Installation Guide

Installation Guide#

There are two options how to run the G4SEE toolkit:

  • Option A) is to run it with Docker - see how to Run with Docker.

  • Option B) is to clone CERN Gitlab repositories and build G4SEE from the source - see how to Compile from source.

A) Run with Docker#

Automatically built Docker images are available for G4SEE toolkit in its GitLab Container Registry. G4SEE Docker images are Debian-based images, with Geant4 and G4SEE compiled and installed inside, ready to use.

Dependency#

The only dependency is Docker CE or Docker Desktop (a.k.a Docker). Before installing Docker, check if you have all system requirements installed.

Docker installation steps can be found here:

Pull G4SEE Docker image#

Note

Depending on your Docker installation, you may need to use sudo for docker commands.

Pull the g4see Docker image, naming the specific Docker image tag you need:

docker pull gitlab-registry.cern.ch/g4see/g4see:<TAG>

Available g4see Docker image tags:

Docker image TAG

G4SEE version

Geant4 version

Comment

v1.0_G4-11.2.2

v1.0

11.2.2

LATEST RELEASE

v1.0_G4-11.2.1

v1.0

11.2.1

LATEST RELEASE

v1.0_G4-11.2.0

v1.0

11.2.0

LATEST RELEASE

master_G4-11.2.2

master

11.2.2

development

master_G4-11.2.1

master

11.2.1

development

master_G4-11.2.0

master

11.2.0

development

v0.5.2_G4-11.1.3

v0.5.2

11.1.3

OLD RELEASE

v0.5.2_G4-11.1.2

v0.5.2

11.1.2

OLD RELEASE

v0.5.2_G4-11.1.1

v0.5.2

11.1.1

OLD RELEASE

v0.5.2_G4-11.1.0

v0.5.2

11.1.0

OLD RELEASE

Run G4SEE Docker container#

To start a container locally based on the image:

docker run -it -h g4see gitlab-registry.cern.ch/g4see/g4see:latest

To start a container with a local folder shared between host and container (mounted to container’s /home):

docker run -it -h g4see \
           -v /host/path/to/shared_folder:/home \
           gitlab-registry.cern.ch/g4see/g4see:latest

To start a container with GUI/visualization forwarding:

Note

You need to have G4 visualization dependencies installed on your local computer in order to display G4 GUI and visualization locally.

  • On a Linux host:

export DISPLAY=:0.0
xhost +local:docker
docker run -it -h geant4 \ 
           -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix \
           gitlab-registry.cern.ch/g4see/g4see:latest

  • On a Windows host:

    • Enable and use Windows Subsystem for Linux (WSL)

    • Install Xming X11 display server for Windows to run graphical applications with WSL

    • Allow WSL through Windows Firewall

    • Check IP address of your vEthernet (WSL) adapter with ipconfig, then set-variable -name DISPLAY -value <YOUR_WSL_IP>:0.0

docker run -it -h geant4 \
           -e DISPLAY=%DISPLAY% -v /tmp/.X11-unix:/tmp/.X11-unix \ 
           gitlab-registry.cern.ch/g4see/g4see:latest

  • On a Mac host:

    • Install XQuartz: brew install --cask xquartz

    • Run XQuartz: open -a XQuartz

      • Open preferences, go to the “Security” tab and check “Allow connections from network clients”

      • Leave XQuartz running

    • Back in the terminal: ip=$(ifconfig en0 | grep inet | awk '$1=="inet" {print $2}'); xhost + $ip

    • NOTE: There is a resolution limitation in XQuartz.

docker run -it -h geant4 \ 
           -e DISPLAY=$ip:0 -v /tmp/.X11-unix:/tmp/.X11-unix \
           gitlab-registry.cern.ch/g4see/g4see:latest

Paths inside container:

  • G4SEE source directory: /opt/g4see/ (G4SEE_SRC environment variable)

  • G4SEE build directory: /opt/g4see/build (G4SEE_BUILD environment variable)

  • Geant4 installation: /opt/geant4/install/lib/Geant4-<version> (G4LIB environment variable)

  • Geant4 examples: /opt/geant4/install/share/Geant4-<version>/examples/

Tools available in container:

  • G4SEE

  • Geant4

  • g++, gcc, cmake, make

  • git, curl, nano, htop

  • python3.10 with numpy, pandas, matplotlib, pyYAML

See Getting Started section how to run the G4SEE toolkit.

B) Compile from source#

Dependencies#

  • Git (recommended: latest stable version)

  • Geant4 (>= 11.0.0, recommended: latest stable version)

  • CMake (>= 3.17, recommended: latest stable version)

  • Python (>= 3.8, recommended: latest stable version)

  • Python package dependencies can be found in g4see-scripts/requirements.txt

Get the source code#

Get the latest, stable version (master branch or a specific tag) from CERN GitLab:

  • clone the repo (you are automatically on master branch):

    git clone --recursive https://gitlab.cern.ch/g4see/g4see.git

    • Please note: --recursive option is needed to clone embedded git repositories (git submodules) as well

    • Other method:

      git clone https://gitlab.cern.ch/g4see/g4see.git
git submodule init
git submodule update --remote

    • (optional) switch to a specific tag (release): git checkout tags/v1.0

    • (optional) switch to a specific branch: git checkout <branch>

    • pull latest changes from remote repository: git pull

Build & Compile#

Build command-line with cmake, then compile with make. Starting from your local g4see/ repository root folder:

source <Geant4_installation_path>/bin/geant4.sh
export G4LIB=<Geant4_installation_path>/lib64/Geant4-<version>/

mkdir build && cd build
cmake -DGeant4_DIR=$G4LIB ..
make -j [number_of_jobs]
sudo make install

  • To compile a single-threaded G4SEE app (instead of a multi-threaded), use optional -DMULTITHREADED=False flag for cmake (default: True)

  • make install is optional, it copies g4see and mergeHistograms executables into /usr/local/bin/ directory

Executables:

  • build/g4see

  • build/mergeHistograms

  • build/scripts/g4see.py {submit,delete,view,merge,plot}

    • submit Submit jobs to cluster nodes

    • delete Delete jobs submitted to cluster nodes

    • view Visualize geometry from macro file

    • merge Merge histogram files recursively

    • plot Plot histograms from files

See Getting Started section how to run the G4SEE toolkit.