Dear All,I scaled a dataset of SG P2221 in HKL2000 and got systematic absence results as below, it seems clearly HKL2000 showed the data had systematic absence violations, but when I used the .sca file from HKL2000 as input in Xtriage, the result did not show any systematic violations. Which result should I rely on?HKL200 Results:Summary of reflections intensities and R-factors by shellsR linear = SUM ( ABS(I - <I>)) / SUM (I)R square = SUM ( (I - <I>) ** 2) / SUM (I ** 2)Chi**2 = SUM ( (I - <I>) ** 2) / (Error ** 2 * N / (N-1) ) )In all sums single measurements are excludedShell Lower Upper Average Average Norm. Linear Squarelimit Angstrom I error stat. Chi**2 R-fac R-fac Rmeas Rpim CC1/2 CC*50.00 5.60 2819.0 103.7 44.8 0.607 0.033 0.040 0.037 0.017 0.998 0.9995.60 4.45 1801.5 63.8 28.1 0.914 0.043 0.050 0.048 0.022 0.997 0.9994.45 3.88 1435.3 52.6 25.5 0.980 0.048 0.051 0.054 0.024 0.997 0.9993.88 3.53 738.7 31.8 20.5 1.117 0.068 0.067 0.075 0.032 0.996 0.9993.53 3.28 489.7 26.5 20.1 1.134 0.092 0.080 0.102 0.043 0.996 0.9993.28 3.08 236.3 19.8 17.4 0.975 0.147 0.108 0.162 0.069 0.993 0.9983.08 2.93 93.4 16.4 16.0 0.850 0.296 0.277 0.327 0.138 0.947 0.9862.93 2.80 62.9 16.3 16.0 0.737 0.422 0.384 0.467 0.197 0.921 0.9792.80 2.69 42.6 16.7 16.5 0.677 0.622 0.515 0.688 0.291 0.879 0.9672.69 2.60 29.3 20.0 19.9 0.680 0.924 0.842 0.000 0.440 0.659 0.891All reflections 798.1 37.4 22.6 0.873 0.064 0.050 0.068 0.031Intensities of systematic absencesh k l Intensity Sigma I/Sigma0 0 3 -0.4 1.3 -0.30 0 5 10.4 3.0 3.50 0 7 11.4 3.9 2.90 0 9 8.7 4.3 2.00 0 11 18.6 6.4 2.90 0 13 182.9 17.1 10.70 0 15 3.0 7.8 0.40 0 17 11.9 9.2 1.30 0 19 30.0 14.3 2.10 0 21 7.4 11.1 0.70 0 23 54.2 15.6 3.50 0 25 43.1 16.1 2.70 0 27 12.5 18.9 0.70 0 29 -16.6 20.9 -0.80 0 31 31.0 25.4 1.20 0 33 3.4 29.2 0.10 0 35 -24.2 32.0 -0.80 0 37 50.9 42.5 1.20 0 39 -53.3 66.4 -0.80 0 41 65.8 50.6 1.30 0 43 -24.3 46.8 -0.50 0 45 -6.1 48.3 -0.10 0 47 -14.8 45.8 -0.30 0 49 1.1 53.5 0.00 0 51 -7.9 64.2 -0.1Phenix Xtriage Results:----------Space group identification----------Analyses of the absences table indicates a number of likely space groupcandidates, which are listed below. For each space group, the number ofsystematic absence violations are listed under the '+++' column. The number ofnon-absence violations (weak reflections) are listed under '---'. The lastcolumn is a likelihood based score for the particular space group. Note thatenantiomorphic spacegroups will have equal scores. Also, if absences wereremoved while processing the data, they will be regarded as missinginformation, rather then as enforcing that absence in the space group choices.