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
—
Created with ``cookiecutter https://git.km3net.de/templates/python-project``
1 maintainer
Metadata
1 maintainer
Release files for km3irf 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| km3irf-0.4.0.tar.gz | 886.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| km3irf-0.4.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 1.4 MB
Release files / km3irf-0.4.0.tar.gz
| Download URL | km3irf-0.4.0.tar.gz |
|---|---|
| Size | 886.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f600bb673329f81fa3fe05fff122c9f78c89de0bbc173dc5bdc6415b480c1040
|
|
BLAKE2b-256 checksum How to use checksums |
b7e51830ce19224e262b125be3cb2054900b315f1512e5921247e24af95bac6e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.2
|
Release files / km3irf-0.4.0-py2.py3-none-any.whl
| Download URL | km3irf-0.4.0-py2.py3-none-any.whl |
|---|---|
| Size | 474.7 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
24c1e1801b176207b47637c61aeb2e9fe2bfb86402ab79880772e1e4e8e406d4
|
|
BLAKE2b-256 checksum How to use checksums |
edd96d0b762713d858b59771433b1490415fbd4892c193e6fa3d26fc10bdae87
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.2
|
