Embedded newform data - 27.10.e.a.4.13

Formats: - HTML - YAML - JSON - 2025-05-16T11:06:59.415683

• 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': 2700, 'analytic_conductor': 13.905967576424574, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 27, 'char_degree': 6, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 9, 'char_parity': 1, 'char_values': [27, 9, [2], [1]], 'cm_discs': [], 'conrey_index': 4, 'dim': 156, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 275045679131, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 27, 5, 1, 9, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '27.10.e.a', 'level': 27, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3], 'level_radical': 3, 'minimal_twist': '27.10.e.a', 'prim_orbit_index': 5, 'related_objects': [], 'relative_dim': 26, 'rm_discs': [], 'sato_tate_group': '9.2.3.c9', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '27.10.e', 'trace_display': [-6, -6, 2382, -6], 'traces': [156, -6, -6, -6, 2382, -6822, -6, 36861, 2538, -3, -121767, 319935, -6, -720417, -706356, 1530, 1002249, 922437, -3, -8448573, -3497394, -1585014, 9316482, 7959258, 2192178, -33129678, -3148155, -12, 19657236, 21174507, -4633692, -37550952, -19055889, 14341770, 34449663, 137733552, -3, -92022060, -89330160, 6645801, -33127221, 227141658, 2356203, 1001541, -78992532, -3, -33488952, 248865393, -93214644, -72027753, -101541537, 160531713, 4841352, -315431874, -12, -91770981, -103852992, -320682489, 538090854, 1127571210, 36683436, -55862958, -419972706, -956301315, -852347310, 472205277, -109026897, -508886217, -1234413090, -815297649, 940878639, 2831326452, -221849931, 838884579, -226667796, 908401146, -967811358, -1247881230, -1228059150, -2497115154, -392600970, -12, -297703284, 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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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-0.4250048180633787, 0.03970650597369719, -0.3034347955576155], 'char_orbit_index': 5, 'conrey_index': 4, 'dual_conrey_index': 7, 'dual_embedding_index': 13, 'dual_embedding_m': 39, 'embedding_index': 13, 'embedding_m': 13, 'hecke_orbit': 1, 'hecke_orbit_code': 275045679131, 'label': '27.10.e.a.4.13', 'level': 27, 'weight': 10}
• 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

