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EX04 — Large LEO Global Coverage

Tags: showcase scale · global coverage · elevation-mask trade Input: large-leo-global-coverage.yaml · Runtime tier: showcase-scale · Interface: CLI

Purpose

Demonstrate full-day global coverage analysis at first-shell scale and quantify how terminal elevation mask changes the usable footprint of the same 1,584- satellite architecture.

Setup

This batch runs three otherwise matched 24-hour cases at 10°, 25°, and 40° minimum elevation. Each case uses a 72-plane by 22-satellite Walker shell, two-minute cadence, and a 5° global grid.

astraeus batch run \
  astraeus-resources/examples/user/large-leo-global-coverage.yaml \
  --workers 1

Plan for a long run and substantial disk and memory use; the measured resource envelope is maintained on the showcase page.

RunSpec Focus

The batch file names the three elevation-mask RunSpecs and requests the same summary fields from every child run. That keeps the comparison explicit and auditable.

batch:
  cases:
  - label: 10-degree elevation mask
    runspec: cases/large-leo-global-coverage-elevation-10.yaml
  - label: 25-degree elevation mask
    runspec: cases/large-leo-global-coverage-elevation-25.yaml
  - label: 40-degree elevation mask
    runspec: cases/large-leo-global-coverage-elevation-40.yaml

Results

The reference run completed all three cases. Covered-surface fraction fell from 93.74% at 10° to 86.60% at 25° and 84.36% at 40°. The measured runtime, memory, output size, host context, and current preflight comparison are kept together on the large-scale showcase page.

Elevation mask Covered surface Change from 10°
10° 93.74%
25° 86.60% −7.14 points
40° 84.36% −9.38 points

Artifacts To Inspect

Artifact What it shows
batch_plan.json The three immutable child cases and their input references
batch_summary.json / .csv One comparable KPI row per elevation mask
batch_results.json Case status, timing, failure fields, and child-run locations
cases/.../coverage/coverage_summary_by_area.parquet Global and regional coverage within each child run

Interpretation

Increasing the elevation mask improves local viewing geometry but removes low-elevation opportunities, so the usable global footprint decreases. The largest change occurs from 10° to 25°; the remaining comparison should be read alongside regional distributions and gap metrics, not as one global number.