Thanks!
I am interesting in that at what completeness of the dataset, will one
use the missing fobs filled map for model building confidently without
too much bias included?
Fengyun
引用 Pavel Afonine
Hi Fengyun,
I have two datasets, one of which the completeness is only about 81%, the other one is even lower, about 45%.
The resulting "missing fobs filled map" is much better than the unfilled map in the loop region. I read one file of Pavel on the fact of maps, the concern of using missing fobs filled map is that the risk of the mdoel bias.
My question is that could the missing fobs filled map be used for the model building?
a "missing fobs filled map" is always computed using 100% set of reflections. For example, if your original dataset is 81% complete, that means the "missing fobs filled map" is computed using existing 81% of data plus 19% of reflections to fill the gap. These 19% are DFc. In extreme case of 0% or close to 0% data completeness this because just Fcalc map.
Therefore it's clear that "missing fobs filled map" map should be used with care, and it is a good idea to look at both maps (one computed using original data, and another one using the data where missing reflections filled in with DFc).
"filled" maps can produce a clearer picture and may disambiguate hard-to-interpret density, while may be biased. Regular maps may be of poorer quality (due to data incompleteness), but are not model biased due to "filling" (although may be model biased caused by other reasons than "filling").
Given data completeness you have I wouldn't use "filled" maps.
I'm wondering what Refmac does in this case (as far as I know it always outputs "filled" map)?
Pavel.
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