Skip to main content

Implementation of a modified blackbody (MBB) model, used for fitting the spectral energy distributions of dusty galaxies.

Project description

mbb

DOI

mbb is an implementation of a modified blackbody (MBB) model, commonly used for fitting the spectral energy distributions (SEDs) of dusty galaxies.

Feel free to suggest updates/point out issues on the GitHub page.

Author: Stephen McKay, 2023

Installation

The simplest way to install mbb is with pip; e.g., pip install mbb.

Usage

mbb can be used to generate mock SEDs based on a range of dust emission parameters, or it can be used to fit dust emission models to observed photometry and extract the best-fit parameters. The code is fully Bayesian, built with the emcee package. Uncertainties and upper limits are properly accounted for, and the code allows easy access to useful posterior metrics.

Documentation and examples available on Read the Docs.

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

mbb-0.5.3.tar.gz (16.8 kB view details)

Uploaded Source

Built Distribution

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

mbb-0.5.3-py3-none-any.whl (14.8 kB view details)

Uploaded Python 3

File details

Details for the file mbb-0.5.3.tar.gz.

File metadata

  • Download URL: mbb-0.5.3.tar.gz
  • Upload date:
  • Size: 16.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.13

File hashes

Hashes for mbb-0.5.3.tar.gz
Algorithm Hash digest
SHA256 5a4b636942daa60d8f59f2a9ac73bf5633c125bb9a079ebbb75f8499d3848515
MD5 6606c735ecef2ff14a25fb97447367ed
BLAKE2b-256 f18fb3ab18bf7e3ae4e7a1ab62edc4b943392bc8a8261ba9b216886269f8bcb0

See more details on using hashes here.

File details

Details for the file mbb-0.5.3-py3-none-any.whl.

File metadata

  • Download URL: mbb-0.5.3-py3-none-any.whl
  • Upload date:
  • Size: 14.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.13

File hashes

Hashes for mbb-0.5.3-py3-none-any.whl
Algorithm Hash digest
SHA256 26f530f149a3f5d58960f05386dfff28084dfe9475148a1b7d28f051bd09a605
MD5 557b5c360acb93785c06147e4d40bf19
BLAKE2b-256 0bb205990b3f4926c06c337d77c040921316eedc2e69edc67b8e4f176c4fad50

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