Embedded newform data - 810.5.d.c.161.12

Formats: - HTML - YAML - JSON - 2024-11-10T21:43:28.654791

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 20250, 'analytic_conductor': 83.72967009791391, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 3, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [810, 2, [731, 487], [1, 2]], 'cm_discs': [], 'conrey_index': 161, 'dim': 32, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [-68412222281873958773126000, -10268413269734098970369600, 138039758881478716092360, 58845418224527562109520, 631774404571818673889, -118706441636155531656, -2091647290581900470, 104725969516052092, 2046720062081583, -46213387518848, -923380821860, 10590314136, 210696827, -1195696, -23430, 52, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007405497058090, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '810.5.d.c', 'level': 810, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '90.5.h.a', 'prim_orbit_index': 2, 'related_objects': [], 'relative_dim': 32, 'rm_discs': [], 'sato_tate_group': '4.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '810.5.d', 'trace_display': [0, 0, 0, -104], 'traces': [32, 0, 0, -256, 0, 0, -104, 0, 0, 0, 0, 0, 40, 0, 0, 2048, 0, 0, -200, 0, 0, 1344, 0, 0, -4000, 0, 0, 832, 0, 0, -1472, 0, 0, -384, 0, 0, -4136, 0, 0, 0, 0, 0, -272, 0, 0, -2112, 0, 0, 22296, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 0, -12344, 0, 0, -16384, 0, 0, 40936, 0, 0, 4800, 0, 0, -41432, 0, 0, 1600, 0, 0, -14048, 0, 0, -17664, 0, 0, -17400, 0, 0, -10752, 0, 0, 69392, 0, 0, 1344, 0, 0, 36664, 0, 0, 32000, 0, 0, -26936, 0, 0, 0, 0, 0, -29480, 0, 0, -6656, 0, 0, 0, 0, 0, 39360, 0, 0, -27544, 0, 0, 11776, 0, 0, -23360, 0, 0, 0, 0, 0, -35176, 0, 0, 3072, 0, 0, -100568, 0, 0, 0, 0, 0, 26400, 0, 0, 33088, 0, 0, 57472, 0, 0, -29184, 0, 0, 70432, 0, 0, 0, 0, 0, 106168, 0, 0, -131136, 0, 0, -48096, 0, 0, 2176, 0, 0, 13000, 0, 0, 291072, 0, 0, -26120, 0, 0, 16896, 0, 0, -76200, 0, 0, 0, 0, 0, -340016, 0, 0, -178368, 0, 0, 200272, 0, 0, -139776, 0, 0, 37200, 0, 0, 2560, 0, 0, 260560, 0, 0, -42240, 0, 0, 61784, 0, 0, 0, 0, 0, 75712, 0, 0, -225792, 0, 0, 231064, 0, 0, 0, 0, 0, -93000, 0, 0, 0, 0, 0, 19936, 0, 0, 98752, 0, 0, -160096, 0, 0, 0, 0, 0, 128568, 0, 0, 131072, 0, 0, -100768, 0, 0, 178560, 0, 0, 0, 0, 0, -327488, 0, 0, -793184, 0, 0, 199296, 0, 0, 212104, 0, 0, -38400, 0, 0, 254296, 0, 0, 97536, 0, 0, -165688, 0, 0, 331456, 0, 0, -117600, 0, 0, 56832, 0, 0, 717344, 0, 0, -12800, 0, 0, -281600, 0, 0, 0, 0, 0, -301280, 0, 0, 112384, 0, 0, -505248, 0, 0, -221184, 0, 0, -5000, 0, 0, 141312, 0, 0, 233728, 0, 0, -357312, 0, 0, 101416, 0, 0, 139200, 0, 0, 82208, 0, 0, 528000, 0, 0, 443368, 0, 0, 86016, 0, 0, -164400, 0, 0, -238464, 0, 0, 280872, 0, 0, -555136, 0, 0, -846056, 0, 0, 163200, 0, 0, -779408, 0, 0, -10752, 0, 0, 222376, 0, 0, -143616, 0, 0, 382200, 0, 0, -293312, 0, 0, -365520, 0, 0, 278016, 0, 0, 879040, 0, 0, -256000, 0, 0, 1319840, 0, 0, 1045056, 0, 0, 528136, 0, 0, 215488, 0, 0, -206400, 0, 0, -1171584, 0, 0, -982880, 0, 0, 0, 0, 0, 170816, 0, 0, -547200, 0, 0, -11840, 0, 0, 235840, 0, 0, 408064, 0, 0, -1623168, 0, 0, -133200, 0, 0, 53248, 0, 0, 186264, 0, 0, 760512, 0, 0, -51728, 0, 0, 0, 0, 0, 778984, 0, 0, 136704, 0, 0, 313736, 0, 0, -314880, 0, 0, 25000, 0, 0, 396672, 0, 0, -2263216, 0, 0, 220352, 0, 0, -1204232, 0, 0, 0, 0, 0, -200280, 0, 0, -94208, 0, 0, 982552, 0, 0, 1142976, 0, 0, 1340400, 0, 0, 186880, 0, 0, 13856, 0, 0, 1005312, 0, 0, -909480, 0, 0, 0, 0, 0, 1682176, 0, 0, -1741056, 0, 0, -2263240, 0, 0, 281408, 0, 0, 0, 0, 0, 120192, 0, 0, -552056, 0, 0, -24576, 0, 0, 1406032, 0, 0, -168000, 0, 0, 1610720, 0, 0, 804544, 0, 0, -2475280, 0, 0, 2419968, 0, 0, 0, 0, 0, 0, 0, 0, 445624, 0, 0, -972480, 0, 0, 496360, 0, 0, -211200, 0, 0, -1405632, 0, 0, -138240, 0, 0, -3675376, 0, 0, -264704, 0, 0, -678000, 0, 0, 731520, 0, 0, 185032, 0, 0, -459776, 0, 0, 761056, 0, 0, 537600, 0, 0, -864680, 0, 0, 233472, 0, 0, 3283912, 0, 0, 1517568, 0, 0, 500000, 0, 0, -563456, 0, 0, 1966096, 0, 0, -1173504, 0, 0, -1101840, 0, 0, 0, 0, 0, -1354568, 0, 0, -3022656, 0, 0, -16584, 0, 0, -849344, 0, 0, -142800, 0, 0, -1992192, 0, 0, 3950464, 0, 0, 1049088, 0, 0, 463992, 0, 0, 945600, 0, 0, 1146040, 0, 0, 384768, 0, 0, 3799040, 0, 0, -801792, 0, 0, -931200, 0, 0, -17408, 0, 0, 1607296, 0, 0, -1654848, 0, 0, 3519648, 0, 0, -104000, 0, 0, -4498000, 0, 0, 562944, 0, 0, -3071096, 0, 0, -2328576, 0, 0, 848400, 0, 0, 1809408, 0, 0, -4683808, 0, 0, 208960, 0, 0, -3639968, 0, 0, 0, 0, 0, -52208, 0, 0, -135168, 0, 0, 6386200, 0, 0, -2065152, 0, 0, 612000, 0, 0, 609600, 0, 0, 411760, 0, 0, 455808, 0, 0, 3297880, 0, 0, 0, 0, 0, -5001856, 0, 0, 181248, 0, 0, 1222744, 0, 0, 2720128, 0, 0, 184000, 0, 0, 2350080, 0, 0, 3697056, 0, 0, 1426944, 0, 0, -10981256, 0, 0, 0, 0, 0, 1798664, 0, 0, -1602176, 0, 0, -3778512, 0, 0, 1454208, 0, 0, 505200, 0, 0, 1118208, 0, 0, -237848, 0, 0, -58368, 0, 0, 6245912, 0, 0, -297600, 0, 0, 1919968, 0, 0, 3143808, 0, 0, -4032008, 0, 0, -20480, 0, 0, -3295800, 0, 0, 3374592, 0, 0, -1585480, 0, 0, -2084480, 0, 0, 1692184, 0, 0, 48000, 0, 0, 2603128, 0, 0, 337920, 0, 0, -3746792, 0, 0, -3843072, 0, 0, -3978000, 0, 0, -494272, 0, 0, 2239088, 0, 0, -771072, 0, 0, 2522632, 0, 0, 0, 0, 0, -1115816, 0, 0, 709632, 0, 0, 5538344, 0, 0, -605696, 0, 0, -1699200, 0, 0, -2856576, 0, 0, 5610432, 0, 0, 1806336, 0, 0, 636328, 0, 0, 2726400, 0, 0, -8815560, 0, 0, -1848512, 0, 0, 3565456, 0, 0, -1925376, 0, 0, 517000, 0, 0, 0, 0, 0, -7862616, 0, 0, 1550016, 0, 0, 4822096, 0, 0, 744000, 0, 0, 4670496, 0, 0, -1811328, 0, 0, -2215696, 0, 0, 0, 0, 0, 0, 0, 0, 1071360, 0, 0, -6577056, 0, 0, -159488, 0, 0, 8728168, 0, 0, -883200, 0, 0, -1740256, 0, 0, -790016, 0, 0, 4078944, 0, 0, -2052672, 0, 0, 1177200, 0, 0, 1280768, 0, 0, -1725776, 0, 0, -2058624, 0, 0, -4781744, 0, 0, 0], 'weight': 5, 'weight_parity': -1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.7071067811865476], [0.0, 0.0], [-0.5, 0.0], [0.0, -0.4472135954999579], [0.0, 0.0], [0.44454238464452, 0.0], [0.0, -0.3535533905932738], [0.0, 0.0], [0.31622776601683794, 0.0], [0.0, -0.07774132741706731], [0.0, 0.0], [-0.34722309762419656, 0.0], [0.0, 0.31433893470697866], [0.0, 0.0], [0.25, 0.0], [0.0, -1.4196530895555382], [0.0, 0.0], [1.1368889875085488, 0.0], [0.0, 0.22360679774997896], [0.0, 0.0], [0.05497141979505196, 0.0], [0.0, 1.2330238502667712], [0.0, 