2014
DOI: 10.1051/0004-6361/201424776
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Imprints of the quasar structure in time-delay light curves: Microlensing-aided reverberation mapping

Abstract: Owing to the advent of large area photometric surveys, the possibility to use broad band photometric data, instead of spectra, to measure the size of the broad line region of active galactic nuclei, has raised a large interest. We describe here a new method using time-delay lensed quasars where one or several images are affected by microlensing due to stars in the lensing galaxy. Because microlensing decreases (or increases) the flux of the continuum compared to the broad line region, it changes the contrast b… Show more

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Cited by 20 publications
(30 citation statements)
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“…Regular and frequent observations, at least once every few days, are necessary so that the variability pattern of the background source can be observed in each of the multiple images and be matched up to obtain the time delays. Monitoring in the optical requires a long baseline or high photometric precision to overcome systematic variations due to microlensing by stars in the lensing galaxy that could be mistaken as the background source intrinsic variability (e.g., Tewes et al 2013b;Sluse & Tewes 2014). Curve-shifting methods have been developed to measure the time delays from the light curves (e.g., Press et al 1992;Pelt et al 1996;Fassnacht et al 2002;Harva & Raychaudhury 2008;Hirv et al 2011;Morgan et al 2008;Tewes et al 2013a;Hojjati et al 2013).…”
Section: Observational Requirements Of the Time-delay Methodsmentioning
confidence: 99%
“…Regular and frequent observations, at least once every few days, are necessary so that the variability pattern of the background source can be observed in each of the multiple images and be matched up to obtain the time delays. Monitoring in the optical requires a long baseline or high photometric precision to overcome systematic variations due to microlensing by stars in the lensing galaxy that could be mistaken as the background source intrinsic variability (e.g., Tewes et al 2013b;Sluse & Tewes 2014). Curve-shifting methods have been developed to measure the time delays from the light curves (e.g., Press et al 1992;Pelt et al 1996;Fassnacht et al 2002;Harva & Raychaudhury 2008;Hirv et al 2011;Morgan et al 2008;Tewes et al 2013a;Hojjati et al 2013).…”
Section: Observational Requirements Of the Time-delay Methodsmentioning
confidence: 99%
“…Continuum and broad emission features are all time variable as well as small enough to be differentially magnified by stars in the plane of the lens galaxy. This differential magnification by stars can affect not only the overall amplitude, but also the shapes of the continuum and broad emission, as bluer continuum light and higher velocity broad-line emission are emitted from systematically smaller regions which are therefore are more susceptible to microlensing (Abajas et al 2002;Keeton et al 2006;Anguita et al 2008;Mosquera & Kochanek 2011;Blackburne et al 2011;Sluse et al 2007Sluse et al , 2011Sluse et al , 2012Sluse & Tewes 2014;Blackburne et al 2014;Jiménez-Vicente et al 2014;Fian et al 2018;Bate et al 2018).…”
Section: [Oiii] Region Spectral Fittingmentioning
confidence: 99%
“…Apart from discussed statistical issues, microlensing is another concern in time delay estimation which can cause distortion in the light curves and hence systematic errors in time delay estimation (e.g. Tewes et al (2013a); Sluse & Tewes (2014)). In our analysis the light curves are compared in segments of data, considering that microlensing effect can be assumed as the linear distortion in different segments.…”
Section: Microlensing Issuementioning
confidence: 99%