Newform data - 144.16.a.p

Formats: - HTML - YAML - JSON - 2026-10-25T16:39:06.668618

• 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': 36864, 'analytic_conductor': 205.4786473438854, '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': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [144, 1, [127, 37, 65], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 158701, 'field_disc_factorization': [[151, 1], [1051, 1]], 'field_poly': [-39675, -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': [[5, [15378719140, 291404, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994678993040, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 384, 'hecke_ring_index_factorization': [[2, 7], [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': '144.16.a.p', 'level': 144, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '24.16.a.b', 'nf_label': '2.2.158701.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-145702-\\beta )q^{5}+(-580608+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '15.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '144.16.a', 'trace_display': [0, 0, -291404, -1161216], 'trace_hash': 244185332628120930, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.961', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '9.790', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '68.782', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 4}, 'traces': [2, 0, 0, 0, -291404, 0, -1161216, 0, 0, 0, 29802008, 0, -386047636, 0, 0, 0, 2203297340, 0, -2786896936, 0, 0, 0, 44181695888, 0, -6876303314, 0, 0, 0, -132679322364, 0, -59353215472, 0, 0, 0, 742526152704, 0, 664408938396, 0, 0, 0, -214365009876, 0, -3402660367640, 0, 0, 0, 6898255589376, 0, 19272486573970, 0, 0, 0, -4385018130188, 0, 8364755988592, 0, 0, 0, 14002837619864, 0, -32462344447444, 0, 0, 0, 17612177063416, 0, -56246702804392, 0, 0, 0, 70013276735344, 0, -162035381041036, 0, 0, 0, 605338155491328, 0, 14036765116144, 0, 0, 0, -335133794517464, 0, -411986127800552, 0, 0, 0, 213386440764396, 0, -1669008698413056, 0, 0, 0, 786586861090288, 0, -260434884895100, 0, 0, 0, -218403673610796, 0, -3585685642130144, 0, 0, 0, 4309530929778360, 0, 3277439734153964, 0, 0, 0, 2972131336064412, 0, -7453942308344672, 0, 0, 0, -5736355701608448, 0, 5889350921398618, 0, 0, 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

  
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[-42249163476636390922340396, -125339645133692549866], [-46492228148211730023157750, 553776003238221357647], [-7152689140140619963563178, 1264231491103237505660], [27596479369304578907951982, -344944879375523369734], [12452574048635607387574952, -1488562427046859516855], [19737508177705774667353990, -878117046103406590878], [-35728433135295787857535318, 486895037786986592593], [30506396501449854145166912, -814344603322308168149], [119873048966889492654930550, 192035813811948599058], [-41711038680866776691890530, -494618103034544525686], [90999108153786819146614924, 466635581658572492102], [42289829283483690591349380, -535193954895785286766], [12149390467716883368058802, 644561209596271870272], [553899882494128292575562, -204448577069425733213], [-17242939514890471584633124, -608271919841335768614], [-50098172936569390081143748, -480303235113065810998], [26759292217270816624268442, 618913937645582319368], [20689854665769572011779218, 55812208951229511613], [1115691782577638648721408, -538618379038753422376], [-79895585066005758123625184, 382912171121521188387], [47061856110517240493276094, 303582943149668024242], [-24605652222969113867226136, -361115160503827794954], [33497924572099619984760658, 1436366501266700829835], [-98713696219633480205378290, 56667656289886021312], [20912925771096349878760208, 826914199561978089452], [37742322524799440449739612, 1243064057133449885494], [-35851681845775415623827014, 1042250178159083391496], [136389699151703122492093810, 310961574900859285869], [149389011386967551483347828, -21483134244362192714], [-1465647289776310027348362, -344803861369965282100], [-60173930746103778558790044, -677680840279368269626], [-5817253515436285182452120, -94817795183312318142]], 'char_orbit_index': 1, 'field_poly': [-39675, -1, 1], 'hecke_orbit_code': 67553994678993040, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1], 'hecke_ring_inverse_denominators': [1, 384], 'hecke_ring_inverse_numerators': [[1, 0], [192, 1]], 'hecke_ring_numerators': [[1, 0], [-192, 384]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '144.16.a.p', 'level': 144, 'maxp': 2999, 'weight': 16}
