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December 12th, 2018: McStas 2.5 release!Dear all, Our 20-year anniversary release McStas 2.5 has been built and is ready for download! Download and installation instructions are available via our GitHub download pages Selected highligts from the release are listed below. The full list of changes is also available at http://mcstas.org/CHANGES_McStas. Greetings and merry X-mas from the McStas team - hope you will enjoy this new release! :-) Peter Willendrup Changes in McStas v.2.5, December 12th, 2018 McStas 2.5 is the seventh release in the 2.x series and fixes various issues with McStas 2.4.1, plus many new developments. McStas 2.5 is also the 20th anniversary release of McStas - 1.0 was released in October 1998! Thanks:
Installation:
Fixes of issues from last release:
Plus lots of work in general:
Tools:
Platforms:
Libraries:
Components:
Instruments:
We hope you will enjoy this 20th anniversary release!!!
Dear all,
To assess the current use of McStas, we have put together the below survey for users of our neutron Monte Carlo ray-tracing package.
Using the survey results, we hope to gain insight and statistics on the McStas user community, where it is currently based, which operating systems and computing infrastructures are used, and to what satisfaction the package, support infrastructure and documentation is used. The survey should also give us a clear picture where to focus our future efforts.
We hope you will help us by investing a few minutes in the survey:
On behalf of the McStas team,
I can confirm that the latest McStas works fine on the newest macOS
release, even though the distributed "Check-PL-dependencies" script will report
both 10.13 and 10.14 as an unsupported macOS releases.
If you need to install our Perl-based tool chain on 10.13 High
Sierra or 10.14 Mojave, the easiest way is to download an updated version of the above script, get
it from
our GitHub (I will also put a copy alongside the existing .tgz for
download)
If, after an upgrade to Mojave you get compilation issues
with the error message
Does the combination of DFT or classical MD with McStas for modeling experimental data
sound interesting?
If so, please consider participating in the MDANSE
2018 event in Tenerife this fall. Registration closes on May 31st 2018.
(You can also read more in this a post to mcstas-users)
I have tested McStas 2.4.1 with the recent Ubuntu 18.04 LTS "bionic
beaver", and the usual installation recipe works.
The only found issue so far relates to the behaviour of the
Perl+PGPLOT mcplot.pl plotter which out of the box fails
with the error message: "%giza - ERROR - giza_open_device: Unknown
device, device not opened" (see below graphics also).
The following solutions/workarounds exist:
As some of you may have already seen via our facebook page or on twitter, a joint
McStas-McXtrace team visited the 2018
GPU Hackathon in Dresden in March.
We can not a such claim that the software fully runs on
NVIDIA GPU's, but we certainly gained knowledge and will investigate
further. :-)
The team pariticpating in Dresden were
Here is a few photos from the event - and also a PDF from
the final presentation, put together by Mads Bertelsen,
University of Copenhagen Previous news items: 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003,2002, 2001, 2000, 1999,
1998.
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