Published February 1, 2023 | Version v1
Dataset Open

Glitch subtraction with adaptive spline -- Part 1

Authors/Creators

  • 1. The University of Texas Rio Grande Valley

Description

This dataset contains the data used in the paper (arXiv:2301.02398) on the estimation and subtraction of glitches in gravitational wave data using an adaptive spline fitting method called SHAPES .

Each .zip file corresponds to one of the glitches considered in the paper. The name of the class to which the glitch belongs (e.g., "Blip") is included in the name of the corresponding .zip file (e.g., BLIP_SHAPESRun_20221229T125928.zip). When uncompressed, each .zip file expands to a folder containing the following.

  • An HDF5 file containing the Whitened gravitational wave (GW) strain data in which the glitch appeared. The data has been whitened using a proprietary code. The original (unwhitened) strain data file is available from gwosc.org. The name of the original data file is the part preceding the token '__dtrndWhtnBndpss' in the name of the file.
  • A JSON file containing information pertinent to the glitch that was analyzed (e.g., start and stop indices in the whitened data time series).
  • A set of .mat  files containing segmented estimates of the glitch as described in the paper. 

A MATLAB script, plotglitch.m, has been provided that plots, for a given glitch folder name, the data segment that was analyzed in the paper. Another script, plotshapesestimate.m, plots the estimated glitch. These scripts require the JSONLab package.

Files

BLIP_SHAPESRun_20221229T125928.zip

Files (706.3 MB)

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md5:383bf825ec4f923e23c7305b3614e92d
175.7 MB Preview Download
md5:37d7c4f0a19b3fb09989db27349ee109
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md5:b0c093bf3bebfc876fa0c5a35e971926
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md5:61d2d3e0a12a04cd341d901d27aede89
986 Bytes Download
md5:326edf4af3a92e5aedffac6146ff47d7
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md5:e415b9d44e07e5563822c373d19b038d
175.6 MB Preview Download

Additional details

Funding

U.S. National Science Foundation
PHY: Accelerated Always-On Fully-Coherent Network Analysis for Gravitational Wave Searches 2207935