Newform data - 7938.2.a.bg

Formats: - HTML - YAML - JSON - 2026-08-17T16:43:13.903677

• 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': 31752, 'analytic_conductor': 63.38524912449237, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [7, -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': [7938, 1, [6077, 3727], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 12, 'field_disc_factorization': [[2, 2], [3, 1]], 'field_poly': [-3, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 12, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [1, 4, 1]], [11, [-26, -2, 1]], [13, [-3, -6, 1]], [17, [7, 1]], [23, [-26, -2, 1]]], 'hecke_orbit': 33, 'hecke_orbit_code': 144115188109418242, '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': '7938.2.a.bg', 'level': 7938, '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, 7], 'level_radical': 42, 'minimal_twist': '1134.2.a.l', 'nf_label': '2.2.12.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}+q^{4}+(-2+\\beta )q^{5}-q^{8}+(2+\\cdots)q^{10}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '7938.2.a', 'trace_display': [-2, 0, -4, 0], 'trace_hash': 349316755558468723, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.952', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '9.442', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '64.297', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.010', 'prec': 7}, 'traces': [2, -2, 0, 2, -4, 0, 0, -2, 0, 4, 2, 0, 6, 0, 0, 2, -14, 0, 2, -4, 0, -2, 2, 0, 4, -6, 0, 0, 10, 0, -6, -2, 0, 14, 0, 0, 4, -2, 0, 4, -12, 0, 4, 2, 0, -2, -6, 0, 0, -4, 0, 6, -12, 0, 14, 0, 0, -10, 2, 0, 6, 6, 0, 2, 0, 0, -10, -14, 0, 0, 20, 0, -20, -4, 0, 2, 0, 0, 6, -4, 0, 12, -2, 0, 28, -4, 0, -2, -6, 0, 0, 2, 0, 6, -10, 0, -8, 0, 0, 4, -4, 0, -4, -6, 0, 12, 0, 0, -4, -14, 0, 0, -8, 0, -22, 10, 0, -2, 0, 0, 34, -6, 0, -6, -12, 0, 24, -2, 0, 0, -28, 0, 0, 10, 0, 14, -20, 0, 10, 0, 0, -20, 42, 0, -32, 20, 0, 4, 18, 0, -22, -2, 0, 0, -6, 0, 2, -6, 0, 4, 0, 0, -20, -12, 0, 2, 14, 0, 16, -28, 0, 4, -16, 0, 0, 2, 0, 6, 6, 0, 12, 0, 0, -2, 22, 0, -14, -6, 0, 10, 6, 0, 10, 8, 0, 0, -10, 0, 14, -4, 0, 4, 0, 0, 36, 4, 0, 6, -16, 0, -38, -12, 0, 0, -20, 0, 0, 4, 0, 14, -42, 0, 44, 0, 0, 8, 24, 0, -2, 22, 0, -10, -16, 0, 6, 2, 0, 0, 18, 0, 32, -34, 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-70, 0, 88, 0, 0, 4, -112, 0, -16, -18, 0, -96, -42, 0, 94, 84, 0, 0, 54, 0, -48, 18, 0, -52, 0, 0, -16, 102, 0, 30, 118, 0, 82, -6, 0, -50, 8, 0, 0, -58, 0, -28, -30, 0, 98, 0, 0, 70, 96, 0, 24, 140, 0, -22, 44, 0, -48, -32, 0, 0, -40, 0, 80, -44, 0, 18, 0, 0, -294, -2, 0, 54, 106, 0, 80, -24, 0, 36, -134, 0, 0, -30, 0, -54, -44, 0, 108, 0, 0, 12, 80, 0, -132, -16, 0, 30, -136, 0, 0, -90, 0, 0, 224, 0, 154, -28, 0, -6, 0, 0, 82, -20, 0, -8, -12, 0, -50, -6, 0, -140, -42, 0, 0, 26, 0, 10, -40, 0, 48, 0, 0, -44, -118, 0, 96, 72, 0, 34, -84, 0, 6, 20, 0, 0, -58, 0, 126, -54, 0, 2, 0, 0, 18, -28, 0, -30, 34, 0, 20, 72, 0, 10, 88, 0, 0, -6, 0, -104, -88, 0, -126, 0, 0, 42, 40, 0, 16, -48, 0, 0, -72, 0, 24, 4, 0, 0, -98, 0, -80, 26, 0, -60, 0, 0, 56, 82, 0, 4, 114, 0, 38, 20, 0, -42, 154, 0, 0, 0, 0, 50, 168, 0, -152, 0, 0, -36, -114, 0, 18, -56, 0, 14, -12, 0, 126, -12, 0, 0, -28, 0, -56, 68, 0, -52, 0, 0, 10, 36, 0, -8, -26, 0, -120, -12, 0, -20, 52, 0, 0, -12, 0, 64, -100, 0, 80, 0, 0, 68, 0, 0, 60, -12, 0, 60, -20, 0, -180, -90, 0, 0, -104, 0, 42, -52, 0, -24, 0, 0, 16, 52, 0, -2, -56, 0, -76, -4, 0, -24, 14, 0, 0, 28, 0, 2, 36, 0, 106, 0, 0, -120, 44, 0, -12, -24, 0, 46, -14, 0, 46, 14, 0, 0, 0, 0, 10, -60, 0, -14, 0, 0, 74, -66, 0, 42, 22, 0, 70, 94, 0, -2, -96, 0, 0, 12, 0, -32, 14, 0, -10, 0, 0, 16, -78, 0, 68, -72, 0, -90, 82, 0, 90, -56, 0, 0, -24, 0, 46, -28, 