Embedded newform data - 1856.4.a.z.1.2

Formats: - HTML - YAML - JSON - 2022-06-25T10:51:09.976867

• 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_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': 29696, 'analytic_conductor': 109.50754497065458, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [29, 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': [1856, 1, [639, 581, 321], [1, 1, 1]], 'cm_discs': [], 'conrey_indexes': [1], 'dim': 5, 'field_disc': 6001835520, 'field_disc_factorization': [[2, 9], [3, 1], [5, 1], [19, 1], [41131, 1]], 'field_poly': [-198, 94, 74, -34, -1, 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, [-1340, 1525, -128, -74, 4, 1]], [5, [10494, 25545, -2304, -338, 10, 1]], [7, [-266752, 15680, 7872, -288, -32, 1]]], 'hecke_orbit': 26, 'hecke_orbit_code': 112589990751373120, 'hecke_ring_generator_nbound': 7, '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_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1856.4.a.z', 'level': 1856, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 29], 'level_radical': 58, 'minimal_twist': '232.4.a.d', 'prim_orbit_index': 1, 'qexp_display': 'q+(-1+\\beta _{1})q^{3}+(-2-\\beta _{3})q^{5}+(6+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 5, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1856.4.a', 'trace_display': [0, -4, -10, 32], 'trace_hash': 980660822211692270, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.784', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '64.360', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1458.679', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [5, 0, -4, 0, -10, 0, 32, 0, 29, 0, -36, 0, -26, 0, 88, 0, 82, 0, -156, 0, -72, 0, 336, 0, 151, 0, -352, 0, -145, 0, 432, 0, 108, 0, -600, 0, 18, 0, 688, 0, 82, 0, -340, 0, 146, 0, 680, 0, -115, 0, -608, 0, 102, 0, 736, 0, -576, 0, -924, 0, 618, 0, 584, 0, -704, 0, -44, 0, 1056, 0, 1032, 0, -1078, 0, 468, 0, 888, 0, 200, 0, -1843, 0, -452, 0, 1700, 0, 116, 0, -1790, 0, 1128, 0, 1884, 0, 1024, 0, -2518, 0, 1500, 0, 1810, 0, 136, 0, -2760, 0, 2164, 0, 1486, 0, -296, 0, -246, 0, 2280, 0, -230, 0, 608, 0, -2667, 0, 2784, 0, -1728, 0, -1312, 0, -660, 0, 1748, 0, -848, 0, -152, 0, 1162, 0, 4084, 0, -2292, 0, 2648, 0, 290, 0, 4540, 0, -2402, 0, 1920, 0, 3370, 0, 1784, 0, -286, 0, 336, 0, 6960, 0, 3852, 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0, -535034, 0, -622608, 0, -287842, 0, 563024, 0, 358048, 0, 428412, 0, 428496, 0, -1138680, 0, 430314, 0, -62444, 0, -36152, 0, -209936, 0, -55892, 0, -422500, 0, -8100, 0, -9208, 0, -759544, 0, -3944, 0, 328634, 0, 1416, 0, 267524, 0, 5248, 0, -441054, 0, -77064, 0], 'weight': 4, '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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-0.1381883314410238, -0.20169000530993575, -0.2980267851364277, -0.06013571232720429, -0.24905536589111588, -0.15581035952507652, -0.30984719810659983, -0.3675057208743762, -0.24729498113193316, -0.2313028648592869, -0.3263673847107522, -0.2506233963907714, -0.13174372243649857, -0.27963988608912216, -0.3471617719215514, -0.07635446385715182, -0.11075886574552456, -0.3769677741127581, -0.12932393138783385, -0.3528401129226434, -0.3037528755113737, -0.28890998315788957, -0.2762587852814113, -0.45838494729504337, -0.2142860693787689, -0.39633610843808253], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.6985889101576244, 'hecke_orbit': 26, 'hecke_orbit_code': 112589990751373120, 'label': '1856.4.a.z.1.2', 'level': 1856, 'weight': 4}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_indexes	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], [29, -1]], 45, 11], [[[2, 1], [29, -1]], 39, 9], [[[2, -1], [29, 1]], 39, 9], [[[2, 1], [29, 1]], 45, 9]], 'Nk2': 29696, 'analytic_conductor': 109.50754497065458, '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': [1856, 1, [639, 581, 321], [1, 1, 1]], 'conrey_indexes': [1], 'cusp_dim': 708, 'dim': 168, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 7], 'hecke_orbit_code': 67110720, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 5, 5, 5, 5, 6, 6, 8, 9, 9, 10, 10, 12, 12, 12], 'label': '1856.4.a', 'level': 1856, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 29], 'level_radical': 58, 'mf_dim': 732, 'mf_new_dim': 168, 'num_forms': 38, 'plus_dim': 90, 'prim_orbit_index': 1, 'relative_dim': 168, 'sturm_bound': 960, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [168, 0, 0, 0, 0, 0, 0, 0, 1512, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 4200, 0, 0, 0, 0, 0, 0, 0, 464, 0, 0, 0, 1008, 0, 0, 0, 80, 0, 0, 0, -1968, 0, 0, 0, 8232, 0, 0, 0, -816, 0, 0, 0, -688, 0, 0, 0, 3984, 0, 0, 0, 0, 0, 0, 0, 2544, 0, 0, 0, 0, 0, 0, 0, -3504, 0, 0, 0, 11768, 0, 0, 0, -2832, 0, 0, 0, 0, 0, 0, 0, 8640, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -9504, 0, 0, 0, -3376, 0, 0, 0, -5184, 0, 0, 0, 20328, 0, 0, 0, 18768, 0, 0, 0, -2000, 0, 0, 0, 8160, 0, 0, 0, -1616, 0, 0, 0, -5856, 0, 0, 0, 0, 0, 0, 0, 2352, 0, 0, 0, -6144, 0, 0, 0, 20304, 0, 0, 0, 5024, 0, 0, 0, 23568, 0, 0, 0, 32648, 0, 0, 0, -9216, 0, 0, 0, 304, 0, 0, 0, -3552, 0, 0, 0, 2720, 0, 0, 0, 23440, 0, 0, 0, -6048, 0, 0, 0, 22000, 0, 0, 0, -12880, 0, 0, 0, -5136, 0, 0, 0, 2256, 0, 0, 0, 31264, 0, 0, 0, -3744, 0, 0, 0, 12688, 0, 0, 0, 51944, 0, 0, 0, 14368, 0, 0, 0, 12608, 0, 0, 0, 8320, 0, 0, 0, -19264, 0, 0, 0, 18496, 0, 0, 0, -336, 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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: 48593176
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 112589990751373120, 'source_is_minimal': False, 'source_label': '1856.4.a.z.1.2', 'source_level': 1856, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 2, 'target_hecke_orbit_code': 112589990751373120, 'target_is_minimal': False, 'target_label': '1856.4.a.z.1.2', 'target_level': 1856, 'twist_class_label': '232.4.a.d.1.4', 'twist_class_level': 232, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48593177
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 112589990751373120, 'source_is_minimal': False, 'source_label': '1856.4.a.z.1.2', 'source_level': 1856, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 4, 'target_hecke_orbit_code': 117093590378743616, 'target_is_minimal': False, 'target_label': '1856.4.a.ba.1.4', 'target_level': 1856, 'twist_class_label': '232.4.a.d.1.4', 'twist_class_level': 232, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48593178
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 112589990751373120, 'source_is_minimal': False, 'source_label': '1856.4.a.z.1.2', 'source_level': 1856, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 2, 'target_hecke_orbit_code': 54043195595555280, 'target_is_minimal': False, 'target_label': '464.4.a.m.1.2', 'target_level': 464, 'twist_class_label': '232.4.a.d.1.4', 'twist_class_level': 232, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48593179
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 112589990751373120, 'source_is_minimal': False, 'source_label': '1856.4.a.z.1.2', 'source_level': 1856, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 4, 'target_hecke_orbit_code': 13510798949220584, 'target_is_minimal': True, 'target_label': '232.4.a.d.1.4', 'target_level': 232, 'twist_class_label': '232.4.a.d.1.4', 'twist_class_level': 232, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48593180
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 112589990751373120, 'source_is_minimal': False, 'source_label': '1856.4.a.z.1.2', 'source_level': 1856, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998203963432, 'target_is_minimal': False, 'target_label': '2088.4.a.f.1.1', 'target_level': 2088, 'twist_class_label': '232.4.a.d.1.4', 'twist_class_level': 232, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2258475
    {'charpoly_factorization': [[[0, 1], 5]], 'hecke_orbit_code': 112589990751373120, 'p': 2}
  • id: 2258476
    {'charpoly_factorization': [[[-1340, 1525, -128, -74, 4, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 3}
