Newform data - 1728.2.a.a

Formats: - HTML - YAML - JSON - 2026-08-25T14:47:23.807148

• 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': 6912, 'analytic_conductor': 13.79814946927725, 'analytic_rank': 0, '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': [1728, 1, [703, 325, 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, [4, 1]], [7, [3, 1]], [11, [4, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 33556160, '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': '1728.2.a.a', 'level': 1728, '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': '216.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-4q^{5}-3q^{7}-4q^{11}-q^{13}-4q^{17}+\\cdots', 'related_objects': ['EllipticCurve/Q/1728/a'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1728.2.a', 'trace_display': [0, 0, -4, -3], 'trace_hash': 1047030470155780212, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.042', 'prec': 7}, {'__RealLiteral__': 0, 'data': '0.992', 'prec': 10}, {'__RealLiteral__': 0, 'data': '0.137', 'prec': 10}, {'__RealLiteral__': 0, 'data': '1.974', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.471', 'prec': 10}, {'__RealLiteral__': 0, 'data': '4.902', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.017', 'prec': 7}, 'traces': [1, 0, 0, 0, -4, 0, -3, 0, 0, 0, -4, 0, -1, 0, 0, 0, -4, 0, 1, 0, 0, 0, 4, 0, 11, 0, 0, 0, 0, 0, -4, 0, 0, 0, 12, 0, 9, 0, 0, 0, 0, 0, 8, 0, 0, 0, -12, 0, 2, 0, 0, 0, 8, 0, 16, 0, 0, 0, -4, 0, 5, 0, 0, 0, 4, 0, -11, 0, 0, 0, 8, 0, 1, 0, 0, 0, 12, 0, -5, 0, 0, 0, -8, 0, 16, 0, 0, 0, 12, 0, 3, 0, 0, 0, -4, 0, 5, 0, 0, 0, 0, 0, 1, 0, 0, 0, -12, 0, 14, 0, 0, 0, 12, 0, -16, 0, 0, 0, 12, 0, 5, 0, 0, 0, -24, 0, 4, 0, 0, 0, 16, 0, -3, 0, 0, 0, -12, 0, -9, 0, 0, 0, 4, 0, 0, 0, 0, 0, -8, 0, -1, 0, 0, 0, 16, 0, 2, 0, 0, 0, -12, 0, 15, 0, 0, 0, -12, 0, -12, 0, 0, 0, 0, 0, -33, 0, 0, 0, -24, 0, -21, 0, 0, 0, -36, 0, 16, 0, 0, 0, 12, 0, 23, 0, 0, 0, 12, 0, 25, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, -13, 0, 0, 0, -32, 0, 12, 0, 0, 0, 4, 0, 4, 0, 0, 0, 24, 0, -10, 0, 0, 0, 16, 0, 48, 0, 0, 0, 8, 0, -15, 0, 0, 0, -8, 0, -1, 0, 0, 0, 16, 0, -16, 0, 0, 0, 8, 0, -27, 0, 0, 0, -8, 0, -32, 0, 0, 0, 4, 0, -25, 0, 0, 0, -44, 0, -10, 0, 0, 0, 32, 0, 16, 0, 0, 0, 0, 0, -1, 0, 0, 0, -12, 0, 16, 0, 0, 0, -4, 0, -24, 0, 0, 0, -20, 0, 0, 0, 0, 0, 12, 0, 3, 0, 0, 0, 24, 0, 0, 0, 0, 0, -4, 0, -11, 0, 0, 0, 36, 0, -17, 0, 0, 0, 44, 0, -3, 0, 0, 0, 16, 0, 15, 0, 0, 0, 24, 0, 33, 0, 0, 0, 8, 0, -32, 0, 0, 0, 12, 0, -18, 0, 0, 0, -4, 0, -23, 0, 0, 0, -24, 0, 1, 0, 0, 0, 0, 0, -11, 0, 0, 0, 0, 0, -48, 0, 0, 0, -4, 0, -16, 0, 0, 0, 20, 0, -14, 0, 0, 0, 24, 0, 4, 0, 0, 0, -36, 0, -39, 0, 0, 0, 12, 0, 32, 0, 0, 0, 12, 0, -17, 0, 0, 0, -44, 0, -15, 0, 0, 0, -28, 0, -14, 0, 0, 0, 4, 0, 36, 0, 0, 0, -8, 0, -48, 0, 0, 0, 4, 0, 0, 0, 0, 0, -12, 0, 38, 0, 0, 0, -28, 0, -19, 0, 0, 0, 12, 0, 33, 0, 0, 0, -32, 0, 11, 0, 0, 0, -40, 0, -9, 0, 0, 0, -20, 0, -11, 0, 0, 0, -12, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 12, 0, -3, 0, 0, 0, -4, 0, 48, 0, 0, 0, -28, 0, 29, 0, 0, 0, 16, 0, -7, 0, 0, 0, 0, 0, 48, 0, 0, 0, -8, 0, -9, 0, 0, 0, -56, 0, 7, 0, 0, 0, 0, 0, 15, 0, 0, 0, -28, 0, -8, 0, 0, 0, 32, 0, -48, 0, 0, 0, 28, 0, 33, 0, 0, 0, 44, 0, -13, 0, 0, 0, 24, 0, -32, 0, 0, 0, -28, 0, -4, 0, 0, 0, 40, 0, -48, 0, 0, 0, 0, 0, 10, 0, 0, 0, -20, 0, 5, 0, 0, 0, 12, 0, -35, 0, 0, 0, 36, 0, 17, 0, 0, 0, -36, 0, 41, 0, 0, 0, -36, 0, 7, 0, 0, 0, -16, 0, -2, 0, 0, 0, 40, 0, 24, 0, 0, 0, 32, 0, 16, 0, 0, 0, -24, 0, -64, 0, 0, 0, 24, 0, 13, 0, 0, 0, 12, 0, 0, 0, 0, 0, -20, 0, 19, 0, 0, 0, 44, 0, -15, 0, 0, 0, -16, 0, 48, 0, 0, 0, -8, 0, 40, 0, 0, 0, 36, 0, 0, 0, 0, 0, 36, 0, 9, 0, 0, 0, 0, 0, 7, 0, 0, 0, -16, 0, -16, 0, 0, 0, -8, 0, -3, 0, 0, 0, 0, 0, 12, 0, 0, 0, -32, 0, -2, 0, 0, 0, 44, 0, -32, 0, 0, 0, 4, 0, 32, 0, 0, 0, 36, 0, 3, 0, 0, 0, 4, 0, 31, 0, 0, 0, -4, 0, -42, 0, 0, 0, 4, 0, 47, 0, 0, 0, 24, 0, -44, 0, 0, 0, 0, 0, -32, 0, 0, 0, -8, 0, -7, 0, 0, 0, -36, 0, -5, 0, 0, 0, -16, 0, 48, 0, 0, 0, -4, 0, 48, 0, 0, 0, -40, 0, -40, 0, 0, 0, -60, 0, 8, 0, 0, 0, 12, 0, -25, 0, 0, 0, -20, 0, 35, 0, 0, 0, -8, 0, 48, 0, 0, 0, 24, 0, -29, 0, 0, 0, 48, 0, -15, 0, 0, 0, 36, 0, 1, 0, 0, 0, 24, 0, 27, 0, 0, 0, -44, 0, 0, 0, 0, 0, 20, 0, 11, 0, 0, 0, 72, 0, 33, 0, 0, 0, -28, 0, 7, 0, 0, 0, 56, 0, -12, 0, 0, 0, -12, 0, 96, 0, 0, 0, 0, 0, -32, 0, 0, 0, 84, 0, 5, 0, 0, 0, 16, 0, 32, 0, 0, 0, -48, 0, -20, 0, 0, 0, -8, 0, 99, 0, 0, 0, -40, 0, 2, 0, 0, 0, -64, 0, 51, 0, 0, 0, -12, 0, 0, 0, 0, 0, 36, 0, -1, 0, 0, 0, -36, 0, -48, 0, 0, 0, 36, 0, -15, 0, 0, 0, -92, 0, 59, 0, 0, 0, -12, 0, 27, 0, 0, 0, -24, 0, -48, 0, 0, 0, 12, 0, -48, 0, 0, 0, 32, 0, 25, 0, 0, 0, -100, 0, 26, 0, 0, 0, -12, 0, 16, 0, 0, 0, 8, 0, 29, 0, 0, 0, 20, 0, 0, 0, 0, 0, 24, 0, -30, 0, 0, 0, 0, 0, 5, 0, 0, 0, 20, 0, 37, 0, 0, 0, -20, 0, -31, 0, 0, 0, 24, 0, 16, 0, 0, 0, -40, 0, 16, 0, 0, 0, 52, 0, 3, 0, 0, 0, -60, 0, -29, 0, 0, 0, -20, 0, 34, 0, 0, 0, 0, 0, 88, 0, 0, 0, 8, 0, -48, 0, 0, 0, -48, 0, 35, 0, 0, 0, -56, 0, 6, 0, 0, 0, -12, 0, -6, 0, 0, 0, 48, 0, -16, 0, 0, 0, 24, 0, 0, 0, 0, 0, -16, 0, -37, 0, 0, 0, -4, 0, -45, 0, 0, 0, 8, 0, 13, 0, 0, 0, -4, 0, -96, 0, 0, 0, 44, 0, -45, 0, 0, 0, 40, 0, -36, 0, 0, 0, -12, 0, 25, 0, 0, 0, -12, 0, 5, 0, 0, 0, 24, 0, -64, 0, 0, 0, 36, 0, 11, 0, 0, 0, -132, 0, 48, 0, 0, 0, -28, 0, 36, 0, 0, 0, -60, 0, 0, 0, 0, 0, 20, 0, -32, 0, 0, 0, -56, 0, 19, 0, 0, 0, 60, 0, -32, 0, 0, 0, 0, 0, 59, 0, 0, 0, -4, 0, 32, 0, 0, 0, -24, 0, 22, 0, 0, 0, 4, 0, 23, 0, 0, 0, 4, 0, 43, 0, 0, 0, -4, 0, -48, 0, 0, 0, 0, 0, -35, 0, 0, 0, 72, 0, -64, 0, 0, 0, 48, 0, -5, 0, 0, 0, 64, 0, 63, 0, 0, 0, 0, 0, -11, 0, 0, 0, -24, 0, -1, 0, 0, 0, 12, 0, -32, 0, 0, 0, -28, 0, 5, 0, 0, 0, 108, 0, 39, 0, 0, 0, 60, 0, -53, 0, 0, 0, -20, 0, -48, 0, 0, 0, 0, 0, 32, 0, 0, 0, -16, 0, -49, 0, 0, 0, 88, 0, -4, 0, 0, 0, 24, 0, -32, 0, 0, 0, -36, 0, -1, 0, 0, 0, 20, 0, -16, 0, 0, 0, 8, 0, -69, 0, 0, 0, 100, 0, -16, 0, 0, 0, -20, 0, 0, 0, 0, 0, 24, 0, 44, 0, 0, 0, 24, 0, 96, 0, 0, 0, -36, 0, -29, 0, 0, 0, 40, 0, 1, 0, 0, 0, 12, 0, -75, 0, 0, 0, -16, 0, 36, 0, 0, 0, 20, 0, -128, 0, 0, 0, -48, 0, 32, 0, 0, 0, -64, 0, -14, 0, 0, 0, 0, 0, 20, 0, 0, 0, -12, 0, -11, 0, 0, 0, 12, 0, 0, 0, 0, 0, -12, 0, -64, 0, 0, 0, 4, 0, -63, 0, 0, 0, -4, 0, -9, 0, 0, 0, 48, 0, 8, 0, 0, 0, 12, 0, 48, 0, 0, 0, -12, 0, 68, 0, 0, 0, -44, 0, 39, 0, 0, 0, -44, 0, -45, 0, 0, 0, -4, 0, 5, 0, 0, 0, -28, 0, 16, 0, 0, 0, -8, 0, -5, 0, 0, 0, 96, 0, 48, 0, 0, 0, 40, 0, -48, 0, 0, 0, 0, 0, -8, 0, 0, 0, -24, 0, 55, 0, 0, 0, 36, 0, -23, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44, 0, -17, 0, 0, 0, -12, 0, 65, 0, 0, 0, -36, 0, -48, 0, 0, 0, -52, 0, -12, 0, 0, 0, -12, 0, -5, 0, 0, 0, 0, 0, -5, 0, 0, 0, -8, 0, 32, 0, 0, 0, -16, 0, -96, 0, 0, 0, -72, 0, 72, 0, 0, 0, 0, 0, 30, 0, 0, 0, -12, 0, 30, 0, 0, 0, 68, 0, -35, 0, 0, 0, -36, 0, 16, 0, 0, 0, 36, 0, -29, 0, 0, 0, 24, 0, 32, 0, 0, 0, -48, 0, 32, 0, 0, 0, 0, 0, 32, 0, 0, 0, -32, 0, -144, 0, 0, 0, -20, 0, -4, 0, 0, 0, 68, 0, 10, 0, 0, 0, 4, 0, 13, 0, 0, 0, -12, 0, -49, 0, 0, 0, -24, 0, -121, 0, 0, 0, 4, 0, -41, 0, 0, 0, 12, 0, 45, 0, 0, 0, 12, 0, 21, 0, 0, 0, 40, 0, 16, 0, 0, 0, -16, 0, -64, 0, 0, 0, -44, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -40, 0, -56, 0, 0, 0, -8, 0, 3, 0, 0, 0, 4, 0, -96, 0, 0, 0, -108, 0, 5, 0, 0, 0, -132, 0, -29, 0, 0, 0, -4, 0, -74, 0, 0, 0, -48, 0, -53, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 48, 0, 0, 0, 88, 0, -2, 0, 0, 0, 12, 0, 17, 0, 0, 0, 12, 0, 34, 0, 0, 0, -60, 0, -48, 0, 0, 0, -24, 0, -38, 0, 0, 0, 72, 0, 9, 0, 0, 0, 80, 0, 18, 0, 0, 0, -20, 0, 48, 0, 0, 0, -44, 0, 11, 0, 0, 0, 16, 0, -44, 0, 0, 0, 92, 0, 48, 0, 0, 0, 24, 0, 5, 0, 0, 0, -32, 0, 21, 0, 0, 0, -56, 0, 96, 0, 0, 0, 48, 0, 25, 0, 0, 