Embedded newform data - 64.22.a.d.1.1

Formats: - HTML - YAML - JSON - 2024-09-16T20:18:30.910688

• 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': 30976, 'analytic_conductor': 178.86550034371973, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -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': [64, 1, [63, 5], [1, 1]], 'cm_discs': [-4], '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': [[3, [0, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510799251210304, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, -4]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '64.22.a.d', 'level': 64, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '32.22.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-13398638q^{5}-3^{21}q^{9}-970515066006q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '21.2.1.d1', 'self_twist_discs': [-4], 'self_twist_type': 1, 'space_label': '64.22.a', 'trace_display': [0, 0, -13398638, 0], 'trace_hash': 1492966925134612030, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.971', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.863', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.442', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.505', 'prec': 17}, 'traces': [1, 0, 0, 0, -13398638, 0, 0, 0, -10460353203, 0, 0, 0, -970515066006, 0, 0, 0, -15095904884798, 0, 0, 0, 0, 0, 0, 0, -297313657948081, 0, 0, 0, -617267444622790, 0, 0, 0, 0, 0, 0, 0, -18764002233154798, 0, 0, 0, -5567159167080790, 0, 0, 0, 140154485919137514, 0, 0, 0, -558545864083284007, 0, 0, 0, -2305059469250980414, 0, 0, 0, 0, 0, 0, 0, 10022123708700961210, 0, 0, 0, 13003580042960499828, 0, 0, 0, 0, 0, 0, 0, -69714495186591036006, 0, 0, 0, 0, 0, 0, 0, 109418989131512359209, 0, 0, 0, 202264564833840105124, 0, 0, 0, -436440906432187008790, 0, 0, 0, 0, 0, 0, 0, -1163294303536163404782, 0, 0, 0, 1924304846269591658002, 0, 0, 0, 0, 0, 0, 0, 800191336481445807594, 0, 0, 0, -4149327347362397614414, 0, 0, 0, 10151930379255618517218, 0, 0, 0, -7400249944258160101211, 0, 0, 0, 10372566543014562457428, 0, 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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[0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.2238736573572067, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2846306386137112, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, -0.25, -0.2996279853295494, -0.25, -0.25, -0.46525393901548756, -0.4312191310376221, -0.25, -0.25, -0.27174888670385566, -0.25, -0.301968795468161, -0.25515548148858863, -0.25, -0.25, -0.4301480942204999, -0.25, -0.07199164704880298, -0.25, -0.25, -0.4491026378090354, -0.25, -0.25, -0.3830193128617961, -0.397811856850394, -0.08311793302081248, -0.25, -0.25, -0.22412258031629462, -0.34748769866693735, -0.25, -0.25, -0.3343187862225013, -0.25, -0.2912011782492553, -0.25, -0.16894348051463765, -0.25, -0.25, -0.48980720135094613, -0.25, -0.19925406225597184, -0.25, -0.014958834539207115, -0.011672354501465537, -0.25, -0.25, -0.25, -0.25, -0.05697913683216571, -0.1562290356354807, -0.25, -0.37099933539135727, -0.25, 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-0.25, -0.38498907818842637, -0.2500678236705229, -0.25, -0.25, -0.25287697005490095, -0.25, -0.25, -0.25, -0.1362129666383392, -0.21068004167250642, -0.4957253397511415, -0.05116930610979817, -0.25, -0.412294141140596, -0.34060584656487264, -0.25, -0.2938184637014265, -0.25, -0.25, -0.31448368493632844, -0.25, -0.2805891856434784, -0.4581099426153961, -0.25, -0.25, -0.3181201314327138, -0.0972108208470853, -0.25, -0.25, -0.25, -0.25, -0.25, -0.1078032640750705, -0.488103314116923, -0.1098270188581731, -0.25, -0.20277818047221907, -0.25, -0.25, -0.07111120400627902, -0.25, -0.25, -0.13898698753156952], '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': 4, 'hecke_orbit_code': 13510799251210304, 'label': '64.22.a.d.1.1', 'level': 64, 'weight': 22}
• mf_newspaces •

  Column	Type
  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_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': [20, 21], 'Nk2': 30976, 'analytic_conductor': 178.86550034371973, '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': [64, 1, [63, 5], [1, 1]], 'conrey_index': 1, 'cusp_dim': 162, 'dim': 41, 'eis_dim': 12, 'eis_new_dim': 2, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 369098816, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 4, 5, 5, 6], 'label': '64.22.a', 'level': 64, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 174, 'mf_new_dim': 43, 'num_forms': 17, 'plus_dim': 20, 'prim_orbit_index': 1, 'relative_dim': 41, 'sturm_bound': 176, 'trace_bound': 3, 'trace_display': [0, 0, 2, 0], 'traces': [41, 0, 0, 0, 2, 0, 0, 0, 135984591637, 0, 0, 0, -1065395863654, 0, 0, 0, 3481428994002, 0, 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30141823906356331713787555075170, 0, 0, 0, 59157160330155378665449513791360, 0, 0, 0, 40067730737682004540504282242762, 0, 0, 0, 83295432770053879010755530367706, 0, 0, 0, 78348005402438194535792817648128, 0, 0, 0, -94324740210416979300527426338268, 0, 0, 0, -62146399342576214179730298518902, 0, 0, 0, -23826083507040849815639040400768, 0, 0, 0, -30735063817478794007026273579895, 0, 0, 0, 206016186896374420343746947018340, 0, 0, 0, 3555852072565135155874135991680, 0, 0, 0, -75922187246540344807910292187776, 0, 0, 0, 62352018236611973023084332325010, 0, 0, 0, -227788984639399634490757611919662, 0, 0, 0, 63242810104418171315710222969188, 0, 0, 0, -159524687651408052550182144246656, 0, 0, 0, -38059650958299519418987983944384, 0, 0, 0, 216431701500454712799083272908482, 0, 0, 0], 'weight': 22, '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: 42998810
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510799251210304, 'source_is_minimal': False, 'source_label': '64.22.a.d.1.1', 'source_level': 64, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510799251210304, 'target_is_minimal': False, 'target_label': '64.22.a.d.1.1', 'target_level': 64, 'twist_class_label': '32.22.a.a.1.1', 'twist_class_level': 32, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 22}
  • id: 42998811
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510799251210304, 'source_is_minimal': False, 'source_label': '64.22.a.d.1.1', 'source_level': 64, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510799251210304, 'target_is_minimal': False, 'target_label': '64.22.a.d.1.1', 'target_level': 64, 'twist_class_label': '32.22.a.a.1.1', 'twist_class_level': 32, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 22}
  • id: 42998812
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510799251210304, 'source_is_minimal': False, 'source_label': '64.22.a.d.1.1', 'source_level': 64, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 369098784, 'target_is_minimal': True, 'target_label': '32.22.a.a.1.1', 'target_level': 32, 'twist_class_label': '32.22.a.a.1.1', 'twist_class_level': 32, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 22}
  • id: 42998813
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510799251210304, 'source_is_minimal': False, 'source_label': '64.22.a.d.1.1', 'source_level': 64, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 369098784, 'target_is_minimal': True, 'target_label': '32.22.a.a.1.1', 'target_level': 32, 'twist_class_label': '32.22.a.a.1.1', 'twist_class_level': 32, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 22}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 210150
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 2}
  • id: 210151
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 3}
  • id: 210152
    {'charpoly_factorization': [[[13398638, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 5}
  • id: 210153
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 7}
  • id: 210154
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 11}
  • id: 210155
    {'charpoly_factorization': [[[970515066006, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 13}
  • id: 210156
    {'charpoly_factorization': [[[15095904884798, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 17}
  • id: 210157
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 19}
  • id: 210158
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 23}
  • id: 210159
