SEE Cross-Section Fitting Tool
Weibull curve fitting, proton estimation, and rate prediction for Single Event Effects cross-section data
| # | Effective LET (MeV-cm2/mg) | Events | Fluence (p/cm2) | σ (cm2/dev) | Lower 95% CI | Upper 95% CI |
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Enter effective LET, events, and fluence. Cross-section and 95% Poisson confidence intervals are computed automatically.
Paste from Excel: Select a cell and paste (Ctrl+V) tab-delimited rows of [LET, Events, Fluence]. Multi-row paste supported.
All data points weighted equally.
Single-Point Estimation (Ladbury Method)
When only a saturated cross-section is known, estimate a conservative LET threshold and bounding Weibull fit from an empirical LET0 versus σs trend: the Extended Historical SEL Priors (EHSP 2026-09; global errors-in-variables trend or a class trend, see the methodology) or the CERN-database trend of Ladbury et al. (IEEE TNS 2023, 2025).
Step function assumes W≈0 (maximum rate). Database-informed uses the empirical β-distribution of rate ratios from the CERN w–s database to produce a realistic but still conservative Weibull shape (Ladbury et al. IEEE TNS 2025).
Estimates proton/neutron cross-sections from heavy-ion Weibull parameters using the Edmonds Upper Bound model (Edmonds & Irom, IEEE TNS Vol. 55, No. 1, Feb 2008). σmodel(E) = (β(E)/a) × ∫ (1/L2) × σHI(L) dL, where β(E)/a coefficients are tabulated at 50, 100, and 200 MeV (protons) and 14 MeV (neutrons).