Embedded newform data - 49.20.a.b.1.1

Formats: - HTML - YAML - JSON - 2024-04-30T02:45:27.979038

• 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': 19600, 'analytic_conductor': 112.12018131262657, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[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': [49, 1, [3], [1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 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, [-456, 1]], [3, [50652, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599962914865, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], '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': '49.20.a.b', 'level': 49, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [7], 'level_radical': 7, 'minimal_twist': '1.20.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+456q^{2}-50652q^{3}-316352q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '19.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '49.20.a', 'trace_display': [456, -50652, 2377410, 0], 'trace_hash': 1683857143491751775, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.979', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.930', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.788', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [1, 456, -50652, -316352, 2377410, -23097312, 0, -383331840, 1403363637, 1084098960, -16212108, 16023861504, -50421615062, 0, -120420571320, -8939761664, -225070099506, 639933818472, 1710278572660, -752098408320, 0, -7392721248, 14036534788872, 19416524359680, -13421408020025, -22992256468272, -12212307114840, 0, 1137835269510, -54911780521920, 104626880141728, 196899752411136, 821175694416, -102631965374736, 0, -443956893292224, -169392327370594, 779887029132960, 2553955646120424, -911336949734400, 3309984750560838, 0, 1127913532193492, 5128732790016, 3336370744240170, 6400659863725632, -3498693987674256, 452816807804928, 0, -6120162057131400, 11400250680177912, 15950978768093824, 29956294112980302, -5568812044367040, -38542827680280, 0, -86629030262374320, 518852882896560, -58391397642732420, 38095288578224640, -23373685132672742, 47709857344627968, 0, 94473296862773248, -119872851864549420, 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'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

  
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-0.2501649678038888, -0.3645870794341006, -0.28696188829719427, -0.14599330426371165, -0.09905705686062384, -0.24884097611465508, -0.19217793538831987, -0.2670844842024875, -0.1051712801190624, -0.22263104602460318, -0.28661029484774125, -0.14285481223429053, -0.3222906810777795, -0.2704209615509962, -0.3261650766524011, -0.28697699860651943, -0.2981707668024419, -0.2568917101636341, -0.30772643262539706, -0.3649868910829046, -0.24324894456644552, -0.13798972570342902, -0.27966167268456205, -0.12753531432563578, -0.3165594414437988, -0.18397344093234191, -0.17488302580890905, -0.2945979309527296, -0.383130144286174, -0.2990253838746788, -0.2986660159695505, -0.15272586095600327, -0.11779946835676806, -0.295170432898747, -0.26485667442916455, -0.1970055162443275, -0.40340739268871284, -0.35091570655176385, -0.13477237090012345, -0.3341400753292982, -0.21905401796187046, -0.23778092352620728, -0.34265967211665094, -0.3321024333875369, -0.18067030234247852, -0.1118800297671788, 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-0.28185924274611707, -0.26789889343911777, -0.3146576274698019, -0.37602673971775674, -0.13350292327452787, -0.11246740345168837, -0.3842134583211155, -0.11740767187266124, -0.08593579366647076, -0.25281694373948693, -0.25110276549811195, -0.3254248551963079, -0.37832933505129335, -0.38836967298513364, -0.19002268180486456, -0.22365280200485335, -0.29413884934504186, -0.27023871317101766, -0.17263824268899072, -0.22630799171958735, -0.345014816789571, -0.32078180852940696, -0.32653266682688353, -0.39543833302652154, -0.07234136461049888, -0.24581669434697107], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599962914865, 'label': '49.20.a.b.1.1', 'level': 49, 'weight': 20}
• 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': [[[[7, -1]], 31, 6], [[[7, 1]], 32, 2]], 'ALdims': [32, 31], 'Nk2': 19600, 'analytic_conductor': 112.12018131262657, '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': [49, 1, [3], [1]], 'conrey_index': 1, 'cusp_dim': 84, 'dim': 63, 'eis_dim': 8, 'eis_new_dim': 5, 'hecke_cutter_primes': [2, 3], 'hecke_orbit_code': 335544369, 'hecke_orbit_dims': [1, 1, 4, 5, 8, 12, 12, 20], 'label': '49.20.a', 'level': 49, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [7], 'level_radical': 7, 'mf_dim': 92, 'mf_new_dim': 68, 'num_forms': 8, 'plus_dim': 32, 'prim_orbit_index': 1, 'relative_dim': 63, 'sturm_bound': 93, 'trace_bound': 3, 'trace_display': [-456, 11288, -4621576, 0], 'traces': [63, -456, 11288, 16665036, -4621576, 9984994, 0, 35620212, 25659749107, -936451204, -4775590852, 3579921226, 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• 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: 34486508
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599962914865, 'source_is_minimal': False, 'source_label': '49.20.a.b.1.1', 'source_level': 49, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599962914865, 'target_is_minimal': False, 'target_label': '49.20.a.b.1.1', 'target_level': 49, 'twist_class_label': '1.20.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 20}
