Polarisation of magnetospheric curvature radiation in repeating fast radio bursts

Kavli Affiliate: Kejia Lee | First 5 Authors: Wei-Yang Wang, Jin-Chen Jiang, Kejia Lee, Renxin Xu, Bing Zhang | Summary: Fast radio busts (FRBs) can exhibit a wide variety of polarisation properties, not only between sources but also from burst to burst for a same one. In this work, we revisit the polarisation characters of […]


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Unweighted estimation based on optimal sample under measurement constraints

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, HaiYing Wang, Shifeng Xiong, , | Summary: To tackle massive data, subsampling is a practical approach to select the more informative data points. However, when responses are expensive to measure, developing efficient subsampling schemes is challenging, and an optimal sampling approach under measurement constraints was […]


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VLBA reveals the absence of a compact radio core in the radio intermediate quasar J2242+0334 at z =5.9

Kavli Affiliate: Ran Wang | First 5 Authors: Yuanqi Liu, Ran Wang, Emmanuel Momjian, Yingkang Zhang, Tao An | Summary: High-resolution imaging is crucial for exploring the origin and mechanism of radio emission in quasars, especially at high redshifts. We present 1.5 GHz Very Long Baseline Array (VLBA) images of the radio continuum emission from […]


Continue.. VLBA reveals the absence of a compact radio core in the radio intermediate quasar J2242+0334 at z =5.9

Eccentricity to the rescue! Detecting Accelerating Eccentric Binaries in the LISA Band

Kavli Affiliate: Xian Chen | First 5 Authors: Zeyuan Xuan, Smadar Naoz, Xian Chen, , | Summary: Many gravitational wave (GW) sources in the LISA band are expected to have non-negligible eccentricity. Furthermore, many of them can undergo acceleration because they reside in the presence of a tertiary. Here we develop analytical and numerical methods […]


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Observational Constrains on Direct Electron Heating in Hot Accretion Flows from Sgr A* and M87*

Kavli Affiliate: Feng Yuan | First 5 Authors: Fu-Guo Xie, Ramesh Narayan, Feng Yuan, , | Summary: An important parameter in the theory of hot accretion flows around black holes is $delta$, which describes the fraction of “viscously” dissipated energy in the accretion flow that directly heats the electrons. The radiative efficiency of a hot […]


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CLAD: A Contrastive Learning based Approach for Background Debiasing

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Harshitha Machiraju, Oh-Hyeon Choung, Michael Herzog, Pascal Frossard | Summary: Convolutional neural networks (CNNs) have achieved superhuman performance in multiple vision tasks, especially image classification. However, unlike humans, CNNs leverage spurious features, such as background information to make decisions. This tendency creates different problems in […]


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OGLE-BLG504.12.201843: A possible extreme dwarf nova

Kavli Affiliate: Subo Dong | First 5 Authors: Camille Landri, Ondřej Pejcha, Michał Pawlak, Andrzej Udalski, Jose L. Prieto | Summary: We present the analysis of existing optical photometry and new optical spectroscopy of the candidate cataclysmic variable star OGLE-BLG504.12.201843. As was shown previously, this object has an orbital period of 0.523419 days and exhibits […]


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Uncertainty estimations methods for a deep learning model to aid in clinical decision-making — a clinician’s perspective

Kavli Affiliate: Jing Wang | First 5 Authors: Michael Dohopolski, Kai Wang, Biling Wang, Ti Bai, Dan Nguyen | Summary: Prediction uncertainty estimation has clinical significance as it can potentially quantify prediction reliability. Clinicians may trust ‘blackbox’ models more if robust reliability information is available, which may lead to more models being adopted into clinical […]


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Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers

Kavli Affiliate: Jing Wang | First 5 Authors: Kai Wang, Yunxiang Li, Michael Dohopolski, Tao Peng, Weiguo Lu | Summary: For Head and Neck Cancers (HNC) patient management, automatic gross tumor volume (GTV) segmentation and accurate pre-treatment cancer recurrence prediction are of great importance to assist physicians in designing personalized management plans, which have the […]


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Replicating Persistent Memory Key-Value Stores with Efficient RDMA Abstraction

Kavli Affiliate: Jing Wang | First 5 Authors: Qing Wang, Youyou Lu, Jing Wang, Jiwu Shu, | Summary: Combining persistent memory (PM) with RDMA is a promising approach to performant replicated distributed key-value stores (KVSs). However, existing replication approaches do not work well when applied to PM KVSs: 1) Using RPC induces software queueing and […]


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