7,193 research outputs found

    On the effect of solar particles over the polar upper atmosphere

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    It has been reported that the abundance of nitrates in the polar region shows an 11 year periodicity which is clearly connected to solar activity. In this paper, we investigate whether or not this variation in nitrates can be explained by solar proton events (SPE) using data of the variation in galactic cosmic rays (GCR) over two solar cycles. As the result of our analysis, it would appear that SPE do not play a major role in producing the year-to-year variability in nitrate abundance in the polar region over the 11 year solar cycle. We have found that, if the short wave length (≤ 300 nm) radiation from the Sun varies by ∼ 0.1% over the 11 year solar cycle, the variation in nitrates can be explained naturally. The explanation requires that the intensity of GCR should increase to about 3000 times its present level. It would be useful to explore whether or not our planet has been exposed to such strong fluxes of GCR as a consequence of supernova explosions in the past

    Bridging the Gap between Probabilistic and Deterministic Models: A Simulation Study on a Variational Bayes Predictive Coding Recurrent Neural Network Model

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    The current paper proposes a novel variational Bayes predictive coding RNN model, which can learn to generate fluctuated temporal patterns from exemplars. The model learns to maximize the lower bound of the weighted sum of the regularization and reconstruction error terms. We examined how this weighting can affect development of different types of information processing while learning fluctuated temporal patterns. Simulation results show that strong weighting of the reconstruction term causes the development of deterministic chaos for imitating the randomness observed in target sequences, while strong weighting of the regularization term causes the development of stochastic dynamics imitating probabilistic processes observed in targets. Moreover, results indicate that the most generalized learning emerges between these two extremes. The paper concludes with implications in terms of the underlying neuronal mechanisms for autism spectrum disorder and for free action.Comment: This paper is accepted the 24th International Conference On Neural Information Processing (ICONIP 2017). The previous submission to arXiv is replaced by this version because there was an error in Equation

    Orbital Motion in the Radio Galaxy 3C 66B: Evidence for a Supermassive Black Hole Binary

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    Supermassive black hole binaries may exist in the centers of active galactic nuclei like quasars and radio galaxies and mergers between galaxies may result in the formation of supermassive binaries during the course of galactic evolution. Using the very-long-baseline interferometer, we imaged the radio galaxy 3C 66B at radio frequencies and found that the unresolved radio core of 3C 66B shows well-defined elliptical motions with a period of 1.05 +/- 0.03 years, which provides a direct detection of a supermassive black hole binary.Comment: 8 pages, 3 figures, to appear in the Scienc

    Central retinal vein occlusion in hypertensive patients with chronic hepatitis C treated with interferon alpha and ribavirin

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    ArticleJAPANESE JOURNAL OF OPHTHALMOLOGY. 52(6):511-513 (2008)journal articl

    Evolution of the Fraction of Clumpy Galaxies at 0.2<z<1.0 in the COSMOS field

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    Using the Hubble Space Telescope/Advanced Camera for Surveys data in the COSMOS field, we systematically searched clumpy galaxies at 0.2<z<1.0 and investigated the fraction of clumpy galaxies and its evolution as a function of stellar mass, star formation rate (SFR), and specific SFR (SSFR). The fraction of clumpy galaxies in star-forming galaxies with Mstar > 10^9.5 Msun decreases with time from ~0.35 at 0.8<z<1.0 to ~0.05 at 0.2<z<0.4 irrespective of the stellar mass, although the fraction tends to be slightly lower for massive galaxies with Mstar > 10^10.5 Msun at each redshift. On the other hand, the fraction of clumpy galaxies increases with increasing both SFR and SSFR in all the redshift ranges we investigated. In particular, we found that the SSFR dependences of the fractions are similar among galaxies with different stellar masses, and the fraction at a given SSFR does not depend on the stellar mass in each redshift bin. The evolution of the fraction of clumpy galaxies from z~0.9 to z~0.3 seems to be explained by such SSFR dependence of the fraction and the evolution of SSFRs of star-forming galaxies. The fraction at a given SSFR also appears to decrease with time, but this can be due to the effect of the morphological K-correction. We suggest that these results are understood by the gravitational fragmentation model for the formation of giant clumps in disk galaxies, where the gas mass fraction is a crucial parameter.Comment: 14 Pages, 13 Figures, 1 Table, Accepted for publication in Ap
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