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Institution

University of Oviedo

EducationOviedo, Spain
About: University of Oviedo is a education organization based out in Oviedo, Spain. It is known for research contribution in the topics: Population & Catalysis. The organization has 13423 authors who have published 31649 publications receiving 844799 citations. The organization is also known as: Universidá d'Uviéu & Universidad de Oviedo.


Papers
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Journal ArticleDOI
Vardan Khachatryan1, Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam2  +2119 moreInstitutions (141)
29 May 2015
TL;DR: In this paper, a search for particle dark matter (DM), extra dimensions, and unparticles using events containing a jet and an imbalance in transverse momentum was conducted at the LHC.
Abstract: Results are presented from a search for particle dark matter (DM), extra dimensions, and unparticles using events containing a jet and an imbalance in transverse momentum. The data were collected by the CMS detector in proton-proton collisions at the LHC and correspond to an integrated luminosity of 19.7 fb$^{-1}$ at a centre-of-mass energy of 8 TeV. The number of observed events is found to be consistent with the standard model prediction. Limits are placed on the DM-nucleon scattering cross section as a function of the DM particle mass for spin-dependent and spin-independent interactions. Limits are also placed on the scale parameter $M_\mathrm{D}$ in the ADD model of large extra dimensions, and on the unparticle model parameter $\Lambda_\mathrm{U}$. The constraints on ADD models and unparticles are the most stringent limits in this channel and those on the DM-nucleon scattering cross section are an improvement over previous collider results.

425 citations

Journal ArticleDOI
TL;DR: In this paper, measurements of two-and four-particle angular correlations for charged particles emitted in pPb collisions are presented over a wide range in pseudorapidity and full azimuth.

423 citations

Journal ArticleDOI
TL;DR: It is proposed that Atg4C is not essential for autophagy development under normal conditions but is required for a proper autophagic response under stressful conditions such as prolonged starvation, and that this enzyme could play an in vivo role in events associated with tumor progression.

417 citations

Journal ArticleDOI
TL;DR: This novel signalling pathway has two important implications: on one hand, it represents an auto regulatory loop for TNFR2; on the other hand, when this signal is triggered TNFR1 activity is modified so that antiapoptotic pathways are inhibited and apoptotic reactions are enhanced.

411 citations

Journal ArticleDOI
Nabila Aghanim1, M. Ashdown2, J. Aumont1, Carlo Baccigalupi3  +215 moreInstitutions (56)
TL;DR: In this paper, the authors describe the identification, modelling, and removal of previously unexplained systematic effects in the polarization data of the Planck High Frequency Instrument (HFI) on large angular scales.
Abstract: This paper describes the identification, modelling, and removal of previously unexplained systematic effects in the polarization data of the Planck High Frequency Instrument (HFI) on large angular scales, including new mapmaking and calibration procedures, new and more complete end-to-end simulations, and a set of robust internal consistency checks on the resulting maps These maps, at 100, 143, 217, and 353 GHz, are early versions of those that will be released in final form later in 2016 The improvements allow us to determine the cosmic reionization optical depth τ using, for the first time, the low-multipole EE data from HFI, reducing significantly the central value and uncertainty, and hence the upper limit Two different likelihood procedures are used to constrain τ from two estimators of the CMB E- and B-mode angular power spectra at 100 and 143 GHz, after debiasing the spectra from a small remaining systematic contamination These all give fully consistent results A further consistency test is performed using cross-correlations derived from the Low Frequency Instrument maps of the Planck 2015 data release and the new HFI data For this purpose, end-to-end analyses of systematic effects from the two instruments are used to demonstrate the near independence of their dominant systematic error residuals The tightest result comes from the HFI-based τ posterior distribution using the maximum likelihood power spectrum estimator from EE data only, giving a value 0055 ± 0009 In a companion paper these results are discussed in the context of the best-fit PlanckΛCDM cosmological model and recent models of reionization

410 citations


Authors

Showing all 13643 results

NameH-indexPapersCitations
Russel J. Reiter1691646121010
Carlo Rovelli1461502103550
J. González-Nuevo144500108318
German Martinez1411476107887
Roland Horisberger1391471100458
Francisco Herrera139100182976
Javier Cuevas1381689103604
Teresa Rodrigo1381831103601
L. Toffolatti13637695529
Elias Campo13576185160
Gabor Istvan Veres135134996104
Francisco Matorras134142894627
Joe Incandela134154993750
Nikhil C. Munshi13490667349
Luca Scodellaro134174198331
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202396
2022268
20211,825
20201,913
20191,806
20181,721