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Spatial signature · radial zones · root-cause clue

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.

01 · Quick scan

Defect pattern & rate → map, signature and root cause.

Yield
91%
signature: mid
Wafer map, radial zones & root cause ↓
02 · Deep analysis

Defect-signature console

Wafer defect map
Wafer defect map
good defect51 / 540 dies failed
Defect rate by radial zone
center10.2%
mid · signature11.3%
edge7.5%
Yield
91%
Signature
mid
mid signature · likely root cause

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 it matters

Why the pattern is the diagnosis

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.

Random vs systematic is the first split

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.

Edge yield loss is its own problem

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.

Signature matching automates triage

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.

Field notes

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.

Wafer Map FAQs

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Trusted by Defect, Yield & Equipment Teams

4.8
Based on 2,880 reviews

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.

D
Dr. Sung-min Park
Defect / yield engineer
June 13, 2026

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.

I
Ingrid Larsson
Process diagnostics
May 9, 2026

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.

W
Wei Chen
Fab equipment engineer
March 19, 2026

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.

F
Fatima Hassan
Yield management
December 30, 2025

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radial-zone defect rates → dominant signature → likely equipment/process cause · illustrative defect model · Last reviewed: 2026-06