Newform data - 168.2.i.b

Formats: - HTML - YAML - JSON - 2026-10-06T08:49:45.898681

• 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': 168, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 2, 'char_parity': 1, 'char_values': [168, 2, [127, 85, 113, 73], [2, 1, 1, 1]], 'cm_discs': [-24], 'conrey_index': 125, 'dim': 4, 'field_disc': 576, 'field_disc_factorization': [[2, 6], [3, 2]], 'field_poly': [4, 0, 2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [12, 0, 1]], [11, [-32, 0, 1]], [13, [0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4504149416738984, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 24, 8, -1, 2, -24], [1, 1, 3, 2, -1, 2, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 8, 2, 1, 2, 0], [1, 1, 21, 3, 1, 2, 0], [1, 1, 56, 8, -1, 2, 0], [1, 1, 168, 9, 1, 2, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '168.2.i.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.i.b', 'nf_label': '4.0.576.2', 'prim_orbit_index': 9, 'qexp_display': 'q+\\beta _{1}q^{2}-\\beta _{2}q^{3}+2q^{4}+2\\beta _{2}q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.1.d2', 'self_twist_discs': [-24], 'self_twist_type': 1, 'space_label': '168.2.i', 'trace_display': [0, 0, 0, 4], 'trace_hash': 1621340388845770727, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.020', 'prec': 7}, {'__RealLiteral__': 0, 'data': '3.707', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.148', 'prec': 10}, {'__RealLiteral__': 0, 'data': '172.701', 'prec': 20}, 0, {'__RealLiteral__': 0, 'data': '8888.399', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.881', 'prec': 10}, 'traces': [4, 0, 0, 8, 0, 0, 4, 0, -12, 0, 0, 0, 0, 0, 24, 16, 0, 0, 0, 0, 0, -32, 0, 0, -28, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 48, 0, 0, -12, 32, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 36, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 24, 80, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, -8, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, -52, 0, 0, 0, 0, 0, -28, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 104, 0, 0, -40, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 96, -32, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, -24, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, -48, 144, 0, 0, 16, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 80, 0, 0, 64, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 64, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 72, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 24, -80, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 48, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 60, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, -8, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, -176, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 48, 0, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 192, -320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, -64, 0, 144, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, -144, -200, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 136, 0, 0, -104, 0, 0, 192, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -108, 192, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 80, 0, 96, 0, 0, 0, 0, 0, 0, 40, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 184, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 96, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 160, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 200, 0, 0, 0, 0, 192, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 192, 28, 0, 0, 0, 0, 0, 248, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, -240, 0, 0, 0, 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, 0, 0], [0, 1, 0, 0], [0, 0, -1, 0], [2, 0, 0, 0], [0, 0, 2, 0], [0, 0, 0, 1], [1, 0, 0, 1], [0, 2, 0, 0], [-3, 0, 0, 0], [0, 0, 0, -2], [0, -4, 0, 0], [0, 0, -2, 0], [0, 0, 0, 0], [0, 1, -2, 0], [6, 0, 0, 0], [4, 0, 0, 0], [0, 0, 0, 0], [0, -3, 0, 0], [0, 0, 0, 0], [0, 0, 4, 0], [0, -3, -1, 0], [-8, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 2], [-7, 0, 0, 0], [0, 0, 0, 0], [0, 0, 3, 0], [2, 0, 0, 2], [0, -2, 0, 0], [0, 6, 0, 0], [0, 0, 0, -2], [0, 4, 0, 0], [0, 0, 0, -4], [0, 0, 0, 0], [0, 6, 2, 0], [-6, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, -4], [0, 0, 0, 0], [-6, 0, 0, 1], [0, 0, 0, 0], [0, -8, 0, 0], [0, 0, -6, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, -4, 0], [-5, 0, 0, 2], [0, -7, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 10, 0, 0], [0, 0, 0, -3], [0, 0, 0, 8], [0, 2, -4, 0], [0, 0, 0, 0], [-4, 0, 0, 0], [0, 0, -6, 0], [12, 0, 0, 0], [0, 0, 0, 0], [0, 0, 4, 0], [-3, 0, 0, -3], [8, 0, 0, 0], [0, 0, 0, 0], [0, 0, 8, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [12, 0, 0, -2], [0, 0, 0, 0], [0, -6, 0, 0], [0, 0, 0, 4], [0, 0, 0, 0], [0, 0, 7, 0], [0, 0, 0, 0], [0, -4, 8, 0], [0, 0, 0, 0], [10, 0, 0, 0], [0, 0, 8, 0], [9, 0, 0, 0], [0, 0, 0, 0], [0, 0, -10, 0], [0, -6, -2, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, -2], [-16, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 6], [0, 0, 0, 0], [0, 0, 0, 0], [0, 6, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 4], [0, 0, 0, -8], [0, -5, -4, 0], [0, 12, 0, 0], [-14, 0, 0, 0]], 'ap': [[0, 1, 0, 0], [0, 0, -1, 0], [0, 0, 2, 0], [1, 0, 0, 1], [0, -4, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -2, 0, 0], [0, 0, 0, -2], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 10, 0, 0], [0, 0, -6, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 4], [10, 0, 0, 0], [0, 0, -10, 0], [0, 0, 0, 0], [0, 0, 0, -8], [0, 0, -2, 0], [0, 0, 0, -6], [0, -8, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-22, 0, 0, 0], [0, 0, 2, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 2, 0, 0], [-2, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 10, 0], [0, 8, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [26, 0, 0, 0], [0, -10, 0, 0], [0, 0, 0, -10], [0, 0, 0, 0], [0, 0, 0, 6], [0, 0, -6, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 12], [0, 0, 18, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, -6, 0], [0, 0, 0, 10], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 18, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, -4], [0, -22, 0, 0], [0, 0, 0, 0], [-22, 0, 0, 0], [0, -20, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, -2], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 22, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, -16], [0, 0, 6, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 16], [0, 0, 0, 10], [0, 20, 0, 0], [0, 0, 0, 0], [38, 0, 0, 0], [0, 0, -22, 0], [-26, 0, 0, 0], [0, 0, 10, 0], [0, 0, 0, 0], [-2, 0, 0, 0], [0, -16, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, -26, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 10, 0, 0], [0, 0, 22, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 12], [0, 0, -10, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 20], [0, 0, 0, -18], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-50, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 34, 0, 0], [0, 32, 0, 0], [0, 0, 0, 0], [34, 