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Fix order of interpolation grids in preproc_ascii_opac.py (sorry). #56

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Nov 20, 2024
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Fix order of interpolation grids in preproc_ascii_opac.py (sorry). #56

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30 changes: 25 additions & 5 deletions singularity-opac/photons/example_ascii/preproc_ascii_opac.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,7 @@
parser.add_argument("fname", type=str, help="Opacity file to re-grid.")
parser.add_argument("--is_loglog", action="store_true", help="Avoid regridding if already log-log.")
parser.add_argument("--fname_new", type=str, default="kappa_new.txt", help="File name for new file created.")
parser.add_argument("--plot", action="store_true", help="If not log-log, plot colormap of original and regridded data.")
args = parser.parse_args()

NRho = -1
Expand Down Expand Up @@ -62,10 +63,30 @@
ross_old_opac = np.reshape(opac[:,2], (NRho, NT))
plnk_old_opac = np.reshape(opac[:,3], (NRho, NT))
#-- linearly interpolate in log-log rho-T
ross_f2d = interp2d(np.log10(Rho), np.log10(T), ross_old_opac, kind='linear')
plnk_f2d = interp2d(np.log10(Rho), np.log10(T), plnk_old_opac, kind='linear')
ross_new_opac = ross_f2d(np.log10(r), np.log10(tt))
plnk_new_opac = plnk_f2d(np.log10(r), np.log10(tt))
ross_f2d = interp2d(np.log10(T), np.log10(Rho), ross_old_opac, kind='linear')
plnk_f2d = interp2d(np.log10(T), np.log10(Rho), plnk_old_opac, kind='linear')
ross_new_opac = ross_f2d(np.log10(tt), np.log10(r))
plnk_new_opac = plnk_f2d(np.log10(tt), np.log10(r))
#-- plot 4-panel of data
if (args.plot):
import matplotlib.pyplot as plt
XOLD, YOLD = np.meshgrid(np.log10(T), np.log10(Rho))
XNEW, YNEW = np.meshgrid(np.log10(tt), np.log10(r))
fig, axes = plt.subplots(2, 2)
im1 = axes[0, 0].pcolormesh(XOLD, YOLD, ross_old_opac)
axes[0, 0].set_title('Old Rosseland')
fig.colorbar(im1, ax=axes[0, 0])
im2 = axes[0, 1].pcolormesh(XOLD, YOLD, plnk_old_opac)
axes[0, 1].set_title('Old Planck')
fig.colorbar(im2, ax=axes[0, 1])
im3 = axes[1, 0].pcolormesh(XNEW, YNEW, ross_new_opac)
axes[1, 0].set_title('New Rosseland')
fig.colorbar(im3, ax=axes[1, 0])
im4 = axes[1, 1].pcolormesh(XNEW, YNEW, plnk_new_opac)
axes[1, 1].set_title('New Planck')
fig.colorbar(im4, ax=axes[1, 1])
plt.tight_layout()
plt.show()
#-- reset opacity array
for i in range(NRho):
for j in range(NT):
Expand All @@ -80,4 +101,3 @@
"rho_min {:.8e}".format(r[0])+" rho_max {:.8e}".format(r[NRho-1]) + "\n" \
"T_min {:.8e}".format(tt[0]) + " T_max {:.8e}".format(tt[NT-1])
np.savetxt(args.fname_new, opac[:,2:], delimiter=" ", header=hdr, comments=" ", fmt="%.8e")

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