Design and sensitivity of the Radio Neutrino Observatory in Greenland (RNO-G)

Aguilar, J. A.; Allison, P.; Beatty, J. J.; Bernhoff, Hans; Besson, D.; Bingefors, N.; Botner, O.; Buitink, S.; Carter, K.; Clark, Brian; Connolly, A.; Dasgupta, P.; Kockere, Simon De; Vries, Krijn de; Deaconu, C.; DuVernois, Michael; Feigl, Nora; García-Fernández, Daniel; Gläser, Christian; Hallgren, A.; Hallmann, S.; Hanson, Jordan C.; Hendricks, B. Clifford; Hokanson-Fasig, B.; Hornhuber, C.; Hughes, K.; Karle, A.; Kelley, J. L.; Klein, S. R.; Krebs, Ryan; Lahmann, R.; Magnuson, Mitchell; Meures, T.; Meyers, Zachary S.; Nelles, A.; Novikov, Alexander; Oberla, E.; Oeyen, Bob; Pandya, Hershal; Plaisier, Ilse; Pyras, Lilly; Ryckbosch, D.; Scholten, Olaf; Seckel, D.; Smith, Daniel A.; Southall, Daniel; Torres, Jorge; Toscano, S.; Broeck, Dieder Van den; Eijndhoven, N. van; Vieregg, A. G.; Welling, Christoph; Wissel, S.; Young, R.; Zink, A.

doi:10.1088/1748-0221/16/03/p03025

Cited by 107 publications

(77 citation statements)

References 233 publications

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“…The technology has been developed in small pilot arrays over the last decade and the hardware has proven to work reliably in harsh polar conditions [1,2]. Currently the first discovery scale detector, the Radio Neutrino Observatory in Greenland (RNO-G) [3] is under construction. A detector with similar sensitivity that builds up on the ARIANNA pilot array is proposed for the Ross Ice Shelf [4] and an order of magnitude larger array is foreseen as part of IceCube-Gen2 [5].…”

Section: Introductionmentioning

confidence: 99%

Prospects for neutrino-flavor physics with in-ice radio detectors

Gläser¹,

García-Fernández²,

Nelles³

2021

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

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The detection of the radio emission following a neutrino interaction in ice is a promising technique to obtain significant sensitivities to neutrinos with energies above 10 PeV. The detectable radio emission stems from particle showers in the ice. So far, detector simulations have considered only the radio emission from the primary interaction of the neutrino. We present how the simulation code NuRadioMC was extended to cover secondary interactions from muons and taus. Muons and taus, created by an interaction of the corresponding neutrino, can create several additional detectable showers during their propagation through the ice, which adds up to 25% to the effective volume of neutrino detectors. It provides a signature for the neutrino flavor and improves event reconstruction if multiple of these showers are detected. We simulated the signatures of secondary interactions for the RNO-G detector in Greenland and the proposed radio detector of IceCube-Gen2. We also find that the background of atmospheric muons from cosmic rays is non-negligible for in-ice arrays and that an air shower veto should be considered helpful for radio detectors.

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Section: Introductionmentioning

confidence: 99%

Prospects for neutrino-flavor physics with in-ice radio detectors

Gläser¹,

García-Fernández²,

Nelles³

2021

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

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“…Shallow detector stations are part of the RNO-G array that is currently being constructed in Greenland [7], they make up the proposed ARIANNA-200 detector [8,9] which will consist of 200 autonomous radio detector stations installed on the Ross Ice Shelf in Antarctica, and are an integral part of the plans for IceCube-Gen2 [10].…”

Section: Introductionmentioning

confidence: 99%

Deep learning reconstruction of the neutrino energy with a shallow Askaryan detector

Gläser¹,

McAleer²,

Baldi³

et al. 2021

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

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Cost effective in-ice radio detection of neutrinos above a few 10 16 eV has been explored successfully in pilot-arrays. A large radio detector is currently being constructed in Greenland with the potential to measure the first cosmogenic neutrino, and an order-of-magnitude more sensitive detector is being planned with IceCube-Gen2. We present the first end-to-end reconstruction of the neutrino energy from radio detector data. NuRadioMC was used to create a large data set of 40 million events of expected radio signals that are generated via the Askaryan effect following a neutrino interaction in the ice for a broad range of neutrino energies between 100 PeV and 10 EeV. We simulated the voltage traces that would be measured by the five antennas of a shallow detector station in the presence of noise. We designed and trained a deep neural network to determine the shower energy directly from the simulated experimental data and achieve a resolution better than a factor of two (STD < 0.3 in log10(E)) which is below the irreducible uncertainty from inelasticity fluctuations. We present the model architecture and study the dependence of the resolution on event parameters. This method will enable Askaryan detectors to measure the neutrino energy.

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“…The preparation of up-coming large-scale radio experiments (e.g., GRAND [6], AugerPrime-Radio [7], RNO [9], IceCube-Gen2-Radio [8]) requires to run a large number of air-shower simulations to evaluate their performances. While microscopic approaches such as Monte-Carlo simulations (ZHAireS [4], CoREAS [5]) provide an accurate way to model the radio-emission, these are highly time consuming with hours of computation needed to generate the radio signal of a single air-shower at the location of a hundred antennas.…”

Section: Introductionmentioning

confidence: 99%

Radio-Morphing: a fast, efficient and accurate tool to compute the radio signals from air-showers

Chiche¹,

Martineau‐Huynh²,

Kotera³

et al. 2021

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

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Radio detection of air-showers is a mature technique that has gained momentum over the past decades. With increasingly large-scale experiments, massive air-shower simulations are needed to evaluate the radio signal at each antenna position. Radio Morphing was developed for this purpose. It is a semi-analytical tool that enables a fast computation of the radio signal emitted by any air-shower at any location, from the simulation data of one single reference shower at given positions. It relies on simple electromagnetic scaling laws of the radio emission (i.e., electric field) at the antenna level and then an interpolation of the radio pulse at the desired positions. We present here major improvements on the Radio Morphing method that have been implemented recently. The upgraded version is based on revised and refined scaling laws, derived from physical principles. It also includes shower-to-shower fluctuations and a new spatial interpolation technique, thanks to which an excellent signal timing accuracy of a fraction of nanosecond can be reached. This new implementation, provides simulated signals with relative differences on the peak-to-peak amplitude of ZHAireS simulations below 10% (respectively 25%) for 91% (99%) of antennas while the computation time was reduced by more than 2 orders of magnitude compared to standard simulations. This makes Radio Morphing an efficient tool that allows for a fast and accurate computation of air-shower radio signals. Further implementation of Askaryan emission or enabling to use an input value of the geomagnetic field should reduce relative differences with ZHAireS by few percents and make the method more universal.

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Design and sensitivity of the Radio Neutrino Observatory in Greenland (RNO-G)

Cited by 107 publications

References 233 publications

Prospects for neutrino-flavor physics with in-ice radio detectors

Prospects for neutrino-flavor physics with in-ice radio detectors

Deep learning reconstruction of the neutrino energy with a shallow Askaryan detector

Radio-Morphing: a fast, efficient and accurate tool to compute the radio signals from air-showers

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