7 results on '"Sodré, L., Jr."'
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2. J-PAS: forecasts on dark energy and modified gravity theories
- Author
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Ministerio de Economía y Competitividad (España), European Commission, Fundações de Amparo à Pesquisa (Brasil), Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Gobierno de Aragón, Observatório Nacional (Brasil), Aparicio Resco, Miguel, Maroto, Antonio L., Alcaniz, Jailson S., Abramo, L. R., Hernández-Monteagudo, Carlos, Benítez, Narciso, Carneiro, S., Cenarro, A. J., Cristóbal-Hornillos, David, Dupke, Renato A., Ederoclite, Alessandro, López-Sanjuan, Carlos, Marín-Franch, Antonio, Moles, Mariano, Oliveira, C. M., Sodré, L., Jr., Taylor, Keith, Varela, Jesús, Vázquez Ramió, H., Ministerio de Economía y Competitividad (España), European Commission, Fundações de Amparo à Pesquisa (Brasil), Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Gobierno de Aragón, Observatório Nacional (Brasil), Aparicio Resco, Miguel, Maroto, Antonio L., Alcaniz, Jailson S., Abramo, L. R., Hernández-Monteagudo, Carlos, Benítez, Narciso, Carneiro, S., Cenarro, A. J., Cristóbal-Hornillos, David, Dupke, Renato A., Ederoclite, Alessandro, López-Sanjuan, Carlos, Marín-Franch, Antonio, Moles, Mariano, Oliveira, C. M., Sodré, L., Jr., Taylor, Keith, Varela, Jesús, and Vázquez Ramió, H.
- Abstract
The next generation of galaxy surveys will allow us to test one of the most fundamental assumptions of the standard cosmology, i.e. that gravity is governed by the general theory of relativity (GR). In this paper, we investigate the ability of the Javalambre Physics of the AcceleratingUniverseAstrophysical Survey (J-PAS) to constrainGR and its extensions. Based on the J-PAS information on clustering and gravitational lensing, we perform a Fisher matrix forecast on the effective Newton constant, mu, and the gravitational slip parameter, eta, whose deviations from unity would indicate a breakdown of GR. Similar analysis is also performed for the DESI and Euclid surveys and compared to J-PAS with two configurations providing different areas, namely an initial expectation with 4000 deg(2) and the future best case scenario with 8500 deg(2). We show that J-PAS will be able to measure the parameters mu and eta at a sensitivity of 2-7 per cent, and will provide the best constraints in the interval z = 0.3-0.6, thanks to the large number of ELGs detectable in that redshift range. We also discuss the constraining power of J-PAS for dark energy models with a time-dependent equation-of-state parameter of the type w(a) = w(0) + w(a)(1 - a), obtaining Delta w(0) = 0.058 and Delta w(a) = 0.24 for the absolute errors of the dark energy parameters.© 2020 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society
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- 2020
3. VISTA Variables in the Vía Láctea (VVV): Current Status and First Results
- Author
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Saito, R., Hempel, M., Alonso García, J., Toledo, I., Borissova, J., González, O., Beamin J, C., Minniti, D., Lucas, P., Emerson, J., Ahumada, A., Aigrain, S., Alonso M, V., Amôres, E., Angeloni, R., Arias, J., Bandyopadhyay, R., Barbá, R., Barbuy, B., Baume, G., Bedin, L., Bica, E., Bronfman, L., Giovanni Carraro, Catelan, M., Clariá, J., Contreras, C., Cross, N., Davis, C., Grijs, R., Dékány, I., Janet Drew J, D., Fariña, C., Feinstein, C., Fernández Lajús, E., Folkes, S., Gamen, R., Geisler, D., Gieren, W., Goldman, B., Gosling, A., Gunthardt, G., Gurovich, S., Hambly, N., Hanson, M., Hoare, M., Irwin, M., Ivanov, V., Jordán, A., Kerins, E., Kinemuchi, K., Kurtev, R., Longmore, A., López Corredoira, M., Maccarone, T., Martín, E., Masetti, N., Mennickent, R., Merlo, D., Messineo, M., Mirabel, F., Monaco, L., Moni Bidin, C., LORENZO MORELLI, Padilla, N., Palma, T., Parisi M, C., Parker, Q., Pavani, D., Pietrukowicz, P., Pietrzynski, G., Pignata, G., Rejkuba, M., Rojas, A., Roman Lopes, A., Ruiz M, T., Sale, S., Saviane, I., Schreiber, M., Schröder, A., Sharma, S., Smith, M., Sodré L, Jr, Soto, M., Stephens, A., Tamura, M., Tappert, C., Thompson, M., Valenti, E., Vanzi, L., Weidmann, W., and Zoccali, M.
