Newform data - 1408.2.a.k

Formats: - HTML - YAML - JSON - 2026-10-25T19:22:37.538243

• 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': 5632, 'analytic_conductor': 11.242936604596277, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [11, 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': [1408, 1, [639, 133, 1025], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 24, 'field_disc_factorization': [[2, 3], [3, 1]], 'field_poly': [-6, 0, 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': [[3, [-5, -2, 1]], [5, [3, 1]], [7, [-6, 0, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45035996307260800, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], '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': '1408.2.a.k', 'level': 1408, '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, 11], 'level_radical': 22, 'minimal_twist': '1408.2.a.e', 'nf_label': '2.2.24.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(1+\\beta )q^{3}-3q^{5}+\\beta q^{7}+(4+2\\beta )q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1408.2.a', 'trace_display': [0, 2, -6, 0], 'trace_hash': 1509902420967854919, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.066', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.904', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.107', 'prec': 10}, {'__RealLiteral__': 0, 'data': '9.385', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '66.446', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.024', 'prec': 7}, 'traces': [2, 0, 2, 0, -6, 0, 0, 0, 8, 0, -2, 0, -8, 0, -6, 0, 4, 0, -4, 0, 12, 0, 6, 0, 8, 0, 26, 0, 0, 0, 2, 0, -2, 0, 0, 0, 10, 0, 4, 0, 0, 0, -12, 0, -24, 0, 8, 0, -2, 0, 16, 0, -8, 0, 6, 0, -16, 0, 10, 0, -16, 0, 24, 0, 24, 0, 6, 0, 18, 0, -6, 0, 0, 0, 8, 0, 0, 0, -12, 0, 38, 0, 12, 0, -12, 0, 48, 0, -18, 0, 12, 0, -10, 0, 12, 0, 6, 0, -8, 0, -4, 0, 12, 0, -36, 0, 0, 0, -4, 0, 10, 0, 6, 0, -18, 0, -8, 0, 12, 0, 2, 0, -12, 0, 6, 0, -20, 0, 12, 0, 8, 0, -12, 0, -78, 0, -14, 0, -16, 0, -16, 0, 8, 0, 0, 0, -2, 0, -4, 0, -28, 0, 40, 0, -6, 0, -2, 0, -32, 0, 12, 0, -24, 0, 6, 0, 28, 0, 18, 0, -40, 0, 4, 0, 0, 0, -2, 0, 26, 0, 6, 0, -16, 0, -30, 0, -4, 0, 36, 0, 10, 0, -32, 0, -12, 0, -12, 0, -16, 0, -30, 0, 48, 0, 0, 0, 48, 0, 4, 0, -16, 0, 54, 0, 36, 0, -12, 0, -12, 0, -4, 0, -26, 0, 32, 0, -8, 0, 18, 0, -12, 0, 16, 0, -24, 0, -36, 0, 4, 0, -32, 0, 80, 0, 6, 0, 4, 0, -12, 0, 18, 0, -6, 0, -48, 0, 0, 0, 0, 0, 96, 0, -24, 0, 24, 0, 6, 0, -24, 0, 28, 0, -36, 0, -8, 0, 20, 0, -16, 0, -20, 0, 32, 0, 48, 0, -12, 0, -14, 0, 6, 0, 0, 0, -30, 0, -26, 0, -12, 0, 24, 0, 8, 0, 48, 0, -20, 0, 12, 0, 32, 0, 26, 0, -72, 0, -42, 0, 0, 0, -84, 0, -20, 0, -32, 0, -52, 0, -24, 0, -38, 0, 40, 0, -18, 0, -28, 0, -66, 0, -2, 0, 0, 0, -54, 0, -20, 0, 28, 0, -68, 0, 34, 0, 18, 0, 36, 0, 12, 0, -18, 0, 2, 0, 0, 0, 2, 0, -24, 0, -24, 0, 12, 0, 6, 0, 48, 0, 14, 0, -8, 0, 26, 0, 0, 0, 0, 0, -22, 0, 24, 0, 68, 0, 36, 0, 40, 0, -36, 0, -16, 0, -20, 0, -114, 0, -10, 0, 4, 0, 10, 0, -12, 0, -36, 0, 20, 0, 32, 0, 8, 0, -16, 0, 16, 0, 0, 0, -4, 0, 0, 0, -22, 0, -144, 0, -24, 0, 40, 0, -8, 0, -54, 0, 54, 0, 56, 0, -26, 0, 0, 0, -52, 0, -36, 0, -24, 0, 88, 0, -40, 0, 14, 0, 30, 0, 26, 0, -36, 0, 46, 0, 12, 0, -16, 0, -80, 0, 12, 0, -40, 0, 48, 0, -18, 0, -22, 0, 24, 0, 24, 0, 48, 0, 24, 0, 60, 0, 56, 0, 40, 0, 36, 0, 12, 0, -78, 0, 66, 0, -12, 0, -88, 0, -36, 0, -8, 0, -44, 0, 46, 0, 28, 0, 48, 0, -8, 0, -16, 0, 16, 0, -12, 0, 0, 0, 38, 0, 2, 0, 40, 0, -66, 0, 12, 0, 40, 0, -64, 0, -48, 0, -24, 0, -30, 0, -36, 0, 72, 0, -16, 0, 24, 0, -18, 0, 120, 0, 24, 0, 24, 0, -2, 0, 24, 0, 34, 0, 16, 0, -24, 0, 8, 0, 24, 0, 60, 0, 8, 0, -108, 0, 0, 0, -36, 0, 32, 0, 32, 0, -44, 0, -48, 0, -6, 0, 20, 0, 48, 0, -56, 0, -72, 0, 36, 0, 0, 0, 38, 0, 114, 0, 24, 0, -58, 0, 16, 0, 20, 0, 34, 0, -64, 0, 60, 0, 8, 0, 96, 0, 90, 0, -14, 0, -36, 0, -6, 0, -10, 0, 0, 0, 18, 0, -24, 0, -24, 0, 52, 0, 66, 0, -28, 0, 36, 0, 48, 0, 10, 0, 16, 0, -44, 0, 104, 0, -60, 0, 0, 0, -44, 0, 24, 0, 42, 0, 42, 0, 8, 0, -22, 0, -24, 0, 48, 0, -12, 0, 64, 0, -36, 0, -20, 0, 48, 0, 12, 0, 50, 0, -96, 0, -6, 0, -24, 0, -68, 0, -6, 0, 0, 0, 16, 0, 0, 0, 6, 0, 206, 0, 0, 0, 24, 0, 6, 0, -6, 0, 28, 0, 28, 0, 64, 0, 12, 0, 0, 0, -84, 0, -26, 0, 54, 0, 84, 0, -48, 0, -18, 0, 16, 0, -48, 0, -120, 0, -52, 0, -24, 0, -24, 0, 36, 0, 8, 0, 60, 0, 12, 0, 6, 0, 144, 0, 6, 0, -8, 0, -36, 0, -72, 0, 64, 0, 96, 0, -62, 0, -8, 0, -24, 0, 0, 0, -36, 0, -120, 0, 40, 0, -44, 0, 16, 0, 72, 0, 0, 0, -48, 0, -36, 0, -2, 0, -8, 0, -60, 0, 14, 0, 68, 0, -4, 0, -84, 0, -10, 0, 50, 0, 134, 0, -116, 0, -54, 0, 0, 0, 32, 0, 30, 0, -36, 0, 120, 0, 48, 0, -2, 0, -12, 0, -16, 0, -12, 0, 34, 0, 12, 0, -60, 0, 24, 0, 0, 0, -8, 0, -108, 0, -66, 0, 60, 0, 6, 0, 76, 0, 12, 0, -38, 0, 8, 0, -78, 0, -24, 0, -48, 0, -40, 0, -48, 0, -18, 0, 40, 0, 8, 0, -80, 0, -12, 0, 48, 0, 60, 0, 44, 0, -104, 0, 84, 0, 40, 0, 48, 0, 0, 0, 4, 0, 104, 0, 12, 0, 24, 0, 50, 0, 44, 0, -12, 0, -108, 0, 70, 0, -12, 0, -42, 0, -12, 0, -30, 0, -48, 0, 24, 0, -48, 0, -168, 0, 96, 0, 32, 0, -68, 0, -22, 0, 36, 0, 16, 0, -6, 0, 18, 0, -112, 0, -38, 0, 36, 0, 24, 0, -12, 0, 16, 0, -2, 0, 48, 0, 4, 0, 130, 0, -12, 0, 8, 0, 90, 0, 40, 0, 44, 0, -88, 0, -30, 0, -144, 0, -120, 0, -68, 0, -8, 0, 10, 0, 0, 0, 24, 0, -96, 0, 12, 0, -16, 0, -144, 0, -32, 0, 26, 0, 64, 0, 60, 0, -12, 0, 40, 0, -14, 0, -40, 0, -32, 0, 48, 0, -24, 0, 106, 0, -6, 0, -64, 0, -162, 0, -6, 0, -16, 0, 96, 0, 0, 0, -48, 0, 72, 0, -72, 0, 0, 0, 30, 0, 36, 0, -32, 0, 8, 0, -60, 0, -42, 0, 36, 0, 12, 0, 48, 0, 134, 0, -6, 0, 12, 0, -36, 0, 8, 0, 4, 0, -72, 0, 78, 0, 32, 0, 0, 0, -8, 0, 40, 0, 24, 0, -6, 0, 100, 0, -144, 0, -12, 0, 24, 0, 146, 0, -24, 0, 48, 0, -56, 0, -54, 0, 10, 0, -10, 0, 4, 0, 66, 0, 36, 0, 96, 0, 32, 0, -84, 0, 48, 0, -48, 0, 50, 0, 12, 0, 10, 0, 84, 0, 32, 0, 0, 0, 152, 0, -28, 0, -96, 0, 108, 0, -20, 0, -48, 0, -32, 0, -58, 0, -12, 0, -96, 0, 4, 0, -100, 0, -40, 0, 96, 0, 48, 0, 40, 0, -48, 0, 18, 0, -240, 0, 4, 0, -48, 0, -10, 0, 32, 0, -8, 0, 100, 0, 48, 0, 44, 0, -8, 0, -12, 0, 28, 0, 48, 0, -12, 0, -6, 0, 36, 0, 96, 0, -72, 0, 8, 0, 12, 0, -54, 0, -88, 0, -34, 0, -24, 0, -112, 0, 18, 0, -72, 0, 32, 0, 12, 0, 24, 0, 64, 0, -70, 0, -26, 0, -96, 0, 0, 0, 0, 0, 8, 0, 48, 0, -120, 0, -60, 0, 0, 0, 64, 0, -70, 0, 78, 0, -26, 0, -288, 0, 36, 0, -12, 0, -84, 0, 28, 0, 72, 0, -8, 0, -8, 0, -50, 0, -26, 0, -32, 0, 76, 0, -18, 0, -2, 0, -36, 0, -18, 0, -12, 0, -48, 0, 104, 0, -48, 0, 72, 0, -98, 0, -48, 0, 48, 0, 12, 0, -84, 0, 18, 0, -160, 0, 48, 0, -96, 0, 108, 0, -20, 0, -24, 0, -72, 0, 38, 0, -6, 0, 196, 0, -96, 0, 32, 0, -40, 0, -60, 0, 12, 0, -46, 0, -84, 0, 48, 0, 48, 0, 20, 0, -132, 0, 62, 0, -48, 0, 60, 0, 0, 0, -90, 0, 0, 0, 88, 0, -96, 0, -32, 0, -12, 0, 0, 0, -10, 0, -64, 0, 60, 0, -20, 0, -176, 0, 24, 0, 36, 0, 0, 0, -60, 0, -8, 0, 20, 0, 42, 0, 28, 0, 120, 0, 28, 0, 10, 0, -18, 0, 32, 0, 20, 0, -10, 0, 12, 0, 0, 0, 0, 0, -96, 0, -20, 0, 120, 0, 40, 0, -48, 0, 144, 0, 8, 0, -66, 0, 78, 0, 4, 0, -58, 0, 24, 0, 48, 0, 36, 0, 56, 0, -10, 0, 48, 0, 136, 0, -72, 0, 14, 0, 60, 0, -42, 0, -12, 0, -24, 0, 0, 0, -2, 0, -120, 0, 30, 0, -64, 0, 42, 0, 16, 0, 104, 0, -12, 0, 60, 0, -96, 0, -196, 0, -18, 0, 16, 0, -36, 0, -24, 0, -2, 0, 16, 0, 0, 0, -96, 0, -80, 0, -64, 0, 36, 0, 46, 0, -78, 0, -80, 0, -32, 0, -8, 0, -8, 0, 96, 0, 0, 0, 12, 0, -20, 0, 36, 0, 126, 0, 56, 0, -36, 0, -60, 0, 94, 0, 0, 0, -40, 0, 36, 0, 60, 0, 24, 0, 252, 0, -74, 0, 0, 0, 128, 0, -92, 0, 60, 0, 2, 0, -8, 0, -4, 0, 28, 0, -24, 0, -72, 0, -120, 0, 48, 0, 42, 0, 156, 0, -6, 0, 4, 0, -56, 0, 16, 0, 72, 0, -208, 0, 12, 0, 92, 0, -144, 0, 114, 0, -4, 0, -96, 0, 28, 0, -8, 0, -120, 0, -44, 0, -20, 0, 24, 0, -72, 0, 24, 0, -96, 0, -12, 0, -70, 0, -40, 0, 84, 0, 48, 0, -24, 0, 12, 0, 44, 0, 198, 0, 32, 0, 56, 0, 240, 0, 28, 0, 6, 0, 72, 0, 78, 0, -48, 0, -24, 0, 0, 0, 4, 0, 16, 0, 26, 0, -4, 0, 72, 0, 2, 0, 24, 0, -86, 0, -4, 0, 60, 0, -32, 0, 40, 0, -38, 0, 48, 0, -84, 0, -38, 0, 32, 0, 24, 0, -32, 0, 204, 0, 36, 0, 100, 0, 12, 0, -24, 0, -102, 0, 20, 0, 0, 0, -12, 0, -240, 0, -24, 0, 80, 0, 96, 0, 80, 0, -54, 0, -108, 0, 38, 0, 36, 0, 32, 0, 24, 0, -36, 0, -64, 0, -24, 0, -32, 0, 40, 0, 54, 0, 100, 0, -30, 0, 36, 0, -10, 0, -6, 0, -60, 0, -84, 0, -52, 0, 20, 0, 0, 0, 192, 0, 22, 0, -10, 0, 88, 0, -6, 0, -28, 0, -72, 0, -12, 0, -12, 0, 72, 0, 12, 0, 34, 0, -144, 