Newform data - 406.2.a.a

Formats: - HTML - YAML - JSON - 2024-11-17T06:29:53.245039

• 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': 1624, 'analytic_conductor': 3.241926322063984, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [7, 1], [29, 1]], 'atkin_lehner_string': '+++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [406, 1, [59, 379], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [0, 1]], [5, [0, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 33554838, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '406.2.a.a', 'level': 406, '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': True, 'level_primes': [2, 7, 29], 'level_radical': 406, 'minimal_twist': '406.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}+q^{4}-q^{7}-q^{8}-3q^{9}-4q^{11}+\\cdots', 'related_objects': ['EllipticCurve/Q/406/a'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '406.2.a', 'trace_display': [-1, 0, 0, -1], 'trace_hash': 410803959327742228, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.013', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.044', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.180', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.021', 'prec': 17}, 'traces': [1, -1, 0, 1, 0, 0, -1, -1, -3, 0, -4, 0, 0, 1, 0, 1, -4, 3, 4, 0, 0, 4, 0, 0, -5, 0, 0, -1, -1, 0, -6, -1, 0, 4, 0, -3, -2, -4, 0, 0, -8, 0, 4, -4, 0, 0, 2, 0, 1, 5, 0, 0, -2, 0, 0, 1, 0, 1, -10, 0, -2, 6, 3, 1, 0, 0, 8, -4, 0, 0, 16, 3, 0, 2, 0, 4, 4, 0, -4, 0, 9, 8, -6, 0, 0, -4, 0, 4, 0, 0, 0, 0, 0, -2, 0, 0, 12, -1, 12, -5, -10, 0, 12, 0, 0, 2, 4, 0, 10, 0, 0, -1, -6, 0, 0, -1, 0, 10, 4, 0, 5, 2, 0, -6, 0, -3, 16, -1, 0, 0, -12, 0, -4, -8, 0, 4, -2, 0, 18, 0, 0, -16, 0, -3, 0, 0, 0, -2, -18, 0, -8, -4, 12, -4, 0, 0, -14, 4, 0, 0, 0, -9, 4, -8, 0, 6, 8, 0, -13, 0, -12, 4, -8, 0, 5, -4, 0, 0, 16, 0, -16, 0, 0, 0, 0, 0, 16, 2, 0, 0, -12, 0, -14, -12, 0, 1, 14, -12, -20, 5, 0, 10, 1, 0, 0, -12, 0, 0, -16, 0, -4, -2, 0, -4, 0, 0, 6, -10, 0, 0, 0, 0, -28, 1, 15, 6, 6, 0, -22, 0, 0, 1, 26, 0, 0, -10, 0, -4, 8, 0, 26, -5, 0, -2, 0, 0, 0, 6, 0, 0, -28, 3, 0, -16, 0, 1, 6, 0, 2, 0, 3, 12, 4, 0, 0, 4, 0, 8, -10, 0, -2, -4, 0, 2, 20, 0, -10, -18, 18, 0, -10, 0, 6, 16, 0, 0, 8, 3, -1, 0, 0, 0, -22, 0, 0, 2, 0, 18, 0, 0, -4, 8, 0, 4, 0, -12, 16, 4, 0, 0, -18, 0, -14, 14, 0, -4, 18, 0, 4, 0, 0, 0, -16, 9, 0, -4, 0, 8, -2, 0, -12, -6, 6, -8, 0, 0, -2, 13, 0, 0, 24, 12, -1, -4, 0, 8, 24, 0, -4, -5, 0, 4, 34, 0, 0, 0, 0, -16, 24, 0, -3, 16, 0, 0, 0, 0, 14, 0, 24, 0, 2, 0, -10, -16, 0, -2, 0, 0, -4, 0, 0, 12, -16, 0, 0, 14, -12, 12, -26, 0, 0, -1, 0, -14, 0, 12, -32, 20, 0, -5, 10, 0, 0, -10, 0, -1, 8, 0, 4, 0, 0, 12, 10, 0, 0, 0, 0, 16, 10, 0, -10, 4, -6, 2, 20, 0, 2, 4, 0, 0, -32, 0, -40, -6, 0, 10, 0, 0, 16, 0, -3, 0, -12, 0, 0, 28, 0, -1, 10, -15, 32, -6, 0, -6, 0, 0, 38, 22, 0, 0, -18, 0, -16, -1, 0, -26, -28, 0, -8, 0, 0, 10, -16, 0, -20, 4, 6, -8, -14, 0, 0, -26, 0, 5, 0, 0, 8, 2, 0, 0, -4, 0, 4, 0, 0, -6, -16, 0, -20, 0, 0, 28, -10, -3, 0, 0, 0, 16, 36, 0, 0, -1, 0, -6, 0, 0, -8, -2, 0, 0, 30, -3, -38, -12, 0, -4, 24, 0, -23, 0, 30, -4, 0, 0, 0, -8, 0, 10, -4, 0, 10, 2, 0, 4, 0, 0, -32, -2, 6, -20, -4, 0, 4, 10, 0, 18, -18, -18, 0, 0, 0, 10, -36, 0, 0, -6, -9, -16, 6, 0, 12, 0, 0, -8, 0, -3, 16, 1, 0, 0, 6, 0, 8, 0, 0, 22, -18, 0, -24, 0, 0, -2, 34, 0, 0, -18, 0, 0, -20, 0, 8, 4, -24, -8, 0, 0, -10, -4, 0, 0, 0, 12, -6, -16, 0, -4, 30, 0, -20, 0, 0, 18, 0, 0, 25, 14, 0, -14, 8, 0, 16, 4, 0, -18, 0, 0, 0, -4, -48, 0, 6, 0, 26, 0, 0, 16, 28, -9, 40, 0, 0, 4, -14, 0, 0, -8, 0, 2, 36, 0, 40, 12, 0, 6, 0, -6, 0, 8, 0, 0, 8, 0, -50, 2, 0, -13, 18, 0, -12, 0, 0, -24, -16, -12, 0, 1, 0, 4, 0, 0, -38, -8, -12, -24, 0, 0, 32, 4, 0, 5, -14, 0, -8, -4, 0, -34, 10, 0, -22, 0, 12, 0, 0, 0, 0, 16, 0, -24, 12, 0, -12, 3, 0, -16, 5, 0, -34, 0, -27, 0, -16, 0, -18, -14, 0, 0, -32, -24, 28, 0, 0, -2, 44, 0, 0, 10, 18, 16, -4, 0, 20, 2, 0, 0, 0, 0, -34, 4, 0, 0, 34, 0, -10, -12, 0, 16, 0, 0, 36, 0, 0, -14, 42, 12, 30, -12, 0, 26, -32, 0, -64, 0, 0, 1, 0, 0, 22, 14, 0, 0, 6, -12, 0, 32, 0, -20, 18, 0, -8, 5, 0, -10, 0, 0, 0, 0, 0, 10, -6, 0, 6, 1, 0, -8, 0, 0, 16, -4, 0, 0, 38, 0, -16, -12, 0, -10, 20, 0, 38, 0, 0, 0, -4, 0, 0, -16, 0, -10, 6, 0, 1, 10, 0, -4, 0, 6, -5, -2, 0, -20, 0, 0, 30, -2, 0, -4, 