Embedded newform data - 168.2.v.a.107.16

Formats: - HTML - YAML - JSON - 2025-12-15T11:16:29.223014

• 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': 672, 'analytic_conductor': 1.3414867539575104, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 168, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 22, 'char_orbit_label': 'v', 'char_order': 6, 'char_parity': 1, 'char_values': [168, 6, [127, 85, 113, 73], [3, 3, 3, 4]], 'cm_discs': [], 'conrey_index': 11, 'dim': 56, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 1443142566056, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 7, 3, 1, 3, 0], [1, 1, 8, 4, -1, 2, 0], [1, 1, 21, 8, -1, 6, 0], [1, 1, 24, 6, 1, 2, 0], [1, 1, 56, 11, -1, 6, 0], [1, 1, 168, 22, 1, 6, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '168.2.v.a', 'level': 168, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '168.2.v.a', 'prim_orbit_index': 22, 'related_objects': [], 'relative_dim': 28, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '168.2.v', 'trace_display': [0, -2, 0, 0], 'traces': [56, 0, -2, -2, 0, -8, 0, 0, -2, 6, 0, 10, 0, 0, 0, -10, 0, -10, -4, 0, 0, -20, 0, -8, -16, 0, -8, -22, 0, -12, 0, 0, -14, -56, 0, 4, 0, 0, 0, 14, 0, -8, -16, 0, 0, -12, 0, 64, -16, 0, -34, -8, 0, 32, 0, 0, 4, -18, 0, 40, 0, 0, 0, 4, 0, -20, -36, 0, 0, -42, 0, 22, 4, 0, 0, 104, 0, 28, 0, 0, -10, 52, 0, 4, 0, 0, 0, 46, 0, 140, 72, 0, 0, 0, 0, -46, -32, 0, -44, 40, 0, 44, 0, 0, 36, 12, 0, 0, 0, 0, 0, -52, 0, 24, 68, 0, 0, 148, 0, -68, -24, 0, -36, -66, 0, -14, 0, 0, -24, 100, 0, -188, 0, 0, 0, 36, 0, -54, -16, 0, 0, 48, 0, -62, -40, 0, 82, -144, 0, 20, 0, 0, -44, 22, 0, -32, 0, 0, 0, -180, 0, -104, 68, 0, 0, -22, 0, -32, 40, 0, 78, -88, 0, -228, 0, 0, -14, -24, 0, 60, 0, 0, 0, -44, 0, -82, -68, 0, 0, -56, 0, -28, -28, 0, 104, -12, 0, -80, 0, 0, 18, -256, 0, 92, 0, 0, 0, 120, 0, -4, 48, 0, 0, -134, 0, 292, 12, 0, 106, 26, 0, 66, 0, 0, 80, -28, 0, 128, 0, 0, 0, 12, 0, -26, 84, 0, 0, 76, 0, 62, -52, 0, -2, 256, 0, 164, 0, 0, -4, 114, 0, 6, 0, 0, 0, 142, 0, 232, -164, 0, 0, -82, 0, -90, 8, 0, 68, 132, 0, 154, 0, 0, 56, 232, 0, 60, 0, 0, 0, 72, 0, 76, -148, 0, 0, 360, 0, -160, -40, 0, 48, -28, 0, -14, 0, 0, 4, 128, 0, -376, 0, 0, 0, 48, 0, -128, -144, 0, 0, 2, 0, -164, 20, 0, -214, -140, 0, 10, 0, 0, -36, 80, 0, -54, 0, 0, 0, -304, 0, -64, -100, 0, 0, -180, 0, 4, 32, 0, -148, -128, 0, -404, 0, 0, 26, 28, 0, 98, 0, 0, 0, -134, 0, -178, 8, 0, 0, -56, 0, -16, 48, 0, -216, 144, 0, -78, 0, 0, 104, -520, 0, 152, 0, 0, 0, 140, 0, -50, -208, 0, 0, -200, 0, 420, 80, 0, -144, -94, 0, 158, 0, 0, -84, -152, 0, 150, 0, 0, 0, 368, 0, -66, -16, 0, 0, -144, 0, 106, -36, 0, 22, 432, 0, 208, 0, 0, 16, 4, 0, 26, 0, 0, 0, 110, 0, 464, 180, 0, 0, -32, 0, -172, 32, 0, -240, 24, 0, 150, 0, 0, -98, 104, 0, 30, 0, 0, 0, 166, 0, 152, 192, 0, 0, 492, 0, -100, 60, 0, -48, -268, 0, 0, 0, 0, 102, 156, 0, -424, 0, 0, 0, 38, 0, -188, 560, 0, 0, 156, 0, -220, 184, 0, 296, -112, 0, 82, 0, 0, 84, -60, 0, -108, 0, 0, 0, -660, 0, -72, 188, 0, 0, -202, 0, -70, -88, 0, 254, -262, 0, -516, 0, 0, -24, 84, 0, 200, 0, 0, 0, -136, 0, -200, 20, 0, 0, -360, 0, 2, 72, 0, 284, -32, 0, -106, 0, 0, -38, -468, 0, 204, 0, 0, 0, 32, 0, 56, 160, 0, 0, -208, 0, 572, -180, 0, 190, -104, 0, 162, 0, 0, -236, -44, 0, 220, 0, 0, 0, -48, 0, -54, 100, 0, 0, -76, 0, 122, 36, 0, -26, 516, 0, 168, 0, 0, 16, 298, 0, 118, 0, 0, 0, 120, 0, 516, -376, 0, 0, 116, 0, -184, 96, 0, 276, 126, 0, 220, 0, 0, -204, 88, 0, 72, 0, 0, 0, -250, 0, 134, -324, 0, 0, 600, 0, -104, 52, 0, 150, -280, 0, 80, 0, 0, 0, 242, 0, -640, 0, 0, 0, 162, 0, -184, -320, 0, 0, 84, 0, -262, -108, 0, -398, -424, 0, 68, 0, 0, -4, 204, 0, -188, 0, 0, 0, -516, 0, -308, -288, 0, 0, -48, 0, -20, -144, 0, -352, -178, 0, -508, 0, 0, -54, 170, 0, 202, 0, 0, 0, -136, 0, -220, 164, 0, 0, -16, 0, -144, 48, 0, -468, -112, 0, -92, 0, 0, -126, -648, 0, 188, 0, 0, 0, 340, 0, -50, -112, 0, 0, -264, 0, 640, -188, 0, -222, 32, 0, 170, 0, 0, 136, -200, 0, 190, 0, 0, 0, 192, 0, 2, -116, 0, 0, 278, 0, 80, 44, 0, 132, 552, 0, 208, 0, 0, -92, 280, 0, -72, 0, 0, 0, 436, 0, 684, 308, 0, 0, -200, 0, -176, -96, 0, -372, 242, 0, 204, 0, 0, 132, 560, 0, 52, 0, 0, 0, 182, 0, 150, 372, 0, 0, 724, 0, -240, 32, 0, -110, -8, 0, 174, 0, 0, -214, 204, 0, -616, 0, 0, 0, -16, 0, -196, 400, 0, 0, 16, 0, -220, -232, 0, 532, 144, 0, 64, 0, 0, 112, 54, 0, -182, 0, 0, 0, -528, 0, -328, 256, 0, 0, -284, 0, -52, -56, 0, 364, -304, 0, -652, 0, 0, -14, -24, 0, 164, 0, 0, 0, -98, 0, -310, -36, 0, 0, -192, 0, -50, -36, 0, 552, 60, 0, -240, 0, 0, 60, -656, 0, 444, 0, 0, 0, 270, 0, 12, 448, 0, 0, -350, 0, 492, 240, 0, 254, -158, 0, 220, 0, 0, 416, -140, 0, 356, 0, 0, 0, 784, 0, -110, -12, 0, 0, -180, 0, 72, -112, 0, -122, 672, 0, 12, 0, 0, 32, -8, 0, 22, 0, 0, 0, 178, 0, 652, -420, 0, 0, -120, 0, -208, -112, 0, 428, 84, 0, 322, 0, 0, 292, -176, 0, -52, 0, 0, 0, -28, 0, 152, -356, 0, 0, 440, 0, -284, -72, 0, 62, -302, 0, -76, 0, 0, 66, 274, 0, -692, 0, 0, 0, -136, 0, -198, -1032, 0, 0, 262, 0, -220, 32, 0, -440, 64, 0, 68, 0, 0, 228, -360, 0, -66, 0, 0, 0, -788], 'weight': 2, '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

  
  {'an_normalized': [[1.0, 0.0], [0.17562809533900853, 0.9844565872234246], [-0.9517297020691295, 0.3069374108827495], [-0.9383095442551843, 0.34579647071598113], [-0.289079541516121, 0.5007004533346381], [-0.4693170308607889, -0.883029741596518], [-0.9174780298186201, -0.3977864562804309], [-0.5052151315309108, -0.8629934361698265], [0.8115788516011884, -0.5842429012266185], [-0.5436883487889895, -0.1966491919225321], [-0.4824295094656719, 0.27853080715502476], [0.7868791895886516, -0.6171070741713361], [0.0, 0.6252348017300647], [0.23046857830110265, -0.973079767755896], [0.12144188514706561, -0.5652608192901838], [0.7608496016807432, -0.6489282576851269], [-0.9448713999891546, 0.545521757133317], [0.7176978205752057, 0.6963546785522445], [-0.6443165922466866, 1.1159890739309006], [0.09810564320447941, -0.5697746993892571], [0.9952866369491868, 0.09697685450857602], [-0.35892966373120966, -0.4260130733105725], [0.10840247541168915, -0.18775859507928155], [0.7457132175195038, 0.6662670614826379], [0.3328660373536586, 0.5765408888106565], [-0.615516519124494, 0.10980879736751391], [-0.5930776952108812, 0.8051452337580774], [0.9984315447036438, 0.05598616383264534], [-0.24527653201817884, 0.0], [0.577803344032289, 0.020278582736156847], [0.664000403855812, -0.3833608119081733], [0.7724682642961753, 0.6350533683520262], [0.3736509685138745, -0.41316170667955415], [-0.7029884516039888, -0.8343759266270288], [0.46439598720107167, -0.34438973905188425], [-0.5594830490880266, 0.8288417929756949], [1.3454322297047352, 0.7767856599964272], [-1.2118028909922505, -0.43830267802097184], [-0.1919079512368153, -0.5950545315738058], [0.5781485633050117, -0.0034876985296506072], [0.0, -0.21807189858258771], [0.07933079313457764, 0.9968483461693854], [-0.9189222937581937, 0.0], [0.3563532430621056, -0.4281705364651313], [0.057919843176660546, 0.5752505689341593], [0.20387870602020308, 0.07374184655306035], [-0.8609662430023589, 1.491237276481778], [-0.5249428054645031, 0.8511375041619638], [0.6835318703997136, 0.7299206683934009], [-0.5091188476498324, 0.4289489413226424], [0.7318211402906111, -0.8092056405185497], [-0.21620398780706263, -0.5866637818638175], [-0.8281480325532519, -1.4343944685704368], [-0.8967916350426194, -0.44245311990942643], [0.0, -0.3220702321219587], [0.12023668274426755, 0.9927452543944264], [0.27067644145134795, -1.259884815457654], [-0.043077450149710095, -0.24146409763661336], [1.2468602807838776, -0.719875118752424], [0.08151511643873596, 0.5723837970144352], [-0.9797640676899969, -0.5656670482231424], [0.4940192027998502, 0.58635064227182], [-0.977009679095451, 0.21319495058233415], [-0.48951534174440897, 0.8719946847297032], [-0.313055348666836, -0.18074258982404992], [0.4723633716508271, 0.29528035366475197], [0.3732825290636993, 0.6465443059161333], [0.6979423543880999, -0.8386014667137678], [-0.04553971858250583, 0.21196820689186777], [0.4205977298969865, 0.39669317475623955], [1.6629285062949435, 0.0], [-0.914219705146788, -0.4052188676768643], [-0.5134170831154526, -0.8892644734297771], [-0.5284160599334202, 1.4609450071473535], [-0.4937604622391113, -0.4465420486623046], [0.2186633249041403, -1.2699456029765206], [0.5534142586140535, -0.06364197121692594], [0.5521009254088493, -0.293433340738788], [-0.2667141549725612, -0.15398748917009175], [0.1049726187880074, 0.5685496236894987], [0.3173204647326075, -0.9483183656672911], [0.21468231704794707, -0.03829955219502132], [0.0, -0.5206846883709291], [-0.9674212047492693, 0.2531722982505636], [0.0, -0.6307967177566719], [-0.16138857221730443, -0.9046391052367125], [0.23343696074221068, -0.07528454368795963], [0.4841009464249624, 0.27561552171126746], [0.8810898686332124, 0.5086974728356372], [-0.5561368601518047, 0.1580497329107986], [0.24870993612340028, -0.5736391940653354], [-0.036788817774669316, 0.2136608751930724], [-0.5142811314944703, 0.5686624360869484], [-1.6192682213552918, -0.5856807267336508], [-0.37251749015580327, -0.6452192196578903], [-0.9301026276907965, -0.36729974402751164], [-0.8868705924349009, 0.0], [-0.5985278096485966, 0.8011020291306553], [-0.22879994041743118, 0.5079057288539857], [-0.5116971843815205, -0.4258699176862968], [0.34033573916531984, 0.5894787918658431], [0.9251561762248982, 0.5783268968465947], [0.3830302092087443, 0.2211425943944272], [0.5395735299579888, -0.3158780825937576], [-0.33627335970180416, 0.47030644567935054], [1.266653021644935, -1.067195754323003], [-0.6070022153440776, -0.3504528924276024], [0.27807408165390013, -0.9605596312110665], [-1.0218074104652088, 0.5899407834920428], [0.3170641615610396, -0.056564581432971967], [-1.5189123944212435, -0.32632649965619576], [-0.9561976655431311, 0.29272175253961985], [0.0, 0.6844368149550573], [1.287840293585297, 0.04519803530760904], [0.06267387578244736, 0.10855433716245945], [0.2301453109744695, -0.0848157591213416], [0.3652889945106226, 0.5074273423691826], [0.9276694989020026, 1.101049520776506], [1.0838999170879469, -0.12464718111545205], [-0.5491706547493436, 0.180774769408953], [-0.3448411789311408, 0.5972824424506861], [0.38480055470850955, -1.0638822166377042], [0.06693442393722501, 0.20754550306765565], [-0.49047310055854587, 0.5893201049141815], [-0.9630581288901764, 0.0], [-0.3814715225308613, -0.9243805912598915], [0.0, 1.931971539818546], [-0.944413558515764, -0.3287598371023922], [0.8745656408631669, -0.2820516296485774], [0.12295191852206182, -0.3399328769580302], [0.40707313544427215, 