PD Dr. Robert Lahmann



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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Solar flare observations with the Radio Neutrino Observatory Greenland (RNO-G) (2025) Agarwal S, Aguilar JA, Ali S, Allison P, Betts M, Besson D, Bishop A, et al. Journal article Developing new analysis tools for near surface radio-based neutrino detectors (2023) Anker A, Baldi P, Barwick S, Beise J, Besson D, Chen P, Gaswint G, et al. Journal article Radiofrequency ice dielectric measurements at Summit Station, Greenland (2023) Aguilar JA, Allison P, Besson D, Bishop A, Botner O, Bouma S, Buitink S, et al. Journal article TAROGE-M: radio antenna array on antarctic high mountain for detecting near-horizontal ultra-high energy air showers (2022) Wang SH, Nam J, Chen P, Chen Y, Choi T, Ham YB, Hsu SY, et al. Journal article Search for Spatial Correlations of Neutrinos with Ultra-high-energy Cosmic Rays (2022) Albert A, Domi A, Alves S, Andre M, Anghinolfi M, Ardid S, Aubert JJ, et al. Journal article Search for magnetic monopoles with ten years of the ANTARES neutrino telescope (2022) Albert A, Alves S, André M, Anghinolfi M, Anton G, Ardid M, Ardid S, et al. Journal article In situ, broadband measurement of the radio frequency attenuation length at Summit Station, Greenland (2022) Aguilar JA, Allison P, Beatty JJ, Besson D, Bishop A, Botner O, Bouma S, et al. Journal article Measuring the polarization reconstruction resolution of the ARIANNA neutrino detector with cosmic rays (2022) Anker A, Baldi P, Barwick SW, Beise J, Besson DZ, Bouma S, Cataldo M, et al. Journal article TAROGE-M: Radio Observatory on Antarctic High Mountain for Detecting Near-Horizon Ultra-High Energy Air Showers (2022) Wang SH, Chen P, Chen Y, Huang JJ, Huang MHA, Kuo CY, Leung CH, et al. Conference contribution Improving sensitivity of the ARIANNA detector by rejecting thermal noise with deep learning (2022) Anker A, Baldi P, Barwick SW, Beise J, Besson DZ, Bouma S, Cataldo M, et al. Journal article