Phase-Space Correlations among Systems of Satellite Galaxies by Marcel S. Pawlowski

“…At the same time, other kinds of correlations have been found to be more in line with cosmological expectations—specifically, lopsided satellite galaxy systems and the accretion of groups of satellite galaxies. …”
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Resolved Star Formation in TNG100 Central and Satellite Galaxies by Bryanne McDonough, Olivia Curtis, Tereasa G. Brainerd

“…We find that, on average, high-mass central and satellite galaxies quench from the inside out, while low-mass central and satellite galaxies have similar, flatter profiles. …”
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Evidence for a Massive Andromeda Galaxy Using Satellite Galaxy Proper Motions by Ekta Patel, Kaisey S. Mandel

“…We present new mass estimates for Andromeda (M31) using the orbital angular momenta of four satellite galaxies (M33, NGC 185, NGC 147, and IC 10) derived from existing proper motions, distances, and line-of-sight velocities. …”
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Anisotropic Satellite Galaxy Quenching: A Unique Signature of Energetic Feedback by Supermassive Black Holes? by Juliana S. M. Karp, Johannes U. Lange, Risa H. Wechsler

“…This effect, called anisotropic satellite galaxy quenching (ASGQ), has been found in observational data and cosmological simulations. …”
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When and How Ram Pressure Stripping in Low-mass Satellite Galaxies Enhances Star Formation by Jingyao Zhu, Stephanie Tonnesen, Greg L. Bryan

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SDSS-IV MaNGA: The Effect of Stellar Mass and Halo Mass on the Assembly Histories of Satellite Galaxies by Grecco A. Oyarzún, Kevin Bundy, Kyle B. Westfall, Ivan Lacerna, Renbin Yan, J. R. Brownstein, Niv Drory, Richard R. Lane

“…These signals lend support to environmentally driven processes that quench satellite galaxies, although variations in the merger histories of central and satellite galaxies also emerge as a viable explanation.…”
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The Hubble Space Telescope Survey of M31 Satellite Galaxies. II. The Star Formation Histories of Ultrafaint Dwarf Galaxies by Alessandro Savino, Daniel R. Weisz, Evan D. Skillman, Andrew Dolphin, Andrew A. Cole, Nitya Kallivayalil, Andrew Wetzel, Jay Anderson, Gurtina Besla, Michael Boylan-Kolchin, Thomas M. Brown, James S. Bullock, Michelle L. M. Collins, M. C. Cooper, Alis J. Deason, Aaron L. Dotter, Mark Fardal, Annette M. N. Ferguson, Tobias K. Fritz, Marla C. Geha, Karoline M. Gilbert, Puragra Guhathakurta, Rodrigo Ibata, Michael J. Irwin, Myoungwon Jeon, Evan N. Kirby, Geraint F. Lewis, Dougal Mackey, Steven R. Majewski, Nicolas Martin, Alan McConnachie, Ekta Patel, R. Michael Rich, Joshua D. Simon, Sangmo Tony Sohn, Erik J. Tollerud, Roeland P. van der Marel

“…We present the lifetime star formation histories (SFHs) for six ultrafaint dwarf (UFD; M _V > − 7.0, $4.9\lt {\mathrm{log}}_{10}({M}_{* }(z=0)/{M}_{\odot })\lt 5.5$ ) satellite galaxies of M31 based on deep color–magnitude diagrams constructed from Hubble Space Telescope imaging. …”
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The AGORA High-resolution Galaxy Simulations Comparison Project. V. Satellite Galaxy Populations in a Cosmological Zoom-in Simulation of a Milky Way–Mass Halo by Minyong Jung, Santi Roca-Fàbrega, Ji-hoon Kim, Anna Genina, Loic Hausammann, Hyeonyong Kim, Alessandro Lupi, Kentaro Nagamine, Johnny W. Powell, Yves Revaz, Ikkoh Shimizu, Héctor Velázquez, Daniel Ceverino, Joel R. Primack, Thomas R. Quinn, Clayton Strawn, Tom Abel, Avishai Dekel, Bili Dong, Boon Kiat Oh, Romain Teyssier, The AGORA Collaboration

“…When we consider only the halos containing stellar particles at z ∼ 2, the number of satellite galaxies is significantly fewer than that of dark matter halos in all participating AGORA simulations and is comparable to the number of present-day satellites near the Milky Way or M31. …”
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Toward Accurate Modeling of Galaxy Clustering on Small Scales: Halo Model Extensions and Lingering Tension by Gillian D. Beltz-Mohrmann, Adam O. Szewciw, Andreas A. Berlind, Manodeep Sinha

“…In addition, we find evidence for satellite galaxy velocity bias at the 99.9% confidence level. …”
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Machine Learning the Dark Matter Halo Mass of Milky Way-Like Systems by Elaheh Hayati, Peter Behroozi, Ekta Patel

“…This method uses only observable information including satellite orbits, distances to nearby larger halos, and the maximum circular velocity of the largest satellite galaxy. In this paper, we demonstrate a proof-of-concept method on simulated dark matter halos; in future papers in this series, we will apply neural networks to estimate the masses of the Milky Way's and M31's dark matter halos, and we will train variations of these networks to estimate other halo properties including concentration, assembly history, and spin axis.…”
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Simulations of Neutrino and Gamma-Ray Production from Relativistic Black-Hole Microquasar Jets by Theodora Papavasileiou, Odysseas Kosmas, Ioannis Sinatkas

“…After assessing the suitability and sensitivity of the derived (for this purpose) algorithms on the Galactic MQs SS 433 and Cyg X-1, as a concrete extragalactic binary system, we examine the LMC X-1 located in the Large Magellanic Cloud, a satellite galaxy of our Milky Way Galaxy. It is worth mentioning that, for the companion O star (and its extended nebula structure) of the LMC X-1 system, new observations using spectroscopic data from VLT/UVES have been published a few years ago.…”
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Massive Hypervelocity Runaway Stars in the Large Magellanic Cloud by Zehao Lin, Ye Xu, Chaojie Hao, Yingjie Li, Dejian Liu, Shuaibo Bian

“…As the largest and closest face-on satellite galaxy of the Milky Way, the Large Magellanic Cloud (LMC) serves as a good target, allowing us to study this issue. …”
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Systematically Measuring Ultradiffuse Galaxies (SMUDGes). IV. Ultradiffuse Satellites of Milky Way Analogs by Hina Goto, Dennis Zaritsky, Ananthan Karunakaran, Richard Donnerstein, David J. Sand

“…We find that: (1) the projected radial distribution of UDG satellites (projected surface density ∝ r ^−0.84±0.06 ) is consistent with that of normal satellite galaxies; (2) the number of UDG satellites per MWA ( S _UDG ) is ∼0.5 ± 0.1 over projected radii from 20 to 250 kpc and −17 < M _r < −13.5; (3) S _UDG is consistent with a linear extrapolation of the relationship between the number of UDGs per halo versus halo mass obtained over galaxy group and cluster scales; (4) red UDG satellites dominate the population of UDG satellites (∼80%); (5) over the range of satellite magnitudes studied, UDG satellites comprise ∼10% of the satellite galaxy population of MWAs; and (6) a significant fraction of these (∼13%) have estimated total masses >10 ^10.9 M _⊙ or, equivalently, at least half the halo mass of the LMC, and populate a large fraction (∼18%) of the expected subhalos down to these masses. …”
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ELVES. IV. The Satellite Stellar-to-halo Mass Relation Beyond the Milky Way by Shany Danieli, Jenny E. Greene, Scott Carlsten, Fangzhou Jiang, Rachael Beaton, Andy D. Goulding

“…Here we present new constraints on the connection between satellite galaxies and their host dark matter subhalos using the largest sample of satellite galaxies in the Local Volume ( D ≲ 12 Mpc) to date. …”
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Starburst-induced Gas–Star Kinematic Misalignment by Elia Cenci, Robert Feldmann, Jindra Gensior, James S. Bullock, Jorge Moreno, Luigi Bassini, Mauro Bernardini

“…In contrast to scenarios involving gas ejection, we find that preexisting gas is mainly removed via the conversion into stars in a central starburst, triggered by a merging satellite galaxy. The newly accreted, counterrotating gas eventually settles into a kinematically misaligned disk. …”
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Flares, Warps, Truncations, and Satellite: The Ultra-thin Galaxy UGC 11859 by Luis Ossa-Fuentes, Alejandro S. Borlaff, John E. Beckman, Pamela M. Marcum, Michael N. Fanelli

“…Based on ultradeep g and r photometry we estimate that if the potential companion is at the same distance as UGC 11859, the stellar mass of the satellite galaxy is log _10 ( M _⊙ ) = ${6.33}_{-0.02}^{+0.02}$ .…”
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A Search for Gas-Rich Dwarf Galaxies in the Local Universe with ALFALFA and the WIYN One Degree Imager by Katherine L. Rhode, Nicholas J. Smith, William F. Janesh, John J. Salzer, Elizabeth A. K. Adams, Martha P. Haynes, Steven Janowiecki, John M. Cannon

“…We compare the optical and H i properties of the dwarf galaxy candidates to the results from recent theoretical simulations that model satellite galaxy populations in group environments, as well as to the observed properties of galaxies in and around the Local Group.…”
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The Signatures of Self-interacting Dark Matter and Subhalo Disruption on Cluster Substructure by Joy Bhattacharyya, Susmita Adhikari, Arka Banerjee, Surhud More, Amit Kumar, Ethan O. Nadler, Suchetana Chatterjee

“…Once the population of disrupted subhalos—which may host orphan galaxies—is taken into account, satellite galaxy populations in CDM and SIDM models can be reconciled. …”
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Orientations of Dark Matter Halos in FIRE-2 Milky Way–mass Galaxies by Jay Baptista, Robyn Sanderson, Dan Huber, Andrew Wetzel, Omid Sameie, Michael Boylan-Kolchin, Jeremy Bailin, Philip F. Hopkins, Claude-André Faucher-Giguere, Sukanya Chakrabarti, Drona Vargya, Nondh Panithanpaisal, Arpit Arora, Emily Cunningham

“…Interactions with massive satellites ( M ≳ 4 × 10 ^10 M _⊙ at pericenter; M ≳ 3.3 × 10 ^10 M _⊙ at infall) affect the orientation of the halo significantly, aligning the halo’s major axis with the satellite galaxy from the disk to the virial radius. The relative orientation of the halo and disk beyond 30 kpc is a potential diagnostic of self-interacting DM, if the effects of massive satellites can be accounted for.…”
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Exploring the Structures and Substructures of the Andromeda Satellite Dwarf Galaxies Cassiopeia III, Perseus I, and Lacerta I by Katherine L. Rhode, Nicholas J. Smith, Denija Crnojevic, David J. Sand, Ryan A. Lambert, Enrico Vesperini, Madison V. Smith, Steven Janowiecki, John J. Salzer, Ananthan Karunakaran, Kristine Spekkens

“…We combine our data set with corresponding data for the M31 satellite galaxy Lacerta I (And XXXI) from earlier work and search for substructure within the RGB star populations of Cas III, Per I, and Lac I. …”
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