Embedded newform data - 8208.2.a.br.1.4

Formats: - HTML - YAML - JSON - 2025-12-11T22:21:00.985025

• 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': 32832, 'analytic_conductor': 65.54120997906693, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [19, -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': [8208, 1, [7183, 2053, 1217, 6481], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 10273, 'field_disc_factorization': [[10273, 1]], 'field_poly': [2, 1, -5, -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': 0, 'hecke_cutters': [[5, [13, -3, -9, 2, 1]], [7, [-3, 11, -5, -2, 1]], [11, [3, -8, 1, 5, 1]]], 'hecke_orbit': 44, 'hecke_orbit_code': 193654784010493968, 'hecke_ring_generator_nbound': 5, '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': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '8208.2.a.br', 'level': 8208, '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': False, 'level_primes': [2, 3, 19], 'level_radical': 114, 'minimal_twist': '4104.2.a.i', 'nf_label': '4.4.10273.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(\\beta _{2}-\\beta _{3})q^{5}+(1-\\beta _{1})q^{7}+(-1+\\beta _{2}+\\cdots)q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '8208.2.a', 'trace_display': [0, 0, -2, 2], 'trace_hash': 173390934845587030, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.017', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '45.945', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '852.544', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.006', 'prec': 17}, 'traces': [4, 0, 0, 0, -2, 0, 2, 0, 0, 0, -5, 0, -5, 0, 0, 0, -3, 0, 4, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 7, 0, 0, 0, -3, 0, -1, 0, 0, 0, -5, 0, 11, 0, 0, 0, -7, 0, -14, 0, 0, 0, -9, 0, 14, 0, 0, 0, -13, 0, -11, 0, 0, 0, 10, 0, 18, 0, 0, 0, 6, 0, -2, 0, 0, 0, -7, 0, 17, 0, 0, 0, -28, 0, -27, 0, 0, 0, -24, 0, 19, 0, 0, 0, -2, 0, -16, 0, 0, 0, 2, 0, 6, 0, 0, 0, -11, 0, -7, 0, 0, 0, -6, 0, 15, 0, 0, 0, -15, 0, -21, 0, 0, 0, -33, 0, 18, 0, 0, 0, -23, 0, 2, 0, 0, 0, 9, 0, -9, 0, 0, 0, 14, 0, -18, 0, 0, 0, -22, 0, 20, 0, 0, 0, -34, 0, -43, 0, 0, 0, -36, 0, 16, 0, 0, 0, -9, 0, 5, 0, 0, 0, -4, 0, -1, 0, 0, 0, 7, 0, -45, 0, 0, 0, -36, 0, 2, 0, 0, 0, -8, 0, -20, 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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• 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': [17, 19, 19, 17, 19, 17, 17, 19], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [8, 9, 9, 9, 9, 9, 9, 9], 'ALdims_old': [155, 158, 161, 157, 161, 157, 154, 158], 'Nk2': 32832, 'analytic_conductor': 65.54120997906693, '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': [8208, 1, [7183, 2053, 1217, 6481], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1405, 'dim': 144, 'eis_dim': 71, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11], 'hecke_orbit_code': 33562640, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 6, 6], 'label': '8208.2.a', 'level': 8208, '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': False, 'level_primes': [2, 3, 19], 'level_radical': 114, 'mf_dim': 1476, 'mf_new_dim': 144, 'num_forms': 58, 'plus_dim': 68, 'prim_orbit_index': 1, 'relative_dim': 144, 'sturm_bound': 2880, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 272, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 408, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 376, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 552, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 328, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 472, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 64, 0, 0, 0], 'weight': 2, '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: 48980628
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 193654784010493968, 'source_is_minimal': False, 'source_label': '8208.2.a.br.1.4', 'source_level': 8208, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 193654784010493968, 'target_is_minimal': False, 'target_label': '8208.2.a.br.1.4', 'target_level': 8208, 'twist_class_label': '4104.2.a.i.1.4', 'twist_class_level': 4104, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48980629
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 193654784010493968, 'source_is_minimal': False, 'source_label': '8208.2.a.br.1.4', 'source_level': 8208, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 229683581029457936, 'target_is_minimal': False, 'target_label': '8208.2.a.bz.1.1', 'target_level': 8208, 'twist_class_label': '4104.2.a.i.1.4', 'twist_class_level': 4104, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48980630
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 193654784010493968, 'source_is_minimal': False, 'source_label': '8208.2.a.br.1.4', 'source_level': 8208, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 36028797052522504, 'target_is_minimal': True, 'target_label': '4104.2.a.i.1.4', 'target_level': 4104, 'twist_class_label': '4104.2.a.i.1.4', 'twist_class_level': 4104, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48980631
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 193654784010493968, 'source_is_minimal': False, 'source_label': '8208.2.a.br.1.4', 'source_level': 8208, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043195562004488, 'target_is_minimal': True, 'target_label': '4104.2.a.m.1.1', 'target_level': 4104, 'twist_class_label': '4104.2.a.i.1.4', 'twist_class_level': 4104, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4688100
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 193654784010493968, 'p': 2}
  • id: 4688101
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 193654784010493968, 'p': 3}
  • id: 4688102
    {'charpoly_factorization': [[[13, -3, -9, 2, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 5}
  • id: 4688103
    {'charpoly_factorization': [[[-3, 11, -5, -2, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 7}
  • id: 4688104
    {'charpoly_factorization': [[[3, -8, 1, 5, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 11}
  • id: 4688105
    {'charpoly_factorization': [[[116, -57, -16, 5, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 13}
  • id: 4688106
    {'charpoly_factorization': [[[-2, 37, -31, 3, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 17}
  • id: 4688107
    {'charpoly_factorization': [[[-1, 1], 4]], 'hecke_orbit_code': 193654784010493968, 'p': 19}
  • id: 4688108
    {'charpoly_factorization': [[[54, -103, -58, -1, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 23}
  • id: 4688109
    {'charpoly_factorization': [[[94, 69, -31, -2, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 29}
  • id: 4688110
    {'charpoly_factorization': [[[27, 90, -9, -7, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 31}
  • id: 4688111
    {'charpoly_factorization': [[[4964, -241, -162, 1, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 37}
  • id: 4688112
    {'charpoly_factorization': [[[-24, -29, -2, 5, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 41}
  • id: 4688113
    {'charpoly_factorization': [[[-604, 391, -20, -11, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 43}
  • id: 4688114
    {'charpoly_factorization': [[[18, -7, -27, 7, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 47}
  • id: 4688115
    {'charpoly_factorization': [[[-257, -680, -117, 9, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 53}
  • id: 4688116
    {'charpoly_factorization': [[[128, -627, -34, 13, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 59}
  • id: 4688117
    {'charpoly_factorization': [[[-5078, -2547, -190, 11, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 61}
  • id: 4688118
    {'charpoly_factorization': [[[24, -67, 59, -18, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 67}
  • id: 4688119
    {'charpoly_factorization': [[[-1626, 929, -121, -6, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 71}
  • id: 4688120
    {'charpoly_factorization': [[[3, -10, -28, 2, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 73}
  • id: 4688121
    {'charpoly_factorization': [[[776, 1683, -82, -17, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 79}
  • id: 4688122
    {'charpoly_factorization': [[[221, 508, 218, 28, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 83}
  • id: 4688123
    {'charpoly_factorization': [[[6618, -1951, -19, 24, 1], 1]], 'hecke_orbit_code': 193654784010493968, 'p': 89}
  • id: 4688124
    {'charpoly_factorization': [[[-547, -429, -13, 16, 1], 1]], 'hecke_orbit_code': 193654784010493968, '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': 44, 'label': '8208.2.a.br', 'level': 8208, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 70990999
    {'hecke_orbit_code': 193654784010493968, 'n': 1, 'trace_an': 4}
  • id: 70991000
    {'hecke_orbit_code': 193654784010493968, 'n': 2, 'trace_an': 0}
  • id: 70991001
    {'hecke_orbit_code': 193654784010493968, 'n': 3, 'trace_an': 0}
  • id: 70991002
    {'hecke_orbit_code': 193654784010493968, 'n': 4, 'trace_an': 0}
  • id: 70991003
    {'hecke_orbit_code': 193654784010493968, 'n': 5, 'trace_an': -2}
  • id: 70991004
    {'hecke_orbit_code': 193654784010493968, 'n': 6, 'trace_an': 0}
  • id: 70991005
    {'hecke_orbit_code': 193654784010493968, 'n': 7, 'trace_an': 2}
  • id: 70991006
    {'hecke_orbit_code': 193654784010493968, 'n': 8, 'trace_an': 0}
  • id: 70991007
    {'hecke_orbit_code': 193654784010493968, 'n': 9, 'trace_an': 0}
  • id: 70991008
    {'hecke_orbit_code': 193654784010493968, 'n': 10, 'trace_an': 0}
  • id: 70991009
    {'hecke_orbit_code': 193654784010493968, 'n': 11, 'trace_an': -5}
  • id: 70991010
    {'hecke_orbit_code': 193654784010493968, 'n': 12, 'trace_an': 0}
  • id: 70991011
    {'hecke_orbit_code': 193654784010493968, 'n': 13, 'trace_an': -5}
  • id: 70991012
    {'hecke_orbit_code': 193654784010493968, 'n': 14, 'trace_an': 0}
  • id: 70991013
    {'hecke_orbit_code': 193654784010493968, 'n': 15, 'trace_an': 0}
  • id: 70991014
    {'hecke_orbit_code': 193654784010493968, 'n': 16, 'trace_an': 0}
  • id: 70991015
    {'hecke_orbit_code': 193654784010493968, 'n': 17, 'trace_an': -3}
  • id: 70991016
    {'hecke_orbit_code': 193654784010493968, 'n': 18, 'trace_an': 0}
  • id: 70991017
    {'hecke_orbit_code': 193654784010493968, 'n': 19, 'trace_an': 4}
  • id: 70991018
    {'hecke_orbit_code': 193654784010493968, 'n': 20, 'trace_an': 0}
  • id: 70991019
    {'hecke_orbit_code': 193654784010493968, 'n': 21, 'trace_an': 0}
  • id: 70991020
    {'hecke_orbit_code': 193654784010493968, 'n': 22, 'trace_an': 0}
  • id: 70991021
    {'hecke_orbit_code': 193654784010493968, 'n': 23, 'trace_an': 1}
  • id: 70991022
    {'hecke_orbit_code': 193654784010493968, 'n': 24, 'trace_an': 0}
  • id: 70991023
    {'hecke_orbit_code': 193654784010493968, 'n': 25, 'trace_an': 2}
  • id: 70991024
    {'hecke_orbit_code': 193654784010493968, 'n': 26, 'trace_an': 0}
  • id: 70991025
    {'hecke_orbit_code': 193654784010493968, 'n': 27, 'trace_an': 0}
  • id: 70991026
    {'hecke_orbit_code': 193654784010493968, 'n': 28, 'trace_an': 0}
  • id: 70991027
    {'hecke_orbit_code': 193654784010493968, 'n': 29, 'trace_an': 2}
  • id: 70991028
    {'hecke_orbit_code': 193654784010493968, 'n': 30, 'trace_an': 0}
  • id: 70991029
    {'hecke_orbit_code': 193654784010493968, 'n': 31, 'trace_an': 7}
  • id: 70991030
    {'hecke_orbit_code': 193654784010493968, 'n': 32, 'trace_an': 0}
  • id: 70991031
    {'hecke_orbit_code': 193654784010493968, 'n': 33, 'trace_an': 0}
  • id: 70991032
    {'hecke_orbit_code': 193654784010493968, 'n': 34, 'trace_an': 0}
  • id: 70991033
    {'hecke_orbit_code': 193654784010493968, 'n': 35, 'trace_an': -3}
  • id: 70991034
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  • id: 70991035
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  • id: 70991036
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  • id: 70991037
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  • id: 70991038
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  • id: 70991039
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  • id: 70991040
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  • id: 70991041
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  • id: 70991042
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  • id: 70991043
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  • id: 70991044
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  • id: 70991045
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  • id: 70991046
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  • id: 70991047
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  • id: 70991048
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  • id: 70991049
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  • id: 70991050
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  • id: 70991051
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  • id: 70991052
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  • id: 70991053
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  • id: 70991054
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  • id: 70991055
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  • id: 70991056
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  • id: 70991057
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  • id: 70991058
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  • id: 70991059
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  • id: 70991060
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  • id: 70991061
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  • id: 70991062
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  • id: 70991063
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  • id: 70991064
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  • id: 70991065
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  • id: 70991066
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  • id: 70991067
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  • id: 70991068
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  • id: 70991069
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  • id: 70991070
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  • id: 70991071
