2,417,857 research outputs found
Fast Rise of "Neptune-Size" Planets () from to days -- Statistics of Kepler Planet Candidates Up to
We infer the period () and size () distribution of Kepler transiting
planet candidates with and days hosted by
solar-type stars. The planet detection efficiency is computed by using measured
noise and the observed timespans of the light curves for Kepler
target stars. We focus on deriving the shape of planet period and radius
distribution functions. We find that for orbital period days, the planet
frequency d/dP for "Neptune-size" planets () increases with period as . In contrast,
d/dP for "super-Earth-size" () as well as
"Earth-size" () planets are consistent with a nearly flat
distribution as a function of period ( and , respectively), and the normalizations are remarkably similar
(within a factor of at days). Planet size distribution evolves
with period, and generally the relative fractions for big planets () increase with period. The shape of the distribution function is
not sensitive to changes in selection criteria of the sample. The implied
nearly flat or rising planet frequency at long period appears to be in tension
with the sharp decline at days in planet frequency for low mass
planets (planet mass ) recently suggested by HARPS
survey. Within days, the cumulative frequencies for Earth-size and
super-Earth-size planets are remarkably similar ( and ), while
Neptune-size and Jupiter-size planets are , and ,
respectively. A major potential uncertainty arises from the unphysical impact
parameter distribution of the candidates.Comment: Accepted by Ap
Grain refinement control in TIG arc welding
A method for controlling grain size and weld puddle agitation in a tungsten electrode inert gas welding system to produce fine, even grain size and distribution is disclosed. In the method the frequency of dc welding voltage pulses supplied to the welding electrode is varied over a preselected frequency range and the arc gas voltage is monitored. At some frequency in the preselected range the arc gas voltage will pass through a maximum. By maintaining the operating frequency of the system at this value, maximum weld puddle agitation and fine grain structure are produced
Effect of rotational disruption on the size-frequency distribution of the Main Belt asteroid population
The size distribution of small asteroids in the Main Belt is assumed to be
determined by an equilibrium between the creation of new bodies out of the
impact debris of larger asteroids and the destruction of small asteroids by
collisions with smaller projectiles. However, for a diameter less than 6 km we
find that YORP-induced rotational disruption significantly contributes to the
erosion even exceeding the effects of collisional fragmentation. Including this
additional grinding mechanism in a collision evolution model for the asteroid
belt, we generate size-frequency distributions from either an accretional
(Weidenschilling, 2011) or an "Asteroids were born big" (Morbidelli, 2009)
initial size-frequency distribution that are consistent with observations
reported in Gladman et al. (2009). Rotational disruption is a new mechanism
that must be included in all future collisional evolution models of asteroids.Comment: 5 pages, 3 figures, accepted in MNRAS letter
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Microcraters in aluminum foils exposed by Stardust
We will present preliminary results on the nature and size frequency distribution of microcraters that formed in aluminum foils during the flyby of comet Wild 2 by the Stardust spacecraft
Spatial modelling of claim frequency and claim size in insurance
In this paper models for claim frequency and claim size in non-life insurance are considered. Both covariates and spatial random e ects are included allowing the modelling of a spatial dependency pattern. We assume a Poisson model for the number of claims, while claim size is modelled using a Gamma distribution. However, in contrast to the usual compound Poisson model going back to Lundberg (1903), we allow for dependencies between claim size and claim frequency. Both models for the individual and average claim sizes of a policyholder are considered. A fully Bayesian approach is followed, parameters are estimated using Markov Chain Monte Carlo (MCMC). The issue of model comparison is thoroughly addressed. Besides the deviance information criterion suggested by Spiegelhalter et al. (2002), the predictive model choice criterion (Gelfand and Ghosh (1998)) and proper scoring rules (Gneiting and Raftery (2005)) based on the posterior predictive distribution are investigated. We give an application to a comprehensive data set from a German car insurance company. The inclusion of spatial e ects significantly improves the models for both claim frequency and claim size and also leads to more accurate predictions of the total claim sizes. Further we quantify the significant number of claims e ects on claim size
The frequency spectrum of finite samples from the intermittent silence process
It has been argued that the actual distribution of word frequencies could be reproduced or explained by generating a random sequence of letters and spaces according to the so-called intermittent silence process. The same kind of process could reproduce or explain the counts of other kinds of units from a wide range of disciplines. Taking the linguistic metaphor, we focus on the frequency spectrum, i.e., the number of words with a certain frequency, and the vocabulary size, i.e., the number of different words of text generated by an intermittent silence process. We derive and explain how to calculate accurately and efficiently the expected frequency spectrum and the expected vocabulary size as a function of the text size.Peer ReviewedPostprint (author's final draft
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