Probabilistic Solar Energetic Particle Models James H. Adams, Jr.1, William F. Dietrich 2 and Michael.A.Xapsos 3 1 NASA Marshall Space Flight Center 2.

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Presentation transcript:

Probabilistic Solar Energetic Particle Models James H. Adams, Jr.1, William F. Dietrich 2 and Michael.A.Xapsos 3 1 NASA Marshall Space Flight Center 2 Consultant, Naval Research Laboratory 3 NASA Goddard Space Flight Cente r

Outline Selecting the SPEs. Determining a reference worst-case environment. Determining the energy spectra for each event. Constructing the cumulative distributions. Finding the extreme-value distributions. Finding the worst-case energy spectra.

Reference worst-case environment A reference worst-case environment in the local interplanetary medium is needed for: – Spacecraft design – Mission planning Objective: Determine an environment that: – Won’t be exceeded at a specified confidence level – For a user-specified mission, e.g. Launch date, mission duration, heliospheric location This talk focuses on the proton environment

The NOAA Event Selection Criterion Onset: The first of 3 consecutive data points with >10 MeV proton fluxes ≥ 10 PFU*. End: The last data point ≥ 10 PFU*. * protons/cm 2.ster.sec.

Identifying events and finding onset and end times. 5-minute average GOES count rates

The smallest events are affected most by the NOAA criterion. GOES-7 Data GOES—8 Data

Episode-integrated proton spectra Proton Data Sources – 7/74 – 10/01: IMP-8 GME 167 episodes – 11/02 – Present: GOES 47 episodes Common spectral binning – Adopted 29 GME channels Redistribute GOES data into GME channels – Fit GOES spectra with a spectral form, e.g. double power law – Distribute flux into GME channels IMP-8 GOES-13

Data sources for other elemental spectra. Helium – 7/ /2001: IMP-8 GME – 11/2001 – present: GOES Heavy Ions – 7/ /2001: IMP-8 CRNE – 11/2001 – present: ACE SIS

Putting all the proton spectra in a standard format The IMP-8 GME format with 29 energy bins was chosen as the standard format. – The spectra for the events before Nov are taken from GME measurements. For events after October 2001, GOES data were used. – The 7-energy-bin GOES spectra were fitted. – The best spectral fits were used to re-bin the data into the GME format with 29 bins

Measured proton spectra and fits We have fit 214 episodes with: – The Ellison-Ramaty Model (90) – The Band Function (116) – The Weibull Function (136) In many cases two or three of these models gave good fits.

Cumulative distributions Cumulative fluence distributions were constructed for each energy bin. – An example is shown below.

Solar Cycle variation is SPE probability The probability of occurrence of solar particle events varies over the 11-year solar cycle as shown below.

The number average number of SPEs, N, expected during the mission is found by summing over the part of the solar cycle covered by the mission. N is used to construct a Poisson distribution, P(n). The cumulative distributions, C(  ), are fit with the following initial distribution function (Xapsos et al., 1998): These distributions are convolved to get extreme value distributions for each energy bin: Extreme Value Model

Worst-Case Proton Spectrum

Summary We have developed a model for estimating the worst-case episode-integrated proton spectrum that is: – Specific to the mission start date and duration – At a user-specified confidence level Limitations: Can’t obtain high confidence level reference environments for long missions We plan to extend this model to: – Alpha particles and Heavy ions We plan to construct similar models for peak fluxes and mission-integrated fluences.

Thank You