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  • id: 70991072
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  • id: 70991073
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  • id: 70991074
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  • id: 70991075
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  • id: 70991076
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  • id: 70991077
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  • id: 70991078
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  • id: 70991079
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  • id: 70991080
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  • id: 70991081
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  • id: 70991082
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  • id: 70991083
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  • id: 70991084
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  • id: 70991085
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  • id: 70991086
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  • id: 70991087
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  • id: 70991088
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  • id: 70991089
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  • id: 70991090
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  • id: 70991091
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  • id: 70991092
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  • id: 70991093
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  • id: 70991094
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  • id: 70991095
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  • id: 70991096
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  • id: 70991097
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  • id: 70991098
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  • id: 70991099
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  • id: 70991100
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  • id: 70991101
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  • id: 70991102
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  • id: 70991103
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  • id: 70991104
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  • id: 70991105
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  • id: 70991106
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  • id: 70991107
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  • id: 70991108
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  • id: 70991109
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  • id: 70991110
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  • id: 70991111
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  • id: 70991112
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  • id: 70991113
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  • id: 70991114
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  • id: 70991115
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  • id: 70991116
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  • id: 70991117
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  • id: 70991118
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  • id: 70991119
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  • id: 70991120
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  • id: 70991121
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  • id: 70991122
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  • id: 70991123
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  • id: 70991124
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  • id: 70991125
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  • id: 70991126
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  • id: 70991127
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  • id: 70991128
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  • id: 70991129
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  • id: 70991130
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  • id: 70991131
    {'hecke_orbit_code': 193654784010493968, 'n': 243, 'trace_an': 0}
  • id: 70991132
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  • id: 70991133
    {'hecke_orbit_code': 193654784010493968, 'n': 256, 'trace_an': 0}
  • id: 70991134
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  • id: 70991135
    {'hecke_orbit_code': 193654784010493968, 'n': 263, 'trace_an': -9}
  • id: 70991136
    {'hecke_orbit_code': 193654784010493968, 'n': 269, 'trace_an': -26}
  • id: 70991137
    {'hecke_orbit_code': 193654784010493968, 'n': 271, 'trace_an': 43}
  • id: 70991138
    {'hecke_orbit_code': 193654784010493968, 'n': 277, 'trace_an': 7}
  • id: 70991139
    {'hecke_orbit_code': 193654784010493968, 'n': 281, 'trace_an': 13}
  • id: 70991140
    {'hecke_orbit_code': 193654784010493968, 'n': 283, 'trace_an': -26}
  • id: 70991141
    {'hecke_orbit_code': 193654784010493968, 'n': 289, 'trace_an': 3}
  • id: 70991142
    {'hecke_orbit_code': 193654784010493968, 'n': 293, 'trace_an': -3}
  • id: 70991143
    {'hecke_orbit_code': 193654784010493968, 'n': 307, 'trace_an': 15}
  • id: 70991144
    {'hecke_orbit_code': 193654784010493968, 'n': 311, 'trace_an': 20}
  • id: 70991145
    {'hecke_orbit_code': 193654784010493968, 'n': 313, 'trace_an': -8}
  • id: 70991146
    {'hecke_orbit_code': 193654784010493968, 'n': 317, 'trace_an': -32}
  • id: 70991147
    {'hecke_orbit_code': 193654784010493968, 'n': 331, 'trace_an': 0}
  • id: 70991148
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  • id: 70991149
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  • id: 70991150
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  • id: 70991151
    {'hecke_orbit_code': 193654784010493968, 'n': 349, 'trace_an': 22}
  • id: 70991152
    {'hecke_orbit_code': 193654784010493968, 'n': 353, 'trace_an': 43}
  • id: 70991153
    {'hecke_orbit_code': 193654784010493968, 'n': 359, 'trace_an': -10}
  • id: 70991154
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  • id: 70991155
    {'hecke_orbit_code': 193654784010493968, 'n': 367, 'trace_an': 13}
  • id: 70991156
    {'hecke_orbit_code': 193654784010493968, 'n': 373, 'trace_an': -6}
  • id: 70991157
    {'hecke_orbit_code': 193654784010493968, 'n': 379, 'trace_an': -8}
  • id: 70991158
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  • id: 70991159
    {'hecke_orbit_code': 193654784010493968, 'n': 389, 'trace_an': 10}
  • id: 70991160
    {'hecke_orbit_code': 193654784010493968, 'n': 397, 'trace_an': 22}
  • id: 70991161
    {'hecke_orbit_code': 193654784010493968, 'n': 401, 'trace_an': -24}
  • id: 70991162
    {'hecke_orbit_code': 193654784010493968, 'n': 409, 'trace_an': -65}
  • id: 70991163
    {'hecke_orbit_code': 193654784010493968, 'n': 419, 'trace_an': 5}
  • id: 70991164
    {'hecke_orbit_code': 193654784010493968, 'n': 421, 'trace_an': 5}
  • id: 70991165
    {'hecke_orbit_code': 193654784010493968, 'n': 431, 'trace_an': 32}
  • id: 70991166
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  • id: 70991167
    {'hecke_orbit_code': 193654784010493968, 'n': 439, 'trace_an': 66}
  • id: 70991168
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  • id: 70991169
    {'hecke_orbit_code': 193654784010493968, 'n': 449, 'trace_an': -32}
  • id: 70991170
    {'hecke_orbit_code': 193654784010493968, 'n': 457, 'trace_an': 28}
  • id: 70991171
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  • id: 70991172
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  • id: 70991173
    {'hecke_orbit_code': 193654784010493968, 'n': 467, 'trace_an': 18}
  • id: 70991174
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  • id: 70991175
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  • id: 70991176
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  • id: 70991177
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  • id: 70991178
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  • id: 70991179
    {'hecke_orbit_code': 193654784010493968, 'n': 509, 'trace_an': -55}
  • id: 70991180
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  • id: 70991181
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  • id: 70991182
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  • id: 70991183
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  • id: 70991184
    {'hecke_orbit_code': 193654784010493968, 'n': 541, 'trace_an': -67}
  • id: 70991185
    {'hecke_orbit_code': 193654784010493968, 'n': 547, 'trace_an': 62}
  • id: 70991186
    {'hecke_orbit_code': 193654784010493968, 'n': 557, 'trace_an': -72}
  • id: 70991187
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  • id: 70991188
    {'hecke_orbit_code': 193654784010493968, 'n': 569, 'trace_an': 65}
  • id: 70991189
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  • id: 70991190
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  • id: 70991191
    {'hecke_orbit_code': 193654784010493968, 'n': 587, 'trace_an': -74}
  • id: 70991192
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  • id: 70991193
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  • id: 70991194
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  • id: 70991195
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  • id: 70991196
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  • id: 70991197
