Newform data - 140.10.a.c

Formats: - HTML - YAML - JSON - 2024-05-17T00:40:00.168327

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 14000, 'analytic_conductor': 72.10501706294224, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, 1], [7, -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': [140, 1, [71, 57, 101], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 4, 'field_disc': 891109320697324, 'field_disc_factorization': [[2, 2], [2144617, 1], [103877443, 1]], 'field_poly': [-162558, -193749, -9593, -1, 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': [[3, [601271640, 563607, -51909, -43, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199422513292, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 480, 'hecke_ring_index_factorization': [[2, 5], [3, 1], [5, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '140.10.a.c', 'level': 140, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 7], 'level_radical': 70, 'minimal_twist': '140.10.a.c', 'prim_orbit_index': 1, 'qexp_display': 'q+(11+\\beta _{1})q^{3}-5^{4}q^{5}+7^{4}q^{7}+(6743+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '140.10.a', 'trace_display': [0, 43, -2500, 9604], 'trace_hash': 1103371917376492750, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.033', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.186', 'prec': 17}, {'__RealLiteral__': 0, 'data': '43.615', 'prec': 20}, {'__RealLiteral__': 0, 'data': '15.074', 'prec': 20}, {'__RealLiteral__': 0, 'data': '708.646', 'prec': 24}], 'trace_zratio': 0, 'traces': [4, 0, 43, 0, -2500, 0, 9604, 0, 26935, 0, -89509, 0, -26951, 0, -26875, 0, -97685, 0, 57614, 0, 103243, 0, 704846, 0, 1562500, 0, 3392209, 0, 6396351, 0, -2177396, 0, -1814697, 0, -6002500, 0, -4832420, 0, -20266753, 0, -33404930, 0, -23422170, 0, -16834375, 0, -30030109, 0, 23059204, 0, -101036823, 0, -29121822, 0, 55943125, 0, 46465094, 0, 187841888, 0, -320985014, 0, 64670935, 0, 16844375, 0, -257915784, 0, -342824850, 0, 95380960, 0, -274354616, 0, 16796875, 0, -214911109, 0, -369481275, 0, -1415449364, 0, -87594732, 0, 61053125, 0, -971702439, 0, -1556249690, 0, -64709351, 0, -1709587660, 0, -36008750, 0, -3692761793, 0, -1570184394, 0, -1052897556, 0, -2451448897, 0, -64526875, 0, -1511712850, 0, -3927905183, 0, -4828899274, 0, 664333460, 0, -440528750, 0, -471729772, 0, -234541685, 0, 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• 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, 0, 0, 0], [11, 1, 0, 0], [0, 0, 0, 0], [-625, 0, 0, 0], [0, 0, 0, 0], [2401, 0, 0, 0], [0, 0, 0, 0], [6743, 37, 1, -6], [0, 0, 0, 0], [-22378, -3, -11, 8], [0, 0, 0, 0], [-6788, -201, 25, 17], [0, 0, 0, 0], [-6875, -625, 0, 0], [0, 0, 0, 0], [-24659, -951, 8, 220], [0, 0, 0, 0], [14516, 450, -44, -417], [0, 0, 0, 0], [26411, 2401, 0, 0], [0, 0, 0, 0], [175400, -3246, -176, 347], [0, 0, 0, 0], [390625, 0, 0, 0], [0, 0, 0, 0], [845837, -8861, 184, -1158], [0, 0, 0, 0], [1596561, -10107, 446, -1065], [0, 0, 0, 0], [-548288, -15756, -562, 1199], [0, 0, 0, 0], [-461625, -31803, 816, 3876], [0, 0, 0, 0], [-1500625, 0, 0, 0], [0, 0, 0, 0], [-1219670, -46260, 1926, 1481], [0, 0, 0, 0], [-5068163, -5899, -3540, -3657], [0, 0, 0, 0], [-8356082, -19398, -356, -12257], [0, 0, 0, 0], [-5873148, -70422, -2372, 9349], [0, 0, 0, 0], [-4214375, -23125, -625, 3750], [0, 0, 0, 0], [-7515688, -32643, 6589, 3809], [0, 0, 0, 0], [5764801, 0, 0, 0], [0, 0, 0, 0], [-25294128, 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3313846124580, -362832948748, 155159524444], [1952675192388032, 4748319158337, -701224662467, 815180067068], [-927590124644106, -6434476095420, 119022345946, 1209369923266], [1801981981391912, 2114206783212, 19538172132, -476252710948], [1063388391678687, 3185406300141, 984881363570, 693349458448], [-3253803577304944, 2292356913648, -119460616946, -1593908331940], [-494670831578682, 17409843056970, 467013199110, -1544368131945], [1351098453318052, -10951342311168, 212574147680, -1303637762992], [867430608892692, 5764505236260, -1005704313832, -28579469567], [-505313272175842, -323307324858, 212191140990, 3153010739264], [1074209367657831, -18055333924443, 39588790238, 1022778442557], [-3992895075903692, 13502991500004, -9743074108, 585573537602], [-98488758730038, 1454187450600, 527238972956, 416843435586], [1419208930774022, 18309699377337, -598501242337, 1059718080179], [-177882271007311, 15659849918715, 286263157384, -707317142677], [-3944682567556002, -4753583486340, 394537389976, 153446805988], [-461201503848642, 1852786448034, 717159644972, 2934958753830], [1166080764508572, 8573001159756, -437147308524, -867766229130], [-3427091071431181, 1047050611443, -516445290912, -2645520206472], [-3695905988815500, 12794569513065, -101315082057, 1575827292621], [-1702704233411894, 3166683462948, 838965379590, -70064717996], [1076932558046976, -1109759464344, 1416322158810, -1413121520628], [1280653920304900, -12032918806632, 398131014934, 1233323622311], [5773270734260250, 6877737385320, -150539646760, -503457281049]], 'char_orbit_index': 1, 'field_poly': [-162558, -193749, -9593, -1, 1], 'hecke_orbit_code': 9007199422513292, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 525, 105, 1575], 'hecke_ring_inverse_denominators': [1, 120, 60, 120], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [21, -36, 1, 3], [287733, -288, 73, -51], [18208173, -370548, 10753, 23079]], 'hecke_ring_numerators': [[1, 0, 0, 0], [68763, 8271, 17, -1], [-198579, 18922, 104, -2], [3457338, 266146, 92, -26]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '140.10.a.c', 'level': 140, 'maxp': 2999, 'weight': 10}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[2, -1], [5, -1], [7, -1]], 5, 2], [[[2, -1], [5, -1], [7, 1]], 4, 1], [[[2, -1], [5, 1], [7, -1]], 4, 1], [[[2, -1], [5, 1], [7, 1]], 5, 1]], 'ALdims': [0, 0, 0, 0, 5, 4, 4, 5], 'Nk2': 14000, 'analytic_conductor': 72.10501706294224, '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': [140, 1, [71, 57, 101], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 210, 'dim': 18, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 167772300, 'hecke_orbit_dims': [1, 4, 4, 4, 5], 'label': '140.10.a', 'level': 140, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 7], 'level_radical': 70, 'mf_dim': 222, 'mf_new_dim': 18, 'num_forms': 5, 'plus_dim': 8, 'prim_orbit_index': 1, 'relative_dim': 18, 'sturm_bound': 240, 'trace_bound': 3, 'trace_display': [0, 292, 0, 0], 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• 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

  
  {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '140.10.a.c', 'source_level': 140, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '140.10.a.c', 'target_level': 140, 'twist_class_label': '140.10.a.c', 'twist_class_level': 140, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 378925
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007199422513292, 'p': 2}
  • id: 378926
    {'charpoly_factorization': [[[601271640, 563607, -51909, -43, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 3}
  • id: 378927
    {'charpoly_factorization': [[[625, 1], 4]], 'hecke_orbit_code': 9007199422513292, 'p': 5}
  • id: 378928
    {'charpoly_factorization': [[[-2401, 1], 4]], 'hecke_orbit_code': 9007199422513292, 'p': 7}
  • id: 378929
    {'charpoly_factorization': [[[1618393952316298500, -115443386771985, -757092441, 89509, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 11}
  • id: 378930
    {'charpoly_factorization': [[[-28663266597672087118, -1610586268941851, -22261113183, 26951, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 13}
  • id: 378931
    {'charpoly_factorization': [[[7282694414576559115350, 13756591343397375, -246087724611, 97685, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 17}
  • id: 378932
    {'charpoly_factorization': [[[156267578347813843736896, 29130582293565304, -805370763252, -57614, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 19}
  • id: 378933
    {'charpoly_factorization': [[[45475454328448140165888, 1318230007308360504, -1722527388036, -704846, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 23}
  • id: 378934
    {'charpoly_factorization': [[[-56487585952116747248684958, 45134845936594837011, 345602864817, -6396351, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 29}
  • id: 378935
