MITO: a new directional muon telescope | Journal of Space Weather and Space Climate

Topical Issue - Space Weather Instrumentation

Open Access

Issue		J. Space Weather Space Clim. Volume 11, 2021 Topical Issue - Space Weather Instrumentation


Article Number		13
Number of page(s)		16
DOI		https://doi.org/10.1051/swsc/2020079
Published online		12 February 2021

Aguayo Navarrete E, Kouzes RT, Ankney AS, Orrell JL, Berguson TJ, Troy MD. 2011. Cosmic ray interactions in shielding materials. https://doi.org/10.2172/1025678, https://www.pnnl.gov/main/491publications/external/technical_reports/PNNL-20693.pdf. [Google Scholar]
Ayuso S, Blanco JJ, Medina J, Gómez-Herrero R, García-Población O, García Tejedor I. 2016. A coincidence detection system based on real-time software. Geosci Instrum Methods Data Syst 5(2): 437–449. https://doi.org/10.5194/gi-5-437-2016, URL https://gi.copernicus.org/articles/5/437/2016/. [Google Scholar]
Ayuso S, García Tejedor JI, Blanco JJ, Gómez Herrero R, García Población O, Medina J, Prieto M, López Comazzi A. 2019. MITO, a new directional muon telescope design. First observations. PoS ICRC2019: 180. https://doi.org/10.22323/1.358.0180, URL https://pos.sissa.it/358/180/. [Google Scholar]
Berkova M, Belov A, Eroshenko E, Yanke V. 2012. Temperature effect of muon component and practical questions of how to take into account in real time. Astrophys Space Sci Trans 8(1): 41–44. https://doi.org/10.5194/astra-8-41-2012, URL http://www.astrophys-space-sci-trans.net/8/41/2012/. [Google Scholar]
Blanco JJ, Catalán E, Hidalgo MA, Medina J, García O, Rodríguez-Pacheco J. 2013a. Observable effects of interplanetary coronal mass ejections on ground level neutron monitor count rates. Sol Phys 284(1): 167–178. https://doi.org/10.1007/s11207-013-0256-1, URL https://link.springer.com/article/10.1007/s11207-013-0256-1. [Google Scholar]
Blanco JJ, Hidalgo MA, Gómez-Herrero R, Rodríguez-Pacheco J, Heber B, Wimmer-Schweingruber RF, Martín C. 2013b. Energetic-particle-flux decreases related to magnetic cloud passages as observed by the Helios 1 and 2 spacecraft. A&A 556: A146. https://doi.org/10.1051/0004-6361/201321739. [EDP Sciences] [Google Scholar]
Blanco JJ, García Población O, García Tejedor JI, Medina J, Prieto M, López-Comazzi A, Ayuso S, Gómez-Herrero R, Steigies C. 2019. A new neutron monitor at the Juan Carlos I Spanish Antarctic Station (Livingston Island-Antarctic Peninsula). PoS ICRC2019: 1060. https://doi.org/10.22323/1.358.1060, URL https://pos.sissa.it/358/1060/. [Google Scholar]
Cane HV. 2000. Coronal mass ejections and forbush decreases. Space Sci Rev 93: 55–77. https://doi.org/10.1023/A:1026532125747. [Google Scholar]
Cane HV, Richardson IG, St. Cyr OC. 2000. Coronal mass ejections, interplanetary ejecta and geomagnetic storms. Geophys Res Lett 27(21): 3591–3594. https://doi.org/10.1029/2000GL000111, URL https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2000GL000111. [NASA ADS] [CrossRef] [Google Scholar]
Cecchini S, Spurio M. 2012. Atmospheric muons: experimental aspects. Geosci Instrum Methods Data Syst 1(2): 185–196. https://doi.org/10.5194/gi-1-185-2012, URL https://www.geosci-instrum-method-data-syst.net/1/185/2012/. [Google Scholar]
da Silva MR, Contreira DB, Monteiro S, Trivedi NB, Munakata K, Kuwabara T, Schuch NJ. 2004. Cosmic ray muon observation at southern space observatory – SSO (29S, 53W). Astrophys Space Sci 290(3): 389–397. https://doi.org/10.1023/B:ASTR.0000032537.23712.22, URL https://ui.adsabs.harvard.edu/abs/2004Ap&SS.290.389D. [Google Scholar]
De Mendonça RRS, Raulin JP, Echer E, Makhmutov VS, Fernandez G. 2013. Analysis of atmospheric pressure and temperature effects on cosmic ray measurements. J Geophys Res: Space Phys 118(4): 1403–1409. https://doi.org/10.1029/2012JA018026, URL https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2012JA018026. [Google Scholar]
Dorman L. 2004. Cosmic rays in the Earth’s atmosphere and underground, Vol. 303. https://doi.org/10.1007/978-1-4020-2113-8, URL https://link.springer.com/book/10.1007%2F978-1-4020-2113-8. [CrossRef] [Google Scholar]
Duldig M. 2000. Muon observations. Space Sci Rev 93: 207–226. https://doi.org/10.1023/A:1026596529381, URL https://link.springer.com/article/10.1023%2FA%3A1026596529381. [Google Scholar]
Havelka M, Auerbach P, Sochorová J. 2002. Software coincidence counting. Appl Radiat Isot 56(1): 265–268. Proceedings of the Conference on Radionuclide Metrology and its Applications, ICRM’01. https://doi.org/10.1016/S0969-8043(01)00198-1, URL http://www.sciencedirect.com/science/article/pii/S0969804301001981. [Google Scholar]
Karapetyan Grigori, Ganeva Marina, Hippler Rainer. 2013. Directional sensitivity of MuSTAnG muon telescope. J Space Weather Space Clim 3: A16. https://doi.org/10.1051/swsc/2013040. [Google Scholar]
Leerungnavarat K, Ruffolo D, Bieber JW. 2003. Loss cone precursors to forbush decreases and advance warning of space weather effects. Astrophys J 593(1): 587–596. https://doi.org/10.1086/376408, https://iopscience.iop.org/article/10.1086/376408. [Google Scholar]
Mavromichalaki H, Yanke V, Dorman L, Iucci N, Chilingaryan A, Kryakunova O. 2004. Neutron Monitor Network In Real Time And Space Weather. In: Effects of Space Weather on Technology Infrastructure, Daglis IA (Ed.), Springer, Netherlands, Dordrecht, pp. 301–317. ISBN 978-1-4020-2754-3. https://doi.org/10.1007/1-4020-2754-0_16, http://fzk.aragats.am/files/Publication/Neutron_Monitor_Network_in_Real_Time_and_Space_Wea.pdf, URL https://link.springer.com/chapter/10.1007%2F1-4020-2754-0_16. [Google Scholar]
Medina J, Blanco JJ, García O, Gómez-Herrero R, Catalán EJ, et al. 2013. Castilla-La Mancha neutron monitor. Nucl Instrum Methods Phys Res Sect A: Accel Spectr Detect Assoc Equip 727: 97–103. https://doi.org/10.1016/j.nima.2013.06.028, http://www.sciencedirect.com/science/article/pii/S0168900213008486. [Google Scholar]
Mendonça RRS, Wang C, Braga CR, Echer E, Dal Lago A, et al. 2019. Analysis of cosmic rays’ atmospheric effects and their relationships to cutoff rigidity and zenith angle using global muon detector network Data. J Geophys Res: Space Phys 124(12): 9791–9813. https://doi.org/10.1029/2019JA026651, https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2019JA026651, https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019JA026651. [Google Scholar]
Müller-Mellin R, Kunow H, Fleißner V, Pehlke E, Rode E, et al. 1995. COSTEP – comprehensive suprathermal and energetic particle analyser. Sol Phys 162(1–2): 483–504. https://doi.org/10.1007/BF00733437, http://articles.adsabs.harvard.edu/pdf/1995SoPh.162.483. [NASA ADS] [CrossRef] [Google Scholar]
