Embedded newform data - 4650.2.a.w.1.1

Formats: - HTML - YAML - JSON - 2025-04-23T01:32:19.703088

• 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': 18600, 'analytic_conductor': 37.130436939895375, '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': [4650, 1, [3101, 2977, 1801], [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': [[7, [4, 1]], [11, [4, 1]], [13, [2, 1]], [19, [-4, 1]]], 'hecke_orbit': 23, 'hecke_orbit_code': 99079191835709994, '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': '4650.2.a.w', 'level': 4650, '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': '930.2.a.g', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{2}-q^{3}+q^{4}-q^{6}-4q^{7}+q^{8}+\\cdots', 'related_objects': ['EllipticCurve/Q/4650/w'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4650.2.a', 'trace_display': [1, -1, 0, -4], 'trace_hash': 1904631813197232450, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.012', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.004', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.038', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.994', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.127', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.959', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.022', 'prec': 17}, 'traces': [1, 1, -1, 1, 0, -1, -4, 1, 1, 0, -4, -1, -2, -4, 0, 1, -2, 1, 4, 0, 4, -4, -4, -1, 0, -2, -1, -4, -2, 0, -1, 1, 4, -2, 0, 1, 6, 4, 2, 0, 10, 4, 4, -4, 0, -4, -8, -1, 9, 0, 2, -2, 6, -1, 0, -4, -4, -2, 8, 0, 10, -1, -4, 1, 0, 4, 12, -2, 4, 0, 0, 1, -14, 6, 0, 4, 16, 2, -8, 0, 1, 10, -4, 4, 0, 4, 2, -4, -6, 0, 8, -4, 1, -8, 0, -1, 6, 9, -4, 0, 18, 2, -4, -2, 0, 6, 4, -1, 6, 0, -6, -4, -6, -4, 0, -2, -2, 8, 8, 0, 5, 10, -10, -1, 0, -4, 8, 1, -4, 0, -8, 4, -16, 12, 0, -2, 6, 4, 16, 0, 8, 0, 8, 1, 0, -14, -9, 6, -6, 0, 8, 4, -2, 16, 0, 2, 22, -8, -6, 0, 16, 1, -12, 10, 0, -4, 20, 4, -9, 0, 4, 4, 14, 2, 0, -4, -8, -6, -20, 0, -6, 8, -10, -4, 0, 1, 8, -8, 4, 0, 24, -1, 14, 6, 0, 9, 14, -4, -8, 0, -12, 18, 8, 2, 0, -4, -4, -2, 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• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.7071067811865476, 0.0], [-0.5773502691896257, 0.0], [0.5, 0.0], [0.0, 0.0], [-0.408248290463863, 0.0], [-1.511857892036909, 0.0], [0.3535533905932738, 0.0], [0.3333333333333333, 0.0], [0.0, 0.0], [-1.2060453783110545, 0.0], [-0.28867513459481287, 0.0], [-0.5547001962252291, 0.0], [-1.0690449676496976, 0.0], [0.0, 0.0], [0.25, 0.0], [-0.48507125007266594, 0.0], [0.23570226039551584, 0.0], [0.9176629354822471, 0.0], [0.0, 0.0], [0.8728715609439696, 0.0], [-0.8528028654224418, 0.0], [-0.8340576562282991, 0.0], [-0.2041241452319315, 0.0], [0.0, 0.0], [-0.3922322702763681, 0.0], [-0.19245008972987526, 0.0], [-0.7559289460184545, 0.0], [-0.3713906763541037, 0.0], [0.0, 0.0], [-0.1796053020267749, 0.0], [0.1767766952966369, 0.0], [0.6963106238227914, 0.0], [-0.3429971702850177, 0.0], [0.0, 0.0], [0.16666666666666666, 0.0], [0.9863939238321437, 0.0], [0.6488856845230502, 0.0], [0.32025630761017426, 0.0], [0.0, 0.0], [1.5617376188860606, 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': [6, 6, 7, 5, 6, 6, 5, 7, 7, 4, 4, 8, 4, 7, 8, 4], 'Nk2': 18600, 'analytic_conductor': 37.130436939895375, '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': [4650, 1, [3101, 2977, 1801], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 937, 'dim': 94, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 13, 19], 'hecke_orbit_code': 33559082, '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, 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, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3], 'label': '4650.2.a', 'level': 4650, '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': 984, 'mf_new_dim': 94, 'num_forms': 68, 'plus_dim': 38, 'prim_orbit_index': 1, 'relative_dim': 94, 'sturm_bound': 1920, 'trace_bound': 13, 'trace_display': [-2, 0, 0, -8], 'traces': [94, -2, 0, 94, 0, 0, -8, -2, 94, 0, -16, 0, -12, -8, 0, 94, -4, -2, -12, 0, 0, 0, 0, 0, 0, 20, 0, -8, 36, 0, 0, -2, -4, 36, 0, 94, 12, 0, 0, 0, 28, 8, -8, -16, 0, -8, 24, 0, 78, 0, -20, -12, -20, 0, 0, -8, -16, -12, -24, 0, -20, 0, -8, 94, 0, -8, -12, -4, -16, 0, 8, -2, -12, -12, 0, -12, 48, -12, -8, 0, 94, 4, 48, 0, 0, 0, 8, 0, 20, 0, -40, 0, 2, -28, 0, 0, 16, -18, -16, 0, -4, -8, -16, 20, 0, 28, 32, 0, -68, 0, -24, -8, 12, 16, 0, 36, -12, 0, 96, 0, 178, 12, -8, 0, 0, -8, 64, -2, -24, 0, 104, -4, 8, 0, 0, 36, -4, -8, 112, 0, 8, 52, 40, 94, 0, 52, 0, 12, 188, 0, -24, 0, -4, 8, 0, 0, 60, 0, -32, 0, 128, -2, 28, 28, 0, 0, 112, 8, 78, 0, -12, -8, -12, -8, 0, -16, 48, -36, -32, 0, -12, 80, -16, -8, 0, -6, 44, 24, 0, 0, 112, 0, 8, -28, 0, 78, 92, 0, -88, 0, -16, 20, 32, -20, 0, 8, 0, -12, 32, 0, 8, -20, -24, -56, 0, 0, 8, 28, -40, 0, -8, 8, 8, -8, 0, 52, 32, -16, 76, 0, -24, -12, -20, 20, 0, -24, -16, 40, -80, 0, -108, -10, 0, -20, 0, 16, -8, 0, -52, 0, 96, -8, -80, 96, 0, 94, 108, 16, -32, 0, 36, 48, -96, -8, 0, 168, 0, -12, -44, 0, -88, -4, -72, 20, 0, -16, -44, 32, 0, 0, 44, 32, -12, 8, 0, 84, 64, -2, 14, 0, -80, -12, -28, 0, 0, -12, -4, 0, 200, 0, 128, 32, 80, -12, 0, 36, 16, 48, -80, 0, -88, -12, -28, 132, 0, -8, -92, 16, 16, 0, 96, 48, 64, 94, 0, -48, 0, 4, -8, 0, 136, 48, 12, 8, 0, 0, 140, -30, 120, 0, 8, 0, -64, 0, 0, -40, -32, 8, 36, 0, 0, 0, -116, 0, 0, 20, 56, -16, -40, 0, -14, -20, -64, -40, 0, 12, -120, 0, 28, 0, -16, 2, -28, -24, 0, -28, -112, 8, -84, 0, -72, 8, 32, 0, 0, -12, -8, 16, 20, 0, 192, -18, 16, 76, 0, -16, -20, 80, -112, 0, -172, 0, -12, -4, 0, 32, -48, -8, 124, 0, -56, -16, -112, -8, 0, 20, -48, 48, 128, 0, -28, 24, 24, 28, 0, -16, -88, 32, 152, 0, -32, 0, -44, 0, 0, -68, -144, 24, 136, 0, 78, 60, -136, -24, 0, 128, 40, -8, -76, 0, 56, 12, 16, 8, 0, 16, -20, -20, -20, 0, 132, 56, 56, 36, 0, -12, 72, -12, -152, 0, -80, 0, -56, -52, 0, 96, -20, 56, -168, 0, -16, -180, 64, 178, 0, 0, 184, 12, 16, 0, 240, -8, 56, -64, 0, 0, 56, 40, -64, 0, 112, -32, -8, -8, 0, -8, -64, 64, 68, 0, -48, -2, -16, -92, 0, -24, -56, -96, -8, 0, -212, -12, -48, 104, 0, -40, 24, -4, 126, 0, -24, 8, -56, -8, 0, 0, 52, -84, 32, 0, -100, -16, -40, 36, 0, -24, -224, -4, -20, 0, -80, -8, -8, -140, 0, 112, -84, 0, -216, 0, 0, -76, 48, 8, 0, -96, -8, 52, -364, 0, -112, 40, 0, -16, 0, 94, -72, -150, -32, 0, -320, -32, -168, 52, 0, -12, -128, 0, -16, 0, 104, 12, 36, -8, 0, 188, 0, 16, -232, 0, -28, -64, -12, -24, 0, -16, 88, 0, -16, 0, -176, -4, 68, -72, 0, 8, -84, -48, -24, 0, -16, -20, 128, 0, 0, 228, -20, 60, 40, 0, -288, 0, -48, 8, 0, -32, -76, -184, 8, 0, -28, 48, 48, 128, 0, -240, -16, -2, -112, 0, -8, 28, -172, -72, 0, 28, -12, 40, -128, 0, 124, 80, 136, 0, 0, -12, 96, 112, -56, 0, 88, 8, -12, 4, 0, 78, -100, 16, -152, 0, -8, 12, -8, -12, 0, -208, -32, -8, 160, 0, 44, -12, 48, -112, 0, -8, -96, -12, 64, 0, -132, -12, 80, -16, 0, 100, -288, 48, -292, 0, -8, -36, -40, -24, 0, -32, 64, 100, 48, 0, -112, 22, -40, -12, 0, -64, -24, 80, 94, 0, -104, -16, 268, 48, 0, -8, -176, 4, 48, 0, -112, -64, 144, -6, 0, -20, 48, 44, -80, 0, -400, 24, 80, -56, 0, 0, -36, 0, -48, 0, -140, 72, 32, 112, 0, -8, 112, 0, 132, 0, -112, 8, 172, 0, 0, -28, 0, -180, -104, 0, -248, 88, 8, 78, 0, 32, 104, 92, -24, 0, -160, 0, 132, 12, 0, -88, 28, -24, 280, 0, 20, 12, 56, -16, 0, 0, 56, 20, -76, 0, -376, 32, 64, -168, 0, -20, 184, -100, -40, 0, 180, 0, -56, 8, 0, 256, -128, 0, -28, 0, 48, -12, 28, 32, 0, 32, 2, 0, -208, 0, 106, -172, 88, 8, 0, -28, 224, -20, -48, 0, -240, -24, -188, 64, 0, -56, -132, -16, -416, 0, 80, -40, -160, 0, 0, -172, 128, 8, -400, 0, -184, 28, 16, 40, 0, -40, 44, 56, -48, 0, -92, -18, 0, -8, 0, 16, 128, 8, -160, 0, -16, 8, 240, 32, 0, -8, -88, -68, -48, 0, -112, 16, -80, 52, 0, 36, -116, 32, -4, 0, -80, -16, 116, 36, 0, 76, -16, -8, 48, 0, -32, -68, 80, -24, 0, 16, -16, -12, -44, 0, -188, -20, -56, -88, 0, 20, 0, 40, -104, 0, -252, -80, -80, -24, 0, -8, -160, -16, 176, 0, -120, 40, 188, 28, 0, -80, 128, -84, -64, 0, 94, 88, 32, -108, 0, -80, -216, -10, 188, 0, 40, 0, 144, -96, 0, -20, 108, -48, -296, 0, -68, -80, 96, 16, 0, -32, -72, -8, -80, 0, -240, 0, -144, -24, 0, -52, 4, -176, -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: 48434834
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 99079191835709994, 'source_is_minimal': False, 'source_label': '4650.2.a.w.1.1', 'source_level': 4650, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 99079191835709994, 'target_is_minimal': False, 'target_label': '4650.2.a.w.1.1', 'target_level': 4650, 'twist_class_label': '930.2.a.g.1.1', 'twist_class_level': 930, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48434835
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 99079191835709994, 'source_is_minimal': False, 'source_label': '4650.2.a.w.1.1', 'source_level': 4650, 'target_conrey_index': 3349, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007405446730282, 'target_is_minimal': False, 'target_label': '4650.2.d.c.3349.2', 'target_level': 4650, 'twist_class_label': '930.2.a.g.1.1', 'twist_class_level': 930, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48434836
