Embedded newform data - 12.13.d.a.7.2

Formats: - HTML - YAML - JSON - 2024-05-22T03:07:19.515677

• 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_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': 2028, 'analytic_conductor': 10.967925807315426, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 4, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [12, 2, [7, 5], [1, 2]], 'cm_discs': [], 'conrey_index': 7, 'dim': 12, 'field_disc': 89000958623616274880649725474409198557311750209, 'field_disc_factorization': [[3, 6], [7463669, 2], [1480407262790969, 2]], 'field_poly': [104882177440000, 1120796928000, 5806366144000, 27792635520, 304613421264, 2167220880, 881574992, -3551868, 1884069, -4077, 1570, -3, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 206376534028, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 122107157304408336588966199296, 'hecke_ring_index_factorization': [[2, 57], [3, 25]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '12.13.d.a', 'level': 12, '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': '12.13.d.a', 'prim_orbit_index': 2, 'qexp_display': 'q+(-8+\\beta _{2})q^{2}+(\\beta _{1}+\\beta _{2})q^{3}+(-386+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '12.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '12.13.d', 'trace_display': [-90, 0, -10296, 0], 'trace_hash': 769861426812456630, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.018', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.347', 'prec': 20}, {'__RealLiteral__': 0, 'data': '4.730', 'prec': 17}, {'__RealLiteral__': 0, 'data': '656.010', 'prec': 24}, {'__RealLiteral__': 0, 'data': '1492.002', 'prec': 27}, {'__RealLiteral__': 0, 'data': '72376.064', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.504', 'prec': 17}, 'traces': [12, -90, 0, -4692, -10296, -48114, 0, -648000, -2125764, 923028, 0, -3018060, 2094840, 15389208, 0, -61526928, -12097800, 15943230, 0, -377644248, -75057840, 482545560, 0, -332039088, 1058748132, 243358236, 0, -185369520, 1997608680, -577761660, 0, 1733536800, 322101360, -7816269348, 0, 831173724, -960170280, -8280525240, 0, 3985807104, 5806392696, -1390844520, 0, 4989496464, 1823905512, 4149450240, 0, -7791843600, -60479071668, 68552901522, 0, -31090133640, 42482511720, 8523250758, 0, -38053468224, -58319941680, 159666562500, 0, -19968517224, 137368568088, -27876030840, 0, 188355529344, -328250713392, -136719325224, 0, 77938316280, 214339017024, -454939318704, 0, 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-198420724014888240, -1662094559450844288, 0, -1743030930770651952, 328854699310826520, -2893486152294046440, 0, -7413874650599923200], 'weight': 13, 'weight_parity': -1}
• 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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0.2082142187044081, 0.14688877643983506, -0.4619179222015758, -0.46228332583318127, -0.3252252498140961, -0.04947946753907454, 0.07455073725764479, -0.3469615539457673, -0.15335227456186576, -0.3056857386280641, 0.06168520362777759, -0.4311011890950039, 0.024483036252283798, -0.43168689020736956, 0.12276649712045332, -0.20011787790837107, -0.4168923626784075, -0.3370439436644708, -0.4482463826861666, -0.2592103014505365, -0.4747469728714855, -0.458233573210498, -0.23992446939152262, -0.4765215775498245, -0.34654092739895065, -0.29920960162045507], 'char_orbit_index': 4, 'conrey_index': 7, 'dual_conrey_index': 7, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': -25.38699942485411, 'embedding_root_real': 14.657190951856395, 'hecke_orbit': 1, 'hecke_orbit_code': 206376534028, 'label': '12.13.d.a.7.2', 'level': 12, 'weight': 13}
• 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

  