0.2350237843286155], [-0.20773040997198058, 0.5168807588898926], [1.03507165660059, -0.7675950428967362], [-0.5709359012881488, 0.48103178963251], [-0.23168995532789333, -0.5297052858834256], [0.9481450243191993, 0.5398119699321529], [-0.9715167928008483, 0.5609054818458117], [-0.2166715515935569, -0.007604303490005217], [1.100613127979805, 0.0], [-0.3166584307896346, 0.4837306724847299], [0.36169063728905304, -1.683517558344975], [0.29205696624552335, 1.637080922103667], 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-0.24989204438981308, -0.17098035671232512], 'char_orbit_index': 22, 'conrey_index': 107, 'dual_conrey_index': 11, 'dual_embedding_index': 16, 'dual_embedding_m': 16, 'embedding_index': 16, 'embedding_m': 44, 'hecke_orbit': 1, 'hecke_orbit_code': 1443142566056, 'label': '168.2.v.a.107.16', 'level': 168, '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': 672, 'analytic_conductor': 1.3414867539575104, 'char_conductor': 168, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 22, 'char_orbit_label': 'v', 'char_order': 6, 'char_parity': 1, 'char_values': [168, 6, [127, 85, 113, 73], [3, 3, 3, 4]], 'conrey_index': 11, 'cusp_dim': 56, 'dim': 56, 'eis_dim': 16, 'eis_new_dim': 16, 'hecke_cutter_primes': [], 'hecke_orbit_code': 1443142566056, 'hecke_orbit_dims': [56], 'label': '168.2.v', 'level': 168, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 72, 'mf_new_dim': 72, 'num_forms': 1, 'prim_orbit_index': 22, 'relative_dim': 28, 'sturm_bound': 64, 'trace_bound': 0, 'trace_display': [0, -2, 0, 0], 'traces': [56, 0, -2, -2, 0, -8, 0, 0, -2, 6, 0, 10, 0, 0, 0, -10, 0, -10, -4, 0, 0, -20, 0, -8, -16, 0, -8, -22, 0, -12, 0, 0, -14, -56, 0, 4, 0, 0, 0, 14, 0, -8, -16, 0, 0, -12, 0, 64, -16, 0, -34, -8, 0, 32, 0, 0, 4, -18, 0, 40, 0, 0, 0, 4, 0, -20, -36, 0, 0, -42, 0, 22, 4, 0, 0, 104, 0, 28, 0, 0, -10, 52, 0, 4, 0, 0, 0, 46, 0, 140, 72, 0, 0, 0, 0, -46, -32, 0, -44, 40, 0, 44, 0, 0, 36, 12, 0, 0, 0, 0, 0, -52, 0, 24, 68, 0, 0, 148, 0, -68, -24, 0, -36, -66, 0, -14, 0, 0, -24, 100, 0, -188, 0, 0, 0, 36, 0, -54, -16, 0, 0, 48, 0, -62, -40, 0, 82, -144, 0, 20, 0, 0, -44, 22, 0, -32, 0, 0, 0, -180, 0, -104, 68, 0, 0, -22, 0, -32, 40, 0, 78, -88, 0, -228, 0, 0, -14, -24, 0, 60, 0, 0, 0, -44, 0, -82, -68, 0, 0, -56, 0, -28, -28, 0, 104, -12, 0, -80, 0, 0, 18, -256, 0, 92, 0, 0, 0, 120, 0, -4, 48, 0, 0, -134, 0, 292, 12, 0, 106, 26, 0, 66, 0, 0, 80, -28, 0, 128, 0, 0, 0, 12, 0, -26, 84, 0, 0, 76, 0, 62, -52, 0, -2, 256, 0, 164, 0, 0, -4, 114, 0, 6, 0, 0, 0, 142, 0, 232, -164, 0, 0, -82, 0, -90, 8, 0, 68, 132, 0, 154, 0, 0, 56, 232, 0, 60, 0, 0, 0, 72, 0, 76, -148, 0, 0, 360, 0, -160, -40, 0, 48, -28, 0, -14, 0, 0, 4, 128, 0, -376, 0, 0, 0, 48, 0, -128, -144, 0, 0, 2, 0, -164, 20, 0, -214, -140, 0, 10, 0, 0, -36, 80, 0, -54, 0, 0, 0, -304, 0, -64, -100, 0, 0, -180, 0, 4, 32, 0, -148, -128, 0, -404, 0, 0, 26, 28, 0, 98, 0, 0, 0, -134, 0, -178, 8, 0, 0, -56, 0, -16, 48, 0, -216, 144, 0, -78, 0, 0, 104, -520, 0, 152, 0, 0, 0, 140, 0, -50, -208, 0, 0, -200, 0, 420, 80, 0, -144, -94, 0, 158, 0, 0, -84, -152, 0, 150, 0, 0, 0, 368, 0, -66, -16, 0, 0, -144, 0, 106, -36, 0, 22, 432, 0, 208, 0, 0, 16, 4, 0, 26, 0, 0, 0, 110, 0, 464, 180, 0, 0, -32, 0, -172, 32, 0, -240, 24, 0, 150, 0, 0, -98, 104, 0, 30, 0, 0, 0, 166, 0, 152, 192, 0, 0, 492, 0, -100, 60, 0, -48, -268, 0, 0, 0, 0, 102, 156, 0, -424, 0, 0, 0, 38, 0, -188, 560, 0, 0, 156, 0, -220, 184, 0, 296, -112, 0, 82, 0, 0, 84, -60, 0, -108, 0, 0, 0, -660, 0, -72, 188, 0, 0, -202, 0, -70, -88, 0, 254, -262, 0, -516, 0, 0, -24, 84, 0, 200, 0, 0, 0, -136, 0, -200, 20, 0, 0, -360, 0, 2, 72, 0, 284, -32, 0, -106, 0, 0, -38, -468, 0, 204, 0, 0, 0, 32, 0, 56, 160, 0, 0, -208, 0, 572, -180, 0, 190, -104, 0, 162, 0, 0, -236, -44, 0, 220, 0, 0, 0, -48, 0, -54, 100, 0, 0, -76, 0, 122, 36, 0, -26, 516, 0, 168, 0, 0, 16, 298, 0, 118, 0, 0, 0, 120, 0, 516, -376, 0, 0, 116, 0, -184, 96, 0, 276, 126, 0, 220, 0, 0, -204, 88, 0, 72, 0, 0, 0, -250, 0, 134, -324, 0, 0, 600, 0, -104, 52, 0, 150, -280, 0, 80, 0, 0, 0, 242, 0, -640, 0, 0, 0, 162, 0, -184, -320, 0, 0, 84, 0, -262, -108, 0, -398, -424, 0, 68, 0, 0, -4, 204, 0, -188, 0, 0, 0, -516, 0, -308, -288, 0, 0, -48, 0, -20, -144, 0, -352, -178, 0, -508, 0, 0, -54, 170, 0, 202, 0, 0, 0, -136, 0, -220, 164, 0, 0, -16, 0, -144, 48, 0, -468, -112, 0, -92, 0, 0, -126, -648, 0, 188, 0, 0, 0, 340, 0, -50, -112, 0, 0, -264, 0, 640, -188, 0, -222, 32, 0, 170, 0, 0, 136, -200, 0, 190, 0, 0, 0, 192, 0, 2, -116, 0, 0, 278, 0, 80, 44, 0, 132, 552, 0, 208, 0, 0, -92, 280, 0, -72, 0, 0, 0, 436, 0, 684, 308, 0, 0, -200, 0, -176, -96, 0, -372, 242, 0, 204, 0, 0, 132, 560, 0, 52, 0, 0, 0, 182, 0, 150, 372, 0, 0, 724, 0, -240, 32, 0, -110, -8, 0, 174, 0, 0, -214, 204, 0, -616, 0, 0, 0, -16, 0, -196, 400, 0, 0, 16, 0, -220, -232, 0, 532, 144, 0, 64, 0, 0, 112, 54, 0, -182, 0, 0, 0, -528, 0, -328, 256, 0, 0, -284, 0, -52, -56, 0, 364, -304, 0, -652, 0, 0, -14, -24, 0, 164, 0, 0, 0, -98, 0, -310, -36, 0, 0, -192, 0, -50, -36, 0, 552, 60, 0, -240, 0, 0, 60, -656, 0, 444, 0, 0, 0, 270, 0, 12, 448, 0, 0, -350, 0, 492, 240, 0, 254, -158, 0, 220, 0, 0, 416, -140, 0, 356, 0, 0, 0, 784, 0, -110, -12, 0, 0, -180, 0, 72, -112, 0, -122, 672, 0, 12, 0, 0, 32, -8, 0, 22, 0, 0, 0, 178, 0, 652, -420, 0, 0, -120, 0, -208, -112, 0, 428, 84, 0, 322, 0, 0, 292, -176, 0, -52, 0, 0, 0, -28, 0, 152, -356, 0, 0, 440, 0, -284, -72, 0, 62, -302, 0, -76, 0, 0, 66, 274, 0, -692, 0, 0, 0, -136, 0, -198, -1032, 0, 0, 262, 0, -220, 32, 0, -440, 64, 0, 68, 0, 0, 228, -360, 0, -66, 0, 0, 0, -788], '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: 16858241
