Embedded newform data - 1323.4.a.bc.1.3

Formats: - HTML - YAML - JSON - 2025-01-28T18:45:25.346446

• 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': 21168, 'analytic_conductor': 78.05952693759484, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[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': [1323, 1, [785, 1081], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 6, 'field_disc': 346909504, 'field_disc_factorization': [[2, 6], [109, 1], [223, 2]], 'field_poly': [2, 25, 39, 2, -12, -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': 1, 'hecke_cutters': [[2, [-436, 0, 252, 0, -33, 0, 1]], [5, [-270, -171, -12, 1]], [13, [-5371563600, 0, 17399448, 0, -8505, 0, 1]]], 'hecke_orbit': 29, 'hecke_orbit_code': 126100789633484075, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 1296, 'hecke_ring_index_factorization': [[2, 4], [3, 4]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 21, 3, 1, 2, 0]], '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': True, 'label': '1323.4.a.bc', 'level': 1323, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'minimal_twist': '1323.4.a.bb', 'nf_label': '6.6.346909504.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{2}+(3+\\beta _{2})q^{4}+(4-\\beta _{4})q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1323.4.a', 'trace_display': [0, 0, 24, 0], 'trace_hash': 2012343334111906977, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.133', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.430', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.758', 'prec': 17}, {'__RealLiteral__': 0, 'data': '153.788', 'prec': 24}, {'__RealLiteral__': 0, 'data': '64.167', 'prec': 20}, {'__RealLiteral__': 0, 'data': '6580.581', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.514', 'prec': 17}, 'traces': [6, 0, 0, 18, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -30, 42, 0, 0, 12, 0, 132, 0, 0, 222, 366, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -312, 336, 0, 0, 360, 0, 654, 0, 0, 774, 1812, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -378, -6, 0, 0, 2058, 0, 66, 0, 0, 42, 2910, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1956, -2868, 0, 0, 2892, 0, -1944, 0, 0, -2532, 1518, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2898, -456, 0, 0, 7974, 0, 1506, 0, 0, 2556, 8592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3174, -8196, 0, 0, 11388, 0, -2496, 0, 0, -6804, 2826, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3018, -7500, 0, 0, 12768, 0, -5196, 0, 0, -2580, 6984, 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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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-0.189835528018604, -0.4373039139608439, -0.22809581992105402, -0.24824351061294256, -0.333790929761605, -0.3748885316766491, -0.1548821104351422, -0.23218427052819196, -0.15417243775430614, -0.15098805314557162, -0.34242525720019795, -0.17525037612362787, -0.18975591389112936, -0.3937707680617225, -0.32006234482494683, -0.10776655079714889, -0.2720656427827264, -0.2350597098426226, -0.21112219725735423, -0.1652828582247022, -0.3592427171001099, -0.355411112347147, -0.2119580842132398, -0.3317941852262647, -0.3682522967078135, -0.2990070858915569, -0.2881897760488755, -0.3800230939749221, -0.1433393925026512, -0.24207472191923834, -0.30694377689748786, -0.3673286113744039, -0.35386190877696677, -0.13314673080320288, -0.14040574634371944, -0.34159344538489816, -0.38243084814648987], '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': -0.6730974371581291, 'hecke_orbit': 29, 'hecke_orbit_code': 126100789633484075, 'label': '1323.4.a.bc.1.3', 'level': 1323, 'weight': 4}
