Embedded newform data - 4032.3.d.n.449.4

Formats: - HTML - YAML - JSON - 2025-09-29T09:12:57.238383

• 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': 36288, 'analytic_conductor': 109.8640425900717, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 3, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [4032, 2, [127, 3781, 1793, 577], [2, 2, 1, 2]], 'cm_discs': [], 'conrey_index': 449, 'dim': 12, 'field_disc': 1101767667457668042194944, 'field_disc_factorization': [[2, 24], [7, 6], [541, 2], [1381, 2]], 'field_poly': [144, 0, 20000, 0, 17809, 0, 5356, 0, 719, 0, 44, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [65028096, 0, 42807296, 0, 7709440, 0, 541888, 0, 16196, 0, 212, 0, 1]], [11, [1230045184, 0, 838893568, 0, 160467216, 0, 7948640, 0, 133080, 0, 664, 0, 1]], [19, [950272, -28672, -82688, -9984, -80, 32, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58547001364582336, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 8192, 'hecke_ring_index_factorization': [[2, 13]], '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_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '4032.3.d.n', 'level': 4032, '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': '2016.3.d.e', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{8}q^{5}-\\beta _{4}q^{7}-\\beta _{6}q^{11}+(-1-\\beta _{9}+\\cdots)q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '2.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4032.3.d', 'trace_display': [0, 0, 0, 0], 'trace_hash': 2297288257945032242, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.017', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '529.213', 'prec': 24}, {'__RealLiteral__': 0, 'data': '14.259', 'prec': 20}, {'__RealLiteral__': 0, 'data': '42543.556', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.510', 'prec': 17}, 'traces': [12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -124, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -608, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 124, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 1024, 0, 0, 0, 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0, 3584, 0, 0, 0, 0, 0, -20440, 0, 0, 0, 0, 0, 18976, 0, 0, 0, 0, 0, 1656, 0, 0, 0, 0, 0, -2432, 0, 0, 0, 0, 0, 18208, 0, 0, 0, 0, 0, -3904, 0, 0, 0, 0, 0, -728, 0, 0, 0, 0, 0, 3584, 0, 0, 0, 0, 0], 'weight': 3, '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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• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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

  
  {'Nk2': 36288, 'analytic_conductor': 109.8640425900717, 'char_conductor': 3, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [4032, 2, [127, 3781, 1793, 577], [2, 2, 1, 2]], 'conrey_index': 449, 'cusp_dim': 1488, 'dim': 96, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 19], 'hecke_orbit_code': 206208765888, 'hecke_orbit_dims': [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 8, 8, 12, 12, 12], 'label': '4032.3.d', 'level': 4032, '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': 1584, 'mf_new_dim': 96, 'num_forms': 16, 'prim_orbit_index': 2, 'relative_dim': 96, 'sturm_bound': 2304, 'trace_bound': 19, 