Newform data - 522.2.r.b

Formats: - HTML - YAML - JSON - 2026-10-10T05:09:05.019619

• 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': 2088, 'analytic_conductor': 4.168190985510836, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 87, 'char_degree': 12, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 28, 'char_parity': 1, 'char_values': [522, 28, [407, 379], [14, 1]], 'cm_discs': [], 'conrey_index': 89, 'dim': 72, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [4658857539637019761, 0, 110411500622140702040, 0, 2860127668884608283861, 0, 32111687420710054413312, 0, 175468713789956628283144, 0, 482209740295305346887472, 0, 692886757495482306922438, 0, 576903939997029096300408, 0, 441909248188356639206936, 0, -173353691979575059971284, 0, 231541311261574304640972, 0, 10168976482255953954816, 0, 6068571542011649750563, 0, 6346994017601054746932, 0, 1906420105149901001116, 0, 427600472883740321024, 0, 110402926820555268994, 0, 22015150878075749328, 0, 5195524393619535961, 0, 1045665351556503480, 0, 153779733477882589, 0, 24061612978401804, 0, 4385580883710413, 0, 592201963881240, 0, 71672242233432, 0, 9103766229808, 0, 1090590470495, 0, 116788409760, 0, 11828961235, 0, 1023250752, 0, 89354817, 0, 7284208, 0, 514785, 0, 29644, 0, 1367, 0, 40, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4504767892029962, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 29, 6, -1, 28, 0], [1, 1, 87, 11, 1, 28, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '522.2.r.b', 'level': 522, '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': [2, 3, 29], 'level_radical': 174, 'minimal_twist': '522.2.r.b', 'prim_orbit_index': 11, 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c28', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '522.2.r', 'trace_display': [0, 0, 0, -8], 'traces': [72, 0, 0, 0, 0, 0, -8, 0, 0, 4, 0, 0, 0, 0, 0, 12, 0, 0, -40, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -12, 0, 0, -4, 0, 0, -72, 0, 0, 16, 0, 0, 52, 0, 0, 4, 0, 0, 140, 0, 0, 44, 0, 0, 24, 0, 0, 0, 0, 0, 140, 0, 0, -20, 0, 0, -116, 0, 0, -12, 0, 0, 44, 0, 0, -92, 0, 0, -208, 0, 0, 0, 0, 0, -308, 0, 0, -124, 0, 0, 28, 0, 0, 0, 0, 0, -144, 0, 0, -4, 0, 0, 28, 0, 0, 8, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 28, 0, 0, 208, 0, 0, -32, 0, 0, 296, 0, 0, 52, 0, 0, -72, 0, 0, 148, 0, 0, 412, 0, 0, -72, 0, 0, -56, 0, 0, 252, 0, 0, 128, 0, 0, 24, 0, 0, 144, 0, 0, 116, 0, 0, -84, 0, 0, -72, 0, 0, 16, 0, 0, -112, 0, 0, -248, 0, 0, 16, 0, 0, -196, 0, 0, -88, 0, 0, -132, 0, 0, 56, 0, 0, 24, 0, 0, 0, 0, 0, -28, 0, 0, -28, 0, 0, -16, 0, 0, -104, 0, 0, -296, 0, 0, 0, 0, 0, -48, 0, 0, -140, 0, 0, 180, 0, 0, 56, 0, 0, -156, 0, 0, -168, 0, 0, 252, 0, 0, -32, 0, 0, -356, 0, 0, -92, 0, 0, 252, 0, 0, -12, 0, 0, -116, 0, 0, 216, 0, 0, -280, 0, 0, -48, 0, 0, 60, 0, 0, -56, 0, 0, -232, 0, 0, -92, 0, 0, 84, 0, 0, -28, 0, 0, 0, 0, 0, 116, 0, 0, 308, 0, 0, 0, 0, 0, 320, 0, 0, -44, 0, 0, 304, 0, 0, 108, 0, 0, -164, 0, 0, 128, 0, 0, 560, 0, 0, 196, 0, 0, -112, 0, 0, 56, 0, 0, 112, 0, 0, -96, 0, 0, 356, 0, 0, 68, 0, 0, -436, 0, 0, 104, 0, 0, 144, 0, 0, 0, 0, 0, -232, 0, 0, 152, 0, 0, 0, 0, 0, -52, 0, 0, -96, 0, 0, 84, 0, 0, -252, 0, 0, 0, 0, 0, 160, 0, 0, 56, 0, 0, 476, 0, 0, -84, 0, 0, -432, 0, 0, 164, 0, 0, 80, 0, 0, -36, 0, 0, 144, 0, 0, 144, 0, 0, -388, 0, 0, -252, 0, 0, 420, 0, 0, -224, 0, 0, -412, 0, 0, 52, 0, 0, -152, 0, 0, -472, 0, 0, -44, 0, 0, -144, 0, 0, 84, 0, 0, -396, 0, 0, -28, 0, 0, 28, 0, 0, -588, 0, 0, 20, 0, 0, -224, 0, 0, -52, 0, 0, 0, 0, 0, -192, 0, 0, 28, 0, 0, 100, 0, 0, -164, 0, 0, 124, 0, 0, 560, 0, 0, 92, 0, 0, -20, 0, 0, 356, 0, 0, 640, 0, 0, 56, 0, 0, 56, 0, 0, 308, 0, 0, 456, 0, 0, 40, 0, 0, 92, 0, 0, 320, 0, 0, -308, 0, 0, -32, 0, 0, 288, 0, 0, 196, 0, 0, -316, 0, 0, 156, 0, 0, 364, 0, 0, -172, 0, 0, -4, 0, 0, 28, 0, 0, -16, 0, 0, 0, 0, 0, 188, 0, 0, 0, 0, 0, 104, 0, 0, -276, 0, 0, -544, 0, 0, -64, 0, 0, -448, 0, 0, -64, 0, 0, -276, 0, 0, 176, 0, 0, -280, 0, 0, -140, 0, 0, 224, 0, 0, -72, 0, 0, -660, 0, 0, -336, 0, 0, 4, 0, 0, -28, 0, 0, 20, 0, 0, 112, 0, 0, -476, 0, 0, -196, 0, 0, -428, 0, 0, -280, 0, 0, -528, 0, 0, -156, 0, 0, 84, 0, 0, -52, 0, 0, 0, 0, 0, -24, 0, 0, -364, 0, 0, 320, 0, 0, -392, 0, 0, -312, 0, 0, 648, 0, 0, -204, 0, 0, -232, 0, 0, 32, 0, 0, 916, 0, 0, 48, 0, 0, 56, 0, 0, 280, 0, 0, 360, 0, 0, -140, 0, 0, 312, 0, 0, 16, 0, 0, -156, 0, 0, 264, 0, 0, -144, 0, 0, 280, 0, 0, 0, 0, 0, 284, 0, 0, 532, 0, 0, 4, 0, 0, 392, 0, 0, -112, 0, 0, -120, 0, 0, 0, 0, 0, 120, 0, 0, -196, 0, 0, 412, 0, 0, 12, 0, 0, 56, 0, 0, 360, 0, 0, -232, 0, 0, -112, 0, 0, 448, 0, 0, 292, 0, 0, -176, 0, 0, -112, 0, 0, 616, 0, 0, -120, 0, 0, 44, 0, 0, 204, 0, 0, 404, 0, 0, -440, 0, 0, -84, 0, 0, -80, 0, 0, 224, 0, 0, -400, 0, 0, 216, 0, 0, 252, 0, 0, 44, 0, 0, 376, 0, 0, 448, 0, 0, -8, 0, 0, 0, 0, 0, 84, 0, 0, 392, 0, 0, 56, 0, 0, 220, 0, 0, 196, 0, 0, 136, 0, 0, 24, 0, 0, -164, 0, 0, 16, 0, 0, 344, 0, 0, -96, 0, 0, -812, 0, 0, 644, 0, 0, -56, 0, 0, 92, 0, 0, 180, 0, 0, 324, 0, 0, -264, 0, 0, -296, 0, 0, 312, 0, 0, 56, 0, 0, -212, 0, 0, 168, 0, 0, 28, 0, 0, 120, 0, 0, -152, 0, 0, -56, 0, 0, -580, 0, 0, 0, 0, 0, -484, 0, 0, 28, 0, 0, -208, 0, 0, -432, 0, 0, -476, 0, 0, -208, 0, 0, -308, 0, 0, -24, 0, 0, -352, 0, 0, 40, 0, 0, -620, 0, 0, -364, 0, 0, 112, 0, 0, -240, 0, 0, -716, 0, 0, -448, 0, 0, -324, 0, 0, 16, 0, 0, -368, 0, 0, -208, 0, 0, -560, 0, 0, 24, 0, 0, 140, 0, 0, -392, 0, 0, -244, 0, 0, -136, 0, 0, -252, 0, 0, -12, 0, 0, 0, 0, 0, 356, 0, 0, -224, 0, 0, -4, 0, 0, -208, 0, 0, -328], 'weight': 2, 'weight_parity': 1}
• label 522.2.r.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

  
  {'Nk2': 2088, 'analytic_conductor': 4.168190985510836, 'char_conductor': 87, 'char_degree': 12, 'char_is_real': False, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 28, 'char_parity': 1, 'char_values': [522, 28, [407, 379], [14, 1]], 'conrey_index': 89, 'cusp_dim': 984, 'dim': 120, 'eis_dim': 192, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 1168264659466, 'hecke_orbit_dims': [48, 72], 'label': '522.2.r', 'level': 522, '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': [2, 3, 29], 'level_radical': 174, 'mf_dim': 1176, 'mf_new_dim': 120, 'num_forms': 2, 'prim_orbit_index': 11, 'relative_dim': 10, 'sturm_bound': 180, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [120, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 20, 0, 0, 16, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 4, 0, 0, -12, 0, 0, -16, 0, 0, 32, 0, 0, 44, 0, 0, 32, 0, 0, 8, 0, 0, 8, 0, 0, 44, 0, 0, 0, 0, 0, 112, 0, 0, -56, 0, 0, -32, 0, 0, -96, 0, 0, -72, 0, 0, -56, 0, 0, -280, 0, 0, 0, 0, 0, -336, 0, 0, -112, 0, 0, -36, 0, 0, -112, 0, 0, -192, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 48, 0, 0, 216, 0, 0, -36, 0, 0, 352, 0, 0, 88, 0, 0, 64, 0, 0, 192, 0, 0, 452, 0, 0, 24, 0, 0, 112, 0, 0, 336, 0, 0, 44, 0, 0, 44, 0, 0, 48, 0, 0, -8, 0, 0, -84, 0, 0, -16, 0, 0, -544, 0, 0, 0, 0, 0, -64, 0, 0, 32, 0, 0, -224, 0, 0, -112, 0, 0, -156, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 48, 0, 0, -136, 0, 0, -64, 0, 0, 48, 0, 0, 48, 0, 0, 40, 0, 0, 28, 0, 0, -8, 0, 0, -16, 0, 0, -112, 0, 0, -56, 0, 0, -68, 0, 0, -128, 0, 0, -140, 0, 0, 208, 0, 0, -20, 0, 0, -48, 0, 0, 48, 0, 0, -224, 0, 0, -32, 0, 0, -104, 0, 0, -140, 0, 0, -216, 0, 0, 0, 0, 0, -112, 0, 0, 96, 0, 0, 0, 0, 0, 32, 0, 0, 448, 0, 0, 20, 0, 0, 432, 0, 0, -16, 0, 0, 176, 0, 0, 216, 0, 0, 152, 0, 0, 40, 0, 0, 304, 0, 0, 320, 0, 0, 224, 0, 0, 0, 0, 0, 288, 0, 0, 96, 0, 0, 348, 0, 0, 168, 0, 0, -288, 0, 0, 228, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 104, 0, 0, -112, 0, 0, 32, 0, 0, -160, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 440, 0, 0, -76, 0, 0, -144, 0, 0, 60, 0, 0, 296, 0, 0, 20, 0, 0, 96, 0, 0, -16, 0, 0, -468, 0, 0, -224, 0, 0, 0, 0, 0, -496, 0, 0, -388, 0, 0, 12, 0, 0, -368, 0, 0, -560, 0, 0, -60, 0, 0, -216, 0, 0, -168, 0, 0, -544, 0, 0, -304, 0, 0, 0, 0, 0, -656, 0, 0, -136, 0, 0, -336, 0, 0, 48, 0, 0, 0, 0, 0, -148, 0, 0, -112, 0, 0, 88, 0, 0, -144, 0, 0, 400, 0, 0, 292, 0, 0, 84, 0, 0, 112, 0, 0, 700, 0, 0, 112, 0, 0, 120, 0, 0, 336, 0, 0, 0, 0, 0, 476, 0, 0, -8, 0, 0, 8, 0, 0, 300, 0, 0, 48, 0, 0, -36, 0, 0, 288, 0, 0, 336, 0, 0, -60, 0, 0, 128, 0, 0, 280, 0, 0, -140, 0, 0, -248, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, -96, 0, 0, -244, 0, 0, -148, 0, 0, -80, 0, 0, -272, 0, 0, -240, 0, 0, -368, 0, 0, -60, 0, 0, -304, 0, 0, -448, 0, 0, -224, 0, 0, -116, 0, 0, -448, 0, 0, -512, 0, 0, -412, 0, 0, -136, 0, 0, -328, 0, 0, -104, 0, 0, -756, 0, 0, -280, 0, 0, -416, 0, 0, -224, 0, 0, -436, 0, 0, -44, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, -44, 0, 0, -336, 0, 0, 240, 0, 0, -64, 0, 0, -48, 0, 0, 640, 0, 0, 64, 0, 0, 48, 0, 0, -8, 0, 0, 464, 0, 0, 112, 0, 0, 336, 0, 0, 448, 0, 0, 