Embedded newform data - 2240.4.a.ci.1.3

Formats: - HTML - YAML - JSON - 2025-01-15T09:17:44.938682

• 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': 35840, 'analytic_conductor': 132.16427841285898, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [5, 1], [7, -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': [2240, 1, [1471, 1541, 897, 1921], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 817716, 'field_disc_factorization': [[2, 2], [3, 1], [83, 1], [821, 1]], 'field_poly': [32, 12, -20, -2, 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': [[3, [552, 153, -53, -5, 1]], [11, [-276344, -52351, -2581, -13, 1]]], 'hecke_orbit': 61, 'hecke_orbit_code': 270215977709340864, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 8, 'hecke_ring_index_factorization': [[2, 3]], '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': '2240.4.a.ci', 'level': 2240, '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, 7], 'level_radical': 70, 'minimal_twist': '1120.4.a.h', 'nf_label': '4.4.817716.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(1-\\beta _{1})q^{3}-5q^{5}+7q^{7}+(5-2\\beta _{1}+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2240.4.a', 'trace_display': [0, 5, -20, 28], 'trace_hash': 2016166946037400959, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.899', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '38.686', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '568.865', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [4, 0, 5, 0, -20, 0, 28, 0, 23, 0, 13, 0, 39, 0, -25, 0, -233, 0, 8, 0, 35, 0, -32, 0, 100, 0, 191, 0, 181, 0, -90, 0, -645, 0, -140, 0, 286, 0, 451, 0, -632, 0, -356, 0, -115, 0, -201, 0, 196, 0, -341, 0, 506, 0, -65, 0, -552, 0, 1116, 0, -480, 0, 161, 0, -195, 0, -1504, 0, -856, 0, 1204, 0, -312, 0, 125, 0, 91, 0, -819, 0, -1420, 0, -2280, 0, 1165, 0, 589, 0, -1404, 0, 273, 0, 2922, 0, -40, 0, -2833, 0, -138, 0, 1510, 0, -1801, 0, -175, 0, 2786, 0, 1067, 0, 2028, 0, 238, 0, 160, 0, 2416, 0, -1631, 0, 7, 0, -1534, 0, -500, 0, -916, 0, -3932, 0, 2708, 0, 56, 0, -955, 0, -1212, 0, -2122, 0, 417, 0, -853, 0, -905, 0, 245, 0, 5884, 0, -2987, 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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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-0.35601512458476514, -0.32302451614968475, -0.41297174504010137, -0.3003286387569905, -0.33194752177044645, -0.29839267570600586, -0.2378237224087393, -0.3035120749962429, -0.1659449872140524, -0.21263026870280594, -0.14274095807517023, -0.3017339779943269, -0.3678425906449601, -0.2831172650124867, -0.35385935387212136, -0.3570221391874519, -0.24787737774848262, -0.39247902411888996, -0.22457621741160452, -0.05806366308004765, -0.32836205549701575, -0.2526028537414476, -0.28986691599325115, -0.3905559282078519, -0.09658594865295225, -0.3117568642697425], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': 1.567562534522733, 'hecke_orbit': 61, 'hecke_orbit_code': 270215977709340864, 'label': '2240.4.a.ci.1.3', 'level': 2240, 'weight': 4}
