Embedded newform data - 104.10.a.d.1.3

Formats: - HTML - YAML - JSON - 2025-09-19T01:40:49.307451

• 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': 10400, 'analytic_conductor': 53.5637269610428, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [13, -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': [104, 1, [79, 53, 41], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 8, 'field_disc': 3613815187269817663017381311533076685388189736, 'field_disc_factorization': [[2, 3], [83, 1], [827, 1], [9349, 1], [16079431, 1], [419909261, 1], [104256000557960475443, 1]], 'field_poly': [1558753465556664, 60107523849756, -44131402568826, 598076469, 5213582205, -24398, -135356, -3, 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, [-11111737226899392, 1407962401337808, -34177629196692, -360203815197, 4560292185, 14336666, -126662, -141, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510799049883752, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 301989888, 'hecke_ring_index_factorization': [[2, 25], [3, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '104.10.a.d', 'level': 104, '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, 13], 'level_radical': 26, 'minimal_twist': '104.10.a.d', 'prim_orbit_index': 1, 'qexp_display': 'q+(18-\\beta _{1})q^{3}+(2^{8}+2\\beta _{1}+\\beta _{3})q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '104.10.a', 'trace_display': [0, 141, 2051, -2417], 'trace_hash': 2044668428146486713, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.095', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.431', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.854', 'prec': 17}, {'__RealLiteral__': 0, 'data': '154.879', 'prec': 24}, {'__RealLiteral__': 0, 'data': '96.710', 'prec': 20}, {'__RealLiteral__': 0, 'data': '5010.666', 'prec': 27}], 'trace_zratio': 0, 'traces': [8, 0, 141, 0, 2051, 0, -2417, 0, 115741, 0, -53118, 0, 228488, 0, -464555, 0, 433095, 0, -434954, 0, 906875, 0, -1124296, 0, 5966065, 0, 7820643, 0, -1913432, 0, 5220148, 0, -1626882, 0, 950707, 0, -419409, 0, 4027101, 0, 12148046, 0, 32143187, 0, 18893544, 0, 57898411, 0, 104302637, 0, 198521477, 0, 273106866, 0, 141214662, 0, 253032058, 0, 50734502, 0, 139520018, 0, -20344158, 0, 58578611, 0, 528144786, 0, 483506576, 0, 334814973, 0, 630864344, 0, 2265796264, 0, 939664146, 0, 865037608, 0, 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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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'angles': [None, -0.3013608995704377, -0.31989032277370305, -0.2013989565884347, -0.32577049271177827, None, -0.3303583833410386, -0.24118386329265462, -0.3952689565028333, -0.43866952991601904, -0.08103275442461037, -0.12475979918020776, -0.23395340259925962, -0.3773521461718497, -0.2166154796047794, -0.14225071573155654, -0.3162433059888549, -0.04022643891276122, -0.10013998137557555, -0.19545303372302614, -0.12223368304143081, -0.39896512373461857, -0.27241826439587347, -0.18595770761459923, -0.28322360202166713, -0.1725955241756206, -0.12362828437495862, -0.23344357232971372, -0.139994894156618, -0.26244618868925756, -0.3318673751421438, -0.3111280346536495, -0.4160221163550863, -0.3054465359640601, -0.23966093266982685, -0.4581819054117878, -0.30130544746022947, -0.2940481498841808, -0.2491900710980961, -0.13586085137718024, -0.2560422720267421, -0.18140114769179386, -0.24311530282406746, -0.18606640607534558, -0.1781296685386991, -0.3975043994350516, -0.23449148822422147, 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-0.22631304956708573, -0.10651664584986108, -0.3264036124783209, -0.23637322998177454, -0.3548428825683166, -0.3245597261089058, -0.3609164609806177, -0.23914804785575522, -0.22210812416273235, -0.1915972427986484, -0.3526810200629659, -0.19370346409599182, -0.25225774901453685, -0.21457984255857804, -0.23665291616327305, -0.3164016631453808, -0.30068591162542874, -0.1838116639660554, -0.23759669293383096, -0.1508589378335169, -0.1348156680716537, -0.22229673008474005, -0.11346169885146051, -0.09958499280189628, -0.31405330347329075, -0.17027234696660762, -0.22835085299085361, -0.31979986522309556, -0.3080214052644873], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': 106.98642448061449, 'hecke_orbit': 4, 'hecke_orbit_code': 13510799049883752, 'label': '104.10.a.d.1.3', 'level': 104, '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': [6, 8, 7, 6], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [2, 2, 2, 2], 'ALdims_old': [23, 24, 25, 23], 'Nk2': 10400, 'analytic_conductor': 53.5637269610428, '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': [104, 1, [79, 53, 41], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 122, 'dim': 27, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 167772264, 'hecke_orbit_dims': [6, 6, 7, 8], 'label': '104.10.a', 'level': 104, '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, 13], 'level_radical': 26, 'mf_dim': 130, 'mf_new_dim': 27, 'num_forms': 4, 'plus_dim': 12, 'prim_orbit_index': 1, 'relative_dim': 27, 'sturm_bound': 140, 'trace_bound': 3, 'trace_display': [0, 146, 1250, -9756], 'traces': [27, 0, 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-30801699505408, 0, -28071834252040, 0, -47565025795040, 0, -95477083193324, 0, -106330415874600, 0, 32306879985208, 0, -32517932620810, 0, -865109944270, 0, 104311202049376, 0, 48546949330530, 0, -159002683491944, 0, 95828281031884, 0, -71551240780000, 0, -37448553672850, 0, -95601225284382, 0, -288430665870, 0, 98237910166352, 0, 179072279857930, 0, -99925718001868, 0, 8919111050070, 0, 127099627139736, 0, 17436848572448, 0, 196919405318124, 0, 94933478362736, 0, -280333790394476, 0, 43781782902043, 0, 181717837827396, 0, 25414343545448, 0, 19733949215028, 0, -243019123960720, 0, 9648895735914, 0, 26721134422100, 0, 45095538118540, 0, -16004564197058, 0, 63579202169440, 0, -101827262757802, 0, -100768801498740, 0, 79470817765906, 0, 155656728318974, 0, 19074977710148, 0, 185637856344972, 0, 75768935362068, 0, 194460704177764, 0, 26568067691310, 0, 6294928349288, 0], 'weight': 10, '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: 42983809
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13510799049883752, 'source_is_minimal': True, 'source_label': '104.10.a.d.1.3', 'source_level': 104, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13510799049883752, 'target_is_minimal': True, 'target_label': '104.10.a.d.1.3', 'target_level': 104, 'twist_class_label': '104.10.a.d.1.3', 'twist_class_level': 104, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 42983810
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13510799049883752, 'source_is_minimal': True, 'source_label': '104.10.a.d.1.3', 'source_level': 104, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 54043195696218320, 'target_is_minimal': False, 'target_label': '208.10.a.m.1.6', 'target_level': 208, 'twist_class_label': '104.10.a.d.1.3', 'twist_class_level': 104, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 307925
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 13510799049883752, 'p': 2}
  • id: 307926
    {'charpoly_factorization': [[[-11111737226899392, 1407962401337808, -34177629196692, -360203815197, 4560292185, 14336666, -126662, -141, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 3}
  • id: 307927
    {'charpoly_factorization': [[[-3230946362509093968245000, 11900739519777929399500, 927132791787628150, -32884360449867855, 10700143708713, 19757275638, -8692232, -2051, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 5}
