Radiation Shielding Assessment for MuCool Experimental Enclosure C. Johnstone 1), I. Rakhno 2) 1) Fermi National Accelerator Laboratory, Batavia, Illinois.

Slides:



Advertisements
Similar presentations
Stefan Roesler SC-RP/CERN on behalf of the CERN-SLAC RP Collaboration
Advertisements

Modified Moliere’s Screening Parameter and its Impact on Calculation of Radiation Damage 5th High Power Targetry Workshop Fermilab May 21, 2014 Sergei.
Детектори - II 4-ти курс УФЕЧ Спирачно лъчение (bremsstrahlung) Z 2 electrons, q=-e 0 M, q=Z 1 e 0 A charged particle of mass M and charge q=Z.
Particle interactions and detectors
MARS15 Simulations of the MERIT Mercury Target Experiment Fermilab March 18, Neutrino Factory and Muon Collider Collaboration meeting Sergei.
Pion yield studies for proton drive beams of 2-8 GeV kinetic energy for stopped muon and low-energy muon decay experiments Sergei Striganov Fermilab Workshop.
Counting Cosmic Rays through the passage of matter By Edwin Antillon.
Chris Rogers, MICE CM16 Wednesday Plenary Progress in Cooling Channel Simulation.
Temporary shielding for the 20" vertical penetration Igor Rakhno November 17, 2008.
Particle Interactions
Chris Rogers, Analysis Parallel, MICE CM17 Progress in Cooling Channel Simulation.
Radiation therapy is based on the exposure of malign tumor cells to significant but well localized doses of radiation to destroy the tumor cells. The.
RF background, analysis of MTA data & implications for MICE Rikard Sandström, Geneva University MICE Collaboration Meeting – Analysis session, October.
A. Kurup, I. Puri, Y. Uchida, Y. Yap, Imperial College London, UK R. B. Appleby, S. Tygier, The University of Manchester and the Cockcroft Institute, UK.
Lecture 5: Electron Scattering, continued... 18/9/2003 1
NEEP 541 Radiation Interactions Fall 2003 Jake Blanchard.
Does a nucleon appears different when inside a nucleus ? Patricia Solvignon Argonne National Laboratory Postdoctoral Research Symposium September 11-12,
Applications of neutron spectrometry Neutron sources: 1) Reactors 2) Usage of reactions 3) Spallation sources Neutron show: 1) Where atoms are (structure)
Lecture 1.3: Interaction of Radiation with Matter
Space Instrumentation. Definition How do we measure these particles? h p+p+ e-e- Device Signal Source.
MCTF C. Johnstone MUTAC Meeting 8-10 April Debut of the MTA beamline Description, status and commissioning plans.
Department of Physics University of Oslo
Physics Modern Lab1 Electromagnetic interactions Energy loss due to collisions –An important fact: electron mass = 511 keV /c2, proton mass = 940.
FNAL, May 10, Introduction for Beam Diagnostics Laboratory Main Mission: R&D on charged particle beam diagnostics for e + /e - linear colliders.
1 Nuclear Physics and Electron Scattering. 2 Four forces in nature –Gravity –Electromagnetic –Weak –Strong  Responsible for binding protons and neutrons.
Multiple Scattering (MSC) in Geant4 Timothy Carlisle Oxford.
Nuclear Reactions - II A. Nucleon-Nucleus Reactions A.1 Spallation
Russian Research Center” Kurchatov Institute” Theoretical Modeling of Track Formation in Materials under Heavy Ion Irradiation Alexander Ryazanov “Basic.
Modeling Production, Interactions and Transport Fermilab November 14, 2005 Fermilab ILC-CAL Nikolai Mokhov, Fermilab.
Alpha and Beta Interactions
1 dE/dx  Let’s next turn our attention to how charged particles lose energy in matter  To start with we’ll consider only heavy charged particles like.
Calorimeters Chapter 21 Chapter 2 Interactions of Charged Particles - With Focus on Electrons and Positrons -
Radiation damage calculation in PHITS
Monte Carlo methods in ADS experiments Study for state exam 2008 Mitja Majerle “Phasotron” and “Energy Plus Transmutation” setups (schematic drawings)
