Star Formation Laws and Efficiencies across 80 Nearby Galaxies
Abstract
We measure empirical relationships between the local star formation rate (SFR) and properties of the star-forming molecular gas on 1.5 kpc scales across 80 nearby galaxies. These relationships, commonly referred to as "star formation laws," aim at predicting the local SFR surface density from various combinations of molecular gas surface density, galactic orbital time, molecular cloud free-fall time, and the interstellar medium dynamical equilibrium pressure. Leveraging a multiwavelength database built for the PHANGS survey, we measure these quantities consistently across all galaxies and quantify systematic uncertainties stemming from choices of SFR calibrations and the CO-to-H conversion factors. The star formation laws we examine show 0.3-0.4 dex of intrinsic scatter, among which the molecular Kennicutt-Schmidt relation shows a 10% larger scatter than the other three. The slope of this relation ranges , implying that the molecular gas depletion time remains roughly constant across the environments probed in our sample. The other relations have shallower slopes (), suggesting that the star formation efficiency (SFE) per orbital time, the SFE per free-fall time, and the pressure-to-SFR surface density ratio (i.e., the feedback yield) may vary systematically with local molecular gas and SFR surface densities. Last but not least, the shapes of the star formation laws depend sensitively on methodological choices. Different choices of SFR calibrations can introduce systematic uncertainties of at least 10-15% in the star formation law slopes and 0.15-0.25 dex in their normalization, while the CO-to-H conversion factors can additionally produce uncertainties of 20-25% for the slope and 0.10-0.20 dex for the normalization.
Keywords
Cite
@article{arxiv.2302.12267,
title = {Star Formation Laws and Efficiencies across 80 Nearby Galaxies},
author = {Jiayi Sun and Adam K. Leroy and Eve C. Ostriker and Sharon Meidt and Erik Rosolowsky and Eva Schinnerer and Christine D. Wilson and Dyas Utomo and Francesco Belfiore and Guillermo A. Blanc and Eric Emsellem and Christopher Faesi and Brent Groves and Annie Hughes and Eric W. Koch and Kathryn Kreckel and Daizhong Liu and Hsi-An Pan and Jerome Pety and Miguel Querejeta and Alessandro Razza and Toshiki Saito and Amy Sardone and Antonio Usero and Thomas G. Williams and Frank Bigiel and Alberto D. Bolatto and Melanie Chevance and Daniel A. Dale and Jindra Gensior and Simon C. O. Glover and Kathryn Grasha and Jonathan D. Henshaw and Maria J. Jimenez-Donaire and Ralf S. Klessen and J. M. Diederik Kruijssen and Eric J. Murphy and Lukas Neumann and Yu-Hsuan Teng and David A. Thilker},
journal= {arXiv preprint arXiv:2302.12267},
year = {2023}
}
Comments
10 pages main text + 2 appendices. ApJL in press. Data products available at https://www.canfar.net/storage/list/phangs/RELEASES/Sun_etal_2023 . Slides summarizing key results can be found at https://www.dropbox.com/s/5gsegexeo9n0t05/Sun_et_PHANGS_2023.pptx?dl=0