Newform data - 1656.2.a.a

Formats: - HTML - YAML - JSON - 2026-09-21T21:18:42.620558

• 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': 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, [-2, 1]], [11, [0, 1]], [13, [-2, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 33556088, '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': '1656.2.a.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, 'minimal_twist': '552.2.a.d', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-4q^{5}+2q^{7}+2q^{13}+4q^{17}-6q^{19}+\\cdots', 'related_objects': ['EllipticCurve/Q/1656/a'], 'relative_dim': 1, '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, -4, 2], 'trace_hash': 402848068248960103, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '0.958', 'prec': 10}, 0, {'__RealLiteral__': 0, 'data': '1.903', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '4.754', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.018', 'prec': 7}, 'traces': [1, 0, 0, 0, -4, 0, 2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 4, 0, -6, 0, 0, 0, -1, 0, 11, 0, 0, 0, -10, 0, 4, 0, 0, 0, -8, 0, -2, 0, 0, 0, 6, 0, -6, 0, 0, 0, -8, 0, -3, 0, 0, 0, -8, 0, 0, 0, 0, 0, 4, 0, -2, 0, 0, 0, -8, 0, 6, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, -10, 0, 0, 0, -16, 0, -16, 0, 0, 0, 0, 0, 4, 0, 0, 0, 24, 0, -18, 0, 0, 0, -6, 0, -2, 0, 0, 0, 16, 0, 2, 0, 0, 0, -16, 0, 4, 0, 0, 0, 8, 0, -11, 0, 0, 0, -24, 0, -12, 0, 0, 0, 20, 0, -12, 0, 0, 0, 16, 0, 12, 0, 0, 0, 0, 0, 40, 0, 0, 0, 12, 0, 0, 0, 0, 0, -16, 0, -10, 0, 0, 0, -2, 0, 16, 0, 0, 0, -8, 0, -9, 0, 0, 0, 6, 0, 22, 0, 0, 0, -12, 0, 2, 0, 0, 0, 8, 0, 0, 0, 0, 0, 12, 0, 14, 0, 0, 0, -18, 0, -10, 0, 0, 0, -20, 0, -24, 0, 0, 0, 0, 0, 16, 0, 0, 0, 24, 0, 8, 0, 0, 0, 8, 0, 24, 0, 0, 0, -12, 0, -22, 0, 0, 0, 22, 0, 32, 0, 0, 0, 24, 0, -10, 0, 0, 0, 12, 0, -12, 0, 0, 0, -4, 0, 0, 0, 0, 0, 6, 0, -4, 0, 0, 0, -12, 0, 32, 0, 0, 0, 6, 0, -20, 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0, -52, 0, -48, 0, 0, 0, -84, 0, 26, 0, 0, 0, -48, 0, -64, 0, 0, 0, -64, 0, 4, 0, 0, 0, 48, 0, 28, 0, 0, 0, 48, 0, 0, 0, 0, 0, 2, 0, 4, 0, 0, 0, 144, 0, 70, 0, 0, 0, 54, 0, 14, 0, 0, 0, 0, 0, 30, 0, 0, 0, -70, 0, -64, 0, 0, 0, 28, 0, -19, 0, 0, 0, 16, 0, 160, 0, 0, 0, 4, 0, 72, 0, 0, 0, -78, 0, 24, 0, 0, 0, -24, 0, -198, 0, 0, 0, 40, 0, 0, 0, 0, 0, -128, 0, -34, 0, 0, 0, 58, 0, 4, 0, 0, 0, -16, 0, -40, 0, 0, 0, 0, 0, 48, 0, 0, 0, -60, 0, -16, 0, 0, 0, 160, 0, 44, 0, 0, 0, 20, 0, -38, 0, 0, 0, 2, 0, -12, 0, 0, 0, 24, 0, 0, 0, 0, 0, -120, 0, 64, 0, 0, 0, -64, 0, 0, 0, 0, 0, -12, 0, -18, 0, 0, 0, -2, 0, 28, 0, 0, 0, -40, 0, 96, 0, 0, 0, 0, 0, -46, 0, 0, 0, -66, 0, 34, 0, 0, 0, -36, 0, 48, 0, 0, 0, -24, 0, -16, 0, 0, 0, -40, 0, 72, 0, 0, 0, -36, 0, -74, 0, 0, 0, 112, 0, -18, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, -64, 0, -22, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 24, 0, -14, 0, 0, 0, 24, 0, 16, 0, 0, 0, -96, 0, 96, 0, 0, 0, 0, 0, 28, 0, 0, 0, -88, 0, 86, 0, 0, 0, 56, 0, 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0, 0, 0, 0, 14, 0, 0, 0, 12, 0, 20, 0, 0, 0, 8, 0, 60, 0, 0, 0, 32, 0, -112, 0, 0, 0, -92, 0, 24, 0, 0, 0, 96, 0, 4, 0, 0, 0, -24, 0, 26, 0, 0, 0, 2, 0, 0, 0, 0, 0, -36, 0, 168, 0, 0, 0, -42, 0, -88, 0, 0, 0, 88, 0, -44, 0, 0, 0, 0, 0, 60, 0, 0, 0, 20, 0, 6, 0, 0, 0, -84, 0, 0, 0, 0, 0, 32, 