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Merge pull request #69 from iris-hep/rct225-rename-and-create-muon-co…
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Updating prior project and adding update project
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davidlange6 authored Feb 1, 2024
2 parents b47d9b0 + 3fa011b commit 7229b0a
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8 changes: 5 additions & 3 deletions projects/diff-geant.yml
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Expand Up @@ -24,9 +24,11 @@ program:
- 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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48 changes: 48 additions & 0 deletions projects/muon-collider-tracking-2024.yml
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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:

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