Embedded newform data - 200.6.a.f.1.2

Formats: - HTML - YAML - JSON - 2024-04-18T08:48:24.352454

• 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': 7200, 'analytic_conductor': 32.076763962596125, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 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': [200, 1, [151, 101, 177], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 2, 'field_disc': 241, 'field_disc_factorization': [[241, 1]], 'field_poly': [-60, -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, [-225, -8, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22517998237515976, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], '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': True, 'label': '200.6.a.f', 'level': 200, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'minimal_twist': '200.6.a.e', 'nf_label': '2.2.241.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(4+\\beta )q^{3}+(-4-2\\beta )q^{7}+(14+8\\beta )q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '200.6.a', 'trace_display': [0, 8, 0, -8], 'trace_hash': 2210503114516232869, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.961', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.895', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '70.508', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [2, 0, 8, 0, 0, 0, -8, 0, 28, 0, -200, 0, -592, 0, 0, 0, 278, 0, -840, 0, -996, 0, -1952, 0, 0, 0, 2024, 0, -4680, 0, -5008, 0, -10922, 0, 0, 0, 12500, 0, -27432, 0, -5334, 0, 224, 0, 0, 0, 26072, 0, -31654, 0, -6600, 0, -46812, 0, 0, 0, 25078, 0, -81776, 0, -46932, 0, -7824, 0, 0, 0, 68808, 0, -55044, 0, 7448, 0, -108822, 0, 0, 0, 21044, 0, -108104, 0, -93662, 0, 27224, 0, 0, 0, 52616, 0, 70990, 0, 52496, 0, -190660, 0, 0, 0, -96852, 0, -83776, 0, -151068, 0, 200552, 0, 0, 0, 114520, 0, 141428, 0, 283288, 0, -64254, 0, 0, 0, -208800, 0, 14312, 0, -89540, 0, 429816, 0, 0, 0, -109792, 0, 519528, 0, 267760, 0, -53516, 0, 0, 0, -296938, 0, 245416, 0, 104288, 0, 585544, 0, 0, 0, -118904, 0, 537768, 0, 245496, 0, -57804, 0, 0, 0, -245764, 0, -13728, 0, 102280, 0, 772552, 0, 0, 0, -333160, 0, 735974, 0, 215744, 0, -348192, 0, 0, 0, -527616, 0, 596056, 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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[-1.6121756823340023, 0.0], [0.0, 0.0], [-0.3149399982210849, 0.0], [0.0, 0.0], [1.7026156948754394, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.29146856626315615, 0.0], [0.0, 0.0], [-1.3652588999014474, 0.0], [0.0, 0.0], [-0.4223115245200589, 0.0], [0.0, 0.0], [-1.777859102169453, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.5856423337971128, 0.0], [0.0, 0.0], [-0.8928588799089442, 0.0], [0.0, 0.0]], 'angles': [None, -0.14229687356459522, None, -0.2715796364906539, -0.33904844698783626, -0.43017373707243484, -0.2573077779858048, -0.2248152728139929, -0.33190181425652165, -0.2507453999383999, -0.3843814823343213, -0.09518683263990008, -0.15710475413074093, -0.1280425445599587, -0.1791867018744951, -0.3217379658230721, -0.42304675959984633, -0.3141035072190398, -0.15989374215335653, -0.25302828515327785, -0.34950015219389985, -0.25935445913381006, -0.3097383282863909, -0.1127565343076035, -0.34839267523878625, -0.4568677535771696, -0.18860297563371378, -0.15147323825631026, 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-0.28386136516526617, -0.10430571924260845], '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': 8.262087348130011, 'hecke_orbit': 6, 'hecke_orbit_code': 22517998237515976, 'label': '200.6.a.f.1.2', 'level': 200, 'weight': 6}
• 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], [5, 1]], 5, 4], [[[2, -1], [5, -1]], 6, 2], [[[2, 1], [5, -1]], 7, 2], [[[2, -1], [5, 1]], 6, 3]], 'ALdims': [5, 7, 6, 6], 'Nk2': 7200, 'analytic_conductor': 32.076763962596125, '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': [200, 1, [151, 101, 177], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 138, 'dim': 24, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 100663496, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 2, 3, 3, 4, 4], 'label': '200.6.a', 'level': 200, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'mf_dim': 162, 'mf_new_dim': 24, 'num_forms': 11, 'plus_dim': 11, 'prim_orbit_index': 1, 'relative_dim': 24, 'sturm_bound': 180, 'trace_bound': 3, 'trace_display': [0, 20, 0, -100], 'traces': [24, 0, 20, 0, 0, 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: 45072772
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22517998237515976, 'source_is_minimal': True, 'source_label': '200.6.a.f.1.2', 'source_level': 200, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22517998237515976, 'target_is_minimal': True, 'target_label': '200.6.a.f.1.2', 'target_level': 200, 'twist_class_label': '200.6.a.e.1.1', 'twist_class_level': 200, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 45072773
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22517998237515976, 'source_is_minimal': True, 'source_label': '200.6.a.f.1.2', 'source_level': 200, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 76561193765962128, 'target_is_minimal': False, 'target_label': '400.6.a.r.1.1', 'target_level': 400, 'twist_class_label': '200.6.a.e.1.1', 'twist_class_level': 200, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 45072774
