Embedded newform data - 3800.2.a.w.1.3

Formats: - HTML - YAML - JSON - 2025-03-07T03:08:55.037621

• 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': 15200, 'analytic_conductor': 30.343152768086547, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [5, 1], [19, -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': [3800, 1, [951, 1901, 1977, 401], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 316, 'field_disc_factorization': [[2, 2], [79, 1]], 'field_poly': [2, -4, -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': [[3, [2, -4, -1, 1]], [7, [-16, -16, -1, 1]]], 'hecke_orbit': 23, 'hecke_orbit_code': 99079191835709144, 'hecke_ring_generator_nbound': 3, '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': '3800.2.a.w', 'level': 3800, '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, 5, 19], 'level_radical': 190, 'minimal_twist': '760.2.a.i', 'nf_label': '3.3.316.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{3}+(1-2\\beta _{1}+\\beta _{2})q^{7}+\\beta _{2}q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3800.2.a', 'trace_display': [0, 1, 0, 1], 'trace_hash': 1556362353699110516, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.016', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.861', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '22.360', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '276.008', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.009', 'prec': 17}, 'traces': [3, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 11, 0, 0, 0, 3, 0, 3, 0, -13, 0, 9, 0, 0, 0, 1, 0, -7, 0, 6, 0, 8, 0, 0, 0, 20, 0, 3, 0, -22, 0, 10, 0, 0, 0, 0, 0, 12, 0, -3, 0, 7, 0, 0, 0, 1, 0, 11, 0, -16, 0, 6, 0, 0, 0, 1, 0, -1, 0, 0, 0, 5, 0, 0, 0, 12, 0, 26, 0, -13, 0, 14, 0, 0, 0, -33, 0, -6, 0, 29, 0, -6, 0, 0, 0, -8, 0, 28, 0, -4, 0, -6, 0, 0, 0, 7, 0, 3, 0, 2, 0, 10, 0, 0, 0, 24, 0, -5, 0, 23, 0, 18, 0, 0, 0, -12, 0, 30, 0, -24, 0, 1, 0, 0, 0, -17, 0, 12, 0, 16, 0, 48, 0, 0, 0, -44, 0, 8, 0, 18, 0, -14, 0, 0, 0, 50, 0, 55, 0, -3, 0, -14, 0, 0, 0, 28, 0, 50, 0, 0, 0, -16, 0, 0, 0, -43, 0, 20, 0, -26, 0, 20, 0, 0, 0, -28, 0, 33, 0, -3, 0, 12, 0, 0, 0, -14, 0, 13, 0, -7, 0, 57, 0, 0, 0, -14, 0, 0, 0, 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0, -124, 0, 50, 0, 0, 0, -80, 0, -180, 0, 114, 0, -246, 0, 0, 0, -136, 0, -55, 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

  
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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': [9, 12, 11, 11, 13, 7, 8, 14], 'Nk2': 15200, 'analytic_conductor': 30.343152768086547, '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': [3800, 1, [951, 1901, 1977, 401], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 577, 'dim': 85, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 33558232, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 6, 6, 6, 6, 6, 6], 'label': '3800.2.a', 'level': 3800, '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, 5, 19], 'level_radical': 190, 'mf_dim': 624, 'mf_new_dim': 85, 'num_forms': 31, 'plus_dim': 35, 'prim_orbit_index': 1, 'relative_dim': 85, 'sturm_bound': 1200, 'trace_bound': 13, 'trace_display': [0, 0, 0, -4], 'traces': [85, 0, 0, 0, 0, 0, -4, 0, 79, 0, 6, 0, -2, 0, 0, 0, 6, 0, 3, 0, 16, 0, 6, 0, 0, 0, 0, 0, 30, 0, -12, 0, 20, 0, 0, 0, 14, 0, 22, 0, 14, 0, 2, 0, 0, 0, 6, 0, 81, 0, 20, 0, 14, 0, 0, 0, 2, 0, -8, 0, 16, 0, 6, 0, 0, 0, -4, 0, -4, 0, 40, 0, 18, 0, 0, 0, -14, 0, -36, 0, 101, 0, -20, 0, 0, 0, -18, 0, 30, 0, 0, 0, 12, 0, 0, 0, -6, 0, -14, 0, -50, 0, 28, 0, 0, 0, -24, 0, -46, 0, 28, 0, 46, 0, 0, 0, -46, 0, 12, 0, 111, 0, -32, 0, 0, 0, -8, 0, 136, 0, 42, 0, 2, 0, 0, 0, -18, 0, -2, 0, 124, 0, 32, 0, 0, 0, 12, 0, -76, 0, 92, 0, 28, 0, 0, 0, 50, 0, 30, 0, 42, 0, 60, 0, 0, 0, 84, 0, 137, 0, 15, 0, 14, 0, 0, 0, -30, 0, 48, 0, -30, 0, 0, 0, 0, 0, -14, 0, 116, 0, 4, 0, 22, 0, 0, 0, 2, 0, 132, 0, 26, 0, -4, 0, 0, 0, 48, 0, -10, 0, 32, 0, 8, 0, 0, 0, 60, 0, -20, 0, 24, 0, -60, 0, 0, 0, -36, 0, 100, 0, 188, 0, -24, 0, 0, 0, 0, 0, 60, 0, 158, 0, -40, 0, 0, 0, 0, 0, -64, 0, 14, 0, 68, 0, 0, 0, -38, 0, 68, 0, 106, 0, -18, 0, 0, 0, 84, 0, 86, 0, 62, 