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  • id: 70991198
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  • id: 70991199
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  • id: 70991200
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  • id: 70991201
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  • id: 70991202
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  • id: 70991203
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  • id: 70991204
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  • id: 70991205
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  • id: 70991206
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  • id: 70991207
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  • id: 70991208
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  • id: 70991209
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  • id: 70991210
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  • id: 70991211
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  • id: 70991212
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  • id: 70991213
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  • id: 70991214
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  • id: 70991215
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  • id: 70991216
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  • id: 70991217
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  • id: 70991218
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  • id: 70991219
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  • id: 70991220
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  • id: 70991221
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  • id: 70991222
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  • id: 70991223
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  • id: 70991224
    {'hecke_orbit_code': 193654784010493968, 'n': 787, 'trace_an': -82}
  • id: 70991225
    {'hecke_orbit_code': 193654784010493968, 'n': 797, 'trace_an': -41}
  • id: 70991226
    {'hecke_orbit_code': 193654784010493968, 'n': 809, 'trace_an': -49}
  • id: 70991227
    {'hecke_orbit_code': 193654784010493968, 'n': 811, 'trace_an': 12}
  • id: 70991228
    {'hecke_orbit_code': 193654784010493968, 'n': 821, 'trace_an': 62}
  • id: 70991229
    {'hecke_orbit_code': 193654784010493968, 'n': 823, 'trace_an': -98}
  • id: 70991230
    {'hecke_orbit_code': 193654784010493968, 'n': 827, 'trace_an': -61}
  • id: 70991231
    {'hecke_orbit_code': 193654784010493968, 'n': 829, 'trace_an': -18}
  • id: 70991232
    {'hecke_orbit_code': 193654784010493968, 'n': 839, 'trace_an': 3}
  • id: 70991233
    {'hecke_orbit_code': 193654784010493968, 'n': 841, 'trace_an': -50}
  • id: 70991234
    {'hecke_orbit_code': 193654784010493968, 'n': 853, 'trace_an': 150}
  • id: 70991235
    {'hecke_orbit_code': 193654784010493968, 'n': 857, 'trace_an': 15}
  • id: 70991236
    {'hecke_orbit_code': 193654784010493968, 'n': 859, 'trace_an': -62}
  • id: 70991237
    {'hecke_orbit_code': 193654784010493968, 'n': 863, 'trace_an': 77}
  • id: 70991238
    {'hecke_orbit_code': 193654784010493968, 'n': 877, 'trace_an': -5}
  • id: 70991239
    {'hecke_orbit_code': 193654784010493968, 'n': 881, 'trace_an': -86}
  • id: 70991240
    {'hecke_orbit_code': 193654784010493968, 'n': 883, 'trace_an': -1}
  • id: 70991241
    {'hecke_orbit_code': 193654784010493968, 'n': 887, 'trace_an': -27}
  • id: 70991242
    {'hecke_orbit_code': 193654784010493968, 'n': 907, 'trace_an': -28}
  • id: 70991243
    {'hecke_orbit_code': 193654784010493968, 'n': 911, 'trace_an': 116}
  • id: 70991244
    {'hecke_orbit_code': 193654784010493968, 'n': 919, 'trace_an': 14}
  • id: 70991245
    {'hecke_orbit_code': 193654784010493968, 'n': 929, 'trace_an': -45}
  • id: 70991246
    {'hecke_orbit_code': 193654784010493968, 'n': 937, 'trace_an': 83}
  • id: 70991247
    {'hecke_orbit_code': 193654784010493968, 'n': 941, 'trace_an': 64}
  • id: 70991248
    {'hecke_orbit_code': 193654784010493968, 'n': 947, 'trace_an': -76}
  • id: 70991249
    {'hecke_orbit_code': 193654784010493968, 'n': 953, 'trace_an': 67}
  • id: 70991250
    {'hecke_orbit_code': 193654784010493968, 'n': 961, 'trace_an': -57}
  • id: 70991251
    {'hecke_orbit_code': 193654784010493968, 'n': 967, 'trace_an': -50}
  • id: 70991252
    {'hecke_orbit_code': 193654784010493968, 'n': 971, 'trace_an': 22}
  • id: 70991253
    {'hecke_orbit_code': 193654784010493968, 'n': 977, 'trace_an': -28}
  • id: 70991254
    {'hecke_orbit_code': 193654784010493968, 'n': 983, 'trace_an': 35}
  • id: 70991255
    {'hecke_orbit_code': 193654784010493968, 'n': 991, 'trace_an': -9}
  • id: 70991256
    {'hecke_orbit_code': 193654784010493968, 'n': 997, 'trace_an': 1}