Institution
National Autonomous University of Mexico
Education•Mexico City, Distrito Federal, Mexico•
About: National Autonomous University of Mexico is a education organization based out in Mexico City, Distrito Federal, Mexico. It is known for research contribution in the topics: Population & Galaxy. The organization has 72868 authors who have published 127797 publications receiving 2285543 citations. The organization is also known as: UNAM & Universidad Nacional Autónoma de México.
Topics: Population, Galaxy, Thin film, Species richness, Catalysis
Papers published on a yearly basis
Papers
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TL;DR: The consistency of these results strongly suggests that tropical rain forest species face similar trade-offs in different sites and converge on similar sets of solutions.
Abstract: A central goal of comparative plant ecology is to understand how functional traits vary among species and to what extent this variation has adaptive value. Here we evaluate relationships between four functional traits (seed volume, specific leaf area, wood density, and adult stature) and two demographic attributes (diameter growth and tree mortality) for large trees of 240 tree species from five Neotropical forests. We evaluate how these key functional traits are related to survival and growth and whether similar relationships between traits and demography hold across different tropical forests. There was a tendency for a trade-off between growth and survival across rain forest tree species. Wood density, seed volume, and adult stature were significant predictors of growth and/or mortality. Both growth and mortality rates declined with an increase in wood density. This is consistent with greater construction costs and greater resistance to stem damage for denser wood. Growth and mortality rates also declined as seed volume increased. This is consistent with an adaptive syndrome in which species tolerant of low resource availability (in this case shade-tolerant species) have large seeds to establish successfully and low inherent growth and mortality rates. Growth increased and mortality decreased with an increase in adult stature, because taller species have a greater access to light and longer life spans. Specific leaf area was, surprisingly, only modestly informative for the performance of large trees and had ambiguous relationships with growth and survival. Single traits accounted for 9-55% of the interspecific variation in growth and mortality rates at individual sites. Significant correlations with demographic rates tended to be similar across forests and for phylogenetically independent contrasts as well as for cross-species analyses that treated each species as an independent observation. In combination, the morphological traits explained 41% of the variation in growth rate and 54% of the variation in mortality rate, with wood density being the best predictor of growth and mortality. Relationships between functional traits and demographic rates were statistically similar across a wide range of Neotropical forests. The consistency of these results strongly suggests that tropical rain forest species face similar trade-offs in different sites and converge on similar sets of solutions.
593 citations
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Max Planck Society1, Heidelberg Institute for Theoretical Studies2, Heidelberg University3, National Autonomous University of Mexico4, Massachusetts Institute of Technology5, University of Florida6, York University7, University of Bologna8, Smithsonian Institution9, Northwestern University10, Durham University11, University of Iceland12
TL;DR: The full public release of all data from the TNG100 and TNG300 simulations of the IllustrisTNG project is presented in this article, which includes a comprehensive model for galaxy formation physics, and each TNG simulation selfconsistently solves for the coupled evolution of dark matter, cosmic gas, luminous stars, and supermassive black holes from early time to the present day.
Abstract: We present the full public release of all data from the TNG100 and TNG300 simulations of the IllustrisTNG project. IllustrisTNG is a suite of large volume, cosmological, gravo-magnetohydrodynamical simulations run with the moving-mesh code Arepo. TNG includes a comprehensive model for galaxy formation physics, and each TNG simulation self-consistently solves for the coupled evolution of dark matter, cosmic gas, luminous stars, and supermassive black holes from early time to the present day, $z=0$
. Each of the flagship runs—TNG50, TNG100, and TNG300—are accompanied by halo/subhalo catalogs, merger trees, lower-resolution and dark-matter only counterparts, all available with 100 snapshots. We discuss scientific and numerical cautions and caveats relevant when using TNG. The data volume now directly accessible online is ∼750 TB, including 1200 full volume snapshots and ∼80,000 high time-resolution subbox snapshots. This will increase to ∼1.1 PB with the future release of TNG50. Data access and analysis examples are available in IDL, Python, and Matlab. We describe improvements and new functionality in the web-based API, including on-demand visualization and analysis of galaxies and halos, exploratory plotting of scaling relations and other relationships between galactic and halo properties, and a new JupyterLab interface. This provides an online, browser-based, near-native data analysis platform enabling user computation with local access to TNG data, alleviating the need to download large datasets.
588 citations
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United States Geological Survey1, Stanford University2, Geological Survey of Canada3, University of São Paulo4, Massachusetts Institute of Technology5, British Geological Survey6, Karlsruhe Institute of Technology7, Cochin University of Science and Technology8, Russian Academy of Sciences9, Columbia University10, University of Paris-Sud11, University of South Carolina12, Luleå University of Technology13, National Autonomous University of Mexico14, Complutense University of Madrid15
TL;DR: In this article, the authors used regional patterns of present-day tectonic stress to evaluate the forces acting on the lithosphere and to investigate intraplate seismicity, and found that most intraplate regions are characterized by a compressional stress regime; extension is limited almost entirely to thermally uplifted regions.
Abstract: Regional patterns of present-day tectonic stress can be used to evaluate the forces acting on the lithosphere and to investigate intraplate seismicity. Most intraplate regions are characterized by a compressional stress regime; extension is limited almost entirely to thermally uplifted regions. In several plates the maximum horizontal stress is subparallel to the direction of absolute plate motion, suggesting that the forces driving the plates also dominate the stress distribution in the plate interior.
