Embedded newform data - 1680.2.f.k.881.3

Formats: - HTML - YAML - JSON - 2025-09-25T11:09:09.417626

• 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': 6720, 'analytic_conductor': 13.414867539575104, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 21, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [1680, 2, [1471, 421, 1121, 337, 241], [2, 2, 1, 2, 1]], 'cm_discs': [], 'conrey_index': 881, 'dim': 16, 'field_disc': 472574786982371006611456, 'field_disc_factorization': [[2, 20], [29, 2], [23149271, 2]], 'field_poly': [6561, -4374, 729, -972, 810, -864, 639, -210, 74, -70, 71, -32, 10, -4, 1, -2, 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': [[11, [4096, 0, 124928, 0, 495360, 0, 443392, 0, 161008, 0, 27032, 0, 2169, 0, 78, 0, 1]], [17, [1856, -4640, -1232, 4048, 1612, -98, -79, 0, 1]], [41, [-80896, -33536, 51520, 11392, -4688, -1328, -20, 16, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45036339904644752, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 65536, 'hecke_ring_index_factorization': [[2, 16]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 21, 3, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1680.2.f.k', 'level': 1680, '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, 5, 7], 'level_radical': 210, 'minimal_twist': '840.2.f.a', 'prim_orbit_index': 3, 'qexp_display': 'q+\\beta _{3}q^{3}-q^{5}-\\beta _{9}q^{7}+\\beta _{7}q^{9}+\\beta _{8}q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 16, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1680.2.f', 'trace_display': [0, 0, -16, -2], 'trace_hash': 2170543525629554215, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.022', 'prec': 17}, {'__RealLiteral__': 0, 'data': '13.067', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.122', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1025.741', 'prec': 27}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '127059.416', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.518', 'prec': 17}, 'traces': [16, 0, 0, 0, -16, 0, -2, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 16, 0, 6, 0, 0, 0, 0, 0, -6, 0, 2, 0, 12, 0, -6, 0, -32, 0, -32, 0, 2, 0, 4, 0, -4, 0, -6, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 4, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 32, 0, 4, 0, -6, 0, 20, 0, 0, 0, 6, 0, 24, 0, -20, 0, -32, 0, 0, 0, 0, 0, 58, 0, -40, 0, 0, 0, -2, 0, 0, 0, 36, 0, 28, 0, 0, 0, 0, 0, -22, 0, -4, 0, 20, 0, -4, 0, -16, 0, 28, 0, 52, 0, 16, 0, -12, 0, -6, 0, 0, 0, 0, 0, 22, 0, -52, 0, 0, 0, -24, 0, 0, 0, -28, 0, 30, 0, 0, 0, 0, 0, -64, 0, 24, 0, 48, 0, 6, 0, -60, 0, -84, 0, 92, 0, 28, 0, -2, 0, -56, 0, 0, 0, 0, 0, -8, 0, -12, 0, 0, 0, -52, 0, 0, 0, -8, 0, 6, 0, 0, 0, 0, 0, -68, 0, 68, 0, 32, 0, 48, 0, 40, 0, -68, 0, 92, 0, 32, 0, -48, 0, -40, 0, 0, 0, 0, 0, -2, 0, -112, 0, 0, 0, 26, 0, 0, 0, -4, 0, 38, 0, 0, 0, 0, 0, -20, 0, 4, 0, 96, 0, -44, 0, 16, 0, 0, 0, 6, 0, 60, 0, 48, 0, -50, 0, 0, 0, 0, 0, 8, 0, -96, 0, 0, 0, -10, 0, 0, 0, -20, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, -66, 0, -28, 0, 24, 0, 64, 0, 32, 0, 0, 0, -16, 0, 0, 0, 0, 0, 62, 0, -48, 0, 0, 0, -4, 0, 0, 0, -12, 0, -12, 0, 0, 0, 0, 0, -94, 0, 56, 0, 32, 0, -20, 0, 0, 0, 32, 0, 132, 0, 80, 0, -86, 0, 8, 0, 0, 0, 0, 0, -8, 0, -152, 0, 0, 0, 22, 0, 0, 0, 80, 0, -58, 0, 0, 0, 0, 0, -52, 0, 108, 0, -36, 0, 0, 0, -12, 0, -112, 0, 68, 0, 136, 0, -32, 0, -20, 0, 0, 0, 0, 0, 68, 0, -4, 0, 0, 0, -4, 0, 0, 0, 32, 0, 6, 0, 0, 0, 0, 0, -20, 0, 28, 0, -20, 0, 92, 0, -64, 0, -36, 0, 126, 0, 0, 0, -28, 0, 6, 0, 0, 0, 0, 0, -6, 0, -96, 0, 0, 0, -46, 0, 0, 0, -24, 0, 100, 0, 0, 0, 0, 0, -66, 0, 20, 0, 32, 0, -120, 0, 24, 0, -28, 0, 32, 0, 16, 0, -56, 0, -60, 0, 0, 0, 0, 0, -44, 0, -64, 0, 0, 0, -176, 0, 0, 0, -60, 0, 80, 0, 0, 0, 0, 0, -58, 0, 52, 0, -68, 0, 2, 0, -52, 0, 40, 0, 182, 0, 96, 0, 12, 0, -44, 0, 0, 0, 0, 0, 30, 0, -120, 0, 0, 0, 2, 0, 0, 0, -16, 0, 4, 0, 0, 0, 0, 0, -96, 0, 128, 0, -20, 0, -44, 0, -36, 0, 48, 0, 144, 0, 112, 0, 32, 0, -28, 0, 0, 0, 0, 0, 18, 0, -36, 0, 0, 0, 72, 0, 0, 0, 80, 0, 102, 0, 0, 0, 0, 0, 20, 0, 96, 0, 56, 0, 22, 0, 84, 0, -136, 0, 96, 0, 104, 0, 4, 0, 24, 0, 0, 0, 0, 0, 124, 0, -20, 0, 0, 0, -182, 0, 0, 0, 108, 0, 4, 0, 0, 0, 0, 0, -120, 0, 48, 0, 16, 0, 12, 0, 16, 0, 76, 0, 154, 0, -28, 0, -24, 0, -36, 0, 0, 0, 0, 0, -52, 0, -232, 0, 0, 0, -200, 0, 0, 0, -16, 0, -48, 0, 0, 0, 0, 0, -286, 0, 12, 0, -16, 0, -42, 0, -248, 0, -80, 0, 6, 0, 84, 0, 40, 0, 22, 0, 0, 0, 0, 0, -180, 0, -112, 0, 0, 0, -90, 0, 0, 0, -104, 0, -12, 0, 0, 0, 0, 0, -22, 0, 164, 0, 20, 0, 94, 0, -80, 0, 52, 0, 174, 0, 248, 0, 8, 0, 24, 0, 0, 0, 0, 0, 76, 0, -328, 0, 0, 0, 24, 0, 0, 0, 132, 0, 20, 0, 0, 0, 0, 0, 12, 0, 96, 0, 180, 0, -12, 0, 28, 0, 180, 0, 144, 0, 176, 0, 140, 0, -30, 0, 0, 0, 0, 0, 60, 0, -268, 0, 0, 0, -56, 0, 0, 0, -144, 0, 160, 0, 0, 0, 0, 0, -164, 0, -52, 0, -112, 0, 64, 0, -244, 0, 12, 0, 216, 0, 24, 0, -24, 0, -76, 0, 0, 0, 0, 0, 100, 0, -48, 0, 0, 0, -286, 0, 0, 0, 60, 0, -6, 0, 0, 0, 0, 0, -228, 0, 176, 0, 60, 0, 76, 0, -104, 0, -20, 0, 118, 0, 84, 0, -166, 0, 26, 0, 0, 0, 0, 0, -92, 0, -204, 0, 0, 0, -212, 0, 0, 0, -28, 0, -50, 0, 0, 0, 0, 0, -86, 0, 2, 0, 68, 0, 18, 0, 88, 0, -152, 0, 56, 0, 320, 0, 84, 0, 126, 0, 0, 0, 0, 0, -144, 0, -224, 0, 0, 0, -28, 0, 0, 0, -112, 0, 116, 0, 0, 0, 0, 0, 8, 0, 84, 0, -164, 0, -138, 0, -24, 0, 12, 0, 154, 0, 152, 0, 48, 0, 68, 0, 0, 0, 0, 0, 166, 0, -8, 0, 0, 0, 52, 0, 0, 0, 96, 0, 144, 0, 0, 0, 0, 0, -190, 0, 116, 0, -24, 0, 28, 0, 8, 0, 228, 0, 84, 0, -48, 0, 68, 0, -6, 0, 0, 0, 0, 0, -26, 0, -124, 0, 0, 0, -150, 0, 0, 0, -8, 0, 24, 0, 0, 0, 0, 0, -268, 0, 144, 0, -80, 0, 68, 0, 32, 0, -68, 0, 244, 0, 40, 0, -68, 0, 64, 0, 0, 0, 0, 0, -68, 0, -32, 0, 0, 0, -102, 0, 0, 0, 40, 0, -48, 0, 0, 0, 0, 0, -88, 0, 112, 0, -40, 0, 212, 0, -216, 0, -36, 0, 150, 0, 68, 0, -40, 0, 142, 0, 0, 0, 0, 0, -92, 0, -116, 0, 0, 0, -58, 0, 0, 0, -32, 0, -108, 0, 0, 0, 0, 0, 32, 0, 48, 0, 4, 0, 8, 0, 64, 0, -28, 0, 40, 0, 76, 0, 24, 0, -18, 0, 0, 0, 0, 0, -136, 0, -320, 0, 0, 0, -204, 0, 0, 0, -28, 0, 156, 0, 0, 0, 0, 0, 2, 0, -64, 0, -68, 0, -158, 0, -52, 0, 112, 0, 224, 0, -120, 0, 104, 0, 80, 0, 0, 0, 0, 0, 88, 0, -224, 0, 0, 0, -26, 0, 0, 0, -40, 0, 96, 0, 0, 0, 0, 0, -298, 0, 0, 0, -236, 0, -96, 0, 4, 0, 264, 0, 216, 0, 128, 0, -2, 0, -38, 0, 0, 0, 0, 0, -42, 0, -56, 0, 0, 0, 0, 0, 0, 0, -52, 0, -110, 0, 0, 0, 0, 0, -204, 0, 252, 0, 76, 0, 20, 0, 24, 0, -176, 0, 272, 0, 460, 0, -4, 0, 68, 0, 0, 0, 0, 0, 8, 0, -96, 0, 0, 0, -108, 0, 0, 0, 128, 0, 44, 0, 0, 0, 0, 0, 24, 0, 12, 0, -16, 0, 88, 0, 168, 0, 20, 0, 182, 0, 0, 0, -52, 0, 168, 0, 0, 0, 0, 0, -6, 0, -148, 0, 0, 0, -148, 0, 0, 0, -60, 0, 190, 0, 0, 0, 0, 0, -78, 0, -48, 0, 64, 0, -120, 0, -128, 0, -36, 0, 50, 0, 48, 0, 236, 0, 0, 0, 0, 0, 0, 0, -324, 0, -96, 0, 0, 0, -370, 0, 0, 0, -316, 0, -52, 0, 0, 0, 0, 0, -8, 0, 264, 0, 20, 0, 24, 0, -148, 0, 96, 0, 222, 0, 216, 0, 60, 0, 116, 0, 0, 0, 0, 0, 94, 0, -264, 0, 0, 0, 10, 0, 0, 0, 328, 0, -72, 0, 0, 0, 0, 0, -226, 0, 268, 0, 88, 0, -132, 0, 20, 0, 72, 0, 136, 0, 360, 0, 72, 0, -28, 0, 0, 0, 0, 0, -38, 0, -336, 0, 0, 0, 132, 0, 0, 0, 96, 0, -56, 0, 0, 0, 0, 0, 52, 0, 104, 0, -460, 0, 0, 0, -16, 0, -56, 0, 140, 0, 168, 0, 0, 0, -64, 0, 0, 0, 0, 0, 200, 0, -44, 0, 0, 0, -200, 0, 0, 0, -116, 0, 66, 0, 0, 0, 0, 0, -112, 0, 168, 0, 28, 0, 64, 0, -56, 0, 8, 0, 246, 0, -24, 0, -232, 0, 166, 0, 0, 0, 0, 0, -64, 0, -108, 0, 0, 0, -192, 0, 0, 0, -32, 0, 130, 0, 0, 0, 0, 0, -334, 0, 0, 0, -128, 0, -270, 0, -24, 0, 16, 0, 16, 0, 128, 0, 136, 0, 60, 0, 0, 0, 0, 0, -356, 0, -224, 0, 0, 0, -332, 0, 0, 0, -448, 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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0.015881135637430932, -0.3798012772053229, -0.338420680927245, -0.16158593048002545, -0.3802439937445666, -0.20037007133854487, -0.37070952638747556, 0.009455259839445193, -0.19497691256775573, -0.19504418999102652, -0.44987053477448796, -0.19399570455998558, 0.12601025954243766, 0.058074719282366044, -0.3385413708682644, -0.35369627158835165, 0.040874537374434125, -0.3063270192032063, -0.1616767956440062, -0.4911574685888407, -0.3260610461058811, -0.3921904897519292, -0.4096240116614459, -0.4221262377888537, 0.07327751704650501, -0.30137277623967473, -0.38797970401405085, -0.3461898117594144, -0.3252487397398209, -0.4358761350259995, 0.06656747939029761, -0.43831959294671236, -0.24607896759124206, -0.15102481882443658, -0.21349176496356542, -0.17647535918144902, -0.2976398632344537, -0.17188751642914638, -0.02683850187678715, -0.4916238450647714, -0.3207371198638249, -0.14820223185226744, 0.10827310375827426, 0.1378137499207858, -0.2768638430414948, -0.34694499380911686, -0.3490506065468012, -0.10783499596406595, -0.15321297688154978, -0.2365878397677668, -0.2961666155889722, -0.1958590691691777, -0.43674337123202084, -0.49959036633357295, 