Skip to main content

The easiest way to analyze Fermi-LAT data

Project description

easyFermi

The easiest way to analyze Fermi-LAT data.

Requirements

easyFermi relies on Python 3, Fermitools and Fermipy.

We recommend the user to install Miniconda 3 or Anaconda 3 before proceeding.

To install Fermitools and Fermipy with conda, do:

$ conda create --name fermi -c conda-forge -c fermi python=3.9 "fermitools>=2.2.0" healpy gammapy

Then activate the fermi environment:

$ conda activate fermi

And simply install Fermipy and easyFermi with pip:

$ pip install fermipy ipython easyFermi

Usage

While in the fermi environment, do:

$ ipython
>>> import easyFermi

Tutorials

You can find more details about easyFermi on https://github.com/ranieremenezes/easyFermi, and check the easyFermi tutorials on YouTube:

https://www.youtube.com/channel/UCeLCfEoWasUKky6CPNN_opQ

Fermipy V1.0.1 light curve problem

In the old version of Fermipy (i.e. V1.0.1, Python 3), the users face a "KeyError: 'fit_success'" issue when trying to build the light curves.

This issue is solved here: https://github.com/fermiPy/fermipy/issues/368

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

easyFermi-1.1.4.tar.gz (301.6 kB view hashes)

Uploaded Source

Built Distribution

easyFermi-1.1.4-py3-none-any.whl (299.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page