Search research articles

Related Concept Videos

Potential Due to a Polarized Object

Potential Due to a Polarized Object

A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Techniques and technologies for shroud and baffle design in reflective triplet freeform telescopes.

Applied optics·2026

Same author

Transparent Wood for Passive Radiative Cooling of Solar Absorbers.

Nano letters·2025

Same author

Self-Assembly of Soft and Conformable Broadband Absorbing Nanocellulose-Gold Nanoparticle Composites.

ACS applied materials & interfaces·2024

Same author

Determinants of Intravenous Infusion Longevity and Infusion Failure via a Nonlinear Model Analysis of Smart Pump Event Logs: Retrospective Study.

JMIR AI·2024

Same author

Iridescence Mimicking in Fabrics: A Ultraviolet/Visible Spectroscopy Study.

Biomimetics (Basel, Switzerland)·2024

Same author

Cellulose-Based Radiative Cooling and Solar Heating Powers Ionic Thermoelectrics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2023

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jun 5, 2026

In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation

In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation

Published on: March 2, 2021

Four-parameter model for polarization-resolved rough-surface BRDF.

Ingmar G E Renhorn¹, Tomas Hallberg, David Bergström

¹FOI-Swedish Defense Research Agency, Linköping, Sweden. ingmar.renhorn@foi.se

|January 26, 2011

Summary

This study presents a four-parameter model to accurately predict polarized Bidirectional Reflectance Distribution Function (BRDF) for rough surfaces. The model simplifies complex surface reflectance data for improved optical analysis.

More Related Videos

Polarization-Sensitive Two-Photon Microscopy for a Label-Free Amyloid Structural Characterization

Polarization-Sensitive Two-Photon Microscopy for a Label-Free Amyloid Structural Characterization

Published on: September 8, 2023

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

Related Experiment Videos

Last Updated: Jun 5, 2026

In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation

In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation

Published on: March 2, 2021

Polarization-Sensitive Two-Photon Microscopy for a Label-Free Amyloid Structural Characterization

Polarization-Sensitive Two-Photon Microscopy for a Label-Free Amyloid Structural Characterization

Published on: September 8, 2023

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

Area of Science:

Optics and Photonics
Materials Science
Surface Characterization

Background:

Bidirectional Reflectance Distribution Function (BRDF) is crucial for understanding surface optical properties.
Existing BRDF models can be complex and require extensive data.
Polarization-resolved BRDF offers more detailed surface information.

Purpose of the Study:

To develop a simplified yet accurate model for polarization-resolved BRDF.
To reduce the number of parameters needed for surface reflectance characterization.
To enable precise prediction of s- and p-polarized BRDF for rough surfaces.

Main Methods:

A novel modeling procedure using four key parameters was developed.
Parameters include effective refractive index (real and imaginary parts), grazing incidence absorption, and angular-scattering parameter.
Measurements involved Directional Hemispherical Reflectance (DHR) and BRDF at a selected angle.

Main Results:

The four-parameter model accurately represents polarization-resolved BRDF data.
Accurate predictions of s- and p-polarized BRDF were achieved for painted rough surfaces.
The model demonstrated a wide dynamic range (three decades) in BRDF magnitude.
The model conserves energy and satisfies reciprocity criteria.

Conclusions:

A computationally efficient and accurate model for BRDF prediction is established.
The model simplifies surface characterization by reducing required parameters.
This approach enhances the understanding and prediction of light-surface interactions.