Newform data - 4275.2.a.k

Formats: - HTML - YAML - JSON - 2026-09-10T07:37:15.659001

• 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': 17100, 'analytic_conductor': 34.136046864097366, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, -1], [19, -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': [4275, 1, [1901, 1027, 1351], [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': [[2, [-1, 1]], [7, [2, 1]], [11, [-2, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45035996307263667, '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': '4275.2.a.k', 'level': 4275, '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': [3, 5, 19], 'level_radical': 285, 'minimal_twist': '855.2.c.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{2}-q^{4}-2q^{7}-3q^{8}+2q^{11}+\\cdots', 'related_objects': ['EllipticCurve/Q/4275/k'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4275.2.a', 'trace_display': [1, 0, 0, -2], 'trace_hash': 2002546895910822902, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.017', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.029', 'prec': 7}, {'__RealLiteral__': 0, 'data': '2.014', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.123', 'prec': 10}, {'__RealLiteral__': 0, 'data': '4.971', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.018', 'prec': 7}, 'traces': [1, 1, 0, -1, 0, 0, -2, -3, 0, 0, 2, 0, 2, -2, 0, -1, 2, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, -6, 0, -4, 5, 0, 2, 0, 0, -2, 1, 0, 0, 2, 0, 10, -2, 0, 0, 0, 0, -3, 0, 0, -2, -10, 0, 0, 6, 0, -6, 0, 0, -10, -4, 0, 7, 0, 0, 4, -2, 0, 0, -8, 0, -4, -2, 0, -1, -4, 0, -8, 0, 0, 2, -12, 0, 0, 10, 0, -6, 10, 0, -4, 0, 0, 0, 0, 0, 18, -3, 0, 0, 0, 0, -16, -6, 0, -10, -8, 0, -6, 0, 0, 2, 6, 0, 0, 6, 0, 0, -4, 0, -7, -10, 0, 4, 0, 0, -12, -3, 0, 0, -18, 0, -2, 4, 0, -6, -6, 0, -4, 0, 0, -8, 4, 0, 0, -4, 0, 2, 8, 0, -12, -3, 0, -4, 0, 0, -16, -8, 0, 0, 0, 0, 14, -2, 0, -12, 0, 0, -9, 0, 0, -10, -6, 0, 0, -2, 0, 10, 24, 0, -6, -4, 0, 0, 0, 0, 4, 0, 0, 0, -18, 0, -10, 18, 0, 3, -6, 0, -8, 0, 0, 0, 12, 0, 0, -16, 0, -2, 2, 0, -4, 10, 0, -8, 0, 0, 8, -6, 0, 0, 4, 0, 8, -10, 0, 6, 4, 0, -22, 0, 0, 18, 14, 0, 0, 0, 0, -4, 2, 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28, -16, 0, 48, 6, 0, -66, 0, 0, -44, 32, 0, 0, 32, 0, 40, 6, 0, -24, -40, 0, -47, 0, 0, -16, 42, 0, 0, 24, 0, -48, -28, 0, -50, 0, 0, 4, 0, 0, -36, -34, 0, 0, 0, 0, 24, 30, 0, -20, 62, 0, 0, 0, 0, 0, 4, 0, 0, -40, 0, -66, -12, 0, 12, -12, 0, 0, 0, 0, 20, -58, 0, 0, -4, 0, 16, -66, 0, -32, 84, 0, -82, 0, 0, -40, -6, 0, 0, 6, 0, 8, -100, 0, -50, -28, 0, -28, 0, 0, -58, -4, 0, 0, 48, 0, -6, 8, 0, 12, -42, 0, -7, 0, 0, 42, 0, 0, 0, 14, 0, -24, 14, 0, 28, 39, 0, 20, 0, 0, 32, -10, 0, 0, -8, 0, 0, -24, 0, -44, 48, 0, -12, 0, 0, 20, 46, 0, 0, -20, 0, 0, 76, 0, 18, 28, 0, -6, 0, 0, -12, 12, 0, 0, 84, 0, -12, -16, 0, 4, -42, 0, 44, 0, 0, -38, -8, 0, 0, 18, 0, -14, 0, 0, 40, -26, 0, 44, 0, 0, -34, -12, 0, 0, 76, 0, 8, -8, 0, -50, 16, 0, -14, 0, 0, 0, -6, 0, 0, 36, 0, -12, 18, 0, -19, -30, 0, 10, 0, 0, 72, 60, 0, 0, 26, 0, -12, -16, 0, 12, -82, 0, 0, 0, 0, 12, -4, 0, 0, 4, 0, 16, -72, 0, 8, -3, 0, -66, 0, 0, 48, 0, 0, 0, -84, 0, -4, 0, 0, 32, 36, 0, 32, 0, 0, 0, 16, 0, 0, -60, 0, -22, -76, 0, 0, 0, 0, -20, 0, 0, 6, -42, 0, 0, 68, 0, 6, 2, 0, 20, 18, 0, -8, 0, 0, -8, -36, 0, 0, 12, 0, -18, -18, 0, 0, 20, 0, -60, 0, 0, 8, 2, 0, 0, -20, 0, -64, 72, 0, -48, 0, 0, -20, 0, 0, 16, -44, 0, 0, 4, 0, -42, -44, 0, -50, 36, 0, 8, 0, 0, -2, -40, 0, 0, 38, 0, 16, 12, 0, -42, 0, 0, 76, 0, 0, -8, -96, 0, 0, 4, 0, 6, 6, 0, -8, 36, 0, 18, 0, 0, 64, 16, 0, 0, -12, 0, 28, -18, 0, -28, -24, 0, -68, 0, 0, 26, 48, 0, 0, 0, 0, 36, -8, 0, -60, 20, 0, -6, 0, 0, -16, 24, 0, 0, 18, 0, 56, 40, 0, 0, 30, 0, 0, 0, 0, 52, -6, 0, 0, -22, 0, -14, -8, 0, -36, 34, 0, -20, 0, 0, -86, -8, 0, 0, 78, 0, -100, 14, 0, 0, 16, 0, 4, 0, 0, 0, 70, 0, 0, -20, 0, -4, 24, 0, -4, 46, 0, -18, 0, 0, -30, 48, 0, 0, -28, 0, -32, 18, 0, -60, 22, 0, 56, 0, 0, -36, -40, 0, 0, -40, 0, 0, -32, 0, 88, 0, 0, 36, 0, 0, -48, -32, 0, 0, -72, 0, -74, 20, 0, -16, 72, 0, 70, 0, 0, -26, -66, 0, 0, 66, 0, -8, -30, 0, 8, 20, 0, 9, 0, 0, 22, 18, 0, 0, 68, 0, 30, 0, 0, 36, 4, 0, 44, 0, 0, -42, 72, 0, 0, 0, 0, 24, 54, 0, 40, -48, 0, 8, 0, 0, 0, -33, 0, 0, 68, 0, -8, -60, 0, -2, 8, 0, -34, 0, 0, 70, -2, 0, 0, 20, 0, 12, -40, 0, -28, -34, 0, -36, 0, 0, 12, 6, 0, 0, 28, 0, 0, -4, 0, -108, 38, 0, -16, 0, 0, -16, 0, 0, 0, 16, 0, -4, 2, 0, 32, -6, 0, -24, 0, 0, -8, 68, 0, 0, -62, 0, 76, 24, 0, 0, -60, 0, 47, 0, 0, 2, -108, 0, 0, -34, 0, 10, -78, 0, 16, -24, 0, 102, 0, 0, 60, 0, 0, 0, 8, 0, 34, -12, 0, -10, 42, 0, 0, 0, 0, 18, -48, 0, 0, -58, 0, 50, 8, 0, -52, 0, 0, -68, 0, 0, 60, -74, 0, 0, 24, 0, -44, -24, 0, 62, 0, 0, -12, 0, 0, -66, -18, 0, 0, -42, 0, 28, 36, 0, 40, -36, 0, -32, 0, 0, -36, -3, 0, 0, 0, 0, 48, -36, 0, 6, -62, 0, 16, 0, 0, 46, 4, 0, 0, -28, 0, 14, 6, 0, -16, -20, 0, 0, 0, 0, 98, 64, 0, 0, 0, 0, 16, -20, 0, -4, -8, 0, 0, 0, 0, -36, -36, 0, 0, -102, 0, 12, -80, 0, -12, 32, 0, 0, 0, 0, 36, -8, 0, 0, 8, 0, -2, 8, 0, -28, -78, 0, -12, 0, 0, 2, -72, 0, 0, -6, 0, -60, 72, 0, 100, 20, 0, 48, 0, 0, -44, 34, 0, 0, 0, 0, -16, -54, 0, 14, 96, 0, 30, 0, 0, -4, -8, 0, 0, -16, 0, 6, -78, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

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

  
  {'an': [[1], [1], [0], [-1], [0], [0], [-2], [-3], [0], [0], [2], [0], [2], [-2], [0], [-1], [2], [0], [1], [0], [0], [2], [0], [0], [0], [2], [0], [2], [-6], [0], [-4], [5], [0], [2], [0], [0], [-2], [1], [0], [0], [2], [0], [10], [-2], [0], [0], [0], [0], [-3], [0], [0], [-2], [-10], [0], [0], [6], [0], [-6], [0], [0], [-10], [-4], [0], [7], [0], [0], [4], [-2], [0], [0], [-8], [0], [-4], [-2], [0], [-1], [-4], [0], [-8], [0], [0], [2], [-12], [0], [0], [10], [0], [-6], [10], [0], [-4], [0], [0], [0], [0], [0], [18], [-3], [0], [0]], 'ap': [[1], [0], [0], [-2], [2], [2], [2], [1], [0], [-6], [-4], [-2], [2], [10], [0], [-10], [0], [-10], [4], [-8], [-4], [-8], [-12], [10], [18], [0], [-16], [-8], [-6], [6], [-12], [-18], [-6], [-4], [8], [-12], [-16], [14], [0], [-6], [24], [-6], [-18], [-10], [-6], [-8], [-4], [8], [4], [-22], [14], [2], [-14], [-14], [30], [24], [-6], [0], [-8], [22], [22], [2], [20], [6], [-24], [14], [-16], [-22], [36], [2], [-34], [22], [34], [18], [16], [36], [-36], [8], [30], [22], [18], [-18], [12], [-26], [-16], [-4], [10], [-40], [32], [-14], [-4], [-18], [-16], [-26], [-20], [-16], [-42], [-42], [-16], [2], [-28], [34], [12], [-6], [28], [24], [-12], [26], [-36], [-10], [-16], [0], [42], [-20], [-8], [18], [-26], [-24], [-34], [20], [18], [26], [-18], [48], [36], [-24], [10], [42], [-14], [36], [28], [-20], [44], [4], [-12], [-34], [14], [-16], [18], [-40], [12], [24], [18], [-12], [26], [0], [-20], [-30], [-44], [4], [-14], [4], [38], [52], [48], [-16], [40], [48], [-4], [50], [-36], [-18], [-22], [-12], [-22], [-24], [32], [-8], [-6], [6], [-12], [-10], [6], [-16], [-8], [0], [44], [24], [32], [-50], [-26], [-12], [58], [-66], [-24], [-48], [30], [-40], [-58], [42], [14], [-44], [28], [-38], [44], [-50], [-30], [4], [-66], [32], [-22], [0], [2], [2], [-42], [18], [16], [-28], [36], [20], [40], [52], [-22], [-20], [-4], [46], [18], [-42], [8], [-2], [-34], [68], [10], [-58], [-68], [-74], [62], [28], [-36], [46], [-28], [64], [32], [2], [-6], [48], [34], [14], [6], [44], [24], [-12], [38], [58], [2], [58], [-18], [32], [-64], [72], [68], [-48], [48], [54], [14], [-6], [-26], [56], [-2], [-20], [-32], [-24], [-26], [-14], [62], [-16], [58], [-72], [-80], [6], [-10], [-12], [-36], [-48], [-70], [50], [-36], [-70], [-2], [-18], [36], [-48], [-24], [-2], [42], [-26], [32], [-66], [16], [58], [-8], [-52], [18], [20], [26], [4], [-8], [-22], [48], [-14], [-36], [-66], [-64], [60], [4], [-70], [24], [-34], [6], [68], [16], [-36], [-74], [-44], [48], [90], [86], [-80], [32], [-4], [-40], [20], [26], [-44], [42], [-86], [-76], [40], [-40], [42], [-50], [62], [0], [4], [12], [84], [-82], [-6], [-50], [-58], [-6], [-42], [14], [28], [46], [76], [18], [-12], [84], [-42], [40], [-34], [76], [8], [-14], [-6], [18], [26], [-82], [-4], [48], [-84], [36], [-76], [6], [6], [18], [-64], [-50], [38], [76], [-96], [6], [-8], [64], [-8], [18], [56], [-8], [-86], [78], [70], [-30], [22], [56], [-40], [88], [-48], [-74], [72], [70], [-66], [-30], [22], [68], [30], [44], [54], [40], [68], [-34], [-2], [12], [38], [2], [32], [-8], [-62], [76], [-78], [34], [42], [-48], [-52], [60], [24], [36], [-36], [-62], [4], [6], [98], [-8], [-80], [-2], [-78], [-72], [72], [100], [-78]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 45035996307263667, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '4275.2.a.k', 'level': 4275, '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': [12, 16, 18, 10, 21, 19, 21, 25], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [55, 62, 56, 60, 57, 47, 49, 49], 'Nk2': 17100, 'analytic_conductor': 34.136046864097366, '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': [4275, 1, [1901, 1027, 1351], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 577, 'dim': 142, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 33558707, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 6, 6, 6, 6, 6, 7, 7, 12], 'label': '4275.2.a', 'level': 4275, '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': [3, 5, 19], 'level_radical': 285, 'mf_dim': 624, 'mf_new_dim': 142, 'num_forms': 50, 'plus_dim': 62, 'prim_orbit_index': 1, 'relative_dim': 142, 'sturm_bound': 1200, 'trace_bound': 13, 'trace_display': [1, 0, 0, 5], 'traces': [142, 1, 0, 143, 0, 0, 5, -3, 0, 0, 13, 0, -2, -12, 0, 145, -11, 0, -2, 0, 0, 4, -8, 0, 0, 6, 0, 18, 32, 0, 0, 5, 0, 18, 0, 0, -12, -3, 0, 0, 0, 0, 13, 66, 0, 36, -1, 0, 145, 0, 0, 14, 26, 0, 0, 8, 0, 10, -18, 0, -9, 8, 0, 185, 0, 0, 12, -52, 0, 0, -42, 0, 1, 62, 0, -5, -41, 0, 8, 0, 0, 38, 16, 0, 0, 4, 0, -32, -2, 0, -16, 40, 0, -32, 0, 0, -6, 5, 0, 0, 28, 0, -34, 18, 0, 6, 34, 0, 38, 0, 0, 88, 20, 0, 0, 142, 0, 20, -11, 0, 213, 26, 0, -76, 0, 0, 46, -59, 0, 0, 3, 0, 1, 8, 0, 106, 29, 0, 9, 0, 0, 48, 36, 0, 0, -102, 0, -34, 57, 0, -74, -3, 0, -20, 0, 0, 36, 40, 0, 0, 0, 0, 28, -134, 0, -108, 2, 0, 170, 0, 0, 78, -24, 0, 0, 228, 0, -66, 38, 0, 56, 64, 0, 136, 0, 0, -15, 90, 0, 0, 69, 0, 14, 26, 0, 245, -56, 0, -35, 0, 0, 42, 14, 0, 0, -36, 0, -22, 25, 0, 126, 86, 0, -140, 0, 0, 44, -74, 0, 0, -56, 0, 34, 132, 0, 166, 0, 0, -71, 0, 0, 18, -81, 0, 0, 8, 0, -88, -19, 0, -28, 137, 0, -92, 0, 0, 2, -16, 0, 0, 75, 0, -20, -8, 0, -35, -74, 0, 62, 0, 0, 52, -29, 0, 0, 24, 0, 16, -106, 0, -92, -130, 0, -222, 0, 0, -3, 80, 0, 0, -12, 0, -71, -152, 0, -100, 38, 0, 221, 0, 0, 60, -18, 0, 0, 74, 0, -166, -40, 0, -85, -40, 0, -35, 0, 0, -36, -262, 0, 0, -177, 0, 16, 6, 0, 4, -68, 0, -38, 0, 0, 40, -15, 0, 0, -68, 0, 86, 17, 0, -124, 92, 0, -136, 0, 0, -138, 103, 0, 0, -120, 0, -5, 216, 0, 42, 99, 0, -115, 0, 0, 204, -116, 0, 0, 154, 0, -116, 177, 0, 142, -106, 0, 200, 0, 0, 12, 200, 0, 0, -72, 0, -86, 144, 0, -92, 36, 0, -14, 0, 0, 88, 4, 0, 0, 126, 0, -138, -53, 0, -4, 53, 0, 186, 0, 0, -43, 116, 0, 0, 230, 0, 184, -26, 0, 60, -110, 0, 182, 0, 0, -40, -82, 0, 0, 26, 0, 28, -44, 0, -122, 132, 0, -70, 0, 0, -45, 244, 0, 0, 60, 0, -4, -240, 0, 190, -16, 0, 18, 0, 0, -44, 163, 0, 0, 88, 0, 172, -34, 0, -42, -70, 0, -132, 0, 0, 23, -70, 0, 0, 9, 0, 15, 246, 0, 286, 67, 0, -192, 0, 0, -180, 71, 0, 0, 10, 0, 48, 72, 0, 284, -190, 0, 81, 0, 0, 10, -62, 0, 0, -64, 0, -122, -6, 0, -148, 154, 0, 107, 0, 0, -172, -84, 0, 0, -320, 0, 148, -202, 0, -35, -87, 0, -74, 0, 0, -115, -176, 0, 0, 106, 0, -90, -138, 0, 48, 88, 0, 198, 0, 0, -30, 20, 0, 0, 148, 0, -134, 62, 0, -125, -272, 0, -58, 0, 0, -40, -20, 0, 0, 28, 0, 128, 50, 0, -270, -143, 0, 24, 0, 0, -130, 226, 0, 0, -368, 0, -40, 86, 0, -84, -100, 0, -232, 0, 0, -5, -129, 0, 0, -172, 0, 224, -230, 0, -418, -157, 0, -12, 0, 0, -114, -208, 0, 0, -148, 0, 136, -188, 0, -168, 12, 0, -92, 0, 0, -12, -39, 0, 0, -152, 0, 157, 36, 0, -304, 177, 0, 372, 0, 0, 80, 8, 0, 0, -78, 0, -30, 34, 0, 113, -48, 0, -154, 0, 0, 50, -192, 0, 0, 278, 0, 33, -68, 0, 14, -207, 0, 90, 0, 0, 8, 197, 0, 0, -498, 0, -200, -178, 0, 270, 244, 0, -296, 0, 0, -64, -140, 0, 0, -85, 0, 112, -94, 0, 53, 28, 0, 204, 0, 0, -24, 100, 0, 0, 120, 0, 244, 216, 0, 191, 54, 0, -696, 0, 0, -134, -182, 0, 0, -44, 0, 40, 200, 0, -362, 126, 0, 148, 0, 0, -226, 256, 0, 0, 148, 0, -136, -127, 0, -222, 1, 0, -210, 0, 0, -37, 304, 0, 0, 121, 0, 88, 0, 0, -92, 96, 0, 137, 0, 0, -8, -88, 0, 0, -138, 0, -42, 102, 0, 180, 188, 0, -204, 0, 0, 43, 68, 0, 0, 309, 0, 88, -234, 0, -340, -128, 0, -173, 0, 0, -98, -40, 0, 0, -122, 0, -278, 20, 0, 62, 160, 0, -183, 0, 0, 128, -206, 0, 0, -302, 0, 92, -142, 0, -214, -42, 0, -265, 0, 0, -202, -103, 0, 0, 284, 0, -154, -25, 0, 104, 252, 0, 152, 0, 0, 41, -62, 0, 0, 269, 0, 37, 76, 0, -208, -72, 0, 402, 0, 0, 98, 60, 0, 0, 118, 0, 36, -302, 0, 30, -170, 0, 220, 0, 0, 14, 402, 0, 0, 20, 0, 16, -540, 0, -228, 160, 0, -15, 0, 0, 200, 42, 0, 0, -154, 0, 216, 172, 0, 80, -138, 0, 44, 0, 0, 12, -472, 0, 0, -59, 0, 313, 212, 0, 132, -58, 0, -182, 0, 0, -132, -21, 0, 0, 488, 0, 142, -128, 0, 216, -48, 0, 30, 0, 0, -112, 56, 0, 0, -518, 0, -64, 346, 0, -288, 45, 0, -100, 0, 0, -30, -152, 0, 0, -168, 0, 138, 12, 0, 1, -184, 0, -188, 0, 0, 105, 312, 0, 0, -204, 0, -8, 12, 0, -252, 8, 0, 68, 0, 0, -168, -146, 0, 0, -550, 0, -40, 213, 0, -198, -20, 0, -98, 0, 0, 316, 433, 0, 0, 168, 0, 47, -304, 0, 238, -90, 0, -200, 0, 0, 292, -144, 0, 0, -8, 0, -22, 348, 0, -394, 232, 0, 28, 0, 0, -7, 640, 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: 1197295
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '4275.2.a.k', 'source_level': 4275, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '855.2.c.a', 'target_level': 855, 'twist_class_label': '855.2.c.a', 'twist_class_level': 855, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1197296
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '4275.2.a.k', 'source_level': 4275, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '855.2.c.c', 'target_level': 855, 'twist_class_label': '855.2.c.a', 'twist_class_level': 855, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1197297
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '4275.2.a.k', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '4275.2.a.d', 'target_level': 4275, 'twist_class_label': '855.2.c.a', 'twist_class_level': 855, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1197298
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '4275.2.a.k', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '4275.2.a.g', 'target_level': 4275, 'twist_class_label': '855.2.c.a', 'twist_class_level': 855, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1197299
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '4275.2.a.k', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '4275.2.a.k', 'target_level': 4275, 'twist_class_label': '855.2.c.a', 'twist_class_level': 855, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1197300
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '4275.2.a.k', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '4275.2.a.n', 'target_level': 4275, 'twist_class_label': '855.2.c.a', 'twist_class_level': 855, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3550875
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 2}
  • id: 3550876
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 3}
  • id: 3550877
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 5}
  • id: 3550878
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 7}
  • id: 3550879
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 11}
  • id: 3550880
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 13}
  • id: 3550881
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 17}
  • id: 3550882
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 19}
  • id: 3550883
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 23}
  • id: 3550884
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 29}
  • id: 3550885
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 31}
  • id: 3550886
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 37}
