Feedback mechanisms stopping the star formation in a pair of massive galaxies in the early Universe

Posted by dbos Cambridge

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Pablo G. Pérez-González, Francesco D`Eugenio, Bruno Rodríguez del Pino, Hannah Übler, Roberto Maiolino | Summary: Feedback is the key physical mechanism regulating galaxy formation. Stars in galaxies form when baryons radiatively cool down and fall into gravitational wells. Eventually, star formation quenches as gas is depleted and/or […]


Continue.. Feedback mechanisms stopping the star formation in a pair of massive galaxies in the early Universe

Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Tianchen Zhou, FNU Hairi, Haibo Yang, Jia Liu, Tian Tong | Summary: Reinforcement learning with multiple, potentially conflicting objectives is pervasive in real-world applications, while this problem remains theoretically under-explored. This paper tackles the multi-objective reinforcement learning (MORL) problem and introduces an innovative actor-critic algorithm named MOAC […]


Continue.. Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning

Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu | Summary: Existing works in federated learning (FL) often assume an ideal system with either full client or uniformly distributed client participation. However, in practice, it has been observed that some clients may never participate in FL […]


Continue.. Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation

Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu | Summary: Existing works in federated learning (FL) often assume an ideal system with either full client or uniformly distributed client participation. However, in practice, it has been observed that some clients may never participate in FL […]


Continue.. Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation

Semi-supervised Symmetric Matrix Factorization with Low-Rank Tensor Representation

Posted by dbos Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang, | Summary: Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clustering ability of SNMF. The previous methods introduce the pairwise constraints from the local perspective, i.e., […]


Continue.. Semi-supervised Symmetric Matrix Factorization with Low-Rank Tensor Representation

Semi-supervised Symmetric Non-negative Matrix Factorization with Low-Rank Tensor Representation

Posted by dbos Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang, | Summary: Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clustering ability of SNMF. The previous methods introduce the pairwise constraints from the local perspective, i.e., […]


Continue.. Semi-supervised Symmetric Non-negative Matrix Factorization with Low-Rank Tensor Representation

Merging gas-rich galaxies that harbor low-luminosity twin quasars at z = 6.05: a promising progenitor of the most luminous quasars

Posted by dbos Tokyo

Kavli Affiliate: John D. Silverman | First 5 Authors: Takuma Izumi, Yoshiki Matsuoka, Masafusa Onoue, Michael A. Strauss, Hideki Umehata | Summary: We present ALMA [CII] 158 $mu$m line and underlying far-infrared continuum emission observations ($0”.57 times 0”.46$ resolution) toward a quasar-quasar pair system recently discovered at $z = 6.05$ (Matsuoka et al. 2024). The […]


Continue.. Merging gas-rich galaxies that harbor low-luminosity twin quasars at z = 6.05: a promising progenitor of the most luminous quasars

Merging gas-rich galaxies that harbor low-luminosity twin quasars at z = 6.05: a promising progenitor of the most luminous quasars

Posted by dbos Tokyo

Kavli Affiliate: John D. Silverman | First 5 Authors: Takuma Izumi, Yoshiki Matsuoka, Masafusa Onoue, Michael A. Strauss, Hideki Umehata | Summary: We present ALMA [CII] 158 $mu$m line and underlying far-infrared (FIR) continuum emission observations ($0”.57 times 0”.46$ resolution) toward a quasar-quasar pair system recently discovered at $z = 6.05$ (Matsuoka et al. 2024). […]


Continue.. Merging gas-rich galaxies that harbor low-luminosity twin quasars at z = 6.05: a promising progenitor of the most luminous quasars

Exomoons & Exorings with the Habitable Worlds Observatory I: On the Detection of Earth-Moon Analog Shadows & Eclipses

Posted by dbos MIT

Kavli Affiliate: Andrew Vanderburg | First 5 Authors: Mary Anne Limbach, Jacob Lustig-Yaeger, Andrew Vanderburg, Johanna M. Vos, Rene Heller | Summary: The highest priority recommendation of the Astro2020 Decadal Survey for space-based astronomy was the construction of an observatory capable of characterizing habitable worlds. In this paper series we explore the detectability of and […]


Continue.. Exomoons & Exorings with the Habitable Worlds Observatory I: On the Detection of Earth-Moon Analog Shadows & Eclipses