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Related Concept Videos

Interference and Diffraction02:18

Interference and Diffraction

Interference is a characteristic phenomenon exhibited by waves. When two electromagnetic waves interact with their peaks and troughs coinciding, a resulting wave with enhanced amplitude is produced. This is known as constructive interference. In this case, the two waves interacting are in phase with each other.
Atomic Absorption Spectroscopy: Interference01:25

Atomic Absorption Spectroscopy: Interference

Interference leads to systematic error in atomic absorption (AA) measurements by enhancing or diminishing the analytical signal or the background. These interferences can be grouped into three main categories: spectral interference, chemical interference, and physical interference.
Spectral interference occurs when signals from other elements or molecules overlap with the analyte signal, falsely elevating or masking the analyte's absorbance. This interference can be corrected using Zeeman,...
Atomic Emission Spectroscopy: Interference01:30

Atomic Emission Spectroscopy: Interference

In atomic emission spectroscopy (AES), high-temperature atomizers excite a broad range of elements and molecules that generate complex emissions from sources such as oxides, hydroxides, and flame combustion products in the flame or plasma. Several strategies can be employed to minimize spectral interferences caused by overlapping emission lines or bands. These include increasing instrument resolution, choosing alternative emission lines, optimally placing the detector in low-background regions,...
IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

A covalently bonded heteronuclear diatomic molecule can be modeled as two vibrating masses connected by a spring. The vibrational frequency of the bond can be expressed using an equation derived from Hooke's law, which describes how the force applied to stretch or compress a spring is proportional to the displacement of the spring. In this case, the atoms behave like masses, and the bond acts like a spring.
According to Hooke's law, the vibrational frequency is directly proportional to the...
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...
Polar Curves01:19

Polar Curves

The spirograph is a versatile tool for visualizing the relationship between geometry and mathematical representation. In particular, it demonstrates how polar coordinates offer an alternative framework for describing curves in comparison to Cartesian coordinates. Instead of specifying a point by its horizontal and vertical displacements (x, y), polar coordinates use a radius r, the distance from the origin, and an angle θ, measured counterclockwise from the polar axis. This system is...

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Related Experiment Video

Updated: Jun 13, 2026

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
12:19

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

Polynomial fit of interferograms.

C J Kim

    Applied Optics
    |April 20, 2010
    PubMed
    Summary

    This study quantifies polynomial fit errors in interferograms. It explores orthonormal polynomials and methods for analyzing complex apertures and stitching subaperture data for surface figure error measurement.

    Area of Science:

    • Optical Engineering
    • Metrology
    • Computational Optics

    Background:

    • Interferometry is crucial for precise surface metrology.
    • Polynomial fitting is a common technique for analyzing interferogram data.
    • Understanding and mitigating fitting errors is essential for accurate measurements.

    Purpose of the Study:

    • To quantitatively analyze errors associated with polynomial fitting of interferograms.
    • To present the advantages of using orthonormal polynomials in interferogram analysis.
    • To explore methods for analyzing noncircular apertures and stitching subaperture data.

    Main Methods:

    • Quantitative analysis of polynomial fit errors (fit, digitization, roundoff, finite sampling).
    • Definition and comparison of best and relative reference wavefronts.

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    The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
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    The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

    Published on: August 12, 2013

    Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating
    10:39

    Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating

    Published on: October 11, 2016

    Related Experiment Videos

    Last Updated: Jun 13, 2026

    Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
    12:19

    Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

    Published on: April 4, 2017

    The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
    12:14

    The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

    Published on: August 12, 2013

    Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating
    10:39

    Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating

    Published on: October 11, 2016

  • Simulation of Zernike polynomial fitting for annular aperture interferograms.
  • Introduction of a subaperture stitching method for surface figure error determination.
  • Main Results:

    • Errors inherent in polynomial fitting are systematically explained.
    • Orthonormal polynomials offer advantages for interferogram analysis.
    • Zernike polynomials can be simulated for annular apertures.
    • Subaperture stitching provides a viable method for large optic testing.

    Conclusions:

    • Accurate interferogram analysis requires careful consideration of various polynomial fitting errors.
    • Orthonormal polynomials and appropriate reference wavefronts enhance measurement accuracy.
    • Advanced techniques like Zernike polynomial analysis and subaperture stitching extend interferometric capabilities.