• 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': [41, 40, 39, 44], 'Nk2': 21168, 'analytic_conductor': 78.05952693759484, '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': [1323, 1, [785, 1081], [1, 1]], 'conrey_index': 1, 'cusp_dim': 480, 'dim': 164, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 5, 13], 'hecke_orbit_code': 67110187, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 8, 12, 12], 'label': '1323.4.a', 'level': 1323, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'mf_dim': 528, 'mf_new_dim': 164, 'num_forms': 43, 'plus_dim': 85, 'prim_orbit_index': 1, 'relative_dim': 164, 'sturm_bound': 672, 'trace_bound': 13, 'trace_display': [0, 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0, 0, 53426, 0, 0, 242348, 0, 0, 57874, 0, 0, 0, 0, 0, 37560, 0, 0, 233782, 0, 0, -8456, 0, 0, 9780, 0, 0, -79494, 0, 0, 4750, 0, 0, 0, 0, 0, 68424, 0, 0, -17508, 0, 0, 423948, 0, 0, -75506, 0, 0, 23544, 0, 0, 46412, 0, 0, 0, 0, 0, -4998, 0, 0, -182160, 0, 0, -137306, 0, 0, 61824, 0, 0, -145982, 0, 0, 164040, 0, 0, 0, 0, 0, -186740, 0, 0, 133376, 0, 0, -107436, 0, 0, 28596, 0, 0, -84048, 0, 0, -7106, 0, 0, 0, 0, 0, -98954, 0, 0, 62700, 0, 0, 38802, 0, 0, -52776, 0, 0, 39656, 0, 0, -2840, 0, 0, 0, 0, 0, 93960, 0, 0, -196706, 0, 0, -159410, 0, 0, -46022, 0, 0, 273084, 0, 0, 129226, 0, 0, 0, 0, 0, -58298, 0, 0, 153384, 0, 0, 181328, 0, 0, 139624, 0, 0, 18016, 0, 0, 73614, 0, 0, 0, 0, 0, 178038, 0, 0, 47728, 0, 0, 56112, 0, 0, 6360, 0, 0, 20740, 0, 0, -121818, 0, 0, 0, 0, 0, 51286, 0, 0, -146070, 0, 0, -112920, 0, 0, -137004, 0, 0, 198904, 0, 0, -115206, 0, 0, 0, 0, 0, 128778, 0, 0, 191532, 0, 0, -27608, 0, 0, 75448, 0, 0, -293166, 0, 0, 142584, 0, 0, 0, 0, 0, -22, 0, 0, 36888, 0, 0, 269818, 0, 0, -194820, 0, 0, -87312, 0, 0, -276012, 0, 0, 0, 0, 0, -232388, 0, 0, -163526, 0, 0, 50478, 0, 0, 25096, 0, 0, -161424, 0, 0, 131548, 0, 0, 0, 0, 0, -174138, 0, 0, 205200, 0, 0, 228460, 0, 0, 94248, 0, 0, 9142, 0, 0, 150120, 0, 0, 0, 0, 0, 62196, 0, 0, 66784, 0, 0, -572798, 0, 0, -103784, 0, 0, -390330, 0, 0, -88368, 0, 0, 0, 0, 0, 177622, 0, 0, -264972, 0, 0, -62086, 0, 0, -310670, 0, 0, 278808, 0, 0, -153996, 0, 0, 0, 0, 0, -205014, 0, 0, 56644, 0, 0, -509856, 0, 0, 52184, 0, 0, 85308, 0, 0, -32720, 0, 0, 0, 0, 0, -17390, 0, 0, -30320, 0, 0, 219900, 0, 0, 154188, 0, 0, 150980, 0, 0, -524924, 0, 0, 0, 0, 0, -94392, 0, 0, 51838, 0, 0, -120534, 0, 0, -29294, 0, 0, -193980, 0, 0, 1878, 0, 0, 0, 0, 0, 209966, 0, 0, 31104, 0, 0, 44314, 0, 0, 381954, 0, 0, 206254, 0, 0, -30648, 0, 0, 0, 0, 0, 234088, 0, 0, 31422, 0, 0, 84852, 0, 0, -150144, 0, 0, -311568, 0, 0, -99266, 0, 0, 0, 0, 0, 9246, 0, 0, -214148, 0, 0, -14018, 0, 0, 17346, 0, 0, 232078, 0, 0, 132924, 0, 0, 0, 0, 0, -252894, 0, 0, 163972, 0, 0, -350304, 0, 0, 273792, 0, 0, -247800, 0, 0, -111262, 0, 0, 0, 0, 0, -361080, 0, 0, -86280, 0, 0, 157626, 0, 0, -84224, 0, 0, -12404, 0, 0, 334638, 0, 0, 0, 0, 0, 293704, 0, 0, -206436, 0, 0, -317442, 0, 0, -79830, 0, 0, 148448, 0, 0, 155632, 0, 0, 0, 0, 0, -31316, 0, 0, -112110], 'weight': 4, '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: 48690092
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 126100789633484075, 'source_is_minimal': True, 'source_label': '1323.4.a.bc.1.3', 'source_level': 1323, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 126100789633484075, 'target_is_minimal': True, 'target_label': '1323.4.a.bc.1.3', 'target_level': 1323, 'twist_class_label': '1323.4.a.bb.1.3', 'twist_class_level': 1323, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48690093
