Newform data - 1656.2.a.m

Formats: - HTML - YAML - JSON - 2026-10-09T17:12:27.706701

• 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': 6624, 'analytic_conductor': 13.223226574724032, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 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': [1656, 1, [415, 829, 1289, 649], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 12, 'field_disc_factorization': [[2, 2], [3, 1]], 'field_poly': [-3, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 12, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [-2, -2, 1]], [7, [-2, 2, 1]], [11, [-8, 4, 1]], [13, [-8, 4, 1]]], 'hecke_orbit': 13, 'hecke_orbit_code': 54043195562002040, 'hecke_ring_generator_nbound': 5, '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': '1656.2.a.m', 'level': 1656, '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, 23], 'level_radical': 138, 'minimal_twist': '1656.2.a.k', 'nf_label': '2.2.12.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(1+\\beta )q^{5}+(-1-\\beta )q^{7}+(-2-2\\beta )q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1656.2.a', 'trace_display': [0, 0, 2, -2], 'trace_hash': 2242932747151077636, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '2.010', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '10.536', 'prec': 17}, 0, {'__RealLiteral__': 0, 'data': '79.541', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.020', 'prec': 7}, 'traces': [2, 0, 0, 0, 2, 0, -2, 0, 0, 0, -4, 0, -4, 0, 0, 0, -2, 0, -6, 0, 0, 0, -2, 0, -2, 0, 0, 0, 4, 0, -12, 0, 0, 0, -8, 0, -8, 0, 0, 0, 0, 0, -2, 0, 0, 0, -8, 0, -6, 0, 0, 0, 18, 0, -16, 0, 0, 0, 8, 0, -8, 0, 0, 0, 8, 0, -2, 0, 0, 0, -8, 0, -12, 0, 0, 0, 16, 0, 6, 0, 0, 0, -12, 0, -8, 0, 0, 0, -2, 0, -8, 0, 0, 0, 0, 0, -4, 0, 0, 0, 8, 0, -10, 0, 0, 0, -12, 0, -24, 0, 0, 0, 6, 0, -2, 0, 0, 0, 8, 0, 10, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14, 0, -8, 0, 0, 0, -16, 0, -8, 0, 0, 0, 6, 0, 16, 0, 0, 0, -24, 0, 24, 0, 0, 0, 2, 0, -4, 0, 0, 0, 0, 0, 6, 0, 0, 0, 28, 0, -10, 0, 0, 0, -32, 0, -24, 0, 0, 0, -20, 0, 16, 0, 0, 0, 0, 0, -4, 0, 0, 0, 36, 0, -22, 0, 0, 0, 8, 0, 24, 0, 0, 0, 0, 0, 4, 0, 0, 0, -8, 0, 24, 0, 0, 0, -8, 0, 16, 0, 0, 0, -20, 0, -16, 0, 0, 0, 24, 0, 4, 0, 0, 0, 8, 0, 4, 0, 0, 0, 6, 0, 24, 0, 0, 0, 36, 0, 4, 0, 0, 0, 0, 0, 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0, -40, 0, -72, 0, 0, 0, 42, 0, 0, 0, 0, 0, -24, 0, -16, 0, 0, 0, -48, 0, 68, 0, 0, 0, 0, 0, 16, 0, 0, 0, -162, 0, 16, 0, 0, 0, -72, 0, -24, 0, 0, 0, -78, 0, 96, 0, 0, 0, -72, 0, 144, 0, 0, 0, -4, 0, -108, 0, 0, 0, 48, 0, 64, 0, 0, 0, 8, 0, -16, 0, 0, 0, -24, 0, -40, 0, 0, 0, 24, 0, -68, 0, 0, 0, 112, 0, 4, 0, 0, 0, 24, 0, -96, 0, 0, 0, -12, 0, -56, 0, 0, 0, -72, 0, -36, 0, 0, 0, 16, 0, -40, 0, 0, 0, -160, 0, -36, 0, 0, 0, -8, 0, -48, 0, 0, 0, 0, 0, -32, 0, 0, 0, 72, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0], [0, 0], [0, 0], [0, 0], [1, 1], [0, 0], [-1, -1], [0, 0], [0, 0], [0, 0], [-2, -2], [0, 0], [-2, 2], [0, 0], [0, 0], [0, 0], [-1, -1], [0, 0], [-3, 1], [0, 0], [0, 0], [0, 0], [-1, 0], [0, 0], [-1, 2], [0, 0], [0, 0], [0, 0], [2, -2], [0, 0], [-6, -2], [0, 0], [0, 0], [0, 0], [-4, -2], [0, 0], [-4, -2], [0, 