fix: stabilize localization comparison semantics

packages/acoustics-core/das.js

@@ -601,15 +601,24 @@ export function estimateDasWorkload(options) {
   };
 }
 
-export function finalizeDasBands(rawMaps, workload, experiment, rawScale = "power") {
+export function finalizeDasBands(
+  rawMaps,
+  workload,
+  experiment,
+  rawScale = "power",
+  options = {},
+) {
   if (rawScale !== "power" && rawScale !== "score") {
     throw new RangeError('rawScale must be "power" or "score".');
   }
+  const averageBandBins = options.averageBandBins !== false;
   return experiment.frequencyBands.map((band, bandIndex) => {
     const rawMap = rawMaps[bandIndex];
+    if (averageBandBins) {
       for (let pointIndex = 0; pointIndex < workload.pointCount; pointIndex += 1) {
         rawMap[pointIndex] /= workload.bandBins[bandIndex].length;
       }
+    }
     const rawPeak = findPeak(rawMap);
     const displayMap = Float32Array.from(rawMap);
     let displayScale = rawScale;

packages/acoustics-core/gcc-phat.js

@@ -14,7 +14,10 @@ import {
 
 export const GCC_PHAT_ANALYSIS_PLAN_KIND = "micarrsim.gcc-phat-analysis-plan/1";
 export const DEFAULT_GCC_PHAT_FLOOR_RATIO = 1e-6;
+export const DEFAULT_GCC_PHAT_POINT_BATCH_SIZE = 4096;
+export const DEFAULT_GCC_PHAT_CROSS_SPECTRUM_BATCH_SIZE = 16384;
 export const DEFAULT_MAXIMUM_GCC_PHAT_PLAN_BYTES = 512 * 1024 * 1024;
+export const DEFAULT_MAXIMUM_GCC_PHAT_WORKING_BYTES = 512 * 1024 * 1024;
 
 function createAbortError(signal) {
   if (signal?.reason instanceof Error && signal.reason.name === "AbortError") {
@@ -241,6 +244,60 @@ function requirePhatFloorRatio(value) {
   return ratio;
 }
 
+function requireMaximumWorkingBytes(value) {
+  const maximumWorkingBytes = value ?? DEFAULT_MAXIMUM_GCC_PHAT_WORKING_BYTES;
+  if (!Number.isSafeInteger(maximumWorkingBytes) || maximumWorkingBytes <= 0) {
+    throw new RangeError("maximumWorkingBytes must be a positive safe integer.");
+  }
+  return maximumWorkingBytes;
+}
+
+/**
+ * Reject an oversized no-plan analysis before createDistanceMatrix allocates
+ * its P x M table. This mirrors estimateWithGeometry's retained/spectrum/
+ * calibration/output accounting without requiring geometry to exist first.
+ */
+function preflightUnplannedWorkingSet(options, configuration) {
+  const microphoneCount = configuration.arrayDefinition.microphones.length;
+  const sampleCount = validateChannels(options.channels, microphoneCount);
+  const { bandBins, selectedBins } = createBandGeometry(configuration);
+  const frameCount = getFrameCount(
+    sampleCount,
+    configuration.fftSize,
+    configuration.hopSize,
+  );
+  const bandCount = bandBins.length;
+  const distanceBytes =
+    configuration.pointCount * microphoneCount * Float32Array.BYTES_PER_ELEMENT;
+  const stftWorkspaceBytes =
+    configuration.fftSize * Float64Array.BYTES_PER_ELEMENT * 3;
+  const correlationWorkspaceBytes =
+    configuration.fftSize * Float64Array.BYTES_PER_ELEMENT * 2;
+  const spectrumBytes =
+    selectedBins.length * frameCount * microphoneCount *
+    Float32Array.BYTES_PER_ELEMENT * 2;
+  const calibrationPhaseBytes =
+    selectedBins.length * microphoneCount * Float64Array.BYTES_PER_ELEMENT;
+  const outputBytes =
+    bandCount * configuration.pointCount * Float32Array.BYTES_PER_ELEMENT * 2;
+  const estimatedWorkingBytes =
+    distanceBytes + stftWorkspaceBytes + correlationWorkspaceBytes +
+    spectrumBytes + calibrationPhaseBytes + outputBytes;
+  if (!Number.isSafeInteger(estimatedWorkingBytes)) {
+    throw new RangeError("GCC-PHAT estimated working set exceeds the safe integer range.");
+  }
+  const maximumWorkingBytes = requireMaximumWorkingBytes(options.maximumWorkingBytes);
+  if (estimatedWorkingBytes > maximumWorkingBytes) {
+    throw new RangeError(
+      "GCC-PHAT estimated working set " +
+      (estimatedWorkingBytes / 1024 ** 2).toFixed(1) +
+      " MiB exceeds maximumWorkingBytes " +
+      (maximumWorkingBytes / 1024 ** 2).toFixed(1) + " MiB before geometry allocation.",
+    );
+  }
+  return { estimatedWorkingBytes, maximumWorkingBytes };
+}
+
 function estimateWithGeometry(options, configuration, geometry) {
   const sampleCount = validateChannels(options.channels, geometry.microphoneCount);
   const frameCount = getFrameCount(
@@ -332,6 +389,7 @@ export function estimateGccPhatWorkload(options) {
     assertCompatibleAnalysisPlan(options.analysisPlan, options);
     geometry = options.analysisPlan;
   } else {
+    preflightUnplannedWorkingSet(options, configuration);
     geometry = createGeometry(configuration);
   }
   return estimateWithGeometry(options, configuration, geometry);
@@ -467,7 +525,7 @@ function circularLinearSample(values, lagSamples) {
   return values[firstIndex] * (1 - fraction) + values[secondIndex] * fraction;
 }
 
