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.
Keywords
Cite
@article{arxiv.2203.06795,
title = {Snowmass2021: Opportunities from Cross-survey Analyses of Static Probes},
author = {Eric J. Baxter and Chihway Chang and Andrew Hearin and Jonathan Blazek and Lindsey E. Bleem and Simone Ferraro and Mustapha Ishak and Kirit S. Karkare and Alexie Leauthaud and Jia Liu and Rachel Mandelbaum and Joel Meyers and Azadeh Moradinezhad Dizgah and Daisuke Nagai and Jeffrey A. Newman and Yuuki Omori and Neelima Sehgal and Martin White and Joe Zuntz and Marcelo A. Alvarez and Camille Avestruz and Federico Bianchini and Sebastian Bocquet and Boris Bolliet and John E. Carlstrom and Cyrille Doux and Alexander van Engelen and Tze Goh and Sebastian Grandis and J. Colin Hill and Anja von der Linden and Abhishek S. Maniyar and Gabriela A. Marques and Anna Porredon and Judit Prat and Naomi Robertson and Emmanuel Schaan and Shabbir Shaikh and Tae-hyeon Shin and Yuanyuan Zhang},
journal= {arXiv preprint arXiv:2203.06795},
year = {2022}
}
Comments
Contribution to Snowmass 2021