Embedded newform data - 294.6.a.g.1.1

Formats: - HTML - YAML - JSON - 2024-12-14T17:29:27.494729

• 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': 10584, 'analytic_conductor': 47.1528430250163, 'analytic_rank': 1, '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': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [294, 1, [197, 199], [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, [-26, 1]], [11, [358, 1]]], 'hecke_orbit': 7, 'hecke_orbit_code': 27021597864886566, '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': True, 'label': '294.6.a.g', 'level': 294, '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': '294.6.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-4q^{2}+9q^{3}+2^{4}q^{4}+26q^{5}-6^{2}q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '294.6.a', 'trace_display': [-4, 9, 26, 0], 'trace_hash': 1795841876473087456, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.997', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.036', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.019', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.142', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.141', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, -4, 9, 16, 26, -36, 0, -64, 81, -104, -358, 144, 332, 0, 234, 256, 126, -324, -2200, 416, 0, 1432, -2142, -576, -2449, -1328, 729, 0, -3610, -936, 5668, -1024, -3222, -504, 0, 1296, -2922, 8800, 2988, -1664, -2142, 0, 6388, -5728, 2106, 8568, -6520, 2304, 0, 9796, 1134, 5312, -10702, -2916, -9308, 0, -19800, 14440, 42524, 3744, -44840, -22672, 0, 4096, 8632, 12888, -1448, 2016, -19278, 0, -4402, -5184, 20500, 11688, -22041, -35200, 0, -11952, 65236, 6656, 6561, 8568, -102804, 0, 3276, -25552, -32490, 22912, -128006, -8424, 0, -34272, 51012, 26080, -57200, -9216, -113324, 0, -28998, -39184, -139714, -4536, -142180, -21248, 0, 42808, -198518, 11664, 132538, 37232, -26298, 0, 47026, 79200, -55692, -57760, 26892, -170096, 0, -14976, -32887, 179360, -19278, 90688, -144924, 0, 165548, -16384, 57492, -34528, -139308, -51552, 0, 5792, 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• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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-0.31410731014556464, -0.2744796431069263, -0.30379058686012, -0.2744708919570591, -0.3031381108062745, -0.15808403890744732, -0.2215004556202169, -0.09794491230033385, -0.2782462496386433, -0.14071238331906613, -0.363557936503239, -0.23502969281420377, -0.30055755179434507, -0.3794578600313879, -0.3362842077075905, -0.10849856589667799, -0.3106437546850425, -0.24017268049644555, -0.06917953760180755, -0.19824247926520855, -0.18293379404950152, -0.3164270752967115, -0.2474551694050068, -0.2262004245148012, -0.044983705133686026, -0.3098798488985162, -0.39000827964051027, -0.21320750970977176, -0.34702186790091166, -0.39938307188990546, -0.29002928436468683, -0.27438880409055977, -0.41109147580851757, -0.3245942818249916, -0.2920002721771521, -0.15178461089853498, -0.3799949904648544, -0.4189659638937752, -0.24792711915637608, -0.2727055453528143, -0.09329837619336322, -0.28330875421914936, -0.2827988544562398, -0.30578516539995176, -0.26437122421047704, -0.3887721944317696, -0.2077860221788641, -0.27847375849725015, -0.2667174826751605, -0.2904968016725396, -0.36401140015163713, -0.2159765796465306, -0.1674683705849802, -0.1442661859502921, -0.17711101718537545, -0.28980078937058784, -0.3888058055178378, -0.2098675079119008, -0.3338700414030847, -0.22475781663590388, -0.2969370182441222, -0.2650486121561524, -0.11045571323954233, -0.3152985010193306, -0.22530275689570253, -0.3738020531748545, -0.23895455535185822], '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': 7, 'hecke_orbit_code': 27021597864886566, 'label': '294.6.a.g.1.1', 'level': 294, '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, 5, 4, 4, 4, 4, 3, 6], 'Nk2': 10584, 'analytic_conductor': 47.1528430250163, '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': [294, 1, [197, 199], [1, 1]], 'conrey_index': 1, 'cusp_dim': 264, 'dim': 33, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11], 'hecke_orbit_code': 100663590, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], 'label': '294.6.a', 'level': 294, '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': 296, 'mf_new_dim': 33, 'num_forms': 23, 'plus_dim': 14, 'prim_orbit_index': 1, 'relative_dim': 33, 'sturm_bound': 336, 'trace_bound': 11, 'trace_display': [4, 9, 22, 0], 'traces': [33, 4, 9, 528, 22, 36, 0, 64, 2673, 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10910016, -3938592, 0, 11032866, -6639360, -44120358, 197640, 9477724, 4097344, 0, -10199136, -47945064, 46080, -17088055, -32620848, -6552900, 0, -45585948, -4333032, 21490776, 8500992, -15195060, 16097976, 0, 256608, 39748798, 2153760, -19327302, 3508224, 4150996, 0, -57283820, 3958688, 7011846, 15225264, 5745848, 4179456, 0, -5196264, 14659812, 8766400, -40633866, 8654688, -50087272, 0, -23855040, 2123240, -11956060, -13075200, -22571892, 1371184, 0, 6326784, -10878366, -3170592, 33752788, -31177344, 4100544, 0, 40370568, 10948608, 6871762, -12333524, -5425902, -1615296, 0, 3899016, 34676156, -4767104, 11866500, 16730328, 19539548, 0, -46998416, 34391744, 27302094, -8104448, 10622946, 2997648, 0, -8841376, 6864480, -1968384, 32009592, 4284864, 28586602, 0, 10040436, 4193088, -41843026, -23772024, -20839640, 561152, 0, 24620080, 12658096, -1365984, 10960910, -46223408, -15519492, 0, 66304786, 26540928, 14137036, 25154816, -7202520, -6785568, 0, -2594304, -76942387, 1028392, 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48186266, 10450944, 0, -16265728, -122520708, -31800072, 12757968, -869760, 127264270, 0, 24530688, -9150464, 76485066, 5137920, 61197532, 10788224, 0, 150090432, -66608640, 746496, 115159380, 8540552, -33830901, 0, 125877320, -20395008, 17306696, -55252608, -13255326, -23250048, 0, -43047072, 39193182, 62669760, -11302146, -17836032, -81506814, 0, 27001500, -33339840, -35523000, 110176, -32057832, 21144960, 0, -24389936, -4277772, -10184576, 94755808, 1801656, -64182744, 0, 172458288, -77167704, -2348304, 31657392, 67486812, 47266272, 0, -27711360, 51388796, 11341440, 39714940, -30177216, -28858842, 0, -12324200, 20505600, -20594928, 1288232, 23292900, 27899104, 0, -5021352, -72612704, 13291520, -149276844, -39495432, 42111504, 0, -252712990, 167899616, 1820880, 624640, 7795506, -9035712, 0, -94933984, -50165928, 35655312, -204123000, -5692032, -108772838, 0, -76792554, -140430080, 41983966, 34483464, -121701360, -20710400, 0, -18458240, 7029164, -20248704, -265205348, 29294704, -39753018, 0, 5281962, -5691384, -181702752, -83623296, -18337896, 35656896, 0, 811008, 69234205, -64978416, -44808876, 23420704, -112119220, 0, -22018204, 29504832, -9679896, 87369056, 735132, 944784, 0, 149152992, -4063986, 22160896, 44947082, -37715472, 153638664, 0, -206226, 36377184, 45759384, 22481280, -19181676, 32128688, 0, -31804544, 88032048, -13029984, -33419940, 27353088, 39342852, 0, -18024496, 20874240, 132149038, 161070256, -9980010, -1968384], '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: 45681606
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597864886566, 'source_is_minimal': True, 'source_label': '294.6.a.g.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597864886566, 'target_is_minimal': True, 'target_label': '294.6.a.g.1.1', 'target_level': 294, 'twist_class_label': '294.6.a.a.1.1', 'twist_class_level': 294, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 45681607
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597864886566, 'source_is_minimal': True, 'source_label': '294.6.a.g.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994511221618, 'target_is_minimal': False, 'target_label': '882.6.a.p.1.1', 'target_level': 882, 'twist_class_label': '294.6.a.a.1.1', 'twist_class_level': 294, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 45681608
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597864886566, 'source_is_minimal': True, 'source_label': '294.6.a.g.1.1', 'source_level': 294, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532671624904998, 'target_is_minimal': False, 'target_label': '294.6.e.j.67.1', 'target_level': 294, 'twist_class_label': '294.6.a.a.1.1', 'twist_class_level': 294, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 45681609
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597864886566, 'source_is_minimal': True, 'source_label': '294.6.a.g.1.1', 'source_level': 294, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 72057869016498470, 'target_is_minimal': False, 'target_label': '294.6.e.q.79.1', 'target_level': 294, 'twist_class_label': '294.6.a.a.1.1', 'twist_class_level': 294, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 45681610
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597864886566, 'source_is_minimal': True, 'source_label': '294.6.a.g.1.1', 'source_level': 294, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532671624904998, 'target_is_minimal': False, 'target_label': '294.6.e.j.79.1', 'target_level': 294, 'twist_class_label': '294.6.a.a.1.1', 'twist_class_level': 294, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 6}
  • id: 45681611
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597864886566, 'source_is_minimal': True, 'source_label': '294.6.a.g.1.1', 'source_level': 294, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 72057869016498470, 'target_is_minimal': False, 'target_label': '294.6.e.q.67.1', 'target_level': 294, 'twist_class_label': '294.6.a.a.1.1', 'twist_class_level': 294, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 6}
  • id: 45681612
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597864886566, 'source_is_minimal': True, 'source_label': '294.6.a.g.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 100663590, 'target_is_minimal': True, 'target_label': '294.6.a.a.1.1', 'target_level': 294, 'twist_class_label': '294.6.a.a.1.1', 'twist_class_level': 294, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 6}
  • id: 45681613
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597864886566, 'source_is_minimal': True, 'source_label': '294.6.a.g.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 85568393020703602, 'target_is_minimal': False, 'target_label': '882.6.a.t.1.1', 'target_level': 882, 'twist_class_label': '294.6.a.a.1.1', 'twist_class_level': 294, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 658400
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 2}
  • id: 658401
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 3}
  • id: 658402
    {'charpoly_factorization': [[[-26, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 5}
  • id: 658403
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 7}
  • id: 658404
    {'charpoly_factorization': [[[358, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 11}
  • id: 658405
    {'charpoly_factorization': [[[-332, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 13}
  • id: 658406
    {'charpoly_factorization': [[[-126, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 17}
  • id: 658407
    {'charpoly_factorization': [[[2200, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 19}
  • id: 658408
    {'charpoly_factorization': [[[2142, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 23}
  • id: 658409
    {'charpoly_factorization': [[[3610, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 29}
  • id: 658410
    {'charpoly_factorization': [[[-5668, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 31}
  • id: 658411
    {'charpoly_factorization': [[[2922, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 37}
  • id: 658412
    {'charpoly_factorization': [[[2142, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 41}
