phenix.reflection_statistics
Comparisions between multiple datasets are available via the phenix.reflection_statistics command:
Usage: phenix.reflection_statistics [options] reflection_file [...] Options: -h, --help show this help message and exit --unit-cell=10,10,20,90,90,120|FILENAME External unit cell parameters --space-group=P212121|FILENAME External space group symbol --symmetry=FILENAME External file with symmetry information --weak-symmetry symmetry on command line is weaker than symmetry found in files --quick Do not compute statistics between pairs of data arrays --resolution=FLOAT High resolution limit (minimum d-spacing, d_min) --low-resolution=FLOAT Low resolution limit (maximum d-spacing, d_max) --bins=INT Number of bins --bins-twinning-test=INT Number of bins for twinning test --bins-second-moments=INT Number of bins for second moments of intensities --lattice-symmetry-max-delta=LATTICE_SYMMETRY_MAX_DELTA angular tolerance in degrees used in the determination of the lattice symmetry Example: phenix.reflection_statistics data1.mtz data2.sca
This utility reads one or more reflection files (many common formats incl. MTZ, Scalepack, CNS, SHELX). For each of the datasets found in the reflection files the output shows a block like the following:
Miller array info: gere_MAD.mtz:FSEinfl,SIGFSEinfl,DSEinfl,SIGDSEinfl Observation type: xray.reconstructed_amplitude Type of data: double, size=20994 Type of sigmas: double, size=20994 Number of Miller indices: 20994 Anomalous flag: 1 Unit cell: (108.742, 61.679, 71.652, 90, 97.151, 90) Space group: C 1 2 1 (No. 5) Systematic absences: 0 Centric reflections: 0 Resolution range: 24.7492 2.74876 Completeness in resolution range: 0.873513 Completeness with d_max=infinity: 0.872315 Bijvoet pairs: 10497 Lone Bijvoet mates: 0 Anomalous signal: 0.1065
This is followed by a listing of the completeness and the anomalous signal in resolution bins. The number of bins and the resolution range may be adjusted with the options shown above.
Unless the --quick option is specified the output will also show the correlations between the datasets and, if applicable, between the anomalous differences, both as overall values and in bins. The correlation between anomalous differences is often a very powerful indicator for the resolution up to which the anomalous signal is useful for substructure determination.
See also: phenix.xtriage