Embedded newform data - 9300.2.a.x.1.4

Formats: - HTML - YAML - JSON - 2025-12-14T19:28:39.124528

• 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': 37200, 'analytic_conductor': 74.26087387979075, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [5, 1], [31, -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': [9300, 1, [4651, 3101, 2977, 1801], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 224148, 'field_disc_factorization': [[2, 2], [3, 1], [18679, 1]], 'field_poly': [14, 9, -11, -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': [[7, [116, 54, -20, -4, 1]], [11, [224, 72, -44, -2, 1]], [13, [88, -82, -36, 2, 1]], [17, [96, -108, -40, 2, 1]]], 'hecke_orbit': 24, 'hecke_orbit_code': 103582791463085140, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], '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': '9300.2.a.x', 'level': 9300, '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, 5, 31], 'level_radical': 930, 'minimal_twist': '1860.2.a.i', 'nf_label': '4.4.224148.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{3}+(1-\\beta _{1})q^{7}+q^{9}+(\\beta _{1}+\\beta _{2}+\\cdots)q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '9300.2.a', 'trace_display': [0, 4, 0, 4], 'trace_hash': 1752016720615012426, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.069', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.840', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.110', 'prec': 17}, {'__RealLiteral__': 0, 'data': '39.144', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '611.548', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.019', 'prec': 17}, 'traces': [4, 0, 4, 0, 0, 0, 4, 0, 4, 0, 2, 0, -2, 0, 0, 0, -2, 0, 0, 0, 4, 0, 2, 0, 0, 0, 4, 0, 20, 0, 4, 0, 2, 0, 0, 0, -4, 0, -2, 0, 6, 0, 2, 0, 0, 0, -2, 0, 28, 0, -2, 0, 6, 0, 0, 0, 0, 0, 0, 0, 8, 0, 4, 0, 0, 0, -10, 0, 2, 0, 2, 0, -16, 0, 0, 0, -32, 0, 20, 0, 4, 0, 14, 0, 0, 0, 20, 0, 26, 0, 16, 0, 4, 0, 0, 0, -14, 0, 2, 0, 22, 0, -2, 0, 0, 0, -6, 0, 40, 0, -4, 0, 12, 0, 0, 0, -2, 0, 14, 0, 48, 0, 6, 0, 0, 0, -12, 0, 2, 0, -20, 0, 0, 0, 0, 0, -18, 0, 40, 0, -2, 0, 56, 0, 0, 0, 28, 0, -2, 0, 16, 0, -2, 0, 0, 0, -6, 0, 6, 0, -14, 0, 6, 0, 0, 0, 12, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 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-126, 0, -272, 0, -76, 0, -140, 0, 0, 0, -2, 0, 150, 0, -84, 0, 6, 0, 0, 0, -128, 0, 0, 0, 40, 0, 176, 0, 0, 0, 4, 0, 264, 0, -114, 0, -126, 0, 0, 0, -4, 0, 148, 0, 124], '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

  
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-0.25678460871242764, -0.1799563686701767, -0.3545367993121456, -0.25826969054763876, -0.21063398621120205, -0.2732957286558175, -0.3631160125420277, -0.1605107366788545, -0.29027868253015593, -0.3776358528113991, -0.0794023618008475, -0.3267246666249143, -0.2568958027153353, -0.18708952146840396, -0.18562077577581526, -0.1313265374200223, -0.21255937346560977, -0.2697784865008911, -0.269315351837116, -0.2808323962027937, -0.23759878069848533, -0.3063125126705127, -0.15257047120113132, -0.2451002624852106, -0.2900186244749635, -0.2912323382114225, -0.237325450517525, -0.16504383546726745, -0.3917012168740377, -0.25191821388648084, -0.3751448776859488, -0.10412051519919667, -0.43837562246352973, -0.18461926107936272, -0.23646012337438777, -0.19835547450168237, -0.18073161364309362, -0.32886661643341963, -0.29633146126336274, -0.19067922793143383, -0.2917880009787572, -0.21347364816510103, -0.39965832377408594, -0.08237829168090932, -0.3608270375495097, -0.1675690670211008, -0.28977244875108665, -0.3727324500094087, -0.37739418180557777, -0.2622603353054704, -0.17288075956110557, -0.31251433544943347, -0.13607328611478614, -0.3486248647072416, -0.21432208835024114, -0.4154932622409547, -0.40165927226701653], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 0.0, 'embedding_root_real': -3.063155069231559, 'hecke_orbit': 24, 'hecke_orbit_code': 103582791463085140, 'label': '9300.2.a.x.1.4', 'level': 9300, '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': [0, 0, 0, 0, 0, 0, 0, 0, 13, 10, 11, 13, 10, 13, 13, 11], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6, 3, 3, 3, 3, 3, 3, 3, 3], 'ALdims_old': [115, 117, 120, 117, 120, 117, 114, 117, 107, 107, 106, 107, 107, 107, 107, 106], 'Nk2': 37200, 'analytic_conductor': 74.26087387979075, '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': [9300, 1, [4651, 