Embedded newform data - 4056.2.c.r.337.5

Formats: - HTML - YAML - JSON - 2025-09-16T11:47:57.024423

• 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': 16224, 'analytic_conductor': 32.387323059831324, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 13, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [4056, 2, [1015, 2029, 2705, 3889], [2, 2, 2, 1]], 'cm_discs': [], 'conrey_index': 337, 'dim': 12, 'field_disc': 3142896311965978624, 'field_disc_factorization': [[2, 12], [7, 8], [83, 2], [139, 2]], 'field_poly': [16129, 0, 31203, 0, 17849, 0, 4599, 0, 601, 0, 39, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [16129, 0, 31203, 0, 17849, 0, 4599, 0, 601, 0, 39, 0, 1]], [7, [8281, 0, 25627, 0, 23121, 0, 8023, 0, 1041, 0, 55, 0, 1]], [11, [8281, 0, 35476, 0, 46494, 0, 21246, 0, 2197, 0, 82, 0, 1]]], 'hecke_orbit': 18, 'hecke_orbit_code': 76561331137810392, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 13, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '4056.2.c.r', 'level': 4056, '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, 13], 'level_radical': 78, 'minimal_twist': '4056.2.a.bh', 'prim_orbit_index': 2, 'qexp_display': 'q+q^{3}+\\beta _{1}q^{5}+(-\\beta _{9}+\\beta _{11})q^{7}+q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4056.2.c', 'trace_display': [0, 12, 0, 0], 'trace_hash': 2090120294292157059, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.862', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '552.085', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '50832.955', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.511', 'prec': 17}, 'traces': [12, 0, 12, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -24, 0, -18, 0, 12, 0, 14, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, -26, 0, -18, 0, 44, 0, 6, 0, 0, 0, 0, 0, 50, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -18, 0, -90, 0, 28, 0, 12, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, -94, 0, 0, 0, 0, 0, -42, 0, 46, 0, 12, 0, 100, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -20, 0, -30, 0, 30, 0, 2, 0, 0, 0, 0, 0, -34, 0, 0, 0, 0, 0, 0, 0, -26, 0, 0, 0, 0, 0, -18, 0, -74, 0, -82, 0, 44, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, -98, 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• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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-0.29661531401227975, -0.35042404274478534, -0.2899924313086228, 0.09091974460983004, -0.15635785170443894, -0.2079544214274934, -0.11720003963598052, -0.35246071003774404, -0.39088214098256974, -0.4196343067386446, -0.16018861481350677, -0.04106625574676183, 0.022008320284601215, 0.023686963857074698, -0.4624254192012075, -0.3195966297011639, 0.19722381702996516, 0.1088286733503237, -0.3584130104603991, -0.17153648644220665, 0.05481652403570837, -0.3154135042871983, -0.4247311946887926, -0.37283243063403837, -0.35152990478155366, -0.25917436289619517, 0.050211423504310924, -0.18279413902959366, 0.12140113815070806, -0.22619388958129058, -0.2908296492261529, -0.48579362657854, -0.3335302751841198, -0.11823091979697742, -0.4529105856202063, -0.4856503415486638, -0.47017282632350904, -0.22219901743199932, -0.4863694684933286, -0.3605653017363213, 0.009942537675014958, 0.04181562171611254, -0.2395298911564641, -0.3288324843763088, -0.24318640410671205, -0.1720231607066687, -0.20669509397533262, -0.1757737306001705, 0.08083198798501395, -0.21413136015948586, 0.005759111949231971, -0.13713989737295823, -0.3417469674755793, 0.04805900457992982, 0.0587505353218675, -0.30672914811669055, -0.34949240228878886, -0.380357432745813, -0.17551890584405302, 0.11540142018725433, 0.14907366311138864, -0.349931141939108], 'char_orbit_index': 3, 'conrey_index': 337, 'dual_conrey_index': 337, 'dual_embedding_index': 8, 'dual_embedding_m': 8, 'embedding_index': 5, 'embedding_m': 5, 'embedding_root_imag': -1.882268220945364, 'embedding_root_real': 0.0, 'hecke_orbit': 18, 'hecke_orbit_code': 76561331137810392, 'label': '4056.2.c.r.337.5', 'level': 4056, '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

  
  {'Nk2': 16224, 'analytic_conductor': 32.387323059831324, 'char_conductor': 13, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [4056, 2, [1015, 2029, 2705, 3889], [2, 2, 2, 1]], 'conrey_index': 337, 'cusp_dim': 672, 'dim': 78, 'eis_dim': 112, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11], 'hecke_orbit_code': 137472511960, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 6, 6, 6, 8, 12, 12], 'label': '4056.2.c', 'level': 4056, '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, 13], 'level_radical': 78, 'mf_dim': 784, 'mf_new_dim': 78, 'num_forms': 18, 'prim_orbit_index': 2, 'relative_dim': 78, 'sturm_bound': 1456, 'trace_bound': 23, 'trace_display': [0, -2, 0, 0], 'traces': [78, 0, -2, 0, 0, 0, 0, 0, 78, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -74, 0, -2, 0, -24, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -98, 0, 4, 0, 48, 0, 32, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 30, 0, 8, 0, -20, 0, 78, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 8, 0, -12, 0, -8, 0, 40, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -98, 0, 0, 0, 0, 0, -20, 0, 8, 0, -24, 0, 16, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, -104, 0, -24, 0, -8, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -196, 0, 0, 0, 0, 0, -24, 0, 0, 0, 28, 0, 92, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, -180, 0, -8, 0, 24, 0, -8, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -74, 0, 0, 0, 0, 0, -24, 0, -132, 0, 40, 0, 16, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 8, 0, -24, 0, -24, 0, 144, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 120, 0, 8, 0, -40, 0, 38, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -40, 0, 112, 0, 176, 0, -8, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -16, 0, 60, 0, 28, 0, -64, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -94, 0, 10, 0, 100, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 24, 0, -32, 0, 152, 0, 76, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 32, 0, -56, 0, -48, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, -52, 0, -98, 0, 16, 0, -16, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -72, 0, -80, 0, -96, 0, -76, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -136, 0, -156, 0, 32, 0, -72, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 40, 0, -56, 0, 56, 0, -368, 0, 0, 0, 0, 0, 62, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 300, 0, 120, 0, 40, 0, 48, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -92, 0, 336, 0, -40, 0, 184, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 144, 0, -40, 0, -88, 0, 204, 0, 0, 0, 0, 0, -380, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -8, 0, 40, 0, -58, 0, -56, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 72, 0, 0, 0, -288, 0, 4, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -68, 0, 30, 0, -404, 0, -24, 0, 0, 0, 0, 0, -300, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 140, 0, 476, 0, -256, 0, 16, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 612, 0, 100, 0, 78, 0, 48, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -108, 0, 44, 0, -8, 0, -404, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -8, 0, -32, 0, -40, 0, -32, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 420, 0, 0, 0, 0, 0, -96, 0, -152, 0, 96, 0, -88, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -128, 0, 300, 0, -16, 0, -152, 0, 0, 0, 0, 0, 106, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -16, 0, -24, 0, -32, 0, 16, 0, 0, 0, 0, 0, -118, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 96, 0, -80, 0, -104, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 388, 0, 0, 0, 0, 0, 328, 0, 8, 0, -128, 0, -104, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -24, 0, 32, 0, -84, 0, -60, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -204, 0, 0, 0, 0, 0, -8, 0, -34, 0, 40, 0, -460, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -96, 0, 104, 0, 40, 0, -260, 0, 0, 0, 0, 0, 32, 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: 48147643
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 337, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561331137810392, 'source_is_minimal': False, 'source_label': '4056.2.c.r.337.5', 'source_level': 4056, 'target_conrey_index': 337, 'target_dim': 12, 'target_embedding_index': 5, 'target_hecke_orbit_code': 76561331137810392, 'target_is_minimal': False, 'target_label': '4056.2.c.r.337.5', 'target_level': 4056, 'twist_class_label': '4056.2.a.bh.1.3', 'twist_class_level': 4056, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48147644
    {'conductor': 13, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 337, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561331137810392, 'source_is_minimal': False, 'source_label': '4056.2.c.r.337.5', 'source_level': 4056, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 148618787736784856, 'target_is_minimal': True, 'target_label': '4056.2.a.bh.1.3', 'target_level': 4056, 'twist_class_label': '4056.2.a.bh.1.3', 'twist_class_level': 4056, 'twisting_char_label': '13.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48147645
