Newform data - 3888.2.a.p

Formats: - HTML - YAML - JSON - 2026-08-06T19:32:47.144354

• 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': 15552, 'analytic_conductor': 31.045836305873813, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 1]], 'atkin_lehner_string': '++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3888, 1, [2431, 2917, 1217], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [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': [[5, [-1, 1]], [7, [0, 1]], [11, [-2, 1]], [13, [2, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444115760, 'hecke_ring_generator_nbound': 1, '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': False, 'label': '3888.2.a.p', 'level': 3888, 'level_is_powerful': True, '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], 'level_radical': 6, 'minimal_twist': '1944.2.a.e', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{5}+2q^{11}-2q^{13}-4q^{17}+q^{19}+\\cdots', 'related_objects': ['EllipticCurve/Q/3888/p'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3888.2.a', 'trace_display': [0, 0, 1, 0], 'trace_hash': 1482696420158147726, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '0.995', 'prec': 10}, 0, {'__RealLiteral__': 0, 'data': '1.984', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '4.886', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.027', 'prec': 7}, 'traces': [1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, -2, 0, 0, 0, -4, 0, 1, 0, 0, 0, -1, 0, -4, 0, 0, 0, -9, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 9, 0, -7, 0, 0, 0, -5, 0, 2, 0, 0, 0, -10, 0, 4, 0, 0, 0, -2, 0, -11, 0, 0, 0, 13, 0, 1, 0, 0, 0, 0, 0, -4, 0, 0, 0, 16, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, -13, 0, 0, 0, -9, 0, -16, 0, 0, 0, 0, 0, 10, 0, 0, 0, 18, 0, -1, 0, 0, 0, 0, 0, -7, 0, 0, 0, -9, 0, 8, 0, 0, 0, 10, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -4, 0, -9, 0, 0, 0, -10, 0, -14, 0, 0, 0, -2, 0, -20, 0, 0, 0, 0, 0, 9, 0, 0, 0, -9, 0, -9, 0, 0, 0, 9, 0, 0, 0, 0, 0, 18, 0, 18, 0, 0, 0, 0, 0, -8, 0, 0, 0, 9, 0, 2, 0, 0, 0, 18, 0, -10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, -16, 0, 0, 0, -4, 0, 0, 0, 0, 0, 8, 0, 14, 0, 0, 0, -18, 0, -20, 0, 0, 0, -14, 0, 9, 0, 0, 0, 1, 0, -18, 0, 0, 0, -7, 0, -2, 0, 0, 0, -14, 0, -2, 0, 0, 0, -10, 0, 0, 0, 0, 0, -16, 0, -5, 0, 0, 0, 14, 0, 10, 0, 0, 0, -8, 0, 22, 0, 0, 0, 20, 0, -11, 0, 0, 0, 0, 0, -1, 0, 0, 0, -9, 0, -10, 0, 0, 0, 2, 0, 0, 0, 0, 0, 4, 0, -27, 0, 0, 0, 27, 0, -27, 0, 0, 0, 18, 0, -18, 0, 0, 0, -4, 0, 8, 0, 0, 0, 0, 0, -5, 0, 0, 0, -11, 0, 9, 0, 0, 0, -4, 0, 0, 0, 0, 0, 18, 0, 18, 0, 0, 0, 20, 0, 13, 0, 0, 0, -27, 0, -18, 0, 0, 0, 1, 0, -22, 0, 0, 0, 0, 0, -16, 0, 0, 0, 18, 0, 25, 0, 0, 0, -27, 0, 0, 0, 0, 0, 25, 0, 4, 0, 0, 0, -4, 0, 8, 0, 0, 0, -18, 0, 4, 0, 0, 0, 0, 0, 27, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 8, 0, 0, 0, 16, 0, 0, 0, 0, 0, -5, 0, 1, 0, 0, 0, -1, 0, 36, 0, 0, 0, -38, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, -2, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -4, 0, 0, 0, -20, 0, 0, 0, 0, 0, -13, 0, -28, 0, 0, 0, 18, 0, 36, 0, 0, 0, 0, 0, -9, 0, 0, 0, -9, 0, -9, 0, 0, 0, -9, 0, 0, 0, 0, 0, -16, 0, 18, 0, 0, 0, 32, 0, -19, 0, 0, 0, 8, 0, -22, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14, 0, 36, 0, 0, 0, 10, 0, 13, 0, 0, 0, -9, 0, 0, 0, 0, 0, -14, 0, 8, 0, 0, 0, -28, 0, 18, 0, 0, 0, -2, 0, 45, 0, 0, 0, 4, 0, -37, 0, 0, 0, 0, 0, -10, 0, 0, 0, 2, 0, -2, 0, 0, 0, 4, 0, 0, 0, 0, 0, 27, 0, -5, 0, 0, 0, -7, 0, 22, 0, 0, 0, -18, 0, 8, 0, 0, 0, -18, 0, -4, 0, 0, 0, 0, 0, 11, 0, 0, 0, 0, 0, -16, 0, 0, 0, 8, 0, 