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SLAC Experiment
T-506
Nikolas Guillemaud
Santa Cruz Institute for Particle Physics
Professor Bruce Schumm
International Linear Collider
• ILC in 2 minutes
http://www.linearcollider.org/pdf/ILCposterNEW_200702.pdf
• Verify LHC results
• Physics beyond the Standard Model at 1TeV
• Collisions between e- and e+ are easier to analyze
Main Linac Main LinacDamping
Rings
Main Linac
e+
e-
Detectors
• SiD - Silicon Detector
• Fcal – Forward Calorimeters
• BeamCal – Beamline Calorimeter
BeamCal
LumiCal
International Linear Collider
2. http://www.interactions.org/imagebank/images/SL0077H.jpg
1. http://www.interactions.org/imagebank/images/SL0078H.jpg
(1)
(2)
• Electromagnetic sampling calorimeter
2. http://www-cdf.fnal.gov/~group/WORK/DISS_PAGE/EM_SHOWER.gif
(2)
(1)
1. Prof. Schumm
•Two photon veto
• Instantaneous Luminosity
• High doses of radiation
~100MRad/year
http://fcal.desy.de/e107470/e107471/
http://pages.uoregon.edu/silicondetector/r-d.html
SLAC Experiment T-506
W W
Dry N2
Control
Hardware
15mm
Sample
Rastering
1m
6mm
W
• Test different active detection mediums
for radiation hardness:
GaAs, CVD diamond, Si, Sapphire
• Irradiate and characterize damage
Image Courtesy of Prof. Schumm
Motivations
SLAC T-506:
Mauro Pivi SLAC, ESTB 2011Workshop
• Energy: 3.5-10.5 GeV
• Rate: up to 10 Hz
• Charge per pulse: ≤ 0.15 nC
SLAC T-506:
Mauro Pivi SLAC, ESTB 2011Workshop, Page 6
2 X0 pre-radiator to introduce
slight divergence in shower
Images Courtesy of Prof. Schumm
Not shown: 4 X0 and 8 X0 radiators
before and after sensor
Sensor sample
SLAC T-506:
Dose Rate Calculation:
2
160
1
Rad
Dose
nC
cm

 
 
  
 
 
shower conversion factor 
- Mean fluence of e± per
incident e- as function of
energy
-1 nC on target 2
30.2
nC
cm
 
  2
2
160
10 0.15 30.2 7.25
1
nC nC Rad kRad
Max Dose Rate Hz
nCpulse cm s
cm
 
   
    
    
 
~ 4 Hours Beam Time for 100 doseMRad
SLAC T-506:
• Monte Carlo Simulations
with GEANT
- 1000 incident e- various GeV
• Rastering Simulation
- streamlined
shower conversion factor 
SLAC T-506:
• Charge collection efficiency
• Before and after annealing
• 90Sr ~2MeV β
Source
Sample
PMT
FPGA
Image Courtesy of Prof. Schumm
SLAC T-506:
Old Strip Detector
• 64ch → 1ch readout
-Oscilloscope & Python
• Benchmark
• SLAC training
Image Courtesy of Prof. Schumm
Future Work
Research & Development:
• Dose rate and beam time estimates
• Streamlined DAQ for characterization
• Assist in the selection of detection materials for
use in the ILC
• Serve as test bed for other materials
• Roots for prototype development
Learning:
• Developed GEANT simulation instructions
for future undergrads
• Professor Bruce Schumm
• Professor Belanger
• Thomas Kelley & George “The Greek”
• Vivian Tang
• My fellow aspiring physicists
Charge Collection Efficiency:
SLAC T-506:
1 miss
trig
N
N
  
miss trig coinN N N 
trig PMT noiseN N N 
= # of events counted by Si and PMT in coincidencecoinN
= # of events counted by PMT in seperate runnoiseN
= # of events counted by PMT with sourcePMTN
.

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Guillemaud - SLAC T506 V2

  • 1. SLAC Experiment T-506 Nikolas Guillemaud Santa Cruz Institute for Particle Physics Professor Bruce Schumm
  • 2. International Linear Collider • ILC in 2 minutes http://www.linearcollider.org/pdf/ILCposterNEW_200702.pdf • Verify LHC results • Physics beyond the Standard Model at 1TeV • Collisions between e- and e+ are easier to analyze Main Linac Main LinacDamping Rings Main Linac e+ e- Detectors
  • 3. • SiD - Silicon Detector • Fcal – Forward Calorimeters • BeamCal – Beamline Calorimeter BeamCal LumiCal International Linear Collider 2. http://www.interactions.org/imagebank/images/SL0077H.jpg 1. http://www.interactions.org/imagebank/images/SL0078H.jpg (1) (2)
  • 4. • Electromagnetic sampling calorimeter 2. http://www-cdf.fnal.gov/~group/WORK/DISS_PAGE/EM_SHOWER.gif (2) (1) 1. Prof. Schumm
  • 5. •Two photon veto • Instantaneous Luminosity • High doses of radiation ~100MRad/year http://fcal.desy.de/e107470/e107471/ http://pages.uoregon.edu/silicondetector/r-d.html
  • 6. SLAC Experiment T-506 W W Dry N2 Control Hardware 15mm Sample Rastering 1m 6mm W • Test different active detection mediums for radiation hardness: GaAs, CVD diamond, Si, Sapphire • Irradiate and characterize damage Image Courtesy of Prof. Schumm Motivations
  • 7. SLAC T-506: Mauro Pivi SLAC, ESTB 2011Workshop • Energy: 3.5-10.5 GeV • Rate: up to 10 Hz • Charge per pulse: ≤ 0.15 nC
  • 8. SLAC T-506: Mauro Pivi SLAC, ESTB 2011Workshop, Page 6 2 X0 pre-radiator to introduce slight divergence in shower Images Courtesy of Prof. Schumm Not shown: 4 X0 and 8 X0 radiators before and after sensor Sensor sample
  • 9. SLAC T-506: Dose Rate Calculation: 2 160 1 Rad Dose nC cm             shower conversion factor  - Mean fluence of e± per incident e- as function of energy -1 nC on target 2 30.2 nC cm     2 2 160 10 0.15 30.2 7.25 1 nC nC Rad kRad Max Dose Rate Hz nCpulse cm s cm                   ~ 4 Hours Beam Time for 100 doseMRad
  • 10. SLAC T-506: • Monte Carlo Simulations with GEANT - 1000 incident e- various GeV • Rastering Simulation - streamlined shower conversion factor 
  • 11. SLAC T-506: • Charge collection efficiency • Before and after annealing • 90Sr ~2MeV β Source Sample PMT FPGA Image Courtesy of Prof. Schumm
  • 12. SLAC T-506: Old Strip Detector • 64ch → 1ch readout -Oscilloscope & Python • Benchmark • SLAC training Image Courtesy of Prof. Schumm Future Work
  • 13. Research & Development: • Dose rate and beam time estimates • Streamlined DAQ for characterization • Assist in the selection of detection materials for use in the ILC • Serve as test bed for other materials • Roots for prototype development Learning: • Developed GEANT simulation instructions for future undergrads
  • 14. • Professor Bruce Schumm • Professor Belanger • Thomas Kelley & George “The Greek” • Vivian Tang • My fellow aspiring physicists
  • 15. Charge Collection Efficiency: SLAC T-506: 1 miss trig N N    miss trig coinN N N  trig PMT noiseN N N  = # of events counted by Si and PMT in coincidencecoinN = # of events counted by PMT in seperate runnoiseN = # of events counted by PMT with sourcePMTN .