Embedded newform data - 2205.4.a.by.1.1

Formats: - HTML - YAML - JSON - 2024-04-25T06:41:41.012663

• 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': 35280, 'analytic_conductor': 130.09921156265804, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, -1], [7, -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': [2205, 1, [1226, 442, 1081], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 6, 'field_disc': 424014554896, 'field_disc_factorization': [[2, 4], [162791, 2]], 'field_poly': [-64, 0, 241, 0, -34, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [-64, 0, 241, 0, -34, 0, 1]], [11, [-335622400, 0, 2814992, 0, -3512, 0, 1]], [13, [-10404000000, 0, 14726800, 0, -6744, 0, 1]], [17, [216600, -5860, -22, 1]]], 'hecke_orbit': 51, 'hecke_orbit_code': 225179981435635869, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 512, 'hecke_ring_index_factorization': [[2, 9]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 21, 3, 1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '2205.4.a.by', 'level': 2205, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 7], 'level_radical': 105, 'minimal_twist': '2205.4.a.bx', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{2}+(3+\\beta _{2})q^{4}+5q^{5}+(4\\beta _{1}+\\cdots)q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2205.4.a', 'trace_display': [0, 0, 30, 0], 'trace_hash': 1301212297185860072, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.125', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.466', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.475', 'prec': 17}, {'__RealLiteral__': 0, 'data': '147.985', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5720.854', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.514', 'prec': 17}, 'traces': [6, 0, 0, 20, 30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 100, 44, 0, 0, 100, 0, -24, 0, 0, 150, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 380, 56, 0, 0, 612, 0, -328, 0, 0, 432, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1120, 136, 0, 0, 2264, 0, -1052, 0, 0, 1112, 264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1400, 500, 0, 0, 2912, 0, 220, 0, 0, 1384, 372, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 500, 3196, 0, 0, 5224, 0, -680, 0, 0, -684, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -962, 5280, 0, 0, 750, 0, 4144, 0, 0, 840, -456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2792, 8432, 0, 0, 9112, 0, -3704, 0, 0, -5448, -6152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1736, 13352, 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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-0.3903082443887601, -0.2620404142097399, -0.41888925732312693, -0.24787993300469668, -0.3619571274247387, -0.21856629750697534, -0.33693088415226946, -0.2023332091948337, -0.3075389674550516, -0.32267325889987286, -0.2023437959988982, -0.28086473096714815, -0.2327551307355055, -0.3328445478784571, -0.13894709335722, -0.21502212248887057, -0.23936965360366347, -0.12553977469577082, -0.25121884760156277, -0.4353426346181438, -0.4728551062004102, -0.1815548830303826, -0.17080079172493687, -0.15665731059365312, -0.33295990590285873, -0.33834048895371105, -0.2836643200668371, -0.33299178905683724, -0.44230371640905264, -0.19428388456933685, -0.08204440151107764], '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': -4.910920715015796, 'hecke_orbit': 51, 'hecke_orbit_code': 225179981435635869, 'label': '2205.4.a.by.1.1', 'level': 2205, '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': [[[[3, -1], [5, -1], [7, -1]], 30, 15], [[[3, 1], [5, 1], [7, -1]], 21, 6], [[[3, 1], [5, -1], [7, -1]], 21, 6], [[[3, 1], [5, 1], [7, 1]], 20, 2], [[[3, -1], [5, -1], [7, 1]], 31, 7], [[[3, 1], [5, -1], [7, 1]], 20, 2], [[[3, -1], [5, 1], [7, -1]], 33, 16], [[[3, -1], [5, 1], [7, 1]], 29, 7]], 'ALdims': [20, 21, 20, 21, 29, 33, 31, 30], 'Nk2': 35280, 'analytic_conductor': 130.09921156265804, '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': [2205, 1, [1226, 442, 1081], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 976, 'dim': 205, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 11, 13, 17], 'hecke_orbit_code': 67111069, '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, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 8, 8, 8, 8, 8, 8, 12, 12], 'label': '2205.4.a', 'level': 2205, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 7], 'level_radical': 105, 'mf_dim': 1040, 'mf_new_dim': 205, 'num_forms': 61, 'plus_dim': 105, 'prim_orbit_index': 1, 'relative_dim': 205, 'sturm_bound': 1344, 'trace_bound': 13, 'trace_display': [4, 0, -5, 0], 'traces': [205, 4, 0, 816, -5, 0, 0, 0, 0, -20, -80, 0, -34, 0, 0, 3240, -194, 0, -64, -80, 0, -512, -130, 0, 5125, -72, 0, 0, 422, 0, 412, 104, 0, -552, 0, 0, 1050, -1540, 0, -180, 830, 0, -246, -2464, 0, -236, -554, 0, 0, 100, 0, 416, 1286, 0, -80, 0, 0, 724, -1652, 0, 2158, -936, 0, 12568, 290, 0, 926, -244, 0, 0, 28, 0, 618, -648, 0, -1548, 0, 0, -1192, -2320, 0, 1492, 1166, 0, -210, -7800, 0, -11072, -3030, 0, 0, -2324, 0, 2916, 500, 0, 2170, 0, 0, 20400, 1958, 0, 198, 3604, 0, 2148, 9946, 0, -6082, -520, 0, 0, 1550, 0, -70, -4160, 0, -484, 0, 0, 25909, 3840, 0, 6744, -125, 0, -7866, -3336, 0, -400, -16, 0, 0, -1856, 0, -4988, 2654, 0, 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0, 1614896, -2136588, 0, 227320, 0, 0, 242224, -318608, 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: 49047387
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 225179981435635869, 'source_is_minimal': True, 'source_label': '2205.4.a.by.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 225179981435635869, 'target_is_minimal': True, 'target_label': '2205.4.a.by.1.1', 'target_level': 2205, 'twist_class_label': '2205.4.a.bx.1.1', 'twist_class_level': 2205, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 49047388
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 225179981435635869, 'source_is_minimal': True, 'source_label': '2205.4.a.by.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 220676381808265373, 'target_is_minimal': True, 'target_label': '2205.4.a.bx.1.6', 'target_level': 2205, 'twist_class_label': '2205.4.a.bx.1.1', 'twist_class_level': 2205, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 49047389
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 225179981435635869, 'source_is_minimal': True, 'source_label': '2205.4.a.by.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 220676381808265373, 'target_is_minimal': True, 'target_label': '2205.4.a.bx.1.1', 'target_level': 2205, 'twist_class_label': '2205.4.a.bx.1.1', 'twist_class_level': 2205, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 4}
  • id: 49047390
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 225179981435635869, 'source_is_minimal': True, 'source_label': '2205.4.a.by.1.1', 'source_level': 2205, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 225179981435635869, 'target_is_minimal': True, 'target_label': '2205.4.a.by.1.6', 'target_level': 2205, 'twist_class_label': '2205.4.a.bx.1.1', 'twist_class_level': 2205, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2498100
    {'charpoly_factorization': [[[-64, 0, 241, 0, -34, 0, 1], 1]], 'hecke_orbit_code': 225179981435635869, 'p': 2}
  • id: 2498101
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 225179981435635869, 'p': 3}
  • id: 2498102
    {'charpoly_factorization': [[[-5, 1], 6]], 'hecke_orbit_code': 225179981435635869, 'p': 5}
  • id: 2498103
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 225179981435635869, 'p': 7}
  • id: 2498104
    {'charpoly_factorization': [[[-335622400, 0, 2814992, 0, -3512, 0, 1], 1]], 'hecke_orbit_code': 225179981435635869, 'p': 11}
  • id: 2498105
    {'charpoly_factorization': [[[-10404000000, 0, 14726800, 0, -6744, 0, 1], 1]], 'hecke_orbit_code': 225179981435635869, 'p': 13}
  • id: 2498106
    {'charpoly_factorization': [[[216600, -5860, -22, 1], 2]], 'hecke_orbit_code': 225179981435635869, 'p': 17}
  • id: 2498107
    {'charpoly_factorization': [[[-23592960000, 0, 41722000, 0, -19176, 0, 1], 1]], 'hecke_orbit_code': 225179981435635869, 'p': 19}
  • id: 2498108
    {'charpoly_factorization': [[[-183759683584, 0, 152912896, 0, -23824, 0, 1], 1]], 'hecke_orbit_code': 225179981435635869, 'p': 23}
  • id: 2498109
    {'charpoly_factorization': [[[-53084160000, 0, 115423488, 0, -21856, 0, 1], 1]], 'hecke_orbit_code': 225179981435635869, 'p': 29}
  • id: 2498110
    {'charpoly_factorization': [[[-19948728960000, 0, 3431530000, 0, -127496, 0, 1], 1]], 'hecke_orbit_code': 225179981435635869, 'p': 31}
  • id: 2498111
    {'charpoly_factorization': [[[-193800, -52804, -190, 1], 2]], 'hecke_orbit_code': 225179981435635869, 'p': 37}
  • id: 2498112
    {'charpoly_factorization': [[[15501000, -48260, -306, 1], 2]], 'hecke_orbit_code': 225179981435635869, 'p': 41}
  • id: 2498113
    {'charpoly_factorization': [[[-369600, 400, 164, 1], 2]], 'hecke_orbit_code': 225179981435635869, 'p': 43}
  • id: 2498114
    {'charpoly_factorization': [[[17640000, -201200, -60, 1], 2]], 'hecke_orbit_code': 225179981435635869, 'p': 47}
  • id: 2498115
    {'charpoly_factorization': [[[-379858852641024, 0, 23922850320, 0, -335032, 0, 1], 1]], 'hecke_orbit_code': 225179981435635869, 'p': 53}
  • id: 2498116
    {'charpoly_factorization': [[[68808000, -460240, -68, 1], 2]], 'hecke_orbit_code': 225179981435635869, 'p': 59}
  • id: 2498117
    {'charpoly_factorization': [[[-82301184000000, 0, 21785760000, 0, -554400, 0, 1], 1]], 'hecke_orbit_code': 225179981435635869, 'p': 61}
  • id: 2498118
    {'charpoly_factorization': [[[377458560, -639936, -556, 1], 2]], 'hecke_orbit_code': 225179981435635869, 'p': 67}
  • id: 2498119
    {'charpoly_factorization': [[[-16881580038400, 0, 6060422288, 0, -153944, 0, 1], 1]], 'hecke_orbit_code': 225179981435635869, 'p': 71}
  • id: 2498120
    {'charpoly_factorization': [[[-87245799876000000, 0, 780678854800, 0, -1972824, 0, 1], 1]], 'hecke_orbit_code': 225179981435635869, 'p': 73}
  • id: 2498121