14, 0, 0, 0, -2, 0, 9, 0, 0, 0, 13, 0, -20, 0, 0, 0, 18, 0, 10, 0, 0, 0, 36, 0, 20, 0, 0, 0, 0, 0, 9, 0, 0, 0, 8, 0, -23, 0, 0, 0, 25, 0, 0, 0, 0, 0, 32, 0, -18, 0, 0, 0, 10, 0, 31, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 50, 0, 0, 0, 2, 0, -4, 0, 0, 0, 32, 0, 0, 0, 0, 0, 36, 0, 36, 0, 0, 0, 16, 0, 20, 0, 0, 0, -22, 0, -44, 0, 0, 0, -37, 0, -10, 0, 0, 0, 0, 0, 18, 0, 0, 0, -14, 0, -10, 0, 0, 0, -28, 0, 0, 0, 0, 0, 20, 0, 29, 0, 0, 0, 27, 0, 8, 0, 0, 0, 0, 0, 26, 0, 0, 0, -20, 0, 11, 0, 0, 0, 0, 0, -8, 0, 0, 0, 1, 0, -36, 0, 0, 0, 2, 0, 0, 0, 0, 0, -40, 0, 53, 0, 0, 0, 9, 0, -4, 0, 0, 0, -45, 0, 34, 0, 0, 0, -14, 0, 10, 0, 0, 0, 28, 0, -9, 0, 0, 0, -9, 0, 52, 0, 0, 0, -9, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -54, 0, 9, 0, 0, 0, 41, 0, 9, 0, 0, 0, -8, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14, 0, -44, 0, 0, 0, -8, 0, 0, 0, 0, 0, 9, 0, 18, 0, 0, 0, 18, 0, 20, 0, 0, 0, 18, 0, 23, 0, 0, 0, 47, 0, 32, 0, 0, 0, 0, 0, -52, 0, 0, 0, -26, 0, 0, 0, 0, 0, -34, 0, -7, 0, 0, 0, -8, 0, -18, 0, 0, 0, -27, 0, 0, 0, 0, 0, 18, 0, -2, 0, 0, 0, -36, 0, 9, 0, 0, 0, 0, 0, -27, 0, 0, 0, 2, 0, -38, 0, 0, 0, 36, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, 36, 0, 18, 0, 0, 0, 4, 0, 44, 0, 0, 0, -10, 0, 10, 0, 0, 0, 0, 0, 40, 0, 0, 0, -5, 0, -37, 0, 0, 0, 46, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 1, 0, 1, 0, 0, 0, -16, 0, 52, 0, 0, 0, 0, 0, 2, 0, 0, 0, 62, 0, -5, 0, 0, 0, -16, 0, 0, 0, 0, 0, -63, 0, 8, 0, 0, 0, -26, 0, 14, 0, 0, 0, 0, 0, 16, 0, 0, 0, -32, 0, -9, 0, 0, 0, 0, 0, 28, 0, 0, 0, 52, 0, -18, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, -18, 0, -18, 0, 0, 0, 14, 0, -8, 0, 0, 0, -10, 0, 9, 0, 0, 0, 7, 0, -2, 0, 0, 0, -32, 0, -18, 0, 0, 0, 44, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, -45, 0, 1, 0, 0, 0, 0, 0, 4, 0, 0, 0, -54, 0, -14, 0, 0, 0, 0, 0, -43, 0, 0, 0, -36, 0, 0, 0, 0, 0, -47, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 44, 0, 1, 0, 0, 0, 20, 0, 7, 0, 0, 0, -18, 0, -52, 0, 0, 0, 0, 0, 40, 0, 0, 0, 2, 0, 5, 0, 0, 0, 63, 0, 28, 0, 0, 0, -19, 0, -14, 0, 0, 0, -2, 0, 2, 0, 0, 0, -4, 0, 36, 0, 0, 0, 36, 0, -14, 0, 0, 0, 0, 0, -14, 0, 0, 0, -18, 0, 26, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, -11, 0, 0, 0, -9, 0, 46, 0, 0, 0, -18, 0, -10, 0, 0, 0, 38, 0, 41, 0, 0, 0, 0, 0, -27, 0, 0, 0, -63, 0, 14, 0, 0, 0, 52, 0, 0, 0, 0, 0, 18, 0, -16, 0, 0, 0, -44, 0, -31, 0, 0, 0, 20, 0, -2, 0, 0, 0, -36, 0, 8, 0, 0, 0, 0, 0, 32, 0, 0, 0, 16, 0, 14, 0, 0, 0, 13, 0, 0, 0, 0, 0, 10, 0, 10, 0, 0, 0, -2, 0, -81, 0, 0, 0, 0, 0, -37, 0, 0, 0, 45, 0, -18, 0, 0, 0, 0, 0, 20, 0, 0, 0, 22, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -4, 0, 20, 0, 0, 0, -54, 0, -64, 0, 0, 0, -11, 0, -20, 0, 0, 0, 63, 0, 28, 0, 0, 0, 18, 0, -58, 0, 0, 0, 54, 0, 0, 0, 0, 0, 36, 0, 20, 0, 0, 0, -1, 0, -18, 0, 0, 0, -16, 0, 18, 0, 0, 0, -18, 0, -19, 0, 0, 0, 0, 0, -9, 0, 0, 0, -36, 0, 52, 0, 0, 0, 40, 0, 0, 0, 0, 0, -44, 0, -9, 0, 0, 0, -29, 0, -25, 0, 0, 0, 13, 0, 2, 0, 0, 0, -26, 0, -4, 0, 0, 0, 0, 0, -36, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 14, 0, 0, 0, -72, 0, -16, 0, 0, 0, 0, 0, 55, 0, 0, 0, -27, 0, 45, 0, 0, 0, 11, 0, -70, 0, 0, 0, 0, 0, 10, 0, 0, 0, 72, 0, 27, 0, 0, 0, -29, 0, 0, 0, 0, 0, -27, 0, -10, 0, 0, 0, 36, 0, 14, 0, 0, 0, 16, 0, -25, 0, 0, 0, -68, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, -54, 0, 0, 0, -36, 0, 0, 0, 0, 0, 73, 0, 22, 0, 0, 0, 18, 0, -4, 0, 0, 0, 18, 0, 8, 0, 0, 0, 18, 0, -67, 0, 0, 0, 0, 0, -13, 0, 0, 0, 63, 0, -20, 0, 0, 0, 10, 0, 0, 0, 0, 0, 52, 0, -16, 0, 0, 0, -5, 0, 10, 0, 0, 0, -28, 0, -58, 0, 0, 0, 0, 0, -38, 0, 