  • id: 3550887
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 41}
  • id: 3550888
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 43}
  • id: 3550889
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 47}
  • id: 3550890
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 53}
  • id: 3550891
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 59}
  • id: 3550892
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 61}
  • id: 3550893
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 67}
  • id: 3550894
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 71}
  • id: 3550895
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 73}
  • id: 3550896
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 79}
  • id: 3550897
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 83}
  • id: 3550898
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 45035996307263667, 'p': 89}
  • id: 3550899
    {'charpoly_factorization': [[[-18, 1], 1]], 'hecke_orbit_code': 45035996307263667, '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': 11, 'label': '4275.2.a.k', 'level': 4275, '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: 54479515
    {'hecke_orbit_code': 45035996307263667, 'n': 1, 'trace_an': 1}
  • id: 54479516
    {'hecke_orbit_code': 45035996307263667, 'n': 2, 'trace_an': 1}
  • id: 54479517
    {'hecke_orbit_code': 45035996307263667, 'n': 3, 'trace_an': 0}
  • id: 54479518
    {'hecke_orbit_code': 45035996307263667, 'n': 4, 'trace_an': -1}
  • id: 54479519
    {'hecke_orbit_code': 45035996307263667, 'n': 5, 'trace_an': 0}
  • id: 54479520
    {'hecke_orbit_code': 45035996307263667, 'n': 6, 'trace_an': 0}
  • id: 54479521
    {'hecke_orbit_code': 45035996307263667, 'n': 7, 'trace_an': -2}
  • id: 54479522
    {'hecke_orbit_code': 45035996307263667, 'n': 8, 'trace_an': -3}
  • id: 54479523
    {'hecke_orbit_code': 45035996307263667, 'n': 9, 'trace_an': 0}
  • id: 54479524
    {'hecke_orbit_code': 45035996307263667, 'n': 10, 'trace_an': 0}
  • id: 54479525
    {'hecke_orbit_code': 45035996307263667, 'n': 11, 'trace_an': 2}
  • id: 54479526
    {'hecke_orbit_code': 45035996307263667, 'n': 12, 'trace_an': 0}
  • id: 54479527
    {'hecke_orbit_code': 45035996307263667, 'n': 13, 'trace_an': 2}
  • id: 54479528
    {'hecke_orbit_code': 45035996307263667, 'n': 14, 'trace_an': -2}
  • id: 54479529
    {'hecke_orbit_code': 45035996307263667, 'n': 15, 'trace_an': 0}
  • id: 54479530
    {'hecke_orbit_code': 45035996307263667, 'n': 16, 'trace_an': -1}
  • id: 54479531
    {'hecke_orbit_code': 45035996307263667, 'n': 17, 'trace_an': 2}
  • id: 54479532
    {'hecke_orbit_code': 45035996307263667, 'n': 18, 'trace_an': 0}
  • id: 54479533
    {'hecke_orbit_code': 45035996307263667, 'n': 19, 'trace_an': 1}
  • id: 54479534
    {'hecke_orbit_code': 45035996307263667, 'n': 20, 'trace_an': 0}
  • id: 54479535
    {'hecke_orbit_code': 45035996307263667, 'n': 21, 'trace_an': 0}
  • id: 54479536
    {'hecke_orbit_code': 45035996307263667, 'n': 22, 'trace_an': 2}
  • id: 54479537
    {'hecke_orbit_code': 45035996307263667, 'n': 23, 'trace_an': 0}
  • id: 54479538
    {'hecke_orbit_code': 45035996307263667, 'n': 24, 'trace_an': 0}
  • id: 54479539