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1056, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3584, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2624, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3424, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1088, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6784, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3936, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7936, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2048, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -736, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1664, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8064, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11776, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3744, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4992, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9024, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1024, 0, 0, 0], 'weight': 3, '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: 47723546
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 449, 'source_dim': 12, 'source_embedding_index': 4, 'source_hecke_orbit_code': 58547001364582336, 'source_is_minimal': False, 'source_label': '4032.3.d.n.449.4', 'source_level': 4032, 'target_conrey_index': 449, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 58547001364582336, 'target_is_minimal': False, 'target_label': '4032.3.d.n.449.4', 'target_level': 4032, 'twist_class_label': '2016.3.d.e.449.4', 'twist_class_level': 2016, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 47723547
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 449, 'source_dim': 12, 'source_embedding_index': 4, 'source_hecke_orbit_code': 58547001364582336, 'source_is_minimal': False, 'source_label': '4032.3.d.n.449.4', 'source_level': 4032, 'target_conrey_index': 449, 'target_dim': 12, 'target_embedding_index': 9, 'target_hecke_orbit_code': 58547001364582336, 'target_is_minimal': False, 'target_label': '4032.3.d.n.449.9', 'target_level': 4032, 'twist_class_label': '2016.3.d.e.449.4', 'twist_class_level': 2016, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 47723548
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 449, 'source_dim': 12, 'source_embedding_index': 4, 'source_hecke_orbit_code': 58547001364582336, 'source_is_minimal': False, 'source_label': '4032.3.d.n.449.4', 'source_level': 4032, 'target_conrey_index': 449, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 63050600991952832, 'target_is_minimal': False, 'target_label': '4032.3.d.o.449.4', 'target_level': 4032, 'twist_class_label': '2016.3.d.e.449.4', 'twist_class_level': 2016, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 47723549
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 449, 'source_dim': 12, 'source_embedding_index': 4, 'source_hecke_orbit_code': 58547001364582336, 'source_is_minimal': False, 'source_label': '4032.3.d.n.449.4', 'source_level': 4032, 'target_conrey_index': 449, 'target_dim': 12, 'target_embedding_index': 9, 'target_hecke_orbit_code': 18014604718245856, 'target_is_minimal': True, 'target_label': '2016.3.d.e.449.9', 'target_level': 2016, 'twist_class_label': '2016.3.d.e.449.4', 'twist_class_level': 2016, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 47723550
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 449, 'source_dim': 12, 'source_embedding_index': 4, 'source_hecke_orbit_code': 58547001364582336, 'source_is_minimal': False, 'source_label': '4032.3.d.n.449.4', 'source_level': 4032, 'target_conrey_index': 449, 'target_dim': 12, 'target_embedding_index': 9, 'target_hecke_orbit_code': 22518204345616352, 'target_is_minimal': True, 'target_label': '2016.3.d.f.449.9', 'target_level': 2016, 'twist_class_label': '2016.3.d.e.449.4', 'twist_class_level': 2016, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 47723551
