class ECRadRayManipulator(object):
'''
classdocs
'''
def __init__(self, ECRad_result_file):
'''
Constructor
'''
self.org_results_file = ECRad_result_file
self.ECRad_results = ECRadResults()
self.ECRad_results.from_mat_file(ECRad_result_file)
self.N_ch = self.ECRad_results.Scenario.ray_launch[0]["f"]
self.N_ray = self.ECRad_results.Config["Physics"]["N_ray"]
if (self.ECRad_results.Config["Physics"]["considered_modes"] == 1):
self.modes = ["X"]
elif (self.ECRad_results.Config["Physics"]["considered_modes"] == 2):
self.modes = ["O"]
elif (self.ECRad_results.Config["Physics"]["considered_modes"] == 3):
self.modes = ["X", "O"]
else:
raise ValueError("Invalid value in considered modes")
def get_Rz_single_ray(self, it, ich, mode="X", iray=0):
if (self.N_ray == 1):
R = np.sqrt(self.ECRad_results.ray["x"+mode][it][ich]**2 + \
self.ECRad_results.ray["y"+mode][it][ich]**2)
return R, self.ECRad_results.ray["z" + mode][it][ich]
else:
R = np.sqrt(self.ECRad_results.ray["x"+mode][it][ich][iray]**2 + \
self.ECRad_results.ray["y"+mode][it][ich][iray]**2)
return R, self.ECRad_results.ray["z" + mode][it][ich][iray]
def get_field_single_ray(self, field, it, ich, mode="X", iray=0):
if (self.N_ray == 1):
return self.ECRad_results.ray[field + mode][it][ich]
else:
return self.ECRad_results.ray[field + mode][it][ich][iray]
def set_field_single_ray(self, field, values, it, ich, mode="X", iray=0):
if (self.N_ray == 1):
if (self.ECRad_results.ray[field + mode][it][ich].shape !=
values.shape):
raise ValueError(
"The new values must have the same shape as the original values"
)
self.ECRad_results.ray[field + mode][it][ich] = values
else:
if (self.ECRad_results.ray[field + mode][it][ich][iray].shape !=
values.shape):
raise ValueError(
"The new values must have the same shape as the original values"
)
self.ECRad_results.ray[field + mode][it][ich][iray] = values
def save(self, new_filename, comment=""):
if (new_filename == self.org_results_file):
print("This routine does not allow overwriting of the old file!")
return
self.ECRad_results.to_mat_file(new_filename, comment)
def manipiulate_rays(result_file_in, result_file_out):
res = ECRadResults()
res.from_mat_file(result_file_in)
for index in range(len(res.time)):
for ich in range(len(res.Scenario.ray_launch[index]["f"])):
for mode in res.modes:
if (res.Config["Physics"]["N_ray"] > 1):
for iray in range(len(res.ray["s" + mode][index][ich])):
res.ray["Te" + mode][index][ich][iray][:] /= 2.0
else:
res.ray["Te" + mode][index][ich][:] /= 2.0
res.to_mat_file(result_file_out)
def diag_weight_stand_alone(fig,
ax,
Result_file,
time_point,
ch,
DistWaveFile=None):
Results = ECRadResults()
Results.from_mat_file(Result_file)
fig = diag_weight(fig,
Results,
time_point,
ch,
DistWaveFile=DistWaveFile,
ax=ax)
def repair_ECRad_results(folder_in, folder_out=None):
