The Fast and the Frame-Dragging: Efficient waveforms for asymmetric-mass eccentric equatorial inspirals into rapidly-spinning black holes

Kavli Affiliate: Scott A. Hughes | First 5 Authors: Christian E. A. Chapman-Bird, Lorenzo Speri, Zachary Nasipak, Ollie Burke, Michael L. Katz | Summary: Observations of gravitational-wave signals emitted by compact binary inspirals provide unique insights into their properties, but their analysis requires accurate and efficient waveform models. Intermediate- and extreme-mass-ratio inspirals (I/EMRIs), with mass […]


Continue.. The Fast and the Frame-Dragging: Efficient waveforms for asymmetric-mass eccentric equatorial inspirals into rapidly-spinning black holes

Ferroelectric control of bipolar magnetic semiconductor with room Curie temperature

Kavli Affiliate: Gang Su | First 5 Authors: Jia-Wen Li, Gang Su, Bo Gu, , | Summary: The development of room-temperature tunable magnetic semiconductors is crucial for the advancement of low-power, high-performance information technologies. Using density functional theory calculations, we propose a series of two-dimensional magnetic semiconductors with critical temperature above room temperature, including three […]


Continue.. Ferroelectric control of bipolar magnetic semiconductor with room Curie temperature

Delving into the depths of NGC 3783 with XRISM. I. Kinematic and ionization structure of the highly ionized outflows

Kavli Affiliate: Erin Kara | First 5 Authors: Missagh Mehdipour, Jelle S. Kaastra, Megan E. Eckart, Liyi Gu, Ralf Ballhausen | Summary: We present our study of the XRISM observation of the Seyfert-1 galaxy NGC 3783. For the first time, XRISM’s Resolve microcalorimeter enables a detailed characterization of the highly ionized outflows in this active […]


Continue.. Delving into the depths of NGC 3783 with XRISM. I. Kinematic and ionization structure of the highly ionized outflows

Analysis of Anonymous User Interaction Relationships and Prediction of Advertising Feedback Based on Graph Neural Network

Kavli Affiliate: Feng Yuan | First 5 Authors: Yanjun Dai, Haoyang Feng, Yuan Gao, , | Summary: While online advertising is highly dependent on implicit interaction networks of anonymous users for engagement inference, and for the selection and optimization of delivery strategies, existing graph models seldom can capture the multi-scale temporal, semantic and higher-order dependency […]


Continue.. Analysis of Anonymous User Interaction Relationships and Prediction of Advertising Feedback Based on Graph Neural Network

Dynamics of low-mass black hole seeds in the BRAHMA simulations using subgrid-dynamical friction: Impact on merger-driven black hole growth in the high redshift Universe

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Aklant K. Bhowmick, Laura Blecha, Luke Z. Kelley, Aneesh Sivasankaran, Paul Torrey | Summary: We analyze the dynamics of low-mass black hole (BH) seeds in the high-redshift ($zgtrsim5$) Universe using a suite of $[4.5~mathrm{Mpc}]^3$ and $[9~mathrm{Mpc}]^3$ BRAHMA cosmological hydrodynamic simulations. The simulations form seeds with mass $M_{mathrm{seed}}=2.2times10^3~M_{odot}$ […]


Continue.. Dynamics of low-mass black hole seeds in the BRAHMA simulations using subgrid-dynamical friction: Impact on merger-driven black hole growth in the high redshift Universe

Mitigating antenna gain errors with HyFoReS in CHIME simulations

Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: Haochen Wang, Panupong Phoompuang, Kiyoshi W. Masui, Arnab Chakraborty, Simon Foreman | Summary: Hybrid Foreground Residual Subtraction (HyFoReS) is a new family of algorithms designed to remove systematics-induced foreground contamination for 21-cm intensity mapping data. Previously, the algorithm was shown to be effective in mitigating beam […]


Continue.. Mitigating antenna gain errors with HyFoReS in CHIME simulations

Enhancing quantum noise characterization via extra energy levels

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Senrui Chen, Akel Hashim, Noah Goss, Alireza Seif, Irfan Siddiqi | Summary: Noise is a major challenge for building practical quantum computing systems. Precise characterization of quantum noise is crucial for developing effective error mitigation and correction schemes. However, state preparation and measurement (SPAM) errors on many […]


Continue.. Enhancing quantum noise characterization via extra energy levels

MagCache: Fast Video Generation with Magnitude-Aware Cache

Kavli Affiliate: Feng Wang | First 5 Authors: Zehong Ma, Longhui Wei, Feng Wang, Shiliang Zhang, Qi Tian | Summary: Existing acceleration techniques for video diffusion models often rely on uniform heuristics or time-embedding variants to skip timesteps and reuse cached features. These approaches typically require extensive calibration with curated prompts and risk inconsistent outputs […]


Continue.. MagCache: Fast Video Generation with Magnitude-Aware Cache

Measurement of the Dispersion$unicode{x2013}$Galaxy Cross-Power Spectrum with the Second CHIME/FRB Catalog

Kavli Affiliate: Kiyoshi Masui | First 5 Authors: Haochen Wang, Kiyoshi Masui, Shion Andrew, Emmanuel Fonseca, B. M. Gaensler | Summary: The dispersion of extragalactic fast radio bursts (FRBs) can serve as a powerful probe of the diffuse plasma between and surrounding galaxies, which contains most of the Universe’s baryons. By cross-correlating the dispersion of […]


Continue.. Measurement of the Dispersion$unicode{x2013}$Galaxy Cross-Power Spectrum with the Second CHIME/FRB Catalog

Identifying vortex lattice in type-II superconductors via the dynamic magnetostrictive effect

Kavli Affiliate: Long Zhang | First 5 Authors: Peipei Lu, Mengju Yuan, Jing Zhang, Qiang Gao, Shuang Liu | Summary: In type-I superconductors, zero electrical resistivity and perfect diamagnetism define two fundamental criteria for superconducting behavior. In contrast, type-II superconductors exhibit more complex mixed-state physics, where magnetic flux penetrates the material above the lower critical […]


Continue.. Identifying vortex lattice in type-II superconductors via the dynamic magnetostrictive effect