0], [0, 0], [0, 0], [0, 4], [0, 0], [-1, -1], [0, 0], [0, 0], [0, 0], [-4, 2], [0, 0], [-3, 2], [0, 0], [0, 0], [0, 0], [9, -3], [0, 0], [-8, -4], [0, 0], [0, 0], [0, 0], [4, 2], [0, 0], [-4, -6], [0, 0], [0, 0], [0, 0], [4, 0], [0, 0], [-1, 3], [0, 0], [0, 0], [0, 0], [-4, 4], [0, 0], [-6, 0], [0, 0], [0, 0], [0, 0], [8, 4], [0, 0], [3, 7], [0, 0], [0, 0], [0, 0], [-6, 6], [0, 0], [-4, -2], [0, 0], [0, 0], [0, 0], [-1, 3], [0, 0], [-4, 0], [0, 0], [0, 0], [0, 0], [0, -2], [0, 0], [-2, 0], [0, 0], [0, 0], [0, 0]], 'ap': [[0, 0], [0, 0], [1, 1], [-1, -1], [-2, -2], [-2, 2], [-1, -1], [-3, 1], [-1, 0], [2, -2], [-6, -2], [-4, -2], [0, 4], [-1, -1], [-4, 2], [9, -3], [4, 2], [-4, -6], [-1, 3], [-4, 4], [-6, 0], [3, 7], [-6, 6], [-1, 3], [-2, 0], [4, -4], [-5, -1], [-6, -6], [-12, -2], [3, -1], [2, 2], [0, 0], [-7, -7], [-4, 8], [3, 7], [8, -4], [12, 6], [-2, -6], [0, 0], [14, 2], [-16, 2], [-12, -6], [0, -12], [-2, -10], [18, 2], [-11, 5], [2, -14], [8, 4], [-10, 6], [-8, -6], [12, 4], [4, 12], [2, 0], [18, 6], [0, -12], [-16, 4], [18, 2], [10, 10], [14, -4], [9, 9], [-1, -5], [7, 7], [-10, 2], [0, -2], [26, 4], [-6, -2], [-2, -2], [14, -8], [8, -6], [-2, 6], [-6, 2], [12, -8], [15, -13], [4, 6], [11, -5], [-12, -4], [7, -9], [14, 8], [-33, -1], [2, 2], [14, -6], [16, 6], [-24, -4], [-2, -4], [-8, -16], [8, 16], [-20, 8], [10, 0], [10, -6], [-20, -4], [14, 10], [0, -12], [4, 12], [8, 6], [-10, 2], [4, -8], [18, -10], [-21, -1], [3, 15], [-6, -14], [30, 6], [3, -13], [-18, -2], [-35, 1], [1, 17], [-18, -2], [-8, 0], [-28, 0], [20, -12], [-10, -10], [8, 4], [-8, 10], [-9, 3], [25, 1], [-11, -3], [3, 3], [-17, 7], [40, 2], [-24, -8], [-22, -2], [-8, 18], [22, 2], [-17, 11], [16, -16], [-10, -2], [9, 9], [4, -10], [-16, 2], [-15, 13], [-20, 18], [-40, 0], [36, 4], [-9, 23], [-12, 18], [-10, -18], [-34, -8], [15, -13], [15, -17], [1, 29], [-26, -2], [-38, -6], [12, 12], [-26, -6], [-18, 10], [-22, 18], [-12, -16], [2, -8], [4, -4], [-28, 12], [-24, -10], [22, -12], [21, -11], [-18, 6], [36, -2], [-13, -17], [-48, -4], [1, -7], [4, -16], [-2, -20], [-3, -19], [8, -22], [-31, -3], [34, -10], [-18, -2], [-45, -9], [-8, 20], [-18, 10], [14, 14], [-22, 4], [8, 24], [50, 6], [-2, 12], [24, 8], [-54, 0], [-34, 6], [-37, 3], [4, 20], [20, -8], [-19, 21], [-20, -14], [-2, 18], [-54, 2], [-6, 4], [30, -10], [-28, 0], [-7, -3], [-30, -16], [-33, -17], [14, 0], [4, 30], [22, 8], [8, -16], [31, -17], [-24, -20], [14, 10], [-11, 25], [-14, 12], [-4, -30], [27, 19], [-8, 0], [-33, -9], [30, 6], [-2, -36], [2, 12], [-6, 26], [6, 2], [-19, -15], [-36, -6], [4, -16], [-2, 2], [54, 0], [48, -4], [-39, -11], [6, -30], [28, -4], [-6, -28], [28, -16], [54, -10], [-20, -4], [24, -12], [-2, -6], [-19, -15], [-6, 26], [21, -19], [-60, -4], [18, 6], [59, -1], [-12, -14], [47, -9], [-24, 8], [-22, -6], [-25, 19], [19, 3], [6, 26], [45, 5], [-32, -4], [-38, -12], [41, -11], [52, 12], [28, -6], [-18, 14], [22, -22], [10, 38], [34, 6], [12, -28], [-32, 16], [-38, 2], [46, 2], [-13, -9], [-28, -20], [48, 10], [11, -21], [-8, 32], [-10, 28], [36, 0], [-56, -8], [-4, 2], [-19, -3], [42, 2], [14, 30], [37, 5], [-26, 22], [-22, 4], [-4, -26], [-48, 0], [21, -3], [25, -19], [59, 