Embedded newform data - 2304.4.a.bg.1.2

Formats: - HTML - YAML - JSON - 2024-04-24T11:59:13.318178

• 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': 36864, 'analytic_conductor': 135.94040065322636, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1]], 'atkin_lehner_string': '--', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2304, 1, [1279, 2053, 1793], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 2, 'field_disc': 12, 'field_disc_factorization': [[2, 2], [3, 1]], 'field_poly': [-3, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 12, 'fricke_eigenval': 1, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [-108, 0, 1]], [7, [-12, 0, 1]], [11, [0, 1]], [13, [-3072, 0, 1]], [17, [-90, 1]], [19, [-116, 1]]], 'hecke_orbit': 33, 'hecke_orbit_code': 144115188142967040, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 4, -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': '2304.4.a.bg', 'level': 2304, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '192.4.d.a', 'nf_label': '2.2.12.1', 'prim_orbit_index': 1, 'qexp_display': 'q+3\\beta q^{5}-\\beta q^{7}+2^{4}\\beta q^{13}+90q^{17}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2304.4.a', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1620083812629571685, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.909', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.017', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.874', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1.591', 'prec': 17}, {'__RealLiteral__': 0, 'data': '144.636', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.509', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 180, 0, 232, 0, 0, 0, 0, 0, -34, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -108, 0, 40, 0, 0, 0, 0, 0, -662, 0, 0, 0, 0, 0, 0, 0, 0, 0, -648, 0, 0, 0, 0, 0, 1152, 0, -232, 0, 0, 0, 0, 0, -2212, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2304, 0, 0, 0, 0, 0, 1836, 0, -384, 0, 0, 0, 0, 0, 380, 0, 0, 0, 0, 0, 0, 0, 0, 0, 504, 0, 0, 0, 0, 0, 4428, 0, 2160, 0, 0, 0, 0, 0, -2662, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4536, 0, 0, 0, 0, 0, 1044, 0, 1352, 0, 0, 0, 0, 0, -5400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6264, 0, 0, 0, 0, 0, -720, 0, -776, 0, 0, 0, 0, 0, 1750, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5688, 0, 0, 0, 0, 0, -720, 0, 0, 0, 0, 0, 0, 0, -2684, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1800, 0, 0, 0, 0, 0, 0, 0, 5528, 0, 0, 0, 0, 0, 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• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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• 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': [[[[2, -1], [3, -1]], 36, 18], [[[2, 1], [3, -1]], 34, 18], [[[2, -1], [3, 1]], 22, 10], [[[2, 1], [3, 1]], 26, 10]], 'ALdims': [26, 34, 22, 36], 'Nk2': 36864, 'analytic_conductor': 135.94040065322636, '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': [2304, 1, [1279, 2053, 1793], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1104, 'dim': 118, 'eis_dim': 96, 'eis_new_dim': 4, 'hecke_cutter_primes': [5, 7, 11, 13, 17, 19], 'hecke_orbit_code': 67111168, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 8], 'label': '2304.4.a', 'level': 2304, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 1200, 'mf_new_dim': 122, 'num_forms': 56, 'plus_dim': 62, 'prim_orbit_index': 1, 'relative_dim': 118, 'sturm_bound': 1536, 'trace_bound': 19, 'trace_display': [0, 0, 0, 0], 'traces': [118, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 2754, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 3750, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1472, 0, 0, 0, 0, 0, 0, 0, 276, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 172, 0, 0, 0, 0, 0, 0, 0, 3164, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2156, 0, 0, 0, 0, 0, 0, 0, 9142, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2044, 0, 0, 0, 0, 0, 0, 0, 3360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2496, 0, 0, 0, 0, 0, 0, 0, 25970, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9024, 0, 0, 0, 0, 0, 0, 0, 4188, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9000, 0, 0, 0, 0, 0, 0, 0, 16064, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15116, 0, 0, 0, 0, 0, 0, 0, 15164, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10484, 0, 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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: 48798506
