Embedded newform data - 378.8.a.p.1.2

Formats: - HTML - YAML - JSON - 2024-05-18T01:21:19.345511

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 24192, 'analytic_conductor': 118.08153963299803, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 1], [7, 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': [378, 1, [29, 325], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 4, 'field_disc': 11169310074505, 'field_disc_factorization': [[5, 1], [11, 1], [67, 1], [7309, 1], [414697, 1]], 'field_poly': [526930, -71519, -4051, -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': [[5, [744100000, 5117900, -164145, -100, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994544775546, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 2916, 'hecke_ring_index_factorization': [[2, 2], [3, 6]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '378.8.a.p', 'level': 378, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '378.8.a.p', 'prim_orbit_index': 1, 'qexp_display': 'q-8q^{2}+2^{6}q^{4}+(5^{2}+\\beta _{1})q^{5}-7^{3}q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '378.8.a', 'trace_display': [-32, 0, 100, -1372], 'trace_hash': 1681069754716464759, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.025', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.845', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.970', 'prec': 17}, {'__RealLiteral__': 0, 'data': '40.465', 'prec': 20}, {'__RealLiteral__': 0, 'data': '27.631', 'prec': 20}, {'__RealLiteral__': 0, 'data': '649.803', 'prec': 24}], 'trace_zratio': 0, 'traces': [4, -32, 0, 256, 100, 0, -1372, -2048, 0, -800, 6446, 0, 6594, 10976, 0, 16384, 22184, 0, -15730, 6400, 0, -51568, -107176, 0, 25790, -52752, 0, -87808, -163844, 0, 35424, -131072, 0, -177472, -34300, 0, 371678, 125840, 0, -51200, 79212, 0, 1186652, 412544, 0, 857408, -952110, 0, 470596, -206320, 0, 422016, -155082, 0, 3728930, 702464, 0, 1310752, 1193848, 0, 129102, -283392, 0, 1048576, -9519330, 0, -2555300, 1419776, 0, 274400, -2975872, 0, 6428020, -2973424, 0, -1006720, -2210978, 0, 6843240, 409600, 0, -633696, -11642074, 0, -1650490, -9493216, 0, -3300352, -21148548, 0, -2261742, -6859264, 0, 7616880, -8711770, 0, -5112362, -3764768, 0, 1650560, -16297568, 0, 5412614, -3376128, 0, 1240656, 1490088, 0, 6271606, -29831440, 0, -5619712, 18129382, 0, 373220, -10486016, 0, -9550784, -7609112, 0, 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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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[-0.07796499669420026, 0.0], [0.0, 0.0], [0.05165371378493786, 0.0], [0.21841581106820981, 0.0], [0.0, 0.0], [-0.3382550612371956, 0.0], [-0.7500272765070152, 0.0], [0.0, 0.0], [0.16875605607484198, 0.0], [0.44584598203886194, 0.0], [0.0, 0.0], [-1.2747204746448075, 0.0], [-0.013958824168485727, 0.0], [0.0, 0.0], [-1.1100195848136603, 0.0], [1.5459217206752414, 0.0], [0.0, 0.0], [-0.017367119072368306, 0.0], [-0.38697080561651914, 0.0], [0.0, 0.0], [0.0934257282738794, 0.0], [0.33025115813523553, 0.0], [0.0, 0.0], [0.7466869974050881, 0.0], [0.016169944142031174, 0.0], [0.0, 0.0], [-0.22092963264122206, 0.0], [-0.35933624383392604, 0.0], [0.0, 0.0], [-1.159819409963938, 0.0], [0.2710842646317074, 0.0], [0.0, 0.0], [-0.13554663587016522, 0.0]], 'angles': [None, None, -0.26557616424810965, None, -0.34314114591733036, -0.31425589948538807, -0.3391232021338972, -0.26896948586582986, -0.2764175852268607, -0.29146154944403735, -0.2572815722993677, -0.12829407753358132, -0.27192433938987903, -0.3332778053428134, -0.20762048210132783, -0.31648512645206395, -0.30473209230165293, -0.19520730335515837, -0.12013136346001053, -0.31781571522944857, -0.2986545028872819, -0.2712540058513658, -0.37892724542276063, -0.15212793550426548, -0.22007795477667372, -0.3439738206247616, -0.33402116405241633, -0.2716031812562314, -0.2611297948181652, -0.32607367073092824, -0.1330991924227924, -0.31781887403171233, -0.3247710110275544, -0.1761626724182231, -0.1959418157991771, -0.15284673134015492, -0.14822577106985702, -0.2393992544695144, -0.15196865439405616, -0.18975136873137138, -0.27130990597604965, -0.24255617463247253, -0.3113124919283621, -0.1129954869259429, -0.24292569038789927, -0.0643462959153358, -0.18811179665331054, -0.321908778109096, -0.1285465196202997, -0.2484600783436608, -0.16174026411344836, -0.10548498174789853, -0.23248434657998632, -0.3655792419137475, -0.2936358219955415, -0.2018194432220818, -0.32339007115742047, -0.24380624450177044, -0.22389855553462643, 