Silicon X-ray Absorption and Considerations for APS Run

Silicon X-ray Absorption and Considerations for APS Run
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This presentation by Bruce Schumm at the UC Santa Cruz meeting discusses the basic principles of silicon X-ray absorption, including overall attenuation length, Compton fraction, and considerations for an APS run. It covers inputs for modeling X-ray absorption, photon cross sections, attenuation coefficients, energy absorption coefficients, Compton scattering via Klein-Nishina formula, and more. The images provided illustrate attenuation length, absorption probability in silicon, Compton fraction, and more.

  • Silicon X-ray Absorption
  • APS Run
  • Bruce Schumm
  • UC Santa Cruz
  • Attenuation Length

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  1. A Basic Silicon X-ray Absorption MC and Considerations for an APS Run Argonne/Los Alamos UMA Meeting 12/5/18 Bruce Schumm, SCIPP, UC Santa Cruz

  2. The SCIPP X-ray Absorption MC Inputs Overall attenuation length and PE vs. Compton fraction Above 10 keV: Photon Cross Sections, Attenuation Coefficients, and Energy Absorption Coefficients from 10 keV to 100 GeV, NSRD-NBS 29, August 1969, p50 Below 10 keV: https://physics.nist.gov/PhysRefData/XrayMassCoef/ElemTab/z14.html; extraplate Compton fraction from above reference. Choose the values that don t include coherent (Thomson) scattering Modeling of PE effect Photoelectron given energy E - EK(EKis K-shell energy of 1.84 keV) and sin2 distribution 94.5% of time remaining energy goes into single Auger electron 5.5% of time remaining energy goes into fluorescence photon of energy 1.80 keV and Auger of 0.04 keV Fluorescence fraction and mean energy from R.T. Berger, The X- or Gamma-Ray Energy Absorption or Transfer Coefficient: Tabulations and Discussion, Radiation Research, Vol. 15, No. 1 (Jul., 1961), pp. 1-29

  3. The SCIPP X-ray Absorption MC contd More Inputs Compton Scattering given by Klein-Nishina Formula; for ease of reference: Cross section from https://en.wikipedia.org/wiki/Klein%E2%80%93Nishina_formula Electron angular distribution from https://en.wikipedia.org/wiki/Compton_scattering Electron dE/dX Total path length from stopping-power values at https://physics.nist.gov/PhysRefData/Star/Text/ESTAR.html Assume single deposition at point along the path (mean point of deposition for non- relativistic particle with stopping power proportional to 1/ 2 Electron path length is less than 1 m for E < 6 keV Multiple interactions If absorption process generates final-state photon, continue simulation Allow up to 4 photon scatters

  4. Attenuation Length and Overall Absorption Probability in 1cm of Silicon Attenuation Length ( m) vs Energy (keV) Interaction Probability in 1 cm depth 1.2 100000 1 10000 0.8 1000 0.6 100 0.4 10 0.2 0 1 1 10 100 1000 1 10 100 1000

  5. Compton Fraction and Absorption Probability in 100 m Thick Sensor Absorption Probability vs Photon Energy (keV) Compton Fraction vs X-ray Energy (keV) 1 1 1 10 100 1000 1 10 100 1000 0.1 0.1 0.01 0.01 0.001 0.001

  6. BACKUP Compton Fraction vs X-ray Energy (keV) 1 1 10 100 1000 0.1 0.01 0.001

  7. BACKUP Compton Fraction vs X-ray Energy (keV) 1 1 10 100 1000 0.1 0.01 0.001

  8. Updated Component Simulation Latest HGTD geometry & material Best (conservative) guesses at material distributions both inside and outside (albedo) of HGTD Simulate ~10K each of all-hadronic ttbar, minimum bias Consultants: Christian Ohm (KTH) and Sabrina Sacerdoti (LAL) for HGTD Ariel Schwartzman (SLAC), Dirk Zerwas (LAL), Irena Nikolic (LPNHE Paris) for overall generation/simulation support Much of this work happening for free from our perspective; we need to request and oversee generation of the MinBias and hadronic ttbar samples.

  9. Readout Noise Discussion just now starting between sensor and readout communities Must account for gain loss with radiation dose; picture just clarifying for sensors Or, expected 10% occupancy at inner radii may set scale for conservative estimate of noise rate (i.e., 1%) Consultants: Hartmut Sadrozinski (SCIPP)

  10. ALTIROC Architecture and Data Flow Tracking Stream (as opposed to LUM stream) Data rates from simulation Local buffering is Matched Hit Buffer Readout speed and size of Matched Hit Buffer are connected (more of one allows less of the other) Need to understand/provide guidance to design procedure for ALTIROC system Consultants: Raimon Casanova Mohr (IFAE)

  11. Minimum Readout Speed Use ttbar events with pileup, embedded in minbias stream Find rate of information loss (from ttbar event) Determine required bandwidth from distribution of hits, and total readout latency (readout time for most occupied module) Will be location (especially ) dependent Most important input to quantifying LpGBTx needs Consultants: Extension of studies done previously by Christina Agapopoulou (LAL)

  12. LpGBTx Requirements Input from extended data-rate studies Additional requirements from DCS (slow control) functions? Additional requirements from ALTIROC control and monitoring? FELIX protocol and communication requirements? Raimon Casanova Mohr for ALTIROC Usha Mallik (Iowa) for DCS Francesco Lanni (BNL), Jinlong Zhang (ANL), Giovanna Lehmann- Miotto (CERN) for FELIX

  13. FELIX Component Count Back of the envelope estimates have been done Need to be collected and documented Need to be re-done with potentially updated LpGBT findings, and confirmed by experts. Consultants: FELIX experts on the last page

  14. Luminosity System Component Count Independent data stream splitting off at ALITROC output Already part of LpGBT estimates, which are likely robust (system has 100% occupancy by definition) Physical separation of streams downstream of LpGBT Custom FELIX-like system (but faster) under development; led by KTH Estimates of system costs need to be done, more or less from scratch Consultants: Jonas Strandberg (KTH), Christian Ohm (KTH)

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