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 99079191835709994, 'source_is_minimal': False, 'source_label': '4650.2.a.w.1.1', 'source_level': 4650, 'target_conrey_index': 3349, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007405446730282, 'target_is_minimal': False, 'target_label': '4650.2.d.c.3349.1', 'target_level': 4650, 'twist_class_label': '930.2.a.g.1.1', 'twist_class_level': 930, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48434837
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 99079191835709994, 'source_is_minimal': False, 'source_label': '4650.2.a.w.1.1', 'source_level': 4650, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597797778338, 'target_is_minimal': True, 'target_label': '930.2.a.g.1.1', 'target_level': 930, 'twist_class_label': '930.2.a.g.1.1', 'twist_class_level': 930, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 48434838
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 99079191835709994, 'source_is_minimal': False, 'source_label': '4650.2.a.w.1.1', 'source_level': 4650, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 126100789599931110, 'target_is_minimal': False, 'target_label': '2790.2.a.bc.1.1', 'target_level': 2790, 'twist_class_label': '930.2.a.g.1.1', 'twist_class_level': 930, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 48434839
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 99079191835709994, 'source_is_minimal': False, 'source_label': '4650.2.a.w.1.1', 'source_level': 4650, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33561872, 'target_is_minimal': False, 'target_label': '7440.2.a.a.1.1', 'target_level': 7440, 'twist_class_label': '930.2.a.g.1.1', 'twist_class_level': 930, '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: 3661900
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 2}
  • id: 3661901
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 3}
  • id: 3661902
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 5}
  • id: 3661903
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 7}
  • id: 3661904
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 11}
  • id: 3661905
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 13}
  • id: 3661906
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 17}
  • id: 3661907
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 19}
  • id: 3661908
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 23}
  • id: 3661909
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 29}
  • id: 3661910
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 31}
  • id: 3661911
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 37}
  • id: 3661912
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 41}
  • id: 3661913
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 43}
  • id: 3661914
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 47}
  • id: 3661915
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 53}
  • id: 3661916
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 59}
  • id: 3661917
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 61}
  • id: 3661918
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 67}
  • id: 3661919
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 71}
  • id: 3661920
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 73}
  • id: 3661921
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 79}
  • id: 3661922
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 83}
  • id: 3661923
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 99079191835709994, 'p': 89}
  • id: 3661924
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 99079191835709994, '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': '4650.2.a.w', 'level': 4650, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 65445547
    {'hecke_orbit_code': 99079191835709994, 'n': 1, 'trace_an': 1}
  • id: 65445548
    {'hecke_orbit_code': 99079191835709994, 'n': 2, 'trace_an': 1}
  • id: 65445549
    {'hecke_orbit_code': 99079191835709994, 'n': 3, 'trace_an': -1}
  • id: 65445550
    {'hecke_orbit_code': 99079191835709994, 'n': 4, 'trace_an': 1}
  • id: 65445551
    {'hecke_orbit_code': 99079191835709994, 'n': 5, 'trace_an': 0}
  • id: 65445552
    {'hecke_orbit_code': 99079191835709994, 'n': 6, 'trace_an': -1}
  • id: 65445553
    {'hecke_orbit_code': 99079191835709994, 'n': 7, 'trace_an': -4}
  • id: 65445554
    {'hecke_orbit_code': 99079191835709994, 'n': 8, 'trace_an': 1}
  • id: 65445555
    {'hecke_orbit_code': 99079191835709994, 'n': 9, 'trace_an': 1}
  • id: 65445556
    {'hecke_orbit_code': 99079191835709994, 'n': 10, 'trace_an': 0}
  • id: 65445557
