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Original file line number Diff line number Diff line change
Expand Up @@ -42,6 +42,8 @@ contacts:
email: spagangriso@lbl.gov
- name: Sergo Jindariani
email: sergo@fnal.gov
- name: Angira Rastogi
email: arastogi@lbl.gov
mentees:
- name: Sarah Shinde
link: https://iris-hep.org/fellows/shindesc.html
47 changes: 47 additions & 0 deletions projects/muon-collider-tracking-2026.yml
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@@ -0,0 +1,47 @@
---
name: Charged-particles reconstruction at Muon Colliders
postdate: 2025-12-08
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: Optimization of 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 investigating how the tracking algorithms can be improved by utilizing a combination of
directional information from specially-arranged silicon-detector layers and more advanced reconstruction techniques and algorithms
available in the experiment-generic ACTS tracking library adapted to the specific environment expected for a Muon Collider detector.
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.

contacts:
- name: Simone Pagan Griso
email: spagangriso@lbl.gov
- name: Sergo Jindariani
email: sergo@fnal.gov
- name: Angira Rastogi
email: arastogi@lbl.gov
mentees:
2 changes: 1 addition & 1 deletion projects/wfa-collider-bib-2025.yml
Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,7 @@ skillset:
- C++
- Python
status:
- Available
- Obsolete/Closed
project:
- IRIS-HEP
program:
Expand Down
38 changes: 38 additions & 0 deletions projects/wfa-collider-detector-sw-design.yml
Original file line number Diff line number Diff line change
@@ -0,0 +1,38 @@
---
name: Software for Detector Design for future wake-field based colliders
postdate: 2025-12-08
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: Software infrastructure and detector layout exploration for detectors at future wakefield-based colliders
description: >
Wafkefield-based acceleration techniques promised tens of GeV of acceleration in under a meter. Such concepts have been demonstrated in laboratories with single cells.
Despite this promise, only recently a coordinated effort to study end-to-end a complete collider design based on such technology has started.
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.
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.

contacts:
- name: Simone Pagan Griso
email: spagangriso@lbl.gov
- name: Angira Rastogi
email: arastogi@lbl.gov
mentees:
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