480, 0, 0, 240, 0, 0, 560, 0, 0, 16, 0, 0, 304, 0, 0, 72, 0, 0, -464, 0, 0, 336, 0, 0, 576, 0, 0, 444, 0, 0, 364, 0, 0, 80, 0, 0, 464, 0, 0, 112, 0, 0, -16, 0, 0, 0, 0, 0, -24, 0, 0, -56, 0, 0, 268, 0, 0, -32, 0, 0, 368, 0, 0, 176, 0, 0, -28, 0, 0, -16, 0, 0, 632, 0, 0, 224, 0, 0, 308, 0, 0, 0, 0, 0, 224, 0, 0, -368, 0, 0, 668, 0, 0, -44, 0, 0, 360, 0, 0, -80, 0, 0, 96, 0, 0, -72, 0, 0, 560, 0, 0, -144, 0, 0, -128, 0, 0, 112, 0, 0, 416, 0, 0, 248, 0, 0, 784, 0, 0, 120, 0, 0, 0, 0, 0, 304, 0, 0, 672, 0, 0, -88, 0, 0, 432, 0, 0, 320, 0, 0, -116, 0, 0, 80, 0, 0, -160, 0, 0, 128, 0, 0, 256, 0, 0, 176, 0, 0, -616, 0, 0, 784, 0, 0, -260, 0, 0, -24, 0, 0, 528, 0, 0, 464, 0, 0, -408, 0, 0, -64, 0, 0, 416, 0, 0, 0, 0, 0, -32, 0, 0, 160, 0, 0, -224, 0, 0, 320, 0, 0, -272, 0, 0, 56, 0, 0, -632, 0, 0, 0, 0, 0, -760, 0, 0, -112, 0, 0, -352, 0, 0, -848, 0, 0, -648, 0, 0, -252, 0, 0, -760, 0, 0, -224, 0, 0, -1084, 0, 0, -8, 0, 0, -816, 0, 0, -336, 0, 0, -560, 0, 0, -240, 0, 0, -720, 0, 0, -512, 0, 0, -800, 0, 0, -160, 0, 0, -416, 0, 0, -288, 0, 0, -560, 0, 0, -136, 0, 0, -184, 0, 0, -504, 0, 0, 96, 0, 0, -156, 0, 0, -672, 0, 0, 264, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 64, 0, 0, 4, 0, 0, -336], 'weight': 2, '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: 365556
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 18, 'source_dim': 72, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '522.2.r.b', 'source_level': 522, 'target_char_orbit': 18, 'target_dim': 72, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '522.2.r.b', 'target_level': 522, 'twist_class_label': '522.2.r.b', 'twist_class_level': 522, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 365557
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 72, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '522.2.r.b', 'source_level': 522, 'target_char_orbit': 18, 'target_dim': 72, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '522.2.r.b', 'target_level': 522, 'twist_class_label': '522.2.r.b', 'twist_class_level': 522, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 365558
    {'conductor': 29, 'degree': 12, 'multiplicity': 1, 'order': 28, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 72, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '522.2.r.b', 'source_level': 522, 'target_char_orbit': 18, 'target_dim': 72, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '522.2.r.b', 'target_level': 522, 'twist_class_label': '522.2.r.b', 'twist_class_level': 522, 'twisting_char_label': '29.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 365559
    {'conductor': 87, 'degree': 12, 'multiplicity': 1, 'order': 28, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 72, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '522.2.r.b', 'source_level': 522, 'target_char_orbit': 18, 'target_dim': 72, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '522.2.r.b', 'target_level': 522, 'twist_class_label': '522.2.r.b', 'twist_class_level': 522, 'twisting_char_label': '87.k', 'twisting_char_orbit': 11, 'weight': 2}
