Abstract

The set of linear equations in the inversion of the particle size distribution (PSD) based on light diffraction is an ill-posed problem. To solve this problem, a technique based on the similarity measure between the measured vector and the column vectors of the matrix is studied and is tested by numerical simulations and experiments. An iterative method based on the vector similarity measurement (VSM) is proposed to predict the peaks of the PSD in steps. Simulations of the mono/bi-modal particle systems are discussed. It is found that the VSM technique can predict the PSD with low sensitivity to the experimental errors.

© 2015 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Modified iterative vector similarity measure for particle size analysis based on forward light scattering

Tian’en Wang, Jianqi Shen, and Chengjun Lin
Appl. Opt. 55(23) 6183-6192 (2016)

Smoothness-constrained projection method for particle analysis based on forward light scattering

Jianqi Shen, Bin Yu, Huarui Wang, Haitao Yu, and Yehuan Wei
Appl. Opt. 47(11) 1718-1728 (2008)

Inversion method based on stochastic optimization for particle sizing

Juan Jaime Sánchez-Escobar, Liliana Ibeth Barbosa-Santillán, Javier Vargas-Ubera, and Félix Aguilar-Valdés
Appl. Opt. 55(22) 5806-5813 (2016)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Figures (8)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Equations (19)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Metrics

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription