Newform data - 225.6.a.v

Formats: - HTML - YAML - JSON - 2024-04-24T02:46:50.168163

• 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': 8100, 'analytic_conductor': 36.08635945792064, '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': [225, 1, [101, 127], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 4, 'field_disc': 78400, 'field_disc_factorization': [[2, 6], [5, 2], [7, 2]], 'field_poly': [155, 30, -29, -2, 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': 1, 'hecke_cutters': [[2, [-20, 0, 1]], [7, [-50400, 0, 1]]], 'hecke_orbit': 22, 'hecke_orbit_code': 94575592275443937, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 28800, 'hecke_ring_index_factorization': [[2, 7], [3, 2], [5, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 15, 4, -1, 2, 0], [1, 1, 5, 2, 1, 2, 0], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '225.6.a.v', 'level': 225, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'minimal_twist': '45.6.b.d', 'nf_label': '4.4.78400.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{1}q^{2}-12q^{4}-\\beta _{2}q^{7}+44\\beta _{1}q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '225.6.a', 'trace_display': [0, 0, 0, 0], 'trace_hash': 391879627876879268, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.012', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.656', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '112.845', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4422.417', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.761', 'prec': 17}, 'traces': [4, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1984, 0, 0, 1936, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14432, 0, 0, 29840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40480, 0, 0, 134372, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 85448, 0, 0, 136448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -23232, 0, 0, 398464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 201600, 0, 0, 170720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 85360, 0, 0, -6776, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 363796, 0, 0, -173184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1312960, 0, 0, -906224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 35552, 0, 0, -2016000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1021760, 0, 0, -1283572, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -327448, 0, 0, -1781120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1612464, 0, 0, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
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[0, 0, 0, -544291], [0, 86131177, 0, 0], [0, 0, 47475, 0], [0, 30748499, 0, 0], [-658068884, 0, 0, 0], [0, -12484274, 0, 0], [-161530888, 0, 0, 0], [0, 0, 1124629, 0], [0, 0, -1170696, 0], [0, 91658270, 0, 0], [492447406, 0, 0, 0], [0, -81121139, 0, 0], [0, 0, 0, 415107], [0, 0, 183986, 0], [0, 0, 0, -1111528], [0, 0, -2309878, 0], [-92557784, 0, 0, 0], [0, 0, 0, 1396186], [-9747388, 0, 0, 0], [0, 0, 0, 552739], [166183534, 0, 0, 0], [0, -14115299, 0, 0], [0, 0, -1172645, 0], [0, -118639807, 0, 0], [0, 0, 0, -378213], [443579312, 0, 0, 0], [0, 0, 2209889, 0], [0, 0, 0, 1052546], [0, 0, -1513534, 0], [0, 0, 0, 496441], [0, 0, -2576408, 0], [0, 59952419, 0, 0], [0, -188004344, 0, 0], [-400814788, 0, 0, 0], [0, 0, 3268552, 0], [0, 0, 0, -357381], [0, 0, 0, -636636], [0, 0, -2232769, 0], [0, -20055739, 0, 0], [0, 110450374, 0, 0], [0, 0, 0, 1547977], [0, 0, 2303973, 0], [0, -9657406, 0, 0], [0, 0, 0, -94699], [0, 0, -2811666, 0], [0, 192930023, 0, 0], [0, -15904988, 0, 0], [0, 0, 0, 456588], [-584643292, 0, 0, 0], [0, 0, 0, -383240]], 'char_orbit_index': 1, 'field_poly': [155, 30, -29, -2, 1], 'hecke_orbit_code': 94575592275443937, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 51, 17, 1], 'hecke_ring_inverse_denominators': [1, 60, 60, 120], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [30, 15, 1, 0], [930, 15, 1, 1], [2760, 1320, 37, 3]], 'hecke_ring_numerators': [[1, 0, 0, 0], [70, -136, -12, 8], [-860, 1700, 60, -40], [-900, -60, 60, 0]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '225.6.a.v', 'level': 225, 'maxp': 