0, 0, 0], [0, 0, 30, 0], [0, -4, 0, 0], [0, 0, 0, 0], [0, 26, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, -22], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [10, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 20], [0, 0, -30, 0], [0, 0, 0, 0], [0, 0, -10, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 34, 0, 0], [46, 0, 0, 0], [0, 40, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [50, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, -8], [0, 0, 22, 0], [0, -40, 0, 0], [0, 0, 0, 0], [62, 0, 0, 0], [0, 0, 2, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-58, 0, 0, 0], [0, 0, 0, 0]], 'char_orbit_index': 9, 'field_poly': [4, 0, 2, 0, 1], 'hecke_orbit_code': 4504149416738984, '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, 2, 1, 2], 'hecke_ring_inverse_denominators': [1, 2, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, -1, 0, 1], [-1, 0, 1, 0], [0, 2, 0, 0]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 0, 0, 1], [1, 0, 1, 0], [0, 4, 0, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '168.2.i.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': 168, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 2, 'char_parity': 1, 'char_values': [168, 2, [127, 85, 113, 73], [2, 1, 1, 1]], 'conrey_index': 125, 'cusp_dim': 28, 'dim': 28, 'eis_dim': 8, 'eis_new_dim': 8, 'hecke_cutter_primes': [5, 11, 13], 'hecke_orbit_code': 549789368488, 'hecke_orbit_dims': [4, 4, 4, 8, 8], 'label': '168.2.i', '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': 36, 'num_forms': 5, 'prim_orbit_index': 9, 'relative_dim': 28, 'sturm_bound': 64, 'trace_bound': 4, 'trace_display': [0, 0, 0, -4], 'traces': [28, 0, 0, -4, 0, 0, -4, 0, -4, 0, 0, 0, 0, 0, 8, 4, 0, 12, 0, 0, 0, -32, 0, 0, -20, 0, 0, -12, 0, -4, 0, 0, 0, 0, 0, -40, 0, 0, -16, 0, 0, 12, 0, 0, 0, 32, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -16, -16, 0, 44, 0, 0, -36, -52, 0, 0, 0, 0, 0, 48, 0, 12, 0, 0, 0, 0, 0, 68, 24, 0, 12, 0, 0, 36, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, -72, 0, 0, 8, 80, 0, 0, 0, 0, 0, 20, 0, -28, 0, 0, 0, 0, 0, 116, -36, 0, 0, 0, 0, -52, -40, 0, 0, -88, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, -24, 0, -88, 0, 0, 0, 144, 0, 0, 40, 0, 0, -104, 0, -76, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, -84, -44, 0, 0, -72, 0, 0, 60, 0, 8, 0, 0, 0, 0, 0, -64, 8, 0, 120, 0, 0, 0, -136, 0, 0, 40, 0, 0, -124, 0, 24, 0, 0, 0, 0, 0, -144, 0, 0, 112, 0, 0, 116, 0, 0, 0, 80, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -4, 120, 0, 68, 0, 0, 96, -176, 0, 0, 0, 0, 0, 72, 0, 68, 0, 0, 0, 0, 0, 144, -160, 0, 8, 0, 0, 96, 0, 0, 0, 196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, -148, 0, 0, -64, 224, 0, 0, 0, 0, 0, 168, 0, -72, 0, 0, 0, 0, 0, 228, -44, 0, 0, 0, 0, -120, 176, 0, 0, -128, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 48, 0, -172, 0, 0, 0, 184, 0, 0, -224, 0, 0, -168, 0, -60, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, -108, -8, 0, 0, -144, 0, 0, -124, 0, 160, 0, 0, 0, 0, 0, 32, -200, 0, 188, 0, 0, 0, -224, 0, 0, -20, 0, 0, -72, 0, 68, 0, 0, 0, 0, 0, -216, 0, 0, -224, 0, 0, 180, 0, 0, 0, 264, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 56, 64, 0, 216, 0, 0, -160, -404, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 312, 176, 0, -64, 0, 0, 188, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, -28, 144, 0, 0, 0, 0, 0, 204, 0, -92, 0, 0, 0, 0, 0, 308, 136, 0, 0, 0, 0, -144, -24, 0, 0, -160, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, -112, 0, -196, 0, 0, 0, 300, 0, 0, 328, 0, 0, -48, 0, -72, 0, 0, 0, 0, 0, -340, 0, 0, 0, 0, 0, -148, 128, 0, 0, -272, 0, 0, 192, 0, -64, 0, 0, 0, 0, 0, -40, -40, 0, 192, 0, 0, 0, -456, 0, 0, 20, 0, 0, -216, 0, 72, 0, 0, 0, 0, 0, -364, 0, 0, 320, 0, 0, 164, 0, 0, 0, 224, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, -144, -64, 0, 216, 0, 0, 140, -240, 0, 0, 0, 0, 0, 216, 0, 56, 0, 0, 0, 0, 0, 408, -320, 0, 16, 0, 0, 216, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, -292, 0, 0, 48, 392, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 332, -36, 0, 0, 0, 0, -216, -24, 0, 0, -320, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, -288, 0, -208, 0, 0, 0, 504, 0, 0, -304, 0, 0, -288, 0, -72, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, -204, 40, 0, 0, -372, 0, 0, -96, 0, -184, 0, 0, 0, 0, 0, 80, 216, 0, 280, 0, 0, 0, -304, 0, 0, -144, 0, 0, -340, 0, 92, 0, 0, 0, 0, 0, -412, 0, 0, -456, 0, 0, 144, 0, 0, 0, 128, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -100, 336, 0, 308, 0, 0, -232, -232, 0, 0, 0, 0, 0, 80, 0, 168, 0, 0, 0, 0, 0, 448, 376, 0, 152, 0, 0, 180, 0, 0, 0, 344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, -216, 0, 0, 144, 608, 0, 0, 0, 0, 0, 268, 0, -124, 0, 0, 0, 0, 0, 336, -352, 0, 0, 0, 0, -268, -288, 0, 0, -312, 0, 0, 0, 0, 344, 0, 0, 0, 0, 0, 0, 144, 0, -288, 0, 0, 0, 288, 0, 0, 552, 0, 0, -216, 0, -8, 0, 0, 0, 0, 0, -388, 0, 0, 0, 0, 0, -268, -204, 0, 0, -216, 0, 0, 172, 0, 32, 0, 0, 0, 0, 0, -80, -344, 0, 72, 0, 0, 0, -304, 0, 0, 128, 0, 0, -48, 0, 48, 0, 0, 0, 0, 0, -360, 0, 0, 536, 0, 0, 228, 0, 0, 0, 448, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 112, 128, 0, 344, 0, 0, 288, -600, 0, 0, 0, 0, 0, 440, 0, 44, 0, 0, 0, 0, 0, 360, -200, 0, 32, 0, 0, 264, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, -340, 0, 0, -40, 288, 0, 0, 0, 0, 0, 288, 0, -240, 0, 0, 0, 0, 0, 428, 196, 0, 0, 0, 0, -144, 8, 0, 0, -240, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, -272, 0, -360, 0, 0, 0, 248, 0, 0, -632, 0, 0, -64, 0, -172, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 139618
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.i.b', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '168.2.i.b', 'target_level': 168, 'twist_class_label': '168.2.i.b', 'twist_class_level': 168, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 139619
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.i.b', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '168.2.i.b', 'target_level': 168, 'twist_class_label': '168.2.i.b', 'twist_class_level': 168, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 139620
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.i.b', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '168.2.i.b', 'target_level': 168, 'twist_class_label': '168.2.i.b', 'twist_class_level': 168, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 139621
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.i.b', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '168.2.i.b', 'target_level': 168, 'twist_class_label': '168.2.i.b', 'twist_class_level': 168, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 139622
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.i.b', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '168.2.i.b', 'target_level': 168, 'twist_class_label': '168.2.i.b', 'twist_class_level': 168, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 139623
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -24, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.i.b', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '168.2.i.b', 'target_level': 168, 'twist_class_label': '168.2.i.b', 'twist_class_level': 168, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 139624
    {'conductor': 56, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.i.b', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '168.2.i.b', 'target_level': 168, 'twist_class_label': '168.2.i.b', 'twist_class_level': 168, 'twisting_char_label': '56.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 139625
    {'conductor': 168, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.i.b', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '168.2.i.b', 'target_level': 168, 'twist_class_label': '168.2.i.b', 'twist_class_level': 168, 'twisting_char_label': '168.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 139626
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.i.b', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '672.2.i.b', 'target_level': 672, 'twist_class_label': '168.2.i.b', 'twist_class_level': 168, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 139627
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.i.b', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '672.2.i.b', 'target_level': 672, 'twist_class_label': '168.2.i.b', 'twist_class_level': 168, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 139628
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.i.b', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '672.2.i.b', 'target_level': 672, 'twist_class_label': '168.2.i.b', 'twist_class_level': 168, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 139629
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.i.b', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '672.2.i.b', 'target_level': 672, 'twist_class_label': '168.2.i.b', 'twist_class_level': 168, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 139630
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.i.b', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '672.2.i.b', 'target_level': 672, 'twist_class_label': '168.2.i.b', 'twist_class_level': 168, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 139631
    {'conductor': 56, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.i.b', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '672.2.i.b', 'target_level': 672, 'twist_class_label': '168.2.i.b', 'twist_class_level': 168, 'twisting_char_label': '56.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 139632
    {'conductor': 84, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.i.b', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '672.2.i.b', 'target_level': 672, 'twist_class_label': '168.2.i.b', 'twist_class_level': 168, 'twisting_char_label': '84.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 139633
    {'conductor': 168, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '168.2.i.b', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '672.2.i.b', 'target_level': 672, 'twist_class_label': '168.2.i.b', 'twist_class_level': 168, 'twisting_char_label': '168.e', 'twisting_char_orbit': 5, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 432800
    {'charpoly_factorization': [[[-2, 0, 1], 2]], 'hecke_orbit_code': 4504149416738984, 'p': 2}
  • id: 432801
    {'charpoly_factorization': [[[3, 0, 1], 2]], 'hecke_orbit_code': 4504149416738984, 'p': 3}
  • id: 432802
    {'charpoly_factorization': [[[12, 0, 1], 2]], 'hecke_orbit_code': 4504149416738984, 'p': 5}
  • id: 432803
    {'charpoly_factorization': [[[7, -2, 1], 2]], 'hecke_orbit_code': 4504149416738984, 'p': 7}
  • id: 432804
