Influence of planets on debris discs in star clusters — II. The impact of stellar density
Kavli Affiliate: Rainer Spurzem | First 5 Authors: Kai Wu, M. B. N. Kouwenhoven, Francesco Flammini Dotti, Rainer Spurzem, | Summary: We present numerical simulations of planetary systems in star clusters with different initial stellar densities, to investigate the impact of the density on debris disc dynamics. We use LPS+ to combine N-body codes NBODY6++GPU […]
Continue.. Influence of planets on debris discs in star clusters — II. The impact of stellar density
Gravitational wave ringdown analysis using the $mathcal{F}$-statistic
Kavli Affiliate: Lijing Shao | First 5 Authors: Hai-Tian Wang, Garvin Yim, Xian Chen, Lijing Shao, | Summary: After the final stage of the merger of two black holes, the ringdown signal takes an important role on providing information about the gravitational dynamics in strong field. We introduce a novel time-domain (TD) approach, predicated on […]
Continue.. Gravitational wave ringdown analysis using the $mathcal{F}$-statistic
Discovering Dark Matter with the MUonE Experiment
Kavli Affiliate: Gordan Krnjaic | First 5 Authors: Gordan Krnjaic, Duncan Rocha, Isaac R. Wang, , | Summary: The MUonE experiment aims to extract the hardonic contribution the muon anomalous magnetic moment from a precise measurement of the muon-electron differential scattering cross section. We show that MUonE can also discover thermal relic dark matter using […]
Continue.. Discovering Dark Matter with the MUonE Experiment
Discovering Dark Matter with the MUonE Experiment
Discovering Dark Matter with the MUonE Experiment
Kavli Affiliate: Gordan Krnjaic | First 5 Authors: Gordan Krnjaic, Duncan Rocha, Isaac R. Wang, , | Summary: The MUonE experiment aims to extract the hadronic contribution to the muon anomalous magnetic moment from a precise measurement of the muon-electron differential scattering cross section. We show that MUonE can also discover thermal relic dark matter […]
Continue.. Discovering Dark Matter with the MUonE Experiment
Broad-line Region of the Quasar PG 2130+099. II. Doubling the Size Over Four Years?
Kavli Affiliate: Luis C. Ho | First 5 Authors: Zhu-Heng Yao, Sen Yang, Wei-Jian Guo, Yong-Jie Chen, Yu-Yang Songsheng | Summary: Over the past three decades, multiple reverberation mapping (RM) campaigns conducted for the quasar PG 2130+099 have exhibited inconsistent findings with time delays ranging from $sim$10 to $sim$200 days. To achieve a comprehensive understanding […]
Continue.. Broad-line Region of the Quasar PG 2130+099. II. Doubling the Size Over Four Years?
VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters
Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun | Summary: Foundation models have emerged as a promising approach in time series forecasting (TSF). Existing approaches either fine-tune large language models (LLMs) or build large-scale time-series datasets to develop TSF foundation models. However, these methods […]
Continue.. VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters
VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters
Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun | Summary: Foundation models have emerged as a promising approach in time series forecasting (TSF). Existing approaches either repurpose large language models (LLMs) or build large-scale time series datasets to develop TSF foundation models for universal […]
Continue.. VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters
VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters
Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun | Summary: Foundation models have emerged as a promising approach in time series forecasting (TSF). Existing approaches either repurpose large language models (LLMs) or build large-scale time series datasets to develop TSF foundation models for universal […]
Continue.. VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters