Alex Howard PH-SFT LCG-PV 10 th May 2006 Neutron Benchmark for Geant4 using TARC – initial status 1)TARC – experimental set-up and aims 2)Geant4 Simulation.

Slides:



Advertisements
Similar presentations
Cheikh Anta Diop University, Dakar (SENEGAL)
Advertisements

Stefan Roesler SC-RP/CERN on behalf of the CERN-SLAC RP Collaboration
Combined evaluation of PFNS for 235 U(n th,f), 239 Pu(n th,f), 233 U(n th,f) and 252 Cf(sf) (in progress) V.G. Pronyaev Institute of Physics.
P HI T S Exercise ( II ) : How to stop , ,  -rays and neutrons? Multi-Purpose Particle and Heavy Ion Transport code System title1 Feb revised.
Status of DHCAL Slice Test Data Analysis Lei Xia ANL-HEP All results preliminary.
Institut für Kernphysik Markus Horn ILIAS-N3, BSNS-working group meeting Valencia, Forschungszentrum Karlsruhe in der Helmholtz-Gemeinschaft.
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.
Off-axis Simulations Peter Litchfield, Minnesota  What has been simulated?  Will the experiment work?  Can we choose a technology based on simulations?
Neutral Particles. Neutrons Neutrons are like neutral protons. –Mass is 1% larger –Interacts strongly Neutral charge complicates detection Neutron lifetime.
Compton Scattering Reporter: Hui He. Outline Theory Experimental setup Experimental results (1) Calibration (2) Angular Distribution of the 137 Cs Source.
1 Chris Rogers MICE Collaboration Meeting 11th Feb 2005 Tracking and Cooling performance of G4MICE.
Photon and Energy Fluence
Stopping Power The linear stopping power S for charged particles in a given absorber is simply defined as the differential energy loss for that particle.
RF background, analysis of MTA data & implications for MICE Rikard Sandström, Geneva University MICE Collaboration Meeting – Analysis session, October.
Workshop on Physics on Nuclei at Extremes, Tokyo Institute of Technology, Institute for Nuclear Research and Nuclear Energy Bulgarian Academy.
Atmospheric Neutrino Oscillations in Soudan 2
CDF Joint Physics Group June 27, 2003 Rick FieldPage 1 PYTHIA Tune A versus Run 2 Data  Compare PYTHIA Tune A with Run 2 data on the “underlying event”.
Applications of neutron spectrometry Neutron sources: 1) Reactors 2) Usage of reactions 3) Spallation sources Neutron show: 1) Where atoms are (structure)
Hadronic Models Problems, Progress and Plans Gunter Folger Geant4 Workshop, Lisbon 2006.
Future usage of quasi-infinite depleted uranium target (BURAN) for benchmark studies Pavel Tichý Future usage of quasi-infinite depleted uranium target.
Studies of neutron cross-sections by activation method in Nuclear Physics Institute Řež and in The Svedberg Laboratory Uppsala and experimental determination.
VALSIM status J. Apostolakis, V. Grichine, A. Howard, A. Ribon EUDET meeting, 11 th Sept 2006.
Calorimeters Chapter 4 Chapter 4 Electromagnetic Showers.
Simulations on “Energy plus Transmutation” setup, 1.5 GeV Mitja Majerle
Walid DRIDI, CEA/Saclay n_TOF Collaboration Meeting, Paris December 4-5, 2006 DAPNIA Neutron capture cross section of 234 U Walid DRIDI CEA/Saclay for.
1 Status and Plans for Geant4 Physics Linear Collider Simulation Workshop III 2-5 June 2004 Dennis Wright (SLAC)
Monte Carlo methods in ADS experiments Study for state exam 2008 Mitja Majerle “Phasotron” and “Energy Plus Transmutation” setups (schematic drawings)
Systematic studies of neutrons produced in the Pb/U assembly irradiated by relativistic protons and deuterons. Vladimír Wagner Nuclear physics institute.
Cross-sections of Neutron Threshold Reactions Studied by Activation Method Nuclear Physics Institute, Academy of Sciences of Czech Republic Department.
Mitglied der Helmholtz-Gemeinschaft Calibration of the COSY-TOF STT & pp Elastic Analysis Sedigheh Jowzaee IKP Group Talk 11 July 2013.
Víctor M. Castillo-Vallejo 1,2, Virendra Gupta 1, Julián Félix 2 1 Cinvestav-IPN, Unidad Mérida 2 Instituto de Física, Universidad de Guanajuato 2 Instituto.
Neutron production study with the thick lead target and uranium blanket irradiated by 1.5 GeV protons Filip Křížek, ÚJF AV ČR.
Results from RENO Soo-Bong Kim (KNRC, Seoul National University) “17 th Lomosonov Conference on Elementary Particle Physics” Moscow. Russia, Aug ,
