Embedded newform data - 35.10.a.c.1.4

Formats: - HTML - YAML - JSON - 2025-11-13T00:09:08.640389

• 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': 3500, 'analytic_conductor': 18.02625426573556, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[5, 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': [35, 1, [22, 31], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 144762333880, 'field_disc_factorization': [[2, 3], [5, 1], [3619058347, 1]], 'field_poly': [-8308, 6926, -648, -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, [559840, -18088, -1708, 19, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199422513187, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 90, 'hecke_ring_index_factorization': [[2, 1], [3, 2], [5, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '35.10.a.c', 'level': 35, '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': [5, 7], 'level_radical': 35, 'minimal_twist': '35.10.a.c', 'prim_orbit_index': 1, 'qexp_display': 'q+(-5-\\beta _{1})q^{2}+(-4+\\beta _{2})q^{3}+(435+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '35.10.a', 'trace_display': [-19, -18, -2500, -9604], 'trace_hash': 1811421527471718969, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.863', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '39.195', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '598.941', 'prec': 24}], 'trace_zratio': 0, 'traces': [4, -19, -18, 1729, -2500, -144, -9604, -30495, 5382, 11875, 82438, 41328, -72962, 45619, 11250, 64257, -357542, -965367, 300732, -1080625, 43218, -5595068, -2340836, -7636320, 1562500, 1305666, -4240350, -4151329, -1372022, 90000, -4590888, -10529439, 2000034, -7199478, 6002500, -9144243, -38868456, -15477280, -46666242, 19059375, 57287084, 345744, -43403452, 87639348, -3363750, 28892416, 91822222, 156168864, 23059204, -7421875, 86342634, 1953386, -61086884, 187589520, -51523750, 73218495, -79928892, 29615390, 72569680, -25830000, -225681036, 190286472, -12922182, 141443393, 45601250, -119673648, -4429720, 15339698, 348300612, -28511875, -470468984, 298610685, -168326464, 927809502, -7031250, -892265344, -197933638, 281290896, -598805646, 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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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[-0.07281811820185664, 0.0], [1.343015894388704, 0.0], [-0.7990882741120109, 0.0], [-0.17198782225028197, 0.0], [-0.5544853035779839, 0.0], [-0.6869645805906914, 0.0], [-0.3363648053585758, 0.0], [-0.4170806516764314, 0.0], [-0.0855611150050964, 0.0], [-0.015164731913363429, 0.0], [0.4591929500853234, 0.0], [-0.31442875322016045, 0.0], [-0.6289528459067468, 0.0], [0.16226900910259587, 0.0], [0.6485116090491719, 0.0], [-0.45758883116174665, 0.0], [0.8627407714926153, 0.0], [-2.1512272251734963, 0.0], [-0.1360469637574645, 0.0], [-2.1883512639881, 0.0], [0.13451321979463443, 0.0], [-0.8499958973688441, 0.0], [-1.0523094456409576, 0.0], [-0.024857821285836572, 0.0], [0.7092790433819234, 0.0], [-0.875571376119452, 0.0], [-0.24498435066787444, 0.0], [-0.14931578552862715, 0.0], [-0.07611114465439978, 0.0], [2.1754428107120054, 0.0], [-0.17398517333131955, 0.0], [0.8784069088050936, 0.0], [0.4735229860553685, 0.0], [0.4438194491895174, 0.0], [-0.1588658933025519, 0.0], [-1.008142352117776, 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-0.19723112316489885, -0.30210099837270915, -0.34383814209212726, -0.23276506825454113, -0.2996946388531466, -0.13731797616587546, -0.2804694453490115, -0.19167643418160354, -0.4147456385955569, -0.0905112112475287, -0.17906090781426318, -0.26036189323418923, -0.2974852525634395, -0.18282799490595708, -0.2801247489755882, -0.24920021798594783, -0.3806779108342964, -0.36547559558023635, -0.324522315494503, -0.38034613034478193, -0.17935052396505238, -0.2310472530006199, -0.41767205323955553, -0.24550048526674279, -0.40053383298649287, -0.1754484450875411, -0.27847233840372676, -0.37951658552452877, -0.20647472582699208, -0.09603857368573442, -0.24841840243955315, -0.25641695397018127, -0.22835780705521827, -0.21763006215268835, -0.3359434013275434, -0.19198697366954917, -0.234751884596696, -0.12714840257543167, -0.27091010868255583, -0.1085900709934182, -0.2187646184262046, -0.09586297064360383, -0.325298651397999, -0.2713701519657253, -0.44083754008097414, -0.3206059851533641, 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-0.25594576212776543, -0.35214703321860247, -0.19293905311350576, -0.14587975519717386, -0.19364596432714062, -0.1584169475317702, -0.31014883141479993, -0.1955621080865595, -0.3938902585460583, -0.4395057000508213, -0.26468901249846233, -0.2131296785608864, -0.1974430715684246, -0.33818336444520364, -0.21195700129034586, -0.24958280368981078, -0.148573848625351, -0.27600619043384195, -0.19613503192999127, -0.2209652922821013, -0.33031111698696114, -0.36119783333837985, -0.19049707052307202, -0.3154432602448858, -0.3184386512227137], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 0.0, 'embedding_root_real': 16.776903327158642, 'hecke_orbit': 3, 'hecke_orbit_code': 9007199422513187, 'label': '35.10.a.c.1.4', 'level': 35, 'weight': 10}
• 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': [4, 5, 6, 3], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [1, 1, 1, 1], 'ALdims_old': [3, 4, 4, 5], 'Nk2': 3500, 'analytic_conductor': 18.02625426573556, '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': [35, 1, [22, 31], [1, 1]], 'conrey_index': 1, 'cusp_dim': 34, 'dim': 18, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 167772195, 'hecke_orbit_dims': [1, 2, 4, 5, 6], 'label': '35.10.a', 'level': 35, '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': [5, 7], 'level_radical': 35, 'mf_dim': 38, 'mf_new_dim': 18, 'num_forms': 5, 'plus_dim': 7, 'prim_orbit_index': 1, 'relative_dim': 18, 'sturm_bound': 40, 'trace_bound': 1, 'trace_display': [2, -292, 0, -4802], 'traces': [18, 2, -292, 5122, 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

  
  
  • id: 40524770
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007199422513187, 'source_is_minimal': True, 'source_label': '35.10.a.c.1.4', 'source_level': 35, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007199422513187, 'target_is_minimal': True, 'target_label': '35.10.a.c.1.4', 'target_level': 35, 'twist_class_label': '35.10.a.c.1.4', 'twist_class_level': 35, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 40524771
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007199422513187, 'source_is_minimal': True, 'source_label': '35.10.a.c.1.4', 'source_level': 35, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597931995451, 'target_is_minimal': False, 'target_label': '315.10.a.g.1.1', 'target_level': 315, 'twist_class_label': '35.10.a.c.1.4', 'twist_class_level': 35, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 40524772
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007199422513187, 'source_is_minimal': True, 'source_label': '35.10.a.c.1.4', 'source_level': 35, 'target_conrey_index': 99, 'target_dim': 8, 'target_embedding_index': 7, 'target_hecke_orbit_code': 18014467396731055, 'target_is_minimal': False, 'target_label': '175.10.b.e.99.7', 'target_level': 175, 'twist_class_label': '35.10.a.c.1.4', 'twist_class_level': 35, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 40524773
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007199422513187, 'source_is_minimal': True, 'source_label': '35.10.a.c.1.4', 'source_level': 35, 'target_conrey_index': 99, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014467396731055, 'target_is_minimal': False, 'target_label': '175.10.b.e.99.2', 'target_level': 175, 'twist_class_label': '35.10.a.c.1.4', 'twist_class_level': 35, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 40524774
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007199422513187, 'source_is_minimal': True, 'source_label': '35.10.a.c.1.4', 'source_level': 35, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398677254319, 'target_is_minimal': False, 'target_label': '175.10.a.e.1.1', 'target_level': 175, 'twist_class_label': '35.10.a.c.1.4', 'twist_class_level': 35, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 10}
  • id: 40524775
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007199422513187, 'source_is_minimal': True, 'source_label': '35.10.a.c.1.4', 'source_level': 35, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18014398677254389, 'target_is_minimal': False, 'target_label': '245.10.a.e.1.4', 'target_level': 245, 'twist_class_label': '35.10.a.c.1.4', 'twist_class_level': 35, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 126450
    {'charpoly_factorization': [[[559840, -18088, -1708, 19, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 2}
  • id: 126451
    {'charpoly_factorization': [[[264777984, 893592, -41895, 18, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 3}
  • id: 126452
    {'charpoly_factorization': [[[625, 1], 4]], 'hecke_orbit_code': 9007199422513187, 'p': 5}
  • id: 126453
    {'charpoly_factorization': [[[2401, 1], 4]], 'hecke_orbit_code': 9007199422513187, 'p': 7}
  • id: 126454
    {'charpoly_factorization': [[[869579178107158576, 104361245847088, -1165571191, -82438, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 11}
  • id: 126455
    {'charpoly_factorization': [[[43199596141093409380, -355765685982476, -13690919467, 72962, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 13}
  • id: 126456
    {'charpoly_factorization': [[[-203740738318353733004, -8935963081689812, -6059436931, 357542, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 17}
  • id: 126457
    {'charpoly_factorization': [[[103553336990674380236800, 113201433637325760, -669332504380, -300732, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 19}
  • id: 126458
    {'charpoly_factorization': [[[301087578873454808252416, -1208808099062366144, -174024471484, 2340836, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 23}
  • id: 126459
    {'charpoly_factorization': [[[32511402154433388378170500, -7216238975778886900, -11286193764675, 1372022, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 29}
  • id: 126460
    {'charpoly_factorization': [[[-109083970674934005496015872, -155375890378811988480, -49757849699472, 4590888, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 31}
  • id: 126461
    {'charpoly_factorization': [[[3289587032793185394275177424, 2085247866164416936416, 455678090264520, 38868456, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 37}
  • id: 126462
    {'charpoly_factorization': [[[-168357971822210372719388269376, 13049576850017149043936, 569638742332340, -57287084, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 41}
  • id: 126463
    {'charpoly_factorization': [[[-36032235038364954369487664960, -43893068766564854496256, -927290666737612, 43403452, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 43}
  • id: 126464
    {'charpoly_factorization': [[[-2113874112558464541439557355712, 112912218333288363255440, 660581216130273, -91822222, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 47}
  • id: 126465
    {'charpoly_factorization': [[[-366679160166421951497342456512, -81502488027957457311200, -3683685226698748, 61086884, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 53}
  • id: 126466
    {'charpoly_factorization': [[[19060708034389350015210270208000, 1354394665392760943744000, -19145903654311680, -72569680, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 59}
  • id: 126467
    {'charpoly_factorization': [[[-153134007488168228837118794019456, -3458852347401174743273664, -6212344588381980, 225681036, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 61}
  • id: 126468
    {'charpoly_factorization': [[[66046758657494522785641010438912, 1872495702149728855958144, -36333142404545344, 4429720, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 67}
  • id: 126469
    {'charpoly_factorization': [[[-1085932643323347986681530445373440, -15462601561196558774261248, 6776617143458112, 470468984, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 71}
  • id: 126470
    {'charpoly_factorization': [[[27304086771091983311733054447568, -11023023350067663012064960, -71691193765575448, 168326464, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 73}
  • id: 126471
    {'charpoly_factorization': [[[-206381565540216397761263687264000, -59640596573597501012808600, -70238756792927335, 598805646, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 79}
  • id: 126472
    {'charpoly_factorization': [[[-3161658568991508082825823047626752, -77244327366652459232182400, 210812743046689872, 1159074304, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 83}
  • id: 126473
    {'charpoly_factorization': [[[-36832246121709260061126570323374400, -86510494108081518344703840, 419042375515033940, 1380153012, 1], 1]], 'hecke_orbit_code': 9007199422513187, 'p': 89}
  • id: 126474
    {'charpoly_factorization': [[[232166469030619977215016930178557268, 1143145150300574598772580940, -1829731028118628027, -754874082, 1], 1]], 'hecke_orbit_code': 9007199422513187, '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': 3, 'label': '35.10.a.c', 'level': 35, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29184163
    {'hecke_orbit_code': 9007199422513187, 'n': 1, 'trace_an': 4}
  • id: 29184164
    {'hecke_orbit_code': 9007199422513187, 'n': 2, 'trace_an': -19}