    {'charpoly_factorization': [[[-6055424, 137408, -700, 1], 2]], 'hecke_orbit_code': 225179981435635869, 'p': 79}
  • id: 2498122
    {'charpoly_factorization': [[[185865600, 170000, -1456, 1], 2]], 'hecke_orbit_code': 225179981435635869, 'p': 83}
  • id: 2498123
    {'charpoly_factorization': [[[95685000, -926900, -186, 1], 2]], 'hecke_orbit_code': 225179981435635869, 'p': 89}
  • id: 2498124
    {'charpoly_factorization': [[[-34295336100000000, 0, 643063622800, 0, -1787864, 0, 1], 1]], 'hecke_orbit_code': 225179981435635869, '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': 51, 'label': '2205.4.a.by', 'level': 2205, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 277664000
    {'hecke_orbit_code': 225179981435635869, 'n': 1, 'trace_an': 6}
  • id: 277664001
    {'hecke_orbit_code': 225179981435635869, 'n': 2, 'trace_an': 0}
  • id: 277664002
    {'hecke_orbit_code': 225179981435635869, 'n': 3, 'trace_an': 0}
  • id: 277664003
    {'hecke_orbit_code': 225179981435635869, 'n': 4, 'trace_an': 20}
  • id: 277664004
    {'hecke_orbit_code': 225179981435635869, 'n': 5, 'trace_an': 30}
  • id: 277664005
    {'hecke_orbit_code': 225179981435635869, 'n': 6, 'trace_an': 0}
  • id: 277664006
    {'hecke_orbit_code': 225179981435635869, 'n': 7, 'trace_an': 0}
  • id: 277664007
    {'hecke_orbit_code': 225179981435635869, 'n': 8, 'trace_an': 0}
  • id: 277664008
    {'hecke_orbit_code': 225179981435635869, 'n': 9, 'trace_an': 0}
  • id: 277664009
    {'hecke_orbit_code': 225179981435635869, 'n': 10, 'trace_an': 0}
  • id: 277664010
    {'hecke_orbit_code': 225179981435635869, 'n': 11, 'trace_an': 0}
  • id: 277664011
    {'hecke_orbit_code': 225179981435635869, 'n': 12, 'trace_an': 0}
  • id: 277664012
    {'hecke_orbit_code': 225179981435635869, 'n': 13, 'trace_an': 0}
  • id: 277664013
    {'hecke_orbit_code': 225179981435635869, 'n': 14, 'trace_an': 0}
  • id: 277664014
    {'hecke_orbit_code': 225179981435635869, 'n': 15, 'trace_an': 0}
  • id: 277664015
    {'hecke_orbit_code': 225179981435635869, 'n': 16, 'trace_an': 100}
  • id: 277664016
    {'hecke_orbit_code': 225179981435635869, 'n': 17, 'trace_an': 44}
  • id: 277664017
    {'hecke_orbit_code': 225179981435635869, 'n': 18, 'trace_an': 0}
  • id: 277664018
    {'hecke_orbit_code': 225179981435635869, 'n': 19, 'trace_an': 0}
  • id: 277664019
    {'hecke_orbit_code': 225179981435635869, 'n': 20, 'trace_an': 100}
  • id: 277664020
    {'hecke_orbit_code': 225179981435635869, 'n': 21, 'trace_an': 0}
  • id: 277664021
    {'hecke_orbit_code': 225179981435635869, 'n': 22, 'trace_an': -24}
  • id: 277664022
    {'hecke_orbit_code': 225179981435635869, 'n': 23, 'trace_an': 0}
  • id: 277664023
    {'hecke_orbit_code': 225179981435635869, 'n': 24, 'trace_an': 0}
  • id: 277664024
    {'hecke_orbit_code': 225179981435635869, 'n': 25, 'trace_an': 150}
  • id: 277664025
    {'hecke_orbit_code': 225179981435635869, 'n': 26, 'trace_an': 168}
  • id: 277664026
    {'hecke_orbit_code': 225179981435635869, 'n': 27, 'trace_an': 0}
  • id: 277664027
    {'hecke_orbit_code': 225179981435635869, 'n': 28, 'trace_an': 0}
  • id: 277664028
    {'hecke_orbit_code': 225179981435635869, 'n': 29, 'trace_an': 0}
  • id: 277664029
    {'hecke_orbit_code': 225179981435635869, 'n': 30, 'trace_an': 0}
  • id: 277664030
    {'hecke_orbit_code': 225179981435635869, 'n': 31, 'trace_an': 0}
  • id: 277664031
    {'hecke_orbit_code': 225179981435635869, 'n': 32, 'trace_an': 0}
  • id: 277664032
    {'hecke_orbit_code': 225179981435635869, 'n': 33, 'trace_an': 0}
  • id: 277664033
    {'hecke_orbit_code': 225179981435635869, 'n': 34, 'trace_an': 0}
  • id: 277664034
    {'hecke_orbit_code': 225179981435635869, 'n': 35, 'trace_an': 0}
  • id: 277664035
    {'hecke_orbit_code': 225179981435635869, 'n': 36, 'trace_an': 0}
  • id: 277664036
    {'hecke_orbit_code': 225179981435635869, 'n': 37, 'trace_an': 380}
  • id: 277664037
    {'hecke_orbit_code': 225179981435635869, 'n': 38, 'trace_an': 56}
  • id: 277664038
    {'hecke_orbit_code': 225179981435635869, 'n': 39, 'trace_an': 0}
  • id: 277664039
    {'hecke_orbit_code': 225179981435635869, 'n': 40, 'trace_an': 0}
  • id: 277664040
    {'hecke_orbit_code': 225179981435635869, 'n': 41, 'trace_an': 612}
  • id: 277664041
    {'hecke_orbit_code': 225179981435635869, 'n': 42, 'trace_an': 0}
  • id: 277664042
    {'hecke_orbit_code': 225179981435635869, 'n': 43, 'trace_an': -328}
  • id: 277664043
    {'hecke_orbit_code': 225179981435635869, 'n': 44, 'trace_an': 0}
  • id: 277664044
    {'hecke_orbit_code': 225179981435635869, 'n': 45, 'trace_an': 0}
  • id: 277664045
    {'hecke_orbit_code': 225179981435635869, 'n': 46, 'trace_an': 432}
  • id: 277664046
    {'hecke_orbit_code': 225179981435635869, 'n': 47, 'trace_an': 120}
  • id: 277664047
    {'hecke_orbit_code': 225179981435635869, 'n': 48, 'trace_an': 0}
  • id: 277664048
    {'hecke_orbit_code': 225179981435635869, 'n': 49, 'trace_an': 0}
  • id: 277664049
    {'hecke_orbit_code': 225179981435635869, 'n': 50, 'trace_an': 0}
