Embedded newform data - 224.6.a.c.1.2

Formats: - HTML - YAML - JSON - 2024-04-25T03:39:09.423078

• 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': 8064, 'analytic_conductor': 35.92597563810766, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -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': [224, 1, [127, 197, 129], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 2, 'field_disc': 61, 'field_disc_factorization': [[61, 1]], 'field_poly': [-15, -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': [[3, [-12, 14, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199355404512, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 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': '224.6.a.c', 'level': 224, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'minimal_twist': '224.6.a.c', 'nf_label': '2.2.61.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-7-\\beta )q^{3}+(17-7\\beta )q^{5}-7^{2}q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '224.6.a', 'trace_display': [0, -14, 34, -98], 'trace_hash': 1680593864868892253, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.062', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.909', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.440', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.374', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.312', 'prec': 17}, {'__RealLiteral__': 0, 'data': '65.256', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, 0, -14, 0, 34, 0, -98, 0, -266, 0, 420, 0, -490, 0, 616, 0, -1056, 0, 1246, 0, 686, 0, -504, 0, 306, 0, 3556, 0, -3904, 0, 2044, 0, 2672, 0, -1666, 0, -7488, 0, 9408, 0, 7832, 0, 10332, 0, -16478, 0, 41972, 0, 4802, 0, 9100, 0, 32812, 0, 46424, 0, 21412, 0, 48398, 0, -718, 0, 13034, 0, 33516, 0, 12824, 0, 5480, 0, 103992, 0, -54100, 0, 26894, 0, -20580, 0, 64568, 0, 5830, 0, -47810, 0, -5996, 0, 93940, 0, -17388, 0, 24010, 0, -92632, 0, 232120, 0, -97296, 0, -134428, 0, 99962, 0, 117684, 0, -30184, 0, -117824, 0, 125288, 0, 50708, 0, -130304, 0, 5096, 0, -18522, 0, 51744, 0, 24250, 0, -193172, 0, 102204, 0, -41552, 0, 60656, 0, -266714, 0, -61054, 0, -176960, 0, 524, 0, -347102, 0, -190104, 0, 172088, 0, 399916, 0, -33614, 0, 116340, 0, 193648, 0, 116536, 0, -513520, 0, 263606, 0, 98252, 0, 24696, 0, -1198036, 0, -50224, 0, -363860, 0, -329614, 0, -587594, 0, -571986, 0, -14994, 0, -138828, 0, 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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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[0.04803879264049828, 0.0], [0.0, 0.0]], 'angles': [None, -0.24586329295887496, -0.13924922381069327, None, -0.12451378343666647, -0.23197807243886728, -0.2781051036223297, -0.09947794727166051, -0.2539851324175507, -0.20891419226389304, -0.3108453130964255, -0.28716008047719493, -0.28685687717069147, -0.15461097328797035, -0.06724579309358956, -0.06631895325780161, -0.12838752292992314, -0.2604217064370881, -0.2994210540822972, -0.13770521401461308, -0.38753366338863043, -0.18985012420195868, -0.2751961588603808, -0.12728908052303287, -0.3373108268282798, -0.22926578715897356, -0.2966609690165753, -0.17203440708392553, -0.13560671566857566, -0.3659403248704448, -0.19572153152842145, -0.2992849930792854, -0.2517270914854285, -0.3121737570619694, -0.3218324251425995, -0.3335925475661008, -0.1563048353864749, -0.44033615392551534, -0.211165856737363, -0.33236214939243414, -0.45774111085327457, -0.2040747849531308, -0.22361459961864713, -0.314537583122542, -0.09643107747877358, 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-0.04436802415747924, -0.41805337093697803, -0.2159288429865858, -0.271054307065017, -0.23312110395649127, -0.21230689206480907, -0.2835014766526764, -0.353971265965208, -0.26779910014158026, -0.3247368418872312, -0.3460320131220494, -0.18148985025610725, -0.3290472975313643, -0.2080712268874638, -0.30919767770972, -0.2621582619473466, -0.4005947320052915, -0.16569053720487176, -0.1715871701942062, -0.33966426093936175, -0.14810221446652985, -0.38706932858481435, -0.2089735725186868, -0.2925838340813593, -0.16739161420610443, -0.16446058280119805, -0.1305673017413987, -0.35541676060908045, -0.21977416385240542, -0.33730102981680843, -0.19355215108544663], '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': -3.405124837953327, 'hecke_orbit': 3, 'hecke_orbit_code': 9007199355404512, 'label': '224.6.a.c.1.2', 'level': 224, 'weight': 6}