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 107, 'source_dim': 56, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566056, 'source_is_minimal': True, 'source_label': '168.2.v.a.107.16', 'source_level': 168, 'target_conrey_index': 107, 'target_dim': 56, 'target_embedding_index': 16, 'target_hecke_orbit_code': 1443142566056, 'target_is_minimal': True, 'target_label': '168.2.v.a.107.16', 'target_level': 168, 'twist_class_label': '168.2.v.a.11.4', 'twist_class_level': 168, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 16858242
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 107, 'source_dim': 56, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566056, 'source_is_minimal': True, 'source_label': '168.2.v.a.107.16', 'source_level': 168, 'target_conrey_index': 107, 'target_dim': 56, 'target_embedding_index': 13, 'target_hecke_orbit_code': 1443142566056, 'target_is_minimal': True, 'target_label': '168.2.v.a.107.13', 'target_level': 168, 'twist_class_label': '168.2.v.a.11.4', 'twist_class_level': 168, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 16858243
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 107, 'source_dim': 56, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566056, 'source_is_minimal': True, 'source_label': '168.2.v.a.107.16', 'source_level': 168, 'target_conrey_index': 527, 'target_dim': 56, 'target_embedding_index': 25, 'target_hecke_orbit_code': 1992898380448, 'target_is_minimal': False, 'target_label': '672.2.bd.a.527.25', 'target_level': 672, 'twist_class_label': '168.2.v.a.11.4', 'twist_class_level': 168, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 16858244
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 107, 'source_dim': 56, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566056, 'source_is_minimal': True, 'source_label': '168.2.v.a.107.16', 'source_level': 168, 'target_conrey_index': 11, 'target_dim': 56, 'target_embedding_index': 4, 'target_hecke_orbit_code': 1443142566056, 'target_is_minimal': True, 'target_label': '168.2.v.a.11.4', 'target_level': 168, 'twist_class_label': '168.2.v.a.11.4', 'twist_class_level': 168, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 16858245
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 107, 'source_dim': 56, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566056, 'source_is_minimal': True, 'source_label': '168.2.v.a.107.16', 'source_level': 168, 'target_conrey_index': 107, 'target_dim': 56, 'target_embedding_index': 25, 'target_hecke_orbit_code': 1443142566056, 'target_is_minimal': True, 'target_label': '168.2.v.a.107.25', 'target_level': 168, 'twist_class_label': '168.2.v.a.11.4', 'twist_class_level': 168, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 16858246
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 107, 'source_dim': 56, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566056, 'source_is_minimal': True, 'source_label': '168.2.v.a.107.16', 'source_level': 168, 'target_conrey_index': 527, 'target_dim': 56, 'target_embedding_index': 26, 'target_hecke_orbit_code': 1992898380448, 'target_is_minimal': False, 'target_label': '672.2.bd.a.527.26', 'target_level': 672, 'twist_class_label': '168.2.v.a.11.4', 'twist_class_level': 168, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 16858247
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 107, 'source_dim': 56, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566056, 'source_is_minimal': True, 'source_label': '168.2.v.a.107.16', 'source_level': 168, 'target_conrey_index': 527, 'target_dim': 56, 'target_embedding_index': 6, 'target_hecke_orbit_code': 1992898380448, 'target_is_minimal': False, 'target_label': '672.2.bd.a.527.6', 'target_level': 672, 'twist_class_label': '168.2.v.a.11.4', 'twist_class_level': 168, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 16858248
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 107, 'source_dim': 56, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566056, 'source_is_minimal': True, 'source_label': '168.2.v.a.107.16', 'source_level': 168, 'target_conrey_index': 11, 'target_dim': 56, 'target_embedding_index': 25, 'target_hecke_orbit_code': 1443142566056, 'target_is_minimal': True, 'target_label': '168.2.v.a.11.25', 'target_level': 168, 'twist_class_label': '168.2.v.a.11.4', 'twist_class_level': 168, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 16858249
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 107, 'source_dim': 56, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566056, 'source_is_minimal': True, 'source_label': '168.2.v.a.107.16', 'source_level': 168, 'target_conrey_index': 527, 'target_dim': 56, 'target_embedding_index': 5, 'target_hecke_orbit_code': 1992898380448, 'target_is_minimal': False, 'target_label': '672.2.bd.a.527.5', 'target_level': 672, 'twist_class_label': '168.2.v.a.11.4', 'twist_class_level': 168, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 16858250