3101, 2977, 1801], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1885, 'dim': 94, 'eis_dim': 71, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 13, 17], 'hecke_orbit_code': 33563732, '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, 3, 4, 6, 6, 6, 6, 7, 7, 7, 7], 'label': '9300.2.a', 'level': 9300, '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, 5, 31], 'level_radical': 930, 'mf_dim': 1956, 'mf_new_dim': 94, 'num_forms': 32, 'plus_dim': 42, 'prim_orbit_index': 1, 'relative_dim': 94, 'sturm_bound': 3840, 'trace_bound': 11, 'trace_display': [0, 0, 0, 4], 'traces': [94, 0, 0, 0, 0, 0, 4, 0, 94, 0, -4, 0, 0, 0, 0, 0, -4, 0, -12, 0, 0, 0, -12, 0, 0, 0, 0, 0, 24, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 16, 0, 4, 0, 0, 0, -12, 0, 90, 0, 4, 0, -20, 0, 0, 0, 8, 0, 0, 0, 52, 0, 4, 0, 0, 0, -24, 0, 8, 0, -16, 0, -24, 0, 0, 0, -36, 0, -8, 0, 94, 0, 0, 0, 0, 0, -4, 0, 20, 0, -4, 0, 2, 0, 0, 0, 16, 0, -4, 0, 56, 0, -4, 0, 0, 0, 8, 0, 64, 0, 24, 0, -48, 0, 0, 0, 0, 0, -96, 0, 22, 0, 4, 0, 0, 0, 28, 0, 0, 0, -28, 0, -4, 0, 0, 0, -16, 0, -44, 0, 8, 0, -8, 0, 0, 0, 0, 0, -52, 0, 12, 0, -4, 0, 0, 0, -48, 0, 28, 0, -28, 0, 28, 0, 0, 0, 28, 0, 90, 0, -12, 0, -36, 0, 0, 0, -12, 0, 16, 0, 36, 0, -16, 0, 0, 0, -40, 0, 0, 0, -56, 0, -16, 0, 0, 0, -16, 0, 20, 0, -16, 0, 68, 0, 0, 0, -12, 0, -100, 0, -28, 0, -12, 0, 0, 0, 8, 0, 32, 0, 40, 0, -4, 0, 0, 0, -52, 0, -32, 0, 24, 0, 16, 0, 0, 0, 32, 0, -32, 0, 96, 0, 0, 0, 0, 0, 4, 0, 8, 0, 132, 0, 40, 0, 0, 0, 24, 0, 196, 0, 24, 0, 48, 0, 0, 0, 12, 0, 16, 0, 80, 0, 24, 0, 0, 0, 28, 0, 0, 0, 8, 0, 72, 0, 0, 0, 28, 0, 170, 0, 16, 0, 20, 0, 0, 0, 8, 0, 104, 0, -4, 0, 20, 0, 0, 0, 52, 0, 40, 0, -16, 0, -76, 0, 0, 0, 40, 0, -32, 0, -36, 0, 88, 0, 0, 0, 48, 0, -8, 0, 112, 0, 0, 0, 0, 0, 44, 0, -84, 0, -4, 0, 164, 0, 0, 0, -20, 0, -108, 0, 0, 0, 16, 0, 0, 0, -16, 0, -88, 0, 106, 0, 32, 0, 0, 0, 24, 0, 16, 0, 152, 0, 56, 0, 0, 0, -16, 0, 24, 0, 24, 0, 8, 0, 0, 0, 4, 0, 128, 0, -168, 0, -32, 0, 0, 0, -56, 0, 8, 0, 32, 0, 12, 0, 0, 0, 48, 0, 40, 0, -20, 0, 92, 0, 0, 0, 24, 0, 104, 0, 80, 0, -12, 0, 0, 0, 32, 0, -88, 0, 52, 0, 52, 0, 0, 0, 60, 0, -92, 0, 90, 0, 128, 0, 0, 0, -32, 0, 8, 0, -100, 0, 16, 0, 0, 0, -32, 0, 4, 0, -132, 0, -40, 0, 0, 0, -72, 0, 64, 0, -8, 0, 40, 0, 0, 0, -20, 0, 168, 0, 56, 0, -56, 0, 0, 0, 28, 0, -32, 0, -12, 0, -88, 0, 0, 0, 20, 0, -136, 0, -104, 0, -8, 0, 0, 0, 32, 0, 8, 0, 60, 0, 8, 0, 0, 0, -32, 0, -8, 0, 28, 0, -36, 0, 0, 0, -12, 0, 30, 0, 0, 0, -164, 0, 0, 0, -32, 0, 176, 0, 56, 0, 8, 0, 0, 0, 76, 0, 52, 0, 100, 0, 160, 0, 0, 0, 24, 0, -48, 0, 96, 0, 96, 0, 0, 0, 4, 0, 20, 0, -148, 0, 12, 0, 0, 0, 36, 0, 40, 0, 88, 0, 72, 0, 0, 0, -32, 0, -16, 0, -148, 0, 48, 0, 0, 0, 48, 0, 32, 0, -40, 0, -24, 0, 0, 0, 136, 0, -16, 0, 136, 0, -76, 0, 0, 0, 12, 0, 144, 0, 8, 0, -136, 0, 0, 0, -56, 0, 208, 0, 192, 0, 96, 0, 0, 0, 20, 0, -16, 0, 260, 0, -72, 0, 0, 0, 140, 0, -52, 0, -8, 0, 92, 0, 0, 0, -24, 0, -8, 0, 40, 0, 16, 0, 0, 0, -144, 0, -32, 0, 256, 0, -120, 0, 0, 0, -112, 0, -164, 0, 16, 0, 40, 0, 0, 0, 16, 0, 136, 0, 44, 0, -36, 0, 0, 0, -48, 0, -140, 0, 72, 0, -4, 0, 0, 0, 60, 0, 68, 0, -8, 0, 20, 0, 0, 0, -32, 0, -120, 0, 68, 0, -16, 0, 0, 0, 12, 0, 94, 0, 400, 0, -104, 0, 0, 0, -80, 0, -84, 0, 8, 0, -12, 0, 0, 0, 0, 0, 100, 0, 20, 0, -16, 0, 0, 0, -96, 0, 0, 0, -272, 0, -124, 0, 0, 0, 220, 0, 192, 0, -52, 0, -104, 0, 0, 0, -24, 0, 28, 0, 4, 0, -4, 0, 0, 0, 32, 0, -96, 0, 92, 0, -144, 0, 0, 0, 76, 0, -56, 0, 20, 0, -208, 0, 0, 0, -28, 0, 8, 0, -40, 0, 40, 0, 0, 0, 76, 0, -4, 0, -108, 0, 88, 0, 0, 0, 28, 0, 188, 0, -24, 0, -44, 0, 0, 0, 2, 0, 20, 0, 154, 0, -44, 0, 0, 0, 44, 0, 96, 0, 0, 0, 52, 0, 0, 0, 84, 0, 4, 0, 188, 0, 128, 0, 0, 0, -16, 0, -64, 0, 104, 0, 16, 0, 0, 0, 32, 0, -24, 0, 76, 0, 96, 0, 0, 0, 32, 0, 92, 0, -4, 0, 96, 0, 0, 0, 104, 0, 24, 0, -184, 0, 88, 0, 0, 0, -140, 0, 56, 0, -116, 0, -16, 0, 0, 0, -88, 0, -120, 0, 40, 0, -52, 0, 0, 0, -4, 0, 40, 0, -200, 0, -92, 0, 0, 0, -60, 0, -80, 0, 108, 0, 76, 0, 0, 0, -244, 0, 248, 0, -36, 0, -172, 0, 0, 0, -112, 0, 284, 0, 94, 0, 8, 0, 0, 0, -36, 0, -16, 0, -212, 0, 228, 0, 0, 0, 120, 0, -32, 0, 64, 0, -180, 0, 0, 0, -96, 0, 16, 0, 48, 0, 96, 0, 0, 0, 40, 0, 24, 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: 48508725
