Embedded newform data - 3168.2.a.j.1.1

Formats: - HTML - YAML - JSON - 2025-01-20T01:20:23.753528

• 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': 12672, 'analytic_conductor': 25.296607360341625, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [11, 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': [3168, 1, [991, 1189, 353, 1729], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [1, 1]], [7, [-4, 1]], [13, [2, 1]], [17, [0, 1]], [19, [2, 1]], [47, [-4, 1]]], 'hecke_orbit': 10, 'hecke_orbit_code': 40532396679892064, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '3168.2.a.j', 'level': 3168, '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, 11], 'level_radical': 66, 'minimal_twist': '352.2.a.c', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{5}+4q^{7}-q^{11}-2q^{13}-2q^{19}+\\cdots', 'related_objects': ['EllipticCurve/Q/3168/j'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3168.2.a', 'trace_display': [0, 0, -1, 4], 'trace_hash': 129812529809930989, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.977', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.912', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.671', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.011', 'prec': 17}, 'traces': [1, 0, 0, 0, -1, 0, 4, 0, 0, 0, -1, 0, -2, 0, 0, 0, 0, 0, -2, 0, 0, 0, -9, 0, -4, 0, 0, 0, -4, 0, 5, 0, 0, 0, -4, 0, -9, 0, 0, 0, -2, 0, -6, 0, 0, 0, 4, 0, 9, 0, 0, 0, 6, 0, 1, 0, 0, 0, 5, 0, 0, 0, 0, 0, 2, 0, -13, 0, 0, 0, 1, 0, 14, 0, 0, 0, -4, 0, -10, 0, 0, 0, -14, 0, 0, 0, 0, 0, 13, 0, -8, 0, 0, 0, 2, 0, -19, 0, 0, 0, 12, 0, -8, 0, 0, 0, -8, 0, 10, 0, 0, 0, 7, 0, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 9, 0, 2, 0, 0, 0, -16, 0, -8, 0, 0, 0, -13, 0, -16, 0, 0, 0, 2, 0, 4, 0, 0, 0, -12, 0, 14, 0, 0, 0, -5, 0, 13, 0, 0, 0, -36, 0, 20, 0, 0, 0, -18, 0, -9, 0, 0, 0, 22, 0, -16, 0, 0, 0, -11, 0, 11, 0, 0, 0, 9, 0, 0, 0, 0, 0, -15, 0, -12, 0, 0, 0, -22, 0, 0, 0, 0, 0, -16, 0, 2, 0, 0, 0, 2, 0, -12, 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0, 79, 0, 72, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -81, 0, 0, 0, 60, 0, 78, 0, 0, 0, 11, 0, 53, 0, 0, 0, 45, 0, -4, 0, 0, 0, -30, 0, -50, 0, 0, 0, 10, 0, 56, 0, 0, 0, -51, 0, -2, 0, 0, 0, 6, 0, 76, 0, 0, 0, -18, 0, 90, 0, 0, 0, -24, 0, -48, 0, 0, 0, 96, 0, 4, 0, 0, 0, -68, 0, 0, 0, 0, 0, 10, 0, -8, 0, 0, 0, 48, 0, -50, 0, 0, 0, -107, 0, 14, 0, 0, 0, -81, 0, -12, 0, 0, 0, 100, 0, -83, 0, 0, 0, 0, 0, 18, 0, 0, 0, -10, 0, -26, 0, 0, 0, 32, 0, 0, 0, 0, 0, -28, 0, -24, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• 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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4472135954999579, 0.0], [0.0, 0.0], [1.511857892036909, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.30151134457776363, 0.0], [0.0, 0.0], [-0.5547001962252291, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.45883146774112354, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.8766297265136729, 0.0], [0.0, 0.0], [-0.8, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7427813527082074, 0.0], [0.0, 0.0], [0.8980265101338745, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6761234037828132, 0.0], [0.0, 0.0], [-1.4795908857482156, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.31234752377721214, 0.0], [0.0, 0.0], [-0.914991421995628, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5834599659915782, 0.0], [0.0, 0.0], [1.2857142857142858, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8241633836921342, 0.0], [0.0, 0.0], [0.13483997249264842, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6509445549041193, 0.0], 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• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_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': [4, 6, 8, 7, 6, 4, 7, 8], 'Nk2': 12672, 'analytic_conductor': 25.296607360341625, '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': [3168, 1, [991, 1189, 353, 1729], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 545, 'dim': 50, 'eis_dim': 63, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 13, 17, 19, 47], 'hecke_orbit_code': 33557600, '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, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 4, 4], 'label': '3168.2.a', 'level': 3168, '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, 11], 'level_radical': 66, 'mf_dim': 608, 'mf_new_dim': 50, 'num_forms': 36, 'plus_dim': 22, 'prim_orbit_index': 1, 'relative_dim': 50, 'sturm_bound': 1152, 'trace_bound': 13, 'trace_display': [0, 0, 4, 0], 'traces': [50, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 38, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 66, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 50, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 164, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, -92, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, 124, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 164, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 0, 74, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -124, 0, 0, 0, 0, 0, 0, 0, -164, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -164, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, -156, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, -140, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 170, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, -252, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, -316, 