Newform data - 168.2.j.b

Formats: - HTML - YAML - JSON - 2026-10-09T17:35:53.920496

• 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': 672, 'analytic_conductor': 1.3414867539575104, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 24, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 10, 'char_orbit_label': 'j', 'char_order': 2, 'char_parity': 1, 'char_values': [168, 2, [127, 85, 113, 73], [1, 1, 1, 2]], 'cm_discs': [], 'conrey_index': 155, 'dim': 4, 'field_disc': 256, 'field_disc_factorization': [[2, 8]], 'field_poly': [1, 0, 0, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 8, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [-8, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4504218136215720, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 8, 4, -1, 2, 0], [1, 1, 24, 6, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '168.2.j.b', 'level': 168, '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': '168.2.j.b', 'nf_label': '4.0.256.1', 'prim_orbit_index': 6, 'qexp_display': 'q-\\beta_{3} q^{2}+(-\\beta_{2}+1)q^{3}+2 q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '168.2.j', 'trace_display': [0, 4, 0, 0], 'trace_hash': 474096152041689470, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.008', 'prec': 4}, {'__RealLiteral__': 0, 'data': '3.751', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '120.487', 'prec': 20}, 0, {'__RealLiteral__': 0, 'data': '4794.124', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.758', 'prec': 10}, 'traces': [4, 0, 4, 8, 0, 0, 0, 0, -4, -16, 0, 8, 0, 0, 0, 16, 0, 0, -8, 0, 0, 0, 0, 0, 12, 0, -20, 0, 0, -16, 0, 0, 32, 0, 0, -8, 0, 0, 0, -32, 0, -8, -40, 0, 0, -16, 0, 16, -4, 0, -16, 0, 0, 0, 0, 0, -8, 32, 0, 0, 0, 0, 0, 32, 0, 0, 24, 0, 0, 0, 0, 0, 40, 0, 12, -16, 0, 32, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 16, 16, 0, 0, 0, 0, 0, -8, 0, 64, 24, 0, 0, 0, 0, 16, -32, 0, -40, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, -32, -84, 0, -16, 0, 0, -16, 0, 0, -40, 0, 0, 64, 0, 0, 0, 0, 0, -16, 56, 0, 0, 48, 0, -16, -64, 0, -4, 0, 0, 0, 0, 0, -32, 32, 0, 0, 0, 0, 0, -64, 0, 0, -56, 0, 0, 0, 0, -16, -12, 0, 8, -80, 0, 32, 0, 0, 48, 0, 0, 0, 0, 0, 0, -32, 0, 0, 64, 0, 0, 32, 0, 32, 72, 0, -64, -8, 0, 0, 0, 0, 24, 16, 0, -32, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, -64, 0, 0, -12, 0, 0, -16, 0, 0, 0, 64, 0, 64, 0, 0, 0, -16, 0, 0, 8, 0, 4, 0, 0, 0, 0, 0, -16, 32, 0, 0, 0, 0, 0, 64, 0, 0, -32, 0, 0, 0, 0, 0, 64, 0, 16, 48, 0, 80, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, -128, 0, 0, 36, 0, -8, 80, 0, 0, 0, 0, 32, -32, 0, 24, 0, 0, 0, -32, 0, 0, 72, 0, 0, 0, 0, 64, 24, 0, 32, 0, 0, -32, 0, 0, -64, 0, 0, -56, 0, 0, 0, 0, 0, -128, -24, 0, 0, 32, 0, 0, -8, 0, -32, 0, 0, 0, 0, 0, 32, -144, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 32, -60, 0, -84, 32, 0, -96, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, -8, 24, 0, 0, -48, 0, 0, -64, 0, 40, -16, 0, 0, 0, 0, 80, 0, 0, 128, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, -32, 0, 0, 16, 0, 0, 56, 0, 0, 32, 0, 0, 0, -64, 0, 48, -48, 0, 0, 160, 0, -80, 120, 0, -64, 0, 0, 0, 0, 0, 4, 64, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 40, 0, -16, 64, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, -24, 0, 0, -112, 0, -64, 128, 0, 16, -168, 0, 0, 0, 0, -56, 16, 0, -32, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, -32, -32, 0, -12, 0, 0, 64, 0, 0, 40, 0, 0, -80, 0, 0, 0, 0, 0, -32, -88, 0, 0, 112, 0, 128, -60, 0, 96, 0, 0, 0, 0, 0, -64, -16, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, -32, 32, 0, 128, 112, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 