Embedded newform data - 294.6.a.l.1.1

Formats: - HTML - YAML - JSON - 2024-12-08T07:29:28.589351

• 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': 10584, 'analytic_conductor': 47.1528430250163, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [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': [294, 1, [197, 199], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [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': 0, 'hecke_cutters': [[5, [6, 1]], [11, [666, 1]]], 'hecke_orbit': 12, 'hecke_orbit_code': 49539596001739046, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], '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': '294.6.a.l', 'level': 294, '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': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '42.6.e.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+4q^{2}+9q^{3}+2^{4}q^{4}-6q^{5}+6^{2}q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '294.6.a', 'trace_display': [4, 9, -6, 0], 'trace_hash': 615661377436532585, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.960', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.888', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.705', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 4, 9, 16, -6, 36, 0, 64, 81, -24, -666, 144, -559, 0, -54, 256, -1740, 324, 1157, -96, 0, -2664, -3468, 576, -3089, -2236, 729, 0, 3372, -216, 6293, 1024, -5994, -6960, 0, 1296, 3131, 4628, -5031, -384, -4866, 0, -11407, -10656, -486, -13872, 2310, 2304, 0, -12356, -15660, -8944, -28296, 2916, 3996, 0, 10413, 13488, 20544, -864, -4630, 25172, 0, 4096, 3354, -23976, -18745, -27840, -31212, 0, -38226, 5184, 70589, 12524, -27801, 18512, 0, -20124, -62293, -1536, 6561, -19464, 79818, 0, 10440, -45628, 30348, -42624, -18120, -1944, 0, -55488, 56637, 9240, -6942, 9216, 124754, 0, -53946, -49424, -93390, -62640, -167731, -35776, 0, -113184, 69180, 11664, -219559, 15984, 28179, 0, -39354, 41652, 20808, 53952, -45279, 82176, 0, -3456, 282505, -18520, -43794, 100688, 37284, 0, 317093, 16384, -102663, 13416, -154830, -95904, 0, -74980, -4374, 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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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-0.27580513582926214, -0.20463837088850967, -0.10664215218424934, -0.20361945225312084, -0.35256403443657736, -0.23757351035649443, -0.1650874816220285, -0.13008701293281483, -0.2819669166377604, -0.32583722368492957, -0.16805268620709993, -0.2940015249803802, -0.32769521578125244, -0.2587599469083601, -0.16118680964179838, -0.21630908127537737, -0.3104178431761798, -0.21562757994305978, -0.3794817407524955, -0.42831383801862327, -0.2550049362054924, -0.2804580622902843, -0.2527606193858589, -0.33222414767393726, -0.23883465660387349, -0.343747713759034, -0.39527598385355917, -0.240082703167204, -0.20403518117893793, -0.17447740362867847, -0.0886700587357501, -0.41209614252813975, -0.24995478750667932, -0.29910908526528585, -0.27245440953821376, -0.19533761985928966, -0.3150083310312718, -0.3128881016091697, -0.12365070882159146, -0.1892955435535126, -0.15160803341543744, -0.19500141243933442, -0.20317007949715385, -0.2966839311248775, -0.13935431977907747, -0.16529096222666528, -0.2834014191619501, -0.24847777765959592, -0.33560817024167533, -0.19225781503044467, -0.35044264300385697, -0.26217971856966266, -0.259747423991561, -0.4553677006657865, -0.2714128473132544, -0.3457690025970355, -0.3293963091736361, -0.27757478304698174, -0.2496863459485091, -0.22660974592322525, -0.18563665551017192, -0.3407346131895619, -0.08279285487939379], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 12, 'hecke_orbit_code': 49539596001739046, 'label': '294.6.a.l.1.1', 'level': 294, '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, 5, 4, 4, 4, 4, 3, 6], 'Nk2': 10584, 'analytic_conductor': 47.1528430250163, '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': [294, 1, [197, 199], [1, 1]], 'conrey_index': 1, 'cusp_dim': 264, 'dim': 33, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11], 'hecke_orbit_code': 100663590, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], 'label': '294.6.a', 'level': 294, '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': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 296, 'mf_new_dim': 33, 'num_forms': 23, 'plus_dim': 14, 'prim_orbit_index': 1, 'relative_dim': 33, 'sturm_bound': 336, 'trace_bound': 11, 'trace_display': [4, 9, 22, 0], 'traces': [33, 4, 9, 528, 22, 36, 0, 64, 2673, 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10910016, -3938592, 0, 11032866, -6639360, -44120358, 197640, 9477724, 4097344, 0, -10199136, -47945064, 46080, -17088055, -32620848, -6552900, 0, -45585948, -4333032, 21490776, 8500992, -15195060, 16097976, 0, 256608, 39748798, 2153760, -19327302, 3508224, 4150996, 0, -57283820, 3958688, 7011846, 15225264, 5745848, 4179456, 0, -5196264, 14659812, 8766400, -40633866, 8654688, -50087272, 0, -23855040, 2123240, -11956060, -13075200, -22571892, 1371184, 0, 6326784, -10878366, -3170592, 33752788, -31177344, 4100544, 0, 40370568, 10948608, 6871762, -12333524, -5425902, -1615296, 0, 3899016, 34676156, -4767104, 11866500, 16730328, 19539548, 0, -46998416, 34391744, 27302094, -8104448, 10622946, 2997648, 0, -8841376, 6864480, -1968384, 32009592, 4284864, 28586602, 0, 10040436, 4193088, -41843026, -23772024, -20839640, 561152, 0, 24620080, 12658096, -1365984, 10960910, -46223408, -15519492, 0, 66304786, 26540928, 14137036, 25154816, -7202520, -6785568, 0, -2594304, -76942387, 1028392, 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48186266, 10450944, 0, -16265728, -122520708, -31800072, 12757968, -869760, 127264270, 0, 24530688, -9150464, 76485066, 5137920, 61197532, 10788224, 0, 150090432, -66608640, 746496, 115159380, 8540552, -33830901, 0, 125877320, -20395008, 17306696, -55252608, -13255326, -23250048, 0, -43047072, 39193182, 62669760, -11302146, -17836032, -81506814, 0, 27001500, -33339840, -35523000, 110176, -32057832, 21144960, 0, -24389936, -4277772, -10184576, 94755808, 1801656, -64182744, 0, 172458288, -77167704, -2348304, 31657392, 67486812, 47266272, 0, -27711360, 51388796, 11341440, 39714940, -30177216, -28858842, 0, -12324200, 20505600, -20594928, 1288232, 23292900, 27899104, 0, -5021352, -72612704, 13291520, -149276844, -39495432, 42111504, 0, -252712990, 167899616, 1820880, 624640, 7795506, -9035712, 0, -94933984, -50165928, 35655312, -204123000, -5692032, -108772838, 0, -76792554, -140430080, 41983966, 34483464, -121701360, -20710400, 0, -18458240, 7029164, -20248704, -265205348, 29294704, -39753018, 0, 5281962, -5691384, -181702752, -83623296, -18337896, 35656896, 0, 811008, 69234205, -64978416, -44808876, 23420704, -112119220, 0, -22018204, 29504832, -9679896, 87369056, 735132, 944784, 0, 149152992, -4063986, 22160896, 44947082, -37715472, 153638664, 0, -206226, 36377184, 45759384, 22481280, -19181676, 32128688, 0, -31804544, 88032048, -13029984, -33419940, 27353088, 39342852, 0, -18024496, 20874240, 132149038, 161070256, -9980010, -1968384], '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: 47361286
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739046, 'source_is_minimal': False, 'source_label': '294.6.a.l.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539596001739046, 'target_is_minimal': False, 'target_label': '294.6.a.l.1.1', 'target_level': 294, 'twist_class_label': '42.6.e.a.25.1', 'twist_class_level': 42, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 47361287
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739046, 'source_is_minimal': False, 'source_label': '294.6.a.l.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998237516658, 'target_is_minimal': False, 'target_label': '882.6.a.f.1.1', 'target_level': 882, 'twist_class_label': '42.6.e.a.25.1', 'twist_class_level': 42, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 47361288
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739046, 'source_is_minimal': False, 'source_label': '294.6.a.l.1.1', 'source_level': 294, 'target_conrey_index': 25, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 274978570282, 'target_is_minimal': True, 'target_label': '42.6.e.a.25.1', 'target_level': 42, 'twist_class_label': '42.6.e.a.25.1', 'twist_class_level': 42, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 47361289
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739046, 'source_is_minimal': False, 'source_label': '294.6.a.l.1.1', 'source_level': 294, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014673488052518, 'target_is_minimal': False, 'target_label': '294.6.e.e.79.1', 'target_level': 294, 'twist_class_label': '42.6.e.a.25.1', 'twist_class_level': 42, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 47361290
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739046, 'source_is_minimal': False, 'source_label': '294.6.a.l.1.1', 'source_level': 294, 'target_conrey_index': 37, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 274978570282, 'target_is_minimal': True, 'target_label': '42.6.e.a.37.1', 'target_level': 42, 'twist_class_label': '42.6.e.a.25.1', 'twist_class_level': 42, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 6}
  • id: 47361291
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739046, 'source_is_minimal': False, 'source_label': '294.6.a.l.1.1', 'source_level': 294, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014673488052518, 'target_is_minimal': False, 'target_label': '294.6.e.e.67.1', 'target_level': 294, 'twist_class_label': '42.6.e.a.25.1', 'twist_class_level': 42, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 6}
  • id: 47361292
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739046, 'source_is_minimal': False, 'source_label': '294.6.a.l.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396746998054, 'target_is_minimal': False, 'target_label': '294.6.a.j.1.1', 'target_level': 294, 'twist_class_label': '42.6.e.a.25.1', 'twist_class_level': 42, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 6}
  • id: 47361293
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739046, 'source_is_minimal': False, 'source_label': '294.6.a.l.1.1', 'source_level': 294, 'target_conrey_index': 109, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007611672264830, 'target_is_minimal': False, 'target_label': '126.6.g.c.109.1', 'target_level': 126, 'twist_class_label': '42.6.e.a.25.1', 'twist_class_level': 42, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 47361294
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739046, 'source_is_minimal': False, 'source_label': '294.6.a.l.1.1', 'source_level': 294, 'target_conrey_index': 37, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007611672264830, 'target_is_minimal': False, 'target_label': '126.6.g.c.37.1', 'target_level': 126, 'twist_class_label': '42.6.e.a.25.1', 'twist_class_level': 42, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 6}
  • id: 47361295
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739046, 'source_is_minimal': False, 'source_label': '294.6.a.l.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398610146162, 'target_is_minimal': False, 'target_label': '882.6.a.e.1.1', 'target_level': 882, 'twist_class_label': '42.6.e.a.25.1', 'twist_class_level': 42, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 6}
  • id: 47361296
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739046, 'source_is_minimal': False, 'source_label': '294.6.a.l.1.1', 'source_level': 294, 'target_conrey_index': 289, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008298867032400, 'target_is_minimal': False, 'target_label': '336.6.q.c.289.1', 'target_level': 336, 'twist_class_label': '42.6.e.a.25.1', 'twist_class_level': 42, 'twisting_char_label': '28.11', 'twisting_conrey_index': 11, 'weight': 6}
  • id: 47361297
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739046, 'source_is_minimal': False, 'source_label': '294.6.a.l.1.1', 'source_level': 294, 'target_conrey_index': 193, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008298867032400, 'target_is_minimal': False, 'target_label': '336.6.q.c.193.1', 'target_level': 336, 'twist_class_label': '42.6.e.a.25.1', 'twist_class_level': 42, 'twisting_char_label': '28.23', 'twisting_conrey_index': 23, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 658475
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 2}
  • id: 658476
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 3}
  • id: 658477
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 5}
  • id: 658478
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 7}
  • id: 658479
    {'charpoly_factorization': [[[666, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 11}
  • id: 658480
    {'charpoly_factorization': [[[559, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 13}
  • id: 658481
    {'charpoly_factorization': [[[1740, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 17}
  • id: 658482
    {'charpoly_factorization': [[[-1157, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 19}
  • id: 658483
    {'charpoly_factorization': [[[3468, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 23}
  • id: 658484
    {'charpoly_factorization': [[[-3372, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 29}
  • id: 658485
    {'charpoly_factorization': [[[-6293, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 31}
  • id: 658486
    {'charpoly_factorization': [[[-3131, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 37}
  • id: 658487
    {'charpoly_factorization': [[[4866, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 41}
  • id: 658488
    {'charpoly_factorization': [[[11407, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 43}
  • id: 658489
    {'charpoly_factorization': [[[-2310, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 47}
  • id: 658490
    {'charpoly_factorization': [[[28296, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 53}
  • id: 658491
    {'charpoly_factorization': [[[-20544, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 59}
  • id: 658492
    {'charpoly_factorization': [[[4630, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 61}
  • id: 658493
    {'charpoly_factorization': [[[18745, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 67}
  • id: 658494
    {'charpoly_factorization': [[[38226, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 71}
  • id: 658495
    {'charpoly_factorization': [[[-70589, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 73}
  • id: 658496
    {'charpoly_factorization': [[[62293, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 79}
  • id: 658497
    {'charpoly_factorization': [[[-79818, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 83}
  • id: 658498
    {'charpoly_factorization': [[[18120, 1], 1]], 'hecke_orbit_code': 49539596001739046, 'p': 89}
  • id: 658499
    {'charpoly_factorization': [[[-124754, 1], 1]], 'hecke_orbit_code': 49539596001739046, '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': 12, 'label': '294.6.a.l', 'level': 294, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 56715859
    {'hecke_orbit_code': 49539596001739046, 'n': 1, 'trace_an': 1}
  • id: 56715860
    {'hecke_orbit_code': 49539596001739046, 'n': 2, 'trace_an': 4}
  • id: 56715861
    {'hecke_orbit_code': 49539596001739046, 'n': 3, 'trace_an': 9}
  • id: 56715862
    {'hecke_orbit_code': 49539596001739046, 'n': 4, 'trace_an': 16}
  • id: 56715863
    {'hecke_orbit_code': 49539596001739046, 'n': 5, 'trace_an': -6}
  • id: 56715864
    {'hecke_orbit_code': 49539596001739046, 'n': 6, 'trace_an': 36}
  • id: 56715865
    {'hecke_orbit_code': 49539596001739046, 'n': 7, 'trace_an': 0}
  • id: 56715866
    {'hecke_orbit_code': 49539596001739046, 'n': 8, 'trace_an': 64}
  • id: 56715867
    {'hecke_orbit_code': 49539596001739046, 'n': 9, 'trace_an': 81}
  • id: 56715868
    {'hecke_orbit_code': 49539596001739046, 'n': 10, 'trace_an': -24}
  • id: 56715869
    {'hecke_orbit_code': 49539596001739046, 'n': 11, 'trace_an': -666}
  • id: 56715870
    {'hecke_orbit_code': 49539596001739046, 'n': 12, 'trace_an': 144}
  • id: 56715871
    {'hecke_orbit_code': 49539596001739046, 'n': 13, 'trace_an': -559}
  • id: 56715872
    {'hecke_orbit_code': 49539596001739046, 'n': 14, 'trace_an': 0}
  • id: 56715873
    {'hecke_orbit_code': 49539596001739046, 'n': 15, 'trace_an': -54}
  • id: 56715874
    {'hecke_orbit_code': 49539596001739046, 'n': 16, 'trace_an': 256}
  • id: 56715875
    {'hecke_orbit_code': 49539596001739046, 'n': 17, 'trace_an': -1740}
  • id: 56715876
    {'hecke_orbit_code': 49539596001739046, 'n': 18, 'trace_an': 324}
  • id: 56715877
    {'hecke_orbit_code': 49539596001739046, 'n': 19, 'trace_an': 1157}
  • id: 56715878
    {'hecke_orbit_code': 49539596001739046, 'n': 20, 'trace_an': -96}
  • id: 56715879
    {'hecke_orbit_code': 49539596001739046, 'n': 21, 'trace_an': 0}
  • id: 56715880
    {'hecke_orbit_code': 49539596001739046, 'n': 22, 'trace_an': -2664}
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  • id: 56715905
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  • id: 56715912
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  • id: 56715913
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  • id: 56715915
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  • id: 56715916
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  • id: 56715917
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  • id: 56715918
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  • id: 56715922
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  • id: 56715923
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  • id: 56715924
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  • id: 56715925
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  • id: 56715926
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  • id: 56715927
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  • id: 56715928
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  • id: 56715932
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  • id: 56715933
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  • id: 56715934
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  • id: 56715936
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  • id: 56715939
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  • id: 56715940
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  • id: 56715941
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  • id: 56715942
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  • id: 56715943
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  • id: 56715944
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  • id: 56715945
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  • id: 56715946
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  • id: 56715947
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  • id: 56715948
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  • id: 56715949
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  • id: 56715950
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  • id: 56715951
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  • id: 56715952
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  • id: 56715953
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  • id: 56715954
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  • id: 56715955
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  • id: 56715956
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  • id: 56715957
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  • id: 56715958
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  • id: 56715959
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  • id: 56715960
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  • id: 56715961
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  • id: 56715962
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  • id: 56715963
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  • id: 56715964
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  • id: 56715965
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  • id: 56715966
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  • id: 56715967
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  • id: 56715968
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  • id: 56715969
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  • id: 56715970
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  • id: 56715971
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  • id: 56715972
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  • id: 56715973
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  • id: 56715974
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  • id: 56715975
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  • id: 56715976
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  • id: 56715977
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  • id: 56715978
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  • id: 56715979
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  • id: 56715980
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  • id: 56715981
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  • id: 56715982
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  • id: 56715983
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  • id: 56715984
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  • id: 56715985
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  • id: 56715986
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  • id: 56715987
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  • id: 56715988
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  • id: 56715989
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  • id: 56715990
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  • id: 56715991
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  • id: 56715992
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  • id: 56715993
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  • id: 56715994
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  • id: 56715995
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  • id: 56715996
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  • id: 56715997
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  • id: 56715998
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  • id: 56716000
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  • id: 56716001
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  • id: 56716002
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  • id: 56716003
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  • id: 56716005
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  • id: 56716006
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  • id: 56716007
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  • id: 56716008
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  • id: 56716010
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  • id: 56716011
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  • id: 56716012
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  • id: 56716015
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  • id: 56716016
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  • id: 56716017
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  • id: 56716018
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  • id: 56716019
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  • id: 56716020
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  • id: 56716021
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  • id: 56716022
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  • id: 56716023
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  • id: 56716024
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  • id: 56716025
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  • id: 56716026
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  • id: 56716027
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  • id: 56716028
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  • id: 56716029
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  • id: 56716030
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  • id: 56716031
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  • id: 56716032
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  • id: 56716033
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  • id: 56716034
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  • id: 56716035
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  • id: 56716039
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  • id: 56716074
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  • id: 56716075
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  • id: 56716076
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  • id: 56716077
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  • id: 56716078
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  • id: 56716079
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  • id: 56716080
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  • id: 56716081
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  • id: 56716082
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  • id: 56716083
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  • id: 56716084
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  • id: 56716085
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  • id: 56716086
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  • id: 56716087
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  • id: 56716088
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  • id: 56716089
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  • id: 56716090
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  • id: 56716091
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  • id: 56716092
    {'hecke_orbit_code': 49539596001739046, 'n': 839, 'trace_an': 23634660}
  • id: 56716093
    {'hecke_orbit_code': 49539596001739046, 'n': 841, 'trace_an': -9140765}
  • id: 56716094
    {'hecke_orbit_code': 49539596001739046, 'n': 853, 'trace_an': 14396459}
  • id: 56716095
    {'hecke_orbit_code': 49539596001739046, 'n': 857, 'trace_an': 12470976}
  • id: 56716096
    {'hecke_orbit_code': 49539596001739046, 'n': 859, 'trace_an': -12505888}
  • id: 56716097
    {'hecke_orbit_code': 49539596001739046, 'n': 863, 'trace_an': 28028922}
  • id: 56716098
    {'hecke_orbit_code': 49539596001739046, 'n': 877, 'trace_an': 23117282}
  • id: 56716099
    {'hecke_orbit_code': 49539596001739046, 'n': 881, 'trace_an': -9598908}
  • id: 56716100
    {'hecke_orbit_code': 49539596001739046, 'n': 883, 'trace_an': 443183}
  • id: 56716101
    {'hecke_orbit_code': 49539596001739046, 'n': 887, 'trace_an': -24009666}
  • id: 56716102
    {'hecke_orbit_code': 49539596001739046, 'n': 907, 'trace_an': 17585375}
  • id: 56716103
    {'hecke_orbit_code': 49539596001739046, 'n': 911, 'trace_an': -29559852}
  • id: 56716104
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  • id: 56716105
    {'hecke_orbit_code': 49539596001739046, 'n': 929, 'trace_an': -3220086}
  • id: 56716106
    {'hecke_orbit_code': 49539596001739046, 'n': 937, 'trace_an': -51650353}
  • id: 56716107
    {'hecke_orbit_code': 49539596001739046, 'n': 941, 'trace_an': -7286976}
  • id: 56716108
    {'hecke_orbit_code': 49539596001739046, 'n': 947, 'trace_an': -31244778}
  • id: 56716109
    {'hecke_orbit_code': 49539596001739046, 'n': 953, 'trace_an': -26827320}
  • id: 56716110
    {'hecke_orbit_code': 49539596001739046, 'n': 961, 'trace_an': 10972698}
  • id: 56716111
    {'hecke_orbit_code': 49539596001739046, 'n': 967, 'trace_an': -10025665}
  • id: 56716112
    {'hecke_orbit_code': 49539596001739046, 'n': 971, 'trace_an': 115800}
  • id: 56716113
    {'hecke_orbit_code': 49539596001739046, 'n': 977, 'trace_an': 8738094}
  • id: 56716114
    {'hecke_orbit_code': 49539596001739046, 'n': 983, 'trace_an': 23841264}
  • id: 56716115
    {'hecke_orbit_code': 49539596001739046, 'n': 991, 'trace_an': -33371923}
  • id: 56716116
    {'hecke_orbit_code': 49539596001739046, 'n': 997, 'trace_an': 54468659}