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-0.3.9.tar.gz (73.8 kB view details)

Uploaded Source

Built Distribution

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

bayspec-0.3.9-py3-none-any.whl (80.2 kB view details)

Uploaded Python 3

File details

Details for the file bayspec-0.3.9.tar.gz.

File metadata

  • Download URL: bayspec-0.3.9.tar.gz
  • Upload date:
  • Size: 73.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for bayspec-0.3.9.tar.gz
Algorithm Hash digest
SHA256 8bd346b81143ecc91ad83ceeeaa963e3a24fb96f0d416e72aa5977bacca01535
MD5 8d1b540fe858c6543bf29fd3097f7111
BLAKE2b-256 560e07c18e90d30b2c1976596e8abb7d63b633d6d96d72b8e62659b8e40aa6d4

See more details on using hashes here.

File details

Details for the file bayspec-0.3.9-py3-none-any.whl.

File metadata

  • Download URL: bayspec-0.3.9-py3-none-any.whl
  • Upload date:
  • Size: 80.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for bayspec-0.3.9-py3-none-any.whl
Algorithm Hash digest
SHA256 4109a393fce5dd2b58aeb91fbf8db8ffa8a0ba5c050d6782d2bed28809fd1399
MD5 dc3704c9dc448d2ec055ab9c74a08bbf
BLAKE2b-256 ee0d32260a98b868cb4a73d3c7cec2f91fb87d18cec554a99548482525bd6b75

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