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| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Kogler, Roman |0 P:(DE-H253)PIP1005858 |b 0 |u desy |
| 111 | 2 | _ | |a DPG Spring Meeting (German Physical Society) |g DPG2025 |c Göttingen |d 2025-03-31 - 2025-04-04 |w Germany |
| 245 | _ | _ | |a Machine Learning Assisted Reconstruction of Hadron-Collider Events using Mini-Jets |
| 260 | _ | _ | |c 2025 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
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| 520 | _ | _ | |a 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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