96, 0, 32, -24, 0, 0, -16, 0, -32, -136, 0, 72, -128, 0, 0, 0, 0, -128, 112, 0, -8, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 104, 0, -24, 0, 0, 16, 0, 0, -32, 0, 0, -64, 0, 0, 0, 64, 0, 64, 88, 0, 0, -64, 0, 0, -124, 0, -64, 0, 0, 0, 0, 0, -40, 96, 0, 0, 0, 0, 0, -128, 0, 0, 88, 0, 0, 0, 0, 0, -192, 0, 0, -112, 0, -64, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, -128, -64, 0, 0, -96, 0, -32, -136, 0, -60, -24, 0, 0, 0, 0, -16, 0, 0, 16, 0, 0, 0, -160, 0, 0, 24, 0, 0, 0, 0, 64, -32, 0, 32, 0, 0, 32, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -16, 256, 0, 0, 16, 0, 0, 32, 0, 8, 0, 0, 0, 0, 0, 92, -160, 0, 0, 0, 0, 0, -64, 0, 0, 184, 0, 0, 0, 0, 0, 64, 0, -32, 128, 0, 32, 0, 0, 48, 0, 0, 0, 0, 0, 0, 64, 0, 0, -32, 0, 0, 160, 0, 64, -184, 0, -16, 144, 0, 0, 0, 0, -32, 32, 0, -128, 0, 0, 0, -16, 0, 0, -168, 0, 0, 0, 0, 0, 192, 0, 64, 0, 0, 16, 0, 0, 32, 0, 0, 48, 0, 0, 0, 32, 0, 112, -152, 0, 0, 256, 0, -64, 80, 0, -16, 0, 0, 0, 0, 0, 96, 48, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 12, 0, -32, -80, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, -128, 40, 0, 0, -176, 0, 0, 288, 0, 36, 0, 0, 0, 0, 0, 8, 32, 0, 80, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, -128, 0, 0, -128, 0, 0, -32, 0, 0, -64, 0, 0, -24, 0, 0, 0, 0, 0, 128, -136, 0, 0, -64, 0, -32, 64, 0, 192, 0, 0, 0, 0, 0, 72, -208, 0, 0, 0, 0, 0, 128, 0, 0, 8, 0, 0, 0, 0, 128, 24, 0, 24, 0, 0, 96, 0, 0, 16, 0, 0, 0, 0, 0, 0, -32, 0, 32, 96, 0, 0, -64, 0, 0, 124, 0, -128, 16, 0, 0, 0, 0, 32, 32, 0, 8, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, -24, 0, 0, -32, 0, 0, 0, 64], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

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

  
  {'an': [[1, 0, 0, 0], [0, 0, 0, -1], [1, 0, -1, 0], [2, 0, 0, 0], [0, 0, 0, 2], [0, 2, 0, -1], [0, 1, 0, 0], [0, 0, 0, -2], [-1, 0, -2, 0], [-4, 0, 0, 0], [0, 0, 4, 0], [2, 0, -2, 0], [0, -4, 0, 0], [0, 0, -1, 0], [0, -4, 0, 2], [4, 0, 0, 0], [0, 0, -2, 0], [0, 4, 0, 1], [-2, 0, 0, 0], [0, 0, 0, 4], [0, 1, 0, 1], [0, -8, 0, 0], [0, 0, 0, 2], [0, 4, 0, -2], [3, 0, 0, 0], [0, 0, 4, 0], [-5, 0, -1, 0], [0, 2, 0, 0], [0, 0, 0, -4], [-4, 0, 4, 0], [0, 0, 0, 0], [0, 0, 0, -4], [8, 0, 4, 0], [0, 4, 0, 0], [0, 0, 2, 0], [-2, 0, -4, 0], [0, 8, 0, 0], [0, 0, 0, 2], [0, -4, 0, -4], [-8, 0, 0, 0], [0, 0, -2, 0], [-2, 0, -1, 0], [-10, 0, 0, 0], [0, 0, 8, 0], [0, -8, 0, -2], [-4, 0, 0, 0], [0, 0, 0, 0], [4, 0, -4, 0], [-1, 0, 0, 0], [0, 0, 0, -3], [-4, 0, -2, 0], [0, -8, 0, 0], [0, 0, 0, 4], [0, 2, 0, 5], [0, 16, 0, 0], [0, 0, -2, 0], [-2, 0, 2, 0], [8, 0, 0, 0], [0, 0, 6, 0], [0, -8, 0, 4], [0, 12, 0, 0], [0, 0, 0, 0], [0, -1, 0, 2], [8, 0, 0, 0], [0, 0, -8, 0], [0, -8, 0, -8], [6, 0, 0, 0], [0, 0, -4, 0], [0, -4, 0, 2], [0, -4, 0, 0], [0, 0, 0, -6], [0, 8, 0, 2], [10, 0, 0, 0], [0, 0, -8, 0], [3, 0, -3, 0], [-4, 0, 0, 0], [0, 0, 0, -4], [8, 0, 4, 0], [0, -8, 0, 0], [0, 0, 0, 8], [-7, 0, 4, 0], [0, 4, 0, 0], [0, 0, -2, 0], [0, 2, 0, 2], [0, -8, 0, 0], [0, 0, 0, 10], [0, 8, 0, -4], [0, -16, 0, 0], [0, 0, 2, 0], [4, 0, 8, 0], [4, 0, 0, 0], [0, 0, 0, 4], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, -4], [0, 8, 0, -4], [-2, 0, 0, 0], [0, 0, 0, 1], [16, 0, -4, 0], [6, 0, 0, 0]], 'ap': [[0, 0, 0, -1], [1, 0, -1, 0], [0, 0, 0, 2], [0, 1, 0, 0], [0, 0, 4, 0], [0, -4, 0, 0], [0, 0, -2, 0], [-2, 0, 0, 0], [0, 0, 0, 2], [0, 0, 0, -4], [0, 0, 0, 0], [0, 8, 0, 0], [0, 0, -2, 0], [-10, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 4], [0, 0, 6, 0], [0, 12, 0, 0], [6, 0, 0, 0], [0, 0, 0, -6], [10, 0, 0, 0], [0, -8, 0, 0], [0, 0, -2, 