-function fillBandPairCorrelation({
+async function fillBandPairCorrelation({
   correlationReal,
   correlationImaginary,
   bins,
@@ -476,11 +534,14 @@ function fillBandPairCorrelation({
   referenceIndex,
   phasesByBin,
   phatFloorRatio,
+  signal,
+  crossSpectrumBatchSize,
 }) {
   correlationReal.fill(0);
   correlationImaginary.fill(0);
   const microphoneCount = stft.microphoneCount;
   let maximumMagnitude = 0;
+  let operationsUntilYield = crossSpectrumBatchSize;
 
   for (const bin of bins) {
     const spectrum = stft.spectra.get(bin);
@@ -498,6 +559,12 @@ function fillBandPairCorrelation({
         maximumMagnitude,
         Math.hypot(crossReal, crossImaginary),
       );
+      operationsUntilYield -= 1;
+      if (operationsUntilYield === 0) {
+        await cooperativeYield();
+        throwIfAborted(signal);
+        operationsUntilYield = crossSpectrumBatchSize;
+      }
     }
   }
 
@@ -535,6 +602,12 @@ function fillBandPairCorrelation({
         normalizedReal * correctionReal - normalizedImaginary * correctionImaginary;
       accumulatedImaginary +=
         normalizedReal * correctionImaginary + normalizedImaginary * correctionReal;
+      operationsUntilYield -= 1;
+      if (operationsUntilYield === 0) {
+        await cooperativeYield();
+        throwIfAborted(signal);
+        operationsUntilYield = crossSpectrumBatchSize;
+      }
     }
 
     const averagedReal = accumulatedReal / stft.frameCount;
@@ -552,13 +625,38 @@ function fillBandPairCorrelation({
   fftInPlace(correlationReal, correlationImaginary, true);
 }
 
