Tibeuleu/FOC_Reduction
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Change background estimation to max of histogram

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Tibeuleu
2022-11-23 16:51:44 +01:00
parent 973afe9217
commit 1052784286
459 changed files with 273 additions and 75 deletions
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10
src/lib/plots.py
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@@ -337,7 +337,7 @@ def polarization_map(Stokes, data_mask=None, rectangle=None, SNRp_cut=3., SNRi_c
# Display polarization degree map
display='pa'
vmin, vmax = 0., 360.
im = ax.imshow(pang.data, vmin=vmin, vmax=vmax, aspect='equal', cmap='inferno', alpha=1.)
im = ax.imshow(princ_angle(pang.data), vmin=vmin, vmax=vmax, aspect='equal', cmap='inferno', alpha=1.)
cbar = plt.colorbar(im, cax=cbar_ax, label=r"$\theta_P$ [°]")
elif display.lower() in ['s_p','pol_err','pol_deg_err']:
# Display polarization degree error map
@@ -1743,7 +1743,7 @@ class pol_map(object):
vmin, vmax = 0., np.max(self.data[self.data > 0.])
label = r"$P$ [%]"
elif self.display_selection.lower() in ['pol_ang']:
self.data = self.PA
self.data = princ_angle(self.PA)
vmin, vmax = 0, 360.
label = r"$\theta_{P}$ [°]"
elif self.display_selection.lower() in ['snri']:
@@ -1833,7 +1833,7 @@ class pol_map(object):
P_cut = np.sqrt(Q_cut**2+U_cut**2)/I_cut
P_cut_err = np.sqrt((Q_cut**2*Q_cut_err**2 + U_cut**2*U_cut_err**2 + 2.*Q_cut*U_cut*QU_cut_err)/(Q_cut**2 + U_cut**2) + ((Q_cut/I_cut)**2 + (U_cut/I_cut)**2)*I_cut_err**2 - 2.*(Q_cut/I_cut)*IQ_cut_err - 2.*(U_cut/I_cut)*IU_cut_err)/I_cut
PA_cut = princ_angle(np.degrees((1./2.)*np.arctan2(U_cut,Q_cut))+180.)
PA_cut = 360.-princ_angle(np.degrees((1./2.)*np.arctan2(U_cut,Q_cut)))
PA_cut_err = princ_angle(np.degrees((1./(2.*(Q_cut**2+U_cut**2)))*np.sqrt(U_cut**2*Q_cut_err**2 + Q_cut**2*U_cut_err**2 - 2.*Q_cut*U_cut*QU_cut_err)))
else:
@@ -1858,7 +1858,7 @@ class pol_map(object):
P_reg = np.sqrt(Q_reg**2+U_reg**2)/I_reg
P_reg_err = np.sqrt((Q_reg**2*Q_reg_err**2 + U_reg**2*U_reg_err**2 + 2.*Q_reg*U_reg*QU_reg_err)/(Q_reg**2 + U_reg**2) + ((Q_reg/I_reg)**2 + (U_reg/I_reg)**2)*I_reg_err**2 - 2.*(Q_reg/I_reg)*IQ_reg_err - 2.*(U_reg/I_reg)*IU_reg_err)/I_reg
PA_reg = princ_angle((90./np.pi)*np.arctan2(U_reg,Q_reg)+180.)
PA_reg = 360.-princ_angle((90./np.pi)*np.arctan2(U_reg,Q_reg))
PA_reg_err = (90./(np.pi*(Q_reg**2+U_reg**2)))*np.sqrt(U_reg**2*Q_reg_err**2 + Q_reg**2*U_reg_err**2 - 2.*Q_reg*U_reg*QU_reg_err)
new_cut = np.logical_and(self.region, self.cut)
@@ -1875,7 +1875,7 @@ class pol_map(object):
P_cut = np.sqrt(Q_cut**2+U_cut**2)/I_cut
P_cut_err = np.sqrt((Q_cut**2*Q_cut_err**2 + U_cut**2*U_cut_err**2 + 2.*Q_cut*U_cut*QU_cut_err)/(Q_cut**2 + U_cut**2) + ((Q_cut/I_cut)**2 + (U_cut/I_cut)**2)*I_cut_err**2 - 2.*(Q_cut/I_cut)*IQ_cut_err - 2.*(U_cut/I_cut)*IU_cut_err)/I_cut
PA_cut = princ_angle((90./np.pi)*np.arctan2(U_cut,Q_cut)+180.)
PA_cut = 360.-princ_angle((90./np.pi)*np.arctan2(U_cut,Q_cut))
PA_cut_err = (90./(np.pi*(Q_cut**2+U_cut**2)))*np.sqrt(U_cut**2*Q_cut_err**2 + Q_cut**2*U_cut_err**2 - 2.*Q_cut*U_cut*QU_cut_err)
if hasattr(self, 'cont'):