Embedded newform data - 14.10.a.a.1.1

Formats: - HTML - YAML - JSON - 2025-12-15T01:20:29.848408

• 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': 1400, 'analytic_conductor': 7.210501706294224, 'analytic_rank': 1, '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': [14, 1, [3], [1]], 'cm_discs': [], '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, [6, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 167772174, '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_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '14.10.a.a', 'level': 14, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 7], 'level_radical': 14, 'minimal_twist': '14.10.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2^{4}q^{2}-6q^{3}+2^{8}q^{4}+560q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '14.10.a', 'trace_display': [-16, -6, 560, -2401], 'trace_hash': 150057634241561650, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.981', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.971', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.031', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.958', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, -16, -6, 256, 560, 96, -2401, -4096, -19647, -8960, -54152, -1536, -113172, 38416, -3360, 65536, 6262, 314352, 257078, 143360, 14406, 866432, -266000, 24576, -1639525, 1810752, 235980, -614656, 1574714, 53760, -4637484, -1048576, 324912, -100192, -1344560, -5029632, -11946238, -4113248, 679032, -2293760, 21909126, -230496, 27520592, -13862912, -11002320, 4256000, 52927836, -393216, 5764801, 26232400, -37572, -28972032, 16221222, -3775680, -30325120, 9834496, -1542468, -25195424, -140509618, -860160, -202963560, 74199744, 47172447, 16777216, -63376320, -5198592, 153734572, 1603072, 1596000, 21512960, 279655936, 80474112, -404022830, 191139808, 9837150, 65811968, 130018952, -10864512, -130689816, 36700160, 385296021, -350546016, 420134014, 3687936, 3506720, -440329472, -9448284, 221806592, -469542390, 176037120, 271725972, -68096000, 27824904, -846845376, 143963680, 6291456, -872501690, -92236816, 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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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-0.2261318191203463], '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': 1, 'hecke_orbit_code': 167772174, 'label': '14.10.a.a.1.1', 'level': 14, 'weight': 10}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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': [1, 2, 1, 0], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [1, 1, 1, 1], 'ALdims_old': [2, 3, 3, 4], 'Nk2': 1400, 'analytic_conductor': 7.210501706294224, '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': [14, 1, [3], [1]], 'conrey_index': 1, 'cusp_dim': 16, 'dim': 4, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 167772174, 'hecke_orbit_dims': [1, 1, 2], 'label': '14.10.a', 'level': 14, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 7], 'level_radical': 14, 'mf_dim': 20, 'mf_new_dim': 4, 'num_forms': 3, 'plus_dim': 1, 'prim_orbit_index': 1, 'relative_dim': 4, 'sturm_bound': 20, 'trace_bound': 2, 'trace_display': [-32, 150, -1626, 0], 'traces': [4, -32, 150, 1024, -1626, 3040, 0, -8192, 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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: 439779
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 167772174, 'source_is_minimal': True, 'source_label': '14.10.a.a.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772174, 'target_is_minimal': True, 'target_label': '14.10.a.a.1.1', 'target_level': 14, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 439780
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 167772174, 'source_is_minimal': True, 'source_label': '14.10.a.a.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398677254270, 'target_is_minimal': False, 'target_label': '126.10.a.e.1.1', 'target_level': 126, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 439781
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 167772174, 'source_is_minimal': True, 'source_label': '14.10.a.a.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599795142768, 'target_is_minimal': False, 'target_label': '112.10.a.b.1.1', 'target_level': 112, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 439782
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 167772174, 'source_is_minimal': True, 'source_label': '14.10.a.a.1.1', 'source_level': 14, 'target_conrey_index': 99, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503737234096478, 'target_is_minimal': False, 'target_label': '350.10.c.b.99.1', 'target_level': 350, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 439783
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 167772174, 'source_is_minimal': True, 'source_label': '14.10.a.a.1.1', 'source_level': 14, 'target_conrey_index': 99, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503737234096478, 'target_is_minimal': False, 'target_label': '350.10.c.b.99.2', 'target_level': 350, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 439784
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 167772174, 'source_is_minimal': True, 'source_label': '14.10.a.a.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199422513502, 'target_is_minimal': False, 'target_label': '350.10.a.c.1.1', 'target_level': 350, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 10}
  • id: 439785
