Embedded newform data - 1216.4.a.b.1.1

Formats: - HTML - YAML - JSON - 2023-06-04T17:29:43.451203

• 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_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': 19456, 'analytic_conductor': 71.74632256698058, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [19, -1]], 'atkin_lehner_string': '--', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1216, 1, [191, 837, 705], [1, 1, 1]], 'cm_discs': [], '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': [[3, [2, 1]], [5, [-9, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599694480576, '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': '1216.4.a.b', 'level': 1216, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 19], 'level_radical': 38, 'minimal_twist': '38.4.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2q^{3}+9q^{5}+31q^{7}-23q^{9}+57q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1216.4.a', 'trace_display': [0, -2, 9, 31], 'trace_hash': 1929826342342224901, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.016', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.005', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.048', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.015', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.149', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.029', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [1, 0, -2, 0, 9, 0, 31, 0, -23, 0, 57, 0, 52, 0, -18, 0, 69, 0, 19, 0, -62, 0, 72, 0, -44, 0, 100, 0, 150, 0, -32, 0, -114, 0, 279, 0, 226, 0, -104, 0, -258, 0, -67, 0, -207, 0, -579, 0, 618, 0, -138, 0, 432, 0, 513, 0, -38, 0, -330, 0, 13, 0, -713, 0, 468, 0, -856, 0, -144, 0, -642, 0, -487, 0, 88, 0, 1767, 0, 700, 0, 421, 0, -12, 0, 621, 0, -300, 0, -600, 0, 1612, 0, 64, 0, 171, 0, 1424, 0, -1311, 0, -1062, 0, -1178, 0, -558, 0, 114, 0, -1460, 0, -452, 0, -822, 0, 648, 0, -1196, 0, 2139, 0, 1918, 0, 516, 0, -1521, 0, 2086, 0, 134, 0, -93, 0, 589, 0, 900, 0, 1269, 0, -1975, 0, 1158, 0, 2964, 0, 1350, 0, -1236, 0, 1695, 0, -1802, 0, -1587, 0, -288, 0, 3226, 0, -864, 0, 2232, 0, 1268, 0, -1026, 0, -654, 0, 507, 0, -437, 0, 1362, 0, -1364, 0, 660, 0, -210, 0, -2, 0, -26, 0, 2034, 0, 3933, 0, 3100, 0, 2643, 0, 3248, 0, -936, 0, 3126, 0, 2995, 0, 1712, 0, 4650, 0, -2322, 0, -1656, 0, 1083, 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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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-0.30539602726384896, -0.28650295442060625, -0.09381326022013439, -0.2821222341674414, -0.36410905723759285, -0.19205208467227725, -0.24890602190755393, -0.33989270381374675, -0.34506176418468104, -0.21142377040891902, -0.21001664028044043, -0.25593327150536127, -0.2750875132657544, -0.3498734132045227, -0.22230958562182798, -0.25395610695502635, -0.26099973598323845, -0.2487514365987016, -0.23125909934464908, -0.15592293615274552, -0.16855742720897235, -0.4150805030136331, -0.09885190409907807, -0.18525077277467247, -0.10174080311479029], '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': 4503599694480576, 'label': '1216.4.a.b.1.1', 'level': 1216, 'weight': 4}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_indexes	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], [19, -1]], 29, 8], [[[2, 1], [19, -1]], 25, 9], [[[2, 1], [19, 1]], 28, 10], [[[2, -1], [19, 1]], 26, 7]], 'Nk2': 19456, 'analytic_conductor': 71.74632256698058, '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': [1216, 1, [191, 837, 705], [1, 1, 1]], 'conrey_indexes': [1], 'cusp_dim': 468, 'dim': 108, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 67110080, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5, 5, 7, 7, 7, 7], 'label': '1216.4.a', 'level': 1216, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 19], 'level_radical': 38, 'mf_dim': 492, 'mf_new_dim': 108, 'num_forms': 34, 'plus_dim': 57, 'prim_orbit_index': 1, 'relative_dim': 108, 'sturm_bound': 640, 'trace_bound': 5, 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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: 34307391
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694480576, 'source_is_minimal': False, 'source_label': '1216.4.a.b.1.1', 'source_level': 1216, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599694480576, 'target_is_minimal': False, 'target_label': '1216.4.a.b.1.1', 'target_level': 1216, 'twist_class_label': '38.4.a.a.1.1', 'twist_class_level': 38, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 34307392
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694480576, 'source_is_minimal': False, 'source_label': '1216.4.a.b.1.1', 'source_level': 1216, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398576592064, 'target_is_minimal': False, 'target_label': '1216.4.a.e.1.1', 'target_level': 1216, 'twist_class_label': '38.4.a.a.1.1', 'twist_class_level': 38, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 34307393
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694480576, 'source_is_minimal': False, 'source_label': '1216.4.a.b.1.1', 'source_level': 1216, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67108902, 'target_is_minimal': True, 'target_label': '38.4.a.a.1.1', 'target_level': 38, 'twist_class_label': '38.4.a.a.1.1', 'twist_class_level': 38, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 34307394
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694480576, 'source_is_minimal': False, 'source_label': '1216.4.a.b.1.1', 'source_level': 1216, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67109168, 'target_is_minimal': False, 'target_label': '304.4.a.a.1.1', 'target_level': 304, 'twist_class_label': '38.4.a.a.1.1', 'twist_class_level': 38, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 34307395
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694480576, 'source_is_minimal': False, 'source_label': '1216.4.a.b.1.1', 'source_level': 1216, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798949220694, 'target_is_minimal': False, 'target_label': '342.4.a.d.1.1', 'target_level': 342, 'twist_class_label': '38.4.a.a.1.1', 'twist_class_level': 38, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 34307396
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694480576, 'source_is_minimal': False, 'source_label': '1216.4.a.b.1.1', 'source_level': 1216, 'target_conrey_index': 799, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510867668698038, 'target_is_minimal': False, 'target_label': '950.4.b.d.799.2', 'target_level': 950, 'twist_class_label': '38.4.a.a.1.1', 'twist_class_level': 38, 'twisting_char_label': '40.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 34307397
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694480576, 'source_is_minimal': False, 'source_label': '1216.4.a.b.1.1', 'source_level': 1216, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798949221302, 'target_is_minimal': False, 'target_label': '950.4.a.d.1.1', 'target_level': 950, 'twist_class_label': '38.4.a.a.1.1', 'twist_class_level': 38, 'twisting_char_label': '40.19', 'twisting_conrey_index': 19, 'weight': 4}
  • id: 34307398
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694480576, 'source_is_minimal': False, 'source_label': '1216.4.a.b.1.1', 'source_level': 1216, 'target_conrey_index': 799, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510867668698038, 'target_is_minimal': False, 'target_label': '950.4.b.d.799.1', 'target_level': 950, 'twist_class_label': '38.4.a.a.1.1', 'twist_class_level': 38, 'twisting_char_label': '40.27', 'twisting_conrey_index': 27, 'weight': 4}
  • id: 34307399
    {'conductor': 56, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694480576, 'source_is_minimal': False, 'source_label': '1216.4.a.b.1.1', 'source_level': 1216, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67110726, 'target_is_minimal': False, 'target_label': '1862.4.a.a.1.1', 'target_level': 1862, 'twist_class_label': '38.4.a.a.1.1', 'twist_class_level': 38, 'twisting_char_label': '56.27', 'twisting_conrey_index': 27, 'weight': 4}
  • id: 34307400
    {'conductor': 152, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694480576, 'source_is_minimal': False, 'source_label': '1216.4.a.b.1.1', 'source_level': 1216, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798949221074, 'target_is_minimal': False, 'target_label': '722.4.a.d.1.1', 'target_level': 722, 'twist_class_label': '38.4.a.a.1.1', 'twist_class_level': 38, 'twisting_char_label': '152.75', 'twisting_conrey_index': 75, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1776500
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 2}
  • id: 1776501
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 3}
  • id: 1776502
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 5}
  • id: 1776503
    {'charpoly_factorization': [[[-31, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 7}
  • id: 1776504
    {'charpoly_factorization': [[[-57, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 11}
  • id: 1776505
    {'charpoly_factorization': [[[-52, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 13}
  • id: 1776506
    {'charpoly_factorization': [[[-69, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 17}
  • id: 1776507
    {'charpoly_factorization': [[[-19, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 19}
  • id: 1776508
    {'charpoly_factorization': [[[-72, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 23}
  • id: 1776509
    {'charpoly_factorization': [[[-150, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 29}
  • id: 1776510
    {'charpoly_factorization': [[[32, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 31}
  • id: 1776511
    {'charpoly_factorization': [[[-226, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 37}
  • id: 1776512
    {'charpoly_factorization': [[[258, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 41}
  • id: 1776513
    {'charpoly_factorization': [[[67, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 43}
  • id: 1776514
    {'charpoly_factorization': [[[579, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 47}
  • id: 1776515
    {'charpoly_factorization': [[[-432, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 53}
  • id: 1776516
    {'charpoly_factorization': [[[330, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 59}
  • id: 1776517
    {'charpoly_factorization': [[[-13, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 61}
  • id: 1776518
    {'charpoly_factorization': [[[856, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 67}
  • id: 1776519
    {'charpoly_factorization': [[[642, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 71}
  • id: 1776520
    {'charpoly_factorization': [[[487, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 73}
  • id: 1776521
    {'charpoly_factorization': [[[-700, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 79}
  • id: 1776522
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 83}
  • id: 1776523
    {'charpoly_factorization': [[[600, 1], 1]], 'hecke_orbit_code': 4503599694480576, 'p': 89}
  • id: 1776524
    {'charpoly_factorization': [[[-1424, 1], 1]], 'hecke_orbit_code': 4503599694480576, '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': '1216.4.a.b', 'level': 1216, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 73283000
    {'hecke_orbit_code': 4503599694480576, 'n': 1, 'trace_an': 1}
  • id: 73283001
    {'hecke_orbit_code': 4503599694480576, 'n': 2, 'trace_an': 0}
  • id: 73283002
    {'hecke_orbit_code': 4503599694480576, 'n': 3, 'trace_an': -2}
  • id: 73283003
    {'hecke_orbit_code': 4503599694480576, 'n': 4, 'trace_an': 0}
  • id: 73283004
    {'hecke_orbit_code': 4503599694480576, 'n': 5, 'trace_an': 9}
  • id: 73283005
    {'hecke_orbit_code': 4503599694480576, 'n': 6, 'trace_an': 0}
  • id: 73283006
    {'hecke_orbit_code': 4503599694480576, 'n': 7, 'trace_an': 31}
  • id: 73283007
    {'hecke_orbit_code': 4503599694480576, 'n': 8, 'trace_an': 0}
  • id: 73283008
    {'hecke_orbit_code': 4503599694480576, 'n': 9, 'trace_an': -23}
  • id: 73283009
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  • id: 73283020
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  • id: 73283977
    {'hecke_orbit_code': 4503599694480576, 'n': 978, 'trace_an': 0}
  • id: 73283978
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  • id: 73283979
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  • id: 73283980
    {'hecke_orbit_code': 4503599694480576, 'n': 981, 'trace_an': 33580}
  • id: 73283981
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  • id: 73283982
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  • id: 73283983
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  • id: 73283984
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  • id: 73283985
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  • id: 73283986
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  • id: 73283987
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  • id: 73283988
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  • id: 73283989
    {'hecke_orbit_code': 4503599694480576, 'n': 990, 'trace_an': 0}
  • id: 73283990
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  • id: 73283991
    {'hecke_orbit_code': 4503599694480576, 'n': 992, 'trace_an': 0}
  • id: 73283992
    {'hecke_orbit_code': 4503599694480576, 'n': 993, 'trace_an': 16736}
  • id: 73283993
    {'hecke_orbit_code': 4503599694480576, 'n': 994, 'trace_an': 0}
  • id: 73283994
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  • id: 73283995
    {'hecke_orbit_code': 4503599694480576, 'n': 996, 'trace_an': 0}
  • id: 73283996
    {'hecke_orbit_code': 4503599694480576, 'n': 997, 'trace_an': -389}
  • id: 73283997
    {'hecke_orbit_code': 4503599694480576, 'n': 998, 'trace_an': 0}
  • id: 73283998
    {'hecke_orbit_code': 4503599694480576, 'n': 999, 'trace_an': 22600}
  • id: 73283999
    {'hecke_orbit_code': 4503599694480576, 'n': 1000, 'trace_an': 0}