    {'conductor': 13, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 337, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561331137810392, 'source_is_minimal': False, 'source_label': '4056.2.c.r.337.5', 'source_level': 4056, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 153122387364155352, 'target_is_minimal': True, 'target_label': '4056.2.a.bi.1.4', 'target_level': 4056, 'twist_class_label': '4056.2.a.bh.1.3', 'twist_class_level': 4056, 'twisting_char_label': '13.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 48147646
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 337, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561331137810392, 'source_is_minimal': False, 'source_label': '4056.2.c.r.337.5', 'source_level': 4056, 'target_conrey_index': 337, 'target_dim': 12, 'target_embedding_index': 8, 'target_hecke_orbit_code': 76561331137810392, 'target_is_minimal': False, 'target_label': '4056.2.c.r.337.8', 'target_level': 4056, 'twist_class_label': '4056.2.a.bh.1.3', 'twist_class_level': 4056, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 2}
  • id: 48147647
    {'conductor': 52, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 337, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561331137810392, 'source_is_minimal': False, 'source_label': '4056.2.c.r.337.5', 'source_level': 4056, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 319755573576867760, 'target_is_minimal': False, 'target_label': '8112.2.a.ct.1.3', 'target_level': 8112, 'twist_class_label': '4056.2.a.bh.1.3', 'twist_class_level': 4056, 'twisting_char_label': '52.31', 'twisting_conrey_index': 31, 'weight': 2}
  • id: 48147648
    {'conductor': 52, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 337, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561331137810392, 'source_is_minimal': False, 'source_label': '4056.2.c.r.337.5', 'source_level': 4056, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 324259173204238256, 'target_is_minimal': False, 'target_label': '8112.2.a.cu.1.4', 'target_level': 8112, 'twist_class_label': '4056.2.a.bh.1.3', 'twist_class_level': 4056, 'twisting_char_label': '52.47', 'twisting_conrey_index': 47, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3486475
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 76561331137810392, 'p': 2}
  • id: 3486476
    {'charpoly_factorization': [[[-1, 1], 12]], 'hecke_orbit_code': 76561331137810392, 'p': 3}
  • id: 3486477
    {'charpoly_factorization': [[[16129, 0, 31203, 0, 17849, 0, 4599, 0, 601, 0, 39, 0, 1], 1]], 'hecke_orbit_code': 76561331137810392, 'p': 5}
  • id: 3486478
    {'charpoly_factorization': [[[8281, 0, 25627, 0, 23121, 0, 8023, 0, 1041, 0, 55, 0, 1], 1]], 'hecke_orbit_code': 76561331137810392, 'p': 7}
  • id: 3486479
    {'charpoly_factorization': [[[8281, 0, 35476, 0, 46494, 0, 21246, 0, 2197, 0, 82, 0, 1], 1]], 'hecke_orbit_code': 76561331137810392, 'p': 11}
  • id: 3486480
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 76561331137810392, 'p': 13}
  • id: 3486481
    {'charpoly_factorization': [[[8, 92, -60, -49, 12, 9, 1], 2]], 'hecke_orbit_code': 76561331137810392, 'p': 17}
  • id: 3486482
    {'charpoly_factorization': [[[692224, 0, 782848, 0, 255376, 0, 37281, 0, 2678, 0, 89, 0, 1], 1]], 'hecke_orbit_code': 76561331137810392, 'p': 19}
  • id: 3486483
    {'charpoly_factorization': [[[16856, 6860, -924, -573, -15, 12, 1], 2]], 'hecke_orbit_code': 76561331137810392, 'p': 23}
  • id: 3486484
    {'charpoly_factorization': [[[27397, -15799, 1011, 707, -87, -7, 1], 2]], 'hecke_orbit_code': 76561331137810392, 'p': 29}
  • id: 3486485
    {'charpoly_factorization': [[[90601, 0, 182035, 0, 115941, 0, 28687, 0, 2509, 0, 87, 0, 1], 1]], 'hecke_orbit_code': 76561331137810392, 'p': 31}
  • id: 3486486
    {'charpoly_factorization': [[[440896, 0, 12347920, 0, 4741848, 0, 433769, 0, 15301, 0, 214, 0, 1], 1]], 'hecke_orbit_code': 76561331137810392, 'p': 37}
  • id: 3486487
    {'charpoly_factorization': [[[6198097984, 0, 1739021600, 0, 147589396, 0, 4463585, 0, 61654, 0, 401, 0, 1], 1]], 'hecke_orbit_code': 76561331137810392, 'p': 41}
  • id: 3486488
    {'charpoly_factorization': [[[-249992, 60460, 7292, -1795, -117, 15, 1], 2]], 'hecke_orbit_code': 76561331137810392, 'p': 43}
  • id: 3486489
    {'charpoly_factorization': [[[82686152704, 0, 8572118528, 0, 350522000, 0, 7284697, 0, 81170, 0, 457, 0, 1], 1]], 'hecke_orbit_code': 76561331137810392, 'p': 47}
  • id: 3486490
    {'charpoly_factorization': [[[-13, 24, -11, 1], 4]], 'hecke_orbit_code': 76561331137810392, 'p': 53}
  • id: 3486491
    {'charpoly_factorization': [[[1236544, 0, 75575968, 0, 16624308, 0, 1205329, 0, 34602, 0, 349, 0, 1], 1]], 'hecke_orbit_code': 76561331137810392, 'p': 59}
  • id: 3486492
    {'charpoly_factorization': [[[22504, -23816, -7134, 1725, 74, -25, 1], 2]], 'hecke_orbit_code': 76561331137810392, 'p': 61}
  • id: 3486493
    {'charpoly_factorization': [[[50580544, 0, 150858848, 0, 24434452, 0, 1437801, 0, 36510, 0, 377, 0, 1], 1]], 'hecke_orbit_code': 76561331137810392, 'p': 67}
  • id: 3486494
    {'charpoly_factorization': [[[537868864, 0, 193435232, 0, 23098004, 0, 1242829, 0, 31989, 0, 354, 0, 1], 1]], 'hecke_orbit_code': 76561331137810392, 'p': 71}
  • id: 3486495
    {'charpoly_factorization': [[[11895610489, 0, 5201940891, 0, 488666997, 0, 14807367, 0, 155021, 0, 663, 0, 1], 1]], 'hecke_orbit_code': 76561331137810392, 'p': 73}
  • id: 3486496
    {'charpoly_factorization': [[[784147, -427966, 22148, 4914, -329, -14, 1], 2]], 'hecke_orbit_code': 76561331137810392, 'p': 79}
  • id: 3486497
    {'charpoly_factorization': [[[358739904601, 0, 40864850139, 0, 1518615073, 0, 24842643, 0, 195893, 0, 723, 0, 1], 1]], 'hecke_orbit_code': 76561331137810392, 'p': 83}
  • id: 3486498
    {'charpoly_factorization': [[[618336886336, 0, 62768931744, 0, 1960955412, 0, 28198009, 0, 206190, 0, 737, 0, 1], 1]], 'hecke_orbit_code': 76561331137810392, 'p': 89}
  • id: 3486499
    {'charpoly_factorization': [[[505607745721, 0, 110657062377, 0, 4147095858, 0, 57463651, 0, 349928, 0, 968, 0, 1], 1]], 'hecke_orbit_code': 76561331137810392, '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': 3, 'hecke_orbit': 18, 'label': '4056.2.c.r', 'level': 4056, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 62811109
    {'hecke_orbit_code': 76561331137810392, 'n': 1, 'trace_an': 12}
  • id: 62811110
    {'hecke_orbit_code': 76561331137810392, 'n': 2, 'trace_an': 0}
  • id: 62811111
    {'hecke_orbit_code': 76561331137810392, 'n': 3, 'trace_an': 12}
  • id: 62811112
    {'hecke_orbit_code': 76561331137810392, 'n': 4, 'trace_an': 0}
  • id: 62811113
    {'hecke_orbit_code': 76561331137810392, 'n': 5, 'trace_an': 0}
  • id: 62811114
    {'hecke_orbit_code': 76561331137810392, 'n': 6, 'trace_an': 0}
  • id: 62811115
    {'hecke_orbit_code': 76561331137810392, 'n': 7, 'trace_an': 0}
  • id: 62811116
    {'hecke_orbit_code': 76561331137810392, 'n': 8, 'trace_an': 0}
  • id: 62811117
    {'hecke_orbit_code': 76561331137810392, 'n': 9, 'trace_an': 12}
  • id: 62811118
    {'hecke_orbit_code': 76561331137810392, 'n': 10, 'trace_an': 0}
  • id: 62811119
    {'hecke_orbit_code': 76561331137810392, 'n': 11, 'trace_an': 0}
  • id: 62811120
    {'hecke_orbit_code': 76561331137810392, 'n': 12, 'trace_an': 0}
  • id: 62811121
    {'hecke_orbit_code': 76561331137810392, 'n': 13, 'trace_an': 0}
  • id: 62811122
    {'hecke_orbit_code': 76561331137810392, 'n': 14, 'trace_an': 0}
  • id: 62811123
    {'hecke_orbit_code': 76561331137810392, 'n': 15, 'trace_an': 0}
  • id: 62811124
    {'hecke_orbit_code': 76561331137810392, 'n': 16, 'trace_an': 0}
  • id: 62811125
    {'hecke_orbit_code': 76561331137810392, 'n': 17, 'trace_an': -18}
  • id: 62811126
    {'hecke_orbit_code': 76561331137810392, 'n': 18, 'trace_an': 0}
  • id: 62811127
    {'hecke_orbit_code': 76561331137810392, 'n': 19, 'trace_an': 0}
  • id: 62811128
    {'hecke_orbit_code': 76561331137810392, 'n': 20, 'trace_an': 0}
  • id: 62811129
    {'hecke_orbit_code': 76561331137810392, 'n': 21, 'trace_an': 0}
  • id: 62811130
    {'hecke_orbit_code': 76561331137810392, 'n': 22, 'trace_an': 0}
  • id: 62811131
    {'hecke_orbit_code': 76561331137810392, 'n': 23, 'trace_an': -24}
  • id: 62811132
    {'hecke_orbit_code': 76561331137810392, 'n': 24, 'trace_an': 0}
  • id: 62811133
    {'hecke_orbit_code': 76561331137810392, 'n': 25, 'trace_an': -18}
  • id: 62811134
    {'hecke_orbit_code': 76561331137810392, 'n': 26, 'trace_an': 0}
  • id: 62811135
    {'hecke_orbit_code': 76561331137810392, 'n': 27, 'trace_an': 12}
  • id: 62811136
    {'hecke_orbit_code': 76561331137810392, 'n': 28, 'trace_an': 0}
  • id: 62811137
    {'hecke_orbit_code': 76561331137810392, 'n': 29, 'trace_an': 14}
  • id: 62811138
    {'hecke_orbit_code': 76561331137810392, 'n': 30, 'trace_an': 0}
  • id: 62811139
    {'hecke_orbit_code': 76561331137810392, 'n': 31, 'trace_an': 0}
  • id: 62811140
    {'hecke_orbit_code': 76561331137810392, 'n': 32, 'trace_an': 0}
  • id: 62811141
    {'hecke_orbit_code': 76561331137810392, 'n': 33, 'trace_an': 0}
  • id: 62811142
    {'hecke_orbit_code': 76561331137810392, 'n': 34, 'trace_an': 0}
  • id: 62811143
