Embedded newform data - 1521.4.a.bd.1.3

Formats: - HTML - YAML - JSON - 2024-04-24T14:48:29.102788

• 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': 30, 'hecke_orbit_code': 130604389260854769, '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.bd', '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-\\beta _{5}+\\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': 1145788582467215636, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.038', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.197', 'prec': 17}, {'__RealLiteral__': 0, 'data': '270.780', 'prec': 24}, {'__RealLiteral__': 0, 'data': '472.781', 'prec': 24}, {'__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, 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842064, 0, 0], 'weight': 4, '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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-0.2471472400822353, -0.41213492712815536, -0.3311991488969377, -0.2315174024702824, -0.23786325651628154, -0.1974324615465706, -0.31161010031305997, -0.31722973875496374, -0.3633551252869443, -0.32313483074243604, -0.24560827075192052, -0.2324951670723809, -0.13190030320062765, -0.2884289127389809, -0.18253171989687292, -0.11288403965087704, -0.1461760165386147, -0.26649314650150063, -0.19113363095623598, -0.2858899142018168, -0.17133514013199103, -0.17446053665690525, -0.21425832930224414, -0.2944173283829562, -0.2415466682513616], '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': -2.7562770486696615, 'hecke_orbit': 30, 'hecke_orbit_code': 130604389260854769, 'label': '1521.4.a.bd.1.3', '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: 48719166
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 130604389260854769, 'source_is_minimal': False, 'source_label': '1521.4.a.bd.1.3', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 130604389260854769, 'target_is_minimal': False, 'target_label': '1521.4.a.bd.1.3', 'target_level': 1521, 'twist_class_label': '117.4.g.f.55.3', 'twist_class_level': 117, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48719167
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 130604389260854769, 'source_is_minimal': False, 'source_label': '1521.4.a.bd.1.3', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 130604389260854769, 'target_is_minimal': False, 'target_label': '1521.4.a.bd.1.6', 'target_level': 1521, 'twist_class_label': '117.4.g.f.55.3', 'twist_class_level': 117, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48719168
    {'conductor': 13, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 130604389260854769, 'source_is_minimal': False, 'source_label': '1521.4.a.bd.1.3', 'source_level': 1521, 'target_conrey_index': 55, 'target_dim': 16, 'target_embedding_index': 3, 'target_hecke_orbit_code': 22518410520821877, 'target_is_minimal': True, 'target_label': '117.4.g.f.55.3', 'target_level': 117, 'twist_class_label': '117.4.g.f.55.3', 'twist_class_level': 117, 'twisting_char_label': '13.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 48719169
    {'conductor': 13, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 130604389260854769, 'source_is_minimal': False, 'source_label': '1521.4.a.bd.1.3', 'source_level': 1521, 'target_conrey_index': 100, 'target_dim': 16, 'target_embedding_index': 3, 'target_hecke_orbit_code': 22518410520821877, 'target_is_minimal': True, 'target_label': '117.4.g.f.100.3', 'target_level': 117, 'twist_class_label': '117.4.g.f.55.3', 'twist_class_level': 117, 'twisting_char_label': '13.10', 'twisting_conrey_index': 10, 'weight': 4}