  • id: 2258477
    {'charpoly_factorization': [[[10494, 25545, -2304, -338, 10, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 5}
  • id: 2258478
    {'charpoly_factorization': [[[-266752, 15680, 7872, -288, -32, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 7}
  • id: 2258479
    {'charpoly_factorization': [[[-1741860, 479805, -14632, -1346, 36, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 11}
  • id: 2258480
    {'charpoly_factorization': [[[-105404410, 7765265, -27992, -5146, 26, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 13}
  • id: 2258481
    {'charpoly_factorization': [[[-49184, 884112, 31536, -2776, -82, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 17}
  • id: 2258482
    {'charpoly_factorization': [[[1820736, 545424, -132928, 4216, 156, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 19}
  • id: 2258483
    {'charpoly_factorization': [[[7489438848, -593692848, 6719904, 7752, -336, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 23}
  • id: 2258484
    {'charpoly_factorization': [[[29, 1], 5]], 'hecke_orbit_code': 112589990751373120, 'p': 29}
  • id: 2258485
    {'charpoly_factorization': [[[445071048, -66318003, -1047184, 52974, -432, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 31}
  • id: 2258486
    {'charpoly_factorization': [[[15294686720, 766764800, 5642176, -88320, -18, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 37}
  • id: 2258487
    {'charpoly_factorization': [[[-731491061376, 7192017088, 27465152, -209808, -82, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 41}
  • id: 2258488
    {'charpoly_factorization': [[[571309913052, 13752567133, -94461272, -318978, 340, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 43}
  • id: 2258489
    {'charpoly_factorization': [[[2559413417896, -41186712827, 184326376, -134522, -680, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 47}
  • id: 2258490
    {'charpoly_factorization': [[[-103910584482, 1592947377, 8742816, -89946, -102, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 53}
  • id: 2258491
    {'charpoly_factorization': [[[-16799541984192, -151412375344, -422020480, -160792, 924, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 59}
  • id: 2258492
    {'charpoly_factorization': [[[-2366067286944, -10063531632, 209265904, -384344, -618, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 61}
  • id: 2258493
    {'charpoly_factorization': [[[-29804817076224, 162961185792, 28228864, -906112, 44, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 67}
  • id: 2258494
    {'charpoly_factorization': [[[-50004302698368, -2073354800, 494017344, -323720, -1032, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 71}
  • id: 2258495
    {'charpoly_factorization': [[[-4755790305792, -228499602688, -782125248, -401024, 1078, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 73}
  • id: 2258496
    {'charpoly_factorization': [[[-13404287016, 7054773, 3816424, -14282, -200, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 79}
  • id: 2258497
    {'charpoly_factorization': [[[181825403631808, 727532570576, -602676288, -1714392, 452, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 83}
  • id: 2258498
    {'charpoly_factorization': [[[-79946879886976, -1172637402944, -2325376192, -443984, 1790, 1], 1]], 'hecke_orbit_code': 112589990751373120, 'p': 89}
  • id: 2258499
    {'charpoly_factorization': [[[-41073987679360, -189474671680, 285276608, 1950352, 2518, 1], 1]], 'hecke_orbit_code': 112589990751373120, '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': 26, 'label': '1856.4.a.z', 'level': 1856, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 260011000
    {'hecke_orbit_code': 112589990751373120, 'n': 1, 'trace_an': 5}
  • id: 260011001
    {'hecke_orbit_code': 112589990751373120, 'n': 2, 'trace_an': 0}
  • id: 260011002
    {'hecke_orbit_code': 112589990751373120, 'n': 3, 'trace_an': -4}
  • id: 260011003
    {'hecke_orbit_code': 112589990751373120, 'n': 4, 'trace_an': 0}
