J. Brandstetter
A5107411550- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Cosmology and Gravitation Theories
- Computational Physics and Python Applications
- Neutrino Physics Research
- Model Reduction and Neural Networks
- Medical Imaging Techniques and Applications
- Astrophysics and Cosmic Phenomena
- Reinforcement Learning in Robotics
- Machine Learning in Bioinformatics
- Lattice Boltzmann Simulation Studies
- Neural Networks and Applications
- Distributed and Parallel Computing Systems
- Hydrology and Watershed Management Studies
- Hydrological Forecasting Using AI
- Flood Risk Assessment and Management
- Adversarial Robustness in Machine Learning
- Nuclear reactor physics and engineering
- Topic Modeling
- Black Holes and Theoretical Physics
- Magnetic confinement fusion research
- Advanced Graph Neural Networks
Technical University of Munich
2023-2024
Institute of Automation
2023
Johannes Kepler University of Linz
2019-2023
Microsoft (Netherlands)
2023
Institute of High Energy Physics
2015-2022
Helsinki Institute of Physics
2019
Atlas Copco (Germany)
2018
Austrian Academy of Sciences
2015-2017
University of Salzburg
2011-2013
University of Vienna
1999
The CMS apparatus was identified, a few years before the start of LHC operation at CERN, to feature properties well suited particle-flow (PF) reconstruction: highly-segmented tracker, fine-grained electromagnetic calorimeter, hermetic hadron strong magnetic field, and an excellent muon spectrometer. A fully-fledged PF reconstruction algorithm tuned detector therefore developed has been consistently used in physics analyses for first time collider. For each collision, comprehensive list...
This paper describes the CMS trigger system and its performance during Run 1 of LHC. The consists two levels designed to select events potential physics interest from a GHz (MHz) interaction rate proton-proton (heavy ion) collisions. first level is implemented in hardware, selects containing detector signals consistent with an electron, photon, muon, τ lepton, jet, or missing transverse energy. A programmable menu up 128 object-based algorithms used for subsequent processing. thresholds are...
New sets of parameters (“tunes”) for the underlying-event (UE) modelling pythia8, pythia6 and herwig++ Monte Carlo event generators are constructed using different parton distribution functions. Combined fits to CMS UE proton–proton ( $$\mathrm {p}\mathrm {p}$$ ) data at $$\sqrt{s} = 7\,\text {TeV} $$ proton–antiproton {p}\overline{\mathrm{p}} from CDF experiment lower $$\sqrt{s}$$ , used study models constrain their parameters, providing thereby improved predictions collisions 13 $$\,\text...
Improved jet energy scale corrections, based on a data sample corresponding to an integrated luminosity of 19.7 inverse-femtobarns collected by the CMS experiment in proton-proton collisions at center-of-mass 8 TeV, are presented. The corrections as function pseudorapidity eta and transverse momentum pT extracted from simulated events combining several channels methods. They account successively for effects pileup, uniformity detector response, residual data-simulation differences. Further...
The CMS muon detector system, reconstruction software, and high-level trigger underwent significant changes in 2013-2014 preparation for running at higher LHC collision energy instantaneous luminosity. performance of the modified system is studied using proton-proton data center-of-mass $\sqrt{s}=$ 13 TeV, collected 2015 2016. measured parameters, including spatial resolution, efficiency, timing, are found to meet all design specifications well reproduced by simulation. Despite more...
Measurements of two- and multi-particle angular correlations in pp collisions at sqrt(s) = 5, 7, 13 TeV are presented as a function charged-particle multiplicity. The data, corresponding to integrated luminosities 1.0 inverse picobarn (5 TeV), 6.2 picobarns (7 0.7 (13 were collected using the CMS detector LHC. second-order (v[2]) third-order (v[3]) azimuthal anisotropy harmonics unidentified charged particles, well v[2] K0 short Lambda/anti-Lambda extracted from long-range two-particle...
New sets of CMS underlying-event parameters ("tunes") are presented for the PYTHIA8 event generator. These tunes use NNPDF3.1 parton distribution functions (PDFs) at leading (LO), next-to-leading (NLO), or next-to-next-to-leading (NNLO) orders in perturbative quantum chromodynamics, and strong coupling evolution LO NLO. Measurements charged-particle multiplicity transverse momentum densities various hadron collision energies fit simultaneously to determine tunes. Comparisons predictions new...
The observation of the standard model (SM) Higgs boson decay to a pair bottom quarks is presented. main contribution this result from processes in which bosons are produced association with W or Z (VH), and searched for final states including 0, 1, 2 charged leptons two identified quark jets. results measurement these data sample recorded by CMS experiment 2017, comprising 41.3 fb$^{-1}$ proton-proton collisions at $\sqrt{s} =$ 13 TeV, described. When combined previous VH measurements using...
A bstract Properties of the Higgs boson are measured in H → ZZ 4ℓ (ℓ = e, μ ) decay channel. data sample proton-proton collisions at $$ \sqrt{s}=13 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msqrt><mml:mi>s</mml:mi></mml:msqrt><mml:mo>=</mml:mo><mml:mn>13</mml:mn></mml:math> TeV, collected with CMS detector LHC and corresponding to an integrated luminosity 35.9 fb −1 is used. The signal strength modifier , defined as ratio observed rate channel standard model expectation,...
