Embedded newform data - 15.12.a.d.1.2

Formats: - HTML - YAML - JSON - 2024-04-30T13:24:46.466616

• 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': 2160, 'analytic_conductor': 11.525147708393833, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, -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': [15, 1, [11, 7], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 3, 'field_disc': 717127489, 'field_disc_factorization': [[13, 1], [4903, 1], [11251, 1]], 'field_poly': [-7248, -5450, -1, 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, [7248, -5450, 1, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510799083438095, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 30, 'hecke_ring_index_factorization': [[2, 1], [3, 1], [5, 1]], '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': '15.12.a.d', 'level': 15, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 5], 'level_radical': 15, 'minimal_twist': '15.12.a.d', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{1}q^{2}+3^{5}q^{3}+(1585+3\\beta _{1}+\\beta _{2})q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '11.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '15.12.a', 'trace_display': [-1, 729, 9375, -14608], 'trace_hash': 1782618755667438971, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.836', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '21.477', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '250.846', 'prec': 24}], 'trace_zratio': 0, 'traces': [3, -1, 729, 4757, 9375, -243, -14608, -33999, 177147, -3125, 540620, 1155951, 840970, 5432712, 2278125, 5062961, 15165038, -59049, 17743756, 14865625, -3549744, 11176076, -28140816, -8261757, 29296875, -52021894, 43046721, -277157944, -67382798, -759375, -206919496, -46592663, 131370660, -1230469666, -45650000, 280896093, -318337278, 653190692, 204355710, -106246875, 2110085854, 1320149016, 418259692, 2558131108, 553584375, -137169096, -1599668584, 1230299523, -316107077, -9765625, 3685104234, -10897289202, 4489142234, -14348907, 1689437500, 7768845960, 4311732708, -24168830726, 11102167484, 3612346875, -3568120958, -35509109136, -862587792, -35608208271, 2628031250, 2715786468, 2229942788, -1367872838, -6838218288, 16977225000, 49842766696, -2007606951, 40752219934, -37519971278, 7119140625, 115970329116, -17819224896, -12641320242, 113159960, 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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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[-0.036775261359594094, 0.0], [0.2036235791230514, 0.0], [-0.07436652731760297, 0.0], [0.45909793613244, 0.0], [1.8528188022832588, 0.0], [-0.48053037125315184, 0.0], [-0.0011259101104254194, 0.0], [-1.3293005896227161, 0.0], [-0.07715511532910244, 0.0], [-0.05228142377918317, 0.0], [0.042196900591495605, 0.0], [-0.7602046708561528, 0.0], [-0.22556710887070397, 0.0], [-0.19812134196961434, 0.0], [-0.0027010462857286117, 0.0], [-0.11430314602663301, 0.0], [-0.005257643309058303, 0.0]], 'angles': [-0.24766003320124227, None, None, -0.17679541508292132, -0.27049733664289627, -0.049310023569681186, -0.08029031600149457, -0.33091480268000634, -0.18862147063060897, -0.3784484380156065, -0.32212728161550425, -0.297987783145744, -0.15887120781861333, -0.3017343473933496, -0.1760989612131761, -0.1897645015626212, -0.3347594743336571, -0.2201173741563699, -0.3171631430301017, -0.1002197817914946, -0.2385371113023445, -0.19690911360089328, -0.21868093937214864, -0.35311118229641325, 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-0.07613477108731613, -0.2958243789968913, -0.2607194912929067, -0.25697514227278806, -0.3657097293258701, -0.26579189531614855], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.3306654753858551, 'hecke_orbit': 4, 'hecke_orbit_code': 13510799083438095, 'label': '15.12.a.d.1.2', 'level': 15, 'weight': 12}
• 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': [[[[3, -1], [5, -1]], 3, 1], [[[3, 1], [5, 1]], 2, 1], [[[3, 1], [5, -1]], 1, 1], [[[3, -1], [5, 1]], 2, 1]], 'ALdims': [2, 1, 2, 3], 'Nk2': 2160, 'analytic_conductor': 11.525147708393833, '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': [15, 1, [11, 7], [1, 1]], 'conrey_index': 1, 'cusp_dim': 20, 'dim': 8, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 201326607, 'hecke_orbit_dims': [1, 2, 2, 3], 'label': '15.12.a', 'level': 15, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 5], 'level_radical': 15, 'mf_dim': 24, 'mf_new_dim': 8, 'num_forms': 4, 'plus_dim': 5, 'prim_orbit_index': 1, 'relative_dim': 8, 'sturm_bound': 24, 'trace_bound': 2, 'trace_display': [-92, 486, 0, 10296], 'traces': [8, -92, 486, 2098, 0, 11178, 10296, 36156, 472392, -68750, 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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: 42988935
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13510799083438095, 'source_is_minimal': True, 'source_label': '15.12.a.d.1.2', 'source_level': 15, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510799083438095, 'target_is_minimal': True, 'target_label': '15.12.a.d.1.2', 'target_level': 15, 'twist_class_label': '15.12.a.d.1.2', 'twist_class_level': 15, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 12}
