30 research outputs found
Nova Eruptions with Infrared Interferometric Observations
Infrared interferometric observations have a great deal of potential to
unravel the nature of the nova eruptions. We suggest that techniques, already
in place, to derive the ejection details at optical wavelengths be used with
infrared interferometric observations to derive parameters such as the ejected
mass in a nova eruption. This is achievable based on modelling the initial
phase of the eruption when the infrared light is dominated by the free-free
thermal process.Comment: To appear in the proceedings of "Physics of Evolved Stars 2015 - A
conference dedicated to the memory of Olivier Chesneau
The multifrequency behaviour of the recurrent nova RS Ophiuchi
This review concentrates on the multifrequency behaviour of RS Ophiuchi and
in particular during its latest outburst. Confirmation of the 1945 outburst,
bipolar outflows and its possible fate as a Type Ia Supernova are discussed.Comment: 5 pages, 5 figures, in The Golden Age of Cataclysmic Variables and
Related Objects, F. Giovannelli & L. Sabau-Graziati (eds.), Mem. SAIt. 83 N.2
(in press
Synchrotron emission from double-peaked radio light curves of the symbiotic recurrent nova V3890 Sagitarii
We present radio observations of the symbiotic recurrent nova V3890 Sagitarii
following the 2019 August eruption obtained with the MeerKAT radio telescope at
1.28 GHz and Karl G. Janksy Very Large Array (VLA) at 1.26 to 5 GHz. The radio
light curves span from day 1 to 540 days after eruption and are dominated by
synchrotron emission produced by the expanding nova ejecta interacting with the
dense wind from an evolved companion in the binary system. The radio emission
is detected early on (day 6) and increases rapidly to a peak on day 15. The
radio luminosity increases due to a decrease in the opacity of the
circumstellar material in front of the shocked material and fades as the
density of the surrounding medium decreases and the velocity of the shock
decelerates. Modelling the light curve provides an estimated mass-loss rate of
from the red giant star and ejecta mass in the range of from the surface of the white dwarf.
V3890 Sgr likely hosts a massive white dwarf similar to other symbiotic
recurrent novae, thus considered a candidate for supernovae type Ia (SNe Ia)
progenitor. However, its radio flux densities compared to upper limits for SNe
Ia have ruled it out as a progenitor for SN 2011fe
The structure of a recent nova shell as observed by ALMA
High resolution ALMA observations of the recent (2.52 yr old) shell of Nova V5668 Sgr (2015) show a highly structured ionized gas distribution with small (10^15 cm) clumps. These are the smallest structures ever observed in the remnant of a stellar thermonuclear explosion. No extended contiguous emission could be found above the 2.5σ level in our data, while the peak hydrogen densities in the clumps reach 10^6 cm^−3. The millimetre continuum image suggests that large scale structures previously distinguished in other recent nova shells may result from the distribution of bright unresolved condensations.publishe
Binary orbits as the driver of γ-ray emission and mass ejection in classical novae
Classical novae are the most common astrophysical thermonuclear explosions, occurring on the surfaces of white dwarf stars accreting gas from companions in binary star systems. Novae typically expel �10,000 solar masses of material at velocities exceeding 1,000 km/s. However, the mechanism of mass ejection in novae is poorly understood, and could be dominated by the impulsive flash of the thermonuclear runaway, prolonged optically thick winds, or binary interaction with the nova envelope. Classical novae are now routinely detected in GeV gamma-rays, suggesting that relativistic particles are accelerated by strong shocks in nova ejecta. Here we present high-resolution imaging of the gamma-ray-emitting nova V959 Mon at radio wavelengths, showing that its ejecta were shaped by binary motion: some gas was expelled rapidly along the poles as a wind from the white dwarf, while denser material drifted out along the equatorial plane, propelled by orbital motion. At the interface between the equatorial and polar regions, we observe synchrotron emission indicative of shocks and relativistic particle acceleration, thereby pinpointing the location of gamma-ray production. Binary shaping of the nova ejecta and associated internal shocks are expected to be widespread among novae, explaining why many novae are gamma-ray emitters
Convolutional neural networks for transient candidate vetting in large-scale surveys
Current synoptic sky surveys monitor large areas of the sky to find variable and transient astronomical sources. As the number of detections per night at a single telescope easily exceeds several thousand, current detection pipelines make intensive use of machine learning algorithms to classify the detected objects and to filter out the most interesting candidates. A number of upcoming surveys will produce up to three orders of magnitude more data, which renders high-precision classification systems essential to reduce the manual and, hence, expensive vetting by human experts. We present an approach based on convolutional neural networks to discriminate between true astrophysical sources and artefacts in reference-subtracted optical images. We show that relatively simple networks are already competitive with state-of-the-art systems and that their quality can further be improved via slightly deeper networks and additional pre-processing steps – eventually yielding models outperforming state-of-the-art systems. In particular, our best model correctly classifies about 97.3 per cent of all ‘real’ and 99.7 per cent of all ‘bogus’ instances on a test set containing 1942 ‘bogus’ and 227 ‘real’ instances in total. Furthermore, the networks considered in this work can also successfully classify these objects at hand without relying on difference images, which might pave the way for future detection pipelines not containing image subtraction steps at all
On the pulse--width statistics in radio pulsars. I. Importance of the interpulse emission
We performed Monte Carlo simulations of different properties of pulsar radio
emission, such as: pulsar periods, pulse-widths, inclination angles and rates
of occurrence of interpulse emission (IP). We used recently available large
data sets of the pulsar periods P, the pulse profile widths W and the magnetic
inclination angle alpha. We also compiled the largest ever database of pulsars
with interpulse emission, divided into the double-pole (DP-IP) and the
single-pole (SP-IP) cases. Their distribution on the P - Pdot diagram strongly
suggests a secular alignment of the magnetic axis from the originally random
orientation. We derived possible parent distribution functions of important
pulsar parameters by means of the Kolmogorov-Smirnov significance test using
the available data sets (P, W, alpha and IP), different models of pulsar radio
beam rho = rho(P) as well as different trial distribution functions of pulsar
period and the inclination angles. The best suited parent period distribution
function is the log-normal distribution, although the gamma function
distribution cannot be excluded. The strongest constraint on derived model
distribution functions was the requirement that the numbers of interpulses were
exactly (within 1sigma errors) at the observed level of occurrences. We found
that a suitable model distribution function for the inclination angle is the
complicated trigonometric function which has two local maxima, one near 0 deg
and the other near 90 deg. The former and the latter implies the right rates of
IP occurrence. It is very unlikely that the pulsar beam deviates significantly
from the circular cross-section. We found that the upper limit for the average
beaming factor fb describing a fraction of the full sphere (called also beaming
fraction) covered by a pulsar beam is about 10%. This implies that the number
of the neutron stars in the Galaxy might be underestimated.Comment: 35 pages, 18 figure