0, 134, 0, 0, -80, 18, 0, 60, -14, 0, 60, 24, 0, -68, 78, 0, 0, -84, 0, 46, 14, 0, -102, 0, 0, -86, 48, 0, 86, -78, 0, 4, -120, 0, -86, -60, 0, 0, 90, 0, 204, 16, 0, 56, 0, 0, -172, -16, 0, 80, 140, 0, 12, 26, 0, -36, -34, 0, 0, -26, 0, 0, -74, 0, -44, 0, 0, 84, 84, 0, 38, -4, 0, -24, 12, 0, 68, 98, 0, 0, 96, 0, 14, 34, 0, -78, 0, 0, -10, -14, 0, -26, 8, 0, -128, 2, 0, -84, -8, 0, 0, -14, 0, -36, 8, 0, -42, 0, 0, 68, 18, 0, 100, -24, 0, -32, 38, 0, -98, 52, 0, 0, 26, 0, -54, -44, 0, 6, 0, 0, -90, 48, 0, -12, 78, 0, -2, 44, 0, -18, -56, 0, 0, 6, 0, -76, 6, 0, -40, 0, 0, 8, -112, 0, -102, 12, 0, -112, -46, 0, -8, -8, 0, 0, 34, 0, -74, 30, 0, 128, 0, 0, 60, 24, 0, 12, -30, 0, 156, 68, 0, -114, -142, 0, 0, 72, 0, -68, -4, 0, -144, 0, 0, -36, -24, 0, 44, -28, 0, -46, 24, 0, -198, -28, 0, 0, -100, 0, 28, -78, 0, -60, 0, 0, 46, -2, 0, 36, -78, 0, 112, -38, 0, -2, -24, 0, 0, -28, 0, -76, 120, 0, -76, 0, 0, -30, -76, 0, -142, 22, 0, -48, -14, 0, 144, 22, 0, 0, -36, 0, 156, -60, 0, 24, 0, 0, 18, 32, 0, -36, 228, 0, 2, 40, 0, 36, -92, 0, 0, -18, 0, -14, 132, 0, -30, 0, 0, 54, -86, 0, -68, -48, 0, -72, 38, 0, 96, -6, 0, 0, -84, 0, -64, 2, 0, -6, 0, 0, -50, 62, 0, 22, -58, 0, -76], '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], [-2, 1], [0, 0], [0, 0], [-1, 0], [0, 0], [2, -1], [1, 3], [0, 0], [3, 2], [0, 0], [0, 0], [1, 0], [-7, 0], [0, 0], [1, -1], [-2, 1], [0, 0], [-1, -3], [1, -3], [0, 0], [2, -4], [-3, -2], [0, 0], [0, 0], [5, -2], [0, 0], [-3, -3], [-1, 0], [0, 0], [7, 0], [0, 0], [0, 0], [2, 5], [-1, 1], [0, 0], [2, -1], [-6, 2], [0, 0], [2, -2], [1, 3], [0, 0], [-1, 3], [-3, -1], [0, 0], [0, 0], [-2, 4], [0, 0], [3, 2], [-6, -2], [0, 0], [7, -5], [0, 0], [0, 0], [-5, 2], [1, -3], [0, 0], [3, -4], [3, 3], [0, 0], [1, 0], [0, -1], [0, 0], [-5, -1], [-7, 0], [0, 0], [0, 0], [10, -2], [0, 0], [-10, 1], [-2, -5], [0, 0], [1, -1], [0, 0], [0, 0], [3, -7], [-2, 1], [0, 0], [6, -2], [-1, -9], [0, 0], [14, -7], [-2, 2], [0, 0], [-1, -3], [-3, -4], [0, 0], [0, 0], [1, -3], [0, 0], [3, 1], [-5, 3], [0, 0], [-4, -4], [0, 0], [0, 0], [2, -4]], 'ap': [[-1, 0], [0, 0], [-2, 1], [0, 0], [1, 3], [3, 2], [-7, 0], [1, -1], [1, -3], [5, -2], [-3, -3], [2, 5], [-6, 2], [2, -2], [-3, -1], [-6, -2], [1, -3], [3, -4], [-5, -1], [10, -2], [-10, 1], [3, -7], [-1, -9], [-3, -4], [-4, -4], [-2, -4], [-2, 6], [0, 0], [-2, 3], [-4, -1], [12, 0], [-14, 2], [-10, 1], [5, -1], [9, 0], [-11, 3], [1, 0], [-10, -2], [7, -3], [-8, 1], [3, -3], [6, 6], [3, -5], [5, 8], [-5, 12], [7, 7], [-19, 1], [22, 2], [12, 4], [-1, 2], [-8, 3], [9, -11], [16, -1], [3, 11], [-3, -2], [-15, 5], [10, -9], [-3, 13], [2, -12], [-8, -3], [2, -10], [-12, 5], [8, 8], [-5, -3], [-10, -9], [-21, -6], [2, 6], [-6, -6], [18, 2], [2, -2], [18, 0], [-4, -4], [1, -7], [-20, 8], [-5, -13], [8, -16], [-10, -2], [21, 0], [-12, 13], [-26, 5], [6, 2], [-12, 7], [-18, 2], [-14, -1], [-6, -10], [-17, 1], [2, 8], [7, -8], [-14, 12], [-17, 9], [1, 9], [-1, 13], [-13, 9], [30, -2], [25, -3], [-21, -11], [-18, -8], [30, 0], [-2, -18], [12, -5], [-21, -1], [17, 4], [8, -16], [18, 3], [-21, -1], [-16, -5], [-13, -1], [-9, 18], [-3, -7], [-14, -3], [9, 9], [6, 12], [-14, 15], [-4, 16], [5, -5], [10, 17], [25, -9], [-6, 6], [-6, -14], [-26, -6], [-1, 8], [-1, -10], [-36, 0], [12, -8], [28, 0], [17, 6], [-16, 7], [6, 2], [-34, -10], [-30, -10], [-15, 1], [-30, -6], [-36, 8], [0, 12], [-37, 0], [20, -9], [-8, 7], [18, 6], [0, 17], [20, 7], [-13, -3], [19, 4], [-20, 12], [-6, -10], [14, 0], [2, -2], [22, 16], [3, 8], [-14, -6], [5, -7], [-14, -13], [-6, -14], [-1, -5], [27, 17], [-36, 0], [18, 14], [1, 15], [3, 28], [-14, 23], [22, 7], [-22, -14], [-26, -9], [5, -5], [-21, 7], [30, 16], [-24, -20], [-19, -5], [-17, -14], [11, -8], [6, -8], [-10, -10], [5, 18], [21, 21], [27, 12], [-18, -10], [-2, 6], [36, -8], [-5, -2], [-2, 2], [19, -12], [18, 10], [20, -20], [-20, -11], [10, 22], [-28, 0], [60, -1], [18, -7], [25, 3], [30, 6], [-33, -15], [-4, -15], [-6, -6], [1, -15], [56, 1], [48, 0], [26, -2], [29, 2], [22, -4], [-27, 18], [27, 1], [-15, -14], [45, -3], [10, -10], [-36, -17], [15, 19], [30, 20], [-41, 7], [21, 19], [18, -16], [28, 16], [-34, 0], [4, 11], [6, -14], [-32, -4], [12, -8], [-26, 12], [-14, 10], [-67, 2], [34, -6], [43, 6], [-8, -3], [-49, 3], [42, 9], [22, 2], [6, -34], [-22, -9], [38, 10], [56, -4], [-12, 16], [57, -9], [-36, 7], [14, 6], [19, 25], [24, -19], [-11, 35], [-12, 28], [-16, 13], [-18, -18], [-27, -21], [-11, -21], [1, -25], [-35, 11], [-20, 12], [-36, 8], [38, -22], [21, -17], [-30, 14], [-22, -6], [14, -30], [-21, 15], [10, 27], [15, 10], [0, 20], [2, 27], [-10, -29], [19, 1], [8, -9], [-9, 21], [-26, 13], [22, -16], [-35, -1], [-31, -9], [-7, 20], [50, -16], [6, -2], [-7, 3], [21, 14], [-5, -8], [-26, -2], [3, 6], [21, -6], [-43, -11], [-30, -8], [-22, -26], [-22, -1], [-24, -32], [43, -15], [-24, -17], [-5, 16], [-18, 22], [-21, 21], [-15, -17], [-18, 6], [-5, -14], [-51, -13], [10, 30], [-69, -4], [-38, 14], [49, -11], [21, 28], [-6, 18], [9, -23], [-24, 33], [43, 15], [2, -31], [6, -19], [31, -9], [18, 1], [-12, 0], [-6, 26], [20, -31], [6, 0], [-26, -6], [-30, 22], [-25, 15], [2, -6], [56, -4], [34, -8], [-59, -3], [26, 3], [-6, -18], [-34, -26], [-46, -1], [-43, -23], [-16, -12], [-2, -4], [-39, -11], [8, 20], [-2, -17], [18, 28], [-29, -23], [22, -10], [12, -19], [25, -13], [-22, 12], [22, -9], [-16, 16], [-64, -8], [-5, -25], [10, 2], [-34, 8], [-17, -20], [15, -17], [68, 4], [64, 8], [-11, 5], [36, -29], [1, 30], [10, 44], [-13, -21], [44, -3], [-18, -24], [0, -27], [-42, -14], [-27, 34], [-45, 9], [-5, 28], [-34, 10], [-18, 2], [6, 9], [-8, -16], [47, -2], [27, -10], [-24, -4], [-8, 37], [59, 14], [4, 4], [48, 4], [22, -4], [-20, 4], [40, 27], [-67, 14], [-22, 26], [-68, 12], [77, 3], [41, 18], [-6, -40], [3, -11], [10, -10], [-44, -8], [8, 40], [-36, 24], [-49, -20], [-40, 28], [28, 33], [-57, 3], [-14, 30], [-28, 19], [26, -8], [40, 1], [0, -25], [-52, 17], [-38, -6], [18, -9], [53, -1], [22, -2], [23, -35], [5, 2], [37, -3], [11, 29], [35, 6], [-48, 29], [7, -35], [34, -26], [41, 9], [45, 24], [23, 31], [-7, 26], [30, 14], [7, -14], [43, 26], [-60, -20], [-86, 10], [-17, -50], [42, -23], [19, -37], [34, 39], [48, 13], [7, -35], [-4, 4], [50, -25], [19, 18], [13, 27], [-45, -29], [-1, -26], [-28, -43], [-23, -19], [-37, 11], [-15, -20], [-71, 19], [-2, -8], [22, 6], [-50, 18], [-39, 17], [-38, 29], [-38, 19], [-7, -37], [-18, 9], [78, -6], [-43, -21], [-34, -5], [-42, -18], [-25, -41], [-29, -39]], 'char_orbit_index': 1, 'field_poly': [-3, 0, 1], 'hecke_orbit_code': 144115188109418242, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '7938.2.a.bg', 'level': 7938, 'maxp': 3023, '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': [20, 21, 20, 21, 24, 18, 16, 24], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [23, 24, 24, 24, 24, 24, 24, 24], 'ALdims_old': [151, 163, 162, 151, 154, 158, 162, 152], 'Nk2': 31752, 'analytic_conductor': 63.38524912449237, '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': [7938, 1, [6077, 3727], [1, 1]], 'conrey_index': 1, 'cusp_dim': 1417, 'dim': 164, 'eis_dim': 191, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 13, 17, 23], 'hecke_orbit_code': 33562370, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], 'label': '7938.2.a', 'level': 7938, '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, 7], 'level_radical': 42, 'mf_dim': 1608, 'mf_new_dim': 164, 'num_forms': 74, 'plus_dim': 75, 'prim_orbit_index': 1, 'relative_dim': 164, 'sturm_bound': 3024, 'trace_bound': 23, 'trace_display': [0, 0, 0, 0], 'traces': [164, 0, 0, 164, 0, 0, 0, 0, 0, 6, 0, 0, 10, 0, 0, 164, 0, 0, -2, 0, 0, -6, 0, 0, 158, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -2, 0, 0, 6, 0, 0, -26, 0, 0, 12, 0, 0, 0, 0, 0, 10, 0, 0, -24, 0, 0, 18, 0, 0, -2, 0, 0, 164, 0, 0, -38, 0, 0, 0, 0, 0, -44, 0, 0, -2, 0, 0, 40, 0, 0, 6, 0, 0, 18, 0, 0, -6, 0, 0, 0, 0, 0, -12, 0, 0, 22, 0, 0, 158, 0, 0, 4, 0, 0, -12, 0, 0, 70, 0, 0, 0, 0, 0, -96, 0, 0, -18, 0, 0, 134, 0, 0, -8, 0, 0, 28, 0, 0, 42, 0, 0, 0, 0, 0, 0, 0, 0, 34, 0, 0, 0, 0, 0, 42, 0, 0, -2, 0, 0, 52, 0, 0, 0, 0, 0, 22, 0, 0, 6, 0, 0, 88, 0, 0, 24, 0, 0, 270, 0, 0, -26, 0, 0, 0, 0, 0, 66, 0, 0, 40, 0, 0, 12, 0, 0, 42, 0, 0, 24, 0, 0, 64, 0, 0, 0, 0, 0, 52, 0, 0, 60, 0, 0, 12, 0, 0, 10, 0, 0, 16, 0, 0, 54, 0, 0, 0, 0, 0, -24, 0, 0, 172, 0, 0, 90, 0, 0, 178, 0, 0, 18, 0, 0, 48, 0, 0, 0, 0, 0, 64, 0, 0, -2, 0, 0, -76, 0, 0, 90, 0, 0, 84, 0, 0, 164, 0, 0, 0, 0, 0, 24, 0, 0, 36, 0, 0, -38, 0, 0, -176, 0, 0, 24, 0, 0, -56, 0, 0, 0, 0, 0, 16, 0, 0, -108, 0, 0, 200, 0, 0, -44, 0, 0, 72, 0, 0, 90, 0, 0, 0, 0, 0, -2, 0, 0, 10, 0, 0, -48, 0, 0, -32, 0, 0, 40, 0, 0, -12, 0, 0, 0, 0, 0, 4, 0, 0, 6, 0, 0, -224, 0, 0, 48, 0, 0, -62, 0, 0, 18, 0, 0, 0, 0, 0, 66, 0, 0, -68, 0, 0, -6, 0, 0, -96, 0, 0, 120, 0, 0, -90, 0, 0, 0, 0, 0, 64, 0, 0, -6, 0, 0, -80, 0, 0, -12, 0, 0, 94, 0, 0, 36, 0, 0, 0, 0, 0, 22, 0, 0, -84, 0, 0, 126, 0, 0, 22, 0, 0, 158, 0, 0, -184, 0, 0, 0, 0, 0, -104, 0, 0, 4, 0, 0, -96, 0, 0, 150, 0, 0, -290, 0, 0, -12, 0, 0, 0, 0, 0, -24, 0, 0, 16, 0, 0, 70, 0, 0, 88, 0, 0, 294, 0, 0, 90, 0, 0, 0, 0, 0, 18, 0, 0, -54, 0, 0, 184, 0, 0, -96, 0, 0, -32, 0, 0, 156, 0, 0, 0, 0, 0, -18, 0, 0, -86, 0, 0, 36, 0, 0, 2, 0, 0, 134, 0, 0, -44, 0, 0, 0, 0, 0, -114, 0, 0, -8, 0, 0, -50, 0, 0, -126, 0, 0, 180, 0, 0, 28, 0, 0, 0, 0, 0, 36, 0, 0, -36, 0, 0, 42, 0, 0, 16, 0, 0, -84, 0, 0, 428, 0, 0, 0, 0, 0, 0, 0, 0, 102, 0, 0, 118, 0, 0, 0, 0, 0, 22, 0, 0, -186, 0, 0, 0, 0, 0, 34, 0, 0, -100, 0, 0, 210, 0, 0, 114, 0, 0, 0, 0, 0, 46, 0, 0, 0, 0, 0, -116, 0, 0, 42, 0, 0, -24, 0, 0, -30, 0, 0, -184, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 52, 0, 0, 208, 0, 0, 282, 0, 0, -188, 0, 0, 0, 0, 0, -194, 0, 0, 108, 0, 0, 8, 0, 0, 22, 0, 0, -8, 0, 0, -54, 0, 0, 0, 0, 0, 6, 0, 0, 22, 0, 0, -66, 0, 0, -186, 0, 0, 88, 0, 0, -312, 0, 0, 0, 0, 0, -290, 0, 0, 24, 0, 0, -144, 0, 0, -48, 0, 0, -134, 0, 0, 270, 0, 0, 0, 0, 0, -144, 0, 0, 258, 0, 0, -26, 0, 0, -224, 0, 0, -6, 0, 0, 318, 0, 0, 0, 0, 0, -40, 0, 0, -198, 0, 0, -266, 0, 0, 66, 0, 0, -72, 0, 0, 36, 0, 0, 0, 0, 0, 40, 0, 0, -212, 0, 0, 234, 0, 0, -152, 0, 0, 12, 0, 0, -266, 0, 0, 0, 0, 0, 90, 0, 0, 42, 0, 0, -200, 0, 0, 42, 0, 0, -80, 0, 0, 24, 0, 0, 0, 0, 0, -168, 0, 0, 106, 0, 0, 64, 0, 0, 112, 0, 0, 48, 0, 0, -72, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, -166, 0, 0, 52, 0, 0, -372, 0, 0, 192, 0, 0, 0, 0, 0, 60, 0, 0, -350, 0, 0, 168, 0, 0, 362, 0, 0, 12, 0, 0, -272, 0, 0, 0, 0, 0, 136, 0, 0, 10, 0, 0, 96, 0, 0, -192, 0, 0, 86, 0, 0, 16, 0, 0, 0, 0, 0, 102, 0, 0, 64, 0, 0, 54, 0, 0, -50, 0, 0, -84, 0, 0, 42, 0, 0, 0, 0, 0, -4, 0, 0, -228, 0, 0, 166, 0, 0, -24, 0, 0, -206, 0, 0, -306, 0, 0, 0, 0, 0, 172, 0, 0, 216, 0, 0, -90, 0, 0, 252, 0, 0, 90, 0, 0, 82, 0, 0, 0, 0, 0, 24, 0, 0, 178, 0, 0, 52, 0, 0, 0, 0, 0, 592, 0, 0, 18, 0, 0, 0, 0, 0, -54, 0, 0, 34, 0, 0, 48, 0, 0, 108, 0, 0, -330, 0, 0, 158, 0, 0, 0, 0, 0, 144, 0, 0, 156, 0, 0, 180, 0, 0, 64, 0, 0, -68, 0, 0, 276, 0, 0, 0, 0, 0, -2, 0, 0, 108, 0, 0, -78, 0, 0, 354, 0, 0, -76, 0, 0, 112, 0, 0, 0, 0, 0, 46, 0, 0, 90], '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: 1370841
