Embedded newform data - 50.26.b.a.49.2

Formats: - HTML - YAML - JSON - 2025-06-17T10:24:37.259883

• 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': 33800, 'analytic_conductor': 197.99838997612162, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [50, 2, [27], [1]], 'cm_discs': [], 'conrey_index': 49, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [9595377936, 0, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 69155684402, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '50.26.b.a', 'level': 50, '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, 5], 'level_radical': 10, 'minimal_twist': '2.26.a.a', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+2048\\beta q^{2}+48978\\beta q^{3}-16777216 q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '25.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '50.26.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 856412167429980253, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.010', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.940', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.089', 'prec': 17}, {'__RealLiteral__': 0, 'data': '15.366', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1.025', 'prec': 17}, {'__RealLiteral__': 0, 'data': '151.439', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.508', 'prec': 17}, 'traces': [2, 0, 0, -33554432, 0, -802455552, 0, 0, 1675386463014, 0, -29012444754216, 0, 0, -334910565318656, 0, 562949953421312, 0, 0, 27998849408195480, 0, -8009399252039616, 0, 0, 13462970126303232, 0, -719617962287153152, 0, 0, -4160460859203053820, 0, 5327064742605350464, 0, 0, -21753248717919338496, 0, -28108320573461889024, 0, 0, -17209691678173919472, 0, 467119614568450661844, 0, 0, 486748052329548742656, 0, -703305979691298127872, 0, 0, -660642836998850133234, 0, -520229792825319023856, 0, 0, -1352123033289508454400, 0, 5618866895033200541696, 0, 0, 16677810543100138197960, 0, 48595896938126376273724, 0, 0, -9444732965739290427392, 0, 11640598685056952303616, 0, 0, -16819589977207226419392, 0, -186097965393815479969776, 0, 0, -420901748574744053497856, 0, -469742744272767738183680, 0, 0, 1610540227078311978788960, 0, 1387199791368333628082802, 0, 0, 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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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-0.3726994605410848, 0.08756853878105264, 0.0932020070120387, -0.12079548888470734, 0.0669632405726845, -0.3419044973110625, -0.20089340905108255, 0.11085683267391094, -0.10019532423368517, -0.487799772092743, -0.4718994793293044, 0.009463649365029145, -0.20065661735955756, -0.15034587454118864, 0.19048636590856638, -0.3046173113036801, 0.01646816694118489, -0.11097167697609683, 0.0007340975329598048, -0.3881513413077701, 0.10922692778948877, -0.19789030473740102, 0.08826361558911343, 0.021482484136626286, -0.20433127724792444, -0.41700985304260174, 0.0014685644299930005, -0.2878909922080593, 0.06940695735992959, -0.24480072013325263, -0.31269249584856973, -0.26223354974206614, 0.023655873534055752, -0.3513134130182072, -0.4490781773765849, -0.4596357783839805, -0.21118273870465323, -0.28055320535069017, -0.34294724091325557, -0.4919275942328971, 0.030805123303192083, -0.2980465055630324, -0.19735094635450467, -0.33841155719081534, -0.4919161156750725, -0.4038336600830927, 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0.04793258585131285, -0.3451988829453994, -0.21560745332816839, -0.16565283922355295, -0.44545092945114867, 0.13400395096490622, -0.3811526227497201, -0.49146460199746217, -0.48106440617719903, -0.14830655762638298, -0.4987028232272444, 0.09348101956244005, -0.4909233629079168, -0.18929170238700604, -0.28813075981081, -0.17360025351787756, -0.46727379809237807, -0.39417058938098726, -0.3857405505083773, -0.49536207938897786, -0.4792115509057218, -0.2698470509572789, 0.1094576094039181, 0.0071702622537786085, -0.22200203905781002, -0.44115293184696014], 'char_orbit_index': 2, 'conrey_index': 49, 'dual_conrey_index': 49, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 1, 'hecke_orbit_code': 69155684402, 'label': '50.26.b.a.49.2', 'level': 50, 'weight': 26}
• 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

  
  {'Nk2': 33800, 'analytic_conductor': 197.99838997612162, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [50, 2, [27], [1]], 'conrey_index': 49, 'cusp_dim': 182, 'dim': 38, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 69155684402, 'hecke_orbit_dims': [2, 2, 4, 4, 4, 4, 8, 10], 'label': '50.26.b', 'level': 50, '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, 5], 'level_radical': 10, 'mf_dim': 194, 'mf_new_dim': 38, 'num_forms': 8, 'prim_orbit_index': 2, 'relative_dim': 38, 'sturm_bound': 195, 'trace_bound': 6, 'trace_display': [0, 0, 0, 0], 'traces': [38, 0, 0, -637534208, 0, 8776835072, 0, 0, -12991242549664, 0, -30472316016774, 0, 0, -330406594985984, 0, 10696049115004928, 0, 0, 35852589007060790, 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118343182293655751178153144716080973140, 0], 'weight': 26, '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: 771609
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 69155684402, 'source_is_minimal': False, 'source_label': '50.26.b.a.49.2', 'source_level': 50, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 69155684402, 'target_is_minimal': False, 'target_label': '50.26.b.a.49.2', 'target_level': 50, 'twist_class_label': '2.26.a.a.1.1', 'twist_class_level': 2, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 26}
  • id: 771610
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 69155684402, 'source_is_minimal': False, 'source_label': '50.26.b.a.49.2', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 436207618, 'target_is_minimal': True, 'target_label': '2.26.a.a.1.1', 'target_level': 2, 'twist_class_label': '2.26.a.a.1.1', 'twist_class_level': 2, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 26}
  • id: 771611
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 69155684402, 'source_is_minimal': False, 'source_label': '50.26.b.a.49.2', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503600063578162, 'target_is_minimal': False, 'target_label': '50.26.a.b.1.1', 'target_level': 50, 'twist_class_label': '2.26.a.a.1.1', 'twist_class_level': 2, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 26}
  • id: 771612
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 69155684402, 'source_is_minimal': False, 'source_label': '50.26.b.a.49.2', 'source_level': 50, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 69155684402, 'target_is_minimal': False, 'target_label': '50.26.b.a.49.1', 'target_level': 50, 'twist_class_label': '2.26.a.a.1.1', 'twist_class_level': 2, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 26}
  • id: 771613
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 69155684402, 'source_is_minimal': False, 'source_label': '50.26.b.a.49.2', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199690948626, 'target_is_minimal': False, 'target_label': '18.26.a.c.1.1', 'target_level': 18, 'twist_class_label': '2.26.a.a.1.1', 'twist_class_level': 2, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 26}
  • id: 771614
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 69155684402, 'source_is_minimal': False, 'source_label': '50.26.b.a.49.2', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 436207632, 'target_is_minimal': False, 'target_label': '16.26.a.a.1.1', 'target_level': 16, 'twist_class_label': '2.26.a.a.1.1', 'twist_class_level': 2, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 26}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 174400
    {'charpoly_factorization': [[[16777216, 0, 1], 1]], 'hecke_orbit_code': 69155684402, 'p': 2}
  • id: 174401
    {'charpoly_factorization': [[[9595377936, 0, 1], 1]], 'hecke_orbit_code': 69155684402, 'p': 3}
  • id: 174402
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 69155684402, 'p': 5}
  • id: 174403
    {'charpoly_factorization': [[[1671390038163389967424, 0, 1], 1]], 'hecke_orbit_code': 69155684402, 'p': 7}
  • id: 174404
    {'charpoly_factorization': [[[14506222377108, 1], 2]], 'hecke_orbit_code': 69155684402, 'p': 11}
  • id: 174405
    {'charpoly_factorization': [[[7716566497777619602243444036, 0, 1], 1]], 'hecke_orbit_code': 69155684402, 'p': 13}
  • id: 174406
    {'charpoly_factorization': [[[7051286545152356386289694943044, 0, 1], 1]], 'hecke_orbit_code': 69155684402, 'p': 17}
  • id: 174407
    {'charpoly_factorization': [[[-13999424704097740, 1], 2]], 'hecke_orbit_code': 69155684402, 'p': 19}
  • id: 174408
    {'charpoly_factorization': [[[7370699958049307088340243622293056, 0, 1], 1]], 'hecke_orbit_code': 69155684402, 'p': 23}
  • id: 174409
    {'charpoly_factorization': [[[2080230429601526910, 1], 2]], 'hecke_orbit_code': 69155684402, 'p': 29}
  • id: 174410
    {'charpoly_factorization': [[[-2663532371302675232, 1], 2]], 'hecke_orbit_code': 69155684402, 'p': 31}
  • id: 174411
    {'charpoly_factorization': [[[2639864116210893658847167139287626143524, 0, 1], 1]], 'hecke_orbit_code': 69155684402, 'p': 37}
  • id: 174412
    {'charpoly_factorization': [[[-233559807284225330922, 1], 2]], 'hecke_orbit_code': 69155684402, 'p': 41}
  • id: 174413
    {'charpoly_factorization': [[[1610705615762089288092382404719880051856, 0, 1], 1]], 'hecke_orbit_code': 69155684402, 'p': 43}
  • id: 174414
    {'charpoly_factorization': [[[78302811359407442937854922838196545353984, 0, 1], 1]], 'hecke_orbit_code': 69155684402, 'p': 47}
  • id: 174415
    {'charpoly_factorization': [[[180684892979767397796311294860855096232676, 0, 1], 1]], 'hecke_orbit_code': 69155684402, 'p': 53}
  • id: 174416
    {'charpoly_factorization': [[[-8338905271550069098980, 1], 2]], 'hecke_orbit_code': 69155684402, 'p': 59}
  • id: 174417
    {'charpoly_factorization': [[[-24297948469063188136862, 1], 2]], 'hecke_orbit_code': 69155684402, 'p': 61}
  • id: 174418
    {'charpoly_factorization': [[[15550108289779929894867781910517216909164391184, 0, 1], 1]], 'hecke_orbit_code': 69155684402, 'p': 67}
  • id: 174419
    {'charpoly_factorization': [[[93048982696907739984888, 1], 2]], 'hecke_orbit_code': 69155684402, 'p': 71}
  • id: 174420
    {'charpoly_factorization': [[[1633921791240639755487414444124567985647159396, 0, 1], 1]], 'hecke_orbit_code': 69155684402, 'p': 73}
