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Academic Journal
Discovery of Two Ultra-diffuse Galaxies with Unusually Bright Globular Cluster Luminosity Functions via a Mark-dependently Thinned Point Process (MATHPOP)
Dayi (David) Li, Gwendolyn M. Eadie, Patrick E. Brown, William E. Harris, Roberto G. Abraham, Pieter van Dokkum, Steven R. Janssens, Samantha C. Berek, Shany Danieli, Aaron J. Romanowsky, Joshua S. Speagle
The Astrophysical Journal, Vol 984, Iss 2, p 147 (2025)
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| Title | Discovery of Two Ultra-diffuse Galaxies with Unusually Bright Globular Cluster Luminosity Functions via a Mark-dependently Thinned Point Process (MATHPOP) |
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| Authors | Dayi (David) Li, Gwendolyn M. Eadie, Patrick E. Brown, William E. Harris, Roberto G. Abraham, Pieter van Dokkum, Steven R. Janssens, Samantha C. Berek, Shany Danieli, Aaron J. Romanowsky, Joshua S. Speagle |
| Publication Year |
2025
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| Source |
The Astrophysical Journal, Vol 984, Iss 2, p 147 (2025)
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| Description |
We present MArk-dependently THinned POint Process (M athpop) , a novel method to infer the globular cluster (GC) counts in ultra-diffuse galaxies (UDGs) and low-surface brightness galaxies (LSBGs). Many known UDGs have a surprisingly high ratio of GC number to surface brightness. However, standard methods to infer GC counts in UDGs face various challenges, such as photometric measurement uncertainties, GC membership uncertainties, and assumptions about the GC luminosity functions (GCLFs). M athpop tackles these challenges using the mark-dependent thinned point process, enabling joint inference of the spatial and magnitude distributions of GCs. In doing so, M athpop allows us to infer and quantify the uncertainties in both GC counts and GCLFs with minimal assumptions. As a precursor to M athpop , we also address the data uncertainties coming from the selection process of GC candidates: we obtain probabilistic GC candidates instead of the traditional binary classification based on the color–magnitude diagram. We apply M athpop to 40 LSBGs in the Perseus cluster using GC catalogs from a Hubble Space Telescope imaging program. We then compare our results to those from an independent study using the standard method. We further calibrate and validate our approach through extensive simulations. Our approach reveals two LSBGs having GCLF turnover points much brighter than the canonical value with Bayes’ factor being ∼4.5 and ∼2.5, respectively. An additional crude maximum-likelihood estimation and simulation study show that their GCLF TO points are approximately 0.9 mag and 1.1 mag brighter than the canonical value, with p -values of ∼10 ^−8 and ∼10 ^−5 , respectively.
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| Document Type |
article
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| Language |
English
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| Publisher Information |
IOP Publishing, 2025.
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| Subject Terms | |
