https://github.com/simonsobs/fgspectra

Foreground SED and power spectrum library for building cross frequency power spectrum models
https://github.com/simonsobs/fgspectra

Last synced: 10 months ago
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Foreground SED and power spectrum library for building cross frequency power spectrum models

• Host: GitHub
• URL: https://github.com/simonsobs/fgspectra
• Owner: simonsobs
• License: bsd-3-clause
• Created: 2019-03-12T18:53:51.000Z (over 7 years ago)
• Default Branch: main
• Last Pushed: 2024-09-26T15:18:50.000Z (almost 2 years ago)
• Last Synced: 2025-07-01T16:12:38.542Z (12 months ago)
• Language: Python
• Size: 6.88 MB
• Stars: 8
• Watchers: 11
• Forks: 8
• Open Issues: 17
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# FGspectra

[![Latest](https://img.shields.io/badge/docs-dev-blue.svg)](https://simonsobs.github.io/fgspectra/)

[![Build Status](https://travis-ci.com/simonsobs/fgspectra.svg?branch=master)](https://travis-ci.com/simonsobs/fgspectra)

[![codecov](https://codecov.io/gh/simonsobs/fgspectra/branch/master/graph/badge.svg)](https://codecov.io/gh/simonsobs/fgspectra)

Library for the evaluation of the SEDs and cross-spectra of astrophysical components.

Main modules are

* `frequency.py`: evaluation of astrophysical SEDs

* `power.py`: evaluation of anugular power spectra

* `cross.py`: evaluation of frequency cross-spectra

To get started, have a look at the notebooks in `fgspectra/notebook`

## Contributing

Current main contributors are Zack Li, Max Abitbol and Davide Poletti. Feel free to join: contributors are welcome!

We try to

* develop in short-lived branches that are merged into master

* write [numpy docstrings](https://numpydoc.readthedocs.io/en/latest/format.html) and PEP8 compliant code.

## Material

We'll eventually pull in code/reference material from

* [fgbuster](https://github.com/fgbuster/fgbuster)

* [BeFore](https://github.com/damonge/BFoRe_py)

* [tile-c](https://github.com/ACTCollaboration/tile-c)

* [Erminia/Jo's multifrequency likelihood on Lambda](https://lambda.gsfc.nasa.gov/product/act/act_fulllikelihood_get.cfm)

## Dependencies

* Python > 3

* numpy / scipy

## Installing

Since we're still putting this together, just install in developer mode for now.

```

pip install -e .

```

## Testing

Run `pytest` in the `fgspectra` directory. (work in progress)