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], [2], [0], [0], [0], [0], [0], [2], [0], [0], [0], [4], [0], [-6], [0], [0], [0], [-1], [0], [11], [0], [0], [0], [-10], [0], [4], [0], [0], [0], [-8], [0], [-2], [0], [0], [0], [6], [0], [-6], [0], [0], [0], [-8], [0], [-3], [0], [0], [0], [-8], [0], [0], [0], [0], [0], [4], [0], [-2], [0], [0], [0], [-8], [0], [6], [0], [0], [0], [0], [0], [-14], [0], [0], [0], [0], [0], [-10], [0], [0], [0], [-16], [0], [-16], [0], [0], [0], [0], [0], [4], [0], [0], [0], [24], [0], [-18], [0], [0], [0]], 'ap': [[0], [0], [-4], [2], [0], [2], [4], [-6], [-1], [-10], [4], [-2], [6], [-6], [-8], [-8], [4], [-2], [6], [0], [-14], [-10], [-16], [0], [-18], [-6], [-2], [16], [2], [-16], [-12], [20], [16], [12], [12], [0], [-10], [16], [-8], [6], [-12], [2], [12], [14], [-18], [-10], [16], [24], [-12], [-22], [22], [24], [-10], [-4], [6], [-12], [6], [-20], [-2], [24], [14], [-24], [-8], [-32], [-6], [-26], [8], [14], [20], [2], [10], [-20], [22], [14], [-30], [20], [8], [-18], [-36], [-26], [16], [2], [8], [26], [-32], [36], [30], [6], [-18], [32], [12], [16], [32], [-12], [16], [-24], [-18], [-24], [22], [34], [32], [8], [4], [-28], [-18], [-2], [28], [-42], [0], [6], [32], [46], [-24], [-18], [14], [-12], [-46], [24], [-30], [-4], [-26], [-26], [-36], [-28], [-8], [-4], [2], [-16], [-6], [-30], [-12], [-36], [10], [50], [18], [50], [-28], [-46], [8], [-30], [16], [18], [36], [-12], [34], [-20], [-42], [30], [44], [0], [-2], [0], [24], [8], [-26], [-16], [-50], [-2], [-30], [4], [-12], [-36], [-28], [20], [40], [-24], [44], [26], [-2], [-14], [12], [-2], [60], [-34], [-20], [4], [-44], [-38], [14], [22], [36], [20], [30], [-6], [-16], [24], [14], [-22], [34], [-32], [-14], [-44], [42], [-54], [16], [60], [50], [26], [-12], [48], [64], [12], [-50], [46], [24], [-10], [-46], [12], [54], [-32], [2], [2], [-38], [64], [0], [-70], [32], [10], [24], [26], [-22], [10], [-30], [38], [36], [-30], [-56], [0], [18], [-12], [50], [6], [-62], [-30], [62], [-16], [38], [8], [28], [56], [-4], [32], [4], [74], [14], [-64], [28], [48], [-50], [72], [18], [-36], [4], [-34], [10], [-36], [26], [-18], [-2], [6], [-26], [24], [30], [-58], [14], [38], [-8], [-52], [46], [-26], [14], [2], [-82], [-46], [26], [-80], [-68], [30], [2], [-16], [56], [-10], [-28], [30], [-56], [8], [-10], [80], [64], [-6], [-36], [16], [34], [-20], [-46], [4], [74], [42], [12], [12], [-14], [8], [-30], [-44], [-70], [-2], [4], [-30], [60], [-62], [0], [-16], [32], [20], [-72], [-10], [-68], [-40], [-26], [-18], [10], [-22], [10], [88], [60], [-26], [-86], [52], [-24], [32], [70], [-6], [-64], [12], [-74], [4], [78], [16], [-58], [62], [34], [60], [-30], [10], [-52], [-84], [26], [-64], [-64], [48], [4], [70], [54], [14], [30], [-70], [28], [4], [-78], [-24], [-34], [58], [-16], [-60], [44], [-38], [2], [-18], [-46], [-36], [-16], [-40], [-36], [-74], [-18], [-36], [24], [-14], [0], [86], [56], [-72], [-76], [38], [-22], [24], [68], [14], [38], [-56], [6], [70], [-28], [-56], [80], [-42], [66], [-56], [34], [-6], [-98], [66], [22], [-12], [-30], [-16], [-30], [-38], [94], [-60], [6], [-22], [-16], [38], [-2], [22], [-24], [52], [-16], [76], [-56], [14], [8], [-92], [26], [2], [-36], [-42], [-88], [32]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 33556088, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '1656.2.a.a', '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: 782756
    {'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': '1656.2.a.a', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '552.2.a.d', 'target_level': 552, 'twist_class_label': '552.2.a.d', 'twist_class_level': 552, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 782757
