Newform data - 168.2.i.a

Formats: - HTML - YAML - JSON - 2026-10-14T08:21:46.989079

• 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': [], '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, [2, 0, 1]], [11, [-6, 0, 1]], [13, [-2, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 549789368488, 'hecke_ring_generator_nbound': 3, '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, 56, 8, -1, 2, 0], [1, 1, 168, 9, 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.i.a', '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.a', 'nf_label': '4.0.576.1', 'prim_orbit_index': 9, 'qexp_display': 'q+\\beta _{1}q^{2}+(-1+\\beta _{2})q^{3}+(1+\\beta _{3})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.i', 'trace_display': [0, -4, 0, -8], 'trace_hash': 336094268233711210, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.030', 'prec': 7}, {'__RealLiteral__': 0, 'data': '3.860', 'prec': 14}, {'__RealLiteral__': 0, 'data': '1.151', 'prec': 14}, {'__RealLiteral__': 0, 'data': '123.523', 'prec': 20}, {'__RealLiteral__': 0, 'data': '57.060', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5022.133', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.750', 'prec': 10}, 'traces': [4, 0, -4, 4, 0, -4, -8, 0, -4, -4, 0, -4, 8, 0, -8, -8, 0, 8, -16, 0, 8, 12, 0, -16, 12, 0, 20, 4, 0, 4, 0, 0, 0, 36, 0, -4, 0, 0, -8, -16, 0, 20, 0, 0, 16, -4, 0, 8, 4, 0, 0, 8, 0, -4, 0, 0, 16, -24, 0, -8, -40, 0, 8, -32, 0, -12, 0, 0, -8, 20, 0, 32, 0, 0, -12, -16, 0, -8, 32, 0, -28, -12, 0, -4, 0, 0, 0, 0, 0, 4, -16, 0, 0, -24, 0, -16, 0, 0, 0, 12, 0, -36, 0, 0, 16, 0, 0, 20, 0, 0, 0, 40, 0, 16, -8, 0, -8, -16, 0, 16, -20, 0, 0, 48, 0, -40, -16, 0, 0, -8, 0, -24, 32, 0, -8, 0, 0, 4, 56, 0, 0, -4, 0, 8, 0, 0, -4, 72, 0, -12, 32, 0, 0, -12, 0, -8, 56, 0, 0, -16, 0, -16, 0, 0, 0, 32, 0, 32, -36, 0, 16, 24, 0, 24, -24, 0, -32, -36, 0, 16, -88, 0, 40, -16, 0, 48, 72, 0, -40, 16, 0, 32, -16, 0, -16, -44, 0, -12, 0, 0, 0, -28, 0, -72, 0, 0, 16, -16, 0, -20, 0, 0, -8, 36, 0, -16, -48, 0, 0, -24, 0, 72, 0, 0, -12, -40, 0, 16, 56, 0, 24, 0, 0, 16, 0, 0, -32, -36, 0, 16, 0, 0, -4, -40, 0, 12, -32, 0, 64, -32, 0, -4, 0, 0, 0, -32, 0, 24, -72, 0, 0, 32, 0, 0, 0, 0, 0, -24, 0, -20, 0, 0, 16, 32, 0, -8, 0, 0, 0, 32, 0, 24, -16, 0, 32, 24, 0, 32, 148, 0, 0, 0, 0, -52, -32, 0, 0, -48, 0, -12, -24, 0, -56, 32, 0, -36, -16, 0, 0, 48, 0, -32, 0, 0, -32, 32, 0, 0, -48, 0, 0, 20, 0, -28, 24, 0, 0, 0, 0, -24, 0, 0, 0, 96, 0, -40, 8, 0, -80, -72, 0, -32, 40, 0, 8, -4, 0, 48, 56, 0, 40, -48, 0, 16, -8, 0, 72, -108, 0, 16, -12, 0, 20, 8, 0, 40, 0, 0, 0, 72, 0, -48, 0, 0, -64, 0, 0, 20, 0, 0, 16, 44, 0, 32, 24, 0, 0, 96, 0, 8, 0, 0, 64, 72, 0, 48, 8, 0, -32, -24, 0, -24, 0, 0, -32, 24, 0, 0, 0, 0, 64, -96, 0, 4, 64, 0, -56, -48, 0, -8, 0, 0, 0, 0, 0, 4, 80, 0, 0, 24, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, -4, 72, 0, -72, 0, 0, 0, 64, 0, 24, -24, 0, -32, 8, 0, 64, -40, 0, 0, -8, 0, 12, -16, 0, 0, -40, 0, -8, 24, 0, -56, -64, 0, -32, -48, 0, 0, -76, 0, 16, 0, 0, 16, -20, 0, 44, -16, 0, 0, -52, 0, 24, -144, 0, 0, 96, 0, -32, 0, 0, 0, -40, 0, -64, -56, 0, 36, -16, 