Speaker
Description
Neutrino experiments require high-speed data processing to extract valuable insights from large data sets. This poster presents an advanced real-time charge reconstruction algorithm for neutrino physics applications at the Jiangmen Underground Neutrino Observatory (JUNO), implemented on a field-programmable gate array (FPGA) platform.
The algorithm is designed to exploit the processing capabilities of the FPGA installed on the readout boards, ensuring real-time reconstruction of the charge based on the processing of the experiment’s Large Photomultipliers’ fully sampled waveform. By exploiting the flexibility and reconfigurability of FPGAs, the proposed solution achieves a balance between computational complexity and resource utilisation, making it well suited to address the demanding requirements of the JUNO experiment.
This poster outlines the key features of the algorithm, including its ability to handle high throughput data streams with low latency, its versatility and robustness in detecting the characteristics of the input data, and its performance evaluated on an actual JUNO electronics board.
It further demonstrates the potential of FPGA-based solutions to advance the field of neutrino physics. In particular, to detect transient astrophysical phenomena that would otherwise be lost.
| Poster prize | No |
|---|---|
| Given name | Lorenzo |
| Surname | Lastrucci |
| First affiliation | Università degli Studi di Padova |
| Second affiliation | Istituto Nazionale di Fisica Nucleare - Padova |
| Institutional email | lorenzo.lastrucci@unipd.it |
| Gender | Male |
| Collaboration (if any) | JUNO |
