Embedded newform data - 242.6.a.m.1.2

Formats: - HTML - YAML - JSON - 2026-01-22T00:47:38.838204

• 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': 8712, 'analytic_conductor': 38.81288439474131, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [11, -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': [242, 1, [123], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 2103025, 'field_disc_factorization': [[5, 2], [84121, 1]], 'field_poly': [5220, 150, -149, -2, 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, [76311, -1980, -587, 10, 1]], [7, [-1120981, -980232, -21767, 34, 1]]], 'hecke_orbit': 13, 'hecke_orbit_code': 54043195629109490, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 44, 'hecke_ring_index_factorization': [[2, 2], [11, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '242.6.a.m', 'level': 242, '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, 11], 'level_radical': 22, 'minimal_twist': '22.6.c.a', 'nf_label': '4.4.2103025.1', 'prim_orbit_index': 1, 'qexp_display': 'q+4q^{2}+(-2+\\beta _{1})q^{3}+2^{4}q^{4}+(-6^{2}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '242.6.a', 'trace_display': [16, -10, -150, -34], 'trace_hash': 1108088792579109325, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.793', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '39.629', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '630.243', 'prec': 24}], 'trace_zratio': 0, 'traces': [4, 16, -10, 64, -150, -40, -34, 256, 302, -600, 0, -160, 138, -136, 206, 1024, -370, 1208, -2358, -2400, -5162, 0, 820, -640, 1114, 552, -7810, -544, -11242, 824, -17096, 4096, 0, -1480, -9238, 4832, -16194, -9432, -15446, -9600, -34262, -20648, 5396, 0, -33940, 3280, 8898, -2560, -22538, 4456, -62378, 2208, -12274, -31240, 0, -2176, 87082, -44968, 8222, 3296, 68186, -68384, 70948, 16384, 16486, 0, -167868, -5920, -119656, -36952, -96324, 19328, -33278, -64776, -89830, -37728, 0, -61784, 158272, -38400, -143056, -137048, 196304, -82592, 80558, 21584, 86828, 0, -267400, -135760, -48850, 13120, -58944, 35592, 3038, -10240, -26738, -90152, 0, 17824, 87142, -249512, -157354, 8832, 421434, -49096, -2322, -124960, 350716, 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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-0.2900367033020036, -0.24636041021696192, -0.24173479743300405, -0.0836230435027361, -0.11889604763814912, -0.32741578790126985, -0.33561831561550093, -0.19325173819005786, -0.2630778653350861, -0.35979212080799616, -0.2525488142041747], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -6.9246473453290625, 'hecke_orbit': 13, 'hecke_orbit_code': 54043195629109490, 'label': '242.6.a.m.1.2', 'level': 242, 'weight': 6}
• 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': [11, 12, 13, 9], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [6, 6, 6, 6], 'ALdims_old': [25, 28, 26, 29], 'Nk2': 8712, 'analytic_conductor': 38.81288439474131, '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': [242, 1, [123], [1]], 'conrey_index': 1, 'cusp_dim': 153, 'dim': 45, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 100663538, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 2, 2, 2, 3, 3, 4, 4, 4, 4, 6, 6], 'label': '242.6.a', 'level': 242, '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, 11], 'level_radical': 22, 'mf_dim': 177, 'mf_new_dim': 45, 'num_forms': 16, 'plus_dim': 20, 'prim_orbit_index': 1, 'relative_dim': 45, 'sturm_bound': 198, 'trace_bound': 3, 'trace_display': [-4, 18, 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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: 47548962
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043195629109490, 'source_is_minimal': False, 'source_label': '242.6.a.m.1.2', 'source_level': 242, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 54043195629109490, 'target_is_minimal': False, 'target_label': '242.6.a.m.1.2', 'target_level': 242, 'twist_class_label': '22.6.c.a.3.1', 'twist_class_level': 22, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 47548963
    {'conductor': 11, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043195629109490, 'source_is_minimal': False, 'source_label': '242.6.a.m.1.2', 'source_level': 242, 'target_conrey_index': 15, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137539616790, 'target_is_minimal': True, 'target_label': '22.6.c.a.15.1', 'target_level': 22, 'twist_class_label': '22.6.c.a.3.1', 'twist_class_level': 22, 'twisting_char_label': '11.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 47548964
    {'conductor': 11, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043195629109490, 'source_is_minimal': False, 'source_label': '242.6.a.m.1.2', 'source_level': 242, 'target_conrey_index': 3, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137539616790, 'target_is_minimal': True, 'target_label': '22.6.c.a.3.1', 'target_level': 22, 'twist_class_label': '22.6.c.a.3.1', 'twist_class_level': 22, 'twisting_char_label': '11.6', 'twisting_conrey_index': 6, 'weight': 6}
  • id: 47548965
    {'conductor': 11, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043195629109490, 'source_is_minimal': False, 'source_label': '242.6.a.m.1.2', 'source_level': 242, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45035996374368498, 'target_is_minimal': False, 'target_label': '242.6.a.k.1.2', 'target_level': 242, 'twist_class_label': '22.6.c.a.3.1', 'twist_class_level': 22, 'twisting_char_label': '11.10', 'twisting_conrey_index': 10, 'weight': 6}
  • id: 47548966