    {'hecke_orbit_code': 99079191835709994, 'n': 11, 'trace_an': -4}
  • id: 65445558
    {'hecke_orbit_code': 99079191835709994, 'n': 12, 'trace_an': -1}
  • id: 65445559
    {'hecke_orbit_code': 99079191835709994, 'n': 13, 'trace_an': -2}
  • id: 65445560
    {'hecke_orbit_code': 99079191835709994, 'n': 14, 'trace_an': -4}
  • id: 65445561
    {'hecke_orbit_code': 99079191835709994, 'n': 15, 'trace_an': 0}
  • id: 65445562
    {'hecke_orbit_code': 99079191835709994, 'n': 16, 'trace_an': 1}
  • id: 65445563
    {'hecke_orbit_code': 99079191835709994, 'n': 17, 'trace_an': -2}
  • id: 65445564
    {'hecke_orbit_code': 99079191835709994, 'n': 18, 'trace_an': 1}
  • id: 65445565
    {'hecke_orbit_code': 99079191835709994, 'n': 19, 'trace_an': 4}
  • id: 65445566
    {'hecke_orbit_code': 99079191835709994, 'n': 20, 'trace_an': 0}
  • id: 65445567
    {'hecke_orbit_code': 99079191835709994, 'n': 21, 'trace_an': 4}
  • id: 65445568
    {'hecke_orbit_code': 99079191835709994, 'n': 22, 'trace_an': -4}
  • id: 65445569
    {'hecke_orbit_code': 99079191835709994, 'n': 23, 'trace_an': -4}
  • id: 65445570
    {'hecke_orbit_code': 99079191835709994, 'n': 24, 'trace_an': -1}
  • id: 65445571
    {'hecke_orbit_code': 99079191835709994, 'n': 25, 'trace_an': 0}
  • id: 65445572
    {'hecke_orbit_code': 99079191835709994, 'n': 26, 'trace_an': -2}
  • id: 65445573
    {'hecke_orbit_code': 99079191835709994, 'n': 27, 'trace_an': -1}
  • id: 65445574
    {'hecke_orbit_code': 99079191835709994, 'n': 28, 'trace_an': -4}
  • id: 65445575
    {'hecke_orbit_code': 99079191835709994, 'n': 29, 'trace_an': -2}
  • id: 65445576
    {'hecke_orbit_code': 99079191835709994, 'n': 30, 'trace_an': 0}
  • id: 65445577
    {'hecke_orbit_code': 99079191835709994, 'n': 31, 'trace_an': -1}
  • id: 65445578
    {'hecke_orbit_code': 99079191835709994, 'n': 32, 'trace_an': 1}
  • id: 65445579
    {'hecke_orbit_code': 99079191835709994, 'n': 33, 'trace_an': 4}
  • id: 65445580
    {'hecke_orbit_code': 99079191835709994, 'n': 34, 'trace_an': -2}
  • id: 65445581
    {'hecke_orbit_code': 99079191835709994, 'n': 35, 'trace_an': 0}
  • id: 65445582
    {'hecke_orbit_code': 99079191835709994, 'n': 36, 'trace_an': 1}
  • id: 65445583
    {'hecke_orbit_code': 99079191835709994, 'n': 37, 'trace_an': 6}
  • id: 65445584
    {'hecke_orbit_code': 99079191835709994, 'n': 38, 'trace_an': 4}
  • id: 65445585
    {'hecke_orbit_code': 99079191835709994, 'n': 39, 'trace_an': 2}
  • id: 65445586
    {'hecke_orbit_code': 99079191835709994, 'n': 40, 'trace_an': 0}
  • id: 65445587
    {'hecke_orbit_code': 99079191835709994, 'n': 41, 'trace_an': 10}
  • id: 65445588
    {'hecke_orbit_code': 99079191835709994, 'n': 42, 'trace_an': 4}
  • id: 65445589
    {'hecke_orbit_code': 99079191835709994, 'n': 43, 'trace_an': 4}
  • id: 65445590
    {'hecke_orbit_code': 99079191835709994, 'n': 44, 'trace_an': -4}
  • id: 65445591
    {'hecke_orbit_code': 99079191835709994, 'n': 45, 'trace_an': 0}
  • id: 65445592
    {'hecke_orbit_code': 99079191835709994, 'n': 46, 'trace_an': -4}
  • id: 65445593
    {'hecke_orbit_code': 99079191835709994, 'n': 47, 'trace_an': -8}
  • id: 65445594
    {'hecke_orbit_code': 99079191835709994, 'n': 48, 'trace_an': -1}
  • id: 65445595
    {'hecke_orbit_code': 99079191835709994, 'n': 49, 'trace_an': 9}
  • id: 65445596
    {'hecke_orbit_code': 99079191835709994, 'n': 50, 'trace_an': 0}
  • id: 65445597
    {'hecke_orbit_code': 99079191835709994, 'n': 51, 'trace_an': 2}
  • id: 65445598
    {'hecke_orbit_code': 99079191835709994, 'n': 52, 'trace_an': -2}
  • id: 65445599
    {'hecke_orbit_code': 99079191835709994, 'n': 53, 'trace_an': 6}
  • id: 65445600
    {'hecke_orbit_code': 99079191835709994, 'n': 54, 'trace_an': -1}
  • id: 65445601
    {'hecke_orbit_code': 99079191835709994, 'n': 55, 'trace_an': 0}
  • id: 65445602
    {'hecke_orbit_code': 99079191835709994, 'n': 56, 'trace_an': -4}
  • id: 65445603
    {'hecke_orbit_code': 99079191835709994, 'n': 57, 'trace_an': -4}
  • id: 65445604
    {'hecke_orbit_code': 99079191835709994, 'n': 58, 'trace_an': -2}
  • id: 65445605
    {'hecke_orbit_code': 99079191835709994, 'n': 59, 'trace_an': 8}
  • id: 65445606
    {'hecke_orbit_code': 99079191835709994, 'n': 60, 'trace_an': 0}
  • id: 65445607
    {'hecke_orbit_code': 99079191835709994, 'n': 61, 'trace_an': 10}
  • id: 65445608
    {'hecke_orbit_code': 99079191835709994, 'n': 62, 'trace_an': -1}
  • id: 65445609
    {'hecke_orbit_code': 99079191835709994, 'n': 63, 'trace_an': -4}
  • id: 65445610
