Embedded newform data - 1232.4.a.bd.1.4

Formats: - HTML - YAML - JSON - 2024-05-15T04:23:43.068349

• 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': 19712, 'analytic_conductor': 72.69035312707244, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [7, -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': [1232, 1, [463, 309, 353, 673], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 7, 'field_disc': 16879782106167907544, 'field_disc_factorization': [[2, 3], [2109972763270988443, 1]], 'field_poly': [320, -1496, -2452, 4790, -10, -145, 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': [[3, [320, -1496, -2452, 4790, -10, -145, 0, 1]], [5, [-14549536, -6037280, -111752, 107076, 2228, -591, -6, 1]]], 'hecke_orbit': 30, 'hecke_orbit_code': 130604389260854480, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 64, 'hecke_ring_index_factorization': [[2, 6]], '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': '1232.4.a.bd', 'level': 1232, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 11], 'level_radical': 154, 'minimal_twist': '616.4.a.j', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{3}+(1-\\beta _{2})q^{5}+7q^{7}+(15-\\beta _{2}+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 7, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1232.4.a', 'trace_display': [0, 0, 6, 49], 'trace_hash': 1660750028398101991, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.122', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6.734', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.922', 'prec': 17}, {'__RealLiteral__': 0, 'data': '130.163', 'prec': 24}, {'__RealLiteral__': 0, 'data': '60.268', 'prec': 20}, {'__RealLiteral__': 0, 'data': '3973.997', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [7, 0, 0, 0, 6, 0, 49, 0, 101, 0, 77, 0, 88, 0, 106, 0, 134, 0, -14, 0, 0, 0, -42, 0, 343, 0, 30, 0, 482, 0, -50, 0, 0, 0, 42, 0, 152, 0, -72, 0, 234, 0, -472, 0, 1384, 0, -728, 0, 343, 0, -1572, 0, -102, 0, 66, 0, 452, 0, -1704, 0, 656, 0, 707, 0, 2840, 0, -1126, 0, -350, 0, 918, 0, 1094, 0, -274, 0, 539, 0, -672, 0, 4503, 0, -782, 0, 1716, 0, -3196, 0, -464, 0, 616, 0, 1826, 0, 1796, 0, 3000, 0, 1111, 0, 3104, 0, 1824, 0, 742, 0, 2472, 0, 2394, 0, -4962, 0, 2648, 0, 1478, 0, 8084, 0, 938, 0, 847, 0, -3472, 0, 2670, 0, 2604, 0, 4444, 0, -4410, 0, -98, 0, 4946, 0, 2792, 0, -1902, 0, -168, 0, 968, 0, 5288, 0, 0, 0, 3082, 0, -1104, 0, 8790, 0, 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-734414, 0, 106788, 0, -181272, 0, 160286, 0, 373660, 0, -156172, 0, 73234, 0, -416184, 0, -76304, 0, -30730, 0, 23432, 0, -570160, 0, 73964, 0, 504892, 0, -88240, 0, 376544, 0, 32144, 0, -84940, 0, -1007488, 0, 100616, 0, -1732712, 0, 212028, 0], 'weight': 4, 'weight_parity': 1}
• 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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-0.18175426241251896, -0.32087390756250284, -0.3410900962330294, -0.222633959904265, -0.22942321695598128, -0.31289960075011103, -0.1863025933605252, -0.1934292349132473, -0.21026248482756096, -0.2996416695658698, -0.35113239557233455, -0.260958952716084, -0.40171964406828636, -0.25985336319092217, -0.37748315886224454, -0.2217384078710811, -0.39386657168850664, -0.24447242089965796, -0.31041135604325404, -0.20283559429831383, -0.3103489201288905, -0.14514090741615066, -0.1831987960938499, -0.3323133755910261, -0.16649734674963912, -0.1877186156309741, -0.2859841718078803, -0.42755482232365405, -0.40466365276085925, -0.35481482137004494, -0.1189520985558328, -0.13220597370252074, -0.3149473815490236, -0.3316629726032795], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.17956774666936245, 