2013
DOI: 10.1088/0004-637x/767/1/25
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Hydrodynamical Simulations to Determine the Feeding Rate of Black Holes by the Tidal Disruption of Stars: The Importance of the Impact Parameter and Stellar Structure

Abstract: The disruption of stars by supermassive black holes has been linked to more than a dozen flares in the cores of galaxies out to redshift z ∼ 0.4. Modeling these flares properly requires a prediction of the rate of mass return to the black hole after a disruption. Through hydrodynamical simulation, we show that aside from the full disruption of a solar mass star at the exact limit where the star is destroyed, the common assumptions used to estimateṀ (t), the rate of mass return to the black hole, are largely in… Show more

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Cited by 509 publications
(609 citation statements)
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References 70 publications
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“…The peak luminosity is high, 10 44 erg s −1 , and the spectral energy distribution (SED) peaks at soft X-ray energies 0.1 keV. After peak, the luminosity fades as a power law in time similar to L∝t −5/3 , a dependence predicted for the fallback of disrupted stellar debris (Rees 1988;Evans & Kochanek 1989;Phinney 1989;Lodato et al 2009;Guillochon & Ramirez-Ruiz 2013).…”
Section: Introductionmentioning
confidence: 83%
“…The peak luminosity is high, 10 44 erg s −1 , and the spectral energy distribution (SED) peaks at soft X-ray energies 0.1 keV. After peak, the luminosity fades as a power law in time similar to L∝t −5/3 , a dependence predicted for the fallback of disrupted stellar debris (Rees 1988;Evans & Kochanek 1989;Phinney 1989;Lodato et al 2009;Guillochon & Ramirez-Ruiz 2013).…”
Section: Introductionmentioning
confidence: 83%
“…Because the fallback of matter onto a black hole following a disruption only follows the canonical −5/3 law for half of disruptions, and only several months after the peak fallback rate (Guillochon & Ramirez-Ruiz 2013), the fitting of tidal disruption light curves using a Monte Carlo approach is a far more robust procedure for constraining important temporal milestones for a given flare, such as the time of disruption and when the accretion rate crosses various thresholds such as the Eddington limit. TDEFit utilizes a maximum-likelihood analysis to determine the most likely combination of disruption parameters, with one of the products being an ensemble of accretion rates onto the SMBH as functions of time.…”
Section: Independent Modeling Of the Accretion Rate From X-ray/uv/optmentioning
confidence: 99%
“…On the main sequence, typically the star will be completely disrupted (e.g. Evans & Kochanek 1989, Guillochon & Ramirez-Ruiz 2013. Evolved stars, however, are only likely to be stripped into the hydrogen burning zone because of the huge jump in density at its base.…”
Section: Abundance Anomalies In Tdesmentioning
confidence: 99%