Sure thing.

A former student left somewhere between 30-50 datasets but they scaled the
data to the detector corners (or maybe edge) in HKL2000.  There are many of
the high-resolution bins with no reflections in them.  He then went forward
and merged this data, presumably in HKL2000 again and did his model
building/refinement.   We now need to re-refine the models against this
data for publication but we need a more suitable resolution cutoff for
the data.

Rather than go back and index/integrate all the data and then rescale the
data to a more appropriate place (then merge), I was wondering if there was
a way to take the merged reflections as either .sca or .mtz (from
scalepacktomtz output) and then rescale to a more appropriate resolution.
It doesn't seem like the student left unmerged data.

So, nothing fancy (aniostropy etc), there is just a lot of data that needs
to be adjusted and I am trying to avoid reprocessing all the frames again.

Matt

On Wed, 17 Apr 2024 at 15:59, Hekstra, Doeke Romke <
doeke_heks...@harvard.edu> wrote:

> Hi Matt,
>
> It would be helpful if you could describe your case in more detail. Do you
> want to change the resolution cutoff after scaling? Do you want to keep
> more data? Fewer? Or do you mean something different such as truncation to
> generate amplitudes, application of anisotropic resolution cutoffs,  or
> outlier rejection? Are you referring to data that were scaled in HKL2000?
>
> Best, Doeke
>
> -----Original Message-----
> From: CCP4 bulletin board <CCP4BB@JISCMAIL.AC.UK> On Behalf Of Matt McLeod
> Sent: Wednesday, April 17, 2024 3:04 PM
> To: CCP4BB@JISCMAIL.AC.UK
> Subject: [ccp4bb] Rescale merged data?
>
> Hi all,
>
> I am looking at a old students data and it looks like they didn't properly
> cut off the data during scaling.  All of the files I have appear to be the
> merged .sca (or mtz after converting with scalepacktomtz) - is there a way
> to retruncate the data after merging or do I have to reprocess the data?
>
> Thanks,
>
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-- 
*Matthew Jordan McLeod, PhD*
*Post-Doctoral Fellow - Cornell University*

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