Astrometric Redshifts of Supernovae

Kavli Affiliate: Richard Kessler | First 5 Authors: Jaemyoung Jason Lee, Masao Sako, Richard Kessler, Alex I. Malz, The LSST Dark Energy Science Collaboration | Summary: Differential Chromatic Refraction (DCR) is caused by the wavelength dependence of our atmosphere’s refractive index, which shifts the apparent positions of stars and galaxies and distorts their shapes depending […]


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Probability of Presence Versus $ψ(x,t)^* ψ(x, t)$

Kavli Affiliate: Frank Wilczek | First 5 Authors: Frank Wilczek, Zara Yu, , , | Summary: Postulating the identification of $psi^*(x, t) psi(x,t)$ with a physical probability density is unsatisfactory conceptually and overly limited practically. For electrons, there is a simple, calculable relativistic correction proportional to $nabla psi^* cdot nabla psi$. In particular, zeroes of […]


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OptPDE: Discovering Novel Integrable Systems via AI-Human Collaboration

Kavli Affiliate: Max Tegmark | First 5 Authors: Subhash Kantamneni, Ziming Liu, Max Tegmark, , | Summary: Integrable partial differential equation (PDE) systems are of great interest in natural science, but are exceedingly rare and difficult to discover. To solve this, we introduce OptPDE, a first-of-its-kind machine learning approach that Optimizes PDEs’ coefficients to maximize […]


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Very Long Baseline Array Observations of Parsec-scale Radio Emission in Dual Active Galactic Nuclei

Kavli Affiliate: Luis C. Ho | First 5 Authors: Wancheng Xu, Lang Cui, Xiang Liu, Tao An, Hongmin Cao | Summary: It is believed that dual active galactic nuclei (dual AGN) will form during galaxies merge. Studying dual-AGN emission can provide valuable insights into galaxy merging and evolution. To investigate parsec-scale radio emission properties, we […]


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Extracting parity-violating gravitational waves from projected tidal force tensor in three dimensions

Kavli Affiliate: Misao Sasaki | First 5 Authors: Teppei Okumura, Misao Sasaki, , , | Summary: Gravitational waves (GWs) may be produced by various mechanisms in the early universe. In particular, if parity is violated, it may lead to the production of parity-violating GWs. In this paper, we focus on GWs on the scale of […]


Continue.. Extracting parity-violating gravitational waves from projected tidal force tensor in three dimensions

Extracting parity-violating gravitational waves from projected tidal force tensor in three dimensions

Kavli Affiliate: Misao Sasaki | First 5 Authors: Teppei Okumura, Misao Sasaki, , , | Summary: Gravitational waves (GWs) may be produced by various mechanisms in the early universe. In particular, if parity is violated, it may lead to the production of parity-violating GWs. In this paper, we focus on GWs on the scale of […]


Continue.. Extracting parity-violating gravitational waves from projected tidal force tensor in three dimensions

Large Scale Overdensity of Lyman Break Galaxies Around the z=6.3 Ultraluminous Quasar J0100+2802

Kavli Affiliate: Linhua Jiang | First 5 Authors: Maria Pudoka, Feige Wang, Xiaohui Fan, Jinyi Yang, Jaclyn Champagne | Summary: We study the environment of the z=6.33 ultraluminous quasar SDSS J010013.02+280225.8 (J0100) to understand its association with large-scale structure. Theoretical models propose high-redshift quasars as markers of galaxy overdensities residing in the most massive dark […]


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Feedback mechanisms stopping the star formation in a pair of massive galaxies in the early Universe

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Pablo G. Pérez-González, Francesco D`Eugenio, Bruno Rodríguez del Pino, Hannah Übler, Roberto Maiolino | Summary: Feedback is the key physical mechanism regulating galaxy formation. Stars in galaxies form when baryons radiatively cool down and fall into gravitational wells. Eventually, star formation quenches as gas is depleted and/or […]


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Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning

Kavli Affiliate: Jia Liu | First 5 Authors: Tianchen Zhou, FNU Hairi, Haibo Yang, Jia Liu, Tian Tong | Summary: Reinforcement learning with multiple, potentially conflicting objectives is pervasive in real-world applications, while this problem remains theoretically under-explored. This paper tackles the multi-objective reinforcement learning (MORL) problem and introduces an innovative actor-critic algorithm named MOAC […]


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