Gravitational wave surrogate model for spinning, intermediate mass ratio binaries based on perturbation theory and numerical relativity

Kavli Affiliate: Scott A. Hughes | Summary:We present BHPTNRSur2dq1e3, a reduced order surrogate model of gravitational waves emitted from binary black hole (BBH) systems in the comparable to large mass ratio regime with aligned spin ($χ_1$) on the heavier mass ($m_1$). We trained this model on waveform data generated from point particle black hole perturbation […]


Continue.. Gravitational wave surrogate model for spinning, intermediate mass ratio binaries based on perturbation theory and numerical relativity

Gravitational wave surrogate model for spinning, intermediate mass ratio binaries based on perturbation theory and numerical relativity

Kavli Affiliate: Scott A. Hughes | Summary:We present BHPTNRSur2dq1e3, a reduced order surrogate model of gravitational waves emitted from binary black hole (BBH) systems in the comparable to large mass ratio regime with aligned spin ($χ_1$) on the heavier mass ($m_1$). We trained this model on waveform data generated from point particle black hole perturbation […]


Continue.. Gravitational wave surrogate model for spinning, intermediate mass ratio binaries based on perturbation theory and numerical relativity

BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Bingxin Ke, Hayko Riemenschneider, Nando Metzger, Anton Obukhov | Summary: By training over large-scale datasets, zero-shot monocular depth estimation (MDE) methods show robust performance in the wild but often suffer from insufficiently precise details. Although recent diffusion-based MDE approaches exhibit appealing detail extraction ability, they […]


Continue.. BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation

BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Bingxin Ke, Hayko Riemenschneider, Nando Metzger, Anton Obukhov | Summary: By training over large-scale datasets, zero-shot monocular depth estimation (MDE) methods show robust performance in the wild but often suffer from insufficient detail. Although recent diffusion-based MDE approaches exhibit a superior ability to extract details, […]


Continue.. BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation

The DAMIC-M Low Background Chamber

Kavli Affiliate: Radomir Smida | Summary:The DArk Matter In CCDs at Modane (DAMIC-M) experiment is designed to search for light dark matter (m$_χ$<10,GeV/c$^2$) at the Laboratoire Souterrain de Modane (LSM) in France. DAMIC-M will use skipper charge-coupled devices (CCDs) as a kg-scale active detector target. Its single-electron resolution will enable eV-scale energy thresholds and thus […]


Continue.. The DAMIC-M Low Background Chamber

UMono: Physical Model Informed Hybrid CNN-Transformer Framework for Underwater Monocular Depth Estimation

Kavli Affiliate: Jing Wang | First 5 Authors: Jian Wang, Jing Wang, Shenghui Rong, Bo He, | Summary: Underwater monocular depth estimation serves as the foundation for tasks such as 3D reconstruction of underwater scenes. However, due to the influence of light and medium, the underwater environment undergoes a distinctive imaging process, which presents challenges […]


Continue.. UMono: Physical Model Informed Hybrid CNN-Transformer Framework for Underwater Monocular Depth Estimation

UMono: Physical Model Informed Hybrid CNN-Transformer Framework for Underwater Monocular Depth Estimation

Kavli Affiliate: Jing Wang | First 5 Authors: Jian Wang, Jing Wang, Shenghui Rong, Bo He, | Summary: Underwater monocular depth estimation serves as the foundation for tasks such as 3D reconstruction of underwater scenes. However, due to the influence of light and medium, the underwater environment undergoes a distinctive imaging process, which presents challenges […]


Continue.. UMono: Physical Model Informed Hybrid CNN-Transformer Framework for Underwater Monocular Depth Estimation

ACACIAS I: Element abundance labels for 192 stars in the dwarf galaxy NGC 6822

Kavli Affiliate: Alexander P. Ji | First 5 Authors: Melissa K. Ness, J. Trevor Mendel, Sven Buder, Adam Wheeler, Alexander P. Ji | Summary: The element abundances of local group galaxies connect enrichment mechanisms to galactic properties and serve to contextualise the Milky Way’s abundance distributions. Individual stellar spectra in nearby galaxies can be extracted […]


Continue.. ACACIAS I: Element abundance labels for 192 stars in the dwarf galaxy NGC 6822

A nuclear RNA degradation code for eukaryotic transcriptome surveillance

Kavli Affiliate: Angela Yu | Authors: Lindsey V Soles, Liang Liu, Xudong Zou, Yoseop Yoon, Shuangyu Li, Lusong Tian, Marielle Valdez, Angela Yu, Hong Yin, Wei Li, Fangyuan Ding, Georg Seelig, Lei Li and Yongsheng Shi | Summary: The RNA exosome plays critical roles in eukaryotic RNA degradation, but it remains unclear how the exosome […]


Continue.. A nuclear RNA degradation code for eukaryotic transcriptome surveillance

Population responses to environmental stochasticity are primarily driven by survival-reproduction trade-offs and mediated by aridity

Kavli Affiliate: Gabriel Silva | Authors: Gabriel Silva Santos, Xianyu Yang, Samuel Gascoigne, Aldo Compagnoni, Andre Dias, Shripad D Tuljapurkar, Maja Kajin and Roberto Salguero-Gomez | Summary: Forecasting responses of natural populations to increasingly stochastic environments is a major challenge in Ecology and Conservation Biology. We now know that populations can modulate how their vital […]


Continue.. Population responses to environmental stochasticity are primarily driven by survival-reproduction trade-offs and mediated by aridity