Source code for pySAXS.models.Guinier

from model import Model
from pySAXS.LS.LSsca import Qlogspace
from pySAXS.LS.LSsca import Guinier
import numpy

[docs]class GuinierModel(Model): ''' Guinier by OT : 15/11/2011 '''
[docs] def Guinier_function(self,q,par): """ q array of q (A-1) par[0] I0 par[1] Rg """ I0=par[0] Rg = par[1] return Guinier(q,I0,Rg) #parameters definition
IntensityFunc=Guinier_function #function N=0 q=Qlogspace(1e-4,1.,500.) #q range(x scale) Arg=[1.0,300] #list of parameters Format=["%f","%f"] #list of c format istofit=[True,True] #list of boolean for fitting name="Guinier" #name of the model Doc=["I0",\ "Radius of giration (A)" ] #list of description for parameters Description="Guinier model" # description of model Author="Olivier Tach'e & Olivier Spalla" #name of Author
if __name__=="__main__": ''' test code ''' modl=PolyGaussAnaDC() #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")