https://github.com/adacs-australia/celebi

The CRAFT Effortless Localisation and Enhanced Burst Inspection Pipeline

https://github.com/adacs-australia/celebi

Science Score: 23.0%

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    Found 11 DOI reference(s) in README
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    Links to: arxiv.org
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    Low similarity (8.7%) to scientific vocabulary
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Repository

The CRAFT Effortless Localisation and Enhanced Burst Inspection Pipeline

Basic Info
  • Host: GitHub
  • Owner: ADACS-Australia
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 3.98 MB
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Fork of askap-craco/CELEBI
Created almost 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme License

README.md

CELEBI: The CRAFT Effortless Localisation and Enhanced Burst Inspection Pipeline

CELEBI is an automated data processing pipeline for producing sub-arcsecond precision localisations and high-time resolution polarimetric measurements of fast radio bursts (FRBs) from voltages obtained with the Australian Square Kilometre Array Pathfinder (ASKAP).

CELEBI operates on the VCRAFT data format, and is designed to be run on a supercomputer. Once the dependencies have been installed, you should set up a config file based on the template for the data you are processing, and then run main.nf: nextflow /path/to/CELEBI/pipelines/main.nf -c [config file] It is recommended that you do this from a separate processing directory, and make use of the -with-report and -w Nextflow configuration options.

Options

Running CELEBI without any additional flags will run everything up until completion of correlation. To perform flux calibration, imaging, and localisation, add --calibrate. To perform polarisation calibration and beamforming after this, add --beamform. Both of these flags can be provided together to run the entire pipeline in one go.

You can omit the FRB and polcal workflows from running with --nofrb and --nopolcal respectively. If the polcal is omited, the beamforming will substitute zeros in its polarisation calibration solutions.

RFI subtraction can be skipped with --skiprfi.

Visibility flagging can be skipped with --noflag. You can provide custom AIPS flag files with --fieldflagfile, --polflagfile, and --fluxflagfile. These can be provided alongside using automatic flagging.

Dependencies

Owner

  • Name: Astronomy Data and Computing Services
  • Login: ADACS-Australia
  • Kind: organization
  • Location: Australia

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Dependencies

docker_data/Dockerfile docker
  • ubuntu 20.04 build
docker_data/requirements.txt pypi
  • astropy ==4.0.1
  • matplotlib ==3.2.1
  • numpy ==1.19.2
  • scipy ==1.6.0