This paper was converted on www.awesomepapers.org from LaTeX by an anonymous user.
Want to know more? Visit the Converter page.

Protostars at Low Extinction in Orion A

John Arban Lewis & Charles J. Lada Harvard-Smithsonian Center for Astrophysics
60 Garden St
Cambridge, MA 02138
jalewis@cfa.harvard.edu clada@cfa.harvard.edu
(Accepted 05/07/2016)
Abstract

In the list of young stellar objects compiled by Megeath et al. (2012) for the Orion A molecular cloud, only 44 out of 1208 sources found projected onto low extinction (AK<0.8A_{\rm K}<0.8 mag) gas are identified as protostars. These objects are puzzling because protostars are not typically expected to be associated with extended low extinction material. Here, we use high resolution extinction maps generated from Herschel data, optical/infrared and Spitzer Space Telescope photometry and spectroscopy of the low extinction protostellar candidate sources to determine if they are likely true protostellar sources or contaminants. Out of 44 candidate objects, we determine that 10 sources are likely protostars, with the rest being more evolved young stellar objects (18), galaxies (4), false detections of nebulosity and cloud edges (9), or real sources for which more data are required to ascertain their nature (3). We find none of the confirmed protostars to be associated with recognizable dense cores and we briefly discuss possible origins for these orphaned objects.

extinction,galaxies:star formation,infrared:general,stars:protostars

1 Introduction

Accurate characterization of young stellar objects (YSOs) is important for studies of star formation. For example, comparing the relative numbers of protostars and more evolved pre-main sequence (PMS) stars can provide information regarding the relative lifetimes of the various stages of early stellar evolution. Comparison of the relative positions of YSOs in different evolutionary states with the location of dense gas structures can also yield information regarding the diffusion of YSOs in a star forming cloud. A reliable census of YSOs is also necessary for determining accurate star formation rates (SFRs) and efficiencies (SFEs) in molecular gas. In particular, because of a protostar’s extreme youth, a dependable census of a cloud’s protostellar population is essential for constructing important empirical relationships, such as the Schmidt Law, that probe the physical connection between star formation and molecular cloud structure (e.g., Lada et al., 2013).

Recent studies of nearby molecular clouds suggest the existence of a column density threshold for star formation, below which stars rarely form. The estimated value of the threshold is AK0.8A_{\rm K}\sim 0.8 magnitudes and has been determined by comparing maps of a cloud’s extinction with the numbers and/or locations of protostars within the cloud (e.g., Johnstone et al., 2004; Heiderman et al., 2010; Lada et al., 2010). However, many of these same molecular clouds also exhibit Schmidt-like (i.e. power-law) scaling relations between the surface densities of YSOs and cloudy material over a wide range of extinctions with no evidence for a break in the relation near the suggested threshold (e.g., Gutermuth et al., 2011; Lada et al., 2013; Lombardi et al., 2014). This apparent paradoxical situation is largely resolved by the fact that the derived power-law slopes of the Schmidt relations are found to be relatively steep indicating extremely low protostellar surface densities in the low extinction regions compared to the high extinction regions of molecular clouds. Indeed, observations find that only about 10% of all protostars are projected on regions below the proposed extinction thresholds (Lada et al., 2013; Evans et al., 2014). Despite their relative rarity, the presence of protostars in low extinction regions is of considerable interest, however, since it raises interesting questions about the very nature of protostars, in particular, whether protostars can form in situ in such rarified conditions.

In order to understand the nature of low extinction protostars one must first reliably verify their existence. YSOs are best identified and classified by the shapes of their spectral energy distributions (SEDs). The shapes of YSO SEDs, particularly in the infrared, are sensitive to the presence, structure and amount of surrounding circumstellar dust and are therefore indicative of the evolutionary state of the object (Lada & Wilking, 1984; Lada, 1987; Adams et al., 1987). SED classes (i.e., 0, I, II and III) describe a YSO sequence characterized by decreasing amounts of circumstellar dust and generally correspond to three basic YSO evolutionary states or stages (Robitaille et al., 2006): protostar (Stage I), pre-main sequence (PMS) star with circumstellar disk (Stage II), and dust free or naked PMS star (Stage III). Protostars correspond to SED classes 0 and I, depending, respectively, on whether there is substantially more mass in the envelope than in the central star and disk (Andre et al., 1993) or vice versa. Protostellar evolution is driven by the depletion (or removal) of the surrounding circumstellar envelope. Once the envelope is dissipated, a circumstellar disk often remains and dominates the infrared emission from the YSO resulting in a Class II SED. Given wavelength complete SEDs, protostars (Class 0++I sources) can be readily distinguished from Class II or disk dominated sources. Unfortunately, it is not practical to obtain complete SEDs for statistically significant samples of YSOs in molecular clouds. In such circumstances YSOs are typically identified by the presence of an infrared excess and classified by color indices that measure the slope of the SED over some limited wavelength range. One problem with such classifications is that degeneracies can arise between protostars and disk dominated (Class II) sources due to unrelated intra-source extinction (e.g., van Kempen et al., 2009; Forbrich et al., 2010) and even disk inclination (e.g., Chiang & Goldreich, 1997). Although the former issue is not likely to be of concern in extended regions of low extinction, the latter issue could lead to significant misclassifications of Stage II sources as protostars (Crapsi et al., 2008) in such regions. Degeneracies can also arise between YSOs and background contaminants such as carbon stars, AGB stars and galaxies; and this effect would be more pronounced in the low extinction regions that are of interest for this paper because such contaminants would not be as easily screened out as in high extinction regions. Given these concerns, a closer examination of low extinction protostars seems warranted.

Perhaps the best region for the investigation of low extinction protostars is the Orion A molecular cloud. Using Spitzer observations, Megeath et al. (2012) conducted a census of YSOs in Orion and classified 329 infrared excess sources as protostars using infrared colors and brightnesses. In general, their color-based method appears to be able to separate protostars from disk dominated YSOs. This is illustrated in Figure 1 which shows that the median SED shape of the Megeath et al. protostars is distinct from that of YSOs they classified as disk dominated objects. Lombardi et al. (2013) used the Megeath catalog, along with extinction maps derived from the 2MASS survey using the NICEST method (Lombardi et al., 2011), to determine a Schmidt-like scaling law, ΣκAKβ\Sigma_{*}\approx\kappa A_{K}^{\beta} (power-law index β\beta, normalization κ\kappa), relating the surface density of protostars to that of the dust in Orion A. They found β\beta = 2.0 indicating a steep non-linear rise of protostellar surface density with extinction. These observations showed that 44 objects, or roughly 13% of the protostellar population identified by Megeath et al. (2012), were located in extended regions of relatively low extinction, below the nominal star formation threshold of AKA_{\rm K} \approx 0.8 magnitudes and 27 objects (or 8%) were located in regions with extinctions << 0.5 magnitudes. In these regions there are roughly 103 objects classified as Class II sources by Megeath et al. (2012) and misclassification of only few % of the Stage II population as Class I objects might account for all the low extinction protostars identified in these low extinction regions. Indeed, analysis of SED models by Crapsi et al. (2008) suggests much higher fractions of Stage II sources can be routinely misclassified as Class I objects.

Refer to caption
Figure 1: Median SEDs of Class 0/I protostellar sources (left) and of disk dominated Class II sources (right) as classified by Megeath et al. (2012). The SEDs are normalized by the average IRAC Band 1-3 Flux. The grey shaded regions represent the 1 σ\sigma dispersion of the data in each panel. The slopes of the median SEDs measured between 282-8 microns are +0.75±0.18+0.75\pm 0.18 and 1.33±0.07-1.33\pm 0.07, respectively. Note that the latter slope is the same to that (-1.33) expected for a flat accretion or reprocessing disk.

In this paper, we re-examine the classification of low extinction protostars from the Megeath et al. catalog using stringent criteria based on SED modeling and informed by spectroscopic and imaging data from the literature. We identify sources that are most likely to be protostars and consider the question of whether they formed in situ at low extinction. In §2, we discuss the sample of low extinction protostars and our data selection criteria for building their SEDs. We also describe our classification criteria. In §3, we present the results of running our sample through our classification scheme and discuss interesting objects and contamination. In §4, we discuss three alternate schemes for explaining the protostars presence at low extinction and describe our conclusions in §5.

