Embedded newform data - 105.8.a.b.1.1

Formats: - HTML - YAML - JSON - 2026-03-07T05:42:19.182283

• 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': 6720, 'analytic_conductor': 32.800427675832786, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 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': [105, 1, [71, 22, 31], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 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, [-18, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599761588329, '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_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '105.8.a.b', 'level': 105, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 5, 7], 'level_radical': 105, 'minimal_twist': '105.8.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+18q^{2}-3^{3}q^{3}+14^{2}q^{4}-5^{3}q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '105.8.a', 'trace_display': [18, -27, -125, 343], 'trace_hash': 1294541833143010198, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.969', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.926', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.849', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 18, -27, 196, -125, -486, 343, 1224, 729, -2250, -8016, -5292, -1786, 6174, 3375, -3056, 8358, 13122, -5884, -24500, -9261, -144288, -77700, -33048, 15625, -32148, -19683, 67228, 155742, 60750, -310000, -211680, 216432, 150444, -42875, 142884, -433618, -105912, 48222, -153000, 357942, -166698, -724492, -1571136, -91125, -1398600, 175320, 82512, 117649, 281250, -225666, -350056, 132198, -354294, 1002000, 419832, 158868, 2803356, 2648628, 661500, 835478, -5580000, 250047, -3419072, 223250, 3895776, 3486308, 1638168, 2097900, -771750, -2872260, 892296, 5951882, -7805124, -421875, -1153264, -2749488, 867996, -1680904, 382000, 531441, 6442956, 3577524, -1815156, -1044750, -13040856, -4205034, -9811584, -6254826, -1640250, -612598, -15229200, 8370000, 3155760, 735500, 5715360, -5257054, 2117682, -5843664, 3062500, 15024954, -4061988, -16006576, -2186064, 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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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-0.16188132952959094, -0.2754417234142485, -0.3048952009656317, -0.24052410622062653, -0.3973443191637706, -0.312228178626802, -0.13182445539488982, -0.20788995731173895, -0.34886744481802395, -0.4006331295624265, -0.20174781026190358, -0.32348524559767594, -0.15582115205852826, -0.270235035809264, -0.3871208537579432, -0.1710621708396525, -0.2580538510845044, -0.3220000111879923, -0.31451071839857947], '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': 4503599761588329, 'label': '105.8.a.b.1.1', 'level': 105, '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': [4, 2, 4, 4, 4, 4, 4, 2], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [1, 1, 1, 1, 1, 1, 1, 1], 'ALdims_old': [12, 10, 8, 10, 10, 10, 8, 12], 'Nk2': 6720, 'analytic_conductor': 32.800427675832786, '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': [105, 1, [71, 22, 31], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 108, 'dim': 28, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 134217833, 'hecke_orbit_dims': [1, 1, 2, 4, 4, 4, 4, 4, 4], 'label': '105.8.a', 'level': 105, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 5, 7], 'level_radical': 105, 'mf_dim': 116, 'mf_new_dim': 28, 'num_forms': 9, 'plus_dim': 16, 'prim_orbit_index': 1, 'relative_dim': 28, 'sturm_bound': 128, 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30113536400, 5833763208, 5034375000, -99969731680, -8549117136, 26223588600, 132786217808, 1782810000, 12463264464, 140014617120, -14893947360, 120991246864, 35580356000, -24526476000, -181150215960, 13169624944, -8558165160, 37936664000, 130179875424, 38136879000, 166056227632, 66640875776, -3375634500, 182943148592, 45248809256, 165740410224, -198812455952, 26710875000, 78915849264, -46237848832, -3763958064, -10901687616, -8495851000, -109562818568, 101605926096, -103887519104, 32828343408, -20790715500, -26587897156, 58527649376, -26380194696, 104066823152, -49276890000, 57129997680, 97087016912, -174985010156, -88663349952, 3967742000, -102183146400, 0, -11797317616, 16888476528, 7894125000, -110004047016, -163665513408, 21415711392, 86579836720, 0, -16637617080, -288505206568, -127320453872, 85264154928, 51510894000, -104466071296, -18893773584, -197482630224, 133680042176, 21213171000, -3684734464, 76662114632, 487429488, 22173523120, 9032541000, -106599358800, -124224185128, -91370143280, -6820080768, -8835937500], 'weight': 8, 'weight_parity': 1}
• 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: 34438729
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588329, 'source_is_minimal': True, 'source_label': '105.8.a.b.1.1', 'source_level': 105, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599761588329, 'target_is_minimal': True, 'target_label': '105.8.a.b.1.1', 'target_level': 105, 'twist_class_label': '105.8.a.b.1.1', 'twist_class_level': 105, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 34438730
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588329, 'source_is_minimal': True, 'source_label': '105.8.a.b.1.1', 'source_level': 105, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 134218043, 'target_is_minimal': False, 'target_label': '315.8.a.a.1.1', 'target_level': 315, 'twist_class_label': '105.8.a.b.1.1', 'twist_class_level': 105, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 34438731
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588329, 'source_is_minimal': True, 'source_label': '105.8.a.b.1.1', 'source_level': 105, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 134218253, 'target_is_minimal': False, 'target_label': '525.8.a.a.1.1', 'target_level': 525, 'twist_class_label': '105.8.a.b.1.1', 'twist_class_level': 105, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 298975
    {'charpoly_factorization': [[[-18, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 2}
  • id: 298976
    {'charpoly_factorization': [[[27, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 3}
  • id: 298977
    {'charpoly_factorization': [[[125, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 5}
  • id: 298978
    {'charpoly_factorization': [[[-343, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 7}
  • id: 298979
    {'charpoly_factorization': [[[8016, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 11}
  • id: 298980
    {'charpoly_factorization': [[[1786, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 13}
  • id: 298981
    {'charpoly_factorization': [[[-8358, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 17}
  • id: 298982
    {'charpoly_factorization': [[[5884, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 19}
  • id: 298983
    {'charpoly_factorization': [[[77700, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 23}
  • id: 298984
    {'charpoly_factorization': [[[-155742, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 29}
  • id: 298985
    {'charpoly_factorization': [[[310000, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 31}
  • id: 298986
    {'charpoly_factorization': [[[433618, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 37}
  • id: 298987
    {'charpoly_factorization': [[[-357942, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 41}
  • id: 298988
    {'charpoly_factorization': [[[724492, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 43}
  • id: 298989
    {'charpoly_factorization': [[[-175320, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 47}
  • id: 298990
    {'charpoly_factorization': [[[-132198, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 53}
  • id: 298991
    {'charpoly_factorization': [[[-2648628, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 59}
  • id: 298992
    {'charpoly_factorization': [[[-835478, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 61}
  • id: 298993
    {'charpoly_factorization': [[[-3486308, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 67}
  • id: 298994