0, -56, 0, 72, 0, 122, 0, -18, 0, -20, 0, 234, 0, -36, 0, 0, 0, -84, 0, -38, 0, -16, 0, -58, 0, -28, 0, -66, 0, 40, 0, -96, 0, -144, 0, 80, 0, -28, 0, -16, 0, 22, 0, -42, 0, -12, 0, -160, 0, 2, 0, -4, 0, 24, 0, 0, 0, 12, 0, -4, 0, -24, 0, -78, 0, 102, 0, -4, 0, -60, 0, 90, 0, 0, 0, 24, 0, 94, 0, 40, 0, -12, 0, 0, 0, 76, 0, 48, 0, -66, 0, -144, 0, 66, 0, 2, 0, 112, 0, -46, 0, -24, 0, -72, 0, -24, 0, -6, 0, -40, 0, 88, 0, -204, 0, -96, 0, -26, 0, -36, 0, -10, 0, -48, 0, 28, 0, -48, 0, 0, 0, 138, 0, -120, 0, 12, 0, -64, 0, -6, 0, 4, 0, 108, 0, -16, 0, 104, 0, 192, 0, 24, 0, 48, 0, -32, 0, 0, 0, 46, 0, 16, 0, 60, 0, 62, 0, -44, 0, -96, 0, 48, 0, 152, 0, -102, 0, 2, 0, -144, 0, 84, 0, 30, 0, 36, 0, -80, 0, 56, 0, -104, 0, -12, 0, -30, 0, 96, 0, -108, 0, -112, 0, -30, 0, 4, 0, 240, 0, 120, 0, 16, 0, 36, 0, 56, 0, -72, 0, 56, 0, 38, 0, 48, 0, 42, 0, -36, 0, -12, 0, 130, 0, -60, 0, 136, 0, -52, 0, -36, 0, -12, 0, -96, 0, 160, 0, -46, 0, -10, 0, -96, 0, -24, 0, 12, 0, -80, 0, -100, 0, -64, 0, 48, 0, -48, 0, 144, 0, -12, 0, 32, 0, 12, 0, 26, 0, -72, 0, -12, 0, -228, 0, 0, 0, 86, 0, -30, 0, 84, 0, 86, 0, 12, 0, 60, 0, -84, 0, -128, 0, -4, 0, 0, 0, -42, 0, -28, 0, -26, 0, 72, 0, 66, 0, 12, 0, -32, 0, -100, 0, 24, 0, 192, 0, 72, 0, 18, 0, -54, 0, 50, 0, 72, 0, 326, 0, 16, 0, 24, 0, -24, 0, -120, 0, -64, 0, 168, 0, -66, 0, -10, 0, 24, 0, 84, 0, -14, 0, 30, 0, -24, 0, 162, 0, 196, 0, 0, 0, -12, 0, 64, 0, -72, 0, 76, 0, -32, 0, 18, 0, -48, 0, -168, 0, -24, 0, -72, 0, 84, 0, 120, 0, 78, 0, -84, 0, -64, 0, 80, 0, -134, 0, 0, 0, -80, 0, 144, 0, -48, 0, 12, 0, 156, 0, -42, 0, 30, 0, 48, 0, 96, 0, 48, 0, -48, 0, 0, 0, 10, 0, 100, 0, 72, 0, 104, 0, -72, 0, -96, 0, 82, 0, -264, 0, -118, 0, -4, 0, 56, 0, -8, 0, 120, 0, 12, 0, -72, 0, 90, 0, -48, 0, -42, 0, 36, 0, 132, 0, 16, 0, 0, 0, -40, 0, -92, 0, -4, 0, 120, 0, 58, 0, -78, 0, 36, 0, 92, 0, 74, 0, -54, 0, 108, 0, -74, 0, 480, 0, -36, 0, -96, 0, -138, 0, -26, 0, -60, 0, 136, 0, 4, 0, -36, 0, -120, 0, 36, 0, -4, 0, -36, 0, -12, 0, 22, 0, -32, 0, 48, 0, 128, 0, 240, 0, 12, 0, -84, 0, -134, 0, -12, 0, -36, 0, -8, 0, 118, 0, -82, 0, -162, 0, 120, 0, -96, 0, 12, 0, -92, 0, 28, 0, -144, 0, -36, 0, 12, 0, -288, 0, 126, 0, 24, 0, 28, 0, 84, 0, 4, 0, -116, 0, 66, 0, 100, 0, 88, 0, 4, 0, 12, 0, -72, 0, 18, 0, 12, 0, 24, 0, 26, 0, -72, 0, 12, 0, 24, 0, -84, 0, -180, 0, -144, 0, 34, 0, -206, 0, 72, 0, 46, 0, -32, 0, -8, 0, 30, 0, -96, 0, -52, 0, -180, 0, 62, 0, -76, 0, 16, 0, 176, 0, -168, 0, 8, 0, -16, 0, 0, 0, 164, 0, -120, 0, -60, 0, 176, 0, -82, 0, 60, 0, -108, 0, 158, 0, -18, 0, -56, 0, 134, 0, -16, 0, 48, 0, -272, 0, -2, 0, 52, 0, 234, 0, -84, 0, 44, 0, 12, 0, 24, 0, -198, 0, 128, 0, -8, 0, 52, 0, 90, 0, 36, 0, -90, 0, 12, 0, -48, 0, -16, 0, 264, 0, -80, 0, 132, 0, 48, 0, 36, 0, 48, 0, -110, 0, -132, 0, 96, 0, -48, 0, 24, 0, 112, 0, -64, 0, 40, 0, -132, 0, 132, 0, 8, 0, -54, 0, 40, 0, 4, 0, -138, 0, 36, 0, 60, 0, -12, 0, 120, 0, -84, 0, -124, 0, 78, 0, 40, 0, 96, 0, 36, 0, -30, 0, -4, 0, 196, 0, 126, 0, 24, 0, -216, 0, -192, 0, -4, 0, -42, 0, 48, 0, -48, 0, 108, 0, 32, 0, 132, 0, -48, 0, 28, 0, -80, 0, 52, 0, -42, 0, 36, 0, -108, 0, 44, 0, 24, 0, -80, 0, 0, 0, 74, 0, 8, 0, -36, 0, -52, 0, -114, 0, -14, 0, 46, 0, -72, 0, 6, 0, -6, 0, 0, 0, -66, 0, 0, 0, -136, 0, -120, 0, 130, 0, -48, 0, -6, 0, 104, 0, 198, 0, -4, 0, 8, 0, -104, 0, 72, 0, -16, 0, -16, 0, -32, 0, -32, 0, -8, 0, -120, 0, 60, 0, 12, 0, -132, 0, 16, 0, 192, 0, 36, 0, -84, 0, 108, 0, 38, 0, 144, 0, -28, 0, -42, 0, -18, 0, -248, 0, 72, 0, -32, 0, -192, 0, 0, 0, 64, 0, 40, 0, 48, 0, -72, 0, 156, 0, 6, 0, 108, 0, -120, 0, 32, 0, 80, 0, 16, 0, -216, 0, -28, 0, 272, 0, -32, 0, 104, 0, 48, 0, -24, 0, -26, 0, -108, 0, 0, 0, -72, 0, 152, 0, -58, 0, 60, 0, 44, 0, 24, 0, 0, 0, -48, 0, -52, 0, 36, 0, -360, 0, 12, 0, 68, 0, -38, 0, 24, 0, -72, 0, 36, 0, 0, 0, -96, 0, -168, 0, -72, 0, -20, 0, 96, 0, -114, 0, 96, 0, 6, 0, -64, 0, 80, 0, -96, 0, -60, 0, 18, 0, -60, 0, -88, 0, -108, 0, -72, 0, -102, 0, 62, 0, -252, 0, -10, 0, 24, 0, -48, 0, 4, 0, 140, 0, -64, 0, -132, 0, 72, 0, -176, 0, 86, 0, -60, 0, -34, 0, -24, 0, 32, 0, -60, 0, -48, 0, -60, 0, -32, 0, 12, 0, 48, 0, -30, 0, -120, 0, -180, 0, -6, 0, -104, 0, -40, 0, -196, 0, -24, 0, -120, 0, -170, 0, -4, 0, 136, 0, 324, 0, -38, 0, 24, 0, 0, 0, -110, 0, 0, 0, -12, 0, 36, 0, -38, 0, -128, 0, 48, 0, -48, 0, -80, 0, -28, 0, -44, 0, -96, 0, 0, 0, 16, 0, -128, 0, 12, 0, -96, 0, 190, 0, 32, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0], [0, 0], [1, 1], [0, 0], [-3, 0], [0, 0], [0, 1], [0, 0], [4, 2], [0, 0], [-1, 0], [0, 0], [-4, 1], [0, 0], [-3, -3], [0, 0], [2, 1], [0, 0], [-2, -1], [0, 0], [6, 1], [0, 0], [3, 1], [0, 0], [4, 0], [0, 0], [13, 3], [0, 0], [0, 4], [0, 0], [1, -1], [0, 0], [-1, -1], [0, 0], [0, -3], [0, 0], [5, 0], [0, 0], [2, -3], [0, 0], [0, -1], [0, 0], [-6, 2], [0, 0], [-12, -6], [0, 0], [4, -2], [0, 0], [-1, 0], [0, 0], [8, 3], [0, 0], [-4, -2], [0, 0], [3, 0], [0, 0], [-8, -3], [0, 0], [5, -1], [0, 0], [-8, 0], [0, 0], [12, 4], [0, 0], [12, -3], [0, 0], [3, -3], [0, 0], [9, 4], [0, 0], [-3, 5], [0, 0], [0, -1], [0, 0], [4, 4], [0, 0], [0, -1], [0, 0], [-6, -2], [0, 0], [19, 10], [0, 0], [6, -2], [0, 0], [-6, -3], [0, 0], [24, 4], [0, 0], [-9, 2], [0, 0], [6, -4], [0, 0], [-5, 0], [0, 0], [6, 3], [0, 0], [3, 0], [0, 0], [-4, -2], [0, 0]], 'ap': [[0, 0], [1, 1], [-3, 0], [0, 1], [-1, 0], [-4, 1], [2, 1], [-2, -1], [3, 1], [0, 4], [1, -1], [5, 0], [0, -1], [-6, 2], [4, -2], [-4, -2], [5, -1], [-8, 0], [3, -3], [-3, 5], [0, -1], [-6, -2], [6, -2], [-9, 2], [3, 0], [-2, 1], [6, 0], [0, -7], [-2, -4], [3, -6], [-10, 1], [4, 5], [-7, 2], [-8, 3], [-2, 5], [-14, -2], [-1, 4], [-12, 4], [14, 1], [2, -4], [13, 1], [3, -6], [5, -1], [-16, 4], [-6, -8], [-8, 4], [-8, -4], [-13, 3], [-4, -3], [9, 2], [8, 4], [2, -6], [-16, 4], [9, 3], [0, -2], [-12, -1], [-12, -8], [14, -1], [10, 4], [-10, -8], [16, 0], [0, -9], [-10, -7], [16, 6], [13, 2], [-21, 0], [-19, 3], [-14, -5], [-10, 7], [14, 1], [17, 6], [6, 5], [1, 11], [6, -1], [7, 11], [13, -3], [-11, 6], [20, -6], [-8, -2], [2, 8], [16, -10], [4, -10], [0, -5], [-11, -4], [20, -4], [-27, 3], [-13, -6], [-12, -4], [-20, 0], [7, -5], [13, 3], [6, -1], [-11, 1], [12, 8], [28, 0], [18, 2], [33, -2], [23, 0], [14, -5], [20, -1], [20, -8], [-18, 5], [12, -4], [12, 4], [12, -4], [17, -10], [30, -4], [0, 8], [16, -8], [-22, 7], [10, -6], [-36, 0], [0, -12], [19, 7], [17, -1], [45, 0], [-7, 9], [-3, -5], [9, -2], [26, -2], [33, 6], [-22, 0], [-30, -7], [12, 6], [-11, 5], [-18, -5], [25, -2], [-3, -3], [3, -5], [12, 12], [14, 14], [32, -8], [-13, -9], [-24, 8], [8, 7], [-12, 3], [18, 8], [-4, 12], [-31, -6], [20, -1], [-22, -6], [-18, -12], [-1, -17], [-30, -3], [7, 4], [25, 9], [-18, 4], [24, 0], [-1, -9], [-8, -4], [-4, 17], [-33, 2], [30, 4], [38, -2], [20, -12], [-40, 6], [22, -6], [0, -10], [12, -11], [22, 0], [35, -9], [-6, 9], [16, -8], [-11, -1], [-3, -2], [-19, -11], [8, -12], [2, -11], [22, 4], [-15, 14], [-34, 10], [-4, -4], [6, -1], [-8, 19], [13, 17], [-7, 4], [-20, -5], [-3, 4], [-32, 0], [-8, 12], [-16, 4], [-30, 10], [-21, -4], [6, -8], [-3, 9], [4, 14], [16, 3], [20, 2], [50, -3], [2, 2], [33, -2], [24, 5], [5, 11], [-14, 0], [-10, 9], [-29, 10], [-50, -5], [9, -18], [2, 0], [16, 1], [24, 3], [22, -2], [14, 16], [-36, -8], [-17, -3], [-35, 12], [-13, 7], [0, 16], [24, 0], [-60, -2], [32, 4], [39, 4], [-13, 9], [18, 4], [-4, 21], [-25, 0], [38, 3], [24, 4], [-10, 8], [19, 10], [16, 3], [-66, -1], [-45, 0], [-5, -11], [30, 13], [-10, 8], [12, 4], [-30, -16], [14, -11], [14, 15], [5, 24], [10, -13], [-10, 22], [4, 4], [-33, -9], [2, 10], [-29, -10], [24, 13], [-5, 11], [-21, -7], [15, 21], [52, 8], [8, 2], [-1, -8], [0, -4], [-32, -16], [-40, -14], [-4, -20], [6, 6], [18, -2], [-20, -8], [30, -9], [-37, -13], [0, -14], [-46, -7], [-4, -12], [-2, -24], [-36, -9], [-3, -20], [-2, 19], [-4, 0], [-22, 9], [-10, -15], [22, -9], [16, -22], [28, -14], [39, -16], [13, 12], [-2, 2], [-2, -12], [-19, -14], [-19, -21], [-16, 2], [50, 9], [40, 1], [-27, 11], [19, 11], [18, -20], [-16, 3], [18, -17], [10, 27], [-5, 21], [6, -13], [-10, 24], [0, -8], [-19, 9], [-8, 16], [-14, -7], [-33, -13], [-14, -17], [1, -12], [0, -2], [-12, -24], [20, -21], [-6, -19], [56, 5], [-23, -3], [-5, -4], [-24, -7], [6, 22], [2, -29], [-8, 3], [52, 4], [12, 12], [23, 11], [31, -22], [-51, -9], [1, -20], [-40, 