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 33, 'source_is_minimal': False, 'source_label': '7938.2.a.bg', 'source_level': 7938, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 12, 'target_is_minimal': True, 'target_label': '1134.2.a.l', 'target_level': 1134, 'twist_class_label': '1134.2.a.l', 'twist_class_level': 1134, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1370842
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 33, 'source_is_minimal': False, 'source_label': '7938.2.a.bg', 'source_level': 7938, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 13, 'target_is_minimal': True, 'target_label': '1134.2.a.m', 'target_level': 1134, 'twist_class_label': '1134.2.a.l', 'twist_class_level': 1134, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1370843
    {'conductor': 63, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 33, 'source_is_minimal': False, 'source_label': '7938.2.a.bg', 'source_level': 7938, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '1134.2.f.r', 'target_level': 1134, 'twist_class_label': '1134.2.a.l', 'twist_class_level': 1134, 'twisting_char_label': '63.o', 'twisting_char_orbit': 15, 'weight': 2}
  • id: 1370844
    {'conductor': 63, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 33, 'source_is_minimal': False, 'source_label': '7938.2.a.bg', 'source_level': 7938, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 19, 'target_is_minimal': False, 'target_label': '1134.2.f.s', 'target_level': 1134, 'twist_class_label': '1134.2.a.l', 'twist_class_level': 1134, 'twisting_char_label': '63.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 1370845
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 33, 'source_is_minimal': False, 'source_label': '7938.2.a.bg', 'source_level': 7938, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 33, 'target_is_minimal': False, 'target_label': '7938.2.a.bg', 'target_level': 7938, 'twist_class_label': '1134.2.a.l', 'twist_class_level': 1134, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1370846
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 33, 'source_is_minimal': False, 'source_label': '7938.2.a.bg', 'source_level': 7938, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 46, 'target_is_minimal': False, 'target_label': '7938.2.a.bt', 'target_level': 7938, 'twist_class_label': '1134.2.a.l', 'twist_class_level': 1134, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1370847
    {'conductor': 84, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 33, 'source_is_minimal': False, 'source_label': '7938.2.a.bg', 'source_level': 7938, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 25, 'target_is_minimal': False, 'target_label': '9072.2.a.y', 'target_level': 9072, 'twist_class_label': '1134.2.a.l', 'twist_class_level': 1134, 'twisting_char_label': '84.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1370848
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 33, 'source_is_minimal': False, 'source_label': '7938.2.a.bg', 'source_level': 7938, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 42, 'target_is_minimal': False, 'target_label': '9072.2.a.bp', 'target_level': 9072, 'twist_class_label': '1134.2.a.l', 'twist_class_level': 1134, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4508000
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 144115188109418242, 'p': 2}
  • id: 4508001
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 144115188109418242, 'p': 3}
  • id: 4508002
    {'charpoly_factorization': [[[1, 4, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 5}
  • id: 4508003
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 144115188109418242, 'p': 7}
  • id: 4508004
