Newform data - 736.2.x.a

Formats: - HTML - YAML - JSON - 2026-08-17T16:35:48.135036

• 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': 2944, 'analytic_conductor': 5.876989588766237, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 184, 'char_degree': 10, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 24, 'char_orbit_label': 'x', 'char_order': 22, 'char_parity': 1, 'char_values': [736, 22, [415, 645, 97], [22, 11, 16]], 'cm_discs': [], 'conrey_index': 49, 'dim': 220, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 1580581520096, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 2, 1, 2, 0], [1, 1, 23, 3, 1, 11, 0], [1, 1, 184, 16, 1, 22, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '736.2.x.a', 'level': 736, '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, 23], 'level_radical': 46, 'minimal_twist': '184.2.p.a', 'prim_orbit_index': 16, 'related_objects': [], 'relative_dim': 22, 'rm_discs': [], 'sato_tate_group': '1.2.3.c22', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '736.2.x', 'trace_display': [0, 0, 0, 22], 'traces': [220, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 22, 0, -18, 0, 0, 0, 0, 0, 16, 0, -4, 0, 0, 0, 0, 0, 34, 0, -30, 0, 0, 0, 0, 0, 18, 0, -18, 0, 0, 0, 0, 0, 40, 0, -28, 0, 0, 0, 0, 0, 38, 0, -30, 0, 0, 0, 0, 0, -18, 0, -38, 0, 0, 0, 0, 0, 26, 0, -18, 0, 0, 0, 0, 0, 22, 0, -52, 0, 0, 0, 0, 0, 42, 0, -2, 0, 0, 0, 0, 0, 78, 0, -18, 0, 0, 0, 0, 0, 38, 0, -6, 0, 0, 0, 0, 0, -2, 0, -50, 0, 0, 0, 0, 0, -50, 0, 16, 0, 0, 0, 0, 0, 42, 0, -46, 0, 0, 0, 0, 0, -20, 0, -8, 0, 0, 0, 0, 0, -18, 0, -38, 0, 0, 0, 0, 0, -54, 0, 6, 0, 0, 0, 0, 0, -2, 0, -22, 0, 0, 0, 0, 0, -174, 0, -36, 0, 0, 0, 0, 0, -442, 0, -78, 0, 0, 0, 0, 0, -268, 0, -28, 0, 0, 0, 0, 0, -286, 0, -50, 0, 0, 0, 0, 0, -298, 0, 34, 0, 0, 0, 0, 0, -180, 0, -46, 0, 0, 0, 0, 0, -34, 0, 10, 0, 0, 0, 0, 0, 14, 0, 86, 0, 0, 0, 0, 0, 68, 0, -18, 0, 0, 0, 0, 0, -38, 0, -66, 0, 0, 0, 0, 0, 118, 0, -70, 0, 0, 0, 0, 0, -50, 0, 198, 0, 0, 0, 0, 0, 102, 0, -326, 0, 0, 0, 0, 0, -34, 0, 188, 0, 0, 0, 0, 0, -228, 0, -146, 0, 0, 0, 0, 0, 14, 0, 280, 0, 0, 0, 0, 0, 70, 0, -222, 0, 0, 0, 0, 0, 222, 0, 18, 0, 0, 0, 0, 0, 2, 0, 30, 0, 0, 0, 0, 0, 38, 0, -68, 0, 0, 0, 0, 0, 118, 0, -192, 0, 0, 0, 0, 0, 402, 0, 94, 0, 0, 0, 0, 0, 250, 0, 154, 0, 0, 0, 0, 0, 586, 0, 182, 0, 0, 0, 0, 0, 486, 0, 136, 0, 0, 0, 0, 0, 336, 0, 528, 0, 0, 0, 0, 0, 722, 0, 50, 0, 0, 0, 0, 0, 382, 0, 146, 0, 0, 0, 0, 0, 258, 0, 194, 0, 0, 0, 0, 0, 574, 0, 174, 0, 0, 0, 0, 0, 2, 0, 46, 0, 0, 0, 0, 0, -4, 0, -44, 0, 0, 0, 0, 0, 332, 0, 78, 0, 0, 0, 0, 0, -82, 0, -2, 0, 0, 0, 0, 0, 114, 0, -16, 0, 0, 0, 0, 0, -98, 