EVENTS

Ferruccio Renzoni: Quantum Sensors for Electromagnetic Induction Imaging: from Atomic Vapours to Bose-Einstein Condensates

Editor: 周婷     Time: 2022-06-17      Number of visits: 63

Title: Quantum Sensors for Electromagnetic Induction Imaging: from Atomic Vapours to Bose-Einstein Condensates

 

Reporter: Ferruccio Renzoni,

Department of Physics & Astronomy,

University College London, London (UK)

 

Place: Zoom Conference (https://ucl.zoom.us/j/95890305000?pwd=STVyMVRhU250dEMwS1dkT2E1V2FuQT09  passcode: 640289)

 

Time: 16:00-17:30 (Beijing time), Wednesday, 22 June, 2022.

 

Abstract

Electromagnetic induction imaging (EMI) allows mapping of the conductivity of target objects and, when combined with appropriate algorithms, the generation of full 3D tomographic images.  Despite its tremendous potential, and the wealth of possible applications, for a long time the use of EMI was hampered by the lack of suitable sensors, with high sensitivity at low frequency. The use of atomic magnetometers (AMs) was shown to overcome such a limitation and, in conjunction with machine learning techniques, opened the path to new applications of EMI. This talk discusses recent results on EMI-AMs obtained with hot vapour magnetometers, as well as ongoing work   with ultra-cold atoms and Bose-Einstein condensates, highlighting the potential extreme resolution obtainable.

About the Reporter

Ferruccio Renzoni studied Physics at the University of Pisa (Italy) where he obtained his M.Sc. in 1993. He obtained his Ph.D. from the Technische Universitaet Graz (Austria) in 1998. He then spent two years in Germany, at the Institut fuer Laserphysik of the University of Hamburg, and three years in France, at the Laboratoire Kastler Brossel (Ecole Normale Superieure, Paris), where he obtained his Habilitation a diriger des recherches. Since 2003 he has been at the Department of Physics and Astronomy of the University College London, where he leads a research group covering several topics in atomic magnetometry, cold atom physics, and nonlinear dynamics.

 

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