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The halo effect is a cognitive bias in which an individual's overall impression influences judgments about their specific traits. This psychological phenomenon leads people to associate positive characteristics with those they perceive as generally good and negative characteristics with those they view as bad. This effect is particularly influential in social perception, professional evaluations, and decision-making processes.The Psychological Basis of the Halo EffectThe halo effect is rooted...
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Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...

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Related Experiment Video

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Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Approach to photorealistic halo simulations.

Stanley David Gedzelman1

  • 1Department of Earth and Atmospheric Sciences and NOAA CREST Center, City College of New York New York, New York 10031, USA. sgedzelman@ccny.cuny.edu

Applied Optics
|October 22, 2011
PubMed
Summary
This summary is machine-generated.

A new Monte Carlo model simulates atmospheric halos with near-photographic quality. It reveals that specific crystal shapes and orientations in clouds are crucial for producing rare halo displays like Kern's arc.

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Area of Science:

  • Atmospheric optics
  • Computational physics
  • Climate science

Background:

  • Halo displays are complex optical phenomena caused by ice crystals in the atmosphere.
  • Previous models often lacked the fidelity to reproduce realistic halo imagery and specific rare events.

Purpose of the Study:

  • To develop a sophisticated multiple-scattering Monte Carlo model for simulating high-quality halo images.
  • To investigate the atmospheric conditions and crystal properties necessary for generating various halo displays, including rare ones.

Main Methods:

  • Developed a Monte Carlo model incorporating Rayleigh and Lorentz-Mie scattering, an ozone layer, and aerosol particles.
  • Simulated halos using hexagonal or pyramidal ice crystals, considering geometric optics and including 'junk' crystals.
  • Sorted light beams by scattering events to differentiate halo and sky components for image generation.

Main Results:

  • The model successfully generated near-photographic quality images of halo displays.
  • Multiple scattering was found to generally degrade halo visibility, but specific conditions enabled rare halos.
  • Identical crystal shapes and high orientation in optically thick clouds are key for rare halos like Kern's arc.

Conclusions:

  • The developed model provides a powerful tool for studying atmospheric optical phenomena.
  • Understanding crystal properties and atmospheric conditions is vital for simulating and comprehending halo displays.
  • The model's byproduct, albedo, has potential applications in climate studies.