Tibeuleu/FOC_Reduction
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rollback CenterConf to simple CDF of chi2 for 2 dof

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Thibault Barnouin
2025-03-14 14:20:38 +01:00
parent 1a765af73b
commit 8da199880b
1 changed files with 5 additions and 5 deletions
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10
package/lib/utils.py
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@@ -91,6 +91,7 @@ def CenterConf(mask, PA, sPA):
chi2 = np.full(PA.shape, np.nan, dtype=np.float64)
conf = np.full(PA.shape, -1.0, dtype=np.float64)
yy, xx = np.indices(PA.shape)
Nobs = np.sum(mask)
def ideal(c):
itheta = np.full(PA.shape, np.nan)
@@ -99,19 +100,18 @@ def CenterConf(mask, PA, sPA):
return princ_angle(itheta)
def chisq(c):
return np.sum((princ_angle(PA[mask]) - ideal((c[0], c[1]))[mask]) ** 2 / sPA[mask] ** 2) / np.sum(mask)
return np.sum((princ_angle(PA[mask]) - ideal((c[0], c[1]))[mask]) ** 2 / sPA[mask] ** 2) / (Nobs - 2)
for x, y in zip(xx[np.isfinite(PA)], yy[np.isfinite(PA)]):
chi2[y, x] = chisq((x, y))
from scipy.optimize import minimize
from scipy.special import gammaincc
conf[np.isfinite(PA)] = gammaincc(0.5, 0.5 * chi2[np.isfinite(PA)])
conf[np.isfinite(PA)] = 0.5 * np.exp(-0.5 * chi2[np.isfinite(PA)])
c0 = np.unravel_index(np.argmax(conf), conf.shape)[::-1]
result = minimize(chisq, c0, bounds=[(0, PA.shape[1]), (0.0, PA.shape[0])], method="TNC")
result = minimize(chisq, c0, bounds=[(0, PA.shape[1]), (0.0, PA.shape[0])], method="trust-constr")
if result.success:
print("Center of emission found")
print("Center of emission found: reduced chi_squared {0:.2f}/{1:d}={2:.2f}".format(chisq(result.x) * (Nobs - 2), Nobs - 2, chisq(result.x)))
else:
print("Center of emission not found", result)
return conf, result.x