    {'charpoly_factorization': [[[8202868450557716112555008, 19769689512218164096, -26023086208416, 2177396, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 31}
  • id: 378936
    {'charpoly_factorization': [[[-6270596570464432497104410000, -2371823171388103659920, -224650902199584, 4832420, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 37}
  • id: 378937
    {'charpoly_factorization': [[[31050438409637462075223027456, -5041387361233848919680, -224897431719432, 33404930, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 41}
  • id: 378938
    {'charpoly_factorization': [[[4479038683797909210439576800, 1777040188159499803672, -554627352369468, 23422170, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 43}
  • id: 378939
    {'charpoly_factorization': [[[-204530763882733631081967993912, -34724668954504644721665, -1112025400690533, 30030109, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 47}
  • id: 378940
    {'charpoly_factorization': [[[8318047824092691040880947651200, -97663581421235879220576, -5859264574818072, 29121822, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 53}
  • id: 378941
    {'charpoly_factorization': [[[23720491240838631879042170880000, 1217241508876332000952320, -5037418528743168, -187841888, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 59}
  • id: 378942
    {'charpoly_factorization': [[[-73402990535290673834776306374400, -498500727508818939462560, 25202613701413248, 320985014, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 61}
  • id: 378943
    {'charpoly_factorization': [[[518698523551441619153912259628800, -14848030311554255793764480, -69457972200965376, 257915784, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 67}
  • id: 378944
    {'charpoly_factorization': [[[112960187206470738969349010227200, -1235508245101130109419520, -53417692004603904, -95380960, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 71}
  • id: 378945
    {'charpoly_factorization': [[[-46292228394252120118904221634800, -1117214377933428449753120, 7036482318277848, 274354616, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 73}
  • id: 378946
    {'charpoly_factorization': [[[-2152176193529397641390719333740648, -126489894543403016882812439, -308085047133656949, 369481275, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 79}
  • id: 378947
    {'charpoly_factorization': [[[-2184883614143915835376830258109440, -58314807921189530168093376, -373968914899018320, 87594732, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 83}
  • id: 378948
    {'charpoly_factorization': [[[-12080167903902877750340284729109760, 61059113428847917749300864, 710917279125666648, 1556249690, 1], 1]], 'hecke_orbit_code': 9007199422513292, 'p': 89}
  • id: 378949
    {'charpoly_factorization': [[[615812701209104314817000074645932446, 2901135988030078858716029227, 4977747068271845709, 3692761793, 1], 1]], 'hecke_orbit_code': 9007199422513292, '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': '140.10.a.c', 'level': 140, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 113189000
    {'hecke_orbit_code': 9007199422513292, 'n': 1, 'trace_an': 4}
  • id: 113189001
    {'hecke_orbit_code': 9007199422513292, 'n': 2, 'trace_an': 0}
  • id: 113189002
    {'hecke_orbit_code': 9007199422513292, 'n': 3, 'trace_an': 43}
  • id: 113189003
    {'hecke_orbit_code': 9007199422513292, 'n': 4, 'trace_an': 0}
  • id: 113189004
    {'hecke_orbit_code': 9007199422513292, 'n': 5, 'trace_an': -2500}
  • id: 113189005
    {'hecke_orbit_code': 9007199422513292, 'n': 6, 'trace_an': 0}
  • id: 113189006
    {'hecke_orbit_code': 9007199422513292, 'n': 7, 'trace_an': 9604}
  • id: 113189007
    {'hecke_orbit_code': 9007199422513292, 'n': 8, 'trace_an': 0}
  • id: 113189008
    {'hecke_orbit_code': 9007199422513292, 'n': 9, 'trace_an': 26935}
  • id: 113189009
    {'hecke_orbit_code': 9007199422513292, 'n': 10, 'trace_an': 0}
  • id: 113189010
    {'hecke_orbit_code': 9007199422513292, 'n': 11, 'trace_an': -89509}
  • id: 113189011
    {'hecke_orbit_code': 9007199422513292, 'n': 12, 'trace_an': 0}
  • id: 113189012
    {'hecke_orbit_code': 9007199422513292, 'n': 13, 'trace_an': -26951}
  • id: 113189013
    {'hecke_orbit_code': 9007199422513292, 'n': 14, 'trace_an': 0}
