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re(flight): the clock factor is universal — angular matches too once corrected in-run

Browse Source 
pitch_gametime.py brackets each turn phase with HUD screenshots, so the mission
clock's own advance converts wall seconds to game seconds within the same run:

  this run's clock: TIME 00:33.68 -> 00:44.12 = 10.44 s game in 7.96 s wall = 1.311

  pitch @ min speed  88.9 deg/wall-s  /1.311 -> 67.8 deg/game-s  vs AV_PitchMinus_Min 75
  pitch @ max speed  53.6            /1.311 -> 40.9             vs AV_PitchMinus_Max 40

Both land on the definition (the slow phase 10% low, consistent with including the
AA_* ramp in an 8 s window), so the clock explanation covers angular motion as well:
every stated rate is per GAME second.

The ratio is not a machine constant — 1.260 in the earlier flight, 1.311 here — so it
must be measured in the same run as whatever it corrects. Bonus: the same shots show
the HUD reading 102 at full LT against MinimumVelocity 100.

Also documents the trap that cost three runs: a killed Canary leaves both its shm
image and its last frame on screen, so a dead emulator looks alive and the scans
report "0 moving triples" like a tooling bug. pgrep -x matches zombies, so
speed_law.require_live_emulator() checks the process state letter and refuses to
measure a corpse.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NptfmpjdpNCKEez6d2xvA9
This commit is contained in:
Claude (auto-RE)
2026-08-13 17:56:16 +00:00
parent ae5f322c03
commit 8b10c0451f
4 changed files with 458 additions and 3 deletions
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314
docs/re/captures/pitch-gametime.csv Normal file
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fast,2.415,0.7138914376865056,-0.6182880840720885,0.3287534947226572
fast,2.465,0.7492325438071801,-0.584780749889073,0.31093740505026973
fast,2.515,0.7980625863701071,-0.5320401745258126,0.28289461098931906
fast,2.566,0.8280000832233713,-0.4950917864992449,0.2632489033653826
fast,2.618,0.8351255264037815,-0.48567212818960787,0.2582400802520477
fast,2.669,0.8351255264037815,-0.48567212818960787,0.2582400802520477
fast,2.719,0.8351255264037815,-0.48567212818960787,0.2582400802520477
fast,2.769,0.8351255264037815,-0.48567212818960787,0.2582400802520477
fast,2.82,0.9093870336730951,-0.36726148601053504,0.1952798604070126
fast,2.871,0.9203632924764715,-0.3452879583192104,0.18359639348750836
fast,2.921,0.9600488101430662,-0.247076202859695,0.13137591911502494
fast,2.972,0.9669595427173864,-0.2250884627532023,0.1196846969465328
fast,3.022,0.9813959442736294,-0.16952014269323645,0.09013834802422341
fast,3.074,0.9837681894544645,-0.158438487459875,0.08424603912892294
fast,3.124,0.9837681894544645,-0.158438487459875,0.08424603912892294
fast,3.174,0.9837681894544645,-0.158438487459875,0.08424603912892294
fast,3.224,0.9985768344211968,-0.04708834623109012,0.025039836392490022
fast,3.276,0.9999091072744978,0.011905223183064872,-0.006327942041318827
fast,3.326,0.9958087405962524,0.08075529499181068,-0.04293640044171679
fast,3.376,0.9931046463689198,0.10350980586946733,-0.05503527459119239
fast,3.426,0.9725948196320136,0.20529173779377843,-0.10915410765784948
fast,3.476,0.9662434406366642,0.22747505904204074,-0.12094920810175326
fast,3.526,0.9554895457575009,0.26049211070264017,-0.13850483099808442
fast,3.577,0.9554895457575009,0.26049211070264017,-0.13850483099808442
fast,3.627,0.9554895457575009,0.26049211070264017,-0.13850483099808442
fast,3.677,0.9554895457575009,0.26049211070264017,-0.13850483099808442
fast,3.727,0.8909286923979324,0.4009849131652504,-0.21320685841681314
fast,3.778,0.8640929736842651,0.44441621107211554,-0.23629973374041036
fast,3.829,0.8128494133306493,0.5142939755758894,-0.27345481881723305
fast,3.879,0.7814528720839342,0.5509276830126654,-0.2929336047674737
fast,3.929,0.7211597970721555,0.611678327920411,-0.3252355611542772
fast,3.979,0.6841778570037976,0.6439468055268214,-0.34239329963872395
fast,4.029,0.6746720278390272,0.65171893206941,-0.34652573992978153
fast,4.082,0.6746720278390272,0.65171893206941,-0.34652573992978153
fast,4.133,0.6746720278390272,0.65171893206941,-0.34652573992978153
fast,4.183,0.6746720278390272,0.65171893206941,-0.34652573992978153
fast,4.233,0.5182188187016136,0.7551386081987147,-0.4015158008736547
fast,4.284,0.47114018545956854,0.7788105659042874,-0.41410267818618
fast,4.335,0.37644461942850993,0.8179963583095251,-0.4349383936785522
fast,4.385,0.32771191712873915,0.8341882735212928,-0.44354799480030493
fast,4.435,0.22775844025010583,0.8597406189563827,-0.4571347296053267
fast,4.485,0.20235015483807314,0.864681197867618,-0.4597617218638685
fast,4.536,0.18963344038093657,0.8669254276051488,-0.4609549449359662
fast,4.586,0.18963344038093657,0.8669254276051488,-0.4609549449359662
fast,4.636,0.18963344038093657,0.8669254276051488,-0.4609549449359662
fast,4.686,0.0616702782462941,0.8812657670818295,-0.46858022210791117
fast,4.742,-0.033265594992281614,0.8824576094559936,-0.4692142023671305
fast,4.793,-0.08561358744104564,0.8797044474697407,-0.46775035943057547
fast,4.861,-0.16311988058380167,0.8711202450018558,-0.46318616484760533
