Newform data - 4698.2.a.n

Formats: - HTML - YAML - JSON - 2026-09-21T13:41:20.101445

• 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': 18792, 'analytic_conductor': 37.513718869597525, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [29, 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': [4698, 1, [407, 1945], [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, [0, 1]], [7, [1, 1]], [11, [-3, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58546795189375578, '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': '4698.2.a.n', 'level': 4698, '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, 29], 'level_radical': 174, 'minimal_twist': '522.2.e.d', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{2}+q^{4}-q^{7}+q^{8}+3q^{11}-4q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/4698/n'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4698.2.a', 'trace_display': [1, 0, 0, -1], 'trace_hash': 1894887652413860133, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.011', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '2.042', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '5.146', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.012', 'prec': 7}, 'traces': [1, 1, 0, 1, 0, 0, -1, 1, 0, 0, 3, 0, -4, -1, 0, 1, 0, 0, -7, 0, 0, 3, 0, 0, -5, -4, 0, -1, -1, 0, -4, 1, 0, 0, 0, 0, 2, -7, 0, 0, 0, 0, 11, 3, 0, 0, 0, 0, -6, -5, 0, -4, -6, 0, 0, -1, 0, -1, -12, 0, 5, -4, 0, 1, 0, 0, -16, 0, 0, 0, -15, 0, -4, 2, 0, -7, -3, 0, 8, 0, 0, 0, -6, 0, 0, 11, 0, 3, -6, 0, 4, 0, 0, 0, 0, 0, 8, -6, 0, -5, 6, 0, 17, -4, 0, -6, 6, 0, 8, 0, 0, -1, 12, 0, 0, -1, 0, -12, 0, 0, -2, 5, 0, -4, 0, 0, -4, 1, 0, 0, -9, 0, 7, -16, 0, 0, -6, 0, 2, 0, 0, -15, -12, 0, 0, -4, 0, 2, -6, 0, 8, -7, 0, -3, 0, 0, -13, 8, 0, 0, 0, 0, 5, 0, 0, -6, -15, 0, 3, 0, 0, 11, -6, 0, 5, 3, 0, -6, 6, 0, -16, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 8, 0, -6, -12, 0, -16, -5, 0, 6, 1, 0, 0, 17, 0, -4, -21, 0, 5, -6, 0, 6, 0, 0, 4, 8, 0, 0, 0, 0, -25, -1, 0, 12, 6, 0, 11, 0, 0, -1, 21, 0, 0, -12, 0, 0, -15, 0, -13, -2, 0, 5, 0, 0, 28, -4, 0, 0, -9, 0, 0, -4, 0, 1, -18, 0, -2, 0, 0, -9, 24, 0, 0, 7, 0, -16, 27, 0, 20, 0, 0, -6, -15, 0, -4, 2, 0, 0, -15, 0, 32, -15, 0, -12, 0, 0, -17, 0, 0, -4, 9, 0, 0, 2, 0, -6, 0, 0, -11, 8, 0, -7, 0, 0, -25, -3, 0, 0, 6, 0, 11, -13, 0, 8, -15, 0, -3, 0, 0, 0, 0, 0, 20, 5, 0, 0, 0, 0, 17, -6, 0, -15, 0, 0, 8, 3, 0, 0, -12, 0, 13, 11, 0, -6, -36, 0, 2, 5, 0, 3, -3, 0, 0, -6, 0, 6, 30, 0, 30, -16, 0, 4, 0, 0, -10, 0, 0, 0, 6, 0, -22, 0, 0, 0, 4, 0, 11, 0, 0, 0, -27, 0, 0, -4, 0, 8, -30, 0, 0, -6, 0, -12, 0, 0, 26, -16, 0, -5, 27, 0, 16, 6, 0, 1, 6, 0, 26, 0, 0, 17, 12, 0, 0, -4, 0, -21, 30, 0, -37, 5, 0, -6, 0, 0, -5, 6, 0, 0, 9, 0, 26, 4, 0, 8, 0, 0, -1, 0, 0, 0, 12, 0, 0, -25, 0, -1, 0, 0, 0, 12, 0, 6, 0, 0, 2, 11, 0, 0, -33, 0, 5, -1, 0, 21, 3, 0, 16, 0, 0, -12, 33, 0, 35, 0, 0, -15, -30, 0, -8, -13, 0, -2, 0, 0, 11, 5, 0, 0, 36, 0, 0, 28, 0, -4, 15, 0, 14, 0, 0, -9, -36, 0, 0, 0, 0, -4, -12, 0, 4, 1, 0, -18, 0, 0, 0, -2, 0, 0, 15, 0, 26, -9, 0, 24, 0, 0, -23, 0, 0, 7, 0, 0, 0, -16, 0, 27, -18, 0, 2, 20, 0, 0, 0, 0, 26, -6, 0, -15, 7, 0, -8, -4, 0, 2, -18, 0, -44, 0, 0, -15, -12, 0, 0, 32, 0, -15, 24, 0, 20, -12, 0, 0, 0, 0, -16, -17, 0, 0, 6, 0, -18, -4, 0, 9, -30, 0, 28, 0, 0, 2, -39, 0, 0, -6, 0, 0, 36, 0, -4, -11, 0, 8, 0, 0, -28, -7, 0, 0, 0, 0, 32, -25, 0, -3, -18, 0, 44, 0, 0, 6, 6, 0, 25, 11, 0, -13, 0, 0, 32, 8, 0, -15, 0, 0, 24, -3, 0, 0, 12, 0, 14, 0, 0, 0, -39, 0, -36, 20, 0, 5, 15, 0, 0, 0, 0, 0, 21, 0, -34, 17, 0, -6, 0, 0, 0, -15, 0, 0, 15, 0, -1, 8, 0, 3, 21, 0, -8, 0, 0, -12, 12, 0, 0, 13, 0, 11, 24, 0, -16, -6, 0, -36, 0, 0, 0, 2, 0, 5, 36, 0, -14, 3, 0, -3, -6, 0, -10, 0, 0, -6, 0, 0, 0, 6, 0, 30, 27, 0, -17, 30, 0, -16, 5, 0, 26, 4, 0, 0, 0, 0, 14, -10, 0, 0, -48, 0, -28, 0, 0, 6, 48, 0, 0, -22, 0, 0, -6, 0, 8, 0, 0, 4, 0, 0, 11, 11, 0, 0, -54, 0, -8, 0, 0, -27, 48, 0, -4, 0, 0, -4, -42, 0, 20, 8, 0, -30, 0, 0, -45, 0, 0, -6, 0, 0, 38, -12, 0, 0, -12, 