  • id: 307928
    {'charpoly_factorization': [[[1652936685552226492545517385856, -67384985941011749226185648, -261987452607975535990192, 10377234750544861857, 12811547397002417, -367010289698, -210644802, 2417, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 7}
  • id: 307929
    {'charpoly_factorization': [[[-139491931618590176523467757631463424, -62767732183531885576884968325120, -2674045393279349862174925696, 241063722470743266116064, 7050225419473042128, -226624880583280, -5193417984, 53118, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 11}
  • id: 307930
    {'charpoly_factorization': [[[-28561, 1], 8]], 'hecke_orbit_code': 13510799049883752, 'p': 13}
  • id: 307931
    {'charpoly_factorization': [[[24415028531555610258838731030382457482270376, 196772615574715559713764035813757327420, -2126691592313810910151503521987798, -9072312696771799197171972547, 46440498914688304974177, 117419356598493694, -363872046052, -433095, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 17}
  • id: 307932
    {'charpoly_factorization': [[[539635449555975434703308013718534526252883968, -5659207059968033389871225947223610687488, -54392417012760534846696577228325248, 96168359797630732775253957280, 517646918036760958578128, -423646021447162064, -1326013394144, 434954, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 19}
  • id: 307933
    {'charpoly_factorization': [[[5447758329713318286755859081960754616989579739136, -11383225040641725175117386476113915635826688, -23970925250028160256717580729766117376, 16216947940342219638966508486656, 23478563767741118640246784, -7606897055944027136, -8361415666560, 1124296, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 23}
  • id: 307934
    {'charpoly_factorization': [[[52158721008601751845135243690458887938496891621184768, -25137142147633516710959133310874768225717784064, -21480462099906709676900325190624310380544, 2990033658407527245793099463339136, 2182126760824287069815018528, -123412284220128290720, -82301618538720, 1913432, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 29}
  • id: 307935
    {'charpoly_factorization': [[[-129944458314099560294490235181736664658704452825120768, 22826597110808204755011362876680099057024581632, 106496478450594642009281998479284460728320, -55764172052681538158760548212349952, 5472708536643089991168159488, 1093239833574395882944, -162883117699440, -5220148, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 31}
  • id: 307936
    {'charpoly_factorization': [[[-834614254720462373908403963425064099819926066852954600, -2096430718681170550769709732143025722429735032260, -1404141148842157429465732048799431019102066, -44376101574004037874283373664248411, 77294928192000701923697161641, 486557009406353414174, -560936906390176, 419409, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 37}
  • id: 307937
    {'charpoly_factorization': [[[38420654062833830666519532835629251576305221472138297344, -41067238811979523026669937642049460990814188863488, 15694238770395627917305969354846783479332864, -2416680001724925690485769011185893888, 67219838670289621582877882752, 16221170597304650284888, -1040350121378868, -12148046, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 41}
  • id: 307938
    {'charpoly_factorization': [[[-2194584559290290780680469642632041270350009815444018988736, 1753799494270926643586206375982790030411714158274544, -6463572072387680160034233608336263097411636, -24620570706334259219644424247190390179, 827109136721221482144089541945, 53325632166172188512838, -1891130822288646, -32143187, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 43}
  • id: 307939
