# The MicroBooNE continuous readout stream for detection of supernova neutrinos

## TL;DR

MicroBooNE developed a continuous readout and delayed triggering system using FPGA-based zero-suppression to detect supernova neutrinos, enhancing sensitivity despite low energy signals and cosmic ray background.

## Contribution

This work introduces a novel continuous readout stream and a delayed trigger system for supernova neutrino detection in LArTPCs, leveraging FPGA algorithms for data management.

## Key findings

- Successful implementation of FPGA-based zero-suppression algorithms.
- Feasibility of continuous data streaming for supernova neutrino detection.
- Enhanced sensitivity to low-energy supernova neutrinos.

## Abstract

Since the original detection of core-collapse supernova neutrinos in 1987, all large neutrino experiments seek to detect the neutrinos from the next nearby supernova. Among them, liquid argon time projection chambers (LArTPCs) offer a unique sensitivity to the electron neutrino flux of a supernova. However, the low energy of these events (scale of MeVs), and the fact that all large (multi-tonne) LArTPCs operating at the moment are located near the Earth's surface, and are therefore subject to an intense cosmic ray flux, makes triggering on the supernova neutrinos very challenging. Instead, MicroBooNE has pioneered a novel approach for detecting supernova neutrinos based on a continuous readout stream and a delayed trigger generated by other neutrino detectors (the Supernova Early Warning System, or SNEWS). MicroBooNE's data is stored temporarily for a few days, awaiting a SNEWS alert to prompt the permanent recording of the data. In order to cope with the large data rates produced by the continuous readout of the TPC and the PMT systems of MicroBooNE, FPGA-based zero-suppression algorithms have been developed.