Embedded newform data - 462.6.a.n.1.2

Formats: - HTML - YAML - JSON - 2024-06-12T22:17:00.860524

• 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': 16632, 'analytic_conductor': 74.09732475359705, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 1], [7, 1], [11, 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': [462, 1, [155, 199, 211], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 65399676, 'field_disc_factorization': [[2, 2], [3, 1], [79, 1], [149, 1], [463, 1]], 'field_poly': [16911, -1511, -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, [-72806, -2851, 56, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58546795256480206, 'hecke_ring_generator_nbound': 17, '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': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '462.6.a.n', 'level': 462, '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, 3, 7, 11], 'level_radical': 462, 'minimal_twist': '462.6.a.n', 'prim_orbit_index': 1, 'qexp_display': 'q+4q^{2}-9q^{3}+2^{4}q^{4}+(-19+\\beta _{2})q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '462.6.a', 'trace_display': [12, -27, -56, -147], 'trace_hash': 1545126875901041512, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.021', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.897', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.212', 'prec': 17}, {'__RealLiteral__': 0, 'data': '22.850', 'prec': 20}, {'__RealLiteral__': 0, 'data': '7.360', 'prec': 17}, {'__RealLiteral__': 0, 'data': '274.137', 'prec': 24}], 'trace_zratio': 0, 'traces': [3, 12, -27, 48, -56, -108, -147, 192, 243, -224, -363, -432, -552, -588, 504, 768, -778, 972, -34, -896, 1323, -1452, 872, -1728, -537, -2208, -2187, -2352, 4752, 2016, 3116, 3072, 3267, -3112, 2744, 3888, 4768, -136, 4968, -3584, -7166, 5292, 10508, -5808, -4536, 3488, 7782, -6912, 7203, -2148, 7002, -8832, 27742, -8748, 6776, -9408, 306, 19008, 3850, 8064, 50106, 12464, -11907, 12288, 54566, 13068, 110686, -12448, -7848, 10976, 105720, 15552, 74544, 19072, 4833, -544, 17787, 19872, 67952, -14336, 19683, -28664, 46216, 21168, 16240, 42032, -42768, -23232, 124750, -18144, 27048, 13952, -28044, 31128, 176906, -27648, -54110, 28812, -29403, -8592, 67026, 28008, -63932, -35328, -24696, 110968, 137894, -34992, 61458, 27104, -42912, -37632, 275214, 1224, 56808, 76032, 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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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[0.6292697919419179, 0.0], [0.17007237152814214, 0.0], [-0.04280225449544372, 0.0], [0.5316708797629951, 0.0], [-1.086342192474384, 0.0], [-0.07399411116804093, 0.0], [0.04845096718119024, 0.0], [-0.2556774879219869, 0.0], [-0.17267274450624137, 0.0], [0.7294114675516876, 0.0], [-0.11521754011956109, 0.0], [-0.034020690871988585, 0.0], [-0.4782284417967828, 0.0], [-0.5676902700339991, 0.0], [-0.016220005749532928, 0.0], [-0.11480242744308128, 0.0], [-0.10798353010123751, 0.0], [0.16733681975871903, 0.0], [-0.9495322177641461, 0.0], [0.6388800318924509, 0.0], [-0.37710009231080494, 0.0], [-0.456719226009092, 0.0], [-0.2570175418567169, 0.0], [-0.13285581384888545, 0.0], [-1.0493514684502219, 0.0], [-1.235928461755017, 0.0], [0.732803881337508, 0.0], [0.0274484951251438, 0.0], [1.271799239951645, 0.0], [0.03367175148507369, 0.0], [0.02096160069308624, 0.0], [-0.3047582811876651, 0.0], [-0.015260646079726783, 0.0], [-0.9511215015538971, 0.0], [-0.13078372309340125, 0.0], [-0.060767356141720144, 0.0], [-0.40215643877641744, 0.0], [-0.488163179780777, 0.0], [-0.033501260508640406, 0.0], [0.23011299414553196, 0.0], [0.44964322057902884, 0.0], [0.2695646914255724, 0.0], [0.44235661092605616, 0.0], [-0.03340765523905305, 0.0], [-0.6357110541694794, 