Electrons Electrons lose energy primarily through ionization and radiation Bhabha (e+e-→e+e-) and Moller (e-e-→e-e-) scattering also contribute When the.
C. Oppedisano for the ALICE Collaboration. 5 Jun 2012 C. Oppedisano 2/10 Centrality in p-A interactions can be defined through the number of collisions.
Interactions of Particles with Matter
Detector Monte-Carlo ● Goal: Develop software tools to: – Model detector performance – Study background issues – Calculate event rates – Determine feasibility.
February 14, 2012 RESMM’12 Improved description of ion stopping power in compounds in MARS code Igor Rakhno Fermilab, APC.
Cosmic rays at sea level. There is in nearby interstellar space a flux of particles—mostly protons and atomic nuclei— travelling at almost the speed of.
Chapter 5 Interactions of Ionizing Radiation. Ionization The process by which a neutral atom acquires a positive or a negative charge Directly ionizing.
Charged Kaon Production Yield Studies with Stretcher Sergei Striganov Fermilab Future of Kaon Physics at Fermilab August 21, Fermilab.
March 2, 2011 TJRPhysics Processes Missing from our Current Simulation Tools 1 Tom Roberts Muons, Inc. This is the current list − Please help us to complete.
Lecture 9: Inelastic Scattering and Excited States 2/10/2003 Inelastic scattering refers to the process in which energy is transferred to the target,
Particle Detectors for Colliders Robert S. Orr University of Toronto.
MCS: Multiple Coulomb Scattering Sophie Middleton.
Recent Studies on ILC BDS and MERIT S. Striganov APD meeting, January 24.
Neutron measurement with nuclear emulsion Mitsu KIMURA 27th Feb 2013.
1 Neutron Effective Dose calculation behind Concrete Shielding of Charge Particle Accelerators with Energy up to 100 MeV V. E Aleinikov, L. G. Beskrovnaja,
Frictional Cooling A.Caldwell MPI f. Physik, Munich FNAL
Numerical Model of an Internal Pellet Target O. Bezshyyko *, K. Bezshyyko *, A. Dolinskii †,I. Kadenko *, R. Yermolenko *, V. Ziemann ¶ * Nuclear Physics.
Radiation study of the TPC electronics Georgios Tsiledakis, GSI.
Marina Golubeva, Alexander Ivashkin Institute for Nuclear Research RAS, Moscow AGeV simulations with Geant4 and Shield Geant4 with Dpmjet-2.5 interface.
Summary of radiation shielding studies for MTA Muon production at the MiniBooNE target Igor Rakhno August 24, 2006.
Muon-induced neutron background at Boulby mine Vitaly A. Kudryavtsev University of Sheffield UKDMC meeting, ICSTM, London, 27 June 2002.
Measurement of 400 MeV Proton Beam Intensity and Transmission Through Collimator of HPRF Cavity at Fermilab MuCool Test Area M. R. Jana 1, M. Chung 1,
Prompt dose upstream the 12-ft concrete shielding blocks Igor Rakhno May 4, 2007.
Chapter 2 Radiation Interactions with Matter East China Institute of Technology School of Nuclear Engineering and Technology LIU Yi-Bao Wang Ling.
Monte Carlo methods in spallation experiments Defense of the phD thesis Mitja Majerle “Phasotron” and “Energy Plus Transmutation” setups (schematic drawings)
Background simulations: update and simulations of absorbed dose
Measurements and FLUKA Simulations of Bismuth and Aluminum Activation at the CERN Shielding Benchmark Facility(CSBF) E. Iliopoulou, R. Froeschl, M. Brugger,
Methods of Experimental Particle Physics
Summary of hadronic tests and benchmarks in ALICE
Elastic Scattering in Electromagnetism
Physics Processes Missing from our Current Simulation Tools
How to stop a, b, g-rays and neutrons?
Higgs Factory Backgrounds
FLUKA SIMULATION OF MUON DETECTOR,MUCH,
PHYS 3446 – Lecture #14 Wednesday,March 7, 2012 Dr. Brandt
Background Simulations at Fermilab
Presentation transcript:

