Parameterizing black hole orbits for adiabatic inspiral

Kavli Affiliate: Scott A. Hughes | First 5 Authors: Scott A. Hughes, , , , | Summary: Adiabatic binary inspiral in the small mass ratio limit treats the small body as moving along a geodesic of a large Kerr black hole, with the geodesic slowly evolving due to radiative backreaction. Up to initial conditions, geodesics […]


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Quantifying the escape of Ly$α$ at $zapprox 5-6$: a census of Ly$α$ escape fraction with H$α$ emitting galaxies spectroscopically confirmed by JWST and VLT/MUSE

Kavli Affiliate: Linhua Jiang | First 5 Authors: Xiaojing Lin, Zheng Cai, Yunjing Wu, Zihao Li, Fengwu Sun | Summary: JWST provides an unprecedented opportunity for unbiased surveys of H$alpha$-emitting galaxies at $z>4$ with the NIRCam wide-field slitless spectroscopy (WFSS). In this work, we present a census of Ly$alpha$ escape fraction ($f_{esc, Lyalpha}$) of 165 […]


Continue.. Quantifying the escape of Ly$α$ at $zapprox 5-6$: a census of Ly$α$ escape fraction with H$α$ emitting galaxies spectroscopically confirmed by JWST and VLT/MUSE

Quantifying the escape of Ly$α$ at $zapprox 5-6$: a census of Ly$α$ escape fraction with H$α$ emitting galaxies spectroscopically confirmed by JWST and VLT/MUSE

Kavli Affiliate: Linhua Jiang | First 5 Authors: Xiaojing Lin, Zheng Cai, Yunjing Wu, Zihao Li, Fengwu Sun | Summary: JWST provides an unprecedented opportunity for unbiased surveys of H$alpha$-emitting galaxies at $z>4$ with the NIRCam wide-field slitless spectroscopy (WFSS). In this work, we present a census of Ly$alpha$ escape fraction ($f_{esc, Lyalpha}$) of 165 […]


Continue.. Quantifying the escape of Ly$α$ at $zapprox 5-6$: a census of Ly$α$ escape fraction with H$α$ emitting galaxies spectroscopically confirmed by JWST and VLT/MUSE

Uncertainty-aware No-Reference Point Cloud Quality Assessment

Kavli Affiliate: Wei Gao | First 5 Authors: Songlin Fan, Zixuan Guo, Wei Gao, Ge Li, | Summary: The evolution of compression and enhancement algorithms necessitates an accurate quality assessment for point clouds. Previous works consistently regard point cloud quality assessment (PCQA) as a MOS regression problem and devise a deterministic mapping, ignoring the stochasticity […]


Continue.. Uncertainty-aware No-Reference Point Cloud Quality Assessment