Embedded newform data - 169.10.a.a.1.2

Formats: - HTML - YAML - JSON - 2024-10-11T16:57:54.488755

• 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': 16900, 'analytic_conductor': 87.04105631169456, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[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': [169, 1, [2], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 4436127580993, 'field_disc_factorization': [[659, 1], [6731604827, 1]], 'field_poly': [342272, 1544, -1602, -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': [[2, [232000, 24936, -1194, -33, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 167772329, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 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': '169.10.a.a', 'level': 169, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [13], 'level_radical': 13, 'minimal_twist': '13.10.a.a', 'prim_orbit_index': 1, 'qexp_display': 'q+(8+\\beta _{1})q^{2}+(-41+2\\beta _{1}-\\beta _{3})q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '169.10.a', 'trace_display': [33, -163, -471, 11241], 'trace_hash': 2032082104436127360, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.817', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.365', 'prec': 17}, {'__RealLiteral__': 0, 'data': '41.329', 'prec': 20}, {'__RealLiteral__': 0, 'data': '14.460', 'prec': 20}, {'__RealLiteral__': 0, 'data': '689.267', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [4, 33, -163, 1429, -471, 4529, 11241, 45543, -29953, -67831, 40140, -155479, 0, -277653, -83307, 726609, 78717, -1691026, -209664, -870843, -1138431, 1364090, -4257444, -3561573, -2900157, 0, -2077801, -4035181, -1647936, -744143, 11366002, 29458959, 14413222, -26257659, -13789797, -11587714, -4636891, 25172466, 0, 22536791, -13859538, 75564923, -33368081, -66489222, 17423928, -71369332, 3943005, -620787, 23294923, 4217748, -19664471, 0, -171019326, 64946915, -121160538, -281552967, 47829030, -79964734, 63389388, -37708135, 77050190, -95878740, 155695476, 768962465, 0, -42396374, 41174072, -717615423, 546642556, -409056389, -252460989, -562579254, -594415068, -957058539, 533318748, 326897170, 561950454, 0, 115998984, 509107233, 437803700, -875148240, 79577862, 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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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[-0.6632977595159493, 0.0]], 'angles': [-0.2759879100618851, -0.22572906680726645, -0.17708242822561956, -0.26118345466843085, -0.2049062217913586, None, -0.2580089276090569, -0.3116084344206521, -0.1128645909570345, -0.3714205746895549, -0.18373527373481455, -0.19599847927654973, -0.2282704260438554, -0.1873855243076934, -0.17717693322474667, -0.28808897677201206, -0.14553013457446268, -0.2778751764925445, -0.347739664415631, -0.2756476810376825, -0.38376014666604796, -0.28292751830947016, -0.23931257843793277, -0.12059544276424677, -0.4095479032162265, -0.2817972553616271, -0.09814284430093187, -0.29464628296788126, -0.37392901469885875, -0.35366495788051605, -0.4015526967665054, -0.3704548762312352, -0.3275198872155178, -0.4505404608919351, -0.303385078892147, -0.4186002900306631, -0.3306685544236127, -0.24352683094739608, -0.1446936787960794, -0.17060897361553679, -0.2693266008973785, -0.1591135131871113, -0.12213388522621857, -0.23895989917994015, -0.30301068443236856, 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-0.13466621950334456, -0.1080549742656662, -0.20652408006430076, -0.3391030269713635, -0.2761360373430496, -0.27683299770994985, -0.14419024681843995, -0.3649087386883309, -0.26725983815277454, -0.3138154621195874, -0.28203281777216205, -0.1505728326501979, -0.15762367550162054, -0.23288277668083993, -0.1523962297527007, -0.4071550815189963, -0.4307100021847871, -0.16703126063799892, -0.18110792819708188, -0.1858544696722632, -0.26724177302953855, -0.211467496054667, -0.2523923404381477, -0.4021541845769985, -0.10464740091905203, -0.30196335317241524, -0.43583915288227054, -0.34483096471621244, -0.0803907858805743, -0.30077118436667505, -0.12979774673821212], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -15.35672595355632, 'hecke_orbit': 1, 'hecke_orbit_code': 167772329, 'label': '169.10.a.a.1.2', 'level': 169, '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': [54, 57], 'Nk2': 16900, 'analytic_conductor': 87.04105631169456, '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': [169, 1, [2], [1]], 'conrey_index': 1, 'cusp_dim': 129, 'dim': 111, 'eis_dim': 14, 'eis_new_dim': 11, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 167772329, 'hecke_orbit_dims': [4, 5, 9, 9, 10, 20, 27, 27], 'label': '169.10.a', 'level': 169, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [13], 'level_radical': 13, 'mf_dim': 143, 'mf_new_dim': 122, 'num_forms': 8, 'plus_dim': 54, 'prim_orbit_index': 1, 'relative_dim': 111, 'sturm_bound': 151, 'trace_bound': 2, 'trace_display': [18, 2, -2274, 1142], 'traces': [111, 18, 2, 27394, -2274, -1164, 1142, 22392, 677481, -10950, -81606, -15906, 0, 208526, -189280, 6609170, 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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: 442254
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 167772329, 'source_is_minimal': False, 'source_label': '169.10.a.a.1.2', 'source_level': 169, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 167772329, 'target_is_minimal': False, 'target_label': '169.10.a.a.1.2', 'target_level': 169, 'twist_class_label': '13.10.a.a.1.3', 'twist_class_level': 13, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 442255
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 167772329, 'source_is_minimal': False, 'source_label': '169.10.a.a.1.2', 'source_level': 169, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 167772173, 'target_is_minimal': True, 'target_label': '13.10.a.a.1.3', 'target_level': 13, 'twist_class_label': '13.10.a.a.1.3', 'twist_class_level': 13, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 10}
  • id: 442256
    {'conductor': 39, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 167772329, 'source_is_minimal': False, 'source_label': '169.10.a.a.1.2', 'source_level': 169, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007199422513269, 'target_is_minimal': False, 'target_label': '117.10.a.c.1.2', 'target_level': 117, 'twist_class_label': '13.10.a.a.1.3', 'twist_class_level': 13, 'twisting_char_label': '39.38', 'twisting_conrey_index': 38, 'weight': 10}
  • id: 442257
    {'conductor': 52, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 167772329, 'source_is_minimal': False, 'source_label': '169.10.a.a.1.2', 'source_level': 169, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021597931995344, 'target_is_minimal': False, 'target_label': '208.10.a.g.1.2', 'target_level': 208, 'twist_class_label': '13.10.a.a.1.3', 'twist_class_level': 13, 'twisting_char_label': '52.51', 'twisting_conrey_index': 51, 'weight': 10}
  • id: 442258
    {'conductor': 65, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 167772329, 'source_is_minimal': False, 'source_label': '169.10.a.a.1.2', 'source_level': 169, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 167772485, 'target_is_minimal': False, 'target_label': '325.10.a.a.1.2', 'target_level': 325, 'twist_class_label': '13.10.a.a.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: 437525
    {'charpoly_factorization': [[[232000, 24936, -1194, -33, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 2}
  • id: 437526
    {'charpoly_factorization': [[[22248576, -422211, -11105, 163, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 3}
  • id: 437527
    {'charpoly_factorization': [[[87830562190, 219060669, -2345251, 471, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 5}
  • id: 437528
    {'charpoly_factorization': [[[374218195104754, 403152516081, -29174635, -11241, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 7}
  • id: 437529
    {'charpoly_factorization': [[[2749396984810271536, 23004338430384, -4224578576, -40140, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 11}
  • id: 437530
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 167772329, 'p': 13}
  • id: 437531
    {'charpoly_factorization': [[[2504426796182216860318, 62214393768769401, -294807964635, -78717, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 17}
  • id: 437532
    {'charpoly_factorization': [[[5073678564735258302608, -24264600616548864, -178179435304, 209664, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 19}
  • id: 437533
    {'charpoly_factorization': [[[-17784259512566602681473536, -17717829119888996928, 161598714256, 4257444, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 23}
