A predictive analytic model for the solar modulation of cosmic rays
Abstract
An important factor limiting our ability to understand the production and propagation of cosmic rays pertains to the effects of heliospheric forces, commonly known as solar modulation. The solar wind is capable of generating time- and charge-dependent effects on the spectrum and intensity of low-energy (≲10 GeV) cosmic rays reaching Earth. Previous analytic treatments of solar modulation have utilized the force-field approximation, in which a simple potential is adopted whose amplitude is selected to best fit the cosmic-ray data taken over a given period of time. Making use of recently available cosmic-ray data from the Voyager 1 spacecraft, along with measurements of the heliospheric magnetic field and solar wind, we construct a time-, charge- and rigidity-dependent model of solar modulation that can be directly compared to data from a variety of cosmic-ray experiments. Here, we provide a simple analytic formula that can be easily utilized in a variety of applications, allowing us to better predict the effects of solar modulation and reduce the number of free parameters involved in cosmic-ray propagation models.
- Authors:
-
- The Johns Hopkins Univ., Baltimore, MD (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Univ. of Chicago, Chicago, IL (United States)
- Univ. of Chicago, Chicago, IL (United States); The Ohio State Univ., Columbus, OH (United States)
- Publication Date:
- Research Org.:
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- OSTI Identifier:
- 1247502
- Alternate Identifier(s):
- OSTI ID: 1238825
- Report Number(s):
- FERMILAB-PUB-15-477-A; arXiv:1511.01507
Journal ID: ISSN 2470-0010; PRVDAQ; 1402925
- Grant/Contract Number:
- AC02-07CH11359; FG02-13ER41958; SC0009924
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Physical Review D
- Additional Journal Information:
- Journal Volume: 93; Journal Issue: 4; Journal ID: ISSN 2470-0010
- Publisher:
- American Physical Society (APS)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS; 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
Citation Formats
Cholis, Ilias, Hooper, Dan, and Linden, Tim. A predictive analytic model for the solar modulation of cosmic rays. United States: N. p., 2016.
Web. doi:10.1103/PhysRevD.93.043016.
Cholis, Ilias, Hooper, Dan, & Linden, Tim. A predictive analytic model for the solar modulation of cosmic rays. United States. https://doi.org/10.1103/PhysRevD.93.043016
Cholis, Ilias, Hooper, Dan, and Linden, Tim. Tue .
"A predictive analytic model for the solar modulation of cosmic rays". United States. https://doi.org/10.1103/PhysRevD.93.043016. https://www.osti.gov/servlets/purl/1247502.
@article{osti_1247502,
title = {A predictive analytic model for the solar modulation of cosmic rays},
author = {Cholis, Ilias and Hooper, Dan and Linden, Tim},
abstractNote = {An important factor limiting our ability to understand the production and propagation of cosmic rays pertains to the effects of heliospheric forces, commonly known as solar modulation. The solar wind is capable of generating time- and charge-dependent effects on the spectrum and intensity of low-energy (≲10 GeV) cosmic rays reaching Earth. Previous analytic treatments of solar modulation have utilized the force-field approximation, in which a simple potential is adopted whose amplitude is selected to best fit the cosmic-ray data taken over a given period of time. Making use of recently available cosmic-ray data from the Voyager 1 spacecraft, along with measurements of the heliospheric magnetic field and solar wind, we construct a time-, charge- and rigidity-dependent model of solar modulation that can be directly compared to data from a variety of cosmic-ray experiments. Here, we provide a simple analytic formula that can be easily utilized in a variety of applications, allowing us to better predict the effects of solar modulation and reduce the number of free parameters involved in cosmic-ray propagation models.},
doi = {10.1103/PhysRevD.93.043016},
journal = {Physical Review D},
number = 4,
volume = 93,
place = {United States},
year = {Tue Feb 23 00:00:00 EST 2016},
month = {Tue Feb 23 00:00:00 EST 2016}
}
Web of Science
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