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91探花
Black Hole

Lensing of space time around a black hole. At 91探花 we study black holes observationally and theoretically on all size and time scales - it is some of our core work.

Credit: ALAIN RIAZUELO, IAP/UPMC/CNRS. CLICK HERE TO VIEW MORE IMAGES.

Dr Thomas Williams

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Research theme

  • Astronomy and astrophysics

Sub department

  • Astrophysics

Research groups

  • Galaxy formation and evolution
thomas.williams@physics.ox.ac.uk
  • About
  • Publications

PHANGS: constraining star formation time-scales using the spatial correlations of star clusters and giant molecular clouds

Monthly Notices of the Royal Astronomical Society 516:3 (2022) 4612-4626

Authors:

JA Turner, DA Dale, J Lilly, M Boquien, S Deger, JC Lee, BC Whitmore, GS Anand, SM Benincasa, F Bigiel, GA Blanc, M Chevance, E Emsellem, CM Faesi, SCO Glover, K Grasha, A Hughes, RS Klessen, K Kreckel, JM Diederik Kruijssen, AK Leroy, HA Pan, E Rosolowsky, A Schruba, TG Williams

Abstract:

In the hierarchical view of star formation, giant molecular clouds (GMCs) undergo fragmentation to form small-scale structures made up of stars and star clusters. Here we study the connection between young star clusters and cold gas across a range of extragalactic environments by combining the high resolution (1鈥) PHANGS-ALMA catalogue of GMCs with the star cluster catalogues from PHANGS-HST. The star clusters are spatially matched with the GMCs across a sample of 11 nearby star-forming galaxies with a range of galactic environments (centres, bars, spiral arms, etc.). We find that after 4 - 6 Myr the star clusters are no longer associated with any gas clouds. Additionally, we measure the autocorrelation of the star clusters and GMCs as well as their cross-correlation to quantify the fractal nature of hierarchical star formation. Young (鈮10 Myr) star clusters are more strongly autocorrelated on kpc and smaller spatial scales than the >, 10 Myr stellar populations, indicating that the hierarchical structure dissolves over time.

Environmental dependence of the molecular cloud lifecycle in 54 main-sequence galaxies

Monthly Notices of the Royal Astronomical Society 516:2 (2022) 3006-3028

Authors:

J Kim, M Chevance, JM Diederik Kruijssen, AK Leroy, A Schruba, AT Barnes, F Bigiel, GA Blanc, Y Cao, E Congiu, DA Dale, CM Faesi, SCO Glover, K Grasha, B Groves, A Hughes, RS Klessen, K Kreckel, R McElroy, HA Pan, J Pety, M Querejeta, A Razza, E Rosolowsky, T Saito, E Schinnerer, J Sun, N Tomi膷i膰, A Usero, TG Williams

Abstract:

The processes of star formation and feedback, regulating the cycle of matter between gas and stars on the scales of giant molecular clouds (GMCs; 鈭100 pc), play a major role in governing galaxy evolution. Measuring the time-scales of GMC evolution is important to identify and characterize the specific physical mechanisms that drive this transition. By applying a robust statistical method to high-resolution CO and narrow-band H 伪 imaging from the PHANGS survey, we systematically measure the evolutionary timeline from molecular clouds to exposed young stellar regions on GMC scales, across the discs of an unprecedented sample of 54 star-forming main-sequence galaxies (excluding their unresolved centres). We find that clouds live for about 1-3 GMC turbulence crossing times (5-30 Myr) and are efficiently dispersed by stellar feedback within 1-5 Myr once the star-forming region becomes partially exposed, resulting in integrated star formation efficiencies of 1-8 per cent. These ranges reflect physical galaxy-To-galaxy variation. In order to evaluate whether galactic environment influences GMC evolution, we correlate our measurements with average properties of the GMCs and their local galactic environment. We find several strong correlations that can be physically understood, revealing a quantitative link between galactic-scale environmental properties and the small-scale GMC evolution. Notably, the measured CO-visible cloud lifetimes become shorter with decreasing galaxy mass, mostly due to the increasing presence of CO-dark molecular gas in such environment. Our results represent a first step towards a comprehensive picture of cloud assembly and dispersal, which requires further extension and refinement with tracers of the atomic gas, dust, and deeply embedded stars.

WISDOM Project -- XIII. Feeding molecular gas to the supermassive black hole in the starburst AGN-host galaxy Fairall 49

Monthly Notices of the Royal Astronomical Society 91探花 University Press 516:3 (2022) 4066-4083

Authors:

Federico Lelli, Timothy A Davis, Martin Bureau, Michele Cappellari, Lijie Liu, Ilaria Ruffa, Mark D Smith, Thomas G Williams

Abstract:

