Motivated by the desire for wide-field images with well-defined statistical
properties for 21cm cosmology, we implement an optimal mapping pipeline that
computes a maximum likelihood estimator for the sky using the interferometric
measurement equation. We demonstrate this direct optimal mapping with data from
the Hydrogen Epoch of Reionization (HERA) Phase I observations. After
validating the pipeline with simulated data, we develop a maximum likelihood
figure-of-merit for comparing four sky models at 166MHz with a bandwidth of
100kHz. The HERA data agree with the GLEAM catalogs to $<$10%. After
subtracting the GLEAM point sources, the HERA data discriminate between the
different continuum sky models, providing most support for the model from Byrne
et al. 2021. We report the computation cost for mapping the HERA Phase I data
and project the computation for the HERA 320-antenna data, both are feasible
with a modern server. The algorithm is broadly applicable to other
interferometers, and is valid for wide-field and non-coplanar arrays.
Description
Direct Optimal Mapping for 21cm Cosmology: A Demonstration with the Hydrogen Epoch of Reionization Array
%0 Generic
%1 xu2022direct
%A Xu, Zhilei
%A Hewitt, Jacqueline N.
%A Chen, Kai-Feng
%A Kim, Hongguen
%A Dillon, Joshua S.
%A Kern, Nicholas S.
%A Morales, Miguel F.
%A Hazelton, Bryna J.
%A Byrne, Ruby
%A Fagnoni, Nicolas
%A Acedo, Eloy de Lera
%A Abdurashidova, Zara
%A Adams, Tyrone
%A Aguirre, James E.
%A Alexander, Paul
%A Ali, Zaki S.
%A Baartman, Rushelle
%A Balfour, Yanga
%A Beardsley, Adam P.
%A Bernardi, Gianni
%A Billings, Tashalee S.
%A Bowman, Judd D.
%A Bradley, Richard F.
%A Bull, Philip
%A Burba, Jacob
%A Carey, Steven
%A Carilli, Chris L.
%A Cheng, Carina
%A DeBoer, David R.
%A Dexter, Matt
%A Eksteen, Nico
%A Ely, John
%A Ewall-Wice, Aaron
%A Fritz, Randall
%A Furlanetto, Steven R.
%A Gale-Sides, Kingsley
%A Glendenning, Brian
%A Gorthi, Deepthi
%A Greig, Bradley
%A Grobbelaar, Jasper
%A Halday, Ziyaad
%A Hickish, Jack
%A Jacobs, Daniel C.
%A Julius, Austin
%A Kariseb, MacCalvin
%A Kerrigan, Joshua
%A Kittiwisit, Piyanat
%A Kohn, Saul A.
%A Kolopanis, Matthew
%A Lanman, Adam
%A La Plante, Paul
%A Liu, Adrian
%A Loots, Anita
%A Ma, Yin-zhe
%A MacMahon, David Harold Edward
%A Malan, Lourence
%A Malgas, Cresshim
%A Malgas, Keith
%A Marero, Bradley
%A Martinot, Zachary E.
%A Mesinger, Andrei
%A Molewa, Mathakane
%A Mosiane, Tshegofalang
%A Murray, Steven G.
%A Neben, Abraham R.
%A Nikolic, Bojan
%A Nuwegeld, Hans
%A Parsons, Aaron R.
%A Patra, Nipanjana
%A Pieterse, Samantha
%A Pober, Jonathan C.
%A Razavi-Ghods, Nima
%A Robnett, James
%A Rosie, Kathryn
%A Sims, Peter
%A Smith, Craig
%A Swarts, Hilton
%A Thyagarajan, Nithyanandan
%A Van Van Wyngaarden, Pieter
%A Williams, Peter K. G.
%A Zheng, Haoxuan
%D 2022
%K library
%T Direct Optimal Mapping for 21cm Cosmology: A Demonstration with the
Hydrogen Epoch of Reionization Array
%U http://arxiv.org/abs/2204.06021
%X Motivated by the desire for wide-field images with well-defined statistical
properties for 21cm cosmology, we implement an optimal mapping pipeline that
computes a maximum likelihood estimator for the sky using the interferometric
measurement equation. We demonstrate this direct optimal mapping with data from
the Hydrogen Epoch of Reionization (HERA) Phase I observations. After
validating the pipeline with simulated data, we develop a maximum likelihood
figure-of-merit for comparing four sky models at 166MHz with a bandwidth of
100kHz. The HERA data agree with the GLEAM catalogs to $<$10%. After
subtracting the GLEAM point sources, the HERA data discriminate between the
different continuum sky models, providing most support for the model from Byrne
et al. 2021. We report the computation cost for mapping the HERA Phase I data
and project the computation for the HERA 320-antenna data, both are feasible
with a modern server. The algorithm is broadly applicable to other
interferometers, and is valid for wide-field and non-coplanar arrays.
@misc{xu2022direct,
abstract = {Motivated by the desire for wide-field images with well-defined statistical
properties for 21cm cosmology, we implement an optimal mapping pipeline that
computes a maximum likelihood estimator for the sky using the interferometric
measurement equation. We demonstrate this direct optimal mapping with data from
the Hydrogen Epoch of Reionization (HERA) Phase I observations. After
validating the pipeline with simulated data, we develop a maximum likelihood
figure-of-merit for comparing four sky models at 166MHz with a bandwidth of
100kHz. The HERA data agree with the GLEAM catalogs to $<$10%. After
subtracting the GLEAM point sources, the HERA data discriminate between the
different continuum sky models, providing most support for the model from Byrne
et al. 2021. We report the computation cost for mapping the HERA Phase I data
and project the computation for the HERA 320-antenna data, both are feasible
with a modern server. The algorithm is broadly applicable to other
interferometers, and is valid for wide-field and non-coplanar arrays.},
added-at = {2022-04-14T10:23:08.000+0200},
author = {Xu, Zhilei and Hewitt, Jacqueline N. and Chen, Kai-Feng and Kim, Hongguen and Dillon, Joshua S. and Kern, Nicholas S. and Morales, Miguel F. and Hazelton, Bryna J. and Byrne, Ruby and Fagnoni, Nicolas and Acedo, Eloy de Lera and Abdurashidova, Zara and Adams, Tyrone and Aguirre, James E. and Alexander, Paul and Ali, Zaki S. and Baartman, Rushelle and Balfour, Yanga and Beardsley, Adam P. and Bernardi, Gianni and Billings, Tashalee S. and Bowman, Judd D. and Bradley, Richard F. and Bull, Philip and Burba, Jacob and Carey, Steven and Carilli, Chris L. and Cheng, Carina and DeBoer, David R. and Dexter, Matt and Eksteen, Nico and Ely, John and Ewall-Wice, Aaron and Fritz, Randall and Furlanetto, Steven R. and Gale-Sides, Kingsley and Glendenning, Brian and Gorthi, Deepthi and Greig, Bradley and Grobbelaar, Jasper and Halday, Ziyaad and Hickish, Jack and Jacobs, Daniel C. and Julius, Austin and Kariseb, MacCalvin and Kerrigan, Joshua and Kittiwisit, Piyanat and Kohn, Saul A. and Kolopanis, Matthew and Lanman, Adam and La Plante, Paul and Liu, Adrian and Loots, Anita and Ma, Yin-zhe and MacMahon, David Harold Edward and Malan, Lourence and Malgas, Cresshim and Malgas, Keith and Marero, Bradley and Martinot, Zachary E. and Mesinger, Andrei and Molewa, Mathakane and Mosiane, Tshegofalang and Murray, Steven G. and Neben, Abraham R. and Nikolic, Bojan and Nuwegeld, Hans and Parsons, Aaron R. and Patra, Nipanjana and Pieterse, Samantha and Pober, Jonathan C. and Razavi-Ghods, Nima and Robnett, James and Rosie, Kathryn and Sims, Peter and Smith, Craig and Swarts, Hilton and Thyagarajan, Nithyanandan and Van Van Wyngaarden, Pieter and Williams, Peter K. G. and Zheng, Haoxuan},
biburl = {https://www.bibsonomy.org/bibtex/2bcabe7bd563ba227cf8731e6bb5efc9f/gpkulkarni},
description = {Direct Optimal Mapping for 21cm Cosmology: A Demonstration with the Hydrogen Epoch of Reionization Array},
interhash = {77b8dcbcf638c3e1c2773c7164e20930},
intrahash = {bcabe7bd563ba227cf8731e6bb5efc9f},
keywords = {library},
note = {cite arxiv:2204.06021Comment: 16 pages, 10 figures, 2 tables, submitted to ApJ},
timestamp = {2022-04-14T10:23:08.000+0200},
title = {Direct Optimal Mapping for 21cm Cosmology: A Demonstration with the
Hydrogen Epoch of Reionization Array},
url = {http://arxiv.org/abs/2204.06021},
year = 2022
}