Embedded newform data - 294.6.a.n.1.1

Formats: - HTML - YAML - JSON - 2024-12-12T17:53:46.076339

• 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': 10584, 'analytic_conductor': 47.1528430250163, 'analytic_rank': 1, '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': [294, 1, [197, 199], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 8, 'field_disc_factorization': [[2, 3]], 'field_poly': [-2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 8, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [466, 108, 1]], [11, [-27908, -124, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58546795256480038, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 7, 'hecke_ring_index_factorization': [[7, 1]], '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': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '294.6.a.n', 'level': 294, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '294.6.a.n', 'nf_label': '2.2.8.1', 'prim_orbit_index': 1, 'qexp_display': 'q-4q^{2}-9q^{3}+2^{4}q^{4}+(-54+5\\beta )q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '294.6.a', 'trace_display': [-8, -18, -108, 0], 'trace_hash': 1091350803863375143, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.026', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.997', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '68.866', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, -8, -18, 32, -108, 72, 0, -128, 162, 432, 124, -288, -720, 0, 972, 512, 1260, -648, -360, -1728, 0, -496, 6524, 1152, 4482, 2880, -1458, 0, 7088, -3888, -5904, -2048, -1116, -5040, 0, 2592, -6040, 1440, 6480, 6912, 17388, 0, -608, 1984, -8748, -26096, 30456, -4608, 0, -17928, -11340, -11520, 3964, 5832, -24336, 0, 3240, -28352, -40752, 15552, 1368, 23616, 0, 8192, 82980, 4464, -16224, 20160, -58716, 0, -3204, -10368, -23976, 24160, -40338, -5760, 0, -25920, -82160, -27648, 13122, -69552, -173736, 0, -133700, 2432, -63792, -7936, -200556, 34992, 0, 104384, 53136, -121824, -25640, 18432, -251928, 0, 10044, 71712, -272844, 45360, -13392, 46080, 0, -15856, -11308, -23328, -6832, 97344, 54360, 0, 288876, -12960, -405216, 113408, -58320, 163008, 0, -62208, -250910, -5472, -156492, -94464, -433728, 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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-0.2651748965925665, -0.11625589880103299, -0.14858798502405374, -0.2685507696742102, -0.2696626953288698, -0.2041810048919331, -0.23851640930037307, -0.4342271251773484, -0.32842522402419516, -0.15860080916485514, -0.3051385706366968, -0.28418630885913493, -0.3642055733183364, -0.17771620512846417, -0.2690466066489248, -0.33622294187578805, -0.1724173518924458, -0.20114461683217613, -0.28317234785316037, -0.25050220925872824, -0.3210149002762266, -0.25328216825563854, -0.27466677761280006, -0.27914218712762146, -0.3509192656139027, -0.2898951995572471, -0.18005036055373771, -0.17731587584608274, -0.19808391556679664, -0.3343590316862219, -0.09454977383406428, -0.05989228875169646, -0.35743944937401484, -0.3392261086422933, -0.2944451566102363, -0.14343718272920558, -0.4801183954530722, -0.3682586421448818, -0.19838029052607026, -0.23808316440021002, -0.2378503874754366, -0.17324960896246447, -0.33769642328168453, -0.2762692659274242, -0.21756788657886453, -0.28165529789318366, -0.31373994769854047, -0.20605677087730315, -0.3292071758797202, -0.21968785894844464, -0.2467168162776119, -0.19397531358617143, -0.2665578640714568, -0.21320101850278061, -0.20555029193437144, -0.05999619963379964, -0.3581539275612516], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.4142135623730951, 'hecke_orbit': 14, 'hecke_orbit_code': 58546795256480038, 'label': '294.6.a.n.1.1', 'level': 294, 'weight': 6}
• mf_newspaces •

  Column	Type
  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_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': [3, 5, 4, 4, 4, 4, 3, 6], 'Nk2': 10584, 'analytic_conductor': 47.1528430250163, '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': [294, 1, [197, 199], [1, 1]], 'conrey_index': 1, 'cusp_dim': 264, 'dim': 33, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11], 'hecke_orbit_code': 100663590, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], 'label': '294.6.a', 'level': 294, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 296, 'mf_new_dim': 33, 'num_forms': 23, 'plus_dim': 14, 'prim_orbit_index': 1, 'relative_dim': 33, 'sturm_bound': 336, 'trace_bound': 11, 'trace_display': [4, 9, 22, 0], 'traces': [33, 4, 9, 528, 22, 36, 0, 64, 2673, 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48186266, 10450944, 0, -16265728, -122520708, -31800072, 