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AN OPTICAL SPECTROSCOPIC STUDY OF T TAURI STARS. I. PHOTOSPHERIC PROPERTIES

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Published 2014 April 22 © 2014. The American Astronomical Society. All rights reserved.
, , Citation Gregory J. Herczeg and Lynne A. Hillenbrand 2014 ApJ 786 97 DOI 10.1088/0004-637X/786/2/97

0004-637X/786/2/97

ABSTRACT

Estimates of the mass and age of young stars from their location in the H-R diagram are limited by not only the typical observational uncertainties that apply to field stars, but also by large systematic uncertainties related to circumstellar phenomena. In this paper, we analyze flux-calibrated optical spectra to measure accurate spectral types and extinctions of 281 nearby T Tauri stars (TTSs). The primary advances in this paper are (1) the incorporation of a simplistic accretion continuum in optical spectral type and extinction measurements calculated over the full optical wavelength range and (2) the uniform analysis of a large sample of stars, many of which are well known and can serve as benchmarks. Comparisons between the non-accreting TTS photospheric templates and stellar photosphere models are used to derive conversions from spectral type to temperature. Differences between spectral types can be subtle and difficult to discern, especially when accounting for accretion and extinction. The spectral types measured here are mostly consistent with spectral types measured over the past decade. However, our new spectral types are one to two subclasses later than literature spectral types for the original members of the TW Hya Association (TWA) and are discrepant with literature values for some well-known members of the Taurus Molecular Cloud. Our extinction measurements are consistent with other optical extinction measurements but are typically 1 mag lower than near-IR measurements, likely the result of methodological differences and the presence of near-IR excesses in most CTTSs. As an illustration of the impact of accretion, spectral type, and extinction uncertainties on the H-R diagrams of young clusters, we find that the resulting luminosity spread of stars in the TWA is 15%–30%. The luminosity spread in the TWA and previously measured for binary stars in Taurus suggests that for a majority of stars, protostellar accretion rates are not large enough to significantly alter the subsequent evolution.

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1. INTRODUCTION

Classical T Tauri stars (CTTSs) are the adolescents of stellar evolution. The star is near the end of its growth and almost fully formed, with a remnant disk and ongoing accretion. The accretion/disk phase typically lasts ∼2–5 Myr, though some stars take as long as 10 Myr before losing their disks and emerging toward maturity. Strong magnetic activity leads to pimply spots on the stellar surfaces. Some T Tauri stars (TTSs) are still hidden inside their disks, not yet ready to emerge. Manic mood swings change the appearance of the star and are often explained with stochastic accretion. Depression has been seen in light curves on timescales of days to years. Sometimes every CTTS seems as uniquely precious as a snowflake.

TTS properties were systematically characterized in seminal papers by, e.g., Cohen & Kuhi (1979), Herbig & Bell (1988), Basri & Batalha (1990), Valenti et al. (1993), Hartigan et al. (1995), Kenyon & Hartmann (1995), Gullbring et al. (1998). In the last decade, dedicated optical and IR searches revealed thousands of young stars, typically confirmed with spectral typing (e.g., Hillenbrand 1997; Briceno et al. 2002; Luhman 2004; Rebull et al. 2010). However, significant differences in extinction and accretion properties between different papers and methods has led to confusion in the properties of even the closest and best studied samples of young stars.

Some of this confusion is exacerbated by stochastic and rotation variability of TTSs. While manic and depressive periods provide fascinating diagnostics of the stellar environment and star–disk interactions, they also pose significant problems for assessing the stellar properties and evolution of the star/disk system. How disk mass, structure and accretion rate change with age and mass requires accurate spectral typing and luminosity measurements (e.g., Furlan et al. 2006; Sicilia-Aguilar et al. 2010; Oliveira et al. 2013; Andrews et al. 2013). While median cluster ages provide an accurate relative age scale between regions (e.g., Naylor et al. 2009), age spreads within clusters may be real or could result from observational uncertainties (e.g., Hartmann et al. 1998; Hillenbrand et al. 2008; Preibisch 2012).

The uncertainties in stellar parameters affect our interpretation of stellar evolution. For example, Gullbring et al. (1998) found accretion rates an order of magnitude lower than those of Hartigan et al. (1995) and attributed much of this difference to lower values of extinction. The Gullbring et al. (1998) accretion rates of 10−8M yr−1 means that steady accretion in the CTTS phase accounts for a negligible amount of the final mass of a star. However, subsequent near-IR analyses have revised extinctions upward (e.g., White & Ghez 2001; Fischer et al. 2011; Furlan et al. 2011). These higher extinctions would yield accretion rates of 10−7M yr−1, fast enough that steady accretion over the ∼2–3 Myr CTTS phase would account for ∼20%–50% of the final stellar mass, or more with the older ages measured by Bell et al. (2013). The uncertainties in stellar properties introduce skepticism in our ability to use young stellar populations to test theories of star formation and pre-main-sequence evolution.

For CTTSs, minimizing the uncertainties in spectral type, extinction, and accretion (often referred to as veiling of the photosphere by accretion) requires fitting all three parameters simultaneously (e.g., Bertout et al. 1988; Basri & Bertout 1989; Hartigan & Kenyon 2003). In recent years, such fits have received increasing attention and have been applied to Hubble Space Telescope (HST) photometry of the Orion Nebula Cluster (da Rio et al. 2010; Manara et al. 2012), broadband optical/near-IR spectra of two Orion Nebular Cluster stars (Manara et al. 2013a), and to near-IR spectroscopy (Fischer et al. 2011; McClure et al. 2013).

In this project, we analyze low-resolution optical blue–red spectra to determine the stellar and accretion properties of 281 of the nearest young stars in Taurus, Lupus, Ophiucus, the TW Hya Association (TWA), and the MBM 12 Association. This first paper focuses on spectral types and extinctions of our sample. The primary advances are the inclusion of blue spectra to complement commonly used red optical spectra and use of accretion estimates to calculate the effective temperatures and luminosities with a single, consistent approach for a large sample of stars. Discrepancies are found between our results and near-IR based extinction measurements. We then discuss how these uncertainties affect the reliability of age measurements. This work was initially motivated to calculate accretion rates from the excess Balmer continuum emission, which will be described in a second paper. A third paper in this series will discuss spectrophotometric variability within our sample.

2. OBSERVATIONS

We obtained low resolution optical spectra with the Double Spectrograph (DBSP; Oke & Gunn 1982) on the Hale 200 inch telescope at Palomar Observatory on 2008 January 18–21 and 2008 December 28–30, and with the Low Resolution Imaging Spectrograph (LRIS; Oke et al. 1995; McCarthy et al. 1998) on Keck I on 2006 November 23 and 2008 May 28. The entire sample of the 2006 Keck observations was published in Herczeg & Hillenbrand (2008). The latest spectral types of the 2008 May run were published in Herczeg et al. (2009). The Atmospheric Dispersion Corrector (Phillips et al. 2006) was used for the 2008 May run but was not yet available in 2006 November. Both DBSP and LRIS use a dichroic to split the light into red and blue beams at ∼5600 Å. Details of the gratings and spectral coverage are listed in Table 1.

Table 1. Observation Setup and Log

Telescope Dates Instrument Slit Blue Setup Red Setup
Grating Wavelength Res. Grating Wavelength Res.
Palomar 2008 Jan 18–21 DoubleSpec 1–4'' B600 3000–5700 700 R316 6200–8700 500
Palomar 2008 Dec 28–30 DoubleSpec 4'' B600 3000–5700 700 R316 6200–8700 500
Keck I 2006 Nov 23 LRIS 0farcs7–1'' B400 3000–5700 900 R400 5700–9400 1000
Keck I 2008 May 28 LRIS 1'' B400 3000–5700 900 R400 5700–9400 1000

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On DBSP, the blue light was recorded by the CCD 23 detector, with 15 μm (0farcs389) pixels in a 2048 × 4096 format. The red light was recorded by the Tektronix detector, with 24 μm (0farcs468) pixels in a 1024 × 1024 format. The red detector has since been replaced. On LRIS, the blue E2V and the red LBNL detectors both have 2048 × 4096 pixels with a plate scale of 0farcs135.

Our typical observing strategy consisted of 3–10 short (1–60 s) red exposures and 1–2 long (60–900 s) blue exposures obtained simultaneously. Most DBSP observations in 2008 January were obtained with the 2'' width slit, though a few sources were observed with the 1'' or 4'' width slits, adjusted for seeing. All 2008 December observations were obtained with the 4'' width slit. Our LRIS observations were obtained with the 0farcs7 and 1farcs0 slits. Seeing during both Palomar runs typically varied from 2''–4'', though for a few hours the seeing reached ∼1''. The seeing was ∼0farcs8 and ∼0farcs7 during our 2006 November and 2008 May Keck runs, respectively. Seeing was often worse than these measurements for objects at high airmass. The position angle of the slit was set to the parallactic angle for all observations of single stars to minimize slit loss. For binaries, the position angle may be misaligned with the parallactic angle. These observations were timed to occur at low airmass or when the parallactic angle matched the binary position angle.

The images were overscan-subtracted and flat-fielded. Most DBSP spectra were extracted using a 21 pixel (10'' window centered on the source, followed by subtracting the sky as measured nearby on the detector. Binaries with separations <5'' were extracted simultaneously by assuming a wavelength-dependent point-spread function determined from an observation of a single star observed close in time. The counts from one source are subtracted from the image, yielding a clean extraction of counts from the other source. In several cases, the counts are extracted on only half of the line spread function to further minimize contamination from the nearby component. Each spectrum is then corrected for light loss outside the slit and outside our extraction window based on the measured seeing as a function of wavelength and under the assumption that the point spread function is Gaussian. The light loss is typically 3%–10% and increases to short wavelengths.

2.1. Flux Calibration

To calibrate fluxes, spectrophotometric standards (G191B2B, LLT 3864, Hz 44, Feige 110, and Feige 34; see Oke 1990) were observed ∼8–13 times on most nights. On 2008 January 21, G191B2B was observed twice and the night ended early because of snow. The 2006 Keck run included only two spectrophotometric standards and has a large uncertainty in the flux calibration. These spectra were also used to correct telluric features in the red, particularly H2O bands at 7200 and 8200 Å. Windows between 7580–7680 and 6860–6890 Å are severely contaminated by deep telluric absorption and not used. A different atmospheric transmission curve was calculated for every night and was applied to each spectrum. The correction at 3500 Å ranged from 0.5–0.65 mag/airmass at Palomar and 0.4 mag/airmass at Keck.

The standard deviation in count rates and flux ratios for our 47 DBSP spectra of G191B2B and 9 DBSP spectra of LTT 3864 are listed in Table 2. The flux calibration is based on multiple G191B2B spectra each night, so the standard deviation in flux is not completely independent. The LTT 3864 spectra were observed at airmass ∼three and are all independent data points. The flux calibration within the red channel is <2%. The absolute flux uncertainty, the cross-calibration between the red and blue spectra, and the relative flux calibration within the blue channel are accurate to ∼5%. The quality of the calibration degrades to ∼10% at a high airmass. When extracting close binaries the absolute accuracy in flux is ∼30%, particularly for secondaries that are much fainter than the primary or for observations where the seeing was larger than the binary separation.

Table 2. Flux Calibration

Wavelength G191B2B LTT 3864
(Å) Absolute Scatter in Fluxes
3500 0.067 0.087
4300 0.056 0.046
5400 0.041 0.047
6300 0.063 0.091
8400 0.061 0.089
Flux Ratio Scatter in Flux Ratios
F7020/F7140 0.007 0.005
F8400/F6300 0.016 0.014
F6300/F5400 0.057 0.101
F4300/F5400 0.034 0.051
F3500/F5400 0.048 0.087

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Fringing is often apparent in DBSP spectra at <3700 Å for observations obtained at a high airmass and is likely a result of telescope vignetting. However, accurate continuum fluxes in this region are still measurable in large wavelength bins.

2.2. Sample Selection

At Palomar, we tried to observe all visually bright targets in Taurus with spectral type (SpT) between K0–M4 and targets that were known as of 2008 (see review by Kenyon et al. 2008). A few Taurus objects with spectral types earlier than M4 were missed due to clerical errors. Many new Taurus members were identified after 2008 and are not included here. For later spectral types, our sample is far from complete and is biased to the targets that were optically brightest because they had the best chance of having U-band detections. We also obtained a complete sample of the known objects in MBM 12 (Luhman 2001) and some of the TWA. In some cases, the membership of the star in the parent cloud is uncertain. The stars from the HBC with numbers between 352–357 that were observed here are consistent with low gravity but are likely not members of Taurus (Kraus & Hillenbrand 2009).

During our Keck runs, we observed many brown dwarfs to measure accretion rates at the lowest mass end of the initial mass function. Our 2006 Keck run was focused on Taurus, while the 2008 run included objects in the Ophiucus, Lupus, and Corona Australus molecular clouds and the Upper Sco OB Association.

The source list and final properties for the young stars in our sample are listed in Appendix C (see Table 14). Multiple spectra were obtained for 59 targets, including >3 observations of 29 bright and famous targets. We also obtained spectra of 40 main sequence K and M dwarfs with known spectral type (Kirkpatrick et al. 1993). The spectra from these stars are used when describing field star spectra in Section 3 but are otherwise not discussed.

Our sample includes some brown dwarfs. For simplicity, all objects are referred to as stars regardless of their estimated mass.

3. ESTABLISHING SPECTRAL TEMPLATES FOR T TAURI STARS

The necessary ingredients for age and accretion calculations are the stellar mass, radius, and accretion luminosity. These parameters require measurements of the stellar effective temperature, the photospheric flux, and the extinction. While analysis of optical spectra of main sequence stars from photospheric features is usually straightforward, the lower gravity and presence of accretion complicates the measurement of stellar properties of young stars. Pre-main-sequence stars have similar surface gravity to cool subgiants of luminosity class IV and are offset from the luminosity class V field dwarfs (Figure 1; see also Gray 2005). However, gravity measurements for pre-main-sequence stars are challenging because unlike subgiants, they are fast rotators.

Figure 1.

Figure 1. Isochrones of gravity vs. temperature from Tognelli et al. (2011) for M* > 0.3 M (solid horizontal lines) and Baraffe et al. (2003) for M* < 0.3 M (dotted horizontal lines), plotted analogous to an H-R diagram. Pre-main-sequence tracks of 2.0, 1.0, 0.5, and 0.2 M stars are shown from left to right (red dashed lines). The gravity increases as the star contracts during the pre-main-sequence evolution (log  age as labeled). The gravities of pre-main-sequence stars (green diamonds from Stassun et al. 2007; Santos et al. 2008; Taguchi et al. 2009; D'Orazi et al. 2009, 2011; Biazzo et al. 2011, 2012) are similar to the gravities of luminosity class IV subgiants (blue circles, log g = 3.5–4.5, Valenti & Fischer 2005) and less than the main sequence (thick horizontal line at the bottom, main sequence data points as purple squares from Valenti & Fischer 2005).

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A typical weak lined TTS spectrum is covered with photospheric absorption in molecular bands and atomic lines, along with chromospheric emission in H Balmer and Ca ii H & K lines. Accretors usually show strong emission in those lines, along with weak emission in the Ca ii infrared triplet, in He i lines, in an accretion continuum, and often in forbidden lines. Some accretors show many additional lines, mostly of Fe (e.g., Hamamn & Persson 1992; Beristain et al. 1998). The accretion continuum reduces the depth of photospheric absorption lines, a process that is called "veiling." The veiling is defined as rλ = Fveil/Fphot at a given wavelength λ. The veiling at 5700 Å, r5700, is typically between 0.1–1, though in rare cases the veil may cover the photospheric emission (Hartigan et al. 1995; Fischer et al. 2011). The flux in the photospheric and emission lines are often reduced by extinction.

In this section, we describe our initial approach for measuring the properties of the stars in our sample, with an emphasis on quantifying the approach for measuring SpT, AV, and the accretion continuum flux. The analysis in this section results in a grid of extinction-corrected spectral templates and an approach for including the accretion in spectral type and extinction measurements, which are then applied to the full data set in Section 4.

3.1. Quantification of Spectral Indices

In this subsection, atlases of low-resolution optical spectra are used to establish a set of quantified spectral indices for young stars. The following descriptions are divided by spectral type, each of which is sensitive to a different spectral index. Spectral typing of young stars has typically relied on eyeball comparisons to a sequence of spectral standards. While that approach can be very accurate, a quantified approach allows for greater consistency between different sets of eyes. A quantified approach also readily accounts for accretion and extinction by calculating over a grid of values to find a best fit solution.

The full set of spectral indices discussed in this paper is listed in Table 3. By design, our focus is on K and M stars. The M-dwarf spectral types rely on the depth of TiO and VO absorption bands (hereafter referred to as TiO), which start to become detectable at ∼ K5. For K dwarfs, a spectral type index is developed based on the 5200 Å absorption feature, which is a combination of MgH, Mg b, and Fe i (e.g., Rich 1988). The spectral typing of BAFG stars relies on a visual comparison of the G band and absorption in H and Ca lines.

Table 3. Spectral Indices

Name Continuum Range Band Range Feature x SpT Range Zero-pt rmsa
(C) (B)
G-band 4550–4650 4150–4250 G-band C/B −25.6 + 29.96x G G0 ∼1
R5150 4600–4700 5050–5150 MgH $\frac{F(5100)}{F(4650)} \frac{F_{\rm line}(4650)}{F_{\rm line}(5100)}$b −29.7 + 28.3x  K0-M0 K0 1.0
TiO 6250 6430–6465 6240–6270 TiO log  ($\frac{C}{B}-1$) 3.20–5.43x + 1.73x2 (M0–M4) M0 ...
TiO 6800 6600–6660, 6990–7050 6750–6900 TiO C/B −15.37 + 19.77x  K5–M0.5 K0 ...
TiO 7140 7005–7035 7130–7155 TiO log  ($\frac{C}{B}-1$) 4.36 + 6.33x + 1.57x2  M0–M4.5 M0 0.42c
TiO 7700  8120–8160d 7750–7800 TiO C/B 0.11 + 2.27x M3–M8 M0 0.21
TiO 8465 8345–8385 8455–8475 TiO C/B −0.74 + 4.21x M4–M8 M0 0.18

Notes. All spectral indices are calculated from the median flux in the spectral range. aSpT rms calculated from the literature SpT (R5150, TiO 6800), Kirkpatrick SpT (TiO 7140), and Luhman SpT (TiO 7700, 8465). bThe observed flux ratio is divided by the same ratio obtained from a linear fit to the 4650–5300 Å region, see the text. c0.3 between M1 and M4, 0.8 earlier than M1. dThe 8120–8160 Å continuum range should be used only for spectra that are corrected for telluric H2O absorption.

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The quantification of spectral typing provides an objective and repeatable method to measure spectral types with precision. The quantified prescriptions of M dwarfs are similar to those of Slesnick et al. (2006) and Riddick et al. (2007), while the prescriptions for earlier spectral types are similar to those developed by, e.g., Worthey et al. (1994) and Covey et al. (2007). The spectral indices described here are calculated from the median flux in the relevant spectral range and are tailored to low spectral resolution. These spectral indices are then combined with an accurate flux calibration and blue spectra to measure accretion and extinction simultaneously (see Section 4). In several cases, the spectral index is changed to a log  scale to provide a better fit between spectral type and spectral index. The TiO-7700 spectral index defined here uses a continuum region that overlaps with telluric H2O absorption and should only be used when telluric calibrators are obtained contemporaneously. Use of indices can also be problematic if the spectrum is either not flux calibrated or not corrected for extinction. Converting spectral indices to accurate spectral types requires high signal-to-noise ratio (S/N) in the ∼30 Å integration bins and an accurate relative flux calibration (for example, see Table 2 for our flux calibration relevant to the TiO-7140 index). A 2% error in the TiO indices typically leads to an error of 0.1–0.2 subclasses in spectral type.