    {'charpoly_factorization': [[[-2407696156297736895449548991710243797314352211631855964672, 646135544069728007990006310353750897831835720504656, 552262786059350062563342172859610512644186744, -78639189475447944131371036509457839243, 1018604942755420852142044777169, 161517045531838976669926, -2708533348397898, -57898411, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 47}
  • id: 307940
    {'charpoly_factorization': [[[45318965387520737119957880117028605245512415726521994469965824, -6000227108023849732305194768257500174210372543112151040, 158521302610065206040268989227436363990886400000, 5255424546877329468119137046524332655104, -222602033053254082209619845308544, 1782384763520667177640616, 15461142199884108, -273106866, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 53}
  • id: 307941
    {'charpoly_factorization': [[[15105714072270902582505705749697261583032205424377862112731136, 856860602362718463123644857754222039429038757183270912, -87742915305509215806733350859106770065294969472, -1830831321097959375253982833011147777120, 105205097057197635496481607773776, 683240727412719697424560, -20265964862827632, -50734502, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 59}
  • id: 307942
    {'charpoly_factorization': [[[242864926279901046608294524736205838347010589020102041210454016, 2160453683009001242140331458373750752389061640099201024, -811419033596705765562498970504358193109919666176, -8871273565876419090479524288951977222656, 303002814406459324585661170192192, 2417802618620532476764264, -31710825717597956, -139520018, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 61}
  • id: 307943
    {'charpoly_factorization': [[[-1026390145977935545484059030065593126562546899826047245488936820736, 7006524453088437755338225642794224154002293961023234166784, 119182163431735971581145104607209817009746219004800, -934524125071701081841334056455141071082272, -3666366495766381102905501694858416, 39307328742406454995790864, -2745798962701456, -528144786, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 67}
  • id: 307944
    {'charpoly_factorization': [[[-52249234762093388643223849139510781603420142139182438657215124608, 2964628594329798219839260635979611415867715173885155251184, -4045473212900787113598207916859305505391748523136, -446192369181945943245312551258257295367741, 1264407473215472370938134944370785, 21557973024084812681734218, -66388198788126306, -334814973, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 71}
  • id: 307945
    {'charpoly_factorization': [[[144004225653271077600076578635784433434894453129980514120479802624, 1761523447264436320696817557919107386415563261230443740672, -148074944604605980425863526503584174460560682628096, -2681646099972636393253927248135454036778112, 164882191780907502321266704880928, 85787194766847039065448096, -76145810093503520, -630864344, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 73}
  • id: 307946
    {'charpoly_factorization': [[[-43013889068399869456049786050053968215448042805917758488308889944064, 419264681772681116829258636461097712614651521074519504584704, 2852805659117056239491107689373200080308054659432448, -22211657950979973866962541149084750122024960, -36963869271692884679871591690973184, 336032332510721620861038080, -219885366439224384, -865037608, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 79}
  • id: 307947
    {'charpoly_factorization': [[[-108279715815884006370564098737882368121403562964291201586705989632, 20537119261812516619421239209898024754715491417230435352576, -400697727735503847473430415360885413051990084227072, 1863571151489389795133346843001769157550080, 15226850927274853076450730305707776, -198540375190397785439639808, 830923088022075984, -1520229952, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 83}
  • id: 307948
