1,902 research outputs found
Testing the binary hypothesis: pulsar timing constraints on supermassive black hole binary candidates
The advent of time domain astronomy is revolutionizing our understanding of
the Universe. Programs such as the Catalina Real-time Transient Survey (CRTS)
or the Palomar Transient Factory (PTF) surveyed millions of objects for several
years, allowing variability studies on large statistical samples. The
inspection of 250k quasars in CRTS resulted in a catalogue of 111
potentially periodic sources, put forward as supermassive black hole binary
(SMBHB) candidates. A similar investigation on PTF data yielded 33 candidates
from a sample of 35k quasars. Working under the SMBHB hypothesis, we
compute the implied SMBHB merger rate and we use it to construct the expected
gravitational wave background (GWB) at nano-Hz frequencies, probed by pulsar
timing arrays (PTAs). After correcting for incompleteness and assuming virial
mass estimates, we find that the GWB implied by the CRTS sample exceeds the
current most stringent PTA upper limits by almost an order of magnitude. After
further correcting for the implicit bias in virial mass measurements, the
implied GWB drops significantly but is still in tension with the most stringent
PTA upper limits. Similar results hold for the PTF sample. Bayesian model
selection shows that the null hypothesis (whereby the candidates are false
positives) is preferred over the binary hypothesis at about and
for the CRTS and PTF samples respectively. Although not decisive,
our analysis highlights the potential of PTAs as astrophysical probes of
individual SMBHB candidates and indicates that the CRTS and PTF samples are
likely contaminated by several false positives.Comment: 14 pages, 11 figures, 3 tables. Resubmitted to the Astrophysical
Journal after some major revision of the results including a proper estimate
of the intrinsic mass of the binary candidate
Populations of grape phylloxera gallicoles on rootstock foliage in Hungary
Populations of gallicole grape phylloxera (Daktulosphaira vitifoliae FITCH) were monitored in Keszthely, Hungary from June through October 1998 on foliage of the Vitis berlandieri PLANCH. x V. riparia MICHX. rootstock cultivar Teleki 5 C. Though population size peaked in August, leaves from June through September were equally supportive of gallicole development and egg production. Demography varied with leaf position on shoots with the leaf in the terminal position having the most immature populations. Leaves 5 through 7 from the shoot terminal had highest population densities and the highest egg production. Population densities correlated with gall densities. Populations on the rootstock cultivar Rupestris du Lot and Vitis amurensis RUPR. were low but populations were high on the rootstock cultivars 101-14 MGT, T. K. 5 BB and Fercal. However, magnitude of phylloxera eggs/ adult on cultivars tested was not numerically distinguishable. High phylloxera population numbers were correlated with decreased vine productivity as measured by shoot growth
Measurement Accuracy of Inspiraling Eccentric Neutron Star and Black Hole Binaries Using Gravitational Waves
In a recent paper, we determined the measurement accuracy of physical
parameters for eccentric, precessing, non-spinning, inspiraling, stellar-mass
black hole - black hole (BH-BH) binaries for the upcoming second-generation
LIGO/VIRGO/KAGRA detector network at design sensitivity using the Fisher matrix
method. Here we extend that study to a wide range of binary masses including
neutron star - neutron star (NS-NS), NS-BH, and BH-BH binaries with BH masses
up to . The measurement error of eccentricity at a gravitational-wave (GW) frequency of is in the range
for NS-NS, NS-BH, and BH-BH
binaries at a luminosity distance of if .
