scholarly journals The Cornell High-Order Adaptive Optics Survey for Brown Dwarfs in Stellar Systems. II. Results from Monte Carlo Population Analyses

2006 ◽  
Vol 132 (3) ◽  
pp. 1146-1152 ◽  
Author(s):  
J. C. Carson ◽  
S. S. Eikenberry ◽  
J. J. Smith ◽  
J. M. Cordes
2003 ◽  
Vol 211 ◽  
pp. 271-274 ◽  
Author(s):  
Joseph Carson ◽  
Stephen Eikenberry ◽  
Bernhard Brandl ◽  
J. C. Wilson ◽  
T. L. Hayward

The Cornell High-order Adaptive Optics Survey for brown dwarfs (CHAOS), currently about 90% complete, uses the Palomar Hale Telescope's adaptive optics system to survey 80 bright stars out to 13 parsecs. Using the telescope's AO Science camera, brown dwarf companions 4–200 AU can be identified using coronagraphic imaging and spectroscopic modes. We will be using monte carlo simulations to create population models consistent with the CHAOS data set.Currently, we have observed 70 systems out of a target sample of 80. Five candidate companions await follow-up observations. As of now, no systems in the target sample have shown strong evidence of having brown dwarf companions. These early results support previous speculations of a “brown dwarf desert” at orbital separations out to 200 AU.While the target sources revealed no evidence of brown dwarf companions, accompanying observations of calibration stars provided evidence of an early methane dwarf candidate around the binary system HD150451AB. Forty seven parsecs from earth, the candidate indicated a projected orbital separation of 280 AU.


2005 ◽  
Vol 130 (3) ◽  
pp. 1212-1220 ◽  
Author(s):  
J. C. Carson ◽  
S. S. Eikenberry ◽  
B. R. Brandl ◽  
J. C. Wilson ◽  
T. L. Hayward

2018 ◽  
Vol 33 (12) ◽  
pp. 124012 ◽  
Author(s):  
José Manuel Iglesias ◽  
El Mokhtar Hamham ◽  
Elena Pascual ◽  
Raúl Rengel

2012 ◽  
Vol 231 (14) ◽  
pp. 4578-4596 ◽  
Author(s):  
Pouyan Jahangiri ◽  
Amir Nejat ◽  
Jila Samadi ◽  
Ali Aboutalebi

2008 ◽  
Author(s):  
Antonin H. Bouchez ◽  
Richard G. Dekany ◽  
John R. Angione ◽  
Christoph Baranec ◽  
Matthew C. Britton ◽  
...  

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