• 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': [19, 17, 16, 20, 17, 19, 20, 16], 'Nk2': 35840, 'analytic_conductor': 132.16427841285898, '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': [2240, 1, [1471, 1541, 897, 1921], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1128, 'dim': 144, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 11], 'hecke_orbit_code': 67111104, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5], 'label': '2240.4.a', 'level': 2240, '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, 7], 'level_radical': 70, 'mf_dim': 1176, 'mf_new_dim': 144, 'num_forms': 68, 'plus_dim': 78, 'prim_orbit_index': 1, 'relative_dim': 144, 'sturm_bound': 1536, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [144, 0, 0, 0, 0, 0, 0, 0, 1296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3600, 0, 0, 0, -400, 0, 0, 0, -928, 0, 0, 0, -16, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 7056, 0, 0, 0, 752, 0, 0, 0, 1376, 0, 0, 0, -1824, 0, 0, 0, 0, 0, 0, 0, -1056, 0, 0, 0, 0, 0, 0, 0, 1904, 0, 0, 0, 15344, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, -8544, 0, 0, 0, 0, 0, 0, 0, -6240, 0, 0, 0, 0, 0, 0, 0, 6224, 0, 0, 0, 10240, 0, 0, 0, -1632, 0, 0, 0, 20144, 0, 0, 0, 0, 0, 0, 0, 4000, 0, 0, 0, 0, 0, 0, 0, 4416, 0, 0, 0, 17712, 0, 0, 0, 0, 0, 0, 0, 10784, 0, 0, 0, 12288, 0, 0, 0, 0, 0, 0, 0, -1120, 0, 0, 0, 3120, 0, 0, 0, 24336, 0, 0, 0, 30720, 0, 0, 0, -608, 0, 0, 0, 23616, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, -4192, 0, 0, 0, 16976, 0, 0, 0, 15200, 0, 0, 0, 0, 0, 0, 0, -3680, 0, 0, 0, 26016, 0, 0, 0, 0, 0, 0, 0, -2544, 0, 0, 0, 32400, 0, 0, 0, 14304, 0, 0, 0, -8032, 0, 0, 0, 0, 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0, 0, 0, -8848, 0, 0, 0, -83360, 0, 0, 0, -133648, 0, 0, 0, 63520, 0, 0, 0, -66000, 0, 0, 0, -61440, 0, 0, 0, 27744, 0, 0, 0, 0, 0, 0, 0, -122272, 0, 0, 0, 0, 0, 0, 0, -98880, 0, 0, 0, 42368, 0, 0, 0, -232672, 0, 0, 0, -82304, 0, 0, 0, 0, 0, 0, 0, -248736, 0, 0, 0, 30144, 0, 0, 0, 130016, 0, 0, 0, 481072, 0, 0, 0, -23200, 0, 0, 0, -195744, 0, 0, 0, 0, 0, 0, 0, -89184, 0, 0, 0, 82736, 0, 0, 0, -10560, 0, 0, 0, -183136, 0, 0, 0, -424800, 0, 0, 0, -223520, 0, 0, 0, 127680, 0, 0, 0, -104640, 0, 0, 0, -227184, 0, 0, 0, -160064, 0, 0, 0, -68496, 0, 0, 0, 78816, 0, 0, 0, 0, 0, 0, 0, -56000, 0, 0, 0, -45024, 0, 0, 0, -368448, 0, 0, 0, -102720, 0, 0, 0, 0, 0, 0, 0, -61408, 0, 0, 0, 36000, 0, 0, 0, 0, 0, 0, 0, -73312, 0, 0, 0, -400, 0, 0, 0, -175360, 0, 0, 0, 160032, 0, 0, 0, -164800, 0, 0, 0, 69312, 0, 0, 0, 0, 0, 0, 0, 84128, 0, 0, 0, -230080, 0, 0, 0, -348384, 0, 0, 0, 175440, 0, 0, 0, 83040, 0, 0, 0, -184320, 0, 0, 0, 0, 0, 0, 0, -25408, 0, 0, 0, 110304, 0, 0, 0, 113280, 0, 0, 0, -64640, 0, 0, 0, -283744, 0, 0, 0, -461184, 0, 0, 0], 'weight': 4, '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: 49101722
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 270215977709340864, 'source_is_minimal': False, 'source_label': '2240.4.a.ci.1.3', 'source_level': 2240, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 270215977709340864, 'target_is_minimal': False, 'target_label': '2240.4.a.ci.1.3', 'target_level': 2240, 'twist_class_label': '1120.4.a.h.1.2', 'twist_class_level': 1120, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 49101723
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 270215977709340864, 'source_is_minimal': False, 'source_label': '2240.4.a.ci.1.3', 'source_level': 2240, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 247697979572488384, 'target_is_minimal': False, 'target_label': '2240.4.a.cd.1.2', 'target_level': 2240, 'twist_class_label': '1120.4.a.h.1.2', 'twist_class_level': 1120, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 49101724