fast,4.911,-0.2647679339679234,0.8514356989074474,-0.4527197717886242
fast,4.962,-0.31438943728704216,0.8381755148966445,-0.4456692584754773
fast,5.012,-0.31438943728704216,0.8381755148966445,-0.4456692584754773
fast,5.062,-0.31438943728704216,0.8381755148966445,-0.4456692584754773
fast,5.112,-0.31438943728704216,0.8381755148966445,-0.4456692584754773
fast,5.163,-0.4463483290724788,0.7901123971308208,-0.42011375725438266
fast,5.213,-0.505148005766188,0.7620111594970173,-0.40517216719865473
fast,5.263,-0.5274613820707995,0.7501322143205744,-0.3988560535612739
fast,5.313,-0.6235599606983542,0.6902653205120604,-0.36702419908263495
fast,5.364,-0.6535579280284671,0.6682807541755503,-0.3553348678496027
fast,5.414,-0.6535579280284671,0.6682807541755503,-0.3553348678496027
fast,5.464,-0.6535579280284671,0.6682807541755503,-0.3553348678496027
fast,5.514,-0.6535579280284671,0.6682807541755503,-0.3553348678496027
fast,5.564,-0.7542996656095252,0.5796803289795648,-0.3082251298247795
fast,5.615,-0.8053480118610813,0.5234118913151391,-0.2783066147638474
fast,5.665,-0.835317794193117,0.4854144024411218,-0.25810277140525667
fast,5.715,-0.8756811392589173,0.4263650045332836,-0.22670559158419007
fast,5.765,-0.8879541369536935,0.4060944713229071,-0.21592760598818767
fast,5.816,-0.8938471875490723,0.3958873769547781,-0.21050033272771532
fast,5.867,-0.8938471875490723,0.3958873769547781,-0.21050033272771532
fast,5.917,-0.8938471875490723,0.3958873769547781,-0.21050033272771532
fast,5.967,-0.8938471875490723,0.3958873769547781,-0.21050033272771532
fast,6.017,-0.9568362261302265,0.2566077577804137,-0.1364437430290401
fast,6.067,-0.9711494705384393,0.21055675115725614,-0.11195785106463185
fast,6.118,-0.9868689841435945,0.1426150745455621,-0.07583237203037746
fast,6.168,-0.9907414896934681,0.11986964152412082,-0.06373829022531322
fast,6.218,-0.9974727159739508,0.06273297303862826,-0.03335798227238545
fast,6.27,-0.9974727159739508,0.06273297303862826,-0.03335798227238545
fast,6.321,-0.9974727159739508,0.06273297303862826,-0.03335798227238545
fast,6.371,-0.9974727159739508,0.06273297303862826,-0.03335798227238545
fast,6.421,-0.9962961796573708,-0.0759235377258525,0.04036754661010212
fast,6.471,-0.9935876720124013,-0.09983054395307195,0.053079191016920685
fast,6.521,-0.98151891503074,-0.1689659788258626,0.0898393980183376
fast,6.572,-0.9761981791370964,-0.19149456258495987,0.1018182083412009
fast,6.622,-0.9600279771648162,-0.24714097112937958,0.13140632956619028
fast,6.673,-0.9600279771648162,-0.24714097112937958,0.13140632956619028
fast,6.723,-0.9600279771648162,-0.24714097112937958,0.13140632956619028
fast,6.773,-0.9600279771648162,-0.24714097112937958,0.13140632956619028
fast,6.823,-0.9600279771648162,-0.24714097112937958,0.13140632956619028
fast,6.874,-0.8987677690425633,-0.3871064780875767,0.20582777254997944
fast,6.924,-0.8670890034724157,-0.43984325215975256,0.23386871014897564
fast,6.974,-0.8537120733075257,-0.4597908235105943,0.24447514087206346
fast,7.024,-0.7865457418615867,-0.545248184091142,0.2899141488522395
fast,7.074,-0.7533129809628684,-0.5806809342120418,0.3087542798982184
fast,7.127,-0.7447100018154831,-0.5892684722773185,0.31332041231930347
fast,7.179,-0.7447100018154831,-0.5892684722773185,0.31332041231930347
fast,7.229,-0.7447100018154831,-0.5892684722773185,0.31332041231930347
fast,7.279,-0.7447100018154831,-0.5892684722773185,0.31332041231930347
fast,7.329,-0.5992280106837283,-0.7068679873070793,0.3758502889881291
fast,7.379,-0.5443899367788374,-0.7406440829377567,0.3938095213973664
fast,7.431,-0.4771420994818272,-0.7759564582613324,0.4125857387072451
fast,7.481,-0.41846538807715317,-0.801920794933833,0.42639155436538256
fast,7.531,-0.35845204323781216,-0.8242729196805756,0.43827649558229453
fast,7.581,-0.35845204323781216,-0.8242729196805756,0.43827649558229453
fast,7.631,-0.35845204323781216,-0.8242729196805756,0.43827649558229453
fast,7.681,-0.35845204323781216,-0.8242729196805756,0.43827649558229453
fast,7.732,-0.23477000507402776,-0.8582687461538578,0.4563527189499649
fast,7.783,-0.20781325308245005,-0.8636701935950999,0.4592248344097825
fast,7.861,-0.10263756227815277,-0.8782831695934015,0.4669948659445483
fast,7.911,-0.02463647965351885,-0.8826781186805318,0.4693318470686588
fast,7.962,0.001224726571744081,-0.8829453951924657,0.4694740984902627
1 phase t fx fy fz
2 slow 0.022 -0.9999999999976801 -5.364418029772711e-07 -2.0861625671338324e-06
3 slow 0.072 -0.9999999999976801 -5.364418029772711e-07 -2.0861625671338324e-06
4 slow 0.138 -0.9999999999976801 -5.364418029772711e-07 -2.0861625671338324e-06
5 slow 0.188 -0.9999999999976801 -5.364418029772711e-07 -2.0861625671338324e-06
6 slow 0.238 -0.9999996503301273 -0.000739351008976433 0.00039076810084039696
7 slow 0.288 -0.9995667500505145 -0.025989011351613873 0.013816058859813869
8 slow 0.338 -0.9991424233572718 -0.03655991231151712 0.01943683769373226
9 slow 0.388 -0.9974614922372212 -0.06287386978474002 0.03342825155743701
10 slow 0.441 -0.9974614922372212 -0.06287386978474002 0.03342825155743701
11 slow 0.491 -0.9974614922372212 -0.06287386978474002 0.03342825155743701
12 slow 0.542 -0.9974614922372212 -0.06287386978474002 0.03342825155743701
