Astro2020 Science White Paper: Cosmological Synergies Enabled by Joint Analysis of Multi-probe data from WFIRST, Euclid, and LSST

WFIRST, Euclid, and LSST are all missions designed to perform dedicated cosmology surveys that offer unprecedented statistical constraining power and control of systematic uncertainties. There is a growing realization that these missions will be significantly more powerful when the data are processe...

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Veröffentlicht in:Bulletin of the American Astronomical Society 2019-05, Vol.51 (3)
Hauptverfasser: Rhodes, Jason D., Alonso, David, Ansarinejad, Behzad, Armstrong, Robert, Asorey, Jacobo, Avelino, Arturo, Blazek, Jonathan, Castander, Francisco J., Chary, Ranga Ram, Chen, Xingang, Choi, Ami, Clowe, Douglas, Cohen-Tanugi, Johann, Comparat, Johan, Croft, Rupert A. C., Dore, Olivier, Escoffier, Stephanie, Foley, Ryan, Fosalba, Pablo, Gruen, Daniel, Gupta, Nikhel, Guzzo, Luigi, Hawken, Adam J., Hemmati, Shoubaneh, Heitmann, Katrin, Hernquist, Lars, Heymans, Catherine, Hirata, Christopher M., Hoekstra, Henk, Huterer, Dragan, Iliev, Ilian T., Jain, Bhuvnesh, Jha, Saurabh W., Keeley, Ryan E., Kiessling, Alina, Kitching, Thomas, Koekemoer, Anton, Koushiappas, Savvas M., Kovetz, Ely D., Kruk, Jeff, L'Huillier, Benjamin, Lahav, Ofer, Lemos, Pablo, Macorra, Axel de La, Malagón, Andrés Plazas, Mandelbaum, Rachel, Masters, Daniel, Mcquinn, Matthew, Melchior, Peter, Miyatake, Hironao, Newman, Jeffrey A., Nichol, Robert C., Niz, Gustavo, O'Connor, Paul, Penna-Lima, Mariana, Percival, Will J., Perlmutter, Saul, Pisani, Alice, Rigault, Mickael, Rossi, Graziano, Schmittfull, Marcel, Schuhmann, Robert, Scolnic, Dan, Sereno, Mauro, Shan, Huanyuan, Shirasaki, Masato, Simon, Sara, Slosar, Anže, Spergel, David, Sridhar, Srivatsan, Takada, Masahiro, Troxel, M. A., Wang, Yun, Weinberg, David, Yoshida, Naoki, Zhang, Yuanyuan
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Sprache:eng
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Zusammenfassung:WFIRST, Euclid, and LSST are all missions designed to perform dedicated cosmology surveys that offer unprecedented statistical constraining power and control of systematic uncertainties. There is a growing realization that these missions will be significantly more powerful when the data are processed and analyzed in unison.
ISSN:0002-7537