0, 46, 0, 0, 0, 0, 0, 80, 0, -50, 0, 0, 0, 0, 0, 214, 0, 8, 0, 0, 0, 0, 0, -2, 0, -62, 0, 0, 0, 0, 0, -42, 0, -38, 0, 0, 0, 0, 0, -174, 0, -94, 0, 0, 0, 0, 0, -212, 0, 42, 0, 0, 0, 0, 0, -42, 0, -60, 0, 0, 0, 0, 0, -394, 0, -38, 0, 0, 0, 0, 0, -702, 0, -34, 0, 0, 0, 0, 0, -622, 0, -44, 0, 0, 0, 0, 0, -658, 0, 98, 0, 0, 0, 0, 0, -898, 0, 74, 0, 0, 0, 0, 0, -860, 0, 20, 0, 0, 0, 0, 0, -346, 0, -38, 0, 0, 0, 0, 0, -846, 0, -114, 0, 0, 0, 0, 0, -860, 0, -34, 0, 0, 0, 0, 0, -562, 0, 248, 0, 0, 0, 0, 0, -402, 0, -98, 0, 0, 0, 0, 0, -88, 0, 102, 0, 0, 0, 0, 0, -42, 0, -446, 0, 0, 0, 0, 0, 302, 0, 286, 0, 0, 0, 0, 0, -10, 0, -188, 0, 0, 0, 0, 0, 142, 0, 218, 0, 0, 0, 0, 0, -266, 0, -410, 0, 0, 0, 0, 0, -246, 0, 298, 0, 0, 0, 0, 0, 62, 0, -258, 0, 0, 0, 0, 0, -26, 0, -6, 0, 0, 0, 0, 0, 302, 0, -290, 0, 0, 0, 0, 0, 62, 0, 362, 0, 0, 0, 0, 0, 244, 0, -172, 0, 0, 0, 0, 0, 208, 0, -46, 0, 0, 0, 0, 0, 822, 0, -384, 0, 0, 0, 0, 0, 578, 0, -110, 0, 0, 0, 0, 0, 534, 0, -102, 0, 0, 0, 0, 0, 1130, 0, -384, 0, 0, 0, 0, 0, 508, 0, -260, 0, 0, 0, 0, 0, 506, 0, -222, 0, 0, 0, 0, 0, 478, 0, -30, 0, 0, 0, 0, 0, 854, 0, -266, 0, 0, 0, 0, 0, 662, 0, -290, 0, 0, 0, 0, 0, 442, 0, -278, 0, 0, 0, 0, 0, 476, 0, 50, 0, 0, 0, 0, 0, 74, 0, -118, 0, 0, 0, 0, 0, 132, 0, -122, 0, 0, 0, 0, 0, 266, 0, -50, 0, 0, 0, 0, 0, -202, 0, -222, 0, 0, 0, 0, 0, 298, 0, 84, 0, 0, 0, 0, 0, 384, 0, 110, 0, 0, 0, 0, 0, 62, 0, 60, 0, 0, 0, 0, 0, 142, 0, 34, 0, 0, 0, 0, 0, -852, 0, 62, 0, 0, 0, 0, 0, -314, 0, -150, 0, 0, 0, 0, 0, -202, 0, -112, 0, 0, 0, 0, 0, -1054, 0, -18, 0, 0, 0, 0, 0, -834, 0, 10, 0, 0, 0, 0, 0, -406, 0, 26, 0, 0, 0, 0, 0, -1270, 0, -198, 0, 0, 0, 0, 0, -754, 0, -142, 0, 0, 0, 0, 0, -592, 0, -196, 0, 0, 0, 0, 0, -998, 0, 110, 0, 0, 0, 0, 0, -666, 0, 110, 0, 0, 0, 0, 0, -650, 0, 536, 0, 0, 0, 0, 0, -1170, 0, -178, 0, 0, 0, 0, 0, -336, 0, 308, 0, 0, 0, 0, 0, -520, 0, -180, 0, 0, 0, 0, 0, -690, 0, 390, 0, 0, 0, 0, 0, 46, 0, -582, 0, 0, 0, 0, 0, -202, 0, 210, 0, 0, 0, 0, 0, 406, 0], 'weight': 2, 'weight_parity': 1}
• label 736.2.x.a 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': 2944, 'analytic_conductor': 5.876989588766237, 'char_conductor': 184, 'char_degree': 10, 'char_is_real': False, 'char_orbit_index': 24, 'char_orbit_label': 'x', 'char_order': 22, 'char_parity': 1, 'char_values': [736, 22, [415, 645, 97], [22, 11, 16]], 'conrey_index': 49, 'cusp_dim': 880, 'dim': 220, 'eis_dim': 160, 'eis_new_dim': 40, 'hecke_cutter_primes': [], 'hecke_orbit_code': 1580581520096, 'hecke_orbit_dims': [220], 'label': '736.2.x', 'level': 736, '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, 23], 'level_radical': 