0, 0, 0, 0, 0, 0, 0, -92, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 164, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, -86, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 116, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 212, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 228, 0, 0, 0, 0, 0, 0, 0, 100, 0, 0, 0, -200, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 236, 0, 0, 0, 0, 0, 0, 0, -124, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, -204, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 148, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, -82, 0, 0, 0, 252, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 356, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, -148, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, 250, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, -352, 0, 0, 0, 172, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, -400, 0, 0, 0, 0, 0, 0, 0, -204, 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: 46798018
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679892064, 'target_is_minimal': False, 'target_label': '3168.2.a.j.1.1', 'target_level': 3168, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46798019
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398543036768, 'target_is_minimal': True, 'target_label': '352.2.a.e.1.1', 'target_level': 352, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46798020
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597797780576, 'target_is_minimal': False, 'target_label': '3168.2.a.g.1.1', 'target_level': 3168, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46798021
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 189151184383121600, 'target_is_minimal': False, 'target_label': '6336.2.a.bq.1.1', 'target_level': 6336, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46798022
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 211669182519974080, 'target_is_minimal': False, 'target_label': '6336.2.a.bv.1.1', 'target_level': 6336, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46798023
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288295776, 'target_is_minimal': True, 'target_label': '352.2.a.c.1.1', 'target_level': 352, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46798024
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797052527200, 'target_is_minimal': False, 'target_label': '8800.2.a.i.1.1', 'target_level': 8800, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 46798025
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915666624, 'target_is_minimal': False, 'target_label': '704.2.a.d.1.1', 'target_level': 704, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46798026
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597797778112, 'target_is_minimal': False, 'target_label': '704.2.a.g.1.1', 'target_level': 704, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46798027
    {'conductor': 33, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679892768, 'target_is_minimal': False, 'target_label': '3872.2.a.j.1.1', 'target_level': 3872, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '33.32', 'twisting_conrey_index': 32, 'weight': 2}
  • id: 46798028
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1409, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137472510720, 'target_is_minimal': False, 'target_label': '2816.2.c.a.1409.1', 'target_level': 2816, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '48.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46798029
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1409, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 54043333000956672, 'target_is_minimal': False, 'target_label': '2816.2.c.m.1409.2', 'target_level': 2816, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '48.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46798030
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1409, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 137472510720, 'target_is_minimal': False, 'target_label': '2816.2.c.a.1409.2', 'target_level': 2816, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '48.29', 'twisting_conrey_index': 29, 'weight': 2}
  • id: 46798031
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1409, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043333000956672, 'target_is_minimal': False, 'target_label': '2816.2.c.m.1409.1', 'target_level': 2816, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '48.35', 'twisting_conrey_index': 35, 'weight': 2}
  • id: 46798032
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 85568392953602656, 'target_is_minimal': False, 'target_label': '8800.2.a.t.1.1', 'target_level': 8800, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 46798033
    {'conductor': 132, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398543040288, 'target_is_minimal': False, 'target_label': '3872.2.a.e.1.1', 'target_level': 3872, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '132.131', 'twisting_conrey_index': 131, 'weight': 2}
  • id: 46798034
    {'conductor': 264, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 108086391090454080, 'target_is_minimal': False, 'target_label': '7744.2.a.y.1.1', 'target_level': 7744, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '264.131', 'twisting_conrey_index': 131, 'weight': 2}
  • id: 46798035
