THE EGS5 CODE SYSTEM

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C.4 Concluding RemarksIn the previous sections we have seen the various uses for PEGS. We summarize by giving theoption sequences most generally used:1. Minimal options for a material data set creation (for later use by EGS):1. ELEM (or MIXT, or COMP)2. ENER3. PWLF4. DECK2. Same as above, with default data dumps of functions for which the PWLF option providesfits:1. ELEM (or MIXT, or COMP)2. ENER3. TEST4. PWLF5. DECK3. Comparison of theoretical and sampled distributions by means of the HPLT option:1. ELEM (or MIXT, or COMP)Note: Data lines should agree with those usedwith the UCTESTSR run that generated the HPLT input.2. HPLTNote: Output data from UCTESTSR run.4. Selective plotting of various functions:1. ELEM (or MIXT, or COMP) - for material 12. PLTN - for function 13. PLTN - for function 2,....etc.4. ELEM (or MIXT, or COMP) - for material 2,....etc.5. PLTN - for function 16. PLTN - for function 2,....etc.390
Appendix D<strong>EGS5</strong> INSTALLATION GUIDEHideo Hirayama and Yoshihito NamitoRadiation Science CenterAdvanced Research LaboratoryHigh Energy Accelerator Research Organization (KEK)1-1 Oho Tsukuba-shi Ibaraki-ken 305-0801 JAPANAlex F. Bielajew and Scott J. WildermanDepartment of Nuclear Engineering and Radiological SciencesThe University of Michigan2355 Bonisteel BoulevardAnn Arbor, MI 48109, USAWalter R. NelsonDepartment Associate in the Radiation Physics Group (retired)Radiation Protection DepartmentStanford Linear Accelerator Center2575 Sand Hill Road Menlo Park, CA 94025, USAThis <strong>EGS5</strong> Installation Guide is Appendix D of a document calledSLAC-R-730/KEK-2005-8, which can be obtained from the SLAC and KEK web sites.391
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THE EGS5 CODE SYSTEM 1Hideo Hirayam
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4.1 UCCYL - Cylinder-Slab Geometry
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E CONTENTS OF THE EGS5 DISTRIBUTION
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2.17 Convergence of energy depositi
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List of Tables2.1 Symbols used in E
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C.2 Goudsmit-Saunderson-related sub
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With the release of the EGS4 versio
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“shower book”.For various reaso
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1.2.2 EGS1About this time Nelson be
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MSCAT.These versions of EGS, PEGS,
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ten for energies less than 100 MeV
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- Molière multiple scattering (i.e
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EGS5. The primary advantages of thi
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ICRU37-compliant using the NIST dat
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high Z materials. Del Guerra et al.
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One of these six cross sections is
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at low energies. The latter, couple
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If E 1 and E 2 are expressions invo
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The result of this algorithm is tha
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2.4 Particle Transport SimulationTh
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from appropriate distribution funct
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parameters which may be needed. The
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arrived at their values in a very m
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Math FORTRAN ProgramTable 2.1 (cont
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Figure 2.2: Feynman diagrams for br
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defined byδ ij = 1 if i = j,0 othe
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Davies, Bethe and Maximon[49] (e.g.
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cross section given in Equation 2.4
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and use this as the variable to be
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we haveNow defineδ ′ = ∆ C ∆
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This agrees with formula (10) of Bu
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That is, using Equations 2.122 and
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d˘Σ P air, Run−timedE=[23 − 1
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Angular distribution formulasThe fo
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at either x = 0, x = (πE 0 ) 2 (i.
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The following table, derived from t
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Figure 2.3: Feynman diagrams for tw
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whereX 0 = radiation length (cm),n
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whereα ′ 1 =α ′ 2 =k 0′k 0
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+ 1 E 2′ − 1 E 1′− C 2 ln E
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PEGS functions BHABDM, BHABRM, and
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To find the limits of E, we first c
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Figure 2.5: Feynman diagram for sin
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Ī adj = average adjusted mean ioni
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Table 2.2 (cont.)Z Symbol Atomic De
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Table 2.3 (cont.)LABEL a m s x 0 x
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(c) If 10.5 ≤ −C < 11.0 then x
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obtain the real scattering angle. E
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ρ = material mass density (g/cm 3
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Hence,so thatln [1.13 + 3.76(αZ i
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g 3 (θ) =θ4 ()λf (0) (θ) + f (1
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Actually, b = 0 does not correspond
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Assume that an electron starts off
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At small path lengths t, a very lar
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xFinalDirectionφΘ∆xtInitialDire
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shown that this version of the rand
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and as we noted earlier, they are d
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FinalDirectionxEnergy HingesφΘt(
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Transport Steps,∆ E = E x ESTEPEt
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tranport step 1DEINITIAL1 DERESID1t
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= ∆E( ∣ ∣∣∣ dE−1 ∣ )
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Since the CSDA range is uniquely de
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short steps accurate, but slowstep
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Table 2.4: Materials used in refere
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Average Lateral Displacement (cm)0.