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 449, 'source_dim': 12, 'source_embedding_index': 4, 'source_hecke_orbit_code': 58547001364582336, 'source_is_minimal': False, 'source_label': '4032.3.d.n.449.4', 'source_level': 4032, 'target_conrey_index': 449, 'target_dim': 12, 'target_embedding_index': 9, 'target_hecke_orbit_code': 63050600991952832, 'target_is_minimal': False, 'target_label': '4032.3.d.o.449.9', 'target_level': 4032, 'twist_class_label': '2016.3.d.e.449.4', 'twist_class_level': 2016, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 3}
  • id: 47723552
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 449, 'source_dim': 12, 'source_embedding_index': 4, 'source_hecke_orbit_code': 58547001364582336, 'source_is_minimal': False, 'source_label': '4032.3.d.n.449.4', 'source_level': 4032, 'target_conrey_index': 449, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 22518204345616352, 'target_is_minimal': True, 'target_label': '2016.3.d.f.449.4', 'target_level': 2016, 'twist_class_label': '2016.3.d.e.449.4', 'twist_class_level': 2016, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 47723553
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 449, 'source_dim': 12, 'source_embedding_index': 4, 'source_hecke_orbit_code': 58547001364582336, 'source_is_minimal': False, 'source_label': '4032.3.d.n.449.4', 'source_level': 4032, 'target_conrey_index': 449, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18014604718245856, 'target_is_minimal': True, 'target_label': '2016.3.d.e.449.4', 'target_level': 2016, 'twist_class_label': '2016.3.d.e.449.4', 'twist_class_level': 2016, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3479875
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 58547001364582336, 'p': 2}
  • id: 3479876
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 58547001364582336, 'p': 3}
  • id: 3479877
    {'charpoly_factorization': [[[65028096, 0, 42807296, 0, 7709440, 0, 541888, 0, 16196, 0, 212, 0, 1], 1]], 'hecke_orbit_code': 58547001364582336, 'p': 5}
  • id: 3479878
    {'charpoly_factorization': [[[-7, 0, 1], 6]], 'hecke_orbit_code': 58547001364582336, 'p': 7}
  • id: 3479879
    {'charpoly_factorization': [[[1230045184, 0, 838893568, 0, 160467216, 0, 7948640, 0, 133080, 0, 664, 0, 1], 1]], 'hecke_orbit_code': 58547001364582336, 'p': 11}
  • id: 3479880
    {'charpoly_factorization': [[[-60416, -94720, 40080, -1760, -456, 8, 1], 2]], 'hecke_orbit_code': 58547001364582336, 'p': 13}
  • id: 3479881
    {'charpoly_factorization': [[[3455672795136, 0, 449744678912, 0, 15557333760, 0, 214120384, 0, 1194692, 0, 2004, 0, 1], 1]], 'hecke_orbit_code': 58547001364582336, 'p': 17}
  • id: 3479882
    {'charpoly_factorization': [[[950272, -28672, -82688, -9984, -80, 32, 1], 2]], 'hecke_orbit_code': 58547001364582336, 'p': 19}
  • id: 3479883
    {'charpoly_factorization': [[[1496766283776, 0, 3985217298432, 0, 107752008208, 0, 865819616, 0, 2572440, 0, 2936, 0, 1], 1]], 'hecke_orbit_code': 58547001364582336, 'p': 23}
  • id: 3479884
    {'charpoly_factorization': [[[71780341739584, 0, 82032919820480, 0, 2424798992624, 0, 8524831904, 0, 10650428, 0, 5516, 0, 1], 1]], 'hecke_orbit_code': 58547001364582336, 'p': 29}
  • id: 3479885
    {'charpoly_factorization': [[[273825792, -32559104, -2438912, 179712, -912, -80, 1], 2]], 'hecke_orbit_code': 58547001364582336, 'p': 31}
  • id: 3479886
    {'charpoly_factorization': [[[-10693632, 4108288, 954496, -33088, -2236, 28, 1], 2]], 'hecke_orbit_code': 58547001364582336, 'p': 37}
  • id: 3479887
    {'charpoly_factorization': [[[15871167781085003776, 0, 85304531645034496, 0, 161086903708416, 0, 141520320704, 0, 61868484, 0, 12820, 0, 1], 1]], 'hecke_orbit_code': 58547001364582336, 'p': 41}
  • id: 3479888
    {'charpoly_factorization': [[[-81133568, -29081600, 2569216, 38400, -3968, -32, 1], 2]], 'hecke_orbit_code': 58547001364582336, 'p': 43}
  • id: 3479889
