diff --git a/RFCP-Phase-2.5.1-Performance-AppClose.md b/RFCP-Phase-2.5.1-Performance-AppClose.md
new file mode 100644
index 0000000..1c9ddac
--- /dev/null
+++ b/RFCP-Phase-2.5.1-Performance-AppClose.md
@@ -0,0 +1,577 @@
+# RFCP Phase 2.5.1: Performance Tuning + App Close Fix
+
+**Date:** February 1, 2025  
+**Type:** Performance + Bug Fix  
+**Priority:** HIGH  
+**Depends on:** Phase 2.5.0
+
+---
+
+## 🎯 Summary
+
+Phase 2.5.0 vectorization працює, але bottleneck залишився:
+- `line_intersects_polygons_batch()` має внутрішній loop по polygons
+- 351-458 walls перевіряються для кожної точки
+- Результат: 329ms/point (майже без змін)
+
+Також: App close ДОСІ не працює — хрестик не закриває backend.
+
+---
+
+## 📊 Current Performance Analysis
+
+```
+[DOMINANT_PATH_VEC] Point #1: buildings=50, walls=351
+[DOMINANT_PATH_VEC] Point #2: buildings=50, walls=439
+[DOMINANT_PATH_VEC] Point #3: buildings=50, walls=458
+
+Result: 329ms/point — NOT improved!
+```
+
+**Root cause:** LOS check loop inside vectorized function:
+```python
+# geometry_vectorized.py line ~85
+for i, length in enumerate(polygon_lengths):  # ← THIS LOOP
+    # Check each polygon...
+```
+
+---
+
+## 🔧 Fix 2.5.1a: Limit Walls for Reflection Check
+
+**File:** `backend/app/services/geometry_vectorized.py`
+
+**In `find_best_reflection_path_vectorized()`:**
+
+```python
+def find_best_reflection_path_vectorized(
+    tx: np.ndarray,
+    rx: np.ndarray,
+    building_walls_start: np.ndarray,
+    building_walls_end: np.ndarray,
+    wall_to_building: np.ndarray,
+    obstacle_polygons_x: np.ndarray,
+    obstacle_polygons_y: np.ndarray,
+    obstacle_lengths: np.ndarray,
+    max_candidates: int = 50,
+    max_walls: int = 100,        # ← ADD THIS
+    max_los_checks: int = 10     # ← ADD THIS
+) -> Tuple[Optional[np.ndarray], float, float]:
+    """
+    Find best single-reflection path using vectorized operations.
+    
+    OPTIMIZATION: Limit walls and LOS checks for speed.
+    - max_walls: Only consider closest N walls for reflection
+    - max_los_checks: Only verify LOS for top N shortest paths
+    """
+    num_walls = len(building_walls_start)
+    
+    if num_walls == 0:
+        return None, np.inf, 0.0
+    
+    # === OPTIMIZATION 1: Limit walls by distance to path midpoint ===
+    if num_walls > max_walls:
+        # Calculate midpoint of TX-RX path
+        midpoint = (tx + rx) / 2
+        
+        # Calculate wall midpoints
+        wall_midpoints = (building_walls_start + building_walls_end) / 2
+        
+        # Distance from each wall to path midpoint
+        wall_distances = np.linalg.norm(wall_midpoints - midpoint, axis=1)
+        
+        # Take closest walls
+        closest_indices = np.argpartition(wall_distances, max_walls)[:max_walls]
+        
+        building_walls_start = building_walls_start[closest_indices]
+        building_walls_end = building_walls_end[closest_indices]
+        wall_to_building = wall_to_building[closest_indices]
+        
+        # Log reduction (first 3 points only)
+        # print(f"[WALLS] Reduced {num_walls} → {max_walls} walls")
+    
+    # Step 1: Calculate all reflection points at once
+    refl_points, valid = calculate_reflection_points_batch(
+        tx, rx, building_walls_start, building_walls_end
+    )
+    
+    if not np.any(valid):
+        return None, np.inf, 0.0
+    
+    # Step 2: Calculate path lengths for valid reflections
+    valid_indices = np.where(valid)[0]
+    valid_refl = refl_points[valid]
+    
+    tx_to_refl = np.linalg.norm(valid_refl - tx, axis=1)
+    refl_to_rx = np.linalg.norm(rx - valid_refl, axis=1)
+    path_lengths = tx_to_refl + refl_to_rx
+    
+    # === OPTIMIZATION 2: Sort by path length, check LOS only for top N ===
+    # Sort indices by path length (shortest first)
+    sorted_order = np.argsort(path_lengths)
+    
+    # Limit to max_los_checks
+    check_count = min(len(sorted_order), max_los_checks)
+    
+    # Step 3: Check LOS only for top candidates
+    best_idx = -1
+    best_length = np.inf
+    
+    for i in range(check_count):
+        idx = sorted_order[i]
+        refl_pt = valid_refl[idx]
+        length = path_lengths[idx]
+        
+        # Skip if already longer than best found
+        if length >= best_length:
+            continue
+        
+        # Check TX → reflection LOS
+        intersects1, _ = line_intersects_polygons_batch(
+            tx, refl_pt, obstacle_polygons_x, obstacle_polygons_y, obstacle_lengths
+        )
+        
+        if np.any(intersects1):
+            continue
+        
+        # Check reflection → RX LOS
+        intersects2, _ = line_intersects_polygons_batch(
+            refl_pt, rx, obstacle_polygons_x, obstacle_polygons_y, obstacle_lengths
+        )
+        
+        if np.any(intersects2):
+            continue
+        
+        # Valid path found!
+        best_idx = idx
+        best_length = length
+        break  # ← EARLY EXIT: First valid shortest path is best
+    
+    if best_idx < 0:
+        return None, np.inf, 0.0
+    
+    best_point = valid_refl[best_idx]
+    
+    # Reflection loss calculation
+    direct_dist = np.linalg.norm(rx - tx)
+    path_ratio = best_length / max(direct_dist, 1.0)
+    reflection_loss = 3.0 + 7.0 * min(1.0, (path_ratio - 1.0) * 2)
+    
+    return best_point, best_length, reflection_loss
+```
+
+**Key optimizations:**
+1. **max_walls=100**: Only consider 100 closest walls (was 351-458)
+2. **max_los_checks=10**: Only verify LOS for 10 shortest paths (was 50)
+3. **Early exit**: Stop when first valid path found (sorted by length)
+
+**Expected speedup:** 5-10x for reflection calculation
+
+---
+
+## 🔧 Fix 2.5.1b: Simplify LOS Check for Obstacles
+
+**File:** `backend/app/services/geometry_vectorized.py`
+
+**Optimize `line_intersects_polygons_batch()` — limit polygons:**
+
+```python
+def line_intersects_polygons_batch(
+    p1: np.ndarray, p2: np.ndarray,
+    polygons_x: np.ndarray, polygons_y: np.ndarray,
+    polygon_lengths: np.ndarray,
+    max_polygons: int = 30  # ← ADD LIMIT
+) -> Tuple[np.ndarray, np.ndarray]:
+    """
+    Check if line p1→p2 intersects multiple polygons.
+    
+    OPTIMIZATION: Only check nearest polygons to the line.
+    """
+    num_polygons = len(polygon_lengths)
+    
+    if num_polygons == 0:
+        return np.array([], dtype=bool), np.array([])
+    
+    # === OPTIMIZATION: Filter to nearby polygons first ===
+    if num_polygons > max_polygons:
+        # Quick filter: bounding box check
+        line_min_x = min(p1[0], p2[0]) - 50  # 50m buffer
+        line_max_x = max(p1[0], p2[0]) + 50
+        line_min_y = min(p1[1], p2[1]) - 50
+        line_max_y = max(p1[1], p2[1]) + 50
+        
+        # Calculate polygon centroids quickly
+        # This is approximate but fast
+        idx = 0
+        nearby_mask = np.zeros(num_polygons, dtype=bool)
+        
+        for i, length in enumerate(polygon_lengths):
+            if length < 3:
+                idx += length
+                continue
+            
+            # Polygon centroid (approximate: first vertex)
+            px = polygons_x[idx]
+            py = polygons_y[idx]
+            
+            # Check if centroid is near the line bounding box
+            if (line_min_x <= px <= line_max_x and 
+                line_min_y <= py <= line_max_y):
+                nearby_mask[i] = True
+            
+            idx += length
+        
+        # If still too many, take first max_polygons that are nearby
+        nearby_indices = np.where(nearby_mask)[0]
+        if len(nearby_indices) > max_polygons:
+            nearby_indices = nearby_indices[:max_polygons]
+            nearby_mask = np.zeros(num_polygons, dtype=bool)
+            nearby_mask[nearby_indices] = True
+    else:
+        nearby_mask = np.ones(num_polygons, dtype=bool)
+    
+    # Now check only nearby polygons
+    intersects = np.zeros(num_polygons, dtype=bool)
+    min_t = np.ones(num_polygons) * np.inf
+    
+    idx = 0
+    for i, length in enumerate(polygon_lengths):
+        if length < 3 or not nearby_mask[i]:
+            idx += length
+            continue
+        
+        # Get polygon vertices
+        px = polygons_x[idx:idx + length]
+        py = polygons_y[idx:idx + length]
+        
+        # Create edge segments
+        starts = np.stack([px, py], axis=1)
+        ends = np.stack([np.roll(px, -1), np.roll(py, -1)], axis=1)
+        
+        # Check intersections
+        edge_intersects, t_vals = line_segments_intersect_batch(p1, p2, starts, ends)
+        
+        if np.any(edge_intersects):
+            intersects[i] = True
+            min_t[i] = np.min(t_vals[edge_intersects])
+        
+        idx += length
+    
+    line_length = np.linalg.norm(p2 - p1)
+    min_distances = min_t * line_length
+    
+    return intersects, min_distances
+```
+
+---
+
+## 🔧 Fix 2.5.1c: Update Constants in dominant_path_service.py
+
+**File:** `backend/app/services/dominant_path_service.py`
+
+```python
+# At top of file, update constants:
+MAX_BUILDINGS_FOR_LINE = 30        # was 50
+MAX_BUILDINGS_FOR_REFLECTION = 20  # was 30
+MAX_DISTANCE_FROM_PATH = 200       # was 300m
+
+# In find_dominant_paths_vectorized(), add parameters:
+result = find_best_reflection_path_vectorized(
+    tx_local, rx_local,
+    walls_start, walls_end, wall_to_bldg,
+    poly_x, poly_y, poly_lengths,
+    max_candidates=30,    # was 50
+    max_walls=100,        # NEW: limit walls
+    max_los_checks=10     # NEW: limit LOS checks
+)
+```
+
+---
+
+## 🔴 Fix 2.5.1d: App Close — AGGRESSIVE FIX
+
+**The X button STILL doesn't close the app!**
+
+**File:** `desktop/main.js`
+
+**Problem analysis:**
+- `killBackend()` is called but processes survive
+- `killAllBackendProcesses()` uses `execSync` but maybe fails silently
+- Electron might quit before kill completes
+
+**AGGRESSIVE FIX — Multiple kill strategies:**
+
+```javascript
+const { execSync, spawn } = require('child_process');
+const path = require('path');
+
+let backendProcess = null;
+let isQuitting = false;
+
+// Track all spawned PIDs
+let knownPids = new Set();
+
+function killAllRfcpProcesses() {
+  console.log('[KILL] === Starting aggressive kill ===');
+  
+  if (process.platform === 'win32') {
+    // Strategy 1: Kill by image name (most reliable)
+    try {
+      console.log('[KILL] Strategy 1: taskkill /F /IM');
+      execSync('taskkill /F /IM rfcp-server.exe', { 
+        stdio: 'pipe',
+        timeout: 5000,
+        windowsHide: true
+      });
+      console.log('[KILL] Strategy 1: SUCCESS');
+    } catch (e) {
+      console.log('[KILL] Strategy 1: No processes or already killed');
+    }
+    
+    // Strategy 2: Kill by tree if we have PID
+    if (backendProcess && backendProcess.pid) {
+      try {
+        console.log(`[KILL] Strategy 2: taskkill /F /T /PID ${backendProcess.pid}`);
+        execSync(`taskkill /F /T /PID ${backendProcess.pid}`, {
+          stdio: 'pipe',
+          timeout: 5000,
+          windowsHide: true
+        });
+        console.log('[KILL] Strategy 2: SUCCESS');
+      } catch (e) {
+        console.log('[KILL] Strategy 2: PID not found');
+      }
+    }
+    
+    // Strategy 3: PowerShell kill (backup)
+    try {
+      console.log('[KILL] Strategy 3: PowerShell Stop-Process');
+      execSync('powershell -Command "Get-Process rfcp-server -ErrorAction SilentlyContinue | Stop-Process -Force"', {
+        stdio: 'pipe',
+        timeout: 5000,
+        windowsHide: true
+      });
+      console.log('[KILL] Strategy 3: SUCCESS');
+    } catch (e) {
+      console.log('[KILL] Strategy 3: PowerShell failed or no processes');
+    }
+    
+    // Strategy 4: WMIC kill (legacy but works)
+    try {
+      console.log('[KILL] Strategy 4: WMIC process delete');
+      execSync('wmic process where "name=\'rfcp-server.exe\'" delete', {
+        stdio: 'pipe',
+        timeout: 5000,
+        windowsHide: true
+      });
+      console.log('[KILL] Strategy 4: SUCCESS');
+    } catch (e) {
+      console.log('[KILL] Strategy 4: WMIC failed');
+    }
+    
+  } else {
+    // Unix
+    try {
+      execSync('pkill -9 -f rfcp-server', { stdio: 'pipe', timeout: 5000 });
+    } catch (e) {
+      // Ignore
+    }
+  }
+  
+  console.log('[KILL] === Kill sequence complete ===');
+}
+
+// Call backend shutdown endpoint before killing
+async function gracefulShutdown() {
+  console.log('[SHUTDOWN] Starting graceful shutdown...');
+  
+  // Step 1: Try graceful API shutdown
+  try {
+    const controller = new AbortController();
+    const timeout = setTimeout(() => controller.abort(), 2000);
+    
+    await fetch('http://127.0.0.1:8888/api/system/shutdown', {
+      method: 'POST',
+      signal: controller.signal
+    });
+    
+    clearTimeout(timeout);
+    console.log('[SHUTDOWN] Backend acknowledged shutdown');
+    
+    // Wait for backend to cleanup
+    await new Promise(r => setTimeout(r, 1000));
+    
+  } catch (e) {
+    console.log('[SHUTDOWN] Backend did not respond:', e.message);
+  }
+  
+  // Step 2: Force kill everything
+  killAllRfcpProcesses();
+  
+  // Step 3: Wait and verify
+  await new Promise(r => setTimeout(r, 500));
+  
+  console.log('[SHUTDOWN] Shutdown complete');
+}
+
+// === EVENT HANDLERS ===
+
+// When window X is clicked
+mainWindow.on('close', async (event) => {
+  console.log('[EVENT] Window close clicked');
+  
+  if (!isQuitting) {
+    event.preventDefault();  // Prevent immediate close
+    isQuitting = true;
+    
+    await gracefulShutdown();
+    
+    // Now actually quit
+    app.quit();
+  }
+});
+
+// When all windows closed
+app.on('window-all-closed', () => {
+  console.log('[EVENT] All windows closed');
+  killAllRfcpProcesses();  // Extra safety
+  
+  if (process.platform !== 'darwin') {
+    app.quit();
+  }
+});
+
+// Before quit
+app.on('before-quit', async (event) => {
+  console.log('[EVENT] Before quit');
+  
+  if (!isQuitting) {
+    event.preventDefault();
+    isQuitting = true;
+    await gracefulShutdown();
+    app.quit();
+  }
+});
+
+// Will quit (sync only!)
+app.on('will-quit', () => {
+  console.log('[EVENT] Will quit - final sync kill');
+  killAllRfcpProcesses();
+});
+
+// Process exit
+process.on('exit', () => {
+  console.log('[EVENT] Process exit');
+  killAllRfcpProcesses();
+});
+
+// Handle Ctrl+C in dev mode
+process.on('SIGINT', () => {
+  console.log('[SIGNAL] SIGINT');
+  killAllRfcpProcesses();
+  process.exit(0);
+});
+
+process.on('SIGTERM', () => {
+  console.log('[SIGNAL] SIGTERM');
+  killAllRfcpProcesses();
+  process.exit(0);
+});
+```
+
+**Key changes:**
+1. **4 kill strategies** on Windows (taskkill, PID tree, PowerShell, WMIC)
+2. **`isQuitting` flag** prevents multiple shutdown attempts
+3. **`event.preventDefault()`** on close to allow async shutdown
+4. **Graceful shutdown first** via API, then force kill
+5. **Every event handler** calls killAllRfcpProcesses()
+
+---
+
+## 🔧 Fix 2.5.1e: Update Test Scripts for Win11
+
+**File:** All .bat scripts
+
+**Replace `wmic` with PowerShell (wmic deprecated in Win11):**
+
+```batch
+:: OLD (wmic - deprecated):
+for /f "tokens=2 delims==" %%a in ('wmic OS get FreePhysicalMemory /value') do ...
+
+:: NEW (PowerShell):
+for /f %%a in ('powershell -Command "(Get-CimInstance Win32_OperatingSystem).FreePhysicalMemory"') do set /a FREE_RAM=%%a/1024
+
+:: OLD (CPU):
+for /f "tokens=2 delims==" %%a in ('wmic cpu get LoadPercentage /value') do ...
+
+:: NEW (PowerShell):
+for /f %%a in ('powershell -Command "(Get-CimInstance Win32_Processor).LoadPercentage"') do set CPU=%%a
+```
+
+---
+
+## 📁 Files to Modify
+
+| File | Changes |
+|------|---------|
+| `backend/app/services/geometry_vectorized.py` | Add max_walls, max_los_checks limits; optimize LOS check |
+| `backend/app/services/dominant_path_service.py` | Update constants, pass new parameters |
+| `desktop/main.js` | Aggressive multi-strategy kill; async shutdown with prevention |
+| `installer/*.bat` | Replace wmic with PowerShell commands |
+
+---
+
+## 🧪 Testing
+
+### Test 1: Performance
+```bash
+# Run Detailed preset
+# Expected: < 90 seconds (was 292s)
+# Expected: < 100ms/point (was 329ms)
+```
+
+### Test 2: App Close
+```bash
+# Start RFCP.exe
+# Click X
+# Check Task Manager — should be 0 rfcp-server.exe
+# Check console for [KILL] logs showing all strategies
+```
+
+### Test 3: Accuracy Spot Check
+```bash
+# Run Standard preset, note coverage shape
+# Run Detailed preset, compare coverage shape
+# Should be similar (within visual inspection)
+```
+
+---
+
+## ✅ Success Criteria
+
+- [ ] Detailed preset completes in < 90 seconds
+- [ ] ms/point < 100ms (was 329ms)
+- [ ] App close works on first X click
+- [ ] No rfcp-server.exe in Task Manager after close
+- [ ] Test scripts work on Windows 11 (no wmic errors)
+
+---
+
+## 📈 Expected Performance
+
+| Metric | Before 2.5.1 | After 2.5.1 |
+|--------|--------------|-------------|
+| Walls checked | 351-458 | 100 max |
+| LOS checks | 50 | 10 max |
+| ms/point | 329ms | ~50-80ms |
+| Detailed time | 292s | ~60-90s |
+| App close | ❌ broken | ✅ works |
+
+---
+
+## 🔜 After 2.5.1
+
+If performance is acceptable:
+- Phase 2.6: Fun facts loading screen
+- Phase 2.6: Export to GeoJSON/KML
+- Phase 2.7: Multi-site interference visualization
diff --git a/backend/app/services/coverage_service.py b/backend/app/services/coverage_service.py
index d7d6ac3..753bfe3 100644
--- a/backend/app/services/coverage_service.py
+++ b/backend/app/services/coverage_service.py
@@ -44,7 +44,7 @@ from app.services.terrain_service import terrain_service, TerrainService
 from app.services.los_service import los_service
 from app.services.buildings_service import buildings_service, Building
 from app.services.materials_service import materials_service
-from app.services.dominant_path_service import dominant_path_service
+from app.services.dominant_path_service import dominant_path_service, find_dominant_paths_vectorized
 from app.services.street_canyon_service import street_canyon_service, Street
 from app.services.reflection_service import reflection_service
 from app.services.spatial_index import get_spatial_index, SpatialIndex
@@ -648,22 +648,28 @@ class CoverageService:
                         break
         timing["buildings"] += time.time() - t0
 
-        # Dominant path (sync) — uses spatial index for O(1) building lookups
+        # Dominant path (vectorized NumPy) — replaces loop-based sync version
         if settings.use_dominant_path and (spatial_idx or nearby_buildings):
             t0 = time.time()
-            paths = dominant_path_service.find_dominant_paths_sync(
+            dominant = find_dominant_paths_vectorized(
                 site.lat, site.lon, site.height,
                 lat, lon, 1.5,
                 site.frequency, nearby_buildings,
-                spatial_idx=spatial_idx
+                spatial_idx=spatial_idx,
             )
-            if paths:
-                best_path = paths[0]
-                if best_path.is_valid and best_path.path_loss < (path_loss + terrain_loss + building_loss):
-                    path_loss = best_path.path_loss
-                    terrain_loss = 0
-                    building_loss = 0
-                    has_los = best_path.path_type == "direct" and not best_path.materials_crossed
+            if dominant['path_type'] == 'direct':
+                # Direct LOS confirmed by vectorized check
+                has_los = True
+                building_loss = 0.0
+            elif dominant['path_type'] == 'reflection':
+                # Reflection path bypasses buildings — reduce building loss
+                building_loss = max(0.0, building_loss - (10.0 - dominant['total_loss']))
+                has_los = False
+            elif dominant['path_type'] == 'diffraction':
+                # Diffraction: use estimated loss if worse than current
+                if dominant['total_loss'] > building_loss:
+                    building_loss = dominant['total_loss']
+                has_los = False
             timing["dominant_path"] += time.time() - t0
 
         # Street canyon (sync)
diff --git a/backend/app/services/dominant_path_service.py b/backend/app/services/dominant_path_service.py
index 8915545..98e1cf0 100644
--- a/backend/app/services/dominant_path_service.py
+++ b/backend/app/services/dominant_path_service.py
@@ -1,10 +1,15 @@
 import time
 import numpy as np
-from typing import List, Tuple, Optional, TYPE_CHECKING
+from typing import List, Tuple, Optional, Dict, Any, TYPE_CHECKING
 from dataclasses import dataclass
 from app.services.terrain_service import terrain_service
 from app.services.buildings_service import buildings_service, Building
 from app.services.materials_service import materials_service, BuildingMaterial
+from app.services.geometry_vectorized import (
+    points_to_local_coords,
+    line_intersects_polygons_batch,
+    find_best_reflection_path_vectorized,
+)
 
 if TYPE_CHECKING:
     from app.services.spatial_index import SpatialIndex
@@ -21,9 +26,9 @@ class RayPath:
     is_valid: bool  # Does this path exist?
 
 
-MAX_BUILDINGS_FOR_LINE = 50
-MAX_BUILDINGS_FOR_REFLECTION = 30
-MAX_DISTANCE_FROM_PATH = 300  # meters
+MAX_BUILDINGS_FOR_LINE = 30
+MAX_BUILDINGS_FOR_REFLECTION = 20
+MAX_DISTANCE_FROM_PATH = 200  # meters
 
 
 def _filter_buildings_by_distance(buildings, tx_point, rx_point, max_count=100, max_distance=500):
@@ -60,6 +65,204 @@ def _filter_buildings_by_distance(buildings, tx_point, rx_point, max_count=100,
     return filtered[:max_count]
 
 
+# ── Vectorized dominant path (NumPy) ──
+
+_vec_log_count = 0
+
+
+def _buildings_to_arrays(buildings: List[Building], ref_lat: float, ref_lon: float):
+    """Convert Building objects to numpy arrays for vectorized geometry.
+
+    Returns:
+        walls_start: (W, 2) wall start points in local XY meters
+        walls_end: (W, 2) wall end points in local XY meters
+        wall_to_building: (W,) mapping wall index -> building index
+        poly_x: flattened polygon X coords
+        poly_y: flattened polygon Y coords
+        poly_lengths: (num_polygons,) vertices per polygon
+    """
+    all_walls_start = []
+    all_walls_end = []
+    wall_to_building = []
+
+    all_poly_x = []
+    all_poly_y = []
+    poly_lengths = []
+
+    for i, b in enumerate(buildings):
+        geom = b.geometry  # [[lon, lat], ...]
+        if not geom or len(geom) < 3:
+            poly_lengths.append(0)
+            continue
+
+        poly_lats = np.array([p[1] for p in geom])
+        poly_lons = np.array([p[0] for p in geom])
+        px, py = points_to_local_coords(ref_lat, ref_lon, poly_lats, poly_lons)
+
+        all_poly_x.extend(px)
+        all_poly_y.extend(py)
+        poly_lengths.append(len(geom))
+
+        # Extract wall segments
+        for j in range(len(geom) - 1):
+            all_walls_start.append([px[j], py[j]])
+            all_walls_end.append([px[j + 1], py[j + 1]])
+            wall_to_building.append(i)
+
+    return (
+        np.array(all_walls_start) if all_walls_start else np.zeros((0, 2)),
+        np.array(all_walls_end) if all_walls_end else np.zeros((0, 2)),
+        np.array(wall_to_building, dtype=int) if wall_to_building else np.zeros(0, dtype=int),
+        np.array(all_poly_x) if all_poly_x else np.zeros(0),
+        np.array(all_poly_y) if all_poly_y else np.zeros(0),
+        np.array(poly_lengths, dtype=int),
+    )
+
+
+def find_dominant_paths_vectorized(
+    tx_lat: float, tx_lon: float, tx_height: float,
+    rx_lat: float, rx_lon: float, rx_height: float,
+    frequency_mhz: float,
+    buildings: List[Building],
+    spatial_idx: 'Optional[SpatialIndex]' = None,
+) -> Dict[str, Any]:
+    """Vectorized dominant path finding using NumPy batch operations.
+
+    Replaces the loop-based find_dominant_paths_sync() with:
+    1. Batch building-to-array conversion
+    2. Vectorized LOS polygon intersection check
+    3. Vectorized reflection point calculation
+    4. Simplified diffraction estimate
+
+    Returns dict with:
+        has_los, path_type, total_loss, path_length, reflection_point
+    """
+    global _vec_log_count
+
+    # Get nearby buildings via spatial index (same filtering as sync version)
+    if spatial_idx:
+        line_buildings = spatial_idx.query_line(tx_lat, tx_lon, rx_lat, rx_lon)
+    else:
+        line_buildings = buildings
+
+    line_buildings = _filter_buildings_by_distance(
+        line_buildings,
+        (tx_lat, tx_lon), (rx_lat, rx_lon),
+        max_count=MAX_BUILDINGS_FOR_LINE,
+        max_distance=MAX_DISTANCE_FROM_PATH,
+    )
+
+    # Reference point for local coordinate system
+    ref_lat = (tx_lat + rx_lat) / 2
+    ref_lon = (tx_lon + rx_lon) / 2
+
+    # Convert TX/RX to local meters
+    tx_xy = points_to_local_coords(ref_lat, ref_lon, np.array([tx_lat]), np.array([tx_lon]))
+    rx_xy = points_to_local_coords(ref_lat, ref_lon, np.array([rx_lat]), np.array([rx_lon]))
+    tx = np.array([tx_xy[0][0], tx_xy[1][0]])
+    rx = np.array([rx_xy[0][0], rx_xy[1][0]])
+
+    direct_dist = np.linalg.norm(rx - tx)
+
+    # Convert buildings to arrays
+    walls_start, walls_end, wall_to_bldg, poly_x, poly_y, poly_lengths = (
+        _buildings_to_arrays(line_buildings, ref_lat, ref_lon)
+    )
+
+    # Diagnostic log for first few points
+    _vec_log_count += 1
+    if _vec_log_count <= 3:
+        print(
+            f"[DOMINANT_PATH_VEC] Point #{_vec_log_count}: "
+            f"buildings={len(line_buildings)}, walls={len(walls_start)}, "
+            f"dist={direct_dist:.0f}m",
+            flush=True,
+        )
+
+    # No buildings → direct LOS
+    if len(poly_lengths) == 0 or np.all(poly_lengths < 3):
+        return {
+            'has_los': True,
+            'path_type': 'direct',
+            'total_loss': 0.0,
+            'path_length': direct_dist,
+            'reflection_point': None,
+        }
+
+    # Step 1: Vectorized direct LOS check
+    intersects, _ = line_intersects_polygons_batch(tx, rx, poly_x, poly_y, poly_lengths)
+
+    if not np.any(intersects):
+        return {
+            'has_los': True,
+            'path_type': 'direct',
+            'total_loss': 0.0,
+            'path_length': direct_dist,
+            'reflection_point': None,
+        }
+
+    # Step 2: Vectorized reflection path finding
+    # Use all line buildings for reflection walls
+    if spatial_idx:
+        mid_lat = (tx_lat + rx_lat) / 2
+        mid_lon = (tx_lon + rx_lon) / 2
+        refl_buildings = spatial_idx.query_point(mid_lat, mid_lon, buffer_cells=3)
+        refl_buildings = _filter_buildings_by_distance(
+            refl_buildings,
+            (tx_lat, tx_lon), (rx_lat, rx_lon),
+            max_count=MAX_BUILDINGS_FOR_REFLECTION,
+            max_distance=MAX_DISTANCE_FROM_PATH,
+        )
+        # Merge line + reflection buildings (deduplicate by id)
+        seen_ids = {b.id for b in line_buildings}
+        merged = list(line_buildings)
+        for b in refl_buildings:
+            if b.id not in seen_ids:
+                merged.append(b)
+                seen_ids.add(b.id)
+        r_walls_start, r_walls_end, r_wall_to_bldg, r_poly_x, r_poly_y, r_poly_lengths = (
+            _buildings_to_arrays(merged, ref_lat, ref_lon)
+        )
+    else:
+        r_walls_start, r_walls_end, r_wall_to_bldg = walls_start, walls_end, wall_to_bldg
+        r_poly_x, r_poly_y, r_poly_lengths = poly_x, poly_y, poly_lengths
+
+    refl_point, refl_length, refl_loss = find_best_reflection_path_vectorized(
+        tx, rx,
+        r_walls_start, r_walls_end, r_wall_to_bldg,
+        r_poly_x, r_poly_y, r_poly_lengths,
+        max_candidates=30,
+        max_walls=100,
+        max_los_checks=10,
+    )
+
+    if refl_point is not None:
+        # Convert reflection point back to lat/lon
+        cos_lat = np.cos(np.radians(ref_lat))
+        refl_lat = ref_lat + refl_point[1] / 110540.0
+        refl_lon = ref_lon + refl_point[0] / (111320.0 * cos_lat)
+
+        return {
+            'has_los': False,
+            'path_type': 'reflection',
+            'total_loss': refl_loss,
+            'path_length': refl_length,
+            'reflection_point': (refl_lat, refl_lon),
+        }
+
+    # Step 3: Diffraction fallback
+    num_blocking = int(np.sum(intersects))
+    diffraction_loss = 10.0 + 5.0 * min(num_blocking, 5)
+
+    return {
+        'has_los': False,
+        'path_type': 'diffraction',
+        'total_loss': diffraction_loss,
+        'path_length': direct_dist,
+        'reflection_point': None,
+    }
+
+
 class DominantPathService:
     """
     Find dominant propagation paths (2-3 strongest)
diff --git a/backend/app/services/geometry_vectorized.py b/backend/app/services/geometry_vectorized.py
new file mode 100644
index 0000000..b6676c0
--- /dev/null
+++ b/backend/app/services/geometry_vectorized.py
@@ -0,0 +1,309 @@
+"""
+Vectorized geometry operations using NumPy.
+
+All functions operate on arrays, not single values.
+Provides 10-50x speedup over Python loops for batch geometry checks.
+"""
+
+import numpy as np
+from typing import Tuple, Optional
+
+EARTH_RADIUS = 6371000  # meters
+
+
+def haversine_batch(
+    lat1: float, lon1: float,
+    lats2: np.ndarray, lons2: np.ndarray,
+) -> np.ndarray:
+    """Distance from one point to many points (meters)."""
+    lat1_rad = np.radians(lat1)
+    lon1_rad = np.radians(lon1)
+    lats2_rad = np.radians(lats2)
+    lons2_rad = np.radians(lons2)
+
+    dlat = lats2_rad - lat1_rad
+    dlon = lons2_rad - lon1_rad
+
+    a = np.sin(dlat / 2) ** 2 + np.cos(lat1_rad) * np.cos(lats2_rad) * np.sin(dlon / 2) ** 2
+    c = 2 * np.arcsin(np.sqrt(a))
+
+    return EARTH_RADIUS * c
+
+
+def points_to_local_coords(
+    ref_lat: float, ref_lon: float,
+    lats: np.ndarray, lons: np.ndarray,
+) -> Tuple[np.ndarray, np.ndarray]:
+    """Convert lat/lon to local X/Y meters (equirectangular projection)."""
+    cos_lat = np.cos(np.radians(ref_lat))
+    x = (lons - ref_lon) * 111320.0 * cos_lat
+    y = (lats - ref_lat) * 110540.0
+    return x, y
+
+
+def line_segments_intersect_batch(
+    p1: np.ndarray, p2: np.ndarray,
+    segments_start: np.ndarray, segments_end: np.ndarray,
+) -> Tuple[np.ndarray, np.ndarray]:
+    """Check if line p1->p2 intersects with N segments.
+
+    Args:
+        p1, p2: shape (2,)
+        segments_start, segments_end: shape (N, 2)
+
+    Returns:
+        intersects: bool array (N,)
+        t_values: parameter along p1->p2 (N,)
+    """
+    d = p2 - p1
+    seg_d = segments_end - segments_start
+
+    cross = d[0] * seg_d[:, 1] - d[1] * seg_d[:, 0]
+
+    parallel_mask = np.abs(cross) < 1e-10
+    cross_safe = np.where(parallel_mask, 1.0, cross)
+
+    dp = p1 - segments_start
+
+    t = (dp[:, 0] * seg_d[:, 1] - dp[:, 1] * seg_d[:, 0]) / cross_safe
+    u = (dp[:, 0] * d[1] - dp[:, 1] * d[0]) / cross_safe
+
+    intersects = ~parallel_mask & (t >= 0) & (t <= 1) & (u >= 0) & (u <= 1)
+
+    return intersects, t
+
+
+def line_intersects_polygons_batch(
+    p1: np.ndarray, p2: np.ndarray,
+    polygons_x: np.ndarray, polygons_y: np.ndarray,
+    polygon_lengths: np.ndarray,
+    max_polygons: int = 30,
+) -> Tuple[np.ndarray, np.ndarray]:
+    """Check if line p1->p2 intersects multiple polygons.
+
+    Args:
+        p1, p2: shape (2,)
+        polygons_x, polygons_y: flattened vertex arrays
+        polygon_lengths: vertices per polygon (num_polygons,)
+        max_polygons: only check nearest N polygons (bbox pre-filter)
+
+    Returns:
+        intersects: bool (num_polygons,)
+        min_distances: distance to first hit (num_polygons,)
+    """
+    num_polygons = len(polygon_lengths)
+
+    if num_polygons == 0:
+        return np.array([], dtype=bool), np.array([])
+
+    intersects = np.zeros(num_polygons, dtype=bool)
+    min_t = np.full(num_polygons, np.inf)
+
+    # Pre-filter: only check polygons whose first vertex is near the line bbox
+    if num_polygons > max_polygons:
+        buf = 50.0  # 50m buffer
+        line_min_x = min(p1[0], p2[0]) - buf
+        line_max_x = max(p1[0], p2[0]) + buf
+        line_min_y = min(p1[1], p2[1]) - buf
+        line_max_y = max(p1[1], p2[1]) + buf
+
+        nearby_mask = np.zeros(num_polygons, dtype=bool)
+        vi = 0
+        for i, length in enumerate(polygon_lengths):
+            if length >= 3:
+                cx = polygons_x[vi]
+                cy = polygons_y[vi]
+                if line_min_x <= cx <= line_max_x and line_min_y <= cy <= line_max_y:
+                    nearby_mask[i] = True
+            vi += length
+
+        # Cap at max_polygons
+        nearby_indices = np.where(nearby_mask)[0]
+        if len(nearby_indices) > max_polygons:
+            nearby_mask = np.zeros(num_polygons, dtype=bool)
+            nearby_mask[nearby_indices[:max_polygons]] = True
+    else:
+        nearby_mask = np.ones(num_polygons, dtype=bool)
+
+    idx = 0
+    for i, length in enumerate(polygon_lengths):
+        if length < 3 or not nearby_mask[i]:
+            idx += length
+            continue
+
+        px = polygons_x[idx:idx + length]
+        py = polygons_y[idx:idx + length]
+
+        starts = np.stack([px, py], axis=1)
+        ends = np.stack([np.roll(px, -1), np.roll(py, -1)], axis=1)
+
+        edge_intersects, t_vals = line_segments_intersect_batch(p1, p2, starts, ends)
+
+        if np.any(edge_intersects):
+            intersects[i] = True
+            min_t[i] = np.min(t_vals[edge_intersects])
+
+        idx += length
+
+    line_length = np.linalg.norm(p2 - p1)
+    min_distances = min_t * line_length
+
+    return intersects, min_distances
+
+
+def calculate_reflection_points_batch(
+    tx: np.ndarray, rx: np.ndarray,
+    wall_starts: np.ndarray, wall_ends: np.ndarray,
+) -> Tuple[np.ndarray, np.ndarray]:
+    """Calculate reflection points on N walls via mirror-image method.
+
+    Args:
+        tx, rx: shape (2,)
+        wall_starts, wall_ends: shape (N, 2)
+
+    Returns:
+        reflection_points: (N, 2)
+        valid: bool (N,)
+    """
+    wall_vec = wall_ends - wall_starts
+    wall_length = np.linalg.norm(wall_vec, axis=1, keepdims=True)
+    wall_unit = wall_vec / np.maximum(wall_length, 1e-10)
+
+    normals = np.stack([-wall_unit[:, 1], wall_unit[:, 0]], axis=1)
+
+    tx_to_wall = tx - wall_starts
+    tx_dist_to_wall = np.sum(tx_to_wall * normals, axis=1, keepdims=True)
+    tx_mirror = tx - 2 * tx_dist_to_wall * normals
+
+    rx_to_mirror = tx_mirror - rx
+
+    cross_denom = (rx_to_mirror[:, 0] * wall_vec[:, 1] -
+                   rx_to_mirror[:, 1] * wall_vec[:, 0])
+
+    valid_denom = np.abs(cross_denom) > 1e-10
+    cross_denom_safe = np.where(valid_denom, cross_denom, 1.0)
+
+    rx_to_start = wall_starts - rx
+    t = (rx_to_start[:, 0] * rx_to_mirror[:, 1] -
+         rx_to_start[:, 1] * rx_to_mirror[:, 0]) / cross_denom_safe
+
+    reflection_points = wall_starts + t[:, np.newaxis] * wall_vec
+
+    valid = valid_denom & (t >= 0) & (t <= 1) & (tx_dist_to_wall[:, 0] > 0)
+
+    return reflection_points, valid
+
+
+def find_best_reflection_path_vectorized(
+    tx: np.ndarray, rx: np.ndarray,
+    building_walls_start: np.ndarray,
+    building_walls_end: np.ndarray,
+    wall_to_building: np.ndarray,
+    obstacle_polygons_x: np.ndarray,
+    obstacle_polygons_y: np.ndarray,
+    obstacle_lengths: np.ndarray,
+    max_candidates: int = 50,
+    max_walls: int = 100,
+    max_los_checks: int = 10,
+) -> Tuple[Optional[np.ndarray], float, float]:
+    """Find best single-reflection path using vectorized ops.
+
+    Args:
+        max_walls: Only consider closest N walls for reflection candidates.
+        max_los_checks: Only verify LOS for top N shortest reflection paths.
+
+    Returns:
+        best_reflection_point: (2,) or None
+        best_path_length: meters
+        best_reflection_loss: dB
+    """
+    num_walls = len(building_walls_start)
+    if num_walls == 0:
+        return None, np.inf, 0.0
+
+    # Limit walls by distance to path midpoint
+    if num_walls > max_walls:
+        midpoint = (tx + rx) / 2
+        wall_midpoints = (building_walls_start + building_walls_end) / 2
+        wall_distances = np.linalg.norm(wall_midpoints - midpoint, axis=1)
+        closest = np.argpartition(wall_distances, max_walls)[:max_walls]
+        building_walls_start = building_walls_start[closest]
+        building_walls_end = building_walls_end[closest]
+        wall_to_building = wall_to_building[closest]
+
+    refl_points, valid = calculate_reflection_points_batch(
+        tx, rx, building_walls_start, building_walls_end,
+    )
+
+    if not np.any(valid):
+        return None, np.inf, 0.0
+
+    valid_indices = np.where(valid)[0]
+    valid_refl = refl_points[valid]
+
+    tx_to_refl = np.linalg.norm(valid_refl - tx, axis=1)
+    refl_to_rx = np.linalg.norm(rx - valid_refl, axis=1)
+    path_lengths = tx_to_refl + refl_to_rx
+
+    # Direct distance filter: skip if reflection path > 2x direct
+    direct_dist = np.linalg.norm(rx - tx)
+    within_range = path_lengths <= direct_dist * 2.0
+    if not np.any(within_range):
+        return None, np.inf, 0.0
+
+    valid_indices = valid_indices[within_range]
+    valid_refl = valid_refl[within_range]
+    path_lengths = path_lengths[within_range]
+
+    # Keep top candidates by shortest path
+    if len(valid_indices) > max_candidates:
+        top_idx = np.argpartition(path_lengths, max_candidates)[:max_candidates]
+        valid_indices = valid_indices[top_idx]
+        valid_refl = valid_refl[top_idx]
+        path_lengths = path_lengths[top_idx]
+
+    # Sort by path length for early exit
+    sort_order = np.argsort(path_lengths)
+    valid_refl = valid_refl[sort_order]
+    path_lengths = path_lengths[sort_order]
+
+    # Check LOS only for top N shortest candidates
+    check_count = min(len(valid_refl), max_los_checks)
+    best_idx = -1
+    best_length = np.inf
+
+    for i in range(check_count):
+        length = path_lengths[i]
+        if length >= best_length:
+            continue
+
+        refl_pt = valid_refl[i]
+
+        # TX -> reflection LOS
+        intersects1, _ = line_intersects_polygons_batch(
+            tx, refl_pt, obstacle_polygons_x, obstacle_polygons_y, obstacle_lengths,
+        )
+        if np.any(intersects1):
+            continue
+
+        # Reflection -> RX LOS
+        intersects2, _ = line_intersects_polygons_batch(
+            refl_pt, rx, obstacle_polygons_x, obstacle_polygons_y, obstacle_lengths,
+        )
+        if np.any(intersects2):
+            continue
+
+        best_idx = i
+        best_length = length
+        break  # sorted by length, first valid is best
+
+    if best_idx < 0:
+        return None, np.inf, 0.0
+
+    best_point = valid_refl[best_idx]
+
+    # Reflection loss: 3-10 dB depending on path ratio
+    path_ratio = best_length / max(direct_dist, 1.0)
+    reflection_loss = 3.0 + 7.0 * min(1.0, (path_ratio - 1.0) * 2)
+
+    return best_point, best_length, reflection_loss
diff --git a/desktop/main.js b/desktop/main.js
index 068c3e8..cd47c2a 100644
--- a/desktop/main.js
+++ b/desktop/main.js
@@ -269,17 +269,23 @@ function createMainWindow() {
   });
 
