Newform data - 483.2.a.c

Formats: - HTML - YAML - JSON - 2026-08-10T07:31:42.939939

• 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': 1932, 'analytic_conductor': 3.8567744176278427, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [7, -1], [23, 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': [483, 1, [323, 346, 442], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 5, 'field_disc_factorization': [[5, 1]], 'field_poly': [-1, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 10, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [1, 3, 1]], [5, [5, 5, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199288295907, 'hecke_ring_generator_nbound': 2, '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': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '483.2.a.c', 'level': 483, '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': True, 'level_primes': [3, 7, 23], 'level_radical': 483, 'minimal_twist': '483.2.a.c', 'nf_label': '2.2.5.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-1-\\beta )q^{2}+q^{3}+3\\beta q^{4}+(-2+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '483.2.a', 'trace_display': [-3, 2, -5, 2], 'trace_hash': 135253270658934999, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '2.023', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '9.893', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '67.745', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.004', 'prec': 4}, 'traces': [2, -3, 2, 3, -5, -3, 2, -6, 2, 10, -2, 3, -7, -3, -5, 13, -2, -3, -6, -15, 2, -7, -2, -6, 5, 13, 2, 3, -6, 10, -12, -15, -2, 3, -5, 3, -6, 9, -7, 25, 4, -3, 5, 27, -5, 3, -10, 13, 2, -20, -2, -18, -9, -3, -5, -6, -6, -1, -19, -15, 3, 23, 2, 4, 20, -7, 15, -3, -2, 10, -19, -6, -8, 19, 5, -9, -2, 13, 10, -40, 2, -21, -6, 3, 5, 5, -6, -34, 13, 10, -7, -3, -12, 30, 15, -15, 10, -3, -2, 45, 3, 3, 8, 31, -5, 16, -1, 3, 3, 30, -6, 13, -3, 9, 5, 21, -7, 36, -2, 25, 20, 23, 4, -33, 0, -3, 31, 9, 5, -45, -18, 27, -6, -30, -5, 6, -4, 3, -17, -15, -10, 41, -3, 13, 5, 27, 2, -39, -10, -20, 6, 18, -2, -7, 35, -18, -10, -25, -9, 45, -2, -3, -19, 51, -5, 9, 38, -6, 1, -10, -6, -30, 4, -1, 5, 17, -19, -27, 9, -15, 6, 13, 3, 6, 25, 23, 2, -60, 2, -30, 26, 4, -6, -15, 20, 3, -19, -7, -7, -65, 15, -12, -6, -3, -25, -32, -2, -53, 6, 10, 26, -21, -19, 29, 0, -6, -12, -22, -8, -75, 7, 19, -25, -15, 5, 22, 7, -9, -23, -10, -2, -22, 5, 13, 40, -51, 10, 3, -29, -40, -14, -10, 2, -78, -5, -21, 21, 56, -6, 25, -2, 3, 2, -39, 5, -9, -14, 5, -6, 75, -6, 7, 16, -34, 25, 9, 13, 45, 5, 10, 10, -13, -7, 31, 45, -3, -45, 8, -12, 25, 42, 30, -43, -66, 15, 37, 4, -15, -32, 10, 10, -57, -20, -3, 55, 58, -2, -10, 7, 45, 5, -14, 3, -39, 20, 3, -32, 27, 8, -80, 5, 31, 4, -20, -5, 45, -25, 16, 46, -25, -1, 3, 6, 3, -30, 56, 3, -72, -10, 30, 20, -9, -6, -67, -45, 13, 41, -19, -3, 15, -8, 9, 2, 35, 5, -31, 14, 21, -21, -20, -7, -15, -8, 36, 60, 42, -2, -6, 5, 25, -20, 1, 20, -18, 35, 23, 29, -13, 4, -70, -9, -33, -42, 7, 0, 90, 11, -3, 20, 45, 31, -54, -46, 9, -5, -16, 5, 15, -10, -45, 2, -6, -18, 21, -35, 27, -46, -22, -6, 70, -38, -30, 47, 27, -5, -1, -34, 6, 18, 80, -4, 72, -19, 3, 15, 60, -17, 21, -3, -15, -29, -9, -10, 37, -5, 41, 3, -84, -3, -25, 5, 13, -6, 23, 5, 57, 6, 27, 16, 105, 2, -13, 36, -39, -40, 20, -10, 4, 35, -20, 56, -57, 6, -38, 