• hecke_orbit_code 4504767892029962 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': 18, 'hecke_orbit': 2, 'label': '522.2.r.b', 'level': 522, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 24532423
    {'hecke_orbit_code': 4504767892029962, 'n': 1, 'trace_an': 72}
  • id: 24532424
    {'hecke_orbit_code': 4504767892029962, 'n': 2, 'trace_an': 0}
  • id: 24532425
    {'hecke_orbit_code': 4504767892029962, 'n': 3, 'trace_an': 0}
  • id: 24532426
    {'hecke_orbit_code': 4504767892029962, 'n': 4, 'trace_an': 0}
  • id: 24532427
    {'hecke_orbit_code': 4504767892029962, 'n': 5, 'trace_an': 0}
  • id: 24532428
    {'hecke_orbit_code': 4504767892029962, 'n': 6, 'trace_an': 0}
  • id: 24532429
    {'hecke_orbit_code': 4504767892029962, 'n': 7, 'trace_an': -8}
  • id: 24532430
    {'hecke_orbit_code': 4504767892029962, 'n': 8, 'trace_an': 0}
  • id: 24532431
    {'hecke_orbit_code': 4504767892029962, 'n': 9, 'trace_an': 0}
  • id: 24532432
    {'hecke_orbit_code': 4504767892029962, 'n': 10, 'trace_an': 4}
  • id: 24532433
    {'hecke_orbit_code': 4504767892029962, 'n': 11, 'trace_an': 0}
  • id: 24532434
    {'hecke_orbit_code': 4504767892029962, 'n': 12, 'trace_an': 0}
  • id: 24532435
    {'hecke_orbit_code': 4504767892029962, 'n': 13, 'trace_an': 0}
  • id: 24532436
    {'hecke_orbit_code': 4504767892029962, 'n': 14, 'trace_an': 0}
  • id: 24532437
    {'hecke_orbit_code': 4504767892029962, 'n': 15, 'trace_an': 0}
  • id: 24532438
    {'hecke_orbit_code': 4504767892029962, 'n': 16, 'trace_an': 12}
  • id: 24532439
    {'hecke_orbit_code': 4504767892029962, 'n': 17, 'trace_an': 0}
  • id: 24532440
    {'hecke_orbit_code': 4504767892029962, 'n': 18, 'trace_an': 0}
  • id: 24532441
    {'hecke_orbit_code': 4504767892029962, 'n': 19, 'trace_an': -40}
  • id: 24532442
    {'hecke_orbit_code': 4504767892029962, 'n': 20, 'trace_an': 0}
  • id: 24532443
    {'hecke_orbit_code': 4504767892029962, 'n': 21, 'trace_an': 0}
  • id: 24532444
    {'hecke_orbit_code': 4504767892029962, 'n': 22, 'trace_an': 0}
  • id: 24532445
    {'hecke_orbit_code': 4504767892029962, 'n': 23, 'trace_an': 0}
  • id: 24532446
    {'hecke_orbit_code': 4504767892029962, 'n': 24, 'trace_an': 0}
  • id: 24532447
    {'hecke_orbit_code': 4504767892029962, 'n': 25, 'trace_an': -20}
  • id: 24532448
    {'hecke_orbit_code': 4504767892029962, 'n': 26, 'trace_an': 0}
  • id: 24532449
    {'hecke_orbit_code': 4504767892029962, 'n': 27, 'trace_an': 0}
  • id: 24532450
    {'hecke_orbit_code': 4504767892029962, 'n': 28, 'trace_an': 0}
  • id: 24532451
    {'hecke_orbit_code': 4504767892029962, 'n': 29, 'trace_an': 0}
  • id: 24532452
    {'hecke_orbit_code': 4504767892029962, 'n': 30, 'trace_an': 0}
  • id: 24532453
    {'hecke_orbit_code': 4504767892029962, 'n': 31, 'trace_an': -28}
  • id: 24532454
    {'hecke_orbit_code': 4504767892029962, 'n': 32, 'trace_an': 0}
  • id: 24532455
    {'hecke_orbit_code': 4504767892029962, 'n': 33, 'trace_an': 0}
  • id: 24532456
    {'hecke_orbit_code': 4504767892029962, 'n': 34, 'trace_an': 0}
  • id: 24532457
    {'hecke_orbit_code': 4504767892029962, 'n': 35, 'trace_an': 0}
  • id: 24532458
    {'hecke_orbit_code': 4504767892029962, 'n': 36, 'trace_an': 0}
  • id: 24532459
    {'hecke_orbit_code': 4504767892029962, 'n': 37, 'trace_an': -12}
  • id: 24532460
    {'hecke_orbit_code': 4504767892029962, 'n': 38, 'trace_an': 0}
  • id: 24532461
    {'hecke_orbit_code': 4504767892029962, 'n': 39, 'trace_an': 0}
  • id: 24532462
    {'hecke_orbit_code': 4504767892029962, 'n': 40, 'trace_an': -4}
  • id: 24532463
    {'hecke_orbit_code': 4504767892029962, 'n': 41, 'trace_an': 0}
  • id: 24532464
    {'hecke_orbit_code': 4504767892029962, 'n': 42, 'trace_an': 0}
  • id: 24532465
    {'hecke_orbit_code': 4504767892029962, 'n': 43, 'trace_an': -72}
  • id: 24532466
    {'hecke_orbit_code': 4504767892029962, 'n': 44, 'trace_an': 0}
  • id: 24532467
    {'hecke_orbit_code': 4504767892029962, 'n': 45, 'trace_an': 0}
  • id: 24532468
    {'hecke_orbit_code': 4504767892029962, 'n': 46, 'trace_an': 16}
  • id: 24532469
    {'hecke_orbit_code': 4504767892029962, 'n': 47, 'trace_an': 0}
  • id: 24532470
    {'hecke_orbit_code': 4504767892029962, 'n': 48, 'trace_an': 0}
  • id: 24532471
    {'hecke_orbit_code': 4504767892029962, 'n': 49, 'trace_an': 52}
  • id: 24532472
    {'hecke_orbit_code': 4504767892029962, 'n': 50, 'trace_an': 0}
  • id: 24532473
    {'hecke_orbit_code': 4504767892029962, 'n': 51, 'trace_an': 0}
  • id: 24532474
    {'hecke_orbit_code': 4504767892029962, 'n': 52, 'trace_an': 4}
  • id: 24532475
    {'hecke_orbit_code': 4504767892029962, 'n': 53, 'trace_an': 0}
  • id: 24532476
    {'hecke_orbit_code': 4504767892029962, 'n': 54, 'trace_an': 0}
  • id: 24532477
    {'hecke_orbit_code': 4504767892029962, 'n': 55, 'trace_an': 140}
  • id: 24532478
    {'hecke_orbit_code': 4504767892029962, 'n': 56, 'trace_an': 0}
  • id: 24532479
    {'hecke_orbit_code': 4504767892029962, 'n': 57, 'trace_an': 0}
  • id: 24532480
    {'hecke_orbit_code': 4504767892029962, 'n': 58, 'trace_an': 44}
  • id: 24532481
    {'hecke_orbit_code': 4504767892029962, 'n': 59, 'trace_an': 0}
  • id: 24532482
    {'hecke_orbit_code': 4504767892029962, 'n': 60, 'trace_an': 0}
  • id: 24532483
    {'hecke_orbit_code': 4504767892029962, 'n': 61, 'trace_an': 24}
  • id: 24532484
    {'hecke_orbit_code': 4504767892029962, 'n': 62, 'trace_an': 0}
  • id: 24532485
    {'hecke_orbit_code': 4504767892029962, 'n': 63, 'trace_an': 0}
  • id: 24532486
    {'hecke_orbit_code': 4504767892029962, 'n': 64, 'trace_an': 0}
  • id: 24532487
    {'hecke_orbit_code': 4504767892029962, 'n': 65, 'trace_an': 0}
  • id: 24532488