Scatter in these quantified relationships are caused by metallicity and gravity differences between stars. The metallicity of nearby young associations is uniform (e.g., Padgett 1996; Santos et al. 2008; D'Orazi et al. 2011). Gravity differences between 1–10 Myr may be significant and are discussed but are not fully investigated.

In the following subsections, we describe how these spectral indices are used to measure spectral types. Each spectral index is sensitive to different spectral types and is discussed separately, beginning with the coolest stars in our sample.

3.1.1. Spectral Types of M Stars

The majority of stars in our sample are M stars. At optical wavelengths, M stars are easily identified from the presence of strong TiO absorption bands. Kirkpatrick et al. (1991, 1993), hereafter Kirkpatrick, established a grid of M-dwarf spectral type standards from field stars. Reid et al. (1995), hereafter PMSU, quantified relationships between spectral type and the depth of TiO bands at 7100 Å from moderate resolution optical spectra based on the Kirkpatrick et al. (1991) sequence.

Luhman (1999); Luhman et al. (2003), hereafter Luhman (also includes, e.g., Luhman 2004, 2006), recognized that for pre-main-sequence stars, the depth of TiO features deviates from dwarf stars because of lower gravity (see also Gullbring et al. 1998). Luhman developed a spectral type sequence for young M dwarfs later than M5 based on a hybrid of field dwarf and giant stars, since TTSs are typically luminosity class IV. For stars earlier than M5, Luhman relied on the Kirkpatrick grid along with the Allen & Strom (1995) red spectroscopic survey of standards. Although the Luhman spectral sequence is well accepted and widely used, it has no standards or quantified conversions between spectral index and spectral type. As a consequence, spectral types based on the Luhman method are likely less precise when applied by authors other than Luhman himself.

Our quantified spectral type sequence is derived from the methods established in those seminal works. In the following analysis, the objects in the PMSU catalog are all assigned a spectral type based on their TiO5–SpT conversion, which is accurate to ∼0.5 subclasses between K7–M6. The TiO5 spectral index, the flux ratio of 7130–7135 to 7115–7120 Å, requires flux measurements in narrow regions and is not possible to calculate from our low resolution spectra. The Luhman sequence discussed here is from a set of 54 young stars spanning M0.5–M9.5 provided by K. L. Luhman (2008, private communication).

Four prominent TiO bands are present in our red spectra (see Figure 2 and Table 3). Figure 3 compares the spectral types and four spectral indices for the PMSU, Kirkpatrick, and Luhman samples. For stars earlier than M5, the Luhman relationship between SpT and TiO depth for young stars was intended to follow the Kirkpatrick et al. (1991) results. However, for objects from M0 to M3, the Luhman spectral types are ∼0.5 subclasses later than the median Kirkpatrick spectral type (TiO-7140 and TiO-6200 spectral indices). For the spectral types later than M5, gravity differences between field M dwarfs and pre-main-sequence M dwarfs lead to the Luhman spectral types being slightly earlier than the median Kirkpatrick object (as discussed by Luhman). For M dwarfs earlier than M4, we adopt the spectral type sequence of Kirkpatrick, which may introduce a small offset between our spectral types and Luhman spectral types. For M dwarfs later than M4, we adopt the spectral type sequence of Luhman. Several additional TiO/VO bands are detected at blue wavelengths and are not well studied (see Figure 4). While our initial approach does not consider these bands, the final spectral types are calculated from a best fit to a spectral sequence using the full optical spectrum.5

Figure 2.

Figure 2. Red spectral sequence from K3–M5.5. Regions used for TiO band indices are highlighted in yellow. Selected gravity-sensitive absorption in CaH λ6382, Fe i λ6497, and the Na i λ8189 doublet are highlighted in blue.

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Figure 3.

Figure 3. Relationships between spectral index and spectral type for four TiO bands. Large circles are calculated from Kirkpatrick (red are main sequence and cyan are giant stars), small blue dots are from PMSU, and green points are from spectra provided by Luhman. Best-fit conversions between spectral index and spectral type are shown as the dashed line and quantified in Table 3. The vertical dotted lines show the spectral type range where these relationships are used. The arrows show how the listed extinction AV = 5 mag. would shift the index.

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Figure 4.

Figure 4. Blue spectral sequence used to measure SpT for K stars (left, from this work) and FG stars (right, luminosity class IV stars from Pickles). K-dwarf spectra show a dip in flux just shortward of the Mg i λ5150 line, which gets stronger to later K and to higher gravity. The right panel shows how the Hγ and the Ca i λ4227 lines (shaded blue regions) vary with SpT from F1 to K3. The shaded yellow regions show the ranges used to calculate spectral indices for G and K dwarfs.

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M4–M8. Objects later than M4 have spectral types assessed from the TiO 7700 and 8500 Å bands, with a conversion from spectral index to spectral type calculated from the sequence of objects provided by Luhman. An uncertainty of 0.2 subclasses is assigned based on the change in feature strength versus subclass and on the standard deviation in the fits to the Luhman objects. This uncertainty is consistent with that assigned by Luhman.

M0–M4. The TiO band at 7140 Å is most reliable for early-to-mid M-dwarfs. Within the Kirkpatrick sample between M0–M4.5, the standard deviation of the index-determined SpT and adopted SpT is 0.4 subclasses. The relative accuracy of spectral typing within a single star-forming region is likely better than 0.40 subclasses because the Kirkpatrick lists SpT at only 0.5 subclass intervals and because the metallicity should be uniform in samples of nearby star forming regions but not in field dwarfs. The TiO 6200 Å band is also sensitive to early-to-mid M dwarfs, with a standard deviation of 0.22 subclasses for spectral types M0-M4 within the Kirkpatrick sample. However, few Kirkpatrick objects were observed at 6200 Å, and the PMSU sample is systematically offset from the Kirkpatrick sample in this TiO feature. As a consequence, we do not use this relationship here to derive spectral types.

3.1.2. K0-M0.5 Spectral Types

Figure 4 (left panel) shows that K dwarfs are characterized by MgH and Mg b absorption at ∼5150 Å. This dip is not present in G-type stars. We define a spectral index, R(5150),

Equation (1)

where F(λ) is the flux in a 100 Å wide band around λ, and Fline(4650)/Fline(5100) is the flux ratio expected at those same wavelengths based on the spectral slope obtained in a linear fit to the λ = 4650 and λ = 5450 Å spectral regions. Dividing by the F(5100)/F(4650) ratio calculated from the linear fit accounts for extinction.

Figure 5 shows the relationship between R(5150) versus literature spectral type for stars with little or no accretion. The spectral types earlier than M0 are obtained from the literature, usually from high-resolution spectra (Basri & Batalha 1990; White & Hillenbrand 2004; White et al. 2007), and are supplemented by some low resolution spectral types from Luhman. Spectral types later than M0 are calculated from the TiO spectral indices. Figure 5 also shows R(5150) versus SpT from the compilation of low resolution spectral atlases by Pickles (1998). The R(5150) index is similar to that of luminosity class IV subgiants and to the average index obtained by adding spectra of dwarfs and giants (luminosity class III + luminosity class V). The relationship is gravity-sensitive and should be applied only to pre-main-sequence K stars.

Figure 5.

Figure 5. Spectral type vs. the spectral index R5150 for young K-dwarfs (see Figure 4) for young stars in our sample (black circles), Pickles templates of luminosity class IV (green squares), V (blue diamonds), and the average of Pickles templates of luminosity class III and V (red squares). The vertical dotted lines show the spectral type range where these relationships are used. The SpT used in this analysis are all from the literature and may differ from the SpT calculated in this work. The turnover around M1 occurs when TiO absorption becomes prominent enough to affect the flux ratio.

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The standard deviation between calculated and literature spectral types between K0 and M0 is 1.0 subclasses. Some of this scatter is attributable to uncertainty in literature spectral type, which typically claim an accuracy of one to two subclasses, and to studies listing integer steps in subclass. We assign an uncertainty of one subclass between K0–M0 for this relationship.

The TiO 6800 Å absorption band is detectable for spectral types K5 and later. From K5–M0, the Kirkpatrick objects are about one subclass later than the Pickles libraries. The PMSU data are also shown, though the PMSU TiO-5 index is not reliable at spectral types earlier than K7. We include a spectral type K8 as an intermediate between K7 and M0. Spectral types between K6–M0.5 are assigned an uncertainty of ∼0.5 subclasses. Most accreting stars in this spectral type range have a spectral type uncertainty of one subclass. Within this range there may be an additional systematic uncertainty of ∼0.5 subclasses between our spectral types and those of Luhman.

3.1.3. B, A, F, and G Spectral Types

By design, only a few objects in our sample have a spectral type earlier than K. Spectral types for these objects are measured by visual comparison to Pickles templates. The shape of the G band helps to determine G spectral types, while the absence of the G band requires that the star be F or later (e.g., Fraunhofer 1814; Cannon 1912; Covey et al. 2007). Both G and F spectral types are also measured from the relative strengths of the 4300 Å line and the nearby Hγ line. Hotter stars have spectral types measured from the strength of Balmer lines and the Ca ii H & K lines. The strength of the Ca ii K line is particularly important for discriminating between B and early A spectral types (e.g., Mooley et al. 2013), although the absorption may be filled in with emission. More rigorous approaches to spectral typing large samples of BAF stars are described by Hernandez et al. (2004) and Alecian et al. (2013). Some uncertainty in our classification is introduced by emission and possible wind absorption in H and Ca lines.

3.2. Photospheric Extinction Measurements

Extinction measurements require a comparison of observed flux ratios or spectral slopes to the same flux ratios or slopes from a star with the same underlying spectrum and a known extinction. For non-accreting stars, this flux ratio can be compared to a photospheric template with similar gravity and negligible extinction. The effect of accretion on photospheric extinction measurements is discussed in Section 3.4.

The extinction curve used in this paper is from (Cardelli et al. 1989) with the average interstellar value for total-to-selective extinction, RV = 3.1. The value for RV increases to 5.5 for larger dust grains found deep in molecular clouds when AV ∼ 20, far larger than any extinction measured in this optical sample (Indebetouw et al. 2005; Chapman et al. 2009). To keep the amount of analysis reasonable and for consistency, RV is assumed to be constant throughout our sample when possible. A few stars could only be fit with higher RV (see Appendix C).

Initial extinctions calculated in this paper and applied to a spectral template grid are based on the flux ratio Fred = (F(8330)/F(6448)) (flux at 8330 Å to that at 6448 Å), although our final extinctions use the full blue-red spectra (see Section 4). The ratio Fred is affected by the photospheric temperature, accretion spectrum, and extinction. These wavelengths are selected to avoid telluric and TiO absorption bands and to maximize the wavelength difference of the two bands while requiring both to be in the red detector.

Figure 6 shows Fred versus spectral type for the full range of SpT (left) and for late K and M dwarfs (right). The curve of Fred versus SpT for AV = 0 for stars earlier than M0 is based on the Pickles spectral atlas, with giants and dwarf having similar values. Objects provided by Luhman are also included to help fill the grid for stars with SpT later than M5. The value of Fred diverges between the young star and the field dwarf sample at SpT later than M4, which confirms the approach of Luhman to calculate a new SpT-effective temperature conversion for young stars. Within this range, a 0.25 uncertainty in SpT subclass leads to a 0.15 mag uncertainty in AV.

Figure 6.

Figure 6. Flux ratio Fred = F(8330)/F(6448) vs. SpT for A–M stars (left) and focused in on K–M stars (right), for SpT calculated from the spectral indices in described in Section 3. Extinction can then be measured by comparing Fred to the expected ratio for a given spectral type.

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At spectral types earlier than K5, we lack the necessary coverage in spectral types of unreddened stars to establish a reliable baseline in Fred versus spectral type to calculate extinctions. Instead, we interpolate Fred over the spectral type grid from the flux-calibrated Pickles compilation of stars with luminosity class V. Most objects in the Pickles compilation have fluxes accurate to ∼1%. For K dwarfs, Fred is about 5% larger for objects of luminosity class III and IV relative to V. We therefore multiply the interpolated curve by 3%, intermediate between luminosity classes III and V and assess a 3% uncertainty in the flux baseline. This uncertainty introduces a 0.12 mag uncertainty in AV measurements. For F and G dwarfs, Fred is not very sensitive to changes in SpT, with an average change of 2% per subclass so that a one-subclass SpT uncertainty leads to a 0.07 mag. uncertainty in AV.

3.3. A Grid of Pre-main-sequence Spectral Types

Based on the previous descriptions, a grid of photospheric spectral templates are established and listed in Section 4. Templates at spectral types earlier than K0 are obtained from the Pickles library because of very sparse coverage in our own data. At K0 and later, weak lined TTSs with low extinctions are selected from our spectra for use as photospheric templates. This criterion leads to the selection of many TWA objects for our grid. The conversion from the spectra to temperature and luminosity are described in the following two subsubsections.

Table 4. Derived Parameters for Grid of Weak-lined T Tauri Stars

Star SpTa AVa Teff
(mag) (K)
HBC 407 K0 0.80 5110
HBC 372 K2 0.63 4710
LkCa 14 K5 0.00 4220
MBM12 1 K5.5 0.00 4190
TWA 9A K6.5 0.00 4160
V826 Tau K7 0.38 4020
V830 Tau K7.5 0.40 3930
TWA 6 M0 0.00 3950
TWA 25 M0.5 0.00 3770
TWA 13S M1.0 0.00 3690
LkCa 4 M1.5 0.00 3670
LkCa 5 M2.2 0.27 3520
LkCa 3 M2.4 0.00 3510
TWA 8A M3.0 0.00 3390
TWA 9B M3.4 0.00 3340
J1207-3247 M3.5 0.00 3350
TWA 3B M4.1 0.00 3120
XEST 16-045 M4.4 0.00 3100
J2 157 M4.7 0.41 3050
TWA 8B M5.2 0.00 2910
MBM12 7 M5.6 0.00 2890
V410 X-ray 3 M6.5 0.25 2830
Oph 1622-2405A M7.25 0.00 2750
2M 1102-3431 M8.5 0.00 2590

Note. aFrom red spectrum, may differ from final SpT, AV.

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This set of stars is then combined into a grid. Two separate spectral sequences are calculated from stars at ∼one subclass intervals. Between K5–M6, the grids comprise of every second star in Table 4 and are therefore independent. The two grids are then linearly interpolated at 0.1 subclasses (earlier than M0) and 0.05 subclasses (later than M0) and are averaged to create a final spectral grid. Therefore, the photospheric template at all classes between K6–M5.5 includes the combination of three to four stars. This method minimizes the problems introduced by any single incorrect spectral type or extinction within this spectral sequence.

Unresolved binarity affects photospheric measurements of both our spectral grid and our target stars. Among the known multiple systems in our grid, V826 Tau is a near-equal mass spectroscopic binary, so the combined optical spectrum would have a very similar spectrum as both components. LkCa 5 has a very low-mass companion (Kraus et al. 2011) that contributes a negligible amount of flux at optical wavelengths. Although LkCa 3 is a quadruple system consisting of two spectroscopic binaries (Torres et al. 2013), the global spectral type and extinction is reasonable compared to other stars of similar SpT. In the spectral fits described in Section 4, the combined use of multiple templates for any given star should minimize the problems introduced by known and unknown binarity in the templates.

3.3.1. Conversion from Spectral Type to Effective Temperature

The standard conversion from SpT to effective temperature for young stars is based on the work of Schmidt-Kaler (1982) and Straizys (1992), as compiled by Kenyon & Hartmann (1995). Luhman updated this conversion for M-dwarf TTSs, based on a scale intermediate between giants and dwarfs. Synthetic M-dwarf spectra from model atmospheres have advanced considerably since Luhman et al. (2003) established this conversion. Rajpurohit et al. (2013) recently obtained a new scaling between spectral type and temperature for M dwarfs by comparing BT-Settl synthetic spectra calculated from the Phoenix code (e.g., Allard & Hauschildt 1995; Allard et al. 2012) to observed low-resolution spectra. A similar approach by Casagrande et al. (2008) with the Cond-Gaia synthetic spectra yielded much lower temperatures than Rajpurohit et al. (2013) for the same spectral type.

An initial comparison between our standard grid and Phoenix/BT-Settl synthetic spectra with CFITSIO opacities and gravity log g = 4.0 (Allard et al. 2012; Rajpurohit et al. 2013) reveals good agreement between the observed and synthetic spectra for temperatures higher than ∼3200 K. Discrepancies between the observed and modeled depths of TiO absorption bands are problematic at cooler temperatures (Figure 7). We speculate that some of these differences may be explained with uncertainties in the strengths of TiO transitions and in the strength of continuous optical emission produced by warm dust grains in the stellar atmosphere. Details of these comparisons and fits of the synthetic spectra to observed spectra are described in Appendix B.

Figure 7.

Figure 7. Spectrum of the M5.2 WTTS TWA 8B, compared with BT Settl models of the best-fit temperature. The spectra are scaled to unity at 7325 Å. The synthetic spectrum significantly overproduces emission between 4000–6000 Å. The TiO bands are deeper in the observed spectrum than in the synthetic spectrum.

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An effective temperature scale for pre-main-sequence stars is derived by fitting Phoenix/BT-Settl synthetic spectra to our spectral type grid (K5–M8.5) and Pickles luminosity class IV stars (F–K3). Figure 8 and Table 5 compares our new K and M-dwarf temperature scale to other pre-main-sequence and dwarf temperature scales.6 Our scale matches the Luhman scale between M0–M4 and deviates at later spectral types. The differences between our scale and the Rajpurohit et al. (2013) scale are likely attributed to gravity differences between pre-main-sequence and dwarf stars. The K-dwarf temperature scale is shifted to lower temperatures relative to the scale used by Kenyon & Hartmann (1995).

Figure 8.

Figure 8. Conversion from spectral type to effective temperature from Luhman et al. 2003 (black diamonds), Rajpurohit et al. 2013 (blue circles, with best-fit polynomial shown as dashed blue line), Casagrande et al. 2008 (green squares, with best-fit line shown as dashed green line), and this work (red asterisks). Small spectral type and temperature changes are randomly applied to the Rajpurohit et al. data so that each point is visually displayed. The shaded yellow region shows the approximate temperature range at constant spectral type derived from atmosphere models, accounting for uncertainties in the comparison between model and observed spectra.

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Table 5. Spectral Type to Temperature Conversions

SpT CK79a Ba KH95a C08a R13a L03 Here
F5 ... ... 6440 ... ... ... 6600
F8 ... ... 6200 ... ... ... 6130
G0 5902 6000 6030 ... ... ... 5930
G2 5768 ... 5860 ... ... ... 5690
G5 ... 5580 5770 ... ... ... 5430
G8 5445 ... 5520 ... ... ... 5180
K0 5236 ... 5250 ... ... ... 4870
K2 4954 5000 4900 ... ... ... 4710
K5 4395 4334 4350 ... ... ... 4210
K7 3999 4000 4060 ... ... ... 4020
M0 3917 3800 3850 ... 3975 ... 3900
M1 3681 3650 3720 3608 3707 3705 3720
M2 3499 3500 3580 3408 3529 3560 3560
M3 3357 3350 3470 3208 3346 3415 3410
M4 3228 3150 3370 3009 3166 3270 3190
M5 3119 3000 3240 2809 2993 3125 2980
M6 ... ... 3050 2609 2834 2990 2860
M7 ... ... ... 2410 2697 2880 2770
M8 ... ... ... 2210 2588 2710 2670
M9 ... ... ... ... 2511 2400 2570

Notes. aConversions developed for field dwarfs—CK: Cohen & Kuhi (1979); B: Bessell (1979) and Bessell (1991); KH: Adopted by Kenyon & Hartmann (1995); from Schmidt-Kaler (1982) and Straizys (1992); C08: Casagrande et al. (2008); R13: Rajpurohit et al. (2013); L03: Luhman et al. (2003).