  
  {'Nk2': 2700, 'analytic_conductor': 13.905967576424574, 'char_conductor': 27, 'char_degree': 6, 'char_is_real': False, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 9, 'char_parity': 1, 'char_values': [27, 9, [2], [1]], 'conrey_index': 4, 'cusp_dim': 156, 'dim': 156, 'eis_dim': 12, 'eis_new_dim': 12, 'hecke_cutter_primes': [], 'hecke_orbit_code': 275045679131, 'hecke_orbit_dims': [156], 'label': '27.10.e', 'level': 27, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3], 'level_radical': 3, 'mf_dim': 168, 'mf_new_dim': 168, 'num_forms': 1, 'prim_orbit_index': 5, 'relative_dim': 26, 'sturm_bound': 30, 'trace_bound': 0, 'trace_display': [-6, -6, 2382, -6], 'traces': [156, -6, -6, -6, 2382, -6822, -6, 36861, 2538, -3, -121767, 319935, -6, -720417, -706356, 1530, 1002249, 922437, -3, -8448573, -3497394, -1585014, 9316482, 7959258, 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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: 3068219
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 4, 'source_dim': 156, 'source_embedding_index': 13, 'source_hecke_orbit_code': 275045679131, 'source_is_minimal': True, 'source_label': '27.10.e.a.4.13', 'source_level': 27, 'target_conrey_index': 4, 'target_dim': 156, 'target_embedding_index': 13, 'target_hecke_orbit_code': 275045679131, 'target_is_minimal': True, 'target_label': '27.10.e.a.4.13', 'target_level': 27, 'twist_class_label': '27.10.e.a.4.13', 'twist_class_level': 27, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 3068220
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 4, 'source_dim': 156, 'source_embedding_index': 13, 'source_hecke_orbit_code': 275045679131, 'source_is_minimal': True, 'source_label': '27.10.e.a.4.13', 'source_level': 27, 'target_conrey_index': 64, 'target_dim': 156, 'target_embedding_index': 14, 'target_hecke_orbit_code': 275045679185, 'target_is_minimal': False, 'target_label': '81.10.e.a.64.14', 'target_level': 81, 'twist_class_label': '27.10.e.a.4.13', 'twist_class_level': 27, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 3068221
    {'conductor': 27, 'degree': 6, 'order': 9, 'parity': 1, 'source_conrey_index': 4, 'source_dim': 156, 'source_embedding_index': 13, 'source_hecke_orbit_code': 275045679131, 'source_is_minimal': True, 'source_label': '27.10.e.a.4.13', 'source_level': 27, 'target_conrey_index': 7, 'target_dim': 156, 'target_embedding_index': 13, 'target_hecke_orbit_code': 275045679131, 'target_is_minimal': True, 'target_label': '27.10.e.a.7.13', 'target_level': 27, 'twist_class_label': '27.10.e.a.4.13', 'twist_class_level': 27, 'twisting_char_label': '27.7', 'twisting_conrey_index': 7, 'weight': 10}
  • id: 3068222
    {'conductor': 27, 'degree': 6, 'order': 18, 'parity': -1, 'source_conrey_index': 4, 'source_dim': 156, 'source_embedding_index': 13, 'source_hecke_orbit_code': 275045679131, 'source_is_minimal': True, 'source_label': '27.10.e.a.4.13', 'source_level': 27, 'target_conrey_index': 19, 'target_dim': 156, 'target_embedding_index': 14, 'target_hecke_orbit_code': 275045679185, 'target_is_minimal': False, 'target_label': '81.10.e.a.19.14', 'target_level': 81, 'twist_class_label': '27.10.e.a.4.13', 'twist_class_level': 27, 'twisting_char_label': '27.20', 'twisting_conrey_index': 20, 'weight': 10}
• hecke_orbit_code 275045679131 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 5, 'hecke_orbit': 1, 'label': '27.10.e.a', 'level': 27, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 7938468
    {'hecke_orbit_code': 275045679131, 'n': 1, 'trace_an': 156}
  • id: 7938469
    {'hecke_orbit_code': 275045679131, 'n': 2, 'trace_an': -6}
  • id: 7938470
    {'hecke_orbit_code': 275045679131, 'n': 3, 'trace_an': -6}
  • id: 7938471
    {'hecke_orbit_code': 275045679131, 'n': 4, 'trace_an': -6}
  • id: 7938472
    {'hecke_orbit_code': 275045679131, 'n': 5, 'trace_an': 2382}
  • id: 7938473
    {'hecke_orbit_code': 275045679131, 'n': 6, 'trace_an': -6822}
  • id: 7938474
    {'hecke_orbit_code': 275045679131, 'n': 7, 'trace_an': -6}
  • id: 7938475
    {'hecke_orbit_code': 275045679131, 'n': 8, 'trace_an': 36861}
  • id: 7938476
    {'hecke_orbit_code': 275045679131, 'n': 9, 'trace_an': 2538}
  • id: 7938477
    {'hecke_orbit_code': 275045679131, 'n': 10, 'trace_an': -3}
  • id: 7938478
    {'hecke_orbit_code': 275045679131, 'n': 11, 'trace_an': -121767}
  • id: 7938479
    {'hecke_orbit_code': 275045679131, 'n': 12, 'trace_an': 319935}
  • id: 7938480
    {'hecke_orbit_code': 275045679131, 'n': 13, 'trace_an': -6}
  • id: 7938481
    {'hecke_orbit_code': 275045679131, 'n': 14, 'trace_an': -720417}
  • id: 7938482
    {'hecke_orbit_code': 275045679131, 'n': 15, 'trace_an': -706356}
  • id: 7938483
    {'hecke_orbit_code': 275045679131, 'n': 16, 'trace_an': 1530}
  • id: 7938484
    {'hecke_orbit_code': 275045679131, 'n': 17, 'trace_an': 1002249}
  • id: 7938485
    {'hecke_orbit_code': 275045679131, 'n': 18, 'trace_an': 922437}
  • id: 7938486
    {'hecke_orbit_code': 275045679131, 'n': 19, 'trace_an': -3}
  • id: 7938487
    {'hecke_orbit_code': 275045679131, 'n': 20, 'trace_an': -8448573}
  • id: 7938488
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  • id: 7938684
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  • id: 7938685
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  • id: 7938686
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  • id: 7938687
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  • id: 7938688
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  • id: 7938689
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  • id: 7938691
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  • id: 7938694
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  • id: 7938695
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  • id: 7938696
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  • id: 7938697
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  • id: 7938698
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  • id: 7938699
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  • id: 7938700
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  • id: 7938701
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  • id: 7938702
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  • id: 7938703
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  • id: 7938704
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  • id: 7938705
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  • id: 7938706
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  • id: 7938707
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  • id: 7938708
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  • id: 7938710
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  • id: 7938711
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  • id: 7938712
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  • id: 7938713
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  • id: 7938714
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  • id: 7938715
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  • id: 7938716
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  • id: 7938717
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  • id: 7938718
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  • id: 7938719
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  • id: 7938720
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  • id: 7938721
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  • id: 7938722
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  • id: 7938723
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  • id: 7938724
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  • id: 7938725
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