2 Methodology

2.1 Source Selection

We use the YSO catalog of Megeath et al. (2012) and the extinction maps from Lombardi et al. (2014) to identify the protostellar candidates that are projected on low (i.e., AK<0.8A_{\rm K}<0.8 mag) extinction regions of the Orion A cloud. Megeath et al. (2012) used Spitzer and 2MASS color-color and color-magnitude diagrams to identify and classify 2818 YSOs in Orion A, of which 329 were classified as candidate protostars. The Herschel-derived extinction maps of Orion have an angular resolution of 3636\arcsec, and are sampled 1515\arcsec intervals. At the distance to Orion (420 pc), 15\arcsec corresponds to approximately 0.03pc{\rm~pc}. For our sample we selected those candidate protostars whose positions were coincident with extinction map pixels characterized by AK<0.8A_{\rm K}<0.8 mag. Of the 329 candidate protostars in Orion A, only 44 are projected on low extinction (i.e., AK<0.8A_{\rm K}<0.8 mag) pixels. We refer to these sources by their index in the Megeath catalog (M#), which is a shorthand for the SIMBAD and virtual observatory compatible nomenclature MGM2012 #. Figure 2 shows the extinction map for the Orion A cloud with the locations of the protostars identified at low extinction.

Refer to caption
Figure 2: Herschel K-band extinction (AKA_{\rm K}) map of Orion A molecular cloud (from Lombardi et al. 2015) with low extinction protostellar candidates from Megeath et al. (2012) overlaid. The black line represents the boundary of Megeath et al. survey region. For the color scale of the extinction map blue corresponds to AK<0.1A_{\rm K}<0.1, gray to 0.1<AK<0.80.1<A_{\rm K}<0.8, and red to AK>0.8A_{\rm K}>0.8. The revised source classifications of this paper are represented by blue stars (confirmed protostars), green triangles (disk dominated sources), yellow squares (galaxies), orange diamonds (fuzz, cloud edges), and magenta circles (unclassified point-like sources).

2.2 Source SEDs

To further refine the Megeath et al. YSO classifications, we compile and examine SEDs (expressed as λFλ\lambda F_{\lambda} vs. λ\lambda) for all 44 low extinction protostars in Orion A and for similarly sized samples of candidate protostars in the high extinction regions of the cloud. We then fit the SEDs with models generated by Robitaille et al. (2006) to re-classify the sources and provide more secure classifications of these objects.

2.2.1 Photometry

SEDs generated from Megeath et al. are not complete in all bands for all sources. Incomplete SEDs make accurate source classification difficult, if not impossible. In order to improve the wavelength coverage of the SEDs, we use the Vizier catalog access tool to add data from WISE (Wright et al., 2010), the UKIDSS Large Area Survey (Lawrence et al., 2007), and SDSS (Ahn et al., 2012). In each catalog we searched for the nearest source with clean photometry that was within 1.21.2\arcsec of the Megeath position. In SDSS we required the photometry to be flagged as clean (q_mode=1) and magnitudes to be above the SDSS zero-flux limit. Any photometry reported with 0 error was treated as bad data and thrown out. In UKIDSS we only selected primary (mode=1) photometry for sources whose profiles were well modeled by a point spread function (cl=-1|-2). For WISE we accept the matched photometry from the ALLWISE Data Release with no further filtering or refinement. We identified one close binary (separation <2<2\arcsec), M845, in SDSS. It is the only source which we resolve into a close binary. We use only the component closest to the original Megeath et al. coordinates and note that M845 is blended in all other bands. Finally, we incorporate recently published Herschel PACS 70µm\micron photometry for 9/44 sources in our sample observed in the Herschel Orion Protostar Survey (HOPS) (Furlan et al., 2016, preprint). Using the data available in the preprint, we estimate the photometric error to be \sim5%.

Of the 44 candidate low extinction protostars 11 had three or fewer data points and consequently SEDs that were not sufficiently complete to enable reliable classification. Upon close examination of the various images, 9 out of 11 of these sources were determined to be false positive identifications, that is they were mostly extended fuzzy, non-stellar cloud structures or edges and were removed from further analysis. The two remaining sources, M0122 (detected in J, 8µm, and 24µm) and M1203 (detected in 8µm and 24µm), were stellar-like and are assigned an ”unknown” classification.

2.2.2 IRS Spectra

We augment the photometric SEDs with publicly available IRS spectra from multiple programs downloaded from the NASA Infrared Science Archive (IRSA). The data is available reduced and calibrated. Calibration errors are evident in some spectra due to offsets between the IRS spectral bandpasses. We do not correct for these since we are only interested in the existence or non-existence of silicate (Si) emission/absorption lines at 9.7µm\micron. Because of the lack of significant foreground extinction, silicate absorption observed toward the low extinction protostellar candidates is likely indicative of an optically thick protostellar envelope. Silicate emission arises from material near the photosphere of a YSO, likely within a circumstellar disk and it is usually only detectable because any intervening material is optically thin (see Crapsi et al., 2008). The Si feature is discussed more in §3.1.3.

2.3 SED Model Fits and YSO Classification

2.3.1 SED Fitting Procedure

To refine the color-based classifications of Megeath et al., we employ model fits to the source SEDs to derive certain physical parameters (described below) that enable us to assess the relative importance of circumstellar envelopes and disks around each object. We fit the source SEDs using the library of models from Robitaille et al. (2006) which are based on the YSO model developed by Whitney et al. (2003). This library consists of 2×1052\times 10^{5} models computed by first assuming a given structure for the envelope and disk and the properties of dust and then by varying 14 physical parameters to produce a set of 20,000 physical models sampled at 10 different viewing angles. The 14 parameters that are varied over a large, astrophysically motivated, range of values include the accretion rate, radius, and opening angle of the envelope, the inner and outer radii, scale height, and flaring of the disk, and the mass, radius, and temperature of the central star, etc. We employ the sedfitter111https://github.com/astrofrog/sedfitter Python module based on Robitaille et al. (2007) to perform the fits. For fitting low extinction sources we allowed the foreground extinction to vary from zero to the extinction value of the Herschel pixel for every source and the distance to vary between 390-450 pc. The distance range is based on the various distances for Orion quoted in the literature (e.g., Menten et al., 2007; Schlafly et al., 2014). We adopt a distance of 420 pc for calculations done in this paper. The fitter fits all 2×1052\times 10^{5} models within these ranges of extinctions and log-spaced distances and selects the (AV,logdkpc)(A_{\rm V},\log{d_{kpc}}) pair with the lowest χ2\chi^{2} for each model.

We use those fits with

Δχscaled2(χ2χbest2)/χbest21\Delta\chi^{2}_{scaled}\equiv\nicefrac{{\left(\chi^{2}-\chi^{2}_{best}\right)}}{{\chi^{2}_{best}}}\leq 1

to select the models which are consistent at the 2σ\sim\!2\sigma level with the data. Δχscaled2\Delta\chi^{2}_{scaled} effectively scales up the errors by a constant value so that the lowest reduced χ2\chi^{2} is 1. We prefer this to setting an arbitrary fractional error or error floor for each band since the relative precision of each band varies depending on the source SED and the background where it is located. We use the χ2\chi^{2} weighted (wi=1/χi2w_{i}=1/\chi_{i}^{2}) median of the fit parameters to determine the values of the physical parameters (i.e., stellar mass, envelope mass, infall rate) that are used to classify a source SED as protostellar.

2.3.2 Protostellar Classification Criteria

We use the concept of evolutionary stages, developed in Robitaille et al. (2007), to construct a definition of what we consider a protostar for the purposes of this study. We use slightly different definitions for the stages than were introduced in Robitaille et al. (2007). Stage I sources are true protostars, with envelope dominated (Class I) SEDs and active infall. Stage II YSOs have have disk dominated SEDs and only a weak or non-existent envelope. Stage III sources are PMS stars with stellar dominated (Class III) SEDs and no circumstellar material. For a protostar we require that the ratio of envelope mass to stellar mass to equal or exceed 0.05, and that the ratio of mass infall rate to stellar mass be equal to or exceed 10-6 yr-1, that is,

Stage I:

M˙env/M106yr1\dot{M}_{env}/M_{\star}\geq 10^{-6}\,{\rm yr^{-1}},
Menv/M>0.05MM_{env}/M_{\star}>0.05M_{\odot}

Stage II/III:

M˙env/M<106yr1\dot{M}_{env}/M_{\star}<10^{-6}~{\rm yr}^{-1},
Menv/M<0.05MM_{env}/M_{\star}<0.05M_{\odot}

At face value these are very conservative criteria, for example protostars surrounded by such small envelopes would be in a very late stage of evolution, having accreted 95% of their final masses. The implied limit on the evolutionary timescale of << 106 yrs is certainly consistent with but on the upper end of current estimates of protostellar lifetimes (2.5-5 ×\times 105 yrs.).