0, 30, 0, 0, 0, 48, 0, -280, 0, -26, 0, -14, 0, 0, 0, -12, 0, 219, 0, -208, 0, -74, 0, 0, 0, 88, 0, -56, 0, -6, 0, -64, 0, 0, 0, 76, 0, -100, 0, -168, 0, 72, 0, 0, 0, -62, 0, -12, 0, 38, 0, -12, 0, 0, 0, 98, 0, -38, 0, 4, 0, -18, 0, 0, 0, -30, 0, -184, 0, -48, 0, 40, 0, 0, 0, -102, 0, 132, 0, 146, 0, -80, 0, 0, 0, -160, 0, -72, 0, 85, 0, -52, 0, 0, 0, -20, 0, 14, 0, -16, 0, -26, 0, 0, 0, 78, 0, 64, 0, 8, 0, -104, 0, 0, 0, 22, 0, -116, 0, -18, 0, -24, 0, 0, 0, -40, 0, 6, 0, -78, 0, 28, 0, 0, 0, -68, 0, -90, 0, -164, 0, 104, 0, 0, 0, 16, 0, -248, 0, 58, 0, 78, 0, 0, 0, 18, 0, 44, 0, -60, 0, 82, 0, 0, 0, 16, 0, 164, 0, 221, 0, -50, 0, 0, 0, -100, 0, -54, 0, 12, 0, 28, 0, 0, 0, -34, 0, -112, 0, 84, 0, -10, 0, 0, 0, -134, 0, 84, 0, -204, 0, -50, 0, 0, 0, -6, 0, -236, 0, -40, 0, 72, 0, 0, 0, -100, 0, 188, 0, -124, 0, 12, 0, 0, 0, -112, 0, 146, 0, -304, 0, -114, 0, 0, 0, 168, 0, -98, 0, -56, 0, -10, 0, 0, 0, -70, 0, 132, 0, 66, 0, -56, 0, 0, 0, 44, 0, 19, 0, -256, 0, 20, 0, 0, 0, 200, 0, -104, 0, -92, 0, 28, 0, 0, 0, 116, 0, -40, 0, -4, 0, -20, 0, 0, 0, 8, 0, 52, 0, -4, 0, 192, 0, 0, 0, -172, 0, 58, 0, 156, 0, 168, 0, 0, 0, -62, 0, -20, 0, -140, 0, 80, 0, 0, 0, -22, 0, -20, 0, 72, 0, 10, 0, 0, 0, 16, 0, -120, 0, -190, 0, -76, 0, 0, 0, 4, 0, -210, 0, -104, 0, -120, 0, 0, 0, 60, 0, -52, 0, -44, 0, -124, 0, 0, 0, -32, 0, 72, 0, -14, 0, -30, 0, 0, 0, -14, 0, 132, 0, 18, 0, -10, 0, 0, 0, -52, 0, -92, 0, 164, 0, 64, 0, 0, 0, 212, 0, 64, 0, -46, 0, -30, 0, 0, 0, 48, 0, -132, 0, -222, 0, -110, 0, 0, 0, 154, 0, 132, 0, -142, 0, 44, 0, 0, 0, 272, 0, -178, 0, 30, 0, 118, 0, 0, 0, -128, 0, -28, 0, 58, 0, 18, 0, 0, 0, 88, 0, 130, 0, -208, 0, -76, 0, 0, 0, -104, 0, 20, 0, -268, 0, -224, 0, 0, 0, -96, 0, 61, 0, 58, 0, -122, 0, 0, 0, -176, 0, 10, 0, -12, 0, 116, 0, 0, 0, 96, 0, -8, 0, 48, 0, -144, 0, 0, 0, 64, 0, -160, 0, -54, 0, -120, 0, 0, 0, 102, 0, -126, 0, 84, 0, -30, 0, 0, 0, -148, 0, 38, 0, -92, 0, -86, 0, 0, 0, -92, 0, -340, 0, -88, 0, 0, 0, 0, 0, -122, 0, 34, 0, 98, 0, 18, 0, 0, 0, -60, 0, -86, 0, -44, 0, 140, 0, 0, 0, 30, 0, 120, 0, 72, 0, 88, 0, 0, 0, 92, 0, -78, 0, 232, 0, 26, 0, 0, 0, -92, 0, -240, 0, 113, 0, -64, 0, 0, 0, -118, 0, 148, 0, -160, 0, 126, 0, 0, 0, 74, 0, -122, 0, -376, 0, 152, 0, 0, 0, -300, 0, 96, 0, 166, 0, -34, 0, 0, 0, -158, 0, -222, 0, -104, 0, -26, 0, 0, 0, 32, 0, 24, 0, -394, 0, 2, 0, 0, 0, -130, 0, 12, 0, -176, 0, 224, 0, 0, 0, 188, 0, -262, 0, -384, 0, -48, 0, 0, 0, 158, 0, 106, 0, -24, 0, 136, 0, 0, 0, 340, 0, -28, 0, 5, 0, -16, 0, 0, 0, 114, 0, -160, 0, -266, 0, -104, 0, 0, 0, -172, 0, -192, 0, -242, 0, 30, 0, 0, 0, -188, 0, -48, 0, -3, 0, -72, 0, 0, 0, 172, 0, -30, 0, -60, 0, -62, 0, 0, 0, 202, 0, 64, 0, -298, 0, -116, 0, 0, 0, -132, 0, -84, 0, 256, 0, -114, 0, 0, 0, 16, 0, 248, 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: 48432347
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 99079191835709144, 'source_is_minimal': False, 'source_label': '3800.2.a.w.1.3', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 99079191835709144, 'target_is_minimal': False, 'target_label': '3800.2.a.w.1.3', 'target_level': 3800, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48432348
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 99079191835709144, 'source_is_minimal': False, 'source_label': '3800.2.a.w.1.3', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 184647584755752368, 'target_is_minimal': False, 'target_label': '7600.2.a.bp.1.1', 'target_level': 7600, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48432349
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 99079191835709144, 'source_is_minimal': False, 'source_label': '3800.2.a.w.1.3', 'source_level': 3800, 'target_conrey_index': 3649, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58547001347804888, 'target_is_minimal': False, 'target_label': '3800.2.d.n.3649.1', 'target_level': 3800, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48432350
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 99079191835709144, 'source_is_minimal': False, 'source_label': '3800.2.a.w.1.3', 'source_level': 3800, 'target_conrey_index': 3649, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 58547001347804888, 'target_is_minimal': False, 'target_label': '3800.2.d.n.3649.6', 'target_level': 3800, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48432351
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 99079191835709144, 'source_is_minimal': False, 'source_label': '3800.2.a.w.1.3', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797052519160, 'target_is_minimal': True, 'target_label': '760.2.a.i.1.1', 'target_level': 760, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 48432352
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 99079191835709144, 'source_is_minimal': False, 'source_label': '3800.2.a.w.1.3', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 171136785873640120, 'target_is_minimal': False, 'target_label': '6840.2.a.bm.1.2', 'target_level': 6840, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 48432353
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 99079191835709144, 'source_is_minimal': False, 'source_label': '3800.2.a.w.1.3', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 72057594071483888, 'target_is_minimal': False, 'target_label': '1520.2.a.q.1.3', 'target_level': 1520, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 48432354
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 99079191835709144, 'source_is_minimal': False, 'source_label': '3800.2.a.w.1.3', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 193654784010491840, 'target_is_minimal': False, 'target_label': '6080.2.a.br.1.1', 'target_level': 6080, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '40.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 48432355
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 99079191835709144, 'source_is_minimal': False, 'source_label': '3800.2.a.w.1.3', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 220676381774714816, 'target_is_minimal': False, 'target_label': '6080.2.a.bx.1.3', 'target_level': 6080, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '40.29', 'twisting_conrey_index': 29, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3369375
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 99079191835709144, 'p': 2}
  • id: 3369376
    {'charpoly_factorization': [[[2, -4, -1, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 3}
  • id: 3369377
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 99079191835709144, 'p': 5}
  • id: 3369378
    {'charpoly_factorization': [[[-16, -16, -1, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 7}
  • id: 3369379
    {'charpoly_factorization': [[[16, -28, 0, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 11}
  • id: 3369380
    {'charpoly_factorization': [[[86, 16, -11, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 13}
  • id: 3369381
    {'charpoly_factorization': [[[4, -4, -3, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 17}
  • id: 3369382
    {'charpoly_factorization': [[[-1, 1], 3]], 'hecke_orbit_code': 99079191835709144, 'p': 19}
  • id: 3369383
    {'charpoly_factorization': [[[-8, 20, -9, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 23}
  • id: 3369384
    {'charpoly_factorization': [[[-292, -44, 7, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 29}
  • id: 3369385
    {'charpoly_factorization': [[[32, -16, -6, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 31}
  • id: 3369386
    {'charpoly_factorization': [[[-244, 126, -20, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 37}
  • id: 3369387
    {'charpoly_factorization': [[[-232, 100, 22, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 41}
  • id: 3369388
    {'charpoly_factorization': [[[352, -32, -10, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 43}
  • id: 3369389
    {'charpoly_factorization': [[[128, -112, 0, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 47}
  • id: 3369390
    {'charpoly_factorization': [[[1342, -168, -7, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 53}
  • id: 3369391
    {'charpoly_factorization': [[[1544, -140, -11, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 59}
  • id: 3369392
