ELISA: Efficient Library for Spectral Analysis in High-Energy Astrophysics
ELISA aims to provide a modern and efficient tool to explore and
analyze the spectral data. It is designed to be user-friendly and flexible.
The key features of ELISA include:
- Ease of Use: Simple and intuitive interfaces
- Robustness: Utilizing the state-of-the-art algorithm to fit, test, and compare models
- Performance: Efficient computation backend based on JAX
- ...
NOTE: ELISA is currently under active development. Please be aware of
potential brittleness, bugs, and changes to the API as the design evolves.
Table of Contents
Installation
Stable Version
It is recommended to install ELISA in a new
conda
environment as follows:
-
Create a new
condaenvironment. The following command creates a new environment named "elisa" withPython3.11:conda create -n elisa python=3.11Note that you can customize the environment name to your preference, and the
Pythonversion should range from 3.11 to 3.14. -
Activate the environment we just created:
conda activate elisa -
Install
ELISAusingpip:pip install astro-elisa
Use XSPEC Models
If you want to use models
from XSPEC,
make sure HEASoft and XSPEC v12.12.1+ are installed on your system,
and the HEASoft environment is initialized, then use the following
command to install xspex:
pip install xspex
For more details, see the corresponding API docs.
Development Version
The latest version of ELISA can be installed by the following command:
pip install -U git+https://github.com/wcxve/elisa.git
Documentation
Read the documentation at: https://astro-elisa.readthedocs.io
License
ELISA is distributed under the terms of
the GPL-3.0 license.
Metadata
Release files for astro-elisa 0.3.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| astro_elisa-0.3.1.tar.gz | 1.6 MB | With provenance | Details for astro_elisa-0.3.1.tar.gz |
Release files / astro_elisa-0.3.1.tar.gz
| Download URL | astro_elisa-0.3.1.tar.gz |
|---|---|
| Size | 1.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
547988c52598f9c3e911971faab7c209ff31dd8b681f525490e4bdce7caa9a64
|
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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