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result(s) for
"Dubus, G."
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Strong disk winds traced throughout outbursts in black-hole X-ray binaries
by
Tetarenko, B. E.
,
Sivakoff, G. R.
,
Dubus, G.
in
639/33/34/864
,
639/766/34/864
,
Accretion disks
2018
Analysis of the light curves of outbursts in black-hole X-ray binaries suggests that throughout the accretion process mass is lost from the accretion disks through strong, magnetically driven disk winds.
Windy disks
Black holes, neutron stars and white dwarfs in close binary systems where mass is flowing from the companion onto the compact object have recurring outbursts that could illuminate the poorly understood accretion process. Bailey Tetarenko and colleagues have analysed 21 archival X-ray outbursts from black-hole X-ray binaries. They conclude that either there is a large rate of angular-momentum transport in the accretion disk, helped by a large-scale magnetic field that permeates the disk, or mass is being lost from the disk in outflows that control the X-ray outburst.
Recurring outbursts associated with matter flowing onto compact stellar remnants (such as black holes, neutron stars and white dwarfs) in close binary systems provide a way of constraining the poorly understood accretion process. The light curves of these outbursts are shaped by the efficiency of angular-momentum (and thus mass) transport in the accretion disks, which has traditionally been encoded in a viscosity parameter,
α
. Numerical simulations
1
,
2
,
3
of the magneto-rotational instability that is believed to be the physical mechanism behind this transport yield values of
α
of roughly 0.1–0.2, consistent with values determined from observations of accreting white dwarfs
4
. Equivalent viscosity parameters have hitherto not been estimated for disks around neutron stars or black holes. Here we report the results of an analysis of archival X-ray light curves of 21 outbursts in black-hole X-ray binaries. By applying a Bayesian approach to a model of accretion, we determine corresponding values of
α
of around 0.2–1.0. These high values may be interpreted as an indication either of a very high intrinsic rate of angular-momentum transport in the disk, which could be sustained by the magneto-rotational instability only if a large-scale magnetic field threads the disk
5
,
6
,
7
, or that mass is being lost from the disk through substantial outflows, which strongly shape the outburst in the black-hole X-ray binary. The lack of correlation between our estimates of
α
and the accretion state of the binaries implies that such outflows can remove a substantial fraction of the disk mass in all accretion states and therefore suggests that the outflows correspond to magnetically driven disk winds rather than thermally driven ones, which require specific radiative conditions
8
.
Journal Article
Sensitivity and first-step uncertainty analyses for the preferential flow model MACRO
2002
Sensitivity analyses for the preferential flow model MACRO were carried out using one-at-a-time and Monte Carlo sampling approaches. Four different scenarios were generated by simulating leaching to depth of two hypothetical pesticides in a sandy loam and a more structured clay loam soil. Sensitivity of the model was assessed using the predictions for accumulated water percolated at a 1-m depth and accumulated pesticide losses in percolation. Results for simulated percolation were similar for the two soils. Predictions of water volumes percolated were found to be only marginally affected by changes in input parameters and the most influential parameter was the water content defining the boundary between micropores and macropores in this dual-porosity model. In contrast, predictions of pesticide losses were found to be dependent on the scenarios considered and to be significantly affected by variations in input parameters. In most scenarios, predictions for pesticide losses by MACRO were most influenced by parameters related to sorption and degradation. Under specific circumstances, pesticide losses can be largely affected by changes in hydrological properties of the soil. Since parameters were varied within ranges that approximated their uncertainty, a first-step assessment of uncertainty for the predictions of pesticide losses was possible. Large uncertainties in the predictions were reported, although these are likely to have been overestimated by considering a large number of input parameters in the exercise. It appears desirable that a probabilistic framework accounting for uncertainty is integrated into the estimation of pesticide exposure for regulatory purposes.
Journal Article
Acceleration of petaelectronvolt protons in the Galactic Centre
2016
Deep γ-ray observations of the Galactic Centre with arcminute angular resolution show traces of petaelectronvolt protons within the central ten parsecs of our Galaxy; the accelerator of these particles could have provided a substantial contribution to Galactic cosmic rays in the past.
Particle acceleration at the Galactic Centre
This paper from the HESS (High Energy Stereoscopic System) Collaboration presents deep γ-ray observations with arcminute angular resolution of the Galactic Centre regions, which show the tracer of the presence of particles accelerated to energies of at least a few petaelectronvolts (1 PeV = 10
15
electronvolts) within the central 10 parsecs of our Galaxy. This is consistent with previous observations of PeV Galactic cosmic rays and requires the presence of a source capable of accelerating particles to such extreme energies. The authors argue that the source is the supermassive black hole Sagittarius A*. Although the current rate of particle acceleration due to Sagittarius A* is not sufficient to provide a substantial contribution to Galactic cosmic rays, it could have plausibly been more active in the past.
