Newform data - 64.22.a.m

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• 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': 30976, 'analytic_conductor': 178.86550034371973, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1]], 'atkin_lehner_string': '-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [64, 1, [63, 5], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 6878154568, 'field_disc_factorization': [[2, 3], [859769321, 1]], 'field_poly': [96223, -4963, -1, 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, [-156439878638400, -20431242576, -96764, 1]]], 'hecke_orbit': 13, 'hecke_orbit_code': 54043195897544768, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 220200960, 'hecke_ring_index_factorization': [[2, 21], [3, 1], [5, 1], [7, 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': '64.22.a.m', 'level': 64, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '8.22.a.b', 'prim_orbit_index': 1, 'qexp_display': 'q+(32255-\\beta _{1})q^{3}+(8037261-9\\beta _{1}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '21.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '64.22.a', 'trace_display': [0, 96764, 24111774, -295988280], 'trace_hash': 1532545568959419631, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.146', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.869', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.213', 'prec': 17}, {'__RealLiteral__': 0, 'data': '21.256', 'prec': 20}, {'__RealLiteral__': 0, 'data': '14.416', 'prec': 20}, {'__RealLiteral__': 0, 'data': '227.408', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [3, 0, 96764, 0, 24111774, 0, -295988280, 0, 18844697239, 0, -40335108684, 0, -133734425946, 0, 1223136458200, 0, 7797732274422, 0, 35788199781996, 0, -198539224853088, 0, -193770761479080, 0, 1127564438439501, 0, 5282002293508952, 0, -5607343422466122, 0, -11246757871503072, 0, 10014149026970384, 0, 5274251425350096, 0, 24272499791100606, 0, 52925308377862264, 0, -298159108991869602, 0, -33333932139754860, 0, 927411477977893478, 0, 120874283547603888, 0, -850403331975639477, 0, 3954388789815661240, 0, 1138443393004854222, 0, -6957552484263571704, 0, 681697547133656944, 0, 9225624498709937412, 0, 6554902294063924182, 0, -21785214559631141976, 0, -20714581819561144452, 0, -15793054074531629124, 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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, 0, 0], [0, 0, 0], [32255, -1, 0], [0, 0, 0], [8037261, -9, -1], [0, 0, 0], [-98664098, 4014, -4], [0, 0, 0], [6281605939, -120578, -306], [0, 0, 0], [-13444955723, -241515, 2856], [0, 0, 0], [-44577735635, -1219041, 8551], [0, 0, 0], [407720224330, -24214790, 21060], [0, 0, 0], [2599270326072, -78703794, 206750], [0, 0, 0], [11929396534227, 10179315, -319144], [0, 0, 0], [-66179872171740, 391662132, 1323540], [0, 0, 0], [-64589693893622, -1679798214, -5214236], [0, 0, 0], [375854023120779, 2369077164, 292556], [0, 0, 0], [1760671157218238, -11178145762, -29609784], [0, 0, 0], [-1869113920498543, -1660970493, -33737045], [0, 0, 0], [-3748921264001176, 5920500456, -74881888], [0, 0, 0], [3338037660191858, 36046394810, -141916374], [0, 0, 0], [1758047959172804, 107547831684, -83942384], [0, 0, 0], [8090763662016401, 208805051403, -10140941], [0, 0, 0], [17641746644228050, 68445178114, -576660060], [0, 0, 0], [-99386278879320634, -272353907700, 1361738284], [0, 0, 0], 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8047910159066322864949306839318, -101272785249772925679964635866], [949491152959055555789372701048004993, 36025277618141943109626784521249, -6870839968485892495101891848], [-959087171193641227029855457089458254, 2125141135483649622292605043170, 3127967347566374369824838244]], 'char_orbit_index': 1, 'field_poly': [96223, -4963, -1, 1], 'hecke_orbit_code': 54043195897544768, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1], 'hecke_ring_inverse_denominators': [1, 573440, 57344], 'hecke_ring_inverse_numerators': [[1, 0, 0], [191193, -139, 1], [189750951, 1035, -1]], 'hecke_ring_numerators': [[1, 0, 0], [-211989, 640, 64], [-29657664, 662400, 8896]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 3, 'label': '64.22.a.m', 'level': 64, 'maxp': 2999, 'weight': 22}
