Embedded newform data - 338.10.a.l.1.3

Formats: - HTML - YAML - JSON - 2025-09-22T14:30:07.786712

• 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': 33800, 'analytic_conductor': 174.08211262338912, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [13, 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': [338, 1, [171], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 6, 'field_disc': 44174526020540958685744474866325, 'field_disc_factorization': [[5, 2], [7, 1], [29, 1], [71, 1], [463, 1], [3956651, 1], [66921977780817437, 1]], 'field_poly': [-16723086000, 68900300, 25702990, -44865, -10375, -3, 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': [[3, [-11480361984000, -77125089600, 1901830590, 6766605, -90675, -81, 1]], [5, [2942965269068869800, -12734503194751380, 5531891086994, 10171826233, -5770035, -1693, 1]]], 'hecke_orbit': 12, 'hecke_orbit_code': 49539596068847954, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 67392, 'hecke_ring_index_factorization': [[2, 6], [3, 4], [13, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '338.10.a.l', 'level': 338, '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, 13], 'level_radical': 26, 'minimal_twist': '26.10.c.b', 'prim_orbit_index': 1, 'qexp_display': 'q+2^{4}q^{2}+(14-\\beta _{1})q^{3}+2^{8}q^{4}+(281+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '338.10.a', 'trace_display': [96, 81, 1693, 473], 'trace_hash': 875536103608650221, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.084', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.397', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.045', 'prec': 17}, {'__RealLiteral__': 0, 'data': '84.041', 'prec': 20}, {'__RealLiteral__': 0, 'data': '65.867', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2075.352', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [6, 96, 81, 1536, 1693, 1296, 473, 24576, 69813, 27088, 14011, 20736, 0, 7568, -294780, 393216, -173558, 1117008, 322367, 433408, 2256885, 224176, -1644771, 331776, 2687569, 0, -922995, 121088, 10801236, -4716480, 10435122, 6291456, 26201763, -2776928, 2168950, 17872128, -15710464, 5157872, 0, 6934528, -1525478, 36110160, 50959661, 3586816, 18619731, -26316336, 68156998, 5308416, 162536361, 43001104, -84678981, 0, 72278209, -14767920, -353372330, 1937408, 17951025, 172819776, 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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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0.0]], 'angles': [None, -0.2948450676024426, -0.329500391543787, -0.251655858155843, -0.2901784388621307, None, -0.3564803640876198, -0.4073809235941015, -0.19097540491357645, -0.31546590640099026, -0.2097128462055378, -0.3291265333122701, -0.1959005952740503, -0.3291386249451097, -0.31608871178894515, -0.19733340617279427, -0.21997705365754983, -0.3807200713715029, -0.21713350046924268, -0.20681429367662238, -0.29996535978573524, -0.23580599996714116, -0.34424973721308794, -0.27583470019250406, -0.25978002090140256, -0.13621149186569814, -0.08380004165846179, -0.09376987340033854, -0.24630183920189977, -0.3915904449223734, -0.40246605721045053, -0.2553244491797582, -0.12361564411129826, -0.154166496794518, -0.3055412031806931, -0.3019658145539739, -0.11955895724188208, -0.11486760414451007, -0.18824960879415897, -0.28112126790102876, -0.23258721612603833, -0.30246585800609027, -0.2721034550244198, -0.19234918041302762, -0.2593158973972516, -0.028445271887542617, -0.3147832286911786, 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-0.2535322980339334, -0.26267005554508893, -0.10091606884671567, -0.20358526950104988, -0.23015449923128256, -0.21994815358018574, -0.13014063867865655, -0.17415662821599603, -0.03860102926058054, -0.19199789613160967, -0.1966990203300291, -0.2668545321504784, -0.3332320068300598, -0.3420742901184388, -0.17423581130299173, -0.36257118914480674, -0.21793567842000008, -0.11644047314743143, -0.22253560242304357, -0.1808079273914565, -0.14059222307716523, -0.21071458197707796, -0.25927679610025867, -0.1776362061141853, -0.12209007306509878, -0.1829765771633053, -0.300005463064846, -0.17088196841575054, -0.2581091310217331], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': 31.006799212976887, 'hecke_orbit': 12, 'hecke_orbit_code': 49539596068847954, 'label': '338.10.a.l.1.3', 'level': 