pilot: real ballistics from the solved Shell records — and the metric that says it did not help

Shell_TCAF_DeltaSaber_*_P: Velocity 8000, LifeTime 0.5 s, MaximumRange 4000
(self-consistent: 8000 x 0.5 = 4000), all confirmed. Two things were wrong:
lead computed flight time as d / OUR speed (400-2000 u/s, so every shot was led
4-16x too far), and FIRE_RANGE was 5000 — past where the shells expire.

Both fixed. But the HUD's own kill counters read 0000/0000 at the end of EVERY
run including the nearest-fighter baseline, so the pilot kills nothing in any
configuration and 'fraction of frames firing' was never measuring lethality.
No improvement is claimed.

One clean negative result kept: gating on the target's angular half-size alone
(2.7 deg at 2584 units) is far tighter than the steering loop can hold the nose
— firing collapsed to 1 frame in 2639. Angular size is a floor on the firing
cone, never a cap.

Next: the HUD carries a live ammo count, so holding fire and watching it settles
'we never shoot' vs 'we shoot and miss' in a single run.

docs/re/mission-escort-state.md

@@ -121,6 +121,37 @@ destroyer the avoidance expected to clear by 365 units — against a hull of rad
 `BIG_RADIUS` now gets a physical keep-out of **its own radius + 800**, with braking
 inside it, whatever its faction; the next run survived its full 330 s untouched.
 
+## Ballistics from the disc data — and the measurement that invalidates the metric
+
+The solved `Shell` records give the player's guns exactly
+(`Shell_TCAF_DeltaSaber_{NoseGun,Gun,Beam}_P`, all ✅ CONFIRMED):
+**`Velocity` 8000**, **`LifeTime` 0.5 s**, **`MaximumRange` 4000** — self-consistent,
+since 8000 × 0.5 = 4000 — plus shell `Radius` 20–30 and `Power` 15/30/40.
+
+Two things in `pilot.py` were plainly wrong against those numbers, and both are fixed:
+
+- **Lead used our own speed as the shell speed.** Flight time was `d / max(our_speed,
+  300)`, i.e. 400–2000 u/s instead of 8000 — every shot led **4–16× too far ahead**.
+- **`FIRE_RANGE` was 5000**, past the range at which the shells expire.
+
+**But the outcome metric says none of this has been shown to help.** The HUD's own
+counters — `YOU KILLED: WARSHIPS` / `WARPLANES` — read **0000 / 0000 at the end of
+every run**, including the nearest-fighter baseline. The pilot is not killing
+anything in any configuration, so "fraction of frames with the guns on" (12 % → 5 % →
+1 frame in 2639 as the firing gate was varied) was never measuring lethality. The
+corrections above are right on the physics and fix demonstrably wrong code; **they are
+not evidence of improvement**, and none is claimed.
+
+The firing gate itself produced one clean result worth keeping: gating on the target's
+angular half-size **alone** (2.7° at 2584 units for a fighter) is far tighter than the
+steering loop can hold the nose, and firing collapsed to 1 frame in 2639. Angular size
+belongs in the gate as a **floor** that opens it up close, never as a cap.
+
+**Open (next):** find out why nothing dies. The cheap decisive test is whether the
+`RB` command discharges the gun at all — the HUD carries a live ammo count
+(`MAIN MPM 00300`, which the weapon RE matched to `LoadingCount`), so holding fire and
+watching that number settles "we never shoot" vs "we shoot and miss" in one run.
+
 ## Reimplementation notes
 
 - Defeat conditions for an escort stage are readable as: protected-asset

tools/re-capture/pilot.py

@@ -31,10 +31,11 @@ run.
 **Why DEFEND exists, and why it is not simply "always guard the asset".** Stage
 02 is an escort: a 240 s run ended in GAME OVER with our own hull at 1500/1500
 because the ACROPOLIS sank while the pilot chased the nearest fighter 2 km away.
-But the measurement in docs/re/mission-escort-state.md says the asset is *not*
+But the measurement in docs/re/mission-escort-state.md says the loss is *slow* —
-in danger early — it sat at a full 25000 for the first ~170 s and then lost
+a few hundred to ~1400 HP/min against 25000, i.e. tens of minutes to sink. (When
-~600 HP/min, i.e. ~40 minutes to sink from full. So permanently orbiting it
+it starts varies: t≈170 s in one run, t≈70 s in another, so do not schedule on
-would throw away most of the mission for nothing. The policy that fits the
+it — react to the hull.) So permanently orbiting it would throw away most of the
+mission for nothing. The policy that fits the
 measurement is: **fight freely until the asset is actually being hurt, then
 switch to killing its attackers specifically.** Both the trigger and the target
 choice are read live — every entity's hull is `position + 0x154`, confirmed for
@@ -63,6 +64,19 @@ HULL_OFF = 0x154          # confirmed: == definition HP at spawn, falls when hit
 SHIELD_OFF = 0x430        # candidate: == definition Shield MaxValue at spawn
 DEF_HP = 0x054            # unit-struct-runtime.md
 
