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Institution

Spanish National Research Council

GovernmentMadrid, Spain
About: Spanish National Research Council is a government organization based out in Madrid, Spain. It is known for research contribution in the topics: Population & Galaxy. The organization has 79563 authors who have published 220470 publications receiving 7698991 citations. The organization is also known as: CSIC & Consejo Superior de Investigaciones Científicas.
Topics: Population, Galaxy, Catalysis, Stars, Star formation


Papers
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Journal ArticleDOI
TL;DR: In this paper, a detailed analysis of the effect of environment on the star formation activity of galaxies within the Early Data Release (EDR) of the Sloan Digital Sky Survey (SDSS) was presented.
Abstract: We present in this paper a detailed analysis of the effect of environment on the star formation activity of galaxies within the Early Data Release (EDR) of the Sloan Digital Sky Survey (SDSS). We have used the Halpha emission line to derive the star formation rate (SFR) for each galaxy within a volume-limited sample of 8598 galaxies with 0.05 less than or equal to z less than or equal to 0.095 and M (r*) less than or equal to 20.45. We find that the SFR of galaxies is strongly correlated with the local ( projected) galaxy density, and thus we present here a density-SFR relation that is analogous to the density-morphology relation. The effect of density on the SFR of galaxies is seen in three ways. First, the overall distribution of SFRs is shifted to lower values in dense environments compared with the field population. Second, the effect is most noticeable for the strongly star-forming galaxies (Halpha EW > 5 Angstrom) in the 75th percentile of the SFR distribution. Third, there is a break ( or characteristic density) in the density-SFR relation at a local galaxy density of similar to1 h(75)(-2) Mpc(-2). To understand this break further, we have studied the SFR of galaxies as a function of clustercentric radius from 17 clusters and groups objectively selected from the SDSS EDR data. The distribution of SFRs of cluster galaxies begins to change, compared with the field population, at a clustercentric radius of 3-4 virial radii (at the >1sigma statistical significance), which is consistent with the characteristic break in density that we observe in the density-SFR relation. This effect with clustercentric radius is again most noticeable for the most strongly star-forming galaxies. Our tests suggest that the density-morphology relation alone is unlikely to explain the density-SFR relation we observe. For example, we have used the ( inverse) concentration index of SDSS galaxies to classify late-type galaxies and show that the distribution of the star-forming (EW Halpha > 5Angstrom) late-type galaxies is different in dense regions ( within 2 virial radii) compared with similar galaxies in the field. However, at present, we are unable to make definitive statements about the independence of the density-morphology and density-SFR relation. We have tested our work against potential systematic uncertainties including stellar absorption, reddening, SDSS survey strategy, SDSS analysis pipelines, and aperture bias. Our observations are in qualitative agreement with recent simulations of hierarchical galaxy formation that predict a decrease in the SFR of galaxies within the virial radius. Our results are in agreement with recent 2dF Galaxy Redshift Survey results as well as consistent with previous observations of a decrease in the SFR of galaxies in the cores of distant clusters. Taken together, these works demonstrate that the decrease in SFR of galaxies in dense environments is a universal phenomenon over a wide range in density (from 0.08 to 10 h(75)(-2) Mpc(-2)) and redshift (out to z similar or equal to 0.5).

752 citations

Journal ArticleDOI
Sergio Molinari1, B. Swinyard, John Bally2, M. J. Barlow3, J.-P. Bernard4, Paul Martin5, Toby J. T. Moore6, Alberto Noriega-Crespo7, Rene Plume8, Leonardo Testi1, Leonardo Testi9, Annie Zavagno10, Alain Abergel11, Babar Ali7, L. D. Anderson10, Ph. André12, J.-P. Baluteau10, Cara Battersby2, M. T. Beltrán1, M. Benedettini1, N. Billot7, J. A. D. L. Blommaert13, Sylvain Bontemps12, Sylvain Bontemps14, F. Boulanger11, Jan Brand1, Christopher M. Brunt15, Michael G. Burton16, Luca Calzoletti, Sean Carey7, Paola Caselli17, Riccardo Cesaroni1, José Cernicharo18, Sukanya Chakrabarti, Antonio Chrysostomou, Martin Cohen, Mathieu Compiegne5, P. de Bernardis19, G. de Gasperis20, A. M. di Giorgio1, Davide Elia1, F. Faustini, Nicolas Flagey7, Yasuo Fukui21, Gary A. Fuller22, K. Ganga23, Pedro García-Lario, Jason Glenn2, Paul F. Goldsmith24, Matthew Joseph Griffin25, Melvin Hoare17, Maohai Huang26, D. Ikhenaode19, C. Joblin4, G. Joncas27, Mika Juvela28, Jason M. Kirk25, Guilaine Lagache11, Jin-Zeng Li26, T. L. Lim, S. D. Lord7, Massimo Marengo29, Douglas J. Marshall4, Silvia Masi19, Fabrizio Massi1, Mikako Matsuura3, Vincent Minier12, Marc-Antoine Miville-Deschenes11, L. Montier4, L. K. Morgan6, Frédérique Motte12, Joseph C. Mottram15, T. G. Müller30, Paolo Natoli20, J. Neves31, Luca Olmi1, Roberta Paladini7, Deborah Paradis7, Harriet Parsons31, Nicolas Peretto22, Nicolas Peretto12, M. R. Pestalozzi1, Stefano Pezzuto1, F. Piacentini19, Lorenzo Piazzo19, D. Polychroni1, M. Pomarès10, Cristina Popescu30, William T. Reach7, Isabelle Ristorcelli4, Jean-François Robitaille27, Thomas P. Robitaille29, J. A. Rodón10, A. Roy5, Pierre Royer13, D. Russeil10, Paolo Saraceno1, Marc Sauvage12, Peter Schilke32, Eugenio Schisano1, Nicola Schneider12, Frederic Schuller, Benjamin L. Schulz7, B. Sibthorpe25, Hazel Smith29, Michael D. Smith33, L. Spinoglio1, Dimitrios Stamatellos25, Francesco Strafella, Guy S. Stringfellow2, E. Sturm30, R. Taylor8, Mark Thompson31, Alessio Traficante20, Richard J. Tuffs30, Grazia Umana1, Luca Valenziano1, R. Vavrek, M. Veneziani19, Serena Viti3, C. Waelkens13, Derek Ward-Thompson25, Glenn J. White34, L. A. Wilcock25, Friedrich Wyrowski, Harold W. Yorke24, Qizhou Zhang29 
TL;DR: In this paper, the first results from the science demonstration phase for the Hi-GAL survey, the Herschel key program that will map the inner Galactic plane of the Milky Way in 5 bands, were presented.
Abstract: We present the first results from the science demonstration phase for the Hi-GAL survey, the Herschel key program that will map the inner Galactic plane of the Milky Way in 5 bands. We outline our data reduction strategy and present some science highlights on the two observed 2° × 2° tiles approximately centered at l = 30° and l = 59°. The two regions are extremely rich in intense and highly structured extended emission which shows a widespread organization in filaments. Source SEDs can be built for hundreds of objects in the two fields, and physical parameters can be extracted, for a good fraction of them where the distance could be estimated. The compact sources (which we will call cores' in the following) are found for the most part to be associated with the filaments, and the relationship to the local beam-averaged column density of the filament itself shows that a core seems to appear when a threshold around AV ~ 1 is exceeded for the regions in the l = 59° field; a AV value between 5 and 10 is found for the l = 30° field, likely due to the relatively higher distances of the sources. This outlines an exciting scenario where diffuse clouds first collapse into filaments, which later fragment to cores where the column density has reached a critical level. In spite of core L/M ratios being well in excess of a few for many sources, we find core surface densities between 0.03 and 0.5 g cm-2. Our results are in good agreement with recent MHD numerical simulations of filaments forming from large-scale converging flows.

752 citations

Journal ArticleDOI
TL;DR: It is confirmed that eukaryotes form at least two domains, the loss of monophyly in the Excavata, robust support for the Haptista and Cryptista, and suggested primer sets for DNA sequences from environmental samples that are effective for each clade are provided.
Abstract: This revision of the classification of eukaryotes follows that of Adl et al., 2012 [J. Euk. Microbiol. 59(5)] and retains an emphasis on protists. Changes since have improved the resolution of many ...

750 citations

Journal ArticleDOI
TL;DR: The biomass and production of seagrass populations were reassessed based on the compilation of a large data set comprising estimates for 30 species, derived from the literature, indicating a general tendency for a balanced distribution of biomass between leaves and rhizomes + roots.

750 citations

Journal ArticleDOI
TL;DR: An alternative approach to quantify PP based on phenotypic distances among individuals of a given species exposed to different environments is summarized in a relative distance plasticity index (RDPI) that allows for statistical comparisons of PP between species (or populations within species).
Abstract: Summary 1 Global change and emerging concepts in ecology and evolution are leading to a growing interest in phenotypic plasticity (PP), the environmentally contingent trait expression observed in a given genotype. The need to quantify PP in a simple manner in comparative ecological studies has resulted in the prevalence of various indices instead of the classic approaches, i.e. a comparison of slopes in the norms of reactions (trait vs. environment plots). 2 The objectives of this study were: (i) to review the most common methods for quantitative estimation of PP; (ii) to apply them to a specific case study of growth and shoot‐root allocation responses to irradiance in seedlings of four woody species grown at 1%, 6%, 20% and 100% full sunlight; and (iii) to propose new methods of estimating PP. 3 The 17 different plasticity indices analysed rendered disparate results, with cross-overs in species PP rankings. Statistical comparisons of PP among species were not possible with most of the indices due to the lack of confidence intervals. The non-linear responses of the traits made the use of the slope of the reaction norm to quantify PP unrealistic, and raised awareness on values derived from studies that consider just two environments. 4 We propose an alternative approach to quantify PP based on phenotypic distances among individuals of a given species exposed to different environments, which is summarized in a relative distance plasticity index (RDPI) that allows for statistical comparisons of PP between species (or populations within species). RDPI was significantly correlated with 12 out of the 17 PP indices analysed. An index including the environmental range leading to the different phenotypes (environmentally standardized plasticity index, ESPI), and thus expressing plasticity per unit of environmental change, is also proposed. 5 The new indexes can statistically segregate and unambiguously rank species according to their PP, which can foster a better understanding of plant ecology and evolution, particularly when common protocols are used by different investigators.

750 citations


Authors

Showing all 79686 results

NameH-indexPapersCitations
Guido Kroemer2361404246571
George Efstathiou187637156228
Peidong Yang183562144351
H. S. Chen1792401178529
David R. Williams1782034138789
Andrea Bocci1722402176461
Adrian L. Harris1701084120365
Gang Chen1673372149819
Gregory J. Hannon165421140456
Alvaro Pascual-Leone16596998251
Jorge E. Cortes1632784124154
Dongyuan Zhao160872106451
John B. Goodenough1511064113741
David D'Enterria1501592116210
A. Gomes1501862113951
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
202371
2022463
202111,933
202012,584
201911,596