Embedded newform data - 1521.4.a.bc.1.1

Formats: - HTML - YAML - JSON - 2024-04-19T13:18:36.485626

• 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': 24336, 'analytic_conductor': 89.74190511873148, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 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': [1521, 1, [677, 847], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 8, 'field_disc': 283563140484249282508800, 'field_disc_factorization': [[2, 11], [3, 1], [5, 2], [13, 3], [29, 2], [199, 2], [5023, 2]], 'field_poly': [4992, 0, -4210, 0, 805, 0, -52, 0, 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, [4992, 0, -4210, 0, 805, 0, -52, 0, 1]], [5, [909792, 0, -9287935, 0, 140795, 0, -677, 0, 1]], [7, [-39884, -10894, -700, 11, 1]]], 'hecke_orbit': 29, 'hecke_orbit_code': 126100789633484273, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1521.4.a.bc', 'level': 1521, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 13], 'level_radical': 39, 'minimal_twist': '117.4.g.f', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{2}+(5+\\beta _{2})q^{4}+\\beta _{3}q^{5}+(-3+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1521.4.a', 'trace_display': [0, 0, 0, -22], 'trace_hash': 531116349594350215, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.175', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.038', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.561', 'prec': 17}, {'__RealLiteral__': 0, 'data': '270.780', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '16008.317', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.510', 'prec': 17}, 'traces': [8, 0, 0, 40, 0, 0, -22, 0, 0, 36, 0, 0, 0, 0, 0, 204, 0, 0, 244, 0, 0, 136, 0, 0, 354, 0, 0, -452, 0, 0, 242, 0, 0, -1292, 0, 0, 1018, 0, 0, 1700, 0, 0, 74, 0, 0, -896, 0, 0, 298, 0, 0, 0, 0, 0, 1300, 0, 0, 812, 0, 0, 1148, 0, 0, 3636, 0, 0, -2198, 0, 0, 2200, 0, 0, -2176, 0, 0, 6936, 0, 0, 1862, 0, 0, 5436, 0, 0, -890, 0, 0, 3528, 0, 0, 0, 0, 0, -3104, 0, 0, -4370, 0, 0, 4180, 0, 0, 3450, 0, 0, -5596, 0, 0, 4854, 0, 0, -2952, 0, 0, 6132, 0, 0, 576, 0, 0, 8792, 0, 0, 4772, 0, 0, 710, 0, 0, 0, 0, 0, -6048, 0, 0, -20716, 0, 0, 5210, 0, 0, 14464, 0, 0, 2, 0, 0, 13444, 0, 0, -4308, 0, 0, 18104, 0, 0, -4836, 0, 0, 27844, 0, 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'weight_parity': 1}
• 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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'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': -5.39588999422166, 'hecke_orbit': 29, 'hecke_orbit_code': 126100789633484273, 'label': '1521.4.a.bc.1.1', 'level': 1521, 'weight': 4}
• 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': [[[[3, -1], [13, -1]], 57, 12], [[[3, -1], [13, 1]], 54, 18], [[[3, 1], [13, -1]], 36, 4], [[[3, 1], [13, 1]], 41, 6]], 'ALdims': [41, 36, 54, 57], 'Nk2': 24336, 'analytic_conductor': 89.74190511873148, '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': [1521, 1, [677, 847], [1, 1]], 'conrey_index': 1, 'cusp_dim': 518, 'dim': 188, 'eis_dim': 56, 'eis_new_dim': 11, 'hecke_cutter_primes': [2, 5, 7], 'hecke_orbit_code': 67110385, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 4, 4, 4, 4, 4, 4, 4, 8, 8, 9, 9, 9, 9, 9, 9, 10, 12, 18, 18], 'label': '1521.4.a', 'level': 1521, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 13], 'level_radical': 39, 'mf_dim': 574, 'mf_new_dim': 199, 'num_forms': 40, 'plus_dim': 98, 'prim_orbit_index': 1, 'relative_dim': 188, 'sturm_bound': 728, 'trace_bound': 17, 'trace_display': [0, 0, 6, -22], 'traces': [188, 0, 0, 718, 6, 0, -22, 0, 0, 90, -42, 0, 0, -86, 0, 2658, 34, 0, 106, -192, 0, -64, -80, 0, 3958, 0, 0, -728, 356, 0, 422, -180, 0, 184, 388, 0, -188, 1146, 0, 1502, 402, 0, 6, -600, 0, 1996, 282, 0, 8648, -144, 0, 0, -980, 0, -404, -784, 0, 1172, -1734, 0, -1906, -638, 0, 6636, 0, 0, -1298, 3120, 0, 3388, -1098, 0, 680, 3364, 0, 2112, 2852, 0, 624, -1392, 0, -498, -1422, 0, 712, 5004, 0, -768, -534, 0, 0, -2052, 0, -5110, -3852, 0, -428, -5424, 0, 9524, 1124, 0, -2288, 0, 0, 3788, 590, 0, -2880, -6156, 0, -11568, 7470, 0, -2820, 4724, 0, -282, -6084, 0, 20034, 1848, 0, 5840, 9552, 0, -10860, -2784, 0, 0, -578, 0, -3392, -8822, 0, 9368, -5226, 0, -10094, 2766, 0, 642, 0, 0, 7136, 4270, 0, -7460, -1830, 0, -6630, 17274, 0, 1940, 8340, 0, -2578, -11244, 0, 24678, 2316, 0, 6210, 22428, 0, 2492, -1278, 0, 0, 8562, 0, -3500, 798, 0, -66, -14592, 0, -7488, 5226, 0, 3030, 0, 0, 26796, 12942, 0, 7344, 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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: 48690303