0.0], [-0.6151140612770745, 0.0], [0.6837893776449315, 0.0], [-0.1445663500507054, 0.0], [-0.37294918380219, 0.0], [0.16870272544568823, 0.0], [0.3064347166836634, 0.0], [0.6058872128003676, 0.0], [0.5896360627136581, 0.0], [0.04802956686589208, 0.0], [-0.27775842915894017, 0.0], [-0.26270994986765595, 0.0], [-0.14307769112794994, 0.0], [-0.058503248348644184, 0.0], [1.139879956647555, 0.0], [-0.05089702617267145, 0.0], [0.3701489296757155, 0.0], [-1.0373359240708482, 0.0], [-0.1337864195478103, 0.0], [0.4104076932187996, 0.0], [0.656535376723053, 0.0], [-0.1379810691562601, 0.0], [-0.6126316468102276, 0.0], [0.23582027672098826, 0.0], [-0.2494031599361517, 0.0], [0.7889873442048531, 0.0], [-1.0580216415665893, 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[-0.5131138856719788, 0.0], [0.026279933299930374, 0.0], [-0.6309712742889296, 0.0], [-0.1265406584724184, 0.0], [0.5012641125864419, 0.0], [-0.7597036734255916, 0.0], [0.05280273410454579, 0.0], [-0.28263544151884196, 0.0], [-0.16141991400483557, 0.0], [0.03214121732666125, 0.0], [-0.20642808562014545, 0.0], [0.2912981782355636, 0.0], [-1.7489086505494378, 0.0], [-0.032075014954979206, 0.0], [-0.15373136802206358, 0.0], [0.2868045269450704, 0.0], [-0.30104191279453885, 0.0], [-0.1590881363036088, 0.0], [-0.6179791278829132, 0.0], [-0.1749475970714301, 0.0], [-0.5716218240990274, 0.0], [-0.02601038839714322, 0.0], [0.6023418705544397, 0.0], [0.9229447846389399, 0.0], [1.3552854352963253, 0.0], [0.1615205624940769, 0.0], [0.16792482016345447, 0.0], [0.8070373807116349, 0.0], [0.27825653692051483, 0.0], [-0.10598689189566321, 0.0], [-2.5721653203867754, 0.0], [0.025878689381806767, 0.0], [-0.24600057224611663, 0.0], [0.10738783766549613, 0.0], [0.7414464885176033, 0.0], [-0.4703936038855491, 0.0], [-0.3698956528775963, 0.0], [0.3543906191785245, 0.0], [1.284329152074393, 0.0], [1.2296364565256293, 0.0], [-0.05729201280345108, 0.0], [0.24041789600466634, 0.0]], 'angles': [None, None, -0.2791403142982751, None, None, -0.29858769874067015, -0.16538185192595697, -0.2217915421327567, -0.43423833681262874, -0.15486001915460393, -0.2008825123939738, -0.22622157993075925, -0.3147391109150896, -0.1261162321026939, -0.1399707014149722, -0.2794376074913249, -0.2557775564867777, -0.3015351927199053, -0.10509524114231124, -0.07876254996853375, -0.2130452061767766, -0.22134550148632876, -0.35518448612000175, -0.05158719660031376, -0.3456873618662928, -0.28442508704176833, -0.27018037180179705, -0.11456972798005904, -0.07048966123408337, -0.0862079037196777, -0.16071975807211508, -0.41746247310302736, -0.131253224511342, -0.21740569500607718, -0.303549325314727, -0.2593675325664844, -0.28334382221254756, -0.21563200328730162, -0.1737890651968907, 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-0.1911259333880665, -0.33353755934990686, -0.13674046561731584, -0.321897510556873, -0.391676013759714, -0.4246896230364409, -0.2530987032145331, -0.268300496178646, -0.20460482418921142, -0.232396247332959, -0.19044977492352594, -0.16865850145475653, -0.24438339684725718, -0.2167862943309897, -0.3743997622596738, -0.19905896052681157, -0.34138825317335764, -0.24614401731233182, -0.2591737995891318, -0.33790671224026875, -0.14031461228318895, -0.24833189827696064, -0.260414869511967, -0.27217499006666085, -0.15348322120562716, -0.2995481792094032, -0.31510208629905856, -0.3199757030895597, -0.22931683480227733, -0.2905725178868752, -0.2979507845990446, -0.26285937567170664, -0.41939016902076953, -0.29999540966435645, -0.1315008050536335, -0.2696258040270244, -0.13901828749542414], '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': -43.12757932568958, 'hecke_orbit': 14, 'hecke_orbit_code': 58546795256480206, 'label': '462.6.a.n.1.2', 'level': 462, 'weight': 6}
