Newform data - 4275.2.a.j

Formats: - HTML - YAML - JSON - 2026-09-05T21:18:25.050944

• 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': 0, '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, [4, 1]], [11, [4, 1]]], 'hecke_orbit': 10, 'hecke_orbit_code': 40532396679893171, '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.j', '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': '285.2.a.c', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{2}-q^{4}-4q^{7}-3q^{8}-4q^{11}+\\cdots', 'related_objects': ['EllipticCurve/Q/4275/j'], '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, -4], 'trace_hash': 850280419395817568, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.039', 'prec': 7}, {'__RealLiteral__': 0, 'data': '0.980', 'prec': 10}, {'__RealLiteral__': 0, 'data': '0.075', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.947', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.179', 'prec': 10}, {'__RealLiteral__': 0, 'data': '4.812', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.024', 'prec': 7}, 'traces': [1, 1, 0, -1, 0, 0, -4, -3, 0, 0, -4, 0, -2, -4, 0, -1, 2, 0, -1, 0, 0, -4, -4, 0, 0, -2, 0, 4, 2, 0, 0, 5, 0, 2, 0, 0, 6, -1, 0, 0, 6, 0, -8, 4, 0, -4, -12, 0, 9, 0, 0, 2, -14, 0, 0, 12, 0, 2, -4, 0, 14, 0, 0, 7, 0, 0, 4, -2, 0, 0, 0, 0, 14, 6, 0, 1, 16, 0, 16, 0, 0, 6, 0, 0, 0, -8, 0, 12, 6, 0, 8, 4, 0, -12, 0, 0, 10, 9, 0, 0, 10, 0, -16, 6, 0, -14, 12, 0, -2, 0, 0, 4, -10, 0, 0, -2, 0, -4, -8, 0, 5, 14, 0, 0, 0, 0, 8, -3, 0, 0, -4, 0, 4, 4, 0, -6, -6, 0, -4, 0, 0, 0, 8, 0, 0, 14, 0, -6, -6, 0, 0, 3, 0, 16, 0, 0, 18, 16, 0, 0, 16, 0, 0, -6, 0, 0, -8, 0, -9, 0, 0, 8, -6, 0, 0, 4, 0, 6, -12, 0, 22, 8, 0, 12, 0, 0, -8, 12, 0, 0, 0, 0, -22, 10, 0, -9, 22, 0, 0, 0, 0, 10, -8, 0, 0, -16, 0, 2, 4, 0, 12, 14, 0, 12, 0, 0, 0, -2, 0, 0, -4, 0, 24, -20, 0, -10, 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0, -30, 0, 0, -88, -72, 0, 0, 16, 0, -84, 44, 0, -6, 0, 0, 20, 0, 0, 36, -24, 0, 0, -10, 0, 4, 0, 0, 40, 6, 0, 38, 0, 0, 44, -72, 0, 0, 0, 0, 4, 2, 0, 20, 40, 0, 97, 0, 0, 64, 30, 0, 0, 66, 0, 10, -8, 0, -34, -40, 0, 4, 0, 0, -8, 26, 0, 0, -40, 0, 32, -42, 0, -16, 58, 0, 64, 0, 0, 4, -40, 0, 0, -36, 0, 30, 12, 0, -60, -36, 0, -36, 0, 0, 84, -22, 0, 0, 8, 0, 0, -48, 0, 64, 8, 0, 62, 0, 0, 0, -18, 0, 0, 18, 0, 8, 112, 0, 90, 0, 0, 12, 0, 0, -20, -8, 0, 0, 32, 0, -2, 0, 0, 72, 42, 0, -5, 0, 0, 32, -108, 0, 0, 2, 0, 18, 34, 0, 40, 39, 0, -12, 0, 0, 112, -14, 0, 0, -48, 0, -40, 0, 0, -8, 24, 0, -12, 0, 0, -56, 42, 0, 0, 70, 0, 32, -60, 0, -42, 20, 0, -6, 0, 0, 28, -16, 0, 0, -72, 0, -44, -48, 0, 0, -66, 0, 88, 0, 0, 18, -8, 0, 0, 36, 0, 42, 64, 0, -60, 6, 0, 0, 0, 0, 42, 12, 0, 0, 50, 0, 0, 6, 0, -2, 0, 0, -18, 0, 0, -24, -26, 0, 0, 0, 0, 8, 24, 0, -31, 50, 0, -18, 0, 0, 0, -96, 0, 0, 20, 0, -8, 0, 0, 0, 2, 0, -24, 0, 0, 24, 88, 0, 0, 26, 0, -16, -128, 0, 16, 3, 0, 26, 0, 0, 58, 56, 0, 0, 22, 0, -120, -24, 0, 36, -48, 0, 0, 0, 0, -42, -96, 0, 0, -36, 0, 2, 36, 0, -48, 56, 0, 80, 0, 0, -64, -42, 0, 0, 56, 0, 34, -26, 0, 20, -42, 0, 24, 0, 0, 28, 0, 0, 0, 40, 0, 0, 4, 0, 168, 24, 0, -16, 0, 0, 48, -38, 0, 0, 84, 0, -24, 30, 0, 48, 8, 0, 44, 0, 0, -18, -32, 0, 0, -12, 0, 20, 104, 0, -62, -20, 0, 0, 0, 0, -4, 80, 0, 0, 68, 0, -12, -88, 0, -6, 32, 0, -20, 0, 0, 0, 76, 0, 0, -4, 0, 18, 50, 0, -40, 24, 0, 6, 0, 0, 98, -16, 0, 0, -44, 0, -72, -30, 0, 12, 0, 0, -80, 0, 0, -40, 0, 0, 0, -16, 0, 6, -100, 0, 12, 12, 0, 6, 0, 0, 0, 12, 0, 0, -32, 0, 46, 30, 0, -16, -126, 0, 40, 0, 0, -54, 6, 0, 0, -20, 0, 0, 30, 0, 136, -6, 0, -28, 0, 0, -14, 32, 0, 0, 74, 0, -112, 42, 0, -20, 0, 0, -96, 0, 0, -144, -78, 0, 0, 28, 0, -56, 16, 0, 4, 50, 0, 18, 0, 0, -4, 84, 0, 0, 88, 0, -16, 68, 0, 0, -70, 0, -12, 0, 0, 24, -48, 0, 0, 0, 0, 8, 36, 0, -8, 8, 0, 0, 0, 0, 26, 32, 0, 0, -128, 0, -8, 56, 0, 32, -48, 0, -30, 0, 0, 30, -94, 0, 0, 66, 0, 0, -36, 0, 84, 88, 0, 9, 0, 0, 0, 14, 0, 0, -8, 0, 58, 16, 0, 40, -8, 0, -96, 0, 0, -42, 24, 0, 0, -24, 0, 0, -42, 0, -52, -12, 0, 48, 0, 0, 32, -1, 0, 0, -54, 0, -24, 24, 0, -34, 24, 0, -50, 0, 0, -56, -6, 0, 0, -28, 0, -88, 0, 0, 112, -18, 0, 4, 0, 0, 16, 6, 0, 0, 0, 0, 48, -14, 0, -96, 6, 0, -8, 0, 0, -24, -20, 0, 0, 0, 0, -12, 34, 0, 72, -90, 0, -32, 0, 0, 2, -16, 0, 0, -10, 0, 12, -34, 0, -56, -24, 0, 143, 0, 0, 6, 20, 0, 0, 68, 0, -18, -28, 0, 0, 0, 0, 42, 0, 0, 8, 40, 0, 0, 6, 0, -30, 4, 0, -6, 54, 0, -16, 0, 0, 18, 20, 0, 0, 20, 0, 30, 96, 0, -52, 0, 0, 68, 0, 0, 46, -10, 0, 0, 66, 0, -40, 12, 0, 54, -168, 0, 0, 0, 0, -24, -18, 0, 0, 48, 0, 48, 24, 0, -32, 16, 0, -64, 0, 0, -32, -3, 0, 0, -36, 0, 16, -32, 0, -22, 18, 0, -48, 0, 0, 68, 72, 0, 0, -70, 0, 4, 26, 0, 0, 40, 0, 0, 0, 0, -18, -4, 0, 0, -32, 0, 96, 16, 0, -16, -76, 0, 20, 0, 0, -26, 112, 0, 0, -60, 0, 20, -12, 0, -12, 40, 0, 12, 0, 0, -56, 16, 0, 0, 24, 0, -14, -48, 0, -28, 42, 0, -104, 0, 0, -42, 84, 0, 0, -64, 0, -168, -90, 0, -20, -40, 0, -12, 0, 0, 52, 18, 0, 0, -96, 0, -18, 102, 0, 6, -32, 0, 126, 0, 0, 8, 84, 0, 0, 48, 0, 36, 24, 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], [-4], [-3], [0], [0], [-4], [0], [-2], [-4], [0], [-1], [2], [0], [-1], [0], [0], [-4], [-4], [0], [0], [-2], [0], [4], [2], [0], [0], [5], [0], [2], [0], [0], [6], [-1], [0], [0], [6], [0], [-8], [4], [0], [-4], [-12], [0], [9], [0], [0], [2], [-14], [0], [0], [12], [0], [2], [-4], [0], [14], [0], [0], [7], [0], [0], [4], [-2], [0], [0], [0], [0], [14], [6], [0], [1], [16], [0], [16], [0], [0], [6], [0], [0], [0], [-8], [0], [12], [6], [0], [8], [4], [0], [-12], [0], [0], [10], [9], [0], [0]], 'ap': [[1], [0], [0], [-4], [-4], [-2], [2], [-1], [-4], [2], [0], [6], [6], [-8], [-12], [-14], [-4], [14], [4], [0], [14], [16], [0], [6], [10], [10], [-16], [12], [-2], [-10], [8], [-4], [-6], [-4], [-6], [0], [18], [0], [-8], [-6], [-12], [22], [0], [-22], [22], [0], [12], [24], [-12], [-26], [18], [24], [-22], [-28], [-2], [-4], [26], [24], [-22], [-10], [16], [2], [12], [0], [-10], [2], [-28], [-22], [32], [30], [-14], [8], [20], [-34], [4], [32], [-6], [2], [6], [10], [-28], [14], [-32], [-6], [8], [40], [6], [-10], [-30], [4], [-8], [16], [-8], [-12], [20], [-20], [18], [30], [