Techniques for Overlapped Pulse Discrimination Taylor Nunes 2019 - - PowerPoint PPT Presentation

techniques for overlapped pulse discrimination
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Techniques for Overlapped Pulse Discrimination Taylor Nunes 2019 - - PowerPoint PPT Presentation

Techniques for Overlapped Pulse Discrimination Taylor Nunes 2019 Year End Presentation 1 Motivation Scintillators or CsI Crystals Some detectors have a high rate of accidentals Photomultiplier Tubes Possibility of multiple


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Techniques for Overlapped Pulse Discrimination

Taylor Nunes —2019 Year End Presentation—

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Motivation

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  • Some detectors have a high

rate of accidentals

  • Possibility of multiple decays

in the same time Scintillators or CsI Crystals Photomultiplier Tubes ADC

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  • Based on when the Kaon decays, the signal is expected to

fall inside a certain timing range (veto window)

  • Accidental hits that occur at similar times as the signal can

alter the waveform

  • Can shift the peak, causing it to be outside the veto

window

  • Detect and separate waveform into its individual components

Motivation

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Veto Window

ClockTime

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SLIDE 4
  • Generated individual gaussian pulses over a 64 element array
  • Combined individual pulses to generate a masked waveform
  • ‘Desired Peak’ was held constant
  • (time = 31.5 clock, height = 100 )
  • ‘Masking Peak’ was varied from:
  • (time = 1 to 62 clock)
  • (height = 100 to 20,000)
  • Sample Generation

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Desired Peak

Masking Peak

  • For each ‘Masking Peak’ a

random number within [-0.5, 0.5] was added to time to vary phase

~120,000 waveforms

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SLIDE 5

ΔTime H0 H1

  • Single pulse waveforms should have a constant

ratio

  • Overlapped pulse waveforms will have a larger

ratio corresponding to:

  • Individual peak height ratio -
  • Absolute value of peak timing difference-

Area Peak Area Peak

H0 H1

ΔTime

Peak to Area Comparison Method

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ClockTime

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Peak Calculation

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  • For each point ( t ), checked if height[ t ] was larger than

height[ t - 1 ] and larger than height[ t + 1 ]

  • Two methods
  • 1. Selected height[ t ] as the peak height and t as peak

time (Highest Point)

  • 2. Used the two nearest points to calculate the vertex of

a parabola. (Parabola Fitting)

Datapoints Vertex of 3-point parabola

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SLIDE 7

Peak Calculation

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ratio for Single Pulse Distributions

Area Peak

Area Peak

Count

Area Peak

Count Highest Point Parabola Fitting

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All Overlapped Waveforms

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(Desired Peak) H0 (Masking Peak) H1

ΔTime

Area Peak

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H0 H1

ΔTime

Area Peak Ratio for Overlapped Peaks

Reduction from peaks lining up Area reduction from waveform being cut off

ClockTime ClockTime

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SLIDE 10

Removed all waveforms that had 2 definitive peaks

Waveforms with Only One Peak

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Area Peak

Count

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SLIDE 11

Waveforms with Only One Peak

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ΔTime (Desired Peak) H0 (Masking Peak) H1

Area Peak

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SLIDE 12
  • Check distributions with noise
  • Replace gaussian with a more accurate representation
  • Check other discrimination methods that can decompose

the waveform into its separate components

Next Steps

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Backup

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SLIDE 14

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Area Peak

ΔTime

Count