Lbnl - PowerPoint PPT Presentation


Python Library for Simulated Commissioning of Synchrotrons Accelerator Toolbox Workshop

This workshop presented by Lukas Malina introduces a Python library for simulated commissioning of synchrotrons, focusing on commissioning simulations using AI translation from Matlab. The Python library aims to replicate machines with random errors, provide correction methods, and enhance performan

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Advancements in Pixel Readout R&D for Large Liquid Argon Time-Projection Chambers

Explore the latest developments in pixel readout research and development for large liquid argon time-projection chambers (LArTPCs) presented by Dan Dwyer at the CYGNUS Collaboration Meeting. Learn about signal characteristics, wire signal ambiguity, challenges in true 3D readout, and the innovative

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MVTX.C&S Review Homework for MVTX Group July 29-30, 2019

The homework review for the MVTX Group on July 29-30, 2019 includes questions regarding the insertion of MVTX and details about carbon fiber work at LBNL. It covers topics like the steps of insertion, drawings of the beam pipe, plans for testing with a mockup beam pipe, and evaluation of commercial

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Network Security Breakout: Science DMZ, BGP, Data Movement, Measurement & Monitoring Tools

Delve into network security topics related to Science DMZ, BGP, data movement, and measurement tools discussed at the NSF CC* PI Workshop. Key speakers include Jason Zurawski from LBNL and representatives from the University of South Carolina. The workshop covers various aspects of network security

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IT Infrastructure Updates and Deployments Overview

Deployment and upgrade progress of IT infrastructure at LBNL includes wireless network expansion, router replacements with 100G upgrade, 100G tapping evaluation for IDS, DTN deployment for data transfer automation, and video conferencing cart deployment. The updates range from network switches to ro

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Machine Learning Applications for EBIS Beam Intensity and RHIC Luminosity Maximization

This presentation discusses the application of machine learning for optimizing EBIS beam intensity and RHIC luminosity. It covers topics such as motivation, EBIS beam intensity optimization, luminosity optimization, and outlines the plan and summary of the project. Collaborators from MSU, LBNL, and

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Financial Logistics and Research Goals for EIC Consortium

The Consortium campuses have excess funds and are uncertain about potential budget cuts. Strategies are being discussed on utilizing the remaining funds effectively, including extending student presence and organizing workshops. The personnel roster includes recent additions, collaborations, and rec

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