%0 Generic %1 banerjee2022snowmass2021 %A Banerjee, Arka %A Birrer, Simon %A Habib, Salman %A Heitmann, Katrin %A Lukic, Zarija %A Munoz, Julian B. %A Omori, Yuuki %A Park, Hyunbae %A Peter, Annika H. G. %A Zhong, Yi-Ming %D 2022 %K library %T Snowmass2021 Computational Frontier White Paper: Cosmological Simulations and Modeling %U http://arxiv.org/abs/2203.07347 %X Powerful new observational facilities will come online over the next decade, enabling a number of discovery opportunities in the "Cosmic Frontier", which targets understanding of the physics of the early universe, dark matter and dark energy, and cosmological probes of fundamental physics, such as neutrino masses and modifications of Einstein gravity. Synergies between different experiments will be leveraged to present new classes of cosmic probes as well as to minimize systematic biases present in individual surveys. Success of this observational program requires actively pairing it with a well-matched state-of-the-art simulation and modeling effort. Next-generation cosmological modeling will increasingly focus on physically rich simulations able to model outputs of sky surveys spanning multiple wavebands. These simulations will have unprecedented resolution, volume coverage, and must deliver guaranteed high-fidelity results for individual surveys as well as for the cross-correlations across different surveys. The needed advances are as follows: (1) Development of scientifically rich and broadly-scoped simulations, which capture the relevant physics and correlations between probes (2) Accurate translation of simulation results into realistic image or spectral data to be directly compared with observations (3) Improved emulators and/or data-driven methods serving as surrogates for expensive simulations, constructed from a finite set of full-physics simulations (4) Detailed and transparent verification and validation programs for both simulations and analysis tools. (Abridged)

@misc{banerjee2022snowmass2021, abstract = {Powerful new observational facilities will come online over the next decade, enabling a number of discovery opportunities in the "Cosmic Frontier", which targets understanding of the physics of the early universe, dark matter and dark energy, and cosmological probes of fundamental physics, such as neutrino masses and modifications of Einstein gravity. Synergies between different experiments will be leveraged to present new classes of cosmic probes as well as to minimize systematic biases present in individual surveys. Success of this observational program requires actively pairing it with a well-matched state-of-the-art simulation and modeling effort. Next-generation cosmological modeling will increasingly focus on physically rich simulations able to model outputs of sky surveys spanning multiple wavebands. These simulations will have unprecedented resolution, volume coverage, and must deliver guaranteed high-fidelity results for individual surveys as well as for the cross-correlations across different surveys. The needed advances are as follows: (1) Development of scientifically rich and broadly-scoped simulations, which capture the relevant physics and correlations between probes (2) Accurate translation of simulation results into realistic image or spectral data to be directly compared with observations (3) Improved emulators and/or data-driven methods serving as surrogates for expensive simulations, constructed from a finite set of full-physics simulations (4) Detailed and transparent verification and validation programs for both simulations and analysis tools. (Abridged)}, added-at = {2022-03-15T08:49:25.000+0100}, author = {Banerjee, Arka and Birrer, Simon and Habib, Salman and Heitmann, Katrin and Lukic, Zarija and Munoz, Julian B. and Omori, Yuuki and Park, Hyunbae and Peter, Annika H. G. and Zhong, Yi-Ming}, biburl = {https://www.bibsonomy.org/bibtex/2b8d54a96061f0cc516b063ce81eaa92a/gpkulkarni}, description = {Snowmass2021 Computational Frontier White Paper: Cosmological Simulations and Modeling}, interhash = {91fe4946f68623d3c015c7d0676f863c}, intrahash = {b8d54a96061f0cc516b063ce81eaa92a}, keywords = {library}, note = {cite arxiv:2203.07347Comment: Submitted to the Proceedings of the US Community Study on the Future of Particle Physics (Snowmass 2021)}, timestamp = {2022-03-15T08:49:25.000+0100}, title = {Snowmass2021 Computational Frontier White Paper: Cosmological Simulations and Modeling}, url = {http://arxiv.org/abs/2203.07347}, year = 2022 }