تقرير
Optimizing Trigger-Level Track Reconstruction for Sensitivity to Exotic Signatures
| العنوان: | Optimizing Trigger-Level Track Reconstruction for Sensitivity to Exotic Signatures |
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| المؤلفون: | Di Petrillo, K. F., Farr, J. N., Guo, C., Holmes, T. R., Nelson, J., Pachal, K. |
| المصدر: | J. High Energ. Phys. 2023 |
| سنة النشر: | 2022 |
| المجموعة: | High Energy Physics - Experiment |
| مصطلحات موضوعية: | High Energy Physics - Experiment |
| الوصف: | Many compelling beyond the Standard Model scenarios predict signals that result in unconventional charged particle trajectories. Signatures for which unusual tracks are the most conspicuous feature of the event pose significant challenges for experiments at the Large Hadron Collider (LHC), particularly for the trigger. This article presents a study of track-based triggers for a representative set of long-lived and unconventional signatures at the upcoming High Luminosity LHC, as well as resulting recommendations for the target parameters of a hardware-based tracking system. Scenarios studied include large multiplicities of low momentum tracks produced in a soft-unclustered-energy-pattern model, displaced leptons and anomalous prompt tracks predicted in a Supersymmetry model with long-lived staus, and displaced hadrons predicted in a Higgs portal scenario with long-lived scalars. Comment: arXiv admin note: substantial text overlap with arXiv:2203.07314 |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1007/JHEP02(2023)034 |
| URL الوصول: | http://arxiv.org/abs/2211.05720 |
| رقم الأكسشن: | edsarx.2211.05720 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1007/JHEP02(2023)034 |
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