In order to obtain final classifications for the low extinction protostellar candidates we augment the SED fitting results with Spitzer IRS data where available. We derive the final classifications for the low extinction protostellar candidates in Orion A using the following criteria: 1) Sources with IRS spectra are examined for the presence of a silicate emission or absorption feature. We assign a Stage II classification to the sources with Si emission, except in the case that the SED models indicate the source to be a face-on protostellar object, in which case a classification as a protostar is assigned. 2) The remaining sources are given the classifications derived from the SED fits using the criteria described previously. For sources with Herschel 70 µm fluxes, we found that the best fit SEDs consistently overestimated the 70 µm fluxes, in most cases by more than an order of magnitude. Because long wavelengths are so important for constraining envelope properties, before we fit the SEDs of these sources, we upweighted the 70 µm data to ensure that the best fits matched the observed 70 µm fluxes. The resulting classifications are listed in Table Protostars at Low Extinction in Orion A. Table 2 shows the results of the fitting for sources determined to be protostars. Here the columns list the source name, the value of χ2\chi^{2} for the best fit, number of data points in the SED (NdataN_{data}), the number fits that pass Δχscaled2\Delta\chi^{2}_{scaled} << 1 criterion (NfitsN_{fits}), the number of fits classified as protostellar or disks (NPN_{P} or NDN_{D} respectively), and the median values of the ratio of derived envelope mass to stellar mass, the ratio of mass infall rate to stellar mass, and the stellar mass.

3 Analysis and Results

3.1 Validation of SED Criteria

3.1.1 Synthetic YSO SEDs

To determine the performance of the fitter and validate our criteria, we tested them with fake data generated from the Robitaille et al. (2006) models with errors and wavelength coverage driven by the actual data. The error adopted in each band was the median error in that band for the Megeath sources. The synthetic sample consisted of 366 (175 Stage I and 191 Stage II) randomly selected models with parameters spanning nearly the full range of Robitaille’s model grid, set at a distance of 390kpc\rm~kpc. The input models were designated as either Stage I or II using the definitions described earlier. We applied a foreground extinction to each source. Extinctions were drawn from a uniform distribution in AVA_{\rm V} from 0100-10 magnitudes. For each SED, we allowed each photometric point to vary by 3σ3\sigma to simulate likely systematics which exist in the data (e.g., variability, calibration errors). Table 3 presents the results of this experiment as a confusion matrix which shows the number of sources that were originally (row) Stage X and are classified as (column) Y. The row and column totals are shown on the side and bottom, respectively. We find that we correctly classify 86% of synthetic Stage I sources as protostars, and that 86% of objects we classified as protostars were originally true (synthetic) Stage I objects. The fact that these values match is completely coincidental. Furthermore, the original ratio of Stage I to Stage II sources is preserved in the final classifications derived from our methodology.

The individual parameters (e.g., stellar mass, envelope mass, infall rate) derived from both the median and best fits to the synthetic data generally agree with the input values to within factors of 1.5 to 8 with the median values being better constrained. This is in agreement with what was found by Offner et al. (2012) but indicates that the individual source parameters derived from the Robitaille et al. (2007) fitter must be regarded with some caution. However, we note that the derived ratios of these same physical parameters are somewhat more trustworthy, generally being within factors of 3-5 of the true values for both the best and median fits. The level of uncertainties in the individual physical parameters derived from the SED modeling may be of some concern. It is likely that the same parameters derived from the fits to the actual data are even more uncertain than suggested here. The magnitudes of χ2\chi^{2} for the fits to the real data are considerably greater than 1 and this already indicates that the standard models used here may not accurately represent the underlying physical structure of real YSOs. Although the physical parameters derived from model fits are very uncertain, the results in Table 3 indicate that the evolutionary classifications derived from the fitting appear to be reasonably reliable.

Among the 14% of synthetic Stage I sources classified as Stage II or disk dominated objects, the fitted disks were predominantly highly inclined. This was particularly true for sources with lower mass envelopes. The presence of disks with large intrinsic flaring in real observations could also affect derived classifications. Although the Robitaille models select flaring parameters such that disks and protostars would be distinct, some real YSOs might have larger flaring than assumed in the models. However, we expect that disk flaring will only affect the extinction for a short time, as the dust in the disk settles relatively fast compared to the long Class/Stage II lifetime (Lada et al., 2006). Therefore flared disks should account for a only small fraction of real Stage II sources.

3.1.2 Protostellar Candidates Associated with Outflows

Molecular outflows are a relatively short-lived phenomena typically associated with young protostellar systems and are indicators of youth. Outflows allow us to identify extremely young sources independent of their SEDs. Sources M1246, M2393, M2707, and M2748 of the Megeath low extinction protostar candidates have jets or outflows (see corresponding images in Appendix A). Davis et al. (2009) used UKIDSS WFCAM to map H2H_{2} at 2.122µm2.122~\micron to trace molecular outflows and associated each outflow with a protostar from an earlier version of the Megeath catalog by tracing the jets back to their source. The outflows are labeled DFS#. Sources M1246 and M2393 are associated with H2H_{2} outflows DFS112 and DFS102 respectively. In archival data from the Hubble Legacy Archive (HLA), a jet and terminating shock of at least 11\arcmin in length is visible for M2707 with Hubble’s F656N filter. A bipolar jet associated with M2748 is visible in images from the VISTA Vienna Survey in Orion (VISION222Available from: http://homepage.univie.ac.at/stefan.meingast/vision.html, Meingast et al., 2016). Each side of the outflow has a length of 20\sim 20\arcsec (.05 pc projected physical length). Three out of these four sources were identified as protostars by our SED fitting analysis. The fourth, M1246 failed a protostellar classification due to too low an envelope mass derived from the SED fitting. Since, flat spectrum, disk dominated sources can drive jets, we retain the Stage II classification for this source. However, the criteria we used to define protostars captured 3 of these 4 outflow sources, providing some additional validation of our procedure. As we discussed earlier, the absolute values of the individual physical parameters returned by the SED fits are highly uncertain, in some cases uncertainties reach an order of magnitude. Although, we note that if, as a definition for a protostar, we used the higher ratio of envelope to stellar mass of 0.1, only two outflow sources would have passed the protostellar selection filter.

3.1.3 Protostellar Candidates with Si Emission Features

When available, 9-20 μ\mum spectra spanning the solid silicate dust features are very useful for distinguishing between Stage I and II objects (Crapsi et al., 2008). In particular, Si emission is known to arise in the inner regions of circumstellar disks where dust temperatures are high, whereas Si absorption arises in much colder circumstellar envelopes as well as in cold foreground, but unrelated, dusty material. Therefore, we assume here that the 9.7 μ\mum Si emission arises from a circumstellar disk while absorption arises mostly from the protostellar envelope. This latter assumption is particularly appropriate for low extinction sources as those studied here. The presence of Si emission does not necessarily disqualify a source as a protostar. For example, when a protostar is observed with its outflow cavity along the line-of-sight, the circumstellar accretion disk and its Si emission feature are directly viewable. It may also be possible that in some circumstances the optical depth in the envelope is not sufficient to cancel and reverse the underlying emission feature from the disk. Nine protostellar candidates, M333, M632, M845, M892, M931, M1005, M1474, M2255 and M2561 were found to exhibit Si emission in their IRS spectra. Eight of these (M845, M632 M892, M931, M1005, M1474,M2255, M2561) were classified as Stage II sources as a result of our SED analysis and the presence of Si emission confirms our identifications. The Si emission in the SED of M333 is effectively modeled with a face-on Stage I protostar. Since the model fits for this source are also consistent with the IRS spectra, our classification of M333 as a protostar is retained.

