Newform data - 10.22.a.d

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• 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': 4840, 'analytic_conductor': 27.94773442870621, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, 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': [10, 1, [7], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 1179649, 'field_disc_factorization': [[1179649, 1]], 'field_poly': [-294912, -1, 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': [[3, [-16747129404, -30972, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510799251210250, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 240, 'hecke_ring_index_factorization': [[2, 4], [3, 1], [5, 1]], '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': '10.22.a.d', 'level': 10, '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], 'level_radical': 10, 'minimal_twist': '10.22.a.d', 'nf_label': '2.2.1179649.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2^{10}q^{2}+(15486-\\beta )q^{3}+2^{20}q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '21.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '10.22.a', 'trace_display': [2048, 30972, -19531250, -439959356], 'trace_hash': 280991840837278217, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.862', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.182', 'prec': 17}, {'__RealLiteral__': 0, 'data': '8.558', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.813', 'prec': 17}, {'__RealLiteral__': 0, 'data': '55.971', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, 2048, 30972, 2097152, -19531250, 31715328, -439959356, 2147483648, 13532817186, -20000000000, 105191777184, 32476495872, 308456648932, -450518380544, -302460937500, 2199023255552, 18393996100404, 13857604798464, 23821216715800, -20480000000000, -10991999204616, 107716379836416, -82586042978868, 33255931772928, 190734863281250, 315859608506368, 937830505785480, -461330821677056, -167038888446420, -309720000000000, 5373084998145784, 2251799813685248, 26811195444517824, 18835452006813696, 4296478085937500, 14190187313627136, 83725084127912164, 24392925916979200, 92132195361143352, -20971520000000000, -63222375005514036, -11255807185526784, -113835841911164948, 110301572952489984, -132156417832031250, -84568108010360832, 13253549001226164, 34054074135478272, -1019795619700635846, 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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, 0], [1024, 0], [15486, -1], [1048576, 0], [-9765625, 0], [15857664, -1024], [-219979678, 123], [1073741824, 0], [6766408593, -30972], [-10000000000, 0], [52595888592, -741222], [16238247936, -1048576], [154228324466, -2571252], [-225259190272, 125952], [-151230468750, 9765625], [1099511627776, 0], [9196998050202, 28650372], [6928802399232, -31715328], [11910608357900, 177355728], [-10240000000000, 0], [-5495999602308, 221884456], [53858189918208, -759011328], [-41293021489434, -454003431], [16627965886464, -1073741824], [95367431640625, 0], [157929804253184, -2632962048], [468915252892740, 3214312218], [-230665410838528, 128974848], [-83519444223210, 21005116056], [-154860000000000, 10000000000], [2686542499072892, -11980172694], [1125899906842624, 0], [13405597722258912, -64074452484], [9417726003406848, 29337980928], [2148239042968750, -1201171875], [7095093656813568, -32476495872], [41862542063956082, -119562962808], [12196462958489600, 181612265472], [46066097680571676, -194046732938], [-10485760000000000, 0], [-31611187502757018, 26985675084], [-5627903592763392, 227209682944], [-56917920955582474, 1574613777567], [55150786476244992, -777227599872], [-66078208916015625, 302460937500], [-42284054005180416, -464899513344], [6626774500613082, -780913279437], [17027037067739136, -1099511627776], [-509897809850317923, -54115000788], [97656250000000000, 0], [-344257598778335028, -8753318389410], [161720119555260416, -2696153137152], [-722875511871952374, 13478118580788], [480169218962165760, 3291455711232], [-513631724531250000, 7238496093750], [-236201380698652672, 132070244352], [-2828284422353957400, -9164077554092], [-85523910884567040, 21509238841344], [-408530059465716420, -4778407472988], [-158576640000000000, 10240000000000], [-2290498584912924718, -45523155696288], [2751019519050641408, -12267696838656], [-1553185104036726654, 7645478843955], [1152921504606846976, 0], [-1506135981113281250, 25109882812500], 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[-67664085930000000000, 309720000000000], [-39299456449800819548, 584593270926174], [-43298871301304745984, -476057101664256], [245110338972226251912, -2872067453412176], [6785817088627795968, -799655198143488], [-116314534745117187500, -1731989531250000], [17435685957364875264, -1125899906842624], [-130446760257614954398, 6049970082567180], [-522135357286725553152, -55413760806912], [745856753324436021456, -6644410771592070], [100000000000000000000, 0]], 'ap': [[1024, 0], [15486, -1], [-9765625, 0], [-219979678, 123], [52595888592, -741222], [154228324466, -2571252], [9196998050202, 28650372], [11910608357900, 177355728], [-41293021489434, -454003431], [-83519444223210, 