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142967040, 'source_is_minimal': False, 'source_label': '2304.4.a.bg.1.2', 'source_level': 2304, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 144115188142967040, 'target_is_minimal': False, 'target_label': '2304.4.a.bg.1.2', 'target_level': 2304, 'twist_class_label': '192.4.d.a.97.1', 'twist_class_level': 192, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48798507
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142967040, 'source_is_minimal': False, 'source_label': '2304.4.a.bg.1.2', 'source_level': 2304, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597831332608, 'target_is_minimal': False, 'target_label': '768.4.a.g.1.1', 'target_level': 768, 'twist_class_label': '192.4.d.a.97.1', 'twist_class_level': 192, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48798508
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142967040, 'source_is_minimal': False, 'source_label': '2304.4.a.bg.1.2', 'source_level': 2304, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 135107988888226048, 'target_is_minimal': False, 'target_label': '2304.4.a.be.1.2', 'target_level': 2304, 'twist_class_label': '192.4.d.a.97.1', 'twist_class_level': 192, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48798509
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142967040, 'source_is_minimal': False, 'source_label': '2304.4.a.bg.1.2', 'source_level': 2304, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 144115188142967040, 'target_is_minimal': False, 'target_label': '2304.4.a.bg.1.1', 'target_level': 2304, 'twist_class_label': '192.4.d.a.97.1', 'twist_class_level': 192, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48798510
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142967040, 'source_is_minimal': False, 'source_label': '2304.4.a.bg.1.2', 'source_level': 2304, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 135107988888226048, 'target_is_minimal': False, 'target_label': '2304.4.a.be.1.1', 'target_level': 2304, 'twist_class_label': '192.4.d.a.97.1', 'twist_class_level': 192, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48798511
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142967040, 'source_is_minimal': False, 'source_label': '2304.4.a.bg.1.2', 'source_level': 2304, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58546795222926080, 'target_is_minimal': False, 'target_label': '768.4.a.n.1.1', 'target_level': 768, 'twist_class_label': '192.4.d.a.97.1', 'twist_class_level': 192, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48798512
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142967040, 'source_is_minimal': False, 'source_label': '2304.4.a.bg.1.2', 'source_level': 2304, 'target_conrey_index': 289, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021803989762624, 'target_is_minimal': False, 'target_label': '576.4.d.g.289.1', 'target_level': 576, 'twist_class_label': '192.4.d.a.97.1', 'twist_class_level': 192, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48798513
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142967040, 'source_is_minimal': False, 'source_label': '2304.4.a.bg.1.2', 'source_level': 2304, 'target_conrey_index': 289, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 27021803989762624, 'target_is_minimal': False, 'target_label': '576.4.d.g.289.4', 'target_level': 576, 'twist_class_label': '192.4.d.a.97.1', 'twist_class_level': 192, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48798514
