Newform data - 729.6.a.b

Formats: - HTML - YAML - JSON - 2026-01-31T17:22:29.522607

• 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': 26244, 'analytic_conductor': 116.91980464366289, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -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': [729, 1, [2], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 24, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599728034521, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '729.6.a.b', 'level': 729, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3], 'level_radical': 3, 'minimal_twist': '729.6.a.a', 'prim_orbit_index': 1, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '729.6.a', 'trace_display': [12, 0, 33, 294], 'traces': [24, 12, 0, 432, 33, 0, 294, 843, 0, 600, 30, 0, 1014, -3720, 0, 8448, -2709, 0, 4332, 861, 0, -2193, 4020, 0, 15417, 17574, 0, 4539, -15279, 0, 17331, 43983, 0, 20412, 2514, 0, 11397, 78873, 0, 52185, -31566, 0, 34422, -63213, 0, 62907, 507, 0, 104106, 64929, 0, 99237, 72297, 0, 106611, -213900, 0, 107733, 59226, 0, 112452, 32100, 0, 287115, 117795, 0, 86055, -439146, 0, 208623, 34992, 0, 89580, 114360, 0, 302031, 87639, 0, 225600, -122331, 0, 74526, -141234, 0, -9900, 336804, 0, 209895, -236637, 0, 24354, 191454, 0, 256080, -254139, 0, 39363, 944667, 0, 468858, 483924, 0, 178728, 1064172, 0, 437076, -100692, 0, 179490, -695952, 0, 364245, -114231, 0, 313779, -747879, 0, 569346, -965430, 0, 628038, -833160, 0, 801498, 2116461, 0, 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-1513577856, 0, 65212800, -1934059053, 0, 1941233544, -3549808650, 0, -979957848, -1750431630, 0, -3172940205, 75454293, 0, 4762964187, 2510447388, 0, 1648484262, -2062626981, 0, 753344628, -2485245039, 0, -1132918353, -1717348773, 0, -6744784014, -846349344, 0, 1575075495, 1736362383, 0, 368356854, -4420894653, 0, 1151923680, -2415347886, 0, -237745725, -881542020, 0, 1939249452, -501657270, 0, 3877512066, 1192336989, 0, -415371414, -1869249159, 0, 2220767676, -574485585, 0, 2920181466, -5993506620, 0, -3811027161, 2733921849, 0], 'weight': 6, 'weight_parity': 1}
• label 729.6.a.b does not appear in mf_hecke_nf
• 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

  
  {'ALdims': [84, 90], 'ALdims_eis_new': [6, 6], 'ALdims_eis_old': [12, 12], 'ALdims_old': [105, 108], 'Nk2': 26244, 'analytic_conductor': 116.91980464366289, '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': [729, 1, [2], [1]], 'conrey_index': 1, 'cusp_dim': 387, 'dim': 174, 'eis_dim': 36, 'eis_new_dim': 12, 'hecke_orbit_code': 100664025, 'hecke_orbit_dims': [24, 24, 42, 42, 42], 'label': '729.6.a', 'level': 729, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3], 'level_radical': 3, 'mf_dim': 423, 'mf_new_dim': 186, 'num_forms': 5, 'plus_dim': 84, 'prim_orbit_index': 1, 'relative_dim': 174, 'sturm_bound': 486, 'trace_bound': 2, 'trace_display': [0, 0, 0, 0], 'traces': [174, 0, 0, 2688, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 39936, 0, 0, 6, 0, 0, 192, 0, 0, 93750, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 192, 0, 0, 0, 0, 0, 6, 0, 0, 331338, 0, 0, 6144, 0, 0, -12, 0, 0, -384, 0, 0, 63702, 0, 0, 540678, 0, 0, 1602, 0, 0, 18750, 0, 0, -54012, 0, 0, 192, 0, 0, 0, 0, 0, -310836, 0, 0, -183654, 0, 0, 6144, 0, 0, -181992, 0, 0, 192, 0, 0, 276426, 0, 0, 1200006, 0, 0, -234918, 0, 0, 570456, 0, 0, -12, 0, 0, 100458, 0, 0, 18750, 0, 0, 6, 0, 0, 1669074, 0, 0, -12288, 0, 0, 6, 0, 0, 1140888, 0, 0, -253818, 0, 0, 196596, 0, 0, 0, 0, 0, -2131812, 0, 0, 1339152, 0, 0, -1234140, 0, 0, -187398, 0, 0, -375726, 0, 0, 0, 0, 0, -31356, 0, 0, 1329954, 0, 0, 1071192, 0, 0, 2913222, 0, 0, 1966794, 0, 0, 100842, 0, 0, 86616, 0, 0, 1319712, 0, 0, 3334260, 0, 0, -601074, 0, 0, 599988, 0, 0, 194382, 0, 0, 3694080, 0, 0, 6, 0, 0, 985368, 0, 0, 18750, 0, 0, 196614, 0, 0, -2221074, 0, 0, 6071868, 0, 0, 555090, 0, 0, 965922, 0, 0, 2649294, 0, 0, -3075618, 0, 0, 1938114, 0, 0, 7235700, 0, 0, 1246380, 0, 0, -201492, 0, 0, 0, 0, 0, 4076916, 0, 0, 3557448, 0, 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0, -62976054, 0, 0, 64393482, 0, 0, -127164180, 0, 0, 4516782, 0, 0, -115029852, 0, 0, 16068048, 0, 0, -104009790, 0, 0, -8318178, 0, 0, -16731684, 0, 0, 66975486, 0, 0, 63837984, 0, 0, -47753862, 0, 0, -67635318, 0, 0, -32940558, 0, 0, 51423360, 0, 0, 42230382, 0, 0, -44637612, 0, 0, 42286698, 0, 0, -76721730, 0, 0, 30403032, 0, 0, -25700880, 0, 0, 71685438, 0, 0, 50354496, 0, 0, 91319778, 0, 0, -145907886, 0, 0, 18531018, 0, 0, 14010384, 0, 0, 53852772, 0, 0, -177863370, 0, 0, 54059940, 0, 0, 3764358, 0, 0, 47555688, 0, 0, 42686676, 0, 0, 44955546, 0, 0, 30817020, 0, 0, 66877740, 0, 0, -56008860, 0, 0, -54254988, 0, 0, 145314378, 0, 0, 31590546, 0, 0, -178209450, 0, 0, -44917998, 0, 0, -45889830, 0, 0, 22874940, 0, 0, -35822370, 0, 0, -37507296, 0, 0, 132171612, 0, 0, 165885498, 0, 0, -96105414, 0, 0, -47137302, 0, 0, -107531382, 0, 0, -62483232, 0, 0, -20113296, 0, 0, 1766340, 0, 0, 158141424, 0, 0, 117553716, 0, 0, 134312646, 0, 0, -9218982, 0, 0, 124101048, 0, 0, -10432260, 0, 0, 113985582, 0, 0, -7777452, 0, 0, -80917230, 0, 0, -139969092, 0, 0, -133770558, 0, 0, -42981480, 0, 0, 84706302, 0, 0, 201067110, 0, 0, -110773536, 0, 0, 15936378, 0, 0, 70867224, 0, 0, -98690100, 0, 0, 294002880, 0, 0, -33291174, 0, 0, -267571740, 0, 0, -32892474, 0, 0, 88557894, 0, 0, 115572888, 0, 0, 187984530, 0, 0, -58580280, 0, 0, 17109576, 0, 0, -184185966, 0, 0, 303088662, 0, 0, -86106648, 0, 0, -63880062, 0, 0, -76029732, 0, 0, 20491350, 0, 0, -70447206, 0, 0, -236931882, 0, 0, 21309030, 0, 0, 169554804, 0, 0, 163797336, 0, 0, -134990820, 0, 0, -45413784, 0, 0, -140015220, 0, 0, 140961816, 0, 0, 92530662, 0, 0, -42151506, 0, 0, 124045440, 0, 0, -32323944, 0, 0, -226525632, 0, 0, 127554276, 0, 0, 90986184, 0, 0, 112982964, 0, 0, 280712196, 0, 0, -118904484, 0, 0, 41368128, 0, 0, 21857646, 0, 0, -6663180, 0, 0, -103841622, 0, 0, 237483486, 0, 0, 52730142, 0, 0, 228565722, 0, 0, -6953658, 0, 0, 213297036, 0, 0, 348062166, 0, 0, 276596184, 0, 0, 168312408, 0, 0, 169368192, 0, 0, 189249534, 0, 0, 168074736, 0, 0, 147641184, 0, 0, 144513390, 0, 0, 57599304, 0, 0, 138211038, 0, 0, 126883620, 0, 0, -207736500], 'weight': 6, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 473869
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 24, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '729.6.a.b', 'source_level': 729, 'target_char_orbit': 1, 'target_dim': 24, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '729.6.a.a', 'target_level': 729, 'twist_class_label': '729.6.a.a', 'twist_class_level': 729, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 6}
  • id: 473870
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 24, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '729.6.a.b', 'source_level': 729, 'target_char_orbit': 1, 'target_dim': 24, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '729.6.a.b', 'target_level': 729, 'twist_class_label': '729.6.a.a', 'twist_class_level': 729, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 6}
• hecke_orbit_code 4503599728034521 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': 1, 'hecke_orbit': 2, 'label': '729.6.a.b', 'level': 729, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 19424370
    {'hecke_orbit_code': 4503599728034521, 'n': 1, 'trace_an': 24}
  • id: 19424371
    {'hecke_orbit_code': 4503599728034521, 'n': 2, 'trace_an': 12}
  • id: 19424372
    {'hecke_orbit_code': 4503599728034521, 'n': 3, 'trace_an': 0}
  • id: 19424373
    {'hecke_orbit_code': 4503599728034521, 'n': 4, 'trace_an': 432}
  • id: 19424374
    {'hecke_orbit_code': 4503599728034521, 'n': 5, 'trace_an': 33}
  • id: 19424375
    {'hecke_orbit_code': 4503599728034521, 'n': 6, 'trace_an': 0}
  • id: 19424376
    {'hecke_orbit_code': 4503599728034521, 'n': 7, 'trace_an': 294}
  • id: 19424377
    {'hecke_orbit_code': 4503599728034521, 'n': 8, 'trace_an': 843}
  • id: 19424378
    {'hecke_orbit_code': 4503599728034521, 'n': 9, 'trace_an': 0}
  • id: 19424379
    {'hecke_orbit_code': 4503599728034521, 'n': 10, 'trace_an': 600}
  • id: 19424380
    {'hecke_orbit_code': 4503599728034521, 'n': 11, 'trace_an': 30}
  • id: 19424381
    {'hecke_orbit_code': 4503599728034521, 'n': 12, 'trace_an': 0}
  • id: 19424382
    {'hecke_orbit_code': 4503599728034521, 'n': 13, 'trace_an': 1014}
  • id: 19424383
    {'hecke_orbit_code': 4503599728034521, 'n': 14, 'trace_an': -3720}
  • id: 19424384
    {'hecke_orbit_code': 4503599728034521, 'n': 15, 'trace_an': 0}
  • id: 19424385
    {'hecke_orbit_code': 4503599728034521, 'n': 16, 'trace_an': 8448}
  • id: 19424386
    {'hecke_orbit_code': 4503599728034521, 'n': 17, 'trace_an': -2709}
  • id: 19424387
    {'hecke_orbit_code': 4503599728034521, 'n': 18, 'trace_an': 0}
  • id: 19424388
    {'hecke_orbit_code': 4503599728034521, 'n': 19, 'trace_an': 4332}
  • id: 19424389
    {'hecke_orbit_code': 4503599728034521, 'n': 20, 'trace_an': 861}
  • id: 19424390
    {'hecke_orbit_code': 4503599728034521, 'n': 21, 'trace_an': 0}
  • id: 19424391
    {'hecke_orbit_code': 4503599728034521, 'n': 22, 'trace_an': -2193}
  • id: 19424392
    {'hecke_orbit_code': 4503599728034521, 'n': 23, 'trace_an': 4020}
  • id: 19424393
    {'hecke_orbit_code': 4503599728034521, 'n': 24, 'trace_an': 0}
  • id: 19424394
    {'hecke_orbit_code': 4503599728034521, 'n': 25, 'trace_an': 15417}
  • id: 19424395
    {'hecke_orbit_code': 4503599728034521, 'n': 26, 'trace_an': 17574}
  • id: 19424396
    {'hecke_orbit_code': 4503599728034521, 'n': 27, 'trace_an': 0}
  • id: 19424397
    {'hecke_orbit_code': 4503599728034521, 'n': 28, 'trace_an': 4539}
  • id: 19424398
    {'hecke_orbit_code': 4503599728034521, 'n': 29, 'trace_an': -15279}
  • id: 19424399
    {'hecke_orbit_code': 4503599728034521, 'n': 30, 'trace_an': 0}