0, -20, 26, 0, -16, -27, 0, 0, -5, 0, 27, -12, 0, 0, 16, 0, 6, 30, 0, 20, 1, 0, 6, 0, 0, -77, 26, 0, 0, -18, 0, 14, 17, 0, 12, -21, 0, -7, 0, 0, -4, 0, 0, 0, -21, 0, 30, 48, 0, 1, -37, 0, 5, 0, 0, 2, -6, 0, 0, 0, 0, -7, -5, 0, 6, 33, 0, 20, 0, 0, 9, -51, 0, 0, 26, 0, 4, 24, 0, 64, 8, 0, 0, 0, 0, -22, -1, 0, 0, 30, 0, 2, 0, 0, 12, -48, 0, 4, 0, 0, -25, 0, 0, 0, -1, 0, 0, 4, 0, 0, 0, 0, 12, 0, 0, 53, 6, 0, 0, 54, 0, -18, 2, 0, 11, 9, 0, 29, 0, 0, -33, 60, 0, -10, 5, 0, -1, 21, 0, 42, 21, 0, 3, 0, 0, -49, 16, 0, 0, 18, 0, 0, -12, 0, 33, 9, 0, 16, 35, 0, 0, -33, 0, 0, -15, 0, -30, 6, 0, -15, -8, 0, -13, 0, 0, -58, -2, 0, 0, 57, 0, -2, 11, 0, 5, 18, 0, -18, 0, 0, 36, -30, 0, 0, 0, 0, 28, 0, 0, -25, -4, 0, 15, 0, 0, 62, 14, 0, 0, 12, 0, 0, -9, 0, -36, 42, 0, 23, 0, 0, 0, -42, 0, 0, -4, 0, -12, -54, 0, -40, 4, 0, 1, 0, 0, -32, -18, 0, 0, 39, 0, -22, 0, 0, -2, 0, 0, -31, 0, 0, 15, 6, 0, 0, 26, 0, -9, 45, 0, 38, 24, 0, 0, 0, 0, -8, -23, 0, 0, 54, 0, -16, 7, 0, 0, 24, 0, 26, 0, 0, -16, -2, 0, -55, 27, 0, -18, 24, 0, 0, 2, 0, 20, 0, 0, -58, 0, 0, 0, -21, 0, -22, 26, 0, -6, -42, 0, 13, -15, 0, 7, -48, 0, 0, -8, 0, -4, -36, 0, 18, 2, 0, -18, 0, 0, -19, -44, 0, 0, 84, 0, 47, -15, 0, -12, 0, 0, 32, 0, 0, 32, 51, 0, 0, -15, 0, 24, 0, 0, -5, 20, 0, -12, 0, 0, -8, 0, 0, 0, 39, 0, -7, -16, 0, -17, 24, 0, -35, 0, 0, 6, 9, 0, 0, -18, 0, -4, 15, 0, -4, 9, 0, -30, 0, 0, 18, 28, 0, 0, -9, 0, -3, 2, 0, -39, 45, 0, 0, 0, 0, -6, 3, 0, 0, 0, 0, 36, 24, 0, -58, -4, 0, -11, 0, 0, 0, 8, 0, 0, 6, 0, -28, -28, 0, -7, 54, 0, 0, 0, 0, 0, -27, 0, 30, 32, 0, -25, -51, 0, 8, -3, 0, -18, 0, 0, -13, 44, 0, 0, 0, 0, 36, 6, 0, 6, -11, 0, -4, 25, 0, 11, -6, 0, 0, -13, 0, 0, 12, 0, -32, 32, 0, 8, 0, 0, 16, -15, 0, 0, 0, 0, 112, 24, 0, -3, 48, 0, 20, 0, 0, 12, 24, 0, 0, 14, 0, 0, -15, 0, -16, 0, 0, -39, 0, 0, 32, -36, 0, 20, 48, 0, -52, 5, 0, 15, 39, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 21, -24, 0, -49, -34, 0, 17, 30, 0, -43, -6, 0, 0, -39, 0, -44, 0, 0, -15, 0, 0, -68, 0, 0, 15, 0, 0, 0, -1, 0, 8, 105, 0, 4, 3, 0, 21, 0, 0, 0, -8, 0, 0, 12, 0, 0, -12, 0, 12, -27, 0, -33, 0, 0, 13, -69, 0, 0, 11, 0, 24, 12, 0, -22, -16, 0, -6, 0, 0, 28, -36, 0, 0, -24, 0, 16, 0, 0, 2, -12, 0, 32, 5, 0, 36, 0, 0, 0, -14, 0, 3, -36, 0, 0, -3, 0, -6, 0, 0, -32, -10, 0, 0, 6, 0, -34, -6, 0, 0, -48, 0, 26, 0, 0, 6, -12, 0, 0, 30, 0, 27, -24, 0, -27, -17, 0, 30, 0, 0, -58, -16, 0, 5, -30, 0, -19, 26, 0, 4, 0, 0, 14, 0, 0, 0, 21, 0, 0, 14, 0, -10, -48, 0, 38, 0, 0, -48, 60, 0, -5, -28, 0, 0, -66, 0, -16, 6, 0, 48, -48, 0, -4, 0, 0, -22, 3, 0, 0, 0, 0, -6, -30, 0, -56, 8, 0, 0, 0, 0, -18, 4, 0, 0, 6, 0, 0, 11, 0, 11, 0, 0, 24, 0, 0, -54, 12, 0, -25, -8, 0, 0, 6, 0, -46, -27, 0, 48, 0, 0, 6, -4, 0, 0, 0, 0, 32, -4, 0, -42, 0, 0, 26, 20, 0, 8, 21, 0, 0, -30, 0, 0, 15, 0, 25, -45, 0, 0, 0, 0, -16, -6, 0, 0, -54, 0, 8, 38, 0, -12, 42, 0, 38, 0, 0, -12, 36, 0, 0, -20, 0, 26, -6, 0, 22, -16, 0, -27, 0, 0, -31, 0, 0, -5, -75, 0, -11, 27, 0, -12, 18, 0, 20, 0, 0, 16, -9, 0, 0, 6, 0, 30, -48, 0, 23, 20, 0, 1, 0, 0, -28, 6, 0, 0, -21, 0, 0, -77, 0, 26, -60, 0, -18, 0, 0, -18, 24, 0, 0, 14, 0, 17, 0, 0, 16, 12, 0, -21, 0, 0, 38, -7, 0, 0, 24, 0, 44, -4, 0, 0, -21, 0, -58, 0, 0, -21, 15, 0, 80, 30, 0, 48, 0, 0, -41, 1, 0, -37, 0, 0, 13, 5, 0, 0, 42, 0, -37, 2, 0, -6, 48, 0, 71, 0, 0, 0, 36, 0, 0, -7, 0, -5, -27, 0, 12, 6, 0, 33, 0, 0, 0, 20, 0, 0, -54, 0, 11, 9, 0, -51, -39, 0, -28, 0, 0, 26, -48, 0, 0, 4, 0, 24, 0, 0, 56, 64, 0, 8, 0, 0, 26, 0, 0, 0, 0, 0, 29, -22, 0, -1, 9, 0, 26, 0, 0, 30, 0, 0, 0, 2, 0, 0, -5, 0, 0, 12, 0, -48, 75, 0, -28, 4, 0, 0, 24, 0, 2, -25, 0, 0, 3, 0, -52, 0, 0, -1, 15, 0, 0, 0, 0, 4, 18, 0, 2, 0, 0, 0, 0, 0, -8, 12, 0, 0, -12, 0, -12, 53, 0, 6, 0, 0, 0, 0, 0, 54, -39, 0, 20, -18, 0, 2, 48, 0, -4, 11, 0, 9, 0, 0, -45, 29, 0, 0, -24, 0, -56, -33, 0, 60, -72, 0, 78, -10, 0, 5, 0, 0, 0, -1, 0, 21, 9, 0, -28, 42, 0, 21, 0, 0, -52, 3, 0, 0, -30, 0, 20, -49, 0, 16, 21, 0, 29, 0, 0, 18, -27, 0, 0, 0, 0, -12, 6, 0, -20, 33, 0, 9, 0, 0, -20, 16, 0, 35, 24, 0, -18, 0, 0, -33, 0, 0, 0, 0, 0, -15, -45, 0, 0, -30, 0, 6, -42, 0, 0, -15, 0, -8, 15, 0, 0, -13, 0, 0, 72, 0, -46, -58, 0, -2, 24, 0, 4, 0, 0, 57, 16, 0, 0, -2, 0, 11, 18, 0, 8, 5, 0, 18, 0, 0, -119, -18, 0, 0, -12, 0, -32, 36, 0, -30, 15, 0, 18, 0, 0, 0, 36, 0, -40, 28, 0, 0, -60, 0, -32, -25, 0, -4, 0, 0, 8, 15, 0, 0, -48, 0, 14, 62, 0, 14, 48, 0, 44, 0, 0, 12, -69, 0, 0, 0, 0, -9, 0, 0, -28, -36, 0, 42, 0, 0, -25, 23, 0, 0, 0, 0, 17, 0, 0, -42, -12, 0, -64, 0, 0, -4, -42, 0, 0, -12, 0, -54, 69, 0, 52, -40, 0, 4, 0, 0, 0, 1, 0, 0, -9, 0, -52, -32, 0, -18, 0, 0, 15, 0, 0, 39, -45, 0, 0, -22, 0, 0, 54, 0, -56, -2, 0, 0, 30, 0, 64, -31, 0, 0, -87, 0, 86, 15, 0, 6, 3, 0, 35, 0, 0, 26, 0, 0, 0, -9, 0, 45, 3, 0, 0, 38, 0, 24, 0, 0, -66, 0, 0, 0, -75, 0, 74, -8, 0, -23, 4, 0, -20, 0, 0, 54, -12, 0, 0, -16, 0, 7, -72, 0, 17, 0, 0, 24, 0, 0, -13, 26, 0, 0, -72, 0, 26, -16, 0, -2, -84, 0, 25, -55, 0, 27, 51, 0, 0, -18, 0, 24, 0, 0, -52, 0, 0, 2, 0, 0, -36, 20, 0, 0, 60, 0, 0, -58, 0, 0, -6, 0, 74, 0, 0, -21, -24, 0, 0, -22, 0, 26, -48, 0, -11, -6, 0, -42, 0, 0, 40, 13, 0, -15, 60, 0, -46, 7, 0, -48, -12, 0, -47, 0, 0, -8, -84, 0, 0, -4, 0, -36, 15, 0, 38, 18, 0, 2, 30, 0, 0, -18, 0, 0, 0, 0, 3, -19, 0, -44, -6, 0, 32, 0, 0, 84, 15, 0, 0, 47, 0, -15, 24, 0, 20, -12, 0, 0, 0, 0, 10, 32, 0, 0, 0, 0, 16, 32, 0, 51, -36, 0, -64, 0, 0, -15, 6, 0, -20, 24, 0, 0, -66, 0, 68, -5, 0, 20, 0, 0, -7, -12, 0, 0, -8, 0, -1, -8, 0, 0, -78, 0, 14, 0, 0, 39, 0, 0, 0, -7, 0, -16, -54, 0, -43, -17, 0, 24, 0, 0, -17, -35, 0, 0, 15, 0, 0, 6, 0, 9, -24, 0, 0, 0, 0, -18, -42, 0, 0, -4, 0, 15, -81, 0, -34, -4, 0, 9, 0, 0, -16, -30, 0, 0, -24, 0, 64, 18, 0, 28, -75, 0, -8, 0, 0, -9, 0, 0, 0, -3, 0, 2, 0, 0, -40, -39, 0, 45, 0, 0, -7, 0, 0, 0, 63, 0, -19, -6, 0, 3, 12, 0, -67, 0, 0, 0, 24, 0, 0, 36, 0, 24, 36, 0, 29, -58, 0, -4, 0, 0, 6, -11, 0, 0, -12, 0, 28, 0, 0, 8, -72, 0, 0, 0, 0, 6, 15, 0, -40, -28, 0, -28, 36, 0, 0, -7, 0, 54, 0, 0, 62, 0, 0, 0, 87, 0, -2, 0, 0, -27, 54, 0, -32, 30, 0, 32, -75, 0, 0, -25, 0, -51, -24, 0, 0, 8, 0, -3, 0, 0, 47, -18, 0, 0, 3, 0, -16, -13, 0, 44, 93, 0, -32, 0, 0, 0, 0, 0, 0, 36, 0, 6, 63, 0, 0, 6, 0, -11, 0, 0, 18, -4, 0, 25, 0, 0, 47, 11, 0, -6, 0, 0, 16, 0, 0, -13, -30, 0, 0, 0, 0, 12, 33, 0, -88, -32, 0, 32, -30, 0, -30, 8, 0, 0, 24, 0, 0, 16, 0, -15, -132, 0, 80, 0, 0, 0, -15, 0, 0, 112, 0, 24, -18, 0, -85, -3, 0, 48, 0, 0, 74, 20, 0, 0, 48, 0, 63, 12, 0, 24, 0, 0, 10, 0, 0, 14, 24, 0, -85, 0, 0, -15, 45, 0, 6, -16, 0, 0, 0, 0, 64, -39, 0, 0, 42, 0, -16, 32, 0, -36, 36, 0, 0, 20, 0, 48, 42, 0, 0, -52, 0, 5, -33, 0, 22, 15, 0, 39, 0, 0, 47, 0, 0, 0, 42, 0, 55, 0, 0, -24, -30, 0, -45, 0, 0, 0, 45, 0, 0, 21, 0, -24, -4, 0, -14, -49, 0, -34, 0, 0, 92, 17, 0, 30, -39, 0, -11, -43, 0, -6, 30, 0, -76, 0, 0, -39, 96, 0, 0, -44, 0, 0, 0, 0, 44, -15, 0, 0, -30, 0, 44, -68, 0, 0, 27, 0, 47, 15, 0, 0, -12, 0, -88, 0, 0, -1, 24, 0, 0, 8, 0, 105, 69, 0, -8, 4, 0, 3, 0, 0, -13, 21, 0, 0, 48, 0, 26, 0, 0, -8, 84, 0, 35, 0, 0, 12, 30, 0, -40, 0, 0, -12, 60, 0, 74, 12, 0, -27, 0, 0, 0, -33, 0, 0, 45, 0, -20, 13, 0, -69, 0, 0, -28, 0, 0, 11, -54, 0, 0, 24, 0, 12, 24, 0, -27, -22, 0, -16, 0, 0, 8, -6, 0, 0, 0, 0, 0, 28, 0, -36, -63, 0, -26, 0, 0, -24, 0, 0, 0, 16, 0, 0, -66, 0, 17, 2, 0, -12, 0, 0, -10, 32, 0, 5, -24, 0, 35, 36, 0, 0, -27, 0, -17, 0, 0, -14, -8, 0, 0, 3, 0, -36, -90, 0, -16, 0, 0, -3, -60, 0, -54, -6, 0, 0, 42, 0, -79, -32, 0, -10, -66, 0, 0, 0, 0, 6, -60, 0, 0, -34, 0, -6, -6, 0, -10, 0, 0, -48, 0, 0, 20, 26, 0, 0, -18, 0, -26, 6, 0, -12, 0, 0, -56, 0, 0, 30, 0, 0, 0, 27, 0, -24, -78, 0, -176, -27, 0, -17, 0, 0, -1, 30, 0, 0, 72, 0, 72, -58, 0, -16, -84, 0, 100, 5, 0, -30, 66, 0, 0, -19, 0, 26, -84, 0, 0, 4, 0, 0, 0, 0, 41, 14, 0, 0, 0, 0, 16, 0, 0, 21, -24, 0, -6, 0, 0, 14, -30, 0, 0, -10, 0, -48, 21, 0, 0, 38, 0, 0, 0, 0, 37, -48, 0, 60, -24, 0, -19, -5, 0, -28, -18, 0, 81, 0, 0, -66, -84, 0, 0, -16, 0, 6, -66, 0, 92, 48, 0, -48, 0, 0, -44, -4, 0, 0, 60, 0, 91, -22, 0, 3, -17, 0, -30, 0, 0, 0, 0, 0, 