4], [30], [-4], [-26], [36], [-18], [-12], [-18], [16], [-6], [0], [18], [16], [42], [42], [-20], [0], [30], [40], [-12], [6], [-28], [-18], [-30], [-14], [12], [-4], [34], [6], [-48], [-4], [26], [28], [40], [-24], [50], [6], [50], [26], [44], [-38], [-26], [28], [-54], [20], [-12], [-2], [0], [2], [-26], [36], [-32], [-42], [-2], [16], [0], [-28], [48], [-16], [14], [-18], [42], [-40], [-26], [20], [12], [30], [-56], [-40], [26], [-38], [46], [-60], [-34], [32], [6], [24], [6], [12], [42], [40], [14], [44], [36], [-10], [38], [20], [10], [-42], [-36], [-22], [32], [2], [-8], [20], [18], [0], [-2], [50], [26], [26], [36], [2], [56], [-26], [-38], [20], [6], [-16], [12], [6], [12], [30], [-54], [-20], [-28], [-56], [50], [68], [-42], [48], [-34], [-18], [-16], [-18], [20], [68], [-10], [54], [48], [-32], [68], [-70], [-4], [40], [-42], [-64], [-12], [18], [6], [36], [8], [52], [60], [-76], [70], [-58], [0], [52], [-36], [4], [-36], [-22], [30], [-12], [26], [14], [-44], [-10], [-4], [2], [-2], [24], [-4], [-74], [-26], [-6], [68], [50], [22], [-4], [-42], [46], [4], [-2], [0], [-22], [20], [8], [-26], [34], [20], [80], [32], [-12], [-10], [-24], [24], [30], [-22], [16], [54], [-78], [32], [78], [52], [-10], [34], [-80], [54], [-12], [72], [-50], [42], [-16], [-52], [-20], [-22], [52], [-10], [-48], [66], [28], [42], [-26], [60], [-12], [-14], [12], [-32], [-18], [14], [-44], [-18], [2], [48], [-6], [-22], [20], [4], [40], [30], [-34], [58], [64], [-40], [-60], [8], [62], [-18], [90], [-20], [-2], [42], [34], [40], [42], [-60], [-42], [28], [-72], [-66], [-60], [42], [50], [0], [-18], [-26], [24], [20], [2], [88], [58], [22], [-48], [36], [-64], [34], [-42], [-24], [-62], [68], [-20], [76], [50], [-40], [98], [-100], [-32], [46], [30], [-14], [74], [-78], [-4], [-70], [-12], [-48], [-8], [26], [-8], [-48], [-30], [-94], [-36], [0], [-8], [58], [-96], [-42], [-52], [-54], [-50], [-6], [16], [6], [34], [72], [2], [-10], [12], [-28], [-30], [54], [20], [-52], [46], [66], [24], [-32], [18], [72], [26], [-18], [-76], [-12], [-14], [42], [84], [-90], [-20], [24]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 40532396679893171, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '4275.2.a.j', '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: 1197288
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 10, 'source_is_minimal': False, 'source_label': '4275.2.a.j', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '285.2.a.c', 'target_level': 285, 'twist_class_label': '285.2.a.c', 'twist_class_level': 285, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1197289
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 10, 'source_is_minimal': False, 'source_label': '4275.2.a.j', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '855.2.a.a', 'target_level': 855, 'twist_class_label': '285.2.a.c', 'twist_class_level': 285, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1197290
