Black holes regulate cold gas accretion in massive galaxies

Kavli Affiliate: Luis C. Ho | First 5 Authors: Tao Wang, Ke Xu, Yuxuan Wu, Yong Shi, David Elbaz | Summary: Nearly every massive galaxy contains a supermassive black hole (BH) at its center. For decades, both theory and numerical simulations have indicated that BHs play a central role in regulating the growth and quenching […]


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Probabilistic Inference of the Structure and Orbit of Milky Way Satellites with Semi-Analytic Modeling

Dylan Folsom, Oren Slone, Mariangela Lisanti, Fangzhou Jiang, Manoj Kaplinghat | Summary: [[{“value”:”Semi-analytic modeling furnishes an efficient avenue for characterizing the properties of dark matter halos associated with satellites of Milky Way-like systems, as it easily accounts for uncertainties arising from halo-to-halo variance, the orbital disruption of satellites, baryonic feedback, and the stellar-to-halo mass (SMHM) […]


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The High Energy X-ray Probe (HEX-P): The Future of Hard X-ray Dual AGN Science

Kavli Affiliate: Claudio Ricci | First 5 Authors: Ryan W. Pfeifle, Peter G. Boorman, Kimberly A. Weaver, Johannes Buchner, Francesca Civano | Summary: A fundamental goal of modern-day astrophysics is to understand the connection between supermassive black hole (SMBH) growth and galaxy evolution. Merging galaxies offer one of the most dramatic channels for galaxy evolution […]


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Learning to Control under Uncertainty with Data-Based Iterative Linear Quadratic Regulator

Kavli Affiliate: Ran Wang | First 5 Authors: Ran Wang, Raman Goyal, Suman Chakravorty, , | Summary: This paper studies the learning-to-control problem under process and sensing uncertainties for dynamical systems. In our previous work, we developed a data-based generalization of the iterative linear quadratic regulator (iLQR) to design closed-loop feedback control for high-dimensional dynamical […]


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The High Energy X-ray Probe (HEX-P): Bringing the Cosmic X-ray Background into focus

Kavli Affiliate: Claudio Ricci | First 5 Authors: Francesca Civano, Xiurui Zhao, Peter Boorman, Stefano Marchesi, Tonima Ananna | Summary: Since the discovery of the Cosmic X-ray Background, astronomers have strived to understand the accreting super massive black holes contributing to its peak in the 10-40 keV band. Existing soft X-ray telescopes could study this […]


Continue.. The High Energy X-ray Probe (HEX-P): Bringing the Cosmic X-ray Background into focus

The High Energy X-ray Probe (HEX-P): Bringing the Cosmic X-ray Background into Focus

Kavli Affiliate: Claudio Ricci | First 5 Authors: Francesca Civano, Xiurui Zhao, Peter Boorman, Stefano Marchesi, Tonima Ananna | Summary: Since the discovery of the cosmic X-ray background (CXB), astronomers have strived to understand the accreting supermassive black holes (SMBHs) contributing to its peak in the 10-40 keV band. Existing soft X-ray telescopes could study […]


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Galaxy Spectra neural Network (GaSNet). II. Using Deep Learning for Spectral Classification and Redshift Predictions

Kavli Affiliate: Claudio Ricci | First 5 Authors: Fucheng Zhong, Nicola R. Napolitano, Caroline Heneka, Rui Li, Franz Erik Bauer | Summary: Large sky spectroscopic surveys have reached the scale of photometric surveys in terms of sample sizes and data complexity. These huge datasets require efficient, accurate, and flexible automated tools for data analysis and […]


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The robustness in identifying and quantifying high-redshift bars using JWST observations

Kavli Affiliate: Luis C. Ho | First 5 Authors: Xinyue Liang, Si-Yue Yu, Taotao Fang, Luis C. Ho, | Summary: Understanding the methodological robustness in identifying and quantifying high-redshift bars is essential for studying their evolution with the {it James} {it Webb} Space Telescope (JWST). Using a sample of nearby spiral galaxies, we created simulated […]


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The robustness in identifying and quantifying high-redshift bars using JWST observations

Kavli Affiliate: Luis C. Ho | First 5 Authors: Xinyue Liang, Si-Yue Yu, Taotao Fang, Luis C. Ho, | Summary: Understanding the methodological robustness in identifying and quantifying high-redshift bars is essential for studying their evolution with the {it James} {it Webb} Space Telescope (JWST). We used nearby spiral galaxies to generate simulated images at […]


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Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling

Kavli Affiliate: Jing Wang | First 5 Authors: Wonho Bae, Jing Wang, Danica J. Sutherland, , | Summary: Most meta-learning methods assume that the (very small) context set used to establish a new task at test time is passively provided. In some settings, however, it is feasible to actively select which points to label; the […]


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