Results 61 to 70 of about 1,986 (217)

The clustering of galaxies in hierarchical galaxy formation models [PDF]

, 2010
Galaxy clustering encodes information about the values of cosmological parameters and also about the physical processes behind galaxy formation and evolution. The GALFORM semi-analytical model is the theoretical approach we used to model galaxy formation.
KIM, HAN,SIK, Kim, Han Sik
core  

Precision Modeling of JWST's First Cluster Lens SMACS J0723.3–7327

The Astrophysical Journal, 2023
Exploiting the fundamentally achromatic nature of gravitational lensing, we present a lens model for the massive galaxy cluster SMACS J0723.3−7323 (SMACS J0723; z = 0.388) that significantly improves upon earlier work.
Guillaume Mahler, Mathilde Jauzac, Johan Richard, Benjamin Beauchesne, Harald Ebeling, David Lagattuta, Priyamvada Natarajan, Keren Sharon, Hakim Atek, Adélaïde Claeyssens, Benjamin Clément, Dominique Eckert, Alastair Edge, Jean-Paul Kneib, Anna Niemiec   +14 more
doaj   +1 more source

Raman analysis of organic refractory materials after energetic processing: Evidence for amorphous carbon on TNOs and comets

Meteoritics &Planetary Science, EarlyView.
Abstract Amorphous carbon (αC) is found in various extraterrestrial particles, including those thought to originate from the outer Solar System. αC can form through two main processes involving C‐rich materials: exposure to energetic charged particles and thermal processing.
M. Germanà, A. Vyjidak, G. A. Baratta, B. M. Giuliano, R. G. Urso, C. Scirè, D. Fulvio, T. Grassi, P. Jusko, P. Caselli, M. E. Palumbo   +10 more
wiley   +1 more source

On the nature of the brightest globular cluster in M81 [PDF]

, 2013
We analyse the photometric, chemical, star formation history and structural properties of the brightest globular cluster (GC) in M81, referred as GC1 in this work, with the intention of establishing its nature and origin. We find that it is a metal-rich (
Yalia Divakara Mayya, Luis Carrasco Bazúa, OLGA MERCEDES VEGA CASANOVA, DANIEL ROSA GONZALEZ, MAYRA SANTIAGO CORTES, Lino Héctor Rodríguez Merino   +5 more
core  

A New Galaxy Cluster Merger Capable of Probing Dark Matter: A56

The Astrophysical Journal, 2023
We report the discovery of a binary galaxy cluster merger via a search of the redMaPPer optical cluster catalog, with a projected separation of 535 kpc between the brightest cluster galaxies (BCGs).
David Wittman, Rodrigo Stancioli, Kyle Finner, Faik Bouhrik, Reinout van Weeren, Andrea Botteon   +5 more
doaj   +1 more source

Nanoscale space weathering features in mature lunar soil revealed by TEM and APT

Meteoritics &Planetary Science, EarlyView.
Abstract Space weathering significantly alters the optical, chemical, and structural properties of lunar regolith at micro‐ and nanoscales; yet detailed nanoscale variability within individual soils remains underexplored. Here we apply transmission electron microscopy (TEM) and atom probe tomography to four mineral grains (olivine, ilmenite, and two ...
Jennika Greer, Alexander M. Kling, Luke Daly, Dieter Isheim, David N. Seidman, Michelle S. Thompson, Philipp R. Heck   +6 more
wiley   +1 more source

Witnessing the Formation of a Brightest Cluster Galaxy in a Nearby X-Ray Cluster [PDF]

, 2010
The central dominant galaxies in galaxy clusters constitute the most massive and luminous galaxies in the universe. Despite this, the formation of these brightest cluster galaxies (BCGs) and the impact of this on the surrounding cluster environment ...
Lei Bai, Raychaudhury, Somak, Rasmussen, J, Trevor J. Ponman, Ponman, Trevor, Jesper Rasmussen, Dariush, A, Somak Raychaudhury, Bai, L, Mulchaey, JS, John S. Mulchaey, Ali Dariush   +11 more
core   +1 more source

