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DM-45990: Create initial_pvi background metric #1114

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DM-45990: Create initial_pvi background metric #1114

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19bfaf1
Binned vs full background stats (test)
enourbakhsh Apr 23, 2025
1c48f5d
Test maxMinDiff
enourbakhsh Apr 24, 2025
f95ef58
Visualize background images
enourbakhsh Apr 25, 2025
2e72753
Introduce a new summary value for normalized sky background range
enourbakhsh May 5, 2025
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18 changes: 15 additions & 3 deletions python/lsst/pipe/tasks/computeExposureSummaryStats.py
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Original file line number Diff line number Diff line change
Expand Up @@ -535,11 +535,23 @@ def update_background_stats(self, summary, background):
as well.
"""
if background is not None:
bgStats = (bg[0].getStatsImage().getImage().array
for bg in background)
summary.skyBg = float(sum(np.median(bg[np.isfinite(bg)]) for bg in bgStats))
bgStats = []
for bg in background:
statsImageF = bg[0].getStatsImage().getImage()
bgArray = statsImageF.array
bgArray[~np.isfinite(bgArray)] = np.nan
bgStats.append(bgArray)
summary.skyBg = float(sum(np.nanmedian(bg) for bg in bgStats))
skyBgSumImage = np.sum(np.array(bgStats), axis=0)
try:
summary.skyBgNormRange = float(
(np.nanmax(skyBgSumImage) - np.nanmin(skyBgSumImage)) / np.nanmedian(skyBgSumImage)
)
except ZeroDivisionError:
summary.skyBgNormRange = float("nan")
else:
summary.skyBg = float("nan")
summary.skyBgNormRange = float("nan")

def update_masked_image_stats(self, summary, masked_image):
"""Compute summary-statistic fields that depend on the masked image
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