0.09347268255602156, 0.022517827802796424, -0.3070731294536049, -0.3725387270086034, -0.38005795741183185, 0.03558109023408003, 0.09707825486689484, 0.10660920917489092, -0.16040233415177255, -0.09340263798055709, -0.19681385526536455, -0.37447850150896145, -0.3150673259203162, -0.46078600521653473, -0.3984147011563683, -0.2167771901887064, 0.09566216388503927, -0.460893011330856, -0.19407469579770217, 0.11751768012191154, -0.366568156375507, -0.3059177473089864, -0.3639670169937601, -0.3672602814672595, -0.2526000586208612, -0.4304277618032664, -0.41418312655388373, 0.025903612951209302, -0.16329113710559948, -0.428624412100042, -0.13869065660141056, -0.4580673012012561, -0.43504970236368884, -0.21052496397107764, -0.39604260536142294, 0.013114031738044105, 0.001785264614950565, -0.15869772688721123, -0.4023756729169522, -0.4939222802745213, 0.03601805370197637, -0.29655509467489555, -0.19741010428494357, -0.1037749746067961, -0.3627510571597363, -0.2279367769238089, -0.20496251749145217, -0.42845083120815236, -0.17545906167774017, -0.2414443757801072, -0.36882636594983587, 0.0078015821251542624, -0.3446784687512751, 0.07393353796180371, -0.22486821141295343, -0.46327964779333725, -0.283999195279204, -0.33837168962115144, -0.3449819644783174, 0.02579511157562354, -0.4381933462107133, -0.4610538140647788, -0.42301007166268945, -0.4646719231786812, -0.39622026941824695, -0.3730003498528592, -0.15172094374491268, -0.3543270198952169, 0.03816178271349323, -0.17555299448244352, 0.06666887981144248, -0.125271432886149, 0.10016202267131454, 0.04263239604139034, -0.3807463825420628, -0.3193739228156147, -0.28583781967165034, -0.34986403218613255, -0.33475697448677855, -0.37923445302054243, -0.41243282314876145, 0.025626583588055328, -0.35852491162699734, -0.3282411388351568, -0.32715606550726384, -0.48615244830990645, -0.47821944454323023, -0.10288163342247678, 0.007975467522758744, -0.2834265727540111, -0.45271306621420127, -0.30009992035937294, -0.19504306470519084, -0.2548198235879511, 0.05969728218685972, -0.11469763569116007, -0.18767499910156535, -0.4664645697602865, 0.10095898256311289, -0.3419988037321136, -0.22135193940415615], 'char_orbit_index': 6, 'conrey_index': 881, 'dual_conrey_index': 881, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': -1.316875494305135, 'embedding_root_real': -1.1250950770928678, 'hecke_orbit': 11, 'hecke_orbit_code': 45036339904644752, 'label': '1680.2.f.k.881.3', 'level': 1680, 'weight': 2}
• 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

  
  {'Nk2': 6720, 'analytic_conductor': 13.414867539575104, 'char_conductor': 21, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [1680, 2, [1471, 421, 1121, 337, 241], [2, 2, 1, 2, 1]], 'conrey_index': 881, 'cusp_dim': 360, 'dim': 64, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [11, 17, 41], 'hecke_orbit_code': 343630939792, 'hecke_orbit_dims': [2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 16, 16], 'label': '1680.2.f', 'level': 1680, '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, 5, 7], 'level_radical': 210, 'mf_dim': 408, 'mf_new_dim': 64, 'num_forms': 12, 'prim_orbit_index': 3, 'relative_dim': 64, 'sturm_bound': 768, 'trace_bound': 7, 'trace_display': [0, 0, 0, -4], 'traces': [64, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -56, 0, 0, 0, 0, 0, 8, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, -16, 0, 12, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -24, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -4, 0, -48, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -60, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 128, 0, 0, 0, -104, 0, 0, 0, 0, 0, 16, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, -72, 0, 0, 0, 32, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, -8, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, -188, 0, 0, 0, 48, 0, 0, 0, 0, 0, 40, 0, 64, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, -28, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -172, 0, 40, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 56, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, -32, 0, 80, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 120, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 128, 