Thank you,
Pavel.
I am not clear about "model_based_outliers"; I searched phenix.refine
documentation
but did not find anything. Is it based on my structure model?
I will look at the paper you suggested.
By the way, "main.outliers_rejection=False" can
also keep those model_based_outliers?
of outliers:
outliers_rejection= True Remove basic wilson outliers , extreme
wilson
outliers , and beamstop shadow outliers
Thanks
Rongjin
= = = = = = =
= On 2010-12-08 15:28:59 You
wrote = = = = = = = =
Rongjin,
outliers
detection and rejection was inspired by this paper R.Read, Acta
Cryst. (1999). D55, 1759-1764.
and the paper by R.Agarwal's
(197?/198?) mentions this too.
You can always turn this off using
"main.outliers_rejection=False" if you
believe it's necessary.
It's probably the quality of your data
that causes the amount of outliers you
quote.
Pavel.
PS> FYI: I got your email sent off-list
and I always get the emails sent to phenixbb, so there is no need to
duplicate them.
On 12/8/10 11:45 AM, [email protected] wrote:
Hi All
I have a question regarding reflection outliers detection in phenix.refine:
in my input reflection file, there are 24432 reflections, but only 22769 of them
were used in refinement. I checked the log file and saw 1663 outliers.
(below if from the log)
basic_wilson_outliers = 14
extreme_wilson_outliers = 18
beamstop_shadow_outliers = 0
model_based_outliers = 1657
total = 1663
What is the "model_based_outliers"? What causes so many reflections rejected
and not used in the refinement?
Thanks
Rongjin
_______________________________________________
phenixbb mailing list
[email protected]
http://phenix-online.org/mailman/listinfo/phenixbb
|