  • id: 34486509
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599962914865, 'source_is_minimal': False, 'source_label': '49.20.a.b.1.1', 'source_level': 49, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 335544321, 'target_is_minimal': True, 'target_label': '1.20.a.a.1.1', 'target_level': 1, 'twist_class_label': '1.20.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 20}
  • id: 34486510
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599962914865, 'source_is_minimal': False, 'source_label': '49.20.a.b.1.1', 'source_level': 49, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 335544329, 'target_is_minimal': False, 'target_label': '9.20.a.a.1.1', 'target_level': 9, 'twist_class_label': '1.20.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 20}
  • id: 34486511
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599962914865, 'source_is_minimal': False, 'source_label': '49.20.a.b.1.1', 'source_level': 49, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 335544336, 'target_is_minimal': False, 'target_label': '16.20.a.a.1.1', 'target_level': 16, 'twist_class_label': '1.20.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 20}
  • id: 34486512
    {'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599962914865, 'source_is_minimal': False, 'source_label': '49.20.a.b.1.1', 'source_level': 49, 'target_conrey_index': 24, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 69055021081, 'target_is_minimal': False, 'target_label': '25.20.b.a.24.1', 'target_level': 25, 'twist_class_label': '1.20.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '35.13', 'twisting_conrey_index': 13, 'weight': 20}
  • id: 34486513
    {'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599962914865, 'source_is_minimal': False, 'source_label': '49.20.a.b.1.1', 'source_level': 49, 'target_conrey_index': 24, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 69055021081, 'target_is_minimal': False, 'target_label': '25.20.b.a.24.2', 'target_level': 25, 'twist_class_label': '1.20.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '35.27', 'twisting_conrey_index': 27, 'weight': 20}
  • id: 34486514
    {'conductor': 35, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599962914865, 'source_is_minimal': False, 'source_label': '49.20.a.b.1.1', 'source_level': 49, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 335544345, 'target_is_minimal': False, 'target_label': '25.20.a.a.1.1', 'target_level': 25, 'twist_class_label': '1.20.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '35.34', 'twisting_conrey_index': 34, 'weight': 20}
  • id: 34486515
    {'conductor': 56, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599962914865, 'source_is_minimal': False, 'source_label': '49.20.a.b.1.1', 'source_level': 49, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599962914880, 'target_is_minimal': False, 'target_label': '64.20.a.b.1.1', 'target_level': 64, 'twist_class_label': '1.20.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '56.13', 'twisting_conrey_index': 13, 'weight': 20}
  • id: 34486516
    {'conductor': 56, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599962914865, 'source_is_minimal': False, 'source_label': '49.20.a.b.1.1', 'source_level': 49, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197727137856, 'target_is_minimal': False, 'target_label': '64.20.a.h.1.1', 'target_level': 64, 'twist_class_label': '1.20.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '56.27', 'twisting_conrey_index': 27, 'weight': 20}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 167300
    {'charpoly_factorization': [[[-456, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 2}
  • id: 167301
    {'charpoly_factorization': [[[50652, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 3}
  • id: 167302
    {'charpoly_factorization': [[[-2377410, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 5}
  • id: 167303
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 7}
  • id: 167304
    {'charpoly_factorization': [[[16212108, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 11}
  • id: 167305
    {'charpoly_factorization': [[[50421615062, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 13}
  • id: 167306
    {'charpoly_factorization': [[[225070099506, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 17}
  • id: 167307
    {'charpoly_factorization': [[[-1710278572660, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 19}
  • id: 167308
    {'charpoly_factorization': [[[-14036534788872, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 23}
  • id: 167309
    {'charpoly_factorization': [[[-1137835269510, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 29}
  • id: 167310
    {'charpoly_factorization': [[[-104626880141728, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 31}
  • id: 167311
    {'charpoly_factorization': [[[169392327370594, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 37}
  • id: 167312
    {'charpoly_factorization': [[[-3309984750560838, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 41}
  • id: 167313
    {'charpoly_factorization': [[[-1127913532193492, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 43}
