Embedded newform data - 650.6.a.j.1.3

Formats: - HTML - YAML - JSON - 2025-01-21T08:29:21.518034

• 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': 23400, 'analytic_conductor': 104.2494828784374, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, 1], [13, 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': [650, 1, [27, 301], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 1458804, 'field_disc_factorization': [[2, 2], [3, 1], [17, 1], [7151, 1]], 'field_poly': [-1139, -361, -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': [[3, [996, -200, -22, 1]]], 'hecke_orbit': 10, 'hecke_orbit_code': 40532396746998410, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], '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': '650.6.a.j', 'level': 650, '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': [2, 5, 13], 'level_radical': 130, 'minimal_twist': '130.6.a.f', 'nf_label': '3.3.1458804.1', 'prim_orbit_index': 1, 'qexp_display': 'q+4q^{2}+(7+\\beta _{1})q^{3}+2^{4}q^{4}+(28+4\\beta _{1}+\\cdots)q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '650.6.a', 'trace_display': [12, 22, 0, 234], 'trace_hash': 274900290569089354, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.024', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.874', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.744', 'prec': 17}, {'__RealLiteral__': 0, 'data': '23.103', 'prec': 20}, {'__RealLiteral__': 0, 'data': '10.472', 'prec': 20}, {'__RealLiteral__': 0, 'data': '276.492', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [3, 12, 22, 48, 0, 88, 234, 192, 155, 0, 48, 352, -507, 936, 0, 768, -1506, 620, -360, 0, 6904, 192, 2370, 1408, 0, -2028, 10168, 3744, -3078, 0, -5388, 3072, 22572, -6024, 0, 2480, 25362, -1440, -3718, 0, -15906, 27616, 39306, 768, 0, 9480, 17778, 5632, 7767, 0, -33972, -8112, -9246, 40672, 0, 14976, 2996, -12312, -77760, 0, 17982, -21552, 128762, 12288, 0, 90288, 2922, -24096, -31860, 0, -4944, 9920, -43278, 101448, 0, -5760, 144420, -14872, 42120, 0, 146519, -63624, -58098, 110464, 0, 157224, -2016, 3072, 19614, 0, -39546, 37920, -162796, 71112, 0, 22528, 87078, 31068, 350340, 0, -31902, -135888, -120786, -32448, 0, -36984, 539454, 162688, 187602, 0, 373120, 59904, -84114, 11984, 0, 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• mf_hecke_cc •

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

  
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-0.3289237383335013, -0.2773193457949143, -0.11987777834347725, -0.2170775811509163, -0.3946510308683282, -0.2549361468782606, -0.19957615990600977, -0.337907403086251, -0.3506184056272624, -0.1574034446553632, -0.4424816199595469, -0.18723334456082596, -0.2731717218133265, -0.26938535477236203, -0.31313227435645963, -0.3040100081648834, -0.34100458869002825, -0.18054636535174676, -0.2917605201729976, -0.2351795715824508, -0.3050562156938413, -0.15641583828538166, -0.3372940783879773, -0.2504707930629815, -0.2704393513703248, -0.43385236929487264, -0.18963080870241547, -0.3527441817920362, -0.35515853734143304, -0.12660015093020205, -0.09337477833846536, -0.2062094369969527, -0.1353194823115622, -0.18146391115116073, -0.29956269563065013, -0.17519047453778724, -0.08848117442446667, -0.06597725143450775, -0.2886044010749178, -0.35814878866351, -0.12191517024351274, -0.19877113734538712, -0.3699278557798412, -0.3291401932514485, -0.12671189120153353, -0.18021333825274746, -0.35011126939924475, -0.25501464066372687, -0.08302537241175746, -0.19513379368851452, -0.13390965714851946, -0.2555256716017997, -0.31881966746296064, -0.2960877895259422, -0.1639755716140276, -0.2980127419843972, -0.24641840025908882, -0.221464137359713, -0.30654596039749427, -0.25673738189799833, -0.40216244188649014, -0.2542953384702306, -0.18419945595115148, -0.4090057215366671, -0.26596752878918833, -0.2