Embedded newform data - 528.4.a.h.1.1

Formats: - HTML - YAML - JSON - 2023-12-07T20:02:42.522034

• 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': 8448, 'analytic_conductor': 31.153008483031044, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [11, 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': [528, 1, [463, 133, 353, 145], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [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': 0, 'hecke_cutters': [[5, [4, 1]], [7, [-26, 1]]], 'hecke_orbit': 8, 'hecke_orbit_code': 31525197458702864, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], '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': '528.4.a.h', 'level': 528, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 11], 'level_radical': 66, 'minimal_twist': '33.4.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+3q^{3}-4q^{5}+26q^{7}+9q^{9}-11q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '528.4.a', 'trace_display': [0, 3, -4, 26], 'trace_hash': 2020300756437220773, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.015', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.968', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.037', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.948', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.119', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.899', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [1, 0, 3, 0, -4, 0, 26, 0, 9, 0, -11, 0, -32, 0, -12, 0, 74, 0, 60, 0, 78, 0, 182, 0, -109, 0, 27, 0, -90, 0, 8, 0, -33, 0, -104, 0, -66, 0, -96, 0, 422, 0, -408, 0, -36, 0, 506, 0, 333, 0, 222, 0, 348, 0, 44, 0, 180, 0, 200, 0, 132, 0, 234, 0, 128, 0, 1036, 0, 546, 0, -762, 0, -542, 0, -327, 0, -286, 0, 550, 0, 81, 0, 132, 0, -296, 0, -270, 0, 570, 0, -832, 0, 24, 0, -240, 0, 14, 0, -99, 0, 1702, 0, 1132, 0, -312, 0, -564, 0, -320, 0, -198, 0, -2142, 0, -728, 0, -288, 0, 1924, 0, 121, 0, 1266, 0, 936, 0, 1606, 0, -1224, 0, 1908, 0, 1560, 0, -108, 0, -2186, 0, -2740, 0, 1518, 0, 352, 0, 360, 0, 999, 0, -1310, 0, 1198, 0, 666, 0, -32, 0, 2114, 0, 1044, 0, 4732, 0, -3868, 0, 132, 0, -2004, 0, -1173, 0, 540, 0, 678, 0, -2834, 0, 600, 0, 1680, 0, -4358, 0, 396, 0, 264, 0, -814, 0, 702, 0, 1778, 0, -3962, 0, 384, 0, 374, 0, -2100, 0, 3108, 0, -2340, 0, -1688, 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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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'angles': [None, None, -0.2786245735243501, -0.12616006253845133, None, -0.3054427403635373, -0.16149510119243068, -0.19100682966820767, -0.09558982995656785, -0.29651974512975887, -0.2463112734241697, -0.27342071048823213, -0.10142456469760534, -0.3787296669869303, -0.1062831033619212, -0.1755413294052373, -0.21458957714794877, -0.22788085745696154, -0.05325703799057606, -0.3598815655164853, -0.3215366059621585, -0.18595315233577853, -0.23609087209850538, -0.194881642587052, -0.24883382304118054, -0.09174782731575193, -0.15893724647344523, -0.2910023093510462, -0.2724513107543261, -0.4252095815153181, -0.1551966826503619, -0.14023822204009367, -0.36936109790781485, -0.4075514419321822, -0.30863420058520974, -0.19768445523481498, -0.15972012457339008, -0.43981197079596196, -0.3268459349867149, -0.22620035595521834, -0.19296306359428725, -0.42635081484030146, -0.19533035869332452, -0.3823122829592672, -0.23922805756544818, -0.31101262882101993, -0.3093145237985117, -0.3017591359381684, 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-0.23838507239499315, -0.28664741793794307, -0.19529845585084932, -0.33003569021527235, -0.4190166288965479, -0.1950489052533087, -0.35643393687647096, -0.39122116771281457, -0.24677573841452827, -0.29805478836732363, -0.17800418164115178, -0.3103452321933632, -0.21560747080072284, -0.40492408814819814, -0.40826061730919927, -0.20507402243577877, -0.2826484776536466, -0.15089033029153853, -0.27790413290138394, -0.2427691757707562, -0.1300848583987166, -0.1349758126913782, -0.25294822384091503, -0.24555992742235672, -0.3700589218420899, -0.25252532301895436, -0.38682410399480577, -0.09927803827060065], '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': 0.0, 'hecke_orbit': 8, 'hecke_orbit_code': 31525197458702864, 'label': '528.4.a.h.1.1', 'level': 528, '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], [11, 1]], 4, 3], [[[2, -1], [3, -1], [11, -1]], 3, 2], [[[2, 1], [3, -1], [11, -1]], 5, 2], [[[2, -1], [3, -1], [11, 1]], 4, 4], [[[2, -1], [3, 1], [11, 1]], 3, 2], [[[2, -1], [3, 1], [11, -1]], 4, 3], [[[2, 1], [3, 1], [11, -1]], 3, 2], [[[2, 1], [3, 1], [11, 1]], 4, 2]], 'ALdims': [4, 3, 4, 5, 3, 4, 4, 3], 'Nk2': 8448, 'analytic_conductor': 31.153008483031044, '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': [528, 1, [463, 133, 353, 145], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 276, 'dim': 30, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7], 'hecke_orbit_code': 67109392, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3], 'label': '528.4.a', 'level': 528, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 11], 'level_radical': 66, 'mf_dim': 300, 'mf_new_dim': 30, 'num_forms': 20, 'plus_dim': 17, 'prim_orbit_index': 1, 'relative_dim': 30, 'sturm_bound': 384, 'trace_bound': 7, 'trace_display': [0, 6, -4, -36], 'traces': [30, 0, 6, 0, -4, 0, -36, 0, 270, 0, 0, 0, 92, 0, -60, 0, 52, 0, -204, 0, 0, 0, 0, 0, 706, 0, 54, 0, 284, 0, -48, 0, 0, 0, -456, 0, -132, 0, -420, 0, -236, 0, -84, 0, -36, 0, 408, 0, 1830, 0, 744, 0, 572, 0, -440, 0, 168, 0, -688, 0, 1068, 0, -324, 0, 696, 0, 1896, 0, 528, 0, 1208, 0, 524, 0, 1050, 0, 0, 0, 3180, 0, 2430, 0, 456, 0, 1160, 0, 0, 0, -900, 0, 3128, 0, 0, 0, 7656, 0, -2188, 0, 0, 0, -1940, 0, -4232, 0, 0, 0, -1576, 0, -2852, 0, -2700, 0, -1764, 0, 1872, 0, 828, 0, 4936, 0, 3630, 0, 0, 0, 6744, 0, -3924, 0, -1560, 0, 6672, 0, 3624, 0, -540, 0, -5172, 0, -4060, 0, -3768, 0, 0, 0, -6504, 0, 246, 0, 972, 0, 3420, 0, 468, 0, -928, 0, -1084, 0, 156, 0, -1952, 0, -1152, 0, 0, 0, 1592, 0, 1426, 0, -1836, 0, -260, 0, 1476, 0, -2256, 0, -936, 0, -1868, 0, 1092, 0, -7592, 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: 46167727