    {'conductor': 264, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679892064, 'source_is_minimal': False, 'source_label': '3168.2.a.j.1.1', 'source_level': 3168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797052526144, 'target_is_minimal': False, 'target_label': '7744.2.a.i.1.1', 'target_level': 7744, 'twist_class_label': '352.2.a.c.1.1', 'twist_class_level': 352, 'twisting_char_label': '264.197', 'twisting_conrey_index': 197, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3038175
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 2}
  • id: 3038176
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 3}
  • id: 3038177
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 5}
  • id: 3038178
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 7}
  • id: 3038179
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 11}
  • id: 3038180
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 13}
  • id: 3038181
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 17}
  • id: 3038182
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 19}
  • id: 3038183
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 23}
  • id: 3038184
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 29}
  • id: 3038185
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 31}
  • id: 3038186
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 37}
  • id: 3038187
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 41}
  • id: 3038188
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 43}
  • id: 3038189
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 47}
  • id: 3038190
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 53}
  • id: 3038191
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 59}
  • id: 3038192
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 61}
  • id: 3038193
    {'charpoly_factorization': [[[13, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 67}
  • id: 3038194
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 71}
  • id: 3038195
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 73}
  • id: 3038196
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 79}
  • id: 3038197
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 83}
  • id: 3038198
    {'charpoly_factorization': [[[-13, 1], 1]], 'hecke_orbit_code': 40532396679892064, 'p': 89}
  • id: 3038199
    {'charpoly_factorization': [[[19, 1], 1]], 'hecke_orbit_code': 40532396679892064, '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': 10, 'label': '3168.2.a.j', 'level': 3168, '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: 52618561
    {'hecke_orbit_code': 40532396679892064, 'n': 1, 'trace_an': 1}
  • id: 52618562
    {'hecke_orbit_code': 40532396679892064, 'n': 2, 'trace_an': 0}
  • id: 52618563
    {'hecke_orbit_code': 40532396679892064, 'n': 3, 'trace_an': 0}
  • id: 52618564
    {'hecke_orbit_code': 40532396679892064, 'n': 4, 'trace_an': 0}
  • id: 52618565
    {'hecke_orbit_code': 40532396679892064, 'n': 5, 'trace_an': -1}
  • id: 52618566
    {'hecke_orbit_code': 40532396679892064, 'n': 6, 'trace_an': 0}
  • id: 52618567
    {'hecke_orbit_code': 40532396679892064, 'n': 7, 'trace_an': 4}
  • id: 52618568
    {'hecke_orbit_code': 40532396679892064, 'n': 8, 'trace_an': 0}
  • id: 52618569
    {'hecke_orbit_code': 40532396679892064, 'n': 9, 'trace_an': 0}
  • id: 52618570
    {'hecke_orbit_code': 40532396679892064, 'n': 10, 'trace_an': 0}
  • id: 52618571
    {'hecke_orbit_code': 40532396679892064, 'n': 11, 'trace_an': -1}
  • id: 52618572
    {'hecke_orbit_code': 40532396679892064, 'n': 12, 'trace_an': 0}
  • id: 52618573
    {'hecke_orbit_code': 40532396679892064, 'n': 13, 'trace_an': -2}
  • id: 52618574
    {'hecke_orbit_code': 40532396679892064, 'n': 14, 'trace_an': 0}
  • id: 52618575
    {'hecke_orbit_code': 40532396679892064, 'n': 15, 'trace_an': 0}
  • id: 52618576
    {'hecke_orbit_code': 40532396679892064, 'n': 16, 'trace_an': 0}
  • id: 52618577
    {'hecke_orbit_code': 40532396679892064, 'n': 17, 'trace_an': 0}
  • id: 52618578
    {'hecke_orbit_code': 40532396679892064, 'n': 18, 'trace_an': 0}
  • id: 52618579
    {'hecke_orbit_code': 40532396679892064, 'n': 19, 'trace_an': -2}
  • id: 52618580
    {'hecke_orbit_code': 40532396679892064, 'n': 20, 'trace_an': 0}
  • id: 52618581
    {'hecke_orbit_code': 40532396679892064, 'n': 21, 'trace_an': 0}
  • id: 52618582
    {'hecke_orbit_code': 40532396679892064, 'n': 22, 'trace_an': 0}
  • id: 52618583
    {'hecke_orbit_code': 40532396679892064, 'n': 23, 'trace_an': -9}
  • id: 52618584
    {'hecke_orbit_code': 40532396679892064, 'n': 24, 'trace_an': 0}
  • id: 52618585
    {'hecke_orbit_code': 40532396679892064, 'n': 25, 'trace_an': -4}
  • id: 52618586
    {'hecke_orbit_code': 40532396679892064, 'n': 26, 'trace_an': 0}
  • id: 52618587
    {'hecke_orbit_code': 40532396679892064, 'n': 27, 'trace_an': 0}
  • id: 52618588
    {'hecke_orbit_code': 40532396679892064, 'n': 28, 'trace_an': 0}
  • id: 52618589
    {'hecke_orbit_code': 40532396679892064, 'n': 29, 'trace_an': -4}
  • id: 52618590
    {'hecke_orbit_code': 40532396679892064, 'n': 30, 'trace_an': 0}
  • id: 52618591
    {'hecke_orbit_code': 40532396679892064, 'n': 31, 'trace_an': 5}
  • id: 52618592
    {'hecke_orbit_code': 40532396679892064, 'n': 32, 'trace_an': 0}
  • id: 52618593
    {'hecke_orbit_code': 40532396679892064, 'n': 33, 'trace_an': 0}
  • id: 52618594
    {'hecke_orbit_code': 40532396679892064, 'n': 34, 'trace_an': 0}
  • id: 52618595
