Newform data - 1140.2.bg.b

Formats: - HTML - YAML - JSON - 2026-10-09T05:41:08.742063

• 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': 4560, 'analytic_conductor': 9.102945830425965, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 95, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 33, 'char_orbit_label': 'bg', 'char_order': 6, 'char_parity': 1, 'char_values': [1140, 6, [571, 761, 457, 781], [6, 6, 3, 4]], 'cm_discs': [], 'conrey_index': 49, 'dim': 4, 'field_disc': 144, 'field_disc_factorization': [[2, 4], [3, 2]], 'field_poly': [1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 12, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [0, 1]], [11, [-5, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4505798684181620, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0], [1, 1, 95, 9, 1, 6, 0], [1, 1, 19, 3, 1, 3, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1140.2.bg.b', 'level': 1140, '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, 5, 19], 'level_radical': 570, 'minimal_twist': '1140.2.bg.b', 'nf_label': '4.0.144.1', 'prim_orbit_index': 9, 'qexp_display': 'q+(\\zeta_{12}-\\zeta_{12}^{3})q^{3}+(-2\\zeta_{12}+\\zeta_{12}^{2}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1140.2.bg', 'trace_display': [0, 0, 2, 0], 'trace_hash': 1456273251020990258, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '3.755', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '84.309', 'prec': 17}, 0, {'__RealLiteral__': 0, 'data': '2972.059', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.510', 'prec': 10}, 'traces': [4, 0, 0, 0, 2, 0, 0, 0, 2, 0, 20, 0, 0, 0, -4, 0, 0, 0, -14, 0, 0, 0, 0, 0, 6, 0, 0, 0, 2, 0, 12, 0, 0, 0, 0, 0, 0, 0, 8, 0, 12, 0, 0, 0, 4, 0, 0, 0, 28, 0, -12, 0, 0, 0, 10, 0, 0, 0, 22, 0, 6, 0, 0, 0, -16, 0, 0, 0, 24, 0, 18, 0, 0, 0, -16, 0, 0, 0, -10, 0, -2, 0, 0, 0, 24, 0, 0, 0, 2, 0, 0, 0, 0, 0, -16, 0, 0, 0, 10, 0, 18, 0, 0, 0, 0, 0, 0, 0, -10, 0, 4, 0, 0, 0, -48, 0, 0, 0, 0, 0, 56, 0, 0, 0, 44, 0, 0, 0, -12, 0, -8, 0, 0, 0, 4, 0, 0, 0, -24, 0, 24, 0, 0, 0, 4, 0, 0, 0, -18, 0, -20, 0, 0, 0, 6, 0, 0, 0, 16, 0, 0, 0, 0, 0, -20, 0, 0, 0, -18, 0, 2, 0, 0, 0, 0, 0, 0, 0, -84, 0, -4, 0, 0, 0, -8, 0, 0, 0, 0, 0, -84, 0, 0, 0, 4, 0, 0, 0, 46, 0, -8, 0, 0, 0, -12, 0, 0, 0, -70, 0, -38, 0, 0, 0, 24, 0, 0, 0, -4, 0, -48, 0, 0, 0, -6, 0, 0, 0, -20, 0, 0, 0, 0, 0, -48, 0, 0, 0, -76, 0, -34, 0, 0, 0, 14, 0, 0, 0, -12, 0, -30, 0, 0, 0, -24, 0, 0, 0, 0, 0, -2, 0, 0, 0, -32, 0, 0, 0, 38, 0, -34, 0, 0, 0, 30, 0, 0, 0, 6, 0, 60, 0, 0, 0, -4, 0, 0, 0, 38, 0, -20, 0, 0, 0, -22, 0, 0, 0, 24, 0, 0, 0, 0, 0, 12, 0, 0, 0, -16, 0, 96, 0, 0, 0, 0, 0, 0, 0, 10, 0, -20, 0, 0, 0, -16, 0, 0, 0, 0, 0, -112, 0, 0, 0, 16, 0, 0, 0, 8, 0, 60, 0, 0, 0, 12, 0, 0, 0, 104, 0, 4, 0, 0, 0, -18, 0, 0, 0, 8, 0, 22, 0, 0, 0, 8, 0, 0, 0, 24, 0, 0, 0, 0, 0, 4, 0, 0, 0, 108, 0, -56, 0, 0, 0, 0, 0, 0, 0, -50, 0, -144, 0, 0, 0, 10, 0, 0, 0, 0, 0, -62, 0, 0, 0, 2, 0, 0, 0, 22, 0, 0, 0, 0, 0, 24, 0, 0, 0, -140, 0, 70, 0, 0, 0, 96, 0, 0, 0, 40, 0, -6, 0, 0, 0, 4, 0, 0, 0, -46, 0, 14, 0, 0, 0, 4, 0, 0, 0, -76, 0, 60, 0, 0, 0, 0, 0, 0, 0, 12, 0, -30, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 34, 0, -8, 0, 0, 0, 40, 0, 0, 0, 8, 0, 66, 0, 0, 0, 20, 0, 0, 0, 40, 0, 0, 0, 0, 0, 36, 0, 0, 0, -60, 0, 0, 0, 0, 0, 32, 0, 0, 0, 40, 0, 108, 0, 0, 0, 0, 0, 0, 0, 26, 0, 44, 0, 0, 0, 40, 0, 0, 0, 140, 0, -22, 0, 0, 0, 10, 0, 0, 0, -6, 0, 2, 0, 0, 0, -4, 0, 0, 0, -48, 0, -60, 0, 0, 0, -16, 0, 0, 0, -44, 0, 76, 0, 0, 0, -48, 0, 0, 0, 8, 0, 0, 0, 0, 0, -8, 0, 0, 0, -42, 0, -44, 0, 0, 0, 0, 0, 0, 0, 24, 0, -60, 0, 0, 0, 28, 0, 0, 0, 0, 0, 24, 0, 0, 0, -48, 0, 0, 0, 112, 0, 12, 0, 0, 0, 14, 0, 0, 0, -24, 0, 58, 0, 0, 0, 112, 0, 0, 0, 36, 0, -66, 0, 0, 0, -24, 0, 0, 0, 110, 0, 0, 0, 0, 0, 8, 0, 0, 0, -88, 0, -26, 0, 0, 0, 0, 0, 0, 0, 52, 0, 30, 0, 0, 0, -8, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 16, 0, 116, 0, 0, 0, -48, 0, 0, 0, 56, 0, 68, 0, 0, 0, 12, 0, 0, 0, 74, 0, -20, 0, 0, 0, -80, 0, 0, 0, 42, 0, 0, 0, 0, 0, -6, 0, 0, 0, -4, 0, 72, 0, 0, 0, -28, 0, 0, 0, 58, 0, -28, 0, 0, 0, 18, 0, 0, 0, 0, 0, 106, 0, 0, 0, -10, 0, 0, 0, 120, 0, -72, 0, 0, 0, -24, 0, 0, 0, -38, 0, 104, 0, 0, 0, 18, 0, 0, 0, -96, 0, 90, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 8, 0, 0, 0, -144, 0, -2, 0, 0, 0, 0, 0, 0, 0, -68, 0, -94, 0, 0, 0, -16, 0, 0, 0, 0, 0, 86, 0, 0, 0, -80, 0, 0, 0, -104, 0, -40, 0, 0, 0, 0, 0, 0, 0, -32, 0, 56, 0, 0, 0, 18, 0, 0, 0, 4, 0, -24, 0, 0, 0, -14, 0, 0, 0, 46, 0, 0, 0, 0, 0, -80, 0, 0, 0, -50, 0, -8, 0, 0, 0, 0, 0, 0, 0, 56, 0, -60, 0, 0, 0, -88, 0, 0, 0, 0, 0, -10, 0, 0, 0, -42, 0, 0, 0, 6, 0, -96, 0, 0, 0, -8, 0, 0, 0, -18, 0, -36, 0, 0, 0, 12, 0, 0, 0, -160, 0, -24, 0, 0, 0, 16, 0, 0, 0, 78, 0, -98, 0, 0, 0, 120, 0, 0, 0, -104, 0, -38, 0, 0, 0, 0, 0, 0, 0, -16, 0, -72, 0, 0, 0, -42, 0, 0, 0, 0, 0, -88, 0, 0, 0, -16, 0, 0, 0, -12, 0, 56, 0, 0, 0, 12, 0, 0, 0, 10, 0, -20, 0, 0, 0, 88, 0, 0, 0, -144, 0, 72, 0, 0, 0, 92, 0, 0, 0, 8, 0, 0, 0, 0, 0, -4, 0, 0, 0, -118, 0, 12, 0, 0, 0, 0, 0, 0, 0, -100, 0, -116, 0, 0, 0, 72, 0, 0, 0, 0, 0, -86, 0, 0, 0, -24, 0, 0, 0, 56, 0, -32, 0, 0, 0, -80, 0, 0, 0, -44, 0, 70, 0, 0, 0, 38, 0, 0, 0, -8, 0, 60, 0, 0, 0, -72, 0, 0, 0, 52, 0, 0, 0, 0, 0, 96, 0, 0, 0, 24, 0, 72, 0, 0, 0, 0, 0, 0, 0, 28, 0, 20, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, -180, 0, 90, 0, 0, 0, -104, 0, 0, 0, -24, 0, -176, 0, 0, 0, 22, 0, 0, 0, -24, 0, 4, 0, 0, 0, -72, 0, 0, 0, 48, 0, 0, 0, 0, 0, -10, 0, 0, 0, -12, 0, 228, 0, 0, 0, 0, 0, 0, 0, 6, 0, 12, 0, 0, 0, -112, 0, 0, 0, 0, 0, -148, 0, 0, 0, -48, 0, 0, 0, -16, 0, 30, 0, 0, 0, 40, 0, 0, 0, 24, 0, 48, 0, 0, 0, -38, 0, 0, 0, -50, 0, 108, 0, 0, 0, -68, 0, 0, 0, 24, 0, 0, 0, 0, 0, 8, 0, 0, 0, 48, 0, 20, 0, 0, 0, 42, 0, 0, 0, -36, 0, -90, 0, 0, 0, 56, 0, 0, 0, 0, 0, 24, 0, 0, 0, 12, 0, 0, 0, -36, 0, 24, 0, 0, 0, -60, 0, 0, 0, 24, 0, -80, 0, 0, 0, -240, 0, 0, 0, 12, 0, 36, 0, 0, 0, 36, 0, 0, 0, 18, 0, 0, 0, 0, 0, -208, 0, 0, 0, 42, 0, -112, 0, 0, 0, 0, 0, 0, 0, 96, 0, 78, 0, 0, 0, 2, 0, 0, 0, 0, 0, -84, 0, 0, 0, -80, 0, 0, 0, -160, 0, 44, 0, 0, 0, -32, 0, 0, 0, -48, 0, 60, 0, 0, 0, 4, 0, 0, 0, 32, 0, -36, 0, 0, 0, -38, 0, 0, 0, -144, 0, 0, 0, 0, 0, 34, 0, 0, 0, -10, 0, -72, 0, 0, 0, 0, 0, 0, 0, 132, 0, -76, 0, 0, 0, 220, 0, 0, 0, 0, 0, -106, 0, 0, 0, 80, 0, 0, 0, 64, 0, 40, 0, 0, 0, 12, 0, 0, 0, 160, 0, -36, 0, 0, 0, 120, 0, 0, 0, 82, 0, 72, 0, 0, 0, -8, 0, 0, 0, -60, 0, 14, 0, 0, 0, 56, 0, 0, 0, 20, 0, 8, 0, 0, 0, 0, 0, 0, 0, 80, 0, -40, 0, 0, 0, 76, 0, 0, 0, 0, 0, -12, 0, 0, 0, -40, 0, 0, 0, 82, 0, 84, 0, 0, 0, -112, 0, 0, 0, -16, 0, -76, 0, 0, 0, 132, 0, 0, 0, 12, 0, 168, 0, 0, 0, 20, 0, 0, 0, 164, 0, 0, 0, 0, 0, -24, 0, 0, 0, -30, 0, 80, 0, 0, 0, 0, 0, 0, 0, 40, 0, -26, 0, 0, 0, 36, 0, 0, 0, 84, 0, -36, 0, 0, 0, -18, 0, 0, 0, -120, 0, 32, 0, 0, 0, 48, 0, 0, 0, 16, 0, -24, 0, 0, 0, 16, 0, 0, 0, 44, 0, 120, 0, 0, 0, 48, 0, 0, 0, -48, 0, 0, 0, 0, 0, 208, 0, 0, 0, -96, 0, -88, 0, 0, 0, 0, 0, 0, 0, -62, 0, -36, 0, 0, 0, 144, 0, 0, 0, 0, 0, -24, 0, 0, 0, 20, 0, 0, 0, 24, 0, -54, 0, 0, 0, 20, 0, 0, 0, 116, 0, -42, 0, 0, 0, 24, 0, 0, 0, -18, 0, -14, 0, 0, 0, -8, 0, 0, 0, 4, 0, 0, 0, 0, 0, 40, 0, 0, 0, -90, 0, 168, 0, 0, 0, 0, 0, 0, 0, 120, 0, -56, 0, 0, 0, -56, 0, 0, 0, 0, 0, -100, 0, 0, 0, -16, 0, 0, 0, 98, 0, 24, 0, 0, 0, 16, 0, 0, 0, -48, 0, 10, 0, 0, 0, -24, 0, 0, 0, 0, 0, 2, 0, 0, 0, -8, 0, 0, 0, -76, 0, 0, 0, 0, 0, 30, 0, 0, 0, 300, 0, 44, 0, 0, 0, 0, 0, 0, 0, -42, 0, 108, 0, 0, 0, 36, 0, 0, 0, 0, 0, -76, 0, 0, 0, 64, 0, 0, 0, -24, 0, 168, 0, 0, 0, 52, 0, 0, 0, 80, 0, 96, 0, 0, 0, 8, 0, 0, 0, -52, 0, -56, 0, 0, 0, 16, 0, 0, 0, -6, 0, 0, 0, 0, 0, 108, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68, 0, -46, 0, 0, 0, -8, 0, 0, 0, 0, 0, 76, 0, 0, 0, 74, 0, 0, 0, -4, 0, -6, 0, 0, 0, -56, 0, 0, 0, 120, 0, 84, 0, 0, 0, 32, 0, 0, 0, 66, 0, 196, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 12, 0, 0, 0, -14, 0, 168, 0, 0, 0, 0, 0, 0, 0, -90, 0, -152, 0, 0, 0, 48, 0, 0, 0, 0, 0, -48, 0, 0, 0, -48, 0, 0, 0, -6, 0, 10, 0, 0, 0, -8, 0, 0, 0, 132, 0, 18, 0, 0, 0, 54, 0, 0, 0, -76, 0, -140, 0, 0, 0, -28, 0, 0, 0, 72, 0, 56, 0, 0, 0, 24, 0, 0, 0, 18, 0, -48, 0, 0, 0, 0, 0, 0, 0, 4, 0, 20, 0, 0, 0, -24, 0, 0, 0, 0, 0, -60, 0, 0, 0, -100, 0, 0, 0, 196, 0, -16, 0, 0, 0, -72, 0, 0, 0, 60, 0, -16, 0, 0, 0, 32, 0, 0, 0, -420, 0, 4, 0, 0, 0, -60, 0, 0, 0, 120, 0, 0, 0, 0, 0, -96, 0, 0, 0, -24, 0, -20, 0, 0, 0, 0, 0, 0, 0, -130, 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], [0, 0, 0, 0], [0, 1, 0, -1], [0, 0, 0, 0], [0, -2, 1, 2], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [1, 0, -1, 0], [0, 0, 0, 0], [5, 0, 0, 0], [0, 0, 0, 0], [0, 2, 0, 0], [0, 0, 0, 0], [-2, 1, 2, 0], [0, 0, 0, 0], [0, -6, 0, 6], [0, 0, 0, 0], [-5, 0, 3, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 6, 0, 0], [0, 0, 0, 0], [3, -4, -3, 0], [0, 0, 0, 0], [0, 0, 0, -1], [0, 0, 0, 0], [1, 0, -1, 0], [0, 0, 0, 0], [3, 0, 0, 0], [0, 0, 0, 0], [0, 5, 0, -5], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 2], [0, 0, 0, 0], [2, 0, 0, 0], [0, 0, 0, 0], [0, 0, 6, 0], [0, 0, 0, 0], [0, -6, 0, 6], [0, 0, 0, 0], [1, 0, 0, 2], [0, 0, 0, 0], [0, 6, 0, 0], [0, 0, 0, 0], [7, 0, 0, 0], [0, 0, 0, 0], [-6, 0, 6, 0], [0, 0, 0, 0], [0, 4, 0, 0], [0, 0, 0, 0], [0, -10, 5, 10], [0, 0, 0, 0], [0, -2, 0, 5], [0, 0, 0, 0], [0, 0, 11, 0], [0, 0, 0, 0], [3, 0, -3, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-4, 0, 0, 2], [0, 0, 0, 0], [0, -2, 0, 0], [0, 0, 0, 0], [6, 0, 0, 0], [0, 0, 0, 0], [0, 0, 9, 0], [0, 0, 0, 0], [0, -2, 0, 2], [0, 0, 0, 0], [-4, 0, 0, -3], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, -5, 0], [0, 0, 0, 0], [0, 0, -1, 0], [0, 0, 0, 0], [0, 0, 0, -6], [0, 0, 0, 0], [12, -6, -12, 0], [0, 0, 0, 0], [0, 0, 0, -1], [0, 0, 0, 0], [1, 0, -1, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 3, 0, -3], [0, 0, 0, 0], [-3, 4, -2, -10], [0, 0, 0, 0], [0, -10, 0, 10], [0, 0, 0, 0], [5, 0, -5, 0], [0, 0, 0, 0]], 'ap': [[0, 0, 0, 0], [0, 1, 0, -1], [0, -2, 1, 2], [0, 0, 0, 0], [5, 0, 0, 0], [0, 2, 0, 0], [0, -6, 0, 6], [-5, 0, 3, 0], [0, 6, 0, 0], [1, 0, -1, 0], [3, 0, 0, 0], [0, 0, 0, 2], [0, 0, 6, 0], [0, -6, 0, 6], [0, 6, 0, 0], [0, 4, 0, 0], [0, 0, 11, 0], [3, 0, -3, 0], [0, -2, 0, 0], [0, 0, 9, 0], [0, -2, 0, 2], [0, 0, -5, 0], [0, 0, 0, -6], [1, 0, -1, 0], [0, -10, 0, 10], [9, 0, -9, 0], [0, 0, 0, -8], [0, 0, 0, -10], [0, 0, -5, 0], [0, 0, 0, 4], [0, -14, 0, 0], [0, 0, -4, 0], [0, 0, 0, 0], [-12, 0, 12, 0], [0, 0, -9, 0], [-5, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 4], [0, 0, 0, 0], [0, 20, 0, -20], [-21, 0, 0, 0], [-2, 0, 2, 0], [-21, 0, 0, 0], [0, 4, 0, -4], [0, 0, 0, -22], [23, 0, -23, 0], [0, 0, -19, 0], [0, 26, 0, -26], [0, 0, 0, 18], [-5, 0, 0, 0], [0, 28, 0, -28], [-19, 0, 0, 0], [-17, 0, 17, 0], [-15, 0, 15, 0], [0, 26, 0, 0], [0, 20, 0, -20], [0, 0, 19, 0], [0, 0, -17, 0], [0, 0, 0, -20], [30, 0, -30, 0], [0, 2, 0, -2], [0, 0, 0, 28], [0, -12, 0, 12], [24, 0, 0, 0], [0, -26, 0, 0], [0, -18, 0, 0], [-28, 0, 0, 0], [0, 6, 0, -6], [0, -16, 0, 16], [26, 0, 0, 0], [0, 0, 0, -4], [0, 0, 4, 0], [0, 0, 0, 0], [0, 0, 0, -12], [27, 0, 0, 0], [0, -6, 0, 6], [-25, 0, 25, 0], [0, 24, 0, -24], [0, 0, -31, 0], [11, 0, -11, 0], [-35, 0, 0, 0], [0, 0, 35, 0], [-3, 0, 3, 0], [0, 24, 0, 0], [0, 0, -23, 0], [0, -12, 0, 0], [-19, 0, 0, 0], [0, 0, 0, -38], [0, 0, -15, 0], [0, 0, 0, 32], [0, 0, 0, -18], [17, 0, -17, 0], [0, 0, 0, 42], [0, 0, 33, 0], [0, 0, 20, 0], [0, 10, 0, 0], [-30, 0, 30, 0], [27, 0, 0, 0], [0, -24, 0, 0], [-11, 0, 11, 0], [0, 42, 0, 0], [0, 6, 0, 0], [0, 0, 0, 0], [-11, 0, 0, 0], [19, 0, 0, 0], [0, 0, 0, -38], [0, -28, 0, 28], [0, -4, 0, 0], [12, 0, -12, 0], [-15, 0, 0, 0], [0, 0, 0, 42], [0, 16, 0, -16], [0, 42, 0, 0], [28, 0, 0, 0], [29, 0, -29, 0], [0, 0, -33, 0], [0, 2, 0, -2], [0, 0, 0, -30], [0, 0, 0, 30], [-44, 0, 44, 0], [-13, 0, 13, 0], [0, 0, 0, -44], [0, 0, 0, -36], [0, 0, 0, -18], [29, 0, 0, 0], [0, 0, 34, 0], [37, 0, -37, 0], [0, 0, 21, 0], [0, 8, 0, -8], [0, 0, 0, 14], [0, 0, 29, 0], [0, 2, 0, -2], [53, 0, -53, 0], [0, -2, 0, 2], [-18, 0, 0, 0], [-19, 0, 19, 0], [0, -38, 0, 0], [0, 0, 0, 18], [0, 0, 0, 0], [-17, 0, 0, 0], [-47, 0, 47, 0], [43, 0, -43, 0], [0, 54, 0, 0], [0, 6, 0, 0], [-26, 0, 0, 0], [0, 0, -16, 0], [0, 32, 0, -32], [0, -18, 0, 18], [23, 0, -23, 0], [0, 0, 0, -36], [0, 26, 0, -26], [-15, 0, 0, 0], [0, -8, 0, 0], [0, 0, 0, 0], [0, -12, 0, 12], [-9, 0, 0, 0], [-40, 0, 0, 0], [0, 0, 39, 0], [0, -16, 0, 0], [-19, 0, 19, 0], [0, 34, 0, -34], [0, -24, 0, 24], [0, 22, 0, -22], [0, 0, 28, 0], [0, 0, 0, -8], [0, -32, 0, 32], [0, 0, 36, 0], [0, 14, 0, 0], [0, 0, -59, 0], [0, -14, 0, 0], [-25, 0, 0, 0], [0, 0, -58, 0], [0, 0, -43, 0], [0, 0, 0, 34], [28, 0, -28, 0], [-22, 0, 22, 0], [35, 0, -35, 0], [0, 0, 30, 0], [0, 0, 0, -14], [0, 0, 26, 0], [0, 38, 0, 0], [5, 0, 0, 0], [0, -14, 0, 0], [0, 64, 0, -64], [0, 0, 0, 2], [-45, 0, 0, 0], [0, 40, 0, 0], [0, -56, 0, 56], [-6, 0, 0, 0], [57, 0, 0, 0], [0, -56, 0, 0], [0, -32, 0, 0], [-37, 0, 0, 0], [0, 0, 15, 0], [0, 44, 0, 0], [0, -14, 0, 0], [54, 0, -54, 0], [0, -62, 0, 62], [0, 0, 0, -48], [0, 0, 0, 0], [-18, 0, 18, 0], [-45, 0, 45, 0], [0, -16, 0, 16], [0, 0, -18, 0], [0, 0, 12, 0], [0, 22, 0, 0], [9, 0, -9, 0], [0, -4, 0, 0], [0, 0, 21, 0], [-28, 0, 0, 0], [0, 20, 0, -20], [39, 0, -39, 0], [0, 0, 0, 22], [0, 42, 0, 0], [-40, 0, 0, 0], [22, 0, -22, 0], [0, 52, 0, -52], [-18, 0, 0, 0], [0, 0, 0, -56], [0, -12, 0, 12], [-53, 0, 53, 0], [40, 0, 0, 0], [0, 0, 41, 0], [0, -16, 0, 16], [0, -52, 0, 52], [10, 0, -10, 0], [0, 0, 0, 16], [0, 0, 40, 0], [0, -58, 0, 58], [-3, 0, 0, 0], [0, -50, 0, 0], [41, 0, -41, 0], [-19, 0, 0, 0], [42, 0, 0, 0], [0, 0, 0, -44], [0, -28, 0, 28], [41, 0, 0, 0], [0, 0, 0, -42], [0, 0, -15, 0], [-13, 0, 13, 0], [0, -52, 0, 52], [8, 0, 0, 0], [0, -24, 0, 0], [22, 0, -22, 0], [0, -28, 0, 28], [-12, 0, 0, 0], [0, -48, 0, 0], [-44, 0, 44, 0], [0, 0, -31, 0], [0, 10, 0, 0], [0, 0, 0, -68], [0, 0, -27, 0], [0, 0, 0, -12], [58, 0, -58, 0], [0, 22, 0, -22], [-9, 0, 9, 0], [-7, 0, 7, 0], [0, 0, 0, 52], [0, 36, 0, -36], [0, 32, 0, 0], [0, -16, 0, 0], [0, 24, 0, -24], [0, 0, 49, 0], [0, -34, 0, 34], [0, -22, 0, 0], [-19, 0, 0, 0], [75, 0, 0, 0], [27, 0, 0, 0], [0, -60, 0, 0], [0, 6, 0, 0], [42, 0, 0, 0], [0, 0, 0, 32], [0, 16, 0, -16], [-13, 0, 0, 0], [0, -58, 0, 0], [0, -68, 0, 68], [0, 0, 0, 4], [0, 0, 34, 0], [38, 0, -38, 0], [-3, 0, 3, 0], [0, 0, 0, 60], [49, 0, 0, 0], [0, 48, 0, 0], [-38, 0, 0, 0], [0, -56, 0, 56], [-24, 0, 24, 0], [0, 0, 0, -22], [0, 76, 0, 0], [0, 0, -3, 0], [33, 0, 0, 0], [-35, 0, 0, 0], [0, 0, 0, 68], [0, 74, 0, 0], [5, 0, 0, 0], [0, -86, 0, 86], [49, 0, 0, 0], [-8, 0, 8, 0], [0, -64, 0, 64], [0, 0, 60, 0], [0, 0, 0, -8], [0, -48, 0, 48], [0, 54, 0, -54], [-65, 0, 65, 0]], 'char_orbit_index': 33, 'field_poly': [1, 0, -1, 0, 1], 'hecke_orbit_code': 4505798684181620, 'hecke_ring_character_values': [[571, [1, 0, 0, 0]], [761, [1, 0, 0, 0]], [457, [-1, 0, 0, 0]], [781, [-1, 0, 1, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 4, 'label': '1140.2.bg.b', 'level': 1140, 'maxp': 1999, '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

  
  {'Nk2': 4560, 'analytic_conductor': 9.102945830425965, 'char_conductor': 95, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 33, 'char_orbit_label': 'bg', 'char_order': 6, 'char_parity': 1, 'char_values': [1140, 6, [571, 761, 457, 781], [6, 6, 3, 4]], 'conrey_index': 49, 'cusp_dim': 456, 'dim': 40, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 2199056811124, 'hecke_orbit_dims': [4, 4, 32], 'label': '1140.2.bg', 'level': 1140, '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, 5, 19], 'level_radical': 570, 'mf_dim': 504, 'mf_new_dim': 40, 'num_forms': 3, 'prim_orbit_index': 9, 'relative_dim': 20, 'sturm_bound': 480, 'trace_bound': 5, 'trace_display': [0, 0, -2, 0], 'traces': [40, 0, 0, 0, -2, 0, 0, 0, 20, 0, 0, 0, 0, 0, -2, 0, 0, 0, -16, 0, -4, 0, 0, 0, -12, 0, 0, 0, 8, 0, -8, 0, 0, 0, -2, 0, 0, 0, 8, 0, -4, 0, 0, 0, -4, 0, 0, 0, -32, 0, -8, 0, 0, 0, 12, 0, 0, 0, -48, 0, 0, 0, 0, 0, 4, 0, 0, 0, -40, 0, 16, 0, 0, 0, -8, 0, 0, 0, 24, 0, -20, 0, 0, 0, 48, 0, 0, 0, 32, 0, 4, 0, 0, 0, 26, 0, 0, 0, 0, 0, 24, 0, 0, 0, -22, 0, 0, 0, 48, 0, 8, 0, 0, 0, 88, 0, 0, 0, 116, 0, 80, 0, 0, 0, -68, 0, 0, 0, 20, 0, -40, 0, 0, 0, 2, 0, 0, 0, 48, 0, 48, 0, 0, 0, -72, 0, 0, 0, -12, 0, -32, 0, 0, 0, -22, 0, 0, 0, -24, 0, -4, 0, 0, 0, 4, 0, 0, 0, 24, 0, -8, 0, 0, 0, -16, 0, 0, 0, -168, 0, -36, 0, 0, 0, -38, 0, 0, 0, -8, 0, 8, 0, 0, 0, -46, 0, 0, 0, -56, 0, -40, 0, 0, 0, -28, 0, 0, 0, -140, 0, 20, 0, 0, 0, 10, 0, 0, 0, 24, 0, -40, 0, 0, 0, 12, 0, 0, 0, -136, 0, -36, 0, 0, 0, 8, 0, 0, 0, 104, 0, -92, 0, 0, 0, 4, 0, 0, 0, 0, 0, 20, 0, 0, 0, 16, 0, 0, 0, 136, 0, -8, 0, 0, 0, -72, 0, 0, 0, 24, 0, -16, 0, 0, 0, 52, 0, 0, 0, -4, 0, 72, 0, 0, 0, 30, 0, 0, 0, 16, 0, -16, 0, 0, 0, -56, 0, 0, 0, 44, 0, 44, 0, 0, 0, 52, 0, 0, 0, 24, 0, -40, 0, 0, 0, -4, 0, 0, 0, 52, 0, 24, 0, 0, 0, 64, 0, 0, 0, 12, 0, 200, 0, 0, 0, 116, 0, 0, 0, -44, 0, 80, 0, 0, 0, 24, 0, 0, 0, -160, 0, 4, 0, 0, 0, -104, 0, 0, 0, -48, 0, -48, 0, 0, 0, 82, 0, 