Embedded newform data - 2088.2.a.s.1.3

Formats: - HTML - YAML - JSON - 2026-04-17T04:43:58.406873

• 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': 8352, 'analytic_conductor': 16.672763942043343, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [29, 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': [2088, 1, [1567, 1045, 929, 1945], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 568, 'field_disc_factorization': [[2, 3], [71, 1]], 'field_poly': [-2, -6, -1, 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, [-10, -3, 4, 1]], [7, [0, 1]], [11, [-80, -29, 2, 1]], [17, [2, 1]]], 'hecke_orbit': 19, 'hecke_orbit_code': 81064793326225448, 'hecke_ring_generator_nbound': 11, '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': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2088.2.a.s', 'level': 2088, '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, 29], 'level_radical': 174, 'minimal_twist': '232.2.a.d', 'nf_label': '3.3.568.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-1+\\beta _{2})q^{5}+(-1-\\beta _{1}-2\\beta _{2})q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2088.2.a', 'trace_display': [0, 0, -4, 0], 'trace_hash': 1917214417501674082, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.830', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '20.116', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '209.288', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.008', 'prec': 17}, 'traces': [3, 0, 0, 0, -4, 0, 0, 0, 0, 0, -2, 0, 4, 0, 0, 0, -6, 0, -4, 0, 0, 0, 4, 0, 7, 0, 0, 0, -3, 0, -14, 0, 0, 0, 0, 0, -2, 0, 0, 0, -10, 0, -6, 0, 0, 0, 2, 0, -21, 0, 0, 0, 0, 0, -26, 0, 0, 0, -8, 0, 2, 0, 0, 0, 2, 0, 20, 0, 0, 0, -12, 0, 2, 0, 0, 0, 0, 0, -30, 0, 0, 0, -32, 0, 8, 0, 0, 0, -10, 0, 0, 0, 0, 0, -28, 0, -14, 0, 0, 0, -6, 0, -4, 0, 0, 0, -12, 0, -4, 0, 0, 0, 2, 0, 4, 0, 0, 0, 0, 0, 29, 0, 0, 0, -30, 0, -8, 0, 0, 0, -28, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -38, 0, 4, 0, 0, 0, 12, 0, -24, 0, 0, 0, 14, 0, 22, 0, 0, 0, 0, 0, -18, 0, 0, 0, -12, 0, 15, 0, 0, 0, -2, 0, 0, 0, 0, 0, 24, 0, 16, 0, 0, 0, 36, 0, 4, 0, 0, 0, 8, 0, -6, 0, 0, 0, 22, 0, -48, 0, 0, 0, 0, 0, 28, 0, 0, 0, 60, 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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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'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.7615571818318907, 'hecke_orbit': 19, 'hecke_orbit_code': 81064793326225448, 'label': '2088.2.a.s.1.3', 'level': 2088, 'weight': 2}
• 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': [3, 4, 6, 4, 4, 3, 6, 5], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [3, 4, 4, 4, 4, 4, 4, 4], 'ALdims_old': [40, 40, 38, 38, 40, 39, 36, 39], 'Nk2': 8352, 'analytic_conductor': 16.672763942043343, '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': [2088, 1, [1567, 1045, 929, 1945], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 345, 'dim': 35, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11, 17], 'hecke_orbit_code': 33556520, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3], 'label': '2088.2.a', 'level': 2088, '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, 29], 'level_radical': 174, 'mf_dim': 376, 'mf_new_dim': 35, 'num_forms': 22, 'plus_dim': 16, 'prim_orbit_index': 1, 'relative_dim': 35, 'sturm_bound': 720, 'trace_bound': 17, 'trace_display': [0, 0, 0, 4], 'traces': [35, 0, 0, 0, 0, 0, 4, 0, 0, 0, 8, 0, 4, 0, 0, 0, 2, 0, 8, 0, 0, 0, -20, 0, 27, 0, 0, 0, -3, 0, -8, 0, 0, 0, -20, 0, -2, 0, 0, 0, -10, 0, -8, 0, 0, 0, 8, 0, 27, 0, 0, 0, 8, 0, -4, 0, 0, 0, -20, 0, 10, 0, 0, 0, 18, 0, -4, 0, 0, 0, 16, 0, -22, 0, 0, 0, 8, 0, 24, 0, 0, 0, -12, 0, -8, 0, 0, 0, -2, 0, 12, 0, 0, 0, 8, 0, 2, 0, 0, 0, -6, 0, -40, 0, 0, 0, -28, 0, 8, 0, 0, 0, 26, 0, -52, 0, 0, 0, 8, 0, -11, 0, 0, 0, 6, 0, 28, 0, 0, 0, 40, 0, 16, 0, 0, 0, 14, 0, 32, 0, 0, 0, -20, 0, 4, 0, 0, 0, 20, 0, 60, 0, 0, 0, 56, 0, -2, 0, 0, 0, 8, 0, -24, 0, 0, 0, 96, 0, 27, 0, 0, 0, 22, 0, 48, 0, 0, 0, -16, 0, -4, 0, 0, 0, -12, 0, -28, 0, 0, 0, 60, 0, -14, 0, 0, 0, 6, 0, 4, 0, 0, 0, 12, 0, 20, 0, 0, 0, 32, 0, 64, 0, 0, 0, -76, 0, 0, 0, 0, 0, -32, 0, -32, 0, 0, 0, -56, 0, -10, 0, 0, 0, 24, 0, -40, 0, 0, 0, -28, 0, -16, 0, 0, 0, 0, 0, -56, 0, 0, 0, 16, 0, 12, 0, 0, 0, 4, 0, 32, 0, 0, 0, -64, 0, -14, 0, 0, 0, -26, 0, -56, 0, 0, 0, 16, 0, 18, 0, 0, 0, 56, 0, 0, 0, 0, 0, 48, 0, 57, 0, 0, 0, -26, 0, -28, 0, 0, 0, 20, 0, 24, 0, 0, 0, -64, 0, -112, 0, 0, 0, -68, 0, -48, 0, 0, 0, 54, 0, 0, 0, 0, 0, -96, 0, -22, 0, 0, 0, -80, 0, 48, 0, 0, 0, 16, 0, -10, 0, 0, 0, -50, 0, -64, 0, 0, 0, 8, 0, 8, 0, 0, 0, 6, 0, -64, 0, 0, 0, -112, 0, 15, 0, 0, 0, -100, 0, -36, 0, 0, 0, -28, 0, 28, 0, 0, 0, -8, 0, 0, 0, 0, 0, -68, 0, 80, 0, 0, 0, 58, 0, 0, 0, 0, 0, 112, 0, -36, 0, 0, 0, 40, 0, 0, 0, 0, 0, -112, 0, -34, 0, 0, 0, -24, 0, -12, 0, 0, 0, 64, 0, -22, 0, 0, 0, 2, 0, 24, 0, 0, 0, -36, 0, 42, 0, 0, 0, 16, 0, -28, 0, 0, 0, -48, 0, 116, 0, 0, 0, -22, 0, 60, 0, 0, 0, -68, 0, 62, 0, 0, 0, -90, 0, 12, 0, 0, 0, 24, 0, 16, 0, 0, 0, -62, 0, -16, 0, 0, 0, 40, 0, 20, 0, 0, 0, 132, 0, 36, 0, 0, 0, -40, 0, 6, 0, 0, 0, 80, 0, 24, 0, 0, 0, 72, 0, -156, 0, 0, 0, -24, 0, -80, 0, 0, 0, 48, 0, -134, 0, 0, 0, -88, 0, 76, 0, 0, 0, 36, 0, -69, 0, 0, 0, 76, 0, -108, 0, 0, 0, 120, 0, -10, 0, 0, 0, 110, 0, 64, 0, 0, 0, 0, 0, -32, 0, 0, 0, 102, 0, 20, 0, 0, 0, -40, 0, -8, 0, 0, 0, -126, 0, 84, 0, 0, 0, 32, 0, 14, 0, 0, 0, 56, 0, -132, 0, 0, 0, 28, 0, 64, 0, 0, 0, -160, 0, 24, 0, 0, 0, 40, 0, -150, 0, 0, 0, 30, 0, -8, 0, 0, 0, 88, 0, -128, 0, 0, 0, 150, 0, -16, 0, 0, 0, -80, 0, 99, 0, 0, 0, 100, 0, -72, 0, 0, 0, 16, 0, 60, 0, 0, 0, 2, 0, -8, 0, 0, 0, 76, 0, -148, 0, 0, 0, -134, 0, -120, 0, 0, 0, -120, 0, -94, 0, 0, 0, 64, 0, -12, 0, 0, 0, -36, 0, -248, 0, 0, 0, -98, 0, 48, 0, 0, 0, 88, 0, -68, 0, 0, 0, -134, 0, 36, 0, 0, 0, 116, 0, -92, 0, 0, 0, 4, 0, 24, 0, 0, 0, 112, 0, 108, 0, 0, 0, -252, 0, 136, 0, 0, 0, -88, 0, -40, 0, 0, 0, -15, 0, -52, 0, 0, 0, -140, 0, -146, 0, 0, 0, 168, 0, -56, 0, 0, 0, 20, 0, 54, 0, 0, 0, 144, 0, -44, 0, 0, 0, 52, 0, -46, 0, 0, 0, -58, 0, 180, 0, 0, 0, 124, 0, 126, 0, 0, 0, -46, 0, -20, 0, 0, 0, 8, 0, -156, 0, 0, 0, -92, 0, 108, 0, 0, 0, -56, 0, 80, 0, 0, 0, 78, 0, 4, 0, 0, 0, -56, 0, 184, 0, 0, 0, -82, 0, 16, 0, 0, 0, 20, 0, 56, 0, 0, 0, -12, 0, 52, 0, 0, 0, 144, 0, 202, 0, 0, 0, 178, 0, 56, 0, 0, 0, -48, 0, 35, 0, 0, 0, 110, 0, 80, 0, 0, 0, 208, 0, -46, 0, 0, 0, -28, 0, 96, 0, 0, 0, 128, 0, 40, 0, 0, 0, -246, 0, 40, 0, 0, 0, -180, 0, 16, 0, 0, 0, 74, 0, 32, 0, 0, 0, 192, 0, 80, 0, 0, 0, 152, 0, -32, 0, 0, 0, 44, 0, 8, 0, 0, 0, 218, 0, -16, 0, 0, 0, -232, 0, 76, 0, 0, 0, -240, 0, 40, 0, 0, 0, -216, 0, 66, 0, 0, 0, 238, 0, 88, 0, 0, 0, -20, 0, -74, 0, 0, 0, -248, 0, 8, 0, 0, 0, -56, 0, 52, 0, 0, 0, 40, 0, 32, 0, 0, 0, -16, 0, -103, 0, 0, 0, 132, 0, 32, 0, 0, 0, 120, 0, 40, 0, 0, 0, 100, 0, 100, 0, 0, 0, 136, 0, -112, 0, 0, 0, -92, 0, -112, 0, 0, 0, -116, 0, -10, 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: 48173327
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 81064793326225448, 'source_is_minimal': False, 'source_label': '2088.2.a.s.1.3', 'source_level': 2088, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 81064793326225448, 'target_is_minimal': False, 'target_label': '2088.2.a.s.1.3', 'target_level': 2088, 'twist_class_label': '232.2.a.d.1.3', 'twist_class_level': 232, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48173328
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 81064793326225448, 'source_is_minimal': False, 'source_label': '2088.2.a.s.1.3', 'source_level': 2088, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13510798915666152, 'target_is_minimal': True, 'target_label': '232.2.a.d.1.3', 'target_level': 232, 'twist_class_label': '232.2.a.d.1.3', 'twist_class_level': 232, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48173329
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 81064793326225448, 'source_is_minimal': False, 'source_label': '2088.2.a.s.1.3', 'source_level': 2088, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 207165582892601424, 'target_is_minimal': False, 'target_label': '4176.2.a.bu.1.3', 'target_level': 4176, 'twist_class_label': '232.2.a.d.1.3', 'twist_class_level': 232, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48173330
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 81064793326225448, 'source_is_minimal': False, 'source_label': '2088.2.a.s.1.3', 'source_level': 2088, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679889360, 'target_is_minimal': False, 'target_label': '464.2.a.j.1.1', 'target_level': 464, 'twist_class_label': '232.2.a.d.1.3', 'twist_class_level': 232, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48173331
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 81064793326225448, 'source_is_minimal': False, 'source_label': '2088.2.a.s.1.3', 'source_level': 2088, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444117672, 'target_is_minimal': False, 'target_label': '5800.2.a.p.1.1', 'target_level': 5800, 'twist_class_label': '232.2.a.d.1.3', 'twist_class_level': 232, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 48173332
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 81064793326225448, 'source_is_minimal': False, 'source_label': '2088.2.a.s.1.3', 'source_level': 2088, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 103582791463077696, 'target_is_minimal': False, 'target_label': '1856.2.a.x.1.1', 'target_level': 1856, 'twist_class_label': '232.2.a.d.1.3', 'twist_class_level': 232, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48173333
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 81064793326225448, 'source_is_minimal': False, 'source_label': '2088.2.a.s.1.3', 'source_level': 2088, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 108086391090448192, 'target_is_minimal': False, 'target_label': '1856.2.a.y.1.3', 'target_level': 1856, 'twist_class_label': '232.2.a.d.1.3', 'twist_class_level': 232, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48173334
    {'conductor': 87, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 81064793326225448, 'source_is_minimal': False, 'source_label': '2088.2.a.s.1.3', 'source_level': 2088, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679895624, 'target_is_minimal': False, 'target_label': '6728.2.a.j.1.1', 'target_level': 6728, 'twist_class_label': '232.2.a.d.1.3', 'twist_class_level': 232, 'twisting_char_label': '87.86', 'twisting_conrey_index': 86, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2414475
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 81064793326225448, 'p': 2}
  • id: 2414476
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 81064793326225448, 'p': 3}
  • id: 2414477
    {'charpoly_factorization': [[[-10, -3, 4, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 5}
  • id: 2414478
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 81064793326225448, 'p': 7}
  • id: 2414479
    {'charpoly_factorization': [[[-80, -29, 2, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 11}
  • id: 2414480
    {'charpoly_factorization': [[[2, -19, -4, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 13}
  • id: 2414481
    {'charpoly_factorization': [[[2, 1], 3]], 'hecke_orbit_code': 81064793326225448, 'p': 17}
  • id: 2414482
    {'charpoly_factorization': [[[-32, -28, 4, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 19}
  • id: 2414483
    {'charpoly_factorization': [[[64, -20, -4, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 23}
  • id: 2414484
    {'charpoly_factorization': [[[1, 1], 3]], 'hecke_orbit_code': 81064793326225448, 'p': 29}
  • id: 2414485
    {'charpoly_factorization': [[[68, 59, 14, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 31}
  • id: 2414486
    {'charpoly_factorization': [[[-32, -32, 2, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 37}
  • id: 2414487
    {'charpoly_factorization': [[[-512, -64, 10, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 41}
  • id: 2414488
    {'charpoly_factorization': [[[32, -37, 6, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 43}
  • id: 2414489
    {'charpoly_factorization': [[[452, -117, -2, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 47}
  • id: 2414490
    {'charpoly_factorization': [[[-58, -43, 0, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 53}
  • id: 2414491
    {'charpoly_factorization': [[[-16, -4, 8, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 59}
  • id: 2414492
    {'charpoly_factorization': [[[328, -100, -2, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 61}