    {'charpoly_factorization': [[[2872260, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 71}
  • id: 298995
    {'charpoly_factorization': [[[-5951882, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 73}
  • id: 298996
    {'charpoly_factorization': [[[1680904, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 79}
  • id: 298997
    {'charpoly_factorization': [[[-3577524, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 83}
  • id: 298998
    {'charpoly_factorization': [[[6254826, 1], 1]], 'hecke_orbit_code': 4503599761588329, 'p': 89}
  • id: 298999
    {'charpoly_factorization': [[[5257054, 1], 1]], 'hecke_orbit_code': 4503599761588329, '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': '105.8.a.b', 'level': 105, 'portrait': 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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 19548468
    {'hecke_orbit_code': 4503599761588329, 'n': 1, 'trace_an': 1}
  • id: 19548469
    {'hecke_orbit_code': 4503599761588329, 'n': 2, 'trace_an': 18}
  • id: 19548470
    {'hecke_orbit_code': 4503599761588329, 'n': 3, 'trace_an': -27}
  • id: 19548471
    {'hecke_orbit_code': 4503599761588329, 'n': 4, 'trace_an': 196}
  • id: 19548472
    {'hecke_orbit_code': 4503599761588329, 'n': 5, 'trace_an': -125}
  • id: 19548473
    {'hecke_orbit_code': 4503599761588329, 'n': 6, 'trace_an': -486}
  • id: 19548474
    {'hecke_orbit_code': 4503599761588329, 'n': 7, 'trace_an': 343}
  • id: 19548475
    {'hecke_orbit_code': 4503599761588329, 'n': 8, 'trace_an': 1224}
  • id: 19548476
    {'hecke_orbit_code': 4503599761588329, 'n': 9, 'trace_an': 729}
  • id: 19548477
    {'hecke_orbit_code': 4503599761588329, 'n': 10, 'trace_an': -2250}
  • id: 19548478
    {'hecke_orbit_code': 4503599761588329, 'n': 11, 'trace_an': -8016}
  • id: 19548479
    {'hecke_orbit_code': 4503599761588329, 'n': 12, 'trace_an': -5292}
  • id: 19548480
    {'hecke_orbit_code': 4503599761588329, 'n': 13, 'trace_an': -1786}
  • id: 19548481
    {'hecke_orbit_code': 4503599761588329, 'n': 14, 'trace_an': 6174}
  • id: 19548482
    {'hecke_orbit_code': 4503599761588329, 'n': 15, 'trace_an': 3375}
  • id: 19548483
    {'hecke_orbit_code': 4503599761588329, 'n': 16, 'trace_an': -3056}
  • id: 19548484
    {'hecke_orbit_code': 4503599761588329, 'n': 17, 'trace_an': 8358}
  • id: 19548485
    {'hecke_orbit_code': 4503599761588329, 'n': 18, 'trace_an': 13122}
  • id: 19548486
    {'hecke_orbit_code': 4503599761588329, 'n': 19, 'trace_an': -5884}
  • id: 19548487
    {'hecke_orbit_code': 4503599761588329, 'n': 20, 'trace_an': -24500}
  • id: 19548488
    {'hecke_orbit_code': 4503599761588329, 'n': 21, 'trace_an': -9261}
  • id: 19548489
    {'hecke_orbit_code': 4503599761588329, 'n': 22, 'trace_an': -144288}
  • id: 19548490
    {'hecke_orbit_code': 4503599761588329, 'n': 23, 'trace_an': -77700}
  • id: 19548491
    {'hecke_orbit_code': 4503599761588329, 'n': 24, 'trace_an': -33048}
  • id: 19548492
    {'hecke_orbit_code': 4503599761588329, 'n': 25, 'trace_an': 15625}
  • id: 19548493
    {'hecke_orbit_code': 4503599761588329, 'n': 26, 'trace_an': -32148}
  • id: 19548494
    {'hecke_orbit_code': 4503599761588329, 'n': 27, 'trace_an': -19683}
  • id: 19548495
    {'hecke_orbit_code': 4503599761588329, 'n': 28, 'trace_an': 67228}
  • id: 19548496
    {'hecke_orbit_code': 4503599761588329, 'n': 29, 'trace_an': 155742}
  • id: 19548497
    {'hecke_orbit_code': 4503599761588329, 'n': 30, 'trace_an': 60750}
  • id: 19548498
    {'hecke_orbit_code': 4503599761588329, 'n': 31, 'trace_an': -310000}
  • id: 19548499
    {'hecke_orbit_code': 4503599761588329, 'n': 32, 'trace_an': -211680}
  • id: 19548500
    {'hecke_orbit_code': 4503599761588329, 'n': 33, 'trace_an': 216432}
  • id: 19548501
    {'hecke_orbit_code': 4503599761588329, 'n': 34, 'trace_an': 150444}
  • id: 19548502
    {'hecke_orbit_code': 4503599761588329, 'n': 35, 'trace_an': -42875}
  • id: 19548503
    {'hecke_orbit_code': 4503599761588329, 'n': 36, 'trace_an': 142884}
  • id: 19548504
    {'hecke_orbit_code': 4503599761588329, 'n': 37, 'trace_an': -433618}
