14th Annual Meeting of the Helmholtz Alliance "Physics at the Terascale"

Europe/Berlin
Description

Due to the very dynamic Corona situation we decided to move the Terascale meeting to a fully online format. 

Welcome to the 14th Annual Helmholtz Alliance Workshop on "Physics at the Terascale"! As in the past 14 years, the workshop will offer a rich programme of stimulating plenary talks and parallel sessions full of intense discussion on topics connected to the LHC, linear colliders, and Belle.

This meeting will be organised as a fully online meeting, with all sessions organised via zoom. Connection details will be made available to registered participants shortly before the meeting. 

The following parallel sessions will be held:

  • Higgs physics (session conveners: Danyer Perez Adnan, Dominik Duda, Felix Yu)
  • Searches (session conveners: Soham Bhattacharya,  Federio Meloni, Afiq Anuar, Katharina Behr, Thorsten Ohl)
  • Top physics (session conveners: Mahsana Haleem, Alessia Saggio, Maria Vittoria Garzelli)
  • Flavor physics (session conveners: Christoph Langenbruch, Markus Röhrken, Danny van Dyk)
  • Standard Model physics (session conveners: Simone Amoroso, Joany Manjarrés Ramos, Sven-Olaf Moch)
  • Computing and Machine Learning (session conveners: Artur Gottmann, Johannes Lange, Gilson Correia Silva, Engin Eren)

Please contact the corresponding session convener if you would like to give a presentation in one of the parallel sessions.
 

