Beecroft Institute for Particle Astrophysics and Cosmology: publications

Galaxies flowing in the oriented saddle frame of the cosmic web

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 483:3 (2019) 3227-3254

Authors:

K Kraljic, C Pichon, Y Dubois, S Codis, C Cadiou, J Devriendt, M Musso, C Welker, S Arnouts, HS Hwang, C Laigle, S Peirani, A Slyz, M Treyer, D Vibert

Identification of low surface brightness tidal features in galaxies using convolutional neural networks

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 483:3 (2019) 2968-2982

Authors:

Mike Walmsley, Annette MN Ferguson, Robert G Mann, Chris J Lintott

LiteBIRD: A Satellite for the Studies of B-Mode Polarization and Inflation from Cosmic Background Radiation Detection

JOURNAL OF LOW TEMPERATURE PHYSICS 194:5-6 (2019) 443-452

Authors:

M Hazumi, PAR Ade, Y Akiba, D Alonso, K Arnold, J Aumont, C Baccigalupi, D Barron, S Basak, S Beckman, J Borrill, F Boulanger, M Bucher, E Calabrese, Y Chinone, S Cho, A Cukierman, DW Curtis, T de Haan, M Dobbs, A Dominjon, T Dotani, L Duband, A Ducout, J Dunkley, JM Duval, T Elleflot, HK Eriksen, J Errard, J Fischer, T Fujino, T Funaki, U Fuskeland, K Ganga, N Goeckner-Wald, J Grain, NW Halverson, T Hamada, T Hasebe, M Hasegawa, K Hattori, M Hattori, L Hayes, N Hidehira, CA Hill, G Hilton, J Hubmayr, K Ichiki, T Iida, H Imada, M Inoue, Y Inoue, KD Irwin, H Ishino, O Jeong, H Kanai, D Kaneko, S Kashima, N Katayama, T Kawasaki, SA Kernasovskiy, R Keskitalo, A Kibayashi, Y Kida, K Kimura, T Kisner, K Kohri, E Komatsu, K Komatsu, CL Kuo, NA Kurinsky, A Kusaka, A Lazarian, AT Lee, D Li, E Linder, B Maffei, A Mangilli, M Maki, T Matsumura, S Matsuura, D Meilhan, S Mima, Y Minami, K Mitsuda, L Montier, M Nagai, T Nagasaki, R Nagata, M Nakajima, S Nakamura, T Namikawa, M Naruse, H Nishino, T Nitta, T Noguchi, H Ogawa, S Oguri, N Okada, A Okamoto, T Okamura, C Otani, G Patanchon, G Pisano, G Rebeiz, M Remazeilles, PL Richards, S Sakai, Y Sakurai, Y Sato, N Sato, M Sawada, Y Segawa, Y Sekimoto, U Seljak, BD Sherwin, T Shimizu, K Shinozaki, R Stompor, H Sugai, H Sugita, A Suzuki, J Suzuki, O Tajima, S Takada, R Takaku, S Takakura, S Takatori, D Tanabe, E Taylor, KL Thompson, B Thorne, T Tomaru, T Tomida, N Tomita, M Tristram, C Tucker, P Turin, M Tsujimoto, S Uozumi, S Utsunomiya, Y Uzawa, F Vansyngel, IK Wehus, B Westbrook, M Willer, N Whitehorn, Y Yamada, R Yamamoto, N Yamasaki, T Yamashita, M Yoshida

Machine Learning for the Zwicky Transient Facility

PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC 131:997 (2019) ARTN 038002

Authors:

Ashish Mahabal, Umaa Rebbapragada, Richard Walters, Frank J Masci, Nadejda Blagorodnova, Jan van Roestel, Quan-Zhi Ye, Rahul Biswas, Kevin Burdge, Chan-Kao Chang, Dmitry A Duev, V Zach Golkhou, Adam A Miller, Jakob Nordin, Charlotte Ward, Scott Adams, Eric C Bellm, Doug Branton, Brian Bue, Chris Cannella, Andrew Connolly, Richard Dekany, Ulrich Feindt, Tiara Hung, Lucy Fortson, Sara Frederick, C Fremling, Suvi Gezari, Matthew Graham, Steven Groom, Mansi M Kasliwal, Shrinivas Kulkarni, Thomas Kupfer, Hsing Wen Lin, Chris Lintott, Ragnhild Lunnan, John Parejko, Thomas A Prince, Reed Riddle, Ben Rusholme, Nicholas Saunders, Nima Sedaghat, David L Shupe, Leo P Singer, Maayane T Soumagnac, Paula Szkody, Yutaro Tachibana, Kushal Tirumala, Sjoert van Velzen, Darryl Wright

The role of redundancy in blind signal estimation for multiple gravitational wave detectors

International Journal of Modern Physics D World Scientific Pub Co Pte Lt 28:04 (2019) 1930009-1930009

Authors:

Hao Liu, James Creswell, Sebastian von Hausegger, Pavel Naselsky, Andrew D Jackson

Abstract:

In this work, we extend our previous blind GW signal estimation method [H. Liu, J. Creswell, S. von Hausegger, A. D. Jackson and P. Naselsky, J. Cosmol. Astropart. Phys. 2 (2018) 013] to the case of multiple detectors and show that, with a full use of redundancy, it gives promising results, e.g. a faster decay of fluctuations than that expected from the central limit theorem. This method, whose design explicitly accounts for redundancy in multiple measurements, considerably improves the efficiency of signal extraction in a multi-detector network.

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