Hi Eleanor Individually, the weights of weak data might be relatively small but cumulatively the effect could be significant, especially if the proportion of weak data is large, which is often the case with anisotropic data. A large proportion of weak data in refinement probably won't help and it might well hinder: this is the reason for having an anisotropic cut-off.
Cheers -- Ian On Mon, 3 Oct 2022 at 12:18, Eleanor Dodson < [email protected]> wrote: > > There have been several discussions lately where anisotropy has been an > issue. > I have always believed weak unreliable data does little harm to refinement > or maps because it is given a very low weight in any calculation. > Weighting, in REFMAC anyway. is set partly using the Rfree for that > resolution shell. > However if the data is anisotropic would be better if those weights were > based on shells constructed taking the anisotropy into consideration? > > Or does it matter, and how could it be tested! > > Eleanor > > ------------------------------ > > To unsubscribe from the CCP4BB list, click the following link: > https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1 > ######################################################################## To unsubscribe from the CCP4BB list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1 This message was issued to members of www.jiscmail.ac.uk/CCP4BB, a mailing list hosted by www.jiscmail.ac.uk, terms & conditions are available at https://www.jiscmail.ac.uk/policyandsecurity/
