Software for use on Sans2d data
** Please note: Since the introduction of the new tube array detectors on SANS2D, 32-bit versions of Mantid are now only just capable of reducing SANS2D data even if the maximum addressable 4Gb RAM is available. However, the Mantid Development Team have also signaled their intention to stop supporting 32-bit versions because they are now too limiting for the needs of many instruments. You are therefore recommended to use 64-bit versions of Mantid for reducing SANS2D data where your computing infrastructure permits, and 12 Gb RAM should be considered the minimum amount of memory necessary. This message was posted on 13 June 2014. **
* Please note: this version of Fish does not support the more advanced numerical integration schemes needed by some complex models, for example, those fitting oriented rods. These models are currently only available in the full VMS version of Fish or the non-GUI Windows port of that program (available here). Contact Richard Heenan for further advice regarding these versions of Fish. Support for Fish will effectively cease after January 2016.
Two 1D (eg, for 'intensity' vs Q) ASCII (text-based) data formats are in use on LOQ. However, use of the earlier 'LOQ' or 'FISH' or 'RKH' format is now deprecated in favour of an internationally agreed standard called SASXML or 'CanSAS-1D'. A 2D data format (eg, for 'intensity' vs Qx & Qy) based on the NeXus format, called NXcanSAS, is in preparation.
To use SASXML effectively you will also need to download an XML stylesheet appropriate to the version of SASXML you are using (right-click on a file below and 'Save as...'):
The benefits of SASXML are that it carries much more metadata about the content of the data file (useful when working with old data or when archiving data) and that it can be read automatically by XML-compliant software written by third-parties (this includes Microsoft). In addition, if you use Mantid to reduce your data and write it out as SASXML, any sample and/or can transmission data will be automatically included in the same data file.
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