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 103582791463085140, 'source_is_minimal': False, 'source_label': '9300.2.a.x.1.4', 'source_level': 9300, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 103582791463085140, 'target_is_minimal': False, 'target_label': '9300.2.a.x.1.4', 'target_level': 9300, 'twist_class_label': '1860.2.a.i.1.1', 'twist_class_level': 1860, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48508726
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 103582791463085140, 'source_is_minimal': False, 'source_label': '9300.2.a.x.1.4', 'source_level': 9300, 'target_conrey_index': 3349, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 81065205643093076, 'target_is_minimal': False, 'target_label': '9300.2.g.s.3349.4', 'target_level': 9300, 'twist_class_label': '1860.2.a.i.1.1', 'twist_class_level': 1860, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48508727
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 103582791463085140, 'source_is_minimal': False, 'source_label': '9300.2.a.x.1.4', 'source_level': 9300, 'target_conrey_index': 3349, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 81065205643093076, 'target_is_minimal': False, 'target_label': '9300.2.g.s.3349.5', 'target_level': 9300, 'twist_class_label': '1860.2.a.i.1.1', 'twist_class_level': 1860, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48508728
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 103582791463085140, 'source_is_minimal': False, 'source_label': '9300.2.a.x.1.4', 'source_level': 9300, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797052520260, 'target_is_minimal': True, 'target_label': '1860.2.a.i.1.1', 'target_level': 1860, 'twist_class_label': '1860.2.a.i.1.1', 'twist_class_level': 1860, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 48508729
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 103582791463085140, 'source_is_minimal': False, 'source_label': '9300.2.a.x.1.4', 'source_level': 9300, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043195562005964, 'target_is_minimal': False, 'target_label': '5580.2.a.m.1.1', 'target_level': 5580, 'twist_class_label': '1860.2.a.i.1.1', 'twist_class_level': 1860, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 48508730
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 103582791463085140, 'source_is_minimal': False, 'source_label': '9300.2.a.x.1.4', 'source_level': 9300, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 238690780284198160, 'target_is_minimal': False, 'target_label': '7440.2.a.cb.1.4', 'target_level': 7440, 'twist_class_label': '1860.2.a.i.1.1', 'twist_class_level': 1860, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4991475
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 103582791463085140, 'p': 2}
  • id: 4991476
    {'charpoly_factorization': [[[-1, 1], 4]], 'hecke_orbit_code': 103582791463085140, 'p': 3}
  • id: 4991477
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 103582791463085140, 'p': 5}
  • id: 4991478
    {'charpoly_factorization': [[[116, 54, -20, -4, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 7}
  • id: 4991479
    {'charpoly_factorization': [[[224, 72, -44, -2, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 11}
  • id: 4991480
    {'charpoly_factorization': [[[88, -82, -36, 2, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 13}
  • id: 4991481
    {'charpoly_factorization': [[[96, -108, -40, 2, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 17}
  • id: 4991482
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 103582791463085140, 'p': 19}
  • id: 4991483
    {'charpoly_factorization': [[[96, 108, -40, -2, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 23}
  • id: 4991484
    {'charpoly_factorization': [[[-1844, 214, 98, -20, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 29}
  • id: 4991485
    {'charpoly_factorization': [[[-1, 1], 4]], 'hecke_orbit_code': 103582791463085140, 'p': 31}
  • id: 4991486
    {'charpoly_factorization': [[[128, -42, -20, 4, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 37}
  • id: 4991487
    {'charpoly_factorization': [[[192, 96, -32, -6, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 41}
  • id: 4991488
    {'charpoly_factorization': [[[224, 72, -44, -2, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 43}
  • id: 4991489
    {'charpoly_factorization': [[[72, -12, -112, 2, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 47}
  • id: 4991490
    {'charpoly_factorization': [[[-352, 428, -100, -6, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 53}
  • id: 4991491