   // Save window state on close and trigger shutdown
-  mainWindow.on('close', () => {
+  mainWindow.on('close', (event) => {
     log('[CLOSE] Window close event fired, isQuitting=' + isQuitting);
     try {
       const bounds = mainWindow.getBounds();
       store.set('windowState', bounds);
     } catch (_e) {}
-    isQuitting = true;
-    // Graceful shutdown is async but we also do sync kill as safety net
-    gracefulShutdown().catch(() => {});
-    killBackend();
-    killAllBackendProcesses();
+
+    if (!isQuitting) {
+      event.preventDefault();
+      isQuitting = true;
+      gracefulShutdown().then(() => {
+        app.quit();
+      }).catch(() => {
+        killAllRfcpProcesses();
+        app.quit();
+      });
+    }
   });
 
   // Load frontend
@@ -364,41 +370,86 @@ function killBackend() {
 }
 
 /**
- * Nuclear option: kill ALL rfcp-server processes by name.
- * This catches orphaned workers that PID-based kill misses.
+ * Aggressive kill: multiple strategies to ensure ALL rfcp-server processes die.
+ * Uses 4 strategies on Windows for maximum reliability.
  */
-function killAllBackendProcesses() {
-  log('[KILL] killAllBackendProcesses() — killing by process name...');
+function killAllRfcpProcesses() {
+  log('[KILL] === Starting aggressive kill ===');
 
   if (process.platform === 'win32') {
+    // Strategy 1: Kill by image name (most reliable)
     try {
-      execSync('taskkill /F /IM rfcp-server.exe /T', {
-        stdio: 'ignore',
-        timeout: 5000
+      log('[KILL] Strategy 1: taskkill /F /IM');
+      execSync('taskkill /F /IM rfcp-server.exe', {
+        stdio: 'pipe',
+        timeout: 5000,
+        windowsHide: true
       });
-      log('[KILL] taskkill /IM rfcp-server.exe completed');
+      log('[KILL] Strategy 1: SUCCESS');
     } catch (_e) {
-      // Error means no processes found — OK
-      log('[KILL] No rfcp-server.exe processes found (or already killed)');
+      log('[KILL] Strategy 1: No processes or already killed');
+    }
+
+    // Strategy 2: Kill by PID tree if we have PID
+    if (backendPid) {
+      try {
+        log(`[KILL] Strategy 2: taskkill /F /T /PID ${backendPid}`);
+        execSync(`taskkill /F /T /PID ${backendPid}`, {
+          stdio: 'pipe',
+          timeout: 5000,
+          windowsHide: true
+        });
+        log('[KILL] Strategy 2: SUCCESS');
+      } catch (_e) {
+        log('[KILL] Strategy 2: PID not found');
+      }
+    }
+
+    // Strategy 3: PowerShell kill (backup)
+    try {
+      log('[KILL] Strategy 3: PowerShell Stop-Process');
+      execSync('powershell -Command "Get-Process rfcp-server -ErrorAction SilentlyContinue | Stop-Process -Force"', {
+        stdio: 'pipe',
+        timeout: 5000,
+        windowsHide: true
+      });
+      log('[KILL] Strategy 3: SUCCESS');
+    } catch (_e) {
+      log('[KILL] Strategy 3: PowerShell failed or no processes');
+    }
+
+    // Strategy 4: PowerShell CimInstance terminate (modern replacement for wmic)
+    try {
+      log('[KILL] Strategy 4: PowerShell CimInstance Terminate');
+      execSync('powershell -NoProfile -Command "Get-CimInstance Win32_Process -Filter \\"name=\'rfcp-server.exe\'\\" | Invoke-CimMethod -MethodName Terminate"', {
+        stdio: 'pipe',
+        timeout: 5000,
+        windowsHide: true
+      });
+      log('[KILL] Strategy 4: SUCCESS');
+    } catch (_e) {
+      log('[KILL] Strategy 4: No processes or failed');
     }
   } else {
+    // Unix: pkill
     try {
-      execSync('pkill -9 -f rfcp-server', {
-        stdio: 'ignore',
-        timeout: 5000
-      });
+      execSync('pkill -9 -f rfcp-server', { stdio: 'pipe', timeout: 5000 });
       log('[KILL] pkill rfcp-server completed');
     } catch (_e) {
       log('[KILL] No rfcp-server processes found');
     }
   }
+
+  backendPid = null;
+  backendProcess = null;
+  log('[KILL] === Kill sequence complete ===');
 }
 
 /**
- * Graceful shutdown: ask backend to clean up, then force kill everything.
+ * Graceful shutdown: API call first, then multi-strategy force kill.
  */
 async function gracefulShutdown() {
-  log('[SHUTDOWN] Requesting graceful shutdown...');
+  log('[SHUTDOWN] Starting graceful shutdown...');
 
   // Step 1: Ask backend to clean up workers and exit
   try {
@@ -410,18 +461,18 @@ async function gracefulShutdown() {
     });
     clearTimeout(timeout);
     log('[SHUTDOWN] Backend acknowledged shutdown');
+    // Wait for backend to cleanup
+    await new Promise(r => setTimeout(r, 1000));
   } catch (_e) {
     log('[SHUTDOWN] Backend did not respond — force killing');
   }
 
-  // Step 2: Wait briefly for graceful exit
+  // Step 2: Force kill everything
+  killAllRfcpProcesses();
+
+  // Step 3: Wait and verify
   await new Promise(r => setTimeout(r, 500));
-
-  // Step 3: PID-based kill (catches the main process)
-  killBackend();
-
-  // Step 4: Name-based kill (catches orphaned workers)
-  killAllBackendProcesses();
+  log('[SHUTDOWN] Shutdown complete');
 }
 
 // ── App lifecycle ──────────────────────────────────────────────────
@@ -456,8 +507,7 @@ app.whenReady().then(async () => {
 app.on('window-all-closed', () => {
   log('[CLOSE] window-all-closed fired');
   isQuitting = true;
-  killBackend();
-  killAllBackendProcesses();
+  killAllRfcpProcesses();
 
   if (process.platform !== 'darwin') {
     app.quit();
@@ -470,17 +520,23 @@ app.on('activate', () => {
   }
 });
 
-app.on('before-quit', () => {
-  log('[CLOSE] before-quit fired');
-  isQuitting = true;
-  killBackend();
-  killAllBackendProcesses();
+app.on('before-quit', (event) => {
+  log('[CLOSE] before-quit fired, isQuitting=' + isQuitting);
+  if (!isQuitting) {
+    event.preventDefault();
+    isQuitting = true;
+    gracefulShutdown().then(() => {
+      app.quit();
+    }).catch(() => {
+      killAllRfcpProcesses();
+      app.quit();
+    });
+  }
 });
 
 app.on('will-quit', () => {
   log('[CLOSE] will-quit fired');
-  killBackend();
-  killAllBackendProcesses();
+  killAllRfcpProcesses();
 
   if (backendLogStream) {
     try { backendLogStream.end(); } catch (_e) {}
@@ -508,21 +564,19 @@ process.on('exit', () => {
   }
 
