本文整理汇总了Python中Physics.gaussian方法的典型用法代码示例。如果您正苦于以下问题：Python Physics.gaussian方法的具体用法？Python Physics.gaussian怎么用？Python Physics.gaussian使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Physics的用法示例。
在下文中一共展示了Physics.gaussian方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: sigma
# 需要导入模块: import Physics [as 别名]
# 或者: from Physics import gaussian [as 别名]
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示例2: sigma
# 需要导入模块: import Physics [as 别名]
# 或者: from Physics import gaussian [as 别名]
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)示例3: sigma
# 需要导入模块: import Physics [as 别名]
# 或者: from Physics import gaussian [as 别名]
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