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31525197458702864, 'source_is_minimal': False, 'source_label': '528.4.a.h.1.1', 'source_level': 528, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197458702864, 'target_is_minimal': False, 'target_label': '528.4.a.h.1.1', 'target_level': 528, 'twist_class_label': '33.4.a.b.1.1', 'twist_class_level': 33, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 46167728
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31525197458702864, 'source_is_minimal': False, 'source_label': '528.4.a.h.1.1', 'source_level': 528, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595968185904, 'target_is_minimal': False, 'target_label': '1584.4.a.l.1.1', 'target_level': 1584, 'twist_class_label': '33.4.a.b.1.1', 'twist_class_level': 33, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 46167729
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31525197458702864, 'source_is_minimal': False, 'source_label': '528.4.a.h.1.1', 'source_level': 528, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599694479393, 'target_is_minimal': True, 'target_label': '33.4.a.b.1.1', 'target_level': 33, 'twist_class_label': '33.4.a.b.1.1', 'twist_class_level': 33, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 46167730
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31525197458702864, 'source_is_minimal': False, 'source_label': '528.4.a.h.1.1', 'source_level': 528, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 90071992614520896, 'target_is_minimal': False, 'target_label': '2112.4.a.u.1.1', 'target_level': 2112, 'twist_class_label': '33.4.a.b.1.1', 'twist_class_level': 33, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 46167731
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31525197458702864, 'source_is_minimal': False, 'source_label': '528.4.a.h.1.1', 'source_level': 528, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197458704448, 'target_is_minimal': False, 'target_label': '2112.4.a.h.1.1', 'target_level': 2112, 'twist_class_label': '33.4.a.b.1.1', 'twist_class_level': 33, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 46167732
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31525197458702864, 'source_is_minimal': False, 'source_label': '528.4.a.h.1.1', 'source_level': 528, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67108963, 'target_is_minimal': False, 'target_label': '99.4.a.a.1.1', 'target_level': 99, 'twist_class_label': '33.4.a.b.1.1', 'twist_class_level': 33, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 46167733
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31525197458702864, 'source_is_minimal': False, 'source_label': '528.4.a.h.1.1', 'source_level': 528, 'target_conrey_index': 199, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22518135642915641, 'target_is_minimal': False, 'target_label': '825.4.c.f.199.2', 'target_level': 825, 'twist_class_label': '33.4.a.b.1.1', 'twist_class_level': 33, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 46167734
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31525197458702864, 'source_is_minimal': False, 'source_label': '528.4.a.h.1.1', 'source_level': 528, 'target_conrey_index': 199, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518135642915641, 'target_is_minimal': False, 'target_label': '825.4.c.f.199.1', 'target_level': 825, 'twist_class_label': '33.4.a.b.1.1', 'twist_class_level': 33, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 4}
  • id: 46167735
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31525197458702864, 'source_is_minimal': False, 'source_label': '528.4.a.h.1.1', 'source_level': 528, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998203962169, 'target_is_minimal': False, 'target_label': '825.4.a.f.1.1', 'target_level': 825, 'twist_class_label': '33.4.a.b.1.1', 'twist_class_level': 33, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 4}
  • id: 46167736
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31525197458702864, 'source_is_minimal': False, 'source_label': '528.4.a.h.1.1', 'source_level': 528, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798949221969, 'target_is_minimal': False, 'target_label': '1617.4.a.d.1.1', 'target_level': 1617, 'twist_class_label': '33.4.a.b.1.1', 'twist_class_level': 33, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 4}
  • id: 46167737
    {'conductor': 44, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31525197458702864, 'source_is_minimal': False, 'source_label': '528.4.a.h.1.1', 'source_level': 528, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798949220715, 'target_is_minimal': False, 'target_label': '363.4.a.d.1.1', 'target_level': 363, 'twist_class_label': '33.4.a.b.1.1', 'twist_class_level': 33, 'twisting_char_label': '44.43', 'twisting_conrey_index': 43, 'weight': 4}
  • id: 46167738
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31525197458702864, 'source_is_minimal': False, 'source_label': '528.4.a.h.1.1', 'source_level': 528, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398576593323, 'target_is_minimal': False, 'target_label': '2475.4.a.e.1.1', 'target_level': 2475, 'twist_class_label': '33.4.a.b.1.1', 'twist_class_level': 33, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 4}
  • id: 46167739
