Embedded newform data - 121.8.a.f.1.5

Formats: - HTML - YAML - JSON - 2026-03-15T03:29:01.794400

• 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': 7744, 'analytic_conductor': 37.798588083578736, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[11, 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': [121, 1, [2], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 6, 'field_disc': 265403425595746816608000, 'field_disc_factorization': [[2, 8], [3, 1], [5, 3], [17, 1], [41, 1], [739, 2], [85223, 2]], 'field_poly': [-6022080, 0, 146056, 0, -742, 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': 1, 'hecke_cutters': [[2, [-6022080, 0, 146056, 0, -742, 0, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22517998271070329, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 48, 'hecke_ring_index_factorization': [[2, 4], [3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 11, 2, -1, 2, 0]], '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': '121.8.a.f', 'level': 121, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [11], 'level_radical': 11, 'minimal_twist': '121.8.a.f', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{2}+(-3+\\beta _{3})q^{3}+(119+2\\beta _{3}+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '121.8.a', 'trace_display': [0, -16, 240, 0], 'trace_hash': 2171571006425338642, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.188', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.680', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.169', 'prec': 17}, {'__RealLiteral__': 0, 'data': '163.517', 'prec': 24}, {'__RealLiteral__': 0, 'data': '124.019', 'prec': 24}, {'__RealLiteral__': 0, 'data': '6678.324', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.503', 'prec': 17}, 'traces': [6, 0, -16, 716, 240, 0, 0, 0, 3746, 0, 0, 27108, 0, -51264, 88120, 45352, 0, 0, 0, 81900, 0, 0, -55104, 0, 108910, 56928, 73280, 0, 0, 0, -254560, 0, 0, -2103776, 0, 2027544, -252272, 2154240, 0, 0, 0, 790240, 0, 0, -1092740, 0, 372072, 7846456, 5017046, 0, 0, 0, 4947636, 0, 0, -9608160, 0, 3784000, 10205904, 18925140, 0, 0, 0, 5409808, 0, 0, -11727568, 0, 7645372, 12576640, 3862176, 0, 0, 0, -5964800, 0, 0, -40017600, 0, 40052040, -11954122, 23841440, 0, 0, 0, 2122368, 0, 0, 3655008, 0, -7026528, 29314212, 19011180, 0, 0, 0, 10649568, 0, 0, 36649280, 0, -76504960, -8484904, -71642400, 0, 0, 0, -9383700, 0, 0, 55121176, 0, 12895296, 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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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'dual_embedding_index': 5, 'dual_embedding_m': 5, 'embedding_index': 5, 'embedding_m': 5, 'embedding_root_imag': 0.0, 'embedding_root_real': 15.591952423487514, 'hecke_orbit': 6, 'hecke_orbit_code': 22517998271070329, 'label': '121.8.a.f.1.5', 'level': 121, 'weight': 8}
• 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': [31, 28], 'ALdims_eis_new': [4, 5], 'ALdims_eis_old': [2, 1], 'ALdims_old': [6, 6], 'Nk2': 7744, 'analytic_conductor': 37.798588083578736, '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': [121, 1, [2], [1]], 'conrey_index': 1, 'cusp_dim': 71, 'dim': 59, 'eis_dim': 12, 'eis_new_dim': 9, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 134217849, 'hecke_orbit_dims': [1, 2, 4, 5, 5, 6, 12, 12, 12], 'label': '121.8.a', 'level': 121, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [11], 'level_radical': 11, 'mf_dim': 83, 'mf_new_dim': 68, 'num_forms': 9, 'plus_dim': 31, 'prim_orbit_index': 1, 'relative_dim': 59, 'sturm_bound': 88, 'trace_bound': 2, 'trace_display': [8, 54, -138, 1058], 'traces': [59, 8, 54, 3340, -138, -862, 1058, -60, 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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: 45080713