Participants
  • Abhishek NAG
  • Abideh Jafari
  • Alessia Saggio
  • Alex Seuthe
  • Alexander Froehlich
  • Alexander Mann
  • Alexander Maximilian Paasch
  • Alexander Zotz
  • Alexei Raspereza
  • Alfons Weber
  • Amartya Rej
  • Ana Ventura Barroso
  • Anamika Aggarwal
  • Andre Zimermmane Castro Santos
  • Andrea Cardini
  • Andrés Melo
  • Apoorva Shah
  • Arne Gottwald
  • Aron Csaba Bodor
  • Arpan Ghosal
  • Arthur Linss
  • Artur Gottmann
  • Artur Lobanov
  • Axel Lindner
  • Bakar Chargeishvili
  • Beate Heinemann
  • Beatriz Ribeiro Lopes
  • Benjamin Rottler
  • Benno Kaech
  • Bernd Loehr
  • Binish Batool
  • Birgit Lewendel
  • Bohdan Dudar
  • Carlo Tasillo
  • Carmen Diez Pardos
  • Carsten Niebuhr
  • Christian Appelt
  • Christian Sander
  • Christian Schwanenberger
  • Christoph Garbers
  • Christoph Langenbruch
  • Christoph Wissing
  • Christophe Grojean
  • Christopher Deutsch
  • Claudia Seitz
  • Daniel Britzger
  • Daniel Christian Hundhausen
  • Daniel Heuchel
  • Daniela Käfer
  • Daniele Lombardi
  • Danny van Dyk
  • Danyer Perez Adan
  • David Walter
  • Dieter Zeppenfeld
  • Dirk Sammel
  • Dominik Duda
  • Eberhard Wünsch
  • Eckhard Elsen
  • Eftychia Tzovara
  • Elina Fuchs
  • Elisabeth Schopf
  • Elisabetta Gallo-Voss
  • Engin Eren
  • Erich Böhme
  • Fady Bishara
  • Federica Cecilia Colombina
  • Federico Vazzoler
  • Felix Paul Georg Stehr
  • Felix Yu
  • Florian Fabry
  • Frank Gaede
  • Frank Sauerburger
  • Frank Simon
  • Frederic Engelke
  • Friederike Januschek
  • Giovanni Pelliccioli
  • Gudrid Moortgat-Pick
  • Guenter Duckeck
  • Gunnar Jäkel
  • Hannah Arnold
  • Hans von der Schmitt
  • Heng Yang
  • Henning Bahl
  • Henrik Jabusch
  • Henrikas Svidras
  • Hosein Hashemi
  • Ihor Komarov
  • Ilias Tsaklidis
  • Isabell-A. Melzer-Pellmann
  • Jan van der Linden
  • Jan-Eric Heinrichs
  • Jan-Hendrik Arling
  • Jason Veatch
  • Jennifer Popp
  • Jenny List
  • Joany Manjarres
  • Jochen Kaminski
  • Joern Schwandt
  • Johannes Braathen
  • Johannes Hessler
  • Johannes Heuel
  • Johannes Lange
  • Jonas Rübenach
  • Judith Höfer
  • Juergen Reuter
  • Juhi Dutta
  • Julie Torndal
  • Jérémie Quarroz
  • Kanhaiya Gupta
  • Karsten Buesser
  • Katarzyna Wichmann
  • Katharina Behr
  • Katharina-Sophie Isleif
  • Katja Krueger
  • Kerstin Tackmann
  • Kevin Sedlaczek
  • Krisztian Peters
  • Ksenia de Leo
  • Lakshmi Pramod
  • Lars Hagge
  • Laura Moreno Valero
  • Laurids Jeppe
  • Lea Steder
  • Lucas Kemmler
  • Lucas Klein
  • Lucas Wiens
  • Lukas Grussbach
  • Magnus Schaaf
  • Mahsana Haleem
  • Mahsana Haleem
  • Malgorzata Worek
  • Malinda de Silva
  • Manuel Giffels
  • Manuel Sommerhalder
  • Marcel Niemeyer
  • Marianna Liberatore
  • Mario Arndt
  • Markus Diehl
  • Markus Roehrken
  • Markus Schumacher
  • Martin Gabelmann
  • Martin Lipinski
  • Martin Schürmann
  • Maryna Borysova
  • Marzieh Bahmani
  • Mathis Frahm
  • Matthias Kasemann
  • Matthias Schnepf
  • Matthias Schröder
  • Michael Boehler
  • Michael Düren
  • Michele Mormile
  • Mohamed Younes Sassi
  • Moritz Bauer
  • Moritz Wolf
  • Mykyta Shchedrolosiev
  • Nils Ernst Klaus Gillwald
  • Noreen Rauls
  • Olaf Behnke
  • Oleg Kuprash
  • Oleksandr Borysov
  • Oskar Grocholski
  • Patricia Rebello Teles
  • Peter Falke
  • Peter Josef Ploessl
  • Peter McKeown
  • Philip Bechtle
  • Philipp Gadow
  • Philipp König
  • Pia Bredt
  • Qingyuan Liu
  • Qun Wang
  • Rigo Bause
  • Robert Harlander
  • Roger Wolf
  • Roman Kogler
  • Rosmarie Wirth
  • Sam Van Thurenhout
  • Samuel Bein
  • Sandra Consuegra Rodriguez
  • Sascha Daniel Diefenbacher
  • Saurabh Nangia
  • Sebastian Schmitt
  • Sebastian Wiedenbeck
  • Silvia Zanoli
  • Simon Grewe
  • Simon Luca Villani
  • Simon Patrik Schnake
  • Simone Amoroso
  • Soham Bhattacharya
  • Soureek Mitra
  • Steffen Korn
  • Steffen Schumann
  • Steven Worm
  • Thomas Biekoetter
  • Thomas Kress
  • Thomas Schoerner-Sadenius
  • Thorsten Ohl
  • Ties Behnke
  • Till Martini
  • Tobias Quadfasel
  • Tommy Martinov
  • Uladzimir Khasianevich
  • Uwe Schneekloth
  • Valentina Guglielmi
  • Victor Martin Lozano
  • Vladimir Bocharnikov
  • Volodymyr Aushev
  • William Korcari
  • Wolfgang Wagner
  • Xiaocong Ai
  • Yasser Radkhorrami
  • Yubo Han
  • Zoltan Nagy
Support
  • Tuesday, November 23
    • Plenary
    • 10:30 AM
      Coffee break
    • Computing: Machine learning
      Conveners: Engin Eren (FLC (FTX Fachgruppe SFT)), Gilson Correia Silva (CMS (CMS Fachgruppe TOP))
      • 4
        Fast simulation of the CMS HGCal with Generative Models

        Accurate simulation of the interaction of particles with the detector materials is of
        utmost importance for the success of modern particle physics. Software libraries like
        GEANT4 are tools that already allow the modeling of physical processes inside detectors
        with high precision. The downside of this method is its computational cost in terms of
        time.

        Recent developments in generative machine learning models seem to provide a promising
        alternative for faster and accurate simulations to accelerate this process. We show the
        taken steps in the development of a GraphGAN for the simulation of the CMS High
        Granularity Calorimeter (HGCal) that is being developed for the High-Luminosity upgrade
        at the LHC.
        As a first result, we will show an energy regression using Graph Neural Networks.