    {'conductor': 33, 'degree': 4, 'order': 10, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043195629109490, 'source_is_minimal': False, 'source_label': '242.6.a.m.1.2', 'source_level': 242, 'target_conrey_index': 37, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503943325417670, 'target_is_minimal': False, 'target_label': '198.6.f.b.37.2', 'target_level': 198, 'twist_class_label': '22.6.c.a.3.1', 'twist_class_level': 22, 'twisting_char_label': '33.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 47548967
    {'conductor': 33, 'degree': 4, 'order': 10, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043195629109490, 'source_is_minimal': False, 'source_label': '242.6.a.m.1.2', 'source_level': 242, 'target_conrey_index': 91, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503943325417670, 'target_is_minimal': False, 'target_label': '198.6.f.b.91.2', 'target_level': 198, 'twist_class_label': '22.6.c.a.3.1', 'twist_class_level': 22, 'twisting_char_label': '33.17', 'twisting_conrey_index': 17, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 570300
    {'charpoly_factorization': [[[-4, 1], 4]], 'hecke_orbit_code': 54043195629109490, 'p': 2}
  • id: 570301
    {'charpoly_factorization': [[[76311, -1980, -587, 10, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 3}
  • id: 570302
    {'charpoly_factorization': [[[-6623879, -169710, 4443, 150, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 5}
  • id: 570303
    {'charpoly_factorization': [[[-1120981, -980232, -21767, 34, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 7}
  • id: 570304
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 54043195629109490, 'p': 11}
  • id: 570305
    {'charpoly_factorization': [[[-25692203951, 259504266, -640473, -138, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 13}
  • id: 570306
    {'charpoly_factorization': [[[740805522101, -354719790, -1765673, 370, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 17}
  • id: 570307
    {'charpoly_factorization': [[[549379259395, -3178695960, -967319, 2358, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 19}
  • id: 570308
    {'charpoly_factorization': [[[1617277673216, -1094614080, -10457312, -820, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 23}
  • id: 570309
    {'charpoly_factorization': [[[-68754658055795, -39473351390, 25809191, 11242, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 29}
  • id: 570310
    {'charpoly_factorization': [[[-359931581838545, -35306892310, 71696039, 17096, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 31}
  • id: 570311
    {'charpoly_factorization': [[[15784417781505, 115294864830, 79022959, 16194, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 37}
  • id: 570312
    {'charpoly_factorization': [[[-24654312224940191, -2299203223414, 245242247, 34262, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 41}
  • id: 570313
    {'charpoly_factorization': [[[57799751431302144, 1542461614848, -522910192, -5396, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 43}
  • id: 570314
    {'charpoly_factorization': [[[60999678886683839, 2644651823416, -514176703, -8898, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 47}
  • id: 570315
    {'charpoly_factorization': [[[328857200944911101, -18696711528926, -1530481629, 12274, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 53}
  • id: 570316
    {'charpoly_factorization': [[[908089482005510255, 4713377743360, -2117127039, -8222, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 59}
  • id: 570317
    {'charpoly_factorization': [[[2325390902253405, 40446392109270, 95201819, -68186, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 61}
  • id: 570318
    {'charpoly_factorization': [[[-1623057986285364224, 116864014146432, 8870859504, 167868, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 67}
  • id: 570319
    {'charpoly_factorization': [[[-233776764078954561, -21450899849262, 1005759643, 96324, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 71}
  • id: 570320
    {'charpoly_factorization': [[[-311813005197640995, -108280781605650, -3066362029, 33278, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 73}
  • id: 570321
    {'charpoly_factorization': [[[1336085943677365095, -177017641766490, 8266108471, -158272, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 79}
  • id: 570322
    {'charpoly_factorization': [[[-3237849738371140549, -113908144612154, 11188648731, -196304, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 83}
  • id: 570323
    {'charpoly_factorization': [[[5583313806005618000, 638051983688800, 22579911720, 267400, 1], 1]], 'hecke_orbit_code': 54043195629109490, 'p': 89}
  • id: 570324
    {'charpoly_factorization': [[[1317404653627465161, -28890421766778, -8277019801, 26738, 1], 1]], 'hecke_orbit_code': 54043195629109490, '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': 13, 'label': '242.6.a.m', 'level': 242, 'portrait': 'data:image/png;base64,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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 58003537
    {'hecke_orbit_code': 54043195629109490, 'n': 1, 'trace_an': 4}
  • id: 58003538
    {'hecke_orbit_code': 54043195629109490, 'n': 2, 'trace_an': 16}
  • id: 58003539
    {'hecke_orbit_code': 54043195629109490, 'n': 3, 'trace_an': -10}
  • id: 58003540
    {'hecke_orbit_code': 54043195629109490, 'n': 4, 'trace_an': 64}
  • id: 58003541
    {'hecke_orbit_code': 54043195629109490, 'n': 5, 'trace_an': -150}
  • id: 58003542
    {'hecke_orbit_code': 54043195629109490, 'n': 6, 'trace_an': -40}
  • id: 58003543
    {'hecke_orbit_code': 54043195629109490, 'n': 7, 'trace_an': -34}
  • id: 58003544
    {'hecke_orbit_code': 54043195629109490, 'n': 8, 'trace_an': 256}
  • id: 58003545
    {'hecke_orbit_code': 54043195629109490, 'n': 9, 'trace_an': 302}
  • id: 58003546
    {'hecke_orbit_code': 54043195629109490, 'n': 10, 'trace_an': -600}
  • id: 58003547
    {'hecke_orbit_code': 54043195629109490, 'n': 11, 'trace_an': 0}
  • id: 58003548
    {'hecke_orbit_code': 54043195629109490, 'n': 12, 'trace_an': -160}
  • id: 58003549
    {'hecke_orbit_code': 54043195629109490, 'n': 13, 'trace_an': 138}
  • id: 58003550
    {'hecke_orbit_code': 54043195629109490, 'n': 14, 'trace_an': -136}
  • id: 58003551
    {'hecke_orbit_code': 54043195629109490, 'n': 15, 'trace_an': 206}
  • id: 58003552
    {'hecke_orbit_code': 54043195629109490, 'n': 16, 'trace_an': 1024}
  • id: 58003553
    {'hecke_orbit_code': 54043195629109490, 'n': 17, 'trace_an': -370}
  • id: 58003554
    {'hecke_orbit_code': 54043195629109490, 'n': 18, 'trace_an': 1208}
  • id: 58003555
    {'hecke_orbit_code': 54043195629109490, 'n': 19, 'trace_an': -2358}
  • id: 58003556
    {'hecke_orbit_code': 54043195629109490, 'n': 20, 'trace_an': -2400}
  • id: 58003557
    {'hecke_orbit_code': 54043195629109490, 'n': 21, 'trace_an': -5162}
  • id: 58003558
    {'hecke_orbit_code': 54043195629109490, 'n': 22, 'trace_an': 0}
  • id: 58003559
    {'hecke_orbit_code': 54043195629109490, 'n': 23, 'trace_an': 820}
  • id: 58003560
    {'hecke_orbit_code': 54043195629109490, 'n': 24, 'trace_an': -640}
  • id: 58003561
    {'hecke_orbit_code': 54043195629109490, 'n': 25, 'trace_an': 1114}
  • id: 58003562
    {'hecke_orbit_code': 54043195629109490, 'n': 26, 'trace_an': 552}
  • id: 58003563
    {'hecke_orbit_code': 54043195629109490, 'n': 27, 'trace_an': -7810}
  • id: 58003564
    {'hecke_orbit_code': 54043195629109490, 'n': 28, 'trace_an': -544}
  • id: 58003565
    {'hecke_orbit_code': 54043195629109490, 'n': 29, 'trace_an': -11242}
  • id: 58003566
    {'hecke_orbit_code': 54043195629109490, 'n': 30, 'trace_an': 824}
  • id: 58003567
    {'hecke_orbit_code': 54043195629109490, 'n': 31, 'trace_an': -17096}
  • id: 58003568
    {'hecke_orbit_code': 54043195629109490, 'n': 32, 'trace_an': 4096}
  • id: 58003569
    {'hecke_orbit_code': 54043195629109490, 'n': 33, 'trace_an': 0}
  • id: 58003570
    {'hecke_orbit_code': 54043195629109490, 'n': 34, 'trace_an': -1480}
  • id: 58003571
    {'hecke_orbit_code': 54043195629109490, 'n': 35, 'trace_an': -9238}
  • id: 58003572
    {'hecke_orbit_code': 54043195629109490, 'n': 36, 'trace_an': 4832}
  • id: 58003573
    {'hecke_orbit_code': 54043195629109490, 'n': 37, 'trace_an': -16194}
  • id: 58003574
    {'hecke_orbit_code': 54043195629109490, 'n': 38, 'trace_an': -9432}
  • id: 58003575
    {'hecke_orbit_code': 54043195629109490, 'n': 39, 'trace_an': -15446}
  • id: 58003576
    {'hecke_orbit_code': 54043195629109490, 'n': 40, 'trace_an': -9600}
  • id: 58003577
    {'hecke_orbit_code': 54043195629109490, 'n': 41, 'trace_an': -34262}
  • id: 58003578
    {'hecke_orbit_code': 54043195629109490, 'n': 42, 'trace_an': -20648}
  • id: 58003579
    {'hecke_orbit_code': 54043195629109490, 'n': 43, 'trace_an': 5396}
  • id: 58003580
    {'hecke_orbit_code': 54043195629109490, 'n': 44, 'trace_an': 0}
  • id: 58003581
    {'hecke_orbit_code': 54043195629109490, 'n': 45, 'trace_an': -33940}
  • id: 58003582
    {'hecke_orbit_code': 54043195629109490, 'n': 46, 'trace_an': 3280}
  • id: 58003583
    {'hecke_orbit_code': 54043195629109490, 'n': 47, 'trace_an': 8898}
  • id: 58003584
    {'hecke_orbit_code': 54043195629109490, 'n': 48, 'trace_an': -2560}
  • id: 58003585
    {'hecke_orbit_code': 54043195629109490, 'n': 49, 'trace_an': -22538}
  • id: 58003586
    {'hecke_orbit_code': 54043195629109490, 'n': 50, 'trace_an': 4456}
  • id: 58003587
    {'hecke_orbit_code': 54043195629109490, 'n': 51, 'trace_an': -62378}
  • id: 58003588
    {'hecke_orbit_code': 54043195629109490, 'n': 52, 'trace_an': 2208}
  • id: 58003589
    {'hecke_orbit_code': 54043195629109490, 'n': 53, 'trace_an': -12274}
  • id: 58003590
    {'hecke_orbit_code': 54043195629109490, 'n': 54, 'trace_an': -31240}
  • id: 58003591
    {'hecke_orbit_code': 54043195629109490, 'n': 55, 'trace_an': 0}
  • id: 58003592
    {'hecke_orbit_code': 54043195629109490, 'n': 56, 'trace_an': -2176}
  • id: 58003593
    {'hecke_orbit_code': 54043195629109490, 'n': 57, 'trace_an': 87082}
  • id: 58003594
    {'hecke_orbit_code': 54043195629109490, 'n': 58, 'trace_an': -44968}
  • id: 58003595
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  • id: 58003596
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  • id: 58003597
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  • id: 58003598
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  • id: 58003599
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  • id: 58003600
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  • id: 58003601
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  • id: 58003602
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  • id: 58003603
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  • id: 58003604
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  • id: 58003605
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  • id: 58003606
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  • id: 58003607
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  • id: 58003608
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  • id: 58003609
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  • id: 58003610
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  • id: 58003611
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  • id: 58003612
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  • id: 58003613
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  • id: 58003614
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  • id: 58003615
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  • id: 58003616
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  • id: 58003617
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  • id: 58003618
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  • id: 58003619
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  • id: 58003620
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  • id: 58003621
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  • id: 58003622
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  • id: 58003623
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  • id: 58003624
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  • id: 58003625
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  • id: 58003626
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  • id: 58003627
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  • id: 58003628
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  • id: 58003629
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  • id: 58003630
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  • id: 58003631
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  • id: 58003632
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  • id: 58003633
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  • id: 58003634
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  • id: 58003635
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  • id: 58003636
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  • id: 58003637
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  • id: 58003638
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  • id: 58003639
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  • id: 58003640
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  • id: 58003641
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  • id: 58003642
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  • id: 58003643
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  • id: 58003644
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  • id: 58003645
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  • id: 58003646
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  • id: 58003647
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  • id: 58003648
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  • id: 58003649
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  • id: 58003650
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  • id: 58003651
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  • id: 58003652
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  • id: 58003653
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  • id: 58003654
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  • id: 58003655
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  • id: 58003656
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  • id: 58003657
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  • id: 58003658
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  • id: 58003659
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  • id: 58003660
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  • id: 58003661
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  • id: 58003662
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  • id: 58003663
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  • id: 58003664
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  • id: 58003665
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  • id: 58003666
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  • id: 58003667
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  • id: 58003668
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  • id: 58003669
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  • id: 58003670
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  • id: 58003671
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  • id: 58003672
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  • id: 58003673
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  • id: 58003674
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  • id: 58003675
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  • id: 58003676
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  • id: 58003677
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  • id: 58003678
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  • id: 58003679
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  • id: 58003680
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  • id: 58003681
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  • id: 58003682
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  • id: 58003683
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  • id: 58003684
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  • id: 58003685
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  • id: 58003686
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  • id: 58003687
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  • id: 58003688
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  • id: 58003689
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  • id: 58003690
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  • id: 58003691
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  • id: 58003692
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  • id: 58003693
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  • id: 58003694
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  • id: 58003695
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  • id: 58003696
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  • id: 58003697
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  • id: 58003698
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  • id: 58003699
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  • id: 58003700
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  • id: 58003701
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  • id: 58003702
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  • id: 58003703
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  • id: 58003704
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  • id: 58003705
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  • id: 58003706
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  • id: 58003707
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  • id: 58003708
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  • id: 58003709
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  • id: 58003710
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  • id: 58003711
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  • id: 58003712
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  • id: 58003713
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  • id: 58003714
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  • id: 58003715
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  • id: 58003716
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  • id: 58003717
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  • id: 58003718
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  • id: 58003719
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  • id: 58003720
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  • id: 58003721
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  • id: 58003722
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  • id: 58003723
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  • id: 58003724
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  • id: 58003725
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  • id: 58003726
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  • id: 58003727
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  • id: 58003728
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  • id: 58003729
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  • id: 58003730
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  • id: 58003731
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  • id: 58003732
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  • id: 58003733
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  • id: 58003734
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  • id: 58003735
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  • id: 58003736
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  • id: 58003737
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  • id: 58003738
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  • id: 58003739
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  • id: 58003740
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  • id: 58003741
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  • id: 58003742
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  • id: 58003743
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  • id: 58003744
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  • id: 58003745
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  • id: 58003746
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  • id: 58003747
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  • id: 58003748
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  • id: 58003750
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  • id: 58003770
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  • id: 58003771
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  • id: 58003772
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  • id: 58003773
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  • id: 58003776
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  • id: 58003780
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  • id: 58003781
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  • id: 58003783
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  • id: 58003784
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  • id: 58003785
    {'hecke_orbit_code': 54043195629109490, 'n': 941, 'trace_an': 55130842}
  • id: 58003786
    {'hecke_orbit_code': 54043195629109490, 'n': 947, 'trace_an': 57230312}
  • id: 58003787
    {'hecke_orbit_code': 54043195629109490, 'n': 953, 'trace_an': 30021934}
  • id: 58003788
    {'hecke_orbit_code': 54043195629109490, 'n': 961, 'trace_an': 34364534}
  • id: 58003789
    {'hecke_orbit_code': 54043195629109490, 'n': 967, 'trace_an': -2259660}
  • id: 58003790
    {'hecke_orbit_code': 54043195629109490, 'n': 971, 'trace_an': -15562554}
  • id: 58003791
    {'hecke_orbit_code': 54043195629109490, 'n': 977, 'trace_an': 34221890}
  • id: 58003792
    {'hecke_orbit_code': 54043195629109490, 'n': 983, 'trace_an': 26489794}
  • id: 58003793
    {'hecke_orbit_code': 54043195629109490, 'n': 991, 'trace_an': 16396984}
  • id: 58003794
    {'hecke_orbit_code': 54043195629109490, 'n': 997, 'trace_an': -66864970}