0, -72, 0, 0, -80, -12, 0, -24, -48, 0, -8, -32, 0, 24, -88, 0, 24, -28, 0, -48, 84, 0, 64, -16, 0, 36, 0, 0, 0, 68, 0, -8, 0, 0, 88, -144, 0, 40, 0, 0, 40, 36, 0, 16, -64, 0, 0, 56, 0, -96, 0, 0, -72, 8, 0, 48, -80, 0, 56, -16, 0, -16, 0, 0, 88, 12, 0, 32, 0, 0, 16, 48, 0, 96, 0, 0, 32, -4, 0, 44, 0, 0, 0, 144, 0, 60, 72, 0, 0, -8, 0, -48, 0, 0, 0, 32, 0, 28, 0, 0, -48, 40, 0, 144, 0, 0, 0, 48, 0, -96, -40, 0, -8, -120, 0, 16, -4, 0, 0, 56, 0, -20, 128, 0, 0, -96, 0, 0, 8, 0, 16, 32, 0, -36, 80, 0, 0, -144, 0, -64, 0, 0, 48, 72, 0, 0, 64, 0, 0, 24, 0, 24, 56, 0, 0, 128, 0, -144, 0, 0, 0, -24, 0, -16, 32, 0, 60, -36, 0, 40, -96, 0, 16, 48, 0, 16, 64, 0, -56, 48, 0, 8, -40, 0, -48, -12, 0, 0, -72, 0, -80, 12, 0, -8, 0, 0, 0, -60, 0, -32, 0, 0, -32, 0, 0, 36, 0, 0, -152, -76, 0, -32, 96, 0, 0, -88, 0, 20, 0, 0, 92, 0, 0, 40, 56, 0, -8, -16, 0, 12, 0, 0, 32, 0, 0, 0, 0, 0, -128, 72, 0, 32, 128, 0, -80, -48, 0, 20, 0, 0, 0, 64, 0, 16, 0, 0, 0, 24, 0, 32, 0, 0, 0, -16, 0, -48, 0, 0, 72, 120, 0, -16, 0, 0, 0, -104, 0, -32, 8, 0, -56, -32, 0, 0, -80, 0, 0, 72, 0, -80, -144, 0, 0, 32, 0, 24, 16, 0, 136, -112, 0, 28, 8, 0, 0, 72, 0, -144, 0, 0, 16, 24, 0, -32, 80, 0, 0, 80, 0, 16, -136, 0, 0, -64, 0, -56, 0, 0, 0, 32, 0, -32, -20, 0, 16, -168, 0, 24, 40, 0, 16, 108, 0, -8, -40, 0, -64, 0, 0, -24, 80, 0, -24, -52, 0, -16, -8, 0, -148, -144, 0, 48, 0, 0, 0, 16, 0, 0, 0, 0, -8, -48, 0, 104, 0, 0, 32, 84, 0, 0, 32, 0, 0, -120, 0, 48, 0, 0, -16, 104, 0, -12, 0, 0, 24, -160, 0, -32, 0, 0, 112, 40, 0, -32, 0, 0, 80, 56, 0, 180, -160, 0, 16, -28, 0, 72, 0, 0, 0, 96, 0, -48, -16, 0, 0, -88, 0, 64, 0, 0, 0, 48, 0, -56, 0, 0, 16, 24, 0, -32, 0, 0, 0, 144, 0, 0, 88, 0, 48, -24, 0, 64, -68, 0, 0, -48, 0, -20, -16, 0, 0, 96, 0, -4, -112, 0, -24, 80, 0, 72, -72, 0, 0, -84, 0, 0, 0, 0, -48, -32, 0, 48, -208, 0, 0, 20, 0, 64, 248, 0, 0, -128], '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], [-1, 0, 1, 0], [1, 0, 0, 1], [0, 0, 1, 0], [-1, -1, 0, 1], [-2, 0, 0, -1], [0, 0, 2, 0], [-1, 0, -2, 0], [-1, 0, 0, 1], [0, 2, -1, 0], [-1, -2, 2, -1], [2, 0, 0, 0], [0, -1, -2, 0], [-2, 0, -1, 0], [-2, 0, 0, 2], [0, 6, -3, 0], [2, -1, 0, -2], [-4, 0, 0, 0], [0, -2, 2, 0], [2, 2, -3, 1], [3, 0, 0, 1], [0, 0, 1, 0], [-4, 0, -2, 0], [3, 0, 0, 0], [0, 2, 0, 0], [5, 0, 1, 0], [1, 0, 0, -3], [0, -4, 2, 0], [1, -2, 0, -1], [0, 0, 0, -4], [0, -4, 4, 0], [0, -2, 1, 2], [9, 0, 0, 3], [0, 2, -3, 0], [-1, 4, -4, -1], [0, 0, 0, -6], [0, -4, 0, 0], [-2, 0, 2, 0], [-4, 0, 0, 0], [0, -2, 1, 0], [5, 1, 2, -1], [0, 0, 0, -2], [0, 2, 2, 0], [4, 0, -1, 0], [-1, 0, 0, 1], [0, -4, 2, 0], [2, -4, 0, -2], [1, 0, 0, 4], [0, 3, 0, 0], [0, -6, 3, 6], [2, 0, 0, 2], [0, 0, 0, 0], [-1, 5, 0, 1], [0, 0, 0, 2], [0, 4, -6, 0], [4, 0, -4, 0], [-6, 0, 0, -2], [0, 0, 4, 0], [-2, 2, -2, -2], [-10, 0, 0, 0], [0, 4, -8, 0], [2, -4, 6, 1], [-8, 0, 0, 0], [0, 0, 2, 0], [-3, -2, 4, -1], [0, 0, 0, 2], [0, 6, 6, 0], [-2, 0, -1, 0], [5, 0, 0, -1], [0, 0, 1, 0], [8, 0, -2, 0], [0, 0, 0, 0], [0, 6, -12, 0], [-3, 0, 3, 0], [-4, 0, 0, -4], [0, -4, -1, 0], [-2, -2, 0, 2], [8, 0, 0, 0], [0, -4, 0, 0], [-7, 0, 4, 0], [-3, 