    {'charpoly_factorization': [[[21816, 54, -302, 0, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 59}
  • id: 4991492
    {'charpoly_factorization': [[[-1008, 960, -152, -8, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 61}
  • id: 4991493
    {'charpoly_factorization': [[[2916, -378, -116, 10, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 67}
  • id: 4991494
    {'charpoly_factorization': [[[144, 126, -50, -2, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 71}
  • id: 4991495
    {'charpoly_factorization': [[[2456, -870, -44, 16, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 73}
  • id: 4991496
    {'charpoly_factorization': [[[-8064, 1644, 16, -20, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 79}
  • id: 4991497
    {'charpoly_factorization': [[[16, 52, 32, -14, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 83}
  • id: 4991498
    {'charpoly_factorization': [[[-684, -354, 202, -26, 1], 1]], 'hecke_orbit_code': 103582791463085140, 'p': 89}
  • id: 4991499
    {'charpoly_factorization': [[[-16128, -4224, -224, 14, 1], 1]], 'hecke_orbit_code': 103582791463085140, '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': 24, 'label': '9300.2.a.x', 'level': 9300, '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: 66176203
    {'hecke_orbit_code': 103582791463085140, 'n': 1, 'trace_an': 4}
  • id: 66176204
    {'hecke_orbit_code': 103582791463085140, 'n': 2, 'trace_an': 0}
  • id: 66176205
    {'hecke_orbit_code': 103582791463085140, 'n': 3, 'trace_an': 4}
  • id: 66176206
    {'hecke_orbit_code': 103582791463085140, 'n': 4, 'trace_an': 0}
  • id: 66176207
    {'hecke_orbit_code': 103582791463085140, 'n': 5, 'trace_an': 0}
  • id: 66176208
    {'hecke_orbit_code': 103582791463085140, 'n': 6, 'trace_an': 0}
  • id: 66176209
    {'hecke_orbit_code': 103582791463085140, 'n': 7, 'trace_an': 4}
  • id: 66176210
    {'hecke_orbit_code': 103582791463085140, 'n': 8, 'trace_an': 0}
  • id: 66176211
    {'hecke_orbit_code': 103582791463085140, 'n': 9, 'trace_an': 4}
  • id: 66176212
    {'hecke_orbit_code': 103582791463085140, 'n': 10, 'trace_an': 0}
  • id: 66176213
    {'hecke_orbit_code': 103582791463085140, 'n': 11, 'trace_an': 2}
  • id: 66176214
    {'hecke_orbit_code': 103582791463085140, 'n': 12, 'trace_an': 0}
  • id: 66176215
    {'hecke_orbit_code': 103582791463085140, 'n': 13, 'trace_an': -2}
  • id: 66176216
    {'hecke_orbit_code': 103582791463085140, 'n': 14, 'trace_an': 0}
  • id: 66176217
    {'hecke_orbit_code': 103582791463085140, 'n': 15, 'trace_an': 0}
  • id: 66176218
    {'hecke_orbit_code': 103582791463085140, 'n': 16, 'trace_an': 0}
  • id: 66176219
    {'hecke_orbit_code': 103582791463085140, 'n': 17, 'trace_an': -2}
  • id: 66176220
    {'hecke_orbit_code': 103582791463085140, 'n': 18, 'trace_an': 0}
  • id: 66176221
    {'hecke_orbit_code': 103582791463085140, 'n': 19, 'trace_an': 0}
  • id: 66176222
    {'hecke_orbit_code': 103582791463085140, 'n': 20, 'trace_an': 0}
  • id: 66176223
    {'hecke_orbit_code': 103582791463085140, 'n': 21, 'trace_an': 4}
  • id: 66176224
    {'hecke_orbit_code': 103582791463085140, 'n': 22, 'trace_an': 0}
  • id: 66176225
    {'hecke_orbit_code': 103582791463085140, 'n': 23, 'trace_an': 2}
  • id: 66176226
    {'hecke_orbit_code': 103582791463085140, 'n': 24, 'trace_an': 0}
  • id: 66176227
    {'hecke_orbit_code': 103582791463085140, 'n': 25, 'trace_an': 0}
  • id: 66176228
    {'hecke_orbit_code': 103582791463085140, 'n': 26, 'trace_an': 0}
  • id: 66176229
    {'hecke_orbit_code': 103582791463085140, 'n': 27, 'trace_an': 4}
  • id: 66176230
    {'hecke_orbit_code': 103582791463085140, 'n': 28, 'trace_an': 0}
  • id: 66176231
    {'hecke_orbit_code': 103582791463085140, 'n': 29, 'trace_an': 20}
  • id: 66176232
    {'hecke_orbit_code': 103582791463085140, 'n': 30, 'trace_an': 0}
  • id: 66176233
    {'hecke_orbit_code': 103582791463085140, 'n': 31, 'trace_an': 4}
  • id: 66176234
    {'hecke_orbit_code': 103582791463085140, 'n': 32, 'trace_an': 0}
  • id: 66176235
    {'hecke_orbit_code': 103582791463085140, 'n': 33, 'trace_an': 2}
  • id: 66176236
    {'hecke_orbit_code': 103582791463085140, 'n': 34, 'trace_an': 0}
  • id: 66176237
    {'hecke_orbit_code': 103582791463085140, 'n': 35, 'trace_an': 0}
  • id: 66176238
    {'hecke_orbit_code': 103582791463085140, 'n': 36, 'trace_an': 0}
  • id: 66176239
    {'hecke_orbit_code': 103582791463085140, 'n': 37, 'trace_an': -4}
