Embedded newform data - 8.14.a.a.1.1

Formats: - HTML - YAML - JSON - 2024-04-27T18:03:15.204122

• 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': 1568, 'analytic_conductor': 8.578474316153017, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 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': [8, 1, [7, 5], [1, 1]], 'cm_discs': [], 'conrey_index': 1, '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, [12, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 234881032, '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': True, 'label': '8.14.a.a', 'level': 8, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '8.14.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-12q^{3}-4330q^{5}-139992q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '13.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '8.14.a', 'trace_display': [0, -12, -4330, -139992], 'trace_hash': 1263495055785564997, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.965', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.886', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.012', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.625', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 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'weight_parity': 1}
• 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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[-1.6435881338701561, 0.0], [0.0, 0.0], [-0.015588814282002292, 0.0], [0.0, 0.0], [-0.01347388128137378, 0.0], [0.0, 0.0], [-0.5077146590637999, 0.0], [0.0, 0.0], [0.02222615232963651, 0.0], [0.0, 0.0]], 'angles': [None, -0.25075628390986016, -0.2598685041581445, -0.286098247430273, -0.343029548222529, -0.36239747749989276, -0.269021546991137, -0.10419108609366912, -0.13758214337524816, -0.35310108258193335, -0.286611260244146, -0.1506067143767808, -0.15426893604156477, -0.2832466123884663, -0.3253304128947429, -0.29358733759813394, -0.0931155541995482, -0.2601475091574004, -0.2472571320038052, -0.361097720962396, -0.301291516976502, -0.4413317060573871, -0.12618606948691163, -0.20392216594129123, -0.41342607836131096, -0.29711139343674736, -0.4191437525041981, -0.1465490098161222, -0.2958603098129702, -0.1717830392617366, -0.3653166395039885, -0.2596051591278705, -0.3109754115666922, -0.2871611837749589, -0.2758127801576301, -0.11411219373538134, -0.22178436921194516, 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'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 1, 'hecke_orbit_code': 234881032, 'label': '8.14.a.a.1.1', 'level': 8, 'weight': 14}
• 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]], 2, 1], [[[2, 1]], 1, 1]], 'ALdims': [1, 2], 'Nk2': 1568, 'analytic_conductor': 8.578474316153017, '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': [8, 1, [7, 5], [1, 1]], 'conrey_index': 1, 'cusp_dim': 11, 'dim': 3, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 234881032, 'hecke_orbit_dims': [1, 2], 'label': '8.14.a', 'level': 8, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 15, 'mf_new_dim': 3, 'num_forms': 2, 'plus_dim': 1, 'prim_orbit_index': 1, 'relative_dim': 3, 'sturm_bound': 14, 'trace_bound': 1, 'trace_display': [0, 860, 14146, -29064], 'traces': [3, 0, 860, 0, 14146, 0, -29064, 0, 1995319, 0, 9989716, 0, -3843462, 0, 84882920, 0, -177525898, 0, 206597196, 0, -1370300832, 0, 1639869544, 0, 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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: 456656
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 234881032, 'source_is_minimal': True, 'source_label': '8.14.a.a.1.1', 'source_level': 8, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 234881032, 'target_is_minimal': True, 'target_label': '8.14.a.a.1.1', 'target_level': 8, 'twist_class_label': '8.14.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 14}
  • id: 456657
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 234881032, 'source_is_minimal': True, 'source_label': '8.14.a.a.1.1', 'source_level': 8, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 234881096, 'target_is_minimal': False, 'target_label': '72.14.a.a.1.1', 'target_level': 72, 'twist_class_label': '8.14.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 14}
  • id: 456658
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 234881032, 'source_is_minimal': True, 'source_label': '8.14.a.a.1.1', 'source_level': 8, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199489622032, 'target_is_minimal': False, 'target_label': '16.14.a.c.1.1', 'target_level': 16, 'twist_class_label': '8.14.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 14}
  • id: 456659
