The G4ChannelingFastSimModel [1] to simulate charged particle trajectories as well as the radiation process was implemented into Geant4 and is officially available for download starting from Geant4-11.2.0 (release of December 8, 2023 https://geant4.web.cern.ch/download/11.2.0.html ). The model can be found in source/parameterisations/channeling/ . The updates of this model were realized within Geant4-11.3.0 (release of December 6, 2024
https://geant4.web.cern.ch/download/11.3.0.html(si apre in una nuova finestra)).
Its brief description is released in Geant4 Physics Reference Manual
https://geant4-userdoc.web.cern.ch/UsersGuides/PhysicsReferenceManual/html/solidstate/channeling/channeling_fastsim.html(si apre in una nuova finestra). The validation of every aspect of this simulation model with various experimental data was carried out.
This model represents itself as a full collection of physics of electromagnetic effects in oriented crystals necessary for simulations of all the main applications considered in the project:
crystal-based positron source for future electron-positron colliders, crystal-based extraction from an accelerator, and innovative X- and gamma- radiation source - crystalline undulator.
These applications were realized as Geant4 examples. The crystal-based extraction application is based on BDSim toolkit, which is designed for simulating beam dynamics in accelerators, while leveraging Geant4 as a library.
These results are being used by various collaborations, particular by IJCLab to develop FCC-ee positron source and by DESY for crystal-based extraction of electrons as well as by various INFN groups to simulate particle dynamics, radiation and electron-positron pair production for various applications, such as gamma radiation source and ultrashort crystalline calorimeter.
Many new collaborations have been started in other possible applications of oriented crystals, in particular in plasma wakefield acceleration in crystals and nanostructures, ultra-compact crystalline calorimeter, in particular for gamma-ray space telescope, dark matter search and Machine Learning for faster simulations.
The work was presented in 19 invited talks, 33 oral and 11 poster presentations and was published in 21 papers.
1. A. Sytov et al. Journal of the Korean Physical Society 83, 132-139, (2023). DOI:
https://doi.org/10.1007/s40042-023-00834-6(si apre in una nuova finestra) arXiv:2303.04385