    {'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': '1656.2.a.a', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '1104.2.a.i', 'target_level': 1104, 'twist_class_label': '552.2.a.d', 'twist_class_level': 552, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 782758
    {'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': '1656.2.a.a', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1656.2.a.a', 'target_level': 1656, 'twist_class_label': '552.2.a.d', 'twist_class_level': 552, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 782759
    {'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': '1656.2.a.a', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '3312.2.a.a', 'target_level': 3312, 'twist_class_label': '552.2.a.d', 'twist_class_level': 552, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 782760
    {'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': '1656.2.a.a', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '4416.2.a.a', 'target_level': 4416, 'twist_class_label': '552.2.a.d', 'twist_class_level': 552, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 782761
    {'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': '1656.2.a.a', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '4416.2.a.p', 'target_level': 4416, 'twist_class_label': '552.2.a.d', 'twist_class_level': 552, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2108400
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 2}
  • id: 2108401
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 3}
  • id: 2108402
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 5}
  • id: 2108403
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 7}
  • id: 2108404
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 11}
  • id: 2108405
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 13}
  • id: 2108406
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 17}
  • id: 2108407
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 19}
  • id: 2108408
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 23}
  • id: 2108409
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 29}
  • id: 2108410
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 31}
  • id: 2108411
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 37}
  • id: 2108412
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 41}
  • id: 2108413
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 43}
  • id: 2108414
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 47}
  • id: 2108415
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 53}
  • id: 2108416
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 59}
  • id: 2108417
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 61}
  • id: 2108418
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 67}
  • id: 2108419
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 71}
  • id: 2108420
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 73}
  • id: 2108421
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 79}
  • id: 2108422
    {'charpoly_factorization': [[[16, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 83}
  • id: 2108423
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33556088, 'p': 89}
  • id: 2108424
    {'charpoly_factorization': [[[18, 1], 1]], 'hecke_orbit_code': 33556088, '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': '1656.2.a.a', 'level': 1656, '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: 422346
    {'hecke_orbit_code': 33556088, 'n': 1, 'trace_an': 1}
  • id: 422347
    {'hecke_orbit_code': 33556088, 'n': 2, 'trace_an': 0}
  • id: 422348
    {'hecke_orbit_code': 33556088, 'n': 3, 'trace_an': 0}
  • id: 422349