Euclid: A blue galaxy population and a brightest cluster galaxy in the making in a z ∼ 1.74 MaDCoWS2 galaxy cluster candidate★

Astronomy & Astrophysics
We present an example cluster follow-up study with Euclid. Our target, a z ∼ 1.74 candidate cluster nicknamed the ‘Puddle’, was initially discovered by the Massive and Distant Clusters of WISE Survey 2 as a zphot ∼ 1.65 candidate cluster.
Trudeau A., Gonzalez A. H., Stanford S. A., Shamyati S., Taamoli S., Stern D., Eisenhardt P. R. M., Mobasher B., Thongkham K., Altieri B., Andreon S., Baccigalupi C., Baldi M., Balestra A., Bardelli S., Biviano A., Branchini E., Brescia M., Camera S., Cañas-Herrera G., Capobianco V., Carbone C., Carretero J., Casas S., Castellano M., Castignani G., Cavuoti S., Chambers K. C., Cimatti A., Colodro-Conde C., Congedo G., Conselice C. J., Conversi L., Copin Y., Courbin F., Courtois H. M., Cropper M., Da Silva A., Degaudenzi H., De Lucia G., Dole H., Douspis M., Dubath F., Duncan C. A. J., Dupac X., Dusini S., Escoffier S., Fabricius M., Farina M., Faustini F., Ferriol S., Finelli F., Frailis M., Franceschi E., Fumana M., Galeotta S., George K., Gillis B., Giocoli C., Gracia-Carpio J., Grazian A., Grupp F., Haugan S. V. H., Holmes W., Hormuth F., Hornstrup A., Jahnke K., Jhabvala M., Joachimi B., Keihänen E., Kermiche S., Kilbinger M., Kubik B., Kümmel M., Kunz M., Kurki-Suonio H., Le Brun A. M. C., Le Mignant D., Ligori S., Lilje P. B., Lindholm V., Lloro I., Mainetti G., Maino D., Maiorano E., Mansutti O., Marggraf O., Martinelli M., Martinet N., Marulli F., Massey R. J., Maurogordato S., Medinaceli E., Mei S., Mellier Y., Meneghetti M., Merlin E., Meylan G., Mora A., Moscardini L., Munari E., Nakajima R., Neissner C., Niemi S.-M., Padilla C., Paltani S., Pasian F., Pedersen K., Percival W. J., Pettorino V., Pires S., Polenta G., Poncet M., Popa L. A., Pozzetti L., Raison F., Renzi A., Rhodes J., Riccio G., Romelli E., Roncarelli M., Saglia R., Sakr Z., Sapone D., Sartoris B., Schneider P., Schrabback T., Secroun A., Seidel G., Serrano S., Sirignano C., Sirri G., Stanco L., Steinwagner J., Tallada-Crespí P., Taylor A. N., Teplitz H. I., Tereno I., Tessore N., Toft S., Toledo-Moreo R., Torradeflot F., Tutusaus I., Valenziano L., Valiviita J., Vassallo T., Wang Y., Weller J., Zamorani G., Zerbi F. M., Zucca E., García-Bellido J., Maturi M., Scottez V., Sereno M.   +154 more
doaj   +1 more source

Visual Icons

Philosophy and Phenomenological Research, EarlyView.
ABSTRACT Philosophers often characterize perception as image‐like. There is little agreement, however, about what constitutes an imagistic or iconic representation. This article identifies five signature properties of iconic representations endorsed in the philosophical and scientific literature: item‐richness, feature‐richness, spatiotemporal ...
Jake Quilty‐Dunn
wiley   +1 more source

Galaxy Clusters from the DESI Legacy Imaging Surveys. II. Environmental Effects on the Size–Mass Relation

The Astrophysical Journal
To investigate the environmental effects on the growth of galaxies, we study the size–mass relation across a broad range of environments with a vast sample of approximately 32 million galaxies at z < 0.5 from the DESI Legacy Imaging Surveys.
Zhaobin Chen, Yizhou Gu, Hu Zou, Qirong Yuan   +3 more
doaj   +1 more source