Searching for Compact Obscured Nuclei in Compton Thick AGN
Kavli Affiliate: Claudio Ricci | First 5 Authors: Makoto A. Johnstone, George C. Privon, Loreto Barcos-Munoz, A. S. Evans, S. Aalto | Summary: Compact Obscured Nuclei (CONs) are heavily obscured infrared cores that have been found in local (ultra)luminous infrared galaxies (U/LIRGs). They show bright emission from vibrationally excited rotational transitions of HCN, known as […]
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Ultra-diffuse galaxies in the EAGLE simulation
Haonan Zheng, Shihong Liao, Liang Gao, Fangzhou Jiang, | Summary: [[{“value”:”We use the highest-resolution EAGLE simulation, Recal-L025N0752, to study the properties and formation of ultra-diffuse galaxies (UDGs). We identify 181 UDGs and find their properties closely match observations. The total masses of EAGLE UDGs range from ${sim}5times 10^{8}~M_{odot}$ to ${sim}2times 10^{11}~M_{odot}$, indicating that they are […]
Continue.. Ultra-diffuse galaxies in the EAGLE simulation
Ultra-diffuse galaxies in the EAGLE simulation
Haonan Zheng, Shihong Liao, Liang Gao, Fangzhou Jiang, | Summary: [[{“value”:”We use the highest-resolution EAGLE simulation, Recal-L025N0752, to study the properties and formation of ultra-diffuse galaxies (UDGs). We identify 181 UDGs and find their properties closely match observations. The total masses of EAGLE UDGs range from ${sim}5times 10^{8}~M_{odot}$ to ${sim}2times 10^{11}~M_{odot}$, indicating that they are […]
Continue.. Ultra-diffuse galaxies in the EAGLE simulation
Geometry of Kinematic Flow
Kavli Affiliate: Austin Joyce | First 5 Authors: Daniel Baumann, Harry Goodhew, Austin Joyce, Hayden Lee, Guilherme L. Pimentel | Summary: We uncover a geometric organization of the differential equations for the wavefunction coefficients of conformally coupled scalars in power-law cosmologies. To do this, we introduce a basis of functions inspired by a decomposition of […]
Continue.. Geometry of Kinematic Flow
Geometry of Kinematic Flow
Kavli Affiliate: Austin Joyce | First 5 Authors: Daniel Baumann, Harry Goodhew, Austin Joyce, Hayden Lee, Guilherme L. Pimentel | Summary: We uncover a geometric organization of the differential equations for the wavefunction coefficients of conformally coupled scalars in power-law cosmologies. To do this, we introduce a basis of functions inspired by a decomposition of […]
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Systematic search for blue hyper-velocity stars from LAMOST survey
Kavli Affiliate: Huawei Zhang | First 5 Authors: Yongkang Sun, Yang Huang, Jifeng Liu, Haozhu Fu, Huawei Zhang | Summary: Hypervelocity stars (HVSs) represent a unique class of objects capable of escaping the gravitational pull of the Milky Way due to extreme acceleration events, such as close encounters with the supermassive black hole at the […]
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Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning
Kavli Affiliate: Jia Liu | First 5 Authors: Jia Liu, Cheng Jinguo, Xia Fang, Zhenyuan Ma, Yuankai Wu | Summary: Time series foundation models excel at diverse time series forecasting tasks, but their capacity for continuous improvement through incremental learning remains unexplored. We present the first comprehensive study investigating these models’ temporal plasticity – their […]
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Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection
Kavli Affiliate: Li Xin Li | First 5 Authors: Weijun Zhuang, Qizhang Li, Xin Li, Ming Liu, Xiaopeng Hong | Summary: Temporal Action Detection and Moment Retrieval constitute two pivotal tasks in video understanding, focusing on precisely localizing temporal segments corresponding to specific actions or events. Recent advancements introduced Moment Detection to unify these two […]
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Deep Neural Networks for Modeling Astrophysical Nuclear reacting flows
Kavli Affiliate: Lile Wang | First 5 Authors: Xiaoyu Zhang, Yuxiao Yi, Lile Wang, Zhi-Qin John Xu, Tianhan Zhang | Summary: In astrophysical simulations, nuclear reacting flows pose computational challenges due to the stiffness of reaction networks. We introduce neural network-based surrogate models using the DeePODE framework to enhance simulation efficiency while maintaining accuracy and […]
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