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INSTALL-McStas/Docker/README.md

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# Running McStas and McXtrace 3.5.39 in Docker / podman etc.
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# Running McStas and McXtrace 3.5.40 in Docker / podman etc.
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The container definition is available at [here](https://github.com/willend/jupyter-remote-desktop-proxy/tree/mcstas-mcxtrace-3.5) and is further on dockerhub under docker.io/mccode/mcstas-mcxtrace
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INSTALL-McStas/Linux/README.md

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# Install McStas 3.5.39 on Linux and Unix.
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# Install McStas 3.5.40 on Linux and Unix.
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* We provide Debian packages, RedHat packages, and tar.gz's of "preconfigured" source code.
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INSTALL-McStas/Linux/debian/README.md

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## Install McStas 3.5.39 On Debian class systems (including Ubuntu, mint etc.):
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## Install McStas 3.5.40 On Debian class systems (including Ubuntu, mint etc.):
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The packages have been tested to work correctly on Ubuntu 24.04.
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# Add the McCode repository
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mcstas-tools-python-mcrun - python-tools-mcrun built using CMake
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```
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The meta-package mcstas-suite-python (or mcstas-suite-python-ng)
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allows you to install mcstas 3.5.39 with tools (mcrun/mcplot etc.) by
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allows you to install mcstas 3.5.40 with tools (mcrun/mcplot etc.) by
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the simple apt-get command
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```bash
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sudo apt-get install mcstas-suite-python

INSTALL-McStas/README.md

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# Installation instructions for McStas 3.5.39
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# Installation instructions for McStas 3.5.40
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Please consult the individual platform instructions:
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INSTALL-McStas/Windows/README.md

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# Installation of McStas 3.5.39 on Windows 64 bit Intel systems (some support for arm64)
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# Installation of McStas 3.5.40 on Windows 64 bit Intel systems (some support for arm64)
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## *IMPORTANT: active internet connection required during installation*
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* Please use either of:
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* Once install has completed, please use the `mcstas-shell` shortcut on the desktop - issue terminal command `mcgui` to start the McStas GUI.
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* Option 1 *may* function `arm64` Windows, but will require installation of Visual Studio including both arm64 and x64_64 build tools for c++.
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2. **Legacy:**
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* install the legacy-style MinGW based [McStas 3.5.39 metapackage](https://download.mcstas.org/mcstas-3.5.39/Windows/McStas-Metapackage-3.5.39-win64.exe)
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* install the legacy-style MinGW based [McStas 3.5.40 metapackage](https://download.mcstas.org/mcstas-3.5.40/Windows/McStas-Metapackage-3.5.40-win64.exe)
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* Option 2 should be fully functional on `arm64` processors.
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3. **WSL:**
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* Use the directions available in [WSL](WSL/README.md) to install the "Windows subsystem for Linux" and run the Linux Debian binaries there.

INSTALL-McStas/Windows/WSL/README.md

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# Installation of McStas 3.5.39 on Windows 64 bit systems - using WSL
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# Installation of McStas 3.5.40 on Windows 64 bit systems - using WSL
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*(WSL is the Windows Subsystem for Linux, aka. bash on Ubuntu on Windows)*
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* To open it again later, simply issue bash in a terminal or through
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the start menu
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## Install the McStas 3.5.39 Debian packages
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## Install the McStas 3.5.40 Debian packages
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* Follow the
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[normal Debian installation instructions](../../Linux/debian/README.md)
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- essentially a matter of sudo apt-get install mcstas-suite-python

INSTALL-McStas/conda/README.md

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# Install McStas 3.5.39 through conda-forge (macOS, Linux or Windows host)
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# Install McStas 3.5.40 through conda-forge (macOS, Linux or Windows host)
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* We a set of conda-packages for installing McStas 3.5.39.x through conda
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* We a set of conda-packages for installing McStas 3.5.40.x through conda
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## Get yourself a conda / mamba
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Due to the complex [licensing situation](https://discuss.scientific-python.org/t/response-to-anaconda-switch-to-paid-plans/1395) with the commercial Anaconda ecosystem, we clearly recommend McStas users to start from an open-source entry-point such as

INSTALL-McStas/macOS/README.md

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# Installation of McStas 3.5.39 on macOS
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# Installation of McStas 3.5.40 on macOS
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## Supported macOS releases
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* macOS 11-15 (Big Sur and later, fully supported python tool set. Supported on both Intel and Apple Silicon,
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## Steps to perform
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* Download the package:
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[McStas 3.5.39 for macOS](https://download.mcstas.org/mcstas-3.5.39/macOS/mcstas-3.5.39-macOS-conda.tar.gz)
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[McStas 3.5.40 for macOS](https://download.mcstas.org/mcstas-3.5.40/macOS/mcstas-3.5.40-macOS-conda.tar.gz)
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and unpack it (e.g. double-clicking should work).
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* Open the relevant folder for your local processor
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* Drag the McStas-3.5.39.app to /Applications and right-click + open to start the app:<br/>
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* Drag the McStas-3.5.40.app to /Applications and right-click + open to start the app:<br/>
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![](screenshots/1_open-mcstas-from-Applications.png?raw=true)
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* Depending on your macOS version, security settings may initially prevent the app from opening, example from macOS 15 Sequoia:
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- Initial warning that "McStas-3.5.39" was not opened<br/>
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- Initial warning that "McStas-3.5.40" was not opened<br/>
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![](screenshots/2_mcstas-not-opened.png?raw=true)
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- Next, go to System Preferences, Privacy and Security and select to
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"Open Anyway"<br/>
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- And finally give your password for installation to proceed<br/>
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![](screenshots/5_admin-password.png?raw=true)
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* :warning: In case the last warning still does not allow to open the application, you may issue the following command in a Terminal: `sudo xattr -dr com.apple.quarantine /Applications/McStas-3.5.39.app`
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* :warning: In case the last warning still does not allow to open the application, you may issue the following command in a Terminal: `sudo xattr -dr com.apple.quarantine /Applications/McStas-3.5.40.app`
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* McStas 3.5.39 macOS app bundless are fully based on conda-forge and will "self-inject" all dependencies on first launch. Please follow any on-screen instructions given.
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* McStas 3.5.40 macOS app bundless are fully based on conda-forge and will "self-inject" all dependencies on first launch. Please follow any on-screen instructions given.
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* In case you have trouble accessing instrument files in certain areas
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of your disk, please give the McStas bundle "Full Disk Access"

INSTALL-McXtrace/Docker/README.md

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# Running McStas and McXtrace 3.5.39 in Docker / podman etc.
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# Running McStas and McXtrace 3.5.40 in Docker / podman etc.
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The container definition is available at [here](https://github.com/willend/jupyter-remote-desktop-proxy/tree/mcstas-mcxtrace-3.5) and is further on dockerhub under docker.io/mccode/mcstas-mcxtrace
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INSTALL-McXtrace/Linux/README.md

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# Install McXtrace 3.5.39 on Linux and Unix.
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# Install McXtrace 3.5.40 on Linux and Unix.
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* We provide Debian packages, RedHat packages, and tar.gz's of "preconfigured" source code.
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