Constraints on the spacetime variation of the fine-structure constant using DESI emission-line galaxies

Kavli Affiliate: Linhua Jiang | First 5 Authors: Linhua Jiang, Zhiwei Pan, Jessica Nicole Aguilar, Steven Ahlen, Robert Blum | Summary: We present strong constraints on the spacetime variation of the fine-structure constant $alpha$ using the Dark Energy Spectroscopic Instrument (DESI). In this pilot work, we utilize $sim110,000$ galaxies with strong and narrow O III […]


Continue.. Constraints on the spacetime variation of the fine-structure constant using DESI emission-line galaxies

Constraints on the spacetime variation of the fine-structure constant using DESI emission-line galaxies

Kavli Affiliate: Linhua Jiang | First 5 Authors: Linhua Jiang, Zhiwei Pan, Jessica Nicole Aguilar, Steven Ahlen, Robert Blum | Summary: We present strong constraints on the spacetime variation of the fine-structure constant $alpha$ using the Dark Energy Spectroscopic Instrument (DESI). In this pilot work, we utilize $sim110,000$ galaxies with strong and narrow O III […]


Continue.. Constraints on the spacetime variation of the fine-structure constant using DESI emission-line galaxies

Constraints on the spacetime variation of the fine-structure constant using DESI emission-line galaxies

Kavli Affiliate: Linhua Jiang | First 5 Authors: Linhua Jiang, Zhiwei Pan, Jessica Nicole Aguilar, Steven Ahlen, Robert Blum | Summary: We present strong constraints on the spacetime variation of the fine-structure constant $alpha$ using the Dark Energy Spectroscopic Instrument (DESI). In this pilot work, we utilize $sim110,000$ galaxies with strong and narrow O III […]


Continue.. Constraints on the spacetime variation of the fine-structure constant using DESI emission-line galaxies

Radio Scrutiny of the X-ray-Weak Tail of Low-Mass Active Galactic Nuclei: A Novel Signature of High-Eddington Accretion?

Kavli Affiliate: Luis C. Ho | First 5 Authors: Jeremiah D. Paul, Richard M. Plotkin, W. N. Brandt, Christopher H. Ellis, Elena Gallo | Summary: The supermassive black holes ($M_{rm BH} sim 10^{6}$$-$$10^{10}~M_odot$) that power luminous active galactic nuclei (AGNs), i.e., quasars, generally show a correlation between thermal disk emission in the ultraviolet (UV) and […]


Continue.. Radio Scrutiny of the X-ray-Weak Tail of Low-Mass Active Galactic Nuclei: A Novel Signature of High-Eddington Accretion?

Radio Scrutiny of the X-ray-Weak Tail of Low-Mass Active Galactic Nuclei: A Novel Signature of High-Eddington Accretion?

Kavli Affiliate: Luis C. Ho | First 5 Authors: Jeremiah D. Paul, Richard M. Plotkin, W. N. Brandt, Christopher H. Ellis, Elena Gallo | Summary: The supermassive black holes ($M_{rm BH} sim 10^{6}$$-$$10^{10}~M_odot$) that power luminous active galactic nuclei (AGNs), i.e., quasars, generally show a correlation between thermal disk emission in the ultraviolet (UV) and […]


Continue.. Radio Scrutiny of the X-ray-Weak Tail of Low-Mass Active Galactic Nuclei: A Novel Signature of High-Eddington Accretion?

The ALMA-QUARKS Survey: II. the ACA 1.3 mm continuum source catalog and the assembly of dense gas in massive star-forming clumps

Kavli Affiliate: Ke Wang | First 5 Authors: Fengwei Xu, Ke Wang, Tie Liu, Lei Zhu, Guido Garay | Summary: Leveraging the high resolution, high sensitivity, and wide frequency coverage of the Atacama Large Millimeter/submillimeter Array (ALMA), the QUARKS survey, standing for "Querying Underlying mechanisms of massive star formation with ALMA-Resolved gas Kinematics and Structures", […]


Continue.. The ALMA-QUARKS Survey: II. the ACA 1.3 mm continuum source catalog and the assembly of dense gas in massive star-forming clumps

HSIMamba: Hyperpsectral Imaging Efficient Feature Learning with Bidirectional State Space for Classification

Kavli Affiliate: Jing Wang | First 5 Authors: Judy X Yang, Jun Zhou, Jing Wang, Hui Tian, Alan Wee Chung Liew | Summary: Classifying hyperspectral images is a difficult task in remote sensing, due to their complex high-dimensional data. To address this challenge, we propose HSIMamba, a novel framework that uses bidirectional reversed convolutional neural […]


Continue.. HSIMamba: Hyperpsectral Imaging Efficient Feature Learning with Bidirectional State Space for Classification

Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region

Kavli Affiliate: Xian Chen | First 5 Authors: Haijie Xu, Xiaochen Xian, Chen Zhang, Kaibo Liu, | Summary: Sequential change point detection for multivariate autocorrelated data is a very common problem in practice. However, when the sensing resources are limited, only a subset of variables from the multivariate system can be observed at each sensing […]


Continue.. Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region

Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer

Kavli Affiliate: Ke Wang | First 5 Authors: Yuwen Tan, Qinhao Zhou, Xiang Xiang, Ke Wang, Yuchuan Wu | Summary: Class-incremental learning (CIL) aims to enable models to continuously learn new classes while overcoming catastrophic forgetting. The introduction of pre-trained models has brought new tuning paradigms to CIL. In this paper, we revisit different parameter-efficient […]


Continue.. Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer

Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch Reasoning

Kavli Affiliate: Ke Wang | First 5 Authors: Qinhao Zhou, Zihan Zhang, Xiang Xiang, Ke Wang, Yuchuan Wu | Summary: Open-source pre-trained Large Language Models (LLMs) exhibit strong language understanding and generation capabilities, making them highly successful in a variety of tasks. However, when used as agents for dealing with complex problems in the real […]


Continue.. Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch Reasoning