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3.3.2. Photospheric Luminosities

Stellar photospheric luminosities, Lphot, are calculated using the Phoenix/BT-Settl models with CFITSIO opacities (Allard et al. 2012) for effective temperatures <7000 K. Similar bolometric corrections for hotter stars are calculated from the NextGen model spectra (Hauschildt et al. 1999). The flux ratio F7510/Lphot is used as the bolometric correction and applied to the measured photospheric fluxes (Figure 9 and Table 6). These conversions all assume a gravity of log g = 4. Differences due to subtracting the a flat continuum in late M dwarfs (3.2) amount to ∼1% of the total stellar luminosity and are ignored here.

Figure 9.

Figure 9. Bolometric correction applied to our data set, calculated by comparing the flux at 7510 Å to the total luminosity in the BT-Settl stellar model (black, adopted for T < 7000 K) and NextGen stellar model (red, adopted for T > 7000 K). The bolometric correction is modified from the models to account for the weakness of the VO 7510 Å absorption band, relative to model predictions.

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Table 6. Bolometric Corrections from F7510

Tphot F7510/Fphot Tphot F7510/Fphot Tphot F7510/Fphot
2400 8.98e-06 4300 8.90e-05 6400 8.78e-05
2500 1.49e-05 4400 9.04e-05 6600 8.55e-05
2600 2.35e-05 4500 9.18e-05 6800 8.32e-05
2700 3.37e-05 4600 9.31e-05 7000 8.12e-05
2800 4.26e-05 4700 9.41e-05 7200 7.90e-05
2900 5.30e-05 4800 9.50e-05 7400 7.66e-05
3000 5.80e-05 4900 9.56e-05 7600 7.41e-05
3100 6.41e-05 5000 9.59e-05 7800 7.17e-05
3200 6.98e-05 5100 9.64e-05 8000 6.92e-05
3300 7.52e-05 5200 9.66e-05 8200 6.66e-05
3400 7.93e-05 5300 9.64e-05 8400 6.42e-05
3500 8.20e-05 5400 9.61e-05 8600 6.15e-05
3600 8.43e-05 5500 9.56e-05 8800 5.88e-05
3700 8.58e-05 5600 9.51e-05 9000 5.61e-05
3800 8.73e-05 5700 9.44e-05 9200 5.37e-05
3900 8.80e-05 5800 9.36e-05 9400 5.12e-05
4000 8.89e-05 5900 9.28e-05 9600 4.86e-05
4100 8.83e-05 6000 9.18e-05 9800 4.63e-05
4200 8.75e-05 6200 8.99e-05 10000 4.41e-05

Notes. T < 7000 K from BT-Settl models, corrected for scaling factor listed in Table 13. T > 7000 K from Phoenix models.

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At temperatures <3500 K, the opacity in a VO absorption band at 7500 Å is much larger in synthetic spectra than in the observed spectra. At these temperatures, the bolometric correction for 7510 Å flux is calculated by fitting a line between the flux at 7300 and 7580 Å, omitting the VO opacity from the fit.

3.4. Including the Accretion Continuum in Spectral Fits

Many young stars have strong enough accretion to partially or, in rare cases, even fully mask the photosphere. Fully masked stars have no detectable photosphere and have no measured spectral type, but an extinction is still measurable with an estimate for the shape of the accretion continuum. Even for lightly veiled stars, the extinction should be measured by comparing the observed colors to a combination of the photospheric spectrum and the accretion continuum spectrum. This subsection describes how to estimate the shape and strength of the accretion continuum so that it can be included in extinction measurements.

3.4.1. The Shape of the Accretion Continuum Spectrum

Including the accretion spectrum into the spectral fit requires an estimate for veiling versus wavelength. The measureable accretion continuum is produced by H recombination to the n = 2 level (Balmer continuum, λ < 3700 Å) and to the n = 3 level (Paschen continuum λ < 8200 Å), plus an H continuum (for detailed descriptions, see Calvet & Hartmann 1992; Calvet & Gullbring 1998). The ratio of these different components depends on the temperature, density, and optical depth of the accreting gas and heated chromosphere. The size of the Balmer jump between stars is different (e.g., Herczeg et al. 2009), which forces this analysis to be restricted to the shape of the continuum either at <3700 Å or between 3700–8000 Å. Here we concentrate on the emission at >4000 Å. The spectral slope at <3700 Å is uncertain in the observed spectra due to the large wavelength dependence in the telluric correction near the atmospheric cutoff.

The exact shape of the accretion continuum likely depends on the properties of the accretion flows. Models of the accretion continuum typically assume a single shock structure. Fitting the Balmer continuum emission leads to model spectra where at >4000 Å, the flux decreases with increasing wavelength (see Figure 3 from Ingleby et al. 2013 for spectra from isothermal models at different densities). These synthetic spectra underestimate the observed veiling at red wavelengths (see, e.g., models of Calvet & Gullbring 1998 and measurements by Basri & Batalha 1990 and Fischer et al. 2011). Ingleby et al. (2013) explains this problem by invoking the presence of accretion columns with a range of densities, some of which are lower density than has been typically assumed and produces cooler accretion shocks. This physical situation may be expected if accretion occurs in several different flows or if a single flow has a range of densities, perhaps because the magnetic field connects with the disk at a range of radii. The weaker shocks yield cooler temperatures and produce redder emission, thereby recovering the measured veilings around 1 μm.

Empirical measurements of the accretion continuum flux are shown in Figure 10. The fraction of emission attributed to the accretion continuum is calculated from the optical veiling measurements of Fischer et al. (2011) and the relationship (rλ = (Facc/Fphot)). This fraction is then converted to the accretion continuum flux by two different methods: (a) multiplying the fraction by our flux-calibrated spectra that are corrected for extinction and (b) multiplying the veiling by the flux from the template spectrum for the relevant spectral type from Table 4. Uncertainties in the accretion continuum are estimated to be 0.05 times the flux from the calibrated spectrum and 0.05 times the total standard+accretion flux, respectively.7 These two methods are somewhat independent from each other but yield similar results.

Figure 10.

Figure 10. Accretion continuum flux of eight stars. For the top six stars, the accretion continuum is calculated from veiling measurements in Fischer et al. (2011) and the stellar flux measured here and then corrected for extinction (method b in the text). For the heavily veiled stars DR Tau and CW Tau in the bottom panel, the accretion continuum is calculated by multiplying the measured veiling to photospheric templates (method a). Uncertainties are assessed by including a 0.05 uncertainty in the veiling measurement and a 10% uncertainty in the flux. Differences in the slope of the accretion continuum between sources (e.g., slightly rising with wavelength for AA Tau but slightly falling for IP Tau) may be real or may be introduced by observational uncertainties. Our assumption that the optical accretion continuum is flat (shown here as the dashed horizontal line) is roughly consistent with these calculations and with the optical veiling measurements of Basri & Batalha (1990).

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Table 7 compares the χ2 from linear fits ($\chi ^2_{\rm line}$) and flat fits ($\chi ^2_{\rm flat}$) to the accretion continuum fluxes for methods (a) veil*flux and (b) veil*template described above. Most cases are consistent with a flat accretion continuum. The veiling measurements tend to be smaller at longer wavelengths because the photospheric flux is brighter in the red than in the blue. This exercise presents somewhat circular logic because the spectral type and extinction are both calculated assuming that the accretion continuum is flat. Method (b) depends less on the assumption of a flat continuum but is sensitive to gravity and spectral type uncertainties in the optical colors. However, the results from both approaches demonstrate that the assumption of a flat accretion continuum is reasonable and self-consistent.

Table 7. Slopes of the Accretion Continuum

Star a: veil * flux b: veil * template
F4/F8a $\chi ^2_{\rm line}$ $\chi ^2_{\rm flat}$ F4/F8a $\chi ^2_{\rm line}$ $\chi ^2_{\rm flat}$
AA Tau 0.79 0.4 0.4 0.64 0.5 0.4
BP Tau 1.09 0.4 0.5 0.70 3.7 1.4
CW Taub 1.03 1.4 1.6 1.03 0.8 0.9
CW Taub 1.08 1.1 1.2 1.08 0.5 0.5
CY Tau 1.39 4.3 5.7 1.00 8.7 10
DF Tau 0.53 17 6.8 0.3 61 7.4
DO Tau 1.29 1.7 0.8 0.76 8.9 5.2
IP Tau 1.59 1.7 1.9 1.46 1.3 2.0
DG Tau 1.04 2.0 2.3 0.80 3.7 2.1
DK Tau 0.87 2.2 2.1 0.72 3.2 1.4
DL Tau 0.98 4.2 4.7 0.98 1.4 1.6
DR Tau 0.83 12.6 10 1.42 3.9 0.9
HN Tau A 1.42 3.9 0.9 1.46 5.5 1.8

Notes. Spectral slopes of the accretion continuum for two methods. of converting the veiling to flux, see also Figure 10. Flat χ2 has 8 degrees of freedom, linear fit has 7. aF4/F8: flux ratio of accretion continuum at 4000 Å to 8000 Å. bFischer et al. (2011) observed CW Tau twice.

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Based on these calculations and the results of Ingleby et al. (2013), we make the simplifying approximations that the shape of the accretion continuum is (1) the same for all accretors and (2) that the accretion continuum is constant, in erg cm−2 s−1 Å−1, at optical wavelengths. In contrast, Hartigan & Kenyon (2003) assumes that the accretion continuum is a line with a slope that differs from star to star. Real differences between spectra are surely missed in our approach. However, our approach is simpler and reproduces the observed spectra with fewer free parameters. A more rigorous assessment of the accretion continuum spectrum is possible from broadband high resolution spectra, which has been applied to small samples (e.g., Fischer et al. 2011; McClure et al. 2013) but is time consuming, has not yet been implemented for large data sets, and suffers from the same degeneracies and systematic trades between surface gravity, reddening, and veiling by emission from the accretion shock and the warm inner disk.

3.4.2. Veiling Estimates at Ca i 4227

Veiling can be accurately measured from high resolution spectroscopy (e.g., Basri & Batalha 1990; Hartigan et al. 1991) or estimated from low resolution spectrophotometric fitting (e.g., Fischer et al. 2011; Ingleby et al. 2013). Here we develop an intermediate approach to measure the veiling by comparing the depth of a single, strong absorption line to its depth in a template star. While accurate veiling measurements require high resolution spectroscopy, veiling may be estimated by measuring the depth of strong photospheric lines in low resolution spectra. This section concentrates on the strong Ca i λ4227 line.

Figure 11 shows spectra of the Ca i region versus spectral type. The Ca i equivalent width depends on spectral type as

Equation (2)

where x = 50, 58, 63 for K0, M0, and M5, respectively (Figure 12). Values lower than this equivalent width indicate that the depth of the photospheric absorption is reduced because of extra emission from the accretion continuum. This difference yields the strength of the accretion continuum at 4227 Å.

Figure 11.

Figure 11. Ca i λ4227 photospheric absorption line (shaded yellow region) vs. spectral type for WTTSs from early K through mid M for stars listed in Table 4. In low-resolution spectra, emission lines produced by accretion processes can fill in the photospheric absorption, as shown for heavily veiled spectra of Sz 102 and DP Tau (top red spectra).

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Figure 12.

Figure 12. Ca i λ4227 line equivalent width vs. SpT, for WTTSs (blue circles) and CTTSs (red squares) in our sample. The accretion continuum at 4227 Å is calculated by comparing the equivalent width in the line to that expected at a given SpT. For CTTSs, this line is often shallower than expected because of accretion, a fact which we exploit to measure the strength of the accretion continuum from low-resolution spectra.

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Figure 13 shows an example of how the veiling at 4227 Å is estimated for each source. A flat accretion spectrum is added to the template photospheric spectrum so that the combination matches the observed line depth. The Ca i absorption line is sometimes filled in by emission from nearby Fe lines, thereby affecting the veiling estimate (Gahm et al. 2008; Petrov et al. 2011; Dodin & Lamzin 2012). Although this particular line is also sensitive to surface gravity, the use of temperature matched WTTS as templates should mitigate gravity-dependent line depth systematics. For cooler stars, calculating the accretion continuum flux at 4227 Å maximizes the sensitivity to accretion for cool stars because the ratio of accretion flux to photospheric flux is higher at short wavelengths.

Figure 13.

Figure 13. Our method of fitting a photosphere, an accretion continuum, and an extinction, demonstrated for the CTTS GO Tau, as described in Section 4. The photospheric template (red spectrum) is determined from the molecular band indices (see Section 3.1), with a strength that is reduced by a flat accretion continuum spectrum (blue dashed line). The accretion continuum flux is estimated from the depth of the Ca i λ4227 line (see Section 3.4). The photospheric temperature, stellar luminosity, accretion continuum strength, and extinction are all free parameters that vary until a best fit (purple spectrum) is found and visually confirmed.

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4. FINAL ASSESSMENT OF STELLAR PARAMETERS

The previous section provides a grid of spectral templates (Table 4), a method to estimate the strength of the accretion continuum emission, and a description of extinction. In this section, we apply these analysis tools to simultaneously measure the spectral type, extinction, and accretion for our sample. Our procedures for K and M spectra with zero to moderate veiling are discussed in Section 4.1. Heavily veiled stars require a different approach and are discussed separately in Section 4.2. We then describe in Section 4.3 how these methods are implemented for several selected stars. In Sections 4.4 and 4.5, spectral types and extinctions are compared to selected measurements in the literature.

Our final spectral types, extinctions, veilings, and photospheric parameters are presented in Appendix C. Some stars have extinction values that are measured to be negative. These extinctions are retained for statistical comparisons to other studies but are unphysical and treated as zero extinction when calculating luminosities.

4.1. Stars with Zero to Moderate Veiling

A best-fit SpT, Lphot, AV, and accretion continuum flux (veiling) is calculated for each star by fitting 15 different wavelength regions from 4400–8600 Å. The wavelength regions are selected by concentrating on obtaining photospheric flux measurements both within and outside of absorption bands. For stars with spectra covered by emission lines (more than the H Balmer, He i, and Ca ii lines), the bluest regions are excised from the fit and the remaining wavelength regions are altered to focus on continuum regions. The wavelength regions incorporate the spectral type indices described previously. The accretion continuum flux is initially estimated from the equivalent width of the Ca i line and is manually adjusted. All fits are confirmed by eye. This approach is similar to that taken by Hartigan & Kenyon (2003) to analyze spectra of close binaries in Taurus, although our spectral coverage is broader and our grid of WTTSs is more complete.

Spectral types and extinctions are calculated from the spectral grid established in Section 3.3. The spectral types are listed to 1, 0.5, and 0.1 subclasses for spectral types earlier than K5, K5–M0, and later than M0. Extinction is calculated at intervals of AV = 0.02 mag. and listed to the closest 0.05 mag. For M dwarfs, these values approximately Nyquist sample the uncertainties of ∼0.2–0.3 subclasses in SpT and ∼0.2–0.3 mag. in AV. The accretion continuum is fixed to 0 for stars with no obvious signs of accretion. For accreting stars, the accretion continuum is also initially a free parameter. Comparing the results of this grid yield an initial best fit to the spectral type, accretion continuum strength, and extinction. This initial spectral type measurement is then used to constrain the accretion continuum from fitting to the Ca i 4227 Å line (Section 3.4). With this new accretion continuum, a new best-fit spectral type and extinction are calculated. For stars used as templates, our best fit SpT and AV are calculated here from the full photospheric grid and may therefore differ slightly from the values listed in Table 4.

As a check for self-consistency, most of our final SpT and AV agree with earlier measurements in this project to 0.1 subclass in SpT and 0.1 mag., respectively, for M dwarfs. The previous measurements were based on a slightly different spectral grid. This comparison defines our internal precision for extinction and spectral type.

Figure 13 demonstrates how this method is implemented for the CTTS GO Tau. The accretion continuum and photospheric spectrum together match the Ca i 4227 Å line, many other bumps in the blue spectrum, and the TiO absorption in the red spectrum. In some cases the best fit accretion continuum is found to differ from the Ca i absorption depth calculated based on Figure 12, likely because weak line emission fills in the photospheric absorption line. Indeed, emission in several lines around 4227 Å is seen from many heavily veiled stars. Accounting for veiling is particularly important for stars with moderate or heavy veiling (>0.1 at 7000 Å), as described for several individual sources in Section 4.2. Even for lightly veiled stars, accretion can affect the SpT and extinction.

Repeated observations for 59 targets in our sample yield more accurate photospheric measurements because the best fit spectral type should be consistent despite changes in the veiling. The spectral type, extinction, and accretion continuum flux were initially left as free parameters for each spectrum. No significant change in SpT was detected. The final SpT was set to the average SpT of all spectra of the object. The spectra were then fit again with this SpT, leaving extinction and the accretion continuum flux as the free parameters. The average extinction value was then applied to all observations of a given object, when possible, to calculate the accretion and photospheric luminosity. In three cases, definitive changes are detected and a single extinction cannot be applied. This approach of trying to find a single extinction to explain repeated spectra should miss some real changes in extinction. Changes in the strength of the accretion continuum are frequently detected among the different spectra, usually with amplitude changes of less than a factor of ∼three. No star in our sample changes between lightly and heavily veiled. Spectral variability will be discussed in detail in a subsequent paper.

4.2. Heavily Veiled Stars

Heavily veiled stars have spectra dominated by emission produced by accretion, with little or no detectable photospheric component and a forest of emission lines at blue wavelengths (Figure 14). In some cases, high resolution spectra can yield enough photospheric absorption lines to reveal a spectral type (White & Hillenbrand 2004). In our work, the 5200 Å band and the TiO bands can be detected from some objects despite high veiling. RNO 91 has few photospheric features but many fewer emission lines than the other stars. A weak 5200 Å bump of RNO 91 suggests a SpT of K0–K2, while a stronger bump for HN Tau A suggests K2–K5. Both RNO 91 and HN Tau A lack detectable TiO absorption. DL Tau has weak TiO absorption and has a SpT between K5–K8. Two cases, CW Tau and DG Tau, are assigned spectral types of K3 and K6.5 and are discussed in detail in Sections 4.3.5 and 4.3.6.

Figure 14.

Figure 14. Extinction-corrected spectra of heavily veiled stars. These stars cannot be spectral typed from low-resolution spectra and are classified as "continuum" objects. Extinctions for heavily veiled sources are measured by assuming that the observed continuum is flat. In our low-resolution spectra, this continuum is measurable at >4600 Å. The blue spectra of heavily veiled objects are typically covered in a forest of emission lines.