0, 0, 0, -48, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 88, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, -184, 0, 0, 0, 184, 0, 0, 0, 0, 0, -136, 0, -184, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -248, 0, 0, 0, -248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -280, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, -96, 0, 0, 0, 0, 0, -220, 0, 0, 0, 0, 0, 4, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, -24, 0, 0, 0, -136, 0, 0, 0, 0, 0, -96, 0, -40, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 116, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, -24, 0, 0, 0, -112, 0, 0, 0, 0, 0, 88, 0, 224, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, -136, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, -264, 0, 0, 0, 264, 0, 0, 0, 0, 0, 16, 0, -168, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -72, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, -64, 0, 0, 0, 0, 0, -144, 0, 96, 0, 0, 0, 0, 0, -248, 0, 0, 0, 0, 0, 64, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 404, 0, 0, 0, -8, 0, 0, 0, 0, 0, 120, 0, -32, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 96, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 488, 0, 144, 0, 0, 0, 160, 0, 0, 0, 0, 0, 360, 0, -64, 0, 0, 0, 0, 0, 272, 0, 0, 0, 0, 0, -24, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 96, 0, 0, 0, 472, 0, 0, 0, 0, 0, -24, 0, -168, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, -140, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, -208, 0, 0, 0, 16, 0, 0, 0, 0, 0, -124, 0, -32, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, -232, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 268, 0, 0, 0, -440, 0, 0, 0, 0, 0, -120, 0, 284, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 352, 0, 0, 0, 344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, -128, 0, 0, 0, 0, 0, 292, 0, 0, 0, 0, 0, 20, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 200, 0, 0, 0, 136, 0, 0, 0, 0, 0, 144, 0, 12, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -104, 0, 0, 0, -512, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 2, '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: 47192534
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 881, 'source_dim': 16, 'source_embedding_index': 3, 'source_hecke_orbit_code': 45036339904644752, 'source_is_minimal': False, 'source_label': '1680.2.f.k.881.3', 'source_level': 1680, 'target_conrey_index': 881, 'target_dim': 16, 'target_embedding_index': 3, 'target_hecke_orbit_code': 45036339904644752, 'target_is_minimal': False, 'target_label': '1680.2.f.k.881.3', 'target_level': 1680, 'twist_class_label': '840.2.f.a.41.13', 'twist_class_level': 840, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47192535
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 881, 'source_dim': 16, 'source_embedding_index': 3, 'source_hecke_orbit_code': 45036339904644752, 'source_is_minimal': False, 'source_label': '1680.2.f.k.881.3', 'source_level': 1680, 'target_conrey_index': 881, 'target_dim': 16, 'target_embedding_index': 13, 'target_hecke_orbit_code': 49539939532015248, 'target_is_minimal': False, 'target_label': '1680.2.f.l.881.13', 'target_level': 1680, 'twist_class_label': '840.2.f.a.41.13', 'twist_class_level': 840, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47192536
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 881, 'source_dim': 16, 'source_embedding_index': 3, 'source_hecke_orbit_code': 45036339904644752, 'source_is_minimal': False, 'source_label': '1680.2.f.k.881.3', 'source_level': 1680, 'target_conrey_index': 41, 'target_dim': 16, 'target_embedding_index': 14, 'target_hecke_orbit_code': 343630938952, 'target_is_minimal': True, 'target_label': '840.2.f.a.41.14', 'target_level': 840, 'twist_class_label': '840.2.f.a.41.13', 'twist_class_level': 840, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47192537
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 881, 'source_dim': 16, 'source_embedding_index': 3, 'source_hecke_orbit_code': 45036339904644752, 'source_is_minimal': False, 'source_label': '1680.2.f.k.881.3', 'source_level': 1680, 'target_conrey_index': 881, 'target_dim': 16, 'target_embedding_index': 14, 'target_hecke_orbit_code': 49539939532015248, 'target_is_minimal': False, 'target_label': '1680.2.f.l.881.14', 'target_level': 1680, 'twist_class_label': '840.2.f.a.41.13', 'twist_class_level': 840, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 47192538
