[cctbxbb] bin_centers() and d_star_sq
James Stroud
xtald00d at gmail.com
Tue Apr 9 11:29:20 PDT 2013
I mean "d_star_power" instead of "d_star_sq".
James
On Apr 9, 2013, at 12:09 PM, James Stroud wrote:
> Hello All,
>
> I'm genuinely perplexed about what factors should go into choosing an appropriate d_star_sq to calculate bin_centers() in cctbx.miller.binner. This decision may be a nuance because it doesn't seem change the output significantly (except for low resolution bins). But if it doesn't matter significantly, then why have the parameter in the first place?
>
> James
>
>
> py> binner = miller.setup_binner(n_bins=10)
> py> binner.show_summary()
> unused: - 81.7405 [ 0/0 ]
> bin 1: 81.7405 - 6.1396 [2341/2341]
> bin 2: 6.1396 - 4.8734 [2213/2213]
> bin 3: 4.8734 - 4.2574 [2185/2185]
> bin 4: 4.2574 - 3.8681 [2168/2168]
> bin 5: 3.8681 - 3.5909 [2177/2177]
> bin 6: 3.5909 - 3.3792 [2156/2156]
> bin 7: 3.3792 - 3.2099 [2137/2137]
> bin 8: 3.2099 - 3.0702 [2144/2144]
> bin 9: 3.0702 - 2.9520 [2133/2133]
> bin 10: 2.9520 - 2.8501 [2135/2135]
> unused: 2.8501 - [ 0/0 ]
> py> centers = binner.bin_centers(1)
> py> list(1 / centers)
> [11.421375552155686,
> 5.4336997182888345,
> 4.544594791289144,
> 4.053431451445772,
> 3.7243527058119903,
> 3.481806175995981,
> 3.292371389128289,
> 3.138504394416836,
> 3.0099330507138475,
> 2.9001646196929975]
> py> centers = binner.bin_centers(4)
> py> list(1 / centers**(1 / 4))
> [7.301226942489155,
> 5.330776416864701,
> 4.514065417212759,
> 4.039592121777967,
> 3.716672320747147,
> 3.4770032890247498,
> 3.28912114749567,
> 3.13617782414047,
> 3.0081962210988116,
> 2.8988250671976883]
>
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