0, -4, 0, -77, 0, 0, 0, -68, 0, -31, 0, 0, 0, -72, 0, -43, 0, 0, 0, -12, 0, 0, 0, 0, 0, -28, 0, -20, 0, 0, 0, 44, 0, 75, 0, 0, 0, -4, 0, 0, 0, 0, 0, 48, 0, -32, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, -30, 0, 0, 0, 8, 0, 30, 0, 0, 0, 0, 0, 16, 0, 0, 0, 32, 0, 5, 0, 0, 0, 64, 0, 1, 0, 0, 0, 72, 0, 1, 0, 0, 0, -96, 0, 96, 0, 0, 0, -36, 0, -55, 0, 0, 0, -48, 0, -48, 0, 0, 0, 56, 0, 1, 0, 0, 0, 84, 0, -13, 0, 0, 0, 64, 0, -52, 0, 0, 0, 32, 0, -96, 0, 0, 0, 0, 0, -45, 0, 0, 0, -16, 0, 14, 0, 0, 0, -96, 0, 3, 0, 0, 0, -12, 0, -41, 0, 0, 0, -12, 0, 144, 0, 0, 0, 32, 0, -2, 0, 0, 0, 156, 0, 48, 0, 0, 0, 36, 0, 49, 0, 0, 0, -20, 0, 0, 0, 0, 0, -12, 0, -48, 0, 0, 0, 48, 0, 14, 0, 0, 0, -88, 0, 44, 0, 0, 0, -16, 0, 47, 0, 0, 0, -68, 0, -10, 0, 0, 0, 12, 0, -48, 0, 0, 0, 12, 0, -48, 0, 0, 0, 68, 0, 16, 0, 0, 0, 84, 0, 62, 0, 0, 0, 0, 0, -15, 0, 0, 0, -92, 0, 96, 0, 0, 0, 36, 0, 53, 0, 0, 0, 60, 0, 43, 0, 0, 0, 40, 0, 76, 0, 0, 0, 12, 0, 0, 0, 0, 0, 40, 0, 112, 0, 0, 0, -16, 0, 21, 0, 0, 0, 56, 0, -48, 0, 0, 0, 12, 0, 0, 0, 0, 0, -36, 0, -24, 0, 0, 0, -36, 0, -16, 0, 0, 0, -100, 0, -9, 0, 0, 0, -144, 0, 25, 0, 0, 0, -32, 0, -72, 0, 0, 0, -20, 0, 97, 0, 0, 0, -60, 0, 32, 0, 0, 0, -72, 0, -1, 0, 0, 0, 132, 0, -64, 0, 0, 0, 20, 0, 0, 0, 0, 0, 48, 0, -33, 0, 0, 0, 48, 0, -16, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 45, 0, 0, 0, 12, 0, -4, 0, 0, 0, 24, 0, -55, 0, 0, 0, 36, 0, 33, 0, 0, 0, 64, 0, -58, 0, 0, 0, -152, 0, 36, 0, 0, 0, 0, 0, 41, 0, 0, 0, -12, 0, 5, 0, 0, 0, -24, 0, 112, 0, 0, 0, 24, 0, 75, 0, 0, 0, 76, 0, 51, 0, 0, 0, 52, 0, 0, 0, 0, 0, 24, 0, 48, 0, 0, 0, -16, 0, -48, 0, 0, 0, 20, 0, -42, 0, 0, 0, -132, 0, 80, 0, 0, 0, -24, 0, 21, 0, 0, 0, 28, 0, 9, 0, 0, 0, 36, 0, 128, 0, 0, 0, 4, 0, -15, 0, 0, 0, -24, 0, -55, 0, 0, 0, -64, 0, -60, 0, 0, 0, -48, 0, 25, 0, 0, 0, 20, 0, 160, 0, 0, 0, -8, 0, -59, 0, 0, 0, 36, 0, 0, 0, 0, 0, -80, 0, 4, 0, 0, 0, -80, 0, 0, 0, 0, 0, 24, 0, 55, 0, 0, 0, -72, 0, -16, 0, 0, 0, 44, 0, 13, 0, 0, 0, 48, 0, -99, 0, 0, 0, -24, 0, 20, 0, 0, 0, -16, 0, 48, 0, 0, 0, 76, 0, -48, 0, 0, 0, 0, 0, -37, 0, 0, 0, -24, 0, 15, 0, 0, 0, 36, 0, -99, 0, 0, 0, -12, 0, 96, 0, 0, 0, 16, 0, -96, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 61, 0, 0, 0, 56, 0, -23, 0, 0, 0, -36, 0, -144, 0, 0, 0, 40, 0, 55, 0, 0, 0, 0, 0, 54, 0, 0, 0, 52, 0, 32, 0, 0, 0, -32, 0, 75, 0, 0, 0, 32, 0, -48, 0, 0, 0, -16, 0, -83, 0, 0, 0, 12, 0, 31, 0, 0, 0, -12, 0, -64, 0, 0, 0, 4, 0, 69, 0, 0, 0, 32, 0, 11, 0, 0, 0, -36, 0, 0, 0, 0, 0, -192, 0, -25, 0, 0, 0, 96, 0, 7, 0, 0, 0, 16, 0, 48, 0, 0, 0, -12, 0, 112, 0, 0, 0, -24, 0, -3, 0, 0, 0, -116, 0, 53, 0, 0, 0, 60, 0, 40, 0, 0, 0, 72, 0, -32, 0, 0, 0, -64, 0, -64, 0, 0, 0, 0, 0, -9, 0, 0, 0, 28, 0, -33, 0, 0, 0, 60, 0, 33, 0, 0, 0, -72, 0, -31, 0, 0, 0, 72, 0, 0, 0, 0, 0, -8, 0, 60, 0, 0, 0, -132, 0, 67, 0, 0, 0, 0, 0, 95, 0, 0, 0, -84, 0, -2, 0, 0, 0, -64, 0, 32, 0, 0, 0, -36, 0, 9, 0, 0, 0, 36, 0, -63, 0, 0, 0, -60, 0, 1, 0, 0, 0, 4, 0, 15, 0, 0, 0, 12, 0, 154, 0, 0, 0, 84, 0, 40, 0, 0, 0, -28, 0, 48, 0, 0, 0, -16, 0, 13, 0, 0, 0, 0, 0, 34, 0, 0, 0, -48, 0, 0, 0, 0, 0, -48, 0, -64, 0, 0, 0, -60, 0, -44, 0, 0, 0, -60, 0, 48, 0, 0, 0, 32, 0, 42, 0, 0, 0, 20, 0, 112, 0, 0, 0, -40, 0, -68, 0, 0, 0, 32, 0, -61, 0, 0, 0, -72, 0, 103, 0, 0, 0, -72, 0, 11, 0, 0, 0, 0, 0, -128, 0, 0, 0, -60, 0, -12, 0, 0, 0, 132, 0, -32, 0, 0, 0, -8, 0, -46, 0, 0, 0, -40, 0, 48, 0, 0, 0, 76, 0, -112, 0, 0, 0, 108, 0, -1, 0, 0, 0, -132, 0, 81, 0, 0, 0, 20, 0, 117, 0, 0, 0, -60, 0, -1, 0, 0, 0, 48, 0, -96, 0, 0, 0, 84, 0, -88, 0, 0, 0, 52, 0, 23, 0, 0, 0, -8, 0, 32, 0, 0, 0, 0, 0, -4, 0, 0, 0, 104, 0, -96, 0, 0, 0, -20, 0, 0, 0, 0, 0, 128, 0, -38, 0, 0, 0, 16, 0, -45, 0, 0, 0, 68, 0, 0, 0, 0, 0, -36, 0, 112, 0, 0, 0, 16, 0, 0, 0, 0, 0, 16, 0, 51, 0, 0, 0, -24, 0, 106, 0, 0, 0, 64, 0, -16, 0, 0, 0, -52, 0, -160, 0, 0, 0, -72, 0, 24, 0, 0, 0, 