Newform data - 230.4.g.d

Formats: - HTML - YAML - JSON - 2026-07-17T11:16:19.475510

• 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': 3680, 'analytic_conductor': 13.570439301320341, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 23, 'char_degree': 10, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 11, 'char_parity': 1, 'char_values': [230, 11, [47, 51], [11, 3]], 'cm_discs': [], 'conrey_index': 31, 'dim': 70, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [2096176681646274206874695317619542616817181696, 2832181255283226676701898126182993501763901440, 6425824122635595532846513717558438071883583488, 10644191845483053772486124020718319084715285248, 7453696336400035814954239725351457155563248768, 4429449671528025330021469392738550347072330048, 3829998065640050782146999942198736647956831312, 1849495197066922746632054072686605443666823336, 2031084273493228453297385165446389958839114508, 272977184366504199205807616621717997325164036, 449778195128269266956293480525137550006558573, 209809103525510086547747862187080508433638864, 82479301423736511794204848459169666962336217, 23590922923329360100884679886824215635882503, 19965542275338160308960212974541376396093978, 8420446138086561008943744797662847908547386, 2236365903607640653893445691779038761677306, 553577066989221059126957569073543187767830, 749129850686153790743469690681197411941114, -126580118029376932451120032974116720085293, 81902527363798841082542558407170459009345, -28305958280413922192002904871166299576649, 7422702007936825325876141833262712657699, -3292850758141779781489579963576878328313, 1390510673950030666975246982687324821341, -215847184710302584160318516131510893376, 158908564583958600388361944113067516820, -18969432641381463534559967734867059742, 10648083995094550806034454253241339710, -1851352283325778632629767003866466393, 671412146268214709076095850194788347, -100281071164007702189242791404342314, 29089670138484826447415086091167756, -3440604669385238778614816503820460, 702988273429372718286489334613916, -71656139023668096162279482174427, 20787118755956327389142688635183, -2145720796559903004104837862933, 517599582889596504233358893863, -50132433501286593485758911732, 8810393931311517090150060098, -865398941546926464488100903, 165218561657192523528993572, -88589867674638185589257, 1767453680699886244814541, -256049599841144410152789, 80652299689523041861477, -700509398959128665111, 841961194665360234733, -54224289952319263040, 25790020335457890987, -727215218430817361, 271218044830461817, -2105504518862240, 4647253956898488, -45136142675923, 52091035506057, -2151715037416, 430903113042, -23415538246, 6268006386, -187925956, 98875439, -182791, 1082538, -41622, 10870, -581, 111, -3, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13511211266080998, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 23, 3, 1, 11, 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': '230.4.g.d', 'level': 230, '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': [2, 5, 23], 'level_radical': 230, 'minimal_twist': '230.4.g.d', 'prim_orbit_index': 3, 'related_objects': [], 'relative_dim': 7, 'rm_discs': [], 'sato_tate_group': '3.2.3.c11', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '230.4.g', 'trace_display': [-14, 3, -35, -78], 'traces': [70, -14, 3, -28, -35, 6, -78, -56, -24, -70, -15, -120, -270, 64, 15, -112, 114, -48, 52, -140, 684, 212, -305, 288, -175, 164, 609, 128, -1822, 30, -685, -224, -2213, -256, -225, -536, 863, -1172, 1589, -280, -297, -788, 1176, -60, 4390, -126, 3704, -480, -79, -350, -1654, -332, 342, -36, -20, -624, -4434, -300, -1285, 60, -1385, 346, 4949, -448, -415, 2394, -74, -248, -4594, 540, -1136, 336, 1486, 1726, 75, 340, -8111, 208, -1293, -560, 3497, -3520, -3905, -564, 240, 790, 5645, -1088, 3235, -1120, 698, -1000, 15838, 1886, -2930, 96, -311, -5240, 11285, -700, 7962, 2170, -6564, 920, 2265, 4292, -122, -1788, 686, -40, 410, 512, -4442, -1784, 1500, 11016, 2867, -7388, -3816, 120, -1240, 3610, -11017, -1024, -875, -3324, 1448, -896, -8330, 820, 7813, 7164, 8421, -2546, -90, -1024, 6372, -7582, 21470, -900, -24765, 3976, -7880, -3376, 2275, -42, 19582, 152, -24582, -1500, -4522, -3896, 1766, -8896, 2020, 416, -8450, -1530, -17154, 11200, 986, 31084, 23469, -572, 8955, -7810, -978, 3624, 2103, 260, 17593, -6604, 23012, -9676, 800, 1872, 23759, 3896, -2837, -4220, -47648, -17788, -45514, -4288, 2390, 1866, -44093, -2080, -62888, 520, 13465, 192, 20448, -1062, -8720, 4700, -4285, 13770, 16195, -1400, -12073, 15924, 27961, 5352, -3630, -1160, 23223, 7296, 37297, -1410, -14456, 8584, 5541, 18236, 5880, 4608, -3440, 8258, 709, -300, 31, 7662, -4248, 1024, -600, -1184, -76486, -17736, -13688, -630, 33998, -1200, -52610, 2258, -13545, -5184, 50380, 12234, -16903, 240, 18722, -5846, -43836, -9632, -395, 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40303, 44688, -438952, 283146, 119700, 336, -241571, -124234, 95696, 5840, -32890, 7056, -367117, -22980, 21575, 261234, 342241, 25824, 10188, 77200, 26720, 84448, 140820, -173120, -220465, -175680, -412222, -223414, 127895, 1480, -177592, -246732, -46655, 28544, 217740, -38932, -248677, -210452, 259780, 4250, 16184, -197640, -387771, -396216, 73265, 174300, -251424, 112856, -133804, 960, 369478, 349726, 46025, 74888, 145690, -576550, 179810, -23384, -197290, -11910, 364559, 68724, 502996, 24652, 2600, 28880, 157861, 254292, 239731, 3260, -623900, -344482, -35353, 19576, 4205, 2612, 362933, 79704, 247078, 127260, -113742, -21920, 242287, -57846, -144800, -44072, -282371, -186590, -779294, -7000], 'weight': 4, 'weight_parity': 1}
• label 230.4.g.d 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': 3680, 'analytic_conductor': 13.570439301320341, 'char_conductor': 23, 'char_degree': 10, 'char_is_real': False, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 11, 'char_parity': 1, 'char_values': [230, 11, [47, 51], [11, 3]], 'conrey_index': 31, 'cusp_dim': 1040, 'dim': 240, 'eis_dim': 80, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 412383969510, 'hecke_orbit_dims': [50, 60, 60, 70], 'label': '230.4.g', 'level': 230, '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': [2, 5, 23], 'level_radical': 230, 'mf_dim': 1120, 'mf_new_dim': 240, 'num_forms': 4, 'prim_orbit_index': 3, 'relative_dim': 24, 'sturm_bound': 144, 'trace_bound': 3, 'trace_display': [0, 0, -10, 0], 'traces': [240, 0, 0, -96, -10, -8, 0, 0, -188, -20, -108, 0, -32, 96, 0, -384, -552, -224, 428, -40, 2184, 880, -132, -32, -600, 672, -408, 0, 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27160, -335102, 39632, 798084, 93936, 101100, -327144, 521808, -158336, 219910, 58680, -291560, -5120, 860788, -95104, 3360, -9528, -329656, 255648, -614596, -2000], 'weight': 4, '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: 185784
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 7, 'source_dim': 70, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '230.4.g.d', 'source_level': 230, 'target_char_orbit': 7, 'target_dim': 70, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '230.4.g.d', 'target_level': 230, 'twist_class_label': '230.4.g.d', 'twist_class_level': 230, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 4}
  • id: 185785
    {'conductor': 23, 'degree': 10, 'multiplicity': 1, 'order': 11, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 70, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '230.4.g.d', 'source_level': 230, 'target_char_orbit': 7, 'target_dim': 70, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '230.4.g.d', 'target_level': 230, 'twist_class_label': '230.4.g.d', 'twist_class_level': 230, 'twisting_char_label': '23.c', 'twisting_char_orbit': 3, 'weight': 4}
• hecke_orbit_code 13511211266080998 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': 7, 'hecke_orbit': 4, 'label': '230.4.g.d', 'level': 230, 'portrait': 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', 'weight': 4}
• 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: 36803677
    {'hecke_orbit_code': 13511211266080998, 'n': 1, 'trace_an': 70}
  • id: 36803678
    {'hecke_orbit_code': 13511211266080998, 'n': 2, 'trace_an': -14}
  • id: 36803679
    {'hecke_orbit_code': 13511211266080998, 'n': 3, 'trace_an': 3}
  • id: 36803680
    {'hecke_orbit_code': 13511211266080998, 'n': 4, 'trace_an': -28}
  • id: 36803681
    {'hecke_orbit_code': 13511211266080998, 'n': 5, 'trace_an': -35}
  • id: 36803682
    {'hecke_orbit_code': 13511211266080998, 'n': 6, 'trace_an': 6}
  • id: 36803683
    {'hecke_orbit_code': 13511211266080998, 'n': 7, 'trace_an': -78}
  • id: 36803684
    {'hecke_orbit_code': 13511211266080998, 'n': 8, 'trace_an': -56}
  • id: 36803685
    {'hecke_orbit_code': 13511211266080998, 'n': 9, 'trace_an': -24}
  • id: 36803686
    {'hecke_orbit_code': 13511211266080998, 'n': 10, 'trace_an': -70}
  • id: 36803687
    {'hecke_orbit_code': 13511211266080998, 'n': 11, 'trace_an': -15}
  • id: 36803688
    {'hecke_orbit_code': 13511211266080998, 'n': 12, 'trace_an': -120}
  • id: 36803689
    {'hecke_orbit_code': 13511211266080998, 'n': 13, 'trace_an': -270}
  • id: 36803690
    {'hecke_orbit_code': 13511211266080998, 'n': 14, 'trace_an': 64}
  • id: 36803691
    {'hecke_orbit_code': 13511211266080998, 'n': 15, 'trace_an': 15}
  • id: 36803692
    {'hecke_orbit_code': 13511211266080998, 'n': 16, 'trace_an': -112}
  • id: 36803693
    {'hecke_orbit_code': 13511211266080998, 'n': 17, 'trace_an': 114}
  • id: 36803694
    {'hecke_orbit_code': 13511211266080998, 'n': 18, 'trace_an': -48}
  • id: 36803695
    {'hecke_orbit_code': 13511211266080998, 'n': 19, 'trace_an': 52}
  • id: 36803696
    {'hecke_orbit_code': 13511211266080998, 'n': 20, 'trace_an': -140}
  • id: 36803697
    {'hecke_orbit_code': 13511211266080998, 'n': 21, 'trace_an': 684}
  • id: 36803698
    {'hecke_orbit_code': 13511211266080998, 'n': 22, 'trace_an': 212}
  • id: 36803699
    {'hecke_orbit_code': 13511211266080998, 'n': 23, 'trace_an': -305}
  • id: 36803700
    {'hecke_orbit_code': 13511211266080998, 'n': 24, 'trace_an': 288}
