Well, there's one one very good reason to scale XDS data with scala:

 scala prints out per-image statistics, which are fantastically useful.

 My particular favourite:  the scaling B-factor, which is as direct a
 read-out of dose (i.e. decay) as we have:
     1A^2 per MGy.
 (Lots and lots of caveats attached, especially concerning beam size vs
 crystal size.  Don't flame me, cite relevant literature (esp.
 Bourenkov&  Popov) or web resources instead.)

 XScale uses an entirely different scaling model, as Graeme Winter
 patiently explained to me recently.  Yes, it has Rd for checking
 decay, but that doesn't work so good at low multiplicity (i.e. most
 monoclinic datasets), and more pertinently, there's no handy link
 between that and dose (that I'm aware of, happy to be disabused).

 phx.





 On 24/04/2010 18:31, Ingo Korndoerfer wrote:
 as it turns out:

 the bad news (for me)

 1. something went wrong in my data processing. point taken. yes. i
 was so hypnotized by the strange error message, that i did not
 realize this.

 the good news

 2. pointless and scala run just fine (everybody can relax), and the
 strange messages are more an esthetic problem, that phil evans said
 he will fix in the next pointless release. had i looked at the
 pointless output i would have seen, of course, that my data are
 complete nonsense. embarassing ...

 thanks to phil for taking time to look over this, and thanks to the
 others who also replied and asked why i even scale xds data with
 scala rather than xscale. there are reasons for this, but the
 interesting news for me was, that it might be that xscale possibly
 delivers better data from xds than scala does, which, of course, now,
 i will have to look into ...

 time will tell ...

 greetings

 ingo






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