0, 0, -1], [0, 0, -8, 0], [-1, 6, -2, 3], [0, 0, 0, 6], [0, 2, -4, 0], [0, 4, -2, -4], [0, 0, 0, 4], [0, -6, 3, 0], [1, 4, 0, -1], [-4, 0, 0, -2], [0, -2, 2, 0], [0, 8, -4, 4], [-6, 0, 0, -2], [0, 0, -4, 0], [-4, 4, -4, -4], [0, 0, 0, -8], [0, -3, 8, 0], [0, -2, 1, -4], [3, 0, 0, 3]], 'ap': [[0, 1, 0, 0], [-1, 0, 1, 0], [0, 0, 1, 0], [-2, 0, 0, -1], [0, 2, -1, 0], [2, 0, 0, 0], [0, 6, -3, 0], [-4, 0, 0, 0], [0, 0, 1, 0], [0, -4, 2, 0], [0, 0, 0, -4], [0, 0, 0, -6], [0, -2, 1, 0], [0, 0, 0, -2], [0, -4, 2, 0], [0, 0, 0, 0], [0, 0, 4, 0], [-10, 0, 0, 0], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 0, 0], [8, 0, 0, 0], [0, 0, -8, 0], [0, -6, 3, 0], [0, 0, 0, -8], [0, 0, 7, 0], [0, 0, 0, 8], [0, 6, -3, 0], [0, 0, 0, 0], [0, 0, 10, 0], [-4, 0, 0, 0], [0, 0, -8, 0], [0, 0, -8, 0], [14, 0, 0, 0], [0, -8, 4, 0], [8, 0, 0, 0], [14, 0, 0, 0], [0, 0, 0, -6], [0, 16, -8, 0], [0, 0, 1, 0], [0, -18, 9, 0], [-22, 0, 0, 0], [0, 0, -11, 0], [-4, 0, 0, 0], [0, 12, -6, 0], [0, 0, 0, -6], [0, 0, 0, 14], [0, 0, 0, 10], [0, 0, -2, 0], [14, 0, 0, 0], [0, 0, 10, 0], [0, 0, 19, 0], [0, 0, 0, 4], [0, 0, 10, 0], [0, -2, 1, 0], [0, 0, 7, 0], [0, 0, -17, 0], [0, 0, 0, 0], [0, 0, 0, -2], [0, 0, -2, 0], [-4, 0, 0, 0], [0, 0, 1, 0], [-4, 0, 0, 0], [0, -20, 10, 0], [0, 0, 0, 4], [0, -16, 8, 0], [0, 0, 0, -14], [2, 0, 0, 0], [0, -2, 1, 0], [14, 0, 0, 0], [0, -10, 5, 0], [0, 0, 19, 0], [0, 0, 0, -2], [0, 0, 0, 8], [0, 0, 0, 6], [0, 4, -2, 0], [0, 20, -10, 0], [2, 0, 0, 0], [0, 0, -8, 0], [0, 0, 0, 20], [0, 0, -8, 0], [0, 0, 0, -14], [0, 0, 13, 0], [0, 0, 0, -12], [0, 0, 0, -14], [0, 14, -7, 0], [0, 0, -26, 0], [-10, 0, 0, 0], [0, 0, 7, 0], [-4, 0, 0, 0], [0, 0, 22, 0], [0, -4, 2, 0], [-4, 0, 0, 0], [0, -14, 7, 0], [0, 0, 0, 2], [0, 12, -6, 0], [0, 0, 13, 0], [0, -30, 15, 0], [-22, 0, 0, 0], [0, 0, 0, -18], [0, 0, 0, -14], [0, 24, -12, 0], [0, 0, -8, 0], [0, 0, 10, 0], [0, 0, 0, -10], [0, 0, 0, -12], [0, 0, -2, 0], [0, -6, 3, 0], [0, 0, 13, 0], [0, 0, 0, 4], [0, 0, 0, 2], [0, 0, 0, 0], [0, 0, 4, 0], [-10, 0, 0, 0], [32, 0, 0, 0], [0, 0, 16, 0], [20, 0, 0, 0], [0, 0, 0, 0], [0, -8, 4, 0], [0, 26, -13, 0], [14, 0, 0, 0], [8, 0, 0, 0], [0, 0, 19, 0], [0, -42, 21, 0], [-10, 0, 0, 0], [0, 24, -12, 0], [0, 0, 0, -8], [0, 12, -6, 0], [0, 0, 0, -8], [14, 0, 0, 0], [0, 0, 0, 18], [0, 0, -5, 0], [32, 0, 0, 0], [0, 0, 0, 24], [0, -14, 7, 0], [0, 0, 0, 20], [0, 0, 19, 0], [2, 0, 0, 0], [0, 0, 37, 0], [0, 0, -14, 0], [2, 0, 0, 0], [0, -40, 20, 0], [20, 0, 0, 0], [0, -6, 3, 0], [-34, 0, 0, 0], [0, -40, 20, 0], [-10, 0, 0, 0], [0, 26, -13, 0], [20, 0, 0, 0], [0, 0, 1, 0], [0, 0, 0, 8], [0, 18, -9, 0], [0, 0, 0, -6], [0, -32, 16, 0], [0, 0, 0, 22], [0, 0, -11, 0], [-40, 0, 0, 0], [0, 26, -13, 0], [0, 0, 0, 24], [0, 0, 1, 0], [0, 38, -19, 0], [0, 0, -32, 0], [-4, 0, 0, 0], [0, 0, -26, 0], [0, 0, -14, 0], [0, 32, -16, 0], [-52, 0, 0, 0], [62, 0, 0, 0]], 'char_orbit_index': 9, 'field_poly': [4, 0, -2, 0, 1], 'hecke_orbit_code': 549789368488, '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, 2, 1], 'hecke_ring_inverse_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [1, 0, 0, 1], [0, 0, 2, 0]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 1], [-1, 0, 1, 0]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '168.2.i.a', '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: 139602
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '168.2.i.a', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '168.2.i.a', 'target_level': 168, 'twist_class_label': '168.2.i.a', 'twist_class_level': 168, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 139603
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '168.2.i.a', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '168.2.i.a', 'target_level': 168, 'twist_class_label': '168.2.i.a', 'twist_class_level': 168, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 139604
    {'conductor': 56, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '168.2.i.a', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '168.2.i.a', 'target_level': 168, 'twist_class_label': '168.2.i.a', 'twist_class_level': 168, 'twisting_char_label': '56.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 139605
    {'conductor': 168, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '168.2.i.a', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '168.2.i.a', 'target_level': 168, 'twist_class_label': '168.2.i.a', 'twist_class_level': 168, 'twisting_char_label': '168.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 139606
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '168.2.i.a', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '168.2.i.c', 'target_level': 168, 'twist_class_label': '168.2.i.a', 'twist_class_level': 168, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 139607
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '168.2.i.a', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '168.2.i.c', 'target_level': 168, 'twist_class_label': '168.2.i.a', 'twist_class_level': 168, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 139608
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '168.2.i.a', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '168.2.i.c', 'target_level': 168, 'twist_class_label': '168.2.i.a', 'twist_class_level': 168, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 139609
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '168.2.i.a', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '168.2.i.c', 'target_level': 168, 'twist_class_label': '168.2.i.a', 'twist_class_level': 168, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 139610
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '168.2.i.a', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '672.2.i.a', 'target_level': 672, 'twist_class_label': '168.2.i.a', 'twist_class_level': 168, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 139611
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '168.2.i.a', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '672.2.i.a', 'target_level': 672, 'twist_class_label': '168.2.i.a', 'twist_class_level': 168, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 139612
