Newform data - 1782.2.a.m

Formats: - HTML - YAML - JSON - 2026-09-21T12:52:26.543324

• 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': 7128, 'analytic_conductor': 14.229341640192164, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [11, 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': [1782, 1, [1541, 1135], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 24, 'field_disc_factorization': [[2, 3], [3, 1]], 'field_poly': [-6, 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, [-5, -2, 1]], [7, [-2, 4, 1]], [13, [-2, 4, 1]], [23, [-6, 1]]], 'hecke_orbit': 13, 'hecke_orbit_code': 54043195562002166, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1782.2.a.m', 'level': 1782, '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, 11], 'level_radical': 66, 'minimal_twist': '198.2.e.c', 'nf_label': '2.2.24.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}+q^{4}+(1+\\beta )q^{5}+(-2+\\beta )q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1782.2.a', 'trace_display': [-2, 0, 2, -4], 'trace_hash': 467015333449049029, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.045', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.973', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.191', 'prec': 10}, {'__RealLiteral__': 0, 'data': '9.632', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.935', 'prec': 10}, {'__RealLiteral__': 0, 'data': '65.037', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.018', 'prec': 7}, 'traces': [2, -2, 0, 2, 2, 0, -4, -2, 0, -2, -2, 0, -4, 4, 0, 2, 4, 0, -12, 2, 0, 2, 12, 0, 4, 4, 0, -4, 4, 0, 2, -2, 0, -4, 8, 0, 14, 12, 0, -2, 8, 0, -4, -2, 0, -12, -2, 0, 6, -4, 0, -4, 10, 0, -2, 4, 0, -4, 6, 0, 8, -2, 0, 2, 8, 0, 6, 4, 0, -8, 2, 0, -12, -14, 0, -12, 4, 0, -4, 2, 0, -8, 16, 0, -8, 4, 0, 2, 16, 0, 20, 12, 0, 2, -12, 0, 2, -6, 0, 4, 8, 0, -22, 4, 0, -10, -12, 0, 4, 2, 0, -4, -18, 0, 12, 4, 0, -6, -20, 0, 2, -8, 0, 2, 18, 0, 4, -2, 0, -8, 12, 0, 24, -6, 0, -4, 10, 0, 12, 8, 0, -2, 4, 0, 40, 12, 0, 14, -16, 0, -20, 12, 0, -4, 2, 0, 30, 4, 0, -2, -24, 0, 14, 8, 0, -16, 0, 0, -6, 8, 0, -4, 0, 0, 16, -2, 0, -16, -30, 0, 10, -20, 0, -12, 26, 0, -4, -2, 0, 12, -2, 0, 16, -2, 0, 6, 24, 0, 10, -4, 0, -8, 28, 0, 44, 22, 0, 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0, 24, 16, 0, 98, 16, 0, -8, 44, 0, 124, 4, 0, -56, -116, 0, -92, -14, 0, -20, 122, 0, -12, 24, 0, -84, 90, 0, -60, 40, 0, 50, -28, 0, -20, 14, 0, -16, 20, 0, 88, 48, 0, 40, 12, 0, 48, -32, 0, -92, 24, 0, -4, 0, 0, -10, -24, 0, -38, 12, 0, 24, 20, 0, -34, -74, 0, -8, -12, 0, 80, 26, 0, 52, 44, 0, -8, -12, 0, -12, 34, 0, -164, -18, 0, -48, -36, 0, 16, 36, 0, 14, -132, 0, -4, 56, 0, 20, -108, 0, -6, -124, 0, 28, -42, 0, -12, -16, 0, -46, 4, 0, -4, 92, 0, 24, 44, 0, -32, 12, 0, 4, -54, 0, 70, 16, 0, -36, 44, 0, 32, 4, 0, -60, 44, 0, -24, 44, 0, -20, -24, 0, 60, 2, 0, 12, 14, 0, -92, -58, 0, 28, 12, 0, 20, 12, 0, 48, 2, 0, 24, -60, 0, 40, 64, 0, -148, -20, 0, 8, 0, 0, -4, 84, 0, -32, -28, 0, -120, 32, 0, 88, 36, 0, -72, 48, 0, -4, 20, 0, -72, 50, 0, 48, 120, 0, -6, 42, 0, -46, 100, 0, 78, 2, 0, 60, -44, 0, -40, -18, 0, 10, -72, 0, 62, 16, 0, 44, -70, 0, -36, 16, 0, -14, -112, 0, -8, 0, 0, -24, 24, 0, -56, 56, 0, 30, 136, 0, 100, 16, 0, 34, -32, 0, 108, 52, 0, 18, -128, 0, -68, 4, 0, 12, 18, 0, 16, 8, 0, 20, -24, 0, -58, 4, 0, -8, -84, 0, 4, 36, 0, -60, -68, 0, 16, 4, 0, 10, -84, 0, -32, 20, 0, -2, 12, 0, -12, 24, 0, -16, -100, 0, -68, -12, 0, -20, 16, 0, -44, -24, 