10, 0, 0, 0, 0, 32, 0, 0, 0, 40, 0, 6, 16, 0, 0, -10, -36, 0, 0, 0, 10, -16, 0, 0, 36, 3, 24, 0, 0, 12, 26, 0, -16, 0, -36, -28, 8, 0, 0, 1, 0, -10, 6, 15, 8, -32, 0, 6, 0, 0, 44, 6, 30, 0, -48, 0, 24, -38, 0, -22, 12, 0, 0, 0, 0, 18, 0, 0, 10, 16, -36, 1, -6, 0, 4, 26, 0, 28, 0, 0, -22, 8, 0, 0, -48, 0, 0, -10, 0, 16, 60, 0, 0, 20, 0, -4, 54, -6, 0, 8, 0, 14, 2, 0, 5, 0, -12, 26, 0, 0, 20, -5, 0, 0, -4, 0, -18, -8, 0, -2, -2, 0, 0, 0, -30, 4, -18, 0, 0, -4, 0, 0, 0, 0, -16, 6, 0, 16, 0, 0, 22, 20, 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], [-1], [0], [1], [0], [0], [-1], [-1], [-3], [0], [-4], [0], [0], [1], [0], [1], [-4], [3], [4], [0], [0], [4], [0], [0], [-5], [0], [0], [-1], [-1], [0], [-6], [-1], [0], [4], [0], [-3], [-2], [-4], [0], [0], [-8], [0], [4], [-4], [0], [0], [2], [0], [1], [5], [0], [0], [-2], [0], [0], [1], [0], [1], [-10], [0], [-2], [6], [3], [1], [0], [0], [8], [-4], [0], [0], [16], [3], [0], [2], [0], [4], [4], [0], [-4], [0], [9], [8], [-6], [0], [0], [-4], [0], [4], [0], [0], [0], [0], [0], [-2], [0], [0], [12], [-1], [12], [-5]], 'ap': [[-1], [0], [0], [-1], [-4], [0], [-4], [4], [0], [-1], [-6], [-2], [-8], [4], [2], [-2], [-10], [-2], [8], [16], [0], [-4], [-6], [0], [12], [-10], [12], [4], [10], [-6], [16], [-12], [-2], [18], [-18], [-8], [-14], [4], [8], [-8], [16], [-16], [-12], [-14], [14], [-20], [-4], [-28], [6], [-22], [26], [8], [26], [-28], [6], [4], [-10], [-2], [-10], [-10], [6], [-22], [16], [-18], [-14], [18], [-12], [-2], [24], [-4], [34], [24], [14], [-10], [-4], [-16], [-26], [-32], [10], [4], [10], [-10], [-32], [-40], [16], [-12], [10], [38], [-18], [-16], [-28], [-14], [8], [-4], [-20], [-10], [36], [30], [-38], [10], [-32], [-18], [-36], [6], [12], [16], [-18], [34], [-20], [8], [-10], [-6], [30], [-20], [16], [6], [26], [28], [-14], [36], [40], [-50], [18], [-16], [-38], [-14], [-22], [12], [-34], [-18], [28], [44], [20], [-34], [34], [36], [42], [22], [18], [-6], [6], [38], [-16], [20], [38], [6], [30], [10], [0], [0], [10], [36], [24], [26], [44], [-48], [0], [-6], [-22], [-48], [60], [54], [20], [-4], [-2], [-18], [-16], [22]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 33554838, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '406.2.a.a', 'level': 406, 'maxp': 997, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [1, 3, 1, 1, 2, 1, 0, 4], 'Nk2': 1624, 'analytic_conductor': 3.241926322063984, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [406, 1, [59, 379], [1, 1]], 'conrey_index': 1, 'cusp_dim': 57, 'dim': 13, 'eis_dim': 7, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 33554838, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 3, 4], 'label': '406.2.a', 'level': 406, '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': True, 'level_primes': [2, 7, 29], 'level_radical': 406, 'mf_dim': 64, 'mf_new_dim': 13, 'num_forms': 7, 'plus_dim': 3, 'prim_orbit_index': 1, 'relative_dim': 13, 'sturm_bound': 120, 'trace_bound': 3, 'trace_display': [1, 8, 2, -1], 'traces': [13, 1, 8, 13, 2, 0, -1, 1, 13, -6, 4, 8, -6, 3, 0, 13, -6, 5, -8, 2, 0, 8, 0, 0, 15, -14, 8, -1, 5, 4, 0, 1, -20, -6, -6, 13, -2, 4, -16, -6, 18, -4, -20, 4, 6, 0, -8, 8, 13, 7, 0, -6, 10, 12, -8, 3, -48, 1, 60, 0, -38, -4, 3, 13, -8, -16, -4, -6, -16, 6, 40, 5, -30, -26, -40, -8, 12, -20, -48, 2, 37, -14, -12, 0, -44, 32, -4, 8, 10, -78, -14, 0, -68, -28, 32, 0, 10, 1, -20, 15, -14, -32, 16, -14, -8, -2, 4, 8, 2, -4, 0, -1, 26, 24, 16, 5, -58, 8, -2, 4, 5, -2, 8, 0, 48, 15, -8, 1, -4, -4, 16, -20, 8, 12, -16, -6, -38, 40, 4, -6, -4, 0, 32, 13, -6, 10, 8, -2, -14, 4, -8, 4, 50, 4, 16, -16, -78, -20, 32, -6, 0, 1, 12, 18, 12, 0, 48, -4, -25, -20, -40, -20, 30, -4, 9, 4, 8, 10, 60, 6, -46, 6, 40, 0, 28, -16, 72, -8, 0, 8, 16, 8, 18, -6, 64, 13, -34, 28, -8, 7, -56, -2, 3, 0, -20, -8, 0, -6, 64, -16, -4, 10, 64, 28, 16, 12, -8, 22, 24, -8, 84, 0, 8, 3, 51, -6, 20, -48, 10, -8, -8, 1, 54, -54, 64, 60, 68, 14, -40, 0, -10, -43, 112, -38, 2, 56, -48, -4, -56, 36, -32, 3, 24, 0, 40, 13, 54, 0, -14, -8, 13, 12, 24, -16, 72, 4, -16, -4, 2, -76, 24, -6, -24, -14, -28, -16, -2, 0, -24, 6, -34, -16, -52, 40, -104, -4, 6, 5, -17, -6, -88, -30, 10, 0, 56, -26, -108, 6, 40, -40, -20, 56, 40, -8, -52, 18, 0, 12, 40, 44, 8, -20, 30, -26, -78, -48, 14, 