Embedded newform data - 441.6.a.be.1.3

Formats: - HTML - YAML - JSON - 2024-04-25T11:40:47.612337

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 15876, 'analytic_conductor': 70.72926453752446, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [7, 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': [441, 1, [344, 199], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 8, 'field_disc': 1024665967033716736, 'field_disc_factorization': [[2, 12], [41, 4], [97, 4]], 'field_poly': [3844, 0, -40868, 0, 5453, 0, -146, 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': 1, 'hecke_cutters': [[2, [196, 0, -69, 0, 1]], [5, [1623076, 0, -5652, 0, 1]], [13, [966836836, 0, -65076, 0, 1]]], 'hecke_orbit': 31, 'hecke_orbit_code': 135107988921778617, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 76832, 'hecke_ring_index_factorization': [[2, 5], [7, 4]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 21, 3, 1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '441.6.a.be', 'level': 441, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'minimal_twist': '441.6.a.be', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{4}q^{2}+(3-\\beta _{2})q^{4}+\\beta _{1}q^{5}+(-\\beta _{4}+\\cdots)q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '441.6.a', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1813158258039843533, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.217', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '538.432', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '54288.038', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.764', 'prec': 17}, 'traces': [8, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -828, 0, 0, 0, 0, 0, -2384, 0, 0, -2392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -19136, 0, 0, 0, 0, 0, -41184, 0, 0, -13152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88872, 0, 0, 0, 0, 0, -210812, 0, 0, -42336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -251072, 0, 0, 0, 0, 0, -567664, 0, 0, -88752, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -642300, 0, 0, 0, 0, 0, -1173584, 0, 0, -344640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1087064, 0, 0, 0, 0, 0, -1881280, 0, 0, -192568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1471296, 0, 0, 0, 0, 0, -2147696, 0, 0, -924864, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1754592, 0, 0, 0, 0, 0, -2710040, 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

  
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[0.0, 0.0], [0.2192159588734207, 0.0]], 'angles': [-0.274330992328548, None, -0.3634820611470521, None, -0.28866377809563576, -0.2698367439885896, -0.11775133780132681, -0.3082771202394211, -0.3288893571620517, -0.08729726645871286, -0.11159320759092337, -0.19203602003887912, -0.21287709403261823, -0.2874432767817645, -0.22509149554472233, -0.10654556135674621, -0.33969346344749357, -0.3331491101530037, -0.31815640367943027, -0.36691951239981574, -0.267032628251292, -0.42384872949922703, -0.1839130670437439, -0.18465080707448028, -0.1211220926405788, -0.13532346604192247, -0.43839859679297477, -0.31443676312625185, -0.27695710583102257, -0.14188021995264982, -0.4167075608863417, -0.21261716712891487, -0.24784119805300042, -0.2451810137824008, -0.3823953944764014, -0.22382491385793288, -0.10057172640117885, -0.30818438859074354, -0.3800493768002597, -0.23045890107883238, -0.2834180581692206, -0.2090093048456431, -0.07240853826420804, -0.37194323573688615, -0.24164368046365378, 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-0.3218558853792912, -0.32885874903864654, -0.3308069117936365, -0.30974520114165005, -0.14974333007713087, -0.2131708926684962, -0.12094396585456565, -0.3133075618610675, -0.339440026154735, -0.35520879848439424, -0.2901064016728379, -0.09707704840371525, -0.3108593099343732, -0.17976617918658394, -0.05683358792111971, -0.2763432581181176, -0.2638911308072846, -0.22091183213150783, -0.32145270624899097, -0.3850633840084894, -0.12712689975748676, -0.20872201676594385, -0.2703084012752989, -0.2990661731291981, -0.2813164052463001, -0.1642768717820539, -0.2980005374956591, -0.18935219942687165, -0.4069738781603096, -0.27043431629433307, -0.16244786772970324], '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': 