Newform data - 408.2.a.c

Formats: - HTML - YAML - JSON - 2024-06-03T20:54:00.712562

• 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': 1632, 'analytic_conductor': 3.2578964024682397, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [17, 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': [408, 1, [103, 205, 137, 241], [1, 1, 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': [[5, [0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199288295832, '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': '408.2.a.c', 'level': 408, '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, 17], 'level_radical': 102, 'minimal_twist': '408.2.a.c', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{3}+2q^{7}+q^{9}+2q^{13}-q^{17}+\\cdots', 'related_objects': ['EllipticCurve/Q/408/c'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '408.2.a', 'trace_display': [0, 1, 0, 2], 'trace_hash': 2110014172124380148, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.016', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.039', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.106', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.131', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.015', 'prec': 17}, 'traces': [1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 0, 0, -1, 0, 4, 0, 2, 0, 2, 0, -5, 0, 1, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, -10, 0, 4, 0, 0, 0, -4, 0, -3, 0, -1, 0, -2, 0, 0, 0, 4, 0, -4, 0, 0, 0, 2, 0, 0, 0, 4, 0, 2, 0, -2, 0, -14, 0, -5, 0, 0, 0, 6, 0, 1, 0, -12, 0, 0, 0, 0, 0, -2, 0, 4, 0, 6, 0, 0, 0, -2, 0, 0, 0, -2, 0, 4, 0, 0, 0, -16, 0, -4, 0, 0, 0, -6, 0, 0, 0, 2, 0, -2, 0, -11, 0, -10, 0, 0, 0, -16, 0, 4, 0, 0, 0, 8, 0, 0, 0, 10, 0, 8, 0, -4, 0, 0, 0, 0, 0, -3, 0, 18, 0, -16, 0, -1, 0, 0, 0, 22, 0, -2, 0, 4, 0, 4, 0, 0, 0, 10, 0, -9, 0, 4, 0, 16, 0, -10, 0, -4, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, -12, 0, 14, 0, 0, 0, 20, 0, 18, 0, 4, 0, 0, 0, 0, 0, 2, 0, 0, 0, 8, 0, -2, 0, 0, 0, 12, 0, -14, 0, -2, 0, -20, 0, -5, 0, 28, 0, -2, 0, 0, 0, 18, 0, 0, 0, 6, 0, 20, 0, -10, 0, 1, 0, 0, 0, 8, 0, -12, 0, -12, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 12, 0, 0, 0, -2, 0, 24, 0, -24, 0, 4, 0, 0, 0, -28, 0, 6, 0, -18, 0, 32, 0, 0, 0, -20, 0, 1, 0, -2, 0, -6, 0, 0, 0, 0, 0, 4, 0, 8, 0, -2, 0, 0, 0, 12, 0, 4, 0, 10, 0, -18, 0, 0, 0, -4, 0, 0, 0, -16, 0, -4, 0, -10, 0, -4, 0, -8, 0, -20, 0, 0, 0, 0, 0, 26, 0, -6, 0, 0, 0, -20, 0, 0, 0, -12, 0, -22, 0, 2, 0, 30, 0, 0, 0, -2, 0, 16, 0, -3, 0, -11, 0, 0, 0, -26, 0, -10, 0, -4, 0, -6, 0, 0, 0, 0, 0, -12, 0, -16, 0, 36, 0, 0, 0, 4, 0, -38, 0, -2, 0, 0, 0, 0, 0, 8, 0, 8, 0, -18, 0, 12, 0, 0, 0, 0, 0, 6, 0, 10, 0, -8, 0, 0, 0, 8, 0, 12, 0, 10, 0, -4, 0, 5, 0, 0, 0, 0, 0, -22, 0, -18, 0, 0, 0, 8, 0, 10, 0, -3, 0, 4, 0, 0, 0, 18, 0, -10, 0, 0, 0, -16, 0, 0, 0, 22, 0, -1, 0, -26, 0, -20, 0, 0, 0, -12, 0, 8, 0, 22, 0, 0, 0, -20, 0, -2, 0, 30, 0, 0, 0, 4, 0, 0, 0, 38, 0, 4, 0, -28, 0, 0, 0, 0, 0, -4, 0, 32, 0, 10, 0, 2, 0, 0, 0, -9, 0, -30, 0, -28, 0, 4, 0, 0, 0, 0, 0, 16, 0, -26, 0, -4, 0, -10, 0, -6, 0, -19, 0, -4, 0, -20, 0, 0, 0, 12, 0, 0, 0, 40, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 12, 0, 0, 0, 30, 0, 8, 0, 0, 0, 28, 0, 0, 0, 2, 0, 10, 0, -12, 0, -12, 0, -10, 0, 34, 0, 14, 0, -24, 0, 0, 0, 0, 0, -4, 0, 24, 0, 20, 0, 18, 0, 0, 0, 18, 0, 0, 0, 26, 0, 4, 0, 0, 0, 22, 0, 0, 0, -8, 0, -34, 0, 0, 0, 34, 0, 4, 0, 2, 0, -4, 0, 25, 0, 0, 0, 0, 0, -28, 0, 8, 0, 0, 0, -6, 0, -2, 0, -18, 0, 28, 0, 0, 0, 36, 0, 0, 0, 12, 0, -24, 0, 0, 0, -14, 0, -20, 0, 26, 0, -2, 0, 0, 0, 0, 0, -20, 0, 0, 0, 14, 0, -5, 0, 20, 0, -4, 0, 28, 0, 4, 0, 0, 0, -2, 0, -4, 0, 32, 0, 0, 0, 0, 0, 10, 0, 18, 0, -18, 0, 0, 0, 0, 0, -4, 0, -4, 0, 6, 0, 12, 0, 0, 0, 20, 0, -34, 0, 8, 0, -10, 0, 0, 0, -32, 0, 1, 0, -4, 0, -6, 0, 0, 0, 0, 0, -12, 0, 8, 0, 2, 0, 0, 0, -12, 0, -32, 0, -30, 0, -12, 0, 0, 0, -18, 0, 0, 0, 26, 0, -8, 0, 0, 0, -8, 0, 42, 0, -14, 0, 34, 0, -30, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 16, 0, 12, 0, -12, 0, 0, 0, 0, 0, -18, 0, 4, 0, -2, 0, 0, 0, 0, 0, 24, 0, 6, 0, 12, 0, -24, 0, 0, 0, 16, 0, 4, 0, 12, 0, 14, 0, 0, 0, -48, 0, -26, 0, -28, 0, 3, 0, 0, 0, 6, 0, 6, 0, -29, 0, -18, 0, 0, 0, -22, 0, 32, 0, 0, 0, -36, 0, 0, 0, 22, 0, -20, 0, -20, 0, -48, 0, 0, 0, 1, 0, 0, 0, 8, 0, -2, 0, 0, 0, 52, 0, -6, 0, -22, 0, -20, 0, 0, 0, 22, 0, -32, 0, 0, 0, -16, 0, 0, 0, 4, 0, 0, 0, 2, 0, 8, 0, 0, 0, 8, 0, -2, 0, -18, 0, 0, 0, 0, 0, 0, 0, -24, 0, 12, 0, -4, 0, 0, 0, 4, 0, -18, 0, -12, 0, 10, 0, 0, 0, -42, 0, -18, 0, -52, 0, -20, 0, 0, 0, -8, 0, -28, 0, -4, 0, 22, 0, 0, 0, 0, 0, 20, 0, 5, 0, -16, 0, 0, 0, 52, 0, -4, 0, 36, 0, 16, 0, -10, 0, 18, 0, 0, 0, -4, 0, 14, 0, 0, 0, -8, 0, 8, 0, 2, 0, -20, 0, 0, 0, 16, 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], [1], [0], [0], [0], [2], [0], [1], [0], [0], [0], [2], [0], [0], [0], [-1], [0], [4], [0], [2], [0], [2], [0], [-5], [0], [1], [0], [0], [0], [6], [0], [0], [0], [0], [0], [0], [0], [2], [0], [-10], [0], [4], [0], [0], [0], [-4], [0], [-3], [0], [-1], [0], [-2], [0], [0], [0], [4], [0], [-4], [0], [0], [0], [2], [0], [0], [0], [4], [0], [2], [0], [-2], [0], [-14], [0], [-5], [0], [0], [0], [6], [0], [1], [0], [-12], [0], [0], [0], [0], [0], [-2], [0], [4], [0], [6], [0], [0], [0], [-2], [0], [0], [0]], 'ap': [[0], [1], [0], [2], [0], [2], [-1], [4], [2], [0], [6], [0], [-10], [4], [-4], [-2], [-4], [0], [4], [-2], [-14], [6], [-12], [-2], [-2], [-2], [4], [-16], [-4], [-6], [-16], [0], [10], [8], [18], [-16], [22], [4], [10], [16], [12], [0], [-12], [14], [20], [18], [8], [-20], [28], [-2], [18], [20], [-10], [-12], [-14], [12], [24], [-24], [-28], [-18], [32], [-6], [12], [10], [-18], [-4], [-20], [26], [-12], [-22], [30], [16], [-26], [-6], [-12], [36], [-38], [8], [-18], [6], [12], [10], [-22], [-18], [10], [4], [-10], [22], [-26], [-20], [-12], [30], [38], [-28], [32], [2], [-30], [-26], [-4], [40], [-8], [30], [28], [10], [-12], [34], [-4], [18], [0], [26], [22], [-34], [34], [4], [-28], [-18], [28], [36], [-24], [-20], [26], [14], [20], [4], [32], [-18], [-4], [-34], [-32], [-6], [-12], [2], [-30], [-18], [26], [42], [34], [16], [-18], [6], [12], [12], [14], [-48], [-26], [6], [-36], [22], [-20], [-48], [52], [-22], [-20], [22], [8], [-18], [-24], [-18], [-42], [-52], [-8], [22], [52], [36], [18], [14], [2], [16]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 9007199288295832, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '408.2.a.c', 'level': 408, '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': [2, 0, 1, 1, 1, 0, 0, 3], 'Nk2': 1632, 'analytic_conductor': 3.2578964024682397, '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': [408, 1, [103, 205, 137, 241], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 65, 'dim': 8, 'eis_dim': 15, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 33554840, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2], 'label': '408.2.a', 'level': 408, '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, 17], 'level_radical': 102, 'mf_dim': 80, 'mf_new_dim': 8, 'num_forms': 6, 'plus_dim': 3, 'prim_orbit_index': 1, 'relative_dim': 8, 'sturm_bound': 144, 'trace_bound': 5, 'trace_display': [0, 2, 0, 0], 'traces': [8, 0, 2, 0, 0, 0, 0, 0, 8, 0, -8, 0, 4, 0, -4, 0, 0, 0, -4, 0, 4, 0, -8, 0, 20, 0, 2, 0, 0, 0, -8, 0, 12, 0, -16, 0, 0, 0, 4, 0, 16, 0, -4, 0, 0, 0, -24, 0, 48, 0, 6, 0, -8, 0, -12, 0, 0, 0, -24, 0, -16, 0, 0, 0, 0, 0, 8, 0, 0, 0, -24, 0, -8, 0, 14, 0, -40, 0, 16, 0, 8, 0, -32, 0, -4, 0, 0, 0, 24, 0, 24, 0, -4, 0, 32, 0, 8, 0, -8, 0, -32, 0, -20, 0, 16, 0, 24, 0, -40, 0, 24, 0, -16, 0, -20, 0, 4, 0, 0, 0, 12, 0, -16, 0, -48, 0, 20, 0, -8, 0, -40, 0, -40, 0, -4, 0, 8, 0, 16, 0, -24, 0, 48, 0, -16, 0, 18, 0, 0, 0, 0, 0, 0, 0, 96, 0, 4, 0, -28, 0, 32, 0, 8, 0, -32, 0, -8, 0, 12, 0, -4, 0, -16, 0, 72, 0, -8, 0, -8, 0, -48, 0, 24, 0, 48, 0, 12, 0, 4, 0, 32, 0, 24, 0, -4, 0, -64, 0, -24, 0, -32, 0, 72, 0, -68, 0, -8, 0, 80, 0, 24, 0, 4, 0, 16, 0, -24, 0, 12, 0, 0, 0, -28, 0, 20, 0, 56, 0, 0, 0, -24, 0, 48, 0, 0, 0, 4, 0, 64, 0, 0, 0, 2, 0, -16, 0, 76, 0, -16, 0, -40, 0, 52, 0, 0, 0, -16, 0, -88, 0, 0, 0, -56, 0, 16, 0, -4, 0, 48, 0, 20, 0, -16, 0, -8, 0, -56, 0, -8, 0, -56, 0, 80, 0, -28, 0, 56, 0, 8, 0, -4, 0, 56, 0, -104, 0, 12, 0, 48, 0, -8, 0, -12, 0, -32, 0, -48, 0, 24, 0, -40, 0, -8, 0, -16, 0, -16, 0, -24, 0, 28, 0, -8, 0, 24, 0, -24, 0, 0, 0, -28, 0, 0, 0, -16, 0, 0, 0, -48, 0, -40, 0, -96, 0, -56, 0, 40, 0, -4, 0, 4, 0, 96, 0, -40, 0, -4, 0, -56, 0, 44, 0, -22, 0, 56, 0, -32, 0, 16, 0, -112, 0, 64, 0, -36, 0, 0, 0, 48, 0, -16, 0, 64, 0, -56, 0, -4, 0, 56, 0, -4, 0, 4, 0, 24, 0, -40, 0, 56, 0, -48, 0, -80, 0, 0, 0, 40, 0, 68, 0, 12, 0, 160, 0, 80, 0, -24, 0, -72, 0, 4, 0, -24, 0, 24, 0, 72, 0, 44, 0, -40, 0, 12, 0, -24, 0, 16, 0, -40, 0, 48, 0, -8, 0, 40, 0, 68, 0, 16, 0, -68, 0, -32, 0, -200, 0, -12, 0, 6, 0, 32, 0, 16, 0, 40, 0, 0, 0, 112, 0, 60, 0, -32, 0, -72, 0, -8, 0, 24, 0, -40, 0, -24, 0, -48, 0, -16, 0, -40, 0, -24, 0, 0, 0, -12, 0, -136, 0, -8, 0, 0, 0, -24, 0, -112, 0, 46, 0, -48, 0, 0, 0, 0, 0, -128, 0, 80, 0, -4, 0, 0, 0, 40, 0, 36, 0, -16, 0, -12, 0, -24, 0, -16, 0, 68, 0, 72, 0, -40, 0, 32, 0, -32, 0, -40, 0, 48, 0, -16, 0, -80, 0, -24, 0, 64, 0, 128, 0, 20, 0, -8, 0, 64, 0, 68, 0, 0, 0, 8, 0, -24, 0, -16, 0, 40, 0, 28, 0, 4, 0, -32, 0, 0, 0, 0, 0, 0, 0, 96, 0, 36, 0, -64, 0, 16, 0, 60, 0, 16, 0, 56, 0, 8, 0, 0, 0, 224, 0, -8, 0, 56, 0, 4, 0, -64, 0, 0, 0, 0, 0, 0, 0, -16, 0, -24, 0, 4, 0, 24, 0, -60, 0, -16, 0, 224, 0, -76, 0, -24, 0, -32, 0, -72, 0, 76, 0, 0, 0, -8, 0, 112, 0, 0, 0, 76, 0, -8, 0, -40, 0, 12, 0, 0, 0, -200, 0, 112, 0, 72, 0, -72, 0, -56, 0, 14, 0, 16, 0, -64, 0, 60, 0, 56, 0, 24, 0, 108, 0, 8, 0, 40, 0, -40, 0, 144, 0, 4, 0, -24, 0, -144, 0, -56, 0, -104, 0, 32, 0, -56, 0, 16, 0, -80, 0, 92, 0, -40, 0, -72, 0, -56, 0, -28, 0, 96, 0, 16, 0, 8, 0, -16, 0, 80, 0, -20, 0, -176, 0, -20, 0, 112, 0, -56, 0, -72, 0, -32, 0, -72, 0, 40, 0, -48, 0, -64, 0, -68, 0, -16, 0, 48, 0, 24, 0, -4, 0, 112, 0, 76, 0, -36, 0, 160, 0, -168, 0, -104, 0, -176, 0, 48, 0, 