Embedded newform data - 285.10.a.f.1.8

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• 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': 28500, 'analytic_conductor': 146.78521330670384, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, 1], [19, -1]], 'atkin_lehner_string': '++-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [285, 1, [191, 172, 211], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 14, 'field_disc': 30125536241722138650805191763000988441812767309631337510642920384496522894306131839371528498392111906816000, 'field_disc_factorization': [[2, 20], [5, 3], [7, 1], [19, 1], [67, 1], [293, 1], [839, 1], [10253, 1], [675558145955395014682618995063626213477, 1], [15147994632559375280231472635315438119168744379, 1]], 'field_poly': [-480881506516992, -9924122935296, 12984029397983232, 3954911489638400, -831531966469120, -15731969979520, 4820661863456, 24552331696, -10608934432, -19024208, 10970098, 7107, -5365, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-480881506516992, 9924122935296, 12984029397983232, -3954911489638400, -831531966469120, 15731969979520, 4820661863456, -24552331696, -10608934432, 19024208, 10970098, -7107, -5365, 1, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22517998304624925, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 42998169600, 'hecke_ring_index_factorization': [[2, 18], [3, 8], [5, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '285.10.a.f', 'level': 285, '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': True, 'level_primes': [3, 5, 19], 'level_radical': 285, 'minimal_twist': '285.10.a.f', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{1}q^{2}-3^{4}q^{3}+(255-\\beta _{1}+\\beta _{2}+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 14, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '285.10.a', 'trace_display': [-1, -1134, -8750, 13054], 'trace_hash': 2296044731643752929, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.220', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.387', 'prec': 20}, {'__RealLiteral__': 0, 'data': '8.188', 'prec': 17}, {'__RealLiteral__': 0, 'data': '310.945', 'prec': 24}, {'__RealLiteral__': 0, 'data': '383.005', 'prec': 24}, {'__RealLiteral__': 0, 'data': '14915.846', 'prec': 30}], 'trace_zratio': 0, 'traces': [14, -1, -1134, 3563, -8750, 81, 13054, 6249, 91854, 625, 43520, -288603, 256834, 250610, 708750, 866291, -91412, -6561, 1824494, -2226875, -1057374, 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• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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[-0.07142206114975445, 0.0], [0.0011029708721350757, 0.0], [-0.023419282326470642, 0.0], [0.35291587343301395, 0.0], [-2.621856077540495, 0.0], [-0.0025525254576388304, 0.0], [-0.09872899047201053, 0.0], [0.006837038825427519, 0.0], [-0.8156376388611882, 0.0], [-0.013701320224325578, 0.0], [1.1553290806838394, 0.0], [-0.09231613102070002, 0.0], [0.1652086070557634, 0.0], [-0.007442593266487226, 0.0], [0.38929770727348495, 0.0], [0.042844064421511216, 0.0], [-0.7650637798622607, 0.0], [-0.0005631265076967316, 0.0], [0.5500199276006915, 0.0], [0.4822665701469291, 0.0], [0.9969949239623046, 0.0], [-0.004287835767105555, 0.0], [0.05868872426093954, 0.0], [-0.010666542985663842, 0.0], [-0.4515484512330166, 0.0], [0.008141050511502877, 0.0], [0.8710955576002121, 0.0], [-0.59424589976679, 0.0], [0.6551779744565778, 0.0], [-0.002105005824238312, 0.0], [-0.07523820125279466, 0.0], [-1.3181930186586421, 0.0], [0.15863961677324726, 0.0], [-0.0012876125913215655, 0.0], [-1.1556644294321816, 0.0], [0.9148687324212282, 0.0], [-2.858319804731653, 0.0], [0.0004023079026931184, 0.0], [-0.1942279489880603, 0.0], [-0.048892675325582495, 0.0], [-1.474290552650734, 0.0], [-0.004465462118370192, 0.0], [-0.7834327940062508, 0.0], [1.3789132667359156, 0.0], [0.081590765516979, 0.0], [0.0055803005374603564, 0.0], [-1.245126958755365, 0.0], [-0.25807979611691984, 0.0], [-0.9381282408322791, 0.0], [0.013217043375776253, 0.0], [0.021111211351401215, 0.0], [-1.966672424443396, 0.0], [-0.0111575459522729, 0.0], [-0.008135001851044174, 0.0], [-1.2127178694960563, 0.0], [0.017403541836880917, 0.0], [-0.20035914418717748, 0.0], [0.004337191629990405, 0.0], [-1.3698508551765471, 0.0], [0.06414509808561249, 0.0], [-0.9601810097730731, 0.0], [-0.00499764156973966, 0.0], [-0.21071509159266202, 0.0], [-0.09068157147130629, 0.0], [0.3815361983697939, 0.0], [-0.004830011299694384, 0.0], [-0.030365533334033367, 0.0], [1.0721037947978675, 0.0], [-0.08995589672545538, 0.0], [-0.010430498009313947, 0.0], 