6.711777457241381, 'hecke_orbit': 31, 'hecke_orbit_code': 135107988921778617, 'label': '441.6.a.be.1.3', 'level': 441, 'weight': 6}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[3, -1], [7, -1]], 24, 15], [[[3, 1], [7, -1]], 19, 6], [[[3, -1], [7, 1]], 25, 7], [[[3, 1], [7, 1]], 15, 3]], 'ALdims': [15, 19, 25, 24], 'Nk2': 15876, 'analytic_conductor': 70.72926453752446, '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': [441, 1, [344, 199], [1, 1]], 'conrey_index': 1, 'cusp_dim': 264, 'dim': 83, 'eis_dim': 32, 'eis_new_dim': 5, 'hecke_cutter_primes': [2, 5, 13], 'hecke_orbit_code': 100663737, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 6, 6, 6, 6, 8], 'label': '441.6.a', 'level': 441, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'mf_dim': 296, 'mf_new_dim': 88, 'num_forms': 31, 'plus_dim': 39, 'prim_orbit_index': 1, 'relative_dim': 83, 'sturm_bound': 336, 'trace_bound': 13, 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5090256496, -1304161356, 0, 0, -830691808, 0, 565876560, 1325266364, 0, -2510427984, 0, 0, -6082495536, 374098032, 0, 1324227512, -664450560, 0, -3723490416, 4284983980, 0, -661844412, 158389080, 0, 0, -2785004054, 0, 1265143304, -4956841176, 0, 3629932368, 0, 0, -1971645014, 1903469892, 0, -1390641984, 567693864, 0, 827161888, -445146152, 0, -1945569308, 1492836096, 0, 0, -5309931180, 0, -1482474046, -573003972, 0, -835922584, 0, 0, -3833923724, 1508166864, 0, -714013728, 155923590, 0, 2418937080, -2137100004, 0, -2600253656, -496818444, 0, 0, -1165028176, 0, -3541862476, 2894594740, 0, 326198352, 0, 0, -1144216592, 2266218624, 0, 1115297232, -1667396928, 0, -38326236, 4124994072, 0, 1257941056, -1602755520, 0, 0, -16266184, 0, -1407176970, -2283409788, 0, 1493868500, 0, 0, 62429016, 978299460, 0, 180761536, 94362930, 0, -1567630032, 1031777460, 0, -4087706648, 2374559952, 0, 0, 943662938, 0, 1111445088, 2225307680, 0, -3280049616, 0, 0, -709935212, 1009810098, 0, 694940576, 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2619009272, 7374154140, 0, -6096979680, 0, 0, 4005119180, -312952800, 0, -610303660, 1249313472, 0, 551072584, 6514238696, 0, 6495880460, -329315904, 0, 0, 3871973772, 0, 976943852, -1553653154, 0, -1751602584, 0, 0, -3987818076, -289745664, 0, -2014556344, -1237864938, 0, 2833171944, 1332069040, 0, -353984684, -2584728480, 0, 0, 7063787800, 0, 2587998936, 2541116952, 0, 4822820936, 0, 0, -1293897600, -768642600, 0, -945155712, -1639321968, 0, -1177420620, -8072476308, 0, -1135992864, 1174034112, 0, 0, 5529427288, 0, -1643925270, -4624694628, 0, -2092550020, 0, 0, 8527826832, -1118621412, 0, -944020104, 727777608, 0, 2270306720, 4340776504, 0, 2380615788, -1262352318, 0, 0, 2262852254, 0, -2524186144, 4207242368, 0, 2487160896, 0, 0, -4479161276, 63672378, 0, 4364617992, 904335168, 0, -5124501176, 9752301936, 0, 3852700672, 2345537184, 0, 0, -1990203768, 0, 2138610216, -1208399436, 0, 4153504392, 0, 0, 3572626240, -1124289264, 0], 'weight': 6, '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: 48748404
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 135107988921778617, 'source_is_minimal': True, 'source_label': '441.6.a.be.1.3', 'source_level': 441, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 135107988921778617, 'target_is_minimal': True, 'target_label': '441.6.a.be.1.3', 'target_level': 441, 'twist_class_label': '441.6.a.be.1.3', 'twist_class_level': 441, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 48748405
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 135107988921778617, 'source_is_minimal': True, 'source_label': '441.6.a.be.1.3', 'source_level': 441, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 135107988921778617, 'target_is_minimal': True, 'target_label': '441.6.a.be.1.6', 'target_level': 441, 'twist_class_label': '441.6.a.be.1.3', 'twist_class_level': 441, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 48748406
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 135107988921778617, 'source_is_minimal': True, 'source_label': '441.6.a.be.1.3', 'source_level': 441, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 135107988921778617, 'target_is_minimal': True, 'target_label': '441.6.a.be.1.4', 'target_level': 441, 'twist_class_label': '441.6.a.be.1.3', 'twist_class_level': 441, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 6}