    {'charpoly_factorization': [[[-277637377399074554407182690866606354340351396327341926303029721440000, 10576194423383154665378669586402366553539815833789709599616000, 201091193470156443366269989525422062002499712647929600, -1028063125515067523436096213311746147121744640, 761239852906573478876516981423423072, 1907617482426850297134260032, -1958175987873165072, -894700240, 1], 1]], 'hecke_orbit_code': 13510799049883752, 'p': 89}
  • id: 307949
    {'charpoly_factorization': [[[-13384285969378052290856955391761170865720249153591582929214806150528256, 141468043153108008457131616161774468958279088034512225086396672, 78372649616674155301964653872807803659284027067571584, -1336519388318368707007205976498350514393426624, 737494124252159882932688647428461760, 2778300600042484190445116592, -2397168585577423896, -980232164, 1], 1]], 'hecke_orbit_code': 13510799049883752, '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': 4, 'label': '104.10.a.d', 'level': 104, '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: 35462593
    {'hecke_orbit_code': 13510799049883752, 'n': 1, 'trace_an': 8}
  • id: 35462594
    {'hecke_orbit_code': 13510799049883752, 'n': 2, 'trace_an': 0}
  • id: 35462595
    {'hecke_orbit_code': 13510799049883752, 'n': 3, 'trace_an': 141}
  • id: 35462596
    {'hecke_orbit_code': 13510799049883752, 'n': 4, 'trace_an': 0}
  • id: 35462597
    {'hecke_orbit_code': 13510799049883752, 'n': 5, 'trace_an': 2051}
  • id: 35462598
    {'hecke_orbit_code': 13510799049883752, 'n': 6, 'trace_an': 0}
  • id: 35462599
    {'hecke_orbit_code': 13510799049883752, 'n': 7, 'trace_an': -2417}
  • id: 35462600
    {'hecke_orbit_code': 13510799049883752, 'n': 8, 'trace_an': 0}
  • id: 35462601
    {'hecke_orbit_code': 13510799049883752, 'n': 9, 'trace_an': 115741}
  • id: 35462602
    {'hecke_orbit_code': 13510799049883752, 'n': 10, 'trace_an': 0}
  • id: 35462603
    {'hecke_orbit_code': 13510799049883752, 'n': 11, 'trace_an': -53118}
  • id: 35462604
    {'hecke_orbit_code': 13510799049883752, 'n': 12, 'trace_an': 0}
  • id: 35462605
    {'hecke_orbit_code': 13510799049883752, 'n': 13, 'trace_an': 228488}
  • id: 35462606
    {'hecke_orbit_code': 13510799049883752, 'n': 14, 'trace_an': 0}
  • id: 35462607
    {'hecke_orbit_code': 13510799049883752, 'n': 15, 'trace_an': -464555}
  • id: 35462608
    {'hecke_orbit_code': 13510799049883752, 'n': 16, 'trace_an': 0}
  • id: 35462609
    {'hecke_orbit_code': 13510799049883752, 'n': 17, 'trace_an': 433095}
  • id: 35462610
    {'hecke_orbit_code': 13510799049883752, 'n': 18, 'trace_an': 0}
  • id: 35462611
    {'hecke_orbit_code': 13510799049883752, 'n': 19, 'trace_an': -434954}
  • id: 35462612
    {'hecke_orbit_code': 13510799049883752, 'n': 20, 'trace_an': 0}
  • id: 35462613
    {'hecke_orbit_code': 13510799049883752, 'n': 21, 'trace_an': 906875}
  • id: 35462614
    {'hecke_orbit_code': 13510799049883752, 'n': 22, 'trace_an': 0}
  • id: 35462615
    {'hecke_orbit_code': 13510799049883752, 'n': 23, 'trace_an': -1124296}
  • id: 35462616
    {'hecke_orbit_code': 13510799049883752, 'n': 24, 'trace_an': 0}
  • id: 35462617
    {'hecke_orbit_code': 13510799049883752, 'n': 25, 'trace_an': 5966065}
  • id: 35462618
    {'hecke_orbit_code': 13510799049883752, 'n': 26, 'trace_an': 0}
  • id: 35462619
    {'hecke_orbit_code': 13510799049883752, 'n': 27, 'trace_an': 7820643}
  • id: 35462620
    {'hecke_orbit_code': 13510799049883752, 'n': 28, 'trace_an': 0}
  • id: 35462621
    {'hecke_orbit_code': 13510799049883752, 'n': 29, 'trace_an': -1913432}
  • id: 35462622
    {'hecke_orbit_code': 13510799049883752, 'n': 30, 'trace_an': 0}
  • id: 35462623
    {'hecke_orbit_code': 13510799049883752, 'n': 31, 'trace_an': 5220148}
  • id: 35462624
    {'hecke_orbit_code': 13510799049883752, 'n': 32, 'trace_an': 0}
  • id: 35462625
    {'hecke_orbit_code': 13510799049883752, 'n': 33, 'trace_an': -1626882}
  • id: 35462626