  • id: 658413
    {'charpoly_factorization': [[[-6388, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 43}
  • id: 658414
    {'charpoly_factorization': [[[6520, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 47}
  • id: 658415
    {'charpoly_factorization': [[[10702, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 53}
  • id: 658416
    {'charpoly_factorization': [[[-42524, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 59}
  • id: 658417
    {'charpoly_factorization': [[[44840, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 61}
  • id: 658418
    {'charpoly_factorization': [[[1448, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 67}
  • id: 658419
    {'charpoly_factorization': [[[4402, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 71}
  • id: 658420
    {'charpoly_factorization': [[[-20500, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 73}
  • id: 658421
    {'charpoly_factorization': [[[-65236, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 79}
  • id: 658422
    {'charpoly_factorization': [[[102804, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 83}
  • id: 658423
    {'charpoly_factorization': [[[128006, 1], 1]], 'hecke_orbit_code': 27021597864886566, 'p': 89}
  • id: 658424
    {'charpoly_factorization': [[[113324, 1], 1]], 'hecke_orbit_code': 27021597864886566, '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': 7, 'label': '294.6.a.g', 'level': 294, '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: 46799371
    {'hecke_orbit_code': 27021597864886566, 'n': 1, 'trace_an': 1}
  • id: 46799372
    {'hecke_orbit_code': 27021597864886566, 'n': 2, 'trace_an': -4}
  • id: 46799373
    {'hecke_orbit_code': 27021597864886566, 'n': 3, 'trace_an': 9}
  • id: 46799374
    {'hecke_orbit_code': 27021597864886566, 'n': 4, 'trace_an': 16}
  • id: 46799375
    {'hecke_orbit_code': 27021597864886566, 'n': 5, 'trace_an': 26}
  • id: 46799376
    {'hecke_orbit_code': 27021597864886566, 'n': 6, 'trace_an': -36}
  • id: 46799377
    {'hecke_orbit_code': 27021597864886566, 'n': 7, 'trace_an': 0}
  • id: 46799378
    {'hecke_orbit_code': 27021597864886566, 'n': 8, 'trace_an': -64}
  • id: 46799379
    {'hecke_orbit_code': 27021597864886566, 'n': 9, 'trace_an': 81}
  • id: 46799380
    {'hecke_orbit_code': 27021597864886566, 'n': 10, 'trace_an': -104}
  • id: 46799381
    {'hecke_orbit_code': 27021597864886566, 'n': 11, 'trace_an': -358}
  • id: 46799382
    {'hecke_orbit_code': 27021597864886566, 'n': 12, 'trace_an': 144}
  • id: 46799383
    {'hecke_orbit_code': 27021597864886566, 'n': 13, 'trace_an': 332}
  • id: 46799384
    {'hecke_orbit_code': 27021597864886566, 'n': 14, 'trace_an': 0}
  • id: 46799385
    {'hecke_orbit_code': 27021597864886566, 'n': 15, 'trace_an': 234}
  • id: 46799386
    {'hecke_orbit_code': 27021597864886566, 'n': 16, 'trace_an': 256}
  • id: 46799387
    {'hecke_orbit_code': 27021597864886566, 'n': 17, 'trace_an': 126}
  • id: 46799388
    {'hecke_orbit_code': 27021597864886566, 'n': 18, 'trace_an': -324}
  • id: 46799389
    {'hecke_orbit_code': 27021597864886566, 'n': 19, 'trace_an': -2200}
  • id: 46799390
    {'hecke_orbit_code': 27021597864886566, 'n': 20, 'trace_an': 416}
  • id: 46799391
    {'hecke_orbit_code': 27021597864886566, 'n': 21, 'trace_an': 0}
  • id: 46799392
    {'hecke_orbit_code': 27021597864886566, 'n': 22, 'trace_an': 1432}
  • id: 46799393
    {'hecke_orbit_code': 27021597864886566, 'n': 23, 'trace_an': -2142}
  • id: 46799394
    {'hecke_orbit_code': 27021597864886566, 'n': 24, 'trace_an': -576}
  • id: 46799395
    {'hecke_orbit_code': 27021597864886566, 'n': 25, 'trace_an': -2449}
  • id: 46799396
    {'hecke_orbit_code': 27021597864886566, 'n': 26, 'trace_an': -1328}
  • id: 46799397
    {'hecke_orbit_code': 27021597864886566, 'n': 27, 'trace_an': 729}
  • id: 46799398
    {'hecke_orbit_code': 27021597864886566, 'n': 28, 'trace_an': 0}
  • id: 46799399