0, -48, -78, 0, 176, -40, 0, 24, 26, 0, -20, 20, 0, -44, 44, 0, -64, -4, 0, -6, 174, 0, -108, -16, 0, -72, -60, 0, -66, 26, 0, 14, -144, 0, 80, -18, 0, 64, 52, 0, -52, -20, 0, 24, 18, 0, 32, 8, 0, 88, 62, 0, 32, -56, 0, 20, -16, 0, -8, -44, 0, 36, -104, 0, -72, -10, 0, 18, 26, 0, 116, 50, 0, 52, 12, 0, -40, -28, 0, -16, 44, 0, 36, -48, 0, 2, 84, 0, -4, 4, 0, 24, 72, 0, 18, 0, 0, 44, -96, 0, -18, -44, 0, -42, 108, 0, -44, -8, 0, -28, 134, 0, -86, -10, 0, 28, -90, 0, 42, -16, 0, 12, -18, 0, -48, 56, 0, -6, 72, 0, -32, -16, 0, 76, 12, 0, -4, -36, 0, -52, -24, 0, -8, 8, 0, -12, 88, 0, -40, 76, 0, 2, 112, 0, -14, 50, 0, 70, -76, 0, -120, -36, 0, 34, 12, 0, 72, 32, 0, 54, 132, 0, 44, 18, 0, -4, 66, 0, -240, -56, 0, -12, 16, 0, -16, -16, 0, -46, 20, 0, 76, 0, 0, -76, 16, 0, -30, -72, 0, -24, -66, 0, -120, 72, 0, 12, 12, 0, 8, 20, 0, -20, 36, 0, 68, -20, 0, 4, -4, 0, 18, 72, 0, 16, -68, 0, 2, -12, 0, -48, 108, 0, 52, 68, 0, -84, -140, 0, 144, -2, 0, -50, 104, 0, 20, -32, 0, 12, 12, 0, -12, -88, 0, 124, 96, 0, -104, 32, 0, 62, 4, 0, 24, -50, 0, 132, 14, 0, -172, 78, 0, -16, 16, 0, -24, 12, 0, -32, 148, 0, -120, 64, 0, -8, -38, 0, 76, -30, 0, -56, 88, 0, 120, 4, 0, 32, 36, 0, 108, -2, 0, 102, 84, 0, -48, 12, 0, 44, 98, 0, 26, -34, 0, 62, -30, 0, -20, -60, 0, 10, -88, 0, -80, 80, 0, 12, -64, 0, 64, -58, 0, 62, -46, 0, 152, -20, 0, 2, 26, 0, -112, -32, 0, -24, 24, 0, -64, 4, 0, 24, -108, 0, -200, 124, 0, 20, 72, 0, 14, 26, 0, -60, 120, 0, 12, -68, 0, -12, -12, 0, 48, -6, 0, -36, -84, 0, -30, -72, 0, -8, -38, 0, 26, 26, 0, -84, -38, 0, 44, -40, 0, 56, -48, 0, 70, 44, 0, 76, 56, 0, -40, 38, 0, -64, 28, 0, -180, 52, 0, 28, -44, 0, 216, -48, 0, -4, 60, 0, -132, -12, 0, -12, 16, 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], [-1, 0], [0, 0], [1, 0], [1, 1], [0, 0], [-2, 1], [-1, 0], [0, 0], [-1, -1], [-1, 0], [0, 0], [-2, 1], [2, -1], [0, 0], [1, 0], [2, -1], [0, 0], [-6, 0], [1, 1], [0, 0], [1, 0], [6, 0], [0, 0], [2, 2], [2, -1], [0, 0], [-2, 1], [2, 3], [0, 0], [1, 0], [-1, 0], [0, 0], [-2, 1], [4, -1], [0, 0], [7, 1], [6, 0], [0, 0], [-1, -1], [4, 3], [0, 0], [-2, -1], [-1, 0], [0, 0], [-6, 0], [-1, -2], [0, 0], [3, -4], [-2, -2], [0, 0], [-2, 1], [5, -3], [0, 0], [-1, -1], [2, -1], [0, 0], [-2, -3], [3, 1], [0, 0], [4, -4], [-1, 0], [0, 0], [1, 0], [4, -1], [0, 0], [3, 3], [2, -1], [0, 0], [-4, 1], [1, 4], [0, 0], [-6, 3], [-7, -1], [0, 0], [-6, 0], [2, -1], [0, 0], [-2, -3], [1, 1], [0, 0], [-4, -3], [8, 0], [0, 0], [-4, 1], [2, 1], [0, 0], [1, 0], [8, 4], [0, 0], [10, -4], [6, 0], [0, 0], [1, 2], [-6, -6], [0, 0], [1, -4], [-3, 4], [0, 0], [2, 2]], 'ap': [[-1, 0], [0, 0], [1, 1], [-2, 1], [-1, 0], [-2, 1], [2, -1], [-6, 0], [6, 0], [2, 3], [1, 0], [7, 1], [4, 3], [-2, -1], [-1, -2], [5, -3], [3, 1], [4, -4], [3, 3], [1, 4], [-6, 3], [-2, -3], [8, 0], [8, 4], [1, -4], [4, -6], [-11, 0], [-6, -3], [2, -2], [-9, 2], [2, 0], [6, 1], [5, 2], [6, 5], [-8, -4], [-10, 5], [15, -1], [7, 1], [0, -2], [0, -1], [-15, -3], [5, 1], [-1, -4], [8, -2], [12, 5], [5, 0], [-6, 4], [14, -2], [18, -1], [16, 2], [6, -1], [-16, -5], [-6, 6], [8, -6], [6, 0], [10, 3], [-13, 3], [-14, -4], [14, 4], [-10, -4], [-8, -9], [4, -11], [-16, 1], [-5, 2], [0, 6], [-10, -8], [-25, -1], [8, -11], [12, 5], [10, -9], [-6, 8], [-16, 6], [-13, -10], [-26, -2], [-8, -6], [-9, 6], [-1, 7], [15, -5], [-21, 2], [-10, 3], [-3, 5], [-9, 1], [4, -1], [-12, 10], [-26, 6], [-21, 7], [-9, 0], [22, 0], [0, -5], [10, 0], [23, -7], [8, -4], [1, 