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142967040, 'source_is_minimal': False, 'source_label': '2304.4.a.bg.1.2', 'source_level': 2304, 'target_conrey_index': 289, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27021803989762624, 'target_is_minimal': False, 'target_label': '576.4.d.g.289.3', 'target_level': 576, 'twist_class_label': '192.4.d.a.97.1', 'twist_class_level': 192, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48798515
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142967040, 'source_is_minimal': False, 'source_label': '2304.4.a.bg.1.2', 'source_level': 2304, 'target_conrey_index': 289, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021803989762624, 'target_is_minimal': False, 'target_label': '576.4.d.g.289.2', 'target_level': 576, 'twist_class_label': '192.4.d.a.97.1', 'twist_class_level': 192, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 4}
  • id: 48798516
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142967040, 'source_is_minimal': False, 'source_label': '2304.4.a.bg.1.2', 'source_level': 2304, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 58546795222926080, 'target_is_minimal': False, 'target_label': '768.4.a.n.1.2', 'target_level': 768, 'twist_class_label': '192.4.d.a.97.1', 'twist_class_level': 192, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48798517
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142967040, 'source_is_minimal': False, 'source_label': '2304.4.a.bg.1.2', 'source_level': 2304, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021597831332608, 'target_is_minimal': False, 'target_label': '768.4.a.g.1.2', 'target_level': 768, 'twist_class_label': '192.4.d.a.97.1', 'twist_class_level': 192, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48798518
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142967040, 'source_is_minimal': False, 'source_label': '2304.4.a.bg.1.2', 'source_level': 2304, 'target_conrey_index': 97, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 206225539264, 'target_is_minimal': True, 'target_label': '192.4.d.a.97.3', 'target_level': 192, 'twist_class_label': '192.4.d.a.97.1', 'twist_class_level': 192, 'twisting_char_label': '48.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48798519
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142967040, 'source_is_minimal': False, 'source_label': '2304.4.a.bg.1.2', 'source_level': 2304, 'target_conrey_index': 97, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 206225539264, 'target_is_minimal': True, 'target_label': '192.4.d.a.97.1', 'target_level': 192, 'twist_class_label': '192.4.d.a.97.1', 'twist_class_level': 192, 'twisting_char_label': '48.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48798520
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142967040, 'source_is_minimal': False, 'source_label': '2304.4.a.bg.1.2', 'source_level': 2304, 'target_conrey_index': 97, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 206225539264, 'target_is_minimal': True, 'target_label': '192.4.d.a.97.2', 'target_level': 192, 'twist_class_label': '192.4.d.a.97.1', 'twist_class_level': 192, 'twisting_char_label': '48.29', 'twisting_conrey_index': 29, 'weight': 4}
  • id: 48798521
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142967040, 'source_is_minimal': False, 'source_label': '2304.4.a.bg.1.2', 'source_level': 2304, 'target_conrey_index': 97, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 206225539264, 'target_is_minimal': True, 'target_label': '192.4.d.a.97.4', 'target_level': 192, 'twist_class_label': '192.4.d.a.97.1', 'twist_class_level': 192, 'twisting_char_label': '48.35', 'twisting_conrey_index': 35, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2558875
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 144115188142967040, 'p': 2}
  • id: 2558876
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 144115188142967040, 'p': 3}
  • id: 2558877
    {'charpoly_factorization': [[[-108, 0, 1], 1]], 'hecke_orbit_code': 144115188142967040, 'p': 5}
