Embedded newform data - 495.6.a.e.1.2

Formats: - HTML - YAML - JSON - 2024-04-24T08:29:38.561891

• 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': 17820, 'analytic_conductor': 79.38999080742542, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, 1], [11, -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': [495, 1, [56, 397, 46], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 3, 'field_disc': 34253, 'field_disc_factorization': [[34253, 1]], 'field_poly': [48, -52, -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': [[2, [140, -36, -7, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18014398610145775, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 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': '495.6.a.e', 'level': 495, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 11], 'level_radical': 165, 'minimal_twist': '165.6.a.a', 'nf_label': '3.3.34253.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(2+\\beta _{1})q^{2}+(7+4\\beta _{1}+\\beta _{2})q^{4}-5^{2}q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '495.6.a', 'trace_display': [7, 0, -75, -172], 'trace_hash': 1408966640614921752, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.958', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '24.636', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1.379', 'prec': 17}, {'__RealLiteral__': 0, 'data': '309.278', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [3, 7, 0, 25, -75, 0, -172, 231, 0, -175, 363, 0, -654, 728, 0, -415, 2366, 0, -2872, -625, 0, 847, -2272, 0, 1875, -3422, 0, 4592, 7738, 0, 568, -1001, 0, 2506, 4300, 0, -9126, -13076, 0, -5775, 8758, 0, -14672, 3025, 0, -28768, 19392, 0, -26629, 4375, 0, -61506, 4598, 0, -9075, -2688, 0, 8550, 9348, 0, -60078, 14096, 0, -7087, 16350, 0, -38468, -59778, 0, -18200, 74032, 0, -44442, -82542, 0, -98708, -20812, 0, -108116, 10375, 0, -92230, 81892, 0, -59150, -126412, 0, 27951, -167342, 0, -31832, -72960, 0, 12728, 71800, 0, 159702, -163121, 0, 15625, 28770, 0, 197848, -389662, 0, 124310, -60164, 0, -108646, -21175, 0, 84000, -288518, 0, 56800, -105934, 0, 317268, -236248, 0, 43923, -493590, 0, 119456, -46875, 0, 112476, -611065, 0, 85550, 562044, 0, 45264, -329124, 0, -289870, -368046, 0, -125888, 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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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• 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], [11, -1]], 14, 3], [[[3, 1], [5, -1], [11, -1]], 6, 1], [[[3, 1], [5, -1], [11, 1]], 10, 1], [[[3, -1], [5, 1], [11, -1]], 11, 3], [[[3, 1], [5, 1], [11, 1]], 6, 1], [[[3, -1], [5, -1], [11, 1]], 12, 3], [[[3, -1], [5, 1], [11, 1]], 13, 3], [[[3, 1], [5, 1], [11, -1]], 10, 1]], 'ALdims': [6, 10, 10, 6, 13, 11, 12, 14], 'Nk2': 17820, 'analytic_conductor': 79.38999080742542, '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': [495, 1, [56, 397, 46], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 352, 'dim': 82, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 100663791, 'hecke_orbit_dims': [3, 3, 3, 3, 3, 3, 4, 5, 5, 5, 6, 6, 6, 7, 10, 10], 'label': '495.6.a', 'level': 495, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 11], 'level_radical': 165, 'mf_dim': 368, 'mf_new_dim': 82, 'num_forms': 16, 'plus_dim': 35, 'prim_orbit_index': 1, 'relative_dim': 82, 'sturm_bound': 432, 'trace_bound': 4, 'trace_display': [0, 0, 50, -44], 'traces': [82, 0, 0, 1268, 50, 0, -44, -852, 0, -100, 0, 0, 1748, -2720, 0, 20160, -956, 0, 2728, 4300, 0, -968, 7556, 0, 51250, 3292, 0, -1028, -10876, 0, 3480, -16064, 0, 13672, 3100, 0, 6020, 61120, 0, 3000, 25852, 0, 47628, -2420, 0, 93512, 9372, 0, 194210, 0, 0, 8972, 95708, 0, -12100, -211872, 0, -140352, -91808, 0, 137852, 60392, 0, 374844, 100, 0, -9564, 231228, 0, 20500, -79232, 0, -93772, 68752, 0, 384528, 76956, 0, 92256, 134000, 0, 392144, -178292, 0, -134300, 522620, 0, -46464, -373284, 0, 90656, -220912, 0, 668768, 19800, 0, -420796, 481168, 0, 792500, 75860, 0, 394380, 577876, 0, -564256, -342940, 0, -592532, 72600, 0, 361988, 333548, 0, 231100, -324776, 0, 90384, 782560, 0, 1200562, 1217096, 0, -110876, 31250, 0, -515596, -1496540, 0, 224900, 936576, 0, 2242720, 426560, 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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: 44131268
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014398610145775, 'source_is_minimal': False, 'source_label': '495.6.a.e.1.2', 'source_level': 495, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014398610145775, 'target_is_minimal': False, 'target_label': '495.6.a.e.1.2', 'target_level': 495, 'twist_class_label': '165.6.a.a.1.2', 'twist_class_level': 165, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 44131269
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014398610145775, 'source_is_minimal': False, 'source_label': '495.6.a.e.1.2', 'source_level': 495, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 100663461, 'target_is_minimal': True, 'target_label': '165.6.a.a.1.2', 'target_level': 165, 'twist_class_label': '165.6.a.a.1.2', 'twist_class_level': 165, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 44131270
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014398610145775, 'source_is_minimal': False, 'source_label': '495.6.a.e.1.2', 'source_level': 495, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40532396746998585, 'target_is_minimal': False, 'target_label': '825.6.a.j.1.2', 'target_level': 825, 'twist_class_label': '165.6.a.a.1.2', 'twist_class_level': 165, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 967025
    {'charpoly_factorization': [[[140, -36, -7, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 2}
  • id: 967026
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 18014398610145775, 'p': 3}
  • id: 967027
    {'charpoly_factorization': [[[25, 1], 3]], 'hecke_orbit_code': 18014398610145775, 'p': 5}
  • id: 967028
    {'charpoly_factorization': [[[-382464, 2896, 172, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 7}
  • id: 967029
    {'charpoly_factorization': [[[-121, 1], 3]], 'hecke_orbit_code': 18014398610145775, 'p': 11}
  • id: 967030
