Snowmass 2021 CMB-S4 White Paper

Kavli Affiliate: Salman Habib, Katrin Heitmann, Lindsey Bleem, Karen Byrum, Erik Shirokoff, John E. Carlstrom, Bradford A. Benson, Chao-Lin Kuo, Richard Hills | First 5 Authors: Kevork Abazajian, Arwa Abdulghafour, Graeme E. Addison, Peter Adshead, Zeeshan Ahmed | Summary: This Snowmass 2021 White Paper describes the Cosmic Microwave Background Stage 4 project CMB-S4, which is […]


Continue.. Snowmass 2021 CMB-S4 White Paper

The irreducible mass and the horizon area of LIGO’s black holes

Kavli Affiliate: Ulrich Sperhake | First 5 Authors: Davide Gerosa, Cecilia Maria Fabbri, Ulrich Sperhake, , | Summary: The mass of a Kerr black hole can be separated into irreducible and rotational components -the former is a lower limit to the energy that cannot be possibly extracted from the event horizon and is related to […]


Continue.. The irreducible mass and the horizon area of LIGO’s black holes

Emulation of the Cosmic Dawn 21-cm Power Spectrum and Classification of Excess Radio Models Using an Artificial Neural Network

Kavli Affiliate: George Efstathiou | First 5 Authors: Sudipta Sikder, Rennan Barkana, Itamar Reis, Anastasia Fialkov, | Summary: The cosmic 21-cm line of hydrogen is expected to be measured in detail by the next generation of radio telescopes. The enormous dataset from future 21-cm surveys will revolutionize our understanding of early cosmic times. We present […]


Continue.. Emulation of the Cosmic Dawn 21-cm Power Spectrum and Classification of Excess Radio Models Using an Artificial Neural Network

The quenching of galaxies, bulges, and disks since cosmic noon: A machine learning approach for identifying causality in astronomical data

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Asa F. L. Bluck, Roberto Maiolino, Simcha Brownson, Christopher J. Conselice, Sara L. Ellison | Summary: We present an analysis of the quenching of star formation in galaxies, bulges, and disks throughout the bulk of cosmic history, from $z=2-0$. We utilise observations from the SDSS and MaNGA […]


Continue.. The quenching of galaxies, bulges, and disks since cosmic noon: A machine learning approach for identifying causality in astronomical data

ALMaQUEST — VII: Star Formation Scaling Relations of Green Valley Galaxies

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Lihwai Lin, Sara L. Ellison, Hsi-An Pan, Mallory Thorp, Po-Chieh Yu | Summary: We utilize the ALMA-MaNGA QUEnch and STar formation (ALMaQUEST) survey to investigate the kpc-scale scaling relations, presented as the resolved star forming main sequence (rSFMS: $Sigma_{rm SFR}$ vs. $Sigma_{*}$), the resolved Schmidt-Kennicutt relation (rSK: […]


Continue.. ALMaQUEST — VII: Star Formation Scaling Relations of Green Valley Galaxies

The ALMaQUEST Survey IX: The nature of the resolved star forming main sequence

Kavli Affiliate: Roberto Maiolino | First 5 Authors: William M. Baker, Roberto Maiolino, Asa F. L. Bluck, Lihwai Lin, Sara L. Ellison | Summary: We investigate the nature of the scaling relations between the surface density of star formation rate ($Sigma _{rm SFR}$), stellar mass ($Sigma _*$), and molecular gas mass ($Sigma _{rm H_2}$), aiming […]


Continue.. The ALMaQUEST Survey IX: The nature of the resolved star forming main sequence