Newform data - 27.16.a.c

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• 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': 6912, 'analytic_conductor': 38.52724637697851, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1]], 'atkin_lehner_string': '+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [27, 1, [2], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 5, 'field_disc': 605006066447569660, 'field_disc_factorization': [[2, 2], [5, 1], [311, 1], [1024021, 1], [94986193, 1]], 'field_poly': [342288, -343807, -72162, -3470, -2, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-191201762304, 1213667712, 21593520, -92358, -273, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199523176475, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 217338111360, 'hecke_ring_index_factorization': [[2, 7], [3, 14], [5, 1], [71, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '27.16.a.c', 'level': 27, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3], 'level_radical': 3, 'minimal_twist': '27.16.a.b', 'prim_orbit_index': 1, 'qexp_display': 'q+(55-\\beta _{1})q^{2}+(19109-70\\beta _{1}-\\beta _{2}+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 5, 'rm_discs': [], 'sato_tate_group': '15.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '27.16.a', 'trace_display': [273, 0, -16725, 2153539], 'trace_hash': 1313877501237037491, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.080', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.762', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.330', 'prec': 17}, {'__RealLiteral__': 0, 'data': '60.494', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1137.444', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [5, 273, 0, 95405, -16725, 0, 2153539, 13315731, 0, -30467925, 115943493, 0, 65408428, 885109227, 0, 1597063649, 1975444272, 0, -263500334, -15752098605, 0, 15874285977, -10719254334, 0, 65878470860, 51424383876, 0, 121134553795, 286370793390, 0, -300406709951, 625606682931, 0, 822965721624, 244477120485, 0, 112184696098, 1764566464506, 0, -4498792795755, 2894246258082, 0, 1139498878582, 12717942305061, 0, -457487589726, 15070114266798, 0, -2056340352918, 42624872351220, 0, 485820206164, 23527241658009, 0, -4705777789605, 68598287921541, 0, 47931112265094, 32938855380780, 0, -20198107823912, 4988384282481, 0, 53228069199833, 54515008918020, 0, 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'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0, 0, 0, 0], [55, -1, 0, 0, 0], [0, 0, 0, 0, 0], [19109, -70, -1, 0, 0], [-3393, 121, 2, 1, 0], [0, 0, 0, 0, 0], [431966, -3143, -4, 2, -1], [2669692, -16376, -119, -13, -3], [0, 0, 0, 0, 0], [-6117476, 59943, 580, 221, 11], [23204478, -39376, -1370, 83, 21], [0, 0, 0, 0, 0], [13160131, -195828, 602, 277, -17], [177257320, -588833, -9980, -127, 39], [0, 0, 0, 0, 0], [321006866, -3990668, -16221, -5477, -299], [396259357, -2928588, -13258, -2705, -747], [0, 0, 0, 0, 0], [-49788953, -7277494, 15810, 1253, 1925], [-3158014403, 19008490, 183601, 22982, 2394], [0, 0, 0, 0, 0], [3200477171, -64039521, 78080, 8140, -4556], [-2143689635, -476852, 85954, -75079, -2613], [0, 0, 0, 0, 0], [13239656215, -159784328, -47878, 122333, 3107], [10284629164, 671020, -191504, 53936, 3888], [0, 0, 0, 0, 0], [24375811589, -372454278, -705471, -201906, 594], [57327296563, -132486790, -843726, 346437, -22971], [0, 0, 0, 0, 0], [-60046710889, -86685317, 3888194, -99319, 16490], [125238097706, 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36834567519409604169, -20016079671434632710], [78191373929431319139111170, -187866925343824268861392, -638775188184415988698, -383913695863683721373, 12748556567473799781], [-26600874541445701746413331, -69388272076565584372266, 55699737348781352598, 162306616525819363767, 13832449272120943359], [-14621977294666231701532942, -288862389820965172088496, -587585621550535526916, -287505333541335506970, 31759211553220902858], [-36720668899829347632686087, -414857296623652585796404, -1284705976417163541090, 315949526104788243351, -22999967900341996995]], 'char_orbit_index': 1, 