-------------------------------------------------------------------------------------| space group | # absent | <Z>_absent | <Z/sigZ>_absent | +++ | --- | score |-------------------------------------------------------------------------------------| P 2 2 2 | 0 | 0.00 | 0.00 | 0 | 4 | 0.000e+00 || P 2 2 21 | 0 | 0.00 | 0.00 | 0 | 4 | 0.000e+00 || P 2 21 2 | 5 | 3.07 | 16.77 | 5 | 4 | 1.038e+01 || P 2 21 21 | 5 | 3.07 | 16.77 | 5 | 4 | 1.038e+01 || P 21 2 2 | 5 | 1.89 | 15.21 | 5 | 4 | 1.250e+01 || P 21 2 21 | 5 | 1.89 | 15.21 | 5 | 4 | 1.250e+01 || P 21 21 2 | 10 | 2.48 | 15.99 | 10 | 4 | 2.288e+01 || P 21 21 21 | 10 | 2.48 | 15.99 | 10 | 4 | 2.288e+01 |-----------------------------------------------------------------------------------------------List of individual systematic absences----------Note: this analysis uses the original input data rather than the filtered dataused for twinning detection; therefore, the results shown here may includemore reflections than shown above.P 2 2 2: no systematic absences possibleP 2 2 21 (input space group): no absences foundP 21 2 2( 5, 0, 0): i/sigi = 21.0( 7, 0, 0): i/sigi = 4.8( 9, 0, 0): i/sigi = 14.3( 11, 0, 0): i/sigi = 15.2( 13, 0, 0): i/sigi = 18.3( 15, 0, 0): i/sigi = 12.7( 17, 0, 0): i/sigi = 4.1P 2 21 2( 0, 3, 0): i/sigi = 21.3( 0, 5, 0): i/sigi = 21.4( 0, 7, 0): i/sigi = 20.7( 0, 9, 0): i/sigi = 21.4( 0, 11, 0): i/sigi = 20.7( 0, 13, 0): i/sigi = 14.5( 0, 17, 0): i/sigi = 10.4( 0, 21, 0): i/sigi = 14.4( 0, 23, 0): i/sigi = 0.8( 0, 25, 0): i/sigi = 2.3( 0, 27, 0): i/sigi = 2.0P 21 21 2( 0, 3, 0): i/sigi = 21.3( 0, 5, 0): i/sigi = 21.4( 0, 7, 0): i/sigi = 20.7( 0, 9, 0): i/sigi = 21.4( 0, 11, 0): i/sigi = 20.7( 0, 13, 0): i/sigi = 14.5( 0, 17, 0): i/sigi = 10.4( 0, 21, 0): i/sigi = 14.4( 0, 23, 0): i/sigi = 0.8( 0, 25, 0): i/sigi = 2.3( 0, 27, 0): i/sigi = 2.0( 5, 0, 0): i/sigi = 21.0( 7, 0, 0): i/sigi = 4.8( 9, 0, 0): i/sigi = 14.3( 11, 0, 0): i/sigi = 15.2( 13, 0, 0): i/sigi = 18.3( 15, 0, 0): i/sigi = 12.7( 17, 0, 0): i/sigi = 4.1P 2 21 21( 0, 3, 0): i/sigi = 21.3( 0, 5, 0): i/sigi = 21.4( 0, 7, 0): i/sigi = 20.7( 0, 9, 0): i/sigi = 21.4( 0, 11, 0): i/sigi = 20.7( 0, 13, 0): i/sigi = 14.5( 0, 17, 0): i/sigi = 10.4( 0, 21, 0): i/sigi = 14.4( 0, 23, 0): i/sigi = 0.8( 0, 25, 0): i/sigi = 2.3( 0, 27, 0): i/sigi = 2.0P 21 2 21( 5, 0, 0): i/sigi = 21.0( 7, 0, 0): i/sigi = 4.8( 9, 0, 0): i/sigi = 14.3( 11, 0, 0): i/sigi = 15.2( 13, 0, 0): i/sigi = 18.3( 15, 0, 0): i/sigi = 12.7( 17, 0, 0): i/sigi = 4.1P 21 21 21( 0, 3, 0): i/sigi = 21.3( 0, 5, 0): i/sigi = 21.4( 0, 7, 0): i/sigi = 20.7( 0, 9, 0): i/sigi = 21.4( 0, 11, 0): i/sigi = 20.7( 0, 13, 0): i/sigi = 14.5( 0, 17, 0): i/sigi = 10.4( 0, 21, 0): i/sigi = 14.4( 0, 23, 0): i/sigi = 0.8( 0, 25, 0): i/sigi = 2.3( 0, 27, 0): i/sigi = 2.0( 5, 0, 0): i/sigi = 21.0( 7, 0, 0): i/sigi = 4.8( 9, 0, 0): i/sigi = 14.3( 11, 0, 0): i/sigi = 15.2( 13, 0, 0): i/sigi = 18.3( 15, 0, 0): i/sigi = 12.7( 17, 0, 0): i/sigi = 4.1Thanks ahead
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