  • id: 277664050
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  • id: 277664051
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  • id: 277664055
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  • id: 277664057
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  • id: 277664058
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  • id: 277664059
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  • id: 277664060
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  • id: 277664061
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  • id: 277664062
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  • id: 277664063
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  • id: 277664064
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  • id: 277664065
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  • id: 277664066
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  • id: 277664067
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  • id: 277664068
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  • id: 277664069
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  • id: 277664070
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  • id: 277664078
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  • id: 277664079
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  • id: 277664080
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  • id: 277664082
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  • id: 277664083
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  • id: 277664084
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  • id: 277664085
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  • id: 277664087
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  • id: 277664088
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  • id: 277664091
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  • id: 277664094
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  • id: 277664095
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  • id: 277664099
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  • id: 277664100
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  • id: 277664101
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  • id: 277664102
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  • id: 277664103
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  • id: 277664110
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  • id: 277664116
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  • id: 277664117
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  • id: 277664118
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  • id: 277664119
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  • id: 277664120
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  • id: 277664121
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  • id: 277664122
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  • id: 277664123
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  • id: 277664124
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  • id: 277664125
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  • id: 277664126
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  • id: 277664127
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  • id: 277664128
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  • id: 277664129
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  • id: 277664130
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  • id: 277664131
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  • id: 277664132
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  • id: 277664133
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  • id: 277664135
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  • id: 277664137
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  • id: 277664139
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  • id: 277664140
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  • id: 277664141
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  • id: 277664142
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  • id: 277664143
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  • id: 277664144
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  • id: 277664145
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  • id: 277664147
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  • id: 277664148
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  • id: 277664149
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  • id: 277664150
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  • id: 277664151
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  • id: 277664152
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  • id: 277664153
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  • id: 277664154
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  • id: 277664155