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 167772174, 'source_is_minimal': True, 'source_label': '14.10.a.a.1.1', 'source_level': 14, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518135743578210, 'target_is_minimal': False, 'target_label': '98.10.c.f.67.1', 'target_level': 98, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 439786
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 167772174, 'source_is_minimal': True, 'source_label': '14.10.a.a.1.1', 'source_level': 14, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014536116207714, 'target_is_minimal': False, 'target_label': '98.10.c.e.79.1', 'target_level': 98, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 439787
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 167772174, 'source_is_minimal': True, 'source_label': '14.10.a.a.1.1', 'source_level': 14, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518135743578210, 'target_is_minimal': False, 'target_label': '98.10.c.f.79.1', 'target_level': 98, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 10}
  • id: 439788
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 167772174, 'source_is_minimal': True, 'source_label': '14.10.a.a.1.1', 'source_level': 14, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014536116207714, 'target_is_minimal': False, 'target_label': '98.10.c.e.67.1', 'target_level': 98, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 10}
  • id: 439789
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 167772174, 'source_is_minimal': True, 'source_label': '14.10.a.a.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772258, 'target_is_minimal': False, 'target_label': '98.10.a.a.1.1', 'target_level': 98, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 57400
    {'charpoly_factorization': [[[16, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 2}
  • id: 57401
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 3}
  • id: 57402
    {'charpoly_factorization': [[[-560, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 5}
  • id: 57403
    {'charpoly_factorization': [[[2401, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 7}
  • id: 57404
    {'charpoly_factorization': [[[54152, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 11}
  • id: 57405
    {'charpoly_factorization': [[[113172, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 13}
  • id: 57406
    {'charpoly_factorization': [[[-6262, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 17}
  • id: 57407
    {'charpoly_factorization': [[[-257078, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 19}
  • id: 57408
    {'charpoly_factorization': [[[266000, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 23}
  • id: 57409
    {'charpoly_factorization': [[[-1574714, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 29}
  • id: 57410
    {'charpoly_factorization': [[[4637484, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 31}
  • id: 57411
    {'charpoly_factorization': [[[11946238, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 37}
  • id: 57412
    {'charpoly_factorization': [[[-21909126, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 41}
  • id: 57413
    {'charpoly_factorization': [[[-27520592, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 43}
  • id: 57414
    {'charpoly_factorization': [[[-52927836, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 47}
  • id: 57415
    {'charpoly_factorization': [[[-16221222, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 53}
  • id: 57416
    {'charpoly_factorization': [[[140509618, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 59}
  • id: 57417
    {'charpoly_factorization': [[[202963560, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 61}
  • id: 57418
    {'charpoly_factorization': [[[-153734572, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 67}
  • id: 57419
    {'charpoly_factorization': [[[-279655936, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 71}
  • id: 57420
    {'charpoly_factorization': [[[404022830, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 73}
  • id: 57421
    {'charpoly_factorization': [[[130689816, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 79}
  • id: 57422
    {'charpoly_factorization': [[[-420134014, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 83}
  • id: 57423
    {'charpoly_factorization': [[[469542390, 1], 1]], 'hecke_orbit_code': 167772174, 'p': 89}
  • id: 57424
    {'charpoly_factorization': [[[872501690, 1], 1]], 'hecke_orbit_code': 167772174, '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': '14.10.a.a', 'level': 14, 'portrait': 'data:image/png;base64,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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 3669018
    {'hecke_orbit_code': 167772174, 'n': 1, 'trace_an': 1}
  • id: 3669019
    {'hecke_orbit_code': 167772174, 'n': 2, 'trace_an': -16}
  • id: 3669020
    {'hecke_orbit_code': 167772174, 'n': 3, 'trace_an': -6}
  • id: 3669021
    {'hecke_orbit_code': 167772174, 'n': 4, 'trace_an': 256}
  • id: 3669022
    {'hecke_orbit_code': 167772174, 'n': 5, 'trace_an': 560}
  • id: 3669023
    {'hecke_orbit_code': 167772174, 'n': 6, 'trace_an': 96}
  • id: 3669024
    {'hecke_orbit_code': 167772174, 'n': 7, 'trace_an': -2401}
  • id: 3669025
    {'hecke_orbit_code': 167772174, 'n': 8, 'trace_an': -4096}
  • id: 3669026
    {'hecke_orbit_code': 167772174, 'n': 9, 'trace_an': -19647}
  • id: 3669027
    {'hecke_orbit_code': 167772174, 'n': 10, 'trace_an': -8960}
  • id: 3669028
    {'hecke_orbit_code': 167772174, 'n': 11, 'trace_an': -54152}
  • id: 3669029
    {'hecke_orbit_code': 167772174, 'n': 12, 'trace_an': -1536}
