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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2312.03697 |
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| _version_ | 1866929741797261312 |
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| author | Murphy, Geoff G. Bull, Philip Santos, Mario G. Abdurashidova, Zara Adams, Tyrone Aguirre, James E. Alexander, Paul Ali, Zaki S. Baartman, Rushelle Balfour, Yanga Beardsley, Adam P. Bernardi, Gianni Billings, Tashalee Bowman, Judd D. Bradley, Richard F. Burba, Jacob Cain, Christopher Carey, Steven Carilli, Chris L. Cheng, Carina DeBoer, David R. Acedo, Eloy de Lera Dexter, Matt Dillon, Joshua S. Eksteen, Nico Ely, John Ewall-Wice, Aaron Fagnoni, Nicolas Fritz, Randall Furlanetto, Steven 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 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 Harold Edward Malan, Lourence Malgas, Cresshim Malgas, Keith Marero, Bradley Martinot, Zachary E. Mesinger, Andrei Molewa, Mathakane Morales, Miguel F. Mosiane, Tshegofalang Murray, Steven G. Neben, Abraham R. Nikolic, Bojan Nuwegeld, Hans Parsons, Aaron R. Patra, Nipanjana Pieterse, Samantha Razavi-Ghods, Nima Robnett, James Rosie, Kathryn Sims, Peter Sipple, Jackson Smith, Craig Swarts, Hilton Thyagarajan, Nithyanandan van Wyngaarden, Pieter Williams, Peter K. G. Zheng, Haoxuan |
| author_facet | Murphy, Geoff G. Bull, Philip Santos, Mario G. Abdurashidova, Zara Adams, Tyrone Aguirre, James E. Alexander, Paul Ali, Zaki S. Baartman, Rushelle Balfour, Yanga Beardsley, Adam P. Bernardi, Gianni Billings, Tashalee Bowman, Judd D. Bradley, Richard F. Burba, Jacob Cain, Christopher Carey, Steven Carilli, Chris L. Cheng, Carina DeBoer, David R. Acedo, Eloy de Lera Dexter, Matt Dillon, Joshua S. Eksteen, Nico Ely, John Ewall-Wice, Aaron Fagnoni, Nicolas Fritz, Randall Furlanetto, Steven 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 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 Harold Edward Malan, Lourence Malgas, Cresshim Malgas, Keith Marero, Bradley Martinot, Zachary E. Mesinger, Andrei Molewa, Mathakane Morales, Miguel F. Mosiane, Tshegofalang Murray, Steven G. Neben, Abraham R. Nikolic, Bojan Nuwegeld, Hans Parsons, Aaron R. Patra, Nipanjana Pieterse, Samantha Razavi-Ghods, Nima Robnett, James Rosie, Kathryn Sims, Peter Sipple, Jackson Smith, Craig Swarts, Hilton Thyagarajan, Nithyanandan van Wyngaarden, Pieter Williams, Peter K. G. Zheng, Haoxuan |
| contents | Observations with radio arrays that target the 21-cm signal originating from the early Universe suffer from a variety of systematic effects. An important class of these are reflections and spurious couplings between antennas. We apply a Hamiltonian Monte Carlo sampler to the modelling and mitigation of these systematics in simulated Hydrogen Epoch of Reionisation Array (HERA) data. This method allows us to form statistical uncertainty estimates for both our models and the recovered visibilities, which is an important ingredient in establishing robust upper limits on the Epoch of Reionisation (EoR) power spectrum. In cases where the noise is large compared to the EoR signal, this approach can constrain the systematics well enough to mitigate them down to the noise level for both systematics studied. Incoherently averaging the recovered power spectra can further reduce the noise and improve recovery. Where the noise level is lower than the EoR, our modelling can mitigate the majority of the reflections and coupling with there being only a minor level of residual systematics. Our approach performs similarly to existing filtering/fitting techniques used in the HERA pipeline, but with the added benefit of rigorously propagating uncertainties. In all cases it does not significantly attenuate the underlying signal. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_03697 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Bayesian estimation of cross-coupling and reflection systematics in 21cm array visibility data Murphy, Geoff G. Bull, Philip Santos, Mario G. Abdurashidova, Zara Adams, Tyrone Aguirre, James E. Alexander, Paul Ali, Zaki S. Baartman, Rushelle Balfour, Yanga Beardsley, Adam P. Bernardi, Gianni Billings, Tashalee Bowman, Judd D. Bradley, Richard F. Burba, Jacob Cain, Christopher Carey, Steven Carilli, Chris L. Cheng, Carina DeBoer, David R. Acedo, Eloy de Lera Dexter, Matt Dillon, Joshua S. Eksteen, Nico Ely, John Ewall-Wice, Aaron Fagnoni, Nicolas Fritz, Randall Furlanetto, Steven 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 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 Harold Edward Malan, Lourence Malgas, Cresshim Malgas, Keith Marero, Bradley Martinot, Zachary E. Mesinger, Andrei Molewa, Mathakane Morales, Miguel F. Mosiane, Tshegofalang Murray, Steven G. Neben, Abraham R. Nikolic, Bojan Nuwegeld, Hans Parsons, Aaron R. Patra, Nipanjana Pieterse, Samantha Razavi-Ghods, Nima Robnett, James Rosie, Kathryn Sims, Peter Sipple, Jackson Smith, Craig Swarts, Hilton Thyagarajan, Nithyanandan van Wyngaarden, Pieter Williams, Peter K. G. Zheng, Haoxuan Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Observations with radio arrays that target the 21-cm signal originating from the early Universe suffer from a variety of systematic effects. An important class of these are reflections and spurious couplings between antennas. We apply a Hamiltonian Monte Carlo sampler to the modelling and mitigation of these systematics in simulated Hydrogen Epoch of Reionisation Array (HERA) data. This method allows us to form statistical uncertainty estimates for both our models and the recovered visibilities, which is an important ingredient in establishing robust upper limits on the Epoch of Reionisation (EoR) power spectrum. In cases where the noise is large compared to the EoR signal, this approach can constrain the systematics well enough to mitigate them down to the noise level for both systematics studied. Incoherently averaging the recovered power spectra can further reduce the noise and improve recovery. Where the noise level is lower than the EoR, our modelling can mitigate the majority of the reflections and coupling with there being only a minor level of residual systematics. Our approach performs similarly to existing filtering/fitting techniques used in the HERA pipeline, but with the added benefit of rigorously propagating uncertainties. In all cases it does not significantly attenuate the underlying signal. |
| title | Bayesian estimation of cross-coupling and reflection systematics in 21cm array visibility data |
| topic | Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics |
| url | https://arxiv.org/abs/2312.03697 |