1 Comparison and discussion of candidate SEE materials Z. Insepov (ANL), V. Ivanov (Muons Inc.) Muons, Inc.

Slides:



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

Antonis Leisos KM3NeT Collaboration Meeting the calibration principle using atmospheric showers the calibration principle using atmospheric showers Monte.
Stereo Spectrum of UHECR Showers at the HiRes Detector  The Measurement Technique  Event Reconstruction  Monte Carlo Simulation  Aperture Determination.
Atmospheric Neutrinos Barry Barish Bari, Bologna, Boston, Caltech, Drexel, Indiana, Frascati, Gran Sasso, L’Aquila, Lecce, Michigan, Napoli, Pisa, Roma.
Sub-picosecond Megavolt Electron Diffraction International Symposium on Molecular Spectroscopy June 21, 2006 Fedor Rudakov Department of Chemistry, Brown.
GEANT 4 simulation of energy deposited in KASCADE-Grande detectors Carpathian Summer School of Physics 2012.
Electron Backscattering Jeff Martin University of Winnipeg Outline: Motivation Experimental Setup Results and Comparisons See also: nucl-ex/ Phys.
HiRes Usage. Outline ● Shower energy ( Size, dE/dx ) ● Atmospheric profile ( stdz76, radiosonde) ● Rayleigh Scattering ● Aerosols Model ( density, variability.
Frictional Cooling MC Collaboration Meeting June 11-12/2003 Raphael Galea.
Numerical model for simulation of the Micro-Channel Plates Valentin Ivanov Muons, Inc. 06 January 2009.
Simulation of Conventional and Unconventional Photo- cathode Geometries Valentin Ivanov Muons, Inc. 20 July 2009 Muons, Inc. 1 st Workshop on Photo-cathodes.
The Secondary Electron Yield Model in ECLOUD and Comparison to CLOUDLAND Jim Crittenden Cornell Laboratory for Accelerator-Based Sciences and Education.
Tracker Reconstruction SoftwarePerformance Review, Oct 16, 2002 Summary of Core “Performance Review” for TkrRecon How do we know the Tracking is working?
RF background, analysis of MTA data & implications for MICE Rikard Sandström, Geneva University MICE Collaboration Meeting – Analysis session, October.
Electron-impact inner shell ionization cross section measurements for heavy element impurities in fusion reactors Jingjun Zhu Institute of Nuclear Science.
Negative-mass electronic transport in Gallium Nitride using analytic approximations in Monte-Carlo Simulations Daniel R. Naylor*, Angela Dyson* & Brian.
Shoei NAKAYAMA (ICRR) for Super-Kamiokande Collaboration December 9, RCCN International Workshop Effect of solar terms to  23 determination in.
Modelling of Electron Air Showers and Cherenkov Light A.Mishev J. Stamenov Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences.
A Monte Carlo exploration of methods to determine the UHECR composition with the Pierre Auger Observatory D.D’Urso for the Pierre Auger Collaboration
Development of A Scintillation Simulation for Carleton EXO Project Rick Ueno Under supervision of Dr. Kevin Graham.
Irakli Chakaberia Final Examination April 28, 2014.
Implementing a dual readout calorimeter in SLIC and testing Geant4 Physics Hans Wenzel Fermilab Friday, 2 nd October 2009 ALCPG 2009.
LAPPD Collaborative Meeting, June 10-11, 2010 Muons, Inc. 1 Comparison & Discussion of Secondary Electron Emission (SEE) Materials - Theory Z.Insepov,
Preliminary Simulation on Electron Cloud Build-up in SppC Liu Yu Dong.
Extending the Bertini Cascade Model to Kaons Dennis H. Wright (SLAC) Monte Carlo April 2005.
SiO2 ETCH PROPERTIES AND ION ENERGY DISTRIBUTION IN PULSED CAPACITIVELY COUPLED PLASMAS SUSTAINED IN Ar/CF4/O2* Sang-Heon Songa) and Mark J. Kushnerb)
VCI2010 Photonic Crystals: A Novel Approach to Enhance the Light Output of Scintillation Based Detectors 11/19/2015 Arno KNAPITSCH a, Etiennette AUFFRAY.
NESTOR SIMULATION TOOLS AND METHODS Antonis Leisos Hellenic Open University Vlvnt Workhop.
Radiation damage calculation in PHITS
Properties of giant air showers and the problem of energy estimation of initial particles M.I. Pravdin for Yukutsk Collaboration Yu.G. Shafer Institute.
March 28-April, Particle Acceleratior Conference - New York, U.S.A. Comparison of back-scattering properties of electron emission materials Abstract.
Edge-SOL Plasma Transport Simulation for the KSTAR