  • id: 48748407
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 135107988921778617, 'source_is_minimal': True, 'source_label': '441.6.a.be.1.3', 'source_level': 441, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 135107988921778617, 'target_is_minimal': True, 'target_label': '441.6.a.be.1.5', 'target_level': 441, 'twist_class_label': '441.6.a.be.1.3', 'twist_class_level': 441, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 895425
    {'charpoly_factorization': [[[196, 0, -69, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 2}
  • id: 895426
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 135107988921778617, 'p': 3}
  • id: 895427
    {'charpoly_factorization': [[[1623076, 0, -5652, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 5}
  • id: 895428
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 135107988921778617, 'p': 7}
  • id: 895429
    {'charpoly_factorization': [[[486820096, 0, -50336, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 11}
  • id: 895430
    {'charpoly_factorization': [[[966836836, 0, -65076, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 13}
  • id: 895431
    {'charpoly_factorization': [[[1776617078404, 0, -3671492, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 17}
  • id: 895432
    {'charpoly_factorization': [[[1304566014976, 0, -2297152, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 19}
  • id: 895433
    {'charpoly_factorization': [[[4889971523584, 0, -6663744, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 23}
  • id: 895434
    {'charpoly_factorization': [[[71690156736016, 0, -60939144, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 29}
  • id: 895435
    {'charpoly_factorization': [[[4532232295284736, 0, -134646912, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 31}
  • id: 895436
    {'charpoly_factorization': [[[-63573584, 4784, 1], 4]], 'hecke_orbit_code': 135107988921778617, 'p': 37}
  • id: 895437
    {'charpoly_factorization': [[[8711880319202116, 0, -376626596, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 41}
  • id: 895438
    {'charpoly_factorization': [[[26247376, 10296, 1], 4]], 'hecke_orbit_code': 135107988921778617, 'p': 43}
  • id: 895439
    {'charpoly_factorization': [[[4349206235014144, 0, -217430848, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 47}
  • id: 895440
    {'charpoly_factorization': [[[883420160831600896, 0, -1887460256, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 53}
  • id: 895441
    {'charpoly_factorization': [[[753088058960183296, 0, -1738892928, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 59}
  • id: 895442
    {'charpoly_factorization': [[[292848892042281316, 0, -1189339316, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 61}
  • id: 895443
    {'charpoly_factorization': [[[-608314736, 10584, 1], 4]], 'hecke_orbit_code': 135107988921778617, 'p': 67}
  • id: 895444
    {'charpoly_factorization': [[[10660943416583520256, 0, -6530375232, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 71}
  • id: 895445
    {'charpoly_factorization': [[[342808093021392964, 0, -3717977508, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 73}
  • id: 895446
    {'charpoly_factorization': [[[-3517390336, 62768, 1], 4]], 'hecke_orbit_code': 135107988921778617, 'p': 79}
  • id: 895447
    {'charpoly_factorization': [[[19247961579756012544, 0, -10070803008, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 83}
  • id: 895448
    {'charpoly_factorization': [[[6562421910834002500, 0, -5402804900, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, 'p': 89}
  • id: 895449
    {'charpoly_factorization': [[[7657638990259796356, 0, -18436450116, 0, 1], 2]], 'hecke_orbit_code': 135107988921778617, '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': 31, 'label': '441.6.a.be', 'level': 441, 'portrait': 'data:image/png;base64,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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 266414000
    {'hecke_orbit_code': 135107988921778617, 'n': 1, 'trace_an': 8}
