Skip navigation
Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01ms35t876b
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorTurner, Edwin Len_US
dc.contributor.authorBrandt, Timothy Daviden_US
dc.contributor.otherAstrophysical Sciences Departmenten_US
dc.date.accessioned2013-12-07T23:15:21Z-
dc.date.available2013-12-07T23:15:21Z-
dc.date.issued2013en_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01ms35t876b-
dc.description.abstractHundreds of planets have recently been discovered around other stars, revealing a startling diversity of planetary systems. However, these exoplanets lie almost exclusively within a few astronomical units (AU) of their host stars. A full picture of planet formation also requires a census and statistical analysis of planets at wide separations. This thesis uses the SEEDS direct imaging survey, together with archival data, to search for massive, >~5 M_J companions tens of AU from their host stars. These objects are not sufficiently massive to fuse hydrogen, and simply cool and fade as they radiate away their heat of formation. As a result, SEEDS targets young, nearby stars using HiCIAO, a high-contrast infrared camera on the Subaru telescope. I first present an analysis of HiCIAO, deriving the distortion correction needed to reduce high-contrast data, and optimizing HiCIAO's entrance pupil to vastly improve its performance. I then describe ACORNS-ADI, software I have written to reduce HiCIAO data. This software includes several new algorithms that both improve its performance and efficiently compute each observation's sensitivity. I use ACORNS-ADI to uniformly reduce data from the SEEDS survey, including images of members of young moving groups and of debris disk hosts. The ages of these stars, together with substellar cooling models, are needed to convert our sensitivities from luminosities to masses. I therefore present a uniform Bayesian analysis of all targets, deriving a posterior age distribution for each using both proposed moving group membership and observed stellar activity. Finally, I combine the published SEEDS results with additional archival imaging to assemble a diverse sample of nearly 200 stars. A statistical analysis of five brown dwarfs and massive exoplanets discovered by HiCIAO provides a limit of ~50--200 AU, depending on the models used, beyond which the distribution of exoplanets at small separations cannot extend. By treating massive planets and brown dwarfs together, I further suggest that currently known long-period exoplanets are not an extension of the short-period planetary distribution. Instead, they may represent a low-mass extension of the brown dwarf distribution function, formed by gravitational fragmentation in a cloud or circumstellar disk.en_US
dc.language.isoenen_US
dc.publisherPrinceton, NJ : Princeton Universityen_US
dc.relation.isformatofThe Mudd Manuscript Library retains one bound copy of each dissertation. Search for these copies in the <a href=http://catalog.princeton.edu> library's main catalog </a>en_US
dc.subjectData Analysisen_US
dc.subjectExoplanetsen_US
dc.subjectStatisticsen_US
dc.subject.classificationAstrophysicsen_US
dc.titleA Census of Distant, Giant Exoplanetsen_US
dc.typeAcademic dissertations (Ph.D.)en_US
pu.projectgrantnumber690-2143en_US
Appears in Collections:Astrophysical Sciences

Files in This Item:
File Description SizeFormat 
Brandt_princeton_0181D_10805.pdf3.94 MBAdobe PDFView/Download


Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.