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ACAT 2019

10โ€“15 Mar 2019
Steinmatte conference center
Europe/Zurich timezone

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Session

Plenary

Monday morning
11 Mar 2019, 09:00
Steinmatte conference center

Steinmatte conference center

Hotel Allalin, Saas Fee, Switzerland https://allalin.ch/conference/

Conveners

Plenary: Opening

  • Federico Carminati (CERN)

Plenary: Plenary

  • Fons Rademakers (CERN)

Plenary

  • Maria Girone (CERN)

Plenary

  • Andrey Arbuzov (Joint Institute for Nuclear Research (JINR))

Plenary

  • David Britton (University of Glasgow (GB))

Plenary

  • Jerome LAURET (Brookhaven National Laboratory)

Plenary

  • Gudrun Heinrich (Max Planck Institute for Physics)

Plenary

  • Gang CHEN (INSTITUTE OF HIGH ENERGY PHYSICS)

Plenary

  • Gordon Watts (University of Washington (US))

Plenary

  • Monique Werlen (EPFL - Ecole Polytechnique Federale Lausanne (CH))

Presentation materials

Day 2 Intro.pdf
Day 2 Intro.pptx
Day 3 Intro.pdf
Day 3 Intro.pptx
Day 4 Intro.pdf
Day 4 Intro.pptx
Day 5 Intro.pdf
Day 5 Intro.pptx
  1. 491. Welcome to ACAT 2019 in Saas Fee!
    Federico Carminati (CERN)
    11/03/2019, 09:00
    Plenary
  2. 492. Denis Perret-Gallix (1949-2018)
    Monique Werlen (EPFL - Ecole Polytechnique Federale Lausanne (CH))
    11/03/2019, 09:10
    Track 1: Computing Technology for Physics Research
    Plenary
  3. 488. Computer algebra in physics research: algorithms, systems and modern developments
    Stanislav Poslavskii (Institute for High Energy Physics of NRC Kurchatov Institute (R)
    11/03/2019, 09:30
    Track 3: Computations in Theoretical Physics: Techniques and Methods
    Oral

    Computer algebra is one of a key tools in modern physics research. In this talk I will give an overview of the main mathematical and programming concepts that lie in the basis of modern computer algebra tools and how they are applied for solving modern theoretical physics and some engineering problems. I will also give a sketch overview of modern computer algebra software, including general...

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  4. 283. Using Deep Learning in Ultra-High Energy Cosmic Ray Experiments
    Dr Oleg Kalashev (Institute for Nuclear Research RAS)
    11/03/2019, 10:00
    Track 3: Computations in Theoretical Physics: Techniques and Methods
    Oral

    The extremely low flux of ultra-high energy cosmic rays
    (UHECR) makes their direct observation by orbital experiments
    practically impossible. For this reason all current and planning UHECR
    experiments detect cosmic rays indirectly observing extensive air
    showers (EAS) initiated by cosmic ray particles in the atmosphere.
    Various types of shower observables are analysed in modern...

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  5. 490. Machine learning for an X-ray FEL
    Daniel Ratner (Stanford University)
    11/03/2019, 11:00
    Track 2: Data Analysis - Algorithms and Tools
    Plenary

    X-ray Free Electron Lasers (XFELs) are among the most complex accelerator projects in the world today. With large parameter spaces, sensitive dependence on beam quality, huge data rates, and challenging machine protection, there are diverse opportunities to apply machine learning (ML) to XFEL operation. This talk will summarize promising ML methods and highlight recent examples of successful...

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  6. 504. Computations in Laser Particle Acceleration: heterogenous, parallel computing for physicists
    Bussmann Michael (HZDR, Dresden)
    11/03/2019, 11:30
    Track 1: Computing Technology for Physics Research
    Plenary
  7. 505. Implicit cause models
    Rajesh Ranganath (New York University)
    11/03/2019, 12:00
    Track 1: Computing Technology for Physics Research
    Plenary
  8. 506. Keynote talk: Probabilistic Programming and Inference in Particle Physics
    Atilim Gunes Baydin (University of Oxford)
    12/03/2019, 09:00
    Track 2: Data Analysis - Algorithms and Tools
    Plenary

    We present a novel framework that enables efficient probabilistic inference in large-scale scientific models by allowing the execution of existing domain-specific simulators as probabilistic programs, resulting in highly interpretable posterior inference. Our framework is general purpose and scalable, and is based on a cross-platform probabilistic execution protocol through which an inference...