    {'hecke_orbit_code': 27021597864886566, 'n': 29, 'trace_an': -3610}
  • id: 46799400
    {'hecke_orbit_code': 27021597864886566, 'n': 30, 'trace_an': -936}
  • id: 46799401
    {'hecke_orbit_code': 27021597864886566, 'n': 31, 'trace_an': 5668}
  • id: 46799402
    {'hecke_orbit_code': 27021597864886566, 'n': 32, 'trace_an': -1024}
  • id: 46799403
    {'hecke_orbit_code': 27021597864886566, 'n': 33, 'trace_an': -3222}
  • id: 46799404
    {'hecke_orbit_code': 27021597864886566, 'n': 34, 'trace_an': -504}
  • id: 46799405
    {'hecke_orbit_code': 27021597864886566, 'n': 35, 'trace_an': 0}
  • id: 46799406
    {'hecke_orbit_code': 27021597864886566, 'n': 36, 'trace_an': 1296}
  • id: 46799407
    {'hecke_orbit_code': 27021597864886566, 'n': 37, 'trace_an': -2922}
  • id: 46799408
    {'hecke_orbit_code': 27021597864886566, 'n': 38, 'trace_an': 8800}
  • id: 46799409
    {'hecke_orbit_code': 27021597864886566, 'n': 39, 'trace_an': 2988}
  • id: 46799410
    {'hecke_orbit_code': 27021597864886566, 'n': 40, 'trace_an': -1664}
  • id: 46799411
    {'hecke_orbit_code': 27021597864886566, 'n': 41, 'trace_an': -2142}
  • id: 46799412
    {'hecke_orbit_code': 27021597864886566, 'n': 42, 'trace_an': 0}
  • id: 46799413
    {'hecke_orbit_code': 27021597864886566, 'n': 43, 'trace_an': 6388}
  • id: 46799414
    {'hecke_orbit_code': 27021597864886566, 'n': 44, 'trace_an': -5728}
  • id: 46799415
    {'hecke_orbit_code': 27021597864886566, 'n': 45, 'trace_an': 2106}
  • id: 46799416
    {'hecke_orbit_code': 27021597864886566, 'n': 46, 'trace_an': 8568}
  • id: 46799417
    {'hecke_orbit_code': 27021597864886566, 'n': 47, 'trace_an': -6520}
  • id: 46799418
    {'hecke_orbit_code': 27021597864886566, 'n': 48, 'trace_an': 2304}
  • id: 46799419
    {'hecke_orbit_code': 27021597864886566, 'n': 49, 'trace_an': 0}
  • id: 46799420
    {'hecke_orbit_code': 27021597864886566, 'n': 50, 'trace_an': 9796}
  • id: 46799421
    {'hecke_orbit_code': 27021597864886566, 'n': 51, 'trace_an': 1134}
  • id: 46799422
    {'hecke_orbit_code': 27021597864886566, 'n': 52, 'trace_an': 5312}
  • id: 46799423
    {'hecke_orbit_code': 27021597864886566, 'n': 53, 'trace_an': -10702}
  • id: 46799424
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  • id: 46799611
    {'hecke_orbit_code': 27021597864886566, 'n': 881, 'trace_an': -30254986}
  • id: 46799612
    {'hecke_orbit_code': 27021597864886566, 'n': 883, 'trace_an': 9830524}
  • id: 46799613
    {'hecke_orbit_code': 27021597864886566, 'n': 887, 'trace_an': 23227248}
  • id: 46799614
    {'hecke_orbit_code': 27021597864886566, 'n': 907, 'trace_an': 30550060}
  • id: 46799615
    {'hecke_orbit_code': 27021597864886566, 'n': 911, 'trace_an': 22150246}
  • id: 46799616
    {'hecke_orbit_code': 27021597864886566, 'n': 919, 'trace_an': -12672264}
  • id: 46799617
    {'hecke_orbit_code': 27021597864886566, 'n': 929, 'trace_an': -40284030}
  • id: 46799618
    {'hecke_orbit_code': 27021597864886566, 'n': 937, 'trace_an': 13410432}
  • id: 46799619
    {'hecke_orbit_code': 27021597864886566, 'n': 941, 'trace_an': -27321270}
  • id: 46799620
    {'hecke_orbit_code': 27021597864886566, 'n': 947, 'trace_an': 8717450}
  • id: 46799621
    {'hecke_orbit_code': 27021597864886566, 'n': 953, 'trace_an': -16298358}
  • id: 46799622
    {'hecke_orbit_code': 27021597864886566, 'n': 961, 'trace_an': 3497073}
  • id: 46799623
    {'hecke_orbit_code': 27021597864886566, 'n': 967, 'trace_an': -5490668}
  • id: 46799624
    {'hecke_orbit_code': 27021597864886566, 'n': 971, 'trace_an': 45167540}
  • id: 46799625
    {'hecke_orbit_code': 27021597864886566, 'n': 977, 'trace_an': -23801050}
  • id: 46799626
    {'hecke_orbit_code': 27021597864886566, 'n': 983, 'trace_an': 9364784}
  • id: 46799627
    {'hecke_orbit_code': 27021597864886566, 'n': 991, 'trace_an': -43391584}
  • id: 46799628
    {'hecke_orbit_code': 27021597864886566, 'n': 997, 'trace_an': 4352936}