• 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': [3, 3, 2, 3, 3, 2, 2, 4, 3, 3, 4, 3, 3, 4, 4, 2], 'Nk2': 16632, 'analytic_conductor': 74.09732475359705, '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': [462, 1, [155, 199, 211], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 472, 'dim': 48, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 100663758, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4], 'label': '462.6.a', 'level': 462, '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, 3, 7, 11], 'level_radical': 462, 'mf_dim': 488, 'mf_new_dim': 48, 'num_forms': 20, 'plus_dim': 22, 'prim_orbit_index': 1, 'relative_dim': 48, 'sturm_bound': 576, 'trace_bound': 5, 'trace_display': [16, 0, -88, 0], 'traces': [48, 16, 0, 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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

  
  {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58546795256480206, 'source_is_minimal': True, 'source_label': '462.6.a.n.1.2', 'source_level': 462, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 58546795256480206, 'target_is_minimal': True, 'target_label': '462.6.a.n.1.2', 'target_level': 462, 'twist_class_label': '462.6.a.n.1.2', 'twist_class_level': 462, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 926000
    {'charpoly_factorization': [[[-4, 1], 3]], 'hecke_orbit_code': 58546795256480206, 'p': 2}
  • id: 926001
    {'charpoly_factorization': [[[9, 1], 3]], 'hecke_orbit_code': 58546795256480206, 'p': 3}
  • id: 926002
    {'charpoly_factorization': [[[-72806, -2851, 56, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 5}
  • id: 926003
    {'charpoly_factorization': [[[49, 1], 3]], 'hecke_orbit_code': 58546795256480206, 'p': 7}
  • id: 926004
    {'charpoly_factorization': [[[121, 1], 3]], 'hecke_orbit_code': 58546795256480206, 'p': 11}
  • id: 926005
    {'charpoly_factorization': [[[-41954486, -46515, 552, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 13}
  • id: 926006
    {'charpoly_factorization': [[[-1189290768, -1415376, 778, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 17}
  • id: 926007
    {'charpoly_factorization': [[[1076826276, -2267411, 34, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 19}
  • id: 926008
    {'charpoly_factorization': [[[34291256000, -18267340, -872, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 23}
  • id: 926009
    {'charpoly_factorization': [[[91376488442, -19687611, -4752, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 29}
  • id: 926010
    {'charpoly_factorization': [[[64837779776, -20384536, -3116, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 31}
  • id: 926011
    {'charpoly_factorization': [[[130024130874, -46775355, -4768, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 37}
  • id: 926012
    {'charpoly_factorization': [[[-71994789696, -19960656, 7166, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 41}
  • id: 926013
    {'charpoly_factorization': [[[226075983344, -124259212, -10508, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 43}
  • id: 926014
    {'charpoly_factorization': [[[-593934816200, -191872875, -7782, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 47}
  • id: 926015
    {'charpoly_factorization': [[[2245924957512, 33339844, -27742, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 53}
  • id: 926016
    {'charpoly_factorization': [[[-251464184100, -140803979, -3850, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 59}
  • id: 926017
    {'charpoly_factorization': [[[21398159861960, -111601812, -50106, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 61}
  • id: 926018
    {'charpoly_factorization': [[[52537797876, 3054668509, -110686, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 67}