    {'charpoly_factorization': [[[-32, 0, 1], 2]], 'hecke_orbit_code': 4504149416738984, 'p': 11}
  • id: 432805
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504149416738984, 'p': 13}
  • id: 432806
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504149416738984, 'p': 17}
  • id: 432807
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504149416738984, 'p': 19}
  • id: 432808
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504149416738984, 'p': 23}
  • id: 432809
    {'charpoly_factorization': [[[-8, 0, 1], 2]], 'hecke_orbit_code': 4504149416738984, 'p': 29}
  • id: 432810
    {'charpoly_factorization': [[[24, 0, 1], 2]], 'hecke_orbit_code': 4504149416738984, 'p': 31}
  • id: 432811
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504149416738984, 'p': 37}
  • id: 432812
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504149416738984, 'p': 41}
  • id: 432813
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504149416738984, 'p': 43}
  • id: 432814
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504149416738984, 'p': 47}
  • id: 432815
    {'charpoly_factorization': [[[-200, 0, 1], 2]], 'hecke_orbit_code': 4504149416738984, 'p': 53}
  • id: 432816
    {'charpoly_factorization': [[[108, 0, 1], 2]], 'hecke_orbit_code': 4504149416738984, 'p': 59}
  • id: 432817
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504149416738984, 'p': 61}
  • id: 432818
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504149416738984, 'p': 67}
  • id: 432819
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504149416738984, 'p': 71}
  • id: 432820
    {'charpoly_factorization': [[[96, 0, 1], 2]], 'hecke_orbit_code': 4504149416738984, 'p': 73}
  • id: 432821
    {'charpoly_factorization': [[[-10, 1], 4]], 'hecke_orbit_code': 4504149416738984, 'p': 79}
  • id: 432822
    {'charpoly_factorization': [[[300, 0, 1], 2]], 'hecke_orbit_code': 4504149416738984, 'p': 83}
  • id: 432823
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504149416738984, 'p': 89}
  • id: 432824
    {'charpoly_factorization': [[[384, 0, 1], 2]], 'hecke_orbit_code': 4504149416738984, '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': 9, 'hecke_orbit': 2, 'label': '168.2.i.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: 23237005
    {'hecke_orbit_code': 4504149416738984, 'n': 1, 'trace_an': 4}
  • id: 23237006
    {'hecke_orbit_code': 4504149416738984, 'n': 2, 'trace_an': 0}
  • id: 23237007
    {'hecke_orbit_code': 4504149416738984, 'n': 3, 'trace_an': 0}
  • id: 23237008
    {'hecke_orbit_code': 4504149416738984, 'n': 4, 'trace_an': 8}
  • id: 23237009
    {'hecke_orbit_code': 4504149416738984, 'n': 5, 'trace_an': 0}
  • id: 23237010
    {'hecke_orbit_code': 4504149416738984, 'n': 6, 'trace_an': 0}
  • id: 23237011
    {'hecke_orbit_code': 4504149416738984, 'n': 7, 'trace_an': 4}
  • id: 23237012
    {'hecke_orbit_code': 4504149416738984, 'n': 8, 'trace_an': 0}
  • id: 23237013
    {'hecke_orbit_code': 4504149416738984, 'n': 9, 'trace_an': -12}
  • id: 23237014
    {'hecke_orbit_code': 4504149416738984, 'n': 10, 'trace_an': 0}
  • id: 23237015
    {'hecke_orbit_code': 4504149416738984, 'n': 11, 'trace_an': 0}
  • id: 23237016
    {'hecke_orbit_code': 4504149416738984, 'n': 12, 'trace_an': 0}
  • id: 23237017
    {'hecke_orbit_code': 4504149416738984, 'n': 13, 'trace_an': 0}
  • id: 23237018
    {'hecke_orbit_code': 4504149416738984, 'n': 14, 'trace_an': 0}
  • id: 23237019
    {'hecke_orbit_code': 4504149416738984, 'n': 15, 'trace_an': 24}
  • id: 23237020
    {'hecke_orbit_code': 4504149416738984, 'n': 16, 'trace_an': 16}