2999, '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': [[[[3, -1], [5, -1]], 11, 6], [[[3, 1], [5, 1]], 7, 4], [[[3, 1], [5, -1]], 9, 4], [[[3, -1], [5, 1]], 11, 8]], 'ALdims': [7, 9, 11, 11], 'Nk2': 8100, 'analytic_conductor': 36.08635945792064, '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': [225, 1, [101, 127], [1, 1]], 'conrey_index': 1, 'cusp_dim': 138, 'dim': 38, 'eis_dim': 24, 'eis_new_dim': 3, 'hecke_cutter_primes': [2, 7], 'hecke_orbit_code': 100663521, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4], 'label': '225.6.a', 'level': 225, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'mf_dim': 162, 'mf_new_dim': 41, 'num_forms': 22, 'plus_dim': 18, 'prim_orbit_index': 1, 'relative_dim': 38, 'sturm_bound': 180, 'trace_bound': 7, 'trace_display': [0, 0, 0, -80], 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• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 182945
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '225.6.a.v', 'source_level': 225, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '45.6.b.d', 'target_level': 45, 'twist_class_label': '45.6.b.d', 'twist_class_level': 45, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 6}
  • id: 182946
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '225.6.a.v', 'source_level': 225, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '45.6.b.d', 'target_level': 45, 'twist_class_label': '45.6.b.d', 'twist_class_level': 45, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 6}
  • id: 182947
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '225.6.a.v', 'source_level': 225, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '225.6.a.v', 'target_level': 225, 'twist_class_label': '45.6.b.d', 'twist_class_level': 45, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 6}
  • id: 182948
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '225.6.a.v', 'source_level': 225, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '225.6.a.v', 'target_level': 225, 'twist_class_label': '45.6.b.d', 'twist_class_level': 45, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 6}
  • id: 182949
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '225.6.a.v', 'source_level': 225, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '225.6.a.v', 'target_level': 225, 'twist_class_label': '45.6.b.d', 'twist_class_level': 45, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 6}
  • id: 182950
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '225.6.a.v', 'source_level': 225, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '225.6.a.v', 'target_level': 225, 'twist_class_label': '45.6.b.d', 'twist_class_level': 45, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 6}
  • id: 182951
    {'conductor': 20, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '225.6.a.v', 'source_level': 225, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '720.6.f.k', 'target_level': 720, 'twist_class_label': '45.6.b.d', 'twist_class_level': 45, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 6}
  • id: 182952
    {'conductor': 60, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '225.6.a.v', 'source_level': 225, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '720.6.f.k', 'target_level': 720, 'twist_class_label': '45.6.b.d', 'twist_class_level': 45, 'twisting_char_label': '60.l', 'twisting_char_orbit': 12, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 540775
    {'charpoly_factorization': [[[-20, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 2}
  • id: 540776
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 94575592275443937, 'p': 3}
  • id: 540777
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 94575592275443937, 'p': 5}
  • id: 540778
    {'charpoly_factorization': [[[-50400, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 7}
  • id: 540779
    {'charpoly_factorization': [[[-252000, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 11}
  • id: 540780
    {'charpoly_factorization': [[[-50400, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 13}
  • id: 540781
    {'charpoly_factorization': [[[-2782580, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 17}
  • id: 540782