        Speaker: Moritz Scham (CMS (CMS Fachgruppe Searches))
      • 5
        Generative Models for Fast Electromagnetic and Hadronic Shower Simulation

        Detector simulation is a key cornerstone of modern high energy physics. Traditional simulation tools are reliant upon Monte Carlo methods, which consume significant computational resources and are projected to be a major bottleneck at the high luminosity stage of the LHC and for future colliders. Calorimeter shower simulation has been a focus of fast simulation efforts, as it is particularly intensive from a computational standpoint due to a large number of particle interactions with the detector material. Deep generative models hold promise as a potential solution, offering drastic reductions in compute times.

        This contribution presents progress towards accurate simulation of particle showers in highly granular calorimeters in two directions. Firstly, initial progress on accurately simulating hadronic showers using a Wasserstein-GAN (WGAN) and a Bounded Information Bottleneck Autoencoder (BIB-AE) is demonstrated. The degree of fidelity achieved is compared before and after interfacing with a state-of-the-art pattern recognition algorithm - the Pandora Particle Flow Algorithm. Secondly, an ongoing study that seeks to extend the success of previous work, which demonstrated accurate simulation of electromagnetic showers, is presented. While the prior work focused on the specific case of a particle incident perpendicular to the calorimeter face, this study aims to additionally condition on the incident angle of the particle.

        Speaker: Peter McKeown (FTX (FTX Fachgruppe SFT))
      • 6
        Quantum Machine Learning for HEP Detectors Simulations

        Quantum Machine Learning is among others the most promising applications on near-term quantum devices which possess the potential to combat problems faster than traditional computers. Classical Machine Learning (ML) is taking up a significant role in particle physics to speed up detector simulations. Generative Adversarial Networks (GANs) have scientifically proven to achieve a similar level of accuracy compared to Monte Carlo -based simulations while decreasing the computation time by orders of magnitude. In this research we are going one step further and apply quantum computing to GAN-based detector simulations. Given the practical limitations of current quantum hardware in terms of number of qubits, connectivity, and coherence time, we perform initial tests with a simplified GAN model running on quantum simulators. The model is a classical-quantum hybrid ansatz. It consists of a quantum generator, defined as a parameterised circuit based on single and two qubit gates, and a classical discriminator network. Our initial qGAN prototype focuses on a one-dimensional toy-distribution, representing the energy deposited in a detector by a single particle. It employs three qubits and achieves high physics accuracy thanks to hyper-parameter optimisation. Furthermore, we study the influence of real hardware noise for the quantum ML GAN training. A second qGAN is developed to simulate 2D images with a 64-pixel resolution, representing the energy patterns in the detector. Different quantum ansatzes are studied. We obtained the best results using a tree tensor network architecture with six qubits. Additionally, we discuss challenges and potential benefits of quantum computing as well as our plans for future development.

        Speaker: Florian Rehm
      • 7
        Benchmark of Generative Adversarial Networks for Fast HEP Calorimeter Simulations

        Highly precise simulations of elementary particles interaction and processes are fundamental to accurately reproduce and interpret the experimental results in High Energy Physics (HEP) detectors and to correctly reconstruct the particle flows. Today, detector simulations typically rely on Monte Carlo-based methods which are extremely demanding in terms of computing resources. The need for simulated data at future experiments - like the ones that will run at the High Luminosity Large Hadron Collider (HL-LHC) - are expected to increase by orders of magnitude, increasing drastically the computational challenge. This expectation motivates the research for alternative deep learning-based simulation strategies. In this research we speed-up HEP detector simulations for the specific case of calorimeters using Generative Adversarial Networks (GANs) with a huge factor of over 150 000x compared to the standard Monte Carlo simulations. This could only be achieved by designing smart convolutional 2D network architectures for generating 3D images representing the detector volume. Detailed physics evaluation shows an accuracy similar to the Monte Carlo simulation.
        Furthermore, we quantize the data format for the neural network architecture (float32) with the Intel Low Precision Optimization tool (LPOT) to a reduced precision (int8) data format. This results in an additional $1.8$x speed-up on modern Intel hardware while maintaining the physics accuracy. These excellent results consolidate the beneficial use of GANs for future fast detector simulations.

        Speaker: Simon Schnake (DESY / RWTH Aachen)
      • 8
        IEA-GAN for the Fast Simulation of PXD Background at Belle II

        The pixel vertex detector (PXD) is the newest and the most sensitive subdetector at the Belle II. Data from the PXD and other sensors allow us to reconstruct particle tracks and decay vertices. The effect of background processes on track reconstruction is simulated by adding measured or simulated background hit patterns to the hits produced by simulated signal particles which originates from the processes of interest. This model requires a large set of statistically independent PXD background noise samples to avoid a systematic bias of reconstructed tracks. However, the fine-grained PXD data requires a substantial amount of storage. As an efficient way of producing background information for fast simulation, we introduce the idea of an on-demand PXD background generator with Intra-Event Aware GAN (IEAGAN), conditioned over the number of PXD sensors in order to produce sensor-dependent PXD images by approximating the concept of an ”event” in the detector as these PXD images share both semantic and statistical features that makes it extremely hard for even the state-of-the-art GANs to mimic these exact properties. As a result, we developed IEAGAN model which tries to capture these dependencies by imposing relational inductive bias over the batch space.