3], [23, -5], [6, 6], [22, 4], [19, 27], [6, -40], [21, 9], [18, -8], [24, -24], [20, 10], [-14, 32], [18, 24], [-54, 2], [-24, -18], [-29, 15], [-4, -16], [-52, 6], [30, -6], [-24, 10], [-2, -4], [3, 11], [-20, -4], [18, -2], [-41, 3], [-14, -6], [54, 2], [-14, -14], [14, 6], [-7, 25], [-73, 7], [-24, -16], [40, -16], [-48, -4], [30, -8], [27, 19], [-23, 13], [12, 38], [-35, -15], [26, 22], [36, -4], [-20, 22], [32, 28], [34, -2], [0, 6], [-61, -5], [19, -33], [-28, 0], [-20, -28], [-30, 8], [-36, 20], [12, 30], [-86, 0], [16, 20], [-25, -25], [-14, -24], [-8, 4], [-24, -20], [45, 9], [-18, -16], [-5, -29], [28, 0], [-28, 16], [-3, 1], [-86, -4], [16, -24], [-76, 4], [4, 44], [-29, -33], [16, -6], [56, 2], [5, -27], [-46, 6], [23, 11], [-14, 22], [-13, -13], [-12, 8], [-5, 19], [-49, 19], [16, -40], [-10, -6], [-46, 6], [-4, 0], [-21, -5], [0, 0], [26, -14], [-42, 6], [-37, 7], [-40, -6], [-14, -46], [-32, -24], [-14, -6], [26, -30], [-36, 2], [-16, 22], [62, -6], [8, 0], [78, 2], [32, 28], [-30, 0], [20, 8], [-5, 15], [38, -16], [24, -18], [-14, 30], [56, -16], [-23, 9], [-19, 21], [6, 32], [0, -32], [-4, 36], [-58, 16], [-21, 15], [-54, 22], [-39, 21], [17, 17], [46, -10], [-28, 32], [-85, 3], [4, -44], [-58, 6], [62, 12], [-7, 25], [-4, 36], [-34, -20], [22, 14], [68, -18], [-34, 6], [44, -20], [-34, 4], [23, -9], [-21, -41], [61, 17], [8, 12], [-22, -16], [38, 18], [31, 3], [45, 17], [-44, 0], [12, 24], [92, -6], [54, 2], [71, -5], [24, 30], [-10, 34], [0, 44], [54, 10], [11, -25], [6, 28], [18, 22], [-12, 26], [34, -26], [-81, -13], [-36, 4], [-39, 13], [72, -10], [24, -16], [-12, 6], [2, 24], [12, -28], [-6, 38], [-36, -20], [-18, -18], [36, -2]], 'char_orbit_index': 1, 'field_poly': [-3, 0, 1], 'hecke_orbit_code': 54043195562002040, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '1656.2.a.m', 'level': 1656, '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': [2, 4, 4, 3, 4, 2, 4, 5], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [3, 4, 4, 4, 4, 4, 4, 4], 'ALdims_old': [25, 38, 32, 29, 26, 36, 28, 31], 'Nk2': 6624, 'analytic_conductor': 13.223226574724032, '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': [1656, 1, [415, 829, 1289, 649], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 273, 'dim': 28, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11, 13], 'hecke_orbit_code': 33556088, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 4, 4], 'label': '1656.2.a', 'level': 1656, '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, 23], 'level_radical': 138, 'mf_dim': 304, 'mf_new_dim': 28, 'num_forms': 16, 'plus_dim': 11, 'prim_orbit_index': 1, 'relative_dim': 28, 'sturm_bound': 576, 'trace_bound': 13, 'trace_display': [0, 0, -2, 0], 'traces': [28, 0, 0, 0, -2, 0, 0, 0, 0, 0, -2, 0, 4, 0, 0, 0, 8, 0, 10, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -2, 0, 0, 0, 4, 0, 52, 0, 0, 0, -6, 0, 8, 0, 0, 0, 8, 0, -6, 0, 0, 0, -8, 0, 14, 0, 0, 0, 20, 0, -8, 0, 0, 0, -24, 0, 36, 0, 0, 0, 10, 0, 12, 0, 0, 0, 24, 0, 28, 0, 0, 0, 64, 0, 0, 0, 0, 0, -32, 0, 20, 0, 0, 0, -18, 0, -38, 0, 0, 0, 36, 0, -6, 0, 0, 0, 0, 0, 24, 0, 0, 0, 36, 0, 20, 0, 0, 0, 12, 0, -16, 0, 0, 0, 4, 0, 36, 0, 