  • id: 36803701
    {'hecke_orbit_code': 13511211266080998, 'n': 25, 'trace_an': -175}
  • id: 36803702
    {'hecke_orbit_code': 13511211266080998, 'n': 26, 'trace_an': 164}
  • id: 36803703
    {'hecke_orbit_code': 13511211266080998, 'n': 27, 'trace_an': 609}
  • id: 36803704
    {'hecke_orbit_code': 13511211266080998, 'n': 28, 'trace_an': 128}
  • id: 36803705
    {'hecke_orbit_code': 13511211266080998, 'n': 29, 'trace_an': -1822}
  • id: 36803706
    {'hecke_orbit_code': 13511211266080998, 'n': 30, 'trace_an': 30}
  • id: 36803707
    {'hecke_orbit_code': 13511211266080998, 'n': 31, 'trace_an': -685}
  • id: 36803708
    {'hecke_orbit_code': 13511211266080998, 'n': 32, 'trace_an': -224}
  • id: 36803709
    {'hecke_orbit_code': 13511211266080998, 'n': 33, 'trace_an': -2213}
  • id: 36803710
    {'hecke_orbit_code': 13511211266080998, 'n': 34, 'trace_an': -256}
  • id: 36803711
    {'hecke_orbit_code': 13511211266080998, 'n': 35, 'trace_an': -225}
  • id: 36803712
    {'hecke_orbit_code': 13511211266080998, 'n': 36, 'trace_an': -536}
  • id: 36803713
    {'hecke_orbit_code': 13511211266080998, 'n': 37, 'trace_an': 863}
  • id: 36803714
    {'hecke_orbit_code': 13511211266080998, 'n': 38, 'trace_an': -1172}
  • id: 36803715
    {'hecke_orbit_code': 13511211266080998, 'n': 39, 'trace_an': 1589}
  • id: 36803716
    {'hecke_orbit_code': 13511211266080998, 'n': 40, 'trace_an': -280}
  • id: 36803717
    {'hecke_orbit_code': 13511211266080998, 'n': 41, 'trace_an': -297}
  • id: 36803718
    {'hecke_orbit_code': 13511211266080998, 'n': 42, 'trace_an': -788}
  • id: 36803719
    {'hecke_orbit_code': 13511211266080998, 'n': 43, 'trace_an': 1176}
  • id: 36803720
    {'hecke_orbit_code': 13511211266080998, 'n': 44, 'trace_an': -60}
  • id: 36803721
    {'hecke_orbit_code': 13511211266080998, 'n': 45, 'trace_an': 4390}
  • id: 36803722
    {'hecke_orbit_code': 13511211266080998, 'n': 46, 'trace_an': -126}
  • id: 36803723
    {'hecke_orbit_code': 13511211266080998, 'n': 47, 'trace_an': 3704}
  • id: 36803724
    {'hecke_orbit_code': 13511211266080998, 'n': 48, 'trace_an': -480}
  • id: 36803725
    {'hecke_orbit_code': 13511211266080998, 'n': 49, 'trace_an': -79}
  • id: 36803726
    {'hecke_orbit_code': 13511211266080998, 'n': 50, 'trace_an': -350}
  • id: 36803727
    {'hecke_orbit_code': 13511211266080998, 'n': 51, 'trace_an': -1654}
  • id: 36803728
    {'hecke_orbit_code': 13511211266080998, 'n': 52, 'trace_an': -332}
  • id: 36803729
    {'hecke_orbit_code': 13511211266080998, 'n': 53, 'trace_an': 342}
  • id: 36803730
    {'hecke_orbit_code': 13511211266080998, 'n': 54, 'trace_an': -36}
  • id: 36803731
    {'hecke_orbit_code': 13511211266080998, 'n': 55, 'trace_an': -20}
  • id: 36803732
    {'hecke_orbit_code': 13511211266080998, 'n': 56, 'trace_an': -624}
  • id: 36803733
    {'hecke_orbit_code': 13511211266080998, 'n': 57, 'trace_an': -4434}
  • id: 36803734
    {'hecke_orbit_code': 13511211266080998, 'n': 58, 'trace_an': -300}
  • id: 36803735
    {'hecke_orbit_code': 13511211266080998, 'n': 59, 'trace_an': -1285}
  • id: 36803736
    {'hecke_orbit_code': 13511211266080998, 'n': 60, 'trace_an': 60}
  • id: 36803737
    {'hecke_orbit_code': 13511211266080998, 'n': 61, 'trace_an': -1385}
  • id: 36803738
    {'hecke_orbit_code': 13511211266080998, 'n': 62, 'trace_an': 346}