        Speaker: Hosein Hashemi (BELLE (BELLE II Experiment))
    • Flavor physics
      Conveners: Christoph Langenbruch (RWTH Aachen), Danny van Dyk (Universität Zürich), Markus Röhrken (DESY)
      • 9
        Status and prospects for $|V_{ub}|$ and $|V_{cb}|$ at Belle II
        Speaker: Moritz Bauer (BELLE (BELLE II Experiment))
      • 10
        Recent measurements of inclusive $B\to X_{u}\ell\nu$ decays at Belle
        Speaker: Lu Cao (FH (Forschung Hochenergiephysik))
      • 11
        NPointFunctions: a calculator of amplitudes and observables in FlexibleSUSY

        We present NPointFunctions, which was developed in order to obtain any desired one-loop amplitudes for an arbitrary BSM model.
        The tool aims to be customizable, modular and extensible for additional process- or amplitude- dependent contributions.
        It relies on the SARAH-generated output used with FeynArts/FormCalc packages, interfaced in an appropriate way.
        Currently, several LFV processes were already implemented and applied in different models, for example the MRSSM.
        The resulting tool became an extension to FlexibleSUSY, a spectrum generator - generator program.

        Speaker: Uladzimir Khasianevich (TU Dresden)
      • 12
        Toward a systematic parametrization of the B-meson Light-Cone Distribution Amplitude
        Speaker: Philip Lüghausen (TU München)
    • Higgs physics
      Conveners: Danyer Perez Adan (CMS (CMS Fachgruppe TOP)), Dominik Duda (Max-Planck-Institut für Physik (DE)), Felix Yu (JGU Mainz)
      • 13
        Overview of SM Higgs physics and BSM effects
        Speaker: Felix Yu (JGU Mainz)
      • 14
        Background Modelling in the ATLAS h → γγ Differential Cross Section Analysis
        Speaker: Nils Ernst Klaus Gillwald (PhD Student at DESY)
      • 15
        Overview of VH(->bb) measurements
        Speaker: Elisabeth Schopf
      • 16
        Direct constraint on the Higgs-charm coupling from a search for Higgs boson decays to charm quarks
        Speaker: Hannah Arnold (Nikhef)
      • 17
        Measurements of gluon fusion and vector-boson-fusion production of the Higgs boson in H→WW→eνμν decays
        Speaker: Anamika Aggarwal (JGU Mainz)
      • 18
        Measurement of Higgs boson production cross sections in the di-$\tau$ decay channel with the ATLAS detector and the combination with other decay channels
        Speaker: Frank Sauerburger (Uni Freiburg)
    • Physics beyond the standard model
      Conveners: Afiq Aizuddin Anuar (CMS (CMS Fachgruppe TOP)), Federico Meloni (ATLAS (ATLAS SM and Beyond)), Katharina Behr (DESY), Soham Bhattacharya (CMS (CMS Fachgruppe Searches)), Thorsten Ohl (Universität Würzburg)
      • 19
        Search for supersymmetry in single lepton events with the full Run 2 data [15'+5]
        Speaker: Frederic Engelke (CMS (CMS-Experiment))
      • 20
        What pp SUSY limits mean for future e+e-colliders [15'+5']
        Speaker: Carl Mikael Berggren (FLC (FTX Fachgruppe SLB))
      • 21
        Prospect of stau searches and measurements at the ILC [15'+5']
        Speaker: Maria Teresa Nunez Pardo De Vera (FS-EC (Experimente Control))
      • 22
        Constraints on Supersymmetry from Collider Searches and Other Experiments [15'+5']
        Speaker: Malte Mrowietz (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))
      • 23
        Lepton PDFs and Multipurpose Single Lepton Searches at the LHC [15'+'5]
        Speaker: Saurabh Nangia (BCTP, University of Bonn)
    • Standard model
      Conveners: Joany Manjarres Ramos (Technische Universität Dresden), Simone Amoroso (CMS (CMS Fachgruppe QCD)), Sven-Olaf Moch (UNI/TH (Uni Hamburg, Institut fuer Theoretische Physik))
    • Top physics

