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 mosfitTo 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 installUsing MOSFiT
For detailed instructions on using MOSFiT, please see our documentation on RTD: http://mosfit.readthedocs.io/
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Metadata
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Release files for mosfit 0.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| mosfit-0.6.0.tar.gz | 2.7 MB | Details |
Release files / mosfit-0.6.0.tar.gz
| Download URL | mosfit-0.6.0.tar.gz |
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| Size | 2.7 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
b5fe3dd49eec0de08743a0893a62585999f0c541c3a812eb49adb09ea4706684
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BLAKE2b-256 checksum How to use checksums |
ee5a6c159e3fb5d6b2b49859a2e2ec731e58d6659a8a2627cecdbbda6c929d45
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
