def _get_opacity(self):
sp_tr = np.empty((len(self.mat), len(self.nu)))
sp_tr_filters = np.ones(self.nu.shape)
for el, thick in self.filters.iteritems():
sp_tr_filters *= np.exp(-cold_opacity(el, nu=self.nu)*thick)
ip_sens = ip_sensitivity(self.nu)
for k, el in enumerate(self.mat):
sp_tr[k] = np.exp(-cold_opacity(el, nu=self.nu)*self.thick[k])\
* sp_tr_filters * ip_sens
return sp_tr
def _get_opacity(self):
sp_tr = np.empty((len(self.mat), len(self.nu)))
sp_tr_filters = np.ones(self.nu.shape)
for el, thick in self.filters.iteritems():
sp_tr_filters *= np.exp(-cold_opacity(el, nu=self.nu) * thick)
ip_sens = ip_sensitivity(self.nu)
for k, el in enumerate(self.mat):
sp_tr[k] = np.exp(-cold_opacity(el, nu=self.nu)*self.thick[k])\
* sp_tr_filters * ip_sens
return sp_tr
def ofunc2(pars, thick, nu, el):
spectra= compute_spectra(pars, nu)
sp_tr_filters = np.ones(nu.shape)
for filt_el, filt_thick in self.filters.iteritems():
sp_tr_filters *= np.exp(-cold_opacity(filt_el, nu=nu)*filt_thick)
ip_sens = ip_sensitivity(nu)
comp_tr = []
for this_thick in thick:
sp_sens = np.exp(-cold_opacity(el, nu=nu)*this_thick)\
* sp_tr_filters * ip_sens * spectra
comp_tr.append(np.trapz(sp_sens, nu, axis=0))
return np.array(comp_tr).reshape((1,-1))
def ofunc2(pars, thick, nu, el):
spectra = compute_spectra(pars, nu)
sp_tr_filters = np.ones(nu.shape)
for filt_el, filt_thick in self.filters.iteritems():
sp_tr_filters *= np.exp(-cold_opacity(filt_el, nu=nu) *
filt_thick)
ip_sens = ip_sensitivity(nu)
comp_tr = []
for this_thick in thick:
sp_sens = np.exp(-cold_opacity(el, nu=nu)*this_thick)\
* sp_tr_filters * ip_sens * spectra
comp_tr.append(np.trapz(sp_sens, nu, axis=0))
return np.array(comp_tr).reshape((1, -1))
def xray_filter_transmission(nu, element=None, thickness=None, layers=None):
"""
Computes filter transmission for solid foils
Parameters:
-----------
- nu [ndarray] photon frequency array [eV]
- element: [str] filter element, should be in matdb
- thickness: [float] foil thickness [cm]
- layers: [dict] dict of layers
{'element1': thickness1, 'element2': thickness2, ...}
"""
wrong_args = np.array(
[arg is None for arg in [element, thickness, layers]])
if wrong_args.all() or (~wrong_args).all():
raise ValueError(
'You should provide either element and thickness or layers dict!')
if layers is None:
op = cold_opacity(element,
hedp.matdb(element).solid_dens, nu, 'pickle')
return np.exp(-op * thickness)
else:
Transmissions = [xray_filter_transmission(nu, el, thick)\
for el, thick in layers.iteritems()]
return np.prod(np.array(Transmissions), axis=0)
def xray_filter_transmission(nu, element=None, thickness=None,layers=None):
"""
Computes filter transmission for solid foils
Parameters:
-----------
- nu [ndarray] photon frequency array [eV]
- element: [str] filter element, should be in matdb
- thickness: [float] foil thickness [cm]
- layers: [dict] dict of layers
{'element1': thickness1, 'element2': thickness2, ...}
"""
wrong_args = np.array([arg is None for arg in [element, thickness, layers]])
if wrong_args.all() or (~wrong_args).all():
raise ValueError('You should provide either element and thickness or layers dict!')
if layers is None:
op = cold_opacity(element,
hedp.matdb(element).solid_dens,
nu, 'pickle')
return np.exp(-op*thickness)
else:
Transmissions = [xray_filter_transmission(nu, el, thick)\
for el, thick in layers.iteritems()]
return np.prod(np.array(Transmissions), axis=0)
