The Multi-phase HI of the Milky Way and Nearby Galaxies

Kavli Affiliate: Susan Clark | Summary:Atomic hydrogen (HI) is the dominant baryonic component of the interstellar medium (ISM) in Milky Way-like galaxies and the reservoir from which molecular clouds and stars ultimately form. The condensation of diffuse HI into cold structures is governed by a complex interplay between radiative cooling, turbulence, magnetic fields, stellar feedback, […]


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BFMTrack: Latent Sequence Optimization for Physics-Based Motion Tracking with Behavioral Foundation Models

Kavli Affiliate: David Muller | Summary:Behavioral Foundation Models (BFMs) offer a promising path toward universal physics-based character control by organizing a rich repertoire of physically plausible behaviors into a latent space, guided by a large-scale motion dataset. While these models excel at time-invariant tasks, such as goal-reaching and state-based reward optimization, their latent space does […]


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Cosmological gravitational particle production in multifield inflation

Kavli Affiliate: Edward Kolb | Summary:We study cosmological gravitational particle production (CGPP) of dark matter in two-field inflationary backgrounds with both flat and curved field-space geometries. As a concrete realization of broader multifield mechanisms, we adopt a Starobinsky+quadratic potential and construct benchmark scenarios that interpolate between the flat field-space limit and the sidetracked attractor on […]


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Measuring Magnetic Fields Near and Far with the SKA via the Zeeman Effect

Kavli Affiliate: Susan Clark | Summary:Zeeman splitting in spectral lines — both in emission and absorption — provides direct estimates of magnetic field strength and direction in magnetized gas in our own Milky Way and in external galaxies. We discuss the potential for using the Square Kilometre Array (SKA) to measure the Zeeman effect in […]


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Coupled atmospHere Interior modeL Intercomparison (CHILI). I. Evolutionary Modelling — Primordial Magma Oceans of Earth and Venus

Kavli Affiliate: Laura Schaefer | Summary:Earth and Venus represent two evolutionary outcomes arising from initially molten ‘magma ocean’ periods, followed by lifetimes of chemical and geophysical divergence. Their physics is common to all rocky planets and is accessible to simulations that adopt coupled interior-atmosphere modelling approaches. Our understanding of planet histories and interpretation of current […]


Continue.. Coupled atmospHere Interior modeL Intercomparison (CHILI). I. Evolutionary Modelling — Primordial Magma Oceans of Earth and Venus

Kepler Image-Subtracted Light Curves and Variable Star Catalog of NGC 6819

Kavli Affiliate: Andrew Vanderburg | Summary:Variable stars in open clusters are valuable probes of stellar evolution. They provide precise measurements of stellar properties, constrain cluster ages and distances, and trace the angular momentum evolution of stellar populations. To advance these studies, we applied image subtraction and systematic reduction techniques to the NGC 6819 Kepler superstamp […]


Continue.. Kepler Image-Subtracted Light Curves and Variable Star Catalog of NGC 6819

Kepler Image-Subtracted Light Curves and Variable Star Catalog of NGC 6819

Kavli Affiliate: Andrew Vanderburg | Summary:Variable stars in open clusters are valuable probes of stellar evolution. They provide precise measurements of stellar properties, constrain cluster ages and distances, and trace the angular momentum evolution of stellar populations. To advance these studies, we applied image subtraction and systematic reduction techniques to the NGC 6819 Kepler superstamp […]


Continue.. Kepler Image-Subtracted Light Curves and Variable Star Catalog of NGC 6819

Learning to Trigger: Reinforcement Learning at the Large Hadron Collider

Kavli Affiliate: David W. Miller | Summary:High-throughput scientific facilities such as the Large Hadron Collider depend on real-time event filtering (textittriggering) under tight constraints on bandwidth, latency, and storage. In practice, trigger menus are largely static and hand-tuned and can become suboptimal as detector conditions, pileup, and background composition drift over time. We cast online […]


Continue.. Learning to Trigger: Reinforcement Learning at the Large Hadron Collider

Learning to Trigger: Reinforcement Learning at the Large Hadron Collider

Kavli Affiliate: David W. Miller | Summary:High-throughput scientific facilities such as the Large Hadron Collider depend on real-time event filtering (textittriggering) under tight constraints on bandwidth, latency, and storage. In practice, trigger menus are largely static and hand-tuned and can become suboptimal as detector conditions, pileup, and background composition drift over time. We cast online […]


Continue.. Learning to Trigger: Reinforcement Learning at the Large Hadron Collider

Learning to Trigger: Reinforcement Learning at the Large Hadron Collider

Kavli Affiliate: David W. Miller | Summary:High-throughput scientific facilities such as the Large Hadron Collider depend on real-time event filtering (textittriggering) under tight constraints on bandwidth, latency, and storage. In practice, trigger menus are largely static and hand-tuned and can become suboptimal as detector conditions, pileup, and background composition drift over time. We cast online […]


Continue.. Learning to Trigger: Reinforcement Learning at the Large Hadron Collider