Allpix Squared

A first user workshop for Allpix Squared will be held at CERN on November 26 and 27, 2018. This is an opportunity to bring together users and developers of the framework, to discuss existing features and to suggest new functionality. The workshop will consist of an introductory tutorial, a question and answer session, talks on selected topics such as the interface between TCAD and Monte Carlo simulations as well as several simulation examples from different fields. [Read More]

Once more we are happy to announce another patch release for a stable release of Allpix² . This is the second patch release of the 1.2 series, version 1.2.2 and is available from the repository as of now.

The following changes have been incorporated:

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Yesterday, Google announced the students who have successfully finished their Google Summer of Code projects this year - one of them being Viktor Sonesten, who worked on Allpix² over the course of the last three months. His main project was to enable parallel processing of multiple events within Allpix² .

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We are happy to announce a new patch release for the 1.2 series, Allpix² version 1.2.1. The release is available as

• Source code from the repository
• Binary tarballs for CERN CentOS7 and Scientific Linux CERN 6 from the website
• As Docker image from the project’s Docker registry
• As directly usable CVMFS installation for LXPLUS machines or any other CERN machine.

The following changes have been incorporated:

[Read More]

A paper describing the Allpix Squared framework and providing first validation results using test beam data has just been published in Nuclear Instrumentations and Methods in Physics Research A. The paper is published with open access and can be obtained from here: https://doi.org/10.1016/j.nima.2018.06.020 Please cite this paper when publishing your work using Allpix Squared as: S. Spannagel et al., “Allpix2: A modular simulation framework for silicon detectors”, Nucl. Instr. Meth. [Read More]

We are happy to announce a new stable feature release Allpix² version 1.2 with a total of 452 commits added to the repository by ten contributors since version 1.1. The release tarball can be downloaded from the repository:

https://gitlab.cern.ch/allpix-squared/allpix-squared/tags/v1.2

The new version is also available as docker image in the project’s docker registry, as read-to-use version on CVMFS and as binary release from the website.

This release has seen some major improvements in different areas, an overview of the most important changes and new features is provided in the following:

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We are happy to announce the second patch release of the 1.1 series, Allpix² version 1.1.2. The release is available as

• Source code from the repository
• Binary tarballs for CERN CentOS7 and Scientific Linux CERN 6 from the website
• As Docker image from the project’s Docker registry
• As directly usable CVMFS installation for LXPLUS machines or any other CERN machine.

This will likely be the last point release for the 1.1 series as exciting new features have already landed in the repository and call for a release of version 1.2 soon.

The following changes have been incorporated:

[Read More]

As of now we are providing Docker images for the framework to allow anyone to run simulations without the need of installing Allpix Squared natively on their system.

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We are happy to announce the first patch release of the new stable series, Allpix² version 1.1.1. The release is available as

• Source code from the repository
• Binary tarballs for CERN CentOS7 and Scientific Linux CERN 6 from the website
• As directly usable CVMFS installation for LXPLUS machines or any other CERN machine.

The main work in the last weeks went into improving our continuous integration and to provide ready-to-use binaries and installations.

The following changes have been incorporated:

[Read More]

We are happy to announce a new stable feature release Allpix² version 1.1 with a total of 575 commits added to the repository by nine contributors since version 1.0. The release tarball can be downloaded from the repository:

https://gitlab.cern.ch/allpix-squared/allpix-squared/tags/v1.1.0

Furthermore, a central installation is now available on CVMFS as discussed below.

The following list provides a non-exhaustive overview of new modules, added features and improvements which have been implemented:

[Read More]