Low-Energy Interaction Models in CORSIKA Dieter Heck, Ralph Engel Forschungszentrum Karlsruhe, Germany Giuseppe Battistoni, Alberto Fassò, Alfredo Ferrari,
Multipactor Phenomenon in Dielectric-Loaded Accelerating Structures: Review of Theory and Code Development O. V. Sinitsyn, G. S. Nusinovich and T. M. Antonsen,
Transmission and Reflection of Electrons using GEANT3 Angus Comrie (University of Cape Town, SA-CERN) Supervisor: Karel Safarik Kinetic Energies of 100keV.
Self-consistent non-stationary theory of multipactor in DLA structures O. V. Sinitsyn, G. S. Nusinovich, T. M. Antonsen, Jr. and R. Kishek 13 th Advanced.
Evaluation of the Cu atomic density during sputter deposition process with optical emission spectroscopy Takeo Nakano, Kouji Tanaka and Shigeru Baba Dept.
W. Eckstein, MPIPP Garching, Germany
Study of high energy cosmic rays by different components of back scattered radiation generated in the lunar regolith N. N. Kalmykov 1, A. A. Konstantinov.
A. SarratTPC jamboree, Aachen, 14/03/07 1 Full Monte Carlo of a TPC equipped with Micromegas Antony Sarrat CEA Saclay, Dapnia Motivation Simulation content.
The effect of surface roughness
1 Semileptonic physics in FOCUS D  K  0 l form factor measurement –Motivation –Method and Signals D   l form factor measurement –Motivation –Signals.
분자동역학을 이용한 금속표면의 Kinetic Roughening 현상에 대한 재 증착 효과 연구 Sang-Pil Kim 1,2, Kwang-Ryeol Lee 1, Jae-Sung Kim 3 and Yong-Chae Chung 2 1.Computational Science.
Numerical Model of an Internal Pellet Target O. Bezshyyko *, K. Bezshyyko *, A. Dolinskii †,I. Kadenko *, R. Yermolenko *, V. Ziemann ¶ * Nuclear Physics.
Spectral Response of GaAs(Cs, NF 3 ) Photocathodes Teresa Esposito Mentors: I. Bazarov, L. Cultrera, S. Karkare August 10, 2012.
FCC-hh: First simulations of electron cloud build-up L. Mether, G. Iadarola, G. Rumolo FCC Design meeting.
ICE Vs SALT GeV Electron Showers Shahid Hussain Shahid Hussain University of Kansas.
Photon Transport Monte Carlo September 27, 2004 Matthew Jones/Riei IshizikiPurdue University Overview Physical processes PMT and electronics response Some.
Gain and Time Resolution Simulations in Saturated MCP Pores Valentin Ivanov, Zeke Insepov, Sergey Antipov 1 First Author Institution, 2 Second Author Institution,
Chapter 7 The electronic theory of metal Objectives At the end of this Chapter, you should: 1. Understand the physical meaning of Fermi statistical distribution.
1 Photocathode development and simulation-2 K. Attenkofer, Z. Insepov (ANL) V. Ivanov (Muon Inc)
October, 2001 Hybrid Spectrometer for Single Crystal Studies at the Pulsed SNS: an update. n Principal features of the proposed hybrid spectrometer. n.
1 Transmission Coefficients and Residual Energies of Electrons: PENELOPE Results and Empirical Formulas Tatsuo Tabata and Vadim Moskvin * Osaka Prefecture.
MEST Multipactor Effect Simulation Tool Work done under ESA AO 4025: Surface Treatment and Coating for the Reduction of Multipactor and Passive Intermodulation.
A Measurement of the Ultra-High Energy Cosmic Ray Spectrum with the HiRes FADC Detector (HiRes-2) Andreas Zech (for the HiRes Collaboration) Rutgers University.
Development of Large-Area Photo-detectors: MCP development S. Antipov, Z. Insepov, V. Ivanov Abstract Electric field inside high gain microchannel plate.
RF Superconducting Materials Workshop at Fermilab, May 23 & 24, 2007 Advanced Nb oxide surface modification by cluster ion beams Zeke Insepov, Jim Norem.
Electron Polarization effects in Compton X/γ-ray Sources
A.P. Potylitsyn, I.S. Tropin Tomsk Polytechnic University,
Physics Scope and Work Plan for the Shielded-Pickup Measurements -- Synchrotron Radiation Photon Distributions Photoelectron Production Parameters.
Comparison of Candidates Secondary Electron Emission Materials
Assoc. Prof. Dr. Peerapol Yuvapoositanon
Spherical Measuring Device of Secondary Electron Emission Coefficient Based on Pulsed Electron Beam Kaile Wen Shulin Liu Baojun Yan Yuzhen Yang Yang.
Development of Large-Area Photo-detectors:
on behalf of the NEMO Collaboration
Prof. Sanjay. V. Khare Department of Physics and Astronomy,
Numerical model for simulation of the Micro-Channel Plates
45 e+ bunches, 4-ns spacing, 0.9 mA/bunch
Secondary Emission Update
Presentation transcript:

1 Comparison and discussion of candidate SEE materials Z. Insepov (ANL), V. Ivanov (Muons Inc.) Muons, Inc.

2Outline  Motivation  Semi-empirical theories  Monte Carlo simulations  Empirical models  Comparison with experiment  Summary

3Motivation  Gain and TTS can drastically be improved by increasing SEE at first strike  Higher QE PC can be obtained by using Al 2 O 3, MgO, and ZnO.  Multilayer structures can improve SEE  Surface roughness can affect the SEE  We need a tool to be able to predict SEE based on materials properties

4 Empirical Models  Space charge effect, charging effect of the emitting surface and reflection of incident electrons are not considered.  Number of emitted secondary electrons is determined by Poisson distribution having average value from equation below.  Secondary electrons have Maxwellian energy distribution and Cosine angular distribution.  Guest (1971)  – adjustable parameter  Ito (1984)  Yakobson (1966)  Agarwal (1958)

5 Comparison SEE models

6 SEE for models vs experiment

7 Comparison between theory and experiment

8 SEE of a rough surface Kawata at al, JNM (1995) The effect of surface roughness on the SEE from Be at E < 1 keV electron bombardment was studied by Monte Carlo simulation. With increasing aspect ratio H/W of the bowl structure, the SEE Yield increases, whereas for large H/W the yield is smaller. Krasnov, Vacuum (2004)

9 Semi-empirical theories  “Universal law of SE yield” Al 2 O 3 - Young (1956) e-e- Joy (1987) primary secondary

10 Low-Energy Monte Carlo codes  Algorithm of SEE calculations Screening factor  

11 Simulation results: 5 nm Al 2 O 3  Comparison of various models of SEE

12 Simulation results 5 nm Al 2 O 3  SEE vs primary electron angle and energy This parameterized set of SEE yield is used as an input to a macroscopic gain code for MCP simulation

13 Comparison with experiment  SE yields of an Al2O3 were measured by a pulsed technique where surface was replenished by electron shower between the two pulses [21]. Materials data used in MC simulations:  Z av = 10  A av = 20.4   = 3.9 g/cm 3   = 20 eV,  = 60 Å  J = 145 eV None of them are from experiment except for J which is unimportant at low energies

14Summary  None of the existing Monte Carlo codes can simulate low- energy SEE from new, engineering materials, and with charge effects.  We need to build a MC code that will be able to treat mixtures, rough, multilayer surfaces, low energy, with charge accumulation.  Our current approach combines simple MC simulation, empirical models, and comparison to experiment.  Al 2 O 3 SE yields were parameterized for two variables: E PE and incident angle and submitted as an input to macroscopic gain code.  We obtained a close agreement with experiment for Al 2 O 3.  We plan to extend this approach to MgO, ZnO, and Al2O3+ZnO mixtures where experiment is sparse.

15Acknowledgments David C Joy ORNL Pierre Hovington McGill University Raynald Gauvin McGill University