    {'charpoly_factorization': [[[-317918392, -558788, 654, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 13}
  • id: 967031
    {'charpoly_factorization': [[[137826264, 495212, -2366, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 17}
  • id: 967032
    {'charpoly_factorization': [[[11543616, 1821408, 2872, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 19}
  • id: 967033
    {'charpoly_factorization': [[[-3706904576, -1259072, 2272, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 23}
  • id: 967034
    {'charpoly_factorization': [[[-5220625848, 14353100, -7738, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 29}
  • id: 967035
    {'charpoly_factorization': [[[-289787904, -1931712, -568, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 31}
  • id: 967036
    {'charpoly_factorization': [[[-129972509048, -54723956, 9126, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 37}
  • id: 967037
    {'charpoly_factorization': [[[1122652557432, -230315700, -8758, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 41}
  • id: 967038
    {'charpoly_factorization': [[[-518908872384, -70310304, 14672, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 43}
  • id: 967039
    {'charpoly_factorization': [[[1508908531200, -35113856, -19392, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 47}
  • id: 967040
    {'charpoly_factorization': [[[-728896505288, -354257972, -4598, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 53}
  • id: 967041
    {'charpoly_factorization': [[[6267836310080, -498483344, -9348, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 59}
  • id: 967042
    {'charpoly_factorization': [[[-13500896397400, 490851628, 60078, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 61}
  • id: 967043
    {'charpoly_factorization': [[[-8479952260160, -183974416, 38468, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 67}
  • id: 967044
    {'charpoly_factorization': [[[17011990639616, 685830592, -74032, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 71}
  • id: 967045
    {'charpoly_factorization': [[[-9750515676328, 111876700, 44442, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 73}
  • id: 967046
    {'charpoly_factorization': [[[9069370346752, 1927505936, 108116, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 79}
  • id: 967047
    {'charpoly_factorization': [[[739830059345664, -9807165024, -81892, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 83}
  • id: 967048
    {'charpoly_factorization': [[[158914472576552, 9085751148, 167342, 1], 1]], 'hecke_orbit_code': 18014398610145775, 'p': 89}
  • id: 967049
    {'charpoly_factorization': [[[352998320493112, 2383543948, -159702, 1], 1]], 'hecke_orbit_code': 18014398610145775, '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': 5, 'label': '495.6.a.e', 'level': 495, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 155549000
    {'hecke_orbit_code': 18014398610145775, 'n': 1, 'trace_an': 3}
  • id: 155549001
    {'hecke_orbit_code': 18014398610145775, 'n': 2, 'trace_an': 7}
  • id: 155549002
    {'hecke_orbit_code': 18014398610145775, 'n': 3, 'trace_an': 0}
  • id: 155549003
    {'hecke_orbit_code': 18014398610145775, 'n': 4, 'trace_an': 25}
  • id: 155549004
    {'hecke_orbit_code': 18014398610145775, 'n': 5, 'trace_an': -75}
  • id: 155549005
    {'hecke_orbit_code': 18014398610145775, 'n': 6, 'trace_an': 0}
  • id: 155549006
    {'hecke_orbit_code': 18014398610145775, 'n': 7, 'trace_an': -172}
  • id: 155549007
    {'hecke_orbit_code': 18014398610145775, 'n': 8, 'trace_an': 231}
  • id: 155549008
    {'hecke_orbit_code': 18014398610145775, 'n': 9, 'trace_an': 0}
  • id: 155549009
    {'hecke_orbit_code': 18014398610145775, 'n': 10, 'trace_an': -175}
  • id: 155549010
    {'hecke_orbit_code': 18014398610145775, 'n': 11, 'trace_an': 363}
  • id: 155549011
    {'hecke_orbit_code': 18014398610145775, 'n': 12, 'trace_an': 0}
  • id: 155549012
    {'hecke_orbit_code': 18014398610145775, 'n': 13, 'trace_an': -654}
  • id: 155549013
    {'hecke_orbit_code': 18014398610145775, 'n': 14, 'trace_an': 728}
  • id: 155549014
    {'hecke_orbit_code': 18014398610145775, 'n': 15, 'trace_an': 0}
  • id: 155549015
    {'hecke_orbit_code': 18014398610145775, 'n': 16, 'trace_an': -415}
  • id: 155549016
    {'hecke_orbit_code': 18014398610145775, 'n': 17, 'trace_an': 2366}
  • id: 155549017
    {'hecke_orbit_code': 18014398610145775, 'n': 18, 'trace_an': 0}
  • id: 155549018
    {'hecke_orbit_code': 18014398610145775, 'n': 19, 'trace_an': -2872}
  • id: 155549019
    {'hecke_orbit_code': 18014398610145775, 'n': 20, 'trace_an': -625}
  • id: 155549020
    {'hecke_orbit_code': 18014398610145775, 'n': 21, 'trace_an': 0}
  • id: 155549021
    {'hecke_orbit_code': 18014398610145775, 'n': 22, 'trace_an': 847}
  • id: 155549022
    {'hecke_orbit_code': 18014398610145775, 'n': 23, 'trace_an': -2272}
  • id: 155549023
    {'hecke_orbit_code': 18014398610145775, 'n': 24, 'trace_an': 0}
  • id: 155549024
    {'hecke_orbit_code': 18014398610145775, 'n': 25, 'trace_an': 1875}
  • id: 155549025
    {'hecke_orbit_code': 18014398610145775, 'n': 26, 'trace_an': -3422}
  • id: 155549026
    {'hecke_orbit_code': 18014398610145775, 'n': 27, 'trace_an': 0}
  • id: 155549027
    {'hecke_orbit_code': 18014398610145775, 'n': 28, 'trace_an': 4592}
  • id: 155549028
    {'hecke_orbit_code': 18014398610145775, 'n': 29, 'trace_an': 7738}
  • id: 155549029
    {'hecke_orbit_code': 18014398610145775, 'n': 30, 'trace_an': 0}
  • id: 155549030
    {'hecke_orbit_code': 18014398610145775, 'n': 31, 'trace_an': 568}
  • id: 155549031
    {'hecke_orbit_code': 18014398610145775, 'n': 32, 'trace_an': -1001}
  • id: 155549032
    {'hecke_orbit_code': 18014398610145775, 'n': 33, 'trace_an': 0}
  • id: 155549033
    {'hecke_orbit_code': 18014398610145775, 'n': 34, 'trace_an': 2506}
  • id: 155549034
    {'hecke_orbit_code': 18014398610145775, 'n': 35, 'trace_an': 4300}
  • id: 155549035
    {'hecke_orbit_code': 18014398610145775, 'n': 36, 'trace_an': 0}
  • id: 155549036
    {'hecke_orbit_code': 18014398610145775, 'n': 37, 'trace_an': -9126}
  • id: 155549037
    {'hecke_orbit_code': 18014398610145775, 'n': 38, 'trace_an': -13076}
  • id: 155549038
    {'hecke_orbit_code': 18014398610145775, 'n': 39, 'trace_an': 0}
  • id: 155549039
    {'hecke_orbit_code': 18014398610145775, 'n': 40, 'trace_an': -5775}
  • id: 155549040
    {'hecke_orbit_code': 18014398610145775, 'n': 41, 'trace_an': 8758}
  • id: 155549041
    {'hecke_orbit_code': 18014398610145775, 'n': 42, 'trace_an': 0}
  • id: 155549042
    {'hecke_orbit_code': 18014398610145775, 'n': 43, 'trace_an': -14672}
  • id: 155549043
    {'hecke_orbit_code': 18014398610145775, 'n': 44, 'trace_an': 3025}
  • id: 155549044
    {'hecke_orbit_code': 18014398610145775, 'n': 45, 'trace_an': 0}
  • id: 155549045
    {'hecke_orbit_code': 18014398610145775, 'n': 46, 'trace_an': -28768}
  • id: 155549046
    {'hecke_orbit_code': 18014398610145775, 'n': 47, 'trace_an': 19392}
  • id: 155549047
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  • id: 155549048
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  • id: 155549049
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  • id: 155549050
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  • id: 155549051
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  • id: 155549052
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  • id: 155549053
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  • id: 155549054
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  • id: 155549055
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  • id: 155549056
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  • id: 155549057
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  • id: 155549058
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  • id: 155549059
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  • id: 155549060
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  • id: 155549061
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  • id: 155549062
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  • id: 155549063
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  • id: 155549064
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  • id: 155549065
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  • id: 155549066
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  • id: 155549067
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  • id: 155549068
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  • id: 155549069
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  • id: 155549070
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  • id: 155549071
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  • id: 155549072
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  • id: 155549073
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  • id: 155549074
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  • id: 155549075
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  • id: 155549076
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  • id: 155549077
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  • id: 155549078
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  • id: 155549079
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  • id: 155549080
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  • id: 155549081
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  • id: 155549082
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  • id: 155549083
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  • id: 155549084
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  • id: 155549085
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  • id: 155549086
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  • id: 155549087
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  • id: 155549088
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  • id: 155549089
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  • id: 155549090
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  • id: 155549091
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  • id: 155549092
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  • id: 155549093
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  • id: 155549094
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  • id: 155549095
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  • id: 155549096
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  • id: 155549097
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  • id: 155549098
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  • id: 155549099
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  • id: 155549100
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  • id: 155549101
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  • id: 155549102
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  • id: 155549103
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  • id: 155549104
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  • id: 155549105
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  • id: 155549106
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  • id: 155549107
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  • id: 155549108
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  • id: 155549109
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  • id: 155549110
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  • id: 155549111
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  • id: 155549112
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  • id: 155549113
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  • id: 155549114
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  • id: 155549115
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  • id: 155549116
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  • id: 155549117
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  • id: 155549118
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  • id: 155549119
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  • id: 155549120
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  • id: 155549121
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  • id: 155549122
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  • id: 155549123
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  • id: 155549124
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  • id: 155549125
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  • id: 155549126
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  • id: 155549127
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  • id: 155549128
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  • id: 155549129
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  • id: 155549130
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  • id: 155549131
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  • id: 155549132
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  • id: 155549133
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  • id: 155549134
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  • id: 155549135
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  • id: 155549136
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  • id: 155549137
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  • id: 155549138
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  • id: 155549139
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  • id: 155549140
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  • id: 155549141
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  • id: 155549142
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  • id: 155549143
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  • id: 155549144
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  • id: 155549145
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  • id: 155549146
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  • id: 155549147
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  • id: 155549148
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  • id: 155549149
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  • id: 155549150
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  • id: 155549151
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  • id: 155549152
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  • id: 155549153
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  • id: 155549154
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  • id: 155549155
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  • id: 155549156
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  • id: 155549157
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  • id: 155549158
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  • id: 155549159
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  • id: 155549160
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  • id: 155549161
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  • id: 155549162
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  • id: 155549163
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  • id: 155549164
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  • id: 155549165
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  • id: 155549166
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  • id: 155549167
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  • id: 155549168
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  • id: 155549169
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  • id: 155549170
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  • id: 155549171
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  • id: 155549172
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  • id: 155549173
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  • id: 155549174
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  • id: 155549175
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  • id: 155549176
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  • id: 155549177
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  • id: 155549178
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  • id: 155549179
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  • id: 155549180
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  • id: 155549181
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  • id: 155549182
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  • id: 155549183
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  • id: 155549184
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  • id: 155549185
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  • id: 155549186
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  • id: 155549187
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  • id: 155549188
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  • id: 155549189
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  • id: 155549190
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  • id: 155549191
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  • id: 155549192
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  • id: 155549193
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  • id: 155549195
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  • id: 155549196
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  • id: 155549197
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  • id: 155549198
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  • id: 155549199
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  • id: 155549200
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  • id: 155549201
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  • id: 155549992
    {'hecke_orbit_code': 18014398610145775, 'n': 993, 'trace_an': 0}
  • id: 155549993
    {'hecke_orbit_code': 18014398610145775, 'n': 994, 'trace_an': 299840}
  • id: 155549994
    {'hecke_orbit_code': 18014398610145775, 'n': 995, 'trace_an': 38555200}
  • id: 155549995
    {'hecke_orbit_code': 18014398610145775, 'n': 996, 'trace_an': 0}
  • id: 155549996
    {'hecke_orbit_code': 18014398610145775, 'n': 997, 'trace_an': 155745954}
  • id: 155549997
    {'hecke_orbit_code': 18014398610145775, 'n': 998, 'trace_an': 51382908}
  • id: 155549998
    {'hecke_orbit_code': 18014398610145775, 'n': 999, 'trace_an': 0}
  • id: 155549999
    {'hecke_orbit_code': 18014398610145775, 'n': 1000, 'trace_an': -3609375}