Targeting 100-PeV tau neutrino detection with an array of phased and high-gain reconstruction antennas

Kavli Affiliate: Cosmin Deaconu | First 5 Authors: Stephanie Wissel, Andrew Zeolla, Cosmin Deaconu, Valentin Decoene, Kaeli Hughes | Summary: Neutrinos at ultrahigh energies can originate both from interactions of cosmic rays at their acceleration sites and through cosmic-ray interactions as they propagate through the universe. These neutrinos are expected to have a low flux […]


Continue.. Targeting 100-PeV tau neutrino detection with an array of phased and high-gain reconstruction antennas

Fragments of harmony amid apparent chaos: a closer look at the X-ray quasi-periodic eruptions of the galaxy RX J1301.9+2747

Kavli Affiliate: Erin Kara | First 5 Authors: Margherita Giustini, Giovanni Miniutti, Riccardo Arcodia, Adelle Goodwin, Kate D. Alexander | Summary: Quasi-periodic eruptions (QPEs) are an extreme X-ray variability phenomenon associated with low-mass supermassive black holes. First discovered in the nucleus of the galaxy GSN 069, they have been so far securely detected in five […]


Continue.. Fragments of harmony amid apparent chaos: a closer look at the X-ray quasi-periodic eruptions of the galaxy RX J1301.9+2747

The Formation of Milky Way “Bones”: Ubiquitous HI Narrow Self-Absorption Associated with CO Emission

Kavli Affiliate: Ke Wang | First 5 Authors: Shenglan Sun, Ke Wang, Xunchuan Liu, Fengwei Xu, | Summary: Long and skinny molecular filaments running along Galactic spiral arms are known as "bones", since they make up the skeleton of the Milky Way. However, their origin is still an open question. Here, we compare spectral images […]


Continue.. The Formation of Milky Way “Bones”: Ubiquitous HI Narrow Self-Absorption Associated with CO Emission

A Low-Temperature Tunable Microcavity featuring High Passive Stability and Microwave Integration

Kavli Affiliate: Ronald Hanson | First 5 Authors: Yanik Herrmann, Julius Fischer, Stijn Scheijen, Cornelis F. J. Wolfs, Julia M. Brevoord | Summary: Open microcavities offer great potential for the exploration and utilization of efficient spin-photon interfaces with Purcell-enhanced quantum emitters thanks to their large spectral and spatial tunability combined with high versatility of sample […]


Continue.. A Low-Temperature Tunable Microcavity featuring High Passive Stability and Microwave Integration

A Low-Temperature Tunable Microcavity featuring High Passive Stability and Microwave Integration

Kavli Affiliate: Ronald Hanson | First 5 Authors: Yanik Herrmann, Julius Fischer, Stijn Scheijen, Cornelis F. J. Wolfs, Julia M. Brevoord | Summary: Open microcavities offer great potential for the exploration and utilization of efficient spin-photon interfaces with Purcell-enhanced quantum emitters thanks to their large spectral and spatial tunability combined with high versatility of sample […]


Continue.. A Low-Temperature Tunable Microcavity featuring High Passive Stability and Microwave Integration

Pureformer-VC: Non-parallel One-Shot Voice Conversion with Pure Transformer Blocks and Triplet Discriminative Training

Kavli Affiliate: Jia Liu | First 5 Authors: Wenhan Yao, Zedong Xing, Xiarun Chen, Jia Liu, Yongqiang He | Summary: One-shot voice conversion(VC) aims to change the timbre of any source speech to match that of the target speaker with only one speech sample. Existing style transfer-based VC methods relied on speech representation disentanglement and […]


Continue.. Pureformer-VC: Non-parallel One-Shot Voice Conversion with Pure Transformer Blocks and Triplet Discriminative Training

Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Yuhao Du, Jinpeng Hu, Xiang Wan, Anningzhe Gao | Summary: Large language models (LLMs) have shown success in generating high-quality responses. In order to achieve better alignment with LLMs with human preference, various works are proposed based on specific optimization process, which, however, is not […]


Continue.. Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs