Embedded newform data - 840.2.dj.a.163.3

Formats: - HTML - YAML - JSON - 2025-10-01T20:31:56.993120

• 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': 3360, 'analytic_conductor': 6.707433769787552, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 280, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 88, 'char_orbit_label': 'dj', 'char_order': 12, 'char_parity': 1, 'char_values': [840, 12, [631, 421, 281, 337, 241], [6, 6, 12, 3, 8]], 'cm_discs': [], 'conrey_index': 67, 'dim': 384, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 5978628031304, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 3, -1, 4, 0], [1, 1, 7, 3, 1, 3, 0], [1, 1, 8, 4, -1, 2, 0], [1, 1, 35, 12, -1, 12, 0], [1, 1, 40, 11, 1, 4, 0], [1, 1, 56, 11, -1, 6, 0], [1, 1, 280, 44, 1, 12, 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': '840.2.dj.a', 'level': 840, '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.dj.a', 'prim_orbit_index': 44, 'related_objects': [], 'relative_dim': 96, 'rm_discs': [], 'sato_tate_group': '1.2.3.c12', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '840.2.dj', 'trace_display': [0, 0, 0, 0], 'traces': [384, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 44, 0, 0, 0, 0, 0, 0, 48, 0, 0, 12, 0, 20, 0, -20, 0, 0, 0, -48, 0, -32, 0, -72, 0, 4, 0, 0, 0, 32, 0, 8, 0, 20, 0, -144, 0, 0, 0, -24, 48, 44, 0, -40, 0, 12, 0, 0, 0, 96, 0, -48, 0, 36, 192, -44, 0, 0, 0, 32, 0, 68, 0, 24, -64, -72, 0, 0, 0, 0, 32, -80, 0, 20, 0, 32, 0, 0, 32, -48, 0, 0, 0, -60, 0, -64, 0, 0, -64, 48, 0, 96, 0, -64, -192, -156, 0, 0, 0, -16, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, -32, 0, -104, 0, -84, 0, 0, -32, -256, -64, -248, 0, -40, 0, -188, 0, 0, 0, 40, 0, -100, 0, 8, -32, 0, 80, 0, 0, -96, 0, -44, 0, -8, 0, 60, 0, 0, 0, -16, 16, -132, 0, -24, 0, 32, 0, 0, 0, 64, 0, 112, 0, 304, 0, 48, 0, 0, 0, -192, 0, 0, 0, -132, 0, 216, 144, 0, 0, -296, 0, -168, 0, 48, -384, -8, 0, 0, 0, 0, -32, 312, 0, -168, 0, 20, 0, 0, 0, -136, 96, -56, 0, -128, 0, 104, 0, 0, -96, -248, 0, 212, 0, 0, -32, 12, 0, 0, 0, 48, 0, -76, 0, 164, -256, 40, 0, 0, 0, 16, 0, 72, 0, 400, 0, -12, 0, 0, 32, -48, -192, 12, 0, 16, 0, 496, 0, 0, -176, 56, 0, 132, 0, 296, -64, 96, -48, 0, 0, 272, 0, 0, 0, 56, -96, 204, 0, 0, 0, 0, 0, 120, 0, 64, 0, -40, 0, 0, 0, 16, -608, 372, 0, 44, 0, -44, 96, 0, 0, 192, 0, 112, 0, 152, 0, -320, 0, 0, 0, -56, 0, 32, 0, -128, 0, 276, 0, 0, 0, 160, 64, 100, 0, 140, 0, 24, 0, 0, 32, -8, 0, 104, 0, -404, 0, 180, -192, 0, 48, 800, 0, -320, 0, 32, 192, -308, 0, 0, 0, 120, 0, 128, 0, -24, 0, -160, 0, 0, 0, 288, 0, -20, 0, 196, 0, 40, 0, 0, -32, -320, 0, 164, 0, -128, 0, -68, 160, 0, 224, -32, 0, 216, 0, -704, 0, 72, -128, 0, 0, -304, 0, -16, 0, -188, 0, -264, 0, 0, 0, 368, 32, -348, 0, -52, 0, -60, 0, 0, 0, 80, 224, -616, 0, -244, 0, -16, -320, 0, -128, 160, 0, -100, 0, 216, 0, 408, -240, 0, 0, -304, 0, -276, 0, 12, -192, -136, 0, 0, 0, -240, -16, -24, 0, -332, 0, 256, 0, 0, 0, -16, 352, -8, 0, 808, 0, -124, -96, 0, 0, 40, 0, -112, 0, -112, 0, 520, -160, 0, 0, 0, 0, -264, 0, 376, 0, -148, 0, 0, 0, 96, -192, 256, 0, -16, 0, 320, 0, 0, 448, 40, 0, -392, 0, 120, 0, -48, 0, 0, 272, -56, 0, 636, 0, -36, -32, -8, 144, 0, 0, 464, 0, -196, 0, 288, 128, 484, 0, 0, 0, -136, -32, 136, 0, 48, 0, 380, 0, 0, -768, 312, 448, -260, 0, 248, 0, -128, -208, 0, 96, -200, 0, 72, 0, 688, 0, 216, 256, 0, 0, 400, 0, 800, 0, 208, 224, 356, 0, 0, 0, -72, -192, 156, 0, -16, 0, -272, 0, 0, 0, 272, 896, 32, 0, 320, 0, -40, 32, 0, 464, 64, 0, 420, 0, 168, -128, -36, -96, 0, 0, -24, 0, -192, 0, -600, 0, -44, 0, 0, 0, 400, -384, -52, 0, 80, 0, 24, 0, 0, -48, 312, 176, 416, 0, -28, 0, -100, 0, 0, 0, -112, 0, -968, 0, 376, 160, -80, 160, 0, 0, 344, 0, 12, 0, 136, -160, -688, 0, 0, 0, 472, 0, -584, 0, -64, 0, -128, 0, 0, -192, -96, 0, 140, 0, -504, 0, -344, -160, 0, 0, -120, 0, -192, 0, -952, 0, -88, 432, 0, 0, -384, 0, 40, 0, -148, -128, -592, 0, 0, 0, -160, 32, -488, 0, -352, 0, -24, 0, 0, 0, -288, 48, -112, 0, -176, 0, -224, -128, 0, 256, -96, 0, -172, 0, -200, 160, 400, 128, 0, 0, -144, 0, -932, 0, -144, 384, 0, 0, 0, 0, -672, 0, -44, 0, -516, 0, 372, 0, 0, 0, -376, 0, -416, 0, 96, 0, -520, 0, 0, -352, -48, 0, -304, 0, -428, 160, -168, 624, 0, 0, -40, 0, -192, 0, 964, -512, -280, 0, 0, 0, -720, 0, 744, 0, -280, 0, 396, 0, 0, -384, -160, 288, -172, 0, 648, 0, 136, -128, 0, 0, -216, 0, -16, 0, -384, 0, 112, 0, 0, 0, -160, 0, -552, 0, 0, -1600, -72, 0, 0, 0, -64, 0, 16, 0, 712, 0, -104, 0, 0, 32, 656, 0, 36, 0, 176, 0, -160, 224, 0, -448, -456, 0, 648, 0, -24, 384, -268, 0, 0, 0, -48, 0, 1120, 0, 520, -192, 124, 0, 0, 0, -336, -192, 192, 0, 40, 0, -704, 0, 0, -32, 336, -448, 428, 0, -84, 0, 268, -16, 0, -128, 528, 0, 148, 0, 696, 512, -124, 256, 0, 0, 344, 0, 280, 0, -1160, 0, 84, 0, 0, 0, -32, 0, 112, 0, 64, 0, -552, 0, 0, 0, -96, -448, 676, 0, -532, 0, 232, 112, 0, 176, -96, 0, -64, 0, 164, 0, -436, -480, 0, 0, -216, 0, 252, 0, -304, 160, -448, 0, 0, 0, 16, -736, -1076, 0, -40, 0, 0, 0, 0, 0, -1136, -176, 328, 0, -696, 0, -816, -256, 0, 208, 256, 0, -304, 0, -80, 448, -640, 0, 0, 0, -488, 0, 644, 0, -272, 960, 0, 0, 0, 0, 200, 96, -240, 0, -1172, 0, -252, 0, 0, -96, -128, 208, -1064, 0, -156, 0, -360, 0, 0, 448, 344, 0, -344, 0, -648], '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], [-0.9983499622395074, 0.05742258176339768], [-0.14942924536134225, 0.5576775358252053], [0.9934052942072518, -0.1146556646703662], [0.755971386474091, -0.6546046614808365], [0.11715939756544114, -0.5653379598925197], [0.8278907836992195, 0.5608893386987241], [-0.9851823136811658, 0.17151037522501378], [-0.28867513459481287, -0.16666666666666666], [-0.7171349154439722, 