Embedded newform data - 315.10.a.a.1.1

Formats: - HTML - YAML - JSON - 2026-02-08T11:52:28.058052

• 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
  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_largest	boolean
  is_maximal	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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	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': 31500, 'analytic_conductor': 162.23628839162004, 'analytic_rank': 1, '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': [315, 1, [281, 127, 136], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 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': [[2, [28, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 167772475, '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_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '315.10.a.a', 'level': 315, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 7], 'level_radical': 105, 'minimal_twist': '35.10.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-28q^{2}+272q^{4}-5^{4}q^{5}+7^{4}q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '315.10.a', 'trace_display': [-28, 0, -625, 2401], 'trace_hash': 1858504215663033391, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.003', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.977', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.898', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.623', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, -28, 0, 272, -625, 0, 2401, 6720, 0, 17500, 25548, 0, -42306, -67228, 0, -327424, 526342, 0, -350060, -170000, 0, -715344, 621976, 0, 390625, 1184568, 0, 653072, -6720430, 0, -6412208, 5727232, 0, -14737576, -1500625, 0, -2317682, 9801680, 0, -4200000, 10224678, 0, 30114004, 6949056, 0, -17415328, 23644912, 0, 5764801, -10937500, 0, -11507232, -57292654, 0, -15967500, 16134720, 0, 188172040, -84934780, 0, 14677822, 179541824, 0, 7278592, 26441250, 0, -244557812, 143165024, 0, 42017500, -61901952, 0, -283763726, 64895096, 0, -95216320, 61340748, 0, 276107480, 204640000, 0, -286290984, 72995956, 0, -328963750, -843192112, 0, 171682560, 896368470, 0, -101576706, 169177472, 0, -662057536, 218787500, 0, 1205809578, -161414428, 0, 106250000, 1460213338, 0, 1080085304, -284296320, 0, 1604194312, -335949108, 0, -1425208050, 447090000, 0, -786145024, 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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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-0.27308638839135135, -0.34940469507619115, -0.1847179860855184, -0.23654899735956686, -0.11328725403350053, -0.1284808008525494, -0.12700650405483618, -0.17162498026433548, -0.2697675939076107, -0.3303239315725007, -0.09704252955911834, -0.1484174790198127, -0.20583103543607148, -0.2727032777211612, -0.3437437517930836, -0.12299759551900058, -0.1793261053684489, -0.26393184055098073, -0.23752881934335662, -0.251967880992663, -0.37490816145229416, -0.38230613903346045, -0.3281400074243075, -0.257892966622702, -0.19799142328959166, -0.3255045836432555, -0.19413160960619932, -0.36827877041720564, -0.24766568668782915, -0.1439325891987975, -0.337027484510414, -0.2366230266507008, -0.20581102418025476, -0.39460604280236045, -0.27565063309828186, -0.28240000150383665, -0.42700044126601233, -0.2553650994110825, -0.3190914213455972, -0.2319026687530906, -0.13719560990063245, -0.3956774454037191, -0.3188197464797213, -0.15550752172967944, -0.19799442311772678, -0.3772816342316672, 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-0.3185646242540285, -0.22064215909108525, -0.37602684543890186, -0.3300474863957377, -0.05086629129809579, -0.31886368234190776, -0.2719714240423411, -0.3373074642635175, -0.22039247640330872, -0.23610406158536387, -0.20761437563870982], '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': 1, 'hecke_orbit_code': 167772475, 'label': '315.10.a.a.1.1', 'level': 315, 'weight': 10}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	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

  
  {'ALdims': [10, 8, 10, 8, 14, 13, 12, 15], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [2, 2, 2, 2, 2, 2, 2, 2], 'ALdims_old': [40, 46, 46, 44, 39, 40, 41, 38], 'Nk2': 31500, 'analytic_conductor': 162.23628839162004, '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': [315, 1, [281, 127, 136], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 424, 'dim': 90, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 167772475, 'hecke_orbit_dims': [1, 2, 4, 4, 4, 4, 4, 4, 4, 5, 6, 6, 6, 8, 8, 10, 10], 'label': '315.10.a', 'level': 315, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 7], 'level_radical': 105, 'mf_dim': 440, 'mf_new_dim': 90, 'num_forms': 17, 'plus_dim': 43, 'prim_orbit_index': 1, 'relative_dim': 90, 'sturm_bound': 480, 'trace_bound': 2, 'trace_display': [66, 0, 0, -4802], 'traces': [90, 