0], [0, -10], [-29, -1], [-10, 10], [26, -4], [15, -8], [8, 3], [6, 5], [-2, -6], [-8, 2], [18, 9], [-8, -13], [-4, 13], [25, 4], [13, -1], [28, -1], [6, -12], [-18, -6], [14, -3], [-16, 0], [25, -8], [-23, 7], [9, -6], [12, 4], [-10, -8], [10, 8], [-9, -15], [-22, 2], [9, -7], [14, 6], [-8, -2], [25, -9], [-23, -11], [-6, 4], [31, -5], [-1, -2], [31, 0], [10, -9], [-4, -6], [22, -2], [-11, 6], [-3, 5], [14, 1], [4, 2], [-10, -12], [-10, -6], [-1, -3], [44, -3], [-6, 1], [8, 5], [0, -4], [0, 8], [-33, -3], [-6, -14], [-30, -6], [-8, 5], [25, 5], [-6, -2], [10, 2], [5, -12], [5, -1], [6, 11], [-18, 8], [7, 10], [-40, 2], [-33, -4], [4, -15], [12, -3], [35, -7], [-42, 2], [-22, -10], [28, -8], [4, -12], [1, -14], [-2, 4], [20, -2], [32, -10], [-10, -10], [0, -3], [25, 5], [-12, -6], [0, -6], [-19, -12], [15, 0], [46, -3], [54, -2], [2, 5], [24, 16], [10, 2], [12, 3], [-6, 6], [-16, 1], [13, 2], [-27, 3], [10, -4], [-31, 3], [-46, -5], [42, 2], [-20, -14], [46, -4], [37, -7], [24, -10], [-10, -2], [23, 6], [-8, -5], [29, -7], [-24, -3], [-4, 7], [-44, 6], [-24, -16], [-21, 3], [-8, -18], [-17, -1], [-5, 9], [-10, -6], [8, 11], [24, -14], [20, 8], [2, -16], [36, 6], [-13, -20], [-32, 14], [-18, 1], [5, 10], [14, 21], [6, 2], [-35, 6], [-27, 1], [8, 17], [-36, -1], [25, -12], [-39, 8], [16, -8], [-32, -10], [28, 2], [-51, 6], [30, 4], [-6, -7], [29, 3], [16, -12], [34, 6], [42, -7], [20, 6], [-38, 9], [-19, 6], [-14, -7], [6, 4], [27, -20], [-69, 1], [14, -16], [17, 6], [-5, -13], [22, -16], [-8, -11], [-8, 20], [36, 6], [62, 4], [48, -1], [-4, -7], [-26, 6], [-37, -10], [5, -6], [18, 11], [-12, 4], [61, 7], [44, -3], [6, 16], [10, 23], [-20, -12], [16, 1], [24, 3], [2, 23], [-21, -24], [9, -1], [-6, -8], [-63, 2], [40, -11], [28, 18], [21, -11], [-13, -21], [3, 18], [-34, -14], [-6, -14], [30, -10], [-36, 10], [2, -3], [8, 3], [34, 7], [64, 1], [39, -8], [24, 9], [20, 14], [24, 18], [15, 22], [-39, 0], [-16, 22], [-27, -4], [48, -4], [-6, 10], [19, 13], [-52, -6], [22, 3], [6, 0], [-42, -11], [-41, 4], [24, -2], [-20, 14], [50, 7], [36, 18], [12, 19], [12, -2], [21, 15], [12, -26], [-8, 10], [-39, -9], [14, -6], [27, -14], [0, -25], [-32, 5], [-38, 10], [-28, -12], [-31, 15], [-30, 3], [16, 5], [31, -1], [54, 1], [-37, 0], [54, 10], [-30, -10], [-52, 4], [40, 4], [57, 0], [-24, -16], [-16, -22], [-9, 11], [16, -10], [58, -2], [48, -7], [-30, -15], [-36, 6], [4, 15], [54, 15], [-8, -15], [45, 9], [3, 31], [-12, -14], [49, -14], [62, 2], [-46, -18], [61, 2], [-14, 9], [-10, 0], [-12, 30], [10, 22], [-17, 15], [40, -12], [22, 5], [17, 9], [-2, -24], [-3, 18], [-21, -19], [-6, 17], [-2, 9], [22, -15], [-27, -16], [22, -3], [-12, -8], [7, -2], [12, -11], [32, 17], [0, -12], [18, 18], [-36, 16], [-3, -18], [50, 18], [-4, -10], [54, 18], [9, 19], [-29, 11], [-42, 14], [-34, -25], [8, -5], [-16, 10], [-39, -7], [22, 23], [-32, 13], [-72, 2], [-26, -12], [9, -19], [-8, 32], [58, -12], [22, -18], [18, -17], [42, 2], [9, -6], [-9, 21], [-22, 23], [67, -10], [-43, 18], [-45, 1], [-9, 9], [-16, 16], [6, 12], [-2, -9], [-4, -1], [56, -10], [-7, -13], [6, 34], [22, -17], [33, 14], [38, -21], [-33, -6], [18, -4], [34, -26], [9, 23], [-34, 5], [1, 27], [52, 8], [-52, 7], [2, -10], [7, 9], [-12, 26], [-60, 3], [-19, 17], [42, -2], [13, 24], [-44, -18], [-32, -2], [-23, 7], [-56, -16], [-54, 20], [60, -14], [-15, -10], [-19, -29], [-19, -23], [-24, -8], [35, 27], [8, 3]], 'char_orbit_index': 1, 'field_poly': [-6, 0, 1], 'hecke_orbit_code': 54043195562002166, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '1782.2.a.m', 'level': 1782, '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': [4, 5, 6, 5, 6, 3, 4, 7], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [29, 36, 35, 30, 31, 37, 33, 30], 'Nk2': 7128, 'analytic_conductor': 14.229341640192164, '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': [1782, 1, [1541, 1135], [1, 1]], 'conrey_index': 1, 'cusp_dim': 301, 'dim': 40, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 13, 23], 'hecke_orbit_code': 33556214, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4], 'label': '1782.2.a', 'level': 1782, '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, 11], 'level_radical': 66, 'mf_dim': 348, 'mf_new_dim': 40, 'num_forms': 22, 'plus_dim': 16, 'prim_orbit_index': 1, 'relative_dim': 40, 'sturm_bound': 648, 'trace_bound': 7, 'trace_display': [0, 0, 0, 8], 'traces': [40, 0, 0, 40, 0, 0, 8, 0, 0, -12, 0, 0, -4, 0, 0, 40, 0, 0, 8, 0, 0, 0, 0, 0, 40, 0, 0, 8, 0, 0, 20, 0, 0, -12, 0, 0, 8, 0, 0, -12, 0, 0, 8, 0, 0, 24, 0, 0, 72, 0, 0, -4, 0, 0, 12, 0, 0, -12, 0, 0, -28, 0, 0, 40, 0, 0, -28, 0, 0, 24, 0, 0, -52, 0, 0, 8, 0, 0, 8, 0, 0, -24, 0, 0, -36, 0, 0, 0, 0, 0, -32, 0, 0, 24, 0, 0, -4, 0, 0, 40, 0, 0, -28, 0, 0, -24, 0, 0, 20, 0, 0, 8, 0, 0, 24, 0, 0, 0, 0, 0, 40, 0, 0, 20, 0, 0, 56, 0, 0, 12, 0, 0, 40, 0, 0, -12, 0, 0, 80, 0, 0, 48, 0, 0, 60, 0, 0, 8, 0, 0, -40, 0, 0, 0, 0, 0, -40, 0, 0, -12, 0, 0, 44, 0, 0, 24, 0, 0, 84, 0, 0, 8, 0, 0, 176, 0, 0, -12, 0, 0, 20, 0, 0, 24, 0, 0, 0, 0, 0, 48, 0, 0, -100, 0, 0, 72, 0, 0, 44, 0, 0, -48, 0, 0, -24, 0, 0, -4, 0, 0, -40, 0, 0, 0, 0, 0, -128, 0, 0, 12, 0, 0, -64, 0, 0, -12, 0, 0, -100, 0, 0, -12, 0, 0, -84, 0, 0, 72, 0, 0, -28, 0, 0, -28, 0, 0, -104, 0, 0, -12, 0, 0, -72, 0, 0, 40, 0, 0, -8, 0, 0, -24, 0, 0, -108, 0, 0, -28, 0, 0, -136, 0, 0, -60, 0, 0, -112, 0, 0, 24, 0, 0, 32, 0, 0, 0, 0, 0, -44, 0, 0, -52, 0, 0, -108, 0, 0, 60, 0, 0, -8, 0, 0, 8, 0, 0, -184, 0, 0, -96, 0, 0, -52, 0, 0, 8, 0, 0, -24, 0, 0, -24, 0, 0, -40, 0, 0, -24, 0, 0, -124, 0, 0, 48, 0, 0, -112, 0, 0, -36, 0, 0, 160, 0, 0, 36, 0, 0, -40, 0, 0, 0, 0, 0, 12, 0, 0, 24, 0, 0, 72, 0, 0, -32, 0, 0, -28, 0, 0, -132, 0, 0, 56, 0, 0, 24, 0, 0, 80, 0, 0, 48, 0, 0, 0, 0, 0, -4, 0, 0, 24, 0, 0, -36, 0, 0, -64, 0, 0, 40, 0, 0, 256, 0, 0, -144, 0, 0, -28, 0, 0, -28, 0, 0, -24, 0, 0, 24, 0, 0, -88, 0, 0, -24, 0, 0, -80, 0, 0, -72, 0, 0, -52, 0, 0, 20, 0, 0, 80, 0, 0, -12, 0, 0, -60, 0, 0, 8, 0, 0, -48, 0, 0, -216, 0, 0, -100, 0, 0, 24, 0, 0, 104, 0, 0, -84, 0, 0, -104, 0, 0, 0, 0, 0, 152, 0, 0, 120, 0, 0, 52, 0, 0, 40, 0, 0, 188, 0, 0, -36, 0, 0, 84, 0, 0, 20, 0, 0, -28, 0, 0, -72, 0, 0, -120, 0, 0, 56, 0, 0, -8, 0, 0, -60, 0, 0, 12, 0, 0, 12, 0, 0, -64, 0, 0, -72, 0, 0, -8, 0, 0, 40, 0, 0, 96, 0, 0, 12, 0, 0, -52, 0, 0, -12, 0, 0, -112, 0, 0, 0, 0, 0, -80, 0, 0, 80, 0, 0, -80, 0, 0, -204, 0, 0, -24, 0, 0, 48, 0, 0, 32, 0, 0, -72, 0, 0, -40, 0, 0, 60, 0, 0, 12, 0, 0, -84, 0, 0, 16, 0, 0, 8, 0, 0, 336, 0, 0, 168, 0, 0, -292, 0, 0, -40, 0, 0, 128, 0, 0, -36, 0, 0, 152, 0, 0, 0, 0, 0, -220, 0, 0, 0, 0, 0, 88, 0, 0, -40, 0, 0, 164, 0, 0, 12, 0, 0, 36, 0, 0, -12, 0, 0, 56, 0, 0, 72, 0, 0, 60, 0, 0, 44, 0, 0, 312, 0, 0, 72, 0, 0, -184, 0, 0, 24, 0, 0, 0, 0, 0, 120, 0, 0, 164, 0, 0, 84, 0, 0, -320, 0, 0, -24, 0, 0, 72, 0, 0, 8, 0, 0, 212, 0, 0, -192, 0, 0, 312, 0, 0, 176, 0, 0, -152, 0, 0, -72, 0, 0, 152, 0, 0, -12, 0, 0, 48, 0, 0, 120, 0, 0, 280, 0, 