Experimental Studies of Spatial Distributions of Neutrons Produced by Set-ups with Thick Lead Target Irradiated by Relativistic Protons Vladimír Wagner.
1 Background radiation studies in LHCb with GAUSS/Geant4 Giuseppe G. Daquino PH/SFT.
WIMP search Result from KIMS experiments Kim Seung Cheon (DMRC,SNU)
ANITA workshop, Uppsala, december 2008 ANITA neutron source Monte Carlo simulations and comparison with experimental data Mitja Majerle Nuclear Physics.
Ondřej Svoboda Nuclear Physics Institute, Academy of Sciences of Czech Republic Department of Nuclear Reactors, Faculty of Nuclear Sciences and Physical.
Simulations on “Energy plus Transmutation” setup, 1.5 GeV Mitja Majerle, V Wagner, A Krása, F Křížek This document can be downloaded.
Numerical Model of an Internal Pellet Target O. Bezshyyko *, K. Bezshyyko *, A. Dolinskii †,I. Kadenko *, R. Yermolenko *, V. Ziemann ¶ * Nuclear Physics.
Recent Results from RENO NUFACT2014 August. 25 to 30, 2014, Glasgow, Scotland, U.K. Hyunkwan Seo on behalf of the RENO Collaboration Seoul National University.
Radiation study of the TPC electronics Georgios Tsiledakis, GSI.
Adam Para, Fermilab, February 16, Who Cares? What is the Problem? 2 Dual Readout Total Absorption calorimeter has very good energy resolution.
Marina Golubeva, Alexander Ivashkin Institute for Nuclear Research RAS, Moscow AGeV simulations with Geant4 and Shield Geant4 with Dpmjet-2.5 interface.
1 Giuseppe G. Daquino 26 th January 2005 SoFTware Development for Experiments Group Physics Department, CERN Background radiation studies using Geant4.
Energy Loss Simulation for the CDF Run II W Mass Measurement Tom Riddick University College London.
NEVOD-DECOR experiment: results and future A.A.Petrukhin for Russian-Italian Collaboration Contents MSU, May 16, New method of EAS investigations.
4th International Summer School « Nuclear Physics Methods and Accelerators in Biology and Medicine » Monte-Carlo simulations : FLUKA vs. MCNPX Maxime ODEN.
ArgonneResult_ ppt1 Comparison of data and simulation of Argonne Beam Test July 10, 2004 Tsunefumi Mizuno
Extrapolation Techniques  Four different techniques have been used to extrapolate near detector data to the far detector to predict the neutrino energy.
Alex Howard – Neutron Interactions – G4 Workshop Lisbon 1 11 th October 2006 Neutron Interactions 1. Neutron high energy cross-section 2. Elastic scattering.
Three years of cross-section measurements of (n,xn) threshold reactions at TSL Uppsala and NPI Řež O. Svoboda, A. Krása, A. Kugler, M. Majerle, J. Vrzalová,
Ali Ahmad FLUKA code validation of nuclear data required for the spallation target design in Accelerator Driven Subcritical Reactors ThorEA Meeting – Daresbury.
Report (2) on JPARC/MLF-12B025 Gd(n,  ) experiment TIT, Jan.13, 2014 For MLF-12B025 Collaboration (Okayama and JAEA): Outline 1.Motivation.
Monte Carlo methods in spallation experiments Defense of the phD thesis Mitja Majerle “Phasotron” and “Energy Plus Transmutation” setups (schematic drawings)
IBD Detection Efficiencies and Uncertainties
Solar gamma-ray and neutron registration capabilities of the GRIS instrument onboard the International Space Station Yu. A. Trofimov, Yu. D. Kotov, V.
Validation of Geant4 against the TARC benchmark: Testing neutron production, transportation and interaction TARC – experimental set-up and aims Geant4.
Introduction Goal: Can we reconstruct the energy depositions of the proton in the brain if we are able to reconstruct the photons produced during this.
for collaboration “Energy plus transmutation”
Monte Carlo studies of the configuration of the charge identifier
How precisely do we know the antineutrino source spectrum from a nuclear reactor? Klaus Schreckenbach (TU München) Klaus Schreckenbach.
Detector Configuration for Simulation (i)
Physics Validation of LHC Simulations
p0 life time analysis: general method, updates and preliminary result
Hadronic Physics in Geant4
The Hadrontherapy Geant4 advanced example
Performed experiments Nuclotron – set up ENERGY PLUS TRANSMUTATION
O. Svoboda, A. Krása, A. Kugler, M. Majerle, J. Vrzalová, V. Wagner
Lesson 4: Application to transport distributions
Presentation transcript:

