Welcome to the Max Planck Institute for Astrophysics' Stellar Model Grid Repository. This collection contains comprehensive stellar evolution models computed using the MESA (Modules for Experiments in Stellar Astrophysics) code, covering various metallicities and configurations for both single and binary star systems.
Each grid contains pre-computed, detailed evolutionary tracks in the form of MESA history files, which have been compressed into tar archives for convenient downloading. The history files contain key stellar parameters such as mass, radius, luminosity, effective temperature, and internal structure information throughout the star's evolution.
The grids cover a wide range of initial conditions:
After downloading and extracting the tar files, you can use the following Python script to read the compressed history files:
# Code tested on Python 3.11, pandas 2.2.3
import pandas as pd
# After downloading the tar file, extract it to a folder.
# Then, use this sample code to read the compressed history files.
# Replace this with the path to the history file you want to read.
file = 'MW/binary/1.100/1.100_0.650_3.300_compressed.pkl.gz'
# Read the compressed DataFrame
df = pd.read_pickle(file, compression='gzip')
# Now you can work with the DataFrame `df`
print("Columns of the history file:")
print(list(df.columns))
print("\nFirst row of history file:")
print(df.iloc[0])
To request access to these stellar model grids, or to contribute to this repository, please email one of the maintainers:
Thibault Lechien (lechien@mpa-garching.mpg.de)
Harim Jin (hjin@astro.uni-bonn.de)
Stephen Justham (sjustham@mpa-garching.mpg.de)
These stellar model grids are made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0). For details, see the full license.