var weight squared

pypeit/core/datacube.py

@@ -1822,7 +1822,7 @@ def subpixellate(output_wcs, bins, sciImg, ivarImg, waveImg, slitid_img_gpm, wgh
             vox_coord = vox_coord.reshape(numpix * num_all_subpixels, 3)
             # Use the "fast histogram" algorithm, that assumes regular bin spacing
             flxcube += histogramdd(vox_coord, bins=outshape, range=binrng, weights=np.repeat(this_sci[this_sl] * this_wght_subpix[this_sl], num_all_subpixels) * subpix_wght)
-            varcube += histogramdd(vox_coord, bins=outshape, range=binrng, weights=np.repeat(this_var[this_sl] * this_wght_subpix[this_sl]**2, num_all_subpixels) * subpix_wght**3)
+            varcube += histogramdd(vox_coord, bins=outshape, range=binrng, weights=np.repeat(this_var[this_sl] * this_wght_subpix[this_sl]**2, num_all_subpixels) * subpix_wght**2)  # NOTE :: This was changed from subpix_wght**3 to subpix_wght**2 by RJC on 2024-12-18
             normcube += histogramdd(vox_coord, bins=outshape, range=binrng, weights=np.repeat(this_wght_subpix[this_sl], num_all_subpixels) * subpix_wght)
 
     # Normalise the datacube and variance cube