Title: | THEMIS: A Parameter Estimation Framework for the Event Horizon Telescope |
Authors: | Broderick, Avery E. Gold, Roman Karami, Mansour Preciado-López, Jorge A. Tiede, Paul Pu, Hung-Yi Akiyama, Kazunori Alberdi, Antxon Alef, Walter Asada, Keiichi Azulay, Rebecca Baczko, Anne-Kathrin Baloković, Mislav Barrett, John Bintley, Dan Blackburn, Lindy Boland, Wilfred Bouman, Katherine L. Bower, Geoffrey C. Bremer, Michael Brinkerink, Christiaan D. Brissenden, Roger Britzen, Silke Broguiere, Dominique Bronzwaer, Thomas Byun, Do-Young Carlstrom, John E. Chael, Andrew Chatterjee, Shami Chatterjee, Koushik Chen, Ming-Tang Chen, Yongjun Cho, Ilje Conway, John E. Cordes, James M. Crew, Geoffrey B. Cui, Yuzhu Davelaar, Jordy De Laurentis, Mariafelicia Deane, Roger Dempsey, Jessica Desvignes, Gregory Doeleman, Sheperd S. Eatough, Ralph P. Falcke, Heino Fish, Vincent L. Fomalont, Ed Fraga-Encinas, Raquel Friberg, Per Fromm, Christian M. Galison, Peter Gammie, Charles F. García, Roberto Gentaz, Olivier Georgiev, Boris GODDI, CIRIACO Gómez, José L. Gu, Minfeng Gurwell, Mark Hada, Kazuhiro Hecht, Michael H. Hesper, Ronald Ho, Luis C. Ho, Paul Honma, Mareki Huang, Chih-Wei L. Huang, Lei Hughes, David H. Inoue, Makoto Issaoun, Sara James, David J. Janssen, Michael Jeter, Britton Jiang, Wu Jiménez-Rosales, Alejandra Johnson, Michael D. Jorstad, Svetlana Jung, Taehyun Karuppusamy, Ramesh Kawashima, Tomohisa Keating, Garrett K. Kettenis, Mark Kim, Jae-Young Kim, Jongsoo Kino, Motoki Koay, Jun Yi Koch, Patrick M. Koyama, Shoko Kramer, Michael Kramer, Carsten Krichbaum, Thomas P. Kuo, Cheng-Yu Lee, Sang-Sung Li, Yan-Rong Li, Zhiyuan Lindqvist, Michael LICO, Rocco Liu, Kuo LIUZZO, Elisabetta Teodorina Lo, Wen-Ping Lobanov, Andrei P. Loinard, Laurent Lonsdale, Colin Lu, Ru-Sen MacDonald, Nicholas R. Mao, Jirong Marscher, Alan P. Martí-Vidal, Iván Matsushita, Satoki Matthews, Lynn D. Menten, Karl M. Mizuno, Yosuke Mizuno, Izumi Moran, James M. Moriyama, Kotaro Moscibrodzka, Monika Müller, Cornelia Nagai, Hiroshi Nagar, Neil M. Nakamura, Masanori Narayan, Ramesh Narayanan, Gopal Natarajan, Iniyan Neri, Roberto Ni, Chunchong Noutsos, Aristeidis Okino, Hiroki Olivares, Héctor Ortiz-León, Gisela N. Oyama, Tomoaki Palumbo, Daniel C. M. Park, Jongho Pen, Ue-Li Pesce, Dominic W. Piétu, Vincent Plambeck, Richard PopStefanija, Aleksandar Porth, Oliver Prather, Ben Ramakrishnan, Venkatessh Rao, Ramprasad Rawlings, Mark G. Raymond, Alexander W. Rezzolla, Luciano Ripperda, Bart Roelofs, Freek Rogers, Alan Ros, Eduardo Rose, Mel Rottmann, Helge Ruszczyk, Chet Ryan, Benjamin R. RYGL, Kazi Lucie Jessica Sánchez, Salvador Sánchez-Arguelles, David Sasada, Mahito Savolainen, Tuomas Schloerb, F. Peter Schuster, Karl-Friedrich Shao, Lijing Shen, Zhiqiang Small, Des Sohn, Bong Won SooHoo, Jason Tazaki, Fumie Tilanus, Remo P. J. Titus, Michael Toma, Kenji Torne, Pablo Traianou, Efthalia Trippe, Sascha Tsuda, Shuichiro van Bemmel, Ilse van Langevelde, Huib Jan van Rossum, Daniel R. Wagner, Jan Wardle, John Weintroub, Jonathan Wex, Norbert Wharton, Robert Wielgus, Maciek Wong, George N. Wu, Qingwen Yoon, Doosoo Young, André Young, Ken Younsi, Ziri Yuan, Feng Yuan, Ye-Fei Zensus, J. Anton Zhao, Guangyao Zhao, Shan-Shan Zhu, Ziyan Event Horizon Telescope Collaboration |
Issue Date: | 2020 |
Journal: | THE ASTROPHYSICAL JOURNAL |
Number: | 897 |
Issue: | 2 |
First Page: | 139 |
Abstract: | The Event Horizon Telescope (EHT) provides the unprecedented ability to directly resolve the structure and dynamics of black hole emission regions on scales smaller than their horizons. This has the potential to critically probe the mechanisms by which black holes accrete and launch outflows, and the structure of supermassive black hole spacetimes. However, accessing this information is a formidable analysis challenge for two reasons. First, the EHT natively produces a variety of data types that encode information about the image structure in nontrivial ways; these are subject to a variety of systematic effects associated with very long baseline interferometry and are supplemented by a wide variety of auxiliary data on the primary EHT targets from decades of other observations. Second, models of the emission regions and their interaction with the black hole are complex, highly uncertain, and computationally expensive to construct. As a result, the scientific utilization of EHT observations requires a flexible, extensible, and powerful analysis framework. We present such a framework, THEMIS, which defines a set of interfaces between models, data, and sampling algorithms that facilitates future development. We describe the design and currently existing components of THEMIS, how THEMIS has been validated thus far, and present additional analyses made possible by THEMIS that illustrate its capabilities. Importantly, we demonstrate that THEMIS is able to reproduce prior EHT analyses, extend these, and do so in a computationally efficient manner that can efficiently exploit modern high-performance computing facilities. THEMIS has already been used extensively in the scientific analysis and interpretation of the first EHT observations of M87. |
URI: | http://hdl.handle.net/20.500.12386/31439 |
URL: | https://iopscience.iop.org/article/10.3847/1538-4357/ab91a4 |
ISSN: | 0004-637X |
DOI: | 10.3847/1538-4357/ab91a4 |
Bibcode ADS: | 2020ApJ...897..139B |
Fulltext: | open |
Appears in Collections: | 1.01 Articoli in rivista
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