Embedded newform data - 2160.4.a.bf.1.1

Formats: - HTML - YAML - JSON - 2024-04-20T05:07:48.383137

• 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': 34560, 'analytic_conductor': 127.44412561239973, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 1], [5, 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': [2160, 1, [271, 1621, 2081, 1297], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 3, 'field_disc': 47977, 'field_disc_factorization': [[47977, 1]], 'field_poly': [-44, -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': [[7, [-5524, -588, 9, 1]], [11, [76426, -3081, -18, 1]]], 'hecke_orbit': 32, 'hecke_orbit_code': 139611588515596400, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 18, 'hecke_ring_index_factorization': [[2, 1], [3, 2]], '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': '2160.4.a.bf', 'level': 2160, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '1080.4.a.h', 'nf_label': '3.3.47977.1', 'prim_orbit_index': 1, 'qexp_display': 'q-5q^{5}+(-3-\\beta _{2})q^{7}+(6+\\beta _{1}-\\beta _{2})q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2160.4.a', 'trace_display': [0, 0, -15, -9], 'trace_hash': 1997993450958646117, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.872', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '22.600', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '276.002', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [3, 0, 0, 0, -15, 0, -9, 0, 0, 0, 18, 0, -21, 0, 0, 0, -84, 0, -21, 0, 0, 0, 48, 0, 75, 0, 0, 0, 36, 0, -324, 0, 0, 0, 45, 0, 33, 0, 0, 0, -114, 0, -282, 0, 0, 0, 282, 0, 228, 0, 0, 0, -222, 0, -90, 0, 0, 0, -276, 0, 303, 0, 0, 0, 105, 0, -1035, 0, 0, 0, 510, 0, 447, 0, 0, 0, 1578, 0, -777, 0, 0, 0, 78, 0, 420, 0, 0, 0, 324, 0, -1995, 0, 0, 0, 105, 0, 1191, 0, 0, 0, 1218, 0, -2361, 0, 0, 0, 1398, 0, 1278, 0, 0, 0, 2178, 0, -240, 0, 0, 0, -576, 0, 2493, 0, 0, 0, -375, 0, -3408, 0, 0, 0, 1572, 0, 3753, 0, 0, 0, -30, 0, -5463, 0, 0, 0, 1356, 0, -180, 0, 0, 0, 2850, 0, 747, 0, 0, 0, 1620, 0, 7710, 0, 0, 0, 1086, 0, -1023, 0, 0, 0, 5208, 0, 1212, 0, 0, 0, 4176, 0, -225, 0, 0, 0, 798, 0, 4737, 0, 0, 0, -165, 0, 2610, 0, 0, 0, 5472, 0, 7005, 0, 0, 0, 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• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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-0.21460392727375288, -0.36937836231646803, -0.18617558852567598, -0.0878851820785876, -0.10879587003420398], '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': -6.835751744963614, 'hecke_orbit': 32, 'hecke_orbit_code': 139611588515596400, 'label': '2160.4.a.bf.1.1', 'level': 2160, 'weight': 4}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'AL_dims': [[[[2, 1], [3, -1], [5, 1]], 13, 4], [[[2, -1], [3, -1], [5, -1]], 11, 8], [[[2, 1], [3, -1], [5, -1]], 13, 4], [[[2, -1], [3, 1], [5, 1]], 11, 8], [[[2, -1], [3, 1], [5, -1]], 13, 8], [[[2, 1], [3, 1], [5, -1]], 11, 4], [[[2, 1], [3, 1], [5, 1]], 11, 4], [[[2, -1], [3, -1], [5, 1]], 13, 8]], 'ALdims': [11, 11, 13, 13, 11, 13, 13, 11], 'Nk2': 34560, 'analytic_conductor': 127.44412561239973, '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': [2160, 1, [271, 1621, 2081, 1297], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1260, 'dim': 96, 'eis_dim': 72, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 67111024, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4], 'label': '2160.4.a', 'level': 2160, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 1332, 'mf_new_dim': 96, 'num_forms': 48, 'plus_dim': 50, 'prim_orbit_index': 1, 'relative_dim': 96, 'sturm_bound': 1728, 'trace_bound': 11, 'trace_display': [0, 0, 0, 36], 'traces': [96, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 2400, 0, 0, 0, 0, 0, 348, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -672, 0, 0, 0, 0, 0, 4344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -456, 0, 0, 0, 0, 0, -2508, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, -1920, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, -3588, 0, 0, 0, 0, 0, 792, 0, 0, 0, 0, 0, 2124, 0, 0, 0, 0, 0, 696, 0, 0, 0, 0, 0, -1140, 0, 0, 0, 0, 0, 12552, 0, 0, 0, 0, 0, -3144, 0, 0, 0, 0, 0, 2064, 0, 0, 0, 0, 0, -5268, 0, 0, 0, 0, 0, 360, 0, 0, 0, 0, 0, -9084, 0, 0, 0, 0, 0, 912, 0, 0, 0, 0, 0, 12396, 0, 0, 0, 0, 0, 21168, 0, 0, 0, 0, 0, 900, 0, 0, 0, 0, 0, 2184, 0, 0, 0, 0, 0, 2016, 0, 0, 0, 0, 0, -3048, 0, 0, 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-679680, 0, 0, 0, 0, 0, 96000, 0, 0, 0, 0, 0, -476352, 0, 0, 0, 0, 0, 832944, 0, 0, 0, 0, 0, -863184, 0, 0, 0, 0, 0, -592068, 0, 0, 0, 0, 0, 131760, 0, 0, 0, 0, 0, -549672, 0, 0, 0, 0, 0, -1423272, 0, 0, 0, 0, 0, 3821604, 0, 0, 0, 0, 0, 1702656, 0, 0, 0, 0, 0, -28500, 0, 0, 0, 0, 0, 373920, 0, 0, 0, 0, 0, -1351836, 0, 0, 0, 0, 0, 615408, 0, 0, 0, 0, 0, 761136, 0, 0, 0, 0, 0, 44880, 0, 0, 0, 0, 0, -1084752, 0, 0, 0, 0, 0, -521376, 0, 0, 0, 0, 0, -1594980, 0, 0, 0, 0, 0, -143544, 0, 0, 0, 0, 0, 55620, 0, 0, 0, 0, 0, -951384, 0, 0, 0, 0, 0, -461940, 0, 0, 0, 0, 0, -1893936, 0, 0, 0, 0, 0, 582168, 0, 0, 0, 0, 0, -206280, 0, 0, 0, 0, 0, -619596, 0, 0, 0, 0, 0, -1726320, 0, 0, 0, 0, 0, -415896, 0, 0, 0, 0, 0, -195576, 0, 0, 0, 0, 0, 983040, 0, 0, 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: 48774179
