Published November 16, 2023
| Version v1
Dataset
Open
Data Release for "Revisiting the evidence for precession in GW200129 with machine learning noise mitigation"
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1.
University of Portsmouth
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2.
Royal Holloway University of London
Description
Cleaned gravitational-wave data frame for the Livingston interferometer around GW200129 using NLSub, a machine-learning algorithm. For more details, see the publication on ArXiv: https://arxiv.org/abs/2311.09921.
The data frame can be loaded in Python using e.g. GWPy TimeSeries class:
from gwpy.timeseries import TimeSeries
tseries = TimeSeries.read('L-L1_DCS-CALIB_STRAIN_CLEAN_C01_NLSUB_P2300358_v4-1264314077-4078.hdf5')
Files
Files
(128.2 MB)
| Name | Size | Download all |
|---|---|---|
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md5:52849917305f1f05f53757691ab11ca6
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128.2 MB | Download |