Embedded newform data - 475.2.bb.b.393.4

Formats: - HTML - YAML - JSON - 2025-09-11T01:40:01.764580

• 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': 1900, 'analytic_conductor': 3.7928940960108184, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 95, 'char_degree': 12, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 28, 'char_orbit_label': 'bb', 'char_order': 36, 'char_parity': 1, 'char_values': [475, 36, [77, 401], [9, 10]], 'cm_discs': [], 'conrey_index': 32, 'dim': 96, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [531441, 11691702, 128608722, 395510202, -1903916907, -25397683488, 49172595480, -124465441752, 2354833543860, -5110034471406, 8123600392956, -70478301813930, 69524313685524, 5305513077018, 842904539702820, -1272910828152600, 1816081363279746, -697544312527278, 9079697694015846, -21674956447674432, 19223332131355380, 9218320428939510, -10670177126551500, -67092925443239928, 179231317600923658, -245992328452564308, 202673818647454950, -114208830659115684, 27203534402735880, -116020918090699176, 294146309511903402, -316406840904438594, 214118788663989603, -92939721616696962, 184441503074245218, -247970596613191704, 146408322378655418, -3332888131098714, -29131661593951758, -40521148168336296, 103059532917161562, -71256032377756290, -18470071422345132, 87916510021799136, -96832365900700656, 59811497871763350, -13303525007105784, -18123695221624386, 27578899627430327, -20246144350548810, 6823365793910964, 3254407703626146, -6471916716646497, 4600277667636624, -1266016271328630, -982266801733434, 1555695336194013, -1104563617300290, 445759689254346, -8732041389156, -150929267622708, 142816707501084, -82323876184254, 31337921247186, -4743629751249, -3811112880924, 4032701119638, -2243311140624, 909035753589, -313877809026, 120523299588, -64119611814, 39490791480, -22298508180, 10754407422, -4470739068, 1612707633, -479206080, 99187092, -7056612, -1838889, -616578, 705924, 232236, -686693, 592032, -327960, 130878, -36672, 4656, 2178, -1962, 897, -294, 72, -12, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4505455086797275, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 3, -1, 4, 0], [1, 1, 19, 6, -1, 18, 0], [1, 1, 95, 18, 1, 36, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '475.2.bb.b', 'level': 475, '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': [5, 19], 'level_radical': 95, 'minimal_twist': '95.2.r.a', 'prim_orbit_index': 18, 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '1.2.3.c36', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '475.2.bb', 'trace_display': [12, 12, 0, 0], 'traces': [96, 12, 12, 0, 0, -12, 0, 18, 0, 0, -12, 18, 12, 0, 0, 12, 30, 0, 0, 0, 24, 24, 0, 0, 0, -48, 18, 0, 0, 0, -36, -18, -90, 0, 0, 24, 0, -54, 0, 0, 12, -24, -48, 0, 0, -36, 24, -60, 0, 0, -96, 0, 30, 0, 0, 0, 66, -120, 0, 0, -48, -60, 126, 0, 0, 72, -108, -18, 0, 0, -24, -48, -6, 0, 0, 60, -168, 138, 0, 0, -120, -60, 0, 0, 0, -180, 6, 198, 0, 0, -24, 72, 90, 0, 0, -192, 72, 90, 0, 0, 72, -30, 72, 0, 0, 96, 90, 6, 0, 0, 120, 60, 0, 0, 0, 264, 6, -24, 0, 0, 48, 18, -24, 0, 0, 288, -36, -258, 0, 0, 144, 0, -18, 0, 0, -108, 66, -180, 0, 0, -36, 126, -138, 0, 0, -12, -48, 90, 0, 0, 0, -144, -156, 0, 0, 120, -132, 108, 0, 0, -36, -114, -18, 0, 0, -120, 30, -6, 0, 0, -84, -120, 288, 0, 0, -144, -6, 90, 0, 0, -96, -66, 234, 0, 0, -192, 18, 216, 0, 0, -120, 348, 150, 0, 0, 36, 48, 270, 0, 0, 12, 396, -18, 0, 0, -216, 90, 0, 0, 0, 48, -12, -240, 0, 0, 108, 90, -372, 0, 0, 36, 120, -222, 0, 0, -12, 0, -168, 0, 0, 192, -144, -366, 0, 0, 72, -126, -306, 0, 0, -24, -270, -138, 0, 0, 0, -12, -396, 0, 0, 12, -282, -6, 0, 0, -156, -42, -36, 0, 0, -144, -144, 24, 0, 0, -216, -240, 354, 0, 0, -192, 288, -66, 0, 0, -132, -36, 414, 0, 0, 276, -288, 24, 0, 0, 216, 102, 150, 0, 0, 180, 84, 270, 0, 0, -96, 108, -30, 0, 0, 312, 240, 0, 0, 0, 312, 216, 6, 0, 0, 0, 198, 6, 0, 0, 324, -84, -312, 0, 0, 0, 0, -24, 0, 0, 300, 24, -228, 0, 0, 252, -72, -108, 0, 0, 288, -180, 96, 0, 0, 0, 168, -72, 0, 0, -180, 78, 324, 0, 0, -60, -204, 30, 0, 0, -408, 432, 144, 0, 0, -168, -204, 420, 0, 0, -312, 54, 114, 0, 0, -72, 120, 378, 0, 0, 84, 270, 444, 0, 0, -720, 282, -78, 0, 0, 492, 156, -18, 0, 0, -96, 162, 336, 0, 0, -204, 78, 0, 0, 0, 48, 84, 108, 0, 0, -60, 36, 198, 0, 0, 216, 318, -42, 0, 0, 564, 0, -312, 0, 0, 120, -246, -324, 0, 0, 324, -294, -474, 0, 0, -72, -408, -204, 0, 0, 0, -456, -648, 0, 0, -192, -264, 144, 0, 0, -360, -288, -6, 0, 0, -276, -276, -90, 0, 0, 12, -252, 330, 0, 0, 12, -18, -108, 0, 0, -192, -240, 54, 0, 0, 252, -348, 24, 0, 0, -456, -78, 66, 0, 0, -324, -318, -36, 0, 0, -36, -234, -96, 0, 0, 108, -96, 0, 0, 0, 156, 48, 72, 0, 0, 132, 378, -78, 0, 0, 72, -210, -342, 0, 0, -168, 0, -6, 0, 0, -180, -36, -372, 0, 0, 396, -114, -288, 0, 0, 24, 0, 24, 0, 0, 0, 168, 12, 0, 0, -432, -174, 84, 0, 0, 48, 180, 114, 0, 0, -168, 258, 180, 0, 0, -276, -12, 312, 0, 0, 24, 306, 144, 0, 0, 12, 150, 234, 0, 0, -612, 114, 552, 0, 0, -216, 420, 36, 0, 0, -48, 126, 648, 0, 0, -96, 702, -90, 0, 0, -252, 354, 0, 0, 0, -96, 0, -318, 0, 0, -420, 216, 78, 0, 0, 36, 390, -252, 0, 0, -96, 0, 234, 0, 0, -120, 42, -168, 0, 0, 468, -66, -348, 0, 0, -48, -450, -348, 0, 0, 0, -120, -480, 0, 0, 408, 210, -120, 0, 0, -36, -60, 108, 0, 0, 180, -348, -126, 0, 0, 204, -324, -84, 0, 0, -252, 24, -66, 0, 0, 180, -102, 234, 0, 0, 312, 42, 156, 0, 0, 864, -60, 258, 0, 0, 468, -36, -90, 0, 0, 300, 36, -144, 0, 0, -12, -120, 0, 0, 0, 624, 324, -132, 0, 0, 372, -162, -168, 0, 0, 144, -120, -12, 0, 0, 360, 0, 228, 0, 0, 372, 114, -6, 0, 0, -72, -96, 144, 0, 0, 780, 114, 228, 0, 0, 0, -324, 204, 0, 0, 60, -78, -156, 0, 0, -120, -108, -150, 0, 0, -360, 258, 258, 0, 0, 624, 492, 432, 0, 0, 204, 156, -162, 0, 0, -252, -114, 162, 0, 0, -216, 426, -288, 0, 0, -384, 306, 354, 0, 0, -444, 24, -18, 0, 0, 0, 90, -6, 0, 0, 672, -234, 0, 0, 0, -156, -198, 24, 0, 0, -156, 450, -576, 0, 0, -396, -60, 24, 0, 0, -180, 0, -270, 0, 0, 396, -84, -288, 0, 0, -468, 258, 252, 0, 0, -588, -90, 54, 0, 0, 0, 6, -156, 0, 0, 180, -504, 186, 0, 0, 216, -96, -300, 0, 0, 264, 54, -168, 0, 0, -312, -384, -378, 0, 0, -192, 114, -138, 0, 0, -252, 120, 270, 0, 0, 180, -330, 24, 0, 0, -480, -102, 54, 0, 0, 60, -36, 252, 0, 0, -264, -216, 216, 0, 0, -192, 546, 0, 0, 0, -264, 24, 144, 0, 0, -36, -252, 246, 0, 0, 1188, -264, 72, 0, 0, 312, 0, 162, 0, 0, -264, -78, 228, 0, 0, -252, 114, 60, 0, 0, 264, -30, 312, 0, 0, 0, 480, 48, 0, 0, -456, 78, -156, 0, 0, -456, 48, 180, 0, 0, 0, 144, 78, 0, 0, -348, 0, 24, 0, 0, -372, -258, 162, 0, 0, 60, 312, -216, 0, 0, -372, 444, -210, 0, 0, -456, -222, -552, 0, 0, -48, 294, -144, 0, 0, -276, -306, 246, 0, 0, -1044, -348, 0, 0, 0, 108, 264, -330, 0, 0, -84, -180, 312, 0, 0, -756, 18, -66, 0, 0, -180, 0, -648, 0, 0, -48, -6, 534, 0, 0, -216, -126, -114, 0, 0], '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], [0.21045187551542963, 0.01841215332536907], [-1.0139698773919994, 0.4728219189663743], [-0.9408567684943231, -0.16589843326772719], [0.0, 0.0], [-0.22209753208090063, 0.0808368907814308], [-0.03274555158904797, -0.1222080622521948], [-0.3990079259029335, -0.10691385151930828], [0.16178673551676248, -0.19280992328619095], [0.0, 0.0], [0.26685649135875683, 0.4622090013629319], [1.0324408377647833, -0.27664168871198547], [0.2686193293514103, -0.5760560107767357], [-0.004641249166918744, -0.02632183202066211], [0.0, 0.0], [0.8157516273474672, 0.29690931090869344], [0.05794622979262901, -0.6623284372775772], [0.03759836779321943, -0.03759836779321943], [-0.03997610844263309, -0.9992006358853975], [0.0, 0.0], [0.09098565343712524, 0.10843247935822574], [0.04765018609845739, 0.10218615385171025], [1.4691713228355123, -1.0287248351709568], [0.45513323014567886, -0.08025226829167846], [0.0, 0.0], [0.0671378732561229, -0.1162862075917246], [0.21668255172226664, -0.8086702921411703], [0.010534747790311825, 0.12041271823966365], [0.8736609145447383, 0.733088551168495], [0.0, 0.0], [-0.32495413793968203, -0.1876123590137582], [0.5405904236327067, 0.25208145446518604], [-0.4891269908122508, -0.3424904061085695], [0.02438978547781368, -0.13832134696470078], [0.0, 0.0], [-0.18420500935519662, 0.1545663554109529], [0.7033525518098254, 0.7033525518098254], [0.009984388313167874, -0.21101969407628918], [0.0, 0.7111125493936054], [0.0, 0.0], [0.32529331817964874, -0.8937360463980527], [0.017151625975446335, 0.02449506044921996], [-0.46744434029876214, 0.6675797028605598], [-0.174393986943182, -0.4791435412150568], [0.0, 0.0], [0.328130899739001, -0.18944646329374634], [-0.8393190399669948, 0.07343090107857396], [-0.9675328077066676, 0.08464815226374117], [0.8521628644538733, -0.49199645918584634], [0.0, 0.0], [0.25440767118142327, 0.6989793319069969], [-0.3482991038309976, 0.497422670886304], [-0.1678092612837269, -0.23965646201522126], [0.06049061080999433, -0.1661965872894771], [0.0, 0.0], [0.0, 0.052262938488374155], [0.5129785318679411, 0.9942577659520708], [0.17036583922527868, 0.17036583922527868], [-0.16519392460526086, 0.13861416120900177], [0.0, 0.0], [0.20449731607867166, -1.159761910837587], [-0.06493286026601021, -0.04546647823577809], [-0.028860723002087533, -0.013457976155763537], [-0.6426738602233839, -0.3710479262011066], [0.0, 0.0], [-0.0966317067119176, -0.08108362946200116], [-0.11700561450693155, -1.3373802935309589], [-0.1643983525621346, 0.6135430044425074], [-1.0032918154294672, 1.7377523991418535], [0.0, 0.0], [-1.8241963312069964, 0.3216550313011886], [-0.08516824128681891, 0.05963544456509403], [0.2736509998545424, 0.5868464629924264], [0.13507162865122904, 0.16097209870265325], [0.0, 0.0], [-0.12815402780718982, 0.9467366551153815], [0.047747303407425466, -0.047747303407425466], [-0.013093113291029147, 0.14965496972244285], [-1.582553681498217, -0.5760024341937471], [0.0, 0.0], [0.2063539202482493, 1.170291236310739], [0.08491419402223459, -0.18209907673017348], [0.352269354266305, -0.0943902889938895], [-0.06761568943133324, -0.11711380948386713], [0.0, 0.0], [-0.11066611796092017, 0.13188674365838124], [-1.2324861859388774, -0.33024367820483674], [-0.057061310588187406, -0.21295571026158333], [1.033912588091237, -0.37631340689834314], [0.0, 0.0], [-0.07919477693284639, -0.013964175904449193], [-1.5529436215860126, 0.7241495034285159], [0.41820094301541577, 0.036587841589699834], [-0.1779882871263426, 0.0], [0.0, 0.0], [-0.6673320426062086, 0.0], [-0.6067356746111202, -0.05308249328522681], [0.18839798731098698, -0.08785142426410147], [0.13229232268336424, 0.023326705829667588], [0.0, 0.0], [1.003255231402769, -0.3651550416024589], [0.040670856915307585, 0.15178570439529193], [1.0214314350169502, 0.2736917281365546], [-0.16876960826493217, 0.2011317869704504], [0.0, 0.0], [-0.030903182241979358, -0.053525881758668535], [0.20566762675157668, -0.05510847449731054], [-0.3380243798988912, 0.7248956219941244], [0.14489154622572967, 0.8217207919262797], [0.0, 0.0], [-1.0457388039785764, -0.38061779746534075], [0.00957247455362955, -0.10941388481483778], [0.7808350497479812, -0.7808350497479812], [0.08965086769911136, 0.21868845097176964], [0.0, 0.0], [-0.700371542732996, -0.8346703022027973], [-0.06761027085394487, -0.1449906937438105], [-0.03731755644617919, 0.026130034331181017], [-0.08283935615128242, 0.014606813553988834], [0.0, 0.0], [0.35757522603938746, -0.6193384590281449], [0.06439055782989274, -0.2403088333488617], [0.09274036655629272, 1.0600272403156847], [0.2746107037087429, 0.23042574019933948], [0.0, 0.0], [-0.005826002964091543, -0.0033636443796178097], [0.5384558531855069, 0.25108608791878545], [-0.6170242831266118, -0.4320450543036959], [0.15832816425078805, -0.8979236394489408], [0.0, 0.0], [0.491851328828998, -0.4127122686144673], [0.40337981817632745, 0.40337981817632745], [-0.12080133379137768, 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[-0.029478765247599823, 0.3369438286008894], [0.014160355176871427, 0.005153947791018524], [0.0, 0.0], [0.011475520440560848, 0.06508091044520414], [-0.24580725387347016, 0.5271353570431068], [-0.03465924722321057, 0.009286917303729906], [0.6214859002934364, 1.0764451554959173], [0.0, 0.0], [0.6577543497406103, -0.7838811093478408], [-0.29649939487468996, -0.07944677341298974], [-0.44149685243763165, -1.6476886846789807], [-0.1759130479114076, 0.0640271132587967], [0.0, 0.0], [-0.09049121203069484, -0.015956042198021943], [0.7395654143109347, -0.34486501639976325], [-1.793239334831334, -0.15688811278651035], [0.41156438046712446, 0.0], [0.0, 0.0], [-1.1475847728466704, 0.0], [0.034615230376539, 0.003028440243285364], [-0.04485351592543158, 0.020915537971205937], [-0.015320046127724033, -0.002701337478015989], [0.0, 0.0], [0.18435651690275495, -0.06710028464559682], [-0.17625533851830616, -0.6577938784555704], [0.156384034201157, 0.041902975673321095], [-0.036558656482582635, 0.04356891020353546], [0.0, 0.0], [-0.4296032054905854, -0.7440945790041468], [0.12901179532770526, -0.03456860637214792], [0.022648833193372103, -0.04857057952465308], [-0.0823682296235251, -0.4671334431779947], [0.0, 0.0], [0.050397354046252854, 0.018343136758611392], [-0.05656649095033342, 0.6465579501459872], [-0.2088912093449809, 0.2088912093449809], [0.6882503642604354, -0.2821467803900746], [0.0, 0.0], [-0.05243673899154603, -0.062491672077099866], [0.19877517829609867, 0.426274745481505], [0.1633353537089503, -0.11436864592315628], [-0.037945588645167984, 0.006690831077007883], [0.0, 0.0], [0.5111631281443033, -0.885360508901774], [-0.4811061541868203, 1.7955126112592794], [-0.01644675339328179, -0.18798725149582848], [0.4498417296316449, 0.377462029422063], [0.0, 0.0], [0.18187745312181094, 0.10500699651940108], [-0.10107883854576594, -0.04713383649130332], [0.8585312912457856, 0.6011500819192149], [0.07632745367042909, -0.4328745003388175], [0.0, 0.0], [0.12271019812812388, -0.1029660819909997], [-0.08432828595907603, -0.08432828595907603], [0.5109486917986277, 0.3281356633930718], [0.0, 1.4616605570752277], [0.0, 0.0], [0.2021427000127073, -0.5553825037925029], [-0.1283734987541809, -0.18333635636429474], [0.4281976510590481, -0.6115296218516351], [0.016933099405021402, 0.0465233082566768], [0.0, 0.0], [0.3375849782922813, -0.1949047780914226], [-1.6365695422111926, 0.1431812820152905], [-0.2445554819672473, 0.021395832275252675], [0.7211845392368098, -0.4163760878637684], [0.0, 0.0]], 'angles': [-0.2192684921536211, -0.41392787910664325, None, -0.05174146355949809, -0.04034084708267816, -0.3790828990538274, -0.4321769853570715, None, -0.1701781858241094, -0.04231366839682686, -0.1967041024453551, -0.042154096598155964, -0.3655695215028173, -0.46957435111783197, -0.3330953425298049, -0.1205877693431976, -0.3783050488250421, -0.37201727485879177, -0.3967689342954467, -0.4662368266022238, -0.016971477985552992, -0.3537728107956179, -0.262481788284735, -0.2128439859076337, -0.2853602458369887, -0.21593336939273103, -0.11966719773723772, -0.2746906376162486, 0.04071624453409124, -0.2819068854677845, -0.13255246070292262, -0.30909606327284084, -0.13330361738746208, 0.08888769669417959, -0.2958441285073366, -0.49169725402185055, -0.04029414396988195, 0.10702362539691739, -0.3632842463774236, -0.363574065233859, -0.130215956880039, 0.23713831822509465, -0.15286837267677075, 0.3960684471666857, -0.45552038719470006, -0.3708647232453676, -0.10804266718101377, -0.28864970936377593, -0.21580249097945783, -0.43792020007619925, 0.1950240299491723, -0.3497036399451382, -0.01562800199839179, -0.47672270396441346, -0.003184199541951804, -0.3880580879622638, -0.1638179480532148, -0.4984953555755975, -0.08952533941570413, -0.2807115321245388, -0.17978028194458592, -0.268284923484898, 0.008644632160218074, -0.39251639747106704, -0.42015285231861277, -0.09484710423172399, -0.3874712486219674, -0.4986852725985883, -0.1137959306769485, -0.16088359800481086, -0.341652153208098, -0.10242580513609142, -0.46020277175454927, 0.06439398735212697, -0.18167051125809158, -0.34513230184974164, -0.4782578490334658, -0.4972430126109676, -0.01618859350139821, -0.24168937055775133, 0.012094394505210099, 0.14338479213797553, -0.4819330741293444, -0.061872312499907114, -0.43051636829474293, -0.16251765173505558, -0.40421587781867496, -0.4918852066075322, 0.03303925284708568, -0.40583662430821554, -0.20265576973446994, -0.15963557062637007, -0.3062010032094153, -0.23695957809360862, -0.37645179985800553, 0.11573827541140642, -0.49826112769921, -0.44544553909366563, -0.11453127654912444, 0.021927785917032552, -0.361072124452866, -0.4316225686491403, 0.1806061279416303, -0.34011132857108495, -0.2598570029382287, -0.017171957615902615, -0.4957341837028445, -0.35854597367147373, -0.19479230539059136, -0.15346642018460474, -0.4982145090556051, -0.4320261401243716, -0.10183902398568043, -0.2742447336948974, 0.07290881743964292, -0.2010652353097148, -0.10445447928534589, -0.3283764966629544, -0.22607284670027009, -0.2996572805093264, -0.17715031665080605, -0.2508400222269663, -0.18680016168148178, -0.36646723022123867, -0.35569359383329147, -0.25469591834465083, -0.4984088065552796, -0.4211901673489081, -0.24663556460457517, -0.4017420939615818, -0.015650050193457554, 0.054268146805724164, -0.45773647558989494, -0.30987884938533095, -0.37570852233250873, -0.49607644671455625, -0.38187375129794016, -0.30512305839657794, -0.06408941404831038, -0.3336186184955032, 0.07063878069864318, 0.05864344992371947, -0.031567642914418846, -0.45062373397758, -0.4964743277928947, -0.3061271351454386, -0.1852467401648257, -0.39374115231851253, -0.2166589694340529, -0.30839649172226563, -0.4442948568185303, -0.4021325571062818, -0.4277621950391385, -0.07359197099375728, -0.4020273402925038, -0.4015579797760423, -0.13528690297526735, 0.06242187335198253, -0.4775187239018016, -0.3034075878798531, -0.25255585581040135, -0.3233831657081709, 0.06648923400165414, -0.11760461060622861, 0.2315151981704498, -0.0649905285599041, -0.3966991857908953, -0.41729510853926494], 'char_orbit_index': 28, 'conrey_index': 393, 'dual_conrey_index': 307, 'dual_embedding_index': 4, 'dual_embedding_m': 52, 'embedding_index': 4, 'embedding_m': 84, 'hecke_orbit': 2, 'hecke_orbit_code': 4505455086797275, 'label': '475.2.bb.b.393.4', 'level': 475, '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': 1900, 'analytic_conductor': 3.7928940960108184, 'char_conductor': 95, 'char_degree': 12, 'char_is_real': False, 'char_orbit_index': 28, 'char_orbit_label': 'bb', 'char_order': 36, 'char_parity': 1, 'char_values': [475, 36, [77, 401], [9, 10]], 'conrey_index': 32, 'cusp_dim': 528, 'dim': 336, 'eis_dim': 144, 'eis_new_dim': 48, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 1855459426779, 'hecke_orbit_dims': [72, 96, 168], 'label': '475.2.bb', 'level': 475, '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': [5, 19], 'level_radical': 95, 'mf_dim': 672, 'mf_new_dim': 384, 'num_forms': 3, 'prim_orbit_index': 18, 'relative_dim': 28, 'sturm_bound': 100, 'trace_bound': 1, 'trace_display': [12, 12, 0, 0], 'traces': [336, 12, 12, 0, 0, -48, 0, 18, 0, 0, -12, 18, 12, 0, 0, -96, 30, 0, 0, 0, 0, 24, 0, 0, 0, 60, 18, 0, 0, 0, -36, -18, -90, 0, 0, -120, 0, -54, 0, 0, -96, -24, -48, 0, 0, -36, 24, -60, 0, 0, -60, 0, 30, 0, 0, 0, 66, -120, 0, 0, -36, -60, 126, 0, 0, 180, -108, -18, 0, 0, -24, -48, -6, 0, 0, -192, -168, 138, 0, 0, 168, -60, 0, 0, 0, 288, 6, 198, 0, 0, -84, 72, 90, 0, 0, 240, 72, 90, 0, 0, -216, -30, 72, 0, 0, 132, 90, 6, 0, 0, -72, 60, 0, 0, 0, -600, 6, -24, 0, 0, -216, 18, -24, 0, 0, -684, -36, -258, 0, 0, 0, 0, -18, 0, 0, -216, 66, -180, 0, 0, -36, 126, -138, 0, 0, -48, -48, 90, 0, 0, 0, -144, -156, 0, 0, 432, -132, 108, 0, 0, 0, -114, -18, 0, 0, 168, 30, -6, 0, 0, 96, -120, 288, 0, 0, 612, -6, 90, 0, 0, 120, -66, 234, 0, 0, 96, 18, 216, 0, 0, 456, 348, 150, 0, 0, 12, 48, 270, 0, 0, -60, 396, -18, 0, 0, -180, 90, 0, 0, 0, 72, -12, -240, 0, 0, 288, 90, -372, 0, 0, -180, 120, -222, 0, 0, -408, 0, -168, 0, 0, -60, -144, -366, 0, 0, -252, -126, -306, 0, 0, 216, -270, -138, 0, 0, 0, -12, -396, 0, 0, -96, -282, -6, 0, 0, 96, -42, -36, 0, 0, 216, -144, 24, 0, 0, 720, -240, 354, 0, 0, 312, 288, -66, 0, 0, 840, -36, 414, 0, 0, -84, -288, 24, 0, 0, 216, 102, 150, 0, 0, -432, 84, 270, 0, 0, 156, 108, -30, 0, 0, 504, 240, 0, 0, 0, -876, 216, 6, 0, 0, -36, 198, 6, 0, 0, -756, -84, -312, 0, 0, -252, 0, -24, 0, 0, 768, 24, -228, 0, 0, -612, -72, -108, 0, 0, -672, -180, 96, 0, 0, 0, 168, -72, 0, 0, 288, 78, 324, 0, 0, -264, -204, 30, 0, 0, 744, 432, 144, 0, 0, 24, -204, 420, 0, 0, 192, 54, 114, 0, 0, -108, 120, 378, 0, 0, 192, 270, 444, 0, 0, 96, 282, -78, 0, 0, 384, 156, -18, 0, 0, -24, 162, 336, 0, 0, 192, 78, 0, 0, 0, -168, 84, 108, 0, 0, 84, 36, 198, 0, 0, 1080, 318, -42, 0, 0, -624, 0, -312, 0, 0, -312, -246, -324, 0, 0, -756, -294, -474, 0, 0, 252, -408, -204, 0, 0, 0, -456, -648, 0, 0, -492, -264, 144, 0, 0, -72, -288, -6, 0, 0, 156, -276, -90, 0, 0, -276, -252, 330, 0, 0, -456, -18, -108, 0, 0, -228, -240, 54, 0, 0, 24, -348, 24, 0, 0, -672, -78, 66, 0, 0, -264, -318, -36, 0, 0, -504, -234, -96, 0, 0, -648, -96, 0, 0, 0, 0, 48, 72, 0, 0, -660, 378, -78, 0, 0, -1332, -210, -342, 0, 0, -216, 0, -6, 0, 0, -1452, -36, -372, 0, 0, 180, -114, -288, 0, 0, -840, 0, 24, 0, 0, 0, 168, 12, 0, 0, -360, -174, 84, 0, 0, 972, 180, 114, 0, 0, 1308, 258, 180, 0, 0, -60, -12, 312, 0, 0, 720, 306, 144, 0, 0, 300, 150, 234, 0, 0, 252, 114, 552, 0, 0, 288, 420, 36, 0, 0, 384, 126, 648, 0, 0, 696, 702, -90, 0, 0, 792, 354, 0, 0, 0, 120, 0, -318, 0, 0, 84, 216, 78, 0, 0, -180, 390, -252, 0, 0, 1560, 0, 234, 0, 0, -192, 42, -168, 0, 0, 144, -66, -348, 0, 0, 348, -450, -348, 0, 0, 0, -120, -480, 0, 0, 672, 210, -120, 0, 0, 72, -60, 108, 0, 0, 108, -348, -126, 0, 0, -480, -324, -84, 0, 0, 96, 24, -66, 0, 0, -828, -102, 234, 0, 0, -1056, 42, 156, 0, 0, 1008, -60, 258, 0, 0, -432, -36, -90, 0, 0, 0, 36, -144, 0, 0, -588, -120, 0, 0, 0, -924, 324, -132, 0, 0, 180, -162, -168, 0, 0, -396, -120, -12, 0, 0, -1152, 0, 228, 0, 0, -276, 114, -6, 0, 0, 36, -96, 144, 0, 0, 1932, 114, 228, 0, 0, 0, -324, 204, 0, 0, 780, -78, -156, 0, 0, 168, -108, -150, 0, 0, 72, 258, 258, 0, 0, 1128, 492, 432, 0, 0, -480, 156, -162, 0, 0, 912, -114, 162, 0, 0, 1140, 426, -288, 0, 0, 984, 306, 354, 0, 0, 456, 24, -18, 0, 0, -36, 90, -6, 0, 0, 1284, -234, 0, 0, 0, -84, -198, 24, 0, 0, 276, 450, -576, 0, 0, 684, -60, 24, 0, 0, 588, 0, -270, 0, 0, 1476, -84, -288, 0, 0, 828, 258, 252, 0, 0, 24, -90, 54, 0, 0, 0, 6, -156, 0, 0, -432, -504, 186, 0, 0, -1404, -96, -300, 0, 0, -60, 54, -168, 0, 0, 1488, -384, -378, 0, 0, -48, 114, -138, 0, 0, -792, 120, 270, 0, 0, 288, -330, 24, 0, 0, -1344, -102, 54, 0, 0, 1248, -36, 252, 0, 0, -948, -216, 216, 0, 0, -288, 546, 0, 0, 0, -144, 24, 144, 0, 0, 36, -252, 246, 0, 0, 1836, -264, 72, 0, 0, -120, 0, 162, 0, 0, 24, -78, 228, 0, 0, -684, 114, 60, 0, 0, -888, -30, 312, 0, 0, 0, 480, 48, 0, 0, -912, 78, -156, 0, 0, -240, 48, 180, 0, 0, -792, 144, 78, 0, 0, -1080, 0, 24, 0, 0, -264, -258, 162, 0, 0, -372, 312, -216, 0, 0, -12, 444, -210, 0, 0, -1392, -222, -552, 0, 0, -2640, 294, -144, 0, 0, -660, -306, 246, 0, 0, -1836, -348, 0, 0, 0, 612, 264, -330, 0, 0, -768, -180, 312, 0, 0, -1836, 18, -66, 0, 0, -1512, 0, -648, 0, 0, -1116, -6, 534, 0, 0, 324, -126, -114, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 38519706
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 393, 'source_dim': 96, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4505455086797275, 'source_is_minimal': False, 'source_label': '475.2.bb.b.393.4', 'source_level': 475, 'target_conrey_index': 393, 'target_dim': 96, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4505455086797275, 'target_is_minimal': False, 'target_label': '475.2.bb.b.393.4', 'target_level': 475, 'twist_class_label': '95.2.r.a.3.4', 'twist_class_level': 95, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 38519707
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 393, 'source_dim': 96, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4505455086797275, 'source_is_minimal': False, 'source_label': '475.2.bb.b.393.4', 'source_level': 475, 'target_conrey_index': 32, 'target_dim': 96, 'target_embedding_index': 5, 'target_hecke_orbit_code': 4505455086797275, 'target_is_minimal': False, 'target_label': '475.2.bb.b.32.5', 'target_level': 475, 'twist_class_label': '95.2.r.a.3.4', 'twist_class_level': 95, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 38519708
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 393, 'source_dim': 96, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4505455086797275, 'source_is_minimal': False, 'source_label': '475.2.bb.b.393.4', 'source_level': 475, 'target_conrey_index': 32, 'target_dim': 96, 'target_embedding_index': 4, 'target_hecke_orbit_code': 1168264659039, 'target_is_minimal': True, 'target_label': '95.2.r.a.32.4', 'target_level': 95, 'twist_class_label': '95.2.r.a.3.4', 'twist_class_level': 95, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 38519709
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 393, 'source_dim': 96, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4505455086797275, 'source_is_minimal': False, 'source_label': '475.2.bb.b.393.4', 'source_level': 475, 'target_conrey_index': 13, 'target_dim': 96, 'target_embedding_index': 5, 'target_hecke_orbit_code': 1168264659039, 'target_is_minimal': True, 'target_label': '95.2.r.a.13.5', 'target_level': 95, 'twist_class_label': '95.2.r.a.3.4', 'twist_class_level': 95, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 38519710
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 393, 'source_dim': 96, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4505455086797275, 'source_is_minimal': False, 'source_label': '475.2.bb.b.393.4', 'source_level': 475, 'target_conrey_index': 127, 'target_dim': 96, 'target_embedding_index': 5, 'target_hecke_orbit_code': 6116066984791, 'target_is_minimal': False, 'target_label': '855.2.dl.a.127.5', 'target_level': 855, 'twist_class_label': '95.2.r.a.3.4', 'twist_class_level': 95, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 38519711
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 393, 'source_dim': 96, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4505455086797275, 'source_is_minimal': False, 'source_label': '475.2.bb.b.393.4', 'source_level': 475, 'target_conrey_index': 298, 'target_dim': 96, 'target_embedding_index': 4, 'target_hecke_orbit_code': 6116066984791, 'target_is_minimal': False, 'target_label': '855.2.dl.a.298.4', 'target_level': 855, 'twist_class_label': '95.2.r.a.3.4', 'twist_class_level': 95, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 38519712
    {'conductor': 19, 'degree': 6, 'order': 18, 'parity': -1, 'source_conrey_index': 393, 'source_dim': 96, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4505455086797275, 'source_is_minimal': False, 'source_label': '475.2.bb.b.393.4', 'source_level': 475, 'target_conrey_index': 193, 'target_dim': 96, 'target_embedding_index': 5, 'target_hecke_orbit_code': 4505455086797275, 'target_is_minimal': False, 'target_label': '475.2.bb.b.193.5', 'target_level': 475, 'twist_class_label': '95.2.r.a.3.4', 'twist_class_level': 95, 'twisting_char_label': '19.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 38519713
    {'conductor': 95, 'degree': 12, 'order': 36, 'parity': 1, 'source_conrey_index': 393, 'source_dim': 96, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4505455086797275, 'source_is_minimal': False, 'source_label': '475.2.bb.b.393.4', 'source_level': 475, 'target_conrey_index': 22, 'target_dim': 96, 'target_embedding_index': 5, 'target_hecke_orbit_code': 1168264659039, 'target_is_minimal': True, 'target_label': '95.2.r.a.22.5', 'target_level': 95, 'twist_class_label': '95.2.r.a.3.4', 'twist_class_level': 95, 'twisting_char_label': '95.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 38519714
    {'conductor': 95, 'degree': 12, 'order': 36, 'parity': 1, 'source_conrey_index': 393, 'source_dim': 96, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4505455086797275, 'source_is_minimal': False, 'source_label': '475.2.bb.b.393.4', 'source_level': 475, 'target_conrey_index': 307, 'target_dim': 96, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4505455086797275, 'target_is_minimal': False, 'target_label': '475.2.bb.b.307.4', 'target_level': 475, 'twist_class_label': '95.2.r.a.3.4', 'twist_class_level': 95, 'twisting_char_label': '95.22', 'twisting_conrey_index': 22, 'weight': 2}
  • id: 38519715
    {'conductor': 95, 'degree': 6, 'order': 18, 'parity': -1, 'source_conrey_index': 393, 'source_dim': 96, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4505455086797275, 'source_is_minimal': False, 'source_label': '475.2.bb.b.393.4', 'source_level': 475, 'target_conrey_index': 3, 'target_dim': 96, 'target_embedding_index': 4, 'target_hecke_orbit_code': 1168264659039, 'target_is_minimal': True, 'target_label': '95.2.r.a.3.4', 'target_level': 95, 'twist_class_label': '95.2.r.a.3.4', 'twist_class_level': 95, 'twisting_char_label': '95.79', 'twisting_conrey_index': 79, 'weight': 2}
  • id: 38519716
    {'conductor': 285, 'degree': 12, 'order': 36, 'parity': -1, 'source_conrey_index': 393, 'source_dim': 96, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4505455086797275, 'source_is_minimal': False, 'source_label': '475.2.bb.b.393.4', 'source_level': 475, 'target_conrey_index': 307, 'target_dim': 96, 'target_embedding_index': 4, 'target_hecke_orbit_code': 6116066984791, 'target_is_minimal': False, 'target_label': '855.2.dl.a.307.4', 'target_level': 855, 'twist_class_label': '95.2.r.a.3.4', 'twist_class_level': 95, 'twisting_char_label': '285.98', 'twisting_conrey_index': 98, 'weight': 2}
  • id: 38519717
    {'conductor': 285, 'degree': 6, 'order': 18, 'parity': 1, 'source_conrey_index': 393, 'source_dim': 96, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4505455086797275, 'source_is_minimal': False, 'source_label': '475.2.bb.b.393.4', 'source_level': 475, 'target_conrey_index': 478, 'target_dim': 96, 'target_embedding_index': 5, 'target_hecke_orbit_code': 6116066984791, 'target_is_minimal': False, 'target_label': '855.2.dl.a.478.5', 'target_level': 855, 'twist_class_label': '95.2.r.a.3.4', 'twist_class_level': 95, 'twisting_char_label': '285.269', 'twisting_conrey_index': 269, 'weight': 2}
• hecke_orbit_code 4505455086797275 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': 28, 'hecke_orbit': 2, 'label': '475.2.bb.b', 'level': 475, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 25106731
    {'hecke_orbit_code': 4505455086797275, 'n': 1, 'trace_an': 96}
  • id: 25106732
    {'hecke_orbit_code': 4505455086797275, 'n': 2, 'trace_an': 12}
  • id: 25106733
    {'hecke_orbit_code': 4505455086797275, 'n': 3, 'trace_an': 12}
  • id: 25106734
    {'hecke_orbit_code': 4505455086797275, 'n': 4, 'trace_an': 0}
  • id: 25106735
    {'hecke_orbit_code': 4505455086797275, 'n': 5, 'trace_an': 0}
  • id: 25106736
    {'hecke_orbit_code': 4505455086797275, 'n': 6, 'trace_an': -12}
  • id: 25106737
    {'hecke_orbit_code': 4505455086797275, 'n': 7, 'trace_an': 0}
  • id: 25106738
    {'hecke_orbit_code': 4505455086797275, 'n': 8, 'trace_an': 18}
  • id: 25106739
    {'hecke_orbit_code': 4505455086797275, 'n': 9, 'trace_an': 0}
  • id: 25106740
    {'hecke_orbit_code': 4505455086797275, 'n': 10, 'trace_an': 0}
  • id: 25106741
    {'hecke_orbit_code': 4505455086797275, 'n': 11, 'trace_an': -12}
  • id: 25106742
    {'hecke_orbit_code': 4505455086797275, 'n': 12, 'trace_an': 18}
  • id: 25106743
    {'hecke_orbit_code': 4505455086797275, 'n': 13, 'trace_an': 12}
  • id: 25106744
    {'hecke_orbit_code': 4505455086797275, 'n': 14, 'trace_an': 0}
  • id: 25106745
    {'hecke_orbit_code': 4505455086797275, 'n': 15, 'trace_an': 0}
  • id: 25106746
    {'hecke_orbit_code': 4505455086797275, 'n': 16, 'trace_an': 12}
  • id: 25106747
    {'hecke_orbit_code': 4505455086797275, 'n': 17, 'trace_an': 30}
  • id: 25106748
    {'hecke_orbit_code': 4505455086797275, 'n': 18, 'trace_an': 0}
  • id: 25106749
    {'hecke_orbit_code': 4505455086797275, 'n': 19, 'trace_an': 0}
  • id: 25106750
    {'hecke_orbit_code': 4505455086797275, 'n': 20, 'trace_an': 0}
  • id: 25106751
    {'hecke_orbit_code': 4505455086797275, 'n': 21, 'trace_an': 24}
  • id: 25106752
    {'hecke_orbit_code': 4505455086797275, 'n': 22, 'trace_an': 24}
  • id: 25106753
    {'hecke_orbit_code': 4505455086797275, 'n': 23, 'trace_an': 0}
  • id: 25106754
    {'hecke_orbit_code': 4505455086797275, 'n': 24, 'trace_an': 0}
  • id: 25106755
    {'hecke_orbit_code': 4505455086797275, 'n': 25, 'trace_an': 0}
  • id: 25106756
    {'hecke_orbit_code': 4505455086797275, 'n': 26, 'trace_an': -48}
  • id: 25106757
    {'hecke_orbit_code': 4505455086797275, 'n': 27, 'trace_an': 18}
  • id: 25106758
    {'hecke_orbit_code': 4505455086797275, 'n': 28, 'trace_an': 0}
  • id: 25106759
    {'hecke_orbit_code': 4505455086797275, 'n': 29, 'trace_an': 0}
  • id: 25106760
    {'hecke_orbit_code': 4505455086797275, 'n': 30, 'trace_an': 0}
  • id: 25106761
    {'hecke_orbit_code': 4505455086797275, 'n': 31, 'trace_an': -36}
  • id: 25106762
    {'hecke_orbit_code': 4505455086797275, 'n': 32, 'trace_an': -18}
  • id: 25106763
    {'hecke_orbit_code': 4505455086797275, 'n': 33, 'trace_an': -90}
  • id: 25106764
    {'hecke_orbit_code': 4505455086797275, 'n': 34, 'trace_an': 0}
  • id: 25106765
    {'hecke_orbit_code': 4505455086797275, 'n': 35, 'trace_an': 0}
  • id: 25106766
    {'hecke_orbit_code': 4505455086797275, 'n': 36, 'trace_an': 24}
  • id: 25106767
    {'hecke_orbit_code': 4505455086797275, 'n': 37, 'trace_an': 0}
  • id: 25106768
    {'hecke_orbit_code': 4505455086797275, 'n': 38, 'trace_an': -54}
  • id: 25106769
    {'hecke_orbit_code': 4505455086797275, 'n': 39, 'trace_an': 0}
  • id: 25106770
    {'hecke_orbit_code': 4505455086797275, 'n': 40, 'trace_an': 0}
  • id: 25106771
    {'hecke_orbit_code': 4505455086797275, 'n': 41, 'trace_an': 12}
  • id: 25106772
    {'hecke_orbit_code': 4505455086797275, 'n': 42, 'trace_an': -24}
  • id: 25106773
    {'hecke_orbit_code': 4505455086797275, 'n': 43, 'trace_an': -48}
  • id: 25106774
    {'hecke_orbit_code': 4505455086797275, 'n': 44, 'trace_an': 0}
  • id: 25106775
    {'hecke_orbit_code': 4505455086797275, 'n': 45, 'trace_an': 0}
  • id: 25106776
    {'hecke_orbit_code': 4505455086797275, 'n': 46, 'trace_an': -36}
  • id: 25106777
    {'hecke_orbit_code': 4505455086797275, 'n': 47, 'trace_an': 24}
  • id: 25106778
    {'hecke_orbit_code': 4505455086797275, 'n': 48, 'trace_an': -60}
  • id: 25106779
    {'hecke_orbit_code': 4505455086797275, 'n': 49, 'trace_an': 0}
  • id: 25106780
    {'hecke_orbit_code': 4505455086797275, 'n': 50, 'trace_an': 0}
  • id: 25106781
    {'hecke_orbit_code': 4505455086797275, 'n': 51, 'trace_an': -96}
  • id: 25106782
    {'hecke_orbit_code': 4505455086797275, 'n': 52, 'trace_an': 0}
  • id: 25106783
    {'hecke_orbit_code': 4505455086797275, 'n': 53, 'trace_an': 30}
  • id: 25106784
    {'hecke_orbit_code': 4505455086797275, 'n': 54, 'trace_an': 0}
  • id: 25106785
    {'hecke_orbit_code': 4505455086797275, 'n': 55, 'trace_an': 0}
  • id: 25106786
    {'hecke_orbit_code': 4505455086797275, 'n': 56, 'trace_an': 0}
  • id: 25106787
    {'hecke_orbit_code': 4505455086797275, 'n': 57, 'trace_an': 66}
  • id: 25106788
    {'hecke_orbit_code': 4505455086797275, 'n': 58, 'trace_an': -120}
  • id: 25106789
    {'hecke_orbit_code': 4505455086797275, 'n': 59, 'trace_an': 0}
  • id: 25106790
    {'hecke_orbit_code': 4505455086797275, 'n': 60, 'trace_an': 0}
  • id: 25106791
    {'hecke_orbit_code': 4505455086797275, 'n': 61, 'trace_an': -48}
  • id: 25106792
    {'hecke_orbit_code': 4505455086797275, 'n': 62, 'trace_an': -60}
  • id: 25106793
    {'hecke_orbit_code': 4505455086797275, 'n': 63, 'trace_an': 126}
  • id: 25106794
    {'hecke_orbit_code': 4505455086797275, 'n': 64, 'trace_an': 0}
  • id: 25106795
    {'hecke_orbit_code': 4505455086797275, 'n': 65, 'trace_an': 0}
  • id: 25106796
    {'hecke_orbit_code': 4505455086797275, 'n': 66, 'trace_an': 72}
  • id: 25106797
    {'hecke_orbit_code': 4505455086797275, 'n': 67, 'trace_an': -108}
  • id: 25106798
    {'hecke_orbit_code': 4505455086797275, 'n': 68, 'trace_an': -18}
  • id: 25106799
    {'hecke_orbit_code': 4505455086797275, 'n': 69, 'trace_an': 0}
  • id: 25106800
    {'hecke_orbit_code': 4505455086797275, 'n': 70, 'trace_an': 0}
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  • id: 25106927
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  • id: 25106928
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  • id: 25106934
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  • id: 25106938
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  • id: 25106939
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  • id: 25106940
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  • id: 25106942
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  • id: 25106943
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  • id: 25106946
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