Speaker
Description
Public datasets from high energy physics experiments can help spur the development of new analysis methods and techniques. This is particularly true in the Liquid Argon Time Projection Chamber (LArTPC) community, where many detectors sharing the same technology have been operating concurrently at Fermilab and CERN, enhancing the benefit of shared, broadly-available datasets for cross-experiment and generic LArTPC imaging developments.
MicroBooNE is a LArTPC that operated at Fermilab in the BNB and NuMI beams from 2015 through 2021. This dataset benefits from having been calibrated and extensively used for physics analysis. MicroBooNE released a first public dataset in 2023 which has led to exciting new reconstruction developments introduced by the broader neutrino LArTPC and AI/ML developer community.
This talk will discuss the experience of sharing MicroBooNE data so far, and opportunities with the existing and possible future data releases that can further stimulate new breakthroughs across aspects of HEP data analysis from detector monitoring and calibration to high-level analysis development.
| Contribution types | Standard talk (20min + 5min Q/A) |
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