semvec/pypi-packages huggingface dataset:
km3irf 0.4.0
KM3NeT instrument response functions
License: MIT
Requires Python: >=3.6
Keywords: neutrino,astroparticle,physics,HEP

.. image:: https://git.km3net.de/km3py/km3irf/badges/main/pipeline.svg
    :target: https://git.km3net.de/km3py/km3irf/pipelines

.. image:: https://git.km3net.de/km3py/km3irf/badges/main/coverage.svg
    :target: https://km3py.pages.km3net.de/km3irf/coverage

.. image:: https://git.km3net.de/examples/km3badges/-/raw/master/docs-latest-brightgreen.svg
    :target: https://km3py.pages.km3net.de/km3irf

.. image:: https://git.km3net.de/km3py/km3irf/-/badges/release.svg
    :target: https://git.km3net.de/km3py/km3irf/-/releases

.. image:: https://img.shields.io/badge/License-BSD_3--Clause-blueviolet.svg
    :target: https://opensource.org/licenses/BSD-3-Clause

KM3NeT instrument response functions
====================================

This project provides a versatile tool that can be used to quickly analyze the sensitivity of the **KM3NeT** detector for various source models.
Currently it considers only point-like sources. The main feature of the tool is deep targeting to ``gammapy`` software.
At same time it is independent from installation of ``gammapy`` software.
For further analysis in ``gammapy``, ``km3irf`` provides next modules:

* Instrument response function (IRF)

  * Effective area (Aeff)

  * Energy dispertion (Edisp)

  * Point spread function (PSF)

* Data set (*in progress*)

* Event list (*in progress*)

Installation
------------

It is recommended to create an isolated virtualenvironment to not interfere
with other Python projects, preferably inside the project's folder. First clone
the repository with::

  git clone git@git.km3net.de:km3py/km3irf.git

or::

  git clone https://git.km3net.de/km3py/km3irf.git

Create and acitvate a virtual environment::

  cd km3irf
  python3 -m venv venv
  . venv/bin/activate

Install the package with::

  make install

You can also install the package directly from ``Pypi`` via ``pip`` package manager (no cloning needed).
It can easily be done into any Python environment with next command::

  pip install km3irf

To install all the development dependencies, in case you want to contribute or
run the test suite::

  make install-dev
  make test


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*Created with ``cookiecutter https://git.km3net.de/templates/python-project``*