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- The University of TokyoJP154 papers
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456 papers
Maximum Likelihood and Bayesian Estimation for State-Space Models Using the Non-Gaussian Filter
Genshiro Kitagawa
The non-Gaussian filter provides a deterministic numerical method for nonlinear and non-Gaussian state-space models, but its application has long been limited due to the computatio…
Revisiting Marked Galaxy Clustering from a Joint Point Process Perspective
Tsutomu T. Takeuchi
Marked correlation functions, in which galaxy properties such as luminosity or stellar mass are treated as marks, are widely used to test models of galaxy formation. In astronomy,…
Probabilistic Graphical Model using Graph Neural Networks for Bayesian Inversion of Discrete Structural Component States
Teng Li, Stephen Wu, Yong Huang +2
The health condition of components in civil infrastructures can be described by various discrete states according to their performance degradation. Inferring these states from meas…
Resolving the Dust Budget Crisis at with Optically Thick, High-Density Molecular Clumps: MACS0416_Y1
Ryusei R. Kano, Tsutomu T. Takeuchi, Erina R. Kawamoto +3
Dust plays a crucial role in galaxy evolution by shaping the spectral energy distribution (SED) and star formation history. However, standard models often underestimate the infrare…
Full-polarization millimeter wavelength variability of Sagittarius A* during the 2018 EHT campaign
Ezequiel Albentosa-Ruiz, Jasmin E. Washington, Nicola Marchili +272
Sagittarius A* (Srg A*), the supermassive black hole at the center of the Milky Way, provides a unique laboratory to study accretion dynamics and plasma processes near the event ho…
Joint State-and-Dynamics Inference for Galaxy Population Evolution on an Effective Manifold
Tsutomu T. Takeuchi, Ryusei R. Kano
Galaxy surveys provide noisy, incomplete, selection-affected population snapshots rather than complete evolutionary histories. We formulate galaxy evolution as joint inference of e…