Snowmass at LBNL

Friday 10 Dec 2021, 08:30 → 19:45 US/Pacific

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

Every session has its own zoom link

Plenary: Introduction

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

Meeting ID: 996 4812 7935
Passcode: 910169

2021-12-10 SnowmassLBNL Introduction.pdf

Fill-the-survey

Small-experiment-slides

Dark Matter

1 Dark Matter Theory

Speaker: Simon Knapen

2 Heavy Dark Matter

Speaker: Dan Carney (LBNL)

3 LXe G3

Speaker: Kevin Lesko (LBNL)

Generation-3 Options.pdf

4 LZ Upgrades - CrystaliZe

Speaker: Peter Sorensen (LBNL)

crystaLiZe_ path forward.pdf

5 LZ Upgrades - HydroX

Speaker: Aaron Manalaysay (LBNL)

LZ Upgrades - HydroX.pdf

6 TESSERACT Project & HeRALD detector

Speaker: Dan McKinsey (UCB/LBNL)

Tesseract_McKinsey_Dec_2021.pdf

7 SPICE

Speaker: Matt Pyle (UCB/LBNL)

8 TESSERACT R&D

Speaker: Xinran Li (LBNL)

Snowmass_LBNL_TESSERACT_SensorRnD_Xinran.pdf

Community Engagement

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

Meeting ID: 974 521 2145
Password: 948119

Zoom

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

101221_SM@LBL_Climate.pdf

CommF_Lotti.pptx

Community Engagement Overview.pdf

IDEA Physics

KimSnowmassIDEA.pdf

Presentation IDEA Efforts in ATAP_12_10_2021.pptx

VelanParticlePhysicsEducation.pdf

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 Lunch

High Energy Colliders

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)

Zoom

11 Introduction

Speaker: Benjamin Nachman

High Energy Colliders.pdf

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

Snowmass@LBNL-CBSchroeder-10Dec21.pptx

13 High-Energy Hadron Colliders

Speaker: Paolo Ferracin

21_12_10_Snowmass-meeting.pptx

14:30 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

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

Meeting ID: 997 1758 1524

2021-12 LBNL snowmass.pdf

Zoom

15 Panel discussion: beyond ton-scale NLDBD

Speakers: Alan Poon, Daniel Mckinsey, Gabriel Orebi Gann (UC Berkeley / LBNL), Tanner Kaptanoglu, Yuan Mei, Yury Kolomensky

Kolomensky_CUPID-1T_LBL_10dec21.pdf

LBL_McKinsey_G3_0nuBB.pdf

LBL_ymei_0nBB202112.pdf

theia_lbnl_talk_v2.pdf

16 Panel discussion: leveraging the 4th DUNE cavern

Speakers: Callum Wilkinson (LBNL), Daniel Dwyer, Gabriel Orebi Gann (UC Berkeley / LBNL), Kevin Lesko (LBNL), Morgan Askins

Askins SM LBL Moo.pdf

Dark Matter Options for DUNE’s Cavity of Opportunity.pdf

Wilkinson_mood_thoughts.pdf

15:30 Coffee Break

Machine Learning / Computing

Zoom

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

16:05 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)

16:30 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?