Sample-Return Biocontainment Barrier Simulator (2D)

Barrier Layers

Live Readouts

Overall breach probability (product)

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Equivalent log-reduction (LRV)

0.0

Observed breach rate (particle stream)

0 / 0 processed

Monte Carlo Verification

Theoretical P(breach)

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Empirical P(breach)

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Match (within 3σ of binomial CI)

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How it works

A sample-return biocontainment canister stops biological contamination with several independent barrier layers in series — nested like the rings drawn on the right, from the sample core outward to the open lab. This is a real reliability-engineering series system: a particle only escapes if it independently gets past every single layer, so:

P(breach) = p1 × p2 × p3 × … × pN

where p_i = the individual failure (leak-through) probability of layer i,
set directly with that layer's slider.

LRV_equivalent = −log10( P(breach) )

Add / remove layers — every layer you add multiplies another (<1) factor into the product, so containment improves multiplicatively, not additively — two so-so barriers in series easily beat one excellent one.
Particle stream — particles are launched continuously from the core and rolled against each layer's probability in turn, exactly like the layers were rolled in the 3D duct version of this simulator; the "observed breach rate" is a live Monte-Carlo estimate that drifts toward the theoretical product as more particles are processed.
Monte Carlo panel — runs a batch of thousands of independent simulated missions instantly (not animated) and compares the empirical breach frequency against the theoretical product formula, the same way real planetary-protection requirements (COSPAR targets ≤10⁻⁶ probability of non-nominal release) are verified statistically.

Unfiltered particle (core) Breached to open lab Absorbed at a barrier layer