Mantid 6.1.0 Release Notes¶
We are proud to announce version 6.1.0 of Mantid.
This release includes several improvements to the user experience, notably a new widget to display total memory usage and an additional setting to the window behaviour of plots and interfaces.
Other highlights from this release include:
A new LeanElasticPeak object for constant wavelength instruments that is supported in existing algorithms for e.g. peak prediction and integration.
Added setting to allow user to select Floating/On Top behaviour.
Sectors drawn in the instrument viewer can now be used to define wedges for azimuthal averaging of 2D SANS data using Q1DWeighted.
ConvertUnits algorithm has been extended to use diffractometer constants from instrument calibration.
New algorithm GeneratePythonFitScript allows the creation of a python script for sequential fitting.
New algorithm CalculateMultipleScattering to calculate multiple scattering corrections.
These are just some of the many improvements in this release, so please take a look at the release notes, which are filled with details of the important changes and improvements in many areas. The development team has put a great effort into making all of these improvements within Mantid, and we would like to thank all of our beta testers for their time and effort helping us to make this another reliable version of Mantid.
Throughout the Mantid project we put a lot of effort into ensuring Mantid is a robust and reliable product. Thank you to everyone that has reported any issues to us. Please keep on reporting any problems you have, or crashes that occur on our forum.
Please cite any usage of Mantid as follows:
Mantid 6.1.0: Manipulation and Analysis Toolkit for Instrument Data.; Mantid Project. doi: 10.5286/SOFTWARE/MANTID6.1
Arnold, O. et al. Mantid-Data Analysis and Visualization Package for Neutron Scattering and mu-SR Experiments. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 764 (2014): 156-166 doi: 10.1016/j.nima.2014.07.029 (download bibtex)
For a full list of all issues addressed during this release please see the GitHub milestone.