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 139611588515596400, 'source_is_minimal': False, 'source_label': '2160.4.a.bf.1.1', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 139611588515596400, 'target_is_minimal': False, 'target_label': '2160.4.a.bf.1.1', 'target_level': 2160, 'twist_class_label': '1080.4.a.h.1.3', 'twist_class_level': 1080, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48774180
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 139611588515596400, 'source_is_minimal': False, 'source_label': '2160.4.a.bf.1.1', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 175640385534560368, 'target_is_minimal': False, 'target_label': '2160.4.a.bn.1.1', 'target_level': 2160, 'twist_class_label': '1080.4.a.h.1.3', 'twist_class_level': 1080, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48774181
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 139611588515596400, 'source_is_minimal': False, 'source_label': '2160.4.a.bf.1.1', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 31525197458703416, 'target_is_minimal': True, 'target_label': '1080.4.a.h.1.3', 'target_level': 1080, 'twist_class_label': '1080.4.a.h.1.3', 'twist_class_level': 1080, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48774182
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 139611588515596400, 'source_is_minimal': False, 'source_label': '2160.4.a.bf.1.1', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 58546795222926392, 'target_is_minimal': True, 'target_label': '1080.4.a.n.1.3', 'target_level': 1080, 'twist_class_label': '1080.4.a.h.1.3', 'twist_class_level': 1080, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2464050
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 139611588515596400, 'p': 2}
  • id: 2464051
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 139611588515596400, 'p': 3}
  • id: 2464052
    {'charpoly_factorization': [[[5, 1], 3]], 'hecke_orbit_code': 139611588515596400, 'p': 5}
  • id: 2464053
    {'charpoly_factorization': [[[-5524, -588, 9, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 7}
  • id: 2464054
    {'charpoly_factorization': [[[76426, -3081, -18, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 11}
  • id: 2464055
    {'charpoly_factorization': [[[-30901, -3681, 21, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 13}
  • id: 2464056
    {'charpoly_factorization': [[[-86732, -33, 84, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 17}
  • id: 2464057
    {'charpoly_factorization': [[[-138464, -5388, 21, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 19}
  • id: 2464058
    {'charpoly_factorization': [[[2038, 153, -48, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 23}
  • id: 2464059
    {'charpoly_factorization': [[[3034586, -41655, -36, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 29}
  • id: 2464060
    {'charpoly_factorization': [[[-9213176, -18813, 324, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 31}
  • id: 2464061
    {'charpoly_factorization': [[[2851956, -44748, -33, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 37}
  • id: 2464062
    {'charpoly_factorization': [[[-1847232, -81144, 114, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 41}
  • id: 2464063
    {'charpoly_factorization': [[[-1113236, -17943, 282, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 43}
  • id: 2464064
    {'charpoly_factorization': [[[-11238296, -158643, -282, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 47}
  • id: 2464065
    {'charpoly_factorization': [[[5908896, -164016, 222, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 53}
  • id: 2464066
    {'charpoly_factorization': [[[92, 1], 3]], 'hecke_orbit_code': 139611588515596400, 'p': 59}
  • id: 2464067
    {'charpoly_factorization': [[[13330220, -60876, -303, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 61}
  • id: 2464068
    {'charpoly_factorization': [[[-849676336, -838416, 1035, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 67}
  • id: 2464069
    {'charpoly_factorization': [[[11439360, 24552, -510, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 71}
  • id: 2464070
    {'charpoly_factorization': [[[78574428, -509940, -447, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 73}
  • id: 2464071
    {'charpoly_factorization': [[[14000175, -351945, 777, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 79}
  • id: 2464072
    {'charpoly_factorization': [[[-87546568, -832644, -78, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 83}
  • id: 2464073
    {'charpoly_factorization': [[[-92454912, -508608, -324, 1], 1]], 'hecke_orbit_code': 139611588515596400, 'p': 89}
  • id: 2464074
    {'charpoly_factorization': [[[31736348, -183012, -1191, 1], 1]], 'hecke_orbit_code': 139611588515596400, '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': 32, 'label': '2160.4.a.bf', 'level': 2160, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 267409000
    {'hecke_orbit_code': 139611588515596400, 'n': 1, 'trace_an': 3}
  • id: 267409001
    {'hecke_orbit_code': 139611588515596400, 'n': 2, 'trace_an': 0}
  • id: 267409002
    {'hecke_orbit_code': 139611588515596400, 'n': 3, 'trace_an': 0}
  • id: 267409003
    {'hecke_orbit_code': 139611588515596400, 'n': 4, 'trace_an': 0}
  • id: 267409004
    {'hecke_orbit_code': 139611588515596400, 'n': 5, 'trace_an': -15}
  • id: 267409005
    {'hecke_orbit_code': 139611588515596400, 'n': 6, 'trace_an': 0}
  • id: 267409006
    {'hecke_orbit_code': 139611588515596400, 'n': 7, 'trace_an': -9}
  • id: 267409007
    {'hecke_orbit_code': 139611588515596400, 'n': 8, 'trace_an': 0}
  • id: 267409008
    {'hecke_orbit_code': 139611588515596400, 'n': 9, 'trace_an': 0}
  • id: 267409009
    {'hecke_orbit_code': 139611588515596400, 'n': 10, 'trace_an': 0}
  • id: 267409010
    {'hecke_orbit_code': 139611588515596400, 'n': 11, 'trace_an': 18}
  • id: 267409011
    {'hecke_orbit_code': 139611588515596400, 'n': 12, 'trace_an': 0}
  • id: 267409012
    {'hecke_orbit_code': 139611588515596400, 'n': 13, 'trace_an': -21}
  • id: 267409013
    {'hecke_orbit_code': 139611588515596400, 'n': 14, 'trace_an': 0}
  • id: 267409014
    {'hecke_orbit_code': 139611588515596400, 'n': 15, 'trace_an': 0}
  • id: 267409015
    {'hecke_orbit_code': 139611588515596400, 'n': 16, 'trace_an': 0}
  • id: 267409016
    {'hecke_orbit_code': 139611588515596400, 'n': 17, 'trace_an': -84}
  • id: 267409017
    {'hecke_orbit_code': 139611588515596400, 'n': 18, 'trace_an': 0}
  • id: 267409018
    {'hecke_orbit_code': 139611588515596400, 'n': 19, 'trace_an': -21}
  • id: 267409019
    {'hecke_orbit_code': 139611588515596400, 'n': 20, 'trace_an': 0}
  • id: 267409020
    {'hecke_orbit_code': 139611588515596400, 'n': 21, 'trace_an': 0}
  • id: 267409021
    {'hecke_orbit_code': 139611588515596400, 'n': 22, 'trace_an': 0}
  • id: 267409022
    {'hecke_orbit_code': 139611588515596400, 'n': 23, 'trace_an': 48}
  • id: 267409023
    {'hecke_orbit_code': 139611588515596400, 'n': 24, 'trace_an': 0}
  • id: 267409024
    {'hecke_orbit_code': 139611588515596400, 'n': 25, 'trace_an': 75}
  • id: 267409025
    {'hecke_orbit_code': 139611588515596400, 'n': 26, 'trace_an': 0}
  • id: 267409026
    {'hecke_orbit_code': 139611588515596400, 'n': 27, 'trace_an': 0}
  • id: 267409027
    {'hecke_orbit_code': 139611588515596400, 'n': 28, 'trace_an': 0}
  • id: 267409028
    {'hecke_orbit_code': 139611588515596400, 'n': 29, 'trace_an': 36}
  • id: 267409029
    {'hecke_orbit_code': 139611588515596400, 'n': 30, 'trace_an': 0}
  • id: 267409030
    {'hecke_orbit_code': 139611588515596400, 'n': 31, 'trace_an': -324}
  • id: 267409031
    {'hecke_orbit_code': 139611588515596400, 'n': 32, 'trace_an': 0}
  • id: 267409032
    {'hecke_orbit_code': 139611588515596400, 'n': 33, 'trace_an': 0}
  • id: 267409033
    {'hecke_orbit_code': 139611588515596400, 'n': 34, 'trace_an': 0}
  • id: 267409034
    {'hecke_orbit_code': 139611588515596400, 'n': 35, 'trace_an': 45}
  • id: 267409035
    {'hecke_orbit_code': 139611588515596400, 'n': 36, 'trace_an': 0}
  • id: 267409036
    {'hecke_orbit_code': 139611588515596400, 'n': 37, 'trace_an': 33}
  • id: 267409037
    {'hecke_orbit_code': 139611588515596400, 'n': 38, 'trace_an': 0}
  • id: 267409038
    {'hecke_orbit_code': 139611588515596400, 'n': 39, 'trace_an': 0}
  • id: 267409039
    {'hecke_orbit_code': 139611588515596400, 'n': 40, 'trace_an': 0}
  • id: 267409040
    {'hecke_orbit_code': 139611588515596400, 'n': 41, 'trace_an': -114}
  • id: 267409041
    {'hecke_orbit_code': 139611588515596400, 'n': 42, 'trace_an': 0}
  • id: 267409042
    {'hecke_orbit_code': 139611588515596400, 'n': 43, 'trace_an': -282}
  • id: 267409043
    {'hecke_orbit_code': 139611588515596400, 'n': 44, 'trace_an': 0}
  • id: 267409044
    {'hecke_orbit_code': 139611588515596400, 'n': 45, 'trace_an': 0}
  • id: 267409045
    {'hecke_orbit_code': 139611588515596400, 'n': 46, 'trace_an': 0}
  • id: 267409046
    {'hecke_orbit_code': 139611588515596400, 'n': 47, 'trace_an': 282}
  • id: 267409047
    {'hecke_orbit_code': 139611588515596400, 'n': 48, 'trace_an': 0}