  • id: 42988936
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13510799083438095, 'source_is_minimal': True, 'source_label': '15.12.a.d.1.2', 'source_level': 15, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22517998338179117, 'target_is_minimal': False, 'target_label': '45.12.a.f.1.2', 'target_level': 45, 'twist_class_label': '15.12.a.d.1.2', 'twist_class_level': 15, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 12}
  • id: 42988937
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13510799083438095, 'source_is_minimal': True, 'source_label': '15.12.a.d.1.2', 'source_level': 15, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 76561193866625264, 'target_is_minimal': False, 'target_label': '240.12.a.r.1.1', 'target_level': 240, 'twist_class_label': '15.12.a.d.1.2', 'twist_class_level': 15, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 12}
  • id: 42988938
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13510799083438095, 'source_is_minimal': True, 'source_label': '15.12.a.d.1.2', 'source_level': 15, 'target_conrey_index': 49, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18014467430285387, 'target_is_minimal': False, 'target_label': '75.12.b.e.49.4', 'target_level': 75, 'twist_class_label': '15.12.a.d.1.2', 'twist_class_level': 15, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 12}
  • id: 42988939
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13510799083438095, 'source_is_minimal': True, 'source_label': '15.12.a.d.1.2', 'source_level': 15, 'target_conrey_index': 49, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18014467430285387, 'target_is_minimal': False, 'target_label': '75.12.b.e.49.3', 'target_level': 75, 'twist_class_label': '15.12.a.d.1.2', 'twist_class_level': 15, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 12}
  • id: 42988940
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13510799083438095, 'source_is_minimal': True, 'source_label': '15.12.a.d.1.2', 'source_level': 15, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021597965549643, 'target_is_minimal': False, 'target_label': '75.12.a.g.1.2', 'target_level': 75, 'twist_class_label': '15.12.a.d.1.2', 'twist_class_level': 15, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 12}
  • id: 42988941
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13510799083438095, 'source_is_minimal': True, 'source_label': '15.12.a.d.1.2', 'source_level': 15, 'target_conrey_index': 199, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 40532465567138017, 'target_is_minimal': False, 'target_label': '225.12.b.j.199.3', 'target_level': 225, 'twist_class_label': '15.12.a.d.1.2', 'twist_class_level': 15, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 12}
  • id: 42988942
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13510799083438095, 'source_is_minimal': True, 'source_label': '15.12.a.d.1.2', 'source_level': 15, 'target_conrey_index': 199, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 40532465567138017, 'target_is_minimal': False, 'target_label': '225.12.b.j.199.4', 'target_level': 225, 'twist_class_label': '15.12.a.d.1.2', 'twist_class_level': 15, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 12}
  • id: 42988943
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13510799083438095, 'source_is_minimal': True, 'source_label': '15.12.a.d.1.2', 'source_level': 15, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49539596102402273, 'target_is_minimal': False, 'target_label': '225.12.a.l.1.2', 'target_level': 225, 'twist_class_label': '15.12.a.d.1.2', 'twist_class_level': 15, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 12}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 61675
    {'charpoly_factorization': [[[7248, -5450, 1, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 2}
  • id: 61676
    {'charpoly_factorization': [[[-243, 1], 3]], 'hecke_orbit_code': 13510799083438095, 'p': 3}
  • id: 61677
    {'charpoly_factorization': [[[-3125, 1], 3]], 'hecke_orbit_code': 13510799083438095, 'p': 5}
  • id: 61678
    {'charpoly_factorization': [[[22343152527360, -2701239744, 14608, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 7}
  • id: 61679
    {'charpoly_factorization': [[[14830215325265856, 15089109808, -540620, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 11}
  • id: 61680
    {'charpoly_factorization': [[[-1476259391271090104, -3778885825012, -840970, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 13}
  • id: 61681
    {'charpoly_factorization': [[[659383579536221605464, -13951079956052, -15165038, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 17}
  • id: 61682
    {'charpoly_factorization': [[[1860361322146237009600, -119813313105040, -17743756, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 19}
  • id: 61683
    {'charpoly_factorization': [[[-15261072378302185021440, -535624246881216, 28140816, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 23}
  • id: 61684