66, 0, 22186, 0, 0, -4802, 76698, 0, -22500, -194252, 0, 94448, 24010, 0, 4870178, 188620, 0, 862052, 0, 0, 93972, 4747600, 0, 35156250, -14479036, 0, -4057690, -12597232, 0, 11192784, 19017322, 0, -17392424, 6002500, 0, -23085052, 45277444, 0, 7875000, -4691308, 0, 11894504, -132752232, 0, 176241608, 158735344, 0, 518832090, 25781250, 0, -549233784, 31516700, 0, 92205000, 19548942, 0, 271658536, -92275388, 0, 6779968, -844254240, 0, 1251300026, 191385000, 0, 951380128, 300010572, 0, -48020000, 625089960, 0, -866151516, -730647644, 0, 3875616484, 487268544, 0, -1434943932, -504000000, 0, -2126085612, 698057892, 0, 475422500, 227068416, 0, 1181586928, 2610553732, 0, 772824276, -996977152, 0, -2579018852, 1202637500, 0, 1553639348, 380476866, 0, 8666406250, -4079019024, 0, -446033792, -7750960016, 0, 4764924340, 34070376, 0, 5257247784, 2007582500, 0, -4352307106, -685843404, 0, 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0, 3076171875000], 'weight': 10, '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: 446556
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 167772475, 'source_is_minimal': False, 'source_label': '315.10.a.a.1.1', 'source_level': 315, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772475, 'target_is_minimal': False, 'target_label': '315.10.a.a.1.1', 'target_level': 315, 'twist_class_label': '35.10.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 446557
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 167772475, 'source_is_minimal': False, 'source_label': '315.10.a.a.1.1', 'source_level': 315, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772195, 'target_is_minimal': True, 'target_label': '35.10.a.a.1.1', 'target_level': 35, 'twist_class_label': '35.10.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 446558
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 167772475, 'source_is_minimal': False, 'source_label': '315.10.a.a.1.1', 'source_level': 315, 'target_conrey_index': 99, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 68887249071, 'target_is_minimal': False, 'target_label': '175.10.b.a.99.2', 'target_level': 175, 'twist_class_label': '35.10.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 446559
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 167772475, 'source_is_minimal': False, 'source_label': '315.10.a.a.1.1', 'source_level': 315, 'target_conrey_index': 99, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 68887249071, 'target_is_minimal': False, 'target_label': '175.10.b.a.99.1', 'target_level': 175, 'twist_class_label': '35.10.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 10}
  • id: 446560
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 167772475, 'source_is_minimal': False, 'source_label': '315.10.a.a.1.1', 'source_level': 315, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772335, 'target_is_minimal': False, 'target_label': '175.10.a.a.1.1', 'target_level': 175, 'twist_class_label': '35.10.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 10}
  • id: 446561
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 167772475, 'source_is_minimal': False, 'source_label': '315.10.a.a.1.1', 'source_level': 315, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599795142901, 'target_is_minimal': False, 'target_label': '245.10.a.b.1.1', 'target_level': 245, 'twist_class_label': '35.10.a.a.1.1', 'twist_class_level': 35, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 695750
    {'charpoly_factorization': [[[28, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 2}
  • id: 695751
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 3}
  • id: 695752
    {'charpoly_factorization': [[[625, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 5}
  • id: 695753
    {'charpoly_factorization': [[[-2401, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 7}
  • id: 695754
    {'charpoly_factorization': [[[-25548, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 11}
  • id: 695755
    {'charpoly_factorization': [[[42306, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 13}
  • id: 695756
    {'charpoly_factorization': [[[-526342, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 17}
  • id: 695757
    {'charpoly_factorization': [[[350060, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 19}
  • id: 695758
    {'charpoly_factorization': [[[-621976, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 23}
  • id: 695759
    {'charpoly_factorization': [[[6720430, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 29}
  • id: 695760
    {'charpoly_factorization': [[[6412208, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 31}
  • id: 695761
    {'charpoly_factorization': [[[2317682, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 37}
  • id: 695762
    {'charpoly_factorization': [[[-10224678, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 41}
  • id: 695763
    {'charpoly_factorization': [[[-30114004, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 43}
  • id: 695764
    {'charpoly_factorization': [[[-23644912, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 47}
  • id: 695765
    {'charpoly_factorization': [[[57292654, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 53}
  • id: 695766
    {'charpoly_factorization': [[[84934780, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 59}
  • id: 695767
    {'charpoly_factorization': [[[-14677822, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 61}
  • id: 695768
    {'charpoly_factorization': [[[244557812, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 67}
  • id: 695769
    {'charpoly_factorization': [[[61901952, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 71}
  • id: 695770
    {'charpoly_factorization': [[[283763726, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 73}
  • id: 695771
    {'charpoly_factorization': [[[-276107480, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 79}
  • id: 695772
    {'charpoly_factorization': [[[-72995956, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 83}
  • id: 695773
    {'charpoly_factorization': [[[-896368470, 1], 1]], 'hecke_orbit_code': 167772475, 'p': 89}
  • id: 695774
    {'charpoly_factorization': [[[-1205809578, 1], 1]], 'hecke_orbit_code': 167772475, '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': 1, 'label': '315.10.a.a', 'level': 315, 'portrait': 'data:image/png;base64,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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 3746676
    {'hecke_orbit_code': 167772475, 'n': 1, 'trace_an': 1}
  • id: 3746677
    {'hecke_orbit_code': 167772475, 'n': 2, 'trace_an': -28}
  • id: 3746678
    {'hecke_orbit_code': 167772475, 'n': 3, 'trace_an': 0}
  • id: 3746679
    {'hecke_orbit_code': 167772475, 'n': 4, 'trace_an': 272}
  • id: 3746680
    {'hecke_orbit_code': 167772475, 'n': 5, 'trace_an': -625}
  • id: 3746681
    {'hecke_orbit_code': 167772475, 'n': 6, 'trace_an': 0}
  • id: 3746682
    {'hecke_orbit_code': 167772475, 'n': 7, 'trace_an': 2401}
  • id: 3746683
    {'hecke_orbit_code': 167772475, 'n': 8, 'trace_an': 6720}
  • id: 3746684
    {'hecke_orbit_code': 167772475, 'n': 9, 'trace_an': 0}
  • id: 3746685
    {'hecke_orbit_code': 167772475, 'n': 10, 'trace_an': 17500}
  • id: 3746686
    {'hecke_orbit_code': 167772475, 'n': 11, 'trace_an': 25548}
  • id: 3746687
    {'hecke_orbit_code': 167772475, 'n': 12, 'trace_an': 0}
  • id: 3746688
    {'hecke_orbit_code': 167772475, 'n': 13, 'trace_an': -42306}
  • id: 3746689
    {'hecke_orbit_code': 167772475, 'n': 14, 'trace_an': -67228}
  • id: 3746690
    {'hecke_orbit_code': 167772475, 'n': 15, 'trace_an': 0}
  • id: 3746691
    {'hecke_orbit_code': 167772475, 'n': 16, 'trace_an': -327424}
  • id: 3746692
    {'hecke_orbit_code': 167772475, 'n': 17, 'trace_an': 526342}
  • id: 3746693
    {'hecke_orbit_code': 167772475, 'n': 18, 'trace_an': 0}
  • id: 3746694
    {'hecke_orbit_code': 167772475, 'n': 19, 'trace_an': -350060}
  • id: 3746695
    {'hecke_orbit_code': 167772475, 'n': 20, 'trace_an': -170000}
  • id: 3746696
    {'hecke_orbit_code': 167772475, 'n': 21, 'trace_an': 0}
  • id: 3746697
    {'hecke_orbit_code': 167772475, 'n': 22, 'trace_an': -715344}
  • id: 3746698
    {'hecke_orbit_code': 167772475, 'n': 23, 'trace_an': 621976}
  • id: 3746699
    {'hecke_orbit_code': 167772475, 'n': 24, 'trace_an': 0}
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  • id: 3746703
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  • id: 3746706
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  • id: 3746710
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  • id: 3746711
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  • id: 3746712
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  • id: 3746713
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  • id: 3746714
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  • id: 3746715
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  • id: 3746716
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  • id: 3746717
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  • id: 3746718
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  • id: 3746719
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  • id: 3746720
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  • id: 3746721
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  • id: 3746722
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  • id: 3746723
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  • id: 3746724
    {'hecke_orbit_code': 167772475, 'n': 49, 'trace_an': 5764801}
  • id: 3746725
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  • id: 3746726
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  • id: 3746727
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  • id: 3746728
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  • id: 3746729
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  • id: 3746730
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  • id: 3746731
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  • id: 3746732
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  • id: 3746733
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  • id: 3746738
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  • id: 3746741
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  • id: 3746742
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  • id: 3746744
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  • id: 3746745
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  • id: 3746766
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  • id: 3746772
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  • id: 3746775
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  • id: 3746776
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  • id: 3746789
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  • id: 3746811
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  • id: 3746812
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  • id: 3746813
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  • id: 3746816
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  • id: 3746817
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  • id: 3746821
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  • id: 3746822
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  • id: 3746828
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    {'hecke_orbit_code': 167772475, 'n': 769, 'trace_an': -4970519652910}
  • id: 3746900
    {'hecke_orbit_code': 167772475, 'n': 773, 'trace_an': -11156469169734}
  • id: 3746901
    {'hecke_orbit_code': 167772475, 'n': 787, 'trace_an': -6237630464372}
  • id: 3746902
    {'hecke_orbit_code': 167772475, 'n': 797, 'trace_an': 1837992379602}
  • id: 3746903
    {'hecke_orbit_code': 167772475, 'n': 809, 'trace_an': -19220546703690}
  • id: 3746904
    {'hecke_orbit_code': 167772475, 'n': 811, 'trace_an': -17031631065108}
  • id: 3746905
    {'hecke_orbit_code': 167772475, 'n': 821, 'trace_an': -13348486863462}
  • id: 3746906
    {'hecke_orbit_code': 167772475, 'n': 823, 'trace_an': -17285784001096}
  • id: 3746907
    {'hecke_orbit_code': 167772475, 'n': 827, 'trace_an': -16465102143348}
  • id: 3746908
    {'hecke_orbit_code': 167772475, 'n': 829, 'trace_an': -5917861780770}
  • id: 3746909
    {'hecke_orbit_code': 167772475, 'n': 839, 'trace_an': -24038043287160}
  • id: 3746910
    {'hecke_orbit_code': 167772475, 'n': 841, 'trace_an': 30657033409031}
  • id: 3746911
    {'hecke_orbit_code': 167772475, 'n': 853, 'trace_an': 22644616125414}
  • id: 3746912
    {'hecke_orbit_code': 167772475, 'n': 857, 'trace_an': 12022330618542}
  • id: 3746913
    {'hecke_orbit_code': 167772475, 'n': 859, 'trace_an': -9442583753140}
  • id: 3746914
    {'hecke_orbit_code': 167772475, 'n': 863, 'trace_an': -8803796943024}
  • id: 3746915
    {'hecke_orbit_code': 167772475, 'n': 877, 'trace_an': 6735131900198}
  • id: 3746916
    {'hecke_orbit_code': 167772475, 'n': 881, 'trace_an': 7584736297278}
  • id: 3746917
    {'hecke_orbit_code': 167772475, 'n': 883, 'trace_an': -17823441166196}
  • id: 3746918
    {'hecke_orbit_code': 167772475, 'n': 887, 'trace_an': 24517675485752}
  • id: 3746919
    {'hecke_orbit_code': 167772475, 'n': 907, 'trace_an': -8142312182012}
  • id: 3746920
    {'hecke_orbit_code': 167772475, 'n': 911, 'trace_an': 12696510319608}
  • id: 3746921
    {'hecke_orbit_code': 167772475, 'n': 919, 'trace_an': -25357535942640}
  • id: 3746922
    {'hecke_orbit_code': 167772475, 'n': 929, 'trace_an': -18961075181410}
  • id: 3746923
    {'hecke_orbit_code': 167772475, 'n': 937, 'trace_an': 8655585863458}
  • id: 3746924
    {'hecke_orbit_code': 167772475, 'n': 941, 'trace_an': -34233579327822}
  • id: 3746925
    {'hecke_orbit_code': 167772475, 'n': 947, 'trace_an': -23859731716268}
  • id: 3746926
    {'hecke_orbit_code': 167772475, 'n': 953, 'trace_an': 48348073880246}
  • id: 3746927
    {'hecke_orbit_code': 167772475, 'n': 961, 'trace_an': 14676789274593}
  • id: 3746928
    {'hecke_orbit_code': 167772475, 'n': 967, 'trace_an': -22802506810952}
  • id: 3746929
    {'hecke_orbit_code': 167772475, 'n': 971, 'trace_an': -7623848664332}
  • id: 3746930
    {'hecke_orbit_code': 167772475, 'n': 977, 'trace_an': -29701755754418}
  • id: 3746931
    {'hecke_orbit_code': 167772475, 'n': 983, 'trace_an': 10829164339336}
  • id: 3746932
    {'hecke_orbit_code': 167772475, 'n': 991, 'trace_an': 5295137796312}
  • id: 3746933
    {'hecke_orbit_code': 167772475, 'n': 997, 'trace_an': 16421422524998}