  • id: 36803739
    {'hecke_orbit_code': 13511211266080998, 'n': 63, 'trace_an': 4949}
  • id: 36803740
    {'hecke_orbit_code': 13511211266080998, 'n': 64, 'trace_an': -448}
  • id: 36803741
    {'hecke_orbit_code': 13511211266080998, 'n': 65, 'trace_an': -415}
  • id: 36803742
    {'hecke_orbit_code': 13511211266080998, 'n': 66, 'trace_an': 2394}
  • id: 36803743
    {'hecke_orbit_code': 13511211266080998, 'n': 67, 'trace_an': -74}
  • id: 36803744
    {'hecke_orbit_code': 13511211266080998, 'n': 68, 'trace_an': -248}
  • id: 36803745
    {'hecke_orbit_code': 13511211266080998, 'n': 69, 'trace_an': -4594}
  • id: 36803746
    {'hecke_orbit_code': 13511211266080998, 'n': 70, 'trace_an': 540}
  • id: 36803747
    {'hecke_orbit_code': 13511211266080998, 'n': 71, 'trace_an': -1136}
  • id: 36803748
    {'hecke_orbit_code': 13511211266080998, 'n': 72, 'trace_an': 336}
  • id: 36803749
    {'hecke_orbit_code': 13511211266080998, 'n': 73, 'trace_an': 1486}
  • id: 36803750
    {'hecke_orbit_code': 13511211266080998, 'n': 74, 'trace_an': 1726}
  • id: 36803751
    {'hecke_orbit_code': 13511211266080998, 'n': 75, 'trace_an': 75}
  • id: 36803752
    {'hecke_orbit_code': 13511211266080998, 'n': 76, 'trace_an': 340}
  • id: 36803753
    {'hecke_orbit_code': 13511211266080998, 'n': 77, 'trace_an': -8111}
  • id: 36803754
    {'hecke_orbit_code': 13511211266080998, 'n': 78, 'trace_an': 208}
  • id: 36803755
    {'hecke_orbit_code': 13511211266080998, 'n': 79, 'trace_an': -1293}
  • id: 36803756
    {'hecke_orbit_code': 13511211266080998, 'n': 80, 'trace_an': -560}
  • id: 36803757
    {'hecke_orbit_code': 13511211266080998, 'n': 81, 'trace_an': 3497}
  • id: 36803758
    {'hecke_orbit_code': 13511211266080998, 'n': 82, 'trace_an': -3520}
  • id: 36803759
    {'hecke_orbit_code': 13511211266080998, 'n': 83, 'trace_an': -3905}
  • id: 36803760
    {'hecke_orbit_code': 13511211266080998, 'n': 84, 'trace_an': -564}
  • id: 36803761
    {'hecke_orbit_code': 13511211266080998, 'n': 85, 'trace_an': 240}
  • id: 36803762
    {'hecke_orbit_code': 13511211266080998, 'n': 86, 'trace_an': 790}
  • id: 36803763
    {'hecke_orbit_code': 13511211266080998, 'n': 87, 'trace_an': 5645}
  • id: 36803764
    {'hecke_orbit_code': 13511211266080998, 'n': 88, 'trace_an': -1088}
  • id: 36803765
    {'hecke_orbit_code': 13511211266080998, 'n': 89, 'trace_an': 3235}
  • id: 36803766
    {'hecke_orbit_code': 13511211266080998, 'n': 90, 'trace_an': -1120}
  • id: 36803767
    {'hecke_orbit_code': 13511211266080998, 'n': 91, 'trace_an': 698}
  • id: 36803768
    {'hecke_orbit_code': 13511211266080998, 'n': 92, 'trace_an': -1000}
  • id: 36803769
    {'hecke_orbit_code': 13511211266080998, 'n': 93, 'trace_an': 15838}
  • id: 36803770
    {'hecke_orbit_code': 13511211266080998, 'n': 94, 'trace_an': 1886}
  • id: 36803771
    {'hecke_orbit_code': 13511211266080998, 'n': 95, 'trace_an': -2930}
  • id: 36803772
    {'hecke_orbit_code': 13511211266080998, 'n': 96, 'trace_an': 96}
  • id: 36803773
    {'hecke_orbit_code': 13511211266080998, 'n': 97, 'trace_an': -311}
  • id: 36803774
    {'hecke_orbit_code': 13511211266080998, 'n': 98, 'trace_an': -5240}
  • id: 36803775
    {'hecke_orbit_code': 13511211266080998, 'n': 99, 'trace_an': 11285}
  • id: 36803776
    {'hecke_orbit_code': 13511211266080998, 'n': 100, 'trace_an': -700}