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-0.2965269842016698, -0.23623228619783562, -0.2774675068291698, -0.14377531539399196, -0.23651754596148075, -0.2432609855256295, -0.0709136413350471, -0.15475938189857139, -0.30099745313640475, -0.34477902011719713, -0.2650048662277654, -0.21010823878446205, -0.248694520111563, -0.47846825279641625, -0.28185214912367057, -0.2613397325435285, -0.2323812187121388, -0.23615391603597904, -0.3697439060808821, -0.07509533885203543, -0.3412671410808122, -0.21475720430389292, -0.26027973788278985, -0.2698483608114368, -0.22096175064727686, -0.10451593130164265, -0.29396335559164205, -0.27338421715019595, -0.10321077659631231, -0.20852935064780426, -0.3454742653277949, -0.31436852238325425, -0.22689376818566181, -0.2793470664818103, -0.17198769684555473, -0.12750296576886846, -0.2731515553782468, -0.24032612809652265, -0.28906536644471353, -0.3494122072544009, -0.2766870879957662, -0.3635629533265932, -0.25751792389356337, -0.19190494544068878, -0.2315341806012073, -0.22198162846967273, -0.4197821077249147, -0.38888465707542236, -0.10111152831213215, -0.2820912383514356, -0.3338503463937194, -0.2636253610870679, -0.38476947248337234, -0.319508926853637, -0.3736206232827777, -0.27556820624619843, -0.18374110570090318, -0.2625274201573698, -0.23258428661186095, -0.2142200762197022, -0.10938744117711748, -0.18910564475211297, -0.3484560889433431], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -27.8481458157381, 'hecke_orbit': 16, 'hecke_orbit_code': 67553994544775546, 'label': '378.8.a.p.1.2', 'level': 378, 'weight': 8}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[2, -1], [3, -1], [7, -1]], 6, 3], [[[2, -1], [3, 1], [7, -1]], 8, 2], [[[2, -1], [3, -1], [7, 1]], 8, 2], [[[2, 1], [3, -1], [7, -1]], 7, 2], [[[2, 1], [3, -1], [7, 1]], 7, 3], [[[2, -1], [3, 1], [7, 1]], 6, 3], [[[2, 1], [3, 1], [7, -1]], 7, 3], [[[2, 1], [3, 1], [7, 1]], 7, 2]], 'ALdims': [7, 7, 7, 7, 6, 8, 8, 6], 'Nk2': 24192, 'analytic_conductor': 118.08153963299803, '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': [378, 1, [29, 325], [1, 1]], 'conrey_index': 1, 'cusp_dim': 492, 'dim': 56, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 134218106, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4], 'label': '378.8.a', 'level': 378, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 516, 'mf_new_dim': 56, 'num_forms': 20, 'plus_dim': 30, 'prim_orbit_index': 1, 'relative_dim': 56, 'sturm_bound': 576, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 'traces': [56, 0, 0, 3584, 0, 0, 0, 0, 0, 10624, 0, 0, 33704, 0, 0, 229376, 0, 0, -28328, 0, 0, 2912, 0, 0, 516228, 0, 0, 0, 0, 0, 266576, 0, 0, -989248, 0, 0, -686372, 0, 0, 679936, 0, 0, 536860, 0, 0, 24704, 0, 0, 6588344, 0, 0, 2157056, 0, 0, 3737144, 0, 0, 2665312, 0, 0, -1902976, 0, 0, 14680064, 0, 0, -5798292, 0, 0, 1986656, 0, 0, 15853848, 0, 0, -1812992, 0, 0, 1705016, 0, 0, -9354240, 0, 0, -27925120, 0, 0, 186368, 0, 0, 3859436, 0, 0, 8077632, 0, 0, -36533664, 0, 0, 33038592, 0, 0, -5308592, 0, 0, 43423968, 0, 0, 134653212, 0, 0, 0, 0, 0, -62588632, 0, 0, -19632896, 0, 0, 125682708, 0, 0, 17060864, 0, 0, 253374320, 0, 0, 94964736, 0, 0, -12681396, 0, 0, -63311872, 0, 0, 74860800, 0, 0, 47852480, 0, 0, 205807936, 0, 0, -43927808, 0, 0, -279671904, 0, 0, -17495744, 0, 0, 258812536, 0, 0, 43515904, 0, 0, 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0, 0, 8320408610120, 0, 0, -4567361284896, 0, 0, -223883223424, 0, 0, -802988195840, 0, 0, -5603945442792, 0, 0, 6385564948800, 0, 0], 'weight': 8, '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: 47953615