0], [0, 0, 2, 0], [-2, 0, 0, 0], [0, 0, 0, -2], [0, -8, 0, 0], [0, 0, -8, 0], [0, 8, 0, 0], [0, 0, -4, 0], [0, 0, 0, 0], [0, 0, 10, 0], [0, 0, -4, 0], [14, 0, 0, 0], [0, 0, 0, 4], [0, -16, 0, 0], [0, -12, 0, 0], [-14, 0, 0, 0], [0, 0, 0, -4], [0, 0, 0, 18], [0, 0, -8, 0], [0, -20, 0, 0], [0, 0, 0, 6], [18, 0, 0, 0], [0, 0, 0, 0], [0, 16, 0, 0], [-10, 0, 0, 0], [0, -16, 0, 0], [0, 0, -2, 0], [0, -20, 0, 0], [0, 0, 4, 0], [0, 0, 0, 14], [2, 0, 0, 0], [0, 0, 6, 0], [0, 0, -2, 0], [0, 0, 0, -14], [0, 0, 0, 2], [0, -8, 0, 0], [0, 32, 0, 0], [0, 0, -4, 0], [-18, 0, 0, 0], [0, 0, 0, -14], [18, 0, 0, 0], [0, 0, 0, 8], [6, 0, 0, 0], [0, 0, 0, -12], [-6, 0, 0, 0], [-2, 0, 0, 0], [0, 0, 12, 0], [0, 28, 0, 0], [0, 0, -26, 0], [0, 0, 0, -2], [0, 16, 0, 0], [0, -16, 0, 0], [6, 0, 0, 0], [0, 0, 0, -20], [0, 0, 0, -4], [0, 28, 0, 0], [0, 0, 8, 0], [-6, 0, 0, 0], [0, 0, -14, 0], [0, -32, 0, 0], [0, 0, 0, 22], [30, 0, 0, 0], [0, 8, 0, 0], [0, 0, 0, 0], [0, 0, 24, 0], [10, 0, 0, 0], [0, 0, 0, 26], [0, -8, 0, 0], [0, 0, -26, 0], [0, 0, 0, 8], [0, 16, 0, 0], [0, 0, -16, 0], [22, 0, 0, 0], [0, 0, 0, 12], [0, 0, 0, 22], [0, 0, 10, 0], [-22, 0, 0, 0], [0, 32, 0, 0], [2, 0, 0, 0], [0, 0, 0, -4], [0, 0, -6, 0], [0, 0, 16, 0], [-6, 0, 0, 0], [-34, 0, 0, 0], [0, 0, 26, 0], [0, 0, 22, 0], [0, 0, 0, 18], [26, 0, 0, 0], [0, 16, 0, 0], [0, -40, 0, 0], [0, 0, 8, 0], [22, 0, 0, 0], [0, -24, 0, 0], [0, 0, 16, 0], [22, 0, 0, 0], [0, 0, 0, -28], [0, 0, 0, -8], [0, 0, 20, 0], [0, 12, 0, 0], [-34, 0, 0, 0], [0, 0, 0, 18], [0, 0, -16, 0], [6, 0, 0, 0], [0, 0, 0, 0], [0, 8, 0, 0], [0, 0, 0, -28], [0, -8, 0, 0], [0, 20, 0, 0], [46, 0, 0, 0], [0, 0, 0, 10], [0, -32, 0, 0], [0, 24, 0, 0], [0, 0, -22, 0], [-46, 0, 0, 0], [0, 0, 0, 10], [-42, 0, 0, 0], [0, 0, 0, -26], [0, 0, -4, 0], [-38, 0, 0, 0], [0, 0, 0, -20], [0, 24, 0, 0], [0, 0, -24, 0], [0, 28, 0, 0], [0, 0, 0, 4], [0, -4, 0, 0], [0, 0, 34, 0], [10, 0, 0, 0], [0, 0, 0, 2], [0, -8, 0, 0], [0, 0, -30, 0], [-54, 0, 0, 0], [0, 0, 0, 20], [-34, 0, 0, 0], [0, 0, 0, -22], [0, -40, 0, 0], [0, 0, -18, 0], [6, 0, 0, 0], [0, 0, 0, 18], [0, 0, 20, 0], [0, 0, -24, 0], [0, -16, 0, 0], [0, 0, 2, 0], [0, 0, 36, 0], [0, 0, 0, 8], [0, 40, 0, 0], [0, -28, 0, 0]], 'char_orbit_index': 10, 'field_poly': [1, 0, 0, 0, 1], 'hecke_orbit_code': 4504218136215720, 'hecke_ring_character_values': [[127, [-1, 0, 0, 0]], [85, [-1, 0, 0, 0]], [113, [-1, 0, 0, 0]], [73, [1, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_denominators': [1, 2, 1, 2], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 0, 1, -1]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 1], [0, 1, 0, -1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '168.2.j.b', 'level': 168, 'maxp': 997, '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

  
  {'Nk2': 672, 'analytic_conductor': 1.3414867539575104, 'char_conductor': 24, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 10, 'char_orbit_label': 'j', 'char_order': 2, 'char_parity': 1, 'char_values': [168, 2, [127, 85, 113, 73], [1, 1, 1, 2]], 'conrey_index': 155, 'cusp_dim': 28, 'dim': 24, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 618508845224, 'hecke_orbit_dims': [4, 4, 4, 12], 'label': '168.2.j', 'level': 168, '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': 36, 'mf_new_dim': 24, 'num_forms': 4, 'prim_orbit_index': 6, 'relative_dim': 24, 'sturm_bound': 64, 'trace_bound': 2, 'trace_display': [0, 0, 0, 0], 'traces': [24, 0, 0, 4, 0, -6, 0, 0, 0, -12, 0, -6, 0, 0, 0, -12, 0, 8, -16, 0, 0, 0, 0, 30, 24, 0, -24, -8, 0, -12, 0, 0, -8, -24, 0, 12, 0, 0, 0, -20, 0, -10, 32, 0, 0, -24, 0, 6, -24, 0, 0, 44, 0, -10, 