Embedded newform data - 336.6.a.l.1.1

Formats: - HTML - YAML - JSON - 2024-10-14T07:40:22.406570

• 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': 12096, 'analytic_conductor': 53.888963457161495, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [7, -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': [336, 1, [127, 85, 113, 241], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [34, 1]], [11, [-340, 1]]], 'hecke_orbit': 12, 'hecke_orbit_code': 49539596001739088, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '336.6.a.l', 'level': 336, '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, 3, 7], 'level_radical': 42, 'minimal_twist': '21.6.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+9q^{3}-34q^{5}+7^{2}q^{7}+3^{4}q^{9}+340q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '336.6.a', 'trace_display': [0, 9, -34, 49], 'trace_hash': 724262674520377767, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.958', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.871', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.619', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [1, 0, 9, 0, -34, 0, 49, 0, 81, 0, 340, 0, 454, 0, -306, 0, -798, 0, -892, 0, 441, 0, 3192, 0, -1969, 0, 729, 0, -8242, 0, 2496, 0, 3060, 0, -1666, 0, 9798, 0, 4086, 0, 19834, 0, 17236, 0, -2754, 0, -8928, 0, 2401, 0, -7182, 0, 150, 0, -11560, 0, -8028, 0, 42396, 0, 14758, 0, 3969, 0, -15436, 0, 1676, 0, 28728, 0, -14568, 0, 78378, 0, -17721, 0, 16660, 0, 2272, 0, 6561, 0, 37764, 0, 27132, 0, -74178, 0, -117286, 0, 22246, 0, 22464, 0, 30328, 0, 10002, 0, 27540, 0, -108770, 0, 199192, 0, -14994, 0, 79972, 0, -46098, 0, 88182, 0, 262706, 0, -108528, 0, 36774, 0, -39102, 0, -45451, 0, 178506, 0, 173196, 0, -196608, 0, 155124, 0, 77140, 0, -43708, 0, -24786, 0, 208170, 0, 275580, 0, -80352, 0, 154360, 0, 280228, 0, 21609, 0, -296106, 0, 426472, 0, -64638, 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'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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'angles': [None, None, -0.2991787261252064, None, -0.1803811816620365, -0.18924426828653051, -0.3043428620292633, -0.2957367262993105, -0.141713690925723, -0.4319321513601041, -0.2125329693085185, -0.1498975708060508, -0.06354720392510461, -0.12417101671510093, -0.29762109406230725, -0.24941629596615983, -0.1043106664624577, -0.20914230896578204, -0.2463699316769678, -0.277428121473482, -0.08500989983403032, -0.2467404241150453, -0.20136450681808865, -0.3936089045688719, -0.24140672550870917, -0.33899567784457924, -0.06202601090872369, -0.19518638649401326, -0.27974660819173913, -0.04055691906437152, -0.3409451468493913, -0.21854259035156237, -0.17144262286101064, -0.14660734120175117, -0.3419869339441628, -0.11233994371118661, -0.20334667408458093, -0.310764924250279, -0.3745005221727495, -0.2954594761910619, -0.228856521076803, -0.11448336936707608, -0.33360439564769984, -0.31859530023029825, -0.26932596804666253, -0.29304897030744986, -0.06991097553011928, -0.29332995659258315, 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-0.21315843678512397, -0.2583019570443947, -0.13075811578310742, -0.2341852967766188, -0.3322774521633159, -0.14720502068298966, -0.10347616864354485, -0.11752306635127859, -0.2523492513283308, -0.23461791148637848, -0.3403940138514548, -0.3529252324035141, -0.37622621134809225, -0.2647759886876939, -0.31489874198707907, -0.2268380618999946, -0.28072909250835715, -0.16382192373466836, -0.4098316133336299, -0.0860431395583247, -0.32604235724085784, -0.2060317264973982, -0.23433556154890164, -0.2855747260026719, -0.29607915604208423, -0.21370482770369603, -0.15452030934385905, -0.24777974513566475], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 12, 'hecke_orbit_code': 49539596001739088, 'label': '336.6.a.l.1.1', 'level': 336, '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': [3, 4, 4, 3, 4, 4, 3, 5], 'Nk2': 12096, 'analytic_conductor': 53.888963457161495, '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': [336, 1, [127, 85, 113, 241], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 308, 'dim': 30, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11], 'hecke_orbit_code': 100663632, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2], 'label': '336.6.a', 'level': 336, '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, 3, 7], 'level_radical': 42, 'mf_dim': 332, 'mf_new_dim': 30, 'num_forms': 24, 'plus_dim': 13, 'prim_orbit_index': 1, 'relative_dim': 30, 'sturm_bound': 384, 'trace_bound': 7, 'trace_display': [0, 0, -76, 98], 'traces': [30, 0, 0, 0, -76, 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-3368260, 0, 3860948, 0, -9533160, 0, 8628584, 0, 4551272, 0, 4038192, 0, -15062352, 0, 317912, 0, -445176, 0, -2886212, 0, -8450168, 0, -2734344, 0, -10289104, 0, 9683332, 0, 2547216, 