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51. SNIa Cosmology Analysis Results from Simulated LSST Images: From Difference Imaging to Constraints on Dark Energy

Author

Sánchez, B. O., primary, Kessler, R., additional, Scolnic, D., additional, Armstrong, R., additional, Biswas, R., additional, Bogart, J., additional, Chiang, J., additional, Cohen-Tanugi, J., additional, Fouchez, D., additional, Gris, Ph., additional, Heitmann, K., additional, Hložek, R., additional, Jha, S., additional, Kelly, H., additional, Liu, S., additional, Narayan, G., additional, Racine, B., additional, Rykoff, E., additional, Sullivan, M., additional, Walter, C. W., additional, and Wood-Vasey, W. M., additional

Published
2022
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52. SNIa Cosmology Analysis Results from Simulated LSST Images : From Difference Imaging to Constraints on Dark Energy

Author

Sanchez, B. O., Kessler, R., Scolnic, D., Armstrong, R., Biswas, Rahul, Bogart, J., Chiang, J., Cohen-Tanugi, J., Fouchez, D., Gris, Ph., Heitmann, K., Hložek, R., Jha, S., Kelly, H., Liu, S., Narayan, G., Racine, B., Rykoff, E., Sullivan, M., Walter, C. W., Wood-Vasey, W. M., Sanchez, B. O., Kessler, R., Scolnic, D., Armstrong, R., Biswas, Rahul, Bogart, J., Chiang, J., Cohen-Tanugi, J., Fouchez, D., Gris, Ph., Heitmann, K., Hložek, R., Jha, S., Kelly, H., Liu, S., Narayan, G., Racine, B., Rykoff, E., Sullivan, M., Walter, C. W., and Wood-Vasey, W. M.

Abstract

The Vera Rubin Observatory Legacy Survey of Space and Time (LSST) is expected to process ∼106 transient detections per night. For precision measurements of cosmological parameters and rates, it is critical to understand the detection efficiency, magnitude limits, artifact contamination levels, and biases in the selection and photometry. Here we rigorously test the LSST Difference Image Analysis (DIA) pipeline using simulated images from the Rubin Observatory LSST Dark Energy Science Collaboration Data Challenge (DC2) simulation for the Wide-Fast-Deep survey area. DC2 is the first large-scale (300 deg2) image simulation of a transient survey that includes realistic cadence, variable observing conditions, and CCD image artifacts. We analyze ∼15 deg2 of DC2 over a 5 yr time span in which artificial point sources from Type Ia supernova (SNIa) light curves have been overlaid onto the images. The magnitude limits per filter are u = 23.66 mag, g = 24.69 mag, r = 24.06 mag, i = 23.45 mag, z = 22.54 mag, and y = 21.62 mag. The artifact contamination levels are ∼90% of all detections, corresponding to ∼1000 artifacts deg–2 in g band, and falling to 300 deg–2 in y band. The photometry has biases <1% for magnitudes 19.5 < m < 23. Our DIA performance on simulated images is similar to that of the Dark Energy Survey difference-imaging pipeline on real images. We also characterize DC2 image properties to produce catalog-level simulations needed for distance bias corrections. We find good agreement between DC2 data and simulations for distributions of signal-to-noise ratio, redshift, and fitted light-curve properties. Applying a realistic SNIa cosmology analysis for redshifts z < 1, we recover the input cosmology parameters to within statistical uncertainties.

Published
2022
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54. Results of the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC)

Author

Hložek, R., Ponder, K.A., Malz, A.I., Dai, M., Narayan, G., Ishida, E.E.O., Allam, Jr T., Bahmanyar, A., Biswas, R., Galbany, L., Jha, S.W., Jones, D.O., Kessler, R., Lochner, M., Mahabal, A.A., Mandel, K.S., Martínez-Galarza, J.R., McEwen, J.D., Muthukrishna, D., Peiris, H.V., Peters, C.M., Setzer, C.N., Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), LSST Dark Energy Science, LSST Transient, Variable Stars, and HEP, INSPIRE

Subjects
High Energy Astrophysical Phenomena (astro-ph.HE), Cosmology and Nongalactic Astrophysics (astro-ph.CO), [PHYS.PHYS.PHYS-INS-DET] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], FOS: Physical sciences, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena, [PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph], [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Instrumentation and Methods for Astrophysics (astro-ph.IM), Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

Next-generation surveys like the Legacy Survey of Space and Time (LSST) on the Vera C. Rubin Observatory will generate orders of magnitude more discoveries of transients and variable stars than previous surveys. To prepare for this data deluge, we developed the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC), a competition which aimed to catalyze the development of robust classifiers under LSST-like conditions of a non-representative training set for a large photometric test set of imbalanced classes. Over 1,000 teams participated in PLAsTiCC, which was hosted in the Kaggle data science competition platform between Sep 28, 2018 and Dec 17, 2018, ultimately identifying three winners in February 2019. Participants produced classifiers employing a diverse set of machine learning techniques including hybrid combinations and ensemble averages of a range of approaches, among them boosted decision trees, neural networks, and multi-layer perceptrons. The strong performance of the top three classifiers on Type Ia supernovae and kilonovae represent a major improvement over the current state-of-the-art within astronomy. This paper summarizes the most promising methods and evaluates their results in detail, highlighting future directions both for classifier development and simulation needs for a next generation PLAsTiCC data set., Comment: 20 pages, 14 figures

Published
2021

55. RAPID: Early Classification of Explosive Transients using Deep Learning

Author

Muthukrishna, D, Narayan, G, Mandel, KS, Biswas, R, Hložek, R, Muthukrishna, D [0000-0002-5788-9280], Narayan, G [0000-0001-6022-0484], Mandel, KS [0000-0001-9846-4417], Biswas, R [0000-0002-5741-7195], Hložek, R [0000-0002-0965-7864], and Apollo - University of Cambridge Repository

Subjects
FOS: Computer and information sciences, Data stream, Computer Science - Machine Learning, 010504 meteorology & atmospheric sciences, Computer science, Real-time computing, virtual observatory tools, FOS: Physical sciences, Machine Learning (stat.ML), Large Synoptic Survey Telescope, 01 natural sciences, Machine Learning (cs.LG), techniques: photometric, Software, Statistics - Machine Learning, 0103 physical sciences, Time series, Instrumentation and Methods for Astrophysics (astro-ph.IM), 010303 astronomy & astrophysics, 0105 earth and related environmental sciences, High Energy Astrophysical Phenomena (astro-ph.HE), Receiver operating characteristic, business.industry, Deep learning, (stars:) supernovae: general, Astronomy and Astrophysics, Light curve, methods: data analysis, Recurrent neural network, Space and Planetary Science, Artificial intelligence, business, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena
Abstract

