Newform data - 6624.2.j.b

Formats: - HTML - YAML - JSON - 2026-09-21T03:32:46.940919

• 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': 26496, 'analytic_conductor': 52.89290629889613, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 24, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 10, 'char_orbit_label': 'j', 'char_order': 2, 'char_parity': 1, 'char_values': [6624, 2, [415, 5797, 2945, 2305], [1, 1, 1, 2]], 'cm_discs': [], 'conrey_index': 4463, 'dim': 44, 'has_non_self_twist': 1, 'hecke_orbit': 2, 'hecke_orbit_code': 4504218136222176, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 24, 6, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '6624.2.j.b', 'level': 6624, '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, 23], 'level_radical': 138, 'minimal_twist': '1656.2.j.a', 'prim_orbit_index': 6, 'related_objects': [], 'relative_dim': 44, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '6624.2.j', 'trace_display': [0, 0, 0, 0], 'traces': [44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, -60, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 24, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -56, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, -48, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 48, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 32, 0, 8, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, -32, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -16, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 96, 0, 92, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -64, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, -160, 0, -64, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 32, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 32, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, -64, 0, 88, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 384, 0, 16, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 44, 0, -24, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -56, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 32, 0, 196, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 128, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, -24, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, -96, 0, 40, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -80, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 96, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, -160, 0, -104, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -416, 0, -224, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 32, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 96, 0, 44, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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320, 0, 152, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, -64, 0, -144, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -496, 0, 0, 0, -128, 0], 'weight': 2, 'weight_parity': 1}
• label 6624.2.j.b does not appear in mf_hecke_nf
• 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': 26496, 'analytic_conductor': 52.89290629889613, 'char_conductor': 24, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 10, 'char_orbit_label': 'j', 'char_order': 2, 'char_parity': 1, 'char_values': [6624, 2, [415, 5797, 2945, 2305], [1, 1, 1, 2]], 'conrey_index': 4463, 'cusp_dim': 1120, 'dim': 88, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_orbit_code': 618508851680, 'hecke_orbit_dims': [44, 44], 'label': '6624.2.j', 'level': 6624, '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, 23], 'level_radical': 138, 'mf_dim': 1184, 'mf_new_dim': 88, 'num_forms': 2, 'prim_orbit_index': 6, 'relative_dim': 88, 'sturm_bound': 2304, 'trace_bound': 23, 'trace_display': [0, 0, 0, 0], 'traces': [88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 176, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 392, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 2, '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: 1312582
