def __init__(self, dopant, N, ll, cint=constraints.AlwaysTrue()):
self.ll = ll;
sigmaabsFun = params.dyeDopants[dopant]["sigmaabs"];
sigmaemiFun = params.dyeDopants[dopant]["sigmaemi"];
self.sigmaabs = list(map(sigmaabsFun, ll)); # m^2
self.sigmaemi = list(map(sigmaemiFun, ll)); # m^2
self.alpha = list(map(lambda sigma: sigma*N, self.sigmaabs));
self.sumEmi = sum(self.sigmaemi);
tauRad = params.dyeDopants[dopant]["tauRad"];
tauNR = params.dyeDopants[dopant]["tauNR"];
self.quantumYield = tauNR/(tauRad+tauNR);
self.N = N;
self.constraint = cint;
def __init__(self, interphase, cint = constraints.AlwaysTrue()):
self.interphase = interphase;
self.constraint = cint;
def __init__(self, interphase, numLL, cint = constraints.AlwaysTrue()):
self.interphase = interphase;
self.finalPower = [0]*numLL;
self.constraint = cint;
self.counter = 0;
def __init__(self, medium, ll, cint=constraints.AlwaysTrue()):
self.alpha = list(map(params.media[medium]["att"], ll)); # m^-1
self.constraint = cint;
def __init__(self, interphase, mediumPlus, mediumMinus, ll, cint = constraints.AlwaysTrue()):
self.interphase = interphase;
self.Nplus = list(map(params.media[mediumPlus]["n"], ll));
self.Nminus = list(map(params.media[mediumMinus]["n"], ll));
self.constraint = cint;