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 126100789633484075, 'source_is_minimal': True, 'source_label': '1323.4.a.bc.1.3', 'source_level': 1323, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 121597190006113579, 'target_is_minimal': True, 'target_label': '1323.4.a.bb.1.4', 'target_level': 1323, 'twist_class_label': '1323.4.a.bb.1.3', 'twist_class_level': 1323, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48690094
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 126100789633484075, 'source_is_minimal': True, 'source_label': '1323.4.a.bc.1.3', 'source_level': 1323, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 121597190006113579, 'target_is_minimal': True, 'target_label': '1323.4.a.bb.1.3', 'target_level': 1323, 'twist_class_label': '1323.4.a.bb.1.3', 'twist_class_level': 1323, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 4}
  • id: 48690095
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 126100789633484075, 'source_is_minimal': True, 'source_label': '1323.4.a.bc.1.3', 'source_level': 1323, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 126100789633484075, 'target_is_minimal': True, 'target_label': '1323.4.a.bc.1.4', 'target_level': 1323, 'twist_class_label': '1323.4.a.bb.1.3', 'twist_class_level': 1323, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1864050
    {'charpoly_factorization': [[[-436, 0, 252, 0, -33, 0, 1], 1]], 'hecke_orbit_code': 126100789633484075, 'p': 2}
  • id: 1864051
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 126100789633484075, 'p': 3}
  • id: 1864052
    {'charpoly_factorization': [[[-270, -171, -12, 1], 2]], 'hecke_orbit_code': 126100789633484075, 'p': 5}
  • id: 1864053
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 126100789633484075, 'p': 7}
  • id: 1864054
    {'charpoly_factorization': [[[-879150400, 0, 5620848, 0, -5580, 0, 1], 1]], 'hecke_orbit_code': 126100789633484075, 'p': 11}
  • id: 1864055
    {'charpoly_factorization': [[[-5371563600, 0, 17399448, 0, -8505, 0, 1], 1]], 'hecke_orbit_code': 126100789633484075, 'p': 13}
  • id: 1864056
    {'charpoly_factorization': [[[-91719, -5085, -21, 1], 2]], 'hecke_orbit_code': 126100789633484075, 'p': 17}
  • id: 1864057
    {'charpoly_factorization': [[[-232895741184, 0, 162991440, 0, -30456, 0, 1], 1]], 'hecke_orbit_code': 126100789633484075, 'p': 19}
  • id: 1864058
    {'charpoly_factorization': [[[-103079719936, 0, 116980608, 0, -22737, 0, 1], 1]], 'hecke_orbit_code': 126100789633484075, 'p': 23}
  • id: 1864059
    {'charpoly_factorization': [[[-149059723600, 0, 440076792, 0, -43761, 0, 1], 1]], 'hecke_orbit_code': 126100789633484075, 'p': 29}
  • id: 1864060
    {'charpoly_factorization': [[[-2588939818704, 0, 1119756312, 0, -64881, 0, 1], 1]], 'hecke_orbit_code': 126100789633484075, 'p': 31}
  • id: 1864061
    {'charpoly_factorization': [[[-706050, -4059, 156, 1], 2]], 'hecke_orbit_code': 126100789633484075, 'p': 37}
  • id: 1864062
    {'charpoly_factorization': [[[10490310, -57267, -180, 1], 2]], 'hecke_orbit_code': 126100789633484075, 'p': 41}
  • id: 1864063
    {'charpoly_factorization': [[[15007815, -41697, -327, 1], 2]], 'hecke_orbit_code': 126100789633484075, 'p': 43}
  • id: 1864064
    {'charpoly_factorization': [[[63550440, 78561, -906, 1], 2]], 'hecke_orbit_code': 126100789633484075, 'p': 47}
  • id: 1864065
    {'charpoly_factorization': [[[-12181996186752256, 0, 163665718944, 0, -712665, 0, 1], 1]], 'hecke_orbit_code': 126100789633484075, 'p': 53}