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 10, 'source_dim': 44, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '6624.2.j.b', 'source_level': 6624, 'target_char_orbit': 10, 'target_dim': 44, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1656.2.j.a', 'target_level': 1656, 'twist_class_label': '1656.2.j.a', 'twist_class_level': 1656, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1312583
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 10, 'source_dim': 44, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '6624.2.j.b', 'source_level': 6624, 'target_char_orbit': 10, 'target_dim': 44, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1656.2.j.a', 'target_level': 1656, 'twist_class_label': '1656.2.j.a', 'twist_class_level': 1656, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1312584
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 10, 'source_dim': 44, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '6624.2.j.b', 'source_level': 6624, 'target_char_orbit': 10, 'target_dim': 44, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1656.2.j.b', 'target_level': 1656, 'twist_class_label': '1656.2.j.a', 'twist_class_level': 1656, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1312585
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 10, 'source_dim': 44, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '6624.2.j.b', 'source_level': 6624, 'target_char_orbit': 10, 'target_dim': 44, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1656.2.j.b', 'target_level': 1656, 'twist_class_label': '1656.2.j.a', 'twist_class_level': 1656, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1312586
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 10, 'source_dim': 44, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '6624.2.j.b', 'source_level': 6624, 'target_char_orbit': 10, 'target_dim': 44, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '6624.2.j.a', 'target_level': 6624, 'twist_class_label': '1656.2.j.a', 'twist_class_level': 1656, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1312587
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 10, 'source_dim': 44, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '6624.2.j.b', 'source_level': 6624, 'target_char_orbit': 10, 'target_dim': 44, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '6624.2.j.a', 'target_level': 6624, 'twist_class_label': '1656.2.j.a', 'twist_class_level': 1656, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1312588
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 10, 'source_dim': 44, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '6624.2.j.b', 'source_level': 6624, 'target_char_orbit': 10, 'target_dim': 44, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '6624.2.j.b', 'target_level': 6624, 'twist_class_label': '1656.2.j.a', 'twist_class_level': 1656, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1312589
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 10, 'source_dim': 44, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '6624.2.j.b', 'source_level': 6624, 'target_char_orbit': 10, 'target_dim': 44, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '6624.2.j.b', 'target_level': 6624, 'twist_class_label': '1656.2.j.a', 'twist_class_level': 1656, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 2}
• hecke_orbit_code 4504218136222176 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': 10, 'hecke_orbit': 2, 'label': '6624.2.j.b', 'level': 6624, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 23555119
    {'hecke_orbit_code': 4504218136222176, 'n': 1, 'trace_an': 44}
  • id: 23555120
    {'hecke_orbit_code': 4504218136222176, 'n': 2, 'trace_an': 0}
  • id: 23555121
    {'hecke_orbit_code': 4504218136222176, 'n': 3, 'trace_an': 0}
  • id: 23555122
    {'hecke_orbit_code': 4504218136222176, 'n': 4, 'trace_an': 0}
  • id: 23555123
    {'hecke_orbit_code': 4504218136222176, 'n': 5, 'trace_an': 0}
  • id: 23555124
