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SiPixelGainCalibrationForHLTUtilities.h
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1 #ifndef CondFormats_SiPixelObjects_interface_alpaka_SiPixelGainCalibrationForHLTUtilities_h
2 #define CondFormats_SiPixelObjects_interface_alpaka_SiPixelGainCalibrationForHLTUtilities_h
3 
4 #include <cstdint>
5 
6 #include <alpaka/alpaka.hpp>
7 
9 
11  ALPAKA_FN_HOST_ACC ALPAKA_FN_ACC ALPAKA_FN_INLINE static std::pair<float, float> getPedAndGain(
13  uint32_t moduleInd,
14  int col,
15  int row,
16  bool& isDeadColumn,
17  bool& isNoisyColumn) {
18  auto start = view.modStarts()[moduleInd];
19  auto end = view.modEnds()[moduleInd];
20  auto nCols = view.modCols()[moduleInd];
21  // determine what averaged data block we are in (there should be 1 or 2 of these depending on if plaquette is 1 by X or 2 by X
22  unsigned int lengthOfColumnData = (end - start) / nCols;
23  unsigned int lengthOfAveragedDataInEachColumn = 2; // we always only have two values per column averaged block
24  unsigned int numberOfDataBlocksToSkip = row / view.numberOfRowsAveragedOver();
25 
26  auto offset = start + col * lengthOfColumnData + lengthOfAveragedDataInEachColumn * numberOfDataBlocksToSkip;
28  ALPAKA_ASSERT_ACC(offset < 3088384);
29  ALPAKA_ASSERT_ACC(0 == offset % 2);
30 
31  auto lp = view.v_pedestals();
32  auto s = lp[offset / 2];
33 
34  isDeadColumn = (s.ped & 0xFF) == view.deadFlag();
35  isNoisyColumn = (s.ped & 0xFF) == view.noisyFlag();
36  float decodeGain = float(s.gain & 0xFF) * view.gainPrecision() + view.minGain();
37  float decodePed = float(s.ped & 0xFF) * view.pedPrecision() + view.minPed();
38 
39  return std::make_pair(decodePed, decodeGain);
40  };
41 };
42 
43 #endif // CondFormats_SiPixelObjects_interface_alpaka_SiPixelGainCalibrationForHLTUtilities_h
Definition: start.py:1
ALPAKA_FN_HOST_ACC ALPAKA_FN_ACC static ALPAKA_FN_INLINE std::pair< float, float > getPedAndGain(const SiPixelGainCalibrationForHLTSoAConstView &view, uint32_t moduleInd, int col, int row, bool &isDeadColumn, bool &isNoisyColumn)
col
Definition: cuy.py:1009