    {'charpoly_factorization': [[[617267444622790, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 29}
  • id: 210160
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 31}
  • id: 210161
    {'charpoly_factorization': [[[18764002233154798, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 37}
  • id: 210162
    {'charpoly_factorization': [[[5567159167080790, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 41}
  • id: 210163
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 43}
  • id: 210164
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 47}
  • id: 210165
    {'charpoly_factorization': [[[2305059469250980414, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 53}
  • id: 210166
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 59}
  • id: 210167
    {'charpoly_factorization': [[[-10022123708700961210, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 61}
  • id: 210168
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 67}
  • id: 210169
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 71}
  • id: 210170
    {'charpoly_factorization': [[[69714495186591036006, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 73}
  • id: 210171
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 79}
  • id: 210172
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 83}
  • id: 210173
    {'charpoly_factorization': [[[436440906432187008790, 1], 1]], 'hecke_orbit_code': 13510799251210304, 'p': 89}
  • id: 210174
    {'charpoly_factorization': [[[1163294303536163404782, 1], 1]], 'hecke_orbit_code': 13510799251210304, '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': '64.22.a.d', 'level': 64, 'portrait': 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', 'weight': 22}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 35681119
    {'hecke_orbit_code': 13510799251210304, 'n': 1, 'trace_an': 1}
  • id: 35681120
    {'hecke_orbit_code': 13510799251210304, 'n': 2, 'trace_an': 0}
  • id: 35681121
    {'hecke_orbit_code': 13510799251210304, 'n': 3, 'trace_an': 0}
  • id: 35681122
    {'hecke_orbit_code': 13510799251210304, 'n': 4, 'trace_an': 0}
  • id: 35681123
    {'hecke_orbit_code': 13510799251210304, 'n': 5, 'trace_an': -13398638}
  • id: 35681124
    {'hecke_orbit_code': 13510799251210304, 'n': 6, 'trace_an': 0}
  • id: 35681125
    {'hecke_orbit_code': 13510799251210304, 'n': 7, 'trace_an': 0}
  • id: 35681126
    {'hecke_orbit_code': 13510799251210304, 'n': 8, 'trace_an': 0}
  • id: 35681127
    {'hecke_orbit_code': 13510799251210304, 'n': 9, 'trace_an': -10460353203}
  • id: 35681128
    {'hecke_orbit_code': 13510799251210304, 'n': 10, 'trace_an': 0}
  • id: 35681129
    {'hecke_orbit_code': 13510799251210304, 'n': 11, 'trace_an': 0}
  • id: 35681130
    {'hecke_orbit_code': 13510799251210304, 'n': 12, 'trace_an': 0}
  • id: 35681131
    {'hecke_orbit_code': 13510799251210304, 'n': 13, 'trace_an': -970515066006}
  • id: 35681132
    {'hecke_orbit_code': 13510799251210304, 'n': 14, 'trace_an': 0}
  • id: 35681133
    {'hecke_orbit_code': 13510799251210304, 'n': 15, 'trace_an': 0}
  • id: 35681134
    {'hecke_orbit_code': 13510799251210304, 'n': 16, 'trace_an': 0}
  • id: 35681135
    {'hecke_orbit_code': 13510799251210304, 'n': 17, 'trace_an': -15095904884798}
  • id: 35681136
    {'hecke_orbit_code': 13510799251210304, 'n': 18, 'trace_an': 0}
  • id: 35681137
    {'hecke_orbit_code': 13510799251210304, 'n': 19, 'trace_an': 0}
  • id: 35681138
    {'hecke_orbit_code': 13510799251210304, 'n': 20, 'trace_an': 0}
  • id: 35681139
    {'hecke_orbit_code': 13510799251210304, 'n': 21, 'trace_an': 0}
  • id: 35681140
    {'hecke_orbit_code': 13510799251210304, 'n': 22, 'trace_an': 0}
  • id: 35681141
    {'hecke_orbit_code': 13510799251210304, 'n': 23, 'trace_an': 0}
  • id: 35681142
    {'hecke_orbit_code': 13510799251210304, 'n': 24, 'trace_an': 0}
  • id: 35681143
    {'hecke_orbit_code': 13510799251210304, 'n': 25, 'trace_an': -297313657948081}
  • id: 35681144
    {'hecke_orbit_code': 13510799251210304, 'n': 26, 'trace_an': 0}
  • id: 35681145
    {'hecke_orbit_code': 13510799251210304, 'n': 27, 'trace_an': 0}
  • id: 35681146
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