  • id: 2414493
    {'charpoly_factorization': [[[640, 32, -20, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 67}
  • id: 2414494
    {'charpoly_factorization': [[[-1696, -148, 12, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 71}
  • id: 2414495
    {'charpoly_factorization': [[[-160, -96, -2, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 73}
  • id: 2414496
    {'charpoly_factorization': [[[388, 251, 30, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 79}
  • id: 2414497
    {'charpoly_factorization': [[[976, 316, 32, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 83}
  • id: 2414498
    {'charpoly_factorization': [[[-2816, -256, 10, 1], 1]], 'hecke_orbit_code': 81064793326225448, 'p': 89}
  • id: 2414499
    {'charpoly_factorization': [[[-64, 32, 14, 1], 1]], 'hecke_orbit_code': 81064793326225448, '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': 19, 'label': '2088.2.a.s', 'level': 2088, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 62905537
    {'hecke_orbit_code': 81064793326225448, 'n': 1, 'trace_an': 3}
  • id: 62905538
    {'hecke_orbit_code': 81064793326225448, 'n': 2, 'trace_an': 0}
  • id: 62905539
    {'hecke_orbit_code': 81064793326225448, 'n': 3, 'trace_an': 0}
  • id: 62905540
    {'hecke_orbit_code': 81064793326225448, 'n': 4, 'trace_an': 0}
  • id: 62905541
    {'hecke_orbit_code': 81064793326225448, 'n': 5, 'trace_an': -4}
  • id: 62905542
    {'hecke_orbit_code': 81064793326225448, 'n': 6, 'trace_an': 0}
  • id: 62905543
    {'hecke_orbit_code': 81064793326225448, 'n': 7, 'trace_an': 0}
  • id: 62905544
    {'hecke_orbit_code': 81064793326225448, 'n': 8, 'trace_an': 0}
  • id: 62905545
    {'hecke_orbit_code': 81064793326225448, 'n': 9, 'trace_an': 0}
  • id: 62905546
    {'hecke_orbit_code': 81064793326225448, 'n': 10, 'trace_an': 0}
  • id: 62905547
    {'hecke_orbit_code': 81064793326225448, 'n': 11, 'trace_an': -2}
  • id: 62905548
    {'hecke_orbit_code': 81064793326225448, 'n': 12, 'trace_an': 0}
  • id: 62905549
    {'hecke_orbit_code': 81064793326225448, 'n': 13, 'trace_an': 4}
  • id: 62905550
    {'hecke_orbit_code': 81064793326225448, 'n': 14, 'trace_an': 0}
  • id: 62905551
    {'hecke_orbit_code': 81064793326225448, 'n': 15, 'trace_an': 0}
  • id: 62905552
    {'hecke_orbit_code': 81064793326225448, 'n': 16, 'trace_an': 0}
  • id: 62905553
    {'hecke_orbit_code': 81064793326225448, 'n': 17, 'trace_an': -6}
  • id: 62905554
    {'hecke_orbit_code': 81064793326225448, 'n': 18, 'trace_an': 0}
  • id: 62905555
    {'hecke_orbit_code': 81064793326225448, 'n': 19, 'trace_an': -4}
  • id: 62905556
    {'hecke_orbit_code': 81064793326225448, 'n': 20, 'trace_an': 0}
  • id: 62905557
    {'hecke_orbit_code': 81064793326225448, 'n': 21, 'trace_an': 0}
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  • id: 62905571
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  • id: 62905573
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  • id: 62905576
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  • id: 62905579
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  • id: 62905580
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  • id: 62905583
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  • id: 62905584
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  • id: 62905585
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  • id: 62905597
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  • id: 62905600
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  • id: 62905601
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  • id: 62905603
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  • id: 62905615
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  • id: 62905616
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  • id: 62905619
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  • id: 62905621
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  • id: 62905622
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  • id: 62905623
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  • id: 62905625
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  • id: 62905626
