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revise use of phto_num and lambda_0 arguments in utils #40

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Merged
hightower8083 merged 3 commits into from
Oct 9, 2025
Merged

revise use of phto_num and lambda_0 arguments in utils #40

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727f12d
revised use of phto_num and lambda_0 arguments in utils
hightower8083 Oct 9, 2025
b488aea
re-added tracksFromOPMD method to utils for compatibility
hightower8083 Oct 9, 2025
b7dc6b9
revised arguments in utils in PIC tutorial plotter
hightower8083 Oct 9, 2025
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33 changes: 19 additions & 14 deletions synchrad/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,8 @@
from scipy.interpolate import griddata
from scipy.ndimage import gaussian_filter

from .converters import tracksFromOPMD

try:
from tvtk.api import tvtk, write_data
tvtk_installed = True
Expand Down Expand Up @@ -61,13 +63,6 @@ def get_full_spectrum(self, spect_filter=None, \
if normalize_to_weights:
val /= self.total_weight

if phot_num:
ax = self.Args['omega']
val /= ax[:,None,None]
else:
if lambda0_um is not None:
val *= J_in_um / lambda0_um

return val

def get_energy_spectrum(self, spect_filter=None, \
Expand All @@ -79,13 +74,13 @@ def get_energy_spectrum(self, spect_filter=None, \
if self.Args['mode'] == 'far':
theta_loc = 0.5 * (self.Args['theta'][1:] + self.Args['theta'][:-1])
val_loc = 0.5 * (val[:,1:,:] + val[:,:-1,:])
int_theta = np.trapz( val_loc * np.sin(theta_loc)[None,:,None],
int_theta = np.trapezoid( val_loc * np.sin(theta_loc)[None,:,None],
theta_loc, axis=1)
val = self.Args['dph'] * int_theta.sum(-1)

elif self.Args['mode'] == 'near':
r_loc = self.Args['radius']
int_r = np.trapz( val * r_loc[None,:,None], r_loc, axis=1)
int_r = np.trapezoid( val * r_loc[None,:,None], r_loc, axis=1)
val = self.Args['dph'] * int_r.sum(-1)

return val
Expand All @@ -96,7 +91,13 @@ def get_energy(self, spect_filter=None, \
val = self.get_energy_spectrum(spect_filter=spect_filter, \
phot_num=phot_num, lambda0_um=lambda0_um, **kw_args)

val = np.trapz(val, self.Args['omega'])
if phot_num:
val /= self.Args['omega']
else:
if lambda0_um is not None:
val *= J_in_um / lambda0_um

val = np.trapezoid(val, self.Args['omega'])
return val

def get_spot(self, k0=None, spect_filter=None, \
Expand All @@ -106,13 +107,17 @@ def get_spot(self, k0=None, spect_filter=None, \
phot_num=phot_num, lambda0_um=lambda0_um, **kw_args)

if k0 is None:
if phot_num:
ax = self.Args['omega']
val /= ax[:,None,None]
else:
if lambda0_um is not None:
val *= J_in_um / lambda0_um

if val.shape[0]>1:
val = np.trapz(val, self.Args['omega'], axis=0)
val = np.trapezoid(val, self.Args['omega'], axis=0)
else:
val = val[0] * self.Args['dw']
#if val.shape[0]>1:
# val = 0.5*(val[1:] + val[:-1])
#val = (val*self.Args['dw'][:, None, None]).sum(0)
else:
ax = self.Args['omega']
indx = (ax<k0).sum()
Expand Down
13 changes: 4 additions & 9 deletions tutorials/PIC/plot_spectrum.py
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Original file line number Diff line number Diff line change
Expand Up @@ -53,11 +53,6 @@

calc = SynchRad(file_spectrum="spectrum.h5")

# with h5py.File("spectrum.h5", "r") as f:
# calc.Data["radiation"] = {}
# for key in f["radiation"].keys():
# calc.Data["radiation"][key] = f[f"radiation/{key}"][...] / total_particle_weight

# compute total emitted energy
E_cutoff = 1.0 # keV
eph_keV_m = 1.24e-9
Expand All @@ -68,21 +63,21 @@
spect_filter = (energy_axis_full > E_cutoff)[:, np.newaxis, np.newaxis]

energy_tot = calc.get_energy(
lambda0_um=1e6, phot_num=False, spect_filter=spect_filter
lambda0_um=1e6, spect_filter=spect_filter
)
energy_per_C = energy_tot/(e*calc.total_weight)
print(f"Total energy emitted in >{E_cutoff:g} keV: {energy_per_C:g} J/C")

# plot energy spectrum
pyplot.figure()
energy_spectrum1D = calc.get_energy_spectrum(lambda0_um=1e6)
pyplot.semilogx(energy_axis, energy_spectrum1D)
energy_spectrum1D = calc.get_energy_spectrum()
pyplot.semilogx(energy_axis, energy_spectrum1D * 1e-3) # 1e-3 is for 0.1% units
pyplot.xlabel("Photon energy (keV)")
pyplot.ylabel("Brightness (ph./0.1%b.w./e$^-$)")
pyplot.savefig("energy_spectrum_1D.png")

# plot real-space emission
spotXY_far, ext_far = calc.get_spot_cartesian(bins=(512, 512), lambda0_um=1.0)
spotXY_far, ext_far = calc.get_spot_cartesian(bins=(512, 512), lambda0_um=1e6)

fig = pyplot.figure(figsize=(8, 8))
Plot2D(
Expand Down
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