G10/COSMOS: 38 band (far-UV to far-IR) panchromatic photometry using LAMBDAR

TL;DR

This paper presents a comprehensive 38-band photometric catalogue for a 1 deg$^2$ region in COSMOS, enabling detailed galaxy analysis from ultraviolet to far-infrared wavelengths with consistent flux measurements.

Contribution

It provides a uniform, multi-wavelength photometric catalogue with total fluxes for over 128,000 objects, integrating data from multiple surveys and improving upon previous datasets.

Findings

Catalogue is consistent with existing datasets

Enables galaxy evolution studies from z=0 to 1

Provides robust flux measurements across 38 bands

Abstract

We present a consistent total flux catalogue for a $\sim$1 deg$^2$ subset of the COSMOS region (R.A. $\in [149.55\degr, 150.65\degr]$, DEC $\in [1.80\degr, 2.73\degr]$) with near-complete coverage in 38 bands from the far-ultraviolet to the far-infrared. We produce aperture matched photometry for 128,304 objects with i < 24.5 in a manner that is equivalent to the Wright et al. (2016) catalogue from the low-redshift (z < 0.4) Galaxy and Mass Assembly (GAMA) survey. This catalogue is based on publicly available imaging from GALEX, CFHT, Subaru, VISTA, Spitzer and Herschel, contains a robust total flux measurement or upper limit for every object in every waveband and complements our re-reduction of publicly available spectra in the same region. We perform a number of consistency checks, demonstrating that our catalogue is comparable to existing data sets, including the recent COSMOS2015 catalogue (Laigle et al. 2016). We also release an updated Davies et al. (2015) spectroscopic catalogue that folds in new spectroscopic and photometric redshift data sets. The catalogues are available for download at http://cutout.icrar.org/G10/dataRelease.php. Our analysis is optimised for both panchromatic analysis over the full wavelength range and for direct comparison to GAMA, thus permitting measurements of galaxy evolution for 0 < z < 1 while minimising the systematic error resulting from disparate data reduction methods.