Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Reviews of Modern Physics

The Corpuscular Properties of Light

Arthur Holly Compton

Published Jul 1, 1929• 8 citations
Publisher
DOI
10.1103/revmodphys.1.74

Related papers

Interference and Corpuscular Light

Louis de Broglie

Nature•Sep 1, 1926•60 citations

Corpuscular character of the light and time delay in the process of stimulated emission

J. Krása, M. V. Lokajíček

Physics Letters A•Aug 1, 1989•0 citations

Optics

Al Lens

The two main theories of light travel are the corpuscular theory and the wave theory. It is uncertain which theory is correct, but it seems that light has both properties.

CRC Press eBooks•May 30, 2024•0 citations

Towards a corpuscular model of optical phenomena

Fengping Jin

•Jan 1, 2011•0 citations

The Properties of Light

Richard F. Haglund

Springer eBooks•Jan 1, 2012•2 citations

Stochastic and corpuscular theory of (polarized) light

J Procházka

Abstract Both the corpuscular theory of light and the theory of stochastic processes are well known in the literature. However, they are not systematically used together for description of optical phenomena. There are optical phenomena, such as the well-known three-polarizer experiment or other phenomena related to polarization of light, which have never been quantitatively and qualitatively explained using the concept of quantum of light (photon). The situation changed in 2022 when stochastic memoryless and independent (IM) process formulated within the framework of the theory of stochastic processes was introduced. It is suitable for determination of probability (density) functions characterizing interaction (transmission or reflection) of individual photons with optical elements on the basis of experimental data. The process has memoryless (Markov) property, and it is assumed that the interactions of individual photons with an optical system are independent. Formulae needed for analysis of data in the context of polarization of light are derived. An example analysis of the three-polarizer experiment is performed and numerical result of the probability (density) functions are determined. These original results were missing in the literature. The results imply that the possibilities of the corpuscular theory of light to describe optical phenomena can be significantly extended with the help of stochastic IM process and the theory of stochastic processes in general.

arXiv:2204.10280•The European Physical Journal Plus•Aug 7, 2023•1 citation
Abstract Both the corpuscular theory of light and the theory of stochastic processes are well known in the literature. However, they are not systematically used together for description of optical phenomena. There are optical phenomena, such as the well-known three-polarizer experiment or other phenomena related to polarization of light, which have never been quantitatively and qualitatively explained using the concept of quantum of light (photon). The situation changed in 2022 when stochastic memoryless and independent (IM) process formulated within the framework of the theory of stochastic processes was introduced. It is suitable for determination of probability (density) functions characterizing interaction (transmission or reflection) of individual photons with optical elements on the basis of experimental data. The process has memoryless (Markov) property, and it is assumed that the interactions of individual photons with an optical system are independent. Formulae needed for analysis of data in the context of polarization of light are derived. An example analysis of the three-polarizer experiment is performed and numerical result of the probability (density) functions are determined. These original results were missing in the literature. The results imply that the possibilities of the corpuscular theory of light to describe optical phenomena can be significantly extended with the help of stochastic IM process and the theory of stochastic processes in general.