trapping/notebooks/cross-sections.ipynb

In [1]:

%classpath add jar ../build/install/trapping/lib/commons-math3-3.6.1.jar
%classpath add jar ../build/install/trapping/lib/trapping-dev.jar

In [11]:

scatter = inr.numass.trapping.Scatter.INSTANCE

def e = (1..20) // energy in keV

factor = 1e-22
def sigmaEl = e.collect{scatter.sigmael(it*1000)/factor}
def sigmaIon = e.collect{scatter.sigmaion(it*1000)/factor}
def sigmaExc = e.collect{scatter.sigmaexc(it*1000)/factor}

def plot = new Plot(logY: true, yLogBase: 10)
plot << new Line(x: e, y: sigmaEl, displayName: "Elastic")
plot << new Line(x: e, y: sigmaIon, displayName: "Ionization")
plot << new Line(x: e, y: sigmaExc, displayName: "Excitation")

In [15]:

println "E(keV)\telastic\tion\texc"
for(d = 12.0; d < 18.6; d += 0.1){
    def sigmaEl = scatter.sigmael(d*1000)/factor
    def sigmaIon = scatter.sigmaion(d*1000)/factor
    def sigmaExc = scatter.sigmaexc(d*1000)/factor
    println "$d\t$sigmaEl\t$sigmaIon\t$sigmaExc"
}

E(keV)	elastic	ion	exc
12.0	0.43948540252301355	2.7362696996880764	2.2754271467658227
12.1	0.4360219815420227	2.716347129996631	2.259247553470829
12.2	0.4326153394877464	2.6967291910800784	2.2433117665045716
12.3	0.42926409223681455	2.6774088086825643	2.227614186457129
12.4	0.42596690029168804	2.6583791281775273	2.212149386181278
12.5	0.4227224669965498	2.639633506055748	2.1969121041685504
12.6	0.41952953683810995	2.621165501807934	2.1818972382301722
12.7	0.4163868938266485	2.602968870180603	2.1670998394665926
12.8	0.4132933599529065	2.585037553785318	2.1525151065102723
12.9	0.4102477937167139	2.567365676042546	2.138138380027344
13.0	0.4072490887234942	2.5499475344425586	2.123965137464613
13.1	0.4042961723450181	2.532777594106803	2.1099909880291814
13.2	0.40138800444100226	2.515850481634202	2.096211667888705
13.3	0.3985235761383543	2.4991609792177183	2.082623035581028
13.4	0.3957019086650494	2.4827040190174023	2.069221067622563
13.5	0.39292205223581	2.466474677776929	2.0560018543054204
13.6	0.39018308498692494	2.4504681716713828	2.042961595673853
13.7	0.3874841119576961	2.434679851374739	2.0300965976711156
13.8	0.3848242641161482	2.419105197336177	2.0174032684483527
13.9	0.3822026974267757	2.403739815254919	2.00487811482759
14.0	0.3796185919582249	2.3885794317439313	1.9925177389113418
14.1	0.3770711510289289	2.373619890173301	1.9803188348317768
14.2	0.3745596003888268	2.358857146684646	1.9682781856327505
14.3	0.3720831874354002	2.3442872663683785	1.9563926602783916
14.4	0.36964118046236066	2.32990641959609	1.9446592107822769
14.5	0.36723286793941123	2.315710878500726	1.9330748694515214
14.6	0.3648575578215951	2.3016970135976464	1.9216367462404509
14.7	0.36251457688682004	2.287861290540006	1.910342026208781
14.8	0.3602032701002296	2.274200267002247	1.8991879670794969
14.9	0.357923000004158	2.26071058968582	1.8881718968918926
15.0	0.3556731461324769	2.2473889914415754	1.8772912117454528
15.1	0.353453104448203	2.234232288503513	1.8665433736304802
15.2	0.35126228680329497	2.221237377828907	1.8559259083415982
15.3	0.3491001204196282	2.2084012345400286	1.845436403470438
15.4	0.3469660473901797	2.1957209094629615	1.835072506474014
15.5	0.3448595241995173	2.1831935267592297	1.824831922815469
15.6	0.3427800212627204	2.170816281646157	1.8147124141740314
15.7	0.34072702248191666	2.158586438202101	1.8047117967211865
15.8	0.33870002481965195	2.1465013272528792	1.7948279394602165
15.9	0.3366985378883526	2.134558344335901	1.7850587626263867
16.0	0.33472208355517563	2.122754947738674	1.7754022361452126
16.1	0.33277019556158083	2.111088656608532	1.7658563781463463
16.2	0.33084241915698676	2.0995570491305764	1.7564192535307461
16.3	0.32893831074590485	2.0881577607709536	1.7470889725889123
16.4	0.3270574375479805	2.0768884825827687	1.7378636896680617
16.5	0.3251993772703896	2.0657469595720115	1.7287416018862318
16.6	0.32336371779207285	2.054730989121034	1.7197209478913829
16.7	0.3215500568593091	2.043838419467228	1.7108000066636726
16.8	0.31975800179215863	2.0330671482346325	1.7019770963591483
16.9	0.3179871692013229	2.022415121016355	1.693250573193194
17.0	0.3162371847149949	2.011880330005736	1.684618830362136
17.1	0.3145076827152896	2.0014608126743285	1.6760802970014965
17.2	0.31279830608386505	1.991154650494809	1.6676334371794341
17.3	0.31110870595636253	1.9809599677070577	1.6592767489239986
17.4	0.3094385414853119	1.9708749301257074	1.6510087632828718
17.5	0.3077874796111622	1.9608977439875288	1.6428280434143254
17.6	0.30615519484111486	1.9510266548371218	1.6347331837082066
17.7	0.3045413690354524	1.9412599464494087	1.6267228089357717
17.8	0.3029456912010658	1.9315959397875393	1.6187955734272899
17.9	0.3013678572919011	1.9220329919948316	1.6109501602763423
18.0	0.29980757001605496	1.9125694954194674	1.603185280569817
18.1	0.29826453864926233	1.9032038766707016	1.5954996726426307
18.2	0.29673847885453164	1.8939345957053948	1.5878921013562524
18.3	0.29522911250768985	1.8847601449437406	1.5803613574001418
18.4	0.2937361675286164	1.8756790484131034	1.5729062566152603
18.5	0.2922593777179467	1.866689860918917	1.565525639338836

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