654852651737208, -0.14313312614541013, -0.26918309703028154, -0.15234872525942214, -0.23429009512477597, -0.20401909830879952, -0.1823513106753497, -0.2328048178489923, -0.05242632775077732, -0.3096483582377644, -0.3358606869069649, -0.15443461471398764, -0.05359585985412544, -0.17653340981839571, -0.24612092303179492, -0.10853579368177192, -0.3151076848134066, -0.16494617025982505, -0.17546775960946834, -0.35530598659070045, -0.3884550314681602, -0.29395666155406047, -0.26358739293438466, -0.2810566486256173, -0.2351214787864986, -0.3870799820707041, -0.3320028330742901, -0.1477125867709115, -0.2908908993960472, -0.4698319080766044, -0.23800530275825532, -0.4017607168180166, -0.13674169963235389, -0.21239916450185808, -0.3201610882393491, -0.2596003584385786, -0.2745531507860284, -0.1657695645542613, -0.15490543367964718, -0.13272377435060373], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': 20.890497702521223, 'hecke_orbit': 10, 'hecke_orbit_code': 40532396746998410, 'label': '650.6.a.j.1.3', 'level': 650, 'weight': 6}
• mf_newspaces •

  Column	Type
  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_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': [12, 12, 13, 11, 12, 9, 11, 15], 'Nk2': 23400, 'analytic_conductor': 104.2494828784374, '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': [650, 1, [27, 301], [1, 1]], 'conrey_index': 1, 'cusp_dim': 512, 'dim': 95, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 100663946, 'hecke_orbit_dims': [1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6, 9, 9], 'label': '650.6.a', 'level': 650, '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': [2, 5, 13], 'level_radical': 130, 'mf_dim': 536, 'mf_new_dim': 95, 'num_forms': 23, 'plus_dim': 43, 'prim_orbit_index': 1, 'relative_dim': 95, 'sturm_bound': 630, 'trace_bound': 7, 'trace_display': [-4, 26, 0, -312], 'traces': [95, -4, 26, 1520, 0, -16, -312, 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76647098, 28887872, 4862096, 79360704, 0, 81567200, 48369132, 15414208, -48153964, 0, 141952008, -19714176, 32599210, -47895864, 0, 8742400, -73433034, -68522752, -11989224, 0, 15174238, 50749904, -22180236, -371968, 0, -61001656, -31444392, -16673152, 6903892, 0, -5528296, 9324544, -14984944, 867960, 0, 43412720, 10830886, 55241696, 51507904, 0, 61161352, -6524192, -53313696, -5902272, 0, -3779400, 65761368, 8721920, -7763522, 0, -73661752, -8268576, 185378008, 13882512, 0, 34945280, 29621396, -13691376, -44935254, 0, -30771290, 14402856, -120858524, -2179072, 0, 10613368, 3849280, -51725824, 46161726, 0, 129080896, 16988288, -44699256, 17209160, 0, 13352416, 29496492, 9996896, -227828528, 0, 46468964, -253236, -111806048, 7757152, 0, -138588416, -69255888, -7052032, 176224395, 0, -66894106, -38241024, -93197466, -28052464, 0, 5165056, 10416848, -4800584, -50758644, 0, 34532108, -37115280, 205464960, 24949248, 0, 64620632, -11280924, -25200192, 55855888, 0, 112849824, 9900032, 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93123660, 75319424, 0, 5806592, -141390518, -556272, 267059388, 0, 254233214, 53014848, -178821184, 74373376, 0, 55306976, -309237502, -12503296, -143098196, 0, -98916796, -10756096, -344117052, 196454752, 0, 47833984, -40691606, -42744288, -228314416, 0], 'weight': 6, '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: 46895691
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 40532396746998410, 'source_is_minimal': False, 'source_label': '650.6.a.j.1.3', 'source_level': 650, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 40532396746998410, 'target_is_minimal': False, 'target_label': '650.6.a.j.1.3', 'target_level': 650, 'twist_class_label': '130.6.a.f.1.1', 'twist_class_level': 130, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 46895692