0, 0, -8, -24, 0, 20, 0, 0, 0, 52, 0, 40, -32, 0, 0, -12, 0, 0, 0, 0, -56, -28, 0, 44, 0, 0, 8, 24, 0, 14, 0, 0, 0, 0, 0, -32, 0, 0, 0, 48, 0, 2, 0, 0, 64, -20, 0, 60, 0, 0, 0, 48, 0, -62, 0, 0, 0, 16, 0, 32, 16, 0, 0, -60, 0, -76, -24, 0, -16, 0, 0, 20, 0, 0, -40, 80, 0, 64, 0, 0, 0, -56, 0, 0, 80, 0, 0, 48, 0, -60, -32, 0, 0, -24, 0, -94, 0, 0, -32, 32, 0, -52, 0, 0, 0, 36, 0, -72, 32, 0, 0, 92, 0, -22, -56, 0, 56, -136, 0, 48, 0, 0, 88, -152, 0, -36, 0, 0, 0, -88, 0, -80, 64, 0, 0, -136, 0, 98, 32, 0, 40, -4, 0, -80, 0, 0, 56, 100, 0, 36, 0, 0, 0, -12, 0, -32, -128, 0, 0, 24, 0, -54, 0, 0, 64, 160, 0, -48, 0, 0, -64, -16, 0, 48, 0, 0, 0, 72, 0, 164, -96, 0, 0, -16, 0, 100, -64, 0, 120, -28, 0, 36, 0, 0, 24, -48, 0, 36, 0, 0, 0, 100, 0, -32, 32, 0, 0, 116, 0, 80, -32, 0, -48, 160, 0, 92, 0, 0, 16, 0, 0, -168, 0, 0, 0, 60, 0, 56, -64, 0, 0, -48, 0, -88, 88, 0, -112, 104, 0, 6, 0, 0, -8, 64, 0, 74, 0, 0, 0, -260, 0, 88, 64, 0, 0, 160, 0, -100, 80, 0, 40, -112, 0, -232, 0, 0, 8, 40, 0, -164, 0, 0, 0, 104, 0, -128, -160, 0, 0, 48, 0, -46, -64, 0, -120, -88, 0, 100, 0, 0, -32, -196, 0, -32, 0, 0, 0, 0, 0, -48, -224, 0, 0, -120, 0, 232, 72, 0, -48, -36, 0, -84, 0, 0, 96, 16, 0, 160, 0, 0, 0, -32, 0, -46, 32, 0, 0, -208, 0, -26, 16, 0, -160, 200, 0, -44, 0, 0, 104, -112, 0, 128, 0, 0, 0, 108, 0, 176, 160, 0, 0, -72, 0, 100, 16, 0, -128, -48, 0, 128, 0, 0, -56, -80, 0, 64, 0, 0, 0, 64, 0, -92, -48, 0, 0, 272, 0, 14, 32, 0, 48, 168, 0, 116, 0, 0, 0, 232, 0, -240, 0, 0, 0, 56, 0, 80, 224, 0, 0, -164, 0, -120, -32, 0, 176, -32, 0, 72, 0, 0, 0, 112, 0, 88, 0, 0, 0, -100, 0, 80, 32, 0, 0, 24, 0, -188, 32, 0, -56, -212, 0, -210, 0, 0, -88, 12, 0, -4, 0, 0, 0, 0, 0, -184, 128, 0, 0, -76, 0, -68, 16, 0, 104, -152, 0, 120, 0, 0, -136, -248, 0, -72, 0, 0, 0, -128, 0, -160, 176, 0, 0, -48, 0, 288, 56, 0, -24, -100, 0, -84, 0, 0, -152, 12, 0, 228, 0, 0, 0, -184, 0, -80, 96, 0, 0, -160, 0, -104, 0, 0, 176, 204, 0, 0, 0, 0, 144, -96, 0, 152, 0, 0, 0, 240, 0, 300, -96, 0, 0, -80, 0, 44, 112, 0, 232, -336, 0, 260, 0, 0, -16, -100, 0, 6, 0, 0, 0, 120, 0, -40, 64, 0, 0, 304, 0, 14, 64, 0, -112, 72, 0, 140, 0, 0, -48, 320, 0, -208, 0, 0, 0, 64, 0, 208, -32, 0, 0, 0, 0, -148, -248, 0, -224, 4, 0, 88, 0, 0, 56, 304, 0, 88, 0, 0, 0, -420, 0, 24, -240, 0, 0, 56, 0, -40, -112, 0, 80, -88, 0, -320, 0, 0, -144, 96, 0, -160, 0, 0, 0, 52, 0, -184, -192, 0, 0, 96, 0, -82, 112, 0, -64, -60, 0, 108, 0, 0, 56, -320, 0, -128, 0, 0, 0, -184, 0, -200, -256, 0, 0, -112, 0, 288, -160, 0, -16, -80, 0, -148, 0, 0, -96, 232, 0, 168, 0, 0, 0, -24, 0, -76, 256, 0, 0, -72, 0, -124, -16, 0, -112, 292, 0, -146, 0, 0, -96, -184, 0, 236, 0, 0, 0, 216, 0, 312, 384, 0, 0, -32, 0, 160, -32, 0, -328, 128, 0, 152, 0, 0, 40, -16, 0, 78, 0, 0, 0, 248, 0, -84, -128, 0, 0, 368, 0, 54, -128, 0, 128, -40, 0, 104, 0, 0, 0, 136, 0, -412, 0, 0, 0, 12, 0, 152, 16, 0, 0, -64, 0, -160, 112, 0, 224, 272, 0, 60, 0, 0, 96, -32, 0, 24, 0, 0, 0, -404, 0, 76, -96, 0, 0, 416, 0, -132, -48, 0, -88, -264, 0, -248, 0, 0, 136, 108, 0, -184, 0, 0, 0, 396, 0, -96, 128, 0, 0, 84, 0, -80, -56, 0, 16, -112, 0, 64, 0, 0, 40, -200, 0, -116, 0, 0, 0, -120, 0, -128, 544, 0, 0, -264, 0, 342, -144, 0, 96, 0, 0, -168, 0, 0, 80, -64, 0, 164, 0, 0, 0, 0, 0, -8, -288, 0, 0, -360, 0, -192, 0, 0, 192, 416, 0, -136, 0, 0, -32, -192, 0, 140, 0, 0, 0, 0, 0, 332, -320, 0, 0, -120, 0, 200, 144, 0, 536, 12, 0, 92, 0, 0, 24, -220, 0, 80, 0, 0, 0, 152, 0, -160, 16, 0, 0, 268, 0, 196, 224, 0, -240, 336, 0, 212, 0, 0, 80, 160, 0, -368, 0, 0, 0, 112, 0, 160, -256, 0, 0, -416, 0, -268, 104, 0, -144, 216, 0, 88, 0, 0, -32, 104, 0, 150, 0, 0, 0, -260, 0, -16, -64, 0, 0, -24, 0, -132, 64, 0, 128, -280, 0, -416, 0, 0, 296, 24, 0, -160, 0, 0, 0, -64], '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: 139690