0.0], [-0.2, 0.0], [0.0, -0.24552380691466796], [0.0, 0.0], [-0.22227119232226, 0.0], [0.0, -0.2700311853642185], [0.0, 0.0], [-1.4255209298855842, 0.0], [0.0, 0.1767766952966369], [0.0, 0.0], [1.003846326557154, 0.0], [0.0, -0.1988053981890011], [0.0, 0.0], [0.40806636294695436, 0.0], [0.0, 0.8039019125236031], [0.0, 0.0], [-0.15811388300841897, 0.0], [0.0, -0.37834611693421416], [0.0, 0.0], [0.5794388354238384, 0.0], [0.0, 0.038870663708533655], [0.0, 0.0], [-0.87187952588838, 0.0], [0.0, -0.4115732961348334], [0.0, 0.0], [-0.8023820682545636, 0.0], [0.0, -0.1414213562373095], [0.0, 0.0], [0.17361154881209828, 0.0], [0.0, -0.6386994785292945], [0.0, 0.0], [-0.03476697855312613, 0.0], [0.0, -0.15716946735348933], [0.0, 0.0], [0.1909408823028805, 0.0], [0.0, 1.2193127843637421], [0.0, 0.0], [0.7987118427583539, 0.0], [0.0, -1.0079955162454495], [0.0, 0.0], [-0.125, 0.0], [0.0, 0.15528288992914985], [0.0, 0.0], [-1.2188477899887888, 0.0], [0.0, 0.7098265447777691], [0.0, 0.0], [0.14057664519593444, 0.0], [0.0, 1.2870198872847214], [0.0, 0.0], [-0.046463839705263944, 0.0], [0.0, 0.2885464924139224], [0.0, 0.0], [-0.5684444937542744, 0.0], [0.0, -0.0345593150754135], [0.0, 0.0], [-1.8694922243984027, 0.0], [0.0, -0.11180339887498948], [0.0, 0.0], [0.26753110491978127, 0.0], [0.0, -1.2120728880301552], [0.0, 0.0], [-0.6348881625427559, 0.0], [0.0, 0.40972512981103204], [0.0, 0.0], [-0.02748570989752598, 0.0], [0.0, -1.8248240992062834], [0.0, 0.0], [-0.1543553838215173, 0.0], [0.0, -0.6165119251333856], [0.0, 0.0], [0.2910262686522398, 0.0], [0.0, -0.5084322117880049], [0.0, 0.0], [-1.6847815531173154, 0.0], [0.0, -0.5673698015652892], [0.0, 0.0], [0.1, 0.0], [0.0, -0.9745313153831926], [0.0, 0.0], [-0.18119101221986877, 0.0], [0.0, 0.12276190345733398], [0.0, 0.0], [0.45162873240837587, 0.0], [0.0, 0.31368265082568536], [0.0, 0.0], [0.6697050284416031, 0.0], [0.0, -0.02458396629628275], [0.0, 0.0], [0.11113559616113, 0.0], [0.0, -1.5824708102536669], [0.0, 0.0], [0.5514250294150045, 0.0], [0.0, 0.13501559268210925], [0.0, 0.0], [-0.8621843382110526, 0.0], [0.0, -0.6310959697989792], [0.0, 0.0], [0.9939562860114324, 0.0], [0.0, 0.5647745602284355], [0.0, 0.0], [0.7127604649427921, 0.0], [0.0, 0.08944271909999159], [0.0, 0.0], [-0.6177239988806095, 0.0], [0.0, -0.08838834764831845], [0.0, 0.0], [-0.1098015844711461, 0.0], [0.0, -1.7692154730077165], [0.0, 0.0], [0.5053953415831443, 0.0], [0.0, -0.8618555375353096], [0.0, 0.0], [-0.501923163278577, 0.0], [0.0, 0.45659869522751406], [0.0, 0.0], [-0.6100943742832958, 0.0], [0.0, 0.09940269909450054], [0.0, 0.0], [-0.9100604898209727, 0.0], [0.0, 0.02699358451917099], [0.0, 0.0], [-0.12076161730384778, 0.0], [0.0, -0.032854896135556894], [0.0, 0.0], [-0.20403318147347718, 0.0], [0.0, -1.1809118902504965], [0.0, 0.0], [-0.7355197493515452, 0.0], [0.0, -0.40195095626180155], [0.0, 0.0], [0.02443712604298737, 0.0], [0.0, 0.6375123405145755], [0.0, 0.0], [0.6256834222959331, 0.0], [0.0, -1.3219306292476334], [0.0, 0.0], [0.07905694150420949, 0.0], [0.0, 0.548131362721158], [0.0, 0.0], [-0.4793692716090108, 0.0], [0.0, 0.18917305846710708], [0.0, 0.0], [0.8570649584184857, 