Embedded newform data - 2009.4.a.j.1.14

Formats: - HTML - YAML - JSON - 2024-06-05T08:03:03.059090

• 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': 32144, 'analytic_conductor': 118.5348372015329, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[7, 1], [41, -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': [2009, 1, [493, 785], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 36, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-32865404963328, -212810247917568, 438287035691520, 1969572148101504, -1270611374901792, -5864261438235024, 1539039311128112, 8470818053074484, -760090180469164, -7097063886510884, -62587566951080, 3793268025346977, 269888244679127, -1371562251662667, -154278183711290, 348944585355683, 49035109452370, -64180043260924, -10253800791662, 8688196842647, 1503394505819, -874444915130, -159322316348, 65607493774, 12366792176, -3649519120, -703605996, 148204731, 29002109, -4263555, -842490, 82211, 16346, -952, -190, 5, 1]], [3, [-3465441675785580286824, -7200932047344919589756, 20201570336397690918620, 29937946853948300665676, -29213186410868835380475, -42318551567288784837932, 15485711151714886256056, 27136154324997876128138, -2805134161273819333871, -9191478655608125051508, -213032972824125109603, 1841148595431453957050, 165075361014146218776, -238185103069512711252, -30462058922853461586, 21129418015554453496, 3197502821905698442, -1336545633798215946, -222062922460828402, 61774193453143790, 10837998000976990, -2114418887127110, -382527458183316, 53822394944222, 9879008111159, -1013973118922, -186561448129, 13921757022, 2543458024, -135149378, -24330318, 877416, 154674, -3412, -586, 6, 1]]], 'hecke_orbit': 10, 'hecke_orbit_code': 40532396713445337, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2009.4.a.j', 'level': 2009, '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': [7, 41], 'level_radical': 287, 'minimal_twist': '287.4.e.a', 'prim_orbit_index': 1, 'related_objects': [], 'relative_dim': 36, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2009.4.a', 'trace_display': [-5, -6, 4, 0], 'traces': [36, -5, -6, 117, 4, -12, 0, -39, 236, -12, -140, 186, -72, 0, -366, -15, -2, -212, 30, -334, 0, -346, -314, 106, 570, 303, -204, 0, -356, -357, -4, -532, -30, -364, 0, 113, -1398, -264, -1348, 26, 1476, 0, -1072, -1507, -1132, -1356, -622, 1724, 0, -1426, -668, -877, -412, -1814, 1114, 0, -4082, -1309, -620, -3724, 774, 1665, 0, -3285, -1036, -1056, -2972, -1525, 3304, 0, -3540, -821, -60, -2043, 450, 2171, 0, -1136, -5190, -1564, 284, -205, 1656, 0, -5064, -782, -1940, -4232, 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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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-0.22962829057466205, -0.31853585023702485, -0.3004809852166659, -0.11256922259390723, -0.2913573945026657, -0.282139663355142, -0.16558717505118317, -0.27507208570547315, -0.318315884242884], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 14, 'dual_embedding_m': 14, 'embedding_index': 14, 'embedding_m': 14, 'hecke_orbit': 10, 'hecke_orbit_code': 40532396713445337, 'label': '2009.4.a.j.1.14', 'level': 2009, 'weight': 4}
• 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': [104, 96, 99, 111], 'Nk2': 32144, 'analytic_conductor': 118.5348372015329, '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': [2009, 1, [493, 785], [1, 1]], 'conrey_index': 1, 'cusp_dim': 580, 'dim': 410, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 3], 'hecke_orbit_code': 67110873, 'hecke_orbit_dims': [1, 3, 7, 11, 12, 17, 19, 30, 30, 36, 36, 44, 44, 60, 60], 'label': '2009.4.a', 'level': 2009, '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': [7, 41], 'level_radical': 287, 'mf_dim': 596, 'mf_new_dim': 410, 'num_forms': 15, 'plus_dim': 215, 'prim_orbit_index': 1, 'relative_dim': 410, 'sturm_bound': 784, 'trace_bound': 3, 'trace_display': [2, -4, 16, 0], 'traces': [410, 2, -4, 1618, 16, 24, 0, -18, 3754, 36, -84, 22, 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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: 46890165
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 36, 'source_embedding_index': 14, 'source_hecke_orbit_code': 40532396713445337, 'source_is_minimal': False, 'source_label': '2009.4.a.j.1.14', 'source_level': 2009, 'target_conrey_index': 1, 'target_dim': 36, 'target_embedding_index': 14, 'target_hecke_orbit_code': 40532396713445337, 'target_is_minimal': False, 'target_label': '2009.4.a.j.1.14', 'target_level': 2009, 'twist_class_label': '287.4.e.a.165.23', 'twist_class_level': 287, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 46890166
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 36, 'source_embedding_index': 14, 'source_hecke_orbit_code': 40532396713445337, 'source_is_minimal': False, 'source_label': '2009.4.a.j.1.14', 'source_level': 2009, 'target_conrey_index': 165, 'target_dim': 72, 'target_embedding_index': 23, 'target_hecke_orbit_code': 274945016095, 'target_is_minimal': True, 'target_label': '287.4.e.a.165.23', 'target_level': 287, 'twist_class_label': '287.4.e.a.165.23', 'twist_class_level': 287, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 46890167
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 36, 'source_embedding_index': 14, 'source_hecke_orbit_code': 40532396713445337, 'source_is_minimal': False, 'source_label': '2009.4.a.j.1.14', 'source_level': 2009, 'target_conrey_index': 247, 'target_dim': 72, 'target_embedding_index': 23, 'target_hecke_orbit_code': 274945016095, 'target_is_minimal': True, 'target_label': '287.4.e.a.247.23', 'target_level': 287, 'twist_class_label': '287.4.e.a.165.23', 'twist_class_level': 287, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 46890168
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 36, 'source_embedding_index': 14, 'source_hecke_orbit_code': 40532396713445337, 'source_is_minimal': False, 'source_label': '2009.4.a.j.1.14', 'source_level': 2009, 'target_conrey_index': 1, 'target_dim': 36, 'target_embedding_index': 14, 'target_hecke_orbit_code': 45035996340815833, 'target_is_minimal': False, 'target_label': '2009.4.a.k.1.14', 'target_level': 2009, 'twist_class_label': '287.4.e.a.165.23', 'twist_class_level': 287, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 4}
• hecke_orbit_code 40532396713445337 does not appear in mf_hecke_charpolys
• 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': '2009.4.a.j', 'level': 2009, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 53609281
    {'hecke_orbit_code': 40532396713445337, 'n': 1, 'trace_an': 36}
  • id: 53609282
    {'hecke_orbit_code': 40532396713445337, 'n': 2, 'trace_an': -5}
  • id: 53609283
    {'hecke_orbit_code': 40532396713445337, 'n': 3, 'trace_an': -6}
  • id: 53609284
    {'hecke_orbit_code': 40532396713445337, 'n': 4, 'trace_an': 117}
  • id: 53609285
    {'hecke_orbit_code': 40532396713445337, 'n': 5, 'trace_an': 4}
  • id: 53609286
    {'hecke_orbit_code': 40532396713445337, 'n': 6, 'trace_an': -12}
  • id: 53609287
    {'hecke_orbit_code': 40532396713445337, 'n': 7, 'trace_an': 0}
  • id: 53609288
    {'hecke_orbit_code': 40532396713445337, 'n': 8, 'trace_an': -39}
  • id: 53609289
    {'hecke_orbit_code': 40532396713445337, 'n': 9, 'trace_an': 236}
  • id: 53609290
    {'hecke_orbit_code': 40532396713445337, 'n': 10, 'trace_an': -12}
  • id: 53609291
    {'hecke_orbit_code': 40532396713445337, 'n': 11, 'trace_an': -140}
  • id: 53609292
    {'hecke_orbit_code': 40532396713445337, 'n': 12, 'trace_an': 186}
  • id: 53609293
    {'hecke_orbit_code': 40532396713445337, 'n': 13, 'trace_an': -72}
  • id: 53609294
    {'hecke_orbit_code': 40532396713445337, 'n': 14, 'trace_an': 0}
  • id: 53609295
    {'hecke_orbit_code': 40532396713445337, 'n': 15, 'trace_an': -366}
  • id: 53609296
    {'hecke_orbit_code': 40532396713445337, 'n': 16, 'trace_an': -15}
  • id: 53609297
    {'hecke_orbit_code': 40532396713445337, 'n': 17, 'trace_an': -2}
  • id: 53609298
    {'hecke_orbit_code': 40532396713445337, 'n': 18, 'trace_an': -212}
  • id: 53609299
    {'hecke_orbit_code': 40532396713445337, 'n': 19, 'trace_an': 30}
  • id: 53609300
    {'hecke_orbit_code': 40532396713445337, 'n': 20, 'trace_an': -334}
  • id: 53609301
    {'hecke_orbit_code': 40532396713445337, 'n': 21, 'trace_an': 0}
  • id: 53609302
    {'hecke_orbit_code': 40532396713445337, 'n': 22, 'trace_an': -346}
  • id: 53609303
    {'hecke_orbit_code': 40532396713445337, 'n': 23, 'trace_an': -314}
  • id: 53609304
    {'hecke_orbit_code': 40532396713445337, 'n': 24, 'trace_an': 106}
  • id: 53609305
    {'hecke_orbit_code': 40532396713445337, 'n': 25, 'trace_an': 570}
  • id: 53609306
    {'hecke_orbit_code': 40532396713445337, 'n': 26, 'trace_an': 303}
  • id: 53609307
    {'hecke_orbit_code': 40532396713445337, 'n': 27, 'trace_an': -204}
  • id: 53609308
    {'hecke_orbit_code': 40532396713445337, 'n': 28, 'trace_an': 0}
  • id: 53609309
    {'hecke_orbit_code': 40532396713445337, 'n': 29, 'trace_an': -356}
  • id: 53609310
    {'hecke_orbit_code': 40532396713445337, 'n': 30, 'trace_an': -357}
  • id: 53609311
    {'hecke_orbit_code': 40532396713445337, 'n': 31, 'trace_an': -4}
  • id: 53609312
    {'hecke_orbit_code': 40532396713445337, 'n': 32, 'trace_an': -532}
  • id: 53609313
    {'hecke_orbit_code': 40532396713445337, 'n': 33, 'trace_an': -30}
  • id: 53609314
    {'hecke_orbit_code': 40532396713445337, 'n': 34, 'trace_an': -364}
  • id: 53609315
    {'hecke_orbit_code': 40532396713445337, 'n': 35, 'trace_an': 0}
  • id: 53609316
    {'hecke_orbit_code': 40532396713445337, 'n': 36, 'trace_an': 113}
  • id: 53609317
    {'hecke_orbit_code': 40532396713445337, 'n': 37, 'trace_an': -1398}
  • id: 53609318
    {'hecke_orbit_code': 40532396713445337, 'n': 38, 'trace_an': -264}
  • id: 53609319
    {'hecke_orbit_code': 40532396713445337, 'n': 39, 'trace_an': -1348}
  • id: 53609320
    {'hecke_orbit_code': 40532396713445337, 'n': 40, 'trace_an': 26}
  • id: 53609321
    {'hecke_orbit_code': 40532396713445337, 'n': 41, 'trace_an': 1476}
  • id: 53609322
    {'hecke_orbit_code': 40532396713445337, 'n': 42, 'trace_an': 0}
  • id: 53609323
    {'hecke_orbit_code': 40532396713445337, 'n': 43, 'trace_an': -1072}
  • id: 53609324
    {'hecke_orbit_code': 40532396713445337, 'n': 44, 'trace_an': -1507}
  • id: 53609325
    {'hecke_orbit_code': 40532396713445337, 'n': 45, 'trace_an': -1132}
  • id: 53609326
    {'hecke_orbit_code': 40532396713445337, 'n': 46, 'trace_an': -1356}
  • id: 53609327
    {'hecke_orbit_code': 40532396713445337, 'n': 47, 'trace_an': -622}
  • id: 53609328
    {'hecke_orbit_code': 40532396713445337, 'n': 48, 'trace_an': 1724}
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  • id: 53609414
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  • id: 53609415
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  • id: 53609416
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  • id: 53609419
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  • id: 53609420
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  • id: 53609421
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  • id: 53609422
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  • id: 53609423
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  • id: 53609424
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  • id: 53609425
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  • id: 53609426
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  • id: 53609427
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  • id: 53609428
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  • id: 53609429
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  • id: 53609430
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  • id: 53609431
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  • id: 53609432
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  • id: 53609433
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  • id: 53609434
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  • id: 53609435
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  • id: 53609436
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  • id: 53609437
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  • id: 53609438
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  • id: 53609439
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  • id: 53609440
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  • id: 53609445
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  • id: 53609446
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  • id: 53609450
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  • id: 53609451
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  • id: 53609452
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  • id: 53609456
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  • id: 53609464
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  • id: 53609466
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  • id: 53609467
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    {'hecke_orbit_code': 40532396713445337, 'n': 881, 'trace_an': -118042}
  • id: 53609522
    {'hecke_orbit_code': 40532396713445337, 'n': 883, 'trace_an': -23836}
  • id: 53609523
    {'hecke_orbit_code': 40532396713445337, 'n': 887, 'trace_an': 27272}
  • id: 53609524
    {'hecke_orbit_code': 40532396713445337, 'n': 907, 'trace_an': 29944}
  • id: 53609525
    {'hecke_orbit_code': 40532396713445337, 'n': 911, 'trace_an': -100256}
  • id: 53609526
    {'hecke_orbit_code': 40532396713445337, 'n': 919, 'trace_an': -232350}
  • id: 53609527
    {'hecke_orbit_code': 40532396713445337, 'n': 929, 'trace_an': -18760}
  • id: 53609528
    {'hecke_orbit_code': 40532396713445337, 'n': 937, 'trace_an': -138296}
  • id: 53609529
    {'hecke_orbit_code': 40532396713445337, 'n': 941, 'trace_an': 102190}
  • id: 53609530
    {'hecke_orbit_code': 40532396713445337, 'n': 947, 'trace_an': -124496}
  • id: 53609531
    {'hecke_orbit_code': 40532396713445337, 'n': 953, 'trace_an': 94244}
  • id: 53609532
    {'hecke_orbit_code': 40532396713445337, 'n': 961, 'trace_an': -130108}
  • id: 53609533
    {'hecke_orbit_code': 40532396713445337, 'n': 967, 'trace_an': -114338}
  • id: 53609534
    {'hecke_orbit_code': 40532396713445337, 'n': 971, 'trace_an': 68458}
  • id: 53609535
    {'hecke_orbit_code': 40532396713445337, 'n': 977, 'trace_an': 93554}
  • id: 53609536
    {'hecke_orbit_code': 40532396713445337, 'n': 983, 'trace_an': 80990}
  • id: 53609537
    {'hecke_orbit_code': 40532396713445337, 'n': 991, 'trace_an': -146708}
  • id: 53609538
    {'hecke_orbit_code': 40532396713445337, 'n': 997, 'trace_an': -63700}