Embedded newform data - 637.6.a.b.1.1

Formats: - HTML - YAML - JSON - 2024-06-17T13:47:18.203842

• 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': 22932, 'analytic_conductor': 102.16449322086866, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[7, -1], [13, 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': [637, 1, [248, 197], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 168897, 'field_disc_factorization': [[3, 1], [56299, 1]], 'field_poly': [256, -100, -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': [[2, [444, -84, -7, 1]], [3, [-2196, -237, 8, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599728034429, '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': '637.6.a.b', 'level': 637, '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': [7, 13], 'level_radical': 91, 'minimal_twist': '13.6.a.b', 'nf_label': '3.3.168897.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(2+\\beta _{1})q^{2}+(-3+\\beta _{1}+\\beta _{2})q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '637.6.a', 'trace_display': [7, -8, -56, 0], 'trace_hash': 1357236259930572407, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.041', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.875', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.129', 'prec': 17}, {'__RealLiteral__': 0, 'data': '21.732', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.111', 'prec': 17}, {'__RealLiteral__': 0, 'data': '244.929', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [3, 7, -8, 121, -56, 199, 0, 327, -191, 1291, 556, 1091, -507, 0, 1972, 2785, -908, 976, -148, 767, 0, -3410, 3624, 13377, 2023, -1183, 4276, 0, -8758, 1717, 2608, 34871, 1828, -15989, 0, -4678, -20632, -33786, 1352, 43509, 10998, 0, 2032, 49790, 13918, -3408, -34260, 76223, 0, -65038, 13468, -20449, -12570, -55595, -35312, 0, 1716, -19126, -63948, 110465, 12754, 40340, 0, 117393, 9464, 112354, 56132, 49175, 20112, 0, 77580, 28794, 43026, -131519, -23548, 99638, 0, -33631, -61872, 264683, -108221, -142260, -98092, 0, -55226, -69897, -139072, 158010, -33694, -101258, 0, 300864, 105392, -72843, -196560, 243641, -76334, 0, -60332, 218256, 180834, 175069, 140936, -55263, 0, 172236, 56724, -203743, -270784, 620146, 82132, 0, 152454, 304362, 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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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-0.09443808411278248, -0.11460922237837577, -0.08488309022081213, -0.2668613387552111, -0.05779136618011889, -0.313652679767887, -0.27004463290382424, -0.24558625773207302, -0.3204267081816825, -0.22764991811369342, -0.32320562140810566, -0.19117493265582816], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': -10.648577072030069, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599728034429, 'label': '637.6.a.b.1.1', 'level': 637, 'weight': 6}
• 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': [49, 51, 54, 51], 'Nk2': 22932, 'analytic_conductor': 102.16449322086866, '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': [637, 1, [248, 197], [1, 1]], 'conrey_index': 1, 'cusp_dim': 320, 'dim': 205, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 3], 'hecke_orbit_code': 100663933, 'hecke_orbit_dims': [2, 3, 6, 7, 8, 9, 15, 15, 19, 19, 21, 21, 30, 30], 'label': '637.6.a', 'level': 637, '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': [7, 13], 'level_radical': 91, 'mf_dim': 336, 'mf_new_dim': 205, 'num_forms': 14, 'plus_dim': 100, 'prim_orbit_index': 1, 'relative_dim': 205, 'sturm_bound': 392, 'trace_bound': 5, 'trace_display': [6, -20, -130, 0], 'traces': [205, 6, -20, 3322, -130, -164, 0, -168, 16981, 1214, 1704, 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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: 34410092
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599728034429, 'source_is_minimal': False, 'source_label': '637.6.a.b.1.1', 'source_level': 637, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599728034429, 'target_is_minimal': False, 'target_label': '637.6.a.b.1.1', 'target_level': 637, 'twist_class_label': '13.6.a.b.1.1', 'twist_class_level': 13, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 34410093