    {'charpoly_factorization': [[[-484, 1], 4]], 'hecke_orbit_code': 94575592275443937, 'p': 19}
  • id: 540783
    {'charpoly_factorization': [[[-5120720, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 23}
  • id: 540784
    {'charpoly_factorization': [[[-30492000, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 29}
  • id: 540785
    {'charpoly_factorization': [[[-3608, 1], 4]], 'hecke_orbit_code': 94575592275443937, 'p': 31}
  • id: 540786
    {'charpoly_factorization': [[[-54885600, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 37}
  • id: 540787
    {'charpoly_factorization': [[[-121968000, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 41}
  • id: 540788
    {'charpoly_factorization': [[[-158054400, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 43}
  • id: 540789
    {'charpoly_factorization': [[[-91079120, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 47}
  • id: 540790
    {'charpoly_factorization': [[[-22769780, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 53}
  • id: 540791
    {'charpoly_factorization': [[[-30492000, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 59}
  • id: 540792
    {'charpoly_factorization': [[[-21362, 1], 4]], 'hecke_orbit_code': 94575592275443937, 'p': 61}
  • id: 540793
    {'charpoly_factorization': [[[-1195286400, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 67}
  • id: 540794
    {'charpoly_factorization': [[[-1097712000, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 71}
  • id: 540795
    {'charpoly_factorization': [[[-7257600, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 73}
  • id: 540796
    {'charpoly_factorization': [[[-99616, 1], 4]], 'hecke_orbit_code': 94575592275443937, 'p': 79}
  • id: 540797
    {'charpoly_factorization': [[[-3262479680, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 83}
  • id: 540798
    {'charpoly_factorization': [[[-14515200000, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, 'p': 89}
  • id: 540799
    {'charpoly_factorization': [[[-4122518400, 0, 1], 2]], 'hecke_orbit_code': 94575592275443937, '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': 22, 'label': '225.6.a.v', 'level': 225, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 252986000
    {'hecke_orbit_code': 94575592275443937, 'n': 1, 'trace_an': 4}
  • id: 252986001
    {'hecke_orbit_code': 94575592275443937, 'n': 2, 'trace_an': 0}
  • id: 252986002
    {'hecke_orbit_code': 94575592275443937, 'n': 3, 'trace_an': 0}
  • id: 252986003
    {'hecke_orbit_code': 94575592275443937, 'n': 4, 'trace_an': -48}
  • id: 252986004
    {'hecke_orbit_code': 94575592275443937, 'n': 5, 'trace_an': 0}
  • id: 252986005
    {'hecke_orbit_code': 94575592275443937, 'n': 6, 'trace_an': 0}
  • id: 252986006
    {'hecke_orbit_code': 94575592275443937, 'n': 7, 'trace_an': 0}
  • id: 252986007
    {'hecke_orbit_code': 94575592275443937, 'n': 8, 'trace_an': 0}
  • id: 252986008
    {'hecke_orbit_code': 94575592275443937, 'n': 9, 'trace_an': 0}
  • id: 252986009
    {'hecke_orbit_code': 94575592275443937, 'n': 10, 'trace_an': 0}
  • id: 252986010
    {'hecke_orbit_code': 94575592275443937, 'n': 11, 'trace_an': 0}
  • id: 252986011
    {'hecke_orbit_code': 94575592275443937, 'n': 12, 'trace_an': 0}
  • id: 252986012
    {'hecke_orbit_code': 94575592275443937, 'n': 13, 'trace_an': 0}
  • id: 252986013
    {'hecke_orbit_code': 94575592275443937, 'n': 14, 'trace_an': 0}
  • id: 252986014
    {'hecke_orbit_code': 94575592275443937, 'n': 15, 'trace_an': 0}
  • id: 252986015
    {'hecke_orbit_code': 94575592275443937, 'n': 16, 'trace_an': -1984}
  • id: 252986016
    {'hecke_orbit_code': 94575592275443937, 'n': 17, 'trace_an': 0}
  • id: 252986017
    {'hecke_orbit_code': 94575592275443937, 'n': 18, 'trace_an': 0}
  • id: 252986018
    {'hecke_orbit_code': 94575592275443937, 'n': 19, 'trace_an': 1936}
  • id: 252986019
    {'hecke_orbit_code': 94575592275443937, 'n': 20, 'trace_an': 0}
  • id: 252986020
    {'hecke_orbit_code': 94575592275443937, 'n': 21, 'trace_an': 0}
  • id: 252986021
    {'hecke_orbit_code': 94575592275443937, 'n': 22, 'trace_an': 0}
  • id: 252986022
