Newform data - 414.6.a.o

Formats: - HTML - YAML - JSON - 2024-05-12T05:20:12.804448

• 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': 14904, 'analytic_conductor': 66.39890140257398, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [23, 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': [414, 1, [47, 235], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 4, 'field_disc': 22215428237576, 'field_disc_factorization': [[2, 3], [7, 1], [17, 1], [239, 1], [8353, 1], [11689, 1]], 'field_poly': [-370980, -182616, -8369, -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': [[5, [-9068808, -613004, -9218, 54, 1]]], 'hecke_orbit': 15, 'hecke_orbit_code': 63050394883850654, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], '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': False, 'label': '414.6.a.o', 'level': 414, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 23], 'level_radical': 138, 'minimal_twist': '138.6.a.i', 'prim_orbit_index': 1, 'qexp_display': 'q-4q^{2}+2^{4}q^{4}+(-13+\\beta _{1})q^{5}+(87+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '414.6.a', 'trace_display': [-16, 0, -54, 348], 'trace_hash': 2187493457427679591, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.051', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.792', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.957', 'prec': 17}, {'__RealLiteral__': 0, 'data': '39.660', 'prec': 20}, {'__RealLiteral__': 0, 'data': '22.997', 'prec': 20}, {'__RealLiteral__': 0, 'data': '619.303', 'prec': 24}], 'trace_zratio': 0, 'traces': [4, -16, 0, 64, -54, 0, 348, -256, 0, 216, 6, 0, 1248, -1392, 0, 1024, 56, 0, 1530, -864, 0, -24, -2116, 0, 8852, -4992, 0, 5568, -2292, 0, 1556, -4096, 0, -224, -5688, 0, -9586, -6120, 0, 3456, 11768, 0, 13758, 96, 0, 8464, -10636, 0, 11360, -35408, 0, 19968, -26686, 0, -28900, -22272, 0, 9168, 9108, 0, -37878, -6224, 0, 16384, 72212, 0, -23302, 896, 0, 22752, -31728, 0, -28340, 38344, 0, 24480, 121276, 0, -26668, -13824, 0, -47072, 119026, 0, -217876, -55032, 0, -384, 148236, 0, 89008, -33856, 0, 42544, 399292, 0, -16092, -45440, 0, 141632, 151092, 0, -136664, -79872, 0, 106744, 416714, 0, -153366, 115600, 0, 89088, 327204, 0, 28566, -36672, 0, -36432, 546204, 0, 48416, 151512, 0, 24896, 525732, 0, 109488, -65536, 0, -288848, 440852, 0, 143536, 93208, 0, -3584, 555168, 0, 366568, -91008, 0, 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575131136, -579937144, 0, -2141780, -86745600, 0, 81711888, 1543494124, 0, 1624002124, -1858778640, 0, 439837696, 82868792, 0, -1196299220, -264695168, 0, 395005896, -127173216, 0, -507047094, 152800592, 0, 413841408, -156780616, 0, 962484064, 849812544, 0, 209724400, -187514036, 0], 'weight': 6, '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

  
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846272, 1810300, -863664], [1378114, 4589334, -837152, -762216], [-45654468, 1195675, 611087, 1252407]], 'char_orbit_index': 1, 'field_poly': [-370980, -182616, -8369, -1, 1], 'hecke_orbit_code': 63050394883850654, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 12684, 12684, 3171], 'hecke_ring_inverse_denominators': [1, 2, 2, 2], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, -1, 1, 0], [8376, 40, 56, -27], [282036, -7963, 8419, -921]], 'hecke_ring_numerators': [[1, 0, 0, 0], [-16554, 58579, 307, -9], [-16554, 83947, 307, -9], [969000, 65224, 38, -8]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '414.6.a.o', 'level': 414, 'maxp': 2999, 'weight': 6}
• 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], [3, -1], [23, 1]], 7, 4], [[[2, -1], [3, -1], [23, -1]], 8, 3], [[[2, 1], [3, -1], [23, 1]], 7, 3], [[[2, 1], [3, 1], [23, 1]], 3, 1], [[[2, 1], [3, -1], [23, -1]], 6, 3], [[[2, -1], [3, 1], [23, -1]], 3, 1], [[[2, -1], [3, 1], [23, 1]], 5, 1], [[[2, 1], [3, 1], [23, -1]], 5, 1]], 'ALdims': [3, 5, 7, 6, 5, 3, 7, 8], 'Nk2': 14904, 'analytic_conductor': 66.39890140257398, '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': [414, 1, [47, 235], [1, 1]], 'conrey_index': 1, 'cusp_dim': 352, 'dim': 44, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 100663710, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 4, 5, 5], 'label': '414.6.a', 'level': 414, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 23], 'level_radical': 138, 'mf_dim': 368, 'mf_new_dim': 44, 'num_forms': 17, 'plus_dim': 19, 'prim_orbit_index': 1, 'relative_dim': 44, 'sturm_bound': 432, 'trace_bound': 5, 'trace_display': [8, 0, -22, 4], 'traces': [44, 8, 0, 704, -22, 0, 4, 128, 0, -808, -302, 0, 1200, -176, 0, 11264, -1708, 0, 3114, -352, 0, 5704, 0, 0, 23472, -720, 0, 64, 6724, 0, 8144, 2048, 0, 12800, -21968, 0, -13490, -5016, 0, -12928, 32412, 0, -2706, -4832, 0, -4232, 27576, 0, 41436, -25848, 0, 19200, -110846, 0, 95504, -2816, 0, -6656, 26736, 0, -26310, -7552, 0, 180224, -12700, 0, -89918, -27328, 0, 115264, 52320, 0, 72812, 22888, 0, 49824, 57272, 0, -164764, -5632, 0, -126528, 157366, 0, -190868, -174888, 0, 91264, 206568, 0, 499848, 0, 0, -170208, 267560, 0, 54404, 17736, 0, 375552, -896, 0, 350640, -11520, 0, 517816, 381046, 0, 717890, 502880, 0, 1024, -185872, 0, -26450, 107584, 0, -335904, 546184, 0, 1400112, -137064, 0, 130304, 787308, 0, 245376, 32768, 0, 301328, 130584, 0, -330792, -328184, 0, 204800, -695508, 0, -720656, 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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

  
  
  • id: 306955
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '414.6.a.o', 'source_level': 414, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '138.6.a.i', 'target_level': 138, 'twist_class_label': '138.6.a.i', 'twist_class_level': 138, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 6}
  • id: 306956
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '414.6.a.o', 'source_level': 414, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '414.6.a.o', 'target_level': 414, 'twist_class_label': '138.6.a.i', 'twist_class_level': 138, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 6}
  • id: 306957
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '414.6.a.o', 'source_level': 414, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '1104.6.a.m', 'target_level': 1104, 'twist_class_label': '138.6.a.i', 'twist_class_level': 138, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 855475
    {'charpoly_factorization': [[[4, 1], 4]], 'hecke_orbit_code': 63050394883850654, 'p': 2}
  • id: 855476
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 63050394883850654, 'p': 3}
  • id: 855477
    {'charpoly_factorization': [[[-9068808, -613004, -9218, 54, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 5}
  • id: 855478
    {'charpoly_factorization': [[[-247202152, 2808840, 21258, -348, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 7}
  • id: 855479
    {'charpoly_factorization': [[[6955214976, -46102464, -346292, -6, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 11}
  • id: 855480
    {'charpoly_factorization': [[[-368203080832, 1285527360, -726612, -1248, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 13}
  • id: 855481
    {'charpoly_factorization': [[[791612460000, -1400442600, -4061750, -56, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 17}
  • id: 855482
    {'charpoly_factorization': [[[12533606427240, 7936539172, -7871358, -1530, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 19}
  • id: 855483
    {'charpoly_factorization': [[[529, 1], 4]], 'hecke_orbit_code': 63050394883850654, 'p': 23}
  • id: 855484
    {'charpoly_factorization': [[[-7814693873520, -23175942096, -15879560, 2292, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 29}
  • id: 855485
    {'charpoly_factorization': [[[270426164868224, 62292852384, -52901480, -1556, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 31}
  • id: 855486
    {'charpoly_factorization': [[[-3022090813986000, -1275039507560, -110151272, 9586, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 37}
  • id: 855487
    {'charpoly_factorization': [[[-1731267316886640, 1579238683808, -155571016, -11768, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 41}
  • id: 855488
    {'charpoly_factorization': [[[1288645968795672, 432081433292, -85863302, -13758, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 43}
  • id: 855489
    {'charpoly_factorization': [[[17140752009360960, -1444551005824, -237779764, 10636, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 47}
  • id: 855490
    {'charpoly_factorization': [[[-75365170064868600, -14207821140044, -480147434, 26686, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 53}
  • id: 855491
    {'charpoly_factorization': [[[2148317951977003968, 7086464608608, -3083058644, -9108, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 59}
  • id: 855492
    {'charpoly_factorization': [[[-55033310263871920, -10723403377368, -70004496, 37878, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 61}
  • id: 855493
    {'charpoly_factorization': [[[3837367640430461880, -67116245277852, -4208142726, 23302, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 67}
  • id: 855494
    {'charpoly_factorization': [[[3437299069314508800, -50467661767680, -4596389648, 31728, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 71}
  • id: 855495
    {'charpoly_factorization': [[[619572488883962800, 33118038107120, -4351165456, 28340, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 73}
  • id: 855496
    {'charpoly_factorization': [[[42551404111273560, 10253764525432, -2176336646, 26668, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 79}
  • id: 855497
    {'charpoly_factorization': [[[-7774539684526257600, 286794493543616, 807964284, -119026, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 83}
  • id: 855498
    {'charpoly_factorization': [[[-32410527297737940000, 1058166221366400, -3298020230, -148236, 1], 1]], 'hecke_orbit_code': 63050394883850654, 'p': 89}
  • id: 855499
    {'charpoly_factorization': [[[1640063762391571920, 170177146093904, -8616632120, 16092, 1], 1]], 'hecke_orbit_code': 63050394883850654, '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': 15, 'label': '414.6.a.o', 'level': 414, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 233249000
    {'hecke_orbit_code': 63050394883850654, 'n': 1, 'trace_an': 4}
  • id: 233249001
    {'hecke_orbit_code': 63050394883850654, 'n': 2, 'trace_an': -16}
  • id: 233249002
    {'hecke_orbit_code': 63050394883850654, 'n': 3, 'trace_an': 0}
  • id: 233249003
    {'hecke_orbit_code': 63050394883850654, 'n': 4, 'trace_an': 64}
  • id: 233249004
    {'hecke_orbit_code': 63050394883850654, 'n': 5, 'trace_an': -54}
  • id: 233249005
    {'hecke_orbit_code': 63050394883850654, 'n': 6, 'trace_an': 0}
  • id: 233249006
    {'hecke_orbit_code': 63050394883850654, 'n': 7, 'trace_an': 348}
  • id: 233249007
    {'hecke_orbit_code': 63050394883850654, 'n': 8, 'trace_an': -256}
  • id: 233249008
    {'hecke_orbit_code': 63050394883850654, 'n': 9, 'trace_an': 0}
  • id: 233249009
    {'hecke_orbit_code': 63050394883850654, 'n': 10, 'trace_an': 216}
  • id: 233249010
    {'hecke_orbit_code': 63050394883850654, 'n': 11, 'trace_an': 6}
  • id: 233249011
    {'hecke_orbit_code': 63050394883850654, 'n': 12, 'trace_an': 0}
  • id: 233249012
    {'hecke_orbit_code': 63050394883850654, 'n': 13, 'trace_an': 1248}
  • id: 233249013
    {'hecke_orbit_code': 63050394883850654, 'n': 14, 'trace_an': -1392}