    {'hecke_orbit_code': 4504218136222176, 'n': 6, 'trace_an': 0}
  • id: 23555125
    {'hecke_orbit_code': 4504218136222176, 'n': 7, 'trace_an': 0}
  • id: 23555126
    {'hecke_orbit_code': 4504218136222176, 'n': 8, 'trace_an': 0}
  • id: 23555127
    {'hecke_orbit_code': 4504218136222176, 'n': 9, 'trace_an': 0}
  • id: 23555128
    {'hecke_orbit_code': 4504218136222176, 'n': 10, 'trace_an': 0}
  • id: 23555129
    {'hecke_orbit_code': 4504218136222176, 'n': 11, 'trace_an': 0}
  • id: 23555130
    {'hecke_orbit_code': 4504218136222176, 'n': 12, 'trace_an': 0}
  • id: 23555131
    {'hecke_orbit_code': 4504218136222176, 'n': 13, 'trace_an': 0}
  • id: 23555132
    {'hecke_orbit_code': 4504218136222176, 'n': 14, 'trace_an': 0}
  • id: 23555133
    {'hecke_orbit_code': 4504218136222176, 'n': 15, 'trace_an': 0}
  • id: 23555134
    {'hecke_orbit_code': 4504218136222176, 'n': 16, 'trace_an': 0}
  • id: 23555135
    {'hecke_orbit_code': 4504218136222176, 'n': 17, 'trace_an': 0}
  • id: 23555136
    {'hecke_orbit_code': 4504218136222176, 'n': 18, 'trace_an': 0}
  • id: 23555137
    {'hecke_orbit_code': 4504218136222176, 'n': 19, 'trace_an': 0}
  • id: 23555138
    {'hecke_orbit_code': 4504218136222176, 'n': 20, 'trace_an': 0}
  • id: 23555139
    {'hecke_orbit_code': 4504218136222176, 'n': 21, 'trace_an': 0}
  • id: 23555140
    {'hecke_orbit_code': 4504218136222176, 'n': 22, 'trace_an': 0}
  • id: 23555141
    {'hecke_orbit_code': 4504218136222176, 'n': 23, 'trace_an': 44}
  • id: 23555142
    {'hecke_orbit_code': 4504218136222176, 'n': 24, 'trace_an': 0}
  • id: 23555143
    {'hecke_orbit_code': 4504218136222176, 'n': 25, 'trace_an': 44}
  • id: 23555144
    {'hecke_orbit_code': 4504218136222176, 'n': 26, 'trace_an': 0}
  • id: 23555145
    {'hecke_orbit_code': 4504218136222176, 'n': 27, 'trace_an': 0}
  • id: 23555146
    {'hecke_orbit_code': 4504218136222176, 'n': 28, 'trace_an': 0}
  • id: 23555147
    {'hecke_orbit_code': 4504218136222176, 'n': 29, 'trace_an': 0}
  • id: 23555148
    {'hecke_orbit_code': 4504218136222176, 'n': 30, 'trace_an': 0}
  • id: 23555149
    {'hecke_orbit_code': 4504218136222176, 'n': 31, 'trace_an': 0}
  • id: 23555150
    {'hecke_orbit_code': 4504218136222176, 'n': 32, 'trace_an': 0}
  • id: 23555151
    {'hecke_orbit_code': 4504218136222176, 'n': 33, 'trace_an': 0}
  • id: 23555152
    {'hecke_orbit_code': 4504218136222176, 'n': 34, 'trace_an': 0}
  • id: 23555153
    {'hecke_orbit_code': 4504218136222176, 'n': 35, 'trace_an': 0}
  • id: 23555154
    {'hecke_orbit_code': 4504218136222176, 'n': 36, 'trace_an': 0}
  • id: 23555155
    {'hecke_orbit_code': 4504218136222176, 'n': 37, 'trace_an': 0}
  • id: 23555156
    {'hecke_orbit_code': 4504218136222176, 'n': 38, 'trace_an': 0}
  • id: 23555157
    {'hecke_orbit_code': 4504218136222176, 'n': 39, 'trace_an': 0}
  • id: 23555158
    {'hecke_orbit_code': 4504218136222176, 'n': 40, 'trace_an': 0}
  • id: 23555159
    {'hecke_orbit_code': 4504218136222176, 'n': 41, 'trace_an': 0}
  • id: 23555160
    {'hecke_orbit_code': 4504218136222176, 'n': 42, 'trace_an': 0}
  • id: 23555161
    {'hecke_orbit_code': 4504218136222176, 'n': 43, 'trace_an': 32}
  • id: 23555162
    {'hecke_orbit_code': 4504218136222176, 'n': 44, 'trace_an': 0}
  • id: 23555163
    {'hecke_orbit_code': 4504218136222176, 'n': 45, 'trace_an': 0}
  • id: 23555164
    {'hecke_orbit_code': 4504218136222176, 'n': 46, 'trace_an': 0}
  • id: 23555165
    {'hecke_orbit_code': 4504218136222176, 'n': 47, 'trace_an': 0}
  • id: 23555166
    {'hecke_orbit_code': 4504218136222176, 'n': 48, 'trace_an': 0}
  • id: 23555167
    {'hecke_orbit_code': 4504218136222176, 'n': 49, 'trace_an': -28}
  • id: 23555168
    {'hecke_orbit_code': 4504218136222176, 'n': 50, 'trace_an': 0}
  • id: 23555169
    {'hecke_orbit_code': 4504218136222176, 'n': 51, 'trace_an': 0}
  • id: 23555170
    {'hecke_orbit_code': 4504218136222176, 'n': 52, 'trace_an': 0}
  • id: 23555171
    {'hecke_orbit_code': 4504218136222176, 'n': 53, 'trace_an': 0}
