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1. The Role of Machine Learning in the Next Decade of Cosmology

Author

Ntampaka, Michelle, Avestruz, Camille, Boada, Steven, Caldeira, Joao, Cisewski-Kehe, Jessi, Di Stefano, Rosanne, Dvorkin, Cora, Evrard, August E., Farahi, Arya, Finkbeiner, Doug, Genel, Shy, Goodman, Alyssa, Goulding, Andy, Ho, Shirley, Kosowsky, Arthur, La Plante, Paul, Lanusse, Francois, Lochner, Michelle, Mandelbaum, Rachel, Nagai, Daisuke, Newman, Jeffrey A., Nord, Brian, Peek, J. E. G., Peel, Austin, Poczos, Barnabas, Rau, Markus Michael, Siemiginowska, Aneta, Sutherland, Danica J., Trac, Hy, and Wandelt, Benjamin

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

In recent years, machine learning (ML) methods have remarkably improved how cosmologists can interpret data. The next decade will bring new opportunities for data-driven cosmological discovery, but will also present new challenges for adopting ML methodologies and understanding the results. ML could transform our field, but this transformation will require the astronomy community to both foster and promote interdisciplinary research endeavors., Comment: Submitted to the Astro2020 call for science white papers

Published
2019

2. Overview of the DESI Legacy Imaging Surveys

Author

Dey, Arjun, Schlegel, David J., Lang, Dustin, Blum, Robert, Burleigh, Kaylan, Fan, Xiaohui, Findlay, Joseph R., Finkbeiner, Doug, Herrera, David, Juneau, Stephanie, Landriau, Martin, Levi, Michael, McGreer, Ian, Meisner, Aaron, Myers, Adam D., Moustakas, John, Nugent, Peter, Patej, Anna, Schlafly, Edward F., Walker, Alistair R., Valdes, Francisco, Weaver, Benjamin A., Zou, Christophe Yeche Hu, Zhou, Xu, Abareshi, Behzad, Abbott, T. M. C., Abolfathi, Bela, Aguilera, C., Alam, Shadab, Allen, Lori, Alvarez, A., Annis, James, Ansarinejad, Behzad, Aubert, Marie, Beechert, Jacqueline, Bell, Eric F., BenZvi, Segev Y., Beutler, Florian, Bielby, Richard M., Bolton, Adam S., Buckley-Geer, Cesar Briceno Elizabeth J., Butler, Karen, Calamida, Annalisa, Carlberg, Raymond G., Carter, Paul, Casas, Ricard, Castander, Francisco J., Choi, Yumi, Comparat, Johan, Cukanovaite, Elena, Delubac, Timothee, DeVries, Kaitlin, Dey, Sharmila, Dhungana, Govinda, Dickinson, Mark, Ding, Zhejie, Donaldson, John B., Duan, Yutong, Duckworth, Christopher J., Eftekharzadeh, Sarah, Eisenstein, Daniel J., Etourneau, Thomas, Fagrelius, Parker A., Farihi, Jay, Fitzpatrick, Mike, Font-Ribera, Andreu, Fulmer, Leah, Gansicke, Boris T., Gaztanaga, Enrique, George, Koshy, Gerdes, David W., Gontcho, Satya Gontcho A, Gorgoni, Claudio, Green, Gregory, Guy, Julien, Harmer, Diane, Hernandez, M., Honscheid, Klaus, Lijuan, Huang, James, David, Jannuzi, Buell T., Jiang, Linhua, Joyce, Richard, Karcher, Armin, Karkar, Sonia, Kehoe, Robert, Kneib, Jean-Paul, Kueter-Young, Andrea, Lan, Ting-Wen, Lauer, Tod, Guillou, Laurent Le, Van Suu, Auguste Le, Lee, Jae Hyeon, Lesser, Michael, Levasseur, Laurence Perreault, Li, Ting S., Mann, Justin L., Marshall, Bob, Martinez-Vazquez, C. E., Martini, Paul, Bourboux, Helion du Mas des, McManus, Sean, Meier, Tobias Gabriel, Menard, Brice, Metcalfe, Nigel, Munoz-Gutierrez, Andrea, Najita, Joan, Napier, Kevin, Narayan, Gautham, Newman, Jeffrey A., Nie, Jundan, Nord, Brian, Norman, Dara J., Olsen, Knut A. G., Paat, Anthony, Palanque-Delabrouille, Nathalie, Peng, Xiyan, Poppett, Claire L., Poremba, Megan R., Prakash, Abhishek, Rabinowitz, David, Raichoor, Anand, Rezaie, Mehdi, Robertson, A. N., Roe, Natalie A., Ross, Ashley J., Ross, Nicholas P., Rudnick, Gregory, Safonova, Sasha, Saha, Abhijit, Sanchez, F. Javier, Savary, Elodie, Schweiker, Heidi, Scott, Adam, Seo, Hee-Jong, Shan, Huanyuan, Silva, David R., Slepian, Zachary, Soto, Christian, Sprayberry, David, Staten, Ryan, Stillman, Coley M., Stupak, Robert J., Summers, David L., Tie, Suk Sien, Tirado, H., Vargas-Magana, Mariana, Vivas, A. Katherina, Wechsler, Risa H., Williams, Doug, Yang, Jinyi, Yang, Qian, Yapici, Tolga, Zaritsky, Dennis, Zenteno, A., Zhang, Kai, Zhang, Tianmeng, Zhou, Rongpu, and Zhou, Zhimin

