Embedded newform data - 162.6.a.a.1.1

Formats: - HTML - YAML - JSON - 2025-03-07T11:58:27.695185

• 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': 5832, 'analytic_conductor': 25.982178809702862, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [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': [162, 1, [83], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 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': [[5, [21, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 100663458, 'hecke_ring_generator_nbound': 1, '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': True, 'label': '162.6.a.a', 'level': 162, '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], 'level_radical': 6, 'minimal_twist': '162.6.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-4q^{2}+2^{4}q^{4}-21q^{5}+74q^{7}-2^{6}q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '162.6.a', 'trace_display': [-4, 0, -21, 74], 'trace_hash': 867103341987433335, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.988', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.994', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.025', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, -4, 0, 16, -21, 0, 74, -64, 0, 84, -270, 0, -115, -296, 0, 256, 861, 0, 1850, -336, 0, 1080, -3618, 0, -2684, 460, 0, 1184, -1125, 0, 5228, -1024, 0, -3444, -1554, 0, 9917, -7400, 0, 1344, -10758, 0, -19714, -4320, 0, 14472, -9984, 0, -11331, 10736, 0, -1840, -36726, 0, 5670, -4736, 0, 4500, -26460, 0, -53779, -20912, 0, 4096, 2415, 0, -12934, 13776, 0, 6216, 4254, 0, -17521, -39668, 0, 29600, -19980, 0, -36946, -5376, 0, 43032, 76416, 0, -18081, 78856, 0, 17280, 45357, 0, -8510, -57888, 0, 39936, -38850, 0, 127574, 45324, 0, -42944, 78870, 0, -17488, 7360, 0, 146904, 134364, 0, -123487, -22680, 0, 18944, -174039, 0, 75978, -18000, 0, 105840, 63714, 0, -88151, 215116, 0, 83648, 121989, 0, -312982, -16384, 0, -9660, 105810, 0, 136900, 51736, 0, -55104, 284481, 0, -162328, -24864, 0, -17016, 31050, 0, 23625, 70084, 0, 158672, 270711, 0, -16852, -118400, 0, 79920, -109788, 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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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• 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': [5, 5, 6, 4], 'Nk2': 5832, 'analytic_conductor': 25.982178809702862, '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': [162, 1, [83], [1]], 'conrey_index': 1, 'cusp_dim': 123, 'dim': 20, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 100663458, 'hecke_orbit_dims': [1, 1, 2, 2, 2, 2, 2, 2, 3, 3], 'label': '162.6.a', 'level': 162, '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], 'level_radical': 6, 'mf_dim': 147, 'mf_new_dim': 20, 'num_forms': 10, 'plus_dim': 9, 'prim_orbit_index': 1, 'relative_dim': 20, 'sturm_bound': 162, 'trace_bound': 7, 'trace_display': [0, 0, 0, -116], 'traces': [20, 0, 0, 320, 0, 0, -116, 0, 0, -24, 0, 0, -470, 0, 0, 5120, 0, 0, -770, 0, 0, 1896, 0, 0, 5414, 0, 0, -1856, 0, 0, 9952, 0, 0, 13392, 0, 0, 15358, 0, 0, -384, 0, 0, 56854, 0, 0, -18960, 0, 0, 4308, 0, 0, -7520, 0, 0, -64800, 0, 0, 36024, 0, 0, 90046, 0, 0, 81920, 0, 0, -8246, 0, 0, 126528, 0, 0, -154724, 0, 0, -12320, 0, 0, -139688, 0, 0, 13368, 0, 0, -196038, 0, 0, 30336, 0, 0, 19664, 0, 0, 206160, 0, 0, -29114, 0, 0, 86624, 0, 0, -109388, 0, 0, -247248, 0, 0, 550966, 0, 0, -29696, 0, 0, -821664, 0, 0, 240600, 0, 0, 906398, 0, 0, 159232, 0, 0, -810428, 0, 0, -141096, 0, 0, -850372, 0, 0, 214272, 0, 0, -2085590, 0, 0, -226368, 0, 0, 65178, 0, 0, 245728, 0, 0, 1218412, 0, 0, -1208688, 0, 0, 179134, 0, 0, -6144, 0, 0, 1604056, 0, 0, -294240, 0, 0, -539274, 0, 0, 909664, 0, 0, 2564476, 0, 0, 1104984, 0, 0, -3324488, 0, 0, -303360, 0, 0, -2086038, 0, 0, -514848, 0, 0, -2247680, 0, 0, 68928, 0, 0, 2779204, 0, 0, 1483152, 0, 0, 6556716, 0, 0, -120320, 0, 0, 465352, 0, 0, -1355112, 0, 0, 730376, 0, 0, -1036800, 0, 0, 2917540, 0, 0, 843960, 0, 0, 5060338, 0, 0, 576384, 0, 0, -4560264, 0, 0, -1872144, 0, 0, -2822624, 0, 0, 1440736, 0, 0, -1716124, 0, 0, -1664616, 0, 0, 4180428, 0, 0, 1310720, 0, 0, 8594120, 0, 0, -7054656, 0, 0, -500292, 0, 0, -131936, 0, 0, 1208776, 0, 0, -2488080, 0, 0, -2715632, 0, 0, 2024448, 0, 0, -598448, 0, 0, -1378320, 0, 0, 1074080, 0, 0, -2475584, 0, 0, -15203376, 0, 0, 375960, 0, 0, -2856316, 0, 0, -197120, 0, 0, -3928190, 0, 0, 6196416, 0, 0, -1676744, 0, 0, -2235008, 0, 0, 4360428, 0, 0, 4948512, 0, 0, 9740380, 0, 0, 213888, 0, 0, -12003056, 0, 0, 5665440, 0, 0, -140006, 0, 0, -3136608, 0, 0, -5018536, 0, 0, -4557000, 0, 0, 1715284, 0, 0, 485376, 0, 0, -16145640, 0, 0, -1738368, 0, 0, -2015274, 0, 0, 314624, 0, 0, 4456504, 0, 0, -755112, 0, 0, 4639264, 0, 0, 3298560, 0, 0, -9495842, 0, 0, 1742640, 0, 0, 15782040, 0, 0, -465824, 0, 0, 5481396, 0, 0, -13633848, 0, 0, 20222014, 0, 0, 1385984, 0, 0, 2901800, 0, 0, 2998560, 0, 0, 15337096, 0, 0, -1750208, 0, 0, -18625752, 0, 0, 7195224, 0, 0, 7288534, 0, 0, -3955968, 0, 0, 7245320, 0, 0, 25764576, 0, 0, -8552048, 0, 0, 8815456, 0, 0, 3755944, 0, 0, 22867560, 0, 0, -38818782, 0, 0, -475136, 0, 0, 16171218, 0, 0, -25021560, 0, 0, -5860088, 0, 0, -13146624, 0, 0, 3721624, 0, 0, 12025728, 0, 0, -37953604, 0, 0, 3849600, 0, 0, -10833182, 0, 0, 974640, 0, 0, 33230930, 0, 0, 14502368, 0, 0, 13363708, 0, 0, 42425640, 0, 0, 5314230, 0, 0, 2547712, 0, 0, -47480402, 0, 0, -23426424, 0, 0, 31009572, 0, 0, -12966848, 0, 0, -3042700, 0, 0, -21112224, 0, 0, 9718668, 0, 0, -2257536, 0, 0, -14214200, 0, 0, -12881712, 0, 0, -15219148, 0, 0, -13605952, 0, 0, 15666120, 0, 0, 27957672, 0, 0, -27995594, 0, 0, 3428352, 0, 0, 29661022, 0, 0, 35886552, 0, 0, -7583944, 0, 0, -33369440, 0, 0, 72463868, 0, 0, -39770472, 0, 0, -88758, 0, 0, -3621888, 0, 0, 35908270, 0, 0, -12231696, 0, 0, -52223684, 0, 0, 1042848, 0, 0, 139176, 0, 0, -23961480, 0, 0, 32106920, 0, 0, 3931648, 0, 0, -4573944, 0, 0, 13993152, 0, 0, -25152884, 0, 0, 19494592, 0, 0, -71740208, 0, 0, -67655208, 0, 0, 77590156, 0, 0, -19339008, 0, 0, -21894578, 0, 0, -24191664, 0, 0, -16330672, 0, 0, 2866144, 0, 0, -61549232, 0, 0, 47663448, 0, 0, -16989486, 0, 0, -98304, 0, 0, 75040558, 0, 0, 73164888, 0, 0, 62057574, 0, 0, 25664896, 0, 0, -30137688, 0, 0, 62754528, 0, 0, -42361994, 0, 0, -4707840, 0, 0, 4684680, 0, 0, -92391168, 0, 0, -4839542, 0, 0, -8628384, 0, 0, -83739964, 0, 0, -36370464, 0, 0, -94652334, 0, 0, 14554624, 0, 0, 18966520, 0, 0, -78790488, 0, 0, 61362126, 0, 0, 41031616, 0, 0, -28753408, 0, 0, 36423816, 0, 0, 92588734, 0, 0, 17679744, 0, 0, 23769936, 0, 0, -86081040, 0, 0, 102483872, 0, 0, -53191808, 0, 0, -73338452, 0, 0, 257208, 0, 0, 31019056, 0, 0, -4853760, 0, 0, -406850, 0, 0, 36517824, 0, 0, 152070426, 0, 0, -33376608, 0, 0, 96572392, 0, 0, 111926424, 0, 0, -8716928, 0, 0, -8237568, 0, 0, 19428248, 0, 0, 56824320, 0, 0, -45396470, 0, 0, -35962880, 0, 0, -51925784, 0, 0, -60869280, 0, 0, -80707608, 0, 0, 1102848, 0, 0, -29919080, 0, 0, 31714656, 0, 0, -47458774, 0, 0, 44467264, 0, 0, 165232764, 0, 0, -110751216, 0, 0, -34316136, 0, 0, 23730432, 0, 0, 125098762, 0, 0, 39948960, 0, 0, -50758558, 0, 0, 104907456, 0, 0, -31096424, 0, 0, -48167760, 0, 0, -6759320, 0, 0, -1925120, 0, 0, -113053464, 0, 0, -51129024, 0, 0, -114202882, 0, 0, 7445632, 0, 0, -99988736, 0, 0, 135872856, 0, 0, 70813144, 0, 0, -21681792, 0, 0, 108044566, 0, 0, 116796528, 0, 0, -7615854, 0, 0, 11686016, 0, 0, 75024956, 0, 0, 199095792, 0, 0, 69224974, 0, 0, -16588800, 0, 0, 92821594, 0, 0, -209254728, 0, 0, -370627576, 0, 0, 46680640, 0, 0, -36416232, 0, 0, -50200776, 0, 0, 46806804, 0, 0, 13503360, 0, 0, 233986474, 0, 0, -159137664, 0, 0, 172840464, 0, 0, 80965408, 0, 0, -68835956, 0, 0, 77146656, 0, 0, -187139960, 0, 0, 9222144, 0, 0, 39243270, 0, 0, -136418328, 0, 0, -192819830, 0, 0, -72964224, 0, 0, -187273836, 0, 0, -6382824, 0, 0, -371999218, 0, 0, -29954304, 0, 0, 43593192, 0, 0, 173924016, 0, 0, 196361484, 0, 0, -45161984, 0, 0, -77124980, 0, 0, 38081040, 0, 0, 130305356, 0, 0, 23051776, 0, 0, 57623004, 0, 0, 228064584, 0, 0, -137082150, 0, 0, -27457984, 0, 0, 30770392, 0, 0, -133786368, 0, 0, -11027618, 0, 0, -26633856], 'weight': 6, '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: 383727
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663458, 'source_is_minimal': True, 'source_label': '162.6.a.a.1.1', 'source_level': 162, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 100663458, 'target_is_minimal': True, 'target_label': '162.6.a.a.1.1', 'target_level': 162, 'twist_class_label': '162.6.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 383728
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663458, 'source_is_minimal': True, 'source_label': '162.6.a.a.1.1', 'source_level': 162, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599728033954, 'target_is_minimal': True, 'target_label': '162.6.a.b.1.1', 'target_level': 162, 'twist_class_label': '162.6.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 383729
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663458, 'source_is_minimal': True, 'source_label': '162.6.a.a.1.1', 'source_level': 162, 'target_conrey_index': 109, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510936421728418, 'target_is_minimal': False, 'target_label': '162.6.c.d.109.1', 'target_level': 162, 'twist_class_label': '162.6.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 383730
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663458, 'source_is_minimal': True, 'source_label': '162.6.a.a.1.1', 'source_level': 162, 'target_conrey_index': 55, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028934558580898, 'target_is_minimal': False, 'target_label': '162.6.c.i.55.1', 'target_level': 162, 'twist_class_label': '162.6.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 6}
  • id: 383731
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663458, 'source_is_minimal': True, 'source_label': '162.6.a.a.1.1', 'source_level': 162, 'target_conrey_index': 55, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510936421728418, 'target_is_minimal': False, 'target_label': '162.6.c.d.55.1', 'target_level': 162, 'twist_class_label': '162.6.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 6}
  • id: 383732
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 100663458, 'source_is_minimal': True, 'source_label': '162.6.a.a.1.1', 'source_level': 162, 'target_conrey_index': 109, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028934558580898, 'target_is_minimal': False, 'target_label': '162.6.c.i.109.1', 'target_level': 162, 'twist_class_label': '162.6.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 335200
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 2}
  • id: 335201
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 3}
  • id: 335202
    {'charpoly_factorization': [[[21, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 5}
  • id: 335203
    {'charpoly_factorization': [[[-74, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 7}
  • id: 335204
    {'charpoly_factorization': [[[270, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 11}
  • id: 335205
    {'charpoly_factorization': [[[115, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 13}
  • id: 335206
    {'charpoly_factorization': [[[-861, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 17}
  • id: 335207
    {'charpoly_factorization': [[[-1850, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 19}
  • id: 335208
    {'charpoly_factorization': [[[3618, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 23}
  • id: 335209
    {'charpoly_factorization': [[[1125, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 29}
  • id: 335210
    {'charpoly_factorization': [[[-5228, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 31}
  • id: 335211
    {'charpoly_factorization': [[[-9917, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 37}
  • id: 335212
    {'charpoly_factorization': [[[10758, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 41}
  • id: 335213
    {'charpoly_factorization': [[[19714, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 43}
  • id: 335214
    {'charpoly_factorization': [[[9984, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 47}
  • id: 335215
    {'charpoly_factorization': [[[36726, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 53}
  • id: 335216
    {'charpoly_factorization': [[[26460, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 59}
  • id: 335217
    {'charpoly_factorization': [[[53779, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 61}
  • id: 335218
    {'charpoly_factorization': [[[12934, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 67}
  • id: 335219
    {'charpoly_factorization': [[[-4254, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 71}
  • id: 335220
    {'charpoly_factorization': [[[17521, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 73}
  • id: 335221
    {'charpoly_factorization': [[[36946, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 79}
  • id: 335222
    {'charpoly_factorization': [[[-76416, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 83}
  • id: 335223
    {'charpoly_factorization': [[[-45357, 1], 1]], 'hecke_orbit_code': 100663458, 'p': 89}
  • id: 335224
    {'charpoly_factorization': [[[-127574, 1], 1]], 'hecke_orbit_code': 100663458, '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': 1, 'label': '162.6.a.a', 'level': 162, 'portrait': 'data:image/png;base64,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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 3260088
    {'hecke_orbit_code': 100663458, 'n': 1, 'trace_an': 1}
  • id: 3260089
    {'hecke_orbit_code': 100663458, 'n': 2, 'trace_an': -4}
  • id: 3260090
    {'hecke_orbit_code': 100663458, 'n': 3, 'trace_an': 0}
  • id: 3260091
    {'hecke_orbit_code': 100663458, 'n': 4, 'trace_an': 16}
  • id: 3260092
    {'hecke_orbit_code': 100663458, 'n': 5, 'trace_an': -21}
  • id: 3260093
    {'hecke_orbit_code': 100663458, 'n': 6, 'trace_an': 0}
  • id: 3260094
    {'hecke_orbit_code': 100663458, 'n': 7, 'trace_an': 74}
  • id: 3260095
    {'hecke_orbit_code': 100663458, 'n': 8, 'trace_an': -64}
  • id: 3260096
    {'hecke_orbit_code': 100663458, 'n': 9, 'trace_an': 0}
  • id: 3260097
    {'hecke_orbit_code': 100663458, 'n': 10, 'trace_an': 84}
  • id: 3260098
    {'hecke_orbit_code': 100663458, 'n': 11, 'trace_an': -270}
  • id: 3260099
    {'hecke_orbit_code': 100663458, 'n': 12, 'trace_an': 0}
  • id: 3260100
    {'hecke_orbit_code': 100663458, 'n': 13, 'trace_an': -115}
  • id: 3260101
    {'hecke_orbit_code': 100663458, 'n': 14, 'trace_an': -296}
  • id: 3260102
    {'hecke_orbit_code': 100663458, 'n': 15, 'trace_an': 0}
  • id: 3260103
    {'hecke_orbit_code': 100663458, 'n': 16, 'trace_an': 256}
  • id: 3260104
    {'hecke_orbit_code': 100663458, 'n': 17, 'trace_an': 861}
  • id: 3260105
    {'hecke_orbit_code': 100663458, 'n': 18, 'trace_an': 0}
  • id: 3260106
    {'hecke_orbit_code': 100663458, 'n': 19, 'trace_an': 1850}
  • id: 3260107
    {'hecke_orbit_code': 100663458, 'n': 20, 'trace_an': -336}
  • id: 3260108
    {'hecke_orbit_code': 100663458, 'n': 21, 'trace_an': 0}
  • id: 3260109
    {'hecke_orbit_code': 100663458, 'n': 22, 'trace_an': 1080}
  • id: 3260110
    {'hecke_orbit_code': 100663458, 'n': 23, 'trace_an': -3618}
  • id: 3260111
    {'hecke_orbit_code': 100663458, 'n': 24, 'trace_an': 0}
  • id: 3260112
    {'hecke_orbit_code': 100663458, 'n': 25, 'trace_an': -2684}
  • id: 3260113
    {'hecke_orbit_code': 100663458, 'n': 26, 'trace_an': 460}
  • id: 3260114
    {'hecke_orbit_code': 100663458, 'n': 27, 'trace_an': 0}
  • id: 3260115
    {'hecke_orbit_code': 100663458, 'n': 28, 'trace_an': 1184}
  • id: 3260116
    {'hecke_orbit_code': 100663458, 'n': 29, 'trace_an': -1125}
  • id: 3260117
    {'hecke_orbit_code': 100663458, 'n': 30, 'trace_an': 0}
  • id: 3260118
    {'hecke_orbit_code': 100663458, 'n': 31, 'trace_an': 5228}
  • id: 3260119
    {'hecke_orbit_code': 100663458, 'n': 32, 'trace_an': -1024}
  • id: 3260120
    {'hecke_orbit_code': 100663458, 'n': 33, 'trace_an': 0}
  • id: 3260121
    {'hecke_orbit_code': 100663458, 'n': 34, 'trace_an': -3444}
  • id: 3260122
    {'hecke_orbit_code': 100663458, 'n': 35, 'trace_an': -1554}
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  • id: 3260138
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  • id: 3260139
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  • id: 3260140
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  • id: 3260141
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  • id: 3260142
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  • id: 3260143
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  • id: 3260144
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  • id: 3260145
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  • id: 3260146
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  • id: 3260147
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  • id: 3260148
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  • id: 3260149
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  • id: 3260151
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  • id: 3260152
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  • id: 3260170
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  • id: 3260171
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  • id: 3260172
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  • id: 3260173
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  • id: 3260184
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  • id: 3260185
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  • id: 3260186
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  • id: 3260187
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  • id: 3260188
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  • id: 3260189
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  • id: 3260190
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  • id: 3260191
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  • id: 3260192
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  • id: 3260198
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  • id: 3260199
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  • id: 3260200
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  • id: 3260201
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  • id: 3260202
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  • id: 3260203
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  • id: 3260204
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  • id: 3260206
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  • id: 3260207
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  • id: 3260208
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  • id: 3260209
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  • id: 3260210
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  • id: 3260211
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  • id: 3260212
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  • id: 3260213
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  • id: 3260214
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  • id: 3260215
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  • id: 3260216
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  • id: 3260217
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  • id: 3260218
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  • id: 3260219
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  • id: 3260220
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  • id: 3260221
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  • id: 3260222
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  • id: 3260223
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  • id: 3260224
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  • id: 3260225
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  • id: 3260226
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  • id: 3260227
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  • id: 3260228
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  • id: 3260229
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  • id: 3260230
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  • id: 3260231
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  • id: 3260232
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  • id: 3260233
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  • id: 3260234
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  • id: 3260235
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  • id: 3260236
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  • id: 3260237
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  • id: 3260238
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  • id: 3260239
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  • id: 3260240
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  • id: 3260241
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  • id: 3260242
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  • id: 3260243
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  • id: 3260244
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  • id: 3260245
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  • id: 3260246
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  • id: 3260247
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  • id: 3260248
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  • id: 3260249
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  • id: 3260250
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  • id: 3260251
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  • id: 3260252
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  • id: 3260253
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  • id: 3260254
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  • id: 3260255
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  • id: 3260256
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  • id: 3260257
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  • id: 3260258
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  • id: 3260259
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  • id: 3260260
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  • id: 3260261
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  • id: 3260262
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  • id: 3260263
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  • id: 3260264
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  • id: 3260265
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  • id: 3260266
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  • id: 3260267
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  • id: 3260268
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  • id: 3260269
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  • id: 3260270
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  • id: 3260271
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  • id: 3260272
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  • id: 3260273
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  • id: 3260274
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  • id: 3260275
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  • id: 3260276
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  • id: 3260277
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  • id: 3260278
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  • id: 3260279
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  • id: 3260280
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  • id: 3260281
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  • id: 3260282
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  • id: 3260286
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  • id: 3260288
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  • id: 3260289
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  • id: 3260317
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  • id: 3260320
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  • id: 3260321
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  • id: 3260322
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  • id: 3260324
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  • id: 3260325
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  • id: 3260326
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  • id: 3260327
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  • id: 3260328
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  • id: 3260329
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  • id: 3260330
    {'hecke_orbit_code': 100663458, 'n': 887, 'trace_an': -2189802}
  • id: 3260331
    {'hecke_orbit_code': 100663458, 'n': 907, 'trace_an': 48654440}
  • id: 3260332
    {'hecke_orbit_code': 100663458, 'n': 911, 'trace_an': 47079186}
  • id: 3260333
    {'hecke_orbit_code': 100663458, 'n': 919, 'trace_an': -22342786}
  • id: 3260334
    {'hecke_orbit_code': 100663458, 'n': 929, 'trace_an': 20218533}
  • id: 3260335
    {'hecke_orbit_code': 100663458, 'n': 937, 'trace_an': -38805337}
  • id: 3260336
    {'hecke_orbit_code': 100663458, 'n': 941, 'trace_an': 27811431}
  • id: 3260337
    {'hecke_orbit_code': 100663458, 'n': 947, 'trace_an': 38239242}
  • id: 3260338
    {'hecke_orbit_code': 100663458, 'n': 953, 'trace_an': -10151235}
  • id: 3260339
    {'hecke_orbit_code': 100663458, 'n': 961, 'trace_an': -1297167}
  • id: 3260340
    {'hecke_orbit_code': 100663458, 'n': 967, 'trace_an': -14157442}
  • id: 3260341
    {'hecke_orbit_code': 100663458, 'n': 971, 'trace_an': -1502910}
  • id: 3260342
    {'hecke_orbit_code': 100663458, 'n': 977, 'trace_an': 28892034}
  • id: 3260343
    {'hecke_orbit_code': 100663458, 'n': 983, 'trace_an': -7715976}
  • id: 3260344
    {'hecke_orbit_code': 100663458, 'n': 991, 'trace_an': -18720862}
  • id: 3260345
    {'hecke_orbit_code': 100663458, 'n': 997, 'trace_an': 5378765}