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Optical variability of AGN in the PTF/iPTF survey

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arxiv 1611.03082 v1 pith:7CRJPHO3 submitted 2016-11-09 astro-ph.GA

classification astro-ph.GA
keywords variabilityanalysisblackdataopticalquasarsamplitudecurves
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abstract

We characterize the optical variability of quasars in the intermediate Palomar Transient Factory (iPTF) and Palomar Transient Factory (PTF) surveys. We re-calibrate the $r$-band light curves for $\sim$28,000 luminous, broad-line AGNs from the SDSS, producing a total of $\sim$2.4 million photometric data points. We utilize both the structure function (SF) and power spectrum density (PSD) formalisms to search for links between the optical variability and the physical parameters of the accreting supermassive black holes that power the quasars. The excess variance (SF$^{2}$) of the quasar sample tends to zero at very short time separations, validating our re-calibration of the time-series data. We find that the the amplitude of variability at a given time-interval, or equivalently the time-scale of variability to reach a certain amplitude, is most strongly correlated with luminosity with weak or no dependence on black hole mass and redshift. For a variability level of SF($\tau$)=0.07 mag, the time-scale has a dependency of $\tau \propto L^{0.4}$. This is broadly consistent with the expectation from a simple Keplerian accretion disk model, which provides $\tau \propto L^{0.5}$. The PSD analysis also reveals that many quasar light curves are steeper than a damped random walk. We find a correlation between the steepness of the PSD slopes, specifically the fraction of slopes steeper than 2.5, and black hole mass, although we cannot exclude the possibility that luminosity or Eddington ratio are the drivers of this effect. This effect is also seen in the SF analysis of the (i)PTF data, and in a PSD analysis of quasars in the SDSS Stripe 82.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A hierarchical Bayesian framework for cosmology using Type 1 AGN variability

    astro-ph.CO 2026-06 unverdicted novelty 7.0 of 10

    A hierarchical Bayesian framework that uses the empirical anti-correlation between AGN variability amplitude and luminosity to infer cosmological parameters from moderate-baseline light curves via importance reweighting.

  2. VAR-PZnn: A machine-learning framework for AGN photometric redshifts using color and variability-based features

    astro-ph.GA 2026-07 conditional novelty 6.0 of 10

    VAR-PZnn combines ZTF g-band variability features with optical, MIR and NIR photometry in a mixture-density network to estimate AGN photometric redshifts with σ_NMAD=0.058 and an 8.2% outlier fraction on a 72,728-sour...

  3. Continuum optical-UV and X-ray variability of AGN: current results and future challenges

    astro-ph.HE 2025-06 unverdicted novelty 1.0 of 10

    A comprehensive review of AGN continuum variability from optical/UV to X-rays, with no new data.

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