0, 0, -144, 0, 136, 0, -16, 0, 88, 0, -200, 0, 40, 0, -80, 0, -16, 0, 24, 0, 40, 0, 24, 0, 68, 0, -48, 0, 104, 0, 32, 0, 168, 0, -52, 0, 24, 0, 0, 0, 64, 0, 8, 0, 88, 0, 64, 0, -16, 0, 24, 0, 76, 0, -4, 0, -88, 0, -96, 0, -36, 0, 0, 0, 168, 0, 40, 0, -64, 0, 48, 0, 32, 0, 32, 0, -48, 0, -32, 0, -136, 0, -84, 0, 2, 0, -80, 0, -48, 0, 8, 0, -8, 0, 48, 0, 68, 0, 48, 0, -180, 0, 32, 0, 200, 0, -88, 0, -8, 0, 136, 0, -112, 0, -44, 0, -72, 0, -24, 0, -104, 0, -88, 0, 16, 0, -32, 0, 72, 0, -48, 0, 32, 0, -120, 0, 4, 0, 8, 0, -224, 0, -104, 0, -20, 0, 80, 0, -4, 0, -68, 0, -32, 0, -56, 0, -52, 0, -160, 0, 76, 0, 16, 0, -8, 0, 48, 0, -8, 0, -16, 0, 24, 0, -32, 0, -128, 0, 96, 0, 24, 0, 120, 0, -20, 0, -12, 0, 80, 0, 80, 0, -20, 0, 40, 0, -120, 0, -40, 0, 120, 0, 92, 0, 48, 0, -16, 0, -72, 0, -40, 0, 24, 0, -16, 0, 24, 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: 305094
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '408.2.a.c', 'source_level': 408, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '408.2.a.c', 'target_level': 408, 'twist_class_label': '408.2.a.c', 'twist_class_level': 408, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 305095
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '408.2.a.c', 'source_level': 408, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '816.2.a.c', 'target_level': 816, 'twist_class_label': '408.2.a.c', 'twist_class_level': 408, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 305096
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '408.2.a.c', 'source_level': 408, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '1224.2.a.e', 'target_level': 1224, 'twist_class_label': '408.2.a.c', 'twist_class_level': 408, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 305097
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '408.2.a.c', 'source_level': 408, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '2448.2.a.h', 'target_level': 2448, 'twist_class_label': '408.2.a.c', 'twist_class_level': 408, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 305098
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '408.2.a.c', 'source_level': 408, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '3264.2.a.h', 'target_level': 3264, 'twist_class_label': '408.2.a.c', 'twist_class_level': 408, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 305099
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '408.2.a.c', 'source_level': 408, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 24, 'target_is_minimal': False, 'target_label': '3264.2.a.x', 'target_level': 3264, 'twist_class_label': '408.2.a.c', 'twist_class_level': 408, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 305100
    {'conductor': 17, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '408.2.a.c', 'source_level': 408, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '6936.2.a.e', 'target_level': 6936, 'twist_class_label': '408.2.a.c', 'twist_class_level': 408, 'twisting_char_label': '17.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 305101
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '408.2.a.c', 'source_level': 408, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 28, 'target_is_minimal': False, 'target_label': '9792.2.a.bb', 'target_level': 9792, 'twist_class_label': '408.2.a.c', 'twist_class_level': 408, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 305102