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 22517998271070329, 'source_is_minimal': True, 'source_label': '121.8.a.f.1.5', 'source_level': 121, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 22517998271070329, 'target_is_minimal': True, 'target_label': '121.8.a.f.1.5', 'target_level': 121, 'twist_class_label': '121.8.a.f.1.2', 'twist_class_level': 121, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 45080714
    {'conductor': 11, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 22517998271070329, 'source_is_minimal': True, 'source_label': '121.8.a.f.1.5', 'source_level': 121, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22517998271070329, 'target_is_minimal': True, 'target_label': '121.8.a.f.1.2', 'target_level': 121, 'twist_class_label': '121.8.a.f.1.2', 'twist_class_level': 121, 'twisting_char_label': '11.10', 'twisting_conrey_index': 10, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 343625
    {'charpoly_factorization': [[[-6022080, 0, 146056, 0, -742, 0, 1], 1]], 'hecke_orbit_code': 22517998271070329, 'p': 2}
  • id: 343626
    {'charpoly_factorization': [[[-34200, -4185, 8, 1], 2]], 'hecke_orbit_code': 22517998271070329, 'p': 3}
  • id: 343627
    {'charpoly_factorization': [[[23752950, -137215, -120, 1], 2]], 'hecke_orbit_code': 22517998271070329, 'p': 5}
  • id: 343628
    {'charpoly_factorization': [[[-2474543543306158080, 0, 7217612740096, 0, -4979152, 0, 1], 1]], 'hecke_orbit_code': 22517998271070329, 'p': 7}
  • id: 343629
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 22517998271070329, 'p': 11}
  • id: 343630
    {'charpoly_factorization': [[[-65822361502309684346880, 0, 7020540957021696, 0, -162477648, 0, 1], 1]], 'hecke_orbit_code': 22517998271070329, 'p': 13}
  • id: 343631
    {'charpoly_factorization': [[[-12570795344448097615872000, 0, 321538778388645376, 0, -1652582992, 0, 1], 1]], 'hecke_orbit_code': 22517998271070329, 'p': 17}
  • id: 343632
    {'charpoly_factorization': [[[-318993400448974533427200000, 0, 2017655691020224000, 0, -2769415120, 0, 1], 1]], 'hecke_orbit_code': 22517998271070329, 'p': 19}
  • id: 343633
    {'charpoly_factorization': [[[-27592496030700, -1902490645, 27552, 1], 2]], 'hecke_orbit_code': 22517998271070329, 'p': 23}
  • id: 343634
    {'charpoly_factorization': [[[-437631317359334937015091200000, 0, 338822321546116096000, 0, -48233869120, 0, 1], 1]], 'hecke_orbit_code': 22517998271070329, 'p': 29}
  • id: 343635
    {'charpoly_factorization': [[[-1934621729714700, -30118585965, 127280, 1], 2]], 'hecke_orbit_code': 22517998271070329, 'p': 31}
  • id: 343636
    {'charpoly_factorization': [[[-5818887888683350, -204209678335, 126136, 1], 2]], 'hecke_orbit_code': 22517998271070329, 'p': 37}
  • id: 343637
    {'charpoly_factorization': [[[-19723941763409109861675447091200000, 0, 239392785321842183104000, 0, -892127776720, 0, 1], 1]], 'hecke_orbit_code': 22517998271070329, 'p': 41}
  • id: 343638
    {'charpoly_factorization': [[[-5286839148943495468386417660395520, 0, 109574949044750027677696, 0, -652469962048, 0, 1], 1]], 'hecke_orbit_code': 22517998271070329, 'p': 43}
  • id: 343639
    {'charpoly_factorization': [[[24986884123406400, -268441984720, -186036, 1], 2]], 'hecke_orbit_code': 22517998271070329, 'p': 47}
  • id: 343640
    {'charpoly_factorization': [[[-252010093396750200, 1462553155980, -2473818, 1], 2]], 'hecke_orbit_code': 22517998271070329, 'p': 53}
  • id: 343641
    {'charpoly_factorization': [[[-3450872070483186960, 7885811803311, -5102952, 1], 2]], 'hecke_orbit_code': 22517998271070329, 'p': 59}
  • id: 343642
    {'charpoly_factorization': [[[-8080833122676102262590104194252800000, 0, 12372531536588760669184000, 0, -6176707497280, 0, 1], 1]], 'hecke_orbit_code': 22517998271070329, 'p': 61}
  • id: 343643
    {'charpoly_factorization': [[[-6367302064449050400, 6533561754135, 5863784, 1], 2]], 'hecke_orbit_code': 22517998271070329, 'p': 67}
  • id: 343644
    {'charpoly_factorization': [[[22843272755922098532, -19157458264789, -1931088, 1], 2]], 'hecke_orbit_code': 22517998271070329, 'p': 71}
  • id: 343645
    {'charpoly_factorization': [[[-4461210379019984271768872174581218017280, 0, 1057225698808038469613487616, 0, -60324922949968, 0, 1], 1]], 'hecke_orbit_code': 22517998271070329, 'p': 73}
  • id: 343646
    {'charpoly_factorization': [[[-4353662070737952653836286654467276800000, 0, 843948126389157920971776000, 0, -51845740879680, 0, 1], 1]], 'hecke_orbit_code': 22517998271070329, 'p': 79}
  • id: 343647
    {'charpoly_factorization': [[[-6683582766380482687892916266587410923520, 0, 1524063878258846890863886336, 0, -73899323542528, 0, 1], 1]], 'hecke_orbit_code': 22517998271070329, 'p': 83}
  • id: 343648
    {'charpoly_factorization': [[[-2369458688948251290, -5089341130315, -1827504, 1], 2]], 'hecke_orbit_code': 22517998271070329, 'p': 89}
  • id: 343649
    {'charpoly_factorization': [[[852041868124499650, -3761268161235, -5324784, 1], 2]], 'hecke_orbit_code': 22517998271070329, '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': 6, 'label': '121.8.a.f', 'level': 121, 'portrait': 'data:image/png;base64,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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 43830049
    {'hecke_orbit_code': 22517998271070329, 'n': 1, 'trace_an': 6}
  • id: 43830050
    {'hecke_orbit_code': 22517998271070329, 'n': 2, 'trace_an': 0}
  • id: 43830051
    {'hecke_orbit_code': 22517998271070329, 'n': 3, 'trace_an': -16}
  • id: 43830052
    {'hecke_orbit_code': 22517998271070329, 'n': 4, 'trace_an': 716}
  • id: 43830053
    {'hecke_orbit_code': 22517998271070329, 'n': 5, 'trace_an': 240}
  • id: 43830054
    {'hecke_orbit_code': 22517998271070329, 'n': 6, 'trace_an': 0}
  • id: 43830055
    {'hecke_orbit_code': 22517998271070329, 'n': 7, 'trace_an': 0}
  • id: 43830056
    {'hecke_orbit_code': 22517998271070329, 'n': 8, 'trace_an': 0}
  • id: 43830057
    {'hecke_orbit_code': 22517998271070329, 'n': 9, 'trace_an': 3746}
  • id: 43830058
    {'hecke_orbit_code': 22517998271070329, 'n': 10, 'trace_an': 0}
  • id: 43830059
    {'hecke_orbit_code': 22517998271070329, 'n': 11, 'trace_an': 0}
  • id: 43830060
    {'hecke_orbit_code': 22517998271070329, 'n': 12, 'trace_an': 27108}
  • id: 43830061
    {'hecke_orbit_code': 22517998271070329, 'n': 13, 'trace_an': 0}
  • id: 43830062
    {'hecke_orbit_code': 22517998271070329, 'n': 14, 'trace_an': -51264}
  • id: 43830063
    {'hecke_orbit_code': 22517998271070329, 'n': 15, 'trace_an': 88120}
  • id: 43830064
    {'hecke_orbit_code': 22517998271070329, 'n': 16, 'trace_an': 45352}
  • id: 43830065
    {'hecke_orbit_code': 22517998271070329, 'n': 17, 'trace_an': 0}
  • id: 43830066
    {'hecke_orbit_code': 22517998271070329, 'n': 18, 'trace_an': 0}
  • id: 43830067
    {'hecke_orbit_code': 22517998271070329, 'n': 19, 'trace_an': 0}
  • id: 43830068
    {'hecke_orbit_code': 22517998271070329, 'n': 20, 'trace_an': 81900}
  • id: 43830069
    {'hecke_orbit_code': 22517998271070329, 'n': 21, 'trace_an': 0}
  • id: 43830070
    {'hecke_orbit_code': 22517998271070329, 'n': 22, 'trace_an': 0}
  • id: 43830071
    {'hecke_orbit_code': 22517998271070329, 'n': 23, 'trace_an': -55104}
  • id: 43830072
    {'hecke_orbit_code': 22517998271070329, 'n': 24, 'trace_an': 0}
  • id: 43830073
    {'hecke_orbit_code': 22517998271070329, 'n': 25, 'trace_an': 108910}
  • id: 43830074
    {'hecke_orbit_code': 22517998271070329, 'n': 26, 'trace_an': 56928}
  • id: 43830075
    {'hecke_orbit_code': 22517998271070329, 'n': 27, 'trace_an': 73280}
  • id: 43830076
    {'hecke_orbit_code': 22517998271070329, 'n': 28, 'trace_an': 0}
  • id: 43830077
    {'hecke_orbit_code': 22517998271070329, 'n': 29, 'trace_an': 0}
  • id: 43830078
    {'hecke_orbit_code': 22517998271070329, 'n': 30, 'trace_an': 0}
  • id: 43830079
    {'hecke_orbit_code': 22517998271070329, 'n': 31, 'trace_an': -254560}
  • id: 43830080
    {'hecke_orbit_code': 22517998271070329, 'n': 32, 'trace_an': 0}
  • id: 43830081
    {'hecke_orbit_code': 22517998271070329, 'n': 33, 'trace_an': 0}
  • id: 43830082
    {'hecke_orbit_code': 22517998271070329, 'n': 34, 'trace_an': -2103776}
  • id: 43830083
    {'hecke_orbit_code': 22517998271070329, 'n': 35, 'trace_an': 0}
  • id: 43830084
    {'hecke_orbit_code': 22517998271070329, 'n': 36, 'trace_an': 2027544}
  • id: 43830085
    {'hecke_orbit_code': 22517998271070329, 'n': 37, 'trace_an': -252272}
  • id: 43830086
    {'hecke_orbit_code': 22517998271070329, 'n': 38, 'trace_an': 2154240}
  • id: 43830087
    {'hecke_orbit_code': 22517998271070329, 'n': 39, 'trace_an': 0}
  • id: 43830088
    {'hecke_orbit_code': 22517998271070329, 'n': 40, 'trace_an': 0}
  • id: 43830089
    {'hecke_orbit_code': 22517998271070329, 'n': 41, 'trace_an': 0}
  • id: 43830090
    {'hecke_orbit_code': 22517998271070329, 'n': 42, 'trace_an': 790240}
  • id: 43830091
    {'hecke_orbit_code': 22517998271070329, 'n': 43, 'trace_an': 0}
  • id: 43830092
    {'hecke_orbit_code': 22517998271070329, 'n': 44, 'trace_an': 0}
  • id: 43830093
    {'hecke_orbit_code': 22517998271070329, 'n': 45, 'trace_an': -1092740}
  • id: 43830094
    {'hecke_orbit_code': 22517998271070329, 'n': 46, 'trace_an': 0}
  • id: 43830095
    {'hecke_orbit_code': 22517998271070329, 'n': 47, 'trace_an': 372072}
  • id: 43830096
    {'hecke_orbit_code': 22517998271070329, 'n': 48, 'trace_an': 7846456}
  • id: 43830097
    {'hecke_orbit_code': 22517998271070329, 'n': 49, 'trace_an': 5017046}
  • id: 43830098
    {'hecke_orbit_code': 22517998271070329, 'n': 50, 'trace_an': 0}
  • id: 43830099
    {'hecke_orbit_code': 22517998271070329, 'n': 51, 'trace_an': 0}
  • id: 43830100
    {'hecke_orbit_code': 22517998271070329, 'n': 52, 'trace_an': 0}
  • id: 43830101
    {'hecke_orbit_code': 22517998271070329, 'n': 53, 'trace_an': 4947636}
  • id: 43830102
    {'hecke_orbit_code': 22517998271070329, 'n': 54, 'trace_an': 0}
  • id: 43830103
    {'hecke_orbit_code': 22517998271070329, 'n': 55, 'trace_an': 0}
  • id: 43830104
    {'hecke_orbit_code': 22517998271070329, 'n': 56, 'trace_an': -9608160}
  • id: 43830105
    {'hecke_orbit_code': 22517998271070329, 'n': 57, 'trace_an': 0}
  • id: 43830106
    {'hecke_orbit_code': 22517998271070329, 'n': 58, 'trace_an': 3784000}
  • id: 43830107
    {'hecke_orbit_code': 22517998271070329, 'n': 59, 'trace_an': 10205904}
  • id: 43830108
    {'hecke_orbit_code': 22517998271070329, 'n': 60, 'trace_an': 18925140}
  • id: 43830109
    {'hecke_orbit_code': 22517998271070329, 'n': 61, 'trace_an': 0}
  • id: 43830110
    {'hecke_orbit_code': 22517998271070329, 'n': 62, 'trace_an': 0}
  • id: 43830111
    {'hecke_orbit_code': 22517998271070329, 'n': 63, 'trace_an': 0}
  • id: 43830112
    {'hecke_orbit_code': 22517998271070329, 'n': 64, 'trace_an': 5409808}
  • id: 43830113
    {'hecke_orbit_code': 22517998271070329, 'n': 65, 'trace_an': 0}
  • id: 43830114
    {'hecke_orbit_code': 22517998271070329, 'n': 66, 'trace_an': 0}
  • id: 43830115
    {'hecke_orbit_code': 22517998271070329, 'n': 67, 'trace_an': -11727568}
  • id: 43830116
    {'hecke_orbit_code': 22517998271070329, 'n': 68, 'trace_an': 0}
  • id: 43830117
    {'hecke_orbit_code': 22517998271070329, 'n': 69, 'trace_an': 7645372}
  • id: 43830118
    {'hecke_orbit_code': 22517998271070329, 'n': 70, 'trace_an': 12576640}
  • id: 43830119
    {'hecke_orbit_code': 22517998271070329, 'n': 71, 'trace_an': 3862176}
  • id: 43830120
    {'hecke_orbit_code': 22517998271070329, 'n': 72, 'trace_an': 0}
  • id: 43830121
    {'hecke_orbit_code': 22517998271070329, 'n': 73, 'trace_an': 0}
  • id: 43830122
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