+# The player Delta Saber's guns, from the solved Shell records
+# (docs/re/captures/weapon-runtime-fields.csv, all ✅ CONFIRMED):
+#   Shell_TCAF_DeltaSaber_{NoseGun,Gun,Beam}_P  Velocity 8000, LifeTime 0.5 s,
+#   MaximumRange 4000 (= 8000 × 0.5, self-consistent), shell Radius 20–30.
+# Both numbers were previously wrong in this loop, and both mattered:
+#   * flight time was computed as d / OUR speed (400–2000 u/s), so every shot
+#     was led 4–16× too far ahead of the target;
+#   * FIRE_RANGE was 5000, i.e. a quarter of the shots were fired at targets
+#     the shells expire before reaching.
+SHELL_VELOCITY = 8000.0
+SHELL_MAX_RANGE = 4000.0
+SHELL_RADIUS = 20.0
+
 # Stage 02's protected asset. Named rather than derived: "the biggest friendly"
 # picks the f105 cruiser (30000 HP > the Acropolis's 25000), and "the friendly
 # with the most HP" picks it too, so neither rule finds the right ship. The
@@ -73,8 +87,10 @@ ASSET_NAME = os.environ.get("SYLPH_ASSET", "Acropolis")
 
 class Pilot:
     KP, KD = 2.2, 0.45
-    FIRE_CONE = math.radians(9)
+    FIRE_CONE = math.radians(9)       # fallback only; the real gate is angular size
-    FIRE_RANGE = 5000.0
+    FIRE_RANGE = SHELL_MAX_RANGE      # the shells simply do not arrive past this
+    CONE_MIN = math.radians(2.0)
+    CONE_MAX = math.radians(25.0)   # close-in the target subtends a lot; let it
     TURRET_KEEPOUT = 2500.0   # ...and stay this far from things that shoot back
     EVADE_QUIET = 5.0         # seconds without damage before re-engaging
     RETIRE_FRAC = 0.30        # hull fraction that sends us home
@@ -143,7 +159,7 @@ class Pilot:
             if d > self.ASSET_GUARD:
                 continue
             closing = float(np.dot(norm(rel), v))     # +ve = moving at the asset
-            out.append((d - self.CLOSING_WEIGHT * max(closing, 0.0), off, nm, p, v, d))
+            out.append((d - self.CLOSING_WEIGHT * max(closing, 0.0), off, nm, p, v, d, r))
         out.sort(key=lambda e: e[0])
         return out
 
@@ -172,9 +188,27 @@ class Pilot:
             out.append((off, nm, p, v, r, "Turret" in nm or r >= navigator.Navigator.BIG_RADIUS))
         return out
 
+    def lead_point(self, p, v, d):
+        """Where to aim: the target moved on by the shell's real flight time."""
+        return p + v * (d / SHELL_VELOCITY)
+
+    def fire_cone(self, d, r):
+        """How far off the nose we will still pull the trigger.
+
+        The target's angular half-size, atan((r_target + r_shell) / range), is
+        the angle that can actually *hit* — but gating on it alone was measured
+        to be much worse than the old fixed 9°: at 2584 units a fighter subtends
+        2.7°, the steering loop holds the nose to ~10–30°, and firing collapsed
+        to 1 frame in 2639. Ammunition is free and the guns are continuous, so
+        the angular size belongs here as a **floor** that opens the gate wider
+        up close, never as a cap that closes it far out.
+        """
+        if d < 1.0:
+            return self.CONE_MAX
+        return min(self.CONE_MAX, max(self.FIRE_CONE, math.atan2(r + SHELL_RADIUS, d)))
+
     def pick(self, me_p, me_v, fwd, hos):
         """Nearest *fighter*, weighted by how far off the nose it is."""
-        speed = max(float(np.linalg.norm(me_v)), 1.0)
         best, bestscore = None, 1e18
         for off, nm, p, v, r, hard in hos:
             if hard:
@@ -183,11 +217,11 @@ class Pilot:
             d = float(np.linalg.norm(rel))
             if d < 1e-3:
                 continue
-            lead = p + v * (d / max(speed, 300.0))
+            lead = self.lead_point(p, v, d)
             theta = ang(lead - me_p, fwd)
             score = d * (1.0 + 3.0 * (theta / math.pi) ** 2)
             if score < bestscore:
-                best, bestscore = (off, nm, lead, lead - me_p, d), score
+                best, bestscore = (off, nm, lead, lead - me_p, d, r), score
         return best
 
     def threat_vector(self, me_p, hos):
@@ -308,16 +342,15 @@ class Pilot:
             # past three targets to reach a marginally worse fourth.
             atk = self.asset_attackers(hos, ast[2])
             best = None
-            for score, off, nm, p, v, d_a in atk:
+            for score, off, nm, p, v, d_a, r in atk:
                 d_me = float(np.linalg.norm(p - me_p))
                 total = score + self.MY_RANGE_WEIGHT * d_me
                 if best is None or total < best[0]:
-                    best = (total, off, nm, p, v, d_me)
+                    best = (total, off, nm, p, v, d_me, r)
             if best is not None:
-                _, off, nm, p, v, d_me = best
+                _, off, nm, p, v, d_me, r = best
-                speed_ref = max(speed, 300.0)
+                lead = self.lead_point(p, v, d_me)
-                lead = p + v * (d_me / speed_ref)
+                tgt = (off, nm, lead, lead - me_p, d_me, r)
-                tgt = (off, nm, lead, lead - me_p, d_me)
                 want = norm(tgt[3])
                 self.set_throttle(+1 if d_me > 2500.0 else 0)
             else:
@@ -394,7 +427,8 @@ class Pilot:
         # so gating on it means the guns stay cold exactly when the loop is
         # manoeuvring — which is most of a dogfight.
         aim = self.sticks(norm(tgt[3]), M, w)[2:] if tgt else (math.pi, math.pi)
-        aim_ok = abs(aim[0]) < self.FIRE_CONE and abs(aim[1]) < self.FIRE_CONE
+        cone = self.fire_cone(tgt[4], tgt[5]) if tgt else self.FIRE_CONE
+        aim_ok = abs(aim[0]) < cone and abs(aim[1]) < cone
         fire = bool(fire and tgt and aim_ok and tgt[4] < self.FIRE_RANGE and pn < 1.2)
 
         if not self.dry: