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Improve performance of iterative sigma clipped rms #259

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Merged
darafferty merged 1 commit into from
Jul 23, 2025
Merged

Improve performance of iterative sigma clipped rms #259

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13 changes: 8 additions & 5 deletions bdsf/functions.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2135,6 +2135,7 @@ def bstat(indata, mask, kappa_npixbeam):
unmasked = numpy.where(~msk_flat)
skpix = skpix[unmasked]

skpix.sort()
ct = skpix.size
iter = 0
c1 = 1.0
Expand All @@ -2154,19 +2155,21 @@ def bstat(indata, mask, kappa_npixbeam):
if kappa < 3.0:
kappa = 3.0
lastct = ct
medval = numpy.median(skpix)
medval = skpix[npix//2]
sig = numpy.std(skpix)
wsm = numpy.where(abs(skpix-medval) < kappa*sig)
ct = len(wsm[0])

wsm1, wsm2 = numpy.searchsorted(skpix, [medval - kappa*sig,
medval + kappa*sig])
ct = wsm2 - wsm1
if ct > 0:
skpix = skpix[wsm]
skpix = skpix[wsm1:wsm2]

c1 = abs(ct - lastct)
c2 = converge_num * lastct
iter += 1

mean = numpy.mean(skpix)
median = numpy.median(skpix)
median = skpix[skpix.size//2]
sigma = numpy.std(skpix, ddof=1)
mode = 2.5*median - 1.5*mean
if sigma > 0.0:
Expand Down