Tibeuleu/FOC_Reduction
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Latest data products (.c0f) are already transmition corrected, remove correction by default

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Tibeuleu
2022-11-14 10:44:51 +01:00
parent 47f0ead97c
commit 973afe9217
49 changed files with 50 additions and 44 deletions
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8
src/comparison_Kishimoto.py
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@@ -65,9 +65,9 @@ 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_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")
@@ -83,8 +83,8 @@ 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"$P$ [%]")
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')