Newform data - 8.21.d.a

Formats: - HTML - YAML - JSON - 2025-03-11T01:01:48.403307

• 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': 3528, 'analytic_conductor': 20.28110120821293, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 8, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [8, 2, [7, 5], [1, 1]], 'cm_discs': [-8], 'conrey_index': 3, '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, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-114226, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 206510751752, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 4, -1, 2, -8]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '8.21.d.a', 'level': 8, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '8.21.d.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 4, 'qexp_display': 'q+2^{10}q^{2}+114226q^{3}+2^{20}q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '20.2.1.d2', 'self_twist_discs': [-8], 'self_twist_type': 1, 'space_label': '8.21.d', 'trace_display': [1024, 114226, 0, 0], 'trace_hash': 1733302182246706373, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.963', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.809', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.203', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.506', 'prec': 17}, 'traces': [1, 1024, 114226, 1048576, 0, 116967424, 0, 1073741824, 9560794675, 0, -42383023726, 119774642176, 0, 0, 0, 1099511627776, -3353535763774, 9790253747200, -1014654432526, 0, 0, -43400216295424, 0, 122649233588224, 95367431640625, 0, 693809897557924, 0, 0, 0, 0, 1125899906842624, -4841243268126076, -3434020622104576, 0, 10025219837132800, 0, -1039006138906624, 0, 0, -25418071370591326, 0, 2781113986388498, -44441821486514176, 0, 0, 0, 125592815194341376, 79792266297612001, 97656250000000000, -383060976152848924, 0, 0, 710461335099314176, 0, 0, -115899917209714876, 0, -173912197184497198, 0, 0, 0, 0, 1152921504606846976, 0, -4957433106561101824, -356137514166464974, -3516437117035085824, 0, 0, 0, 10265825113223987200, -6016717170316692574, 0, 10893440246582031250, -1063942286240382976, 0, 0, 0, 0, 45914699624497562149, -26028105083485517824, -31022856480301602574, 0, 0, 2847860722061821952, 0, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1], [1024], [114226], [1048576], [0], [116967424], [0], [1073741824], [9560794675], [0], [-42383023726], [119774642176], [0], [0], [0], [1099511627776], [-3353535763774], [9790253747200], [-1014654432526], [0], [0], [-43400216295424], [0], [122649233588224], [95367431640625], [0], [693809897557924], [0], [0], [0], [0], [1125899906842624], [-4841243268126076], [-3434020622104576], [0], [10025219837132800], [0], [-1039006138906624], [0], [0], [-25418071370591326], [0], [2781113986388498], [-44441821486514176], [0], [0], [0], [125592815194341376], [79792266297612001], [97656250000000000], [-383060976152848924], [0], [0], [710461335099314176], [0], [0], [-115899917209714876], [0], [-173912197184497198], [0], [0], [0], [0], [1152921504606846976], [0], [-4957433106561101824], [-356137514166464974], [-3516437117035085824], [0], [0], [0], [10265825113223987200], [-6016717170316692574], [0], [10893440246582031250], [-1063942286240382976], [0], [0], [0], [0], [45914699624497562149], [-26028105083485517824], [-31022856480301602574], [0], [0], [2847860722061821952], [0], [-45508425202190516224], [61202446863210984674], [0], [0], [0], [0], [0], [0], [128607042759005569024], [-50009130514058267902], [81707280688754689024], [-405215387549939459050], [100000000000000000000]], 'ap': [[1024], [114226], [0], [0], [-42383023726], [0], [-3353535763774], [-1014654432526], [0], [0], [0], [0], [-25418071370591326], [2781113986388498], [0], [0], [-173912197184497198], [0], [-356137514166464974], [0], [-6016717170316692574], [0], [-31022856480301602574], [61202446863210984674], [-50009130514058267902], [0], [0], [362646817436936119826], [0], [152948156188402348226], [0], [2172940798248513783602], [2116403153546311797026], [2542390685813946237074], [0], [0], [0], [70679155446967099826], [0], [0], [-39223372648761065424526], [0], [0], [120383610792393698116226], [0], [0], [-282329070495580832698126], [0], [-221143024593650726842702], [0], [-785873597218067503579102], [0], [713387456315373240363074], [-1557659566675807116852526], [1504072781429979874730498], [0], [0], [0], [0], [2044201570035889992261602], [-768741734404861133171374], [0], [2648673660753493352909426], [0], [15361771727312529620841698], [0], [-30869067915369365901199726], [1119420523751313423925826], [-50399363804099416022118574], [0], [56278995596599716081204098], [0], [0], [0], [-38300763970462329736039726], [0], [0], [0], [-213089545138808110344990526], [127052872960919940563429474], [-316628626680511185268219726], [0], [0], [-240752313245869391105194174], [0], [130434004735451145461743826], [-595619891910556202636166526], [694600393489111328145621026], [0], [0], [-922043394124427772387481102], [0], [0], [1592017643284972790583958802], [1906410415724761290365670002], [0], [0], [-2578847374310616289494728926], [2215975393325985240020878226], [0], [-4193734846312413088332580174], [0], [2783556262732588270063491698], [-6379846809300183052622884126], [-7293818093842084499630007598], [-8179427373801150559795819774], [-7681620219008736577914884974], [3000070015661982055752489026], [0], [8693914607092565996378626274], [0], [0], [14724151424646361280371684898], [6025243609314221615043602], [0], [17717516320241974305527356802], [-23577429124348807443383415502], [0], [0], [19664596970449202819587161074], [0], [-28219027856515271390638408702], [0], [43426496426662293004708894226], [-38470608195480230913220176526], [0], [0], [0], [0], [0], [56880724049162662781047489202], [0], [0], [0], [-71600271564380232994720976926], [-43262309314102930835906483326], [0], [-182292238457966560495503884302], [0], [-124018793203811569402461487198], [-111744825141209354978463874798], [0], [0], [219923573660836889621248803026], [0], [0], [0], [-35015307561134012444840239774], [-425331847184040057801762737326], [0], [0], [559187941648255434910886673602], [450563832873710856514085511026], [0], [-739354968149790967985726043502], [0], [0], [-933454634145842574031780377598], [734116307275545394923391182626], [0], [-842381928210016083425331413902], [-907851930598533072717177804574], [0], [-767973221757635946827978518126], [-546005287302852786846817613374], [0], [0], [0]], 'char_orbit_index': 4, 'field_poly': [0, 1], 'hecke_orbit_code': 206510751752, 'hecke_ring_character_values': [[7, [-1]], [5, [-1]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '8.21.d.a', 'level': 8, 'maxp': 997, 'weight': 21}
• 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

  
  {'Nk2': 3528, 'analytic_conductor': 20.28110120821293, 'char_conductor': 8, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [8, 2, [7, 5], [1, 1]], 'conrey_index': 3, 'cusp_dim': 19, 'dim': 19, 'eis_dim': 2, 'eis_new_dim': 2, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 206510751752, 'hecke_orbit_dims': [1, 18], 'label': '8.21.d', 'level': 8, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 21, 'mf_new_dim': 21, 'num_forms': 2, 'prim_orbit_index': 4, 'relative_dim': 19, 'sturm_bound': 21, 'trace_bound': 1, 'trace_display': [626, -2, 0, 0], 'traces': [19, 626, -2, 1773556, 0, 25323676, 0, -2031549544, 19758444937, 742754160, -14520628706, -92518091912, 0, -431248136928, 0, 140976757264, 990389375398, 5272759222774, 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• 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: 4761
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 4, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '8.21.d.a', 'source_level': 8, 'target_char_orbit': 4, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '8.21.d.a', 'target_level': 8, 'twist_class_label': '8.21.d.a', 'twist_class_level': 8, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 21}
  • id: 4762
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -8, 'source_char_orbit': 4, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '8.21.d.a', 'source_level': 8, 'target_char_orbit': 4, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '8.21.d.a', 'target_level': 8, 'twist_class_label': '8.21.d.a', 'twist_class_level': 8, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 21}
  • id: 4763
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '8.21.d.a', 'source_level': 8, 'target_char_orbit': 4, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '32.21.d.a', 'target_level': 32, 'twist_class_label': '8.21.d.a', 'twist_class_level': 8, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 21}
  • id: 4764
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '8.21.d.a', 'source_level': 8, 'target_char_orbit': 4, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '32.21.d.a', 'target_level': 32, 'twist_class_label': '8.21.d.a', 'twist_class_level': 8, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 21}
  • id: 4765
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '8.21.d.a', 'source_level': 8, 'target_char_orbit': 2, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '72.21.b.a', 'target_level': 72, 'twist_class_label': '8.21.d.a', 'twist_class_level': 8, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 21}
  • id: 4766
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '8.21.d.a', 'source_level': 8, 'target_char_orbit': 2, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '72.21.b.a', 'target_level': 72, 'twist_class_label': '8.21.d.a', 'twist_class_level': 8, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 21}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 33800
    {'charpoly_factorization': [[[-1024, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 2}
  • id: 33801
    {'charpoly_factorization': [[[-114226, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 3}
  • id: 33802
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 5}
  • id: 33803
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 7}
  • id: 33804
    {'charpoly_factorization': [[[42383023726, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 11}
  • id: 33805
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 13}
  • id: 33806
    {'charpoly_factorization': [[[3353535763774, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 17}
  • id: 33807
    {'charpoly_factorization': [[[1014654432526, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 19}
  • id: 33808
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 23}
  • id: 33809
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 29}
  • id: 33810
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 31}
  • id: 33811
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 37}
  • id: 33812
    {'charpoly_factorization': [[[25418071370591326, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 41}
  • id: 33813
    {'charpoly_factorization': [[[-2781113986388498, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 43}
  • id: 33814
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 47}
  • id: 33815
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 53}
  • id: 33816
    {'charpoly_factorization': [[[173912197184497198, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 59}
  • id: 33817
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 61}
  • id: 33818
    {'charpoly_factorization': [[[356137514166464974, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 67}
  • id: 33819
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 71}
  • id: 33820
    {'charpoly_factorization': [[[6016717170316692574, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 73}
  • id: 33821
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 79}
  • id: 33822
    {'charpoly_factorization': [[[31022856480301602574, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 83}
  • id: 33823
    {'charpoly_factorization': [[[-61202446863210984674, 1], 1]], 'hecke_orbit_code': 206510751752, 'p': 89}
  • id: 33824
    {'charpoly_factorization': [[[50009130514058267902, 1], 1]], 'hecke_orbit_code': 206510751752, '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': 4, 'hecke_orbit': 1, 'label': '8.21.d.a', 'level': 8, 'portrait': 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', 'weight': 21}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 7268958
    {'hecke_orbit_code': 206510751752, 'n': 1, 'trace_an': 1}
  • id: 7268959
    {'hecke_orbit_code': 206510751752, 'n': 2, 'trace_an': 1024}
  • id: 7268960
    {'hecke_orbit_code': 206510751752, 'n': 3, 'trace_an': 114226}
  • id: 7268961
    {'hecke_orbit_code': 206510751752, 'n': 4, 'trace_an': 1048576}
  • id: 7268962
    {'hecke_orbit_code': 206510751752, 'n': 5, 'trace_an': 0}
  • id: 7268963
    {'hecke_orbit_code': 206510751752, 'n': 6, 'trace_an': 116967424}
  • id: 7268964
    {'hecke_orbit_code': 206510751752, 'n': 7, 'trace_an': 0}
  • id: 7268965
    {'hecke_orbit_code': 206510751752, 'n': 8, 'trace_an': 1073741824}
  • id: 7268966
    {'hecke_orbit_code': 206510751752, 'n': 9, 'trace_an': 9560794675}
  • id: 7268967
    {'hecke_orbit_code': 206510751752, 'n': 10, 'trace_an': 0}
  • id: 7268968
    {'hecke_orbit_code': 206510751752, 'n': 11, 'trace_an': -42383023726}
  • id: 7268969
    {'hecke_orbit_code': 206510751752, 'n': 12, 'trace_an': 119774642176}
  • id: 7268970
    {'hecke_orbit_code': 206510751752, 'n': 13, 'trace_an': 0}
  • id: 7268971
    {'hecke_orbit_code': 206510751752, 'n': 14, 'trace_an': 0}
  • id: 7268972
    {'hecke_orbit_code': 206510751752, 'n': 15, 'trace_an': 0}
  • id: 7268973
    {'hecke_orbit_code': 206510751752, 'n': 16, 'trace_an': 1099511627776}
  • id: 7268974
    {'hecke_orbit_code': 206510751752, 'n': 17, 'trace_an': -3353535763774}
  • id: 7268975
    {'hecke_orbit_code': 206510751752, 'n': 18, 'trace_an': 9790253747200}
  • id: 7268976
    {'hecke_orbit_code': 206510751752, 'n': 19, 'trace_an': -1014654432526}
  • id: 7268977
    {'hecke_orbit_code': 206510751752, 'n': 20, 'trace_an': 0}
  • id: 7268978
    {'hecke_orbit_code': 206510751752, 'n': 21, 'trace_an': 0}
  • id: 7268979
    {'hecke_orbit_code': 206510751752, 'n': 22, 'trace_an': -43400216295424}
  • id: 7268980
    {'hecke_orbit_code': 206510751752, 'n': 23, 'trace_an': 0}
  • id: 7268981
    {'hecke_orbit_code': 206510751752, 'n': 24, 'trace_an': 122649233588224}
  • id: 7268982
    {'hecke_orbit_code': 206510751752, 'n': 25, 'trace_an': 95367431640625}
  • id: 7268983
    {'hecke_orbit_code': 206510751752, 'n': 26, 'trace_an': 0}
  • id: 7268984
    {'hecke_orbit_code': 206510751752, 'n': 27, 'trace_an': 693809897557924}
  • id: 7268985
    {'hecke_orbit_code': 206510751752, 'n': 28, 'trace_an': 0}
  • id: 7268986
    {'hecke_orbit_code': 206510751752, 'n': 29, 'trace_an': 0}
  • id: 7268987
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  • id: 7269172
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  • id: 7269173
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  • id: 7269176
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  • id: 7269177
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  • id: 7269178
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  • id: 7269179
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  • id: 7269180
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  • id: 7269181
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  • id: 7269182
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  • id: 7269184
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  • id: 7269185
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  • id: 7269186
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  • id: 7269187
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  • id: 7269188
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  • id: 7269189
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  • id: 7269190
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  • id: 7269191
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  • id: 7269192
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  • id: 7269193
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  • id: 7269194
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  • id: 7269195
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  • id: 7269196
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  • id: 7269197
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  • id: 7269198
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  • id: 7269199
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  • id: 7269200
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  • id: 7269201
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  • id: 7269202
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  • id: 7269203
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  • id: 7269204
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  • id: 7269205
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  • id: 7269206
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  • id: 7269208
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  • id: 7269209
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  • id: 7269210
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  • id: 7269211
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  • id: 7269212
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  • id: 7269213
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  • id: 7269214
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  • id: 7269215
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