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  • id: 62905627
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  • id: 62905628
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  • id: 62905629
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  • id: 62905630
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  • id: 62905631
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  • id: 62905632
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  • id: 62905633
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  • id: 62905634
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  • id: 62905635
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  • id: 62905636
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  • id: 62905637
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  • id: 62905638
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  • id: 62905639
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  • id: 62905640
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  • id: 62905641
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  • id: 62905642
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  • id: 62905643
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  • id: 62905644
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  • id: 62905645
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  • id: 62905646
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  • id: 62905647
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  • id: 62905648
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  • id: 62905649
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  • id: 62905650
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  • id: 62905651
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  • id: 62905652
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  • id: 62905653
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  • id: 62905654
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  • id: 62905655
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  • id: 62905656
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  • id: 62905657
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  • id: 62905658
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  • id: 62905659
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  • id: 62905660
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  • id: 62905661
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  • id: 62905662
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  • id: 62905663
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  • id: 62905664
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  • id: 62905665
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  • id: 62905666
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  • id: 62905667
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  • id: 62905668
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  • id: 62905669
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  • id: 62905670
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  • id: 62905671
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  • id: 62905672
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  • id: 62905673
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  • id: 62905674
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  • id: 62905675
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  • id: 62905676
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  • id: 62905677
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  • id: 62905678
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  • id: 62905679
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  • id: 62905680
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  • id: 62905681
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  • id: 62905682
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  • id: 62905683
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  • id: 62905684
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  • id: 62905685
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  • id: 62905686