0.0], [0.0, -0.26295549680447744], [0.0, 0.0], [-0.8794361204762576, 0.0], [0.0, -0.44893372502904977], [0.0, 0.0], [-0.2897194177119192, 0.0], [0.0, 0.026770690624570534], [0.0, 0.0], [-0.088908476928904, 0.0], [0.0, -0.019435331854266828], [0.0, 0.0], [1.2903454950213962, 0.0], [0.0, -0.14009129272458576], [0.0, 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-0.4482677654497322, 0.10434628341077784, -0.18461688836614995, -0.35429960686191847, 0.11126124411489205, -0.25369780756435234, -0.4421865729550507, -0.3963792762791695, -0.31710878745406296, -0.4094262431564958, -0.418997169234221, -0.2644385195455751, 0.025065563144915624, -0.19565675093685847, -0.35471913235627633, -0.2999740629956255, -0.3272130894066203, 0.036658244124692166, -0.29933611894335166, -0.3994739718662965, -0.3099375809086983, -0.1993595307548395, -0.2885220224077193, -0.47901390530962507, 0.0021304074912916067, -0.4888427527849638, -0.20634454622127918, -0.31819765165893876, -0.2716928064563501, 0.05554748461641572, -0.154500155064725, -0.11077420188500335, -0.21377974001317535, -0.33709120603949166, -0.3148246983414373, -0.35373163223669285, 0.09268795666571965, -0.3991319231678617, -0.48776066970505405, -0.4558878766601356, 0.14152567747113526, -0.459847728251001, -0.2640661395176451, -0.10364713769866168, -0.44703788768041314, -0.37044490797058416, 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0.03368106063106432, 0.04447486895568803, -0.19061103909968255, -0.28585761216893685, -0.11291781113710624, 0.03222776112667901, -0.1579450465674805, -0.11528248730301087, 0.12452907219496073, -0.06377515218991935, -0.39606766562199547, 0.04388990692165522, -0.42921531733750823, -0.22215506270071617, -0.14385380550870588, -0.4933176438858339, 0.10761237809129834, -0.23632467991297404, -0.39564879208820714, -0.310338145255222, -0.4358626515190677, -0.0686951673499217, -0.13954360642130004, -0.23324645172334524, -0.492619243861143, -0.156895433858114, -0.30963563586377274, -0.39165572913091257, -0.28754718930956147, 0.17383736106612013, -0.34221029286715576, -0.4512275683649595, -0.3279526166025218, -0.22892580553248773, 0.029330753623749737, -0.1398635881767268, -0.49672979338423595, -0.2120890725498167, -0.44345284008522623, -0.384790037385898, 0.04398704164279624, -0.2539047156812069, -0.443635896891221, -0.25050450266613483, -0.36673300536933184, -0.20434921465159842, -0.3506753127750842, -0.1719735512416636, 0.0071037700260212595, -0.4022762958423886, 0.04762352872617431, -0.33598017869841074, -0.3416306018595683, 0.05012071412773325, 0.020027279800175195, -0.09846245817005447, 0.06594870598917724, -0.4796158113305237, 0.016804421488552528, -0.19082090510528862, -0.254872475486043], 'char_orbit_index': 4, 'conrey_index': 161, 'dual_conrey_index': 161, 'dual_embedding_index': 11, 'dual_embedding_m': 11, 'embedding_index': 12, 'embedding_m': 12, 'hecke_orbit': 3, 'hecke_orbit_code': 9007405497058090, 'label': '810.5.d.c.161.12', 'level': 810, 'weight': 5}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 20250, 'analytic_conductor': 83.72967009791391, 'char_conductor': 3, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [810, 2, [731, 487], [1, 2]], 