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…llider-project Updating prior project and adding update project
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- IRIS-HEP fellow | ||
shortdescription: Developing an automatic differentiation and initial parameters optimisation pipeline for the particle shower model. | ||
description: > | ||
The goal of this project is to develop a differentiable simulation and optimization pipeline for Geant4. The narrow task of this Fellowship project is to | ||
develop a trial automatic differentiation and backpropagation pipeline for the Markov-like stochastic branching process that is modeling a particle shower | ||
spreading inside a detector material in three spatial dimensions. | ||
The goal of this project is to develop a differentiable simulation and | ||
optimization pipeline for Geant4. The narrow task of this Fellowship project | ||
is to develop a trial automatic differentiation and backpropagation pipeline | ||
for the Markov-like stochastic branching process that is modeling a particle | ||
shower spreading inside a detector material in three spatial dimensions. | ||
contacts: | ||
- name: Lukas Heinrich | ||
email: [email protected] | ||
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--- | ||
name: Charged-particles reconstruction at Muon Colliders | ||
postdate: 2024-01-31 | ||
categories: | ||
- Simulation | ||
- Analysis tools | ||
durations: | ||
- 3 months | ||
experiments: | ||
- Future Colliders | ||
skillset: | ||
- C++ | ||
- Python | ||
status: | ||
- Available | ||
project: | ||
- IRIS-HEP | ||
program: | ||
- IRIS-HEP fellow | ||
location: | ||
- Remote | ||
- In person | ||
commitment: | ||
- Full time | ||
|
||
shortdescription: Charged-particle reconstruction algorithms in future Muon Colliders | ||
description: > | ||
A muon-collider has been proposed as a possible path for future high-energy physics. | ||
The design of a detector for a muon collider has to cope with a large | ||
rate of beam-induced background, resulting in an unprecedentedly large multplicity of particles entering the | ||
detector that are unrelated to the main muon-muon collision. | ||
The algorithms used for charged particle reconstruction (tracking) need to cope with such "noise" and be | ||
able to successfully reconstruct the trajectories of the particles of interest, which results | ||
in a very large conbinatorial problem that challenges the approaches adopted so far. | ||
The project consists of two complementary objectives. In the first one, we will investigate how the tracking algorithms can | ||
be improved by utilizing directional information from specially-arranged silicon-detector layers. | ||
The second one, that will be the bulk of the project, aims to port the modern track reconstruction algorithms we are | ||
using from the older ILCSoft framework to the new Key4HEP software framework, which supports parallel multi-threaded execution | ||
of algorithms and will be needed to scale performance to the needs of the Collaboration, validate them and ensure they can be widely | ||
used by all collaborators. Improvements and ample space for new creative solutions and optimization allows the fellow to | ||
mix acquiring good technical skills and the ability to innovate state-of-the-art tracking algorithms in this less-explored environment. | ||
contacts: | ||
- name: Simone Pagan Griso | ||
email: [email protected] | ||
- name: Sergo Jindariani | ||
email: [email protected] | ||
mentees: |