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The stars VV CrA, GV Tau AB, AS 205A, and Sz 102 have no obvious photospheric features in our spectra and are listed here as continuum sources. These sources likely have spectral types between late G and early M, since earlier and later spectral types are unlikely based on indirect arguments. At spectral types earlier than late G, the photosphere is bright enough that it dominates the spectrum for reasonable accretion rates. For stars cooler than early M, the photosphere is so red that the TiO bands are always easily detected at red wavelengths (e.g., Herczeg & Hillenbrand 2008). An M5 star with veiling of 30 at 8400 Å would still have a TiO band depth of 3%, which is detectable in most of our spectra because of sufficient signal to noise and flux calibration accuracy. Such a high veiling is not expected for M5 stars because the accretion rate correlates with $M_\ast ^2$. Indeed, several mid–late M dwarfs (e.g., GM Tau, CIDA 1, 2MASS J04141188+2811535, J04414825+2534304) have blue spectra with high veiling and are covered by a forest of chromospheric emission lines, similar to the cases of CW Tau and DG Tau, but they have red spectra with easily identified TiO absorption. Only between K0–M2 are photospheric features weak enough and the photosphere faint enough that it could be fully masked by a strong accretion continuum.8

For heavily veiled stars, the extinction is calculated by assuming that the accretion continuum is flat (see CW Tau and DR Tau in Figure 10) and dominates the optical emission. Extinction corrected spectra for three stars are presented in Figure 14. Fits to the continuum were made to avoid emission lines and TiO emission (see Section 5.4.2). The extinction is likely underestimated to stars such as HL Tau, Sz 102, GV Tau, and 2MASS J04381486+2611399 because of edge-on disks and/or remnant envelopes. The optical flux from these sources is very faint but appears to have no or little extinction. These three objects also have forbidden emission lines with large equivalent widths, characteristic of sources where the edge-on disk occults the star but not the outflow.

4.3. Examples of Specific Stars

These subsections illustrate how the logic described above is implemented for several example stars, which cover a range of spectral type and accretion rate. The pre-main-sequence tracks applied here to calculate masses and ages are combined from Tognelli et al. (2011) and Baraffe et al. (2003), as described in Appendix C.

4.3.1. UScoCTIO 33

UScoCTIO 33 was originally identified as a possible member of the Upper Scorpius OB Association in a photometric survey by Ardila et al. (2000). A spectroscopic survey by Preibisch et al. (2002) confirmed membership, classified the star as M3, and found strong Hα emission indicative of accretion.

Figure 15 shows our Keck spectrum of UScoCTIO 33 compared with M3 and M4.5 stars with a veiling r7525 = 0.0 and 0.25. If the veiling is 0, the red spectrum is best classified as an M3 spectral type, with only small inconsistencies between the template and the spectrum. However, the M3 template spectrum is much weaker than the observed blue emission. The veiling r7525 = 0.25 is calculated from the depth of the Ca i λ4227 line. Subtracting this accretion continuum off of the observed spectrum yields photospheric lines that are deeper than the uncorrected observation. The consequent M4.5 spectral type with veiling improves the fit to the red and blue spectra.

Figure 15.

Figure 15. Spectrum of UScoCTIO 33 compared to M3 and M4.5 spectra with veiling r7510 = 0.0 (top) and 0.25 (bottom). If veiling by accretion is not accounted for, the 6000–9000 Å spectrum appears to be an M3 (top). However, the M3 template badly underestimates the blue emission. If we estimate and subtract off an accretion continuum, the spectrum is consistent with an M4.5 star (bottom).

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The M4.5 SpT leads to a mass of 0.11 M and an age of 5 Myr. The M3 SpT and no veiling yields a mass of 0.32 M and an age of 35 Myr, assuming no change in AV.

4.3.2. DM Tau

The literature spectral type of M1 for DM Tau traces back to Cohen & Kuhi (1979). Despite significant interest as the host of a transition disk (e.g., Calvet et al. 2005), its spectral type has not been reassessed using modern techniques.

Figure 16 shows the veiling-corrected DM Tau spectrum 2008 December 29, compared with M2, M3, and M4 spectra. The veiling is calculated from the depth of the Ca i 4227 Å line. The veiling r7510 = 0.17 leads to SpT of M3 and AV = 0.08. If the composite photospheric+accretion spectrum is not constrained by a good fit to the Ca i λ4227 line, then r7510 could range from 0.09, with SpT M2.7 and AV = −0.20, to 0.31, with SpT M3.4 and AV = 0.50. In this case, the extinction increases with later spectral type because the veiling has increased (see also the case of DP Tau). If the blue side is ignored entirely, then a veiling of r7510 = 0 would yield M2.5 and AV = 0.06 while an upper limit on veiling of r7510 = 0.39 would yield M4.1 and AV = −0.06. In these latter cases, the resulting red spectrum looks reasonable. The uncertainties in SpT and veiling are about half the size of these ranges when using the blue and red spectra together. Even with the blue+red spectrum, differences between M2 and M4 are subtle and are likely undetectable with a cruder method, such as photometry.

Figure 16.

Figure 16. Optical spectra of DM Tau (top, M3.0) and TW Hya (bottom, M0.5), after subtracting a flat accretion continuum and compared with templates of different spectral type (colored spectra). TW Hya is consistent with a spectral type of M0.5, intermediate between previous measurements of M2 and K7. The M3 spectral type of DM Tau is later than literature measurements of M1.

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The change from M1 to M3 for DM Tau leads to a younger age (17 versus 4.9 Myr) and a lower mass (0.62 versus 0.35 M), assuming no change in AV. The luminosity does not change significantly because the bolometric correction from the red photospheric flux is similar for an M1 and an M3 star.

4.3.3. TW Hya

Despite being the closest and possibly the most studied CTTS, the spectral type of TW Hya has been the subject of some controversy. The original spectral type of K7 was obtained from low resolution spectroscopy by de la Reza et al. (1989). Yang et al. (2005) used high-resolution optical spectra to measure an effective temperature of 4126 ± 24 K, equivalent to K6.5. They caution that the uncertainty in effective temperature likely underestimates systematic uncertainties. This spectral type is consistent with the K7 SpT derived by Alencar & Batalha (2002), also from high-resolution spectra. In contrast, Vacca & Sandell (2011) relied on low resolution spectra from 1–2.4 μm to obtain a new spectral type of M2.5. McClure et al. (2013) found that TW Hya is consistent with roughly M0 spectral type at 1.1 μm. Debes et al. (2013) argued that the 5500–10200 Å spectrum is a composite K7+M2 in the near-IR, with the warmer component related to accretion. Debes et al. (2013) did not consider veiling by the accretion continuum, which would preferentially cause the measured SpT at short wavelengths to be earlier than the actual spectral type.

Figure 16 shows that the optical spectrum is consistent with an M0.5 spectral type, which corresponds to ∼3810 K, with AV = 0.0 mag. and veilings that range r = 0.09–0.21. This spectral type is consistent with all of our TW Hya spectra, obtained on seven different nights in 2008 January, May, and December. The effective temperature is significantly lower than that from Alencar & Batalha (2002) and Yang et al. (2005). While spectral fits to high resolution spectra may suffer from emission lines filling in photospheric absorption for strong accretors (e.g., Gahm et al. 2008; Dodin & Lamzin 2012), this problem is not expected to be significant for a weakly accreting star like TW Hya. However, the high veiling during the Yang et al. (2005) observation, three times higher than the median veiling measured here and by Alencar & Batalha (2002), may have complicated their temperature measurements.

Our spectral type is inconsistent with the late spectral type of Vacca & Sandell (2011). An M2 spectral type could only be recovered for our TW Hya spectra if the accretion continuum were three times larger in the red than that measured in the blue, which is inconsistent with both models and previous measurements of the accretion continuum. The spectral templates of Vacca & Sandell (2011) were dwarf stars, which may differ in certain near-IR features from TTSs. Visual inspection of these templates do not reveal significant differences between TW Hya and an M0.5 dwarf star, except in the H2O band at 1.35 μm. McClure et al. (2013) also found that all K7–M0 CTTSs appear as M2 dwarf stars in one of their most prominent line ratios, which demonstrates the need to use WTTSs as templates. A composite spectrum of photospheres with different temperatures is not needed to explain the optical spectrum at <10,000 Å, although magnetic spots are expected to affect effective temperature measurements.

4.3.4. FM Tau

FM Tau is our most extreme example of a change in spectral type. The most commonly used spectral type of M0 can be traced back to Cohen & Kuhi (1979). However, the Cohen & Kuhi (1979) spectra cover 4500–6600 Å, where FM Tau looks like an M0 star because of high veiling. Hartigan et al. (1994) twice obtained FM Tau spectra from 5700–7000 Å and classified FM Tau as M0 and M2. The prominent TiO absorption bands are readily detected at >7000 Å, where the red photosphere is stronger than the accretion continuum.

FM Tau is classified here as an M4.5 ± 0.4. The large uncertainty in spectral type is caused by the high level of veiling. The measured extinction of AV = 0.35 ± 0.2 is mostly constrained by fitting to the accretion continuum rather than the photosphere. The systematic uncertainty in AV is caused by the uncertain shape of the accretion continuum. An M0 star is a reasonable approximation for the FM Tau colors, so our extinction is similar to literature values (e.g., Kenyon & Hartmann 1995; White & Ghez 2001).

4.3.5. DG Tau

DG Tau is the source of a famous and well-studied jet (e.g., Eislöffel & Mundt 1998; Bacciotti et al. 2000). Literature spectral types range from K3–M0 (Basri & Batalha 1990; Kenyon & Hartmann 1995; White & Hillenbrand 2004), including what should be a reliable spectral type of K3 from high-resolution optical spectra (White & Hillenbrand 2004). The discrepancies are caused by the high veiling. Gullbring et al. (2000) called DG Tau a continuum star, implying that no photosphere is detectable.

At low resolution, the spectrum shows the 5200 feature, which is typical of K stars, and TiO bands, which are seen only in stars with SpT K5 and later (Figure 17). The SpT is K7$^{+1}_{-1}$, with AV = 1.6 ± 0.15 mag. The extinction depends mostly on the shape of the accretion continuum and does not significantly change with a small change in SpT. The SpT is limited to earlier than or equal to M0 by the shallow depth of the TiO bands.

Figure 17.

Figure 17. Fits to extinction-corrected optical spectra of two heavily veiled stars: FM Tau and DG Tau. The black line is the observed spectrum; the red line is the photospheric template; the dashed blue line shows the flat accretion continuum; and the purple line shows the best-fit template plus accretion continuum.

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4.3.6. CW Tau

CW Tau is a heavily veiled TTS with a jet (e.g., Coffey et al. 2008). Cohen & Kuhi (1979) classify CW Tau as a K3 star, which is consistent with our measurement. Horne et al. (2012) and Brown et al. (2013) found absorption in CO v = 1–0 transitions, indicating that our line-of-sight passes through the surface layers of the circumstellar disk. The spectral analysis presented here is based on the 2008 January 18 spectrum. The three spectra obtained in 2008 December are ∼eight times fainter because of a change in extinction. This variability will be discussed further in a future paper.

Unlike DG Tau and DL Tau, the CW Tau spectrum does not show any TiO absorption, which restricts the SpT to earlier than K5. The presence of the 5200 Å bump suggests that CW Tau is later than K0. Our best fit is a K3 star with AV = 1.74. The acceptable SpT range is from K1–K4 with corresponding AV of 1.9 and 1.6, respectively. As with other heavily veiled stars, the methodological uncertainty in AV is smaller than would be expected for this range in SpT because of high veiling. However, the systematic uncertainty in extinction may be higher because the extinction relies on the assumption that the accretion continuum is flat.

The observed spectrum is weaker than the model spectrum at >8000 Å, a difference which is also detected in some other accreting stars. The weaker flux indicates a smaller veiling, which could be attributed to the Paschen jump.

4.3.7. DP Tau

DP Tau is a 15 AU binary system (Kraus et al. 2011) that appears as a heavily veiled star. The spectral type assigned here of M0.8 is based on the depth of the TiO bands for accretion continuum veilings of r7510 = 0.36, 0.38, and 0.40 for our three spectra. The uncertainty in spectral type is ∼0.5 subclasses and is dominated by the uncertainty in the accretion continuum. The extinction of AV = 0.78 mag is calculated by comparing the observed spectrum to a combined accretion plus photospheric spectrum.

DP Tau is highlighted here as an example of a counterintuitive parameter space, like DM Tau but with higher veiling, where a later spectral type leads to a higher extinction. This behavior for heavily veiled stars is the opposite of expectations for stars without accretion. For DP Tau, if the accretion continuum is increased so that r7510 = 0.55, then the increased depth of the TiO features leads to a SpT of M1.9. However, the combined spectrum of accretion plus photospheric template is bluer than the M0.8+accretion spectrum, so the AV = 0.98 mag. Similarly, a low veiling of r7510 = 0.28 leads to M0.6 and AV = 0.56 mag. These fits are the limiting cases for reasonable fits to the observed spectrum. The extinction measurements are similar because they are based largely on the shape of the blue accretion continuum, which is assumed to be flat.

4.4. Comparison of Spectral Types to Previous Measurements

In this subsection, we compare our spectral types to selected literature measurements. Our internal precision in SpT is ∼0.2 subclasses for M dwarfs and 0.5–1 subclass for earlier spectral types, based on the repeatability of SpT from independent multiple observations of the same stars. In general, the spectral types agree with literature values to ∼0.5 subclasses, as demonstrated in our comparison of spectral types of stars the MBM 12 Association with Luhman (2001). However, significant discrepancies exist for members of the TWA and for some well known members of Taurus. The K5–M0.5 range in SpT may also have systematic offsets of 0.5–1 subclass in SpT relative to other studies.

4.4.1. Comparison to Luhman Spectral Types

The spectral type sequence described here is based largely on that established by Luhman. Table 8 compares 29 stars with spectral types and extinctions measured here, in a survey of the MBM 12 Association by Luhman (2001), and in a survey of Spitzer IRAC/X-ray excess sources by Luhman et al. (2009).

Table 8. Comparison to Luhman Spectral Types

Star This Work Luhman
SpT AV SpT AV
MBM 1 K5.5 0.08 K6 0.39
MBM 2 M0.3 1.64 M0 1.17
MBM 3 M2.8 0.54 M3 0.0
MBM 4 K5.5 (−0.24) K5 0.85
MBM 5 K2 0.88 K3.5 1.95
MBM 6 M3.8 0.50 M4.5 0.0
MBM 7 M5.6 (−0.08) M5.75 0.0
MBM 8 M5.9 0.28 M5.5 0.0
MBM 9 M5.6 0.10 M5.75 0.0
MBM 10 M3.4 0.60 M3.25 0.18
MBM 11 M5.8 (−0.08) M5.5 0.0
MBM 12 M2.6 0.24 M3 1.77
FU Tau M6.5 1.20 M7.25 1.99
V409 Tau M0.6 1.02 M1.5 4.6
XEST 17-059 M5.2 1.02 M5.75 0.0
XEST 20-066 M5.2 (−0.14) M5.25 0.0
XEST 16-045 M4.5 (−0.06) M4.5 0.0
XEST 11-078 M0.7 1.54 M1 0.99
XEST 26-062 M4.0 0.84 M4 1.88
XEST 09-042 K7 1.04 M0 0.39
XEST 20-071 M3.1 3.02 M3.25 2.77
2M 0441+2302 M4.3 (−0.15) M4.5 0.39
2M 0415+2818 M4.0 1.80 M3.75 1.99
2M 0415+2746 M5.2 0.58 M5.5 0.0
2M 0415+2909 M0.6 2.78 M1.25 1.99
2M 0455+3019 M4.7 0.70 M4.75 0.0
2M 0455+3028 M5.0 0.18 M4.75 0.0
2M 0436+2351 M5.1 −0.18 M5.25 0.34
2M 0439+2601 M4.9 2.66 M4.75 0.63

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The median absolute difference between our and Luhman M-dwarf spectral types is 0.25 subclasses. The standard deviation is 0.37 subclasses. Six objects (20% of the sample) differ by more than 0.5 subclasses. Three of those six objects have spectral types in the K7–M1 range, as expected given the possible differences in our SpT scales (see Section 3.1).

4.4.2. Taurus Spectral Types

Many of the most famous objects in Taurus have spectral types that date back to Cohen & Kuhi (1979), as listed in the compilations of Herbig & Bell (1988) and Kenyon & Hartmann (1995). The Cohen & Kuhi (1979) spectral coverage was optimal for early spectral types but insufficient for M stars. Table 9 lists the most significant changes in Taurus spectral types, relative to the compilation of spectral types by Luhman et al. (2010). Our new spectral types are often two to three subclasses later than those from Cohen & Kuhi (1979), particularly when veiling affected the spectral typing at short wavelengths. In cases of overlap with D'Orazi et al. (2011), our spectral types are consistent to within 0.5 subclasses of the measured effective temperature.

Table 9. Discrepancies in Taurus Spectral Types

Star This Work Literaturea
CIDA 9 M1.8 K8
DM Tau M3.0 M1
DS Tau M0.4 K5
FM Tau M4.5 M0
FN Tau M3.5 M5
FP Tau M2.6 M4
FS Tau M2.4 M0
GM Tau M5.0 M6.4
GO Tau M2.3 M0
IRAS 04216+2603 M2.8 M0.5
IRAS 04187+1927 M2.4 M0
IS Tau M2.0 M0
LkCa 4 M1.3 K7
LkCa 3 M2.4 M1
RY Tau G0 K1b
LkHa 332 G1 M2.5 M1
LkHa 358 M0.9 K8

Notes. aLiterature SpT as adopted by Luhman et al. (2010). bOther recent works have measured early G.

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Several Taurus stars with spectral types earlier than K0 are challenging for spectral type measurements because accretion produces emission in the same lines (e.g., Ca ii infrared triplet, H Balmer lines) that are used for spectral typing. For example, Hα appears in emission from V892 Tau and RY Tau despite early spectral types. While RY Tau has had numerous spectral types between F7–G1 (Mora et al. 2001; Calvet et al. 2004; Hernandez et al. 2004), the Cohen & Kuhi (1979) spectral type of K1 has been adopted in several recent computations. Our spectral type of G0 for RY Tau agrees with other recent spectral types.

4.4.3. TWA Association Spectral Types

Our spectral types for the TWA are uniformly later than the spectral types obtained from Webb et al. (1999; see Table 10). Our spectral types for TWA 8A, TWA 8B, TWA 9A, and TWA 9B are consistent with those obtained from high-resolution spectra by White & Hillenbrand (2004). Our spectral types are also mostly consistent with the recent spectral types measured from X-Shooter spectra by Stelzer et al. (2013), with the exception of TWA 14 (M1.9 here versus M0.5 in Stelzer et al.). The outdated spectral types from Webb et al. (1999) have led to some confusion regarding membership. Weinberger et al. (2013) discuss that space motions may suggest that TWA 9A and 9B are not members of the TWA, which they support with ages of 63 and 150 Myr, respectively. The later SpT measured here lead to younger age estimates that are consistent with the ∼10 Myr age of the TWA.

Table 10. New TWA Spectral Types

Stara This Work Webb et al. 1999
TWA 1 M0.5 K7
TWA 2AB M2.2 M0.5(+M2)
TWA 3A M4.1 M3
TWA 3B M4.0 M3.5
TWA 4AabBab K6 K5
TWA 5AB M2.7 M1.5(+M8.5)
TWA 6 M0.0 K7
TWA 7 M3.2 M1
TWA 8A M2.9 M2
TWA 8B M5.2 M5
TWA 9A K6 K5
TWA 9B M3.5 M1

Note. aUnresolved binaries listed as single combined SpT TWA 2 and TWA 5 unresolved here and in Webb et al.

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In some cases, the age of a star as measured from an H-R diagram may differ from the dynamical or global age of a cluster. For example, with their later spectral type, Vacca & Sandell (2011) argue that the age of TW Hya is ∼3 Myr. Our age is now consistent with the global age of the TWA. However, even if the estimated age of a single star were younger, the dynamical age and cluster age are both consistent with 7–10 Myr (e.g., Mamajek 2005; Ducourant et al. 2014). Any deviations from this age for confirmed members are likely due to real scatter in observed photospheric luminosities and temperatures rather than the actual age of the star. These uncertainties are discussed in more detail in Section 5.

