PyMGal documentation

Welcome to PyMGal, a Python repository for generating optical mock observations from cosmological simulations. It is compatible with a variety of different model formats including GAGDET, GIZMO, and AREPO. We have tested it on IllustrisTNG, SIMBA, EAGLE, and The Three Hundred hydrodynamical simulations, but it should work on many others as well. The program infers the spectral energy distributions (SEDs) of stellar particles within a simulation snapshot given some customizable simple stellar population (SSP) model. These SEDs can then be used to calculate the brightness of particles through some telescope filter, and the results can be projected to a realistic 2D image.

User Guide

• Installation
  • Installing stable version
  • Installing developer version
  • Prerequisites
• Usage
  • The MockObservation object
  • List of parameters
  • Description of parameters
• Model selection
  • The SSP_models object
  • SSP_models parameters
  • Available models
  • Dust functions
• Filters

Authors

Ordered alphabetically by last name, PyMGal is developed by:

• Weiguang Cui

• Patrick Janulewicz

License

Copyright 2024 PyMGal developers.

This code is available under the MIT License.

If you use PyMGal in your work, please cite the code paper found here: https://doi.org/10.1093/rasti/rzaf027.

PyMGal borrows a lot from EzGal (http://www.baryons.org/ezgal/), so please cite them as well if you use their methods.