A5034356107- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Computational Physics and Python Applications
- Particle Detector Development and Performance
- Distributed and Parallel Computing Systems
- Time Series Analysis and Forecasting
- Generative Adversarial Networks and Image Synthesis
- Dark Matter and Cosmic Phenomena
- Forecasting Techniques and Applications
- Plasma and Flow Control in Aerodynamics
- Advanced Data Storage Technologies
- Cosmology and Gravitation Theories
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Black Holes and Theoretical Physics
- Advanced Neural Network Applications
- Music and Audio Processing
- Advanced Statistical Methods and Models
- Traffic Prediction and Management Techniques
- Financial Risk and Volatility Modeling
- Data Visualization and Analytics
- Autonomous Vehicle Technology and Safety
- European Political History Analysis
- Gaussian Processes and Bayesian Inference
Ingenieurgesellschaft Auto und Verkehr (Germany)
2018-2023
Durham University
2015-2020
German Research Centre for Artificial Intelligence
2018-2019
Heidelberg University
2011-2015
A major new release of the Monte Carlo event generator Herwig++ (version 3.0) is now available. This marks end distinguishing and HERWIG development therefore constitutes first version 7 Herwig family. The features a number significant improvements to simulation, including: built-in NLO hard process calculation for all Standard Model processes, with matching both angular-ordered dipole shower modules via subtractive (MC@NLO-type) multiplicative (Powheg-type) algorithms; QED radiation spin...
Abstract A new release of the Monte Carlo event generator Herwig (version 7.2) is now available. This version introduces a number improvements over major 7.0, notably: multi-jet merging with dipole shower at LO and NLO QCD; spin correlations in both angular-ordered parton showers; an improved choice evolution variable shower; to mass effects top decays shower, simulation multiple-parton interactions, including diffractive processes; model for baryonic colour reconnection; strangeness...
Time series forecasting is one of the challenging problems for humankind. Traditional methods using mean regression models have severe shortcomings in reflecting real-world fluctuations. While new probabilistic rush to rescue, they fight with technical difficulties like quantile crossing or selecting a prior distribution. To meld different strengths these fields while avoiding their weaknesses as well push boundary state-of-the-art, we introduce ForGAN - step ahead generative adversarial...
We study Higgs pair production with a subsequent decay to of photons and bottoms at the LHC. use log-likelihood ratio identify kinematic regions which either allow us separate di-Higgs signal from backgrounds or determine self-coupling. find that both are enough ensure details background modeling will not affect determination Assuming dominant statistical uncertainties we best precision self-coupling can be probed in this channel. finally comment on same questions future 100 TeV collider.
A new release of the Monte Carlo event generator Herwig (version 7.1) is now available. This version introduces a number improvements, notably: multi-jet merging with dipole shower at LO and NLO QCD; model for soft interactions diffraction; improvements to mass effects top decays in shower, as well tune hadronisation parameters.
We perform a detailed study of the sources perturbative uncertainty in parton-shower predictions within Herwig 7 event generator. benchmark two rather different algorithms, based on angular-ordered and dipole-type evolution, against each other. deliberately choose leading order plus parton shower as setting to identify controllable set uncertainties. This will enable us reliably assess improvements by higher-order contributions follow-up work.
We investigate the potential of multivariate techniques to improve LHC search for invisible Higgs decays in weak boson fusion. find that coming runs will be able probe an width 28% within a year and 3.5% during high luminosity run. A significant improvement over these estimates requires analysis QCD radiation patterns down 10 GeV. Such can reach at run 2%. Throughout our analysis, we employ conservative, data-driven background determination.
Jets plus missing transverse energy is one of the main search channels for new physics at LHC. A major limitation lies in our understanding QCD backgrounds. Using jet merging, we can describe number jets typical background terms a staircase scaling, including theory uncertainties. The scaling parameter depends on particles final state and cuts applied. Measuring will allow us to also predict effective mass standard model Based both observables, propose an analysis strategy avoiding...
The discovery of the Higgs boson marks a key ingredient to establish electroweak structure Standard Model. Its non-abelian gauge gives rise to, yet unobserved, non-perturbative baryon and lepton number violating processes. We propose use cosmic ray air showers, as measured at Pierre Auger Observatory, set limit on hadronic production cross section sphalerons. identify several observables discriminate between sphaleron QCD induced showers.