    {'charpoly_factorization': [[[-26, -2, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 11}
  • id: 4508005
    {'charpoly_factorization': [[[-3, -6, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 13}
  • id: 4508006
    {'charpoly_factorization': [[[7, 1], 2]], 'hecke_orbit_code': 144115188109418242, 'p': 17}
  • id: 4508007
    {'charpoly_factorization': [[[-2, -2, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 19}
  • id: 4508008
    {'charpoly_factorization': [[[-26, -2, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 23}
  • id: 4508009
    {'charpoly_factorization': [[[13, -10, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 29}
  • id: 4508010
    {'charpoly_factorization': [[[-18, 6, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 31}
  • id: 4508011
    {'charpoly_factorization': [[[-71, -4, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 37}
  • id: 4508012
    {'charpoly_factorization': [[[24, 12, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 41}
  • id: 4508013
    {'charpoly_factorization': [[[-8, -4, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 43}
  • id: 4508014
    {'charpoly_factorization': [[[6, 6, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 47}
  • id: 4508015
    {'charpoly_factorization': [[[24, 12, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 53}
  • id: 4508016
    {'charpoly_factorization': [[[-26, -2, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 59}
  • id: 4508017
    {'charpoly_factorization': [[[-39, -6, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 61}
  • id: 4508018
    {'charpoly_factorization': [[[22, 10, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 67}
  • id: 4508019
    {'charpoly_factorization': [[[88, -20, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 71}
  • id: 4508020
    {'charpoly_factorization': [[[97, 20, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 73}
  • id: 4508021
    {'charpoly_factorization': [[[-138, -6, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 79}
  • id: 4508022
    {'charpoly_factorization': [[[-242, 2, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 83}
  • id: 4508023
    {'charpoly_factorization': [[[-39, 6, 1], 1]], 'hecke_orbit_code': 144115188109418242, 'p': 89}
  • id: 4508024
    {'charpoly_factorization': [[[-32, 8, 1], 1]], 'hecke_orbit_code': 144115188109418242, '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': 33, 'label': '7938.2.a.bg', 'level': 7938, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 69155845
    {'hecke_orbit_code': 144115188109418242, 'n': 1, 'trace_an': 2}
  • id: 69155846
    {'hecke_orbit_code': 144115188109418242, 'n': 2, 'trace_an': -2}
  • id: 69155847
    {'hecke_orbit_code': 144115188109418242, 'n': 3, 'trace_an': 0}
  • id: 69155848
    {'hecke_orbit_code': 144115188109418242, 'n': 4, 'trace_an': 2}
  • id: 69155849
    {'hecke_orbit_code': 144115188109418242, 'n': 5, 'trace_an': -4}
  • id: 69155850
    {'hecke_orbit_code': 144115188109418242, 'n': 6, 'trace_an': 0}
  • id: 69155851
    {'hecke_orbit_code': 144115188109418242, 'n': 7, 'trace_an': 0}
  • id: 69155852
    {'hecke_orbit_code': 144115188109418242, 'n': 8, 'trace_an': -2}
  • id: 69155853
    {'hecke_orbit_code': 144115188109418242, 'n': 9, 'trace_an': 0}
  • id: 69155854
    {'hecke_orbit_code': 144115188109418242, 'n': 10, 'trace_an': 4}
  • id: 69155855
    {'hecke_orbit_code': 144115188109418242, 'n': 11, 'trace_an': 2}
  • id: 69155856
    {'hecke_orbit_code': 144115188109418242, 'n': 12, 'trace_an': 0}
  • id: 69155857
    {'hecke_orbit_code': 144115188109418242, 'n': 13, 'trace_an': 6}
  • id: 69155858
    {'hecke_orbit_code': 144115188109418242, 'n': 14, 'trace_an': 0}