Galactic cosmic rays reach energies of at least a few petaelectronvolts
1
(of the order of 10
15
electronvolts). This implies that our Galaxy contains petaelectronvolt accelerators (‘PeVatrons’), but all proposed models of Galactic cosmic-ray accelerators encounter difficulties at exactly these energies
2
. Dozens of Galactic accelerators capable of accelerating particles to energies of tens of teraelectronvolts (of the order of 10
13
electronvolts) were inferred from recent γ-ray observations
3
. However, none of the currently known accelerators—not even the handful of shell-type supernova remnants commonly believed to supply most Galactic cosmic rays—has shown the characteristic tracers of petaelectronvolt particles, namely, power-law spectra of γ-rays extending without a cut-off or a spectral break to tens of teraelectronvolts
4
. Here we report deep γ-ray observations with arcminute angular resolution of the region surrounding the Galactic Centre, which show the expected tracer of the presence of petaelectronvolt protons within the central 10 parsecs of the Galaxy. We propose that the supermassive black hole Sagittarius A* is linked to this PeVatron. Sagittarius A* went through active phases in the past, as demonstrated by X-ray outbursts
5
and an outflow from the Galactic Centre
6
. Although its current rate of particle acceleration is not sufficient to provide a substantial contribution to Galactic cosmic rays, Sagittarius A* could have plausibly been more active over the last 10
6
–10
7
years, and therefore should be considered as a viable alternative to supernova remnants as a source of petaelectronvolt Galactic cosmic rays.
Journal Article
Simulation of Pesticide Persistence in the Field on the Basis of Laboratory Data—A Review
by
Dubus, Igor G.
,
Beulke, Sabine
,
Brown, Colin D.
in
degradation
,
environmental fate
,
Pesticides
2000
Simulations of pesticide fate in soils are often based on persistence models developed nearly 30 years ago. These models predict dissipation in the field on a daily basis by correcting laboratory degradation half‐lives for actual soil temperature and moisture content. They have been extensively applied, but to date no attempt has been made to evaluate existing studies in a consistent, quantitative way. This paper reviews 178 studies comparing pesticide soil residues measured in the field with those simulated by persistence models. The simulated percentage of initial pesticide concentration at the time of 50% measured loss was taken as a common criterion for model performance. The models showed an overall tendency to overestimate persistence. Simulated values ranged from 12 to 96% of initial pesticide concentrations with a median of 60%. Simulated soil residues overestimated the target value (50% of initial) by more than a factor of 1.25 in 44% of the cases. An underestimation by more than a factor of 1.25 was found in only 17% of the experiments. Discrepancies between simulated and observed data are attributed to difficulties in characterizing pesticide behavior under outdoor conditions using laboratory studies. These arise because of differences in soil conditions between the laboratory and the field and the spatial and temporal variability of degradation. Other possible causes include losses in the field by processes other than degradation, deviations of degradation from first‐order kinetics, discrepancies between simulated and actual soil temperature and moisture content, and the lack of soil‐specific degradation parameters. Implications for modeling of pesticide behavior within regulatory risk assessments are discussed.
Journal Article
User subjectivity in Monte Carlo modeling of pesticide exposure
by
Dubus, Igor G.
,
Beulke, Sabine
,
Schaefer, Dieter
in
Animal, plant and microbial ecology
,
Applied ecology
,
Biological and medical sciences
2006
Monte Carlo techniques are increasingly used in pesticide exposure modeling to evaluate the uncertainty in predictions arising from uncertainty in input parameters and to estimate the confidence that should be assigned to the modeling results. The approach typically involves running a deterministic model repeatedly for a large number of input values sampled from statistical distributions. In the present study, six modelers made choices regarding the type and parameterization of distributions assigned to degradation and sorption data for an example pesticide, the correlation between the parameters, the tool and method used for sampling, and the number of samples generated. A leaching assessment was carried out using a single model and scenario and all data for sorption and degradation generated by the six modelers. The distributions of sampled parameters differed between the modelers, and the agreement with the measured data was variable. Large differences were found between the upper percentiles of simulated concentrations in leachate. The probability of exceeding 0.1 μg/L ranged from 0 to 35.7%. The present study demonstrated that subjective choices made in Monte Carlo modeling introduce variability into probabilistic modeling and that the results need to be interpreted with care.
Journal Article
Gamma-Ray Emission Concurrent with the Nova in the Symbiotic Binary V407 Cygni
by
Bonamente, E.
,
de Palma, F.
,
Giordano, F.
in
Acceleration
,
ambient air
,
Astronomical observations
2010
Novae are thermonuclear explosions on a white dwarf surface fueled by mass accreted from a companion star. Current physical models posit that shocked expanding gas from the nova shell can produce x-ray emission, but emission at higher energies has not been widely expected. Here, we report the Fermi Large Area Telescope detection of variable γ-ray emission (0.1 to 10 billion electron volts) from the recently detected optical nova of the symbiotic star V407 Cygni. We propose that the material of the nova shell interacts with the dense ambient medium of the red giant primary and that particles can be accelerated effectively to produce π° decay γ-rays from proton-proton interactions. Emission involving inverse Compton scattering of the red giant radiation is also considered and is not ruled out.
Journal Article