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Investigating the relation between gravitational wave tests of general relativity

<p>This data release accompanies the paper Johnson-McDaniel et al., Investigating the relation between gravitational wave tests of&nbsp;general relativity, arXiv:2109.06988.</p> <p>It provides the frame files containing the simulated observations of GR and non-GR signals (with no noise) analyzed in that paper. Specifically, these are simulated&nbsp;observations of binary black hole coalescences like GW150914 and GW170608.</p> <p>Each directory inside one of the tarballs corresponds to a given simulated observation and contains three frame files, one for each observatory (LIGO Hanford, LIGO&nbsp;Livingston, and Virgo). The GR cases contain simulated observations generated using the IHES EOB and IMRPhenomD models, while the non-GR cases contain the modified EOB,&nbsp;TIGER, FTA, and modified dispersion relation (MDR) simulated observations, as described in the paper. Specifically, the TIGER and FTA cases modify the 2PN coefficient,&nbsp;while the MDR cases are for a massive graviton. For the GW150914-like simulated observations, there are two selections (one large, one smaller) of the non-GR parameter&nbsp;for each non-GR case.</p> <p>The frame files in the GW150914-like (GW170808-like) cases contain 8 (16) seconds of data, starting from a GPS time of 1126259456 (1180922480). In both cases, the peak&nbsp;of the waveform (the &quot;trigger time&quot;) is placed 2 seconds from the end of the data segment, so at GPS times of 1126259462 and 1180922494 for the GW150914-like and&nbsp;GW170608-like cases, respectively.</p> <p>Any publication that uses these data should cite the aforementioned paper that describes them (arXiv:2109.06988), as well as this Zenodo release, doi:10.5281/zenodo.5637361.</p> <p>Contents:</p> <p>GW150914_like_GR.tgz:<br> - GW150914_like_IHES_EOB_GR<br> - GW150914_like_IMRPhenomD_GR</p> <p>GW150914_like_nonGR_larger.tgz:<br> - GW150914_like_IHES_EOB_modGR_a2_400<br> - GW150914_like_IMRPhenomD_TIGER_dchi4_m13<br> - GW150914_like_IMRPhenomD_FTA_dchi4_m13<br> - GW150914_like_IMRPhenomD_MDR_alpha0_A_5em44</p> <p>GW150914_like_nonGR_smaller.tgz:<br> - GW150914_like_IHES_EOB_modGR_a2_40<br> - GW150914_like_IMRPhenomD_TIGER_dchi4_m2<br> - GW150914_like_IMRPhenomD_FTA_dchi4_m2<br> - GW150914_like_IMRPhenomD_MDR_alpha0_A_1em44</p> <p>GW170608_like_GR.tgz:<br> - GW170608_like_IHES_EOB_GR<br> - GW170608_like_IMRPhenomD_GR</p> <p>GW170608_like_nonGR.tgz:<br> - GW170608_like_IHES_EOB_modGR_a2_40<br> - GW170608_like_IMRPhenomD_TIGER_dchi4_m2<br> - GW170608_like_IMRPhenomD_FTA_dchi4_m2<br> - GW170608_like_IMRPhenomD_MDR_alpha0_A_1em43</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
12
Reuse readiness
8
Engagement
4

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