'conrey_index': 161, 'cusp_dim': 624, 'dim': 64, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [7], 'hecke_orbit_code': 206242317098, 'hecke_orbit_dims': [16, 16, 32], 'label': '810.5.d', 'level': 810, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 672, 'mf_new_dim': 64, 'num_forms': 3, 'prim_orbit_index': 2, 'relative_dim': 64, 'sturm_bound': 810, 'trace_bound': 7, 'trace_display': [0, 0, 0, 104], 'traces': [64, 0, 0, -512, 0, 0, 104, 0, 0, 0, 0, 0, -40, 0, 0, 4096, 0, 0, -1432, 0, 0, 1344, 0, 0, -8000, 0, 0, -832, 0, 0, 1472, 0, 0, -384, 0, 0, 4136, 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0, 0, -257728, 0, 0, -871744, 0, 0, 301440, 0, 0, 315944, 0, 0, -38400, 0, 0, 269960, 0, 0, -84864, 0, 0, 273880, 0, 0, 244544, 0, 0, 117600, 0, 0, 131328, 0, 0, 467248, 0, 0, -91648, 0, 0, -1013344, 0, 0, 0, 0, 0, -185104, 0, 0, -172672, 0, 0, -379584, 0, 0, 301056, 0, 0, 5000, 0, 0, 141312, 0, 0, 612128, 0, 0, 22848, 0, 0, 38696, 0, 0, 139200, 0, 0, 490096, 0, 0, -393600, 0, 0, -685240, 0, 0, 86016, 0, 0, -164400, 0, 0, -534144, 0, 0, 344520, 0, 0, -386048, 0, 0, 146456, 0, 0, -163200, 0, 0, -193264, 0, 0, 121344, 0, 0, 202664, 0, 0, 525312, 0, 0, 221400, 0, 0, 186944, 0, 0, 347760, 0, 0, -283392, 0, 0, -132208, 0, 0, -512000, 0, 0, 260944, 0, 0, 1606464, 0, 0, -376888, 0, 0, -193600, 0, 0, -452400, 0, 0, -428160, 0, 0, -40048, 0, 0, -227328, 0, 0, -250544, 0, 0, -547200, 0, 0, 437312, 0, 0, 744896, 0, 0, 1634912, 0, 0, -658560, 0, 0, -548400, 0, 0, -53248, 0, 0, 593784, 0, 0, 134592, 0, 0, -948304, 0, 0, 249600, 0, 0, -1188424, 0, 0, -303360, 0, 0, -643448, 0, 0, -493056, 0, 0, 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-3927832, 0, 0, 0, 0, 0, 3299912, 0, 0, -1619712, 0, 0, -379736, 0, 0, 909440, 0, 0, 4800, 0, 0, -1764480, 0, 0, 6443280, 0, 0, 1806336, 0, 0, 8929352, 0, 0, 1363200, 0, 0, -3968712, 0, 0, -1148224, 0, 0, -659392, 0, 0, 3671808, 0, 0, -517000, 0, 0, 0, 0, 0, -7254216, 0, 0, -1261632, 0, 0, -444736, 0, 0, 744000, 0, 0, 8946576, 0, 0, -6602880, 0, 0, -11133488, 0, 0, -67584, 0, 0, -3084000, 0, 0, 3985152, 0, 0, -6761616, 0, 0, 1143296, 0, 0, 3859928, 0, 0, 883200, 0, 0, 1789744, 0, 0, -666112, 0, 0, 6582384, 0, 0, -2579520, 0, 0, -392400, 0, 0, 1287040, 0, 0, 4268240, 0, 0, -4682112, 0, 0, -3557152, 0, 0, 0], 'weight': 5, 'weight_parity': -1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 40774531
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 161, 'source_dim': 32, 'source_embedding_index': 12, 'source_hecke_orbit_code': 9007405497058090, 'source_is_minimal': False, 'source_label': '810.5.d.c.161.12', 'source_level': 810, 'target_conrey_index': 161, 'target_dim': 32, 'target_embedding_index': 12, 'target_hecke_orbit_code': 9007405497058090, 'target_is_minimal': False, 'target_label': '810.5.d.c.161.12', 'target_level': 810, 'twist_class_label': '90.5.h.a.11.2', 'twist_class_level': 90, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 5}
  • id: 40774532
