Embedded newform data - 224.8.a.c.1.2

Formats: - HTML - YAML - JSON - 2025-03-14T17:40:13.323159

• 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': 14336, 'analytic_conductor': 69.97424570844328, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [7, -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': [224, 1, [127, 197, 129], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 5, 'field_disc': 116074451589864768, 'field_disc_factorization': [[2, 6], [3, 4], [7, 2], [11, 1], [13, 1], [3195505211, 1]], 'field_poly': [1733184, 488753, 6482, -1809, -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, [10456992, 4678128, -256536, -6076, 54, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199388958944, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 4096, 'hecke_ring_index_factorization': [[2, 12]], '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': True, 'label': '224.8.a.c', 'level': 224, '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, 7], 'level_radical': 14, 'minimal_twist': '224.8.a.c', 'prim_orbit_index': 1, 'qexp_display': 'q+(-11-\\beta _{1})q^{3}+(17+2\\beta _{1}-\\beta _{3}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 5, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '224.8.a', 'trace_display': [0, -54, 84, 1715], 'trace_hash': 1814420633825088808, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.647', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '61.132', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1250.458', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [5, 0, -54, 0, 84, 0, 1715, 0, 4133, 0, -5324, 0, -9880, 0, -30128, 0, -44322, 0, -22898, 0, -18522, 0, 141016, 0, 150679, 0, -135972, 0, -18998, 0, 167668, 0, 830696, 0, 28812, 0, -434206, 0, -1100728, 0, 44278, 0, -465076, 0, 1823220, 0, -7508, 0, 588245, 0, -65012, 0, -1901986, 0, -4619216, 0, -3116556, 0, -2342994, 0, -553300, 0, 1417619, 0, 1749208, 0, -1908152, 0, -554944, 0, -1721104, 0, 1237634, 0, -19901682, 0, -1826132, 0, -9787808, 0, 4138481, 0, -17717898, 0, -13248184, 0, -25003324, 0, 7408138, 0, -3388840, 0, 13173560, 0, -16659216, 0, -17027554, 0, -58451180, 0, 5475652, 0, -11727740, 0, -10333904, 0, -53159248, 0, -36623006, 0, -7301036, 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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[None, -0.35363559413103424, -0.3480454609789824, None, -0.2957120186753899, -0.28454598146354493, -0.1510279369294797, -0.2587977184037027, -0.2094164334869099, -0.21849202089156566, -0.18482680303549756, -0.09342418074250573, -0.08032228348402273, -0.37015014168397326, -0.37392342107588206, -0.2976596168177987, -0.25361142700296785, -0.2929941675685443, -0.2432514638523529, -0.32672279638423035, -0.18055543754516037, -0.24603753448013202, -0.2881178593919418, -0.24510870271769575, -0.23137475719705247, -0.22064796387995875, -0.3585262896470631, -0.3236770856607453, -0.279127252726952, -0.18813836240800014, -0.2760270817836157, -0.17150651433409575, -0.35818671645587596, -0.3863978899153859, -0.1751343984027676, -0.18571474174192176, -0.19856050348874837, -0.38648847503457573, -0.07167622289320891, -0.37119423118018907, -0.20542822904032215, -0.13620683308597367, -0.3528893763576228, -0.3305745304480145, -0.20110350503856825, -0.1538580915233579, -0.352549546525998, 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• 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': [11, 9, 10, 12], 'Nk2': 14336, 'analytic_conductor': 69.97424570844328, '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': [224, 1, [127, 197, 129], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 216, 'dim': 42, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 134217952, 'hecke_orbit_dims': [4, 4, 5, 5, 6, 6, 6, 6], 'label': '224.8.a', 'level': 224, '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, 7], 'level_radical': 14, 'mf_dim': 232, 'mf_new_dim': 42, 'num_forms': 8, 'plus_dim': 23, 'prim_orbit_index': 1, 'relative_dim': 42, 'sturm_bound': 256, 'trace_bound': 7, 'trace_display': [0, 0, 556, 0], 'traces': [42, 0, 0, 0, 556, 0, 0, 0, 35090, 0, 0, 0, -13108, 0, 0, 0, -56668, 0, 0, 0, 0, 0, 0, 0, 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0, -3321723428, 0, 0, 0, 26219004960, 0, 0, 0, 4861620484, 0, 0, 0, -3994029680, 0, 0, 0, 4128303410, 0, 0, 0, -8643363656, 0, 0, 0, 5054363764, 0, 0, 0, -6487529648, 0, 0, 0, -18858711228, 0, 0, 0, 6412716572, 0, 0, 0, 27445592800, 0, 0, 0, 2334606176, 0, 0, 0, -6610135424, 0, 0, 0, -23729162868, 0, 0, 0, 1856354792, 0, 0, 0, -28511390184, 0, 0, 0, 3175856048, 0, 0, 0, 35675970936, 0, 0, 0, 3968751472, 0, 0, 0, 15446938624, 0, 0, 0, 9833276712, 0, 0, 0, -20859040004, 0, 0, 0, 11364574336, 0, 0, 0, -20035406560, 0, 0, 0, -22652536252, 0, 0, 0, 1493465904, 0, 0, 0, -2728081830, 0, 0, 0, 21581104536, 0, 0, 0, 11708078448, 0, 0, 0, -1207755764, 0, 0, 0, -43272579448, 0, 0, 0, -50967978820, 0, 0, 0, 4407758544, 0, 0, 0, 7057981644, 0, 0, 0, -47025531616, 0, 0, 0, 20816004456, 0, 0, 0, -6350596508, 0, 0, 0, -58052853472, 0, 0, 0, 39461860756, 0, 0, 0, 9891955360, 0, 0, 0, 17181058792, 0, 0, 0, -10699917536, 0, 0, 0, 1474951956, 0, 0, 0, -47292244448, 0, 0, 0, -4549507980, 0, 0, 0, 5530357628, 0, 0, 0, -9425146080, 0, 0, 0, -7488837540, 0, 0, 0, 45935018084, 0, 0, 0, 22333766880, 0, 0, 0, 19192350978, 0, 0, 0, 68897807448, 0, 0, 0, -53618589712, 0, 0, 0, -1542143092, 0, 0, 0, -58768393420, 0, 0, 0, 64691870048, 0, 0, 0, -3566662416, 0, 0, 0, -10320563700, 0, 0, 0, -57700824380, 0, 0, 0, -8954965732, 0, 0, 0, 25989274640, 0, 0, 0, -92894910560, 0, 0, 0, 200286676, 0, 0, 0, 23700394732, 0, 0, 0, -11050953344, 0, 0, 0, -5844721224, 0, 0, 0, -14962574936, 0, 0, 0, 6808215232, 0, 0, 0, 46315726120, 0, 0, 0, -89532073204, 0, 0, 0, 14856161952, 0, 0, 0, 43171111772, 0, 0, 0, 28853791264, 0, 0, 0, 131172560336, 0, 0, 0, -14690289376, 0, 0, 0, 113536726388, 0, 0, 0, 44537904482, 0, 0, 0, 56507549404, 0, 0, 0, 9267248864, 0, 0, 0, -48783268592, 0, 0, 0, -47626126520, 0, 0, 0, -20698398112, 0, 0, 0, -28016091072, 0, 0, 0, 28273658364, 0, 0, 0, 3114403684, 0, 0, 0, 32942146424, 0, 0, 0, -21712918332, 0, 0, 0, -103731458836, 0, 0, 0, 37358791680, 0, 0, 0, -29039701632, 0, 0, 0, -60196148408, 0, 0, 0, -109779836448, 0, 0, 0, -20483884184, 0, 0, 0, -53980527988, 0, 0, 0, 159790429828, 0, 0, 0, 39501026992, 0, 0, 0, 41548296196, 0, 0, 0, 53706058720, 0, 0, 0, 87958899920, 0, 0, 0, 34591481436, 0, 0, 0, 37077376112, 0, 0, 0, 103511259516, 0, 0, 0, -6666933532, 0, 0, 0, -33073766464, 0, 0, 0, 63919703606, 0, 0, 0, 39580629988, 0, 0, 0, 204581666720, 0, 0, 0, 24202137948, 0, 0, 0, -77600760668, 0, 0, 0, -29630392512, 0, 0, 0, 6729760904, 0, 0, 0, 138199750976, 0, 0, 0, -156785018444, 0, 0, 0, 180797745644, 0, 0, 0, -58364763660, 0, 0, 0, -296093485520, 0, 0, 0, 2034961376, 0, 0, 0, -47214638272, 0, 0, 0, -40262528000, 0, 0, 0, 14357612632, 0, 0, 0, 32685542632, 0, 0, 0, -130792946212, 0, 0, 0, 270527313200, 0, 0, 0, 1573837664, 0, 0, 0, -41937018176, 0, 0, 0, 121935793124, 0, 0, 0, 25750525124, 0, 0, 0, -17872883008, 0, 0, 0, -28880826572, 0, 0, 0, -131273708596, 0, 0, 0, -30631996416, 0, 0, 0, -12887472104, 0, 0, 0, 45775846436, 0, 0, 0, 189815728224, 0, 0, 0, 79378267882, 0, 0, 0, -66302279928, 0, 0, 0, -303922873888, 0, 0, 0, -8805710032, 0, 0, 0, -145190210124, 0, 0, 0, -150452934980, 0, 0, 0, -250500415064, 0, 0, 0, 79732620576, 0, 0, 0, -61355034512, 0, 0, 0, -87865293236, 0, 0, 0], 'weight': 8, '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: 40516362