  • id: 1864066
    {'charpoly_factorization': [[[-60900795, -292041, 3, 1], 2]], 'hecke_orbit_code': 126100789633484075, 'p': 59}
  • id: 1864067
    {'charpoly_factorization': [[[-20403087817536, 0, 35113522032, 0, -578988, 0, 1], 1]], 'hecke_orbit_code': 126100789633484075, 'p': 61}
  • id: 1864068
    {'charpoly_factorization': [[[-4249360, -96648, -21, 1], 2]], 'hecke_orbit_code': 126100789633484075, 'p': 67}
  • id: 1864069
    {'charpoly_factorization': [[[-48122119467040000, 0, 573594503328, 0, -1429233, 0, 1], 1]], 'hecke_orbit_code': 126100789633484075, 'p': 71}
  • id: 1864070
    {'charpoly_factorization': [[[-27011626017177600, 0, 534230961408, 0, -1474848, 0, 1], 1]], 'hecke_orbit_code': 126100789633484075, 'p': 73}
  • id: 1864071
    {'charpoly_factorization': [[[324650908, -357927, -978, 1], 2]], 'hecke_orbit_code': 126100789633484075, 'p': 79}
  • id: 1864072
    {'charpoly_factorization': [[[66493008, 230841, -1446, 1], 2]], 'hecke_orbit_code': 126100789633484075, 'p': 83}
  • id: 1864073
    {'charpoly_factorization': [[[79092180, -691776, -759, 1], 2]], 'hecke_orbit_code': 126100789633484075, 'p': 89}
  • id: 1864074
    {'charpoly_factorization': [[[-1267717073445273600, 0, 3930557214672, 0, -3600936, 0, 1], 1]], 'hecke_orbit_code': 126100789633484075, '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': 29, 'label': '1323.4.a.bc', 'level': 1323, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 68132617
    {'hecke_orbit_code': 126100789633484075, 'n': 1, 'trace_an': 6}
  • id: 68132618
    {'hecke_orbit_code': 126100789633484075, 'n': 2, 'trace_an': 0}
  • id: 68132619
    {'hecke_orbit_code': 126100789633484075, 'n': 3, 'trace_an': 0}
  • id: 68132620
    {'hecke_orbit_code': 126100789633484075, 'n': 4, 'trace_an': 18}
  • id: 68132621
    {'hecke_orbit_code': 126100789633484075, 'n': 5, 'trace_an': 24}
  • id: 68132622
    {'hecke_orbit_code': 126100789633484075, 'n': 6, 'trace_an': 0}
  • id: 68132623
    {'hecke_orbit_code': 126100789633484075, 'n': 7, 'trace_an': 0}
  • id: 68132624
    {'hecke_orbit_code': 126100789633484075, 'n': 8, 'trace_an': 0}
  • id: 68132625
    {'hecke_orbit_code': 126100789633484075, 'n': 9, 'trace_an': 0}
  • id: 68132626
    {'hecke_orbit_code': 126100789633484075, 'n': 10, 'trace_an': 0}
  • id: 68132627
    {'hecke_orbit_code': 126100789633484075, 'n': 11, 'trace_an': 0}
  • id: 68132628
    {'hecke_orbit_code': 126100789633484075, 'n': 12, 'trace_an': 0}
  • id: 68132629
    {'hecke_orbit_code': 126100789633484075, 'n': 13, 'trace_an': 0}
  • id: 68132630
    {'hecke_orbit_code': 126100789633484075, 'n': 14, 'trace_an': 0}
  • id: 68132631
    {'hecke_orbit_code': 126100789633484075, 'n': 15, 'trace_an': 0}
  • id: 68132632
    {'hecke_orbit_code': 126100789633484075, 'n': 16, 'trace_an': -30}
  • id: 68132633
    {'hecke_orbit_code': 126100789633484075, 'n': 17, 'trace_an': 42}
  • id: 68132634
    {'hecke_orbit_code': 126100789633484075, 'n': 18, 'trace_an': 0}
  • id: 68132635
    {'hecke_orbit_code': 126100789633484075, 'n': 19, 'trace_an': 0}
  • id: 68132636
    {'hecke_orbit_code': 126100789633484075, 'n': 20, 'trace_an': 12}
  • id: 68132637
    {'hecke_orbit_code': 126100789633484075, 'n': 21, 'trace_an': 0}
  • id: 68132638
    {'hecke_orbit_code': 126100789633484075, 'n': 22, 'trace_an': 132}
  • id: 68132639
    {'hecke_orbit_code': 126100789633484075, 'n': 23, 'trace_an': 0}
  • id: 68132640
    {'hecke_orbit_code': 126100789633484075, 'n': 24, 'trace_an': 0}