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 881, 'source_dim': 16, 'source_embedding_index': 3, 'source_hecke_orbit_code': 45036339904644752, 'source_is_minimal': False, 'source_label': '1680.2.f.k.881.3', 'source_level': 1680, 'target_conrey_index': 41, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4503943258309448, 'target_is_minimal': True, 'target_label': '840.2.f.b.41.4', 'target_level': 840, 'twist_class_label': '840.2.f.a.41.13', 'twist_class_level': 840, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 47192539
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 881, 'source_dim': 16, 'source_embedding_index': 3, 'source_hecke_orbit_code': 45036339904644752, 'source_is_minimal': False, 'source_label': '1680.2.f.k.881.3', 'source_level': 1680, 'target_conrey_index': 881, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 45036339904644752, 'target_is_minimal': False, 'target_label': '1680.2.f.k.881.4', 'target_level': 1680, 'twist_class_label': '840.2.f.a.41.13', 'twist_class_level': 840, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 2}
  • id: 47192540
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 881, 'source_dim': 16, 'source_embedding_index': 3, 'source_hecke_orbit_code': 45036339904644752, 'source_is_minimal': False, 'source_label': '1680.2.f.k.881.3', 'source_level': 1680, 'target_conrey_index': 41, 'target_dim': 16, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4503943258309448, 'target_is_minimal': True, 'target_label': '840.2.f.b.41.3', 'target_level': 840, 'twist_class_label': '840.2.f.a.41.13', 'twist_class_level': 840, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 47192541
    {'conductor': 84, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 881, 'source_dim': 16, 'source_embedding_index': 3, 'source_hecke_orbit_code': 45036339904644752, 'source_is_minimal': False, 'source_label': '1680.2.f.k.881.3', 'source_level': 1680, 'target_conrey_index': 41, 'target_dim': 16, 'target_embedding_index': 13, 'target_hecke_orbit_code': 343630938952, 'target_is_minimal': True, 'target_label': '840.2.f.a.41.13', 'target_level': 840, 'twist_class_label': '840.2.f.a.41.13', 'twist_class_level': 840, 'twisting_char_label': '84.83', 'twisting_conrey_index': 83, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2125100
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 45036339904644752, 'p': 2}
  • id: 2125101
    {'charpoly_factorization': [[[6561, 0, 729, -486, 162, 54, -81, -60, -70, -20, -9, 2, 2, -2, 1, 0, 1], 1]], 'hecke_orbit_code': 45036339904644752, 'p': 3}
  • id: 2125102
    {'charpoly_factorization': [[[1, 1], 16]], 'hecke_orbit_code': 45036339904644752, 'p': 5}
  • id: 2125103
    {'charpoly_factorization': [[[5764801, 1647086, 470596, 571438, 48020, -18522, -9604, -11130, -4714, -1590, -196, -54, 20, 34, 4, 2, 1], 1]], 'hecke_orbit_code': 45036339904644752, 'p': 7}
  • id: 2125104
    {'charpoly_factorization': [[[4096, 0, 124928, 0, 495360, 0, 443392, 0, 161008, 0, 27032, 0, 2169, 0, 78, 0, 1], 1]], 'hecke_orbit_code': 45036339904644752, 'p': 11}
  • id: 2125105
    {'charpoly_factorization': [[[256000000, 0, 373760000, 0, 171417600, 0, 36520704, 0, 4091920, 0, 251724, 0, 8481, 0, 146, 0, 1], 1]], 'hecke_orbit_code': 45036339904644752, 'p': 13}
  • id: 2125106
    {'charpoly_factorization': [[[1856, -4640, -1232, 4048, 1612, -98, -79, 0, 1], 2]], 'hecke_orbit_code': 45036339904644752, 'p': 17}
  • id: 2125107
    {'charpoly_factorization': [[[65536, 0, 1572864, 0, 4210688, 0, 3403776, 0, 841216, 0, 90624, 0, 4672, 0, 112, 0, 1], 1]], 'hecke_orbit_code': 45036339904644752, 'p': 19}
  • id: 2125108
    {'charpoly_factorization': [[[16777216, 0, 205520896, 0, 499515392, 0, 133120000, 0, 12747008, 0, 597760, 0, 14944, 0, 192, 0, 1], 1]], 'hecke_orbit_code': 45036339904644752, 'p': 23}
  • id: 2125109
    {'charpoly_factorization': [[[2316304384, 0, 5350359040, 0, 3379879936, 0, 501650432, 0, 33617040, 0, 1200988, 0, 23665, 0, 242, 0, 1], 1]], 'hecke_orbit_code': 45036339904644752, 'p': 29}
  • id: 2125110
    {'charpoly_factorization': [[[89718784, 0, 15636971520, 0, 5015478272, 0, 624229376, 0, 39538176, 0, 1381568, 0, 26592, 0, 260, 0, 1], 1]], 'hecke_orbit_code': 45036339904644752, 'p': 31}