  {'Nk2': 2028, 'analytic_conductor': 10.967925807315426, 'char_conductor': 4, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [12, 2, [7, 5], [1, 2]], 'conrey_index': 7, 'cusp_dim': 22, 'dim': 12, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 206376534028, 'hecke_orbit_dims': [12], 'label': '12.13.d', 'level': 12, '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': 26, 'mf_new_dim': 12, 'num_forms': 1, 'prim_orbit_index': 2, 'relative_dim': 12, 'sturm_bound': 26, 'trace_bound': 0, 'trace_display': [-90, 0, -10296, 0], 'traces': [12, -90, 0, -4692, -10296, -48114, 0, -648000, -2125764, 923028, 0, -3018060, 2094840, 15389208, 0, -61526928, -12097800, 15943230, 0, -377644248, -75057840, 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979079058883406592, 2508876100019278308, 859687911196936380, 0, 985335959358006672, 2463907408801717464, -150204862086497712, 0, -671807115297698400, 1173895203101742288, -2057509473021907500, 0, 739502362951709760, -2930363125099581480, 147265701004585008, 0, 1227234780448320960, 122105398556498040, -681292105458431760, 0, -1700502216897922848, -1134029307549970656, 899763647170739760, 0, -60412813770159648, 1116945216500668080, -1318412975003835732, 0, 1042255997588608320, -1332362246784485184, -861155720223869736, 0, -2739185404957296000, 718627603745979000, -291301727375236608, 0, -285292232469350424, -669819147460859880, -267394105501983000, 0, 467648809708320384, -617157178998405480, -301637283618164130, 0, 409123084110293808, -2016737234538898464, -654175886623482120, 0, -199014695165489760, 2885912856588242880, 2290756858013853864, 0, -1213078082906872560, 2724401175696190080, -252083612628882108, 0, -1694993947383937536, 1269677322174718080, 206370095360650140, 0, 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-2543173750870668288, 1356075100046185164, -3613559472554476680, 0, -1883739983807125992, -66549261023649648, 1357484425766249472, 0, 4917626547945151680, 947532465944596512, 714823464130705320, 0, -94709920763538540, -1171223039948585280, -3408763039770653928, 0, 2930958035262324960, -4646567471958390600, 1067888220368761800, 0, 3527304183235052712, 301201864206029208, 3176666319504468840, 0, -1019809892495826144, 1085045373455087856, -1922058273982706712, 0, -1047210125418139680, 4650354072540115200, -671981129153579376, 0, 373297160389461120, -198420724014888240, -1662094559450844288, 0, -1743030930770651952, 328854699310826520, -2893486152294046440, 0, -7413874650599923200], 'weight': 13, '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: 2324831
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 7, 'source_dim': 12, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206376534028, 'source_is_minimal': True, 'source_label': '12.13.d.a.7.2', 'source_level': 12, 'target_conrey_index': 7, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 206376534028, 'target_is_minimal': True, 'target_label': '12.13.d.a.7.2', 'target_level': 12, 'twist_class_label': '12.13.d.a.7.1', 'twist_class_level': 12, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 13}
  • id: 2324832
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 7, 'source_dim': 12, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206376534028, 'source_is_minimal': True, 'source_label': '12.13.d.a.7.2', 'source_level': 12, 'target_conrey_index': 19, 'target_dim': 12, 'target_embedding_index': 11, 'target_hecke_orbit_code': 13511005258645540, 'target_is_minimal': False, 'target_label': '36.13.d.d.19.11', 'target_level': 36, 'twist_class_label': '12.13.d.a.7.1', 'twist_class_level': 12, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 13}
  • id: 2324833
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 7, 'source_dim': 12, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206376534028, 'source_is_minimal': True, 'source_label': '12.13.d.a.7.2', 'source_level': 12, 'target_conrey_index': 7, 'target_dim': 12, 'target_embedding_index': 1, 'target_hecke_orbit_code': 206376534028, 'target_is_minimal': True, 'target_label': '12.13.d.a.7.1', 'target_level': 12, 'twist_class_label': '12.13.d.a.7.1', 'twist_class_level': 12, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 13}
  • id: 2324834
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 7, 'source_dim': 12, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206376534028, 'source_is_minimal': True, 'source_label': '12.13.d.a.7.2', 'source_level': 12, 'target_conrey_index': 127, 'target_dim': 12, 'target_embedding_index': 11, 'target_hecke_orbit_code': 18014811044446400, 'target_is_minimal': False, 'target_label': '192.13.g.e.127.11', 'target_level': 192, 'twist_class_label': '12.13.d.a.7.1', 'twist_class_level': 12, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 13}