46, 'mf_dim': 1040, 'mf_new_dim': 260, 'num_forms': 1, 'prim_orbit_index': 16, 'relative_dim': 22, 'sturm_bound': 192, 'trace_bound': 0, 'trace_display': [0, 0, 0, 22], 'traces': [220, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 22, 0, -18, 0, 0, 0, 0, 0, 16, 0, -4, 0, 0, 0, 0, 0, 34, 0, -30, 0, 0, 0, 0, 0, 18, 0, -18, 0, 0, 0, 0, 0, 40, 0, -28, 0, 0, 0, 0, 0, 38, 0, -30, 0, 0, 0, 0, 0, -18, 0, -38, 0, 0, 0, 0, 0, 26, 0, -18, 0, 0, 0, 0, 0, 22, 0, -52, 0, 0, 0, 0, 0, 42, 0, -2, 0, 0, 0, 0, 0, 78, 0, -18, 0, 0, 0, 0, 0, 38, 0, -6, 0, 0, 0, 0, 0, -2, 0, -50, 0, 0, 0, 0, 0, -50, 0, 16, 0, 0, 0, 0, 0, 42, 0, -46, 0, 0, 0, 0, 0, -20, 0, -8, 0, 0, 0, 0, 0, -18, 0, -38, 0, 0, 0, 0, 0, -54, 0, 6, 0, 0, 0, 0, 0, -2, 0, -22, 0, 0, 0, 0, 0, -174, 0, -36, 0, 0, 0, 0, 0, -442, 0, -78, 0, 0, 0, 0, 0, -268, 0, -28, 0, 0, 0, 0, 0, -286, 0, -50, 0, 0, 0, 0, 0, -298, 0, 34, 0, 0, 0, 0, 0, -180, 0, -46, 0, 0, 0, 0, 0, -34, 0, 10, 0, 0, 0, 0, 0, 14, 0, 86, 0, 0, 0, 0, 0, 68, 0, -18, 0, 0, 0, 0, 0, -38, 0, -66, 0, 0, 0, 0, 0, 118, 0, -70, 0, 0, 0, 0, 0, -50, 0, 198, 0, 0, 0, 0, 0, 102, 0, -326, 0, 0, 0, 0, 0, -34, 0, 188, 0, 0, 0, 0, 0, -228, 0, -146, 0, 0, 0, 0, 0, 14, 0, 280, 0, 0, 0, 0, 0, 70, 0, -222, 0, 0, 0, 0, 0, 222, 0, 18, 0, 0, 0, 0, 0, 2, 0, 30, 0, 0, 0, 0, 0, 38, 0, -68, 0, 0, 0, 0, 0, 118, 0, -192, 0, 0, 0, 0, 0, 402, 0, 94, 0, 0, 0, 0, 0, 250, 0, 154, 0, 0, 0, 0, 0, 586, 0, 182, 0, 0, 0, 0, 0, 486, 0, 136, 0, 0, 0, 0, 0, 336, 0, 528, 0, 0, 0, 0, 0, 722, 0, 50, 0, 0, 0, 0, 0, 382, 0, 146, 0, 0, 0, 0, 0, 258, 0, 194, 0, 0, 0, 0, 0, 574, 0, 174, 0, 0, 0, 0, 0, 2, 0, 46, 0, 0, 0, 0, 0, -4, 0, -44, 0, 0, 0, 0, 0, 332, 0, 78, 0, 0, 0, 0, 0, -82, 0, -2, 0, 0, 0, 0, 0, 114, 0, -16, 0, 0, 0, 0, 0, -98, 0, 46, 0, 0, 0, 0, 0, 80, 0, -50, 0, 0, 0, 0, 0, 214, 0, 8, 0, 0, 0, 0, 0, -2, 0, -62, 0, 0, 0, 0, 0, -42, 0, -38, 0, 0, 0, 0, 0, -174, 0, -94, 0, 0, 0, 0, 0, -212, 0, 42, 0, 0, 0, 0, 0, -42, 0, -60, 0, 0, 0, 0, 0, -394, 0, -38, 0, 0, 0, 0, 0, -702, 0, -34, 0, 0, 0, 0, 0, -622, 0, -44, 0, 0, 0, 0, 0, -658, 0, 98, 0, 0, 0, 0, 0, -898, 0, 74, 0, 0, 0, 0, 0, -860, 0, 20, 0, 0, 0, 0, 0, -346, 0, -38, 0, 0, 0, 0, 0, -846, 0, -114, 0, 0, 0, 0, 0, -860, 0, -34, 0, 0, 0, 0, 0, -562, 0, 248, 0, 0, 0, 0, 0, -402, 0, -98, 0, 0, 0, 0, 0, -88, 0, 102, 0, 0, 0, 0, 0, -42, 0, -446, 0, 0, 0, 0, 0, 302, 0, 286, 0, 0, 0, 0, 0, -10, 0, -188, 0, 0, 0, 0, 0, 142, 0, 218, 0, 0, 0, 0, 0, -266, 0, -410, 0, 0, 0, 0, 0, -246, 0, 298, 0, 0, 0, 0, 0, 62, 0, -258, 0, 0, 0, 0, 0, -26, 0, -6, 0, 0, 0, 0, 0, 302, 0, -290, 0, 0, 0, 0, 0, 62, 0, 362, 0, 0, 0, 0, 0, 244, 0, -172, 0, 0, 0, 0, 0, 208, 0, -46, 0, 0, 0, 0, 0, 822, 0, -384, 0, 0, 0, 0, 0, 578, 0, -110, 0, 0, 0, 0, 0, 534, 0, -102, 0, 0, 0, 0, 0, 1130, 0, -384, 0, 0, 0, 0, 0, 508, 0, -260, 0, 0, 0, 0, 0, 506, 0, -222, 0, 0, 0, 0, 0, 478, 0, -30, 0, 0, 0, 0, 0, 854, 0, -266, 0, 0, 0, 0, 0, 662, 0, -290, 0, 0, 0, 0, 0, 442, 0, -278, 0, 0, 0, 0, 0, 476, 0, 50, 0, 0, 0, 0, 0, 74, 0, -118, 0, 0, 0, 0, 0, 132, 0, -122, 0, 0, 0, 0, 0, 266, 0, -50, 0, 0, 0, 0, 0, -202, 0, -222, 0, 0, 0, 0, 0, 298, 0, 84, 0, 0, 0, 0, 0, 384, 0, 110, 0, 0, 0, 0, 0, 62, 0, 60, 0, 0, 0, 0, 0, 142, 0, 34, 0, 0, 0, 0, 0, -852, 0, 62, 0, 0, 0, 0, 0, -314, 0, -150, 0, 0, 0, 0, 0, -202, 0, -112, 0, 0, 0, 0, 0, -1054, 0, -18, 0, 0, 0, 0, 0, -834, 0, 10, 0, 0, 0, 0, 0, -406, 0, 26, 0, 0, 0, 0, 0, -1270, 0, -198, 0, 0, 0, 0, 0, -754, 0, -142, 0, 0, 0, 0, 0, -592, 0, -196, 0, 0, 0, 0, 0, -998, 0, 110, 0, 0, 0, 0, 0, -666, 0, 110, 0, 0, 0, 0, 0, -650, 0, 536, 0, 0, 0, 0, 0, -1170, 0, -178, 0, 0, 0, 0, 0, -336, 0, 308, 0, 0, 0, 0, 0, -520, 0, -180, 0, 0, 0, 0, 0, -690, 0, 390, 0, 0, 0, 0, 0, 46, 0, -582, 0, 0, 0, 0, 0, -202, 0, 210, 0, 0, 0, 0, 0, 406, 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: 477586
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 24, 'source_dim': 220, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '736.2.x.a', 'source_level': 736, 'target_char_orbit': 16, 'target_dim': 220, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '184.2.p.a', 'target_level': 184, 'twist_class_label': '184.2.p.a', 'twist_class_level': 184, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 477587
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 24, 'source_dim': 220, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '736.2.x.a', 'source_level': 736, 'target_char_orbit': 16, 'target_dim': 220, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '184.2.p.a', 'target_level': 184, 'twist_class_label': '184.2.p.a', 'twist_class_level': 184, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 477588
    {'conductor': 92, 'degree': 10, 'multiplicity': 1, 'order': 22, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 24, 'source_dim': 220, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '736.2.x.a', 'source_level': 736, 'target_char_orbit': 16, 'target_dim': 220, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '184.2.p.a', 'target_level': 184, 'twist_class_label': '184.2.p.a', 'twist_class_level': 184, 'twisting_char_label': '92.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 477589