3.1.4 Protostellar Candidates with Optical Emission Lines

Four of the low extinction protostellar candidates in the Megeath catalog were spectroscopically classified as emission-line, PMS stars (i.e., T Tauri stars or CTTS) by Fang et al. (2013). Three of these sources – M632, M845, and M892 are classified as Stage II sources by the SED analysis of this paper, consistent with the optical classifications. One other, M333, was classified as a protostar by our SED analysis and as a flat spectrum source by Fang et al. (2013), essentially consistent with our results. It is important to note that at short (i.e., optical and near-infrared) wavelengths CTTSs are not always distinguishable from young face-on protostars. Protostars are essentially actively accreting CTTS surrounded by an infalling envelope and if they have an outflow cavity directed along our line-of-sight, direct near-infrared and optical spectroscopy of the central, CTTS-like, photosphere is possible. Indeed, as mentioned above, we found the SED of source M333 to be best fit by a face-on protostellar model enabling both infrared Si and optical emission lines to be detected. The overall agreement of the optical spectroscopy with our assigned classes provides additional evidence in support of our method of classification.

3.1.5 Foreground and extragalactic contaminants

Since star-forming galaxies and AGN are isotropically distributed and have colors matching YSOs, they are an ever present source of contamination. Megeath et al. (2012) predict 1.5±1.51.5\pm 1.5 contaminating objects/deg2 misidentified as protostars. Orion has 66 square degrees (320pc2\sim 320\rm\ pc^{2}) within the Megeath survey region below 0.8 mag AKA_{\rm K}, which means we would expect 9±99\pm 9 extragalactic or field/foreground sources contaminating our list. We find four galaxy contaminants, M623, M742, M1283, and M2255. To identify galaxies, we examined their SEDs, images from the VISION survey, and their IRS spectra where available. The image of source M623 shows two overlapping extended red objects, one of which is an elongated ellipsoid. If this were a disk, it would be seen as a shadow against scattered light instead of in emission as it is. In addition, the absorption feature we note at 9.7μm\mu m is very narrow and imposed on a straight, rising spectrum that shows PAH emission and is similar to other galaxy spectra (e.g. Brandl et al. (2006)). The spectra of M1283 and M623 are nearly identical. M2255 shows emission at 9.7µm\micron and is also very flat and rising. The PAH and other galaxy features are weaker than in M623 and M1283, but are still apparent. M742 has an SED which is not rising steeply enough for it to classified as Class I source and it is classified as Stage II by the fitting criteria but it is not particularly well fit by the Robitaille et al. (2006) models. In the VISTA images, it is extended and asymmetric. If this were a face-on disk at the distance to Orion, it would be about 800 AU in extent (in scattered light) and its SED would appear more stellar-like than it does at short wavelengths. For these reasons, it is classified as a galaxy. M1005 is identified as a galaxy by the HOPs team Furlan et al. (2016), however Furlan et al. (2016) note that it could be a so-called transition disk, which is consistent with our classification as a Stage II YSO.

3.2 The Low Extinction Protostellar Population

As summarized in Tables Protostars at Low Extinction in Orion A and 4, we find that out of 44 candidate low extinction protostars 10 (23%) are classified as protostars by our more restrictive classification criteria, while 18 (41%) are Stage II/Class II sources, including three of four previously classified as CTTS. Additionally we find that 9 (20%) are extended nebulous regions and cloud edges misidentified as stellar-like sources. Four (9%) of the sources we suspect of being extragalactic contaminants. Finally, there are 3 (7%) sources which remain unclassified. We ran the same analysis on all 285 high extinction (AK>0.8A_{\rm K}>0.8 mag) candidate protostars in the Megeath catalog as a test of our criteria. Only 4% (11) of the 285 protostellar candidates at high extinction had too little data to enable classification by our criteria. By selecting 10510^{5} random draws of 44 sources from the sample of 274 we could classify, we find that for a given draw we classify 50±7%50\pm 7\% of the sources as protostars, and the rest as Stage II, by our stringent criteria. Our result is consistent with other studies that use methods other than color and spectral indices to classify YSOs in other star forming regions. For example, using a classification scheme similar to ours, Forbrich et al. (2010) reclassified 20%20\% of protostellar sources in NGC 2264 from Class 0/I to Stage II. van Kempen et al. (2009) studied Class I objects in Ophiuchus with molecular line and submillimeter continuum observations and reclassified 23/45 (51%) of the sources with Class I SEDs as edge-on disks. Of the 41 protostellar candidate sources in low extinction regions that we were able to classify 10 (24%) appear to be likely true protostars. This perhaps could be considered as a lower-limit to the actual population at low extinction since we have not included possible protostellar objects that may have been misclassified as Class II objects by Megeath et al. However, we expect the numbers of such objects to be small since, as can be inferred from Figure 1(b), the Megeath et al. criteria for Class II/III sources appears to very effectively screen out Stage I objects with protostellar (Class I) SEDs. However, the converse, that the Megeath et al. criteria for Class I sources effectively screen out Stages II objects, is clearly not true.

In terms of spatial distribution, most (90%) of the confirmed low extinction protostars are located around the integral shaped filament in the Orion Nebula. This is higher than the fraction (70%) of all the Megeath et al. candidate low extinction protostars also located in the same region. Figure 3 shows this region and the locations of the confirmed and candidate low extinction protostars within it. Only one confirmed protostar is found in the vast area of low extinction within the cloud but outside this region (see Fig. 2).

Refer to caption
Figure 3: Herschel K-band extinction (AKA_{\rm K}) map of the Integral Shaped Filament (ISF) in Orion A with low extinction sources overlaid. The insert shows the extinction map of the Bok globule B68 overlaid on the Herschel map. It is clear that a dense core with a similar mass (\sim 1-2 MM_{\odot}) and size would easily be detected in the low extinction (grey) regions of the Herschel map. The thick black lines represent the boundaries of the Megeath et al. (2012) survey region. Otherwise same as Figure 2.

3.3 Protostellar Impostors but Still Quite Young

In Figure 4, we separated the Megeath et al. candidate low extinction protostars into confirmed protostars and disk dominated YSOs, as we classify them. The shape of the median protostellar SED matches both general expectations for Class 0/I sources as well as the shape of the median SED for all Megeath protostars in Orion A (Figure 1). However, the candidate protostars we reclassified as Stage II sources still exhibit SED shapes more similar to Class I protostellar objects than to Class II objects (e.g., Figure 1). This likely indicates that this group of Stage II objects represents an extremely young population of disk dominated YSOs which still are associated with material from either remnant circumstellar envelopes or highly flared disks. Indeed, most of these sources are flat spectrum sources which are often considered to be sources in the very late stages of protostellar evolution in transition to the Class II phase (e.g., Greene et al., 1994). From examination Megeath et al.’s measurements of the 2-8 micron SED slopes (αIRAC\alpha_{IRAC}) of low extinction sources, we find only 3% (29 of 962 sources with measured slopes) of their class II objects to be flat spectrum sources (i.e., -0.3 \leq αIRAC\alpha_{IRAC} \leq ++0.3). Including the objects we reclassified to Stage II, we estimate that less than about 5% of the Stage II objects at low extinction in the Orion A cloud are in this flat-spectrum category, confirming the notion that these sources, though not true protostars, are likely still extremely young. If the typical Stage II lifetime is \sim 2 Myr, then the flat spectrum phase of Stage II evolution has a duration of only about 105 yrs., emphasizing the extreme youth of such objects.

Refer to caption
Figure 4: Median spectral energy distribution of sources we have classified as protostars (left) and disk-dominated Stage II objects (right) at low extinction. The red trace shows the corresponding median SEDs from Figure 1. The spectral slopes from 2-8 microns are 0.21±0.20.21\pm 0.2 and 0.19±0.130.19\pm 0.13 for the protostar and disk median SEDs respectively. The median SED of reclassified protostars (right) differs significantly from the the median SED of Class II sources in Orion suggesting the reclassified sources are Stage II sources which are likely extremely young (see text, §3.3).

Finally, we note the intriguing result that the slope we determine for the median SED of the entire Megeath et al. Class II population in Orion A (Figure 1b) has a value of -1.33. This is surprising as it is the same as that expected for a spatially flat, classical accretion (or reprocessing) disk, although the nearly exact agreement is likely coincidental. The relatively steep slope we measure suggests a high degree of dust settling has occurred in a significant fraction of the disk sources in the Orion A cloud. This finding is similar to that obtained in an earlier study of the disk population of the IC 348 cluster (Lada et al., 2006) and emphasizes the already well known fact that disk evolutionary timescales are relatively short compared to the PMS timescales of low mass stars (e.g., Haisch et al., 2001).

4 Discussion

With 10 confirmed protostars in low column density gas, we now consider the interesting question of why they are found at low extinction. Is it possible for stars to form in situ in such an environment or are there other reasons for their presence in low extinction regions? We discuss here possible scenarios to explain their presence in low extinction gas.