We present RAPID (Real-time Automated Photometric IDentification), a novel time-series classification tool capable of automatically identifying transients from within a day of the initial alert, to the full lifetime of a light curve. Using a deep recurrent neural network with Gated Recurrent Units (GRUs), we present the first method specifically designed to provide early classifications of astronomical time-series data, typing 12 different transient classes. Our classifier can process light curves with any phase coverage, and it does not rely on deriving computationally expensive features from the data, making RAPID well-suited for processing the millions of alerts that ongoing and upcoming wide-field surveys such as the Zwicky Transient Facility (ZTF), and the Large Synoptic Survey Telescope (LSST) will produce. The classification accuracy improves over the lifetime of the transient as more photometric data becomes available, and across the 12 transient classes, we obtain an average area under the receiver operating characteristic curve of 0.95 and 0.98 at early and late epochs, respectively. We demonstrate RAPID's ability to effectively provide early classifications of observed transients from the ZTF data stream. We have made RAPID available as an open-source software package (https://astrorapid.readthedocs.io) for machine learning-based alert-brokers to use for the autonomous and quick classification of several thousand light curves within a few seconds., Accepted version. 28 pages, 16 figures, 2 tables, PASP Special Issue on Methods for Time-Domain Astrophysics. Submitted: 13 December 2018, Accepted: 26 March 2019

Published
2019

56. Enabling Catalog Simulations of Transient and Variable Sources Based on LSST Cadence Strategies

Author

Biswas, R, Biswas, R, Daniel, SF, Hložek, R, Kim, AG, Yoachim, P, Biswas, R, Biswas, R, Daniel, SF, Hložek, R, Kim, AG, and Yoachim, P

Abstract

The Large Synoptic Survey Telescope (LSST) project will conduct a 10 year multi-band survey starting in 2022. Observing strategies for this survey are being actively investigated, and the science capabilities can be best forecasted on the basis of simulated strategies from the LSST Operations Simulator (OpSim). OpSim simulates a stochastic realization of the sequence of LSST pointings over the survey duration, and is based on a model of the observatory (including telescope) and historical data of observational conditions. OpSim outputs contain a record of each simulated pointing of the survey along with a complete characterization of the pointing in terms of observing conditions, and some useful quantities derived from the characteristics of the pointing. Thus, each record can be efficiently used to derive the properties of observations of all astrophysical sources found in that pointing. However, in order to obtain the time series of observations (light curves) of a set of sources, it is often more convenient to compute all observations of an astrophysical source, and iterate over sources. In this document, we describe the open source python package OpSimSummary, which allows for a convenient reordering. The objectives of this package are to provide users with an Application Programming Interface for accessing all such observations and summarizing this information in the form of intermediate data products usable by third party software such as SNANA, thereby also bridging the gap between official LSST products and preexisting simulation codes.

Published
2020

57. LiteBIRD: an all-sky cosmic microwave background probe of inflation

Author

Adrian, Lee, Ade, P. A. R., Akiba, Y., Alonso, D., Arnold, K., Aumont, J., Austermann, J., Baccigalupi, C., Banday, A. J., Banerji, R., Barreiro, R. B., Basak, S., Beall, J., Beckman, S., Bersanelli, M., Borrill, J., Boulanger, F., Brown, M. L., Bucher, M., Buzzelli, A., Calabrese, E., Casas, F. J., Challinor, A., Chan, V., Chinone, Y., Cliche, J. -F, Fabio Columbro, Cukierman, A., Curtis, D., Danto, P., Paolo de Bernardis, Haan, T., Marco De Petris, Dickinson, C., Dobbs, M., Dotani, T., Duband, L., Ducout, A., Duff, S., Duivenvoorden, A., Duval, J. -M, Ebisawa, K., Elleflot, T., Enokida, H., Eriksen, H. K., Errard, J., Essinger-Hileman, T., Finelli, F., Flauger, R., Franceschet, C., Fuskeland, U., Ganga, K., Gao, J. -R, Genova-Santos, R., Ghigna, T., Gomez, A., Gradziel, M. L., Grain, J., Grupp, F., Gruppuso, A., Gudmundsson, J. E., Halverson, N. W., Hargrave, P., Hasebe, T., Hasegawa, M., Hattori, M., Hazumi, M., Henrot-Versille, S., Herranz, D., Hill, C., Hilton, G., Hirota, Y., Hivon, E., Hložek, R., Hoang, D. -T, Hubmayr, J., Ichiki, K., Iida, T., Imada, H., Ishimura, K., Ishino, H., Jaehnig, G. C., Jones, M., Kaga, T., Kashima, S., Kataoka, Y., Katayama, N., Kawasaki, T., Keskitalo, R., Kibayashi, A., Kikuchi, T., Kimura, K., Kisner, T., Kobayashi, Y., Kogiso, N., Kogut, A., Kohri, K., Komatsu, E., Komatsu, K., Konishi, K., Krachmalnicoff, N., Kuo, C. L., Kurinsky, N., Kushino, A., Kuwata-Gonokami, M., Lamagna, Luca, Lattanzi, M., Lee, A. T., Linder, E., Maffei, B., Maino, D., Maki, M., Mangilli, A., Martínez-Gonzalez, E., Silvia Masi, Mathon, R., Matsumura, T., Mennella, A., Migliaccio, M., Minami, Y., Mistuda, K., Molinari, D., Montier, L., Morgante, G., Mot, B., Murata, Y., Murphy, J. A., Nagai, M., Nagata, R., Nakamura, S., Namikawa, T., Natoli, P., Nerval, S., Nishibori, T., Nishino, H., Nomura, Y., Noviello, F., O Sullivan, C., Ochi, H., Ogawa, H., Ohsaki, H., Ohta, I., Okada, N., Pagano, L., Alessandro Paiella, Paoletti, D., Patanchon, G., Francesco Piacentini, Giampaolo Pisano, Polenta, G., Poletti, D., Prouvé, T., Puglisi, G., Rambaud, D., Raum, C., Realini, S., Remazeilles, M., Roudil, G., Rubiño-Martın, J. A., Russell, M., Sakurai, H., Sakurai, Y., Sandri, M., Savini, G., Scott, D., Sekimoto, Y., Sherwin, B. D., Shinozaki, K., Shiraishi, M., Shirron, P., Signorelli, G., Smecher, G., Spizzi, P., Stever, S. L., Stompor, R., Sugai, H., Sugiyama, S., Suzuki, A., Suzuki, J., Switzer, E., Takaku, R., Takakura, H., Takakura, S., Takeda, Y., Taylor, A., Taylor, E., Terao, Y., Thompson, K. L., Thorne, B., Tomasi, M., Tomida, H., Trappe, N., Tristram, M., Tsuji, M., Tsujimoto, M., Tucker, C., Ullom, J., Uozumi, S., Utsunomiya, S., Lanen, J., Vermeulen, G., Vielva, P., Villa, F., Vissers, M., Vittorio, N., Voisin, F., Walker, I., Watanabe, N., Wehus, I., Weller, J., Westbrook, B., Winter, B., Wollack, E., Yamamoto, R., Yamasaki, N. Y., Yanagisawa, M., Yoshida, T., Yumoto, J., Zannoni, M., and Zonca, A.

