Multicanonical Monte Carlo of first- and second-order PMD

S. L. Fogal; W. L. Kath; G. Biondini

doi:10.1109/LEOSST.2003.1224304

Multicanonical Monte Carlo of first- and second-order PMD

S. L. Fogal, W. L. Kath, G. Biondini

Engineering Sciences and Applied Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

It is shown in this paper that the multicanonical Monte Carlo method can be used to simultaneously compute first- and second-order polarization mode dispersion (PMD) statistics, demonstrating that it has the potential to produce results similar to those obtained with importance sampling.

Original language	English (US)
Title of host publication	2003 IEEE/LEOS - Summer Topical Meeting
Subtitle of host publication	Holey Fibers and Photonic Crystals
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	33-34
Number of pages	2
ISBN (Electronic)	0780379829, 9780780379824
DOIs	https://doi.org/10.1109/LEOSST.2003.1224304
State	Published - 2003
Event	2003 IEEE/LEOS - Summer Topical Meeting - Vancouver, Canada Duration: Jul 14 2003 → Jul 16 2003

Publication series

Name	LEOS Summer Topical Meeting
Volume	2003-January
ISSN (Print)	1099-4742

Other

Other	2003 IEEE/LEOS - Summer Topical Meeting
Country/Territory	Canada
City	Vancouver
Period	7/14/03 → 7/16/03

Keywords

Birefringence
Discrete event simulation
Emulation
Equations
Mathematics
Monte Carlo methods
Polarization
Probability distribution
Random variables
Statistics

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering

Access to Document

10.1109/LEOSST.2003.1224304

Cite this

@inproceedings{6efcdccd256b4c04a9922f38fc12d5d9,

title = "Multicanonical Monte Carlo of first- and second-order PMD",

abstract = "It is shown in this paper that the multicanonical Monte Carlo method can be used to simultaneously compute first- and second-order polarization mode dispersion (PMD) statistics, demonstrating that it has the potential to produce results similar to those obtained with importance sampling.",

keywords = "Birefringence, Discrete event simulation, Emulation, Equations, Mathematics, Monte Carlo methods, Polarization, Probability distribution, Random variables, Statistics",

author = "Fogal, {S. L.} and Kath, {W. L.} and G. Biondini",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 2003 IEEE/LEOS - Summer Topical Meeting ; Conference date: 14-07-2003 Through 16-07-2003",

year = "2003",

doi = "10.1109/LEOSST.2003.1224304",

language = "English (US)",

series = "LEOS Summer Topical Meeting",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "33--34",

booktitle = "2003 IEEE/LEOS - Summer Topical Meeting",

address = "United States",

}

Fogal, SL, Kath, WL & Biondini, G 2003, Multicanonical Monte Carlo of first- and second-order PMD. in 2003 IEEE/LEOS - Summer Topical Meeting: Holey Fibers and Photonic Crystals., 1224304, LEOS Summer Topical Meeting, vol. 2003-January, Institute of Electrical and Electronics Engineers Inc., pp. 33-34, 2003 IEEE/LEOS - Summer Topical Meeting, Vancouver, Canada, 7/14/03. https://doi.org/10.1109/LEOSST.2003.1224304

Multicanonical Monte Carlo of first- and second-order PMD. / Fogal, S. L.; Kath, W. L.; Biondini, G.
2003 IEEE/LEOS - Summer Topical Meeting: Holey Fibers and Photonic Crystals. Institute of Electrical and Electronics Engineers Inc., 2003. p. 33-34 1224304 (LEOS Summer Topical Meeting; Vol. 2003-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Multicanonical Monte Carlo of first- and second-order PMD

AU - Fogal, S. L.

AU - Kath, W. L.

AU - Biondini, G.

PY - 2003

Y1 - 2003

N2 - It is shown in this paper that the multicanonical Monte Carlo method can be used to simultaneously compute first- and second-order polarization mode dispersion (PMD) statistics, demonstrating that it has the potential to produce results similar to those obtained with importance sampling.

AB - It is shown in this paper that the multicanonical Monte Carlo method can be used to simultaneously compute first- and second-order polarization mode dispersion (PMD) statistics, demonstrating that it has the potential to produce results similar to those obtained with importance sampling.

KW - Birefringence

KW - Discrete event simulation

KW - Emulation

KW - Equations

KW - Mathematics

KW - Monte Carlo methods

KW - Polarization

KW - Probability distribution

KW - Random variables

KW - Statistics

UR - http://www.scopus.com/inward/record.url?scp=84942944581&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84942944581&partnerID=8YFLogxK

U2 - 10.1109/LEOSST.2003.1224304

DO - 10.1109/LEOSST.2003.1224304

M3 - Conference contribution

AN - SCOPUS:84942944581

T3 - LEOS Summer Topical Meeting

SP - 33

EP - 34

BT - 2003 IEEE/LEOS - Summer Topical Meeting

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2003 IEEE/LEOS - Summer Topical Meeting

Y2 - 14 July 2003 through 16 July 2003

ER -

Multicanonical Monte Carlo of first- and second-order PMD

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this