The structure of elliptical galaxies and galaxy clusters by Buote, David Augustin

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Cosmological signatures in galaxy cluster structures by Frederic, James J. (James Joseph)

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THE ERA OF STAR FORMATION IN GALAXY CLUSTERS by Brodwin, M., Stanford, S. A., Gonzalez, Anthony H., Zeimann, G. R., Snyder, G. F., Mancone, C. L., Pope, A., Eisenhardt, P. R., Stern, D., Alberts, S., Ashby, M. L. N., Brown, M. J. I., Chary, R.-R., Dey, A., Galametz, A., Gettings, D. P., Jannuzi, Buell T., Moustakas, J., Moustakas, L. A., Miller, Eric D

“…We analyze the star formation properties of 16 infrared-selected, spectroscopically confirmed galaxy clusters at 1 < z < 1.5 from the Spitzer/IRAC Shallow Cluster Survey (ISCS). …”
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Baryon content of massive galaxy clusters at 0.57 by Chiu, I, Mohr, J, McDonald, M, Bocquet, S, Ashby, MLN, Bayliss, M, Benson, BA, Bleem, LE, Brodwin, M, Desai, S, Dietrich, JP, Forman, WR, Gangkofner, C, Gonzalez, AH, Hennig, C, Liu, J, Reichardt, CL, Saro, A, Stalder, B, Stanford, SA, Song, J, Schrabback, T, Šuhada, R, Strazzullo, V, Zenteno, A

“…We study the stellar, brightest cluster galaxy (BCG) and intracluster medium (ICM) masses of 14 South Pole Telescope (SPT) selected galaxy clusters with median redshift z = 0.9 and mass M500 = 6 × 1014M⊙. …”
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The impact of galaxy selection on the splashback boundaries of galaxy clusters by O’Neil, Stephanie, Borrow, Josh, Vogelsberger, Mark, Diemer, Benedikt

“…<jats:title>Abstract</jats:title> <jats:p>We explore how the splashback radius (Rsp) of galaxy clusters, measured using the number density of the subhalo population, changes based on various selection criteria using the IllustrisTNG cosmological galaxy formation simulation. …”
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The impact of galaxy selection on the splashback boundaries of galaxy clusters by O’Neil, Stephanie, Borrow, Josh, Vogelsberger, Mark, Diemer, Benedikt

“…<jats:title>Abstract</jats:title> <jats:p>We explore how the splashback radius (Rsp) of galaxy clusters, measured using the number density of the subhalo population, changes based on various selection criteria using the IllustrisTNG cosmological galaxy formation simulation. …”
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Evolution of Supermassive Black Hole Feedback in Galaxy Clusters by Calzadilla, Michael Samir

“…Galaxy clusters, the largest gravitationally-bound structures in the Universe, are superb laboratories for studying the baryon cycle that governs the evolution of all galaxies. …”
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Probing the history of galaxy clusters with metallicity and entropy measurements by Elkholy, Tamer Yohanna

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A census of cool-core galaxy clusters in IllustrisTNG by Barnes, David J, Vogelsberger, Mark, Kannan, Rahul, Marinacci, Federico, Weinberger, Rainer, Springel, Volker, Torrey, Paul, Pillepich, Annalisa, Nelson, Dylan, Pakmor, Rüdiger, Naiman, Jill, Hernquist, Lars, McDonald, Michael

“…The thermodynamic structure of hot gas in galaxy clusters is sensitive to astrophysical processes and typically difficult to model with galaxy formation simulations. …”
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Gravitationally lensed image simulations for the study of the substructure in galaxy clusters by Peeples, Molly S

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Weak lensing flexion as a probe of galaxy cluster substructure by Cain, Benjamin Martin

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ARE THE EFFECTS OF STRUCTURE FORMATION SEEN IN THE CENTRAL METALLICITY OF GALAXY CLUSTERS? by Elkholy, Tamer Y., Canizares, Claude R., Bautz, Marshall W.

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PROBING THE OUTSKIRTS OF THE EARLY-STAGE GALAXY CLUSTER MERGER A1750 by Bulbul, Esra, Randall, Scott W., Bayliss, Matthew, Miller, Eric, Andrade-Santos, Felipe, Johnson, Ryan, Blanton, Elizabeth L., Forman, William R., Jones, Christine, Paterno-Mahler, Rachel, Murray, Stephen S., Sarazin, Craig L., Smith, Randall K., Ezer, Cemile, Miller, Eric D, Bautz, Marshall W.

“…Finally, we find evidence for diffuse, cool ( < 1 keV) gas at large cluster radii (R 200 ) along the filament, which is consistent with the expected properties of the denser, hotter phase of the warm-hot intergalactic medium. Key words: galaxies: clusters: individual (A1750); large-scale structure of universe; X-rays: galaxies: clusters…”
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X-Ray Properties of SPT-selected Galaxy Clusters at 0.2 by Bulbul, Esra, Chiu, I-Non, Mohr, Joseph J, McDonald, Michael, Benson, Bradford, Bautz, Mark W, Bayliss, Matthew, Bleem, Lindsey, Brodwin, Mark, Bocquet, Sebastian, Capasso, Raffaella, Dietrich, Jörg P, Forman, Bill, Hlavacek-Larrondo, Julie, Holzapfel, WL, Khullar, Gourav, Klein, Matthias, Kraft, Ralph, Miller, Eric D, Reichardt, Christian, Saro, Alex, Sharon, Keren, Stalder, Brian, Schrabback, Tim, Stanford, Adam

“…Employing SZE-based masses in this sample enables us to constrain these scaling relations for massive galaxy clusters (M 500 ≥ 3 × 10 14 M o ) to the highest redshifts where these clusters exist without concern for X-ray selection biases. …”
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X-Ray Properties of SPT-selected Galaxy Clusters at 0.2 by Bulbul, Esra, Chiu, I-Non, Mohr, Joseph J, McDonald, Michael A., Benson, Bradford, Bautz, Mark W., Bayliss, Matthew B, Bleem, Lindsey, Brodwin, Mark, Bocquet, Sebastian, Capasso, Raffaella, Dietrich, Jörg P, Forman, Bill, Hlavacek-Larrondo, Julie, Holzapfel, WL, Khullar, Gourav, Klein, Matthias, Kraft, Ralph, Miller, Eric D, Reichardt, Christian, Saro, Alex, Sharon, Keren, Stalder, Brian, Schrabback, Tim, Stanford, Adam

“…Employing SZE-based masses in this sample enables us to constrain these scaling relations for massive galaxy clusters (M 500 ≥ 3 × 10 14 M o ) to the highest redshifts where these clusters exist without concern for X-ray selection biases. …”
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A Deep Learning Approach to Galaxy Cluster X-Ray Masses by Ntampaka, M, ZuHone, J, Eisenstein, D, Nagai, D, Vikhlinin, A, Hernquist, L, Marinacci, F, Nelson, D, Pakmor, R, Pillepich, A, Torrey, P, Vogelsberger, M

“…We present a machine-learning (ML) approach for estimating galaxy cluster masses from Chandra mock images. We utilize a Convolutional Neural Network (CNN), a deep ML tool commonly used in image recognition tasks. …”
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A Deep Learning Approach to Galaxy Cluster X-Ray Masses by Ntampaka, M., ZuHone, J., Eisenstein, D., Nagai, D., Vikhlinin, A., Hernquist, L., Marinacci, F., Nelson, D., Pakmor, R., Pillepich, A., Torrey, P., Vogelsberger, M.

“…We present a machine-learning (ML) approach for estimating galaxy cluster masses from Chandra mock images. We utilize a Convolutional Neural Network (CNN), a deep ML tool commonly used in image recognition tasks. …”
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First results from the IllustrisTNG simulations: matter and galaxy clustering by Springel, Volker, Pakmor, Rüdiger, Pillepich, Annalisa, Weinberger, Rainer, Nelson, Dylan, Hernquist, Lars, Vogelsberger, Mark, Genel, Shy, Torrey, Paul, Marinacci, Federico, Naiman, Jill

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The formation of dusty cold gas filaments from galaxy cluster simulations by Qiu, Yu, Bogdanović, Tamara, Li, Yuan, McDonald, Michael, McNamara, Brian R

“…© 2020, The Author(s), under exclusive licence to Springer Nature Limited. Galaxy clusters are the most massive collapsed structures in the Universe, with potential wells filled with hot, X-ray-emitting intracluster medium (ICM). …”
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GALAXY CLUSTERING IN THE COMPLETED SDSS REDSHIFT SURVEY: THE DEPENDENCE ON COLOR AND LUMINOSITY by Zehavi, Idit, Zheng, Zheng, Weinberg, David H., Blanton, Michael R., Bahcall, Neta A., Berlind, Andreas A., Brinkmann, Jon, Frieman, Joshua A., Gunn, James E., Lupton, Robert H., Nichol, Robert C., Percival, Will J., Schneider, Donald P., Skibba, Ramin A., Strauss, Michael A., Tegmark, Max Erik, York, Donald G.

“…We measure the luminosity and color dependence of galaxy clustering in the largest-ever galaxy redshift survey, the main galaxy sample of the Sloan Digital Sky Survey Seventh Data Release. …”
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