Modeling photometric reverberation mapping data for the next generation of big data surveys. Quasar accretion disks sizes with the LSST

Abstract:
        Abstract
        Photometric reverberation mapping can detect the radial extent of the accretion disc (AD) in Active Galactic Nuclei by measuring the time delays between light curves observed in different continuum bands. Quantifying the constraints on the efficiency and accuracy of the delay measurements is important for recovering the AD size-luminosity relation, and potentially using quasars as standard candles. We have explored the possibility of determining the AD size of quasars using next-generation Big Data surveys. We focus on the Legacy Survey of Space and Time (LSST) at the Vera C. Rubin Observatory, which will observe several thousand quasars with the Deep Drilling Fields and up to 10 million quasars for the main survey in six broadband filter during its 10-year operational lifetime. We have developed extensive simulations that take into account the characteristics of the LSST survey and the intrinsic properties of the quasars. The simulations are used to characterise the light curves from which AD sizes are determined using various algorithms. We find that the time delays can be recovered with an accuracy of 5 and 15% for light curves with a time sampling of 2 and 5 days, respectively. The results depend strongly on the redshift of the source and the relative contribution of the emission lines to the bandpasses. Assuming an optically thick and geometrically thin AD, the recovered time-delay spectrum is consistent with black hole masses derived with 30% uncertainty.

SEEK ID: https://publications.h-its.org/publications/1630

DOI: 10.1093/mnras/stad286

Research Groups: Astroinformatics

Publication type: Journal

Journal: Monthly Notices of the Royal Astronomical Society

Citation: Monthly Notices of the Royal Astronomical Society,stad286

Date Published: 6th Feb 2023

Registered Mode: by DOI

Authors: F Pozo Nuñez, C Bruckmann, S Desamutara, B Czerny, S Panda, A P Lobban, G Pietrzyński, K L Polsterer

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Citation
Pozo Nuñez, F., Bruckmann, C., Deesamutara, S., Czerny, B., Panda, S., Lobban, A. P., Pietrzyński, G., & Polsterer, K. L. (2023). Modelling photometric reverberation mapping data for the next generation of big data surveys. Quasar accretion discs sizes with the LSST. In Monthly Notices of the Royal Astronomical Society (Vol. 522, Issue 2, pp. 2002–2018). Oxford University Press (OUP). https://doi.org/10.1093/mnras/stad286
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Created: 21st Feb 2023 at 07:25

Last updated: 5th Mar 2024 at 21:25

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