Difficult datasets: Difference between revisions

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These datasets have few (or few strong, or few well-defined) reflections per frame. Therefore, the multitude of parameters describing the diffraction experiment needs to be reduced (in refinement one would say: to avoid overfitting). This means that some parameters may need adjustment.
These datasets have few (or few strong, or few well-defined) reflections per frame. Therefore, the multitude of parameters describing the diffraction experiment needs to be reduced (in refinement one would say: to avoid overfitting). This means that some parameters may need adjustment.
== optimizing the parameters for COLSPOT ==
play with the following [http://xds.mpimf-heidelberg.mpg.de/html_doc/xds_parameters.html parameters], and use GNUPLOT (see below) to find their influence:
STRONG_PIXEL=
MINIMUM_NUMBER_OF_PIXELS_IN_A_SPOT=
It should be noted that it is important to correctly mask any shadowed areas on the detector; if not done properly, the variation at the edges will lead to spurious "spots" being picked up by COLSPOT.


== optimizing the parameters for IDXREF ==
== optimizing the parameters for IDXREF ==


Don't refine the DISTANCE in REFINE(IDXREF) !
Don't refine the DISTANCE in REFINE(IDXREF) !
IDXREF depends on the reflection positions stored in SPOT.XDS . This file is written by COLSPOT, and its contents can be visualized e.g. with GNUPLOT:
plot "SPOT.XDS" using 1:2
Obviously, only if the true reflection pattern is represented well by SPOT.XDS can IDXREF be successful.
For close reflections, you may want to reduce SEPMIN below its default of 6, and set CLUSTER_RADIUS to half of the new value.


== optimizing the parameters for INTEGRATE ==
== optimizing the parameters for INTEGRATE ==
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