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LOFAR TKP Script Archive

This repository contains a collection of assorted scripts written by TKP members for manipulating LOFAR data. Members are encouraged to add any scripts they write which might be of interest to others.

Please place any new scripts in a directory which should include the script plus any supporting files. Also add a (brief!) "README" file describing what the script does and any instructions for running it, and update the listing below.

Contents

data_volume

Estimate the volume of visibilities produced for a given observation.

dump_transients_to_csv

An example of how to work with MonetDB. Dumps transients to CSV tables.

elevation

Calculates the elevation relative to the Superterp for a given RA, Dec and observation time.

find_flash

Finds new transient sources in fits images.

find_preprocessed_data

Finds the preprocessed data on CEP2 for a given obsid.

find_raw_data

Finds the raw data on CEP2 for a given obsid.

flag_bad_station_standalone

A standalone script for automatically flagging bad stations in a measurement set.

generate_voevent

Generate a voevent alert packet from a given transient_id.

ms_diff

Calculate the difference between two MeasurementSets.

posangle_from_zenith

Calculate the position angle of an observation from the zenith.

simulated_datasets

Scripts used to create and analyse simulated datasets.

TraP_QC_diagnostics

A script that uses TraP outputs analyse the quality of images and outputs the recommended QC settings for TraP.

TraP_QC_plots

Creates a variety of plots to give an overview of the quality of a given dataset for TraP.

TraP_source_overview

Creates plots of the transient parameters for all sources in a dataset.

Tidy_Miriad

Inserts the required fits header fields which are missing in Miriad images. The images can then be processed by tkp-inject.py and TraP.

Tidy_Mosaic

Inserts the required fits header fields which are missing in the LOFAR mosaic images. The images can then be processed by tkp-inject.py and TraP.

uvw

Calculate the UVW coordinates of a given baseline.

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Scripts for manipulating LOFAR data

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  • Python 98.8%
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