Embedded newform data - 35.10.k.a.33.20

Formats: - HTML - YAML - JSON - 2025-06-17T10:09:04.582998

• 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': 3500, 'analytic_conductor': 18.02625426573556, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 35, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 12, 'char_parity': 1, 'char_values': [35, 12, [22, 31], [9, 2]], 'cm_discs': [], 'conrey_index': 3, 'dim': 136, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 687362539555, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 3, -1, 4, 0], [1, 1, 7, 4, -1, 6, 0], [1, 1, 35, 11, 1, 12, 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': '35.10.k.a', 'level': 35, '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': True, 'level_primes': [5, 7], 'level_radical': 35, 'minimal_twist': '35.10.k.a', 'prim_orbit_index': 11, 'related_objects': [], 'relative_dim': 34, 'rm_discs': [], 'sato_tate_group': '9.2.3.c12', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '35.10.k', 'trace_display': [-2, -6, -1710, 5940], 'traces': [136, -2, -6, 0, -1710, 0, 5940, -3484, 0, 153786, -87752, 3066, 0, 0, -318872, 3132804, -1578678, -239036, 0, 0, -5745396, 2132088, 312550, 0, 4308518, 2294580, 0, -9559382, 0, 21412708, 8900220, 17154282, -13729410, 0, 6034552, -114903056, 26817310, -20958672, 0, 143985558, 0, -38052106, 46427728, 0, -96332286, 2421124, 147698754, 0, 0, -11742092, -138178540, -126665976, -16288570, 0, 0, 501495076, -71567164, -681848346, 0, 254653694, -575844240, 0, 491512776, 0, 833960586, 260439612, 22092746, -2824755312, 0, -1044240840, 355056144, 98662792, 1852831146, 0, 2937834474, 0, 1226263510, 2595615712, 0, -3778385244, 1504403888, -3707543946, 0, 0, -1726556112, 1771746456, 30331668, -1182712628, 0, 0, -4378590056, 2593806924, -4305536726, 0, 861804818, 15624596040, 0, 5117393178, 0, 6924734420, -10435250712, -6214716524, -8778612414, 0, -9079270306, -13353795552, -8207034414, 8146163154, 0, 23064072120, 0, 12512710492, 16890572112, 0, -2988054366, 7606750284, -28638248424, 0, 0, -31534060896, 5054655012, 24324273402, -2958757824, 0, 0, -30369831168, 37529517056, -14489468602, 0, 2445204212, 28186993920, 0, 17523933946, 0, 14399749172, 3750900744, -3830954486, -70936973706, 0, -24124805502, -48374679008, -7254199832, 5588629404, 0, 40835029200, 0, 26606982614, 104449968008, 0, 17505608664, 9857002132, -17742456720, 0, 0, -96544374388, -19577044040, -49824140922, -44141051596, 0, 0, 15830054900, 101000659748, -3384834798, 0, 16194915692, 45219271452, 0, 88676161502, 0, 6102169936, 71946276336, -35719456050, -88870181022, 0, -58532049736, -187120197440, 53678353102, -172725042762, 0, 239463539592, 0, -76281282832, 205087327324, 0, 162735262086, 76102785248, -22069692666, 0, 0, -383751877968, 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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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-0.011499540114845767, 0.28022025915859805, -0.34991504373553517, -0.342156689501108, 0.08849498798247549, -0.42471232738823883, -0.18732544429597925, -0.23826593286946302, -0.4800428886364936, -0.21713659167053, -0.33831547323813305, -0.20297806243788202, -0.4430413231318243, -0.05725940930595477, 0.04206576000241643, -0.175618473448318, -0.23580667036294992, -0.39290360171611904, -0.2240626927781785, -0.2180554494928083, -0.312548884979198, -0.014345565373558066, -0.35827541039925476, 0.01901033014469848, -0.27389922811689965, -0.3620791087212582, -0.35827650642606584, 0.12742767106484218, -0.2372730663226237, 0.10457185074229053, -0.40304604276815126, -0.4984702033207799, -0.3728071652899839, -0.29044242898515976, -0.1702670039966486, -0.04418544878179524, 0.1405819021331927, -0.1509445542401084, -0.261953102831125, -0.19876904573573195, -0.2750112944827532, -0.22370777244774478, 0.2526507591393276, -0.05899178215831536, -0.24590530170440233, 0.15268322276901486, -0.1032569859771627, -0.4090721311564338, -0.11850683747556351, -0.3518591699198634, -0.31405919799910653, -0.02722009845656111, 0.11509166876394865], 'char_orbit_index': 11, 'conrey_index': 33, 'dual_conrey_index': 17, 'dual_embedding_index': 20, 'dual_embedding_m': 88, 'embedding_index': 20, 'embedding_m': 122, 'hecke_orbit': 1, 'hecke_orbit_code': 687362539555, 'label': '35.10.k.a.33.20', 'level': 35, 'weight': 10}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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': 3500, 'analytic_conductor': 18.02625426573556, 'char_conductor': 35, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 12, 'char_parity': 1, 'char_values': [35, 12, [22, 31], [9, 2]], 'conrey_index': 3, 'cusp_dim': 136, 'dim': 136, 'eis_dim': 16, 'eis_new_dim': 16, 'hecke_cutter_primes': [], 'hecke_orbit_code': 687362539555, 'hecke_orbit_dims': [136], 'label': '35.10.k', 'level': 35, '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': True, 'level_primes': [5, 7], 'level_radical': 35, 'mf_dim': 152, 'mf_new_dim': 152, 'num_forms': 1, 'prim_orbit_index': 11, 'relative_dim': 34, 'sturm_bound': 40, 'trace_bound': 0, 'trace_display': [-2, -6, -1710, 5940], 'traces': [136, -2, -6, 0, -1710, 0, 5940, -3484, 0, 153786, -87752, 3066, 0, 0, -318872, 3132804, -1578678, -239036, 0, 0, -5745396, 2132088, 312550, 0, 4308518, 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-413761432434216, -434447138301912, 0, 384364495497620, 0, -116464416803578, -1421061544380804, -416685581469626, -371924273686200, 0, -815444317878960, 165911772320776, -168042388646824, -624500244440286, 0, 17829859615986, 0, -1121600418903304, -614865811973992, 0, 709469096157036, 452575383746508, 879898816248924, 0, 0, 395465967153972, 197517538537572, 960998455799574, 633639279808340, 0, 0], 'weight': 10, '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: 8762901
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 33, 'source_dim': 136, 'source_embedding_index': 20, 'source_hecke_orbit_code': 687362539555, 'source_is_minimal': True, 'source_label': '35.10.k.a.33.20', 'source_level': 35, 'target_conrey_index': 33, 'target_dim': 136, 'target_embedding_index': 20, 'target_hecke_orbit_code': 687362539555, 'target_is_minimal': True, 'target_label': '35.10.k.a.33.20', 'target_level': 35, 'twist_class_label': '35.10.k.a.3.15', 'twist_class_level': 35, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 8762902
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 33, 'source_dim': 136, 'source_embedding_index': 20, 'source_hecke_orbit_code': 687362539555, 'source_is_minimal': True, 'source_label': '35.10.k.a.33.20', 'source_level': 35, 'target_conrey_index': 12, 'target_dim': 136, 'target_embedding_index': 15, 'target_hecke_orbit_code': 687362539555, 'target_is_minimal': True, 'target_label': '35.10.k.a.12.15', 'target_level': 35, 'twist_class_label': '35.10.k.a.3.15', 'twist_class_level': 35, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 8762903
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 33, 'source_dim': 136, 'source_embedding_index': 20, 'source_hecke_orbit_code': 687362539555, 'source_is_minimal': True, 'source_label': '35.10.k.a.33.20', 'source_level': 35, 'target_conrey_index': 3, 'target_dim': 136, 'target_embedding_index': 15, 'target_hecke_orbit_code': 687362539555, 'target_is_minimal': True, 'target_label': '35.10.k.a.3.15', 'target_level': 35, 'twist_class_label': '35.10.k.a.3.15', 'twist_class_level': 35, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 8762904
    {'conductor': 35, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 33, 'source_dim': 136, 'source_embedding_index': 20, 'source_hecke_orbit_code': 687362539555, 'source_is_minimal': True, 'source_label': '35.10.k.a.33.20', 'source_level': 35, 'target_conrey_index': 17, 'target_dim': 136, 'target_embedding_index': 20, 'target_hecke_orbit_code': 687362539555, 'target_is_minimal': True, 'target_label': '35.10.k.a.17.20', 'target_level': 35, 'twist_class_label': '35.10.k.a.3.15', 'twist_class_level': 35, 'twisting_char_label': '35.17', 'twisting_conrey_index': 17, 'weight': 10}
• hecke_orbit_code 687362539555 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': 11, 'hecke_orbit': 1, 'label': '35.10.k.a', 'level': 35, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 10776468
    {'hecke_orbit_code': 687362539555, 'n': 1, 'trace_an': 136}
  • id: 10776469
    {'hecke_orbit_code': 687362539555, 'n': 2, 'trace_an': -2}
  • id: 10776470
    {'hecke_orbit_code': 687362539555, 'n': 3, 'trace_an': -6}
  • id: 10776471
    {'hecke_orbit_code': 687362539555, 'n': 4, 'trace_an': 0}
  • id: 10776472
    {'hecke_orbit_code': 687362539555, 'n': 5, 'trace_an': -1710}
  • id: 10776473
    {'hecke_orbit_code': 687362539555, 'n': 6, 'trace_an': 0}
  • id: 10776474
    {'hecke_orbit_code': 687362539555, 'n': 7, 'trace_an': 5940}
  • id: 10776475
    {'hecke_orbit_code': 687362539555, 'n': 8, 'trace_an': -3484}
  • id: 10776476
    {'hecke_orbit_code': 687362539555, 'n': 9, 'trace_an': 0}
  • id: 10776477
    {'hecke_orbit_code': 687362539555, 'n': 10, 'trace_an': 153786}
  • id: 10776478
    {'hecke_orbit_code': 687362539555, 'n': 11, 'trace_an': -87752}
  • id: 10776479
    {'hecke_orbit_code': 687362539555, 'n': 12, 'trace_an': 3066}
  • id: 10776480
    {'hecke_orbit_code': 687362539555, 'n': 13, 'trace_an': 0}
  • id: 10776481
    {'hecke_orbit_code': 687362539555, 'n': 14, 'trace_an': 0}
  • id: 10776482
    {'hecke_orbit_code': 687362539555, 'n': 15, 'trace_an': -318872}
  • id: 10776483
    {'hecke_orbit_code': 687362539555, 'n': 16, 'trace_an': 3132804}
  • id: 10776484
    {'hecke_orbit_code': 687362539555, 'n': 17, 'trace_an': -1578678}
  • id: 10776485
    {'hecke_orbit_code': 687362539555, 'n': 18, 'trace_an': -239036}
  • id: 10776486
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