21005116056], [2686542499072892, -11980172694], [41862542063956082, -119562962808], [-31611187502757018, 26985675084], [-56917920955582474, 1574613777567], [6626774500613082, -780913279437], [-722875511871952374, 13478118580788], [-408530059465716420, -4778407472988], [-2290498584912924718, -45523155696288], 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[-1445557648845877873439350985110061460, -14246447148170547000093222328740], [184013609241955809209403254523134186, 13934654120361109753561360148064], [-1197150808496748806682069442672182678, -16097659802303335238536811905032], [-887024716858606535103256380157626834, -4717616247614778595972868824737], [-1406358190333834993606546930508406690, 15794743420719615395771120728404], [-1151739320052840711477726666264421768, -16209791854677804799528582980834], [-760758976741848451961629273576808760, 26915541408623840266182524278344]], 'char_orbit_index': 1, 'field_poly': [-294912, -1, 1], 'hecke_orbit_code': 13510799251210250, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1], 'hecke_ring_inverse_denominators': [1, 240], 'hecke_ring_inverse_numerators': [[1, 0], [120, 1]], 'hecke_ring_numerators': [[1, 0], [-120, 240]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '10.22.a.d', 'level': 10, 'maxp': 2999, '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': [2, 2, 2, 1], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [1, 1, 1, 1], 'ALdims_old': [5, 6, 5, 6], 'Nk2': 4840, 'analytic_conductor': 27.94773442870621, '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': [10, 1, [7], [1]], 'conrey_index': 1, 'cusp_dim': 29, 'dim': 7, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 369098762, 'hecke_orbit_dims': [1, 2, 2, 2], 'label': '10.22.a', 'level': 10, '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], 'level_radical': 10, 'mf_dim': 33, 'mf_new_dim': 7, 'num_forms': 4, 'plus_dim': 3, 'prim_orbit_index': 1, 'relative_dim': 7, 'sturm_bound': 33, 'trace_bound': 3, 'trace_display': [-1024, -17336, -9765625, -126415972], 'traces': [7, -1024, -17336, 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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: 6954
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '10.22.a.d', 'source_level': 10, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '10.22.a.d', 'target_level': 10, 'twist_class_label': '10.22.a.d', 'twist_class_level': 10, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 22}
  • id: 6955
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '10.22.a.d', 'source_level': 10, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '50.22.a.d', 'target_level': 50, 'twist_class_label': '10.22.a.d', 'twist_class_level': 10, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 22}
  • id: 6956
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '10.22.a.d', 'source_level': 10, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '50.22.b.e', 'target_level': 50, 'twist_class_label': '10.22.a.d', 'twist_class_level': 10, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 22}
  • id: 6957
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '10.22.a.d', 'source_level': 10, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '80.22.a.c', 'target_level': 80, 'twist_class_label': '10.22.a.d', 'twist_class_level': 10, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 22}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 30825
    {'charpoly_factorization': [[[-1024, 1], 2]], 'hecke_orbit_code': 13510799251210250, 'p': 2}
  • id: 30826
    {'charpoly_factorization': [[[-16747129404, -30972, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 3}
  • id: 30827
    {'charpoly_factorization': [[[9765625, 1], 2]], 'hecke_orbit_code': 13510799251210250, 'p': 5}
  • id: 30828
    {'charpoly_factorization': [[[48134063233001284, 439959356, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 7}
  • id: 30829
    {'charpoly_factorization': [[[-6566471190446333607936, -105191777184, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 11}
  • id: 30830
    {'charpoly_factorization': [[[-88520043304236169597244, -308456648932, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 13}
  • id: 30831
    {'charpoly_factorization': [[[70641143891375036872330404, -18393996100404, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 17}
  • id: 30832
    {'charpoly_factorization': [[[-392462704009433623812460400, -23821216715800, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 19}
  • id: 30833
    {'charpoly_factorization': [[[-1796220576009709212749561244, 82586042978868, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 23}
  • id: 30834
    {'charpoly_factorization': [[[-7487918015581712038157593897500, 167038888446420, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 29}
  • id: 30835
    {'charpoly_factorization': [[[4779467083823715161335836642064, -5373084998145784, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 31}
  • id: 30836
    {'charpoly_factorization': [[[1509638909365643547413967377392324, -83725084127912164, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 37}