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-0.34326658335758375, -0.11432313954809413, -0.1507538772681038, -0.2449592268281077, -0.2715410958037278, -0.21939269416100887, -0.24619795716661566, -0.37592716193391684, -0.304834201344184, -0.2919374577730621, -0.19151437971957355, -0.12224607238800025, -0.21666669356124785, -0.1708511376105597, -0.4434374268317902, -0.22066777931755902, -0.20460440010743158, -0.3827173413265169, -0.08013276859363672, -0.24801456768305008, -0.38924055306944033, -0.3373542868997064, -0.28098488775418357, -0.35894856596318914, -0.33115579946779666, -0.278234171983314, -0.2887625887578712, -0.3710869593114717, -0.02902931085385889, -0.33264264509663183, -0.21603817041861106, -0.11108788327981925, -0.40340843575392465, -0.26276698108922764, -0.2763075882111904, -0.2432505733383731, -0.24311581717623543, -0.2336854210503085, -0.12516734065258595, -0.4158419711598432, -0.3860338189287164, -0.22310125527043467, -0.23513671327942476, -0.384411041034681, -0.34205662690545957, -0.2739374873034282, 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-0.1948890126719765, -0.24349698398451242, -0.0960477570126974, -0.10124635241384719, -0.13987833027869623, -0.3290754873725129, -0.17990150089603021, -0.3331619213488377, -0.10357619855658651, -0.3779194979413903, -0.18664773280561484, -0.37503677105953587, -0.10399938344353887, -0.2934872725782305, -0.24354417746011245, -0.27788166614296317, -0.17681803653357459, -0.16853926406413386, -0.18872261710463792, -0.32853695758237067, -0.3489852091517524, -0.2526819837101974, -0.10396759014515625, -0.2659499223849127, -0.16794996542804108, -0.21771658349321885, -0.17611136503040734, -0.23290620266051063, -0.23184418782395502, -0.2510178337311277, -0.1708918117159768, -0.33025504087301094, -0.1383650633984649, -0.16796478771213497, -0.22904029538687606, -0.23508500265430285, -0.09842552068752493, -0.18667921627361786, -0.34805894801931525, -0.3052457939137973, -0.257859797832669, -0.3124738949642011, -0.28624558216716756, -0.19688193889920297, -0.34805060047243225, -0.3819133370697453, -0.353685259231461, -0.370082618705521, -0.21945107507245815, -0.14075768178705125, -0.32291220133641224, -0.38477332988718693], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 8, 'dual_embedding_m': 8, 'embedding_index': 8, 'embedding_m': 8, 'embedding_root_imag': 0.0, 'embedding_root_real': -0.19839939750932317, 'hecke_orbit': 6, 'hecke_orbit_code': 22517998304624925, 'label': '285.10.a.f.1.8', 'level': 285, 'weight': 10}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [13, 14, 15, 12, 14, 13, 12, 15], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [1, 1, 1, 1, 1, 1, 1, 1], 'ALdims_old': [28, 33, 33, 30, 30, 33, 33, 28], 'Nk2': 28500, 'analytic_conductor': 146.78521330670384, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [285, 1, [191, 172, 211], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 356, 'dim': 108, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 167772445, 'hecke_orbit_dims': [1, 12, 12, 12, 13, 14, 14, 15, 15], 'label': '285.10.a', 'level': 285, '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': True, 'level_primes': [3, 5, 19], 'level_radical': 285, 'mf_dim': 364, 'mf_new_dim': 108, 'num_forms': 9, 'plus_dim': 50, 'prim_orbit_index': 1, 'relative_dim': 108, 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• 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

  
  {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 14, 'source_embedding_index': 8, 'source_hecke_orbit_code': 22517998304624925, 'source_is_minimal': True, 'source_label': '285.10.a.f.1.8', 'source_level': 285, 'target_conrey_index': 1, 'target_dim': 14, 'target_embedding_index': 8, 'target_hecke_orbit_code': 22517998304624925, 'target_is_minimal': True, 'target_label': '285.10.a.f.1.8', 'target_level': 285, 'twist_class_label': '285.10.a.f.1.8', 'twist_class_level': 285, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 641975
    {'charpoly_factorization': [[[-480881506516992, 9924122935296, 12984029397983232, -3954911489638400, -831531966469120, 15731969979520, 4820661863456, -24552331696, -10608934432, 19024208, 10970098, -7107, -5365, 1, 1], 1]], 'hecke_orbit_code': 22517998304624925, 'p': 2}
  • id: 641976
    {'charpoly_factorization': [[[81, 1], 14]], 'hecke_orbit_code': 22517998304624925, 'p': 3}
  • id: 641977
    {'charpoly_factorization': [[[625, 1], 14]], 'hecke_orbit_code': 22517998304624925, 'p': 5}
  • id: 641978
    {'charpoly_factorization': [[[-28868071718963794470487402961161456918653554243584, -2860649720792816147460816758630382482708782225664, 893912145294334282608515317751682597839725440, 3012047787297313550526138258124514925169600, -237363894718222228050992399876962121632, -343420258686374660415444492174765536, 22829628426233701954741232451792, 15701041998857491589034532832, -1039436160837945226584432, -343688284041754840576, 23791643572917264, 3516180228300, -257575946, -13054, 1], 1]], 'hecke_orbit_code': 22517998304624925, 'p': 7}
