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Related Concept Videos

Random Error01:04

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Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
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A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
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Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
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Digital spiral object identification using random light.

Zhe Yang1,2, Omar S Magaña-Loaiza2, Mohammad Mirhosseini2

  • 1State Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing 100084, China.

Light, Science & Applications
|September 1, 2018
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Summary
This summary is machine-generated.

This study shows how to identify object features using random light correlations, offering a robust, quantum-free method for remote sensing and imaging. This technique enhances object identification and phase information retrieval with fewer measurements.

Keywords:
object identificationorbital angular momentumrandom lightremote sensingsecond-order correlation

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Area of Science:

  • Optics and Photonics
  • Quantum Optics
  • Image Processing

Background:

  • Correlated photons in orbital angular momentum are vital for remote sensing and imaging.
  • Intensity fluctuations in random light can induce orbital angular momentum correlations.

Purpose of the Study:

  • To demonstrate object identification and phase retrieval using classical orbital angular momentum correlations in random light.
  • To showcase a novel remote sensing technique that bypasses the need for quantum states.

Main Methods:

  • Utilizing classical orbital angular momentum correlations in random light to probe objects.
  • Analyzing Fourier components in the digital spiral spectrum via intensity correlations.
  • Comparing the technique to conventional compressive sensing protocols.

Main Results:

  • Successfully identified spatial signatures and phase information of objects with rotational symmetries.
  • The method requires fewer measurements than traditional pixel-by-pixel imaging.
  • Demonstrated robustness against environmental noise and operation at various light levels.

Conclusions:

  • Classical orbital angular momentum correlations in random light offer a practical and robust approach for remote sensing.
  • The technique provides a non-quantum alternative for object identification and phase information extraction.
  • This method advances compressive sensing by enabling efficient remote sensing without fragile quantum states.