THE MYStIX WIDE-FIELD NEAR-INFRARED DATA: OPTIMAL PHOTOMETRY IN CROWDED FIELDS

King, Robert R.; Naylor, T.; Broos, P. S.; Getman, Konstantin V.; Feigelson, E. D.

doi:10.1088/0067-0049/209/2/28

Cited by 30 publications

(55 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The technical papers, reviewed in Feigelson et al (2013), describe the following innovative methods designed for crowded and nebular star-forming regions that are often found lying near the Galactic Plane: Chandra X-ray, Spitzer MIR, UKIRT NIR data reduction (King et al 2013;Kuhn et al 2013aKuhn et al , 2013bTownsley et al 2014); X-ray/IR source matching ; and X-ray/IR membership classifications Povich et al 2013). …”

Section: Mystix As a Foundation For Sfincsmentioning

confidence: 99%

Star Formation In Nearby Clouds (SFiNCs): X-Ray and Infrared Source Catalogs and Membership

Getman

Broos

Kuhn

et al. 2017

ApJS

Self Cite

View full text Add to dashboard Cite

The Star Formation in Nearby Clouds (SFiNCs) project is aimed at providing a detailed study of the young stellar populations and of star cluster formation in thenearby 22 star-forming regions (SFRs) for comparison with our earlier MYStIX survey of richer, more distant clusters. As a foundation for the SFiNCs science studies, here, homogeneous data analyses of the Chandra X-ray and Spitzer mid-infrared archival SFiNCs data are described, and the resulting catalogs of over 15,300 X-ray and over 1,630,000 mid-infrared point sources are presented. On the basis of their X-ray/infrared properties and spatial distributions, nearly 8500 point sources have been identified as probable young stellar members of the SFiNCs regions. Compared to the existing X-ray/mid-infrared publications, the SFiNCs member list increases the census of YSO members by 6%-200% for individual SFRs and by 40% for the merged sample of all 22 SFiNCs SFRs.

show abstract

Section: Mystix As a Foundation For Sfincsmentioning

confidence: 99%

Star Formation In Nearby Clouds (SFiNCs): X-Ray and Infrared Source Catalogs and Membership

Getman

Broos

Kuhn

et al. 2017

ApJS

Self Cite

View full text Add to dashboard Cite

show abstract

“…The 2MASS photometry, used by PW10, is therefore not deep enough to detect highly reddened stars or deeply embedded protostars detected by GLIMPSE and MIPSGAL in IRDCs such as M17 SWex. We therefore produce deep JHK S photometry catalogs by applying the optimal-photometry method of King et al (2013) to publicly available UKIDSS data (Hambly et al 2008) covering our full M17 SWex field (Figure 1). The UKIDSS images provide sub-arcsecond resolution and point-source sensitivity toK 19 S mag.…”

Section: Ukidss Nir Photometrymentioning

confidence: 99%

RAPID CIRCUMSTELLAR DISK EVOLUTION AND AN ACCELERATING STAR FORMATION RATE IN THE INFRARED DARK CLOUD M17 SWex

Povich

Townsley

Robitaille

et al. 2016

ApJ

Self Cite

View full text Add to dashboard Cite

We present a catalog of 840 X-ray sources and first results from a 100 ks Chandra X-ray Observatory imaging study of the filamentary infrared (IR) dark cloud G014.225-00.506, which forms the central regions of a larger cloud complex known as the M17 southwest extension (M17 SWex). In addition to the rich population of protostars and young stellar objects with dusty circumstellar disks revealed by archival data from the Spitzer Space Telescope, we discover a population of X-ray-emitting, intermediate-mass pre-main-sequence stars that lack IR excess emission from circumstellar disks. We model the IR spectral energy distributions of this source population to measure its mass function and place new constraints on the destruction timescales for the inner dust disk for 2-8 M ☉ stars. We also place a lower limit on the star formation rate (SFR) and find that it is quite high (  M 0.007 M ☉ yr −1 ), equivalent to several Orion Nebula Clusters in G14.225-0.506 alone, and likely accelerating. The cloud complex has not produced a population of massive, O-type stars commensurate with its SFR. This absence of very massive (20 M ☉ ) stars suggests that either (1) M17 SWex is an example of a distributed mode of star formation that will produce a large OB association dominated by intermediate-mass stars but relatively few massive clusters, or (2) the massive cores are still in the process of accreting sufficient mass to form massive clusters hosting O stars.

show abstract

“…Its value is very close to the radius which includes 68% of stars from our IR astrometric solution, which is approximately 0. 13 (King et al 2013), which translates to 0. 086 in our definition of σ 39 .…”

Section: Application To the Trifid Nebula Fieldmentioning

confidence: 99%

“…A first step is to obtain catalogs of X-ray, near-infrared (NIR), and mid-infrared (MIR) sources from single waveband surveys (see Kuhn et al 2013a; L. K. Townsley et al, in preparation; King et al 2013;Kuhn et al 2013b). The X-ray selection is effective in discriminating young stars from older Galactic field stars, while the infrared photometry is needed to characterize the properties of the young stars: luminosity, surface temperature, absorption, and infrared-excess from a circumstellar dusty disk.…”

Section: Introduction a Central Goal Of The Massive Young Star-forminmentioning

confidence: 99%

“…K. Townsley et al, in preparation;King et al 2013;Kuhn et al 2013b), and classification with the naive Bayes classifier . It is worth emphasizing that there is a clear split between the observational information used in the matching process (the observed magnitude distributions of the IR counterparts and field stars) and the astrophysical understanding (colors and magnitudes for particular classes of object) used in the Bayes classifier.…”

Section: Introduction a Central Goal Of The Massive Young Star-forminmentioning

confidence: 99%

See 1 more Smart Citation

BAYESIAN MATCHING FOR X-RAY AND INFRARED SOURCES IN THE MYStIX PROJECT

Naylor

Broos

Feigelson

2013

ApJS

Self Cite

View full text Add to dashboard Cite

Identifying the infrared counterparts of X-ray sources in Galactic plane fields such as those of the MYStIX project presents particular difficulties due to the high density of infrared sources. This high stellar density makes it inevitable that a large fraction of X-ray positions will have a faint field star close to them, which standard matching techniques may incorrectly take to be the counterpart. Instead we use the infrared data to create a model of both the field star and counterpart magnitude distributions, which we then combine with a Bayesian technique to yield a probability that any star is the counterpart of an X-ray source. In our more crowded fields, between 10% and 20% of counterparts that would be identified on the grounds of being the closest star to an X-ray position within a 99% confidence error circle are instead identified by the Bayesian technique as field stars. These stars are preferentially concentrated at faint magnitudes. Equally importantly the technique also gives a probability that the true counterpart to the X-ray source falls beneath the magnitude limit of the infrared catalog. In deriving our method, we place it in the context of other procedures for matching astronomical catalogs.

show abstract

THE MYStIX WIDE-FIELD NEAR-INFRARED DATA: OPTIMAL PHOTOMETRY IN CROWDED FIELDS

Cited by 30 publications

References 34 publications

Star Formation In Nearby Clouds (SFiNCs): X-Ray and Infrared Source Catalogs and Membership

Star Formation In Nearby Clouds (SFiNCs): X-Ray and Infrared Source Catalogs and Membership

RAPID CIRCUMSTELLAR DISK EVOLUTION AND AN ACCELERATING STAR FORMATION RATE IN THE INFRARED DARK CLOUD M17 SWex

BAYESIAN MATCHING FOR X-RAY AND INFRARED SOURCES IN THE MYStIX PROJECT

Contact Info

Product

Resources

About