13 slow 0.592 -0.9756937705208446 -0.19348862930198532 0.10287767735352636
14 slow 0.642 -0.9599895265779043 -0.24725777991348272 0.13146748317735063
15 slow 0.692 -0.9065968643570531 -0.3726025922234667 0.19811469861247516
16 slow 0.742 -0.8880690175394421 -0.405900585102419 0.215819681910719
17 slow 0.792 -0.8231976038572328 -0.5012983450542031 0.2665439443124295
18 slow 0.845 -0.8111180643235866 -0.5164209971100269 0.2745848493122731
19 slow 0.895 -0.8111180643235866 -0.5164209971100269 0.2745848493122731
20 slow 0.946 -0.8111180643235866 -0.5164209971100269 0.2745848493122731
21 slow 0.996 -0.8111180643235866 -0.5164209971100269 0.2745848493122731
22 slow 1.047 -0.6225347328753619 -0.6909879300492386 0.3674046636749054
23 slow 1.098 -0.4995761468930651 -0.7648708472261829 0.40668939071357624
24 slow 1.148 -0.42441628069163945 -0.7994799112461082 0.425091392759005
25 slow 1.198 -0.34635895158661695 -0.8282947460891245 0.440412636350244
26 slow 1.249 -0.26597407096587283 -0.8511436226859083 0.4525619594430681
27 slow 1.3 -0.22508987440157757 -0.8602890836759516 0.45742457405551984
28 slow 1.35 -0.22508987440157757 -0.8602890836759516 0.45742457405551984
29 slow 1.4 -0.22508987440157757 -0.8602890836759516 0.45742457405551984
30 slow 1.45 0.0050435963756794286 -0.8829357634414114 0.4694667184920898
31 slow 1.5 0.1113271185026686 -0.8774582682112876 0.4665546701443904
32 slow 1.551 0.19530088938670107 -0.8659441420087264 0.46043273724349176
33 slow 1.601 0.35806279594948665 -0.8244050055782095 0.4383462340826355
34 slow 1.651 0.4357105639703388 -0.7947284845866424 0.4225670837053784
35 slow 1.701 0.4357105639703388 -0.7947284845866424 0.4225670837053784
36 slow 1.751 0.4357105639703388 -0.7947284845866424 0.4225670837053784
37 slow 1.801 0.581059227173933 -0.7185957552011922 0.38208679003972373
38 slow 1.854 0.5981621070188505 -0.707571139880663 0.3762249004714446
39 slow 1.933 0.7102092219298712 -0.6215856943388454 0.3305058027918156
40 slow 1.983 0.7936818073741404 -0.5371251153693617 0.28559726728869045
41 slow 2.034 0.8306115980329357 -0.491670162790673 0.2614284304251665
42 slow 2.085 0.8306115980329357 -0.491670162790673 0.2614284304251665
43 slow 2.136 0.8306115980329357 -0.491670162790673 0.2614284304251665
44 slow 2.186 0.8306115980329357 -0.491670162790673 0.2614284304251665
45 slow 2.236 0.9439254674422402 -0.29151154402331125 0.15500236003072188
46 slow 2.288 0.9782500298959619 -0.18314796371755346 0.09738430260911397
47 slow 2.338 0.9923168633793271 -0.1092393189325843 0.05808626216377494
48 slow 2.388 0.9999950320089501 0.0027841479666426932 -0.0014779978073891553
49 slow 2.439 0.9961448118772039 0.07745674002692376 -0.04118212226842516
50 slow 2.489 0.9885868780617736 0.1330186187164556 -0.07072504223287812
51 slow 2.54 0.9885868780617736 0.1330186187164556 -0.07072504223287812
52 slow 2.59 0.9885868780617736 0.1330186187164556 -0.07072504223287812
53 slow 2.64 0.9885868780617736 0.1330186187164556 -0.07072504223287812
54 slow 2.69 0.9104394306290844 0.3652252075952527 -0.1941921494108173
55 slow 2.741 0.8718210936242394 0.4324898355933772 -0.22995765440673788
56 slow 2.791 0.8021474529558832 0.5272312979999614 -0.28033305571349426
57 slow 2.841 0.7483879225773887 0.5856251973581853 -0.31138183241718986
58 slow 2.891 0.6415804884515123 0.6772700855747096 -0.3601106885722006
59 slow 2.942 0.5565400067937 0.7335711833839508 -0.39004684301598735
60 slow 2.992 0.5025832072518267 0.7633335327127708 -0.4058719473241637
61 slow 3.042 0.5025832072518267 0.7633335327127708 -0.4058719473241637
62 slow 3.092 0.5025832072518267 0.7633335327127708 -0.4058719473241637
63 slow 3.142 0.5025832072518267 0.7633335327127708 -0.4058719473241637
64 slow 3.193 0.26840150425248394 0.8505494121077833 -0.4522458734782528
65 slow 3.243 0.14383384202445684 0.8737661032159637 -0.4645908121769882
66 slow 3.293 0.017126773329819035 0.8828175004515181 -0.46940380753871486
67 slow 3.344 -0.025233536073355507 0.8826657223955247 -0.46932343982079283
68 slow 3.394 -0.1306276597599528 0.8753813567867831 -0.46545020646226887
69 slow 3.444 -0.1306276597599528 0.8753813567867831 -0.46545020646226887
70 slow 3.494 -0.1306276597599528 0.8753813567867831 -0.46545020646226887
71 slow 3.544 -0.1306276597599528 0.8753813567867831 -0.46545020646226887
72 slow 3.594 -0.3953899986357624 0.8109981935802458 -0.4312176700790331
73 slow 3.644 -0.5092096812736444 0.7599012381904277 -0.40404901768702334
74 slow 3.695 -0.6146085873298012 0.6964964366951696 -0.37033633099035523
75 slow 3.745 -0.6475735623151888 0.6728076094689478 -0.35774069104743467
76 slow 3.795 -0.7246428766140702 0.6084598143649699 -0.32352643736707504
77 slow 3.845 -0.7246428766140702 0.6084598143649699 -0.32352643736707504
78 slow 3.895 -0.7246428766140702 0.6084598143649699 -0.32352643736707504
79 slow 3.946 -0.7246428766140702 0.6084598143649699 -0.32352643736707504
80 slow 4.0 -0.8948032879220578 0.39420026288722865 -0.2096025492772329
81 slow 4.05 -0.9371976061971167 0.3079700993685502 -0.16375306053115327
82 slow 4.1 -0.9739646105616616 0.20016331274041113 -0.10643113081357014
83 slow 4.151 -0.9925182516704475 0.1078037923584182 -0.057322442849038695
