UVCANDELS: Catalogs of photometric redshifts and galaxy physical properties
Vihang Mehta, Marc Rafelski, Ben Sunnquist, Harry I. Teplitz, Claudia, Scarlata, Xin Wang, Adriano Fontana, Nimish P. Hathi, Kartheik G. Iyer,, Anahita Alavi, James Colbert, Norman Grogin, Anton Koekemoer, Kalina V., Nedkova, Matthew Hayes, Laura Prichard, Brian Siana

TL;DR
UVCANDELS combines deep UV and existing multi-wavelength data to produce extensive galaxy catalogs with improved photometric redshifts and physical property estimates, revealing biases in star-formation history models.
Contribution
This work provides the first large-scale catalog of UV-to-IR galaxy properties with enhanced redshift accuracy and compares different star-formation history parameterizations, highlighting systematic biases.
Findings
UV photometry improves redshift estimates.
Fixed-form SFHs underestimate stellar masses.
Chaotic star-formation impacts mass estimates.
Abstract
The UltraViolet imaging of the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey Fields (UVCANDELS) program provides deep HST F275W and F435W imaging over four CANDELS fields (GOODS-N, GOODS-S, COSMOS, and EGS). We combine this newly acquired UV imaging with existing HST imaging from CANDELS as well as existing ancillary data to obtain robust photometric redshifts and reliable estimates for galaxy physical properties for over 150,000 galaxies in the 430 arcmin UVCANDELS area. Here, we leverage the power of the new UV photometry to not only improve the photometric redshift measurements in these fields, but also constrain the full redshift probability distribution combining multiple redshift fitting tools. Furthermore, using the full UV-to-IR photometric dataset, we measure the galaxy physical properties by fitting templates from population synthesis models with two…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Astronomical Observations and Instrumentation · Galaxies: Formation, Evolution, Phenomena
