Embedded newform data - 175.10.a.c.1.1

Formats: - HTML - YAML - JSON - 2026-05-10T00:05:50.293983

• 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': 17500, 'analytic_conductor': 90.1312713286778, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[5, 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': [175, 1, [127, 101], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 8, 'field_disc_factorization': [[2, 3]], 'field_poly': [-2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 8, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [136, -24, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199422513327, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], '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': '175.10.a.c', 'level': 175, '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': [5, 7], 'level_radical': 35, 'minimal_twist': '35.10.a.b', 'nf_label': '2.2.8.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(12+\\beta )q^{2}+(87+54\\beta )q^{3}+(-360+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '175.10.a', 'trace_display': [24, 174, 0, -4802], 'trace_hash': 330803315970396508, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.911', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.104', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.197', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.855', 'prec': 17}, {'__RealLiteral__': 0, 'data': '61.303', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, 24, 174, -720, 0, 2952, -4802, -20544, 22428, 0, 18566, -41904, 51090, -57624, 0, 112768, 373910, 419472, -143276, 0, -417774, 76808, 498908, -2291904, 0, 319736, 6644538, 1728720, -11577554, 0, -3953760, 11398656, -6267894, 4243944, 0, -4466016, 3205412, -2217520, -11395746, 0, 1058992, -7087752, -15948180, -10187376, 0, -7156176, -65501290, -15735936, 11529602, 0, 19409466, -25432656, 25114688, 85496472, 0, 49326144, -39368244, -134182296, -116159208, 0, -44688544, -12388000, -53849628, 79055872, 0, -79894824, -118092496, -140439024, -666320892, 0, -294165824, -318176640, 57419332, 102418064, 0, 39622368, -44576966, -140199000, -692852854, 0, 447773346, -152932128, 540679928, 100611504, 0, -346989008, -750836190, -105455296, -779043704, 0, -122667090, -495040608, 1549107360, -937691032, 0, 992180736, 2673039406, 138355224, 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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

  
  {'an_normalized': [[1.0, 0.0], [0.40533008588991065, 0.0], [-0.46854515210737, 0.0], [-0.8357075214724776, 0.0], [0.0, 0.0], [-0.18991544674698152, 0.0], [-0.37796447300922725, 0.0], [-0.7440674873471944, 0.0], [-0.7804654404366815, 0.0], [0.0, 0.0], [0.7226216211891086, 0.0], [0.3915667077655952, 0.0], [0.7516291846497183, 0.0], [-0.15320037230816488, 0.0], [0.0, 0.0], [0.5341145829181494, 0.0], [0.6676256011609558, 0.0], [-0.3163461240063071, 0.0], [0.02892947492468161, 0.0], [0.0, 0.0], [0.17709342149729032, 0.0], [0.29290028378248784, 0.0], [1.917070107794632, 0.0], [0.3486292140372398, 0.0], [0.0, 0.0], [0.3046579219714338, 0.0], [0.8342284506113204, 0.0], [0.31586775294319247, 0.0], [-1.74021526580966, 0.0], [0.0, 0.0], [-1.5897015904737632, 0.0], [0.9605601971164617, 0.0], [-0.33858085741612515, 0.0], [0.27060874226087345, 0.0], [0.0, 0.0], [0.6522408388222648, 0.0], [-0.8511096721289212, 0.0], [0.011725986555971213, 0.0], [-0.35217221065004073, 0.0], [0.0, 0.0], [1.6475787444290488, 0.0], [0.07178129174603483, 0.0], [0.8713434901274343, 0.0], [-0.6039003240063735, 0.0], [0.0, 0.0], [0.7770461914493784, 0.0], [-0.1774988739437685, 0.0], [-0.2502567984961488, 0.0], [0.14285714285714285, 0.0], [0.0, 0.0], [-0.3128127388467344, 0.0], [-0.6281421629699953, 0.0], [0.4774476147200029, 0.0], [0.3381378895380936, 0.0], [0.0, 0.0], [0.28123107573848216, 0.0], [-0.01355476522897129, 0.0], [-0.7053616031575631, 0.0], [0.5639689511662422, 0.0], [0.0, 0.0], [0.20647599577999656, 0.0], [-0.644353882206058, 0.0], [0.29498820889656474, 0.0], [-0.1447706357185045, 0.0], [0.0, 0.0], [-0.1372370080171576, 0.0], [-1.6632976895836502, 0.0], [-0.5579397364177953, 0.0], [-0.898233905257128, 0.0], [0.0, 0.0], [-1.6984311622952046, 0.0], [0.580718959227043, 0.0], [-0.0862386605826452, 0.0], [-0.3449803565057493, 0.0], [0.0, 0.0], [-0.02417657978680586, 