  • id: 926019
    {'charpoly_factorization': [[[24201305600000, 1990836000, -105720, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 71}
  • id: 926020
    {'charpoly_factorization': [[[-13207717817050, 1753245909, -74544, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 73}
  • id: 926021
    {'charpoly_factorization': [[[9666171542016, 468734800, -67952, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 79}
  • id: 926022
    {'charpoly_factorization': [[[13636328729760, -9320500712, -46216, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 83}
  • id: 926023
    {'charpoly_factorization': [[[292611013505880, -4462603796, -124750, 1], 1]], 'hecke_orbit_code': 58546795256480206, 'p': 89}
  • id: 926024
    {'charpoly_factorization': [[[-1003253480934600, -14887603164, 54110, 1], 1]], 'hecke_orbit_code': 58546795256480206, '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': 14, 'label': '462.6.a.n', 'level': 462, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 59146993
    {'hecke_orbit_code': 58546795256480206, 'n': 1, 'trace_an': 3}
  • id: 59146994
    {'hecke_orbit_code': 58546795256480206, 'n': 2, 'trace_an': 12}
  • id: 59146995
    {'hecke_orbit_code': 58546795256480206, 'n': 3, 'trace_an': -27}
  • id: 59146996
    {'hecke_orbit_code': 58546795256480206, 'n': 4, 'trace_an': 48}
  • id: 59146997
    {'hecke_orbit_code': 58546795256480206, 'n': 5, 'trace_an': -56}
  • id: 59146998
    {'hecke_orbit_code': 58546795256480206, 'n': 6, 'trace_an': -108}
  • id: 59146999
    {'hecke_orbit_code': 58546795256480206, 'n': 7, 'trace_an': -147}
  • id: 59147000
    {'hecke_orbit_code': 58546795256480206, 'n': 8, 'trace_an': 192}
  • id: 59147001
    {'hecke_orbit_code': 58546795256480206, 'n': 9, 'trace_an': 243}
  • id: 59147002
    {'hecke_orbit_code': 58546795256480206, 'n': 10, 'trace_an': -224}
  • id: 59147003
    {'hecke_orbit_code': 58546795256480206, 'n': 11, 'trace_an': -363}
  • id: 59147004
    {'hecke_orbit_code': 58546795256480206, 'n': 12, 'trace_an': -432}
  • id: 59147005
    {'hecke_orbit_code': 58546795256480206, 'n': 13, 'trace_an': -552}
  • id: 59147006
    {'hecke_orbit_code': 58546795256480206, 'n': 14, 'trace_an': -588}
  • id: 59147007
    {'hecke_orbit_code': 58546795256480206, 'n': 15, 'trace_an': 504}
  • id: 59147008
    {'hecke_orbit_code': 58546795256480206, 'n': 16, 'trace_an': 768}
  • id: 59147009
    {'hecke_orbit_code': 58546795256480206, 'n': 17, 'trace_an': -778}
  • id: 59147010
    {'hecke_orbit_code': 58546795256480206, 'n': 18, 'trace_an': 972}
  • id: 59147011
    {'hecke_orbit_code': 58546795256480206, 'n': 19, 'trace_an': -34}
  • id: 59147012
    {'hecke_orbit_code': 58546795256480206, 'n': 20, 'trace_an': -896}
  • id: 59147013
    {'hecke_orbit_code': 58546795256480206, 'n': 21, 'trace_an': 1323}
  • id: 59147014
    {'hecke_orbit_code': 58546795256480206, 'n': 22, 'trace_an': -1452}
  • id: 59147015
    {'hecke_orbit_code': 58546795256480206, 'n': 23, 'trace_an': 872}
  • id: 59147016
    {'hecke_orbit_code': 58546795256480206, 'n': 24, 'trace_an': -1728}
  • id: 59147017
    {'hecke_orbit_code': 58546795256480206, 'n': 25, 'trace_an': -537}
  • id: 59147018
    {'hecke_orbit_code': 58546795256480206, 'n': 26, 'trace_an': -2208}
  • id: 59147019
    {'hecke_orbit_code': 58546795256480206, 'n': 27, 'trace_an': -2187}
  • id: 59147020
    {'hecke_orbit_code': 58546795256480206, 'n': 28, 'trace_an': -2352}
  • id: 59147021
    {'hecke_orbit_code': 58546795256480206, 'n': 29, 'trace_an': 4752}
  • id: 59147022
    {'hecke_orbit_code': 58546795256480206, 'n': 30, 'trace_an': 2016}
  • id: 59147023
    {'hecke_orbit_code': 58546795256480206, 'n': 31, 'trace_an': 3116}
  • id: 59147024