0, -6, 0, -30, -96, 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], [1], [0], [1], [0], [0], [-1], [1], [0], [0], [3], [0], [-4], [-1], [0], [1], [0], [0], [-7], [0], [0], [3], [0], [0], [-5], [-4], [0], [-1], [-1], [0], [-4], [1], [0], [0], [0], [0], [2], [-7], [0], [0], [0], [0], [11], [3], [0], [0], [0], [0], [-6], [-5], [0], [-4], [-6], [0], [0], [-1], [0], [-1], [-12], [0], [5], [-4], [0], [1], [0], [0], [-16], [0], [0], [0], [-15], [0], [-4], [2], [0], [-7], [-3], [0], [8], [0], [0], [0], [-6], [0], [0], [11], [0], [3], [-6], [0], [4], [0], [0], [0], [0], [0], [8], [-6], [0], [-5]], 'ap': [[1], [0], [0], [-1], [3], [-4], [0], [-7], [0], [-1], [-4], [2], [0], [11], [0], [-6], [-12], [5], [-16], [-15], [-4], [8], [-6], [-6], [8], [6], [17], [6], [8], [12], [-4], [-9], [-6], [2], [-6], [8], [-13], [5], [-15], [-6], [6], [-16], [0], [-4], [-12], [-16], [5], [-25], [6], [11], [21], [-15], [-13], [-9], [-18], [24], [27], [20], [-4], [-15], [32], [9], [-25], [6], [11], [-15], [17], [8], [-36], [2], [-3], [30], [-10], [-22], [11], [-27], [-30], [26], [27], [26], [30], [-37], [9], [26], [-1], [12], [0], [2], [-33], [5], [3], [-30], [11], [36], [14], [-36], [-12], [15], [26], [2], [26], [-18], [-12], [24], [20], [-16], [-30], [-39], [36], [-4], [-28], [32], [-18], [44], [32], [12], [14], [-39], [15], [21], [-34], [-1], [21], [12], [-16], [36], [-10], [27], [26], [14], [-28], [48], [8], [11], [-54], [-4], [-42], [38], [-27], [30], [20], [-18], [14], [-21], [-7], [48], [-7], [33], [20], [-51], [-22], [30], [2], [-48], [53], [54], [29], [21], [-49], [18], [9], [-33], [-58], [57], [18], [-30], [-25], [62], [23], [-42], [-54], [-40], [39], [-22], [-31], [45], [38], [54], [-16], [26], [-58], [-21], [-22], [-42], [-48], [-36], [-19], [47], [32], [39], [-7], [9], [-4], [-9], [45], [3], [-58], [-28], [54], [-27], [-51], [8], [-13], [-4], [12], [48], [20], [24], [-15], [-16], [32], [48], [-52], [39], [-24], [-49], [-43], [12], [-27], [-69], [-22], [32], [-36], [-34], [-48], [26], [-12], [-24], [-58], [-30], [-19], [14], [38], [-66], [-16], [-48], [-4], [3], [-30], [6], [12], [-46], [32], [26], [21], [15], [-16], [-54], [38], [36], [-31], [-75], [18], [20], [-9], [-48], [23], [-28], [-60], [38], [44], [-21], [-58], [-37], [48], [71], [-27], [-54], [11], [-48], [56], [26], [29], [26], [-28], [2], [3], [-52], [2], [-12], [-39], [-4], [-72], [-28], [-52], [-30], [20], [21], [29], [6], [24], [0], [-45], [72], [-46], [18], [8], [36], [-60], [8], [14], [48], [44], [-69], [-28], [-25], [-12], [-64], [69], [-52], [-45], [54], [-87], [86], [3], [35], [3], [-75], [74], [-72], [17], [-13], [-72], [26], [51], [-52], [74], [-46], [-12], [-84], [38], [-6], [32], [15], [20], [-36], [-64], [6], [68], [-7], [-1], [-78], [-54], [-43], [-42], [-81], [-34], [-16], [-24], [-75], [-40], [-7], [63], [-19], [-67], [24], [36], [-12], [-72], [15], [62], [87], [54], [-24], [47], [-16], [93], [47], [-88], [24], [80], [-15], [-18], [-85], [74], [45], [42], [-16], [-33], [47], [42], [45], [92], [30], [-76], [96], [44], [44], [47], [-12], [-88], [24], [69], [-13], [48], [26], [35], [60], [74], [45], [-28], [-54], [8], [-63], [-66], [17], [-10], [-24], [35], [-90], [-79], [-66], [-60], [-10], [20], [-18], [-78], [-1], [-84], [66], [-84], [41], [-24], [21], [-19], [-18], [-84], [-66], [92], [-96]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 58546795189375578, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '4698.2.a.n', 'level': 4698, '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, 14, 13, 14, 16, 11, 12, 17], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [79, 88, 89, 82, 80, 88, 87, 82], 'Nk2': 18792, 'analytic_conductor': 37.513718869597525, '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': [4698, 1, [407, 1945], [1, 1]], 'conrey_index': 1, 'cusp_dim': 787, 'dim': 112, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11], 'hecke_orbit_code': 33559130, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 6, 6, 6, 6, 8, 8, 9, 9], 'label': '4698.2.a', 'level': 4698, '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, 29], 'level_radical': 174, 'mf_dim': 834, 'mf_new_dim': 112, 'num_forms': 38, 'plus_dim': 52, 'prim_orbit_index': 1, 'relative_dim': 112, 'sturm_bound': 1620, 'trace_bound': 7, 'trace_display': [0, 0, 0, 8], 'traces': [112, 0, 0, 112, 0, 0, 8, 0, 0, 0, 0, 0, 8, 0, 0, 112, 0, 0, 20, 0, 0, 12, 0, 0, 136, 0, 0, 8, 0, 0, 32, 0, 0, 12, 0, 0, 32, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 72, 0, 0, 8, 0, 0, -24, 0, 0, 0, 0, 0, -40, 0, 0, 112, 0, 0, -4, 0, 0, 0, 0, 0, -76, 0, 0, 20, 0, 0, 8, 0, 0, 12, 0, 0, -48, 0, 0, 12, 0, 0, -80, 0, 0, -48, 0, 0, -4, 0, 0, 136, 0, 0, -64, 0, 0, -48, 0, 0, -40, 0, 0, 8, 0, 0, -48, 0, 0, 12, 0, 0, 124, 0, 0, 32, 0, 0, 8, 0, 0, 48, 0, 0, -80, 0, 0, 12, 0, 0, -76, 0, 0, 48, 0, 0, 0, 0, 0, 32, 0, 0, 8, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -40, 0, 0, -72, 0, 0, 168, 0, 0, -28, 0, 0, 8, 0, 0, -24, 0, 0, 80, 0, 0, 0, 0, 0, -156, 0, 0, 48, 0, 0, 20, 0, 0, 72, 0, 0, 32, 0, 0, 48, 0, 0, 48, 0, 0, 8, 0, 0, -64, 0, 0, 60, 0, 0, 16, 0, 0, -24, 0, 0, -136, 0, 0, -24, 0, 0, -184, 0, 0, 0, 0, 0, -96, 0, 0, 120, 0, 0, 68, 0, 0, -40, 0, 0, 16, 0, 0, 72, 0, 0, -144, 0, 0, 112, 0, 0, 40, 0, 0, -36, 0, 0, -84, 0, 0, -4, 0, 0, -88, 0, 0, 60, 0, 0, 44, 0, 0, 0, 0, 0, -40, 0, 0, -12, 0, 0, 172, 0, 0, -76, 0, 0, 48, 0, 0, 72, 0, 0, 136, 0, 0, 20, 0, 0, 44, 0, 0, 84, 0, 0, -124, 0, 0, 8, 0, 0, 0, 0, 0, 96, 0, 0, 212, 0, 0, 12, 0, 0, 8, 0, 0, 24, 0, 0, 92, 0, 0, -48, 0, 0, 16, 0, 0, -48, 0, 0, 56, 0, 0, 12, 0, 0, 48, 0, 0, -72, 0, 0, 264, 0, 0, -80, 0, 0, 8, 0, 0, 96, 0, 0, 104, 0, 0, -48, 0, 0, -76, 0, 0, 36, 0, 0, 72, 0, 0, -4, 0, 0, -48, 0, 0, 96, 0, 0, -160, 0, 0, 136, 0, 0, -8, 0, 0, 0, 0, 0, 20, 0, 0, -64, 0, 0, -144, 0, 0, -60, 0, 0, 176, 0, 0, -48, 0, 0, -8, 0, 0, 12, 0, 0, -76, 0, 0, -40, 0, 0, -40, 0, 0, 48, 0, 0, 192, 0, 0, 8, 0, 0, 132, 0, 0, 36, 0, 0, -40, 0, 0, -48, 0, 0, -184, 0, 0, 84, 0, 0, 256, 0, 0, 12, 0, 0, -100, 0, 0, -48, 0, 0, -32, 0, 0, 124, 0, 0, -16, 0, 0, 120, 0, 0, 0, 0, 0, 32, 0, 0, 68, 0, 0, -36, 0, 0, 72, 0, 0, 8, 0, 0, 160, 0, 0, 36, 0, 0, -228, 0, 0, 48, 0, 0, -112, 0, 0, 24, 0, 0, -32, 0, 0, -80, 0, 0, -72, 0, 0, 72, 0, 0, -136, 0, 0, 12, 0, 0, -292, 0, 0, 24, 0, 0, -224, 0, 0, -76, 0, 0, -224, 0, 0, -72, 0, 0, -144, 0, 0, 48, 0, 0, 236, 0, 0, -192, 0, 0, -28, 0, 0, 0, 0, 0, -312, 0, 0, -24, 0, 0, -176, 0, 0, 32, 0, 0, 96, 0, 0, -48, 0, 0, 44, 0, 0, 8, 0, 0, -16, 0, 0, 48, 0, 0, -280, 0, 0, 0, 0, 0, -28, 0, 0, 60, 0, 0, 208, 0, 0, 80, 0, 0, -64, 0, 0, -24, 0, 0, 360, 0, 0, 0, 0, 0, -196, 0, 0, 12, 0, 0, -84, 0, 0, -40, 0, 0, -24, 0, 0, 96, 0, 0, -28, 0, 0, -72, 0, 0, 48, 0, 0, -144, 0, 0, -256, 0, 0, 168, 0, 0, -128, 0, 0, -48, 0, 0, -312, 0, 0, -28, 0, 0, -64, 0, 0, 60, 0, 0, 60, 0, 0, 8, 0, 0, -416, 0, 0, -12, 0, 0, 128, 0, 0, -24, 0, 0, -168, 0, 0, 48, 0, 0, 40, 0, 0, 80, 0, 0, -112, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, -148, 0, 0, 192, 0, 0, -204, 0, 0, -156, 0, 0, -16, 0, 0, 0, 0, 0, -136, 0, 0, 48, 0, 0, 40, 0, 0, -144, 0, 0, -16, 0, 0, 20, 0, 0, -16, 0, 0, -72, 0, 0, -168, 0, 0, 72, 0, 0, -496, 0, 0, 132, 0, 0, 16, 0, 0, 32, 0, 0, -144, 0, 0, 204, 0, 0, 72, 0, 0, 48, 0, 0, 68, 0, 0, -144, 0, 0, -92, 0, 0, 48, 0, 0, -376, 0, 0, -144, 0, 0, 128, 0, 0, 8, 0, 0, -336, 0, 0, -216, 0, 0, 112, 0, 0, -64, 0, 0, -64, 0, 0, 324, 0, 0, -424, 0, 0, 60, 0, 0, 164, 0, 0, 48, 0, 0, 0, 0, 0, 16, 0, 0, 40, 0, 0, -240, 0, 0, -136, 0, 0, -24, 0, 0, 20, 0, 0, -48, 0, 0, -128, 0, 0, -136, 0, 0, -96, 0, 0, 12, 0, 0, 192, 0, 0, -24, 0, 0, 140, 0, 0, 144, 0, 0, -144, 0, 0, -184, 0, 0, 8, 0, 0, 72, 0, 0, -64, 0, 0, 0, 0, 0, 84, 0, 0, 204, 0, 0, -340, 0, 0, -96, 0, 0, -288, 0, 0, 36, 0, 0, 64, 0, 0, 120, 0, 0, -360, 0, 0, -24, 0, 0, 312, 0, 0, 68, 0, 0, -280, 0, 0, 96, 0, 0, 40, 0, 0, -40, 0, 0, -144, 0, 0, 348, 0, 0, -144, 0, 0, 16, 0, 0, -328, 0, 0, 240, 0, 0, 104, 0, 0, 72], '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: 1218891
    {'conductor': 9, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '4698.2.a.n', 'source_level': 4698, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '522.2.e.d', 'target_level': 522, 'twist_class_label': '522.2.e.d', 'twist_class_level': 522, 'twisting_char_label': '9.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1218892
    {'conductor': 9, 'degree': 2, 'multiplicity': 2, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '4698.2.a.n', 'source_level': 4698, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1566.2.e.a', 'target_level': 1566, 'twist_class_label': '522.2.e.d', 'twist_class_level': 522, 'twisting_char_label': '9.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1218893
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '4698.2.a.n', 'source_level': 4698, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '4698.2.a.d', 'target_level': 4698, 'twist_class_label': '522.2.e.d', 'twist_class_level': 522, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1218894
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '4698.2.a.n', 'source_level': 4698, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '4698.2.a.n', 'target_level': 4698, 'twist_class_label': '522.2.e.d', 'twist_class_level': 522, '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: 3678425
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 2}
  • id: 3678426
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 3}
  • id: 3678427
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 5}
  • id: 3678428
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 7}
  • id: 3678429
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 11}
  • id: 3678430
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 13}
  • id: 3678431
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 17}
  • id: 3678432
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 19}
  • id: 3678433
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 23}
  • id: 3678434
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 29}
  • id: 3678435
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 31}
  • id: 3678436
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 37}
  • id: 3678437
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 41}
  • id: 3678438
    {'charpoly_factorization': [[[-11, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 43}
  • id: 3678439
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 47}
  • id: 3678440
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 53}
  • id: 3678441
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 59}
  • id: 3678442
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 61}
  • id: 3678443
    {'charpoly_factorization': [[[16, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 67}
  • id: 3678444
    {'charpoly_factorization': [[[15, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 71}
  • id: 3678445
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 73}
  • id: 3678446
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 79}
  • id: 3678447
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 83}
  • id: 3678448
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 58546795189375578, 'p': 89}
  • id: 3678449
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 58546795189375578, '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': 14, 'label': '4698.2.a.n', 'level': 4698, '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: 58559785
    {'hecke_orbit_code': 58546795189375578, 'n': 1, 'trace_an': 1}
  • id: 58559786
    {'hecke_orbit_code': 58546795189375578, 'n': 2, 'trace_an': 1}
  • id: 58559787
    {'hecke_orbit_code': 58546795189375578, 'n': 3, 'trace_an': 0}
  • id: 58559788
    {'hecke_orbit_code': 58546795189375578, 'n': 4, 'trace_an': 1}
  • id: 58559789
    {'hecke_orbit_code': 58546795189375578, 'n': 5, 'trace_an': 0}
  • id: 58559790
    {'hecke_orbit_code': 58546795189375578, 'n': 6, 'trace_an': 0}
  • id: 58559791
