Hasan Padamsee

Superconducting Radiofrequency Technology for Accelerators

State of the Art and Emerging Trends

• Gebundenes Buch

Produktbeschreibung

The book provides an overview of the key technologies for current and future accelerators, including those projected to enable breakthrough developments in neutrino research and quantum computing.

Produktdetails

• Verlag: Wiley-VCH
• Artikelnr. des Verlages: 1141409 000
• 1. Auflage
• Seitenzahl: 400
• Erscheinungstermin: 5. April 2023
• Englisch
• Abmessung: 252mm x 174mm x 24mm
• Gewicht: 916g
• ISBN-13: 9783527414093
• ISBN-10: 3527414096
• Artikelnr.: 64717139

Autorenporträt

Hasan Padamsee has published two books on radiofrequency (RF) superconductivity and one popular physics book, Unifying the Universe. After obtaining his PhD from Northeastern University, Boston, Massachusetts, he spent most of his career leading the RF Superconductivity Program at Cornell, before becoming Head of the Technical Division and Chief Technology Officer at Fermilab. At Cornell he launched the TeV Energy Superconducting Linear Accelerator (TESLA) which subsequently morphed into the International Linear Collider (ILC). Prof. Padamsee has over 600 publications and numerous scientific awards including the prestigious APS Wilson Prize, and the IEEE Particle Accelerator Science and Technology (PAST) prize. He is a member of the American Physical Society.

Inhaltsangabe

Preface

PART I. UPDATE OF SRF FUNDAMENTALS
Introduction
SRF Fundamentals Review

PART II. HIGH Q FRONTIER: PERFORMANCE ADVANCES AND UNDERSTANDING
Nitrogen-Doping
High Q via 300 C° Bake (Mid-T-Bake)
High Q's from DC Magnetic Flux Expulsion

PART III. HIGH GRADIENT FRONTIER: PERFORMANCE ADVANCES AND UNDERSTANDING
High Field Q Slope (HFQS) - Understanding and Cures
Quest for Higher Gradients: Two Step Baking & N-Infusion
Improvements in Cavity Preparation
Pursuit of Higher Performance with Alternate Materials

PART IV. APPLICATIONS
New Cavity Developments
Ongoing Applications
Future Prospects for Large-Scale SRF Applications
Quantum Computing with SRF Cavities

Index