    {'hecke_orbit_code': 4504767892029962, 'n': 66, 'trace_an': 0}
  • id: 24532489
    {'hecke_orbit_code': 4504767892029962, 'n': 67, 'trace_an': 140}
  • id: 24532490
    {'hecke_orbit_code': 4504767892029962, 'n': 68, 'trace_an': 0}
  • id: 24532491
    {'hecke_orbit_code': 4504767892029962, 'n': 69, 'trace_an': 0}
  • id: 24532492
    {'hecke_orbit_code': 4504767892029962, 'n': 70, 'trace_an': -20}
  • id: 24532493
    {'hecke_orbit_code': 4504767892029962, 'n': 71, 'trace_an': 0}
  • id: 24532494
    {'hecke_orbit_code': 4504767892029962, 'n': 72, 'trace_an': 0}
  • id: 24532495
    {'hecke_orbit_code': 4504767892029962, 'n': 73, 'trace_an': -116}
  • id: 24532496
    {'hecke_orbit_code': 4504767892029962, 'n': 74, 'trace_an': 0}
  • id: 24532497
    {'hecke_orbit_code': 4504767892029962, 'n': 75, 'trace_an': 0}
  • id: 24532498
    {'hecke_orbit_code': 4504767892029962, 'n': 76, 'trace_an': -12}
  • id: 24532499
    {'hecke_orbit_code': 4504767892029962, 'n': 77, 'trace_an': 0}
  • id: 24532500
    {'hecke_orbit_code': 4504767892029962, 'n': 78, 'trace_an': 0}
  • id: 24532501
    {'hecke_orbit_code': 4504767892029962, 'n': 79, 'trace_an': 44}
  • id: 24532502
    {'hecke_orbit_code': 4504767892029962, 'n': 80, 'trace_an': 0}
  • id: 24532503
    {'hecke_orbit_code': 4504767892029962, 'n': 81, 'trace_an': 0}
  • id: 24532504
    {'hecke_orbit_code': 4504767892029962, 'n': 82, 'trace_an': -92}
  • id: 24532505
    {'hecke_orbit_code': 4504767892029962, 'n': 83, 'trace_an': 0}
  • id: 24532506
    {'hecke_orbit_code': 4504767892029962, 'n': 84, 'trace_an': 0}
  • id: 24532507
    {'hecke_orbit_code': 4504767892029962, 'n': 85, 'trace_an': -208}
  • id: 24532508
    {'hecke_orbit_code': 4504767892029962, 'n': 86, 'trace_an': 0}
  • id: 24532509
    {'hecke_orbit_code': 4504767892029962, 'n': 87, 'trace_an': 0}
  • id: 24532510
    {'hecke_orbit_code': 4504767892029962, 'n': 88, 'trace_an': 0}
  • id: 24532511
    {'hecke_orbit_code': 4504767892029962, 'n': 89, 'trace_an': 0}
  • id: 24532512
    {'hecke_orbit_code': 4504767892029962, 'n': 90, 'trace_an': 0}
  • id: 24532513
    {'hecke_orbit_code': 4504767892029962, 'n': 91, 'trace_an': -308}
  • id: 24532514
    {'hecke_orbit_code': 4504767892029962, 'n': 92, 'trace_an': 0}
  • id: 24532515
    {'hecke_orbit_code': 4504767892029962, 'n': 93, 'trace_an': 0}
  • id: 24532516
    {'hecke_orbit_code': 4504767892029962, 'n': 94, 'trace_an': -124}
  • id: 24532517
    {'hecke_orbit_code': 4504767892029962, 'n': 95, 'trace_an': 0}
  • id: 24532518
    {'hecke_orbit_code': 4504767892029962, 'n': 96, 'trace_an': 0}
  • id: 24532519
    {'hecke_orbit_code': 4504767892029962, 'n': 97, 'trace_an': 28}
  • id: 24532520
    {'hecke_orbit_code': 4504767892029962, 'n': 98, 'trace_an': 0}
  • id: 24532521
    {'hecke_orbit_code': 4504767892029962, 'n': 99, 'trace_an': 0}
  • id: 24532522
    {'hecke_orbit_code': 4504767892029962, 'n': 100, 'trace_an': 0}