    {'conductor': 132, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31525197458702864, 'source_is_minimal': False, 'source_label': '528.4.a.h.1.1', 'source_level': 528, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398576591937, 'target_is_minimal': False, 'target_label': '1089.4.a.e.1.1', 'target_level': 1089, 'twist_class_label': '33.4.a.b.1.1', 'twist_class_level': 33, 'twisting_char_label': '132.131', 'twisting_conrey_index': 131, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 672150
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 2}
  • id: 672151
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 3}
  • id: 672152
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 5}
  • id: 672153
    {'charpoly_factorization': [[[-26, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 7}
  • id: 672154
    {'charpoly_factorization': [[[11, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 11}
  • id: 672155
    {'charpoly_factorization': [[[32, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 13}
  • id: 672156
    {'charpoly_factorization': [[[-74, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 17}
  • id: 672157
    {'charpoly_factorization': [[[-60, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 19}
  • id: 672158
    {'charpoly_factorization': [[[-182, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 23}
  • id: 672159
    {'charpoly_factorization': [[[90, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 29}
  • id: 672160
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 31}
  • id: 672161
    {'charpoly_factorization': [[[66, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 37}
  • id: 672162
    {'charpoly_factorization': [[[-422, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 41}
  • id: 672163
    {'charpoly_factorization': [[[408, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 43}
  • id: 672164
    {'charpoly_factorization': [[[-506, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 47}
  • id: 672165
    {'charpoly_factorization': [[[-348, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 53}
  • id: 672166
    {'charpoly_factorization': [[[-200, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 59}
  • id: 672167
    {'charpoly_factorization': [[[-132, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 61}
  • id: 672168
    {'charpoly_factorization': [[[-1036, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 67}
  • id: 672169
    {'charpoly_factorization': [[[762, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 71}
  • id: 672170
    {'charpoly_factorization': [[[542, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 73}
  • id: 672171
    {'charpoly_factorization': [[[-550, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 79}
  • id: 672172
    {'charpoly_factorization': [[[-132, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 83}
  • id: 672173
    {'charpoly_factorization': [[[-570, 1], 1]], 'hecke_orbit_code': 31525197458702864, 'p': 89}
  • id: 672174
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 31525197458702864, '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': 8, 'label': '528.4.a.h', 'level': 528, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 190678000
    {'hecke_orbit_code': 31525197458702864, 'n': 1, 'trace_an': 1}
  • id: 190678001
    {'hecke_orbit_code': 31525197458702864, 'n': 2, 'trace_an': 0}
  • id: 190678002
    {'hecke_orbit_code': 31525197458702864, 'n': 3, 'trace_an': 3}
  • id: 190678003
    {'hecke_orbit_code': 31525197458702864, 'n': 4, 'trace_an': 0}
  • id: 190678004
    {'hecke_orbit_code': 31525197458702864, 'n': 5, 'trace_an': -4}
  • id: 190678005
    {'hecke_orbit_code': 31525197458702864, 'n': 6, 'trace_an': 0}
  • id: 190678006
    {'hecke_orbit_code': 31525197458702864, 'n': 7, 'trace_an': 26}
  • id: 190678007
    {'hecke_orbit_code': 31525197458702864, 'n': 8, 'trace_an': 0}
  • id: 190678008
    {'hecke_orbit_code': 31525197458702864, 'n': 9, 'trace_an': 9}
  • id: 190678009
    {'hecke_orbit_code': 31525197458702864, 'n': 10, 'trace_an': 0}
  • id: 190678010
    {'hecke_orbit_code': 31525197458702864, 'n': 11, 'trace_an': -11}
  • id: 190678011
    {'hecke_orbit_code': 31525197458702864, 'n': 12, 'trace_an': 0}
  • id: 190678012
    {'hecke_orbit_code': 31525197458702864, 'n': 13, 'trace_an': -32}
  • id: 190678013
    {'hecke_orbit_code': 31525197458702864, 'n': 14, 'trace_an': 0}
  • id: 190678014
    {'hecke_orbit_code': 31525197458702864, 'n': 15, 'trace_an': -12}
  • id: 190678015
    {'hecke_orbit_code': 31525197458702864, 'n': 16, 'trace_an': 0}
  • id: 190678016
    {'hecke_orbit_code': 31525197458702864, 'n': 17, 'trace_an': 74}
  • id: 190678017
    {'hecke_orbit_code': 31525197458702864, 'n': 18, 'trace_an': 0}
  • id: 190678018
    {'hecke_orbit_code': 31525197458702864, 'n': 19, 'trace_an': 60}
  • id: 190678019
    {'hecke_orbit_code': 31525197458702864, 'n': 20, 'trace_an': 0}
  • id: 190678020
    {'hecke_orbit_code': 31525197458702864, 'n': 21, 'trace_an': 78}
  • id: 190678021
    {'hecke_orbit_code': 31525197458702864, 'n': 22, 'trace_an': 0}
  • id: 190678022
    {'hecke_orbit_code': 31525197458702864, 'n': 23, 'trace_an': 182}
  • id: 190678023
    {'hecke_orbit_code': 31525197458702864, 'n': 24, 'trace_an': 0}
  • id: 190678024
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  • id: 190678025
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  • id: 190678026
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  • id: 190678027
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  • id: 190678028
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  • id: 190678029
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  • id: 190678030
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  • id: 190678031