20, 18, 49, 12, -2, 15, -1, -7, 44, -9, 35, 30, 6, -18, 15, -110, -10, 87, -55, -25, -15, -3, -9, 36, 32, 45, 31, -9, -2, -30, -25, -3, -12, 101, -19, 10, -15, 51, 6, -39, -5, -93, -19, 9, 9, -75, 38, 8, -33, -6, -15, 7, 1, 24, -6, -10, -8, 18, -6, -34, -40, -30, -50, 19, 4, -120, 40, -1, 16, 33, 5, 11, 12, 17, 2, -55, -19, -9, -29, -27, 30, -75, 9, -45, -2, -15, -46, 45, 6, 15, -25, 13, -19, -81, 3, -80, 18, 6, 10, 75, 25, 27, 42, 23, -5, -40, 2, -48, 23, -60, 25, 52, 2, 107, 16, -30, 42, -102, 26, -21, -5, 4, -24, 48, -6, -45, -6, -15, -1, 84, 20, 60, 41, 3, 36, -125, -19, -69, -2, -7, 5, 60, -7, -13, 17, -65, -47, 5, 15, 24, -30, -12, 29, 45, -6, -95, 50, -3, 28, 33, -25, -34, 7, -32, 85, 135, -2, 35, 13, -53, 0, -16, 6, 90, 6, 10, -28, -70, 26, 10, -70, -21, -7, -29, -19, -10, 3, 29, 17, -3, 0, -9, 21, -6, -11, 95, -12, -111, -59, -22, 25, 71, -8, 30, -50, -75, -6, -10, 7, 18, 15, 19, 6, 87, -25, 105, -113, -15, -30, -79, 5, 54, -5, 22, 10, -25, 7, 67, -34, -9, 35, -3, -23, -5, 34, -10, 27, 81, -2, -51, 25, -22, -4, -26, 5, 45, -11, 13, 18, 56, 40, 47, 3, -51, -3, -145, 10, -69, 12, 3, 40, -9, -29, -50, -44, -40, 8, 30, -14, -21, 35, -10, -38, 31, 2, -100, -5, -78, -18, -21, -5, 15, 15, -21, -26, 135, 21, 16, -15, 56, 0, 83, -6, -27, -1, 25, -15, -110, -2, 11, -20, 3, 42, 20, 2, -75, -36, -39, 3, 84, 5, 59, 74, -9, 14, 30, -14, 66, -4, 5, -55, -30, -6, 45, -12, 75, -31, -3, -6, 13, -10, 7, -31, -6, 16, 90, -3, -34, 17, 54, 25, 87, -22, 9, 10, -75, 13, 87, -52, 45, 5, -103, 5, -39, 31, 10, -30, 21, 10, 71, 75, -13, -15, 3, -7, -165, 18, 31, -61, -104, 45, 36, -47, -3, -78, -30, -45, -29, -2, 8, -105, -81, -12, 42, -37, 25, 0, 41, 42, -51, -20, 30, 20, -66, -43, 20, 6, -66, 54, 23, 15, 113, 14, 37, -20, 75, 4, -85, 6, -15, -35, -16, -32, -33, 30, 10, -60, -79, 10, -9, 0, -57, -4, -49, -20, -100, -10, -3, -23, 18, 55, -84, 81, 58, 31, 95, -2, 15, 30, -10, -15, 9, 7, -10, 16, 45, 9, -89, 5, 79, -5, -14, 77, 93, 3, -45, -50, -39, 6, -86, 20, 33, -18, 3, -28, -25, -32, 4, 79, 27, -65, -31, 8, 15, -107, -80, -6, -105, 5, 71, 5, 31, 48, -30, 4, 210, 0, -20, -4, -146, -5, 45, -64, 45, 43, 60, -25, 6, 59, 16, -80, -21, 46, -43, -4, -25, 20, -89, -1, 69, -10, 3, 28, 20, 6, 50, 25, 3, -17, 3, -30, -63, -73, 56, 17, -15, 3, 75, -22, -72, 40, 1, -10, 54, -5, 30, 17, 105, 20, 41, -15, -9, -46, -46, -6, 100], '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], [-1, -1], [1, 0], [0, 3], [-2, -1], [-1, -1], [1, 0], [-1, -4], [1, 0], [3, 4], [-3, 4], [0, 3], [-3, -1], [-1, -1], [-2, -1], [5, 3], [-1, 0], [-1, -1], [-3, 0], [-3, -9], [1, 0], [-1, -5], [-1, 0], [-1, -4], [0, 5], [4, 5], [1, 0], [0, 3], [-5, 4], [3, 4], [-5, -2], [-6, -3], [-3, 4], [1, 1], [-2, -1], [0, 3], [-1, -4], [3, 3], [-3, -1], [6, 13], [-1, 6], [-1, -1], [5, -5], [12, 3], [-2, -1], [1, 1], [-2, -6], [5, 3], [1, 0], [-5, -10], [-1, 0], [-3, -12], [-4, -1], [-1, -1], [2, -9], [-1, -4], [-3, 0], [1, -3], [-8, -3], [-3, -9], [7, -11], [7, 9], [1, 0], [-1, 6], [7, 6], [-1, -5], [6, 3], [0, -3], [-1, 0], [3, 4], [-7, -5], [-1, -4], [-1, -6], [5, 9], [0, 5], [0, -9], [-3, 4], [4, 5], [3, 4], [-13, -14], [1, 0], [-5, -11], [-3, 0], [0, 3], [2, 1], [0, 5], [-5, 4], [-13, -8], [5, 3], [3, 4], [-3, -1], [0, -3], [-5, -2], [8, 14], [6, 3], [-6, -3], [5, 0], [-1, -1], [-3, 4], [15, 15]], 'ap': [[-1, -1], [1, 