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sPHENIX Planning Weekly Meeting Highlights - May 28, 2020

Recap of sPHENIX Planning Weekly Meeting discussing various topics such as infrastructure updates, installation progress, HCAL operations, training requirements for staff returning to site, and more. Team planning for construction of the sPHENIX detector and restarting factory operations. Details on

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Development of Silicon Tracker and Sensor Technology for sPHENIX Detector

Research and development efforts are underway for silicon tracker and sensor technology to enhance the functionality of the sPHENIX detector. The project aims to improve mass resolution, cover specific areas effectively, and optimize sensor configurations. Various sensor concepts are being explored

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Storage & Infrastructure Group Overview

The Storage & Infrastructure Group consists of dedicated staff members managing virtualization, container management, central build and configuration, storage services, and IAA services. They are currently involved in various activities such as migrating to OpenShift, upgrading Puppet to support RHE

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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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sPHENIX DAQ/Trigger System Overview

The sPHENIX DAQ/Trigger system is the focus of this review, covering the hardware, procurements, technical status, and deliverables of the system. Key components include Data Collection Modules (DCM-II), SubEvent Buffers (SEB), control machines, and global level 1 system. The system aims to achieve

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Fostering Scientific Analysis: Fun4All - A Powerful Data Processing Tool

Fun4All is a mature data processing framework that started in 2003 to reconstruct and analyze PHENIX data, later adopted by sPHENIX. It handles large volumes of raw data, processing about 1PB DST data per week for user analysis. The design principle emphasizes simplicity and readability for users, a

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