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Gauss's Law: Planar Symmetry01:27

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A planar symmetry of charge density is obtained when charges are uniformly spread over a large flat surface. In planar symmetry, all points in a plane parallel to the plane of charge are identical with respect to the charges. Suppose the plane of the charge distribution is the xy-plane, and the electric field at a space point P with coordinates (x, y, z) is to be determined. Since the charge density is the same at all (x, y) - coordinates in the z = 0 plane, by symmetry, the electric field at P...
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A charge distribution has spherical symmetry if the density of charge depends only on the distance from a point in space and not on the direction. In other words, if the system is rotated, it doesn't look different. For instance, if a sphere of radius R is uniformly charged with charge density ρ0, then the distribution has spherical symmetry. On the other hand, if a sphere of radius R is charged so that the top half of the sphere has a uniform charge density ρ1 and the bottom half has a...
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Human Visual Sensitivity to Plumes with a Gaussian.

David M Ross1, William C Malm2, Hariharan K Iyer3

  • 1a Cooperative Institute for Research in the Atmosphere, Colorado State University , Fort Collins , Colorado.

Journal of the Air & Waste Management Association (1995)
|October 31, 2017
PubMed
Summary
This summary is machine-generated.

This study developed the Probability of Detection (PROBDET) algorithm to predict human visual sensitivity to plumes. PROBDET estimates the likelihood of detecting plumes based on their size, shape, and contrast.

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Area of Science:

  • Vision science
  • Human visual perception
  • Environmental monitoring

Background:

  • Human visual sensitivity is crucial for detecting environmental phenomena like plumes.
  • Existing models may not fully capture visual detection probabilities under various conditions.
  • Understanding factors influencing visual sensitivity is key for accurate plume detection.

Purpose of the Study:

  • To develop an empirical model for predicting human visual sensitivity to plumes.
  • To create the Probability of Detection (PROBDET) algorithm.
  • To assess the impact of plume characteristics on visual detection.

Main Methods:

  • Conducted laboratory experiments using a high threshold signal detection procedure.
  • Utilized computer-generated plume images with Gaussian luminance distributions.
  • Compared results with contrast sensitivity experiments using square and sine wave stimuli.

Main Results:

  • Developed the PROBDET algorithm to estimate visual detection probability.
  • Quantified human visual sensitivity to plumes based on size, shape, and contrast.
  • Demonstrated PROBDET's utility in assessing detection probability changes with varying parameters.

Conclusions:

  • The PROBDET algorithm provides a tool for predicting visual plume detection.
  • Visual sensitivity is influenced by stimulus luminance, distribution, and spatial characteristics.
  • This research enhances understanding of the human visual system's role in plume detection.