'hecke_orbit': 30, 'hecke_orbit_code': 130604389260854480, 'label': '1232.4.a.bd.1.4', 'level': 1232, '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], [7, -1], [11, 1]], 9, 4], [[[2, -1], [7, -1], [11, -1]], 10, 4], [[[2, 1], [7, 1], [11, 1]], 11, 2], [[[2, 1], [7, -1], [11, -1]], 14, 3], [[[2, -1], [7, -1], [11, 1]], 12, 4], [[[2, -1], [7, 1], [11, 1]], 10, 5], [[[2, 1], [7, 1], [11, -1]], 12, 2], [[[2, -1], [7, 1], [11, -1]], 12, 6]], 'ALdims': [11, 12, 9, 14, 10, 12, 12, 10], 'Nk2': 19712, 'analytic_conductor': 72.69035312707244, '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': [1232, 1, [463, 309, 353, 673], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 564, 'dim': 90, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 67110096, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 4, 4, 4, 4, 5, 5, 5, 6, 6, 7, 7], 'label': '1232.4.a', 'level': 1232, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 11], 'level_radical': 154, 'mf_dim': 588, 'mf_new_dim': 90, 'num_forms': 30, 'plus_dim': 49, 'prim_orbit_index': 1, 'relative_dim': 90, 'sturm_bound': 768, 'trace_bound': 5, 'trace_display': [0, 0, -4, 0], 'traces': [90, 0, 0, 0, -4, 0, 0, 0, 810, 0, 66, 0, 92, 0, -132, 0, 52, 0, -48, 0, 0, 0, -276, 0, 2206, 0, -708, 0, 284, 0, 528, 0, 0, 0, 0, 0, -660, 0, 600, 0, -236, 0, 0, 0, -180, 0, -1164, 0, 4410, 0, 1488, 0, 572, 0, 0, 0, -848, 0, 2040, 0, 2604, 0, 0, 0, 232, 0, 804, 0, 1056, 0, -668, 0, 740, 0, -5476, 0, 0, 0, 2832, 0, 7594, 0, 456, 0, 2696, 0, 2768, 0, -900, 0, 1092, 0, 4272, 0, 1896, 0, -1396, 0, 1782, 0, 1180, 0, 2148, 0, 1456, 0, 3104, 0, -4244, 0, -3468, 0, -1764, 0, 6396, 0, 4956, 0, -2380, 0, 10890, 0, 2368, 0, 936, 0, -408, 0, 0, 0, -3000, 0, 0, 0, -708, 0, 2076, 0, -7872, 0, -8496, 0, 0, 0, -760, 0, 0, 0, -1380, 0, -5568, 0, 2340, 0, -476, 0, 4604, 0, 20400, 0, 0, 0, -1392, 0, 0, 0, 7848, 0, 15190, 0, 21368, 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: 48718685
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 7, 'source_embedding_index': 4, 'source_hecke_orbit_code': 130604389260854480, 'source_is_minimal': False, 'source_label': '1232.4.a.bd.1.4', 'source_level': 1232, 'target_conrey_index': 1, 'target_dim': 7, 'target_embedding_index': 4, 'target_hecke_orbit_code': 130604389260854480, 'target_is_minimal': False, 'target_label': '1232.4.a.bd.1.4', 'target_level': 1232, 'twist_class_label': '616.4.a.j.1.4', 'twist_class_level': 616, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48718686
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 7, 'source_embedding_index': 4, 'source_hecke_orbit_code': 130604389260854480, 'source_is_minimal': False, 'source_label': '1232.4.a.bd.1.4', 'source_level': 1232, 'target_conrey_index': 1, 'target_dim': 7, 'target_embedding_index': 4, 'target_hecke_orbit_code': 40532396713443944, 'target_is_minimal': True, 'target_label': '616.4.a.j.1.4', 'target_level': 616, 'twist_class_label': '616.4.a.j.1.4', 'twist_class_level': 616, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1791375
    {'charpoly_factorization': [[[0, 1], 7]], 'hecke_orbit_code': 130604389260854480, 'p': 2}
  • id: 1791376
    {'charpoly_factorization': [[[320, -1496, -2452, 4790, -10, -145, 0, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 3}
  • id: 1791377