0, -10360804, 0, 12813712, 0, -498636, 0, 6457544, 0, 3975036, 0, 5609304, 0, 0, 0, 16984784, 0, 3094056, 0, -4172008, 0, -7677764, 0, -406296, 0, 10333796, 0, -7163604, 0, 2224080, 0, 24670812, 0, 6552748, 0, 7236504, 0, 25848112, 0, -21268928, 0, 5834430, 0, -24026596, 0, 14544752, 0, -13028976, 0, -673396, 0, -13630744, 0, -5408352, 0, 11926992, 0, -4583348, 0, -1682532, 0, 2931668, 0, -13745976, 0, 12690432, 0, 13790824, 0, -7075992, 0, 5221872, 0, -6771376, 0, 31940056, 0, 5262732, 0, 35051752, 0, 14632584, 0, -2799468, 0, 34244664, 0, 22848640, 0, -5101056, 0, -871300, 0, 4921640, 0, -5703048, 0, 217952, 0, -16411976, 0, -13478400, 0, -10053008, 0, -24983312, 0, 2655072, 0, -22077884, 0, 7311388, 0, 0, 0, -27845664, 0, -29910640, 0, -6077700, 0, 15568380, 0, 59540224, 0, 4872168, 0, 25503136, 0, 32572342, 0, 7291944, 0, -306280, 0, 1862328, 0, -9740304, 0, -1450204, 0, 30939116, 0, 3665160, 0, 878104, 0, 36921120, 0, -5378076, 0, -52973744, 0, -7856464, 0, -5069304, 0, -22011076, 0, -30200912, 0, 12451032, 0, 4750968, 0, -6896312, 0, 642978, 0, 22059980, 0, -63405344, 0, 8567712, 0, -54683060, 0, -5923620, 0, 21088512, 0, 549584, 0, 37307112, 0, -7039224, 0, 10288248, 0, -5269920, 0, 13529664, 0, -41952084, 0, -22280888, 0, -17008848, 0, 33577948, 0, -9077620, 0, 4450464, 0, -42375532, 0, -65804720, 0, 2077992, 0, -34546064, 0, -27341196, 0, 16395552, 0, 49521500, 0, -61086912, 0, 1807920, 0, 11100264, 0, 2407694, 0, -48256416, 0, 9311512, 0, -26930776, 0, -29326320, 0, 106995248, 0, 585844, 0, 1527660, 0, -20384884, 0, -48178024, 0, -11637648, 0, 28557048, 0, -24028848, 0, -10171224, 0, -50814308, 0, 64931824, 0, 2039580, 0, 54965124, 0, -8855484, 0, -35297640, 0, 2867872, 0, -66006808, 0, 12353904, 0, -30511784, 0, 973876, 0, -7826544, 0, 101378516, 0, 29108940, 0, 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-36764928, 0, -970004, 0, -121957328, 0, -64152, 0, -120901912, 0, -11742254, 0, -47937240, 0, -15078932, 0, 57800106, 0, 77004720, 0, -120483960, 0, -2354428, 0, -25763184, 0, 36278652, 0, 111532696, 0, -11254320, 0, 204074420, 0, -17413136, 0, -28429488, 0, 111171376, 0, -10911488, 0, -6215940, 0, -105630672, 0, 9140644, 0, 77230764, 0, -15380212, 0, 113019992, 0, -74898432, 0, -220209496, 0, 30578352, 0, -3962844, 0, 100885088, 0, 84335560, 0, -10245456, 0, -71633872, 0, -27133480, 0, 13046544, 0, -722552, 0, -46685064, 0, 14588100, 0, -59571332, 0, 149296288, 0, 101710296, 0, 10883488, 0, 117139408, 0, 3550896, 0, 189246760, 0, -41300924, 0, 21730680, 0, 27920412, 0, -5666360, 0, -50426784, 0, 213952352, 0, 7268700, 0, 52420176, 0, 13979028, 0, -328005560, 0, 0, 0, -119559532, 0, 17081544, 0, -72904032, 0, -9851636, 0, -83865048, 0, 71668368, 0, 83112428, 0, 36145950, 0, 33757236, 0, 56352312, 0, 2162744, 0, -125997552, 0, 265168688, 0, -37276064, 0, 25551288, 0, 27017836, 0, 232603944, 0, 6074676, 0, 110045600, 0, 6821736, 0, -23380056, 0, -71751024, 0, 87053504, 0, 40231584, 0, 69795488, 0, -143127068, 0, 0, 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: 47361434
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739088, 'source_is_minimal': False, 'source_label': '336.6.a.l.1.1', 'source_level': 336, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539596001739088, 'target_is_minimal': False, 'target_label': '336.6.a.l.1.1', 'target_level': 336, 'twist_class_label': '21.6.a.b.1.1', 'twist_class_level': 21, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 47361435
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739088, 'source_is_minimal': False, 'source_label': '336.6.a.l.1.1', 'source_level': 336, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 85568393020703728, 'target_is_minimal': False, 'target_label': '1008.6.a.t.1.1', 'target_level': 1008, 'twist_class_label': '21.6.a.b.1.1', 'twist_class_level': 21, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 47361436
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739088, 'source_is_minimal': False, 'source_label': '336.6.a.l.1.1', 'source_level': 336, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599728033813, 'target_is_minimal': True, 'target_label': '21.6.a.b.1.1', 'target_level': 21, 'twist_class_label': '21.6.a.b.1.1', 'twist_class_level': 21, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 47361437
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739088, 'source_is_minimal': False, 'source_label': '336.6.a.l.1.1', 'source_level': 336, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199355404351, 'target_is_minimal': False, 'target_label': '63.6.a.c.1.1', 'target_level': 63, 'twist_class_label': '21.6.a.b.1.1', 'twist_class_level': 21, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 6}
  • id: 47361438
