First detection of an ultra-fast outflow (v≈0.07c) in a quiescent galaxy quenched ~9 Gyr ago, suggesting AGN winds can maintain quiescence independent of global star formation.
xCOLD GASS: the complete IRAM-30m legacy survey of molecular gas for galaxy evolution studies
4 Pith papers cite this work. Polarity classification is still indexing.
abstract
We introduce xCOLD GASS, a legacy survey providing a census of molecular gas in the local Universe. Building upon the original COLD GASS survey, we present here the full sample of 532 galaxies with CO(1-0) measurements from the IRAM-30m telescope. The sample is mass-selected in the redshift interval $0.01<z<0.05$ from SDSS, and therefore representative of the local galaxy population with M$_{\ast}>10^9$M$_{\odot}$. The CO(1-0) flux measurements are complemented by observations of the CO(2-1) line with both the IRAM-30m and APEX telescopes, HI observations from Arecibo, and photometry from SDSS, WISE and GALEX. Combining the IRAM and APEX data, we find that the CO(2-1) to CO(1-0) luminosity ratio for integrated measurements is $r_{21}=0.79\pm0.03$, with no systematic variations across the sample. The CO(1-0) luminosity function is constructed and best fit with a Schechter function with parameters {$L_{\mathrm{CO}}^* = (7.77\pm2.11) \times 10^9\,\mathrm{K\,km\,s^{-1}\, pc^{2}}$, $\phi^{*} = (9.84\pm5.41) \times 10^{-4} \, \mathrm{Mpc^{-3}}$ and $\alpha = -1.19\pm0.05$}. With the sample now complete down to stellar masses of $10^9$M$_{\odot}$, we are able to extend our study of gas scaling relations and confirm that both molecular gas fraction and depletion timescale vary with specific star formation rate (or offset from the star-formation main sequence) much more strongly than they depend on stellar mass. Comparing the xCOLD GASS results with outputs from hydrodynamic and semi-analytic models, we highlight the constraining power of cold gas scaling relations on models of galaxy formation.
fields
astro-ph.GA 4years
2026 4representative citing papers
A random forest model trained on isolated ALFALFA-SDSS galaxies predicts HI mass from optical properties with RMSE≈0.22 dex, revealing a 0.15 dex median HI deficiency increase in dense environments.
UVIT FUV catalogues of ELAIS N1 plus CIGALE SED fits show SFR increasing with redshift and a flat young-to-total stellar mass ratio to z≲0.76, consistent with secular SFMS evolution.
SKA-mid AA4 will enable deep, spatially resolved HI imaging over hundreds of square degrees at column densities down to 10^18 cm^{-2} to study environmental gas processes from isolated galaxies to clusters.
citing papers explorer
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First detection of ultra-fast outflows in a quiescent galaxy
First detection of an ultra-fast outflow (v≈0.07c) in a quiescent galaxy quenched ~9 Gyr ago, suggesting AGN winds can maintain quiescence independent of global star formation.
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A machine learning approach to estimating HI deficiency in galaxies
A random forest model trained on isolated ALFALFA-SDSS galaxies predicts HI mass from optical properties with RMSE≈0.22 dex, revealing a 0.15 dex median HI deficiency increase in dense environments.
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Deep far-UV observations of the ELAIS N1 field using AstroSat: Source catalogue, spectral energy distribution modelling and star formation
UVIT FUV catalogues of ELAIS N1 plus CIGALE SED fits show SFR increasing with redshift and a flat young-to-total stellar mass ratio to z≲0.76, consistent with secular SFMS evolution.
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Resolved HI and Environmental Dynamics
SKA-mid AA4 will enable deep, spatially resolved HI imaging over hundreds of square degrees at column densities down to 10^18 cm^{-2} to study environmental gas processes from isolated galaxies to clusters.