    {'charpoly_factorization': [[[-352, 24, 16, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 61}
  • id: 3369393
    {'charpoly_factorization': [[[-262, -100, -1, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 67}
  • id: 3369394
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 99079191835709144, 'p': 71}
  • id: 3369395
    {'charpoly_factorization': [[[1228, -172, -5, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 73}
  • id: 3369396
    {'charpoly_factorization': [[[-496, 208, -26, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 79}
  • id: 3369397
    {'charpoly_factorization': [[[-16, 48, -14, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 83}
  • id: 3369398
    {'charpoly_factorization': [[[-1256, -252, 6, 1], 1]], 'hecke_orbit_code': 99079191835709144, 'p': 89}
  • id: 3369399
    {'charpoly_factorization': [[[-292, -58, 8, 1], 1]], 'hecke_orbit_code': 99079191835709144, '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': 23, 'label': '3800.2.a.w', 'level': 3800, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 65406589
    {'hecke_orbit_code': 99079191835709144, 'n': 1, 'trace_an': 3}
  • id: 65406590
    {'hecke_orbit_code': 99079191835709144, 'n': 2, 'trace_an': 0}
  • id: 65406591
    {'hecke_orbit_code': 99079191835709144, 'n': 3, 'trace_an': 1}
  • id: 65406592
    {'hecke_orbit_code': 99079191835709144, 'n': 4, 'trace_an': 0}
  • id: 65406593
    {'hecke_orbit_code': 99079191835709144, 'n': 5, 'trace_an': 0}
  • id: 65406594
    {'hecke_orbit_code': 99079191835709144, 'n': 6, 'trace_an': 0}
  • id: 65406595
    {'hecke_orbit_code': 99079191835709144, 'n': 7, 'trace_an': 1}
  • id: 65406596
    {'hecke_orbit_code': 99079191835709144, 'n': 8, 'trace_an': 0}
  • id: 65406597
    {'hecke_orbit_code': 99079191835709144, 'n': 9, 'trace_an': 0}
  • id: 65406598
    {'hecke_orbit_code': 99079191835709144, 'n': 10, 'trace_an': 0}
  • id: 65406599
    {'hecke_orbit_code': 99079191835709144, 'n': 11, 'trace_an': 0}
  • id: 65406600
    {'hecke_orbit_code': 99079191835709144, 'n': 12, 'trace_an': 0}
  • id: 65406601
    {'hecke_orbit_code': 99079191835709144, 'n': 13, 'trace_an': 11}
  • id: 65406602
    {'hecke_orbit_code': 99079191835709144, 'n': 14, 'trace_an': 0}
  • id: 65406603
    {'hecke_orbit_code': 99079191835709144, 'n': 15, 'trace_an': 0}
  • id: 65406604
    {'hecke_orbit_code': 99079191835709144, 'n': 16, 'trace_an': 0}
  • id: 65406605
    {'hecke_orbit_code': 99079191835709144, 'n': 17, 'trace_an': 3}
  • id: 65406606
    {'hecke_orbit_code': 99079191835709144, 'n': 18, 'trace_an': 0}
  • id: 65406607
    {'hecke_orbit_code': 99079191835709144, 'n': 19, 'trace_an': 3}
  • id: 65406608
    {'hecke_orbit_code': 99079191835709144, 'n': 20, 'trace_an': 0}
  • id: 65406609
    {'hecke_orbit_code': 99079191835709144, 'n': 21, 'trace_an': -13}
  • id: 65406610
    {'hecke_orbit_code': 99079191835709144, 'n': 22, 'trace_an': 0}
  • id: 65406611
    {'hecke_orbit_code': 99079191835709144, 'n': 23, 'trace_an': 9}
  • id: 65406612
    {'hecke_orbit_code': 99079191835709144, 'n': 24, 'trace_an': 0}
  • id: 65406613
    {'hecke_orbit_code': 99079191835709144, 'n': 25, 'trace_an': 0}
  • id: 65406614
    {'hecke_orbit_code': 99079191835709144, 'n': 26, 'trace_an': 0}
  • id: 65406615
    {'hecke_orbit_code': 99079191835709144, 'n': 27, 'trace_an': 1}
  • id: 65406616
    {'hecke_orbit_code': 99079191835709144, 'n': 28, 'trace_an': 0}
  • id: 65406617
    {'hecke_orbit_code': 99079191835709144, 'n': 29, 'trace_an': -7}
  • id: 65406618
    {'hecke_orbit_code': 99079191835709144, 'n': 30, 'trace_an': 0}
  • id: 65406619
    {'hecke_orbit_code': 99079191835709144, 'n': 31, 'trace_an': 6}
  • id: 65406620
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  • id: 65406621
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  • id: 65406622
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  • id: 65406623
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  • id: 65406624
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  • id: 65406625
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  • id: 65406626
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  • id: 65406627
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  • id: 65406628
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  • id: 65406629
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  • id: 65406630
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  • id: 65406631
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  • id: 65406632
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  • id: 65406633
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  • id: 65406634
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  • id: 65406635
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  • id: 65406636
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  • id: 65406637
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  • id: 65406638
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  • id: 65406639
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  • id: 65406640
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  • id: 65406641
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  • id: 65406642
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  • id: 65406643
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  • id: 65406644
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  • id: 65406645
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  • id: 65406646
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  • id: 65406647
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  • id: 65406648
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  • id: 65406649
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  • id: 65406650
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  • id: 65406651
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  • id: 65406652
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  • id: 65406653
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  • id: 65406654
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  • id: 65406655
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  • id: 65406656
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  • id: 65406657
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  • id: 65406658
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  • id: 65406659
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  • id: 65406660
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  • id: 65406661
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  • id: 65406662
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  • id: 65406663
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  • id: 65406664
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  • id: 65406665
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  • id: 65406666
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  • id: 65406667
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  • id: 65406668
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  • id: 65406669
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  • id: 65406670
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  • id: 65406671
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  • id: 65406672
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  • id: 65406673
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  • id: 65406674
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  • id: 65406675
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  • id: 65406676
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  • id: 65406678
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  • id: 65406679
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  • id: 65406680
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  • id: 65406681
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  • id: 65406682
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  • id: 65406683
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  • id: 65406684
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  • id: 65406685
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  • id: 65406686