  • id: 23555172
    {'hecke_orbit_code': 4504218136222176, 'n': 54, 'trace_an': 0}
  • id: 23555173
    {'hecke_orbit_code': 4504218136222176, 'n': 55, 'trace_an': 0}
  • id: 23555174
    {'hecke_orbit_code': 4504218136222176, 'n': 56, 'trace_an': 0}
  • id: 23555175
    {'hecke_orbit_code': 4504218136222176, 'n': 57, 'trace_an': 0}
  • id: 23555176
    {'hecke_orbit_code': 4504218136222176, 'n': 58, 'trace_an': 0}
  • id: 23555177
    {'hecke_orbit_code': 4504218136222176, 'n': 59, 'trace_an': 0}
  • id: 23555178
    {'hecke_orbit_code': 4504218136222176, 'n': 60, 'trace_an': 0}
  • id: 23555179
    {'hecke_orbit_code': 4504218136222176, 'n': 61, 'trace_an': 0}
  • id: 23555180
    {'hecke_orbit_code': 4504218136222176, 'n': 62, 'trace_an': 0}
  • id: 23555181
    {'hecke_orbit_code': 4504218136222176, 'n': 63, 'trace_an': 0}
  • id: 23555182
    {'hecke_orbit_code': 4504218136222176, 'n': 64, 'trace_an': 0}
  • id: 23555183
    {'hecke_orbit_code': 4504218136222176, 'n': 65, 'trace_an': 0}
  • id: 23555184
    {'hecke_orbit_code': 4504218136222176, 'n': 66, 'trace_an': 0}
  • id: 23555185
    {'hecke_orbit_code': 4504218136222176, 'n': 67, 'trace_an': 0}
  • id: 23555186
    {'hecke_orbit_code': 4504218136222176, 'n': 68, 'trace_an': 0}
  • id: 23555187
    {'hecke_orbit_code': 4504218136222176, 'n': 69, 'trace_an': 0}
  • id: 23555188
    {'hecke_orbit_code': 4504218136222176, 'n': 70, 'trace_an': 0}
  • id: 23555189
    {'hecke_orbit_code': 4504218136222176, 'n': 71, 'trace_an': 32}
  • id: 23555190
    {'hecke_orbit_code': 4504218136222176, 'n': 72, 'trace_an': 0}
  • id: 23555191
    {'hecke_orbit_code': 4504218136222176, 'n': 73, 'trace_an': 16}
  • id: 23555192
    {'hecke_orbit_code': 4504218136222176, 'n': 74, 'trace_an': 0}
  • id: 23555193
    {'hecke_orbit_code': 4504218136222176, 'n': 75, 'trace_an': 0}
  • id: 23555194
    {'hecke_orbit_code': 4504218136222176, 'n': 76, 'trace_an': 0}
  • id: 23555195
    {'hecke_orbit_code': 4504218136222176, 'n': 77, 'trace_an': 0}
  • id: 23555196
    {'hecke_orbit_code': 4504218136222176, 'n': 78, 'trace_an': 0}
  • id: 23555197
    {'hecke_orbit_code': 4504218136222176, 'n': 79, 'trace_an': 0}
  • id: 23555198
    {'hecke_orbit_code': 4504218136222176, 'n': 80, 'trace_an': 0}
  • id: 23555199
    {'hecke_orbit_code': 4504218136222176, 'n': 81, 'trace_an': 0}
  • id: 23555200
    {'hecke_orbit_code': 4504218136222176, 'n': 82, 'trace_an': 0}
  • id: 23555201
    {'hecke_orbit_code': 4504218136222176, 'n': 83, 'trace_an': 0}
  • id: 23555202
    {'hecke_orbit_code': 4504218136222176, 'n': 84, 'trace_an': 0}
  • id: 23555203
    {'hecke_orbit_code': 4504218136222176, 'n': 85, 'trace_an': 0}
  • id: 23555204
    {'hecke_orbit_code': 4504218136222176, 'n': 86, 'trace_an': 0}
  • id: 23555205
    {'hecke_orbit_code': 4504218136222176, 'n': 87, 'trace_an': 0}
  • id: 23555206
    {'hecke_orbit_code': 4504218136222176, 'n': 88, 'trace_an': 0}
  • id: 23555207
    {'hecke_orbit_code': 4504218136222176, 'n': 89, 'trace_an': 0}
  • id: 23555208
    {'hecke_orbit_code': 4504218136222176, 'n': 90, 'trace_an': 0}
  • id: 23555209
    {'hecke_orbit_code': 4504218136222176, 'n': 91, 'trace_an': 48}
  • id: 23555210
    {'hecke_orbit_code': 4504218136222176, 'n': 92, 'trace_an': 0}
  • id: 23555211
    {'hecke_orbit_code': 4504218136222176, 'n': 93, 'trace_an': 0}
  • id: 23555212
    {'hecke_orbit_code': 4504218136222176, 'n': 94, 'trace_an': 0}
  • id: 23555213
    {'hecke_orbit_code': 4504218136222176, 'n': 95, 'trace_an': 0}
  • id: 23555214
    {'hecke_orbit_code': 4504218136222176, 'n': 96, 'trace_an': 0}
  • id: 23555215
    {'hecke_orbit_code': 4504218136222176, 'n': 97, 'trace_an': -32}
  • id: 23555216
    {'hecke_orbit_code': 4504218136222176, 'n': 98, 'trace_an': 0}
  • id: 23555217
    {'hecke_orbit_code': 4504218136222176, 'n': 99, 'trace_an': 0}
  • id: 23555218
    {'hecke_orbit_code': 4504218136222176, 'n': 100, 'trace_an': 0}