429 citations · 3.3k across the 66 of their papers we have counts for
68 papers
What has the LHC told us about the electroweakino sector of the Minimal Supersymmetric Standard Model?
Peter Athron, Csaba Balázs, Andy Buckley +19
We perform global fits of the electroweak sector of the Minimal Supersymmetric Standard Model (MSSM) using a comprehensive set of LEP searches, 34 Run 2 LHC searches, and 63 Run 2…
BGRem: A background noise remover for astronomical images based on a diffusion model
Rodney Nicolaas, Sascha Caron, Fiorenzo Stoppa +4
Context: Astronomical imaging aims to maximize signal capture while minimizing noise. Enhancing the signal-to-noise ratio directly on detectors is difficult and expensive, leading…
Hits to Higgs: Hit-Level Higgs Classification from Raw LHC Detector Data Using Higgsformer
Sascha Caron, Polina Moskvitina, Roberto Ruiz de Austri +1
We present Higgsformer, a transformer-based architecture that classifies Higgs events at the Large Hadron Collider directly from raw inner tracker hits, bypassing the traditional r…
Universal Anomaly Detection at the LHC: Transforming Optimal Classifiers and the DDD Method
Sascha Caron, José Enrique García Navarro, María Moreno Llácer +5
In this work, we present a novel approach to transform supervised classifiers into effective unsupervised anomaly detectors. The method we have developed, termed Discriminatory Det…
Insights into Dark Matter Direct Detection Experiments: Decision Trees versus Deep Learning
Daniel E. Lopez-Fogliani, Andres D. Perez, Roberto Ruiz de Austri
The detection of Dark Matter (DM) remains a significant challenge in particle physics. This study exploits advanced machine learning models to improve detection capabilities of liq…
MoEDAL search in the CMS beam pipe for magnetic monopoles produced via the Schwinger effect
B. Acharya, J. Alexandre, S. C. Behera +64
We report on a search for magnetic monopoles (MMs) produced in ultraperipheral Pb--Pb collisions during Run-1 of the LHC. The beam pipe surrounding the interaction region of the CM…
Search for Highly-Ionizing Particles in pp Collisions During LHC Run-2 Using the Full MoEDAL Detector
MoEDAL Collaboration
This search for Magnetic Monopoles (MMs) and High Electric Charge Objects (HECOs) with spins 0, 1/2 and 1, uses for the first time the full MoEDAL detector, exposed to 6.6 fb^-1 pr…
AutoSourceID-Classifier. Star-Galaxy Classification using a Convolutional Neural Network with Spatial Information
F. Stoppa, S. Bhattacharyya, R. Ruiz de Austri +10
Aims. Traditional star-galaxy classification techniques often rely on feature estimation from catalogues, a process susceptible to introducing inaccuracies, thereby potentially jeo…
New energy spectra in neutrino and photon detectors to reveal hidden dark matter signals
Wim Beenakker, Sascha Caron, Jochem Kip +2
Neutral particles capable of travelling cosmic distances from a source to detectors on Earth are limited to photons and neutrinos. Examination of the Dark Matter annihilation/decay…
Gradient-Annihilated PINNs for Solving Riemann Problems: Application to Relativistic Hydrodynamics
Antonio Ferrer-Sánchez, José D. Martín-Guerrero, Roberto Ruiz de Austri +2
We present a novel methodology based on Physics-Informed Neural Networks (PINNs) for solving systems of partial differential equations admitting discontinuous solutions. Our method…
AutoSourceID-FeatureExtractor. Optical image analysis using a two-step mean variance estimation network for feature estimation and uncertainty characterisation
F. Stoppa, R. Ruiz de Austri, P. Vreeswijk +9
Aims. In astronomy, machine learning has been successful in various tasks such as source localisation, classification, anomaly detection, and segmentation. However, feature regress…
Attention to the strengths of physical interactions: Transformer and graph-based event classification for particle physics experiments
Luc Builtjes, Sascha Caron, Polina Moskvitina +4
A major task in particle physics is the measurement of rare signal processes. Even modest improvements in background rejection, at a fixed signal efficiency, can significantly enha…
Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics
Dominique J. Kösters, Bryan A. Kortman, Irem Boybat +10
The massive use of artificial neural networks (ANNs), increasingly popular in many areas of scientific computing, rapidly increases the energy consumption of modern high-performanc…
Non-Standard Neutrino Spectra From Annihilating Neutralino Dark Matter
Melissa van Beekveld, Wim Beenakker, Sascha Caron +3
Neutrino telescope experiments are rapidly becoming more competitive in indirect detection searches for dark matter. Neutrino signals arising from dark matter annihilations are typ…
AutoSourceID-Light. Fast Optical Source Localization via U-Net and Laplacian of Gaussian
Fiorenzo Stoppa, Paul Vreeswijk, Steven Bloemen +9
. With the ever-increasing survey speed of optical wide-field telescopes and the importance of discovering transients when they are still young, rapid and reliable s…
The new and Right-Handed Sneutrino Dark Matter
Jong Soo Kim, Daniel E. Lopez-Fogliani, Andres D. Perez +1
In this paper we investigate the discrepancy in the context of the R-parity conserving next-to-minimal supersymmetric Standard Model plus right-handed neutrinos superfiel…
First experimental search for production of magnetic monopoles via the Schwinger mechanism
B. Acharya, J. Alexandre, P. Benes +64
Schwinger showed that electrically-charged particles can be produced in a strong electric field by quantum tunnelling through the Coulomb barrier. By electromagnetic duality, if ma…
Identification of point sources in gamma rays using U-shaped convolutional neural networks and a data challenge
Boris Panes, Christopher Eckner, Luc Hendriks +5
At GeV energies, the sky is dominated by the interstellar emission from the Galaxy. With limited statistics and spatial resolution, accurately separating point sources is therefore…
Combining outlier analysis algorithms to identify new physics at the LHC
Melissa van Beekveld, Sascha Caron, Luc Hendriks +7
The lack of evidence for new physics at the Large Hadron Collider so far has prompted the development of model-independent search techniques. In this study, we compare the anomaly…
Prospects for discovering supersymmetric long-lived particles with MoEDAL
D. Felea, J. Mamuzic, R. Masełek +7
We present a study on the possibility of searching for long-lived supersymmetric partners with the MoEDAL experiment at the LHC. MoEDAL is sensitive to highly ionising objects such…
Probing the sterile neutrino portal to Dark Matter with rays
Miguel G. Folgado, Germán A. Gómez-Vargas, Nuria Rius +1
Sterile neutrinos could provide a link between the Standard Model particles and a dark sector, besides generating active neutrino masses via the seesaw mechanism type I. We show th…
Extended Higgs-portal dark matter and the Fermi-LAT Galactic Center Excess
J. A. Casas, G. A. Gomez-Vargas, J. M. Moreno +2
We show that the Galactic Center Excess (GCE) emission, as recently updated by the Fermi-LAT Collaboration, could be explained by the sum of Fermi-bubbles-like emission plus dark m…
Implications of the Fermi-LAT Pass 8 Galactic Center Excess on Supersymmetric Dark Matter
Abraham Achterberg, Melissa van Beekveld, Sascha Caron +3
The Fermi Collaboration has recently updated their analysis of gamma rays from the center of the Galaxy. They reconfirm the presence of an unexplained emission feature which is mos…
Analyzing γ-rays of the Galactic Center with Deep Learning
Sascha Caron, Germán A. Gómez-Vargas, Luc Hendriks +1
We present a new method to interpret the -ray data of our inner Galaxy as measured by the Fermi Large Area Telescope (Fermi LAT). We train and test convolutional neural networks…