The mm-Wave Interferometric Survey of Dark Object Masses (WISDOM) is probing supermassive black holes (SMBHs) in galaxies across the Hubble sequence via molecular gas dynamics. We present the first WISDOM study of a luminous infrared galaxy with an active galactic nuclei (AGN): Fairall 49. We use new ALMA observations of the CO(2-1) line with a spatial resolution of about 80 pc together with ancillary HST imaging. We reach the following results: (1) The CO kinematics are well described by a regularly rotating gas disk with a radial inflow motion, suggesting weak feedback on the cold gas from both AGN and starburst activity; (2) The dynamically inferred SMBH mass is 1.6 +/- 0.4 (rnd) +/- 0.8 (sys) x 10^8 Msun, assuming that we have accurately subtracted the AGN and starburst light contributions, which have a luminosity of about 10^9 Lsun; (3) The SMBH mass agrees with the SMBH-stellar mass relation but is about 50 times higher than previous estimates from X-ray variability; (4) The dynamically inferred molecular gas mass is 30 times smaller than that inferred from adopting the Galactic CO-to-H_2 conversion factor (X_CO) for thermalised gas, suggesting low values of X_CO; (5) the molecular gas inflow rate increases steadily with radius and may be as high as 5 Msun/yr. This work highlights the potential of using high-resolution CO data to estimate, in addition to SMBH masses, the X_CO factor and gas inflow rates in nearby galaxies.

WISDOM Project 鈥 XIII. Feeding molecular gas to the supermassive black hole in the starburst AGN-host galaxy Fairall 49

Monthly Notices of the Royal Astronomical Society 91探花 University Press (OUP) 516:3 (2022) 4066-4083

Authors:

Federico Lelli, Timothy A Davis, Martin Bureau, Michele Cappellari, Lijie Liu, Ilaria Ruffa, Mark D Smith, Thomas G Williams

Abstract:

<jats:title>ABSTRACT</jats:title> <jats:p>The mm-Wave Interferometric Survey of Dark Object Masses (WISDOM) is probing supermassive black holes (SMBHs) in galaxies across the Hubble sequence via molecular gas dynamics. We present the first WISDOM study of a luminous infrared galaxy with an active galactic nuclei (AGNs): Fairall鈥49. We use new ALMA observations of the CO(2聽鈭捖1) line with a spatial resolution of 鈭80聽pc together with ancillary HST imaging. We reach the following results: (1) The CO kinematics are well described by a regularly rotating gas disc with a radial inflow motion, suggesting weak feedback on the cold gas from both AGN and starburst activity; (2) The dynamically inferred SMBH mass is 1.6聽卤聽0.4(rnd) 卤 0.8(sys)聽脳 108鈥塎鈯 assuming that we have accurately subtracted the AGN and starburst light contributions, which have a luminosity of 鈭109 L鈯; (3) The SMBH mass agrees with the SMBH鈭抯tellar mass relation but is 鈭50聽times higher than previous estimates from X-ray variability; (4) The dynamically inferred molecular gas mass is 30聽times smaller than that inferred from adopting the Galactic CO-to-H2 conversion factor (XCO) for thermalized gas, suggesting low values of XCO; (5) the molecular gas inflow rate increases steadily with radius and may be as high as 鈭5聽M鈯欌墆r鈭1. This work highlights the potential of using high-resolution CO data to estimate, in addition to SMBH masses, the XCO factor, and gas inflow rates in nearby galaxies.</jats:p>

Molecular Cloud Populations in the Context of Their Host Galaxy Environments: A Multiwavelength Perspective

The Astronomical Journal IOP Publishing 164:2 (2022) 43-43

Authors:

J Sun, AK Leroy, E Rosolowsky, A Hughes, E Schinnerer, A Schruba, EW Koch, GA Blanc, ID Chiang, B Groves, D Liu, S Meidt, HA Pan, J Pety, M Querejeta, T Saito, K Sandstrom, A Sardone, A Usero, D Utomo, TG Williams, AT Barnes, SM Benincasa, F Bigiel, AD Bolatto, M Boquien, M Chevance, DA Dale, S Deger, E Emsellem, SCO Glover, K Grasha, JD Henshaw, RS Klessen, K Kreckel, JMD Kruijssen, EC Ostriker, DA Thilker

Abstract:

We present a rich, multiwavelength, multiscale database built around the PHANGS-ALMA CO (2 - 1) survey and ancillary data. We use this database to present the distributions of molecular cloud populations and subgalactic environments in 80 PHANGS galaxies, to characterize the relationship between population-averaged cloud properties and host galaxy properties, and to assess key timescales relevant to molecular cloud evolution and star formation. We show that PHANGS probes a wide range of kpc-scale gas, stellar, and star formation rate (SFR) surface densities, as well as orbital velocities and shear. The population-averaged cloud properties in each aperture correlate strongly with both local environmental properties and host galaxy global properties. Leveraging a variable selection analysis, we find that the kpc-scale surface densities of molecular gas and SFR tend to possess the most predictive power for the population-averaged cloud properties. Once their variations are controlled for, galaxy global properties contain little additional information, which implies that the apparent galaxy-to-galaxy variations in cloud populations are likely mediated by kpc-scale environmental conditions. We further estimate a suite of important timescales from our multiwavelength measurements. The cloud-scale freefall time and turbulence crossing time are 鈭5-20 Myr, comparable to previous cloud lifetime estimates. The timescales for orbital motion, shearing, and cloud-cloud collisions are longer, 鈭100 Myr. The molecular gas depletion time is 1-3 Gyr and shows weak to no correlations with the other timescales in our data. We publish our measurements online, and expect them to have broad utility to future studies of molecular clouds and star formation

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