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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Measurements and Scripts for "Spectro-temporal analysis of ultra-fast radio bursts using per-channel arrival times" paper

Authors: Chamma, Mohammed;

Measurements and Scripts for "Spectro-temporal analysis of ultra-fast radio bursts using per-channel arrival times" paper

Abstract

This repository contains the necessary files to reproduce the measurements and figures published in "Spectro-temporal analysis of ultra-fast radio bursts using per-channel arrival times". This includes measurement spreadsheets, measurement figures, analysis scripts, and figure scripts. Scripts are written in Python. Burst files containing the FRB waterfalls in .npz format can be arranged through correspondence. Each PDF file named after an FRB source contains the waterfall plots of each burst with their measurements overlaid. The spreadsheets included are: allmeasurements_postfilter.csv Spreadsheet of the 433 measurements remaining after measurement filters are applied. These measurements are used in the figures and form the basis of the analysis and conclusions. allmeasurements_prefilter.csv Sheet of all measurements before filtering is applied. alldrifts.csv Sheet of multi-component driftrates measured using the arrival times method. alldrifts_acf.csv Sheet of multi-component driftrates measured using the ACF Gaussian method. burstdm_allmeasurements.csv Spreadsheet of measurements taken at each burst's individually determined DM. channelduration_allmeasurements.csv Measurements with duration defined as the average of channel durations. dmoptimized_allmeasurements.csv Measurements taken at each source's slope law corrected, 'optimized' DM. fluxdensities.csv Burst flux densities used in Figure 5. The scripts included are: arrivaltimes.py The implementation of the arrival times measurement pipeline described in the paper. Please note that this script is packaged with (and depends on) frbgui, which is available on pip and Github. Documentation on using arrivaltimes.py is available here. measurebursts.py This script performs the measurement of each burst. For each burst, the measurement options passed to arrivaltimes.py are listed. fig_spectraplots.py This script produces Figures 3 to 6, D1, D2, and D3 of the paper. Please email If you would like the code and measurements for the method comparison figures (Figs 7 and 8). measurement_example.py Shows the basic structure of measurebursts.py and can serve as a template for using the arrivaltimes.py pipeline.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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