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 10, 'source_is_minimal': False, 'source_label': '4275.2.a.j', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '1425.2.a.c', 'target_level': 1425, 'twist_class_label': '285.2.a.c', 'twist_class_level': 285, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1197291
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 10, 'source_is_minimal': False, 'source_label': '4275.2.a.j', 'source_level': 4275, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '1425.2.c.f', 'target_level': 1425, 'twist_class_label': '285.2.a.c', 'twist_class_level': 285, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1197292
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 10, 'source_is_minimal': False, 'source_label': '4275.2.a.j', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '4275.2.a.j', 'target_level': 4275, 'twist_class_label': '285.2.a.c', 'twist_class_level': 285, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1197293
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 10, 'source_is_minimal': False, 'source_label': '4275.2.a.j', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 23, 'target_is_minimal': False, 'target_label': '4560.2.a.w', 'target_level': 4560, 'twist_class_label': '285.2.a.c', 'twist_class_level': 285, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1197294
    {'conductor': 285, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 10, 'source_is_minimal': False, 'source_label': '4275.2.a.j', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '5415.2.a.e', 'target_level': 5415, 'twist_class_label': '285.2.a.c', 'twist_class_level': 285, 'twisting_char_label': '285.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3550850
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 2}
  • id: 3550851
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 3}
  • id: 3550852
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 5}
  • id: 3550853
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 7}
  • id: 3550854
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 11}
  • id: 3550855
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 13}
  • id: 3550856
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 17}
  • id: 3550857
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 19}
  • id: 3550858
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 23}
  • id: 3550859
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 29}
  • id: 3550860
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 31}
  • id: 3550861
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 37}
  • id: 3550862
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 41}
  • id: 3550863
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 43}
  • id: 3550864
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 47}
  • id: 3550865
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 53}
  • id: 3550866
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 59}
  • id: 3550867
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 61}
  • id: 3550868
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 67}
  • id: 3550869
