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Narciso Benítez
Researcher at Spanish National Research Council
Publications - 317
Citations - 28717
Narciso Benítez is an academic researcher from Spanish National Research Council. The author has contributed to research in topics: Galaxy & Redshift. The author has an hindex of 81, co-authored 312 publications receiving 27091 citations. Previous affiliations of Narciso Benítez include University of California, Berkeley & Michigan State University.
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Journal ArticleDOI
CLASH-VLT: Constraints on the Dark Matter Equation of State from Accurate Measurements of Galaxy Cluster Mass Profiles
Barbara Sartoris,Andrea Biviano,Piero Rosati,Stefano Borgani,Keiichi Umetsu,Matthias Bartelmann,Marisa Girardi,Claudio Grillo,Doron Lemze,Adi Zitrin,Italo Balestra,Amata Mercurio,Mario Nonino,Marc Postman,Nicole G. Czakon,Larry Bradley,Tom Broadhurst,Dan Coe,Elinor Medezinski,Peter Melchior,Massimo Meneghetti,Julian Merten,M. Annunziatella,Narciso Benítez,Oliver Czoske,Megan Donahue,Stefano Ettori,Holland C. Ford,Alexander Fritz,D. D. Kelson,Anton M. Koekemoer,U. Kuchner,Marco Lombardi,Christian Maier,Leonidas A. Mou,E. Munari,V. Presotto,Marco Scodeggio,Stella Seitz,Paolo Tozzi,Wei Zheng,Bodo L. Ziegler +41 more
TL;DR: In this paper, the authors used the complementary information provided by the kinematic and lensing mass profiles of the galaxy cluster MACS 1206.2-0847 to constrain the Equation of State (EoS) parameter of the fluid contained in galaxy clusters.
Journal ArticleDOI
The ALHAMBRA survey: B-band luminosity function of quiescent and star-forming galaxies at 0.2 <= z < 1 by PDF analysis
Carlos López-Sanjuan,Elmo Tempel,Elmo Tempel,Narciso Benítez,Alberto Molino,Alberto Molino,Kerttu Viironen,L. A. Díaz-García,A. Fernández-Soto,W. A. Santos,Jesús A. Varela,A. J. Cenarro,Mariano Moles,Pablo Arnalte-Mur,B. Ascaso,Antonio D. Montero-Dorta,Mirjana Pović,Vicent J. Martínez,L. Nieves-Seoane,L. Nieves-Seoane,Mauro Stefanon,Ll. Hurtado-Gil,Isabel Márquez,Jaime Perea,J. A. L. Aguerri,J. A. L. Aguerri,Emilio J. Alfaro,T. Aparicio-Villegas,Tom Broadhurst,Tom Broadhurst,Jesús Cabrera-Caño,F. J. Castander,J. Cepa,J. Cepa,Miguel Cerviño,Miguel Cerviño,David Cristóbal-Hornillos,R. M. González Delgado,C. Husillos,Leopoldo Infante,Josefa Masegosa,A. del Olmo,Francisco Prada,Francisco Prada,J. M. Quintana +44 more
TL;DR: In this paper, the authors used the photometric redshift and the I-band selection magnitude probability distribution functions (PDFs) of those ALHAMBRA galaxies with I ≤ 24 mag to compute the posterior LF.
Journal ArticleDOI
The Projected Dark and Baryonic Ellipsoidal Structure of 20 CLASH Galaxy Clusters
Keiichi Umetsu,Mauro Sereno,Sut-Ieng Tam,I-Non Chiu,Zuhui Fan,Zuhui Fan,Stefano Ettori,Daniel Gruen,Teppei Okumura,Elinor Medezinski,Megan Donahue,Massimo Meneghetti,Brenda Frye,Anton M. Koekemoer,Tom Broadhurst,Tom Broadhurst,Adi Zitrin,Italo Balestra,Narciso Benítez,Yuichi Higuchi,Peter Melchior,Amata Mercurio,Julian Merten,Alberto Molino,Mario Nonino,Marc Postman,Piero Rosati,Jack Sayers,Stella Seitz +28 more
TL;DR: In this article, a joint weak lensing analysis of 2D shear and azimuthally averaged magnification measurements is proposed to reconstruct the 2D matter distributions in 20 high-mass galaxy clusters selected from the CLASH survey.
Journal ArticleDOI
The ALHAMBRA survey: an empirical estimation of the cosmic variance for merger fraction studies based on close pairs
Carlos López-Sanjuan,A. J. Cenarro,C. Hernández-Monteagudo,Jesús A. Varela,A. Molino,Pablo Arnalte-Mur,B. Ascaso,Francisco J. Castander,Alberto Fernández-Soto,Marc Huertas-Company,Isabel Márquez,Vicent J. Martínez,Josefa Masegosa,Mariano Moles,Mirjana Pović,J. A. L. Aguerri,Emma L. Alfaro,Narciso Benítez,T. J. Broadhurst,Jesús Cabrera-Caño,J. Cepa,Miguel Cerviño,David Cristóbal-Hornillos,A. del Olmo,R. M. González Delgado,C. Husillos,L. Infante,J. Perea,Francisco Prada,J. M. Quintana +29 more
TL;DR: In this paper, the authors estimate the cosmic variance that affects merger fraction studies based on close pairs and develop a maximum likelihood estimator to measure a reliable sigma_v and avoid the dispersion due to the observational errors.
Journal ArticleDOI
The miniJPAS survey: star-galaxy classification using machine learning
P. O. Baqui,Valerio Marra,Luciano Casarini,R. E. Angulo,R. E. Angulo,L. A. Díaz-García,C. Hernández-Monteagudo,C. Hernández-Monteagudo,Paulo A. A. Lopes,C. López-Sanjuan,D. Muniesa,Vinicius M. Placco,Miguel Quartin,C. Queiroz,David Sobral,Enrique Solano,Elmo Tempel,J. Varela,José M. Vílchez,R. Abramo,J. Alcaniz,Narciso Benítez,S. Bonoli,S. Bonoli,Saulo Carneiro,A. J. Cenarro,David Cristóbal-Hornillos,A. L. de Amorim,C. M. de Oliveira,R. A. Dupke,R. A. Dupke,A. Ederoclite,R. M. González Delgado,Antonio Marín-Franch,Mariano Moles,H. Vázquez Ramió,Laerte Sodré,Keith Taylor +37 more
TL;DR: In this article, the authors analyze the mini-PAS survey, which observed about ∼1'deg2 of the AEGIS field with 56 narrow-band filters and 4 u g r i broadband filters, and train and test six different ML algorithms on the two cross-matched catalogs: K-nearest neighbors, decision trees, random forest, artificial neural networks, extremely randomized trees (ERT), and an ensemble classifier.