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22517998237515976, 'source_is_minimal': True, 'source_label': '200.6.a.f.1.2', 'source_level': 200, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518135676469448, 'target_is_minimal': False, 'target_label': '200.6.c.f.49.1', 'target_level': 200, 'twist_class_label': '200.6.a.e.1.1', 'twist_class_level': 200, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 45072775
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22517998237515976, 'source_is_minimal': True, 'source_label': '200.6.a.f.1.2', 'source_level': 200, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 22518135676469448, 'target_is_minimal': False, 'target_label': '200.6.c.f.49.4', 'target_level': 200, 'twist_class_label': '200.6.a.e.1.1', 'twist_class_level': 200, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 45072776
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22517998237515976, 'source_is_minimal': True, 'source_label': '200.6.a.f.1.2', 'source_level': 200, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398610145480, 'target_is_minimal': True, 'target_label': '200.6.a.e.1.1', 'target_level': 200, 'twist_class_label': '200.6.a.e.1.1', 'twist_class_level': 200, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 6}
  • id: 45072777
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22517998237515976, 'source_is_minimal': True, 'source_label': '200.6.a.f.1.2', 'source_level': 200, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 63050532322804112, 'target_is_minimal': False, 'target_label': '400.6.c.o.49.1', 'target_level': 400, 'twist_class_label': '200.6.a.e.1.1', 'twist_class_level': 200, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 45072778
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22517998237515976, 'source_is_minimal': True, 'source_label': '200.6.a.f.1.2', 'source_level': 200, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 63050532322804112, 'target_is_minimal': False, 'target_label': '400.6.c.o.49.4', 'target_level': 400, 'twist_class_label': '200.6.a.e.1.1', 'twist_class_level': 200, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 6}
  • id: 45072779
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22517998237515976, 'source_is_minimal': True, 'source_label': '200.6.a.f.1.2', 'source_level': 200, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 90071992648073616, 'target_is_minimal': False, 'target_label': '400.6.a.u.1.2', 'target_level': 400, 'twist_class_label': '200.6.a.e.1.1', 'twist_class_level': 200, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 501575
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 22517998237515976, 'p': 2}
  • id: 501576
    {'charpoly_factorization': [[[-225, -8, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 3}
  • id: 501577
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 22517998237515976, 'p': 5}
  • id: 501578
    {'charpoly_factorization': [[[-948, 8, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 7}
  • id: 501579
    {'charpoly_factorization': [[[-96281, 200, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 11}
  • id: 501580
    {'charpoly_factorization': [[[-564048, 592, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 13}
  • id: 501581
    {'charpoly_factorization': [[[-42375, -278, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 17}
  • id: 501582
    {'charpoly_factorization': [[[-662521, 840, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 19}
  • id: 501583
    {'charpoly_factorization': [[[-1361988, 1952, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 23}
  • id: 501584
    {'charpoly_factorization': [[[196736, 4680, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 29}
  • id: 501585
    {'charpoly_factorization': [[[-23931140, 5008, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 31}
  • id: 501586
    {'charpoly_factorization': [[[-17393196, -12500, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 37}
  • id: 501587
    {'charpoly_factorization': [[[-204026247, 5334, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 41}
  • id: 501588
    {'charpoly_factorization': [[[-279011472, -224, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 43}
  • id: 501589
    {'charpoly_factorization': [[[-13036, 1], 2]], 'hecke_orbit_code': 22517998237515976, 'p': 47}
  • id: 501590
    {'charpoly_factorization': [[[516607236, 46812, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 53}
  • id: 501591
    {'charpoly_factorization': [[[1630122048, 81776, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 59}
  • id: 501592
    {'charpoly_factorization': [[[550186580, 46932, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 61}
  • id: 501593
    {'charpoly_factorization': [[[1158491927, -68808, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 67}
  • id: 501594
    {'charpoly_factorization': [[[-14650800, -7448, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 71}
  • id: 501595
    {'charpoly_factorization': [[[2959307577, 108822, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 73}
  • id: 501596
