Conference Presentation

PUBDB-2025-05550

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Machine Learning Assisted Reconstruction of Hadron-Collider Events using Mini-Jets

Kogler, R.DESY* ; Murnauer, J. M. (Corresponding author)Extern* ; Kluth, S.Extern* ; Britzger, D.Extern*

2025

Abstract: Reconstructing impactful physical observables from hadron collider data represents challenges due to combinatorial ambiguities and experimental effects. We propose a novel approach using mini-jets (R=0.1) as the sole reconstructed objects, employing a deep neural network for observable determination. This method condenses full event information into a manageable size, demonstrating superior efficiency and generality compared to classical algorithms for future LHC analyses.

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Contributing Institute(s):

1. LHC/CMS Experiment (CMS)

Research Program(s):

1. 611 - Fundamental Particles and Forces (POF4-611) (POF4-611)

Experiment(s):

1. LHC: Other

Appears in the scientific report 2025

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Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Conference Presentation Blekman, F.Extern*DESY* ; Coll Saravia, L. (Corresponding author)DESY* ; Hinzmann, A.DESY* ; Lin, K.-Y.DESY* ; Komm, M.DESY*
Search for 3 top BSM resonances in boosted all hadronic final state
2025DPG Spring Meeting (German Physical Society), DPG2025, GöttingenGöttingen, Germany, 31 Mar 2025 - 4 Apr 20252025-03-312025-04-04     Files  Fulltext BibTeX | EndNote: XML, Text | RIS

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