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I introduce some improvements to the pPXF method, which measures the stellarand gas kinematics, star formation history (SFH) and chemical composition ofgalaxies. I describe the new optimization algorithm that pPXF uses and thechanges I made to fit both spectra and photometry simultaneously. I apply theupdated pPXF method to a sample of 3200 galaxies at redshift $0.6<z<1$ (median$z=0.76$, stellar mass $M_\ast>3\times10^{10}$ M$_\odot$), using spectroscopyfrom the LEGA-C survey (DR3) and 28-bands photometry from two differentsources. I compare the masses from new JAM dynamical models with the pPXFstellar population $M_\ast$ and show the latter are more reliable than previousestimates. I use three different stellar population synthesis (SPS) models inpPXF and both photometric sources. I confirm the main trend of the galaxies'global ages and metallicity $[M/H]$ with stellar velocity dispersion$\sigma_\ast$ (or central density), but I also find that $[M/H]$ depends on ageat fixed $\sigma_\ast$. The SFHs reveal a sharp transition from star formationto quenching for galaxies with $\lg(\sigma_\ast/\mathrm{km\, s^{-1}})>2.3$, oraverage mass density within 1 kpc $\lg(\Sigma_1^{\rm JAM}/\mathrm{M_\odotkpc^{-2}})>9.9$, or with $[M/H]>-0.1$, or with Sersic index $\lg n_{\rmSer}>0.5$. However, the transition is smoother as a function of $M_\ast$. Theseresults are consistent for two SPS models and both photometric sources, butthey differ significantly from the third SPS model, which demonstrates theimportance of comparing model assumptions. The pPXF software is available fromhttps://pypi.org/project/ppxf/.

monthly notices of the royal astronomical society

Full spectrum fitting with photometry in pPXF: stellar population versus  dynamical masses, non-parametric star formation history and metallicity for  3200 LEGA-C galaxies at redshift z~0.8