Embedded newform data - 864.4.a.q.1.3

Formats: - HTML - YAML - JSON - 2025-09-12T04:37:58.992240

• 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': 13824, 'analytic_conductor': 50.97765024495989, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -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': [864, 1, [703, 325, 353], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 148, 'field_disc_factorization': [[2, 2], [37, 1]], 'field_poly': [1, -3, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [536, -180, -6, 1]], [7, [1755, -549, 9, 1]], [11, [7992, -1332, 18, 1]]], 'hecke_orbit': 17, 'hecke_orbit_code': 72057594105037664, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 72, 'hecke_ring_index_factorization': [[2, 3], [3, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '864.4.a.q', 'level': 864, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '864.4.a.k', 'nf_label': '3.3.148.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(2-\\beta _{2})q^{5}+(-3-\\beta _{1}+\\beta _{2})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '864.4.a', 'trace_display': [0, 0, 6, -9], 'trace_hash': 1051281232622380957, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.871', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '21.726', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '241.298', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [3, 0, 0, 0, 6, 0, -9, 0, 0, 0, -18, 0, 3, 0, 0, 0, 18, 0, -27, 0, 0, 0, -90, 0, 21, 0, 0, 0, 72, 0, -144, 0, 0, 0, -450, 0, -159, 0, 0, 0, -168, 0, 180, 0, 0, 0, -522, 0, 150, 0, 0, 0, -84, 0, -324, 0, 0, 0, -1458, 0, 33, 0, 0, 0, 246, 0, 837, 0, 0, 0, -1908, 0, -165, 0, 0, 0, -954, 0, -531, 0, 0, 0, -2268, 0, 708, 0, 0, 0, 618, 0, 1719, 0, 0, 0, -2934, 0, -117, 0, 0, 0, 2064, 0, -2205, 0, 0, 0, -3726, 0, -1014, 0, 0, 0, -2142, 0, 1548, 0, 0, 0, -4806, 0, -1005, 0, 0, 0, 348, 0, -2700, 0, 0, 0, -3744, 0, 657, 0, 0, 0, 2478, 0, 3915, 0, 0, 0, -4194, 0, 1680, 0, 0, 0, -4788, 0, -5175, 0, 0, 0, -4896, 0, 1182, 0, 0, 0, 990, 0, 3339, 0, 0, 0, -5202, 0, -444, 0, 0, 0, 5688, 0, -5247, 0, 0, 0, -1980, 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• mf_hecke_cc •

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

  
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-0.28873813757573713, -0.36278746773351966, -0.36771357699022966, -0.1836406943832312, -0.33729347154612005, -0.2115981875602452, -0.16968289428211397, -0.12625507932661786, -0.1264638819785368, -0.34383800896911876, -0.14018566546265035, -0.17776059888572035, -0.21409781359129854, -0.09615249995498543, -0.43122282320232064, -0.21999488973890657, -0.1271191718924121, -0.46725859156432953, -0.23278260762644007, -0.21921372345037726, -0.12874541415841623, -0.31886218693452856, -0.18854723295524997, -0.14401684070155335, -0.19307601669742636, -0.35116820184719727, -0.22151491082448044, -0.13485308671556254, -0.25833766876148123, -0.17840156348209343, -0.3456922484064347, -0.45937599929404305, -0.205269502970965, -0.22876544351844788, -0.29258206491056404, -0.3149758872311961, -0.266978857180657, -0.28319891974266165, -0.2903737418796783, -0.2953270389256065, -0.2154686779075259, -0.3118393337210706, -0.3873385276809554, -0.1602331383265791, -0.1596275936191993, -0.32850828152577044, -0.16578371156323113, -0.12128570116992869, -0.3244556582361979, -0.25759231923726333, -0.219616230014502, -0.21680024053218597, -0.27192632712718456, -0.33491796746971314, -0.2640125863351911, -0.36314103455444346, -0.25433677477575434, -0.23545726945871417, -0.16089275842120299, -0.2844093851314389, -0.19976927896613303, -0.3181947852141352, -0.27821329773820014, -0.2995712481008185, -0.2188876494773763, -0.39430073095249896, -0.11611241109965817, -0.3050329985831998, -0.31198513302626446, -0.3029288230249413, -0.20108034957121027, -0.37892840806545863, -0.16498838482224304, -0.33235618726616967, -0.23414176748150056, -0.41441698071021155, -0.20684361624958095, -0.2885684656777185, -0.11657573466132766, -0.21158531159936864, -0.25558611696180505, -0.16384453703147, -0.2146338974058919, -0.3492704504108207, -0.20665461451091183, -0.1810203155359855], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.3111078174659819, 'hecke_orbit': 17, 'hecke_orbit_code': 72057594105037664, 'label': '864.4.a.q.1.3', 'level': 864, 'weight': 4}
• 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

  
  {'ALdims': [13, 11, 11, 13], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [12, 12, 12, 12], 'ALdims_old': [93, 89, 87, 91], 'Nk2': 13824, 'analytic_conductor': 50.97765024495989, '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': [864, 1, [703, 325, 353], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 408, 'dim': 48, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11], 'hecke_orbit_code': 67109728, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3], 'label': '864.4.a', 'level': 864, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 456, 'mf_new_dim': 48, 'num_forms': 20, 'plus_dim': 26, 'prim_orbit_index': 1, 'relative_dim': 48, 'sturm_bound': 576, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1584, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4848, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6864, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5976, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8880, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10752, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -15504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -31536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1656, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -35736, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10824, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -17568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -31872, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8712, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -50904, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11088, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 55320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -101592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -51168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -50328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -46704, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16872, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -21480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 121176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -15264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 65640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 125616, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -117936, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 93240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -150720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 311376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29856, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 205992, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 134088, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 131832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -90504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -155472, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -204024, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -110112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 215640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 45744, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 179496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 197160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -38040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 354168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -308496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 101400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -180120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -62736, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -222504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26712, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 302016, 0, 0, 0], 'weight': 4, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 48043761
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 72057594105037664, 'source_is_minimal': True, 'source_label': '864.4.a.q.1.3', 'source_level': 864, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 72057594105037664, 'target_is_minimal': True, 'target_label': '864.4.a.q.1.3', 'target_level': 864, 'twist_class_label': '864.4.a.k.1.1', 'twist_class_level': 864, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48043762
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 72057594105037664, 'source_is_minimal': True, 'source_label': '864.4.a.q.1.3', 'source_level': 864, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996340814688, 'target_is_minimal': True, 'target_label': '864.4.a.k.1.1', 'target_level': 864, 'twist_class_label': '864.4.a.k.1.1', 'twist_class_level': 864, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48043763
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 72057594105037664, 'source_is_minimal': True, 'source_label': '864.4.a.q.1.3', 'source_level': 864, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 76561193732408160, 'target_is_minimal': True, 'target_label': '864.4.a.r.1.3', 'target_level': 864, 'twist_class_label': '864.4.a.k.1.1', 'twist_class_level': 864, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48043764
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 72057594105037664, 'source_is_minimal': True, 'source_label': '864.4.a.q.1.3', 'source_level': 864, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 220676381808264896, 'target_is_minimal': False, 'target_label': '1728.4.a.bx.1.1', 'target_level': 1728, 'twist_class_label': '864.4.a.k.1.1', 'twist_class_level': 864, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48043765
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 72057594105037664, 'source_is_minimal': True, 'source_label': '864.4.a.q.1.3', 'source_level': 864, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 216172782180894400, 'target_is_minimal': False, 'target_label': '1728.4.a.bw.1.1', 'target_level': 1728, 'twist_class_label': '864.4.a.k.1.1', 'twist_class_level': 864, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48043766
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 72057594105037664, 'source_is_minimal': True, 'source_label': '864.4.a.q.1.3', 'source_level': 864, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595968185184, 'target_is_minimal': True, 'target_label': '864.4.a.l.1.1', 'target_level': 864, 'twist_class_label': '864.4.a.k.1.1', 'twist_class_level': 864, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48043767
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 72057594105037664, 'source_is_minimal': True, 'source_label': '864.4.a.q.1.3', 'source_level': 864, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 243194379945117376, 'target_is_minimal': False, 'target_label': '1728.4.a.cc.1.3', 'target_level': 1728, 'twist_class_label': '864.4.a.k.1.1', 'twist_class_level': 864, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48043768
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 72057594105037664, 'source_is_minimal': True, 'source_label': '864.4.a.q.1.3', 'source_level': 864, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 247697979572487872, 'target_is_minimal': False, 'target_label': '1728.4.a.cd.1.3', 'target_level': 1728, 'twist_class_label': '864.4.a.k.1.1', 'twist_class_level': 864, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1424675
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 72057594105037664, 'p': 2}
  • id: 1424676
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 72057594105037664, 'p': 3}
  • id: 1424677
    {'charpoly_factorization': [[[536, -180, -6, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 5}
  • id: 1424678
    {'charpoly_factorization': [[[1755, -549, 9, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 7}
  • id: 1424679
    {'charpoly_factorization': [[[7992, -1332, 18, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 11}
  • id: 1424680
    {'charpoly_factorization': [[[-59265, -3069, -3, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 13}
  • id: 1424681
    {'charpoly_factorization': [[[449224, -12468, -18, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 17}
  • id: 1424682
    {'charpoly_factorization': [[[-863271, -15885, 27, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 19}
  • id: 1424683
    {'charpoly_factorization': [[[-119016, -6516, 90, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 23}
  • id: 1424684
