Implementing a Low-Threshold Analysis with the Askaryan Radio Array (ARA)

Allison, P.; Archambault, S.; Beatty, J. J.; Beheler-Amass, M.; Besson, D. Z.; Chen, C.H.; Chen, P.; Chen, Y.C.; Clark, Brian; Clay, W.; Connolly, A.; Cremonesi, L.; Dasgupta, P.; Davies, J.; Kockere, Simon De; Vries, Krijn de; Deaconu, C.; DuVernois, Michael; Flaherty, J.; Friedman, E.; Gaïor, R.; Hanson, Jordan C.; Hanson, K.; Harty, N.; Hendricks, B.; Hoffman, K. D.; Hokanson-Fasig, B.; Hong, Eugene; Hsu, Shih-Ying; Huang, J. J.; Huang, M.; Hughes, K.; Ishihara, A.; Karle, A.; Kelley, J. L.; Khandelwal, Rishabh; Kim, K.-C.; Kim, M.-C.; Krebs, Ryan; Kravchenko, I.; Ku, Yun Hyi; Kuo, Chih‐Ming; Kurusu, K.; Latif, Uzair Abdul; Laundrie, A.; Landsman, H.; Lu, Mingying; Liu, T.-C.; Madison, B.; Mase, K.; Meures, T.; Nam, Jeonghun; Novikov, Alexander; Nichol, R. J.; Nir, G.; Nozdrina, A.; Oberla, E.; O’Murchadha, A.; Osborn, J. D.; Pan, Yu; Pfendner, C.; Punsuebsay, N.; Roth, J. D.; Sandstrom, P.; Seckel, D.; Shiao, Y.-S.; Shultz, A.; Smith, D. J.B.; Torres, Jorge; Toscano, S.; Touart, J.; Eijndhoven, N. van; Varner, G.; Vieregg, A. G.; Wang, M.-Z.; Wang, S.-H.; Wang, Y.H.; Wissel, Stephanie; Xie, Cheng Min; Young, Robert D.; Yoshida, Sen

doi:10.22323/1.395.1153

Cited by 3 publications

(7 citation statements)

References 4 publications

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“…The right panel of Fig. 3 This most recent analysis shows a strong improvement at low signal-to-noise ratios, which was an outstanding issue to deliver on promised experiment sensitivities [36]. Right: Difference between measured and expected arrival directions from a pulser study with ARIANNA.…”

Section: Arianna Direction Reconstructionmentioning

confidence: 94%

“…However, some discussions are still very unique to radio, given that radio is still a step behind optical methods in not having detected a neutrino yet. Progress has been reported on all fronts, most notably in being able to extract low-SNR neutrino signals, which is required to reach the proposed sensitivities [36] (see also Figure 4). This was complemented.…”

Section: Radio Reconstructionmentioning

confidence: 99%

“…Figure 4: Left: Analysis efficiency resulting from an analysis of the phased array (PA) data compared to the most recent ARA Station 2 efficiency, scaled to have equal definitions. This most recent analysis shows a strong improvement at low signal-to-noise ratios, which was an outstanding issue to deliver on promised experiment sensitivities[36]. Right: Difference between measured and expected arrival directions from a pulser study with ARIANNA.…”

mentioning

confidence: 97%

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Rapporteur ICRC 2021: Neutrinos and Muons

Nelles¹

2021

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

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Section: Arianna Direction Reconstructionmentioning

confidence: 94%

Section: Radio Reconstructionmentioning

confidence: 99%

mentioning

confidence: 97%

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Rapporteur ICRC 2021: Neutrinos and Muons

Nelles¹

2021

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

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“…However, we will use the parameterization of Eq. (1) in the following because it generally provides good modeling of the South Pole ice [22], it is used in current analyses [24,8,13], and because we use the analytic ray tracer of NuRadioMC for a fast calculation of signal trajectories that only works with exponential density profiles. Typically, the parameters of the exponential index-of-refraction profile are determined from density measurements [22] which yield a good description of the bending of signal trajectories from deep in the ice to the surface as measured by the ARIANNA collaboration [24].…”

Section: Ice Modelmentioning

confidence: 99%

“…Many experiments are dedicated to building such a detector and pushing for a measurement of the neutrino flux up into the EeV region. The detector technology has been successfully explored in the pilot arrays ARIANNA [8] and ARA [13]. The Ra-dio Neutrino Observatory in Greenland (RNO-G) is the first detector of sufficient size to potentially detect the first UHE neutrino and is currently being constructed in Greenland (2021-2024) [14].…”

Section: Introductionmentioning

confidence: 99%

First-principle calculation of birefringence effects for in-ice radio detection of neutrinos

Heyer¹,

Gläser²

2022

Preprint

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The detection of high-energy neutrinos in the EeV range requires new detection techniques to cope with the small expected flux. The radio detection method, utilizing Askaryan emission, can be used to detect these neutrinos in polar ice. The propagation of the radio pulses has to be modeled carefully to reconstruct the energy, direction, and flavor of the neutrino from the detected radio flashes. Here, we study the effect of birefringence in ice, which splits up the radio pulse into two orthogonal polarization components with slightly different propagation speeds. This provides useful signatures to determine the neutrino energy and is potentially important to determine the neutrino direction to degree precision. We calculated the effect of birefringence from first principles where the only free parameter is the dielectric tensor as a function of position. Our code, for the first time, can propagate full RF waveforms, taking interference due to changing polarization eigenvectors during propagation into account. The model is available open-source through the NuRa-dioMC framework. We compare our results to in-situ calibration data from the ARA and ARIANNA experiments and find good agreement for the available time delay measurements, improving the predictions significantly compared to previous studies. Finally, the implications and opportunities for neutrino detection are discussed.

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First-principle calculation of birefringence effects for in-ice radio detection of neutrinos

Heyer

Gläser

2023

Eur. Phys. J. C

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The detection of high-energy neutrinos in the EeV range requires new detection techniques to cope with the small expected flux. The radio detection method, utilizing Askaryan emission, can be used to detect these neutrinos in polar ice. The propagation of the radio pulses has to be modeled carefully to reconstruct the energy, direction, and flavor of the neutrino from the detected radio flashes. Here, we study the effect of birefringence in ice, which splits up the radio pulse into two orthogonal polarization components with slightly different propagation speeds. This provides useful signatures to determine the neutrino energy and is potentially important to determine the neutrino direction to degree precision. We calculated the effect of birefringence from first principles where the only free parameter is the dielectric tensor as a function of position. Our code, for the first time, can propagate full RF waveforms, taking interference due to changing polarization eigenvectors during propagation into account. The model is available open-source through the NuRadioMC framework. We compare our results to in-situ calibration data from the ARA and ARIANNA experiments and find good agreement for the available time delay measurements. This indicates a significant improvement of the prediction power of birefringence effects compared to previous models. Finally, the implications and opportunities for neutrino detection are discussed.

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Implementing a Low-Threshold Analysis with the Askaryan Radio Array (ARA)

Abstract: Implementing a Low-Threshold Analysis with the Askaryan Radio Array (ARA) Kaeli Hughes , * on behalf of the ARA Collaboration

Cited by 3 publications

References 4 publications

Rapporteur ICRC 2021: Neutrinos and Muons

Rapporteur ICRC 2021: Neutrinos and Muons

First-principle calculation of birefringence effects for in-ice radio detection of neutrinos

First-principle calculation of birefringence effects for in-ice radio detection of neutrinos

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