
During January 2025, Daniel Lis developed a Pileup Rejection and Event Analysis feature for the sPHENIX-Collaboration/analysis repository. He engineered a PileupRejector class in C++ to identify and reject pileup events in particle physics data by analyzing MbdPmtHit timing and charge-sum metrics. The implementation included event decoding, pileup determination, and event information printing, enhancing both analysis clarity and data quality. Leveraging skills in build systems, data analysis, and event reconstruction, Daniel’s work addressed the challenge of pileup contamination, enabling more reliable downstream physics results. The feature was delivered as a reproducible, dedicated code commit for future extensibility.

January 2025 monthly summary for sPHENIX-Collaboration/analysis. Delivered the Pileup Rejection and Event Analysis feature, introducing a PileupRejector to identify and reject pileup events by analyzing MbdPmtHit data with timing and charge-sum metrics. The feature supports event decoding, pileup determination, and event information printing to improve analysis clarity and data quality, enabling more reliable downstream physics results.
January 2025 monthly summary for sPHENIX-Collaboration/analysis. Delivered the Pileup Rejection and Event Analysis feature, introducing a PileupRejector to identify and reject pileup events by analyzing MbdPmtHit data with timing and charge-sum metrics. The feature supports event decoding, pileup determination, and event information printing to improve analysis clarity and data quality, enabling more reliable downstream physics results.
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