def sigma(self, G=False, order=1, distribution="gaussian"):
local_xtal_g = self.change_the_g(self.xtal.g)
#print "g", self.xtal.g, local_xtal_g
#lgn=Physics.normalize(local_xtal_g)
local_xtal_gphi = Physics.atan2(local_xtal_g[1], local_xtal_g[0])
#local_xtal_gtheta = math.acos(lgn[2])
tB = self.xtal.keV2Bragg(self.photon.e)
factor = 2.5
ang_fac = Physics.angular_factor(tB)
cosine = abs(self.photon.k[2]/self.photon.knorm)
Q = self.xtal.mat_facs[order]*ang_fac
if G is None: G=self.g_needed(order)
if distribution=="hat":
Dtheta = Physics.anglebetween(G, local_xtal_g) # - 2.0 * Physics.anglebetween(self.xtal.g, local_xtal_g)
eta = 2.4e-6 + (self.xtal.dim[2] * self.xtal.curvature) / factor
weight=Physics.hat1(Dtheta, eta)*cosine/Q
elif distribution=="gaussian":
Dtheta = Physics.anglebetween(G, local_xtal_g) # - 2.0 * Physics.anglebetween(self.xtal.g, local_xtal_g)
weight=Physics.gaussian(Dtheta, self.xtal.eta)
else: return 0.
return Q*weight/cosine
def sigma(self, keV, OFFSET=0., order=1, distribution="gaussian"):
"""Replacement for Physics.sigma function."""
tB = self.keV2Bragg(keV, order)
Q = self.mat_facs[order]*Physics.angular_factor(tB)
Dtheta = self.getDelta(tB, OFFSET)
if distribution=="hat":
weight=Physics.hat(Dtheta, Physics.eta2fwhm(self.eta))
elif distribution=="gaussian":
weight=Physics.gaussian(Dtheta, self.eta)
else: return 0.
return Q*weight/math.cos(tB)
def sigma(self, G=False, order=1, distribution="gaussian"):
"""Interface to the sigma function from Physics."""
tB = self.xtal.keV2Bragg(self.photon.e)
ang_fac = Physics.angular_factor(tB)
Q = self.xtal.mat_facs[order]*ang_fac
if G is None: G=self.g_needed(order)
Dtheta = Physics.anglebetween(G, self.xtal.g)
if distribution=="hat":
weight=Physics.hat(Dtheta, Physics.eta2fwhm(self.xtal.eta))
elif distribution=="gaussian":
weight=Physics.gaussian(Dtheta, self.xtal.eta)
else: return 0.
cosine = abs(self.photon.k[2]/self.photon.knorm)
return Q*weight/cosine