  • id: 437534
    {'charpoly_factorization': [[[3739481850386914675694032, -8121272877746119872, -20712677162648, 1647936, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 29}
  • id: 437535
    {'charpoly_factorization': [[[-589618052170670963566636160, 212895602023189419808, 12872013899960, -11366002, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 31}
  • id: 437536
    {'charpoly_factorization': [[[6199889947975601494558684462, -316034969567887558927, -158790079378363, 4636891, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 37}
  • id: 437537
    {'charpoly_factorization': [[[155902205778495349633073152, -178917635030929229568, -62623227337488, 13859538, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 41}
  • id: 437538
    {'charpoly_factorization': [[[26969419396454994718583570740, -7473740462562637072337, -525442991584885, 33368081, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 43}
  • id: 437539
    {'charpoly_factorization': [[[1050080959542420794622111907450, 5134039059856780852509, -2132771223484795, -3943005, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 47}
  • id: 437540
    {'charpoly_factorization': [[[-2720444652543428067358390648448, -10468519995181074917088, 7199479656345880, 171019326, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 53}
  • id: 437541
    {'charpoly_factorization': [[[-26145147623162258204550973298768, 1405131574378166235386928, -16047276967049328, -63389388, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 59}
  • id: 437542
    {'charpoly_factorization': [[[6027643178913039104039569334272, 44956512918029433747584, -7375110288253984, -77050190, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 61}
  • id: 437543
    {'charpoly_factorization': [[[192219519421665558045114975699664, 1455782941945705450771424, -41623653127096888, -41174072, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 67}
  • id: 437544
    {'charpoly_factorization': [[[45423640440130712431959947477554, -2885665392060765217839549, -38990637051529715, 252460989, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 71}
  • id: 437545
    {'charpoly_factorization': [[[-470512597239425211233018391187472, -12829435284729004114897776, 52310038600277504, 594415068, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 73}
  • id: 437546
    {'charpoly_factorization': [[[2599687490921045698469912978846464, 8121062078181238589716608, -108141359146702144, -115998984, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 79}
  • id: 437547
    {'charpoly_factorization': [[[-1299618010045374505294260629209088, 35975880198807141194714112, -232755004872216288, -79577862, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 83}
  • id: 437548
    {'charpoly_factorization': [[[-348165158358737880187171327114038800, 1183881845956597549191071952, -654527827686731200, -1152240276, 1], 1]], 'hecke_orbit_code': 167772329, 'p': 89}
  • id: 437549
    {'charpoly_factorization': [[[21998992870778570057771256604870960, -55723796307371289318964624, -666257686044070480, 1049098084, 1], 1]], 'hecke_orbit_code': 167772329, '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': '169.10.a.a', 'level': 169, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 3709008
    {'hecke_orbit_code': 167772329, 'n': 1, 'trace_an': 4}
  • id: 3709009
    {'hecke_orbit_code': 167772329, 'n': 2, 'trace_an': 33}
  • id: 3709010
    {'hecke_orbit_code': 167772329, 'n': 3, 'trace_an': -163}
  • id: 3709011
    {'hecke_orbit_code': 167772329, 'n': 4, 'trace_an': 1429}
  • id: 3709012
    {'hecke_orbit_code': 167772329, 'n': 5, 'trace_an': -471}
  • id: 3709013
    {'hecke_orbit_code': 167772329, 'n': 6, 'trace_an': 4529}
  • id: 3709014
    {'hecke_orbit_code': 167772329, 'n': 7, 'trace_an': 11241}
  • id: 3709015
    {'hecke_orbit_code': 167772329, 'n': 8, 'trace_an': 45543}
  • id: 3709016
    {'hecke_orbit_code': 167772329, 'n': 9, 'trace_an': -29953}
  • id: 3709017
    {'hecke_orbit_code': 167772329, 'n': 10, 'trace_an': -67831}
  • id: 3709018
    {'hecke_orbit_code': 167772329, 'n': 11, 'trace_an': 40140}
  • id: 3709019
    {'hecke_orbit_code': 167772329, 'n': 12, 'trace_an': -155479}
  • id: 3709020
    {'hecke_orbit_code': 167772329, 'n': 13, 'trace_an': 0}
  • id: 3709021
    {'hecke_orbit_code': 167772329, 'n': 14, 'trace_an': -277653}
