Iris

Roy, Frederick

doi:10.5005/jp/books/11535_12

Cited by 5 publications

(7 citation statements)

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“…The rate of Novae in the Milky Way is estimated to be ≈ 35 year −1 (Roy et al 2012). In order to calculate the maximum distance at which a nova could be detected, with a limiting flux density of 0.1 mJy, we assume that the typical radio luminosity it can reach in an outburst is ≈ 1.2 × 10 20 erg s −1 Hz −1 , that is, the average peak radio luminosity of novae in the sample.…”

Section: Novaementioning

confidence: 99%

On the use of variability time-scales as an early classifier of radio transients and variables

Pietka

Staley

Pretorius

et al. 2017

Monthly Notices of the Royal Astronomical Society

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We have shown previously that a broad correlation between the peak radio luminosity and the variability time-scales, approximately L ∝ τ 5 , exists for variable synchrotron emitting sources and that different classes of astrophysical source occupy different regions of luminosity and time-scale space. Based on those results, we investigate whether the most basic information available for a newly discovered radio variable or transient -their rise and/or decline rate -can be used to set initial constraints on the class of events from which they originate. We have analysed a sample of ≈ 800 synchrotron flares, selected from light-curves of ≈ 90 sources observed at 5-8 GHz, representing a wide range of astrophysical phenomena, from flare stars to supermassive black holes. Selection of outbursts from the noisy radio light-curves has been done automatically in order to ensure reproducibility of results. The distribution of rise/decline rates for the selected flares is modelled as a Gaussian probability distribution for each class of object, and further convolved with estimated areal density of that class in order to correct for the strong bias in our sample. We show in this way that comparing the measured variability time-scale of a radio transient/variable of unknown origin can provide an early, albeit approximate, classification of the object, and could form part of a suite of measurements used to provide early categorisation of such events. Finally, we also discuss the effect scintillating sources will have on our ability to classify events based on their variability time-scales.

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Section: Novaementioning

confidence: 99%

On the use of variability time-scales as an early classifier of radio transients and variables

Pietka

Staley

Pretorius

et al. 2017

Monthly Notices of the Royal Astronomical Society

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“…The radio emission of novae evolves over time scales of years, much longer than the optical bright phase [138]. The multifrequency radio curves of V1500 Cyg [68] are shown in Fig.…”

Section: Radio Observationsmentioning

confidence: 99%

“…4. The main mechanism is the thermal bremsstrahlung of the ejecta, that can be modelled by a spherical and isothermal shell of ionized gas with a power law density gradient [10] and is used to estimate the mass of the ejecta [138].…”

Section: Radio Observationsmentioning

confidence: 99%

Galactic and Extragalactic Novae – A Multiwavelenght Review

Poggiani¹

2021

Proceedings of the Golden Age of Cataclysmic Variables and Related Objects v — PoS(GOLDEN2019)

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“…The radio emission of novae spans a time interval of years, more extended than that related to the optical emission, of the order of months [121], [71]. The main mechanism of radio emission is the thermal bremsstrahlung of the ejecta, that in principle is a tracer of the ejected mass.…”

Section: Radio Studiesmentioning

confidence: 99%

Multifrequency Behaviour of Galactic and Extragalactic Novae

Poggiani¹

2018

Preprint

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Iris

Cited by 5 publications

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On the use of variability time-scales as an early classifier of radio transients and variables

On the use of variability time-scales as an early classifier of radio transients and variables

Galactic and Extragalactic Novae – A Multiwavelenght Review

Multifrequency Behaviour of Galactic and Extragalactic Novae

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