    {'hecke_orbit_code': 76561331137810392, 'n': 35, 'trace_an': 12}
  • id: 62811144
    {'hecke_orbit_code': 76561331137810392, 'n': 36, 'trace_an': 0}
  • id: 62811145
    {'hecke_orbit_code': 76561331137810392, 'n': 37, 'trace_an': 0}
  • id: 62811146
    {'hecke_orbit_code': 76561331137810392, 'n': 38, 'trace_an': 0}
  • id: 62811147
    {'hecke_orbit_code': 76561331137810392, 'n': 39, 'trace_an': 0}
  • id: 62811148
    {'hecke_orbit_code': 76561331137810392, 'n': 40, 'trace_an': 0}
  • id: 62811149
    {'hecke_orbit_code': 76561331137810392, 'n': 41, 'trace_an': 0}
  • id: 62811150
    {'hecke_orbit_code': 76561331137810392, 'n': 42, 'trace_an': 0}
  • id: 62811151
    {'hecke_orbit_code': 76561331137810392, 'n': 43, 'trace_an': -30}
  • id: 62811152
    {'hecke_orbit_code': 76561331137810392, 'n': 44, 'trace_an': 0}
  • id: 62811153
    {'hecke_orbit_code': 76561331137810392, 'n': 45, 'trace_an': 0}
  • id: 62811154
    {'hecke_orbit_code': 76561331137810392, 'n': 46, 'trace_an': 0}
  • id: 62811155
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  • id: 62811161
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  • id: 62811163
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  • id: 62811169
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  • id: 62811171
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  • id: 62811172
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  • id: 62811174
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  • id: 62811176
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  • id: 62811177
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  • id: 62811178
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  • id: 62811183
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  • id: 62811187
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  • id: 62811188
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  • id: 62811189
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  • id: 62811191
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  • id: 62811192
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  • id: 62811193
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  • id: 62811198
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  • id: 62811203
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  • id: 62811204
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  • id: 62811206
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  • id: 62811208
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  • id: 62811210
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  • id: 62811211
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  • id: 62811212
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  • id: 62811213
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  • id: 62811214
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  • id: 62811215
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  • id: 62811216
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  • id: 62811217
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  • id: 62811218
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  • id: 62811219
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  • id: 62811220
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  • id: 62811221
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  • id: 62811222
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  • id: 62811223
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  • id: 62811224
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  • id: 62811225
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  • id: 62811226
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  • id: 62811227
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  • id: 62811228
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  • id: 62811229
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  • id: 62811230
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  • id: 62811231
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  • id: 62811232
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  • id: 62811233
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  • id: 62811234
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  • id: 62811235
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  • id: 62811236
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  • id: 62811237
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  • id: 62811238
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  • id: 62811239
