Disk Galaxy Models Driven by Stochastic Self-Propagating Star Formation

TL;DR

This paper introduces a stochastic self-propagating star formation model for disk galaxy evolution, successfully reproducing observational data and providing insights into galaxy formation and chemical evolution.

Contribution

It presents a novel integrated model combining stochastic star formation, chemical, and spectrophotometric evolution with galaxy formation processes.

Findings

Model reproduces M33 galaxy data accurately

Proves applicability for disk galaxy property interpretation

Demonstrates promising test results

Abstract

We present a model of chemical and spectrophotometric evolution of disk galaxies based on a stochastic self-propagating star formation scenario. The model incorporates galaxy formation through the process of accretion, chemical and photometric evolution treatment, based on simple stellar populations (SSP), and parameterized gas dynamics inside the model. The model reproduces observational data of a late-type spiral galaxy M33 reasonably well. Promising test results prove the applicability of the model and the adequate accuracy for the interpretation of disk galaxy properties.