    {'conductor': 184, 'degree': 10, 'multiplicity': 1, 'order': 22, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 24, 'source_dim': 220, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '736.2.x.a', 'source_level': 736, 'target_char_orbit': 16, 'target_dim': 220, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '184.2.p.a', 'target_level': 184, 'twist_class_label': '184.2.p.a', 'twist_class_level': 184, 'twisting_char_label': '184.k', 'twisting_char_orbit': 11, 'weight': 2}
  • id: 477590
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 24, 'source_dim': 220, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '736.2.x.a', 'source_level': 736, 'target_char_orbit': 24, 'target_dim': 220, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '736.2.x.a', 'target_level': 736, 'twist_class_label': '184.2.p.a', 'twist_class_level': 184, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 477591
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 24, 'source_dim': 220, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '736.2.x.a', 'source_level': 736, 'target_char_orbit': 24, 'target_dim': 220, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '736.2.x.a', 'target_level': 736, 'twist_class_label': '184.2.p.a', 'twist_class_level': 184, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 477592
    {'conductor': 23, 'degree': 10, 'multiplicity': 1, 'order': 11, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 24, 'source_dim': 220, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '736.2.x.a', 'source_level': 736, 'target_char_orbit': 24, 'target_dim': 220, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '736.2.x.a', 'target_level': 736, 'twist_class_label': '184.2.p.a', 'twist_class_level': 184, 'twisting_char_label': '23.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 477593
    {'conductor': 184, 'degree': 10, 'multiplicity': 1, 'order': 22, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 24, 'source_dim': 220, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '736.2.x.a', 'source_level': 736, 'target_char_orbit': 24, 'target_dim': 220, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '736.2.x.a', 'target_level': 736, 'twist_class_label': '184.2.p.a', 'twist_class_level': 184, 'twisting_char_label': '184.p', 'twisting_char_orbit': 16, 'weight': 2}
• hecke_orbit_code 1580581520096 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': 24, 'hecke_orbit': 1, 'label': '736.2.x.a', 'level': 736, '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: 13338924
    {'hecke_orbit_code': 1580581520096, 'n': 1, 'trace_an': 220}
  • id: 13338925
    {'hecke_orbit_code': 1580581520096, 'n': 2, 'trace_an': 0}
  • id: 13338926
    {'hecke_orbit_code': 1580581520096, 'n': 3, 'trace_an': 0}
