Aachen 2019 – wissenschaftliches Programm
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T: Fachverband Teilchenphysik
T 42: Experimentelle Methoden I
T 42.6: Vortrag
Dienstag, 26. März 2019, 17:20–17:35, ST 1
What can High Energy Physics Tracking learn from 1990s computer graphics? — •Paul Gessinger1,2, Andreas Salzburger2, and Stefan Tapprogge1 — 1Johannes Gutenberg-Universität Mainz — 2CERN
The process of forming particle trajectories from measurements is called track reconstruction. Due to pile-up, this quickly becomes the most resource intensive part of event reconstruction in HEP. In recent runs of the LHC, experiments have successfully used highly optimized software to achieve desirable computational and physics performance. In light of the upcoming increase of luminosity for the HL-LHC, new solutions are being developed. Propagation and navigation of particle trajectories through the detector are particularly CPU intensive tasks. This is essential for fitting tracks, and thus is revisited in the Acts project. In computer graphics, highly performant ray tracing algorithms are used frequently. Using ray-box intersections in hierarchies of boxes, intersections of the assumed direction of a track and the detector geometry can be found efficiently. These algorithms could enable a more robust and flexible alternative to other navigation solutions. The approach could also alleviate some of the sophistication and fine-tuning required in building geometries which can be navigated easily. Different navigation strategies through HEP detector geometries and their interplay with track reconstruction will be covered in this talk. Benefits and pitfalls of the different approaches will be reviewed. The usage of intersection algorithms for fast navigation will be investigated and applicability to real-world tracking scenarios will be evaluated.