  • id: 167314
    {'charpoly_factorization': [[[3498693987674256, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 47}
  • id: 167315
    {'charpoly_factorization': [[[-29956294112980302, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 53}
  • id: 167316
    {'charpoly_factorization': [[[58391397642732420, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 59}
  • id: 167317
    {'charpoly_factorization': [[[23373685132672742, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 61}
  • id: 167318
    {'charpoly_factorization': [[[205102524257382244, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 67}
  • id: 167319
    {'charpoly_factorization': [[[177902341950417768, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 71}
  • id: 167320
    {'charpoly_factorization': [[[299853775038660122, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 73}
  • id: 167321
    {'charpoly_factorization': [[[92227090144007440, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 79}
  • id: 167322
    {'charpoly_factorization': [[[1208542823470585932, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 83}
  • id: 167323
    {'charpoly_factorization': [[[4371201192290304330, 1], 1]], 'hecke_orbit_code': 4503599962914865, 'p': 89}
  • id: 167324
    {'charpoly_factorization': [[[-635013222218448094, 1], 1]], 'hecke_orbit_code': 4503599962914865, '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': 2, 'label': '49.20.a.b', 'level': 49, 'portrait': 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', 'weight': 20}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 77476000
    {'hecke_orbit_code': 4503599962914865, 'n': 1, 'trace_an': 1}
  • id: 77476001
    {'hecke_orbit_code': 4503599962914865, 'n': 2, 'trace_an': 456}
  • id: 77476002
    {'hecke_orbit_code': 4503599962914865, 'n': 3, 'trace_an': -50652}
  • id: 77476003
    {'hecke_orbit_code': 4503599962914865, 'n': 4, 'trace_an': -316352}
  • id: 77476004
    {'hecke_orbit_code': 4503599962914865, 'n': 5, 'trace_an': 2377410}
  • id: 77476005
    {'hecke_orbit_code': 4503599962914865, 'n': 6, 'trace_an': -23097312}
  • id: 77476006
    {'hecke_orbit_code': 4503599962914865, 'n': 7, 'trace_an': 0}
  • id: 77476007
    {'hecke_orbit_code': 4503599962914865, 'n': 8, 'trace_an': -383331840}
  • id: 77476008
    {'hecke_orbit_code': 4503599962914865, 'n': 9, 'trace_an': 1403363637}
  • id: 77476009
    {'hecke_orbit_code': 4503599962914865, 'n': 10, 'trace_an': 1084098960}
  • id: 77476010
    {'hecke_orbit_code': 4503599962914865, 'n': 11, 'trace_an': -16212108}
  • id: 77476011
    {'hecke_orbit_code': 4503599962914865, 'n': 12, 'trace_an': 16023861504}
  • id: 77476012
    {'hecke_orbit_code': 4503599962914865, 'n': 13, 'trace_an': -50421615062}
  • id: 77476013
    {'hecke_orbit_code': 4503599962914865, 'n': 14, 'trace_an': 0}
  • id: 77476014
    {'hecke_orbit_code': 4503599962914865, 'n': 15, 'trace_an': -120420571320}
  • id: 77476015
    {'hecke_orbit_code': 4503599962914865, 'n': 16, 'trace_an': -8939761664}
  • id: 77476016
    {'hecke_orbit_code': 4503599962914865, 'n': 17, 'trace_an': -225070099506}
  • id: 77476017
    {'hecke_orbit_code': 4503599962914865, 'n': 18, 'trace_an': 639933818472}
  • id: 77476018
    {'hecke_orbit_code': 4503599962914865, 'n': 19, 'trace_an': 1710278572660}
  • id: 77476019
    {'hecke_orbit_code': 4503599962914865, 'n': 20, 'trace_an': -752098408320}
  • id: 77476020
    {'hecke_orbit_code': 4503599962914865, 'n': 21, 'trace_an': 0}
  • id: 77476021
    {'hecke_orbit_code': 4503599962914865, 'n': 22, 'trace_an': -7392721248}
  • id: 77476022
    {'hecke_orbit_code': 4503599962914865, 'n': 23, 'trace_an': 14036534788872}
  • id: 77476023
    {'hecke_orbit_code': 4503599962914865, 'n': 24, 'trace_an': 19416524359680}
  • id: 77476024
    {'hecke_orbit_code': 4503599962914865, 'n': 25, 'trace_an': -13421408020025}
  • id: 77476025
    {'hecke_orbit_code': 4503599962914865, 'n': 26, 'trace_an': -22992256468272}
  • id: 77476026
    {'hecke_orbit_code': 4503599962914865, 'n': 27, 'trace_an': -12212307114840}
  • id: 77476027
    {'hecke_orbit_code': 4503599962914865, 'n': 28, 'trace_an': 0}
  • id: 77476028
    {'hecke_orbit_code': 4503599962914865, 'n': 29, 'trace_an': 1137835269510}
  • id: 77476029
    {'hecke_orbit_code': 4503599962914865, 'n': 30, 'trace_an': -54911780521920}
  • id: 77476030
    {'hecke_orbit_code': 4503599962914865, 'n': 31, 'trace_an': 104626880141728}
  • id: 77476031
    {'hecke_orbit_code': 4503599962914865, 'n': 32, 'trace_an': 196899752411136}
  • id: 77476032
    {'hecke_orbit_code': 4503599962914865, 'n': 33, 'trace_an': 821175694416}
  • id: 77476033
    {'hecke_orbit_code': 4503599962914865, 'n': 34, 'trace_an': -102631965374736}
  • id: 77476034
    {'hecke_orbit_code': 4503599962914865, 'n': 35, 'trace_an': 0}
  • id: 77476035
    {'hecke_orbit_code': 4503599962914865, 'n': 36, 'trace_an': -443956893292224}
  • id: 77476036
    {'hecke_orbit_code': 4503599962914865, 'n': 37, 'trace_an': -169392327370594}
  • id: 77476037
    {'hecke_orbit_code': 4503599962914865, 'n': 38, 'trace_an': 779887029132960}
  • id: 77476038
    {'hecke_orbit_code': 4503599962914865, 'n': 39, 'trace_an': 2553955646120424}
  • id: 77476039
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