Astrophysics – Page 17 – Kavli Institute Pre-Print Publications

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

Posted by dbos October 29, 2024November 11, 2024Cambridge

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 […]

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

Posted by dbos October 29, 2024Cambridge

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 […]

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The realm of Aurora. Density distribution of metal-poor giants in the heart of the Galaxy

Posted by dbos October 29, 2024November 11, 2024Chicago

Kavli Affiliate: Andrey Kravtsov | First 5 Authors: Evgeny P. Kurbatov, Vasily Belokurov, Sergey Koposov, Andrey Kravtsov, Elliot Y. Davies | Summary: The innermost portions of the Milky Way’s stellar halo have avoided scrutiny until recently. The lack of wide-area survey data, made it difficult to reconstruct an uninterrupted view of the density distribution of […]

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Quantum Digital Twins for Uncertainty Quantification

Posted by dbos October 29, 2024November 11, 2024Chicago

Kavli Affiliate: Elise Jennings | First 5 Authors: Soronzonbold Otgonbaatar, Elise Jennings, , , | Summary: Modern supercomputers can handle resource-intensive computational and data-driven problems in various industries and academic fields. These supercomputers are primarily made up of traditional classical resources comprising CPUs and GPUs. Integrating quantum processing units with supercomputers offers the potential to […]

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

Posted by dbos October 29, 2024November 11, 2024Cambridge

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 […]

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Unfolding X-ray Spectral Data: Conditions and Applications

Posted by dbos October 28, 2024November 11, 2024MIT

Kavli Affiliate: David P. Huenemoerder | First 5 Authors: Sean J. Gunderson, David P. Huenemoerder, , , | Summary: We present conditions for which X-ray spectra can be “unfolded” to present accurate representation of the true source spectra. The method we use to unfold the data is implemented in the textit{Interactive Spectral Interpretation Software} citep{Houck2000} […]

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Connecting the X-ray/UV variability of Fairall 9 with NICER: A Possible Warm Corona

Posted by dbos October 28, 2024November 11, 2024MIT

Kavli Affiliate: Erin Kara | First 5 Authors: Ethan R. Partington, Edward M. Cackett, Rick Edelson, Keith Horne, Jonathan Gelbord | Summary: The Seyfert 1 AGN Fairall 9 was targeted by NICER, Swift, and ground-based observatories for a $sim$1000-day long reverberation mapping campaign. The following analysis of NICER spectra taken at a two-day cadence provides […]

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Blind source separation of the stellar halo

Posted by dbos October 28, 2024November 11, 2024Chicago

Kavli Affiliate: Andrey Kravtsov | First 5 Authors: Elliot Y. Davies, Vasily Belokurov, Andrey Kravtsov, Stephanie Monty, GyuChul Myeong | Summary: The stellar halo of the Milky Way comprises an abundance of chemical signatures from accretion events and textit{in-situ} evolution, that form an interweaving tapestry in kinematic space. To untangle this, we consider the mixtures […]

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$texttt{StreamSculptor}$: Hamiltonian Perturbation Theory for Stellar Streams in Flexible Potentials with Differentiable Simulations

Posted by dbos October 28, 2024November 11, 2024Tokyo

Kavli Affiliate: David N. Spergel | First 5 Authors: Jacob Nibauer, Ana Bonaca, David N. Spergel, Adrian M. Price-Whelan, Jenny E. Greene | Summary: Stellar streams retain a memory of their gravitational interactions with small-scale perturbations. While perturbative models for streams have been formulated in action-angle coordinates, a direct transformation to these coordinates is only […]

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Data-Efficient Low-Complexity Acoustic Scene Classification via Distilling and Progressive Pruning

Posted by dbos October 28, 2024Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Bing Han, Wen Huang, Zhengyang Chen, Anbai Jiang, Pingyi Fan | Summary: The goal of the acoustic scene classification (ASC) task is to classify recordings into one of the predefined acoustic scene classes. However, in real-world scenarios, ASC systems often encounter challenges such as recording device mismatch, […]

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