    {'hecke_orbit_code': 58546795189375578, 'n': 7, 'trace_an': -1}
  • id: 58559792
    {'hecke_orbit_code': 58546795189375578, 'n': 8, 'trace_an': 1}
  • id: 58559793
    {'hecke_orbit_code': 58546795189375578, 'n': 9, 'trace_an': 0}
  • id: 58559794
    {'hecke_orbit_code': 58546795189375578, 'n': 10, 'trace_an': 0}
  • id: 58559795
    {'hecke_orbit_code': 58546795189375578, 'n': 11, 'trace_an': 3}
  • id: 58559796
    {'hecke_orbit_code': 58546795189375578, 'n': 12, 'trace_an': 0}
  • id: 58559797
    {'hecke_orbit_code': 58546795189375578, 'n': 13, 'trace_an': -4}
  • id: 58559798
    {'hecke_orbit_code': 58546795189375578, 'n': 14, 'trace_an': -1}
  • id: 58559799
    {'hecke_orbit_code': 58546795189375578, 'n': 15, 'trace_an': 0}
  • id: 58559800
    {'hecke_orbit_code': 58546795189375578, 'n': 16, 'trace_an': 1}
  • id: 58559801
    {'hecke_orbit_code': 58546795189375578, 'n': 17, 'trace_an': 0}
  • id: 58559802
    {'hecke_orbit_code': 58546795189375578, 'n': 18, 'trace_an': 0}
  • id: 58559803
    {'hecke_orbit_code': 58546795189375578, 'n': 19, 'trace_an': -7}
  • id: 58559804
    {'hecke_orbit_code': 58546795189375578, 'n': 20, 'trace_an': 0}
  • id: 58559805
    {'hecke_orbit_code': 58546795189375578, 'n': 21, 'trace_an': 0}
  • id: 58559806
    {'hecke_orbit_code': 58546795189375578, 'n': 22, 'trace_an': 3}
  • id: 58559807
    {'hecke_orbit_code': 58546795189375578, 'n': 23, 'trace_an': 0}
  • id: 58559808
    {'hecke_orbit_code': 58546795189375578, 'n': 24, 'trace_an': 0}
  • id: 58559809
    {'hecke_orbit_code': 58546795189375578, 'n': 25, 'trace_an': -5}
  • id: 58559810
    {'hecke_orbit_code': 58546795189375578, 'n': 26, 'trace_an': -4}
  • id: 58559811
    {'hecke_orbit_code': 58546795189375578, 'n': 27, 'trace_an': 0}
  • id: 58559812
    {'hecke_orbit_code': 58546795189375578, 'n': 28, 'trace_an': -1}
  • id: 58559813
    {'hecke_orbit_code': 58546795189375578, 'n': 29, 'trace_an': -1}
  • id: 58559814
    {'hecke_orbit_code': 58546795189375578, 'n': 30, 'trace_an': 0}
  • id: 58559815
    {'hecke_orbit_code': 58546795189375578, 'n': 31, 'trace_an': -4}
  • id: 58559816
    {'hecke_orbit_code': 58546795189375578, 'n': 32, 'trace_an': 1}
  • id: 58559817
    {'hecke_orbit_code': 58546795189375578, 'n': 33, 'trace_an': 0}
  • id: 58559818
    {'hecke_orbit_code': 58546795189375578, 'n': 34, 'trace_an': 0}
  • id: 58559819
    {'hecke_orbit_code': 58546795189375578, 'n': 35, 'trace_an': 0}
  • id: 58559820
    {'hecke_orbit_code': 58546795189375578, 'n': 36, 'trace_an': 0}
  • id: 58559821
    {'hecke_orbit_code': 58546795189375578, 'n': 37, 'trace_an': 2}
  • id: 58559822
    {'hecke_orbit_code': 58546795189375578, 'n': 38, 'trace_an': -7}
  • id: 58559823
    {'hecke_orbit_code': 58546795189375578, 'n': 39, 'trace_an': 0}
  • id: 58559824
    {'hecke_orbit_code': 58546795189375578, 'n': 40, 'trace_an': 0}
  • id: 58559825
    {'hecke_orbit_code': 58546795189375578, 'n': 41, 'trace_an': 0}
  • id: 58559826
    {'hecke_orbit_code': 58546795189375578, 'n': 42, 'trace_an': 0}
  • id: 58559827
    {'hecke_orbit_code': 58546795189375578, 'n': 43, 'trace_an': 11}
  • id: 58559828
    {'hecke_orbit_code': 58546795189375578, 'n': 44, 'trace_an': 3}
  • id: 58559829
    {'hecke_orbit_code': 58546795189375578, 'n': 45, 'trace_an': 0}
  • id: 58559830
    {'hecke_orbit_code': 58546795189375578, 'n': 46, 'trace_an': 0}
  • id: 58559831
    {'hecke_orbit_code': 58546795189375578, 'n': 47, 'trace_an': 0}
  • id: 58559832
    {'hecke_orbit_code': 58546795189375578, 'n': 48, 'trace_an': 0}
  • id: 58559833
    {'hecke_orbit_code': 58546795189375578, 'n': 49, 'trace_an': -6}
  • id: 58559834
    {'hecke_orbit_code': 58546795189375578, 'n': 50, 'trace_an': -5}
  • id: 58559835
    {'hecke_orbit_code': 58546795189375578, 'n': 51, 'trace_an': 0}
  • id: 58559836
    {'hecke_orbit_code': 58546795189375578, 'n': 52, 'trace_an': -4}
  • id: 58559837
    {'hecke_orbit_code': 58546795189375578, 'n': 53, 'trace_an': -6}
  • id: 58559838