338, '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': [28, 30, 31, 27], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [7, 7, 7, 7], 'ALdims_old': [68, 71, 69, 71], 'Nk2': 33800, 'analytic_conductor': 174.08211262338912, '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': [338, 1, [171], [1]], 'conrey_index': 1, 'cusp_dim': 395, 'dim': 116, 'eis_dim': 28, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 167772498, 'hecke_orbit_dims': [1, 1, 1, 1, 3, 3, 5, 5, 5, 5, 6, 6, 10, 10, 12, 12, 15, 15], 'label': '338.10.a', 'level': 338, '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, 13], 'level_radical': 26, 'mf_dim': 423, 'mf_new_dim': 116, 'num_forms': 18, 'plus_dim': 55, 'prim_orbit_index': 1, 'relative_dim': 116, 'sturm_bound': 455, 'trace_bound': 5, 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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

  
  
  • id: 47368800
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 49539596068847954, 'source_is_minimal': False, 'source_label': '338.10.a.l.1.3', 'source_level': 338, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 49539596068847954, 'target_is_minimal': False, 'target_label': '338.10.a.l.1.3', 'target_level': 338, 'twist_class_label': '26.10.c.b.3.4', 'twist_class_level': 26, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 47368801
    {'conductor': 13, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 49539596068847954, 'source_is_minimal': False, 'source_label': '338.10.a.l.1.3', 'source_level': 338, 'target_conrey_index': 9, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4503737234096154, 'target_is_minimal': True, 'target_label': '26.10.c.b.9.4', 'target_level': 26, 'twist_class_label': '26.10.c.b.3.4', 'twist_class_level': 26, 'twisting_char_label': '13.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 47368802
    {'conductor': 13, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 49539596068847954, 'source_is_minimal': False, 'source_label': '338.10.a.l.1.3', 'source_level': 338, 'target_conrey_index': 3, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4503737234096154, 'target_is_minimal': True, 'target_label': '26.10.c.b.3.4', 'target_level': 26, 'twist_class_label': '26.10.c.b.3.4', 'twist_class_level': 26, 'twisting_char_label': '13.9', 'twisting_conrey_index': 9, 'weight': 10}
  • id: 47368803
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 49539596068847954, 'source_is_minimal': False, 'source_label': '338.10.a.l.1.3', 'source_level': 338, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 45035996441477458, 'target_is_minimal': False, 'target_label': '338.10.a.k.1.3', 'target_level': 338, 'twist_class_label': '26.10.c.b.3.4', 'twist_class_level': 26, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 738650
    {'charpoly_factorization': [[[-16, 1], 6]], 'hecke_orbit_code': 49539596068847954, 'p': 2}
  • id: 738651
    {'charpoly_factorization': [[[-11480361984000, -77125089600, 1901830590, 6766605, -90675, -81, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 3}
  • id: 738652
    {'charpoly_factorization': [[[2942965269068869800, -12734503194751380, 5531891086994, 10171826233, -5770035, -1693, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 5}
  • id: 738653
    {'charpoly_factorization': [[[-381100859171535554240, -1702182955568122832, 8937177007457468, -9062873603, -202217137, -473, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 7}
  • id: 738654
    {'charpoly_factorization': [[[-11485570997032360090116793344, 168152109661163988467184, 33665800349043000472, 42918807661583, -11420167173, -14011, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 11}
  • id: 738655
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 49539596068847954, 'p': 13}
  • id: 738656
    {'charpoly_factorization': [[[18678553449448586438314468728369, -1510487252537828169448002762, 21232374953952462418287, -15214459034793996, -280249579137, 173558, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 17}
  • id: 738657
    {'charpoly_factorization': [[[3192951073057547401401776013312000, -57982699667127108789441676800, 212053195474426780861230, 382753113401961755, -1110640378075, -322367, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 19}
  • id: 738658
