Fixed incorrect error propagation in rebin_data #953
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…ed by Lightcurve.rebin(). Changed docstring to use non-trivial example (where error != 1). Added test and changelog file.
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Relevant Issue(s)/PR(s)
Fixes a bug in rebin_data where input standard errors are combined linearly and square-rooted, treating them like variances rather than standard errors. Rebinned errors were affected by a factor of$1/\sqrt(\sigma)$
Provide an overview of the implemented solution or the fix and elaborate on the modifications.
Squared input standard errors before summing and propagating.$\sigma \neq 1$ ). With the trivial example, the error cannot be detected as $\sigma = \sigma^{2} = 1$
Added new test in
test_utils.pyChanged docstring example to nontrivial example (where