  • id: 48719170
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 130604389260854769, 'source_is_minimal': False, 'source_label': '1521.4.a.bd.1.3', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 126100789633484273, 'target_is_minimal': False, 'target_label': '1521.4.a.bc.1.6', 'target_level': 1521, 'twist_class_label': '117.4.g.f.55.3', 'twist_class_level': 117, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 4}
  • id: 48719171
    {'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 130604389260854769, 'source_is_minimal': False, 'source_label': '1521.4.a.bd.1.3', 'source_level': 1521, 'target_conrey_index': 55, 'target_dim': 16, 'target_embedding_index': 6, 'target_hecke_orbit_code': 22518410520821877, 'target_is_minimal': True, 'target_label': '117.4.g.f.55.6', 'target_level': 117, 'twist_class_label': '117.4.g.f.55.3', 'twist_class_level': 117, 'twisting_char_label': '39.17', 'twisting_conrey_index': 17, 'weight': 4}
  • id: 48719172
    {'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 130604389260854769, 'source_is_minimal': False, 'source_label': '1521.4.a.bd.1.3', 'source_level': 1521, 'target_conrey_index': 100, 'target_dim': 16, 'target_embedding_index': 6, 'target_hecke_orbit_code': 22518410520821877, 'target_is_minimal': True, 'target_label': '117.4.g.f.100.6', 'target_level': 117, 'twist_class_label': '117.4.g.f.55.3', 'twist_class_level': 117, 'twisting_char_label': '39.23', 'twisting_conrey_index': 23, 'weight': 4}
  • id: 48719173
    {'conductor': 39, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 130604389260854769, 'source_is_minimal': False, 'source_label': '1521.4.a.bd.1.3', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 126100789633484273, 'target_is_minimal': False, 'target_label': '1521.4.a.bc.1.3', 'target_level': 1521, 'twist_class_label': '117.4.g.f.55.3', '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: 2010875
    {'charpoly_factorization': [[[4992, 0, -4210, 0, 805, 0, -52, 0, 1], 1]], 'hecke_orbit_code': 130604389260854769, 'p': 2}
  • id: 2010876
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 130604389260854769, 'p': 3}
  • id: 2010877
    {'charpoly_factorization': [[[909792, 0, -9287935, 0, 140795, 0, -677, 0, 1], 1]], 'hecke_orbit_code': 130604389260854769, 'p': 5}
  • id: 2010878
    {'charpoly_factorization': [[[-39884, 10894, -700, -11, 1], 2]], 'hecke_orbit_code': 130604389260854769, 'p': 7}
  • id: 2010879
    {'charpoly_factorization': [[[17384221390848, 0, -43487820784, 0, 32667060, 0, -9720, 0, 1], 1]], 'hecke_orbit_code': 130604389260854769, 'p': 11}
  • id: 2010880
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 130604389260854769, 'p': 13}
  • id: 2010881
    {'charpoly_factorization': [[[30103640387808, 0, -651421579471, 0, 258379615, 0, -29425, 0, 1], 1]], 'hecke_orbit_code': 130604389260854769, 'p': 17}
  • id: 2010882
    {'charpoly_factorization': [[[14520480, -912340, -8174, 122, 1], 2]], 'hecke_orbit_code': 130604389260854769, 'p': 19}
  • id: 2010883
    {'charpoly_factorization': [[[203262208261632, 0, -1067230011120, 0, 423060820, 0, -46352, 0, 1], 1]], 'hecke_orbit_code': 130604389260854769, 'p': 23}
  • id: 2010884
    {'charpoly_factorization': [[[2443114153959648, 0, -98044155108991, 0, 6428156475, 0, -139365, 0, 1], 1]], 'hecke_orbit_code': 130604389260854769, 'p': 29}
  • id: 2010885