  • id: 66176240
    {'hecke_orbit_code': 103582791463085140, 'n': 38, 'trace_an': 0}
  • id: 66176241
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  • id: 66176242
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  • id: 66176245
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  • id: 66176246
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  • id: 66176247
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  • id: 66176248
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  • id: 66176249
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  • id: 66176250
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  • id: 66176251
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  • id: 66176252
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  • id: 66176253
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  • id: 66176254
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  • id: 66176255
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  • id: 66176256
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  • id: 66176257
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  • id: 66176258
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  • id: 66176259
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  • id: 66176260
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  • id: 66176261
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  • id: 66176262
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  • id: 66176263
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  • id: 66176264
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  • id: 66176265
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  • id: 66176266
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  • id: 66176267
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  • id: 66176268
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  • id: 66176270
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  • id: 66176271
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  • id: 66176273
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  • id: 66176280
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  • id: 66176300
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  • id: 66176308
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  • id: 66176310
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  • id: 66176311
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  • id: 66176312
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  • id: 66176313
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  • id: 66176314
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  • id: 66176315
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  • id: 66176316
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  • id: 66176317
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  • id: 66176318
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  • id: 66176319
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  • id: 66176320
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  • id: 66176321
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  • id: 66176322
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  • id: 66176323
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  • id: 66176324
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  • id: 66176325
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  • id: 66176326
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  • id: 66176327
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  • id: 66176328
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  • id: 66176329
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  • id: 66176330
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  • id: 66176331
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  • id: 66176332
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  • id: 66176333
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  • id: 66176334
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  • id: 66176335
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  • id: 66176336
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  • id: 66176337
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  • id: 66176338
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  • id: 66176339
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  • id: 66176340
