Clearing the Hurdle: The Mass of Globular Cluster Systems as a Function of Host Galaxy Mass

Eadie, Gwendolyn; Harris, William E.; Springford, Aaron

doi:10.3847/1538-4357/ac33b0

Cited by 27 publications

(19 citation statements)

References 88 publications

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“…Regardless of the selection criteria, we find that the number of GCs steeply increases towards more massive galaxies, as expected from the increasing mass of the GC system towards more massive haloes (see e.g. Peng et al 2008 ;Georgiev et al 2010 ;Harris et al 2015Harris et al , 2017Forbes et al 2018 ;Eadie, Harris & Springford 2022 ). 4 Ho we ver, because the total number of GCs is dominated by the presence of low-mass objects, the sample is heavily contaminated by the underdisrupted young, low-mass, and metal-rich clusters if no cut is applied.…”

Section: Galaxy Stellar Masssupporting

confidence: 52%

Radial distributions of globular clusters trace their host dark matter halo: insights from the E-MOSAICS simulations

Reina-Campos

Trujillo-Gomez

Deason

et al. 2022

Monthly Notices of the Royal Astronomical Society

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Globular clusters (GCs) are bright objects that span a wide range of galactocentric distances, and can therefore probe the structure of dark matter (DM) haloes. In this work, we explore whether the projected number density radial profiles of GCs can be used to infer the structural properties of their host DM haloes. We use the simulated GC populations in a sample of 166 central galaxies from the $(34.4~\rm cMpc)^3$ periodic volume of the E-MOSAICS project. We find that more massive galaxies host stellar and GC populations with shallower density profiles that are more radially extended. In addition, metal-poor GC subpopulations tend to have shallower and more extended profiles than metal-rich subsamples, which we relate to the preferentially accreted origin of metal-poor GCs. We find strong correlations between the power-law slopes and effective radii of the radial profiles of the GC populations and the structural properties of the DM haloes, such as their power-law slopes, Navarro-Frenk-White scale radii, and concentration parameters. Accounting for a dependence on the galaxy stellar mass decreases the scatter of the two-dimensional relations. This suggests that the projected number counts of GCs, combined with their galaxy mass, trace the density profile of the DM halo of their host galaxy. When applied to extragalactic GC systems, we recover the scale radii and the extent of the DM haloes of a sample of ETGs with uncertainties smaller than $0.2~\rm dex$. Thus, extragalactic GC systems provide a novel avenue to explore the structure of DM haloes beyond the Local Group.

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Section: Galaxy Stellar Masssupporting

confidence: 52%

Radial distributions of globular clusters trace their host dark matter halo: insights from the E-MOSAICS simulations

Reina-Campos

Trujillo-Gomez

Deason

et al. 2022

Monthly Notices of the Royal Astronomical Society

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“…Nonlinearity induced by scale-dependent physics between system-level properties provides extra information that can be exploited to gain insights into the governing dynamics of astronomical systems. Nonlinear, scale-dependent trends both in the mean and variance of a population are common in many astronomical systems such as cluster-and group-size halos (e.g., Farahi et al 2018;Anbajagane et al 2022aAnbajagane et al , 2022b, galaxies (e.g., Cappellari et al 2013;Mowla et al 2019;Eadie et al 2022;Anbajagane et al 2022a), globular clusters (e.g., Fahrion et al 2020), among others. Thus, there is a need for analysis tools that can discover and measure these nonlinear signals both in the mean relation and variance about the mean relation.…”

Section: Introductionmentioning

confidence: 99%

KLLR: A Scale-dependent, Multivariate Model Class for Regression Analysis

Farahi

Anbajagane

Evrard

2022

ApJ

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The underlying physics of astronomical systems govern the relation between their measurable properties. Consequently, quantifying the statistical relationships between system-level observable properties of a population offers insights into the astrophysical drivers of that class of systems. While purely linear models capture behavior over a limited range of system scale, the fact that astrophysics is ultimately scale dependent implies the need for a more flexible approach to describing population statistics over a wide dynamic range. For such applications, we introduce and implement a class of kernel localized linear regression (KLLR) models. KLLR is a natural extension to the commonly used linear models that allows the parameters of the linear model—normalization, slope, and covariance matrix—to be scale dependent. KLLR performs inference in two steps: (1) it estimates the mean relation between a set of independent variables and a dependent variable and; (2) it estimates the conditional covariance of the dependent variables given a set of independent variables. We demonstrate the model's performance in a simulated setting and showcase an application of the proposed model in analyzing the baryonic content of dark matter halos. As a part of this work, we publicly release a Python implementation of the KLLR method.

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“…Globular clusters (GCs) are ubiquitous compact stellar systems found in most galaxies with stellar masses M star > 10 6.8 M ⊙ (e.g., ⋆ A table containing the GC candidates presented in this work as well as their magnitudes are only available in electronic form at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http: //cdsweb.u-strasbg.fr/cgi-bin/qcat?J/A+A/. Eadie et al 2022). Some of these objects are among the oldest in the universe (Larsen 2001), with typical ages larger than 10 Gyr (Strader et al 2005;Chies-Santos et al 2011).…”

Section: Introductionmentioning

confidence: 99%

J-PLUS: Detecting and studying extragalactic globular clusters

Brito-Silva¹,

Coelho²,

Cortesi³

et al. 2022

A&A

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Context. Extragalactic globular clusters (GCs) are key objects in studies of galactic histories. The advent of wide-field surveys, such as the Javalambre Photometric Local Universe Survey (J-PLUS), offers new possibilities for the study of these systems. Aims. We performed the first study of GCs in J-PLUS to recover information on the history of NGC 1023, taking advantage of wide-field images and 12 filters. Methods. We developed the semiautomatic pipeline GCFinder for detecting GC candidates in J-PLUS images, which can also be adapted to similar surveys. We studied the stellar population properties of a sub-sample of GC candidates using spectral energy distribution (SED) fitting. Results. We found 523 GC candidates in NGC 1023, about 300 of which are new. We identified subpopulations of GC candidates, where age and metallicity distributions have multiple peaks. By comparing our results with the simulations, we report a possible broad age-metallicity relation, supporting the notion that NGC 1023 has experienced accretion events in the past. With a dominating age peak at 10 10 yr, we report a correlation between masses and ages that suggests that massive GC candidates are more likely to survive the turbulent history of the host galaxy. Modeling the light of NGC 1023, we find two spiral-like arms and detect a displacement of the galaxy's photometric center with respect to the outer isophotes and center of GC distribution (∼700 pc and ∼1600 pc, respectively), which could be the result of ongoing interactions between NGC 1023 and NGC 1023A. Conclusions. By studying the GC system of NGC 1023 with J-PLUS, we showcase the power of multi-band surveys for these kinds of studies and we find evidence to support the complex accretion history of the host galaxy.

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Clearing the Hurdle: The Mass of Globular Cluster Systems as a Function of Host Galaxy Mass

Cited by 27 publications

References 88 publications

Radial distributions of globular clusters trace their host dark matter halo: insights from the E-MOSAICS simulations

Radial distributions of globular clusters trace their host dark matter halo: insights from the E-MOSAICS simulations

KLLR: A Scale-dependent, Multivariate Model Class for Regression Analysis

J-PLUS: Detecting and studying extragalactic globular clusters

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