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599728034429, 'source_is_minimal': False, 'source_label': '637.6.a.b.1.1', 'source_level': 637, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599728033805, 'target_is_minimal': True, 'target_label': '13.6.a.b.1.1', 'target_level': 13, 'twist_class_label': '13.6.a.b.1.1', 'twist_class_level': 13, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 6}
  • id: 34410094
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599728034429, 'source_is_minimal': False, 'source_label': '637.6.a.b.1.1', 'source_level': 637, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13510798982774901, 'target_is_minimal': False, 'target_label': '117.6.a.d.1.3', 'target_level': 117, 'twist_class_label': '13.6.a.b.1.1', 'twist_class_level': 13, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 6}
  • id: 34410095
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599728034429, 'source_is_minimal': False, 'source_label': '637.6.a.b.1.1', 'source_level': 637, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40532396746997968, 'target_is_minimal': False, 'target_label': '208.6.a.j.1.2', 'target_level': 208, 'twist_class_label': '13.6.a.b.1.1', 'twist_class_level': 13, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 6}
  • id: 34410096
    {'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599728034429, 'source_is_minimal': False, 'source_label': '637.6.a.b.1.1', 'source_level': 637, 'target_conrey_index': 274, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 9007268074881349, 'target_is_minimal': False, 'target_label': '325.6.b.c.274.5', 'target_level': 325, 'twist_class_label': '13.6.a.b.1.1', 'twist_class_level': 13, 'twisting_char_label': '35.13', 'twisting_conrey_index': 13, 'weight': 6}
  • id: 34410097
    {'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599728034429, 'source_is_minimal': False, 'source_label': '637.6.a.b.1.1', 'source_level': 637, 'target_conrey_index': 274, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268074881349, 'target_is_minimal': False, 'target_label': '325.6.b.c.274.2', 'target_level': 325, 'twist_class_label': '13.6.a.b.1.1', 'twist_class_level': 13, 'twisting_char_label': '35.27', 'twisting_conrey_index': 27, 'weight': 6}
  • id: 34410098
    {'conductor': 35, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599728034429, 'source_is_minimal': False, 'source_label': '637.6.a.b.1.1', 'source_level': 637, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007199355404613, 'target_is_minimal': False, 'target_label': '325.6.a.c.1.3', 'target_level': 325, 'twist_class_label': '13.6.a.b.1.1', 'twist_class_level': 13, 'twisting_char_label': '35.34', 'twisting_conrey_index': 34, 'weight': 6}
  • id: 34410099
    {'conductor': 56, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599728034429, 'source_is_minimal': False, 'source_label': '637.6.a.b.1.1', 'source_level': 637, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 81064793393333056, 'target_is_minimal': False, 'target_label': '832.6.a.s.1.2', 'target_level': 832, 'twist_class_label': '13.6.a.b.1.1', 'twist_class_level': 13, 'twisting_char_label': '56.13', 'twisting_conrey_index': 13, 'weight': 6}
  • id: 34410100
    {'conductor': 56, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599728034429, 'source_is_minimal': False, 'source_label': '637.6.a.b.1.1', 'source_level': 637, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 85568393020703552, 'target_is_minimal': False, 'target_label': '832.6.a.t.1.2', 'target_level': 832, 'twist_class_label': '13.6.a.b.1.1', 'twist_class_level': 13, 'twisting_char_label': '56.27', 'twisting_conrey_index': 27, 'weight': 6}
  • id: 34410101
    {'conductor': 91, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599728034429, 'source_is_minimal': False, 'source_label': '637.6.a.b.1.1', 'source_level': 637, 'target_conrey_index': 168, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503668447510697, 'target_is_minimal': False, 'target_label': '169.6.b.b.168.2', 'target_level': 169, 'twist_class_label': '13.6.a.b.1.1', 'twist_class_level': 13, 'twisting_char_label': '91.34', 'twisting_conrey_index': 34, 'weight': 6}
  • id: 34410102