0, 0, -16, 0, 16, 0, 0, 0, 34, 0, 12, 0, 0, 0, -52, 0, -18, 0, 0, 0, -8, 0, 56, 0, 0, 0, 72, 0, 8, 0, 0, 0, 28, 0, -32, 0, 0, 0, 8, 0, -18, 0, 0, 0, 20, 0, 4, 0, 0, 0, -24, 0, -20, 0, 0, 0, 0, 0, -40, 0, 0, 0, 12, 0, -48, 0, 0, 0, -12, 0, 0, 0, 0, 0, 40, 0, -20, 0, 0, 0, -60, 0, 32, 0, 0, 0, -66, 0, -22, 0, 0, 0, -44, 0, 60, 0, 0, 0, -12, 0, -72, 0, 0, 0, -2, 0, -68, 0, 0, 0, -62, 0, 2, 0, 0, 0, 24, 0, -64, 0, 0, 0, -40, 0, 4, 0, 0, 0, -16, 0, 8, 0, 0, 0, -62, 0, 16, 0, 0, 0, 44, 0, 58, 0, 0, 0, -28, 0, -52, 0, 0, 0, -22, 0, -120, 0, 0, 0, 24, 0, 8, 0, 0, 0, -76, 0, -108, 0, 0, 0, -100, 0, 20, 0, 0, 0, 28, 0, -16, 0, 0, 0, -4, 0, 60, 0, 0, 0, 52, 0, -108, 0, 0, 0, -96, 0, -16, 0, 0, 0, -28, 0, -48, 0, 0, 0, -44, 0, -64, 0, 0, 0, -84, 0, -52, 0, 0, 0, 52, 0, 32, 0, 0, 0, 48, 0, 0, 0, 0, 0, 40, 0, 2, 0, 0, 0, -84, 0, -14, 0, 0, 0, 56, 0, -32, 0, 0, 0, 86, 0, 0, 0, 0, 0, -24, 0, -4, 0, 0, 0, -64, 0, -12, 0, 0, 0, 0, 0, -60, 0, 0, 0, 48, 0, -32, 0, 0, 0, -2, 0, 10, 0, 0, 0, 80, 0, 24, 0, 0, 0, 68, 0, 40, 0, 0, 0, -10, 0, -84, 0, 0, 0, 96, 0, 60, 0, 0, 0, 28, 0, -32, 0, 0, 0, -64, 0, -88, 0, 0, 0, -24, 0, -72, 0, 0, 0, -34, 0, 88, 0, 0, 0, 148, 0, 14, 0, 0, 0, 100, 0, -96, 0, 0, 0, -12, 0, 60, 0, 0, 0, 96, 0, -84, 0, 0, 0, -172, 0, -16, 0, 0, 0, -52, 0, -68, 0, 0, 0, -104, 0, -44, 0, 0, 0, 112, 0, -44, 0, 0, 0, -20, 0, 142, 0, 0, 0, -28, 0, 28, 0, 0, 0, 52, 0, -200, 0, 0, 0, 78, 0, 0, 0, 0, 0, -4, 0, -116, 0, 0, 0, -36, 0, -88, 0, 0, 0, 6, 0, 180, 0, 0, 0, -110, 0, -36, 0, 0, 0, 24, 0, 6, 0, 0, 0, 4, 0, -96, 0, 0, 0, -160, 0, 72, 0, 0, 0, 4, 0, 112, 0, 0, 0, -44, 0, 16, 0, 0, 0, -88, 0, 32, 0, 0, 0, 94, 0, 104, 0, 0, 0, -116, 0, 46, 0, 0, 0, -56, 0, 206, 0, 0, 0, 40, 0, 80, 0, 0, 0, -76, 0, -104, 0, 0, 0, 220, 0, -52, 0, 0, 0, 76, 0, 82, 0, 0, 0, 204, 0, -136, 0, 0, 0, -68, 0, 68, 0, 0, 0, 2, 0, 114, 0, 0, 0, 192, 0, -20, 0, 0, 0, -24, 0, 24, 0, 0, 0, -86, 0, 128, 0, 0, 0, 20, 0, -20, 0, 0, 0, 92, 0, -88, 0, 0, 0, -28, 0, -92, 0, 0, 0, 82, 0, 248, 0, 0, 0, -16, 0, 162, 0, 0, 0, -24, 0, -104, 0, 0, 0, 192, 0, 200, 0, 0, 0, 32, 0, -176, 0, 0, 0, 28, 0, 10, 0, 0, 0, -60, 0, -104, 0, 0, 0, -172, 0, 180, 0, 0, 0, 208, 0, 8, 0, 0, 0, 108, 0, -26, 0, 0, 0, -76, 0, 208, 0, 0, 0, 136, 0, 72, 0, 0, 0, -130, 0, 36, 0, 0, 0, -140, 0, -28, 0, 0, 0, -196, 0, -74, 0, 0, 0, -16, 0, 68, 0, 0, 0, -10, 0, 28, 0, 0, 0, -176, 0, 32, 0, 0, 0, 56, 0, -12, 0, 0, 0, -92, 0, -164, 0, 0, 0, 32, 0, 44, 0, 0, 0, -162, 0, 84, 0, 0, 0, 24, 0, 16, 0, 0, 0, -36, 0, -24, 0, 0, 0, 134, 0, 32, 0, 0, 0, 38, 0, 104, 0, 0, 0, -124, 0, -16, 0, 0, 0, -212, 0, 220, 0, 0, 0, 0, 0, 128, 0, 0, 0, 80, 0, 132, 0, 0, 0, 156, 0, -8, 0, 0, 0, -228, 0, 68, 0, 0, 0, -72, 0, 172, 0, 0, 0, 36, 0, 68, 0, 0, 0, -172, 0, -10, 0, 0, 0, 180, 0, 44, 0, 0, 0, 228, 0, 80, 0, 0, 0, 100, 0, 142, 0, 0, 0, -8, 0, 74, 0, 0, 0, 176, 0, -148, 0, 0, 0, 158, 0, 4, 0, 0, 0, 0, 0, 180, 0, 0, 0, -132, 0, -40, 0, 0, 0, 40, 0, -32, 0, 0, 0, 104, 0, 156, 0, 0, 0, -14, 0, -44, 0, 0, 0, 72, 0, 172, 0, 0, 0, -188, 0, 16, 0, 0, 0, -30, 0, 56, 0, 0, 0, 40, 0, -20, 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: 782856