0, 0, -8, 0, -128, 0, 0, 0, 2, 0, 0, 0, 256, 0, -40, 0, 0, 0, -136, 0, 0, 0, -180, 0, -64, 0, 0, 0, -82, 0, 0, 0, -84, 0, 36, 0, 0, 0, -2, 0, 0, 0, 124, 0, 32, 0, 0, 0, 92, 0, 0, 0, -160, 0, -108, 0, 0, 0, 216, 0, 0, 0, 56, 0, -84, 0, 0, 0, 60, 0, 0, 0, -76, 0, -16, 0, 0, 0, 168, 0, 0, 0, 96, 0, -64, 0, 0, 0, -220, 0, 0, 0, 8, 0, -188, 0, 0, 0, 42, 0, 0, 0, 228, 0, -56, 0, 0, 0, 64, 0, 0, 0, 16, 0, -60, 0, 0, 0, 4, 0, 0, 0, 48, 0, 80, 0, 0, 0, 24, 0, 0, 0, 152, 0, 200, 0, 0, 0, 8, 0, 0, 0, 4, 0, -4, 0, 0, 0, -22, 0, 0, 0, 40, 0, -240, 0, 0, 0, -72, 0, 0, 0, -188, 0, -96, 0, 0, 0, -24, 0, 0, 0, -152, 0, 36, 0, 0, 0, -104, 0, 0, 0, 0, 0, 244, 0, 0, 0, -42, 0, 0, 0, -424, 0, 104, 0, 0, 0, -80, 0, 0, 0, 376, 0, -232, 0, 0, 0, -132, 0, 0, 0, -84, 0, 216, 0, 0, 0, 2, 0, 0, 0, -256, 0, -28, 0, 0, 0, 84, 0, 0, 0, 88, 0, 48, 0, 0, 0, 70, 0, 0, 0, -16, 0, 212, 0, 0, 0, -104, 0, 0, 0, 256, 0, -20, 0, 0, 0, 36, 0, 0, 0, 0, 0, -28, 0, 0, 0, 272, 0, 0, 0, 32, 0, -148, 0, 0, 0, -36, 0, 0, 0, 164, 0, 116, 0, 0, 0, 72, 0, 0, 0, 140, 0, -56, 0, 0, 0, 254, 0, 0, 0, 28, 0, 8, 0, 0, 0, -4, 0, 0, 0, 48, 0, 4, 0, 0, 0, -152, 0, 0, 0, 272, 0, 352, 0, 0, 0, -148, 0, 0, 0, 88, 0, 92, 0, 0, 0, 52, 0, 0, 0, -28, 0, 48, 0, 0, 0, 80, 0, 0, 0, -104, 0, -56, 0, 0, 0, -96, 0, 0, 0, -40, 0, 316, 0, 0, 0, -68, 0, 0, 0, -52, 0, -12, 0, 0, 0, -12, 0, 0, 0, -296, 0, 180, 0, 0, 0, -236, 0, 0, 0, 256, 0, 568, 0, 0, 0, -48, 0, 0, 0, -220, 0, -152, 0, 0, 0, 44, 0, 0, 0, -124, 0, -100, 0, 0, 0, -86, 0, 0, 0, 32, 0, -400, 0, 0, 0, 20, 0, 0, 0, -168, 0, -32, 0, 0, 0, 56, 0, 0, 0, -72, 0, -40, 0, 0, 0, 54, 0, 0, 0, -4, 0, -104, 0, 0, 0, 0, 0, 0, 0, -368, 0, -52, 0, 0, 0, -208, 0, 0, 0, 120, 0, -8, 0, 0, 0, 152, 0, 0, 0, 180, 0, 44, 0, 0, 0, 40, 0, 0, 0, 60, 0, -112, 0, 0, 0, -176, 0, 0, 0, 192, 0, 12, 0, 0, 0, 28, 0, 0, 0, -8, 0, -408, 0, 0, 0, 72, 0, 0, 0, 128, 0, 0, 0, 0, 0, -24, 0, 0, 0, -144, 0, 136, 0, 0, 0, 208, 0, 0, 0, -24, 0, -352, 0, 0, 0, 90, 0, 0, 0, -272, 0, -44, 0, 0, 0, -96, 0, 0, 0, -80, 0, 104, 0, 0, 0, -52, 0, 0, 0, -216, 0, -180, 0, 0, 0, 22, 0, 0, 0, 536, 0, -40, 0, 0, 0, -264, 0, 0, 0, -228, 0, -304, 0, 0, 0, -202, 0, 0, 0, -48, 0, 36, 0, 0, 0, 16, 0, 0, 0, 100, 0, 96, 0, 0, 0, 128, 0, 0, 0, -328, 0, -24, 0, 0, 0, 484, 0, 0, 0, 16, 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: 656136
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 33, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1140.2.bg.b', 'source_level': 1140, 'target_char_orbit': 33, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1140.2.bg.b', 'target_level': 1140, 'twist_class_label': '1140.2.bg.b', 'twist_class_level': 1140, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 656137
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 33, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1140.2.bg.b', 'source_level': 1140, 'target_char_orbit': 33, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1140.2.bg.b', 'target_level': 1140, 'twist_class_label': '1140.2.bg.b', 'twist_class_level': 1140, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 656138
    {'conductor': 19, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 33, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1140.2.bg.b', 'source_level': 1140, 'target_char_orbit': 33, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1140.2.bg.b', 'target_level': 1140, 'twist_class_label': '1140.2.bg.b', 'twist_class_level': 1140, 'twisting_char_label': '19.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 656139
    {'conductor': 95, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 33, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1140.2.bg.b', 'source_level': 1140, 'target_char_orbit': 33, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1140.2.bg.b', 'target_level': 1140, 'twist_class_label': '1140.2.bg.b', 'twist_class_level': 1140, 'twisting_char_label': '95.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 656140
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 33, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1140.2.bg.b', 'source_level': 1140, 'target_char_orbit': 36, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '3420.2.bj.a', 'target_level': 3420, 'twist_class_label': '1140.2.bg.b', 'twist_class_level': 1140, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 656141