4.5. Comparison of Extinctions to Previous Measurements

In this subsection, we compare our extinctions to literature extinctions. Our uncertainties are repeatable to ∼0.1 mag, when multiple spectra of the same star are analyzed assuming a constant spectral type. Including uncertainty from spectral type and gravity, our extinctions should be reliable to ∼0.2–0.3 mag Literature uncertainties are commonly claimed to be ∼0.2–1.0 mag, although statistical errors on the lower end of this range are based on photometric accuracy and are typically not realistic. The primary sources of extinction errors are caused by uncertainty in spectral type, gravity mismatches between the target star and a template for M dwarfs, and the estimates for the shape and strength of the accretion continuum.

Figure 18 shows the comparison of our extinctions with those from several different literature sources. In general, our extinctions agree with literature estimates from optical extinction estimates, but discrepancies with near-IR extinction estimates are large and systematic.

Figure 18.

Figure 18. Comparison of extinctions between this work and selected works in the literature. Our extinctions are typically consistent with other optical extinction measurements (top left and right) but are systematically lower than near-IR extinction measurements based on photospheric colors (bottom left). Comparisons with extinctions from H line flux ratios (bottom right) shows systematic problems for heavily veiled stars, but this new method may provide extinctions independent of photospheric colors.

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Gullbring et al. (1998, 2000) used optical photometry to measure extinctions. The mean difference between our measurements and Gullbring et al. is 0.04 mag, with a standard deviation of 0.37 mag. Kenyon & Hartmann (1995) typically use VR and VI colors to measure extinctions for the bright stars that dominate overlap between our and their sample, with a difference of 0.1 mag and a standard deviation of 0.7 mag when compared to our results. Given the uncertainties in their and our results, our extinctions are typically consistent with those of Gullbring and KH95. The mean difference and scatter of our extinctions relative to Luhman extinctions are 0.10 and 0.93 mag., respectively.

On the other hand, near-IR analyses yield significantly higher extinctions than those measured at optical wavelengths. The large Furlan et al. (2011) survey of Spitzer IRS spectra included updated extinctions based on fitting photospheric and disk emission to JHK photometry and, in some cases, near-IR spectroscopy. Their extinctions are typically 1.1 mag larger than the AV measured here, with 1.2 mag of scatter after accounting for that bulk shift. Among the sources common to both studies, 5% of extinctions are different by >3 mag, with large discrepancies especially common for strong accretors. These differences are likely caused by the large near-IR excess associated with gas and dust in the inner disk, which can also be characterized by veiling (e.g., Meyer et al. 1997; Folha & Emerson 1999). Indeed, the J–H extinctions from the White & Hillenbrand (2004) sample of evolutionarily young stars, which did not account for veiling, are an average of 3.6 mag larger than those measured here. Large differences between optical and near-IR extinctions were also noted by McJunkin et al. (2014).

Fischer et al. (2011) and McClure et al. (2013) developed a more robust and more painful approach to measure extinctions from flux calibrated near-IR photospheric spectra, after measuring and subtracting the veiling. The veiling in the near-IR is caused by a combination of accretion and warm disk emission. In both studies, the veiling is measured and subtracted off the observed spectrum. Extinction is then measured by comparing the remaining photospheric spectrum to a standard star. However, our extinctions are 1.3 mag lower than those of Fischer et al. (2011), with a scatter of 1.1 mag, possibly because of differences in WTTSs templates.9 McClure et al. (2013) obtain results closer to ours, with a bulk offset of 0.7 mag and a scatter of 0.7 mag. Our extinctions are actually larger than the near-IR extinctions of McClure et al. (2013) in three of the nine stars in their sample. These differences may be related to uncertainties in the near-IR colors of CTTSs and WTTSs, and the lower sensitivity of near-IR spectra to extinction.

Extinctions calculated from line flux ratios could in principle lead to more accurate measurements than photospheric-based extinctions, if the lines are optically thin or other easily modeled and have significantly different wavelengths. Edwards et al. (2013) developed near-IR H Paschen and Brackett line fluxes as an extinction diagnostic. The H line emission is usually dominated by the accretion flow and should usually have the same line of sight as the stellar photosphere. Our extinctions are 0.27 mag smaller than theirs with a standard deviation of 1.1 mag. However, the agreement improves (0.6 mag) when restricted to the four stars in both studies that do not have high veiling and powerful outflows. The heavily veiled outflow sources have larger extinction uncertainties in this work and may have H line emission with significant outflow contributions.

While we consider optical extinctions more reliable than those in the near-IR, they are inappropriate to use when optical emission from a star is seen primarily scattered light. This criteria applies especially to stars with disks viewed edge-on or stars with remnant envelopes. Some systems like Sz 102 or HL Tau have very low AV measurements but are much fainter than would be expected for a Taurus TTS with their SpT. In these cases, the extinction estimates likely require full spectral energy distribution (SED) modeling and in any case may not be relevant for interpreting the observed optical or near-IR emission from the star.

The extinction calculations presented here are more accurate than previous measurements for stars in our sample earlier than M5. When veiling is negligible, photometry combined with a reliable spectral type and a template with similar gravity (Pecaut & Mamajek 2013) may yield a more reliable extinction than flux calibrated spectra. Red or near-IR colors may be preferable to measure extinction to TTSs later than M5 because the optical emission is on the Wien tail of the blackbody distribution and changes quickly as a function of temperature.

5. OBSERVATIONAL UNCERTAINTIES IN STELLAR PROPERTIES AND CLUSTER LUMINOSITY SPREADS

Improvements in spectral types and extinctions lead to a more accurate placement on H-R diagrams. Whenever young stellar clusters have been placed on H-R diagrams, a large luminosity spread is measured at a given spectral type (see reviews by Hillenbrand et al. 2008; Preibisch 2012). The observational contribution to luminosity spreads is typically estimated by creating a synthetic cluster of stars with temperatures and luminosities scattered by an amount consistent with the estimated uncertainties. In many cases, the entire spread of luminosities may be explained by observational errors (Hartmann et al. 1998; Slesnick et al. 2006; Preibisch 2012). On the other hand, Reggiani (2011) found that the luminosity spread in HST optical photometry of the Orion Nebular Cluster could not be replicated with purely observational errors. The observational uncertainties in stellar properties, and the uncertainties in the uncertainties, limit our ability to test pre-main-sequence evolutionary tracks, the effect of accretion histories, and the timescale over which star formation occurs within a cluster.

In this section, we describe how the observational uncertainties in spectral type, extinction, and veiling measured in this paper relate to luminosity spreads. Listed uncertainties refer to ∼1σ error bars, although these measurements are not always rigorous. This description does not include some of the most important uncertainties: multiplicity, partial disk obscuration of the star, cluster membership (see Section 6.2 for a discussion), and stellar spots. In Section 5.5, we present results of improved stellar parameters on the H-R diagrams for the TWA and MBM 12.

5.1. Direct Luminosity Uncertainties from Distance, Flux Calibration, and Extinction

The approximate uncertainty in distance is ∼10% to any given star in the Taurus Molecular Cloud, which leads directly to a 20% uncertainty in luminosity. The depth of the Taurus cloud in our line of sight is likely large compared with the median distance, so the percentage of uncertainty in distance is large. Many of the TWA objects have parallax distances with <5% uncertainties. On the other hand, large systematic uncertainties plague the absolute, but not the relative, photometric distance to the MBM12 Association.

The absolute flux calibration, here ∼10%, leads directly to the same 10% uncertainty in luminosity. The relative flux calibration also leads to an uncertainty in the extinction, in this work about 0.1 mag. in AV.

Typical extinction uncertainties in AV are ∼0.2 mag (or ∼0.4 mag when veiling is significant), which here leads to a 13% (28%) luminosity uncertainty from the 7510 Å photospheric flux.

5.2. Methodological Uncertainties

These uncertainties are introduced in our approach to fitting spectral type, accretion continuum flux, and extinction simultaneously in each spectrum from a grid of standard WTTSs. The variables are correlated, so changing the spectral type or accretion continuum flux also lead to changes in the extinction.

5.2.1. Veiling and Stellar Luminosity

Veiling of the photospheric emission by the accretion continuum and any disk emission increases the observed flux. If the accretion continuum flux is not subtracted, then the measured flux will overestimate the photospheric flux. In this work, the photospheric luminosity is always corrected for veiling and as a result are usually lower than previous estimates. Uncertainties of ∼20% in the strength of the accretion continuum typically lead to ∼5% uncertainties in the final luminosity, with larger uncertainties for higher veiling. This error can be assessed for each target by comparing the veiling to the 7510 Å photospheric flux (see Appendix C and Table 14). Failure to subtract the accretion continuum off from the measured flux will lead to systematically overestimating the stellar luminosity in a way that correlates with veiling and accretion.

5.2.2. Spectral Type and Luminosity

We assess internal SpT uncertainties of 0.2 subclasses for M dwarfs, 0.5 subclasses between K8–M0.5, and 1 subclass for stars between G0 and K8. The spectral types are repeatable to those levels of precision for stars with multiple spectra. These spectral types are optimized with a quantified inclusion of both the accretion continuum flux and reddening and should have smaller uncertainties than spectral types obtained by eyeball comparisons of spectra to a grid of standard spectra. The uncertainty for M-dwarfs relative to literature estimates is ∼0.5 subclasses.

Veiling affects spectral type measurements. Our largest change in spectral type is 4.4 subclasses (for FM Tau), though errors larger than two subclasses would be surprising for the type of red spectra that have been obtained in most studies over the past decade. However, differences of one to two subclasses for veiled spectra can be subtle, as demonstrated for UScoCTIO 33 and DM Tau above.

For an error in spectral type, the bolometric correction and therefore the estimated luminosity of the star does not change significantly, unless the photospheric flux is measured in the Wien tail for the relevant temperature. However, the stellar luminosity at a given age is sensitive to the effective temperature. The comparison between the expected and estimated luminosity thereby introduces a luminosity spread. Figure 19 shows that 3500 K stars with temperatures overestimated by 300 K and 75 K (∼1.5 and 0.2 SpT, respectively) would appear underluminous by a factor of ∼2.8 and ∼1.3, respectively. This uncertainty may lead to veiled stars, such as UScoCTIO 33, systematically appearing underluminous and old if veiling is not accounted for in the SpT. Some of this underluminosity may be balanced if veiling is also mistakenly unaccounted when converting a band flux to the luminosity.

Figure 19.

Figure 19. Effect of spectral type and temperature uncertainty on luminosity spread. Stars that have effective temperatures overestimated (or underestimated) will appear underluminous (or overluminous) in an H-R diagram because (a) the expected luminosity at that higher temperature is higher than the expected luminosity at the real temperature, and (b) the bolometric correction is smaller at higher temperatures. The combined curves (solid lines) show the ratio of the measured luminosity and the expected luminosity for a 3.2 Myr old star with temperature overestimated by 75 K or ∼0.5 subclasses (red) and 300 K or ∼2 subclasses (blue), based on the Baraffe et al. (2003) pre-main-sequence tracks. The individual components (a, dotted lines) and (b, dashed lines) are shown for the 300 K error.

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5.2.3. Spectral Type and Extinction

An error in the spectral type introduces a mismatch between the template and object spectra, thereby causing an error in the extinction. Figure 20 shows the uncertainty in AV introduced by the average spectral typing error. In optical spectra or photometry, the uncertainty in spectral type dominates extinction uncertainties beyond ∼M5 because the spectral slope changes sharply in the Wien tail. In terms of the luminosity spread, some of the uncertainty introduced by a spectral type error may be partially balanced by the extinction error, which pushes the expected luminosity in the other direction (e.g., da Rio et al. 2010).

Figure 20.

Figure 20. Approximate uncertainty in AV introduced by spectral type uncertainty (solid line) and errors in the relative flux calibration (dotted line). The spectral type uncertainty used here is 1 subclass at spectral types earlier than K7, 0.5 subclasses between K7–M1, and 0.3 subclasses for stars later than M1. An incorrect spectral type will lead to an incorrect extinction because the comparison template has a different photospheric temperature and spectral shape.

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5.2.4. M Star Gravity Mismatches and Extinction

The gravity of the spectral template can also introduce significant errors, even when non-accreting TTSs are used as photospheric templates. Low mass stars with ages of 1–10 Myr have log g ∼ 3.4–4.2, depending on the age and mass (see Figure 1). The gravity difference between log g ∼ 3.4–4.2 (1–10 Myr for 0.7 M star) leads to maximum errors of AV = 1.1 mag in Fred = F(8330)/F(6448) for M stars (Figure 21).

Figure 21.

Figure 21. Color dependence, here as Fred = F(8330)/F(6348), for stars with gravity for 1, 10, and 100 Myr old stars. The different colors change the SpT-effective temperature relation (e.g., Forestini 1994) and extinction estimates—even when comparing 1 Myr and 10 Myr old stars. The gravities are obtained from the PMS tracks of Baraffe et al. (1998), and the colors are calculated from the BT-Settl synthetic spectra (Allard et al. 2012).

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5.3. Assumed Standard Relations

The uncertainties in extinction law and the shape of the accretion continuum are errors that apply systemically to stellar temperature and luminosity measurements. We briefly describe the effects of errors in these assumptions.

5.3.1. Extinction Law

The extinction law is assumed to be that of median interstellar grains, with a total-to-selective extinction of RV = 3.1. Most spectra in our sample can be well fit with RV = 3.1 and have AV < 3 mag, where the mean interstellar extinction law should apply. The differences in the relative flux attenuation between extinction laws is particularly significant at <5000 Å. Grain growth in high extinction regions makes the extinction curve much more gray, with RV as high as 5.5 (Indebetouw et al. 2005). The few stars in our sample that are heavily extincted (AV > 5) are only well fit with RV ⩾ 4.

In our optical spectra, for a star with a measured AV = 1.0 mag, applying extinction laws with RV = 5 from Cardelli et al. (1989) or RV = 5.1 from Weingartner & Draine (2001) would lead to AV = 1.2 and 1.15 mag, respectively. The difference in luminosity is minimal for low extinctions. However, an extinction AV = 10 mag and RV = 5 will be measured (in red-optical spectra or colors) as AV = 8.3 mag if RV = 3.1 is assumed, yielding a factor of 5.6 difference in luminosity if assessed at 7510 Å.

5.3.2. Uncertain Shape of Accretion Continuum

Our analysis relies on an assumption that the accretion continuum flux is constant in erg cm−2 s−1 Å−1 versus wavelength. While this assumption is reasonable, it may not apply to some sources (see Figure 10). A negative slope (stronger emission at 4000 Å than 8000 Å) would lead to the inference of an earlier spectral types because the veiling would be weaker, so the photospheric TiO features would not be as deep. For sources with moderate or strong veiling, the extinction would be underestimated in our paper.

DM Tau is used here as an example of the effect of the shape of the veiling continuum for a moderately veiled star. If the accretion continuum is two times weaker at 8000 Å than at 4000 Å, then the best-fit model is M2.7 with AV = −0.02 mag. If instead the accretion continuum is two times stronger at 8000 Å than at 4000 Å, then the best-fit model is M3.6 and AV = 0.2 mag. The different spectral types are caused by different TiO absorption depths. The extinction does not change significantly because the color change in the accretion continuum is offset by a color change in spectral type.

Table 11 describes a similar analysis for a few stars with a range of veilings. The synthetic spectra with an accretion continuum that get brighter to longer wavelengths are typically bad fits to the observed spectra. For heavily veiled stars, the change in extinction could be as large as AV = 0.9 mag. Spectral types of heavily veiled stars around K7 are especially dependent on the shape of the veiling continuum. The real uncertainty in SpT and AV are likely smaller than the differences described in this paragraph because the accretion continuum is likely much closer to a flat spectrum at optical wavelengths.

Table 11. SpT, AV, and the Accretion Continuum Slope

Stara Red Slope Flat Slopeb Blue Slope
SpT AV SpT AV SpT AV
UScoCTIO 33 M4.6 0.06 M4.4 0.38 M4.3 0.52
DF Tau M3.4 0.20 M2.7 0.18 M2.5 0.18
DM Tau M3.4 0.12 M3.0 0.08 M2.8 0.08
DP Tau M1.7 0.60 M1.0 0.68 M0.3 0.90
DR Tau (K6) 0.56 (K6) 0.50 (K6) 0.46
GM Aur K8.5 0.14 K6.5 0.36 K6.5 0.40
TW Hya M1.1 0.0 M0.9 0.08 M0.7 0.12
ZZ Taud M4.4 0.54 M4.4 0.56 M4.3 0.58

Notes. F(2λ) = 2F(λ) and 0.5F(λ) for red and blue slopes. aAll observations except UScoCTIO 33 from 2008 December 29. bResults may differ slightly from best fits using all dates. cHigh veiling, so K6 SpT assumed for DR Tau. dExample of little change because of weak veiling.

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5.3.3. Conversion from Spectral Type to Temperature

The temperature scale for pre-main-sequence likely has an uncertainty of ∼50 K for early M dwarfs and ∼100 K for late M dwarfs based on the comparisons between different temperature scales described in Section 3.2. In addition to these uncertainties, the models themselves have some uncertainty. Any error in the temperature scale will apply systematically throughout the entire sample and does not introduce a luminosity spread for stars with similar spectral types. The conversion from spectral type to temperature applied here is measured from our spectral type scale.

5.3.4. Bolometric Corrections

Our bolometric corrections are calculated from the BT-Settl model spectra (Allard et al. 2012). The mismatch between models and real spectra may introduce small systematic errors into our luminosity calculations. As with the conversion from spectral type to temperature, this error should not introduce a significant luminosity spread for stars with similar spectral types.

5.4. Stellar Properties of Heavily Veiled Stars

Some stars are so heavily veiled that the veil is similar to a burqa, almost completely hiding the photosphere. These stars pose particularly difficult problems for H-R diagrams. In this section, we highlight two problems that may preferentially affect measuring photospheric emission.

5.4.1. Photospheric Emission of Heavily Veiled Stars

The age of a pre-main-sequence star is calculated from the contraction timescale and the effective temperature. In most comparisons between data and model spectra, the photospheric luminosity is used as a proxy for the radius. This surface area does not include the fraction of the star covered by the spot. In the shock models of Gullbring et al. (1998), corrections are less than ∼20% and are not significant. However, the shock models of Ingleby et al. (2013) include components at lower density than Gullbring et al. in order to explain veiling at red wavelengths, in excess of previous models. In three cases—RW Aur A, DR Tau, and CV Cha—the accretion shock covers 20%–40% of the stellar surface. In extreme cases, especially for outbursts or Class I objects, some estimate of this covering fraction would need to be combined with the photospheric surface area to calculate a stellar radius. This uncertainty is ignored in this work.

5.4.2. TiO in Emission and Spectral Types

Hillenbrand et al. (2012) found TiO in emission from two Class I sources and one CTTS undergoing an outburst (see also Covey et al. 2011). In our sample, VV CrA and the 2008 January GV Tau10 spectrum show TiO in emission (Figure 22). Emission lines blanket the optical spectra of VV CrA, GV Tau, and three objects described by Hillenbrand et al. (2012). All objects with TiO emission have evidence from their SEDs that an envelope is present.

Figure 22.

Figure 22. TiO emission from extinction corrected spectra of VV CrA (left) and GV Tau AB (right). TiO emission is detected at the same location as TiO absorption in the M0 star Sz 111 (left, red line) and M1 star TWA 13S (black line in inset panel). For GV Tau, only the 2008 January observation clearly shows TiO in emission. The blue emission lines are also stronger in the 2008 January observation than in 2008 December.

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The TiO emission must be related in some way to strong accretion. The warm TiO gas is likely located in a warm disk surface, which may be viscously heated by the accretion flow. TiO emission has only been detected in clear cases. Presumably other CTTSs have weak TiO emission that would require a dedicated search to detect. The possible complications of TiO emission filling in absorption bands has not been considered here or in other work but would severely complicate spectral typing. Most likely, these complications arise for only Class I stars.

