GRB Redshift Estimation using Machine Learning and the Associated Web-App

Kavli Affiliate: Vahe Petrosian | First 5 Authors: Aditya Narendra, Maria Dainotti, Milind Sarkar, Aleksander Lenart, Malgorzata Bogdan | Summary: Context. Gamma-ray bursts (GRBs), observed at redshifts as high as 9.4, could serve as valuable probes for investigating the distant Universe. However, this necessitates an increase in the number of GRBs with determined redshifts, as […]


Continue.. GRB Redshift Estimation using Machine Learning and the Associated Web-App

GRB Redshift Estimation using Machine Learning and the Associated Web-App

Kavli Affiliate: Vahe Petrosian | First 5 Authors: Aditya Narendra, Maria Dainotti, Milind Sarkar, Aleksander Lenart, Malgorzata Bogdan | Summary: Context. Gamma-ray bursts (GRBs), observed at redshifts as high as 9.4, could serve as valuable probes for investigating the distant Universe. However, this necessitates an increase in the number of GRBs with determined redshifts, as […]


Continue.. GRB Redshift Estimation using Machine Learning and the Associated Web-App

Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC

Kavli Affiliate: Marcela Carena | First 5 Authors: Ernesto Arganda, Marcela Carena, Martín de los Rios, Andres D. Perez, Duncan Rocha | Summary: The search for weakly interacting matter particles (WIMPs) is one of the main objectives of the High Luminosity Large Hadron Collider (HL-LHC). In this work we use Machine Learning (ML) techniques to […]


Continue.. Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC

Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC

Kavli Affiliate: Marcela Carena | First 5 Authors: Ernesto Arganda, Marcela Carena, Martín de los Rios, Andres D. Perez, Duncan Rocha | Summary: The search for weakly interacting matter particles (WIMPs) is one of the main objectives of the High Luminosity Large Hadron Collider (HL-LHC). In this work we use Machine-Learning (ML) techniques to explore […]


Continue.. Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC

The Affleck-Dine Curvaton

Kavli Affiliate: Gordan Krnjaic | First 5 Authors: Aurora Ireland, Gordan Krnjaic, Takuya Okawa, , | Summary: The Standard Model of particle physics does not explain the origin of the universe’s baryon asymmetry or its primordial fluctuations. The Affleck-Dine mechanism is a well-motivated scenario for generating the baryon asymmetry through the post-inflationary dynamics of a […]


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ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization

Kavli Affiliate: Ke Wang | First 5 Authors: Xiutian Zhao, Ke Wang, Wei Peng, , | Summary: Dialogue agents have been receiving increasing attention for years, and this trend has been further boosted by the recent progress of large language models (LLMs). Stance detection and dialogue summarization are two core tasks of dialogue agents in […]


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Connection between Non-Axisymmetric Structures and Neutral Gas Distribution in Disk Galaxies

Kavli Affiliate: Luis C. Ho | First 5 Authors: Ze-Zhong Liang, Jing Wang, Hua Gao, Luis C. Ho, E. Athanassoula | Summary: Non-axisymmetric structures, such as bars and spiral arms, are known to concentrate molecular gas and star formation in galaxy centers, actively building up the pseudo-bulges. However, a direct link between the neutral (i.e., […]


Continue.. Connection between Non-Axisymmetric Structures and Neutral Gas Distribution in Disk Galaxies

Connection between Non-Axisymmetric Structures and Neutral Gas Distribution in Disk Galaxies

Kavli Affiliate: Jing Wang | First 5 Authors: Ze-Zhong Liang, Jing Wang, Hua Gao, Luis C. Ho, E. Athanassoula | Summary: Non-axisymmetric structures, such as bars and spiral arms, are known to concentrate molecular gas and star formation in galaxy centers, actively building up the pseudo-bulges. However, a direct link between the neutral (i.e., molecular […]


Continue.. Connection between Non-Axisymmetric Structures and Neutral Gas Distribution in Disk Galaxies

Towards Better Performance in Incomplete LDL: Addressing Data Imbalance

Kavli Affiliate: Jing Wang | First 5 Authors: Zhiqiang Kou, Haoyuan Xuan, Jing Wang, Yuheng Jia, Xin Geng | Summary: Label Distribution Learning (LDL) is a novel machine learning paradigm that addresses the problem of label ambiguity and has found widespread applications. Obtaining complete label distributions in real-world scenarios is challenging, which has led to […]


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Most High-density Exoplanets Are Unlikely to Be Remnant Giant-planet Cores

Kavli Affiliate: Sara Seager | First 5 Authors: Zifan Lin, Saverio Cambioni, Sara Seager, , | Summary: Some exoplanets have much higher densities than expected from stellar abundances of planet-forming elements. There are two theories – metal-rich formation hypothesis and naked core hypothesis – that explain how formation and evolution can alter the compositions and […]


Continue.. Most High-density Exoplanets Are Unlikely to Be Remnant Giant-planet Cores