  • id: 260011004
    {'hecke_orbit_code': 112589990751373120, 'n': 5, 'trace_an': -10}
  • id: 260011005
    {'hecke_orbit_code': 112589990751373120, 'n': 6, 'trace_an': 0}
  • id: 260011006
    {'hecke_orbit_code': 112589990751373120, 'n': 7, 'trace_an': 32}
  • id: 260011007
    {'hecke_orbit_code': 112589990751373120, 'n': 8, 'trace_an': 0}
  • id: 260011008
    {'hecke_orbit_code': 112589990751373120, 'n': 9, 'trace_an': 29}
  • id: 260011009
    {'hecke_orbit_code': 112589990751373120, 'n': 10, 'trace_an': 0}
  • id: 260011010
    {'hecke_orbit_code': 112589990751373120, 'n': 11, 'trace_an': -36}
  • id: 260011011
    {'hecke_orbit_code': 112589990751373120, 'n': 12, 'trace_an': 0}
  • id: 260011012
    {'hecke_orbit_code': 112589990751373120, 'n': 13, 'trace_an': -26}
  • id: 260011013
    {'hecke_orbit_code': 112589990751373120, 'n': 14, 'trace_an': 0}
  • id: 260011014
    {'hecke_orbit_code': 112589990751373120, 'n': 15, 'trace_an': 88}
  • id: 260011015
    {'hecke_orbit_code': 112589990751373120, 'n': 16, 'trace_an': 0}
  • id: 260011016
    {'hecke_orbit_code': 112589990751373120, 'n': 17, 'trace_an': 82}
  • id: 260011017
    {'hecke_orbit_code': 112589990751373120, 'n': 18, 'trace_an': 0}
  • id: 260011018
    {'hecke_orbit_code': 112589990751373120, 'n': 19, 'trace_an': -156}
  • id: 260011019
    {'hecke_orbit_code': 112589990751373120, 'n': 20, 'trace_an': 0}
  • id: 260011020
    {'hecke_orbit_code': 112589990751373120, 'n': 21, 'trace_an': -72}
  • id: 260011021
    {'hecke_orbit_code': 112589990751373120, 'n': 22, 'trace_an': 0}
  • id: 260011022
    {'hecke_orbit_code': 112589990751373120, 'n': 23, 'trace_an': 336}
  • id: 260011023
    {'hecke_orbit_code': 112589990751373120, 'n': 24, 'trace_an': 0}
  • id: 260011024
    {'hecke_orbit_code': 112589990751373120, 'n': 25, 'trace_an': 151}
  • id: 260011025
    {'hecke_orbit_code': 112589990751373120, 'n': 26, 'trace_an': 0}
  • id: 260011026
    {'hecke_orbit_code': 112589990751373120, 'n': 27, 'trace_an': -352}
  • id: 260011027
    {'hecke_orbit_code': 112589990751373120, 'n': 28, 'trace_an': 0}
  • id: 260011028
    {'hecke_orbit_code': 112589990751373120, 'n': 29, 'trace_an': -145}
  • id: 260011029
    {'hecke_orbit_code': 112589990751373120, 'n': 30, 'trace_an': 0}
  • id: 260011030
    {'hecke_orbit_code': 112589990751373120, 'n': 31, 'trace_an': 432}
  • id: 260011031
    {'hecke_orbit_code': 112589990751373120, 'n': 32, 'trace_an': 0}
  • id: 260011032
    {'hecke_orbit_code': 112589990751373120, 'n': 33, 'trace_an': 108}
  • id: 260011033
    {'hecke_orbit_code': 112589990751373120, 'n': 34, 'trace_an': 0}
  • id: 260011034
    {'hecke_orbit_code': 112589990751373120, 'n': 35, 'trace_an': -600}
  • id: 260011035
    {'hecke_orbit_code': 112589990751373120, 'n': 36, 'trace_an': 0}
  • id: 260011036
    {'hecke_orbit_code': 112589990751373120, 'n': 37, 'trace_an': 18}
  • id: 260011037
    {'hecke_orbit_code': 112589990751373120, 'n': 38, 'trace_an': 0}
  • id: 260011038
    {'hecke_orbit_code': 112589990751373120, 'n': 39, 'trace_an': 688}
  • id: 260011039
    {'hecke_orbit_code': 112589990751373120, 'n': 40, 'trace_an': 0}
  • id: 260011040
    {'hecke_orbit_code': 112589990751373120, 'n': 41, 'trace_an': 82}
  • id: 260011041
    {'hecke_orbit_code': 112589990751373120, 'n': 42, 'trace_an': 0}
  • id: 260011042
    {'hecke_orbit_code': 112589990751373120, 'n': 43, 'trace_an': -340}
  • id: 260011043
    {'hecke_orbit_code': 112589990751373120, 'n': 44, 'trace_an': 0}
  • id: 260011044
    {'hecke_orbit_code': 112589990751373120, 'n': 45, 'trace_an': 146}
  • id: 260011045
    {'hecke_orbit_code': 112589990751373120, 'n': 46, 'trace_an': 0}
  • id: 260011046
    {'hecke_orbit_code': 112589990751373120, 'n': 47, 'trace_an': 680}
  • id: 260011047
    {'hecke_orbit_code': 112589990751373120, 'n': 48, 'trace_an': 0}
  • id: 260011048
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  • id: 260011120
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