see-2005 nor amberd, armenia 28 september 2005
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SEE-2005 Nor Amberd, Armenia 28 September 2005. ?. ?. S. Long-term prediction of solar extreme events basing on the general regularities of energetic particle generation by the Sun by Rikho Nymmik Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University. E. - PowerPoint PPT PresentationTRANSCRIPT
Long-term prediction of solar extreme events
basing on the general regularities of energetic particle generation by the Sun
by Rikho NymmikSkobeltsyn Institute of Nuclear Physics,
Lomonosov Moscow State University
SEE-2005 Nor Amberd, Armenia 28 September 2005
S
E
? ?
The SEP generation by the Sun and the SEP event occurrences in the Earth
orbit
are of probabilistic nature.
• But certain regularities inherent to SEP fluxes and events can well be inferred from the present-day experimental data.
• These regularities may be used in predicting the probability for SEP events (the solar extreme events, in particular) to occur.
Rikho NymmikNor Amberd, September 2005
There exist some myths about the extreme SEP event occurrences
These myths were formulated by:
• J. King (1974)
• J. Goswami et al. (1988)• J. Feynman et al. (1990)
Rikho NymmikNor Amberd, September 2005
J. King (1974)
(in King, J.H. Solar Proton Fluences for 1977-1983 Space Missions, Journal of Spacecraft and Rockets, v.11, No.6,
pp.401-409, 1974.)
states that
Rikho NymmikNor Amberd, September 2005
“anomalously large events are somewhat more likely
to occur early or late in the active phase of solar cycle”.
J. Goswami et al. (1988) in (Goswami J.N.,.McGuire R.E,.Reedy R.C,.Lal D, and Jha R., Solar flare protons and alpha particles during the last three
solar cycles, JGR, V.93, No.A7, pp.7195-7205, 1988.)
claim that
• „it is the fact that major flare events are relative rare near the sunspot maximum and occur mostly
in the ascending and declining phases of sunspot occurrence“.
Rikho NymmikNor Amberd, September 2005
J. Feynman et al. (1990) in (Feynman J., T.P.Armstrong, L.Dao-Gibner, and
S.Silverman, Solar proton events during solar cycles 19, 20, and 21. Solar Physics 126, 385-401, 1990b.)
say
Rikho NymmikNor Amberd, September 2005
“there may be a tendency for the largest events
to occur during the 2nd to 4th year after SA maximum”
All these declarations are of illusory but not physical
nature, because they have never been
supported by any mathematical or statistical
argument
Rikho NymmikNor Amberd, September 2005
We set forth quite a different concept of the extreme SEP event occurrences,
basing on the statistical and mathematical methods of analyzing the
SEP experimental data.
We presented our concept first at the ICRC-25 in 1999.
(Nymmik R.A., Relationships among solar activity, SEP occurrence frequency, and solar energetic particle distribution function, in: Proceedings of
the 26-th ICRC V. 8, 3197-3200, 1999.)
Rikho NymmikNor Amberd, September 2005
The concept of this work was essentially as follows:
• The SEP event proton distribution functions for different solar activity periods can be described to be power-law functions that have the same spectral form (i.e., the same spectral indices and depending on particle energy turnoff fluxes).
• The large (extreme) SEP events occur to within quite a definite probability at any SA, even during solar minima.
Rikho NymmikNor Amberd, September 2005
It is now indisputable that the extremely solar events are part of
the total set of SEP events. Therefore, our detailed analysis is made in terms of investigating the set of SEP events.
The SEP event set is primarily characterized by the event distribution functions.
Therefore, the detailed examination of
the SEP event distribution functions and their properties underlies our analysis.
Rikho NymmikNor Amberd, September 2005
• Compared with our earlier works, we shall study in more detail the dependence of SEP event distribution on solar activity.
• In our analysis, we only used the experimental data, of which we are quite confident that:
• the SEP events are selected as physical, but not technical phenomenon,
• they have been checked on carefully,
• and they do not suffer systematical errors.
Rikho NymmikNor Amberd, September 2005
Therefore,we used and analyzed the experimental data on the ≥30 MeV
SEP events, proton
fluences andpeak fluxes
measured by the CPME instrument on IMP-8 from July 1974 to September 1986 and by the TELESCOPE and DOME instruments on GOES-7,8,10,11 (so called uncorrected data) from October 1986 to September 2005.
Rikho NymmikNor Amberd, September 2005
If we neglect the threshold effect,
then the experimental data will lead to the distribution function form generalizations that are far from reality (Kurt and Nymmik, 1997).
Examples of that kind the function forms are:• the lognormal distribution function (J.Feynman,
et al., 1991), or• the power-law functions with a knee (Smart and
Shea,1997, S.Gabriel and J.Feynman, 1996, et al.).
In our opinion, if we bear in mind the threshold effect, the real distribution is a power law with exponential turnoff in the range of high SEP fluences and peak fluxes.
Rikho NymmikNor Amberd, September 2005
SEP data base
Rikho NymmikNor Amberd, September 2005
The SEP event distribution function of ≥30 MeV proton fluences.
o
exp
)(
=0.32 and Фo=8.9109.
SEP data base
Rikho NymmikNor Amberd, September 2005
Distributionfunction SEP events by E≥30 MeV proton peak fluxes.
o
exp
)(
=0.32 and Фo=9.1103.
The properties of the distribution functions
• The main problem is:• are the distribution functions independent
of solar activity, or they are different at different SA levels?
• We grouped all the events into• 1. - the events that occurred during SA
W≥80, • 2. – during W<80, and • 3. – during W<40 (“quiet" time period) and calculated their distribution functions
separately for each group.
Rikho NymmikNor Amberd, September 2005
Functions for separate groups
Rikho NymmikNor Amberd, September 2005
The data from topto bottom are:• for the total set of events,• for events at W>80,• for events at W<80,• for events at W<40.
Normalized distribution functions
Rikho NymmikNor Amberd, September 2005
∑Wall=27819,
∑W≥80=20189,
∑W<80=7630
∑W≤40=3018.
SEP events and fluences
Rikho NymmikNor Amberd, September 2005
1 SA All W≥80 W<80 W<40
2 Months 279 162 217 140
3 ∑W 27819 20189 7630 3018
4 n(F30≥106) 194 133 61 30
5 n(F30≥106)/ ∑W (7.0±0.5)
10-3
(6.6±0.6)
10-3
(8.0±1.0) 10-3
(9.9±1.8) 10-3
6 n(F30≥4·108) 18 13 5 2
7 n(F30≥4·108)/ ∑W (6.5±1.5)
10-4
(6.5±1.8)
10-4
(6.7±1.5)
10-4
(6.9±4.9)
10-4
8 ∑F30 [prot/cm2] 3.1·1010 2.4·1010 7.1·109 1.6·109
9 ∑F30/ ∑W 1.12·106 1.2·106 9.4·105 5.4·105
About the ascending and declining SA phases
First of all let us define the ascending and the declining SA phases and the SA maximum period.
A SA maximum can be defined to be a one-year period around the adopted months of the Sun’s field sign reversal. Such periods are proposed to be :
• 1979.96÷1980.96 - for Cycle 21, • 1989.46÷1990.46 - for Cycle 22, and
2001.12÷2002.12 - for Cycle 23. The ascending period is defined to last from solar
minimum to the left side of solar maximum, and the declining period from the right side of solar
maximum to solar minimum.
Rikho NymmikNor Amberd, September 2005
Rikho NymmikNor Amberd, September 2005
The distribution functions
for the ascending
and declining phases
The normalized distribution functions
•
Rikho NymmikNor Amberd, September 2005
The normalized functions of the
ascending and declining
phases are close to one
another because the ascending phase
is shorter andcontains a
smaller total sum of sunspots
compared withthe declining
phase
SEP events and fluences
Rikho NymmikNor Amberd, September 2005
1 SA phase Ascending Declining Maximum
2 Duration (years) 9.4 18.6 3
3 ∑W 9394 13080 5020
4 n(F30≥106) 60 90 43
5 n(F30≥106)/ ∑W (6.4±0.6)∙10-3 (6.9±0.6)∙10-3 (8.5±1.3)∙10-3
6 n(F30≥4·108)/(∑W) 4 (4.2±2.1)-4 7 (5.4±2.0)-4 7 (1.4±0.5)-3
7 n(F30≥4·109) 1 0 1
8 ∑F30 [prot/cm2] 9.7∙109 9.1∙109 1.3∙109
9 ∑F30/ ∑W 1.0∙106 7.0∙105 2.5∙106
Quiet Sun and SEP events
Rikho NymmikNor Amberd, September 2005
According to the NASA SEP models JPL-91 and ESP, the high-energy
solar particles that occur during
Quiet Sun period (W<40) can
be neglected in caseof the radiation hazard
calculations!In this Fig. we
see the situation after August 2004.
Quiet Sun and SEP fluences
Rikho NymmikNor Amberd, September 2005
This Fig. shows the SEP cumulative
fluence differentialenergy spectra
for SA minimum of 1994-1997
and for the SA minimum
months after Aug. 2004
together with GCR spectra
W=390W=990
Quiet Sun of 2004-2005 and SEP fluences
Rikho NymmikNor Amberd, September 2005
The Quiet Sun period
began in Aug. 2004Since Sept. 2005,
18 significant SEP events
occurred,including two
largest events.The event of 20.
January 2005 havethe hardest energy
spectrum
W=390
Quiet Sun of 2004- 2005, SEP fluences, and the MSU model
Rikho NymmikNor Amberd, September 2005
Actually, this situation
is not surprising.According to the
MSU SEPfluence model,
such large fluencesshould occur with
probability p=0.1 for
SA ∑W=390 and p=0.01
for E>400 MeV.
Quiet Sun of 1994-1997, SEP fluences, and the MSU model
Rikho NymmikNor Amberd, September 2005
For this period (∑W=990),
the situation with the SEP
and GCRfluences was quite
ordinary.According to the MSU SEP
model,the SEP fluence
occurrence probability
was close to 0.5.
CONCLUSION
Rikho NymmikNor Amberd, September 2005
The extremely large SEP events can occur during any solar activity
phase. The probability for them to occur is the same
in the periods of identical sums of smoothed
mean-monthly sunspot numbers.
CONCLUSIONS
Rikho NymmikNor Amberd, September 2005
The results obtained disprove quite a number
of widespread fallacies, first of all the claimed negligible
SEP fluxes during quiet Sun that underlie the
JPL-91 (Feynman et al. 1993) and ESP (Xapsos et al. 1998,1999)
SEP flux and fluence models (NASA).
CONCLUSIONS
Rikho NymmikNor Amberd, September 2005
From the invariance of the normalized distribution function , it follows
that the extremely large SEP events
can well occur during any solar activity phase,
including even the quite Sun period.