260 citations · 2.1k across the 41 of their papers we have counts for
45 papers
UFO Sightings with Matchete: Connecting BSM Lagrangians with Event Generators
Luis Hourtz, Tamilarasan Ketheeswaran, Michael Krämer +3
We present a tool for the automated generation of Universal Feynman Output (UFO) files, used as input by many event generators, for generic Beyond the Standard Model (BSM) theories…
Domain Adaptation against Background Sculpting in Anomaly Detection at the LHC
Vincent Benne, Marie Hein, Michael Krämer +3
Weakly supervised anomaly detection has been shown to be an effective tool for model-agnostic searches for new physics, especially in the context of resonance searches. However, co…
Neural Scaling Laws for Jet Generation
Oz Amram, Darius A. Faroughy, Tjarko Gerdes +5
Recently observed empirical scaling laws describe the performance of foundation-type models as three independent key quantities -- dataset size, compute, and model parameters -- ar…
Toward a Comprehensive Exploration of Flavored Dark Matter Models
Benedetta Belfatto, Monika Blanke, Jan Heisig +3
We present a comprehensive framework for the study of flavored dark matter models, combining relic density calculations with direct and indirect detection limits, collider constrai…
arkRayNet: Emulation of cosmic-ray antideuteron fluxes from dark matter
Jan Heisig, Michael Korsmeier, Michael Krämer +2
Cosmic-ray antimatter, particularly low-energy antideuterons, serves as a sensitive probe of dark matter annihilating in our Galaxy. We study this smoking-gun signature and explore…
NNLL-fast 2.0: Coloured Sparticle Production at the LHC Run 3 with = 13.6 TeV
Wim Beenakker, Christoph Borschensky, Michael Krämer +4
We report on updated precision predictions for total cross sections of coloured supersymmetric particle production at the LHC with a centre-of-mass energy of = 13.6 TeV,…
Flavoured Majorana Dark Matter then and now: From freeze-out scenarios to LHC signatures
Harun Acaroğlu, Monika Blanke, Jan Heisig +2
We study a simplified Dark Matter model in the Dark Minimal Flavour Violation framework. Our model complements the Standard Model with a flavoured Dark Matter Majorana triplet and…
Semi-visible jets, energy-based models, and self-supervision
Luigi Favaro, Michael Krämer, Tanmoy Modak +2
We present DarkCLR, a novel framework for detecting semi-visible jets at the LHC. DarkCLR uses a self-supervised contrastive-learning approach to create observables that are approx…
Comprehensive exploration of t-channel simplified models of dark matter
Chiara Arina, Benjamin Fuks, Jan Heisig +3
We analyse six classes of t-channel dark matter simplified models in which the Standard Model field content is extended by a coloured mediator and a dark matter state. The two new…
Searching for dark matter subhalos in the Fermi-LAT catalog with Bayesian neural networks
Anja Butter, Michael Krämer, Silvia Manconi +1
About a third of the -ray sources detected by the Fermi Large Area Telescope (Fermi-LAT) remain unidentified, and some of these could be exotic objects such as dark matter subha…
Learning the language of QCD jets with transformers
Thorben Finke, Michael Krämer, Alexander Mück +1
Transformers have become the primary architecture for natural language processing. In this study, we explore their use for auto-regressive density estimation in high-energy jet phy…
A Normalized Autoencoder for LHC Triggers
Barry M. Dillon, Luigi Favaro, Tilman Plehn +2
Autoencoders are an effective analysis tool for the LHC, as they represent one of its main goal of finding physics beyond the Standard Model. The key challenge is that out-of-distr…
Boosting mono-jet searches with model-agnostic machine learning
Thorben Finke, Michael Krämer, Maximilian Lipp +1
We show how weakly supervised machine learning can improve the sensitivity of LHC mono-jet searches to new physics models with anomalous jet dynamics. The Classification Without La…
What's Anomalous in LHC Jets?
Thorsten Buss, Barry M. Dillon, Thorben Finke +5
Searches for anomalies are a significant motivation for the LHC and help define key analysis steps, including triggers. We discuss specific examples how LHC anomalies can be define…
Classification of Fermi-LAT blazars with Bayesian neural networks
Anja Butter, Thorben Finke, Felicitas Keil +2
The use of Bayesian neural networks is a novel approach for the classification of gamma-ray sources. We focus on the classification of Fermi-LAT blazar candidates, which can be div…
Constraining dark matter annihilation with cosmic ray antiprotons using neural networks
Felix Kahlhoefer, Michael Korsmeier, Michael Krämer +2
The interpretation of data from indirect detection experiments searching for dark matter annihilations requires computationally expensive simulations of cosmic-ray propagation. In…
Exotic energy injection with ExoCLASS: Application to the Higgs portal model and evaporating black holes
Patrick Stöcker, Michael Krämer, Julien Lesgourgues +1
We devise a new user-friendly tool interfaced with the Boltzmann code CLASS to deal with any kind of exotic electromagnetic energy injection in the universe and its impact on aniso…
Constraining heavy dark matter with cosmic-ray antiprotons
Alessandro Cuoco, Jan Heisig, Michael Korsmeier +1
Cosmic-ray observations provide a powerful probe of dark matter annihilation in the Galaxy. In this paper we derive constraints on heavy dark matter from the recent precise AMS-02…
Probing dark matter annihilation in the Galaxy with antiprotons and gamma rays
Alessandro Cuoco, Jan Heisig, Michael Korsmeier +1
A possible hint of dark matter annihilation has been found in Cuoco, Korsmeier and Krämer (2017) from an analysis of recent cosmic-ray antiproton data from AMS-02 and taking into a…
SCYNet: Testing supersymmetric models at the LHC with neural networks
Philip Bechtle, Sebastian Belkner, Daniel Dercks +6
SCYNet (SUSY Calculating Yield Net) is a tool for testing supersymmetric models against LHC data. It uses neural network regression for a fast evaluation of the profile likelihood…
Constraints on leptophilic dark matter from the AMS-02 experiment
Leila Ali Cavasonza, Henning Gast, Michael Krämer +2
The annihilation of dark matter particles in the galactic halo of the Milky Way may lead to cosmic ray signatures that can be probed by the AMS-02 experiment, which has measured th…
Novel dark matter constraints from antiprotons in the light of AMS-02
Alessandro Cuoco, Michael Krämer, Michael Korsmeier
We evaluate dark matter (DM) limits from cosmic-ray antiproton observations using the recent precise AMS-02 measurements. We properly take into account cosmic-ray propagation uncer…
Complementarity of Resonant Scalar, Vector-Like Quark and Superpartner Searches in Elucidating New Phenomena
Anke Biekötter, JoAnne L. Hewett, Jong Soo Kim +5
The elucidation of the nature of new phenomena requires a multi-pronged approach to understand the essential physics that underlies it. As an example, we study the simplified model…
NNLL-fast: predictions for coloured supersymmetric particle production at the LHC with threshold and Coulomb resummation
Wim Beenakker, Christoph Borschensky, Michael Krämer +2
We present state-of-the art predictions for the production of supersymmetric squarks and gluinos at the Large Hadron Collider (LHC), including soft-gluon resummation up to next-to-…