463 research outputs found
Electron acceleration with improved Stochastic Differential Equation method: cutoff shape of electron distribution in test-particle limit
We develop a method of stochastic differential equation to simulate electron
acceleration at astrophysical shocks. Our method is based on It\^{o}'s
stochastic differential equations coupled with a particle splitting, employing
a skew Brownian motion where an asymmetric shock crossing probability is
considered. Using this code, we perform simulations of electron acceleration at
stationary plane parallel shock with various parameter sets, and studied how
the cutoff shape, which is characterized by cutoff shape parameter , changes
with the momentum dependence of the diffusion coefficient . In the
age-limited cases, we reproduce previous results of other authors,
. In the cooling-limited cases, the analytical expectation
is roughly reproduced although we recognize deviations to
some extent. In the case of escape-limited acceleration, numerical result fits
analytical stationary solution well, but deviates from the previous asymptotic
analytical formula .Comment: corrected typos, 10 pages, 4 figures, 2 tables, JHEAp in pres
Active liquid-crystal deflector and lens with Fresnel structure
SPIE OPTO, 2017, San Francisco, California, United StatesGiichi Shibuya, Shohei Yamano, Hiroyuki Yoshida, and Masanori Ozaki "Active liquid-crystal deflector and lens with Fresnel structure", Proc. SPIE 10125, Emerging Liquid Crystal Technologies XII, 101250V (15 February 2017). DOI: https://doi.org/10.1117/12.226111
Effect of the surface geology on strong ground motions due to the 2016 Central Tottori Earthquake, Japan
On October 21, 2016, an earthquake with Japan Meteorological Agency (JMA) magnitude 6.6 hit the central part of Tottori Prefecture, Japan. This paper demonstrates two notable effects of the surface geology on strong ground motions due to the earthquake. One is a predominant period issue observed over a large area. A seismic intensity of 6 lower on the JMA scale was registered at three sites in the disaster area. However, the peak ground acceleration ranged from 0.3 to 1.4 G at the three sites because of the varying peak periods of observed strong ground motions. The spectral properties of the observations also reflect the damage around the sites. Three-component microtremors were observed in the area; the predominant ground period distributions based on horizontal to vertical spectral ratios were provided by the authors. The peak periods of the strong motion records agree well with predominant periods estimated from microtremor observations at a rather hard site; however, the predominant periods of the microtremors are slightly shorter than those of the main shock at the other two soft sites. We checked the nonlinear effect at the sites by comparing the site responses to small events and the main shock. The peak periods of the main shock were longer than those of the weak motions at the sites. This phenomenon indicates a nonlinear site effect due to large ground motions caused by the main shock. A horizontal component of the accelerogram showed rather pulsating swings that indicate cyclic mobility behavior, especially at a site close to a pond shore; ground subsidence of ~20 cm was observed around the site. The peak periods of weak motions agree well with those of the microtremor observations. This implies an important issue that the predominant periods estimated by microtremors are not sufficient to estimate the effect of surface geology for disaster mitigation. We have to estimate the predominant periods under large ground motions considering the nonlinear site response of soft sediment sites
Competitive Pressure from Neighboring Markets and Optimal Privatization Policy
We formulate a mixed oligopoly model in which one state-owned public enterprise competes with n private firms in the same market
and m private firms in the neighboring market.
We investigate how n and m affect the optimal degree of privatization.
We find a nonmonotone (monotone) relationship between the optimal degree of privatization and the number of private competitors
in the neighboring (same) market.
The optimal degree of privatization is increasing in the number of private firms in the same market, and the relationship between the optimal degree of privatization and the number of private competitors in the neighboring market is an inverted U-shape.
An increase in m more likely increases the optimal degree of privatization when the degree of product differentiation is low.
Our results suggest that more competitive pressure from competitors supplying differentiated products can reduce the optimal degree of privatization
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