    {'hecke_orbit_code': 33556088, 'n': 4, 'trace_an': 0}
  • id: 422350
    {'hecke_orbit_code': 33556088, 'n': 5, 'trace_an': -4}
  • id: 422351
    {'hecke_orbit_code': 33556088, 'n': 6, 'trace_an': 0}
  • id: 422352
    {'hecke_orbit_code': 33556088, 'n': 7, 'trace_an': 2}
  • id: 422353
    {'hecke_orbit_code': 33556088, 'n': 8, 'trace_an': 0}
  • id: 422354
    {'hecke_orbit_code': 33556088, 'n': 9, 'trace_an': 0}
  • id: 422355
    {'hecke_orbit_code': 33556088, 'n': 10, 'trace_an': 0}
  • id: 422356
    {'hecke_orbit_code': 33556088, 'n': 11, 'trace_an': 0}
  • id: 422357
    {'hecke_orbit_code': 33556088, 'n': 12, 'trace_an': 0}
  • id: 422358
    {'hecke_orbit_code': 33556088, 'n': 13, 'trace_an': 2}
  • id: 422359
    {'hecke_orbit_code': 33556088, 'n': 14, 'trace_an': 0}
  • id: 422360
    {'hecke_orbit_code': 33556088, 'n': 15, 'trace_an': 0}
  • id: 422361
    {'hecke_orbit_code': 33556088, 'n': 16, 'trace_an': 0}
  • id: 422362
    {'hecke_orbit_code': 33556088, 'n': 17, 'trace_an': 4}
  • id: 422363
    {'hecke_orbit_code': 33556088, 'n': 18, 'trace_an': 0}
  • id: 422364
    {'hecke_orbit_code': 33556088, 'n': 19, 'trace_an': -6}
  • id: 422365
    {'hecke_orbit_code': 33556088, 'n': 20, 'trace_an': 0}
  • id: 422366
    {'hecke_orbit_code': 33556088, 'n': 21, 'trace_an': 0}
  • id: 422367
    {'hecke_orbit_code': 33556088, 'n': 22, 'trace_an': 0}
  • id: 422368
    {'hecke_orbit_code': 33556088, 'n': 23, 'trace_an': -1}
  • id: 422369
    {'hecke_orbit_code': 33556088, 'n': 24, 'trace_an': 0}
  • id: 422370
    {'hecke_orbit_code': 33556088, 'n': 25, 'trace_an': 11}
  • id: 422371
    {'hecke_orbit_code': 33556088, 'n': 26, 'trace_an': 0}
  • id: 422372
    {'hecke_orbit_code': 33556088, 'n': 27, 'trace_an': 0}
  • id: 422373
    {'hecke_orbit_code': 33556088, 'n': 28, 'trace_an': 0}
  • id: 422374
    {'hecke_orbit_code': 33556088, 'n': 29, 'trace_an': -10}
  • id: 422375
    {'hecke_orbit_code': 33556088, 'n': 30, 'trace_an': 0}
  • id: 422376
    {'hecke_orbit_code': 33556088, 'n': 31, 'trace_an': 4}
  • id: 422377
    {'hecke_orbit_code': 33556088, 'n': 32, 'trace_an': 0}
  • id: 422378
    {'hecke_orbit_code': 33556088, 'n': 33, 'trace_an': 0}
  • id: 422379
    {'hecke_orbit_code': 33556088, 'n': 34, 'trace_an': 0}
  • id: 422380
    {'hecke_orbit_code': 33556088, 'n': 35, 'trace_an': -8}
  • id: 422381
    {'hecke_orbit_code': 33556088, 'n': 36, 'trace_an': 0}
  • id: 422382
    {'hecke_orbit_code': 33556088, 'n': 37, 'trace_an': -2}
  • id: 422383
    {'hecke_orbit_code': 33556088, 'n': 38, 'trace_an': 0}
  • id: 422384
    {'hecke_orbit_code': 33556088, 'n': 39, 'trace_an': 0}
  • id: 422385
    {'hecke_orbit_code': 33556088, 'n': 40, 'trace_an': 0}
  • id: 422386
    {'hecke_orbit_code': 33556088, 'n': 41, 'trace_an': 6}
  • id: 422387
    {'hecke_orbit_code': 33556088, 'n': 42, 'trace_an': 0}
  • id: 422388
    {'hecke_orbit_code': 33556088, 'n': 43, 'trace_an': -6}
  • id: 422389
    {'hecke_orbit_code': 33556088, 'n': 44, 'trace_an': 0}
  • id: 422390
    {'hecke_orbit_code': 33556088, 'n': 45, 'trace_an': 0}
  • id: 422391
    {'hecke_orbit_code': 33556088, 'n': 46, 'trace_an': 0}
  • id: 422392
    {'hecke_orbit_code': 33556088, 'n': 47, 'trace_an': -8}
  • id: 422393
    {'hecke_orbit_code': 33556088, 'n': 48, 'trace_an': 0}
  • id: 422394
    {'hecke_orbit_code': 33556088, 'n': 49, 'trace_an': -3}
  • id: 422395
    {'hecke_orbit_code': 33556088, 'n': 50, 'trace_an': 0}
  • id: 422396
    {'hecke_orbit_code': 33556088, 'n': 51, 'trace_an': 0}
  • id: 422397
    {'hecke_orbit_code': 33556088, 'n': 52, 'trace_an': 0}
