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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Exomoons & Exorings with the Habitable Worlds Observatory I: On the Detection of Earth-Moon Analog Shadows & Eclipses

Kavli Affiliate: Andrew Vanderburg | First 5 Authors: Mary Anne Limbach, Jacob Lustig-Yaeger, Andrew Vanderburg, Johanna M. Vos, Rene Heller | Summary: The highest priority recommendation of the Astro2020 Decadal Survey for space-based astronomy was the construction of an observatory capable of characterizing habitable worlds. In this paper series we explore the detectability of and […]


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Gravothermal Catastrophe in Resonant Self-interacting Dark Matter Models

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Vinh Tran, Daniel Gilman, Mark Vogelsberger, Xuejian Shen, Stephanie O’Neil | Summary: We investigate a self-interacting dark matter (SIDM) model featuring a velocity-dependent cross section with an order-of-magnitude resonant enhancement of the cross section at $sim 16,{rm km},{rm s}^{-1}$. To understand the implications for the structure of […]


Continue.. Gravothermal Catastrophe in Resonant Self-interacting Dark Matter Models

Gravothermal Catastrophe in Resonant Self-interacting Dark Matter Models

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Vinh Tran, Daniel Gilman, Mark Vogelsberger, Xuejian Shen, Stephanie O’Neil | Summary: We investigate a self-interacting dark matter (SIDM) model featuring a velocity-dependent cross section with an order-of-magnitude resonant enhancement of the cross section at $sim 16,{rm km},{rm s}^{-1}$. To understand the implications for the structure of […]


Continue.. Gravothermal Catastrophe in Resonant Self-interacting Dark Matter Models

Gravothermal Catastrophe in Resonant Self-interacting Dark Matter Models

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Vinh Tran, Daniel Gilman, Mark Vogelsberger, Xuejian Shen, Stephanie O’Neil | Summary: We investigate a self-interacting dark matter (SIDM) model featuring a velocity-dependent cross section with an order-of-magnitude resonant enhancement of the cross section at $sim 16,{rm km},{rm s}^{-1}$. To understand the implications for the structure of […]


Continue.. Gravothermal Catastrophe in Resonant Self-interacting Dark Matter Models

Gravothermal Catastrophe in Resonant Self-interacting Dark Matter Models

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Vinh Tran, Daniel Gilman, Mark Vogelsberger, Xuejian Shen, Stephanie O’Neil | Summary: We investigate a self-interacting dark matter (SIDM) model featuring a velocity-dependent cross section with an order-of-magnitude resonant enhancement of the cross section at $sim 16,{rm km},{rm s}^{-1}$. To understand the implications for the structure of […]


Continue.. Gravothermal Catastrophe in Resonant Self-interacting Dark Matter Models

Adversarial Attacks on Reinforcement Learning Agents for Command and Control

Kavli Affiliate: John Richardson | First 5 Authors: Ahaan Dabholkar, James Z. Hare, Mark Mittrick, John Richardson, Nicholas Waytowich | Summary: Given the recent impact of Deep Reinforcement Learning in training agents to win complex games like StarCraft and DoTA(Defense Of The Ancients) – there has been a surge in research for exploiting learning based […]


Continue.. Adversarial Attacks on Reinforcement Learning Agents for Command and Control

Adversarial Attacks on Reinforcement Learning Agents for Command and Control

Kavli Affiliate: John Richardson | First 5 Authors: Ahaan Dabholkar, James Z. Hare, Mark Mittrick, John Richardson, Nicholas Waytowich | Summary: Given the recent impact of Deep Reinforcement Learning in training agents to win complex games like StarCraft and DoTA(Defense Of The Ancients) – there has been a surge in research for exploiting learning based […]


Continue.. Adversarial Attacks on Reinforcement Learning Agents for Command and Control