0.6969343678217963], [-0.8398595291838628, -1.4546793757673266], [-0.08450291490958095, 0.5711327259973092], [1.1731876984992067, -1.1731876984992067], [-0.8587324465561975, -0.5124242238922817], [0.2520940807587345, 0.5194053405383333], [0.9737081571179931, -0.22779908858878628], [0.08669044562673121, 0.023228634897176782], [0.29776924001611577, 0.14981518885392076], [-0.8914119527984844, -0.514656930907055], [0.675931845034153, -0.7369641381157741], [-0.436506479325918, 0.3778828215728061], [0.9220051746417275, 1.4040521973835716], [-0.2860984673407952, -1.0677340160834328], [0.05156756625277576, -0.5750427109738014], [0.14298547433511888, -0.9897247870641419], [-1.1038844279556546, 1.2386193610374208], [0.13608276348795434, -0.13608276348795434], [0.8867402274872198, 0.4622680704482126], [0.400168206237099, 0.0], [-0.2815037116416938, -0.5040724091490065], [-1.3596277399301386, 0.7849814416463481], [-0.9590206901009317, 0.2833360477566042], [0.9367415853491473, -0.2509991513109536], [-0.08788125130460843, -0.01821231757036539], [0.9930225192893093, -0.1179248751719215], [-0.30588068445753913, -0.13246930960376627], [-0.24464411047601164, 0.06555219183507768], [0.9194940191113221, 0.4626205517929181], [0.4789518723055351, 0.8295689772134278], [-0.6324981484886824, 0.774561871097712], [-1.0122938477094743, 0.0], [0.4140872199335827, -0.4023246296475149], [-0.7331372169433783, -0.7331372169433783], [-1.0011081333925353, -1.3487915407130457], [-0.3273309186537083, 0.06297285768035724], [0.3469384379065757, 1.049543702005473], [0.1828707528392755, -0.04900007054255531], [-0.018462040732903008, 0.577055011576288], [0.3708062994682158, 0.9287102283676475], [-0.08591699039481196, 0.9963022988839771], [-0.025908175740081835, 0.04487427671324514], [1.0309382554334094, -1.2999634861424567], [0.23773978018126793, 0.06370218210832337], [-0.12804399817667086, 0.1436724454026232], [-1.5871496730579273, -0.5499200217812339], [-0.9118216987000387, -0.4105863974607243], [0.4202156244363673, -0.4202156244363673], [-0.3995079135862592, 0.022978691541762002], [-0.3791396082105462, 0.21889635486080808], [0.3099843590167979, 0.48707600074144314], [1.2483420422764835, 0.7207306141490549], [1.3123086418033536, -0.8617595276902676], [-0.14550992696438997, -0.299896602624853], [0.9411683823803499, -0.3379379765690079], [0.11892219479923824, -1.654870467258348], [-0.9207829070728009, 0.3043751135093251], [1.7045631935215495, 0.45673633115191475], [0.08878204221630175, 0.013135898220159628], [0.6382027530799305, 0.0], [-0.9846124438489644, 0.17475221148177197], [0.0, -1.2892918808345843], [0.312982699539842, 0.11468627162770659], [0.2223827693780298, -0.8299437940466795], [0.2404762623604244, -0.07949212468000923], [0.5305810688675263, 0.2276336150324171], [-0.9445416857199984, -0.4090574899203049], [0.12060218927952299, -1.675383904358862], [-0.5257975760531886, -0.8006975040278955], [-0.07370454614630773, 0.12766001867420987], [0.5869771602863157, -0.8096034914093521], [0.05555555555555555, 0.09622504486493763], [1.0106235246360393, -0.05812852623868173], [0.7468372169030976, 0.7468372169030976], [-0.3903014414431918, 0.4254387360604345], [0.08074106905802514, -0.039187786483990066], [0.7740261446355202, 0.6898288810680783], [-0.05979683307561168, 0.2231648191698979], [1.0769073596984755, 1.289079770096101], [0.34270022055437344, 0.19785806458841163], [0.3231747462087278, -0.08166513652737915], [1.6292997555174902, -0.31324281075609367], [-0.40663348542613187, -1.027889814448321], [-0.23459836889574462, -0.8755330320917051], [-0.17975529863465886, 0.059420129332940684], [-1.0107787559118262, 0.19445650598531652], [-0.01470441091565983, -0.57716298706081], [0.5396793899250519, -0.5396793899250519], [-0.42352339409520967, -0.9058851663726886], [0.0, 0.5599063527892418], [0.028564973897666386, -0.9995919378757642], [1.2138378577514715, -0.7008096139253707], [0.023288629448165572, -0.046287946801968814], [0.2349807193713775, 0.8769599834930651], [-0.9545899088107611, 1.3570176335686996], [-0.08262255188584831, 0.5714077766824701], [-0.24100544432741966, -0.049945439136547816], [0.19372171794093448, 0.7229792938850947], [0.11958267800139549, -0.1507879973971788], [-0.24082333424588093, -0.41711825056200774], [1.6161086435798906, 0.45787440110812516], [0.0, -0.14622793924210906], [0.9338940894454745, 0.3575497583537263], [0.1834509572693618, 0.1834509572693618], [-0.3953923867360438, 0.44365211884095285], [-0.9152259191736029, -0.6198949741603346], [0.39752921464935354, -0.04588155166606277], [-0.5342013998524383, 0.14313883368603614], [0.36594441970579594, -0.24030634276186622], [0.05874152730279749, 0.0678545194683617], [-0.33744203459682237, -0.46847220474697354], [-0.9107280575218792, 1.5774272675064058], [-1.2876684433890748, -0.6478583584292578], [0.15126630574715627, -0.5645335385216352], [-1.260658826051776, 0.935693742211881], [-0.5397855319165402, -0.8418025775284712], [0.162490667275163, 0.2910462062277799], [1.264705166903592, 1.264705166903592], [-0.9202101479199497, 0.391424684537325], [0.5184062976408959, -0.29930201549256846], [-0.02369903397328424, 1.6589686879529897], [0.10248308113442313, -0.17750590344102438], [0.901785575664682, -0.35674661484640746], [-0.4493261545680159, -0.926063190578157], [-1.7279775792069783, -0.3581022796080558], [0.01379426406280556, -0.19195508671562372], [-0.08938984568377399, -0.008016129413791366], [-0.3572807708634438, -0.09573309402402876], [-0.6371496944384982, 0.036647249770357805], [0.0, 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[0.1784872583448259, 