Author
Giacomo Cacciapaglia
Other affiliations: University of Lyon, Centre national de la recherche scientifique
Bio: Giacomo Cacciapaglia is an academic researcher from Claude Bernard University Lyon 1. The author has contributed to research in topics: Higgs boson & Large Hadron Collider. The author has an hindex of 24, co-authored 72 publications receiving 2030 citations. Previous affiliations of Giacomo Cacciapaglia include University of Lyon & Centre national de la recherche scientifique.
Papers published on a yearly basis
Papers
More filters
TL;DR: The final report of the ATLAS-CMS Dark Matter Forum, a forum organized by ATLAS and CMS collaborations with the participation of experts on theories of dark matter, to select a minimal basis set of simplified models that should support the design of the early LHC Run-2 searches is presented in this paper.
Abstract: This document is the final report of the ATLAS-CMS Dark Matter Forum, a forum organized by the ATLAS and CMS collaborations with the participation of experts on theories of Dark Matter, to select a minimal basis set of dark matter simplified models that should support the design of the early LHC Run-2 searches. A prioritized, compact set of benchmark models is proposed, accompanied by studies of the parameter space of these models and a repository of generator implementations. This report also addresses how to apply the Effective Field Theory formalism for collider searches and present the results of such interpretations.
235 citations
TL;DR: In this article, a model-independent and general framework was proposed to study the LHC phenomenology of top partners, i.e. vector-like quarks including particles with different electromagnetic charge.
211 citations
TL;DR: In this article, the authors employ the epidemic Renormalization Group (eRG) approach to pandemics, together with the first wave data for COVID-19, to efficiently simulate the dynamics of disease transmission and spreading across different European countries.
Abstract: A second wave pandemic constitutes an imminent threat to society, with a potentially immense toll in terms of human lives and a devastating economic impact. We employ the epidemic Renormalisation Group (eRG) approach to pandemics, together with the first wave data for COVID-19, to efficiently simulate the dynamics of disease transmission and spreading across different European countries. The framework allows us to model, not only inter and extra European border control effects, but also the impact of social distancing for each country. We perform statistical analyses averaging on different level of human interaction across Europe and with the rest of the World. Our results are neatly summarised as an animation reporting the time evolution of the first and second waves of the European COVID-19 pandemic. Our temporal playbook of the second wave pandemic can be used by governments, financial markets, the industries and individual citizens, to efficiently time, prepare and implement local and global measures.
209 citations
Massachusetts Institute of Technology1, Texas Tech University2, University of Geneva3, CERN4, University of Strasbourg5, École normale supérieure de Lyon6, Université de Montréal7, Université catholique de Louvain8, University of Wisconsin-Madison9, Ohio State University10, University of Southampton11, University of Melbourne12, Imperial College London13, Rutgers University14, Claude Bernard University Lyon 115, University of California, Santa Cruz16, University of Porto17, University of Chicago18, University of California, Berkeley19, University of Zurich20, University of California, Irvine21, Lund University22, University of California, Davis23, University of Bristol24, Fermilab25, University of Grenoble26, Austrian Academy of Sciences27, Northwestern University28, University of Oxford29, RWTH Aachen University30, University of Malaya31, University of Washington32, Harvard University33, Durham University34, National Central University35, Chung-Ang University36, University of Tokyo37, Vrije Universiteit Brussel38, University of Auvergne39, University of Amsterdam40, Sao Paulo State University41, Stockholm University42, Lawrence Berkeley National Laboratory43, Carnegie Mellon University44, University of Padua45, SLAC National Accelerator Laboratory46, University of Vienna47, Quaid-i-Azam University48, Max Planck Society49, University of Naples Federico II50, University of Copenhagen51, University of Hamburg52, Chulalongkorn University53, Cornell University54, Northeastern University55, Rutherford Appleton Laboratory56, Université libre de Bruxelles57, Centre national de la recherche scientifique58
TL;DR: The final report of the ATLAS-CMS Dark Matter Forum, a forum organized by ATLAS and CMS collaborations with the participation of experts on theories of dark matter, to select a minimal basis set of simplified models that should support the design of the early LHC Run-2 searches is presented in this paper.
198 citations
TL;DR: In this article, the authors explore the theory space of compositeness models with top partners and find that all of them contain a singlet, $a$, which couples to Standard Model gauge bosons via Wess-Zumino-Witten interactions, thus providing a resonance in the diboson at the LHC.
Abstract: Models of compositeness can successfully address the origin of the Higgs boson, as a pseudo-Nambu-Goldstone boson (pNGB) of a spontaneously broken global symmetry, and flavor physics via the partial compositeness mechanism. If the dynamics is generated by a confining gauge group with fermionic matter content, there exists only a finite set of models that have the correct properties to account for the Higgs and top partners at the same time. In this paper, we explore the theory space of this class of models; remarkably, all of them contain---beyond the pNGB Higgs---a pNGB singlet, $a$, which couples to Standard Model gauge bosons via Wess-Zumino-Witten interactions, thus providing naturally a resonance in the diboson at the LHC. With the assumption that the recently reported diphoton excess at 750 GeV at the LHC arises from the $a$ resonance, we propose a generic approach on how to delineate the best candidate for composite Higgs models with top partners. We find that constraints from other diboson searches severely reduce the theory space of the models under consideration. For the models which can explain the diphoton excess, we make precise and testable predictions for the width and other diboson resonance searches.
