Upload
nodin
View
47
Download
0
Tags:
Embed Size (px)
DESCRIPTION
Digital Signal Processing of Scintillator Pulses. Saba Zuberi, Wojtek Skulski, Frank Wolfs University of Rochester. Outline. Description of the DDC-1 digital pulse processor. Response to scintillator pulses. Gamma-ray spectra obtained with DDC-1 Pulse Shape Discrimination and Particle ID - PowerPoint PPT Presentation
Citation preview
S. Zuberi, University of Rochester
Digital Signal Processing of Scintillator Pulses
Saba Zuberi, Wojtek Skulski, Frank Wolfs
University of Rochester
S. Zuberi, University of Rochester
Outline
• Description of the DDC-1 digital pulse processor.
• Response to scintillator pulses.
• Gamma-ray spectra obtained with DDC-1
• Pulse Shape Discrimination and Particle ID
• Conclusion
S. Zuberi, University of Rochester
USBprocessor connector
FPGA
JTAG connector
Fast reconstruction DAC 65 MHz * 12 bits
Signal OUT
Signal IN
Variablegain amp
ADC 65 MHz * 12 bits
Single Channel Prototype Digital Pulse Processor
• 12-bit sampling ADC, operating at 48MHz sampling rate
•USB interface processor, 8K internal memory
•Output reconstruction channel for development and diagnostic
S. Zuberi, University of Rochester
DDC-1 Digital Pulse Processor
S. Zuberi, University of Rochester
Response to Scintillator Pulses
• Fast Plastic Scintillator BC-404– Original decay time: 1.8ns
– Nyquist filter fc=20 MHz
• Good response to very fast pulse
ADC trace Sample value
Sample number20.0 30.0 40.0 50.0 60.0
1400.0
1600.0
1800.0
2.0E+3
2200.0
Samples
1 sample = 20.8 ns
• Slower Scintillator Pulse:–Signal from Bicron NaI(Tl)
–Effective Decay time: 0.23s
• Good response to slower pulse
S. Zuberi, University of Rochester
Response to scintillator pulses: Phoswich Detector
CsI(Tl) crystal
cosmic ray
phototube
teflon
Bicron BC-404FAST
SLOWADC trace Sample value
Sample number0.0 50.0 100.0 150.0 200.0
1700.0
1800.0
1900.0
2.0E+3
2100.0
SLOW
FAST
Samples
• Fast plastic pulse clearly separated from slower decay in CsI(Tl)
S. Zuberi, University of Rochester
Response to scintillator pulses: CsI(Tl)
• natThorium source:
-particle– High ionization density
– Overall decay time: 0.425s
-ray– Low ionization density
– Longer overall decay time than -particle (0.695s for electron)
• Clear pulse shape dependence on type of radiation
ADC trace Sample value
Sample number50.0 100.0 150.0 200.0
1900.0
1950.0
2.0E+3
2050.0
2100.0
gamma-ray
Samples
ADC trace Sample value
Sample number50.0 100.0 150.0 200.0
2.0E+3
2050.0
2100.0
alpha-particle
Samples
S. Zuberi, University of Rochester
Gamma Ray Spectra
• Signals obtained from Bicron 2” x 2” NaI(Tl)
• X-rays from excitation of Pb casing of detector
• Low energy region:– 56Ba characteristic x-ray, 33keV,
from 137Cs decay measured
– FWHM = 23.2keV
• High energy region :– FWHM of 662keV 137Cs: 7.1%
60Co
137Cs
S. Zuberi, University of Rochester
Pulse Shape Discrimination: Phoswich
• Thick natTh source used with 1cm3 CsI(Tl) + 1cm3 Plastic detector
• Select events by leading-edge discriminator programmed in PC GUI
• Cut signals in plastic determined by FAST/SLOW
• Discard ADC overflow
S. Zuberi, University of Rochester
Particle ID: Cs-137 & Co-60
• PID = TAIL/TOTAL
Compton Scattering
662keV
S. Zuberi, University of Rochester
Particle ID in CsI(Tl) + phototube
• Distinct bands obtained for -particles and rays• Cosmics passing through CsI(Tl) look like rays. • Energy independent PID• FOM = 1.85, constant for 1 to 4 MeV• FOM drops to 0.78 for 0.5 to 1 MeV
• Not as good as FOME<1MeV = 1.89 obtained [1] for CsI(Tl)+ photodiode
• PID windows not yet optimized.• Digital smoothing filter not yet applied.
• FOM = peak separation/ FWHM
[1] W. Skulski et al, Nucl. Instr. and Meth. A 458 (2001) 759
S. Zuberi, University of Rochester
Conclusion
• Wide range of signals handled by DDC-1, including fast plastic signals.
• Nyquist filter is crucial for fast pulses.• NaI(Tl) -ray spectra also show X-ray peaks at 33keV. • Pulse shape discrimination demonstrated with CsI(Tl).
– Energy independent PID obtained.– PID not as good as CsI+photodiode. – PID algorithms will be optimized.
• Applications of the DDC-1:– Algorithm development, student projects.