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 107, 'source_dim': 56, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566056, 'source_is_minimal': True, 'source_label': '168.2.v.a.107.16', 'source_level': 168, 'target_conrey_index': 107, 'target_dim': 56, 'target_embedding_index': 4, 'target_hecke_orbit_code': 1443142566056, 'target_is_minimal': True, 'target_label': '168.2.v.a.107.4', 'target_level': 168, 'twist_class_label': '168.2.v.a.11.4', 'twist_class_level': 168, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 16858251
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 107, 'source_dim': 56, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566056, 'source_is_minimal': True, 'source_label': '168.2.v.a.107.16', 'source_level': 168, 'target_conrey_index': 431, 'target_dim': 56, 'target_embedding_index': 5, 'target_hecke_orbit_code': 1992898380448, 'target_is_minimal': False, 'target_label': '672.2.bd.a.431.5', 'target_level': 672, 'twist_class_label': '168.2.v.a.11.4', 'twist_class_level': 168, 'twisting_char_label': '28.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 16858252
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 107, 'source_dim': 56, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566056, 'source_is_minimal': True, 'source_label': '168.2.v.a.107.16', 'source_level': 168, 'target_conrey_index': 11, 'target_dim': 56, 'target_embedding_index': 13, 'target_hecke_orbit_code': 1443142566056, 'target_is_minimal': True, 'target_label': '168.2.v.a.11.13', 'target_level': 168, 'twist_class_label': '168.2.v.a.11.4', 'twist_class_level': 168, 'twisting_char_label': '56.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 16858253
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 107, 'source_dim': 56, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566056, 'source_is_minimal': True, 'source_label': '168.2.v.a.107.16', 'source_level': 168, 'target_conrey_index': 431, 'target_dim': 56, 'target_embedding_index': 6, 'target_hecke_orbit_code': 1992898380448, 'target_is_minimal': False, 'target_label': '672.2.bd.a.431.6', 'target_level': 672, 'twist_class_label': '168.2.v.a.11.4', 'twist_class_level': 168, 'twisting_char_label': '56.53', 'twisting_conrey_index': 53, 'weight': 2}
  • id: 16858254
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 107, 'source_dim': 56, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566056, 'source_is_minimal': True, 'source_label': '168.2.v.a.107.16', 'source_level': 168, 'target_conrey_index': 431, 'target_dim': 56, 'target_embedding_index': 26, 'target_hecke_orbit_code': 1992898380448, 'target_is_minimal': False, 'target_label': '672.2.bd.a.431.26', 'target_level': 672, 'twist_class_label': '168.2.v.a.11.4', 'twist_class_level': 168, 'twisting_char_label': '84.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 16858255
    {'conductor': 168, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 107, 'source_dim': 56, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566056, 'source_is_minimal': True, 'source_label': '168.2.v.a.107.16', 'source_level': 168, 'target_conrey_index': 11, 'target_dim': 56, 'target_embedding_index': 16, 'target_hecke_orbit_code': 1443142566056, 'target_is_minimal': True, 'target_label': '168.2.v.a.11.16', 'target_level': 168, 'twist_class_label': '168.2.v.a.11.4', 'twist_class_level': 168, 'twisting_char_label': '168.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 16858256
    {'conductor': 168, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 107, 'source_dim': 56, 'source_embedding_index': 16, 'source_hecke_orbit_code': 1443142566056, 'source_is_minimal': True, 'source_label': '168.2.v.a.107.16', 'source_level': 168, 'target_conrey_index': 431, 'target_dim': 56, 'target_embedding_index': 25, 'target_hecke_orbit_code': 1992898380448, 'target_is_minimal': False, 'target_label': '672.2.bd.a.431.25', 'target_level': 672, 'twist_class_label': '168.2.v.a.11.4', 'twist_class_level': 168, 'twisting_char_label': '168.53', 'twisting_conrey_index': 53, 'weight': 2}
• hecke_orbit_code 1443142566056 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 22, 'hecke_orbit': 1, 'label': '168.2.v.a', 'level': 168, '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: 13029324
    {'hecke_orbit_code': 1443142566056, 'n': 1, 'trace_an': 56}
  • id: 13029325
    {'hecke_orbit_code': 1443142566056, 'n': 2, 'trace_an': 0}
  • id: 13029326
    {'hecke_orbit_code': 1443142566056, 'n': 3, 'trace_an': -2}
  • id: 13029327
    {'hecke_orbit_code': 1443142566056, 'n': 4, 'trace_an': -2}
  • id: 13029328
    {'hecke_orbit_code': 1443142566056, 'n': 5, 'trace_an': 0}
  • id: 13029329
    {'hecke_orbit_code': 1443142566056, 'n': 6, 'trace_an': -8}
  • id: 13029330
    {'hecke_orbit_code': 1443142566056, 'n': 7, 'trace_an': 0}
  • id: 13029331
    {'hecke_orbit_code': 1443142566056, 'n': 8, 'trace_an': 0}
  • id: 13029332
    {'hecke_orbit_code': 1443142566056, 'n': 9, 'trace_an': -2}
  • id: 13029333
    {'hecke_orbit_code': 1443142566056, 'n': 10, 'trace_an': 6}
  • id: 13029334
    {'hecke_orbit_code': 1443142566056, 'n': 11, 'trace_an': 0}
  • id: 13029335
    {'hecke_orbit_code': 1443142566056, 'n': 12, 'trace_an': 10}
  • id: 13029336
    {'hecke_orbit_code': 1443142566056, 'n': 13, 'trace_an': 0}
  • id: 13029337