    {'hecke_orbit_code': 40532396679892064, 'n': 35, 'trace_an': -4}
  • id: 52618596
    {'hecke_orbit_code': 40532396679892064, 'n': 36, 'trace_an': 0}
  • id: 52618597
    {'hecke_orbit_code': 40532396679892064, 'n': 37, 'trace_an': -9}
  • id: 52618598
    {'hecke_orbit_code': 40532396679892064, 'n': 38, 'trace_an': 0}
  • id: 52618599
    {'hecke_orbit_code': 40532396679892064, 'n': 39, 'trace_an': 0}
  • id: 52618600
    {'hecke_orbit_code': 40532396679892064, 'n': 40, 'trace_an': 0}
  • id: 52618601
    {'hecke_orbit_code': 40532396679892064, 'n': 41, 'trace_an': -2}
  • id: 52618602
    {'hecke_orbit_code': 40532396679892064, 'n': 42, 'trace_an': 0}
  • id: 52618603
    {'hecke_orbit_code': 40532396679892064, 'n': 43, 'trace_an': -6}
  • id: 52618604
    {'hecke_orbit_code': 40532396679892064, 'n': 44, 'trace_an': 0}
  • id: 52618605
    {'hecke_orbit_code': 40532396679892064, 'n': 45, 'trace_an': 0}
  • id: 52618606
    {'hecke_orbit_code': 40532396679892064, 'n': 46, 'trace_an': 0}
  • id: 52618607
    {'hecke_orbit_code': 40532396679892064, 'n': 47, 'trace_an': 4}
  • id: 52618608
    {'hecke_orbit_code': 40532396679892064, 'n': 48, 'trace_an': 0}
  • id: 52618609
    {'hecke_orbit_code': 40532396679892064, 'n': 49, 'trace_an': 9}
  • id: 52618610
    {'hecke_orbit_code': 40532396679892064, 'n': 50, 'trace_an': 0}
  • id: 52618611
    {'hecke_orbit_code': 40532396679892064, 'n': 51, 'trace_an': 0}
  • id: 52618612
    {'hecke_orbit_code': 40532396679892064, 'n': 52, 'trace_an': 0}
  • id: 52618613
    {'hecke_orbit_code': 40532396679892064, 'n': 53, 'trace_an': 6}
  • id: 52618614
    {'hecke_orbit_code': 40532396679892064, 'n': 54, 'trace_an': 0}
  • id: 52618615
    {'hecke_orbit_code': 40532396679892064, 'n': 55, 'trace_an': 1}
  • id: 52618616
    {'hecke_orbit_code': 40532396679892064, 'n': 56, 'trace_an': 0}
  • id: 52618617
    {'hecke_orbit_code': 40532396679892064, 'n': 57, 'trace_an': 0}
  • id: 52618618
    {'hecke_orbit_code': 40532396679892064, 'n': 58, 'trace_an': 0}
  • id: 52618619
    {'hecke_orbit_code': 40532396679892064, 'n': 59, 'trace_an': 5}
  • id: 52618620
    {'hecke_orbit_code': 40532396679892064, 'n': 60, 'trace_an': 0}
  • id: 52618621
    {'hecke_orbit_code': 40532396679892064, 'n': 61, 'trace_an': 0}
  • id: 52618622
    {'hecke_orbit_code': 40532396679892064, 'n': 62, 'trace_an': 0}
  • id: 52618623
    {'hecke_orbit_code': 40532396679892064, 'n': 63, 'trace_an': 0}
  • id: 52618624
    {'hecke_orbit_code': 40532396679892064, 'n': 64, 'trace_an': 0}
  • id: 52618625
    {'hecke_orbit_code': 40532396679892064, 'n': 65, 'trace_an': 2}
  • id: 52618626
    {'hecke_orbit_code': 40532396679892064, 'n': 66, 'trace_an': 0}
  • id: 52618627
    {'hecke_orbit_code': 40532396679892064, 'n': 67, 'trace_an': -13}
  • id: 52618628
    {'hecke_orbit_code': 40532396679892064, 'n': 68, 'trace_an': 0}
  • id: 52618629
    {'hecke_orbit_code': 40532396679892064, 'n': 69, 'trace_an': 0}
  • id: 52618630
    {'hecke_orbit_code': 40532396679892064, 'n': 70, 'trace_an': 0}
  • id: 52618631
    {'hecke_orbit_code': 40532396679892064, 'n': 71, 'trace_an': 1}
  • id: 52618632
    {'hecke_orbit_code': 40532396679892064, 'n': 72, 'trace_an': 0}
  • id: 52618633
    {'hecke_orbit_code': 40532396679892064, 'n': 73, 'trace_an': 14}
  • id: 52618634
    {'hecke_orbit_code': 40532396679892064, 'n': 74, 'trace_an': 0}
  • id: 52618635
    {'hecke_orbit_code': 40532396679892064, 'n': 75, 'trace_an': 0}
  • id: 52618636
    {'hecke_orbit_code': 40532396679892064, 'n': 76, 'trace_an': 0}
  • id: 52618637
    {'hecke_orbit_code': 40532396679892064, 'n': 77, 'trace_an': -4}
  • id: 52618638
    {'hecke_orbit_code': 40532396679892064, 'n': 78, 'trace_an': 0}
  • id: 52618639
    {'hecke_orbit_code': 40532396679892064, 'n': 79, 'trace_an': -10}
  • id: 52618640
    {'hecke_orbit_code': 40532396679892064, 'n': 80, 'trace_an': 0}
  • id: 52618641
    {'hecke_orbit_code': 40532396679892064, 'n': 81, 'trace_an': 0}
  • id: 52618642
    {'hecke_orbit_code': 40532396679892064, 'n': 82, 'trace_an': 0}
  • id: 52618643
    {'hecke_orbit_code': 40532396679892064, 'n': 83, 'trace_an': -14}
  • id: 52618644
    {'hecke_orbit_code': 40532396679892064, 'n': 84, 'trace_an': 0}
  • id: 52618645
    {'hecke_orbit_code': 40532396679892064, 'n': 85, 'trace_an': 0}
  • id: 52618646
    {'hecke_orbit_code': 40532396679892064, 'n': 86, 'trace_an': 0}
  • id: 52618647
    {'hecke_orbit_code': 40532396679892064, 'n': 87, 'trace_an': 0}
  • id: 52618648
    {'hecke_orbit_code': 40532396679892064, 'n': 88, 'trace_an': 0}
  • id: 52618649
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  • id: 52618650
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  • id: 52618651
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  • id: 52618652
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  • id: 52618653
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  • id: 52618655
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  • id: 52618656
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  • id: 52618657
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  • id: 52618658
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  • id: 52618659
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  • id: 52618660
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  • id: 52618661
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  • id: 52618662
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  • id: 52618663