For events with masses and distances similar to the detected 10 GW transients,
we show that nonzero orbital eccentricities may be detected if . Consequently, the LIGO/VIRGO/KAGRA detector network at design
sensitivity will have the capability to distinguish between eccentric waveforms
and circular waveforms. In comparison to circular inspirals, we find that the
chirp mass measurement precision can improve by up to a factor of and
for NS-NS and NS-BH binaries with BH companion masses , respectively. The identification of eccentric sources may
give information on their astrophysical origin; it would indicate merging
binaries in triple or higher multiplicity systems or dynamically formed
binaries in dense stellar systems such as globular clusters or galactic nuclei.Comment: 22 pages, 1 table, 12 figures, version accepted for publication in
Ap
Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic
We consider the problem of using a heuristic policy to improve the value
approximation by the Upper Confidence Bound applied in Trees (UCT) algorithm in
non-adversarial settings such as planning with large-state space Markov
Decision Processes. Current improvements to UCT focus on either changing the
action selection formula at the internal nodes or the rollout policy at the
leaf nodes of the search tree. In this work, we propose to add an auxiliary arm
to each of the internal nodes, and always use the heuristic policy to roll out
simulations at the auxiliary arms. The method aims to get fast convergence to
optimal values at states where the heuristic policy is optimal, while retaining
similar approximation as the original UCT in other states. We show that
bootstrapping with the proposed method in the new algorithm, UCT-Aux, performs
better compared to the original UCT algorithm and its variants in two benchmark
experiment settings. We also examine conditions under which UCT-Aux works well.Comment: 16 pages, accepted for presentation at ECML'1
On the toughness of thermoplastic polymer nanocomposites as assessed by the essential work of fracture (EWF) approach
The essential work of fracture (EWF) approach is widely used to determine the plane stress fracture toughness of highly ductile polymers and related systems. To shed light on how the toughness is affected by nanofillers EWF-suited model polymers, viz. amorphous copolyester and polypropylene block copolymer were modified by multiwall carbon nanotube (MWCNT), graphene (GR), boehmite alumina (BA), and organoclay (MMT) in 1 wt% each. EWF tests were performed on deeply double-edge notched tensile-loaded specimens under quasistatic loading conditions. Data reduction occurred by energy partitioning between yielding and necking/tearing. The EWF prerequisites were not met with the nanocomposites containing MWCNT and GR by contrast to those with MMT and BA. Accordingly, the toughness of nanocomposites with homogeneously dispersed and low aspect ratio fillers may be properly determined using the EWF. Results indicated that incorporation of nanofillers may result in an adverse effect between the specific essential and non-essential EWF parameters
Feature-Guided Black-Box Safety Testing of Deep Neural Networks
Despite the improved accuracy of deep neural networks, the discovery of
adversarial examples has raised serious safety concerns. Most existing
approaches for crafting adversarial examples necessitate some knowledge
(architecture, parameters, etc.) of the network at hand. In this paper, we
focus on image classifiers and propose a feature-guided black-box approach to
test the safety of deep neural networks that requires no such knowledge. Our
algorithm employs object detection techniques such as SIFT (Scale Invariant
Feature Transform) to extract features from an image. These features are
converted into a mutable saliency distribution, where high probability is
assigned to pixels that affect the composition of the image with respect to the
human visual system. We formulate the crafting of adversarial examples as a
two-player turn-based stochastic game, where the first player's objective is to
minimise the distance to an adversarial example by manipulating the features,
and the second player can be cooperative, adversarial, or random. We show that,
theoretically, the two-player game can con- verge to the optimal strategy, and
that the optimal strategy represents a globally minimal adversarial image. For
Lipschitz networks, we also identify conditions that provide safety guarantees
that no adversarial examples exist. Using Monte Carlo tree search we gradually
explore the game state space to search for adversarial examples. Our
experiments show that, despite the black-box setting, manipulations guided by a
perception-based saliency distribution are competitive with state-of-the-art
methods that rely on white-box saliency matrices or sophisticated optimization
procedures. Finally, we show how our method can be used to evaluate robustness
of neural networks in safety-critical applications such as traffic sign
recognition in self-driving cars.Comment: 35 pages, 5 tables, 23 figure
Distortion of Gravitational-Wave Packets Due to their Self-Gravity
When a source emits a gravity-wave (GW) pulse over a short period of time,
the leading edge of the GW signal is redshifted more than the inner boundary of
the pulse. The GW pulse is distorted by the gravitational effect of the
self-energy residing in between these shells. We illustrate this distortion for
GW pulses from the final plunge of black hole (BH) binaries, leading to the
evolution of the GW profile as a function of the radial distance from the
source. The distortion depends on the total GW energy released and the duration
of the emission, scaled by the total binary mass, M. The effect should be
relevant in finite box simulations where the waveforms are extracted within a
radius of <~ 100M. For characteristic emission parameters at the final plunge
between binary BHs of arbitrary spins, this effect could distort the simulated
GW templates for LIGO and LISA by a fraction of 0.001. Accounting for the wave
distortion would significantly decrease the waveform extraction errors in
numerical simulations.Comment: accepted for publication in Physical Review
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