10], [-56, -9], [8, -24], [-36, -4], [-6, -24], [65, -1], [68, 0], [-26, 3], [-23, 11], [-50, -6], [-32, -2], [-36, -15], [-6, 21], [43, 0], [42, -5], [43, 1], [-2, 8], [-13, 0], [9, 11], [-5, -5], [42, 5], [-12, 4], [-6, 4], [-12, 26], [-36, 17], [60, -8], [40, 0], [-21, -9], [15, 10], [48, 16], [5, 10], [52, 9], [41, 8], [-59, -12], [-36, 3], [45, 15], [29, 16], [46, -14], [37, 10], [-37, -11], [-18, -1], [-13, 30], [-2, -7], [11, 12], [24, -4], [64, 0], [-42, 7], [-6, -20], [59, 9], [-46, 2], [-18, -12], [63, -7], [50, -8], [2, 1], [9, -7], [12, -23], [17, -21], [23, 8], [-4, 25], [82, -2], [-28, -17], [-1, -1], [22, -32], [12, 17], [-4, 5], [26, 26], [-45, 2], [-66, 4], [20, 5], [-66, -8], [30, 24], [-62, -9], [20, -22], [63, 6], [-24, 27], [14, 3], [-40, -4], [-21, 5], [12, -10], [37, -14], [-26, -11], [-7, -25], [23, 20], [3, -6], [-33, -21], [65, -7], [-3, 37], [52, -7], [4, -19], [-16, -10], [-16, -6], [-66, -8], [-42, -7], [19, 16], [-16, 0], [24, -6], [16, 0], [40, 15], [-14, 16], [-16, 21], [52, 12], [-29, 19], [18, -28], [6, 11], [12, 12], [-48, -17], [-10, -3], [-57, 10], [-44, 12], [31, 7], [2, -8], [-66, -6], [43, 10], [16, -16], [6, 0], [-52, -9], [68, 12], [-19, -18], [-55, -19], [18, 17], [-19, -19], [16, 20]], 'char_orbit_index': 1, 'field_poly': [-6, 0, 1], 'hecke_orbit_code': 45035996307260800, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '1408.2.a.k', 'level': 1408, 'maxp': 2999, 'weight': 2}
• 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': [9, 11, 11, 9], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [7, 8, 8, 8], 'ALdims_old': [32, 33, 37, 35], 'Nk2': 5632, 'analytic_conductor': 11.242936604596277, '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': [1408, 1, [639, 133, 1025], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 177, 'dim': 40, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 7], 'hecke_orbit_code': 33555840, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3], 'label': '1408.2.a', 'level': 1408, '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, 11], 'level_radical': 22, 'mf_dim': 208, 'mf_new_dim': 40, 'num_forms': 20, 'plus_dim': 18, 'prim_orbit_index': 1, 'relative_dim': 40, 'sturm_bound': 384, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [40, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 8, 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, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 464, 0, 0, 0, 0, 0, 0, 0, 440, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 400, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -768, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -736, 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: 728301
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 11, 'source_is_minimal': True, 'source_label': '1408.2.a.k', 'source_level': 1408, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': True, 'target_label': '1408.2.a.e', 'target_level': 1408, 'twist_class_label': '1408.2.a.e', 'twist_class_level': 1408, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 728302
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 11, 'source_is_minimal': True, 'source_label': '1408.2.a.k', 'source_level': 1408, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 10, 'target_is_minimal': True, 'target_label': '1408.2.a.j', 'target_level': 1408, 'twist_class_label': '1408.2.a.e', 'twist_class_level': 1408, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 728303
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 11, 'source_is_minimal': True, 'source_label': '1408.2.a.k', 'source_level': 1408, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 11, 'target_is_minimal': True, 'target_label': '1408.2.a.k', 'target_level': 1408, 'twist_class_label': '1408.2.a.e', 'twist_class_level': 1408, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 728304
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 11, 'source_is_minimal': True, 'source_label': '1408.2.a.k', 'source_level': 1408, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 16, 'target_is_minimal': True, 'target_label': '1408.2.a.p', 'target_level': 1408, 'twist_class_label': '1408.2.a.e', 'twist_class_level': 1408, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 728305