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 161, 'source_dim': 32, 'source_embedding_index': 12, 'source_hecke_orbit_code': 9007405497058090, 'source_is_minimal': False, 'source_label': '810.5.d.c.161.12', 'source_level': 810, 'target_conrey_index': 161, 'target_dim': 32, 'target_embedding_index': 11, 'target_hecke_orbit_code': 9007405497058090, 'target_is_minimal': False, 'target_label': '810.5.d.c.161.11', 'target_level': 810, 'twist_class_label': '90.5.h.a.11.2', 'twist_class_level': 90, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 5}
  • id: 40774533
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 161, 'source_dim': 32, 'source_embedding_index': 12, 'source_hecke_orbit_code': 9007405497058090, 'source_is_minimal': False, 'source_label': '810.5.d.c.161.12', 'source_level': 810, 'target_conrey_index': 41, 'target_dim': 32, 'target_embedding_index': 2, 'target_hecke_orbit_code': 481120223322, 'target_is_minimal': True, 'target_label': '90.5.h.a.41.2', 'target_level': 90, 'twist_class_label': '90.5.h.a.11.2', 'twist_class_level': 90, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 5}
  • id: 40774534
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 161, 'source_dim': 32, 'source_embedding_index': 12, 'source_hecke_orbit_code': 9007405497058090, 'source_is_minimal': False, 'source_label': '810.5.d.c.161.12', 'source_level': 810, 'target_conrey_index': 11, 'target_dim': 32, 'target_embedding_index': 2, 'target_hecke_orbit_code': 481120223322, 'target_is_minimal': True, 'target_label': '90.5.h.a.11.2', 'target_level': 90, 'twist_class_label': '90.5.h.a.11.2', 'twist_class_level': 90, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 5}
  • id: 40774535
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 161, 'source_dim': 32, 'source_embedding_index': 12, 'source_hecke_orbit_code': 9007405497058090, 'source_is_minimal': False, 'source_label': '810.5.d.c.161.12', 'source_level': 810, 'target_conrey_index': 251, 'target_dim': 32, 'target_embedding_index': 12, 'target_hecke_orbit_code': 481120223502, 'target_is_minimal': False, 'target_label': '270.5.h.a.251.12', 'target_level': 270, 'twist_class_label': '90.5.h.a.11.2', 'twist_class_level': 90, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 5}
  • id: 40774536
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 161, 'source_dim': 32, 'source_embedding_index': 12, 'source_hecke_orbit_code': 9007405497058090, 'source_is_minimal': False, 'source_label': '810.5.d.c.161.12', 'source_level': 810, 'target_conrey_index': 71, 'target_dim': 32, 'target_embedding_index': 12, 'target_hecke_orbit_code': 481120223502, 'target_is_minimal': False, 'target_label': '270.5.h.a.71.12', 'target_level': 270, 'twist_class_label': '90.5.h.a.11.2', 'twist_class_level': 90, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 5}
• hecke_orbit_code 9007405497058090 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 4, 'hecke_orbit': 3, 'label': '810.5.d.c', 'level': 810, 'portrait': 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', 'weight': 5}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 30336391
    {'hecke_orbit_code': 9007405497058090, 'n': 1, 'trace_an': 32}
  • id: 30336392
    {'hecke_orbit_code': 9007405497058090, 'n': 2, 'trace_an': 0}
  • id: 30336393
    {'hecke_orbit_code': 9007405497058090, 'n': 3, 'trace_an': 0}
  • id: 30336394