    {'charpoly_factorization': [[[545625166739144704, 0, 9918201187008512, 0, 50720135843840, 0, 101147064320, 0, 78055808, 0, 16352, 0, 1], 1]], 'hecke_orbit_code': 58547001364582336, 'p': 47}
  • id: 3479890
    {'charpoly_factorization': [[[12084537822795809856, 0, 90481870554102464, 0, 192112128879344, 0, 176097058208, 0, 76879228, 0, 15148, 0, 1], 1]], 'hecke_orbit_code': 58547001364582336, 'p': 53}
  • id: 3479891
    {'charpoly_factorization': [[[1297200422228626243584, 0, 3279750448025698304, 0, 3020065316343808, 0, 1296263845888, 0, 275041664, 0, 27488, 0, 1], 1]], 'hecke_orbit_code': 58547001364582336, 'p': 59}
  • id: 3479892
    {'charpoly_factorization': [[[-11681644992, 187082560, 17429488, -208288, -7780, 52, 1], 2]], 'hecke_orbit_code': 58547001364582336, 'p': 61}
  • id: 3479893
    {'charpoly_factorization': [[[10217426944, -1140168704, 24904208, 380800, -11320, -32, 1], 2]], 'hecke_orbit_code': 58547001364582336, 'p': 67}
  • id: 3479894
    {'charpoly_factorization': [[[2300088744349079240704, 0, 5913880911752740864, 0, 5288884686003216, 0, 2051217770720, 0, 377734680, 0, 32056, 0, 1], 1]], 'hecke_orbit_code': 58547001364582336, 'p': 71}
  • id: 3479895
    {'charpoly_factorization': [[[9192474624, -1292217088, 46171408, 119872, -17800, 32, 1], 2]], 'hecke_orbit_code': 58547001364582336, 'p': 73}
  • id: 3479896
    {'charpoly_factorization': [[[-5097442304, 848380160, 129987472, 606720, -27032, -16, 1], 2]], 'hecke_orbit_code': 58547001364582336, 'p': 79}
  • id: 3479897
    {'charpoly_factorization': [[[15273822638598782976, 0, 3360111533903314944, 0, 5412724667318272, 0, 2750401806336, 0, 498854912, 0, 37440, 0, 1], 1]], 'hecke_orbit_code': 58547001364582336, 'p': 83}
  • id: 3479898
    {'charpoly_factorization': [[[130698006090891264, 0, 75687824161419264, 0, 913358016430848, 0, 884310229440, 0, 282507588, 0, 30356, 0, 1], 1]], 'hecke_orbit_code': 58547001364582336, 'p': 89}
  • id: 3479899
    {'charpoly_factorization': [[[-14709774336, -144115456, 123327632, -641280, -26216, 48, 1], 2]], 'hecke_orbit_code': 58547001364582336, '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': 4, 'hecke_orbit': 14, 'label': '4032.3.d.n', 'level': 4032, 'portrait': 'data:image/png;base64,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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 59254321
    {'hecke_orbit_code': 58547001364582336, 'n': 1, 'trace_an': 12}
  • id: 59254322
    {'hecke_orbit_code': 58547001364582336, 'n': 2, 'trace_an': 0}
  • id: 59254323
    {'hecke_orbit_code': 58547001364582336, 'n': 3, 'trace_an': 0}
  • id: 59254324
    {'hecke_orbit_code': 58547001364582336, 'n': 4, 'trace_an': 0}
  • id: 59254325
    {'hecke_orbit_code': 58547001364582336, 'n': 5, 'trace_an': 0}
  • id: 59254326
    {'hecke_orbit_code': 58547001364582336, 'n': 6, 'trace_an': 0}
  • id: 59254327
    {'hecke_orbit_code': 58547001364582336, 'n': 7, 'trace_an': 0}
  • id: 59254328
    {'hecke_orbit_code': 58547001364582336, 'n': 8, 'trace_an': 0}
  • id: 59254329
    {'hecke_orbit_code': 58547001364582336, 'n': 9, 'trace_an': 0}
  • id: 59254330
    {'hecke_orbit_code': 58547001364582336, 'n': 10, 'trace_an': 0}
  • id: 59254331
    {'hecke_orbit_code': 58547001364582336, 'n': 11, 'trace_an': 0}
  • id: 59254332
    {'hecke_orbit_code': 58547001364582336, 'n': 12, 'trace_an': 0}
  • id: 59254333
    {'hecke_orbit_code': 58547001364582336, 'n': 13, 'trace_an': -16}
  • id: 59254334
    {'hecke_orbit_code': 58547001364582336, 'n': 14, 'trace_an': 0}
  • id: 59254335
    {'hecke_orbit_code': 58547001364582336, 'n': 15, 'trace_an': 0}
  • id: 59254336
    {'hecke_orbit_code': 58547001364582336, 'n': 16, 'trace_an': 0}
  • id: 59254337
    {'hecke_orbit_code': 58547001364582336, 'n': 17, 'trace_an': 0}
