Embedded newform data - 12.22.a.a.1.1

Formats: - HTML - YAML - JSON - 2026-05-09T14:54:30.218257

• 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': 5808, 'analytic_conductor': 33.537281314447455, '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': [12, 1, [7, 5], [1, 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, [11268090, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 369098764, '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': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '12.22.a.a', 'level': 12, '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': '12.22.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+3^{10}q^{3}-11268090q^{5}+281914136q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '21.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '12.22.a', 'trace_display': [0, 59049, -11268090, 281914136], 'trace_hash': 138212287562824337, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.002', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.978', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.936', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 0, 59049, 0, -11268090, 0, 281914136, 0, 3486784401, 0, -36172082484, 0, -449098578370, 0, -665369446410, 0, 2121858786546, 0, -4609406233900, 0, 16646747816664, 0, 95095276921656, 0, -349867305955025, 0, 205891132094649, 0, -2245742383351266, 0, -3155693201792656, 0, -2135925298597716, 0, -3176633856720240, 0, -18178503074861482, 0, -26518821954170130, 0, -169649739387485910, 0, -158968551608988244, 0, -39289400441064090, 0, -134697468442682736, 0, -479070284006657511, 0, 125293639486754754, 0, -15637375269722538, 0, 407590280917135560, 0, -272180828705561100, 0, 2977241337691499484, 0, 3603855625679330702, 0, 982973811826192536, 0, 5060483199945213300, 0, 21066199531967164004, 0, 5615281006946865144, 0, 21980089544074358760, 0, -17054415965500339222, 0, -20659314549338271225, 0, -10197421380797593824, 0, -115020124425041803552, 0, 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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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.5773502691896257, 0.0], [0.0, 0.0], [-0.5160184876356732, 0.0], [0.0, 0.0], [0.37721367880656903, 0.0], [0.0, 0.0], [0.3333333333333333, 0.0], [0.0, 0.0], [-0.42048481658075365, 0.0], [0.0, 0.0], [-0.903517317667934, 0.0], [0.0, 0.0], [-0.2979234127432795, 0.0], [0.0, 0.0], [0.25527177781597066, 0.0], [0.0, 0.0], [-0.1724773912714146, 0.0], [0.0, 0.0], [0.21778441900098167, 0.0], [0.0, 0.0], [0.4786484636529395, 0.0], [0.0, 0.0], [-0.7337249204181926, 0.0], [0.0, 0.0], [0.19245008972987526, 0.0], [0.0, 0.0], [-0.9912448808251868, 0.0], [0.0, 0.0], [-0.6915076500099936, 0.0], [0.0, 0.0], [-0.24276702204304854, 0.0], [0.0, 0.0], [-0.19464923205325435, 0.0], [0.0, 0.0], [-0.6214984005223687, 0.0], [0.0, 0.0], [-0.5216459665730703, 0.0], [0.0, 0.0], [-1.973888883816457, 0.0], [0.0, 0.0], [-1.121740586637785, 0.0], [0.0, 0.0], [-0.1720061625452244, 0.0], [0.0, 0.0], [-0.3735355366907753, 0.0], [0.0, 0.0], [-0.8577098405212146, 0.0], [0.0, 0.0], [0.14738122963856498, 0.0], [0.0, 0.0], [-0.012281947250064049, 0.0], [0.0, 0.0], [0.21697793912576394, 0.0], [0.0, 0.0], [-0.09957986827967563, 0.0], [0.0, 0.0], [0.7583469040647101, 0.0], [0.0, 0.0], [0.6468507957343533, 0.0], [0.0, 0.0], [0.125737892935523, 0.0], [0.0, 0.0], [0.4662316398156474, 0.0], [0.0, 0.0], [1.4118896838176718, 0.0], [0.0, 0.0], [0.27634781933722546, 0.0], [0.0, 0.0], [0.8013399522218042, 0.0], [0.0, 0.0], [-0.46445839830124286, 0.0], [0.0, 0.0], [-0.4236162803145802, 0.0], [0.0, 0.0], [-0.1586126245447315, 0.0], [0.0, 0.0], [-1.366750918797859, 0.0], [0.0, 0.0], [0.1111111111111111, 0.0], [0.0, 0.0], [-0.683573722980628, 0.0], [0.0, 0.0], [-0.13172495672466675, 0.0], [0.0, 0.0], [-0.57229549877726, 0.0], [0.0, 0.0], [0.20541874341528665, 0.0], [0.0, 0.0], [-0.34081909126296484, 0.0], [0.0, 0.0], [-0.3992421278799553, 0.0], [0.0, 0.0], [0.08900152259522162, 0.0], [0.0, 0.0], [-0.561520414381104, 0.0], [0.0, 0.0], [-0.14016160552691787, 0.0], [0.0, 0.0]], 'angles': [None, None, -0.2915332512262933, -0.21980141084081178, -0.28371266212080787, -0.3246015938290435, -0.22963055375407507, -0.26374238467145467, -0.2115370571621886, -0.3325300087224546, -0.3061883856457776, -0.30028996268970076, -0.47425419463837903, -0.34476668253607506, -0.2799005961784952, -0.25097737245092594, -0.18810418396527656, -0.19758276261782953, -0.12526131381660854, -0.18438869832880694, -0.28730097119475834, -0.3697443883076768, -0.30551604659319953, -0.23362441767475936, -0.29529328188460224, -0.07923302002577606, -0.19660743885331472, -0.10471531808899139, -0.2679172883974777, -0.15629294963644513, -0.378972028803902, -0.22452554530897328, -0.16954609795353234, -0.37249315394948157, -0.06906278970626323, -0.24382738717720612, -0.0842013518398027, -0.34712558909316893, -0.32946264684836857, -0.31436578187928965, -0.3954816283882039, -0.24570187674644525, -0.3868092054730401, -0.13951392543826074, -0.2588003218552196, -0.18384236882146915, -0.2633511380545371, -0.2518658395407868, -0.3386251495690919, -0.3652961950980774, -0.32880326300751656, -0.06713890477998065, -0.29727091616025053, -0.17151061890897362, -0.17771551502455857, -0.14061659631965648, -0.1979338529936051, -0.214087189790808, -0.2722694228521168, -0.34006981305600814, -0.22903929752171218, -0.2787363415755022, -0.19832213854081013, -0.3532569647201813, -0.1197289271666734, -0.2125096273317084, -0.23422213263429004, -0.20150381537599274, -0.34927128085493747, -0.25325249385702675, -0.16214043723152002, -0.31337786193163675, -0.36922161579724927, -0.22665264650009923, -0.1625960734850637, -0.09665780766889953, -0.1691648700047857, -0.27609413325487164, -0.26391927466182735, -0.37907679351730134, -0.30100626958504656, -0.2921175294878423, -0.35612382711753654, -0.29273334164698955, -0.19078910710006747, -0.44691571199417973, -0.26237877397177145, -0.26014065171314416, -0.23970762556487107, -0.16686543255834593, -0.24240758309499585, -0.28341180783861675, -0.2884766126554366, -0.34046550586353547, -0.2766358079963264, -0.39009494136786177, -0.08470120982922759, -0.14470869726413435, -0.3099508418795657, -0.16646850507165692], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 1, 'hecke_orbit_code': 369098764, 'label': '12.22.a.a.1.1', 'level': 12, 'weight': 22}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [0, 0, 2, 1], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [2, 2, 1, 1], 'ALdims_old': [9, 10, 8, 9], 'Nk2': 5808, 'analytic_conductor': 33.537281314447455, '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': [12, 1, [7, 5], [1, 1]], 'conrey_index': 1, 'cusp_dim': 39, 'dim': 3, 'eis_dim': 6, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 369098764, 'hecke_orbit_dims': [1, 2], 'label': '12.22.a', 'level': 12, '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': 45, 'mf_new_dim': 3, 'num_forms': 2, 'plus_dim': 1, 'prim_orbit_index': 1, 'relative_dim': 3, 'sturm_bound': 44, 'trace_bound': 1, 'trace_display': [0, -59049, 17559810, 791583864], 'traces': [3, 0, -59049, 0, 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• 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: 467407
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 369098764, 'source_is_minimal': True, 'source_label': '12.22.a.a.1.1', 'source_level': 12, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 369098764, 'target_is_minimal': True, 'target_label': '12.22.a.a.1.1', 'target_level': 12, 'twist_class_label': '12.22.a.a.1.1', 'twist_class_level': 12, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 22}
  • id: 467408
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 369098764, 'source_is_minimal': True, 'source_label': '12.22.a.a.1.1', 'source_level': 12, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 369098788, 'target_is_minimal': False, 'target_label': '36.22.a.a.1.1', 'target_level': 36, 'twist_class_label': '12.22.a.a.1.1', 'twist_class_level': 12, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 22}
  • id: 467409
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 369098764, 'source_is_minimal': True, 'source_label': '12.22.a.a.1.1', 'source_level': 12, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599996469296, 'target_is_minimal': False, 'target_label': '48.22.a.b.1.1', 'target_level': 48, 'twist_class_label': '12.22.a.a.1.1', 'twist_class_level': 12, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 22}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 53400
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 2}
  • id: 53401
    {'charpoly_factorization': [[[-59049, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 3}
  • id: 53402
    {'charpoly_factorization': [[[11268090, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 5}
  • id: 53403
    {'charpoly_factorization': [[[-281914136, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 7}
  • id: 53404
    {'charpoly_factorization': [[[36172082484, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 11}
  • id: 53405