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  9. 507. HEP.QPR Project: Quantum Pattern Recognition for Charged Particle Tracking
    Heather Gray (LBNL)
    12/03/2019, 09:40
    Track 2: Data Analysis - Algorithms and Tools
    Plenary
  10. 508. RISC-V based, silicon proven open-source processors from the PULP project
    Dr Frank K. Gรผrkaynak (ETH)
    12/03/2019, 10:10
    Track 1: Computing Technology for Physics Research
    Plenary

    Since 2013, ETH Zรผrich and University of Bologna have been working on the PULP project to develop energy efficient computing architectures suitable for a wide range of applications starting from the IoT domain where computations have to be done in a few milliWatts, all the way to the HPC domain where the goal is to extract the maximum number of calculations within a given power budget. For...

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  11. 510. Generative Models
    Danilo Rezende (DeepMind)
    12/03/2019, 11:00
    Track 2: Data Analysis - Algorithms and Tools
    Plenary
  12. 511. GPU usage in theoretical calculations
    Stephen Philip Jones
    12/03/2019, 11:30
    Track 1: Computing Technology for Physics Research
    Plenary
  13. 514. Decoding the nature of Dark matter at current and future experiments
    Alexander Belyaev (Southampton University)
    12/03/2019, 12:00
    Plenary
  14. 512. Keynote talk: The future of HEP computing
    Rene Brun (CERN)
    13/03/2019, 09:00
    Track 1: Computing Technology for Physics Research
    Plenary
  15. 513. Computing Architectures in the HL-LHC era
    Paolo Calafiura (Lawrence Berkeley National Laboratory )
    13/03/2019, 09:40
    Plenary
  16. 509. Making HPC friendly for scientists
    Sadaf Alam (Swiss Supercomputing Center (CSCS))
    13/03/2019, 10:10
    Track 1: Computing Technology for Physics Research
    Plenary
  17. 493. The STEM paradox: Factors affecting diversity in STEM fields
    Dr Isabelle D Cherney (Merrimack University)
    13/03/2019, 11:00
    Track 1: Computing Technology for Physics Research
    Plenary

    Women obtain more than half of U.S. undergraduate degrees in biology, chemistry, and mathematics, yet they earn less than 20% of computer science, engineering, and physics undergraduate degrees (NSF, 2014). Why are women represented in some STEM fields more than others? The STEM Paradox and the Gender Equality Paradox show that countries with greater gender equality have a lower percentage of...

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  18. 494. Round table discussion
    13/03/2019, 11:20
    Plenary
  19. 515. Neuroscience and the Future of Computing
    Felix Schuermann (EPFL, Blue Brain project)
    13/03/2019, 12:00
    Plenary

    Modern electronic general-purpose computing has been on an unparalleled path of exponential acceleration for more than 7 decades. From the 1970 onwards, this trend was driven by the success of integrated circuits based on silicon technology. The exponential growth has become a self-fulfilling (and economically driven) prophecy commonly referred to as Mooreโ€™s Law. The end of Mooreโ€™s law has...

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  20. 516. Keynote talk: Constraining effective field theories with machine learning
    Johann Brehmer (New York University)
    14/03/2019, 09:00
    Plenary

    An important part of the LHC legacy will be precise limits on indirect effects of new physics, framed for instance in terms of an effective field theory. These measurements often involve many theory parameters and observables, which makes them challenging for traditional analysis methods. We discuss the underlying problem of โ€œlikelihood-freeโ€ inference and present powerful new analysis...

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  21. 517. Beyond the Roadmap: HL-LHC HEP Software
    Gordon Watts (University of Seattle)
    14/03/2019, 09:40

    Abstract:
    The HEP software ecosystem faces new challenges in 2020 with the approach of the High Luminosity LHC (HL-LHC) and the turn-on of a number of large new experiments. Current software development is organized around the experiments: No other field has attained this level of self-organization and collaboration in software development.

    During 2017 the community produced a roadmap for...

