Newform data - 24.17.h.a

Formats: - HTML - YAML - JSON - 2026-02-08T11:28:07.008764

• 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': 6936, 'analytic_conductor': 38.95789052559052, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 24, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': -1, 'char_values': [24, 2, [7, 13, 17], [2, 1, 1]], 'cm_discs': [-24], 'conrey_index': 5, '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, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [-31294, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 481321549848, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 24, 8, -1, 2, -24]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '24.17.h.a', 'level': 24, '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], 'level_radical': 6, 'minimal_twist': '24.17.h.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 8, 'qexp_display': 'q-2^{8}q^{2}-3^{8}q^{3}+2^{16}q^{4}+31294q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '16.2.1.d2', 'self_twist_discs': [-24], 'self_twist_type': 1, 'space_label': '24.17.h', 'trace_display': [-256, -6561, 31294, 11491202], 'trace_hash': 2138421498753620715, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.974', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.902', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.628', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.500', 'prec': 17}, 'traces': [1, -256, -6561, 65536, 31294, 1679616, 11491202, -16777216, 43046721, -8011264, 345579838, -429981696, 0, -2941747712, -205319934, 4294967296, 0, -11019960576, 0, 2050883584, -75393776322, -88468438528, 0, 110075314176, -151608576189, 0, -282429536481, 753087414272, 444815014078, 52561903104, 913947924482, -1099511627776, -2267349317118, 0, 359605675388, 2821109907456, 0, 0, 0, -525026197504, 0, 19300806738432, 0, 22647920263168, 1347104086974, 0, 0, -28179280429056, 98814792835203, 38811795504384, 0, 0, 95084003330878, 72301961339136, 10814575450372, -192790378053632, 0, -113872643603968, -228567745583042, -13455847194624, 0, -233970668667392, 494658566448642, 281474976710656, 0, 580441425182208, 0, 0, 0, -92059052899328, 0, -722204136308736, -1517731242771838, 0, 994703868376029, 0, 3971127725585276, 0, -3006783469044478, 134406706561024, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1], [-256], [-6561], [65536], [31294], [1679616], [11491202], [-16777216], [43046721], [-8011264], [345579838], [-429981696], [0], [-2941747712], [-205319934], [4294967296], [0], [-11019960576], [0], [2050883584], [-75393776322], [-88468438528], [0], [110075314176], [-151608576189], [0], [-282429536481], [753087414272], [444815014078], [52561903104], [913947924482], [-1099511627776], [-2267349317118], [0], [359605675388], [2821109907456], [0], [0], [0], [-525026197504], [0], [19300806738432], [0], [22647920263168], [1347104086974], [0], [0], [-28179280429056], [98814792835203], [38811795504384], [0], [0], [95084003330878], [72301961339136], [10814575450372], [-192790378053632], [0], [-113872643603968], [-228567745583042], [-13455847194624], [0], [-233970668667392], [494658566448642], [281474976710656], [0], [580441425182208], [0], [0], [0], [-92059052899328], [0], [-722204136308736], [-1517731242771838], [0], [994703868376029], [0], [3971127725585276], [0], [-3006783469044478], [134406706561024], [1853020188851841], [0], [-1495615549999682], [-4941006525038592], [0], [0], [-2918431307365758], [-5797867587371008], [0], [-344858646265344], [0], [0], [-5996412332526402], [0], [0], [7213895789838336], [-886127550036478], [-25296586965811968], [14876078869611198], [-9935819649122304]], 'ap': [[-256], [-6561], [31294], [11491202], [345579838], [0], [0], [0], [0], [444815014078], [913947924482], [0], [0], [0], [0], [95084003330878], [-228567745583042], [0], [0], [0], [-1517731242771838], [-3006783469044478], [-1495615549999682], [0], [-886127550036478], [20189753678375998], [23447343357505922], [33886423536187198], [0], [0], [-126477371442531838], [131435471717987518], [0], [0], [137578404763847998], [142774261902864002], [0], [0], [0], [-775045982064720962], [-1610089569848493122], [0], [0], [3347049734492697602], [2538311515339951678], [-2156265056570524798], [0], [-4512247068063728638], [-11230379319007728962], [0], [0], [0], [11591965142804279042], [30368625770572430398], [0], [0], [-23629615104618031682], [38059689457601368322], [0], [0], [0], [-93707384162412273602], [0], [0], [-40784408736803026558], [55106054676705136318], [0], [-218229371907064892158], [-141819922126064080322], [0], [0], [0], [-304303448996508222718], [0], [0], [0], [411151773349101810238], [0], [0], [-1026984737298239506558], [1081984989702100182718], [0], [0], [1732854327329438503682], [-2331360897984044807038], [-2113692615378318321602], [0], [890237252020556073602], [-757894135838468650562], [-2440843965498116156158], [-4303001885440842338882], [0], [4735287236308493715842], [4453582385029255728958], [0], [0], [-4841322884860525419842], [0], [0], [0], [0], [-2881970410079512257602], [14183712915202946919358], [0], [0], [-10939125045591729239038], [-25571035788943633064642], [0], [0], [27042441768285854256002], [15992660451017025868802], [0], [0], [0], [407681497164688740482], [0], [0], [0], [-48325749100185577427522], [1163262488984685351358], [0], [35678574651801384552962], [-56904378456914458445762], [15484403918492269888318], [0], [-111903977848585900411202], [0], [0], [129372216488960504146562], [0], [0], [0], [-198096648035216025734398], [0], [0], [11544981821546627143682], [-228633648053665541952962], [0], [-88805456708951932249922], [0], [0], [402806933143802287106878], [-285628671987026004589438], [425607871539617925503038], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [-998466405422453791912318], [0], [570483868716211763648642], [331910693532971559629758], [-1268845983620754762208322], [0], [465255181221840951262082], [-995000645824666287395522], [0], [0], [1849114804321419491159042], [0]], 'char_orbit_index': 8, 'field_poly': [0, 1], 'hecke_orbit_code': 481321549848, 'hecke_ring_character_values': [[7, [1]], [13, [-1]], [17, [-1]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '24.17.h.a', 'level': 24, 'maxp': 997, 'weight': 17}
• 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

  
  {'Nk2': 6936, 'analytic_conductor': 38.95789052559052, 'char_conductor': 24, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': -1, 'char_values': [24, 2, [7, 13, 17], [2, 1, 1]], 'conrey_index': 5, 'cusp_dim': 62, 'dim': 62, 'eis_dim': 4, 'eis_new_dim': 4, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 481321549848, 'hecke_orbit_dims': [1, 1, 60], 'label': '24.17.h', 'level': 24, '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], 'level_radical': 6, 'mf_dim': 66, 'mf_new_dim': 66, 'num_forms': 3, 'prim_orbit_index': 8, 'relative_dim': 62, 'sturm_bound': 68, 'trace_bound': 2, 'trace_display': [0, 0, 0, -4], 'traces': [62, 0, 0, -53076, 0, -374384, -4, 0, -2, 165287032, 0, -593333300, 0, 0, -86093444, 1862964712, 0, -10110514408, 0, 0, 0, -171634895376, 0, 345037841192, 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1336180593998345596012480, 3060206849180757493020784, 0, -2591190475764012994684992, 0, 0, -1094388299458596728173568, -2887499834543167978839024, 0, -3401735493262450445752608, 0, 0, 