4.1 In Situ Formation

Observational and theoretical considerations have long suggested that low mass (i.e., 1-5 MM_{\odot}) dense cores are the sites of formation of individual low mass stars (e.g., Beichman et al., 1986; Shu et al., 1987; Yun & Clemens, 1990) while more massive (20-2000 MM_{\odot}) dense cores are the formation sites of stellar groups and clusters (Lada, 1992). If the low extinction protostars we have identified in Orion were formed close to their present positions, we might expect them to be physically associated with small, relatively isolated, dense cores within an otherwise more extended, low extinction portion of the cloud. Given the distance of Orion and the resolution of our Herschel maps, could we detect such a dense low mass core in the Herschel data? To address this question consider the well studied starless dark core, B68. It probably represents the lowest mass dense core that would surround an isolated protostar. It is a well defined and isolated Bok globule with a mass of 2.1M2.1\ M_{\odot} and a 12500AU12500\rm\ AU radius (Alves et al., 2001). At the distance of Orion (420pc{\rm~pc}), B68 would have an angular diameter of 50\sim 50\arcsec, so it would be resolved at the Herschel extinction map resolution of 3636\arcsec. To illustrate how B68 would appear when located within the Orion molecular cloud, we convolved the infrared extinction map of B68 from the survey of Román-Zúñiga et al. (2010) with the Herschel beam, regridded it to the Herschel extinction map of Orion and placed it in Figure 3. As can be seen, B68 would be readily detectable, displaying a peak extinction of AK=1.5A_{\rm K}=1.5 mags. At R=30R=30\arcsec the extinction drops to 0.5AK\sim 0.5A_{\rm K}. Clearly none of our protostars are currently within cores such as B68. Because a core which recently formed a protostar would be characterized by even higher peak extinctions than B68, we must conclude that the low extinction protostellar objects are orphan protostars that have lost their original cores either because they were formed elsewhere in high extinction regions and migrated to their present positions or because through the course of their evolution have had their surrounding cores removed or dissipated in place.

4.2 Source Migration/Ejection

Direct measurements of core and protostellar kinematics have suggested that embedded protostars remain closely associated with dense cores during their lifetimes. Covey et al. (2006) derived an upper limit (1.8kms1\lesssim 1.8{\rm~km~s^{-1}}) to the protostellar velocity dispersion from spectroscopic observations of protostars in several nearby clouds. This upper limit was comparable to the observed velocity dispersion of CO in these clouds indicating that the protostars were still dynamically coupled to at the least the bulk gas in the clouds. However, this dispersion is higher than the typical trans-sonic velocity dispersions (0.330.55kms1\sim 0.33-0.55{\rm~km~s^{-1}}) measured for dense cores in local clouds (e.g., Muench et al. (2007); Kirk et al. (2010)). Although the difference between the upper bounds on the protostellar dispersion and the measured core velocity dispersions could be consistent with the presence protostellar migration, it is unclear how significant this difference really is. Because the measured protostellar velocity dispersion can be mostly accounted for by systematic uncertainties, the true value is likely much smaller (Covey et al., 2006). Therefore it seems reasonable to conclude that the velocity dispersion of protostars is similar to that of their host cores and that during their lifetimes most protostars do not drift much beyond their parental cores. A limit on protostellar motions in Orion A has been estimated by Lombardi et al. (2014) using a Bayesian technique. Lombardi et al. model the relation between the surface densities of protostars and dust and simultaneously fit for a number of parameters including a spatial diffusion coefficient (σ\sigma) for protostars using the Megeath catalog and Herschel-derived extinction maps. They determine σ=0.0088±0.0049pc\sigma=0.0088\pm 0.0049{\rm~pc}. Such a small σ\sigma suggests that on average there is not significant migration of the protostellar population in Orion. This is perhaps consistent with our finding that roughly 90% of the protostars in Orion are presently within the highest extinction regions of the cloud.

Nonetheless it is possible that the during their lifetimes the low extinction protostars in Orion have moved from their birth sites in the high extinction regions of the cloud. To help assess the feasibility of this scenario, we estimate the velocities required for each protostar to reach the nearest high extinction region within an average protostellar lifetime of 2×1052\times 10^{5}yr. We determine what velocity is required for our objects to migrate to their current locations from the 0.50.5 and 0.80.8 AKA_{\rm K} extinction contours. The projected physical distances from the nearest 0.8AK0.8A_{\rm K} and 0.5AK0.5A_{\rm K} contours, and corresponding velocity estimates are listed in Table 5. The predicted velocities range from 0.728.1kms10.72-8.1{\rm~km~s^{-1}} for v8v_{8} and 0.010.88kms10.01-0.88{\rm~km~s^{-1}} for v5v_{5}.

As noted earlier, (see Figure 3) the bulk of the low extinction protostars are located near the so-called integral filament. This is also the region where most of the stars in the cloud, including the Trapezium cluster, have formed. Simulations have suggested that dynamical interactions between stars in a forming cluster can result in ejection of a small fraction of the cluster stars (Bate et al., 2003). The simulations show that ejected stars can reach velocities up to 1kms1\sim 1{\rm~km~s^{-1}} and travel distances of 0.2pc{\rm~pc} in two hundred thousand years (Bate et al., 2003). This is much smaller than the projected distances of the low extinction protostars from the center of the Trapezium cluster (2 - 20 pc). To reach the observed locations of the low extinction protostars from the Trapezium cluster, ejection velocities between 10-50 kms1{\rm~km~s^{-1}} would be required. Ejection from the cluster is therefore a highly unlikely cause of the presence of these protostars at low extinction. Although migration due to dynamical ejection from the cluster seems highly improbable, only direct measurements of the protostellar velocities will ultimately determine whether such a process has occurred in Orion.

Recently, Stutz & Gould (2016) have argued that once a protostar has accreted a substantial fraction of its final mass it can kinematically decouple from the dense material in which it formed. They posit that bulk motions of the dense gaseous filaments (which contain the protostellar cores) can leave the decoupled protostars behind with relative velocities as high as 2.5 kms1{\rm~km~s^{-1}}. Stutz & Gould (2016) further posit that such large ejection velocities might explain the larger velocity dispersion of Class II sources compared to that of protostellar cores in Orion. However, recent observations described by Hacar et al. (2016) suggest such velocity dispersions of Class II sources may inherently overestimate any real protostar-core velocity drift because these dispersions may represent averages over multiple, individually coherent velocity structures (e.g., strings or filaments) along the line-of-sight. Nonetheless, such ejection of protostars as suggested by Stutz & Gould (2016) would ultimately and rapidly quench accretion of material onto the protostellar surface since the protostar would be removed from the gas supply of its parental core. In the earliest stages of such an ejection process the protostars might resemble those we observe in the low extinction regions, that is, coreless protostars with low accretion luminosities and envelope to stellar mass fractions. However, whether this is truly a viable mechanism to explain the existence of the low extinction protostars in Orion remains to be seen. Measurements of proper motions with Gaia along with direct radial velocity measurements of these particular sources will provide more stringent tests of this idea.

4.3 Excavation: Evolution In Place

Protostellar outflows have the ability to significantly affect the local environment in a giant molecular cloud (Frank et al., 2014). The outflow creates an outflow-blown cavity which expands in the cloud. The smooth expansion is disrupted by the turbulence remaining in the cloud, transferring energy from the outflow to the cloud (Matzner, 2007; Cunningham et al., 2009; Quillen et al., 2005; Arce et al., 2010). While the outflow is often not energetic enough to unbind the cloud, it does inject enough turbulence into the cloud to provide some support against collapse (Carroll et al., 2009; Matzner, 2007). In NGC 1333 the contribution of outflows alone is believed to be enough to maintain the turbulence and prevent further collapse (Plunkett et al., 2013; Matzner, 2007). If this process occurs at the edge of a cloud, where the density in steadily decreasing, it’s not hard to imagine that bipolar jets could carve out a cavity and disperse the gas since it is less bound than in the densest portions of the cloud where the Plunkett et al. (2013) and Matzner (2007) studies apply.