5.5. Luminosity Spreads of Loose Associations

Young stars start to grow out of adolescence when the velocity dispersion of their parent cluster leads them to venture far from their birthplace. At this stage, they are in loose associations with their siblings and are typically free of extinction. In this subsection, we apply the previous description of luminosity spreads to stars in two nearby associations, the TWA and the MBM 12 Association. Both associations are relatively small, with 10–30 known members. The luminosity spread of Taurus is not discussed here because our sample is incomplete and biased and because Taurus includes many subclusters with large age differences.

5.5.1. Luminosity Spread of the TW Hya Association

The nearby TWA is a loose association of ∼30 stars with an age of ∼10 Myr (Webb et al. 1999). The members are especially meaningful for age estimates because of proximity, prevalence of parallax measurements, negligible extinction, and near-complete accounting of binarity.

Since the association is not near any molecular cloud, extinction is assumed to be zero for most members. Two stars, TWA 30A and 30B, have disks that are nearly edge-on and may attenuate photospheric emission (Looper et al. 2010a, 2010b) and are therefore ignored in this analysis. Although Ducourant et al. (2014) calculate and apply extinction corrections to several TWA members, the color corrections may be introduced by small errors in spectral type and at present are not accurate enough to use anything other than AV = 0 mag for members of this association.

Figure 23 shows the H-R diagram and luminosity spread of the TWA. Table 12 lists the stellar parameters of TWA members, including an age from the Baraffe et al. (2003) pre-main-sequence evolutionary tracks and a ratio L/L10 of the measured luminosity to L10, the 10 Myr luminosity for the relevant temperature. Most of the luminosities are calculated from our optical spectra. The luminosities of several close binaries are obtained from HST narrowband imaging at 1.64 μm Weintraub et al. (2000), while others are obtained from the J-band magnitude measured in 2MASS. All total fluxes are calculated using bolometric corrections calculated from the BT-Settl spectra. The binary systems TWA 3Aab, TWA 5Aab, TWA 16AB, TWA 23 AB, and TWA 32AB are roughly equal mass (Muzerolle et al. 2000; Zuckerman et al. 2001; Shkolnik et al. 2011; Weinberger et al. 2013), so the luminosities used for this analysis are divided by 2. For HD 98800 Aa, Ba, and Bb, we used the temperatures calculated by Laskar et al. (2009). The luminosities of HD 98800 Bab are calculated from the absolute K-band magnitudes of Boden et al. (2005), adjusted for distance. The luminosity of HD 98800 Aa is calculated from the K-band flux in Prato et al. (2001).

Figure 23.

Figure 23. H-R diagram of known members of the TW Hya Association later than K0 (left) and in the MBM 12 Association (right). For the TWA, red circles are stars with spectral types measured here and parallax distance measurements; blue diamonds are stars with spectral types measured here and dynamical distance measurements; green squares are literature spectral types and parallax distance measurements; and purple triangles are literature spectral types with dynamical distance measurements. For the MBM 12 Association, the members shown here are single stars (red circles), estimates of the primary properties for binaries (solid squares, empty squares mark the initial position), and stars without known binary properties (green diamonds). Isochrones in both plots are shown at 0.5 dex intervals (as labeled in log  Age in yr) from the Baraffe et al. (2003) pre-main-sequence tracks.

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Table 12. Stellar Ages in the TWAa

Star d SpT log L/L log  Age L/L10
(pc)
SpT and Flux from this work
TW Hya 54 M0.5 −0.72 7.21 0.70
TWA 2A 42 ∼M1.7b −0.69c 6.79 1.39
TWA 2B 42 ∼M3.5b −1.22c 6.86 1.31
TWA 3Aab (35) M4.1 −1.22 6.57 2.83
TWA 3B (35) M4.0 −1.10 6.49 3.34
TWA 5Aab 49 M2.7 −1.05 6.80 1.36
TWA 6 (67) M0 −0.65 7.25 0.67
TWA 7 34 M3.2 −0.94 6.64 1.80
TWA 8A 43 M2.9 −0.95 6.80 1.36
TWA 8B 39 M5.2 −1.66 6.55 2.76
TWA 9A 47 K6 −0.83 7.71 0.30
TWA 9B 52 M3.4 −1.38 7.11 0.81
TWA 13N 56 M1.1 −0.71 7.02 0.97
TWA 13S 59 M1.0 −0.66 6.98 1.03
HR 4796A 73 A0 1.20 ... ...
TWA 14 96 M1.9 −0.58 6.61 1.96
TWA 23 AB 49 M3.5 −1.21 6.84 1.37
TWA 25 54 M0.5 −0.65 7.12 0.83
TWA 27 52 M8.25 −2.68 7.18 0.73
TWA 28 55 M8.5 −2.65 7.09 0.84
SpT and Flux from literature
TWA 5B (49) M9 −2.83b 7.15 0.76
TWA 10 62 M2 −0.87 6.97 1.06
TWA 11B (67) M2.5 −0.82a 6.75 1.51
TWA 11C 69 M4.5 −1.10a 6.28 5.99
TWA 12 64 M1.6 −0.78a 6.96 1.07
TWA 15A 110c M1.5 −0.93a 7.21 0.71
TWA 15B 117c M2.2 −0.87a 6.90 1.18
TWA 16AB 78 M1.8 −0.91a 7.09 0.87
TWA 20 77 M2.0 −0.76 6.82a 1.35
TWA 21 51 K3.5 −0.42 7.48a 0.42
TWA 26 38 M9.0 −2.85 7.22 0.74
TWA 29 79 M9.5 −2.95 7.27 0.70
TWA 30A (56) M5 Edge-on disk  
TWA 30B (56) M4 Edge-on disk  
TWA 32 AB (77) M6.3 −1.70 <6 3.88
TWA 33  (52.6) M4.7 −1.42 6.48 3.56
TWA 34 (50) M4.9 −1.86 6.77 1.59
HD 98800 Aa 45 4535 −0.21 7.28 0.60
HD 98800 Ba 45 4200 −0.54 7.40 0.51
HD 98800 Bb 45 3500 −0.98 6.91 1.16

Notes. Restricted to TWA members with distances Parallaxes from Weinberger et al. (2013), Malo et al. (2013), Teixeira et al. (2008), Gizis et al. (2007), Biller & Close (2007), van Leeuwen (2007), and Ducourant et al. (2014). Dynamical distances in "()" (Mamajek 2005). Literature SpT from Konopacky et al. (2007), Webb et al. (1999), Kastner et al. (2008), Shkolnik et al. (2011), Gizis (2002), Zuckerman et al. (2001), Zuckerman & Song (2004), Looper et al. (2010a, 2010b), Bonnefoy et al. (2009), Schneider et al. (2012), and Allers & Liu (2013). aL from J-band magnitude (Skrutskie et al. 2006). bL from H-band magnitude (Weintraub et al. 2000). cLarge distance may indicate non-membership.

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The combined TWA 2AB spectrum is classified here as an M2.2 object. The color difference suggests a 1.5–2 subclass difference between the pair. To determine the spectral type of the primary, we added scaled template spectra together and subsequently calculated a new spectral type and extinction. As the secondary-to-primary mass ratio decreases, the secondary reduces the inferred temperature of the total system, thereby also decreasing the expected luminosity. With complete optical wavelength coverage, the resulting spectral type is typically 0.5 subclasses later than the primary SpT and the extinction is within 0.1 mag. TWA 2A is assigned a spectral type of M1.7 and used in the analysis below. TWA 2B is tentatively assigned a spectral type of M3.5 and is not used in the analysis.

Between K5–M3.5, the average scatter in luminosity is 0.39 dex relative to a 9 Myr isochrone. This scatter is dominated by TWA 9A and 9B and TWA 14 (see Table 12). Weinberger et al. (2013) suggest that TWA 9A and 9B are too old to be TWA cluster members. Ducourant et al. (2014) also note that the kinematic distance for TWA 9A is highly discrepant with the parallax distance. However, Malo et al. (2013) assign a dynamical membership probability of 99%. Hα emission, Li absorption strength, and gravity indicators show that both stars are young. Our ages of TWA 9A and 9B are younger than the Weinberger et al. (2013) estimate because of later spectral types measured here, though the pair is still underluminous. Between M4–M7, most stars become significantly overluminous for a 10 Myr age, according to these isochrones. Some of this overluminosity could be reduced if the objects are hotter than the SpT-effective temperature conversion (Section 3.2). The brown dwarfs at ∼M8 are near the predicted H-R diagram location for the 10 Myr isochrone.

A more empirical approach suggests that the slope of luminosity versus temperature is much flatter between K0–M5 than the isochrone. A best fit line to the K0–M5 objects yields a luminosity spread of only 0.13 dex and is able to recover the objects down to 3000 K (compared with 3300 K for the 10 Myr isochrone). Only one object, TWA 9B, is severely underluminous relative to the line. Such a fit would suggest that the contraction timescale for very low mass stars is longer than predicted, relative to the contraction timescales of solar mass stars and brown dwarfs. Empirical isochrones crossing theoretical isochrones in this manner is not uncommon (e.g., Hillenbrand et al. 2008).

Of the resolved stars in multiple systems, the four closest in spectral type are co-eval to within a luminosity of 20%. The exceptions, such as TWA 8A/8B and TWA 5Aab/5B, have large differences in spectral type, often with one in the problematic M4–M6 spectral type range. The discrepancy points to an error in either effective temperature measurements or in pre-main-sequence tracks rather than a real luminosity spread.

5.5.2. Luminosity Spread of the MBM 12 Association

The MBM 12 cloud was initially found by Magnani et al. (1985). A census of MBM 12 revealed a total of 12 stellar systems (Luhman 2001). The approximate distance of 275 pc was calculated by comparing the luminosities to other nearby star forming regions. The age (∼1–5) Myr and the distance are degenerate parameters. Seven of the 12 objects retain a disk (Meeus et al. 2009), which is consistent with a <5 Myr age.

A binary census of the eight brightest targets revealed seven multiple star systems (Chauvin et al. 2002; Brandeker et al. 2003). Based on near-IR photometry of these multiple systems, four (MBM12 1, 3, 5, and 10) are roughly equal mass stars, so their measured fluxes here are divided by two to estimate the luminosity of a single star. MBM12 12 (S018) is a triple system where the primary is a single star while the secondary is a resolved binary. Based on the near-IR colors, we divide the optical flux by a factor of 1.6 and shift the primary spectral type to M2.1 (from M2.6). Two other binaries, MBM12 4 (LkHα 264) and MBM12 2 (LkHα 262) are widely separated are not affected by possible companions.

The resulting H-R diagram (Figure 23) is roughly consistent with a ∼3 Myr age, if the 275 pc distance is accurate. As with the TWA, stars hotter than 4000 K are fainter than expected from the 3 Myr isochrone. Brown dwarfs cooler than 3000 K are brighter than the 3 Myr isochrone and may be affected by unaccounted binarity. For stars warmer than 3000 K, the luminosity spread about a best fit line is 26%. The slope of the line is 5.8 × 10−4 log L K−1, almost exactly the same as the slope of 6.6 × 10−4 log L K−1 for the TWA. The most underluminous star, MBM 2 (LkHα 262), is an accretor with an anomalously large extinction (AV = 1.75) relative to other stars in the association. Some obscuration by the central star or a gray extinction law could lead to this underluminosity.

6. DISCUSSION

6.1. The Limited Affect of Accretion Histories on Pre-main-sequence Evolution

The pre-main-sequence models of Baraffe & Chabrier (2010) demonstrate that stars contract faster if they form primarily by large accretion events with rates of >10−4M yr−1, as opposed to steady accretion throughout the protostellar lifetime. If the large accretion events are episodic and randomly distributed in strength, then this evolution predicts a significant luminosity spread in observed H-R diagrams (Baraffe et al. 2012). The evolutionary effects will remain large at 10 Myr for 0.1 M stars, with luminosity differences up to a factor of 25, but may be minimal for solar mass stars, depending on the seed mass of the star and size of episodic accretion bursts.

The stars in the TWA are roughly coeval, as are those in MBM 12. Stars in multiple star systems in the TWA also tend to be co-eval with each other. Similarly, in Taurus, two-thirds of binaries have ages consistent to 0.16 dex, with many of the outliers attributable to veiling or other observational uncertainties (Kraus & Hillenbrand 2009; see also Hartigan et al. 1994; Hartigan & Kenyon 2003; White & Ghez 2001).

If episodic accretion dominates stellar growth to an extent that the evolutionary tracks are severely altered, these results would require that the effects of episodic accretion are similar for the majority of stars. In this case, the ages of pre-main-sequence stars would be significantly and uniformly overestimated in all regions. However, the ∼7–10 Myr age of the TWA obtained from comparison to pre-main-sequence tracks is similar to the dynamical expansion age of 7.5 ± 0.7 Myr (Ducourant et al. 2014).

These comparisons suggest that large episodic accretion outbursts do not significantly alter pre-main-sequence evolution over general populations of stars with masses 0.3–0.7 M. Any affects on entire populations are minimal by ages of 5–10 Myr. However, such events may alter the evolutionary course of a minority of stars and could, in principle, explain the underluminosity of a star like TWA 9A.

6.2. Minimizing Observational Errors in H-R Diagrams

The uncertainties in effective temperature and luminosity explains at least some of the luminosity spreads measured within young clusters. In addition to the uncertainties described in Section 5, membership, binarity, and disk obscuration can severely affect measured luminosity spreads in H-R diagrams.

The choice of star forming region and observed wavelength largely determines which uncertainties are minimized and which are problematic. At present, the spectroscopic and direct imaging binary census in Taurus is relatively complete, at least for the well known solar mass members (White & Ghez 2001; Kraus & Hillenbrand 2009; Nguyen et al. 2012). In ideal cases where the two stars are diskless and have the same extinction, an accounting of multiplicity to 0.2 times the mass of the primary star yields a ∼0.1 dex error in age. Binarity is a much more severe problem for more distant regions and likely requires the use of population synthesis models to interpret luminosity spreads. Use of near-IR colors to calculate mitigates the effect of extinction uncertainties; however, systematic extinction offsets may be prevalent. The relative distance uncertainty in nearby regions is currently much larger than that for more distant regions.

The near-IR has some advantages over optical spectra. Veiling corrections are less important for red or near-IR flux measurements of late M dwarfs. The emission produced by accretion and warm dust reaches a minimum between 1–1.5 μm, while the photospheric flux from late M dwarfs peak at those same wavelengths. For these late M dwarfs, red or near-IR colors should be used for extinction estimates because they are relatively constant with spectral type (e.g., Leggett 1992) and usually include negligible contribution from veiling. However, extinction estimates are less sensitive and less reliable when measured from near-IR observations.

Probing ages of young (<5 Myr) clusters requires an assessment of the effects of disk parameters on the measured stellar properties. Partial disk obscuration of the star significantly decreases measured luminosities and is particularly difficult to account for. Within our biased sample, ∼10% of accreting objects are significantly underluminous relative to the expected luminosity of a pre-main-sequence star. Some of these faint objects have disks viewed edge-on, which blocks the light from the star. In cases such as AA Tau (Bouvier et al. 2013) and perhaps CW Tau, a disk warp periodically or stochastically blocks the light from the central star (see also Alencar et al. 2010; Findeisen et al. 2013). The measured luminosities of these objects are not realistic and should be discarded from population studies of ages obtained from H-R diagrams. The difficulty is in knowing which stars to discard. Easy cases will appear below the zero age main sequence on an H-R diagram, but many cases will not be so obvious. The inclusion of this uncertainty will require measurements of the frequency and scale of such events from monitoring observations, such as those done by CoRoT (Alencar et al. 2010). When variability information is available, the most straightforward technique is to simply calculate the average stellar brightness. However, in the case of disk obscuration, the maximum photospheric luminosity is likely more appropriate.

7. PROSPECTS FOR FUTURE IMPROVEMENTS AND CONCLUSIONS

This paper provides a consistent and robust set of spectral types and extinctions for 281 young stars, including many of the most well studied. The primary advances in this paper are the implementation of simultaneous measurements of the extinction, accretion continuum flux, and spectral type for accreting stars and a sufficient sample size to obtain a robust set of extinction-corrected spectral templates. The effects of veiling on spectral type and extinction are reduced when analyzing spectra with coverage from 4000–9000 Å. A similar approach was recently used by Manara et al. (2013a) to investigate two stars with previously reported ages of 30 Myr. Their accurate spectral type and luminosity yielded an age of 2–3 Myr, consistent with the age of the parent cluster.

An updated grid of photospheric M star templates will eventually be needed to account for the evolution of colors with pre-main-sequence contraction. Unfortunately, this problem is challenging to solve because the TTSs with known AV = 0 mag. are those in the 7–10 Myr old TWA and the η Cham association. No TTS in a young (<3 Myr) region can be assumed to have AV = 0 mag (or any other AV) based only on its colors, independent of a model template. The high binary fraction of young WTTSs (Kraus et al. 2012) also affects their use as photospheric templates. Although we minimize the effects of gravity dependence by using TTSs as templates, the gravity dependence between 1–10 Myr may still be significant and is not accounted for. Photometric samples of non-accretors are likely reliable, but degeneracy between spectral type and accretion continuum flux can lead to spectral type uncertainties of at least two subclasses.

The approach to measuring spectral types and extinction in this paper can reach a luminosity accuracy of ∼0.1–0.2 dex for most CTTSs, and should serve as a particularly useful guide in the analysis of broadband spectra obtained by VLT/X-Shooter (e.g., Manara et al. 2013a, 2013b) and for analysis of Gaia observations. The grid of spectral types should be improved and based on more direct measurements of effective temperature by comparing high-resolution spectra to models. The spectral type-effective temperature conversions are also uncertain at present because model atmospheres fail to reproduce some large spectral features for spectral types later than M4. The relationship between spectral type and extinction needs particular improvement between K5–M0.5, where the accuracy of our grid relative to other publications is especially uncertain. Our results rely upon the assumption that the accretion continuum flux is flat. However, the strength of the broadband accretion continuum should be measured with simultaneous broadband spectra. Finally, extinction measurements should include the effect of gravity on photospheric emission, following the gravity-dependent colors obtained by Covey et al. (2007) and Pecaut & Mamajek (2013). Ideally, some optically thin line ratios could be found and used to measure extinction, independent of gravity.

We thank the referee for helpful comments that improved the clarity and robustness of the results. We appreciate valuable discussions with Suzan Edwards, Adam Kraus, Sylvie Cabrit, Kevin Covey, and Davide Fedele, and also thank Kraus for help with a Taurus membership database. G.J.H. appreciates financial support for this project provided by the Youth Qianren Program of the National Science Foundation of China and the Observatoire de Paris for hosting him as a visiting astronomer.

APPENDIX A

Our observations include two possible members of Taurus, a background supergiant that was a candidate member of Lupus, and a reflection nebulosity. These tangential results are discussed below.

A.1. GK Tau B

GK Tau B is a visual companion located 2farcs4 from GK Tau (Hartigan et al. 1994). Based on optical photometry, White & Ghez (2001) suggested that the star may be a visual binary that is not associated with the Taurus star forming region.

Our 2008 January 20 observations of GK Tau A and GK Tau B were obtained with slits placed perpendicular to the position angle of the two stars. Some bleeding from GK Tau A likely affects the GK Tau B spectrum. The MgH band, Ca ii IRT absorption, and Hα emission are all detected from GK Tau B at a level that is inconsistent with possible bleeding from GK Tau A. GK Tau B is consistent with a ∼K3 SpT and AV = 2.1. The H-α emission indicates that GK Tau B is accreting, is a likely member of the Taurus Molecular Cloud, and is likely associated with GK Tau A.

