From the 1 of 7 linked papers with an AI index.
7 papers
Dark Energy and Neutrino Flavor from the Weak Axion
Pedro Bittar, Carlos E. M. Wagner
The paper proposes that a weak axion, identified with the phase of an anomalous U(1)_{B+L} symmetry, can generate the tiny dark‑energy scale and links its potential to neutrino fla…
Alignment and Enhanced Multi-Higgs Production
Subhojit Roy, Carlos E. M. Wagner
Contrary to conventional expectations, we identify a class of extended scalar-sector scenarios in which final states with two, three, or four Higgs bosons constitute the leading di…
Shedding Light on Dark Matter at the LHC with Machine Learning
Ernesto Arganda, MartÃn de los Rios, Andres D. Perez +3
We investigate a WIMP dark matter (DM) candidate in the form of a singlino-dominated lightest supersymmetric particle (LSP) within the -symmetric Next-to-Minimal Supersymmetri…
R-parity violation and 8 TeV four-jet events at the LHC
Pedro Bittar, Subhojit Roy, Carlos E. M. Wagner
The CMS Collaboration at the Large Hadron Collider (LHC) has observed two four-jet events with a total invariant mass of about 8 TeV; within each event, the jets can be paired into…
Self Consistent Thermal Resummation: A Case Study of the Phase Transition in 2HDM
Pedro Bittar, Subhojit Roy, Carlos E. M. Wagner
An accurate description of the scalar potential at finite temperature is crucial for studying cosmological first-order phase transitions (FOPT) in the early Universe. At finite tem…
Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC
Ernesto Arganda, Marcela Carena, MartÃn de los Rios +4
The search for weakly interacting matter particles (WIMPs) is one of the main objectives of the High Luminosity Large Hadron Collider (HL-LHC). In this work we use Machine-Learning…