      https://desy.zoom.us/j/82321591695?pwd=TDlRemhlcUs3K1YxeThDZ0p0aTM4UT09

      Conveners: Alessia Saggio (DESY), Mahsana Haleem, Maria Vittoria Garzelli (UNI/TH (Uni Hamburg, Institut fuer Theoretische Physik))
      • 27
        Measurement and EFT interpretation of the ttbar cross section in the boosted lepton+jets channel with the ATLAS detector
        Speaker: Kevin Sedlaczek (TU Dortmund)
      • 28
        An EFT approach using top quark polarisation and spin correlations in ttbar production at the LHC
        Speaker: Andre Zimermmane Castro Santos (CMS (CMS Fachgruppe TOP))
      • 29
        Top quark pair production as a laboratory for probing anomalous top-quark couplings through electroweak loops
        Speaker: Till Martini (Humboldt-Universität zu Berlin)
      • 30
        Probing effective field theory operators in the associated production of top quarks with a Z boson in multilepton final states at 13 TeV
        Speakers: Abideh Jafari (CMS (CMS Fachgruppe TOP)), Abideh Jafari (CERN)
      • 31
        Measurement of differential ttgamma cross sections at 13 TeV with the ATLAS detector and EFT interpretation
        Speaker: Binish Batool (Ms.)
      • 32
        A Study of Top Anomalous Couplings at the FCC-ee
        Speaker: Julie Torndal (FTX (FTX Fachgruppe SLB))
    • 1:00 PM
      Lunch
    • Computing: Machine learning
      Conveners: Engin Eren (FLC (FTX Fachgruppe SFT)), Gilson Correia Silva (CMS (CMS Fachgruppe TOP))
      • 33
        CaloDVAE: Discrete Variational Autoencoders for Fast Calorimeter Shower Simulation

        Calorimeter simulation is the most computationally expensive part of Monte Carlo generation of samples necessary for analysis of experimental data at the Large Hadron Collider (LHC). The High-Luminosity upgrade of the LHC would require an even larger amount of such samples. We present a technique based on Discrete Variational Autoencoders (DVAEs) to simulate particle showers in Electromagnetic Calorimeters. We discuss how this work paves the way towards exploration of quantum annealing processors as sampling devices for generation of simulated High Energy Physics datasets.

        Speaker: Abhishek Abhishek
      • 34
        Hadronic shower substructure reconstruction with graph neural networks

        Imaging capabilities of highly granular calorimeters allow to study in detail the inner structure of hadronic showers. Reconstruction of the particle composition and properties of secondary showers in each hadronic cascade brings additional information that can be used in diferent applications. This contribution presents the graph neural network based reconstruction of electromagnetic component within a hadronic shower in the CALICE analog hadron calorimeter. Preliminary model performance, rst results on application to the hadronic energy reconstruction and prospects of segmenting distinct secondary particle components will be discussed.

        Speaker: Vladimir Bocharnikov (LPI, DESY)
      • 35
        Reconstructing the Kinematics of Deep Inelastic Scattering with Deep Learning

        In this talk I present a method to reconstruct the kinematics of neutral-current deep inelastic scattering (DIS) using a deep neural network (DNN). Unlike traditional methods, it exploits the full kinematic information of both the scattered electron and the hadronic-final state, and it accounts for QED radiation by identifying events with radiated photons and event-level momentum imbalance. The method is studied with simulated events at HERA and the future Electron-Ion Collider (EIC). We will show that the DNN method outperforms all the traditional methods over the full phase space, improving resolution and reducing bias. The DNN-base reconstruction has the potential to extend the kinematic reach of future experiments at the EIC, and thus their discovery potential in polarized and nuclear DIS.

        Speaker: Daniel Britzger (Max-Planck-Institut für Physik, München)
      • 36
        Unsupervised Anomaly Detection with CATHODE

        Despite continuous efforts by the LHC physics program as well as other experiments to conduct searches for physics beyond the standard model, no evidence has been found so far. A major disadvantage of many current searches is their reliance on specific signal and background models. Since it is impossible to cover all possible models and phase space regions with a dedicated search, the development of model-independent methods, which can be directly trained on and applied to data, is necessary.

        We propose a novel method for unsupervised anomaly detection, called CATHODE, combining neural density estimation and classification. We present the first application of this method to the LHC Olympics 2020 R&D dataset. We compare the performance of CATHODE as well as its robustness against input feature correlations to previous state-of-the-art anomaly detectors that are based on either density estimation or classification entirely.