    {'charpoly_factorization': [[[171803344169187882578014804552456224, 5742268426066312782346142176704, 5056265779337404386753570, -8325714296844983375, -5760495722895, 1644771, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 23}
  • id: 738659
    {'charpoly_factorization': [[[-68215529038655740277001013722305421849, 291849241657017472873345688662404, -314225965400635261658757813, 68955038635729196368, 25458316645197, -10801236, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 29}
  • id: 738660
    {'charpoly_factorization': [[[111885147187348477528324721667468492800, 138770534863284524416150578008064, -338683783788589692410112768, 126427832806005944928, 11546932397712, -10435122, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 31}
  • id: 738661
    {'charpoly_factorization': [[[602394608017181693241226859199128829486963, 196771821373398143585607628161559752, 79953407017791657787578915, -4064132252662233357640, -211879948159255, 15710464, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 37}
  • id: 738662
    {'charpoly_factorization': [[[606687568403400607255962751677220880000625, -311685744999438427885040121069621978, 28122147151517232346808623023, 5025063229791710812308, -624819460585857, 1525478, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 41}
  • id: 738663
    {'charpoly_factorization': [[[2175111100112736518691368039928571093810432, 223962306798997052068267269449634688, -284656800282266024713408228540, 23095415045184094736305, 167330849492375, -50959661, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 43}
  • id: 738664
    {'charpoly_factorization': [[[42857378057356903800425870213059802779582464, -501165570960650585263577482711461888, -793041065860313035942897123328, 49702113140205725087936, 255547359173688, -68156998, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 47}
  • id: 738665
    {'charpoly_factorization': [[[-582069070565696167566674959203172962640491096, -138356252229673385521301144982203864676, 4919781711481387358812380909090, 210111325582737903031125, -4895136630470235, -72278209, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 53}
  • id: 738666
    {'charpoly_factorization': [[[17439943631950896771715620653823120103823944704, -1236985578788047802942573003062301329776, 7786504064593520628645754067800, 957727196388165326290105, -17907022617616125, 5665291, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 59}
  • id: 738667
    {'charpoly_factorization': [[[-24354258253467252300621533431628823024626001065, 4078165761677450175954027209230178203084, -130858160081304390892331475927157, -1236911245940175616751936, 29357576630384477, 353387956, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 61}
  • id: 738668
    {'charpoly_factorization': [[[20108061422521304539494107723868651652577572992416, -331901858421463893851781650525190776138304, -1051217535374326591569691216683630, 27807266939700236274599445, -48932214890883015, -371115369, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 67}
  • id: 738669
    {'charpoly_factorization': [[[-4602227415290206946833052453977931543444487505536, -96712479563600558227392137007540402061728, 1111826468712743325275219098376222, 10273204948167253060090391, -78614125092410667, -156688763, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 71}
  • id: 738670
    {'charpoly_factorization': [[[27436926548665862564481549322815955201700945178280, -2026543363072780873295349205990115506034604, 757397009676811114328305028918562, 91001485554664058119759127, -175411910902503903, -466401663, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 73}
  • id: 738671
    {'charpoly_factorization': [[[-144496308475151104328571304893929659056797560094720, 959339452623084564821213096054909996734464, 22446148070429115843264266117372160, 18741095968358927068144640, -299485832902633440, -162543480, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 79}
  • id: 738672
    {'charpoly_factorization': [[[-971644677037886228406023184964683554418484838400000, 6265878799261445147114242271182369677312000, 36136651003395677548427073453477120, -113627387548993379592418560, -339855257929978080, 435114576, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 83}
  • id: 738673
    {'charpoly_factorization': [[[-1885688371743042727989542334821643741419487026823384, 3301534902667301355383845745805186429205332, 93084453764321273711632969439636754, 953765292188318523306831, -727033600257997071, -163315063, 1], 1]], 'hecke_orbit_code': 49539596068847954, 'p': 89}