    {'charpoly_factorization': [[[70144, -1344, -72, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 29}
  • id: 1424685
    {'charpoly_factorization': [[[-1492992, -20736, 144, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 31}
  • id: 1424686
    {'charpoly_factorization': [[[-10625203, -76245, 159, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 37}
  • id: 1424687
    {'charpoly_factorization': [[[-6238720, -38976, 168, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 41}
  • id: 1424688
    {'charpoly_factorization': [[[-1086912, -57168, -180, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 43}
  • id: 1424689
    {'charpoly_factorization': [[[-117365544, -232884, 522, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 47}
  • id: 1424690
    {'charpoly_factorization': [[[12028096, -118608, 84, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 53}
  • id: 1424691
    {'charpoly_factorization': [[[-97306056, 404748, 1458, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 59}
  • id: 1424692
    {'charpoly_factorization': [[[-42707123, -248469, -33, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 61}
  • id: 1424693
    {'charpoly_factorization': [[[-3857031, -190413, -837, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 67}
  • id: 1424694
    {'charpoly_factorization': [[[154692288, 1076400, 1908, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 71}
  • id: 1424695
    {'charpoly_factorization': [[[184786407, -795789, 165, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 73}
  • id: 1424696
    {'charpoly_factorization': [[[-401433327, -731997, 531, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 79}
  • id: 1424697
    {'charpoly_factorization': [[[346227264, 1584432, 2268, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 83}
  • id: 1424698
    {'charpoly_factorization': [[[401389160, -643284, -618, 1], 1]], 'hecke_orbit_code': 72057594105037664, 'p': 89}
  • id: 1424699
    {'charpoly_factorization': [[[1877175, -43821, 117, 1], 1]], 'hecke_orbit_code': 72057594105037664, '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': 17, 'label': '864.4.a.q', 'level': 864, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 61902691
    {'hecke_orbit_code': 72057594105037664, 'n': 1, 'trace_an': 3}
  • id: 61902692
    {'hecke_orbit_code': 72057594105037664, 'n': 2, 'trace_an': 0}
  • id: 61902693
    {'hecke_orbit_code': 72057594105037664, 'n': 3, 'trace_an': 0}
  • id: 61902694
    {'hecke_orbit_code': 72057594105037664, 'n': 4, 'trace_an': 0}
  • id: 61902695
    {'hecke_orbit_code': 72057594105037664, 'n': 5, 'trace_an': 6}
  • id: 61902696
    {'hecke_orbit_code': 72057594105037664, 'n': 6, 'trace_an': 0}
  • id: 61902697
    {'hecke_orbit_code': 72057594105037664, 'n': 7, 'trace_an': -9}
  • id: 61902698
    {'hecke_orbit_code': 72057594105037664, 'n': 8, 'trace_an': 0}
  • id: 61902699
    {'hecke_orbit_code': 72057594105037664, 'n': 9, 'trace_an': 0}
  • id: 61902700
    {'hecke_orbit_code': 72057594105037664, 'n': 10, 'trace_an': 0}
  • id: 61902701
    {'hecke_orbit_code': 72057594105037664, 'n': 11, 'trace_an': -18}
  • id: 61902702
    {'hecke_orbit_code': 72057594105037664, 'n': 12, 'trace_an': 0}
  • id: 61902703
    {'hecke_orbit_code': 72057594105037664, 'n': 13, 'trace_an': 3}
  • id: 61902704
    {'hecke_orbit_code': 72057594105037664, 'n': 14, 'trace_an': 0}
  • id: 61902705
    {'hecke_orbit_code': 72057594105037664, 'n': 15, 'trace_an': 0}
  • id: 61902706
    {'hecke_orbit_code': 72057594105037664, 'n': 16, 'trace_an': 0}
  • id: 61902707
    {'hecke_orbit_code': 72057594105037664, 'n': 17, 'trace_an': 18}
  • id: 61902708
    {'hecke_orbit_code': 72057594105037664, 'n': 18, 'trace_an': 0}
  • id: 61902709
    {'hecke_orbit_code': 72057594105037664, 'n': 19, 'trace_an': -27}
  • id: 61902710
    {'hecke_orbit_code': 72057594105037664, 'n': 20, 'trace_an': 0}
  • id: 61902711
    {'hecke_orbit_code': 72057594105037664, 'n': 21, 'trace_an': 0}
  • id: 61902712
    {'hecke_orbit_code': 72057594105037664, 'n': 22, 'trace_an': 0}
  • id: 61902713
    {'hecke_orbit_code': 72057594105037664, 'n': 23, 'trace_an': -90}
  • id: 61902714
    {'hecke_orbit_code': 72057594105037664, 'n': 24, 'trace_an': 0}
  • id: 61902715