0, 0, 0, 0, 44, 0, 0, 0, -1, 0, -41, 0, 0, 0, 9, 0, 0, 0, 0, 0, 0, 0, -54, 0, 0, 0, 10, 0, 49, 0, 0, 0, -20, 0, -4, 0, 0, 0, 41, 0, 90, 0, 0, 0, 0, 0, 36, 0, 0, 0, 2, 0, 52, 0, 0, 0, -40, 0, 0, 0, 0, 0, 17, 0, 18, 0, 0, 0, 0, 0, 22, 0, 0, 0, 18, 0, -47, 0, 0, 0, 64, 0, -59, 0, 0, 0, 0, 0, -70, 0, 0, 0, 0, 0, 20, 0, 0, 0, -36, 0, 0, 0, 0, 0, -52, 0, -38, 0, 0, 0, 36, 0, -80, 0, 0, 0, 36, 0, -76, 0, 0, 0, 18, 0, -27, 0, 0, 0, 0, 0, 55, 0, 0, 0, -18, 0, 0, 0, 0, 0, -70, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -64, 0, -4, 0, 0, 0, 20, 0, -52, 0, 0, 0, -22, 0, -18, 0, 0, 0, 0, 0, -13, 0, 0, 0, -16, 0, -27, 0, 0, 0, -40, 0, 0, 0, 0, 0, -18, 0, -4, 0, 0, 0, -16, 0, -20, 0, 0, 0, 32, 0, 35, 0, 0, 0, 9, 0, 4, 0, 0, 0, 0, 0, 18, 0, 0, 0, 68, 0, -8, 0, 0, 0, 25, 0, 0, 0, 0, 0, 61, 0, 18, 0, 0, 0, -72, 0, -16, 0, 0, 0, -8, 0, -27, 0, 0, 0, -9, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, -54, 0, 0, 0, 20, 0, 0, 0, 0, 0, 99, 0, 25, 0, 0, 0, -62, 0, -50, 0, 0, 0, 4, 0, -16, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 36, 0, 0, 0, 54, 0, 16, 0, 0, 0, -72, 0, 0, 0, 0, 0, 8, 0, 76, 0, 0, 0, 36, 0, -43, 0, 0, 0, 5, 0, 10, 0, 0, 0, -82, 0, -18, 0, 0, 0, 0, 0, -36, 0, 0, 0, 4, 0, -37, 0, 0, 0, -36, 0, 0, 0, 0, 0, 18, 0, -70, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 40, 0, 0, 0, 27, 0, 0, 0, 0, 0, 0, 0, -46, 0, 0, 0, 28, 0, -117, 0, 0, 0, -81, 0, 0, 0, 0, 0, -54, 0, 10, 0, 0, 0, -64, 0, 22, 0, 0, 0, -34, 0, -43, 0, 0, 0, -31, 0, 26, 0, 0, 0, 0, 0, 0, 0, 0, 0, -54, 0, 18, 0, 0, 0, 8, 0, 28, 0, 0, 0, 27, 0, -31, 0, 0, 0, -9, 0, -18, 0, 0, 0, 4, 0, 36, 0, 0, 0, 18, 0, -13, 0, 0, 0, 0, 0, -38, 0, 0, 0, 59, 0, 62, 0, 0, 0, 18, 0, 0, 0, 0, 0, -2, 0, -5, 0, 0, 0, -32, 0, 63, 0, 0, 0, 1, 0, 36, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -1, 0, 0, 0, -20, 0, 0, 0, 0, 0, 36, 0, 44, 0, 0, 0, -26, 0, 36, 0, 0, 0, -16, 0, 34, 0, 0, 0, 9, 0, -38, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, -40, 0, 0, 0, 13, 0, 0, 0, 0, 0, -27, 0, -36, 0, 0, 0, 36, 0, 4, 0, 0, 0, -18, 0, 63, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, -18, 0, -26, 0, 0, 0, 18, 0, 0, 0, 0, 0, 20, 0, 2, 0, 0, 0, -22, 0, 54, 0, 0, 0, 36, 0, -68, 0, 0, 0, 18, 0, -7, 0, 0, 0, -63, 0, -2, 0, 0, 0, 27, 0, -54, 0, 0, 0, 16, 0, 0, 0, 0, 0, -32, 0, 9, 0, 0, 0, -36, 0, 72, 0, 0, 0, 79, 0, 0, 0, 0, 0, 50, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 81, 0, -36, 0, 0, 0, -49, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 16, 0, 45, 0, 0, 0, -9, 0, -82, 0, 0, 0, 19, 0, 18, 0, 0, 0, 0, 0, -34, 0, 0, 0, -4, 0, -20, 0, 0, 0, 71, 0, 49, 0, 0, 0, 0, 0, -144, 0, 0, 0, 4, 0, 8, 0, 0, 0, -62, 0, 0, 0, 0, 0, 9, 0, 52, 0, 0, 0, 0, 0, 16, 0, 0, 0, -28, 0, -94, 0, 0, 0, -54, 0, 0, 0, 0, 0, 72, 0, 8, 0, 0, 0, 28, 0, 18, 0, 0, 0, 52, 0, 0, 0, 0, 0, 36, 0, -91, 0, 0, 0, 0, 0, 63, 0, 0, 0, -81, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 10, 0, -45, 0, 0, 0, -9, 0, -36, 0, 0, 0, 0, 0, -82, 0, 0, 0, -10, 0, -4, 0, 0, 0, 0, 0, -9, 0, 0, 0, -40, 0, 73, 0, 0, 0, 36, 0, 0, 0, 0, 0, -2, 0, 40, 0, 0, 0, 40, 0, 36, 0, 0, 0, -80, 0, -9, 0, 0, 0, -65, 0, 92, 0, 0, 0, 0, 0, -28, 0, 0, 0, -36, 0, -28, 0, 0, 0, 56, 0, 0, 0, 0, 0, -32, 0, 64, 0, 0, 0, 36, 0, 0, 0, 0, 0, 18, 0, 20, 0, 0, 0, 27, 0, 19, 0, 0, 0, 35, 0, -18, 0, 0, 0, -18, 0, 32, 0, 0, 0, -90, 0, 0, 0, 0, 0, -19, 0, 23, 0, 0, 0, -63, 0, -16, 0, 0, 0, 0, 0, 2, 0, 0, 0, 26, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22, 0, -90, 0, 0, 0, -36, 0, 0, 0, 0, 0, 36, 0, -88, 0, 0, 0, 27, 0, 0, 0, 0, 0, 80, 0, 54, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 71, 0, 0, 0, -9, 0, 49, 0, 0, 0, -74, 0, -14, 0, 0, 0, 36, 0, 0, 0, 0, 0, 36, 0, 9, 0, 0, 0, -45, 0, -74, 0, 0, 0, -4, 0, 18, 0, 0, 0, 0, 0, -40, 0, 0, 0, -72, 0, 43, 0, 0, 0, 13, 0, 0, 0, 0, 0, -98, 0, 32, 0, 0, 0, 0, 0, 2, 0, 0, 0, -90, 0, -9, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 74, 0, 0, 0, -36, 0, -90, 0, 0, 0, -82, 0, 0, 0, 0, 0, 7, 0, -14, 0, 0, 0, 58, 0, 26, 0, 0, 0, 8, 0, -32, 0, 0, 0, -90, 0, 7, 0, 0, 0, 0, 0, -28, 0, 0, 0, 117, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, -20, 0, 0, 0, -10, 0, 86, 0, 0, 0, -83, 0, 36, 0, 0, 0, 40, 0, -2, 0, 0, 0, 0, 0, 68, 0, 0, 0, 45, 0, 9, 0, 0, 0, -5, 0, 0, 0, 0, 0, 36, 0, -14, 0, 0, 0, 36, 0, 9, 0, 0, 0, 45, 0, 44, 0, 0, 0, -37, 0, -14, 0, 0, 0, 70, 0, -32, 0, 0, 0, 72, 0, -28, 0, 0, 0, -80, 0, 0, 0, 0, 0, 65, 0, 0, 0, 0, 0, -10, 0, -82, 0, 0, 0, -8, 0, 0, 0, 0, 0, 43, 0, 81, 0, 0, 0, 0, 0, 2, 0, 0, 0, -26, 0, -36, 0, 0, 0, -2, 0, 0, 0, 0, 0, 36, 0, 82, 0, 0, 0, 26, 0, 28, 0, 0, 0, 92, 0, 4, 0, 0, 0, 90, 0, 63, 0, 0, 0, 0, 0, 40, 0, 0, 0, 20, 0, -20, 0, 0, 0, 144, 0, -28, 0, 0, 0, 0, 0, 27, 0, 0, 0, 65, 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], [0], [0], [0], [0], [0], [2], [0], [-2], [0], [0], [0], [-4], [0], [1], [0], [0], [0], [-1], [0], [-4], [0], [0], [0], [-9], [0], [-2], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [-4], [0], [0], [0], [9], [0], [-7], [0], [0], [0], [-5], [0], [2], [0], [0], [0], [-10], [0], [4], [0], [0], [0], [-2], [0], [-11], [0], [0], [0], [13], [0], [1], [0], [0], [0], [0], [0], [-4], [0], [0], [0], [16], [0], [-4], [0], [0], [0], [0], [0], [0], [0], [0], [0], [1], [0], [-13], [0], [0], [0]], 'ap': [[0], [0], [1], [0], [2], [-2], [-4], [1], [-1], [-9], [-2], [0], [0], [-4], [9], [-5], [-10], [4], [-11], [13], [1], [-4], [16], [0], [-13], [-9], [-16], [0], [10], [18], [8], [10], [-18], [0], [-10], [-14], [-20], [9], [-9], [9], [18], [18], [9], [2], [18], [-10], [-16], [14], [-18], [-20], [-14], [1], [-18], [-14], [-10], [-16], [14], [10], [22], [20], [-11], [-9], [-27], [27], [-27], [18], [-5], [9], [18], [18], [20], [-27], [-22], [-16], [25], [-27], [25], [8], [-18], [27], [0], [8], [-5], [1], [36], [-38], [4], [-22], [-2], [16], [0], [-20], [-28], [18], [-9], [-9], [-9], [32], [-19], [36], [13], [-14], [-28], [-2], [45], [-37], [2], [4], [27], [-5], [22], [8], [-18], [-4], [-16], [-2], [9], [13], [18], [36], [20], [-23], [25], [32], [31], [18], [50], [32], [36], [20], [-44], [-37], [18], [-10], [-28], [29], [27], [11], [1], [-40], [53], [-45], [34], [-14], [10], [-9], [32], [-54], [9], [41], [0], [14], [-44], [-8], [23], [47], [-52], [-34], [-18], [-27], [18], [-36], [-38], [36], [-54], [36], [44], [10], [-37], [46], [18], [0], [1], [1], [52], [62], [-5], [-63], [8], [14], [28], [52], [-18], [18], [0], [-18], [-8], [9], [-2], [-45], [1], [-54], [-43], [-47], [18], [44], [7], [40], [2], [63], [-19], [-14], [2], [-14], [-18], [-9], [46], [-18], [38], [41], [-27], [-63], [14], [52], [-44], [-31], [-2], [-2], [0], [45], [20], [0], [-54], [28], [18], [-58], [54], [36], [-18], [-16], [18], [-19], [52], [-44], [-9], [-29], [-25], [13], [-26], [-40], [-72], [55], [-70], [10], [72], [-29], [-10], [36], [-25], [-68], [-54], [-36], [73], [22], [18], [18], [8], [-67], [63], [10], [-58], [0], [-38], [-54], [10], [49], [41], [2], [52], [17], [22], [-47], [-59], [-70], [-38], [-80], [36], [-76], [55], [-70], [-64], [-52], [-16], [-4], [-20], [32], [35], [9], [4], [68], [61], [-72], [-8], [72], [-54], [-62], [-50], [54], [-72], [76], [-43], [5], [10], [-82], [-36], [-37], [18], [-70], [1], [-46], [-81], [-54], [-34], [-43], [-31], [26], [-54], [27], [