Searches for beyond the Standard Model physics with boosted topologies in the ATLAS experiment using the Grid-based Tier-3 facility at IFIC-Valencia
Notice bibliographique
Résumé
Both the LHC and ATLAS have been performing well beyond expectation since the start of the data taking by the end of 2009. Since then, several thousands of millions of collision events have been recorded by the ATLAS experiment. With a data taking efficiency higher than 95% and more than 99% of its channels working, ATLAS supplies data with an unmatched quality. In order to analyse the data, the ATLAS Collaboration has designed a distributed computing model based on GRID technologies. The ATLAS computing model and its evolution since the start of the LHC is discussed in section 3.1. The ATLAS computing model groups the different types of computing centers of the ATLAS Collaboration in a tiered hierarchy that ranges from Tier-0 at CERN, down to the 11 Tier-1 centers and the nearly 80 Tier-2 centres distributed world wide. The Spanish Tier-2 activities during the first years of data taking are described in section 3.2. Tier-3 are institution-level non-ATLAS funded or controlled centres that participate presumably most frequently in support of the particular interests of local physicists. Sections 3.3 and 3.4 cover IFIC-Valencia Tier-3 prototype, its design, deployment and performance. As the LHC explores a new energy regime, heavy Standard Model particles like the W and Z gauge bosons and the top quark are frequently produced with a momentum that considerably exceeds their mass. Only a handful of $t\bar{t}$ pairs with a mass over 1 TeV were created at the Tevatron. In the $\sim 20~fb^{-1}$ of proton-proton collisions at 8 TeV of the first run of the LHC there are tens of thousands of $t\bar{t}$ pairs, and they will be counted by the millions when the LHC reaches its 14 TeV design energy after the 2013-2014 shutdown. These objects are already a crucial part of the physics programme of the LHC and their importance is bound to increase in the future. The Lorentz boost of these particles alters the observed topology in an important way. The partons from the decay of the boosted particle are collimated into a smaller area and standard jet algorithms no longer resolve the resulting partons individually. The decay products are merged within a single jet. Highly boosted objects thus represent a challenge to the conventional object identication and isolation criteria, that were developed primarily for particles approximately at rest in the laboratory frame. Rather than trying to resolve the jets individually, the complete decay is reconstructed as a single fat jet. The composite nature of the jet is revealed by an analysis of the substructure of the jet. The first measurement of the invariant mass and $k_t$ splitting scales of fat anti-$k_t$ jets and the use of these variables to identify the first boosted top quarks ever seen is shown in chapter 4. Several models of new physics beyond the Standard Model predict new resonances strongly coupled to the top quark. A well known example is the leptophobic resonance in topcolor models. More recent proposals predict a heavy partner of the gluon in certain models with additional spatial dimensions. These Kaluza Klein gluons do not couple to leptons, and the quarks of the third family are favourite compared to lighter quarks. $t\bar{t}$ resonances are the main signal used in searches for these models. Therefore, the study of boosted top quark topologies and jet substructure plays a crucial role as a tool for discovery. Chapter 5 constitutes the first application of the boosted paradigm in ATLAS data. This effort has been able to push the limits on the benchmark models used further up proving that reconstruction techniques aimed at boosted objects can greatly enhance the potential of searches for new physics beyond the SM in the LHC.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».