A measurement of the coupling strength Higgs boson to a pair tau leptons is performed using events recorded in proton-proton collisions by CMS experiment at LHC 2016 center-of-mass energy 13 TeV. The data set corresponds an integrated luminosity 35.9 inverse femtobarns. H signal established with significance 4.9 standard deviations, be compared expected 4.7 deviations. best fit product observed production cross section and branching fraction 1.09 +0.27-0.26 times model expectation....
A search for a heavy Higgs boson in the H to WW and ZZ decay channels is reported. The based upon proton-proton collision data samples corresponding an integrated luminosity of up 5.1 inverse femtobarns at sqrt(s) = 7 TeV 19.7 8 TeV, recorded by CMS experiment CERN LHC. Several final states decays are analyzed. combined upper limit 95% confidence level on product cross section branching fraction exclude with standard model-like couplings range 145 < m[H] 1000 GeV. We also interpret results...
Results on two-particle angular correlations for charged particles produced in pp collisions at a center-of-mass energy of 13 TeV are presented. The data were taken with the CMS detector LHC and correspond to an integrated luminosity about 270 inverse nanobarns. studied over broad range pseudorapidity (abs(eta) < 2.4) full azimuth (phi) as function particle multiplicity transverse momentum (pt). In high-multiplicity events, long-range (abs(Delta eta) > 2.0), near-side (Delta phi...
A systematic study of the factorization long-range azimuthal two-particle correlations into a product single-particle anisotropies is presented as function pt and eta both particles, particle multiplicity in PbPb pPb collisions. The data were taken with CMS detector for collisions at sqrt(s[NN]) = 2.76 TeV 5.02 TeV, covering very wide range multiplicity. Factorization observed to be broken eta. When measured particles different pt, magnitude breakdown second Fourier harmonic reaches 20%...
Searches for invisible decays of the Higgs boson are presented. The data collected with CMS detector at LHC correspond to integrated luminosities 5.1, 19.7, and 2.3 inverse femtobarns centre-of-mass energies 7, 8, 13 TeV, respectively. search channels target production via gluon fusion, vector in association a boson. Upper limits placed on branching fraction decay particles, as function assumed cross sections. combination all channels, assuming standard model production, yields an observed...
Angular distributions of the decay $\mathrm{B}^0 \to \mathrm{K}^{*0} \mu^+ \mu^-$ are studied using a sample proton-proton collisions at $\sqrt{s} = $ 8 TeV collected with CMS detector LHC, corresponding to an integrated luminosity 20.5 fb$^{-1}$. An angular analysis is performed determine $P_1$ and $P_5'$ parameters, where parameter particular interest because recent measurements that indicate potential discrepancy standard model predictions. Based on 1397 signal events, parameters...
Searches for resonances decaying into pairs of jets are performed using proton-proton collision data collected at $\sqrt{s} =$ 13 TeV corresponding to an integrated luminosity up 36 fb$^{-1}$. A low-mass search, with masses between 0.6 and 1.6 TeV, is based on events dijets reconstructed the trigger level from calorimeter information. high-mass above offline a particle-flow algorithm. The dijet mass spectrum well described by smooth parameterization no evidence production new particles...
Studies of on-shell and off-shell Higgs boson production in the four-lepton final state are presented, using data from CMS experiment at LHC that correspond to an integrated luminosity 80.2 fb−1 a center-of-mass energy 13 TeV. Joint constraints set on total width parameters express its anomalous couplings two electroweak vector bosons. These results combined with those obtained collected energies 7 8 TeV, corresponding luminosities 5.1 19.7 fb−1, respectively. Kinematic information decay...
Abstract. Deep learning is becoming an increasingly important way to produce accurate hydrological predictions across a wide range of spatial and temporal scales. Uncertainty estimations are critical for actionable prediction, while standardized community benchmarks part model development research, similar tools benchmarking uncertainty estimation lacking. This contribution demonstrates that can be obtained with deep learning. We establish procedure present four baselines. Three baselines...
Most state-of-the-art approaches for weather and climate modeling are based on physics-informed numerical models of the atmosphere. These aim to model non-linear dynamics complex interactions between multiple variables, which challenging approximate. Additionally, many such computationally intensive, especially when atmospheric phenomenon at a fine-grained spatial temporal resolution. Recent data-driven machine learning instead directly solve downstream forecasting or projection task by...
In the 1990s, constant error carousel and gating were introduced as central ideas of Long Short-Term Memory (LSTM). Since then, LSTMs have stood test time contributed to numerous deep learning success stories, in particular they constituted first Large Language Models (LLMs). However, advent Transformer technology with parallelizable self-attention at its core marked dawn a new era, outpacing scale. We now raise simple question: How far do we get language modeling when scaling billions...
The angular distributions and the differential branching fraction of decay B0 to K*0(892) mu are studied using data corresponding an integrated luminosity 20.5 inverse femtobarns collected with CMS detector at LHC in pp collisions sqrt(s) = 8 TeV. From 1430 signal decays, forward-backward asymmetry muons, longitudinal polarization fraction, determined as a function dimuon invariant mass squared. measurements among most precise date good agreement standard model predictions.
No signal of new particles has been found by the CMS collaboration from Run 2 LHC at 13 TeV. This null result tightens constraints on a variety models that predict existence heavy resonant states decay into pairs jets.
A bstract Results are presented from a search for the direct electroweak production of charginos and neutralinos in signatures with either two or more leptons (electrons muons) same electric charge, three leptons, which can include up to hadronically decaying tau leptons. The results based on sample proton-proton collision data collected at $$ \sqrt{s}=13 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msqrt> <mml:mi>s</mml:mi> </mml:msqrt> <mml:mo>=</mml:mo>...