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 234881032, 'source_is_minimal': True, 'source_label': '8.14.a.a.1.1', 'source_level': 8, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 137673834696, 'target_is_minimal': False, 'target_label': '200.14.c.a.49.2', 'target_level': 200, 'twist_class_label': '8.14.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 14}
  • id: 456660
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 234881032, 'source_is_minimal': True, 'source_label': '8.14.a.a.1.1', 'source_level': 8, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137673834696, 'target_is_minimal': False, 'target_label': '200.14.c.a.49.1', 'target_level': 200, 'twist_class_label': '8.14.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 14}
  • id: 456661
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 234881032, 'source_is_minimal': True, 'source_label': '8.14.a.a.1.1', 'source_level': 8, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 234881224, 'target_is_minimal': False, 'target_label': '200.14.a.a.1.1', 'target_level': 200, 'twist_class_label': '8.14.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 14}
  • id: 456662
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 234881032, 'source_is_minimal': True, 'source_label': '8.14.a.a.1.1', 'source_level': 8, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510799116992576, 'target_is_minimal': False, 'target_label': '64.14.a.d.1.1', 'target_level': 64, 'twist_class_label': '8.14.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 14}
  • id: 456663
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 234881032, 'source_is_minimal': True, 'source_label': '8.14.a.a.1.1', 'source_level': 8, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998371733568, 'target_is_minimal': False, 'target_label': '64.14.a.f.1.1', 'target_level': 64, 'twist_class_label': '8.14.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 14}
  • id: 456664
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 234881032, 'source_is_minimal': True, 'source_label': '8.14.a.a.1.1', 'source_level': 8, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998371733648, 'target_is_minimal': False, 'target_label': '144.14.a.f.1.1', 'target_level': 144, 'twist_class_label': '8.14.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 14}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 33375
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 2}
  • id: 33376
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 3}
  • id: 33377
    {'charpoly_factorization': [[[4330, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 5}
  • id: 33378
    {'charpoly_factorization': [[[139992, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 7}
  • id: 33379
    {'charpoly_factorization': [[[6484324, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 11}
  • id: 33380
    {'charpoly_factorization': [[[22588034, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 13}
  • id: 33381
    {'charpoly_factorization': [[[23732270, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 17}
  • id: 33382
    {'charpoly_factorization': [[[-325344836, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 19}
  • id: 33383
    {'charpoly_factorization': [[[-921600632, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 23}
  • id: 33384
    {'charpoly_factorization': [[[3865879218, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 29}
  • id: 33385
    {'charpoly_factorization': [[[2253401440, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 31}
  • id: 33386
    {'charpoly_factorization': [[[-18250384566, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 37}
  • id: 33387
    {'charpoly_factorization': [[[-34422845322, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 41}
  • id: 33388
    {'charpoly_factorization': [[[17192501444, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 43}
  • id: 33389
    {'charpoly_factorization': [[[67371749904, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 47}
  • id: 33390
    {'charpoly_factorization': [[[87281218426, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 53}
  • id: 33391
    {'charpoly_factorization': [[[-540214518668, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 59}
  • id: 33392
    {'charpoly_factorization': [[[51276568850, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 61}
  • id: 33393
    {'charpoly_factorization': [[[-25519930676, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 67}
  • id: 33394
    {'charpoly_factorization': [[[1387500699032, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 71}
  • id: 33395
    {'charpoly_factorization': [[[819049441238, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 73}
  • id: 33396
    {'charpoly_factorization': [[[4030935615344, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 79}
  • id: 33397
    {'charpoly_factorization': [[[-4180823831428, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 83}