   // Name-based kill — catches orphaned workers
-  killAllBackendProcesses();
+  killAllRfcpProcesses();
 });
 
 // Handle SIGINT/SIGTERM (Ctrl+C, system shutdown)
 process.on('SIGINT', () => {
   try { log('[SIGNAL] SIGINT received'); } catch (_e) {}
-  killBackend();
-  killAllBackendProcesses();
+  killAllRfcpProcesses();
   process.exit(0);
 });
 
 process.on('SIGTERM', () => {
   try { log('[SIGNAL] SIGTERM received'); } catch (_e) {}
-  killBackend();
-  killAllBackendProcesses();
+  killAllRfcpProcesses();
   process.exit(0);
 });
 
diff --git a/files.zip b/files.zip
new file mode 100644
index 0000000..145fb86
Binary files /dev/null and b/files.zip differ
diff --git a/installer/coverage-result-detailed.json b/installer/coverage-result-detailed.json
deleted file mode 100644
index 1ca5575..0000000
--- a/installer/coverage-result-detailed.json
+++ /dev/null
@@ -1 +0,0 @@
-{"detail":"Calculation timeout (5 min). Cleaned up 6 workers."}
\ No newline at end of file
diff --git a/installer/coverage-result-fast.json b/installer/coverage-result-fast.json
deleted file mode 100644
index d8ff5fb..0000000
--- a/installer/coverage-result-fast.json
+++ /dev/null
@@ -1 +0,0 @@
-{"points":[{"lat":50.43648648648649,"lon":30.505851605897966,"rsrp":-105.69025009224225,"distance":1806.020829185916,"has_los":false,"terrain_loss":20.396089610453,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.43648648648649,"lon":30.512925802948985,"rsrp":-92.4835624335349,"distance":1583.938078688471,"has_los":false,"terrain_loss":9.196674690877161,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.43648648648649,"lon":30.520000000000003,"rsrp":-82.480768797201,"distance":1502.634143845486,"has_los":true,"terrain_loss":0.0,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.43648648648649,"lon":30.52707419705102,"rsrp":-83.28688774266047,"distance":1583.9380786887555,"has_los":true,"terrain_loss":0.0,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.43648648648649,"lon":30.53414839410204,"rsrp":-106.07882989751963,"distance":1806.0208291864158,"has_los":false,"terrain_loss":20.784669415726164,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.44099099099099,"lon":30.498777408846948,"rsrp":-105.02150689040504,"distance":1806.0604997412747,"has_los":false,"terrain_loss":19.727010381525975,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.44099099099099,"lon":30.505851605897966,"rsrp":-91.8791706139063,"distance":1416.7644878913654,"has_los":false,"terrain_loss":10.298593806220993,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.44099099099099,"lon":30.512925802948985,"rsrp":-84.53562309703902,"distance":1120.0186877266547,"has_los":false,"terrain_loss":6.550531627274763,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.44099099099099,"lon":30.520000000000003,"rsrp":-82.7788514974186,"distance":1001.756095897698,"has_los":false,"terrain_loss":6.500871904841084,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.44099099099099,"lon":30.52707419705102,"rsrp":-85.91239690487743,"distance":1120.0186877270576,"has_los":false,"terrain_loss":7.927305435107649,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.44099099099099,"lon":30.53414839410204,"rsrp":-89.75069344387578,"distance":1416.7644878920025,"has_los":false,"terrain_loss":8.1701166361836,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.44099099099099,"lon":30.54122259115306,"rsrp":-97.27959400748654,"distance":1806.0604997420244,"has_los":false,"terrain_loss":11.985097498601137,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.44549549549549,"lon":30.498777408846948,"rsrp":-102.00726034842938,"distance":1583.9833103756157,"has_los":false,"terrain_loss":18.719935756192406,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.44549549549549,"lon":30.505851605897966,"rsrp":-88.6845207032794,"distance":1120.0400111348658,"has_los":false,"terrain_loss":10.699137986989722,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.44549549549549,"lon":30.512925802948985,"rsrp":-70.97647458216463,"distance":708.3653869240449,"has_los":true,"terrain_loss":0.0,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.44549549549549,"lon":30.520000000000003,"rsrp":-65.67424140939303,"distance":500.87804794920265,"has_los":true,"terrain_loss":0.0,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.44549549549549,"lon":30.52707419705102,"rsrp":-70.97647458217838,"distance":708.3653869246818,"has_los":true,"terrain_loss":0.0,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.44549549549549,"lon":30.53414839410204,"rsrp":-85.43476273758068,"distance":1120.0400111356714,"has_los":false,"terrain_loss":7.449380021280011,"building_loss":0.0,"reflection_gain":0.0,"vegetation_loss":0.0,"rain_loss":0.0,"indoor_loss":0.0,"atmospheric_loss":0.0},{"lat":50.44549549549549,"lon":30.54122259115306,"rsrp":-96.47889658356604,"distance":1583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\ No newline at end of file
diff --git a/installer/coverage-result-standard.json b/installer/coverage-result-standard.json
deleted file mode 100644
index 7ff69d4..0000000
--- a/installer/coverage-result-standard.json
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new file mode 100644
index 0000000..e54a4b1
--- /dev/null
+++ b/installer/monitor-realtime.bat
@@ -0,0 +1,49 @@
+@echo off
+title RFCP Real-time Resource Monitor
+setlocal EnableDelayedExpansion
+
+echo ============================================
+echo  RFCP Real-time Resource Monitor
+echo ============================================
+echo  Press Ctrl+C to stop
+echo ============================================
+echo.
+echo  TIME        CPU%%   MEM(MB)  PROCS  FREE_RAM(MB)
+echo  ----------  -----  -------  -----  ------------
+
+:loop
+
+:: Get current time
+set T=%time:~0,8%
+
+:: Count RFCP processes and their memory
+set PROC_COUNT=0
+set TOTAL_MEM=0
+for /f "skip=3 tokens=5 delims= " %%m in ('tasklist /FI "IMAGENAME eq rfcp-server.exe" 2^>nul') do (
+    set /a PROC_COUNT+=1
+    set MEM_STR=%%m
+    set MEM_STR=!MEM_STR:,=!
+    set MEM_STR=!MEM_STR: =!
+    if "!MEM_STR!" NEQ "" (
+        set /a TOTAL_MEM+=!MEM_STR! 2>nul
+    )
+)
+set /a TOTAL_MEM_MB=TOTAL_MEM/1024 2>nul
+
+:: Get free RAM (PowerShell — wmic deprecated in Win11)
+for /f %%a in ('powershell -NoProfile -Command "(Get-CimInstance Win32_OperatingSystem).FreePhysicalMemory" 2^>nul') do (
+    set /a FREE_RAM=%%a/1024 2>nul
+)
+
+:: Get CPU load (PowerShell — wmic deprecated in Win11)
+for /f %%a in ('powershell -NoProfile -Command "(Get-CimInstance Win32_Processor).LoadPercentage" 2^>nul') do (
+    set CPU=%%a
+)
+
+:: Display
+echo  %T%  %CPU%%%     %TOTAL_MEM_MB%      %PROC_COUNT%      %FREE_RAM%
+
+:: Wait 2 seconds
+timeout /t 2 /nobreak >nul
+
+goto loop
diff --git a/installer/rfcp-debug-enhanced.bat b/installer/rfcp-debug-enhanced.bat
new file mode 100644
index 0000000..8fb8281
--- /dev/null
+++ b/installer/rfcp-debug-enhanced.bat
@@ -0,0 +1,93 @@
+@echo off
+title RFCP Debug Launcher + Monitor
+setlocal EnableDelayedExpansion
+
+echo ============================================
+echo  RFCP Debug Launcher + Monitor
+echo ============================================
+echo.
+
+:: Kill any running instance
+echo [1/3] Cleaning up existing processes...
+taskkill /F /IM rfcp-server.exe 2>nul
+if %ERRORLEVEL% EQU 0 (
+    echo   Killed existing rfcp-server.exe
+    timeout /t 2 /nobreak >nul
+) else (
+    echo   No existing process found
+)
+echo.
+
+:: Environment setup
+set PYTHONUNBUFFERED=1
+set RFCP_DEBUG=1
+set RFCP_HOST=127.0.0.1
+set RFCP_PORT=8888
+
+echo [2/3] Environment:
+echo   PYTHONUNBUFFERED=%PYTHONUNBUFFERED%
+echo   RFCP_DEBUG=%RFCP_DEBUG%
+echo   RFCP_HOST=%RFCP_HOST%
+echo   RFCP_PORT=%RFCP_PORT%
+echo.
+
+:: Find executable
+if exist "%~dp0dist\rfcp-server.exe" (
+    set EXE_PATH=%~dp0dist\rfcp-server.exe
+    set WORK_DIR=%~dp0dist
+) else if exist "%~dp0rfcp-server.exe" (
+    set EXE_PATH=%~dp0rfcp-server.exe
+    set WORK_DIR=%~dp0
+) else (
+    echo [ERROR] rfcp-server.exe not found!
+    pause
+    exit /b 1
+)
+
+echo [3/3] Starting server...
+echo   Executable: %EXE_PATH%
+echo   Working dir: %WORK_DIR%
+echo.
+
+:: Create log directory
+set LOG_DIR=%WORK_DIR%\logs
+if not exist "%LOG_DIR%" mkdir "%LOG_DIR%"
+
+:: Log file with timestamp
+set TIMESTAMP=%date:~-4%%date:~3,2%%date:~0,2%-%time:~0,2%%time:~3,2%%time:~6,2%
+set TIMESTAMP=%TIMESTAMP: =0%
+set LOG_FILE=%LOG_DIR%\server-%TIMESTAMP%.log
+
+echo   Log file: %LOG_FILE%
+echo.
+echo ============================================
+echo  SERVER OUTPUT (also saved to log)
+echo ============================================
+echo.
+
+cd /d "%WORK_DIR%"
+
+:: Run server and tee to log file
+:: Note: PowerShell tee for dual output
+powershell -Command "& '%EXE_PATH%' 2>&1 | Tee-Object -FilePath '%LOG_FILE%'"
+
+echo.
+echo ============================================
+echo  Server stopped
+echo  Log saved to: %LOG_FILE%
+echo ============================================
+
+:: Post-mortem check
+echo.
+echo [POST-MORTEM] Checking for orphan processes...
+for /f %%a in ('tasklist /FI "IMAGENAME eq rfcp-server.exe" 2^>nul ^| find /c "rfcp-server"') do (
+    if %%a GTR 0 (
+        echo   WARNING: %%a rfcp-server process(es) still running!
+        echo   Run: taskkill /F /IM rfcp-server.exe
+    ) else (
+        echo   All processes cleaned up properly.
+    )
+)
+
+echo.
+pause
diff --git a/installer/test-coverage-monitor.bat b/installer/test-coverage-monitor.bat
new file mode 100644
index 0000000..cf03018
--- /dev/null
+++ b/installer/test-coverage-monitor.bat
@@ -0,0 +1,282 @@
+@echo off
+title RFCP Coverage API Test + Resource Monitor
+setlocal EnableDelayedExpansion
+
+echo ============================================
+echo  RFCP Coverage API Test + Resource Monitor
+echo ============================================
+echo.
+
+set API=http://127.0.0.1:8888
+set RESULTS_DIR=%~dp0test-results
+set TIMESTAMP=%date:~-4%%date:~3,2%%date:~0,2%-%time:~0,2%%time:~3,2%
+set TIMESTAMP=%TIMESTAMP: =0%
+
+:: Create results directory
+if not exist "%RESULTS_DIR%" mkdir "%RESULTS_DIR%"
+
+:: Log file for this run
+set LOG_FILE=%RESULTS_DIR%\test-run-%TIMESTAMP%.log
+
+echo Test started: %date% %time% > "%LOG_FILE%"
+echo. >> "%LOG_FILE%"
+
+:: ===========================================
+:: SYSTEM INFO
+:: ===========================================
+echo [SYSTEM] Collecting system info...
+echo. >> "%LOG_FILE%"
+echo === SYSTEM INFO === >> "%LOG_FILE%"
+
+:: CPU info (PowerShell — wmic deprecated in Win11)
+for /f "delims=" %%a in ('powershell -NoProfile -Command "(Get-CimInstance Win32_Processor).Name"') do (
+    echo CPU: %%a >> "%LOG_FILE%"
+    echo   CPU: %%a
+)
+
+:: RAM info (PowerShell)
+for /f %%a in ('powershell -NoProfile -Command "(Get-CimInstance Win32_OperatingSystem).TotalVisibleMemorySize"') do (
+    set /a RAM_GB=%%a/1024/1024
+    echo RAM: !RAM_GB! GB >> "%LOG_FILE%"
+    echo   RAM: !RAM_GB! GB
+)
+
+:: GPU info (PowerShell)
+echo   GPU: >> "%LOG_FILE%"
+for /f "delims=" %%a in ('powershell -NoProfile -Command "(Get-CimInstance Win32_VideoController).Name"') do (
+    echo     %%a >> "%LOG_FILE%"
+    echo     %%a
+)
+
+echo. >> "%LOG_FILE%"
+echo.
+
+:: ===========================================
+:: PRE-TEST BASELINE
+:: ===========================================
+echo [BASELINE] Capturing baseline resource usage...
+
+:: Get baseline memory
+for /f %%a in ('powershell -NoProfile -Command "(Get-CimInstance Win32_OperatingSystem).FreePhysicalMemory"') do (
+    set /a BASELINE_FREE_MB=%%a/1024
+)
+echo   Free RAM before: %BASELINE_FREE_MB% MB
+echo Baseline free RAM: %BASELINE_FREE_MB% MB >> "%LOG_FILE%"
+
+:: Count rfcp processes
+set RFCP_COUNT=0
+for /f %%a in ('tasklist /FI "IMAGENAME eq rfcp-server.exe" 2^>nul ^| find /c "rfcp-server"') do set RFCP_COUNT=%%a
+echo   RFCP processes: %RFCP_COUNT%
+echo Baseline RFCP processes: %RFCP_COUNT% >> "%LOG_FILE%"
+echo. >> "%LOG_FILE%"
+
+:: ===========================================
+:: TEST 1: Health check
+:: ===========================================
+echo.
+echo [TEST 1] Health check...
+echo === TEST 1: Health Check === >> "%LOG_FILE%"
+
+curl -s -o nul -w "HTTP %%{http_code}\n" %API%/api/health
+curl -s -w "HTTP %%{http_code}" %API%/api/health >> "%LOG_FILE%"
+echo. >> "%LOG_FILE%"
+
+:: ===========================================
+:: TEST 2: System info
+:: ===========================================
+echo.
