1,332 research outputs found
High-Temperature Processing of Solids Through Solar Nebular Bow Shocks: 3D Radiation Hydrodynamics Simulations with Particles
A fundamental, unsolved problem in Solar System formation is explaining the
melting and crystallization of chondrules found in chondritic meteorites.
Theoretical models of chondrule melting in nebular shocks has been shown to be
consistent with many aspects of thermal histories inferred for chondrules from
laboratory experiments; but, the mechanism driving these shocks is unknown.
Planetesimals and planetary embryos on eccentric orbits can produce bow shocks
as they move supersonically through the disk gas, and are one possible source
of chondrule-melting shocks. We investigate chondrule formation in bow shocks
around planetoids through 3D radiation hydrodynamics simulations. A new
radiation transport algorithm that combines elements of flux-limited diffusion
and Monte Carlo methods is used to capture the complexity of radiative
transport around bow shocks. An equation of state that includes the rotational,
vibrational, and dissociation modes of H is also used. Solids are followed
directly in the simulations and their thermal histories are recorded. Adiabatic
expansion creates rapid cooling of the gas, and tail shocks behind the embryo
can cause secondary heating events. Radiative transport is efficient, and bow
shocks around planetoids can have luminosities few
L. While barred and radial chondrule textures could be produced in
the radiative shocks explored here, porphyritic chondrules may only be possible
in the adiabatic limit. We present a series of predicted cooling curves that
merit investigation in laboratory experiments to determine whether the solids
produced by bow shocks are represented in the meteoritic record by chondrules
or other solids.Comment: Accepted for publication in ApJ. Images have been resized to conform
to arXiv limits, but are all readable upon adjusting the zoom. Changes from
v1: Corrected typos discovered in proofs. Most changes are in the appendi
Chemistry in a gravitationally unstable protoplanetary disc
Until now, axisymmetric, alpha-disc models have been adopted for calculations
of the chemical composition of protoplanetary discs. While this approach is
reasonable for many discs, it is not appropriate when self-gravity is
important. In this case, spiral waves and shocks cause temperature and density
variations that affect the chemistry. We have adopted a dynamical model of a
solar-mass star surrounded by a massive (0.39 Msun), self-gravitating disc,
similar to those that may be found around Class 0 and early Class I protostars,
in a study of disc chemistry. We find that for each of a number of species,
e.g. H2O, adsorption and desorption dominate the changes in the gas-phase
fractional abundance; because the desorption rates are very sensitive to
temperature, maps of the emissions from such species should reveal the
locations of shocks of varying strengths. The gas-phase fractional abundances
of some other species, e.g. CS, are also affected by gas-phase reactions,
particularly in warm shocked regions. We conclude that the dynamics of massive
discs have a strong impact on how they appear when imaged in the emission lines
of various molecular species.Comment: 10 figures and 3 tables, accepted for publication in MNRA
The collapse of protoplanetary clumps formed through disc instability: 3D simulations of the pre-dissociation phase
We present 3D smoothed particle hydrodynamics simulations of the collapse of
clumps formed through gravitational instability in the outer part of a
protoplanetary disc. The initial conditions are taken directly from a global
disc simulation, and a realistic equation of state is used to follow the clumps
as they contract over several orders of magnitude in density, approaching the
molecular hydrogen dissociation stage. The effects of clump rotation,
asymmetries, and radiative cooling are studied. Rotation provides support
against fast collapse, but non-axisymmetric modes develop and efficiently
transport angular momentum outward, forming a circumplanetary disc. This
transport helps the clump reach the dynamical collapse phase, resulting from
molecular hydrogen dissociation, on a thousand-year timescale, which is smaller
than timescales predicted by some previous spherical 1D collapse models.
Extrapolation to the threshold of the runaway hydrogen dissociation indicates
that the collapse timescales can be shorter than inward migration timescales,
suggesting that clumps could survive tidal disruption and deliver a proto-gas
giant to distances of even a few AU from the central star.Comment: Accepted for publication in MNRA
Learning Rules for Materials Properties and Functions
In materials science and engineering, one is typically searching for materials that exhibit exceptional performance for a certain function, and the number of these materials is extremely small. Thus, statistically speaking, we are interested in the identification of *rare phenomena*, and the scientific discovery typically resembles the proverbial hunt for the needle in a haystack
Learning what matters - Sampling interesting patterns
In the field of exploratory data mining, local structure in data can be
described by patterns and discovered by mining algorithms. Although many
solutions have been proposed to address the redundancy problems in pattern
mining, most of them either provide succinct pattern sets or take the interests
of the user into account-but not both. Consequently, the analyst has to invest
substantial effort in identifying those patterns that are relevant to her
specific interests and goals. To address this problem, we propose a novel
approach that combines pattern sampling with interactive data mining. In
particular, we introduce the LetSIP algorithm, which builds upon recent
advances in 1) weighted sampling in SAT and 2) learning to rank in interactive
pattern mining. Specifically, it exploits user feedback to directly learn the
parameters of the sampling distribution that represents the user's interests.
We compare the performance of the proposed algorithm to the state-of-the-art in
interactive pattern mining by emulating the interests of a user. The resulting
system allows efficient and interleaved learning and sampling, thus
user-specific anytime data exploration. Finally, LetSIP demonstrates favourable
trade-offs concerning both quality-diversity and exploitation-exploration when
compared to existing methods.Comment: PAKDD 2017, extended versio
Efficiently Discovering Locally Exceptional yet Globally Representative Subgroups
Subgroup discovery is a local pattern mining technique to find interpretable descriptions of sub-populations that stand out on a given target variable. That is, these sub-populations are exceptional with regard to the global distribution. In this paper we argue that in many applications, such as scientific discovery, subgroups are only useful if they are additionally representative of the global distribution with regard to a control variable. That is, when the distribution of this control variable is the same, or almost the same, as over the whole data. We formalise this objective function and give an efficient algorithm to compute its tight optimistic estimator for the case of a numeric target and a binary control variable. This enables us to use the branch-and-bound framework to efficiently discover the top- subgroups that are both exceptional as well as representative. Experimental evaluation on a wide range of datasets shows that with this algorithm we discover meaningful representative patterns and are up to orders of magnitude faster in terms of node evaluations as well as time
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Measuring Resident Perceptions of Economically Benefiting from Tourism
At the core of the resident attitudes literature is the general understanding that the more residents benefit financially from tourism, the more they tend to support it. While this relationship is a central tenet of the resident attitude literature, previous research has approached the measurement of resident perceptions of economically benefiting from tourism rather haphazardly using four disparate directions without a common reliable and valid scale. With this in mind, this study seeks to develop the Economic Benefit from Tourism Scale (EBTS). The scale’s development follows Churchill’s (1979) recommendations for scale development and uses three separate data collections across the United States of America and Poland to purify the scale and demonstrate its reliability and validity within an international context. Results from the confirmatory factor analyses confirm the EBTS’ international validity. Suggestions for how to include the scale within future data collections to strengthen Social Exchange Theory are presented
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