    {'charpoly_factorization': [[[449098578370, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 13}
  • id: 53406
    {'charpoly_factorization': [[[-2121858786546, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 17}
  • id: 53407
    {'charpoly_factorization': [[[4609406233900, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 19}
  • id: 53408
    {'charpoly_factorization': [[[-95095276921656, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 23}
  • id: 53409
    {'charpoly_factorization': [[[2245742383351266, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 29}
  • id: 53410
    {'charpoly_factorization': [[[3155693201792656, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 31}
  • id: 53411
    {'charpoly_factorization': [[[18178503074861482, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 37}
  • id: 53412
    {'charpoly_factorization': [[[169649739387485910, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 41}
  • id: 53413
    {'charpoly_factorization': [[[158968551608988244, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 43}
  • id: 53414
    {'charpoly_factorization': [[[134697468442682736, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 47}
  • id: 53415
    {'charpoly_factorization': [[[15637375269722538, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 53}
  • id: 53416
    {'charpoly_factorization': [[[-2977241337691499484, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 59}
  • id: 53417
    {'charpoly_factorization': [[[-3603855625679330702, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 61}
  • id: 53418
    {'charpoly_factorization': [[[-21066199531967164004, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 67}
  • id: 53419
    {'charpoly_factorization': [[[-21980089544074358760, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 71}
  • id: 53420
    {'charpoly_factorization': [[[17054415965500339222, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 73}
  • id: 53421
    {'charpoly_factorization': [[[115020124425041803552, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 79}
  • id: 53422
    {'charpoly_factorization': [[[96628520442403345644, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 83}
  • id: 53423
    {'charpoly_factorization': [[[-60427571095732966650, 1], 1]], 'hecke_orbit_code': 369098764, 'p': 89}
  • id: 53424
    {'charpoly_factorization': [[[407820224794143352798, 1], 1]], 'hecke_orbit_code': 369098764, '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': '12.22.a.a', 'level': 12, 'portrait': 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', 'weight': 22}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 3993066
    {'hecke_orbit_code': 369098764, 'n': 1, 'trace_an': 1}
  • id: 3993067
    {'hecke_orbit_code': 369098764, 'n': 2, 'trace_an': 0}
  • id: 3993068
    {'hecke_orbit_code': 369098764, 'n': 3, 'trace_an': 59049}
  • id: 3993069
    {'hecke_orbit_code': 369098764, 'n': 4, 'trace_an': 0}
  • id: 3993070
    {'hecke_orbit_code': 369098764, 'n': 5, 'trace_an': -11268090}
  • id: 3993071
    {'hecke_orbit_code': 369098764, 'n': 6, 'trace_an': 0}
  • id: 3993072
    {'hecke_orbit_code': 369098764, 'n': 7, 'trace_an': 281914136}
  • id: 3993073
    {'hecke_orbit_code': 369098764, 'n': 8, 'trace_an': 0}
  • id: 3993074
    {'hecke_orbit_code': 369098764, 'n': 9, 'trace_an': 3486784401}
  • id: 3993075
    {'hecke_orbit_code': 369098764, 'n': 10, 'trace_an': 0}
  • id: 3993076
    {'hecke_orbit_code': 369098764, 'n': 11, 'trace_an': -36172082484}
  • id: 3993077
    {'hecke_orbit_code': 369098764, 'n': 12, 'trace_an': 0}
  • id: 3993078
    {'hecke_orbit_code': 369098764, 'n': 13, 'trace_an': -449098578370}
  • id: 3993079
    {'hecke_orbit_code': 369098764, 'n': 14, 'trace_an': 0}
  • id: 3993080
    {'hecke_orbit_code': 369098764, 'n': 15, 'trace_an': -665369446410}
  • id: 3993081
    {'hecke_orbit_code': 369098764, 'n': 16, 'trace_an': 0}
  • id: 3993082
    {'hecke_orbit_code': 369098764, 'n': 17, 'trace_an': 2121858786546}
  • id: 3993083
    {'hecke_orbit_code': 369098764, 'n': 18, 'trace_an': 0}
  • id: 3993084
    {'hecke_orbit_code': 369098764, 'n': 19, 'trace_an': -4609406233900}
  • id: 3993085
    {'hecke_orbit_code': 369098764, 'n': 20, 'trace_an': 0}
  • id: 3993086
    {'hecke_orbit_code': 369098764, 'n': 21, 'trace_an': 16646747816664}
  • id: 3993087
    {'hecke_orbit_code': 369098764, 'n': 22, 'trace_an': 0}
  • id: 3993088
    {'hecke_orbit_code': 369098764, 'n': 23, 'trace_an': 95095276921656}
  • id: 3993089
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