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The DESI Legacy Imaging Surveys are a combination of three public projects (the Dark Energy Camera Legacy Survey, the Beijing-Arizona Sky Survey, and the Mayall z-band Legacy Survey) that will jointly image approximately 14,000 deg^2 of the extragalactic sky visible from the northern hemisphere in three optical bands (g, r, and z) using telescopes at the Kitt Peak National Observatory and the Cerro Tololo Inter-American Observatory. The combined survey footprint is split into two contiguous areas by the Galactic plane. The optical imaging is conducted using a unique strategy of dynamically adjusting the exposure times and pointing selection during observing that results in a survey of nearly uniform depth. In addition to calibrated images, the project is delivering a catalog, constructed by using a probabilistic inference-based approach to estimate source shapes and brightnesses. The catalog includes photometry from the grz optical bands and from four mid-infrared bands (at 3.4, 4.6, 12 and 22 micorons) observed by the Wide-field Infrared Survey Explorer (WISE) satellite during its full operational lifetime. The project plans two public data releases each year. All the software used to generate the catalogs is also released with the data. This paper provides an overview of the Legacy Surveys project., Comment: 47 pages, 18 figures; accepted for publication in the Astronomical Journal

Published
2018
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3. Overview of the DESI Legacy Imaging Surveys

Author

Dey, Arjun, Schlegel, David J, Lang, Dustin, Blum, Robert, Burleigh, Kaylan, Fan, Xiaohui, Findlay, Joseph R, Finkbeiner, Doug, Herrera, David, Juneau, Stéphanie, Landriau, Martin, Levi, Michael, McGreer, Ian, Meisner, Aaron, Myers, Adam D, Moustakas, John, Nugent, Peter, Patej, Anna, Schlafly, Edward F, Walker, Alistair R, Valdes, Francisco, Weaver, Benjamin A, Yèche, Christophe, Zou, Hu, Zhou, Xu, Abareshi, Behzad, Abbott, TMC, Abolfathi, Bela, Aguilera, C, Alam, Shadab, Allen, Lori, Alvarez, A, Annis, James, Ansarinejad, Behzad, Aubert, Marie, Beechert, Jacqueline, Bell, Eric F, BenZvi, Segev Y, Beutler, Florian, Bielby, Richard M, Bolton, Adam S, Briceño, César, Buckley-Geer, Elizabeth J, Butler, Karen, Calamida, Annalisa, Carlberg, Raymond G, Carter, Paul, Casas, Ricard, Castander, Francisco J, Choi, Yumi, Comparat, Johan, Cukanovaite, Elena, Delubac, Timothée, DeVries, Kaitlin, Dey, Sharmila, Dhungana, Govinda, Dickinson, Mark, Ding, Zhejie, Donaldson, John B, Duan, Yutong, Duckworth, Christopher J, Eftekharzadeh, Sarah, Eisenstein, Daniel J, Etourneau, Thomas, Fagrelius, Parker A, Farihi, Jay, Fitzpatrick, Mike, Font-Ribera, Andreu, Fulmer, Leah, Gänsicke, Boris T, Gaztanaga, Enrique, George, Koshy, Gerdes, David W, Gontcho, Satya Gontcho A, Gorgoni, Claudio, Green, Gregory, Guy, Julien, Harmer, Diane, Hernandez, M, Honscheid, Klaus, Huang, Lijuan, James, David J, Jannuzi, Buell T, Jiang, Linhua, Joyce, Richard, Karcher, Armin, Karkar, Sonia, Kehoe, Robert, Jean-Paul, Kneib, Kueter-Young, Andrea, Lan, Ting-Wen, Lauer, Tod R, Le Guillou, Laurent, Le Van Suu, Auguste, Lee, Jae Hyeon, Lesser, Michael, Levasseur, Laurence Perreault, Li, Ting S, Mann, Justin L, and Marshall, Robert

Subjects
Space Sciences, Physical Sciences, catalogs, surveys, astro-ph.IM, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics
Abstract

The DESI Legacy Imaging Surveys (http://legacysurvey.org/) are a combination of three public projects (the Dark Energy Camera Legacy Survey, the Beijing-Arizona Sky Survey, and the Mayall z-band Legacy Survey) that will jointly image ≈14,000 deg2 of the extragalactic sky visible from the northern hemisphere in three optical bands (g, r, and z) using telescopes at the Kitt Peak National Observatory and the Cerro Tololo Inter-American Observatory. The combined survey footprint is split into two contiguous areas by the Galactic plane. The optical imaging is conducted using a unique strategy of dynamically adjusting the exposure times and pointing selection during observing that results in a survey of nearly uniform depth. In addition to calibrated images, the project is delivering a catalog, constructed by using a probabilistic inference-based approach to estimate source shapes and brightnesses. The catalog includes photometry from the grz optical bands and from four mid-infrared bands (at 3.4, 4.6, 12, and 22 μm) observed by the Wide-field Infrared Survey Explorer satellite during its full operational lifetime. The project plans two public data releases each year. All the software used to generate the catalogs is also released with the data. This paper provides an overview of the Legacy Surveys project.

Published
2019

5. Tracing antimatter

Author

Finkbeiner, Doug

Subjects
Matter -- Observations, Gamma rays -- Observations, Astronomy
Abstract

Q: Could the huge gamma-ray bubbles that extend above and below the center of the Milky Way be a boundary of matter and antimatter, whose collision emits gamma rays? -- [...]

Published
2012

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