Difference between revisions of "Resolving an Indexing Ambiguity"
(Created page with "Here we describe how to use the [http://dx.doi.org/10.1107/S1399004713025431 Brehm & Diederichs algorithm] to resolve the indexing ambiguity for XFEL data. This is applicable...") |
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− | Here we describe | + | Here we describe the use of [http://dx.doi.org/10.1107/S1399004713025431 Brehm & Diederichs algorithm 2] to resolve the indexing ambiguity for XFEL data. This is applicable for all polar space groups (where the Bravais symmetry is higher than the space group symmetry) and also for cases with pseudo symmetry (e.g., a monoclinic cell with a near 90-degree beta angle). |
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+ | == Brief Description of the Workflow == | ||
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+ | It is assumed that the reader is familiar with the tutorial for [[Merging]]. The usual workflow of <code>cxi.merge</code> followed by <code>cxi.xmerge</code> will fail in the xmerge step if there are reindexing operators (not H,K,L) that relate the individual indexed lattices to one another. We resolve this by (1) running the <code>cxi.merge</code> step to generate a database with all the observations; (2) use Brehm-Diederichs algorithm 2 to identify the reindexing operators with <code>cxi.brehm_diederichs</code>; (3) re-run the <code>cxi.merge + cxi.xmerge</code> process with the additional list of reindexing operators as input. | ||
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+ | == Detailed Step-By-Step Instructions == |
Revision as of 23:08, 28 December 2013
Here we describe the use of Brehm & Diederichs algorithm 2 to resolve the indexing ambiguity for XFEL data. This is applicable for all polar space groups (where the Bravais symmetry is higher than the space group symmetry) and also for cases with pseudo symmetry (e.g., a monoclinic cell with a near 90-degree beta angle).
Brief Description of the Workflow
It is assumed that the reader is familiar with the tutorial for Merging. The usual workflow of cxi.merge
followed by cxi.xmerge
will fail in the xmerge step if there are reindexing operators (not H,K,L) that relate the individual indexed lattices to one another. We resolve this by (1) running the cxi.merge
step to generate a database with all the observations; (2) use Brehm-Diederichs algorithm 2 to identify the reindexing operators with cxi.brehm_diederichs
; (3) re-run the cxi.merge + cxi.xmerge
process with the additional list of reindexing operators as input.