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Perhaps this could be added as a columnfile method, something like columnfile.detectormask( mask, growth_cycles=3 )?
For new data, we could look at the pixel intensity which is adjacent to a masked pixel. This means counting up the integrated intensity twice. Places to look at would include:
For old data, take a detector mask, grow it and cast to boolean, and just do:
cf.filter( mask[ cf.s_raw.astype(int), cf.f_raw.astype(int) ] )
Perhaps this could be added as a columnfile method, something like
columnfile.detectormask( mask, growth_cycles=3 )
?For new data, we could look at the pixel intensity which is adjacent to a masked pixel. This means counting up the integrated intensity twice. Places to look at would include:
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