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 11, 'source_is_minimal': True, 'source_label': '1408.2.a.k', 'source_level': 1408, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '2816.2.c.q', 'target_level': 2816, 'twist_class_label': '1408.2.a.e', 'twist_class_level': 1408, 'twisting_char_label': '16.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 728306
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 11, 'source_is_minimal': True, 'source_label': '1408.2.a.k', 'source_level': 1408, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '2816.2.c.r', 'target_level': 2816, 'twist_class_label': '1408.2.a.e', 'twist_class_level': 1408, 'twisting_char_label': '16.f', 'twisting_char_orbit': 6, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1926625
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996307260800, 'p': 2}
  • id: 1926626
    {'charpoly_factorization': [[[-5, -2, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 3}
  • id: 1926627
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 45035996307260800, 'p': 5}
  • id: 1926628
    {'charpoly_factorization': [[[-6, 0, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 7}
  • id: 1926629
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 45035996307260800, 'p': 11}
  • id: 1926630
    {'charpoly_factorization': [[[10, 8, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 13}
  • id: 1926631
    {'charpoly_factorization': [[[-2, -4, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 17}
  • id: 1926632
    {'charpoly_factorization': [[[-2, 4, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 19}
  • id: 1926633
    {'charpoly_factorization': [[[3, -6, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 23}
  • id: 1926634
    {'charpoly_factorization': [[[-96, 0, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 29}
  • id: 1926635
    {'charpoly_factorization': [[[-5, -2, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 31}
  • id: 1926636
    {'charpoly_factorization': [[[-5, 1], 2]], 'hecke_orbit_code': 45035996307260800, 'p': 37}
  • id: 1926637
    {'charpoly_factorization': [[[-6, 0, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 41}
  • id: 1926638
    {'charpoly_factorization': [[[12, 12, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 43}
  • id: 1926639
    {'charpoly_factorization': [[[-8, -8, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 47}
  • id: 1926640
    {'charpoly_factorization': [[[-8, 8, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 53}
  • id: 1926641
    {'charpoly_factorization': [[[19, -10, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 59}
  • id: 1926642
    {'charpoly_factorization': [[[8, 1], 2]], 'hecke_orbit_code': 45035996307260800, 'p': 61}
  • id: 1926643
    {'charpoly_factorization': [[[-45, -6, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 67}
  • id: 1926644
    {'charpoly_factorization': [[[-141, 6, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 71}
  • id: 1926645
    {'charpoly_factorization': [[[-6, 0, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 73}
  • id: 1926646
    {'charpoly_factorization': [[[12, 12, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 79}
  • id: 1926647
    {'charpoly_factorization': [[[12, -12, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 83}
  • id: 1926648
    {'charpoly_factorization': [[[57, 18, 1], 1]], 'hecke_orbit_code': 45035996307260800, 'p': 89}
  • id: 1926649
    {'charpoly_factorization': [[[-3, 1], 2]], 'hecke_orbit_code': 45035996307260800, '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': 11, 'label': '1408.2.a.k', 'level': 1408, 'portrait': 'data:image/png;base64,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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: 54158047
    {'hecke_orbit_code': 45035996307260800, 'n': 1, 'trace_an': 2}
  • id: 54158048
    {'hecke_orbit_code': 45035996307260800, 'n': 2, 'trace_an': 0}
  • id: 54158049
    {'hecke_orbit_code': 45035996307260800, 'n': 3, 'trace_an': 2}