Subjects
Settore FIS/02, Settore FIS/05
Published
2019

58. The Photometric LSST Astronomical Time-series Classification Challenge PLAsTiCC : Selection of a Performance Metric for Classification Probabilities Balancing Diverse Science Goals

Author

Malz, A., Hložek, R., Allam, T., Bahmanyar, A., Biswas, Rahul, Dai, M., Galbany, L., Ishida, E. E. O., Jha, S. W., Jones, D. O., Kessler, R., Lochner, M., Mahabal, A. A., Mandel, K. S., Martínez-Galarza, J. R., McEwen, J. D., Muthukrishna, D., Narayan, G., Peiris, Hiranya, Peters, C. M., Ponder, K., Setzer, Christian N., Malz, A., Hložek, R., Allam, T., Bahmanyar, A., Biswas, Rahul, Dai, M., Galbany, L., Ishida, E. E. O., Jha, S. W., Jones, D. O., Kessler, R., Lochner, M., Mahabal, A. A., Mandel, K. S., Martínez-Galarza, J. R., McEwen, J. D., Muthukrishna, D., Narayan, G., Peiris, Hiranya, Peters, C. M., Ponder, K., and Setzer, Christian N.

Abstract

Classification of transient and variable light curves is an essential step in using astronomical observations to develop an understanding of the underlying physical processes from which they arise. However, upcoming deep photometric surveys, including the Large Synoptic Survey Telescope (LSST), will produce a deluge of low signal-to-noise data for which traditional type estimation procedures are inappropriate. Probabilistic classification is more appropriate for such data but is incompatible with the traditional metrics used on deterministic classifications. Furthermore, large survey collaborations like LSST intend to use the resulting classification probabilities for diverse science objectives, indicating a need for a metric that balances a variety of goals. We describe the process used to develop an optimal performance metric for an open classification challenge that seeks to identify probabilistic classifiers that can serve many scientific interests. The Photometric LSST Astronomical Time-series Classification Challenge (PLASTICC) aims to identify promising techniques for obtaining classification probabilities of transient and variable objects by engaging a broader community beyond astronomy. Using mock classification probability submissions emulating realistically complex archetypes of those anticipated of PLASTICC, we compare the sensitivity of two metrics of classification probabilities under various weighting schemes, finding that both yield results that are qualitatively consistent with intuitive notions of classification performance. We thus choose as a metric for PLASTICC a weighted modification of the cross-entropy because it can be meaningfully interpreted in terms of information content. Finally, we propose extensions of our methodology to ever more complex challenge goals and suggest some guiding principles for approaching the choice of a metric of probabilistic data products.

Published
2019
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59. The Simons Observatory: science goals and forecasts