  • id: 23237021
    {'hecke_orbit_code': 4504149416738984, 'n': 17, 'trace_an': 0}
  • id: 23237022
    {'hecke_orbit_code': 4504149416738984, 'n': 18, 'trace_an': 0}
  • id: 23237023
    {'hecke_orbit_code': 4504149416738984, 'n': 19, 'trace_an': 0}
  • id: 23237024
    {'hecke_orbit_code': 4504149416738984, 'n': 20, 'trace_an': 0}
  • id: 23237025
    {'hecke_orbit_code': 4504149416738984, 'n': 21, 'trace_an': 0}
  • id: 23237026
    {'hecke_orbit_code': 4504149416738984, 'n': 22, 'trace_an': -32}
  • id: 23237027
    {'hecke_orbit_code': 4504149416738984, 'n': 23, 'trace_an': 0}
  • id: 23237028
    {'hecke_orbit_code': 4504149416738984, 'n': 24, 'trace_an': 0}
  • id: 23237029
    {'hecke_orbit_code': 4504149416738984, 'n': 25, 'trace_an': -28}
  • id: 23237030
    {'hecke_orbit_code': 4504149416738984, 'n': 26, 'trace_an': 0}
  • id: 23237031
    {'hecke_orbit_code': 4504149416738984, 'n': 27, 'trace_an': 0}
  • id: 23237032
    {'hecke_orbit_code': 4504149416738984, 'n': 28, 'trace_an': 8}
  • id: 23237033
    {'hecke_orbit_code': 4504149416738984, 'n': 29, 'trace_an': 0}
  • id: 23237034
    {'hecke_orbit_code': 4504149416738984, 'n': 30, 'trace_an': 0}
  • id: 23237035
    {'hecke_orbit_code': 4504149416738984, 'n': 31, 'trace_an': 0}
  • id: 23237036
    {'hecke_orbit_code': 4504149416738984, 'n': 32, 'trace_an': 0}
  • id: 23237037
    {'hecke_orbit_code': 4504149416738984, 'n': 33, 'trace_an': 0}
  • id: 23237038
    {'hecke_orbit_code': 4504149416738984, 'n': 34, 'trace_an': 0}
  • id: 23237039
    {'hecke_orbit_code': 4504149416738984, 'n': 35, 'trace_an': 0}
  • id: 23237040
    {'hecke_orbit_code': 4504149416738984, 'n': 36, 'trace_an': -24}
  • id: 23237041
    {'hecke_orbit_code': 4504149416738984, 'n': 37, 'trace_an': 0}
  • id: 23237042
    {'hecke_orbit_code': 4504149416738984, 'n': 38, 'trace_an': 0}
  • id: 23237043
    {'hecke_orbit_code': 4504149416738984, 'n': 39, 'trace_an': 0}
  • id: 23237044
    {'hecke_orbit_code': 4504149416738984, 'n': 40, 'trace_an': 0}
  • id: 23237045
    {'hecke_orbit_code': 4504149416738984, 'n': 41, 'trace_an': 0}
  • id: 23237046
    {'hecke_orbit_code': 4504149416738984, 'n': 42, 'trace_an': -24}
  • id: 23237047
    {'hecke_orbit_code': 4504149416738984, 'n': 43, 'trace_an': 0}
  • id: 23237048
    {'hecke_orbit_code': 4504149416738984, 'n': 44, 'trace_an': 0}
  • id: 23237049
    {'hecke_orbit_code': 4504149416738984, 'n': 45, 'trace_an': 0}
  • id: 23237050
    {'hecke_orbit_code': 4504149416738984, 'n': 46, 'trace_an': 0}
  • id: 23237051
    {'hecke_orbit_code': 4504149416738984, 'n': 47, 'trace_an': 0}
  • id: 23237052
    {'hecke_orbit_code': 4504149416738984, 'n': 48, 'trace_an': 0}
  • id: 23237053
    {'hecke_orbit_code': 4504149416738984, 'n': 49, 'trace_an': -20}
  • id: 23237054
    {'hecke_orbit_code': 4504149416738984, 'n': 50, 'trace_an': 0}
  • id: 23237055
    {'hecke_orbit_code': 4504149416738984, 'n': 51, 'trace_an': 0}
  • id: 23237056
    {'hecke_orbit_code': 4504149416738984, 'n': 52, 'trace_an': 0}
  • id: 23237057
    {'hecke_orbit_code': 4504149416738984, 'n': 53, 'trace_an': 0}
  • id: 23237058
    {'hecke_orbit_code': 4504149416738984, 'n': 54, 'trace_an': 0}
  • id: 23237059
    {'hecke_orbit_code': 4504149416738984, 'n': 55, 'trace_an': 0}
  • id: 23237060
    {'hecke_orbit_code': 4504149416738984, 'n': 56, 'trace_an': 0}
  • id: 23237061
    {'hecke_orbit_code': 4504149416738984, 'n': 57, 'trace_an': 0}
  • id: 23237062
    {'hecke_orbit_code': 4504149416738984, 'n': 58, 'trace_an': -16}