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '168.2.i.a', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '672.2.i.a', 'target_level': 672, 'twist_class_label': '168.2.i.a', 'twist_class_level': 168, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 139613
    {'conductor': 84, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '168.2.i.a', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '672.2.i.a', 'target_level': 672, 'twist_class_label': '168.2.i.a', 'twist_class_level': 168, 'twisting_char_label': '84.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 139614
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '168.2.i.a', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '672.2.i.c', 'target_level': 672, 'twist_class_label': '168.2.i.a', 'twist_class_level': 168, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 139615
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '168.2.i.a', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '672.2.i.c', 'target_level': 672, 'twist_class_label': '168.2.i.a', 'twist_class_level': 168, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 139616
    {'conductor': 56, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '168.2.i.a', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '672.2.i.c', 'target_level': 672, 'twist_class_label': '168.2.i.a', 'twist_class_level': 168, 'twisting_char_label': '56.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 139617
    {'conductor': 168, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '168.2.i.a', 'source_level': 168, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '672.2.i.c', 'target_level': 672, 'twist_class_label': '168.2.i.a', '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: 432775
    {'charpoly_factorization': [[[4, 0, -2, 0, 1], 1]], 'hecke_orbit_code': 549789368488, 'p': 2}
  • id: 432776
    {'charpoly_factorization': [[[3, 2, 1], 2]], 'hecke_orbit_code': 549789368488, 'p': 3}
  • id: 432777
    {'charpoly_factorization': [[[2, 0, 1], 2]], 'hecke_orbit_code': 549789368488, 'p': 5}
  • id: 432778
    {'charpoly_factorization': [[[7, 4, 1], 2]], 'hecke_orbit_code': 549789368488, 'p': 7}
  • id: 432779
    {'charpoly_factorization': [[[-6, 0, 1], 2]], 'hecke_orbit_code': 549789368488, 'p': 11}
  • id: 432780
    {'charpoly_factorization': [[[-2, 1], 4]], 'hecke_orbit_code': 549789368488, 'p': 13}
  • id: 432781
    {'charpoly_factorization': [[[-54, 0, 1], 2]], 'hecke_orbit_code': 549789368488, 'p': 17}
  • id: 432782
    {'charpoly_factorization': [[[4, 1], 4]], 'hecke_orbit_code': 549789368488, 'p': 19}
  • id: 432783
    {'charpoly_factorization': [[[2, 0, 1], 2]], 'hecke_orbit_code': 549789368488, 'p': 23}
  • id: 432784
    {'charpoly_factorization': [[[-24, 0, 1], 2]], 'hecke_orbit_code': 549789368488, 'p': 29}
  • id: 432785
    {'charpoly_factorization': [[[48, 0, 1], 2]], 'hecke_orbit_code': 549789368488, 'p': 31}
  • id: 432786
    {'charpoly_factorization': [[[108, 0, 1], 2]], 'hecke_orbit_code': 549789368488, 'p': 37}
  • id: 432787
    {'charpoly_factorization': [[[-6, 0, 1], 2]], 'hecke_orbit_code': 549789368488, 'p': 41}
  • id: 432788
