Source code for pySAXS.models.PCylinder_two_layers

from model import Model
from pySAXS.LS.LSsca import *
import numpy

[docs]class Core_shell_Cylinder(Model): ''' Core-shell cylinder in solvent by OS : 10/11/2011 '''
[docs] def PCylinder_2L(self,q,par): """ q array of q (A-1) par[0] inner radius (in 1/q) par[1] outer radius (in 1/q) par[2] length (in 1/q) par[3] SLD inner cylinder (cm-2) par[4] SLD outer shell (cm-2) par[5] SLD medium (cm-2) par[6] number density (cm-3) """ R=[par[0],par[1]] L=par[2] rho = [par[3],par[4],par[5]] n=par[6] f = Pcylmulti(q,R,rho,L,n) return f
IntensityFunc=PCylinder_2L #function N=0 q=Qlogspace(1e-4,1.,200.) #q range(x scale) Arg=[30.,35.,200.,9.8e10,9.8e11,9.8e10,1e10] #list of parameters Format=["%f","%f","%f","%1.3e","%1.3e","%1.3e","%1.3e"] #list of c format istofit=[True,True,True,False,False,False,False] #list of boolean for fitting name="Core-shell cylinder" #name of the model Doc=["Inner radius ",\ "Outer radius ",\ "Length ",\ "scattering length density of the core cylinder (cm-2)",\ "scattering length density of the shell cylinder (cm-2)",\ "scattering length density of medium (cm-2)",\ "Number density (cm-3)"] #list of description for parameters Description="Core-shell cylinder" # description of model Author="Olivier Spalla" #name of Author
if __name__=="__main__": ''' test code ''' modl=Core_shell_Cylinder() #plot the model import Gnuplot gp=Gnuplot.Gnuplot() gp("set logscale xy") c=Gnuplot.Data(modl.q,modl.getIntensity(),with_='points') gp.plot(c) raw_input("enter") #plot and fit the noisy model yn=modl.getNoisy(0.8) cn=Gnuplot.Data(modl.q,yn,with_='points') res=modl.fit(yn) cf=Gnuplot.Data(modl.q,modl.IntensityFunc(modl.q,res),with_='lines') gp.plot(c,cn,cf) raw_input("enter") #plot and fit the noisy model with fitBounds bounds=modl.getBoundsFromParam() #[250.0,2e11,1e10,1.5e15] res2=modl.fitBounds(yn,bounds) print res2 raw_input("enter")