12757968, -869760, 127264270, 0, 24530688, -9150464, 76485066, 5137920, 61197532, 10788224, 0, 150090432, -66608640, 746496, 115159380, 8540552, -33830901, 0, 125877320, -20395008, 17306696, -55252608, -13255326, -23250048, 0, -43047072, 39193182, 62669760, -11302146, -17836032, -81506814, 0, 27001500, -33339840, -35523000, 110176, -32057832, 21144960, 0, -24389936, -4277772, -10184576, 94755808, 1801656, -64182744, 0, 172458288, -77167704, -2348304, 31657392, 67486812, 47266272, 0, -27711360, 51388796, 11341440, 39714940, -30177216, -28858842, 0, -12324200, 20505600, -20594928, 1288232, 23292900, 27899104, 0, -5021352, -72612704, 13291520, -149276844, -39495432, 42111504, 0, -252712990, 167899616, 1820880, 624640, 7795506, -9035712, 0, -94933984, -50165928, 35655312, -204123000, -5692032, -108772838, 0, -76792554, -140430080, 41983966, 34483464, -121701360, -20710400, 0, -18458240, 7029164, -20248704, -265205348, 29294704, -39753018, 0, 5281962, -5691384, -181702752, -83623296, -18337896, 35656896, 0, 811008, 69234205, -64978416, -44808876, 23420704, -112119220, 0, -22018204, 29504832, -9679896, 87369056, 735132, 944784, 0, 149152992, -4063986, 22160896, 44947082, -37715472, 153638664, 0, -206226, 36377184, 45759384, 22481280, -19181676, 32128688, 0, -31804544, 88032048, -13029984, -33419940, 27353088, 39342852, 0, -18024496, 20874240, 132149038, 161070256, -9980010, -1968384], 'weight': 6, '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: 47704606
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58546795256480038, 'source_is_minimal': True, 'source_label': '294.6.a.n.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58546795256480038, 'target_is_minimal': True, 'target_label': '294.6.a.n.1.1', 'target_level': 294, 'twist_class_label': '294.6.a.n.1.1', 'twist_class_level': 294, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 47704607
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58546795256480038, 'source_is_minimal': True, 'source_label': '294.6.a.n.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 207165582959706994, 'target_is_minimal': False, 'target_label': '882.6.a.bu.1.2', 'target_level': 882, 'twist_class_label': '294.6.a.n.1.1', 'twist_class_level': 294, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 47704608
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58546795256480038, 'source_is_minimal': True, 'source_label': '294.6.a.n.1.1', 'source_level': 294, 'target_conrey_index': 67, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 112590265662832934, 'target_is_minimal': False, 'target_label': '294.6.e.z.67.2', 'target_level': 294, 'twist_class_label': '294.6.a.n.1.1', 'twist_class_level': 294, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 47704609
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58546795256480038, 'source_is_minimal': True, 'source_label': '294.6.a.n.1.1', 'source_level': 294, 'target_conrey_index': 79, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 103583066408091942, 'target_is_minimal': False, 'target_label': '294.6.e.x.79.1', 'target_level': 294, 'twist_class_label': '294.6.a.n.1.1', 'twist_class_level': 294, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 47704610
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58546795256480038, 'source_is_minimal': True, 'source_label': '294.6.a.n.1.1', 'source_level': 294, 'target_conrey_index': 79, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 112590265662832934, 'target_is_minimal': False, 'target_label': '294.6.e.z.79.2', 'target_level': 294, 'twist_class_label': '294.6.a.n.1.1', 'twist_class_level': 294, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 6}
  • id: 47704611
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58546795256480038, 'source_is_minimal': True, 'source_label': '294.6.a.n.1.1', 'source_level': 294, 'target_conrey_index': 67, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 103583066408091942, 'target_is_minimal': False, 'target_label': '294.6.e.x.67.1', 'target_level': 294, 'twist_class_label': '294.6.a.n.1.1', 'twist_class_level': 294, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 6}
  • id: 47704612
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58546795256480038, 'source_is_minimal': True, 'source_label': '294.6.a.n.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 72057594138591526, 'target_is_minimal': True, 'target_label': '294.6.a.q.1.2', 'target_level': 294, 'twist_class_label': '294.6.a.n.1.1', 'twist_class_level': 294, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 6}
  • id: 47704613
