Abstract
We present a framework for identifying and flagging malfunctioning antennas in large radio interferometers. We outline two distinct categories of metrics designed to detect outliers along known failure modes of large arrays: cross-correlation metrics, based on all antenna pairs, and auto-correlation metrics, based solely on individual antennas. We define and motivate the statistical framework for all metrics used, and present tailored visualizations that aid us in clearly identifying new and existing systematics. We implement these techniques using data from 105 antennas in the Hydrogen Epoch of Reionization Array (HERA) as a case study. Finally, we provide a detailed algorithm for implementing these metrics as flagging tools on real data sets.
Original language | English (US) |
---|---|
Article number | e2021RS007376 |
Journal | Radio Science |
Volume | 57 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2022 |
Keywords
- flagging
- interferometry
- radio cosmology
- reionization
- systematics
ASJC Scopus subject areas
- Condensed Matter Physics
- Earth and Planetary Sciences(all)
- Electrical and Electronic Engineering
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Automated Detection of Antenna Malfunctions in Large-N Interferometers : A Case Study With the Hydrogen Epoch of Reionization Array. / Storer, Dara; Dillon, Joshua S.; Jacobs, Daniel C.; Morales, Miguel F.; Hazelton, Bryna J.; Ewall-Wice, Aaron; Abdurashidova, Zara; Aguirre, James E.; Alexander, Paul; Ali, Zaki S.; Balfour, Yanga; Beardsley, Adam P.; Bernardi, Gianni; Billings, Tashalee S.; Bowman, Judd D.; Bradley, Richard F.; Bull, Philip; Burba, Jacob; Carey, Steven; Carilli, Chris L.; Cheng, Carina; DeBoer, David R.; de Lera Acedo, Eloy; Dexter, Matt; Dynes, Scott; Ely, John; Fagnoni, Nicolas; Fritz, Randall; Furlanetto, Steven R.; Gale-Sides, Kingsley; Glendenning, Brian; Gorthi, Deepthi; Greig, Bradley; Grobbelaar, Jasper; Halday, Ziyaad; Hewitt, Jacqueline N.; Hickish, Jack; Huang, Tian; Josaitis, Alec; Julius, Austin; Kariseb, MacCalvin; Kern, Nicholas S.; Kerrigan, Joshua; Kittiwisit, Piyanat; Kohn, Saul A.; Kolopanis, Matthew; Lanman, Adam; La Plante, Paul; Liu, Adrian; Loots, Anita; MacMahon, David; Malan, Lourence; Malgas, Cresshim; Martinot, Zachary E.; Mesinger, Andrei; Molewa, Mathakane; Mosiane, Tshegofalang; Murray, Steven G.; Neben, Abraham R.; Nikolic, Bojan; Nunhokee, Chuneeta Devi; Parsons, Aaron R.; Pascua, Robert; Patra, Nipanjana; Pieterse, Samantha; Pober, Jonathan C.; Razavi-Ghods, Nima; Riley, Daniel; Robnett, James; Rosie, Kathryn; Santos, Mario G.; Sims, Peter; Singh, Saurabh; Smith, Craig; Tan, Jianrong; Thyagarajan, Nithyanandan; Williams, Peter K.G.; Zheng, Haoxuan.
In: Radio Science, Vol. 57, No. 1, e2021RS007376, 01.2022.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Automated Detection of Antenna Malfunctions in Large-N Interferometers
T2 - A Case Study With the Hydrogen Epoch of Reionization Array
AU - Storer, Dara
AU - Dillon, Joshua S.
AU - Jacobs, Daniel C.
AU - Morales, Miguel F.
AU - Hazelton, Bryna J.
AU - Ewall-Wice, Aaron
AU - Abdurashidova, Zara
AU - Aguirre, James E.
AU - Alexander, Paul
AU - Ali, Zaki S.
AU - Balfour, Yanga
AU - Beardsley, Adam P.
AU - Bernardi, Gianni
AU - Billings, Tashalee S.
AU - Bowman, Judd D.
AU - Bradley, Richard F.
AU - Bull, Philip
AU - Burba, Jacob
AU - Carey, Steven
AU - Carilli, Chris L.
AU - Cheng, Carina
AU - DeBoer, David R.
AU - de Lera Acedo, Eloy
AU - Dexter, Matt
AU - Dynes, Scott
AU - Ely, John
AU - Fagnoni, Nicolas
AU - Fritz, Randall
AU - Furlanetto, Steven R.
AU - Gale-Sides, Kingsley
AU - Glendenning, Brian
AU - Gorthi, Deepthi
AU - Greig, Bradley
AU - Grobbelaar, Jasper
AU - Halday, Ziyaad
AU - Hewitt, Jacqueline N.
AU - Hickish, Jack
AU - Huang, Tian
AU - Josaitis, Alec
AU - Julius, Austin
AU - Kariseb, MacCalvin
AU - Kern, Nicholas S.
AU - Kerrigan, Joshua
AU - Kittiwisit, Piyanat
AU - Kohn, Saul A.
AU - Kolopanis, Matthew
AU - Lanman, Adam
AU - La Plante, Paul
AU - Liu, Adrian
AU - Loots, Anita
AU - MacMahon, David
AU - Malan, Lourence
AU - Malgas, Cresshim
AU - Martinot, Zachary E.
