arts_tracking_beams
Create tracking beams from ARTS tied-array beam data
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
✓Academic publication links
Links to: zenodo.org -
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (15.0%) to scientific vocabulary
Keywords from Contributors
Repository
Create tracking beams from ARTS tied-array beam data
Basic Info
- Host: GitHub
- Owner: loostrum
- License: apache-2.0
- Language: Python
- Default Branch: master
- Size: 7.16 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 2
- Releases: 4
Metadata Files
README.md
ARTS tracking beams
The Apertif Radio Transient System (ARTS) archive contains tied-array beam (TAB) data. The TABs have a time-dependent and frequency-dependent pointing. This tool is able to convert the TAB data to a tracking beam (TB), which tracks a fixed point on the sky over the course of an observation. Additionally, it can convert TAB data to Synthesised Beams (SBs), which are suitable for transient searches.
Dependencies
- python >= 3.6
- numpy >= 1.17
- astropy
- tqdm
Installation
To install the latest release:
pip install arts_tracking_beams
To install the latest master branch:
pip install git+https://github.com/loostrum/arts_tracking_beams
Usage
Basic usage of this package is described below. Tutorials are available at https://loostrum.github.io/artstrackingbeams.
Input data
First download the data set of interest from the Apertif Long-Term Archive (ALTA). Tools to find which pulsars are in the field-of-view of a given Apertif pointing and to download the data are available as a separate python package.
A data file from the archive is identified by three parameters: the task ID, compound beam (CB) index, and TAB index.
The file ARTS200102003_CB00_TAB00.fits would be the observation identified by task ID 200102003
(that is, the third observation on January 2nd, 2020), CB zero, TAB zero. A TB is created from the TABs of a single CB.
Creating a tracking beam
A tracking beam (TB) is created from the TAB data with arts_create_tracking_beam.
The simplest use case is to create a tracking beam from a folder which contains only one data set (i.e. the TABs of one CB of one observation), for a source with known coordinates. For example, to create a tracking beam towards the Crab pulsar:
arts_create_tracking_beam --input_folder /path/to/data/ --source 'PSR B0531+21'
If there are multiple data sets in the input data folder, specify the task ID and/or CB index. Instead of the source name, it is also possible to provide a RA and Dec. The name of the output FITS file is determined automatically from the input source name or RA/Dec, but can also be specified manually. Using all of these options, an example command is:
arts_create_tracking_beam --input_folder /path/to/data/ --taskid 200102003 --cb 0 --ra 05:34:32 --dec 22:00:52 --output tracking_beam.fits
The TB creation consists of two steps: 1. Calculate the required TABs at each frequency and time 2. Reorder the data from the input TAB FITS files and create a new FITS file containing the TB.
The results of step 1 can be saved to disk with --save_tab_indices. To only calculate the TAB indices and
disable step 2 completely, use --no_fits_output.
To generate the FITS output from a TAB indices file on disk, use--load_tab_indices /path/to/tab/index/file.txt.
The script then loads the TAB indices and immediately goes to step 2.
There are a few more settings that can be customized. Run arts_create_tracking_beam -h for an overview of all options.
Creating a synthesised beam
A synthesised beam (SB) is a type of beam that reorders the TABs as function of frequency, but not as function of time. A single CB is covered by 71 SBs. Each SB is always made out of the same TABs. The SBs are used in the real-time transient search that ARTS runs. The brightest transients may also be detectable in the archival data, so we here include a tool to create the synthesised beams as well.
The synthesised beam tool, arts_create_synthesised_beam, works
in a very similar fashion as the tracking beam tool. An example command:
arts_create_synthesised_beam --input_folder /path/to/data --sb 35
Run arts_create_synthesised_beam -h for more options.
Owner
- Name: Leon Oostrum
- Login: loostrum
- Kind: user
- Company: @NLeSC
- Repositories: 31
- Profile: https://github.com/loostrum
Citation (CITATION.cff)
# YAML 1.2
---
authors:
-
affiliation: "ASTRON/UvA"
family-names: Oostrum
given-names: Leon
orcid: "https://orcid.org/0000-0001-8724-8372"
cff-version: "1.1.0"
date-released: 2020-09-10
keywords:
- Astrophysics
- Apertif
- Arts
- "Fast Radio Bursts"
- Pulsars
license: "Apache-2.0"
message: "If you use this software, please cite it using these metadata."
repository-code: "https://github.com/loostrum/arts_tracking_beams"
title: "ARTS tracking beams"
version: "1.0"
...
GitHub Events
Total
Last Year
Committers
Last synced: 11 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Leon Oostrum | l****m@g****m | 64 |
| dependabot[bot] | 4****] | 22 |
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 1
- Total pull requests: 40
- Average time to close issues: 33 minutes
- Average time to close pull requests: 23 days
- Total issue authors: 1
- Total pull request authors: 2
- Average comments per issue: 0.0
- Average comments per pull request: 0.73
- Merged pull requests: 27
- Bot issues: 0
- Bot pull requests: 35
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 1
Top Authors
Issue Authors
- loostrum (1)
Pull Request Authors
- dependabot[bot] (41)
- loostrum (5)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- astropy *
- numpy >=1.17
- tqdm *
- actions/checkout v3 composite
- actions/setup-python v4 composite
- peaceiris/actions-gh-pages v3.9.2 composite
- pypa/gh-action-pypi-publish v1.6.4 composite