  • id: 174421
    {'charpoly_factorization': [[[-805270113539155989394480, 1], 2]], 'hecke_orbit_code': 69155684402, 'p': 79}
  • id: 174422
    {'charpoly_factorization': [[[80700548537726554147923726535843322485650576, 0, 1], 1]], 'hecke_orbit_code': 69155684402, 'p': 83}
  • id: 174423
    {'charpoly_factorization': [[[3556004636909897335022490, 1], 2]], 'hecke_orbit_code': 69155684402, 'p': 89}
  • id: 174424
    {'charpoly_factorization': [[[75004079960736130632306589539632298564007617448324, 0, 1], 1]], 'hecke_orbit_code': 69155684402, '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': 2, 'hecke_orbit': 1, 'label': '50.26.b.a', 'level': 50, 'portrait': 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', 'weight': 26}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 5293138
    {'hecke_orbit_code': 69155684402, 'n': 7, 'trace_an': 0}
  • id: 5293160
    {'hecke_orbit_code': 69155684402, 'n': 1, 'trace_an': 2}
  • id: 5293161
    {'hecke_orbit_code': 69155684402, 'n': 2, 'trace_an': 0}
  • id: 5293162
    {'hecke_orbit_code': 69155684402, 'n': 3, 'trace_an': 0}
  • id: 5293163
    {'hecke_orbit_code': 69155684402, 'n': 4, 'trace_an': -33554432}
  • id: 5293164
    {'hecke_orbit_code': 69155684402, 'n': 5, 'trace_an': 0}
  • id: 5293165
    {'hecke_orbit_code': 69155684402, 'n': 6, 'trace_an': -802455552}
  • id: 5293166
    {'hecke_orbit_code': 69155684402, 'n': 8, 'trace_an': 0}
  • id: 5293167
    {'hecke_orbit_code': 69155684402, 'n': 9, 'trace_an': 1675386463014}
  • id: 5293168
    {'hecke_orbit_code': 69155684402, 'n': 10, 'trace_an': 0}
  • id: 5293169
    {'hecke_orbit_code': 69155684402, 'n': 11, 'trace_an': -29012444754216}
  • id: 5293170
    {'hecke_orbit_code': 69155684402, 'n': 12, 'trace_an': 0}
  • id: 5293171
    {'hecke_orbit_code': 69155684402, 'n': 13, 'trace_an': 0}
  • id: 5293172
    {'hecke_orbit_code': 69155684402, 'n': 14, 'trace_an': -334910565318656}
  • id: 5293173
    {'hecke_orbit_code': 69155684402, 'n': 15, 'trace_an': 0}
  • id: 5293174
    {'hecke_orbit_code': 69155684402, 'n': 16, 'trace_an': 562949953421312}
  • id: 5293175
    {'hecke_orbit_code': 69155684402, 'n': 17, 'trace_an': 0}
  • id: 5293176
    {'hecke_orbit_code': 69155684402, 'n': 18, 'trace_an': 0}
  • id: 5293177
    {'hecke_orbit_code': 69155684402, 'n': 19, 'trace_an': 27998849408195480}
  • id: 5293178
    {'hecke_orbit_code': 69155684402, 'n': 20, 'trace_an': 0}
  • id: 5293179
    {'hecke_orbit_code': 69155684402, 'n': 21, 'trace_an': -8009399252039616}
  • id: 5293180
    {'hecke_orbit_code': 69155684402, 'n': 22, 'trace_an': 0}
  • id: 5293181
    {'hecke_orbit_code': 69155684402, 'n': 23, 'trace_an': 0}
  • id: 5293182
    {'hecke_orbit_code': 69155684402, 'n': 24, 'trace_an': 13462970126303232}
  • id: 5293183
    {'hecke_orbit_code': 69155684402, 'n': 25, 'trace_an': 0}
  • id: 5293184
    {'hecke_orbit_code': 69155684402, 'n': 26, 'trace_an': -719617962287153152}
  • id: 5293185
    {'hecke_orbit_code': 69155684402, 'n': 27, 'trace_an': 0}
  • id: 5293186
    {'hecke_orbit_code': 69155684402, 'n': 28, 'trace_an': 0}
  • id: 5293187
    {'hecke_orbit_code': 69155684402, 'n': 29, 'trace_an': -4160460859203053820}
  • id: 5293188
    {'hecke_orbit_code': 69155684402, 'n': 30, 'trace_an': 0}
  • id: 5293189
    {'hecke_orbit_code': 69155684402, 'n': 31, 'trace_an': 5327064742605350464}
  • id: 5293190
    {'hecke_orbit_code': 69155684402, 'n': 32, 'trace_an': 0}
  • id: 5293191
