Maximizing the information gain of a single ion microscope using bayes experimental design

Georg Jacob; Karin Groot-Berning; Ulrich G. Poschinger; Ferdinand Schmidt-Kaler; Kilian Singer

doi:10.1117/12.2227745

29 April 2016 Maximizing the information gain of a single ion microscope using bayes experimental design

Georg Jacob, Karin Groot-Berning, Ulrich G. Poschinger, Ferdinand Schmidt-Kaler, Kilian Singer

Proceedings Volume 9900, Quantum Optics; 99001A (2016) https://doi.org/10.1117/12.2227745
Event: SPIE Photonics Europe, 2016, Brussels, Belgium

Abstract

We demonstrate nanoscopic transmission microscopy, using a deterministic single particle source, and compare the resulting images in terms of signal-to-noise ratio with those of conventional Poissonian sources. Our source is realized by deterministic extraction of laser-cooled calcium ions from a Paul trap. Gating by the extraction event allows for the suppression of detector dark counts by six orders of magnitude. Using the Bayes experimental design method, the deterministic characteristics of this source are harnessed to maximize information gain, when imaging structures with a parametrizable transmission function. We demonstrate such optimized imaging by determining parameter values of one and two dimensional transmissive structures.

Citation Download Citation

Georg Jacob, Karin Groot-Berning, Ulrich G. Poschinger, Ferdinand Schmidt-Kaler, and Kilian Singer "Maximizing the information gain of a single ion microscope using bayes experimental design", Proc. SPIE 9900, Quantum Optics, 99001A (29 April 2016); https://doi.org/10.1117/12.2227745

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