Data Products

ADD DESCRIPTIONS OF HOW DATA ARE DISCOVERABLE AND EXPECTED LATENCIES

Input

• trigger streams for each auxiliary channel, including $\rho (t)$

Timeseries

• $p_g(t)$

• $\ln \mathrm{\Lambda }(t)$

• Rank (raw classifier output)

• False Alarm Probability

• Glitch detection efficiency

Feature Importance and diagnostics

• Categorization metrics based on auxiliary channel information

Monitoring

• Algorithmic health

  • Up-time/Duty-cycle timeseries

  • Calibration

  • ROC Curves

• Impact on searches

  • Measures of $VT$ with and without data quality information applied

  • Measures of deadtime introduced using veto conditions implemented within low-latency alerting logic

  • Additional latency introduced by data quality information

• Auxiliary channel and Feature Monitoring

  • Channel event maps

  • PSD snapshots for each auxiliary channel

  • $\rho$ histograms and glitchgrams