  • id: 23237063
    {'hecke_orbit_code': 4504149416738984, 'n': 59, 'trace_an': 0}
  • id: 23237064
    {'hecke_orbit_code': 4504149416738984, 'n': 60, 'trace_an': 48}
  • id: 23237065
    {'hecke_orbit_code': 4504149416738984, 'n': 61, 'trace_an': 0}
  • id: 23237066
    {'hecke_orbit_code': 4504149416738984, 'n': 62, 'trace_an': 0}
  • id: 23237067
    {'hecke_orbit_code': 4504149416738984, 'n': 63, 'trace_an': -12}
  • id: 23237068
    {'hecke_orbit_code': 4504149416738984, 'n': 64, 'trace_an': 32}
  • id: 23237069
    {'hecke_orbit_code': 4504149416738984, 'n': 65, 'trace_an': 0}
  • id: 23237070
    {'hecke_orbit_code': 4504149416738984, 'n': 66, 'trace_an': 0}
  • id: 23237071
    {'hecke_orbit_code': 4504149416738984, 'n': 67, 'trace_an': 0}
  • id: 23237072
    {'hecke_orbit_code': 4504149416738984, 'n': 68, 'trace_an': 0}
  • id: 23237073
    {'hecke_orbit_code': 4504149416738984, 'n': 69, 'trace_an': 0}
  • id: 23237074
    {'hecke_orbit_code': 4504149416738984, 'n': 70, 'trace_an': 48}
  • id: 23237075
    {'hecke_orbit_code': 4504149416738984, 'n': 71, 'trace_an': 0}
  • id: 23237076
    {'hecke_orbit_code': 4504149416738984, 'n': 72, 'trace_an': 0}
  • id: 23237077
    {'hecke_orbit_code': 4504149416738984, 'n': 73, 'trace_an': 0}
  • id: 23237078
    {'hecke_orbit_code': 4504149416738984, 'n': 74, 'trace_an': 0}
  • id: 23237079
    {'hecke_orbit_code': 4504149416738984, 'n': 75, 'trace_an': 0}
  • id: 23237080
    {'hecke_orbit_code': 4504149416738984, 'n': 76, 'trace_an': 0}
  • id: 23237081
    {'hecke_orbit_code': 4504149416738984, 'n': 77, 'trace_an': 0}
  • id: 23237082
    {'hecke_orbit_code': 4504149416738984, 'n': 78, 'trace_an': 0}
  • id: 23237083
    {'hecke_orbit_code': 4504149416738984, 'n': 79, 'trace_an': 40}
  • id: 23237084
    {'hecke_orbit_code': 4504149416738984, 'n': 80, 'trace_an': 0}
  • id: 23237085
    {'hecke_orbit_code': 4504149416738984, 'n': 81, 'trace_an': 36}
  • id: 23237086
    {'hecke_orbit_code': 4504149416738984, 'n': 82, 'trace_an': 0}
  • id: 23237087
    {'hecke_orbit_code': 4504149416738984, 'n': 83, 'trace_an': 0}
  • id: 23237088
    {'hecke_orbit_code': 4504149416738984, 'n': 84, 'trace_an': 0}
  • id: 23237089
    {'hecke_orbit_code': 4504149416738984, 'n': 85, 'trace_an': 0}
  • id: 23237090
    {'hecke_orbit_code': 4504149416738984, 'n': 86, 'trace_an': 0}
  • id: 23237091
    {'hecke_orbit_code': 4504149416738984, 'n': 87, 'trace_an': 0}
  • id: 23237092
    {'hecke_orbit_code': 4504149416738984, 'n': 88, 'trace_an': -64}
  • id: 23237093
    {'hecke_orbit_code': 4504149416738984, 'n': 89, 'trace_an': 0}
  • id: 23237094
    {'hecke_orbit_code': 4504149416738984, 'n': 90, 'trace_an': 0}
  • id: 23237095
    {'hecke_orbit_code': 4504149416738984, 'n': 91, 'trace_an': 0}
  • id: 23237096
    {'hecke_orbit_code': 4504149416738984, 'n': 92, 'trace_an': 0}
  • id: 23237097
    {'hecke_orbit_code': 4504149416738984, 'n': 93, 'trace_an': 0}
  • id: 23237098
    {'hecke_orbit_code': 4504149416738984, 'n': 94, 'trace_an': 0}
  • id: 23237099
    {'hecke_orbit_code': 4504149416738984, 'n': 95, 'trace_an': 0}
  • id: 23237100
    {'hecke_orbit_code': 4504149416738984, 'n': 96, 'trace_an': 0}
  • id: 23237101
    {'hecke_orbit_code': 4504149416738984, 'n': 97, 'trace_an': 0}
  • id: 23237102
    {'hecke_orbit_code': 4504149416738984, 'n': 98, 'trace_an': 0}
  • id: 23237103
    {'hecke_orbit_code': 4504149416738984, 'n': 99, 'trace_an': 0}
  • id: 23237104
    {'hecke_orbit_code': 4504149416738984, 'n': 100, 'trace_an': -56}