  • id: 422398
    {'hecke_orbit_code': 33556088, 'n': 53, 'trace_an': -8}
  • id: 422399
    {'hecke_orbit_code': 33556088, 'n': 54, 'trace_an': 0}
  • id: 422400
    {'hecke_orbit_code': 33556088, 'n': 55, 'trace_an': 0}
  • id: 422401
    {'hecke_orbit_code': 33556088, 'n': 56, 'trace_an': 0}
  • id: 422402
    {'hecke_orbit_code': 33556088, 'n': 57, 'trace_an': 0}
  • id: 422403
    {'hecke_orbit_code': 33556088, 'n': 58, 'trace_an': 0}
  • id: 422404
    {'hecke_orbit_code': 33556088, 'n': 59, 'trace_an': 4}
  • id: 422405
    {'hecke_orbit_code': 33556088, 'n': 60, 'trace_an': 0}
  • id: 422406
    {'hecke_orbit_code': 33556088, 'n': 61, 'trace_an': -2}
  • id: 422407
    {'hecke_orbit_code': 33556088, 'n': 62, 'trace_an': 0}
  • id: 422408
    {'hecke_orbit_code': 33556088, 'n': 63, 'trace_an': 0}
  • id: 422409
    {'hecke_orbit_code': 33556088, 'n': 64, 'trace_an': 0}
  • id: 422410
    {'hecke_orbit_code': 33556088, 'n': 65, 'trace_an': -8}
  • id: 422411
    {'hecke_orbit_code': 33556088, 'n': 66, 'trace_an': 0}
  • id: 422412
    {'hecke_orbit_code': 33556088, 'n': 67, 'trace_an': 6}
  • id: 422413
    {'hecke_orbit_code': 33556088, 'n': 68, 'trace_an': 0}
  • id: 422414
    {'hecke_orbit_code': 33556088, 'n': 69, 'trace_an': 0}
  • id: 422415
    {'hecke_orbit_code': 33556088, 'n': 70, 'trace_an': 0}
  • id: 422416
    {'hecke_orbit_code': 33556088, 'n': 71, 'trace_an': 0}
  • id: 422417
    {'hecke_orbit_code': 33556088, 'n': 72, 'trace_an': 0}
  • id: 422418
    {'hecke_orbit_code': 33556088, 'n': 73, 'trace_an': -14}
  • id: 422419
    {'hecke_orbit_code': 33556088, 'n': 74, 'trace_an': 0}
  • id: 422420
    {'hecke_orbit_code': 33556088, 'n': 75, 'trace_an': 0}
  • id: 422421
    {'hecke_orbit_code': 33556088, 'n': 76, 'trace_an': 0}
  • id: 422422
    {'hecke_orbit_code': 33556088, 'n': 77, 'trace_an': 0}
  • id: 422423
    {'hecke_orbit_code': 33556088, 'n': 78, 'trace_an': 0}
  • id: 422424
    {'hecke_orbit_code': 33556088, 'n': 79, 'trace_an': -10}
  • id: 422425
    {'hecke_orbit_code': 33556088, 'n': 80, 'trace_an': 0}
  • id: 422426
    {'hecke_orbit_code': 33556088, 'n': 81, 'trace_an': 0}
  • id: 422427
    {'hecke_orbit_code': 33556088, 'n': 82, 'trace_an': 0}
  • id: 422428
    {'hecke_orbit_code': 33556088, 'n': 83, 'trace_an': -16}
  • id: 422429
    {'hecke_orbit_code': 33556088, 'n': 84, 'trace_an': 0}
  • id: 422430
    {'hecke_orbit_code': 33556088, 'n': 85, 'trace_an': -16}
  • id: 422431
    {'hecke_orbit_code': 33556088, 'n': 86, 'trace_an': 0}
  • id: 422432
    {'hecke_orbit_code': 33556088, 'n': 87, 'trace_an': 0}
  • id: 422433
    {'hecke_orbit_code': 33556088, 'n': 88, 'trace_an': 0}
  • id: 422434
    {'hecke_orbit_code': 33556088, 'n': 89, 'trace_an': 0}
  • id: 422435
    {'hecke_orbit_code': 33556088, 'n': 90, 'trace_an': 0}
  • id: 422436
    {'hecke_orbit_code': 33556088, 'n': 91, 'trace_an': 4}
  • id: 422437
    {'hecke_orbit_code': 33556088, 'n': 92, 'trace_an': 0}
  • id: 422438
    {'hecke_orbit_code': 33556088, 'n': 93, 'trace_an': 0}
  • id: 422439
    {'hecke_orbit_code': 33556088, 'n': 94, 'trace_an': 0}
  • id: 422440
    {'hecke_orbit_code': 33556088, 'n': 95, 'trace_an': 24}
  • id: 422441
    {'hecke_orbit_code': 33556088, 'n': 96, 'trace_an': 0}
  • id: 422442
    {'hecke_orbit_code': 33556088, 'n': 97, 'trace_an': -18}
  • id: 422443
    {'hecke_orbit_code': 33556088, 'n': 98, 'trace_an': 0}
  • id: 422444
    {'hecke_orbit_code': 33556088, 'n': 99, 'trace_an': 0}
  • id: 422445
    {'hecke_orbit_code': 33556088, 'n': 100, 'trace_an': 0}