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Activity Number: 335
Type: Invited
Date/Time: Tuesday, August 11, 2015 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract #314544 View Presentation
Title: Gaussian Process Modeling of Irregularly Observed Periodic Functions with Applications to Period Luminosity Relations in Astronomy
Author(s): Shiyuan He and Wenlong Yuan and James Patrick Long* and Lucas Macri and Jianhua Huang
Companies: Texas A&M University and Texas A&M University and Texas A&M University and Texas A&M University and Texas A&M University
Keywords: astronomy ; period estimation ; functional data ; gaussian processes ;
Abstract:

We use Gaussian Processes (GP) to model sparsely observed periodic functions. The problem arises from astronomy where each function represents a star's brightness. The GP model improves period estimation accuracy over existing algorithms used in astronomy. Using the periods determined by the GP model, we estimate period--luminosity relations for long period variable stars as a means of obtaining a distance estimate to the galaxy M33.

Authors who are presenting talks have a * after their name.

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