    {'hecke_orbit_code': 94575592275443937, 'n': 23, 'trace_an': 0}
  • id: 252986023
    {'hecke_orbit_code': 94575592275443937, 'n': 24, 'trace_an': 0}
  • id: 252986024
    {'hecke_orbit_code': 94575592275443937, 'n': 25, 'trace_an': 0}
  • id: 252986025
    {'hecke_orbit_code': 94575592275443937, 'n': 26, 'trace_an': 0}
  • id: 252986026
    {'hecke_orbit_code': 94575592275443937, 'n': 27, 'trace_an': 0}
  • id: 252986027
    {'hecke_orbit_code': 94575592275443937, 'n': 28, 'trace_an': 0}
  • id: 252986028
    {'hecke_orbit_code': 94575592275443937, 'n': 29, 'trace_an': 0}
  • id: 252986029
    {'hecke_orbit_code': 94575592275443937, 'n': 30, 'trace_an': 0}
  • id: 252986030
    {'hecke_orbit_code': 94575592275443937, 'n': 31, 'trace_an': 14432}
  • id: 252986031
    {'hecke_orbit_code': 94575592275443937, 'n': 32, 'trace_an': 0}
  • id: 252986032
    {'hecke_orbit_code': 94575592275443937, 'n': 33, 'trace_an': 0}
  • id: 252986033
    {'hecke_orbit_code': 94575592275443937, 'n': 34, 'trace_an': 29840}
  • id: 252986034
    {'hecke_orbit_code': 94575592275443937, 'n': 35, 'trace_an': 0}
  • id: 252986035
    {'hecke_orbit_code': 94575592275443937, 'n': 36, 'trace_an': 0}
  • id: 252986036
    {'hecke_orbit_code': 94575592275443937, 'n': 37, 'trace_an': 0}
  • id: 252986037
    {'hecke_orbit_code': 94575592275443937, 'n': 38, 'trace_an': 0}
  • id: 252986038
    {'hecke_orbit_code': 94575592275443937, 'n': 39, 'trace_an': 0}
  • id: 252986039
    {'hecke_orbit_code': 94575592275443937, 'n': 40, 'trace_an': 0}
  • id: 252986040
    {'hecke_orbit_code': 94575592275443937, 'n': 41, 'trace_an': 0}
  • id: 252986041
    {'hecke_orbit_code': 94575592275443937, 'n': 42, 'trace_an': 0}
  • id: 252986042
    {'hecke_orbit_code': 94575592275443937, 'n': 43, 'trace_an': 0}
  • id: 252986043
    {'hecke_orbit_code': 94575592275443937, 'n': 44, 'trace_an': 0}
  • id: 252986044
    {'hecke_orbit_code': 94575592275443937, 'n': 45, 'trace_an': 0}
  • id: 252986045
    {'hecke_orbit_code': 94575592275443937, 'n': 46, 'trace_an': 40480}
  • id: 252986046
    {'hecke_orbit_code': 94575592275443937, 'n': 47, 'trace_an': 0}
  • id: 252986047
    {'hecke_orbit_code': 94575592275443937, 'n': 48, 'trace_an': 0}
  • id: 252986048
    {'hecke_orbit_code': 94575592275443937, 'n': 49, 'trace_an': 134372}
  • id: 252986049
    {'hecke_orbit_code': 94575592275443937, 'n': 50, 'trace_an': 0}
  • id: 252986050
    {'hecke_orbit_code': 94575592275443937, 'n': 51, 'trace_an': 0}
  • id: 252986051
    {'hecke_orbit_code': 94575592275443937, 'n': 52, 'trace_an': 0}
  • id: 252986052
    {'hecke_orbit_code': 94575592275443937, 'n': 53, 'trace_an': 0}
  • id: 252986053
    {'hecke_orbit_code': 94575592275443937, 'n': 54, 'trace_an': 0}
  • id: 252986054
    {'hecke_orbit_code': 94575592275443937, 'n': 55, 'trace_an': 0}
  • id: 252986055
    {'hecke_orbit_code': 94575592275443937, 'n': 56, 'trace_an': 0}
  • id: 252986056
    {'hecke_orbit_code': 94575592275443937, 'n': 57, 'trace_an': 0}
  • id: 252986057
    {'hecke_orbit_code': 94575592275443937, 'n': 58, 'trace_an': 0}
  • id: 252986058
    {'hecke_orbit_code': 94575592275443937, 'n': 59, 'trace_an': 0}
  • id: 252986059
    {'hecke_orbit_code': 94575592275443937, 'n': 60, 'trace_an': 0}
  • id: 252986060
    {'hecke_orbit_code': 94575592275443937, 'n': 61, 'trace_an': 85448}
  • id: 252986061
    {'hecke_orbit_code': 94575592275443937, 'n': 62, 'trace_an': 0}
  • id: 252986062
    {'hecke_orbit_code': 94575592275443937, 'n': 63, 'trace_an': 0}
  • id: 252986063
    {'hecke_orbit_code': 94575592275443937, 'n': 64, 'trace_an': 136448}
  • id: 252986064
    {'hecke_orbit_code': 94575592275443937, 'n': 65, 'trace_an': 0}
  • id: 252986065
    {'hecke_orbit_code': 94575592275443937, 'n': 66, 'trace_an': 0}
  • id: 252986066
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  • id: 252986996
    {'hecke_orbit_code': 94575592275443937, 'n': 997, 'trace_an': 0}
  • id: 252986997
    {'hecke_orbit_code': 94575592275443937, 'n': 998, 'trace_an': 0}
  • id: 252986998
    {'hecke_orbit_code': 94575592275443937, 'n': 999, 'trace_an': 0}
  • id: 252986999
    {'hecke_orbit_code': 94575592275443937, 'n': 1000, 'trace_an': 0}