• 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': [20, 21], 'Nk2': 30976, 'analytic_conductor': 178.86550034371973, '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': [64, 1, [63, 5], [1, 1]], 'conrey_index': 1, 'cusp_dim': 162, 'dim': 41, 'eis_dim': 12, 'eis_new_dim': 2, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 369098816, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 4, 5, 5, 6], 'label': '64.22.a', 'level': 64, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 174, 'mf_new_dim': 43, 'num_forms': 17, 'plus_dim': 20, 'prim_orbit_index': 1, 'relative_dim': 41, 'sturm_bound': 176, 'trace_bound': 3, 'trace_display': [0, 0, 2, 0], 'traces': [41, 0, 0, 0, 2, 0, 0, 0, 135984591637, 0, 0, 0, -1065395863654, 0, 0, 0, 3481428994002, 0, 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495182466685764724578259723968, 0, 0, 0, 105806735112865252176160923450, 0, 0, 0, 1576598380674116265391792517474, 0, 0, 0, -1617812658227905441845287819918, 0, 0, 0, -969886775408348708392211711744, 0, 0, 0, 1438851923527266265722357779968, 0, 0, 0, -1431138089526406070684715103134, 0, 0, 0, -1193606064140898177013347848702, 0, 0, 0, -2074125810667187215239479917632, 0, 0, 0, -864686524034317843388117943532, 0, 0, 0, 467145124744432660361812665076, 0, 0, 0, 1589199887006526317627614781312, 0, 0, 0, -1502929529734985216409161632652, 0, 0, 0, 972012854901863515095971672938, 0, 0, 0, 888475964245906758949977677312, 0, 0, 0, 2763321243951465701592733282, 0, 0, 0, 1449183904180596600499663320064, 0, 0, 0, -121571362963732233414287165696, 0, 0, 0, 2386420877105942155016839101184, 0, 0, 0, 7081564319911339902125881480374, 0, 0, 0, 2700929754870916416833251366429, 0, 0, 0, -1201679049127256274860392799190, 0, 0, 0, -1431160863859537544810539387584, 0, 0, 0, -5379890722352689209985871876736, 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-23791174654740424393138894105600, 0, 0, 0, -19766277152895873921982382528689, 0, 0, 0, -7215509264109927958476683979890, 0, 0, 0, -19627772101186882355626185836480, 0, 0, 0, 25300856462683228256522018102418, 0, 0, 0, -4758205688154093019341200927190, 0, 0, 0, 15321873653553874749002680077568, 0, 0, 0, 36889352759526962189977649824340, 0, 0, 0, -30349173427315464670056950864128, 0, 0, 0, 2766885562490280873961319686458, 0, 0, 0, -5235904358089181632808367195430, 0, 0, 0, 22232710837210104176945314443714, 0, 0, 0, 57827232968153578676785303267968, 0, 0, 0, -14765434649443935701334431281152, 0, 0, 0, -17931836082842126881262458673408, 0, 0, 0, -13342427112248347505108268166400, 0, 0, 0, -3909232174268343597046456488604, 0, 0, 0, -6345808285080739273592841595900, 0, 0, 0, -12307653913254825121382416223718, 0, 0, 0, -31239614097697986395706970604992, 0, 0, 0, -23664055925029787594251706477440, 0, 0, 0, 36301190258150828836484947318464, 0, 0, 0, -9127563635824081253735959908962, 0, 0, 0, 30141823906356331713787555075170, 0, 0, 0, 59157160330155378665449513791360, 0, 0, 0, 40067730737682004540504282242762, 0, 0, 0, 83295432770053879010755530367706, 0, 0, 0, 78348005402438194535792817648128, 0, 0, 0, -94324740210416979300527426338268, 0, 0, 0, -62146399342576214179730298518902, 0, 0, 0, -23826083507040849815639040400768, 0, 0, 0, -30735063817478794007026273579895, 0, 0, 0, 206016186896374420343746947018340, 0, 0, 0, 3555852072565135155874135991680, 0, 0, 0, -75922187246540344807910292187776, 0, 0, 0, 62352018236611973023084332325010, 0, 0, 0, -227788984639399634490757611919662, 0, 0, 0, 63242810104418171315710222969188, 0, 0, 0, -159524687651408052550182144246656, 0, 0, 0, -38059650958299519418987983944384, 0, 0, 0, 216431701500454712799083272908482, 0, 0, 0], 'weight': 22, '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: 56410
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '64.22.a.m', 'source_level': 64, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '8.22.a.b', 'target_level': 8, 'twist_class_label': '8.22.a.b', 'twist_class_level': 8, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 22}
  • id: 56411
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '64.22.a.m', 'source_level': 64, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '16.22.a.f', 'target_level': 16, 'twist_class_label': '8.22.a.b', 'twist_class_level': 8, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 22}
  • id: 56412
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '64.22.a.m', 'source_level': 64, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '64.22.a.l', 'target_level': 64, 'twist_class_label': '8.22.a.b', 'twist_class_level': 8, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 22}
  • id: 56413
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '64.22.a.m', 'source_level': 64, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '64.22.a.m', 'target_level': 64, 'twist_class_label': '8.22.a.b', 'twist_class_level': 8, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 22}
  • id: 56414
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '64.22.a.m', 'source_level': 64, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '72.22.a.f', 'target_level': 72, 'twist_class_label': '8.22.a.b', 'twist_class_level': 8, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 22}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 210350
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 54043195897544768, 'p': 2}
  • id: 210351
    {'charpoly_factorization': [[[-156439878638400, -20431242576, -96764, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 3}
  • id: 210352
    {'charpoly_factorization': [[[22232142716343413695000, -988349133810900, -24111774, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 5}
  • id: 210353
    {'charpoly_factorization': [[[-35553267238349450938553856, -368812599188427072, 295988280, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 7}
  • id: 210354
    {'charpoly_factorization': [[[-59524752563419325669726498167744, -10441954462928913022416, 40335108684, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 11}
  • id: 210355
    {'charpoly_factorization': [[[6472174164833194012324148941520248, -115098792875405225576820, 133734425946, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 13}
  • id: 210356
    {'charpoly_factorization': [[[1324949703836841726808989570114822854200, -175713729547804795693822260, -7797732274422, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 17}
  • id: 210357
    {'charpoly_factorization': [[[-1425738420978845579396279176799065664, 304370510333927276928827184, -35788199781996, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 19}
  • id: 210358
    {'charpoly_factorization': [[[-13187283552587307446366891509614797597479424, -86213799465445083704509369152, 193770761479080, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 23}
  • id: 210359
    {'charpoly_factorization': [[[4539413024449715535736469217571334882219174712, 9071478183922886643161316725196, 5607343422466122, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 29}
  • id: 210360
    {'charpoly_factorization': [[[23815531358787205788296262423516721428441497600, 34730306601643932286077451791360, 11246757871503072, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 31}
  • id: 210361
    {'charpoly_factorization': [[[15491175144651199711548946573428922329512373624216, -830562241962896743358222496702036, -24272499791100606, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 37}
  • id: 210362
    {'charpoly_factorization': [[[682682244791993949461002798777716495182684271456024, 25705697452807969271020275554023980, 298159108991869602, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 41}
  • id: 210363
    {'charpoly_factorization': [[[887175698016699726736323863486739096590140393260608, -29470189182790362000487752607385808, 33333932139754860, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 43}
  • id: 210364
    {'charpoly_factorization': [[[79030407514911718236255332842532460026835279168958464, -398972777779486261277132360967965952, -120874283547603888, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 47}
  • id: 210365
    {'charpoly_factorization': [[[284423045491652872720017065853366511462763865514745176, -125978547888349244673772890448241172, -1138443393004854222, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 53}
  • id: 210366
    {'charpoly_factorization': [[[109852800450935440695562440827015787836603720112856705856, -1317596243250574505275979197278526800, -9225624498709937412, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 59}
  • id: 210367
    {'charpoly_factorization': [[[142616542823560215737805842663275350499304657022004886200, -20127818242176427305938006561503407540, -6554902294063924182, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 61}
