An Application of Multi-band Forced Photometry to One Square Degree of SERVS: Accurate Photometric Redshifts and Implications for Future Science
Kristina Nyland, Mark Lacy, Anna Sajina, Janine Pforr, Duncan Farrah,, Gillian Wilson, Jason Surace, Boris Haeussler, Mattia Vaccari, and Matt, Jarvis
TL;DR
This paper demonstrates how The Tractor's forced photometry improves multi-band galaxy property measurements in SERVS, leading to more accurate photometric redshifts and better galaxy detection, with implications for future extragalactic surveys.
Contribution
It introduces a novel application of The Tractor for forced photometry in SERVS, enhancing source identification and redshift accuracy over traditional methods.
Findings
Improved source cross-identification across bands.
Enhanced de-blending of blended sources.
Significant reduction in photometric redshift outliers.
Abstract
We apply The Tractor image modeling code to improve upon existing multi-band photometry for the Spitzer Extragalactic Representative Volume Survey (SERVS). SERVS consists of post-cryogenic Spitzer observations at 3.6 and 4.5 micron over five well-studied deep fields spanning 18 square degrees. In concert with data from ground-based near-infrared (NIR) and optical surveys, SERVS aims to provide a census of the properties of massive galaxies out to z ~ 5. To accomplish this, we are using The Tractor to perform "forced photometry." This technique employs prior measurements of source positions and surface brightness profiles from a high-resolution fiducial band from the VISTA Deep Extragalactic Observations (VIDEO) survey to model and fit the fluxes at lower-resolution bands. We discuss our implementation of The Tractor over a square degree test region within the XMM-LSS field with deep…
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