84 slow 4.201 -0.9998661518865883 0.014444979973920849 -0.007682503827448022
85 slow 4.252 -0.999988574147902 -0.004221603854607207 0.0022426846725771095
86 slow 4.302 -0.999988574147902 -0.004221603854607207 0.0022426846725771095
87 slow 4.352 -0.999988574147902 -0.004221603854607207 0.0022426846725771095
88 slow 4.402 -0.999988574147902 -0.004221603854607207 0.0022426846725771095
89 slow 4.454 -0.9481592609187346 -0.28059728776173093 0.1491951005723691
90 slow 4.504 -0.8998604949330586 -0.3851225220144059 0.20477239241678594
91 slow 4.554 -0.8483542366290391 -0.4674583762955424 0.24855131386636348
92 slow 4.605 -0.8002653758276345 -0.5294561807103555 0.281516395542175
93 slow 4.655 -0.7740407763904767 -0.5590258203543885 0.2972389756777044
94 slow 4.705 -0.7320686741889714 -0.6014912262488834 0.31981832501721374
95 slow 4.755 -0.7320686741889714 -0.6014912262488834 0.31981832501721374
96 slow 4.805 -0.7320686741889714 -0.6014912262488834 0.31981832501721374
97 slow 4.855 -0.7320686741889714 -0.6014912262488834 0.31981832501721374
98 slow 4.905 -0.5000347671416738 -0.7646370203731946 0.4065654421177173
99 slow 4.956 -0.38571043654168863 -0.8146245270401747 0.43314470917626546
100 slow 5.033 -0.3059761515320789 -0.8406001527732009 0.44695634893274494
101 slow 5.083 -0.14067269192255813 -0.8741670164828578 0.46480449765543375
102 slow 5.136 -0.11971066366716597 -0.876597475120388 0.46609679640277224
103 slow 5.186 -0.11971066366716597 -0.876597475120388 0.46609679640277224
104 slow 5.236 -0.11971066366716597 -0.876597475120388 0.46609679640277224
105 slow 5.286 0.09210780811437987 -0.8791932987194956 0.4674775878810623
106 slow 5.336 0.1552569076145395 -0.8722401249754417 0.46378061302818196
107 slow 5.389 0.29980078422712286 -0.8423325684075889 0.4478787045358116
108 slow 5.439 0.39908806765876 -0.8095847039629167 0.43046639980569157
109 slow 5.49 0.4751133264531701 -0.7769262478123317 0.4131016006829976
110 slow 5.542 0.4751133264531701 -0.7769262478123317 0.4131016006829976
111 slow 5.592 0.4751133264531701 -0.7769262478123317 0.4131016006829976
112 slow 5.642 0.4751133264531701 -0.7769262478123317 0.4131016006829976
113 slow 5.692 0.696657860237904 -0.633428595248907 0.3368026729254701
114 slow 5.742 0.726585020550654 -0.6066514667740671 0.3225650411502751
115 slow 5.792 0.8325182828011221 -0.48914972660411055 0.2600881653689665
116 slow 5.843 0.8765739353060135 -0.4249327255756417 0.22594316691811042
117 slow 5.893 0.9054260508840364 -0.37481374091028163 0.19929457093804306
118 slow 5.943 0.9054260508840364 -0.37481374091028163 0.19929457093804306
119 slow 5.993 0.9054260508840364 -0.37481374091028163 0.19929457093804306
120 slow 6.043 0.9054260508840364 -0.37481374091028163 0.19929457093804306
121 slow 6.093 0.9868879110680581 -0.14251307214027348 0.07577780187407064
122 slow 6.144 0.9928589520370625 -0.10532958640717122 0.056006960167108814
123 slow 6.194 0.9995721898785164 0.025825160128774418 -0.013729469246492699
124 slow 6.244 0.9934893887944055 0.10059024435508387 -0.05348305426490678
125 slow 6.294 0.9538232020213261 0.26521033194280885 -0.14101340048580407
126 slow 6.344 0.947267673727074 0.2829352443494437 -0.1504380331452729
127 slow 6.394 0.947267673727074 0.2829352443494437 -0.1504380331452729
128 slow 6.445 0.947267673727074 0.2829352443494437 -0.1504380331452729
129 slow 6.495 0.947267673727074 0.2829352443494437 -0.1504380331452729
130 slow 6.545 0.8243733791338322 0.4997895512364342 -0.2657422364818033
131 slow 6.597 0.7593203746728908 0.5745491212947682 -0.30549284087524925
132 slow 6.647 0.7010074410559842 0.6296776548998042 -0.3348053441987208
133 slow 6.697 0.6041754101078993 0.7035779205024607 -0.37409916279294836
134 slow 6.747 0.5340870381020223 0.7464697028629991 -0.39690555355025536
135 slow 6.797 0.4025055990782129 0.8082653740061208 -0.4297631067151235
136 slow 6.847 0.3433573357356595 0.8292682687272306 -0.44093069577729704
137 slow 6.898 0.3433573357356595 0.8292682687272306 -0.44093069577729704
138 slow 6.948 0.3433573357356595 0.8292682687272306 -0.44093069577729704
139 slow 6.999 0.3433573357356595 0.8292682687272306 -0.44093069577729704
140 slow 7.049 0.09503184681410931 0.8789508919606488 -0.46734813320765445
141 slow 7.1 -0.03242949378753749 0.8824823690120825 -0.4692261675519672
142 slow 7.15 -0.07486618489555856 0.8804688348729269 -0.46815562068258304
143 slow 7.202 -0.2217573682314415 0.8609628101781774 -0.4577845662810842
144 slow 7.253 -0.3436636683706333 0.8291685841702975 -0.44087950969291334
145 slow 7.306 -0.3436636683706333 0.8291685841702975 -0.44087950969291334
146 slow 7.356 -0.3436636683706333 0.8291685841702975 -0.44087950969291334
147 slow 7.406 -0.3436636683706333 0.8291685841702975 -0.44087950969291334
148 slow 7.456 -0.5335192585826919 0.7467851744734487 -0.3970756904017614
149 slow 7.506 -0.5863848618861591 0.715215075832045 -0.38028961207652284
150 slow 7.557 -0.6691599892298212 0.6561333325626291 -0.3488752767311034
151 slow 7.607 -0.7582631988698701 0.5756351874374445 -0.30607360589160554
152 slow 7.657 -0.8108505756823166 0.51674664977568 -0.27476215871416254
