Ionization Effjciency Studies for Nuclear Recoils in Silicon Marco - - PowerPoint PPT Presentation

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Ionization Effjciency Studies for Nuclear Recoils in Silicon Marco - - PowerPoint PPT Presentation

Ionization Effjciency Studies for Nuclear Recoils in Silicon Marco A. Reyes Department of Physics, U. of Guanajuato Antonella Collaboration XV MWPF 2015 Abstract The Damic Collaboration has set up an experimental array of Charge-Coupled


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Ionization Effjciency Studies for Nuclear Recoils in Silicon

Marco A. Reyes

Department of Physics, U. of Guanajuato

Antonella Collaboration XV MWPF 2015

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The Damic Collaboration has set up an experimental array of Charge-Coupled Devices (CCDs) in a nickel mine, and has developed all analysis tools to discern any known trace of conventional matter from what a DM particle could produce when crossing the CCDs. In order to calibrate the signals from these CCDs, scientists in the Antonella Collaboration have designed experiments to quantify neutron-silicon interactions, assuming that neutrons can mimic DM interactions in the

  • CCDs. Here we present preliminary results from the analysis of

data obtained in these experiments, in particular, the measurement of ionization effjciencies in Silicon and a plastic scintillator.

Abstract

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CCD operation

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  • Damic CCD's measure ionization energy
  • Nuclear recoil energy from DM-Si interaction

Ionization effjciency in Si AND Ionization effjciency in plastic scintillator Antonella Collaboration

  • Prove Lindhard's model (1963) Exp: 1990

Ionization effjciency studies

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Antonella experiment

Target may be SiDet or a scintillator

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6

PMT's characterization

T

  • characterize the signal in a PMT, the

experimental setup consisted of two scintillator bars, with a PMT at each end of the bars

115M

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Scintillator EJ200

Experimental setup at FTB facility

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8

ADC distributions

The ADC distributions may be calculated using a continuous approach, or a discrete approach

NIMA 451 (2000) 623 R.Dossi et al. Methods for precise PE counting with PMT s (LEDs)

xP, x0, σ0 x1, σ1 xn=nx1, σn

2=nσ1 2

Gaussians

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ADC distributions

Charge distributions with two paper masks:

  • ne tiny hole of 0.035 mm in radius, and two

small holes of 1.19 mm radius

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TDC distributions

f(t) = p

1

τ s −τ f exp[−(t− t

0) / τ s]− exp[−(t− t 0) /τ f ]

{ } +

p

2

τ 3 −τ f exp[−(t− t

0) /τ 3]− exp[−(t− t 0) /τ f ]

{ }

Histogrs: TDC for selected ADC bar Lines: normalized TDC prediction

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Antonella at UND

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Detector

We used an X-ray detector which is a Silicon Drift Diode, 29mg mass

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Ionization effjciency

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Callibration: Fe source

Systematic uncertainty dominated by the X-ray detector linear response

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Scientifjc run

 Took data for 10 day

 ∼ 106 gamma+neutron hits in silicon detector  Trigger rate ∼ 170 Hz (of which ∼ 4 Hz real

particles hitting the silicon detector)

 1.5 ×108 triggers, mostly noise from the silicon

detector

 1.8 ×105 events, after requesting hit in a Bar

(PMT in coincidence)

 5.1 ×103 events, after timing and no-saturation

cuts (reject gamma prompt)

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Antonella data

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Antonella data

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Preliminary results

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Conclusions

Scintillator+PMT response was studied Antonella's results: best measurement

  • n Si IE up to date

Ongoing analysis on scintillator IE

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N-Si collisions

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Backup slides

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Antonella DAQ

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Antonella DAQ