  • id: 13338927
    {'hecke_orbit_code': 1580581520096, 'n': 4, 'trace_an': 0}
  • id: 13338928
    {'hecke_orbit_code': 1580581520096, 'n': 5, 'trace_an': 0}
  • id: 13338929
    {'hecke_orbit_code': 1580581520096, 'n': 6, 'trace_an': 0}
  • id: 13338930
    {'hecke_orbit_code': 1580581520096, 'n': 7, 'trace_an': 22}
  • id: 13338931
    {'hecke_orbit_code': 1580581520096, 'n': 8, 'trace_an': 0}
  • id: 13338932
    {'hecke_orbit_code': 1580581520096, 'n': 9, 'trace_an': 0}
  • id: 13338933
    {'hecke_orbit_code': 1580581520096, 'n': 10, 'trace_an': 0}
  • id: 13338934
    {'hecke_orbit_code': 1580581520096, 'n': 11, 'trace_an': 0}
  • id: 13338935
    {'hecke_orbit_code': 1580581520096, 'n': 12, 'trace_an': 0}
  • id: 13338936
    {'hecke_orbit_code': 1580581520096, 'n': 13, 'trace_an': 0}
  • id: 13338937
    {'hecke_orbit_code': 1580581520096, 'n': 14, 'trace_an': 0}
  • id: 13338938
    {'hecke_orbit_code': 1580581520096, 'n': 15, 'trace_an': 22}
  • id: 13338939
    {'hecke_orbit_code': 1580581520096, 'n': 16, 'trace_an': 0}
  • id: 13338940
    {'hecke_orbit_code': 1580581520096, 'n': 17, 'trace_an': -18}
  • id: 13338941
    {'hecke_orbit_code': 1580581520096, 'n': 18, 'trace_an': 0}
  • id: 13338942
    {'hecke_orbit_code': 1580581520096, 'n': 19, 'trace_an': 0}
  • id: 13338943
    {'hecke_orbit_code': 1580581520096, 'n': 20, 'trace_an': 0}
  • id: 13338944
    {'hecke_orbit_code': 1580581520096, 'n': 21, 'trace_an': 0}
  • id: 13338945
    {'hecke_orbit_code': 1580581520096, 'n': 22, 'trace_an': 0}
  • id: 13338946
    {'hecke_orbit_code': 1580581520096, 'n': 23, 'trace_an': 16}
  • id: 13338947
    {'hecke_orbit_code': 1580581520096, 'n': 24, 'trace_an': 0}
  • id: 13338948
    {'hecke_orbit_code': 1580581520096, 'n': 25, 'trace_an': -4}
  • id: 13338949
    {'hecke_orbit_code': 1580581520096, 'n': 26, 'trace_an': 0}
  • id: 13338950
    {'hecke_orbit_code': 1580581520096, 'n': 27, 'trace_an': 0}
  • id: 13338951
    {'hecke_orbit_code': 1580581520096, 'n': 28, 'trace_an': 0}
  • id: 13338952
    {'hecke_orbit_code': 1580581520096, 'n': 29, 'trace_an': 0}
  • id: 13338953
    {'hecke_orbit_code': 1580581520096, 'n': 30, 'trace_an': 0}
  • id: 13338954
    {'hecke_orbit_code': 1580581520096, 'n': 31, 'trace_an': 34}
  • id: 13338955
    {'hecke_orbit_code': 1580581520096, 'n': 32, 'trace_an': 0}
  • id: 13338956
    {'hecke_orbit_code': 1580581520096, 'n': 33, 'trace_an': -30}
  • id: 13338957
    {'hecke_orbit_code': 1580581520096, 'n': 34, 'trace_an': 0}
  • id: 13338958
    {'hecke_orbit_code': 1580581520096, 'n': 35, 'trace_an': 0}
  • id: 13338959
