Tibeuleu/FOC_Reduction
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Modify mask display for emission center

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Thibault Barnouin
2025-07-25 14:25:45 +02:00
parent 49846d9497
commit d21b5ecaa9
1 changed files with 5 additions and 2 deletions
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7
package/src/emission_center.py
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@@ -21,6 +21,9 @@ def main(infile, P_cut=0.99, target=None, display="pf", output_dir=None):
Stokes = fits_open(infile)
stkI = Stokes["I_STOKES"].data
s_I = np.sqrt(Stokes["IQU_COV_MATRIX"].data[0, 0])
SNRi = np.zeros(stkI.shape)
SNRi[s_I > 0.0] = stkI[s_I > 0.0] / s_I[s_I > 0.0]
QN, UN, QN_ERR, UN_ERR = np.full((4, stkI.shape[0], stkI.shape[1]), np.nan)
for sflux, nflux in zip(
[Stokes["Q_STOKES"].data, Stokes["U_STOKES"].data, np.sqrt(Stokes["IQU_COV_MATRIX"].data[1, 1]), np.sqrt(Stokes["IQU_COV_MATRIX"].data[2, 2])],
@@ -28,11 +31,11 @@ def main(infile, P_cut=0.99, target=None, display="pf", output_dir=None):
):
nflux[stkI > 0.0] = sflux[stkI > 0.0] / stkI[stkI > 0.0]
Stokesconf = PCconf(QN, UN, QN_ERR, UN_ERR)
Stokesmask = Stokes["DATA_MASK"].data.astype(bool)
Stokesmask = np.logical_and(Stokes["DATA_MASK"].data.astype(bool), SNRi > 10.0)
Stokessnr = np.zeros(Stokesmask.shape)
Stokessnr[Stokes["POL_DEG_ERR"].data > 0.0] = (
Stokes["POL_DEG_DEBIASED"].data[Stokes["POL_DEG_ERR"].data > 0.0] / Stokes["POL_DEG_ERR"].data[Stokes["POL_DEG_ERR"].data > 0.0]
)
) * Stokesmask[Stokes["POL_DEG_ERR"].data > 0.0]
if P_cut < 1.0:
Stokescentconf, Stokescenter = CenterConf(Stokesconf > P_cut, Stokes["POL_ANG"].data, Stokes["POL_ANG_ERR"].data)