0.30914899995691053], [-1.6706918629821503, -0.17391036199430585], [-0.13553386611220777, 0.0], [-0.028720188267628136, 0.332093754679282], [1.363597451768627, 1.363597451768627], [0.11956887397643136, -0.08874712557517356], [-0.20927478675014227, -0.14174466195409582], [1.350247229745902, -0.4463393604102458], [0.5986283881866353, -0.16040199318095358], [0.02507960872779464, 0.14406117950736994], [0.33767810706285173, 1.7563973964896824], [-0.38365637885226, 0.09694863514593384], [0.09331772546487364, -0.16163104175192516], [0.03891540911768661, -0.0490704565813403], [-0.18823140081784828, -0.05043645183932142], [0.6621317520397325, 0.5901061725044141], [0.031319492238895325, -0.09039263874461705], [-0.9813794329899188, -0.19207917248984993], [0.7487316190617012, -0.7487316190617012], [-0.011958681354469024, -0.20791383306068242], [-0.5440797938380445, 0.3141246154330311], [-0.17484465399723353, 0.28379650822323166], [0.019130052756767525, 0.011044741108731474], [-0.9333401658461201, -1.421313401274358], [0.597059105569354, 0.04297918529215758], [-0.21219638104631075, -0.14926889601299834], [-0.9395919008039132, -1.085089419259131], [0.2033321046187456, 0.6151118080366431], [-0.08415637250604437, -0.02254963205092733], [1.4552506278061026, 0.2153140844081008], [-0.4672064092835804, 0.0], [-0.9501180621168992, 1.3601523517087926], [0.0, 1.2712788978020924], [0.3134426450047497, -0.504892117519494], [0.45917034311918353, -1.7136470498496275], [-0.5455678599083121, -1.6504291505963469], [-0.059651690458320535, 0.8300874452255196], [-0.12519126486255383, 0.2890751820086054], [0.184405967152444, -0.08947383390573337], [-0.014437506040806056, 0.009480741031814958], [0.9037216410216038, -1.5652917981489398], [1.007982808210761, 0.4537388240694822], [-0.48263137049580956, -0.8359420550253409], [0.042328949499233146, 0.7359318204869402], [-1.5125813743700396, -1.5125813743700396], [0.9466753398498953, 0.21045468063537584], [0.02989807492585429, 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-1.7196189097290944], [-0.059651878566790814, 0.023598299110346964], [0.9331172602960806, -1.3773112209657123], [0.16587048954397493, -0.8003872170201802], [0.889528139972878, -0.35541422613100637], [1.3797026064591376, 0.41741009860394857], [0.6472256805768204, 0.1734235984312428], [0.006945172275973185, 0.12074888078063381], [0.0, -0.6646919238818148], [0.9350659191581048, 0.3544738732671403], [0.0, 0.16054888949725396], [-0.9064636996213716, 0.052137514775177446], [1.0235151772106685, 0.2742500651745961], [-0.05220153005903561, 0.5821121984889566], [0.892291196977628, 0.06412177245535026], [-0.03516728269643687, -0.007287990453553519], [-0.061307983579664944, 0.09049256434530112], [-1.5880259015598708, 0.628223471252941], [-0.5730461108691876, 0.9925449791051807], [-0.3902179800205779, -0.40152839496405585], [-0.7578261126645381, 0.43753111014579876], [1.081497594189814, -1.1380449941361546], [0.13264514185492984, 0.13264514185492984], [-0.6606643914072821, 1.1071567711541241], [0.8817058393617319, 0.30549588524455945], [-0.4896530973573805, 0.3634332537748391], [-0.37646411769768634, 1.4049832144743553], [-0.39324682951015183, -0.19785236388446445], [-0.024371323207018177, 0.04221237004223795], [0.6761650351624477, 0.7367501918722288]], 'angles': [None, None, None, None, -0.42465197438284896, -0.21929309174790906, -0.20118897123944865, -0.25270701813418406, -0.4484654772248718, -0.21793923001153703, -0.47699711631657715, -0.3118758518438178, -0.33446532599664014, -0.21173724912507452, -0.2765783306264754, -0.1886974450858112, -0.36845616356505395, -0.03856990477448418, -0.03631452843885306, -0.3885024042007729, -0.3876587629473726, -0.42840775622632565, -0.03645349607974124, -0.13496741013030222, -0.3126847090286139, -0.20974445671384506, 0.03332572249985365, 0.01938180038975596, -0.12204205360811204, -0.1042961701632726, 0.051156394820656995, -0.40032729066251554, -0.2379382189281329, -0.34364975014423194, 0.2227329968484228, -0.4281350375816157, 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-0.14977570336781745, -0.005867575835007746, -0.33532003522019266, -0.4821330268242693, -0.17602116693973122, -0.19049253246375558, 0.2148340583398401, 0.022132338494011142, -0.24349603623076643, -0.19734571219460018, -0.17828646853808305, -0.19552002466879637, -0.13443272279234864, -0.2821375458131085, -0.22659512947464738, -0.406265359403415, -0.16600673759285106, -0.3661930029462387, -0.39191334282128754, -0.13332967939293716, -0.24649576089732667, -0.45080250790509396, -0.4115976480026182, -0.26079371458118855, 0.08229035915119917, -0.24152342125340837, -0.21526872225845353, 0.10963174262946335, -0.23707873279208647, -0.05741030432980209, 0.25104003436947125, -0.17423411032563949, -0.03728338928667302, -0.1418163157679377, -0.08434481942755273, -0.1857468981429123, -0.15396033035872905, -0.11946486658968224, -0.4054068390108399, 0.17127291714984347], 'char_orbit_index': 88, 'conrey_index': 163, 'dual_conrey_index': 67, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 99, 'hecke_orbit': 1, 'hecke_orbit_code': 5978628031304, 'label': '840.2.dj.a.163.3', 'level': 840, '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': 3360, 'analytic_conductor': 6.707433769787552, 'char_conductor': 280, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 88, 'char_orbit_label': 'dj', 'char_order': 12, 'char_parity': 1, 'char_values': [840, 12, [631, 421, 281, 337, 241], [6, 6, 12, 3, 8]], 'conrey_index': 67, 'cusp_dim': 736, 'dim': 384, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 5978628031304, 'hecke_orbit_dims': [384], 'label': '840.2.dj', 'level': 840, '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': 800, 'mf_new_dim': 384, 'num_forms': 1, 'prim_orbit_index': 44, 'relative_dim': 96, 'sturm_bound': 384, 'trace_bound': 0, 'trace_display': [0, 0, 0, 0], 'traces': [384, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 44, 0, 0, 0, 0, 0, 0, 48, 0, 0, 12, 0, 20, 0, -20, 0, 0, 0, -48, 0, -32, 0, -72, 0, 4, 0, 0, 0, 32, 0, 8, 0, 20, 0, -144, 0, 0, 0, -24, 48, 44, 0, -40, 0, 12, 0, 0, 0, 96, 0, -48, 0, 36, 192, -44, 0, 0, 0, 32, 0, 68, 0, 24, -64, -72, 0, 0, 0, 0, 32, -80, 0, 20, 0, 32, 0, 0, 32, -48, 0, 0, 0, -60, 0, -64, 0, 0, -64, 48, 0, 96, 0, -64, -192, -156, 0, 0, 0, -16, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, -32, 0, -104, 0, -84, 0, 0, -32, -256, -64, -248, 0, -40, 0, -188, 0, 0, 0, 40, 0, -100, 0, 8, -32, 0, 80, 0, 0, -96, 0, -44, 0, -8, 0, 60, 0, 0, 0, -16, 16, -132, 0, -24, 0, 32, 0, 0, 0, 64, 0, 112, 0, 304, 0, 48, 0, 0, 0, -192, 0, 0, 0, -132, 0, 216, 144, 0, 0, -296, 0, -168, 0, 48, -384, -8, 0, 0, 0, 0, -32, 312, 0, -168, 0, 20, 0, 0, 0, -136, 96, -56, 0, -128, 0, 104, 0, 0, -96, -248, 0, 212, 0, 0, -32, 12, 0, 0, 0, 48, 0, -76, 0, 164, -256, 40, 0, 0, 0, 16, 0, 72, 0, 400, 0, -12, 0, 0, 32, -48, -192, 12, 0, 16, 0, 496, 0, 0, -176, 56, 0, 132, 0, 296, -64, 96, -48, 0, 0, 272, 0, 0, 0, 56, -96, 204, 0, 0, 0, 0, 0, 120, 0, 64, 0, -40, 0, 0, 0, 16, -608, 372, 0, 44, 0, -44, 96, 0, 0, 192, 0, 112, 0, 152, 0, -320, 0, 0, 0, -56, 0, 32, 0, -128, 0, 276, 0, 0, 0, 160, 64, 100, 0, 140, 0, 24, 0, 0, 32, -8, 0, 104, 0, -404, 0, 180, -192, 0, 48, 800, 0, -320, 0, 32, 192, -308, 0, 0, 0, 120, 0, 128, 0, -24, 0, -160, 0, 0, 0, 288, 0, -20, 0, 196, 0, 40, 0, 0, -32, -320, 0, 164, 0, -128, 0, -68, 160, 0, 224, -32, 0, 216, 0, -704, 0, 72, -128, 0, 0, -304, 0, -16, 0, -188, 0, -264, 0, 0, 0, 368, 32, -348, 0, -52, 0, -60, 0, 0, 0, 80, 224, -616, 0, -244, 0, -16, -320, 0, -128, 160, 0, -100, 0, 216, 0, 408, -240, 0, 0, -304, 0, -276, 0, 12, -192, -136, 0, 0, 0, -240, -16, -24, 0, -332, 0, 256, 0, 0, 0, -16, 352, -8, 0, 808, 0, -124, -96, 0, 0, 40, 0, -112, 0, -112, 0, 520, -160, 0, 0, 0, 0, -264, 0, 376, 0, -148, 0, 0, 0, 96, -192, 256, 0, -16, 0, 320, 0, 0, 448, 40, 0, -392, 0, 120, 0, -48, 0, 0, 272, -56, 0, 636, 0, -36, -32, -8, 144, 0, 0, 464, 0, -196, 0, 288, 128, 484, 0, 0, 0, -136, -32, 136, 0, 48, 0, 380, 0, 0, -768, 312, 448, -260, 0, 248, 0, -128, -208, 0, 96, -200, 0, 72, 0, 688, 0, 216, 256, 0, 0, 400, 0, 800, 0, 208, 224, 356, 0, 0, 0, -72, -192, 156, 0, -16, 0, -272, 0, 0, 0, 272, 896, 32, 0, 320, 0, -40, 32, 0, 464, 64, 0, 420, 0, 168, -128, -36, -96, 0, 0, -24, 0, -192, 0, -600, 0, -44, 0, 0, 0, 400, -384, -52, 0, 80, 0, 24, 0, 0, -48, 312, 176, 416, 0, -28, 0, -100, 0, 0, 0, -112, 0, -968, 0, 376, 160, -80, 160, 0, 0, 344, 0, 12, 0, 136, -160, -688, 0, 0, 0, 472, 0, -584, 0, -64, 0, -128, 0, 0, -192, -96, 0, 140, 0, -504, 0, -344, -160, 0, 0, -120, 0, -192, 0, -952, 0, -88, 432, 0, 0, -384, 0, 40, 0, -148, -128, -592, 0, 0, 0, -160, 32, -488, 0, -352, 0, -24, 0, 0, 0, -288, 48, -112, 0, -176, 0, -224, -128, 0, 256, -96, 0, -172, 0, -200, 160, 400, 128, 0, 0, -144, 0, -932, 0, -144, 384, 0, 0, 0, 0, -672, 0, -44, 0, -516, 0, 372, 0, 0, 0, -376, 0, -416, 0, 96, 0, -520, 0, 0, -352, -48, 0, -304, 0, -428, 160, -168, 624, 0, 0, -40, 0, -192, 0, 964, -512, -280, 0, 0, 0, -720, 0, 744, 0, -280, 0, 396, 0, 0, -384, -160, 288, -172, 0, 648, 0, 136, -128, 0, 0, -216, 0, -16, 0, -384, 0, 112, 0, 0, 0, -160, 0, -552, 0, 0, -1600, -72, 0, 0, 0, -64, 0, 16, 0, 712, 0, -104, 0, 0, 32, 656, 0, 36, 0, 176, 0, -160, 224, 0, -448, -456, 0, 648, 0, -24, 384, -268, 0, 0, 0, -48, 0, 1120, 0, 520, -192, 124, 0, 0, 0, -336, -192, 192, 0, 40, 0, -704, 0, 0, -32, 336, -448, 428, 0, -84, 0, 268, -16, 0, -128, 528, 0, 148, 0, 696, 512, -124, 256, 0, 0, 344, 0, 280, 0, -1160, 0, 84, 0, 0, 0, -32, 0, 112, 0, 64, 0, -552, 0, 0, 0, -96, -448, 676, 0, -532, 0, 232, 112, 0, 176, -96, 0, -64, 0, 164, 0, -436, -480, 0, 0, -216, 0, 252, 0, -304, 160, -448, 0, 0, 0, 16, -736, -1076, 0, -40, 0, 0, 0, 0, 0, -1136, -176, 328, 0, -696, 0, -816, -256, 0, 208, 256, 0, -304, 0, -80, 448, -640, 0, 0, 0, -488, 0, 644, 0, -272, 960, 0, 0, 0, 0, 200, 96, -240, 0, -1172, 0, -252, 0, 0, -96, -128, 208, -1064, 0, -156, 0, -360, 0, 0, 448, 344, 0, -344, 0, -648], '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: 33241509
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 163, 'source_dim': 384, 'source_embedding_index': 3, 'source_hecke_orbit_code': 5978628031304, 'source_is_minimal': True, 'source_label': '840.2.dj.a.163.3', 'source_level': 840, 'target_conrey_index': 163, 'target_dim': 384, 'target_embedding_index': 3, 'target_hecke_orbit_code': 5978628031304, 'target_is_minimal': True, 'target_label': '840.2.dj.a.163.3', 'target_level': 840, 'twist_class_label': '840.2.dj.a.67.3', 'twist_class_level': 840, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 33241510
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 163, 'source_dim': 384, 'source_embedding_index': 3, 'source_hecke_orbit_code': 5978628031304, 'source_is_minimal': True, 'source_label': '840.2.dj.a.163.3', 'source_level': 840, 'target_conrey_index': 667, 'target_dim': 384, 'target_embedding_index': 48, 'target_hecke_orbit_code': 5978628031304, 'target_is_minimal': True, 'target_label': '840.2.dj.a.667.48', 'target_level': 840, 'twist_class_label': '840.2.dj.a.67.3', 'twist_class_level': 840, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 33241511
