Enabling Capabilities for Infrastructure and Workforce in Electronics and ASICs
M. Artuso (1), C. Grace (2), T. Heim (2), A. Dragone (3), R. Herbst, (3), L. Rota (3), G. Carini (4), G. Deptuch (4), M. Newcomer (5), K. Flood, (6) ((1) Syracuse University, (2) Lawrence Berkeley National Laboratory, (3), SLAC National Accelerator Laboratory

TL;DR
This paper discusses the importance of developing infrastructure and workforce capabilities to support advanced ASIC design and manufacturing in experimental particle physics, emphasizing education, tools, and knowledge sharing.
Contribution
It proposes a comprehensive initiative to enhance skills, tools, and infrastructure for ASIC development in high-energy physics applications.
Findings
Need for skilled workforce in ASIC design
Importance of advanced design tools and infrastructure
Proposed multifaceted initiative for capability development
Abstract
The impressive progress in data rate capabilities, pattern recognition, and spatial resolution of current detectors in experimental particle physics has been possible thanks to the availability of sophisticated analog processors combined with complex digital signal processors implemented in custom made front end ASICs. The demands in terms of performance and increasingly smaller feature sizes are significant. In order to meet these instrumentation challenges, we need to educate and retain a skilled work force, as well as aggregate design tools and acquired knowledge. We propose a multifaceted initiative to ensure that these needs are met.
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Taxonomy
TopicsParticle Detector Development and Performance · Distributed and Parallel Computing Systems · Scientific Computing and Data Management