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100 MeV Electrons0.010.001LiCLWAlST
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actions involving photons with ener
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Cu 40 keVCounts (/keV/sr/source)10
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Table 2.6: Data sources for general
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2.16.2 Photoelectron Angular Distri
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where r 0 is the classical electron
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second term on the right-hand side
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ZθkYOφe0Xk0Figure 2.23: Photon sc
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Note the similarities and differenc
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XZωk0Oe0YFigure 2.25: Direction of
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W = Atomic, molecular and mixture w
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In order to use EGS5 to answer the
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write(6,100)100 FORMAT(’ PEGS5-ca
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! plate is 1 mm thick!-------------
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implicit noneinclude ’include/egs
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0.989 MeV kinetic energyBrem photon
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! locally (in fact EDEP = particles
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inmax=max(binmax,ebin(j))end dowrit
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0.40 0.0058 *0.60 0.0054 *0.80 0.00
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!----------------------------------
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endifif(loop.lt.3) thenwrite(6,120)
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180 FORMAT(/’ Knock-on electrons
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common/score/escore(3), iscore(3)re
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Brem photons can be created and any
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in any combination of 31 well speci
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end doend do! nmed and dunit defaul
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! ------------------------------clo
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if (iarg.eq.17) then! A Compton sca
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! the general purpose geometry subr
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eturnend!--------------------------
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open(UNIT= 6,FILE=’egs5job.out’
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write(6,130)130 format(/’ Start t
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icol=* int(dlog10(ebin(j)*10000.0/f
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0.0300 0.0000*0.0320 0.0001*0.0340
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0.0780 0.0014 *0.0800 0.0012 *0.082
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The main purpose of this section, h
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4.1.3 Leading Particle BiasingThe s
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• Sum the weighted energy deposit
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4z6Vac115Pb65Air749 1012AirAir8Vac
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Figure 4.3: UCBEND simulation at 3.
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necessary geometry input. The follo
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Appendix AEGS5 FLOW DIAGRAMSHideo H
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subroutineannihVersion051219-1435ia
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¡eq1anormr = 1./sqrt(anorm2)sineta
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1br = max(br,0.D0)ekse2 = br*ekines
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12 3br = br*pesg = eie*bryesesg.lt.
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¤ne¤nesubroutinecollis(lelec,irl,
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¦ne¦necallausgab(iarg)6iq(np).eq.
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subroutinecomptVersion051219-1435ic
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3456icprof(medium).eq.3noyescallran
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subroutinecounters_outVersion051227
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1234567noii.ne.jjyesnoledgb(ii,medi
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©ne1 2 3neispl = (2*neispl + 1)/3f
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subroutineelectr(ircode)ielectr = i
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7 8 9 10 11 12 13detot = e(np)-ecut
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2324 25 26 27 282930ustep.gt.dnear(
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4142 43 44 45 4647 48 49ecut(irnew)
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5859 60 61 6263 64tmscat.eq.0.0noye
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73 7475 76noedep.lt.e(np)yescallran
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subroutinehardx(charge,kEnergy,keIn
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1 2 3 4 5iz = izziz.eq.0noxsi = zer
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13 14 15 16 17sint.ne.0.yesrdev = m
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19im=1im=im+1im >nmednoyesnoiprofm(
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2223write(kmpo,1610)read(kmpi,1260)
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26 27 28iprofm(im).ne.1noyeswrite(6
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30 31 32 33 34esig0(i,im) = esig0(i