  • id: 30837
    {'charpoly_factorization': [[[986896828681001662618172220098724, 63222375005514036, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 41}
  • id: 30838
    {'charpoly_factorization': [[[-38877928407703379022797842318837724, 113835841911164948, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 43}
  • id: 30839
    {'charpoly_factorization': [[[-10315159303075941329566039722347676, -13253549001226164, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 47}
  • id: 30840
    {'charpoly_factorization': [[[-2563294104325340107312531986272410524, 1445751023743904748, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 53}
  • id: 30841
    {'charpoly_factorization': [[[-220969142698771996344564817411350000, 817060118931432840, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 59}
  • id: 30842
    {'charpoly_factorization': [[[-29956643823417767632257885081338066876, 4580997169825849436, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 61}
  • id: 30843
    {'charpoly_factorization': [[[198070171498303394142114130789661359684, 28808031668773210556, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 67}
  • id: 30844
    {'charpoly_factorization': [[[652499738771457479531783206939205483664, -51140957732016114984, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 71}
  • id: 30845
    {'charpoly_factorization': [[[-2309253320834941647201391015834914259964, -14792322512082321412, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 73}
  • id: 30846
    {'charpoly_factorization': [[[-2961369368898019236265306055119371684800, -25077766877525032720, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 79}
  • id: 30847
    {'charpoly_factorization': [[[-36137548702404129238334901488601363055644, 120090321897786074868, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 83}
  • id: 30848
    {'charpoly_factorization': [[[-206070177092142054638446164065746975959900, -104228468137266844980, 1], 1]], 'hecke_orbit_code': 13510799251210250, 'p': 89}
  • id: 30849
    {'charpoly_factorization': [[[-604742169787270500235607660397139689897596, 260893520515229908796, 1], 1]], 'hecke_orbit_code': 13510799251210250, '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': 4, 'label': '10.22.a.d', 'level': 10, 'portrait': 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', 'weight': 22}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 35672089
    {'hecke_orbit_code': 13510799251210250, 'n': 1, 'trace_an': 2}
  • id: 35672090
    {'hecke_orbit_code': 13510799251210250, 'n': 2, 'trace_an': 2048}
  • id: 35672091
    {'hecke_orbit_code': 13510799251210250, 'n': 3, 'trace_an': 30972}
  • id: 35672092
    {'hecke_orbit_code': 13510799251210250, 'n': 4, 'trace_an': 2097152}
  • id: 35672093
    {'hecke_orbit_code': 13510799251210250, 'n': 5, 'trace_an': -19531250}
  • id: 35672094
    {'hecke_orbit_code': 13510799251210250, 'n': 6, 'trace_an': 31715328}
  • id: 35672095
    {'hecke_orbit_code': 13510799251210250, 'n': 7, 'trace_an': -439959356}
  • id: 35672096
    {'hecke_orbit_code': 13510799251210250, 'n': 8, 'trace_an': 2147483648}
  • id: 35672097
    {'hecke_orbit_code': 13510799251210250, 'n': 9, 'trace_an': 13532817186}
  • id: 35672098
    {'hecke_orbit_code': 13510799251210250, 'n': 10, 'trace_an': -20000000000}
  • id: 35672099
    {'hecke_orbit_code': 13510799251210250, 'n': 11, 'trace_an': 105191777184}
  • id: 35672100
    {'hecke_orbit_code': 13510799251210250, 'n': 12, 'trace_an': 32476495872}
  • id: 35672101
    {'hecke_orbit_code': 13510799251210250, 'n': 13, 'trace_an': 308456648932}
  • id: 35672102
    {'hecke_orbit_code': 13510799251210250, 'n': 14, 'trace_an': -450518380544}
  • id: 35672103
    {'hecke_orbit_code': 13510799251210250, 'n': 15, 'trace_an': -302460937500}
  • id: 35672104
    {'hecke_orbit_code': 13510799251210250, 'n': 16, 'trace_an': 2199023255552}
  • id: 35672105
    {'hecke_orbit_code': 13510799251210250, 'n': 17, 'trace_an': 18393996100404}
  • id: 35672106
    {'hecke_orbit_code': 13510799251210250, 'n': 18, 'trace_an': 13857604798464}
  • id: 35672107
    {'hecke_orbit_code': 13510799251210250, 'n': 19, 'trace_an': 23821216715800}
  • id: 35672108
    {'hecke_orbit_code': 13510799251210250, 'n': 20, 'trace_an': -20480000000000}
  • id: 35672109
    {'hecke_orbit_code': 13510799251210250, 'n': 21, 'trace_an': -10991999204616}
  • id: 35672110
    {'hecke_orbit_code': 13510799251210250, 'n': 22, 'trace_an': 107716379836416}
  • id: 35672111
    {'hecke_orbit_code': 13510799251210250, 'n': 23, 'trace_an': -82586042978868}
  • id: 35672112
    {'hecke_orbit_code': 13510799251210250, 'n': 24, 'trace_an': 33255931772928}
  • id: 35672113
    {'hecke_orbit_code': 13510799251210250, 'n': 25, 'trace_an': 190734863281250}
  • id: 35672114
    {'hecke_orbit_code': 13510799251210250, 'n': 26, 'trace_an': 315859608506368}
  • id: 35672115
    {'hecke_orbit_code': 13510799251210250, 'n': 27, 'trace_an': 937830505785480}
  • id: 35672116
    {'hecke_orbit_code': 13510799251210250, 'n': 28, 'trace_an': -461330821677056}
  • id: 35672117
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