  • id: 738674
    {'charpoly_factorization': [[[7914094603923328999368790894150423515503890752420296, 65549613733280079924311052973090799151492116, -174887023756797975305034817534749446, -944092369207701761495819673, -217309469177314999, 1500514705, 1], 1]], 'hecke_orbit_code': 49539596068847954, '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': 12, 'label': '338.10.a.l', 'level': 338, 'portrait': 'data:image/png;base64,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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 56784745
    {'hecke_orbit_code': 49539596068847954, 'n': 1, 'trace_an': 6}
  • id: 56784746
    {'hecke_orbit_code': 49539596068847954, 'n': 2, 'trace_an': 96}
  • id: 56784747
    {'hecke_orbit_code': 49539596068847954, 'n': 3, 'trace_an': 81}
  • id: 56784748
    {'hecke_orbit_code': 49539596068847954, 'n': 4, 'trace_an': 1536}
  • id: 56784749
    {'hecke_orbit_code': 49539596068847954, 'n': 5, 'trace_an': 1693}
  • id: 56784750
    {'hecke_orbit_code': 49539596068847954, 'n': 6, 'trace_an': 1296}
  • id: 56784751
    {'hecke_orbit_code': 49539596068847954, 'n': 7, 'trace_an': 473}
  • id: 56784752
    {'hecke_orbit_code': 49539596068847954, 'n': 8, 'trace_an': 24576}
  • id: 56784753
    {'hecke_orbit_code': 49539596068847954, 'n': 9, 'trace_an': 69813}
  • id: 56784754
    {'hecke_orbit_code': 49539596068847954, 'n': 10, 'trace_an': 27088}
  • id: 56784755
    {'hecke_orbit_code': 49539596068847954, 'n': 11, 'trace_an': 14011}
  • id: 56784756
    {'hecke_orbit_code': 49539596068847954, 'n': 12, 'trace_an': 20736}
  • id: 56784757
    {'hecke_orbit_code': 49539596068847954, 'n': 13, 'trace_an': 0}
  • id: 56784758
    {'hecke_orbit_code': 49539596068847954, 'n': 14, 'trace_an': 7568}
  • id: 56784759
    {'hecke_orbit_code': 49539596068847954, 'n': 15, 'trace_an': -294780}
  • id: 56784760
    {'hecke_orbit_code': 49539596068847954, 'n': 16, 'trace_an': 393216}
  • id: 56784761
    {'hecke_orbit_code': 49539596068847954, 'n': 17, 'trace_an': -173558}
  • id: 56784762
    {'hecke_orbit_code': 49539596068847954, 'n': 18, 'trace_an': 1117008}
  • id: 56784763
    {'hecke_orbit_code': 49539596068847954, 'n': 19, 'trace_an': 322367}
  • id: 56784764
    {'hecke_orbit_code': 49539596068847954, 'n': 20, 'trace_an': 433408}
  • id: 56784765
    {'hecke_orbit_code': 49539596068847954, 'n': 21, 'trace_an': 2256885}
  • id: 56784766
    {'hecke_orbit_code': 49539596068847954, 'n': 22, 'trace_an': 224176}
  • id: 56784767
    {'hecke_orbit_code': 49539596068847954, 'n': 23, 'trace_an': -1644771}
  • id: 56784768
    {'hecke_orbit_code': 49539596068847954, 'n': 24, 'trace_an': 331776}
  • id: 56784769
    {'hecke_orbit_code': 49539596068847954, 'n': 25, 'trace_an': 2687569}
  • id: 56784770
    {'hecke_orbit_code': 49539596068847954, 'n': 26, 'trace_an': 0}
  • id: 56784771
    {'hecke_orbit_code': 49539596068847954, 'n': 27, 'trace_an': -922995}
  • id: 56784772
    {'hecke_orbit_code': 49539596068847954, 'n': 28, 'trace_an': 121088}
  • id: 56784773
    {'hecke_orbit_code': 49539596068847954, 'n': 29, 'trace_an': 10801236}
  • id: 56784774
    {'hecke_orbit_code': 49539596068847954, 'n': 30, 'trace_an': -4716480}
  • id: 56784775
    {'hecke_orbit_code': 49539596068847954, 'n': 31, 'trace_an': 10435122}
  • id: 56784776
    {'hecke_orbit_code': 49539596068847954, 'n': 32, 'trace_an': 6291456}
  • id: 56784777
    {'hecke_orbit_code': 49539596068847954, 'n': 33, 'trace_an': 26201763}
  • id: 56784778
    {'hecke_orbit_code': 49539596068847954, 'n': 34, 'trace_an': -2776928}
  • id: 56784779
    {'hecke_orbit_code': 49539596068847954, 'n': 35, 'trace_an': 2168950}
  • id: 56784780
    {'hecke_orbit_code': 49539596068847954, 'n': 36, 'trace_an': 17872128}
  • id: 56784781
    {'hecke_orbit_code': 49539596068847954, 'n': 37, 'trace_an': -15710464}
  • id: 56784782
    {'hecke_orbit_code': 49539596068847954, 'n': 38, 'trace_an': 5157872}
  • id: 56784783
    {'hecke_orbit_code': 49539596068847954, 'n': 39, 'trace_an': 0}
  • id: 56784784
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  • id: 56785001
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  • id: 56785002
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