Speaker
Description
One of the most challenging reconstruction processes of future detector systems in the field of nuclear, hadron, particle and accelerator physics is the real-time identification of detector hits belonging to the same track of a charged particle in an environment of thousands of tracks, low momentum particles. This task has become an integral part of the online data reconstruction process, therefore demanding very high speeds to reconstruct the tracks.
Additionally usually not only one detector system measures the flight path of a particle but different ones which have to be combined. Often these detector systems do not return three dimensional space points like pixel detectors but different kinds of information like TPCs with x-, y-position and drift time or straw tube detectors with isochrone rings. Furthermore the event topology might be very different if not only tracks from a primary interaction point are taken into account but also tracks from displaced vertices, curling tracks, tracks with a kink, inside varying magnetic fields or high radiation length environments. For all these cases classical track finding algorithms have a hard time finding these tracks.
As a classical pattern recognition problem machine learning techniques like language models, LSTMs or graph neural networks should be the ideal tool to tackle those problems and improve both the reconstruction efficiency as well as the reconstruction speed.
Please describe areas in which you would like to improve your knowledge / skills.
Selection and application of Neural Networks on particle tracking.
Please describe your expertise/areas in which you would like to contribute / advise.
Software development, hadron physics.
My current most burning research question, I like to find partners for, is:
Machine Learning based Charged Particle Tracking
What is your field and role?
Hadron/Particle Physics.
Software Coordinator of the PANDA experiment
Please describe areas in which you can contribute to “data handling” teaching.
General computing techniques. C++ programming.
What is your expertise in computing and / or software development?
Experienced in software development.
In ErUM-Data, what kind of data are you dealing with?
Measured and simulated experiment data.
| Your ErUM - Committee is | KHuK - Komitee für Hadronen- und Kernphysik |
|---|---|
| Do you consent to the data usage and public abstract data posting in the ErUM-Data Community Information Exchange? | Yes |