  • id: 19424400
    {'hecke_orbit_code': 4503599728034521, 'n': 31, 'trace_an': 17331}
  • id: 19424401
    {'hecke_orbit_code': 4503599728034521, 'n': 32, 'trace_an': 43983}
  • id: 19424402
    {'hecke_orbit_code': 4503599728034521, 'n': 33, 'trace_an': 0}
  • id: 19424403
    {'hecke_orbit_code': 4503599728034521, 'n': 34, 'trace_an': 20412}
  • id: 19424404
    {'hecke_orbit_code': 4503599728034521, 'n': 35, 'trace_an': 2514}
  • id: 19424405
    {'hecke_orbit_code': 4503599728034521, 'n': 36, 'trace_an': 0}
  • id: 19424406
    {'hecke_orbit_code': 4503599728034521, 'n': 37, 'trace_an': 11397}
  • id: 19424407
    {'hecke_orbit_code': 4503599728034521, 'n': 38, 'trace_an': 78873}
  • id: 19424408
    {'hecke_orbit_code': 4503599728034521, 'n': 39, 'trace_an': 0}
  • id: 19424409
    {'hecke_orbit_code': 4503599728034521, 'n': 40, 'trace_an': 52185}
  • id: 19424410
    {'hecke_orbit_code': 4503599728034521, 'n': 41, 'trace_an': -31566}
  • id: 19424411
    {'hecke_orbit_code': 4503599728034521, 'n': 42, 'trace_an': 0}
  • id: 19424412
    {'hecke_orbit_code': 4503599728034521, 'n': 43, 'trace_an': 34422}
  • id: 19424413
    {'hecke_orbit_code': 4503599728034521, 'n': 44, 'trace_an': -63213}
  • id: 19424414
    {'hecke_orbit_code': 4503599728034521, 'n': 45, 'trace_an': 0}
  • id: 19424415
    {'hecke_orbit_code': 4503599728034521, 'n': 46, 'trace_an': 62907}
  • id: 19424416
    {'hecke_orbit_code': 4503599728034521, 'n': 47, 'trace_an': 507}
  • id: 19424417
    {'hecke_orbit_code': 4503599728034521, 'n': 48, 'trace_an': 0}
  • id: 19424418
    {'hecke_orbit_code': 4503599728034521, 'n': 49, 'trace_an': 104106}
  • id: 19424419
    {'hecke_orbit_code': 4503599728034521, 'n': 50, 'trace_an': 64929}
  • id: 19424420
    {'hecke_orbit_code': 4503599728034521, 'n': 51, 'trace_an': 0}
  • id: 19424421
    {'hecke_orbit_code': 4503599728034521, 'n': 52, 'trace_an': 99237}
  • id: 19424422
    {'hecke_orbit_code': 4503599728034521, 'n': 53, 'trace_an': 72297}
  • id: 19424423
    {'hecke_orbit_code': 4503599728034521, 'n': 54, 'trace_an': 0}
  • id: 19424424
    {'hecke_orbit_code': 4503599728034521, 'n': 55, 'trace_an': 106611}
  • id: 19424425
    {'hecke_orbit_code': 4503599728034521, 'n': 56, 'trace_an': -213900}
  • id: 19424426
    {'hecke_orbit_code': 4503599728034521, 'n': 57, 'trace_an': 0}
  • id: 19424427
    {'hecke_orbit_code': 4503599728034521, 'n': 58, 'trace_an': 107733}
  • id: 19424428
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  • id: 19424620
    {'hecke_orbit_code': 4503599728034521, 'n': 953, 'trace_an': -137923461}
  • id: 19424621
    {'hecke_orbit_code': 4503599728034521, 'n': 961, 'trace_an': 106698333}
  • id: 19424622
    {'hecke_orbit_code': 4503599728034521, 'n': 967, 'trace_an': 155622345}
  • id: 19424623
    {'hecke_orbit_code': 4503599728034521, 'n': 971, 'trace_an': 65315871}
  • id: 19424624
    {'hecke_orbit_code': 4503599728034521, 'n': 977, 'trace_an': -114725055}
  • id: 19424625
    {'hecke_orbit_code': 4503599728034521, 'n': 983, 'trace_an': 52126950}
  • id: 19424626
    {'hecke_orbit_code': 4503599728034521, 'n': 991, 'trace_an': 195690675}
  • id: 19424627
    {'hecke_orbit_code': 4503599728034521, 'n': 997, 'trace_an': 134713014}