  • id: 68132641
    {'hecke_orbit_code': 126100789633484075, 'n': 25, 'trace_an': 222}
  • id: 68132642
    {'hecke_orbit_code': 126100789633484075, 'n': 26, 'trace_an': 366}
  • id: 68132643
    {'hecke_orbit_code': 126100789633484075, 'n': 27, 'trace_an': 0}
  • id: 68132644
    {'hecke_orbit_code': 126100789633484075, 'n': 28, 'trace_an': 0}
  • id: 68132645
    {'hecke_orbit_code': 126100789633484075, 'n': 29, 'trace_an': 0}
  • id: 68132646
    {'hecke_orbit_code': 126100789633484075, 'n': 30, 'trace_an': 0}
  • id: 68132647
    {'hecke_orbit_code': 126100789633484075, 'n': 31, 'trace_an': 0}
  • id: 68132648
    {'hecke_orbit_code': 126100789633484075, 'n': 32, 'trace_an': 0}
  • id: 68132649
    {'hecke_orbit_code': 126100789633484075, 'n': 33, 'trace_an': 0}
  • id: 68132650
    {'hecke_orbit_code': 126100789633484075, 'n': 34, 'trace_an': 0}
  • id: 68132651
    {'hecke_orbit_code': 126100789633484075, 'n': 35, 'trace_an': 0}
  • id: 68132652
    {'hecke_orbit_code': 126100789633484075, 'n': 36, 'trace_an': 0}
  • id: 68132653
    {'hecke_orbit_code': 126100789633484075, 'n': 37, 'trace_an': -312}
  • id: 68132654
    {'hecke_orbit_code': 126100789633484075, 'n': 38, 'trace_an': 336}
  • id: 68132655
    {'hecke_orbit_code': 126100789633484075, 'n': 39, 'trace_an': 0}
  • id: 68132656
    {'hecke_orbit_code': 126100789633484075, 'n': 40, 'trace_an': 0}
  • id: 68132657
    {'hecke_orbit_code': 126100789633484075, 'n': 41, 'trace_an': 360}
  • id: 68132658
    {'hecke_orbit_code': 126100789633484075, 'n': 42, 'trace_an': 0}
  • id: 68132659
    {'hecke_orbit_code': 126100789633484075, 'n': 43, 'trace_an': 654}
  • id: 68132660
    {'hecke_orbit_code': 126100789633484075, 'n': 44, 'trace_an': 0}
  • id: 68132661
    {'hecke_orbit_code': 126100789633484075, 'n': 45, 'trace_an': 0}
  • id: 68132662
    {'hecke_orbit_code': 126100789633484075, 'n': 46, 'trace_an': 774}
  • id: 68132663
    {'hecke_orbit_code': 126100789633484075, 'n': 47, 'trace_an': 1812}
  • id: 68132664
    {'hecke_orbit_code': 126100789633484075, 'n': 48, 'trace_an': 0}
  • id: 68132665
    {'hecke_orbit_code': 126100789633484075, 'n': 49, 'trace_an': 0}
  • id: 68132666
    {'hecke_orbit_code': 126100789633484075, 'n': 50, 'trace_an': 0}
  • id: 68132667
    {'hecke_orbit_code': 126100789633484075, 'n': 51, 'trace_an': 0}
  • id: 68132668
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  • id: 68132862
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  • id: 68132863
    {'hecke_orbit_code': 126100789633484075, 'n': 929, 'trace_an': -53208}
  • id: 68132864
    {'hecke_orbit_code': 126100789633484075, 'n': 937, 'trace_an': 0}
  • id: 68132865
    {'hecke_orbit_code': 126100789633484075, 'n': 941, 'trace_an': -56520}
  • id: 68132866
    {'hecke_orbit_code': 126100789633484075, 'n': 947, 'trace_an': 0}
  • id: 68132867
    {'hecke_orbit_code': 126100789633484075, 'n': 953, 'trace_an': 0}
  • id: 68132868
    {'hecke_orbit_code': 126100789633484075, 'n': 961, 'trace_an': -48984}
  • id: 68132869
    {'hecke_orbit_code': 126100789633484075, 'n': 967, 'trace_an': -10788}
  • id: 68132870
    {'hecke_orbit_code': 126100789633484075, 'n': 971, 'trace_an': -9450}
  • id: 68132871
    {'hecke_orbit_code': 126100789633484075, 'n': 977, 'trace_an': 0}
  • id: 68132872
    {'hecke_orbit_code': 126100789633484075, 'n': 983, 'trace_an': -47112}
  • id: 68132873
    {'hecke_orbit_code': 126100789633484075, 'n': 991, 'trace_an': 81480}
  • id: 68132874
    {'hecke_orbit_code': 126100789633484075, 'n': 997, 'trace_an': 0}