0, 20, 0, 0, 212, 0, 0, -372, 0, 0, 80, 0, 0, 24, 0, 0, 8, 0, 0, 120, 0, 0, -84, 0, 0, 0, 0, 0, -76, 0, 0, -324, 0, 0, -244, 0, 0, 48, 0, 0, 184, 0, 0, -24, 0, 0, 308, 0, 0, -100, 0, 0, 344, 0, 0, -48, 0, 0, 36, 0, 0, 72, 0, 0, -304, 0, 0, 168, 0, 0, 100, 0, 0, 44, 0, 0, -24, 0, 0, 36, 0, 0, 48, 0, 0, -48, 0, 0, -88, 0, 0, 48, 0, 0, 88, 0, 0, -24, 0, 0, 104, 0, 0, 144, 0, 0, -316, 0, 0, -4, 0, 0, -216, 0, 0, 144, 0, 0, -212, 0, 0, -40, 0, 0, 8, 0, 0, -48, 0, 0, -208, 0, 0, 0, 0, 0, -148, 0, 0, 96, 0, 0, 228, 0, 0, -128, 0, 0, 112, 0, 0, 0, 0, 0, 20, 0, 0, 12, 0, 0, -124, 0, 0, -24, 0, 0, -464, 0, 0, -64, 0, 0, 156, 0, 0, -216, 0, 0, 24, 0, 0, -12, 0, 0, -40, 0, 0, 216, 0, 0, -24, 0, 0, -100, 0, 0, 8, 0, 0, 48, 0, 0, -280, 0, 0, -12, 0, 0, 0, 0, 0, -192, 0, 0, 260, 0, 0, -84, 0, 0, 288, 0, 0, 0, 0, 0, 196, 0, 0, 72, 0, 0, 132, 0, 0, 48, 0, 0, 36, 0, 0, -28, 0, 0, 80, 0, 0, 144, 0, 0, 112, 0, 0, -28, 0, 0, -72, 0, 0, 72, 0, 0, -12, 0, 0, -104, 0, 0, -280, 0, 0, -72, 0, 0, 452, 0, 0, -12], '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: 810988
    {'conductor': 9, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1782.2.a.m', 'source_level': 1782, 'target_char_orbit': 5, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '198.2.e.c', 'target_level': 198, 'twist_class_label': '198.2.e.c', 'twist_class_level': 198, 'twisting_char_label': '9.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 810989
    {'conductor': 9, 'degree': 2, 'multiplicity': 2, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1782.2.a.m', 'source_level': 1782, 'target_char_orbit': 5, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '594.2.e.c', 'target_level': 594, 'twist_class_label': '198.2.e.c', 'twist_class_level': 198, 'twisting_char_label': '9.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 810990
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1782.2.a.m', 'source_level': 1782, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '1782.2.a.m', 'target_level': 1782, 'twist_class_label': '198.2.e.c', 'twist_class_level': 198, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 810991
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1782.2.a.m', 'source_level': 1782, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '1782.2.a.o', 'target_level': 1782, 'twist_class_label': '198.2.e.c', 'twist_class_level': 198, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2202275
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 54043195562002166, 'p': 2}
  • id: 2202276
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 54043195562002166, 'p': 3}
  • id: 2202277
    {'charpoly_factorization': [[[-5, -2, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 5}
  • id: 2202278
    {'charpoly_factorization': [[[-2, 4, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 7}
  • id: 2202279
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 54043195562002166, 'p': 11}
  • id: 2202280
    {'charpoly_factorization': [[[-2, 4, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 13}
  • id: 2202281
    {'charpoly_factorization': [[[-2, -4, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 17}
  • id: 2202282
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 54043195562002166, 'p': 19}
  • id: 2202283
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 54043195562002166, 'p': 23}
  • id: 2202284
    {'charpoly_factorization': [[[-50, -4, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 29}
  • id: 2202285
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 54043195562002166, 'p': 31}
  • id: 2202286
    {'charpoly_factorization': [[[43, -14, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 37}
  • id: 2202287
    {'charpoly_factorization': [[[-38, -8, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 41}
  • id: 2202288
    {'charpoly_factorization': [[[-2, 4, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 43}
  • id: 2202289
    {'charpoly_factorization': [[[-23, 2, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 47}
  • id: 2202290
    {'charpoly_factorization': [[[-29, -10, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 53}
  • id: 2202291
    {'charpoly_factorization': [[[3, -6, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 59}
  • id: 2202292
    {'charpoly_factorization': [[[-80, -8, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 61}
  • id: 2202293
    {'charpoly_factorization': [[[-45, -6, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 67}
  • id: 2202294
    {'charpoly_factorization': [[[-95, -2, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 71}
  • id: 2202295
    {'charpoly_factorization': [[[-18, 12, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 73}
  • id: 2202296
    {'charpoly_factorization': [[[-50, 4, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 79}
  • id: 2202297
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 54043195562002166, 'p': 83}
  • id: 2202298
    {'charpoly_factorization': [[[-32, -16, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 89}
  • id: 2202299
    {'charpoly_factorization': [[[-95, -2, 1], 1]], 'hecke_orbit_code': 54043195562002166, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 13, 'label': '1782.2.a.m', 'level': 1782, '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: 57096151
    {'hecke_orbit_code': 54043195562002166, 'n': 1, 'trace_an': 2}
  • id: 57096152
    {'hecke_orbit_code': 54043195562002166, 'n': 2, 'trace_an': -2}
  • id: 57096153
    {'hecke_orbit_code': 54043195562002166, 'n': 3, 'trace_an': 0}
  • id: 57096154
    {'hecke_orbit_code': 54043195562002166, 'n': 4, 'trace_an': 2}
  • id: 57096155
    {'hecke_orbit_code': 54043195562002166, 'n': 5, 'trace_an': 2}
  • id: 57096156
    {'hecke_orbit_code': 54043195562002166, 'n': 6, 'trace_an': 0}
  • id: 57096157
    {'hecke_orbit_code': 54043195562002166, 'n': 7, 'trace_an': -4}
  • id: 57096158
    {'hecke_orbit_code': 54043195562002166, 'n': 8, 'trace_an': -2}
  • id: 57096159
    {'hecke_orbit_code': 54043195562002166, 'n': 9, 'trace_an': 0}
  • id: 57096160
    {'hecke_orbit_code': 54043195562002166, 'n': 10, 'trace_an': -2}
  • id: 57096161
    {'hecke_orbit_code': 54043195562002166, 'n': 11, 'trace_an': -2}
  • id: 57096162
    {'hecke_orbit_code': 54043195562002166, 'n': 12, 'trace_an': 0}
  • id: 57096163
    {'hecke_orbit_code': 54043195562002166, 'n': 13, 'trace_an': -4}
  • id: 57096164
    {'hecke_orbit_code': 54043195562002166, 'n': 14, 'trace_an': 4}
  • id: 57096165
    {'hecke_orbit_code': 54043195562002166, 'n': 15, 'trace_an': 0}
  • id: 57096166
    {'hecke_orbit_code': 54043195562002166, 'n': 16, 'trace_an': 2}
  • id: 57096167
    {'hecke_orbit_code': 54043195562002166, 'n': 17, 'trace_an': 4}
  • id: 57096168
    {'hecke_orbit_code': 54043195562002166, 'n': 18, 'trace_an': 0}
  • id: 57096169
    {'hecke_orbit_code': 54043195562002166, 'n': 19, 'trace_an': -12}
