Embedded newform data - 289.4.a.b.1.2

Formats: - HTML - YAML - JSON - 2024-04-25T17:19:45.339838

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 4624, 'analytic_conductor': 17.05155199165904, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[17, 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': [289, 1, [3], [1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 3, 'field_disc': 2636, 'field_disc_factorization': [[2, 2], [659, 1]], 'field_poly': [-4, -14, 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': [[2, [32, -24, -1, 1]], [3, [-204, -62, 4, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599694479649, '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_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '289.4.a.b', 'level': 289, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [17], 'level_radical': 17, 'minimal_twist': '17.4.a.b', 'nf_label': '3.3.2636.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(\\beta _{1}-\\beta _{2})q^{2}+(-2+\\beta _{1}-2\\beta _{2})q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '289.4.a', 'trace_display': [1, -4, 8, -22], 'trace_hash': 1145496828435181876, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.030', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.855', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '21.315', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '231.400', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [3, 1, -4, 25, 8, 74, -22, -39, 59, 56, 28, -22, 30, -92, 108, 137, 0, -103, 80, 168, -192, -286, -142, 666, -223, 26, 20, -476, 456, 400, -230, -71, -332, 0, -332, 1313, -356, 724, -268, 424, 294, -1128, 556, 1122, 384, 704, 640, -774, -269, 547, 0, -774, 302, 1100, 76, -684, 720, 1304, 636, 1328, 84, -508, -1122, -919, -408, 2468, 1008, 0, 576, -1504, 402, -927, -838, -836, 1548, -908, -504, -1308, 594, 40, -505, -358, -2396, -2040, 0, -1264, 1428, -1838, -170, 2008, 1016, -4896, 632, -2016, 472, -678, 270, 2857, 2920, -1205, 1262, 0, 2600, -1286, -2328, 2866, 1504, -3028, -1088, 528, -2044, -620, 1306, -1176, -1108, 3880, -1978, -2648, 0, 1936, -477, 3516, -3120, 2404, -336, -3132, 5172, -2023, -4032, -1392, 2264, -7884, -536, 4384, 96, 0, 2114, -10928, -1428, -4096, -4232, -2016, -2092, 4497, 2984, -1058, 6256, -8020, 442, -4194, 2724, 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• mf_hecke_cc •

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

  
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-0.3231563270443527, -0.07141137768662019, -0.1728044216841647, -0.3073669452458225, -0.4153759699319519, -0.27771765926247394, -0.2044605602565019, -0.3549672763593529, -0.20357185975954822, -0.1937795647622832, -0.24971189498788446, -0.2761924646347305, -0.3108664215038319, -0.43670372075511393, -0.15266503151001978, -0.3859286601843725, -0.13301258546005543, -0.4398646941381114, -0.2904873132669235, -0.2157234237907138, -0.3047685092389181, -0.1456994200468789, -0.18129274440655177, -0.2277579119005938, -0.319406068225243, -0.24679230296433785, -0.34655603097784987, -0.1824478944906268, -0.12672325271600346, -0.27967081025926316, -0.2206260778448718, -0.17189422175635494, -0.08139181543420267], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': 3.8770743824610734, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599694479649, 'label': '289.4.a.b.1.2', 'level': 289, 'weight': 4}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[17, -1]], 28, 3], [[[17, 1]], 32, 6]], 'ALdims': [32, 28], 'Nk2': 4624, 'analytic_conductor': 17.05155199165904, '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': [289, 1, [3], [1]], 'conrey_index': 1, 'cusp_dim': 68, 'dim': 