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Related Experiment Video

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Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

Experimental compressive phase space tomography.

Lei Tian¹, Justin Lee, Se Baek Oh

¹Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA. lei_tian@mit.edu

|April 20, 2012

Summary

This summary is machine-generated.

This study demonstrates compressive reconstruction for optical correlation functions. The new method improves mutual intensity estimates by assuming low-entropy sources, outperforming traditional techniques.

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Area of Science:

Optics
Quantum Optics
Information Theory

Background:

Phase space tomography estimates correlation functions from wave function evolution snapshots.
Traditional interferometric methods require multiple two-point correlation measurements.
Undersampling is a significant limitation in tomographic methods.

Purpose of the Study:

To experimentally demonstrate compressive reconstruction of the classical optical correlation function (mutual intensity function).
To validate a compressive algorithm utilizing the low-entropy source assumption.
To compare the performance of compressive reconstruction against traditional methods.

Main Methods:

Experimental implementation of phase space tomography.
Development and application of a compressive reconstruction algorithm.
Utilizing a low-entropy source assumption for algorithm design.
Comparison with ground-truth estimates derived from the van Cittert-Zernike theorem.

Main Results:

Successful experimental demonstration of compressive reconstruction for mutual intensity.
Substantial quantitative improvements in reconstruction accuracy were verified.
The compressive approach showed significant advantages over traditional methods.

Conclusions:

Compressive reconstruction offers a powerful approach for estimating optical correlation functions.
The low-entropy source assumption is physically justifiable and enhances reconstruction.
This technique provides a more efficient and accurate alternative to traditional interferometry.