    {'hecke_orbit_code': 99079191835709994, 'n': 64, 'trace_an': 1}
  • id: 65445611
    {'hecke_orbit_code': 99079191835709994, 'n': 65, 'trace_an': 0}
  • id: 65445612
    {'hecke_orbit_code': 99079191835709994, 'n': 66, 'trace_an': 4}
  • id: 65445613
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  • id: 65445614
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  • id: 65445615
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  • id: 65445616
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  • id: 65445617
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  • id: 65445618
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  • id: 65445619
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  • id: 65445620
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  • id: 65445621
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  • id: 65445622
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  • id: 65445623
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  • id: 65445624
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  • id: 65445625
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  • id: 65445626
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  • id: 65445627
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  • id: 65445628
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  • id: 65445629
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  • id: 65445630
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  • id: 65445631
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  • id: 65445632
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  • id: 65445633
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  • id: 65445634
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  • id: 65445635
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  • id: 65445636
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  • id: 65445637
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  • id: 65445638
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  • id: 65445639
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  • id: 65445640
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  • id: 65445641
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  • id: 65445642
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  • id: 65445643
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  • id: 65445644
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  • id: 65445645
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  • id: 65445646
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  • id: 65445647
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  • id: 65445648
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  • id: 65445649
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  • id: 65445650
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  • id: 65445651
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  • id: 65445652
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  • id: 65445653
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  • id: 65445654
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  • id: 65445655
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  • id: 65445656
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  • id: 65445657
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  • id: 65445658
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  • id: 65445659
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  • id: 65445660
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  • id: 65445661
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  • id: 65445662
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  • id: 65445663
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  • id: 65445664
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  • id: 65445665
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  • id: 65445666
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  • id: 65445667
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  • id: 65445668
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  • id: 65445669
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  • id: 65445670
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  • id: 65445671
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  • id: 65445672
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  • id: 65445673
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  • id: 65445674
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  • id: 65445675