60, 'eis_dim': 18, 'eis_new_dim': 15, 'hecke_cutter_primes': [2, 3], 'hecke_orbit_code': 67109153, 'hecke_orbit_dims': [1, 3, 4, 4, 4, 8, 12, 12, 12], 'label': '289.4.a', 'level': 289, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [17], 'level_radical': 17, 'mf_dim': 86, 'mf_new_dim': 75, 'num_forms': 9, 'plus_dim': 32, 'prim_orbit_index': 1, 'relative_dim': 60, 'sturm_bound': 102, 'trace_bound': 3, 'trace_display': [2, 4, 2, 6], 'traces': [60, 2, 4, 198, 2, 50, 6, 18, 336, 74, 52, -14, 4, -176, -72, 574, 0, 142, -184, 162, -52, -358, -82, 834, 1160, -160, 100, 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• 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: 34278429
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503599694479649, 'source_is_minimal': False, 'source_label': '289.4.a.b.1.2', 'source_level': 289, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503599694479649, 'target_is_minimal': False, 'target_label': '289.4.a.b.1.2', 'target_level': 289, 'twist_class_label': '17.4.a.b.1.2', 'twist_class_level': 17, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 34278430
    {'conductor': 17, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503599694479649, 'source_is_minimal': False, 'source_label': '289.4.a.b.1.2', 'source_level': 289, 'target_conrey_index': 288, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4503668413956385, 'target_is_minimal': False, 'target_label': '289.4.b.b.288.4', 'target_level': 289, 'twist_class_label': '17.4.a.b.1.2', 'twist_class_level': 17, 'twisting_char_label': '17.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 34278431
    {'conductor': 17, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503599694479649, 'source_is_minimal': False, 'source_label': '289.4.a.b.1.2', 'source_level': 289, 'target_conrey_index': 288, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4503668413956385, 'target_is_minimal': False, 'target_label': '289.4.b.b.288.3', 'target_level': 289, 'twist_class_label': '17.4.a.b.1.2', 'twist_class_level': 17, 'twisting_char_label': '17.13', 'twisting_conrey_index': 13, 'weight': 4}
  • id: 34278432
    {'conductor': 17, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503599694479649, 'source_is_minimal': False, 'source_label': '289.4.a.b.1.2', 'source_level': 289, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503599694479377, 'target_is_minimal': True, 'target_label': '17.4.a.b.1.2', 'target_level': 17, 'twist_class_label': '17.4.a.b.1.2', 'twist_class_level': 17, 'twisting_char_label': '17.16', 'twisting_conrey_index': 16, 'weight': 4}
  • id: 34278433
    {'conductor': 51, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503599694479649, 'source_is_minimal': False, 'source_label': '289.4.a.b.1.2', 'source_level': 289, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021597831331993, 'target_is_minimal': False, 'target_label': '153.4.a.g.1.2', 'target_level': 153, 'twist_class_label': '17.4.a.b.1.2', 'twist_class_level': 17, 'twisting_char_label': '51.50', 'twisting_conrey_index': 50, 'weight': 4}
  • id: 34278434
    {'conductor': 68, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503599694479649, 'source_is_minimal': False, 'source_label': '289.4.a.b.1.2', 'source_level': 289, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525197458702608, 'target_is_minimal': False, 'target_label': '272.4.a.h.1.2', 'target_level': 272, 'twist_class_label': '17.4.a.b.1.2', 'twist_class_level': 17, 'twisting_char_label': '68.67', 'twisting_conrey_index': 67, 'weight': 4}
  • id: 34278435
    {'conductor': 85, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503599694479649, 'source_is_minimal': False, 'source_label': '289.4.a.b.1.2', 'source_level': 289, 'target_conrey_index': 324, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 22518066923438505, 'target_is_minimal': False, 'target_label': '425.4.b.f.324.3', 'target_level': 425, 'twist_class_label': '17.4.a.b.1.2', 'twist_class_level': 17, 'twisting_char_label': '85.33', 'twisting_conrey_index': 33, 'weight': 4}
  • id: 34278436
    {'conductor': 85, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503599694479649, 'source_is_minimal': False, 'source_label': '289.4.a.b.1.2', 'source_level': 289, 'target_conrey_index': 324, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 22518066923438505, 'target_is_minimal': False, 'target_label': '425.4.b.f.324.4', 'target_level': 425, 'twist_class_label': '17.4.a.b.1.2', 'twist_class_level': 17, 'twisting_char_label': '85.67', 'twisting_conrey_index': 67, 'weight': 4}
  • id: 34278437
    {'conductor': 85, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503599694479649, 'source_is_minimal': False, 'source_label': '289.4.a.b.1.2', 'source_level': 289, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021597831332265, 'target_is_minimal': False, 'target_label': '425.4.a.g.1.2', 'target_level': 425, 'twist_class_label': '17.4.a.b.1.2', 'twist_class_level': 17, 'twisting_char_label': '85.84', 'twisting_conrey_index': 84, 'weight': 4}
  • id: 34278438
    {'conductor': 119, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503599694479649, 'source_is_minimal': False, 'source_label': '289.4.a.b.1.2', 'source_level': 289, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510798949221185, 'target_is_minimal': False, 'target_label': '833.4.a.d.1.2', 'target_level': 833, 'twist_class_label': '17.4.a.b.1.2', 'twist_class_level': 17, 'twisting_char_label': '119.118', 'twisting_conrey_index': 118, 'weight': 4}
  • id: 34278439
    {'conductor': 136, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503599694479649, 'source_is_minimal': False, 'source_label': '289.4.a.b.1.2', 'source_level': 289, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 103582791496631360, 'target_is_minimal': False, 'target_label': '1088.4.a.x.1.2', 'target_level': 1088, 'twist_class_label': '17.4.a.b.1.2', 'twist_class_level': 17, 'twisting_char_label': '136.67', 'twisting_conrey_index': 67, 'weight': 4}
  • id: 34278440
    {'conductor': 136, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503599694479649, 'source_is_minimal': False, 'source_label': '289.4.a.b.1.2', 'source_level': 289, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 94575592241890368, 'target_is_minimal': False, 'target_label': '1088.4.a.v.1.2', 'target_level': 1088, 'twist_class_label': '17.4.a.b.1.2', 'twist_class_level': 17, 'twisting_char_label': '136.101', 'twisting_conrey_index': 101, 'weight': 4}
  • id: 34278441
    {'conductor': 187, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503599694479649, 'source_is_minimal': False, 'source_label': '289.4.a.b.1.2', 'source_level': 289, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014398576592905, 'target_is_minimal': False, 'target_label': '2057.4.a.e.1.2', 'target_level': 2057, 'twist_class_label': '17.4.a.b.1.2', 'twist_class_level': 17, 'twisting_char_label': '187.186', 'twisting_conrey_index': 186, 'weight': 4}
  • id: 34278442
    {'conductor': 204, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503599694479649, 'source_is_minimal': False, 'source_label': '289.4.a.b.1.2', 'source_level': 289, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 153122387397708176, 'target_is_minimal': False, 'target_label': '2448.4.a.bi.1.1', 'target_level': 2448, 'twist_class_label': '17.4.a.b.1.2', 'twist_class_level': 17, 'twisting_char_label': '204.203', 'twisting_conrey_index': 203, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 650600