153 slow 7.707 -0.8575526461274808 0.4541837039893854 -0.24149662968711988
154 slow 7.757 -0.8575526461274808 0.4541837039893854 -0.24149662968711988
155 slow 7.808 -0.8575526461274808 0.4541837039893854 -0.24149662968711988
156 slow 7.859 -0.8575526461274808 0.4541837039893854 -0.24149662968711988
157 slow 7.909 -0.9532867456950477 0.2667081367420545 -0.1418137873329921
158 slow 7.959 -0.9755224624568912 0.19415891248194872 -0.10323876183813074
159 fast 0.031 -0.9183790521746182 -0.3493842945716818 0.1857701031745906
160 fast 0.081 -0.9181941875656858 -0.34976292144045307 0.18597132226778823
161 fast 0.131 -0.9157256739103099 -0.35477222000318137 0.18863499690015914
162 fast 0.181 -0.9149015400332507 -0.3564260247285592 0.18951427635136814
163 fast 0.231 -0.9149015400332507 -0.3564260247285592 0.18951427635136814
164 fast 0.282 -0.9149015400332507 -0.3564260247285592 0.18951427635136814
165 fast 0.334 -0.886987130221704 -0.40774025376731704 0.21679879215260833
166 fast 0.392 -0.874422882615109 -0.42837502256975 0.22777063550301968
167 fast 0.442 -0.8391761714215903 -0.4801996653842019 0.2553265256159302
168 fast 0.492 -0.8087011271707248 -0.5193672154489234 0.27615246229144985
169 fast 0.542 -0.7639193320090165 -0.5697763250541364 0.3029557617717493
170 fast 0.592 -0.7142788381999624 -0.6179405632697418 0.3285653687861613
171 fast 0.644 -0.7056326965418199 -0.6256368844308748 0.3326574610778302
172 fast 0.694 -0.7056326965418199 -0.6256368844308748 0.3326574610778302
173 fast 0.761 -0.7056326965418199 -0.6256368844308748 0.3326574610778302
174 fast 0.811 -0.6045554154137983 -0.703323001692553 0.37396457717814224
175 fast 0.861 -0.5641123049229769 -0.7290475533490074 0.38764284127313964
176 fast 0.911 -0.5010910596413976 -0.7640973590830287 0.4062794306752468
177 fast 0.961 -0.4574254856752507 -0.7851585926980168 0.4174780345925168
178 fast 1.011 -0.40119022065553167 -0.8087745891735626 0.43003496457555734
179 fast 1.062 -0.40119022065553167 -0.8087745891735626 0.43003496457555734
180 fast 1.112 -0.40119022065553167 -0.8087745891735626 0.43003496457555734
181 fast 1.162 -0.40119022065553167 -0.8087745891735626 0.43003496457555734
182 fast 1.213 -0.2732721277804909 -0.8493387726086905 0.4516038014918455
183 fast 1.263 -0.24847333019197224 -0.8552561875978043 0.45475032463867526
184 fast 1.314 -0.13690544128361162 -0.8746327174969611 0.46505323311511404
185 fast 1.364 -0.11190820705598208 -0.8774002355189958 0.46652479023598115
186 fast 1.414 -0.04853388875408303 -0.8819058319940255 0.46892063842118525
187 fast 1.464 -0.023325922091828814 -0.8827061212913064 0.4693461460302229
188 fast 1.52 -0.023325922091828814 -0.8827061212913064 0.4693461460302229
189 fast 1.57 -0.023325922091828814 -0.8827061212913064 0.4693461460302229
190 fast 1.623 0.11590445397311018 -0.8769955308131724 0.4663099789656202
191 fast 1.674 0.16796962344551228 -0.8704014300065923 0.46280401493726464
192 fast 1.724 0.2673695301474367 -0.8508015956107015 0.4523827795739172
193 fast 1.776 0.3040082366636887 -0.8411556467255445 0.44725403298613803
194 fast 1.826 0.34060203879357387 -0.8301524613755806 0.44140360447296506
195 fast 1.876 0.34060203879357387 -0.8301524613755806 0.44140360447296506
196 fast 1.926 0.34060203879357387 -0.8301524613755806 0.44140360447296506
197 fast 1.976 0.34060203879357387 -0.8301524613755806 0.44140360447296506
198 fast 2.026 0.4800222448487086 -0.7745698100484196 0.41184979520689524
199 fast 2.077 0.5027716590432529 -0.7632352767416622 0.4058233251058559
200 fast 2.162 0.567685165746978 -0.726881238602736 0.3864934896711436
201 fast 2.213 0.60896099881303 -0.7003525641308903 0.37238795340333464
202 fast 2.263 0.60896099881303 -0.7003525641308903 0.37238795340333464
203 fast 2.313 0.60896099881303 -0.7003525641308903 0.37238795340333464
204 fast 2.363 0.60896099881303 -0.7003525641308903 0.37238795340333464
205 fast 2.415 0.7138914376865056 -0.6182880840720885 0.3287534947226572
206 fast 2.465 0.7492325438071801 -0.584780749889073 0.31093740505026973
207 fast 2.515 0.7980625863701071 -0.5320401745258126 0.28289461098931906
208 fast 2.566 0.8280000832233713 -0.4950917864992449 0.2632489033653826
209 fast 2.618 0.8351255264037815 -0.48567212818960787 0.2582400802520477
210 fast 2.669 0.8351255264037815 -0.48567212818960787 0.2582400802520477
211 fast 2.719 0.8351255264037815 -0.48567212818960787 0.2582400802520477
212 fast 2.769 0.8351255264037815 -0.48567212818960787 0.2582400802520477
213 fast 2.82 0.9093870336730951 -0.36726148601053504 0.1952798604070126
214 fast 2.871 0.9203632924764715 -0.3452879583192104 0.18359639348750836
215 fast 2.921 0.9600488101430662 -0.247076202859695 0.13137591911502494
216 fast 2.972 0.9669595427173864 -0.2250884627532023 0.1196846969465328
217 fast 3.022 0.9813959442736294 -0.16952014269323645 0.09013834802422341
218 fast 3.074 0.9837681894544645 -0.158438487459875 0.08424603912892294
219 fast 3.124 0.9837681894544645 -0.158438487459875 0.08424603912892294
220 fast 3.174 0.9837681894544645 -0.158438487459875 0.08424603912892294
221 fast 3.224 0.9985768344211968 -0.04708834623109012 0.025039836392490022
222 fast 3.276 0.9999091072744978 0.011905223183064872 -0.006327942041318827