Alex Howard PH-SFT LCG-PV 10 th May 2006 Neutron Benchmark for Geant4 using TARC – initial status 1)TARC – experimental set-up and aims 2)Geant4 Simulation 3)Initial output 4)Energy-time correlation 5)Comparison between physics lists 6)Absolute fluence 7)Exiting neutrons 8)Future plans 9)Conclusions Alex Howard, PH-SFT

Alex Howard PH-SFT LCG-PV 10 th May 2006 TARC – neutron validation ● TARC – Neutron-Driven Nuclear Transmutation by Adiabatic Resonance Crossing ● Validates spallation neutron production from 2.5 and 3.5 GeV/c protons on pure lead ● Validates energy-time relationship and thermalisation of neutrons ● Absolute Neutron fluence spectrum from spallation production ● Measures capture cross-sections on a number of specific isotopes -

Alex Howard PH-SFT LCG-PV 10 th May 2006 TARC – aims and setup ● Aims of experiment: – neutron production by GeV protons hitting a large lead volume; – neutron transport properties, on the distance scale relevant to industrial applications (reactor size); – efficiency of transmutation of 99 Tc and 129 I. ● Two types of measurements performed: – neutron fluence measurements with several complementary techniques over a broad neutron energy range from thermal up to a few MeV; – neutron capture rate measurements on 99 Tc (both differential and integral measurements) and on 129 I and 127 I (integral measurements). For 99 Tc a high statistics measurement of the apparent capture cross-section was obtained up to ~1 keV. Below this energy 85% of all captures occur in a typical TARC neutron spectrum. ● The set-up is 334 tonnes of pure lead with approximate cylindrical symmetry about the beam axis. Diameter is 3.3m and length 3m. Lead volume is 29.3 m 3. The beam is introduced through a 77.2mm diameter blind hole, 1.2m long. This leads to the neutron shower being approximately centred in the middle of the 3m lead length. The lead is 99.99% pure.