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 10, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.j.b', 'source_level': 168, 'target_char_orbit': 10, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '168.2.j.b', 'target_level': 168, 'twist_class_label': '168.2.j.b', 'twist_class_level': 168, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 139691
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 10, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.j.b', 'source_level': 168, 'target_char_orbit': 10, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '168.2.j.b', 'target_level': 168, 'twist_class_label': '168.2.j.b', 'twist_class_level': 168, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 139692
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 10, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.j.b', 'source_level': 168, 'target_char_orbit': 10, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '168.2.j.b', 'target_level': 168, 'twist_class_label': '168.2.j.b', 'twist_class_level': 168, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 139693
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 10, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.j.b', 'source_level': 168, 'target_char_orbit': 10, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '168.2.j.b', 'target_level': 168, 'twist_class_label': '168.2.j.b', 'twist_class_level': 168, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 139694
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 10, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.j.b', 'source_level': 168, 'target_char_orbit': 10, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '672.2.j.a', 'target_level': 672, 'twist_class_label': '168.2.j.b', 'twist_class_level': 168, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 139695
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 10, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.j.b', 'source_level': 168, 'target_char_orbit': 10, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '672.2.j.a', 'target_level': 672, 'twist_class_label': '168.2.j.b', 'twist_class_level': 168, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 139696
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 10, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.j.b', 'source_level': 168, 'target_char_orbit': 10, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '672.2.j.a', 'target_level': 672, 'twist_class_label': '168.2.j.b', 'twist_class_level': 168, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 139697
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 10, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.j.b', 'source_level': 168, 'target_char_orbit': 10, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '672.2.j.a', 'target_level': 672, 'twist_class_label': '168.2.j.b', 'twist_class_level': 168, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 432925
    {'charpoly_factorization': [[[-2, 0, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 2}
  • id: 432926
    {'charpoly_factorization': [[[3, -2, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 3}
  • id: 432927
    {'charpoly_factorization': [[[-8, 0, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 5}
  • id: 432928
    {'charpoly_factorization': [[[1, 0, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 7}
  • id: 432929
    {'charpoly_factorization': [[[32, 0, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 11}