  • id: 59254338
    {'hecke_orbit_code': 58547001364582336, 'n': 18, 'trace_an': 0}
  • id: 59254339
    {'hecke_orbit_code': 58547001364582336, 'n': 19, 'trace_an': -64}
  • id: 59254340
    {'hecke_orbit_code': 58547001364582336, 'n': 20, 'trace_an': 0}
  • id: 59254341
    {'hecke_orbit_code': 58547001364582336, 'n': 21, 'trace_an': 0}
  • id: 59254342
    {'hecke_orbit_code': 58547001364582336, 'n': 22, 'trace_an': 0}
  • id: 59254343
    {'hecke_orbit_code': 58547001364582336, 'n': 23, 'trace_an': 0}
  • id: 59254344
    {'hecke_orbit_code': 58547001364582336, 'n': 24, 'trace_an': 0}
  • id: 59254345
    {'hecke_orbit_code': 58547001364582336, 'n': 25, 'trace_an': -124}
  • id: 59254346
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  • id: 59254544
    {'hecke_orbit_code': 58547001364582336, 'n': 769, 'trace_an': -2056}
  • id: 59254545
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  • id: 59254546
    {'hecke_orbit_code': 58547001364582336, 'n': 787, 'trace_an': -832}
  • id: 59254547
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  • id: 59254548
    {'hecke_orbit_code': 58547001364582336, 'n': 809, 'trace_an': 0}
  • id: 59254549
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  • id: 59254550
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  • id: 59254551
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  • id: 59254552
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  • id: 59254553
    {'hecke_orbit_code': 58547001364582336, 'n': 829, 'trace_an': 2256}
  • id: 59254554
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  • id: 59254555
    {'hecke_orbit_code': 58547001364582336, 'n': 841, 'trace_an': -940}
  • id: 59254556
    {'hecke_orbit_code': 58547001364582336, 'n': 853, 'trace_an': -4280}
  • id: 59254557
    {'hecke_orbit_code': 58547001364582336, 'n': 857, 'trace_an': 0}
  • id: 59254558
    {'hecke_orbit_code': 58547001364582336, 'n': 859, 'trace_an': 8640}
  • id: 59254559
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  • id: 59254560
    {'hecke_orbit_code': 58547001364582336, 'n': 877, 'trace_an': -184}
  • id: 59254561
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  • id: 59254562
    {'hecke_orbit_code': 58547001364582336, 'n': 883, 'trace_an': 4480}
  • id: 59254563
    {'hecke_orbit_code': 58547001364582336, 'n': 887, 'trace_an': 0}
  • id: 59254564
    {'hecke_orbit_code': 58547001364582336, 'n': 907, 'trace_an': -4096}
  • id: 59254565
    {'hecke_orbit_code': 58547001364582336, 'n': 911, 'trace_an': 0}
  • id: 59254566
    {'hecke_orbit_code': 58547001364582336, 'n': 919, 'trace_an': 8192}
  • id: 59254567
    {'hecke_orbit_code': 58547001364582336, 'n': 929, 'trace_an': 0}
  • id: 59254568
    {'hecke_orbit_code': 58547001364582336, 'n': 937, 'trace_an': -4280}
  • id: 59254569
    {'hecke_orbit_code': 58547001364582336, 'n': 941, 'trace_an': 0}
  • id: 59254570
    {'hecke_orbit_code': 58547001364582336, 'n': 947, 'trace_an': 0}
  • id: 59254571
    {'hecke_orbit_code': 58547001364582336, 'n': 953, 'trace_an': 0}
  • id: 59254572
    {'hecke_orbit_code': 58547001364582336, 'n': 961, 'trace_an': 4916}
  • id: 59254573
    {'hecke_orbit_code': 58547001364582336, 'n': 967, 'trace_an': -7456}
  • id: 59254574
    {'hecke_orbit_code': 58547001364582336, 'n': 971, 'trace_an': 0}
  • id: 59254575
    {'hecke_orbit_code': 58547001364582336, 'n': 977, 'trace_an': 0}
  • id: 59254576
    {'hecke_orbit_code': 58547001364582336, 'n': 983, 'trace_an': 0}
  • id: 59254577
    {'hecke_orbit_code': 58547001364582336, 'n': 991, 'trace_an': 8256}
  • id: 59254578
    {'hecke_orbit_code': 58547001364582336, 'n': 997, 'trace_an': 7256}