Use when determine the total ionizing dose (TID) degradation of a component or material from experimental test records under ECSS-E-ST-10-12C §7.6–7.7: extract the dose-response curve from laboratory TID test measurements, interpolate the parameter value at the mission design dose, apply an enhanced low dose-rate sensitivity (ELDRS) correction factor when bipolar semiconductor devices are present to account for greater on-orbit degradation at lower dose rates, apply a lot-variability margin t...
Scanned 9/27/2026
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---
name: e1012-tid-data
description: "Use when determine the total ionizing dose (TID) degradation of a component or material from experimental test records under ECSS-E-ST-10-12C §7.6–7.7: extract the dose-response curve from laboratory TID test measurements, interpolate the parameter value at the mission design dose, apply an enhanced low dose-rate sensitivity (ELDRS) correction factor when bipolar semiconductor devices are present to account for greater on-orbit degradation at lower dose rates, apply a lot-variability margin to bound the worst-case parameter value across production lots, and compare the result against the functional limit to assess TID compliance. Trigger: ecss, e-st-10-system-scope, tid, total-ionizing-dose, tid-testing, degradation-prediction, eldrs, dose-rate, lot-variability."
license: Apache-2.0
compliance: STANDARDS-REF
standards:
- id: ecss
reference-only: true
gated: false
domain: space-systems
pack: space-systems
compatibility: "agentskills.io SKILL.md; any SKILL.md host (Claude Code, Hermes, OpenClaw)"
metadata:
domain: space-systems
subdomain: ecss
tags: [ecss, e-st-10-system-scope, tid, total-ionizing-dose, tid-testing, degradation-prediction, eldrs, dose-rate, lot-variability]
version: 0.1.0
author: Aero Agent Skills
---
# ECSS Radiation Design — TID Degradation from Experimental Data (space-systems/ecss/e1012-tid-data)
Use when the task is to determine TID-induced degradation of a specific
component or material by applying measured dose-response data, as required
by ECSS-E-ST-10-12C §7.6–7.7. This leaf covers: extracting the dose-response
curve from TID test records, correcting for enhanced low dose-rate sensitivity
(ELDRS), bounding lot-to-lot variability, and checking the resulting
worst-case parameter value against the functional limit.
## Domain quick reference
- TID experimental data is expressed as a table of (dose_krad, parameter_value)
pairs from laboratory irradiation runs (typically Co-60 gamma or X-ray). The
parameter tracked depends on the component type: leakage current and
threshold-voltage shift for MOS devices; gain (hFE) and input bias current
for bipolar transistors; dark current for photodetectors; output voltage
stability for linear regulators.
- ELDRS applies to bipolar devices only. High dose-rate lab tests can
underestimate on-orbit degradation because the low flux in space allows more
defect annealing-then-trapping cycles per unit dose. The ELDRS factor (ratio
of low-dose-rate to high-dose-rate degradation, always >= 1.0) corrects the
interpolated lab value before margin application.
- Lot-to-lot variability reflects manufacturing spread across production
batches. A fractional margin (e.g. 0.20 for 20 %) applied in the worst-case
direction bounds the range of parts likely to be procured from a given vendor.
- The functional limit is the parameter threshold at which the component no
longer meets its circuit specification: a maximum for increasing parameters
(leakage current, offset voltage) and a minimum for decreasing parameters
(gain, power-supply rejection). Design margin is the percentage gap between
the worst-case predicted value and the functional limit; negative margin
indicates an exceedance.
## Workflow
1. Collect the TID test dataset for the component or material: a sorted list
of (dose_krad, parameter_value) measurement pairs spanning at least the
mission design dose, including any radiation design margin dose required by
ECSS-E-ST-10-12C §7.3–7.5. If the design dose exceeds the maximum measured
dose, request additional testing before proceeding; do not extrapolate.
2. Interpolate the parameter value at the design dose using the measured
dose-response data. Linear interpolation between bracketing data points is
acceptable for monotonic curves; flag any non-monotonic data for engineering
review before interpolating.
3. For bipolar devices, determine the ELDRS factor (>= 1.0) from low dose-rate
irradiation data or a device characterization report. Apply it to the
interpolated value: multiply for an increasing parameter (degradation
worsens by rising), divide for a decreasing parameter (degradation worsens
by falling). For components with no ELDRS susceptibility, use factor 1.0.
4. Apply the lot-variability margin fraction (in [0, 1)) to the ELDRS-corrected
value in the same worst-case direction: multiply by (1 + fraction) for
increasing parameters, or multiply by (1 - fraction) for decreasing
parameters. This produces the final predicted worst-case parameter value.
5. Compare the predicted value against the functional limit. Record the design
margin in percent. Positive margin is compliant; negative margin is an
exceedance requiring disposition (re-design, added shielding, part
substitution, or a formal engineering waiver).
6. Document the test data source, ELDRS factor and its justification,
lot-margin value and its basis, functional limit and its circuit derivation,
and the compliance determination. This record feeds the TID assessment
summary required by ECSS-E-ST-10-12C §7.8.
## Pitfalls
- Applying a high dose-rate lab measurement to a bipolar device without ELDRS
correction — on-orbit degradation routinely exceeds the lab value, and
omitting the correction understates risk.
- Extrapolating the dose-response curve beyond the maximum measured dose
without a formal justification — degradation is often nonlinear and can
accelerate at high dose; any extrapolation must be explicitly flagged,
bounded, and reviewed.
- Using a lot-variability margin of zero when the component lacks lot-acceptance
data — the absence of data does not imply zero spread; a default margin should
be applied until test evidence is available.
- Treating zero design margin as compliant — a prediction that lands exactly on
the functional limit carries no headroom for model uncertainty or test
scatter; the radiation design margin policy requires positive margin.
- Conflating the ELDRS correction with the radiation design margin (RDM) — ELDRS
is a physics correction applied to the measured parameter value, not a safety
margin; the RDM is applied separately to the design dose before interpolation.
## Behavior contract (gate 3)
The interpolation, ELDRS correction, lot-margin, compliance check, and full
pipeline logic are exercised by the gate 3 contract test:
scripts/test_e1012_tid_data.py against scripts/e1012_tid_data_logic.py
(stdlib unittest, offline). Run:
python3 scripts/test_e1012_tid_data.py
## Compliance
- ECSS standards are freely downloadable (ESA); cite the source and paraphrase
per standards-map.yaml.
- compliance: STANDARDS-REF, gated: false.
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