feat: add comparable localization algorithms

schemas/experiment.schema.json

@@ -42,7 +42,8 @@
       "type": "object", "additionalProperties": false,
       "required": ["algorithm", "backend", "minimumDistance", "normalization", "dynamicRangeDb"],
       "properties": {
-        "algorithm": { "const": "das" }, "backend": { "enum": ["auto", "cpu", "webgpu"] },
+        "algorithm": { "enum": ["das", "das-phat", "gcc-phat"] },
+        "backend": { "enum": ["auto", "cpu", "webgpu"] },
         "minimumDistance": { "type": "number", "exclusiveMinimum": 0, "maximum": 10 },
         "normalization": { "enum": ["peak", "none"] },
         "dynamicRangeDb": { "type": "number", "minimum": 6, "maximum": 120 },

schemas/result.schema.json

@@ -15,6 +15,7 @@
     "arrayId": { "type": "string", "minLength": 1 },
     "sceneId": { "type": "string", "minLength": 1 },
     "createdAt": { "type": "string", "format": "date-time" },
+    "algorithm": { "enum": ["das", "das-phat", "gcc-phat"] },
     "backend": { "enum": ["cpu", "webgpu"] },
     "inputHash": { "type": "string", "pattern": "^[a-f0-9]{64}$" },
     "signalStats": {
@@ -43,6 +44,7 @@
       "properties": {
         "total": { "type": "number", "minimum": 0 },
         "signalGeneration": { "type": "number", "minimum": 0 },
+        "localization": { "type": "number", "minimum": 0 },
         "beamforming": { "type": "number", "minimum": 0 }
       }
     },
@@ -64,7 +66,7 @@
       "properties": {
         "rows": { "type": "integer", "minimum": 1, "maximum": 512 },
         "columns": { "type": "integer", "minimum": 1, "maximum": 512 },
-        "scale": { "enum": ["power", "normalized", "db"] },
+        "scale": { "enum": ["power", "score", "normalized", "db"] },
         "values": {
           "type": "array", "minItems": 1, "maxItems": 262144,
           "items": { "type": "number" }
@@ -91,7 +93,12 @@
       ],
       "properties": {
         "calibrated": { "const": false },
-        "method": { "const": "connected-half-power-power-weighted-covariance" },
+        "method": {
+          "enum": [
+            "connected-half-power-power-weighted-covariance",
+            "connected-half-maximum-score-weighted-covariance"
+          ]
+        },
         "halfPowerRatio": { "type": "number", "exclusiveMinimum": 0, "maximum": 1 },
         "thresholdValue": { "type": "number", "minimum": 0 },
         "pixelCount": { "type": "integer", "minimum": 0, "maximum": 262144 },