  • id: 2125111
    {'charpoly_factorization': [[[1573888, -103936, -424384, -22880, 15856, 784, -212, -6, 1], 2]], 'hecke_orbit_code': 45036339904644752, 'p': 37}
  • id: 2125112
    {'charpoly_factorization': [[[-80896, -33536, 51520, 11392, -4688, -1328, -20, 16, 1], 2]], 'hecke_orbit_code': 45036339904644752, 'p': 41}
  • id: 2125113
    {'charpoly_factorization': [[[8192, -20480, 1408, 7744, -864, -672, 4, 16, 1], 2]], 'hecke_orbit_code': 45036339904644752, 'p': 43}
  • id: 2125114
    {'charpoly_factorization': [[[696832, 242816, -151456, -32112, 11312, 504, -199, -2, 1], 2]], 'hecke_orbit_code': 45036339904644752, 'p': 47}
  • id: 2125115
    {'charpoly_factorization': [[[2083195715584, 0, 980583383040, 0, 165097832448, 0, 12637560832, 0, 485496064, 0, 9645824, 0, 100192, 0, 512, 0, 1], 1]], 'hecke_orbit_code': 45036339904644752, 'p': 53}
  • id: 2125116
    {'charpoly_factorization': [[[-495616, -405504, -20992, 45056, 5424, -1520, -144, 12, 1], 2]], 'hecke_orbit_code': 45036339904644752, 'p': 59}
  • id: 2125117
    {'charpoly_factorization': [[[1073741824, 0, 7113539584, 0, 7919894528, 0, 2723938304, 0, 194650112, 0, 5504000, 0, 72720, 0, 444, 0, 1], 1]], 'hecke_orbit_code': 45036339904644752, 'p': 61}
  • id: 2125118
    {'charpoly_factorization': [[[6326272, -427008, -922240, -4416, 28768, 192, -316, 0, 1], 2]], 'hecke_orbit_code': 45036339904644752, 'p': 67}
  • id: 2125119
    {'charpoly_factorization': [[[83534872576, 0, 1641010642944, 0, 397017784320, 0, 28141681664, 0, 898139648, 0, 14859968, 0, 131168, 0, 580, 0, 1], 1]], 'hecke_orbit_code': 45036339904644752, 'p': 71}
  • id: 2125120
    {'charpoly_factorization': [[[3761489575936, 0, 2344003043328, 0, 487134347264, 0, 41591709696, 0, 1411139584, 0, 22394112, 0, 178064, 0, 684, 0, 1], 1]], 'hecke_orbit_code': 45036339904644752, 'p': 73}
  • id: 2125121
    {'charpoly_factorization': [[[352256, 6895616, -772608, -350720, 50800, 2088, -439, -2, 1], 2]], 'hecke_orbit_code': 45036339904644752, 'p': 79}
  • id: 2125122
    {'charpoly_factorization': [[[1067008, -95232, -212352, -384, 13248, 896, -188, -10, 1], 2]], 'hecke_orbit_code': 45036339904644752, 'p': 83}
  • id: 2125123
    {'charpoly_factorization': [[[-2134016, 1326080, 13312, -113728, 10000, 2368, -232, -12, 1], 2]], 'hecke_orbit_code': 45036339904644752, 'p': 89}
  • id: 2125124
    {'charpoly_factorization': [[[895060875034624, 0, 164741580283904, 0, 10413359167488, 0, 321704965888, 0, 5485687568, 0, 53800060, 0, 299169, 0, 866, 0, 1], 1]], 'hecke_orbit_code': 45036339904644752, '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': 6, 'hecke_orbit': 11, 'label': '1680.2.f.k', 'level': 1680, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 55491649
    {'hecke_orbit_code': 45036339904644752, 'n': 1, 'trace_an': 16}
  • id: 55491650
    {'hecke_orbit_code': 45036339904644752, 'n': 2, 'trace_an': 0}
  • id: 55491651
    {'hecke_orbit_code': 45036339904644752, 'n': 3, 'trace_an': 0}
  • id: 55491652
    {'hecke_orbit_code': 45036339904644752, 'n': 4, 'trace_an': 0}
  • id: 55491653
    {'hecke_orbit_code': 45036339904644752, 'n': 5, 'trace_an': -16}
  • id: 55491654
    {'hecke_orbit_code': 45036339904644752, 'n': 6, 'trace_an': 0}
  • id: 55491655
    {'hecke_orbit_code': 45036339904644752, 'n': 7, 'trace_an': -2}
  • id: 55491656
    {'hecke_orbit_code': 45036339904644752, 'n': 8, 'trace_an': 0}
  • id: 55491657
    {'hecke_orbit_code': 45036339904644752, 'n': 9, 'trace_an': -2}
  • id: 55491658
    {'hecke_orbit_code': 45036339904644752, 'n': 10, 'trace_an': 0}
  • id: 55491659
    {'hecke_orbit_code': 45036339904644752, 'n': 11, 'trace_an': 0}
  • id: 55491660
    {'hecke_orbit_code': 45036339904644752, 'n': 12, 'trace_an': 0}
  • id: 55491661
    {'hecke_orbit_code': 45036339904644752, 'n': 13, 'trace_an': 0}
  • id: 55491662
    {'hecke_orbit_code': 45036339904644752, 'n': 14, 'trace_an': 0}
  • id: 55491663
    {'hecke_orbit_code': 45036339904644752, 'n': 15, 'trace_an': 0}
  • id: 55491664
    {'hecke_orbit_code': 45036339904644752, 'n': 16, 'trace_an': 0}
  • id: 55491665
    {'hecke_orbit_code': 45036339904644752, 'n': 17, 'trace_an': 0}
  • id: 55491666
    {'hecke_orbit_code': 45036339904644752, 'n': 18, 'trace_an': 0}
  • id: 55491667
    {'hecke_orbit_code': 45036339904644752, 'n': 19, 'trace_an': 0}
  • id: 55491668