-31], [18], [-13], [-38], [59], [62], [-2], [63], [-36], [36], [-16], [9], [-68], [-27], [-36], [36], [63], [-18], [-26], [18], [2], [54], [-68], [18], [27], [-54], [79], [50], [0], [5], [81], [-49], [45], [-82], [19], [18], [-34], [-4], [71], [4], [-62], [9], [-94], [-54], [72], [52], [-91], [63], [-81], [-82], [73], [-2], [36], [-80], [-65], [92], [-28], [36], [27], [19], [-90], [23], [-63], [26], [-90], [36], [-88], [27], [54], [-4], [71], [-9], [49], [-74], [36], [9], [-45], [-74], [18], [-72], [43], [-98], [2], [-90], [74], [-82], [58], [26], [-32], [-90], [7], [0], [86], [-83], [40], [68], [9], [-5], [45], [-14], [72], [-80], [65], [-82], [43], [-26], [82], [26], [92], [90], [63], [65]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 67553994444115760, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '3888.2.a.p', 'level': 3888, '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': [15, 21, 18, 18], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [26, 27, 27, 27], 'ALdims_old': [130, 132, 135, 126], 'Nk2': 15552, 'analytic_conductor': 31.045836305873813, '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': [3888, 1, [2431, 2917, 1217], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 595, 'dim': 72, 'eis_dim': 107, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11, 13], 'hecke_orbit_code': 33558320, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 6, 6], 'label': '3888.2.a', 'level': 3888, 'level_is_powerful': True, '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], 'level_radical': 6, 'mf_dim': 702, 'mf_new_dim': 72, 'num_forms': 39, 'plus_dim': 33, 'prim_orbit_index': 1, 'relative_dim': 72, 'sturm_bound': 1296, 'trace_bound': 29, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

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

  
  
  • id: 1167134
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '3888.2.a.p', 'source_level': 3888, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': True, 'target_label': '1944.2.a.e', 'target_level': 1944, 'twist_class_label': '1944.2.a.e', 'twist_class_level': 1944, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1167135
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '3888.2.a.p', 'source_level': 3888, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '1944.2.a.f', 'target_level': 1944, 'twist_class_label': '1944.2.a.e', 'twist_class_level': 1944, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1167136
    {'conductor': 36, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '3888.2.a.p', 'source_level': 3888, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '1944.2.i.e', 'target_level': 1944, 'twist_class_label': '1944.2.a.e', 'twist_class_level': 1944, 'twisting_char_label': '36.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1167137
    {'conductor': 36, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '3888.2.a.p', 'source_level': 3888, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '1944.2.i.f', 'target_level': 1944, 'twist_class_label': '1944.2.a.e', 'twist_class_level': 1944, 'twisting_char_label': '36.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1167138
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '3888.2.a.p', 'source_level': 3888, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '3888.2.a.g', 'target_level': 3888, 'twist_class_label': '1944.2.a.e', 'twist_class_level': 1944, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1167139