The environments around M1246 and M2393 are suggestive of possible cloud excavation by jets. Both of these sources have outflows about .3 pc in length identified by Davis et al. (2009). The dust morphology around M2393 morphology is suggestive of a cavity (Fig. A.6). The cavity lies along the axis of the outflow on the opposite side of protostar. The jet from M1246 goes through a gap in the filamentary structure to its galactic north east (Fig. A.2). M2748 is located in a large structure reminiscent of a core. If this were a core that was disrupted, given the surface density of the material, only material within 0.1 pc with AK>0.35A_{\rm K}>0.35, in the bowtie shaped structure (Fig. A.11) around the protostar, would be required to make a core as massive as B68. Two other low extinction protostars, M2707 and M2393 have outflows but no obvious evidence for cavities or interaction with surrounding material in the Herschel images, although M2707 is close to the edge of a dense core-like structure. The remaining five low extinction protostars apparently do not have outflows at present. Nonetheless the sources could be sufficiently evolved that outflow activity has declined to the point that any jets present are not so easily detectable, or they may undergo episodic accretion (e.g., Dunham et al., 2010) and be in a quiescent state.

In an interesting recent study of the YSO population in the main core of the Rosette Molecular Cloud (RMC), Ybarra et al. (2013) found that the level of extinction toward a YSO appears to be systematically correlated with its estimated age. Specifically, Ybarra et al. (2013) showed that the extinction, AKA_{\rm K}, toward the YSOs in the RMC cloud decreased at an average rate of 0.5magMyr10.5~\rm mag~Myr^{-1}. Ybarra et al. suggest that this is the combined effect of the initial star formation event being spread throughout the nebula and of the rapid removal of gas from around the individual objects. On the Class I timescale (2×1052\times 10^{5}yr), AKA_{\rm K} would be expected to change by 0.1 mag. If such a process were at work in Orion this would place sources M0333, M0892, M2561, and M2748 close to AK0.8A_{\rm K}\sim 0.8 mag at the time of their formation, assuming that they were all in the late stages of protostellar evolution. This evolution could be driven by either migration or local excavation of surrounding gas.

5 Conclusion

We find that 24% of the candidate low extinction (AK<0.8A_{\rm K}<0.8 mags) protostars from Megeath et al. (2012) are confirmed as protostars according to our more stringent criteria. At high extinction, where we might expect the existing classifications to be better, we find >50%>50\% of the Megeath et al. Class 0/I sources pass our protostellar criteria. The rate is much lower at low extinction, suggesting that there is a real increase in the fraction of incorrectly identified protostars at low extinction in the Megeath et al. catalog. We find that while simple color selection criteria may be adequate for describing statistically large samples of YSOs, they are not always able to distinguish Stage I (protostellar) from Stage II (disk) sources with flat or Class I SEDs. More accurate determination of the evolutionary stage of a source requires SED modeling with long wavelength data that can better probe the infalling envelope.

Although SED modeling can be an effective tool for classifying protostellar sources, we find that the individual physical parameters (envelope mass, accretion rate, stellar mass, etc.) determined by SED-fitting can be very uncertain and should be treated with appropriate caution. Derived ratios between certain parameters may be somewhat more reliable. Near-infrared spectroscopy (Lada & Wilking, 1984; Greene & Lada, 1996; Furlan et al., 2008; Forbrich et al., 2010) and submillimeter, molecular-line observations (van Kempen et al., 2009; Crapsi et al., 2008) would be extremely useful for a more confident verification of a source’s status as a protostellar object.

We find that none of the low extinction protostars in the Orion A cloud are presently embedded in solar mass dense cores that are typically associated with low mass star formation. However, the confirmed low extinction protostars do not necessarily have to be formed in situ from low extinction material, although this possibility cannot be firmly excluded by existing data. Instead, we posit that these protostars are orphans that have lost their original parental cores either via migration/ejection from higher density regions or through dissipation due to evolutionary processes such as outflow activity and accretion of original material onto the star. Given the short protostellar lifetimes, it seems highly unlikely that migration or ejection from existing high extinction regions can account for the low extinction protostars, at least for the majority of cases. Excavation due to the actions of outflows may be the most viable option for explaining the presence of these objects in extended regions of low extinction gas and dust. The lack of direct evidence for outflow activity in 5 of the 9 confirmed protostars is somewhat troublesome but may indicate that these objects either experience episodic accretion, and are in a quiescent state, or are in a late stage of protostellar evolution.

Additionally we note that the presence of orphan protostars projected on low extinction gas does not necessarily preclude the existence of an extinction threshold for star formation. The precise location of that threshold is still somewhat uncertain but probably lies above 0.5-0.8 magnitudes of K-band extinction. Even with our more stringent classification criteria we estimate that 93% and 95% of all protostars are located in regions with AK >> 0.8 and 0.5 magnitudes, respectively. Furthermore from the fact that the gaseous masses in the Orion cloud are roughly 1.32 ×\times 104 and 5.44 ×\times 104 MM_{\odot} respectively above and below the extinction threshold of 0.8 magnitudes, we find the corresponding efficiencies of protostar formation to be 1.8 ×\times 10-4 and 1.0 ×\times 10-2 protostars M1M_{\odot}^{-1}, respectively. That is, in Orion A the yield of protostars per unit cloud mass is approximately 58 times higher in regions above 0.8 magnitudes of extinction than in regions below.

Finally, we note that although our more restrictive classification criteria found only 36% (10/28) of the viable Megeath et al. protostellar candidates to be protostars, the remaining objects, though now designated as Stage II objects, still do not have colors or SED signatures that are typical of most known Class II sources. Our newly classified Stage II sources have mostly flat-spectrum SEDs and are likely in the very earliest phases of Stage II/PMS evolution and therefore are still relatively young objects.

Acknowledgments
We thank Stefan Meingast and João Alves for the VISTA VISION survey images, Marco Lombardi for the Herschel data and Josefa Großschedl for very useful discussions. We thank the anonymous referee for comments and criticisms that greatly improved the quality of this paper. JAL acknowledges useful discussions with Phil Cowperthwaite, Dawn Graninger, Alyssa Goodman, John Johnson, Karin Öberg, and Ryan Loomis. JAL was funded by the Harvard Graduate Student Fellowship, the Dick Smith Family Fellowship administered by Harvard University, and a NSF Graduate Student Research Fellowship. This research has made use of NASA’s Astrophysics Data System; the NASA/IPAC Infrared Science Archive; the VizieR catalogue access tool, CDS, Strasbourg, France; Astropy, a community-developed core Python package for Astronomy (Astropy Collaboration et al., 2013); and APLpy, an open-source plotting package for Python hosted at http://aplpy.github.com.

