Hi Ingo, Scala might be beneficial after xds when several datasets need to be scaled together. Scala will refine cell parameters to fit best all the datasets together where as xscale uses as cell parameters those of the first dataset. If you use xscale you have to be prudent in your choice of the first dataset.
Peter. On Sat, Apr 24, 2010 at 7:31 PM, Ingo Korndoerfer <[email protected]>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 > > -- Peter