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  • id: 52618664
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  • id: 52618665
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  • id: 52618666
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  • id: 52618667
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  • id: 52618668
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  • id: 52618669
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  • id: 52618670
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  • id: 52618671
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  • id: 52618672
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  • id: 52618673
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  • id: 52618674
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  • id: 52618675
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  • id: 52618676
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  • id: 52618677
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  • id: 52618678
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  • id: 52618679
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  • id: 52618680
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  • id: 52618681
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  • id: 52618682
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  • id: 52618683
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  • id: 52618684
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  • id: 52618685
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  • id: 52618686
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  • id: 52618687
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  • id: 52618688
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  • id: 52618689
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  • id: 52618690
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  • id: 52618691
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  • id: 52618692
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  • id: 52618693
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  • id: 52618694
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  • id: 52618695
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  • id: 52618696
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  • id: 52618697
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  • id: 52618698
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  • id: 52618699
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  • id: 52618700
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  • id: 52618701
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  • id: 52618702
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  • id: 52618703
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  • id: 52618704
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  • id: 52618705
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  • id: 52618706
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  • id: 52618707
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  • id: 52618708
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  • id: 52618709
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  • id: 52618710
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  • id: 52618711
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  • id: 52618712
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  • id: 52618713
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  • id: 52618714
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  • id: 52618715
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  • id: 52618716
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  • id: 52618717
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  • id: 52618718
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  • id: 52618719
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  • id: 52618720
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  • id: 52618721
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  • id: 52618722
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  • id: 52618723
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  • id: 52618724
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  • id: 52618725
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  • id: 52618726
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  • id: 52618727
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  • id: 52618728
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  • id: 52618729
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  • id: 52618730
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  • id: 52618731
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  • id: 52618732
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  • id: 52618733
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  • id: 52618734
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  • id: 52618735
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  • id: 52618736
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  • id: 52618737
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  • id: 52618738
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  • id: 52618739
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  • id: 52618740
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  • id: 52618741
