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Activity Number: 316 - Advances in Astrostatistics in the Great White North
Type: Invited
Date/Time: Tuesday, August 9, 2022 : 2:00 PM to 3:50 PM
Sponsor: SSC (Statistical Society of Canada)
Abstract #323883
Title: Light from the Darkness: Detecting Ultra-Diffuse Galaxies in the Perseus Cluster Using Log-Gaussian Cox Process
Author(s): Dayi (David) Li*
Companies: University of Toronto

In this talk, I introduce a novel application of the log-Gaussian Cox process to detect ultra-diffuse galaxies using their associated globular cluster populations. My collaborators and I apply the method to the globular cluster data obtained from the PIPER survey, a Hubble Space Telescope imaging program targeting the Perseus cluster. We successfully detect all confirmed ultra-diffuse galaxies with known globular cluster populations in the survey. We also identify a potential galaxy that has no detected diffuse stellar content. Preliminary analysis shows that it is unlikely to be merely an accidental clump of globular clusters or other objects. If confirmed, this system would be the first of its kind. Simulations are used to assess how the physical parameters of the globular cluster systems within ultra-diffuse galaxies affect their detectability using our method. We quantify the correlation of the detection probability with the total number of globular clusters in the galaxy and the anti-correlation with increasing half-number radius of the globular cluster system. The Sersic index of the globular cluster distribution has little impact on detectability.

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

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