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633484273, 'source_is_minimal': False, 'source_label': '1521.4.a.bc.1.1', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 126100789633484273, 'target_is_minimal': False, 'target_label': '1521.4.a.bc.1.1', 'target_level': 1521, 'twist_class_label': '117.4.g.f.55.1', 'twist_class_level': 117, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48690304
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633484273, 'source_is_minimal': False, 'source_label': '1521.4.a.bc.1.1', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 8, 'target_hecke_orbit_code': 126100789633484273, 'target_is_minimal': False, 'target_label': '1521.4.a.bc.1.8', 'target_level': 1521, 'twist_class_label': '117.4.g.f.55.1', 'twist_class_level': 117, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48690305
    {'conductor': 13, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633484273, 'source_is_minimal': False, 'source_label': '1521.4.a.bc.1.1', 'source_level': 1521, 'target_conrey_index': 100, 'target_dim': 16, 'target_embedding_index': 8, 'target_hecke_orbit_code': 22518410520821877, 'target_is_minimal': True, 'target_label': '117.4.g.f.100.8', 'target_level': 117, 'twist_class_label': '117.4.g.f.55.1', 'twist_class_level': 117, 'twisting_char_label': '13.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48690306
    {'conductor': 13, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633484273, 'source_is_minimal': False, 'source_label': '1521.4.a.bc.1.1', 'source_level': 1521, 'target_conrey_index': 55, 'target_dim': 16, 'target_embedding_index': 8, 'target_hecke_orbit_code': 22518410520821877, 'target_is_minimal': True, 'target_label': '117.4.g.f.55.8', 'target_level': 117, 'twist_class_label': '117.4.g.f.55.1', 'twist_class_level': 117, 'twisting_char_label': '13.9', 'twisting_conrey_index': 9, 'weight': 4}
  • id: 48690307
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633484273, 'source_is_minimal': False, 'source_label': '1521.4.a.bc.1.1', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 8, 'target_hecke_orbit_code': 130604389260854769, 'target_is_minimal': False, 'target_label': '1521.4.a.bd.1.8', 'target_level': 1521, 'twist_class_label': '117.4.g.f.55.1', 'twist_class_level': 117, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 4}
  • id: 48690308
    {'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633484273, 'source_is_minimal': False, 'source_label': '1521.4.a.bc.1.1', 'source_level': 1521, 'target_conrey_index': 100, 'target_dim': 16, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518410520821877, 'target_is_minimal': True, 'target_label': '117.4.g.f.100.1', 'target_level': 117, 'twist_class_label': '117.4.g.f.55.1', 'twist_class_level': 117, 'twisting_char_label': '39.29', 'twisting_conrey_index': 29, 'weight': 4}
  • id: 48690309
    {'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633484273, 'source_is_minimal': False, 'source_label': '1521.4.a.bc.1.1', 'source_level': 1521, 'target_conrey_index': 55, 'target_dim': 16, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518410520821877, 'target_is_minimal': True, 'target_label': '117.4.g.f.55.1', 'target_level': 117, 'twist_class_label': '117.4.g.f.55.1', 'twist_class_level': 117, 'twisting_char_label': '39.35', 'twisting_conrey_index': 35, 'weight': 4}
  • id: 48690310
