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Institution

University of Valencia

EducationValencia, Spain
About: University of Valencia is a education organization based out in Valencia, Spain. It is known for research contribution in the topics: Population & Context (language use). The organization has 27096 authors who have published 65669 publications receiving 1765689 citations. The organization is also known as: Universitat de València & UV.


Papers
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Journal ArticleDOI
B. P. Abbott1, Richard J. Abbott1, T. D. Abbott2, Fausto Acernese3  +1235 moreInstitutions (132)
TL;DR: This analysis expands upon previous analyses by working under the hypothesis that both bodies were neutron stars that are described by the same equation of state and have spins within the range observed in Galactic binary neutron stars.
Abstract: On 17 August 2017, the LIGO and Virgo observatories made the first direct detection of gravitational waves from the coalescence of a neutron star binary system. The detection of this gravitational-wave signal, GW170817, offers a novel opportunity to directly probe the properties of matter at the extreme conditions found in the interior of these stars. The initial, minimal-assumption analysis of the LIGO and Virgo data placed constraints on the tidal effects of the coalescing bodies, which were then translated to constraints on neutron star radii. Here, we expand upon previous analyses by working under the hypothesis that both bodies were neutron stars that are described by the same equation of state and have spins within the range observed in Galactic binary neutron stars. Our analysis employs two methods: the use of equation-of-state-insensitive relations between various macroscopic properties of the neutron stars and the use of an efficient parametrization of the defining function pðρÞ of the equation of state itself. From the LIGO and Virgo data alone and the first method, we measure the two neutron star radii as R1 ¼ 10.8 þ2.0 −1.7 km for the heavier star and R2 ¼ 10.7 þ2.1 −1.5 km for the lighter star at the 90% credible level. If we additionally require that the equation of state supports neutron stars with masses larger than 1.97 M⊙ as required from electromagnetic observations and employ the equation-of-state parametrization, we further constrain R1 ¼ 11.9 þ1.4 −1.4 km and R2 ¼ 11.9 þ1.4 −1.4 km at the 90% credible level. Finally, we obtain constraints on pðρÞ at supranuclear densities, with pressure at twice nuclear saturation density measured at 3.5 þ2.7 −1.7 × 1034 dyn cm−2 at the 90% level.

1,595 citations

Journal ArticleDOI
TL;DR: In this paper, three methods to retrieve the land surface temperature (LST) from thermal infrared data supplied by band 6 of the Thematic Mapper (TM) sensor onboard the Landsat 5 satellite are compared.

1,594 citations

Journal ArticleDOI
01 Jan 2000-Neuron
TL;DR: The hypothesis that alpha-Syn is an essential presynaptic, activity-dependent negative regulator of DA neurotransmission is supported.

1,593 citations

Journal ArticleDOI
TL;DR: A conceptual model featuring its complex, multiple, relativistic and dynamic nature as a more comprehensive framework of destination image is proposed as an intradisciplinary marketing perspective.

1,574 citations

Journal ArticleDOI
Bin Zhou1, James Bentham1, Mariachiara Di Cesare2, Honor Bixby1  +787 moreInstitutions (231)
TL;DR: The number of adults with raised blood pressure increased from 594 million in 1975 to 1·13 billion in 2015, with the increase largely in low-income and middle-income countries, and the contributions of changes in prevalence versus population growth and ageing to the increase.

1,573 citations


Authors

Showing all 27402 results

NameH-indexPapersCitations
H. S. Chen1792401178529
Alvaro Pascual-Leone16596998251
Sabino Matarrese155775123278
Subir Sarkar1491542144614
Carlos Escobar148118495346
Marco Costa1461458105096
Carmen García139150396925
Javier Cuevas1381689103604
M. I. Martínez134125179885
Marco Aurelio Diaz134101593580
Avelino Corma134104989095
Kevin Lannon133165295436
Marina Cobal132107885437
Mogens Dam131110983717
Marcel Vos13199385194
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20251
2023140
2022487
20214,747
20204,696
20193,996