  • id: 57096170
    {'hecke_orbit_code': 54043195562002166, 'n': 20, 'trace_an': 2}
  • id: 57096171
    {'hecke_orbit_code': 54043195562002166, 'n': 21, 'trace_an': 0}
  • id: 57096172
    {'hecke_orbit_code': 54043195562002166, 'n': 22, 'trace_an': 2}
  • id: 57096173
    {'hecke_orbit_code': 54043195562002166, 'n': 23, 'trace_an': 12}
  • id: 57096174
    {'hecke_orbit_code': 54043195562002166, 'n': 24, 'trace_an': 0}
  • id: 57096175
    {'hecke_orbit_code': 54043195562002166, 'n': 25, 'trace_an': 4}
  • id: 57096176
    {'hecke_orbit_code': 54043195562002166, 'n': 26, 'trace_an': 4}
  • id: 57096177
    {'hecke_orbit_code': 54043195562002166, 'n': 27, 'trace_an': 0}
  • id: 57096178
    {'hecke_orbit_code': 54043195562002166, 'n': 28, 'trace_an': -4}
  • id: 57096179
    {'hecke_orbit_code': 54043195562002166, 'n': 29, 'trace_an': 4}
  • id: 57096180
    {'hecke_orbit_code': 54043195562002166, 'n': 30, 'trace_an': 0}
  • id: 57096181
    {'hecke_orbit_code': 54043195562002166, 'n': 31, 'trace_an': 2}
  • id: 57096182
    {'hecke_orbit_code': 54043195562002166, 'n': 32, 'trace_an': -2}
  • id: 57096183
    {'hecke_orbit_code': 54043195562002166, 'n': 33, 'trace_an': 0}
  • id: 57096184
    {'hecke_orbit_code': 54043195562002166, 'n': 34, 'trace_an': -4}
  • id: 57096185
    {'hecke_orbit_code': 54043195562002166, 'n': 35, 'trace_an': 8}
  • id: 57096186
    {'hecke_orbit_code': 54043195562002166, 'n': 36, 'trace_an': 0}
  • id: 57096187
    {'hecke_orbit_code': 54043195562002166, 'n': 37, 'trace_an': 14}
  • id: 57096188
    {'hecke_orbit_code': 54043195562002166, 'n': 38, 'trace_an': 12}
  • id: 57096189
    {'hecke_orbit_code': 54043195562002166, 'n': 39, 'trace_an': 0}
  • id: 57096190
    {'hecke_orbit_code': 54043195562002166, 'n': 40, 'trace_an': -2}
  • id: 57096191
    {'hecke_orbit_code': 54043195562002166, 'n': 41, 'trace_an': 8}
  • id: 57096192
    {'hecke_orbit_code': 54043195562002166, 'n': 42, 'trace_an': 0}
  • id: 57096193
    {'hecke_orbit_code': 54043195562002166, 'n': 43, 'trace_an': -4}
  • id: 57096194
    {'hecke_orbit_code': 54043195562002166, 'n': 44, 'trace_an': -2}
  • id: 57096195
    {'hecke_orbit_code': 54043195562002166, 'n': 45, 'trace_an': 0}
  • id: 57096196
    {'hecke_orbit_code': 54043195562002166, 'n': 46, 'trace_an': -12}
  • id: 57096197
    {'hecke_orbit_code': 54043195562002166, 'n': 47, 'trace_an': -2}
  • id: 57096198
    {'hecke_orbit_code': 54043195562002166, 'n': 48, 'trace_an': 0}
  • id: 57096199
    {'hecke_orbit_code': 54043195562002166, 'n': 49, 'trace_an': 6}
  • id: 57096200
    {'hecke_orbit_code': 54043195562002166, 'n': 50, 'trace_an': -4}
  • id: 57096201
    {'hecke_orbit_code': 54043195562002166, 'n': 51, 'trace_an': 0}
  • id: 57096202
    {'hecke_orbit_code': 54043195562002166, 'n': 52, 'trace_an': -4}
  • id: 57096203
    {'hecke_orbit_code': 54043195562002166, 'n': 53, 'trace_an': 10}
  • id: 57096204
    {'hecke_orbit_code': 54043195562002166, 'n': 54, 'trace_an': 0}
  • id: 57096205
    {'hecke_orbit_code': 54043195562002166, 'n': 55, 'trace_an': -2}
  • id: 57096206
    {'hecke_orbit_code': 54043195562002166, 'n': 56, 'trace_an': 4}
  • id: 57096207
    {'hecke_orbit_code': 54043195562002166, 'n': 57, 'trace_an': 0}
  • id: 57096208
    {'hecke_orbit_code': 54043195562002166, 'n': 58, 'trace_an': -4}
  • id: 57096209
    {'hecke_orbit_code': 54043195562002166, 'n': 59, 'trace_an': 6}
  • id: 57096210