    {'charpoly_factorization': [[[32, -24, -1, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 2}
  • id: 650601
    {'charpoly_factorization': [[[-204, -62, 4, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 3}
  • id: 650602
    {'charpoly_factorization': [[[-32, -44, -8, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 5}
  • id: 650603
    {'charpoly_factorization': [[[-792, -138, 22, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 7}
  • id: 650604
    {'charpoly_factorization': [[[4692, -1366, -28, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 11}
  • id: 650605
    {'charpoly_factorization': [[[-9392, -1472, -30, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 13}
  • id: 650606
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 4503599694479649, 'p': 17}
  • id: 650607
    {'charpoly_factorization': [[[340128, -4632, -80, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 19}
  • id: 650608
    {'charpoly_factorization': [[[-1600544, -15770, 142, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 23}
  • id: 650609
    {'charpoly_factorization': [[[-1518624, 53908, -456, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 29}
  • id: 650610
    {'charpoly_factorization': [[[81608, -11586, 230, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 31}
  • id: 650611
    {'charpoly_factorization': [[[-6176752, -17964, 356, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 37}
  • id: 650612
    {'charpoly_factorization': [[[1638744, -86564, -294, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 41}
  • id: 650613
    {'charpoly_factorization': [[[7270272, 51096, -556, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 43}
  • id: 650614
    {'charpoly_factorization': [[[-1671168, 85328, -640, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 47}
  • id: 650615
    {'charpoly_factorization': [[[18162072, -153460, -302, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 53}
  • id: 650616
    {'charpoly_factorization': [[[49419072, -101768, -636, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 59}
  • id: 650617
    {'charpoly_factorization': [[[6792784, -124412, -84, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 61}
  • id: 650618
    {'charpoly_factorization': [[[-765952, 65040, -1008, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 67}
  • id: 650619
    {'charpoly_factorization': [[[274866016, -589874, -402, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 71}
  • id: 650620
    {'charpoly_factorization': [[[19957512, 227852, 838, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 73}
  • id: 650621
    {'charpoly_factorization': [[[742135824, -1121274, -594, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 79}
  • id: 650622
    {'charpoly_factorization': [[[142080704, 1488888, 2396, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 83}
  • id: 650623
    {'charpoly_factorization': [[[-446571376, -1072304, 170, 1], 1]], 'hecke_orbit_code': 4503599694479649, 'p': 89}
  • id: 650624
    {'charpoly_factorization': [[[206623000, -586100, -270, 1], 1]], 'hecke_orbit_code': 4503599694479649, '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': 2, 'label': '289.4.a.b', 'level': 289, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 72356000
    {'hecke_orbit_code': 4503599694479649, 'n': 1, 'trace_an': 3}
  • id: 72356001
    {'hecke_orbit_code': 4503599694479649, 'n': 2, 'trace_an': 1}
  • id: 72356002
    {'hecke_orbit_code': 4503599694479649, 'n': 3, 'trace_an': -4}
  • id: 72356003
    {'hecke_orbit_code': 4503599694479649, 'n': 4, 'trace_an': 25}
  • id: 72356004
    {'hecke_orbit_code': 4503599694479649, 'n': 5, 'trace_an': 8}
  • id: 72356005
    {'hecke_orbit_code': 4503599694479649, 'n': 6, 'trace_an': 74}
  • id: 72356006
    {'hecke_orbit_code': 4503599694479649, 'n': 7, 'trace_an': -22}
  • id: 72356007
    {'hecke_orbit_code': 4503599694479649, 'n': 8, 'trace_an': -39}
  • id: 72356008
    {'hecke_orbit_code': 4503599694479649, 'n': 9, 'trace_an': 59}
  • id: 72356009
    {'hecke_orbit_code': 4503599694479649, 'n': 10, 'trace_an': 56}
  • id: 72356010
    {'hecke_orbit_code': 4503599694479649, 'n': 11, 'trace_an': 28}
  • id: 72356011
    {'hecke_orbit_code': 4503599694479649, 'n': 12, 'trace_an': -22}
  • id: 72356012
    {'hecke_orbit_code': 4503599694479649, 'n': 13, 'trace_an': 30}
  • id: 72356013
    {'hecke_orbit_code': 4503599694479649, 'n': 14, 'trace_an': -92}
  • id: 72356014
    {'hecke_orbit_code': 4503599694479649, 'n': 15, 'trace_an': 108}
  • id: 72356015
    {'hecke_orbit_code': 4503599694479649, 'n': 16, 'trace_an': 137}
  • id: 72356016
    {'hecke_orbit_code': 4503599694479649, 'n': 17, 'trace_an': 0}
  • id: 72356017
    {'hecke_orbit_code': 4503599694479649, 'n': 18, 'trace_an': -103}
  • id: 72356018
    {'hecke_orbit_code': 4503599694479649, 'n': 19, 'trace_an': 80}
  • id: 72356019
    {'hecke_orbit_code': 4503599694479649, 'n': 20, 'trace_an': 168}
  • id: 72356020
    {'hecke_orbit_code': 4503599694479649, 'n': 21, 'trace_an': -192}
  • id: 72356021
    {'hecke_orbit_code': 4503599694479649, 'n': 22, 'trace_an': -286}
  • id: 72356022
    {'hecke_orbit_code': 4503599694479649, 'n': 23, 'trace_an': -142}
  • id: 72356023
    {'hecke_orbit_code': 4503599694479649, 'n': 24, 'trace_an': 666}
  • id: 72356024
    {'hecke_orbit_code': 4503599694479649, 'n': 25, 'trace_an': -223}
  • id: 72356025
    {'hecke_orbit_code': 4503599694479649, 'n': 26, 'trace_an': 26}
  • id: 72356026
    {'hecke_orbit_code': 4503599694479649, 'n': 27, 'trace_an': 20}
  • id: 72356027
    {'hecke_orbit_code': 4503599694479649, 'n': 28, 'trace_an': -476}
  • id: 72356028
    {'hecke_orbit_code': 4503599694479649, 'n': 29, 'trace_an': 456}
  • id: 72356029
    {'hecke_orbit_code': 4503599694479649, 'n': 30, 'trace_an': 400}
  • id: 72356030
    {'hecke_orbit_code': 4503599694479649, 'n': 31, 'trace_an': -230}
  • id: 72356031
    {'hecke_orbit_code': 4503599694479649, 'n': 32, 'trace_an': -71}
  • id: 72356032
    {'hecke_orbit_code': 4503599694479649, 'n': 33, 'trace_an': -332}
  • id: 72356033
    {'hecke_orbit_code': 4503599694479649, 'n': 34, 'trace_an': 0}
  • id: 72356034
    {'hecke_orbit_code': 4503599694479649, 'n': 35, 'trace_an': -332}
  • id: 72356035
    {'hecke_orbit_code': 4503599694479649, 'n': 36, 'trace_an': 1313}
  • id: 72356036
    {'hecke_orbit_code': 4503599694479649, 'n': 37, 'trace_an': -356}
  • id: 72356037
    {'hecke_orbit_code': 4503599694479649, 'n': 38, 'trace_an': 724}
  • id: 72356038
    {'hecke_orbit_code': 4503599694479649, 'n': 39, 'trace_an': -268}
  • id: 72356039
    {'hecke_orbit_code': 4503599694479649, 'n': 40, 'trace_an': 424}
  • id: 72356040
    {'hecke_orbit_code': 4503599694479649, 'n': 41, 'trace_an': 294}
  • id: 72356041
    {'hecke_orbit_code': 4503599694479649, 'n': 42, 'trace_an': -1128}
  • id: 72356042
    {'hecke_orbit_code': 4503599694479649, 'n': 43, 'trace_an': 556}
  • id: 72356043
    {'hecke_orbit_code': 4503599694479649, 'n': 44, 'trace_an': 1122}
  • id: 72356044
    {'hecke_orbit_code': 4503599694479649, 'n': 45, 'trace_an': 384}
  • id: 72356045
