Kavli Affiliate: Linhua Jiang | Summary:James Webb Space Telescope (JWST) has uncovered a new population of compact objects that show a unique V-shaped spectral energy distribution (SED) in the UV and optical wavelength range. These so-called "little red dots" (LRDs) often exhibit broad Balmer emission lines, indicative of the presence of active galactic nuclei (AGNs). […]
Kavli Affiliate: Linhua Jiang | Summary:We report the discovery of two broad-line X-ray AGNs cid_414 and cid_947 at z~3 that exhibit prominent He I$λ$10830+ Pa$γ$ emission and absorption, identified from the JWST Cycle 3 large GO treasury program COSMOS-3D using NIRCam F444W grism spectroscopy. Additional UV/optical line measurements (e.g., Ly$α$, Si IV, C IV) come […]
Kavli Affiliate: Nickolay Gnedin | Summary:The "Reduced Speed of Light" (RSL) approximation is commonly used to speed up radiative transfer calculations in cosmological simulations. However, it has been shown previously that the RSL approximation leads to photon non-conservation in some regimes. I show that these missing photons can be counted exactly for some numerical schemes. […]
Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Multi-view camera systems enable rich observations of complex real-world scenes, and understanding dynamic objects in multi-view settings has become central to various applications. In this work, we present MV-TAP, a novel point tracker that tracks points across multi-view videos of dynamic scenes […]
Kavli Affiliate: Michael Gladders | Summary:We present NIRSpec/IFS observations of a rest-frame UV-bright, massive ($M_* sim 10^10$ M$_odot$, $z_AB=20.5$) galaxy highly magnified by gravitational-lensing observed just after the end of the epoch of reionization ($z=5.04$, $barμsim90$). With JWST accessing the restframe UV and optical spectrum of this galaxy with high fidelity, we classify this UV-bright […]
Kavli Affiliate: Matthew Fisher | Summary:Bayesian inference is optimal when the statistical model is well-specified, while outside this setting Bayesian inference can catastrophically fail; accordingly a wealth of post-Bayesian methodologies have been proposed. Predictively oriented (PrO) approaches lift the statistical model $P_θ$ to an (infinite) mixture model $int P_θ; mathrmdQ(θ)$ and fit this predictive distribution […]
Kavli Affiliate: Matthew Fisher | Summary:Bayesian inference is optimal when the statistical model is well-specified, while outside this setting Bayesian inference can catastrophically fail; accordingly a wealth of post-Bayesian methodologies have been proposed. Predictively oriented (PrO) approaches lift the statistical model $P_θ$ to an (infinite) mixture model $int P_θ; mathrmdQ(θ)$ and fit this predictive distribution […]
Kavli Affiliate: Matthew Fisher | Summary:Bayesian inference is optimal when the statistical model is well-specified, while outside this setting Bayesian inference can catastrophically fail; accordingly a wealth of post-Bayesian methodologies have been proposed. Predictively oriented (PrO) approaches lift the statistical model $P_θ$ to an (infinite) mixture model $int P_θ; mathrmdQ(θ)$ and fit this predictive distribution […]
Kavli Affiliate: Matthew Fisher | Summary:Bayesian inference is optimal when the statistical model is well-specified, while outside this setting Bayesian inference can catastrophically fail; accordingly a wealth of post-Bayesian methodologies have been proposed. Predictively oriented (PrO) approaches lift the statistical model $P_θ$ to an (infinite) mixture model $int P_θ; mathrmdQ(θ)$ and fit this predictive distribution […]
Kavli Affiliate: Matthew Fisher | Summary:Bayesian inference is optimal when the statistical model is well-specified, while outside this setting Bayesian inference can catastrophically fail; accordingly a wealth of post-Bayesian methodologies have been proposed. Predictively oriented (PrO) approaches lift the statistical model $P_θ$ to an (infinite) mixture model $int P_θ; mathrmdQ(θ)$ and fit this predictive distribution […]