    {'hecke_orbit_code': 72057594105037664, 'n': 25, 'trace_an': 21}
  • id: 61902716
    {'hecke_orbit_code': 72057594105037664, 'n': 26, 'trace_an': 0}
  • id: 61902717
    {'hecke_orbit_code': 72057594105037664, 'n': 27, 'trace_an': 0}
  • id: 61902718
    {'hecke_orbit_code': 72057594105037664, 'n': 28, 'trace_an': 0}
  • id: 61902719
    {'hecke_orbit_code': 72057594105037664, 'n': 29, 'trace_an': 72}
  • id: 61902720
    {'hecke_orbit_code': 72057594105037664, 'n': 30, 'trace_an': 0}
  • id: 61902721
    {'hecke_orbit_code': 72057594105037664, 'n': 31, 'trace_an': -144}
  • id: 61902722
    {'hecke_orbit_code': 72057594105037664, 'n': 32, 'trace_an': 0}
  • id: 61902723
    {'hecke_orbit_code': 72057594105037664, 'n': 33, 'trace_an': 0}
  • id: 61902724
    {'hecke_orbit_code': 72057594105037664, 'n': 34, 'trace_an': 0}
  • id: 61902725
    {'hecke_orbit_code': 72057594105037664, 'n': 35, 'trace_an': -450}
  • id: 61902726
    {'hecke_orbit_code': 72057594105037664, 'n': 36, 'trace_an': 0}
  • id: 61902727
    {'hecke_orbit_code': 72057594105037664, 'n': 37, 'trace_an': -159}
  • id: 61902728
    {'hecke_orbit_code': 72057594105037664, 'n': 38, 'trace_an': 0}
  • id: 61902729
    {'hecke_orbit_code': 72057594105037664, 'n': 39, 'trace_an': 0}
  • id: 61902730
    {'hecke_orbit_code': 72057594105037664, 'n': 40, 'trace_an': 0}
  • id: 61902731
    {'hecke_orbit_code': 72057594105037664, 'n': 41, 'trace_an': -168}
  • id: 61902732
    {'hecke_orbit_code': 72057594105037664, 'n': 42, 'trace_an': 0}
  • id: 61902733
    {'hecke_orbit_code': 72057594105037664, 'n': 43, 'trace_an': 180}
  • id: 61902734
    {'hecke_orbit_code': 72057594105037664, 'n': 44, 'trace_an': 0}
  • id: 61902735
    {'hecke_orbit_code': 72057594105037664, 'n': 45, 'trace_an': 0}
  • id: 61902736
    {'hecke_orbit_code': 72057594105037664, 'n': 46, 'trace_an': 0}
  • id: 61902737
    {'hecke_orbit_code': 72057594105037664, 'n': 47, 'trace_an': -522}
  • id: 61902738
    {'hecke_orbit_code': 72057594105037664, 'n': 48, 'trace_an': 0}
  • id: 61902739
    {'hecke_orbit_code': 72057594105037664, 'n': 49, 'trace_an': 150}
  • id: 61902740
    {'hecke_orbit_code': 72057594105037664, 'n': 50, 'trace_an': 0}
  • id: 61902741
    {'hecke_orbit_code': 72057594105037664, 'n': 51, 'trace_an': 0}
  • id: 61902742
    {'hecke_orbit_code': 72057594105037664, 'n': 52, 'trace_an': 0}
  • id: 61902743
    {'hecke_orbit_code': 72057594105037664, 'n': 53, 'trace_an': -84}
  • id: 61902744
    {'hecke_orbit_code': 72057594105037664, 'n': 54, 'trace_an': 0}
  • id: 61902745
    {'hecke_orbit_code': 72057594105037664, 'n': 55, 'trace_an': -324}
  • id: 61902746
    {'hecke_orbit_code': 72057594105037664, 'n': 56, 'trace_an': 0}
  • id: 61902747
    {'hecke_orbit_code': 72057594105037664, 'n': 57, 'trace_an': 0}
  • id: 61902748
    {'hecke_orbit_code': 72057594105037664, 'n': 58, 'trace_an': 0}
  • id: 61902749
    {'hecke_orbit_code': 72057594105037664, 'n': 59, 'trace_an': -1458}
  • id: 61902750
    {'hecke_orbit_code': 72057594105037664, 'n': 60, 'trace_an': 0}
  • id: 61902751
    {'hecke_orbit_code': 72057594105037664, 'n': 61, 'trace_an': 33}
  • id: 61902752
    {'hecke_orbit_code': 72057594105037664, 'n': 62, 'trace_an': 0}
  • id: 61902753
    {'hecke_orbit_code': 72057594105037664, 'n': 63, 'trace_an': 0}
  • id: 61902754
    {'hecke_orbit_code': 72057594105037664, 'n': 64, 'trace_an': 0}
  • id: 61902755
    {'hecke_orbit_code': 72057594105037664, 'n': 65, 'trace_an': 246}
  • id: 61902756
    {'hecke_orbit_code': 72057594105037664, 'n': 66, 'trace_an': 0}
  • id: 61902757
    {'hecke_orbit_code': 72057594105037664, 'n': 67, 'trace_an': 837}
  • id: 61902758
    {'hecke_orbit_code': 72057594105037664, 'n': 68, 'trace_an': 0}
  • id: 61902759
    {'hecke_orbit_code': 72057594105037664, 'n': 69, 'trace_an': 0}
  • id: 61902760
    {'hecke_orbit_code': 72057594105037664, 'n': 70, 'trace_an': 0}
  • id: 61902761
    {'hecke_orbit_code': 72057594105037664, 'n': 71, 'trace_an': -1908}
  • id: 61902762
    {'hecke_orbit_code': 72057594105037664, 'n': 72, 'trace_an': 0}
  • id: 61902763
    {'hecke_orbit_code': 72057594105037664, 'n': 73, 'trace_an': -165}
  • id: 61902764
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