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A Real Time Processing System for Big Data in Astronomy: Applications to HERA

Authors :
La Plante, Paul
Williams, Peter K. G.
Kolopanis, Matthew
Dillon, Joshua S.
Beardsley, Adam P.
Kern, Nicholas S.
Wilensky, Michael
Ali, Zaki S.
Abdurashidova, Zara
Aguirre, James E.
Alexander, Paul
Balfour, Yanga
Bernardi, Gianni
Billings, Tashalee S.
Bowman, Judd D.
Bradley, Richard F.
Bull, Phil
Burba, Jacob
Carey, Steve
Carilli, Chris L.
Cheng, Carina
DeBoer, David R.
Dexter, Matt
Acedo, Eloy de Lera
Ely, John
Ewall-Wice, Aaron
Fagnoni, Nicolas
Fritz, Randall
Furlanetto, Steven R.
Gale-Sides, Kingsley
Glendenning, Brian
Gorthi, Deepthi
Greig, Bradley
Grobbelaar, Jaspar
Halday, Ziyaad
Hazelton, Bryna J.
Hewitt, Jacqueline N.
Hickish, Jack
Jacobs, Daniel C.
Julius, Austin
Kerrigan, Joshua
Kittiwisit, Piyanat
Kohn, Saul A.
Lanman, Adam
Lekalake, Telalo
Lewis, David
Liu, Adrian
MacMahon, David
Malan, Lourence
Malgas, Cresshim
Maree, Matthys
Martinot, Zachary E.
Matsetela, Eunice
Mesinger, Andrei
Molewa, Mathakane
Morales, Miguel F.
Mosiane, Tshegofalang
Murray, Steven
Neben, Abraham R.
Nikolic, Bojan
Parsons, Aaron R.
Pascua, Robert
Patra, Nipanjana
Pieterse, Samantha
Pober, Jonathan C.
Razavi-Ghods, Nima
Ringuette, Jon
Robnett, James
Rosie, Kathryn
Santos, Mario G.
Sims, Peter
Smith, Craig
Syce, Angelo
Thyagarajan, Nithyanandan
Zheng, Haoxuan
La Plante, Paul
Williams, Peter K. G.
Kolopanis, Matthew
Dillon, Joshua S.
Beardsley, Adam P.
Kern, Nicholas S.
Wilensky, Michael
Ali, Zaki S.
Abdurashidova, Zara
Aguirre, James E.
Alexander, Paul
Balfour, Yanga
Bernardi, Gianni
Billings, Tashalee S.
Bowman, Judd D.
Bradley, Richard F.
Bull, Phil
Burba, Jacob
Carey, Steve
Carilli, Chris L.
Cheng, Carina
DeBoer, David R.
Dexter, Matt
Acedo, Eloy de Lera
Ely, John
Ewall-Wice, Aaron
Fagnoni, Nicolas
Fritz, Randall
Furlanetto, Steven R.
Gale-Sides, Kingsley
Glendenning, Brian
Gorthi, Deepthi
Greig, Bradley
Grobbelaar, Jaspar
Halday, Ziyaad
Hazelton, Bryna J.
Hewitt, Jacqueline N.
Hickish, Jack
Jacobs, Daniel C.
Julius, Austin
Kerrigan, Joshua
Kittiwisit, Piyanat
Kohn, Saul A.
Lanman, Adam
Lekalake, Telalo
Lewis, David
Liu, Adrian
MacMahon, David
Malan, Lourence
Malgas, Cresshim
Maree, Matthys
Martinot, Zachary E.
Matsetela, Eunice
Mesinger, Andrei
Molewa, Mathakane
Morales, Miguel F.
Mosiane, Tshegofalang
Murray, Steven
Neben, Abraham R.
Nikolic, Bojan
Parsons, Aaron R.
Pascua, Robert
Patra, Nipanjana
Pieterse, Samantha
Pober, Jonathan C.
Razavi-Ghods, Nima
Ringuette, Jon
Robnett, James
Rosie, Kathryn
Santos, Mario G.
Sims, Peter
Smith, Craig
Syce, Angelo
Thyagarajan, Nithyanandan
Zheng, Haoxuan
Publication Year :
2021

Abstract

As current- and next-generation astronomical instruments come online, they will generate an unprecedented deluge of data. Analyzing these data in real time presents unique conceptual and computational challenges, and their long-term storage and archiving is scientifically essential for generating reliable, reproducible results. We present here the real-time processing (RTP) system for the Hydrogen Epoch of Reionization Array (HERA), a radio interferometer endeavoring to provide the first detection of the highly redshifted 21 cm signal from Cosmic Dawn and the Epoch of Reionization by an interferometer. The RTP system consists of analysis routines run on raw data shortly after they are acquired, such as calibration and detection of radio-frequency interference (RFI) events. RTP works closely with the Librarian, the HERA data storage and transfer manager which automatically ingests data and transfers copies to other clusters for post-processing analysis. Both the RTP system and the Librarian are public and open source software, which allows for them to be modified for use in other scientific collaborations. When fully constructed, HERA is projected to generate over 50 terabytes (TB) of data each night, and the RTP system enables the successful scientific analysis of these data.<br />Comment: 15 pages, 3 figures, published in Astronomy and Computing

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1363543691
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1016.j.ascom.2021.100489