132, 0, 10, 0, 0, 0, 100, 0, 2, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 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], [-4], [0], [-3], [0], [0], [0], [-4], [0], [-1], [0], [0], [0], [-4], [0], [1], [0], [0], [0], [4], [0], [11], [0], [0], [0], [0], [0], [-4], [0], [0], [0], [12], [0], [9], [0], [0], [0], [0], [0], [8], [0], [0], [0], [-12], [0], [2], [0], [0], [0], [8], [0], [16], [0], [0], [0], [-4], [0], [5], [0], [0], [0], [4], [0], [-11], [0], [0], [0], [8], [0], [1], [0], [0], [0], [12], [0], [-5], [0], [0], [0], [-8], [0], [16], [0], [0], [0], [12], [0], [3], [0], [0], [0], [-4], [0], [5], [0], [0], [0]], 'ap': [[0], [0], [-4], [-3], [-4], [-1], [-4], [1], [4], [0], [-4], [9], [0], [8], [-12], [8], [-4], [5], [-11], [8], [1], [-5], [-8], [12], [5], [0], [1], [-12], [14], [12], [4], [16], [-12], [-9], [-8], [-1], [2], [15], [-12], [0], [-24], [-21], [12], [23], [12], [25], [-13], [4], [24], [-10], [16], [8], [-15], [16], [8], [-8], [4], [-25], [-10], [32], [16], [-12], [0], [12], [3], [24], [-17], [-3], [24], [33], [8], [12], [-23], [1], [-11], [0], [-4], [-14], [24], [-39], [12], [-17], [-28], [-14], [36], [-8], [4], [38], [-28], [-19], [12], [-40], [-11], [-12], [0], [36], [12], [-28], [29], [-9], [7], [-28], [32], [28], [33], [-13], [-28], [40], [0], [10], [5], [-35], [36], [17], [7], [40], [24], [32], [-24], [24], [13], [19], [44], [-16], [40], [36], [7], [-8], [12], [-2], [-32], [4], [3], [31], [-4], [47], [24], [-7], [-16], [-40], [-40], [12], [-25], [-20], [35], [24], [1], [24], [27], [-44], [33], [-28], [7], [56], [5], [16], [-20], [-40], [51], [-12], [36], [-36], [59], [-12], [-24], [12], [25], [26], [29], [20], [24], [-30], [20], [37], [-31], [-40], [16], [-60], [-29], [34], [35], [-56], [6], [-12], [48], [24], [-37], [-45], [13], [-12], [25], [24], [11], [-28], [-60], [20], [19], [59], [-4], [-24], [4], [23], [43], [-35], [48], [-24], [-1], [12], [-28], [5], [39], [60], [-53], [-20], [-16], [-49], [-4], [-20], [24], [24], [-29], [36], [-48], [20], [-12], [-11], [12], [-12], [-63], [-4], [-9], [8], [68], [-44], [-45], [-4], [5], [-28], [-8], [40], [-24], [-23], [-17], [65], [-36], [-52], [-5], [0], [32], [-16], [30], [-12], [68], [-35], [-36], [36], [-29], [32], [0], [10], [13], [-12], [-49], [21], [40], [16], [-44], [-40], [-56], [4], [5], [-29], [-74], [-53], [-2], [17], [12], [34], [-38], [80], [-44], [-44], [-32], [25], [-77], [-68], [-31], [-72], [-43], [-28], [-4], [48], [40], [0], [-30], [32], [5], [-36], [-48], [1], [-13], [64], [-52], [32], [-45], [14], [-12], [-41], [32], [49], [-12], [48], [-16], [47], [-68], [-10], [12], [84], [62], [36], [53], [43], [40], [76], [40], [21], [-24], [-72], [-20], [-60], [-1], [48], [-33], [48], [-48], [24], [-55], [36], [-58], [36], [41], [-12], [24], [75], [-16], [20], [-42], [80], [-24], [28], [-15], [-55], [-64], [-60], [25], [20], [-8], [-80], [-80], [24], [13], [48], [-24], [76], [-37], [15], [36], [61], [55], [52], [75], [32], [-16], [-83], [31], [-36], [96], [7], [-24], [53], [60], [-64], [-33], [-72], [-31], [72], [60], [67], [95], [-84], [-2], [-64], [-36], [-63], [-60], [1], [15], [84], [40], [-16], [34], [-48], [-44], [32], [-40], [-68], [-61], [-72], [103], [-60], [-46], [-40], [76], [-1], [81], [20], [84], [23], [0], [104], [-20], [-38], [68], [16], [106], [64], [-52], [-72], [24], [16]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 33556160, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '1728.2.a.a', 'level': 1728, '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': [7, 9, 9, 7], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [17, 18, 18, 18], 'ALdims_old': [54, 57, 57, 53], 'Nk2': 6912, 'analytic_conductor': 13.79814946927725, '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': [1728, 1, [703, 325, 1217], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 253, 'dim': 32, 'eis_dim': 71, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11], 'hecke_orbit_code': 33556160, '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, 1, 1, 1, 1, 1, 1, 2, 2], 'label': '1728.2.a', 'level': 1728, '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': 324, 'mf_new_dim': 32, 'num_forms': 30, 'plus_dim': 14, 'prim_orbit_index': 1, 'relative_dim': 32, 'sturm_bound': 576, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 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: 796290
