The Simons Observatory: Beam Characterization for the Small Aperture Telescopes
We use time-domain simulations of Jupiter observations to test and develop a beam reconstruction pipeline for the Simons Observatory Small Aperture Telescopes. The method relies on a mapmaker that estimates and subtracts correlated atmospheric noise and a beam fitting code designed to compensate for...
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Veröffentlicht in: | The Astrophysical journal 2024-01, Vol.961 (1) |
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creator | Dachlythra, Nadia Duivenvoorden, Adriaan J. Gudmundsson, Jon E. Hasselfield, Matthew Coppi, Gabriele Adler, Alexandre E. Alonso, David Azzoni, Susanna Chesmore, Grace. E. Fabbian, Giulio Ganga, Ken Gerras, Remington G. Jaffe, Andrew H. Johnson, Bradley R. Keating, Brian Keskitalo, Reijo Kisner, Theodore S. Krachmalnicoffork, Nicoletta Lungu, Marius Matsuda, Frederick Naess, Sigurd Page, Lyman Puddu, Roberto Puglisi, Giuseppe Simon, Sara M. Teply, Grant Tsan, Tran Wollack, Edward J. Wolz, Kevin Xu, Zhilei |
description | We use time-domain simulations of Jupiter observations to test and develop a beam reconstruction pipeline for the Simons Observatory Small Aperture Telescopes. The method relies on a mapmaker that estimates and subtracts correlated atmospheric noise and a beam fitting code designed to compensate for the bias caused by the mapmaker. We test our reconstruction performance for four different frequency bands against various algorithmic parameters, atmospheric conditions, and input beams. We additionally show the reconstruction quality as a function of the number of available observations and investigate how different calibration strategies affect the beam uncertainty. For all of the cases considered, we find good agreement between the fitted results and the input beam model within an ∼1.5% error for a multipole range ℓ = 30–700 and an ∼0.5% error for a multipole range ℓ = 50–200. We conclude by using a harmonic-domain component separation algorithm to verify that the beam reconstruction errors and biases observed in our analysis do not significantly bias the Simons Observatory r-measurement. |
doi_str_mv | 10.3847/1538-4357/ad0969. |
format | Article |
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E. ; Fabbian, Giulio ; Ganga, Ken ; Gerras, Remington G. ; Jaffe, Andrew H. ; Johnson, Bradley R. ; Keating, Brian ; Keskitalo, Reijo ; Kisner, Theodore S. ; Krachmalnicoffork, Nicoletta ; Lungu, Marius ; Matsuda, Frederick ; Naess, Sigurd ; Page, Lyman ; Puddu, Roberto ; Puglisi, Giuseppe ; Simon, Sara M. ; Teply, Grant ; Tsan, Tran ; Wollack, Edward J. ; Wolz, Kevin ; Xu, Zhilei</creator><creatorcontrib>Dachlythra, Nadia ; Duivenvoorden, Adriaan J. ; Gudmundsson, Jon E. ; Hasselfield, Matthew ; Coppi, Gabriele ; Adler, Alexandre E. ; Alonso, David ; Azzoni, Susanna ; Chesmore, Grace. E. ; Fabbian, Giulio ; Ganga, Ken ; Gerras, Remington G. ; Jaffe, Andrew H. ; Johnson, Bradley R. ; Keating, Brian ; Keskitalo, Reijo ; Kisner, Theodore S. ; Krachmalnicoffork, Nicoletta ; Lungu, Marius ; Matsuda, Frederick ; Naess, Sigurd ; Page, Lyman ; Puddu, Roberto ; Puglisi, Giuseppe ; Simon, Sara M. ; Teply, Grant ; Tsan, Tran ; Wollack, Edward J. ; Wolz, Kevin ; Xu, Zhilei</creatorcontrib><description>We use time-domain simulations of Jupiter observations to test and develop a beam reconstruction pipeline for the Simons Observatory Small Aperture Telescopes. The method relies on a mapmaker that estimates and subtracts correlated atmospheric noise and a beam fitting code designed to compensate for the bias caused by the mapmaker. We test our reconstruction performance for four different frequency bands against various algorithmic parameters, atmospheric conditions, and input beams. We additionally show the reconstruction quality as a function of the number of available observations and investigate how different calibration strategies affect the beam uncertainty. For all of the cases considered, we find good agreement between the fitted results and the input beam model within an ∼1.5% error for a multipole range ℓ = 30–700 and an ∼0.5% error for a multipole range ℓ = 50–200. 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The method relies on a mapmaker that estimates and subtracts correlated atmospheric noise and a beam fitting code designed to compensate for the bias caused by the mapmaker. We test our reconstruction performance for four different frequency bands against various algorithmic parameters, atmospheric conditions, and input beams. We additionally show the reconstruction quality as a function of the number of available observations and investigate how different calibration strategies affect the beam uncertainty. For all of the cases considered, we find good agreement between the fitted results and the input beam model within an ∼1.5% error for a multipole range ℓ = 30–700 and an ∼0.5% error for a multipole range ℓ = 50–200. 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subjects | Astronomy Astrophysics Instrumentation and Photography |
title | The Simons Observatory: Beam Characterization for the Small Aperture Telescopes |
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