Radiation Shielding Assessment for MuCool Experimental Enclosure C. Johnstone 1), I. Rakhno 2) 1) Fermi National Accelerator Laboratory, Batavia, Illinois 2) University of Illinois at Urbana-Champaign, Urbana, Illinois

3D Geometry Model of the MuCool Test Area (MTA) Proton Beam & Target Calculated Dose Distributions & Neutron Energy Spectra

Elevation View of the MARS Model of the MTA

Plan View

Beam & Target Beam: 400-MeV protons; σ r = 1cm p/s or 6.7x10 12 p/pulse at 15 Hz repetition rate Proton interaction lengths, λ (cm) Targets Target L (cm) R (cm)% of λ tot LH Cu LH 2 Al Cu λ tot λ inel

Spallation neutron studies → full absorption (≈100%) targets of heavy & dense materials (Pb, U nat ) are used. It is claimed that the facility can serve as a multi- purpose one for future operations. The 1-cm thick copper target (10% of interaction length) is considered as a generic (modest “averaged”) target.

Dose Equivalent above the Berm (normal operation) Material (density, g/cm 3 ) Attenuation length, α (cm) Compacted soil (2.24) 39 High-density concrete (3.64) 28 Iron (7.87) 23

Dose Equivalent above the Berm (normal operation) Calculated shielding compositions which provide the dose level of 0.5 mrem/hr on the top of the MTA shielding.

Dose Equivalent in the Access Pit (normal operation) Lower Level Upper Level

Dose Equivalent in the Cryo Room (normal operation) 10" penetration 4" and 8" penetrations

Neutron Energy Spectra in the 10" Penetration Near target hall Near cryo room

Conclusions About 14' of heavy concrete is required above the MTA ceiling to provide 0.5 mrem/hr. High dose is expected at the parking lot and access pit (≈10 and mrem/hr, respectively) within framework of the current design. Additional shielding is required in the target hall and/or cryo room. No access to the cryo room is permitted with the beam on. The access pit should be fenced.

Sensitivity Study for a MICE Hydrogen Absorber D. Errede 1), I. Rakhno 1), S. Striganov 2) 1) University of Illinois at Urbana-Champaign, Urbana, Illinois 2) Fermi National Accelerator Laboratory, Batavia, Illinois

Some uncertainties for emittance measurements & calculations Analytics & Monte Carlo results New multiple Coulomb scattering theory

One of the goals of MICE is “… achieving an absolute accuracy on the measurement of emittance of 0.1% or better”   n vs.  H (hydrogen density variations due to temperature variations). d  n /dz = -(Cooling/dE/dz) + (Heating/M.C.S.) Re-evaluated heating term due to multiple scattering for muons in hydrogen.

Analytical Approach  n  /  n  = -1/  2  dE  /dz   z/E  + … Phys. Rev. E52 (1995) /  2  dE  /dz   z/E   at p  = 200 MeV/c with dE  /dz from At. Data & Nucl. Data Tables 78 (2001) 183.

Monte Carlo approach  g =  x  x´    n =  x  px /m  c    xx   xx   xy   xy   yx   yx   yy   yy  x  x -  x  etc. x  p x /m  c etc.

Magnetic field distribution in the central hydrogen absorber (field direction, not magnitude, is shown) Magnetic field map bfield.sfofo (Yagmur Torun)

MARS model of a hydrogen absorber 100 muon tracks

Monte Carlo results 200 MeV/c muons 0.1% in  n  2% in  H

Multiple Coulomb Scattering GEANT4: “ In the case of heavy charged particles ( , , p) the mean free path (MFP) is calculated from the electron or positron 1 values with a “scaling” applied. This is possible because the MFP 1 depends only on the variable P , where P is the momentum, and  is the velocity of the particle”. 1/ k = 2  n a The cross-section  describes projectile-nucleus elastic scattering AND projectile-electron scattering. As for the integrand, the “scaling” is OK. However the integration limits behave differently (by relativistic kinematics): M p  M t 0     projectile-nucleus M p  M t 0     /2 electron-electron M p  M t sin   M t /M p muon-electron

Multiple Coulomb Scattering G. Moliere 1948 Z 2 H. Bethe 1953 Z 2  Z(Z+1) U. Fano 1953  max (E), different screening for nucleus and electron, non-relativistic energies. A distribution with undefined region of applicability. …………………………………… A.Tollestrup, J. Monroe  2000 MuCool 176 Analogous to Fano + correct atomic form-factors for light elements. R. Fernow 2000 NuMu Note #123 Moliere Z(Z+1) is good for heavy projectiles Measurements by G. Shen et al. PR D20 (1979) 1584 for 50 to 200 GeV/c protons. S. Striganov 2003  max (E), relativistic energies. A distribution for all thicknesses and defined region of applicability of Fano correction. Measurements by B. Gottschalk et al. NIM B74 (1993) 467 for 159 MeV protons in 14 materials and analysis for 6 other proton measurements (1 MeV to 200 GeV). It was shown that Moliere theory with Fano correction is accurate to better than 1% on the average for protons.

FH FL FH FL FH

Conclusions Hydrogen density variation of 2% gives rise to  n  variation of about 0.1%. New multiple Coulomb scattering theory enables to describe experimental data for protons within 1% accuracy on the average and adjust employed m.c.s. distributions to simulation step-sizes.