223 fast 3.326 0.9958087405962524 0.08075529499181068 -0.04293640044171679
224 fast 3.376 0.9931046463689198 0.10350980586946733 -0.05503527459119239
225 fast 3.426 0.9725948196320136 0.20529173779377843 -0.10915410765784948
226 fast 3.476 0.9662434406366642 0.22747505904204074 -0.12094920810175326
227 fast 3.526 0.9554895457575009 0.26049211070264017 -0.13850483099808442
228 fast 3.577 0.9554895457575009 0.26049211070264017 -0.13850483099808442
229 fast 3.627 0.9554895457575009 0.26049211070264017 -0.13850483099808442
230 fast 3.677 0.9554895457575009 0.26049211070264017 -0.13850483099808442
231 fast 3.727 0.8909286923979324 0.4009849131652504 -0.21320685841681314
232 fast 3.778 0.8640929736842651 0.44441621107211554 -0.23629973374041036
233 fast 3.829 0.8128494133306493 0.5142939755758894 -0.27345481881723305
234 fast 3.879 0.7814528720839342 0.5509276830126654 -0.2929336047674737
235 fast 3.929 0.7211597970721555 0.611678327920411 -0.3252355611542772
236 fast 3.979 0.6841778570037976 0.6439468055268214 -0.34239329963872395
237 fast 4.029 0.6746720278390272 0.65171893206941 -0.34652573992978153
238 fast 4.082 0.6746720278390272 0.65171893206941 -0.34652573992978153
239 fast 4.133 0.6746720278390272 0.65171893206941 -0.34652573992978153
240 fast 4.183 0.6746720278390272 0.65171893206941 -0.34652573992978153
241 fast 4.233 0.5182188187016136 0.7551386081987147 -0.4015158008736547
242 fast 4.284 0.47114018545956854 0.7788105659042874 -0.41410267818618
243 fast 4.335 0.37644461942850993 0.8179963583095251 -0.4349383936785522
244 fast 4.385 0.32771191712873915 0.8341882735212928 -0.44354799480030493
245 fast 4.435 0.22775844025010583 0.8597406189563827 -0.4571347296053267
246 fast 4.485 0.20235015483807314 0.864681197867618 -0.4597617218638685
247 fast 4.536 0.18963344038093657 0.8669254276051488 -0.4609549449359662
248 fast 4.586 0.18963344038093657 0.8669254276051488 -0.4609549449359662
249 fast 4.636 0.18963344038093657 0.8669254276051488 -0.4609549449359662
250 fast 4.686 0.0616702782462941 0.8812657670818295 -0.46858022210791117
251 fast 4.742 -0.033265594992281614 0.8824576094559936 -0.4692142023671305
252 fast 4.793 -0.08561358744104564 0.8797044474697407 -0.46775035943057547
253 fast 4.861 -0.16311988058380167 0.8711202450018558 -0.46318616484760533
254 fast 4.911 -0.2647679339679234 0.8514356989074474 -0.4527197717886242
255 fast 4.962 -0.31438943728704216 0.8381755148966445 -0.4456692584754773
256 fast 5.012 -0.31438943728704216 0.8381755148966445 -0.4456692584754773
257 fast 5.062 -0.31438943728704216 0.8381755148966445 -0.4456692584754773
258 fast 5.112 -0.31438943728704216 0.8381755148966445 -0.4456692584754773
259 fast 5.163 -0.4463483290724788 0.7901123971308208 -0.42011375725438266
260 fast 5.213 -0.505148005766188 0.7620111594970173 -0.40517216719865473
261 fast 5.263 -0.5274613820707995 0.7501322143205744 -0.3988560535612739
262 fast 5.313 -0.6235599606983542 0.6902653205120604 -0.36702419908263495
263 fast 5.364 -0.6535579280284671 0.6682807541755503 -0.3553348678496027
264 fast 5.414 -0.6535579280284671 0.6682807541755503 -0.3553348678496027
265 fast 5.464 -0.6535579280284671 0.6682807541755503 -0.3553348678496027
266 fast 5.514 -0.6535579280284671 0.6682807541755503 -0.3553348678496027
267 fast 5.564 -0.7542996656095252 0.5796803289795648 -0.3082251298247795
268 fast 5.615 -0.8053480118610813 0.5234118913151391 -0.2783066147638474
269 fast 5.665 -0.835317794193117 0.4854144024411218 -0.25810277140525667
270 fast 5.715 -0.8756811392589173 0.4263650045332836 -0.22670559158419007
271 fast 5.765 -0.8879541369536935 0.4060944713229071 -0.21592760598818767
272 fast 5.816 -0.8938471875490723 0.3958873769547781 -0.21050033272771532
273 fast 5.867 -0.8938471875490723 0.3958873769547781 -0.21050033272771532
274 fast 5.917 -0.8938471875490723 0.3958873769547781 -0.21050033272771532
275 fast 5.967 -0.8938471875490723 0.3958873769547781 -0.21050033272771532
276 fast 6.017 -0.9568362261302265 0.2566077577804137 -0.1364437430290401
277 fast 6.067 -0.9711494705384393 0.21055675115725614 -0.11195785106463185
278 fast 6.118 -0.9868689841435945 0.1426150745455621 -0.07583237203037746
279 fast 6.168 -0.9907414896934681 0.11986964152412082 -0.06373829022531322
280 fast 6.218 -0.9974727159739508 0.06273297303862826 -0.03335798227238545
281 fast 6.27 -0.9974727159739508 0.06273297303862826 -0.03335798227238545
282 fast 6.321 -0.9974727159739508 0.06273297303862826 -0.03335798227238545
283 fast 6.371 -0.9974727159739508 0.06273297303862826 -0.03335798227238545
284 fast 6.421 -0.9962961796573708 -0.0759235377258525 0.04036754661010212
285 fast 6.471 -0.9935876720124013 -0.09983054395307195 0.053079191016920685
286 fast 6.521 -0.98151891503074 -0.1689659788258626 0.0898393980183376
287 fast 6.572 -0.9761981791370964 -0.19149456258495987 0.1018182083412009
288 fast 6.622 -0.9600279771648162 -0.24714097112937958 0.13140632956619028
289 fast 6.673 -0.9600279771648162 -0.24714097112937958 0.13140632956619028
290 fast 6.723 -0.9600279771648162 -0.24714097112937958 0.13140632956619028
291 fast 6.773 -0.9600279771648162 -0.24714097112937958 0.13140632956619028
292 fast 6.823 -0.9600279771648162 -0.24714097112937958 0.13140632956619028