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  • id: 190678032
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  • id: 190678033
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  • id: 190678034
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  • id: 190678035
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  • id: 190678036
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  • id: 190678037
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  • id: 190678038
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  • id: 190678039
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  • id: 190678040
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  • id: 190678041
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  • id: 190678042
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  • id: 190678043
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  • id: 190678044
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  • id: 190678045
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  • id: 190678046
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  • id: 190678047
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  • id: 190678048
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  • id: 190678049
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  • id: 190678050
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  • id: 190678051
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  • id: 190678052
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  • id: 190678053
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  • id: 190678054
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  • id: 190678055
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  • id: 190678056
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  • id: 190678057
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  • id: 190678058
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  • id: 190678059
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  • id: 190678060
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  • id: 190678061
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  • id: 190678062
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  • id: 190678063
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  • id: 190678064
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  • id: 190678065
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  • id: 190678066
    {'hecke_orbit_code': 31525197458702864, 'n': 67, 'trace_an': 1036}
  • id: 190678067
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  • id: 190678068
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  • id: 190678069
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  • id: 190678070
    {'hecke_orbit_code': 31525197458702864, 'n': 71, 'trace_an': -762}
  • id: 190678071
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  • id: 190678072
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  • id: 190678073
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  • id: 190678074
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  • id: 190678075
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  • id: 190678076
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  • id: 190678077
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  • id: 190678078
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  • id: 190678079
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  • id: 190678080
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  • id: 190678081
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  • id: 190678082
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  • id: 190678083
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  • id: 190678084
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  • id: 190678085
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  • id: 190678086
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  • id: 190678087
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  • id: 190678088
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  • id: 190678089
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  • id: 190678090
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  • id: 190678091
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  • id: 190678092
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  • id: 190678093
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  • id: 190678094
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  • id: 190678095
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  • id: 190678096
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  • id: 190678097
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  • id: 190678098
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  • id: 190678099
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  • id: 190678100
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  • id: 190678101
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  • id: 190678102
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  • id: 190678103
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  • id: 190678104
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  • id: 190678105
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  • id: 190678106
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  • id: 190678107
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  • id: 190678108
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  • id: 190678109
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  • id: 190678110
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  • id: 190678111
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  • id: 190678112
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  • id: 190678113
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  • id: 190678114
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  • id: 190678115
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  • id: 190678116
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  • id: 190678117
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  • id: 190678118
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  • id: 190678119
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  • id: 190678120
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  • id: 190678121
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  • id: 190678122
    {'hecke_orbit_code': 31525197458702864, 'n': 123, 'trace_an': 1266}
  • id: 190678123
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  • id: 190678124
    {'hecke_orbit_code': 31525197458702864, 'n': 125, 'trace_an': 936}
  • id: 190678125
    {'hecke_orbit_code': 31525197458702864, 'n': 126, 'trace_an': 0}
  • id: 190678126
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  • id: 190678127
    {'hecke_orbit_code': 31525197458702864, 'n': 128, 'trace_an': 0}
  • id: 190678128
    {'hecke_orbit_code': 31525197458702864, 'n': 129, 'trace_an': -1224}
  • id: 190678129
    {'hecke_orbit_code': 31525197458702864, 'n': 130, 'trace_an': 0}
  • id: 190678130
    {'hecke_orbit_code': 31525197458702864, 'n': 131, 'trace_an': 1908}
  • id: 190678131
    {'hecke_orbit_code': 31525197458702864, 'n': 132, 'trace_an': 0}
  • id: 190678132
    {'hecke_orbit_code': 31525197458702864, 'n': 133, 'trace_an': 1560}
  • id: 190678133
    {'hecke_orbit_code': 31525197458702864, 'n': 134, 'trace_an': 0}
  • id: 190678134
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  • id: 190678135
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  • id: 190678136
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  • id: 190678137
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  • id: 190678138
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  • id: 190678139
    {'hecke_orbit_code': 31525197458702864, 'n': 140, 'trace_an': 0}
  • id: 190678140
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  • id: 190678141
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  • id: 190678142
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  • id: 190678143
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  • id: 190678144
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  • id: 190678145
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  • id: 190678146
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  • id: 190678147
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  • id: 190678148
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  • id: 190678149
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  • id: 190678150
    {'hecke_orbit_code': 31525197458702864, 'n': 151, 'trace_an': 1198}
  • id: 190678151
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  • id: 190678152
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  • id: 190678153
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  • id: 190678154
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  • id: 190678155
    {'hecke_orbit_code': 31525197458702864, 'n': 156, 'trace_an': 0}
  • id: 190678156
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  • id: 190678157
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  • id: 190678158
    {'hecke_orbit_code': 31525197458702864, 'n': 159, 'trace_an': 1044}
  • id: 190678159
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  • id: 190678160
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  • id: 190678161
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  • id: 190678162
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  • id: 190678163
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  • id: 190678164
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  • id: 190678165
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  • id: 190678166
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  • id: 190678167
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  • id: 190678168
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  • id: 190678169
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  • id: 190678170
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  • id: 190678171
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  • id: 190678172
    {'hecke_orbit_code': 31525197458702864, 'n': 173, 'trace_an': 678}
  • id: 190678173
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  • id: 190678174
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  • id: 190678175
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  • id: 190678176
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  • id: 190678177
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  • id: 190678178
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  • id: 190678179
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  • id: 190678180
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  • id: 190678181
    {'hecke_orbit_code': 31525197458702864, 'n': 182, 'trace_an': 0}
  • id: 190678182
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  • id: 190678183
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  • id: 190678184
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  • id: 190678185
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  • id: 190678186
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  • id: 190678187
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  • id: 190678188
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  • id: 190678189
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  • id: 190678190
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  • id: 190678191
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  • id: 190678192
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  • id: 190678193
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  • id: 190678194
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  • id: 190678195
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  • id: 190678196
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  • id: 190678197
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  • id: 190678198
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  • id: 190678199
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  • id: 190678200
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  • id: 190678201
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  • id: 190678202
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  • id: 190678203
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  • id: 190678204
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  • id: 190678205
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  • id: 190678206
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  • id: 190678207
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  • id: 190678208
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  • id: 190678209
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  • id: 190678210
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  • id: 190678211
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  • id: 190678212
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  • id: 190678213
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  • id: 190678214
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  • id: 190678215
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  • id: 190678216
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  • id: 190678217
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  • id: 190678218
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  • id: 190678219
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  • id: 190678220
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  • id: 190678221
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  • id: 190678222
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  • id: 190678223
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  • id: 190678228
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  • id: 190678230
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  • id: 190678330
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  • id: 190678422
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  • id: 190678521
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  • id: 190678522
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  • id: 190678528
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  • id: 190678811
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  • id: 190678812
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  • id: 190678814
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  • id: 190678816
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  • id: 190678817
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  • id: 190678818
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  • id: 190678819
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  • id: 190678820
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  • id: 190678821
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  • id: 190678822
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  • id: 190678823
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  • id: 190678824
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  • id: 190678825
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  • id: 190678826
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  • id: 190678827
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  • id: 190678828
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  • id: 190678900
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  • id: 190678902
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  • id: 190678906
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  • id: 190678908
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  • id: 190678910
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  • id: 190678911
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  • id: 190678912
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  • id: 190678913
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  • id: 190678914
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  • id: 190678915
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  • id: 190678916
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  • id: 190678917
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  • id: 190678918
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  • id: 190678919
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  • id: 190678920
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  • id: 190678921
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  • id: 190678922
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  • id: 190678924
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  • id: 190678926
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  • id: 190678927
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  • id: 190678928
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    {'hecke_orbit_code': 31525197458702864, 'n': 1000, 'trace_an': 0}