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1728.2.a.a', 'source_level': 1728, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '216.2.a.a', 'target_level': 216, 'twist_class_label': '216.2.a.a', 'twist_class_level': 216, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 796291
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1728.2.a.a', 'source_level': 1728, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '216.2.a.d', 'target_level': 216, 'twist_class_label': '216.2.a.a', 'twist_class_level': 216, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 796292
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1728.2.a.a', 'source_level': 1728, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '432.2.a.a', 'target_level': 432, 'twist_class_label': '216.2.a.a', 'twist_class_level': 216, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 796293
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1728.2.a.a', 'source_level': 1728, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '432.2.a.h', 'target_level': 432, 'twist_class_label': '216.2.a.a', 'twist_class_level': 216, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 796294
    {'conductor': 72, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1728.2.a.a', 'source_level': 1728, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '648.2.i.a', 'target_level': 648, 'twist_class_label': '216.2.a.a', 'twist_class_level': 216, 'twisting_char_label': '72.n', 'twisting_char_orbit': 14, 'weight': 2}
  • id: 796295
    {'conductor': 72, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1728.2.a.a', 'source_level': 1728, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '648.2.i.h', 'target_level': 648, 'twist_class_label': '216.2.a.a', 'twist_class_level': 216, 'twisting_char_label': '72.j', 'twisting_char_orbit': 10, 'weight': 2}
  • id: 796296
    {'conductor': 72, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1728.2.a.a', 'source_level': 1728, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1296.2.i.a', 'target_level': 1296, 'twist_class_label': '216.2.a.a', 'twist_class_level': 216, 'twisting_char_label': '72.p', 'twisting_char_orbit': 16, 'weight': 2}
  • id: 796297
    {'conductor': 72, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1728.2.a.a', 'source_level': 1728, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '1296.2.i.q', 'target_level': 1296, 'twist_class_label': '216.2.a.a', 'twist_class_level': 216, 'twisting_char_label': '72.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 796298
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1728.2.a.a', 'source_level': 1728, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1728.2.a.a', 'target_level': 1728, 'twist_class_label': '216.2.a.a', 'twist_class_level': 216, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 796299
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1728.2.a.a', 'source_level': 1728, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '1728.2.a.b', 'target_level': 1728, 'twist_class_label': '216.2.a.a', 'twist_class_level': 216, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 796300