    {'conductor': 91, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599728034429, 'source_is_minimal': False, 'source_label': '637.6.a.b.1.1', 'source_level': 637, 'target_conrey_index': 168, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 4503668447510697, 'target_is_minimal': False, 'target_label': '169.6.b.b.168.5', 'target_level': 169, 'twist_class_label': '13.6.a.b.1.1', 'twist_class_level': 13, 'twisting_char_label': '91.83', 'twisting_conrey_index': 83, 'weight': 6}
  • id: 34410103
    {'conductor': 91, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599728034429, 'source_is_minimal': False, 'source_label': '637.6.a.b.1.1', 'source_level': 637, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4503599728033961, 'target_is_minimal': False, 'target_label': '169.6.a.b.1.3', 'target_level': 169, 'twist_class_label': '13.6.a.b.1.1', 'twist_class_level': 13, 'twisting_char_label': '91.90', 'twisting_conrey_index': 90, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1149275
    {'charpoly_factorization': [[[444, -84, -7, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 2}
  • id: 1149276
    {'charpoly_factorization': [[[-2196, -237, 8, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 3}
  • id: 1149277
    {'charpoly_factorization': [[[-73386, -4131, 56, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 5}
  • id: 1149278
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 4503599728034429, 'p': 7}
  • id: 1149279
    {'charpoly_factorization': [[[39698256, -78420, -556, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 11}
  • id: 1149280
    {'charpoly_factorization': [[[169, 1], 3]], 'hecke_orbit_code': 4503599728034429, 'p': 13}
  • id: 1149281
    {'charpoly_factorization': [[[-77884638, -1417827, 908, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 17}
  • id: 1149282
    {'charpoly_factorization': [[[-1415854512, -5297972, 148, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 19}
  • id: 1149283
    {'charpoly_factorization': [[[5045833728, 786048, -3624, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 23}
  • id: 1149284
    {'charpoly_factorization': [[[-221025174456, -22280052, 8758, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 29}
  • id: 1149285
    {'charpoly_factorization': [[[1607044480, -10731952, -2608, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 31}
  • id: 1149286
    {'charpoly_factorization': [[[46212896426, 99943613, 20632, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 37}
  • id: 1149287
    {'charpoly_factorization': [[[-29456898048, -38709120, -10998, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 41}
  • id: 1149288
    {'charpoly_factorization': [[[281385762060, -80653829, -2032, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 43}
  • id: 1149289
    {'charpoly_factorization': [[[696870885384, 299766555, 34260, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 47}
  • id: 1149290
    {'charpoly_factorization': [[[-4415410372608, -699425280, 12570, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 53}
  • id: 1149291
    {'charpoly_factorization': [[[1932677407728, 1046124780, 63948, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 59}
  • id: 1149292
    {'charpoly_factorization': [[[18650455523968, -1152934528, -12754, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 61}
  • id: 1149293
    {'charpoly_factorization': [[[2080268535536, 481597100, -56132, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 67}
  • id: 1149294
    {'charpoly_factorization': [[[37395101110464, 620949795, -77580, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 71}
  • id: 1149295
    {'charpoly_factorization': [[[-5649650834008, -1169104212, -43026, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 73}
  • id: 1149296
    {'charpoly_factorization': [[[-2044988893184, -1519042752, 61872, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 79}
  • id: 1149297
    {'charpoly_factorization': [[[-17971240920768, -1863905040, 98092, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 83}
  • id: 1149298
    {'charpoly_factorization': [[[28887869991912, -7596222420, 33694, 1], 1]], 'hecke_orbit_code': 4503599728034429, 'p': 89}
  • id: 1149299