  • id: 33398
    {'charpoly_factorization': [[[-2677027798266, 1], 1]], 'hecke_orbit_code': 234881032, 'p': 89}
  • id: 33399
    {'charpoly_factorization': [[[14039464316446, 1], 1]], 'hecke_orbit_code': 234881032, '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': 1, 'label': '8.14.a.a', 'level': 8, 'portrait': 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', 'weight': 14}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 14890000
    {'hecke_orbit_code': 234881032, 'n': 1, 'trace_an': 1}
  • id: 14890001
    {'hecke_orbit_code': 234881032, 'n': 2, 'trace_an': 0}
  • id: 14890002
    {'hecke_orbit_code': 234881032, 'n': 3, 'trace_an': -12}
  • id: 14890003
    {'hecke_orbit_code': 234881032, 'n': 4, 'trace_an': 0}
  • id: 14890004
    {'hecke_orbit_code': 234881032, 'n': 5, 'trace_an': -4330}
  • id: 14890005
    {'hecke_orbit_code': 234881032, 'n': 6, 'trace_an': 0}
  • id: 14890006
    {'hecke_orbit_code': 234881032, 'n': 7, 'trace_an': -139992}
  • id: 14890007
    {'hecke_orbit_code': 234881032, 'n': 8, 'trace_an': 0}
  • id: 14890008
    {'hecke_orbit_code': 234881032, 'n': 9, 'trace_an': -1594179}
  • id: 14890009
    {'hecke_orbit_code': 234881032, 'n': 10, 'trace_an': 0}
  • id: 14890010
    {'hecke_orbit_code': 234881032, 'n': 11, 'trace_an': -6484324}
  • id: 14890011
    {'hecke_orbit_code': 234881032, 'n': 12, 'trace_an': 0}
  • id: 14890012
    {'hecke_orbit_code': 234881032, 'n': 13, 'trace_an': -22588034}
  • id: 14890013
    {'hecke_orbit_code': 234881032, 'n': 14, 'trace_an': 0}
  • id: 14890014
    {'hecke_orbit_code': 234881032, 'n': 15, 'trace_an': 51960}
  • id: 14890015
    {'hecke_orbit_code': 234881032, 'n': 16, 'trace_an': 0}
  • id: 14890016
    {'hecke_orbit_code': 234881032, 'n': 17, 'trace_an': -23732270}
  • id: 14890017
    {'hecke_orbit_code': 234881032, 'n': 18, 'trace_an': 0}
  • id: 14890018
    {'hecke_orbit_code': 234881032, 'n': 19, 'trace_an': 325344836}
  • id: 14890019
    {'hecke_orbit_code': 234881032, 'n': 20, 'trace_an': 0}
  • id: 14890020
    {'hecke_orbit_code': 234881032, 'n': 21, 'trace_an': 1679904}
  • id: 14890021
    {'hecke_orbit_code': 234881032, 'n': 22, 'trace_an': 0}
  • id: 14890022
    {'hecke_orbit_code': 234881032, 'n': 23, 'trace_an': 921600632}
  • id: 14890023
    {'hecke_orbit_code': 234881032, 'n': 24, 'trace_an': 0}
  • id: 14890024
    {'hecke_orbit_code': 234881032, 'n': 25, 'trace_an': -1201954225}
  • id: 14890025
    {'hecke_orbit_code': 234881032, 'n': 26, 'trace_an': 0}
  • id: 14890026
    {'hecke_orbit_code': 234881032, 'n': 27, 'trace_an': 38262024}
  • id: 14890027
    {'hecke_orbit_code': 234881032, 'n': 28, 'trace_an': 0}
  • id: 14890028
    {'hecke_orbit_code': 234881032, 'n': 29, 'trace_an': -3865879218}
  • id: 14890029
    {'hecke_orbit_code': 234881032, 'n': 30, 'trace_an': 0}
  • id: 14890030
    {'hecke_orbit_code': 234881032, 'n': 31, 'trace_an': -2253401440}
  • id: 14890031
    {'hecke_orbit_code': 234881032, 'n': 32, 'trace_an': 0}
  • id: 14890032
    {'hecke_orbit_code': 234881032, 'n': 33, 'trace_an': 77811888}
  • id: 14890033
    {'hecke_orbit_code': 234881032, 'n': 34, 'trace_an': 0}
  • id: 14890034
    {'hecke_orbit_code': 234881032, 'n': 35, 'trace_an': 606165360}
  • id: 14890035
    {'hecke_orbit_code': 234881032, 'n': 36, 'trace_an': 0}
  • id: 14890036
    {'hecke_orbit_code': 234881032, 'n': 37, 'trace_an': 18250384566}
  • id: 14890037
    {'hecke_orbit_code': 234881032, 'n': 38, 'trace_an': 0}
  • id: 14890038
    {'hecke_orbit_code': 234881032, 'n': 39, 'trace_an': 271056408}
  • id: 14890039
    {'hecke_orbit_code': 234881032, 'n': 40, 'trace_an': 0}
  • id: 14890040
    {'hecke_orbit_code': 234881032, 'n': 41, 'trace_an': 34422845322}
  • id: 14890041
    {'hecke_orbit_code': 234881032, 'n': 42, 'trace_an': 0}
  • id: 14890042
    {'hecke_orbit_code': 234881032, 'n': 43, 'trace_an': -17192501444}
  • id: 14890043
    {'hecke_orbit_code': 234881032, 'n': 44, 'trace_an': 0}
  • id: 14890044
    {'hecke_orbit_code': 234881032, 'n': 45, 'trace_an': 6902795070}
  • id: 14890045
    {'hecke_orbit_code': 234881032, 'n': 46, 'trace_an': 0}
  • id: 14890046
    {'hecke_orbit_code': 234881032, 'n': 47, 'trace_an': -67371749904}
  • id: 14890047
    {'hecke_orbit_code': 234881032, 'n': 48, 'trace_an': 0}
  • id: 14890048
    {'hecke_orbit_code': 234881032, 'n': 49, 'trace_an': -77291250343}
  • id: 14890049
    {'hecke_orbit_code': 234881032, 'n': 50, 'trace_an': 0}
  • id: 14890050
    {'hecke_orbit_code': 234881032, 'n': 51, 'trace_an': 284787240}
  • id: 14890051
    {'hecke_orbit_code': 234881032, 'n': 52, 'trace_an': 0}
  • id: 14890052
    {'hecke_orbit_code': 234881032, 'n': 53, 'trace_an': -87281218426}
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