Jet emission at hadron colliders follows simple scaling patterns. Based on perturbative QCD we derive Poisson and staircase for final state as well initial radiation. Parton density effects enhance low multiplicities. We propose experimental tests of our theoretical findings in Z+jets gap jets production based minor additions to current LHC analyses.
Steering angle controller is a core module of autonomous vehicles, where slight miscalculation can cause severe accidents. Following safety precautions, development robust and precise steering predictor an active area research. However, existing simulator based predictors lack in predictive performance have not been evaluated on same benchmark datasets. Furthermore, most them are simulated datasets their potential real-world data as well cross-domain evaluation both types (real-world,...
In an era of increasingly advanced experimental analysis techniques it is crucial to understand which phase space regions contribute a signal extraction from backgrounds. Based on the Neyman-Pearson lemma we compute maximum significance for as integral over regions. We then study what degree boosted Higgs strategies benefit $ZH$ and $t\overline{t}H$ searches transverse momenta are most promising. find that top taggers appropriate tools, but would profit targeted optimization towards smaller...
We consider electroweak Higgs plus three jets production at NLO QCD beyond strict VBF acceptance cuts. investigate, for the first time, how accurate approximation is in these regions and within perturbative uncertainties by a detailed comparison of full approximate calculations. find that rapidity gap between tagging guarantees good approximation, while an invariant mass cut alone not sufficient, which needs to be confronted with experimental choices. also significant part corrections can...
A bstract Staircase and Poisson scaling are two typical patterns we observe for the exclusive number of jets at high energy hadron colliders. We examine these properties photon plus production LHC find that this channel is well suited to study features. illustrate discuss when expect each patterns, how induce a transition through kinematic cuts, photons related heavy gauge bosons. Measurements photon+jets therefore providing valuable information on jet scaling, which going help eventually...
It is well known that understanding the structure of jet radiation can significantly improve Higgs analyses. Using Fox-Wolfram moments we systematically study geometric patterns additional jets in weak boson fusion production with a decay to photons. First, find significant improvement respect standard analysis based on an tagging correlations. In addition, show replacing veto by moment extra almost doubles signal-to-background ratio. Finally, this also be achieved modified definition which...
Abstract Despite recent breakthroughs in the domain of implicit generative models, task evaluating these models remains a challenging task. With no single metric to assess overall performance, various existing metrics only offer partial information. This issue is further compounded for unintuitive data types such as time series, where manual inspection infeasible. deficiency hinders confident application modern on series data. To alleviate this problem, we propose two new metrics,...
Nonminimal composite Higgs scenarios can contain exotic states which, if observed at the Large Hadron Collider, will help to constrain underlying UV structure of strong dynamics. Doubly charged bosons are well-motivated scalar degrees freedom in this context. Their phenomenology typical differ from well-established triplet extensions SM. Related search strategies not necessarily adapted such a scenario as consequence. In paper we discuss sensitivity reach doubly with decays into pairs...
The recent developments in the machine-learning domain have enabled development of complex multivariate probabilistic forecasting models. To evaluate predictive power these methods, it is pivotal to a precise evaluation method gauge performance and predictability methods. do so, several metrics been proposed past (such as energy score, Dawid–Sebastiani variogram score); however, cannot reliably measure forecaster. Recently, CRPS-Sum has gained lot prominence reliable metric for forecasting....
Cosmic rays interacting with the atmosphere allow for probing of fundamental interactions at ultra-high energies. We thus obtain limits on strongly coupled new physics models via their imprints cosmic-ray air showers. Using Monte Carlo event generators Herwig and HERBVI, shower simulator CORSIKA, to simulate such processes, we apply machine learning algorithms simulated observables discriminate events arising from QCD background. then use signal background discrimination performance set...
Deep neural networks are black boxes by construction. Explanation and interpretation methods therefore pivotal for a trustworthy application. Existing mostly based on heatmapping focus locally determining the relevant input parts triggering network prediction. However, these struggle to uncover global causes. While this is rare case in image or NLP modality, it of high relevance time series domain. This paper presents novel framework, i.e. Conceptual Explanation, designed evaluate effect...
We investigate the behaviour of jets at high-multiplicity using analytic techniques. consider in detail rates, areas and intermediate splitting scales as a function number jets. In each case, we are able to characterise general scaling characteristic for QCD processes, which compare with results from parton shower. The study these observables potentially offers very handle difficult describe regime high-jet multiplicity.