-function shiftAndSquareScores(rawMaps) {
+async function normalizePositiveScores(
-  for (const rawMap of rawMaps) {
+  rawMaps,
-    let minimum = Infinity;
+  bandBins,
-    for (const value of rawMap) minimum = Math.min(minimum, value);
+  fftSize,
+  pairCount,
+  pointBatchSize,
+  signal,
+) {
+  for (let bandIndex = 0; bandIndex < rawMaps.length; bandIndex += 1) {
+    const rawMap = rawMaps[bandIndex];
+    const coefficientCount = bandBins[bandIndex].reduce(
+      (count, bin) => count + (bin === 0 || bin === fftSize / 2 ? 1 : 2),
+      0,
+    );
+    const normalization = fftSize / (pairCount * coefficientCount);
     for (let pointIndex = 0; pointIndex < rawMap.length; pointIndex += 1) {
-      const shifted = rawMap[pointIndex] - minimum;
+      // PHAT coefficients have magnitude <= 1. After Hermitian completion and
-      rawMap[pointIndex] = shifted * shifted;
+      // inverse-FFT scaling, coefficientCount / fftSize is therefore a strict
+      // per-pair bound. Pair averaging makes the positive score stable across
+      // microphone count, band width, and scan extent without implying a
+      // probability. Negative correlation is evidence against the hypothesis.
+      rawMap[pointIndex] = Math.min(
+        1,
+        Math.max(0, rawMap[pointIndex] * normalization),
+      );
+      if (
+        (pointIndex + 1) % pointBatchSize === 0 &&
+        pointIndex + 1 < rawMap.length
+      ) {
+        await cooperativeYield();
+        throwIfAborted(signal);
+      }
     }
   }
 }
@@ -568,16 +666,16 @@ async function computeGccPhatMapInternal(options, configuration, geometry, plan)
     channels,
     signal,
     onProgress,
-    maximumWorkingBytes = 512 * 1024 * 1024,
+    maximumWorkingBytes = DEFAULT_MAXIMUM_GCC_PHAT_WORKING_BYTES,
     maximumFftButterflies = 1_000_000_000,
-    pointBatchSize = 256,
+    pointBatchSize = DEFAULT_GCC_PHAT_POINT_BATCH_SIZE,
+    crossSpectrumBatchSize = DEFAULT_GCC_PHAT_CROSS_SPECTRUM_BATCH_SIZE,
     stftTransformBatchSize = 128,
   } = options;
   requirePositiveInteger(pointBatchSize, "pointBatchSize");
+  requirePositiveInteger(crossSpectrumBatchSize, "crossSpectrumBatchSize");
   requirePositiveInteger(stftTransformBatchSize, "stftTransformBatchSize");
-  if (!Number.isSafeInteger(maximumWorkingBytes) || maximumWorkingBytes <= 0) {
+  requireMaximumWorkingBytes(maximumWorkingBytes);
-    throw new RangeError("maximumWorkingBytes must be a positive safe integer.");
-  }
   const phatFloorRatio = requirePhatFloorRatio(
     options.phatFloorRatio ??
     options.phatRelativeFloor ??
@@ -666,7 +764,7 @@ async function computeGccPhatMapInternal(options, configuration, geometry, plan)
     const rawMap = rawMaps[bandIndex];
     for (const microphoneIndex of geometry.pairMicrophoneIndexes) {
       throwIfAborted(signal);
-      fillBandPairCorrelation({
+      await fillBandPairCorrelation({
         correlationReal,
         correlationImaginary,
         bins,
@@ -675,6 +773,8 @@ async function computeGccPhatMapInternal(options, configuration, geometry, plan)
         referenceIndex: geometry.reference.index,
         phasesByBin,
         phatFloorRatio,
+        signal,
+        crossSpectrumBatchSize,
       });
       if (plan) {
         plan.statistics.inverseFftTransforms += 1;
@@ -715,12 +815,20 @@ async function computeGccPhatMapInternal(options, configuration, geometry, plan)
   }
 
   throwIfAborted(signal);
-  shiftAndSquareScores(rawMaps);
+  await normalizePositiveScores(
+    rawMaps,
+    geometry.bandBins,
+    configuration.fftSize,
+    geometry.pairCount,
+    pointBatchSize,
+    signal,
+  );
   const bands = finalizeDasBands(
     rawMaps,
     workload,
     configuration.experiment,
     "score",
+    { averageBandBins: false },
   );
   return {
     backend: "cpu",
@@ -753,6 +861,7 @@ export async function computeGccPhatMap(options) {
   const configuration = validateConfiguration(options);
   const plan = options.analysisPlan;
   if (!plan) {
+    preflightUnplannedWorkingSet(options, configuration);
     const geometry = createGeometry(configuration);
     return computeGccPhatMapInternal(options, configuration, geometry, undefined);
   }

packages/acoustics-core/localization.js

@@ -25,9 +25,9 @@ function requestedAlgorithm(options) {
  */
 export function estimateLocalizationWorkload(options) {
   const algorithm = requestedAlgorithm(options);
-  return isDasAlgorithm(algorithm.id)
+  if (isDasAlgorithm(algorithm.id)) return estimateDasWorkload(options);
-    ? estimateDasWorkload(options)
+  if (algorithm.id === "gcc-phat") return estimateGccPhatWorkload(options);
-    : estimateGccPhatWorkload(options);
+  throw new RangeError("No workload estimator is registered for " + algorithm.id + ".");
 }
 