    {'charpoly_factorization': [[[-3825383401941402570048600, -38681956469295380, 67382798, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 29}
  • id: 61685
    {'charpoly_factorization': [[[-7868968594352109186048000, -46976106359056896, 206919496, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 31}
  • id: 61686
    {'charpoly_factorization': [[[-15676250654929457660650520, -45584986012094484, 318337278, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 37}
  • id: 61687
    {'charpoly_factorization': [[[-310313100409646195372546280, 1436051545177990444, -2110085854, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 41}
  • id: 61688
    {'charpoly_factorization': [[[-217708024061760386753801792, -990235355219183824, -418259692, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 43}
  • id: 61689
    {'charpoly_factorization': [[[-2691263803344906305486413824, -2324814203418599936, 1599668584, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 47}
  • id: 61690
    {'charpoly_factorization': [[[9296627119385928227136111240, 906038168390607244, -4489142234, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 53}
  • id: 61691
    {'charpoly_factorization': [[[358497282039270045885234398400, -28719598289716062800, -11102167484, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 59}
  • id: 61692
    {'charpoly_factorization': [[[217442530535253335245678494568, -103150113855353259604, 3568120958, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 61}
  • id: 61693
    {'charpoly_factorization': [[[286817216572325204287996025664, -70458657524618044752, -2229942788, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 67}
  • id: 61694
    {'charpoly_factorization': [[[-3394090259840693591673678355968, 759072818593720391872, -49842766696, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 71}
  • id: 61695
    {'charpoly_factorization': [[[-483466184744980716774254273000, 287041169840023288364, -40752219934, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 73}
  • id: 61696
    {'charpoly_factorization': [[[1488740586220624924515790080000, -401863265471127475200, -113159960, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 79}
  • id: 61697
    {'charpoly_factorization': [[[-117410591402985983852072788416, -100710033978789712080, -6259660308, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 83}
  • id: 61698
    {'charpoly_factorization': [[[-324399002655177271248584433417000, -5331546356781106798740, 59972401554, 1], 1]], 'hecke_orbit_code': 13510799083438095, 'p': 89}
  • id: 61699
    {'charpoly_factorization': [[[-290339947330718884352914952529416, 7046423113002564112908, 207831285882, 1], 1]], 'hecke_orbit_code': 13510799083438095, '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': 4, 'label': '15.12.a.d', 'level': 15, 'portrait': 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', 'weight': 12}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 137681000
    {'hecke_orbit_code': 13510799083438095, 'n': 1, 'trace_an': 3}
  • id: 137681001
    {'hecke_orbit_code': 13510799083438095, 'n': 2, 'trace_an': -1}
  • id: 137681002
    {'hecke_orbit_code': 13510799083438095, 'n': 3, 'trace_an': 729}
  • id: 137681003
    {'hecke_orbit_code': 13510799083438095, 'n': 4, 'trace_an': 4757}
  • id: 137681004
    {'hecke_orbit_code': 13510799083438095, 'n': 5, 'trace_an': 9375}
  • id: 137681005
    {'hecke_orbit_code': 13510799083438095, 'n': 6, 'trace_an': -243}
  • id: 137681006
    {'hecke_orbit_code': 13510799083438095, 'n': 7, 'trace_an': -14608}
  • id: 137681007
    {'hecke_orbit_code': 13510799083438095, 'n': 8, 'trace_an': -33999}
  • id: 137681008
    {'hecke_orbit_code': 13510799083438095, 'n': 9, 'trace_an': 177147}
  • id: 137681009
    {'hecke_orbit_code': 13510799083438095, 'n': 10, 'trace_an': -3125}
  • id: 137681010
    {'hecke_orbit_code': 13510799083438095, 'n': 11, 'trace_an': 540620}
  • id: 137681011
    {'hecke_orbit_code': 13510799083438095, 'n': 12, 'trace_an': 1155951}
  • id: 137681012
    {'hecke_orbit_code': 13510799083438095, 'n': 13, 'trace_an': 840970}
  • id: 137681013
    {'hecke_orbit_code': 13510799083438095, 'n': 14, 'trace_an': 5432712}
  • id: 137681014
    {'hecke_orbit_code': 13510799083438095, 'n': 15, 'trace_an': 2278125}
  • id: 137681015
    {'hecke_orbit_code': 13510799083438095, 'n': 16, 'trace_an': 5062961}
  • id: 137681016
    {'hecke_orbit_code': 13510799083438095, 'n': 17, 'trace_an': 15165038}
  • id: 137681017
    {'hecke_orbit_code': 13510799083438095, 'n': 18, 'trace_an': -59049}
  • id: 137681018
    {'hecke_orbit_code': 13510799083438095, 'n': 19, 'trace_an': 17743756}
  • id: 137681019
    {'hecke_orbit_code': 13510799083438095, 'n': 20, 'trace_an': 14865625}
  • id: 137681020
    {'hecke_orbit_code': 13510799083438095, 'n': 21, 'trace_an': -3549744}
  • id: 137681021
    {'hecke_orbit_code': 13510799083438095, 'n': 22, 'trace_an': 11176076}
  • id: 137681022
    {'hecke_orbit_code': 13510799083438095, 'n': 23, 'trace_an': -28140816}
  • id: 137681023
    {'hecke_orbit_code': 13510799083438095, 'n': 24, 'trace_an': -8261757}
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