Author

Ade, P, Aguirre, J, Ahmed, Z, Aiola, S, Ali, A, Alonso, D, Alvarez, M, Arnold, K, Ashton, P, Austermann, J, Awan, H, Baccigalupi, C, Baildon, T, Barron, D, Battaglia, N, Battye, R, Baxter, E, Bazarko, A, Beall, J, Bean, R, Beck, D, Beckman, S, Beringue, B, Bianchini, F, Boada, S, Boettger, D, Bond, J, Borrill, J, Brown, M, Bruno, S, Bryan, S, Calabrese, E, Calafut, V, Calisse, P, Carron, J, Challinor, A, Chesmore, G, Chinone, Y, Chluba, J, Cho, H, Choi, S, Coppi, G, Cothard, N, Coughlin, K, Crichton, D, Crowley, K, Cukierman, A, D'Ewart, J, Dünner, R, de Haan, T, Devlin, M, Dicker, S, Didier, J, Dobbs, M, Dober, B, Duell, C, Duff, S, Duivenvoorden, A, Dunkley, J, Dusatko, J, Errard, J, Fabbian, G, Feeney, S, Ferraro, S, Fluxà, P, Freese, K, Frisch, J, Frolov, A, Fuller, G, Fuzia, B, Galitzki, N, Gallardo, P, Ghersi, J, Gao, J, Gawiser, E, Gerbino, M, Gluscevic, V, Goeckner-Wald, N, Golec, J, Gordon, S, Gralla, M, Green, D, Grigorian, A, Groh, J, Groppi, C, Guan, Y, Gudmundsson, J, Han, D, Hargrave, P, Hasegawa, M, Hasselfield, M, Hattori, M, Haynes, V, Hazumi, M, He, Y, Healy, E, Henderson, S, Hervias-Caimapo, C, Hill, C, Hill, J, Hilton, G, Hilton, M, Hincks, A, Hinshaw, G, Hložek, R, Ho, S, Howe, L, Huang, Z, Hubmayr, J, Huffenberger, K, Hughes, J, Ijjas, A, Ikape, M, Irwin, K, Jaffe, A, Jain, B, Jeong, O, Kaneko, D, Karpel, E, Katayama, N, Keating, B, Kernasovskiy, S, Keskitalo, R, Kisner, T, Kiuchi, K, Klein, J, Knowles, K, Koopman, B, Kosowsky, A, Krachmalnicoff, N, Kuenstner, S, Kuo, C, Kusaka, A, Lashner, J, Lee, A, Lee, E, Leon, D, Leung, J, Lewis, A, Li, Y, Li, Z, Limon, M, Linder, E, Lopez-Caraballo, C, Louis, T, Lowry, L, Lungu, M, Madhavacheril, M, Mak, D, Maldonado, F, Mani, H, Mates, B, Matsuda, F, Maurin, L, Mauskopf, P, May, A, Mccallum, N, Mckenney, C, Mcmahon, J, Meerburg, P, Meyers, J, Miller, A, Mirmelstein, M, Moodley, K, Munchmeyer, M, Munson, C, Naess, S, Nati, F, Navaroli, M, Newburgh, L, Nguyen, H, Niemack, M, Nishino, H, Orlowski-Scherer, J, Page, L, Partridge, B, Peloton, J, Perrotta, F, Piccirillo, L, Pisano, G, Poletti, D, Puddu, R, Puglisi, G, Raum, C, Reichardt, C, Remazeilles, M, Rephaeli, Y, Riechers, D, Rojas, F, Roy, A, Sadeh, S, Sakurai, Y, Salatino, M, Rao, M, Schaan, E, Schmittfull, M, Sehgal, N, Seibert, J, Seljak, U, Sherwin, B, Shimon, M, Sierra, C, Sievers, J, Sikhosana, P, Silva-Feaver, M, Simon, S, Sinclair, A, Siritanasak, P, Smith, K, Smith, S, Spergel, D, Staggs, S, Stein, G, Stevens, J, Stompor, R, Suzuki, A, Tajima, O, Takakura, S, Teply, G, Thomas, D, Thorne, B, Thornton, R, Trac, H, Tsai, C, Tucker, C, Ullom, J, Vagnozzi, S, Engelen, A, Lanen, J, Winkle, D, Vavagiakis, E, Vergès, C, Vissers, M, Wagoner, K, Walker, S, Ward, J, Westbrook, B, Whitehorn, N, Williams, J, Wollack, E, Xu, Z, Yu, B, Yu, C, Zago, F, Zhang, H, Zhu, N, Ade, Peter, Aguirre, James, Ahmed, Zeeshan, Aiola, Simone, Ali, Aamir, Alonso, David, Alvarez, Marcelo A., Arnold, Kam, Ashton, Peter, Austermann, Jason, Awan, Humna, Baccigalupi, Carlo, Baildon, Taylor, Barron, Darcy, Battaglia, Nick, Battye, Richard, Baxter, Eric, Bazarko, Andrew, Beall, James A., Bean, Rachel, Beck, Dominic, Beckman, Shawn, Beringue, Benjamin, Bianchini, Federico, Boada, Steven, Boettger, David, Bond, J. Richard, Borrill, Julian, Brown, Michael L., Bruno, Sarah Marie, Bryan, Sean, Calabrese, Erminia, Calafut, Victoria, Calisse, Paolo, Carron, Julien, Challinor, Anthony, Chesmore, Grace, Chinone, Yuji, Chluba, Jens, Cho, Hsiao-Mei Sherry, Choi, Steve, Coppi, Gabriele, Cothard, Nicholas F., Coughlin, Kevin, Crichton, Devin, Crowley, Kevin D., Crowley, Kevin T., Cukierman, Ari, D'Ewart, John M., Dünner, Rolando, de Haan, Tijmen, Devlin, Mark, Dicker, Simon, Didier, Joy, Dobbs, Matt, Dober, Bradley, Duell, Cody J., Duff, Shannon, Duivenvoorden, Adri, Dunkley, Jo, Dusatko, John, Errard, Josquin, Fabbian, Giulio, Feeney, Stephen, Ferraro, Simone, Fluxà, Pedro, Freese, Katherine, Frisch, Josef C., Frolov, Andrei, Fuller, George, Fuzia, Brittany, Galitzki, Nicholas, Gallardo, Patricio A., Ghersi, Jose Tomas Galvez, Gao, Jiansong, Gawiser, Eric, Gerbino, Martina, Gluscevic, Vera, Goeckner-Wald, Neil, Golec, Joseph, Gordon, Sam, Gralla, Megan, Green, Daniel, Grigorian, Arpi, Groh, John, Groppi, Chris, Guan, Yilun, Gudmundsson, Jon E., Han, Dongwon, Hargrave, Peter, Hasegawa, Masaya, Hasselfield, Matthew, Hattori, Makoto, Haynes, Victor, Hazumi, Masashi, He, Yizhou, Healy, Erin, Henderson, Shawn W., Hervias-Caimapo, Carlos, Hill, Charles A., Hill, J. Colin, Hilton, Gene, Hilton, Matt, Hincks, Adam D., Hinshaw, Gary, Hložek, Renée, Ho, Shirley, Ho, Shuay-Pwu Patty, Howe, Logan, Huang, Zhiqi, Hubmayr, Johannes, Huffenberger, Kevin, Hughes, John P., Ijjas, Anna, Ikape, Margaret, Irwin, Kent, Jaffe, Andrew H., Jain, Bhuvnesh, Jeong, Oliver, Kaneko, Daisuke, Karpel, Ethan D., Katayama, Nobuhiko, Keating, Brian, Kernasovskiy, Sarah S., Keskitalo, Reijo, Kisner, Theodore, Kiuchi, Kenji, Klein, Jeff, Knowles, Kenda, Koopman, Brian, Kosowsky, Arthur, Krachmalnicoff, Nicoletta, Kuenstner, Stephen E., Kuo, Chao-Lin, Kusaka, Akito, Lashner, Jacob, Lee, Adrian, Lee, Eunseong, Leon, David, Leung, Jason S. -Y., Lewis, Antony, Li, Yaqiong, Li, Zack, Limon, Michele, Linder, Eric, Lopez-Caraballo, Carlos, Louis, Thibaut, Lowry, Lindsay, Lungu, Marius, Madhavacheril, Mathew, Mak, Daisy, Maldonado, Felipe, Mani, Hamdi, Mates, Ben, Matsuda, Frederick, Maurin, Loïc, Mauskopf, Phil, May, Andrew, McCallum, Nialh, McKenney, Chris, McMahon, Jeff, Meerburg, P. Daniel, Meyers, Joel, Miller, Amber, Mirmelstein, Mark, Moodley, Kavilan, Munchmeyer, Moritz, Munson, Charles, Naess, Sigurd, Nati, Federico, Navaroli, Martin, Newburgh, Laura, Nguyen, Ho Nam, Niemack, Michael, Nishino, Haruki, Orlowski-Scherer, John, Page, Lyman, Partridge, Bruce, Peloton, Julien, Perrotta, Francesca, Piccirillo, Lucio, Pisano, Giampaolo, Poletti, Davide, Puddu, Roberto, Puglisi, Giuseppe, Raum, Chris, Reichardt, Christian L., Remazeilles, Mathieu, Rephaeli, Yoel, Riechers, Dominik, Rojas, Felipe, Roy, Anirban, Sadeh, Sharon, Sakurai, Yuki, Salatino, Maria, Rao, Mayuri Sathyanarayana, Schaan, Emmanuel, Schmittfull, Marcel, Sehgal, Neelima, Seibert, Joseph, Seljak, Uros, Sherwin, Blake, Shimon, Meir, Sierra, Carlos, Sievers, Jonathan, Sikhosana, Precious, Silva-Feaver, Maximiliano, Simon, Sara M., Sinclair, Adrian, Siritanasak, Praween, Smith, Kendrick, Smith, Stephen R., Spergel, David, Staggs, Suzanne T., Stein, George, Stevens, Jason R., Stompor, Radek, Suzuki, Aritoki, Tajima, Osamu, Takakura, Satoru, Teply, Grant, Thomas, Daniel B., Thorne, Ben, Thornton, Robert, Trac, Hy, Tsai, Calvin, Tucker, Carole, Ullom, Joel, Vagnozzi, Sunny, Engelen, Alexander van, Lanen, Jeff Van, Winkle, Daniel D. Van, Vavagiakis, Eve M., Vergès, Clara, Vissers, Michael, Wagoner, Kasey, Walker, Samantha, Ward, Jon, Westbrook, Ben, Whitehorn, Nathan, Williams, Jason, Williams, Joel, Wollack, Edward