4, 4, 2, 16, 24, -40, 37, -126, 0, -216, -14, -8, 8, -52, -12, 38, -8, -32, 0, -54, 63, 160, -44, 44, 36, -1, 32, -40, 18, 12, -4, 50, 5, -160, 8, -22, 24, 48, 10, -48, 52, 80, -78, -39, 10, 0, -14, -116, 32, 24, 0, 178, -52, -6, -68, -78, 40, -112, -28, 2, 32, 52, 32, -72, 64, -8, 0, 48, 50, -172, 10, 46, 60, -48, 1, 80, -34, 8, -20, -142, 16, 16, 15, 94, -64, 0, -14, -118, 7, -80, -32, -46, -108, -56, 16, -12, 56, -88, -14, -40, 32, 28, -8, 62, -72, 64, -2, -90, -64, -42, 4, 52, 116, -152, 8, -14, -16, -16, 2, -24, 24, 88, -4, 13, -4, 4, 0, -52, 72, 8, -1, 106, -61, 24, 26, 24, -24, 4, 24, -70, 6, 8, 16, -78, -32, 16, 5, 44, 90, -104, -58, 4, -20, 136, 8, -44, 8, 32, -2, 54, 8, -16, 4, -44, -102, 40, 5, -52, -4, 88, -2, 92, -6, 36, 8, 14, 8, -136, 0, 0, 8, -28, 48, 104, 56, -32, 15, 84, -128, 120, -8, 66, -40, -26, 1, -96, 34, -72, -4, -44, -6, -16, -4, 118, -3, -116, 16, 24, -4, 16, -20, -11, -84, 156, 8, -20, 120, -80, 12, 64, 70, 4, -16, 22, 4, -48, -6, -40, 0, -20, -38, -22, 28, -20, 40, 16, -18, -104, 4, -58, 8, 32, -6, -72, -38, 16, -4, 92, 16, 23, 0, 50, 40, 20, 32, 192, 6, -32, 13, -78, 3, 40, -6, 20, -56, 40, 10, 228, 30, -20, 8, 16, 16, 104, -2, 46, 16, -20, -14, 144, -32, 72, 4, 50, -12, 4, -8, -26, 8, 0, 4, 4, -44, 48, 50, -22, 24, -96, 4, -102, 168, 56, 16, -40, 104, 14, -16, -71, 2, 144, -78, -60, -26, 144, -20, -4, -50, -72, 32, -6, 8, 272, -6, 154, 72, -28, 0, 188, 136, 32, 1, 48, -90, -40, 12, -34, 76, 208, 18, -14, 0, 60, 12, 6, 64, 88, 0, 40, -106, 8, 48, 72, -40, -8, -4, 94, -30, 112, -25, 18, -8, 6, -20, -72, -32, -148, -40, 76, 3, -160, -20, 32, 80, -92, 30, 44, -52, 80, -4, -36, -94, -88, 9, -86, -196, -40, 4, 156, 2, -58, 8, -30, -96, -112, 10, 40, 16, -136, 60, -40, -44, 0, 6, -40, -59, 200, -46, 31, -116, -168, 6, 97, 68, -88, 40, -174, -72, 0, 0, -144, 114, -60, 28, -8, 18, -96, -16, 0, -10, 4, 72, 52, 68, 56, -8, -44, -14, -200, 0, -122, -20, 0, 8, 114, -24, -22, 16, -4, -88, -104, 8, 66, -24, 8, 18, -22, -12, 152, -6, 56, -66, -104, 64, 56, -64, 32, 13, -12, 72, 20, -34, 156, 124, 54, 28, -4, -22, -56, -8, 42, -56, -32, 7, 74, -22, -120, -56, -24, -28, 192, -2, 10, -94, -4, 3, 36, -24, 168, 0, -32, 34, -54, -20, -126, -152, -40, -8, -112, 8, 28, 0, 50, -112, -136, -6, -6, 64, 104, 64, -252, -64, -56, -16, 13, -146, -128, -4, -54, -16, -21, 10, 152, -58, -48, 64, 42, -54, -192, 28, -66, 88, -56, 16, 96, 104, -24, 12, 132, 106, -16, -8, -100, 4, 112, 22, -406, -136, 12, 24, -30, -32, -40, -8, -62, 5, 188, 84, -160, 4, -240, 0, 112, -20, -156, 8, -32, -140, 64, 3, -104, -6, 4, 51, 4, -200, -72, -6, -120, -128, 52, 20, 10, 4, -216, -48, 8, -46, 88, 10, -32, -120, 0, -8, -52, -90, -184, -8, 146, 8, 104, 1, -166, 272, -8, 54, 32, 32, -168, -54, 146, -4, 88, 64, -110, -24, 328, 60, -16, -48, 84, 68, -52, 36, -72, 14, 126, -162, 48, -40, -36, 20, 22, 0, -23, -28, -132, -10, 4, 8, -176, -43, -72, 132, 232, 112, 12, -56, -64, -38, 78, 272, 112, 2, -50, -56, -64, 56, -84, -18, -24, -48, 72, 0, -16, -4, -4, 56, 64, -56, -78, -68, 184, 36], '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: 304529
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '406.2.a.a', 'source_level': 406, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '406.2.a.a', 'target_level': 406, 'twist_class_label': '406.2.a.a', 'twist_class_level': 406, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 304530
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '406.2.a.a', 'source_level': 406, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '2842.2.a.c', 'target_level': 2842, 'twist_class_label': '406.2.a.a', 'twist_class_level': 406, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 304531
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '406.2.a.a', 'source_level': 406, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '3248.2.a.i', 'target_level': 3248, 'twist_class_label': '406.2.a.a', 'twist_class_level': 406, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 304532
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '406.2.a.a', 'source_level': 406, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 20, 'target_is_minimal': False, 'target_label': '3654.2.a.t', 'target_level': 3654, 'twist_class_label': '406.2.a.a', 'twist_class_level': 406, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 847025
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 2}
  • id: 847026
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 3}
  • id: 847027
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 5}
  • id: 847028
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 7}
  • id: 847029
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 11}
  • id: 847030
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 13}
  • id: 847031
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 17}
  • id: 847032
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 19}
  • id: 847033
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 23}
  • id: 847034
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 29}
  • id: 847035
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 31}
  • id: 847036
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 37}
  • id: 847037
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 41}
  • id: 847038
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 43}
  • id: 847039
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 47}
  • id: 847040
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 53}
  • id: 847041
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 59}
  • id: 847042
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 61}
  • id: 847043
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 67}
  • id: 847044
    {'charpoly_factorization': [[[-16, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 71}
  • id: 847045
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 73}
  • id: 847046
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 79}
  • id: 847047
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 83}
  • id: 847048
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 89}
  • id: 847049
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 33554838, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 1, 'label': '406.2.a.a', 'level': 406, '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

  
  
  • id: 99846
    {'hecke_orbit_code': 33554838, 'n': 1, 'trace_an': 1}
  • id: 99847
    {'hecke_orbit_code': 33554838, 'n': 2, 'trace_an': -1}
  • id: 99848
    {'hecke_orbit_code': 33554838, 'n': 3, 'trace_an': 0}
  • id: 99849
    {'hecke_orbit_code': 33554838, 'n': 4, 'trace_an': 1}
  • id: 99850
    {'hecke_orbit_code': 33554838, 'n': 5, 'trace_an': 0}
  • id: 99851
    {'hecke_orbit_code': 33554838, 'n': 6, 'trace_an': 0}
  • id: 99852
    {'hecke_orbit_code': 33554838, 'n': 7, 'trace_an': -1}
  • id: 99853
    {'hecke_orbit_code': 33554838, 'n': 8, 'trace_an': -1}
  • id: 99854
    {'hecke_orbit_code': 33554838, 'n': 9, 'trace_an': -3}
  • id: 99855
    {'hecke_orbit_code': 33554838, 'n': 10, 'trace_an': 0}
  • id: 99856
    {'hecke_orbit_code': 33554838, 'n': 11, 'trace_an': -4}
  • id: 99857
    {'hecke_orbit_code': 33554838, 'n': 12, 'trace_an': 0}
  • id: 99858
    {'hecke_orbit_code': 33554838, 'n': 13, 'trace_an': 0}
  • id: 99859
    {'hecke_orbit_code': 33554838, 'n': 14, 'trace_an': 1}
  • id: 99860
    {'hecke_orbit_code': 33554838, 'n': 15, 'trace_an': 0}
  • id: 99861
    {'hecke_orbit_code': 33554838, 'n': 16, 'trace_an': 1}
  • id: 99862
    {'hecke_orbit_code': 33554838, 'n': 17, 'trace_an': -4}
  • id: 99863
    {'hecke_orbit_code': 33554838, 'n': 18, 'trace_an': 3}
  • id: 99864
    {'hecke_orbit_code': 33554838, 'n': 19, 'trace_an': 4}
  • id: 99865
    {'hecke_orbit_code': 33554838, 'n': 20, 'trace_an': 0}
  • id: 99866
    {'hecke_orbit_code': 33554838, 'n': 21, 'trace_an': 0}
  • id: 99867
    {'hecke_orbit_code': 33554838, 'n': 22, 'trace_an': 4}
  • id: 99868
    {'hecke_orbit_code': 33554838, 'n': 23, 'trace_an': 0}
  • id: 99869
    {'hecke_orbit_code': 33554838, 'n': 24, 'trace_an': 0}
  • id: 99870
    {'hecke_orbit_code': 33554838, 'n': 25, 'trace_an': -5}
  • id: 99871
    {'hecke_orbit_code': 33554838, 'n': 26, 'trace_an': 0}
  • id: 99872
    {'hecke_orbit_code': 33554838, 'n': 27, 'trace_an': 0}
  • id: 99873
    {'hecke_orbit_code': 33554838, 'n': 28, 'trace_an': -1}
  • id: 99874
    {'hecke_orbit_code': 33554838, 'n': 29, 'trace_an': -1}
  • id: 99875
    {'hecke_orbit_code': 33554838, 'n': 30, 'trace_an': 0}
  • id: 99876
