2022
DOI: 10.3390/dynamics2030015
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The Wind Dynamics of Super-Eddington Sources in FRADO

Abstract: We perform non-hydrodynamical 2.5D simulations to study the dynamics of material above accretion disk based on the disk radiation pressure acting on dust. We assume a super-accreting underlying disk with the accretion rate of 10 times the Eddington rate with central black hole mass ranging from 107 up to 109M⊙. Such high accretion rates are characteristic for extreme sources. We show that for high accretors the radiatively dust-driving mechanism based on the FRADO model always leads to a massive outflow from t… Show more

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Cited by 3 publications
(2 citation statements)
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“…We first analyze in detail the model with a black hole mass of 10 8 M ⊙ , solar metallicity, and the flow luminosity corresponding to the Eddington accretion rate. The outflow rate (as in Equation ( 1)) calculated in Naddaf et al [38] for these parameters gives 10 −4 Ṁaccr or 3 × 10 −2 Ṁaccr (where Ṁaccr is the accretion rate of the source) for optically thin or optically thick wind launching, which corresponds to 2 × 10 −4 M ⊙ yr −1 or 6 × 10 −2 M ⊙ yr −1 , respectively. The resolution of the computations gives us directly 866,664 clouds (total mass of 9.7 × 10 −4 M ⊙ for the column density and density of 10 24 cm −2 and 10 12 cm −3 , respectively).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…We first analyze in detail the model with a black hole mass of 10 8 M ⊙ , solar metallicity, and the flow luminosity corresponding to the Eddington accretion rate. The outflow rate (as in Equation ( 1)) calculated in Naddaf et al [38] for these parameters gives 10 −4 Ṁaccr or 3 × 10 −2 Ṁaccr (where Ṁaccr is the accretion rate of the source) for optically thin or optically thick wind launching, which corresponds to 2 × 10 −4 M ⊙ yr −1 or 6 × 10 −2 M ⊙ yr −1 , respectively. The resolution of the computations gives us directly 866,664 clouds (total mass of 9.7 × 10 −4 M ⊙ for the column density and density of 10 24 cm −2 and 10 12 cm −3 , respectively).…”
Section: Resultsmentioning
confidence: 99%
“…The range of densities is motivated by the most recent observational estimates (e.g., [35]), and by theoretical models of clumpiness based on radiation pressure confinement [36]. The normalization of the total number of clouds is now performed differently, rather following Naddaf and Czerny [37] and Naddaf et al [38], and we concentrate on solutions that show outflowing clouds supplementing the failed part of the wind. The number of clouds at each trajectory in the model itself represents the time spent in completing the path, but the cloud sampling density is arbitrary and each cloud in the computation has the meaning of the effective cloud.…”
Section: Cloud Parameters and The Outflow Net Fluxmentioning
confidence: 99%