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  • id: 62811240
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  • id: 62811241
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  • id: 62811242
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  • id: 62811243
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  • id: 62811244
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  • id: 62811245
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  • id: 62811246
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  • id: 62811247
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  • id: 62811248
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  • id: 62811249
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  • id: 62811250
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  • id: 62811251
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  • id: 62811252
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  • id: 62811253
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  • id: 62811254
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  • id: 62811255
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  • id: 62811256
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  • id: 62811257
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  • id: 62811258
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  • id: 62811259
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  • id: 62811260
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  • id: 62811261
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  • id: 62811262
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  • id: 62811263
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  • id: 62811264
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  • id: 62811265
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  • id: 62811266
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  • id: 62811267
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  • id: 62811268
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  • id: 62811269
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  • id: 62811270
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  • id: 62811271
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  • id: 62811272
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  • id: 62811273
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  • id: 62811274
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  • id: 62811275
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  • id: 62811276
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  • id: 62811277
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  • id: 62811278
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  • id: 62811279
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  • id: 62811280
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  • id: 62811281
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  • id: 62811282
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  • id: 62811283
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  • id: 62811284
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  • id: 62811285
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  • id: 62811286
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  • id: 62811287
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  • id: 62811288
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  • id: 62811289
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  • id: 62811290
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  • id: 62811291
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  • id: 62811292
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  • id: 62811293
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  • id: 62811294
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  • id: 62811295
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  • id: 62811296
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  • id: 62811297
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  • id: 62811298
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  • id: 62811299
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  • id: 62811300
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  • id: 62811301
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  • id: 62811302
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  • id: 62811303
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  • id: 62811304
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  • id: 62811305