    {'hecke_orbit_code': 33554838, 'n': 31, 'trace_an': -6}
  • id: 99877
    {'hecke_orbit_code': 33554838, 'n': 32, 'trace_an': -1}
  • id: 99878
    {'hecke_orbit_code': 33554838, 'n': 33, 'trace_an': 0}
  • id: 99879
    {'hecke_orbit_code': 33554838, 'n': 34, 'trace_an': 4}
  • id: 99880
    {'hecke_orbit_code': 33554838, 'n': 35, 'trace_an': 0}
  • id: 99881
    {'hecke_orbit_code': 33554838, 'n': 36, 'trace_an': -3}
  • id: 99882
    {'hecke_orbit_code': 33554838, 'n': 37, 'trace_an': -2}
  • id: 99883
    {'hecke_orbit_code': 33554838, 'n': 38, 'trace_an': -4}
  • id: 99884
    {'hecke_orbit_code': 33554838, 'n': 39, 'trace_an': 0}
  • id: 99885
    {'hecke_orbit_code': 33554838, 'n': 40, 'trace_an': 0}
  • id: 99886
    {'hecke_orbit_code': 33554838, 'n': 41, 'trace_an': -8}
  • id: 99887
    {'hecke_orbit_code': 33554838, 'n': 42, 'trace_an': 0}
  • id: 99888
    {'hecke_orbit_code': 33554838, 'n': 43, 'trace_an': 4}
  • id: 99889
    {'hecke_orbit_code': 33554838, 'n': 44, 'trace_an': -4}
  • id: 99890
    {'hecke_orbit_code': 33554838, 'n': 45, 'trace_an': 0}
  • id: 99891
    {'hecke_orbit_code': 33554838, 'n': 46, 'trace_an': 0}
  • id: 99892
    {'hecke_orbit_code': 33554838, 'n': 47, 'trace_an': 2}
  • id: 99893
    {'hecke_orbit_code': 33554838, 'n': 48, 'trace_an': 0}
  • id: 99894
    {'hecke_orbit_code': 33554838, 'n': 49, 'trace_an': 1}
  • id: 99895
    {'hecke_orbit_code': 33554838, 'n': 50, 'trace_an': 5}
  • id: 99896
    {'hecke_orbit_code': 33554838, 'n': 51, 'trace_an': 0}
  • id: 99897
    {'hecke_orbit_code': 33554838, 'n': 52, 'trace_an': 0}
  • id: 99898
    {'hecke_orbit_code': 33554838, 'n': 53, 'trace_an': -2}
  • id: 99899
    {'hecke_orbit_code': 33554838, 'n': 54, 'trace_an': 0}
  • id: 99900
    {'hecke_orbit_code': 33554838, 'n': 55, 'trace_an': 0}
  • id: 99901
    {'hecke_orbit_code': 33554838, 'n': 56, 'trace_an': 1}
  • id: 99902
    {'hecke_orbit_code': 33554838, 'n': 57, 'trace_an': 0}
  • id: 99903
    {'hecke_orbit_code': 33554838, 'n': 58, 'trace_an': 1}
  • id: 99904
    {'hecke_orbit_code': 33554838, 'n': 59, 'trace_an': -10}
  • id: 99905
    {'hecke_orbit_code': 33554838, 'n': 60, 'trace_an': 0}
  • id: 99906
    {'hecke_orbit_code': 33554838, 'n': 61, 'trace_an': -2}
  • id: 99907
    {'hecke_orbit_code': 33554838, 'n': 62, 'trace_an': 6}
  • id: 99908
    {'hecke_orbit_code': 33554838, 'n': 63, 'trace_an': 3}
  • id: 99909
    {'hecke_orbit_code': 33554838, 'n': 64, 'trace_an': 1}
  • id: 99910
    {'hecke_orbit_code': 33554838, 'n': 65, 'trace_an': 0}
  • id: 99911
    {'hecke_orbit_code': 33554838, 'n': 66, 'trace_an': 0}
  • id: 99912
    {'hecke_orbit_code': 33554838, 'n': 67, 'trace_an': 8}
  • id: 99913
    {'hecke_orbit_code': 33554838, 'n': 68, 'trace_an': -4}
  • id: 99914
    {'hecke_orbit_code': 33554838, 'n': 69, 'trace_an': 0}
  • id: 99915
    {'hecke_orbit_code': 33554838, 'n': 70, 'trace_an': 0}
  • id: 99916
    {'hecke_orbit_code': 33554838, 'n': 71, 'trace_an': 16}
  • id: 99917
    {'hecke_orbit_code': 33554838, 'n': 72, 'trace_an': 3}
  • id: 99918
    {'hecke_orbit_code': 33554838, 'n': 73, 'trace_an': 0}
  • id: 99919
    {'hecke_orbit_code': 33554838, 'n': 74, 'trace_an': 2}
  • id: 99920
    {'hecke_orbit_code': 33554838, 'n': 75, 'trace_an': 0}
  • id: 99921
    {'hecke_orbit_code': 33554838, 'n': 76, 'trace_an': 4}
  • id: 99922
    {'hecke_orbit_code': 33554838, 'n': 77, 'trace_an': 4}
  • id: 99923
    {'hecke_orbit_code': 33554838, 'n': 78, 'trace_an': 0}
  • id: 99924
    {'hecke_orbit_code': 33554838, 'n': 79, 'trace_an': -4}
  • id: 99925
    {'hecke_orbit_code': 33554838, 'n': 80, 'trace_an': 0}
  • id: 99926
    {'hecke_orbit_code': 33554838, 'n': 81, 'trace_an': 9}
  • id: 99927
    {'hecke_orbit_code': 33554838, 'n': 82, 'trace_an': 8}
  • id: 99928
    {'hecke_orbit_code': 33554838, 'n': 83, 'trace_an': -6}
  • id: 99929
    {'hecke_orbit_code': 33554838, 'n': 84, 'trace_an': 0}
  • id: 99930
    {'hecke_orbit_code': 33554838, 'n': 85, 'trace_an': 0}
  • id: 99931
    {'hecke_orbit_code': 33554838, 'n': 86, 'trace_an': -4}
  • id: 99932
    {'hecke_orbit_code': 33554838, 'n': 87, 'trace_an': 0}
  • id: 99933
    {'hecke_orbit_code': 33554838, 'n': 88, 'trace_an': 4}
  • id: 99934
    {'hecke_orbit_code': 33554838, 'n': 89, 'trace_an': 0}
