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Update Ameya Thete's fellow page #1457

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merged 4 commits into from
May 17, 2022
Merged

Update Ameya Thete's fellow page #1457

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6513aa7
Add IRIS-HEP Fellow: Ameya Thete
athete May 1, 2022
d413322
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] May 1, 2022
d406e1c
Merge branch 'iris-hep:master' into master
athete May 17, 2022
67815d2
Update ameya1101.md
athete May 17, 2022
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4 changes: 3 additions & 1 deletion pages/fellows/ameya1101.md
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Expand Up @@ -16,7 +16,7 @@ project_goal: >
Tracking devices, or trackers, at the LHC record hits of charged particles produced in
a collision event. The task of track reconstruction involves clustering tracker hits to
reconstruct the trajectories of these particles. The sparse nature of tracking data makes
graph neural networks (GNNs) well-suited to praticle tracking applications. The goal of
graph neural networks (GNNs) well-suited to particle tracking applications. The goal of
this project is to develop a GNN for particle tracking by explicitly incorporating E(3)
equivariance into the model. Incorporating physically meaningful symmetries into the GNN
can reduce the number of parameters and potentially reduce training and inference times
Expand All @@ -29,4 +29,6 @@ presentations:
current_status: >
<strong> May 2022 </strong> - Undergraduate student of Physics and Computer Science at BITS, Pilani - K.K. Birla Goa Campus.
github-username: ameya1101
focus-area:
- ia
---