Antarctic Surface Reflectivity Calculations and Measurements from the ANITA-4 and HiCal-2 Experiments
S. Prohira, A. Novikov, P. Dasgupta, P. Jain, S. Nande, P. Allison, O., Banerjee, L. Batten, J. J. Beatty, K. Belov, D. Z. Besson, W. R. Binns, V., Bugaev, P. Cao, C. Chen, P. Chen, J. M. Clem, A. Connolly, L. Cremonesi, B., Dailey, C. Deaconu, P. F. Dowkontt, B. D. Fox

TL;DR
This study measures Antarctic surface RF reflectivity using balloon-borne experiments, comparing measurements with improved theoretical models to better understand surface properties at various angles.
Contribution
The paper presents the first extensive RF reflectivity measurements from HiCal-2, significantly improving data precision and refining theoretical models with surface roughness and curvature corrections.
Findings
HiCal-2 data agrees with earlier HiCal-1 results and solar RF reflections.
Enhanced theoretical models match measurements better after surface corrections.
Reflectivity estimates at high incidence angles exceed previous calculations.
Abstract
The balloon-borne HiCal radio-frequency (RF) transmitter, in concert with the ANITA radio-frequency receiver array, is designed to measure the Antarctic surface reflectivity in the RF wavelength regime. The amplitude of surface-reflected transmissions from HiCal, registered as triggered events by ANITA, can be compared with the direct transmissions preceding them by O(10) microseconds, to infer the surface power reflection coefficient . The first HiCal mission (HiCal-1, Jan. 2015) yielded a sample of 100 such pairs, resulting in estimates of at highly-glancing angles (i.e., zenith angles approaching ), with measured reflectivity for those events which exceeded extant calculations. The HiCal-2 experiment, flying from Dec., 2016-Jan., 2017, provided an improvement by nearly two orders of magnitude in our event statistics, allowing a considerably more precise…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
