Hi John,

good idea in principle, but the amount of incompatible code changes between 
versions is surprisingly large. 
On top of that, XDS philosophy has always been that there is a single "best" 
algorithm (which may be fine-tuned in subsequent releases).
The main arguments for that are:
- it is scientifically more satisfactory
- it is a support nightmare 
to have more than one versions/ algorithms.

Best,
Kay

On Sat, 5 Oct 2024 14:38:22 -0500, john bacik <thesupremecrul...@gmail.com> 
wrote:

>Hi Kay, thank you so much for the explanation, this is very helpful. Maybe
>it is already possible, but perhaps the user could select whether to do the
>background estimation using either the old or new way (with or without
>local fitting), via the XDS.INP file?
>
>Thanks again,
>John
>
>On Sat, Oct 5, 2024 at 11:27 AM Kay Diederichs <
>kay.diederi...@uni-konstanz.de> wrote:
>
>> Dear John,
>>
>> version 202406030 of XDS estimates the background "under" a reflection in
>> a different way than 20230630 and earlier.
>> The new way uses a background template based on the background image
>> constructed in the INIT step of XDS, whereas in the old way that was only
>> used for calculating a scale factor for INTEGRATE.
>> BUILTs 20240723 and 20241002 differ in the way they use the background
>> template, and 20241002 does it more subtly, by local fitting, which gives
>> more accurate results, but may use more computing time.
>>
>> Hope this helps,
>> Kay
>>
>> On Sat, 5 Oct 2024 13:45:59 +0000, John Bacik <mx...@yahoo.com> wrote:
>>
>> > Dear Kay, do have any more information or would you mind explaining a
>> bit more what changes in the XDS code led to these significantly different
>> statistics in the different XDS versions?
>> >Thanks,John
>> >
>> >
>> >
>> >    On Wednesday, October 2, 2024 at 02:35:25 PM CDT, Kay Diederichs <
>> kay.diederi...@uni-konstanz.de> wrote:
>> >
>> > Dear Yimin,
>> >
>> >similar shortcomings were observed with other datasets with XDS VERSION
>> Jun 30, 2024 that was posted on July 23 at
>> https://xds.mr.mpg.de/html_doc/downloading.html . I am sorry for that!
>> The testing of that version had not uncovered this problem.
>> >
>> >Corrected binaries were posted today at that site, and my (admittedly
>> limited) testing shows them to be as good as, or better than the old (2023)
>> version. Please install and use these binaries.
>> >
>> >That previous version was made available for comparison purposes as
>> XDS_old.tar.gz, with expiration date 31 Mar 2025, for Linux; download link
>> is at https://xds.mr.mpg.de/ .
>> >
>> >Hope this helps,
>> >Kay
>> >
>> >On Wed, 2 Oct 2024 16:30:55 +0200, Yimin Hu <yimin...@tuebingen.mpg.de>
>> wrote:
>> >
>> >>Dear colleagues,
>> >>
>> >>I ran into a problem when I reprocessed a dataset after switching to XDS
>> VERSION Jun 30, 2024.
>> >>
>> >>Processing the dataset with the old XDS I ended up with these statistics:
>> >>
>> >>RESOLUTION    NUMBER OF REFLECTIONS    COMPLETENESS R-FACTOR  R-FACTOR
>> COMPARED I/SIGMA  R-meas  CC(1/2)  Anomal  SigAno  Nano
>> >>  LIMIT    OBSERVED  UNIQUE  POSSIBLE    OF DATA  observed  expected
>>                                   Corr
>> >>    5.78      16747    1239      1253      98.9%      7.4%      8.5%
>> 16745  29.13      7.6%    99.9*    2    0.740    465
>> >>    4.10      29921    2220      2226      99.7%      8.9%      8.7%
>> 29921  28.12      9.2%    99.8*    9    0.897    951
>> >>    3.35      40065    2848      2849      100.0%      10.1%      9.3%
>>   40065  23.84    10.4%    99.8*    3    0.841    1264
>> >>    2.91      44213    3390      3390      100.0%      13.5%    13.0%
>> 44213  14.61    14.1%    99.8*  -10    0.717    1537
>> >>    2.60      54235    3827      3827      100.0%      24.6%    28.4%
>> 54235    9.08    25.5%    99.5*  -15    0.611    1758
>> >>    2.38      62062    4270      4270      100.0%      42.5%    57.6%
>> 62062    5.40    44.1%    98.8*  -10    0.565    1973
>> >>    2.20      62076    4589      4589      100.0%      76.3%    111.3%
>>   62076    3.06    79.2%    97.0*    -7    0.549    2138
>> >>    2.06      67437    4941      4941      100.0%    116.7%    176.7%
>> 67437    2.03    121.3%    89.2*    -8    0.541    2311
>> >>    1.94      70590    5226      5268      99.2%    232.1%    363.5%
>> 70579    0.93    241.2%    64.3*    -4    0.511    2451
>> >>    total      447346  32550    32613      99.8%      12.7%    14.4%
>> 447333    9.30    13.2%    99.9*    -5    0.621  14848
>> >>
>> >>
>> >>Reprocessing the dataset with the new version I ended up with the
>> following statistics though I kept the parameters essentially the same:
>> >>
>> >> RESOLUTION    NUMBER OF REFLECTIONS    COMPLETENESS R-FACTOR  R-FACTOR
>> COMPARED I/SIGMA  R-meas  CC(1/2)  Anomal  SigAno  Nano
>> >>  LIMIT    OBSERVED  UNIQUE  POSSIBLE    OF DATA  observed  expected
>>                                   Corr
>> >>
>> >>    5.80      16932    1220      1240      98.4%      7.2%      8.5%
>> 16930  28.65      7.5%    99.9*  -39    0.502    459
>> >>    4.12      29888    2207      2209      99.9%      9.9%      9.3%
>> 29888  25.46    10.3%    99.7*    0    0.707    945
>> >>    3.37      34817    2796      2836      98.6%      14.9%    11.7%
>> 34817  17.63    15.5%    99.7*    15*  0.947    1244
>> >>    2.92      42552    3268      3347      97.6%      24.5%    23.5%
>> 42552  10.04    25.5%    99.6*  -12    0.583    1481
>> >>    2.61      54120    3811      3816      99.9%      56.8%    69.2%
>> 54120    6.14    58.9%    98.2*  -14    0.543    1750
>> >>    2.38      60922    4173      4221      98.9%    358.4%    464.1%
>> 60922    2.93    371.4%    93.7*  -18    0.421    1897
>> >>    2.21      52076    3861      4566      84.6%    -99.9%    -99.9%
>> 52076    0.00    -99.9%    66.9*  -37    0.306    1566
>> >>    2.06      40823    3045      4911      62.0%    -99.9%    -99.9%
>> 40823    0.00    -99.9%    33.3*  -39    0.196    1047
>> >>    1.95      34764    2526      5227      48.3%    -99.9%    -99.9%
>> 34764    0.00    -99.9%    14.7*  -48    0.072    585
>> >>    total      366894  26907    32373      83.1%      28.2%    29.1%
>> 366892    7.57    29.2%    99.8*  -16    0.493  10974
>> >>
>> >>I tried to tweak several parameters, especially for background
>> subtraction, but it didn't really help. It would be great if you could give
>> me some suggestions. Thank you in advance!
>> >>
>> >>Best,
>> >>Yimin
>> >>
>> >>
>> >>--
>> >>Yimin Hu
>> >>(Pronouns: she/her)
>> >>PhD Student
>> >>Department of Protein Evolution
>> >>Max Planck Institute for Biology, Tübingen
>> >>
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