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  • id: 66176341
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  • id: 66176342
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  • id: 66176343
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  • id: 66176344
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  • id: 66176345
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  • id: 66176346
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  • id: 66176347
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  • id: 66176348
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  • id: 66176349
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  • id: 66176350
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  • id: 66176351
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  • id: 66176352
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  • id: 66176353
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  • id: 66176354
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  • id: 66176355
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  • id: 66176356
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  • id: 66176357
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  • id: 66176358
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  • id: 66176359
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  • id: 66176360
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  • id: 66176361
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  • id: 66176362
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  • id: 66176363
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  • id: 66176364
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  • id: 66176365
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  • id: 66176366
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  • id: 66176367
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  • id: 66176368
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  • id: 66176369
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  • id: 66176370
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  • id: 66176371
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  • id: 66176372
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  • id: 66176373
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  • id: 66176374
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  • id: 66176375
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  • id: 66176376
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  • id: 66176377
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  • id: 66176378
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  • id: 66176379
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  • id: 66176380
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  • id: 66176381
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  • id: 66176382
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  • id: 66176383
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  • id: 66176384
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  • id: 66176385
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  • id: 66176386
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  • id: 66176387
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  • id: 66176388
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  • id: 66176389
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  • id: 66176390
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  • id: 66176391
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  • id: 66176392
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  • id: 66176393
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  • id: 66176394
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  • id: 66176395
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  • id: 66176396
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  • id: 66176397
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  • id: 66176398
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  • id: 66176399
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  • id: 66176400
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  • id: 66176401
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  • id: 66176402
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  • id: 66176403
