Upon further consideration, I hereby retract my contention that reductions in 
anomalous signal throughout the course of a diffraction experiment will cause 
systematic negative CCanoms. Perhaps it has to do with the "random" selection 
of measurements for Dano calculations, as suggested by Clemens Vonrheim, or it 
may have to do with scaling. Can't figure it out just yet. I am, of course, 
assuming that the signs are not random.

Jacob


-----Original Message-----
From: Keller, Jacob 
Sent: Thursday, July 16, 2015 9:46 PM
To: Keller, Jacob; CCP4BB@JISCMAIL.AC.UK
Subject: RE: [ccp4bb] Negative CCanom

[Sorry, typography was off a bit in the last one]

Here is the answer, I think, to why twinning leads to negative CCanom:

In fact, in any case in which the anomalous signal changes as a function of 
exposure, CCanom can be negative.

The usual case is radiation damage:

Consider, to start, four independent measurements of one reflection, two I+ and 
two I-. Call them 

A: not damaged, early-measured I+
a: damaged, late-measured I+
B: not damaged, early-measured I-
b: damaged, late-measured I-

CCanom is the correlation coefficient between anomalous differences (Dano's). 
From these four measurements of a given unique reflection, one can calculate 
two Dano's, and thus make one data point for a CC calculation.

The possibilities for correlation pairs are:

A-B and a-b: large value corresponds to a small value, i.e., negative 
correlation

a-b and A-B: small corresponds to large, i.e., negative correlation

A-b and a-B: both same size, so modest positive correlation

a-B and A-b: both same size, so modest positive correlation


Unique reflections as a population, then, will have equal proportions of these 
permutations. If the damage makes Dano go to zero (or indistinguishable from 
noise), then since A-B is double A-b, the first two combinations will outweigh 
the second two, leading to negative CCanom. I guess having a negative CCanom, 
then, is a mixed bag, since it implies that there is anomalous signal, but that 
there is also radiation damage. But the latter can be useful as well, so maybe 
not such a bad omen.

Shifting to my case of twinning, although there was almost certainly negligible 
radiation damage, something else happened: since the twin fraction increased 
throughout the course of the dataset, this decreased the anomalous signal 
similarly to the case above. It could also be, if there was enough change in 
twin fraction, i.e., past the 50% mark, some anomalous differences might even 
flip their signs, making CCanom go really negative.

Another corollary is that sufficient increases of anomalous signal over time 
would also produce negative CCanom, but I can't think of a case besides 
twinning in which that would happen.

I think this explains the phenomenon, and I have to thank Clemens Vonrheim for 
explaining the calculation to me. But don't blame him if I've got it wrong.

There is probably a good way to alter this feature of CCanom, perhaps by 
biasing the selection of measurements to encourage the latter two cases above. 
Or just continue using it, but in many cases there could be 0 CCanom when the 
damage and signal are counterbalanced.

JPK

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