Tibeuleu/FOC_Reduction
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

add 180° as a convention to PA

Browse Source
This commit is contained in:
Tibeuleu
2022-11-09 16:05:17 +01:00
parent 359e5b401f
commit 47f0ead97c
32 changed files with 36 additions and 34 deletions
Download Patch File Download Diff File Expand all files Collapse all files

14
src/comparison_Kishimoto.py
View File

@@ -1,5 +1,5 @@
#!/usr/bin/env python
from lib.reduction import align_data, princ_angle
from lib.reduction import align_data, crop_array, princ_angle
from lib.deconvolve import zeropad
from matplotlib.colors import LogNorm
from os.path import join as path_join
@@ -46,7 +46,7 @@ for d in [data_S, data_K]:
d[i][np.isnan(d[i])] = 0.
d['P'] = np.where(d['I']>0.,np.sqrt(d['Q']**2+d['U']**2)/d['I'],0.)
d['sP'] = np.where(d['I']>0.,np.sqrt((d['Q']**2*d['sQ']**2+d['U']**2*d['sU']**2)/(d['Q']**2+d['U']**2)+((d['Q']/d['I'])**2+(d['U']/d['I'])**2)*d['sI']**2)/d['I'],0.)
d['PA'] = (90./np.pi)*np.arctan2(d['U'],d['Q'])
d['PA'] = princ_angle((90./np.pi)*np.arctan2(d['U'],d['Q'])+180.)
d['SNRp'] = np.zeros(d['P'].shape)
d['SNRp'][d['sP']>0.] = d['P'][d['sP']>0.]/d['sP'][d['sP']>0.]
d['SNRi'] = np.zeros(d['I'].shape)
@@ -65,7 +65,11 @@ ax = fig.add_subplot(111, projection=wcs)
fig.subplots_adjust(right=0.85)
cbar_ax = fig.add_axes([0.88, 0.12, 0.01, 0.75])
im0 = ax.imshow(data_S['I']*convert_flux,norm=LogNorm(data_S['I'][data_S['I']>0].min()*convert_flux,data_S['I'][data_S['I']>0].max()*convert_flux),origin='lower',cmap='gray',label=r"$I_{STOKES}$ through this pipeline")
#im0 = ax.imshow(data_S['I']*convert_flux,norm=LogNorm(data_S['I'][data_S['I']>0].min()*convert_flux,data_S['I'][data_S['I']>0].max()*convert_flux),origin='lower',cmap='gray',label=r"$I_{STOKES}$ through this pipeline")
#im0 = ax.imshow(data_K['P']*100.,vmin=0.,vmax=100.,origin='lower',cmap='inferno',label=r"$P$ through Kishimoto's pipeline")
im0 = ax.imshow(data_S['P']*100.,vmin=0.,vmax=100.,origin='lower',cmap='inferno',label=r"$P$ through this pipeline")
#im0 = ax.imshow(data_K['PA'],vmin=0.,vmax=360.,origin='lower',cmap='inferno',label=r"$\theta_P$ through Kishimoto's pipeline")
#im0 = ax.imshow(data_S['PA'],vmin=0.,vmax=360.,origin='lower',cmap='inferno',label=r"$\theta_P$ through this pipeline")
quiv0 = ax.quiver(data_S['X'],data_S['Y'],data_S['xy_U'],data_S['xy_V'],units='xy',angles='uv',scale=0.5,scale_units='xy',pivot='mid',headwidth=0.,headlength=0.,headaxislength=0.,width=0.1,color='b',alpha=0.75, label="PA through this pipeline")
quiv1 = ax.quiver(data_K['X'],data_K['Y'],data_K['xy_U'],data_K['xy_V'],units='xy',angles='uv',scale=0.5,scale_units='xy',pivot='mid',headwidth=0.,headlength=0.,headaxislength=0.,width=0.1,color='r',alpha=0.75, label="PA through Kishimoto's pipeline")
@@ -79,7 +83,9 @@ ax.coords[1].set_axislabel_position('l')
ax.coords[1].set_ticklabel_position('l')
#ax.axis('equal')
cbar = plt.colorbar(im0, cax=cbar_ax, label=r"$F_{\lambda}$ [$ergs \cdot cm^{-2} \cdot s^{-1} \cdot \AA^{-1}$]")
#cbar = plt.colorbar(im0, cax=cbar_ax, label=r"$F_{\lambda}$ [$ergs \cdot cm^{-2} \cdot s^{-1} \cdot \AA^{-1}$]")
cbar = plt.colorbar(im0, cax=cbar_ax, label=r"$P$ [%]")
#cbar = plt.colorbar(im0, cax=cbar_ax, label=r"$\theta_P$ [°]")
plt.rcParams.update({'font.size': 15})
ax.legend(loc='upper right')