  • id: 267409048
    {'hecke_orbit_code': 139611588515596400, 'n': 49, 'trace_an': 228}
  • id: 267409049
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  • id: 267409054
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  • id: 267409060
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  • id: 267409062
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  • id: 267409064
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  • id: 267409065
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  • id: 267409066
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  • id: 267409071
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  • id: 267409072
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  • id: 267409078
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  • id: 267409084
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  • id: 267409090
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  • id: 267409091
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  • id: 267409096
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  • id: 267409114
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  • id: 267409116
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  • id: 267409118
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  • id: 267409120
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  • id: 267409121
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  • id: 267409122
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  • id: 267409126
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  • id: 267409128
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  • id: 267409129
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  • id: 267409130
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  • id: 267409131
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  • id: 267409132
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  • id: 267409136
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  • id: 267409138
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  • id: 267409142
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  • id: 267409143
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  • id: 267409144
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  • id: 267409146
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  • id: 267409148
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  • id: 267409150
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  • id: 267409151
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  • id: 267409152
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  • id: 267409153
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  • id: 267409154
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  • id: 267409155
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  • id: 267409156
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  • id: 267409157
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  • id: 267409158
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  • id: 267409160
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  • id: 267409161
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  • id: 267409162
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  • id: 267409163
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  • id: 267409164
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  • id: 267409166
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  • id: 267409167
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  • id: 267409168
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  • id: 267409170
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  • id: 267409172
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  • id: 267409173
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  • id: 267409178
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  • id: 267409179
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  • id: 267409180
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  • id: 267409181
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  • id: 267409186
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  • id: 267409188
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  • id: 267409190
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  • id: 267409191
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  • id: 267409192
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  • id: 267409193
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  • id: 267409196
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  • id: 267409198
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  • id: 267409244
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