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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for easyFermi-1.1.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 44c0a3dfcb02088d7851f6c05b9ada95854799c25e5731fece2da6dde68a821a |
|
MD5 | acd61e5d984478e5e605c44bf2b2317a |
|
BLAKE2b-256 | e099d5f4c3acb9cd7a2e5f8170c27c69f03e83bee5edc32a65285cf425f3f35b |