
We present ORAC-NT, a dual-channel anomaly detector for gravitational wave strain data operating without waveform templates. The detector combines RMS energy (sensitive to BBH impulsive signals) and the ORAC H energy-entropy metric (sensitive to BNS extended signals). Validated on GW150914 and GW170817 from LIGO GWOSC data.GW150914 detected via RMS at t=+0.010s; GW170817 detected via ORAC H at t=-0.260s.
GW170817, gravitational waves, anomaly detection, template-free detection, GW150914, LIGO, anomaly detection, PyCBC
GW170817, gravitational waves, anomaly detection, template-free detection, GW150914, LIGO, anomaly detection, PyCBC
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