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199388958944, 'source_is_minimal': True, 'source_label': '224.8.a.c.1.2', 'source_level': 224, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007199388958944, 'target_is_minimal': True, 'target_label': '224.8.a.c.1.2', 'target_level': 224, 'twist_class_label': '224.8.a.c.1.2', 'twist_class_level': 224, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 40516363
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199388958944, 'source_is_minimal': True, 'source_label': '224.8.a.c.1.2', 'source_level': 224, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 4, 'target_hecke_orbit_code': 13510799016329440, 'target_is_minimal': True, 'target_label': '224.8.a.d.1.4', 'target_level': 224, 'twist_class_label': '224.8.a.c.1.2', 'twist_class_level': 224, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 40516364
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199388958944, 'source_is_minimal': True, 'source_label': '224.8.a.c.1.2', 'source_level': 224, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 2, 'target_hecke_orbit_code': 117093590445851072, 'target_is_minimal': False, 'target_label': '448.8.a.ba.1.2', 'target_level': 448, 'twist_class_label': '224.8.a.c.1.2', 'twist_class_level': 224, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 40516365
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199388958944, 'source_is_minimal': True, 'source_label': '224.8.a.c.1.2', 'source_level': 224, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 4, 'target_hecke_orbit_code': 121597190073221568, 'target_is_minimal': False, 'target_label': '448.8.a.bb.1.4', 'target_level': 448, 'twist_class_label': '224.8.a.c.1.2', 'twist_class_level': 224, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 536825
    {'charpoly_factorization': [[[0, 1], 5]], 'hecke_orbit_code': 9007199388958944, 'p': 2}
  • id: 536826
    {'charpoly_factorization': [[[10456992, 4678128, -256536, -6076, 54, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 3}
  • id: 536827
    {'charpoly_factorization': [[[477235046400, 15288489360, -1060752, -267124, -84, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 5}
  • id: 536828
    {'charpoly_factorization': [[[-343, 1], 5]], 'hecke_orbit_code': 9007199388958944, 'p': 7}
  • id: 536829
    {'charpoly_factorization': [[[262393439394788352, 148558165290752, -104677184192, -41769840, 5324, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 11}
  • id: 536830
    {'charpoly_factorization': [[[3397854488079213888, 994289575365328, -334143966560, -75729588, 9880, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 13}
  • id: 536831
    {'charpoly_factorization': [[[1380300135154995094304, -145446179616257904, -27436946732240, -284414440, 44322, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 17}
  • id: 536832
    {'charpoly_factorization': [[[145641990220669519584, -64540883895314064, -41883140540808, -2660349020, 22898, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 19}
  • id: 536833
    {'charpoly_factorization': [[[918171726331515830286336, -61894076965301491456, 1208694545830912, -2344046880, -141016, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 23}
  • id: 536834
    {'charpoly_factorization': [[[-6058164908585336540064, -25264738836000497264, 1675684104812432, -26575708200, 18998, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 29}
  • id: 536835
    {'charpoly_factorization': [[[1369973495427417092588544, 227061417598936318720, 4444315488823616, -42558334896, -167668, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 31}
  • id: 536836
    {'charpoly_factorization': [[[1096902361446476622705125088, 6775350158096291390864, -117452697442536112, -290954226984, 434206, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 37}
  • id: 536837
    {'charpoly_factorization': [[[2270762212340028398692919712, 31114413480554207188624, -72636401519671312, -525710269800, -44278, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 41}
  • id: 536838
    {'charpoly_factorization': [[[-2474074075866973296538637312, 38813835517412110204672, -104339306714662208, -407062515440, 465076, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 43}
  • id: 536839
    {'charpoly_factorization': [[[1212187169911889368572705792, 30507729619707122616064, 124061352692984000, -897251304432, 7508, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 47}
  • id: 536840
    {'charpoly_factorization': [[[11096053939883270984751364512, -172886849705483276442800, -327735639134638448, 760050790632, 1901986, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 53}
  • id: 536841
    {'charpoly_factorization': [[[3907156488228556067967503328, 12556295853814567930992, -668783167597973512, -979551748476, 2342994, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 59}
  • id: 536842
    {'charpoly_factorization': [[[923766024689550534640441275008, -2372059455160568564795248, -9548958956277039088, -6723725088116, 553300, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 61}
  • id: 536843
    {'charpoly_factorization': [[[-3541127545059930966297513875456, 18718347166942263075334400, -6849508485304518656, -7841266617632, 1908152, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 67}
  • id: 536844
    {'charpoly_factorization': [[[304747327928378257822762124967936, 139962340973127095481569280, -52225730518601708544, -25645283485248, 1721104, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 71}
  • id: 536845
    {'charpoly_factorization': [[[-161612368846416812059586427259296, 107958474841390450110897744, 28192323220510115568, -20840543683800, -1237634, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 73}
  • id: 536846
    {'charpoly_factorization': [[[34987211330653924131188705918976, -147119954133662112752414720, -64840451198990731264, 16966682996928, 9787808, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 79}
  • id: 536847
    {'charpoly_factorization': [[[-4470676125184639989085250929862304, -3005395316248550069941704720, -420701113720594497896, 63339546448164, 17717898, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 83}
  • id: 536848
    {'charpoly_factorization': [[[16216550912543015410098878022624, -120623453367519404412429744, 211202883219140145840, -29322000542808, -7408138, 1], 1]], 'hecke_orbit_code': 9007199388958944, 'p': 89}
  • id: 536849
    {'charpoly_factorization': [[[-7636291152415330395070795592877792, 9401380361412495732414079376, -2455111364116411067728, -178598007557160, 17027554, 1], 1]], 'hecke_orbit_code': 9007199388958944, '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': 3, 'label': '224.8.a.c', 'level': 224, 'portrait': 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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29098507
    {'hecke_orbit_code': 9007199388958944, 'n': 1, 'trace_an': 5}
  • id: 29098508
    {'hecke_orbit_code': 9007199388958944, 'n': 2, 'trace_an': 0}
  • id: 29098509
    {'hecke_orbit_code': 9007199388958944, 'n': 3, 'trace_an': -54}
  • id: 29098510
    {'hecke_orbit_code': 9007199388958944, 'n': 4, 'trace_an': 0}
  • id: 29098511
    {'hecke_orbit_code': 9007199388958944, 'n': 5, 'trace_an': 84}
  • id: 29098512
    {'hecke_orbit_code': 9007199388958944, 'n': 6, 'trace_an': 0}
  • id: 29098513
    {'hecke_orbit_code': 9007199388958944, 'n': 7, 'trace_an': 1715}
  • id: 29098514
    {'hecke_orbit_code': 9007199388958944, 'n': 8, 'trace_an': 0}
  • id: 29098515
    {'hecke_orbit_code': 9007199388958944, 'n': 9, 'trace_an': 4133}
  • id: 29098516
    {'hecke_orbit_code': 9007199388958944, 'n': 10, 'trace_an': 0}
  • id: 29098517
    {'hecke_orbit_code': 9007199388958944, 'n': 11, 'trace_an': -5324}
  • id: 29098518
    {'hecke_orbit_code': 9007199388958944, 'n': 12, 'trace_an': 0}
  • id: 29098519
    {'hecke_orbit_code': 9007199388958944, 'n': 13, 'trace_an': -9880}
  • id: 29098520
    {'hecke_orbit_code': 9007199388958944, 'n': 14, 'trace_an': 0}
  • id: 29098521
    {'hecke_orbit_code': 9007199388958944, 'n': 15, 'trace_an': -30128}
  • id: 29098522
    {'hecke_orbit_code': 9007199388958944, 'n': 16, 'trace_an': 0}
  • id: 29098523
    {'hecke_orbit_code': 9007199388958944, 'n': 17, 'trace_an': -44322}
  • id: 29098524
    {'hecke_orbit_code': 9007199388958944, 'n': 18, 'trace_an': 0}
  • id: 29098525
    {'hecke_orbit_code': 9007199388958944, 'n': 19, 'trace_an': -22898}
  • id: 29098526
    {'hecke_orbit_code': 9007199388958944, 'n': 20, 'trace_an': 0}
  • id: 29098527
    {'hecke_orbit_code': 9007199388958944, 'n': 21, 'trace_an': -18522}
  • id: 29098528
    {'hecke_orbit_code': 9007199388958944, 'n': 22, 'trace_an': 0}
  • id: 29098529
    {'hecke_orbit_code': 9007199388958944, 'n': 23, 'trace_an': 141016}
  • id: 29098530
    {'hecke_orbit_code': 9007199388958944, 'n': 24, 'trace_an': 0}
  • id: 29098531
    {'hecke_orbit_code': 9007199388958944, 'n': 25, 'trace_an': 150679}
  • id: 29098532
    {'hecke_orbit_code': 9007199388958944, 'n': 26, 'trace_an': 0}
  • id: 29098533
    {'hecke_orbit_code': 9007199388958944, 'n': 27, 'trace_an': -135972}
  • id: 29098534
    {'hecke_orbit_code': 9007199388958944, 'n': 28, 'trace_an': 0}
  • id: 29098535
    {'hecke_orbit_code': 9007199388958944, 'n': 29, 'trace_an': -18998}
  • id: 29098536
    {'hecke_orbit_code': 9007199388958944, 'n': 30, 'trace_an': 0}
  • id: 29098537
    {'hecke_orbit_code': 9007199388958944, 'n': 31, 'trace_an': 167668}
  • id: 29098538
    {'hecke_orbit_code': 9007199388958944, 'n': 32, 'trace_an': 0}
  • id: 29098539
    {'hecke_orbit_code': 9007199388958944, 'n': 33, 'trace_an': 830696}
  • id: 29098540
    {'hecke_orbit_code': 9007199388958944, 'n': 34, 'trace_an': 0}
  • id: 29098541
    {'hecke_orbit_code': 9007199388958944, 'n': 35, 'trace_an': 28812}
  • id: 29098542
    {'hecke_orbit_code': 9007199388958944, 'n': 36, 'trace_an': 0}
  • id: 29098543
    {'hecke_orbit_code': 9007199388958944, 'n': 37, 'trace_an': -434206}
  • id: 29098544
    {'hecke_orbit_code': 9007199388958944, 'n': 38, 'trace_an': 0}
  • id: 29098545
    {'hecke_orbit_code': 9007199388958944, 'n': 39, 'trace_an': -1100728}
  • id: 29098546
    {'hecke_orbit_code': 9007199388958944, 'n': 40, 'trace_an': 0}
  • id: 29098547
    {'hecke_orbit_code': 9007199388958944, 'n': 41, 'trace_an': 44278}
  • id: 29098548
    {'hecke_orbit_code': 9007199388958944, 'n': 42, 'trace_an': 0}
  • id: 29098549
    {'hecke_orbit_code': 9007199388958944, 'n': 43, 'trace_an': -465076}
  • id: 29098550
    {'hecke_orbit_code': 9007199388958944, 'n': 44, 'trace_an': 0}
  • id: 29098551
    {'hecke_orbit_code': 9007199388958944, 'n': 45, 'trace_an': 1823220}
  • id: 29098552
    {'hecke_orbit_code': 9007199388958944, 'n': 46, 'trace_an': 0}
  • id: 29098553
    {'hecke_orbit_code': 9007199388958944, 'n': 47, 'trace_an': -7508}
  • id: 29098554
    {'hecke_orbit_code': 9007199388958944, 'n': 48, 'trace_an': 0}
  • id: 29098555
    {'hecke_orbit_code': 9007199388958944, 'n': 49, 'trace_an': 588245}
  • id: 29098556
    {'hecke_orbit_code': 9007199388958944, 'n': 50, 'trace_an': 0}
  • id: 29098557
    {'hecke_orbit_code': 9007199388958944, 'n': 51, 'trace_an': -65012}
  • id: 29098558
    {'hecke_orbit_code': 9007199388958944, 'n': 52, 'trace_an': 0}
  • id: 29098559
    {'hecke_orbit_code': 9007199388958944, 'n': 53, 'trace_an': -1901986}
  • id: 29098560
    {'hecke_orbit_code': 9007199388958944, 'n': 54, 'trace_an': 0}
  • id: 29098561
    {'hecke_orbit_code': 9007199388958944, 'n': 55, 'trace_an': -4619216}
  • id: 29098562
    {'hecke_orbit_code': 9007199388958944, 'n': 56, 'trace_an': 0}
  • id: 29098563
    {'hecke_orbit_code': 9007199388958944, 'n': 57, 'trace_an': -3116556}
  • id: 29098564
    {'hecke_orbit_code': 9007199388958944, 'n': 58, 'trace_an': 0}
  • id: 29098565
    {'hecke_orbit_code': 9007199388958944, 'n': 59, 'trace_an': -2342994}
  • id: 29098566
    {'hecke_orbit_code': 9007199388958944, 'n': 60, 'trace_an': 0}
  • id: 29098567
    {'hecke_orbit_code': 9007199388958944, 'n': 61, 'trace_an': -553300}
  • id: 29098568
    {'hecke_orbit_code': 9007199388958944, 'n': 62, 'trace_an': 0}
  • id: 29098569
    {'hecke_orbit_code': 9007199388958944, 'n': 63, 'trace_an': 1417619}
  • id: 29098570
    {'hecke_orbit_code': 9007199388958944, 'n': 64, 'trace_an': 0}
  • id: 29098571
    {'hecke_orbit_code': 9007199388958944, 'n': 65, 'trace_an': 1749208}
  • id: 29098572
    {'hecke_orbit_code': 9007199388958944, 'n': 66, 'trace_an': 0}
  • id: 29098573
    {'hecke_orbit_code': 9007199388958944, 'n': 67, 'trace_an': -1908152}
  • id: 29098574
    {'hecke_orbit_code': 9007199388958944, 'n': 68, 'trace_an': 0}
  • id: 29098575
    {'hecke_orbit_code': 9007199388958944, 'n': 69, 'trace_an': -554944}
  • id: 29098576
    {'hecke_orbit_code': 9007199388958944, 'n': 70, 'trace_an': 0}
  • id: 29098577
    {'hecke_orbit_code': 9007199388958944, 'n': 71, 'trace_an': -1721104}
  • id: 29098578
    {'hecke_orbit_code': 9007199388958944, 'n': 72, 'trace_an': 0}
  • id: 29098579
    {'hecke_orbit_code': 9007199388958944, 'n': 73, 'trace_an': 1237634}
  • id: 29098580
    {'hecke_orbit_code': 9007199388958944, 'n': 74, 'trace_an': 0}
  • id: 29098581
    {'hecke_orbit_code': 9007199388958944, 'n': 75, 'trace_an': -19901682}
  • id: 29098582
    {'hecke_orbit_code': 9007199388958944, 'n': 76, 'trace_an': 0}
  • id: 29098583
    {'hecke_orbit_code': 9007199388958944, 'n': 77, 'trace_an': -1826132}
  • id: 29098584
    {'hecke_orbit_code': 9007199388958944, 'n': 78, 'trace_an': 0}
  • id: 29098585
    {'hecke_orbit_code': 9007199388958944, 'n': 79, 'trace_an': -9787808}
  • id: 29098586
    {'hecke_orbit_code': 9007199388958944, 'n': 80, 'trace_an': 0}
  • id: 29098587
    {'hecke_orbit_code': 9007199388958944, 'n': 81, 'trace_an': 4138481}
  • id: 29098588
    {'hecke_orbit_code': 9007199388958944, 'n': 82, 'trace_an': 0}
  • id: 29098589
    {'hecke_orbit_code': 9007199388958944, 'n': 83, 'trace_an': -17717898}
  • id: 29098590
    {'hecke_orbit_code': 9007199388958944, 'n': 84, 'trace_an': 0}
  • id: 29098591
    {'hecke_orbit_code': 9007199388958944, 'n': 85, 'trace_an': -13248184}
  • id: 29098592
    {'hecke_orbit_code': 9007199388958944, 'n': 86, 'trace_an': 0}
  • id: 29098593
    {'hecke_orbit_code': 9007199388958944, 'n': 87, 'trace_an': -25003324}
  • id: 29098594
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