+echo [TEST 2] Backend system info:
+echo === TEST 2: Backend System Info === >> "%LOG_FILE%"
+
+curl -s %API%/api/system/info
+curl -s %API%/api/system/info >> "%LOG_FILE%"
+echo.
+echo. >> "%LOG_FILE%"
+
+:: ===========================================
+:: TEST 3: Fast preset
+:: ===========================================
+echo.
+echo [TEST 3] Coverage - Fast preset (2km, 500m res)
+echo          Expected: ^< 1 second
+echo === TEST 3: Fast Preset === >> "%LOG_FILE%"
+
+:: Capture start memory
+for /f %%a in ('powershell -NoProfile -Command "(Get-CimInstance Win32_OperatingSystem).FreePhysicalMemory"') do set /a START_FREE=%%a/1024
+
+set START_TIME=%time%
+curl -s -w "\nTime: %%{time_total}s | HTTP: %%{http_code}" ^
+  -X POST %API%/api/coverage/calculate ^
+  -H "Content-Type: application/json" ^
+  -d "{\"sites\": [{\"lat\": 50.45, \"lon\": 30.52, \"height\": 30, \"power\": 43, \"gain\": 15, \"frequency\": 1800}], \"settings\": {\"radius\": 2000, \"resolution\": 500, \"preset\": \"fast\"}}" ^
+  -o "%RESULTS_DIR%\coverage-fast.json"
+
+set END_TIME=%time%
+
+:: Capture end memory
+for /f %%a in ('powershell -NoProfile -Command "(Get-CimInstance Win32_OperatingSystem).FreePhysicalMemory"') do set /a END_FREE=%%a/1024
+set /a MEM_USED=START_FREE-END_FREE
+
+echo.
+echo   Memory delta: %MEM_USED% MB
+echo Time: %START_TIME% - %END_TIME% >> "%LOG_FILE%"
+echo Memory delta: %MEM_USED% MB >> "%LOG_FILE%"
+echo. >> "%LOG_FILE%"
+
+:: ===========================================
+:: TEST 4: Standard preset
+:: ===========================================
+echo.
+echo [TEST 4] Coverage - Standard preset (5km, 300m res)
+echo          Expected: 30-45 seconds
+echo === TEST 4: Standard Preset === >> "%LOG_FILE%"
+
+:: Monitor resources during test
+echo   Starting resource monitor...
+start /b cmd /c "for /l %%i in (1,1,120) do (for /f %%a in ('powershell -NoProfile -Command "(Get-CimInstance Win32_OperatingSystem).FreePhysicalMemory" 2^>nul') do echo [%%i] Free: %%a KB >> "%RESULTS_DIR%\monitor-standard.log") & timeout /t 1 /nobreak >nul 2>&1"
+
+for /f %%a in ('powershell -NoProfile -Command "(Get-CimInstance Win32_OperatingSystem).FreePhysicalMemory"') do set /a START_FREE=%%a/1024
+
+curl -s -w "\nTime: %%{time_total}s | HTTP: %%{http_code}" ^
+  -X POST %API%/api/coverage/calculate ^
+  -H "Content-Type: application/json" ^
+  -d "{\"sites\": [{\"lat\": 50.45, \"lon\": 30.52, \"height\": 30, \"power\": 43, \"gain\": 15, \"frequency\": 1800}], \"settings\": {\"radius\": 5000, \"resolution\": 300, \"preset\": \"standard\"}}" ^
+  -o "%RESULTS_DIR%\coverage-standard.json"
+
+for /f %%a in ('powershell -NoProfile -Command "(Get-CimInstance Win32_OperatingSystem).FreePhysicalMemory"') do set /a END_FREE=%%a/1024
+set /a MEM_USED=START_FREE-END_FREE
+set /a PEAK_FROM_BASELINE=BASELINE_FREE_MB-END_FREE
+
+echo.
+echo   Memory delta: %MEM_USED% MB (peak from baseline: %PEAK_FROM_BASELINE% MB)
+echo Memory delta: %MEM_USED% MB >> "%LOG_FILE%"
+
+:: Count RFCP processes
+for /f %%a in ('tasklist /FI "IMAGENAME eq rfcp-server.exe" 2^>nul ^| find /c "rfcp-server"') do set RFCP_COUNT=%%a
+echo   RFCP processes: %RFCP_COUNT%
+echo RFCP processes: %RFCP_COUNT% >> "%LOG_FILE%"
+echo. >> "%LOG_FILE%"
+
+:: ===========================================
+:: TEST 5: Detailed preset (the big one!)
+:: ===========================================
+echo.
+echo [TEST 5] Coverage - Detailed preset (5km, 300m res)
+echo          Expected: ^< 90 seconds (was 300s timeout)
+echo          THIS IS THE VECTORIZATION TEST!
+echo === TEST 5: Detailed Preset (VECTORIZATION TEST) === >> "%LOG_FILE%"
+
+:: Start intensive resource monitor
+echo   Starting intensive resource monitor (every 2s)...
+start /b cmd /c "for /l %%i in (1,1,180) do (for /f %%a in ('powershell -NoProfile -Command "(Get-CimInstance Win32_OperatingSystem).FreePhysicalMemory" 2^>nul') do echo [%%i] Free: %%a KB >> "%RESULTS_DIR%\monitor-detailed.log") & timeout /t 2 /nobreak >nul 2>&1"
+
+:: CPU monitor (approximate via tasklist)
+start /b cmd /c "for /l %%i in (1,1,180) do (for /f "skip=2 tokens=5" %%c in ('tasklist /FI "IMAGENAME eq rfcp-server.exe" /FO LIST 2^>nul ^| findstr "Mem"') do echo [%%i] RFCP Mem: %%c >> "%RESULTS_DIR%\monitor-rfcp.log") & timeout /t 2 /nobreak >nul 2>&1"
+
+for /f %%a in ('powershell -NoProfile -Command "(Get-CimInstance Win32_OperatingSystem).FreePhysicalMemory"') do set /a START_FREE=%%a/1024
+
+set START_DETAIL=%time%
+echo   Start time: %START_DETAIL%
+
+curl -s -w "\nTime: %%{time_total}s | HTTP: %%{http_code}" ^
+  -X POST %API%/api/coverage/calculate ^
+  -H "Content-Type: application/json" ^
+  -d "{\"sites\": [{\"lat\": 50.45, \"lon\": 30.52, \"height\": 30, \"power\": 43, \"gain\": 15, \"frequency\": 1800}], \"settings\": {\"radius\": 5000, \"resolution\": 300, \"preset\": \"detailed\"}}" ^
+  -o "%RESULTS_DIR%\coverage-detailed.json" ^
+  2>&1
+
+set END_DETAIL=%time%
+echo   End time: %END_DETAIL%
+
+for /f %%a in ('powershell -NoProfile -Command "(Get-CimInstance Win32_OperatingSystem).FreePhysicalMemory"') do set /a END_FREE=%%a/1024
+set /a MEM_USED=START_FREE-END_FREE
+set /a PEAK_FROM_BASELINE=BASELINE_FREE_MB-END_FREE
+
+echo.
+echo   Memory delta: %MEM_USED% MB (peak from baseline: %PEAK_FROM_BASELINE% MB)
+echo Start: %START_DETAIL% >> "%LOG_FILE%"
+echo End: %END_DETAIL% >> "%LOG_FILE%"
+echo Memory delta: %MEM_USED% MB >> "%LOG_FILE%"
+
+:: Check result
+if exist "%RESULTS_DIR%\coverage-detailed.json" (
+    findstr /C:"timeout" "%RESULTS_DIR%\coverage-detailed.json" >nul 2>&1
+    if !ERRORLEVEL! EQU 0 (
+        echo   RESULT: TIMEOUT - Vectorization didn't help enough
+        echo RESULT: TIMEOUT >> "%LOG_FILE%"
+    ) else (
+        findstr /C:"points" "%RESULTS_DIR%\coverage-detailed.json" >nul 2>&1
+        if !ERRORLEVEL! EQU 0 (
+            echo   RESULT: SUCCESS - Calculation completed!
+            echo RESULT: SUCCESS >> "%LOG_FILE%"
+            
+            :: Extract point count
+            for /f "tokens=2 delims=:" %%a in ('findstr /C:"count" "%RESULTS_DIR%\coverage-detailed.json"') do (
+                echo   Points calculated: %%a
+                echo Points: %%a >> "%LOG_FILE%"
+            )
+        ) else (
+            echo   RESULT: ERROR - Check JSON file
+            echo RESULT: ERROR >> "%LOG_FILE%"
+        )
+    )
+)
+
+:: ===========================================
+:: POST-TEST CLEANUP CHECK
+:: ===========================================
+echo.
+echo [CLEANUP] Checking post-test state...
+echo === POST-TEST CLEANUP === >> "%LOG_FILE%"
+
+timeout /t 3 /nobreak >nul
+
+:: Count RFCP processes
+for /f %%a in ('tasklist /FI "IMAGENAME eq rfcp-server.exe" 2^>nul ^| find /c "rfcp-server"') do set RFCP_COUNT=%%a
+echo   RFCP processes after test: %RFCP_COUNT%
+echo RFCP processes after: %RFCP_COUNT% >> "%LOG_FILE%"
+
+:: Memory recovery
+for /f %%a in ('powershell -NoProfile -Command "(Get-CimInstance Win32_OperatingSystem).FreePhysicalMemory"') do set /a FINAL_FREE=%%a/1024
+set /a MEM_NOT_FREED=BASELINE_FREE_MB-FINAL_FREE
+
+echo   Free RAM now: %FINAL_FREE% MB (baseline was: %BASELINE_FREE_MB% MB)
+echo   Memory not freed: %MEM_NOT_FREED% MB
+echo Final free RAM: %FINAL_FREE% MB >> "%LOG_FILE%"
+echo Memory not freed: %MEM_NOT_FREED% MB >> "%LOG_FILE%"
+
+if %MEM_NOT_FREED% GTR 500 (
+    echo   WARNING: Possible memory leak - %MEM_NOT_FREED% MB not freed!
+    echo WARNING: Memory leak detected >> "%LOG_FILE%"
+)
+
+if %RFCP_COUNT% GTR 1 (
+    echo   WARNING: Multiple RFCP processes still running!
+    echo WARNING: Multiple processes >> "%LOG_FILE%"
+)
+
+:: ===========================================
+:: SUMMARY
+:: ===========================================
+echo.
+echo ============================================
+echo  TEST SUMMARY
+echo ============================================
+echo.
+echo   Results saved to: %RESULTS_DIR%
+echo   Log file: %LOG_FILE%
+echo.
+echo   Files created:
+echo     - coverage-fast.json
+echo     - coverage-standard.json  
+echo     - coverage-detailed.json
+echo     - monitor-standard.log (memory during standard)
+echo     - monitor-detailed.log (memory during detailed)
+echo     - monitor-rfcp.log (rfcp process memory)
+echo.
+
+echo === SUMMARY === >> "%LOG_FILE%"
+echo Test completed: %date% %time% >> "%LOG_FILE%"
+
+echo ============================================
+pause
diff --git a/installer/test-detailed-quick.bat b/installer/test-detailed-quick.bat
new file mode 100644
index 0000000..9a6b976
--- /dev/null
+++ b/installer/test-detailed-quick.bat
@@ -0,0 +1,128 @@
+@echo off
+title RFCP - Detailed Preset Quick Test
+setlocal EnableDelayedExpansion
+
+echo ============================================
+echo  RFCP - Detailed Preset Quick Test
+echo ============================================
+echo.
+echo  This tests ONLY the Detailed preset to check
+echo  if NumPy vectorization is working.
+echo.
+echo  Expected: ^< 90 seconds (was 300s timeout)
+echo ============================================
+echo.
+
+set API=http://127.0.0.1:8888
+
+:: Check if server is running
+echo [1/4] Checking server...
+curl -s -o nul -w "HTTP %%{http_code}" %API%/api/health >nul 2>&1
+if %ERRORLEVEL% NEQ 0 (
+    echo   ERROR: Server not responding! Start rfcp-debug.bat first.
+    pause
+    exit /b 1
+)
+echo   Server OK
+echo.
+
+:: Get baseline
+echo [2/4] Capturing baseline...
+for /f %%a in ('powershell -NoProfile -Command "(Get-CimInstance Win32_OperatingSystem).FreePhysicalMemory"') do set /a BASE_FREE=%%a/1024
+for /f %%a in ('tasklist /FI "IMAGENAME eq rfcp-server.exe" 2^>nul ^| find /c "rfcp-server"') do set BASE_PROCS=%%a
+echo   Free RAM: %BASE_FREE% MB
+echo   RFCP procs: %BASE_PROCS%
+echo.
+
+:: Run test
+echo [3/4] Running Detailed preset (5km, 300m)...
+echo   Start: %time%
+echo.
+
+curl -s -w "\n  HTTP: %%{http_code}\n  Time: %%{time_total} seconds\n" ^
+  -X POST %API%/api/coverage/calculate ^
+  -H "Content-Type: application/json" ^
+  -d "{\"sites\": [{\"lat\": 50.45, \"lon\": 30.52, \"height\": 30, \"power\": 43, \"gain\": 15, \"frequency\": 1800}], \"settings\": {\"radius\": 5000, \"resolution\": 300, \"preset\": \"detailed\"}}" ^
+  -o detailed-result.json
+
+echo.
+echo   End: %time%
+echo.
+
+:: Check result
+echo [4/4] Analyzing result...
+
+:: Check for timeout
+findstr /C:"timeout" detailed-result.json >nul 2>&1
+if %ERRORLEVEL% EQU 0 (
+    echo.
+    echo   ============================================
+    echo   RESULT: TIMEOUT 
+    echo   Vectorization needs more optimization.
+    echo   ============================================
+    echo.
+    type detailed-result.json
+    goto :cleanup
+)
+
+:: Check for success (has "points")
+findstr /C:"\"points\"" detailed-result.json >nul 2>&1
+if %ERRORLEVEL% EQU 0 (
+    echo.
+    echo   ============================================
+    echo   RESULT: SUCCESS!
+    echo   Detailed preset completed without timeout!
+    echo   ============================================
+    echo.
+    
+    :: Extract stats
+    echo   Extracting stats from result...
+    
+    :: Count points (rough)
+    for /f "tokens=2 delims=:," %%a in ('findstr /C:"\"count\"" detailed-result.json') do (
+        echo   Points calculated: %%a
+    )
+    
+    :: Get computation time
+    for /f "tokens=2 delims=:," %%a in ('findstr /C:"\"computation_time\"" detailed-result.json') do (
+        echo   Computation time: %%a seconds
+    )
+    
+    goto :cleanup
+)
+
+:: Unknown result
+echo.
+echo   RESULT: UNKNOWN
+echo   Check detailed-result.json manually
+type detailed-result.json
+
+:cleanup
+echo.
+echo ============================================
+echo  POST-TEST CLEANUP CHECK
+echo ============================================
+
+timeout /t 3 /nobreak >nul
+
+for /f %%a in ('powershell -NoProfile -Command "(Get-CimInstance Win32_OperatingSystem).FreePhysicalMemory"') do set /a END_FREE=%%a/1024
+for /f %%a in ('tasklist /FI "IMAGENAME eq rfcp-server.exe" 2^>nul ^| find /c "rfcp-server"') do set END_PROCS=%%a
+
+set /a MEM_DIFF=BASE_FREE-END_FREE
+
+echo   Free RAM: %END_FREE% MB (was %BASE_FREE% MB, diff: %MEM_DIFF% MB)
+echo   RFCP procs: %END_PROCS% (was %BASE_PROCS%)
+
+if %MEM_DIFF% GTR 500 (
+    echo.
+    echo   WARNING: Memory not fully released!
+)
+
+if %END_PROCS% GTR %BASE_PROCS% (
+    echo.
+    echo   WARNING: Extra RFCP processes still running!
+)
+
+echo.
+echo ============================================
+pause