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-0.8.0.tar.gz (16.0 kB view details)

Uploaded Source

Built Distribution

laff-0.8.0-py3-none-any.whl (18.8 kB view details)

Uploaded Python 3

File details

Details for the file laff-0.8.0.tar.gz.

File metadata

  • Download URL: laff-0.8.0.tar.gz
  • Upload date:
  • Size: 16.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.8.8 Darwin/22.6.0

File hashes

Hashes for laff-0.8.0.tar.gz
Algorithm Hash digest
SHA256 f9cfb4de9afd675d530b72fa8703813a80f3cecd8bf1438ce4d606e889e1e94b
MD5 f7d067f961ef5902a17f05bbf62a9e52
BLAKE2b-256 22b583f8d207424e278d22a4d68cf99ff6e8cace6965b9f5986c47e0742683c0

See more details on using hashes here.

File details

Details for the file laff-0.8.0-py3-none-any.whl.

File metadata

  • Download URL: laff-0.8.0-py3-none-any.whl
  • Upload date:
  • Size: 18.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.8.8 Darwin/22.6.0

File hashes

Hashes for laff-0.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a6019c0bba2505bd5c05853336cedacf61a622462e1e71e860eb0fe98625948d
MD5 33cda62dc1bea7ec1a756155cbea6fb9
BLAKE2b-256 05a396dd889b9162c7269e2cb9bddfcc235935e06c1b165d7133a68b3bb94dfb

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