ACTS ships with a comprehensive set of examples. These examples leverage a custom event-processing framework, that is expressly not intended to be used in any kind of production environment. These examples demonstrate how to set up and configure different components in the ACTS library to assemble a track reconstruction chain.
At the time of writing, there are two aspects to the ACTS examples:
Example executables for different purposes. This is the original form of examples provided by ACTS. A large number of separate executables are be built if
-DACTS_BUILD_EXAMPLES=ON, the exact set is also influenced by which plugins are enabled in the build. These executables are configured by a number of command line options, for example to set the number of events to be processed, or which output formats to read from / write to.
Standalone Performance and Analysis applications based on ROOT. These applications are built on top of the ROOT based output writers of the
Examplesfolder, they comprise of track reconstruction performance validation and material validation code.
Python bindings for the various components of the examples. These bindings allow more flexible combination of the example components into scripts, and can overcome the complexity of the large number of executables and command line options. The idea is that these scripts will serve as true examples, where modifications to the actual python code will be easy, and encouraged.
This section of the documentation contains a set of how-to guides, which describe different example executables, and how to combine them with one another to assemble several workflows.
Please, do not use the event-processing framework or the example executables in a production environment! They are meant for demonstration and prototyping purposes only!
- How-to guides
- Run the FAst TRAck Simulation
- ACTS Material Mapping Tutorial
- Run the seeding example
- Run the SYCL seed finding tests
- Run the truth tracking examples
- Run the CombinatorialKalmanFilter (CKF) tracking example
- ACTS Vertexing Tutorial - Example: Adaptive Multi-Vertex Finder (AMVF) - Pythia8
- Run the alignment examples
- Analysis Apps
- Python bindings