SPLASH-SXDF Multi-wavelength Photometric Catalog

April 2018 • 2018ApJS..235...36M

Authors • Mehta, Vihang • Scarlata, Claudia • Capak, Peter • Davidzon, Iary • Faisst, Andreas • Hsieh, Bau Ching • Ilbert, Olivier • Jarvis, Matt • Laigle, Clotilde • Phillips, John • Silverman, John • Strauss, Michael A. • Tanaka, Masayuki • Bowler, Rebecca • Coupon, Jean • Foucaud, Sébastien • Hemmati, Shoubaneh • Masters, Daniel • McCracken, Henry Joy • Mobasher, Bahram • Ouchi, Masami • Shibuya, Takatoshi • Wang, Wei-Hao

Abstract • We present a multi-wavelength catalog in the Subaru/XMM-Newton Deep Field (SXDF) as part of the Spitzer Large Area Survey with Hyper-Suprime-Cam (SPLASH). We include the newly acquired optical data from the Hyper-Suprime-Cam Subaru Strategic Program, accompanied by IRAC coverage from the SPLASH survey. All available optical and near-infrared data is homogenized and resampled on a common astrometric reference frame. Source detection is done using a multi-wavelength detection image including the u-band to recover the bluest objects. We measure multi-wavelength photometry and compute photometric redshifts as well as physical properties for ∼1.17 million objects over ∼4.2 deg², with ∼800,000 objects in the 2.4 deg² HSC-Ultra-Deep coverage. Using the available spectroscopic redshifts from various surveys over the range of 0 < z < 6, we verify the performance of the photometric redshifts and we find a normalized median absolute deviation of 0.023 and outlier fraction of 3.2%. The SPLASH-SXDF catalog is a valuable, publicly available resource, perfectly suited for studying galaxies in the early universe and tracing their evolution through cosmic time.

Links

• PREPRINT http://arxiv.org/abs/1711.05280
• ELECTR https://doi.org/10.3847%2F1538-4365%2Faab60c
• SIMBAD http://simbad.u-strasbg.fr/simbo.pl?bibcode=2018ApJS..235...36M
• PDF https://iopscience.iop.org/article/10.3847/1538-4365/aab60c/pdf
• PDF https://stacks.iop.org/0067-0049/235/36/pdf
• DATA http://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/235/36
• DATA http://archive.eso.org/bin/ads2eso?2018ApJS..235...36M
• DATA https://irsa.ipac.caltech.edu/bibdata/2018/M/2018ApJS..235...36M.html