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '3888.2.a.p', 'source_level': 3888, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '3888.2.a.p', 'target_level': 3888, 'twist_class_label': '1944.2.a.e', 'twist_class_level': 1944, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3413025
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 2}
  • id: 3413026
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 3}
  • id: 3413027
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 5}
  • id: 3413028
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 7}
  • id: 3413029
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 11}
  • id: 3413030
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 13}
  • id: 3413031
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 17}
  • id: 3413032
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 19}
  • id: 3413033
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 23}
  • id: 3413034
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 29}
  • id: 3413035
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 31}
  • id: 3413036
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 37}
  • id: 3413037
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 41}
  • id: 3413038
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 43}
  • id: 3413039
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 47}
  • id: 3413040
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 53}
  • id: 3413041
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 59}
  • id: 3413042
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 61}
  • id: 3413043
    {'charpoly_factorization': [[[11, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 67}
  • id: 3413044
    {'charpoly_factorization': [[[-13, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 71}
  • id: 3413045
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 73}
  • id: 3413046
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 79}
  • id: 3413047
    {'charpoly_factorization': [[[-16, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 83}
  • id: 3413048
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444115760, 'p': 89}
  • id: 3413049
    {'charpoly_factorization': [[[13, 1], 1]], 'hecke_orbit_code': 67553994444115760, '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': 16, 'label': '3888.2.a.p', 'level': 3888, '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: 60548707
    {'hecke_orbit_code': 67553994444115760, 'n': 1, 'trace_an': 1}
  • id: 60548708
    {'hecke_orbit_code': 67553994444115760, 'n': 2, 'trace_an': 0}
  • id: 60548709
    {'hecke_orbit_code': 67553994444115760, 'n': 3, 'trace_an': 0}
  • id: 60548710
    {'hecke_orbit_code': 67553994444115760, 'n': 4, 'trace_an': 0}
  • id: 60548711
    {'hecke_orbit_code': 67553994444115760, 'n': 5, 'trace_an': 1}
  • id: 60548712
    {'hecke_orbit_code': 67553994444115760, 'n': 6, 'trace_an': 0}
  • id: 60548713
    {'hecke_orbit_code': 67553994444115760, 'n': 7, 'trace_an': 0}
  • id: 60548714
    {'hecke_orbit_code': 67553994444115760, 'n': 8, 'trace_an': 0}
  • id: 60548715
    {'hecke_orbit_code': 67553994444115760, 'n': 9, 'trace_an': 0}
  • id: 60548716
    {'hecke_orbit_code': 67553994444115760, 'n': 10, 'trace_an': 0}
  • id: 60548717
    {'hecke_orbit_code': 67553994444115760, 'n': 11, 'trace_an': 2}
  • id: 60548718
    {'hecke_orbit_code': 67553994444115760, 'n': 12, 'trace_an': 0}
  • id: 60548719
    {'hecke_orbit_code': 67553994444115760, 'n': 13, 'trace_an': -2}
  • id: 60548720
    {'hecke_orbit_code': 67553994444115760, 'n': 14, 'trace_an': 0}
  • id: 60548721
    {'hecke_orbit_code': 67553994444115760, 'n': 15, 'trace_an': 0}
  • id: 60548722