        Speaker: Tobias Quadfasel (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))
      • 37
        Interpretable machine learning for probing kinematic shapes

        The associated production of a bb¯ pair with a Higgs boson could provide an important probe to both the size and the phase of the bottom-quark Yukawa coupling, yb. However, the signal is shrouded by several background processes including the irreducible Zh,Z→bb¯ background. We show that the analysis of kinematic shapes provides us with a concrete prescription for separating the yb-sensitive production modes from both the irreducible and the QCD-QED backgrounds using the bb¯γγ final state. We draw a page from game theory and use Shapley values to make Boosted Decision Trees interpretable in terms of kinematic measurables and provide physics insights into the variances in the kinematic shapes of the different channels that help us complete this feat. Adding interpretability to the machine learning algorithm opens up the black-box and allows us to cherry-pick only those kinematic variables that matter most in the analysis. We resurrect the hope of constraining the size and, possibly, the phase of yb using kinematic shape studies of bb¯h production with the full HL-LHC data and at FCC-hh.

        Speaker: Ayan Paul (T (Phenomenology))
    • Flavor physics
      Conveners: Christoph Langenbruch (RWTH Aachen), Danny van Dyk (Universität Zürich), Markus Röhrken (DESY)
      • 38
        Measurement of the ratio $R_{K\pi\pi}$ with LHCb
        Speaker: Johannes Heuel (RWTH Aachen)
      • 39
        Measurement of the photon energy spectrum in the inclusive hadronic tagged $B\to X_{s}\gamma$ decays at the Belle II experiment
        Speaker: Henrikas Svidras (BELLE (BELLE II Experiment))
      • 40
        Test of lepton flavour universality with $b\to s\ell^{+}\ell^{-}$ decays at LHCb
        Speaker: Alex Seuthe (Technische Universität Dortmund)
      • 41
        $B \to K \nu \bar\nu$ measurement and new physics interpretation
        Speaker: Rusa Mandal (Uni Siegen)
    • Higgs physics
      Conveners: Danyer Perez Adan (CMS (CMS Fachgruppe TOP)), Dominik Duda (Max-Planck-Institut für Physik (DE)), Felix Yu (JGU Mainz)
      • 42
        Searches for additional Higgs bosons at the LHC
        Speaker: Dominik Duda (Max-Planck-Institut für Physik (DE))
      • 43
        Search for heavy Higgs bosons decaying to top quark pairs using the CMS experiment
        Speaker: Jonas Ruebenach (DESY)
      • 44
        Search for exotic decays of the Higgs boson into two light pseudoscalars in final states with muons and tau leptons
        Speaker: Sandra Consuegra Rodriguez (CMS (CMS Fachgruppe HIGGS))
      • 45
        Forgotten decay channels of the charged Higgs boson
        Speaker: Henning Bahl (None)
      • 46
        Search for charged Higgs bosons
        Speaker: Simon Grewe (Max Planck Society (DE))
      • 47
        Constraining the CP structure of Higgs-fermion couplings with a global LHC fit, EDM and baryogenesis
        Speaker: Elina Fuchs (CERN)
    • Physics beyond the standard model
      Conveners: Afiq Aizuddin Anuar (CMS (CMS Fachgruppe TOP)), Federico Meloni (ATLAS (ATLAS SM and Beyond)), Katharina Behr (DESY), Soham Bhattacharya (CMS (CMS Fachgruppe Searches)), Thorsten Ohl (Universität Würzburg)
    • Standard model
      Conveners: Joany Manjarres Ramos (Technische Universität Dresden), Simone Amoroso (CMS (CMS Fachgruppe QCD)), Sven-Olaf Moch (UNI/TH (Uni Hamburg, Institut fuer Theoretische Physik))
      • 54
        Measurements of jet-lepton decorrelation and the 1-jettines event shape in ep collisions at high momentum transfer using the H1 detector at HERA
        Speaker: Johannes Hessler (ATLAS (LHC Experiment ATLAS))
      • 55
        Low mass Drell-Yan measurement in pp collision at sqrt(s) = 13 TeV using the ATLAS detector at the LHC
        Speaker: Alessandro Guida (ATLAS (ATLAS Standard Model Physics))
      • 56
        Jet reconstruction and calibration in CMS during Run 2
        Speaker: Andrea Malara (Uni Hamburg)
      • 57
        Interpretation of CMS 13 TeV inclusive jet data in terms of QCD and SMEFT
        Speaker: Toni Maekelae (CMS (CMS Fachgruppe QCD))
    • Top physics

