2011
DOI: 10.1051/0004-6361/201117467
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The optical variability of steep-spectrum radio quasars in the SDSS stripe 82 region

Abstract: Context. There have been many investigations of the optical variability of flat-spectrum radio quasars (FSRQs), but the optical variability of steep-spectrum radio quasars (SSRQs) has been poorly studied. Aims. We investigate the optical variability of SSRQs, comparing this with the optical variability of FSRQs. Methods. We measure the optical variability of 18 SSRQs and 15 FSRQs in the SDSS Stripe 82 region using SDSS DR7 released multi-epoch data covering about nine years. We determine the spectral index by … Show more

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Cited by 14 publications
(11 citation statements)
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“…Gu et al 2006;Hu et al 2006). However, Gu & Ai (2011) found this color behavior for only one object in a sample of 29…”
Section: Color Behaviormentioning
confidence: 92%
“…Gu et al 2006;Hu et al 2006). However, Gu & Ai (2011) found this color behavior for only one object in a sample of 29…”
Section: Color Behaviormentioning
confidence: 92%
“…The mechanism of BWB was simulated and attributed to the difference of the amplitudes and cadences at different wavelengths (Dai et al 2011). For FSRQs, both BWB and redder-when-brighter trend can be found, and it is hard to conclude which dominates (Gu & Ai 2011;Gu et al 2006;Hu et al 2006).…”
Section: Color Behavior and Spectral Hysteresismentioning
confidence: 99%
“…Our sample of eighteen SSRQs consists of five SSRQs in Gu & Ai (2011a) and thirteen SSRQs in Gu & Ai (2011b). The initial quasar sample was selected as those quasars in both the SDSS DR7 quasar catalog (Schneider et al 2010) (u, g, r, i, z) magnitudes have typical errors of about 0.03 mag.…”
Section: Samplementioning
confidence: 99%
“…We define a quasar to be an SSRQ according to its radio spectral index α r > 0.5. Finally, five SSRQs with single FIRST counterpart to within 1 arcmin of the SDSS positions were presented in Gu & Ai (2011a), while thirteen SSRQs with multiple FIRST counterparts were listed in Gu & Ai (2011b). To have the radio spectral information, we decided to consider only the sources with a radio counterpart in both 1.4 and 4.85 GHz radio images.…”
Section: Samplementioning
confidence: 99%
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