91 citations · 199 across the 8 of their papers we have counts for
7 papers
Airborne Radiometric Surveys and Machine Learning Algorithms for Revealing Soil Texture
Andrea Maino, Matteo Alberi, Emiliano Anceschi +15
Soil texture is key information in agriculture for improving soil knowledge and crop performance, so the accurate mapping of this crucial feature is imperative for rationally plann…
Calibration Strategy of the JUNO Experiment
JUNO collaboration, Angel Abusleme, Thomas Adam +588
We present the calibration strategy for the 20 kton liquid scintillator central detector of the Jiangmen Underground Neutrino Observatory (JUNO). By utilizing a comprehensive multi…
Optimization of the JUNO liquid scintillator composition using a Daya Bay antineutrino detector
Daya Bay, JUNO collaborations, : +646
To maximize the light yield of the liquid scintillator (LS) for the Jiangmen Underground Neutrino Observatory (JUNO), a 20 t LS sample was produced in a pilot plant at Daya Bay. Th…
Feasibility and physics potential of detecting B solar neutrinos at JUNO
JUNO collaboration, Angel Abusleme, Thomas Adam +589
The Jiangmen Underground Neutrino Observatory~(JUNO) features a 20~kt multi-purpose underground liquid scintillator sphere as its main detector. Some of JUNO's features make it an…
Expected geoneutrino signal at JUNO
Virginia Strati, Marica Baldoncini, Ivan Callegari +4
Constraints on the Earth's composition and on its radiogenic energy budget come from the detection of geoneutrinos. The KamLAND and Borexino experiments recently reported the geone…
Reference worldwide model for antineutrinos from reactors
Marica Baldoncini, Ivan Callegari, Giovanni Fiorentini +4
Antineutrinos produced at nuclear reactors constitute a severe source of background for the detection of geoneutrinos, which bring to the Earth's surface information about natural…