The Lockman--SpReSO project. Main properties of infrared selected star-forming galaxies
Mauro Gonz\'alez-Otero, Jordi Cepa, Carmen P. Padilla-Torres, Maritza, A. Lara-L\'opez, J. Jes\'us Gonz\'alez, \'Angel Bongiovanni, Bernab\'e, Cedr\'es, Miguel Cervi\~no, Irene Cruz-Gonz\'alez, Mauricio El\'ias-Ch\'avez,, Mart\'in Herrera-Edoqui, H\'ector J. Ibarra-Medel

TL;DR
This study analyzes infrared-selected star-forming galaxies from the Lockman--SpReSO survey, examining their properties, evolution, and relationships between stellar mass, star formation rate, and metallicity, revealing signs of evolution and lower-than-expected metallicities.
Contribution
It provides a detailed analysis of IR-selected SFGs, including their evolution and 3D property relations, with a new calibration approach for the fundamental plane involving IR-based SFRs.
Findings
69 AGNs identified and excluded from 409 objects
Most SFGs are in the starburst region, with signs of evolution at z>0.4
IR-selected SFGs show lower metallicities than expected for their mass and redshift
Abstract
Methods.We applied distinct selection criteria to attain an SFG sample with minimal AGN contamination. Multiple approaches were used to estimate the intrinsic extinction, SFR and gas-phase metallicity for the SFGs. In conjunction with findings in the literature, we examined the correlation between SFRs and stellar masses (), as well as the metallicity evolution depending on . Finally, the 3D relationship between , SFR and metallicity, is also studied.} Results. From the initial spectroscopic sample of 409 FIR-selected objects from the Lockman--SpReSO catalogue, 69 (17\%) AGNs have been identified and excluded, which is nearly double the percentage found in local studies, leaving a sample of 340 SFGs. The analysis of the --SFR relationship revealed that Lockman--SpReSO IR-selected SFGs show signs of evolution at redshifts , shifting above the main sequence,…
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.