AU - Mesinger, Andrei
AU - Molewa, Mathakane
AU - Mosiane, Tshegofalang
AU - Murray, Steven G.
AU - Neben, Abraham R.
AU - Nikolic, Bojan
AU - Nunhokee, Chuneeta Devi
AU - Parsons, Aaron R.
AU - Pascua, Robert
AU - Patra, Nipanjana
AU - Pieterse, Samantha
AU - Pober, Jonathan C.
AU - Razavi-Ghods, Nima
AU - Riley, Daniel
AU - Robnett, James
AU - Rosie, Kathryn
AU - Santos, Mario G.
AU - Sims, Peter
AU - Singh, Saurabh
AU - Smith, Craig
AU - Tan, Jianrong
AU - Thyagarajan, Nithyanandan
AU - Williams, Peter K.G.
AU - Zheng, Haoxuan
N1 - Funding Information: This material is based upon work supported by the National Science Foundation under Grant Nos. 1636646 and 1836019 and institutional support from the HERA collaboration partners. This research is funded by the Gordon and Betty Moore Foundation through grant GBMF5215 to the Massachusetts Institute of Technology. HERA is hosted by the South African Radio Astronomy Observatory, which is a facility of the National Research Foundation, an agency of the Department of Science and Innovation. JSD gratefully acknowledges the support of the NSF AAPF award #1701536. A. Liu acknowledges support from the New Frontiers in Research Fund Exploration grant program, the Canadian Institute for Advanced Research (CIFAR) Azrieli Global Scholars program, a Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant and a Discovery Launch Supplement, the Sloan Research Fellowship, and the William Dawson Scholarship at McGill. D. Storer acknowledges that this material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE-1762114. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. MGS and PK acknowledge support from the South African Radio Astronomy Observatory (SARAO) and National Research Foundation (Grant No. 84156). G.B. acknowledges support from the Ministero degli Affari Esteri della Cooperazione Internazionale - Direzione Generale per la Promozione del Sistema Paese Progetto di Grande Rilevanza ZA18GR02 and the National Research Foundation of South Africa (Grant Number 113121) as part of the ISARP RADIOSKY2020 Joint Research Scheme. Funding Information: This material is based upon work supported by the National Science Foundation under Grant Nos. 1636646 and 1836019 and institutional support from the HERA collaboration partners. This research is funded by the Gordon and Betty Moore Foundation through grant GBMF5215 to the Massachusetts Institute of Technology. HERA is hosted by the South African Radio Astronomy Observatory, which is a facility of the National Research Foundation, an agency of the Department of Science and Innovation. JSD gratefully acknowledges the support of the NSF AAPF award #1701536. A. Liu acknowledges support from the New Frontiers in Research Fund Exploration grant program, the Canadian Institute for Advanced Research (CIFAR) Azrieli Global Scholars program, a Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant and a Discovery Launch Supplement, the Sloan Research Fellowship, and the William Dawson Scholarship at McGill. D. Storer acknowledges that this material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE‐1762114. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. MGS and PK acknowledge support from the South African Radio Astronomy Observatory (SARAO) and National Research Foundation (Grant No. 84156). G.B. acknowledges support from the Ministero degli Affari Esteri della Cooperazione Internazionale ‐ Direzione Generale per la Promozione del Sistema Paese Progetto di Grande Rilevanza ZA18GR02 and the National Research Foundation of South Africa (Grant Number 113121) as part of the ISARP RADIOSKY2020 Joint Research Scheme. Publisher Copyright: © 2021. American Geophysical Union. All Rights Reserved.
PY - 2022/1
Y1 - 2022/1
N2 - We present a framework for identifying and flagging malfunctioning antennas in large radio interferometers. We outline two distinct categories of metrics designed to detect outliers along known failure modes of large arrays: cross-correlation metrics, based on all antenna pairs, and auto-correlation metrics, based solely on individual antennas. We define and motivate the statistical framework for all metrics used, and present tailored visualizations that aid us in clearly identifying new and existing systematics. We implement these techniques using data from 105 antennas in the Hydrogen Epoch of Reionization Array (HERA) as a case study. Finally, we provide a detailed algorithm for implementing these metrics as flagging tools on real data sets.
AB - We present a framework for identifying and flagging malfunctioning antennas in large radio interferometers. We outline two distinct categories of metrics designed to detect outliers along known failure modes of large arrays: cross-correlation metrics, based on all antenna pairs, and auto-correlation metrics, based solely on individual antennas. We define and motivate the statistical framework for all metrics used, and present tailored visualizations that aid us in clearly identifying new and existing systematics. We implement these techniques using data from 105 antennas in the Hydrogen Epoch of Reionization Array (HERA) as a case study. Finally, we provide a detailed algorithm for implementing these metrics as flagging tools on real data sets.
KW - flagging
KW - interferometry
KW - radio cosmology
KW - reionization
KW - systematics
UR - http://www.scopus.com/inward/record.url?scp=85123737423&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85123737423&partnerID=8YFLogxK
U2 - 10.1029/2021RS007376
DO - 10.1029/2021RS007376
M3 - Article
AN - SCOPUS:85123737423
VL - 57
JO - Radio Science
JF - Radio Science
SN - 0048-6604
IS - 1
M1 - e2021RS007376
ER -