    {'hecke_orbit_code': 58546795256480206, 'n': 32, 'trace_an': 3072}
  • id: 59147025
    {'hecke_orbit_code': 58546795256480206, 'n': 33, 'trace_an': 3267}
  • id: 59147026
    {'hecke_orbit_code': 58546795256480206, 'n': 34, 'trace_an': -3112}
  • id: 59147027
    {'hecke_orbit_code': 58546795256480206, 'n': 35, 'trace_an': 2744}
  • id: 59147028
    {'hecke_orbit_code': 58546795256480206, 'n': 36, 'trace_an': 3888}
  • id: 59147029
    {'hecke_orbit_code': 58546795256480206, 'n': 37, 'trace_an': 4768}
  • id: 59147030
    {'hecke_orbit_code': 58546795256480206, 'n': 38, 'trace_an': -136}
  • id: 59147031
    {'hecke_orbit_code': 58546795256480206, 'n': 39, 'trace_an': 4968}
  • id: 59147032
    {'hecke_orbit_code': 58546795256480206, 'n': 40, 'trace_an': -3584}
  • id: 59147033
    {'hecke_orbit_code': 58546795256480206, 'n': 41, 'trace_an': -7166}
  • id: 59147034
    {'hecke_orbit_code': 58546795256480206, 'n': 42, 'trace_an': 5292}
  • id: 59147035
    {'hecke_orbit_code': 58546795256480206, 'n': 43, 'trace_an': 10508}
  • id: 59147036
    {'hecke_orbit_code': 58546795256480206, 'n': 44, 'trace_an': -5808}
  • id: 59147037
    {'hecke_orbit_code': 58546795256480206, 'n': 45, 'trace_an': -4536}
  • id: 59147038
    {'hecke_orbit_code': 58546795256480206, 'n': 46, 'trace_an': 3488}
  • id: 59147039
    {'hecke_orbit_code': 58546795256480206, 'n': 47, 'trace_an': 7782}
  • id: 59147040
    {'hecke_orbit_code': 58546795256480206, 'n': 48, 'trace_an': -6912}
  • id: 59147041
    {'hecke_orbit_code': 58546795256480206, 'n': 49, 'trace_an': 7203}
  • id: 59147042
    {'hecke_orbit_code': 58546795256480206, 'n': 50, 'trace_an': -2148}
  • id: 59147043
    {'hecke_orbit_code': 58546795256480206, 'n': 51, 'trace_an': 7002}
  • id: 59147044
    {'hecke_orbit_code': 58546795256480206, 'n': 52, 'trace_an': -8832}
  • id: 59147045
    {'hecke_orbit_code': 58546795256480206, 'n': 53, 'trace_an': 27742}
  • id: 59147046
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  • id: 59147232
    {'hecke_orbit_code': 58546795256480206, 'n': 877, 'trace_an': 1143830}
  • id: 59147233
    {'hecke_orbit_code': 58546795256480206, 'n': 881, 'trace_an': -2770236}
  • id: 59147234
    {'hecke_orbit_code': 58546795256480206, 'n': 883, 'trace_an': 16347506}
  • id: 59147235
    {'hecke_orbit_code': 58546795256480206, 'n': 887, 'trace_an': -45523044}
  • id: 59147236
    {'hecke_orbit_code': 58546795256480206, 'n': 907, 'trace_an': -32599204}
  • id: 59147237
    {'hecke_orbit_code': 58546795256480206, 'n': 911, 'trace_an': -24448084}
  • id: 59147238
    {'hecke_orbit_code': 58546795256480206, 'n': 919, 'trace_an': -25204384}
  • id: 59147239
    {'hecke_orbit_code': 58546795256480206, 'n': 929, 'trace_an': -43719424}
  • id: 59147240
    {'hecke_orbit_code': 58546795256480206, 'n': 937, 'trace_an': -41932274}
  • id: 59147241
    {'hecke_orbit_code': 58546795256480206, 'n': 941, 'trace_an': 41758702}
  • id: 59147242
    {'hecke_orbit_code': 58546795256480206, 'n': 947, 'trace_an': -38789632}
  • id: 59147243
    {'hecke_orbit_code': 58546795256480206, 'n': 953, 'trace_an': 29702196}
  • id: 59147244
    {'hecke_orbit_code': 58546795256480206, 'n': 961, 'trace_an': -35408925}
  • id: 59147245
    {'hecke_orbit_code': 58546795256480206, 'n': 967, 'trace_an': 24684308}
  • id: 59147246
    {'hecke_orbit_code': 58546795256480206, 'n': 971, 'trace_an': -104837698}
  • id: 59147247
    {'hecke_orbit_code': 58546795256480206, 'n': 977, 'trace_an': -18612854}
  • id: 59147248
    {'hecke_orbit_code': 58546795256480206, 'n': 983, 'trace_an': 78253280}
  • id: 59147249
    {'hecke_orbit_code': 58546795256480206, 'n': 991, 'trace_an': -47926222}
  • id: 59147250
    {'hecke_orbit_code': 58546795256480206, 'n': 997, 'trace_an': 35039466}