    {'charpoly_factorization': [[[662040300, 108104, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 79}
  • id: 501597
    {'charpoly_factorization': [[[-3370254177, -27224, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 83}
  • id: 501598
    {'charpoly_factorization': [[[-4823083791, -70990, 1], 1]], 'hecke_orbit_code': 22517998237515976, 'p': 89}
  • id: 501599
    {'charpoly_factorization': [[[-1134962524, 96852, 1], 1]], 'hecke_orbit_code': 22517998237515976, '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': 6, 'label': '200.6.a.f', 'level': 200, 'portrait': 'data:image/png;base64,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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 169453000
    {'hecke_orbit_code': 22517998237515976, 'n': 1, 'trace_an': 2}
  • id: 169453001
    {'hecke_orbit_code': 22517998237515976, 'n': 2, 'trace_an': 0}
  • id: 169453002
    {'hecke_orbit_code': 22517998237515976, 'n': 3, 'trace_an': 8}
  • id: 169453003
    {'hecke_orbit_code': 22517998237515976, 'n': 4, 'trace_an': 0}
  • id: 169453004
    {'hecke_orbit_code': 22517998237515976, 'n': 5, 'trace_an': 0}
  • id: 169453005
    {'hecke_orbit_code': 22517998237515976, 'n': 6, 'trace_an': 0}
  • id: 169453006
    {'hecke_orbit_code': 22517998237515976, 'n': 7, 'trace_an': -8}
  • id: 169453007
    {'hecke_orbit_code': 22517998237515976, 'n': 8, 'trace_an': 0}
  • id: 169453008
    {'hecke_orbit_code': 22517998237515976, 'n': 9, 'trace_an': 28}
  • id: 169453009
    {'hecke_orbit_code': 22517998237515976, 'n': 10, 'trace_an': 0}
  • id: 169453010
    {'hecke_orbit_code': 22517998237515976, 'n': 11, 'trace_an': -200}
  • id: 169453011
    {'hecke_orbit_code': 22517998237515976, 'n': 12, 'trace_an': 0}
  • id: 169453012
    {'hecke_orbit_code': 22517998237515976, 'n': 13, 'trace_an': -592}
  • id: 169453013
    {'hecke_orbit_code': 22517998237515976, 'n': 14, 'trace_an': 0}
  • id: 169453014
    {'hecke_orbit_code': 22517998237515976, 'n': 15, 'trace_an': 0}
  • id: 169453015
    {'hecke_orbit_code': 22517998237515976, 'n': 16, 'trace_an': 0}
  • id: 169453016
    {'hecke_orbit_code': 22517998237515976, 'n': 17, 'trace_an': 278}
  • id: 169453017
    {'hecke_orbit_code': 22517998237515976, 'n': 18, 'trace_an': 0}
  • id: 169453018
    {'hecke_orbit_code': 22517998237515976, 'n': 19, 'trace_an': -840}
  • id: 169453019
    {'hecke_orbit_code': 22517998237515976, 'n': 20, 'trace_an': 0}
  • id: 169453020
    {'hecke_orbit_code': 22517998237515976, 'n': 21, 'trace_an': -996}
  • id: 169453021
    {'hecke_orbit_code': 22517998237515976, 'n': 22, 'trace_an': 0}
  • id: 169453022
    {'hecke_orbit_code': 22517998237515976, 'n': 23, 'trace_an': -1952}
  • id: 169453023
    {'hecke_orbit_code': 22517998237515976, 'n': 24, 'trace_an': 0}
  • id: 169453024
    {'hecke_orbit_code': 22517998237515976, 'n': 25, 'trace_an': 0}
  • id: 169453025
    {'hecke_orbit_code': 22517998237515976, 'n': 26, 'trace_an': 0}
  • id: 169453026
    {'hecke_orbit_code': 22517998237515976, 'n': 27, 'trace_an': 2024}
  • id: 169453027
    {'hecke_orbit_code': 22517998237515976, 'n': 28, 'trace_an': 0}
  • id: 169453028
    {'hecke_orbit_code': 22517998237515976, 'n': 29, 'trace_an': -4680}
  • id: 169453029
    {'hecke_orbit_code': 22517998237515976, 'n': 30, 'trace_an': 0}
  • id: 169453030
    {'hecke_orbit_code': 22517998237515976, 'n': 31, 'trace_an': -5008}
  • id: 169453031
    {'hecke_orbit_code': 22517998237515976, 'n': 32, 'trace_an': 0}
  • id: 169453032
    {'hecke_orbit_code': 22517998237515976, 'n': 33, 'trace_an': -10922}
  • id: 169453033
    {'hecke_orbit_code': 22517998237515976, 'n': 34, 'trace_an': 0}
  • id: 169453034
    {'hecke_orbit_code': 22517998237515976, 'n': 35, 'trace_an': 0}
  • id: 169453035
    {'hecke_orbit_code': 22517998237515976, 'n': 36, 'trace_an': 0}
  • id: 169453036
    {'hecke_orbit_code': 22517998237515976, 'n': 37, 'trace_an': 12500}
  • id: 169453037
    {'hecke_orbit_code': 22517998237515976, 'n': 38, 'trace_an': 0}
  • id: 169453038
    {'hecke_orbit_code': 22517998237515976, 'n': 39, 'trace_an': -27432}
  • id: 169453039
    {'hecke_orbit_code': 22517998237515976, 'n': 40, 'trace_an': 0}
  • id: 169453040
    {'hecke_orbit_code': 22517998237515976, 'n': 41, 'trace_an': -5334}
  • id: 169453041
    {'hecke_orbit_code': 22517998237515976, 'n': 42, 'trace_an': 0}
  • id: 169453042
    {'hecke_orbit_code': 22517998237515976, 'n': 43, 'trace_an': 224}
  • id: 169453043
    {'hecke_orbit_code': 22517998237515976, 'n': 44, 'trace_an': 0}
  • id: 169453044
    {'hecke_orbit_code': 22517998237515976, 'n': 45, 'trace_an': 0}
  • id: 169453045
    {'hecke_orbit_code': 22517998237515976, 'n': 46, 'trace_an': 0}
  • id: 169453046
    {'hecke_orbit_code': 22517998237515976, 'n': 47, 'trace_an': 26072}
  • id: 169453047
    {'hecke_orbit_code': 22517998237515976, 'n': 48, 'trace_an': 0}
  • id: 169453048
    {'hecke_orbit_code': 22517998237515976, 'n': 49, 'trace_an': -31654}
  • id: 169453049
    {'hecke_orbit_code': 22517998237515976, 'n': 50, 'trace_an': 0}
  • id: 169453050
    {'hecke_orbit_code': 22517998237515976, 'n': 51, 'trace_an': -6600}
  • id: 169453051
    {'hecke_orbit_code': 22517998237515976, 'n': 52, 'trace_an': 0}
  • id: 169453052
    {'hecke_orbit_code': 22517998237515976, 'n': 53, 'trace_an': -46812}