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': True, 'source_label': '1656.2.a.m', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 11, 'target_is_minimal': True, 'target_label': '1656.2.a.k', 'target_level': 1656, 'twist_class_label': '1656.2.a.k', 'twist_class_level': 1656, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 782857
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': True, 'source_label': '1656.2.a.m', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 13, 'target_is_minimal': True, 'target_label': '1656.2.a.m', 'target_level': 1656, 'twist_class_label': '1656.2.a.k', 'twist_class_level': 1656, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 782858
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': True, 'source_label': '1656.2.a.m', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 24, 'target_is_minimal': False, 'target_label': '3312.2.a.x', 'target_level': 3312, 'twist_class_label': '1656.2.a.k', 'twist_class_level': 1656, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 782859
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': True, 'source_label': '1656.2.a.m', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 30, 'target_is_minimal': False, 'target_label': '3312.2.a.bd', 'target_level': 3312, 'twist_class_label': '1656.2.a.k', 'twist_class_level': 1656, '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: 2108725
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 54043195562002040, 'p': 2}
  • id: 2108726
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 54043195562002040, 'p': 3}
  • id: 2108727
    {'charpoly_factorization': [[[-2, -2, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 5}
  • id: 2108728
    {'charpoly_factorization': [[[-2, 2, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 7}
  • id: 2108729
    {'charpoly_factorization': [[[-8, 4, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 11}
  • id: 2108730
    {'charpoly_factorization': [[[-8, 4, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 13}
  • id: 2108731
    {'charpoly_factorization': [[[-2, 2, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 17}
  • id: 2108732
    {'charpoly_factorization': [[[6, 6, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 19}
  • id: 2108733
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 54043195562002040, 'p': 23}
  • id: 2108734
    {'charpoly_factorization': [[[-8, -4, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 29}
  • id: 2108735
    {'charpoly_factorization': [[[24, 12, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 31}
  • id: 2108736
    {'charpoly_factorization': [[[4, 8, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 37}
  • id: 2108737
    {'charpoly_factorization': [[[-48, 0, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 41}
  • id: 2108738
    {'charpoly_factorization': [[[-2, 2, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 43}
  • id: 2108739
    {'charpoly_factorization': [[[4, 8, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 47}
  • id: 2108740
    {'charpoly_factorization': [[[54, -18, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 53}
  • id: 2108741
    {'charpoly_factorization': [[[4, -8, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 59}