  • id: 69155859
    {'hecke_orbit_code': 144115188109418242, 'n': 15, 'trace_an': 0}
  • id: 69155860
    {'hecke_orbit_code': 144115188109418242, 'n': 16, 'trace_an': 2}
  • id: 69155861
    {'hecke_orbit_code': 144115188109418242, 'n': 17, 'trace_an': -14}
  • id: 69155862
    {'hecke_orbit_code': 144115188109418242, 'n': 18, 'trace_an': 0}
  • id: 69155863
    {'hecke_orbit_code': 144115188109418242, 'n': 19, 'trace_an': 2}
  • id: 69155864
    {'hecke_orbit_code': 144115188109418242, 'n': 20, 'trace_an': -4}
  • id: 69155865
    {'hecke_orbit_code': 144115188109418242, 'n': 21, 'trace_an': 0}
  • id: 69155866
    {'hecke_orbit_code': 144115188109418242, 'n': 22, 'trace_an': -2}
  • id: 69155867
    {'hecke_orbit_code': 144115188109418242, 'n': 23, 'trace_an': 2}
  • id: 69155868
    {'hecke_orbit_code': 144115188109418242, 'n': 24, 'trace_an': 0}
  • id: 69155869
    {'hecke_orbit_code': 144115188109418242, 'n': 25, 'trace_an': 4}
  • id: 69155870
    {'hecke_orbit_code': 144115188109418242, 'n': 26, 'trace_an': -6}
  • id: 69155871
    {'hecke_orbit_code': 144115188109418242, 'n': 27, 'trace_an': 0}
  • id: 69155872
    {'hecke_orbit_code': 144115188109418242, 'n': 28, 'trace_an': 0}
  • id: 69155873
    {'hecke_orbit_code': 144115188109418242, 'n': 29, 'trace_an': 10}
  • id: 69155874
    {'hecke_orbit_code': 144115188109418242, 'n': 30, 'trace_an': 0}
  • id: 69155875
    {'hecke_orbit_code': 144115188109418242, 'n': 31, 'trace_an': -6}
  • id: 69155876
    {'hecke_orbit_code': 144115188109418242, 'n': 32, 'trace_an': -2}
  • id: 69155877
    {'hecke_orbit_code': 144115188109418242, 'n': 33, 'trace_an': 0}
  • id: 69155878
    {'hecke_orbit_code': 144115188109418242, 'n': 34, 'trace_an': 14}
  • id: 69155879
    {'hecke_orbit_code': 144115188109418242, 'n': 35, 'trace_an': 0}
  • id: 69155880
    {'hecke_orbit_code': 144115188109418242, 'n': 36, 'trace_an': 0}
  • id: 69155881
    {'hecke_orbit_code': 144115188109418242, 'n': 37, 'trace_an': 4}
  • id: 69155882
    {'hecke_orbit_code': 144115188109418242, 'n': 38, 'trace_an': -2}
  • id: 69155883
    {'hecke_orbit_code': 144115188109418242, 'n': 39, 'trace_an': 0}
  • id: 69155884
    {'hecke_orbit_code': 144115188109418242, 'n': 40, 'trace_an': 4}
  • id: 69155885
    {'hecke_orbit_code': 144115188109418242, 'n': 41, 'trace_an': -12}
  • id: 69155886
    {'hecke_orbit_code': 144115188109418242, 'n': 42, 'trace_an': 0}
  • id: 69155887
    {'hecke_orbit_code': 144115188109418242, 'n': 43, 'trace_an': 4}
  • id: 69155888
    {'hecke_orbit_code': 144115188109418242, 'n': 44, 'trace_an': 2}
  • id: 69155889
    {'hecke_orbit_code': 144115188109418242, 'n': 45, 'trace_an': 0}
  • id: 69155890
    {'hecke_orbit_code': 144115188109418242, 'n': 46, 'trace_an': -2}
  • id: 69155891
    {'hecke_orbit_code': 144115188109418242, 'n': 47, 'trace_an': -6}
  • id: 69155892
    {'hecke_orbit_code': 144115188109418242, 'n': 48, 'trace_an': 0}
  • id: 69155893
    {'hecke_orbit_code': 144115188109418242, 'n': 49, 'trace_an': 0}
  • id: 69155894
    {'hecke_orbit_code': 144115188109418242, 'n': 50, 'trace_an': -4}
  • id: 69155895
    {'hecke_orbit_code': 144115188109418242, 'n': 51, 'trace_an': 0}
  • id: 69155896
    {'hecke_orbit_code': 144115188109418242, 'n': 52, 'trace_an': 6}
  • id: 69155897
    {'hecke_orbit_code': 144115188109418242, 'n': 53, 'trace_an': -12}
  • id: 69155898
    {'hecke_orbit_code': 144115188109418242, 'n': 54, 'trace_an': 0}
  • id: 69155899
    {'hecke_orbit_code': 144115188109418242, 'n': 55, 'trace_an': 14}
  • id: 69155900
    {'hecke_orbit_code': 144115188109418242, 'n': 56, 'trace_an': 0}
  • id: 69155901
    {'hecke_orbit_code': 144115188109418242, 'n': 57, 'trace_an': 0}
