Embedded newform data - 325.10.a.b.1.3

Formats: - HTML - YAML - JSON - 2025-01-24T10:27:45.527711

• 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': 32500, 'analytic_conductor': 167.38664675325876, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[5, 1], [13, 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': [325, 1, [27, 301], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 5, 'field_disc': 10515371753027290161, 'field_disc_factorization': [[3, 1], [47, 1], [719, 1], [1910087, 1], [54302957, 1]], 'field_poly': [-59580, 396957, -4164, -1438, 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': [[2, [1249344, 383520, -8508, -1348, 15, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599795142981, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 12, 'hecke_ring_index_factorization': [[2, 2], [3, 1]], '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': False, 'label': '325.10.a.b', 'level': 325, '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': [5, 13], 'level_radical': 65, 'minimal_twist': '13.10.a.b', 'prim_orbit_index': 1, 'qexp_display': 'q+(-3-\\beta _{1})q^{2}+(-2^{5}-2\\beta _{1}+\\beta _{2}+\\cdots)q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 5, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '325.10.a', 'trace_display': [-15, -161, 0, -10099], 'trace_hash': 2074525300409532067, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.721', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '62.822', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1268.399', 'prec': 27}], 'trace_zratio': 0, 'traces': [5, -15, -161, 361, 0, 5693, -10099, -23151, 61060, 0, 121746, -113389, -142805, 8475, 0, -322463, 495669, 656228, -840738, 0, -1599467, 2023594, 592152, -2295657, 0, 428415, -6847883, -2587955, 10678182, 0, 12885296, -3282927, -17278298, -9934079, 0, -20483302, -7171823, 25568814, 4598321, 0, 9294012, 69520457, -12831975, -41479074, 0, -59319696, -43354215, 86874671, 25249488, 0, 16905901, -10310521, -93231780, 58983719, 0, 199599225, -90173382, -151020970, 246496182, 0, -132232612, -158135724, 416955202, 91019105, 0, -323733130, 369388534, -238172073, -579986760, 0, 212150457, 415774278, 252729806, 192105957, 0, -953775990, -449666118, -162597773, -1247271728, 0, -317713115, -169559388, 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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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-0.30499954616778663, -0.12133922606060756, -0.2744125803357507, -0.27279538036235546, -0.13407507389994414, -0.1395893953760082, -0.1865108864851527, -0.21866866739608, -0.08356673060662587, -0.29593463003458265, -0.14249354129828926, -0.23697180868972617, -0.43992112692166563, -0.0719222446315296, -0.3440415069547726, -0.23111918653256558, -0.28493325274245185, -0.41275505492976194, -0.298441054515616, -0.3292309552648001, -0.24515999169895158, -0.3289001586957444, -0.3231287781166057, -0.15423974914897587, -0.39243195683430887, -0.2921395442764883, -0.18735638463783105, -0.22121225834457328], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.1503412286914866, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599795142981, 'label': '325.10.a.b.1.3', 'level': 325, 'weight': 10}
• 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': [39, 42, 46, 44], 'Nk2': 32500, 'analytic_conductor': 167.38664675325876, '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': [325, 1, [27, 301], [1, 1]], 'conrey_index': 1, 'cusp_dim': 308, 'dim': 171, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 167772485, 'hecke_orbit_dims': [4, 5, 7, 9, 10, 10, 17, 17, 19, 19, 27, 27], 'label': '325.10.a', 'level': 325, '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': [5, 13], 'level_radical': 65, 'mf_dim': 320, 'mf_new_dim': 171, 'num_forms': 12, 'plus_dim': 83, 'prim_orbit_index': 1, 'relative_dim': 171, 'sturm_bound': 350, 'trace_bound': 2, 'trace_display': [-18, 294, 0, 10746], 'traces': [171, -18, 294, 44630, 0, -7244, 10746, -20964, 1066653, 0, -50586, 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17867585522538, -121006681011920, 0, 506094237171323, 84430846003088, -8002078896924, -30184823706092, 0, 260396307403820, 132472295397318, -2933521074584, -67693887005964, 0, -210960423595170, 112989913258772, -220960721443228, 301975245576616, 0, -250328685890224, 127426222656042, -122881984984520, 218509547786496, 0, 46993361099666, -278229537966300, 184320015650386, -264125693327924, 0, -138550731928920, 15754738825058, -19392772653436, 87242140053932, 0, -153229943503112, -146093081485340, 238379142074084, -353612007491552, 0, -160410856575112, 89560036099010, 17289745856428, 68787429703096, 0], 'weight': 10, '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: 34465502
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4503599795142981, 'source_is_minimal': False, 'source_label': '325.10.a.b.1.3', 'source_level': 325, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4503599795142981, 'target_is_minimal': False, 'target_label': '325.10.a.b.1.3', 'target_level': 325, 'twist_class_label': '13.10.a.b.1.3', 'twist_class_level': 13, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 34465503
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4503599795142981, 'source_is_minimal': False, 'source_label': '325.10.a.b.1.3', 'source_level': 325, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4503599795142669, 'target_is_minimal': True, 'target_label': '13.10.a.b.1.3', 'target_level': 13, 'twist_class_label': '13.10.a.b.1.3', 'twist_class_level': 13, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 10}
  • id: 34465504
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4503599795142981, 'source_is_minimal': False, 'source_label': '325.10.a.b.1.3', 'source_level': 325, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18014398677254261, 'target_is_minimal': False, 'target_label': '117.10.a.e.1.3', 'target_level': 117, 'twist_class_label': '13.10.a.b.1.3', 'twist_class_level': 13, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 10}
  • id: 34465505
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4503599795142981, 'source_is_minimal': False, 'source_label': '325.10.a.b.1.3', 'source_level': 325, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 4, 'target_hecke_orbit_code': 31525197559365840, 'target_is_minimal': False, 'target_label': '208.10.a.h.1.4', 'target_level': 208, 'twist_class_label': '13.10.a.b.1.3', 'twist_class_level': 13, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 10}
  • id: 34465506
    {'conductor': 65, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4503599795142981, 'source_is_minimal': False, 'source_label': '325.10.a.b.1.3', 'source_level': 325, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4503599795142825, 'target_is_minimal': False, 'target_label': '169.10.a.b.1.3', 'target_level': 169, 'twist_class_label': '13.10.a.b.1.3', 'twist_class_level': 13, 'twisting_char_label': '65.64', 'twisting_conrey_index': 64, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 716175
    {'charpoly_factorization': [[[1249344, 383520, -8508, -1348, 15, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 2}
  • id: 716176
    {'charpoly_factorization': [[[62057286864, 1090724832, -7746921, -66777, 161, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 3}
  • id: 716177
    {'charpoly_factorization': [[[0, 1], 5]], 'hecke_orbit_code': 4503599795142981, 'p': 5}
  • id: 716178
    {'charpoly_factorization': [[[5684631812366849888, -556625160811972, -772947069643, -62513861, 10099, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 7}
  • id: 716179
    {'charpoly_factorization': [[[-19450453762899214039296, -2162481301083825888, 100685267329800, 2479670132, -121746, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 11}
  • id: 716180
    {'charpoly_factorization': [[[28561, 1], 5]], 'hecke_orbit_code': 4503599795142981, 'p': 13}
  • id: 716181
    {'charpoly_factorization': [[[399153090461429727080315892, 17126546902780079776656, 98882562477434877, -289191316885, -495669, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 17}
  • id: 716182
    {'charpoly_factorization': [[[-2943821455732214929563897600, 43590663172787565531168, -132037771414811912, -260984517612, 840738, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 19}
  • id: 716183
    {'charpoly_factorization': [[[428621968496899390019183050752, -2574986399360436795752448, 5203750196460916224, -3493027002432, -592152, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 23}
  • id: 716184
    {'charpoly_factorization': [[[-44459311911325939063349211345120, -5368198298306611736512176, 72928748649832496976, 16260933487592, -10678182, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 29}
  • id: 716185
    {'charpoly_factorization': [[[48102238044029854183074610622464, -302260787091748018727890688, 105055140872487792640, 32338285004512, -12885296, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 31}
  • id: 716186
    {'charpoly_factorization': [[[51510793797841272350692715200003748, 6766082189398987208105351416, -2641277396215514731471, -294915826692917, 7171823, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 37}
  • id: 716187
    {'charpoly_factorization': [[[494782986122239059884653191807270912, 138693246906168815606880689664, 3176296057078183644768, -1064915461247484, -9294012, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 41}
  • id: 716188
    {'charpoly_factorization': [[[-16185929811522090497298671067442009008, 1401924732869580555364611427320, 1063158495960812067089, -2190268153760577, 12831975, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 43}
  • id: 716189
    {'charpoly_factorization': [[[10856493902269268859639670525864260864, 1107959277012333917870538355356, -118384348682900685487527, -3068542687682205, 43354215, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 47}
  • id: 716190
    {'charpoly_factorization': [[[36723519617807505912655816002716762112, 1204843160261172809898664644096, -129076946266905410876064, -2145547062601020, 93231780, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 53}
