Updating prior project and adding update project

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: