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Authors: D. Ruffolo
A. Sáiz
P. S. Mangeard
N. Kamyan
P. Muangha
T. Nutaro
S. Sumran
C. Chaiwattana
N. Gasiprong
C. Channok
C. Wuttiya
M. Rujiwarodom
P. Tooprakai
B. Asavapibhop
J. W. Bieber
J. Clem
P. Evenson
K. Munakata
Mahidol University
South Carolina Commission on Higher Education
National Astronomical Research Institute of Thailand
Ubon Rajathanee University
Rajabhat University
Chulalongkorn University
Bartol Research Institute
Shinshu University
Keywords: Earth and Planetary Sciences
Issue Date: 20-Jan-2016
Citation: Astrophysical Journal. Vol.817, No.1 (2016)
Abstract: © 2016. The American Astronomical Society. All rights reserved. Neutron monitors (NMs) are ground-based detectors of cosmic-ray showers that are widely used for high-precision monitoring of changes in the Galactic cosmic-ray (GCR) flux due to solar storms and solar wind variations. In the present work, we show that a single neutron monitor station can also monitor short-term changes in the GCR spectrum, avoiding the systematic uncertainties in comparing data from different stations, by means of NM time-delay histograms. Using data for 2007-2014 from the Princess Sirindhorn Neutron Monitor, a station at Doi Inthanon, Thailand, with the world's highest vertical geomagnetic cutoff rigidity of 16.8 GV, we have developed an analysis of time-delay histograms that removes the chance coincidences that can dominate conventional measures of multiplicity. We infer the "leader fraction" L of neutron counts that do not follow a previous neutron count in the same counter from the same atmospheric secondary, which is inversely related to the actual multiplicity and increases for increasing GCR spectral index. After correction for atmospheric pressure and water vapor, we find that L indicates substantial short-term GCR spectral hardening during some but not all Forbush decreases in GCR flux due to solar storms. Such spectral data from Doi Inthanon provide information about cosmic-ray energies beyond the Earth's maximum geomagnetic cutoff, extending the reach of the worldwide NM network and opening a new avenue in the study of short-term GCR decreases.
ISSN: 15384357
Appears in Collections:Scopus 2016-2017

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