0], [-2, -1], [1, 0], [-3, 4], [-3, -1], [-1, 0], [-3, 0], [-1, 0], [-5, 4], [-5, -2], [-1, -4], [-1, 6], [5, -5], [-2, -6], [-4, -1], [-8, -3], [7, -11], [6, 3], [-7, -5], [-1, -6], [3, 4], [-3, 0], [5, 3], [5, 0], [0, 3], [0, 8], [5, -11], [-2, 7], [2, -7], [17, -3], [-13, 8], [3, -10], [-12, 7], [-10, 10], [2, 2], [-12, 14], [-4, -11], [17, 4], [-3, 10], [6, -3], [5, -4], [10, 6], [-8, 10], [-11, 3], [-10, 13], [19, -12], [-16, 7], [-2, 11], [-16, 9], [10, -15], [-16, 3], [-13, 12], [0, -2], [-18, 22], [15, -14], [-5, 15], [17, -24], [-21, -3], [24, -6], [-24, 5], [-4, -12], [-19, 6], [11, -17], [0, 4], [-18, 11], [14, -8], [17, 7], [1, 12], [-22, 23], [3, -14], [-6, 17], [19, -9], [-17, -8], [20, -20], [-25, 4], [1, -12], [-26, 6], [-13, -12], [15, -12], [6, -15], [-15, 1], [-13, 31], [-8, 10], [3, 10], [12, 12], [26, -17], [22, 5], [0, -1], [29, -14], [19, -32], [17, -2], [-9, 6], [3, -21], [-2, 13], [-26, 19], [2, -10], [26, -12], [-2, 20], [-30, 14], [-2, -15], [24, -6], [21, -19], [-4, 24], [29, -16], [-14, 4], [13, 15], [8, -18], [11, -5], [-20, -7], [17, -5], [7, 14], [-13, 33], [43, -1], [-17, 6], [13, -23], [7, 3], [14, -7], [-34, 9], [-27, 4], [13, -32], [-23, 16], [-3, 1], [-25, 16], [7, 13], [-12, 13], [13, -29], [-25, 6], [-9, -20], [-4, -10], [-5, -16], [-14, 13], [-24, 33], [13, 16], [-4, -28], [-4, 22], [-19, 34], [-22, 13], [-22, 22], [9, 13], [-13, -4], [14, -10], [-26, -9], [-28, 9], [-35, -8], [-17, -3], [20, 14], [16, -18], [2, -24], [8, -10], [-8, 12], [-24, 38], [-3, -17], [39, 3], [32, 13], [-30, 10], [-1, -26], [-54, 1], [33, -18], [12, -24], [-38, 12], [43, -27], [-2, 32], [23, -21], [-31, -11], [-21, 20], [11, -5], [-31, 16]], 'char_orbit_index': 1, 'field_poly': [-1, -1, 1], 'hecke_orbit_code': 9007199288295907, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '483.2.a.c', 'level': 483, 'maxp': 997, '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': [2, 4, 4, 2, 4, 2, 2, 3], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [0, 1, 1, 1, 1, 1, 1, 1], 'ALdims_old': [2, 7, 6, 4, 4, 6, 7, 2], 'Nk2': 1932, 'analytic_conductor': 3.8567744176278427, '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': [483, 1, [323, 346, 442], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 61, 'dim': 23, 'eis_dim': 7, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 5], 'hecke_orbit_code': 33554915, 'hecke_orbit_dims': [1, 1, 2, 2, 2, 2, 2, 3, 4, 4], 'label': '483.2.a', 'level': 483, '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': True, 'level_primes': [3, 7, 23], 'level_radical': 483, 'mf_dim': 68, 'mf_new_dim': 23, 'num_forms': 10, 'plus_dim': 8, 'prim_orbit_index': 1, 'relative_dim': 23, 'sturm_bound': 128, 'trace_bound': 5, 'trace_display': [1, -1, 10, -1], 'traces': [23, 1, -1, 21, 10, -3, -1, -3, 23, 6, -12, 9, 2, -3, -6, 21, 14, 1, -20, -2, -1, -20, -1, -15, 33, -18, -1, -7, 2, -2, -24, 5, -4, 10, -6, 21, -14, 36, 2, 38, 14, -3, 4, 12, 10, 5, -24, 1, 23, 7, -10, -2, -6, -3, 16, -15, -4, 6, -20, -18, 2, -24, -1, -19, 52, -20, -20, 2, -1, 14, -16, -3, 22, -18, 17, -100, 4, 30, -48, -42, 23, -30, -12, -7, -4, -84, -6, -28, 46, 6, -14, -7, -24, 8, -24, -23, -26, 1, -12, -5, 10, -6, -8, -18, 2, 46, -52, 9, 18, -32, -22, 1, 6, -4, -6, 14, 2, -52, 6, -10, 7, 38, -22, -56, 60, -3, 28, 53, -28, -28, -4, 