  • id: 2324835
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 7, 'source_dim': 12, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206376534028, 'source_is_minimal': True, 'source_label': '12.13.d.a.7.2', 'source_level': 12, 'target_conrey_index': 127, 'target_dim': 12, 'target_embedding_index': 5, 'target_hecke_orbit_code': 18014811044446400, 'target_is_minimal': False, 'target_label': '192.13.g.e.127.5', 'target_level': 192, 'twist_class_label': '12.13.d.a.7.1', 'twist_class_level': 12, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 13}
  • id: 2324836
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 7, 'source_dim': 12, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206376534028, 'source_is_minimal': True, 'source_label': '12.13.d.a.7.2', 'source_level': 12, 'target_conrey_index': 19, 'target_dim': 12, 'target_embedding_index': 12, 'target_hecke_orbit_code': 13511005258645540, 'target_is_minimal': False, 'target_label': '36.13.d.d.19.12', 'target_level': 36, 'twist_class_label': '12.13.d.a.7.1', 'twist_class_level': 12, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 13}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 52900
    {'charpoly_factorization': [[[4722366482869645213696, 103762935414616227840, 1800313951041355776, 37702253716439040, 835650311946240, 12292498391040, 151412015104, 3001098240, 49808640, 548640, 6396, 90, 1], 1]], 'hecke_orbit_code': 206376534028, 'p': 2}
  • id: 52901
    {'charpoly_factorization': [[[177147, 0, 1], 6]], 'hecke_orbit_code': 206376534028, 'p': 3}
  • id: 52902
    {'charpoly_factorization': [[[-102659689707528703000000, -468777916144506600000, 161626595708847600, -5103550360800, -983857956, 5148, 1], 2]], 'hecke_orbit_code': 206376534028, 'p': 5}
  • id: 52903
    {'charpoly_factorization': [[[9952352021380506491432524757581538316200811006003024488300544, 0, 5876362519125365552698477392498530699635273802711040, 0, 1166343573767896077631834155737993687531520, 0, 107140173115311775481034862411776, 0, 4977242695576779022080, 0, 113287259040, 0, 1], 1]], 'hecke_orbit_code': 206376534028, 'p': 7}
  • id: 52904
    {'charpoly_factorization': [[[10946102497683042426005589711864105685266861743476925354429971539116949504, 0, 83041181601490343494232074702602107110345193684051511685939200, 0, 223579690953750562078730898189215292351887108407296, 0, 253631623458683934602624334560623312896, 0, 111718951565111167283525376, 0, 18775058936352, 0, 1], 1]], 'hecke_orbit_code': 206376534028, 'p': 11}
  • id: 52905
    {'charpoly_factorization': [[[1300019680709518521310221830080792926784, -2639312381966817650363876104244160, 1246947418581013948895507952, 157732315922711590880, -79444124175012, -1047420, 1], 2]], 'hecke_orbit_code': 206376534028, 'p': 13}
  • id: 52906
    {'charpoly_factorization': [[[-66083224315356692412992957104230273908401600, 1210942643272922583466958677292020800, 847936867169004641204265448944, -2458733836233302100000, -1922090990797476, 6048900, 1], 2]], 'hecke_orbit_code': 206376534028, 'p': 17}
  • id: 52907
    {'charpoly_factorization': [[[10808909494719258798483815615288778623737151941372953029176514899274870547388257409532166144, 0, 71572638912966784380970031752725982684099273429788733316206855190571846205440, 0, 146505522226516705752519335344914631317197107664606045201694720, 0, 131420075447973238248960497718338492884845182976, 0, 57946438710062657985585552295680, 0, 12297111855639840, 0, 1], 1]], 'hecke_orbit_code': 206376534028, 'p': 19}
  • id: 52908
    {'charpoly_factorization': [[[228155114053459597614834252254048457503768273607753637551695376408407279460193073730215215104, 0, 9608864847077679814459656096124559488856520343058731360597424150753992966668288, 0, 96558588176570623969423662669381007746828089468500043169653587968, 0, 29575249616822819478000743490565982914460170321920, 0, 2624485875732722579775824301391872, 0, 88618198860561408, 0, 1], 1]], 'hecke_orbit_code': 206376534028, 'p': 23}
  • id: 52909
    {'charpoly_factorization': [[[-21577807648941245061099893769330029837869815976659904, -340392695472026914478933749655821661049556800, 389839239689798313324320543943053040, 1165789897404425057173472928, -1189858319819808900, -998804340, 1], 2]], 'hecke_orbit_code': 206376534028, 'p': 29}
  • id: 52910
    {'charpoly_factorization': [[[2954869326098263827059356451595691795513022084230835741727605766100847904867497932032224340300861416669184, 0, 78866930340575990520367836194103895225233461380506181391954929347011522644235123832127488, 0, 758022253042070335475502953234433259695771849516521820969764209627693056, 0, 3165842108928206646259679671240725037656035713477951488, 0, 5616531525599254748259877572863573760, 0, 4047939152708205984, 0, 1], 1]], 'hecke_orbit_code': 206376534028, 'p': 31}
  • id: 52911
    {'charpoly_factorization': [[[-3106027642441442042288246011001148683018847738100343744, 36048822042031536384761870618157692390213816640, 28843926577878935599554245132227794672, -23165840646975681871617826720, -18117962233087748868, 480085140, 1], 2]], 'hecke_orbit_code': 206376534028, 'p': 37}
  • id: 52912
    {'charpoly_factorization': [[[-1659713273164644902044269026080023248194140481210602986944, -1423681516541722082339571657003254006020704047040, 750470267373715569402281954839538665968, 131860285236101351653054154208, -56639370966301467684, -2903196348, 1], 2]], 'hecke_orbit_code': 206376534028, 'p': 41}
  • id: 52913
    {'charpoly_factorization': [[[95422100177652811726425458267436639913230071155971018975790654544248472979976194111179361687824441806787406987264, 0, 5166986677994700344456025336259601690578247507097277477038284959844444097871013304057585897308160, 0, 2632471830758694510903705166776213611139542370026650589898176985935663853404160, 0, 321387126923044462450800485639251784057619118931724067651584, 0, 14475987781941719189440619401379682113280, 0, 236455229259994958880, 0, 1], 1]], 'hecke_orbit_code': 206376534028, 'p': 43}
  • id: 52914
    {'charpoly_factorization': [[[1300423717197305636614644127446019790837416602237981539392409445586152503519094100184405135730769751549074105958400000000, 0, 100169624486836882746504170822250487098180216598372699483613166940339471178803438113780475373813760000, 0, 2894122836770862258919397424471880249429573370529871358882293609209522413597884416, 0, 39659671220214195355421563874553255870946498354002201991446528, 0, 267709026872615903744048253321393217794048, 0, 847147389206368944768, 0, 1], 1]], 'hecke_orbit_code': 206376534028, 'p': 47}
  • id: 52915
    {'charpoly_factorization': [[[-32630617361867124124207503267113560869586219222293406084010944, 1464479094309847942852814994033932963299234110840000, 568750046262357563024373892434893230275312, 8622148449751371754318737505440, -1420774782008252113668, -21241255860, 1], 2]], 'hecke_orbit_code': 206376534028, 'p': 53}
  • id: 52916
    {'charpoly_factorization': [[[627972716620718990402793633059079541322472038488488846905864732692782550726785707192809669304292354670904077633171843757113344, 0, 15454453105380611509343422255482777262438056307178724279349115912152797448944446381184075110483900938321920, 0, 47759108851964686931863447521113230956961506508531749207232928627628049014481104076800, 0, 58973399340357071690894427280568828740090652504596013782716235776, 0, 34762493218351453552360739576647929774032640, 0, 9661918750687477773600, 0, 1], 1]], 'hecke_orbit_code': 206376534028, 'p': 59}
  • id: 52917
    {'charpoly_factorization': [[[1577424344496743886146235987565010417243403205371115803436388416, -152663816109969300238310536558132942844378025131256000, 1313817059295274636963739005842251981531376, 212334284691901910085254666775392, -3754672719315099384516, -68684284044, 1], 2]], 'hecke_orbit_code': 206376534028, 'p': 61}
  • id: 52918
    {'charpoly_factorization': [[[4470343005647190943606986809157940745765853633780147338599703386951659667202750375602782724875099973474698457858074873264240328704, 0, 28364427855645926116366271082797565553968326175174058309746932314743648657068558869352554649216337124094115840, 0, 22170457997882516695413106679676849203267317380636965647457207576350606554955279086059520, 0, 6723947087837503507788271354690967573332012034744214556057336528896, 0, 920360474939548660514045077837397021068097280, 0, 53516575646963539383840, 0, 1], 1]], 'hecke_orbit_code': 206376534028, 'p': 67}