    {'hecke_orbit_code': 67553994444115760, 'n': 16, 'trace_an': 0}
  • id: 60548723
    {'hecke_orbit_code': 67553994444115760, 'n': 17, 'trace_an': -4}
  • id: 60548724
    {'hecke_orbit_code': 67553994444115760, 'n': 18, 'trace_an': 0}
  • id: 60548725
    {'hecke_orbit_code': 67553994444115760, 'n': 19, 'trace_an': 1}
  • id: 60548726
    {'hecke_orbit_code': 67553994444115760, 'n': 20, 'trace_an': 0}
  • id: 60548727
    {'hecke_orbit_code': 67553994444115760, 'n': 21, 'trace_an': 0}
  • id: 60548728
    {'hecke_orbit_code': 67553994444115760, 'n': 22, 'trace_an': 0}
  • id: 60548729
    {'hecke_orbit_code': 67553994444115760, 'n': 23, 'trace_an': -1}
  • id: 60548730
    {'hecke_orbit_code': 67553994444115760, 'n': 24, 'trace_an': 0}
  • id: 60548731
    {'hecke_orbit_code': 67553994444115760, 'n': 25, 'trace_an': -4}
  • id: 60548732
    {'hecke_orbit_code': 67553994444115760, 'n': 26, 'trace_an': 0}
  • id: 60548733
    {'hecke_orbit_code': 67553994444115760, 'n': 27, 'trace_an': 0}
  • id: 60548734
    {'hecke_orbit_code': 67553994444115760, 'n': 28, 'trace_an': 0}
  • id: 60548735
    {'hecke_orbit_code': 67553994444115760, 'n': 29, 'trace_an': -9}
  • id: 60548736
    {'hecke_orbit_code': 67553994444115760, 'n': 30, 'trace_an': 0}
  • id: 60548737
    {'hecke_orbit_code': 67553994444115760, 'n': 31, 'trace_an': -2}
  • id: 60548738
    {'hecke_orbit_code': 67553994444115760, 'n': 32, 'trace_an': 0}
  • id: 60548739
    {'hecke_orbit_code': 67553994444115760, 'n': 33, 'trace_an': 0}
  • id: 60548740
    {'hecke_orbit_code': 67553994444115760, 'n': 34, 'trace_an': 0}
  • id: 60548741
    {'hecke_orbit_code': 67553994444115760, 'n': 35, 'trace_an': 0}
  • id: 60548742
    {'hecke_orbit_code': 67553994444115760, 'n': 36, 'trace_an': 0}
  • id: 60548743
    {'hecke_orbit_code': 67553994444115760, 'n': 37, 'trace_an': 0}
  • id: 60548744
    {'hecke_orbit_code': 67553994444115760, 'n': 38, 'trace_an': 0}
  • id: 60548745
    {'hecke_orbit_code': 67553994444115760, 'n': 39, 'trace_an': 0}
  • id: 60548746
    {'hecke_orbit_code': 67553994444115760, 'n': 40, 'trace_an': 0}
  • id: 60548747
    {'hecke_orbit_code': 67553994444115760, 'n': 41, 'trace_an': 0}
  • id: 60548748
    {'hecke_orbit_code': 67553994444115760, 'n': 42, 'trace_an': 0}
  • id: 60548749
    {'hecke_orbit_code': 67553994444115760, 'n': 43, 'trace_an': -4}
  • id: 60548750
    {'hecke_orbit_code': 67553994444115760, 'n': 44, 'trace_an': 0}
  • id: 60548751
    {'hecke_orbit_code': 67553994444115760, 'n': 45, 'trace_an': 0}
  • id: 60548752
    {'hecke_orbit_code': 67553994444115760, 'n': 46, 'trace_an': 0}
  • id: 60548753
    {'hecke_orbit_code': 67553994444115760, 'n': 47, 'trace_an': 9}
  • id: 60548754
    {'hecke_orbit_code': 67553994444115760, 'n': 48, 'trace_an': 0}
  • id: 60548755
    {'hecke_orbit_code': 67553994444115760, 'n': 49, 'trace_an': -7}
  • id: 60548756
    {'hecke_orbit_code': 67553994444115760, 'n': 50, 'trace_an': 0}
  • id: 60548757
    {'hecke_orbit_code': 67553994444115760, 'n': 51, 'trace_an': 0}
  • id: 60548758
    {'hecke_orbit_code': 67553994444115760, 'n': 52, 'trace_an': 0}
  • id: 60548759
    {'hecke_orbit_code': 67553994444115760, 'n': 53, 'trace_an': -5}
  • id: 60548760
    {'hecke_orbit_code': 67553994444115760, 'n': 54, 'trace_an': 0}
  • id: 60548761
    {'hecke_orbit_code': 67553994444115760, 'n': 55, 'trace_an': 2}
  • id: 60548762
    {'hecke_orbit_code': 67553994444115760, 'n': 56, 'trace_an': 0}
  • id: 60548763
    {'hecke_orbit_code': 67553994444115760, 'n': 57, 'trace_an': 0}
  • id: 60548764
    {'hecke_orbit_code': 67553994444115760, 'n': 58, 'trace_an': 0}
