Newform data - 288.8.f.a

Formats: - HTML - YAML - JSON - 2024-05-03T02:44:55.335596

• 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': 18432, 'analytic_conductor': 89.96688733942706, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 24, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [288, 2, [127, 37, 65], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 143, 'conrey_indexes': [143], 'dim': 28, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 343731601696, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 8, 4, -1, 2, 0], [1, 1, 24, 6, 1, 2, 0]], 'is_cm': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '288.8.f.a', 'level': 288, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '72.8.f.a', 'prim_orbit_index': 6, 'related_objects': [], 'relative_dim': 28, 'rm_discs': [], 'sato_tate_group': '7.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '288.8.f', 'trace_display': [0, 0, 0, 0], 'traces': [28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 121168, 0, 0, 0, 0, 0, 437500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1505696, 0, 0, 0, 0, 0, -2272076, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 776272, 0, 0, 0, 0, 0, -2534128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3406992, 0, 0, 0, 0, 0, -26311456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60746256, 0, 0, 0, 0, 0, -18195084, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96412976, 0, 0, 0, 0, 0, -1230888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -47331008, 0, 0, 0, 0, 0, -277262276, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -175536592, 0, 0, 0, 0, 0, -246311032, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -65391248, 0, 0, 0, 0, 0, 522983376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 901440912, 0, 0, 0, 0, 0, 61747184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -860123136, 0, 0, 0, 0, 0, -329436984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -427606208, 0, 0, 0, 0, 0, 994646820, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1398371152, 0, 0, 0, 0, 0, -345562840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4096538320, 0, 0, 0, 0, 0, 1818689168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 203176752, 0, 0, 0, 0, 0, 3921964620, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2456671696, 0, 0, 0, 0, 0, -1750879584, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11721989136, 0, 0, 0, 0, 0, -2037438592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3029375424, 0, 0, 0, 0, 0, -4898553064, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7586459728, 0, 0, 0, 0, 0, 2091613664, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21242340304, 0, 0, 0, 0, 0, 6261430272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13008652928, 0, 0, 0, 0, 0, -7368893160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3003163120, 0, 0, 0, 0, 0, -6713888420, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29627137184, 0, 0, 0, 0, 0, -19137614544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28182553120, 0, 0, 0, 0, 0, -13755916408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -59099273232, 0, 0, 0, 0, 0, 15962973224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 70449978976, 0, 0, 0, 0, 0, 30631114516, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -67758199424, 0, 0, 0, 0, 0, 8010315904, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 90474639504, 0, 0, 0, 0, 0, -2759379832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -71697701504, 0, 0, 0, 0, 0, 6114012424, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 133378152672, 0, 0, 0, 0, 0, -16991335344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -130097596640, 0, 0, 0, 0, 0, 9550738392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126329443248, 0, 0, 0, 0, 0, -7082855368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -175261769360, 0, 0, 0, 0, 0, 40867903296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 253666962640, 0, 0, 0, 0, 0, 25078670464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -215874821184, 0, 0, 0, 0, 0, 8631783196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 291303208480, 0, 0, 0, 0, 0, 71093434968, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -324041565920, 0, 0, 0, 0, 0, -123435698544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 290005588576, 0, 0, 0, 0, 0, -9052084640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -520056287120, 0, 0, 0, 0, 0, 12968554616, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 524566493760, 0, 0, 0, 0, 0, -90123556076, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -468800734576, 0, 0, 0, 0, 0, 228019128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 8, 'weight_parity': 1}
• label 288.8.f.a does not appear in mf_hecke_nf
• 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

