Snowmass at LBNL

US/Pacific
LBNL & Virtual

LBNL & Virtual

Benjamin Nachman, Cameron Geddes (LBNL), David Schlegel, Deborah Bard (NERSC / LBNL), Gabriel Orebi Gann (UC Berkeley / LBNL), GianLuca Sabbi, Kevin Lesko (LBNL), Maurice Garcia-Sciveres, Scott Kravitz (Lawrence Berkeley National Lab), Simone Pagan Griso, Zoltan Ligeti
Description

Every session has its own zoom link

Registration
Registration
Participants
  • Aaron Manalaysay
  • Akito Kusaka
  • Alan Poon
  • Alex Kim
  • Amara McCune
  • Aniruddha Bapat
  • Ann-Kathrin Schuetz
  • Anthony Spadafora
  • Aritoki Suzuki
  • Asmita Patel
  • Axel Huebl
  • Benjamin Nachman
  • Bjoern Lehnert
  • Brian Fujikawa
  • Brooke Russell
  • Burkhant Suerfu
  • Callum Wilkinson
  • Cameron Geddes
  • Carl Schroeder
  • carlo benedetti
  • Carlos Serrano
  • Chad Mitchell
  • Chiara Capelli
  • Christian Bauer
  • Dan Dwyer
  • Dan Wang
  • Daniel Carney
  • Daniel McKinsey
  • daniele Filippetto
  • David Brown
  • Davide Terzani
  • Dean Robinson
  • Deborah Bard
  • Derun Li
  • Elliot Reynolds
  • Elodie Resseguie
  • Eric Esarey
  • Eric Linder
  • Erin Hansen
  • Ernst Sichtermann
  • Gang Huang
  • GianLuca Sabbi
  • Gregory Penn
  • Hongtao Yang
  • Ibles Olcina
  • Irakli Chakaberia
  • Jacques Delabrouille
  • James Mulligan
  • James Symons
  • Jean-Luc Vay
  • Jennifer Rittenhouse West
  • Ji Qiang
  • Karol Krizka
  • Kevin Einsweiler
  • Kevin Langhoff
  • Kevin Lesko
  • Krish Desai
  • Li Wang
  • Lieselotte Obst-Huebl
  • Lina Barbaro Galtieri
  • Mariel Pettee
  • Marlene Turner
  • Michael Kreshchuk
  • Michael Levi
  • Miguel Furman
  • Morgan Askins
  • Ms Kaushalya
  • Natalie Roe
  • Nathalie Palanque-Delabrouille
  • Nathaniel Craig
  • Neelay Fruitwala
  • Nikolaos Kalntis
  • Olga Shapoval
  • Paolo Calafiura
  • Paolo Ferracin
  • Patrick McDonald
  • Peter Jacobs
  • Qiang Du
  • Remi Lehe
  • Robert Ryne
  • Sam Barber
  • Scott Haselschwardt
  • Scott Kravitz
  • Shilo Xia
  • Simone Ferraro
  • Simone Pagan Griso
  • Siyun Chen
  • Soren Pretemon
  • Soubhik Kumar
  • Stefano Roberto Soleti
  • Stephen Bailey
  • Stephen Gourlay
  • Taisei Kumakura
  • Tanner Kaptanoglu
  • Tengming Shen
  • Thomas Schenkel
  • Tianhuan Luo
  • Vetri Velan
  • Vinicius Mikuni
  • Weiming Yao
  • Weishuang Linda Xu
  • Xiangyang Ju
  • xinran li
  • Yilun Xu
  • Zara Bagdasarian
  • Zoltan Ligeti
    • Plenary: Introduction Virtual

      Virtual

      Join Zoom Meeting
      https://lbnl.zoom.us/j/99648127935?pwd=a0gxN0JKK0pJdEl0U2hYb0NFY0xrQT09

