SFR estimations from z=0 to z=0.9 -- A comparison of SFR calibrators for star-forming galaxies
M. Figueira, A. Pollo, K. Ma{\l}ek, V. Buat, M. Boquien, F. Pistis, L., P. Cassar\`a, D. Vergani, M. Hamed, S. Salim

TL;DR
This study compares various photometric and spectroscopic SFR indicators for star-forming galaxies up to redshift 0.9, assessing their reliability and proposing new calibrations based on rest-frame luminosities.
Contribution
It provides a comprehensive comparison of SFR tracers across multiple bands and lines, and introduces new calibrations based on CIGALE estimations for improved accuracy.
Findings
UV, u-band, and 24μm are reliable SFR tracers up to z~0.9
Hβ line is a dependable SFR indicator at intermediate redshift
[OII] and [OIII] lines require metallicity information for accurate SFR estimation
Abstract
Using VIPERS, we estimated a set of SFR based on photometric and spectroscopic data. We used, as estimators, photometric bands from ultraviolet to mid-infrared, and spectral lines. Assuming a reference SFR obtained from the spectral energy distribution reconstructed with Code Investigating GALaxy Emission, we estimated the reliability of each band as an SFR tracer. We used GSWLC to trace the dependence of these SFR calibrators with redshift. The far and near UV, u-band and 24-m bands, as well as , are found to be good SFR tracers up to with a strong dependence on the attenuation prescription used for the bluest bands (scatter of SFR of 0.26, 0.14, 0.15, 0.23, and 0.24dex for VIPERS, and 0.25, 0.24, 0.09, 0.12, and 0.12dex for GSWLC). The 8-m band provides only a rough estimate of the SFR as it depends on metallicity and polycyclic aromatic hydrocarbon…
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.
Taxonomy
TopicsSpectroscopy and Laser Applications · Impact of Light on Environment and Health · Calibration and Measurement Techniques