    {'hecke_orbit_code': 58546795189375578, 'n': 54, 'trace_an': 0}
  • id: 58559839
    {'hecke_orbit_code': 58546795189375578, 'n': 55, 'trace_an': 0}
  • id: 58559840
    {'hecke_orbit_code': 58546795189375578, 'n': 56, 'trace_an': -1}
  • id: 58559841
    {'hecke_orbit_code': 58546795189375578, 'n': 57, 'trace_an': 0}
  • id: 58559842
    {'hecke_orbit_code': 58546795189375578, 'n': 58, 'trace_an': -1}
  • id: 58559843
    {'hecke_orbit_code': 58546795189375578, 'n': 59, 'trace_an': -12}
  • id: 58559844
    {'hecke_orbit_code': 58546795189375578, 'n': 60, 'trace_an': 0}
  • id: 58559845
    {'hecke_orbit_code': 58546795189375578, 'n': 61, 'trace_an': 5}
  • id: 58559846
    {'hecke_orbit_code': 58546795189375578, 'n': 62, 'trace_an': -4}
  • id: 58559847
    {'hecke_orbit_code': 58546795189375578, 'n': 63, 'trace_an': 0}
  • id: 58559848
    {'hecke_orbit_code': 58546795189375578, 'n': 64, 'trace_an': 1}
  • id: 58559849
    {'hecke_orbit_code': 58546795189375578, 'n': 65, 'trace_an': 0}
  • id: 58559850
    {'hecke_orbit_code': 58546795189375578, 'n': 66, 'trace_an': 0}
  • id: 58559851
    {'hecke_orbit_code': 58546795189375578, 'n': 67, 'trace_an': -16}
  • id: 58559852
    {'hecke_orbit_code': 58546795189375578, 'n': 68, 'trace_an': 0}
  • id: 58559853
    {'hecke_orbit_code': 58546795189375578, 'n': 69, 'trace_an': 0}
  • id: 58559854
    {'hecke_orbit_code': 58546795189375578, 'n': 70, 'trace_an': 0}
  • id: 58559855
    {'hecke_orbit_code': 58546795189375578, 'n': 71, 'trace_an': -15}
  • id: 58559856
    {'hecke_orbit_code': 58546795189375578, 'n': 72, 'trace_an': 0}
  • id: 58559857
    {'hecke_orbit_code': 58546795189375578, 'n': 73, 'trace_an': -4}
  • id: 58559858
    {'hecke_orbit_code': 58546795189375578, 'n': 74, 'trace_an': 2}
  • id: 58559859
    {'hecke_orbit_code': 58546795189375578, 'n': 75, 'trace_an': 0}
  • id: 58559860
    {'hecke_orbit_code': 58546795189375578, 'n': 76, 'trace_an': -7}
  • id: 58559861
    {'hecke_orbit_code': 58546795189375578, 'n': 77, 'trace_an': -3}
  • id: 58559862
    {'hecke_orbit_code': 58546795189375578, 'n': 78, 'trace_an': 0}
  • id: 58559863
    {'hecke_orbit_code': 58546795189375578, 'n': 79, 'trace_an': 8}
  • id: 58559864
    {'hecke_orbit_code': 58546795189375578, 'n': 80, 'trace_an': 0}
  • id: 58559865
    {'hecke_orbit_code': 58546795189375578, 'n': 81, 'trace_an': 0}
  • id: 58559866
    {'hecke_orbit_code': 58546795189375578, 'n': 82, 'trace_an': 0}
  • id: 58559867
    {'hecke_orbit_code': 58546795189375578, 'n': 83, 'trace_an': -6}
  • id: 58559868
    {'hecke_orbit_code': 58546795189375578, 'n': 84, 'trace_an': 0}
  • id: 58559869
    {'hecke_orbit_code': 58546795189375578, 'n': 85, 'trace_an': 0}
  • id: 58559870
    {'hecke_orbit_code': 58546795189375578, 'n': 86, 'trace_an': 11}
  • id: 58559871
    {'hecke_orbit_code': 58546795189375578, 'n': 87, 'trace_an': 0}
  • id: 58559872
    {'hecke_orbit_code': 58546795189375578, 'n': 88, 'trace_an': 3}
  • id: 58559873
    {'hecke_orbit_code': 58546795189375578, 'n': 89, 'trace_an': -6}
  • id: 58559874
    {'hecke_orbit_code': 58546795189375578, 'n': 90, 'trace_an': 0}
  • id: 58559875
    {'hecke_orbit_code': 58546795189375578, 'n': 91, 'trace_an': 4}
  • id: 58559876
    {'hecke_orbit_code': 58546795189375578, 'n': 92, 'trace_an': 0}
  • id: 58559877
    {'hecke_orbit_code': 58546795189375578, 'n': 93, 'trace_an': 0}
  • id: 58559878
    {'hecke_orbit_code': 58546795189375578, 'n': 94, 'trace_an': 0}
  • id: 58559879
    {'hecke_orbit_code': 58546795189375578, 'n': 95, 'trace_an': 0}
  • id: 58559880
    {'hecke_orbit_code': 58546795189375578, 'n': 96, 'trace_an': 0}
  • id: 58559881
    {'hecke_orbit_code': 58546795189375578, 'n': 97, 'trace_an': 8}
  • id: 58559882
    {'hecke_orbit_code': 58546795189375578, 'n': 98, 'trace_an': -6}
  • id: 58559883
    {'hecke_orbit_code': 58546795189375578, 'n': 99, 'trace_an': 0}
  • id: 58559884
    {'hecke_orbit_code': 58546795189375578, 'n': 100, 'trace_an': -5}