Statistical decision theory and adaptive optics

A rigorous approach to exoplanet detection

Luca Caucci, Harrison H Barrett, Nicholas Devaney, Jeffrey J Rodriguez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Statistical decision theory is applied to the problem of exoplanet detection with AO. We derive optimal observers for the detection of exoplanets in AO images. Theoretical results are verified by running simulation tests.

Original languageEnglish (US)
Title of host publicationOptics InfoBase Conference Papers
PublisherOptical Society of America
ISBN (Print)1557528381, 9781557528384
StatePublished - 2007
EventAdaptive Optics: Methods, Analysis and Applications, AO 2007 - Vancouver, Canada
Duration: Jun 18 2007Jun 18 2007

Other

OtherAdaptive Optics: Methods, Analysis and Applications, AO 2007
CountryCanada
CityVancouver
Period6/18/076/18/07

Fingerprint

statistical decision theory
planet detection
Adaptive optics
Decision theory
extrasolar planets
adaptive optics
optics
simulation

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

Cite this

Caucci, L., Barrett, H. H., Devaney, N., & Rodriguez, J. J. (2007). Statistical decision theory and adaptive optics: A rigorous approach to exoplanet detection. In Optics InfoBase Conference Papers Optical Society of America.

Statistical decision theory and adaptive optics : A rigorous approach to exoplanet detection. / Caucci, Luca; Barrett, Harrison H; Devaney, Nicholas; Rodriguez, Jeffrey J.

Optics InfoBase Conference Papers. Optical Society of America, 2007.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Caucci, L, Barrett, HH, Devaney, N & Rodriguez, JJ 2007, Statistical decision theory and adaptive optics: A rigorous approach to exoplanet detection. in Optics InfoBase Conference Papers. Optical Society of America, Adaptive Optics: Methods, Analysis and Applications, AO 2007, Vancouver, Canada, 6/18/07.
Caucci L, Barrett HH, Devaney N, Rodriguez JJ. Statistical decision theory and adaptive optics: A rigorous approach to exoplanet detection. In Optics InfoBase Conference Papers. Optical Society of America. 2007
Caucci, Luca ; Barrett, Harrison H ; Devaney, Nicholas ; Rodriguez, Jeffrey J. / Statistical decision theory and adaptive optics : A rigorous approach to exoplanet detection. Optics InfoBase Conference Papers. Optical Society of America, 2007.
@inproceedings{a168f301c92f46e8b10cf12e9a5e6b46,
title = "Statistical decision theory and adaptive optics: A rigorous approach to exoplanet detection",
abstract = "Statistical decision theory is applied to the problem of exoplanet detection with AO. We derive optimal observers for the detection of exoplanets in AO images. Theoretical results are verified by running simulation tests.",
author = "Luca Caucci and Barrett, {Harrison H} and Nicholas Devaney and Rodriguez, {Jeffrey J}",
year = "2007",
language = "English (US)",
isbn = "1557528381",
booktitle = "Optics InfoBase Conference Papers",
publisher = "Optical Society of America",

}

TY - GEN

T1 - Statistical decision theory and adaptive optics

T2 - A rigorous approach to exoplanet detection

AU - Caucci, Luca

AU - Barrett, Harrison H

AU - Devaney, Nicholas

AU - Rodriguez, Jeffrey J

PY - 2007

Y1 - 2007

N2 - Statistical decision theory is applied to the problem of exoplanet detection with AO. We derive optimal observers for the detection of exoplanets in AO images. Theoretical results are verified by running simulation tests.

AB - Statistical decision theory is applied to the problem of exoplanet detection with AO. We derive optimal observers for the detection of exoplanets in AO images. Theoretical results are verified by running simulation tests.

UR - http://www.scopus.com/inward/record.url?scp=84898823727&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84898823727&partnerID=8YFLogxK

M3 - Conference contribution

SN - 1557528381

SN - 9781557528384

BT - Optics InfoBase Conference Papers

PB - Optical Society of America

ER -