Munakata K, Bieber JW, Yasue S-I, Kato C, Koyama M, Akahane S, Fujimoto K, Fujii Z, Humble JE, Duldig ML. 2000. Precursors of geomagnetic storms observed by the muon detector network. J Geophys Res: Space Phys 105(A12): 27457–27468. https://doi.org/10.1029/2000JA000064, https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2000JA000064, https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2000JA000064. [Google Scholar]
Munakata K, Kuwabara T, Yasue S, Kato C, Akahane S, et al. 2005. A “loss cone” precursor of an approaching shock observed by a cosmic ray muon hodoscope on October 28, 2003. Geophys Res Lett 32(3): L03S04 (1–4). https://doi.org/10.1029/2004GL021469, https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2004GL021469, https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2004GL021469, https://agupubs.onlinelibrary.wiley.com/action/showCitFormats?doi=10.1029%2F2004GL021469. [Google Scholar]
Munakata K, Kozai M, Evenson P, Kuwabara T, Kato C, et al. 2018. Cosmic-ray short burst observed with the Global Muon Detector Network (GMDN) on 2015 June 22. Astrophys J 862(2): 170. https://doi.org/10.3847/1538-4357/aacdfe, URL https://doi.org/10.3847%2F1538-4357%2Faacdfe. [Google Scholar]
Paschalis P, Mavromichalaki H, Yanke V, Belov A, Eroshenko E, Gerontidou M, Koutroumpi I. 2013. Online application for the barometric coefficient calculation of the NMDB stations. New Astron 19: 10–18. https://doi.org/10.1016/j.newast.2012.08.003, URL http://www.sciencedirect.com/science/article/pii/S1384107612000759. [Google Scholar]
Pharr M, Jakob W, Humphreys G. 2017. 08 – Reflection models. In: Physically based rendering (third edition), Pharr M, Jakob W, Humphreys G (Eds.), third edn, Morgan Kaufmann, Boston, pp. 507–568. ISBN 978-0-12-800645-0. https://doi.org/10.1016/B978-0-12-800645-0.50008-7, URL http://www.sciencedirect.com/science/article/pii/B9780128006450500087. [Google Scholar]
Regadío A, Tejedor JIG, Ayuso S, Población Óscar García, Blanco JJ, Sánchez-Prieto S, Polo Óscar Rodriguez. 2020. Trajectory determination of muons using scintillators and a novel self-organizative map. Nucl Instrum Methods Phys Res Sect A: Accel Spectr Detect Assoc Equip 973: 164–166. https://doi.org/10.1016/j.nima.2020.164166, URL http://www.sciencedirect.com/science/article/pii/S0168900220305623. [Google Scholar]
Rockenbach M, Dal Lago A, Schuch N, Munakata K, Kuwabara T, et al. 2014. Global muon detector network used for space weather applications. Space Sci Rev 182(1–4): 1–18. URL https://link.springer.com/article/10.1007%2Fs11214-014-0048-4. [Google Scholar]
Sato T, Yasuda H, Niita K, Endo A, Sihver L. 2008. Development of PARMA: PHITS-based analytical radiation model in the atmosphere. Radiat Res 170(2): 244–259. https://doi.org/10.1667/RR1094.1, URL https://meridian.allenpress.com/radiation-research/article-pdf/170/2/244/2155866/rr1094_1.pdf. [CrossRef] [Google Scholar]
Savic M, Dragic A, Veselinovic N, Udovicic V, Banjanac R, Jokovic D, Maletic D. 2016. Effect of pressure and temperature corrections on muon flux variability at ground level and underground. https://arxiv.org/pdf/1701.00164.pdf. [Google Scholar]
Tanabashi M, Hagiwara K, Hikasa K, Nakamura K, Sumino Y, et al (Particle Data Group). 2018. Review of particle physics. Phys Rev D 98: 030,001. https://doi.org/10.1103/PhysRevD.98.030001, URL https://link.aps.org/doi/10.1103/PhysRevD.98.030001. [Google Scholar]
Wright AG. 2017. The photomultiplier handbook. Oxford University Press, Oxford. https://doi.org/10.1093/oso/9780199565092.001.0001, URL https://cds.cern.ch/record/2258194. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.