'field_poly': [342288, -343807, -72162, -3470, -2, 1], 'hecke_orbit_code': 9007199523176475, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 76960, 76960, 15392, 76960], 'hecke_ring_inverse_denominators': [1, 1656288, 103518, 1656288, 207036], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0], [736465, -184652, 450, 223, 1], [143796218, -75205, -9, 866, 44], [78836545783, -560255060, 1924974, 953977, 19591], [1081199708557, -2220988010, 5074488, 8317711, 323617]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0], [-15417776, -7510725, -509991, -1509, 153], [-2865538992, -703403145, -16205907, 155607, 3501], [-1313859920, -914713875, -84777729, -340467, 25983], [-149155163152, 77034917655, 7648967853, 30957687, -2294739]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 5, 'label': '27.16.a.c', 'level': 27, 'maxp': 2999, 'weight': 16}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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

  
  {'ALdims': [11, 9], 'ALdims_eis_new': [0, 0], 'ALdims_eis_old': [3, 3], 'ALdims_old': [11, 11], 'Nk2': 6912, 'analytic_conductor': 38.52724637697851, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [27, 1, [2], [1]], 'conrey_index': 1, 'cusp_dim': 42, 'dim': 20, 'eis_dim': 6, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 268435483, 'hecke_orbit_dims': [4, 5, 5, 6], 'label': '27.16.a', 'level': 27, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3], 'level_radical': 3, 'mf_dim': 48, 'mf_new_dim': 20, 'num_forms': 4, 'plus_dim': 11, 'prim_orbit_index': 1, 'relative_dim': 20, 'sturm_bound': 48, 'trace_bound': 2, 'trace_display': [0, 0, 0, 6141100], 'traces': [20, 0, 0, 300710, 0, 0, 6141100, 0, 0, -41534154, 0, 0, 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58083309528597189712224, 0, 0, -105142047124004740325318, 0, 0, 8631910699922984485950, 0, 0, 38455224631077017165710, 0, 0, 72136668861381684259044, 0, 0, 11393080508551855874130, 0, 0, 54354257679330799684478, 0, 0, -20899639955703707451046, 0, 0, -113418006199951143471480, 0, 0, 18683175660781684178866, 0, 0, -167885542992876963309666, 0, 0, 73710522535263168115786, 0, 0, 80662595961487391980488, 0, 0, 23349899399421373252910, 0, 0, -97060715833846000479872, 0, 0, 66566084157415658358018, 0, 0, 6420268387243406758428, 0, 0, -42553479542206153942080, 0, 0, -92841179562554335809300, 0, 0, -85010298402497112274154, 0, 0, 91091287729403988757704, 0, 0, 42091357315365522548730, 0, 0, 177690183631959936834292, 0, 0, -30800593799271669060086, 0, 0, 117134115591956828153238, 0, 0, -12781585354464384670742, 0, 0, 41259371351304924827028, 0, 0, -148094986063229556905220, 0, 0, 56289466677885757002162, 0, 0, 139563935957974771084396, 0, 0, -149642557226285490903420, 0, 0, -48744959794616651678424, 0, 0, -85917105999919383438420, 0, 0, 36469287924541677851498, 0, 0, 308022598589349963404304, 0, 0, 121196491589838418236216, 0, 0, -333906693107039036546580, 0, 0, -70561407255904852805730, 0, 0, 137557699773811320599464, 0, 0, -72780865518398333630000, 0, 0, 381084015064691603311146, 0, 0, 90880890455813454220274, 0, 0, 86751670967226362968744, 0, 0, -87089456041199222119380, 0, 0, -233880366511640101132458, 0, 0, -340599629309899894501554, 0, 0, -61956167824877812674292, 0, 0, 146227634962426965271540, 0, 0, -235639365487170960706704, 0, 0, 30469959683252024113876, 0, 0, -322291414132647265875834], 'weight': 16, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 22337
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 5, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '27.16.a.c', 'source_level': 27, 'target_char_orbit': 1, 'target_dim': 5, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '27.16.a.b', 'target_level': 27, 'twist_class_label': '27.16.a.b', 'twist_class_level': 27, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 16}
  • id: 22338
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 5, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '27.16.a.c', 'source_level': 27, 'target_char_orbit': 1, 'target_dim': 5, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '27.16.a.c', 'target_level': 27, 'twist_class_label': '27.16.a.b', 'twist_class_level': 27, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 16}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 104425
