Embedded newform data - 192.8.a.u.1.1

Formats: - HTML - YAML - JSON - 2024-04-23T10:04:21.797943

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 12288, 'analytic_conductor': 59.97792489295138, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1]], 'atkin_lehner_string': '+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [192, 1, [127, 133, 65], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 2, 'field_disc': 940, 'field_disc_factorization': [[2, 2], [5, 1], [47, 1]], 'field_poly': [-235, 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, [-52060, 180, 1]], [7, [-1237744, 1032, 1]]], 'hecke_orbit': 21, 'hecke_orbit_code': 90071992681627840, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 16, 'hecke_ring_index_factorization': [[2, 4]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '192.8.a.u', 'level': 192, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '96.8.a.d', 'nf_label': '2.2.940.1', 'prim_orbit_index': 1, 'qexp_display': 'q+3^{3}q^{3}+(-90+\\beta )q^{5}+(-516-5\\beta )q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '192.8.a', 'trace_display': [0, 54, -180, -1032], 'trace_hash': 1311564255047372822, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.939', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.321', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '62.517', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, 0, 54, 0, -180, 0, -1032, 0, 1458, 0, 2840, 0, 340, 0, -4860, 0, 9780, 0, 32040, 0, -27864, 0, -11136, 0, -19730, 0, 39366, 0, -304212, 0, 77640, 0, 76680, 0, -508720, 0, -1015820, 0, 9180, 0, 704100, 0, -395496, 0, -131220, 0, -1157488, 0, 1893426, 0, 264060, 0, -1568580, 0, -977520, 0, 865080, 0, 139240, 0, -2603580, 0, -752328, 0, 5022840, 0, -5289768, 0, -300672, 0, -5721760, 0, -1190700, 0, -532710, 0, 2144160, 0, 398280, 0, 1062882, 0, -6986616, 0, 8504760, 0, -8213724, 0, -8166732, 0, -25442640, 0, 2096280, 0, -11306000, 0, -10361500, 0, 2070360, 0, 22731036, 0, -7918104, 0, -13735440, 0, -579992, 0, 1113140, 0, -27427140, 0, -23149500, 0, -38703360, 0, 247860, 0, -51971280, 0, -30610022, 0, 19010700, 0, -5819400, 0, 30993048, 0, -10678392, 0, -2983720, 0, 25579360, 0, -3542940, 0, 6323460, 0, -99580920, 0, -31252176, 0, -29837840, 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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0.0]], 'angles': [None, None, -0.3523684003310583, -0.18599625636658348, -0.19689307350796614, -0.3604305909746219, -0.30716805918584217, -0.15635003395837166, -0.13824972308432926, -0.34738053470119823, -0.27656782003706554, -0.4055479297010039, -0.12987898918949242, -0.3261030403576299, -0.2678499643091479, -0.27350710060068156, -0.15226878129459887, -0.41128949577449386, -0.3594611556055812, -0.3708196331767769, -0.2089765813523936, -0.16901051644744008, -0.3842667712728891, -0.37802367737341586, -0.34518913687530417, -0.21903601624667088, -0.3461044262997376, -0.346425687870843, -0.21335698775415304, -0.22482474338889635, -0.15156607849480558, -0.11458528054019748, -0.3026630551424866, -0.39032600839720066, -0.2874491674838102, -0.1422933766441664, -0.3693792621924421, -0.31093812401294957, -0.24973055821654463, -0.2785240446341573, -0.13273037537782872, -0.24326636011288427, -0.265937902989032, -0.41004704958792615, -0.11904256327265954, -0.14765723036353234, 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• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[2, -1], [3, -1]], 8, 6], [[[2, 1], [3, -1]], 6, 5], [[[2, -1], [3, 1]], 7, 5], [[[2, 1], [3, 1]], 7, 6]], 'ALdims': [7, 6, 7, 8], 'Nk2': 12288, 'analytic_conductor': 59.97792489295138, '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': [192, 1, [127, 133, 65], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 212, 'dim': 28, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7], 'hecke_orbit_code': 134217920, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2], 'label': '192.8.a', 'level': 192, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 236, 'mf_new_dim': 28, 'num_forms': 22, 'plus_dim': 15, 'prim_orbit_index': 1, 'relative_dim': 28, 'sturm_bound': 256, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 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0, -9245333018944, 0, 0, 0, -2567764122056, 0, 0, 0, -5655234470472, 0, 0, 0, 1989451895984, 0, 0, 0, -17147658406624, 0, 0, 0, 2909273248944, 0, 0, 0, 5801201543656, 0, 0, 0, 1614697071888, 0, 0, 0, -778654598616, 0, 0, 0], '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: 48356937
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90071992681627840, 'source_is_minimal': False, 'source_label': '192.8.a.u.1.1', 'source_level': 192, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 90071992681627840, 'target_is_minimal': False, 'target_label': '192.8.a.u.1.1', 'target_level': 192, 'twist_class_label': '96.8.a.d.1.2', 'twist_class_level': 96, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 48356938
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90071992681627840, 'source_is_minimal': False, 'source_label': '192.8.a.u.1.1', 'source_level': 192, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 166633186346926656, 'target_is_minimal': False, 'target_label': '576.8.a.bl.1.2', 'target_level': 576, 'twist_class_label': '96.8.a.d.1.2', 'twist_class_level': 96, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 48356939
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90071992681627840, 'source_is_minimal': False, 'source_label': '192.8.a.u.1.1', 'source_level': 192, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 76561193799516352, 'target_is_minimal': False, 'target_label': '192.8.a.r.1.1', 'target_level': 192, 'twist_class_label': '96.8.a.d.1.2', 'twist_class_level': 96, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 48356940
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90071992681627840, 'source_is_minimal': False, 'source_label': '192.8.a.u.1.1', 'source_level': 192, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021597898440800, 'target_is_minimal': True, 'target_label': '96.8.a.g.1.2', 'target_level': 96, 'twist_class_label': '96.8.a.d.1.2', 'twist_class_level': 96, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 48356941
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90071992681627840, 'source_is_minimal': False, 'source_label': '192.8.a.u.1.1', 'source_level': 192, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510799016329312, 'target_is_minimal': True, 'target_label': '96.8.a.d.1.2', 'target_level': 96, 'twist_class_label': '96.8.a.d.1.2', 'twist_class_level': 96, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 8}
  • id: 48356942
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90071992681627840, 'source_is_minimal': False, 'source_label': '192.8.a.u.1.1', 'source_level': 192, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 171136785974297152, 'target_is_minimal': False, 'target_label': '576.8.a.bm.1.2', 'target_level': 576, 'twist_class_label': '96.8.a.d.1.2', 'twist_class_level': 96, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 8}
  • id: 48356943
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90071992681627840, 'source_is_minimal': False, 'source_label': '192.8.a.u.1.1', 'source_level': 192, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797153181984, 'target_is_minimal': False, 'target_label': '288.8.a.i.1.1', 'target_level': 288, 'twist_class_label': '96.8.a.d.1.2', 'twist_class_level': 96, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 8}
  • id: 48356944
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 90071992681627840, 'source_is_minimal': False, 'source_label': '192.8.a.u.1.1', 'source_level': 192, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396780552480, 'target_is_minimal': False, 'target_label': '288.8.a.j.1.1', 'target_level': 288, 'twist_class_label': '96.8.a.d.1.2', 'twist_class_level': 96, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 481950
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 90071992681627840, 'p': 2}
  • id: 481951
    {'charpoly_factorization': [[[-27, 1], 2]], 'hecke_orbit_code': 90071992681627840, 'p': 3}
  • id: 481952
    {'charpoly_factorization': [[[-52060, 180, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 5}
  • id: 481953
    {'charpoly_factorization': [[[-1237744, 1032, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 7}
  • id: 481954
    {'charpoly_factorization': [[[-149360, -2840, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 11}
  • id: 481955
    {'charpoly_factorization': [[[-106093340, -340, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 13}
  • id: 481956
    {'charpoly_factorization': [[[-342101340, -9780, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 17}
  • id: 481957
    {'charpoly_factorization': [[[-38143600, -32040, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 19}
  • id: 481958
    {'charpoly_factorization': [[[-6520421376, 11136, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 23}