  
  {'Nk2': 18432, 'analytic_conductor': 89.96688733942706, 'char_conductor': 24, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [288, 2, [127, 37, 65], [1, 1, 1]], 'conrey_index': 143, 'cusp_dim': 320, 'dim': 28, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_orbit_code': 343731601696, 'hecke_orbit_dims': [28], 'label': '288.8.f', 'level': 288, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 352, 'mf_new_dim': 28, 'num_forms': 1, 'prim_orbit_index': 6, 'relative_dim': 28, 'sturm_bound': 384, 'trace_bound': 0, 'trace_display': [0, 0, 0, 0], 'traces': [28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 121168, 0, 0, 0, 0, 0, 437500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1505696, 0, 0, 0, 0, 0, -2272076, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 776272, 0, 0, 0, 0, 0, -2534128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3406992, 0, 0, 0, 0, 0, -26311456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60746256, 0, 0, 0, 0, 0, -18195084, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96412976, 0, 0, 0, 0, 0, -1230888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -47331008, 0, 0, 0, 0, 0, -277262276, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -175536592, 0, 0, 0, 0, 0, -246311032, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -65391248, 0, 0, 0, 0, 0, 522983376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 901440912, 0, 0, 0, 0, 0, 61747184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -860123136, 0, 0, 0, 0, 0, -329436984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -427606208, 0, 0, 0, 0, 0, 994646820, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1398371152, 0, 0, 0, 0, 0, -345562840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4096538320, 0, 0, 0, 0, 0, 1818689168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 203176752, 0, 0, 0, 0, 0, 3921964620, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2456671696, 0, 0, 0, 0, 0, -1750879584, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11721989136, 0, 0, 0, 0, 0, -2037438592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3029375424, 0, 0, 0, 0, 0, -4898553064, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7586459728, 0, 0, 0, 0, 0, 2091613664, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21242340304, 0, 0, 0, 0, 0, 6261430272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13008652928, 0, 0, 0, 0, 0, -7368893160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3003163120, 0, 0, 0, 0, 0, -6713888420, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29627137184, 0, 0, 0, 0, 0, -19137614544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28182553120, 0, 0, 0, 0, 0, -13755916408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -59099273232, 0, 0, 0, 0, 0, 15962973224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 70449978976, 0, 0, 0, 0, 0, 30631114516, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -67758199424, 0, 0, 0, 0, 0, 8010315904, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 90474639504, 0, 0, 0, 0, 0, -2759379832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -71697701504, 0, 0, 0, 0, 0, 6114012424, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 133378152672, 0, 0, 0, 0, 0, -16991335344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -130097596640, 0, 0, 0, 0, 0, 9550738392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126329443248, 0, 0, 0, 0, 0, -7082855368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -175261769360, 0, 0, 0, 0, 0, 40867903296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 253666962640, 0, 0, 0, 0, 0, 25078670464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -215874821184, 0, 0, 0, 0, 0, 8631783196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 291303208480, 0, 0, 0, 0, 0, 71093434968, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -324041565920, 0, 0, 0, 0, 0, -123435698544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 290005588576, 0, 0, 0, 0, 0, -9052084640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -520056287120, 0, 0, 0, 0, 0, 12968554616, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 524566493760, 0, 0, 0, 0, 0, -90123556076, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -468800734576, 0, 0, 0, 0, 0, 228019128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 8, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 224095
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 28, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '288.8.f.a', 'source_level': 288, 'target_char_orbit': 6, 'target_dim': 28, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '72.8.f.a', 'target_level': 72, 'twist_class_label': '72.8.f.a', 'twist_class_level': 72, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 8}
  • id: 224096
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 28, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '288.8.f.a', 'source_level': 288, 'target_char_orbit': 6, 'target_dim': 28, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '72.8.f.a', 'target_level': 72, 'twist_class_label': '72.8.f.a', 'twist_class_level': 72, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 8}
  • id: 224097
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 28, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '288.8.f.a', 'source_level': 288, 'target_char_orbit': 6, 'target_dim': 28, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '72.8.f.a', 'target_level': 72, 'twist_class_label': '72.8.f.a', 'twist_class_level': 72, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 8}
  • id: 224098
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 28, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '288.8.f.a', 'source_level': 288, 'target_char_orbit': 6, 'target_dim': 28, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '72.8.f.a', 'target_level': 72, 'twist_class_label': '72.8.f.a', 'twist_class_level': 72, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 8}
  • id: 224099
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 6, 'source_dim': 28, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '288.8.f.a', 'source_level': 288, 'target_char_orbit': 6, 'target_dim': 28, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '288.8.f.a', 'target_level': 288, 'twist_class_label': '72.8.f.a', 'twist_class_level': 72, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 8}
  • id: 224100
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 28, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '288.8.f.a', 'source_level': 288, 'target_char_orbit': 6, 'target_dim': 28, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '288.8.f.a', 'target_level': 288, 'twist_class_label': '72.8.f.a', 'twist_class_level': 72, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 8}
  • id: 224101
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 28, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '288.8.f.a', 'source_level': 288, 'target_char_orbit': 6, 'target_dim': 28, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '288.8.f.a', 'target_level': 288, 'twist_class_label': '72.8.f.a', 'twist_class_level': 72, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 8}
  • id: 224102
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 28, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '288.8.f.a', 'source_level': 288, 'target_char_orbit': 6, 'target_dim': 28, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '288.8.f.a', 'target_level': 288, 'twist_class_label': '72.8.f.a', 'twist_class_level': 72, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 8}
• hecke_orbit_code 343731601696 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 6, 'hecke_orbit': 1, 'label': '288.8.f.a', 'level': 288, 'portrait': 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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 33120000
    {'hecke_orbit_code': 343731601696, 'n': 1, 'trace_an': 28}
  • id: 33120001
    {'hecke_orbit_code': 343731601696, 'n': 2, 'trace_an': 0}
  • id: 33120002
    {'hecke_orbit_code': 343731601696, 'n': 3, 'trace_an': 0}
  • id: 33120003
    {'hecke_orbit_code': 343731601696, 'n': 4, 'trace_an': 0}
  • id: 33120004
    {'hecke_orbit_code': 343731601696, 'n': 5, 'trace_an': 0}
  • id: 33120005
    {'hecke_orbit_code': 343731601696, 'n': 6, 'trace_an': 0}
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  • id: 33120019
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  • id: 33120023
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  • id: 33120024
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  • id: 33120025
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  • id: 33120026
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  • id: 33120027
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  • id: 33120028
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  • id: 33120031
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  • id: 33120113
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  • id: 33120114
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  • id: 33120115
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  • id: 33120116
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  • id: 33120117
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  • id: 33120118
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  • id: 33120119
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  • id: 33120120
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  • id: 33120121
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  • id: 33120122
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  • id: 33120124
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  • id: 33120125
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  • id: 33120126
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  • id: 33120127
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  • id: 33120128
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  • id: 33120144
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  • id: 33120145
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  • id: 33120215
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  • id: 33120216
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