5,809 research outputs found
A Fast Parameterized Algorithm for Co-Path Set
The k-CO-PATH SET problem asks, given a graph G and a positive integer k,
whether one can delete k edges from G so that the remainder is a collection of
disjoint paths. We give a linear-time fpt algorithm with complexity
O^*(1.588^k) for deciding k-CO-PATH SET, significantly improving the previously
best known O^*(2.17^k) of Feng, Zhou, and Wang (2015). Our main tool is a new
O^*(4^{tw(G)}) algorithm for CO-PATH SET using the Cut&Count framework, where
tw(G) denotes treewidth. In general graphs, we combine this with a branching
algorithm which refines a 6k-kernel into reduced instances, which we prove have
bounded treewidth
Cosmic structure formation in Hybrid Inflation models
A wide class of inflationary models, known as Hybrid Inflation models, may
produce topological defects during a phase transition at the end of the
inflationary epoch. We point out that, if the energy scale of these defects is
close to that of Grand Unification, then their effect on cosmic structure
formation and the generation of microwave background anisotropies cannot be
ignored. Therefore, it is possible for structure to be seeded by a combination
of the adiabatic perturbations produced during inflation and active
isocurvature perturbations produced by defects. Since the two mechanisms are
uncorrelated the power spectra can be computed by a weighted average of the
individual contributions. We investigate the possible observational
consequences of this with reference to general Hybrid Inflation models and also
a specific model based on Supergravity. These mixed perturbation scenarios have
some novel observational consequences and these are discussed qualitatively.Comment: 22 Page
Towards models of gravitational waveforms from generic binaries: A simple approximate mapping between precessing and non-precessing inspiral signals
One of the greatest theoretical challenges in the build-up to the era of
second-generation gravitational-wave detectors is the modeling of generic
binary waveforms. We introduce an approximation that has the potential to
significantly simplify this problem. We show that generic precessing-binary
inspiral waveforms (covering a seven-dimensional space of intrinsic parameters)
can be mapped to a two-dimensional space of non-precessing binaries,
characterized by the mass ratio and a single effective total spin. The mapping
consists of a time-dependent rotation of the waveforms into the
quadrupole-aligned frame, and is extremely accurate (matches with
parameter biases in the total spin of ), even in the
case of transitional precession. In addition, we demonstrate a simple method to
construct hybrid post-Newtonian--numerical-relativity precessing-binary
waveforms in the quadrupole-aligned frame, and provide evidence that our
approximate mapping can be used all the way to the merger. Finally, based on
these results, we outline a general proposal for the construction of generic
waveform models, which will be the focus of future work.Comment: 16 pages, 11 figures, 2 tables; replaced to match published version;
journal ref. adde
The Cosmic Microwave Background and Particle Physics
In forthcoming years, connections between cosmology and particle physics will
be made increasingly important with the advent of a new generation of cosmic
microwave background (CMB) experiments. Here, we review a number of these
links. Our primary focus is on new CMB tests of inflation. We explain how the
inflationary predictions for the geometry of the Universe and primordial
density perturbations will be tested by CMB temperature fluctuations, and how
the gravitational waves predicted by inflation can be pursued with the CMB
polarization. The CMB signatures of topological defects and primordial magnetic
fields from cosmological phase transitions are also discussed. Furthermore, we
review current and future CMB constraints on various types of dark matter (e.g.
massive neutrinos, weakly interacting massive particles, axions, vacuum
energy), decaying particles, the baryon asymmetry of the Universe,
ultra-high-energy cosmic rays, exotic cosmological topologies, and other new
physics.Comment: 43 pages. To appear in Annual Reviews of Nuclear and Particle Scienc
A Bayesian Approach to the Detection Problem in Gravitational Wave Astronomy
The analysis of data from gravitational wave detectors can be divided into
three phases: search, characterization, and evaluation. The evaluation of the
detection - determining whether a candidate event is astrophysical in origin or
some artifact created by instrument noise - is a crucial step in the analysis.
The on-going analyses of data from ground based detectors employ a frequentist
approach to the detection problem. A detection statistic is chosen, for which
background levels and detection efficiencies are estimated from Monte Carlo
studies. This approach frames the detection problem in terms of an infinite
collection of trials, with the actual measurement corresponding to some
realization of this hypothetical set. Here we explore an alternative, Bayesian
approach to the detection problem, that considers prior information and the
actual data in hand. Our particular focus is on the computational techniques
used to implement the Bayesian analysis. We find that the Parallel Tempered
Markov Chain Monte Carlo (PTMCMC) algorithm is able to address all three phases
of the anaylsis in a coherent framework. The signals are found by locating the
posterior modes, the model parameters are characterized by mapping out the
joint posterior distribution, and finally, the model evidence is computed by
thermodynamic integration. As a demonstration, we consider the detection
problem of selecting between models describing the data as instrument noise, or
instrument noise plus the signal from a single compact galactic binary. The
evidence ratios, or Bayes factors, computed by the PTMCMC algorithm are found
to be in close agreement with those computed using a Reversible Jump Markov
Chain Monte Carlo algorithm.Comment: 19 pages, 12 figures, revised to address referee's comment
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