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  • id: 62905687
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  • id: 62905688
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  • id: 62905689
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  • id: 62905690
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  • id: 62905691
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  • id: 62905692
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  • id: 62905693
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  • id: 62905694
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  • id: 62905695
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  • id: 62905696
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  • id: 62905697
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  • id: 62905698
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  • id: 62905699
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  • id: 62905700
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  • id: 62905701
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  • id: 62905702
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  • id: 62905703
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  • id: 62905704
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  • id: 62905705
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  • id: 62905706
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  • id: 62905707
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  • id: 62905708
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  • id: 62905709
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  • id: 62905710
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  • id: 62905711
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  • id: 62905712
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  • id: 62905713
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  • id: 62905714
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  • id: 62905715
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  • id: 62905716
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  • id: 62905717
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  • id: 62905718
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  • id: 62905719
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  • id: 62905720
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  • id: 62905721
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  • id: 62905722
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  • id: 62905723
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  • id: 62905724
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  • id: 62905725
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  • id: 62905726
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  • id: 62905727
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  • id: 62905728
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  • id: 62905729
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  • id: 62905730
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  • id: 62905731
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  • id: 62905732
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  • id: 62905733
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  • id: 62905734
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  • id: 62905735
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  • id: 62905736
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  • id: 62905737
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  • id: 62905738
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  • id: 62905739
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  • id: 62905740
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  • id: 62905741
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  • id: 62905742
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  • id: 62905743
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  • id: 62905744
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  • id: 62905745
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  • id: 62905746
