The MAGPI Survey: Impact of environment on the total internal mass distribution of galaxies in the last 5 Gyr

Kavli Affiliate: Yingjie Peng | First 5 Authors: Caro Derkenne, Richard M. McDermid, Adriano Poci, J. Trevor Mendel, Francesco D’Eugenio | Summary: We investigate the impact of environment on the internal mass distribution of galaxies using the Middle Ages Galaxy Properties with Integral field spectroscopy (MAGPI) survey. We use 2D resolved stellar kinematics to construct […]


Continue.. The MAGPI Survey: Impact of environment on the total internal mass distribution of galaxies in the last 5 Gyr

Radial and Non-Radial Oscillations of Inverted Hybrid Stars

Kavli Affiliate: Lijing Shao | First 5 Authors: Chen Zhang, Yudong Luo, Hong-bo Li, Lijing Shao, Renxin Xu | Summary: We study the radial and non-radial oscillations of Cross stars (CrSs), i.e., stars with a quark matter crust and a hadronic matter core in an inverted order compared to conventional hybrid stars. We draw comparisons […]


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RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Kavli Affiliate: Ke Wang | First 5 Authors: Yifan Song, Weimin Xiong, Dawei Zhu, Wenhao Wu, Han Qian | Summary: Tool-augmented large language models (LLMs) have achieved remarkable progress in tackling a broad range of tasks. However, existing methods are mainly restricted to specifically designed tools and fail to fulfill complex instructions, having great limitations […]


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An Empirical Study of Bugs in Quantum Machine Learning Frameworks

Kavli Affiliate: Zhuo Li | First 5 Authors: Pengzhan Zhao, Xiongfei Wu, Junjie Luo, Zhuo Li, Jianjun Zhao | Summary: Quantum computing has emerged as a promising domain for the machine learning (ML) area, offering significant computational advantages over classical counterparts. With the growing interest in quantum machine learning (QML), ensuring the correctness and robustness […]


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Reconstruction of Cosmic Black Hole Growth and Mass Distribution from Quasar Luminosity Functions at $z>4$

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Wenxiu Li, Kohei Inayoshi, Masafusa Onoue, Wanqiu He, Yoshiki Matsuoka | Summary: The evolution of the quasar luminosity function (QLF) is fundamental to understanding the cosmic evolution of black holes (BHs) through their accretion phases. In the era of the James Webb Space Telescope (JWST), Euclid, and […]


Continue.. Reconstruction of Cosmic Black Hole Growth and Mass Distribution from Quasar Luminosity Functions at $z>4$

Reconstruction of Cosmic Black Hole Growth and Mass Distribution from Quasar Luminosity Functions at $z>4$

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Wenxiu Li, Kohei Inayoshi, Masafusa Onoue, Wanqiu He, Yoshiki Matsuoka | Summary: The evolution of the quasar luminosity function (QLF) is fundamental to understanding the cosmic evolution of black holes (BHs) through their accretion phases. In the era of the James Webb Space Telescope (JWST), Euclid, and […]


Continue.. Reconstruction of Cosmic Black Hole Growth and Mass Distribution from Quasar Luminosity Functions at $z>4$

Reconstruction of Cosmic Black Hole Growth and Mass Distribution from Quasar Luminosity Functions at $z>4$: Implications for Faint and Low-mass Populations in JWST

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Wenxiu Li, Kohei Inayoshi, Masafusa Onoue, Wanqiu He, Yoshiki Matsuoka | Summary: The evolution of the quasar luminosity function (QLF) is fundamental to understanding the cosmic evolution of black holes (BHs) through their accretion phases. In the era of the James Webb Space Telescope (JWST), Euclid, and […]


Continue.. Reconstruction of Cosmic Black Hole Growth and Mass Distribution from Quasar Luminosity Functions at $z>4$: Implications for Faint and Low-mass Populations in JWST

Galaxy Light profile neural Networks (GaLNets). II. Bulge-Disc decomposition in optical space-based observations

Kavli Affiliate: Hu Zhan | First 5 Authors: Chen Qiu, Nicola R. Napolitano, Rui Li, Yuedong Fang, Crescenzo Tortora | Summary: Bulge-disk (B-D) decomposition is an effective diagnostic to characterize the galaxy morphology and understand its evolution across time. So far, high-quality data have allowed detailed B-D decomposition to redshift below 0.5, with limited excursions […]


Continue.. Galaxy Light profile neural Networks (GaLNets). II. Bulge-Disc decomposition in optical space-based observations

Galaxy Light profile neural Networks (GaLNets). II. Bulge-Disc decomposition in optical space-based observations

Kavli Affiliate: Hu Zhan | First 5 Authors: Chen Qiu, Nicola R. Napolitano, Rui Li, Yuedong Fang, Crescenzo Tortora | Summary: Bulge-disk (B-D) decomposition is an effective diagnostic to characterize the galaxy morphology and understand its evolution across time. So far, high-quality data have allowed detailed B-D decomposition to redshift below 0.5, with limited excursions […]


Continue.. Galaxy Light profile neural Networks (GaLNets). II. Bulge-Disc decomposition in optical space-based observations

Online Multi-Contact Receding Horizon Planning via Value Function Approximation

Kavli Affiliate: Ke Wang | First 5 Authors: Jiayi Wang, Sanghyun Kim, Teguh Santoso Lembono, Wenqian Du, Jaehyun Shim | Summary: Planning multi-contact motions in a receding horizon fashion requires a value function to guide the planning with respect to the future, e.g., building momentum to traverse large obstacles. Traditionally, the value function is approximated […]


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