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36 37 38noiedgfl(ii).ne.0.or.iauger
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nokaug.eq.6calllshell(3)kaug.eq.7ka
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subroutinekxrayVersion051219-1435ik
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123dfl3aug(5,iz).eq.0.nonauger = na
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12 3 4rnnow.le.omegal2(iz) + f23(iz
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1 2dflx3(6,iz).eq.0.nonxray=nxray+1
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1impacr(ir(np)).eq.1.and.iedgfl(ir(
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12fject = (ktot - k1grd(iprt,ik1))
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56789thr = 1./eta"Central correctio
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1 2 3delta = delcm(medium)*del"Reje
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89101112galpha.ge.0.0yesnoximid = 0
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subroutinephotoVersion051219-1435"C
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4 5 6 7 8rnnow.le.pbran(i)noyesiz =
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121314beta = sqrt((eelec - RM)*(eel
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subroutinephotonVersion051219-1435i
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678910idisc.gt.0yesnoedep = 0.iarg
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1718192021iausfl(iarg+1)ne0nocallpa
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2728iausfl(iarg+1)ne0noircode = 2np
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subroutinerk1Version060313-0945open
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4 5 6j=1j=j+1j>neke-1noyesj.eq.1noj
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18 19 20 21 22 23elkeold = elkek1ol
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1 2"end of file; go to 13"read(17,*
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4 5"go to 30"noabs(k1mine-k1grd(1,1
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7 8read(17,'(72a1)') bufferread(17,
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subroutine shower(iqi,ei,xi,yi,zi,u
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subroutineuphi(ientry,lvl)Version05
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subroutinerandomset(rndum)Version05
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subroutinerluxinitVersion051219-143
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1i=1i=i+1i>24noyesseeds(i) = real(i
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subroutinerluxinVersion051219-1435w
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Appendix BEGS5 USER MANUALHideo Hir
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Table B.1: Variable descriptions fo
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Table B.12: Variable descriptions f
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Optional parameter modificationsThe
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the call to PEGS5 may be skipped if
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egions. Execution of EGS5 is termin
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of the transport in the walls of el
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call rluxinitafter specifying LUXLE
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END OF FILE ON UNIT 12PROGRAM STOPP
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do i=1,ncasesuf(1)=ufivf(1)=vfiwf(1
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crossed, then USTEP should be set t
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Page 359 and 360: As an example of how to write an AU
Page 361 and 362: !**********************************
Page 363 and 364: nreg=3do i=2,nregecut(i)=100.0pcut(
Page 365 and 366: nlines=0nwrite=15!-----------------
Page 367 and 368: if (nlines.lt.nwrite) thenwrite(6,1
Page 369 and 370: Appendix CPEGS USER MANUALHideo Hir
Page 371 and 372: is entered. On each pass through th
Page 373 and 374: (from previous figure)(to previous
Page 375 and 376: (from previous figure)||+ ---------
Page 377 and 378: +------+|BREMTR|+------+|V+------+|
Page 379 and 380: +------+|PAIRTR|+------+|V+------+|
Page 381 and 382: NameDCSLOADDCSSTORDCSTABELASTINOELI
Page 383 and 384: NameAFFACTAINTPALKEALKEIALINALINIAD
Page 385 and 386: Table C.5: Functions in PEGS, part
Page 387 and 388: +------+ +------+ +------+ +------+
Page 389 and 390: Table C.8: ELEM option input data l
Page 391 and 392: Table C.10: MIXT option input data
Page 393 and 394: Table C.12: PWLF option input data
Page 395 and 396: Table C.17: PLTN option input data
Page 397 and 398: ICPROF is set to 3, the user must c
Page 399 and 400: ColumnLine 123456789112345678921234
Page 401 and 402: interiors of the intervals. If FEXA
Page 403 and 404: C.3.6The TEST OptionThe TEST option
Page 405: C.3.9The HPLT OptionThe Histogram P
Page 409 and 410: egs5 directory (preferably using th
Page 411 and 412: 6. The user is then asked to key-in
Page 413 and 414: * User code tutor1.f has been compi
Page 415 and 416: Appendix ECONTENTS OF THE EGS5DISTR
Page 417 and 418: All of the actual FORTRAN source co
Page 419 and 420: aprime.data Data for empirical brem
Page 421 and 422: ismuth krypton silverboron lanthanu
Page 423 and 424: The tutorial problems and advanced
Page 425 and 426: Bibliography[1] R. G. Alsmiller Jr.
Page 427 and 428: [28] A. F. Bielajew. HOWFAR and HOW
Page 429 and 430: [59] K. Flöttmann. Investigations
Page 431 and 432: [92] H. Kolbenstvedt. Simple theory
Page 433 and 434: [123] Y. Namito, H. Hirayama, A. Ta
Page 435 and 436: [156] Y. A. Shreider, editor. The M
Page 437 and 438: Index“shower book”, 37AE, 28, 3
Page 439 and 440: Klein-Nishina formula, 62Landau dis
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