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1728.2.a.a', 'source_level': 1728, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 27, 'target_is_minimal': False, 'target_label': '1728.2.a.ba', 'target_level': 1728, 'twist_class_label': '216.2.a.a', 'twist_class_level': 216, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 796301
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1728.2.a.a', 'source_level': 1728, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 28, 'target_is_minimal': False, 'target_label': '1728.2.a.bb', 'target_level': 1728, 'twist_class_label': '216.2.a.a', 'twist_class_level': 216, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 796302
    {'conductor': 120, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1728.2.a.a', 'source_level': 1728, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 40, 'target_is_minimal': False, 'target_label': '5400.2.a.bn', 'target_level': 5400, 'twist_class_label': '216.2.a.a', 'twist_class_level': 216, 'twisting_char_label': '120.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 796303
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1728.2.a.a', 'source_level': 1728, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 42, 'target_is_minimal': False, 'target_label': '5400.2.a.bp', 'target_level': 5400, 'twist_class_label': '216.2.a.a', 'twist_class_level': 216, 'twisting_char_label': '40.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 796304
    {'conductor': 120, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1728.2.a.a', 'source_level': 1728, 'target_char_orbit': 6, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '5400.2.f.e', 'target_level': 5400, 'twist_class_label': '216.2.a.a', 'twist_class_level': 216, 'twisting_char_label': '120.w', 'twisting_char_orbit': 23, 'weight': 2}
  • id: 796305
    {'conductor': 40, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '1728.2.a.a', 'source_level': 1728, 'target_char_orbit': 6, 'target_dim': 2, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '5400.2.f.v', 'target_level': 5400, 'twist_class_label': '216.2.a.a', 'twist_class_level': 216, 'twisting_char_label': '40.i', 'twisting_char_orbit': 9, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2159275
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 2}
  • id: 2159276
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 3}
  • id: 2159277
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 5}
  • id: 2159278
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 7}
  • id: 2159279
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 11}
  • id: 2159280
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 13}
  • id: 2159281
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 17}
  • id: 2159282
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 19}
  • id: 2159283
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 23}
  • id: 2159284
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 29}
  • id: 2159285
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 31}
  • id: 2159286
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 37}
  • id: 2159287
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 41}
  • id: 2159288
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 43}
  • id: 2159289
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 47}
  • id: 2159290
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 53}
  • id: 2159291
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 59}
  • id: 2159292
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 61}
  • id: 2159293
    {'charpoly_factorization': [[[11, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 67}
  • id: 2159294
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 71}
  • id: 2159295
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 73}
  • id: 2159296
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 79}
  • id: 2159297
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 83}
  • id: 2159298