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  • id: 52618742
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  • id: 52618743
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  • id: 52618744
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  • id: 52618745
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  • id: 52618746
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  • id: 52618747
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  • id: 52618748
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  • id: 52618749
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  • id: 52618750
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  • id: 52618751
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  • id: 52618752
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  • id: 52618753
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  • id: 52618754
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  • id: 52618755
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  • id: 52618756
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  • id: 52618757
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  • id: 52618758
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  • id: 52618759
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  • id: 52618760
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  • id: 52618761
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  • id: 52618762
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  • id: 52618763
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  • id: 52618764
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  • id: 52618765
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  • id: 52618766
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  • id: 52618767
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  • id: 52618768
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  • id: 52618769
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  • id: 52618770
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  • id: 52618771
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  • id: 52618772
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  • id: 52618773
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  • id: 52618774
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  • id: 52618775
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  • id: 52618776
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  • id: 52618777
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  • id: 52618778
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  • id: 52618779
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  • id: 52618780
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  • id: 52618781
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  • id: 52618782
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  • id: 52618783
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  • id: 52618784
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  • id: 52618785
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  • id: 52618786
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  • id: 52618787
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  • id: 52618788
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  • id: 52618789
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  • id: 52618790
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  • id: 52618791
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  • id: 52618792
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  • id: 52618793
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  • id: 52618794
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  • id: 52618795
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  • id: 52618796
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  • id: 52618797
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  • id: 52618798
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  • id: 52618799
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  • id: 52618800
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  • id: 52618801
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  • id: 52618802
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  • id: 52618803
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  • id: 52618804
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  • id: 52618805
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  • id: 52618806
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  • id: 52618807
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  • id: 52618808
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  • id: 52618809
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  • id: 52618810
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  • id: 52618811
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  • id: 52618812
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  • id: 52618813
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  • id: 52618814
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  • id: 52618815
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  • id: 52618816
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  • id: 52618817
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  • id: 52618818
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