J., Xu, Zhilei, Yu, Byeonghee, Yu, Cyndia, Zago, Fernando, Zhang, Hezi, Zhu, Ningfeng, Ade, P, Aguirre, J, Ahmed, Z, Aiola, S, Ali, A, Alonso, D, Alvarez, M, Arnold, K, Ashton, P, Austermann, J, Awan, H, Baccigalupi, C, Baildon, T, Barron, D, Battaglia, N, Battye, R, Baxter, E, Bazarko, A, Beall, J, Bean, R, Beck, D, Beckman, S, Beringue, B, Bianchini, F, Boada, S, Boettger, D, Bond, J, Borrill, J, Brown, M, Bruno, S, Bryan, S, Calabrese, E, Calafut, V, Calisse, P, Carron, J, Challinor, A, Chesmore, G, Chinone, Y, Chluba, J, Cho, H, Choi, S, Coppi, G, Cothard, N, Coughlin, K, Crichton, D, Crowley, K, Cukierman, A, D'Ewart, J, Dünner, R, de Haan, T, Devlin, M, Dicker, S, Didier, J, Dobbs, M, Dober, B, Duell, C, Duff, S, Duivenvoorden, A, Dunkley, J, Dusatko, J, Errard, J, Fabbian, G, Feeney, S, Ferraro, S, Fluxà, P, Freese, K, Frisch, J, Frolov, A, Fuller, G, Fuzia, B, Galitzki, N, Gallardo, P, Ghersi, J, Gao, J, Gawiser, E, Gerbino, M, Gluscevic, V, Goeckner-Wald, N, Golec, J, Gordon, S, Gralla, M, Green, D, Grigorian, A, Groh, J, Groppi, C, Guan, Y, Gudmundsson, J, Han, D, Hargrave, P, Hasegawa, M, Hasselfield, M, Hattori, M, Haynes, V, Hazumi, M, He, Y, Healy, E, Henderson, S, Hervias-Caimapo, C, Hill, C, Hill, J, Hilton, G, Hilton, M, Hincks, A, Hinshaw, G, Hložek, R, Ho, S, Howe, L, Huang, Z, Hubmayr, J, Huffenberger, K, Hughes, J, Ijjas, A, Ikape, M, Irwin, K, Jaffe, A, Jain, B, Jeong, O, Kaneko, D, Karpel, E, Katayama, N, Keating, B, Kernasovskiy, S, Keskitalo, R, Kisner, T, Kiuchi, K, Klein, J, Knowles, K, Koopman, B, Kosowsky, A, Krachmalnicoff, N, Kuenstner, S, Kuo, C, Kusaka, A, Lashner, J, Lee, A, Lee, E, Leon, D, Leung, J, Lewis, A, Li, Y, Li, Z, Limon, M, Linder, E, Lopez-Caraballo, C, Louis, T, Lowry, L, Lungu, M, Madhavacheril, M, Mak, D, Maldonado, F, Mani, H, Mates, B, Matsuda, F, Maurin, L, Mauskopf, P, May, A, Mccallum, N, Mckenney, C, Mcmahon, J, Meerburg, P, Meyers, J, Miller, A, Mirmelstein, M, Moodley, K, Munchmeyer, M, Munson, C, Naess, S, Nati, F, Navaroli, M, Newburgh, L, Nguyen, H, Niemack, M, Nishino, H, Orlowski-Scherer, J, Page, L, Partridge, B, Peloton, J, Perrotta, F, Piccirillo, L, Pisano, G, Poletti, D, Puddu, R, Puglisi, G, Raum, C, Reichardt, C, Remazeilles, M, Rephaeli, Y, Riechers, D, Rojas, F, Roy, A, Sadeh, S, Sakurai, Y, Salatino, M, Rao, M, Schaan, E, Schmittfull, M, Sehgal, N, Seibert, J, Seljak, U, Sherwin, B, Shimon, M, Sierra, C, Sievers, J, Sikhosana, P, Silva-Feaver, M, Simon, S, Sinclair, A, Siritanasak, P, Smith, K, Smith, S, Spergel, D, Staggs, S, Stein, G, Stevens, J, Stompor, R, Suzuki, A, Tajima, O, Takakura, S, Teply, G, Thomas, D, Thorne, B, Thornton, R, Trac, H, Tsai, C, Tucker, C, Ullom, J, Vagnozzi, S, Engelen, A, Lanen, J, Winkle, D, Vavagiakis, E, Vergès, C, Vissers, M, Wagoner, K, Walker, S, Ward, J, Westbrook, B, Whitehorn, N, Williams, J, Wollack, E, Xu, Z, Yu, B, Yu, C, Zago, F, Zhang, H, Zhu, N, Ade, Peter, Aguirre, James, Ahmed, Zeeshan, Aiola, Simone, Ali, Aamir, Alonso, David, Alvarez, Marcelo A., Arnold, Kam, Ashton, Peter, Austermann, Jason, Awan, Humna, Baccigalupi, Carlo, Baildon, Taylor, Barron, Darcy, Battaglia, Nick, Battye, Richard, Baxter, Eric, Bazarko, Andrew, Beall, James A., Bean, Rachel, Beck, Dominic, Beckman, Shawn, Beringue, Benjamin, Bianchini, Federico, Boada, Steven, Boettger, David, Bond, J. Richard, Borrill, Julian, Brown, Michael L., Bruno, Sarah Marie, Bryan, Sean, Calabrese, Erminia, Calafut, Victoria, Calisse, Paolo, Carron, Julien, Challinor, Anthony, Chesmore, Grace, Chinone, Yuji, Chluba, Jens, Cho, Hsiao-Mei Sherry, Choi, Steve, Coppi, Gabriele, Cothard, Nicholas F., Coughlin, Kevin, Crichton, Devin, Crowley, Kevin D., Crowley, Kevin T., Cukierman, Ari, D'Ewart, John M., Dünner, Rolando, de Haan, Tijmen, Devlin, Mark, Dicker, Simon, Didier, Joy, Dobbs, Matt, Dober, Bradley, Duell, Cody J., Duff, Shannon, Duivenvoorden, Adri, Dunkley, Jo, Dusatko, John, Errard, Josquin, Fabbian, Giulio, Feeney, Stephen, Ferraro, Simone, Fluxà, Pedro, Freese, Katherine, Frisch, Josef C., Frolov, Andrei, Fuller, George, Fuzia, Brittany, Galitzki, Nicholas, Gallardo, Patricio A., Ghersi, Jose Tomas Galvez, Gao, Jiansong, Gawiser, Eric, Gerbino, Martina, Gluscevic, Vera, Goeckner-Wald, Neil, Golec, Joseph, Gordon, Sam, Gralla, Megan, Green, Daniel, Grigorian, Arpi, Groh, John, Groppi, Chris, Guan, Yilun, Gudmundsson, Jon E., Han, Dongwon, Hargrave, Peter, Hasegawa, Masaya, Hasselfield, Matthew, Hattori, Makoto, Haynes, Victor, Hazumi, Masashi, He, Yizhou, Healy, Erin, Henderson, Shawn W., Hervias-Caimapo, Carlos, Hill, Charles A., Hill, J. Colin, Hilton, Gene, Hilton, Matt, Hincks, Adam D., Hinshaw, Gary, Hložek, Renée, Ho, Shirley, Ho, Shuay-Pwu Patty, Howe, Logan, Huang, Zhiqi, Hubmayr, Johannes, Huffenberger, Kevin, Hughes, John P., Ijjas, Anna, Ikape, Margaret, Irwin, Kent, Jaffe, Andrew H., Jain, Bhuvnesh, Jeong, Oliver, Kaneko, Daisuke, Karpel, Ethan D., Katayama, Nobuhiko, Keating, Brian, Kernasovskiy, Sarah S., Keskitalo, Reijo, Kisner, Theodore, Kiuchi, Kenji, Klein, Jeff, Knowles, Kenda, Koopman, Brian, Kosowsky, Arthur, Krachmalnicoff, Nicoletta, Kuenstner, Stephen E., Kuo, Chao-Lin, Kusaka, Akito, Lashner, Jacob, Lee, Adrian, Lee, Eunseong, Leon, David, Leung, Jason S. -Y., Lewis, Antony, Li, Yaqiong, Li, Zack, Limon, Michele, Linder, Eric, Lopez-Caraballo, Carlos, Louis, Thibaut, Lowry, Lindsay, Lungu, Marius, Madhavacheril, Mathew, Mak, Daisy, Maldonado, Felipe, Mani, Hamdi, Mates, Ben, Matsuda, Frederick, Maurin, Loïc, Mauskopf, Phil, May, Andrew, McCallum, Nialh, McKenney, Chris, McMahon, Jeff, Meerburg, P. Daniel, Meyers, Joel, Miller, Amber, Mirmelstein, Mark, Moodley, Kavilan, Munchmeyer, Moritz, Munson, Charles, Naess, Sigurd, Nati, Federico, Navaroli, Martin, Newburgh, Laura, Nguyen, Ho Nam, Niemack, Michael, Nishino, Haruki, Orlowski-Scherer, John, Page, Lyman, Partridge, Bruce, Peloton, Julien, Perrotta, Francesca, Piccirillo, Lucio, Pisano, Giampaolo, Poletti, Davide, Puddu, Roberto, Puglisi, Giuseppe, Raum, Chris, Reichardt, Christian L., Remazeilles, Mathieu, Rephaeli, Yoel, Riechers, Dominik, Rojas, Felipe, Roy, Anirban, Sadeh, Sharon, Sakurai, Yuki, Salatino, Maria, Rao, Mayuri Sathyanarayana, Schaan, Emmanuel, Schmittfull, Marcel, Sehgal, Neelima, Seibert, Joseph, Seljak, Uros, Sherwin, Blake, Shimon, Meir, Sierra, Carlos, Sievers, Jonathan, Sikhosana, Precious, Silva-Feaver, Maximiliano, Simon, Sara M., Sinclair, Adrian, Siritanasak, Praween, Smith, Kendrick, Smith, Stephen R., Spergel, David, Staggs, Suzanne T., Stein, George, Stevens, Jason R., Stompor, Radek, Suzuki, Aritoki, Tajima, Osamu, Takakura, Satoru, Teply, Grant, Thomas, Daniel B., Thorne, Ben, Thornton, Robert, Trac, Hy, Tsai, Calvin, Tucker, Carole, Ullom, Joel, Vagnozzi, Sunny, Engelen, Alexander van, Lanen, Jeff Van, Winkle, Daniel D. Van, Vavagiakis, Eve M., Vergès, Clara, Vissers, Michael, Wagoner, Kasey, Walker, Samantha, Ward, Jon, Westbrook, Ben, Whitehorn, Nathan, Williams, Jason, Williams, Joel, Wollack, Edward J., Xu, Zhilei, Yu, Byeonghee, Yu, Cyndia, Zago, Fernando, Zhang, Hezi, and Zhu, Ningfeng

