18 documents found, page 1 of 2
Combined Measurement of the Higgs Boson Mass in pp Collisions at s =7 and 8 TeV...
Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; Abouzeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; Abulaiti, Y.Made available in DSpace on 2022-05-02T18:42:56Z (GMT). No. of bitstreams: 0 Previous issue date: 2015-05-14; A measurement of the Higgs boson mass is presented based on the combined data samples of the ATLAS and CMS experiments at the CERN LHC in the H→γγ and H→ZZ→4 decay channels. The results are obtained from a simultaneous fit to the reconstructed invariant mass peaks in the two channels and for the two exp...
Combined Measurement of the Higgs Boson Mass in pp Collisions at s =7 and 8 TeV...
Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; Abouzeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; Abulaiti, Y.Made available in DSpace on 2022-05-03T17:58:33Z (GMT). No. of bitstreams: 0 Previous issue date: 2015-05-14; A measurement of the Higgs boson mass is presented based on the combined data samples of the ATLAS and CMS experiments at the CERN LHC in the H→γγ and H→ZZ→4 decay channels. The results are obtained from a simultaneous fit to the reconstructed invariant mass peaks in the two channels and for the two exp...
Water quality on small ruminants’ dairy farms in Castelo Branco region
Mesquita, Maria da Conceição; Martins, Maria Helena; Goulão, Manuela; Pedro, R.; Martins, A.; João, I.; Rodrigues, Francisco; Pintado, Cristina SantosThe importance of providing quality water for cleaning milking machines and other equipment is perhaps one of the most overlooked factors in ensuring milk quality on most dairy farms. Water for cleaning in the dairy barn is used for different situations, including for the process of milking, which requires cleaning and disinfection of the milking equipment, the milking parlour, and the milk cooling tank. Many f...
Use of a generalized energy Mover's distance in the search for rare phenomena a...
Romão, M. Crispim; Castro, Nuno Filipe; Milhano, J. G.; Pedro, R.; Vale, T.In this paper, we expand on the previously proposed concept of energy Mover's distance. The resulting observables are shown to provide a way of identifying rare processes in proton-proton collider experiments. It is shown that different processes are grouped together differently and that this can contribute to the improvement of experimental analyses. The ttZ production at the Large Hadron Collider is used as a...
Erratum to: Finding new physics without learning about it: anomaly detection as...
Romão, M. C.; Castro, Nuno Filipe; Pedro, R.Erratum to: Finding new physics without learning about it: anomaly detection as a tool for searches at colliders (The European Physical Journal C, (2021), 81, 1, (27), 10.1140/epjc/s10052-020-08807-w)
Finding new physics without learning about it: anomaly detection as a tool for ...
Crispim Romão, M.; Castro, Nuno Filipe; Pedro, R.In this paper we propose a new strategy, based on anomaly detection methods, to search for new physics phenomena at colliders independently of the details of such new events. For this purpose, machine learning techniques are trained using Standard Model events, with the corresponding outputs being sensitive to physics beyond it. We explore three novel AD methods in HEP: Isolation Forest, Histogram-Based Outlier...
Deep learning for the classification of quenched jets
Apolinário,L.; Castro, Nuno Filipe; Romão, M. Crispim; Milhano, J. G.; Pedro, R.; Peres, F. C. R.An important aspect of the study of Quark-Gluon Plasma (QGP) in ultra-relativistic collisions of heavy ions is the ability to identify, in experimental data, a subset of the jets that were strongly modified by the interaction with the QGP. In this work, we propose studying deep learning techniques for this purpose. Samples of $Z+$jet events were simulated in vacuum and medium and used to train deep neural netwo...
Combination of the W boson polarization measurements in top quark decays using ...
Aad, G.; Abbott, B.; Abbott, D. C.; Abud, A. Abed; Abeling, K.; Abhayasinghe, D. K.; Abidi, S. H.; AbouZeid, O. S.; Abraham, N. L.; Abramowicz, H.Made available in DSpace on 2020-12-10T20:14:30Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-08-12; ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW, Austria; FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); NSERC, Canada; CFI, Canada; CONICYT, Chile; NSFC, China;...
Transferability of deep learning models in searches for new physics at colliders
Romão, M. Crispim; Castro, Nuno Filipe; Pedro, R.; Vale, T.In this work we assess the transferability of deep learning models to detect beyond the standard model signals. For this we trained deep neural networks on three different signal models: tZ production via a flavor changing neutral current, pair production of vectorlike T-quarks via standard model gluon fusion and via a heavy gluon decay in a grid of three mass points: 1, 1.2 and 1.4 TeV. These networks were tra...
Identification of boosted Higgs bosons decaying into b-quark pairs with the ATL...
Fiolhais, M. C. N.; Veloso, F.; Wolters, H.; Aguilar-Saavedra, J.A.; Santos, S. P. Amor dos; Araque, J. P.; Castro, N. F.; Muiño, P. CondeThis paper describes a study of techniques for identifying Higgs bosons at high transverse momenta decaying into bottom-quark pairs, H→ bb¯ , for proton–proton collision data collected by the ATLAS detector at the Large Hadron Collider at a centre-of-mass energy s=13 TeV. These decays are reconstructed from calorimeter jets found with the anti-ktR= 1.0 jet algorithm. To tag Higgs bosons, a combination of requir...