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 33556160, 'p': 89}
  • id: 2159299
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 33556160, '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': 1, 'label': '1728.2.a.a', 'level': 1728, '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: 440922
    {'hecke_orbit_code': 33556160, 'n': 1, 'trace_an': 1}
  • id: 440923
    {'hecke_orbit_code': 33556160, 'n': 2, 'trace_an': 0}
  • id: 440924
    {'hecke_orbit_code': 33556160, 'n': 3, 'trace_an': 0}
  • id: 440925
    {'hecke_orbit_code': 33556160, 'n': 4, 'trace_an': 0}
  • id: 440926
    {'hecke_orbit_code': 33556160, 'n': 5, 'trace_an': -4}
  • id: 440927
    {'hecke_orbit_code': 33556160, 'n': 6, 'trace_an': 0}
  • id: 440928
    {'hecke_orbit_code': 33556160, 'n': 7, 'trace_an': -3}
  • id: 440929
    {'hecke_orbit_code': 33556160, 'n': 8, 'trace_an': 0}
  • id: 440930
    {'hecke_orbit_code': 33556160, 'n': 9, 'trace_an': 0}
  • id: 440931
    {'hecke_orbit_code': 33556160, 'n': 10, 'trace_an': 0}
  • id: 440932
    {'hecke_orbit_code': 33556160, 'n': 11, 'trace_an': -4}
  • id: 440933
    {'hecke_orbit_code': 33556160, 'n': 12, 'trace_an': 0}
  • id: 440934
    {'hecke_orbit_code': 33556160, 'n': 13, 'trace_an': -1}
  • id: 440935
    {'hecke_orbit_code': 33556160, 'n': 14, 'trace_an': 0}
  • id: 440936
    {'hecke_orbit_code': 33556160, 'n': 15, 'trace_an': 0}
  • id: 440937
    {'hecke_orbit_code': 33556160, 'n': 16, 'trace_an': 0}
  • id: 440938
    {'hecke_orbit_code': 33556160, 'n': 17, 'trace_an': -4}
  • id: 440939
    {'hecke_orbit_code': 33556160, 'n': 18, 'trace_an': 0}
  • id: 440940
    {'hecke_orbit_code': 33556160, 'n': 19, 'trace_an': 1}
  • id: 440941
    {'hecke_orbit_code': 33556160, 'n': 20, 'trace_an': 0}
  • id: 440942
    {'hecke_orbit_code': 33556160, 'n': 21, 'trace_an': 0}
  • id: 440943
    {'hecke_orbit_code': 33556160, 'n': 22, 'trace_an': 0}
  • id: 440944
    {'hecke_orbit_code': 33556160, 'n': 23, 'trace_an': 4}
  • id: 440945
    {'hecke_orbit_code': 33556160, 'n': 24, 'trace_an': 0}
  • id: 440946
    {'hecke_orbit_code': 33556160, 'n': 25, 'trace_an': 11}
  • id: 440947
    {'hecke_orbit_code': 33556160, 'n': 26, 'trace_an': 0}
  • id: 440948
    {'hecke_orbit_code': 33556160, 'n': 27, 'trace_an': 0}
  • id: 440949
    {'hecke_orbit_code': 33556160, 'n': 28, 'trace_an': 0}
  • id: 440950
    {'hecke_orbit_code': 33556160, 'n': 29, 'trace_an': 0}
  • id: 440951
    {'hecke_orbit_code': 33556160, 'n': 30, 'trace_an': 0}
  • id: 440952
    {'hecke_orbit_code': 33556160, 'n': 31, 'trace_an': -4}
  • id: 440953
    {'hecke_orbit_code': 33556160, 'n': 32, 'trace_an': 0}
  • id: 440954
    {'hecke_orbit_code': 33556160, 'n': 33, 'trace_an': 0}
  • id: 440955
    {'hecke_orbit_code': 33556160, 'n': 34, 'trace_an': 0}
  • id: 440956
    {'hecke_orbit_code': 33556160, 'n': 35, 'trace_an': 12}
  • id: 440957
    {'hecke_orbit_code': 33556160, 'n': 36, 'trace_an': 0}
  • id: 440958
    {'hecke_orbit_code': 33556160, 'n': 37, 'trace_an': 9}
  • id: 440959
    {'hecke_orbit_code': 33556160, 'n': 38, 'trace_an': 0}
  • id: 440960
    {'hecke_orbit_code': 33556160, 'n': 39, 'trace_an': 0}
  • id: 440961
    {'hecke_orbit_code': 33556160, 'n': 40, 'trace_an': 0}
  • id: 440962
    {'hecke_orbit_code': 33556160, 'n': 41, 'trace_an': 0}
  • id: 440963
    {'hecke_orbit_code': 33556160, 'n': 42, 'trace_an': 0}
  • id: 440964
    {'hecke_orbit_code': 33556160, 'n': 43, 'trace_an': 8}
  • id: 440965
    {'hecke_orbit_code': 33556160, 'n': 44, 'trace_an': 0}
  • id: 440966
    {'hecke_orbit_code': 33556160, 'n': 45, 'trace_an': 0}
  • id: 440967
    {'hecke_orbit_code': 33556160, 'n': 46, 'trace_an': 0}
  • id: 440968
    {'hecke_orbit_code': 33556160, 'n': 47, 'trace_an': -12}
  • id: 440969
    {'hecke_orbit_code': 33556160, 'n': 48, 'trace_an': 0}
  • id: 440970