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 270215977709340864, 'source_is_minimal': False, 'source_label': '2240.4.a.ci.1.3', 'source_level': 2240, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 54043195595555936, 'target_is_minimal': True, 'target_label': '1120.4.a.m.1.3', 'target_level': 1120, 'twist_class_label': '1120.4.a.h.1.2', 'twist_class_level': 1120, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 49101725
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 270215977709340864, 'source_is_minimal': False, 'source_label': '2240.4.a.ci.1.3', 'source_level': 2240, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525197458703456, 'target_is_minimal': True, 'target_label': '1120.4.a.h.1.2', 'target_level': 1120, 'twist_class_label': '1120.4.a.h.1.2', 'twist_class_level': 1120, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2519925
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 270215977709340864, 'p': 2}
  • id: 2519926
    {'charpoly_factorization': [[[552, 153, -53, -5, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 3}
  • id: 2519927
    {'charpoly_factorization': [[[5, 1], 4]], 'hecke_orbit_code': 270215977709340864, 'p': 5}
  • id: 2519928
    {'charpoly_factorization': [[[-7, 1], 4]], 'hecke_orbit_code': 270215977709340864, 'p': 7}
  • id: 2519929
    {'charpoly_factorization': [[[-276344, -52351, -2581, -13, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 11}
  • id: 2519930
    {'charpoly_factorization': [[[518, 835, -715, -39, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 13}
  • id: 2519931
    {'charpoly_factorization': [[[-2281554, 329139, 16781, 233, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 17}
  • id: 2519932
    {'charpoly_factorization': [[[95547904, 521440, -23968, -8, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 19}
  • id: 2519933
    {'charpoly_factorization': [[[520257280, -1006624, -47520, 32, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 23}
  • id: 2519934
    {'charpoly_factorization': [[[494912850, 5660937, -44839, -181, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 29}
  • id: 2519935
    {'charpoly_factorization': [[[2903289600, -7386984, -124724, 90, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 31}
  • id: 2519936
    {'charpoly_factorization': [[[-586574912, 22359296, -97960, -286, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 37}
  • id: 2519937
    {'charpoly_factorization': [[[-49647280, -4426752, 84856, 632, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 41}
  • id: 2519938
    {'charpoly_factorization': [[[197647872, 3659808, -103312, 356, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 43}
  • id: 2519939
    {'charpoly_factorization': [[[47353600344, -53543925, -444173, 201, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 47}
  • id: 2519940
    {'charpoly_factorization': [[[3522226176, 65989632, -173792, -506, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 53}
  • id: 2519941
    {'charpoly_factorization': [[[-51512924160, 235498176, 62256, -1116, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 59}
  • id: 2519942
    {'charpoly_factorization': [[[28208372240, -142599584, -388408, 480, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 61}
  • id: 2519943
    {'charpoly_factorization': [[[1277919232, 130173952, 757248, 1504, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 67}
  • id: 2519944
    {'charpoly_factorization': [[[-70082896896, 459215424, -284176, -1204, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 71}
  • id: 2519945