    {'charpoly_factorization': [[[-349762400, -9416680, -54236, 121, 1], 2]], 'hecke_orbit_code': 130604389260854769, 'p': 31}
  • id: 2010886
    {'charpoly_factorization': [[[-1178984222, -13409747, 30151, 509, 1], 2]], 'hecke_orbit_code': 130604389260854769, 'p': 37}
  • id: 2010887
    {'charpoly_factorization': [[[1413377694781857792, 0, -373853799380319, 0, 15689863903, 0, -225537, 0, 1], 1]], 'hecke_orbit_code': 130604389260854769, 'p': 41}
  • id: 2010888
    {'charpoly_factorization': [[[1323590892, 9405806, -146172, -37, 1], 2]], 'hecke_orbit_code': 130604389260854769, 'p': 43}
  • id: 2010889
    {'charpoly_factorization': [[[3635767794327552, 0, -5195243711088, 0, 1993266196, 0, -157456, 0, 1], 1]], 'hecke_orbit_code': 130604389260854769, 'p': 47}
  • id: 2010890
    {'charpoly_factorization': [[[44885740975955987328, 0, -12661889468085351, 0, 169772476939, 0, -733517, 0, 1], 1]], 'hecke_orbit_code': 130604389260854769, 'p': 53}
  • id: 2010891
    {'charpoly_factorization': [[[1842284918970482688, 0, -435605117494272, 0, 26224399168, 0, -445056, 0, 1], 1]], 'hecke_orbit_code': 130604389260854769, 'p': 59}
  • id: 2010892
    {'charpoly_factorization': [[[684529261, 24750934, -70694, -574, 1], 2]], 'hecke_orbit_code': 130604389260854769, 'p': 61}
  • id: 2010893
    {'charpoly_factorization': [[[2700497644, 51551890, 97564, -1099, 1], 2]], 'hecke_orbit_code': 130604389260854769, 'p': 67}
  • id: 2010894
    {'charpoly_factorization': [[[12461392929148281331200, 0, -198866928707067120, 0, 1009047495508, 0, -1791632, 0, 1], 1]], 'hecke_orbit_code': 130604389260854769, 'p': 71}
  • id: 2010895
    {'charpoly_factorization': [[[20997802657, 201832384, -53026, -1088, 1], 2]], 'hecke_orbit_code': 130604389260854769, 'p': 73}
  • id: 2010896
    {'charpoly_factorization': [[[-9861650240, 38445680, 176852, -931, 1], 2]], 'hecke_orbit_code': 130604389260854769, 'p': 79}
  • id: 2010897
    {'charpoly_factorization': [[[23124517672693612032, 0, -3867881158462960, 0, 106420097140, 0, -870232, 0, 1], 1]], 'hecke_orbit_code': 130604389260854769, 'p': 83}
  • id: 2010898
    {'charpoly_factorization': [[[141310845915837411360768, 0, -1139472953562505216, 0, 2987995030784, 0, -3056192, 0, 1], 1]], 'hecke_orbit_code': 130604389260854769, 'p': 89}
  • id: 2010899
    {'charpoly_factorization': [[[291511171744, 1583504416, -159374, -2185, 1], 2]], 'hecke_orbit_code': 130604389260854769, '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': 30, 'label': '1521.4.a.bd', 'level': 1521, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 265270000
    {'hecke_orbit_code': 130604389260854769, 'n': 1, 'trace_an': 8}
  • id: 265270001
    {'hecke_orbit_code': 130604389260854769, 'n': 2, 'trace_an': 0}
  • id: 265270002
    {'hecke_orbit_code': 130604389260854769, 'n': 3, 'trace_an': 0}
  • id: 265270003
    {'hecke_orbit_code': 130604389260854769, 'n': 4, 'trace_an': 40}
  • id: 265270004
    {'hecke_orbit_code': 130604389260854769, 'n': 5, 'trace_an': 0}
  • id: 265270005
    {'hecke_orbit_code': 130604389260854769, 'n': 6, 'trace_an': 0}
  • id: 265270006
    {'hecke_orbit_code': 130604389260854769, 'n': 7, 'trace_an': 22}
  • id: 265270007
    {'hecke_orbit_code': 130604389260854769, 'n': 8, 'trace_an': 0}
  • id: 265270008
    {'hecke_orbit_code': 130604389260854769, 'n': 9, 'trace_an': 0}
  • id: 265270009
    {'hecke_orbit_code': 130604389260854769, 'n': 10, 'trace_an': 36}
  • id: 265270010
    {'hecke_orbit_code': 130604389260854769, 'n': 11, 'trace_an': 0}