  • id: 432930
    {'charpoly_factorization': [[[16, 0, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 13}
  • id: 432931
    {'charpoly_factorization': [[[8, 0, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 17}
  • id: 432932
    {'charpoly_factorization': [[[2, 1], 4]], 'hecke_orbit_code': 4504218136215720, 'p': 19}
  • id: 432933
    {'charpoly_factorization': [[[-8, 0, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 23}
  • id: 432934
    {'charpoly_factorization': [[[-32, 0, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 29}
  • id: 432935
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504218136215720, 'p': 31}
  • id: 432936
    {'charpoly_factorization': [[[64, 0, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 37}
  • id: 432937
    {'charpoly_factorization': [[[8, 0, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 41}
  • id: 432938
    {'charpoly_factorization': [[[10, 1], 4]], 'hecke_orbit_code': 4504218136215720, 'p': 43}
  • id: 432939
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504218136215720, 'p': 47}
  • id: 432940
    {'charpoly_factorization': [[[-32, 0, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 53}
  • id: 432941
    {'charpoly_factorization': [[[72, 0, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 59}
  • id: 432942
    {'charpoly_factorization': [[[144, 0, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 61}
  • id: 432943
    {'charpoly_factorization': [[[-6, 1], 4]], 'hecke_orbit_code': 4504218136215720, 'p': 67}
  • id: 432944
    {'charpoly_factorization': [[[-72, 0, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 71}
  • id: 432945
    {'charpoly_factorization': [[[-10, 1], 4]], 'hecke_orbit_code': 4504218136215720, 'p': 73}
  • id: 432946
    {'charpoly_factorization': [[[64, 0, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 79}
  • id: 432947
    {'charpoly_factorization': [[[8, 0, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 83}
  • id: 432948
    {'charpoly_factorization': [[[8, 0, 1], 2]], 'hecke_orbit_code': 4504218136215720, 'p': 89}
  • id: 432949
    {'charpoly_factorization': [[[2, 1], 4]], 'hecke_orbit_code': 4504218136215720, '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': 10, 'hecke_orbit': 2, 'label': '168.2.j.b', 'level': 168, '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: 23478235
    {'hecke_orbit_code': 4504218136215720, 'n': 1, 'trace_an': 4}
  • id: 23478236
    {'hecke_orbit_code': 4504218136215720, 'n': 2, 'trace_an': 0}
  • id: 23478237
    {'hecke_orbit_code': 4504218136215720, 'n': 3, 'trace_an': 4}
  • id: 23478238
    {'hecke_orbit_code': 4504218136215720, 'n': 4, 'trace_an': 8}
  • id: 23478239
    {'hecke_orbit_code': 4504218136215720, 'n': 5, 'trace_an': 0}
  • id: 23478240
    {'hecke_orbit_code': 4504218136215720, 'n': 6, 'trace_an': 0}
  • id: 23478241
    {'hecke_orbit_code': 4504218136215720, 'n': 7, 'trace_an': 0}
  • id: 23478242
    {'hecke_orbit_code': 4504218136215720, 'n': 8, 'trace_an': 0}
  • id: 23478243
    {'hecke_orbit_code': 4504218136215720, 'n': 9, 'trace_an': -4}
  • id: 23478244
    {'hecke_orbit_code': 4504218136215720, 'n': 10, 'trace_an': -16}
  • id: 23478245
    {'hecke_orbit_code': 4504218136215720, 'n': 11, 'trace_an': 0}
  • id: 23478246
    {'hecke_orbit_code': 4504218136215720, 'n': 12, 'trace_an': 8}
  • id: 23478247
    {'hecke_orbit_code': 4504218136215720, 'n': 13, 'trace_an': 0}
  • id: 23478248
    {'hecke_orbit_code': 4504218136215720, 'n': 14, 'trace_an': 0}
  • id: 23478249
