25,743 research outputs found
Deficient Reasoning for Dark Matter in Galaxies
Astronomers have been using the measured luminosity to estimate the {\em
luminous mass} of stars, based on empirically established mass-to-light ratio
which seems to be only applicable to a special class of stars---the
main-sequence stars---with still considerable uncertainties. Another basic tool
to determine the mass of a system of stars or galaxies comes from the study of
their motion, as Newton demonstrated with his law of gravitation, which yields
the {\em gravitational mass}. Because the luminous mass can at best only
represent a portion of the gravitational mass, finding the luminous mass to be
different or less than the gravitational mass should not be surprising. Using
such an apparent discrepancy as a compelling evidence for the so-called dark
matter, which has been believed to possess mysterious nonbaryonic properties
and present a dominant amount in galaxies and the universe, seems to be too far
a stretch when seriously examining the facts and uncertainties in the
measurement techniques. In our opinion, a galaxy with star type distribution
varying from its center to edge may have a mass-to-light ratio varying
accordingly. With the thin-disk model computations based on measured rotation
curves, we found that most galaxies have a typical mass density profile that
peaks at the galactic center and decreases rapidly within of the
cut-off radius, and then declines nearly exponentially toward the edge. The
predicted mass density in the Galactic disk is reasonably within the reported
range of that observed in interstellar medium. This leads us to believe that
ordinary baryonic matter can be sufficient for supporting the observed galactic
rotation curves; speculation of large amount of non-baryonic matter may be
based on an ill-conceived discrepancy between gravitational mass and luminous
mass which appears to be unjustified
Multi-pole multi-zero frequency-independent phase-shifter
A multi-pole, multi-zero design allowed realizing a "true" phase-shifter (not
time-delayer) of flat frequency-response over more than 3 decades
(30Hz-100kHz), which can be extended to higher frequencies or broader bands
thanks to a modular design. Frequency-dependent optimization of a single
resistance made also the gain flat to within few percents. The
frequency-independent phase-shifter presented can find application in any
experiment in which an action needs to be taken (e.g. a measurement needs to be
performed) at a fixed phase-delay relative to an event, regardless of how
rapidly the system rotates or oscillates.Comment: 4 pages, 7 figure
Hubble Space Telescope Imaging of the Active Dwarf Galaxy RGG 118
RGG 118 (SDSS 1523+1145) is a nearby (), dwarf disk galaxy
() found to host an active
solar mass black hole at its core (Baldassare et al. 2015). RGG 118 is one of a
growing collective sample of dwarf galaxies known to contain active galactic
nuclei -- a group which, until recently, contained only a handful of objects.
Here, we report on new \textit{Hubble Space Telescope} Wide Field Camera 3 UVIS
and IR imaging of RGG 118, with the main goal of analyzing its structure. Using
2-D parametric modeling, we find that the morphology of RGG 118 is best
described by an outer spiral disk, inner component consistent with a
pseudobulge, and central PSF. The luminosity of the PSF is consistent with the
central point source being dominated by the AGN. We measure the luminosity and
mass of the "pseudobulge" and confirm that the central black hole in RGG 118 is
under-massive with respect to the and relations. This result is consistent with a picture in which black
holes in disk-dominated galaxies grow primarily through secular processes.Comment: Accepted to Astrophysical Journal. 11 pages, 8 figure
Vector Multiplicative Error Models: Representation and Inference
The Multiplicative Error Model introduced by Engle (2002) for positive valued processes is specified as the product of a (conditionally autoregressive) scale factor and an innovation process with positive support. In this paper we propose a multi-variate extension of such a model, by taking into consideration the possibility that the vector innovation process be contemporaneously correlated. The estimation procedure is hindered by the lack of probability density functions for multivariate positive valued random variables. We suggest the use of copulafunctions and of estimating equations to jointly estimate the parameters of the scale factors and of the correlations of the innovation processes. Empirical applications on volatility indicators are used to illustrate the gains over the equation by equation procedure.
A Multiple Indicators Model for Volatility Using Intra-Daily Data
Many ways exist to measure and model financial asset volatility. In principle, as the frequency of the data increases, the quality of forecasts should improve. Yet, there is no consensus about a true' or best' measure of volatility. In this paper we propose to jointly consider absolute daily returns, daily high-low range and daily realized volatility to develop a forecasting model based on their conditional dynamics. As all are non-negative series, we develop a multiplicative error model that is consistent and asymptotically normal under a wide range of specifications for the error density function. The estimation results show significant interactions between the indicators. We also show that one-month-ahead forecasts match well (both in and out of sample) the market-based volatility measure provided by an average of implied volatilities of index options as measured by VIX.
Estimating total momentum at finite distances
We study the difficulties associated with the evaluation of the total Bondi
momentum at finite distances around the central source of a general
(asymptotically flat) spacetime. Since the total momentum is only rigorously
defined at future null infinity, both finite distance and gauge effects must be
taken into account for a correct computation of this quantity.
Our discussion is applicable in general contexts but is particularly relevant
in numerically constructed spacetimes for both extracting important physical
information and assessing the accuracy of additional quantities.Comment: 10 pages, 1 figure. Typos corrected. Comments added and a new
Appendix. To be published in PR
Strong boards, ownership concentration and EU banks' systemic risk-taking: Evidence from the financial crisis
We examine the effects of board composition and ownership on traditional measures of bank risk and proxies of bank tail and systemic risk. Both banks’ corporate governance shortcomings and systemic risk-taking have been recognized among the potential causes of the 2007 financial crisis. Yet, their interaction has received less attention so far. Based on a sample of 40 European banks over the period 2006–2010, we find that the boards ‘characteristics affect banks’ systemic risk, except for board independence and that this relation depends on capital regulations, banking systems’ ownership structures and bank activity restrictions
Double dynamical regime of confined water
The Van Hove self correlation function of water confined in a silica pore is
calculated from Molecular Dynamics trajectories upon supercooling. At long time
in the relaxation region we found that the behaviour of the real space
time dependent correlators can be decomposed in a very slow, almost frozen,
dynamics due to the bound water close to the substrate and a faster dynamics of
the free water which resides far from the confining surface. For free water we
confirm the evidences of an approach to a crossover mode coupling transition,
previously found in Q space. In the short time region we found that the two
dynamical regimes are overimposed and cannot be distinguished. This shows that
the interplay between the slower and the faster dynamics emerges in going from
early times to the relaxation region, where a layer analysis of the
dynamical properties can be performed.Comment: 6 pages with 9 figures. RevTeX. Accepted for pulbication in J. Phys.
Cond. Mat
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