0.0], [-0.27312530023781484, 0.0], [-0.14274599239082073, 0.0], [-0.7680506213291008, 0.0], [0.0, 0.0], [0.38959174415270476, 0.0], [0.6678132339898175, 0.0], [0.021827910073532783, 0.0], [-0.14799830434858127, 0.0], [0.0, 0.0], [0.35318173169296746, 0.0], [0.8153694264183544, 0.0], [-0.5376792539809361, 0.0], [-1.1232734557273256, 0.0], [0.0, 0.0], [-0.2840891286744859, 0.0], [-1.6021099082740273, 0.0], [0.7448469735138574, 0.0], [-0.0719456338209901, 0.0], [0.0, 0.0], [-0.45006582366621783, 0.0], [1.3846725116066037, 0.0], [0.05790429798427295, 0.0], [-0.5639812018504264, 0.0], [0.0, 0.0]], 'angles': [-0.21751986965982034, -0.28763540975577606, None, None, -0.19116466880802596, -0.18868147621697612, -0.19583233019930915, -0.24769778524604247, -0.04599259230258461, -0.41797541540348565, -0.3962254587585031, -0.3199605216069208, -0.09592793474332495, -0.17825542843624584, -0.26414352001184205, -0.2116354703236368, -0.20450366616329413, -0.23353983456678493, -0.40630135737149864, -0.41146237194207, -0.256864782935473, -0.3127312324428378, -0.24826295562154801, -0.3449140669973747, -0.12829075148146238, -0.15441135440687262, -0.4166173508768161, -0.25985610067277404, -0.306551192167885, -0.30996278340085615, -0.16755208363241314, -0.2007808750066519, -0.3145856100709754, -0.44424913142206934, -0.2358118325181987, -0.22532426145812925, -0.2009748491955354, -0.3064995238354014, -0.19996134174750757, -0.31216952339233467, -0.13914282940967043, -0.24105357520794676, -0.17519575834896584, -0.35766013652240997, -0.23530398592794385, -0.31964264746786714, -0.25609553901170373, -0.19151943372109684, -0.46258026333588687, -0.15108156467528003, -0.20731586229706722, -0.1434824233087839, -0.3875390143680534, -0.32127030995699174, -0.1874983985216992, -0.18887595354956238, -0.2061382339259616, -0.22587510036072306, -0.34736605107635826, -0.28537275101406445, -0.30997032493265564, -0.155422235570657, -0.22129683760091476, -0.22449483211300947, -0.11745113250557733, -0.19725478944636604, -0.3476214066519164, -0.2706069637926567, -0.19945666765230116, -0.35191536850924743, -0.36236676365516207, -0.2909408044226546, -0.3824126122028716, -0.23569977092054062, -0.1634926472069608, -0.18138044599059974, -0.29648185334006993, -0.38302258624201146, -0.10747421620553076, -0.398922642364484, -0.18596282976906886, -0.25142158643160833, -0.3642645782725414, -0.37256268922063734, -0.3346540396077985, -0.3644195213834811, -0.25030649315597775, -0.18847015703243386, -0.45484108540565726, -0.24138871892654645, -0.2822732086700935, -0.2559007128850811, -0.28193359368305404, -0.17897746378393972, -0.20226671889990935, -0.2674051216187774, -0.3049776200185767, -0.4485767070851492, -0.29446672953687514, -0.28538227707342284], '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': -1.4142135623730951, 'hecke_orbit': 3, 'hecke_orbit_code': 9007199422513327, 'label': '175.10.a.c.1.1', 'level': 175, 'weight': 10}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [19, 22, 23, 21], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [3, 3, 3, 3], 'ALdims_old': [23, 23, 22, 21], 'Nk2': 17500, 'analytic_conductor': 90.1312713286778, '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': [175, 1, [127, 101], [1, 1]], 'conrey_index': 1, 'cusp_dim': 174, 'dim': 85, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 167772335, 'hecke_orbit_dims': [1, 2, 2, 3, 4, 5, 6, 8, 8, 10, 10, 13, 13], 'label': '175.10.a', 'level': 175, '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': [5, 7], 'level_radical': 35, 'mf_dim': 186, 'mf_new_dim': 85, 'num_forms': 13, 'plus_dim': 40, 'prim_orbit_index': 1, 'relative_dim': 85, 'sturm_bound': 200, 'trace_bound': 2, 'trace_display': [-17, 294, 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• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 40526240
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513327, 'source_is_minimal': False, 'source_label': '175.10.a.c.1.1', 'source_level': 175, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199422513327, 'target_is_minimal': False, 'target_label': '175.10.a.c.1.1', 'target_level': 175, 'twist_class_label': '35.10.a.b.1.2', 'twist_class_level': 35, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 40526241