    {'charpoly_factorization': [[[94732412432, -422829088, -1297384, 312, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 73}
  • id: 2519946
    {'charpoly_factorization': [[[-10809740848, -57443503, 88883, 819, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 79}
  • id: 2519947
    {'charpoly_factorization': [[[-128385939456, -105268992, 1188928, 2280, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 83}
  • id: 2519948
    {'charpoly_factorization': [[[-58993083024, -290194896, 152656, 1404, 1], 1]], 'hecke_orbit_code': 270215977709340864, 'p': 89}
  • id: 2519949
    {'charpoly_factorization': [[[83047063598, 881085147, 2579677, 2833, 1], 1]], 'hecke_orbit_code': 270215977709340864, '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': 61, 'label': '2240.4.a.ci', 'level': 2240, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 72123103
    {'hecke_orbit_code': 270215977709340864, 'n': 1, 'trace_an': 4}
  • id: 72123104
    {'hecke_orbit_code': 270215977709340864, 'n': 2, 'trace_an': 0}
  • id: 72123105
    {'hecke_orbit_code': 270215977709340864, 'n': 3, 'trace_an': 5}
  • id: 72123106
    {'hecke_orbit_code': 270215977709340864, 'n': 4, 'trace_an': 0}
  • id: 72123107
    {'hecke_orbit_code': 270215977709340864, 'n': 5, 'trace_an': -20}
  • id: 72123108
    {'hecke_orbit_code': 270215977709340864, 'n': 6, 'trace_an': 0}
  • id: 72123109
    {'hecke_orbit_code': 270215977709340864, 'n': 7, 'trace_an': 28}
  • id: 72123110
    {'hecke_orbit_code': 270215977709340864, 'n': 8, 'trace_an': 0}
  • id: 72123111
    {'hecke_orbit_code': 270215977709340864, 'n': 9, 'trace_an': 23}
  • id: 72123112
    {'hecke_orbit_code': 270215977709340864, 'n': 10, 'trace_an': 0}
  • id: 72123113
    {'hecke_orbit_code': 270215977709340864, 'n': 11, 'trace_an': 13}
  • id: 72123114
    {'hecke_orbit_code': 270215977709340864, 'n': 12, 'trace_an': 0}
  • id: 72123115
    {'hecke_orbit_code': 270215977709340864, 'n': 13, 'trace_an': 39}
  • id: 72123116
    {'hecke_orbit_code': 270215977709340864, 'n': 14, 'trace_an': 0}
  • id: 72123117
    {'hecke_orbit_code': 270215977709340864, 'n': 15, 'trace_an': -25}
  • id: 72123118
    {'hecke_orbit_code': 270215977709340864, 'n': 16, 'trace_an': 0}
  • id: 72123119
    {'hecke_orbit_code': 270215977709340864, 'n': 17, 'trace_an': -233}
  • id: 72123120
    {'hecke_orbit_code': 270215977709340864, 'n': 18, 'trace_an': 0}
  • id: 72123121
    {'hecke_orbit_code': 270215977709340864, 'n': 19, 'trace_an': 8}
  • id: 72123122
    {'hecke_orbit_code': 270215977709340864, 'n': 20, 'trace_an': 0}
  • id: 72123123
    {'hecke_orbit_code': 270215977709340864, 'n': 21, 'trace_an': 35}
  • id: 72123124
    {'hecke_orbit_code': 270215977709340864, 'n': 22, 'trace_an': 0}
  • id: 72123125
    {'hecke_orbit_code': 270215977709340864, 'n': 23, 'trace_an': -32}
  • id: 72123126
    {'hecke_orbit_code': 270215977709340864, 'n': 24, 'trace_an': 0}
  • id: 72123127
    {'hecke_orbit_code': 270215977709340864, 'n': 25, 'trace_an': 100}
  • id: 72123128
    {'hecke_orbit_code': 270215977709340864, 'n': 26, 'trace_an': 0}
  • id: 72123129
    {'hecke_orbit_code': 270215977709340864, 'n': 27, 'trace_an': 191}
  • id: 72123130
    {'hecke_orbit_code': 270215977709340864, 'n': 28, 'trace_an': 0}
  • id: 72123131
    {'hecke_orbit_code': 270215977709340864, 'n': 29, 'trace_an': 181}
  • id: 72123132
    {'hecke_orbit_code': 270215977709340864, 'n': 30, 'trace_an': 0}
  • id: 72123133