    {'hecke_orbit_code': 33556160, 'n': 49, 'trace_an': 2}
  • id: 440971
    {'hecke_orbit_code': 33556160, 'n': 50, 'trace_an': 0}
  • id: 440972
    {'hecke_orbit_code': 33556160, 'n': 51, 'trace_an': 0}
  • id: 440973
    {'hecke_orbit_code': 33556160, 'n': 52, 'trace_an': 0}
  • id: 440974
    {'hecke_orbit_code': 33556160, 'n': 53, 'trace_an': 8}
  • id: 440975
    {'hecke_orbit_code': 33556160, 'n': 54, 'trace_an': 0}
  • id: 440976
    {'hecke_orbit_code': 33556160, 'n': 55, 'trace_an': 16}
  • id: 440977
    {'hecke_orbit_code': 33556160, 'n': 56, 'trace_an': 0}
  • id: 440978
    {'hecke_orbit_code': 33556160, 'n': 57, 'trace_an': 0}
  • id: 440979
    {'hecke_orbit_code': 33556160, 'n': 58, 'trace_an': 0}
  • id: 440980
    {'hecke_orbit_code': 33556160, 'n': 59, 'trace_an': -4}
  • id: 440981
    {'hecke_orbit_code': 33556160, 'n': 60, 'trace_an': 0}
  • id: 440982
    {'hecke_orbit_code': 33556160, 'n': 61, 'trace_an': 5}
  • id: 440983
    {'hecke_orbit_code': 33556160, 'n': 62, 'trace_an': 0}
  • id: 440984
    {'hecke_orbit_code': 33556160, 'n': 63, 'trace_an': 0}
  • id: 440985
    {'hecke_orbit_code': 33556160, 'n': 64, 'trace_an': 0}
  • id: 440986
    {'hecke_orbit_code': 33556160, 'n': 65, 'trace_an': 4}
  • id: 440987
    {'hecke_orbit_code': 33556160, 'n': 66, 'trace_an': 0}
  • id: 440988
    {'hecke_orbit_code': 33556160, 'n': 67, 'trace_an': -11}
  • id: 440989
    {'hecke_orbit_code': 33556160, 'n': 68, 'trace_an': 0}
  • id: 440990
    {'hecke_orbit_code': 33556160, 'n': 69, 'trace_an': 0}
  • id: 440991
    {'hecke_orbit_code': 33556160, 'n': 70, 'trace_an': 0}
  • id: 440992
    {'hecke_orbit_code': 33556160, 'n': 71, 'trace_an': 8}
  • id: 440993
    {'hecke_orbit_code': 33556160, 'n': 72, 'trace_an': 0}
  • id: 440994
    {'hecke_orbit_code': 33556160, 'n': 73, 'trace_an': 1}
  • id: 440995
    {'hecke_orbit_code': 33556160, 'n': 74, 'trace_an': 0}
  • id: 440996
    {'hecke_orbit_code': 33556160, 'n': 75, 'trace_an': 0}
  • id: 440997
    {'hecke_orbit_code': 33556160, 'n': 76, 'trace_an': 0}
  • id: 440998
    {'hecke_orbit_code': 33556160, 'n': 77, 'trace_an': 12}
  • id: 440999
    {'hecke_orbit_code': 33556160, 'n': 78, 'trace_an': 0}
  • id: 441000
    {'hecke_orbit_code': 33556160, 'n': 79, 'trace_an': -5}
  • id: 441001
    {'hecke_orbit_code': 33556160, 'n': 80, 'trace_an': 0}
  • id: 441002
    {'hecke_orbit_code': 33556160, 'n': 81, 'trace_an': 0}
  • id: 441003
    {'hecke_orbit_code': 33556160, 'n': 82, 'trace_an': 0}
  • id: 441004
    {'hecke_orbit_code': 33556160, 'n': 83, 'trace_an': -8}
  • id: 441005
    {'hecke_orbit_code': 33556160, 'n': 84, 'trace_an': 0}
  • id: 441006
    {'hecke_orbit_code': 33556160, 'n': 85, 'trace_an': 16}
  • id: 441007
    {'hecke_orbit_code': 33556160, 'n': 86, 'trace_an': 0}
  • id: 441008
    {'hecke_orbit_code': 33556160, 'n': 87, 'trace_an': 0}
  • id: 441009
    {'hecke_orbit_code': 33556160, 'n': 88, 'trace_an': 0}
  • id: 441010
    {'hecke_orbit_code': 33556160, 'n': 89, 'trace_an': 12}
  • id: 441011
    {'hecke_orbit_code': 33556160, 'n': 90, 'trace_an': 0}
  • id: 441012
    {'hecke_orbit_code': 33556160, 'n': 91, 'trace_an': 3}
  • id: 441013
    {'hecke_orbit_code': 33556160, 'n': 92, 'trace_an': 0}
  • id: 441014
    {'hecke_orbit_code': 33556160, 'n': 93, 'trace_an': 0}
  • id: 441015
    {'hecke_orbit_code': 33556160, 'n': 94, 'trace_an': 0}
  • id: 441016
    {'hecke_orbit_code': 33556160, 'n': 95, 'trace_an': -4}
  • id: 441017
    {'hecke_orbit_code': 33556160, 'n': 96, 'trace_an': 0}
  • id: 441018
    {'hecke_orbit_code': 33556160, 'n': 97, 'trace_an': 5}
  • id: 441019
    {'hecke_orbit_code': 33556160, 'n': 98, 'trace_an': 0}
  • id: 441020
    {'hecke_orbit_code': 33556160, 'n': 99, 'trace_an': 0}
  • id: 441021
    {'hecke_orbit_code': 33556160, 'n': 100, 'trace_an': 0}