  • id: 233249014
    {'hecke_orbit_code': 63050394883850654, 'n': 15, 'trace_an': 0}
  • id: 233249015
    {'hecke_orbit_code': 63050394883850654, 'n': 16, 'trace_an': 1024}
  • id: 233249016
    {'hecke_orbit_code': 63050394883850654, 'n': 17, 'trace_an': 56}
  • id: 233249017
    {'hecke_orbit_code': 63050394883850654, 'n': 18, 'trace_an': 0}
  • id: 233249018
    {'hecke_orbit_code': 63050394883850654, 'n': 19, 'trace_an': 1530}
  • id: 233249019
    {'hecke_orbit_code': 63050394883850654, 'n': 20, 'trace_an': -864}
  • id: 233249020
    {'hecke_orbit_code': 63050394883850654, 'n': 21, 'trace_an': 0}
  • id: 233249021
    {'hecke_orbit_code': 63050394883850654, 'n': 22, 'trace_an': -24}
  • id: 233249022
    {'hecke_orbit_code': 63050394883850654, 'n': 23, 'trace_an': -2116}
  • id: 233249023
    {'hecke_orbit_code': 63050394883850654, 'n': 24, 'trace_an': 0}
  • id: 233249024
    {'hecke_orbit_code': 63050394883850654, 'n': 25, 'trace_an': 8852}
  • id: 233249025
    {'hecke_orbit_code': 63050394883850654, 'n': 26, 'trace_an': -4992}
  • id: 233249026
    {'hecke_orbit_code': 63050394883850654, 'n': 27, 'trace_an': 0}
  • id: 233249027
    {'hecke_orbit_code': 63050394883850654, 'n': 28, 'trace_an': 5568}
  • id: 233249028
    {'hecke_orbit_code': 63050394883850654, 'n': 29, 'trace_an': -2292}
  • id: 233249029
    {'hecke_orbit_code': 63050394883850654, 'n': 30, 'trace_an': 0}
  • id: 233249030
    {'hecke_orbit_code': 63050394883850654, 'n': 31, 'trace_an': 1556}
  • id: 233249031
    {'hecke_orbit_code': 63050394883850654, 'n': 32, 'trace_an': -4096}
  • id: 233249032
    {'hecke_orbit_code': 63050394883850654, 'n': 33, 'trace_an': 0}
  • id: 233249033
    {'hecke_orbit_code': 63050394883850654, 'n': 34, 'trace_an': -224}
  • id: 233249034
    {'hecke_orbit_code': 63050394883850654, 'n': 35, 'trace_an': -5688}
  • id: 233249035
    {'hecke_orbit_code': 63050394883850654, 'n': 36, 'trace_an': 0}
  • id: 233249036
    {'hecke_orbit_code': 63050394883850654, 'n': 37, 'trace_an': -9586}
  • id: 233249037
    {'hecke_orbit_code': 63050394883850654, 'n': 38, 'trace_an': -6120}
  • id: 233249038
    {'hecke_orbit_code': 63050394883850654, 'n': 39, 'trace_an': 0}
  • id: 233249039
    {'hecke_orbit_code': 63050394883850654, 'n': 40, 'trace_an': 3456}
  • id: 233249040
    {'hecke_orbit_code': 63050394883850654, 'n': 41, 'trace_an': 11768}
  • id: 233249041
    {'hecke_orbit_code': 63050394883850654, 'n': 42, 'trace_an': 0}
  • id: 233249042
    {'hecke_orbit_code': 63050394883850654, 'n': 43, 'trace_an': 13758}
  • id: 233249043
    {'hecke_orbit_code': 63050394883850654, 'n': 44, 'trace_an': 96}
  • id: 233249044
    {'hecke_orbit_code': 63050394883850654, 'n': 45, 'trace_an': 0}
  • id: 233249045
    {'hecke_orbit_code': 63050394883850654, 'n': 46, 'trace_an': 8464}
  • id: 233249046
    {'hecke_orbit_code': 63050394883850654, 'n': 47, 'trace_an': -10636}
  • id: 233249047
    {'hecke_orbit_code': 63050394883850654, 'n': 48, 'trace_an': 0}
  • id: 233249048
    {'hecke_orbit_code': 63050394883850654, 'n': 49, 'trace_an': 11360}
  • id: 233249049
    {'hecke_orbit_code': 63050394883850654, 'n': 50, 'trace_an': -35408}
  • id: 233249050
    {'hecke_orbit_code': 63050394883850654, 'n': 51, 'trace_an': 0}
  • id: 233249051
    {'hecke_orbit_code': 63050394883850654, 'n': 52, 'trace_an': 19968}
  • id: 233249052
    {'hecke_orbit_code': 63050394883850654, 'n': 53, 'trace_an': -26686}
  • id: 233249053
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    {'hecke_orbit_code': 63050394883850654, 'n': 998, 'trace_an': -2209168}
  • id: 233249998
    {'hecke_orbit_code': 63050394883850654, 'n': 999, 'trace_an': 0}
  • id: 233249999
    {'hecke_orbit_code': 63050394883850654, 'n': 1000, 'trace_an': -33646848}