Time Lens Photon Doppler Velocimetry (TL-PDV) for extreme measurements

Velat Kilic, Christopher S. DiMarco, Jacob M. Diamond, Pinghan Chu, K. T. Ramesh, Zhehui Wang () and Mark A. Foster ()
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Velat Kilic: Johns Hopkins University
Christopher S. DiMarco: Johns Hopkins University
Jacob M. Diamond: Johns Hopkins University
Pinghan Chu: Los Alamos National Laboratory
K. T. Ramesh: Johns Hopkins University
Zhehui Wang: Los Alamos National Laboratory
Mark A. Foster: Johns Hopkins University

Nature Communications, 2024, vol. 15, issue 1, 1-8

Abstract: Abstract Capturing extreme surface velocities with >50 km/s dynamic range, which arise in shock physics such as inertial confinement fusion (ICF), is beyond the reach of conventional photon Doppler velocimetry (PDV) systems due to the need for extremely large electrical bandwidth under such conditions. The recent ignition in ICF calls for new velocimetry that can measure velocities exceeding 100 km/s. Time lens PDV (TL-PDV) is a solution where the high frequency beat signal from a conventional PDV system is periodically temporally magnified in the optical domain using a time lens. Here we experimentally demonstrate TL-PDV for the first time, validate the performance over a 74 km/s velocity range with high accuracy using a temporal magnification factor of 7.6, and verify excellent agreement with conventional PDV for laser driven micro-flyer experiments. TL-PDV currently provides the largest velocity dynamic range among PDV systems and is scalable to even higher velocities, which makes it an ideal candidate for material characterization under the most extreme conditions such as optimizing fuel efficiency in ICF experiments.

Date: 2024
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DOI: 10.1038/s41467-024-52094-y

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