A code for fitting random Fourier features to time-seires for the IPN
What is this?
Nazgul is a framework for performing GRB localization via fitting non-parametric models to their data time-series and computing the the time delay between them. It is currentrly built upon the magic of Stan and implements a parallel version of non-stationary Random Fourier Features. The idea is get away from heuristic methods such as cross-correlation which do not have a self-consistent statitical model.
The idea is that satellites throughout the Sol system observe gamma-ray bursts at different times due to the finite speed of light. This creates a time delay in their observed light curves which can be used to triangulate the gamma-ray burst position on the sky. These triangulation create annuli or rings on the sky which Nazgul searchs for so that it, in the darkness, it can bind them to a location on the sky. (We are nerds, get over it).
The heriarchical model is shown below and details can be found in link here. If you find the method and/or code useful in your research we ask that you please cite the paper.
The sister program to simulate time-delayed light curves is pyIPN and can be used to generate time-delayed light curves for algorithm testing.
This work is a joint effort by:
- J. Michael Burgess
- Ewan Cameron
- Dmitry Svinkin
pip install nazgul
Nazgul is still under heavy development! Expect problems!
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size nazgul-0.1.1-py3-none-any.whl (57.5 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size nazgul-0.1.1.tar.gz (40.0 kB)||File type Source||Python version None||Upload date||Hashes View|