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994544775546, 'source_is_minimal': True, 'source_label': '378.8.a.p.1.2', 'source_level': 378, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 67553994544775546, 'target_is_minimal': True, 'target_label': '378.8.a.p.1.2', 'target_level': 378, 'twist_class_label': '378.8.a.p.1.2', 'twist_class_level': 378, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 47953616
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994544775546, 'source_is_minimal': True, 'source_label': '378.8.a.p.1.2', 'source_level': 378, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 72057594172146042, 'target_is_minimal': True, 'target_label': '378.8.a.q.1.3', 'target_level': 378, 'twist_class_label': '378.8.a.p.1.2', 'twist_class_level': 378, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 801500
    {'charpoly_factorization': [[[8, 1], 4]], 'hecke_orbit_code': 67553994544775546, 'p': 2}
  • id: 801501
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 67553994544775546, 'p': 3}
  • id: 801502
    {'charpoly_factorization': [[[744100000, 5117900, -164145, -100, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 5}
  • id: 801503
    {'charpoly_factorization': [[[343, 1], 4]], 'hecke_orbit_code': 67553994544775546, 'p': 7}
  • id: 801504
    {'charpoly_factorization': [[[365615787147520, 148328253472, -40178928, -6446, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 11}
  • id: 801505
    {'charpoly_factorization': [[[11321359141042800, 877185110070, -231102621, -6594, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 13}
  • id: 801506
    {'charpoly_factorization': [[[87238311149989825, 9946167151720, -666668802, -22184, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 17}
  • id: 801507
    {'charpoly_factorization': [[[-135718371846992768, -30864842214728, -1595046756, 15730, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 19}
  • id: 801508
    {'charpoly_factorization': [[[-13137694938879968708, -831030630218636, -6068334153, 107176, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 23}
  • id: 801509
    {'charpoly_factorization': [[[33415862862942979720, -945211375046398, -14762129295, 163844, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 29}
  • id: 801510
    {'charpoly_factorization': [[[16559635032180660240, 630783493477398, -31129717095, -35424, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 31}
  • id: 801511
    {'charpoly_factorization': [[[11037197836841733289828, 110491202430522580, -343072862427, -371678, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 37}
  • id: 801512
    {'charpoly_factorization': [[[4466655600371940357684, 18341742113542512, -177025259385, -79212, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 41}
  • id: 801513
    {'charpoly_factorization': [[[-52668029720099813859851, 326298922047198364, -69558922038, -1186652, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 43}
  • id: 801514
    {'charpoly_factorization': [[[280096156907800222707612, -551210323091190768, -1021589126271, 952110, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 47}
  • id: 801515
    {'charpoly_factorization': [[[95813139733473333866004, -44556985064825172, -811547824095, 155082, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 53}
  • id: 801516
    {'charpoly_factorization': [[[-397779433620043405368263, 1367544541625799512, -764405026842, -1193848, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 59}
  • id: 801517
    {'charpoly_factorization': [[[3973474104958291631654880, 5483766806858302776, -8634794842620, -129102, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 61}