    {'conductor': 39, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633484273, 'source_is_minimal': False, 'source_label': '1521.4.a.bc.1.1', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 130604389260854769, 'target_is_minimal': False, 'target_label': '1521.4.a.bd.1.1', 'target_level': 1521, 'twist_class_label': '117.4.g.f.55.1', 'twist_class_level': 117, 'twisting_char_label': '39.38', 'twisting_conrey_index': 38, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2010825
    {'charpoly_factorization': [[[4992, 0, -4210, 0, 805, 0, -52, 0, 1], 1]], 'hecke_orbit_code': 126100789633484273, 'p': 2}
  • id: 2010826
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 126100789633484273, 'p': 3}
  • id: 2010827
    {'charpoly_factorization': [[[909792, 0, -9287935, 0, 140795, 0, -677, 0, 1], 1]], 'hecke_orbit_code': 126100789633484273, 'p': 5}
  • id: 2010828
    {'charpoly_factorization': [[[-39884, -10894, -700, 11, 1], 2]], 'hecke_orbit_code': 126100789633484273, 'p': 7}
  • id: 2010829
    {'charpoly_factorization': [[[17384221390848, 0, -43487820784, 0, 32667060, 0, -9720, 0, 1], 1]], 'hecke_orbit_code': 126100789633484273, 'p': 11}
  • id: 2010830
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 126100789633484273, 'p': 13}
  • id: 2010831
    {'charpoly_factorization': [[[30103640387808, 0, -651421579471, 0, 258379615, 0, -29425, 0, 1], 1]], 'hecke_orbit_code': 126100789633484273, 'p': 17}
  • id: 2010832
    {'charpoly_factorization': [[[14520480, 912340, -8174, -122, 1], 2]], 'hecke_orbit_code': 126100789633484273, 'p': 19}
  • id: 2010833
    {'charpoly_factorization': [[[203262208261632, 0, -1067230011120, 0, 423060820, 0, -46352, 0, 1], 1]], 'hecke_orbit_code': 126100789633484273, 'p': 23}
  • id: 2010834
    {'charpoly_factorization': [[[2443114153959648, 0, -98044155108991, 0, 6428156475, 0, -139365, 0, 1], 1]], 'hecke_orbit_code': 126100789633484273, 'p': 29}
  • id: 2010835
    {'charpoly_factorization': [[[-349762400, 9416680, -54236, -121, 1], 2]], 'hecke_orbit_code': 126100789633484273, 'p': 31}
  • id: 2010836
    {'charpoly_factorization': [[[-1178984222, 13409747, 30151, -509, 1], 2]], 'hecke_orbit_code': 126100789633484273, 'p': 37}
  • id: 2010837
    {'charpoly_factorization': [[[1413377694781857792, 0, -373853799380319, 0, 15689863903, 0, -225537, 0, 1], 1]], 'hecke_orbit_code': 126100789633484273, 'p': 41}
  • id: 2010838
    {'charpoly_factorization': [[[1323590892, 9405806, -146172, -37, 1], 2]], 'hecke_orbit_code': 126100789633484273, 'p': 43}
  • id: 2010839
    {'charpoly_factorization': [[[3635767794327552, 0, -5195243711088, 0, 1993266196, 0, -157456, 0, 1], 1]], 'hecke_orbit_code': 126100789633484273, 'p': 47}
  • id: 2010840
    {'charpoly_factorization': [[[44885740975955987328, 0, -12661889468085351, 0, 169772476939, 0, -733517, 0, 1], 1]], 'hecke_orbit_code': 126100789633484273, 'p': 53}
  • id: 2010841
    {'charpoly_factorization': [[[1842284918970482688, 0, -435605117494272, 0, 26224399168, 0, -445056, 0, 1], 1]], 'hecke_orbit_code': 126100789633484273, 'p': 59}
  • id: 2010842
    {'charpoly_factorization': [[[684529261, 24750934, -70694, -574, 1], 2]], 'hecke_orbit_code': 126100789633484273, 'p': 61}
  • id: 2010843
    {'charpoly_factorization': [[[2700497644, -51551890, 97564, 1099, 1], 2]], 'hecke_orbit_code': 126100789633484273, 'p': 67}
  • id: 2010844
    {'charpoly_factorization': [[[12461392929148281331200, 0, -198866928707067120, 0, 1009047495508, 0, -1791632, 0, 1], 1]], 'hecke_orbit_code': 126100789633484273, 'p': 71}
  • id: 2010845
    {'charpoly_factorization': [[[20997802657, -201832384, -53026, 1088, 1], 2]], 'hecke_orbit_code': 126100789633484273, 'p': 73}
  • id: 2010846
    {'charpoly_factorization': [[[-9861650240, 38445680, 176852, -931, 1], 2]], 'hecke_orbit_code': 126100789633484273, 'p': 79}
  • id: 2010847
    {'charpoly_factorization': [[[23124517672693612032, 0, -3867881158462960, 0, 106420097140, 0, -870232, 0, 1], 1]], 'hecke_orbit_code': 126100789633484273, 'p': 83}