    {'hecke_orbit_code': 9007405497058090, 'n': 4, 'trace_an': -256}
  • id: 30336395
    {'hecke_orbit_code': 9007405497058090, 'n': 5, 'trace_an': 0}
  • id: 30336396
    {'hecke_orbit_code': 9007405497058090, 'n': 6, 'trace_an': 0}
  • id: 30336397
    {'hecke_orbit_code': 9007405497058090, 'n': 7, 'trace_an': -104}
  • id: 30336398
    {'hecke_orbit_code': 9007405497058090, 'n': 8, 'trace_an': 0}
  • id: 30336399
    {'hecke_orbit_code': 9007405497058090, 'n': 9, 'trace_an': 0}
  • id: 30336400
    {'hecke_orbit_code': 9007405497058090, 'n': 10, 'trace_an': 0}
  • id: 30336401
    {'hecke_orbit_code': 9007405497058090, 'n': 11, 'trace_an': 0}
  • id: 30336402
    {'hecke_orbit_code': 9007405497058090, 'n': 12, 'trace_an': 0}
  • id: 30336403
    {'hecke_orbit_code': 9007405497058090, 'n': 13, 'trace_an': 40}
  • id: 30336404
    {'hecke_orbit_code': 9007405497058090, 'n': 14, 'trace_an': 0}
  • id: 30336405
    {'hecke_orbit_code': 9007405497058090, 'n': 15, 'trace_an': 0}
  • id: 30336406
    {'hecke_orbit_code': 9007405497058090, 'n': 16, 'trace_an': 2048}
  • id: 30336407
    {'hecke_orbit_code': 9007405497058090, 'n': 17, 'trace_an': 0}
  • id: 30336408
    {'hecke_orbit_code': 9007405497058090, 'n': 18, 'trace_an': 0}
  • id: 30336409
    {'hecke_orbit_code': 9007405497058090, 'n': 19, 'trace_an': -200}
  • id: 30336410
    {'hecke_orbit_code': 9007405497058090, 'n': 20, 'trace_an': 0}
  • id: 30336411
    {'hecke_orbit_code': 9007405497058090, 'n': 21, 'trace_an': 0}
  • id: 30336412
    {'hecke_orbit_code': 9007405497058090, 'n': 22, 'trace_an': 1344}
  • id: 30336413
    {'hecke_orbit_code': 9007405497058090, 'n': 23, 'trace_an': 0}
  • id: 30336414
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  • id: 30336611
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  • id: 30336614
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  • id: 30336616
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  • id: 30336618
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  • id: 30336621
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  • id: 30336622
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  • id: 30336623
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  • id: 30336625
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  • id: 30336627
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  • id: 30336628
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  • id: 30336630
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  • id: 30336632
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  • id: 30336634
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  • id: 30336635
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  • id: 30336636
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  • id: 30336637
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  • id: 30336638
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  • id: 30336639
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  • id: 30336640
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  • id: 30336641
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  • id: 30336648
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