    {'hecke_orbit_code': 13510799049883752, 'n': 34, 'trace_an': 0}
  • id: 35462627
    {'hecke_orbit_code': 13510799049883752, 'n': 35, 'trace_an': 950707}
  • id: 35462628
    {'hecke_orbit_code': 13510799049883752, 'n': 36, 'trace_an': 0}
  • id: 35462629
    {'hecke_orbit_code': 13510799049883752, 'n': 37, 'trace_an': -419409}
  • id: 35462630
    {'hecke_orbit_code': 13510799049883752, 'n': 38, 'trace_an': 0}
  • id: 35462631
    {'hecke_orbit_code': 13510799049883752, 'n': 39, 'trace_an': 4027101}
  • id: 35462632
    {'hecke_orbit_code': 13510799049883752, 'n': 40, 'trace_an': 0}
  • id: 35462633
    {'hecke_orbit_code': 13510799049883752, 'n': 41, 'trace_an': 12148046}
  • id: 35462634
    {'hecke_orbit_code': 13510799049883752, 'n': 42, 'trace_an': 0}
  • id: 35462635
    {'hecke_orbit_code': 13510799049883752, 'n': 43, 'trace_an': 32143187}
  • id: 35462636
    {'hecke_orbit_code': 13510799049883752, 'n': 44, 'trace_an': 0}
  • id: 35462637
    {'hecke_orbit_code': 13510799049883752, 'n': 45, 'trace_an': 18893544}
  • id: 35462638
    {'hecke_orbit_code': 13510799049883752, 'n': 46, 'trace_an': 0}
  • id: 35462639
    {'hecke_orbit_code': 13510799049883752, 'n': 47, 'trace_an': 57898411}
  • id: 35462640
    {'hecke_orbit_code': 13510799049883752, 'n': 48, 'trace_an': 0}
  • id: 35462641
    {'hecke_orbit_code': 13510799049883752, 'n': 49, 'trace_an': 104302637}
  • id: 35462642
    {'hecke_orbit_code': 13510799049883752, 'n': 50, 'trace_an': 0}
  • id: 35462643
    {'hecke_orbit_code': 13510799049883752, 'n': 51, 'trace_an': 198521477}
  • id: 35462644
    {'hecke_orbit_code': 13510799049883752, 'n': 52, 'trace_an': 0}
  • id: 35462645
    {'hecke_orbit_code': 13510799049883752, 'n': 53, 'trace_an': 273106866}
  • id: 35462646
    {'hecke_orbit_code': 13510799049883752, 'n': 54, 'trace_an': 0}
  • id: 35462647
    {'hecke_orbit_code': 13510799049883752, 'n': 55, 'trace_an': 141214662}
  • id: 35462648
    {'hecke_orbit_code': 13510799049883752, 'n': 56, 'trace_an': 0}
  • id: 35462649
    {'hecke_orbit_code': 13510799049883752, 'n': 57, 'trace_an': 253032058}
  • id: 35462650
    {'hecke_orbit_code': 13510799049883752, 'n': 58, 'trace_an': 0}
  • id: 35462651
    {'hecke_orbit_code': 13510799049883752, 'n': 59, 'trace_an': 50734502}
  • id: 35462652
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  • id: 35462833
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  • id: 35462834
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  • id: 35462835
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  • id: 35462836
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  • id: 35462837
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  • id: 35462838
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  • id: 35462839
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  • id: 35462840
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  • id: 35462841
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  • id: 35462842
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  • id: 35462843
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  • id: 35462844
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  • id: 35462845
    {'hecke_orbit_code': 13510799049883752, 'n': 967, 'trace_an': 154001715662017}
  • id: 35462846
    {'hecke_orbit_code': 13510799049883752, 'n': 971, 'trace_an': 46060791857633}
  • id: 35462847
    {'hecke_orbit_code': 13510799049883752, 'n': 977, 'trace_an': 48686481420712}
  • id: 35462848
    {'hecke_orbit_code': 13510799049883752, 'n': 983, 'trace_an': -163038388849081}
  • id: 35462849
    {'hecke_orbit_code': 13510799049883752, 'n': 991, 'trace_an': 143798472434514}
  • id: 35462850
    {'hecke_orbit_code': 13510799049883752, 'n': 997, 'trace_an': 101163061097116}