Geological calibration of spallation production rates in the CRONUS-Earth project

By Brian Borchers, S. Marrero, G. Balco, M. Caffee, B. Goehring, N. Lifton, K. Nishiizumi, F. Phillips, J. Schaefer, J. Stone. 2016

681 citations recorded by the source corpus.

Subfields: Atmospheric Science, Ecology, Geophysics

View Paper: https://www.semanticscholar.org/paper/1187649e31111deb3e98ab08a1bd083dfe6c3dee

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. G. Balco
2. V. Laurent
3. L. Martin
4. Romain Delunel
5. Jérôme Lavé
6. N. Lifton
7. P. Blard

In Ecology

1. G. Balco
2. N. Lifton

In Geophysics

1. G. Balco
2. N. Lifton

Citations in the corpus

• The CREp program and the ICE-D production rate calibration database: A fully parameterizable and updated online tool to compute cosmic-ray exposure ages (2017, methodology): “The SLHL production rates compiled in CREp from the global ICE-D database have values that are comparable with recent compilation (Borchers et al., 2016; Delunel et al., 2016; Heyman, 2014; Marrero et al., 2016).”
• Production rate calculations for cosmic-ray-muon-produced 10Be and 26Al benchmarked against geological calibration data (2017, methodology): “…922 to disprove – that total scaling uncertainty for muon production using Model 1A is no 923 larger than scaling uncertainty for spallogenic production, which has been estimated 924 from scatter in surface production rate calibration data to be in the range of 6-10% 925 (Borchers et al., 2016).”