• 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], [7, -1]], 6, 3], [[[2, 1], [7, -1]], 9, 2], [[[2, 1], [7, 1]], 7, 2], [[[2, -1], [7, 1]], 8, 3]], 'ALdims': [7, 9, 8, 6], 'Nk2': 8064, 'analytic_conductor': 35.92597563810766, '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': [224, 1, [127, 197, 129], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 152, 'dim': 30, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 100663520, 'hecke_orbit_dims': [1, 1, 2, 2, 3, 3, 4, 4, 5, 5], 'label': '224.6.a', 'level': 224, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'mf_dim': 168, 'mf_new_dim': 30, 'num_forms': 10, 'plus_dim': 13, 'prim_orbit_index': 1, 'relative_dim': 30, 'sturm_bound': 192, 'trace_bound': 3, 'trace_display': [0, 0, -76, 0], 'traces': [30, 0, 0, 0, -76, 0, 0, 0, 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-3865693536, 0, 0, 0, -219883580, 0, 0, 0, 448848024, 0, 0, 0, 3553551876, 0, 0, 0], 'weight': 6, '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: 40493410
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199355404512, 'source_is_minimal': True, 'source_label': '224.6.a.c.1.2', 'source_level': 224, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007199355404512, 'target_is_minimal': True, 'target_label': '224.6.a.c.1.2', 'target_level': 224, 'twist_class_label': '224.6.a.c.1.2', 'twist_class_level': 224, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 40493411
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199355404512, 'source_is_minimal': True, 'source_label': '224.6.a.c.1.2', 'source_level': 224, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798982775008, 'target_is_minimal': True, 'target_label': '224.6.a.d.1.1', 'target_level': 224, 'twist_class_label': '224.6.a.c.1.2', 'twist_class_level': 224, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 40493412
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199355404512, 'source_is_minimal': True, 'source_label': '224.6.a.c.1.2', 'source_level': 224, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 81064793393332672, 'target_is_minimal': False, 'target_label': '448.6.a.s.1.2', 'target_level': 448, 'twist_class_label': '224.6.a.c.1.2', 'twist_class_level': 224, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 40493413
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199355404512, 'source_is_minimal': True, 'source_label': '224.6.a.c.1.2', 'source_level': 224, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 108086391157555648, 'target_is_minimal': False, 'target_label': '448.6.a.y.1.1', 'target_level': 448, 'twist_class_label': '224.6.a.c.1.2', 'twist_class_level': 224, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 536250
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007199355404512, 'p': 2}
  • id: 536251
    {'charpoly_factorization': [[[-12, 14, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 3}
  • id: 536252
    {'charpoly_factorization': [[[-2700, -34, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 5}
  • id: 536253
    {'charpoly_factorization': [[[49, 1], 2]], 'hecke_orbit_code': 9007199355404512, 'p': 7}
  • id: 536254
    {'charpoly_factorization': [[[-84976, -420, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 11}
  • id: 536255
    {'charpoly_factorization': [[[-86436, 490, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 13}
  • id: 536256
    {'charpoly_factorization': [[[266828, 1056, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 17}
  • id: 536257
    {'charpoly_factorization': [[[-3333420, -1246, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 19}
  • id: 536258
    {'charpoly_factorization': [[[47888, 504, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 23}
  • id: 536259
    {'charpoly_factorization': [[[-14374772, 3904, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 29}
  • id: 536260
    {'charpoly_factorization': [[[-24097520, -2044, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 31}
  • id: 536261
    {'charpoly_factorization': [[[14005580, 7488, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 37}
  • id: 536262
    {'charpoly_factorization': [[[-63108260, -7832, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 41}
  • id: 536263
    {'charpoly_factorization': [[[-45786544, -10332, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 43}
  • id: 536264
    {'charpoly_factorization': [[[396339696, -41972, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 47}
  • id: 536265
    {'charpoly_factorization': [[[-171589148, -32812, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 53}
  • id: 536266
    {'charpoly_factorization': [[[421726020, -48398, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 59}
  • id: 536267
    {'charpoly_factorization': [[[-11734460, 718, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 61}
  • id: 536268