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  • id: 66176404
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  • id: 66176405
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  • id: 66176406
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  • id: 66176407
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  • id: 66176408
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  • id: 66176409
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  • id: 66176410
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  • id: 66176411
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  • id: 66176412
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  • id: 66176413
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  • id: 66176414
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  • id: 66176415
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  • id: 66176416
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  • id: 66176417
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  • id: 66176418
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  • id: 66176419
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  • id: 66176420
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  • id: 66176421
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  • id: 66176422
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  • id: 66176423
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  • id: 66176424
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  • id: 66176425
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  • id: 66176426
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  • id: 66176427
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  • id: 66176428
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  • id: 66176429
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  • id: 66176430
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  • id: 66176431
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  • id: 66176432
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  • id: 66176433
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  • id: 66176434
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  • id: 66176435
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  • id: 66176436
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  • id: 66176437
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  • id: 66176438
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  • id: 66176439
    {'hecke_orbit_code': 103582791463085140, 'n': 857, 'trace_an': 12}
  • id: 66176440
    {'hecke_orbit_code': 103582791463085140, 'n': 859, 'trace_an': 72}
  • id: 66176441
    {'hecke_orbit_code': 103582791463085140, 'n': 863, 'trace_an': -60}
  • id: 66176442
    {'hecke_orbit_code': 103582791463085140, 'n': 877, 'trace_an': 22}
  • id: 66176443
    {'hecke_orbit_code': 103582791463085140, 'n': 881, 'trace_an': 54}
  • id: 66176444
    {'hecke_orbit_code': 103582791463085140, 'n': 883, 'trace_an': -10}
  • id: 66176445
    {'hecke_orbit_code': 103582791463085140, 'n': 887, 'trace_an': 18}
  • id: 66176446
    {'hecke_orbit_code': 103582791463085140, 'n': 907, 'trace_an': -32}
  • id: 66176447
    {'hecke_orbit_code': 103582791463085140, 'n': 911, 'trace_an': -58}
  • id: 66176448
    {'hecke_orbit_code': 103582791463085140, 'n': 919, 'trace_an': -4}
  • id: 66176449
    {'hecke_orbit_code': 103582791463085140, 'n': 929, 'trace_an': -8}
  • id: 66176450
    {'hecke_orbit_code': 103582791463085140, 'n': 937, 'trace_an': 126}
  • id: 66176451
    {'hecke_orbit_code': 103582791463085140, 'n': 941, 'trace_an': -6}
  • id: 66176452
    {'hecke_orbit_code': 103582791463085140, 'n': 947, 'trace_an': -90}
  • id: 66176453
    {'hecke_orbit_code': 103582791463085140, 'n': 953, 'trace_an': -74}
  • id: 66176454
    {'hecke_orbit_code': 103582791463085140, 'n': 961, 'trace_an': 4}
  • id: 66176455
    {'hecke_orbit_code': 103582791463085140, 'n': 967, 'trace_an': 10}
  • id: 66176456
    {'hecke_orbit_code': 103582791463085140, 'n': 971, 'trace_an': 18}
  • id: 66176457
    {'hecke_orbit_code': 103582791463085140, 'n': 977, 'trace_an': 40}
  • id: 66176458
    {'hecke_orbit_code': 103582791463085140, 'n': 983, 'trace_an': 32}
  • id: 66176459
    {'hecke_orbit_code': 103582791463085140, 'n': 991, 'trace_an': -60}
  • id: 66176460
    {'hecke_orbit_code': 103582791463085140, 'n': 997, 'trace_an': 116}