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 71}
  • id: 3550870
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 73}
  • id: 3550871
    {'charpoly_factorization': [[[-16, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 79}
  • id: 3550872
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 83}
  • id: 3550873
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 40532396679893171, 'p': 89}
  • id: 3550874
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 40532396679893171, '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': 10, 'label': '4275.2.a.j', '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: 52759171
    {'hecke_orbit_code': 40532396679893171, 'n': 1, 'trace_an': 1}
  • id: 52759172
    {'hecke_orbit_code': 40532396679893171, 'n': 2, 'trace_an': 1}
  • id: 52759173
    {'hecke_orbit_code': 40532396679893171, 'n': 3, 'trace_an': 0}
  • id: 52759174
    {'hecke_orbit_code': 40532396679893171, 'n': 4, 'trace_an': -1}
  • id: 52759175
    {'hecke_orbit_code': 40532396679893171, 'n': 5, 'trace_an': 0}
  • id: 52759176
    {'hecke_orbit_code': 40532396679893171, 'n': 6, 'trace_an': 0}
  • id: 52759177
    {'hecke_orbit_code': 40532396679893171, 'n': 7, 'trace_an': -4}
  • id: 52759178
    {'hecke_orbit_code': 40532396679893171, 'n': 8, 'trace_an': -3}
  • id: 52759179
    {'hecke_orbit_code': 40532396679893171, 'n': 9, 'trace_an': 0}
  • id: 52759180
    {'hecke_orbit_code': 40532396679893171, 'n': 10, 'trace_an': 0}
  • id: 52759181
    {'hecke_orbit_code': 40532396679893171, 'n': 11, 'trace_an': -4}
  • id: 52759182
    {'hecke_orbit_code': 40532396679893171, 'n': 12, 'trace_an': 0}
  • id: 52759183
    {'hecke_orbit_code': 40532396679893171, 'n': 13, 'trace_an': -2}
  • id: 52759184
    {'hecke_orbit_code': 40532396679893171, 'n': 14, 'trace_an': -4}
  • id: 52759185
    {'hecke_orbit_code': 40532396679893171, 'n': 15, 'trace_an': 0}
  • id: 52759186
    {'hecke_orbit_code': 40532396679893171, 'n': 16, 'trace_an': -1}
  • id: 52759187
    {'hecke_orbit_code': 40532396679893171, 'n': 17, 'trace_an': 2}
  • id: 52759188
    {'hecke_orbit_code': 40532396679893171, 'n': 18, 'trace_an': 0}
  • id: 52759189
    {'hecke_orbit_code': 40532396679893171, 'n': 19, 'trace_an': -1}
  • id: 52759190
    {'hecke_orbit_code': 40532396679893171, 'n': 20, 'trace_an': 0}
  • id: 52759191
    {'hecke_orbit_code': 40532396679893171, 'n': 21, 'trace_an': 0}
  • id: 52759192
    {'hecke_orbit_code': 40532396679893171, 'n': 22, 'trace_an': -4}
  • id: 52759193
    {'hecke_orbit_code': 40532396679893171, 'n': 23, 'trace_an': -4}
  • id: 52759194
    {'hecke_orbit_code': 40532396679893171, 'n': 24, 'trace_an': 0}
  • id: 52759195
    {'hecke_orbit_code': 40532396679893171, 'n': 25, 'trace_an': 0}
  • id: 52759196
    {'hecke_orbit_code': 40532396679893171, 'n': 26, 'trace_an': -2}
  • id: 52759197
    {'hecke_orbit_code': 40532396679893171, 'n': 27, 'trace_an': 0}
  • id: 52759198
    {'hecke_orbit_code': 40532396679893171, 'n': 28, 'trace_an': 4}
  • id: 52759199