      https://desy.zoom.us/j/82321591695?pwd=TDlRemhlcUs3K1YxeThDZ0p0aTM4UT09

      Conveners: Alessia Saggio (DESY), Mahsana Haleem, Maria Vittoria Garzelli (UNI/TH (Uni Hamburg, Institut fuer Theoretische Physik))
      • 58
        Top quark pair charge asymmetry in ttgamma production at 13 TeV with the ATLAS detector
        Speaker: Amartya Rej
      • 59
        Top Quark Mass Measurement with a New Profiled Likelihood Nuisance Fit
        Speaker: Christoph Andreas Garbers (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))
      • 60
        Heavy-flavor hadro-production with heavy-quark masses renormalized in the MS, MSR and on-shell schemes
        Speaker: Lucas Kemmler (UNI/TH (Uni Hamburg, Institut fuer Theoretische Physik))
      • 61
        Measurement of the top quark mass in single top events at 13 TeV
        Speaker: Soureek Mitra (Karlrsruhe Institute of Technology (KIT))
      • 62
        On non-factorisable contributions to t-channel single-top production
        Speaker: Mr Jérémie Quarroz (TTP - KIT)
      • 63
        Search for top-gluon FCNC in single top production
        Speaker: Gunnar Jäkel (Bergische Universität Wuppertal)
    • Institute Assembly
  • Wednesday, November 24
    • Computing
      Conveners: Artur Gottmann (KIT (Karlsruher Institut fuer Technologie KIT)), Johannes Lange (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))
      • 64
        Opportunistic extension of a local compute cluster with NEMO resources for HEP workflows

        Dynamically and opportunistically extending the compute resources of a HTC-Cluster (ATLAS-BFG)
        with compute resources of a HPC-Cluster (NEMO) allows one to increase the computational capabilities
        based on the demand of users and the availability of resources and as such leads to an efficient use of
        resources across boundaries of clusters and disciplines. This is completely transparent, since users are faced
        with the same software environment regardless of where their jobs are scheduled. This work illustrates how
        this is realized using the software COBalD/TARDIS. Furthermore an overview of the monitoring setup is
        given and an outlook to a potential accounting system tailored for such use cases is presented.

        Speaker: Benjamin Rottler (Universität Freiburg)
      • 65
        How to bring HTC data to HPC resources - A caching solution for the ATLAS computing environment in Freiburg

        A file caching setup to access ATLAS data was deployed for the NEMO HPC cluster in Freiburg, using
        an XRootD proxy server running in forwarding mode. This setup allows running HEP workflows without
        the need to operate a large local data storage. Several performance tests were carried out to measure any
        potential overhead caused by the caching setup with respect to direct, non-cached data access.

        Speaker: Dirk Sammel (Albert-Ludwigs-Universität Freiburg)
      • 66
        Current development on HEP computing at KIT

        Ongoing and future HEP experiments with their growing data volumes and computing power requirements pose a constant challenge for the computing model and infrastructure.
        Therefore, the HEP computing group of KIT is developing software and concepts in various projects to improve HEP computing further.
        One of these developments is the transparent integration of opportunistic resources to increase the number of resources from different providers.
        Furthermore, coordinated caching concepts in a distributed system help ensure sufficient data rate and reduce network load.
        Coordinated caches can also facilitate data management in a distributed system with automated copies and cleanups on demand.
        In addition to traditional CPU resources, KIT provides GPUs using a batch system for both local groups and Grid.
        This talk will show the status and plan of our developments on opportunistic resources, distributed caching, and GPU usage over batch systems.

        Speaker: Matthias Schnepf (KIT)
      • 67
        Preservation through modernisation: The software of the H1 experiment at HERA

        The lepton–proton collisions produced at the HERA collider represent a unique high energy physics data set. A number of years after the end of collisions, the data collected by the H1 experiment, as well as the simulated events and all software needed for reconstruction, simulation and data analysis were migrated into a preserved operational mode at DESY. A recent modernisation of the H1 software architecture has been performed, which will not only facilitate ongoing and future data analysis efforts with the new inclusion of modern analysis tools, but also ensure the long-term availability of the H1 data and associated software. The present status of the H1 software stack, the data, simulations and the currently supported computing platforms for data analysis activities are discussed.

        Speaker: Daniel Britzger (Max-Planck-Institut für Physik, München)
      • 68
        First alignment of the Run 3 CMS tracker with cosmic rays

        After the long shutdown preparing the CMS detector for Run 3, the tracker alignment constants, namely position, orientation, and curvature of each of the 15148 tracker modules that compose the tracking system need to be derived again with a high precision in order to ensure a good performance of the detector for physics analysis. This process constitutes a major computational challenge due to the enormous number of degrees of freedom involved. The latest public results of the CMS tracker alignment performance corresponding to the very first alignment with cosmic rays, derived after the work in the underground experimental cavern was finished, will be presented. The workflows, turnarounds, the so-called automated alignment, and the use of CMS CERN Analysis Facilities (CAF) for the derivation of the alignment conditions will also be discussed.