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  22. 518. Automatic Differentiation and Deep Learning
    Soumith Chintala (Facebook AI Research)
    14/03/2019, 10:10
    Track 2: Data Analysis - Algorithms and Tools
    Plenary
  23. 495. TrackML : a tracking Machine Learning challenge
    Jean-Roch Vlimant (California Institute of Technology (US))
    14/03/2019, 11:00
    Track 2: Data Analysis - Algorithms and Tools
    Plenary

    The HL-LHC will see ATLAS and CMS see proton bunch collisions reaching track multiplicity up to 10.000 charged tracks per event. Algorithms need to be developed to harness the increased combinatorial complexity. To engage the Computer Science community to contribute new ideas, we organize a Tracking Machine Learning challenge (TrackML). Participants are provided events with 100k 3D points, and...

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  24. 496. Round table: Machine Learning
    14/03/2019, 11:20
    Track 2: Data Analysis - Algorithms and Tools
    Plenary
  25. 519. Higher-order QED contributions to the lepton anomalous magnetic moments
    Makiko Nio (Mishina Center, Riken)
    14/03/2019, 12:00
    Track 3: Computations in Theoretical Physics: Techniques and Methods
    Plenary

    The anomalous magnetic moment of the electron $a_e$ and that of the muon $a_\mu$ occupy the special positions for precision tests of the Standard Model of elementary particles. Both have been precisely measured, 0.24 ppb for $a_e$ and 0.5 ppm for $a_\mu$, and new experiments of both $a_e$ and $a_\mu$ are on-going aiming to reduce the uncertainties. Theoretical calculations of $a_e$ and $a_\mu$...

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  26. 520. Machine learning in cosmology
    Francois Lanusse (Lawrence Berkeley National Laboratory )
    15/03/2019, 09:00
    Track 2: Data Analysis - Algorithms and Tools
    Plenary
  27. 521. Computational challenges for Generators
    Andy Buckley (University of Glasgow (GB))
    15/03/2019, 09:30
    Plenary
  28. 522. Machine Learning in Neutrino Physics
    Kazuhiro Terao (SLAC)
    15/03/2019, 10:00
    Track 2: Data Analysis - Algorithms and Tools
    Plenary
  29. 497. Best Track 1 poster: Physics and computing performance of reconstruction algorithms for the GPU High Level Trigger 1 of LHCb
    Dorothea Vom Bruch (LPNHE Paris, CNRS)
    15/03/2019, 11:00
    Track 1: Computing Technology for Physics Research
    Plenary

    Beginning in 2021, the upgraded LHCb experiment will use a triggerless readout system collecting data at an event rate of 30 MHz. A software-only High Level Trigger will enable unprecedented flexibility for trigger selections. During the first stage (HLT1), a sub-set of the full offline track reconstruction for charged particles is run to select particles of interest based on single or...

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  30. 498. Best Track 2 poster: Tracking performance for long living particles at LHCb
    Luis Miguel Garcia Martin (Univ. of Valencia and CSIC (ES))
    15/03/2019, 11:10
    Track 2: Data Analysis - Algorithms and Tools
    Plenary

    The LHCb experiment is dedicated to the study of the c- and b-hadrons decays, including long living particles such as Ks and strange baryons (Lambda, Xi, etc... ). These kind of particles are difficult to reconstruct from LHCb tracking systems since they escape the detection in the first tracker. A new method to evaluate the performance in terms of efficiency and throughput of the different...

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  31. 499. Track 1 summary
    Patricia Mendez Lorenzo (CERN)
    15/03/2019, 11:20
    Track 1: Computing Technology for Physics Research
    Plenary
  32. 500. Track 2 Summary
    Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
    15/03/2019, 11:35
    Track 2: Data Analysis - Algorithms and Tools
    Plenary
  33. 501. Track 3 Summary
    Ben Ruijl (Nikhef)
    15/03/2019, 11:50
    Track 3: Computations in Theoretical Physics: Techniques and Methods
    Plenary
  34. 502. ACAT 2019 Summary
    Gordon Watts (University of Washington (US))
    15/03/2019, 12:05
    Track 1: Computing Technology for Physics Research
    Plenary
  35. 503. Thank you and good bye
    Federico Carminati (CERN)
    15/03/2019, 12:20
    Track 1: Computing Technology for Physics Research
Building timetable...