Convergence Acceleration of Favre-Averaged Non-Linear Harmonic Method

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Kurt Webber, David Radford, Luca di Mare, Marcus Meyer | Summary: This paper develops a numerical procedure to accelerate the convergence of the Favre-averaged Non-Linear Harmonic (FNLH) method. The scheme provides a unified mathematical framework for solving the sparse linear systems formed by the mean […]


Continue.. Convergence Acceleration of Favre-Averaged Non-Linear Harmonic Method

Constraints on Dark Matter from Dynamical Heating of Stars in Ultrafaint Dwarfs. Part 2: Substructure and the Primordial Power Spectrum

Kavli Affiliate: Peter W. Graham | First 5 Authors: Peter W. Graham, Harikrishnan Ramani, , , | Summary: There is a large and growing interest in observations of small-scale structure in dark matter. We propose a new way to probe dark matter structures in the $sim 10 – 10^8 , M_odot$ range. This allows us […]


Continue.. Constraints on Dark Matter from Dynamical Heating of Stars in Ultrafaint Dwarfs. Part 2: Substructure and the Primordial Power Spectrum

Constraints on Dark Matter from Dynamical Heating of Stars in Ultrafaint Dwarfs. Part 2: Substructure and the Primordial Power Spectrum

Kavli Affiliate: Peter W. Graham | First 5 Authors: Peter W. Graham, Harikrishnan Ramani, , , | Summary: There is a large and growing interest in observations of small-scale structure in dark matter. We propose a new way to probe dark matter structures in the $sim 10 – 10^8 , M_odot$ range. This allows us […]


Continue.. Constraints on Dark Matter from Dynamical Heating of Stars in Ultrafaint Dwarfs. Part 2: Substructure and the Primordial Power Spectrum

Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization

Kavli Affiliate: Yi Zhou | First 5 Authors: Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou | Summary: Distributionally robust optimization (DRO) is a powerful framework for training robust models against data distribution shifts. This paper focuses on constrained DRO, which has an explicit characterization of the robustness level. Existing studies on constrained […]


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Repeating Nuclear Transients as Candidate Electromagnetic Counterparts of LISA Extreme Mass Ratio Inspirals

Kavli Affiliate: Dheeraj R. Pasham | First 5 Authors: Shubham Kejriwal, Vojtech Witzany, Michal Zajacek, Dheeraj R. Pasham, Alvin J. K. Chua | Summary: Extreme-mass-ratio inspirals (EMRIs) are one of the primary targets for the recently adopted millihertz gravitational-wave (GW) observatory LISA. Some previous studies have argued that a fraction of all EMRIs form in […]


Continue.. Repeating Nuclear Transients as Candidate Electromagnetic Counterparts of LISA Extreme Mass Ratio Inspirals

Repeating Nuclear Transients as Candidate Electromagnetic Counterparts of LISA Extreme Mass Ratio Inspirals

Kavli Affiliate: Dheeraj R. Pasham | First 5 Authors: Shubham Kejriwal, Vojtech Witzany, Michal Zajacek, Dheeraj R. Pasham, Alvin J. K. Chua | Summary: Extreme-mass-ratio inspirals (EMRIs) are one of the primary targets for the recently adopted millihertz gravitational-wave (GW) observatory LISA. Some previous studies have argued that a fraction of all EMRIs form in […]


Continue.. Repeating Nuclear Transients as Candidate Electromagnetic Counterparts of LISA Extreme Mass Ratio Inspirals

Repeating Nuclear Transients as Candidate Electromagnetic Counterparts of LISA Extreme Mass Ratio Inspirals

Kavli Affiliate: Dheeraj R. Pasham | First 5 Authors: Shubham Kejriwal, Vojtech Witzany, Michal Zajacek, Dheeraj R. Pasham, Alvin J. K. Chua | Summary: Extreme-mass-ratio inspirals (EMRIs) are one of the primary targets for the recently adopted millihertz gravitational-wave (GW) observatory LISA. Some previous studies have argued that a fraction of all EMRIs form in […]


Continue.. Repeating Nuclear Transients as Candidate Electromagnetic Counterparts of LISA Extreme Mass Ratio Inspirals

Repeating Nuclear Transients as Candidate Electromagnetic Counterparts of LISA Extreme Mass Ratio Inspirals

Kavli Affiliate: Dheeraj R. Pasham | First 5 Authors: Shubham Kejriwal, Vojtech Witzany, Michal Zajacek, Dheeraj R. Pasham, Alvin J. K. Chua | Summary: Extreme-mass-ratio inspirals (EMRIs) are one of the primary targets for the recently adopted millihertz gravitational-wave (GW) observatory LISA. Some previous studies have argued that a fraction of all EMRIs form in […]


Continue.. Repeating Nuclear Transients as Candidate Electromagnetic Counterparts of LISA Extreme Mass Ratio Inspirals

Repeating Nuclear Transients as Candidate Electromagnetic Counterparts of LISA Extreme Mass Ratio Inspirals

Kavli Affiliate: Dheeraj R. Pasham | First 5 Authors: Shubham Kejriwal, Vojtech Witzany, Michal Zajacek, Dheeraj R. Pasham, Alvin J. K. Chua | Summary: Extreme-mass-ratio inspirals (EMRIs) are one of the primary targets for the recently adopted millihertz gravitational-wave (GW) observatory LISA. Some previous studies have argued that a fraction of all EMRIs form in […]


Continue.. Repeating Nuclear Transients as Candidate Electromagnetic Counterparts of LISA Extreme Mass Ratio Inspirals

Foraging Under Uncertainty Follows the Marginal Value Theorem with Bayesian Updating of Environment Representations

Kavli Affiliate: Daeyeol Lee | Authors: James Webb, Paul Steffan, Benjamin Y Hayden, Daeyeol Lee, Caleb Kemere and Matthew McGinley | Summary: Foraging theory has been a remarkably successful approach to understanding the behavior of animals in many contexts. In patch-based foraging contexts, the marginal value theorem (MVT) shows that the optimal strategy is to […]


Continue.. Foraging Under Uncertainty Follows the Marginal Value Theorem with Bayesian Updating of Environment Representations