pySTARBURST99: The Next Generation of STARBURST99
Calum Hawcroft, Claus Leitherer, Oskar Arangure, John Chisholm, Sylvia Ekstrom, Sebastien Martinet, Lucimara Martins, Georges Meynet, Christophe Morisset, Andreas Sander, Aida Wofford

TL;DR
pySTARBURST99 is an updated Python-based population synthesis code for star-forming galaxies, incorporating new stellar models, wider parameter coverage, and improved predictions of galaxy properties, with notable increases in ionising flux and effects of metallicity and rotation.
Contribution
This work introduces pySTARBURST99, a Python port with new evolutionary tracks, synthetic SEDs, and extended metallicity and mass ranges, enhancing galaxy property predictions.
Findings
Increased H I ionising flux by 0.3 dex in the first 2 Myr with higher upper mass limit.
Lower metallicity results in higher H I flux at later times.
Rotating models produce significantly higher H I flux than non-rotating models after 2 Myr.
Abstract
STARBURST99 is a population synthesis code tailored to predict the integrated properties or observational characteristics of star-forming galaxies. Here we present an update to STARBURST99 where we port the code to python, include new evolutionary tracks both rotating and non-rotating at a range of low metallicity environments. We complement these tracks with a corresponding grid of new synthetic SEDs. Additionally we include both evolutionary and spectral models of stars up to 300-500Msol. Synthesis models made with the python version of the code and new input stellar models are labelled pySTARBURST99. We make new predictions for many properties, such as ionising flux, SED, bolometric luminosity, wind power, hydrogen line equivalent widths and the UV beta-slope. These properties are all assessed over wider coverage in metallicity, mass and resolution than in previous versions of…
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