 /**
@@ -35,9 +35,9 @@ export function estimateLocalizationWorkload(options) {
  */
 export function createLocalizationAnalysisPlan(options) {
   const algorithm = requestedAlgorithm(options);
-  return isDasAlgorithm(algorithm.id)
+  if (isDasAlgorithm(algorithm.id)) return createDasAnalysisPlan(options);
-    ? createDasAnalysisPlan(options)
+  if (algorithm.id === "gcc-phat") return createGccPhatAnalysisPlan(options);
-    : createGccPhatAnalysisPlan(options);
+  throw new RangeError("No analysis-plan factory is registered for " + algorithm.id + ".");
 }
 
 /**
@@ -47,7 +47,7 @@ export function createLocalizationAnalysisPlan(options) {
  */
 export async function computeLocalizationMap(options) {
   const algorithm = requestedAlgorithm(options);
-  return isDasAlgorithm(algorithm.id)
+  if (isDasAlgorithm(algorithm.id)) return computeDasMap(options);
-    ? computeDasMap(options)
+  if (algorithm.id === "gcc-phat") return computeGccPhatMap(options);
-    : computeGccPhatMap(options);
+  throw new RangeError("No CPU localization implementation is registered for " + algorithm.id + ".");
 }

packages/acoustics-core/realtime-localizer.js

@@ -3,6 +3,10 @@ import {
   computeLocalizationMap,
   createLocalizationAnalysisPlan,
 } from "./localization.js";
+import {
+  DEFAULT_GCC_PHAT_CROSS_SPECTRUM_BATCH_SIZE,
+  DEFAULT_GCC_PHAT_POINT_BATCH_SIZE,
+} from "./gcc-phat.js";
 import {
   isDasAlgorithm,
   requireLocalizationAlgorithmDefinition,
@@ -355,8 +359,13 @@ export function createLocalizationPlan(config) {
       ? { dasPlan: analysisPlan }
       : { gccPhatPlan: analysisPlan }),
     computeOptions: Object.freeze({
-      pointBatchSize: DEFAULT_REALTIME_POINT_BATCH_SIZE,
+      pointBatchSize: isDasAlgorithm(algorithm.id)
+        ? DEFAULT_REALTIME_POINT_BATCH_SIZE
+        : DEFAULT_GCC_PHAT_POINT_BATCH_SIZE,
       stftTransformBatchSize: DEFAULT_REALTIME_STFT_TRANSFORM_BATCH_SIZE,
+      ...(!isDasAlgorithm(algorithm.id)
+        ? { crossSpectrumBatchSize: DEFAULT_GCC_PHAT_CROSS_SPECTRUM_BATCH_SIZE }
+        : {}),
       ...(phatRelativeFloor !== undefined ? { phatRelativeFloor } : {}),
       ...(phatFloorRatio !== undefined ? { phatFloorRatio } : {}),
       ...(config.computeOptions ?? {}),

