arXiv · 2203.06795
Snowmass2021: Opportunities from Cross-survey Analyses of Static Probes
Abstract
Cosmological data in the next decade will be characterized by high-precision, multi-wavelength measurements of thousands of square degrees of the same patches of sky. By performing multi-survey analyses that harness the correlated nature of these datasets, we will gain access to new science, and increase the precision and robustness of science being pursued by each individual survey. However, effective application of such analyses requires a qualitatively new level of investment in cross-survey infrastructure, including simulations, associated modeling, coordination of data sharing, and survey strategy. The scientific gains from this new level of investment are multiplicative, as the benefits can be reaped by even present-day instruments, and can be applied to new instruments as they come online.
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Eric J. Baxter, Chihway Chang, Andrew Hearin, Jonathan Blazek, Lindsey E. Bleem, Simone Ferraro, Mustapha Ishak, Kirit S. Karkare, Alexie Leauthaud, Jia Liu, Rachel Mandelbaum, Joel Meyers, Azadeh Moradinezhad Dizgah, Daisuke Nagai, Jeffrey A. Newman, Yuuki Omori, Neelima Sehgal, Martin White, Joe Zuntz, Marcelo A. Alvarez, Camille Avestruz, Federico Bianchini, Sebastian Bocquet, Boris Bolliet, John E. Carlstrom, Cyrille Doux, Alexander van Engelen, Tze Goh, Sebastian Grandis, J. Colin Hill, Anja von der Linden, Abhishek S. Maniyar, Gabriela A. Marques, Anna Porredon, Judit Prat, Naomi Robertson, Emmanuel Schaan, Shabbir Shaikh, Tae-hyeon Shin, Yuanyuan Zhang. 2022-03-14. Snowmass2021: Opportunities from Cross-survey Analyses of Static Probes. https://arxiv.org/abs/2203.06795
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