  • id: 99935
    {'hecke_orbit_code': 33554838, 'n': 90, 'trace_an': 0}
  • id: 99936
    {'hecke_orbit_code': 33554838, 'n': 91, 'trace_an': 0}
  • id: 99937
    {'hecke_orbit_code': 33554838, 'n': 92, 'trace_an': 0}
  • id: 99938
    {'hecke_orbit_code': 33554838, 'n': 93, 'trace_an': 0}
  • id: 99939
    {'hecke_orbit_code': 33554838, 'n': 94, 'trace_an': -2}
  • id: 99940
    {'hecke_orbit_code': 33554838, 'n': 95, 'trace_an': 0}
  • id: 99941
    {'hecke_orbit_code': 33554838, 'n': 96, 'trace_an': 0}
  • id: 99942
    {'hecke_orbit_code': 33554838, 'n': 97, 'trace_an': 12}
  • id: 99943
    {'hecke_orbit_code': 33554838, 'n': 98, 'trace_an': -1}
  • id: 99944
    {'hecke_orbit_code': 33554838, 'n': 99, 'trace_an': 12}
  • id: 99945
    {'hecke_orbit_code': 33554838, 'n': 100, 'trace_an': -5}
  • id: 99946
    {'hecke_orbit_code': 33554838, 'n': 101, 'trace_an': -10}
  • id: 99947
    {'hecke_orbit_code': 33554838, 'n': 103, 'trace_an': 12}
  • id: 99948
    {'hecke_orbit_code': 33554838, 'n': 107, 'trace_an': 4}
  • id: 99949
    {'hecke_orbit_code': 33554838, 'n': 109, 'trace_an': 10}
  • id: 99950
    {'hecke_orbit_code': 33554838, 'n': 113, 'trace_an': -6}
  • id: 99951
    {'hecke_orbit_code': 33554838, 'n': 121, 'trace_an': 5}
  • id: 99952
    {'hecke_orbit_code': 33554838, 'n': 125, 'trace_an': 0}
  • id: 99953
    {'hecke_orbit_code': 33554838, 'n': 127, 'trace_an': 16}
  • id: 99954
    {'hecke_orbit_code': 33554838, 'n': 128, 'trace_an': -1}
  • id: 99955
    {'hecke_orbit_code': 33554838, 'n': 131, 'trace_an': -12}
  • id: 99956
    {'hecke_orbit_code': 33554838, 'n': 137, 'trace_an': -2}
  • id: 99957
    {'hecke_orbit_code': 33554838, 'n': 139, 'trace_an': 18}
  • id: 99958
    {'hecke_orbit_code': 33554838, 'n': 149, 'trace_an': -18}
  • id: 99959
    {'hecke_orbit_code': 33554838, 'n': 151, 'trace_an': -8}
  • id: 99960
    {'hecke_orbit_code': 33554838, 'n': 157, 'trace_an': -14}
  • id: 99961
    {'hecke_orbit_code': 33554838, 'n': 163, 'trace_an': 4}
  • id: 99962
    {'hecke_orbit_code': 33554838, 'n': 167, 'trace_an': 8}
  • id: 99963
    {'hecke_orbit_code': 33554838, 'n': 169, 'trace_an': -13}
  • id: 99964
    {'hecke_orbit_code': 33554838, 'n': 173, 'trace_an': -8}
  • id: 99965
    {'hecke_orbit_code': 33554838, 'n': 179, 'trace_an': 16}
  • id: 99966
    {'hecke_orbit_code': 33554838, 'n': 181, 'trace_an': -16}
  • id: 99967
    {'hecke_orbit_code': 33554838, 'n': 191, 'trace_an': -12}
  • id: 99968
    {'hecke_orbit_code': 33554838, 'n': 193, 'trace_an': -14}
  • id: 99969
    {'hecke_orbit_code': 33554838, 'n': 197, 'trace_an': 14}
  • id: 99970
    {'hecke_orbit_code': 33554838, 'n': 199, 'trace_an': -20}
  • id: 99971
    {'hecke_orbit_code': 33554838, 'n': 211, 'trace_an': -4}
  • id: 99972
    {'hecke_orbit_code': 33554838, 'n': 223, 'trace_an': -28}
  • id: 99973
    {'hecke_orbit_code': 33554838, 'n': 227, 'trace_an': 6}
  • id: 99974
    {'hecke_orbit_code': 33554838, 'n': 229, 'trace_an': -22}
  • id: 99975
    {'hecke_orbit_code': 33554838, 'n': 233, 'trace_an': 26}
  • id: 99976
    {'hecke_orbit_code': 33554838, 'n': 239, 'trace_an': 8}
  • id: 99977
    {'hecke_orbit_code': 33554838, 'n': 241, 'trace_an': 26}
  • id: 99978
    {'hecke_orbit_code': 33554838, 'n': 243, 'trace_an': 0}
  • id: 99979
    {'hecke_orbit_code': 33554838, 'n': 251, 'trace_an': -28}
  • id: 99980
    {'hecke_orbit_code': 33554838, 'n': 256, 'trace_an': 1}
  • id: 99981
    {'hecke_orbit_code': 33554838, 'n': 257, 'trace_an': 6}
  • id: 99982
    {'hecke_orbit_code': 33554838, 'n': 263, 'trace_an': 4}
  • id: 99983
    {'hecke_orbit_code': 33554838, 'n': 269, 'trace_an': -10}
  • id: 99984
    {'hecke_orbit_code': 33554838, 'n': 271, 'trace_an': -2}
  • id: 99985
    {'hecke_orbit_code': 33554838, 'n': 277, 'trace_an': -10}
  • id: 99986
    {'hecke_orbit_code': 33554838, 'n': 281, 'trace_an': -10}
  • id: 99987
    {'hecke_orbit_code': 33554838, 'n': 283, 'trace_an': 6}
  • id: 99988
    {'hecke_orbit_code': 33554838, 'n': 289, 'trace_an': -1}
  • id: 99989
    {'hecke_orbit_code': 33554838, 'n': 293, 'trace_an': -22}
  • id: 99990
    {'hecke_orbit_code': 33554838, 'n': 307, 'trace_an': 16}
  • id: 99991
    {'hecke_orbit_code': 33554838, 'n': 311, 'trace_an': -18}
  • id: 99992
    {'hecke_orbit_code': 33554838, 'n': 313, 'trace_an': -14}
  • id: 99993
    {'hecke_orbit_code': 33554838, 'n': 317, 'trace_an': 18}
  • id: 99994
    {'hecke_orbit_code': 33554838, 'n': 331, 'trace_an': -12}
  • id: 99995
    {'hecke_orbit_code': 33554838, 'n': 337, 'trace_an': -2}
  • id: 99996
    {'hecke_orbit_code': 33554838, 'n': 343, 'trace_an': -1}
  • id: 99997
    {'hecke_orbit_code': 33554838, 'n': 347, 'trace_an': 24}
  • id: 99998
    {'hecke_orbit_code': 33554838, 'n': 349, 'trace_an': -4}
  • id: 99999
    {'hecke_orbit_code': 33554838, 'n': 353, 'trace_an': 34}
  • id: 100000
    {'hecke_orbit_code': 33554838, 'n': 359, 'trace_an': 24}
  • id: 100001
    {'hecke_orbit_code': 33554838, 'n': 361, 'trace_an': -3}
  • id: 100002
    {'hecke_orbit_code': 33554838, 'n': 367, 'trace_an': 14}
  • id: 100003
    {'hecke_orbit_code': 33554838, 'n': 373, 'trace_an': -10}
  • id: 100004
    {'hecke_orbit_code': 33554838, 'n': 379, 'trace_an': -4}
  • id: 100005
    {'hecke_orbit_code': 33554838, 'n': 383, 'trace_an': -16}
  • id: 100006
    {'hecke_orbit_code': 33554838, 'n': 389, 'trace_an': -26}
  • id: 100007
    {'hecke_orbit_code': 33554838, 'n': 397, 'trace_an': -32}
  • id: 100008
    {'hecke_orbit_code': 33554838, 'n': 401, 'trace_an': 10}
  • id: 100009
    {'hecke_orbit_code': 33554838, 'n': 409, 'trace_an': 4}
  • id: 100010
    {'hecke_orbit_code': 33554838, 'n': 419, 'trace_an': 10}
  • id: 100011
    {'hecke_orbit_code': 33554838, 'n': 421, 'trace_an': -10}
  • id: 100012
    {'hecke_orbit_code': 33554838, 'n': 431, 'trace_an': -32}
  • id: 100013
    {'hecke_orbit_code': 33554838, 'n': 433, 'trace_an': -40}
  • id: 100014
    {'hecke_orbit_code': 33554838, 'n': 439, 'trace_an': 16}
  • id: 100015
    {'hecke_orbit_code': 33554838, 'n': 443, 'trace_an': -12}
  • id: 100016
    {'hecke_orbit_code': 33554838, 'n': 449, 'trace_an': 10}
  • id: 100017
    {'hecke_orbit_code': 33554838, 'n': 457, 'trace_an': 38}
  • id: 100018
    {'hecke_orbit_code': 33554838, 'n': 461, 'trace_an': -18}
  • id: 100019
    {'hecke_orbit_code': 33554838, 'n': 463, 'trace_an': -16}
  • id: 100020
    {'hecke_orbit_code': 33554838, 'n': 467, 'trace_an': -28}
  • id: 100021
    {'hecke_orbit_code': 33554838, 'n': 479, 'trace_an': -14}
  • id: 100022
    {'hecke_orbit_code': 33554838, 'n': 487, 'trace_an': 8}
  • id: 100023
    {'hecke_orbit_code': 33554838, 'n': 491, 'trace_an': -4}
  • id: 100024
    {'hecke_orbit_code': 33554838, 'n': 499, 'trace_an': -20}
  • id: 100025
    {'hecke_orbit_code': 33554838, 'n': 503, 'trace_an': -10}
  • id: 100026
    {'hecke_orbit_code': 33554838, 'n': 509, 'trace_an': 36}
  • id: 100027
    {'hecke_orbit_code': 33554838, 'n': 512, 'trace_an': -1}
  • id: 100028
    {'hecke_orbit_code': 33554838, 'n': 521, 'trace_an': 30}
  • id: 100029
    {'hecke_orbit_code': 33554838, 'n': 523, 'trace_an': -38}
  • id: 100030
    {'hecke_orbit_code': 33554838, 'n': 529, 'trace_an': -23}
  • id: 100031
    {'hecke_orbit_code': 33554838, 'n': 541, 'trace_an': 10}
  • id: 100032
    {'hecke_orbit_code': 33554838, 'n': 547, 'trace_an': -32}
  • id: 100033
    {'hecke_orbit_code': 33554838, 'n': 557, 'trace_an': -18}
  • id: 100034
    {'hecke_orbit_code': 33554838, 'n': 563, 'trace_an': -36}
  • id: 100035
    {'hecke_orbit_code': 33554838, 'n': 569, 'trace_an': 6}
  • id: 100036
    {'hecke_orbit_code': 33554838, 'n': 571, 'trace_an': 12}
  • id: 100037
    {'hecke_orbit_code': 33554838, 'n': 577, 'trace_an': 16}
  • id: 100038
    {'hecke_orbit_code': 33554838, 'n': 587, 'trace_an': -18}
  • id: 100039
    {'hecke_orbit_code': 33554838, 'n': 593, 'trace_an': 34}
  • id: 100040
    {'hecke_orbit_code': 33554838, 'n': 599, 'trace_an': -20}
  • id: 100041
    {'hecke_orbit_code': 33554838, 'n': 601, 'trace_an': 8}
  • id: 100042
    {'hecke_orbit_code': 33554838, 'n': 607, 'trace_an': -10}
  • id: 100043
    {'hecke_orbit_code': 33554838, 'n': 613, 'trace_an': -6}
  • id: 100044
    {'hecke_orbit_code': 33554838, 'n': 617, 'trace_an': 30}
  • id: 100045
    {'hecke_orbit_code': 33554838, 'n': 619, 'trace_an': -20}
  • id: 100046
    {'hecke_orbit_code': 33554838, 'n': 625, 'trace_an': 25}
  • id: 100047
    {'hecke_orbit_code': 33554838, 'n': 631, 'trace_an': 16}