  • id: 2558878
    {'charpoly_factorization': [[[-12, 0, 1], 1]], 'hecke_orbit_code': 144115188142967040, 'p': 7}
  • id: 2558879
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 144115188142967040, 'p': 11}
  • id: 2558880
    {'charpoly_factorization': [[[-3072, 0, 1], 1]], 'hecke_orbit_code': 144115188142967040, 'p': 13}
  • id: 2558881
    {'charpoly_factorization': [[[-90, 1], 2]], 'hecke_orbit_code': 144115188142967040, 'p': 17}
  • id: 2558882
    {'charpoly_factorization': [[[-116, 1], 2]], 'hecke_orbit_code': 144115188142967040, 'p': 19}
  • id: 2558883
    {'charpoly_factorization': [[[-10800, 0, 1], 1]], 'hecke_orbit_code': 144115188142967040, 'p': 23}
  • id: 2558884
    {'charpoly_factorization': [[[-67500, 0, 1], 1]], 'hecke_orbit_code': 144115188142967040, 'p': 29}
  • id: 2558885
    {'charpoly_factorization': [[[-90828, 0, 1], 1]], 'hecke_orbit_code': 144115188142967040, 'p': 31}
  • id: 2558886
    {'charpoly_factorization': [[[-1200, 0, 1], 1]], 'hecke_orbit_code': 144115188142967040, 'p': 37}
  • id: 2558887
    {'charpoly_factorization': [[[54, 1], 2]], 'hecke_orbit_code': 144115188142967040, 'p': 41}
  • id: 2558888
    {'charpoly_factorization': [[[-20, 1], 2]], 'hecke_orbit_code': 144115188142967040, 'p': 43}
  • id: 2558889
    {'charpoly_factorization': [[[-155952, 0, 1], 1]], 'hecke_orbit_code': 144115188142967040, 'p': 47}
  • id: 2558890
    {'charpoly_factorization': [[[-238572, 0, 1], 1]], 'hecke_orbit_code': 144115188142967040, 'p': 53}
  • id: 2558891
    {'charpoly_factorization': [[[324, 1], 2]], 'hecke_orbit_code': 144115188142967040, 'p': 59}
  • id: 2558892
    {'charpoly_factorization': [[[-330672, 0, 1], 1]], 'hecke_orbit_code': 144115188142967040, 'p': 61}
  • id: 2558893
    {'charpoly_factorization': [[[116, 1], 2]], 'hecke_orbit_code': 144115188142967040, 'p': 67}
  • id: 2558894
    {'charpoly_factorization': [[[-1213488, 0, 1], 1]], 'hecke_orbit_code': 144115188142967040, 'p': 71}
  • id: 2558895
    {'charpoly_factorization': [[[1106, 1], 2]], 'hecke_orbit_code': 144115188142967040, 'p': 73}
  • id: 2558896
    {'charpoly_factorization': [[[-22188, 0, 1], 1]], 'hecke_orbit_code': 144115188142967040, 'p': 79}
  • id: 2558897
    {'charpoly_factorization': [[[-1152, 1], 2]], 'hecke_orbit_code': 144115188142967040, 'p': 83}
  • id: 2558898
    {'charpoly_factorization': [[[-918, 1], 2]], 'hecke_orbit_code': 144115188142967040, 'p': 89}
  • id: 2558899
    {'charpoly_factorization': [[[-190, 1], 2]], 'hecke_orbit_code': 144115188142967040, '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': 33, 'label': '2304.4.a.bg', 'level': 2304, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 268355000
    {'hecke_orbit_code': 144115188142967040, 'n': 1, 'trace_an': 2}
  • id: 268355001
    {'hecke_orbit_code': 144115188142967040, 'n': 2, 'trace_an': 0}
  • id: 268355002
    {'hecke_orbit_code': 144115188142967040, 'n': 3, 'trace_an': 0}
  • id: 268355003
    {'hecke_orbit_code': 144115188142967040, 'n': 4, 'trace_an': 0}
  • id: 268355004
    {'hecke_orbit_code': 144115188142967040, 'n': 5, 'trace_an': 0}
  • id: 268355005
    {'hecke_orbit_code': 144115188142967040, 'n': 6, 'trace_an': 0}
  • id: 268355006
    {'hecke_orbit_code': 144115188142967040, 'n': 7, 'trace_an': 0}
  • id: 268355007
    {'hecke_orbit_code': 144115188142967040, 'n': 8, 'trace_an': 0}
  • id: 268355008
    {'hecke_orbit_code': 144115188142967040, 'n': 9, 'trace_an': 0}
  • id: 268355009
    {'hecke_orbit_code': 144115188142967040, 'n': 10, 'trace_an': 0}
  • id: 268355010
    {'hecke_orbit_code': 144115188142967040, 'n': 11, 'trace_an': 0}
  • id: 268355011
    {'hecke_orbit_code': 144115188142967040, 'n': 12, 'trace_an': 0}
  • id: 268355012
    {'hecke_orbit_code': 144115188142967040, 'n': 13, 'trace_an': 0}
  • id: 268355013
    {'hecke_orbit_code': 144115188142967040, 'n': 14, 'trace_an': 0}
  • id: 268355014
    {'hecke_orbit_code': 144115188142967040, 'n': 15, 'trace_an': 0}
