Embedded newform data - 225.10.a.c.1.1

Formats: - HTML - YAML - JSON - 2024-05-01T11:30:21.676050

• 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': 22500, 'analytic_conductor': 115.88306313687146, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, 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': [225, 1, [101, 127], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [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, [4, 1]], [7, [-7680, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199422513377, '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_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '225.10.a.c', 'level': 225, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'minimal_twist': '15.10.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-4q^{2}-496q^{4}+7680q^{7}+4032q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '225.10.a', 'trace_display': [-4, 0, 0, 7680], 'trace_hash': 1923435731449382160, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.996', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.028', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.041', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.107', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [1, -4, 0, -496, 0, 0, 7680, 4032, 0, 0, 86404, 0, 149978, -30720, 0, 237824, -207622, 0, 716284, 0, 0, -345616, 1369920, 0, 0, -599912, 0, -3809280, 3194402, 0, -2349000, -3015680, 0, 830488, 0, 0, -18735710, -2865136, 0, 0, 29282630, 0, 1516724, -42856384, 0, -5479680, 615752, 0, 18628793, 0, 0, -74389088, 4747430, 0, 0, 30965760, 0, -12777608, -60616076, 0, -126745682, 9396000, 0, -109703168, 0, 0, 111182652, 102980512, 0, 0, 175551608, 0, 61233350, 74942840, 0, -355276864, 663582720, 0, 234431160, 0, 0, -117130520, 118910388, 0, 0, -6066896, 0, 348380928, 316534326, 0, 1151831040, -679480320, 0, -2463008, 0, 0, -242912258, -74515172, 0, 0, 653802714, 0, -1404202496, 604711296, 0, -18989720, -1838535108, 0, -933452146, 0, 0, 1826488320, -92853382, 0, 0, -1584423392, 0, 242464304, -1594536960, 0, 5107703525, 506982728, 0, 1165104000, 0, 0, -1738192888, 1982840832, 0, 0, 2497296252, 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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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-0.18037253899480132, -0.3452057120753353, -0.2555273447159123, -0.3023216307054295, -0.3952857189692381, -0.24275708626471534, -0.2048877587781217], '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': 3, 'hecke_orbit_code': 9007199422513377, 'label': '225.10.a.c.1.1', 'level': 225, 'weight': 10}
• 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': [[[[3, -1], [5, -1]], 21, 6], [[[3, 1], [5, 1]], 13, 4], [[[3, 1], [5, -1]], 16, 3], [[[3, -1], [5, 1]], 20, 11]], 'ALdims': [13, 16, 20, 21], 'Nk2': 22500, 'analytic_conductor': 115.88306313687146, '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': [225, 1, [101, 127], [1, 1]], 'conrey_index': 1, 'cusp_dim': 258, 'dim': 70, 'eis_dim': 24, 'eis_new_dim': 3, 'hecke_cutter_primes': [2, 7], 'hecke_orbit_code': 167772385, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 6, 6, 8], 'label': '225.10.a', 'level': 225, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'mf_dim': 282, 'mf_new_dim': 73, 'num_forms': 24, 'plus_dim': 34, 'prim_orbit_index': 1, 'relative_dim': 70, 'sturm_bound': 300, 'trace_bound': 7, 'trace_display': [32, 0, 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• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 40526943
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513377, 'source_is_minimal': False, 'source_label': '225.10.a.c.1.1', 'source_level': 225, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199422513377, 'target_is_minimal': False, 'target_label': '225.10.a.c.1.1', 'target_level': 225, 'twist_class_label': '15.10.a.a.1.1', 'twist_class_level': 15, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 40526944
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513377, 'source_is_minimal': False, 'source_label': '225.10.a.c.1.1', 'source_level': 225, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199422513227, 'target_is_minimal': False, 'target_label': '75.10.a.c.1.1', 'target_level': 75, 'twist_class_label': '15.10.a.a.1.1', 'twist_class_level': 15, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 40526945
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513377, 'source_is_minimal': False, 'source_label': '225.10.a.c.1.1', 'source_level': 225, 'target_conrey_index': 199, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014467396731105, 'target_is_minimal': False, 'target_label': '225.10.b.e.199.1', 'target_level': 225, 'twist_class_label': '15.10.a.a.1.1', 'twist_class_level': 15, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 40526946
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513377, 'source_is_minimal': False, 'source_label': '225.10.a.c.1.1', 'source_level': 225, 'target_conrey_index': 199, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014467396731105, 'target_is_minimal': False, 'target_label': '225.10.b.e.199.2', 'target_level': 225, 'twist_class_label': '15.10.a.a.1.1', 'twist_class_level': 15, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 40526947
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513377, 'source_is_minimal': False, 'source_label': '225.10.a.c.1.1', 'source_level': 225, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599795142701, 'target_is_minimal': False, 'target_label': '45.10.a.b.1.1', 'target_level': 45, 'twist_class_label': '15.10.a.a.1.1', 'twist_class_level': 15, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 10}
  • id: 40526948
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513377, 'source_is_minimal': False, 'source_label': '225.10.a.c.1.1', 'source_level': 225, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510867769360459, 'target_is_minimal': False, 'target_label': '75.10.b.d.49.2', 'target_level': 75, 'twist_class_label': '15.10.a.a.1.1', 'twist_class_level': 15, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 40526949
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513377, 'source_is_minimal': False, 'source_label': '225.10.a.c.1.1', 'source_level': 225, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510867769360459, 'target_is_minimal': False, 'target_label': '75.10.b.d.49.1', 'target_level': 75, 'twist_class_label': '15.10.a.a.1.1', 'twist_class_level': 15, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 10}
  • id: 40526950
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513377, 'source_is_minimal': False, 'source_label': '225.10.a.c.1.1', 'source_level': 225, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772175, 'target_is_minimal': True, 'target_label': '15.10.a.a.1.1', 'target_level': 15, 'twist_class_label': '15.10.a.a.1.1', 'twist_class_level': 15, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 10}
  • id: 40526951
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513377, 'source_is_minimal': False, 'source_label': '225.10.a.c.1.1', 'source_level': 225, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199422513392, 'target_is_minimal': False, 'target_label': '240.10.a.c.1.1', 'target_level': 240, 'twist_class_label': '15.10.a.a.1.1', 'twist_class_level': 15, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 447975
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 2}
  • id: 447976
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 3}
  • id: 447977
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 5}
  • id: 447978
    {'charpoly_factorization': [[[-7680, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 7}
  • id: 447979
    {'charpoly_factorization': [[[-86404, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 11}
  • id: 447980
    {'charpoly_factorization': [[[-149978, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 13}
  • id: 447981
    {'charpoly_factorization': [[[207622, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 17}
  • id: 447982
    {'charpoly_factorization': [[[-716284, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 19}
  • id: 447983
    {'charpoly_factorization': [[[-1369920, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 23}
  • id: 447984
    {'charpoly_factorization': [[[-3194402, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 29}
  • id: 447985
    {'charpoly_factorization': [[[2349000, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 31}
  • id: 447986
    {'charpoly_factorization': [[[18735710, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 37}
  • id: 447987
    {'charpoly_factorization': [[[-29282630, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 41}
  • id: 447988
    {'charpoly_factorization': [[[-1516724, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 43}
  • id: 447989
    {'charpoly_factorization': [[[-615752, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 47}
  • id: 447990
    {'charpoly_factorization': [[[-4747430, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 53}
  • id: 447991
    {'charpoly_factorization': [[[60616076, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 59}
  • id: 447992
    {'charpoly_factorization': [[[126745682, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 61}
  • id: 447993
    {'charpoly_factorization': [[[-111182652, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 67}
  • id: 447994
    {'charpoly_factorization': [[[-175551608, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 71}
  • id: 447995
    {'charpoly_factorization': [[[-61233350, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 73}
  • id: 447996
    {'charpoly_factorization': [[[-234431160, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 79}
  • id: 447997
    {'charpoly_factorization': [[[-118910388, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 83}
  • id: 447998
    {'charpoly_factorization': [[[-316534326, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 89}
  • id: 447999