  • id: 100048
    {'hecke_orbit_code': 33554838, 'n': 641, 'trace_an': 6}
  • id: 100049
    {'hecke_orbit_code': 33554838, 'n': 643, 'trace_an': 26}
  • id: 100050
    {'hecke_orbit_code': 33554838, 'n': 647, 'trace_an': 28}
  • id: 100051
    {'hecke_orbit_code': 33554838, 'n': 653, 'trace_an': -14}
  • id: 100052
    {'hecke_orbit_code': 33554838, 'n': 659, 'trace_an': 36}
  • id: 100053
    {'hecke_orbit_code': 33554838, 'n': 661, 'trace_an': 40}
  • id: 100054
    {'hecke_orbit_code': 33554838, 'n': 673, 'trace_an': -50}
  • id: 100055
    {'hecke_orbit_code': 33554838, 'n': 677, 'trace_an': 18}
  • id: 100056
    {'hecke_orbit_code': 33554838, 'n': 683, 'trace_an': -16}
  • id: 100057
    {'hecke_orbit_code': 33554838, 'n': 691, 'trace_an': -38}
  • id: 100058
    {'hecke_orbit_code': 33554838, 'n': 701, 'trace_an': -14}
  • id: 100059
    {'hecke_orbit_code': 33554838, 'n': 709, 'trace_an': -22}
  • id: 100060
    {'hecke_orbit_code': 33554838, 'n': 719, 'trace_an': 12}
  • id: 100061
    {'hecke_orbit_code': 33554838, 'n': 727, 'trace_an': -34}
  • id: 100062
    {'hecke_orbit_code': 33554838, 'n': 729, 'trace_an': -27}
  • id: 100063
    {'hecke_orbit_code': 33554838, 'n': 733, 'trace_an': -18}
  • id: 100064
    {'hecke_orbit_code': 33554838, 'n': 739, 'trace_an': 28}
  • id: 100065
    {'hecke_orbit_code': 33554838, 'n': 743, 'trace_an': 44}
  • id: 100066
    {'hecke_orbit_code': 33554838, 'n': 751, 'trace_an': 20}
  • id: 100067
    {'hecke_orbit_code': 33554838, 'n': 757, 'trace_an': -34}
  • id: 100068
    {'hecke_orbit_code': 33554838, 'n': 761, 'trace_an': 34}
  • id: 100069
    {'hecke_orbit_code': 33554838, 'n': 769, 'trace_an': 36}
  • id: 100070
    {'hecke_orbit_code': 33554838, 'n': 773, 'trace_an': 42}
  • id: 100071
    {'hecke_orbit_code': 33554838, 'n': 787, 'trace_an': 22}
  • id: 100072
    {'hecke_orbit_code': 33554838, 'n': 797, 'trace_an': 18}
  • id: 100073
    {'hecke_orbit_code': 33554838, 'n': 809, 'trace_an': -6}
  • id: 100074
    {'hecke_orbit_code': 33554838, 'n': 811, 'trace_an': 6}
  • id: 100075
    {'hecke_orbit_code': 33554838, 'n': 821, 'trace_an': 38}
  • id: 100076
    {'hecke_orbit_code': 33554838, 'n': 823, 'trace_an': -16}
  • id: 100077
    {'hecke_orbit_code': 33554838, 'n': 827, 'trace_an': 20}
  • id: 100078
    {'hecke_orbit_code': 33554838, 'n': 829, 'trace_an': 38}
  • id: 100079
    {'hecke_orbit_code': 33554838, 'n': 839, 'trace_an': 6}
  • id: 100080
    {'hecke_orbit_code': 33554838, 'n': 841, 'trace_an': 1}
  • id: 100081
    {'hecke_orbit_code': 33554838, 'n': 853, 'trace_an': 30}
  • id: 100082
    {'hecke_orbit_code': 33554838, 'n': 857, 'trace_an': 10}
  • id: 100083
    {'hecke_orbit_code': 33554838, 'n': 859, 'trace_an': 0}
  • id: 100084
    {'hecke_orbit_code': 33554838, 'n': 863, 'trace_an': 0}
  • id: 100085
    {'hecke_orbit_code': 33554838, 'n': 877, 'trace_an': 10}
  • id: 100086
    {'hecke_orbit_code': 33554838, 'n': 881, 'trace_an': 36}
  • id: 100087
    {'hecke_orbit_code': 33554838, 'n': 883, 'trace_an': 24}
  • id: 100088
    {'hecke_orbit_code': 33554838, 'n': 887, 'trace_an': 26}
  • id: 100089
    {'hecke_orbit_code': 33554838, 'n': 907, 'trace_an': 44}
  • id: 100090
    {'hecke_orbit_code': 33554838, 'n': 911, 'trace_an': -48}
  • id: 100091
    {'hecke_orbit_code': 33554838, 'n': 919, 'trace_an': 0}
  • id: 100092
    {'hecke_orbit_code': 33554838, 'n': 929, 'trace_an': -6}
  • id: 100093
    {'hecke_orbit_code': 33554838, 'n': 937, 'trace_an': -22}
  • id: 100094
    {'hecke_orbit_code': 33554838, 'n': 941, 'trace_an': -48}
  • id: 100095
    {'hecke_orbit_code': 33554838, 'n': 947, 'trace_an': 60}
  • id: 100096
    {'hecke_orbit_code': 33554838, 'n': 953, 'trace_an': 54}
  • id: 100097
    {'hecke_orbit_code': 33554838, 'n': 961, 'trace_an': 5}
  • id: 100098
    {'hecke_orbit_code': 33554838, 'n': 967, 'trace_an': 20}
  • id: 100099
    {'hecke_orbit_code': 33554838, 'n': 971, 'trace_an': -4}
  • id: 100100
    {'hecke_orbit_code': 33554838, 'n': 977, 'trace_an': -2}
  • id: 100101
    {'hecke_orbit_code': 33554838, 'n': 983, 'trace_an': -18}
  • id: 100102
    {'hecke_orbit_code': 33554838, 'n': 991, 'trace_an': -16}
  • id: 100103
    {'hecke_orbit_code': 33554838, 'n': 997, 'trace_an': 22}