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V. Belokurov

Publications and source records attributed to V. Belokurov.

133 records · Page 8Linked to original sources

The POINT-AGAPE survey II: An Unrestricted Search for Microlensing Events towards M31

An automated search is carried out for microlensing events using a catalogue of 44554 variable superpixel lightcurves derived from our three-year monitoring program of M31. Each step of our candidate selection is objective and reproducible by a computer. Our search is unrestricted, in the sense that it has no explicit timescale cut. So, it must overcome the awkward problem of distinguishing long-timescale microlensing events from long-period stellar variables. The basis of the selection algorithm is the fitting of the superpixel lightcurves to two different theoretical models, using variable star and blended microlensing templates. Only if microlensing is preferred is an event retained as a possible candidate. Further cuts are made with regard to (i) sampling, (ii) goodness of fit of the peak to a Paczynski curve, (iii) consistency of the microlensing hypothesis with the absence of a resolved source, (iv) achromaticity, (v) position in the colour-magnitude diagram and (vi) signal-to-noise ratio. Our results are reported in terms of first-level candidates, which are the most trustworthy, and second-level candidates, which are possible microlensing but have lower signal-to-noise and are more questionable. The pipeline leaves just 3 first-level candidates, all of which have very short full-width half-maximum timescale (<5 days) and 3 second-level candidates, which have timescales of 31, 36 and 51 days respectively. We also show 16 third-level lightcurves, as an illustration of the events that just fail the threshold for designation as microlensing candidates. They are almost certainly mainly variable stars. Two of the 3 first-level candidates correspond to known events (PA 00-S3 and PA 00-S4) already reported by the POINT-AGAPE project. The remaining first-level candidate is new.

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Lightcurve Classification in Massive Variability Surveys II: Transients towards the Large Magellanic Cloud

Automatic classification of variability is now possible with tools like neural networks. Here, we present two neural networks for the identification of microlensing events -- the first discriminates against variable stars and the second against supernovae. The inputs to the networks include parameters describing the shape and the size of the lightcurve, together with colour of the event. The network computes the posterior probability of microlensing, together with an estimate of the likely error. An algorithm is devised for direct calculation of the microlensing rate from the output of the neural networks. We present a new analysis of the microlensing candidates towards the Large Magellanic Cloud (LMC). The neural networks confirm the microlensing nature of only 7 of the possible 17 events identified by the MACHO experiment. This suggests that earlier estimates of the microlensing optical depth towards the LMC may have been overestimated. A smaller number of events is consistent with the assumption that all the microlensing events are caused by the known stellar populations in the outer Galaxy/LMC.

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Reconstructing images of gravitational lenses with regularizing algorithms

This note addresses possible applications of the Tikhonov regularization to image reconstruction of gravitational lens systems. Several modifications of the regularization algorithm are discussed. Our illustrative example is the close quadruple gravitational lens QSO 2237+0305 (Einstein Cross). The restored image of the lens is decomposed into two parts - the quasar components and the background galaxy.

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Supernovae with "Super-Hipparcos"

GAIA is the ``super-Hipparcos'' satellite scheduled for launch in 2010 by the European Space Agency. It is a scanning satellite that carries out multi-colour, multi-epoch photometry on all objects brighter than 20th magnitude. We conduct detailed simulations of supernovae (SNe) detection by GAIA. Supernovae of each type are chosen according to the observed distributions of absolute magnitudes, and located in nearby galaxies according to the local large-scale structure. Using an extinction model of the Galaxy and the scanning law of the GAIA satellite, we calculate how many SNe are detectable as a function of the phase of the lightcurve. Our study shows that GAIA will report data on 21400 SNe during the five-year mission lifetime, of which 14300 are SNe Ia, 1400 are SNe Ib/c and 5700 are SNe II. Using the simulations, we estimate that the numbers caught before maximum are 6300 SNe Ia, 500 SNe Ib/c and 1700 SNe II. GAIA will issue about 5 SNe alerts a day. The most distant SNe accessible to GAIA are at a redshift of 0.14 and so GAIA will provide a huge sample of local SNe. There will be many examples of the rarer subluminous events, over-luminous events, SNe Ib/c and SNe II-L. SNe rates will be found as a function of galaxy type, as well as extinction and position in the host galaxy. Amongst other applications, there may be about 26 SNe each year for which detection of gravitational waves is possible and about 180 SNe each year for which detection of gamma-rays is possible.

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Five Years at the Movies

GAIA is an astrometric satellite which has been approved by the European Space Agency for launch in about 2010. It will measure the angles between objects in fields that are separated on the sky by about a radian. Data will stream continuously at 1 Mbps from GAIA's three telescopes, providing information on the positions and velocities of the billion or more astrophysical objects brighter than 20th magnitude. The motion of objects across the sky caused by their space motion and their parallactic motion, and the variability of objects in 15 wavebands, will be measured because each object is observed at least 150 times during the 5 year mission lifetime. From the raw time series, a three-dimensional movie of the motions of stars in the Galaxy will be synthesized. The alert despatcher in the GAIA mission will provide forewarning of many kinds of bursting and variable phenomena. We discuss two applications of the GAIA movie show in detail here. First, the astrometric microlensing signal will allow us to take a complete inventory of all objects -- no matter how dark -- in the solar neighbourhood. Second, the catalogue of supernovae detections will be the largest ever taken. It will provide opportunities both for follow-ups in other wavebands and numerous examples of scarce phenomena (like subluminous SNe).

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Microlensing Maps for the Milky Way Galaxy

At any instant, there are roughly 1000 ongoing microlensing events to sources brighter than 20th magnitude in the Milky Way Galaxy. Large-scale maps of the microlensing optical depth and the mean timescale are constructed for a number of models of the Galactic bar and disk, incorporating the effects of streaming and spiral structure. Freudenreich's model can reproduce the high optical depths towards the Bulge. It is also in good agreement with the data towards the spiral arms (except for the gamma Norma field). Spiral structure tends to increase the optical depth by about 20% and the mean timescale by about 100%. Different bar morphologies give characteristically different shaped contours, especially at low Galactic latitudes (|b| < 2 degrees). These could be traced out with a K band microlensing survey, consuming about 100 minutes per night on a telescope like VISTA.

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