  • id: 113189014
    {'hecke_orbit_code': 9007199422513292, 'n': 15, 'trace_an': -26875}
  • id: 113189015
    {'hecke_orbit_code': 9007199422513292, 'n': 16, 'trace_an': 0}
  • id: 113189016
    {'hecke_orbit_code': 9007199422513292, 'n': 17, 'trace_an': -97685}
  • id: 113189017
    {'hecke_orbit_code': 9007199422513292, 'n': 18, 'trace_an': 0}
  • id: 113189018
    {'hecke_orbit_code': 9007199422513292, 'n': 19, 'trace_an': 57614}
  • id: 113189019
    {'hecke_orbit_code': 9007199422513292, 'n': 20, 'trace_an': 0}
  • id: 113189020
    {'hecke_orbit_code': 9007199422513292, 'n': 21, 'trace_an': 103243}
  • id: 113189021
    {'hecke_orbit_code': 9007199422513292, 'n': 22, 'trace_an': 0}
  • id: 113189022
    {'hecke_orbit_code': 9007199422513292, 'n': 23, 'trace_an': 704846}
  • id: 113189023
    {'hecke_orbit_code': 9007199422513292, 'n': 24, 'trace_an': 0}
  • id: 113189024
    {'hecke_orbit_code': 9007199422513292, 'n': 25, 'trace_an': 1562500}
  • id: 113189025
    {'hecke_orbit_code': 9007199422513292, 'n': 26, 'trace_an': 0}
  • id: 113189026
    {'hecke_orbit_code': 9007199422513292, 'n': 27, 'trace_an': 3392209}
  • id: 113189027
    {'hecke_orbit_code': 9007199422513292, 'n': 28, 'trace_an': 0}
  • id: 113189028
    {'hecke_orbit_code': 9007199422513292, 'n': 29, 'trace_an': 6396351}
  • id: 113189029
    {'hecke_orbit_code': 9007199422513292, 'n': 30, 'trace_an': 0}
  • id: 113189030
    {'hecke_orbit_code': 9007199422513292, 'n': 31, 'trace_an': -2177396}
  • id: 113189031
    {'hecke_orbit_code': 9007199422513292, 'n': 32, 'trace_an': 0}
  • id: 113189032
    {'hecke_orbit_code': 9007199422513292, 'n': 33, 'trace_an': -1814697}
  • id: 113189033
    {'hecke_orbit_code': 9007199422513292, 'n': 34, 'trace_an': 0}
  • id: 113189034
    {'hecke_orbit_code': 9007199422513292, 'n': 35, 'trace_an': -6002500}
  • id: 113189035
    {'hecke_orbit_code': 9007199422513292, 'n': 36, 'trace_an': 0}
  • id: 113189036
    {'hecke_orbit_code': 9007199422513292, 'n': 37, 'trace_an': -4832420}
  • id: 113189037
    {'hecke_orbit_code': 9007199422513292, 'n': 38, 'trace_an': 0}
  • id: 113189038
    {'hecke_orbit_code': 9007199422513292, 'n': 39, 'trace_an': -20266753}
  • id: 113189039
    {'hecke_orbit_code': 9007199422513292, 'n': 40, 'trace_an': 0}
  • id: 113189040
    {'hecke_orbit_code': 9007199422513292, 'n': 41, 'trace_an': -33404930}
  • id: 113189041
    {'hecke_orbit_code': 9007199422513292, 'n': 42, 'trace_an': 0}
  • id: 113189042
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    {'hecke_orbit_code': 9007199422513292, 'n': 983, 'trace_an': 1890590677489}
  • id: 113189983
    {'hecke_orbit_code': 9007199422513292, 'n': 984, 'trace_an': 0}
  • id: 113189984
    {'hecke_orbit_code': 9007199422513292, 'n': 985, 'trace_an': -19098309648750}
  • id: 113189985
    {'hecke_orbit_code': 9007199422513292, 'n': 986, 'trace_an': 0}
  • id: 113189986
    {'hecke_orbit_code': 9007199422513292, 'n': 987, 'trace_an': -8278441602837}
  • id: 113189987
    {'hecke_orbit_code': 9007199422513292, 'n': 988, 'trace_an': 0}
  • id: 113189988
    {'hecke_orbit_code': 9007199422513292, 'n': 989, 'trace_an': 68617427258388}
  • id: 113189989
    {'hecke_orbit_code': 9007199422513292, 'n': 990, 'trace_an': 0}
  • id: 113189990
    {'hecke_orbit_code': 9007199422513292, 'n': 991, 'trace_an': -89212465193504}
  • id: 113189991
    {'hecke_orbit_code': 9007199422513292, 'n': 992, 'trace_an': 0}
  • id: 113189992
    {'hecke_orbit_code': 9007199422513292, 'n': 993, 'trace_an': -33033789027124}
  • id: 113189993
    {'hecke_orbit_code': 9007199422513292, 'n': 994, 'trace_an': 0}
  • id: 113189994
    {'hecke_orbit_code': 9007199422513292, 'n': 995, 'trace_an': -12148000550000}
  • id: 113189995
    {'hecke_orbit_code': 9007199422513292, 'n': 996, 'trace_an': 0}
  • id: 113189996
    {'hecke_orbit_code': 9007199422513292, 'n': 997, 'trace_an': -16712652774709}
  • id: 113189997
    {'hecke_orbit_code': 9007199422513292, 'n': 998, 'trace_an': 0}
  • id: 113189998
    {'hecke_orbit_code': 9007199422513292, 'n': 999, 'trace_an': 41960008211618}
  • id: 113189999
    {'hecke_orbit_code': 9007199422513292, 'n': 1000, 'trace_an': 0}