TL;DR
This paper enhances the pPXF method to simultaneously fit spectra and photometry for a large galaxy sample, revealing insights into stellar populations, masses, and star formation histories at redshift ~0.8, with implications for galaxy evolution studies.
Contribution
Introduces an improved pPXF algorithm for combined spectral and photometric fitting, applied to 3200 galaxies, and compares stellar and dynamical masses, highlighting the impact of different stellar population models.
Findings
Stellar mass estimates are more reliable than previous dynamical estimates.
Galaxies show a sharp transition from star formation to quenching at specific velocity dispersion and density thresholds.
Results depend on the choice of stellar population synthesis model, emphasizing the importance of model assumptions.
Abstract
I introduce some improvements to the pPXF method, which measures the stellar and gas kinematics, star formation history (SFH) and chemical composition of galaxies. I describe the new optimization algorithm that pPXF uses and the changes I made to fit both spectra and photometry simultaneously. I apply the updated pPXF method to a sample of 3200 galaxies at redshift (median , stellar mass M), using spectroscopy from the LEGA-C survey (DR3) and 28-bands photometry from two different sources. I compare the masses from new JAM dynamical models with the pPXF stellar population and show the latter are more reliable than previous estimates. I use three different stellar population synthesis (SPS) models in pPXF and both photometric sources. I confirm the main trend of the galaxies' global ages and metallicity with stellar…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