    {'hecke_orbit_code': 1443142566056, 'n': 14, 'trace_an': 0}
  • id: 13029338
    {'hecke_orbit_code': 1443142566056, 'n': 15, 'trace_an': 0}
  • id: 13029339
    {'hecke_orbit_code': 1443142566056, 'n': 16, 'trace_an': -10}
  • id: 13029340
    {'hecke_orbit_code': 1443142566056, 'n': 17, 'trace_an': 0}
  • id: 13029341
    {'hecke_orbit_code': 1443142566056, 'n': 18, 'trace_an': -10}
  • id: 13029342
    {'hecke_orbit_code': 1443142566056, 'n': 19, 'trace_an': -4}
  • id: 13029343
    {'hecke_orbit_code': 1443142566056, 'n': 20, 'trace_an': 0}
  • id: 13029344
    {'hecke_orbit_code': 1443142566056, 'n': 21, 'trace_an': 0}
  • id: 13029345
    {'hecke_orbit_code': 1443142566056, 'n': 22, 'trace_an': -20}
  • id: 13029346
    {'hecke_orbit_code': 1443142566056, 'n': 23, 'trace_an': 0}
  • id: 13029347
    {'hecke_orbit_code': 1443142566056, 'n': 24, 'trace_an': -8}
  • id: 13029348
    {'hecke_orbit_code': 1443142566056, 'n': 25, 'trace_an': -16}
  • id: 13029349
    {'hecke_orbit_code': 1443142566056, 'n': 26, 'trace_an': 0}
  • id: 13029350
    {'hecke_orbit_code': 1443142566056, 'n': 27, 'trace_an': -8}
  • id: 13029351
    {'hecke_orbit_code': 1443142566056, 'n': 28, 'trace_an': -22}
  • id: 13029352
    {'hecke_orbit_code': 1443142566056, 'n': 29, 'trace_an': 0}
  • id: 13029353
    {'hecke_orbit_code': 1443142566056, 'n': 30, 'trace_an': -12}
  • id: 13029354
    {'hecke_orbit_code': 1443142566056, 'n': 31, 'trace_an': 0}
  • id: 13029355
    {'hecke_orbit_code': 1443142566056, 'n': 32, 'trace_an': 0}
  • id: 13029356
    {'hecke_orbit_code': 1443142566056, 'n': 33, 'trace_an': -14}
  • id: 13029357
    {'hecke_orbit_code': 1443142566056, 'n': 34, 'trace_an': -56}
  • id: 13029358
    {'hecke_orbit_code': 1443142566056, 'n': 35, 'trace_an': 0}
  • id: 13029359
    {'hecke_orbit_code': 1443142566056, 'n': 36, 'trace_an': 4}
  • id: 13029360
    {'hecke_orbit_code': 1443142566056, 'n': 37, 'trace_an': 0}
  • id: 13029361
    {'hecke_orbit_code': 1443142566056, 'n': 38, 'trace_an': 0}
  • id: 13029362
    {'hecke_orbit_code': 1443142566056, 'n': 39, 'trace_an': 0}
  • id: 13029363
    {'hecke_orbit_code': 1443142566056, 'n': 40, 'trace_an': 14}
  • id: 13029364
    {'hecke_orbit_code': 1443142566056, 'n': 41, 'trace_an': 0}
  • id: 13029365
    {'hecke_orbit_code': 1443142566056, 'n': 42, 'trace_an': -8}
  • id: 13029366
    {'hecke_orbit_code': 1443142566056, 'n': 43, 'trace_an': -16}
  • id: 13029367
    {'hecke_orbit_code': 1443142566056, 'n': 44, 'trace_an': 0}
  • id: 13029368
    {'hecke_orbit_code': 1443142566056, 'n': 45, 'trace_an': 0}
  • id: 13029369
    {'hecke_orbit_code': 1443142566056, 'n': 46, 'trace_an': -12}
  • id: 13029370
    {'hecke_orbit_code': 1443142566056, 'n': 47, 'trace_an': 0}
  • id: 13029371
    {'hecke_orbit_code': 1443142566056, 'n': 48, 'trace_an': 64}
  • id: 13029372
    {'hecke_orbit_code': 1443142566056, 'n': 49, 'trace_an': -16}
  • id: 13029373
    {'hecke_orbit_code': 1443142566056, 'n': 50, 'trace_an': 0}
  • id: 13029374
    {'hecke_orbit_code': 1443142566056, 'n': 51, 'trace_an': -34}
  • id: 13029375
    {'hecke_orbit_code': 1443142566056, 'n': 52, 'trace_an': -8}
  • id: 13029376
    {'hecke_orbit_code': 1443142566056, 'n': 53, 'trace_an': 0}
  • id: 13029377
    {'hecke_orbit_code': 1443142566056, 'n': 54, 'trace_an': 32}
  • id: 13029378
    {'hecke_orbit_code': 1443142566056, 'n': 55, 'trace_an': 0}
  • id: 13029379
    {'hecke_orbit_code': 1443142566056, 'n': 56, 'trace_an': 0}
  • id: 13029380
    {'hecke_orbit_code': 1443142566056, 'n': 57, 'trace_an': 4}
  • id: 13029381
    {'hecke_orbit_code': 1443142566056, 'n': 58, 'trace_an': -18}
  • id: 13029382
    {'hecke_orbit_code': 1443142566056, 'n': 59, 'trace_an': 0}
  • id: 13029383
    {'hecke_orbit_code': 1443142566056, 'n': 60, 'trace_an': 40}
  • id: 13029384
    {'hecke_orbit_code': 1443142566056, 'n': 61, 'trace_an': 0}
  • id: 13029385
    {'hecke_orbit_code': 1443142566056, 'n': 62, 'trace_an': 0}
  • id: 13029386
    {'hecke_orbit_code': 1443142566056, 'n': 63, 'trace_an': 0}
  • id: 13029387
    {'hecke_orbit_code': 1443142566056, 'n': 64, 'trace_an': 4}
  • id: 13029388
    {'hecke_orbit_code': 1443142566056, 'n': 65, 'trace_an': 0}
  • id: 13029389
    {'hecke_orbit_code': 1443142566056, 'n': 66, 'trace_an': -20}
  • id: 13029390
    {'hecke_orbit_code': 1443142566056, 'n': 67, 'trace_an': -36}
  • id: 13029391
    {'hecke_orbit_code': 1443142566056, 'n': 68, 'trace_an': 0}
  • id: 13029392
    {'hecke_orbit_code': 1443142566056, 'n': 69, 'trace_an': 0}
  • id: 13029393
    {'hecke_orbit_code': 1443142566056, 'n': 70, 'trace_an': -42}
  • id: 13029394
    {'hecke_orbit_code': 1443142566056, 'n': 71, 'trace_an': 0}
  • id: 13029395
    {'hecke_orbit_code': 1443142566056, 'n': 72, 'trace_an': 22}
  • id: 13029396
    {'hecke_orbit_code': 1443142566056, 'n': 73, 'trace_an': 4}
  • id: 13029397
    {'hecke_orbit_code': 1443142566056, 'n': 74, 'trace_an': 0}
  • id: 13029398
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  • id: 13029399
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  • id: 13029400
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  • id: 13029401
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  • id: 13029402
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  • id: 13029403