  • id: 2108742
    {'charpoly_factorization': [[[-92, 8, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 61}
  • id: 2108743
    {'charpoly_factorization': [[[-26, 2, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 67}
  • id: 2108744
    {'charpoly_factorization': [[[-32, 8, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 71}
  • id: 2108745
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 54043195562002040, 'p': 73}
  • id: 2108746
    {'charpoly_factorization': [[[-138, -6, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 79}
  • id: 2108747
    {'charpoly_factorization': [[[-72, 12, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 83}
  • id: 2108748
    {'charpoly_factorization': [[[-26, 2, 1], 1]], 'hecke_orbit_code': 54043195562002040, 'p': 89}
  • id: 2108749
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 54043195562002040, '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': 13, 'label': '1656.2.a.m', 'level': 1656, '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: 57086605
    {'hecke_orbit_code': 54043195562002040, 'n': 1, 'trace_an': 2}
  • id: 57086606
    {'hecke_orbit_code': 54043195562002040, 'n': 2, 'trace_an': 0}
  • id: 57086607
    {'hecke_orbit_code': 54043195562002040, 'n': 3, 'trace_an': 0}
  • id: 57086608
    {'hecke_orbit_code': 54043195562002040, 'n': 4, 'trace_an': 0}
  • id: 57086609
    {'hecke_orbit_code': 54043195562002040, 'n': 5, 'trace_an': 2}
  • id: 57086610
    {'hecke_orbit_code': 54043195562002040, 'n': 6, 'trace_an': 0}
  • id: 57086611
    {'hecke_orbit_code': 54043195562002040, 'n': 7, 'trace_an': -2}
  • id: 57086612
    {'hecke_orbit_code': 54043195562002040, 'n': 8, 'trace_an': 0}
  • id: 57086613
    {'hecke_orbit_code': 54043195562002040, 'n': 9, 'trace_an': 0}
  • id: 57086614
    {'hecke_orbit_code': 54043195562002040, 'n': 10, 'trace_an': 0}
  • id: 57086615
    {'hecke_orbit_code': 54043195562002040, 'n': 11, 'trace_an': -4}
  • id: 57086616
    {'hecke_orbit_code': 54043195562002040, 'n': 12, 'trace_an': 0}
  • id: 57086617
    {'hecke_orbit_code': 54043195562002040, 'n': 13, 'trace_an': -4}
  • id: 57086618
    {'hecke_orbit_code': 54043195562002040, 'n': 14, 'trace_an': 0}
  • id: 57086619
    {'hecke_orbit_code': 54043195562002040, 'n': 15, 'trace_an': 0}
  • id: 57086620
    {'hecke_orbit_code': 54043195562002040, 'n': 16, 'trace_an': 0}
  • id: 57086621
    {'hecke_orbit_code': 54043195562002040, 'n': 17, 'trace_an': -2}
  • id: 57086622
    {'hecke_orbit_code': 54043195562002040, 'n': 18, 'trace_an': 0}
  • id: 57086623
    {'hecke_orbit_code': 54043195562002040, 'n': 19, 'trace_an': -6}
  • id: 57086624
    {'hecke_orbit_code': 54043195562002040, 'n': 20, 'trace_an': 0}
  • id: 57086625
    {'hecke_orbit_code': 54043195562002040, 'n': 21, 'trace_an': 0}
  • id: 57086626
    {'hecke_orbit_code': 54043195562002040, 'n': 22, 'trace_an': 0}
  • id: 57086627
    {'hecke_orbit_code': 54043195562002040, 'n': 23, 'trace_an': -2}
  • id: 57086628
    {'hecke_orbit_code': 54043195562002040, 'n': 24, 'trace_an': 0}
  • id: 57086629
    {'hecke_orbit_code': 54043195562002040, 'n': 25, 'trace_an': -2}
  • id: 57086630