- Published
- 2010
4. The dynamical state of massive galaxy clusters
- Author
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Cypriano, E. S., Sodré, L. Jr, Jean-Paul Kneib, Campusano, L. E., Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), and Beaussier, Catherine
- Subjects
[PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO] ,[PHYS.ASTR.CO] Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO] ,Astrophysics (astro-ph) ,FOS: Physical sciences ,Astrophysics::Cosmology and Extragalactic Astrophysics ,Astrophysics - Abstract
We study the mass distribution of a sample of 24 X-ray bright Abell clusters through weak gravitational lensing. This method is independent of the dynamical state of the galaxy cluster. Hence, by comparing dynamical and lensing mass estimators, we can access the dynamical state of these clusters. We have found that clusters with ICM temperatures above 8 keV show strong deviations from the relaxation, as well as the presence of prominent sub-structures. For the remaining clusters (the majority of the sample) we have found agreement among the several mass estimators, which indicates that most of the clusters are in or close to a state of dynamical equilibrium., Comment: 2 pages, 2 figures. Contributed talk, XIth IAU Latin-American Regional Meeting (Dec. 2005, Pucon, Chile), to appear in RMxAA
- Published
- 2006
5. Mass distribution and Dynamical State of Galaxy Clusters in the LZLS Sample
- Author
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Campusano, L.E., Cypriano, E.S., Sodré, L. Jr., and Kneib, J.-P.
- Abstract
We use the weak gravitational lensing effect to study the mass distribution of a sample of 50 southern Abell clusters (0.05 < z< 0.3) having LX> 5 × 1044erg s-1observed with ESO-VLT under uniform sky conditions and subarsecond (0.6'') image quality. Their dynamical equibrium is assesed through comparison of the clusters mass estimates made by weak-lensing, velocity-dispersions and X-ray techniques. So far, for 24 clusters (Cypriano et al.2004), we find: a) the center of their mass and light distributions are coincident for 77% of the sample; b) the elongations of the fitted mass profiles and of the light of the cD galaxies generally match with each other; c) although most of the clusters are found to be in dynamical equilibrium, those with TX≥ 8 keV (or σv≥ 1120 km s-1) are the discordant ones. The preliminary bright arc statistics for our whole sample (LZLS) suggests the presence of a cut-off at z~ 0.07 which is qualitatively consistent with predictions done in a ΛCDM cosmology (Meneghetti et al.2003).
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- 2006
- Full Text
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6. Spectral classification of galaxies
- Author
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Sodré, L., Jr and Cuevas, H.
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- 1994
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7. Galaxies, human eyes, and artificial neural networks.
- Author
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Lahav O, Naim A, Buta RJ, Corwin HG, de Vaucouleurs G, Dressler A, Huchra JP, van den Bergh S, Raychaudhury S, Sodré L Jr, and Storrie-Lombardi MC
- Abstract
The quantitative morphological classification of galaxies is important for understanding the origin of type frequency and correlations with environment. However, galaxy morphological classification is still mainly done visually by dedicated individuals, in the spirit of Hubble's original scheme and its modifications. The rapid increase in data on galaxy images at low and high redshift calls for a re-examination of the classification schemes and for automatic methods. Here are shown results from a systematic comparison of the dispersion among human experts classifying a uniformly selected sample of more than 800 digitized galaxy images. These galaxy images were then classified by six of the authors independently. The human classifications are compared with each other and with an automatic classification by an artificial neural network, which replicates the classification by a human expert to the same degree of agreement as that between two human experts.
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- 1995
- Full Text
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