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58546795256480038, 'source_is_minimal': True, 'source_label': '294.6.a.n.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 162129586686002034, 'target_is_minimal': False, 'target_label': '882.6.a.bk.1.1', 'target_level': 882, 'twist_class_label': '294.6.a.n.1.1', 'twist_class_level': 294, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 658525
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 58546795256480038, 'p': 2}
  • id: 658526
    {'charpoly_factorization': [[[9, 1], 2]], 'hecke_orbit_code': 58546795256480038, 'p': 3}
  • id: 658527
    {'charpoly_factorization': [[[466, 108, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 5}
  • id: 658528
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 58546795256480038, 'p': 7}
  • id: 658529
    {'charpoly_factorization': [[[-27908, -124, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 11}
  • id: 658530
    {'charpoly_factorization': [[[-68850, 720, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 13}
  • id: 658531
    {'charpoly_factorization': [[[-43022, -1260, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 17}
  • id: 658532
    {'charpoly_factorization': [[[-174968, 360, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 19}
  • id: 658533
    {'charpoly_factorization': [[[10354876, -6524, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 23}
  • id: 658534
    {'charpoly_factorization': [[[7193848, -7088, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 29}
  • id: 658535
    {'charpoly_factorization': [[[1570104, 5904, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 31}
  • id: 658536
    {'charpoly_factorization': [[[-27584912, 6040, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 37}
  • id: 658537
    {'charpoly_factorization': [[[-14919422, -17388, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 41}
  • id: 658538
    {'charpoly_factorization': [[[-129963776, 608, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 43}
  • id: 658539
    {'charpoly_factorization': [[[170730184, -30456, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 47}
  • id: 658540
    {'charpoly_factorization': [[[-241959164, -3964, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 53}
  • id: 658541
    {'charpoly_factorization': [[[411182584, 40752, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 59}
  • id: 658542
    {'charpoly_factorization': [[[-143726306, -1368, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 61}
  • id: 658543
    {'charpoly_factorization': [[[-1887070464, 16224, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 67}
  • id: 658544
    {'charpoly_factorization': [[[-3820660164, 3204, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 71}
  • id: 658545
    {'charpoly_factorization': [[[-4077438818, 23976, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 73}
  • id: 658546
    {'charpoly_factorization': [[[1631555872, 82160, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 79}
  • id: 658547
    {'charpoly_factorization': [[[6854724496, 173736, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 83}
  • id: 658548
    {'charpoly_factorization': [[[9990263362, 200556, 1], 1]], 'hecke_orbit_code': 58546795256480038, 'p': 89}
  • id: 658549
    {'charpoly_factorization': [[[15174041758, 251928, 1], 1]], 'hecke_orbit_code': 58546795256480038, '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': 14, 'label': '294.6.a.n', 'level': 294, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 59141317
    {'hecke_orbit_code': 58546795256480038, 'n': 1, 'trace_an': 2}
  • id: 59141318
    {'hecke_orbit_code': 58546795256480038, 'n': 2, 'trace_an': -8}
  • id: 59141319
    {'hecke_orbit_code': 58546795256480038, 'n': 3, 'trace_an': -18}
  • id: 59141320
    {'hecke_orbit_code': 58546795256480038, 'n': 4, 'trace_an': 32}
  • id: 59141321
    {'hecke_orbit_code': 58546795256480038, 'n': 5, 'trace_an': -108}
  • id: 59141322
    {'hecke_orbit_code': 58546795256480038, 'n': 6, 'trace_an': 72}
  • id: 59141323
    {'hecke_orbit_code': 58546795256480038, 'n': 7, 'trace_an': 0}
  • id: 59141324
    {'hecke_orbit_code': 58546795256480038, 'n': 8, 'trace_an': -128}
  • id: 59141325
    {'hecke_orbit_code': 58546795256480038, 'n': 9, 'trace_an': 162}
  • id: 59141326
    {'hecke_orbit_code': 58546795256480038, 'n': 10, 'trace_an': 432}
  • id: 59141327
    {'hecke_orbit_code': 58546795256480038, 'n': 11, 'trace_an': 124}
  • id: 59141328
    {'hecke_orbit_code': 58546795256480038, 'n': 12, 'trace_an': -288}
  • id: 59141329
    {'hecke_orbit_code': 58546795256480038, 'n': 13, 'trace_an': -720}
  • id: 59141330
