Results and Limits of Time Division Multiplexing for the BICEP Array High Frequency Receivers

Kavli Affiliate: Chao-Lin Kuo | First 5 Authors: , , , , | Summary: Time-Division Multiplexing is the readout architecture of choice for many ground and space experiments, as it is a very mature technology with proven outstanding low-frequency noise stability, which represents a central challenge in multiplexing. Once fully populated, each of the two […]


Continue.. Results and Limits of Time Division Multiplexing for the BICEP Array High Frequency Receivers

Till the core collapses: the evolution and properties of self-interacting dark matter subhalos

Zhichao Carton Zeng, Annika H. G. Peter, Xiaolong Du, Shengqi Yang, Andrew Benson | Summary: [[{“value”:”One of the hottest questions in the cosmology of self-interacting dark matter (SIDM) is whether scatterings can induce detectable core-collapse in halos by the present day. Because gravitational tides can accelerate core-collapse, the most promising targets to observe core-collapse are […]


Continue.. Till the core collapses: the evolution and properties of self-interacting dark matter subhalos

Till the core collapses: the evolution and properties of self-interacting dark matter subhalos

Zhichao Carton Zeng, Annika H. G. Peter, Xiaolong Du, Shengqi Yang, Andrew Benson | Summary: [[{“value”:”One of the hottest questions in the cosmology of self-interacting dark matter (SIDM) is whether scatterings can induce detectable core-collapse in halos by the present day. Because gravitational tides can accelerate core-collapse, the most promising targets to observe core-collapse are […]


Continue.. Till the core collapses: the evolution and properties of self-interacting dark matter subhalos

Enhancing Stance Classification with Quantified Moral Foundations

Kavli Affiliate: Wei Gao | First 5 Authors: Hong Zhang, Prasanta Bhattacharya, Wei Gao, Liang Ze Wong, Brandon Siyuan Loh | Summary: This study enhances stance detection on social media by incorporating deeper psychological attributes, specifically individuals’ moral foundations. These theoretically-derived dimensions aim to provide a comprehensive profile of an individual’s moral concerns which, in […]


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Exploring the Dependence of Gas Cooling and Heating Functions on the Incident Radiation Field with Machine Learning

Kavli Affiliate: Nickolay Y. Gnedin | First 5 Authors: David Robinson, Camille Avestruz, Nickolay Y. Gnedin, , | Summary: Gas cooling and heating functions play a crucial role in galaxy formation. But, it is computationally expensive to exactly compute these functions in the presence of an incident radiation field. These computations can be greatly sped […]


Continue.. Exploring the Dependence of Gas Cooling and Heating Functions on the Incident Radiation Field with Machine Learning

Exploring the Dependence of Gas Cooling and Heating Functions on the Incident Radiation Field with Machine Learning

Kavli Affiliate: Nickolay Y. Gnedin | First 5 Authors: David Robinson, Camille Avestruz, Nickolay Y. Gnedin, , | Summary: Gas cooling and heating functions play a crucial role in galaxy formation. But, it is computationally expensive to exactly compute these functions in the presence of an incident radiation field. These computations can be greatly sped […]


Continue.. Exploring the Dependence of Gas Cooling and Heating Functions on the Incident Radiation Field with Machine Learning

Modelling Stochastic Star Formation History of Dwarf Galaxies in GRUMPY

Kavli Affiliate: Andrey Kravtsov | First 5 Authors: Yue Pan, Andrey Kravtsov, , , | Summary: We investigate the impact of bursty star formation on several galaxy scaling relations of dwarf galaxies using the $texttt{GRUMPY}$ galaxy formation model. While this model reproduces the star formation rate (SFR)-stellar mass, stellar mass-gas mass, and stellar mass-metallicity relations, […]


Continue.. Modelling Stochastic Star Formation History of Dwarf Galaxies in GRUMPY

Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method

Kavli Affiliate: Wei Gao | First 5 Authors: Xuan Zhang, Wei Gao, , , | Summary: While large pre-trained language models (LLMs) have shown their impressive capabilities in various NLP tasks, they are still under-explored in the misinformation domain. In this paper, we examine LLMs with in-context learning (ICL) for news claim verification, and find […]


Continue.. Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method