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  • id: 65445676
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  • id: 65445677
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  • id: 65445678
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  • id: 65445679
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  • id: 65445680
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  • id: 65445681
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  • id: 65445682
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  • id: 65445683
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  • id: 65445684
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  • id: 65445685
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  • id: 65445686
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  • id: 65445687
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  • id: 65445688
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  • id: 65445689
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  • id: 65445690
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  • id: 65445691
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  • id: 65445692
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  • id: 65445693
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  • id: 65445694
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  • id: 65445695
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  • id: 65445696
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  • id: 65445697
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  • id: 65445698
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  • id: 65445699
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  • id: 65445700
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  • id: 65445701
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  • id: 65445702
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  • id: 65445703
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  • id: 65445704
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  • id: 65445705
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  • id: 65445706
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  • id: 65445707
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  • id: 65445708
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  • id: 65445709
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  • id: 65445710
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  • id: 65445711
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  • id: 65445712
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  • id: 65445713
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  • id: 65445714
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  • id: 65445715
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  • id: 65445716
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  • id: 65445717
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  • id: 65445718
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  • id: 65445719
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  • id: 65445720
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  • id: 65445721
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  • id: 65445722
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  • id: 65445723
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  • id: 65445724
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  • id: 65445725
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  • id: 65445726
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  • id: 65445727
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  • id: 65445728
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  • id: 65445729
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  • id: 65445730
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  • id: 65445731
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  • id: 65445732
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  • id: 65445733
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  • id: 65445734
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  • id: 65445735
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  • id: 65445736
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  • id: 65445737
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  • id: 65445738
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  • id: 65445739
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  • id: 65445740