Alex Howard PH-SFT LCG-PV 10 th May 2006 Data taken , final publication 2002

Alex Howard PH-SFT LCG-PV 10 th May 2006 TARC – experimental set-up

Alex Howard PH-SFT LCG-PV 10 th May 2006 Experimental Goal1: 99 Tc capture cross-section

Alex Howard PH-SFT LCG-PV 10 th May 2006 Experimental Set-up ● TARC comprises 334 tonnes of lead in a 3.3m x 3.3m x 3m cylindrical block ● 12 sample holes are located inside the volume ● Primary particle beam is either 2.5 or 3.5 GeV/c protons

Alex Howard PH-SFT LCG-PV 10 th May 2006 Experimental Set-up ● TARC comprises 334 tonnes of lead in a 3.3m x 3.3m x 3m cylindrical block ● 12 sample holes are located inside the volume ● Primary particle beam is either 2.5 or 3.5 GeV/c protons TARC simulation Geant4

Alex Howard PH-SFT LCG-PV 10 th May 2006 Neutron Energy-Time Correlation ● Due to the highly elastic nature of neutron scattering in lead and the high nuclear mass, there is a correlation between the neutron energy and its time of observation. This is particularly true at low energy, approximately independent of the initial neutron (and proton) energy ● This has been verified experimentally and by TARC's own simulation (FLUKA + EA custom) ● TARC measurements were carried out by measuring the time of capture on different resonant isotopes and by measuring the prompt signal in 3 He gas counters ● Geant4-v8.0-ref4 also agrees well, but with some excess of neutrons produced at low energy ● Some differences between physics list

Alex Howard PH-SFT LCG-PV 10 th May 2006 Neutron Energy-Time Correlation ● Neutron energy and time are stored for the flux through a given radial shell ● Reasonable agreement with expectation, although the low energy population is quite different between physics list (as expected) Geant4

Alex Howard PH-SFT LCG-PV 10 th May 2006 Neutron Energy-Time Correlation ● Neutron energy and time are stored for the flux through a given radial shell ● Reasonable agreement with expectation, although the low energy population is quite different between physics list (as expected) TARC simulation Geant4 TARC Paper

Alex Howard PH-SFT LCG-PV 10 th May 2006 Neutron Energy-Time Correlation NB: At this energy QGSP and LHEP have different cross-sections but same LEP model QGSP_HP LHEP_BIC_HP LHEP_BERT_HP LHEP_HP ● Some difference between physics lists is observed ● Mostly due to 1keV production from the low energy parametrised models ● The two cascade models remove this effect ● It is possible to fit the correlation according to: E(t) (t+t 0 ) 2 = √K where t 0 is a correction for non-infinite initial energy

Alex Howard PH-SFT LCG-PV 10 th May 2006 Neutron Energy-Time Correlation ● The slope of the correlation can approximate a Gaussian distribution LHEP_HP LHEP_BIC_HP QGSP_HP LHEP_BERT_HP ● The correlation distribution can be fitted across a restricted energy range of between 0.1 eV and 10 keV ● t 0 is fixed to 37  s throughout

Alex Howard PH-SFT LCG-PV 10 th May 2006 Neutron Energy-Time Correlation ● The slope of the correlation can approximate a Gaussian distribution Minuit errors on the mean are between 0.03 and 0.08 LHEP_HP LHEP_BIC_HP QGSP_HP LHEP_BERT_HP experiment and TARC simulation give 173±2 ● Bertini and Binary cascades are close to agreement with experiment

Alex Howard PH-SFT LCG-PV 10 th May 2006 Mono-energetic Neutron Correlation ● Fixed incident neutron energy and record energy-time relationship – similar to protons LHEP_BIC_HP 0.1 MeV 10 MeV 1 MeV 100 MeV 0.1 MeV 10 MeV 1 MeV 100 MeV

Alex Howard PH-SFT LCG-PV 10 th May 2006 Mono-energetic Neutron Correlation ● Distribution fits LHEP_BIC_HP 0.1 MeV 10 MeV 1 MeV 100 MeV 0.01 MeV K=145.6 K=168.9 K=167.0 K=161.0 K=168.2 lower energy neutrons give lower values for the correlation slope

