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The molecular gas main sequence and Schmidt-Kennicutt relation are fundamental, the star-forming main sequence is a (useful) byproduct

Autor: Baker, WM, Maiolino, R, Belfiore, F, Bluck, AFL, Curti, M, Wylezalek, D, Bertemes, C, Bothwell, MS, Lin, L, Thorp, M, Pan, HA

We investigate the relationship between the star formation rate (SFR), stellar mass ($M_*$) and molecular gas mass ($M_{H_2}$) for local star-forming galaxies. We further investigate these relationships for high-z (z=1-3) galaxies and for the hosts o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::029186daeb27a9cbbc4c7cc7f7c15ded
https://www.repository.cam.ac.uk/handle/1810/343652

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The metallicity's fundamental dependence on both local and global galactic quantities

Autor: Baker, WM, Maiolino, R, Belfiore, F, Curti, M, Bluck, AFL, Lin, L, Ellison, SL, Thorp, M, Pan, HA

We study the scaling relations between gas-phase metallicity, stellar mass surface density ($\Sigma _*$), star formation rate surface density ($\Sigma _{SFR}$), and molecular gas surface density ($\Sigma_{H_2}$) in local star-forming galaxies on scal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a50bd3101629e53e397be522f032996
https://www.repository.cam.ac.uk/handle/1810/344270

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The ALMaQUEST Survey - V. The non-universality of kpc-scale star formation relations and the factors that drive them

Autor: Ellison, SL, Lin, L, Thorp, MD, Pan, HA, Scudder, JM, Sánchez, SF, Bluck, AFL, Maiolino, R

Using a sample of ∼15 000 kpc-scale star-forming spaxels in 28 galaxies drawn from the ALMA-MaNGA QUEnching and STar formation (ALMaQUEST) survey, we investigate the galaxy-to-galaxy variation of the ‘resolved’ Schmidt–Kennicutt relation (rSK

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::baf07e44afb3f89a49e391d252503dcc

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The Fundamental Signature of Star Formation Quenching from AGN Feedback: A Critical Dependence of Quiescence on Supermassive Black Hole Mass, Not Accretion Rate

Autor: Bluck, Asa FL, Piotrowska, Joanna M, Maiolino, Roberto

Publikováno v: The Astrophysical Journal. 944:108

We identify the intrinsic dependence of star formation quenching on a variety of galactic and environmental parameters, utilizing a machine learning approach with Random Forest classification. We have previously demonstrated the power of this techniq

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38168f094b21acbb4eb91edadec5fbf7
https://doi.org/10.3847/1538-4357/acac7c

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