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  • id: 13029404
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  • id: 13029405
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  • id: 13029406
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  • id: 13029407
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  • id: 13029408
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  • id: 13029409
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  • id: 13029410
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  • id: 13029411
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  • id: 13029412
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  • id: 13029413
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  • id: 13029414
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  • id: 13029415
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  • id: 13029416
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  • id: 13029417
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  • id: 13029418
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  • id: 13029419
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  • id: 13029420
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  • id: 13029421
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  • id: 13029422
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  • id: 13029423
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  • id: 13029424
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  • id: 13029425
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  • id: 13029426
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  • id: 13029427
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  • id: 13029428
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  • id: 13029429
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  • id: 13029430
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  • id: 13029431
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  • id: 13029432
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  • id: 13029433
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  • id: 13029434
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  • id: 13029435
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  • id: 13029436
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  • id: 13029437
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  • id: 13029438
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  • id: 13029439
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  • id: 13029440
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  • id: 13029441
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  • id: 13029445
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  • id: 13029446
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  • id: 13029447
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  • id: 13029448
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  • id: 13029449
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  • id: 13029450
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  • id: 13029455
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  • id: 13029456
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  • id: 13029458
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  • id: 13029460
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  • id: 13029461
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  • id: 13029462
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  • id: 13029463
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  • id: 13029464
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  • id: 13029465
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  • id: 13029466
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  • id: 13029467
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  • id: 13029468
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  • id: 13029469
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  • id: 13029470
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  • id: 13029471
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  • id: 13029472
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  • id: 13029473
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  • id: 13029475
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  • id: 13029476
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  • id: 13029477
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  • id: 13029478
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  • id: 13029479
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  • id: 13029480
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  • id: 13029481
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  • id: 13029482
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  • id: 13029483
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  • id: 13029484
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  • id: 13029485
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  • id: 13029486
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  • id: 13029487
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  • id: 13029488