packages/contracts/validation.js

@@ -555,6 +555,19 @@ function validateResultRelationships(value, context = {}) {
   }
   const sourceIds = new Set(context.scene?.sources?.map((source) => source.id) ?? []);
   const expectedBandIds = new Set(context.experiment?.frequencyBands?.map((band) => band.id) ?? []);
+  const resultAlgorithm = value.algorithm ?? context.experiment?.beamforming?.algorithm;
+  const expectedRawScale =
+    resultAlgorithm === "das"
+      ? "power"
+      : resultAlgorithm === "das-phat" || resultAlgorithm === "gcc-phat"
+        ? "score"
+        : undefined;
+  const expectedBeamSpreadMethod =
+    expectedRawScale === "power"
+      ? "connected-half-power-power-weighted-covariance"
+      : expectedRawScale === "score"
+        ? "connected-half-maximum-score-weighted-covariance"
+        : undefined;
   const bandIds = [];
   if (Array.isArray(value.bands)) {
     value.bands.forEach((band, bandIndex) => {
@@ -576,12 +589,33 @@ function validateResultRelationships(value, context = {}) {
       });
       if (isRecord(band.rawMap) && !["power", "score"].includes(band.rawMap.scale)) {
         addIssue(issues, `${path}.rawMap.scale`, "rawMap은 power 또는 score scale이어야 합니다.");
+      } else if (
+        isRecord(band.rawMap) &&
+        expectedRawScale &&
+        band.rawMap.scale !== expectedRawScale
+      ) {
+        addIssue(
+          issues,
+          `${path}.rawMap.scale`,
+          `${resultAlgorithm} 결과의 rawMap scale은 ${expectedRawScale}여야 합니다.`,
+        );
       }
       if (Array.isArray(band.peaks)) {
         band.peaks.forEach((peak, peakIndex) => {
           if (peak?.sourceId && sourceIds.size > 0 && !sourceIds.has(peak.sourceId)) {
             addIssue(issues, `${path}.peaks[${peakIndex}].sourceId`, "장면에 없는 source id입니다.");
           }
+          if (
+            expectedBeamSpreadMethod &&
+            isRecord(peak?.beamSpread) &&
+            peak.beamSpread.method !== expectedBeamSpreadMethod
+          ) {
+            addIssue(
+              issues,
+              `${path}.peaks[${peakIndex}].beamSpread.method`,
+              `${expectedRawScale} map과 맞는 beamSpread method여야 합니다.`,
+            );
+          }
         });
       }
     });

packages/webgpu-kernels/compute.js

@@ -90,6 +90,9 @@ export async function computeLocalizationWithBackend(options, dependencies = {})
   if (isDasAlgorithm(algorithm.id)) {
     return computeDasBackend(options, dependencies);
   }
+  if (algorithm.id !== "gcc-phat") {
+    throw new RangeError("No backend dispatcher is registered for " + algorithm.id + ".");
+  }
 
   const requestedBackend = options?.experiment?.beamforming?.backend ?? "auto";
   if (requestedBackend === "webgpu") {

tests/integration/webgpu.test.js

@@ -118,6 +118,38 @@ test("WebGPU DAS가 CPU 수치 기준과 일치하거나 auto CPU fallback한다
   document.documentElement.dataset.webgpuRmsError = error.rms.toExponential(3);
 });
 
+test("WebGPU DAS-PHAT가 CPU score map과 일치하거나 auto CPU fallback한다", async () => {
+  const adapter = await globalThis.navigator?.gpu?.requestAdapter();
+  const fixture = createFixture(adapter ? "webgpu" : "auto");
+  fixture.experiment.beamforming.algorithm = "das-phat";
+  fixture.experiment.frequencyBands = [
+    { id: "phase-1k", minHz: 900, maxHz: 1_100, color: "#65f2bf" },
+  ];
+
+  if (!adapter) {
+    const result = await computeDasWithBackend(fixture);
+    assertEqual(result.backend, "cpu", "DAS-PHAT auto fallback backend");
+    assertEqual(result.algorithm, "das-phat", "DAS-PHAT fallback algorithm");
+    assertEqual(result.bands[0].rawScale, "score", "DAS-PHAT fallback scale");
+    return;
+  }
+
+  const cpuResult = await computeDasMap(fixture);
+  const gpuResult = await computeDasWebGpu(fixture);
+  const cpuBand = cpuResult.bands[0];
+  const gpuBand = gpuResult.bands[0];
+  const error = normalizedMapError(cpuBand.rawMap, gpuBand.rawMap);
+
+  assertEqual(gpuResult.algorithm, "das-phat", "actual WebGPU DAS-PHAT algorithm");
+  assertEqual(gpuBand.rawScale, "score", "actual WebGPU DAS-PHAT scale");
+  assert(!("rawPower" in gpuBand.peak), "DAS-PHAT GPU peak is not mislabeled as power");
+  assert(error.rms <= 0.005, `DAS-PHAT CPU/GPU normalized RMS error=${error.rms}`);
+  assert(
+    error.maximumAbsoluteError <= 0.02,
+    `DAS-PHAT CPU/GPU normalized max error=${error.maximumAbsoluteError}`,
+  );
+});
+
 test("192채널 · 50×50 WebGPU map이 CPU baseline 허용 오차를 만족한다", async () => {
   const adapter = await globalThis.navigator?.gpu?.requestAdapter();
   if (!adapter) {