    {'hecke_orbit_code': 45036339904644752, 'n': 20, 'trace_an': 0}
  • id: 55491669
    {'hecke_orbit_code': 45036339904644752, 'n': 21, 'trace_an': 2}
  • id: 55491670
    {'hecke_orbit_code': 45036339904644752, 'n': 22, 'trace_an': 0}
  • id: 55491671
    {'hecke_orbit_code': 45036339904644752, 'n': 23, 'trace_an': 0}
  • id: 55491672
    {'hecke_orbit_code': 45036339904644752, 'n': 24, 'trace_an': 0}
  • id: 55491673
    {'hecke_orbit_code': 45036339904644752, 'n': 25, 'trace_an': 16}
  • id: 55491674
    {'hecke_orbit_code': 45036339904644752, 'n': 26, 'trace_an': 0}
  • id: 55491675
    {'hecke_orbit_code': 45036339904644752, 'n': 27, 'trace_an': 6}
  • id: 55491676
    {'hecke_orbit_code': 45036339904644752, 'n': 28, 'trace_an': 0}
  • id: 55491677
    {'hecke_orbit_code': 45036339904644752, 'n': 29, 'trace_an': 0}
  • id: 55491678
    {'hecke_orbit_code': 45036339904644752, 'n': 30, 'trace_an': 0}
  • id: 55491679
    {'hecke_orbit_code': 45036339904644752, 'n': 31, 'trace_an': 0}
  • id: 55491680
    {'hecke_orbit_code': 45036339904644752, 'n': 32, 'trace_an': 0}
  • id: 55491681
    {'hecke_orbit_code': 45036339904644752, 'n': 33, 'trace_an': -6}
  • id: 55491682
    {'hecke_orbit_code': 45036339904644752, 'n': 34, 'trace_an': 0}
  • id: 55491683
    {'hecke_orbit_code': 45036339904644752, 'n': 35, 'trace_an': 2}
  • id: 55491684
    {'hecke_orbit_code': 45036339904644752, 'n': 36, 'trace_an': 0}
  • id: 55491685
    {'hecke_orbit_code': 45036339904644752, 'n': 37, 'trace_an': 12}
  • id: 55491686
    {'hecke_orbit_code': 45036339904644752, 'n': 38, 'trace_an': 0}
  • id: 55491687
    {'hecke_orbit_code': 45036339904644752, 'n': 39, 'trace_an': -6}
  • id: 55491688
    {'hecke_orbit_code': 45036339904644752, 'n': 40, 'trace_an': 0}
  • id: 55491689
    {'hecke_orbit_code': 45036339904644752, 'n': 41, 'trace_an': -32}
  • id: 55491690
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  • id: 55491691
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  • id: 55491693
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  • id: 55491695
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  • id: 55491696
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  • id: 55491697
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  • id: 55491698
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  • id: 55491699
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  • id: 55491700
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  • id: 55491701
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  • id: 55491703
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  • id: 55491704
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  • id: 55491705
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  • id: 55491706
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  • id: 55491707
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  • id: 55491708
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  • id: 55491711
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  • id: 55491712
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  • id: 55491715
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  • id: 55491717
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  • id: 55491719
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  • id: 55491725
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  • id: 55491727
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  • id: 55491731
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  • id: 55491737
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  • id: 55491764
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  • id: 55491765
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  • id: 55491767
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  • id: 55491771
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  • id: 55491786
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  • id: 55491788
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  • id: 55491789
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  • id: 55491790
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  • id: 55491791
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  • id: 55491792
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  • id: 55491793
