I still don't see how you get a negative intensity from that.  It seems you are 
saying that in many cases of a low intensity reflection, the integrated spot 
will be lower than the background.  That is not equivalent to having a negative 
measurement (as the measurement is actually positive, and sometimes things are 
randomly less positive than backgroiund).  If you are using a proper 
statistical model, after background correction you will end up with a positive 
(or 0) value for the integrated intensity.  


On Jun 20, 2013, at 1:08 PM, Andrew Leslie <and...@mrc-lmb.cam.ac.uk> wrote:

> 
> The integration programs report a negative intensity simply because that is 
> the observation. 
> 
> Because of noise in the Xray background, in a large sample of intensity 
> estimates for reflections whose true intensity is very very small one will 
> inevitably get some measurements that are negative. These must not be 
> rejected because this will lead to bias (because some of these intensities 
> for symmetry mates will be estimated too large rather than too small). It is 
> not unusual for the intensity to remain negative even after averaging 
> symmetry mates.
> 
> Andrew
> 
> 
> On 20 Jun 2013, at 11:49, Douglas Theobald <dtheob...@brandeis.edu> wrote:
> 
>> Seems to me that the negative Is should be dealt with early on, in the 
>> integration step.  Why exactly do integration programs report negative Is to 
>> begin with?
>> 
>> 
>> On Jun 20, 2013, at 12:45 PM, Dom Bellini <dom.bell...@diamond.ac.uk> wrote:
>> 
>>> Wouldnt be possible to take advantage of negative Is to 
>>> extrapolate/estimate the decay of scattering background (kind of Wilson 
>>> plot of background scattering) to flat out the background and push all the 
>>> Is to positive values?
>>> 
>>> More of a question rather than a suggestion ...
>>> 
>>> D
>>> 
>>> 
>>> 
>>> From: CCP4 bulletin board [mailto:CCP4BB@JISCMAIL.AC.UK] On Behalf Of Ian 
>>> Tickle
>>> Sent: 20 June 2013 17:34
>>> To: ccp4bb
>>> Subject: Re: [ccp4bb] ctruncate bug?
>>> 
>>> Yes higher R factors is the usual reason people don't like I-based 
>>> refinement!
>>> 
>>> Anyway, refining against Is doesn't solve the problem, it only postpones 
>>> it: you still need the Fs for maps! (though errors in Fs may be less 
>>> critical then).
>>> -- Ian
>>> 
>>> On 20 June 2013 17:20, Dale Tronrud 
>>> <det...@uoxray.uoregon.edu<mailto:det...@uoxray.uoregon.edu>> wrote:
>>> If you are refining against F's you have to find some way to avoid
>>> calculating the square root of a negative number.  That is why people
>>> have historically rejected negative I's and why Truncate and cTruncate
>>> were invented.
>>> 
>>> When refining against I, the calculation of (Iobs - Icalc)^2 couldn't
>>> care less if Iobs happens to be negative.
>>> 
>>> As for why people still refine against F...  When I was distributing
>>> a refinement package it could refine against I but no one wanted to do
>>> that.  The "R values" ended up higher, but they were looking at R
>>> values calculated from F's.  Of course the F based R values are lower
>>> when you refine against F's, that means nothing.
>>> 
>>> If we could get the PDB to report both the F and I based R values
>>> for all models maybe we could get a start toward moving to intensity
>>> refinement.
>>> 
>>> Dale Tronrud
>>> 
>>> 
>>> On 06/20/2013 09:06 AM, Douglas Theobald wrote:
>>> Just trying to understand the basic issues here.  How could refining 
>>> directly against intensities solve the fundamental problem of negative 
>>> intensity values?
>>> 
>>> 
>>> On Jun 20, 2013, at 11:34 AM, Bernhard Rupp 
>>> <hofkristall...@gmail.com<mailto:hofkristall...@gmail.com>> wrote:
>>> As a maybe better alternative, we should (once again) consider to refine 
>>> against intensities (and I guess George Sheldrick would agree here).
>>> 
>>> I have a simple question - what exactly, short of some sort of historic 
>>> inertia (or memory lapse), is the reason NOT to refine against intensities?
>>> 
>>> Best, BR
>>> 
>>> 
>>> 
>>> 
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