The slope and scatter of the star forming main sequence at z~5 : reconciling observations with simulations
Authors
Claudia Di Cesare
Jorryt Matthee
Rohan P. Naidu
Alberto Torralba
Gauri Kotiwale
Ivan G. Kramarenko
Jeremy Blazoit
Joakim Rosdahl
Joel Leja
Edoardo Iani
Angela Adamo
Alba Covelo-Paz
Lukas J. Furtak
Kasper E. Heintz
Sara Mascia
Benjamín Navarrete
Pascal A. Oesch
Michael Romano
Irene Shivaei
Sandro Tacchella
Abstract
Galaxies exhibit a tight correlation between their star-formation rate and stellar mass over a wide redshift range known as the star-forming main sequence (SFMS). With JWST, we can now investigate the SFMS at high redshifts down to masses of $\sim10^6$ M$_{\odot}$, using sensitive star-formation rate tracers such as H$α$ emission -- which allow us to probe the variability in star formation histories. We present inferences of the SFMS based on 316 H$α$-selected galaxies at $z\sim4$-$5$ with $\log(\rm M_\star/M_\odot) = 6.4$ -$10.6$. These galaxies were identified behind the Abell 2744 lensing cluster with NIRCam grism spectroscopy from the ``All the Little Things'' (ALT) survey. At face value, our data suggest a shallow slope of the SFMS (SFR $\propto \mathrm{M}_\star^α$, with $α=0.45$). After correcting for the H$α$-flux limited nature of our survey using a Bayesian framework, the slope steepens to $α= 0.59^{+0.10}_{-0.09}$, whereas current data on their own are inconclusive on the mass dependence of the scatter. These slopes differ significantly from the slope of $\approx1$ expected from the observed evolution of the galaxy stellar mass function and from simulations. When fixing the slope to $α=1$, we find evidence for a decreasing intrinsic scatter with stellar mass (from $\approx 0.5$ dex at M$_\star=10^8$ M$_\odot$ to $0.4$ dex at M$_\star=10^{10}$ M$_\odot$). This tension might be explained by a (combination of) luminosity-dependent SFR(H$α$) calibration, a population of (mini)-quenched low-mass galaxies, or underestimated dust attenuation in high-mass galaxies. Future deep observations across facilities can quantify these processes, enabling better insights into the variability of star formation histories.
