2022-10-12 16:10 |
Charged Particle Tracking in Real Time using Full-Mesh Data Delivery Architecture and Associative Memory Techniques
/ Ahuja, Sudha (Ecole Polytechnique) ; Shinoda, Ailton Akira (SAO_PAULO) ; Arruda Ramalho, Lucas (SAO_PAULO) ; Baulieu, Guillaume (IP2I, Lyon) ; Boudoul, Gaelle (IP2I, Lyon) ; Casarsa, Massimo (INFN, Trieste) ; Muller Cascadan, Andre (SAO_PAULO) ; Clement, Emyr John (Bristol U.) ; Costa De Paiva, Thiago (SAO_PAULO) ; Das, Souvik (Purdue U.) et al.
We present a flexible and scalable approach to address the challenges of charged particle track reconstruction in real-time event filters (Level-1 triggers) in collider physics experiments. The method described here is based on a full-mesh architecture for data distribution and relies on the Associative Memory approach to implement a pattern recognition algorithm that quickly identifies and organizes hits associated to trajectories of particles originating from particle collisions. [...]
CMS-NOTE-2022-011; FERMILAB-PUB-22-776-PPD; arXiv:2210.02489; CERN-CMS-NOTE-2022-011.-
Geneva : CERN, 2022 - 33 p.
- Published in : JINST 17 (2022) P12002
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2022-09-12 14:10 |
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2022-09-05 13:29 |
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2022-07-08 16:54 |
CMS Phase-2 Computing Model: Update Document
/ CMS Offline Software ; Computing
The Phase-2 upgrade of CMS, coupled with the projected performance of the HL-LHC, shows great promise in terms of discovery potential. However, the increased granularity of the CMS detector and the higher complexity of the collision events generated by the accelerator pose challenges in the areas of data acquisition, processing, simulation, and analysis [...]
CMS-NOTE-2022-008; CERN-CMS-NOTE-2022-008.-
Geneva : CERN, 2022 - 45 p.
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2022-06-20 12:53 |
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2022-06-07 13:36 |
Comparative characterization study of LYSO:Ce crystals for timing applications
/ Addesa, Francesca Maria (Princeton U.) ; Barria, Patrizia (INFN, Rome) ; Bianco, Roberta (INFN, Rome) ; Campana, Mattia (INFN, Rome ; Rome U.) ; Cavallari, Francesca (INFN, Rome) ; Cemmi, A ; Cipriani, Marco (CERN) ; Dafinei, Ioan (INFN, Rome) ; Del Re, Daniele (INFN, Rome ; Rome U.) ; Diemoz, Marcella (INFN, Rome) et al.
Cerium-doped Lutetium-Yttrium Oxyorthosilicate (LYSO:Ce) is one of the most widely used Cerium-doped Lutetium based scintillation crystals. Initially developed for medical detectors it rapidly became attractive for High Energy Particle Physics (HEP) applications, especially in the frame of high luminosity particle colliders. [...]
CMS-NOTE-2022-006; CERN-CMS-NOTE-2022-006.-
Geneva : CERN, 2022 - 39 p.
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2022-05-02 13:37 |
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2022-04-07 12:44 |
Quality Control of Mass-Produced GEM Detectors for the CMS GE1/1 Muon Upgrade
/ Abbas, Syed Mohsin (IPM, Tehran) ; Abbrescia, Marcello (INFN, Bari ; Bari U.) ; Abdalla, Hassan Fathy (Cairo, Acad. Sci. Res. Tech.) ; Abdelalim, Ahmed Ali (Cairo, Acad. Sci. Res. Tech.) ; Abuzeid Hassan, Shimaa Abdelwahed (INFN, Pavia) ; Agapitos, Antonis (Peking U.) ; Ahmad, Ashfaq (Quaid-i-Azam U.) ; Ahmed, Asar (Delhi U.) ; Ahmed, Waqar (Quaid-i-Azam U.) ; Aimè, Chiara (INFN, Pavia ; Pavia U.) et al.
The series of upgrades to the Large Hadron Collider, culminating in the High Luminosity Large Hadron Collider, will enable a significant expansion of the physics program of the CMS experiment. However, the accelerator upgrades will also make the experimental conditions more challenging, with implications for detector operations, triggering, and data analysis. [...]
CMS-NOTE-2022-004; CERN-CMS-NOTE-2022-004.-
Geneva : CERN, 2022 - 47 p.
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2022-03-19 10:26 |
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2022-02-28 16:14 |
CMS Full Simulation for Run-3
/ Ivantchenko, Vladimir (Tomsk State U.) ; Banerjee, Sunanda (Wisconsin U., Madison) ; Hugo, Gabrielle (CERN) ; Lo Meo, Sergio (INFN, Bologna) ; Osborne, Ianna (Princeton U.) ; Pedro, Kevin Jerome (Fermilab) ; Piparo, Danilo (CERN) ; Sorokin, Dmitry (Moscow, MIPT) ; Srimanobhas, Norraphat (Chulalongkorn U.) ; Vuosalo, Carl Onni Urho (Wisconsin U., Madison)
We report the status of the CMS full simulation for Run 3. During the long shutdown of the LHC a significant update has been introduced to the CMS code for simulation. [...]
CMS-NOTE-2022-002; CERN-CMS-NOTE-2022-002.-
Geneva : CERN, 2021 - 7 p.
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