293 fast 6.874 -0.8987677690425633 -0.3871064780875767 0.20582777254997944
294 fast 6.924 -0.8670890034724157 -0.43984325215975256 0.23386871014897564
295 fast 6.974 -0.8537120733075257 -0.4597908235105943 0.24447514087206346
296 fast 7.024 -0.7865457418615867 -0.545248184091142 0.2899141488522395
297 fast 7.074 -0.7533129809628684 -0.5806809342120418 0.3087542798982184
298 fast 7.127 -0.7447100018154831 -0.5892684722773185 0.31332041231930347
299 fast 7.179 -0.7447100018154831 -0.5892684722773185 0.31332041231930347
300 fast 7.229 -0.7447100018154831 -0.5892684722773185 0.31332041231930347
301 fast 7.279 -0.7447100018154831 -0.5892684722773185 0.31332041231930347
302 fast 7.329 -0.5992280106837283 -0.7068679873070793 0.3758502889881291
303 fast 7.379 -0.5443899367788374 -0.7406440829377567 0.3938095213973664
304 fast 7.431 -0.4771420994818272 -0.7759564582613324 0.4125857387072451
305 fast 7.481 -0.41846538807715317 -0.801920794933833 0.42639155436538256
306 fast 7.531 -0.35845204323781216 -0.8242729196805756 0.43827649558229453
307 fast 7.581 -0.35845204323781216 -0.8242729196805756 0.43827649558229453
308 fast 7.631 -0.35845204323781216 -0.8242729196805756 0.43827649558229453
309 fast 7.681 -0.35845204323781216 -0.8242729196805756 0.43827649558229453
310 fast 7.732 -0.23477000507402776 -0.8582687461538578 0.4563527189499649
311 fast 7.783 -0.20781325308245005 -0.8636701935950999 0.4592248344097825
312 fast 7.861 -0.10263756227815277 -0.8782831695934015 0.4669948659445483
313 fast 7.911 -0.02463647965351885 -0.8826781186805318 0.4693318470686588
314 fast 7.962 0.001224726571744081 -0.8829453951924657 0.4694740984902627

42
docs/re/flight-speed-law.md
View File

@@ -342,3 +342,45 @@ Either that agreement was luck inside a noisy sample (the per-window rates spann
61–96), or angular integration is frame-based where linear is time-based. The check: 61–96), or angular integration is frame-based where linear is time-based. The check:
re-measure pitch and convert wall→game seconds with the clock ratio, expecting ~94 re-measure pitch and convert wall→game seconds with the clock ratio, expecting ~94
if the clock explanation is universal. if the clock explanation is universal.
---
# ✅ The clock factor applies to the ANGULAR side too — and it varies per run
The open question was whether the ~1.26× mission-clock factor explains only the
linear measurements. Measuring **both in the same run** settles it
([`tools/re-capture/pitch_gametime.py`](../../tools/re-capture/pitch_gametime.py):
HUD screenshots bracket each turn phase, so the mission clock's own advance converts
wall seconds to game seconds):
```
this run's clock: TIME 00:33.68 -> 00:44.12 = 10.44 s game in 7.96 s wall = 1.311
```
| phase | wall-time rate | ÷ 1.311 → game-time | definition |
|---|---|---|---|
| pitch, minimum speed | 88.9 °/s | **67.8 °/s** | `AV_PitchMinus_Min` **75** (0.90×) |
| pitch, maximum speed | 53.6 °/s | **40.9 °/s** | `AV_PitchMinus_Max` **40** (1.02×) |
So with the clock correction both land on the definition (the slow phase runs 10 %
low, consistent with the `AA_*` ramp being included in an 8 s window). **The clock
explanation is universal**: every rate the game states is per **game** second, and a
probe that divides by wall seconds reads high by that run's ratio.
**And the ratio is not a constant of the machine — it varies with scene load**:
1.260 in the earlier flight, **1.311** here. It has to be measured *in the same run*
as whatever it is correcting, which is why this probe brackets its own phases with
HUD screenshots.
Bonus confirmation from the same screenshots: at full `LT` the HUD reads **102**,
against `MinimumVelocity` **100** — the throttle law's lower endpoint, in the game's
own units.
## The trap that cost three runs: a dead emulator looks alive
A killed Canary leaves **both** its `/dev/shm/xenia_memory_*` image *and* its last
frame on the X display. So the screenshot shows a mission in progress, the memory
image still parses, and the scans quietly report `0 moving triples` / "player entity
not found" — which reads like a tooling bug. `pgrep -x xenia_canary` does **not**
help: zombies match it. `speed_law.require_live_emulator()` now checks the process
*state letter* and refuses to measure a corpse, naming the stale image in its error.

72
tools/re-capture/pitch_gametime.py Normal file
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@@ -0,0 +1,72 @@
#!/usr/bin/env python3
"""Is the clock factor universal, or does it apply only to linear motion?
The mission clock runs ~1.26x wall time, which fully explains the linear
measurements. Applied to the angular ones it predicts a wall-time pitch rate of
~94 deg/s for `AV_PitchMinus_Min` 75 — but the settled measurement read 74.9.
Either that was luck inside a noisy sample or angular integration is frame-based.
The flaw in comparing across runs is that the emulator's speed depends on scene
load, so the clock ratio is not a constant of the machine. This measures BOTH in
the same run: a HUD screenshot brackets each turn phase, so the mission clock's
own advance over that phase converts wall seconds to game seconds.