  • id: 169453053
    {'hecke_orbit_code': 22517998237515976, 'n': 54, 'trace_an': 0}
  • id: 169453054
    {'hecke_orbit_code': 22517998237515976, 'n': 55, 'trace_an': 0}
  • id: 169453055
    {'hecke_orbit_code': 22517998237515976, 'n': 56, 'trace_an': 0}
  • id: 169453056
    {'hecke_orbit_code': 22517998237515976, 'n': 57, 'trace_an': 25078}
  • id: 169453057
    {'hecke_orbit_code': 22517998237515976, 'n': 58, 'trace_an': 0}
  • id: 169453058
    {'hecke_orbit_code': 22517998237515976, 'n': 59, 'trace_an': -81776}
  • id: 169453059
    {'hecke_orbit_code': 22517998237515976, 'n': 60, 'trace_an': 0}
  • id: 169453060
    {'hecke_orbit_code': 22517998237515976, 'n': 61, 'trace_an': -46932}
  • id: 169453061
    {'hecke_orbit_code': 22517998237515976, 'n': 62, 'trace_an': 0}
  • id: 169453062
    {'hecke_orbit_code': 22517998237515976, 'n': 63, 'trace_an': -7824}
  • id: 169453063
    {'hecke_orbit_code': 22517998237515976, 'n': 64, 'trace_an': 0}
  • id: 169453064
    {'hecke_orbit_code': 22517998237515976, 'n': 65, 'trace_an': 0}
  • id: 169453065
    {'hecke_orbit_code': 22517998237515976, 'n': 66, 'trace_an': 0}
  • id: 169453066
    {'hecke_orbit_code': 22517998237515976, 'n': 67, 'trace_an': 68808}
  • id: 169453067
    {'hecke_orbit_code': 22517998237515976, 'n': 68, 'trace_an': 0}
  • id: 169453068
    {'hecke_orbit_code': 22517998237515976, 'n': 69, 'trace_an': -55044}
  • id: 169453069
    {'hecke_orbit_code': 22517998237515976, 'n': 70, 'trace_an': 0}
  • id: 169453070
    {'hecke_orbit_code': 22517998237515976, 'n': 71, 'trace_an': 7448}
  • id: 169453071
    {'hecke_orbit_code': 22517998237515976, 'n': 72, 'trace_an': 0}
  • id: 169453072
    {'hecke_orbit_code': 22517998237515976, 'n': 73, 'trace_an': -108822}
  • id: 169453073
    {'hecke_orbit_code': 22517998237515976, 'n': 74, 'trace_an': 0}
  • id: 169453074
    {'hecke_orbit_code': 22517998237515976, 'n': 75, 'trace_an': 0}
  • id: 169453075
    {'hecke_orbit_code': 22517998237515976, 'n': 76, 'trace_an': 0}
  • id: 169453076
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  • id: 169453098
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  • id: 169453110
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  • id: 169453120
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  • id: 169453121
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  • id: 169453122
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  • id: 169453123
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  • id: 169453128
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  • id: 169453129
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  • id: 169453130
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  • id: 169453136
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  • id: 169453140
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  • id: 169453142
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  • id: 169453146
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  • id: 169453148
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  • id: 169453149
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  • id: 169453150
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  • id: 169453151
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  • id: 169453152
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  • id: 169453153
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  • id: 169453156
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  • id: 169453157
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  • id: 169453158
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  • id: 169453159
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  • id: 169453160
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  • id: 169453161
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  • id: 169453162
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  • id: 169453163
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  • id: 169453164
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  • id: 169453166
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  • id: 169453167
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  • id: 169453168
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  • id: 169453170
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  • id: 169453171
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  • id: 169453172
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  • id: 169453173
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  • id: 169453174
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  • id: 169453175
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  • id: 169453176
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  • id: 169453177
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  • id: 169453178
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  • id: 169453179
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  • id: 169453180
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  • id: 169453181
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  • id: 169453182
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  • id: 169453183
