Bayesian data analysis for sky-averaged 21-cm experiments with contamination from linearly polarised foreground

Kavli Affiliate: George Efstathiou | First 5 Authors: Emma Shen, Dominic Anstey, Marta Spinelli, Eloy de Lera Acedo, Anastasia Fialkov | Summary: The precise measurement of the sky-averaged HI absorption signal between 50 and 200 MHz is the primary goal of global 21-cm cosmology. This measurement has the potential to unravel the underlying physics of […]


Continue.. Bayesian data analysis for sky-averaged 21-cm experiments with contamination from linearly polarised foreground

The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data

Kavli Affiliate: Kaisey Mandel | First 5 Authors: The Multimodal Universe Collaboration, Jeroen Audenaert, Micah Bowles, Benjamin M. Boyd, David Chemaly | Summary: We present the MULTIMODAL UNIVERSE, a large-scale multimodal dataset of scientific astronomical data, compiled specifically to facilitate machine learning research. Overall, the MULTIMODAL UNIVERSE contains hundreds of millions of astronomical observations, constituting […]


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Uncovering the Effects of Array Mutual Coupling in 21-cm Experiments with the SKA-Low Radio Telescope

Kavli Affiliate: George Efstathiou | First 5 Authors: Oscar S. D. O’Hara, Quentin Gueuning, Eloy de Lera Acedo, Fred Dulwich, John Cumner | Summary: We investigate the impact of Mutual Coupling (MC) between antennas on the time-delay power spectrum response of the core of the SKA-Low radio telescope. Using two in-house tools – Fast Array […]


Continue.. Uncovering the Effects of Array Mutual Coupling in 21-cm Experiments with the SKA-Low Radio Telescope

Multi-Agent System for Cosmological Parameter Analysis

Kavli Affiliate: Blake Sherwin | First 5 Authors: Andrew Laverick, Kristen Surrao, Inigo Zubeldia, Boris Bolliet, Miles Cranmer | Summary: Multi-agent systems (MAS) utilizing multiple Large Language Model agents with Retrieval Augmented Generation and that can execute code locally may become beneficial in cosmological data analysis. Here, we illustrate a first small step towards AI-assisted […]


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GA-NIFS: A galaxy-wide outflow in a Compton-thick mini-BAL quasar at z = 3.5 probed in emission and absorption

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Michele Perna, Santiago Arribas, Xihan Ji, Cosimo Marconcini, Isabella Lamperti | Summary: Studying the distribution and properties of ionised gas in outflows driven by AGN is crucial for understanding the feedback mechanisms at play in extragalactic environments. In this study, we explore the connection between ionised outflows […]


Continue.. GA-NIFS: A galaxy-wide outflow in a Compton-thick mini-BAL quasar at z = 3.5 probed in emission and absorption

Buchdahl bound, photon ring, ISCO and radial acceleration in Einstein-æther theory

Kavli Affiliate: Anthony Lasenby | First 5 Authors: Yi-Hsiung Hsu, Anthony Lasenby, Will Barker, Amel Durakovic, Michael Hobson | Summary: Spherically symmetric Einstein-{ae}ther (E{AE}) theory with a Maxwell-like kinetic term is revisited. We consider a general choice of the metric and the ae{}ther field, finding that:~(i) there is a gauge freedom allowing one always to […]


Continue.. Buchdahl bound, photon ring, ISCO and radial acceleration in Einstein-æther theory

Hair is complicated: Gravitational waves from stable and unstable boson-star mergers

Kavli Affiliate: Ulrich Sperhake | First 5 Authors: Bo-Xuan Ge, Eugene A. Lim, Ulrich Sperhake, Tamara Evstafyeva, Daniela Cors | Summary: We explore the gravitational-wave emission from head-on collisions of equal-mass solitonic boson-star binaries from simulations spanning a two-dimensional parameter space, consisting of the central scalar-field amplitude of the stars and the solitonic potential parameter. […]


Continue.. Hair is complicated: Gravitational waves from stable and unstable boson-star mergers

Measuring redshift and galaxy properties via a multi-task neural net with probabilistic outputs: An application to simulated MOONS spectra

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Michele Ginolfi, Filippo Mannucci, Francesco Belfiore, Alessandro Marconi, Nicholas Boardman | Summary: The era of large-scale astronomical surveys demands innovative approaches for rapid and accurate analysis of extensive spectral data, and a promising direction to address this challenge is offered by artificial intelligence (AI). Here we introduce […]


Continue.. Measuring redshift and galaxy properties via a multi-task neural net with probabilistic outputs: An application to simulated MOONS spectra

Inferring redshift and galaxy properties via a multi-task neural net with probabilistic outputs: An application to simulated MOONS spectra

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Michele Ginolfi, Filippo Mannucci, Francesco Belfiore, Alessandro Marconi, Nicholas Boardman | Summary: The era of large-scale astronomical surveys demands innovative approaches for rapid and accurate analysis of extensive spectral data, and a promising direction in which to address this challenge is offered by machine learning. Here, we […]


Continue.. Inferring redshift and galaxy properties via a multi-task neural net with probabilistic outputs: An application to simulated MOONS spectra

The missing FeII bump in faint JWST AGN: possible evidence for metal-poor broad-line regions at early cosmic times

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Bartolomeo Trefoloni, Xihan Ji, Roberto Maiolino, Francesco D’Eugenio, Hannah Übler | Summary: Recent JWST observations have revealed a large population of intermediate/low-luminosity AGN at early times with peculiar properties, different from local AGN or luminous quasars. To better understand the physical conditions in the BLRs of these […]


Continue.. The missing FeII bump in faint JWST AGN: possible evidence for metal-poor broad-line regions at early cosmic times