A.2. 2MASS J04162709+2807313

We decided to observe 2MASS J04162709+2807313 on a whim, since it is close (14'') to LkCa 4, had not been previously discussed in the literature, and was noticed to be bright during our acquisition of LkCa 4. LkCa 4 S has a similar spectral type as LkCa 4 AB but is a factor of 3.5 fainter. Weak Hα emission suggests chromospheric activity, an indicator of youth. The K i 7700 Å and Na i 8200 Å doublets are weak and indicate a low gravity, consistent with the pre-main-sequence. If this star is a wide binary companion to LkCa 4, half of the luminosity difference is accounted for by the binarity of LkCa 4.

The optical brightness of LkCa 4 S during our observation is surprising. The star is six magnitudes fainter than LkCa 4 in 2MASS JHK and in USNO-B, with one magnitude of variability. The JHK color difference is consistent with AV = 1.9 mag. LkCa 4 S is also not listed in the WISE all sky catalogue, which rules out variability and extinction from an edge-on disk. Perhaps our observation occurred when the star peaked out of what is normally an opaque interstellar medium (ISM).

A.3. 2MASS J16003440-4225386

2MASS J16003440-4225386 was listed as a candidate member of Lupus based on an IR excess and colors that are consistent with a late M star (Chapman et al. 2007). The star has broad TiO bands but a huge absorption band around 8200 Å, characteristic of a late M star with a very low surface gravity. We classify the star as an ∼M9 I supergiant and a likely Cepheid variable.

A.4. Reflection Nebulosity of Sz 68 A

Sz 68 is a triple system, with the second and third components located 0farcs126 and 2farcs808 from Sz 68 A (Correia et al. 2006). The star drives a bright jet, known as HH 186 (Heyer & Graham 1989).

A bright reflection nebula was located between Sz 68 AB and Sz 68 C at the time of our observations. The spectrum of the reflection nebula is exactly the same as the Sz 68 AB spectrum. Figure 24 shows the spatial profile of emission in the slit of our Sz 68 C observation. The nebulosity within our slit accounts for 1.5% of the total emission from Sz 68 AB. The total emission from the nebulosity is likely much higher. The fraction of light from Sz 68 AB scattered into our line of sight by the reflection nebulosity does not depend on wavelength. Extended dust emission was independently found in Herschel/PACS observations of the Sz 68 system (Cieza et al. 2013).

Figure 24.

Figure 24. Shape of emission from Sz 68 B and the Sz 68 A reflection nebulosity in the dispersion direction at four different wavelengths. Within the slit, nebulosity extends over ∼4'' and reflects 1.5% of the total light from Sz 68A at all optical wavelengths.

Standard image High-resolution image

The Sz 68 C spectrum was extracted from the image by fitting a second-order polynomial to the edge of the nebulosity, subtracting off the model flux, and then extracting the leftover stellar flux.

APPENDIX B: COMPARISONS BETWEEN SYNTHETIC AND OBSERVED SPECTRA

This appendix and Figure 25 describe in detail our comparisons between observed spectra and the BT-Settl models with log g = 4.0 of Allard et al. (2012). The BT-Settl models in Allard et al. (2012) are calculated at 100 K intervals. Intermediate temperatures are calculated by linearly interpolating between temperatures at 10 K intervals. Our spectral type grid is listed in Table 4 and is supplemented with an M9.5 spectrum of KPNO 4 (K. L. Luhman 2008, private communication). The observed M8.5 and M9.5 spectra only cover red wavelengths (5700–9000 Å).

Figure 25.

Figure 25. Top: comparisons between luminosity class IV stars in the Pickles library and the best-fit BT-Settl synthetic spectra, normalized at 7300 Å. Bottom: comparisons between K5.5–M4 stars (left), M5-M8.5 stars (right, M8.5 is red only) from our grid of spectral templates (Table 4), and the best-fit BT-Settl synthetic spectra. Spectra are normalized at 7350 Å. The model spectra are then scaled by the best-fit parameter from Table 13. At spectral types later than M4, the blue spectra are much stronger in the BT-Settl models than in the observed spectra.

Standard image High-resolution image

For stars earlier than M0, synthetic spectra at some temperature can be found that reproduces the spectral shape and most features of the observed spectra. Some small differences occur at locations of strong lines, particularly the MgH/Mg b complex at 5200 Å.

For stars later than M0, the synthetic spectra are less good at reproducing the observed young star spectra. Specifically, with normalization at 7300 Å, the synthetic spectra lack opacity and are much stronger than the observed spectra shortward of 5000 Å. This discrepancy increases toward cooler stars. The synthetic spectrum is also slightly fainter than the observed spectrum at 5500–6500 Å. Later than ∼M4, the three strong TiO bands at 7140, 7600, and 8500 Å in the synthetic spectra no longer match the observed band depth. The discrepancy at blue wavelengths also becomes larger. The VO absorption band at 7500 Å is also much stronger in the synthetic spectra than in the observations, so the 7400–7600 Å region is avoided in our temperature calculations.

The temperatures are calculated by considering both the overall SED and the absorption line and band strengths. Specifically, we find a synthetic spectrum and a normalization that best fits the observed spectra considering several ranges in wavelengths within the spectral range of the data: (a) for blue+red, fits to the full 4300–8700 Å spectrum; (b) for red only, fits to the 6300–8700 Å spectrum; (c) for the blue+red spectrum, where the fits exclude the spectral locations of deep TiO bands; and (d) for the depth of TiO bands, with each band normalized to a nearby wavelength region so that the TiO-only fit is independent of the broadband colors. Results from these fits are presented in Table 13. The adopted temperatures for (1) spectral types earlier than K5 are obtained from (a), the full blue+red fit; (2) for spectral types K5–M0, from (c), the blue+red spectrum that excludes TiO bands; and (3) for spectral types later than M0, the average temperature from (c), the blue+red fits excluding TiO and (d), the TiO-only fits. For M-dwarf models, the absolute scaling is based on the fit from (c), the blue+red without TiO, calculated for the adopted temperature. If the molecular data is insufficient to reproduce the depth of the strong molecular bands, then the fits that focus on continuum regions and exclude molecular bands may be more accurate. For stars earlier than M0, the fit to the full spectrum is used to convert SpT to temperature. For stars later than M0, the spectral locations outside of TiO bands and the depth of the TiO bands are averaged to provide our conversion to temperature. The scaling parameter between the observed and model spectra is also listed in Table 13 and is based on the 7350–7400 Å spectral range.

Table 13. Temperature Measurements for Spectral Type Grid

Star Date SpT Blue+Red Red Only Blue+Red, No TiO TiO Only Adopted Fac
HBC 407 Dec 28 K0 5110 4910 ... 5100 5110 0.99
HBC 372 Dec 28 K2 4710 4570 ... 4850 4710 0.99
LkCa 14 Dec 28 K5 4200 4240 4220 4540 4220 1.02
MBM12 1 Jan 19 K5.5 4160 4240 4190 4420 4190 0.99
TWA 9A Jan 20 K6.5 4140 4160 4160 4300 4160 1.03
V826 Tau Dec 30 K7 4020 4130 4020 4300 4020 1.05
V830 Tau Dec 30 K7.5 3940 4050 3930 4200 3930 1.03
TWA 6 Dec 29 M0 3930 3990 3910 4200 3910 1.05
TWA 25 Dec 28 M0.5 3840 3850 3850 3680 3770 1.05
TWA 13S Jan 18 M1.0 3750 3810 3740 3620 3690 1.05
LkCa 4 Dec 30 M1.5 3730 3800 3720 3620 3670 1.05
LkCa 5 Dec 28 M2.2 3550 3660 3530 3500 3520 1.05
LkCa 3 Dec 28 M2.4 3530 3650 3510 3500 3510 1.06
TWA 8A Jan 18 M3.0 3380 3530 3370 3410 3390 1.04
TWA 9B Jan 20 M3.4 3340 3440 3360 3330 3340 1.05
2M J1207-3247 Dec 28 M3.5 3320 3430 3320 3380 3350 1.10
Hen 3-600 B May 28 M4.1 3140 3320 3140 3100 3120 1.05
XEST 16-045 Dec 28 M4.4 3070 3140 3100 3100 3100 1.06
J2 157 Dec 28 M4.7 3020 3080 3060 3040 3050 1.03
TWA 8B Dec 30 M5.2 2840 3000 2840 2990 2910 1.05
MBM12 7 Dec 30 M5.6 2830 2990 2830 2960 2890 1.05
V410 X-ray 3 Dec 30 M6.5 2770 2800 2780 2880 2830 1.09
Oph 1622 A May 28 M7.25 2680 2710 2680 2820 2750 1.08

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The fits to the TiO spectrum and to the spectrum outside of the TiO bands differ by as much as 200 K, which suggests a ∼100 K uncertainty in our conversion and that the model atmospheres do not yet reproduce spectra of pre-main-sequence stars that are cool enough for TiO and other molecules to provide significant opacity in the atmosphere. Increasing log g from 4.0 to 4.5 leads to a decrease of ∼50 K in temperature. The discrepancies between the synthetic and observed spectra are significant for objects later than M1, increase substantially at spectral types later than M4, and are especially large at M9.5. The uncertainty in the SpT–temperature conversion also leads to uncertainty in the bolometric corrections and in the luminosity from evolutionary models that use these atmospheres.

APPENDIX C: TABLE OF STELLAR PROPERTIES

Table 14 lists the abbreviated name, number of spectra N on different nights, distance, spectral type, extinction, flux at 7510 Å corrected for extinction, veiling r at 7510 Å, and the log  of the photospheric luminosity for all stars in our sample. An electronic-only table lists for each spectrum the full target name and position, the observation date, and mass and age estimates. Negative extinctions and the calculated extinctions to the TWA are listed in parenthesis and are treated as AV = 0 when calculating luminosities. Several stars only have red spectra because of either detector failure or the star was too faint, and are noted with "r" after the spectral type. These red-only spectra have larger uncertainties in the spectral type and extinction measurements. For unresolved multiple stars systems (e.g., TWA 4 AabBab, GG Tau Aab, GG Tau Bab, LkCa 3AabBab, etc.), the spectral type and stellar properties are global measurements of the entire system.