      Meeting ID: 996 4812 7935
      Passcode: 910169

    • Dark Matter 50A-5132 (Sessler) LBNL & Virtual

      50A-5132 (Sessler) LBNL & Virtual

    • Community Engagement 50A-5132 (Sessler) LBNL & Virtual

      50A-5132 (Sessler) LBNL & Virtual

      Join Zoom Meeting
      https://lbnl.zoom.us/j/9745212145?pwd=bXZxQU1WczdyVDZ2VnM1emdtZzFIUT09

      Meeting ID: 974 521 2145
      Password: 948119

      • 9
        Community Frontier lightning talks

        Lightning talks to introduce IDEA work happening at LBNL, and to introduce the Community Frontier efforts ongoing at LBNL.
        Speakers:
        Asmita Patel - IDEA activities in ATAP
        Alex Kim - IDEA activities in the Physics Division
        Erin Hansen - Climate of the Field in CommF
        Vetri Velan - Physics Education in CommF
        Lotti Obst-Heubl - Industry Engagement in CommF

        Speakers: Alex Kim, Asmita Patel, Erin Hansen, Lieselotte Obst-Huebl, Dr Scott Kravitz (Lawrence Berkeley National Lab), Vetri Velan
      • 10
        Community Frontier discussion

        Discussion with speakers and workshop participants.
        - What are key topics LBNL should focus on?
        - What work is being done at LBNL that could be incorporated (or lessons learned from) into Snowmass CommF work?

    • 12:15 PM
      Lunch On your own

      On your own

    • High Energy Colliders 50A-5132 (Sessler)

      50A-5132 (Sessler)

      LBNL & Virtual

      Join Zoom Meeting
      https://lbnl.zoom.us/j/91731248039?pwd=dlF2SjlRSmVRNUlnZTJzcE9FV1d0QT09

      Meeting ID: 917 3124 8039
      Passcode: 633100
      One tap mobile
      +16699006833,,91731248039#,,,,*633100# US (San Jose)

      • 11
        Introduction
        Speaker: Benjamin Nachman
      • 12
        High-Energy e+e-/gamma-gamma and low-energy demonstrator

        Continue developing quantitative numbers and physics case at 10 TeV scale towards white paper and for inclusion in Energy and Theory frontier.

        Speakers: Benjamin Nachman, Carl Schroeder, Peter Jacobs, Simon Knapen, Simone Pagan Griso
        • a) Accelerator design for multi-TeV future colliders and possible on-site 40 GeV-class demonstrator
          Speaker: Carl Schroeder
        • b) Physics Potential
          Speakers: Benjamin Nachman, Simon Knapen, Simone Pagan Griso
        • c) Synergy with EIC and nuclear physics
          Speaker: Peter Jacobs
        • d) Discussion (Snowmass whitepaper)
      • 13
        High-Energy Hadron Colliders
        Speaker: Paolo Ferracin
      • 2:30 PM
        Coffee Break
      • 14
        High-Energy Muon Collider
        Speakers: Derun Li, Elodie Resseguie, Karol Krizka, Nathaniel Craig
    • Neutrinos: panel discussions for future NLDBD and DUNE 4th cavern Virtual

      Virtual

      Join Zoom Meeting https://lbnl.zoom.us/j/99717581524 Meeting ID: 997 1758 1524

      Join Zoom Meeting
      https://lbnl.zoom.us/j/99717581524

      Meeting ID: 997 1758 1524

    • 3:30 PM
      Coffee Break On your own

      On your own

    • Machine Learning / Computing 50A-5132 (Sessler) LBNL & Virtual

      50A-5132 (Sessler) LBNL & Virtual

      • 17
        Areas to double down

        How can we facilitate collaboration across domain science areas, e.g. ML and simulation

        Uncertainty quantification / robustness, in particular, early experimental results with ML

      • 4:05 PM
        Break
      • 18
        Areas to expand

        Reinforcement learning
        Fast ML?
        - AI inference chips on detector?
        - We have a lot of experience with electronics, why not fast ML?
        - Offline fast inference (in particular, at NERSC and related facilities)

      • 4:30 PM
        Break
      • 19
        Building Expertise

        Trying to keep track of existing efforts in ML and ML \intersect physics

        Facilitating informal interactions / workshop-type
        - Technical details from various

        General register for expertise?