Wafer Map Analyzer
Where defects sit on a wafer is the diagnosis — a center cluster, an edge ring, a scratch each point to a different cause. Generate a defect map, break the rate down by radial zone, classify the signature, and get the likely root cause.
Defect pattern & rate → map, signature and root cause.
Defect-signature console
Mid-radius band → annular process signature (spin-coat, anneal radial profile).
The mid zone runs 11% defects — a systematic signature pointing to a specific step or tool, not random particles.
Quantify which categories dominate in the Root Cause Finder; model the yield impact in Defect Density.
Why the pattern is the diagnosis
Where defects sit on the wafer points straight at the cause: a center cluster implicates the chuck or a center-fed process, an edge ring implicates handling or edge effects, a scratch implicates a robot. The spatial signature is the first clue in root-cause.
Uniformly scattered defects are random particles — reduce them with cleanliness. A spatial pattern is systematic — a specific tool or step is misbehaving. Telling them apart decides whether you chase contamination or a process excursion.
Wafers lose disproportionate yield at the edge — edge-bead, non-uniform deposition, and handling all concentrate there. Edge-exclusion accounts for some, but a strong edge ring signals a fixable process issue.
Fabs maintain libraries of known defect signatures mapped to root causes, so a new wafer map can be auto-classified and routed to the right tool or step — turning a picture into an action.
Reading the wafer like a fingerprint
A wafer map is a confession. The failing dies don't scatter at random when something is wrong — they arrange themselves into shapes, and each shape names a culprit. A bright cluster in the center says the chuck or a center-fed process; a ring at the rim says edge-bead, coating non-uniformity, or a handling clamp; a straight line says a robot arm dragged across the surface. Before any deep analysis, the shape itself is the first and often decisive clue.
The most important call comes first: is the pattern random or systematic? Uniformly scattered defects mean particles — contamination to be driven down by cleanliness, with no single tool to blame. A spatial signature means a specific, repeatable cause is at work, and the investigation should hunt for the responsible step or equipment rather than chase dust. Getting this split right sets the entire direction of the root-cause effort, and the radial-zone breakdown here is built to make it obvious.
The edge deserves special mention because it loses yield for reasons all its own — processed differently from the center in many tools, touched by handling, prone to coating and deposition non-uniformity. Some edge loss is expected and absorbed by edge-exclusion, but a strong, clear edge ring beyond that baseline is a fixable problem announcing itself, and distinguishing the two is exactly what the edge-zone rate is for.
Fabs scale this intuition with signature libraries — catalogs of known patterns mapped to causes and corrective actions — so a new map can be auto-classified and routed without manual reading. This tool is a hands-on version of that logic: pick a pattern, see the map, and watch the signature resolve to a likely cause. Then quantify which defect categories dominate in the Root Cause Finder and the yield hit in the Defect Density console.
Trusted by Defect, Yield & Equipment Teams
“The radial-zone breakdown driving a signature-and-root-cause call is exactly the first pass we do on any new defect map. Center → chuck, edge → handling — the tool names what we'd check. Great for training new engineers to read maps before the automated system does.”
“Distinguishing random particles from a systematic signature is the decision that sets the whole investigation, and this makes it visual and immediate. The scratch and edge-ring presets are spot-on teaching cases. Pairs naturally with the root-cause and defect-density tools.”
“Mapping signatures to likely equipment causes is what triage is. The interactive map makes the patterns obvious. Would love real-data import and reticle-position analysis, but as a signature-intuition tool it's excellent and fast.”
“The random-vs-systematic split is the most important call in defect analysis and this nails it visually. Edge yield loss as its own problem is well captured. We use it to explain wafer-map reading to cross-functional teams.”
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radial-zone defect rates → dominant signature → likely equipment/process cause · illustrative defect model · Last reviewed: 2026-06