Skip to main content

Astronomical spectrum fitting tool

Project description

Welcome To BAYSPEC 👋

A Bayesian Inference-based Spectral Fitting Tool for High-energy Astrophysical Data.

PyPI - Version License: GPL v3

Features

  • Bayesian inference-based: implemented by MCMC (e.g., emcee) or nested sampling (e.g., multinest)
  • Multi-dimensional: enabling the fit of time-evolving spectra with time-involved physical models
  • Multi-wavelength: supporting for the joint fitting to multi-wavelength astronomical spectra
  • Friendly interface: easy-to-use web application developed with streamlit
  • Others: simultaneous fitting of multi-spectra and multi-models, freely combining available models and add new model

Installation

BaySpec is available via pip:

$ pip install bayspec

Utilize multinest sampler

If you want to use Multinest for Bayesian inference, you can follow the instructions in the pymultinest documentation to install it.

Access Astromodels models

To utilize models from Astromodels, ensure that Astromodels is installed on your system.

Access Xspec models

To utilize models from Xspec, ensure that both HEASoft and Xspec v12.12.1+ are installed on your system. After confirming that HEASoft environment is properly initialized, then you need install xspec-models-cxc.

NOTE: BaySpec currently only supports Additive and Multiplicative models in Xspec.

BaySpec App

BaySpec App provides an easy-to-use web application implemented using streamlit.

Open in Streamlit

Documentation

If you wish to learn about the usage, you may check the examples or read the documentation.

License

BaySpec is distributed under the terms of the GPL-3.0 license.

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

bayspec-0.3.1.tar.gz (67.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

bayspec-0.3.1-py3-none-any.whl (74.1 kB view details)

Uploaded Python 3

File details

Details for the file bayspec-0.3.1.tar.gz.

File metadata

  • Download URL: bayspec-0.3.1.tar.gz
  • Upload date:
  • Size: 67.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for bayspec-0.3.1.tar.gz
Algorithm Hash digest
SHA256 edb1b2d5bff0179d6a5cc3f3ab170830f2e94a68fdd66dea0273d9f5733cee65
MD5 145536d006f8a3e49fada26e794c9db4
BLAKE2b-256 6883d6d2b89b5e88f8cd212223775ffacd8f462b334eea60a0f47ca987a1af11

See more details on using hashes here.

File details

Details for the file bayspec-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: bayspec-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 74.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for bayspec-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 1a14cfc8047ae1854338ce62fb856ddec322d8cd304964316497ef5c4d67b802
MD5 206fac71f30a2a7e917a43ad62d31ada
BLAKE2b-256 8a11f16f5347b1054054a78dac98dfd4f6d925db24b114a10e017971aa9bdca2

See more details on using hashes here.

Supported by

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