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  • id: 55491794
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  • id: 55491796
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  • id: 55491797
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  • id: 55491798
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  • id: 55491799
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  • id: 55491800
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  • id: 55491801
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  • id: 55491803
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  • id: 55491805
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  • id: 55491806
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  • id: 55491807
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  • id: 55491808
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  • id: 55491810
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  • id: 55491812
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  • id: 55491813
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  • id: 55491815
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  • id: 55491820
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  • id: 55491821
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  • id: 55491822
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  • id: 55491823
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  • id: 55491824
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  • id: 55491825
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  • id: 55491827
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  • id: 55491828
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  • id: 55491829
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  • id: 55491830
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  • id: 55491831
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  • id: 55491832
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  • id: 55491833
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  • id: 55491834
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  • id: 55491835
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  • id: 55491837
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  • id: 55491838
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  • id: 55491839
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  • id: 55491840
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  • id: 55491842
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  • id: 55491846
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  • id: 55491887
    {'hecke_orbit_code': 45036339904644752, 'n': 863, 'trace_an': 0}
  • id: 55491888
    {'hecke_orbit_code': 45036339904644752, 'n': 877, 'trace_an': 68}
  • id: 55491889
    {'hecke_orbit_code': 45036339904644752, 'n': 881, 'trace_an': 88}
  • id: 55491890
    {'hecke_orbit_code': 45036339904644752, 'n': 883, 'trace_an': -152}
  • id: 55491891
    {'hecke_orbit_code': 45036339904644752, 'n': 887, 'trace_an': 320}
  • id: 55491892
    {'hecke_orbit_code': 45036339904644752, 'n': 907, 'trace_an': -112}
  • id: 55491893
    {'hecke_orbit_code': 45036339904644752, 'n': 911, 'trace_an': 0}
  • id: 55491894
    {'hecke_orbit_code': 45036339904644752, 'n': 919, 'trace_an': -164}
  • id: 55491895
    {'hecke_orbit_code': 45036339904644752, 'n': 929, 'trace_an': 152}
  • id: 55491896
    {'hecke_orbit_code': 45036339904644752, 'n': 937, 'trace_an': 0}
  • id: 55491897
    {'hecke_orbit_code': 45036339904644752, 'n': 941, 'trace_an': -8}
  • id: 55491898
    {'hecke_orbit_code': 45036339904644752, 'n': 947, 'trace_an': 0}
  • id: 55491899
    {'hecke_orbit_code': 45036339904644752, 'n': 953, 'trace_an': 0}
  • id: 55491900
    {'hecke_orbit_code': 45036339904644752, 'n': 961, 'trace_an': -24}
  • id: 55491901
    {'hecke_orbit_code': 45036339904644752, 'n': 967, 'trace_an': 228}
  • id: 55491902
    {'hecke_orbit_code': 45036339904644752, 'n': 971, 'trace_an': -48}
  • id: 55491903
    {'hecke_orbit_code': 45036339904644752, 'n': 977, 'trace_an': 0}
  • id: 55491904
    {'hecke_orbit_code': 45036339904644752, 'n': 983, 'trace_an': -124}
  • id: 55491905
    {'hecke_orbit_code': 45036339904644752, 'n': 991, 'trace_an': -8}
  • id: 55491906
    {'hecke_orbit_code': 45036339904644752, 'n': 997, 'trace_an': 0}