Skip to main content

Modular software for fitting semi-analytical model predictions to observed astronomical transient data.

Project description

MOSFiT (Modular Open-Source Fitter for Transients) is a Python 2.7/3.x package that performs maximum likelihood analysis to fit semi-analytical model predictions to observed transient data. Data can be provided by the user, or can be pulled automatically from the Open Supernova Catalog by its name, and thus the code can be used to fit any supernova within that database, or any database that shares the format described in the OSC schema (such as the Open TDE Catalog or the Open Nova Catalog). With the use of an optional upload flag, fits performed by users can then be uploaded back to the aforementioned catalogs.

Installation

MOSFiT is available on pip, and can be installed in the standard way:

pip install mosfit

To assist in the development of MOSFiT, the repository should be cloned from GitHub and then installed into your Python environment via the setup.py file:

git clone https://github.com/guillochon/MOSFiT.git
cd MOSFiT
python setup.py install

Using MOSFiT

For detailed instructions on using MOSFiT, please see our documentation on RTD: http://mosfit.readthedocs.io/

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mosfit-0.6.0.tar.gz (2.7 MB view details)

Uploaded Source

File details

Details for the file mosfit-0.6.0.tar.gz.

File metadata

  • Download URL: mosfit-0.6.0.tar.gz
  • Upload date:
  • Size: 2.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for mosfit-0.6.0.tar.gz
Algorithm Hash digest
SHA256 b5fe3dd49eec0de08743a0893a62585999f0c541c3a812eb49adb09ea4706684
MD5 060b6e63c6989101a23dfbfd10bc64af
BLAKE2b-256 ee5a6c159e3fb5d6b2b49859a2e2ec731e58d6659a8a2627cecdbbda6c929d45

See more details on using hashes here.

Supported by

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