    {'hecke_orbit_code': 69155684402, 'n': 33, 'trace_an': 0}
  • id: 5293192
    {'hecke_orbit_code': 69155684402, 'n': 34, 'trace_an': -21753248717919338496}
  • id: 5293193
    {'hecke_orbit_code': 69155684402, 'n': 35, 'trace_an': 0}
  • id: 5293194
    {'hecke_orbit_code': 69155684402, 'n': 36, 'trace_an': -28108320573461889024}
  • id: 5293195
    {'hecke_orbit_code': 69155684402, 'n': 37, 'trace_an': 0}
  • id: 5293196
    {'hecke_orbit_code': 69155684402, 'n': 38, 'trace_an': 0}
  • id: 5293197
    {'hecke_orbit_code': 69155684402, 'n': 39, 'trace_an': -17209691678173919472}
  • id: 5293198
    {'hecke_orbit_code': 69155684402, 'n': 40, 'trace_an': 0}
  • id: 5293199
    {'hecke_orbit_code': 69155684402, 'n': 41, 'trace_an': 467119614568450661844}
  • id: 5293200
    {'hecke_orbit_code': 69155684402, 'n': 42, 'trace_an': 0}
  • id: 5293201
    {'hecke_orbit_code': 69155684402, 'n': 43, 'trace_an': 0}
  • id: 5293202
    {'hecke_orbit_code': 69155684402, 'n': 44, 'trace_an': 486748052329548742656}
  • id: 5293203
    {'hecke_orbit_code': 69155684402, 'n': 45, 'trace_an': 0}
  • id: 5293204
    {'hecke_orbit_code': 69155684402, 'n': 46, 'trace_an': -703305979691298127872}
  • id: 5293205
    {'hecke_orbit_code': 69155684402, 'n': 47, 'trace_an': 0}
  • id: 5293206
    {'hecke_orbit_code': 69155684402, 'n': 48, 'trace_an': 0}
  • id: 5293207
    {'hecke_orbit_code': 69155684402, 'n': 49, 'trace_an': -660642836998850133234}
  • id: 5293208
    {'hecke_orbit_code': 69155684402, 'n': 50, 'trace_an': 0}
  • id: 5293209
    {'hecke_orbit_code': 69155684402, 'n': 51, 'trace_an': -520229792825319023856}
  • id: 5293210
    {'hecke_orbit_code': 69155684402, 'n': 52, 'trace_an': 0}
  • id: 5293211
    {'hecke_orbit_code': 69155684402, 'n': 53, 'trace_an': 0}
  • id: 5293212
    {'hecke_orbit_code': 69155684402, 'n': 54, 'trace_an': -1352123033289508454400}
  • id: 5293213
    {'hecke_orbit_code': 69155684402, 'n': 55, 'trace_an': 0}
  • id: 5293214
    {'hecke_orbit_code': 69155684402, 'n': 56, 'trace_an': 5618866895033200541696}
  • id: 5293215
    {'hecke_orbit_code': 69155684402, 'n': 57, 'trace_an': 0}
  • id: 5293216
    {'hecke_orbit_code': 69155684402, 'n': 58, 'trace_an': 0}
  • id: 5293217
    {'hecke_orbit_code': 69155684402, 'n': 59, 'trace_an': 16677810543100138197960}
  • id: 5293218
    {'hecke_orbit_code': 69155684402, 'n': 60, 'trace_an': 0}
  • id: 5293219
    {'hecke_orbit_code': 69155684402, 'n': 61, 'trace_an': 48595896938126376273724}
  • id: 5293220
    {'hecke_orbit_code': 69155684402, 'n': 62, 'trace_an': 0}
  • id: 5293221
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  • id: 5293408
    {'hecke_orbit_code': 69155684402, 'n': 947, 'trace_an': 0}
  • id: 5293409
    {'hecke_orbit_code': 69155684402, 'n': 953, 'trace_an': 0}
  • id: 5293410
    {'hecke_orbit_code': 69155684402, 'n': 961, 'trace_an': -24276775593908212272163663117403233854}
  • id: 5293411
    {'hecke_orbit_code': 69155684402, 'n': 967, 'trace_an': 0}
  • id: 5293412
    {'hecke_orbit_code': 69155684402, 'n': 971, 'trace_an': -10890555496823219054647758254373635496}
  • id: 5293413
    {'hecke_orbit_code': 69155684402, 'n': 977, 'trace_an': 0}
  • id: 5293414
    {'hecke_orbit_code': 69155684402, 'n': 983, 'trace_an': 0}
  • id: 5293415
    {'hecke_orbit_code': 69155684402, 'n': 991, 'trace_an': 19771728642090428104662738841778528704}
  • id: 5293416
    {'hecke_orbit_code': 69155684402, 'n': 997, 'trace_an': 0}