A package to calibrate MeerKAT solar observation
Project description
MeerSOLAR
An automated calibration and imaging pipeline designed for solar radio observations using MeerKAT radio telescope. It performs end-to-end calibration, flagging, and imaging with a focus on dynamic solar data, supporting both spectral and temporal flexibility in imaging products.Background
Solar radio data presents unique challenges due to the high variability and brightness of the Sun, as well as the need for high time-frequency resolution. The MeerSOLAR pipeline addresses these challenges by:
- Automating the calibration of interferometric data, including flux, phase, and polarization calibrations
- Supporting time-sliced and frequency-sliced imaging workflows
- Leveraging Dask for scalable parallel processing
- Providing hooks for integration with contextual data from other wavelegths for enhanced solar analysis
Documentation
MeerSOLAR documentation is available at: meersolar.readthedocs.io
Quickstart
MeerSOLAR is distributed on PyPI. To use it:
-
Create conda environment with python 3.10
conda create -n meersolar_env python=3.10 conda activate meersolar_env
-
Install MeerSOLAR in conda environment
pip install meersolar
-
Initiate necessary metadata
init-meersolar-setup --init
-
Run MeerSOLAR pipeline
run-meer-meersolar <path of measurement set> --workdir <path of work directory> --outdir <path of output products directory>
That's all. You started MeerSOLAR pipeline for analysing your MeerKAT solar observation 🎉.
-
To see all running MeerSOLAR jobs
show-meersolar-status --show
-
To see prefect dashboard
run-meer-meerlogger
-
To see local log of any job using the
run-meer-meerlogger --jobid <jobid>
-
Output products will be saved in :
<path of output products directory>
Sample dataset
User can download and test entire MeerSOLAR pipeline using the sample dataset available in Zenodo: https://doi.org/10.5281/zenodo.16068485. Do not use this sample dataset for any publication without permission from the developer.
Acknowledgements
MeerSOLAR is developed by Devojyoti Kansabanik (CPAESS-UCAR, Boulder, USA) and Deepan Patra (NCRA-TIFR, Pune, India). If you use MeerSOLAR for analysing your MeerKAT solar observations, include the following statement in your paper
This MeerKAT solar observations are analysed using MeerSOLAR pipeline.
- MeerSOLAR software in zenodo: https://doi.org/10.5281/zenodo.16040507
License
This project is licensed under the MIT License.
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file meersolar-3.3.0.tar.gz.
File metadata
- Download URL: meersolar-3.3.0.tar.gz
- Upload date:
- Size: 186.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
eaa13ae4266d1598cdd5e48facacbec303764865a7ba03a527ffd19645f4a25b
|
|
| MD5 |
5ee77bfd1aa1abb519ac5b3462099beb
|
|
| BLAKE2b-256 |
b1577b463eaed92ff63ab064ad4fb8ada4f8ab4b4369bd5ab5ee13522260d5d7
|
File details
Details for the file meersolar-3.3.0-py3-none-any.whl.
File metadata
- Download URL: meersolar-3.3.0-py3-none-any.whl
- Upload date:
- Size: 217.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
44666768a6f4f99801665f33968b51ab9582a61762bc579888a410ebf7b455c1
|
|
| MD5 |
05dea28bf965f881f1963d222575e84b
|
|
| BLAKE2b-256 |
73e96d2580bd126cc2bf19bc0655a3049cce4d750c86cdcb5a54044b820bdc8d
|