    {'hecke_orbit_code': 54043195562002166, 'n': 60, 'trace_an': 0}
  • id: 57096211
    {'hecke_orbit_code': 54043195562002166, 'n': 61, 'trace_an': 8}
  • id: 57096212
    {'hecke_orbit_code': 54043195562002166, 'n': 62, 'trace_an': -2}
  • id: 57096213
    {'hecke_orbit_code': 54043195562002166, 'n': 63, 'trace_an': 0}
  • id: 57096214
    {'hecke_orbit_code': 54043195562002166, 'n': 64, 'trace_an': 2}
  • id: 57096215
    {'hecke_orbit_code': 54043195562002166, 'n': 65, 'trace_an': 8}
  • id: 57096216
    {'hecke_orbit_code': 54043195562002166, 'n': 66, 'trace_an': 0}
  • id: 57096217
    {'hecke_orbit_code': 54043195562002166, 'n': 67, 'trace_an': 6}
  • id: 57096218
    {'hecke_orbit_code': 54043195562002166, 'n': 68, 'trace_an': 4}
  • id: 57096219
    {'hecke_orbit_code': 54043195562002166, 'n': 69, 'trace_an': 0}
  • id: 57096220
    {'hecke_orbit_code': 54043195562002166, 'n': 70, 'trace_an': -8}
  • id: 57096221
    {'hecke_orbit_code': 54043195562002166, 'n': 71, 'trace_an': 2}
  • id: 57096222
    {'hecke_orbit_code': 54043195562002166, 'n': 72, 'trace_an': 0}
  • id: 57096223
    {'hecke_orbit_code': 54043195562002166, 'n': 73, 'trace_an': -12}
  • id: 57096224
    {'hecke_orbit_code': 54043195562002166, 'n': 74, 'trace_an': -14}
  • id: 57096225
    {'hecke_orbit_code': 54043195562002166, 'n': 75, 'trace_an': 0}
  • id: 57096226
    {'hecke_orbit_code': 54043195562002166, 'n': 76, 'trace_an': -12}
  • id: 57096227
    {'hecke_orbit_code': 54043195562002166, 'n': 77, 'trace_an': 4}
  • id: 57096228
    {'hecke_orbit_code': 54043195562002166, 'n': 78, 'trace_an': 0}
  • id: 57096229
    {'hecke_orbit_code': 54043195562002166, 'n': 79, 'trace_an': -4}
  • id: 57096230
    {'hecke_orbit_code': 54043195562002166, 'n': 80, 'trace_an': 2}
  • id: 57096231
    {'hecke_orbit_code': 54043195562002166, 'n': 81, 'trace_an': 0}
  • id: 57096232
    {'hecke_orbit_code': 54043195562002166, 'n': 82, 'trace_an': -8}
  • id: 57096233
    {'hecke_orbit_code': 54043195562002166, 'n': 83, 'trace_an': 16}
  • id: 57096234
    {'hecke_orbit_code': 54043195562002166, 'n': 84, 'trace_an': 0}
  • id: 57096235
    {'hecke_orbit_code': 54043195562002166, 'n': 85, 'trace_an': -8}
  • id: 57096236
    {'hecke_orbit_code': 54043195562002166, 'n': 86, 'trace_an': 4}
  • id: 57096237
    {'hecke_orbit_code': 54043195562002166, 'n': 87, 'trace_an': 0}
  • id: 57096238
    {'hecke_orbit_code': 54043195562002166, 'n': 88, 'trace_an': 2}
  • id: 57096239
    {'hecke_orbit_code': 54043195562002166, 'n': 89, 'trace_an': 16}
  • id: 57096240
    {'hecke_orbit_code': 54043195562002166, 'n': 90, 'trace_an': 0}
  • id: 57096241
    {'hecke_orbit_code': 54043195562002166, 'n': 91, 'trace_an': 20}
  • id: 57096242
    {'hecke_orbit_code': 54043195562002166, 'n': 92, 'trace_an': 12}
  • id: 57096243
    {'hecke_orbit_code': 54043195562002166, 'n': 93, 'trace_an': 0}
  • id: 57096244
    {'hecke_orbit_code': 54043195562002166, 'n': 94, 'trace_an': 2}
  • id: 57096245
    {'hecke_orbit_code': 54043195562002166, 'n': 95, 'trace_an': -12}
  • id: 57096246
    {'hecke_orbit_code': 54043195562002166, 'n': 96, 'trace_an': 0}
  • id: 57096247
    {'hecke_orbit_code': 54043195562002166, 'n': 97, 'trace_an': 2}
  • id: 57096248
    {'hecke_orbit_code': 54043195562002166, 'n': 98, 'trace_an': -6}
  • id: 57096249
    {'hecke_orbit_code': 54043195562002166, 'n': 99, 'trace_an': 0}
  • id: 57096250
    {'hecke_orbit_code': 54043195562002166, 'n': 100, 'trace_an': 4}