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Skip missing sources in CAFOS polarimetry groups #153

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Nov 6, 2024
Merged

Skip missing sources in CAFOS polarimetry groups #153

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19 changes: 15 additions & 4 deletions iop4lib/instruments/cafos.py
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Original file line number Diff line number Diff line change
Expand Up @@ -289,6 +289,10 @@ def compute_relative_polarimetry(cls, polarimetry_group):

qs = AperPhotResult.objects.filter(reducedfit__in=polarimetry_group, astrosource=astrosource, aperpix=aperpix, flux_counts__isnull=False)

if not qs.exists():
logger.error(f"No aperture photometry results found for {astrosource}, skipping.")
continue

equivs = ((('O',0.0), ('E',44.98)),
(('O',22.48), ('E',67.48)),
(('O',44.98), ('E',0.0)),
Expand All @@ -299,16 +303,20 @@ def compute_relative_polarimetry(cls, polarimetry_group):
(('E',67.48), ('O',22.48)))

flux_D = dict()
_skip = False
for equiv in equivs:
if qs.filter(pairs=equiv[0][0], reducedfit__rotangle=equiv[0][1]).exists():
flux_D[(equiv[0][0], equiv[0][1])] = qs.filter(pairs=equiv[0][0], reducedfit__rotangle=equiv[0][1]).values_list("flux_counts", "flux_counts_err").last()
elif qs.filter(pairs=equiv[1][0], reducedfit__rotangle=equiv[1][1]).exists():
logger.warning(f"Missing flux for {astrosource} {equiv[0][0]} {equiv[0][1]}, using {equiv[1][0]} {equiv[1][1]}")
flux_D[(equiv[0][0], equiv[0][1])] = qs.filter(pairs=equiv[1][0], reducedfit__rotangle=equiv[1][1]).values_list("flux_counts", "flux_counts_err").last()
else:
logger.error(f"Missing flux for {astrosource} {equiv[0][0]} {equiv[0][1]} and {equiv[1][0]} {equiv[1][1]}")
return

logger.error(f"Missing flux for {astrosource} {equiv[0][0]} {equiv[0][1]} and {equiv[1][0]} {equiv[1][1]}, skipping this source.")
_skip = True
break
if _skip:
continue

flux_O_0, flux_O_0_err = flux_D[('O',0.0)]
flux_O_22, flux_O_22_err = flux_D[('O',22.48)]
flux_O_45, flux_O_45_err = flux_D[('O',44.98)]
Expand Down Expand Up @@ -396,7 +404,10 @@ def compute_relative_polarimetry(cls, polarimetry_group):

photopolresult_L.append(result)


if not photopolresult_L:
logger.error("No results could be computed for this group.")
return

# 3. Get average zero point from zp of all calibrators in the group

calib_mag_zp_array = np.array([result.mag_zp or np.nan for result in photopolresult_L if result.astrosource.is_calibrator]) # else it fills with None also and the dtype becomes object
Expand Down
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