  • id: 52919
    {'charpoly_factorization': [[[100325325531171414650736908808679295982660735214527945517955011207215603239891523274006657950975746932813635253805817412976640000, 0, 11688594150167315690671579004566088214725764090839692177581402644635794186716532415318674222226380586326425600, 0, 20168604016741511943518649284922048092874094068252200925592413760568052130425429930541056, 0, 9184961615583670971412431734546212756247105380042108641899427397632, 0, 1302216864636666653774077606038489004317278208, 0, 66724704711287153367552, 0, 1], 1]], 'hecke_orbit_code': 206376534028, 'p': 71}
  • id: 52920
    {'charpoly_factorization': [[[-390905594653004494643385932258903673545734513999301724961405654976, 37730683387163917083915942011848819019201310446769011520, -570504520274513252523601558699209516277324560, -10557511098333081380853759487419040, 7163993602105473424572, 402238940340, 1], 2]], 'hecke_orbit_code': 206376534028, 'p': 73}
  • id: 52921
    {'charpoly_factorization': [[[121372094802628025485331267652825588357187238190403844776615927902214820347709913987529465488701943119755628029911337582850474973855744, 0, 132403840056367107381692026890697135347750212539246379297953519225256912767343353062323727037232475197763691216896, 0, 28256781285957841601111101054952527410116396071127810853578582344898646897497416381571727360, 0, 2044808482269279554365806851816756284450875952639877014514115849142272, 0, 44732777168899716007092904084457592391246642944, 0, 366823638976393777617312, 0, 1], 1]], 'hecke_orbit_code': 206376534028, 'p': 79}
  • id: 52922
    {'charpoly_factorization': [[[539619178485260359074042367875722806827374879020446407826255806455405612992821491609542360475269525159058391550019087798486992313053609984, 0, 187031446174653433334688170992118791557184458010953330411322799917031754568654570455923429169446396658644880136863744, 0, 6420196814591176743974295513113405840203622828486752582569610951267362870011496815506285854720, 0, 77130317395467695858711084489224843746318746104099775489035308968951808, 0, 418642487870014235159447810157228242442809620224, 0, 1053654440349087885385248, 0, 1], 1]], 'hecke_orbit_code': 206376534028, 'p': 83}
  • id: 52923
    {'charpoly_factorization': [[[546207061051365725250721770749729088205115938619385846359256818593856, 5105965498843070689066606840925399395802944036400681822016, -29241995193040012856085679585906799634988418832, -317485733954429103586309673925119136, -388182016567154303381700, 711473102964, 1], 2]], 'hecke_orbit_code': 206376534028, 'p': 89}
  • id: 52924
    {'charpoly_factorization': [[[440548815530624751121966598555841368560793771287859815676468987293950016, 1254973399539275521612183752008423157087587456569141044621120, -736256367978343534965504136620254821555971477264, -3362432635494881184242854663497615520, -782958805399580442321348, 2028336928500, 1], 2]], 'hecke_orbit_code': 206376534028, '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': 4, 'hecke_orbit': 1, 'label': '12.13.d.a', 'level': 12, 'portrait': 'data:image/png;base64,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', 'weight': 13}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 27893000
    {'hecke_orbit_code': 206376534028, 'n': 1, 'trace_an': 12}
  • id: 27893001
    {'hecke_orbit_code': 206376534028, 'n': 2, 'trace_an': -90}
  • id: 27893002
    {'hecke_orbit_code': 206376534028, 'n': 3, 'trace_an': 0}
  • id: 27893003
    {'hecke_orbit_code': 206376534028, 'n': 4, 'trace_an': -4692}
  • id: 27893004
    {'hecke_orbit_code': 206376534028, 'n': 5, 'trace_an': -10296}
  • id: 27893005
    {'hecke_orbit_code': 206376534028, 'n': 6, 'trace_an': -48114}
  • id: 27893006
    {'hecke_orbit_code': 206376534028, 'n': 7, 'trace_an': 0}
  • id: 27893007
    {'hecke_orbit_code': 206376534028, 'n': 8, 'trace_an': -648000}
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