Abstract

The Simons Observatory (SO) is a new cosmic microwave background experiment being built on Cerro Toco in Chile, due to begin observations in the early 2020s. We describe the scientific goals of the experiment, motivate the design, and forecast its performance. SO will measure the temperature and polarization anisotropy of the cosmic microwave background in six frequency bands centered at: 27, 39, 93, 145, 225 and 280 GHz. The initial con figuration of SO will have three small-aperture 0.5-m telescopes and one large-aperture 6-m telescope, with a total of 60,000 cryogenic bolometers. Our key science goals are to characterize the primordial perturbations, measure the number of relativistic species and the mass of neutrinos, test for deviations from a cosmological constant, improve our understanding of galaxy evolution, and constrain the duration of reionization. The small aperture telescopes will target the largest angular scales observable from Chile, mapping approximate to 10% of the sky to a white noise level of 2 mu K-arcmin in combined 93 and 145 GHz bands, to measure the primordial tensor-to-scalar ratio, r, at a target level of sigma(r) = 0.003. The large aperture telescope will map approximate to 40% of the sky at arcminute angular resolution to an expected white noise level of 6 mu K-arcmin in combined 93 and 145 GHz bands, overlapping with the majority of the Large Synoptic Survey Telescope sky region and partially with the Dark Energy Spectroscopic Instrument. With up to an order of magnitude lower polarization noise than maps from the Planck satellite, the high-resolution sky maps will constrain cosmological parameters derived from the damping tail, gravitational lensing of the microwave background, the primordial bispectrum, and the thermal and kinematic Sunyaev-Zel'dovich effects, and will aid in delensing the large-angle polarization signal to measure the tensor-to-scalar ratio. The survey will also provide a legacy catalog of 16,000 galaxy clusters and

Published
2019

60. Weak-lensing mass calibration of the Atacama Cosmology Telescope equatorial Sunyaev-Zeldovich cluster sample with the Canada-France-Hawaii telescope stripe 82 survey

Author

Battaglia, N., primary, Leauthaud, A., additional, Miyatake, H., additional, Hasselfield, M., additional, Gralla, M.B., additional, Allison, R., additional, Bond, J.R., additional, Calabrese, E., additional, Crichton, D., additional, Devlin, M.J., additional, Dunkley, J., additional, Dünner, R., additional, Erben, T., additional, Ferrara, S., additional, Halpern, M., additional, Hilton, M., additional, Hill, J.C., additional, Hincks, A.D., additional, Hložek, R., additional, Huffenberger, K.M., additional, Hughes, J.P., additional, Kneib, J.P., additional, Kosowsky, A., additional, Makler, M., additional, Marriage, T.A., additional, Menanteau, F., additional, Miller, L., additional, Moodley, K., additional, Moraes, B., additional, Niemack, M.D., additional, Page, L., additional, Shan, H., additional, Sehgal, N., additional, Sherwin, B.D., additional, Sievers, J.L., additional, Sifón, C., additional, Spergel, D.N., additional, Staggs, S.T., additional, Taylor, J.E., additional, Thornton, R., additional, Waerbeke, L. van, additional, and Wollack, E.J., additional

Published
2016
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61. CCAT-Prime: science with an ultra-widefield submillimeter observatory on Cerro Chajnantor

Author

Marshall, Heather K., Spyromilio, Jason, Stacey, G. J., Aravena, M., Basu, K., Battaglia, N., Beringue, B., Bertoldi, F., Bond, J. R., Breysse, P., Bustos, R., Chapman, S., Chung, D. T., Cothard, N., Erler, J., Fich, M., Foreman, S., Gallardo, P., Giovanelli, R., Graf, U. U., Haynes, M. P., Herrera-Camus, R., Herter, T. L., Hložek, R., Johnstone, D., Keating, L., Magnelli, B., Meerburg, D., Meyers, J., Murray, N., Niemack, M., Nikola, T., Nolta, M., Parshley, S. C., Riechers, D. A., Schilke, P., Scott, D., Stein, G., Stevens, J., Stutzki, J., Vavagiakis, E. M., and Viero, M. P.