    {'charpoly_factorization': [[[-14549536, -6037280, -111752, 107076, 2228, -591, -6, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 5}
  • id: 1791378
    {'charpoly_factorization': [[[-7, 1], 7]], 'hecke_orbit_code': 130604389260854480, 'p': 7}
  • id: 1791379
    {'charpoly_factorization': [[[-11, 1], 7]], 'hecke_orbit_code': 130604389260854480, 'p': 11}
  • id: 1791380
    {'charpoly_factorization': [[[-79161659136, -17733243584, -542018992, 13868800, 444528, -5570, -88, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 13}
  • id: 1791381
    {'charpoly_factorization': [[[151755555840, 19509561728, -561585936, -42464920, 1464204, -7086, -134, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 17}
  • id: 1791382
    {'charpoly_factorization': [[[15743217343488, -1249215222656, -864346304, 350777040, -206040, -32568, 14, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 19}
  • id: 1791383
    {'charpoly_factorization': [[[-120191659904000, -1338816653696, 70009628864, 867532456, -3567936, -57327, 42, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 23}
  • id: 1791384
    {'charpoly_factorization': [[[2542483952512, -491881428160, 26714905632, -513498512, 1297992, 57900, -482, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 29}
  • id: 1791385
    {'charpoly_factorization': [[[5980457097664, 102847772728, -11551803088, 90935286, 2969420, -43501, 50, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 31}
  • id: 1791386
    {'charpoly_factorization': [[[-1671990562943872, -193615516281984, -3954644636984, 24514937292, 49565910, -305927, -152, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 37}
  • id: 1791387
    {'charpoly_factorization': [[[-4515770199643136, 230138923065344, -3280282392624, 8307303464, 63952724, -238046, -234, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 41}
  • id: 1791388
    {'charpoly_factorization': [[[-32755184065302528, -447023582428160, 2720634231040, 24246280768, -84090640, -257300, 472, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 43}
  • id: 1791389
    {'charpoly_factorization': [[[-62191475628576768, -524106396564480, 10699476046848, 12356516440, -173861360, -195754, 728, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 47}
  • id: 1791390
    {'charpoly_factorization': [[[47251926943312896, -1305099795925504, 1798891594208, 106916628304, -32174800, -679992, 102, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 53}
  • id: 1791391
    {'charpoly_factorization': [[[11514526043687706176, 61831625079816344, 14659981345524, -447265780354, -731489894, 424495, 1704, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 59}
  • id: 1791392
    {'charpoly_factorization': [[[4950023731442496, 436042040186880, -10924222065168, -19461087448, 313819168, -405366, -656, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 61}
  • id: 1791393
    {'charpoly_factorization': [[[-553875655986118144, 5828366912756736, 26330793140480, -103317315160, -474218504, -118599, 1126, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 67}
  • id: 1791394
    {'charpoly_factorization': [[[-1069588722849030144, -29094938807414400, -151877544171936, 294726454424, 844184908, -1095151, -918, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 71}
  • id: 1791395
    {'charpoly_factorization': [[[-90325735881766352640, 660825578565820992, -1397318402776016, 103860090776, 2582868236, -1766614, -1094, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 73}
  • id: 1791396
