Tibeuleu/FOC_Reduction
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add 180° as a convention to PA

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Tibeuleu
2022-11-09 16:05:17 +01:00
parent 359e5b401f
commit 47f0ead97c
32 changed files with 36 additions and 34 deletions
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26
src/lib/plots.py
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@@ -450,20 +450,16 @@ class align_maps(object):
self.other_map = other_map
self.wcs_map = deepcopy(WCS(self.map[0])).celestial
# if self.wcs_map.naxis == 4:
# self.wcs_map = WCS(self.map[0],naxis=[1,2]).deepcopy()
# self.map[0].data = self.map[0].data[0,0]
# elif self.wcs_map.naxis == 3:
# self.wcs_map = WCS(self.map[0],naxis=[1,2]).deepcopy()
# self.map[0].data = self.map[0].data[1]
if len(self.map[0].data.shape) == 4:
self.map[0].data = self.map[0].data[0,0]
elif len(self.map[0].data.shape) == 3:
self.map[0].data = self.map[0].data[1]
self.wcs_other = deepcopy(WCS(self.other_map[0])).celestial
# if self.wcs_other.naxis == 4:
# self.wcs_other = WCS(self.other_map[0],naxis=[1,2]).deepcopy()
# self.other_map[0].data = self.other_map[0].data[0,0]
# elif self.wcs_other.naxis == 3:
# self.wcs_other = WCS(self.other_map[0],naxis=[1,2]).deepcopy()
# self.other_map[0].data = self.other_map[0].data[1]
if len(self.other_map[0].data.shape) == 4:
self.other_map[0].data = self.other_map[0].data[0,0]
elif len(self.other_map[0].data.shape) == 3:
self.other_map[0].data = self.other_map[0].data[1]
try:
convert_flux = self.map[0].header['photflam']
@@ -1837,7 +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)))
PA_cut = princ_angle(np.degrees((1./2.)*np.arctan2(U_cut,Q_cut))+180.)
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:
@@ -1862,7 +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))
PA_reg = princ_angle((90./np.pi)*np.arctan2(U_reg,Q_reg)+180.)
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)
@@ -1879,7 +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))
PA_cut = princ_angle((90./np.pi)*np.arctan2(U_cut,Q_cut)+180.)
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'):

6
src/lib/reduction.py
View File

@@ -1310,7 +1310,7 @@ def compute_Stokes(data_array, error_array, data_mask, headers,
P_diluted = np.sqrt(Q_diluted**2+U_diluted**2)/I_diluted
P_diluted_err = (1./I_diluted)*np.sqrt((Q_diluted**2*Q_diluted_err**2 + U_diluted**2*U_diluted_err**2 + 2.*Q_diluted*U_diluted*QU_diluted_err)/(Q_diluted**2 + U_diluted**2) + ((Q_diluted/I_diluted)**2 + (U_diluted/I_diluted)**2)*I_diluted_err**2 - 2.*(Q_diluted/I_diluted)*IQ_diluted_err - 2.*(U_diluted/I_diluted)*IU_diluted_err)
PA_diluted = princ_angle((90./np.pi)*np.arctan2(U_diluted,Q_diluted))
PA_diluted = princ_angle((90./np.pi)*np.arctan2(U_diluted,Q_diluted)+180.)
PA_diluted_err = (90./(np.pi*(Q_diluted**2 + U_diluted**2)))*np.sqrt(U_diluted**2*Q_diluted_err**2 + Q_diluted**2*U_diluted_err**2 - 2.*Q_diluted*U_diluted*QU_diluted_err)
for header in headers:
@@ -1370,7 +1370,7 @@ def compute_pol(I_stokes, Q_stokes, U_stokes, Stokes_cov, headers):
P = np.zeros(I_stokes.shape)
P[mask] = I_pol[mask]/I_stokes[mask]
PA = np.zeros(I_stokes.shape)
PA[mask] = princ_angle((90./np.pi)*np.arctan2(U_stokes[mask],Q_stokes[mask]))
PA[mask] = princ_angle((90./np.pi)*np.arctan2(U_stokes[mask],Q_stokes[mask])+180.)
if (P>1).any():
print("WARNING : found {0:d} pixels for which P > 1".format(P[P>1.].size))
@@ -1569,7 +1569,7 @@ def rotate_Stokes(I_stokes, Q_stokes, U_stokes, Stokes_cov, data_mask, headers,
P_diluted = np.sqrt(Q_diluted**2+U_diluted**2)/I_diluted
P_diluted_err = (1./I_diluted)*np.sqrt((Q_diluted**2*Q_diluted_err**2 + U_diluted**2*U_diluted_err**2 + 2.*Q_diluted*U_diluted*QU_diluted_err)/(Q_diluted**2 + U_diluted**2) + ((Q_diluted/I_diluted)**2 + (U_diluted/I_diluted)**2)*I_diluted_err**2 - 2.*(Q_diluted/I_diluted)*IQ_diluted_err - 2.*(U_diluted/I_diluted)*IU_diluted_err)
PA_diluted = princ_angle((90./np.pi)*np.arctan2(U_diluted,Q_diluted))
PA_diluted = princ_angle((90./np.pi)*np.arctan2(U_diluted,Q_diluted)+180.)
PA_diluted_err = (90./(np.pi*(Q_diluted**2 + U_diluted**2)))*np.sqrt(U_diluted**2*Q_diluted_err**2 + Q_diluted**2*U_diluted_err**2 - 2.*Q_diluted*U_diluted*QU_diluted_err)
for header in new_headers: