The ALMA-QUARKS survey: — I. Survey description and data reduction

Kavli Affiliate: Ke Wang | First 5 Authors: Xunchuan Liu, Tie Liu, Lei Zhu, Guido Garay, Hong-Li Liu | Summary: This paper presents an overview of the QUARKS survey, which stands for `Querying Underlying mechanisms of massive star formation with ALMA-Resolved gas Kinematics and Structures’. The QUARKS survey is observing 139 massive clumps covered by […]


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Charged vacancy in graphene: interplay between Landau levels and atomic collapse resonances

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Wen-Sheng Zhao, Yue Hu, R. N. Costa Filho, Francois M. Peeters | Summary: The interplay between a magnetic field and the Coulomb potential from a charged vacancy on the electron states in graphene is investigated within the tight-binding model. The Coulomb potential removes locally Landau […]


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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) […]


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

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

, , , , | 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) relation. We use the SatGen semi-analytic […]


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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 […]


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