101 citations
Cited by
More filters
TL;DR: The Pythia program as mentioned in this paper can be used to generate high-energy-physics ''events'' (i.e. sets of outgoing particles produced in the interactions between two incoming particles).
Abstract: The Pythia program can be used to generate high-energy-physics ''events'', i.e. sets of outgoing particles produced in the interactions between two incoming particles. The objective is to provide as accurate as possible a representation of event properties in a wide range of reactions, within and beyond the Standard Model, with emphasis on those where strong interactions play a role, directly or indirectly, and therefore multihadronic final states are produced. The physics is then not understood well enough to give an exact description; instead the program has to be based on a combination of analytical results and various QCD-based models. This physics input is summarized here, for areas such as hard subprocesses, initial- and final-state parton showers, underlying events and beam remnants, fragmentation and decays, and much more. Furthermore, extensive information is provided on all program elements: subroutines and functions, switches and parameters, and particle and process data. This should allow the user to tailor the generation task to the topics of interest.
6,300 citations
TL;DR: The current status of particle dark matter, including experimental evidence and theoretical motivations, including direct and indirect detection techniques, is discussed in this paper. But the authors focus on neutralinos in models of supersymmetry and Kaluza-Klein dark matter in universal extra dimensions.
4,614 citations
01 Apr 2003
TL;DR: In this paper, the authors measured the flux of neutrino from distant nuclear reactors and found fewer nu;(e) events than expected from standard assumptions about nu; (e) propagation at the 99.95% C.L.yr exposure.
Abstract: KamLAND has measured the flux of nu;(e)'s from distant nuclear reactors. We find fewer nu;(e) events than expected from standard assumptions about nu;(e) propagation at the 99.95% C.L. In a 162 ton.yr exposure the ratio of the observed inverse beta-decay events to the expected number without nu;(e) disappearance is 0.611+/-0.085(stat)+/-0.041(syst) for nu;(e) energies >3.4 MeV. In the context of two-flavor neutrino oscillations with CPT invariance, all solutions to the solar neutrino problem except for the "large mixing angle" region are excluded.
1,659 citations
01 Feb 2021
TL;DR: Amongst vaccine attitudes, intermediate to high levels of mistrust of vaccine benefit and concerns about future unforeseen side effects were the most important determinants of both uncertainty and unwillingness to vaccinate against COVID-19.
Abstract: Background: Negative attitudes towards vaccines and an uncertainty or unwillingness to receive vaccinations are major barriers to managing the COVID-19 pandemic in the long-term. We estimate predictors of four domains of negative attitudes towards vaccines and identify groups most at risk of uncertainty and unwillingness to receive a COVID-19 vaccine in a large sample of UK adults. Methods: Data were cross-sectional and from 32,361 adults in the UCL COVID-19 Social Study. Ordinary least squares regression analyses examined the impact of socio-demographic and COVID-19 related factors on four types of negative vaccine attitudes: mistrust of vaccine benefit, worries about unforeseen effects, concerns about commercial profiteering, and preference for natural immunity. Multinomial regression examined the impact of socio-demographic and COVID-19 related factors, negative vaccine attitudes, and prior vaccine behaviour on uncertainty and unwillingness to be vaccinated for COVID-19. Findings: 16% of respondents displayed high levels of mistrust about vaccines across one or more domains. Distrustful attitudes towards vaccination were higher amongst individuals from ethnic minority backgrounds, with lower levels of education, lower annual income, poor knowledge of COVID-19, and poor compliance with government COVID-19 guidelines. Overall, 14% of respondents reported unwillingness to receive a vaccine for COVID-19, whilst 23% were unsure. The largest predictors of both COVID-19 vaccine uncertainty and refusal were low-income groups (< 16,000, a year), having not received a flu vaccine last year, poor adherence to COVID-19 government guidelines, female gender, and living with children. Amongst vaccine attitudes, intermediate to high levels of mistrust of vaccine benefit and concerns about future unforeseen side effects were the most important determinants of both uncertainty and unwillingness to vaccinate against COVID-19. Interpretation: Negative attitudes towards vaccines are a major public health concern in the UK. General mistrust in vaccines and concerns about future side effects in particular will be barriers to achieving population immunity to COVID-19 through vaccination. Public health messaging should be tailored to address these concerns and specifically to women, ethnic minorities, and people with lower levels of education and incomes. Funding: The Nuffield Foundation [WEL/FR-000022583], the MARCH Mental Health Network funded by the Cross-Disciplinary Mental Health Network Plus initiative supported by UK Research and Innovation [ES/S002588/1], and the Wellcome Trust [221400/Z/20/Z and 205407/Z/16/Z].
641 citations
TL;DR: In this article, a detailed analysis of simplified models is presented for the correlation between the muon anomalous magnetic moment (g − 2 ) and the quest for lepton flavor violation are intimately correlated.
502 citations