    {'charpoly_factorization': [[[12, 0, 1], 2]], 'hecke_orbit_code': 549789368488, 'p': 43}
  • id: 432789
    {'charpoly_factorization': [[[-24, 0, 1], 2]], 'hecke_orbit_code': 549789368488, 'p': 47}
  • id: 432790
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 549789368488, 'p': 53}
  • id: 432791
    {'charpoly_factorization': [[[32, 0, 1], 2]], 'hecke_orbit_code': 549789368488, 'p': 59}
  • id: 432792
    {'charpoly_factorization': [[[10, 1], 4]], 'hecke_orbit_code': 549789368488, 'p': 61}
  • id: 432793
    {'charpoly_factorization': [[[12, 0, 1], 2]], 'hecke_orbit_code': 549789368488, 'p': 67}
  • id: 432794
    {'charpoly_factorization': [[[2, 0, 1], 2]], 'hecke_orbit_code': 549789368488, 'p': 71}
  • id: 432795
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 549789368488, 'p': 73}
  • id: 432796
    {'charpoly_factorization': [[[-8, 1], 4]], 'hecke_orbit_code': 549789368488, 'p': 79}
  • id: 432797
    {'charpoly_factorization': [[[128, 0, 1], 2]], 'hecke_orbit_code': 549789368488, 'p': 83}
  • id: 432798
    {'charpoly_factorization': [[[-54, 0, 1], 2]], 'hecke_orbit_code': 549789368488, 'p': 89}
  • id: 432799
    {'charpoly_factorization': [[[192, 0, 1], 2]], 'hecke_orbit_code': 549789368488, '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': 1, 'label': '168.2.i.a', 'level': 168, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 9778524
    {'hecke_orbit_code': 549789368488, 'n': 1, 'trace_an': 4}
  • id: 9778525
    {'hecke_orbit_code': 549789368488, 'n': 2, 'trace_an': 0}
  • id: 9778526
    {'hecke_orbit_code': 549789368488, 'n': 3, 'trace_an': -4}
  • id: 9778527
    {'hecke_orbit_code': 549789368488, 'n': 4, 'trace_an': 4}
  • id: 9778528
    {'hecke_orbit_code': 549789368488, 'n': 5, 'trace_an': 0}
  • id: 9778529
    {'hecke_orbit_code': 549789368488, 'n': 6, 'trace_an': -4}
  • id: 9778530
    {'hecke_orbit_code': 549789368488, 'n': 7, 'trace_an': -8}
  • id: 9778531
    {'hecke_orbit_code': 549789368488, 'n': 8, 'trace_an': 0}
  • id: 9778532
    {'hecke_orbit_code': 549789368488, 'n': 9, 'trace_an': -4}
  • id: 9778533
    {'hecke_orbit_code': 549789368488, 'n': 10, 'trace_an': -4}
  • id: 9778534
    {'hecke_orbit_code': 549789368488, 'n': 11, 'trace_an': 0}
  • id: 9778535
    {'hecke_orbit_code': 549789368488, 'n': 12, 'trace_an': -4}
  • id: 9778536
    {'hecke_orbit_code': 549789368488, 'n': 13, 'trace_an': 8}
  • id: 9778537
    {'hecke_orbit_code': 549789368488, 'n': 14, 'trace_an': 0}
  • id: 9778538
    {'hecke_orbit_code': 549789368488, 'n': 15, 'trace_an': -8}
  • id: 9778539
    {'hecke_orbit_code': 549789368488, 'n': 16, 'trace_an': -8}
  • id: 9778540
    {'hecke_orbit_code': 549789368488, 'n': 17, 'trace_an': 0}
  • id: 9778541
    {'hecke_orbit_code': 549789368488, 'n': 18, 'trace_an': 8}
  • id: 9778542
    {'hecke_orbit_code': 549789368488, 'n': 19, 'trace_an': -16}
  • id: 9778543
    {'hecke_orbit_code': 549789368488, 'n': 20, 'trace_an': 0}
  • id: 9778544
    {'hecke_orbit_code': 549789368488, 'n': 21, 'trace_an': 8}
  • id: 9778545
    {'hecke_orbit_code': 549789368488, 'n': 22, 'trace_an': 12}
