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Artykuły w czasopismach na temat "L1 trigger"
Wightman, Andrew, Geoffrey Smith, Kelci Mohrman i Charles Mueller. "Trigger Rate Monitoring Tools at CMS". EPJ Web of Conferences 214 (2019): 01047. http://dx.doi.org/10.1051/epjconf/201921401047.
Pełny tekst źródłaKoulouris, A., Y. Afik, A. Armbruster, P. Czodrowski, N. Ellis, S. Haas, A. Kulinska i in. "Commissioning of the new muon-to-central-trigger-processor interface at ATLAS". Journal of Instrumentation 18, nr 03 (1.03.2023): C03020. http://dx.doi.org/10.1088/1748-0221/18/03/c03020.
Pełny tekst źródłaGhete, V. M., i Cms Collaboration. "The CMS L1 Trigger emulation software". Journal of Physics: Conference Series 219, nr 3 (1.04.2010): 032009. http://dx.doi.org/10.1088/1742-6596/219/3/032009.
Pełny tekst źródłaDordevic, Milos. "The CMS Trigger System". Journal of Physics: Conference Series 2375, nr 1 (1.11.2022): 012003. http://dx.doi.org/10.1088/1742-6596/2375/1/012003.
Pełny tekst źródłaDonato, Silvio. "CMS trigger performance". EPJ Web of Conferences 182 (2018): 02037. http://dx.doi.org/10.1051/epjconf/201818202037.
Pełny tekst źródłaPortalès, Louis. "L1 Triggering on High-Granularity Information at the HL-LHC". Instruments 6, nr 4 (31.10.2022): 71. http://dx.doi.org/10.3390/instruments6040071.
Pełny tekst źródłaHoff, J., M. Johnson, R. Lipton, G. Magazzu, N. Pozzobon, A. Ryd i E. Salvati. "Design for a L1 tracking trigger for CMS". Journal of Instrumentation 8, nr 02 (4.02.2013): C02004. http://dx.doi.org/10.1088/1748-0221/8/02/c02004.
Pełny tekst źródłaCieri, D., J. Brooke, M. Grimes, D. Newbold, K. Harder, C. Shepherd-Themistocleous, I. Tomalin i in. "L1 track finding for a time multiplexed trigger". Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 824 (lipiec 2016): 268–69. http://dx.doi.org/10.1016/j.nima.2015.09.117.
Pełny tekst źródłaKumar, Piyush, i Bhawna Gomber. "The CMS Level-1 Calorimeter Trigger for the HL-LHC". Instruments 6, nr 4 (17.10.2022): 64. http://dx.doi.org/10.3390/instruments6040064.
Pełny tekst źródłaHoff, J., M. Johnson, R. Lipton i G. Magazzu. "Readout chip for an L1 tracking trigger using asynchronous logic". Journal of Instrumentation 7, nr 08 (23.08.2012): C08004. http://dx.doi.org/10.1088/1748-0221/7/08/c08004.
Pełny tekst źródłaRozprawy doktorskie na temat "L1 trigger"
Motta, Jona. "Development of machine learning based tau trigger algorithms and search for Higgs boson pair production in the bbtautau decay channel with the CMS detector at the LHC". Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAX094.
Pełny tekst źródłaThis thesis presents the study of the Higgs boson pair (HH) production in the final state with a pair of b quarks and a pair of τ leptons (bbττ), exploiting proton-proton collisions data collected at 13 TeV centre-of-mass energy with the CMS detector at the CERN large hadron collider (LHC), corresponding to 138fb-1 accumulated during the Run2 data-taking period (2015-2018). The bbττ decay channel gives a good trade-off between a sizable branching fraction (7.3%) and the purity of the τ selection, ensuring the good rejection of the background contributions. The study of HH production gives access to the measurement of the Higgs boson self-coupling (λ3h). In the context of the standard model (SM), this coupling is the only parameter governing the shape of the Higgs potential and it is precisely predicted by the theory; therefore a measurement of λ3h is a test of the validity of the SM and allows us to shed light on the process of electroweak symmetry breaking. In the context of beyond the SM (BSM) theories - with a particular interest in effective field theories - λ3h can assume values larger than that predicted by the SM, greatly enhancing the HH production cross section; the measurement of deviations from the SM prediction would open the road to yet another new era of physics. Upper limits on the SM signal are set at 95% confidence level (CL) to be around 3 and 124 times the SM for σ(gg->HH) and σ(qq->HH), respectively. The results are also interpreted in the context of 20 different independent BSM scenarios for which 95% CL limits are set. The experimental context of this thesis is the restart of LHC operations in 2022 for its Run3, a new phase with collisions at an energy of 13.6 TeV and instantaneous luminosity of 2-2.2x10^34cm-2s-1. In Run3, the hardware capabilities of the CMS Level-1 trigger (L1T) are unchanged with respect to Run2. This requires the development of bolder and more sophisticated approaches to optimise available algorithms, to guarantee the success of the CMS physics program. Especially interesting is the optimisation of the L1T section that exploits calorimetric information. As part of this thesis a new machine learning method, based on a neural network, has been developed for the calibration applied in the L1T to calorimeter energy deposits; it exploits data for the calibration of single detector objects and its promising performance is evaluated against the offline reconstruction of electrons and hadronic jets. The calorimetric information is then optimally used by the algorithm for the reconstruction and identification of hadronically decaying τ leptons (τh), whose optimisation for the Run3 is performed in this thesis employing a new, simple, and more informative approach; the performance of this approach is evaluated using Z->ττ events collected during 2022. At the same time, the CMS collaboration is striving for its Phase2 upgrade program, which is intended to match the ambitious High-Luminosity LHC (HL-LHC) physics program, starting in 2029. The considerably increased volume of data collected by the HL-LHC will ensure the statistical power for the detailed study of λ3h and possibly its measurement; on the other hand, the larger instantaneous luminosity will require the full replacement of the L1T with hardware of increased capabilities based on state-of-the-art field programmable gate arrays (FPGAs) to efficiently collect data. To exploit the FPGA capabilities to the maximum, a new machine learning algorithm for the reconstruction, identification, and calibration of τh candidates in the L1T has been developed as part of this thesis. This algorithm exploits convolutional neural networks implemented in FPGA firmware and ensures largely enhanced performance compared to standard approaches. All the technical advancement developed within this thesis has one goal: improving the sensitivity of CMS analyses to the measurement of the Higgs boson self-coupling during the ongoing and future Runs of the LHC
Części książek na temat "L1 trigger"
Cadamuro, Luca. "The L1 Trigger". W Springer Theses, 85–127. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04055-0_4.
