Publications (17)
Thermal WIMPs and the Scale of New Physics: Global Fits of Dirac Dark Matter Effective Field Theories
The GAMBIT Collaboration, Peter Athron, Neal Avis Kozar +24
We assess the status of a wide class of WIMP dark matter (DM) models in light of the latest experimental results using the global fitting framework . We perform a…
LUX likelihood and limits on spin-independent and spin-dependent WIMP couplings with LUXCalc
Christopher Savage, Andre Scaffidi, Martin White +1
We present LUXCalc, a new utility for calculating likelihoods and deriving WIMP-nucleon coupling limits from the recent results of the LUX direct search dark matter experiment. Aft…
Rotary Masked Autoencoders are Versatile Learners
Uros Zivanovic, Serafina Di Gioia, Andre Scaffidi +3
Applying Transformers to irregular time-series typically requires specializations to their baseline architecture, which can result in additional computational overhead and increase…
The complementary of CTAO, direct detection and collider searches for dark matter in Effective Field Theories and Simplified models
Igor Reis, Andre Scaffidi, Emmanuel Moulin +1
This paper explores the sensitivity of the Cherenkov Telescope Array Observatory to dark matter annihilation in the Galactic Center, within the frameworks of Effective Field Theory…
Global fits of axion-like particles to XENON1T and astrophysical data
Peter Athron, Csaba Balázs, Ankit Beniwal +13
The excess of electron recoil events seen by the XENON1T experiment has been interpreted as a potential signal of axion-like particles (ALPs), either produced in the Sun, or consti…
A semi-supervised approach to dark matter searches in direct detection data with machine learning
Juan Herrero-Garcia, Riley Patrick, Andre Scaffidi
The dark matter sector remains completely unknown. It is therefore crucial to keep an open mind regarding its nature and possible interactions. Focusing on the case of Weakly Inter…
Global fit of pseudo-Nambu-Goldstone Dark Matter
Chiara Arina, Ankit Beniwal, Céline Degrande +2
We perform a global fit within the pseudo-Nambu-Goldstone dark matter (DM) model emerging from an additional complex scalar singlet with a softly broken global U(1) symmetry. Leadi…
Time-dependent rate of multicomponent dark matter: Reproducing the DAMA/LIBRA phase-2 results
Juan Herrero-Garcia, Andre Scaffidi, Martin White +1
The current paradigm for dark matter direct detection is to assume that the dark sector is solely composed of a single particle species. In this short paper, we make the observatio…
On the direct detection of multi-component dark matter: implications of the relic abundance
Juan Herrero-Garcia, Andre Scaffidi, Martin White +1
Recently we studied the direct detection of multi-component dark matter with arbitrary local energy densities. Although the generation of the dark matter relic abundance is model-d…
Constraining Below-threshold Radio Source Counts With Machine Learning
Elisa Todarello, Andre Scaffidi, Marco Regis +1
We propose a machine-learning-based technique to determine the number density of radio sources as a function of their flux density, for use in next-generation radio surveys. The me…
Simple and statistically sound recommendations for analysing physical theories
Shehu S. AbdusSalam, Fruzsina J. Agocs, Benjamin C. Allanach +72
Physical theories that depend on many parameters or are tested against data from many different experiments pose unique challenges to statistical inference. Many models in particle…
Top polarisation as a probe of CP-mixing top-Higgs coupling in signals
Riley Patrick, Andre Scaffidi, Pankaj Sharma
In this letter we explore beyond the Standard Model top-Higgs Yukawa couplings as a function of a CP-mixing parameter at the 14 TeV HL-LHC in the process . We obs…
Gamma rays from muons from WIMPs: Implementation of radiative muon decays for dark matter analyses
Andre Scaffidi, Katherine Freese, Jinmian Li +3
Dark matter searches in gamma ray final states often make use of the fact that photons can be produced from final state muons. Modern Monte Carlo generators and DM codes include th…
Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics
Sebastian Springer, Andre Scaffidi, Maximilian Autenrieth +4
Detecting localized differences between two samples is a central task in scientific data analysis, required for the identification of signal events, regime changes, or model mismat…
Searching for inelastic dark matter with future LHC experiments
Enrico Bertuzzo, Andre Scaffidi, Marco Taoso
We consider a dark sector containing a pair of almost degenerate states coupled to the Standard Model through a dark photon mediator. This set-up constitutes a simple realization o…
Introducing , a simple and convenient Python module for dealing with natural units
Tomas L. Howson, Andre Scaffidi
In high energy physics, the standard convention for expressing physical quantities is natural units. The standard paradigm sets and hence implicitly rescales…
On the direct detection of multi-component dark matter: sensitivity studies and parameter estimation
Juan Herrero-Garcia, Andre Scaffidi, Martin White +1
We study the case of multi-component dark matter, in particular how direct detection signals are modified in the presence of several stable weakly-interacting-massive particles. As…