activity
20202026
most citedConstraining Light Thermal Inelastic Dark Matter with NA64

23 citations · 61 across the 13 of their papers we have counts for

collaborators

13 papers

physics.flu-dyn2026

Drag reduction and subcritical turbulence in controlled pipe flows

Emanuele Gallorini, Daniele Massaro, Philipp Schlatter +1

Pipe flow controlled by streamwise-travelling waves of azimuthal wall velocity is studied using direct numerical simulations at a bulk Reynolds number . A comprehensive…

physics.flu-dyn2026★ 1 cited

Causally coherent structures in turbulent dynamical systems

Daniele Massaro, Saleh Rezaeiravesh, Philipp Schlatter

The extraction of spatio-temporal coherence in high-dimensional, chaotic, non-linear dynamical systems, such as turbulent flows, remains a fundamental challenge in physics, mathema…

math.NA2023

Adaptive mesh refinement for global stability analysis of transitional flows

Daniele Massaro, Valerio Lupi, Adam Peplinski +1

In this work, we introduce the novel application of the adaptive mesh refinement (AMR) technique in the global stability analysis of incompressible flows. The design of an accurate…

physics.flu-dyn2023★ 4 cited

Linear stability of Poiseuille flow over a steady spanwise Stokes layer

Daniele Massaro, Fulvio Martinelli, Peter J. Schmid +1

The temporal linear stability of plane Poiseuille flow modified by spanwise forcing applied at the walls is considered. The forcing consists of a stationary streamwise distribution…

hep-ph2023★ 4 cited

A panorama of new-physics explanations to the MiniBooNE excess

Asli M. Abdullahi, Jaime Hoefken Zink, Matheus Hostert +2

The MiniBooNE low-energy excess stands as an unexplained anomaly in short-baseline neutrino oscillation experiments. It has been shown that it can be explained in the context of da…

hep-ph2023★ 1 cited

Dark matter in the Higgs resonance region

Mattia Di Mauro, Chiara Arina, Nicolao Fornengo +2

The singlet scalar Higgs portal model provides one of the simplest explanations of dark matter in our Universe. Its Higgs resonant region, , has gained pa…

hep-ph2023★ 23 cited

Constraining Light Thermal Inelastic Dark Matter with NA64

Martina Mongillo, Asli Abdullahi, Benjamin Banto Oberhauser +5

A vector portal between the Standard Model and the dark sector is a predictive and compelling framework for thermal dark matter. Through co-annihilations, models of inelastic dark…

hep-ph2023★ 1 cited

Semi-Visible Dark Photon Phenomenology at the GeV Scale

Asli M. Abdullahi, Matheus Hostert, Daniele Massaro +1

In rich dark sector models, dark photons heavier than tens of MeV can behave as semi-visible particles: their decays contain both visible and invisible final states. We present mod…

hep-ph2022

DarkNews: a Python-based event generator for heavy neutral lepton production in neutrino-nucleus scattering

Asli M. Abdullahi, Jaime Hoefken Zink, Matheus Hostert +2

We introduce DarkNews, a lightweight Python-based Monte-Carlo generator for beyond-the-Standard-Model neutrino-nucleus scattering. The generator handles the production and decay of…

cs.MS2022★ 1 cited

Large-Scale Direct Numerical Simulations of Turbulence Using GPUs and Modern Fortran

Martin Karp, Daniele Massaro, Niclas Jansson +4

We present our approach to making direct numerical simulations of turbulence with applications in sustainable shipping. We use modern Fortran and the spectral element method to lev…

hep-ex2022★ 5 cited

White Paper on Light Sterile Neutrino Searches and Related Phenomenology

M. A. Acero, C. A. Argüelles, M. Hostert +169

This white paper provides a comprehensive review of our present understanding of experimental neutrino anomalies that remain unresolved, charting the progress achieved over the las…

hep-ph2021★ 17 cited

Indirect dark-matter detection with MadDM v3.2 -- Lines and Loops

Chiara Arina, Jan Heisig, Fabio Maltoni +2

Automated tools for the computation of particle physics' processes have become the backbone of phenomenological studies beyond the standard model. Here, we present MadDM v3.2. This…

hep-ph2020★ 4 cited

Studying dark matter with MadDM 3.1: a short user guide

Chiara Arina, Jan Heisig, Fabio Maltoni +4

MadDM is an automated numerical tool for the computation of dark-matter observables for generic new physics models. We announce version 3.1 and summarize its features. Notably, the…