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  • id: 62905747
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  • id: 62905748
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  • id: 62905749
    {'hecke_orbit_code': 81064793326225448, 'n': 701, 'trace_an': -4}
  • id: 62905750
    {'hecke_orbit_code': 81064793326225448, 'n': 709, 'trace_an': 12}
  • id: 62905751
    {'hecke_orbit_code': 81064793326225448, 'n': 719, 'trace_an': 20}
  • id: 62905752
    {'hecke_orbit_code': 81064793326225448, 'n': 727, 'trace_an': -48}
  • id: 62905753
    {'hecke_orbit_code': 81064793326225448, 'n': 729, 'trace_an': 0}
  • id: 62905754
    {'hecke_orbit_code': 81064793326225448, 'n': 733, 'trace_an': 38}
  • id: 62905755
    {'hecke_orbit_code': 81064793326225448, 'n': 739, 'trace_an': -6}
  • id: 62905756
    {'hecke_orbit_code': 81064793326225448, 'n': 743, 'trace_an': 48}
  • id: 62905757
    {'hecke_orbit_code': 81064793326225448, 'n': 751, 'trace_an': -16}
  • id: 62905758
    {'hecke_orbit_code': 81064793326225448, 'n': 757, 'trace_an': -46}
  • id: 62905759
    {'hecke_orbit_code': 81064793326225448, 'n': 761, 'trace_an': 10}
  • id: 62905760
    {'hecke_orbit_code': 81064793326225448, 'n': 769, 'trace_an': 6}
  • id: 62905761
    {'hecke_orbit_code': 81064793326225448, 'n': 773, 'trace_an': -38}
  • id: 62905762
    {'hecke_orbit_code': 81064793326225448, 'n': 787, 'trace_an': -8}
  • id: 62905763
    {'hecke_orbit_code': 81064793326225448, 'n': 797, 'trace_an': -50}
  • id: 62905764
    {'hecke_orbit_code': 81064793326225448, 'n': 809, 'trace_an': -58}
  • id: 62905765
    {'hecke_orbit_code': 81064793326225448, 'n': 811, 'trace_an': 44}
  • id: 62905766
    {'hecke_orbit_code': 81064793326225448, 'n': 821, 'trace_an': 36}
  • id: 62905767
    {'hecke_orbit_code': 81064793326225448, 'n': 823, 'trace_an': 48}
  • id: 62905768
    {'hecke_orbit_code': 81064793326225448, 'n': 827, 'trace_an': -14}
  • id: 62905769
    {'hecke_orbit_code': 81064793326225448, 'n': 829, 'trace_an': -110}
  • id: 62905770
    {'hecke_orbit_code': 81064793326225448, 'n': 839, 'trace_an': -70}
  • id: 62905771
    {'hecke_orbit_code': 81064793326225448, 'n': 841, 'trace_an': 3}
  • id: 62905772
    {'hecke_orbit_code': 81064793326225448, 'n': 853, 'trace_an': -86}
  • id: 62905773
    {'hecke_orbit_code': 81064793326225448, 'n': 857, 'trace_an': -32}
  • id: 62905774
    {'hecke_orbit_code': 81064793326225448, 'n': 859, 'trace_an': 38}
  • id: 62905775
    {'hecke_orbit_code': 81064793326225448, 'n': 863, 'trace_an': 60}
  • id: 62905776
    {'hecke_orbit_code': 81064793326225448, 'n': 877, 'trace_an': -120}
  • id: 62905777
    {'hecke_orbit_code': 81064793326225448, 'n': 881, 'trace_an': 34}
  • id: 62905778
    {'hecke_orbit_code': 81064793326225448, 'n': 883, 'trace_an': -4}
  • id: 62905779
    {'hecke_orbit_code': 81064793326225448, 'n': 887, 'trace_an': 54}
  • id: 62905780
    {'hecke_orbit_code': 81064793326225448, 'n': 907, 'trace_an': 4}
  • id: 62905781
    {'hecke_orbit_code': 81064793326225448, 'n': 911, 'trace_an': -6}
  • id: 62905782
    {'hecke_orbit_code': 81064793326225448, 'n': 919, 'trace_an': -28}
  • id: 62905783
    {'hecke_orbit_code': 81064793326225448, 'n': 929, 'trace_an': 18}
  • id: 62905784
    {'hecke_orbit_code': 81064793326225448, 'n': 937, 'trace_an': -74}
  • id: 62905785
    {'hecke_orbit_code': 81064793326225448, 'n': 941, 'trace_an': 20}
  • id: 62905786
    {'hecke_orbit_code': 81064793326225448, 'n': 947, 'trace_an': -82}
  • id: 62905787
    {'hecke_orbit_code': 81064793326225448, 'n': 953, 'trace_an': -16}
  • id: 62905788
    {'hecke_orbit_code': 81064793326225448, 'n': 961, 'trace_an': -15}
  • id: 62905789
    {'hecke_orbit_code': 81064793326225448, 'n': 967, 'trace_an': 22}
  • id: 62905790
    {'hecke_orbit_code': 81064793326225448, 'n': 971, 'trace_an': 60}
  • id: 62905791
    {'hecke_orbit_code': 81064793326225448, 'n': 977, 'trace_an': -24}
  • id: 62905792
    {'hecke_orbit_code': 81064793326225448, 'n': 983, 'trace_an': -62}
  • id: 62905793
    {'hecke_orbit_code': 81064793326225448, 'n': 991, 'trace_an': 12}
  • id: 62905794
    {'hecke_orbit_code': 81064793326225448, 'n': 997, 'trace_an': 54}