Year: 2025
Type: conference-paper
Abstract: The Radio Neutrino Observatory in Greenland (RNO-G) aims to detect ultra-high-energy astro- physical neutrinos (E > 100 PeV). These neutrinos interact with the Greenlandic ice sheet, generating a particle cascade that emits radiation in the radio frequency range through the Askaryan effect. Once fully deployed, RNO-G will be the largest in-ice radio neutrino detector. Currently, 8 out of 35 planned detector stations have been built and are actively collecting science data. This work aims to perform an end-to-end in-situ absolute amplitude calibration using randomly triggered data, filtered to only include thermal noise background. Precise understanding of the absolute system gain is essential for interpreting RNO-G’s science data. Moreover, an accurate knowledge of the system response is key to optimize detector simulation, hence enhancing the reliability of analysis outcomes. To this end, thermal noise is simulated by taking into account both electronic noise and thermal radiation from the surrounding ice, folded through a nominal detector description of the instrument response as measured in the lab. By comparing simulated noise and detected noise, a calibration has been derived to fine-tune the description of the absolute system gain.
DOI: 10.22323/1.501.1003
Authors: Ruben Camphyn, Sanyukta Agarwal, Juan Antonio Aguilar, Nathaniel Alden, Shoukat Ali, Patrick Allison, Michael Betts, Dave Besson, Abigail Bishop, Olga Botner, Sjoerd Bouma, Stijn Buitink, Jason Chan, Simon Chiche, Brian Clark, Alan Coleman, Kenneth Couberly, Simon De Kockere, Krijn de Vries, Cosmin Deaconu, Pawan Giri, Christian Glaser, Thorsten Glüsenkamp, Heidi Gui, Allan Hallgren, Steffen Hallmann, Jordan Hanson, Klaus Helbing, Bryan L. Hendricks, Jakob Henrichs, Nils Heyer, Christian Hornhuber, Enrique Huesca Santiago, Kaeli Hughes, Annanay Jaitly, Timo Karg, Albrecht Karle, John Kelley, Claudio Kopper, michael Korntheuer, Marek Kowalski, Ilya Kravchenko, Ryan Krebs, Mirko Kugelmeier, Robert Lahmann, Martin Liu, Mathew Marsee, Katharine Mulrey, Marco Muzio, Anna Nelles, Alexander Novikov, Alisa Nozdrina, Eric Oberla, Bob Oeyen, Noppadol Punsuebsay, Lilly Pyras, Martin Langgård Ravn, Adam Rifaie, Dirk Ryckbosch, Felix Schlüter, Olaf Scholten, Dave Seckel, Mohammad Seikh, Zeynep Su Selcuk, Juliana Stachurska, Jethro Stoffels, Simona Toscano, Delia Tosi, James Tutt, Dieder Jan Van Den Broeck, Nick van Eijndhoven, Abigail G. Vieregg, Aishwarya Vijai, Christoph Welling, Dawn Williams, Philipp Windischhofer, Stephanie Wissel, Rob Young, Adrian Zink
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Awards: Infrastructure to enhance IceCube, G1876581842, Collaborative Research: WoU-MMA: New Advancements to Enable Multi-Messenger Neutrino Astrophysics with the Radio Neutrino Observatory in Greenland, RII Track-2 FEC: The IceCube EPSCoR Initiative (IEI) - IceCube and the Data Revolution, G434337789, G6461067166, Reconstruction of the properties of ultra-high energy neutrinos from radio detector data using deep learning, G6759262517, Collaborative Research: WoU-MMA: Ultrahigh Energy Neutrinos with the Radio Neutrino Observatory in Greenland, Collaborative Research: WoU-MMA: New Advances to Enable Multi-Messenger Neutrino Astrophysics with the Radio Neutrino Observatory in Greenland, Collaborative Research: WoU-MMA: Ultrahigh Energy Neutrinos with the Radio Neutrino Observatory in Greenland, Collaborative Research: WoU-MMA: New Advancements to Enable Multi-Messenger Neutrino Astrophysics with the Radio Neutrino Observatory in Greenland, Discovering neutrinos of extreme energies with the Radio Neutrino Observatory Greenland, WoU-MMA: Cosmic Ray and Background Identification with RNO-G
OpenAlex ID: W4414513439