  • id: 481959
    {'charpoly_factorization': [[[23134731236, 304212, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 29}
  • id: 481960
    {'charpoly_factorization': [[[-7317817840, -77640, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 31}
  • id: 481961
    {'charpoly_factorization': [[[257963905060, 1015820, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 37}
  • id: 481962
    {'charpoly_factorization': [[[60115458500, -704100, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 41}
  • id: 481963
    {'charpoly_factorization': [[[-40457328496, 395496, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 43}
  • id: 481964
    {'charpoly_factorization': [[[159030761536, 1157488, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 47}
  • id: 481965
    {'charpoly_factorization': [[[398618486660, 1568580, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 53}
  • id: 481966
    {'charpoly_factorization': [[[-3051785437040, -139240, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 59}
  • id: 481967
    {'charpoly_factorization': [[[-1219589451900, 2603580, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 61}
  • id: 481968
    {'charpoly_factorization': [[[6764300717456, 5289768, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 67}
  • id: 481969
    {'charpoly_factorization': [[[6518885551360, 5721760, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 71}
  • id: 481970
    {'charpoly_factorization': [[[-4889157880860, 1190700, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 73}
  • id: 481971
    {'charpoly_factorization': [[[-16532041465840, -398280, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 79}
  • id: 481972
    {'charpoly_factorization': [[[-6199749233136, 6986616, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 83}
  • id: 481973
    {'charpoly_factorization': [[[-13565931134044, 8166732, 1], 1]], 'hecke_orbit_code': 90071992681627840, 'p': 89}
  • id: 481974
    {'charpoly_factorization': [[[2418705617860, 10361500, 1], 1]], 'hecke_orbit_code': 90071992681627840, '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': 21, 'label': '192.8.a.u', 'level': 192, '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: 250891000
    {'hecke_orbit_code': 90071992681627840, 'n': 1, 'trace_an': 2}
  • id: 250891001
    {'hecke_orbit_code': 90071992681627840, 'n': 2, 'trace_an': 0}
  • id: 250891002
    {'hecke_orbit_code': 90071992681627840, 'n': 3, 'trace_an': 54}
  • id: 250891003
    {'hecke_orbit_code': 90071992681627840, 'n': 4, 'trace_an': 0}
  • id: 250891004
    {'hecke_orbit_code': 90071992681627840, 'n': 5, 'trace_an': -180}
  • id: 250891005
    {'hecke_orbit_code': 90071992681627840, 'n': 6, 'trace_an': 0}
  • id: 250891006
    {'hecke_orbit_code': 90071992681627840, 'n': 7, 'trace_an': -1032}
  • id: 250891007
    {'hecke_orbit_code': 90071992681627840, 'n': 8, 'trace_an': 0}
  • id: 250891008
    {'hecke_orbit_code': 90071992681627840, 'n': 9, 'trace_an': 1458}
  • id: 250891009
    {'hecke_orbit_code': 90071992681627840, 'n': 10, 'trace_an': 0}
  • id: 250891010
    {'hecke_orbit_code': 90071992681627840, 'n': 11, 'trace_an': 2840}
  • id: 250891011
    {'hecke_orbit_code': 90071992681627840, 'n': 12, 'trace_an': 0}
  • id: 250891012
    {'hecke_orbit_code': 90071992681627840, 'n': 13, 'trace_an': 340}
  • id: 250891013
    {'hecke_orbit_code': 90071992681627840, 'n': 14, 'trace_an': 0}
  • id: 250891014
    {'hecke_orbit_code': 90071992681627840, 'n': 15, 'trace_an': -4860}
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  • id: 250891982
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  • id: 250891988
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  • id: 250891989
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  • id: 250891990
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  • id: 250891991
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  • id: 250891992
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  • id: 250891993
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  • id: 250891994
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  • id: 250891995
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  • id: 250891996
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  • id: 250891997
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  • id: 250891998
    {'hecke_orbit_code': 90071992681627840, 'n': 999, 'trace_an': -19994385060}
  • id: 250891999
    {'hecke_orbit_code': 90071992681627840, 'n': 1000, 'trace_an': 0}