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  • id: 13029489
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  • id: 13029490
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  • id: 13029491
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  • id: 13029492
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  • id: 13029493
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  • id: 13029494
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  • id: 13029495
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  • id: 13029496
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  • id: 13029497
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  • id: 13029498
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  • id: 13029499
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  • id: 13029500
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  • id: 13029501
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  • id: 13029502
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  • id: 13029503
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  • id: 13029504
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  • id: 13029505
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  • id: 13029506
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  • id: 13029507
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  • id: 13029508
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  • id: 13029509
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  • id: 13029510
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  • id: 13029511
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  • id: 13029512
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  • id: 13029513
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  • id: 13029514
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  • id: 13029515
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  • id: 13029516
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  • id: 13029517
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  • id: 13029518
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  • id: 13029519
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  • id: 13029520
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  • id: 13029521
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  • id: 13029522
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  • id: 13029523
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  • id: 13029524
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  • id: 13029525
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  • id: 13029526
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  • id: 13029527
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  • id: 13029528
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  • id: 13029529
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  • id: 13029530
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  • id: 13029531
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  • id: 13029532
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  • id: 13029533
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  • id: 13029534
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  • id: 13029535
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  • id: 13029536
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  • id: 13029537
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  • id: 13029538
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  • id: 13029539
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  • id: 13029540
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  • id: 13029541
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  • id: 13029542
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  • id: 13029543
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  • id: 13029544
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  • id: 13029545
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  • id: 13029546
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  • id: 13029547
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  • id: 13029548
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  • id: 13029549
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  • id: 13029550
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  • id: 13029551
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  • id: 13029552
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  • id: 13029556
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  • id: 13029558
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  • id: 13029560
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  • id: 13029562
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  • id: 13029564
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  • id: 13029565
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  • id: 13029566
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  • id: 13029567
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  • id: 13029568
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  • id: 13029570
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  • id: 13029576
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