  • id: 268355015
    {'hecke_orbit_code': 144115188142967040, 'n': 16, 'trace_an': 0}
  • id: 268355016
    {'hecke_orbit_code': 144115188142967040, 'n': 17, 'trace_an': 180}
  • id: 268355017
    {'hecke_orbit_code': 144115188142967040, 'n': 18, 'trace_an': 0}
  • id: 268355018
    {'hecke_orbit_code': 144115188142967040, 'n': 19, 'trace_an': 232}
  • id: 268355019
    {'hecke_orbit_code': 144115188142967040, 'n': 20, 'trace_an': 0}
  • id: 268355020
    {'hecke_orbit_code': 144115188142967040, 'n': 21, 'trace_an': 0}
  • id: 268355021
    {'hecke_orbit_code': 144115188142967040, 'n': 22, 'trace_an': 0}
  • id: 268355022
    {'hecke_orbit_code': 144115188142967040, 'n': 23, 'trace_an': 0}
  • id: 268355023
    {'hecke_orbit_code': 144115188142967040, 'n': 24, 'trace_an': 0}
  • id: 268355024
    {'hecke_orbit_code': 144115188142967040, 'n': 25, 'trace_an': -34}
  • id: 268355025
    {'hecke_orbit_code': 144115188142967040, 'n': 26, 'trace_an': 0}
  • id: 268355026
    {'hecke_orbit_code': 144115188142967040, 'n': 27, 'trace_an': 0}
  • id: 268355027
    {'hecke_orbit_code': 144115188142967040, 'n': 28, 'trace_an': 0}
  • id: 268355028
    {'hecke_orbit_code': 144115188142967040, 'n': 29, 'trace_an': 0}
  • id: 268355029
    {'hecke_orbit_code': 144115188142967040, 'n': 30, 'trace_an': 0}
  • id: 268355030
    {'hecke_orbit_code': 144115188142967040, 'n': 31, 'trace_an': 0}
  • id: 268355031
    {'hecke_orbit_code': 144115188142967040, 'n': 32, 'trace_an': 0}
  • id: 268355032
    {'hecke_orbit_code': 144115188142967040, 'n': 33, 'trace_an': 0}
  • id: 268355033
    {'hecke_orbit_code': 144115188142967040, 'n': 34, 'trace_an': 0}
  • id: 268355034
    {'hecke_orbit_code': 144115188142967040, 'n': 35, 'trace_an': -72}
  • id: 268355035
    {'hecke_orbit_code': 144115188142967040, 'n': 36, 'trace_an': 0}
  • id: 268355036
    {'hecke_orbit_code': 144115188142967040, 'n': 37, 'trace_an': 0}
  • id: 268355037
    {'hecke_orbit_code': 144115188142967040, 'n': 38, 'trace_an': 0}
  • id: 268355038
    {'hecke_orbit_code': 144115188142967040, 'n': 39, 'trace_an': 0}
  • id: 268355039
    {'hecke_orbit_code': 144115188142967040, 'n': 40, 'trace_an': 0}
  • id: 268355040
    {'hecke_orbit_code': 144115188142967040, 'n': 41, 'trace_an': -108}
  • id: 268355041
    {'hecke_orbit_code': 144115188142967040, 'n': 42, 'trace_an': 0}
  • id: 268355042
    {'hecke_orbit_code': 144115188142967040, 'n': 43, 'trace_an': 40}
  • id: 268355043
    {'hecke_orbit_code': 144115188142967040, 'n': 44, 'trace_an': 0}
  • id: 268355044
    {'hecke_orbit_code': 144115188142967040, 'n': 45, 'trace_an': 0}
  • id: 268355045
    {'hecke_orbit_code': 144115188142967040, 'n': 46, 'trace_an': 0}
  • id: 268355046
    {'hecke_orbit_code': 144115188142967040, 'n': 47, 'trace_an': 0}
  • id: 268355047
    {'hecke_orbit_code': 144115188142967040, 'n': 48, 'trace_an': 0}
  • id: 268355048
    {'hecke_orbit_code': 144115188142967040, 'n': 49, 'trace_an': -662}
  • id: 268355049
    {'hecke_orbit_code': 144115188142967040, 'n': 50, 'trace_an': 0}
  • id: 268355050
    {'hecke_orbit_code': 144115188142967040, 'n': 51, 'trace_an': 0}
  • id: 268355051
    {'hecke_orbit_code': 144115188142967040, 'n': 52, 'trace_an': 0}
  • id: 268355052
    {'hecke_orbit_code': 144115188142967040, 'n': 53, 'trace_an': 0}
  • id: 268355053
    {'hecke_orbit_code': 144115188142967040, 'n': 54, 'trace_an': 0}
  • id: 268355054
    {'hecke_orbit_code': 144115188142967040, 'n': 55, 'trace_an': 0}
  • id: 268355055
    {'hecke_orbit_code': 144115188142967040, 'n': 56, 'trace_an': 0}
  • id: 268355056
    {'hecke_orbit_code': 144115188142967040, 'n': 57, 'trace_an': 0}
  • id: 268355057
    {'hecke_orbit_code': 144115188142967040, 'n': 58, 'trace_an': 0}
  • id: 268355058
    {'hecke_orbit_code': 144115188142967040, 'n': 59, 'trace_an': -648}
  • id: 268355059
    {'hecke_orbit_code': 144115188142967040, 'n': 60, 'trace_an': 0}
  • id: 268355060
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