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 163, 'source_dim': 384, 'source_embedding_index': 3, 'source_hecke_orbit_code': 5978628031304, 'source_is_minimal': True, 'source_label': '840.2.dj.a.163.3', 'source_level': 840, 'target_conrey_index': 403, 'target_dim': 384, 'target_embedding_index': 64, 'target_hecke_orbit_code': 5978628031304, 'target_is_minimal': True, 'target_label': '840.2.dj.a.403.64', 'target_level': 840, 'twist_class_label': '840.2.dj.a.67.3', 'twist_class_level': 840, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 33241512
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 163, 'source_dim': 384, 'source_embedding_index': 3, 'source_hecke_orbit_code': 5978628031304, 'source_is_minimal': True, 'source_label': '840.2.dj.a.163.3', 'source_level': 840, 'target_conrey_index': 163, 'target_dim': 384, 'target_embedding_index': 82, 'target_hecke_orbit_code': 5978628031304, 'target_is_minimal': True, 'target_label': '840.2.dj.a.163.82', 'target_level': 840, 'twist_class_label': '840.2.dj.a.67.3', 'twist_class_level': 840, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 33241513
    {'conductor': 35, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 163, 'source_dim': 384, 'source_embedding_index': 3, 'source_hecke_orbit_code': 5978628031304, 'source_is_minimal': True, 'source_label': '840.2.dj.a.163.3', 'source_level': 840, 'target_conrey_index': 67, 'target_dim': 384, 'target_embedding_index': 82, 'target_hecke_orbit_code': 5978628031304, 'target_is_minimal': True, 'target_label': '840.2.dj.a.67.82', 'target_level': 840, 'twist_class_label': '840.2.dj.a.67.3', 'twist_class_level': 840, 'twisting_char_label': '35.32', 'twisting_conrey_index': 32, 'weight': 2}
  • id: 33241514
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 163, 'source_dim': 384, 'source_embedding_index': 3, 'source_hecke_orbit_code': 5978628031304, 'source_is_minimal': True, 'source_label': '840.2.dj.a.163.3', 'source_level': 840, 'target_conrey_index': 667, 'target_dim': 384, 'target_embedding_index': 64, 'target_hecke_orbit_code': 5978628031304, 'target_is_minimal': True, 'target_label': '840.2.dj.a.667.64', 'target_level': 840, 'twist_class_label': '840.2.dj.a.67.3', 'twist_class_level': 840, 'twisting_char_label': '40.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 33241515
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 163, 'source_dim': 384, 'source_embedding_index': 3, 'source_hecke_orbit_code': 5978628031304, 'source_is_minimal': True, 'source_label': '840.2.dj.a.163.3', 'source_level': 840, 'target_conrey_index': 403, 'target_dim': 384, 'target_embedding_index': 48, 'target_hecke_orbit_code': 5978628031304, 'target_is_minimal': True, 'target_label': '840.2.dj.a.403.48', 'target_level': 840, 'twist_class_label': '840.2.dj.a.67.3', 'twist_class_level': 840, 'twisting_char_label': '56.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 33241516
    {'conductor': 280, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 163, 'source_dim': 384, 'source_embedding_index': 3, 'source_hecke_orbit_code': 5978628031304, 'source_is_minimal': True, 'source_label': '840.2.dj.a.163.3', 'source_level': 840, 'target_conrey_index': 67, 'target_dim': 384, 'target_embedding_index': 3, 'target_hecke_orbit_code': 5978628031304, 'target_is_minimal': True, 'target_label': '840.2.dj.a.67.3', 'target_level': 840, 'twist_class_label': '840.2.dj.a.67.3', 'twist_class_level': 840, 'twisting_char_label': '280.67', 'twisting_conrey_index': 67, 'weight': 2}
• hecke_orbit_code 5978628031304 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': 88, 'hecke_orbit': 1, 'label': '840.2.dj.a', 'level': 840, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 15746064
    {'hecke_orbit_code': 5978628031304, 'n': 1, 'trace_an': 384}
  • id: 15746065
    {'hecke_orbit_code': 5978628031304, 'n': 2, 'trace_an': 0}
  • id: 15746066
    {'hecke_orbit_code': 5978628031304, 'n': 3, 'trace_an': 0}
  • id: 15746067
    {'hecke_orbit_code': 5978628031304, 'n': 4, 'trace_an': 0}
  • id: 15746068
    {'hecke_orbit_code': 5978628031304, 'n': 5, 'trace_an': 0}
  • id: 15746069
    {'hecke_orbit_code': 5978628031304, 'n': 6, 'trace_an': 0}
  • id: 15746070
    {'hecke_orbit_code': 5978628031304, 'n': 7, 'trace_an': 0}
  • id: 15746071
    {'hecke_orbit_code': 5978628031304, 'n': 8, 'trace_an': 24}
  • id: 15746072
    {'hecke_orbit_code': 5978628031304, 'n': 9, 'trace_an': 0}
  • id: 15746073
    {'hecke_orbit_code': 5978628031304, 'n': 10, 'trace_an': 0}
  • id: 15746074
    {'hecke_orbit_code': 5978628031304, 'n': 11, 'trace_an': 0}
  • id: 15746075
    {'hecke_orbit_code': 5978628031304, 'n': 12, 'trace_an': 0}
  • id: 15746076
    {'hecke_orbit_code': 5978628031304, 'n': 13, 'trace_an': 0}
  • id: 15746077
    {'hecke_orbit_code': 5978628031304, 'n': 14, 'trace_an': 0}
  • id: 15746078
    {'hecke_orbit_code': 5978628031304, 'n': 15, 'trace_an': 0}
  • id: 15746079
    {'hecke_orbit_code': 5978628031304, 'n': 16, 'trace_an': -16}
  • id: 15746080
    {'hecke_orbit_code': 5978628031304, 'n': 17, 'trace_an': 0}
  • id: 15746081
    {'hecke_orbit_code': 5978628031304, 'n': 18, 'trace_an': 0}
  • id: 15746082
    {'hecke_orbit_code': 5978628031304, 'n': 19, 'trace_an': 0}
  • id: 15746083
    {'hecke_orbit_code': 5978628031304, 'n': 20, 'trace_an': 0}
  • id: 15746084
    {'hecke_orbit_code': 5978628031304, 'n': 21, 'trace_an': 0}
  • id: 15746085
    {'hecke_orbit_code': 5978628031304, 'n': 22, 'trace_an': 0}
  • id: 15746086
    {'hecke_orbit_code': 5978628031304, 'n': 23, 'trace_an': 0}
  • id: 15746087
    {'hecke_orbit_code': 5978628031304, 'n': 24, 'trace_an': 0}
  • id: 15746088
    {'hecke_orbit_code': 5978628031304, 'n': 25, 'trace_an': 0}
  • id: 15746089
    {'hecke_orbit_code': 5978628031304, 'n': 26, 'trace_an': 32}
