Embedded newform data - 546.8.a.c.1.1

Formats: - HTML - YAML - JSON - 2024-04-20T16:15:53.172662

• 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': 34944, 'analytic_conductor': 170.56222391433047, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [7, 1], [13, -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': [546, 1, [365, 157, 379], [1, 1, 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': [[5, [10, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199388959266, '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': True, 'label': '546.8.a.c', 'level': 546, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 3, 7, 13], 'level_radical': 546, 'minimal_twist': '546.8.a.c', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+8q^{2}+3^{3}q^{3}+2^{6}q^{4}-10q^{5}+6^{3}q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '546.8.a', 'trace_display': [8, 27, -10, -343], 'trace_hash': 232368339943961002, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.954', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.870', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.628', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 8, 27, 64, -10, 216, -343, 512, 729, -80, 1508, 1728, 2197, -2744, -270, 4096, -1042, 5832, -9068, -640, -9261, 12064, -98988, 13824, -78025, 17576, 19683, -21952, -213642, -2160, -22048, 32768, 40716, -8336, 3430, 46656, 418246, -72544, 59319, -5120, -76414, -74088, -177524, 96512, -7290, -791904, 631916, 110592, 117649, -624200, -28134, 140608, -982354, 157464, -15080, -175616, -244836, -1709136, -596384, -17280, 1863406, -176384, -250047, 262144, -21970, 325728, -1845652, -66688, -2672676, 27440, 1632280, 373248, 216650, 3345968, -2106675, -580352, -517244, 474552, -6460168, -40960, 531441, -611312, 3592152, -592704, 10420, -1420192, -5768334, 772096, -9482662, -58320, -753571, -6335232, -595296, 5055328, 90680, 884736, 840226, 941192, 1099332, -4993600, -8666942, -225072, -9630776, 1124864, 92610, -7858832, 3515760, 1259712, 1158694, -120640, 11292642, -1404928, -7506966, -1958688, 989880, 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• 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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-0.2309011597927338, -0.3041916040928232], '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': 3, 'hecke_orbit_code': 9007199388959266, 'label': '546.8.a.c.1.1', 'level': 546, 'weight': 8}
• 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], [7, -1], [13, -1]], 7, 1], [[[2, 1], [3, 1], [7, -1], [13, -1]], 6, 1], [[[2, 1], [3, -1], [7, 1], [13, 1]], 5, 1], [[[2, 1], [3, 1], [7, 1], [13, 1]], 6, 1], [[[2, -1], [3, 1], [7, -1], [13, 1]], 6, 1], [[[2, -1], [3, 1], [7, -1], [13, -1]], 4, 2], [[[2, 1], [3, -1], [7, -1], [13, -1]], 5, 1], [[[2, -1], [3, -1], [7, 1], [13, -1]], 4, 2], [[[2, 1], [3, -1], [7, 1], [13, -1]], 5, 1], [[[2, 1], [3, -1], [7, -1], [13, 1]], 6, 1], [[[2, 1], [3, 1], [7, -1], [13, 1]], 4, 1], [[[2, -1], [3, -1], [7, -1], [13, 1]], 4, 1], [[[2, -1], [3, 1], [7, 1], [13, -1]], 6, 1], [[[2, -1], [3, -1], [7, 1], [13, 1]], 6, 2], [[[2, 1], [3, 1], [7, 1], [13, -1]], 5, 1], [[[2, -1], [3, 1], [7, 1], [13, 1]], 5, 1]], 'ALdims': [6, 5, 4, 6, 5, 5, 6, 5, 5, 6, 6, 4, 6, 4, 4, 7], 'Nk2': 34944, 'analytic_conductor': 170.56222391433047, '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': [546, 1, [365, 157, 379], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 776, 'dim': 84, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 