    {'hecke_orbit_code': 4503599694479649, 'n': 46, 'trace_an': 704}
  • id: 72356046
    {'hecke_orbit_code': 4503599694479649, 'n': 47, 'trace_an': 640}
  • id: 72356047
    {'hecke_orbit_code': 4503599694479649, 'n': 48, 'trace_an': -774}
  • id: 72356048
    {'hecke_orbit_code': 4503599694479649, 'n': 49, 'trace_an': -269}
  • id: 72356049
    {'hecke_orbit_code': 4503599694479649, 'n': 50, 'trace_an': 547}
  • id: 72356050
    {'hecke_orbit_code': 4503599694479649, 'n': 51, 'trace_an': 0}
  • id: 72356051
    {'hecke_orbit_code': 4503599694479649, 'n': 52, 'trace_an': -774}
  • id: 72356052
    {'hecke_orbit_code': 4503599694479649, 'n': 53, 'trace_an': 302}
  • id: 72356053
    {'hecke_orbit_code': 4503599694479649, 'n': 54, 'trace_an': 1100}
  • id: 72356054
    {'hecke_orbit_code': 4503599694479649, 'n': 55, 'trace_an': 76}
  • id: 72356055
    {'hecke_orbit_code': 4503599694479649, 'n': 56, 'trace_an': -684}
  • id: 72356056
    {'hecke_orbit_code': 4503599694479649, 'n': 57, 'trace_an': 720}
  • id: 72356057
    {'hecke_orbit_code': 4503599694479649, 'n': 58, 'trace_an': 1304}
  • id: 72356058
    {'hecke_orbit_code': 4503599694479649, 'n': 59, 'trace_an': 636}
  • id: 72356059
    {'hecke_orbit_code': 4503599694479649, 'n': 60, 'trace_an': 1328}
  • id: 72356060
    {'hecke_orbit_code': 4503599694479649, 'n': 61, 'trace_an': 84}
  • id: 72356061
    {'hecke_orbit_code': 4503599694479649, 'n': 62, 'trace_an': -508}
  • id: 72356062
    {'hecke_orbit_code': 4503599694479649, 'n': 63, 'trace_an': -1122}
  • id: 72356063
    {'hecke_orbit_code': 4503599694479649, 'n': 64, 'trace_an': -919}
  • id: 72356064
    {'hecke_orbit_code': 4503599694479649, 'n': 65, 'trace_an': -408}
  • id: 72356065
    {'hecke_orbit_code': 4503599694479649, 'n': 66, 'trace_an': 2468}
  • id: 72356066
    {'hecke_orbit_code': 4503599694479649, 'n': 67, 'trace_an': 1008}
  • id: 72356067
    {'hecke_orbit_code': 4503599694479649, 'n': 68, 'trace_an': 0}
  • id: 72356068
    {'hecke_orbit_code': 4503599694479649, 'n': 69, 'trace_an': 576}
  • id: 72356069
    {'hecke_orbit_code': 4503599694479649, 'n': 70, 'trace_an': -1504}
  • id: 72356070
    {'hecke_orbit_code': 4503599694479649, 'n': 71, 'trace_an': 402}
  • id: 72356071
    {'hecke_orbit_code': 4503599694479649, 'n': 72, 'trace_an': -927}
  • id: 72356072
    {'hecke_orbit_code': 4503599694479649, 'n': 73, 'trace_an': -838}
  • id: 72356073
    {'hecke_orbit_code': 4503599694479649, 'n': 74, 'trace_an': -836}
  • id: 72356074
    {'hecke_orbit_code': 4503599694479649, 'n': 75, 'trace_an': 1548}
  • id: 72356075
    {'hecke_orbit_code': 4503599694479649, 'n': 76, 'trace_an': -908}
  • id: 72356076
    {'hecke_orbit_code': 4503599694479649, 'n': 77, 'trace_an': -504}
  • id: 72356077
    {'hecke_orbit_code': 4503599694479649, 'n': 78, 'trace_an': -1308}
  • id: 72356078
    {'hecke_orbit_code': 4503599694479649, 'n': 79, 'trace_an': 594}
  • id: 72356079
    {'hecke_orbit_code': 4503599694479649, 'n': 80, 'trace_an': 40}
  • id: 72356080
    {'hecke_orbit_code': 4503599694479649, 'n': 81, 'trace_an': -505}
  • id: 72356081
    {'hecke_orbit_code': 4503599694479649, 'n': 82, 'trace_an': -358}
  • id: 72356082
    {'hecke_orbit_code': 4503599694479649, 'n': 83, 'trace_an': -2396}
  • id: 72356083
    {'hecke_orbit_code': 4503599694479649, 'n': 84, 'trace_an': -2040}
  • id: 72356084
    {'hecke_orbit_code': 4503599694479649, 'n': 85, 'trace_an': 0}
  • id: 72356085
    {'hecke_orbit_code': 4503599694479649, 'n': 86, 'trace_an': -1264}
  • id: 72356086
    {'hecke_orbit_code': 4503599694479649, 'n': 87, 'trace_an': 1428}
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