  • id: 54158050
    {'hecke_orbit_code': 45035996307260800, 'n': 4, 'trace_an': 0}
  • id: 54158051
    {'hecke_orbit_code': 45035996307260800, 'n': 5, 'trace_an': -6}
  • id: 54158052
    {'hecke_orbit_code': 45035996307260800, 'n': 6, 'trace_an': 0}
  • id: 54158053
    {'hecke_orbit_code': 45035996307260800, 'n': 7, 'trace_an': 0}
  • id: 54158054
    {'hecke_orbit_code': 45035996307260800, 'n': 8, 'trace_an': 0}
  • id: 54158055
    {'hecke_orbit_code': 45035996307260800, 'n': 9, 'trace_an': 8}
  • id: 54158056
    {'hecke_orbit_code': 45035996307260800, 'n': 10, 'trace_an': 0}
  • id: 54158057
    {'hecke_orbit_code': 45035996307260800, 'n': 11, 'trace_an': -2}
  • id: 54158058
    {'hecke_orbit_code': 45035996307260800, 'n': 12, 'trace_an': 0}
  • id: 54158059
    {'hecke_orbit_code': 45035996307260800, 'n': 13, 'trace_an': -8}
  • id: 54158060
    {'hecke_orbit_code': 45035996307260800, 'n': 14, 'trace_an': 0}
  • id: 54158061
    {'hecke_orbit_code': 45035996307260800, 'n': 15, 'trace_an': -6}
  • id: 54158062
    {'hecke_orbit_code': 45035996307260800, 'n': 16, 'trace_an': 0}
  • id: 54158063
    {'hecke_orbit_code': 45035996307260800, 'n': 17, 'trace_an': 4}
  • id: 54158064
    {'hecke_orbit_code': 45035996307260800, 'n': 18, 'trace_an': 0}
  • id: 54158065
    {'hecke_orbit_code': 45035996307260800, 'n': 19, 'trace_an': -4}
  • id: 54158066
    {'hecke_orbit_code': 45035996307260800, 'n': 20, 'trace_an': 0}
  • id: 54158067
    {'hecke_orbit_code': 45035996307260800, 'n': 21, 'trace_an': 12}
  • id: 54158068
    {'hecke_orbit_code': 45035996307260800, 'n': 22, 'trace_an': 0}
  • id: 54158069
    {'hecke_orbit_code': 45035996307260800, 'n': 23, 'trace_an': 6}
  • id: 54158070
    {'hecke_orbit_code': 45035996307260800, 'n': 24, 'trace_an': 0}
  • id: 54158071
    {'hecke_orbit_code': 45035996307260800, 'n': 25, 'trace_an': 8}
  • id: 54158072
    {'hecke_orbit_code': 45035996307260800, 'n': 26, 'trace_an': 0}
  • id: 54158073
    {'hecke_orbit_code': 45035996307260800, 'n': 27, 'trace_an': 26}
  • id: 54158074
    {'hecke_orbit_code': 45035996307260800, 'n': 28, 'trace_an': 0}
  • id: 54158075
    {'hecke_orbit_code': 45035996307260800, 'n': 29, 'trace_an': 0}
  • id: 54158076
    {'hecke_orbit_code': 45035996307260800, 'n': 30, 'trace_an': 0}
  • id: 54158077
    {'hecke_orbit_code': 45035996307260800, 'n': 31, 'trace_an': 2}
  • id: 54158078
    {'hecke_orbit_code': 45035996307260800, 'n': 32, 'trace_an': 0}
  • id: 54158079
    {'hecke_orbit_code': 45035996307260800, 'n': 33, 'trace_an': -2}
  • id: 54158080
    {'hecke_orbit_code': 45035996307260800, 'n': 34, 'trace_an': 0}
  • id: 54158081
    {'hecke_orbit_code': 45035996307260800, 'n': 35, 'trace_an': 0}
  • id: 54158082
    {'hecke_orbit_code': 45035996307260800, 'n': 36, 'trace_an': 0}
  • id: 54158083
    {'hecke_orbit_code': 45035996307260800, 'n': 37, 'trace_an': 10}
  • id: 54158084
    {'hecke_orbit_code': 45035996307260800, 'n': 38, 'trace_an': 0}
  • id: 54158085
    {'hecke_orbit_code': 45035996307260800, 'n': 39, 'trace_an': 4}
  • id: 54158086
    {'hecke_orbit_code': 45035996307260800, 'n': 40, 'trace_an': 0}
  • id: 54158087
    {'hecke_orbit_code': 45035996307260800, 'n': 41, 'trace_an': 0}
  • id: 54158088
    {'hecke_orbit_code': 45035996307260800, 'n': 42, 'trace_an': 0}
  • id: 54158089
    {'hecke_orbit_code': 45035996307260800, 'n': 43, 'trace_an': -12}
  • id: 54158090
    {'hecke_orbit_code': 45035996307260800, 'n': 44, 'trace_an': 0}
  • id: 54158091
    {'hecke_orbit_code': 45035996307260800, 'n': 45, 'trace_an': -24}
  • id: 54158092
    {'hecke_orbit_code': 45035996307260800, 'n': 46, 'trace_an': 0}
  • id: 54158093
    {'hecke_orbit_code': 45035996307260800, 'n': 47, 'trace_an': 8}
  • id: 54158094
    {'hecke_orbit_code': 45035996307260800, 'n': 48, 'trace_an': 0}
  • id: 54158095
    {'hecke_orbit_code': 45035996307260800, 'n': 49, 'trace_an': -2}
  • id: 54158096
    {'hecke_orbit_code': 45035996307260800, 'n': 50, 'trace_an': 0}
  • id: 54158097
    {'hecke_orbit_code': 45035996307260800, 'n': 51, 'trace_an': 16}
  • id: 54158098
