Semianalytic VT
<p>Grid of optimal SNRs and detection probabilities for calculating semianalyic VT estimates, detection probabilities, and detection weights for an arbitrary dataset. </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: 'midhighlatelow_network' and 'design_network', which assume 3-detector networks consisting of LIGO-Hanford, LIGO-Livingston, and Virgo. </p> <p>Can be used in conjunction with this <a href="https://github.com/michaelzevin/selection_effects">Github repo</a> for estimating detection probabilities and relative detection weights for an arbitrary population. </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