Alex Howard PH-SFT LCG-PV 10 th May 2006 Secondary Neutron Energy Spectrum ● Energy of neutron is recorded at first step ● The hard process and evaporation spectrum are clearly visible for the different physics lists ● Cascades are not applied to all particles so some 1 keV LEP component is still present LHEP_HP LHEP_BIC_HP QGSP_HP LHEP_BERT_HP

Alex Howard PH-SFT LCG-PV 10 th May 2006 Secondary Neutron Spectrum

Alex Howard PH-SFT LCG-PV 10 th May 2006 Secondary Neutron Spectrum ● 1/p spectrum

Alex Howard PH-SFT LCG-PV 10 th May 2006 Neutron parent particles ● Significant fraction are produced from neutrons 1 = gamma 2 = neutrons 3= electron 4 = pi- 5 = pi+ 6 = pi0 7 = positron 8 = proton

Alex Howard PH-SFT LCG-PV 10 th May 2006 Neutron parent particles ● Significant fraction are produced from neutrons ● from neutrons, from protons for BERTINI ● from neutrons, 1116 from protons for BINARY 1 = gamma 2 = neutrons 3= electron 4 = pi- 5 = pi+ 6 = pi0 7 = positron 8 = proton

Alex Howard PH-SFT LCG-PV 10 th May 2006 Fluence Calculation ● In the TARC analysis they use a definition of fluence as follows: ● For monoenergetic neutrons of velocity V and density n, the neutron flux is defined as  = Vn and is a quantity that upon multiplying by the macroscopic cross-section (  ), one obtains the neutron reaction rate per unit volume ● Should not be confused with the rate of particles crossing a surface element, which is a 'current' and depends on the orientation of the direction of the particles ● Three procedures were used to determine the fluence: 1) dN/dS perp is the number of neutrons crossing a surface element dS, with dS perp = dScos  where  is the neutron angle to the normal 2) the average fluence in a volume element dV as dl/dV, where dl is the total track length of neutrons in dV 3) Number of interactions in a detector and computing fluence as (1/  dN/dV, where dN is the number of interactions in dV ● The first two were used in simulation

Alex Howard PH-SFT LCG-PV 10 th May 2006 Fluence Red = QBBC Blue = BERTINI Green = BINARY ● Spectral fluence is determined from the energy-time correlation with cross-checks (lithium activation and He3 ionisation detectors) ● The simulated fluence is still below measurement ● The bertini cascade gets closest to the data ● The spectral shape looks reasonable

Alex Howard PH-SFT LCG-PV 10 th May 2006 ● TARC determined the number of neutrons exiting their set-up as 30% of those produced. This is primarily based on the FLUKA neutron production code with their own transportation ● Geant4 can be used to compare the difference energy spectra and multiplicities of the cascade models ● So far initial numbers are: – BERTINI gives 32.3% exiting (22464 tracks) – BINARY gives 56.7% exiting (27175 tracks) – QBBC gives 32.7% exiting (15810 tracks) Number of neutrons exiting

Alex Howard PH-SFT LCG-PV 10 th May 2006 What next? ● Activation calibration for energy-time relationship ● Absolute Neutron fluence comparison ● Activation cross-section vs. energy ● Detector simulation?

Alex Howard PH-SFT LCG-PV 10 th May 2006 Conclusions 1)Initial simulation of the TARC set-up agrees with measurements and their own simulation 2)Energy-time correlation differs between physics list, but with the cascades is consistent with measurement although with slightly less slope 3)Secondary neutron spectra show the distinct evaporation and harder production of neutrons 4) BERTINI gives the same number of exiting neutrons as TARC (FLUKA) 5)Absolute fluence and detailed capture cross-section studies will give precise testing of Geant4 neutron physics in the low energy regime (<3.5 GeV) – presently fluence values are below expectations