  • id: 60548765
    {'hecke_orbit_code': 67553994444115760, 'n': 59, 'trace_an': -10}
  • id: 60548766
    {'hecke_orbit_code': 67553994444115760, 'n': 60, 'trace_an': 0}
  • id: 60548767
    {'hecke_orbit_code': 67553994444115760, 'n': 61, 'trace_an': 4}
  • id: 60548768
    {'hecke_orbit_code': 67553994444115760, 'n': 62, 'trace_an': 0}
  • id: 60548769
    {'hecke_orbit_code': 67553994444115760, 'n': 63, 'trace_an': 0}
  • id: 60548770
    {'hecke_orbit_code': 67553994444115760, 'n': 64, 'trace_an': 0}
  • id: 60548771
    {'hecke_orbit_code': 67553994444115760, 'n': 65, 'trace_an': -2}
  • id: 60548772
    {'hecke_orbit_code': 67553994444115760, 'n': 66, 'trace_an': 0}
  • id: 60548773
    {'hecke_orbit_code': 67553994444115760, 'n': 67, 'trace_an': -11}
  • id: 60548774
    {'hecke_orbit_code': 67553994444115760, 'n': 68, 'trace_an': 0}
  • id: 60548775
    {'hecke_orbit_code': 67553994444115760, 'n': 69, 'trace_an': 0}
  • id: 60548776
    {'hecke_orbit_code': 67553994444115760, 'n': 70, 'trace_an': 0}
  • id: 60548777
    {'hecke_orbit_code': 67553994444115760, 'n': 71, 'trace_an': 13}
  • id: 60548778
    {'hecke_orbit_code': 67553994444115760, 'n': 72, 'trace_an': 0}
  • id: 60548779
    {'hecke_orbit_code': 67553994444115760, 'n': 73, 'trace_an': 1}
  • id: 60548780
    {'hecke_orbit_code': 67553994444115760, 'n': 74, 'trace_an': 0}
  • id: 60548781
    {'hecke_orbit_code': 67553994444115760, 'n': 75, 'trace_an': 0}
  • id: 60548782
    {'hecke_orbit_code': 67553994444115760, 'n': 76, 'trace_an': 0}
  • id: 60548783
    {'hecke_orbit_code': 67553994444115760, 'n': 77, 'trace_an': 0}
  • id: 60548784
    {'hecke_orbit_code': 67553994444115760, 'n': 78, 'trace_an': 0}
  • id: 60548785
    {'hecke_orbit_code': 67553994444115760, 'n': 79, 'trace_an': -4}
  • id: 60548786
    {'hecke_orbit_code': 67553994444115760, 'n': 80, 'trace_an': 0}
  • id: 60548787
    {'hecke_orbit_code': 67553994444115760, 'n': 81, 'trace_an': 0}
  • id: 60548788
    {'hecke_orbit_code': 67553994444115760, 'n': 82, 'trace_an': 0}
  • id: 60548789
    {'hecke_orbit_code': 67553994444115760, 'n': 83, 'trace_an': 16}
  • id: 60548790
    {'hecke_orbit_code': 67553994444115760, 'n': 84, 'trace_an': 0}
  • id: 60548791
    {'hecke_orbit_code': 67553994444115760, 'n': 85, 'trace_an': -4}
  • id: 60548792
    {'hecke_orbit_code': 67553994444115760, 'n': 86, 'trace_an': 0}
  • id: 60548793
    {'hecke_orbit_code': 67553994444115760, 'n': 87, 'trace_an': 0}
  • id: 60548794
    {'hecke_orbit_code': 67553994444115760, 'n': 88, 'trace_an': 0}
  • id: 60548795
    {'hecke_orbit_code': 67553994444115760, 'n': 89, 'trace_an': 0}
  • id: 60548796
    {'hecke_orbit_code': 67553994444115760, 'n': 90, 'trace_an': 0}
  • id: 60548797
    {'hecke_orbit_code': 67553994444115760, 'n': 91, 'trace_an': 0}
  • id: 60548798
    {'hecke_orbit_code': 67553994444115760, 'n': 92, 'trace_an': 0}
  • id: 60548799
    {'hecke_orbit_code': 67553994444115760, 'n': 93, 'trace_an': 0}
  • id: 60548800
    {'hecke_orbit_code': 67553994444115760, 'n': 94, 'trace_an': 0}
  • id: 60548801
    {'hecke_orbit_code': 67553994444115760, 'n': 95, 'trace_an': 1}
  • id: 60548802
    {'hecke_orbit_code': 67553994444115760, 'n': 96, 'trace_an': 0}
  • id: 60548803
    {'hecke_orbit_code': 67553994444115760, 'n': 97, 'trace_an': -13}
  • id: 60548804
    {'hecke_orbit_code': 67553994444115760, 'n': 98, 'trace_an': 0}
  • id: 60548805
    {'hecke_orbit_code': 67553994444115760, 'n': 99, 'trace_an': 0}
  • id: 60548806
    {'hecke_orbit_code': 67553994444115760, 'n': 100, 'trace_an': 0}