An open API service indexing awesome lists of open source software.

https://github.com/thepetabyteproject/FRB121102

Results and analysis scripts for FRB121102 burst analysis.
https://github.com/thepetabyteproject/FRB121102

fast-radio-bursts

Last synced: 2 months ago
JSON representation

Results and analysis scripts for FRB121102 burst analysis.

Awesome Lists containing this project

README

        

# FRB121102

This repository contains the data and analysis scripts used in the paper ([here](https://arxiv.org/abs/2107.05658)).

[Here](https://zenodo.org/record/5029530) is a link of the raw observation files.

See the project webpage with burst fitting results: [FRB121102](https://thepetabyteproject.github.io/FRB121102/)

Here is the layout for this repository:

* [`analysis/`](https://github.com/thepetabyteproject/FRB121102/tree/main/analysis): consists of the following analysis notebooks and scripts:

| Notebook | Description |
| ----------- | ----------- |
| [`waittime_analysis.ipynb`](https://github.com/thepetabyteproject/FRB121102/blob/main/analysis/waittime_analysis.ipynb) | Analysis of wait time distribution of bursts |
| [`period_search.ipynb`](https://github.com/thepetabyteproject/FRB121102/blob/main/analysis/period_search.ipynb)| Period search on bursts |
| [`burst_rate.ipynb`](https://github.com/thepetabyteproject/FRB121102/blob/main/analysis/burst_rate.ipynb)| Burst rate estimation using Poisson and Weibull distributions|
| [`cumulative_energy.ipynb`](https://github.com/thepetabyteproject/FRB121102/blob/main/analysis/cumulative_corner_plot.ipynb)| Cumulative energy calculation for the bursts and estimation of power law slopes|
| [`param_wrt_time.ipynb`](https://github.com/thepetabyteproject/FRB121102/blob/main/analysis/param_wrt_time.ipynb)| Plot of burst parameters with respect to time|
| [`make_param_dict.ipynb`](https://github.com/thepetabyteproject/FRB121102/blob/main/analysis/make_param_dict.ipynb)| Read the MCMC results (h5 files with samples) and generate csv files with burst properties|
| [`make_prop_table.ipynb`](https://github.com/thepetabyteproject/FRB121102/blob/main/analysis/make_prop_table.ipynb)| Read the burst parameter csv and generate Latex table for the paper|
| [`cumulative_corner_plot.ipynb`](https://github.com/thepetabyteproject/FRB121102/blob/main/analysis/cumulative_corner_plot.ipynb)| Read MCMC posteriors and generates a combined corner plot with all burst properties|
| [`mcmc_fitall.py`](https://github.com/thepetabyteproject/FRB121102/blob/main/analysis/mcmc_fitall.py)| Python script used for MCMC burstfit. It reads in the candidate h5 files generated by [`your_candmaker.py`](https://github.com/thepetabyteproject/your/blob/master/bin/your_candmaker.py) during the search step, and uses [`burstfit`](https://github.com/thepetabyteproject/burstfit) to estimate the properties of the bursts|

* [`data/`](https://github.com/thepetabyteproject/FRB121102/tree/main/data): consists of [`all_bursts_bary.csv`](https://github.com/thepetabyteproject/FRB121102/blob/main/data/all_bursts_bary.csv) file with all burst properties. Each row correspond to a unique burst component.
Each column shows a burst property, or 1-sigma fit error on a property. Individual bursts have a unique
`cand_id`. `bidx` corresponds to the burst index used in the paper.

* Posterior sample chains generated by burstfit-MCMC on all bursts are available upon request (145G).
* fit results and corner plots: See project webpage [here](https://thepetabyteproject.github.io/FRB121102/).

# Citation

Please cite the following paper if you use the data and analysis scripts present in this repository:

```bash
@ARTICLE{2021arXiv210705658A,
author = {{Aggarwal}, Kshitij and {Agarwal}, Devansh and {Lewis}, Evan F. and {Anna-Thomas}, Reshma and {Cardinal Tremblay}, Jacob and {Burke-Spolaor}, Sarah and {McLaughlin}, Maura A. and {Lorimer}, Duncan R.},
title = "{Comprehensive analysis of a dense sample of FRB 121102 bursts}",
journal = {arXiv e-prints},
keywords = {Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics},
year = 2021,
month = jul,
eid = {arXiv:2107.05658},
pages = {arXiv:2107.05658},
archivePrefix = {arXiv},
eprint = {2107.05658},
primaryClass = {astro-ph.HE},
adsurl = {https://ui.adsabs.harvard.edu/abs/2021arXiv210705658A},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
```