Embedded newform data - 315.8.a.b.1.1

Formats: - HTML - YAML - JSON - 2025-04-04T21:33:44.415260

• 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': 20160, 'analytic_conductor': 98.40128302749835, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [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': [315, 1, [281, 127, 136], [1, 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': [[2, [-2, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599761588539, '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': '315.8.a.b', 'level': 315, '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': [3, 5, 7], 'level_radical': 105, 'minimal_twist': '105.8.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2q^{2}-124q^{4}+5^{3}q^{5}+7^{3}q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '315.8.a', 'trace_display': [2, 0, 125, 343], 'trace_hash': 1208903960117537235, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.966', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.908', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.675', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 2, 0, -124, 125, 0, 343, -504, 0, 250, -2724, 0, 2874, 686, 0, 14864, -9278, 0, -4304, -15500, 0, -5448, 41500, 0, 15625, 5748, 0, -42532, 35498, 0, -52940, 94240, 0, -18556, 42875, 0, -84098, -8608, 0, -63000, -180342, 0, -33452, 337776, 0, 83000, 136120, 0, 117649, 31250, 0, -356376, 1270622, 0, -340500, -172872, 0, 70996, 1553252, 0, 213598, -105880, 0, -1714112, 359250, 0, 487228, 1150472, 0, 85750, -1086000, 0, -5921978, -168196, 0, 533696, -934332, 0, -5429824, 1858000, 0, -360684, -6933404, 0, -1159750, -66904, 0, 1372896, -262614, 0, 985782, -5146000, 0, 272240, -538000, 0, -522234, 235298, 0, -1937500, 1639606, 0, -6575056, -1448496, 0, 2541244, -12148008, 0, -9684522, -681000, 0, 5098352, -25029558, 0, 5187500, -4401752, 0, 3106504, -3182354, 0, -12066995, 427196, 0, 6564560, 1953125, 0, 3059600, -15490944, 0, 718500, 3569116, 0, 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'weight_parity': 1}
• 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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-0.2867743139029793, -0.2614656985498104, -0.19213702959964848, -0.2284259411581151, -0.2755075624557341, -0.27178849350952383, -0.2827501106108667, -0.2551067800671136, -0.23475829290135977, -0.15031826352182887, -0.16807813887023643, -0.24040608326922905, -0.23422490774934102, -0.2788131448500663, -0.42494672648445553, -0.3563379848148682, -0.36588922880851665, -0.25314247047778315, -0.25462397320078434, -0.23738580302556694, -0.29790000889528645, -0.3295595932399584, -0.30829484339230173, -0.40188507617049685, -0.2394449530937371, -0.23895285502808855, -0.26280397898253205, -0.24375110066371794, -0.16755084365735, -0.35964889185532883, -0.23415308959613026, -0.37205674494759444, -0.2637485011157252, -0.24339693299567766, -0.13096853328947317, -0.42521819185281, -0.2221304009138398, -0.4129374467380497, -0.30232177521652154, -0.29886062833667104, -0.2801978560165387, -0.3856782991630327, -0.2678247845320144, -0.19368207904075152, -0.18413457742579903, -0.19074013673377765, 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-0.09043266291983981, -0.1660915122436601, -0.220352389095272, -0.20675071991027197, -0.4294441846588562, -0.29262936473304774, -0.2495050643407438, -0.3533415053059105, -0.21328647268192705, -0.11117751147731199, -0.1764638713942511, -0.14388955766041908, -0.37898833857323083, -0.17627302623197483, -0.2913422258007399, -0.19571671465456084, -0.24940618588335028, -0.18960360049180322, -0.11628478863232478, -0.2449009075283858, -0.3721820998200269, -0.2548081960314173, -0.2977041094790306, -0.11119460986496567], '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': 2, 'hecke_orbit_code': 4503599761588539, 'label': '315.8.a.b.1.1', 'level': 315, 'weight': 8}