60, -8, -4, -6, 10, 30, -3, 4, -42, 12, 96, 8, 21, 4, 98, -1, -10, -6, 11, -20, 12, 14, -4, 16, -34, 74, -24, 26, 54, -1, 1, 24, -46, 24, -36, 88, 9, 25, -36, -20, 52, -46, -42, -15, 36, 0, -78, -20, -2, 66, 46, -30, 9, 140, 72, 72, -96, -1, -56, 72, -47, 26, 34, 4, 21, -6, -20, -32, -149, -20, 54, 18, -38, 20, -88, -1, -66, -64, 22, -16, -10, -8, -28, 80, -15, -24, -74, -10, -72, -20, 38, -24, -63, 33, -6, 84, -44, -54, -18, 16, -26, 46, -18, 56, -60, 16, -6, -112, -42, -10, -35, -1, 22, 10, 58, 32, 104, -28, -44, -76, -7, 0, 136, 20, -43, 62, -20, 10, 132, 2, 12, 8, -4, 92, 20, 78, -44, -46, -2, -32, -38, -14, 58, -60, -7, -42, 100, -24, 54, 110, 64, -52, 56, -32, 144, 14, 5, 21, 76, -50, 106, 2, -3, 112, 86, -4, 54, 2, 87, 4, 40, 22, -4, 84, 10, -20, -20, -40, -40, -24, 70, 14, 142, -6, -88, -54, 46, -40, -106, -4, 5, -56, 21, -90, 52, -30, -54, 40, -56, -40, 76, -14, 96, -176, 1, 22, 23, 46, 52, -120, 36, -1, -28, 2, -50, 20, 38, -110, -29, 2, 84, 14, 108, -32, 106, -10, 84, -40, 38, -49, 70, 75, 38, -60, -34, 88, -31, 14, -52, -6, -56, -102, -80, -60, 16, 36, -3, -108, -16, 16, -80, -152, -7, -48, -126, 4, 2, 10, -92, -18, -3, -8, 158, -144, 12, -22, -176, 12, -77, -42, 76, 56, 278, 10, -26, 64, 18, -2, 132, -2, -40, -28, 5, -48, -2, -68, 56, 36, -18, 82, 44, -24, 102, 18, 40, 46, -172, -8, 24, 32, 1, -106, 8, 28, -26, 4, -6, -80, -168, 23, 52, -140, -58, -92, -24, 58, -15, -50, 7, -24, 98, 8, 180, -4, 4, -114, -82, -10, 14, -54, 20, 20, 30, -32, 10, 4, -2, 28, -352, -30, -60, -176, 8, 44, 26, -6, -96, 8, 6, 132, 146, 7, 73, -84, -3, -56, 230, -68, 6, -92, -54, 20, 40, 16, -272, -24, -76, 68, -60, 68, -4, -16, -15, -92, 44, -119, 120, 130, -84, -18, 29, -4, 26, 40, -52, 112, -34, 10, -212, -34, 6, 52, 116, -15, -8, 120, 84, 23, -236, -20, 28, 116, 82, 32, -268, 44, -42, -12, -18, 22, -56, 10, -46, -108, 22, -108, -30, 2, -388, -64, -15, -16, 222, 116, 60, 26, -24, -64, -2, -24, -118, -20, -8, 52, 132, -1, 192, 6, -24, -140, -224, 32, -70, 1, -19, -42, -133, -50, -292, -12, 66, 28, 122, 52, 150, 4, 9, 88, -40, -62, 222, -170, -20, 4, 94, 8, -42, -8, -169, -130, 12, -20, 160, 10, -18, -48, 204, -30, -196, 168, 2, 178, 92, -60, -44, 86, -88, 156, 152, -1, 72, -34, 54, 219, -86, 4, 230, 140, 14, -56, -56, -20, -34, -200, -50, 2, 224, -16, -82, -26, 140, 36, -7, 88, 0, 40, -3, -104, 58, 0, 52, 146, -82, -56, -54, 22, 64, -28, -32, 114, 124, 92, 196, 104, -18, 18, 200, 8, 208, -120, 25, -70, 66, 17, 27, 82, 58, 38, 84, -68, 184, 220, -100, 380, -3, -22, -28, 4, -2, 28, 70, 4, -156, -64, 158, -68, -58, -2, -9, -14, 30, -72, 196, 80, -126, -70, -36, 42, -64, -48, -278, 16, 10, 64, -52, 48, -32, -72, -42, -4, -27, -18, 166, 22, -127, 120, 54, 23, -204, -32, -98, -6, -216, -6, 33, 80, -30, -164, 364, 8, -66, 144, 32, -20, 30, -12, 144, -28, 156, -160, -80, 76, 60, -112, -7, 18, -132, -12, 80, 134, -80, 34, 32, -4, -24, -96, -31, 102, 56, 18, 146, 218, -84, 24, 226, -22, 262, 56, -44, 24, 82, -6, 21, -44, 108, 36, -2, 80, 104, -66, -28, -4, 430, 60, 96, 74, -28, -184, -213, 46, 194, -128, 132, 10, -136, 66, -202, -218, 6, 36, 78, -40, 16, 104, -70, -152, -174, -14, -116, -14, 2, 108, -168, 28, 4, -52, -7, -30, -88, -38, -330, 14, -84, -64, -96, -24, -124, 88, -2, 161, 22, 134, -156, 118, 8, -53, -74, -12, 14, -22, 104, 18, 126, -24, 188, -122, 24, -20, 184, 22, -72, 24, -23, -124, -78, -99, -16, 40, 52, -56, 198, -26, -44, 60, -190, 86, -240, 34, -128, -250, 1, 36, -220, 136, -116, 176, -2, -48, 84, -12, 144, 88, 30, -208, -31, 2, -158, -88, -5, 52, -168, 4, 354, -44, -144, 260, -76, 10, 92, -144, -60, -136, 34, -4, -90, 20, -6, -136, -2, -76, -218, -176, 60, 158, -120, -8, -178, -10, 96, -20, -182, 84, -4, 160, -18, -146, -140, 22, 96, -86, 86, -10, -172, 2, 72, -28, 176, 76, -12, 26, -30, -194, 46, -320, -280, 104, -56, 38, -146, -89, -244, -52, 178, 324, 9, 136, -335, 32, -52, 84, 9, 92, 80, -106, 46, 150, 28, -152, -2, 18, 308, 128, 10, 172, -20, -48, -32, -20, -32, 124, 64, -28, -8, 144, -52, 130, -124, -22, 156], '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: 346259
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '483.2.a.c', 'source_level': 483, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '483.2.a.c', 'target_level': 483, 'twist_class_label': '483.2.a.c', 'twist_class_level': 483, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 346260
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '483.2.a.c', 'source_level': 483, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '1449.2.a.k', 'target_level': 1449, 'twist_class_label': '483.2.a.c', 'twist_class_level': 483, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 346261
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '483.2.a.c', 'source_level': 483, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '3381.2.a.n', 'target_level': 3381, 'twist_class_label': '483.2.a.c', 'twist_class_level': 483, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 346262
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '483.2.a.c', 'source_level': 483, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '7728.2.a.v', 'target_level': 7728, 'twist_class_label': '483.2.a.c', 'twist_class_level': 483, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 950000
    {'charpoly_factorization': [[[1, 3, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 2}
  • id: 950001
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 9007199288295907, 'p': 3}
  • id: 950002
    {'charpoly_factorization': [[[5, 5, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 5}
  • id: 950003
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 9007199288295907, 'p': 7}
  • id: 950004
    {'charpoly_factorization': [[[-19, 2, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 11}
  • id: 950005
    {'charpoly_factorization': [[[11, 7, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 13}
  • id: 950006
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 9007199288295907, 'p': 17}
  • id: 950007
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 9007199288295907, 'p': 19}
  • id: 950008
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 9007199288295907, 'p': 23}
  • id: 950009
    {'charpoly_factorization': [[[-11, 6, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 29}
  • id: 950010
    {'charpoly_factorization': [[[31, 12, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 31}
  • id: 950011
    {'charpoly_factorization': [[[-11, 6, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 37}
  • id: 950012
    {'charpoly_factorization': [[[-41, -4, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 41}
  • id: 950013
    {'charpoly_factorization': [[[-25, -5, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 43}
  • id: 950014
    {'charpoly_factorization': [[[-20, 10, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 47}
  • id: 950015
    {'charpoly_factorization': [[[19, 9, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 53}
  • id: 950016
    {'charpoly_factorization': [[[79, 19, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 59}
  • id: 950017
    {'charpoly_factorization': [[[-149, -3, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 61}
  • id: 950018
    {'charpoly_factorization': [[[45, -15, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 67}
  • id: 950019
    {'charpoly_factorization': [[[59, 19, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 71}
  • id: 950020
    {'charpoly_factorization': [[[-29, 8, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 73}
  • id: 950021
    {'charpoly_factorization': [[[5, -10, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 79}
  • id: 950022
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 9007199288295907, 'p': 83}
  • id: 950023
    {'charpoly_factorization': [[[31, -13, 1], 1]], 'hecke_orbit_code': 9007199288295907, 'p': 89}
  • id: 950024
    {'charpoly_factorization': [[[-5, 1], 2]], 'hecke_orbit_code': 9007199288295907, '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': 3, 'label': '483.2.a.c', 'level': 483, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 26092549
    {'hecke_orbit_code': 9007199288295907, 'n': 1, 'trace_an': 2}
  • id: 26092550
    {'hecke_orbit_code': 9007199288295907, 'n': 2, 'trace_an': -3}
  • id: 26092551
    {'hecke_orbit_code': 9007199288295907, 'n': 3, 'trace_an': 2}
  • id: 26092552
    {'hecke_orbit_code': 9007199288295907, 'n': 4, 'trace_an': 3}
  • id: 26092553
    {'hecke_orbit_code': 9007199288295907, 'n': 5, 'trace_an': -5}
  • id: 26092554
    {'hecke_orbit_code': 9007199288295907, 'n': 6, 'trace_an': -3}
  • id: 26092555
    {'hecke_orbit_code': 9007199288295907, 'n': 7, 'trace_an': 2}
  • id: 26092556
    {'hecke_orbit_code': 9007199288295907, 'n': 8, 'trace_an': -6}
  • id: 26092557
    {'hecke_orbit_code': 9007199288295907, 'n': 9, 'trace_an': 2}
  • id: 26092558
    {'hecke_orbit_code': 9007199288295907, 'n': 10, 'trace_an': 10}
  • id: 26092559
    {'hecke_orbit_code': 9007199288295907, 'n': 11, 'trace_an': -2}
  • id: 26092560
    {'hecke_orbit_code': 9007199288295907, 'n': 12, 'trace_an': 3}
  • id: 26092561
    {'hecke_orbit_code': 9007199288295907, 'n': 13, 'trace_an': -7}
  • id: 26092562
    {'hecke_orbit_code': 9007199288295907, 'n': 14, 'trace_an': -3}
  • id: 26092563
    {'hecke_orbit_code': 9007199288295907, 'n': 15, 'trace_an': -5}
  • id: 26092564
    {'hecke_orbit_code': 9007199288295907, 'n': 16, 'trace_an': 13}
  • id: 26092565
    {'hecke_orbit_code': 9007199288295907, 'n': 17, 'trace_an': -2}
  • id: 26092566
    {'hecke_orbit_code': 9007199288295907, 'n': 18, 'trace_an': -3}
  • id: 26092567
    {'hecke_orbit_code': 9007199288295907, 'n': 19, 'trace_an': -6}
  • id: 26092568
    {'hecke_orbit_code': 9007199288295907, 'n': 20, 'trace_an': -15}
  • id: 26092569
    {'hecke_orbit_code': 9007199288295907, 'n': 21, 'trace_an': 2}
  • id: 26092570
    {'hecke_orbit_code': 9007199288295907, 'n': 22, 'trace_an': -7}