• 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': [8, 11, 7, 11], 'ALdims_eis_new': [0, 0, 0, 1], 'ALdims_eis_old': [6, 6, 6, 5], 'ALdims_old': [80, 75, 79, 77], 'Nk2': 36864, 'analytic_conductor': 205.4786473438854, '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': [144, 1, [127, 37, 65], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 348, 'dim': 37, 'eis_dim': 24, 'eis_new_dim': 1, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 268435600, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 4, 4], 'label': '144.16.a', 'level': 144, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 372, 'mf_new_dim': 38, 'num_forms': 24, 'plus_dim': 19, 'prim_orbit_index': 1, 'relative_dim': 37, 'sturm_bound': 384, 'trace_bound': 7, 'trace_display': [0, 0, -68380, -3234660], 'traces': [37, 0, 0, 0, -68380, 0, -3234660, 0, 0, 0, -11568464, 0, 64314922, 0, 0, 0, 761979172, 0, 4597217128, 0, 0, 0, 39929327440, 0, 181456009367, 0, 0, 0, -161806497948, 0, 137383183708, 0, 0, 0, -524802328464, 0, 126972888822, 0, 0, 0, 528864393492, 0, -656301196600, 0, 0, 0, 11450173286832, 0, 24877639930301, 0, 0, 0, 867296410388, 0, -4318927093888, 0, 0, 0, 853241730208, 0, -1660693077602, 0, 0, 0, 39200727103352, 0, -42770128991120, 0, 0, 0, -200285818426864, 0, 83347432823638, 0, 0, 0, 176555781377760, 0, 75388048469756, 0, 0, 0, -207498596339536, 0, 125011818400472, 0, 0, 0, -125015286617724, 0, -988521799844040, 0, 0, 0, 541156699173440, 0, -263368713265570, 0, 0, 0, -708760549433484, 0, -615703926694828, 0, 0, 0, -281010515744832, 0, -576392201119094, 0, 0, 0, -1007549164735212, 0, 1887747833729120, 0, 0, 0, -1017428705320560, 0, 12281965266270737, 0, 0, 0, -3182796453162840, 0, 397629237880436, 0, 0, 0, 7066883171721248, 0, 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0, 0, 0, -2265578003176205376, 0, 3336458348263241088864, 0, 0, 0, 7271633570280637535776, 0, 2463929880773628015898, 0, 0, 0, 1760424625977644634500, 0, -256749918637819649304, 0, 0, 0, -4786542013102017284144, 0, 2082486535221208577208, 0, 0, 0, 933208151143794575000, 0, 5998627205168349574216, 0, 0, 0, 9930746632587228646560, 0, 444918814170105042360, 0, 0, 0, 3805147659757282905348, 0, -4519313629983993198672, 0, 0, 0, -12163874273995304314512, 0, 797347416506586261314, 0, 0, 0, 150543760208711689408, 0, 12739525596169810810496, 0, 0, 0, 10772131883828763984688, 0, 172988718908321394960, 0, 0, 0, -1712157045275751473988, 0, -14398394951495421463764, 0, 0, 0, -18093279281211164322208, 0, -3753988536838502657350, 0, 0, 0, -1800798657662564551520, 0, 1089908001468531405904, 0, 0, 0, 17526831565481160548128, 0, -6277321526771752863688, 0, 0, 0, -8148430970253848275488, 0, -18645198358946345924628, 0, 0, 0, -27042563333412644462608, 0, -2302633100856788261230, 0, 0, 0, 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51963508105986978816268, 0, 0, 0, 31649214950076391626420, 0, 173369090682985318281600, 0, 0, 0, 264129709669329461062608, 0, 35108957991841638958965, 0, 0, 0, 21487734797203138961992, 0, -120925840555654574394476, 0, 0, 0, -262330251225879645997296, 0, 52228740431253870316512, 0, 0, 0, -13528893016030849732668, 0, 153432849959706241383072, 0, 0, 0, 285501694145893431823488, 0, 55485146159226924489816, 0, 0, 0, -57878681413765819046656, 0, -175004247186479760015796, 0, 0, 0, -398455500350220469127600, 0, 78815749443323008468822, 0, 0, 0], 'weight': 16, '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: 123144
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '144.16.a.p', 'source_level': 144, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '24.16.a.b', 'target_level': 24, 'twist_class_label': '24.16.a.b', 'twist_class_level': 24, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 16}
  • id: 123145
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '144.16.a.p', 'source_level': 144, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '48.16.a.k', 'target_level': 48, 'twist_class_label': '24.16.a.b', 'twist_class_level': 24, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 16}
  • id: 123146
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '144.16.a.p', 'source_level': 144, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '72.16.a.d', 'target_level': 72, 'twist_class_label': '24.16.a.b', 'twist_class_level': 24, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 16}
  • id: 123147
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '144.16.a.p', 'source_level': 144, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '144.16.a.p', 'target_level': 144, 'twist_class_label': '24.16.a.b', 'twist_class_level': 24, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 16}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 387600
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994678993040, 'p': 2}
  • id: 387601
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994678993040, 'p': 3}
  • id: 387602
    {'charpoly_factorization': [[[15378719140, 291404, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 5}
  • id: 387603
    {'charpoly_factorization': [[[-13709593497600, 1161216, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 7}
  • id: 387604
    {'charpoly_factorization': [[[-6677843789698928, -29802008, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 11}
  • id: 387605
    {'charpoly_factorization': [[[-26529405155442332, 386047636, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 13}
  • id: 387606