    {'charpoly_factorization': [[[242912258, 1], 1]], 'hecke_orbit_code': 9007199422513377, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 3, 'label': '225.10.a.c', 'level': 225, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 113255000
    {'hecke_orbit_code': 9007199422513377, 'n': 1, 'trace_an': 1}
  • id: 113255001
    {'hecke_orbit_code': 9007199422513377, 'n': 2, 'trace_an': -4}
  • id: 113255002
    {'hecke_orbit_code': 9007199422513377, 'n': 3, 'trace_an': 0}
  • id: 113255003
    {'hecke_orbit_code': 9007199422513377, 'n': 4, 'trace_an': -496}
  • id: 113255004
    {'hecke_orbit_code': 9007199422513377, 'n': 5, 'trace_an': 0}
  • id: 113255005
    {'hecke_orbit_code': 9007199422513377, 'n': 6, 'trace_an': 0}
  • id: 113255006
    {'hecke_orbit_code': 9007199422513377, 'n': 7, 'trace_an': 7680}
  • id: 113255007
    {'hecke_orbit_code': 9007199422513377, 'n': 8, 'trace_an': 4032}
  • id: 113255008
    {'hecke_orbit_code': 9007199422513377, 'n': 9, 'trace_an': 0}
  • id: 113255009
    {'hecke_orbit_code': 9007199422513377, 'n': 10, 'trace_an': 0}
  • id: 113255010
    {'hecke_orbit_code': 9007199422513377, 'n': 11, 'trace_an': 86404}
  • id: 113255011
    {'hecke_orbit_code': 9007199422513377, 'n': 12, 'trace_an': 0}
  • id: 113255012
    {'hecke_orbit_code': 9007199422513377, 'n': 13, 'trace_an': 149978}
  • id: 113255013
    {'hecke_orbit_code': 9007199422513377, 'n': 14, 'trace_an': -30720}
  • id: 113255014
    {'hecke_orbit_code': 9007199422513377, 'n': 15, 'trace_an': 0}
  • id: 113255015
    {'hecke_orbit_code': 9007199422513377, 'n': 16, 'trace_an': 237824}
  • id: 113255016
    {'hecke_orbit_code': 9007199422513377, 'n': 17, 'trace_an': -207622}
  • id: 113255017
    {'hecke_orbit_code': 9007199422513377, 'n': 18, 'trace_an': 0}
  • id: 113255018
    {'hecke_orbit_code': 9007199422513377, 'n': 19, 'trace_an': 716284}
  • id: 113255019
    {'hecke_orbit_code': 9007199422513377, 'n': 20, 'trace_an': 0}
  • id: 113255020
    {'hecke_orbit_code': 9007199422513377, 'n': 21, 'trace_an': 0}
  • id: 113255021
    {'hecke_orbit_code': 9007199422513377, 'n': 22, 'trace_an': -345616}
  • id: 113255022
    {'hecke_orbit_code': 9007199422513377, 'n': 23, 'trace_an': 1369920}
  • id: 113255023
    {'hecke_orbit_code': 9007199422513377, 'n': 24, 'trace_an': 0}
  • id: 113255024
    {'hecke_orbit_code': 9007199422513377, 'n': 25, 'trace_an': 0}
  • id: 113255025
    {'hecke_orbit_code': 9007199422513377, 'n': 26, 'trace_an': -599912}
  • id: 113255026
    {'hecke_orbit_code': 9007199422513377, 'n': 27, 'trace_an': 0}
  • id: 113255027
    {'hecke_orbit_code': 9007199422513377, 'n': 28, 'trace_an': -3809280}
  • id: 113255028
    {'hecke_orbit_code': 9007199422513377, 'n': 29, 'trace_an': 3194402}
  • id: 113255029
    {'hecke_orbit_code': 9007199422513377, 'n': 30, 'trace_an': 0}
  • id: 113255030
    {'hecke_orbit_code': 9007199422513377, 'n': 31, 'trace_an': -2349000}
  • id: 113255031
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  • id: 113255971
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  • id: 113255972
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  • id: 113255973
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  • id: 113255974
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  • id: 113255975
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  • id: 113255976
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  • id: 113255977
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  • id: 113255978
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  • id: 113255979
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  • id: 113255980
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  • id: 113255981
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  • id: 113255982
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  • id: 113255983
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  • id: 113255984
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  • id: 113255985
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  • id: 113255986
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  • id: 113255987
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  • id: 113255988
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  • id: 113255989
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  • id: 113255990
    {'hecke_orbit_code': 9007199422513377, 'n': 991, 'trace_an': 2762515385192}
  • id: 113255991
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  • id: 113255992
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  • id: 113255993
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  • id: 113255994
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  • id: 113255995
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  • id: 113255996
    {'hecke_orbit_code': 9007199422513377, 'n': 997, 'trace_an': 17450239786674}
  • id: 113255997
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  • id: 113255998
    {'hecke_orbit_code': 9007199422513377, 'n': 999, 'trace_an': 0}
  • id: 113255999
    {'hecke_orbit_code': 9007199422513377, 'n': 1000, 'trace_an': 0}