    {'hecke_orbit_code': 4504218136215720, 'n': 15, 'trace_an': 0}
  • id: 23478250
    {'hecke_orbit_code': 4504218136215720, 'n': 16, 'trace_an': 16}
  • id: 23478251
    {'hecke_orbit_code': 4504218136215720, 'n': 17, 'trace_an': 0}
  • id: 23478252
    {'hecke_orbit_code': 4504218136215720, 'n': 18, 'trace_an': 0}
  • id: 23478253
    {'hecke_orbit_code': 4504218136215720, 'n': 19, 'trace_an': -8}
  • id: 23478254
    {'hecke_orbit_code': 4504218136215720, 'n': 20, 'trace_an': 0}
  • id: 23478255
    {'hecke_orbit_code': 4504218136215720, 'n': 21, 'trace_an': 0}
  • id: 23478256
    {'hecke_orbit_code': 4504218136215720, 'n': 22, 'trace_an': 0}
  • id: 23478257
    {'hecke_orbit_code': 4504218136215720, 'n': 23, 'trace_an': 0}
  • id: 23478258
    {'hecke_orbit_code': 4504218136215720, 'n': 24, 'trace_an': 0}
  • id: 23478259
    {'hecke_orbit_code': 4504218136215720, 'n': 25, 'trace_an': 12}
  • id: 23478260
    {'hecke_orbit_code': 4504218136215720, 'n': 26, 'trace_an': 0}
  • id: 23478261
    {'hecke_orbit_code': 4504218136215720, 'n': 27, 'trace_an': -20}
  • id: 23478262
    {'hecke_orbit_code': 4504218136215720, 'n': 28, 'trace_an': 0}
  • id: 23478263
    {'hecke_orbit_code': 4504218136215720, 'n': 29, 'trace_an': 0}
  • id: 23478264
    {'hecke_orbit_code': 4504218136215720, 'n': 30, 'trace_an': -16}
  • id: 23478265
    {'hecke_orbit_code': 4504218136215720, 'n': 31, 'trace_an': 0}
  • id: 23478266
    {'hecke_orbit_code': 4504218136215720, 'n': 32, 'trace_an': 0}
  • id: 23478267
    {'hecke_orbit_code': 4504218136215720, 'n': 33, 'trace_an': 32}
  • id: 23478268
    {'hecke_orbit_code': 4504218136215720, 'n': 34, 'trace_an': 0}
  • id: 23478269
    {'hecke_orbit_code': 4504218136215720, 'n': 35, 'trace_an': 0}
  • id: 23478270
    {'hecke_orbit_code': 4504218136215720, 'n': 36, 'trace_an': -8}
  • id: 23478271
    {'hecke_orbit_code': 4504218136215720, 'n': 37, 'trace_an': 0}
  • id: 23478272
    {'hecke_orbit_code': 4504218136215720, 'n': 38, 'trace_an': 0}
  • id: 23478273
    {'hecke_orbit_code': 4504218136215720, 'n': 39, 'trace_an': 0}
  • id: 23478274
    {'hecke_orbit_code': 4504218136215720, 'n': 40, 'trace_an': -32}
  • id: 23478275
    {'hecke_orbit_code': 4504218136215720, 'n': 41, 'trace_an': 0}
  • id: 23478276
    {'hecke_orbit_code': 4504218136215720, 'n': 42, 'trace_an': -8}
  • id: 23478277
    {'hecke_orbit_code': 4504218136215720, 'n': 43, 'trace_an': -40}
  • id: 23478278
    {'hecke_orbit_code': 4504218136215720, 'n': 44, 'trace_an': 0}
  • id: 23478279
    {'hecke_orbit_code': 4504218136215720, 'n': 45, 'trace_an': 0}
  • id: 23478280
    {'hecke_orbit_code': 4504218136215720, 'n': 46, 'trace_an': -16}
  • id: 23478281
    {'hecke_orbit_code': 4504218136215720, 'n': 47, 'trace_an': 0}
  • id: 23478282
    {'hecke_orbit_code': 4504218136215720, 'n': 48, 'trace_an': 16}
  • id: 23478283
    {'hecke_orbit_code': 4504218136215720, 'n': 49, 'trace_an': -4}
  • id: 23478284
    {'hecke_orbit_code': 4504218136215720, 'n': 50, 'trace_an': 0}
  • id: 23478285
    {'hecke_orbit_code': 4504218136215720, 'n': 51, 'trace_an': -16}
  • id: 23478286
    {'hecke_orbit_code': 4504218136215720, 'n': 52, 'trace_an': 0}
  • id: 23478287
    {'hecke_orbit_code': 4504218136215720, 'n': 53, 'trace_an': 0}
  • id: 23478288
    {'hecke_orbit_code': 4504218136215720, 'n': 54, 'trace_an': 0}
  • id: 23478289
    {'hecke_orbit_code': 4504218136215720, 'n': 55, 'trace_an': 0}
  • id: 23478290
    {'hecke_orbit_code': 4504218136215720, 'n': 56, 'trace_an': 0}
  • id: 23478291
    {'hecke_orbit_code': 4504218136215720, 'n': 57, 'trace_an': -8}
  • id: 23478292
