Statistical Decision Theory and Adaptive Optics: A Rigorous Approach to Exoplanet Detection

Luca Caucci; Harrison H. Barrett; Nicholas Devaney; Jeffrey J. Rodríguez

Statistical Decision Theory and Adaptive Optics: A Rigorous Approach to Exoplanet Detection

Luca Caucci, Harrison H. Barrett, Nicholas Devaney, Jeffrey J. Rodríguez

Medical Imaging

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Adaptive Optics
Subtitle of host publication	Methods, Analysis and Applications, AO 2007
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Electronic)	1557528381
State	Published - 2007
Event	Adaptive Optics: Methods, Analysis and Applications, AO 2007 - Vancouver, Canada Duration: Jun 18 2007 → Jun 18 2007

Publication series

Name	Optics InfoBase Conference Papers
ISSN (Electronic)	2162-2701

Other

Other	Adaptive Optics: Methods, Analysis and Applications, AO 2007
Country/Territory	Canada
City	Vancouver
Period	6/18/07 → 6/18/07

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

Statistical Decision Theory and Adaptive Optics: A Rigorous Approach to Exoplanet Detection. / Caucci, Luca; Barrett, Harrison H.; Devaney, Nicholas et al.
Adaptive Optics: Methods, Analysis and Applications, AO 2007. Optica Publishing Group (formerly OSA), 2007. ATuA5 (Optics InfoBase Conference Papers).

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

Caucci, L, Barrett, HH, Devaney, N & Rodríguez, JJ 2007, Statistical Decision Theory and Adaptive Optics: A Rigorous Approach to Exoplanet Detection. in Adaptive Optics: Methods, Analysis and Applications, AO 2007., ATuA5, Optics InfoBase Conference Papers, Optica Publishing Group (formerly OSA), Adaptive Optics: Methods, Analysis and Applications, AO 2007, Vancouver, Canada, 6/18/07.

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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 Rodr{\'i}guez, \{Jeffrey J.\}",

note = "Publisher Copyright: {\textcopyright} 2007 Optical Society of America.; Adaptive Optics: Methods, Analysis and Applications, AO 2007 ; Conference date: 18-06-2007 Through 18-06-2007",

year = "2007",

language = "English (US)",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "Adaptive Optics",

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TY - GEN

T1 - Statistical Decision Theory and Adaptive Optics

T2 - Adaptive Optics: Methods, Analysis and Applications, AO 2007

AU - Caucci, Luca

AU - Barrett, Harrison H.

AU - Devaney, Nicholas

AU - Rodríguez, 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 - https://www.scopus.com/pages/publications/85136205838

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M3 - Conference contribution

AN - SCOPUS:85136205838

T3 - Optics InfoBase Conference Papers

BT - Adaptive Optics

PB - Optica Publishing Group (formerly OSA)

Y2 - 18 June 2007 through 18 June 2007

ER -

Statistical Decision Theory and Adaptive Optics: A Rigorous Approach to Exoplanet Detection

Abstract

Publication series

Other

ASJC Scopus subject areas

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