The non-linear infrared-radio correlation of low-z galaxies: implications for redshift evolution, a new radio SFR recipe, and how to minimize selection bias
Daniel Cs. Molnar, Mark T. Sargent, Sarah Leslie, Benjamin Magnelli,, Eva Schinnerer, Giovanni Zamorani, Jacinta Delhaize, Vernesa Smolcic,, Kresimir Tisanic, Eleni Vardoulaki

TL;DR
This study revisits the infrared-radio correlation in low-redshift galaxies, revealing its non-linearity, biases in measurements, and implications for more accurate star formation rate calibrations and understanding of redshift evolution.
Contribution
It provides the first detailed quantification of IRRC non-linearity in low-z galaxies, introduces a new radio SFR calibration, and explains redshift evolution without requiring IRRC evolution.
Findings
IRRC is non-linear with a slope of 1.11±0.01.
New L_1.4-SFR calibration improves SFR estimates.
Redshift evolution of IRRC explained by sampling biases.
Abstract
The infrared-radio correlation (IRRC) underpins many commonly used radio luminosity-star formation rate (SFR) calibrations. In preparation for the new generation of radio surveys we revisit the IRRC of low- galaxies by (a) drawing on the best currently available IR and 1.4 GHz radio photometry, plus ancillary data over the widest possible area, and (b) carefully assessing potential systematics. We compile a catalogue of 9,500 z 0.2 galaxies and derive their 1.4 GHz radio (), total IR, and monochromatic IR luminosities in up to seven bands, allowing us to parameterize the wavelength-dependence of monochromatic IRRCs from 22-500 m. For the first time for low- samples, we quantify how poorly matched IR and radio survey depths bias measured median IR/radio ratios, , and discuss the level of biasing expected for low-z IRRC…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