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  • id: 169453184
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  • id: 169453185
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  • id: 169453186
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  • id: 169453187
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  • id: 169453188
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  • id: 169453189
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  • id: 169453190
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  • id: 169453191
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  • id: 169453192
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  • id: 169453193
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  • id: 169453194
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  • id: 169453195
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  • id: 169453196
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  • id: 169453197
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  • id: 169453198
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  • id: 169453200
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  • id: 169453201
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  • id: 169453202
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  • id: 169453203
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  • id: 169453204
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  • id: 169453205
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  • id: 169453206
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  • id: 169453207
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  • id: 169453208
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  • id: 169453209
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  • id: 169453210
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  • id: 169453211
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  • id: 169453212
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  • id: 169453213
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  • id: 169453214
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  • id: 169453215
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  • id: 169453216
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  • id: 169453217
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  • id: 169453218
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  • id: 169453219
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  • id: 169453220
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  • id: 169453221
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  • id: 169453222
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  • id: 169453223
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  • id: 169453224
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  • id: 169453225
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  • id: 169453226
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  • id: 169453227
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  • id: 169453228
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  • id: 169453229
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  • id: 169453230
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  • id: 169453231
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  • id: 169453232
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  • id: 169453233
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  • id: 169453234
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  • id: 169453235
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  • id: 169453236
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  • id: 169453237
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  • id: 169453238
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  • id: 169453239
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  • id: 169453240
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  • id: 169453241
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  • id: 169453242
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  • id: 169453246
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  • id: 169453261
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  • id: 169453262
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  • id: 169453263
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  • id: 169453264
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  • id: 169453265
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  • id: 169453266
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  • id: 169453267
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  • id: 169453268
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  • id: 169453269
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  • id: 169453270
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  • id: 169453271
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  • id: 169453272
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  • id: 169453273
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  • id: 169453316
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