1. An analytical model for the celestial distribution of polarized light, accounting for polarization singularities, wavelength and atmospheric turbidity
- Author
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Jun Gao, Xin Wang, Nicholas W. Roberts, and Zhiguo Fan
- Subjects
030110 physiology ,0301 basic medicine ,010504 meteorology & atmospheric sciences ,media_common.quotation_subject ,01 natural sciences ,03 medical and health sciences ,Optics ,Atmospheric radiative transfer codes ,neutral points ,Radiative transfer ,Rayleigh sky model ,navigation ,0105 earth and related environmental sciences ,media_common ,Physics ,business.industry ,scattering ,Polarization (waves) ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials ,Wavelength ,radiative transfer ,Sky ,Degree of polarization ,Gravitational singularity ,sunlight ,business - Abstract
We present a computationally inexpensive analytical model for simulating celestial polarization patterns in variable conditions. We combine both the singularity theory of Berry et al (2004 New J. Phys. 6 162) and the intensity model of Perez et al (1993 Sol. Energy 50 235–245) such that our single model describes three key sets of data: (1) the overhead distribution of the degree of polarization as well as the existence of neutral points in the sky; (2) the change in sky polarization as a function of the turbidity of the atmosphere; and (3) sky polarization patterns as a function of wavelength, calculated in this work from the ultra-violet to the near infra-red. To verify the performance of our model we generate accurate reference data using a numerical radiative transfer model and statistical comparisons between these two methods demonstrate no significant difference in almost all situations. The development of our analytical model provides a novel method for efficiently calculating the overhead skylight polarization pattern. This provides a new tool of particular relevance for our understanding of animals that use the celestial polarization pattern as a source of visual information.
- Published
- 2016