Predicting LyC emission of galaxies using their physical and Ly$α$ emission properties

Kavli Affiliate: Martin Haehnelt | First 5 Authors: Moupiya Maji, Anne Verhamme, Joakim Rosdahl, Thibault Garel, Jeremy Blaizot | Summary: The primary difficulty in understanding the sources and processes that powered cosmic reionization is that it is not possible to directly probe the ionizing Lyman Continuum (LyC) radiation at that epoch as those photons have […]


Continue.. Predicting LyC emission of galaxies using their physical and Ly$α$ emission properties

Being KLEVER at cosmic noon: ionised gas outflows are inconspicuous in low-mass star-forming galaxies but prominent in massive AGN hosts

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Alice Concas, Roberto Maiolino, Mirko Curti, Connor Hayden-Pawson, Michele Cirasuolo | Summary: We investigate the presence of ionised gas outflows in a sample of 141 main-sequence star-forming galaxies at $1.2<z<2.6$ from the KLEVER (KMOS Lensed Emission Lines and VElocity Review) survey. Our sample covers an exceptionally wide […]


Continue.. Being KLEVER at cosmic noon: ionised gas outflows are inconspicuous in low-mass star-forming galaxies but prominent in massive AGN hosts

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 […]


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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 […]


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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 […]


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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