  • id: 801518
    {'charpoly_factorization': [[[-5732931572671931937565088, -26969633304922673356, -14061403072929, 2555300, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 67}
  • id: 801519
    {'charpoly_factorization': [[[-201779465707503484670240, -1203403632894573116, 753553854915, 2975872, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 71}
  • id: 801520
    {'charpoly_factorization': [[[-43836992293721851685056400, 25284520805282206160, 6726690868704, -6428020, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 73}
  • id: 801521
    {'charpoly_factorization': [[[90603097986134727460723500, 75548720039468658300, -11140174929105, -6843240, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 79}
  • id: 801522
    {'charpoly_factorization': [[[-2564917914130480060155374000, -944788466697442280744, -49250019823491, 11642074, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 83}
  • id: 801523
    {'charpoly_factorization': [[[-5541147570687997893890323860, -1288791590365855451844, 40871569211163, 21148548, 1], 1]], 'hecke_orbit_code': 67553994544775546, 'p': 89}
  • id: 801524
    {'charpoly_factorization': [[[502319742474710292022833664, -76022030481809239552, -50335466780280, 5112362, 1], 1]], 'hecke_orbit_code': 67553994544775546, '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': 16, 'label': '378.8.a.p', 'level': 378, 'portrait': 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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 237020000
    {'hecke_orbit_code': 67553994544775546, 'n': 1, 'trace_an': 4}
  • id: 237020001
    {'hecke_orbit_code': 67553994544775546, 'n': 2, 'trace_an': -32}
  • id: 237020002
    {'hecke_orbit_code': 67553994544775546, 'n': 3, 'trace_an': 0}
  • id: 237020003
    {'hecke_orbit_code': 67553994544775546, 'n': 4, 'trace_an': 256}
  • id: 237020004
    {'hecke_orbit_code': 67553994544775546, 'n': 5, 'trace_an': 100}
  • id: 237020005
    {'hecke_orbit_code': 67553994544775546, 'n': 6, 'trace_an': 0}
  • id: 237020006
    {'hecke_orbit_code': 67553994544775546, 'n': 7, 'trace_an': -1372}
  • id: 237020007
    {'hecke_orbit_code': 67553994544775546, 'n': 8, 'trace_an': -2048}
  • id: 237020008
    {'hecke_orbit_code': 67553994544775546, 'n': 9, 'trace_an': 0}
  • id: 237020009
    {'hecke_orbit_code': 67553994544775546, 'n': 10, 'trace_an': -800}
  • id: 237020010
    {'hecke_orbit_code': 67553994544775546, 'n': 11, 'trace_an': 6446}
  • id: 237020011
    {'hecke_orbit_code': 67553994544775546, 'n': 12, 'trace_an': 0}
  • id: 237020012
    {'hecke_orbit_code': 67553994544775546, 'n': 13, 'trace_an': 6594}
  • id: 237020013
    {'hecke_orbit_code': 67553994544775546, 'n': 14, 'trace_an': 10976}
  • id: 237020014
    {'hecke_orbit_code': 67553994544775546, 'n': 15, 'trace_an': 0}
  • id: 237020015
    {'hecke_orbit_code': 67553994544775546, 'n': 16, 'trace_an': 16384}
  • id: 237020016
    {'hecke_orbit_code': 67553994544775546, 'n': 17, 'trace_an': 22184}
  • id: 237020017
    {'hecke_orbit_code': 67553994544775546, 'n': 18, 'trace_an': 0}
  • id: 237020018
    {'hecke_orbit_code': 67553994544775546, 'n': 19, 'trace_an': -15730}
  • id: 237020019
    {'hecke_orbit_code': 67553994544775546, 'n': 20, 'trace_an': 6400}
  • id: 237020020
    {'hecke_orbit_code': 67553994544775546, 'n': 21, 'trace_an': 0}
  • id: 237020021
    {'hecke_orbit_code': 67553994544775546, 'n': 22, 'trace_an': -51568}
  • id: 237020022
    {'hecke_orbit_code': 67553994544775546, 'n': 23, 'trace_an': -107176}
  • id: 237020023
    {'hecke_orbit_code': 67553994544775546, 'n': 24, 'trace_an': 0}
  • id: 237020024
    {'hecke_orbit_code': 67553994544775546, 'n': 25, 'trace_an': 25790}
  • id: 237020025
    {'hecke_orbit_code': 67553994544775546, 'n': 26, 'trace_an': -52752}
  • id: 237020026
    {'hecke_orbit_code': 67553994544775546, 'n': 27, 'trace_an': 0}
  • id: 237020027
    {'hecke_orbit_code': 67553994544775546, 'n': 28, 'trace_an': -87808}