134218274, 'hecke_orbit_dims': [1, 1, 1, 3, 3, 4, 4, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 7], 'label': '546.8.a', 'level': 546, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 3, 7, 13], 'level_radical': 546, 'mf_dim': 792, 'mf_new_dim': 84, 'num_forms': 19, 'plus_dim': 48, 'prim_orbit_index': 1, 'relative_dim': 84, 'sturm_bound': 896, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 'traces': [84, 0, 0, 5376, 0, 0, 0, 0, 61236, 0, 0, 0, 0, 0, 0, 344064, 52208, 0, -90704, 0, 37044, 5824, -102072, 0, 1110900, 0, 0, 0, -91992, -157248, 386864, 0, -163728, 0, -117992, 3919104, 777264, 371072, 0, 0, 239488, 0, -626440, 0, 0, 846528, 2910272, 0, 9882516, -1763072, 162864, 0, -2494600, 0, -921024, 0, 4923504, 3464128, 6413152, 0, 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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

  
  {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388959266, 'source_is_minimal': True, 'source_label': '546.8.a.c.1.1', 'source_level': 546, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199388959266, 'target_is_minimal': True, 'target_label': '546.8.a.c.1.1', 'target_level': 546, 'twist_class_label': '546.8.a.c.1.1', 'twist_class_level': 546, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1032325
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 2}
  • id: 1032326
    {'charpoly_factorization': [[[-27, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 3}
  • id: 1032327
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 5}
  • id: 1032328
    {'charpoly_factorization': [[[343, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 7}
  • id: 1032329
    {'charpoly_factorization': [[[-1508, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 11}
  • id: 1032330
    {'charpoly_factorization': [[[-2197, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 13}
  • id: 1032331
    {'charpoly_factorization': [[[1042, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 17}
  • id: 1032332
    {'charpoly_factorization': [[[9068, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 19}
  • id: 1032333
    {'charpoly_factorization': [[[98988, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 23}
  • id: 1032334
    {'charpoly_factorization': [[[213642, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 29}
  • id: 1032335
    {'charpoly_factorization': [[[22048, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 31}
  • id: 1032336
    {'charpoly_factorization': [[[-418246, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 37}
  • id: 1032337
    {'charpoly_factorization': [[[76414, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 41}
  • id: 1032338
    {'charpoly_factorization': [[[177524, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 43}
  • id: 1032339
    {'charpoly_factorization': [[[-631916, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 47}
  • id: 1032340
    {'charpoly_factorization': [[[982354, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 53}
  • id: 1032341
    {'charpoly_factorization': [[[596384, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 59}
  • id: 1032342
    {'charpoly_factorization': [[[-1863406, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 61}
  • id: 1032343
    {'charpoly_factorization': [[[1845652, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 67}
  • id: 1032344
    {'charpoly_factorization': [[[-1632280, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 71}
  • id: 1032345