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  • id: 62811306
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  • id: 62811307
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  • id: 62811308
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  • id: 62811309
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  • id: 62811310
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  • id: 62811311
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  • id: 62811312
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  • id: 62811313
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  • id: 62811314
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  • id: 62811315
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  • id: 62811316
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  • id: 62811317
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  • id: 62811318
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  • id: 62811319
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  • id: 62811320
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  • id: 62811321
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  • id: 62811322
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  • id: 62811323
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  • id: 62811324
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  • id: 62811325
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  • id: 62811326
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  • id: 62811327
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  • id: 62811328
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  • id: 62811329
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  • id: 62811330
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  • id: 62811331
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  • id: 62811332
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  • id: 62811333
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  • id: 62811334
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  • id: 62811335
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  • id: 62811336
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  • id: 62811337
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  • id: 62811338
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  • id: 62811339
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  • id: 62811340
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  • id: 62811341
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  • id: 62811342
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  • id: 62811343
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  • id: 62811344
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  • id: 62811345
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  • id: 62811346
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  • id: 62811347
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  • id: 62811348
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  • id: 62811349
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  • id: 62811350
    {'hecke_orbit_code': 76561331137810392, 'n': 883, 'trace_an': 78}
  • id: 62811351
    {'hecke_orbit_code': 76561331137810392, 'n': 887, 'trace_an': -116}
  • id: 62811352
    {'hecke_orbit_code': 76561331137810392, 'n': 907, 'trace_an': 158}
  • id: 62811353
    {'hecke_orbit_code': 76561331137810392, 'n': 911, 'trace_an': -44}
  • id: 62811354
    {'hecke_orbit_code': 76561331137810392, 'n': 919, 'trace_an': -204}
  • id: 62811355
    {'hecke_orbit_code': 76561331137810392, 'n': 929, 'trace_an': 0}
  • id: 62811356
    {'hecke_orbit_code': 76561331137810392, 'n': 937, 'trace_an': -200}
  • id: 62811357
    {'hecke_orbit_code': 76561331137810392, 'n': 941, 'trace_an': 0}
  • id: 62811358
    {'hecke_orbit_code': 76561331137810392, 'n': 947, 'trace_an': 0}
  • id: 62811359
    {'hecke_orbit_code': 76561331137810392, 'n': 953, 'trace_an': 2}
  • id: 62811360
    {'hecke_orbit_code': 76561331137810392, 'n': 961, 'trace_an': 198}
  • id: 62811361
    {'hecke_orbit_code': 76561331137810392, 'n': 967, 'trace_an': 0}
  • id: 62811362
    {'hecke_orbit_code': 76561331137810392, 'n': 971, 'trace_an': 248}
  • id: 62811363
    {'hecke_orbit_code': 76561331137810392, 'n': 977, 'trace_an': 0}
  • id: 62811364
    {'hecke_orbit_code': 76561331137810392, 'n': 983, 'trace_an': 0}
  • id: 62811365
    {'hecke_orbit_code': 76561331137810392, 'n': 991, 'trace_an': 112}
  • id: 62811366
    {'hecke_orbit_code': 76561331137810392, 'n': 997, 'trace_an': -454}