  • id: 3669030
    {'hecke_orbit_code': 167772174, 'n': 13, 'trace_an': -113172}
  • id: 3669031
    {'hecke_orbit_code': 167772174, 'n': 14, 'trace_an': 38416}
  • id: 3669032
    {'hecke_orbit_code': 167772174, 'n': 15, 'trace_an': -3360}
  • id: 3669033
    {'hecke_orbit_code': 167772174, 'n': 16, 'trace_an': 65536}
  • id: 3669034
    {'hecke_orbit_code': 167772174, 'n': 17, 'trace_an': 6262}
  • id: 3669035
    {'hecke_orbit_code': 167772174, 'n': 18, 'trace_an': 314352}
  • id: 3669036
    {'hecke_orbit_code': 167772174, 'n': 19, 'trace_an': 257078}
  • id: 3669037
    {'hecke_orbit_code': 167772174, 'n': 20, 'trace_an': 143360}
  • id: 3669038
    {'hecke_orbit_code': 167772174, 'n': 21, 'trace_an': 14406}
  • id: 3669039
    {'hecke_orbit_code': 167772174, 'n': 22, 'trace_an': 866432}
  • id: 3669040
    {'hecke_orbit_code': 167772174, 'n': 23, 'trace_an': -266000}
  • id: 3669041
    {'hecke_orbit_code': 167772174, 'n': 24, 'trace_an': 24576}
  • id: 3669042
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  • id: 3669046
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  • id: 3669048
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  • id: 3669049
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  • id: 3669050
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  • id: 3669051
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  • id: 3669052
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  • id: 3669053
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  • id: 3669054
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  • id: 3669055
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  • id: 3669056
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  • id: 3669058
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  • id: 3669059
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  • id: 3669062
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  • id: 3669063
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  • id: 3669064
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  • id: 3669065
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  • id: 3669066
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  • id: 3669068
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  • id: 3669150
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  • id: 3669153
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  • id: 3669241
    {'hecke_orbit_code': 167772174, 'n': 769, 'trace_an': -13424998659842}
  • id: 3669242
    {'hecke_orbit_code': 167772174, 'n': 773, 'trace_an': 7859342513192}
  • id: 3669243
    {'hecke_orbit_code': 167772174, 'n': 787, 'trace_an': -1477202904306}
  • id: 3669244
    {'hecke_orbit_code': 167772174, 'n': 797, 'trace_an': -6473266304220}
  • id: 3669245
    {'hecke_orbit_code': 167772174, 'n': 809, 'trace_an': -15363091195834}
  • id: 3669246
    {'hecke_orbit_code': 167772174, 'n': 811, 'trace_an': -12905612946746}
  • id: 3669247
    {'hecke_orbit_code': 167772174, 'n': 821, 'trace_an': 893771205094}
  • id: 3669248
    {'hecke_orbit_code': 167772174, 'n': 823, 'trace_an': -22984443440216}
  • id: 3669249
    {'hecke_orbit_code': 167772174, 'n': 827, 'trace_an': -2756179886244}
  • id: 3669250
    {'hecke_orbit_code': 167772174, 'n': 829, 'trace_an': -3159246800024}
  • id: 3669251
    {'hecke_orbit_code': 167772174, 'n': 839, 'trace_an': 19240349793604}
  • id: 3669252
    {'hecke_orbit_code': 167772174, 'n': 841, 'trace_an': -12027421794073}
  • id: 3669253
    {'hecke_orbit_code': 167772174, 'n': 853, 'trace_an': -26080432657540}
  • id: 3669254
    {'hecke_orbit_code': 167772174, 'n': 857, 'trace_an': 21917671626510}
  • id: 3669255
    {'hecke_orbit_code': 167772174, 'n': 859, 'trace_an': -3555880267366}
  • id: 3669256
    {'hecke_orbit_code': 167772174, 'n': 863, 'trace_an': 22208405716232}
  • id: 3669257
    {'hecke_orbit_code': 167772174, 'n': 877, 'trace_an': 3380040244138}
  • id: 3669258
    {'hecke_orbit_code': 167772174, 'n': 881, 'trace_an': 525102522474}
  • id: 3669259
    {'hecke_orbit_code': 167772174, 'n': 883, 'trace_an': 33397192697588}
  • id: 3669260
    {'hecke_orbit_code': 167772174, 'n': 887, 'trace_an': -9619644405516}
  • id: 3669261
    {'hecke_orbit_code': 167772174, 'n': 907, 'trace_an': -20834077302996}
  • id: 3669262
    {'hecke_orbit_code': 167772174, 'n': 911, 'trace_an': -13378939342224}
  • id: 3669263
    {'hecke_orbit_code': 167772174, 'n': 919, 'trace_an': -13835163343064}
  • id: 3669264
    {'hecke_orbit_code': 167772174, 'n': 929, 'trace_an': -17407270665258}
  • id: 3669265
    {'hecke_orbit_code': 167772174, 'n': 937, 'trace_an': 1983612512306}
  • id: 3669266
    {'hecke_orbit_code': 167772174, 'n': 941, 'trace_an': -23353307899336}
  • id: 3669267
    {'hecke_orbit_code': 167772174, 'n': 947, 'trace_an': 35988225603728}
  • id: 3669268
    {'hecke_orbit_code': 167772174, 'n': 953, 'trace_an': -13766166749942}
  • id: 3669269
    {'hecke_orbit_code': 167772174, 'n': 961, 'trace_an': -4933364310415}
  • id: 3669270
    {'hecke_orbit_code': 167772174, 'n': 967, 'trace_an': -3027178177936}
  • id: 3669271
    {'hecke_orbit_code': 167772174, 'n': 971, 'trace_an': -25318283125746}
  • id: 3669272
    {'hecke_orbit_code': 167772174, 'n': 977, 'trace_an': 9907290806298}
  • id: 3669273
    {'hecke_orbit_code': 167772174, 'n': 983, 'trace_an': 24052310333748}
  • id: 3669274
    {'hecke_orbit_code': 167772174, 'n': 991, 'trace_an': 31578178461920}
  • id: 3669275
    {'hecke_orbit_code': 167772174, 'n': 997, 'trace_an': 9322411318328}