  • id: 9778546
    {'hecke_orbit_code': 549789368488, 'n': 23, 'trace_an': 0}
  • id: 9778547
    {'hecke_orbit_code': 549789368488, 'n': 24, 'trace_an': -16}
  • id: 9778548
    {'hecke_orbit_code': 549789368488, 'n': 25, 'trace_an': 12}
  • id: 9778549
    {'hecke_orbit_code': 549789368488, 'n': 26, 'trace_an': 0}
  • id: 9778550
    {'hecke_orbit_code': 549789368488, 'n': 27, 'trace_an': 20}
  • id: 9778551
    {'hecke_orbit_code': 549789368488, 'n': 28, 'trace_an': 4}
  • id: 9778552
    {'hecke_orbit_code': 549789368488, 'n': 29, 'trace_an': 0}
  • id: 9778553
    {'hecke_orbit_code': 549789368488, 'n': 30, 'trace_an': 4}
  • id: 9778554
    {'hecke_orbit_code': 549789368488, 'n': 31, 'trace_an': 0}
  • id: 9778555
    {'hecke_orbit_code': 549789368488, 'n': 32, 'trace_an': 0}
  • id: 9778556
    {'hecke_orbit_code': 549789368488, 'n': 33, 'trace_an': 0}
  • id: 9778557
    {'hecke_orbit_code': 549789368488, 'n': 34, 'trace_an': 36}
  • id: 9778558
    {'hecke_orbit_code': 549789368488, 'n': 35, 'trace_an': 0}
  • id: 9778559
    {'hecke_orbit_code': 549789368488, 'n': 36, 'trace_an': -4}
  • id: 9778560
    {'hecke_orbit_code': 549789368488, 'n': 37, 'trace_an': 0}
  • id: 9778561
    {'hecke_orbit_code': 549789368488, 'n': 38, 'trace_an': 0}
  • id: 9778562
    {'hecke_orbit_code': 549789368488, 'n': 39, 'trace_an': -8}
  • id: 9778563
    {'hecke_orbit_code': 549789368488, 'n': 40, 'trace_an': -16}
  • id: 9778564
    {'hecke_orbit_code': 549789368488, 'n': 41, 'trace_an': 0}
  • id: 9778565
    {'hecke_orbit_code': 549789368488, 'n': 42, 'trace_an': 20}
  • id: 9778566
    {'hecke_orbit_code': 549789368488, 'n': 43, 'trace_an': 0}
  • id: 9778567
    {'hecke_orbit_code': 549789368488, 'n': 44, 'trace_an': 0}
  • id: 9778568
    {'hecke_orbit_code': 549789368488, 'n': 45, 'trace_an': 16}
  • id: 9778569
    {'hecke_orbit_code': 549789368488, 'n': 46, 'trace_an': -4}
  • id: 9778570
    {'hecke_orbit_code': 549789368488, 'n': 47, 'trace_an': 0}
  • id: 9778571
    {'hecke_orbit_code': 549789368488, 'n': 48, 'trace_an': 8}
  • id: 9778572
    {'hecke_orbit_code': 549789368488, 'n': 49, 'trace_an': 4}
  • id: 9778573
    {'hecke_orbit_code': 549789368488, 'n': 50, 'trace_an': 0}
  • id: 9778574
    {'hecke_orbit_code': 549789368488, 'n': 51, 'trace_an': 0}
  • id: 9778575
    {'hecke_orbit_code': 549789368488, 'n': 52, 'trace_an': 8}
  • id: 9778576
    {'hecke_orbit_code': 549789368488, 'n': 53, 'trace_an': 0}
  • id: 9778577
    {'hecke_orbit_code': 549789368488, 'n': 54, 'trace_an': -4}
  • id: 9778578
    {'hecke_orbit_code': 549789368488, 'n': 55, 'trace_an': 0}
  • id: 9778579
    {'hecke_orbit_code': 549789368488, 'n': 56, 'trace_an': 0}
  • id: 9778580
    {'hecke_orbit_code': 549789368488, 'n': 57, 'trace_an': 16}
  • id: 9778581
    {'hecke_orbit_code': 549789368488, 'n': 58, 'trace_an': -24}
  • id: 9778582
    {'hecke_orbit_code': 549789368488, 'n': 59, 'trace_an': 0}
  • id: 9778583
    {'hecke_orbit_code': 549789368488, 'n': 60, 'trace_an': -8}
  • id: 9778584
    {'hecke_orbit_code': 549789368488, 'n': 61, 'trace_an': -40}
