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Semianalytic VT

<p>Grid of optimal SNRs and detection probabilities for calculating semianalyic VT estimates, detection probabilities, and detection weights for an arbitrary dataset.&nbsp;</p> <p>The datasets are grid over primary mass, mass ratio, and redshift for which optimal SNRs and detection probabilities have been pre-computed. There are two datasets in the h5 file: &#39;midhighlatelow_network&#39; and &#39;design_network&#39;, which assume 3-detector networks consisting of LIGO-Hanford, LIGO-Livingston, and Virgo.&nbsp;</p> <p>Can be used in conjunction with this <a href="https://github.com/michaelzevin/selection_effects">Github repo</a>&nbsp;for estimating&nbsp;detection probabilities and relative detection weights for an arbitrary population.&nbsp;</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

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

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4