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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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A Unified pastro for Gravitational Waves: Consistently Combining Information from Multiple Search Pipelines

Authors: Sharan, Banagiri; Christopher P L Berry; Gareth S. Cabourn Davies; Leo Tsukada; Zoheyr Doctor;

A Unified pastro for Gravitational Waves: Consistently Combining Information from Multiple Search Pipelines

Abstract

This repository is made to contain the data products released with the paper " A Unified p-astro for Gravitational Waves: Consistently Combining Information from Multiple Search Pipelines". In this paper, we showed how information from multiple GW pipelines can be combined to calculate a single probability of astrophysical origin - p-astro for GW triggers. This repository contains the joint probability distributions trained using injection (simulated signal) and noise triggers from the PyCBC and gstLAL pipelines from the O3 observing run of LIGO and Virgo. Using these distributions, a unified p-astro can be calculated for the on-source triggers from GWTC-2.1, as we show in the paper. If you would like to download all files on this page, we recommend zenodo_get: pip install zenodo_get zenodo-get RECORD_ID_OR_DOI There are two data products in this repository. 1. A text file "pastro_calcs.txt" which has the unified p-astro of all triggers from GWTC-2.1 2. A pickle file containing the injection KDEs and the noise distribution files, along with the values of the normalization constants for the various cases. The pickle file can be read in python by, import pickle pdf = pickle.load(open('zenodo_pdf.pickle', 'rb')) The injection KDEs were created using search pipelines run on simulated signals done by the LIGO-Virgo-KAGRA collaboration. The injection files can be found in this zenodo

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Keywords

Gravitational waves, p-astro

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selected citations
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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).
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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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