  • id: 716191
    {'charpoly_factorization': [[[-4372455985727469565995467194585904697600, -310469412650158482140152192248864, 5930341249581317084193432, -10091472046384188, -246496182, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 59}
  • id: 716192
    {'charpoly_factorization': [[[578110697319573188159158003609953783808, -8951528105021696916307122275072, -1049889574460517545593856, -6538173996828668, 132232612, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 61}
  • id: 716193
    {'charpoly_factorization': [[[8568994877041624094412008079312263608064, -273369432837307438768980109950752, 1402869766077392493965528, 31699487729867620, -369388534, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 67}
  • id: 716194
    {'charpoly_factorization': [[[-41821928126676484730584325399818860813792, 1522066704005485905711115864136076, 4880249511470949355321833, -103163802673700829, -212150457, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 71}
  • id: 716195
    {'charpoly_factorization': [[[-1670294301045437304637381500483582889726816, 7409006510820583446681290412435536, 44119689947951932040208272, -180925206782132312, -252729806, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 73}
  • id: 716196
    {'charpoly_factorization': [[[-410024861234306597370828654020014035107840, 2253193366828739192300052181815296, 86820229442392262196871168, 535977005216281984, 1247271728, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 79}
  • id: 716197
    {'charpoly_factorization': [[[526809733080455133331026189945941188122624, 18546842306111067162747956572418304, 216125993836531517484173568, 965304229131652832, 1696894296, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 83}
  • id: 716198
    {'charpoly_factorization': [[[-1903086219907992929581753200277786862796960, 61162600944059411370271828202285904, -170822820065517807458198544, -360717372948090904, 753854382, 1], 1]], 'hecke_orbit_code': 4503599795142981, 'p': 89}
  • id: 716199
    {'charpoly_factorization': [[[142814432358561470129404623607552203752395232, 1438608683131201717747160784795813904, -153757537448202660807707632, -2441997563116303880, 3824606, 1], 1]], 'hecke_orbit_code': 4503599795142981, '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': 2, 'label': '325.10.a.b', 'level': 325, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 19765188
    {'hecke_orbit_code': 4503599795142981, 'n': 1, 'trace_an': 5}
  • id: 19765189
    {'hecke_orbit_code': 4503599795142981, 'n': 2, 'trace_an': -15}
  • id: 19765190
    {'hecke_orbit_code': 4503599795142981, 'n': 3, 'trace_an': -161}
  • id: 19765191
    {'hecke_orbit_code': 4503599795142981, 'n': 4, 'trace_an': 361}
  • id: 19765192
    {'hecke_orbit_code': 4503599795142981, 'n': 5, 'trace_an': 0}
  • id: 19765193
    {'hecke_orbit_code': 4503599795142981, 'n': 6, 'trace_an': 5693}
  • id: 19765194
    {'hecke_orbit_code': 4503599795142981, 'n': 7, 'trace_an': -10099}
  • id: 19765195
    {'hecke_orbit_code': 4503599795142981, 'n': 8, 'trace_an': -23151}
  • id: 19765196
    {'hecke_orbit_code': 4503599795142981, 'n': 9, 'trace_an': 61060}
  • id: 19765197
    {'hecke_orbit_code': 4503599795142981, 'n': 10, 'trace_an': 0}
  • id: 19765198
    {'hecke_orbit_code': 4503599795142981, 'n': 11, 'trace_an': 121746}
  • id: 19765199
    {'hecke_orbit_code': 4503599795142981, 'n': 12, 'trace_an': -113389}
  • id: 19765200
    {'hecke_orbit_code': 4503599795142981, 'n': 13, 'trace_an': -142805}
  • id: 19765201
    {'hecke_orbit_code': 4503599795142981, 'n': 14, 'trace_an': 8475}
  • id: 19765202
    {'hecke_orbit_code': 4503599795142981, 'n': 15, 'trace_an': 0}
  • id: 19765203
    {'hecke_orbit_code': 4503599795142981, 'n': 16, 'trace_an': -322463}
  • id: 19765204
    {'hecke_orbit_code': 4503599795142981, 'n': 17, 'trace_an': 495669}
  • id: 19765205
    {'hecke_orbit_code': 4503599795142981, 'n': 18, 'trace_an': 656228}
  • id: 19765206
    {'hecke_orbit_code': 4503599795142981, 'n': 19, 'trace_an': -840738}
  • id: 19765207
    {'hecke_orbit_code': 4503599795142981, 'n': 20, 'trace_an': 0}
  • id: 19765208
    {'hecke_orbit_code': 4503599795142981, 'n': 21, 'trace_an': -1599467}
  • id: 19765209
    {'hecke_orbit_code': 4503599795142981, 'n': 22, 'trace_an': 2023594}
  • id: 19765210
    {'hecke_orbit_code': 4503599795142981, 'n': 23, 'trace_an': 592152}
  • id: 19765211
    {'hecke_orbit_code': 4503599795142981, 'n': 24, 'trace_an': -2295657}
  • id: 19765212
    {'hecke_orbit_code': 4503599795142981, 'n': 25, 'trace_an': 0}
  • id: 19765213
    {'hecke_orbit_code': 4503599795142981, 'n': 26, 'trace_an': 428415}
  • id: 19765214
    {'hecke_orbit_code': 4503599795142981, 'n': 27, 'trace_an': -6847883}
  • id: 19765215
    {'hecke_orbit_code': 4503599795142981, 'n': 28, 'trace_an': -2587955}
  • id: 19765216
    {'hecke_orbit_code': 4503599795142981, 'n': 29, 'trace_an': 10678182}
  • id: 19765217
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