# Allows to make bulk modification of result files using glob
# If folder_out is True it overwrites!
filelist = glob.glob(os.path.join(folder_in, "*.mat"))
# filelist = ['/tokp/work/sdenk/DRELAX_Results/ECRad_35662_ECECTACTC_run0208.mat']
cur_result = ECRadResults()
for filename in filelist:
cur_result.reset()
cur_result.from_mat_file(filename)
# Enter bulk modifcations here
cur_result.Scenario.used_diags_dict["CTC"].diag = "CTC"
if(folder_out is None):
cur_result.to_mat_file(filename)
else:
cur_result.to_mat_file(os.path.join(folder_out, os.path.basename(filename)))
def ECRH_weight(fig,
Result_file,
time_point,
ibeam,
DistWaveFile,
beam_freq=105.e9,
ax=None):
# Currently only RELAX/LUKE distributions supported
# Extension for GENE trivial though
if (ax is None):
ax = fig.add_subplot(111)
harmonic_n = 2
Results = ECRadResults()
Results.from_mat_file(Result_file)
itime = np.argmin(np.abs(time_point -
Results.Scenario.plasma_dict["time"]))
time_cor = Results.Scenario.plasma_dict["time"][itime]
EQObj = EQDataExt(Results.Scenario.shot)
EQObj.set_slices_from_ext(Results.Scenario.plasma_dict["time"],
Results.Scenario.plasma_dict["eq_data"])
B_ax = EQObj.get_B_on_axis(time_cor)
EqSlice = EQObj.GetSlice(time_point)
dist_wave_mat = loadmat(DistWaveFile)
dist_obj = load_f_from_mat(DistWaveFile, True)
f_inter = make_f_inter(Results.Config["Physics"]["dstf"],
dist_obj=dist_obj,
EQObj=EQObj,
time=time_cor)[0]
linear_beam = read_waves_mat_to_beam(dist_wave_mat,
EqSlice,
use_wave_prefix=None)
itme = np.argmin(np.abs(Results.Scenario.plasma_dict["time"] - time_point))
Te_spl = InterpolatedUnivariateSpline(Results.Scenario.plasma_dict[Results.Scenario.plasma_dict["prof_reference"]][itime], \
np.log(Results.Scenario.plasma_dict["Te"][itme]))
ne_spl = InterpolatedUnivariateSpline(Results.Scenario.plasma_dict[Results.Scenario.plasma_dict["prof_reference"]][itime], \
np.log(Results.Scenario.plasma_dict["ne"][itme]))
m = 40
n = 80
u_perp_grid = np.linspace(0.0, np.max(dist_obj.u), m)
u_par_grid = np.linspace(-np.max(dist_obj.u), np.max(f_inter.x), n)
diag_weight_f = np.zeros((m, n))
for ray in linear_beam.rays[ibeam]:
tot_pw_ray, cur_PDP = make_PowerDepo_3D_for_ray(ray, beam_freq, "Re", harmonic_n, \
B_ax, EqSlice, Te_spl, ne_spl, f_inter, \
N_pnts=100, fast= True)
for irhop in range(len(cur_PDP.rho)):
print(irhop + 1, " / ", len(cur_PDP.rho))
intercep_points = find_cell_interceps(u_par_grid, u_perp_grid,
cur_PDP, irhop)
for i_intercep, intercep_point in enumerate(intercep_points[:-1]):
i = np.argmin(np.abs(intercep_point[0] - u_par_grid))
j = np.argmin(np.abs(intercep_point[1] - u_perp_grid))
if (u_par_grid[i] > intercep_point[0]):
i -= 1
if (u_perp_grid[j] > intercep_point[1]):
j -= 1
if (i < 0 or j < 0):
continue # only happens at the lower bounds, where u_perp is very small and, therefore, also j is very small
# Compute arclength
t = np.zeros(cur_PDP.u_par[irhop].shape)
for i_res_line in range(1, len(cur_PDP.u_par[irhop])):
t[i_res_line] = t[i_res_line - 1] + np.sqrt((cur_PDP.u_par[irhop][i_res_line] - cur_PDP.u_par[irhop][i_res_line - 1])**2 + \
(cur_PDP.u_perp[irhop][i_res_line] - cur_PDP.u_perp[irhop][i_res_line - 1])**2)
t /= np.max(t) # Normalize this
# Sort
t_spl = InterpolatedUnivariateSpline(cur_PDP.u_par[irhop], t)
try:
PDP_val_spl = InterpolatedUnivariateSpline(
t, cur_PDP.val[irhop])
except Exception as e:
print(e)
t1 = t_spl(intercep_point[0])
t2 = t_spl(intercep_points[i_intercep + 1][0])
diag_weight_f[j,i] += tot_pw_ray * \
PDP_val_spl.integral(t1, t2)
ax.contourf(u_perp_grid, u_par_grid, diag_weight_f.T / np.max(diag_weight_f.flatten()), \
levels = np.linspace(0.01,1,10), cmap = plt.get_cmap("Greens"))
m = cm.ScalarMappable(cmap=plt.cm.get_cmap("Greens"))
m.set_array(np.linspace(0.01, 1.0, 10))
cb_diag = fig.colorbar(m, pad=0.15, ticks=[0.0, 0.5, 1.0])
cb_diag.set_label(r"$\mathrm{d}P/\mathrm{d}s [\si{{a.u.}}]$")
ax.set_ylabel(r"$u_\parallel$")
ax.set_xlabel(r"$u_\perp$")
ax.set_aspect("equal")
return fig
