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-0.3.8.tar.gz (73.3 kB view details)

Uploaded Source

Built Distribution

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

bayspec-0.3.8-py3-none-any.whl (79.7 kB view details)

Uploaded Python 3

File details

Details for the file bayspec-0.3.8.tar.gz.

File metadata

  • Download URL: bayspec-0.3.8.tar.gz
  • Upload date:
  • Size: 73.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for bayspec-0.3.8.tar.gz
Algorithm Hash digest
SHA256 c78221248c34ad50b5de763dc3a33b6d71b1195ae2d4cb63a705121add307e22
MD5 c714ee8fce5249f3cf631c3799ecbe97
BLAKE2b-256 c4c7b4f59b4715d6e088b706f62b7c65ab54e550b15b3ec3f445447204c61bb7

See more details on using hashes here.

File details

Details for the file bayspec-0.3.8-py3-none-any.whl.

File metadata

  • Download URL: bayspec-0.3.8-py3-none-any.whl
  • Upload date:
  • Size: 79.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for bayspec-0.3.8-py3-none-any.whl
Algorithm Hash digest
SHA256 c19b4e493f036c0d394aec55c167f68a1c8b471113dd74d36413c176f1414117
MD5 e3c74b05d939749647d04060ff349711
BLAKE2b-256 eafa78c2d876d2dee1968832f2579e42ea33ed2ccf8bb34ebe758ca9c2e976e9

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