  • id: 3709022
    {'hecke_orbit_code': 167772329, 'n': 15, 'trace_an': -83307}
  • id: 3709023
    {'hecke_orbit_code': 167772329, 'n': 16, 'trace_an': 726609}
  • id: 3709024
    {'hecke_orbit_code': 167772329, 'n': 17, 'trace_an': 78717}
  • id: 3709025
    {'hecke_orbit_code': 167772329, 'n': 18, 'trace_an': -1691026}
  • id: 3709026
    {'hecke_orbit_code': 167772329, 'n': 19, 'trace_an': -209664}
  • id: 3709027
    {'hecke_orbit_code': 167772329, 'n': 20, 'trace_an': -870843}
  • id: 3709028
    {'hecke_orbit_code': 167772329, 'n': 21, 'trace_an': -1138431}
  • id: 3709029
    {'hecke_orbit_code': 167772329, 'n': 22, 'trace_an': 1364090}
  • id: 3709030
    {'hecke_orbit_code': 167772329, 'n': 23, 'trace_an': -4257444}
  • id: 3709031
    {'hecke_orbit_code': 167772329, 'n': 24, 'trace_an': -3561573}
  • id: 3709032
    {'hecke_orbit_code': 167772329, 'n': 25, 'trace_an': -2900157}
  • id: 3709033
    {'hecke_orbit_code': 167772329, 'n': 26, 'trace_an': 0}
  • id: 3709034
    {'hecke_orbit_code': 167772329, 'n': 27, 'trace_an': -2077801}
  • id: 3709035
    {'hecke_orbit_code': 167772329, 'n': 28, 'trace_an': -4035181}
  • id: 3709036
    {'hecke_orbit_code': 167772329, 'n': 29, 'trace_an': -1647936}
  • id: 3709037
    {'hecke_orbit_code': 167772329, 'n': 30, 'trace_an': -744143}
  • id: 3709038
    {'hecke_orbit_code': 167772329, 'n': 31, 'trace_an': 11366002}
  • id: 3709039
    {'hecke_orbit_code': 167772329, 'n': 32, 'trace_an': 29458959}
  • id: 3709040
    {'hecke_orbit_code': 167772329, 'n': 33, 'trace_an': 14413222}
  • id: 3709041
    {'hecke_orbit_code': 167772329, 'n': 34, 'trace_an': -26257659}
  • id: 3709042
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  • id: 3709043
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  • id: 3709044
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  • id: 3709045
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  • id: 3709046
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  • id: 3709047
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  • id: 3709048
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  • id: 3709049
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  • id: 3709050
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  • id: 3709051
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  • id: 3709052
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  • id: 3709053
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  • id: 3709054
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  • id: 3709055
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  • id: 3709056
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  • id: 3709057
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  • id: 3709058
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  • id: 3709059
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  • id: 3709060
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  • id: 3709061
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  • id: 3709062
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  • id: 3709063
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  • id: 3709064
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  • id: 3709065
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  • id: 3709066
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  • id: 3709067
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  • id: 3709068
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  • id: 3709069
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  • id: 3709070
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  • id: 3709071
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  • id: 3709072
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  • id: 3709073
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  • id: 3709075
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  • id: 3709076
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  • id: 3709078
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  • id: 3709079
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  • id: 3709080
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  • id: 3709081
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  • id: 3709082
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  • id: 3709084