  • id: 19548505
    {'hecke_orbit_code': 4503599761588329, 'n': 38, 'trace_an': -105912}
  • id: 19548506
    {'hecke_orbit_code': 4503599761588329, 'n': 39, 'trace_an': 48222}
  • id: 19548507
    {'hecke_orbit_code': 4503599761588329, 'n': 40, 'trace_an': -153000}
  • id: 19548508
    {'hecke_orbit_code': 4503599761588329, 'n': 41, 'trace_an': 357942}
  • id: 19548509
    {'hecke_orbit_code': 4503599761588329, 'n': 42, 'trace_an': -166698}
  • id: 19548510
    {'hecke_orbit_code': 4503599761588329, 'n': 43, 'trace_an': -724492}
  • id: 19548511
    {'hecke_orbit_code': 4503599761588329, 'n': 44, 'trace_an': -1571136}
  • id: 19548512
    {'hecke_orbit_code': 4503599761588329, 'n': 45, 'trace_an': -91125}
  • id: 19548513
    {'hecke_orbit_code': 4503599761588329, 'n': 46, 'trace_an': -1398600}
  • id: 19548514
    {'hecke_orbit_code': 4503599761588329, 'n': 47, 'trace_an': 175320}
  • id: 19548515
    {'hecke_orbit_code': 4503599761588329, 'n': 48, 'trace_an': 82512}
  • id: 19548516
    {'hecke_orbit_code': 4503599761588329, 'n': 49, 'trace_an': 117649}
  • id: 19548517
    {'hecke_orbit_code': 4503599761588329, 'n': 50, 'trace_an': 281250}
  • id: 19548518
    {'hecke_orbit_code': 4503599761588329, 'n': 51, 'trace_an': -225666}
  • id: 19548519
    {'hecke_orbit_code': 4503599761588329, 'n': 52, 'trace_an': -350056}
  • id: 19548520
    {'hecke_orbit_code': 4503599761588329, 'n': 53, 'trace_an': 132198}
  • id: 19548521
    {'hecke_orbit_code': 4503599761588329, 'n': 54, 'trace_an': -354294}
  • id: 19548522
    {'hecke_orbit_code': 4503599761588329, 'n': 55, 'trace_an': 1002000}
  • id: 19548523
    {'hecke_orbit_code': 4503599761588329, 'n': 56, 'trace_an': 419832}
  • id: 19548524
    {'hecke_orbit_code': 4503599761588329, 'n': 57, 'trace_an': 158868}
  • id: 19548525
    {'hecke_orbit_code': 4503599761588329, 'n': 58, 'trace_an': 2803356}
  • id: 19548526
    {'hecke_orbit_code': 4503599761588329, 'n': 59, 'trace_an': 2648628}
  • id: 19548527
    {'hecke_orbit_code': 4503599761588329, 'n': 60, 'trace_an': 661500}
  • id: 19548528
    {'hecke_orbit_code': 4503599761588329, 'n': 61, 'trace_an': 835478}
  • id: 19548529
    {'hecke_orbit_code': 4503599761588329, 'n': 62, 'trace_an': -5580000}
  • id: 19548530
    {'hecke_orbit_code': 4503599761588329, 'n': 63, 'trace_an': 250047}
  • id: 19548531
    {'hecke_orbit_code': 4503599761588329, 'n': 64, 'trace_an': -3419072}
  • id: 19548532
    {'hecke_orbit_code': 4503599761588329, 'n': 65, 'trace_an': 223250}
  • id: 19548533
    {'hecke_orbit_code': 4503599761588329, 'n': 66, 'trace_an': 3895776}
  • id: 19548534
    {'hecke_orbit_code': 4503599761588329, 'n': 67, 'trace_an': 3486308}
  • id: 19548535
    {'hecke_orbit_code': 4503599761588329, 'n': 68, 'trace_an': 1638168}
  • id: 19548536
    {'hecke_orbit_code': 4503599761588329, 'n': 69, 'trace_an': 2097900}
  • id: 19548537
    {'hecke_orbit_code': 4503599761588329, 'n': 70, 'trace_an': -771750}
  • id: 19548538
    {'hecke_orbit_code': 4503599761588329, 'n': 71, 'trace_an': -2872260}
  • id: 19548539
    {'hecke_orbit_code': 4503599761588329, 'n': 72, 'trace_an': 892296}
  • id: 19548540
    {'hecke_orbit_code': 4503599761588329, 'n': 73, 'trace_an': 5951882}
  • id: 19548541
    {'hecke_orbit_code': 4503599761588329, 'n': 74, 'trace_an': -7805124}
  • id: 19548542
    {'hecke_orbit_code': 4503599761588329, 'n': 75, 'trace_an': -421875}
  • id: 19548543
    {'hecke_orbit_code': 4503599761588329, 'n': 76, 'trace_an': -1153264}
  • id: 19548544
    {'hecke_orbit_code': 4503599761588329, 'n': 77, 'trace_an': -2749488}
  • id: 19548545
    {'hecke_orbit_code': 4503599761588329, 'n': 78, 'trace_an': 867996}
  • id: 19548546
    {'hecke_orbit_code': 4503599761588329, 'n': 79, 'trace_an': -1680904}
  • id: 19548547
    {'hecke_orbit_code': 4503599761588329, 'n': 80, 'trace_an': 382000}
  • id: 19548548
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  • id: 19548555
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  • id: 19548619
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