Pełny tekst źródłaZhang, Shi. "Does extensive L2 exposure trigger L1 attrition of perfective and durative aspect marking in Mandarin Chinese?" W Studies in Bilingualism, 256–69. Amsterdam: John Benjamins Publishing Company, 2020. http://dx.doi.org/10.1075/sibil.59.10zha.
Pełny tekst źródłaCanals, Laia. "Negotiating for meaning in interaction: differences between virtual exchanges and regular online activities". W CALL and complexity – short papers from EUROCALL 2019, 63–68. Research-publishing.net, 2019. http://dx.doi.org/10.14705/rpnet.2019.38.987.
Pełny tekst źródłaBellés-Calvera, Lucía, i Begoña Bellés-Fortuño. "Written corrective feedback with online tools in the Medicine classroom: Bombay TV". W Transforming education for a changing world, 106–19. Adaya Press, 2018. http://dx.doi.org/10.58909/ad18649332.
Pełny tekst źródłaStreszczenia konferencji na temat "L1 trigger"
Konstantinidis, Nikos. "ATLAS L1 track trigger". W VERTEX 2009 (18th workshop). Trieste, Italy: Sissa Medialab, 2010. http://dx.doi.org/10.22323/1.095.0039.
Pełny tekst źródłaRyd, Anders. "CMS L1 track trigger". W VERTEX 2009 (18th workshop). Trieste, Italy: Sissa Medialab, 2010. http://dx.doi.org/10.22323/1.095.0040.
Pełny tekst źródłaPozzobon, Nicola, Ignazio Lazzizzera, Fabio Montecassiano, R. Vari, Sandro Ventura i Pierluigi Zotto. "L1 muon trigger for HL-LHC". W INFN Workshop on Future Detectors for HL-LHC. Trieste, Italy: Sissa Medialab, 2015. http://dx.doi.org/10.22323/1.219.0030.
Pełny tekst źródłaGerbaudo, Davide. "Update ATLAS L1 Muon Trigger with sTGC: Design and Performance". W The European Physical Society Conference on High Energy Physics. Trieste, Italy: Sissa Medialab, 2014. http://dx.doi.org/10.22323/1.180.0094.
Pełny tekst źródłaMartensson, Mikael. "Fast pattern recognition of ATLAS L1 track trigger for HL-LHC". W The 25th International workshop on vertex detectors. Trieste, Italy: Sissa Medialab, 2017. http://dx.doi.org/10.22323/1.287.0069.
Pełny tekst źródłaDavignon, Olivier. "Design and performance of the upgrade of the CMS L1 trigger". W The 39th International Conference on High Energy Physics. Trieste, Italy: Sissa Medialab, 2019. http://dx.doi.org/10.22323/1.340.0198.
Pełny tekst źródłaKalinowski, A., Jan Krolikowski i Grzegorz Wrochna. "Algorithm for L1 muon trigger based on six RPC planes for the CMS experiment". W SPIE Proceedings, redaktor Ryszard S. Romaniuk. SPIE, 2004. http://dx.doi.org/10.1117/12.568872.
Pełny tekst źródłaSessa, Marco. "Performance of the ATLAS RPC detector and L1 Muon Barrel trigger at 13 TeV". W The European Physical Society Conference on High Energy Physics. Trieste, Italy: Sissa Medialab, 2022. http://dx.doi.org/10.22323/1.398.0750.
Pełny tekst źródłaVilla, M. "The L1 track trigger and high data rate acquisition system for the SLIM5 beam test". W 2009 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2009). IEEE, 2009. http://dx.doi.org/10.1109/nssmic.2009.5402251.
Pełny tekst źródłaBhowmik, Sandeep. "HPS@L1 algorithm for the upgraded CMS level-1 hadronic tau trigger for the HL-LHC". W The Eighth Annual Conference on Large Hadron Collider Physics. Trieste, Italy: Sissa Medialab, 2020. http://dx.doi.org/10.22323/1.382.0211.
Pełny tekst źródłaRaporty organizacyjne na temat "L1 trigger"
Herwig, Christian. Particle Flow at 40MHz with the CMS L1 Trigger. Office of Scientific and Technical Information (OSTI), grudzień 2019. http://dx.doi.org/10.2172/1606218.
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