  • id: 26092571
    {'hecke_orbit_code': 9007199288295907, 'n': 23, 'trace_an': -2}
  • id: 26092572
    {'hecke_orbit_code': 9007199288295907, 'n': 24, 'trace_an': -6}
  • id: 26092573
    {'hecke_orbit_code': 9007199288295907, 'n': 25, 'trace_an': 5}
  • id: 26092574
    {'hecke_orbit_code': 9007199288295907, 'n': 26, 'trace_an': 13}
  • id: 26092575
    {'hecke_orbit_code': 9007199288295907, 'n': 27, 'trace_an': 2}
  • id: 26092576
    {'hecke_orbit_code': 9007199288295907, 'n': 28, 'trace_an': 3}
  • id: 26092577
    {'hecke_orbit_code': 9007199288295907, 'n': 29, 'trace_an': -6}
  • id: 26092578
    {'hecke_orbit_code': 9007199288295907, 'n': 30, 'trace_an': 10}
  • id: 26092579
    {'hecke_orbit_code': 9007199288295907, 'n': 31, 'trace_an': -12}
  • id: 26092580
    {'hecke_orbit_code': 9007199288295907, 'n': 32, 'trace_an': -15}
  • id: 26092581
    {'hecke_orbit_code': 9007199288295907, 'n': 33, 'trace_an': -2}
  • id: 26092582
    {'hecke_orbit_code': 9007199288295907, 'n': 34, 'trace_an': 3}
  • id: 26092583
    {'hecke_orbit_code': 9007199288295907, 'n': 35, 'trace_an': -5}
  • id: 26092584
    {'hecke_orbit_code': 9007199288295907, 'n': 36, 'trace_an': 3}
  • id: 26092585
    {'hecke_orbit_code': 9007199288295907, 'n': 37, 'trace_an': -6}
  • id: 26092586
    {'hecke_orbit_code': 9007199288295907, 'n': 38, 'trace_an': 9}
  • id: 26092587
    {'hecke_orbit_code': 9007199288295907, 'n': 39, 'trace_an': -7}
  • id: 26092588
    {'hecke_orbit_code': 9007199288295907, 'n': 40, 'trace_an': 25}
  • id: 26092589
    {'hecke_orbit_code': 9007199288295907, 'n': 41, 'trace_an': 4}
  • id: 26092590
    {'hecke_orbit_code': 9007199288295907, 'n': 42, 'trace_an': -3}
  • id: 26092591
    {'hecke_orbit_code': 9007199288295907, 'n': 43, 'trace_an': 5}
  • id: 26092592
    {'hecke_orbit_code': 9007199288295907, 'n': 44, 'trace_an': 27}
  • id: 26092593
    {'hecke_orbit_code': 9007199288295907, 'n': 45, 'trace_an': -5}
  • id: 26092594
    {'hecke_orbit_code': 9007199288295907, 'n': 46, 'trace_an': 3}
  • id: 26092595
    {'hecke_orbit_code': 9007199288295907, 'n': 47, 'trace_an': -10}
  • id: 26092596
    {'hecke_orbit_code': 9007199288295907, 'n': 48, 'trace_an': 13}
  • id: 26092597
    {'hecke_orbit_code': 9007199288295907, 'n': 49, 'trace_an': 2}
  • id: 26092598
    {'hecke_orbit_code': 9007199288295907, 'n': 50, 'trace_an': -20}
  • id: 26092599
    {'hecke_orbit_code': 9007199288295907, 'n': 51, 'trace_an': -2}
  • id: 26092600
    {'hecke_orbit_code': 9007199288295907, 'n': 52, 'trace_an': -18}
  • id: 26092601
    {'hecke_orbit_code': 9007199288295907, 'n': 53, 'trace_an': -9}
  • id: 26092602
    {'hecke_orbit_code': 9007199288295907, 'n': 54, 'trace_an': -3}
  • id: 26092603
    {'hecke_orbit_code': 9007199288295907, 'n': 55, 'trace_an': -5}
  • id: 26092604
    {'hecke_orbit_code': 9007199288295907, 'n': 56, 'trace_an': -6}
  • id: 26092605
    {'hecke_orbit_code': 9007199288295907, 'n': 57, 'trace_an': -6}
  • id: 26092606
    {'hecke_orbit_code': 9007199288295907, 'n': 58, 'trace_an': -1}
  • id: 26092607
    {'hecke_orbit_code': 9007199288295907, 'n': 59, 'trace_an': -19}
  • id: 26092608
    {'hecke_orbit_code': 9007199288295907, 'n': 60, 'trace_an': -15}
  • id: 26092609
    {'hecke_orbit_code': 9007199288295907, 'n': 61, 'trace_an': 3}
