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Dark Matter Science in the Era of LSST

Authors :
Bechtol, Keith
Drlica-Wagner, Alex
Abazajian, Kevork N.
Abidi, Muntazir
Adhikari, Susmita
Ali-Haïmoud, Yacine
Annis, James
Ansarinejad, Behzad
Armstrong, Robert
Asorey, Jacobo
Baccigalupi, Carlo
Banerjee, Arka
Banik, Nilanjan
Bennett, Charles
Beutler, Florian
Bird, Simeon
Birrer, Simon
Biswas, Rahul
Biviano, Andrea
Blazek, Jonathan
Boddy, Kimberly K.
Bonaca, Ana
Borrill, Julian
Bose, Sownak
Bovy, Jo
Frye, Brenda
Brooks, Alyson M.
Buckley, Matthew R.
Buckley-Geer, Elizabeth
Bulbul, Esra
Burchat, Patricia R.
Burgess, Cliff
Calore, Francesca
Caputo, Regina
Castorina, Emanuele
Chang, Chihway
Chapline, George
Charles, Eric
Chen, Xingang
Clowe, Douglas
Cohen-Tanugi, Johann
Comparat, Johan
Croft, Rupert A. C.
Cuoco, Alessandro
Cyr-Racine, Francis-Yan
D'Amico, Guido
Davis, Tamara M
Dawson, William A.
de la Macorra, Axel
Di Valentino, Eleonora
Rivero, Ana Díaz
Digel, Seth
Dodelson, Scott
Doré, Olivier
Dvorkin, Cora
Eckner, Christopher
Ellison, John
Erkal, Denis
Farahi, Arya
Fassnacht, Christopher D.
Ferreira, Pedro G.
Flaugher, Brenna
Foreman, Simon
Friedrich, Oliver
Frieman, Joshua
García-Bellido, Juan
Gawiser, Eric
Gerbino, Martina
Giannotti, Maurizio
Gill, Mandeep S. S.
Gluscevic, Vera
Golovich, Nathan
Gontcho, Satya Gontcho A
González-Morales, Alma X.
Grin, Daniel
Gruen, Daniel
Hearin, Andrew P.
Hendel, David
Hezaveh, Yashar D.
Hirata, Christopher M.
Hložek, Renee
Horiuchi, Shunsaku
Jain, Bhuvnesh
Jee, M. James
Jeltema, Tesla E.
Kamionkowski, Marc
Kaplinghat, Manoj
Keeley, Ryan E.
Keeton, Charles R.
Khatri, Rishi
Koposov, Sergey E.
Koushiappas, Savvas M.
Kovetz, Ely D.
Lahav, Ofer
Lam, Casey
Lee, Chien-Hsiu
Li, Ting S.
Liguori, Michele
Lin, Tongyan
Lisanti, Mariangela
LoVerde, Marilena
Lu, Jessica R.
Mandelbaum, Rachel
Mao, Yao-Yuan
McDermott, Samuel D.
McNanna, Mitch
Medford, Michael
Meerburg, P. Daniel
Meyer, Manuel
Mirbabayi, Mehrdad
Mishra-Sharma, Siddharth
Marc, Moniez
More, Surhud
Moustakas, John
Muñoz, Julian B.
Murgia, Simona
Myers, Adam D.
Nadler, Ethan O.
Necib, Lina
Newburgh, Laura
Newman, Jeffrey A.
Nord, Brian
Nourbakhsh, Erfan
Nuss, Eric
O'Connor, Paul
Pace, Andrew B.
Padmanabhan, Hamsa
Palmese, Antonella
Peiris, Hiranya V.
Peter, Annika H. G.
Piacentni, Francesco
Piacentini, Francesco
Plazas, Andrés
Polin, Daniel A.
Prakash, Abhishek
Prescod-Weinstein, Chanda
Read, Justin I.
Ritz, Steven
Robertson, Brant E.
Rose, Benjamin
Rosenfeld, Rogerio
Rossi, Graziano
Samushia, Lado
Sánchez, Javier
Sánchez-Conde, Miguel A.
Schaan, Emmanuel
Sehgal, Neelima
Senatore, Leonardo
Seo, Hee-Jong
Shafieloo, Arman
Shan, Huanyuan
Shipp, Nora
Simon, Joshua D.
Simon, Sara
Slatyer, Tracy R.
Slosar, Anže
Sridhar, Srivatsan
Stebbins, Albert
Straniero, Oscar
Strigari, Louis E.
Tait, Tim M. P.
Tollerud, Erik
Troxel, M. A.
Tyson, J. Anthony
Uhlemann, Cora
Urenña-López, L. Arturo
Verma, Aprajita
Vilalta, Ricardo
Walter, Christopher W.
Wang, Mei-Yu
Watson, Scott
Wechsler, Risa H.
Wittman, David
Xu, Weishuang
Yanny, Brian
Young, Sam
Yu, Hai-Bo
Zaharijas, Gabrijela
Zentner, Andrew R.
Zuntz, Joe
Publication Year :
2019

Abstract

Astrophysical observations currently provide the only robust, empirical measurements of dark matter. In the coming decade, astrophysical observations will guide other experimental efforts, while simultaneously probing unique regions of dark matter parameter space. This white paper summarizes astrophysical observations that can constrain the fundamental physics of dark matter in the era of LSST. We describe how astrophysical observations will inform our understanding of the fundamental properties of dark matter, such as particle mass, self-interaction strength, non-gravitational interactions with the Standard Model, and compact object abundances. Additionally, we highlight theoretical work and experimental/observational facilities that will complement LSST to strengthen our understanding of the fundamental characteristics of dark matter.<br />Comment: 11 pages, 2 figures, Science Whitepaper for Astro 2020, more information at https://lsstdarkmatter.github.io

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1903.04425
Document Type :
Working Paper