Published
2018
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62. The Simons Observatory: science goals and forecasts

Author

Ade, Peter, Aguirre, James, Ahmed, Zeeshan, Aiola, Simone, Ali, Aamir, Alonso, David, Alvarez, Marcelo A., Arnold, Kam, Ashton, Peter, Austermann, Jason, Awan, Humna, Baccigalupi, Carlo, Baildon, Taylor, Barron, Darcy, Battaglia, Nick, Battye, Richard, Baxter, Eric, Bazarko, Andrew, Beall, James A., Bean, Rachel, Beck, Dominic, Beckman, Shawn, Beringue, Benjamin, Bianchini, Federico, Boada, Steven, Boettger, David, Richard Bond, J., Borrill, Julian, Brown, Michael L., Bruno, Sarah Marie, Bryan, Sean, Calabrese, Erminia, Calafut, Victoria, Calisse, Paolo, Carron, Julien, Challinor, Anthony, Chesmore, Grace, Chinone, Yuji, Chluba, Jens, Cho, Hsiao-Mei Sherry, Choi, Steve, Coppi, Gabriele, Cothard, Nicholas F., Coughlin, Kevin, Crichton, Devin, Crowley, Kevin D., Crowley, Kevin T., Cukierman, Ari, D`Ewart, Mitch, Dünner, Rolando, de Haan, Tijmen, Devlin, Mark, Dicker, Simon, DIDIER, JOY, Dobbs, Matt, Dober, Bradley, Duell, Cody, Duff, Shannon, Duivenvoorden, Adri, Dunkley, Jo, Dusatko, John, Errard, Josquin, Fabbian, Giulio, Feeney, Stephen, Ferraro, Simone, Fluxà, Pedro, Freese, Katherine, Frisch, Josef, Frolov, Andrei, Fuller, George, Fuzia, Brittany, Galitzki, Nicholas, Gallardo, Patricio A., Galvez Ghersi, Jose Tomas, Gao, Jiansong, Gawiser, Eric, Gerbino, Martina, Gluscevic, Vera, Goeckner-Wald, Neil, Golec, Joseph, Gordon, Sam, Gralla, Megan, Green, Daniel, Grigorian, Arpi, Groh, John, Groppi, Chris, Guan, Yilun, Gudmundsson, Jon E., Han, Dongwon, Hargrave, Peter, Hasegawa, Masaya, Hasselfield, Matthew, Hattori, Makoto, Haynes, Victor, Hazumi, Masashi, He, Yizhou, Healy, Erin, Henderson, Shawn, Hervias-Caimapo, Carlos, Hill, Charles A., Colin Hill, J., HILTON, GENE, Hilton, Matt, Hincks, Adam D., Hinshaw, Gary, Hložek, Renée, Ho, Shirley, Ho, Shuay-Pwu Patty, Howe, Logan, Huang, Zhiqi, Hubmayr, Johannes, Huffenberger, Kevin, Hughes, John P., Ijjas, Anna, Ikape, Margaret, Irwin, Kent, Jaffe, Andrew H., Jain, Bhuvnesh, Jeong, Oliver, Kaneko, Daisuke, Karpel, Ethan, Katayama, Nobuhiko, Keating, Brian, Kernasovski, Sarah, Keskitalo, Reijo, Kisner, Theodore, Kiuchi, Kenji, Klein, Jeff, Knowles, Kenda, Koopman, Brian, Kosowsky, Arthur, Krachmalnicoff, Nicoletta, Kuenstner, Stephen, Kuo, Chao-Lin, Kusaka, Akito, Lashner, Jacob, Lee, Adrian, Lee, Eunseong, Leon, David, Leung, Jason S.-Y., Lewis, Antony, Li, Yaqiong, Li, Zack, Limon, Michele, Linder, Eric, Lopez-Caraballo, Carlos, Louis, Thibaut, Lowry, Lindsay, Lungu, Marius, Madhavacheril, Mathew, Mak, Daisy, Maldonado, Felipe, Mani, Hamdi, Mates, Ben, Matsuda, Frederick, Maurin, Loïc, Mauskopf, Phil, May, Andrew, McCallum, Nialh, McKenney, Chris, McMahon, Jeff, Daniel Meerburg, P., Meyers, Joel, Miller, Amber, Mirmelstein, Mark, Moodley, Kavilan, Munchmeyer, Moritz, Munson, Charles, Naess, Sigurd, Nati, Federico, Navaroli, Martin, Newburgh, Laura, Nguyen, Ho Nam, Niemack, Mike, Nishino, Haruki, Orlowski-Scherer, John, Page, Lyman, Partridge, Bruce, Peloton, Julien, Perrotta, Francesca, Piccirillo, Lucio, Pisano, Giampaolo, Poletti, Davide, Puddu, Roberto, Puglisi, Giuseppe, Raum, Chris, Reichardt, Christian L., Remazeilles, Mathieu, Rephaeli, Yoel, Riechers, Dominik, Rojas, Felipe, Roy, Anirban, Sadeh, Sharon, Sakurai, Yuki, Salatino, Maria, Rao, Mayuri Sathyanarayana, Schaan, Emmanuel, Schmittfull, Marcel, Sehgal, Neelima, Seibert, Joseph, Seljak, Uros, Sherwin, Blake, Shimon, Meir, Sierra, Carlos, Sievers, Jonathan, Sikhosana, Precious, Silva-Feaver, Max, Simon, Sara M., Sinclair, Adrian, Siritanasak, Praween, Smith, Kendrick, Smith, Steve, Spergel, David, Staggs, Suzanne, Stein, George, Stevens, Jason R., Stompor, Radek, Suzuki, Aritoki, Tajima, Osamu, Takakura, Satoru, Teply, Grant, Thomas, Daniel B., Thorne, Ben, Thornton, Robert, Trac, Hy, Tsai, Calvin, Tucker, Carole, Ullom, Joel, Vagnozzi, Sunny, van Engelen, Alexander, Van Lanen, Jeff, van Winkle, Dan, Vavagiakis, Eve M., Vergès, Clara, Vissers, Michael, Wagoner, Kasey, Walker, Samantha, Ward, Jon, WESTBROOK, BEN, Whitehorn, Nathan, Williams, Jason, Williams, Joel, Wollack, Edward J., Xu, Zhilei, Ye, Jiani, Yu, Byeonghee, Yu, Cyndria, Zago, Fernando, Zhang, Hezi, Zhu, Ningfeng, AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Institut d'astrophysique spatiale (IAS), Université Paris-Sud - Paris 11 (UP11)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Accélérateur Linéaire (LAL), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Simons Observatory, Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Université Paris-Sud - Paris 11 (UP11)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), ANR-17-CE31-0022,BxB,Champs B interstellaires et modes B de l'inflation(2017), Ade, P, Aguirre, J, Ahmed, Z, Aiola, S, Ali, A, Alonso, D, Alvarez, M, Arnold, K, Ashton, P, Austermann, J, Awan, H, Baccigalupi, C, Baildon, T, Barron, D, Battaglia, N, Battye, R, Baxter, E, Bazarko, A, Beall, J, Bean, R, Beck, D, Beckman, S, Beringue, B, Bianchini, F, Boada, S, Boettger, D, Bond, J, Borrill, J, Brown, M, Bruno, S, Bryan, S, Calabrese, E, Calafut, V, Calisse, P, Carron, J, Challinor, A, Chesmore, G, Chinone, Y, Chluba, J, Cho, H, Choi, S, Coppi, G, Cothard, N, Coughlin, K, Crichton, D, Crowley, K, Cukierman, A, D'Ewart, J, Dünner, R, de Haan, T, Devlin, M, Dicker, S, Didier, J, Dobbs, M, Dober, B, Duell, C, Duff, S, Duivenvoorden, A, Dunkley, J, Dusatko, J, Errard, J, Fabbian, G, Feeney, S, Ferraro, S, Fluxà, P, Freese, K, Frisch, J, Frolov, A, Fuller, G, Fuzia, B, Galitzki, N, Gallardo, P, Ghersi, J, Gao, J, Gawiser, E, Gerbino, M, Gluscevic, V, Goeckner-Wald, N, Golec, J, Gordon, S, Gralla, M, Green, D, Grigorian, A, Groh, J, Groppi, C, Guan, Y, Gudmundsson, J, Han, D, Hargrave, P, Hasegawa, M, Hasselfield, M, Hattori, M, Haynes, V, Hazumi, M, He, Y, Healy, E, Henderson, S, Hervias-Caimapo, C, Hill, C, Hill, J, Hilton, G, Hilton, M, Hincks, A, Hinshaw, G, Hložek, R, Ho, S, Howe, L, Huang, Z, Hubmayr, J, Huffenberger, K, Hughes, J, Ijjas, A, Ikape, M, Irwin, K, Jaffe, A, Jain, B, Jeong, O, Kaneko, D, Karpel, E, Katayama, N, Keating, B, Kernasovskiy, S, Keskitalo, R, Kisner, T, Kiuchi, K, Klein, J, Knowles, K, Koopman, B, Kosowsky, A, Krachmalnicoff, N, Kuenstner, S, Kuo, C, Kusaka, A, Lashner, J, Lee, A, Lee, E, Leon, D, Leung, J, Lewis, A, Li, Y, Li, Z, Limon, M, Linder, E, Lopez-Caraballo, C, Louis, T, Lowry, L, Lungu, M, Madhavacheril, M, Mak, D, Maldonado, F, Mani, H, Mates, B, Matsuda, F, Maurin, L, Mauskopf, P, May, A, Mccallum, N, Mckenney, C, Mcmahon, J, Meerburg, P, Meyers, J, Miller, A, Mirmelstein, M, Moodley, K, Munchmeyer, M, Munson, C, Naess, S, Nati, F, Navaroli, M, Newburgh, L, Nguyen, H, Niemack, M, Nishino, H, Orlowski-Scherer, J, Page, L, Partridge, B, Peloton, J, Perrotta, F, Piccirillo, L, Pisano, G, Poletti, D, Puddu, R, Puglisi, G, Raum, C, Reichardt, C, Remazeilles, M, Rephaeli, Y, Riechers, D, Rojas, F, Roy, A, Sadeh, S, Sakurai, Y, Salatino, M, Rao, M, Schaan, E, Schmittfull, M, Sehgal, N, Seibert, J, Seljak, U, Sherwin, B, Shimon, M, Sierra, C, Sievers, J, Sikhosana, P, Silva-Feaver, M, Simon, S, Sinclair, A, Siritanasak, P, Smith, K, Smith, S, Spergel, D, Staggs, S, Stein, G, Stevens, J, Stompor, R, Suzuki, A, Tajima, O, Takakura, S, Teply, G, Thomas, D, Thorne, B, Thornton, R, Trac, H, Tsai, C, Tucker, C, Ullom, J, Vagnozzi, S, Engelen, A, Lanen, J, Winkle, D, Vavagiakis, E, Vergès, C, Vissers, M, Wagoner, K, Walker, S, Ward, J, Westbrook, B, Whitehorn, N, Williams, J, Wollack, E, Xu, Z, Yu, B, Yu, C, Zago, F, Zhang, H, Zhu, N, Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7), and High-Energy Frontier