    {'charpoly_factorization': [[[-191201762304, 1213667712, 21593520, -92358, -273, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 2}
  • id: 104426
    {'charpoly_factorization': [[[0, 1], 5]], 'hecke_orbit_code': 9007199523176475, 'p': 3}
  • id: 104427
    {'charpoly_factorization': [[[37939782970249529874328125, 1156374345411503987625, -7443075075224850, -109093317930, 16725, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 5}
  • id: 104428
    {'charpoly_factorization': [[[-14957756271186658315895339796875, 19432408409759102553301625, 13053189383325686350, -8521868486138, -2153539, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 7}
  • id: 104429
    {'charpoly_factorization': [[[-671609544698663091306749980236927650625, -12282715184021950181743515015675, 959519977670536696708470, -6113521072156662, -115943493, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 11}
  • id: 104430
    {'charpoly_factorization': [[[-758493544619140171013464081434469760000, 31783838433825324856165899142400, 511749675332648111831680, -14026179390226016, -65408428, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 13}
  • id: 104431
    {'charpoly_factorization': [[[4724198003082501338764445151483275316293271552, 10842644350826725855859579232646262784, 3530048458913348840156077056, -5571104458753078272, -1975444272, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 17}
  • id: 104432
    {'charpoly_factorization': [[[37112565089139836641724972855963268660483392224, 118649492405780710453520577574026377744, 57257563093159794728456129680, -39612886820618103176, 263500334, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 19}
  • id: 104433
    {'charpoly_factorization': [[[-242471241021599703463613219930876030859396151652256, 54253161477638351003363904616320568274256, 370664951414042643049498530672, -577276736713792871832, 10719254334, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 23}
  • id: 104434
    {'charpoly_factorization': [[[4496830037807745860008461517895112570817276141698420000, -242832336334332091365340239652145464208290800, 2660886814373150791391701440297840, 11884244949979248078072, -286370793390, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 29}
  • id: 104435
    {'charpoly_factorization': [[[-1909621088820404494035745483227202603940055054169604921, -275043488444465563414668796918486433153475751, -9858309206061431175987096536468102, -21783162635792235961178, 300406709951, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 31}
  • id: 104436
    {'charpoly_factorization': [[[-38836669110860297277286855259039904795762527130143215940000, 188379470362498226339856579250092167720568779600, 148630016015455761106814073554251120, -881454904793031351438104, -112184696098, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 37}
  • id: 104437
    {'charpoly_factorization': [[[-325761143853926011154348691268794086177881195404548133780000, -518700077750839246242231364872531456951497545200, 2466578566895061148776623348254049040, 787165036698110779903608, -2894246258082, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 41}
  • id: 104438
    {'charpoly_factorization': [[[-72401802530699455795604318759772623280654800309954913020000, 1738037369558241112107750910582183929617254643600, -2076661147187603135191397890283398160, -7475672898836134524899816, -1139498878582, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 43}
  • id: 104439
    {'charpoly_factorization': [[[76932516423185385915484526978630269387650853640195700048036000, 27255862938324747460264755989159294842824856564560, -137544031272089516082194407687400882160, 76187834458926352145106408, -15070114266798, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 47}
  • id: 104440
    {'charpoly_factorization': [[[-19144819125223148246580472012111823748620923435100559237410540481, -4817224345664639905962659367032235922067449895454135, 1370498484611019440639840208614201872602, 64436529063558188986785846, -23527241658009, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 53}