        Speaker: Daina Leyva Pernia (CMS (CMS Fachgruppe HIGGS))
    • Higgs physics
      Conveners: Danyer Perez Adan (CMS (CMS Fachgruppe TOP)), Dominik Duda (Max-Planck-Institut für Physik (DE)), Felix Yu (JGU Mainz)
    • Physics beyond the standard model
      Conveners: Afiq Aizuddin Anuar (CMS (CMS Fachgruppe TOP)), Federico Meloni (ATLAS (ATLAS SM and Beyond)), Katharina Behr (DESY), Soham Bhattacharya (CMS (CMS Fachgruppe Searches)), Thorsten Ohl (Universität Würzburg)
      • 74
        Combining Dark Matter searches with top quarks with the ATLAS detector [15'+5']
        Speaker: Marianna Liberatore (Z_ATLAS (Experiment ATLAS))
      • 75
        Reconciling Higgs physics and pseudo-Nambu-Goldstone dark matter in the S2HDM using a genetic algorithm [15'+5']
        Speaker: Thomas Biekoetter (T (Phenomenology))
      • 76
        Dark matter phenomenology in two higgs doublet models with complex scalar singlet [15'+5']
        Speaker: Juhi Dutta (UNI/TH (Uni Hamburg, Institut fuer Theoretische Physik))
      • 77
        Z'-explorer 2.0: unraveling the dark side [15'+5']
        Speaker: Victor Martin Lozano (DESY)
      • 78
        Constructing Effective Field Theories to Higher Mass Dimensions [15'+'5]
        Speaker: Magnus Schaaf (RWTH Aachen University)
      • 79
        B-Anomalies from flavorful U(1)' extensions, safely [15'+5']
        Speaker: Tim Höhne (TU Dortmund)
    • Standard model
      Conveners: Joany Manjarres Ramos (Technische Universität Dresden), Simone Amoroso (CMS (CMS Fachgruppe QCD)), Sven-Olaf Moch (UNI/TH (Uni Hamburg, Institut fuer Theoretische Physik))
      • 80
        Step: a tool to perform tests of smoothness on differential distributions
        Speaker: Patrick Connor (Uni Hamburg (Institut fur Experimentalphysik & CDCS))
      • 81
        Matching parton shower and fixed order calculations in the Deductor framework
        Speaker: Aron Bodor (DESY)
      • 82
        Complementary constraints on $Z\bar{b}b$ couplings at the LHC
        Speaker: Zhuoni Qian (DESY)
      • 83
        Two-loop splitting in double parton distributions: the colour non-singlet case
        Speaker: Peter Josef Ploessl (T (Phenomenology))
    • Top physics

      https://desy.zoom.us/j/82321591695?pwd=TDlRemhlcUs3K1YxeThDZ0p0aTM4UT09

      Conveners: Alessia Saggio (DESY), Mahsana Haleem, Maria Vittoria Garzelli (UNI/TH (Uni Hamburg, Institut fuer Theoretische Physik))
      • 84
        NLO EW and QCD corrections to off-shell ttW production at the LHC
        Speaker: Giovanni Pelliccioli (Würzburg Universität)
      • 85
        Background estimate for a ttW Cross-Section Measurement
        Speaker: Marcel Niemeyer (ATLAS (ATLAS-Experiment))
      • 86
        Measurement of the inclusive production cross sections of a top-quark pair in association with a Z boson at √s = 13 TeV in final states with three leptons using deep neural nets with the ATLAS detector
        Speaker: Steffen Korn (II Physikalisches Institut, Georg-August-Universität Göttingen)
      • 87
        Inclusive and differential cross section measurements of single top quark production in association  with a Z boson in proton-proton collisions at √s = 13 TeV
        Speaker: David Walter (CMS (CMS Fachgruppe TOP))
      • 88
        Soft Gluon Resummation for the Associated Single Top and Higgs Production at the LHC
        Speaker: Laura Moreno Valero
      • 89
        Studies of tt production with additional heavy flavour jets in pp collisions with the ATLAS detector
        Speaker: Lucas Klein (ATLAS)
      • 90
        VH production with H→bb decay at NNLO matched to parton showers
        Speaker: Silvia Zanoli (MPP)
    • 3:30 PM
      Coffee break
    • Plenary