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Probing the Firn Refractive Index Profile Using Antenna Response

S. Agarwal, J. A. Aguilar, N. Alden, S. Ali, P. Allison, M. Betts, D. Besson, A. Bishop, O. Botner, S. Bouma, S. Buitink, R. Camphyn, S. Chiche, B. A. Clark, A. Coleman, K. Couberly, S. de Kockere, K. D. de Vries, C. Deaconu, P. Giri, C. Glaser, T. Glusenkamp, A. Hallgren, S. Hallmann, J. C. Hanson, B. Hendricks, J. Henrichs, N. Heyer, C. Hornhuber, E. Huesca Santiago, K. Hughes, T. Karg, A. Karle, J. L. Kelley, M. Korntheuer, M. Kowalski, I. Kravchenko, R. Krebs, R. Lahmann, C. H. Liu, M. J. Marsee, C. McLennan, M. Mikhailova, K. Mulrey, M. Muzio, A. Nelles, A. Novikov, A. Nozdrina, E. Oberla, B. Oeyen, N. Punsuebsay, L. Pyras, M. Ravn, D. Ryckbosch, F. Schluter, O. Scholten, D. Seckel, M. F. H. Seikh, J. Stachurska, J. Stoffels, S. Toscano, D. Tosi, J. Tutt, D. J. Van Den Broeck, N. van Eijndhoven, A. G. Vieregg, A. Vijai, C. Welling, D. R. Williams, P. Windischhofer, S. Wissel, R. Young, A. Zink

TL;DR

This work tackles the crucial problem of mapping the depth-dependent refractive index profile $n(z)$ of firn to improve Ultra-High-Energy Neutrino (UHEN) detection with RNO-G. It introduces a rapid in-situ method that links the dipole antenna resonant frequency $f_{res}$, which shifts with the local $n(z)$, to a parametric form $f(n)=\frac{a}{b+n}$, enabling conversion of depth-resolved $S_{11}(z)$ measurements into $n(z)$. By conducting two measurement campaigns at Summit Station (2024 and 2025), fitting $S_{11}$ resonances, and cross-validating with gravimetric and density-based RI data, the authors demonstrate consistent shallow firn RIP extraction with ~per-cent accuracy and identify key sources of systematic uncertainty, including axial alignment and borehole air effects. The results indicate that the proposed resonance-based RIP inference is fast, field-deployable, and sensitive to local $n(z)$ variations on ~50 cm depths, offering a practical tool to improve FIRN modeling for ray-tracing and neutrino reconstruction in UHEN experiments.

Abstract

The Radio Neutrino Observatory-Greenland (RNO-G, at Summit Station) experiment comprises an extensive fat-dipole antenna array deployed into ice boreholes over an eventual area of approximately 35 ${\rm km}^2$. Since the RNO-G experimental sensitivity depends on the radio-frequency properties of the firn, which are known to vary laterally on sub-km distance scales and vertically on sub-meter distance scales, a technique for quickly extracting information on firn ice properties with depth ($n(z)$) during drilling and deployment is desirable. Given that a dipole's resonant wavelength is fixed by geometry, the resonant frequency $f_{res}$ (measured as an S-parameter reflection coefficient [`$S_{11}$'] minimum) scales inversely with the local refractive index, allowing a translation of a depth-dependent $S_{11}$(z) profile into $n(z)$. $S_{11}$(z) data were initially taken in August, 2024 using a dipole lowered into a newly-drilled $98\pm 1$-mm diameter, 350-m deep borehole at Summit Station, Greenland, approximately 1 km from the site of the original GISP-2 core; improved measurements were subsequently made in May, 2025. We conclude that $S_{11}$(z) data can be used to estimate \RIP, on 50 cm vertical scales, at the per-cent level of accuracy required by experiments such as RN0-G.

Probing the Firn Refractive Index Profile Using Antenna Response

TL;DR

This work tackles the crucial problem of mapping the depth-dependent refractive index profile of firn to improve Ultra-High-Energy Neutrino (UHEN) detection with RNO-G. It introduces a rapid in-situ method that links the dipole antenna resonant frequency , which shifts with the local , to a parametric form , enabling conversion of depth-resolved measurements into . By conducting two measurement campaigns at Summit Station (2024 and 2025), fitting resonances, and cross-validating with gravimetric and density-based RI data, the authors demonstrate consistent shallow firn RIP extraction with ~per-cent accuracy and identify key sources of systematic uncertainty, including axial alignment and borehole air effects. The results indicate that the proposed resonance-based RIP inference is fast, field-deployable, and sensitive to local variations on ~50 cm depths, offering a practical tool to improve FIRN modeling for ray-tracing and neutrino reconstruction in UHEN experiments.

Abstract

The Radio Neutrino Observatory-Greenland (RNO-G, at Summit Station) experiment comprises an extensive fat-dipole antenna array deployed into ice boreholes over an eventual area of approximately 35 . Since the RNO-G experimental sensitivity depends on the radio-frequency properties of the firn, which are known to vary laterally on sub-km distance scales and vertically on sub-meter distance scales, a technique for quickly extracting information on firn ice properties with depth () during drilling and deployment is desirable. Given that a dipole's resonant wavelength is fixed by geometry, the resonant frequency (measured as an S-parameter reflection coefficient [`'] minimum) scales inversely with the local refractive index, allowing a translation of a depth-dependent (z) profile into . (z) data were initially taken in August, 2024 using a dipole lowered into a newly-drilled -mm diameter, 350-m deep borehole at Summit Station, Greenland, approximately 1 km from the site of the original GISP-2 core; improved measurements were subsequently made in May, 2025. We conclude that (z) data can be used to estimate \RIP, on 50 cm vertical scales, at the per-cent level of accuracy required by experiments such as RN0-G.

Paper Structure

This paper contains 18 sections, 6 equations, 14 figures, 3 tables.

Figures (14)

  • Figure 1: Schematic illustrating UHEN signal detection. An incident neutrino collides with an ice molecule at a 'vertex', producing Askaryan radiation (consisting of radially outward polarized propagating electric fields) geometrically confined to the surface of an expanding Cherenkov cone. As a result of the variable refractive index in the firn (deep purple), two rays (direct ['D'; solid lines] and refracted/reflected ['R'; dashed lines]) reach each of the Surface and also Deep receiver antennas. Purple lines show the highest-amplitude, 'on-Cone' signal; Red lines show weaker, 'off-Cone' signal.
  • Figure 2: Location of 2024 IDP hole at Summit Station.
  • Figure 3: Top: KU-VPol antenna schematic showing dimensions of antenna employed for data-taking and feed-point detail. An N-connectorized cable is threaded through the left cylindrical chamber to the central feed-point and then connected to the Vector Network Analyzer. This antenna is similar in design to VPol antennas used for main RNO-G data-taking. Bottom: CAD model of same dipole antenna, illustrating central collar used to maintain desired spacing between cylindrical halves, and also showing endcap axial stabilizer fins, used for 2025 measurements.
  • Figure 4: Beam pattern of dipole antenna used for data-taking, showing elevation (left) and azimuthal (right) gain. Measurements were taken in KU anechoic chamber.
  • Figure 5: Measured 2024 $S_{11}$ at various depths in ice, illustrating anomalous response observed at depths near 80 m (bottom row, central panel). Note the abrupt change in the shape of the resonance.
  • ...and 9 more figures