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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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GWTC-2.1: Deep Extended Catalog of Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run - Data Quality Products for GW Searches

Authors: LIGO Scientific Collaboration and Virgo Collaboration;

GWTC-2.1: Deep Extended Catalog of Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run - Data Quality Products for GW Searches

Abstract

This material is part of several data products associated with GWTC-2.1, the deep extended catalog of compact binary coalescences observed by the LIGO Scientific Collaboration and the Virgo Collaboration during the first half of the third observing run. For further information, see the paper (dcc.ligo.org/LIGO-P2100063/public), the related material linked from this page, and the GWTC-2.1 data release documentation (www.gw-openscience.org/GWTC-2.1/). This release contains data quality products that are used by search analyses to help mitigate non-Gaussian noise in the detector data. Renormalized iDQ timeseries This release contains the renormalized iDQ timeseries data quality product used within the GstLAL search to generate results for GWTC-2.1 as described in Goodwin et al. 2020. This data product was found to be statistically helpful in improving data quality within the GstLAL search. For further information about iDQ see Essick et al. 2020. The file H1L1-IDQ_TIMESERIES-1238166018-15843600.h5 contains a time series for each LIGO detector related to the probability of a glitch in the strain data given the behavior in the analyzed auxiliary channels which monitor the behavior of the detectors and their environment. The HDF5-formatted file contains two groups, H1 and L1, corresponding to LIGO Hanford and LIGO Livingston, respectively. Each group contains several datasets; the data dataset corresponds to the renormalized iDQ log-likelihoods, as described in Godwin et al. 2020, and the time dataset corresponds to the times associated with the renormalized iDQ log-likelihoods in the data dataset. For more general background on gravitational-wave data quality, try the materials from a GW Open Data Workshop or the guide to LIGO-Virgo data analysis.

LIGO Laboratory and Advanced LIGO are funded by the United States National Science Foundation (NSF) as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, the Max-Planck-Society (MPS), and the State of Niedersachsen/Germany for support of the construction of Advanced LIGO and construction and operation of the GEO600 detector. Additional support for Advanced LIGO was provided by the Australian Research Council. Virgo is funded, through the European Gravitational Observatory (EGO), by the French Centre National de Recherche Scientifique (CNRS), the Italian Istituto Nazionale di Fisica Nucleare (INFN) and the Dutch Nikhef, with contributions by institutions from Belgium, Germany, Greece, Hungary, Ireland, Japan, Monaco, Poland, Portugal, Spain.

{"references": ["https://doi.org/10.7935/nfnt-hm34"]}

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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.
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influence
This indicator 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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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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