References

  • Adams et al. (1987) Adams, F. C., Lada, C. J., & Shu, F. H. 1987, ApJ, 312, 788
  • Ahn et al. (2012) Ahn, C. P., Alexandroff, R., Allende Prieto, C., et al. 2012, ApJS, 203, 21
  • Andre et al. (1993) Andre, P., Ward-Thompson, D., & Barsony, M. 1993, ApJ, 406, 122
  • Alves et al. (2001) Alves, J. F., Lada, C. J., & Lada, E. A. 2001, Nature, 409, 159
  • Arce et al. (2010) Arce, H. G., Borkin, M. A., Goodman, A. A., Pineda, J. E., & Halle, M. W. 2010, ApJ, 715, 1170
  • Astropy Collaboration et al. (2013) Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33
  • Bate et al. (2003) Bate, M. R., Bonnell, I. A., & Bromm, V. 2003, MNRAS, 339, 577
  • Beichman et al. (1986) Beichman, C. A., Myers, P. C., Emerson, J. P., et al. 1986, ApJ, 307, 337
  • Brandl et al. (2006) Brandl, B. R., Bernard-Salas, J., Spoon, H. W. W., et al. 2006, ApJ, 653, 1129
  • Carroll et al. (2009) Carroll, J. J., Frank, A., Blackman, E. G., Cunningham, A. J., & Quillen, A. C. 2009, ApJ, 695, 1376
  • Chiang & Goldreich (1997) Chiang, E. I., & Goldreich, P. 1997, ApJ, 490, 368
  • Covey et al. (2006) Covey, K. R., Greene, T. P., Doppmann, G. W., & Lada, C. J. 2006, AJ, 131, 512
  • Crapsi et al. (2008) Crapsi, A., van Dishoeck, E. F., Hogerheijde, M. R., Pontoppidan, K. M., & Dullemond, C. P. 2008, A&A, 486, 245
  • Cunningham et al. (2009) Cunningham, A. J., Frank, A., Carroll, J., Blackman, E. G., & Quillen, A. C. 2009, ApJ, 692, 816
  • Davis et al. (2009) Davis, C. J., Froebrich, D., Stanke, T., et al. 2009, A&A, 496, 153
  • Dunham et al. (2010) Dunham, M. M., Evans, N. J., II, Terebey, S., Dullemond, C. P., & Young, C. H. 2010, ApJ, 710, 470
  • Evans et al. (2014) Evans, N. J., II, Heiderman, A., & Vutisalchavakul, N. 2014, ApJ, 782, 114
  • Fang et al. (2009) Fang, M., van Boekel, R., Wang, W., et al. 2009, A&A, 504, 461
  • Fang et al. (2013) Fang, M., Kim, J. S., van Boekel, R., et al. 2013, ApJS, 207, 5
  • Forbrich et al. (2010) Forbrich, J., Tappe, A., Robitaille, T., et al. 2010, ApJ, 716, 1453
  • Frank et al. (2014) Frank, A., Ray, T. P., Cabrit, S., et al. 2014, Protostars and Planets VI, 451
  • Frimann et al. (2016) Frimann, S., Jørgensen, J. K., & Haugbølle, T. 2016, A&A, 587, A59
  • Furlan et al. (2016) Furlan, E., Fischer, W. J., Ali, B., et al. 2016, arXiv:1602.07314
  • Furlan et al. (2008) Furlan, E., McClure, M., Calvet, N., et al. 2008, ApJS, 176, 184
  • Greene et al. (1994) Greene, T. P., Wilking, B. A., Andre, P., Young, E. T., & Lada, C. J. 1994, ApJ, 434, 614
  • Greene & Lada (1996) Greene, T. P., & Lada, C. J. 1996, AJ, 112, 2184
  • Gutermuth et al. (2011) Gutermuth, R. A., Pipher, J. L., Megeath, S. T., et al. 2011, ApJ, 739, 84
  • Hacar et al. (2016) Hacar, A., Alves, J., Forbrich, J., et al. 2016, arXiv:1602.01854
  • Haisch et al. (2001) Haisch, K. E., Jr., Lada, E. A., & Lada, C. J. 2001, ApJ, 553, L153
  • Heiderman et al. (2010) Heiderman, A., Evans, N. J., II, Allen, L. E., Huard, T., & Heyer, M. 2010, ApJ, 723, 1019
  • Hsu et al. (2012) Hsu, W.-H., Hartmann, L., Allen, L., et al. 2012, ApJ, 752, 59
  • Johnstone et al. (2004) Johnstone, D., Di Francesco, J., & Kirk, H. 2004, ApJ, 611, L45
  • Kirk et al. (2010) Kirk, H., Pineda, J. E., Johnstone, D., & Goodman, A. 2010, ApJ, 723, 457
  • Lada & Wilking (1984) Lada, C. J., & Wilking, B. A. 1984, ApJ, 287, 610
  • Lada (1987) Lada, C. J. 1987, Star Forming Regions, 115, 1
  • Lada et al. (2006) Lada, C. J., Muench, A. A., Luhman, K. L., et al. 2006, AJ, 131, 1574
  • Lada et al. (2010) Lada, C. J., Lombardi, M., & Alves, J. F. 2010, ApJ, 724, 687
  • Lada et al. (2013) Lada, C. J., Lombardi, M., Roman-Zuniga, C., Forbrich, J., & Alves, J. F. 2013, ApJ, 778, 133
  • Lada (1992) Lada, E. A. 1992, ApJ, 393, L25
  • Lawrence et al. (2007) Lawrence, A., Warren, S. J., Almaini, O., et al. 2007, MNRAS, 379, 1599
  • Lombardi et al. (2011) Lombardi, M., Alves, J., & Lada, C. J. 2011, A&A, 535, AA16
  • Lombardi et al. (2013) Lombardi, M., Lada, C. J., & Alves, J. 2013, A&A, 559, AA90
  • Lombardi et al. (2014) Lombardi, M., Bouy, H., Alves, J., & Lada, C. J. 2014, A&A, 566, AA45
  • Matzner (2007) Matzner, C. D. 2007, ApJ, 659, 1394
  • Megeath et al. (2012) Megeath, S. T., Gutermuth, R., Muzerolle, J., et al. 2012, AJ, 144, 192
  • Meingast et al. (2016) Meingast, S., Alves, J., Mardones, D., et al. 2016, A&A, 587, A153
  • Menten et al. (2007) Menten, K. M., Reid, M. J., Forbrich, J., & Brunthaler, A. 2007, A&A, 474, 515
  • Muench et al. (2007) Muench, A. A., Lada, C. J., Rathborne, J. M., Alves, J. F., & Lombardi, M. 2007, ApJ, 671, 1820
  • Offner et al. (2012) Offner, S. S. R., Robitaille, T. P., Hansen, C. E., McKee, C. F., & Klein, R. I. 2012, ApJ, 753, 98
  • Plunkett et al. (2013) Plunkett, A. L., Arce, H. G., Corder, S. A., et al. 2013, ApJ, 774, 22
  • Quillen et al. (2005) Quillen, A. C., Thorndike, S. L., Cunningham, A., et al. 2005, ApJ, 632, 941
  • Robitaille et al. (2006) Robitaille, T. P., Whitney, B. A., Indebetouw, R., Wood, K., & Denzmore, P. 2006, ApJS, 167, 256
  • Robitaille et al. (2007) Robitaille, T. P., Whitney, B. A., Indebetouw, R., & Wood, K. 2007, ApJS, 169, 328
  • Román-Zúñiga et al. (2010) Román-Zúñiga, C. G., Alves, J. F., Lada, C. J., & Lombardi, M. 2010, ApJ, 725, 2232
  • Schlafly et al. (2014) Schlafly, E. F., Green, G., Finkbeiner, D. P., et al. 2014, ApJ, 786, 29
  • Shu et al. (1987) Shu, F. H., Adams, F. C., & Lizano, S. 1987, ARA&A, 25, 23
  • Stutz & Gould (2016) Stutz, A. M., & Gould, A. 2015, arXiv:1512.04944
  • van Kempen et al. (2009) van Kempen, T. A., van Dishoeck, E. F., Salter, D. M., et al. 2009, A&A, 498, 167
  • Whitney et al. (2003) Whitney, B. A., Wood, K., Bjorkman, J. E., & Wolff, M. J. 2003, ApJ, 591, 1049
  • Wright et al. (2010) Wright, E. L., Eisenhardt, P. R. M., Mainzer, A. K., et al. 2010, AJ, 140, 1868
  • Ybarra et al. (2013) Ybarra, J. E., Lada, E. A., Román-Zúñiga, C. G., et al. 2013, ApJ, 769, 140
  • Yun & Clemens (1990) Yun, J. L., & Clemens, D. P. 1990, ApJ, 365, L73
Table 1: Low AKA_{\rm K} Source Classification
Source ID AKA_{\rm K}(err) Si feature Classification Notes HOPS ID(4){}^{\text{(4)}} HOPS Class(4){}^{\text{(4)}} Ref
0125 0.53 (0.02) Stage II
0200 0.56 (0.02) Stage II
0333 0.71 (0.02) Emission Protostar CTTS HOP-230 Flat 2
0564 0.12 (0.01) Stage II
0623 0.73 (0.04) Absorption Galaxy HOP-161 Galaxy
0632 0.23 (0.01) Emission Stage II CTTS, Transition Disk HOP-126 Flat 2
0730 0.08 (0.01) Stage II
0740 0.40 (0.01) Absorption Stage II WTTS HOP-147 Flat 2b
0742 0.10 (0.02) Galaxy
0845 0.72 (0.03) Emission Stage II CTTS ; Binary HOP-170 Flat 3 ; HST
0892 0.66 (0.02) Emission Stage II CTTS HOP-199 Flat 2
0931 0.56 (0.02) Emission Stage II WTTS, Thick Disk HOP-187 Flat 2,4
1005 0.10 (0.01) Emission Stage II HOP-202 Galaxy
1042 0.51 (0.02) Absorption Stage II HOP-195 Flat
1246 0.26 (0.01) Stage II Jet source - DFS 112 HOP-25 Flat 1
1283 0.27 (0.01) Absorption Galaxy HOP-27 Galaxy
1316 0.38 (0.02) Protostar HOP-31 Flat
1355 0.56 (0.02) Stage II HOP-382 Class I
1369 0.32 (0.01) Protostar
1431 0.32 (0.01) Stage II
1472 0.70 (0.06) Stage II
1474 0.42 (0.02) Emission Stage II HOP-47 Flat
1512 0.32 (0.02) Protostar
1662 0.59 (0.02) Stage II
2255 0.18 (0.01) Emission Galaxy HOP-61 Galaxy
2393 0.27 (0.01) Absorption Protostar Jet source - DFS 102 HOP-83 Galaxy 1
2561 0.59 (0.01) Emission Stage II HOP-102 Class I
2593 0.16 (0.01) Protostar HOP-104 Class I
2649 0.12 (0.01) No Features Protostar HOP-105 Flat
2690 0.13 (0.01) Protostar
2707 0.26 (0.03) No Feature Protostar Jet source HOP-107 Flat
2748 0.65 (0.02) Protostar Jet source
Other (12)
0122 0.52 (0.01) Unknown point source
1203 0.39 (0.01) Unknown point source
1220 0.23 (0.01) fuzz
1286 0.72 (0.03) fuzz HOP-381 Uncertain
1313 0.38 (0.01) fuzz
1453 0.28 (0.01) fuzz
1513 0.20 (0.01) fuzz
1760 0.47 (0.02) cloud edge
1839 0.49 (0.02) cloud edge
1858 0.61 (0.03) fuzz
1983 0.68 (0.03) fuzz
2221 0.37 (0.04) Unknown poorly fit