    {'hecke_orbit_code': 54043195562002040, 'n': 26, 'trace_an': 0}
  • id: 57086631
    {'hecke_orbit_code': 54043195562002040, 'n': 27, 'trace_an': 0}
  • id: 57086632
    {'hecke_orbit_code': 54043195562002040, 'n': 28, 'trace_an': 0}
  • id: 57086633
    {'hecke_orbit_code': 54043195562002040, 'n': 29, 'trace_an': 4}
  • id: 57086634
    {'hecke_orbit_code': 54043195562002040, 'n': 30, 'trace_an': 0}
  • id: 57086635
    {'hecke_orbit_code': 54043195562002040, 'n': 31, 'trace_an': -12}
  • id: 57086636
    {'hecke_orbit_code': 54043195562002040, 'n': 32, 'trace_an': 0}
  • id: 57086637
    {'hecke_orbit_code': 54043195562002040, 'n': 33, 'trace_an': 0}
  • id: 57086638
    {'hecke_orbit_code': 54043195562002040, 'n': 34, 'trace_an': 0}
  • id: 57086639
    {'hecke_orbit_code': 54043195562002040, 'n': 35, 'trace_an': -8}
  • id: 57086640
    {'hecke_orbit_code': 54043195562002040, 'n': 36, 'trace_an': 0}
  • id: 57086641
    {'hecke_orbit_code': 54043195562002040, 'n': 37, 'trace_an': -8}
  • id: 57086642
    {'hecke_orbit_code': 54043195562002040, 'n': 38, 'trace_an': 0}
  • id: 57086643
    {'hecke_orbit_code': 54043195562002040, 'n': 39, 'trace_an': 0}
  • id: 57086644
    {'hecke_orbit_code': 54043195562002040, 'n': 40, 'trace_an': 0}
  • id: 57086645
    {'hecke_orbit_code': 54043195562002040, 'n': 41, 'trace_an': 0}
  • id: 57086646
    {'hecke_orbit_code': 54043195562002040, 'n': 42, 'trace_an': 0}
  • id: 57086647
    {'hecke_orbit_code': 54043195562002040, 'n': 43, 'trace_an': -2}
  • id: 57086648
    {'hecke_orbit_code': 54043195562002040, 'n': 44, 'trace_an': 0}
  • id: 57086649
    {'hecke_orbit_code': 54043195562002040, 'n': 45, 'trace_an': 0}
  • id: 57086650
    {'hecke_orbit_code': 54043195562002040, 'n': 46, 'trace_an': 0}
  • id: 57086651
    {'hecke_orbit_code': 54043195562002040, 'n': 47, 'trace_an': -8}
  • id: 57086652
    {'hecke_orbit_code': 54043195562002040, 'n': 48, 'trace_an': 0}
  • id: 57086653
    {'hecke_orbit_code': 54043195562002040, 'n': 49, 'trace_an': -6}
  • id: 57086654
    {'hecke_orbit_code': 54043195562002040, 'n': 50, 'trace_an': 0}
  • id: 57086655
    {'hecke_orbit_code': 54043195562002040, 'n': 51, 'trace_an': 0}
  • id: 57086656
    {'hecke_orbit_code': 54043195562002040, 'n': 52, 'trace_an': 0}
  • id: 57086657
    {'hecke_orbit_code': 54043195562002040, 'n': 53, 'trace_an': 18}
  • id: 57086658
    {'hecke_orbit_code': 54043195562002040, 'n': 54, 'trace_an': 0}
  • id: 57086659
    {'hecke_orbit_code': 54043195562002040, 'n': 55, 'trace_an': -16}
  • id: 57086660
    {'hecke_orbit_code': 54043195562002040, 'n': 56, 'trace_an': 0}
  • id: 57086661
    {'hecke_orbit_code': 54043195562002040, 'n': 57, 'trace_an': 0}
  • id: 57086662
    {'hecke_orbit_code': 54043195562002040, 'n': 58, 'trace_an': 0}
  • id: 57086663
    {'hecke_orbit_code': 54043195562002040, 'n': 59, 'trace_an': 8}
  • id: 57086664
    {'hecke_orbit_code': 54043195562002040, 'n': 60, 'trace_an': 0}
  • id: 57086665
    {'hecke_orbit_code': 54043195562002040, 'n': 61, 'trace_an': -8}
  • id: 57086666
    {'hecke_orbit_code': 54043195562002040, 'n': 62, 'trace_an': 0}
  • id: 57086667
    {'hecke_orbit_code': 54043195562002040, 'n': 63, 'trace_an': 0}