  • id: 266414001
    {'hecke_orbit_code': 135107988921778617, 'n': 2, 'trace_an': 0}
  • id: 266414002
    {'hecke_orbit_code': 135107988921778617, 'n': 3, 'trace_an': 0}
  • id: 266414003
    {'hecke_orbit_code': 135107988921778617, 'n': 4, 'trace_an': 20}
  • id: 266414004
    {'hecke_orbit_code': 135107988921778617, 'n': 5, 'trace_an': 0}
  • id: 266414005
    {'hecke_orbit_code': 135107988921778617, 'n': 6, 'trace_an': 0}
  • id: 266414006
    {'hecke_orbit_code': 135107988921778617, 'n': 7, 'trace_an': 0}
  • id: 266414007
    {'hecke_orbit_code': 135107988921778617, 'n': 8, 'trace_an': 0}
  • id: 266414008
    {'hecke_orbit_code': 135107988921778617, 'n': 9, 'trace_an': 0}
  • id: 266414009
    {'hecke_orbit_code': 135107988921778617, 'n': 10, 'trace_an': 0}
  • id: 266414010
    {'hecke_orbit_code': 135107988921778617, 'n': 11, 'trace_an': 0}
  • id: 266414011
    {'hecke_orbit_code': 135107988921778617, 'n': 12, 'trace_an': 0}
  • id: 266414012
    {'hecke_orbit_code': 135107988921778617, 'n': 13, 'trace_an': 0}
  • id: 266414013
    {'hecke_orbit_code': 135107988921778617, 'n': 14, 'trace_an': 0}
  • id: 266414014
    {'hecke_orbit_code': 135107988921778617, 'n': 15, 'trace_an': 0}
  • id: 266414015
    {'hecke_orbit_code': 135107988921778617, 'n': 16, 'trace_an': -828}
  • id: 266414016
    {'hecke_orbit_code': 135107988921778617, 'n': 17, 'trace_an': 0}
  • id: 266414017
    {'hecke_orbit_code': 135107988921778617, 'n': 18, 'trace_an': 0}
  • id: 266414018
    {'hecke_orbit_code': 135107988921778617, 'n': 19, 'trace_an': 0}
  • id: 266414019
    {'hecke_orbit_code': 135107988921778617, 'n': 20, 'trace_an': 0}
  • id: 266414020
    {'hecke_orbit_code': 135107988921778617, 'n': 21, 'trace_an': 0}
  • id: 266414021
    {'hecke_orbit_code': 135107988921778617, 'n': 22, 'trace_an': -2384}
  • id: 266414022
    {'hecke_orbit_code': 135107988921778617, 'n': 23, 'trace_an': 0}
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  • id: 266414975
    {'hecke_orbit_code': 135107988921778617, 'n': 976, 'trace_an': 0}
  • id: 266414976
    {'hecke_orbit_code': 135107988921778617, 'n': 977, 'trace_an': 0}
  • id: 266414977
    {'hecke_orbit_code': 135107988921778617, 'n': 978, 'trace_an': 0}
  • id: 266414978
    {'hecke_orbit_code': 135107988921778617, 'n': 979, 'trace_an': 0}
  • id: 266414979
    {'hecke_orbit_code': 135107988921778617, 'n': 980, 'trace_an': 0}
  • id: 266414980
    {'hecke_orbit_code': 135107988921778617, 'n': 981, 'trace_an': 0}
  • id: 266414981
    {'hecke_orbit_code': 135107988921778617, 'n': 982, 'trace_an': -150533648}
  • id: 266414982
    {'hecke_orbit_code': 135107988921778617, 'n': 983, 'trace_an': 0}
  • id: 266414983
    {'hecke_orbit_code': 135107988921778617, 'n': 984, 'trace_an': 0}
  • id: 266414984
    {'hecke_orbit_code': 135107988921778617, 'n': 985, 'trace_an': 0}
  • id: 266414985
    {'hecke_orbit_code': 135107988921778617, 'n': 986, 'trace_an': 0}
  • id: 266414986
    {'hecke_orbit_code': 135107988921778617, 'n': 987, 'trace_an': 0}
  • id: 266414987
    {'hecke_orbit_code': 135107988921778617, 'n': 988, 'trace_an': 8496288}
  • id: 266414988
    {'hecke_orbit_code': 135107988921778617, 'n': 989, 'trace_an': 0}
  • id: 266414989
    {'hecke_orbit_code': 135107988921778617, 'n': 990, 'trace_an': 0}
  • id: 266414990
    {'hecke_orbit_code': 135107988921778617, 'n': 991, 'trace_an': -95701120}
  • id: 266414991
    {'hecke_orbit_code': 135107988921778617, 'n': 992, 'trace_an': 0}
  • id: 266414992
    {'hecke_orbit_code': 135107988921778617, 'n': 993, 'trace_an': 0}
  • id: 266414993
    {'hecke_orbit_code': 135107988921778617, 'n': 994, 'trace_an': 0}
  • id: 266414994
    {'hecke_orbit_code': 135107988921778617, 'n': 995, 'trace_an': 0}
  • id: 266414995
    {'hecke_orbit_code': 135107988921778617, 'n': 996, 'trace_an': 0}
  • id: 266414996
    {'hecke_orbit_code': 135107988921778617, 'n': 997, 'trace_an': 0}
  • id: 266414997
    {'hecke_orbit_code': 135107988921778617, 'n': 998, 'trace_an': 0}
  • id: 266414998
    {'hecke_orbit_code': 135107988921778617, 'n': 999, 'trace_an': 0}
  • id: 266414999
    {'hecke_orbit_code': 135107988921778617, 'n': 1000, 'trace_an': 0}