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fitFocusCurve: fix 'scale' computation for robust fitting

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Timur A. Fatkhullin
2024-10-27 10:34:10 +03:00
parent 47659dc918
commit 2a48df15c9
1 changed files with 13 additions and 4 deletions
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17
focus_utils.py
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@@ -121,11 +121,20 @@ def fitFocusCurve(
np.inf, np.inf,
) # parabola with minimum (2nd derivative must be positive) ) # parabola with minimum (2nd derivative must be positive)
if coeffs[2] < 0: if coeffs[2] < 0: # it seems the non-robust fit failed!
coeffs[2] = 0 coeffs[2] = 0 # so, guess curve is just constant!
coeffs[1] = 0
coeffs[0] = np.nanmedian(flux_rad)
scale = np.nanmedian(np.abs(flux_rad - coeffs[0]))
else:
nr_model = nr_res(np.asarray(focus_value))
scale = np.nanmedian(np.abs(flux_rad - nr_model))
# if coeffs[2] < 0:
# coeffs[2] = 0
# nr_model = nr_res(np.asarray(focus_value))
# scale = np.abs(np.nanmedian(flux_rad - nr_model))
nr_model = nr_res(np.asarray(focus_value))
scale = np.abs(np.nanmedian(flux_rad - nr_model))
# robust fitting # robust fitting
res = least_squares( res = least_squares(
polyModelResid, polyModelResid,