  • id: 9778585
    {'hecke_orbit_code': 549789368488, 'n': 62, 'trace_an': 0}
  • id: 9778586
    {'hecke_orbit_code': 549789368488, 'n': 63, 'trace_an': 8}
  • id: 9778587
    {'hecke_orbit_code': 549789368488, 'n': 64, 'trace_an': -32}
  • id: 9778588
    {'hecke_orbit_code': 549789368488, 'n': 65, 'trace_an': 0}
  • id: 9778589
    {'hecke_orbit_code': 549789368488, 'n': 66, 'trace_an': -12}
  • id: 9778590
    {'hecke_orbit_code': 549789368488, 'n': 67, 'trace_an': 0}
  • id: 9778591
    {'hecke_orbit_code': 549789368488, 'n': 68, 'trace_an': 0}
  • id: 9778592
    {'hecke_orbit_code': 549789368488, 'n': 69, 'trace_an': -8}
  • id: 9778593
    {'hecke_orbit_code': 549789368488, 'n': 70, 'trace_an': 20}
  • id: 9778594
    {'hecke_orbit_code': 549789368488, 'n': 71, 'trace_an': 0}
  • id: 9778595
    {'hecke_orbit_code': 549789368488, 'n': 72, 'trace_an': 32}
  • id: 9778596
    {'hecke_orbit_code': 549789368488, 'n': 73, 'trace_an': 0}
  • id: 9778597
    {'hecke_orbit_code': 549789368488, 'n': 74, 'trace_an': 0}
  • id: 9778598
    {'hecke_orbit_code': 549789368488, 'n': 75, 'trace_an': -12}
  • id: 9778599
    {'hecke_orbit_code': 549789368488, 'n': 76, 'trace_an': -16}
  • id: 9778600
    {'hecke_orbit_code': 549789368488, 'n': 77, 'trace_an': 0}
  • id: 9778601
    {'hecke_orbit_code': 549789368488, 'n': 78, 'trace_an': -8}
  • id: 9778602
    {'hecke_orbit_code': 549789368488, 'n': 79, 'trace_an': 32}
  • id: 9778603
    {'hecke_orbit_code': 549789368488, 'n': 80, 'trace_an': 0}
  • id: 9778604
    {'hecke_orbit_code': 549789368488, 'n': 81, 'trace_an': -28}
  • id: 9778605
    {'hecke_orbit_code': 549789368488, 'n': 82, 'trace_an': -12}
  • id: 9778606
    {'hecke_orbit_code': 549789368488, 'n': 83, 'trace_an': 0}
  • id: 9778607
    {'hecke_orbit_code': 549789368488, 'n': 84, 'trace_an': -4}
  • id: 9778608
    {'hecke_orbit_code': 549789368488, 'n': 85, 'trace_an': 0}
  • id: 9778609
    {'hecke_orbit_code': 549789368488, 'n': 86, 'trace_an': 0}
  • id: 9778610
    {'hecke_orbit_code': 549789368488, 'n': 87, 'trace_an': 0}
  • id: 9778611
    {'hecke_orbit_code': 549789368488, 'n': 88, 'trace_an': 0}
  • id: 9778612
    {'hecke_orbit_code': 549789368488, 'n': 89, 'trace_an': 0}
  • id: 9778613
    {'hecke_orbit_code': 549789368488, 'n': 90, 'trace_an': 4}
  • id: 9778614
    {'hecke_orbit_code': 549789368488, 'n': 91, 'trace_an': -16}
  • id: 9778615
    {'hecke_orbit_code': 549789368488, 'n': 92, 'trace_an': 0}
  • id: 9778616
    {'hecke_orbit_code': 549789368488, 'n': 93, 'trace_an': 0}
  • id: 9778617
    {'hecke_orbit_code': 549789368488, 'n': 94, 'trace_an': -24}
  • id: 9778618
    {'hecke_orbit_code': 549789368488, 'n': 95, 'trace_an': 0}
  • id: 9778619
    {'hecke_orbit_code': 549789368488, 'n': 96, 'trace_an': -16}
  • id: 9778620
    {'hecke_orbit_code': 549789368488, 'n': 97, 'trace_an': 0}
  • id: 9778621
    {'hecke_orbit_code': 549789368488, 'n': 98, 'trace_an': 0}
  • id: 9778622
    {'hecke_orbit_code': 549789368488, 'n': 99, 'trace_an': 0}
  • id: 9778623
    {'hecke_orbit_code': 549789368488, 'n': 100, 'trace_an': 12}