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Hot Cell Algorithms

This document outlines advanced algorithms for identifying 'hot' cells based on specific energy thresholds and neighboring cell energy comparisons. Thresholds for different energy levels in HB, HE, HO, and HF cells are defined, with algorithms including NADA (Neighbor Cell Algorithm) and Digi Pedestal methods. The algorithms establish criteria, including ADC counts and energy levels, to classify cells as hot or not hot. This systematic approach aims to optimize event detection by intelligently filtering energy data using defined fractions and adjustments, crucial for particle physics research.

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Hot Cell Algorithms

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  1. Hot Cell Algorithms

  2. Hot Cell Algorithms • Threshold – hot if recHit energy > certain value • NADA – hot if recHit energy large compared to sum of neighbor cells • Digi – hot if sum of ADC counts > 3 sigma above pedestals

  3. Threshold Values Cells hot if > threshold energy HB Threshold: 3 GeV HE Threshold: 3 GeV HO Threshold: 2 GeV HF Threshold: 9 GeV

  4. NADA (neighboring cell) algorithm • Cell < EnergyThreshold1 not considered hot • EnergyThreshold1 <Cell <EnergyThreshold2: • Hot if sum of neighbors < 0.1 GeV • Energy Threshold2 < Cell <EnergyThreshold3: • Hot if sum of neighbors < (fraction of Cell energy) • Cell > EnergyThreshold3: • Always Hot

  5. NADA HB Not hot if < 1.5 GeV Hot if: 1.5 GeV<Cell<2.25 GeV and sum of neighbors < 0.1 GeV Hot if: 2.25 GeV<Cell< 10 GeV and sum of neighbors < 33% * Cell Hot if: Cell > 10 GeV HOT NOT HOT NOT HOT

  6. NADA HF • Not Hot if: • Cell < 1.5 GeV • Hot if: • Cell > 1.5 GeV and neighbor sum < 57%Cell • Hot if: • Cell > 20 GeV HOT

  7. Digi Pedestal Algorithm • Find time slice T with largest ADC count • Sum ADC counts over 4 time slices from [T-1] to [T+2] • Sum pedestals over time slices • Add pedestal widths, assuming pedestals uncorrelated • Cell hot if (ADC – pedestal) > 3s

  8. HB, HF digi distributions HB HF “Digi Energy” refers to sum (ADC – pedestal)

  9. Caveats • Algorithms used on event-by-event basis; in order to be considered hot, cell must pass algorithm in some minimum fraction (5%) of events • Parameters here are by no means final • Tuned to find small number (but not necessarily zero) of hot cells each event.

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