37 documents found, page 1 of 4
Exploring the viability of a pseudo-Nambu-Goldstone boson as ultralight dark ma...
Morais, António P.; Oliveira, V.; Onofre, A.; Pasechnik, Roman; Santos, RuiWe study a simple extension of the Standard Model featuring a dark sector with an ultralight pseudo-Nambu-Goldstone boson as a dark matter candidate. We focus on the mass range \( \mathcal{O}(10^{-20} – 10^{-10}) \text{ eV} \), relevant for strong gravity applications, and explore its production and evolution in the early Universe. The model is formulated in such a way that dark matter does not couple directly ...
Generating gravitational waveform libraries of exotic compact binaries with dee...
Morais, António P.; Onofre, A.; Pasechnik, Roman; Radu, Eugen; Sanchis-Gual, Nicolas; Santos, Rui; Santos, Rui; Santos, RuiCurrent gravitational wave (GW) detections rely on the existence of libraries of theoretical waveforms. Consequently, finding new physics with GWs requires libraries of nonstandard models, which are computationally demanding. We discuss how deep learning frameworks can be used to generate new waveforms “learned” from a simulation dataset obtained, say, from numerical relativity simulations. Concretely, we use t...
Generating gravitational waveform libraries of exotic compact binaries with dee...
Freitas, Felipe F.; Herdeiro, Carlos A. R.; Morais, António P.; Onofre, António; Pasechnik, Roman; Radu, Eugen; Sanchis-Gual, Nicolas; Santos, RuiCurrent gravitational wave (GW) detections rely on the existence of libraries of theoretical waveforms. Consequently, finding new physics with GWs requires libraries of nonstandard models, which are computationally demanding. We discuss how deep learning frameworks can be used to generate new waveforms “learned” from a simulation dataset obtained, say, from numerical relativity simulations. Concretely, we use t...
Exploring the viability of a pseudo-Nambu-Goldstone boson as ultralight dark ma...
Morais, António P.; Oliveira, Vinícius; Onofre, António; Pasechnik, Roman; Santos, RuiWe study a simple extension of the Standard Model featuring a dark sector with an ultralight pseudo-Nambu-Goldstone boson as a dark matter candidate. We focus on the mass range O(10-20-10-10) eV, relevant for strong gravity applications, and explore its production and evolution in the early Universe. The model is formulated in such a way that dark matter does not couple directly to photons or other Standard Mod...
Generating gravitational waveform libraries of exotic compact binaries with dee...
Freitas, Felipe F.; Herdeiro, Carlos A. R.; Morais, António P.; Onofre, António; Pasechnik, Roman; Radu, Eugen; Sanchis-Gual, Nicolas; Santos, RuiCurrent gravitational wave (GW) detections rely on the existence of libraries of theoretical waveforms. Consequently, finding new physics with GWs requires libraries of nonstandard models, which are computationally demanding. We discuss how deep learning frameworks can be used to generate new waveforms "learned"from a simulation dataset obtained, say, from numerical relativity simulations. Concretely, we use th...
Deep learning searches for vector-like leptons at the LHC and electron/muon col...
Morais, Antonio P.; Onofre, A.; Freitas, Felipe F.; Goncalves, João; Pasechnik, Roman; Santos, RuiThe discovery potential of both singlet and doublet vector-like leptons (VLLs) at the Large Hadron Collider (LHC) as well as at the not-so-far future muon and electron machines is explored. The focus is on a single production channel for LHC direct searches while double production signatures are proposed for the leptonic colliders. A Deep Learning algorithm to determine the discovery (or exclusion) statistical ...
Collider phenomenology of new neutral scalars in a flavored multi-Higgs model
Ferreira, P. M.; Gonçalves, João; Morais, Antonio P.; Onofre, A.; Pasechnik, Roman; Vatellis, VasileiosIn this work, we propose and explore for the first time a new collider signature of heavy neutral scalars typically found in many distinct classes of multi-Higgs models. This signature, particularly relevant in the context of the Large Hadron Collider (LHC) measurements, is based on a topology with two charged leptons and four jets arising from first and second generation quarks. As an important benchmark scena...
Interplay between flavor anomalies and neutrino properties
Freitas, Felipe F.; Gonçalves, João; Morais, António P.; Pasechnik, Roman; Porod, WernerNo abstract available.
CDF II W-mass anomaly faces first-order electroweak phase transition
Addazi, Andrea; Marcianò, Antonino; Morais, António P.; Pasechnik, Roman; Yang, HaoWe suggest an appealing strategy to probe a large class of scenarios beyond the Standard Model simultaneously explaining the recent CDF II measurement of the W boson mass and predicting first-order phase transitions (FOPT) testable in future gravitational-wave (GW) experiments. Our analysis deploys measurements from the GW channels and high energy particle colliders. We discuss this methodology focusing on the ...
Deep learning searches for vector-like leptons at the LHC and electron/muon col...
Morais, António P.; Onofre, António; Freitas, Felipe F.; Gonçalves, João; Pasechnik, Roman; Santos, RuiThe discovery potential of both singlet and doublet vector-like leptons (VLLs) at the Large Hadron Collider (LHC) as well as at the not-so-far future muon and electron machines is explored. The focus is on a single production channel for LHC direct searches while double production signatures are proposed for the leptonic colliders. A Deep Learning algorithm to determine the discovery (or exclusion) statistical ...