• 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': [6, 8, 6, 8, 10, 11, 12, 9], 'Nk2': 20160, 'analytic_conductor': 98.40128302749835, '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': [315, 1, [281, 127, 136], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 328, 'dim': 70, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 134218043, 'hecke_orbit_dims': [1, 1, 2, 2, 3, 4, 4, 4, 4, 4, 4, 4, 5, 6, 6, 8, 8], 'label': '315.8.a', 'level': 315, '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': [3, 5, 7], 'level_radical': 105, 'mf_dim': 344, 'mf_new_dim': 70, 'num_forms': 17, 'plus_dim': 37, 'prim_orbit_index': 1, 'relative_dim': 70, 'sturm_bound': 384, 'trace_bound': 2, 'trace_display': [-30, 0, 0, 686], 'traces': [70, -30, 0, 4714, 0, 0, 686, 906, 0, -6500, 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-94563893000, 0, -185289907840, -72489969508, 0, 54554087000, 62792354870, 0, -295842589192, -38128579204, 0, 132856897356, -176573572176, 0, -154637984100, 52106245500, 0, 43867237096, -27292521372, 0, 19764003000, 80628542976, 0, -250451150224, 166223443036, 0, 310735946120, 4516154776, 0, 106328947590, 131969849000, 0, 64668434584, 33199067064, 0, 7738500000, 23058607952, 0, 231691483692, -39325652540, 0, 3967124280, 6450828908, 0, 31547467408, -27117282750, 0, -405215712660, -49446180280, 0, 81065402000, -242108303184, 0, -60477542984, -30787686932, 0, 223836730376, -39913502956, 0, -142231614644, 1575062500, 0, -109035195724, 9386447500, 0, -139941934000, 180179121872, 0, -26815136768, -20867410676, 0, 164206280630, -244975399976, 0, 448111326284, 59268656000, 0, 43954299620, 334001830330, 0, 81100605500, 31234681164, 0, 68843107424, -13822330480, 0, 279010897152, 52519730548, 0, 56200456288, 0, 0, -324595573852, 58534022244, 0, -25048369500, 111925575652, 0, -10486095288, -182692099248, 0, -47640315568, -50132085680, 0, -48141125648, 55159384500, 0, 92172386348, 80280841836, 0, -21328125000], 'weight': 8, '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: 34443719
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588539, 'source_is_minimal': False, 'source_label': '315.8.a.b.1.1', 'source_level': 315, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599761588539, 'target_is_minimal': False, 'target_label': '315.8.a.b.1.1', 'target_level': 315, 'twist_class_label': '105.8.a.a.1.1', 'twist_class_level': 105, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 34443720
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588539, 'source_is_minimal': False, 'source_label': '315.8.a.b.1.1', 'source_level': 315, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 134217833, 'target_is_minimal': True, 'target_label': '105.8.a.a.1.1', 'target_level': 105, 'twist_class_label': '105.8.a.a.1.1', 'twist_class_level': 105, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 34443721
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599761588539, 'source_is_minimal': False, 'source_label': '315.8.a.b.1.1', 'source_level': 315, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199388959245, 'target_is_minimal': False, 'target_label': '525.8.a.c.1.1', 'target_level': 525, 'twist_class_label': '105.8.a.a.1.1', 'twist_class_level': 105, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 689900
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 2}
  • id: 689901
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 3}
  • id: 689902
    {'charpoly_factorization': [[[-125, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 5}
  • id: 689903
    {'charpoly_factorization': [[[-343, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 7}
  • id: 689904
    {'charpoly_factorization': [[[2724, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 11}
  • id: 689905
    {'charpoly_factorization': [[[-2874, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 13}
  • id: 689906
    {'charpoly_factorization': [[[9278, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 17}
  • id: 689907
    {'charpoly_factorization': [[[4304, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 19}
  • id: 689908
    {'charpoly_factorization': [[[-41500, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 23}
  • id: 689909
    {'charpoly_factorization': [[[-35498, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 29}
  • id: 689910
    {'charpoly_factorization': [[[52940, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 31}
  • id: 689911
    {'charpoly_factorization': [[[84098, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 37}
  • id: 689912
    {'charpoly_factorization': [[[180342, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 41}
  • id: 689913
    {'charpoly_factorization': [[[33452, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 43}
  • id: 689914
    {'charpoly_factorization': [[[-136120, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 47}
  • id: 689915
    {'charpoly_factorization': [[[-1270622, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 53}
  • id: 689916
    {'charpoly_factorization': [[[-1553252, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 59}
  • id: 689917
    {'charpoly_factorization': [[[-213598, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 61}
  • id: 689918
    {'charpoly_factorization': [[[-487228, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 67}
  • id: 689919
    {'charpoly_factorization': [[[1086000, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 71}
  • id: 689920
    {'charpoly_factorization': [[[5921978, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 73}
  • id: 689921
    {'charpoly_factorization': [[[5429824, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 79}
  • id: 689922
    {'charpoly_factorization': [[[6933404, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 83}
  • id: 689923
    {'charpoly_factorization': [[[262614, 1], 1]], 'hecke_orbit_code': 4503599761588539, 'p': 89}
  • id: 689924
    {'charpoly_factorization': [[[522234, 1], 1]], 'hecke_orbit_code': 4503599761588539, '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': 2, 'label': '315.8.a.b', 'level': 315, 'portrait': 'data:image/png;base64,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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 19602648
    {'hecke_orbit_code': 4503599761588539, 'n': 1, 'trace_an': 1}
  • id: 19602649
    {'hecke_orbit_code': 4503599761588539, 'n': 2, 'trace_an': 2}
  • id: 19602650
    {'hecke_orbit_code': 4503599761588539, 'n': 3, 'trace_an': 0}
  • id: 19602651
    {'hecke_orbit_code': 4503599761588539, 'n': 4, 'trace_an': -124}
  • id: 19602652
    {'hecke_orbit_code': 4503599761588539, 'n': 5, 'trace_an': 125}
  • id: 19602653
    {'hecke_orbit_code': 4503599761588539, 'n': 6, 'trace_an': 0}
  • id: 19602654
    {'hecke_orbit_code': 4503599761588539, 'n': 7, 'trace_an': 343}
  • id: 19602655
    {'hecke_orbit_code': 4503599761588539, 'n': 8, 'trace_an': -504}
  • id: 19602656
    {'hecke_orbit_code': 4503599761588539, 'n': 9, 'trace_an': 0}
  • id: 19602657
    {'hecke_orbit_code': 4503599761588539, 'n': 10, 'trace_an': 250}
  • id: 19602658
    {'hecke_orbit_code': 4503599761588539, 'n': 11, 'trace_an': -2724}
  • id: 19602659
    {'hecke_orbit_code': 4503599761588539, 'n': 12, 'trace_an': 0}
  • id: 19602660
    {'hecke_orbit_code': 4503599761588539, 'n': 13, 'trace_an': 2874}
  • id: 19602661
    {'hecke_orbit_code': 4503599761588539, 'n': 14, 'trace_an': 686}
  • id: 19602662
    {'hecke_orbit_code': 4503599761588539, 'n': 15, 'trace_an': 0}
  • id: 19602663
    {'hecke_orbit_code': 4503599761588539, 'n': 16, 'trace_an': 14864}
  • id: 19602664
    {'hecke_orbit_code': 4503599761588539, 'n': 17, 'trace_an': -9278}
  • id: 19602665
    {'hecke_orbit_code': 4503599761588539, 'n': 18, 'trace_an': 0}
  • id: 19602666
    {'hecke_orbit_code': 4503599761588539, 'n': 19, 'trace_an': -4304}
  • id: 19602667
    {'hecke_orbit_code': 4503599761588539, 'n': 20, 'trace_an': -15500}
  • id: 19602668
    {'hecke_orbit_code': 4503599761588539, 'n': 21, 'trace_an': 0}
  • id: 19602669
    {'hecke_orbit_code': 4503599761588539, 'n': 22, 'trace_an': -5448}
  • id: 19602670
    {'hecke_orbit_code': 4503599761588539, 'n': 23, 'trace_an': 41500}
  • id: 19602671
    {'hecke_orbit_code': 4503599761588539, 'n': 24, 'trace_an': 0}
  • id: 19602672
    {'hecke_orbit_code': 4503599761588539, 'n': 25, 'trace_an': 15625}
  • id: 19602673
    {'hecke_orbit_code': 4503599761588539, 'n': 26, 'trace_an': 5748}
  • id: 19602674
    {'hecke_orbit_code': 4503599761588539, 'n': 27, 'trace_an': 0}
  • id: 19602675
    {'hecke_orbit_code': 4503599761588539, 'n': 28, 'trace_an': -42532}
  • id: 19602676
    {'hecke_orbit_code': 4503599761588539, 'n': 29, 'trace_an': 35498}
  • id: 19602677
    {'hecke_orbit_code': 4503599761588539, 'n': 30, 'trace_an': 0}
  • id: 19602678
    {'hecke_orbit_code': 4503599761588539, 'n': 31, 'trace_an': -52940}
  • id: 19602679
    {'hecke_orbit_code': 4503599761588539, 'n': 32, 'trace_an': 94240}
  • id: 19602680
    {'hecke_orbit_code': 4503599761588539, 'n': 33, 'trace_an': 0}
  • id: 19602681
    {'hecke_orbit_code': 4503599761588539, 'n': 34, 'trace_an': -18556}
  • id: 19602682
    {'hecke_orbit_code': 4503599761588539, 'n': 35, 'trace_an': 42875}
  • id: 19602683
    {'hecke_orbit_code': 4503599761588539, 'n': 36, 'trace_an': 0}
  • id: 19602684
    {'hecke_orbit_code': 4503599761588539, 'n': 37, 'trace_an': -84098}
  • id: 19602685
    {'hecke_orbit_code': 4503599761588539, 'n': 38, 'trace_an': -8608}
  • id: 19602686
    {'hecke_orbit_code': 4503599761588539, 'n': 39, 'trace_an': 0}
  • id: 19602687
    {'hecke_orbit_code': 4503599761588539, 'n': 40, 'trace_an': -63000}
  • id: 19602688
    {'hecke_orbit_code': 4503599761588539, 'n': 41, 'trace_an': -180342}
  • id: 19602689
    {'hecke_orbit_code': 4503599761588539, 'n': 42, 'trace_an': 0}
  • id: 19602690
    {'hecke_orbit_code': 4503599761588539, 'n': 43, 'trace_an': -33452}
  • id: 19602691
    {'hecke_orbit_code': 4503599761588539, 'n': 44, 'trace_an': 337776}
  • id: 19602692
    {'hecke_orbit_code': 4503599761588539, 'n': 45, 'trace_an': 0}
  • id: 19602693
    {'hecke_orbit_code': 4503599761588539, 'n': 46, 'trace_an': 83000}
  • id: 19602694
    {'hecke_orbit_code': 4503599761588539, 'n': 47, 'trace_an': 136120}
  • id: 19602695
    {'hecke_orbit_code': 4503599761588539, 'n': 48, 'trace_an': 0}
  • id: 19602696
    {'hecke_orbit_code': 4503599761588539, 'n': 49, 'trace_an': 117649}
  • id: 19602697
    {'hecke_orbit_code': 4503599761588539, 'n': 50, 'trace_an': 31250}
  • id: 19602698
    {'hecke_orbit_code': 4503599761588539, 'n': 51, 'trace_an': 0}
  • id: 19602699
    {'hecke_orbit_code': 4503599761588539, 'n': 52, 'trace_an': -356376}
  • id: 19602700
    {'hecke_orbit_code': 4503599761588539, 'n': 53, 'trace_an': 1270622}
  • id: 19602701
    {'hecke_orbit_code': 4503599761588539, 'n': 54, 'trace_an': 0}
  • id: 19602702
    {'hecke_orbit_code': 4503599761588539, 'n': 55, 'trace_an': -340500}
  • id: 19602703
    {'hecke_orbit_code': 4503599761588539, 'n': 56, 'trace_an': -172872}
  • id: 19602704
    {'hecke_orbit_code': 4503599761588539, 'n': 57, 'trace_an': 0}
  • id: 19602705
    {'hecke_orbit_code': 4503599761588539, 'n': 58, 'trace_an': 70996}
  • id: 19602706
    {'hecke_orbit_code': 4503599761588539, 'n': 59, 'trace_an': 1553252}
  • id: 19602707
    {'hecke_orbit_code': 4503599761588539, 'n': 60, 'trace_an': 0}
  • id: 19602708
    {'hecke_orbit_code': 4503599761588539, 'n': 61, 'trace_an': 213598}
  • id: 19602709
    {'hecke_orbit_code': 4503599761588539, 'n': 62, 'trace_an': -105880}
  • id: 19602710
    {'hecke_orbit_code': 4503599761588539, 'n': 63, 'trace_an': 0}
  • id: 19602711
    {'hecke_orbit_code': 4503599761588539, 'n': 64, 'trace_an': -1714112}
  • id: 19602712
    {'hecke_orbit_code': 4503599761588539, 'n': 65, 'trace_an': 359250}
  • id: 19602713
    {'hecke_orbit_code': 4503599761588539, 'n': 66, 'trace_an': 0}
  • id: 19602714
    {'hecke_orbit_code': 4503599761588539, 'n': 67, 'trace_an': 487228}
  • id: 19602715
    {'hecke_orbit_code': 4503599761588539, 'n': 68, 'trace_an': 1150472}
  • id: 19602716
    {'hecke_orbit_code': 4503599761588539, 'n': 69, 'trace_an': 0}
  • id: 19602717
    {'hecke_orbit_code': 4503599761588539, 'n': 70, 'trace_an': 85750}
  • id: 19602718
    {'hecke_orbit_code': 4503599761588539, 'n': 71, 'trace_an': -1086000}
  • id: 19602719
    {'hecke_orbit_code': 4503599761588539, 'n': 72, 'trace_an': 0}
  • id: 19602720
    {'hecke_orbit_code': 4503599761588539, 'n': 73, 'trace_an': -5921978}
  • id: 19602721
    {'hecke_orbit_code': 4503599761588539, 'n': 74, 'trace_an': -168196}
  • id: 19602722
    {'hecke_orbit_code': 4503599761588539, 'n': 75, 'trace_an': 0}
  • id: 19602723
    {'hecke_orbit_code': 4503599761588539, 'n': 76, 'trace_an': 533696}
  • id: 19602724
    {'hecke_orbit_code': 4503599761588539, 'n': 77, 'trace_an': -934332}
  • id: 19602725
    {'hecke_orbit_code': 4503599761588539, 'n': 78, 'trace_an': 0}
  • id: 19602726
    {'hecke_orbit_code': 4503599761588539, 'n': 79, 'trace_an': -5429824}
  • id: 19602727
    {'hecke_orbit_code': 4503599761588539, 'n': 80, 'trace_an': 1858000}
  • id: 19602728
    {'hecke_orbit_code': 4503599761588539, 'n': 81, 'trace_an': 0}
  • id: 19602729
    {'hecke_orbit_code': 4503599761588539, 'n': 82, 'trace_an': -360684}
  • id: 19602730
    {'hecke_orbit_code': 4503599761588539, 'n': 83, 'trace_an': -6933404}
  • id: 19602731
    {'hecke_orbit_code': 4503599761588539, 'n': 84, 'trace_an': 0}
  • id: 19602732
    {'hecke_orbit_code': 4503599761588539, 'n': 85, 'trace_an': -1159750}
  • id: 19602733
    {'hecke_orbit_code': 4503599761588539, 'n': 86, 'trace_an': -66904}
  • id: 19602734
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