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  • id: 65406687
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  • id: 65406688
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  • id: 65406689
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  • id: 65406690
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  • id: 65406691
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  • id: 65406692
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  • id: 65406693
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  • id: 65406694
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  • id: 65406695
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  • id: 65406696
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  • id: 65406697
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  • id: 65406698
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  • id: 65406699
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  • id: 65406700
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  • id: 65406701
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  • id: 65406702
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  • id: 65406703
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  • id: 65406704
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  • id: 65406705
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  • id: 65406706
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  • id: 65406707
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  • id: 65406708
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  • id: 65406709
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  • id: 65406710
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  • id: 65406711
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  • id: 65406712
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  • id: 65406713
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  • id: 65406714
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  • id: 65406715
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  • id: 65406716
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  • id: 65406717
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  • id: 65406718
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  • id: 65406719
    {'hecke_orbit_code': 99079191835709144, 'n': 239, 'trace_an': 33}
  • id: 65406720
    {'hecke_orbit_code': 99079191835709144, 'n': 241, 'trace_an': -12}
  • id: 65406721
    {'hecke_orbit_code': 99079191835709144, 'n': 243, 'trace_an': -6}
  • id: 65406722
    {'hecke_orbit_code': 99079191835709144, 'n': 251, 'trace_an': 12}
  • id: 65406723
    {'hecke_orbit_code': 99079191835709144, 'n': 256, 'trace_an': 0}
  • id: 65406724
    {'hecke_orbit_code': 99079191835709144, 'n': 257, 'trace_an': -12}
  • id: 65406725
    {'hecke_orbit_code': 99079191835709144, 'n': 263, 'trace_an': 28}
  • id: 65406726
    {'hecke_orbit_code': 99079191835709144, 'n': 269, 'trace_an': -42}
  • id: 65406727
    {'hecke_orbit_code': 99079191835709144, 'n': 271, 'trace_an': 5}
  • id: 65406728
    {'hecke_orbit_code': 99079191835709144, 'n': 277, 'trace_an': 16}
  • id: 65406729
    {'hecke_orbit_code': 99079191835709144, 'n': 281, 'trace_an': 6}
  • id: 65406730
    {'hecke_orbit_code': 99079191835709144, 'n': 283, 'trace_an': 30}
  • id: 65406731
    {'hecke_orbit_code': 99079191835709144, 'n': 289, 'trace_an': -34}
  • id: 65406732
    {'hecke_orbit_code': 99079191835709144, 'n': 293, 'trace_an': -11}
  • id: 65406733
    {'hecke_orbit_code': 99079191835709144, 'n': 307, 'trace_an': 38}
  • id: 65406734
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  • id: 65406735
    {'hecke_orbit_code': 99079191835709144, 'n': 313, 'trace_an': -11}
  • id: 65406736
    {'hecke_orbit_code': 99079191835709144, 'n': 317, 'trace_an': 1}
  • id: 65406737
    {'hecke_orbit_code': 99079191835709144, 'n': 331, 'trace_an': 69}
  • id: 65406738
    {'hecke_orbit_code': 99079191835709144, 'n': 337, 'trace_an': 4}
  • id: 65406739
    {'hecke_orbit_code': 99079191835709144, 'n': 343, 'trace_an': 83}
  • id: 65406740