    {'charpoly_factorization': [[[12102379894216, 1723377980, 76334, 1], 1]], 'hecke_orbit_code': 4503599728034429, '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': '637.6.a.b', 'level': 637, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 19400634
    {'hecke_orbit_code': 4503599728034429, 'n': 1, 'trace_an': 3}
  • id: 19400635
    {'hecke_orbit_code': 4503599728034429, 'n': 2, 'trace_an': 7}
  • id: 19400636
    {'hecke_orbit_code': 4503599728034429, 'n': 3, 'trace_an': -8}
  • id: 19400637
    {'hecke_orbit_code': 4503599728034429, 'n': 4, 'trace_an': 121}
  • id: 19400638
    {'hecke_orbit_code': 4503599728034429, 'n': 5, 'trace_an': -56}
  • id: 19400639
    {'hecke_orbit_code': 4503599728034429, 'n': 6, 'trace_an': 199}
  • id: 19400640
    {'hecke_orbit_code': 4503599728034429, 'n': 7, 'trace_an': 0}
  • id: 19400641
    {'hecke_orbit_code': 4503599728034429, 'n': 8, 'trace_an': 327}
  • id: 19400642
    {'hecke_orbit_code': 4503599728034429, 'n': 9, 'trace_an': -191}
  • id: 19400643
    {'hecke_orbit_code': 4503599728034429, 'n': 10, 'trace_an': 1291}
  • id: 19400644
    {'hecke_orbit_code': 4503599728034429, 'n': 11, 'trace_an': 556}
  • id: 19400645
    {'hecke_orbit_code': 4503599728034429, 'n': 12, 'trace_an': 1091}
  • id: 19400646
    {'hecke_orbit_code': 4503599728034429, 'n': 13, 'trace_an': -507}
  • id: 19400647
    {'hecke_orbit_code': 4503599728034429, 'n': 14, 'trace_an': 0}
  • id: 19400648
    {'hecke_orbit_code': 4503599728034429, 'n': 15, 'trace_an': 1972}
  • id: 19400649
    {'hecke_orbit_code': 4503599728034429, 'n': 16, 'trace_an': 2785}
  • id: 19400650
    {'hecke_orbit_code': 4503599728034429, 'n': 17, 'trace_an': -908}
  • id: 19400651
    {'hecke_orbit_code': 4503599728034429, 'n': 18, 'trace_an': 976}
  • id: 19400652
    {'hecke_orbit_code': 4503599728034429, 'n': 19, 'trace_an': -148}
  • id: 19400653
    {'hecke_orbit_code': 4503599728034429, 'n': 20, 'trace_an': 767}
  • id: 19400654
    {'hecke_orbit_code': 4503599728034429, 'n': 21, 'trace_an': 0}
  • id: 19400655
    {'hecke_orbit_code': 4503599728034429, 'n': 22, 'trace_an': -3410}
  • id: 19400656
    {'hecke_orbit_code': 4503599728034429, 'n': 23, 'trace_an': 3624}
  • id: 19400657
    {'hecke_orbit_code': 4503599728034429, 'n': 24, 'trace_an': 13377}
  • id: 19400658
    {'hecke_orbit_code': 4503599728034429, 'n': 25, 'trace_an': 2023}
  • id: 19400659
    {'hecke_orbit_code': 4503599728034429, 'n': 26, 'trace_an': -1183}
  • id: 19400660
    {'hecke_orbit_code': 4503599728034429, 'n': 27, 'trace_an': 4276}
  • id: 19400661
    {'hecke_orbit_code': 4503599728034429, 'n': 28, 'trace_an': 0}
  • id: 19400662
    {'hecke_orbit_code': 4503599728034429, 'n': 29, 'trace_an': -8758}
  • id: 19400663
    {'hecke_orbit_code': 4503599728034429, 'n': 30, 'trace_an': 1717}
  • id: 19400664
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  • id: 19400869
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  • id: 19400870
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  • id: 19400871
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  • id: 19400873
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  • id: 19400875
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  • id: 19400876
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  • id: 19400877
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  • id: 19400878
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  • id: 19400879
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  • id: 19400881
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  • id: 19400882
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  • id: 19400883
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  • id: 19400884
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  • id: 19400885
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  • id: 19400886
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  • id: 19400887
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  • id: 19400888
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  • id: 19400889
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  • id: 19400890
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  • id: 19400891
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