Subjects
CMBR polarisation, Cosmology and Nongalactic Astrophysics (astro-ph.CO), media_common.quotation_subject, Cosmic microwave background, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, 7. Clean energy, law.invention, Telescope, symbols.namesake, Settore FIS/05 - Astronomia e Astrofisica, Observatory, law, 0103 physical sciences, CMBR experiments, Cosmological parameters from CMBR, Astronomy and Astrophysics, Planck, Reionization, QC, Astrophysics::Galaxy Astrophysics, media_common, Physics, 010308 nuclear & particles physics, Settore FIS/05, Astrophysics::Instrumentation and Methods for Astrophysics, cosmological parameters from CMBR, Nuclear & Particles Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Gravitational lens, 13. Climate action, Sky, symbols, astro-ph.CO, Neutrino, Cosmology and Nongalactic Astrophysics, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astronomical and Space Sciences, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

The Simons Observatory (SO) is a new cosmic microwave background experiment being built on Cerro Toco in Chile, due to begin observations in the early 2020s. We describe the scientific goals of the experiment, motivate the design, and forecast its performance. SO will measure the temperature and polarization anisotropy of the cosmic microwave background in six frequency bands: 27, 39, 93, 145, 225 and 280 GHz. The initial configuration of SO will have three small-aperture 0.5-m telescopes (SATs) and one large-aperture 6-m telescope (LAT), with a total of 60,000 cryogenic bolometers. Our key science goals are to characterize the primordial perturbations, measure the number of relativistic species and the mass of neutrinos, test for deviations from a cosmological constant, improve our understanding of galaxy evolution, and constrain the duration of reionization. The SATs will target the largest angular scales observable from Chile, mapping ~10% of the sky to a white noise level of 2 $\mu$K-arcmin in combined 93 and 145 GHz bands, to measure the primordial tensor-to-scalar ratio, $r$, at a target level of $\sigma(r)=0.003$. The LAT will map ~40% of the sky at arcminute angular resolution to an expected white noise level of 6 $\mu$K-arcmin in combined 93 and 145 GHz bands, overlapping with the majority of the LSST sky region and partially with DESI. With up to an order of magnitude lower polarization noise than maps from the Planck satellite, the high-resolution sky maps will constrain cosmological parameters derived from the damping tail, gravitational lensing of the microwave background, the primordial bispectrum, and the thermal and kinematic Sunyaev-Zel'dovich effects, and will aid in delensing the large-angle polarization signal to measure the tensor-to-scalar ratio. The survey will also provide a legacy catalog of 16,000 galaxy clusters and more than 20,000 extragalactic sources., Comment: This paper presents an overview of the Simons Observatory science goals, details about the instrument will be presented in a companion paper. The author contribution to this paper is available at https://simonsobservatory.org/publications.php (Abstract abridged) -- matching version published in JCAP

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