Rn Diffusion In Polyethylene Wolfgang Rau Queen’s University Kingston  Motivation  Experimental Setup – Diffusion Model  Measurement – Efficiency Simulation.

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Presentation transcript:

Rn Diffusion In Polyethylene Wolfgang Rau Queen’s University Kingston  Motivation  Experimental Setup – Diffusion Model  Measurement – Efficiency Simulation  Data Analysis  Motivation o PE used as shielding in DM experiments o Rn daughter 210 Po may produce neutrons ( ,n) o Determine allowed exposure of PE to air  Experimental Setup – Diffusion Model  Measurement – Efficiency Simulation  Data Analysis 1 LRT workshop 2010 at SNOLAB Radon Diffusion In Polyethylene

Rn Diffusion In Polyethylene LRT workshop 2010 at SNOLAB2 Radon Chamber PE sample (stack of sheets) Fill radon into chamber repeatedly Let it diffuse and decay 1 Exposure - Diffusion Constant Rn concentration infinite exposure time  exponential profile Actual Rn concentration C(t) (example):  need a diffusion and decay model x t t x

Rn Diffusion In Polyethylene PE LRT workshop 2010 at SNOLAB3 2 Detection  Detector Monte Carlo for  emission (geometry) Determine  energy loss in PE (SRIM)  detection efficiency and E spectrum Rn decay in air pockets  surface Po  ignore high energy events  detector: Ortec, NIM module with two detector chambers MCA, Maestro

Rn Diffusion In Polyethylene LRT workshop 2010 at SNOLAB4 3 Analysis NOTE: 210 Po continues to build up long after exposure (part of diff & decay model) Fit model with 2 free parameters (diffusion constant and solubility) to data For visualization: extrapolate and convert measured Po rate to 210 Pb rate at end of exposure based on best fit model parameters Calculated  2 contours to determine uncertainties  two parameters correlated Calculate 210 Po activity  uncertainty surprisingly small

Rn Diffusion In Polyethylene LRT workshop 2010 at SNOLAB5 4 Short-lived Daughters Expose single sheet Measure immediately after end of exposure Modeled  s from 222 Rn, 218 Po and 214 Po 3 parameters: diff. constant, surface activity,  t (end of exposure – start of measurement) NO solubility Evaluate in 4 energy bins Good agreement between model and data Diffusion constant significantly larger

Rn Diffusion In Polyethylene LRT workshop 2010 at SNOLAB 6 5 Results 210 PoShort-lived SolubilityDiff const [e12 m 2 /s] Diff length [mm] Diff const [e12 m 2 /s] Diff length [mm] UHMWPE 0.68      0.1 PE 0.45     0.1 Additional systematics Actual Rn activity Air pockets likely small Lateral diffusion (< 10 %) Vacuum? Humidity? 6 Conclusion Method works reasonably well Potential to reduce systematics n production in PE not yet determined 7 Thanks To my (summer) students: Brian Drover, Mina Rohanizadegan, Graham Edge, Hai Jun Cho