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 40532396746998410, 'source_is_minimal': False, 'source_label': '650.6.a.j.1.3', 'source_level': 650, 'target_conrey_index': 599, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 40532465466475146, 'target_is_minimal': False, 'target_label': '650.6.b.j.599.4', 'target_level': 650, 'twist_class_label': '130.6.a.f.1.1', 'twist_class_level': 130, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 46895693
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 40532396746998410, 'source_is_minimal': False, 'source_label': '650.6.a.j.1.3', 'source_level': 650, 'target_conrey_index': 599, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 40532465466475146, 'target_is_minimal': False, 'target_label': '650.6.b.j.599.3', 'target_level': 650, 'twist_class_label': '130.6.a.f.1.1', 'twist_class_level': 130, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 46895694
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 40532396746998410, 'source_is_minimal': False, 'source_label': '650.6.a.j.1.3', 'source_level': 650, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998237515906, 'target_is_minimal': True, 'target_label': '130.6.a.f.1.1', 'target_level': 130, 'twist_class_label': '130.6.a.f.1.1', 'twist_class_level': 130, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 6}
  • id: 46895695
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 40532396746998410, 'source_is_minimal': False, 'source_label': '650.6.a.j.1.3', 'source_level': 650, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 49539596001739792, 'target_is_minimal': False, 'target_label': '1040.6.a.l.1.3', 'target_level': 1040, 'twist_class_label': '130.6.a.f.1.1', 'twist_class_level': 130, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1169225
    {'charpoly_factorization': [[[-4, 1], 3]], 'hecke_orbit_code': 40532396746998410, 'p': 2}
  • id: 1169226
    {'charpoly_factorization': [[[996, -200, -22, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 3}
  • id: 1169227
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 40532396746998410, 'p': 5}
  • id: 1169228
    {'charpoly_factorization': [[[41144, -1716, -234, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 7}
  • id: 1169229
    {'charpoly_factorization': [[[74436948, -406776, -48, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 11}
  • id: 1169230
    {'charpoly_factorization': [[[169, 1], 3]], 'hecke_orbit_code': 40532396746998410, 'p': 13}
  • id: 1169231
    {'charpoly_factorization': [[[-1278791784, -985764, 1506, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 17}
  • id: 1169232
    {'charpoly_factorization': [[[-3217051244, -4351152, 360, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 19}
  • id: 1169233
    {'charpoly_factorization': [[[326088900, -149736, -2370, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 23}
  • id: 1169234
    {'charpoly_factorization': [[[20058120792, -20228916, 3078, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 29}
  • id: 1169235
    {'charpoly_factorization': [[[-146606313068, -59623176, 5388, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 31}
  • id: 1169236
    {'charpoly_factorization': [[[-351745474552, 187456596, -25362, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 37}
  • id: 1169237
    {'charpoly_factorization': [[[-6827939505000, -419712420, 15906, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 41}
  • id: 1169238
    {'charpoly_factorization': [[[-2048508790180, 500630328, -39306, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 43}
  • id: 1169239
    {'charpoly_factorization': [[[4262265719352, -257428884, -17778, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 47}
  • id: 1169240
    {'charpoly_factorization': [[[-5542137361080, -1394418612, 9246, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 53}
  • id: 1169241
    {'charpoly_factorization': [[[7052020839900, 1584546144, 77760, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 59}
  • id: 1169242
    {'charpoly_factorization': [[[14366569778248, -986911764, -17982, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 61}
  • id: 1169243
    {'charpoly_factorization': [[[-49251848342008, -2886730956, -2922, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 67}
  • id: 1169244
    {'charpoly_factorization': [[[-17725732954380, -1743662712, 4944, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 71}
  • id: 1169245
    {'charpoly_factorization': [[[-1733520139000, -1029722940, 43278, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 73}
  • id: 1169246
    {'charpoly_factorization': [[[-22961229800288, -4007773968, -42120, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 79}
  • id: 1169247
    {'charpoly_factorization': [[[-84269098063800, -1460040420, 58098, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 83}
  • id: 1169248
    {'charpoly_factorization': [[[187529271320664, -5267143476, -19614, 1], 1]], 'hecke_orbit_code': 40532396746998410, 'p': 89}
  • id: 1169249
    {'charpoly_factorization': [[[191693168535800, -11127377268, -87078, 1], 1]], 'hecke_orbit_code': 40532396746998410, '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': 10, 'label': '650.6.a.j', 'level': 650, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 53668105
    {'hecke_orbit_code': 40532396746998410, 'n': 1, 'trace_an': 3}
  • id: 53668106
    {'hecke_orbit_code': 40532396746998410, 'n': 2, 'trace_an': 12}
  • id: 53668107
    {'hecke_orbit_code': 40532396746998410, 'n': 3, 'trace_an': 22}
  • id: 53668108
    {'hecke_orbit_code': 40532396746998410, 'n': 4, 'trace_an': 48}
  • id: 53668109
    {'hecke_orbit_code': 40532396746998410, 'n': 5, 'trace_an': 0}
  • id: 53668110
    {'hecke_orbit_code': 40532396746998410, 'n': 6, 'trace_an': 88}
  • id: 53668111
    {'hecke_orbit_code': 40532396746998410, 'n': 7, 'trace_an': 234}
  • id: 53668112
    {'hecke_orbit_code': 40532396746998410, 'n': 8, 'trace_an': 192}
  • id: 53668113
    {'hecke_orbit_code': 40532396746998410, 'n': 9, 'trace_an': 155}
  • id: 53668114
    {'hecke_orbit_code': 40532396746998410, 'n': 10, 'trace_an': 0}
  • id: 53668115
    {'hecke_orbit_code': 40532396746998410, 'n': 11, 'trace_an': 48}
  • id: 53668116
    {'hecke_orbit_code': 40532396746998410, 'n': 12, 'trace_an': 352}
  • id: 53668117
    {'hecke_orbit_code': 40532396746998410, 'n': 13, 'trace_an': -507}
  • id: 53668118
    {'hecke_orbit_code': 40532396746998410, 'n': 14, 'trace_an': 936}
  • id: 53668119
    {'hecke_orbit_code': 40532396746998410, 'n': 15, 'trace_an': 0}
  • id: 53668120
    {'hecke_orbit_code': 40532396746998410, 'n': 16, 'trace_an': 768}
  • id: 53668121
    {'hecke_orbit_code': 40532396746998410, 'n': 17, 'trace_an': -1506}
  • id: 53668122
    {'hecke_orbit_code': 40532396746998410, 'n': 18, 'trace_an': 620}
  • id: 53668123
    {'hecke_orbit_code': 40532396746998410, 'n': 19, 'trace_an': -360}
  • id: 53668124
    {'hecke_orbit_code': 40532396746998410, 'n': 20, 'trace_an': 0}
  • id: 53668125
    {'hecke_orbit_code': 40532396746998410, 'n': 21, 'trace_an': 6904}
  • id: 53668126
    {'hecke_orbit_code': 40532396746998410, 'n': 22, 'trace_an': 192}
  • id: 53668127
    {'hecke_orbit_code': 40532396746998410, 'n': 23, 'trace_an': 2370}
  • id: 53668128
    {'hecke_orbit_code': 40532396746998410, 'n': 24, 'trace_an': 1408}
  • id: 53668129
    {'hecke_orbit_code': 40532396746998410, 'n': 25, 'trace_an': 0}
  • id: 53668130
    {'hecke_orbit_code': 40532396746998410, 'n': 26, 'trace_an': -2028}
  • id: 53668131
    {'hecke_orbit_code': 40532396746998410, 'n': 27, 'trace_an': 10168}
  • id: 53668132
    {'hecke_orbit_code': 40532396746998410, 'n': 28, 'trace_an': 3744}
  • id: 53668133
    {'hecke_orbit_code': 40532396746998410, 'n': 29, 'trace_an': -3078}
  • id: 53668134
    {'hecke_orbit_code': 40532396746998410, 'n': 30, 'trace_an': 0}
  • id: 53668135
    {'hecke_orbit_code': 40532396746998410, 'n': 31, 'trace_an': -5388}
  • id: 53668136
    {'hecke_orbit_code': 40532396746998410, 'n': 32, 'trace_an': 3072}
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  • id: 53668326
    {'hecke_orbit_code': 40532396746998410, 'n': 757, 'trace_an': 12704154}
  • id: 53668327
    {'hecke_orbit_code': 40532396746998410, 'n': 761, 'trace_an': 22825686}
  • id: 53668328
    {'hecke_orbit_code': 40532396746998410, 'n': 769, 'trace_an': 13605990}
  • id: 53668329
    {'hecke_orbit_code': 40532396746998410, 'n': 773, 'trace_an': 29709738}
  • id: 53668330
    {'hecke_orbit_code': 40532396746998410, 'n': 787, 'trace_an': -46263534}
  • id: 53668331
    {'hecke_orbit_code': 40532396746998410, 'n': 797, 'trace_an': 10357182}
  • id: 53668332
    {'hecke_orbit_code': 40532396746998410, 'n': 809, 'trace_an': 7443078}
  • id: 53668333
    {'hecke_orbit_code': 40532396746998410, 'n': 811, 'trace_an': 50883936}
  • id: 53668334
    {'hecke_orbit_code': 40532396746998410, 'n': 821, 'trace_an': 41567394}
  • id: 53668335
    {'hecke_orbit_code': 40532396746998410, 'n': 823, 'trace_an': 22904214}
  • id: 53668336
    {'hecke_orbit_code': 40532396746998410, 'n': 827, 'trace_an': 38562186}
  • id: 53668337
    {'hecke_orbit_code': 40532396746998410, 'n': 829, 'trace_an': -7659546}
  • id: 53668338
    {'hecke_orbit_code': 40532396746998410, 'n': 839, 'trace_an': 57628680}
  • id: 53668339
    {'hecke_orbit_code': 40532396746998410, 'n': 841, 'trace_an': -11601531}
  • id: 53668340
    {'hecke_orbit_code': 40532396746998410, 'n': 853, 'trace_an': 43216890}
  • id: 53668341
    {'hecke_orbit_code': 40532396746998410, 'n': 857, 'trace_an': -17972670}
  • id: 53668342
    {'hecke_orbit_code': 40532396746998410, 'n': 859, 'trace_an': -620796}
  • id: 53668343
    {'hecke_orbit_code': 40532396746998410, 'n': 863, 'trace_an': -28467882}
  • id: 53668344
    {'hecke_orbit_code': 40532396746998410, 'n': 877, 'trace_an': 64245390}
  • id: 53668345
    {'hecke_orbit_code': 40532396746998410, 'n': 881, 'trace_an': -38432694}
  • id: 53668346
    {'hecke_orbit_code': 40532396746998410, 'n': 883, 'trace_an': 39074466}
  • id: 53668347
    {'hecke_orbit_code': 40532396746998410, 'n': 887, 'trace_an': -28021134}
  • id: 53668348
    {'hecke_orbit_code': 40532396746998410, 'n': 907, 'trace_an': -1947318}
  • id: 53668349
    {'hecke_orbit_code': 40532396746998410, 'n': 911, 'trace_an': 10936356}
  • id: 53668350
    {'hecke_orbit_code': 40532396746998410, 'n': 919, 'trace_an': -25744752}
  • id: 53668351
    {'hecke_orbit_code': 40532396746998410, 'n': 929, 'trace_an': -26536722}
  • id: 53668352
    {'hecke_orbit_code': 40532396746998410, 'n': 937, 'trace_an': 46791570}
  • id: 53668353
    {'hecke_orbit_code': 40532396746998410, 'n': 941, 'trace_an': -57113430}
  • id: 53668354
    {'hecke_orbit_code': 40532396746998410, 'n': 947, 'trace_an': 47065410}
  • id: 53668355
    {'hecke_orbit_code': 40532396746998410, 'n': 953, 'trace_an': 60519042}
  • id: 53668356
    {'hecke_orbit_code': 40532396746998410, 'n': 961, 'trace_an': 62389443}
  • id: 53668357
    {'hecke_orbit_code': 40532396746998410, 'n': 967, 'trace_an': -475062}
  • id: 53668358
    {'hecke_orbit_code': 40532396746998410, 'n': 971, 'trace_an': -12056040}
  • id: 53668359
    {'hecke_orbit_code': 40532396746998410, 'n': 977, 'trace_an': -56127534}
  • id: 53668360
    {'hecke_orbit_code': 40532396746998410, 'n': 983, 'trace_an': -22620498}
  • id: 53668361
    {'hecke_orbit_code': 40532396746998410, 'n': 991, 'trace_an': -27090444}
  • id: 53668362
    {'hecke_orbit_code': 40532396746998410, 'n': 997, 'trace_an': 50229954}