  • id: 57086668
    {'hecke_orbit_code': 54043195562002040, 'n': 64, 'trace_an': 0}
  • id: 57086669
    {'hecke_orbit_code': 54043195562002040, 'n': 65, 'trace_an': 8}
  • id: 57086670
    {'hecke_orbit_code': 54043195562002040, 'n': 66, 'trace_an': 0}
  • id: 57086671
    {'hecke_orbit_code': 54043195562002040, 'n': 67, 'trace_an': -2}
  • id: 57086672
    {'hecke_orbit_code': 54043195562002040, 'n': 68, 'trace_an': 0}
  • id: 57086673
    {'hecke_orbit_code': 54043195562002040, 'n': 69, 'trace_an': 0}
  • id: 57086674
    {'hecke_orbit_code': 54043195562002040, 'n': 70, 'trace_an': 0}
  • id: 57086675
    {'hecke_orbit_code': 54043195562002040, 'n': 71, 'trace_an': -8}
  • id: 57086676
    {'hecke_orbit_code': 54043195562002040, 'n': 72, 'trace_an': 0}
  • id: 57086677
    {'hecke_orbit_code': 54043195562002040, 'n': 73, 'trace_an': -12}
  • id: 57086678
    {'hecke_orbit_code': 54043195562002040, 'n': 74, 'trace_an': 0}
  • id: 57086679
    {'hecke_orbit_code': 54043195562002040, 'n': 75, 'trace_an': 0}
  • id: 57086680
    {'hecke_orbit_code': 54043195562002040, 'n': 76, 'trace_an': 0}
  • id: 57086681
    {'hecke_orbit_code': 54043195562002040, 'n': 77, 'trace_an': 16}
  • id: 57086682
    {'hecke_orbit_code': 54043195562002040, 'n': 78, 'trace_an': 0}
  • id: 57086683
    {'hecke_orbit_code': 54043195562002040, 'n': 79, 'trace_an': 6}
  • id: 57086684
    {'hecke_orbit_code': 54043195562002040, 'n': 80, 'trace_an': 0}
  • id: 57086685
    {'hecke_orbit_code': 54043195562002040, 'n': 81, 'trace_an': 0}
  • id: 57086686
    {'hecke_orbit_code': 54043195562002040, 'n': 82, 'trace_an': 0}
  • id: 57086687
    {'hecke_orbit_code': 54043195562002040, 'n': 83, 'trace_an': -12}
  • id: 57086688
    {'hecke_orbit_code': 54043195562002040, 'n': 84, 'trace_an': 0}
  • id: 57086689
    {'hecke_orbit_code': 54043195562002040, 'n': 85, 'trace_an': -8}
  • id: 57086690
    {'hecke_orbit_code': 54043195562002040, 'n': 86, 'trace_an': 0}
  • id: 57086691
    {'hecke_orbit_code': 54043195562002040, 'n': 87, 'trace_an': 0}
  • id: 57086692
    {'hecke_orbit_code': 54043195562002040, 'n': 88, 'trace_an': 0}
  • id: 57086693
    {'hecke_orbit_code': 54043195562002040, 'n': 89, 'trace_an': -2}
  • id: 57086694
    {'hecke_orbit_code': 54043195562002040, 'n': 90, 'trace_an': 0}
  • id: 57086695
    {'hecke_orbit_code': 54043195562002040, 'n': 91, 'trace_an': -8}
  • id: 57086696
    {'hecke_orbit_code': 54043195562002040, 'n': 92, 'trace_an': 0}
  • id: 57086697
    {'hecke_orbit_code': 54043195562002040, 'n': 93, 'trace_an': 0}
  • id: 57086698
    {'hecke_orbit_code': 54043195562002040, 'n': 94, 'trace_an': 0}
  • id: 57086699
    {'hecke_orbit_code': 54043195562002040, 'n': 95, 'trace_an': 0}
  • id: 57086700
    {'hecke_orbit_code': 54043195562002040, 'n': 96, 'trace_an': 0}
  • id: 57086701
    {'hecke_orbit_code': 54043195562002040, 'n': 97, 'trace_an': -4}
  • id: 57086702
    {'hecke_orbit_code': 54043195562002040, 'n': 98, 'trace_an': 0}
  • id: 57086703
    {'hecke_orbit_code': 54043195562002040, 'n': 99, 'trace_an': 0}
  • id: 57086704
    {'hecke_orbit_code': 54043195562002040, 'n': 100, 'trace_an': 0}