The impact of UV variability on the abundance of bright galaxies at $z geq 9$

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Xuejian Shen, Mark Vogelsberger, Michael Boylan-Kolchin, Sandro Tacchella, Rahul Kannan | Summary: JWST observations have revealed a population of galaxies bright enough that potentially challenge standard galaxy formation models in the $Lambda$CDM cosmology. Using a minimal empirical framework, we investigate the influence of variability on the rest-frame […]


Continue.. The impact of UV variability on the abundance of bright galaxies at $z geq 9$

Metal-poor stars observed with the Magellan Telescope. IV. Neutron-capture element signatures in 27 main-sequence stars

Kavli Affiliate: Anna Frebel | First 5 Authors: Mohammad K. Mardini, Anna Frebel, Leyatt Betre, Heather Jacobson, John E. Norris | Summary: Based on high-resolution spectra obtained with Magellan/MIKE, we present a chemo-dynamical analysis for 27 near main-sequence turnoff metal-poor stars, including 20 stars analyzed for the first time. The sample spans a range in […]


Continue.. Metal-poor stars observed with the Magellan Telescope. IV. Neutron-capture element signatures in 27 main-sequence stars

Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Eric Gan, Max Tegmark, , | Summary: We introduce Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable. Inspired by brains, BIMT embeds neurons in a geometric space and augments the loss function with a cost proportional to the length […]


Continue.. Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability

Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Eric Gan, Max Tegmark, , | Summary: We introduce Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable. Inspired by brains, BIMT embeds neurons in a geometric space and augments the loss function with a cost proportional to the length […]


Continue.. Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability

Demonstrating repetitive non-destructive readout (RNDR) with SiSeRO devices

Kavli Affiliate: Gregory Prigozhin | First 5 Authors: Tanmoy Chattopadhyay, Sven Herrmann, Peter Orel, Kevan Donlon, Gregory Prigozhin | Summary: We demonstrate so-called repetitive non-destructive readout (RNDR) for the first time on a Single electron Sensitive Readout (SiSeRO) device. SiSeRO is a novel on-chip charge detector output stage for charge-coupled device (CCD) image sensors, developed […]


Continue.. Demonstrating repetitive non-destructive readout (RNDR) with SiSeRO devices

Demonstrating repetitive non-destructive readout (RNDR) with SiSeRO devices

Kavli Affiliate: Gregory Prigozhin | First 5 Authors: Tanmoy Chattopadhyay, Sven Herrmann, Peter Orel, Kevan Donlon, Gregory Prigozhin | Summary: We demonstrate so-called repetitive non-destructive readout (RNDR) for the first time on a Single electron Sensitive Readout (SiSeRO) device. SiSeRO is a novel on-chip charge detector output stage for charge-coupled device (CCD) image sensors, developed […]


Continue.. Demonstrating repetitive non-destructive readout (RNDR) with SiSeRO devices

Demonstrating repetitive non-destructive readout (RNDR) with SiSeRO devices

Kavli Affiliate: Gregory Prigozhin | First 5 Authors: Tanmoy Chattopadhyay, Sven Herrmann, Peter Orel, Kevan Donlon, Gregory Prigozhin | Summary: We demonstrate so-called repetitive non-destructive readout (RNDR) for the first time on a Single electron Sensitive Readout (SiSeRO) device. SiSeRO is a novel on-chip charge detector output stage for charge-coupled device (CCD) image sensors, developed […]


Continue.. Demonstrating repetitive non-destructive readout (RNDR) with SiSeRO devices

Demonstrating repetitive non-destructive readout (RNDR) with SiSeRO devices

Kavli Affiliate: Gregory Prigozhin | First 5 Authors: Tanmoy Chattopadhyay, Sven Herrmann, Peter Orel, Kevan Donlon, Gregory Prigozhin | Summary: We demonstrate so-called repetitive non-destructive readout (RNDR) for the first time on a Single electron Sensitive Readout (SiSeRO) device. SiSeRO is a novel on-chip charge detector output stage for charge-coupled device (CCD) image sensors, developed […]


Continue.. Demonstrating repetitive non-destructive readout (RNDR) with SiSeRO devices

The Io, Europa and Ganymede auroral footprints at Jupiter in the ultraviolet: positions and equatorial lead angles

Kavli Affiliate: George Clark | First 5 Authors: Vincent Hue, Randy Gladstone, Corentin K. Louis, Thomas K. Greathouse, Bertrand Bonfond | Summary: Jupiter’s satellite auroral footprints are a consequence of the interaction between the Jovian magnetic field with co-rotating iogenic plasma and the Galilean moons. The disturbances created near the moons propagate as Alfv’en waves […]


Continue.. The Io, Europa and Ganymede auroral footprints at Jupiter in the ultraviolet: positions and equatorial lead angles

Causal State Estimation and the Heisenberg Uncertainty Principle

Kavli Affiliate: Nergis Mavalvala | First 5 Authors: Junxin Chen, Benjamin B. Lane, Su Direkci, Dhruva Ganapathy, Xinghui Yin | Summary: The observables of a noisy quantum system can be estimated by appropriately filtering the records of their continuous measurement. Such filtering is relevant for state estimation and measurement-based quantum feedback control. It is therefore […]


Continue.. Causal State Estimation and the Heisenberg Uncertainty Principle