    {'hecke_orbit_code': 45035996307260800, 'n': 52, 'trace_an': 0}
  • id: 54158099
    {'hecke_orbit_code': 45035996307260800, 'n': 53, 'trace_an': -8}
  • id: 54158100
    {'hecke_orbit_code': 45035996307260800, 'n': 54, 'trace_an': 0}
  • id: 54158101
    {'hecke_orbit_code': 45035996307260800, 'n': 55, 'trace_an': 6}
  • id: 54158102
    {'hecke_orbit_code': 45035996307260800, 'n': 56, 'trace_an': 0}
  • id: 54158103
    {'hecke_orbit_code': 45035996307260800, 'n': 57, 'trace_an': -16}
  • id: 54158104
    {'hecke_orbit_code': 45035996307260800, 'n': 58, 'trace_an': 0}
  • id: 54158105
    {'hecke_orbit_code': 45035996307260800, 'n': 59, 'trace_an': 10}
  • id: 54158106
    {'hecke_orbit_code': 45035996307260800, 'n': 60, 'trace_an': 0}
  • id: 54158107
    {'hecke_orbit_code': 45035996307260800, 'n': 61, 'trace_an': -16}
  • id: 54158108
    {'hecke_orbit_code': 45035996307260800, 'n': 62, 'trace_an': 0}
  • id: 54158109
    {'hecke_orbit_code': 45035996307260800, 'n': 63, 'trace_an': 24}
  • id: 54158110
    {'hecke_orbit_code': 45035996307260800, 'n': 64, 'trace_an': 0}
  • id: 54158111
    {'hecke_orbit_code': 45035996307260800, 'n': 65, 'trace_an': 24}
  • id: 54158112
    {'hecke_orbit_code': 45035996307260800, 'n': 66, 'trace_an': 0}
  • id: 54158113
    {'hecke_orbit_code': 45035996307260800, 'n': 67, 'trace_an': 6}
  • id: 54158114
    {'hecke_orbit_code': 45035996307260800, 'n': 68, 'trace_an': 0}
  • id: 54158115
    {'hecke_orbit_code': 45035996307260800, 'n': 69, 'trace_an': 18}
  • id: 54158116
    {'hecke_orbit_code': 45035996307260800, 'n': 70, 'trace_an': 0}
  • id: 54158117
    {'hecke_orbit_code': 45035996307260800, 'n': 71, 'trace_an': -6}
  • id: 54158118
    {'hecke_orbit_code': 45035996307260800, 'n': 72, 'trace_an': 0}
  • id: 54158119
    {'hecke_orbit_code': 45035996307260800, 'n': 73, 'trace_an': 0}
  • id: 54158120
    {'hecke_orbit_code': 45035996307260800, 'n': 74, 'trace_an': 0}
  • id: 54158121
    {'hecke_orbit_code': 45035996307260800, 'n': 75, 'trace_an': 8}
  • id: 54158122
    {'hecke_orbit_code': 45035996307260800, 'n': 76, 'trace_an': 0}
  • id: 54158123
    {'hecke_orbit_code': 45035996307260800, 'n': 77, 'trace_an': 0}
  • id: 54158124
    {'hecke_orbit_code': 45035996307260800, 'n': 78, 'trace_an': 0}
  • id: 54158125
    {'hecke_orbit_code': 45035996307260800, 'n': 79, 'trace_an': -12}
  • id: 54158126
    {'hecke_orbit_code': 45035996307260800, 'n': 80, 'trace_an': 0}
  • id: 54158127
    {'hecke_orbit_code': 45035996307260800, 'n': 81, 'trace_an': 38}
  • id: 54158128
    {'hecke_orbit_code': 45035996307260800, 'n': 82, 'trace_an': 0}
  • id: 54158129
    {'hecke_orbit_code': 45035996307260800, 'n': 83, 'trace_an': 12}
  • id: 54158130
    {'hecke_orbit_code': 45035996307260800, 'n': 84, 'trace_an': 0}
  • id: 54158131
    {'hecke_orbit_code': 45035996307260800, 'n': 85, 'trace_an': -12}
  • id: 54158132
    {'hecke_orbit_code': 45035996307260800, 'n': 86, 'trace_an': 0}
  • id: 54158133
    {'hecke_orbit_code': 45035996307260800, 'n': 87, 'trace_an': 48}
  • id: 54158134
    {'hecke_orbit_code': 45035996307260800, 'n': 88, 'trace_an': 0}
  • id: 54158135
    {'hecke_orbit_code': 45035996307260800, 'n': 89, 'trace_an': -18}
  • id: 54158136
    {'hecke_orbit_code': 45035996307260800, 'n': 90, 'trace_an': 0}
  • id: 54158137
    {'hecke_orbit_code': 45035996307260800, 'n': 91, 'trace_an': 12}
  • id: 54158138
    {'hecke_orbit_code': 45035996307260800, 'n': 92, 'trace_an': 0}
  • id: 54158139
    {'hecke_orbit_code': 45035996307260800, 'n': 93, 'trace_an': -10}
  • id: 54158140
    {'hecke_orbit_code': 45035996307260800, 'n': 94, 'trace_an': 0}
  • id: 54158141
    {'hecke_orbit_code': 45035996307260800, 'n': 95, 'trace_an': 12}
  • id: 54158142
    {'hecke_orbit_code': 45035996307260800, 'n': 96, 'trace_an': 0}
  • id: 54158143
    {'hecke_orbit_code': 45035996307260800, 'n': 97, 'trace_an': 6}
  • id: 54158144
    {'hecke_orbit_code': 45035996307260800, 'n': 98, 'trace_an': 0}
  • id: 54158145
    {'hecke_orbit_code': 45035996307260800, 'n': 99, 'trace_an': -8}
  • id: 54158146
    {'hecke_orbit_code': 45035996307260800, 'n': 100, 'trace_an': 0}