0, -3335265496790224025601792, 0, 3269875176760987451636848, 1694966003830340170781304, 0, 0, 3953772986722936262486112, 0, 3944105465521515163176624, 2265362002217041941203712, 0, -37414518360099975618692, 2953642093573356365549888, 0, -2976314825964121422032904, 0, 0, 1063146444907409452359036, -4528940061366255991384320, 0, -3587743623847309936031256, 0, 0, 0, -3926262324362579360600400, 0, 3942987343760648625473888, 167169045284645207636600, 0, 0, 3341632316068304083095744, 0, 4198487241175988370827088, -892649942686740715454728, 0, -1935137655356670155313152, 3824571893468885728531728, 0, -5415329017955423354182740, 0, 0, -764682946730966556852992, -5627849417731093129851072, 0, -4888781809623563844299304, 0, 0, 0, -7203402864962504488604800, 0, 5394380930049115338646768, -1678751491234972326107784, 0, 0, 4523229976453062502345808, 0, 7054954434449809591487504, -1374908308240363773655044, 0, -66938540435094766621632, 7686391968655700237885880, 0, -8195958407733321380925408, 0, 0, 365695491639966935008764, -8019228527639979889897152, 0, -9482100412871535569515904, 0, 0, 0, -7881392135844343439032592, 0, 8767945111383799819338688, 1758565833399592355161084, 0, 0, 12806567969260213981269504, 0, 8939197402234055541294224, -777599832619777379090432, 0, 1323054358801686312668792, 9580892893143352462574736, 0, -11275486396025495683063376, 0, 0, 210791513251727174183548, -9875163725318921815009664, 0, -10871461794891743288327784, 0, 0, 0, -15330424322502745146651136, 0, 13410337445798823645484416, 1922551196612079704827962, 0, 0, 10746613407873770901736248, 0, 12112868799767887188775552, 269576063435366063570428, 0, -14490415072019963117056, 12058317470111145378069808, 0, -12086495776258210621148756, 0, 0, -2101685808231855508484480, -14995846154688191277558048, 0, -13980702770916828609645592, 0, 0, 0, -10673337648859919603074912, 0, 13102317532904286828866368, -995069477709458065785736, 0, 0, 14490706675134461424857184, 0, 18316017352946619888894720, 4962847732318889042717692, 0, 1050550034392716592053184, 19298669029067963382567936, 0, -14009490074828042145982848, 0, 0, 2215499502918269734481792, -16829639199472404610513920], 'weight': 17, 'weight_parity': -1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 19062
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 8, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '24.17.h.a', 'source_level': 24, 'target_char_orbit': 8, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '24.17.h.a', 'target_level': 24, 'twist_class_label': '24.17.h.a', 'twist_class_level': 24, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 17}
  • id: 19063
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -24, 'source_char_orbit': 8, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '24.17.h.a', 'source_level': 24, 'target_char_orbit': 8, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '24.17.h.a', 'target_level': 24, 'twist_class_label': '24.17.h.a', 'twist_class_level': 24, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 17}
  • id: 19064
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '24.17.h.a', 'source_level': 24, 'target_char_orbit': 8, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '24.17.h.b', 'target_level': 24, 'twist_class_label': '24.17.h.a', 'twist_class_level': 24, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 17}
  • id: 19065
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '24.17.h.a', 'source_level': 24, 'target_char_orbit': 8, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '24.17.h.b', 'target_level': 24, 'twist_class_label': '24.17.h.a', 'twist_class_level': 24, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 17}
  • id: 19066
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '24.17.h.a', 'source_level': 24, 'target_char_orbit': 8, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '96.17.h.a', 'target_level': 96, 'twist_class_label': '24.17.h.a', 'twist_class_level': 24, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 17}
  • id: 19067
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '24.17.h.a', 'source_level': 24, 'target_char_orbit': 8, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '96.17.h.a', 'target_level': 96, 'twist_class_label': '24.17.h.a', 'twist_class_level': 24, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 17}
  • id: 19068
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '24.17.h.a', 'source_level': 24, 'target_char_orbit': 8, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '96.17.h.b', 'target_level': 96, 'twist_class_label': '24.17.h.a', 'twist_class_level': 24, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 17}
  • id: 19069
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '24.17.h.a', 'source_level': 24, 'target_char_orbit': 8, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '96.17.h.b', 'target_level': 96, 'twist_class_label': '24.17.h.a', 'twist_class_level': 24, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 17}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 91875
    {'charpoly_factorization': [[[256, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 2}
  • id: 91876
    {'charpoly_factorization': [[[6561, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 3}
  • id: 91877
    {'charpoly_factorization': [[[-31294, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 5}
  • id: 91878
    {'charpoly_factorization': [[[-11491202, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 7}
  • id: 91879
    {'charpoly_factorization': [[[-345579838, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 11}
  • id: 91880
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 13}
  • id: 91881
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 17}
  • id: 91882
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 19}
  • id: 91883
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 23}
  • id: 91884
    {'charpoly_factorization': [[[-444815014078, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 29}
  • id: 91885
    {'charpoly_factorization': [[[-913947924482, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 31}
  • id: 91886
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 37}
  • id: 91887
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 41}
  • id: 91888
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 43}
  • id: 91889
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 47}
  • id: 91890
    {'charpoly_factorization': [[[-95084003330878, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 53}
  • id: 91891
    {'charpoly_factorization': [[[228567745583042, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 59}
  • id: 91892
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 61}
  • id: 91893
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 67}
  • id: 91894
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 71}
  • id: 91895
    {'charpoly_factorization': [[[1517731242771838, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 73}
  • id: 91896
    {'charpoly_factorization': [[[3006783469044478, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 79}
  • id: 91897
    {'charpoly_factorization': [[[1495615549999682, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 83}
  • id: 91898
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 481321549848, 'p': 89}
  • id: 91899
    {'charpoly_factorization': [[[886127550036478, 1], 1]], 'hecke_orbit_code': 481321549848, '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': 8, 'hecke_orbit': 1, 'label': '24.17.h.a', 'level': 24, 'portrait': 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', 'weight': 17}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 9701124
    {'hecke_orbit_code': 481321549848, 'n': 1, 'trace_an': 1}
  • id: 9701125
    {'hecke_orbit_code': 481321549848, 'n': 2, 'trace_an': -256}
  • id: 9701126
    {'hecke_orbit_code': 481321549848, 'n': 3, 'trace_an': -6561}
  • id: 9701127
    {'hecke_orbit_code': 481321549848, 'n': 4, 'trace_an': 65536}
  • id: 9701128
    {'hecke_orbit_code': 481321549848, 'n': 5, 'trace_an': 31294}
  • id: 9701129
    {'hecke_orbit_code': 481321549848, 'n': 6, 'trace_an': 1679616}
  • id: 9701130
    {'hecke_orbit_code': 481321549848, 'n': 7, 'trace_an': 11491202}
  • id: 9701131
    {'hecke_orbit_code': 481321549848, 'n': 8, 'trace_an': -16777216}
  • id: 9701132
    {'hecke_orbit_code': 481321549848, 'n': 9, 'trace_an': 43046721}
  • id: 9701133
    {'hecke_orbit_code': 481321549848, 'n': 10, 'trace_an': -8011264}
  • id: 9701134
    {'hecke_orbit_code': 481321549848, 'n': 11, 'trace_an': 345579838}
  • id: 9701135
    {'hecke_orbit_code': 481321549848, 'n': 12, 'trace_an': -429981696}
  • id: 9701136
    {'hecke_orbit_code': 481321549848, 'n': 13, 'trace_an': 0}
  • id: 9701137
    {'hecke_orbit_code': 481321549848, 'n': 14, 'trace_an': -2941747712}
  • id: 9701138
    {'hecke_orbit_code': 481321549848, 'n': 15, 'trace_an': -205319934}
  • id: 9701139
    {'hecke_orbit_code': 481321549848, 'n': 16, 'trace_an': 4294967296}
  • id: 9701140
    {'hecke_orbit_code': 481321549848, 'n': 17, 'trace_an': 0}
  • id: 9701141
    {'hecke_orbit_code': 481321549848, 'n': 18, 'trace_an': -11019960576}
  • id: 9701142
    {'hecke_orbit_code': 481321549848, 'n': 19, 'trace_an': 0}
  • id: 9701143
    {'hecke_orbit_code': 481321549848, 'n': 20, 'trace_an': 2050883584}
  • id: 9701144
    {'hecke_orbit_code': 481321549848, 'n': 21, 'trace_an': -75393776322}
  • id: 9701145
    {'hecke_orbit_code': 481321549848, 'n': 22, 'trace_an': -88468438528}
  • id: 9701146
    {'hecke_orbit_code': 481321549848, 'n': 23, 'trace_an': 0}
  • id: 9701147
    {'hecke_orbit_code': 481321549848, 'n': 24, 'trace_an': 110075314176}
  • id: 9701148
    {'hecke_orbit_code': 481321549848, 'n': 25, 'trace_an': -151608576189}
  • id: 9701149
    {'hecke_orbit_code': 481321549848, 'n': 26, 'trace_an': 0}
  • id: 9701150
    {'hecke_orbit_code': 481321549848, 'n': 27, 'trace_an': -282429536481}
  • id: 9701151
    {'hecke_orbit_code': 481321549848, 'n': 28, 'trace_an': 753087414272}
  • id: 9701152
    {'hecke_orbit_code': 481321549848, 'n': 29, 'trace_an': 444815014078}
  • id: 9701153
    {'hecke_orbit_code': 481321549848, 'n': 30, 'trace_an': 52561903104}
  • id: 9701154
    {'hecke_orbit_code': 481321549848, 'n': 31, 'trace_an': 913947924482}
  • id: 9701155
    {'hecke_orbit_code': 481321549848, 'n': 32, 'trace_an': -1099511627776}
  • id: 9701156
    {'hecke_orbit_code': 481321549848, 'n': 33, 'trace_an': -2267349317118}
  • id: 9701157
    {'hecke_orbit_code': 481321549848, 'n': 34, 'trace_an': 0}
  • id: 9701158
    {'hecke_orbit_code': 481321549848, 'n': 35, 'trace_an': 359605675388}
  • id: 9701159
    {'hecke_orbit_code': 481321549848, 'n': 36, 'trace_an': 2821109907456}
  • id: 9701160
    {'hecke_orbit_code': 481321549848, 'n': 37, 'trace_an': 0}
  • id: 9701161
    {'hecke_orbit_code': 481321549848, 'n': 38, 'trace_an': 0}
  • id: 9701162
    {'hecke_orbit_code': 481321549848, 'n': 39, 'trace_an': 0}
  • id: 9701163
    {'hecke_orbit_code': 481321549848, 'n': 40, 'trace_an': -525026197504}
  • id: 9701164
    {'hecke_orbit_code': 481321549848, 'n': 41, 'trace_an': 0}
  • id: 9701165
    {'hecke_orbit_code': 481321549848, 'n': 42, 'trace_an': 19300806738432}
  • id: 9701166
    {'hecke_orbit_code': 481321549848, 'n': 43, 'trace_an': 0}
  • id: 9701167
    {'hecke_orbit_code': 481321549848, 'n': 44, 'trace_an': 22647920263168}
  • id: 9701168
    {'hecke_orbit_code': 481321549848, 'n': 45, 'trace_an': 1347104086974}
  • id: 9701169
    {'hecke_orbit_code': 481321549848, 'n': 46, 'trace_an': 0}
  • id: 9701170
    {'hecke_orbit_code': 481321549848, 'n': 47, 'trace_an': 0}
  • id: 9701171
    {'hecke_orbit_code': 481321549848, 'n': 48, 'trace_an': -28179280429056}
  • id: 9701172
    {'hecke_orbit_code': 481321549848, 'n': 49, 'trace_an': 98814792835203}
  • id: 9701173
    {'hecke_orbit_code': 481321549848, 'n': 50, 'trace_an': 38811795504384}
  • id: 9701174
    {'hecke_orbit_code': 481321549848, 'n': 51, 'trace_an': 0}
  • id: 9701175
    {'hecke_orbit_code': 481321549848, 'n': 52, 'trace_an': 0}
  • id: 9701176
    {'hecke_orbit_code': 481321549848, 'n': 53, 'trace_an': 95084003330878}
  • id: 9701177
    {'hecke_orbit_code': 481321549848, 'n': 54, 'trace_an': 72301961339136}
  • id: 9701178
    {'hecke_orbit_code': 481321549848, 'n': 55, 'trace_an': 10814575450372}
  • id: 9701179
    {'hecke_orbit_code': 481321549848, 'n': 56, 'trace_an': -192790378053632}
  • id: 9701180
    {'hecke_orbit_code': 481321549848, 'n': 57, 'trace_an': 0}
  • id: 9701181
    {'hecke_orbit_code': 481321549848, 'n': 58, 'trace_an': -113872643603968}
  • id: 9701182
    {'hecke_orbit_code': 481321549848, 'n': 59, 'trace_an': -228567745583042}
  • id: 9701183
    {'hecke_orbit_code': 481321549848, 'n': 60, 'trace_an': -13455847194624}
  • id: 9701184
    {'hecke_orbit_code': 481321549848, 'n': 61, 'trace_an': 0}
  • id: 9701185
    {'hecke_orbit_code': 481321549848, 'n': 62, 'trace_an': -233970668667392}
  • id: 9701186
    {'hecke_orbit_code': 481321549848, 'n': 63, 'trace_an': 494658566448642}
  • id: 9701187
    {'hecke_orbit_code': 481321549848, 'n': 64, 'trace_an': 281474976710656}
  • id: 9701188
    {'hecke_orbit_code': 481321549848, 'n': 65, 'trace_an': 0}
  • id: 9701189
    {'hecke_orbit_code': 481321549848, 'n': 66, 'trace_an': 580441425182208}
  • id: 9701190
    {'hecke_orbit_code': 481321549848, 'n': 67, 'trace_an': 0}
  • id: 9701191
    {'hecke_orbit_code': 481321549848, 'n': 68, 'trace_an': 0}
  • id: 9701192
    {'hecke_orbit_code': 481321549848, 'n': 69, 'trace_an': 0}
  • id: 9701193
    {'hecke_orbit_code': 481321549848, 'n': 70, 'trace_an': -92059052899328}
  • id: 9701194
    {'hecke_orbit_code': 481321549848, 'n': 71, 'trace_an': 0}
  • id: 9701195
    {'hecke_orbit_code': 481321549848, 'n': 72, 'trace_an': -722204136308736}
  • id: 9701196
    {'hecke_orbit_code': 481321549848, 'n': 73, 'trace_an': -1517731242771838}
  • id: 9701197
    {'hecke_orbit_code': 481321549848, 'n': 74, 'trace_an': 0}
  • id: 9701198
    {'hecke_orbit_code': 481321549848, 'n': 75, 'trace_an': 994703868376029}
  • id: 9701199
    {'hecke_orbit_code': 481321549848, 'n': 76, 'trace_an': 0}
  • id: 9701200
    {'hecke_orbit_code': 481321549848, 'n': 77, 'trace_an': 3971127725585276}
  • id: 9701201
    {'hecke_orbit_code': 481321549848, 'n': 78, 'trace_an': 0}
  • id: 9701202
    {'hecke_orbit_code': 481321549848, 'n': 79, 'trace_an': -3006783469044478}
  • id: 9701203
    {'hecke_orbit_code': 481321549848, 'n': 80, 'trace_an': 134406706561024}
  • id: 9701204
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