A package to perform RFI flagging of radio interferometric data
Project description
aNKflag
An intelligent radio frequency interference (RFI) removal tool to work in multi-dimensions radio interferometric data.Background
Radio interferometric observations are generally affected by terrestrial radio emission, known as radio frequency interference (RFI). aNKflag is an intelligent tool developed to detect and remove these RFIs both in time-frequency as well as in the Fourier domain, popularly known as uv-domain in radio interferometry.
- aNKflag works on UVFITS files
- Before flagging one needs to convert CASA measurement set to UVFITS
- After flagging one needs to convert UVFITS to CASA measurement set and copy the flags to original measurement set.
- These features are not provided in aNKflag, as these are readily available in CASA.
- This python version uses precompiled and containersed sourcecode of aNKflag, so no need to worry about installing C/C++ libraries.
Documentation
aNKflag documentation is available at: ankflag.readthedocs.io
Quickstart
aNKflag is distributed on PyPI. To use it:
-
Create conda environment with python 3
conda create -n ankflag_env python=3.10 conda activate ankflag_env
-
Install aNKflag in conda environment
pip install ankflag
-
Initiate necessary metadata and containers
run-ankflag init --datadir </full/path/to/data/directory>
Contaniers will be stored in the data directory.
-
Run aNKflag
run-ankflag run </full/path/to/input/uvfits> </full/path/to/output/uvfits> --scratchdir </full/path/to/ankflag/workdir> --flagmode <uvbin/baseline> --npol <num_of_polarisation> --nthreads <num_of_cpu_threads> --target_type <target_type>
That's all. You run aNKflag for analysing flagging RFI. It will create a UVFITS file with output file location 🎉.
Acknowledgements
aNKflag is developed by Apurba Bera (ASTRON, NL) and Devojyoti Kansabanik (IAA-CSIC, Spain). If you use aNKflag for analysing your work, include the following statement in your paper
RFI flagging is perfomed using aNKflag.
- Cite aNKflag software in zenodo: https://doi.org/10.5281/zenodo.20568784
and cite the following papers.
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 ankflag-3.0.7.tar.gz.
File metadata
- Download URL: ankflag-3.0.7.tar.gz
- Upload date:
- Size: 20.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d0ddcdd615751636e2e53d2083ae498ff1badd0739ba511f303bffa28d804642
|
|
| MD5 |
88dfb239d64c1c503925eea376ed0351
|
|
| BLAKE2b-256 |
a4199beecc5dd2b3c87ca3b0035c5bd9e1ac9eb2e2e1fe93f7bd5d43775dc9aa
|
File details
Details for the file ankflag-3.0.7-py3-none-any.whl.
File metadata
- Download URL: ankflag-3.0.7-py3-none-any.whl
- Upload date:
- Size: 22.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c991a23598c5caee1416854bf3fe4abafbf5501cc89fadd730dcd7deba6a87bb
|
|
| MD5 |
ee94d40cd32c3e498c1dedf1cd54c1af
|
|
| BLAKE2b-256 |
72c121903348cea2f970cba0bcfbc2386daad1f4381e72f3c5e75a926843e54e
|