    {'hecke_orbit_code': 45035996307263667, 'n': 25, 'trace_an': 0}
  • id: 54479540
    {'hecke_orbit_code': 45035996307263667, 'n': 26, 'trace_an': 2}
  • id: 54479541
    {'hecke_orbit_code': 45035996307263667, 'n': 27, 'trace_an': 0}
  • id: 54479542
    {'hecke_orbit_code': 45035996307263667, 'n': 28, 'trace_an': 2}
  • id: 54479543
    {'hecke_orbit_code': 45035996307263667, 'n': 29, 'trace_an': -6}
  • id: 54479544
    {'hecke_orbit_code': 45035996307263667, 'n': 30, 'trace_an': 0}
  • id: 54479545
    {'hecke_orbit_code': 45035996307263667, 'n': 31, 'trace_an': -4}
  • id: 54479546
    {'hecke_orbit_code': 45035996307263667, 'n': 32, 'trace_an': 5}
  • id: 54479547
    {'hecke_orbit_code': 45035996307263667, 'n': 33, 'trace_an': 0}
  • id: 54479548
    {'hecke_orbit_code': 45035996307263667, 'n': 34, 'trace_an': 2}
  • id: 54479549
    {'hecke_orbit_code': 45035996307263667, 'n': 35, 'trace_an': 0}
  • id: 54479550
    {'hecke_orbit_code': 45035996307263667, 'n': 36, 'trace_an': 0}
  • id: 54479551
    {'hecke_orbit_code': 45035996307263667, 'n': 37, 'trace_an': -2}
  • id: 54479552
    {'hecke_orbit_code': 45035996307263667, 'n': 38, 'trace_an': 1}
  • id: 54479553
    {'hecke_orbit_code': 45035996307263667, 'n': 39, 'trace_an': 0}
  • id: 54479554
    {'hecke_orbit_code': 45035996307263667, 'n': 40, 'trace_an': 0}
  • id: 54479555
    {'hecke_orbit_code': 45035996307263667, 'n': 41, 'trace_an': 2}
  • id: 54479556
    {'hecke_orbit_code': 45035996307263667, 'n': 42, 'trace_an': 0}
  • id: 54479557
    {'hecke_orbit_code': 45035996307263667, 'n': 43, 'trace_an': 10}
  • id: 54479558
    {'hecke_orbit_code': 45035996307263667, 'n': 44, 'trace_an': -2}
  • id: 54479559
    {'hecke_orbit_code': 45035996307263667, 'n': 45, 'trace_an': 0}
  • id: 54479560
    {'hecke_orbit_code': 45035996307263667, 'n': 46, 'trace_an': 0}
  • id: 54479561
    {'hecke_orbit_code': 45035996307263667, 'n': 47, 'trace_an': 0}
  • id: 54479562
    {'hecke_orbit_code': 45035996307263667, 'n': 48, 'trace_an': 0}
  • id: 54479563
    {'hecke_orbit_code': 45035996307263667, 'n': 49, 'trace_an': -3}
  • id: 54479564
    {'hecke_orbit_code': 45035996307263667, 'n': 50, 'trace_an': 0}
  • id: 54479565
    {'hecke_orbit_code': 45035996307263667, 'n': 51, 'trace_an': 0}
  • id: 54479566
    {'hecke_orbit_code': 45035996307263667, 'n': 52, 'trace_an': -2}
  • id: 54479567
    {'hecke_orbit_code': 45035996307263667, 'n': 53, 'trace_an': -10}
  • id: 54479568
    {'hecke_orbit_code': 45035996307263667, 'n': 54, 'trace_an': 0}
  • id: 54479569
    {'hecke_orbit_code': 45035996307263667, 'n': 55, 'trace_an': 0}
  • id: 54479570
    {'hecke_orbit_code': 45035996307263667, 'n': 56, 'trace_an': 6}
  • id: 54479571
    {'hecke_orbit_code': 45035996307263667, 'n': 57, 'trace_an': 0}
  • id: 54479572
    {'hecke_orbit_code': 45035996307263667, 'n': 58, 'trace_an': -6}
  • id: 54479573
    {'hecke_orbit_code': 45035996307263667, 'n': 59, 'trace_an': 0}
  • id: 54479574
    {'hecke_orbit_code': 45035996307263667, 'n': 60, 'trace_an': 0}
  • id: 54479575
    {'hecke_orbit_code': 45035996307263667, 'n': 61, 'trace_an': -10}
  • id: 54479576
    {'hecke_orbit_code': 45035996307263667, 'n': 62, 'trace_an': -4}
  • id: 54479577