Table 14. Stellar Properties

Object N d SpT AV log F r log L
(pc) (mag) a b (L)
MBM12 1 1 275 K5.5 0.10 −13.18 0.00 0.25
MBM12 2 1 275 M0.3 1.65 −13.83 0.18 −0.39
MBM12 3 1 275 M2.8 0.55 −13.66 0.02 −0.18
MBM12 7 1 275 M5.6 (−0.10) −14.79 0.00 −1.14
LkHa 264 1 275 K5.5 (−0.25) −13.80 0.57 −0.36
MBM12 8 1 275 M5.9 0.30 −15.19 0.00 −1.51
MBM12 5 1 275 K2.0 0.90 −12.96 0.00 0.44
MBM12 9 1 275 M5.6 0.10 −15.24 0.00 −1.59
MBM12 6 1 275 M3.8 0.50 −14.23 0.04 −0.70
MBM12 10 1 275 M3.4 0.60 −13.98 0.02 −0.49
MBM12 11 1 275 M5.8 (−0.10) −15.07 0.01 −1.40
MBM12 12 1 275 M2.6 0.25 −13.77 0.04 −0.30
2M 0325+2426 1 140 M4.4 0.80 −14.44 0.00 −1.46
c2d 0329+3118 1 315 M0.0 3.50 −14.08 0.04 −0.53
c2d 0330+3032 1 315 M2.7 2.70 −15.53 0.00 −1.94
LkHa 329 1 315 K5.0 2.70 −13.19 0.11 0.36
LkHa 330 2 315 F7.0 2.85 −12.34 0.00 1.21
HBC 358 1 140 M3.9 0.05 −13.66 0.00 −0.72
HBC 359 1 140 M2.8 (−0.25) −13.65 0.00 −0.76
HBC 360 1 140 M3.4 0.30 −13.78 0.00 −0.87
HBC 361 1 140 M3.2 0.40 −13.75 0.00 −0.85
HBC 362 1 140 M2.7 0.10 −13.84 0.00 −0.95
2M 0407+2237 1 140 M4.8 0.80 −14.30 0.00 −1.28
LkCa 1 1 131 M3.6 0.45 −13.16 0.00 −0.29
HBC 366 1 131 M0.5 2.20 −12.72 0.00 0.07
V773 Tau 1 131 K4.0 0.95 −12.30 0.00 0.48
FM Tau 4 131 M4.5 0.35 −14.08 0.49 −1.15
FN Tau 4 131 M3.5 1.15 −13.14 0.02 −0.28
CW Tau 1 131 K3.0 1.80 −13.11 0.50 −0.35
CIDA 1 1 131 M4.5 3.00 −13.65 0.13 −0.72
MHO 3 1 132 M2.2 5.30 −13.63 0.00 −0.81
FP Tau 5 131 M2.6 0.60 −13.61 0.05 −0.78
XEST 20-066 1 131 M5.2 (−0.14) −13.98 0.00 −1.00
CX Tau 4 131 M2.5 0.25 −13.40 0.02 −0.58
LkCa 3 1 131 M2.4 0.00 −12.82 0.00 −0.00
FO Tau 4 131 M3.9 2.05 −13.16 0.07 −0.28
XEST 20-071 1 131 M3.1 3.00 −13.04 0.00 −0.21
2M 0415+2818 2 131 M4.0 1.80 −13.54 0.03 −0.64
2M 0415+2909 1 131 M0.6 2.80 −13.25 0.00 −0.46
2M 0415+2746 1 140 M5.2r 0.60 −14.34 0.00 −1.30
2M 0416+2807 1 131 M1.4 (−0.15) −13.77 0.00 −0.97
LkCa 4 2 131 M1.3 0.35 −13.09 0.00 −0.29
CY Tau 4 131 M2.3 0.35 −13.39 0.13 −0.58
LkCa 5 1 131 M2.2 0.05 −13.46 0.00 −0.64
V410 X-ray 1 1 131 M3.7 1.70 −14.42 0.04 −1.55
V410 X-ray 3 1 131 M6.5 0.20 −14.54 0.00 −1.45
V409 Tau 3 131 M0.6 1.00 −12.98 0.00 −0.18
HBC 372 1 147 K2.0 0.65 −13.55 0.00 −0.69
KPNO 11 1 131 M5.9 (−0.20) −14.50 0.00 −1.47
DD Tau 1 131 M4.8 0.75 −13.50 0.44 −0.54
CZ Tau 2 131 M4.2 0.50 −13.67 0.00 −0.76
V892 Tau 1 131 A0 9.30c −10.72 0.00 2.11
Hubble 4 1 131 K8.5 1.35 −12.75 0.00 0.04
HBC 376 1 147 K4.0 0.25 −13.22 0.00 −0.34
V410 X-ray 6 2 131 M5.9 1.40 −13.95 0.00 −0.92
FQ Tau 1 131 M4.3 1.60 −13.45 0.15 −0.54
BP Tau 4 131 M0.5 0.45 −13.17 0.32 −0.38
V819 Tau 1 131 K8.0 1.00 −13.11 0.00 −0.32
FR Tau 1 131 M5.3 0.20 −14.03 0.03 −1.04
LkCa 7 1 131 M1.2 0.05 −13.14 0.00 −0.34
2M 0420+2804 1 131 M3.5 0.25 −13.66 0.00 −0.80
XEST 16-045 1 131 M4.5 (−0.05) −13.80 0.00 −0.87
J2 157 1 131 M4.6 0.35 −14.13 0.00 −1.19
IRAS 04187+1927 1 131 M2.4 3.10 −13.38 0.08 −0.56
DE Tau 4 131 M2.3 0.35 −13.09 0.05 −0.28
RY Tau 1 131 G0 1.85 −11.74 0.00 1.03
HD 283572 1 131 G4 0.50 −12.00 0.00 0.76
T Tau 1 147 K0 1.25 −12.01 0.10 0.85
FS Tau 1 131 M2.4 2.95 −13.66 0.46 −0.84
LkCa 21 1 140 M2.5 0.30 −13.25 0.00 −0.37
XEST 11-078 1 140 M0.7 1.55 −14.90 0.00 −2.04
CFHT 21 1 140 M1.5 3.75 −14.13 0.27 −1.27
FU Tau 1 140 M6.5 1.20 −14.14 0.01 −1.00
FT Tau 1 140 M2.8 1.30 −13.64 0.27 −0.75
IRAS 04216+2603 1 140 M2.8 1.90 −13.95 0.37 −1.07
J4423 1 140 M4.5 0.25 −14.07 0.00 −1.08
IP Tau 1 140 M0.6 0.75 −13.26 0.12 −0.41
J4872 A 1 140 M0.6 1.20 −13.20 0.00 −0.35
J4872 B 1 140 M3.7 1.60 −13.51 0.00 −0.58
FV Tau A 1 140 M0.0 4.30 −13.33 0.21 −0.48
FV Tau B 1 140 M3.8 3.10 −13.65 0.07 −0.71
KPNO 13 1 140 M5.1 1.80 −14.06 0.00 −1.02
DF Tau 2 140 M2.7 0.10 −12.92 0.16 −0.04
DG Tau 4 140 K7.0 1.60 −13.14 0.40 −0.29
HBC 388 1 140 G6.0 0.25 −12.53 0.00 0.27
J507 1 140 M4.2 0.50 −13.38 0.00 −0.42
FW Tau 1 140 M5.8 (−0.20) −13.88 0.00 −0.80
GV Tau 2 140 c 3.91 −13.90 ... ...
XEST 15-034 1 140 M4.1 0.20 −14.11 0.00 −1.15
DH Tau 1 140 M2.3 0.65 −13.53 0.40 −0.66
DI Tau 2 140 M0.7 0.70 −13.01 0.00 −0.16
IQ Tau 2 140 M1.1 0.85 −13.47 0.11 −0.61
CFHT 20 1 140 M5.2 2.30 −14.27 0.00 −1.23
UX Tau W 2 140 M1.9 0.40 −13.30 0.00 −0.43
UX Tau E 2 140 K0.0 0.65 −12.61 0.00 0.20
UX Tau C 1 140 M2.8 (−0.05) −14.12 0.00 −1.24
FX Tau 1 140 M2.2 0.80 −13.16 0.06 −0.29
DK Tau A 1 140 K8.5c 0.70 −13.12 0.27 −0.27
DK Tau B 2 140 M1.7 1.80 −13.62 0.28 −0.76
ZZ Tau 4 140 M4.3 0.55 −13.25 0.02 −0.28
ZZ Tau IRS 1 140 M4.5 1.70 −14.65 0.10 −1.66
JH 56 1 140 K8.0 0.35 −13.17 0.00 −0.32
V927 Tau 1 140 M4.9 (−0.20) −13.53 0.00 −0.51
LkHa 358 1 140 M0.9 2.80 −14.80 0.35 −1.94
HL Tau 1 140 K3c 2.50 −13.67 0.47 −0.84
XZ Tau 1 140 M3.2 1.50 −13.14 0.07 −0.24
HK Tau 3 140 M1.5 2.40 −13.39 0.10 −0.52
V710 Tau A 2 140 M3.3 0.80 −13.34 0.00 −0.43
V710 Tau B 1 140 M1.7 0.55 −13.47 0.03 −0.61
J665 1 140 M4.9 0.40 −13.84 0.00 −0.81
V1075 Tau 1 140 K6.0 0.25 −13.12 0.00 −0.28
V827 Tau 1 140 M1.4 0.05 −13.29 0.00 −0.43
Haro 6-13E 1 140 M1.6 2.20 −13.43 0.41 −0.57
Haro 6-13W 1 140 K5.5 2.25 −12.89 0.13 −0.04
V826 Tau 1 140 K7.0 0.40 −13.04 0.00 −0.20
MHO 5 1 140 M6.5 (−0.20) −14.13 0.00 −0.99
CFHT 7 1 140 M6.7 0.20 −14.61 0.00 −1.44
V928 Tau 1 140 M0.8 1.95 −13.03 0.00 −0.18
MHO 6 1 140 M5.0 (−0.15) −14.25 0.01 −1.22
MHO 7 1 140 M5.3 (−0.20) −14.16 0.00 −1.12
GG Tau B 2 140 M5.8 0.00 −14.21 0.00 −1.13
GG Tau A 2 140 K7.5 1.00 −12.69 0.07 0.15
FY Tau 2 140 M0.1 3.05 −13.24 0.16 −0.39
FZ Tau 3 140 M0.5c 3.50 −13.33 0.30 −0.48
UZ Tau B 1 140 M3.1 0.70 −13.10 0.03 −0.21
UZ Tau A 1 140 M1.9 0.90 −13.26 0.14 −0.40
HBC 403 1 140 K6.0 0.85 −13.20 0.00 −0.36
JH 112A 4 140 K5.5 3.10 −13.27 0.00 −0.42
JH 112B 1 140 M4.6 2.95 −13.99 0.00 −0.99
GH Tau 1 140 M2.3 0.40 −13.07 0.00 −0.19
V807 Tau 1 140 K7.5 0.50 −12.58 0.05 0.26
V830 Tau 1 140 K7.5 0.45 −13.09 0.00 −0.24
GI Tau 3 140 M0.4 2.05d −13.10 0.04 −0.25
GK Tau A 5 140 K6.5 1.50d −12.87 0.08 −0.03
GK Tau B 1 140 K3.0 2.20 −14.01 0.00 −1.18
IS Tau 1 140 M2.0 2.55 −13.26 0.02 −0.39
DL Tau 4 140 K5.5c 1.80 −13.15 0.36 −0.30
HN Tau A 1 140 K3c 1.15 −13.60 0.49 −0.77
HN Tau B 1 140 M4.8r 0.60 −14.67 0.00 −1.65
2M 0433+2615 1 140 M5.2r 3.20 −14.14 0.00 −1.10
DM Tau 4 140 M3.0 0.10 −13.78 0.12 −0.89
CI Tau 1 140 K5.5 1.90 −13.05 0.40 −0.20
XEST 17-059 1 161 M5.5 1.00 −13.75 0.00 −0.57
IT Tau A 2 140 K6.0 3.10 −12.86 0.00 −0.01
IT Tau B 1 140 M2.9r 5.60 −13.21 0.00 −0.32
J2 2041 1 140 M3.7 0.45 −13.61 0.00 −0.68
JH 108 1 161 M1.5 1.75 −13.50 0.00 −0.51
HBC 407 1 140 K0 0.80 −13.26 0.00 −0.45
AA Tau 3 140 M0.6 0.40 −13.20 0.03 −0.35
HO Tau 1 161 M3.2 1.00 −13.87 0.20 −0.85
FF Tau 1 161 K8.0 2.00 −13.00 0.00 −0.04
HBC 412 1 140 M2.6 0.30 −13.39 0.00 −0.51
DN Tau 1 140 M0.3 0.55 −12.93 0.00 −0.08
CoKu Tau 3A 1 140 M0.5 3.40 −13.72 0.00 −0.87
CoKu Tau 3B 1 140 M4.3r 6.70 −13.78 0.00 −0.80
HQ Tau 1 161 K2.0 2.60 −12.29 0.00 0.65
HP Tau 1 161 K4.0 3.15 −12.92 0.16 0.03
HP Tau G3 1 161 M0.6r 2.10 −13.32 0.00 −0.35
HP Tau G2 3 161 G2 2.55 −12.09 0.00 0.84
Haro 6-28 1 161 M3.1 2.85 −13.52 0.15 −0.50
XEST 09-042 1 161 K7.0 1.05 −12.90 0.05 0.06
LkCa 14 1 140 K5.0 0.00 −13.00 0.00 −0.15
2M 0436+2351 1 140 M5.1 (−0.20) −14.95 0.01 −1.91
GM Tau 1 140 M5.0 2.10 −14.42 0.26 −1.38
DO Tau 2 140 M0.3 0.75c −13.49 0.54 −0.64
HV Tau 1 140 M4.1 1.40 −13.14 0.00 −0.18
2M 0439+2336 1 140 M4.9 (−0.20) −14.07 0.01 −1.05
VY Tau 1 161 M1.5 0.60 −13.39 0.02 −0.41
LkCa 15 4 161 K5.5 0.30 −13.06 0.04 −0.09
GN Tau 2 140 M2.5 3.05 −13.33 0.12 −0.45
ITG 15 1 140 M5.0 2.65 −13.64 0.00 −0.61
JH 223 1 140 M2.8 1.20 −13.65 0.00 −0.76
Haro 6-32 1 140 M5.2 0.75 −13.95 0.00 −0.91
IW Tau 1 140 M0.9 0.40 −13.13 0.00 −0.28
CoKu Tau 4 2 140 M1.1 1.75 −13.35 0.00 −0.50
2M 0441+2301 1 140 M4.3 (−0.15) −13.82 0.00 −0.85
HBC 422 1 140 M0.6 2.60 −13.08 0.00 −0.23
HBC 423 1 140 M2.5 2.65 −13.02 0.00 −0.14
V955 Tau 2 140 K8.5 2.90 −13.20 0.06 −0.35
CIDA 7 1 140 M5.1 1.10 −14.13 0.04 −1.09
DP Tau 3 140 M0.8c 0.80 −14.04 0.38 −1.18
GO Tau 5 140 M2.3 1.50 −13.57 0.09 −0.70
CIDA 14 2 140 M5.5 (−0.20) −13.89 0.00 −0.84
RX J0446.7+2459 1 140 M5.5 0.00 −14.25 0.00 −1.19
DQ Tau 1 140 M0.6 1.40 −13.08 0.06 −0.23
Haro 6-37A 1 140 K8.0 2.05 −13.97 0.33 −1.13
Haro 6-37B 1 140 M0.9 0.85 −13.93 0.36 −1.07
DR Tau 4 140 K6c 0.45 −13.33 0.51 −0.49
DS Tau 4 140 M0.4 0.25 −13.57 0.36 −0.72
UY Aur 1 140 K7.0 1.00 −12.91 0.07 −0.07
ST 34 1 140 M3.4 0.50 −13.70 0.14 −0.79
GM Aur 5 140 K6.0 0.30 −13.16 0.18 −0.31
LkCa 19 1 140 K2.0 0.50 −12.69 0.00 0.13
2M 0455+3019 1 140 M4.7 0.70 −14.00 0.01 −0.99
AB Aur 1 140 A1.0 0.55 −11.49 0.00 1.39
2M 0455+3028 1 140 M5.0 0.20 −14.10 0.00 −1.06
XEST 26-062 1 140 M4.0 0.85 −13.68 0.01 −0.73
SU Aur 1 140 G4 0.70 −12.02 0.00 0.79
HBC 427 1 140 K6.0 0.20 −12.90 0.00 −0.05
V836 Tau 1 140 M0.8 0.60 −13.37 0.02 −0.52
CIDA 8 1 140 M3.7 1.70 −13.71 0.10 −0.78
CIDA 9A 1 140 M1.8 1.35 −13.74 0.19 −0.88
CIDA 9B 1 140 M4.6r 0.05 −14.00 0.00 −1.00
CIDA 10 1 140 M4.2 0.55 −13.74 0.00 −0.77
CIDA 11 1 140 M4.2 0.35 −13.58 0.05 −0.61
2M 0506+2104 1 140 M5.6 (−0.20) −14.65 0.00 −1.59
RW Aur B 1 140 K6.5 0.10 −13.20 0.18 −0.36
RW Aur A 1 140 K0 (−0.25) −12.95 0.52 −0.14
CIDA 12 1 140 M3.7 0.50 −14.00 0.03 −1.07
2M 0516+2214 1 140 M5.0 (−0.10) −14.35 0.00 −1.32
2M 0518+2327 1 140 M5.2 (−0.00) −14.96 0.12 −1.91
CVSO 224 1 416 M3.5 0.40 −14.66 0.01 −0.80
2M 0532+2423 1 140 M6.0 (−0.15) −15.19 0.00 −2.09
2M 0537+2428 2 140 M5.5 (−0.25) −14.35 0.00 −1.29
2M 0539+2322 1 140 M5.8 (−0.25) −14.82 0.00 −1.73
RR Tau 1 ... A3 2.05 −12.84 0.00 ...
2M 0542+2213 1 140 M2.8 0.20 −13.81 0.00 −0.92
AT Pyx 1 400 K2.0 1.20 −13.45 0.00 0.28
TWA 6 2 67 M0.0 (0.05) −12.86 0.00 −0.66
TWA 7 2 34 M3.2 (−0.10) −12.61 0.00 −0.94
TWA 1 7 54 M0.5 0.00 −12.75 0.15 −0.72
TWA 2 1 42 M2.2 (−0.15) −12.50 0.00 −0.67
TWA 3A 1 35 M4.1 (0.05) −12.68 0.01 −0.92
TWA 3B 1 35 M4.0 (0.20) −12.85 0.00 −1.10
TWA 14 1 96 M1.9 (0.10) −13.12 0.00 −0.58
TWA 13N 2 56 M1.1 (0.20) −12.78 0.00 −0.71
TWA 13S 2 59 M1.0 (0.15) −12.77 0.00 −0.66
TWA 4 1 45 K6.0 (0.10) −11.84 0.00 0.02
TWA 5 1 49 M2.7 (−0.20) −12.58 0.00 −0.61
TWA 8B 4 39 M5.2 (0.20) −13.60 0.00 −1.66
TWA 8A 3 43 M2.9 (0.05) −12.82 0.00 −0.96
TWA 9B 1 52 M3.4 0.00 −13.43 0.00 −1.38
TWA 9A 1 47 K6.0 (−0.05) −12.73 0.00 −0.83
TWA 23 1 49 M3.5 (0.05) −12.91 0.00 −0.91
TWA 25 1 54 M0.5 (0.05) −12.68 0.00 −0.65
HR 4796 1 73 A0 0.00 −11.13 0.00 1.20
Sz 65 1 150 K6.0 0.80 −12.95 0.00 −0.05
Sz 66 1 150 M4.3 0.50 −13.77 0.04 −0.73
Sz 68 A 1 150 K2.0 1.00 −12.14 0.00 0.74
Sz 68 B 1 150 M5.9 (−0.10) −14.19 0.00 −1.04
GW Lup 1 150 M2.3 0.55 −13.57 0.08 −0.63
HM Lup 1 150 M2.9 0.60 −13.75 0.10 −0.80
Sz 73 1 150 K8.5 2.75 −13.67 0.36 −0.77
GQ Lup 1 150 K5.0 1.60 −12.95 0.35 −0.04
Sz 76 1 150 M3.2 0.90 −13.69 0.03 −0.73
Sz 77 1 150 K5.5 0.70 −13.04 0.06 −0.14
Sz 81A 1 150 M4.4 0.05 −13.84 0.01 −0.80
Sz 81B 1 150 M5.1 (−0.10) −14.11 0.00 −1.01
RX J1556.1-3655 1 150 M1.2 0.60 −13.63 0.26 −0.71
IM Lup 1 150 K6.0 0.40 −12.94 0.00 −0.03
Sz 84 1 150 M4.4 0.80 −13.89 0.04 −0.85
UScoCTIO 33 1 145 M4.5 0.40 −14.60 0.25 −1.58
HD 143006 2 145 G3 0.45 −12.45 0.00 0.39
2M 1558-1758 1 145 K5.0 0.20 −13.06 0.00 −0.18
UScoCTIO 128 1 145 M6.2 0.50 −15.61 0.03 −2.46
UScoCTIO 112 1 145 M5.1 0.75 −15.02 0.00 −1.94
UScoCTIO 100 1 145 M5.7 0.40 −14.93 0.00 −1.83
2M 1605-1933 1 145 M4.4 1.60 −14.39 0.16 −1.38
2M 1606-2056 1 145 M6.9 1.00 −15.29 0.01 −2.08
Sz 91 1 200 M2.0 1.60 −13.74 0.10 −0.56
Sz 96 1 200 M0.8 0.95 −13.39 0.07 −0.23
Sz 98 1 200 M0.4 1.25 −13.42 0.33 −0.26
Sz 102 1 200 c 0 −15.35 ... ...
Sz 104 1 200 M4.6 0.85 −14.15 0.04 −0.84
Sz 111 1 200 M1.2 0.85 −13.64 0.05 −0.48
AS 205 B 1 121 M0.1 2.40 −12.67 0.32 0.05
AS 205 A 1 121 c 1.75 −12.38 ... ...
SST Lup3 1 1 200 M4.9 0.85 −14.44 0.04 −1.10
2M 1614-2305 1 121 K4.0 0.40 −12.50 0.00 0.21
V892 Sco 1 121 K2.0 0.90 −13.79 0.36 −1.10
DoAr 21 1 121 G1 7.10e −11.46 0.00 1.23
SR 21 2 121 F7 6.20e −11.84 0.00 0.87
SR 21 B 1 121 M3.6r 5.40 −13.89 0.00 −1.09
IRS 48 1 121 A0r 11.35e −12.11 0.00 0.66
SR 9 2 121 K6.0 0.25 −12.86 0.10 −0.14
RNO 91 1 121 K3c 3.10 −12.88 0.45 −0.18
RXJ 1842.9-3532 1 130 K3.0 0.60 −13.13 0.11 −0.37
RXJ 1852.3-3700 1 130 K4.0 0.25 −13.26 0.18 −0.49
DG CrA 1 130 K5.0 1.0 −13.30 0.14 −0.52
HBC 680 1 130 M1.9 1.50 −13.03 0.00 −0.23
VV CrA 1 130 c 3.95 −12.67 ... ...

Notes. aF: photospheric flux at 7510 Å erg cm−2 s−1 Å−1. br: veiling at 7510 Å. cRV = 5.5 for V892 Tau. dVariable AV, average listed here. eRV = 4 for DoAr 21 and SR 21 and 5.5 for IRS 48.

A machine-readable version of the table is available.

Download table as:  DataTypeset images: 1 2 3 4 5

The mass and age estimates are obtained by comparing the photosphere temperature and luminosity to the Baraffe et al. (2003) pre-main-sequence tracks for masses <0.2 M, Tognelli et al. (2011) tracks for masses >0.4 M, and interpolated between those models for 0.2–0.4 M. Multiplicity is not accounted for in these mass and age estimates. Severely underluminous stars located below the main sequence have no age listed and a mass (listed in parenthesis) assessed by assuming a 3 Myr.

For the 59 stars observed on multiple nights, in Table 14 the veiling and flux at 7510 Å are averages, and the luminosity is calculated from the average flux. These values are each listed independently for each night in the electronic Table. The SpT and, when possible, the extinction are the average of those measured for each spectrum. In several cases, the listed extinctions are different, indicating that no one extinction could accurately explain all spectra from the object. The observed flux at 7510 Å and consequent photospheric luminosity show variability, some of which is attributed to uncertainties in the absolute flux calibration.

Stars with heavy veiling and no spectral type are listed as continuum (c) stars. For these stars, extinction is calculated by assuming the continuum is flat. The listed F7510 corresponds to the extinction-corrected flux rather than the photospheric flux, and is listed in parenthesis. In less extreme cases of heavily veiled stars, the spectral type may be estimated and is listed with a "c" following the spectral type.

Spectral types of M dwarfs are listed to 0.1 subclass, although our internal precision is ∼0.2–0.3 subclasses. Larger differences are likely when comparing spectral types to other studies. Extinctions of stars later than K0 were measured against our spectral type grid and are listed to 0.05 mag in AV. Our extinctions are accurate to ∼0.2 mag for stars with little or no veiling.

The extinction measurements assume an extinction law based on a total-to-selective extinction of RV = 3.1 for most targets. Targets with large extinctions (AV > 5) typically required higher RV, indicative of larger grains. V892 Tau could only be fit with an extinction law using RV > 5 and is assumed to be RV = 5.5. DoAr 21 and SR 21 (a star with a transition disk) required fits with extinction laws using RV = 4. For IRS 48, we assumed RV = 5.5 because of the high extinction.

When possible, we rely on parallax distances: 120 pc for Ophiucus (Loinard et al. 2008), 131 pc for stars near the Lynds 1495 complex in Taurus (Torres et al. 2012), 147 pc for stars near T Tau (Loinard et al. 2007), 161 pc for the stars near the HP Tau complex in Taurus (Torres et al. 2009), 140 pc for all other Taurus objects, and 416 pc for Orion (Menten et al. 2007; Kim et al. 2008). Distances for TWA members are listed in Table 12. We also use 150 pc for Lupus 1 and 200 pc for Lupus 3 (Comeron 2008), 130 pc for CrA (Neuhäuser & Forbrich 2008), 145 pc for Upper Sco OB Association (Preibisch & Mamajek 2008), 275 pc for MBM 12 (Luhman 2001), and 200 pc for AT Pyx in the Gum Nebula (Kim et al. 2005).

The distance to RR Tau is not well constrained and is left blank here. The commonly cited distance of 800 pc has often been credited to several more recent publications but was actually calculated by Herbig (1960). The distance to RR Tau was assumed to equal to the distance to the A6 star BD+26 887, located 3' away. The distance to BD+26 887 was then calculated by comparing its magnitude to that of a main sequence B8 star, based on the spectral type at the time. Hernandez et al. (2004) later adjusted the distance of BD+26 887, but not RR Tau, to 2 kpc based on rough proximity to molecular clouds with distances inferred by (Kawamura et al. 1998). If we assume that AB Aur and RR Tau have the same luminosity, RR Tau would be located at ∼670 pc. On the other hand, Slesnick et al. (2006) identified pre-main-sequence stars 3° to the south of RR Tau (RR Tau was not covered in their survey) that have brightnesses consistent with the ∼140 pc distance to Taurus.

Footnotes

  • The TiO 7140 index was developed by Slesnick et al. (2006). Our definition uses a slightly different continuum region.

  • The scales for Rajpurohit et al. (2013), Casagrande et al. (2008), and our work were calculated by using best-fit polynomials to the data points of spectral type versus effective temperature. For Casagrande et al. (2008), the data were obtained from tables of Rajpurohit et al. (2013).

  • The uncertainty in veiling measurements is typically 0.05–0.1 for moderately veiled stars and much larger for heavily veiled stars because the definition is the accretion flux divided by the photospheric flux. In either case, the uncertainty in the flux is 5%–10% of the total observed flux and not 5%–10% of the flux attributed to the accretion continuum.

  • These arguments do not apply at the earliest stages of protostellar evolution or for outbursts, when accretion rates are much higher than those typically measured in the T Tauri phase. In these cases, the accretion luminosity may be much brighter than any photospheric luminosity, regardless of the underlying spectral type on an unheated photosphere, if present.

  • This difference may be attributed to the lack of a sufficient grid of near-IR WTTS templates. One of their two templates, V819 Tau was assigned AV = 2.6 mag (compared with 1.1 mag here) based on a comparison with a main sequence star. Their other template, LkCa 14, was assigned an M0 spectral type (compared with K5 here). Gullbring et al. (1998) also found anomalous near-IR colors for V819 Tau.

  • 10 

    The 2008 December observation of GV Tau does not show obvious TiO emission, although this emission may be masked by additional red continuum emission. The variability may be real or attributable to different slit positions and seeing. GV Tau is the one source in our sample that is clearly extended in emission lines beyond what would be expected for a 1farcs2 binary, even in poor seeing.

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10.1088/0004-637X/786/2/97