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 33, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1140.2.bg.b', 'source_level': 1140, 'target_char_orbit': 36, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '3420.2.bj.a', 'target_level': 3420, 'twist_class_label': '1140.2.bg.b', 'twist_class_level': 1140, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 656142
    {'conductor': 57, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 33, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1140.2.bg.b', 'source_level': 1140, 'target_char_orbit': 36, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '3420.2.bj.a', 'target_level': 3420, 'twist_class_label': '1140.2.bg.b', 'twist_class_level': 1140, 'twisting_char_label': '57.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 656143
    {'conductor': 285, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 33, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1140.2.bg.b', 'source_level': 1140, 'target_char_orbit': 36, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '3420.2.bj.a', 'target_level': 3420, 'twist_class_label': '1140.2.bg.b', 'twist_class_level': 1140, 'twisting_char_label': '285.n', 'twisting_char_orbit': 14, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1715300
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505798684181620, 'p': 2}
  • id: 1715301
    {'charpoly_factorization': [[[1, 0, -1, 0, 1], 1]], 'hecke_orbit_code': 4505798684181620, 'p': 3}
  • id: 1715302
    {'charpoly_factorization': [[[25, -10, -1, -2, 1], 1]], 'hecke_orbit_code': 4505798684181620, 'p': 5}
  • id: 1715303
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505798684181620, 'p': 7}
  • id: 1715304
    {'charpoly_factorization': [[[-5, 1], 4]], 'hecke_orbit_code': 4505798684181620, 'p': 11}
  • id: 1715305
    {'charpoly_factorization': [[[16, 0, -4, 0, 1], 1]], 'hecke_orbit_code': 4505798684181620, 'p': 13}
  • id: 1715306
    {'charpoly_factorization': [[[1296, 0, -36, 0, 1], 1]], 'hecke_orbit_code': 4505798684181620, 'p': 17}
  • id: 1715307
    {'charpoly_factorization': [[[19, 7, 1], 2]], 'hecke_orbit_code': 4505798684181620, 'p': 19}
  • id: 1715308
    {'charpoly_factorization': [[[1296, 0, -36, 0, 1], 1]], 'hecke_orbit_code': 4505798684181620, 'p': 23}
  • id: 1715309
    {'charpoly_factorization': [[[1, -1, 1], 2]], 'hecke_orbit_code': 4505798684181620, 'p': 29}
  • id: 1715310
    {'charpoly_factorization': [[[-3, 1], 4]], 'hecke_orbit_code': 4505798684181620, 'p': 31}
  • id: 1715311
    {'charpoly_factorization': [[[4, 0, 1], 2]], 'hecke_orbit_code': 4505798684181620, 'p': 37}
  • id: 1715312
    {'charpoly_factorization': [[[36, -6, 1], 2]], 'hecke_orbit_code': 4505798684181620, 'p': 41}
  • id: 1715313
    {'charpoly_factorization': [[[1296, 0, -36, 0, 1], 1]], 'hecke_orbit_code': 4505798684181620, 'p': 43}
  • id: 1715314
    {'charpoly_factorization': [[[1296, 0, -36, 0, 1], 1]], 'hecke_orbit_code': 4505798684181620, 'p': 47}
  • id: 1715315
    {'charpoly_factorization': [[[256, 0, -16, 0, 1], 1]], 'hecke_orbit_code': 4505798684181620, 'p': 53}
  • id: 1715316
    {'charpoly_factorization': [[[121, -11, 1], 2]], 'hecke_orbit_code': 4505798684181620, 'p': 59}
  • id: 1715317
    {'charpoly_factorization': [[[9, -3, 1], 2]], 'hecke_orbit_code': 4505798684181620, 'p': 61}
  • id: 1715318
    {'charpoly_factorization': [[[16, 0, -4, 0, 1], 1]], 'hecke_orbit_code': 4505798684181620, 'p': 67}
  • id: 1715319
    {'charpoly_factorization': [[[81, -9, 1], 2]], 'hecke_orbit_code': 4505798684181620, 'p': 71}
  • id: 1715320
    {'charpoly_factorization': [[[16, 0, -4, 0, 1], 1]], 'hecke_orbit_code': 4505798684181620, 'p': 73}
  • id: 1715321
    {'charpoly_factorization': [[[25, 5, 1], 2]], 'hecke_orbit_code': 4505798684181620, 'p': 79}
  • id: 1715322
    {'charpoly_factorization': [[[36, 0, 1], 2]], 'hecke_orbit_code': 4505798684181620, 'p': 83}
  • id: 1715323
    {'charpoly_factorization': [[[1, -1, 1], 2]], 'hecke_orbit_code': 4505798684181620, 'p': 89}
  • id: 1715324
    {'charpoly_factorization': [[[10000, 0, -100, 0, 1], 1]], 'hecke_orbit_code': 4505798684181620, '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': 33, 'hecke_orbit': 2, 'label': '1140.2.bg.b', 'level': 1140, '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: 25285267