    {'charpoly_factorization': [[[-216650, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 73}
  • id: 1032346
    {'charpoly_factorization': [[[6460168, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 79}
  • id: 1032347
    {'charpoly_factorization': [[[-3592152, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 83}
  • id: 1032348
    {'charpoly_factorization': [[[9482662, 1], 1]], 'hecke_orbit_code': 9007199388959266, 'p': 89}
  • id: 1032349
    {'charpoly_factorization': [[[-840226, 1], 1]], 'hecke_orbit_code': 9007199388959266, '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': '546.8.a.c', 'level': 546, 'portrait': 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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 113036000
    {'hecke_orbit_code': 9007199388959266, 'n': 1, 'trace_an': 1}
  • id: 113036001
    {'hecke_orbit_code': 9007199388959266, 'n': 2, 'trace_an': 8}
  • id: 113036002
    {'hecke_orbit_code': 9007199388959266, 'n': 3, 'trace_an': 27}
  • id: 113036003
    {'hecke_orbit_code': 9007199388959266, 'n': 4, 'trace_an': 64}
  • id: 113036004
    {'hecke_orbit_code': 9007199388959266, 'n': 5, 'trace_an': -10}
  • id: 113036005
    {'hecke_orbit_code': 9007199388959266, 'n': 6, 'trace_an': 216}
  • id: 113036006
    {'hecke_orbit_code': 9007199388959266, 'n': 7, 'trace_an': -343}
  • id: 113036007
    {'hecke_orbit_code': 9007199388959266, 'n': 8, 'trace_an': 512}
  • id: 113036008
    {'hecke_orbit_code': 9007199388959266, 'n': 9, 'trace_an': 729}
  • id: 113036009
    {'hecke_orbit_code': 9007199388959266, 'n': 10, 'trace_an': -80}
  • id: 113036010
    {'hecke_orbit_code': 9007199388959266, 'n': 11, 'trace_an': 1508}
  • id: 113036011
    {'hecke_orbit_code': 9007199388959266, 'n': 12, 'trace_an': 1728}
  • id: 113036012
    {'hecke_orbit_code': 9007199388959266, 'n': 13, 'trace_an': 2197}
  • id: 113036013
    {'hecke_orbit_code': 9007199388959266, 'n': 14, 'trace_an': -2744}
  • id: 113036014
    {'hecke_orbit_code': 9007199388959266, 'n': 15, 'trace_an': -270}
  • id: 113036015
    {'hecke_orbit_code': 9007199388959266, 'n': 16, 'trace_an': 4096}
  • id: 113036016
    {'hecke_orbit_code': 9007199388959266, 'n': 17, 'trace_an': -1042}
  • id: 113036017
    {'hecke_orbit_code': 9007199388959266, 'n': 18, 'trace_an': 5832}
  • id: 113036018
    {'hecke_orbit_code': 9007199388959266, 'n': 19, 'trace_an': -9068}
  • id: 113036019
    {'hecke_orbit_code': 9007199388959266, 'n': 20, 'trace_an': -640}
  • id: 113036020
    {'hecke_orbit_code': 9007199388959266, 'n': 21, 'trace_an': -9261}
  • id: 113036021
    {'hecke_orbit_code': 9007199388959266, 'n': 22, 'trace_an': 12064}
  • id: 113036022
    {'hecke_orbit_code': 9007199388959266, 'n': 23, 'trace_an': -98988}
  • id: 113036023
    {'hecke_orbit_code': 9007199388959266, 'n': 24, 'trace_an': 13824}
  • id: 113036024
    {'hecke_orbit_code': 9007199388959266, 'n': 25, 'trace_an': -78025}
  • id: 113036025
    {'hecke_orbit_code': 9007199388959266, 'n': 26, 'trace_an': 17576}
  • id: 113036026
    {'hecke_orbit_code': 9007199388959266, 'n': 27, 'trace_an': 19683}
  • id: 113036027
    {'hecke_orbit_code': 9007199388959266, 'n': 28, 'trace_an': -21952}
  • id: 113036028
    {'hecke_orbit_code': 9007199388959266, 'n': 29, 'trace_an': -213642}
  • id: 113036029
    {'hecke_orbit_code': 9007199388959266, 'n': 30, 'trace_an': -2160}
  • id: 113036030
    {'hecke_orbit_code': 9007199388959266, 'n': 31, 'trace_an': -22048}
  • id: 113036031