  • id: 69155902
    {'hecke_orbit_code': 144115188109418242, 'n': 58, 'trace_an': -10}
  • id: 69155903
    {'hecke_orbit_code': 144115188109418242, 'n': 59, 'trace_an': 2}
  • id: 69155904
    {'hecke_orbit_code': 144115188109418242, 'n': 60, 'trace_an': 0}
  • id: 69155905
    {'hecke_orbit_code': 144115188109418242, 'n': 61, 'trace_an': 6}
  • id: 69155906
    {'hecke_orbit_code': 144115188109418242, 'n': 62, 'trace_an': 6}
  • id: 69155907
    {'hecke_orbit_code': 144115188109418242, 'n': 63, 'trace_an': 0}
  • id: 69155908
    {'hecke_orbit_code': 144115188109418242, 'n': 64, 'trace_an': 2}
  • id: 69155909
    {'hecke_orbit_code': 144115188109418242, 'n': 65, 'trace_an': 0}
  • id: 69155910
    {'hecke_orbit_code': 144115188109418242, 'n': 66, 'trace_an': 0}
  • id: 69155911
    {'hecke_orbit_code': 144115188109418242, 'n': 67, 'trace_an': -10}
  • id: 69155912
    {'hecke_orbit_code': 144115188109418242, 'n': 68, 'trace_an': -14}
  • id: 69155913
    {'hecke_orbit_code': 144115188109418242, 'n': 69, 'trace_an': 0}
  • id: 69155914
    {'hecke_orbit_code': 144115188109418242, 'n': 70, 'trace_an': 0}
  • id: 69155915
    {'hecke_orbit_code': 144115188109418242, 'n': 71, 'trace_an': 20}
  • id: 69155916
    {'hecke_orbit_code': 144115188109418242, 'n': 72, 'trace_an': 0}
  • id: 69155917
    {'hecke_orbit_code': 144115188109418242, 'n': 73, 'trace_an': -20}
  • id: 69155918
    {'hecke_orbit_code': 144115188109418242, 'n': 74, 'trace_an': -4}
  • id: 69155919
    {'hecke_orbit_code': 144115188109418242, 'n': 75, 'trace_an': 0}
  • id: 69155920
    {'hecke_orbit_code': 144115188109418242, 'n': 76, 'trace_an': 2}
  • id: 69155921
    {'hecke_orbit_code': 144115188109418242, 'n': 77, 'trace_an': 0}
  • id: 69155922
    {'hecke_orbit_code': 144115188109418242, 'n': 78, 'trace_an': 0}
  • id: 69155923
    {'hecke_orbit_code': 144115188109418242, 'n': 79, 'trace_an': 6}
  • id: 69155924
    {'hecke_orbit_code': 144115188109418242, 'n': 80, 'trace_an': -4}
  • id: 69155925
    {'hecke_orbit_code': 144115188109418242, 'n': 81, 'trace_an': 0}
  • id: 69155926
    {'hecke_orbit_code': 144115188109418242, 'n': 82, 'trace_an': 12}
  • id: 69155927
    {'hecke_orbit_code': 144115188109418242, 'n': 83, 'trace_an': -2}
  • id: 69155928
    {'hecke_orbit_code': 144115188109418242, 'n': 84, 'trace_an': 0}
  • id: 69155929
    {'hecke_orbit_code': 144115188109418242, 'n': 85, 'trace_an': 28}
  • id: 69155930
    {'hecke_orbit_code': 144115188109418242, 'n': 86, 'trace_an': -4}
  • id: 69155931
    {'hecke_orbit_code': 144115188109418242, 'n': 87, 'trace_an': 0}
  • id: 69155932
    {'hecke_orbit_code': 144115188109418242, 'n': 88, 'trace_an': -2}
  • id: 69155933
    {'hecke_orbit_code': 144115188109418242, 'n': 89, 'trace_an': -6}
  • id: 69155934
    {'hecke_orbit_code': 144115188109418242, 'n': 90, 'trace_an': 0}
  • id: 69155935
    {'hecke_orbit_code': 144115188109418242, 'n': 91, 'trace_an': 0}
  • id: 69155936
    {'hecke_orbit_code': 144115188109418242, 'n': 92, 'trace_an': 2}
  • id: 69155937
    {'hecke_orbit_code': 144115188109418242, 'n': 93, 'trace_an': 0}
  • id: 69155938
    {'hecke_orbit_code': 144115188109418242, 'n': 94, 'trace_an': 6}
  • id: 69155939
    {'hecke_orbit_code': 144115188109418242, 'n': 95, 'trace_an': -10}
  • id: 69155940
    {'hecke_orbit_code': 144115188109418242, 'n': 96, 'trace_an': 0}
  • id: 69155941
    {'hecke_orbit_code': 144115188109418242, 'n': 97, 'trace_an': -8}
  • id: 69155942
    {'hecke_orbit_code': 144115188109418242, 'n': 98, 'trace_an': 0}
  • id: 69155943
    {'hecke_orbit_code': 144115188109418242, 'n': 99, 'trace_an': 0}
  • id: 69155944
    {'hecke_orbit_code': 144115188109418242, 'n': 100, 'trace_an': 4}