    {'hecke_orbit_code': 45035996307263667, 'n': 63, 'trace_an': 0}
  • id: 54479578
    {'hecke_orbit_code': 45035996307263667, 'n': 64, 'trace_an': 7}
  • id: 54479579
    {'hecke_orbit_code': 45035996307263667, 'n': 65, 'trace_an': 0}
  • id: 54479580
    {'hecke_orbit_code': 45035996307263667, 'n': 66, 'trace_an': 0}
  • id: 54479581
    {'hecke_orbit_code': 45035996307263667, 'n': 67, 'trace_an': 4}
  • id: 54479582
    {'hecke_orbit_code': 45035996307263667, 'n': 68, 'trace_an': -2}
  • id: 54479583
    {'hecke_orbit_code': 45035996307263667, 'n': 69, 'trace_an': 0}
  • id: 54479584
    {'hecke_orbit_code': 45035996307263667, 'n': 70, 'trace_an': 0}
  • id: 54479585
    {'hecke_orbit_code': 45035996307263667, 'n': 71, 'trace_an': -8}
  • id: 54479586
    {'hecke_orbit_code': 45035996307263667, 'n': 72, 'trace_an': 0}
  • id: 54479587
    {'hecke_orbit_code': 45035996307263667, 'n': 73, 'trace_an': -4}
  • id: 54479588
    {'hecke_orbit_code': 45035996307263667, 'n': 74, 'trace_an': -2}
  • id: 54479589
    {'hecke_orbit_code': 45035996307263667, 'n': 75, 'trace_an': 0}
  • id: 54479590
    {'hecke_orbit_code': 45035996307263667, 'n': 76, 'trace_an': -1}
  • id: 54479591
    {'hecke_orbit_code': 45035996307263667, 'n': 77, 'trace_an': -4}
  • id: 54479592
    {'hecke_orbit_code': 45035996307263667, 'n': 78, 'trace_an': 0}
  • id: 54479593
    {'hecke_orbit_code': 45035996307263667, 'n': 79, 'trace_an': -8}
  • id: 54479594
    {'hecke_orbit_code': 45035996307263667, 'n': 80, 'trace_an': 0}
  • id: 54479595
    {'hecke_orbit_code': 45035996307263667, 'n': 81, 'trace_an': 0}
  • id: 54479596
    {'hecke_orbit_code': 45035996307263667, 'n': 82, 'trace_an': 2}
  • id: 54479597
    {'hecke_orbit_code': 45035996307263667, 'n': 83, 'trace_an': -12}
  • id: 54479598
    {'hecke_orbit_code': 45035996307263667, 'n': 84, 'trace_an': 0}
  • id: 54479599
    {'hecke_orbit_code': 45035996307263667, 'n': 85, 'trace_an': 0}
  • id: 54479600
    {'hecke_orbit_code': 45035996307263667, 'n': 86, 'trace_an': 10}
  • id: 54479601
    {'hecke_orbit_code': 45035996307263667, 'n': 87, 'trace_an': 0}
  • id: 54479602
    {'hecke_orbit_code': 45035996307263667, 'n': 88, 'trace_an': -6}
  • id: 54479603
    {'hecke_orbit_code': 45035996307263667, 'n': 89, 'trace_an': 10}
  • id: 54479604
    {'hecke_orbit_code': 45035996307263667, 'n': 90, 'trace_an': 0}
  • id: 54479605
    {'hecke_orbit_code': 45035996307263667, 'n': 91, 'trace_an': -4}
  • id: 54479606
    {'hecke_orbit_code': 45035996307263667, 'n': 92, 'trace_an': 0}
  • id: 54479607
    {'hecke_orbit_code': 45035996307263667, 'n': 93, 'trace_an': 0}
  • id: 54479608
    {'hecke_orbit_code': 45035996307263667, 'n': 94, 'trace_an': 0}
  • id: 54479609
    {'hecke_orbit_code': 45035996307263667, 'n': 95, 'trace_an': 0}
  • id: 54479610
    {'hecke_orbit_code': 45035996307263667, 'n': 96, 'trace_an': 0}
  • id: 54479611
    {'hecke_orbit_code': 45035996307263667, 'n': 97, 'trace_an': 18}
  • id: 54479612
    {'hecke_orbit_code': 45035996307263667, 'n': 98, 'trace_an': -3}
  • id: 54479613
    {'hecke_orbit_code': 45035996307263667, 'n': 99, 'trace_an': 0}
  • id: 54479614
    {'hecke_orbit_code': 45035996307263667, 'n': 100, 'trace_an': 0}