    {'hecke_orbit_code': 9007199388959266, 'n': 32, 'trace_an': 32768}
  • id: 113036032
    {'hecke_orbit_code': 9007199388959266, 'n': 33, 'trace_an': 40716}
  • id: 113036033
    {'hecke_orbit_code': 9007199388959266, 'n': 34, 'trace_an': -8336}
  • id: 113036034
    {'hecke_orbit_code': 9007199388959266, 'n': 35, 'trace_an': 3430}
  • id: 113036035
    {'hecke_orbit_code': 9007199388959266, 'n': 36, 'trace_an': 46656}
  • id: 113036036
    {'hecke_orbit_code': 9007199388959266, 'n': 37, 'trace_an': 418246}
  • id: 113036037
    {'hecke_orbit_code': 9007199388959266, 'n': 38, 'trace_an': -72544}
  • id: 113036038
    {'hecke_orbit_code': 9007199388959266, 'n': 39, 'trace_an': 59319}
  • id: 113036039
    {'hecke_orbit_code': 9007199388959266, 'n': 40, 'trace_an': -5120}
  • id: 113036040
    {'hecke_orbit_code': 9007199388959266, 'n': 41, 'trace_an': -76414}
  • id: 113036041
    {'hecke_orbit_code': 9007199388959266, 'n': 42, 'trace_an': -74088}
  • id: 113036042
    {'hecke_orbit_code': 9007199388959266, 'n': 43, 'trace_an': -177524}
  • id: 113036043
    {'hecke_orbit_code': 9007199388959266, 'n': 44, 'trace_an': 96512}
  • id: 113036044
    {'hecke_orbit_code': 9007199388959266, 'n': 45, 'trace_an': -7290}
  • id: 113036045
    {'hecke_orbit_code': 9007199388959266, 'n': 46, 'trace_an': -791904}
  • id: 113036046
    {'hecke_orbit_code': 9007199388959266, 'n': 47, 'trace_an': 631916}
  • id: 113036047
    {'hecke_orbit_code': 9007199388959266, 'n': 48, 'trace_an': 110592}
  • id: 113036048
    {'hecke_orbit_code': 9007199388959266, 'n': 49, 'trace_an': 117649}
  • id: 113036049
    {'hecke_orbit_code': 9007199388959266, 'n': 50, 'trace_an': -624200}
  • id: 113036050
    {'hecke_orbit_code': 9007199388959266, 'n': 51, 'trace_an': -28134}
  • id: 113036051
    {'hecke_orbit_code': 9007199388959266, 'n': 52, 'trace_an': 140608}
  • id: 113036052
    {'hecke_orbit_code': 9007199388959266, 'n': 53, 'trace_an': -982354}
  • id: 113036053
    {'hecke_orbit_code': 9007199388959266, 'n': 54, 'trace_an': 157464}
  • id: 113036054
    {'hecke_orbit_code': 9007199388959266, 'n': 55, 'trace_an': -15080}
  • id: 113036055
    {'hecke_orbit_code': 9007199388959266, 'n': 56, 'trace_an': -175616}
  • id: 113036056
    {'hecke_orbit_code': 9007199388959266, 'n': 57, 'trace_an': -244836}
  • id: 113036057
    {'hecke_orbit_code': 9007199388959266, 'n': 58, 'trace_an': -1709136}
  • id: 113036058
    {'hecke_orbit_code': 9007199388959266, 'n': 59, 'trace_an': -596384}
  • id: 113036059
    {'hecke_orbit_code': 9007199388959266, 'n': 60, 'trace_an': -17280}
  • id: 113036060
    {'hecke_orbit_code': 9007199388959266, 'n': 61, 'trace_an': 1863406}
  • id: 113036061
    {'hecke_orbit_code': 9007199388959266, 'n': 62, 'trace_an': -176384}
  • id: 113036062
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  • id: 113036993
    {'hecke_orbit_code': 9007199388959266, 'n': 994, 'trace_an': -4478976320}
  • id: 113036994
    {'hecke_orbit_code': 9007199388959266, 'n': 995, 'trace_an': 777937520}
  • id: 113036995
    {'hecke_orbit_code': 9007199388959266, 'n': 996, 'trace_an': 6207238656}
  • id: 113036996
    {'hecke_orbit_code': 9007199388959266, 'n': 997, 'trace_an': -20900198954}
  • id: 113036997
    {'hecke_orbit_code': 9007199388959266, 'n': 998, 'trace_an': 2901528096}
  • id: 113036998
    {'hecke_orbit_code': 9007199388959266, 'n': 999, 'trace_an': 8232336018}
  • id: 113036999
    {'hecke_orbit_code': 9007199388959266, 'n': 1000, 'trace_an': 799488000}