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739088, 'source_is_minimal': False, 'source_label': '336.6.a.l.1.1', 'source_level': 336, 'target_conrey_index': 274, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511005141205517, 'target_is_minimal': False, 'target_label': '525.6.d.d.274.1', 'target_level': 525, 'twist_class_label': '21.6.a.b.1.1', 'twist_class_level': 21, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 47361439
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739088, 'source_is_minimal': False, 'source_label': '336.6.a.l.1.1', 'source_level': 336, 'target_conrey_index': 274, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511005141205517, 'target_is_minimal': False, 'target_label': '525.6.d.d.274.2', 'target_level': 525, 'twist_class_label': '21.6.a.b.1.1', 'twist_class_level': 21, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 6}
  • id: 47361440
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739088, 'source_is_minimal': False, 'source_label': '336.6.a.l.1.1', 'source_level': 336, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199355404813, 'target_is_minimal': False, 'target_label': '525.6.a.c.1.1', 'target_level': 525, 'twist_class_label': '21.6.a.b.1.1', 'twist_class_level': 21, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 6}
  • id: 47361441
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739088, 'source_is_minimal': False, 'source_label': '336.6.a.l.1.1', 'source_level': 336, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014673488052371, 'target_is_minimal': False, 'target_label': '147.6.e.e.79.1', 'target_level': 147, 'twist_class_label': '21.6.a.b.1.1', 'twist_class_level': 21, 'twisting_char_label': '28.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 47361442
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739088, 'source_is_minimal': False, 'source_label': '336.6.a.l.1.1', 'source_level': 336, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518273115422867, 'target_is_minimal': False, 'target_label': '147.6.e.f.79.1', 'target_level': 147, 'twist_class_label': '21.6.a.b.1.1', 'twist_class_level': 21, 'twisting_char_label': '28.11', 'twisting_conrey_index': 11, 'weight': 6}
  • id: 47361443
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739088, 'source_is_minimal': False, 'source_label': '336.6.a.l.1.1', 'source_level': 336, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014673488052371, 'target_is_minimal': False, 'target_label': '147.6.e.e.67.1', 'target_level': 147, 'twist_class_label': '21.6.a.b.1.1', 'twist_class_level': 21, 'twisting_char_label': '28.19', 'twisting_conrey_index': 19, 'weight': 6}
  • id: 47361444
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739088, 'source_is_minimal': False, 'source_label': '336.6.a.l.1.1', 'source_level': 336, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518273115422867, 'target_is_minimal': False, 'target_label': '147.6.e.f.67.1', 'target_level': 147, 'twist_class_label': '21.6.a.b.1.1', 'twist_class_level': 21, 'twisting_char_label': '28.23', 'twisting_conrey_index': 23, 'weight': 6}
  • id: 47361445
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739088, 'source_is_minimal': False, 'source_label': '336.6.a.l.1.1', 'source_level': 336, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398610145427, 'target_is_minimal': False, 'target_label': '147.6.a.e.1.1', 'target_level': 147, 'twist_class_label': '21.6.a.b.1.1', 'twist_class_level': 21, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 6}
  • id: 47361446
    {'conductor': 84, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539596001739088, 'source_is_minimal': False, 'source_label': '336.6.a.l.1.1', 'source_level': 336, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798982775225, 'target_is_minimal': False, 'target_label': '441.6.a.d.1.1', 'target_level': 441, 'twist_class_label': '21.6.a.b.1.1', 'twist_class_level': 21, 'twisting_char_label': '84.83', 'twisting_conrey_index': 83, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 659875
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 2}
  • id: 659876
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 3}
  • id: 659877
    {'charpoly_factorization': [[[34, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 5}
  • id: 659878
    {'charpoly_factorization': [[[-49, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 7}
  • id: 659879
    {'charpoly_factorization': [[[-340, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 11}
  • id: 659880
    {'charpoly_factorization': [[[-454, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 13}
  • id: 659881
    {'charpoly_factorization': [[[798, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 17}
  • id: 659882
    {'charpoly_factorization': [[[892, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 19}
  • id: 659883
    {'charpoly_factorization': [[[-3192, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 23}
  • id: 659884
    {'charpoly_factorization': [[[8242, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 29}
  • id: 659885
    {'charpoly_factorization': [[[-2496, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 31}
  • id: 659886
    {'charpoly_factorization': [[[-9798, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 37}
  • id: 659887
    {'charpoly_factorization': [[[-19834, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 41}
  • id: 659888
    {'charpoly_factorization': [[[-17236, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 43}
  • id: 659889
    {'charpoly_factorization': [[[8928, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 47}
  • id: 659890
    {'charpoly_factorization': [[[-150, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 53}
  • id: 659891
    {'charpoly_factorization': [[[-42396, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 59}
  • id: 659892
    {'charpoly_factorization': [[[-14758, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 61}
  • id: 659893
    {'charpoly_factorization': [[[-1676, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 67}
  • id: 659894
    {'charpoly_factorization': [[[14568, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 71}
  • id: 659895
    {'charpoly_factorization': [[[-78378, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 73}
  • id: 659896
    {'charpoly_factorization': [[[-2272, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 79}
  • id: 659897
    {'charpoly_factorization': [[[-37764, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 83}
  • id: 659898
    {'charpoly_factorization': [[[117286, 1], 1]], 'hecke_orbit_code': 49539596001739088, 'p': 89}
  • id: 659899
    {'charpoly_factorization': [[[-10002, 1], 1]], 'hecke_orbit_code': 49539596001739088, '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': 12, 'label': '336.6.a.l', 'level': 336, '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: 56717665
    {'hecke_orbit_code': 49539596001739088, 'n': 1, 'trace_an': 1}
  • id: 56717666
    {'hecke_orbit_code': 49539596001739088, 'n': 2, 'trace_an': 0}
  • id: 56717667
    {'hecke_orbit_code': 49539596001739088, 'n': 3, 'trace_an': 9}
  • id: 56717668
    {'hecke_orbit_code': 49539596001739088, 'n': 4, 'trace_an': 0}
  • id: 56717669
    {'hecke_orbit_code': 49539596001739088, 'n': 5, 'trace_an': -34}
  • id: 56717670
    {'hecke_orbit_code': 49539596001739088, 'n': 6, 'trace_an': 0}
  • id: 56717671
    {'hecke_orbit_code': 49539596001739088, 'n': 7, 'trace_an': 49}
  • id: 56717672
    {'hecke_orbit_code': 49539596001739088, 'n': 8, 'trace_an': 0}
  • id: 56717673
    {'hecke_orbit_code': 49539596001739088, 'n': 9, 'trace_an': 81}
  • id: 56717674
    {'hecke_orbit_code': 49539596001739088, 'n': 10, 'trace_an': 0}
  • id: 56717675
    {'hecke_orbit_code': 49539596001739088, 'n': 11, 'trace_an': 340}
  • id: 56717676
    {'hecke_orbit_code': 49539596001739088, 'n': 12, 'trace_an': 0}
  • id: 56717677
    {'hecke_orbit_code': 49539596001739088, 'n': 13, 'trace_an': 454}
  • id: 56717678
    {'hecke_orbit_code': 49539596001739088, 'n': 14, 'trace_an': 0}
  • id: 56717679
    {'hecke_orbit_code': 49539596001739088, 'n': 15, 'trace_an': -306}
  • id: 56717680
    {'hecke_orbit_code': 49539596001739088, 'n': 16, 'trace_an': 0}
  • id: 56717681
    {'hecke_orbit_code': 49539596001739088, 'n': 17, 'trace_an': -798}
  • id: 56717682
    {'hecke_orbit_code': 49539596001739088, 'n': 18, 'trace_an': 0}
  • id: 56717683
    {'hecke_orbit_code': 49539596001739088, 'n': 19, 'trace_an': -892}
  • id: 56717684
    {'hecke_orbit_code': 49539596001739088, 'n': 20, 'trace_an': 0}
  • id: 56717685
    {'hecke_orbit_code': 49539596001739088, 'n': 21, 'trace_an': 441}
  • id: 56717686
    {'hecke_orbit_code': 49539596001739088, 'n': 22, 'trace_an': 0}
  • id: 56717687
    {'hecke_orbit_code': 49539596001739088, 'n': 23, 'trace_an': 3192}
  • id: 56717688
    {'hecke_orbit_code': 49539596001739088, 'n': 24, 'trace_an': 0}
  • id: 56717689
    {'hecke_orbit_code': 49539596001739088, 'n': 25, 'trace_an': -1969}
  • id: 56717690
    {'hecke_orbit_code': 49539596001739088, 'n': 26, 'trace_an': 0}
  • id: 56717691
    {'hecke_orbit_code': 49539596001739088, 'n': 27, 'trace_an': 729}
  • id: 56717692
    {'hecke_orbit_code': 49539596001739088, 'n': 28, 'trace_an': 0}
  • id: 56717693
    {'hecke_orbit_code': 49539596001739088, 'n': 29, 'trace_an': -8242}
  • id: 56717694
    {'hecke_orbit_code': 49539596001739088, 'n': 30, 'trace_an': 0}
  • id: 56717695
    {'hecke_orbit_code': 49539596001739088, 'n': 31, 'trace_an': 2496}
  • id: 56717696
    {'hecke_orbit_code': 49539596001739088, 'n': 32, 'trace_an': 0}
  • id: 56717697
    {'hecke_orbit_code': 49539596001739088, 'n': 33, 'trace_an': 3060}
  • id: 56717698
    {'hecke_orbit_code': 49539596001739088, 'n': 34, 'trace_an': 0}
  • id: 56717699
    {'hecke_orbit_code': 49539596001739088, 'n': 35, 'trace_an': -1666}
  • id: 56717700
    {'hecke_orbit_code': 49539596001739088, 'n': 36, 'trace_an': 0}
  • id: 56717701
    {'hecke_orbit_code': 49539596001739088, 'n': 37, 'trace_an': 9798}
  • id: 56717702
    {'hecke_orbit_code': 49539596001739088, 'n': 38, 'trace_an': 0}
  • id: 56717703
    {'hecke_orbit_code': 49539596001739088, 'n': 39, 'trace_an': 4086}
  • id: 56717704
    {'hecke_orbit_code': 49539596001739088, 'n': 40, 'trace_an': 0}
  • id: 56717705
    {'hecke_orbit_code': 49539596001739088, 'n': 41, 'trace_an': 19834}
  • id: 56717706
    {'hecke_orbit_code': 49539596001739088, 'n': 42, 'trace_an': 0}
  • id: 56717707
    {'hecke_orbit_code': 49539596001739088, 'n': 43, 'trace_an': 17236}
  • id: 56717708
    {'hecke_orbit_code': 49539596001739088, 'n': 44, 'trace_an': 0}
  • id: 56717709
    {'hecke_orbit_code': 49539596001739088, 'n': 45, 'trace_an': -2754}
  • id: 56717710
    {'hecke_orbit_code': 49539596001739088, 'n': 46, 'trace_an': 0}
  • id: 56717711
    {'hecke_orbit_code': 49539596001739088, 'n': 47, 'trace_an': -8928}
  • id: 56717712
    {'hecke_orbit_code': 49539596001739088, 'n': 48, 'trace_an': 0}
  • id: 56717713
    {'hecke_orbit_code': 49539596001739088, 'n': 49, 'trace_an': 2401}
  • id: 56717714
    {'hecke_orbit_code': 49539596001739088, 'n': 50, 'trace_an': 0}
  • id: 56717715
    {'hecke_orbit_code': 49539596001739088, 'n': 51, 'trace_an': -7182}
  • id: 56717716
    {'hecke_orbit_code': 49539596001739088, 'n': 52, 'trace_an': 0}
  • id: 56717717
    {'hecke_orbit_code': 49539596001739088, 'n': 53, 'trace_an': 150}
  • id: 56717718
    {'hecke_orbit_code': 49539596001739088, 'n': 54, 'trace_an': 0}
  • id: 56717719
    {'hecke_orbit_code': 49539596001739088, 'n': 55, 'trace_an': -11560}
  • id: 56717720
    {'hecke_orbit_code': 49539596001739088, 'n': 56, 'trace_an': 0}
  • id: 56717721
    {'hecke_orbit_code': 49539596001739088, 'n': 57, 'trace_an': -8028}
  • id: 56717722
    {'hecke_orbit_code': 49539596001739088, 'n': 58, 'trace_an': 0}
  • id: 56717723
    {'hecke_orbit_code': 49539596001739088, 'n': 59, 'trace_an': 42396}
  • id: 56717724
    {'hecke_orbit_code': 49539596001739088, 'n': 60, 'trace_an': 0}
  • id: 56717725
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  • id: 56717730
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  • id: 56717732
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  • id: 56717733
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  • id: 56717734
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  • id: 56717735
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  • id: 56717739
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  • id: 56717741
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  • id: 56717742
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  • id: 56717743
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  • id: 56717744
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  • id: 56717745
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  • id: 56717746
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  • id: 56717747
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  • id: 56717748
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  • id: 56717749
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  • id: 56717750
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  • id: 56717751
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  • id: 56717760
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  • id: 56717761
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  • id: 56717763
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  • id: 56717764
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  • id: 56717765
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  • id: 56717766
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  • id: 56717767
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  • id: 56717768
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  • id: 56717769
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  • id: 56717771
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  • id: 56717772
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  • id: 56717778
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  • id: 56717787
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  • id: 56717788
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  • id: 56717789
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  • id: 56717791
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  • id: 56717792
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  • id: 56717793
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  • id: 56717799
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  • id: 56717800
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  • id: 56717801
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  • id: 56717802
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  • id: 56717803
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  • id: 56717804
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  • id: 56717805
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  • id: 56717806
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  • id: 56717807
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  • id: 56717808
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  • id: 56717809
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  • id: 56717810
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  • id: 56717811
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  • id: 56717812
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  • id: 56717813
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  • id: 56717814
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  • id: 56717815
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  • id: 56717816
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  • id: 56717817
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  • id: 56717818
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  • id: 56717819
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  • id: 56717820
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  • id: 56717821
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  • id: 56717822
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  • id: 56717823
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  • id: 56717824
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  • id: 56717825
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  • id: 56717826
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  • id: 56717827
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  • id: 56717828
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  • id: 56717829
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  • id: 56717830
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  • id: 56717831
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  • id: 56717832
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  • id: 56717833
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  • id: 56717834
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  • id: 56717835
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  • id: 56717836
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  • id: 56717837
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  • id: 56717838
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  • id: 56717839
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  • id: 56717840
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  • id: 56717841
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  • id: 56717842
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  • id: 56717843
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  • id: 56717844
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  • id: 56717847
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  • id: 56717848
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  • id: 56717849
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  • id: 56717850
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  • id: 56717851
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  • id: 56717853
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  • id: 56717854
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  • id: 56717856
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  • id: 56717857
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  • id: 56717858
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  • id: 56717860
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  • id: 56717861
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  • id: 56717864
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  • id: 56717865
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  • id: 56717866
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  • id: 56717881
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  • id: 56717917
    {'hecke_orbit_code': 49539596001739088, 'n': 967, 'trace_an': 5714648}
  • id: 56717918
    {'hecke_orbit_code': 49539596001739088, 'n': 971, 'trace_an': -13024980}
  • id: 56717919
    {'hecke_orbit_code': 49539596001739088, 'n': 977, 'trace_an': -17035950}
  • id: 56717920
    {'hecke_orbit_code': 49539596001739088, 'n': 983, 'trace_an': 13698456}
  • id: 56717921
    {'hecke_orbit_code': 49539596001739088, 'n': 991, 'trace_an': 34908784}
  • id: 56717922
    {'hecke_orbit_code': 49539596001739088, 'n': 997, 'trace_an': 875662}