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  • id: 65445741
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  • id: 65445742
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  • id: 65445743
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  • id: 65445744
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  • id: 65445745
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  • id: 65445746
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  • id: 65445747
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  • id: 65445748
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  • id: 65445749
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  • id: 65445750
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  • id: 65445751
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  • id: 65445752
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  • id: 65445753
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  • id: 65445754
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  • id: 65445755
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  • id: 65445756
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  • id: 65445757
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  • id: 65445758
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  • id: 65445759
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  • id: 65445760
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  • id: 65445761
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  • id: 65445762
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  • id: 65445763
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  • id: 65445764
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  • id: 65445765
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  • id: 65445766
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  • id: 65445767
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  • id: 65445768
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  • id: 65445769
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  • id: 65445770
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  • id: 65445771
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  • id: 65445772
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  • id: 65445773
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  • id: 65445774
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  • id: 65445775
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  • id: 65445776
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  • id: 65445777
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  • id: 65445778
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  • id: 65445779
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  • id: 65445780
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  • id: 65445781
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  • id: 65445782
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  • id: 65445783
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  • id: 65445784
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  • id: 65445785
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  • id: 65445786
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  • id: 65445787
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  • id: 65445788
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  • id: 65445789
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  • id: 65445790
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  • id: 65445791
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  • id: 65445792
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  • id: 65445793
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  • id: 65445794
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  • id: 65445795
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  • id: 65445796
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  • id: 65445797
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  • id: 65445798
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  • id: 65445799
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  • id: 65445800
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  • id: 65445801
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  • id: 65445802
    {'hecke_orbit_code': 99079191835709994, 'n': 983, 'trace_an': 36}
  • id: 65445803
    {'hecke_orbit_code': 99079191835709994, 'n': 991, 'trace_an': 16}
  • id: 65445804
    {'hecke_orbit_code': 99079191835709994, 'n': 997, 'trace_an': -18}