  • id: 26092610
    {'hecke_orbit_code': 9007199288295907, 'n': 62, 'trace_an': 23}
  • id: 26092611
    {'hecke_orbit_code': 9007199288295907, 'n': 63, 'trace_an': 2}
  • id: 26092612
    {'hecke_orbit_code': 9007199288295907, 'n': 64, 'trace_an': 4}
  • id: 26092613
    {'hecke_orbit_code': 9007199288295907, 'n': 65, 'trace_an': 20}
  • id: 26092614
    {'hecke_orbit_code': 9007199288295907, 'n': 66, 'trace_an': -7}
  • id: 26092615
    {'hecke_orbit_code': 9007199288295907, 'n': 67, 'trace_an': 15}
  • id: 26092616
    {'hecke_orbit_code': 9007199288295907, 'n': 68, 'trace_an': -3}
  • id: 26092617
    {'hecke_orbit_code': 9007199288295907, 'n': 69, 'trace_an': -2}
  • id: 26092618
    {'hecke_orbit_code': 9007199288295907, 'n': 70, 'trace_an': 10}
  • id: 26092619
    {'hecke_orbit_code': 9007199288295907, 'n': 71, 'trace_an': -19}
  • id: 26092620
    {'hecke_orbit_code': 9007199288295907, 'n': 72, 'trace_an': -6}
  • id: 26092621
    {'hecke_orbit_code': 9007199288295907, 'n': 73, 'trace_an': -8}
  • id: 26092622
    {'hecke_orbit_code': 9007199288295907, 'n': 74, 'trace_an': 19}
  • id: 26092623
    {'hecke_orbit_code': 9007199288295907, 'n': 75, 'trace_an': 5}
  • id: 26092624
    {'hecke_orbit_code': 9007199288295907, 'n': 76, 'trace_an': -9}
  • id: 26092625
    {'hecke_orbit_code': 9007199288295907, 'n': 77, 'trace_an': -2}
  • id: 26092626
    {'hecke_orbit_code': 9007199288295907, 'n': 78, 'trace_an': 13}
  • id: 26092627
    {'hecke_orbit_code': 9007199288295907, 'n': 79, 'trace_an': 10}
  • id: 26092628
    {'hecke_orbit_code': 9007199288295907, 'n': 80, 'trace_an': -40}
  • id: 26092629
    {'hecke_orbit_code': 9007199288295907, 'n': 81, 'trace_an': 2}
  • id: 26092630
    {'hecke_orbit_code': 9007199288295907, 'n': 82, 'trace_an': -21}
  • id: 26092631
    {'hecke_orbit_code': 9007199288295907, 'n': 83, 'trace_an': -6}
  • id: 26092632
    {'hecke_orbit_code': 9007199288295907, 'n': 84, 'trace_an': 3}
  • id: 26092633
    {'hecke_orbit_code': 9007199288295907, 'n': 85, 'trace_an': 5}
  • id: 26092634
    {'hecke_orbit_code': 9007199288295907, 'n': 86, 'trace_an': 5}
  • id: 26092635
    {'hecke_orbit_code': 9007199288295907, 'n': 87, 'trace_an': -6}
  • id: 26092636
    {'hecke_orbit_code': 9007199288295907, 'n': 88, 'trace_an': -34}
  • id: 26092637
    {'hecke_orbit_code': 9007199288295907, 'n': 89, 'trace_an': 13}
  • id: 26092638
    {'hecke_orbit_code': 9007199288295907, 'n': 90, 'trace_an': 10}
  • id: 26092639
    {'hecke_orbit_code': 9007199288295907, 'n': 91, 'trace_an': -7}
  • id: 26092640
    {'hecke_orbit_code': 9007199288295907, 'n': 92, 'trace_an': -3}
  • id: 26092641
    {'hecke_orbit_code': 9007199288295907, 'n': 93, 'trace_an': -12}
  • id: 26092642
    {'hecke_orbit_code': 9007199288295907, 'n': 94, 'trace_an': 30}
  • id: 26092643
    {'hecke_orbit_code': 9007199288295907, 'n': 95, 'trace_an': 15}
  • id: 26092644
    {'hecke_orbit_code': 9007199288295907, 'n': 96, 'trace_an': -15}
  • id: 26092645
    {'hecke_orbit_code': 9007199288295907, 'n': 97, 'trace_an': 10}
  • id: 26092646
    {'hecke_orbit_code': 9007199288295907, 'n': 98, 'trace_an': -3}
  • id: 26092647
    {'hecke_orbit_code': 9007199288295907, 'n': 99, 'trace_an': -2}
  • id: 26092648
    {'hecke_orbit_code': 9007199288295907, 'n': 100, 'trace_an': 45}