  • id: 104441
    {'charpoly_factorization': [[[-4858862844782687933398259836373964334310643504933851876275608960000, 161940625832744012610353483763441078814448770361836800, 26860458640951043086310077881089863854720, -805392638863280718191715168, -32938855380780, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 59}
  • id: 104442
    {'charpoly_factorization': [[[-1028564852480453741069761276157149185143343355937795747256494686208, 186823085087769905477003949329190398356858996252037120, -2002076764346989637951091503307655187456, -932198918171626534661541248, 20198107823912, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 61}
  • id: 104443
    {'charpoly_factorization': [[[-448483560812054720454478530344646385304172545338375658217709587500000, 17663225115324695296245118334936898013268505213100730000, 417226881046820830427060555362455226020400, -8456734667702989684533526952, -63021911290318, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 67}
  • id: 104444
    {'charpoly_factorization': [[[-6046599912109821734505320915166472654635832799285057296310278717440000, 156135091815546099751821287752324642392542201667416371200, 575801527606962398686605540894293107399680, -25140437209425136345303064832, -2034300387888, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 71}
  • id: 104445
    {'charpoly_factorization': [[[2522560397774486722045566892540008578902108879666288021528275240124375, 68687424899796299385598850229886636544335686557700997925, -836195622555473396573725806448914249259130, -16776532870779938972241336278, 67077230062931, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 73}
  • id: 104446
    {'charpoly_factorization': [[[27483911181735611619749540109057979634955263936459443667514332503932928, 1086914208029804631691497179192822613641431497528459259904, -4748705799074201610003774935613601191707648, -65827515178954971795165882368, 107382054455360, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 79}
  • id: 104447
    {'charpoly_factorization': [[[-193825737339847354586117240890689435303457593882802308432837216804548121, -3285455572330332851792999778067656560130404268283618929435, -3201124867323950832427630090213181284985370, 154253253468079202996187991530, 754356450391395, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 83}
  • id: 104448
    {'charpoly_factorization': [[[-16607733874841799587263191132569134632250501065056550764914835605921500000, -129094960712071139353480288263381199448894478415186416006000, -243461937684867422183504404032498242113501200, 323277447873739827834062125272, 1353618746250426, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 89}
  • id: 104449
    {'charpoly_factorization': [[[-3478643702053645438261353416158684378772648848991347448092028519348699375, -186249116103135717596635222590948949625336315153737736729275, -974640317188347693314469401186707380327457430, -1161642849801565783457081045174, 702219406917653, 1], 1]], 'hecke_orbit_code': 9007199523176475, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 3, 'label': '27.16.a.c', 'level': 27, 'portrait': 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', 'weight': 16}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29346187
    {'hecke_orbit_code': 9007199523176475, 'n': 1, 'trace_an': 5}
  • id: 29346188
    {'hecke_orbit_code': 9007199523176475, 'n': 2, 'trace_an': 273}
  • id: 29346189
    {'hecke_orbit_code': 9007199523176475, 'n': 3, 'trace_an': 0}
  • id: 29346190
    {'hecke_orbit_code': 9007199523176475, 'n': 4, 'trace_an': 95405}
  • id: 29346191
    {'hecke_orbit_code': 9007199523176475, 'n': 5, 'trace_an': -16725}
  • id: 29346192
    {'hecke_orbit_code': 9007199523176475, 'n': 6, 'trace_an': 0}
  • id: 29346193
    {'hecke_orbit_code': 9007199523176475, 'n': 7, 'trace_an': 2153539}
  • id: 29346194
    {'hecke_orbit_code': 9007199523176475, 'n': 8, 'trace_an': 13315731}
  • id: 29346195
    {'hecke_orbit_code': 9007199523176475, 'n': 9, 'trace_an': 0}
  • id: 29346196
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