    {'hecke_orbit_code': 1580581520096, 'n': 36, 'trace_an': 0}
  • id: 13338960
    {'hecke_orbit_code': 1580581520096, 'n': 37, 'trace_an': 0}
  • id: 13338961
    {'hecke_orbit_code': 1580581520096, 'n': 38, 'trace_an': 0}
  • id: 13338962
    {'hecke_orbit_code': 1580581520096, 'n': 39, 'trace_an': 18}
  • id: 13338963
    {'hecke_orbit_code': 1580581520096, 'n': 40, 'trace_an': 0}
  • id: 13338964
    {'hecke_orbit_code': 1580581520096, 'n': 41, 'trace_an': -18}
  • id: 13338965
    {'hecke_orbit_code': 1580581520096, 'n': 42, 'trace_an': 0}
  • id: 13338966
    {'hecke_orbit_code': 1580581520096, 'n': 43, 'trace_an': 0}
  • id: 13338967
    {'hecke_orbit_code': 1580581520096, 'n': 44, 'trace_an': 0}
  • id: 13338968
    {'hecke_orbit_code': 1580581520096, 'n': 45, 'trace_an': 0}
  • id: 13338969
    {'hecke_orbit_code': 1580581520096, 'n': 46, 'trace_an': 0}
  • id: 13338970
    {'hecke_orbit_code': 1580581520096, 'n': 47, 'trace_an': 40}
  • id: 13338971
    {'hecke_orbit_code': 1580581520096, 'n': 48, 'trace_an': 0}
  • id: 13338972
    {'hecke_orbit_code': 1580581520096, 'n': 49, 'trace_an': -28}
  • id: 13338973
    {'hecke_orbit_code': 1580581520096, 'n': 50, 'trace_an': 0}
  • id: 13338974
    {'hecke_orbit_code': 1580581520096, 'n': 51, 'trace_an': 0}
  • id: 13338975
    {'hecke_orbit_code': 1580581520096, 'n': 52, 'trace_an': 0}
  • id: 13338976
    {'hecke_orbit_code': 1580581520096, 'n': 53, 'trace_an': 0}
  • id: 13338977
    {'hecke_orbit_code': 1580581520096, 'n': 54, 'trace_an': 0}
  • id: 13338978
    {'hecke_orbit_code': 1580581520096, 'n': 55, 'trace_an': 38}
  • id: 13338979
    {'hecke_orbit_code': 1580581520096, 'n': 56, 'trace_an': 0}
  • id: 13338980
    {'hecke_orbit_code': 1580581520096, 'n': 57, 'trace_an': -30}
  • id: 13338981
    {'hecke_orbit_code': 1580581520096, 'n': 58, 'trace_an': 0}
  • id: 13338982
    {'hecke_orbit_code': 1580581520096, 'n': 59, 'trace_an': 0}
  • id: 13338983
    {'hecke_orbit_code': 1580581520096, 'n': 60, 'trace_an': 0}
  • id: 13338984
    {'hecke_orbit_code': 1580581520096, 'n': 61, 'trace_an': 0}
  • id: 13338985
    {'hecke_orbit_code': 1580581520096, 'n': 62, 'trace_an': 0}
  • id: 13338986
    {'hecke_orbit_code': 1580581520096, 'n': 63, 'trace_an': -18}
  • id: 13338987
    {'hecke_orbit_code': 1580581520096, 'n': 64, 'trace_an': 0}
  • id: 13338988
    {'hecke_orbit_code': 1580581520096, 'n': 65, 'trace_an': -38}
  • id: 13338989
    {'hecke_orbit_code': 1580581520096, 'n': 66, 'trace_an': 0}
  • id: 13338990
    {'hecke_orbit_code': 1580581520096, 'n': 67, 'trace_an': 0}
  • id: 13338991
    {'hecke_orbit_code': 1580581520096, 'n': 68, 'trace_an': 0}