    {'charpoly_factorization': [[[2680203356037644288, 59837408496401408, 341342459482496, 373709766384, -982050048, -1459984, 672, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 79}
  • id: 1791397
    {'charpoly_factorization': [[[-178328409421148160, 18370436523516416, 95719017376640, -105538519584, -1047555904, -1028748, 782, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 83}
  • id: 1791398
    {'charpoly_factorization': [[[9335355776969482464, -191100206519810032, 606485948970768, 1818630900168, -1118220178, -2760631, 464, 1], 1]], 'hecke_orbit_code': 130604389260854480, 'p': 89}
  • id: 1791399
    {'charpoly_factorization': [[[-184305413897395723296, 2135876209171660144, -3148509436732448, -3584631472784, 7080114586, -318799, -3000, 1], 1]], 'hecke_orbit_code': 130604389260854480, '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': 30, 'label': '1232.4.a.bd', 'level': 1232, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 265255000
    {'hecke_orbit_code': 130604389260854480, 'n': 1, 'trace_an': 7}
  • id: 265255001
    {'hecke_orbit_code': 130604389260854480, 'n': 2, 'trace_an': 0}
  • id: 265255002
    {'hecke_orbit_code': 130604389260854480, 'n': 3, 'trace_an': 0}
  • id: 265255003
    {'hecke_orbit_code': 130604389260854480, 'n': 4, 'trace_an': 0}
  • id: 265255004
    {'hecke_orbit_code': 130604389260854480, 'n': 5, 'trace_an': 6}
  • id: 265255005
    {'hecke_orbit_code': 130604389260854480, 'n': 6, 'trace_an': 0}
  • id: 265255006
    {'hecke_orbit_code': 130604389260854480, 'n': 7, 'trace_an': 49}
  • id: 265255007
    {'hecke_orbit_code': 130604389260854480, 'n': 8, 'trace_an': 0}
  • id: 265255008
    {'hecke_orbit_code': 130604389260854480, 'n': 9, 'trace_an': 101}
  • id: 265255009
    {'hecke_orbit_code': 130604389260854480, 'n': 10, 'trace_an': 0}
  • id: 265255010
    {'hecke_orbit_code': 130604389260854480, 'n': 11, 'trace_an': 77}
  • id: 265255011
    {'hecke_orbit_code': 130604389260854480, 'n': 12, 'trace_an': 0}
  • id: 265255012
    {'hecke_orbit_code': 130604389260854480, 'n': 13, 'trace_an': 88}
  • id: 265255013
    {'hecke_orbit_code': 130604389260854480, 'n': 14, 'trace_an': 0}
  • id: 265255014
    {'hecke_orbit_code': 130604389260854480, 'n': 15, 'trace_an': 106}
  • id: 265255015
    {'hecke_orbit_code': 130604389260854480, 'n': 16, 'trace_an': 0}
  • id: 265255016
    {'hecke_orbit_code': 130604389260854480, 'n': 17, 'trace_an': 134}
  • id: 265255017
    {'hecke_orbit_code': 130604389260854480, 'n': 18, 'trace_an': 0}
  • id: 265255018
    {'hecke_orbit_code': 130604389260854480, 'n': 19, 'trace_an': -14}
  • id: 265255019
    {'hecke_orbit_code': 130604389260854480, 'n': 20, 'trace_an': 0}
  • id: 265255020
    {'hecke_orbit_code': 130604389260854480, 'n': 21, 'trace_an': 0}
  • id: 265255021
    {'hecke_orbit_code': 130604389260854480, 'n': 22, 'trace_an': 0}
  • id: 265255022
    {'hecke_orbit_code': 130604389260854480, 'n': 23, 'trace_an': -42}
  • id: 265255023
    {'hecke_orbit_code': 130604389260854480, 'n': 24, 'trace_an': 0}
  • id: 265255024
    {'hecke_orbit_code': 130604389260854480, 'n': 25, 'trace_an': 343}
  • id: 265255025
    {'hecke_orbit_code': 130604389260854480, 'n': 26, 'trace_an': 0}
  • id: 265255026
    {'hecke_orbit_code': 130604389260854480, 'n': 27, 'trace_an': 30}
  • id: 265255027
    {'hecke_orbit_code': 130604389260854480, 'n': 28, 'trace_an': 0}
  • id: 265255028
    {'hecke_orbit_code': 130604389260854480, 'n': 29, 'trace_an': 482}
  • id: 265255029
    {'hecke_orbit_code': 130604389260854480, 'n': 30, 'trace_an': 0}
  • id: 265255030
    {'hecke_orbit_code': 130604389260854480, 'n': 31, 'trace_an': -50}
  • id: 265255031
    {'hecke_orbit_code': 130604389260854480, 'n': 32, 'trace_an': 0}
  • id: 265255032
    {'hecke_orbit_code': 130604389260854480, 'n': 33, 'trace_an': 0}
  • id: 265255033
    {'hecke_orbit_code': 130604389260854480, 'n': 34, 'trace_an': 0}
  • id: 265255034
    {'hecke_orbit_code': 130604389260854480, 'n': 35, 'trace_an': 42}
  • id: 265255035
    {'hecke_orbit_code': 130604389260854480, 'n': 36, 'trace_an': 0}
  • id: 265255036
    {'hecke_orbit_code': 130604389260854480, 'n': 37, 'trace_an': 152}
  • id: 265255037
    {'hecke_orbit_code': 130604389260854480, 'n': 38, 'trace_an': 0}
  • id: 265255038
    {'hecke_orbit_code': 130604389260854480, 'n': 39, 'trace_an': -72}
  • id: 265255039
    {'hecke_orbit_code': 130604389260854480, 'n': 40, 'trace_an': 0}
  • id: 265255040
    {'hecke_orbit_code': 130604389260854480, 'n': 41, 'trace_an': 234}
  • id: 265255041
    {'hecke_orbit_code': 130604389260854480, 'n': 42, 'trace_an': 0}
  • id: 265255042
    {'hecke_orbit_code': 130604389260854480, 'n': 43, 'trace_an': -472}
  • id: 265255043
    {'hecke_orbit_code': 130604389260854480, 'n': 44, 'trace_an': 0}
  • id: 265255044
    {'hecke_orbit_code': 130604389260854480, 'n': 45, 'trace_an': 1384}
  • id: 265255045
    {'hecke_orbit_code': 130604389260854480, 'n': 46, 'trace_an': 0}
  • id: 265255046
    {'hecke_orbit_code': 130604389260854480, 'n': 47, 'trace_an': -728}
  • id: 265255047
    {'hecke_orbit_code': 130604389260854480, 'n': 48, 'trace_an': 0}
  • id: 265255048
    {'hecke_orbit_code': 130604389260854480, 'n': 49, 'trace_an': 343}
  • id: 265255049
    {'hecke_orbit_code': 130604389260854480, 'n': 50, 'trace_an': 0}
  • id: 265255050
    {'hecke_orbit_code': 130604389260854480, 'n': 51, 'trace_an': -1572}
  • id: 265255051
    {'hecke_orbit_code': 130604389260854480, 'n': 52, 'trace_an': 0}
  • id: 265255052
    {'hecke_orbit_code': 130604389260854480, 'n': 53, 'trace_an': -102}
  • id: 265255053
    {'hecke_orbit_code': 130604389260854480, 'n': 54, 'trace_an': 0}
  • id: 265255054
    {'hecke_orbit_code': 130604389260854480, 'n': 55, 'trace_an': 66}
  • id: 265255055
    {'hecke_orbit_code': 130604389260854480, 'n': 56, 'trace_an': 0}
  • id: 265255056
    {'hecke_orbit_code': 130604389260854480, 'n': 57, 'trace_an': 452}
  • id: 265255057
    {'hecke_orbit_code': 130604389260854480, 'n': 58, 'trace_an': 0}
  • id: 265255058
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  • id: 265255064
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  • id: 265255065
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  • id: 265255071
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  • id: 265255072
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  • id: 265255080
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  • id: 265255092
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  • id: 265255100
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  • id: 265255102
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  • id: 265255156
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  • id: 265255158
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  • id: 265255160
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  • id: 265255162
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  • id: 265255164
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