Black hole winds and feedback

• Grant number: 19/10054-7
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: July 01, 2019
• End date: April 30, 2023
• Field of knowledge: Physical Sciences and Mathematics - Astronomy - Extragalactic Astrophysics
• Principal Investigator: Rodrigo Nemmen da Silva
• Grantee: Ivan Carlos de Almeida
• Host Institution: Instituto de Astronomia, Geofísica e Ciências Atmosféricas (IAG). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated research grant: 17/01461-2 - The extreme universe: black holes and the Fermi telescope, AP.JP

Abstract

The nature of outflows from Supermassive Black Holes (SMBHs) and their impact on the host galaxies are an unresolved question in Black Hole (BH) physics. In order to shed light upon this issue, this project aims at investigating in a self-consistent way the winds produced by SMBHs fed at low and high mass accretion rates. We will use the tools of global, multidimensional MHD simulations of accretion flows around SMBHs and quantify the resulting energy, mass and momentum outflow rates, velocity profiles and wind geometry, which will be compared against observations of ''red geysers'' in low-luminosity active galactic nuclei and ultra-fast outflows in quasars. With this work, we will be able to evaluate the feedback effects of BH winds inside the host galaxy, across a vast range of mass accretion rates. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

ALMEIDA, IVAN; NEMMEN, RODRIGO. Winds and feedback from supermassive black holes accreting at low rates: hydrodynamical treatment. Monthly Notices of the Royal Astronomical Society, v. 492, n. 2, p. 2553-2571, FEB 2020. (17/01461-2, 19/10054-7, 09/54006-4)

DE MENEZES, RANIERE; NEMMEN, RODRIGO; FINKE, JUSTIN D.; ALMEIDA, IVAN; RANI, BINDU. Gamma-ray observations of low-luminosity active galactic nuclei. Monthly Notices of the Royal Astronomical Society, v. 492, n. 3, p. 4120-4130, MAR 2020. (19/10054-7, 17/01461-2, 16/24857-6, 18/24801-6)

ALMEIDA, IVAN; DUARTE, ROBERTA; NEMMEN, RODRIGO. Deep learning Bayesian inference for low-luminosity active galactic nuclei spectra. Monthly Notices of the Royal Astronomical Society, v. 509, n. 4, p. 12-pg., 2022-02-01. (19/10054-7, 17/01461-2, 16/24857-6)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

ALMEIDA, Ivan Carlos de. Winds and Feedback from underfed supermassive black holes Ventos e feedback de buracos negros acretando a baixas taxas. 2023. Doctoral Thesis - Universidade de São Paulo (USP). Instituto Astronômico e Geofísico (IAG/SBD) São Paulo.