    {'hecke_orbit_code': 58546795256480038, 'n': 14, 'trace_an': 0}
  • id: 59141331
    {'hecke_orbit_code': 58546795256480038, 'n': 15, 'trace_an': 972}
  • id: 59141332
    {'hecke_orbit_code': 58546795256480038, 'n': 16, 'trace_an': 512}
  • id: 59141333
    {'hecke_orbit_code': 58546795256480038, 'n': 17, 'trace_an': 1260}
  • id: 59141334
    {'hecke_orbit_code': 58546795256480038, 'n': 18, 'trace_an': -648}
  • id: 59141335
    {'hecke_orbit_code': 58546795256480038, 'n': 19, 'trace_an': -360}
  • id: 59141336
    {'hecke_orbit_code': 58546795256480038, 'n': 20, 'trace_an': -1728}
  • id: 59141337
    {'hecke_orbit_code': 58546795256480038, 'n': 21, 'trace_an': 0}
  • id: 59141338
    {'hecke_orbit_code': 58546795256480038, 'n': 22, 'trace_an': -496}
  • id: 59141339
    {'hecke_orbit_code': 58546795256480038, 'n': 23, 'trace_an': 6524}
  • id: 59141340
    {'hecke_orbit_code': 58546795256480038, 'n': 24, 'trace_an': 1152}
  • id: 59141341
    {'hecke_orbit_code': 58546795256480038, 'n': 25, 'trace_an': 4482}
  • id: 59141342
    {'hecke_orbit_code': 58546795256480038, 'n': 26, 'trace_an': 2880}
  • id: 59141343
    {'hecke_orbit_code': 58546795256480038, 'n': 27, 'trace_an': -1458}
  • id: 59141344
    {'hecke_orbit_code': 58546795256480038, 'n': 28, 'trace_an': 0}
  • id: 59141345
    {'hecke_orbit_code': 58546795256480038, 'n': 29, 'trace_an': 7088}
  • id: 59141346
    {'hecke_orbit_code': 58546795256480038, 'n': 30, 'trace_an': -3888}
  • id: 59141347
    {'hecke_orbit_code': 58546795256480038, 'n': 31, 'trace_an': -5904}
  • id: 59141348
    {'hecke_orbit_code': 58546795256480038, 'n': 32, 'trace_an': -2048}
  • id: 59141349
    {'hecke_orbit_code': 58546795256480038, 'n': 33, 'trace_an': -1116}
  • id: 59141350
    {'hecke_orbit_code': 58546795256480038, 'n': 34, 'trace_an': -5040}
  • id: 59141351
    {'hecke_orbit_code': 58546795256480038, 'n': 35, 'trace_an': 0}
  • id: 59141352
    {'hecke_orbit_code': 58546795256480038, 'n': 36, 'trace_an': 2592}
  • id: 59141353
    {'hecke_orbit_code': 58546795256480038, 'n': 37, 'trace_an': -6040}
  • id: 59141354
    {'hecke_orbit_code': 58546795256480038, 'n': 38, 'trace_an': 1440}
  • id: 59141355
    {'hecke_orbit_code': 58546795256480038, 'n': 39, 'trace_an': 6480}
  • id: 59141356
    {'hecke_orbit_code': 58546795256480038, 'n': 40, 'trace_an': 6912}
  • id: 59141357
    {'hecke_orbit_code': 58546795256480038, 'n': 41, 'trace_an': 17388}
  • id: 59141358
    {'hecke_orbit_code': 58546795256480038, 'n': 42, 'trace_an': 0}
  • id: 59141359
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  • id: 59141545
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  • id: 59141546
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  • id: 59141547
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  • id: 59141548
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  • id: 59141549
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  • id: 59141550
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  • id: 59141552
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  • id: 59141553
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  • id: 59141554
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  • id: 59141555
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  • id: 59141556
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  • id: 59141557
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  • id: 59141558
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  • id: 59141559
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  • id: 59141560
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  • id: 59141561
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  • id: 59141562
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  • id: 59141563
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  • id: 59141564
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  • id: 59141565
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  • id: 59141566
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  • id: 59141567
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  • id: 59141568
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  • id: 59141569
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  • id: 59141570
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  • id: 59141571
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  • id: 59141572
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  • id: 59141573
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  • id: 59141574
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