numass-framework/numass-main/src/main/groovy/inr/numass/scripts/LossTailCalculation.groovy

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2015-12-18 16:20:47 +03:00
/*
* To change this license header, choose License Headers in Project Properties.
* To change this template file, choose Tools | Templates
* and open the template in the editor.
*/
package inr.numass.scripts
import hep.dataforge.maths.integration.GaussRuleIntegrator;
import hep.dataforge.maths.integration.UnivariateIntegrator;
import inr.numass.models.LossCalculator;
import org.apache.commons.math3.analysis.UnivariateFunction
UnivariateIntegrator integrator = new GaussRuleIntegrator(400);
def exPos = 12.878;
def ionPos = 13.86;
def exW = 1.32;
def ionW = 12.47;
def exIonRatio = 3.96;
def cutoff = 25d
UnivariateFunction loss = LossCalculator.getSingleScatterFunction(exPos, ionPos, exW, ionW, exIonRatio);
println integrator.integrate(loss,0,600);
println integrator.integrate(loss,0,cutoff);
println integrator.integrate(loss,cutoff,600d);
println (integrator.integrate(loss,0,cutoff) + integrator.integrate(loss,cutoff,3000d));
//double tailValue = (Math.atan((ionPos-cutoff)*2d/ionW) + 0.5*Math.PI)*ionW/2;
//println tailValue
//println integrator.integrate(loss,0,100);
//println integrator.integrate(loss,100,600);
//def lorentz = {eps->
// double z = 4 * (eps - ionPos) * (eps - ionPos);
// 1 / (1 + z / ionW / ionW);
//}
//
//println(integrator.integrate(lorentz, cutoff, 800))