  • id: 15746090
    {'hecke_orbit_code': 5978628031304, 'n': 27, 'trace_an': 0}
  • id: 15746091
    {'hecke_orbit_code': 5978628031304, 'n': 28, 'trace_an': 44}
  • id: 15746092
    {'hecke_orbit_code': 5978628031304, 'n': 29, 'trace_an': 0}
  • id: 15746093
    {'hecke_orbit_code': 5978628031304, 'n': 30, 'trace_an': 0}
  • id: 15746094
    {'hecke_orbit_code': 5978628031304, 'n': 31, 'trace_an': 0}
  • id: 15746095
    {'hecke_orbit_code': 5978628031304, 'n': 32, 'trace_an': 0}
  • id: 15746096
    {'hecke_orbit_code': 5978628031304, 'n': 33, 'trace_an': 0}
  • id: 15746097
    {'hecke_orbit_code': 5978628031304, 'n': 34, 'trace_an': 0}
  • id: 15746098
    {'hecke_orbit_code': 5978628031304, 'n': 35, 'trace_an': 48}
  • id: 15746099
    {'hecke_orbit_code': 5978628031304, 'n': 36, 'trace_an': 0}
  • id: 15746100
    {'hecke_orbit_code': 5978628031304, 'n': 37, 'trace_an': 0}
  • id: 15746101
    {'hecke_orbit_code': 5978628031304, 'n': 38, 'trace_an': 12}
  • id: 15746102
    {'hecke_orbit_code': 5978628031304, 'n': 39, 'trace_an': 0}
  • id: 15746103
    {'hecke_orbit_code': 5978628031304, 'n': 40, 'trace_an': 20}
  • id: 15746104
    {'hecke_orbit_code': 5978628031304, 'n': 41, 'trace_an': 0}
  • id: 15746105
    {'hecke_orbit_code': 5978628031304, 'n': 42, 'trace_an': -20}
  • id: 15746106
    {'hecke_orbit_code': 5978628031304, 'n': 43, 'trace_an': 0}
  • id: 15746107
    {'hecke_orbit_code': 5978628031304, 'n': 44, 'trace_an': 0}
  • id: 15746108
    {'hecke_orbit_code': 5978628031304, 'n': 45, 'trace_an': 0}
  • id: 15746109
    {'hecke_orbit_code': 5978628031304, 'n': 46, 'trace_an': -48}
  • id: 15746110
    {'hecke_orbit_code': 5978628031304, 'n': 47, 'trace_an': 0}
  • id: 15746111
    {'hecke_orbit_code': 5978628031304, 'n': 48, 'trace_an': -32}
  • id: 15746112
    {'hecke_orbit_code': 5978628031304, 'n': 49, 'trace_an': 0}
  • id: 15746113
    {'hecke_orbit_code': 5978628031304, 'n': 50, 'trace_an': -72}
  • id: 15746114
    {'hecke_orbit_code': 5978628031304, 'n': 51, 'trace_an': 0}
  • id: 15746115
    {'hecke_orbit_code': 5978628031304, 'n': 52, 'trace_an': 4}
  • id: 15746116
    {'hecke_orbit_code': 5978628031304, 'n': 53, 'trace_an': 0}
  • id: 15746117
    {'hecke_orbit_code': 5978628031304, 'n': 54, 'trace_an': 0}
  • id: 15746118
    {'hecke_orbit_code': 5978628031304, 'n': 55, 'trace_an': 0}
  • id: 15746119
    {'hecke_orbit_code': 5978628031304, 'n': 56, 'trace_an': 32}
  • id: 15746120
    {'hecke_orbit_code': 5978628031304, 'n': 57, 'trace_an': 0}
  • id: 15746121
    {'hecke_orbit_code': 5978628031304, 'n': 58, 'trace_an': 8}
  • id: 15746122
    {'hecke_orbit_code': 5978628031304, 'n': 59, 'trace_an': 0}
  • id: 15746123
    {'hecke_orbit_code': 5978628031304, 'n': 60, 'trace_an': 20}
  • id: 15746124
    {'hecke_orbit_code': 5978628031304, 'n': 61, 'trace_an': 0}
  • id: 15746125
    {'hecke_orbit_code': 5978628031304, 'n': 62, 'trace_an': -144}
  • id: 15746126
    {'hecke_orbit_code': 5978628031304, 'n': 63, 'trace_an': 0}
  • id: 15746127
    {'hecke_orbit_code': 5978628031304, 'n': 64, 'trace_an': 0}
  • id: 15746128
    {'hecke_orbit_code': 5978628031304, 'n': 65, 'trace_an': 0}
  • id: 15746129
    {'hecke_orbit_code': 5978628031304, 'n': 66, 'trace_an': -24}
  • id: 15746130
    {'hecke_orbit_code': 5978628031304, 'n': 67, 'trace_an': 48}
  • id: 15746131
    {'hecke_orbit_code': 5978628031304, 'n': 68, 'trace_an': 44}
  • id: 15746132
    {'hecke_orbit_code': 5978628031304, 'n': 69, 'trace_an': 0}
  • id: 15746133
    {'hecke_orbit_code': 5978628031304, 'n': 70, 'trace_an': -40}
  • id: 15746134
    {'hecke_orbit_code': 5978628031304, 'n': 71, 'trace_an': 0}
  • id: 15746135
    {'hecke_orbit_code': 5978628031304, 'n': 72, 'trace_an': 12}
  • id: 15746136
    {'hecke_orbit_code': 5978628031304, 'n': 73, 'trace_an': 0}
  • id: 15746137
    {'hecke_orbit_code': 5978628031304, 'n': 74, 'trace_an': 0}
  • id: 15746138
    {'hecke_orbit_code': 5978628031304, 'n': 75, 'trace_an': 0}
  • id: 15746139
    {'hecke_orbit_code': 5978628031304, 'n': 76, 'trace_an': 96}
  • id: 15746140
    {'hecke_orbit_code': 5978628031304, 'n': 77, 'trace_an': 0}
  • id: 15746141
    {'hecke_orbit_code': 5978628031304, 'n': 78, 'trace_an': -48}
  • id: 15746142
    {'hecke_orbit_code': 5978628031304, 'n': 79, 'trace_an': 0}
  • id: 15746143
    {'hecke_orbit_code': 5978628031304, 'n': 80, 'trace_an': 36}
  • id: 15746144
    {'hecke_orbit_code': 5978628031304, 'n': 81, 'trace_an': 192}
  • id: 15746145
    {'hecke_orbit_code': 5978628031304, 'n': 82, 'trace_an': -44}
  • id: 15746146
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  • id: 15746147
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  • id: 15746148
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  • id: 15746149
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  • id: 15746150
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  • id: 15746151
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  • id: 15746152
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  • id: 15746153
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  • id: 15746154
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  • id: 15746155
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  • id: 15746156
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  • id: 15746157
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  • id: 15746158
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  • id: 15746159
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  • id: 15746160
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  • id: 15746161