    {'hecke_orbit_code': 40532396679893171, 'n': 29, 'trace_an': 2}
  • id: 52759200
    {'hecke_orbit_code': 40532396679893171, 'n': 30, 'trace_an': 0}
  • id: 52759201
    {'hecke_orbit_code': 40532396679893171, 'n': 31, 'trace_an': 0}
  • id: 52759202
    {'hecke_orbit_code': 40532396679893171, 'n': 32, 'trace_an': 5}
  • id: 52759203
    {'hecke_orbit_code': 40532396679893171, 'n': 33, 'trace_an': 0}
  • id: 52759204
    {'hecke_orbit_code': 40532396679893171, 'n': 34, 'trace_an': 2}
  • id: 52759205
    {'hecke_orbit_code': 40532396679893171, 'n': 35, 'trace_an': 0}
  • id: 52759206
    {'hecke_orbit_code': 40532396679893171, 'n': 36, 'trace_an': 0}
  • id: 52759207
    {'hecke_orbit_code': 40532396679893171, 'n': 37, 'trace_an': 6}
  • id: 52759208
    {'hecke_orbit_code': 40532396679893171, 'n': 38, 'trace_an': -1}
  • id: 52759209
    {'hecke_orbit_code': 40532396679893171, 'n': 39, 'trace_an': 0}
  • id: 52759210
    {'hecke_orbit_code': 40532396679893171, 'n': 40, 'trace_an': 0}
  • id: 52759211
    {'hecke_orbit_code': 40532396679893171, 'n': 41, 'trace_an': 6}
  • id: 52759212
    {'hecke_orbit_code': 40532396679893171, 'n': 42, 'trace_an': 0}
  • id: 52759213
    {'hecke_orbit_code': 40532396679893171, 'n': 43, 'trace_an': -8}
  • id: 52759214
    {'hecke_orbit_code': 40532396679893171, 'n': 44, 'trace_an': 4}
  • id: 52759215
    {'hecke_orbit_code': 40532396679893171, 'n': 45, 'trace_an': 0}
  • id: 52759216
    {'hecke_orbit_code': 40532396679893171, 'n': 46, 'trace_an': -4}
  • id: 52759217
    {'hecke_orbit_code': 40532396679893171, 'n': 47, 'trace_an': -12}
  • id: 52759218
    {'hecke_orbit_code': 40532396679893171, 'n': 48, 'trace_an': 0}
  • id: 52759219
    {'hecke_orbit_code': 40532396679893171, 'n': 49, 'trace_an': 9}
  • id: 52759220
    {'hecke_orbit_code': 40532396679893171, 'n': 50, 'trace_an': 0}
  • id: 52759221
    {'hecke_orbit_code': 40532396679893171, 'n': 51, 'trace_an': 0}
  • id: 52759222
    {'hecke_orbit_code': 40532396679893171, 'n': 52, 'trace_an': 2}
  • id: 52759223
    {'hecke_orbit_code': 40532396679893171, 'n': 53, 'trace_an': -14}
  • id: 52759224
    {'hecke_orbit_code': 40532396679893171, 'n': 54, 'trace_an': 0}
  • id: 52759225
    {'hecke_orbit_code': 40532396679893171, 'n': 55, 'trace_an': 0}
  • id: 52759226
    {'hecke_orbit_code': 40532396679893171, 'n': 56, 'trace_an': 12}
  • id: 52759227
    {'hecke_orbit_code': 40532396679893171, 'n': 57, 'trace_an': 0}
  • id: 52759228
    {'hecke_orbit_code': 40532396679893171, 'n': 58, 'trace_an': 2}
  • id: 52759229
    {'hecke_orbit_code': 40532396679893171, 'n': 59, 'trace_an': -4}
  • id: 52759230
    {'hecke_orbit_code': 40532396679893171, 'n': 60, 'trace_an': 0}
  • id: 52759231
    {'hecke_orbit_code': 40532396679893171, 'n': 61, 'trace_an': 14}
  • id: 52759232
    {'hecke_orbit_code': 40532396679893171, 'n': 62, 'trace_an': 0}
  • id: 52759233
    {'hecke_orbit_code': 40532396679893171, 'n': 63, 'trace_an': 0}
  • id: 52759234
    {'hecke_orbit_code': 40532396679893171, 'n': 64, 'trace_an': 7}
  • id: 52759235