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  • id: 3709086
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  • id: 3709087
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  • id: 3709088
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  • id: 3709089
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  • id: 3709090
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  • id: 3709091
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  • id: 3709092
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  • id: 3709093
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  • id: 3709094
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  • id: 3709095
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  • id: 3709112
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  • id: 3709115
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  • id: 3709116
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  • id: 3709117
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  • id: 3709118
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  • id: 3709126
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  • id: 3709129
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  • id: 3709141
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  • id: 3709143
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  • id: 3709144
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  • id: 3709145
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  • id: 3709146
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  • id: 3709150
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  • id: 3709152
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  • id: 3709154
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  • id: 3709156
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  • id: 3709158
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  • id: 3709239
    {'hecke_orbit_code': 167772329, 'n': 827, 'trace_an': 30923526647772}
  • id: 3709240
    {'hecke_orbit_code': 167772329, 'n': 829, 'trace_an': 23594996737236}
  • id: 3709241
    {'hecke_orbit_code': 167772329, 'n': 839, 'trace_an': 4189994948850}
  • id: 3709242
    {'hecke_orbit_code': 167772329, 'n': 841, 'trace_an': -13887536518084}
  • id: 3709243
    {'hecke_orbit_code': 167772329, 'n': 853, 'trace_an': -7007877241621}
  • id: 3709244
    {'hecke_orbit_code': 167772329, 'n': 857, 'trace_an': -33132640520268}
  • id: 3709245
    {'hecke_orbit_code': 167772329, 'n': 859, 'trace_an': -30388669219956}
  • id: 3709246
    {'hecke_orbit_code': 167772329, 'n': 863, 'trace_an': -15200212841679}
  • id: 3709247
    {'hecke_orbit_code': 167772329, 'n': 877, 'trace_an': 31104412743691}
  • id: 3709248
    {'hecke_orbit_code': 167772329, 'n': 881, 'trace_an': 30259112968353}
  • id: 3709249
    {'hecke_orbit_code': 167772329, 'n': 883, 'trace_an': -41391686444547}
  • id: 3709250
    {'hecke_orbit_code': 167772329, 'n': 887, 'trace_an': -40233496788156}
  • id: 3709251
    {'hecke_orbit_code': 167772329, 'n': 907, 'trace_an': 4935011930491}
  • id: 3709252
    {'hecke_orbit_code': 167772329, 'n': 911, 'trace_an': -14939291854338}
  • id: 3709253
    {'hecke_orbit_code': 167772329, 'n': 919, 'trace_an': 11960433552460}
  • id: 3709254
    {'hecke_orbit_code': 167772329, 'n': 929, 'trace_an': -29572851192414}
  • id: 3709255
    {'hecke_orbit_code': 167772329, 'n': 937, 'trace_an': 60439707037580}
  • id: 3709256
    {'hecke_orbit_code': 167772329, 'n': 941, 'trace_an': -33256945629261}
  • id: 3709257
    {'hecke_orbit_code': 167772329, 'n': 947, 'trace_an': -8810776813788}
  • id: 3709258
    {'hecke_orbit_code': 167772329, 'n': 953, 'trace_an': 15849221375679}
  • id: 3709259
    {'hecke_orbit_code': 167772329, 'n': 961, 'trace_an': -2316514978600}
  • id: 3709260
    {'hecke_orbit_code': 167772329, 'n': 967, 'trace_an': -10298494715041}
  • id: 3709261
    {'hecke_orbit_code': 167772329, 'n': 971, 'trace_an': -98787305993439}
  • id: 3709262
    {'hecke_orbit_code': 167772329, 'n': 977, 'trace_an': 20184280553496}
  • id: 3709263
    {'hecke_orbit_code': 167772329, 'n': 983, 'trace_an': 148287413457273}
  • id: 3709264
    {'hecke_orbit_code': 167772329, 'n': 991, 'trace_an': -30833756463842}
  • id: 3709265
    {'hecke_orbit_code': 167772329, 'n': 997, 'trace_an': -38104841566704}