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  • id: 15746162
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  • id: 15746163
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  • id: 15746164
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  • id: 15746165
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  • id: 15746166
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  • id: 15746167
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  • id: 15746168
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  • id: 15746169
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  • id: 15746170
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  • id: 15746171
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  • id: 15746172
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  • id: 15746173
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  • id: 15746174
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  • id: 15746175
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  • id: 15746176
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  • id: 15746177
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  • id: 15746178
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  • id: 15746179
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  • id: 15746180
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  • id: 15746181
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  • id: 15746182
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  • id: 15746183
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  • id: 15746184
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  • id: 15746185
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  • id: 15746186
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  • id: 15746187
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  • id: 15746188
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  • id: 15746189
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  • id: 15746190
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  • id: 15746191
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  • id: 15746192
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  • id: 15746193
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  • id: 15746194
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  • id: 15746195
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  • id: 15746196
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  • id: 15746197
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  • id: 15746198
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  • id: 15746199
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  • id: 15746200
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  • id: 15746201
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  • id: 15746202
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  • id: 15746203
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  • id: 15746204
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  • id: 15746205
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  • id: 15746206
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  • id: 15746207
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  • id: 15746208
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  • id: 15746209
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  • id: 15746210
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  • id: 15746211
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  • id: 15746212
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  • id: 15746213
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  • id: 15746214
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  • id: 15746215
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  • id: 15746216
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  • id: 15746217
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  • id: 15746218
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  • id: 15746219
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  • id: 15746220
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  • id: 15746221
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  • id: 15746222
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  • id: 15746223
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  • id: 15746224
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  • id: 15746225
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  • id: 15746226
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  • id: 15746227
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  • id: 15746228
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  • id: 15746229
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  • id: 15746230
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  • id: 15746231
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  • id: 15746232
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  • id: 15746233
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  • id: 15746234
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  • id: 15746235
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  • id: 15746236
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  • id: 15746237
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  • id: 15746238
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  • id: 15746239
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  • id: 15746240
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  • id: 15746241
