Aaron R. Parsons, Ph.D.
Affiliations: | 2011- | University of California, Berkeley, Berkeley, CA, United States |
Area:
Astronomy and AstrophysicsWebsite:
http://astro.berkeley.edu/faculty-profile/aaron-parsonsGoogle:
"Aaron Parsons"Bio:
http://w.astro.berkeley.edu/~aparsons/Aaron_Parsons/Home.html
http://w.astro.berkeley.edu/~aparsons/thesis.pdf
Mean distance: 15.21 | S | N | B | C | P |
Parents
Sign in to add mentorDonald C. Backer | grad student | 2009 | UC Berkeley | |
(Low -frequency interferometry: Design, calibration, and analysis towards detecting the epoch of reionization.) |
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Publications
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Carilli CL, Thyagarajan N, Kent J, et al. (2020) Imaging and Modeling Data from the Hydrogen Epoch of Reionization Array Astrophysical Journal Supplement Series. 247: 67 |
Nunhokee CD, Parsons AR, Kern NS, et al. (2020) Measuring HERA's Primary Beam in Situ: Methodology and First Results The Astrophysical Journal. 897: 5 |
Kern NS, Dillon JS, Parsons AR, et al. (2020) Absolute Calibration Strategies for the Hydrogen Epoch of Reionization Array and Their Impact on the 21 cm Power Spectrum The Astrophysical Journal. 890: 122 |
Kern NS, Parsons AR, Dillon JS, et al. (2020) Mitigating Internal Instrument Coupling for 21 cm Cosmology. II. A Method Demonstration with the Hydrogen Epoch of Reionization Array The Astrophysical Journal. 888: 70 |
Thyagarajan N, Carilli CL, Nikolic B, et al. (2020) Detection of cosmic structures using the bispectrum phase. II. First results from application to cosmic reionization using the Hydrogen Epoch of Reionization Array Physical Review D. 102: 22002 |
Ghosh A, Mertens F, Bernardi G, et al. (2020) Foreground modelling via Gaussian process regression: an application to HERA data Monthly Notices of the Royal Astronomical Society. 495: 2813-2826 |
Kern NS, Parsons AR, Dillon JS, et al. (2019) Mitigating Internal Instrument Coupling for 21 cm Cosmology. I. Temporal and Spectral Modeling in Simulations The Astrophysical Journal. 884: 105 |
Kohn SA, Aguirre JE, La Plante P, et al. (2019) The HERA-19 Commissioning Array: Direction-dependent Effects The Astrophysical Journal. 882: 58 |
Kerrigan J, Plante PL, Kohn S, et al. (2019) Optimizing sparse RFI prediction using deep learning Monthly Notices of the Royal Astronomical Society. 488: 2605-2615 |
Orosz N, Ewall-Wice A, Dillon JS, et al. (2019) Mitigating the Effects of Antenna-to-Antenna Variation on Redundant-Baseline Calibration for 21 cm Cosmology Monthly Notices of the Royal Astronomical Society. 487: 537-549 |