  • id: 265270011
    {'hecke_orbit_code': 130604389260854769, 'n': 12, 'trace_an': 0}
  • id: 265270012
    {'hecke_orbit_code': 130604389260854769, 'n': 13, 'trace_an': 0}
  • id: 265270013
    {'hecke_orbit_code': 130604389260854769, 'n': 14, 'trace_an': 0}
  • id: 265270014
    {'hecke_orbit_code': 130604389260854769, 'n': 15, 'trace_an': 0}
  • id: 265270015
    {'hecke_orbit_code': 130604389260854769, 'n': 16, 'trace_an': 204}
  • id: 265270016
    {'hecke_orbit_code': 130604389260854769, 'n': 17, 'trace_an': 0}
  • id: 265270017
    {'hecke_orbit_code': 130604389260854769, 'n': 18, 'trace_an': 0}
  • id: 265270018
    {'hecke_orbit_code': 130604389260854769, 'n': 19, 'trace_an': -244}
  • id: 265270019
    {'hecke_orbit_code': 130604389260854769, 'n': 20, 'trace_an': 0}
  • id: 265270020
    {'hecke_orbit_code': 130604389260854769, 'n': 21, 'trace_an': 0}
  • id: 265270021
    {'hecke_orbit_code': 130604389260854769, 'n': 22, 'trace_an': 136}
  • id: 265270022
    {'hecke_orbit_code': 130604389260854769, 'n': 23, 'trace_an': 0}
  • id: 265270023
    {'hecke_orbit_code': 130604389260854769, 'n': 24, 'trace_an': 0}
  • id: 265270024
    {'hecke_orbit_code': 130604389260854769, 'n': 25, 'trace_an': 354}
  • id: 265270025
    {'hecke_orbit_code': 130604389260854769, 'n': 26, 'trace_an': 0}
  • id: 265270026
    {'hecke_orbit_code': 130604389260854769, 'n': 27, 'trace_an': 0}
  • id: 265270027
    {'hecke_orbit_code': 130604389260854769, 'n': 28, 'trace_an': 452}
  • id: 265270028
    {'hecke_orbit_code': 130604389260854769, 'n': 29, 'trace_an': 0}
  • id: 265270029
    {'hecke_orbit_code': 130604389260854769, 'n': 30, 'trace_an': 0}
  • id: 265270030
    {'hecke_orbit_code': 130604389260854769, 'n': 31, 'trace_an': -242}
  • id: 265270031
    {'hecke_orbit_code': 130604389260854769, 'n': 32, 'trace_an': 0}
  • id: 265270032
    {'hecke_orbit_code': 130604389260854769, 'n': 33, 'trace_an': 0}
  • id: 265270033
    {'hecke_orbit_code': 130604389260854769, 'n': 34, 'trace_an': 1292}
  • id: 265270034
    {'hecke_orbit_code': 130604389260854769, 'n': 35, 'trace_an': 0}
  • id: 265270035
    {'hecke_orbit_code': 130604389260854769, 'n': 36, 'trace_an': 0}
  • id: 265270036
    {'hecke_orbit_code': 130604389260854769, 'n': 37, 'trace_an': -1018}
  • id: 265270037
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  • id: 265270042
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  • id: 265270054
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  • id: 265270069
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    {'hecke_orbit_code': 130604389260854769, 'n': 991, 'trace_an': 60868}
  • id: 265270991
    {'hecke_orbit_code': 130604389260854769, 'n': 992, 'trace_an': 0}
  • id: 265270992
    {'hecke_orbit_code': 130604389260854769, 'n': 993, 'trace_an': 0}
  • id: 265270993
    {'hecke_orbit_code': 130604389260854769, 'n': 994, 'trace_an': -37256}
  • id: 265270994
    {'hecke_orbit_code': 130604389260854769, 'n': 995, 'trace_an': 0}
  • id: 265270995
    {'hecke_orbit_code': 130604389260854769, 'n': 996, 'trace_an': 0}
  • id: 265270996
    {'hecke_orbit_code': 130604389260854769, 'n': 997, 'trace_an': 138180}
  • id: 265270997
    {'hecke_orbit_code': 130604389260854769, 'n': 998, 'trace_an': 0}
  • id: 265270998
    {'hecke_orbit_code': 130604389260854769, 'n': 999, 'trace_an': 0}
  • id: 265270999
    {'hecke_orbit_code': 130604389260854769, 'n': 1000, 'trace_an': -66796}