References. — (1) Davis et al. (2009); (2) Fang et al. (2013); (3) Fang et al. (2009); (4) Furlan et al. (2016); (5) Hsu et al. (2012)

Note. — The criteria passed by each source are listed. We classify the Si[9.7μm\mu m] feature as being in Emission, Absorption, or No Feature if there is no clear sign of emission or absorption. We note previous classifications of these sources and which ones have jets. ”cloud edge” sources are associated with more structure than ”fuzz” which are essentially blank fields in the NIR.

Table 2: Derived Parameters for Protostars
Source χbest2\chi^{2}_{best}(a) (a) footnotemark:   NdataN_{data}(b)(b)footnotemark:   NfitsN_{fits}(c)(c)footnotemark:   NPN_{P}(d)(d)footnotemark:   NDN_{D}(e)(e)footnotemark:   Menv/M{M_{env}}/{M_{\star}} M˙/M{\dot{M}}/{M_{\star}} MM_{\star}
(×102\times 10^{-2}) (×106yr1\times 10^{-6}\ \text{yr}^{-1}) (MM_{\odot})
333 145.8 7 7 5 2 15.5 12.0 0.2
1316 382.4 12 10 6 4 17.1 28.4 0.2
1369 8.4 5 4 3 1 83.5 92.9 0.3
1512 67.9 8 17 17 0 59.2 80.2 0.2
2393 15587.7 19 35 23 12 69.6 67.7 0.4
2593 718.0 11 36 30 6 131.0 162.5 0.2
2649footnotemark: 4883.2 16 2 1 1 7.2 9.4 1.4
2690 2934.4 13 7 5 2 17.3 30.5 0.2
2707footnotemark: 10446.4 17 4 3 1 7.9 5.2 0.5
2748 8388.1 20 21 18 3 27.5 17.5 0.2

Note. — Weighted median model parameters for models with Δχscaled21\Delta\chi^{2}_{scaled}\leq 1. The uncertainties on the parameters are as discussed in §3. Sources M2649 and M2707 fit parameters were derived with the estimated Herschel 70 µm\micron photometry from Furlan et al. (2016).

(a) χbest2\chi^{2}_{best} is the χ2\chi^{2} of the best fit model (i.e. the lowest χ2\chi^{2} value). (b)NdataN_{data} is the number of data points used for the SED fit. (c)NfitsN_{fits} is the number of fits which pass the χscaled2\chi^{2}_{scaled} criteria. (d,e){}^{(d,\,e)} NPN_{P} and NDN_{D} are the number of Stage I or II (respectively) models which pass the χscaled2\chi^{2}_{scaled} criteria.

Table 3: Classifier Confusion Matrix: Low Extinction
Protostar Disk Total
Stage I 150 25 175
Stage II 24 167 191
Total 174 192 366

Note. — The data show the number that correspond to a particular (row,column) pair. The terminal row and column show the totals for their respective row and column The rows are the actual source stage. The columns are the source stage determined using the χ2\chi^{2} weighted median of the fit parameters with Δχscaled21\Delta\chi_{scaled}^{2}\leq 1, our classification scheme.

Table 4: Classification Statistics
Type Number
Protostar 10 (24%)
Stage II 18 (44%)
Galaxy 4 (10%)
Fuzz 9 (22%)
Total 41 (100%)
Unknown 3

Table 5: Distance/velocity from .8 and .5 AKA_{\rm K} contours
Source .8AK.8A_{\rm K} contour .5AK.5A_{\rm K} contour
d8[pc]\rm d_{8}[{\rm~pc}] v8[kms1]v_{8}[{\rm~km~s^{-1}}] d5[pc]\rm d_{5}[{\rm~pc}]footnotemark: v5[kms1]v_{5}[{\rm~km~s^{-1}}]
333 0.09 0.44  \cdots
1316 0.15 0.73 0.03 0.15
1369 0.16 0.78 0.11 0.54
1512 0.47 2.3 0.1 0.49
2393 0.33 1.61 0.18 0.88
2593 0.4 1.96 0.31 1.52
2649 1.05 5.13 0.89 4.35
2690 1.61 7.87 0.6 2.93
2707 1.69 8.26 0.04 0.2
2748 1.1 5.38  \cdots

Note. — 2D distances and velocities to the 0.5 and 0.8 AKA_{\rm K} contours. Velocities are estimated as v=d/(2×105years)v=\nicefrac{{d}}{{(2\times 10^{5}{\rm~years})}}. Sources projected onto extinction higher than 0.5 mags do not have any distance/velocity reported

Appendix A Images of Confirmed Protostars

Images of 10 confirmed protostars and source M1246, which is included to show it’s jet. On the left is the VISION Survey JHK 1×11\arcmin\times 1\arcmin image. The green circle marks the source, and the red circles mark Megeath et al. Class II sources. On the right is the Herschel 3030\arcsec resolution 10×1010\arcmin\times 10\arcmin extinction image. AKA_{\rm K} ranges from AKA_{\rm K} of 0-0.8 mag. The blue square is a 1×11\arcmin\times 1\arcmin box centered on the source. Green circles mark the Megeath et al. Class 0/I sources; red X’s, the Megeath et al. Class II sources. In all extinction images, the colorbar goes from white (0) to black (0.8) magnitudes in AKA_{\rm K}. For the sources with jets, the jet is marked with an arrow. Because jet’s should be bipolar, we show the undetected reverse jet as a dashed arrow. Orientation is galactic north up - east left

Refer to captionRefer to caption

(.1)

Refer to captionRefer to caption

(.2)

Refer to captionRefer to caption

(.3)
Figure A:

Refer to captionRefer to caption

(.4)

Refer to captionRefer to caption

(.5)

Refer to captionRefer to caption

(.6)
Figure A: continued

Refer to captionRefer to caption

(.7)

Refer to captionRefer to caption

(.8)

Refer to captionRefer to caption

(.9)
Figure A: continued

Refer to captionRefer to caption

(.10)

Refer to captionRefer to caption

(.11)
Figure A: continued

Appendix B SED Atlas

This appendix shows the model fits and data for all the Megeath protostars below AKA_{\rm K} of 0.8 mag except for the 11 that had too little data. The gray lines are the fits with Δχscaled21\Delta\chi^{2}_{scaled}\leq 1, with the best fit in black. The IRS spectrum, where available, is overplotted in red.

[Uncaptioned image] [Uncaptioned image] [Uncaptioned image]
[Uncaptioned image] [Uncaptioned image] [Uncaptioned image]
[Uncaptioned image] [Uncaptioned image] [Uncaptioned image]
[Uncaptioned image] [Uncaptioned image] [Uncaptioned image]
[Uncaptioned image] [Uncaptioned image] [Uncaptioned image]
[Uncaptioned image] [Uncaptioned image] [Uncaptioned image]
[Uncaptioned image] [Uncaptioned image] [Uncaptioned image]
[Uncaptioned image] [Uncaptioned image] [Uncaptioned image]
[Uncaptioned image] [Uncaptioned image] [Uncaptioned image]
[Uncaptioned image] [Uncaptioned image] [Uncaptioned image]
[Uncaptioned image] [Uncaptioned image] [Uncaptioned image]