587 citations
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TL;DR: The ALICE Collaboration as mentioned in this paper is a general-purpose heavy-ion experiment designed to study the physics of strongly interacting matter and the quark-gluon plasma in nucleus-nucleus collisions at the LHC.
Abstract: ALICE is a general-purpose heavy-ion experiment designed to study the physics of strongly interacting matter and the quark–gluon plasma in nucleus–nucleus collisions at the LHC. It currently involves more than 900 physicists and senior engineers, from both the nuclear and high-energy physics sectors, from over 90 institutions in about 30 countries.The ALICE detector is designed to cope with the highest particle multiplicities above those anticipated for Pb–Pb collisions (dNch/dy up to 8000) and it will be operational at the start-up of the LHC. In addition to heavy systems, the ALICE Collaboration will study collisions of lower-mass ions, which are a means of varying the energy density, and protons (both pp and pA), which primarily provide reference data for the nucleus–nucleus collisions. In addition, the pp data will allow for a number of genuine pp physics studies.The detailed design of the different detector systems has been laid down in a number of Technical Design Reports issued between mid-1998 and the end of 2004. The experiment is currently under construction and will be ready for data taking with both proton and heavy-ion beams at the start-up of the LHC.Since the comprehensive information on detector and physics performance was last published in the ALICE Technical Proposal in 1996, the detector, as well as simulation, reconstruction and analysis software have undergone significant development. The Physics Performance Report (PPR) provides an updated and comprehensive summary of the performance of the various ALICE subsystems, including updates to the Technical Design Reports, as appropriate.The PPR is divided into two volumes. Volume I, published in 2004 (CERN/LHCC 2003-049, ALICE Collaboration 2004 J. Phys. G: Nucl. Part. Phys. 30 1517–1763), contains in four chapters a short theoretical overview and an extensive reference list concerning the physics topics of interest to ALICE, the experimental conditions at the LHC, a short summary and update of the subsystem designs, and a description of the offline framework and Monte Carlo event generators.The present volume, Volume II, contains the majority of the information relevant to the physics performance in proton–proton, proton–nucleus, and nucleus–nucleus collisions. Following an introductory overview, Chapter 5 describes the combined detector performance and the event reconstruction procedures, based on detailed simulations of the individual subsystems. Chapter 6 describes the analysis and physics reach for a representative sample of physics observables, from global event characteristics to hard processes.
587 citations
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Carnegie Institution for Science1, University of California, Santa Cruz2, Carnegie Learning3, University of California, Berkeley4, Lawrence Berkeley National Laboratory5, Pennsylvania State University6, University of Copenhagen7, Johns Hopkins University8, Space Telescope Science Institute9, California Institute of Technology10, Massachusetts Institute of Technology11, Diego Portales University12, University of Notre Dame13, Joint Institute for Nuclear Astrophysics14, National Autonomous University of Mexico15, University of La Serena16, Herzberg Institute of Astrophysics17, University of Victoria18, Valparaiso University19, Texas A&M University20, Catholic University of the North21, Millennium Institute22, University of Sydney23
TL;DR: In this paper, the authors present ultraviolet, optical, and infrared light curves of SSS17a extending from 10.9 hours to 18 days post-merger, showing that the late-time light curve indicates that SSS 17a produced at least 0.05 solar masses of heavy elements, demonstrating that neutron star mergers play a role in rapid neutron capture (r-process) nucleosynthesis in the universe.
Abstract: On 17 August 2017, gravitational waves (GWs) were detected from a binary neutron star merger, GW170817, along with a coincident short gamma-ray burst, GRB 170817A. An optical transient source, Swope Supernova Survey 17a (SSS17a), was subsequently identified as the counterpart of this event. We present ultraviolet, optical, and infrared light curves of SSS17a extending from 10.9 hours to 18 days postmerger. We constrain the radioactively powered transient resulting from the ejection of neutron-rich material. The fast rise of the light curves, subsequent decay, and rapid color evolution are consistent with multiple ejecta components of differing lanthanide abundance. The late-time light curve indicates that SSS17a produced at least ~0.05 solar masses of heavy elements, demonstrating that neutron star mergers play a role in rapid neutron capture (r-process) nucleosynthesis in the universe.
582 citations
Authors
Showing all 73617 results
Name | H-index | Papers | Citations |
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Richard Peto | 183 | 683 | 231434 |
Anton M. Koekemoer | 168 | 1127 | 106796 |
Rory Collins | 162 | 489 | 193407 |
Timothy C. Beers | 156 | 934 | 102581 |
Vivek Sharma | 150 | 3030 | 136228 |
Kjell Fuxe | 142 | 1479 | 89846 |
Prashant V. Kamat | 140 | 725 | 79259 |
Carmen García | 139 | 1503 | 96925 |
Harold A. Mooney | 135 | 450 | 100404 |
Efe Yazgan | 128 | 986 | 79041 |
Roberto Maiolino | 127 | 816 | 61724 |
Peter Nugent | 127 | 754 | 92988 |
William R. Miller | 125 | 601 | 72570 |
Nicholas A. Kotov | 123 | 574 | 55210 |
John C. Wingfield | 122 | 509 | 52291 |