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513327, 'source_is_minimal': False, 'source_label': '175.10.a.c.1.1', 'source_level': 175, 'target_conrey_index': 99, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007268141990063, 'target_is_minimal': False, 'target_label': '175.10.b.c.99.3', 'target_level': 175, 'twist_class_label': '35.10.a.b.1.2', 'twist_class_level': 35, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 40526242
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513327, 'source_is_minimal': False, 'source_label': '175.10.a.c.1.1', 'source_level': 175, 'target_conrey_index': 99, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268141990063, 'target_is_minimal': False, 'target_label': '175.10.b.c.99.2', 'target_level': 175, 'twist_class_label': '35.10.a.b.1.2', 'twist_class_level': 35, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 40526243
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513327, 'source_is_minimal': False, 'source_label': '175.10.a.c.1.1', 'source_level': 175, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503599795142691, 'target_is_minimal': True, 'target_label': '35.10.a.b.1.2', 'target_level': 35, 'twist_class_label': '35.10.a.b.1.2', 'twist_class_level': 35, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 10}
  • id: 40526244
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513327, 'source_is_minimal': False, 'source_label': '175.10.a.c.1.1', 'source_level': 175, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599795142971, 'target_is_minimal': False, 'target_label': '315.10.a.b.1.1', 'target_level': 315, 'twist_class_label': '35.10.a.b.1.2', 'twist_class_level': 35, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 10}
  • id: 40526245
    {'conductor': 35, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513327, 'source_is_minimal': False, 'source_label': '175.10.a.c.1.1', 'source_level': 175, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007199422513397, 'target_is_minimal': False, 'target_label': '245.10.a.c.1.2', 'target_level': 245, 'twist_class_label': '35.10.a.b.1.2', 'twist_class_level': 35, 'twisting_char_label': '35.34', 'twisting_conrey_index': 34, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 451325
    {'charpoly_factorization': [[[136, -24, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 2}
  • id: 451326
    {'charpoly_factorization': [[[-15759, -174, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 3}
  • id: 451327
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007199422513327, 'p': 5}
  • id: 451328
    {'charpoly_factorization': [[[2401, 1], 2]], 'hecke_orbit_code': 9007199422513327, 'p': 7}
  • id: 451329
    {'charpoly_factorization': [[[-579804919, -18566, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 11}
  • id: 451330
    {'charpoly_factorization': [[[-2036537423, -51090, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 13}
  • id: 451331
    {'charpoly_factorization': [[[33107255257, -373910, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 17}
  • id: 451332
    {'charpoly_factorization': [[[-2624597308, 143276, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 19}
  • id: 451333
    {'charpoly_factorization': [[[-5335908376796, -498908, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 23}
  • id: 451334
    {'charpoly_factorization': [[[32805350195857, 11577554, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 29}
  • id: 451335
    {'charpoly_factorization': [[[-34498247424800, 3953760, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 31}
  • id: 451336
    {'charpoly_factorization': [[[-125243882156764, -3205412, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 37}
  • id: 451337
    {'charpoly_factorization': [[[-857114015266016, -1058992, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 41}
  • id: 451338
    {'charpoly_factorization': [[[-693124389149372, 15948180, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 43}
  • id: 451339
    {'charpoly_factorization': [[[353683714337753, 65501290, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 47}
  • id: 451340
    {'charpoly_factorization': [[[-63398812089856, -25114688, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 53}
  • id: 451341
    {'charpoly_factorization': [[[-8852735693923184, 116159208, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 59}
  • id: 451342
    {'charpoly_factorization': [[[-1496363783503904, 44688544, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 61}
  • id: 451343
    {'charpoly_factorization': [[[-42869690130352064, 118092496, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 67}
  • id: 451344
    {'charpoly_factorization': [[[-25277687205600256, 294165824, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 71}
  • id: 451345
    {'charpoly_factorization': [[[-1639304479840252, -57419332, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 73}
  • id: 451346
    {'charpoly_factorization': [[[113526114873283481, 692852854, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 79}
  • id: 451347
    {'charpoly_factorization': [[[5013675332241296, -540679928, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 83}
  • id: 451348
    {'charpoly_factorization': [[[75907476395176432, 779043704, 1], 1]], 'hecke_orbit_code': 9007199422513327, 'p': 89}
  • id: 451349
    {'charpoly_factorization': [[[1769590542896321009, -2673039406, 1], 1]], 'hecke_orbit_code': 9007199422513327, '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': '175.10.a.c', 'level': 175, 'portrait': 'data:image/png;base64,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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29210221
    {'hecke_orbit_code': 9007199422513327, 'n': 1, 'trace_an': 2}
  • id: 29210222
    {'hecke_orbit_code': 9007199422513327, 'n': 2, 'trace_an': 24}
  • id: 29210223
    {'hecke_orbit_code': 9007199422513327, 'n': 3, 'trace_an': 174}
  • id: 29210224
    {'hecke_orbit_code': 9007199422513327, 'n': 4, 'trace_an': -720}
  • id: 29210225
    {'hecke_orbit_code': 9007199422513327, 'n': 5, 'trace_an': 0}
  • id: 29210226
    {'hecke_orbit_code': 9007199422513327, 'n': 6, 'trace_an': 2952}
  • id: 29210227
    {'hecke_orbit_code': 9007199422513327, 'n': 7, 'trace_an': -4802}
  • id: 29210228
    {'hecke_orbit_code': 9007199422513327, 'n': 8, 'trace_an': -20544}
  • id: 29210229
    {'hecke_orbit_code': 9007199422513327, 'n': 9, 'trace_an': 22428}
  • id: 29210230
    {'hecke_orbit_code': 9007199422513327, 'n': 10, 'trace_an': 0}
  • id: 29210231
    {'hecke_orbit_code': 9007199422513327, 'n': 11, 'trace_an': 18566}
  • id: 29210232
    {'hecke_orbit_code': 9007199422513327, 'n': 12, 'trace_an': -41904}
  • id: 29210233
    {'hecke_orbit_code': 9007199422513327, 'n': 13, 'trace_an': 51090}
  • id: 29210234
    {'hecke_orbit_code': 9007199422513327, 'n': 14, 'trace_an': -57624}
  • id: 29210235
    {'hecke_orbit_code': 9007199422513327, 'n': 15, 'trace_an': 0}
  • id: 29210236
    {'hecke_orbit_code': 9007199422513327, 'n': 16, 'trace_an': 112768}
  • id: 29210237
    {'hecke_orbit_code': 9007199422513327, 'n': 17, 'trace_an': 373910}
  • id: 29210238
    {'hecke_orbit_code': 9007199422513327, 'n': 18, 'trace_an': 419472}
  • id: 29210239
    {'hecke_orbit_code': 9007199422513327, 'n': 19, 'trace_an': -143276}
  • id: 29210240
    {'hecke_orbit_code': 9007199422513327, 'n': 20, 'trace_an': 0}
  • id: 29210241
    {'hecke_orbit_code': 9007199422513327, 'n': 21, 'trace_an': -417774}
  • id: 29210242
    {'hecke_orbit_code': 9007199422513327, 'n': 22, 'trace_an': 76808}
  • id: 29210243
    {'hecke_orbit_code': 9007199422513327, 'n': 23, 'trace_an': 498908}
  • id: 29210244
    {'hecke_orbit_code': 9007199422513327, 'n': 24, 'trace_an': -2291904}
  • id: 29210245
    {'hecke_orbit_code': 9007199422513327, 'n': 25, 'trace_an': 0}
  • id: 29210246
    {'hecke_orbit_code': 9007199422513327, 'n': 26, 'trace_an': 319736}
  • id: 29210247
    {'hecke_orbit_code': 9007199422513327, 'n': 27, 'trace_an': 6644538}
  • id: 29210248
    {'hecke_orbit_code': 9007199422513327, 'n': 28, 'trace_an': 1728720}
  • id: 29210249
    {'hecke_orbit_code': 9007199422513327, 'n': 29, 'trace_an': -11577554}
  • id: 29210250
    {'hecke_orbit_code': 9007199422513327, 'n': 30, 'trace_an': 0}
  • id: 29210251
    {'hecke_orbit_code': 9007199422513327, 'n': 31, 'trace_an': -3953760}
  • id: 29210252
    {'hecke_orbit_code': 9007199422513327, 'n': 32, 'trace_an': 11398656}
  • id: 29210253
    {'hecke_orbit_code': 9007199422513327, 'n': 33, 'trace_an': -6267894}
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