    {'hecke_orbit_code': 4505798684181620, 'n': 1, 'trace_an': 4}
  • id: 25285268
    {'hecke_orbit_code': 4505798684181620, 'n': 2, 'trace_an': 0}
  • id: 25285269
    {'hecke_orbit_code': 4505798684181620, 'n': 3, 'trace_an': 0}
  • id: 25285270
    {'hecke_orbit_code': 4505798684181620, 'n': 4, 'trace_an': 0}
  • id: 25285271
    {'hecke_orbit_code': 4505798684181620, 'n': 5, 'trace_an': 2}
  • id: 25285272
    {'hecke_orbit_code': 4505798684181620, 'n': 6, 'trace_an': 0}
  • id: 25285273
    {'hecke_orbit_code': 4505798684181620, 'n': 7, 'trace_an': 0}
  • id: 25285274
    {'hecke_orbit_code': 4505798684181620, 'n': 8, 'trace_an': 0}
  • id: 25285275
    {'hecke_orbit_code': 4505798684181620, 'n': 9, 'trace_an': 2}
  • id: 25285276
    {'hecke_orbit_code': 4505798684181620, 'n': 10, 'trace_an': 0}
  • id: 25285277
    {'hecke_orbit_code': 4505798684181620, 'n': 11, 'trace_an': 20}
  • id: 25285278
    {'hecke_orbit_code': 4505798684181620, 'n': 12, 'trace_an': 0}
  • id: 25285279
    {'hecke_orbit_code': 4505798684181620, 'n': 13, 'trace_an': 0}
  • id: 25285280
    {'hecke_orbit_code': 4505798684181620, 'n': 14, 'trace_an': 0}
  • id: 25285281
    {'hecke_orbit_code': 4505798684181620, 'n': 15, 'trace_an': -4}
  • id: 25285282
    {'hecke_orbit_code': 4505798684181620, 'n': 16, 'trace_an': 0}
  • id: 25285283
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  • id: 25285284
    {'hecke_orbit_code': 4505798684181620, 'n': 18, 'trace_an': 0}
  • id: 25285285
    {'hecke_orbit_code': 4505798684181620, 'n': 19, 'trace_an': -14}
  • id: 25285286
    {'hecke_orbit_code': 4505798684181620, 'n': 20, 'trace_an': 0}
  • id: 25285287
    {'hecke_orbit_code': 4505798684181620, 'n': 21, 'trace_an': 0}
  • id: 25285288
    {'hecke_orbit_code': 4505798684181620, 'n': 22, 'trace_an': 0}
  • id: 25285289
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  • id: 25285290
    {'hecke_orbit_code': 4505798684181620, 'n': 24, 'trace_an': 0}
  • id: 25285291
    {'hecke_orbit_code': 4505798684181620, 'n': 25, 'trace_an': 6}
  • id: 25285292
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  • id: 25285293
    {'hecke_orbit_code': 4505798684181620, 'n': 27, 'trace_an': 0}
  • id: 25285294
    {'hecke_orbit_code': 4505798684181620, 'n': 28, 'trace_an': 0}
  • id: 25285295
    {'hecke_orbit_code': 4505798684181620, 'n': 29, 'trace_an': 2}
  • id: 25285296
    {'hecke_orbit_code': 4505798684181620, 'n': 30, 'trace_an': 0}
  • id: 25285297
    {'hecke_orbit_code': 4505798684181620, 'n': 31, 'trace_an': 12}
  • id: 25285298
    {'hecke_orbit_code': 4505798684181620, 'n': 32, 'trace_an': 0}
  • id: 25285299
    {'hecke_orbit_code': 4505798684181620, 'n': 33, 'trace_an': 0}
  • id: 25285300
    {'hecke_orbit_code': 4505798684181620, 'n': 34, 'trace_an': 0}
  • id: 25285301
    {'hecke_orbit_code': 4505798684181620, 'n': 35, 'trace_an': 0}
  • id: 25285302
    {'hecke_orbit_code': 4505798684181620, 'n': 36, 'trace_an': 0}
  • id: 25285303
    {'hecke_orbit_code': 4505798684181620, 'n': 37, 'trace_an': 0}
  • id: 25285304
    {'hecke_orbit_code': 4505798684181620, 'n': 38, 'trace_an': 0}
  • id: 25285305
    {'hecke_orbit_code': 4505798684181620, 'n': 39, 'trace_an': 8}
  • id: 25285306
    {'hecke_orbit_code': 4505798684181620, 'n': 40, 'trace_an': 0}
  • id: 25285307
    {'hecke_orbit_code': 4505798684181620, 'n': 41, 'trace_an': 12}
  • id: 25285308
    {'hecke_orbit_code': 4505798684181620, 'n': 42, 'trace_an': 0}
  • id: 25285309
    {'hecke_orbit_code': 4505798684181620, 'n': 43, 'trace_an': 0}
  • id: 25285310
    {'hecke_orbit_code': 4505798684181620, 'n': 44, 'trace_an': 0}
  • id: 25285311
    {'hecke_orbit_code': 4505798684181620, 'n': 45, 'trace_an': 4}
  • id: 25285312
    {'hecke_orbit_code': 4505798684181620, 'n': 46, 'trace_an': 0}
  • id: 25285313
    {'hecke_orbit_code': 4505798684181620, 'n': 47, 'trace_an': 0}
  • id: 25285314
    {'hecke_orbit_code': 4505798684181620, 'n': 48, 'trace_an': 0}
  • id: 25285315
    {'hecke_orbit_code': 4505798684181620, 'n': 49, 'trace_an': 28}
  • id: 25285316
    {'hecke_orbit_code': 4505798684181620, 'n': 50, 'trace_an': 0}