  • id: 13338992
    {'hecke_orbit_code': 1580581520096, 'n': 69, 'trace_an': 0}
  • id: 13338993
    {'hecke_orbit_code': 1580581520096, 'n': 70, 'trace_an': 0}
  • id: 13338994
    {'hecke_orbit_code': 1580581520096, 'n': 71, 'trace_an': 26}
  • id: 13338995
    {'hecke_orbit_code': 1580581520096, 'n': 72, 'trace_an': 0}
  • id: 13338996
    {'hecke_orbit_code': 1580581520096, 'n': 73, 'trace_an': -18}
  • id: 13338997
    {'hecke_orbit_code': 1580581520096, 'n': 74, 'trace_an': 0}
  • id: 13338998
    {'hecke_orbit_code': 1580581520096, 'n': 75, 'trace_an': 0}
  • id: 13338999
    {'hecke_orbit_code': 1580581520096, 'n': 76, 'trace_an': 0}
  • id: 13339000
    {'hecke_orbit_code': 1580581520096, 'n': 77, 'trace_an': 0}
  • id: 13339001
    {'hecke_orbit_code': 1580581520096, 'n': 78, 'trace_an': 0}
  • id: 13339002
    {'hecke_orbit_code': 1580581520096, 'n': 79, 'trace_an': 22}
  • id: 13339003
    {'hecke_orbit_code': 1580581520096, 'n': 80, 'trace_an': 0}
  • id: 13339004
    {'hecke_orbit_code': 1580581520096, 'n': 81, 'trace_an': -52}
  • id: 13339005
    {'hecke_orbit_code': 1580581520096, 'n': 82, 'trace_an': 0}
  • id: 13339006
    {'hecke_orbit_code': 1580581520096, 'n': 83, 'trace_an': 0}
  • id: 13339007
    {'hecke_orbit_code': 1580581520096, 'n': 84, 'trace_an': 0}
  • id: 13339008
    {'hecke_orbit_code': 1580581520096, 'n': 85, 'trace_an': 0}
  • id: 13339009
    {'hecke_orbit_code': 1580581520096, 'n': 86, 'trace_an': 0}
  • id: 13339010
    {'hecke_orbit_code': 1580581520096, 'n': 87, 'trace_an': 42}
  • id: 13339011
    {'hecke_orbit_code': 1580581520096, 'n': 88, 'trace_an': 0}
  • id: 13339012
    {'hecke_orbit_code': 1580581520096, 'n': 89, 'trace_an': -2}
  • id: 13339013
    {'hecke_orbit_code': 1580581520096, 'n': 90, 'trace_an': 0}
  • id: 13339014
    {'hecke_orbit_code': 1580581520096, 'n': 91, 'trace_an': 0}
  • id: 13339015
    {'hecke_orbit_code': 1580581520096, 'n': 92, 'trace_an': 0}
  • id: 13339016
    {'hecke_orbit_code': 1580581520096, 'n': 93, 'trace_an': 0}
  • id: 13339017
    {'hecke_orbit_code': 1580581520096, 'n': 94, 'trace_an': 0}
  • id: 13339018
    {'hecke_orbit_code': 1580581520096, 'n': 95, 'trace_an': 78}
  • id: 13339019
    {'hecke_orbit_code': 1580581520096, 'n': 96, 'trace_an': 0}
  • id: 13339020
    {'hecke_orbit_code': 1580581520096, 'n': 97, 'trace_an': -18}
  • id: 13339021
    {'hecke_orbit_code': 1580581520096, 'n': 98, 'trace_an': 0}
  • id: 13339022
    {'hecke_orbit_code': 1580581520096, 'n': 99, 'trace_an': 0}
  • id: 13339023
    {'hecke_orbit_code': 1580581520096, 'n': 100, 'trace_an': 0}