5,923 research outputs found
A Relic Neutrino Detector
Probably the most promising way of detecting cosmic neutrinos is measuring
the mechanical force exerted by elastic scattering of cosmic neutrinos from
macroscopic targets. The expected acceleration is for
Dirac neutrinos of mass and local density . A
novel torsion balance design is presented. which addresses the
sensitivity-limiting factors of existing balances, such as seismic and thermal
noise, and angular readout resolution and stability.Comment: 4 pages, 2 figures. In proceedings of the COSMO-98 Int'l Workshop on
Particle Physics and the Early Universe, edited by D. Caldwell (AIP Press,
New York, 1999
Axions from wall decay
We discuss the decay of axion walls bounded by strings and present numerical
simulations of the decay process. In these simulations, the decay happens
immediately, in a time scale of order the light travel time, and the average
energy of the radiated axions is for . is found to increase approximately linearly with
. Extrapolation of this behaviour yields in axion models of interest.Comment: 6 pages, 7 figures, to be published in the Proc. of the 5th IFT Axion
workshop Gainesville FL, Mar 13-15 199
Local Multiplicative Bias Correction for Asymmetric Kernel Density Estimators
We consider semiparametric asymmetric kernel density estimators when the unknown density has support on [0, ¥). We provide a unifying framework which contains asymmetric kernel versions of several semiparametric density estimators considered previously in the literature. This framework allows us to use popular parametric models in a nonparametric fashion and yields estimators which are robust to misspecification. We further develop a specification test to determine if a density belongs to a particular parametric family. The proposed estimators outperform rival non- and semiparametric estimators in finite samples and are simple to implement. We provide applications to loss data from a large Swiss health insurer and Brazilian income data.semiparametric density estimation; asymmetric kernel; income distribution; loss distribution; health insurance; specification testing
Real Asset Returns and Components of Inflation: A Structural VAR Analysis
We shed new light on the negative relationship between real stock returns or real interest rates and (i) ex post inflation, (ii) expected inflation, (iii) unexpected inflation and (iv) changes in expected inflation. Using the structural vector autoregression methodology, we propose a decomposition of those series into economically interpretable components driven by aggregate supply, real demand and money market shocks. Our empirical results support Fama’s ’proxy hypothesis’ and the predictions of several general equilibrium models. Concerning the negative relation between the real rate of interest and inflation, we find that the Mundell-Tobin model and the explanation of Fama and Gibbons (1982) are not competitors: both add insight in their own way about the reasons for the negative correlation between those variables. However, the importance of the latter explanation has decreased since the 1980’s.real stock returns, real rate of interest, expected and unexpected inflation, ’Fisher hypothesis’, structural VAR.
A 1 GHz RF Trigger Unit implemented in FPGA logic
Applications of Trigger Units (TU) can be found in almost all accelerators at
CERN. The requirements in terms of operating frequencies, configuration or
modes of operation change from one application to another, how-ever, in terms
of design requirements for the Trigger Unit, the operating frequency is
probably the most demanding one. In this work, we present an implementation of
a Trigger Unit almost fully embedded in the FPGA logic operating at a maximum
frequency of 1 GHz using the internal serializer/deserializer circuitry to
simplify the timing constraints of the design. This implementation allows easy
reconfiguration of the module and the development of new modes of operation,
which are described in this paper.Comment: Poster presented at LLRF Workshop 2017 (LLRF2017, arXiv:1803.07677
Critical examination of the inherent-structure-landscape analysis of two-state folding proteins
Recent studies attracted the attention on the inherent structure landscape
(ISL) approach as a reduced description of proteins allowing to map their full
thermodynamic properties. However, the analysis has been so far limited to a
single topology of a two-state folding protein, and the simplifying assumptions
of the method have not been examined. In this work, we construct the
thermodynamics of four two-state folding proteins of different sizes and
secondary structure by MD simulations using the ISL method, and critically
examine possible limitations of the method. Our results show that the ISL
approach correctly describes the thermodynamics function, such as the specific
heat, on a qualitative level. Using both analytical and numerical methods, we
show that some quantitative limitations cannot be overcome with enhanced
sampling or the inclusion of harmonic corrections.Comment: published Physical Review E, vol. 80, 061907-1-11 (2009
- …