    {'hecke_orbit_code': 99079191835709144, 'n': 347, 'trace_an': 34}
  • id: 65406741
    {'hecke_orbit_code': 99079191835709144, 'n': 349, 'trace_an': 26}
  • id: 65406742
    {'hecke_orbit_code': 99079191835709144, 'n': 353, 'trace_an': -31}
  • id: 65406743
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  • id: 65406744
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  • id: 65406745
    {'hecke_orbit_code': 99079191835709144, 'n': 367, 'trace_an': -24}
  • id: 65406746
    {'hecke_orbit_code': 99079191835709144, 'n': 373, 'trace_an': 1}
  • id: 65406747
    {'hecke_orbit_code': 99079191835709144, 'n': 379, 'trace_an': -25}
  • id: 65406748
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  • id: 65406749
    {'hecke_orbit_code': 99079191835709144, 'n': 389, 'trace_an': -8}
  • id: 65406750
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  • id: 65406751
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  • id: 65406752
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  • id: 65406753
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  • id: 65406754
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  • id: 65406755
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  • id: 65406756
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  • id: 65406757
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  • id: 65406758
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  • id: 65406759
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  • id: 65406760
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  • id: 65406761
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  • id: 65406762
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  • id: 65406763
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  • id: 65406764
    {'hecke_orbit_code': 99079191835709144, 'n': 479, 'trace_an': 20}
  • id: 65406765
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  • id: 65406766
    {'hecke_orbit_code': 99079191835709144, 'n': 491, 'trace_an': -14}
  • id: 65406767
    {'hecke_orbit_code': 99079191835709144, 'n': 499, 'trace_an': -58}
  • id: 65406768
    {'hecke_orbit_code': 99079191835709144, 'n': 503, 'trace_an': -11}
  • id: 65406769
    {'hecke_orbit_code': 99079191835709144, 'n': 509, 'trace_an': 2}
  • id: 65406770
    {'hecke_orbit_code': 99079191835709144, 'n': 512, 'trace_an': 0}
  • id: 65406771
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  • id: 65406772
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  • id: 65406773
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  • id: 65406774
    {'hecke_orbit_code': 99079191835709144, 'n': 541, 'trace_an': 28}
  • id: 65406775
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  • id: 65406776
    {'hecke_orbit_code': 99079191835709144, 'n': 557, 'trace_an': -36}
  • id: 65406777
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  • id: 65406778
    {'hecke_orbit_code': 99079191835709144, 'n': 569, 'trace_an': -36}
  • id: 65406779
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  • id: 65406780
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  • id: 65406781
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  • id: 65406782
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  • id: 65406783
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  • id: 65406784
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  • id: 65406785
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  • id: 65406786
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  • id: 65406787
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  • id: 65406788
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  • id: 65406789
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  • id: 65406790
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  • id: 65406791
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  • id: 65406792
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  • id: 65406793
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  • id: 65406794
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  • id: 65406795