    {'hecke_orbit_code': 4504218136215720, 'n': 58, 'trace_an': 32}
  • id: 23478293
    {'hecke_orbit_code': 4504218136215720, 'n': 59, 'trace_an': 0}
  • id: 23478294
    {'hecke_orbit_code': 4504218136215720, 'n': 60, 'trace_an': 0}
  • id: 23478295
    {'hecke_orbit_code': 4504218136215720, 'n': 61, 'trace_an': 0}
  • id: 23478296
    {'hecke_orbit_code': 4504218136215720, 'n': 62, 'trace_an': 0}
  • id: 23478297
    {'hecke_orbit_code': 4504218136215720, 'n': 63, 'trace_an': 0}
  • id: 23478298
    {'hecke_orbit_code': 4504218136215720, 'n': 64, 'trace_an': 32}
  • id: 23478299
    {'hecke_orbit_code': 4504218136215720, 'n': 65, 'trace_an': 0}
  • id: 23478300
    {'hecke_orbit_code': 4504218136215720, 'n': 66, 'trace_an': 0}
  • id: 23478301
    {'hecke_orbit_code': 4504218136215720, 'n': 67, 'trace_an': 24}
  • id: 23478302
    {'hecke_orbit_code': 4504218136215720, 'n': 68, 'trace_an': 0}
  • id: 23478303
    {'hecke_orbit_code': 4504218136215720, 'n': 69, 'trace_an': 0}
  • id: 23478304
    {'hecke_orbit_code': 4504218136215720, 'n': 70, 'trace_an': 0}
  • id: 23478305
    {'hecke_orbit_code': 4504218136215720, 'n': 71, 'trace_an': 0}
  • id: 23478306
    {'hecke_orbit_code': 4504218136215720, 'n': 72, 'trace_an': 0}
  • id: 23478307
    {'hecke_orbit_code': 4504218136215720, 'n': 73, 'trace_an': 40}
  • id: 23478308
    {'hecke_orbit_code': 4504218136215720, 'n': 74, 'trace_an': 0}
  • id: 23478309
    {'hecke_orbit_code': 4504218136215720, 'n': 75, 'trace_an': 12}
  • id: 23478310
    {'hecke_orbit_code': 4504218136215720, 'n': 76, 'trace_an': -16}
  • id: 23478311
    {'hecke_orbit_code': 4504218136215720, 'n': 77, 'trace_an': 0}
  • id: 23478312
    {'hecke_orbit_code': 4504218136215720, 'n': 78, 'trace_an': 32}
  • id: 23478313
    {'hecke_orbit_code': 4504218136215720, 'n': 79, 'trace_an': 0}
  • id: 23478314
    {'hecke_orbit_code': 4504218136215720, 'n': 80, 'trace_an': 0}
  • id: 23478315
    {'hecke_orbit_code': 4504218136215720, 'n': 81, 'trace_an': -28}
  • id: 23478316
    {'hecke_orbit_code': 4504218136215720, 'n': 82, 'trace_an': 0}
  • id: 23478317
    {'hecke_orbit_code': 4504218136215720, 'n': 83, 'trace_an': 0}
  • id: 23478318
    {'hecke_orbit_code': 4504218136215720, 'n': 84, 'trace_an': 0}
  • id: 23478319
    {'hecke_orbit_code': 4504218136215720, 'n': 85, 'trace_an': 0}
  • id: 23478320
    {'hecke_orbit_code': 4504218136215720, 'n': 86, 'trace_an': 0}
  • id: 23478321
    {'hecke_orbit_code': 4504218136215720, 'n': 87, 'trace_an': 0}
  • id: 23478322
    {'hecke_orbit_code': 4504218136215720, 'n': 88, 'trace_an': 0}
  • id: 23478323
    {'hecke_orbit_code': 4504218136215720, 'n': 89, 'trace_an': 0}
  • id: 23478324
    {'hecke_orbit_code': 4504218136215720, 'n': 90, 'trace_an': 16}
  • id: 23478325
    {'hecke_orbit_code': 4504218136215720, 'n': 91, 'trace_an': 16}
  • id: 23478326
    {'hecke_orbit_code': 4504218136215720, 'n': 92, 'trace_an': 0}
  • id: 23478327
    {'hecke_orbit_code': 4504218136215720, 'n': 93, 'trace_an': 0}
  • id: 23478328
    {'hecke_orbit_code': 4504218136215720, 'n': 94, 'trace_an': 0}
  • id: 23478329
    {'hecke_orbit_code': 4504218136215720, 'n': 95, 'trace_an': 0}
  • id: 23478330
    {'hecke_orbit_code': 4504218136215720, 'n': 96, 'trace_an': 0}
  • id: 23478331
    {'hecke_orbit_code': 4504218136215720, 'n': 97, 'trace_an': -8}
  • id: 23478332
    {'hecke_orbit_code': 4504218136215720, 'n': 98, 'trace_an': 0}
  • id: 23478333
    {'hecke_orbit_code': 4504218136215720, 'n': 99, 'trace_an': 64}
  • id: 23478334
    {'hecke_orbit_code': 4504218136215720, 'n': 100, 'trace_an': 24}