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Science Week - 2019

Aug 19–23, 2019
TRIUMF
Canada/Pacific timezone

Contribution List

51 out of 51 displayed
  1. 1. Welcome
    Dr Jonathan Bagger (TRIUMF)
    2019-08-21, 8:30 a.m.
  2. 2. Introduction
    Dr Gordon Ball (TRIUMF)
    2019-08-21, 8:35 a.m.
  3. 3. ISAC RIB Production Systems and target development
    Dr Pierre Bricault
    2019-08-21, 8:45 a.m.
  4. 4. ISAC Source Development
    Dr Jens Lassen (TRIUMF)
    2019-08-21, 9:05 a.m.
  5. 5. ISAC Linear Accelerators
    Robert Laxdal (TRIUMF)
    2019-08-21, 9:25 a.m.
  6. 36. Application of ISAC facility for production of medical radionuclides: past, present and future perspectives
    Dr Valery Radchenko (TRIUMF)
    2019-08-21, 9:45 a.m.
  7. 26. Angular correlation measurements at ISAC: using the atomic nucleus to search for BSM physics for 20 yrs
    Prof. Dan Melconian
    2019-08-21, 10:35 a.m.
  8. 27. Superallowed Fermi Beta Decay: Two decades of fundamental research at ISAC
    Prof. Gwen Grinyer (University of Regina)
    2019-08-21, 10:55 a.m.
  9. 28. Early Days of beta-NMR at TRIUMF
    Prof. Rob Kiefl (TRIUMF and UBC)
    2019-08-21, 11:15 a.m.
  10. 29. ISAC’s continuing mission to explore the stars
    Prof. Alison Laird (York University)
    2019-08-21, 11:35 a.m.
  11. 30. Twenty+ years of ab initio nuclear theory
    Dr Petr Navratil (TRIUMF)
    2019-08-21, 12:05 p.m.
  12. 31. Unmasking nuclear halo features with two decades of ISOL beams at TRIUMF
    Prof. Rituparna Kanungo (Saint Mary's University)
    2019-08-21, 1:45 p.m.
  13. 33. Nuclear shapes, coexistence and collective behaviors studied at ISAC
    Dr Adam Garnsworthy (TRIUMF)
    2019-08-21, 2:10 p.m.
  14. 34. Indirect studies of astrophysics around the Coulomb barrier
    Dr Barry Davids (TRIUMF)
    2019-08-21, 2:35 p.m.
  15. 35. From structural distortions to weak magnetism - exploring the capabilities of beta-NMR
    Dr Zaher Salman
    2019-08-21, 2:55 p.m.
  16. 39. Pushing the limits: Towards the neutron drip line with ISAC
    Dr Iris Dillmann (TRIUMF)
    2019-08-21, 3:45 p.m.
  17. 32. The Emergence of nuclear-shell-model studies at ISAC
    Dr Anna Kwiatkowski (TRIUMF)
    2019-08-21, 4:10 p.m.
  18. 37. Francium: Uranium and hydrogen baked into one
    Prof. Gerald Gwinner (University of Manitoba)
    2019-08-21, 4:35 p.m.
  19. 38. Advances in beta-NMR @ ISAC
    Dr Sarah Dunsiger (TRIUMF)
    2019-08-21, 4:55 p.m.
  20. 40. Symposium Summary
    Prof. Alan Shotter
    2019-08-21, 5:15 p.m.
  21. 6. Welcome
    Dr Jonathan Bagger (TRIUMF)
    2019-08-22, 8:30 a.m.
  22. 7. Introduction
    Dr Anna Kwiatkowski (TRIUMF)
    2019-08-22, 8:35 a.m.
  23. 8. Physical Sciences Division Report
    Prof. Jens Dilling (TRIUMF)
    2019-08-22, 8:45 a.m.
  24. 9. Life Sciences Division Report
    Dr Cornelia Hoehr (TRIUMF)
    2019-08-22, 9:10 a.m.
  25. 10. Accelerator Division Report
    Dr Oliver Kester (TRIUMF)
    2019-08-22, 9:35 a.m.
  26. 11. Update to TRIUMF Governance
    Dr Jonathan Bagger (TRIUMF)
    2019-08-22, 10:00 a.m.
  27. 12. Update to TRIUMF Org Chart
    Anne Louise Aboud (TRIUMF)
    2019-08-22, 10:15 a.m.
  28. 14. TRIUMF Users Office
    Dr Marcello Pavan (TRIUMF)
    2019-08-22, 11:00 a.m.
  29. 15. Beam time planning for 2020
    Prof. Reiner Kruecken (TRIUMF)
    2019-08-22, 11:15 a.m.
  30. 16. Q&A with TRIUMF Management
    2019-08-22, 11:40 a.m.
  31. 17. New electron gun for the TITAN-EBIT (Student Prize Talk)
    Kilian Dietrich (TRIUMF)
    2019-08-22, 1:30 p.m.
  32. 18. TUG Poster Slam!
    2019-08-22, 1:45 p.m.
  33. 20. Ab initio predictions of light nuclei
    Dr Anna McCoy
    2019-08-22, 4:00 p.m.
  34. 21. Range Verification in Proton Therapy using a Tumor Marker and Gamma Ray Spectroscopy
    Prof. Dennis Muecher
    2019-08-22, 4:15 p.m.
  35. 22. Current-Induced Non-Magnetic State in Mott Insulator Ca2RuO4
    Prof. Graeme Luke
    2019-08-22, 4:30 p.m.
  36. 23. ALPHA, the Trapped Antihydrogen Experiment: Status and Prospects
    Dr Andrea Capra
    2019-08-22, 4:45 p.m.
  37. 24. TUG News and Information
    Prof. Gwen Grinyer (University of Regina)
    2019-08-22, 5:00 p.m.
  38. 25. Student Prize Announcements
    2019-08-22, 5:15 p.m.
  39. 42. Hands on Machine Learning session
    Dr Wojciech Fedorko (TRIUMF)
    2019-08-23, 8:30 a.m.
    Data Science and Quantum Computing Workshop
    Data Science and Quantum Computing Workshop
    We will develop a deep learning solution for event classification in a partice physics experiment
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  40. 43. Hands-on Session: Developing Quantum Applications in Q#
    Dr Christopher Granade (Microsoft)
    2019-08-23, 11:00 a.m.
    In this workshop, participants will learn to use the Quantum Development Kit and the Q# programming language to develop quantum applications and test them using simulators. The workshop consists of a short lecture and a series of hands-on exercises, covering a wide variety of tasks and concepts. No prior software installation needed to participate, all materials are available online.