  • id: 237020028
    {'hecke_orbit_code': 67553994544775546, 'n': 29, 'trace_an': -163844}
  • id: 237020029
    {'hecke_orbit_code': 67553994544775546, 'n': 30, 'trace_an': 0}
  • id: 237020030
    {'hecke_orbit_code': 67553994544775546, 'n': 31, 'trace_an': 35424}
  • id: 237020031
    {'hecke_orbit_code': 67553994544775546, 'n': 32, 'trace_an': -131072}
  • id: 237020032
    {'hecke_orbit_code': 67553994544775546, 'n': 33, 'trace_an': 0}
  • id: 237020033
    {'hecke_orbit_code': 67553994544775546, 'n': 34, 'trace_an': -177472}
  • id: 237020034
    {'hecke_orbit_code': 67553994544775546, 'n': 35, 'trace_an': -34300}
  • id: 237020035
    {'hecke_orbit_code': 67553994544775546, 'n': 36, 'trace_an': 0}
  • id: 237020036
    {'hecke_orbit_code': 67553994544775546, 'n': 37, 'trace_an': 371678}
  • id: 237020037
    {'hecke_orbit_code': 67553994544775546, 'n': 38, 'trace_an': 125840}
  • id: 237020038
    {'hecke_orbit_code': 67553994544775546, 'n': 39, 'trace_an': 0}
  • id: 237020039
    {'hecke_orbit_code': 67553994544775546, 'n': 40, 'trace_an': -51200}
  • id: 237020040
    {'hecke_orbit_code': 67553994544775546, 'n': 41, 'trace_an': 79212}
  • id: 237020041
    {'hecke_orbit_code': 67553994544775546, 'n': 42, 'trace_an': 0}
  • id: 237020042
    {'hecke_orbit_code': 67553994544775546, 'n': 43, 'trace_an': 1186652}
  • id: 237020043
    {'hecke_orbit_code': 67553994544775546, 'n': 44, 'trace_an': 412544}
  • id: 237020044
    {'hecke_orbit_code': 67553994544775546, 'n': 45, 'trace_an': 0}
  • id: 237020045
    {'hecke_orbit_code': 67553994544775546, 'n': 46, 'trace_an': 857408}
  • id: 237020046
    {'hecke_orbit_code': 67553994544775546, 'n': 47, 'trace_an': -952110}
  • id: 237020047
    {'hecke_orbit_code': 67553994544775546, 'n': 48, 'trace_an': 0}
  • id: 237020048
    {'hecke_orbit_code': 67553994544775546, 'n': 49, 'trace_an': 470596}
  • id: 237020049
    {'hecke_orbit_code': 67553994544775546, 'n': 50, 'trace_an': -206320}
  • id: 237020050
    {'hecke_orbit_code': 67553994544775546, 'n': 51, 'trace_an': 0}
  • id: 237020051
    {'hecke_orbit_code': 67553994544775546, 'n': 52, 'trace_an': 422016}
  • id: 237020052
    {'hecke_orbit_code': 67553994544775546, 'n': 53, 'trace_an': -155082}
  • id: 237020053
    {'hecke_orbit_code': 67553994544775546, 'n': 54, 'trace_an': 0}
  • id: 237020054
    {'hecke_orbit_code': 67553994544775546, 'n': 55, 'trace_an': 3728930}
  • id: 237020055
    {'hecke_orbit_code': 67553994544775546, 'n': 56, 'trace_an': 702464}
  • id: 237020056
    {'hecke_orbit_code': 67553994544775546, 'n': 57, 'trace_an': 0}
  • id: 237020057
    {'hecke_orbit_code': 67553994544775546, 'n': 58, 'trace_an': 1310752}
  • id: 237020058
    {'hecke_orbit_code': 67553994544775546, 'n': 59, 'trace_an': 1193848}
  • id: 237020059
    {'hecke_orbit_code': 67553994544775546, 'n': 60, 'trace_an': 0}
  • id: 237020060
    {'hecke_orbit_code': 67553994544775546, 'n': 61, 'trace_an': 129102}
  • id: 237020061
    {'hecke_orbit_code': 67553994544775546, 'n': 62, 'trace_an': -283392}
  • id: 237020062
    {'hecke_orbit_code': 67553994544775546, 'n': 63, 'trace_an': 0}
  • id: 237020063
    {'hecke_orbit_code': 67553994544775546, 'n': 64, 'trace_an': 1048576}
  • id: 237020064
    {'hecke_orbit_code': 67553994544775546, 'n': 65, 'trace_an': -9519330}
  • id: 237020065
    {'hecke_orbit_code': 67553994544775546, 'n': 66, 'trace_an': 0}
  • id: 237020066
    {'hecke_orbit_code': 67553994544775546, 'n': 67, 'trace_an': -2555300}
  • id: 237020067
    {'hecke_orbit_code': 67553994544775546, 'n': 68, 'trace_an': 1419776}
  • id: 237020068
    {'hecke_orbit_code': 67553994544775546, 'n': 69, 'trace_an': 0}
  • id: 237020069
    {'hecke_orbit_code': 67553994544775546, 'n': 70, 'trace_an': 274400}
  • id: 237020070
    {'hecke_orbit_code': 67553994544775546, 'n': 71, 'trace_an': -2975872}
  • id: 237020071
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