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Methods of Error Estimation for Delay Power Spectra in $21\,\textrm{cm}$ Cosmology

Authors :
Tan, Jianrong
Liu, Adrian
Kern, Nicholas S.
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, Christopher L.
Cheng, Carina
DeBoer, David R.
Dexter, Matt
Acedo, Eloy de Lera
Dillon, Joshua S.
Ely, John
Ewall-Wice, Aaron
Fagnoni, Nicolas
Fritz, Randall
Furlanetto, Steve R.
Gale-Sides, Kingsley
Glendenning, Brian
Gorthi, Deepthi
Greig, Bradley
Grobbelaar, Jasper
Halday, Ziyaad
Hazelton, Bryna J.
Hewitt, Jacqueline N.
Hickish, Jack
Jacobs, Daniel C.
Julius, Austin
Kerrigan, Joshua
Kittiwisit, Piyanat
Kohn, Saul A.
Kolopanis, Matthew
Lanman, Adam
La Plante, Paul
Lekalake, Telalo
MacMahon, David
Malan, Lourence
Malgas, Cresshim
Maree, Matthys
Martinot, Zachary E.
Matsetela, Eunice
Mesinger, Andrei
Molewa, Mathakane
Morales, Miguel F.
Mosiane, Tshegofalang
Murray, Steven G.
Neben, Abraham R.
Nikolic, Bojan
Nunhokee, Chuneeta D.
Parsons, Aaron R.
Patra, Nipanjana
Pieterse, Samantha
Pober, Jonathan C.
Razavi-Ghods, Nima
Ringuette, Jon
Robnett, James
Rosie, Kathryn
Sims, Peter
Singh, Saurabh
Smith, Craig
Syce, Angelo
Thyagarajan, Nithyanandan
Williams, Peter K. G.
Zheng, Haoxuan
Tan, Jianrong
Liu, Adrian
Kern, Nicholas S.
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, Christopher L.
Cheng, Carina
DeBoer, David R.
Dexter, Matt
Acedo, Eloy de Lera
Dillon, Joshua S.
Ely, John
Ewall-Wice, Aaron
Fagnoni, Nicolas
Fritz, Randall
Furlanetto, Steve R.
Gale-Sides, Kingsley
Glendenning, Brian
Gorthi, Deepthi
Greig, Bradley
Grobbelaar, Jasper
Halday, Ziyaad
Hazelton, Bryna J.
Hewitt, Jacqueline N.
Hickish, Jack
Jacobs, Daniel C.
Julius, Austin
Kerrigan, Joshua
Kittiwisit, Piyanat
Kohn, Saul A.
Kolopanis, Matthew
Lanman, Adam
La Plante, Paul
Lekalake, Telalo
MacMahon, David
Malan, Lourence
Malgas, Cresshim
Maree, Matthys
Martinot, Zachary E.
Matsetela, Eunice
Mesinger, Andrei
Molewa, Mathakane
Morales, Miguel F.
Mosiane, Tshegofalang
Murray, Steven G.
Neben, Abraham R.
Nikolic, Bojan
Nunhokee, Chuneeta D.
Parsons, Aaron R.
Patra, Nipanjana
Pieterse, Samantha
Pober, Jonathan C.
Razavi-Ghods, Nima
Ringuette, Jon
Robnett, James
Rosie, Kathryn
Sims, Peter
Singh, Saurabh
Smith, Craig
Syce, Angelo
Thyagarajan, Nithyanandan
Williams, Peter K. G.
Zheng, Haoxuan
Publication Year :
2021

Abstract

Precise measurements of the 21 cm power spectrum are crucial for understanding the physical processes of hydrogen reionization. Currently, this probe is being pursued by low-frequency radio interferometer arrays. As these experiments come closer to making a first detection of the signal, error estimation will play an increasingly important role in setting robust measurements. Using the delay power spectrum approach, we have produced a critical examination of different ways that one can estimate error bars on the power spectrum. We do this through a synthesis of analytic work, simulations of toy models, and tests on small amounts of real data. We find that, although computed independently, the different error bar methodologies are in good agreement with each other in the noise-dominated regime of the power spectrum. For our preferred methodology, the predicted probability distribution function is consistent with the empirical noise power distributions from both simulated and real data. This diagnosis is mainly in support of the forthcoming HERA upper limit, and also is expected to be more generally applicable.<br />Comment: 35 Pages, 9 Figures, 4 Tables. Replaced with accepted ApJ version; some clarifying text added in response to referee comments with no changes to results

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1363543294
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.3847.1538-4365.ac0533