19 resultados para BMPR-IA


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[EUS] Litioa da presiorik gabe daukagun metalik arinena. Balentziako elektroi bakarra dauka eta elektroi ia askearen hurbilketan ondo deskribatzen dira litio soliodoaren propietate elektronikoak. Beraz, metal sinpletzat hartu izan da beti. Baina, presioa igotzen dugun heinean, intuizioaren aurka doazen fenomenoak ikusten dira eta aztergai dugun materiala oso interesgarria bilakatzen da. Horregatik, lan honetan litioaren propietate elektroniko eta dinamikoak aztertu ditugu presioapean.

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Lan honen atzean dagoen hipotesia Bizkaiko itsasadarretan dauden mikroplanktonen populazioak eta hiri-kutsadurak erlaziorik ote duten aztertzea da. Horretarako, ia urte eta erdian gazitasun altuko urak (> %3.0) hartu dira Nerbioi eta Urdaibai itsasadarretan urtaro guztietan. Lagin horietan beste ikerlari batzuk analisi genetiko orokorra bideratu dute mikroplanktonen dibertsitatea identifikatzeko eta lan honen helburua izan da PAHen analisia aurrera eramatea.

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We review the appropriateness of using SNIa observations to detect potential signatures of anisotropic expansion in the Universe. We focus on Union2 and SNLS3 SNIa datasets and use the hemispherical comparison method to detect possible anisotropic features. Unlike some previous works where nondiagonal elements of the covariance matrix were neglected, we use the full covariance matrix of the SNIa data, thus obtaining more realistic and not underestimated errors. As a matter of fact, the significance of previously claimed detections of a preferred direction in the Union2 dataset completely disappears once we include the effects of using the full covariance matrix. Moreover, we also find that such apreferred direction is aligned with the orthogonal direction of the SDSS observational plane and this suggests a clear indication that the SDSS subsample of the Union2 dataset introduces a significant bias, making the detected preferred direction unphysical. We thus find that current SNIa surveys are inappropriate to test anisotropic features due to their highly non-homogeneous angular distribution in the sky. In addition, after removal of the highest in homogeneous sub-samples, the number of SNIa is too low. Finally, we take advantage of the particular distribution of SNLS SNIa sub- sample in the SNLS3 data set, in which the observations were taken along four different directions. We fit each direction independently and find consistent results at the 1 sigma level. Although the likelihoods peak at relatively different values of Omega(m), the low number of data along each direction gives rise to large errors so that the likelihoods are sufficiently broad as to overlap within 1 sigma. (C) 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http:// creativecommons. org/licenses/by/4.0/).

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In this work we show the results obtained applying a Unified Dark Matter (UDM) model with a fast transition to a set of cosmological data. Two different functions to model the transition are tested, and the feasibility of both models is explored using CMB shift data from Planck [1], Galaxy Clustering data from [2] and [3], and Union2.1 SNe Ia [4]. These new models are also statistically compared with the ACDM and quiessence models using Bayes factor through evidence. Bayesian inference does not discard the UDM models in favor of ACDM.