Usage: pitch_gametime.py <out.csv> [dwell_s] (then read the HUD TIME off the shots)
"""
import json, math, os, struct, subprocess, sys, time
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
import speed_law
def pad(*a):
subprocess.run(["vgamepad", *a], capture_output=True)
def shot(n):
subprocess.run(["screenshot", f"/sylph-home/re/shots/{n}.png"], capture_output=True)
def row_at(fd, off, cfg, row):
at = off + cfg["rot_delta"] + row * cfg["rot_stride"]
v = struct.unpack(">3f", os.pread(fd, 12, at))
n = math.sqrt(sum(c * c for c in v)) or 1.0
return tuple(c / n for c in v)
def ang(a, b):
return math.degrees(math.acos(max(-1.0, min(1.0, sum(a[i] * b[i] for i in range(3))))))
def main():
out_csv = sys.argv[1]
dwell = float(sys.argv[2]) if len(sys.argv) > 2 else 8.0
cfg = json.load(open("/tmp/nav-live.json"))
w, off, nm = speed_law.find_player()
if not w:
sys.exit("player entity not found after retries")
print(f"# locked on {nm}")
fwd = cfg.get("fwd_row", 0)
rows = []
for label, (trig, tv) in (("slow", ("LT", 1.0)), ("fast", ("RT", 1.0))):
pad("trig", "RT", "0.0"); pad("trig", "LT", "0.0"); pad("axis", "LY", "0.0")
pad("trig", trig, str(tv))
time.sleep(5.0)
shot(f"gt_{label}_a") # HUD TIME at the start of the phase
t0 = time.time()
pad("axis", "LY", "1.0") # nose down = PitchMinus
seq = []
while time.time() - t0 < dwell:
seq.append((round(time.time() - t0, 3), *row_at(w.fd, off, cfg, fwd)))
time.sleep(0.05)
pad("axis", "LY", "0.0")
wall = seq[-1][0]
shot(f"gt_{label}_b") # HUD TIME at the end
rows += [(label, *s) for s in seq]
total = sum(ang(seq[i][1:], seq[i + 1][1:]) for i in range(len(seq) - 1))
print(f"# {label:<5} wall {wall:5.2f}s swept {total:7.1f}deg "
f"rate {total / wall:6.1f} deg/wall-s "
f"(x1.26 -> {total / wall * 1.26:6.1f} deg/game-s if the clock applies)")
pad("trig", "RT", "0.0"); pad("trig", "LT", "0.0"); pad("reset")
with open(out_csv, "w") as f:
f.write("phase,t,fx,fy,fz\n")
for r in rows:
f.write(",".join(str(x) for x in r) + "\n")
print("# read HUD TIME off gt_slow_a/b and gt_fast_a/b to get the run's own ratio")
if __name__ == "__main__":
main()

33
tools/re-capture/speed_law.py
View File

@@ -14,18 +14,40 @@ position triple, which is why it survives a firefight.
Usage: speed_law.py <out.csv> [hold_s] Usage: speed_law.py <out.csv> [hold_s]
""" """
import os, struct, subprocess, sys, time import glob, os, struct, subprocess, sys, time
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
import gworld, entities2 import gworld, entities2
def require_live_emulator():
"""Refuse to measure a corpse.
A killed Canary leaves its `/dev/shm/xenia_memory_*` image behind AND leaves its
last frame on the X display, so a dead emulator looks alive from both of the
obvious angles: the screenshot shows a mission in progress and the memory image
still parses. The scans then report `0 moving triples` / "player entity not
found", which reads like a tooling bug rather than a dead game. Note `pgrep -x
xenia_canary` is NOT enough — zombies match it — so the state letter is checked.
"""
out = subprocess.run(["ps", "-o", "pid=,stat=", "-C", "xenia_canary"],
capture_output=True, text=True).stdout
live = [l for l in out.splitlines() if l.split()[1:2] and not l.split()[1].startswith("Z")]
if not live:
stale = glob.glob("/dev/shm/xenia_memory_*")
sys.exit(f"no live xenia_canary (zombies only); {len(stale)} stale shm image(s) "
f"— the screen and the memory file are both leftovers, relaunch first")
def find_player(retries=8): def find_player(retries=8):
"""Lock onto the player object that is actually FLYING. """Lock onto the player object that is actually FLYING.
Verifies the emulator is alive first — see `require_live_emulator`.
A mission holds more than one `*_Player` object — `entities2 list` shows two — A mission holds more than one `*_Player` object — `entities2 list` shows two —
and at least one of them never moves. Taking the first match locks onto that and at least one of them never moves. Taking the first match locks onto that
one, and then every probe reads a speed of exactly 0 while the game is visibly one, and then every probe reads a speed of exactly 0 while the game is visibly
flying (and the HUD keeps reading 350). So sample each candidate twice and keep flying (and the HUD keeps reading 350). So sample each candidate twice and keep
the one that displaces.""" the one that displaces."""
require_live_emulator()
for _ in range(retries): for _ in range(retries):
w = gworld.World() w = gworld.World()
defs = entities2.definitions(w) defs = entities2.definitions(w)
@@ -35,13 +57,18 @@ def find_player(retries=8):
best = None best = None
for off, nm in cands: for off, nm in cands:
a = pos_at(w.fd, off) a = pos_at(w.fd, off)
time.sleep(0.3) time.sleep(0.5)
b = pos_at(w.fd, off) b = pos_at(w.fd, off)
d = sum((b[i] - a[i]) ** 2 for i in range(3)) ** 0.5 d = sum((b[i] - a[i]) ** 2 for i in range(3)) ** 0.5
if best is None or d > best[0]: if best is None or d > best[0]:
best = (d, off, nm) best = (d, off, nm)
if best and best[0] > 0.5: # A craft can be briefly slow (launch, a hard turn), so do not demand a big
# step — just prefer the candidate that moves at all. The failure this
# guards against is the STATIC duplicate, which never moves by any amount.
if best and best[0] > 0.05:
return w, best[1], best[2] return w, best[1], best[2]
print(f"# {len(cands)} player candidates, best displacement "
f"{best[0] if best else 0:.3f} — retrying", flush=True)
time.sleep(2) time.sleep(2)
return None, None, None return None, None, None