  • id: 641979
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  • id: 641980
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  • id: 641981
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  • id: 641982
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  • id: 641983
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  • id: 641984
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  • id: 641985
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  • id: 641986
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  • id: 641987
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  • id: 641988
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  • id: 641989
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  • id: 641990
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  • id: 641991
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  • id: 641992
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  • id: 641993
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  • id: 641994
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  • id: 641995
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  • id: 641996
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  • id: 641997
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  • id: 641998
    {'charpoly_factorization': [[[5929730052752236498965740268221511960639847809416504694114504330611781661259948279689267368203090914387381921416000000000, 151170501936413746574482820467214589750029852243814132468199482874173616992787708189920957866057222072940360000000, -3757038495884419202659888808735800878920077120193667817523610666380073247100989620662746859949235738800000, -6745389131033935133547437879097484097907421474660043235341003843323649981145129223357691116032000, 104475486912245678609836776636874318064053155047731251914628779846054281795482287186015200, 160695651562824788988205757009995737829376158644124847299019640718429843802192000, -721852158989494656526615716846088002423340123591020644970042193520072240, -1289642189781544506787155199128160449271490322054276020925163968, 1711615748390339430937339111074849486132341938018777104, 4050531136915393659943380916882985041445593856, -759263000915734564164347405589415168, -4967407432286595030035285136, -1377944746074372162, 2005727664, 1], 1]], 'hecke_orbit_code': 22517998304624925, 'p': 89}
  • id: 641999
    {'charpoly_factorization': [[[1336496279513287042699493589019029577898706608638798675610105717800173341117620342364853629816188081316463512381118640370688, -12269243962675428487767933957751582689498974551505249395319494690009676304795752067341955715685431475107171402609920, -45158894096812733661805170115194978305242619828658992958368872750465918844489756258679765151166779477726848, 425782582302273336406903040514918963084283543375091431547870318802333729596326088468467646146619328, 29591744016988336542312122562539390018622176380135249829305376658698307108656639513064864, -2748176603023489373065905164706899382068529380464532449198067278855760455613619680, 1105188143132539241881515028350500386638583816534713156573047036145394512, 7435180775660916211432855295917933446609982399217335408391832160, -4150958482415400176761220309709933710276022604245078288, -9880304846123156208024763040877182041836910784, 6088643144796872479673744879684526608, 6387922663960762681851265644, -4027200310081918118, -1606885598, 1], 1]], 'hecke_orbit_code': 22517998304624925, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 6, 'label': '285.10.a.f', 'level': 285, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 43906675
    {'hecke_orbit_code': 22517998304624925, 'n': 1, 'trace_an': 14}
  • id: 43906676
    {'hecke_orbit_code': 22517998304624925, 'n': 2, 'trace_an': -1}
  • id: 43906677
    {'hecke_orbit_code': 22517998304624925, 'n': 3, 'trace_an': -1134}
  • id: 43906678
    {'hecke_orbit_code': 22517998304624925, 'n': 4, 'trace_an': 3563}
  • id: 43906679
    {'hecke_orbit_code': 22517998304624925, 'n': 5, 'trace_an': -8750}
  • id: 43906680
    {'hecke_orbit_code': 22517998304624925, 'n': 6, 'trace_an': 81}
  • id: 43906681
    {'hecke_orbit_code': 22517998304624925, 'n': 7, 'trace_an': 13054}
  • id: 43906682
    {'hecke_orbit_code': 22517998304624925, 'n': 8, 'trace_an': 6249}
  • id: 43906683
    {'hecke_orbit_code': 22517998304624925, 'n': 9, 'trace_an': 91854}
  • id: 43906684
    {'hecke_orbit_code': 22517998304624925, 'n': 10, 'trace_an': 625}
  • id: 43906685
    {'hecke_orbit_code': 22517998304624925, 'n': 11, 'trace_an': 43520}
  • id: 43906686
    {'hecke_orbit_code': 22517998304624925, 'n': 12, 'trace_an': -288603}
  • id: 43906687
    {'hecke_orbit_code': 22517998304624925, 'n': 13, 'trace_an': 256834}
  • id: 43906688
    {'hecke_orbit_code': 22517998304624925, 'n': 14, 'trace_an': 250610}
  • id: 43906689
    {'hecke_orbit_code': 22517998304624925, 'n': 15, 'trace_an': 708750}
  • id: 43906690
    {'hecke_orbit_code': 22517998304624925, 'n': 16, 'trace_an': 866291}
  • id: 43906691
    {'hecke_orbit_code': 22517998304624925, 'n': 17, 'trace_an': -91412}
  • id: 43906692
    {'hecke_orbit_code': 22517998304624925, 'n': 18, 'trace_an': -6561}
  • id: 43906693
    {'hecke_orbit_code': 22517998304624925, 'n': 19, 'trace_an': 1824494}
  • id: 43906694
    {'hecke_orbit_code': 22517998304624925, 'n': 20, 'trace_an': -2226875}
  • id: 43906695
    {'hecke_orbit_code': 22517998304624925, 'n': 21, 'trace_an': -1057374}
  • id: 43906696
    {'hecke_orbit_code': 22517998304624925, 'n': 22, 'trace_an': 5028672}
  • id: 43906697
    {'hecke_orbit_code': 22517998304624925, 'n': 23, 'trace_an': -1629286}
  • id: 43906698
    {'hecke_orbit_code': 22517998304624925, 'n': 24, 'trace_an': -506169}
  • id: 43906699
    {'hecke_orbit_code': 22517998304624925, 'n': 25, 'trace_an': 5468750}
  • id: 43906700
    {'hecke_orbit_code': 22517998304624925, 'n': 26, 'trace_an': -5525738}
  • id: 43906701
    {'hecke_orbit_code': 22517998304624925, 'n': 27, 'trace_an': -7440174}
  • id: 43906702
    {'hecke_orbit_code': 22517998304624925, 'n': 28, 'trace_an': 2214066}
  • id: 43906703
    {'hecke_orbit_code': 22517998304624925, 'n': 29, 'trace_an': -3136160}
  • id: 43906704
    {'hecke_orbit_code': 22517998304624925, 'n': 30, 'trace_an': -50625}
  • id: 43906705
    {'hecke_orbit_code': 22517998304624925, 'n': 31, 'trace_an': 216848}
  • id: 43906706
    {'hecke_orbit_code': 22517998304624925, 'n': 32, 'trace_an': -5019923}
  • id: 43906707
    {'hecke_orbit_code': 22517998304624925, 'n': 33, 'trace_an': -3525120}
  • id: 43906708
    {'hecke_orbit_code': 22517998304624925, 'n': 34, 'trace_an': 14499560}
  • id: 43906709
    {'hecke_orbit_code': 22517998304624925, 'n': 35, 'trace_an': -8158750}
  • id: 43906710
    {'hecke_orbit_code': 22517998304624925, 'n': 36, 'trace_an': 23376843}
  • id: 43906711
    {'hecke_orbit_code': 22517998304624925, 'n': 37, 'trace_an': 29450026}
  • id: 43906712
    {'hecke_orbit_code': 22517998304624925, 'n': 38, 'trace_an': -130321}
  • id: 43906713
    {'hecke_orbit_code': 22517998304624925, 'n': 39, 'trace_an': -20803554}
  • id: 43906714
    {'hecke_orbit_code': 22517998304624925, 'n': 40, 'trace_an': -3905625}
  • id: 43906715
    {'hecke_orbit_code': 22517998304624925, 'n': 41, 'trace_an': -18243760}
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  • id: 43906901
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  • id: 43906902
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  • id: 43906903
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  • id: 43906904
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  • id: 43906905
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  • id: 43906906
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  • id: 43906907
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  • id: 43906908
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  • id: 43906909
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  • id: 43906910
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  • id: 43906911
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  • id: 43906912
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  • id: 43906913
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  • id: 43906914
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  • id: 43906915
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  • id: 43906916
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  • id: 43906917
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  • id: 43906918
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  • id: 43906919
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  • id: 43906920
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  • id: 43906921
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  • id: 43906922
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  • id: 43906923
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  • id: 43906924
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  • id: 43906925
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  • id: 43906926
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  • id: 43906927
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  • id: 43906928
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  • id: 43906929
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  • id: 43906930
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  • id: 43906931
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  • id: 43906932
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