  • id: 29184165
    {'hecke_orbit_code': 9007199422513187, 'n': 3, 'trace_an': -18}
  • id: 29184166
    {'hecke_orbit_code': 9007199422513187, 'n': 4, 'trace_an': 1729}
  • id: 29184167
    {'hecke_orbit_code': 9007199422513187, 'n': 5, 'trace_an': -2500}
  • id: 29184168
    {'hecke_orbit_code': 9007199422513187, 'n': 6, 'trace_an': -144}
  • id: 29184169
    {'hecke_orbit_code': 9007199422513187, 'n': 7, 'trace_an': -9604}
  • id: 29184170
    {'hecke_orbit_code': 9007199422513187, 'n': 8, 'trace_an': -30495}
  • id: 29184171
    {'hecke_orbit_code': 9007199422513187, 'n': 9, 'trace_an': 5382}
  • id: 29184172
    {'hecke_orbit_code': 9007199422513187, 'n': 10, 'trace_an': 11875}
  • id: 29184173
    {'hecke_orbit_code': 9007199422513187, 'n': 11, 'trace_an': 82438}
  • id: 29184174
    {'hecke_orbit_code': 9007199422513187, 'n': 12, 'trace_an': 41328}
  • id: 29184175
    {'hecke_orbit_code': 9007199422513187, 'n': 13, 'trace_an': -72962}
  • id: 29184176
    {'hecke_orbit_code': 9007199422513187, 'n': 14, 'trace_an': 45619}
  • id: 29184177
    {'hecke_orbit_code': 9007199422513187, 'n': 15, 'trace_an': 11250}
  • id: 29184178
    {'hecke_orbit_code': 9007199422513187, 'n': 16, 'trace_an': 64257}
  • id: 29184179
    {'hecke_orbit_code': 9007199422513187, 'n': 17, 'trace_an': -357542}
  • id: 29184180
    {'hecke_orbit_code': 9007199422513187, 'n': 18, 'trace_an': -965367}
  • id: 29184181
    {'hecke_orbit_code': 9007199422513187, 'n': 19, 'trace_an': 300732}
  • id: 29184182
    {'hecke_orbit_code': 9007199422513187, 'n': 20, 'trace_an': -1080625}
  • id: 29184183
    {'hecke_orbit_code': 9007199422513187, 'n': 21, 'trace_an': 43218}
  • id: 29184184
    {'hecke_orbit_code': 9007199422513187, 'n': 22, 'trace_an': -5595068}
  • id: 29184185
    {'hecke_orbit_code': 9007199422513187, 'n': 23, 'trace_an': -2340836}
  • id: 29184186
    {'hecke_orbit_code': 9007199422513187, 'n': 24, 'trace_an': -7636320}
  • id: 29184187
    {'hecke_orbit_code': 9007199422513187, 'n': 25, 'trace_an': 1562500}
  • id: 29184188
    {'hecke_orbit_code': 9007199422513187, 'n': 26, 'trace_an': 1305666}
  • id: 29184189
    {'hecke_orbit_code': 9007199422513187, 'n': 27, 'trace_an': -4240350}
  • id: 29184190
    {'hecke_orbit_code': 9007199422513187, 'n': 28, 'trace_an': -4151329}
  • id: 29184191
    {'hecke_orbit_code': 9007199422513187, 'n': 29, 'trace_an': -1372022}
  • id: 29184192
    {'hecke_orbit_code': 9007199422513187, 'n': 30, 'trace_an': 90000}
  • id: 29184193
    {'hecke_orbit_code': 9007199422513187, 'n': 31, 'trace_an': -4590888}
  • id: 29184194
    {'hecke_orbit_code': 9007199422513187, 'n': 32, 'trace_an': -10529439}
  • id: 29184195
    {'hecke_orbit_code': 9007199422513187, 'n': 33, 'trace_an': 2000034}
  • id: 29184196
    {'hecke_orbit_code': 9007199422513187, 'n': 34, 'trace_an': -7199478}
  • id: 29184197
    {'hecke_orbit_code': 9007199422513187, 'n': 35, 'trace_an': 6002500}
  • id: 29184198
    {'hecke_orbit_code': 9007199422513187, 'n': 36, 'trace_an': -9144243}
  • id: 29184199
    {'hecke_orbit_code': 9007199422513187, 'n': 37, 'trace_an': -38868456}
  • id: 29184200
    {'hecke_orbit_code': 9007199422513187, 'n': 38, 'trace_an': -15477280}
  • id: 29184201
    {'hecke_orbit_code': 9007199422513187, 'n': 39, 'trace_an': -46666242}
  • id: 29184202
    {'hecke_orbit_code': 9007199422513187, 'n': 40, 'trace_an': 19059375}
  • id: 29184203
    {'hecke_orbit_code': 9007199422513187, 'n': 41, 'trace_an': 57287084}
  • id: 29184204
    {'hecke_orbit_code': 9007199422513187, 'n': 42, 'trace_an': 345744}
  • id: 29184205
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  • id: 29184401
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  • id: 29184410
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  • id: 29184411
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  • id: 29184412
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  • id: 29184413
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  • id: 29184414
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  • id: 29184415
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  • id: 29184416
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  • id: 29184417
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  • id: 29184418
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  • id: 29184419
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  • id: 29184420
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