Fisher's Mirage: Noise Tightening of Cosmological Constraints in Simulation-Based Inference

Autor: Wilson, Christopher, bean, Rachel

We systematically analyze the implications of statistical noise within numerical derivatives on simulation-based Fisher forecasts for large scale structure surveys. Noisy numerical derivatives resulting from a finite number of simulations, $N_{sims}$

Externí odkaz: http://arxiv.org/abs/2406.06067

Quantum Information Science and Technology for Nuclear Physics. Input into U.S. Long-Range Planning, 2023

Autor: Beck, Douglas, Carlson, Joseph, Davoudi, Zohreh, Formaggio, Joseph, Quaglioni, Sofia, Savage, Martin, Barata, Joao, Bhattacharya, Tanmoy, Bishof, Michael, Cloet, Ian, Delgado, Andrea, DeMarco, Michael, Fink, Caleb, Florio, Adrien, Francois, Marianne, Grabowska, Dorota, Hoogerheide, Shannon, Huang, Mengyao, Ikeda, Kazuki, Illa, Marc, Joo, Kyungseon, Kharzeev, Dmitri, Kowalski, Karol, Lai, Wai Kin, Leach, Kyle, Loer, Ben, Low, Ian, Martin, Joshua, Moore, David, Mehen, Thomas, Mueller, Niklas, Mulligan, James, Mumm, Pieter, Pederiva, Francesco, Pisarski, Rob, Ploskon, Mateusz, Reddy, Sanjay, Rupak, Gautam, Singh, Hersh, Singh, Maninder, Stetcu, Ionel, Stryker, Jesse, Szypryt, Paul, Valgushev, Semeon, VanDevender, Brent, Watkins, Samuel, Wilson, Christopher, Yao, Xiaojun, Afanasev, Andrei, Balantekin, Akif Baha, Baroni, Alessandro, Bunker, Raymond, Chakraborty, Bipasha, Chernyshev, Ivan, Cirigliano, Vincenzo, Clark, Benjamin, Dhiman, Shashi Kumar, Du, Weijie, Dutta, Dipangkar, Edwards, Robert, Flores, Abraham, Galindo-Uribarri, Alfredo, Ruiz, Ronald Fernando Garcia, Gueorguiev, Vesselin, Guo, Fanqing, Hansen, Erin, Hernandez, Hector, Hattori, Koichi, Hauke, Philipp, Hjorth-Jensen, Morten, Jankowski, Keith, Johnson, Calvin, Lacroix, Denis, Lee, Dean, Lin, Huey-Wen, Liu, Xiaohui, Llanes-Estrada, Felipe J., Looney, John, Lukin, Misha, Mercenne, Alexis, Miller, Jeff, Mottola, Emil, Mueller, Berndt, Nachman, Benjamin, Negele, John, Orrell, John, Patwardhan, Amol, Phillips, Daniel, Poole, Stephen, Qualters, Irene, Rumore, Mike, Schaefer, Thomas, Scott, Jeremy, Singh, Rajeev, Vary, James, Galvez-Viruet, Juan-Jose, Wendt, Kyle, Xing, Hongxi, Yang, Liang, Young, Glenn, Zhao, Fanyi

In preparation for the 2023 NSAC Long Range Plan (LRP), members of the Nuclear Science community gathered to discuss the current state of, and plans for further leveraging opportunities in, QIST in NP research at the Quantum Information Science for U

Externí odkaz: http://arxiv.org/abs/2303.00113

Essential System Services in Grids Dominated by Renewable Energy

Autor: Lal, Niraj, Price, Toby, Kwek, Leon, Wilson, Christopher, Billimoria, Farhad, Morrow, Trent, Garbutt, Matt, Sharafi, Dean

As the proportion of variable inverter-based renewable energy generation in electricity systems increases from a minority to the majority of total supply, the complexity and cost of providing ancillary system services increases in parallel. Australia

Externí odkaz: http://arxiv.org/abs/2105.13534

Testing $f(R)$ Gravity With Scale Dependent Cosmic Void Velocity Profiles

Autor: Wilson, Christopher, Bean, Rachel

Publikováno v: Phys. Rev. D 104, 023512 (2021)

We study the impact of cosmological scale modifications to General Relativity on the dynamics of halos within voids by comparing N-body simulations incorporating Hu-Sawicki $f(R)$ gravity, with $|f_{R0}|=10^{-6}$ and $10^{-5}$, to those of $\Lambda$C

Externí odkaz: http://arxiv.org/abs/2012.05925

Predicting competitions by combining conditional logistic regression and subjective Bayes: An Academy Awards case study

Autor: Franck, Christopher T., Wilson, Christopher E.

Publikováno v: Ann. Appl. Stat. 15 (4) 2083 - 2100, December 2021

Predicting the outcome of elections, sporting events, entertainment awards, and other competitions has long captured the human imagination. Such prediction is growing in sophistication in these areas, especially in the rapidly growing field of data-d

Externí odkaz: http://arxiv.org/abs/2001.00878