    {'hecke_orbit_code': 270215977709340864, 'n': 31, 'trace_an': -90}
  • id: 72123134
    {'hecke_orbit_code': 270215977709340864, 'n': 32, 'trace_an': 0}
  • id: 72123135
    {'hecke_orbit_code': 270215977709340864, 'n': 33, 'trace_an': -645}
  • id: 72123136
    {'hecke_orbit_code': 270215977709340864, 'n': 34, 'trace_an': 0}
  • id: 72123137
    {'hecke_orbit_code': 270215977709340864, 'n': 35, 'trace_an': -140}
  • id: 72123138
    {'hecke_orbit_code': 270215977709340864, 'n': 36, 'trace_an': 0}
  • id: 72123139
    {'hecke_orbit_code': 270215977709340864, 'n': 37, 'trace_an': 286}
  • id: 72123140
    {'hecke_orbit_code': 270215977709340864, 'n': 38, 'trace_an': 0}
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  • id: 72123331
    {'hecke_orbit_code': 270215977709340864, 'n': 811, 'trace_an': 17566}
  • id: 72123332
    {'hecke_orbit_code': 270215977709340864, 'n': 821, 'trace_an': 69791}
  • id: 72123333
    {'hecke_orbit_code': 270215977709340864, 'n': 823, 'trace_an': -32954}
  • id: 72123334
    {'hecke_orbit_code': 270215977709340864, 'n': 827, 'trace_an': -44070}
  • id: 72123335
    {'hecke_orbit_code': 270215977709340864, 'n': 829, 'trace_an': -20644}
  • id: 72123336
    {'hecke_orbit_code': 270215977709340864, 'n': 839, 'trace_an': 57856}
  • id: 72123337
    {'hecke_orbit_code': 270215977709340864, 'n': 841, 'trace_an': 24883}
  • id: 72123338
    {'hecke_orbit_code': 270215977709340864, 'n': 853, 'trace_an': 37004}
  • id: 72123339
    {'hecke_orbit_code': 270215977709340864, 'n': 857, 'trace_an': -24920}
  • id: 72123340
    {'hecke_orbit_code': 270215977709340864, 'n': 859, 'trace_an': -6124}
  • id: 72123341
    {'hecke_orbit_code': 270215977709340864, 'n': 863, 'trace_an': 112290}
  • id: 72123342
    {'hecke_orbit_code': 270215977709340864, 'n': 877, 'trace_an': 15198}
  • id: 72123343
    {'hecke_orbit_code': 270215977709340864, 'n': 881, 'trace_an': -13030}
  • id: 72123344
    {'hecke_orbit_code': 270215977709340864, 'n': 883, 'trace_an': -59370}
  • id: 72123345
    {'hecke_orbit_code': 270215977709340864, 'n': 887, 'trace_an': -58064}
  • id: 72123346
    {'hecke_orbit_code': 270215977709340864, 'n': 907, 'trace_an': -38000}
  • id: 72123347
    {'hecke_orbit_code': 270215977709340864, 'n': 911, 'trace_an': 67880}
  • id: 72123348
    {'hecke_orbit_code': 270215977709340864, 'n': 919, 'trace_an': 58161}
  • id: 72123349
    {'hecke_orbit_code': 270215977709340864, 'n': 929, 'trace_an': -108418}
  • id: 72123350
    {'hecke_orbit_code': 270215977709340864, 'n': 937, 'trace_an': -70261}
  • id: 72123351
    {'hecke_orbit_code': 270215977709340864, 'n': 941, 'trace_an': -28488}
  • id: 72123352
    {'hecke_orbit_code': 270215977709340864, 'n': 947, 'trace_an': 28414}
  • id: 72123353
    {'hecke_orbit_code': 270215977709340864, 'n': 953, 'trace_an': -57516}
  • id: 72123354
    {'hecke_orbit_code': 270215977709340864, 'n': 961, 'trace_an': 138384}
  • id: 72123355
    {'hecke_orbit_code': 270215977709340864, 'n': 967, 'trace_an': -6446}
  • id: 72123356
    {'hecke_orbit_code': 270215977709340864, 'n': 971, 'trace_an': 45478}
  • id: 72123357
    {'hecke_orbit_code': 270215977709340864, 'n': 977, 'trace_an': 38858}
  • id: 72123358
    {'hecke_orbit_code': 270215977709340864, 'n': 983, 'trace_an': -56275}
  • id: 72123359
    {'hecke_orbit_code': 270215977709340864, 'n': 991, 'trace_an': -29696}
  • id: 72123360
    {'hecke_orbit_code': 270215977709340864, 'n': 997, 'trace_an': 9333}