Tootfinder

Measurement of the Dispersion$\unicode{x2013}$Galaxy Cross-Power Spectrum with the Second CHIME/FRB Catalog
Haochen Wang, Kiyoshi Masui, Shion Andrew, Emmanuel Fonseca, B. M. Gaensler, R. C. Joseph, Victoria M. Kaspi, Bikash Kharel, Adam E. Lanman, Calvin Leung, Lluis Mas-Ribas, Juan Mena-Parra, Kenzie Nimmo, Aaron B. Pearlman, Ue-Li Pen, J. Xavier Prochaska, Ryan Raikman, Kaitlyn Shin, Seth R. Siegel, Kendrick M. Smith, Ingrid H. Stairs

Measurement of the Dispersion$\unicode{x2013}$Galaxy Cross-Power Spectrum with the Second CHIME/FRB Catalog
The dispersion of extragalactic fast radio bursts (FRBs) can serve as a powerful probe of the diffuse plasma between and surrounding galaxies, which contains most of the Universe's baryons. By cross-correlating the dispersion of background FRBs with the locations of foreground galaxies, we can study the relative spatial distributions of plasma and galaxies on scales of 0.1 to 50 Mpc, which are strongly affected by feedback processes in galaxy formation. Here we present the measurement of the di…

Evaluating Undergrounding Decisions for Wildfire Ignition Risk Mitigation across Multiple Hazards
Ryan Piansky, Daniel K. Molzahn, Nicole D. Jackson, J. Kyle Skolfield
https://arxiv.org/abs/2506.06575

Evaluating Undergrounding Decisions for Wildfire Ignition Risk Mitigation across Multiple Hazards
With electric power infrastructure increasingly susceptible to impacts from climate-driven natural disasters, there is an increasing need for optimization algorithms that determine where to harden the power grid. Prior work has primarily developed optimal hardening approaches for specific acute disaster scenarios. Given the extensive costs of hardening the grid, it is important to understand how a particular set of resilience investments will perform under multiple types of natural hazards. Usi…

Time-Varying Model Predictive Attitude Control for Magnetically Actuated Dual-Spin Satellites
Robert D. Halverson, Ryan J. Caverly
https://arxiv.org/abs/2506.07858

Time-Varying Model Predictive Attitude Control for Magnetically Actuated Dual-Spin Satellites
Attitude control hardware for small satellites is often limited in power and space availability given the importance of the science instruments they exist to transport. To mitigate this, a dual-spin stabilized satellite actuated via magnetic torque rods reduces the space and power required of the attitude control system, but may require advanced control policies. This paper explores the attitude control of a magnetically actuated dual-spin stabilized CubeSat with model predictive control using …

The Artificial Benchmark for Community Detection with Outliers and Overlapping Communities (ABCD $o^2$)
Jordan Barrett, Ryan DeWolfe, Bogumi{\l} Kami\'nski, Pawe{\l} Pra{\l}at, Aaron Smith, Fran\c{c}ois Th\'eberge
https://arxiv.org/abs/2506.05486

The Artificial Benchmark for Community Detection with Outliers and Overlapping Communities (ABCD+$o^2$)
The Artificial Benchmark for Community Detection (ABCD) graph is a random graph model with community structure and power-law distribution for both degrees and community sizes. The model generates graphs similar to the well-known LFR model but it is faster, more interpretable, and can be investigated analytically. In this paper, we use the underlying ingredients of the ABCD model, and its generalization to include outliers (ABCD+$o$), and introduce another variant that allows for overlapping com…

Optimizing Battery and Line Undergrounding Investments for Transmission Systems under Wildfire Risk Scenarios: A Benders Decomposition Approach
Ryan Piansky, Rahul K. Gupta, Daniel K. Molzahn
https://arxiv.org/abs/2506.06687

Optimizing Battery and Line Undergrounding Investments for Transmission Systems under Wildfire Risk Scenarios: A Benders Decomposition Approach
With electric power infrastructure posing an increasing risk of igniting wildfires under continuing climate change, utilities are frequently de-energizing power lines to mitigate wildfire ignition risk, which can cause load shedding. Recent research advocates for installing battery energy storage systems as well as undergrounding risky overhead lines to reduce the load shedding during such de-energizations. Since wildfire ignition risk can exhibit substantial geographic and temporal variations,…

High Precision RF Pulse Shaping with Direct RF Sampling for Future Linear Accelerators
Chao Liu, Ankur Dhar, Ryan Herbst, Emilio A. Nanni
https://arxiv.org/abs/2505.22872

High Precision RF Pulse Shaping with Direct RF Sampling for Future Linear Accelerators
In various of particle accelerator designs, amplitude and phase modulation methods are commonly applied to shape the RF pulses for implementing pulse compressors or compensating for the fluctuations introduced by the high-power RF components and beam loading effects. Phase modulations are typically implemented with additional phase shifters that require drive or control electronics. With our recent next-generation LLRF (NG-LLRF) platform developed based on direct RF sampling technology of RF sy…