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Merge pull request #168 from spagangriso/spg-2026-muc
Update on future collider projects
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projects/muon-collider-tracking-2024-2.yml renamed to projects/muon-collider-tracking-2025.yml

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email: spagangriso@lbl.gov
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- name: Sergo Jindariani
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email: sergo@fnal.gov
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- name: Angira Rastogi
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email: arastogi@lbl.gov
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mentees:
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- name: Sarah Shinde
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link: https://iris-hep.org/fellows/shindesc.html
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---
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name: Charged-particles reconstruction at Muon Colliders
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postdate: 2025-12-08
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categories:
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- Simulation
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- Analysis tools
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durations:
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- 3 months
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experiments:
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- Future Colliders
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skillset:
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- C++
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- Python
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status:
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- Available
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project:
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- IRIS-HEP
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program:
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- IRIS-HEP fellow
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location:
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- Remote
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- In person
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commitment:
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- Full time
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shortdescription: Optimization of charged-particle reconstruction algorithms in future Muon Colliders
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description: >
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A muon-collider has been proposed as a possible path for future high-energy physics.
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The design of a detector for a muon collider has to cope with a large
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rate of beam-induced background, resulting in an unprecedentedly large multplicity of particles entering the
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detector that are unrelated to the main muon-muon collision.
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The algorithms used for charged particle reconstruction (tracking) need to cope with such "noise" and be
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able to successfully reconstruct the trajectories of the particles of interest, which results
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in a very large conbinatorial problem that challenges the approaches adopted so far.
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The project consists of investigating how the tracking algorithms can be improved by utilizing a combination of
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directional information from specially-arranged silicon-detector layers and more advanced reconstruction techniques and algorithms
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available in the experiment-generic ACTS tracking library adapted to the specific environment expected for a Muon Collider detector.
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The project 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.
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contacts:
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- name: Simone Pagan Griso
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email: spagangriso@lbl.gov
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- name: Sergo Jindariani
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email: sergo@fnal.gov
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- name: Angira Rastogi
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email: arastogi@lbl.gov
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mentees:

projects/wfa-collider-bib-2025.yml

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- C++
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- Python
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status:
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- Available
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- Obsolete/Closed
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project:
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- IRIS-HEP
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program:
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---
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name: Software for Detector Design for future wake-field based colliders
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postdate: 2025-12-08
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categories:
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- Simulation
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- Analysis tools
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durations:
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- 3 months
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experiments:
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- Future Colliders
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skillset:
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- C++
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- Python
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status:
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- Available
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project:
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- IRIS-HEP
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program:
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- IRIS-HEP fellow
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location:
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- Remote
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- In person
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commitment:
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- Full time
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shortdescription: Software infrastructure and detector layout exploration for detectors at future wakefield-based colliders
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description: >
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Wafkefield-based acceleration techniques promised tens of GeV of acceleration in under a meter. Such concepts have been demonstrated in laboratories with single cells.
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Despite this promise, only recently a coordinated effort to study end-to-end a complete collider design based on such technology has started.
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Within this project, the question of what type of detector would be best suited to extract the best physics out of such very-high-energy electron-positron (or electron-electron, or photon-photon) collisions remains largely unexplored.
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In this project, you will help building up the software infrastructure, within the key4hep framework, that will allow such detailed studies and start exploring detector layout assumptions and their implications.
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contacts:
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- name: Simone Pagan Griso
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email: spagangriso@lbl.gov
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- name: Angira Rastogi
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email: arastogi@lbl.gov
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mentees:

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