tests/unit/contracts.test.js

@@ -410,7 +410,28 @@ test("복수 음원 대응 result map 계약과 shape 관계를 검증한다", a
       id: "tone-1k",
       color: "#65f2bf",
       rawMap: { rows: 50, columns: 50, scale: "power", values: Array(2500).fill(0) },
-      peaks: [{ sourceId: "source-1", position: [0.08, 0.04, 2], value: 1, localizationErrorM: 0 }],
+      peaks: [{
+        sourceId: "source-1",
+        position: [0.08, 0.04, 2],
+        value: 1,
+        localizationErrorM: 0,
+        beamSpread: {
+          calibrated: false,
+          method: "connected-half-power-power-weighted-covariance",
+          halfPowerRatio: 0.5,
+          thresholdValue: 0.5,
+          pixelCount: 1,
+          centroid: [0.08, 0.04, 2],
+          covarianceM2: { xx: 0, xy: 0, yy: 0 },
+          ellipse: {
+            axisScale: "rms",
+            angleReference: "counterclockwise-from-positive-x",
+            majorRmsRadiusM: 0,
+            minorRmsRadiusM: 0,
+            angleDeg: 0,
+          },
+        },
+      }],
       metrics: { energyInsideTruthRatio: 1, precision: 1, recall: 1 },
     }],
   };
@@ -419,17 +440,39 @@ test("복수 음원 대응 result map 계약과 shape 관계를 검증한다", a
   experiment.beamforming.algorithm = "das-phat";
   result.algorithm = "das-phat";
   result.bands[0].rawMap.scale = "score";
+  result.bands[0].peaks[0].beamSpread.method =
+    "connected-half-maximum-score-weighted-covariance";
   assertEqual(
     (await validateResult(result, { experiment, scene })).length,
     0,
     "phase-weighted score result issues",
   );
 
-  result.algorithm = "das";
+  result.bands[0].rawMap.scale = "power";
   let issues = await validateResult(result, { experiment, scene });
+  assert(
+    issues.some(({ path }) => path.endsWith("rawMap.scale")),
+    "algorithm and raw map scale must agree",
+  );
+  result.bands[0].rawMap.scale = "score";
+  result.bands[0].peaks[0].beamSpread.method =
+    "connected-half-power-power-weighted-covariance";
+  issues = await validateResult(result, { experiment, scene });
+  assert(
+    issues.some(({ path }) => path.endsWith("beamSpread.method")),
+    "score map and beam spread method must agree",
+  );
+  result.bands[0].peaks[0].beamSpread.method =
+    "connected-half-maximum-score-weighted-covariance";
+
+  result.algorithm = "das";
+  issues = await validateResult(result, { experiment, scene });
   assert(issues.some(({ path }) => path === "$.algorithm"), "result algorithm must match its experiment");
 
   experiment.beamforming.algorithm = "das";
+  result.bands[0].rawMap.scale = "power";
+  result.bands[0].peaks[0].beamSpread.method =
+    "connected-half-power-power-weighted-covariance";
   result.bands[0].rawMap.values.pop();
   result.bands[0].rawMap.scale = "normalized";
   result.bands[0].peaks[0].sourceId = "missing-source";

tests/unit/gcc-phat.test.js

@@ -174,6 +174,18 @@ test("GCC-PHAT workload reports reference-pair scan reduction and rejects aliase
     "maximum geometric lag is exposed and unaliased",
   );
 