    {'hecke_orbit_code': 40532396679893171, 'n': 65, 'trace_an': 0}
  • id: 52759236
    {'hecke_orbit_code': 40532396679893171, 'n': 66, 'trace_an': 0}
  • id: 52759237
    {'hecke_orbit_code': 40532396679893171, 'n': 67, 'trace_an': 4}
  • id: 52759238
    {'hecke_orbit_code': 40532396679893171, 'n': 68, 'trace_an': -2}
  • id: 52759239
    {'hecke_orbit_code': 40532396679893171, 'n': 69, 'trace_an': 0}
  • id: 52759240
    {'hecke_orbit_code': 40532396679893171, 'n': 70, 'trace_an': 0}
  • id: 52759241
    {'hecke_orbit_code': 40532396679893171, 'n': 71, 'trace_an': 0}
  • id: 52759242
    {'hecke_orbit_code': 40532396679893171, 'n': 72, 'trace_an': 0}
  • id: 52759243
    {'hecke_orbit_code': 40532396679893171, 'n': 73, 'trace_an': 14}
  • id: 52759244
    {'hecke_orbit_code': 40532396679893171, 'n': 74, 'trace_an': 6}
  • id: 52759245
    {'hecke_orbit_code': 40532396679893171, 'n': 75, 'trace_an': 0}
  • id: 52759246
    {'hecke_orbit_code': 40532396679893171, 'n': 76, 'trace_an': 1}
  • id: 52759247
    {'hecke_orbit_code': 40532396679893171, 'n': 77, 'trace_an': 16}
  • id: 52759248
    {'hecke_orbit_code': 40532396679893171, 'n': 78, 'trace_an': 0}
  • id: 52759249
    {'hecke_orbit_code': 40532396679893171, 'n': 79, 'trace_an': 16}
  • id: 52759250
    {'hecke_orbit_code': 40532396679893171, 'n': 80, 'trace_an': 0}
  • id: 52759251
    {'hecke_orbit_code': 40532396679893171, 'n': 81, 'trace_an': 0}
  • id: 52759252
    {'hecke_orbit_code': 40532396679893171, 'n': 82, 'trace_an': 6}
  • id: 52759253
    {'hecke_orbit_code': 40532396679893171, 'n': 83, 'trace_an': 0}
  • id: 52759254
    {'hecke_orbit_code': 40532396679893171, 'n': 84, 'trace_an': 0}
  • id: 52759255
    {'hecke_orbit_code': 40532396679893171, 'n': 85, 'trace_an': 0}
  • id: 52759256
    {'hecke_orbit_code': 40532396679893171, 'n': 86, 'trace_an': -8}
  • id: 52759257
    {'hecke_orbit_code': 40532396679893171, 'n': 87, 'trace_an': 0}
  • id: 52759258
    {'hecke_orbit_code': 40532396679893171, 'n': 88, 'trace_an': 12}
  • id: 52759259
    {'hecke_orbit_code': 40532396679893171, 'n': 89, 'trace_an': 6}
  • id: 52759260
    {'hecke_orbit_code': 40532396679893171, 'n': 90, 'trace_an': 0}
  • id: 52759261
    {'hecke_orbit_code': 40532396679893171, 'n': 91, 'trace_an': 8}
  • id: 52759262
    {'hecke_orbit_code': 40532396679893171, 'n': 92, 'trace_an': 4}
  • id: 52759263
    {'hecke_orbit_code': 40532396679893171, 'n': 93, 'trace_an': 0}
  • id: 52759264
    {'hecke_orbit_code': 40532396679893171, 'n': 94, 'trace_an': -12}
  • id: 52759265
    {'hecke_orbit_code': 40532396679893171, 'n': 95, 'trace_an': 0}
  • id: 52759266
    {'hecke_orbit_code': 40532396679893171, 'n': 96, 'trace_an': 0}
  • id: 52759267
    {'hecke_orbit_code': 40532396679893171, 'n': 97, 'trace_an': 10}
  • id: 52759268
    {'hecke_orbit_code': 40532396679893171, 'n': 98, 'trace_an': 9}
  • id: 52759269
    {'hecke_orbit_code': 40532396679893171, 'n': 99, 'trace_an': 0}
  • id: 52759270
    {'hecke_orbit_code': 40532396679893171, 'n': 100, 'trace_an': 0}