2,179 research outputs found
The Segregated Lambda-coalescent
We construct an extension of the Lambda-coalescent to a spatial continuum and
analyse its behaviour. Like the Lambda-coalescent, the individuals in our model
can be separated into (i) a dust component and (ii) large blocks of coalesced
individuals. We identify a five phase system, where our phases are defined
according to changes in the qualitative behaviour of the dust and large blocks.
We completely classify the phase behaviour, including necessary and sufficient
conditions for the model to come down from infinity.
We believe that two of our phases are new to Lambda-coalescent theory and
directly reflect the incorporation of space into our model. Firstly, our
semicritical phase sees a null but non-empty set of dust. In this phase the
dust becomes a random fractal, of a type which is closely related to iterated
function systems. Secondly, our model has a critical phase in which the
coalescent comes down from infinity gradually during a bounded, deterministic
time interval.Comment: Updated to accepted article - to appear in the Annals of Probability.
36 pages, 2 figure
Big Data in Critical Infrastructures Security Monitoring: Challenges and Opportunities
Critical Infrastructures (CIs), such as smart power grids, transport systems,
and financial infrastructures, are more and more vulnerable to cyber threats,
due to the adoption of commodity computing facilities. Despite the use of
several monitoring tools, recent attacks have proven that current defensive
mechanisms for CIs are not effective enough against most advanced threats. In
this paper we explore the idea of a framework leveraging multiple data sources
to improve protection capabilities of CIs. Challenges and opportunities are
discussed along three main research directions: i) use of distinct and
heterogeneous data sources, ii) monitoring with adaptive granularity, and iii)
attack modeling and runtime combination of multiple data analysis techniques.Comment: EDCC-2014, BIG4CIP-201
Multimessenger astronomy with pulsar timing and X-ray observations of massive black hole binaries
We demonstrate that very massive (>10^8\msun), cosmologically nearby (z<1)
black hole binaries (MBHBs), which are primary targets for ongoing and upcoming
pulsar timing arrays (PTAs), are particularly appealing multimessenger
carriers. According to current models for massive black hole formation and
evolution, the planned Square Kilometer Array (SKA) will collect gravitational
wave signals from thousands of such massive systems, being able to individually
resolve and locate in the sky several of them (maybe up to a hundred). By
employing a standard model for the evolution of MBHBs in circumbinary discs,
with the aid of dedicated numerical simulations, we characterize the gas-binary
interplay, identifying possible electromagnetic signatures of the PTA sources.
We concentrate our investigation on two particularly promising scenarios in the
high energy domain, namely, the detection of X-ray periodic variability and of
double broad K\alpha iron lines. Up to several hundreds of periodic X-ray
sources with a flux >10^-13 erg s^-1 cm^-2 will be in the reach of upcoming
X-ray observatories. Double relativistic K\alpha lines may be observable in a
handful of low redshift (z<0.3) sources by proposed deep X-ray probes, such as
Athena. (Abridged)Comment: 19 pages, 11 figures, submitted to MNRAS, minor revision of the
reference lis
Astrophysical science metrics for next-generation gravitational-wave detectors
The second generation of gravitational-wave detectors are being built and
tuned all over the world. The detection of signals from binary black holes is
beginning to fulfill the promise of gravitational-wave astronomy. In this work,
we examine several possible configurations for third-generation laser
interferometers in existing km-scale facilities. We propose a set of
astrophysically motivated metrics to evaluate detector performance. We measure
the impact of detector design choices against these metrics, providing a
quantitative cost-benefit analyses of the resulting scientific payoffs
Evolution of the double neutron star merging rate and the cosmological origin of gamma-ray burst sources
Evolution of the coalescence rate of double neutron stars (NS) and neutron
star -- black hole (BH) binaries are computed for model galaxies with different
star formation rates. Assuming gamma-ray bursts (GRB) to originate from NS+NS
or NS+BH merging in distant galaxies, theoretical logN--logS distributions and
tests of gamma-ray bursts (GRB) are calculated for the first time
taking the computed merging rates into account. We use a flat cosmological
model (Omega=1) with different values of the cosmological constant Lambda and
under various assumptions about the star formation history in galaxies. The
calculated source evolution predicts a 5-10 times increase of the source
statistics at count rates 3-10 times lower than the exising BATSE sensitivity
limit. The most important parameter in fitting the 2nd BATSE catalogue is the
initial redshift of star formation, which is found to be z_*=2-5 depending on a
poorly determined average spectral index of GRB.Comment: 13 pages, compressed uuencoded postscript, 6 figures. This paper has
been accepted for publication in the Astrophysical Journal part
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