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  • id: 277664156
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  • id: 277664157
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  • id: 277664158
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  • id: 277664159
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  • id: 277664160
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  • id: 277664161
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  • id: 277664162
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  • id: 277664163
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  • id: 277664164
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  • id: 277664166
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  • id: 277664167
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  • id: 277664168
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  • id: 277664169
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  • id: 277664170
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  • id: 277664171
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  • id: 277664172
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  • id: 277664173
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  • id: 277664177
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  • id: 277664178
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  • id: 277664179
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  • id: 277664180
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  • id: 277664181
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  • id: 277664187
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  • id: 277664188
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  • id: 277664189
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  • id: 277664190
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  • id: 277664191
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  • id: 277664192
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  • id: 277664193
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  • id: 277664194
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  • id: 277664195
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  • id: 277664196
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  • id: 277664197
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  • id: 277664198
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  • id: 277664199
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  • id: 277664200
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  • id: 277664201
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  • id: 277664203
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  • id: 277664204
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  • id: 277664205
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  • id: 277664206
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  • id: 277664207
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  • id: 277664208
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  • id: 277664210
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  • id: 277664212
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  • id: 277664213
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  • id: 277664214
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  • id: 277664218
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  • id: 277664219
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  • id: 277664220
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  • id: 277664224
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  • id: 277664227
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  • id: 277664228
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  • id: 277664231
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  • id: 277664232
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  • id: 277664233
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  • id: 277664234
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  • id: 277664235
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  • id: 277664236
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  • id: 277664237
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  • id: 277664238
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  • id: 277664239
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  • id: 277664240
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  • id: 277664241
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  • id: 277664242
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  • id: 277664243
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  • id: 277664244
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  • id: 277664245
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  • id: 277664246
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  • id: 277664247
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