    {'charpoly_factorization': [[[-792171632, -12824, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 67}
  • id: 536269
    {'charpoly_factorization': [[[2694018240, -103992, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 71}
  • id: 536270
    {'charpoly_factorization': [[[-1049693676, 54100, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 73}
  • id: 536271
    {'charpoly_factorization': [[[967369152, -64568, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 79}
  • id: 536272
    {'charpoly_factorization': [[[554507556, 47810, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 83}
  • id: 536273
    {'charpoly_factorization': [[[-12657841308, 17388, 1], 1]], 'hecke_orbit_code': 9007199355404512, 'p': 89}
  • id: 536274
    {'charpoly_factorization': [[[62455628, 97296, 1], 1]], 'hecke_orbit_code': 9007199355404512, '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': '224.6.a.c', 'level': 224, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 111918000
    {'hecke_orbit_code': 9007199355404512, 'n': 1, 'trace_an': 2}
  • id: 111918001
    {'hecke_orbit_code': 9007199355404512, 'n': 2, 'trace_an': 0}
  • id: 111918002
    {'hecke_orbit_code': 9007199355404512, 'n': 3, 'trace_an': -14}
  • id: 111918003
    {'hecke_orbit_code': 9007199355404512, 'n': 4, 'trace_an': 0}
  • id: 111918004
    {'hecke_orbit_code': 9007199355404512, 'n': 5, 'trace_an': 34}
  • id: 111918005
    {'hecke_orbit_code': 9007199355404512, 'n': 6, 'trace_an': 0}
  • id: 111918006
    {'hecke_orbit_code': 9007199355404512, 'n': 7, 'trace_an': -98}
  • id: 111918007
    {'hecke_orbit_code': 9007199355404512, 'n': 8, 'trace_an': 0}
  • id: 111918008
    {'hecke_orbit_code': 9007199355404512, 'n': 9, 'trace_an': -266}
  • id: 111918009
    {'hecke_orbit_code': 9007199355404512, 'n': 10, 'trace_an': 0}
  • id: 111918010
    {'hecke_orbit_code': 9007199355404512, 'n': 11, 'trace_an': 420}
  • id: 111918011
    {'hecke_orbit_code': 9007199355404512, 'n': 12, 'trace_an': 0}
  • id: 111918012
    {'hecke_orbit_code': 9007199355404512, 'n': 13, 'trace_an': -490}
  • id: 111918013
    {'hecke_orbit_code': 9007199355404512, 'n': 14, 'trace_an': 0}
  • id: 111918014
    {'hecke_orbit_code': 9007199355404512, 'n': 15, 'trace_an': 616}
  • id: 111918015
    {'hecke_orbit_code': 9007199355404512, 'n': 16, 'trace_an': 0}
  • id: 111918016
    {'hecke_orbit_code': 9007199355404512, 'n': 17, 'trace_an': -1056}
  • id: 111918017
    {'hecke_orbit_code': 9007199355404512, 'n': 18, 'trace_an': 0}
  • id: 111918018
    {'hecke_orbit_code': 9007199355404512, 'n': 19, 'trace_an': 1246}
  • id: 111918019
    {'hecke_orbit_code': 9007199355404512, 'n': 20, 'trace_an': 0}
  • id: 111918020
    {'hecke_orbit_code': 9007199355404512, 'n': 21, 'trace_an': 686}
  • id: 111918021
    {'hecke_orbit_code': 9007199355404512, 'n': 22, 'trace_an': 0}
  • id: 111918022
    {'hecke_orbit_code': 9007199355404512, 'n': 23, 'trace_an': -504}
  • id: 111918023
    {'hecke_orbit_code': 9007199355404512, 'n': 24, 'trace_an': 0}
  • id: 111918024
    {'hecke_orbit_code': 9007199355404512, 'n': 25, 'trace_an': 306}
  • id: 111918025
    {'hecke_orbit_code': 9007199355404512, 'n': 26, 'trace_an': 0}
  • id: 111918026
    {'hecke_orbit_code': 9007199355404512, 'n': 27, 'trace_an': 3556}
  • id: 111918027
    {'hecke_orbit_code': 9007199355404512, 'n': 28, 'trace_an': 0}
  • id: 111918028
    {'hecke_orbit_code': 9007199355404512, 'n': 29, 'trace_an': -3904}
  • id: 111918029
    {'hecke_orbit_code': 9007199355404512, 'n': 30, 'trace_an': 0}
  • id: 111918030
    {'hecke_orbit_code': 9007199355404512, 'n': 31, 'trace_an': 2044}
  • id: 111918031
    {'hecke_orbit_code': 9007199355404512, 'n': 32, 'trace_an': 0}
  • id: 111918032
    {'hecke_orbit_code': 9007199355404512, 'n': 33, 'trace_an': 2672}
  • id: 111918033
    {'hecke_orbit_code': 9007199355404512, 'n': 34, 'trace_an': 0}
  • id: 111918034
    {'hecke_orbit_code': 9007199355404512, 'n': 35, 'trace_an': -1666}
  • id: 111918035
    {'hecke_orbit_code': 9007199355404512, 'n': 36, 'trace_an': 0}
  • id: 111918036
    {'hecke_orbit_code': 9007199355404512, 'n': 37, 'trace_an': -7488}
  • id: 111918037
    {'hecke_orbit_code': 9007199355404512, 'n': 38, 'trace_an': 0}
  • id: 111918038
    {'hecke_orbit_code': 9007199355404512, 'n': 39, 'trace_an': 9408}
  • id: 111918039
    {'hecke_orbit_code': 9007199355404512, 'n': 40, 'trace_an': 0}
  • id: 111918040
    {'hecke_orbit_code': 9007199355404512, 'n': 41, 'trace_an': 7832}
  • id: 111918041
    {'hecke_orbit_code': 9007199355404512, 'n': 42, 'trace_an': 0}
  • id: 111918042
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