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  41. 41. Deep Learning Applications to Medical Imaging
    Dr Ghassan Hamarneh
    2019-08-23, 1:30 p.m.
    Medical imaging has revolutionized medicine. Now medical imaging itself is witnessing a deep learning revolution. Clinically-relevant medical image interpretation tasks (e.g. image segmentation and image classification) have been re-formulated under a deep learning framework with impressive results. These early successes have been attributed to three factors: data, learning algorithms, and...
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  42. 45. Quantum Variational Autoencoders and their applications
    Dr Hossein Sadeghi (D-Wave)
    2019-08-23, 2:00 p.m.
    Generative models are among the most promising approaches toward understanding unlabelled data. They have a wide range of applications in structured prediction, molecular & material design, image analysis, speech synthesis, and computer vision. They pair with supervised learning models to help perform ML tasks when labelling data is expensive or labels are only available in a different domain....
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  43. 46. Enhancing quantum simulators with neural networks
    Dr Giacomo Torlai (Flatiron Institute)
    2019-08-23, 2:30 p.m.
    The recent advances in qubit manufacturing and coherent control of synthetic quantum matter are leading to a new generation of intermediate scale quantum hardware, with promising progress towards scalable simulation of quantum matter and materials. In order to enhance the capabilities of this class of quantum devices, some of the more arduous experimental tasks can be off-loaded to classical...
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  44. 47. Quantum Algorithms for Solving Dynamic Programming Problems
    Dr Pooya Ronagh (1QBit, IQC, UW)
    2019-08-23, 3:00 p.m.
    We introduce quantum algorithms for solving finite-horizon and infinite-horizon dynamic programming problems. We visit the query complexity lower bounds for classical randomized algorithms for the same tasks and consequently demonstrate a polynomial separation between the query complexity of our quantum algorithms and best-case query complexity of classical randomized algorithms. Up to...
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  45. 44. Projects at TRIUMF
    Dr Wojciech Fedorko (TRIUMF)
    2019-08-23, 4:00 p.m.
    A foreword on Machine Learning projects started at TRIUMF
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  46. 63. Variational AutoEncoders (VAEs) for water Cherenkov detectors
    Mr Abhishek Kajal (TRIUMF/University of Manitoba)
    2019-08-23, 4:03 p.m.
    Data Science and Quantum Computing Workshop
    Data Science and Quantum Computing Workshop
    A Variational AutoEncoder (VAE) is a generative method used to approximate the probability distribution of processes in very high dimensional spaces. We apply VAEs for generative modelling of Water Cherenkov detectors which are used to perform precision measurements on neutrinos. In this talk, I will discuss the steps and challenges in applying VAEs to simulated neutrino events in the proposed...
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  47. 64. Extrapolating Nuclear Many-Body Calculations with Constrained Gaussian Processes
    Mr Peter Gysbers
    2019-08-23, 4:21 p.m.
    The properties of nuclei can be computed from first principles starting from realistic interactions between nucleons. Using suitable basis functions, the many-body wavefunction is found by diagonalizing a Hamiltonian matrix (i.e. solving the Schrödinger equation). Due to limited computational resources only a finite basis size can be used. This is frequently insufficient for complete...
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  48. 48. Expressive Structured Representations in Deep Generative Models
    Dr Andreas Lehrmann
    2019-08-23, 4:40 p.m.
    Deep generative models, such as variational autoencoders and generative adversarial networks, are among the most exciting recent developments in machine learning. Variational autoencoders, in particular, have seen a tremendous rise in popularity due to their principled variational framework and powerful neural approximations to previously infeasible inference tasks, including marginal and...
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  49. 49. Solving Technological Challenges with the Fujitsu Digital Annealer
    Mr Jeffrey English (Fujitsu), Mr Tadayoshi Ozaki (Fujitsu)
    2019-08-23, 5:05 p.m.
    Data Science and Quantum Computing Workshop
    Data Science and Quantum Computing Workshop
    The Fujitsu Digital Annealer is a new technology that is used to solve large-scale combinatorial optimization problems instantly. The Digital Annealer uses a digital circuit design and can solve problems which are intractable for classical computers. In this workshop, we introduce how the Digital Annealer works for solving combinatorial optimization problems with use cases drawn from...
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  50. 19. TUG Poster Session
  51. 13. Update to TRIUMF Org Chart
    Anne Louise Aboud (TRIUMF)