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  • id: 15746242
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  • id: 15746243
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  • id: 15746244
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  • id: 15746245
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  • id: 15746246
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  • id: 15746247
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  • id: 15746248
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  • id: 15746249
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  • id: 15746250
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  • id: 15746251
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  • id: 15746252
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  • id: 15746253
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  • id: 15746254
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  • id: 15746255
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  • id: 15746256
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  • id: 15746257
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  • id: 15746258
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  • id: 15746259
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  • id: 15746260
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  • id: 15746261
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  • id: 15746262
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  • id: 15746263
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  • id: 15746264
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  • id: 15746265
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  • id: 15746266
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  • id: 15746267
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  • id: 15746268
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  • id: 15746269
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  • id: 15746270
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  • id: 15746271
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  • id: 15746272
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  • id: 15746273
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  • id: 15746274
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  • id: 15746275
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  • id: 15746276
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  • id: 15746277
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  • id: 15746278
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  • id: 15746279
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  • id: 15746280
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  • id: 15746281
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  • id: 15746282
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  • id: 15746283
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  • id: 15746284
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  • id: 15746285
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  • id: 15746286
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  • id: 15746287
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  • id: 15746288
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  • id: 15746289
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  • id: 15746290
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  • id: 15746291
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  • id: 15746292
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  • id: 15746293
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  • id: 15746294
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  • id: 15746295
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  • id: 15746296
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  • id: 15746297
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  • id: 15746298
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  • id: 15746299
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  • id: 15746300
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  • id: 15746301
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  • id: 15746302
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  • id: 15746303
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  • id: 15746304
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  • id: 15746305
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  • id: 15746306
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  • id: 15746307
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  • id: 15746308
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  • id: 15746309
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  • id: 15746310
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  • id: 15746311
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  • id: 15746312
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  • id: 15746313
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  • id: 15746314
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  • id: 15746315
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  • id: 15746316
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  • id: 15746317
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  • id: 15746318
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  • id: 15746319
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  • id: 15746320
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  • id: 15746321
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