  • id: 25285317
    {'hecke_orbit_code': 4505798684181620, 'n': 51, 'trace_an': -12}
  • id: 25285318
    {'hecke_orbit_code': 4505798684181620, 'n': 52, 'trace_an': 0}
  • id: 25285319
    {'hecke_orbit_code': 4505798684181620, 'n': 53, 'trace_an': 0}
  • id: 25285320
    {'hecke_orbit_code': 4505798684181620, 'n': 54, 'trace_an': 0}
  • id: 25285321
    {'hecke_orbit_code': 4505798684181620, 'n': 55, 'trace_an': 10}
  • id: 25285322
    {'hecke_orbit_code': 4505798684181620, 'n': 56, 'trace_an': 0}
  • id: 25285323
    {'hecke_orbit_code': 4505798684181620, 'n': 57, 'trace_an': 0}
  • id: 25285324
    {'hecke_orbit_code': 4505798684181620, 'n': 58, 'trace_an': 0}
  • id: 25285325
    {'hecke_orbit_code': 4505798684181620, 'n': 59, 'trace_an': 22}
  • id: 25285326
    {'hecke_orbit_code': 4505798684181620, 'n': 60, 'trace_an': 0}
  • id: 25285327
    {'hecke_orbit_code': 4505798684181620, 'n': 61, 'trace_an': 6}
  • id: 25285328
    {'hecke_orbit_code': 4505798684181620, 'n': 62, 'trace_an': 0}
  • id: 25285329
    {'hecke_orbit_code': 4505798684181620, 'n': 63, 'trace_an': 0}
  • id: 25285330
    {'hecke_orbit_code': 4505798684181620, 'n': 64, 'trace_an': 0}
  • id: 25285331
    {'hecke_orbit_code': 4505798684181620, 'n': 65, 'trace_an': -16}
  • id: 25285332
    {'hecke_orbit_code': 4505798684181620, 'n': 66, 'trace_an': 0}
  • id: 25285333
    {'hecke_orbit_code': 4505798684181620, 'n': 67, 'trace_an': 0}
  • id: 25285334
    {'hecke_orbit_code': 4505798684181620, 'n': 68, 'trace_an': 0}
  • id: 25285335
    {'hecke_orbit_code': 4505798684181620, 'n': 69, 'trace_an': 24}
  • id: 25285336
    {'hecke_orbit_code': 4505798684181620, 'n': 70, 'trace_an': 0}
  • id: 25285337
    {'hecke_orbit_code': 4505798684181620, 'n': 71, 'trace_an': 18}
  • id: 25285338
    {'hecke_orbit_code': 4505798684181620, 'n': 72, 'trace_an': 0}
  • id: 25285339
    {'hecke_orbit_code': 4505798684181620, 'n': 73, 'trace_an': 0}
  • id: 25285340
    {'hecke_orbit_code': 4505798684181620, 'n': 74, 'trace_an': 0}
  • id: 25285341
    {'hecke_orbit_code': 4505798684181620, 'n': 75, 'trace_an': -16}
  • id: 25285342
    {'hecke_orbit_code': 4505798684181620, 'n': 76, 'trace_an': 0}
  • id: 25285343
    {'hecke_orbit_code': 4505798684181620, 'n': 77, 'trace_an': 0}
  • id: 25285344
    {'hecke_orbit_code': 4505798684181620, 'n': 78, 'trace_an': 0}
  • id: 25285345
    {'hecke_orbit_code': 4505798684181620, 'n': 79, 'trace_an': -10}
  • id: 25285346
    {'hecke_orbit_code': 4505798684181620, 'n': 80, 'trace_an': 0}
  • id: 25285347
    {'hecke_orbit_code': 4505798684181620, 'n': 81, 'trace_an': -2}
  • id: 25285348
    {'hecke_orbit_code': 4505798684181620, 'n': 82, 'trace_an': 0}
  • id: 25285349
    {'hecke_orbit_code': 4505798684181620, 'n': 83, 'trace_an': 0}
  • id: 25285350
    {'hecke_orbit_code': 4505798684181620, 'n': 84, 'trace_an': 0}
  • id: 25285351
    {'hecke_orbit_code': 4505798684181620, 'n': 85, 'trace_an': 24}
  • id: 25285352
    {'hecke_orbit_code': 4505798684181620, 'n': 86, 'trace_an': 0}
  • id: 25285353
    {'hecke_orbit_code': 4505798684181620, 'n': 87, 'trace_an': 0}
  • id: 25285354
    {'hecke_orbit_code': 4505798684181620, 'n': 88, 'trace_an': 0}
  • id: 25285355
    {'hecke_orbit_code': 4505798684181620, 'n': 89, 'trace_an': 2}
  • id: 25285356
    {'hecke_orbit_code': 4505798684181620, 'n': 90, 'trace_an': 0}
  • id: 25285357
    {'hecke_orbit_code': 4505798684181620, 'n': 91, 'trace_an': 0}
  • id: 25285358
    {'hecke_orbit_code': 4505798684181620, 'n': 92, 'trace_an': 0}
  • id: 25285359
    {'hecke_orbit_code': 4505798684181620, 'n': 93, 'trace_an': 0}
  • id: 25285360
    {'hecke_orbit_code': 4505798684181620, 'n': 94, 'trace_an': 0}
  • id: 25285361
    {'hecke_orbit_code': 4505798684181620, 'n': 95, 'trace_an': -16}
  • id: 25285362
    {'hecke_orbit_code': 4505798684181620, 'n': 96, 'trace_an': 0}
  • id: 25285363
    {'hecke_orbit_code': 4505798684181620, 'n': 97, 'trace_an': 0}
  • id: 25285364
    {'hecke_orbit_code': 4505798684181620, 'n': 98, 'trace_an': 0}
  • id: 25285365
    {'hecke_orbit_code': 4505798684181620, 'n': 99, 'trace_an': 10}
  • id: 25285366
    {'hecke_orbit_code': 4505798684181620, 'n': 100, 'trace_an': 0}