    {'charpoly_factorization': [[[860063223802050436, -2203297340, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 17}
  • id: 387607
    {'charpoly_factorization': [[[-4246106261939146352, 2786896936, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 19}
  • id: 387608
    {'charpoly_factorization': [[[443844274003217857600, -44181695888, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 23}
  • id: 387609
    {'charpoly_factorization': [[[3434106130912761797124, 132679322364, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 29}
  • id: 387610
    {'charpoly_factorization': [[[-58131787437955723321280, 59353215472, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 31}
  • id: 387611
    {'charpoly_factorization': [[[109647655054091818621380, -664408938396, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 37}
  • id: 387612
    {'charpoly_factorization': [[[-2263490712553257143995932, 214365009876, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 41}
  • id: 387613
    {'charpoly_factorization': [[[1683270976530431188311184, 3402660367640, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 43}
  • id: 387614
    {'charpoly_factorization': [[[10152714064662480856596480, -6898255589376, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 47}
  • id: 387615
    {'charpoly_factorization': [[[4113516681877959115999780, 4385018130188, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 53}
  • id: 387616
    {'charpoly_factorization': [[[-74601328895683935457818992, -14002837619864, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 59}
  • id: 387617
    {'charpoly_factorization': [[[32743483172401717989817828, 32462344447444, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 61}
  • id: 387618
    {'charpoly_factorization': [[[581287615130208087296221072, 56246702804392, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 67}
  • id: 387619
    {'charpoly_factorization': [[[-5088691618145989286780169152, -70013276735344, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 71}
  • id: 387620
    {'charpoly_factorization': [[[5302494453372970728594988324, 162035381041036, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 73}
  • id: 387621
    {'charpoly_factorization': [[[-19586436134639137434497402816, -14036765116144, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 79}
  • id: 387622
    {'charpoly_factorization': [[[21806504976927669354628159888, 335133794517464, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 83}
  • id: 387623
    {'charpoly_factorization': [[[-18806902045376083492823971740, -213386440764396, 1], 1]], 'hecke_orbit_code': 67553994678993040, 'p': 89}
  • id: 387624
    {'charpoly_factorization': [[[-320317329760238247400010330876, 260434884895100, 1], 1]], 'hecke_orbit_code': 67553994678993040, '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': 16, 'label': '144.16.a.p', 'level': 144, 'portrait': 'data:image/png;base64,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', 'weight': 16}
• 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: 61172293
    {'hecke_orbit_code': 67553994678993040, 'n': 1, 'trace_an': 2}
  • id: 61172294
    {'hecke_orbit_code': 67553994678993040, 'n': 2, 'trace_an': 0}
  • id: 61172295
    {'hecke_orbit_code': 67553994678993040, 'n': 3, 'trace_an': 0}
  • id: 61172296
    {'hecke_orbit_code': 67553994678993040, 'n': 4, 'trace_an': 0}
  • id: 61172297
    {'hecke_orbit_code': 67553994678993040, 'n': 5, 'trace_an': -291404}
  • id: 61172298
    {'hecke_orbit_code': 67553994678993040, 'n': 6, 'trace_an': 0}
  • id: 61172299
    {'hecke_orbit_code': 67553994678993040, 'n': 7, 'trace_an': -1161216}
  • id: 61172300
    {'hecke_orbit_code': 67553994678993040, 'n': 8, 'trace_an': 0}
  • id: 61172301
    {'hecke_orbit_code': 67553994678993040, 'n': 9, 'trace_an': 0}
  • id: 61172302
    {'hecke_orbit_code': 67553994678993040, 'n': 10, 'trace_an': 0}
  • id: 61172303
    {'hecke_orbit_code': 67553994678993040, 'n': 11, 'trace_an': 29802008}
  • id: 61172304
    {'hecke_orbit_code': 67553994678993040, 'n': 12, 'trace_an': 0}
  • id: 61172305
    {'hecke_orbit_code': 67553994678993040, 'n': 13, 'trace_an': -386047636}
  • id: 61172306
    {'hecke_orbit_code': 67553994678993040, 'n': 14, 'trace_an': 0}
  • id: 61172307
    {'hecke_orbit_code': 67553994678993040, 'n': 15, 'trace_an': 0}
  • id: 61172308
    {'hecke_orbit_code': 67553994678993040, 'n': 16, 'trace_an': 0}
  • id: 61172309
    {'hecke_orbit_code': 67553994678993040, 'n': 17, 'trace_an': 2203297340}
  • id: 61172310
    {'hecke_orbit_code': 67553994678993040, 'n': 18, 'trace_an': 0}
  • id: 61172311
    {'hecke_orbit_code': 67553994678993040, 'n': 19, 'trace_an': -2786896936}
  • id: 61172312
    {'hecke_orbit_code': 67553994678993040, 'n': 20, 'trace_an': 0}
  • id: 61172313
    {'hecke_orbit_code': 67553994678993040, 'n': 21, 'trace_an': 0}
  • id: 61172314
    {'hecke_orbit_code': 67553994678993040, 'n': 22, 'trace_an': 0}
  • id: 61172315
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