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  • id: 65406796
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  • id: 65406797
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  • id: 65406798
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  • id: 65406799
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  • id: 65406800
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  • id: 65406801
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  • id: 65406802
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  • id: 65406803
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  • id: 65406804
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  • id: 65406805
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  • id: 65406806
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  • id: 65406807
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  • id: 65406808
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  • id: 65406809
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  • id: 65406810
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  • id: 65406811
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  • id: 65406812
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  • id: 65406813
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  • id: 65406814
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  • id: 65406815
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  • id: 65406816
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  • id: 65406817
    {'hecke_orbit_code': 99079191835709144, 'n': 811, 'trace_an': 5}
  • id: 65406818
    {'hecke_orbit_code': 99079191835709144, 'n': 821, 'trace_an': 72}
  • id: 65406819
    {'hecke_orbit_code': 99079191835709144, 'n': 823, 'trace_an': -25}
  • id: 65406820
    {'hecke_orbit_code': 99079191835709144, 'n': 827, 'trace_an': 93}
  • id: 65406821
    {'hecke_orbit_code': 99079191835709144, 'n': 829, 'trace_an': -93}
  • id: 65406822
    {'hecke_orbit_code': 99079191835709144, 'n': 839, 'trace_an': 8}
  • id: 65406823
    {'hecke_orbit_code': 99079191835709144, 'n': 841, 'trace_an': 50}
  • id: 65406824
    {'hecke_orbit_code': 99079191835709144, 'n': 853, 'trace_an': 10}
  • id: 65406825
    {'hecke_orbit_code': 99079191835709144, 'n': 857, 'trace_an': -70}
  • id: 65406826
    {'hecke_orbit_code': 99079191835709144, 'n': 859, 'trace_an': 4}
  • id: 65406827
    {'hecke_orbit_code': 99079191835709144, 'n': 863, 'trace_an': 14}
  • id: 65406828
    {'hecke_orbit_code': 99079191835709144, 'n': 877, 'trace_an': 105}
  • id: 65406829
    {'hecke_orbit_code': 99079191835709144, 'n': 881, 'trace_an': 22}
  • id: 65406830
    {'hecke_orbit_code': 99079191835709144, 'n': 883, 'trace_an': -22}
  • id: 65406831
    {'hecke_orbit_code': 99079191835709144, 'n': 887, 'trace_an': 86}
  • id: 65406832
    {'hecke_orbit_code': 99079191835709144, 'n': 907, 'trace_an': 3}
  • id: 65406833
    {'hecke_orbit_code': 99079191835709144, 'n': 911, 'trace_an': 0}
  • id: 65406834
    {'hecke_orbit_code': 99079191835709144, 'n': 919, 'trace_an': 23}
  • id: 65406835
    {'hecke_orbit_code': 99079191835709144, 'n': 929, 'trace_an': -103}
  • id: 65406836
    {'hecke_orbit_code': 99079191835709144, 'n': 937, 'trace_an': 89}
  • id: 65406837
    {'hecke_orbit_code': 99079191835709144, 'n': 941, 'trace_an': 5}
  • id: 65406838
    {'hecke_orbit_code': 99079191835709144, 'n': 947, 'trace_an': -116}
  • id: 65406839
    {'hecke_orbit_code': 99079191835709144, 'n': 953, 'trace_an': 98}
  • id: 65406840
    {'hecke_orbit_code': 99079191835709144, 'n': 961, 'trace_an': -25}
  • id: 65406841
    {'hecke_orbit_code': 99079191835709144, 'n': 967, 'trace_an': 56}
  • id: 65406842
    {'hecke_orbit_code': 99079191835709144, 'n': 971, 'trace_an': -44}
  • id: 65406843
    {'hecke_orbit_code': 99079191835709144, 'n': 977, 'trace_an': 12}
  • id: 65406844
    {'hecke_orbit_code': 99079191835709144, 'n': 983, 'trace_an': -68}
  • id: 65406845
    {'hecke_orbit_code': 99079191835709144, 'n': 991, 'trace_an': -6}
  • id: 65406846
    {'hecke_orbit_code': 99079191835709144, 'n': 997, 'trace_an': 2}