Speaker
Description
Supernova (SN) localization from water-Cherenkov neutrino detectors is critical for capturing early optical observations of the next galactic SN, as neutrinos are the earliest observables arriving well before shock breakout. SN neutrino bursts detected by Super-Kamiokande (SK) produce thousands of PMT time-charge (TQ) signals which contain directional information. Our current direction reconstruction pipelines at SK reconstruct the vertex, energy, and directions of all events, enabling highly resolved but computationally expensive real-time SN localization. However, our current event-level reconstruction increases the alert latency of SN directions when sending notices to the General Coordinates Network (GCN). We are developing a new direction fitter that maps individual PMT hit TQ data onto a HEALPix sphere, directly extracting directional information without relying on individual event reconstruction. In this presentation, we describe the characteristics of the TQ hit map and the directional analysis techniques used to optimize the latency of SN localization. Preliminary results show that direction reconstruction using the TQ fitter is done in O(1 sec) compared to O(90 sec) with our current reconstruction fitters, though consistent directional accuracy requires further development.
| Keyword-1 | Neutrino |
|---|---|
| Keyword-2 | Supernova |