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Trigger Systematics: Optimization and Performance Evaluation in Particle Physics Experiments

This study explores trigger systematics in particle physics experiments, optimizing event tagging and evaluating trigger performance. The analysis includes dielectron invariant mass plots, correlation between electromagnetic and hadronic triggers, implementation limits of extreme algorithms, and more.

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Trigger Systematics: Optimization and Performance Evaluation in Particle Physics Experiments

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  1. Leftover from the TDRs (from Hans) • L0: • Short term: • Dielectron invariant mass plot • Correlation between electromagnetic and hadronic trigger • … • Medium term: • Optimization for tagged events. • Extreme algorithms as a function of luminosity: implementation limit • Multiple tresholds, e- trigger,… • … Trigger Meeting, F.Teubert

  2. Leftover from the TDR (from Hans) • L1: • Short term: • What mbias triggers L1? Pt mistakes, multiple vertices, etc… • Look as a function of the impact parameter. • Medium term: • Can we optimize further the execution time? Do we need backward tracks? • Why L1 is not ~100% efficient? Do we miss the B-tracks? Signed vs unsigned ip • Do we need better VELO resolution? TELL1 could help… • Offline Muons in L1: what rates? As a function of invariant mass, pt (tagging muons),… Trigger Meeting, F.Teubert

  3. Leftover from the TDR (from Hans) • L1-confirmation: • Short term: • Why it works? dp/p, ghosts,… • What mbias events trigger? • … • Medium term (L1-upgrade): • What data from T1-T3 is needed in L1? data/time/money vs gain… • … Trigger Meeting, F.Teubert

  4. Leftover from the TDR (from Hans) • HLT: • Medium term: • Develop an inclusive selection: use of better dp/p, look for secondary vertices,… • Use of RICH in HLT? • Exclusive selection: check channels in TDR, group them and measure time… • Trigger Systematics: • Medium term: • What is the effect of the trigger on the mistag rate? • Example case, psiphi with mistag from Dspi… • … Trigger Meeting, F.Teubert

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