  • id: 2010848
    {'charpoly_factorization': [[[141310845915837411360768, 0, -1139472953562505216, 0, 2987995030784, 0, -3056192, 0, 1], 1]], 'hecke_orbit_code': 126100789633484273, 'p': 89}
  • id: 2010849
    {'charpoly_factorization': [[[291511171744, -1583504416, -159374, 2185, 1], 2]], 'hecke_orbit_code': 126100789633484273, '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': '1521.4.a.bc', 'level': 1521, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 264089000
    {'hecke_orbit_code': 126100789633484273, 'n': 1, 'trace_an': 8}
  • id: 264089001
    {'hecke_orbit_code': 126100789633484273, 'n': 2, 'trace_an': 0}
  • id: 264089002
    {'hecke_orbit_code': 126100789633484273, 'n': 3, 'trace_an': 0}
  • id: 264089003
    {'hecke_orbit_code': 126100789633484273, 'n': 4, 'trace_an': 40}
  • id: 264089004
    {'hecke_orbit_code': 126100789633484273, 'n': 5, 'trace_an': 0}
  • id: 264089005
    {'hecke_orbit_code': 126100789633484273, 'n': 6, 'trace_an': 0}
  • id: 264089006
    {'hecke_orbit_code': 126100789633484273, 'n': 7, 'trace_an': -22}
  • id: 264089007
    {'hecke_orbit_code': 126100789633484273, 'n': 8, 'trace_an': 0}
  • id: 264089008
    {'hecke_orbit_code': 126100789633484273, 'n': 9, 'trace_an': 0}
  • id: 264089009
    {'hecke_orbit_code': 126100789633484273, 'n': 10, 'trace_an': 36}
  • id: 264089010
    {'hecke_orbit_code': 126100789633484273, 'n': 11, 'trace_an': 0}
  • id: 264089011
    {'hecke_orbit_code': 126100789633484273, 'n': 12, 'trace_an': 0}
  • id: 264089012
    {'hecke_orbit_code': 126100789633484273, 'n': 13, 'trace_an': 0}
  • id: 264089013
    {'hecke_orbit_code': 126100789633484273, 'n': 14, 'trace_an': 0}
  • id: 264089014
    {'hecke_orbit_code': 126100789633484273, 'n': 15, 'trace_an': 0}
  • id: 264089015
    {'hecke_orbit_code': 126100789633484273, 'n': 16, 'trace_an': 204}
  • id: 264089016
    {'hecke_orbit_code': 126100789633484273, 'n': 17, 'trace_an': 0}
  • id: 264089017
    {'hecke_orbit_code': 126100789633484273, 'n': 18, 'trace_an': 0}
  • id: 264089018
    {'hecke_orbit_code': 126100789633484273, 'n': 19, 'trace_an': 244}
  • id: 264089019
    {'hecke_orbit_code': 126100789633484273, 'n': 20, 'trace_an': 0}
  • id: 264089020
    {'hecke_orbit_code': 126100789633484273, 'n': 21, 'trace_an': 0}
  • id: 264089021
    {'hecke_orbit_code': 126100789633484273, 'n': 22, 'trace_an': 136}
  • id: 264089022
    {'hecke_orbit_code': 126100789633484273, 'n': 23, 'trace_an': 0}
  • id: 264089023
    {'hecke_orbit_code': 126100789633484273, 'n': 24, 'trace_an': 0}
  • id: 264089024
    {'hecke_orbit_code': 126100789633484273, 'n': 25, 'trace_an': 354}
  • id: 264089025
    {'hecke_orbit_code': 126100789633484273, 'n': 26, 'trace_an': 0}
  • id: 264089026
    {'hecke_orbit_code': 126100789633484273, 'n': 27, 'trace_an': 0}
  • id: 264089027
    {'hecke_orbit_code': 126100789633484273, 'n': 28, 'trace_an': -452}
  • id: 264089028
    {'hecke_orbit_code': 126100789633484273, 'n': 29, 'trace_an': 0}
  • id: 264089029
    {'hecke_orbit_code': 126100789633484273, 'n': 30, 'trace_an': 0}
  • id: 264089030
    {'hecke_orbit_code': 126100789633484273, 'n': 31, 'trace_an': 242}
  • id: 264089031
    {'hecke_orbit_code': 126100789633484273, 'n': 32, 'trace_an': 0}
  • id: 264089032
    {'hecke_orbit_code': 126100789633484273, 'n': 33, 'trace_an': 0}
  • id: 264089033
    {'hecke_orbit_code': 126100789633484273, 'n': 34, 'trace_an': -1292}
  • id: 264089034
    {'hecke_orbit_code': 126100789633484273, 'n': 35, 'trace_an': 0}
  • id: 264089035
    {'hecke_orbit_code': 126100789633484273, 'n': 36, 'trace_an': 0}
  • id: 264089036
    {'hecke_orbit_code': 126100789633484273, 'n': 37, 'trace_an': 1018}
  • id: 264089037
    {'hecke_orbit_code': 126100789633484273, 'n': 38, 'trace_an': 0}
  • id: 264089038
    {'hecke_orbit_code': 126100789633484273, 'n': 39, 'trace_an': 0}
  • id: 264089039
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