Skip to main content

GRB lightcurve flare and continuum fitter.

Project description

Lightcurve and Flare Fitter - LAFF

A python package for automatic lightcurve and flare fitting in GRB lightcurves.

Description

This program looks to provide automatic and consistent fitting of GRB lightcurves, ultimately intended for statistical studies of a large collection of GRBs. Initially it looks for any 'significant' rises in flux which can be marked as a potential flare. Each potential flare is then refined and cut down until a set of start, peak and end times for flares are designated. This flare data is temporarily removed in order to fit a broken powerlaw to the continuum data - the best solution between 0 and up to 5 breaks is used. The flare data can then be readded and the flares fitted with either a simple gaussian, or more appropriately, a fast-rise slow-decay (FRED) curve.

With a fully fitted model, the program will output useful information, either printed to terminal or into a csv table. Such information includes flare timings, durations, number of breaks and fluence of the flares and continuum.

To run the program, the user simply needs to point LAFF towards an appropriate lightcurve file (current and planned formats are shown below). See below for full commands and optional instructions.

Getting Started

Dependencies

  • Python 3
  • lmfit (v1.0.3 or newer)
  • astropy (v5.1 or newer)
  • pandas (v1.4 or newer)
  • matplotlib (v3.5 or newer)
  • scipy (v1.8 or newer)
  • numpy (v1.23 or newer)

All available through standard python package installation methods (e.g. pip). Earlier versions of these may work but have not been explicility tested.

Installing

To download as pip package:

pip install laff

Executing program

  • How to run the program
  • Step-by-step bullets
code blocks for commands

Help

Any advise for common problems or issues.

command to run if program contains helper info

Authors

Contributors names and contact info

ex. Dominique Pizzie
ex. @DomPizzie

Version History

License

This project is licensed under the [NAME HERE] License - see the LICENSE.md file for details

Acknowledgments

Inspiration, code snippets, etc.

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

laff-0.9.13.tar.gz (16.2 kB view details)

Uploaded Source

Built Distribution

laff-0.9.13-py3-none-any.whl (18.9 kB view details)

Uploaded Python 3

File details

Details for the file laff-0.9.13.tar.gz.

File metadata

  • Download URL: laff-0.9.13.tar.gz
  • Upload date:
  • Size: 16.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.0 CPython/3.10.9 Darwin/23.3.0

File hashes

Hashes for laff-0.9.13.tar.gz
Algorithm Hash digest
SHA256 0c5653886d4ee67842bcd159f44f15eda30601a5cae1f11a076bbbad3d667603
MD5 a0a84d08467e8e1d06f9c9cdbc01fb8c
BLAKE2b-256 69216a95c74d057827f9a79acaf9d94f7bde9d6a3850f09ca093d2ae4532bd5a

See more details on using hashes here.

File details

Details for the file laff-0.9.13-py3-none-any.whl.

File metadata

  • Download URL: laff-0.9.13-py3-none-any.whl
  • Upload date:
  • Size: 18.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.0 CPython/3.10.9 Darwin/23.3.0

File hashes

Hashes for laff-0.9.13-py3-none-any.whl
Algorithm Hash digest
SHA256 15504c66787a8568512d1390bffc36eaeec4d9cb789d41f966dea7009e543b9b
MD5 91afb4bd1a29e54f3f667a0262e0f337
BLAKE2b-256 e7bb884bf8b444de5539b5c954bb453ddd5305d22eaa3c82f4b202ba3d04c4ae

See more details on using hashes here.

Supported by

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