  • id: 210368
    {'charpoly_factorization': [[[-427642881117395197918929380929951975527066981752809379648, -60879887424609609214563462223790821200, 15793054074531629124, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 67}
  • id: 210369
    {'charpoly_factorization': [[[34075829930628978583795667062317168738876519270969338124800, -909655798496155836384343412609489253696, -41139582493467997704, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 71}
  • id: 210370
    {'charpoly_factorization': [[[-2849523567747148932946034203357249953114615850835374948456, -249864080979506983216201233138279364692, 19422167949903851970, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 73}
  • id: 210371
    {'charpoly_factorization': [[[476496014476853269504318106035757821809474314313337231052800, -2435514001940510088143039378560898014464, -131735321299806049488, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 79}
  • id: 210372
    {'charpoly_factorization': [[[-449639703892492830399135106687059395442514068388941577318976, -29225919704070059779421947421151234601680, -64013993832679681068, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 83}
  • id: 210373
    {'charpoly_factorization': [[[24024093868397735630376515464697869841866586435027748444553176, -47460975537980818038183538970702222924436, -429891446897537246766, 1], 1]], 'hecke_orbit_code': 54043195897544768, 'p': 89}
  • id: 210374
    {'charpoly_factorization': [[[102498063074430008141891262750313561678664841774661971873389944, -538933405515470239165130834825978888202612, 324059336514148638042, 1], 1]], 'hecke_orbit_code': 54043195897544768, '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': 13, 'label': '64.22.a.m', 'level': 64, 'portrait': 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', 'weight': 22}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 58078873
    {'hecke_orbit_code': 54043195897544768, 'n': 1, 'trace_an': 3}
  • id: 58078874
    {'hecke_orbit_code': 54043195897544768, 'n': 2, 'trace_an': 0}
  • id: 58078875
    {'hecke_orbit_code': 54043195897544768, 'n': 3, 'trace_an': 96764}
  • id: 58078876
    {'hecke_orbit_code': 54043195897544768, 'n': 4, 'trace_an': 0}
  • id: 58078877
    {'hecke_orbit_code': 54043195897544768, 'n': 5, 'trace_an': 24111774}
  • id: 58078878
    {'hecke_orbit_code': 54043195897544768, 'n': 6, 'trace_an': 0}
  • id: 58078879
    {'hecke_orbit_code': 54043195897544768, 'n': 7, 'trace_an': -295988280}
  • id: 58078880
    {'hecke_orbit_code': 54043195897544768, 'n': 8, 'trace_an': 0}
  • id: 58078881
    {'hecke_orbit_code': 54043195897544768, 'n': 9, 'trace_an': 18844697239}
  • id: 58078882
    {'hecke_orbit_code': 54043195897544768, 'n': 10, 'trace_an': 0}
  • id: 58078883
    {'hecke_orbit_code': 54043195897544768, 'n': 11, 'trace_an': -40335108684}
  • id: 58078884
    {'hecke_orbit_code': 54043195897544768, 'n': 12, 'trace_an': 0}
  • id: 58078885
    {'hecke_orbit_code': 54043195897544768, 'n': 13, 'trace_an': -133734425946}
  • id: 58078886
    {'hecke_orbit_code': 54043195897544768, 'n': 14, 'trace_an': 0}
  • id: 58078887
    {'hecke_orbit_code': 54043195897544768, 'n': 15, 'trace_an': 1223136458200}
  • id: 58078888
    {'hecke_orbit_code': 54043195897544768, 'n': 16, 'trace_an': 0}
  • id: 58078889
    {'hecke_orbit_code': 54043195897544768, 'n': 17, 'trace_an': 7797732274422}
  • id: 58078890
    {'hecke_orbit_code': 54043195897544768, 'n': 18, 'trace_an': 0}
  • id: 58078891
    {'hecke_orbit_code': 54043195897544768, 'n': 19, 'trace_an': 35788199781996}
  • id: 58078892
    {'hecke_orbit_code': 54043195897544768, 'n': 20, 'trace_an': 0}
  • id: 58078893
    {'hecke_orbit_code': 54043195897544768, 'n': 21, 'trace_an': -198539224853088}
  • id: 58078894
    {'hecke_orbit_code': 54043195897544768, 'n': 22, 'trace_an': 0}
  • id: 58078895
    {'hecke_orbit_code': 54043195897544768, 'n': 23, 'trace_an': -193770761479080}
  • id: 58078896
    {'hecke_orbit_code': 54043195897544768, 'n': 24, 'trace_an': 0}
  • id: 58078897
    {'hecke_orbit_code': 54043195897544768, 'n': 25, 'trace_an': 1127564438439501}
  • id: 58078898
    {'hecke_orbit_code': 54043195897544768, 'n': 26, 'trace_an': 0}
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