+  let preflightError;
+  try {
+    estimateGccPhatWorkload({ ...fixture, maximumWorkingBytes: 1 });
+  } catch (error) {
+    preflightError = error;
+  }
+  assert(
+    preflightError instanceof RangeError &&
+      preflightError.message.includes("before geometry allocation"),
+    "unplanned workload is rejected before allocating its distance matrix",
+  );
+
   let memoryError;
   try {
     createGccPhatAnalysisPlan({ ...fixture, maximumPlanBytes: 1 });
@@ -241,8 +253,8 @@ test("GCC-PHAT corrected lag sign finds a deterministic broadband source and emi
   assertNear(result.maximumLagSamples, result.workload.maximumLagSamples, 0, "lag metadata");
   assertEqual(band.rawScale, "score", "raw map scale");
   assert(
-    band.rawMap.every((value) => Number.isFinite(value) && value >= 0),
+    band.rawMap.every((value) => Number.isFinite(value) && value >= 0 && value <= 1),
-    "shifted and squared score map is finite and nonnegative",
+    "pair- and bandwidth-normalized score map is finite and bounded",
   );
   assert(
     distance3(peakPosition, fixture.target) <= 0.15,
@@ -263,6 +275,48 @@ test("GCC-PHAT corrected lag sign finds a deterministic broadband source and emi
     "X_m * conj(X_ref) correlation uses the physical arrival-lag sign",
   );
   assertNear(Math.max(...band.displayMap), 1, 1e-6, "normalized score display");
+
+  const expandedFixture = createBroadbandFixture();
+  expandedFixture.experiment.scan = {
+    ...expandedFixture.experiment.scan,
+    xMin: -0.8,
+    xMax: 0.8,
+    yMin: -0.8,
+    yMax: 0.8,
+    columns: 17,
+    rows: 17,
+  };
+  const expanded = await computeGccPhatMap({
+    ...expandedFixture,
+    phatFloorRatio: 1e-5,
+    pointBatchSize: 1024,
+    stftTransformBatchSize: 1024,
+  });
+  const expandedTargetIndex = scanIndexFor(
+    expandedFixture.experiment.scan,
+    expandedFixture.target[0],
+    expandedFixture.target[1],
+  );
+  assertNear(
+    expanded.bands[0].rawMap[expandedTargetIndex],
+    band.rawMap[targetIndex],
+    1e-6,
+    "raw score at a fixed hypothesis is independent of scan extent",
+  );
+});
+
+test("GCC-PHAT compute rejects an oversized unplanned working set before geometry", async () => {
+  const fixture = createBroadbandFixture();
+  let error;
+  try {
+    await computeGccPhatMap({ ...fixture, maximumWorkingBytes: 1 });
+  } catch (candidate) {
+    error = candidate;
+  }
+  assert(
+    error instanceof RangeError && error.message.includes("before geometry allocation"),
+    "compute preflight error",
+  );
 });
 
 test("GCC-PHAT analysis plan reuses geometry and FFT workspaces and releases its busy lock", async () => {

tests/unit/localization.test.js

@@ -3,6 +3,10 @@ import {
   createLocalizationAnalysisPlan,
   estimateLocalizationWorkload,
 } from "/packages/acoustics-core/localization.js";
+import {
+  DEFAULT_GCC_PHAT_CROSS_SPECTRUM_BATCH_SIZE,
+  DEFAULT_GCC_PHAT_POINT_BATCH_SIZE,
+} from "/packages/acoustics-core/gcc-phat.js";
 import {
   DEFAULT_LOCALIZATION_ALGORITHM,
   LOCALIZATION_ALGORITHM_IDS,
@@ -167,10 +171,22 @@ test("portable and streaming API accept an algorithm choice without Scene synthe
     computeOptions: { pointBatchSize: 1024, stftTransformBatchSize: 1024 },
   };
   const plan = createLocalizationPlan(config);
+  const defaultBatchPlan = createLocalizationPlan({ ...config, computeOptions: undefined });
   const localized = await localizeMultichannel({ plan, channels: fixture.channels });
   assertEqual(plan.algorithm, "gcc-phat", "portable plan algorithm");
   assertEqual(plan.computeOptions.phatFloorRatio, 1e-5, "portable PHAT floor forwarding");
   assertEqual(plan.analysisPlan, plan.gccPhatPlan, "portable GCC plan alias");
+  assertEqual(plan.computeOptions.pointBatchSize, 1024, "explicit portable point batch override");
+  assertEqual(
+    defaultBatchPlan.computeOptions.pointBatchSize,
+    DEFAULT_GCC_PHAT_POINT_BATCH_SIZE,
+    "GCC lookup-oriented default batch",
+  );
+  assertEqual(
+    defaultBatchPlan.computeOptions.crossSpectrumBatchSize,
+    DEFAULT_GCC_PHAT_CROSS_SPECTRUM_BATCH_SIZE,
+    "GCC cross-spectrum cancellation batch",
+  );
   assertEqual(localized.algorithm, "gcc-phat", "portable result algorithm");
   assertEqual(localized.phatFloorRatio, 1e-5, "portable PHAT floor reaches GCC core");
   assertEqual(localized.bands[0].rawScale, "score", "portable score map");