Herschel Hermes: Identifying Counterparts In CANDELS HST & SpUDS IRAC Data

Details Herschel Hermes: Identifying Counterparts In CANDELS HST & SpUDS IRAC Data Herschel Hermes: Identifying Counterparts In CANDELS HST & SpUDS IRAC Data

Jan 2012

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aas...21942718k&link_type=abstract

American Astronomical Society, AAS Meeting #219, #427.18

Astronomy and Astrophysics

Astronomy

Scientific paper

We apply a likelihood ratio (LR) test to identify Spitzer IRAC & HST counterparts to Herschel HerMES sources in the UDS field. The HerMES sources are selected from SPIRE 250, 350, & 500 micron data and are typically far-IR luminous dusty galaxies at high-z. Their extreme far-IR luminosities are driven by extreme star-formation rates, though it is unclear whether mergers play a dominant role in triggering these high-redshift starbursts. Deep, high resolution HST data are ideal for studying morphologies and merger fractions, even at high redshift. However, directly identifying SPIRE counterparts in HST data is challenging due to the large SPIRE beam and high dust extinctions in submillimeter galaxies. Here, we use Spitzer IRAC data as an intermediary between SPIRE sources and HST counterparts. To match to the IRAC data, we employ the likelihood ratio (LR) test, which determines the most likely identification for a source and the reliability that that object is the true counterpart. We apply the LR test to 7000 HerMES sources in the UDS to identify their IRAC counterparts. The IRAC counterparts are then matched to HST sources, resulting in a catalog of HerMES sources with reliable identifications in CANDELS-HST data.

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