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '408.2.a.c', 'source_level': 408, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 32, 'target_is_minimal': False, 'target_label': '9792.2.a.bf', 'target_level': 9792, 'twist_class_label': '408.2.a.c', 'twist_class_level': 408, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 849200
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 2}
  • id: 849201
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 3}
  • id: 849202
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 5}
  • id: 849203
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 7}
  • id: 849204
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 11}
  • id: 849205
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 13}
  • id: 849206
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 17}
  • id: 849207
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 19}
  • id: 849208
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 23}
  • id: 849209
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 29}
  • id: 849210
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 31}
  • id: 849211
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 37}
  • id: 849212
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 41}
  • id: 849213
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 43}
  • id: 849214
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 47}
  • id: 849215
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 53}
  • id: 849216
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 59}
  • id: 849217
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 61}
  • id: 849218
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 67}
  • id: 849219
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 71}
  • id: 849220
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 73}
  • id: 849221
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 79}
  • id: 849222
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 83}
  • id: 849223
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288295832, 'p': 89}
  • id: 849224
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288295832, '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': 3, 'label': '408.2.a.c', 'level': 408, '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: 26075005
    {'hecke_orbit_code': 9007199288295832, 'n': 1, 'trace_an': 1}
  • id: 26075006
    {'hecke_orbit_code': 9007199288295832, 'n': 2, 'trace_an': 0}
  • id: 26075007
    {'hecke_orbit_code': 9007199288295832, 'n': 3, 'trace_an': 1}
  • id: 26075008
    {'hecke_orbit_code': 9007199288295832, 'n': 4, 'trace_an': 0}
  • id: 26075009
    {'hecke_orbit_code': 9007199288295832, 'n': 5, 'trace_an': 0}
  • id: 26075010
    {'hecke_orbit_code': 9007199288295832, 'n': 6, 'trace_an': 0}
  • id: 26075011
    {'hecke_orbit_code': 9007199288295832, 'n': 7, 'trace_an': 2}
  • id: 26075012
    {'hecke_orbit_code': 9007199288295832, 'n': 8, 'trace_an': 0}
  • id: 26075013
    {'hecke_orbit_code': 9007199288295832, 'n': 9, 'trace_an': 1}
  • id: 26075014
    {'hecke_orbit_code': 9007199288295832, 'n': 10, 'trace_an': 0}
  • id: 26075015
    {'hecke_orbit_code': 9007199288295832, 'n': 11, 'trace_an': 0}
  • id: 26075016
    {'hecke_orbit_code': 9007199288295832, 'n': 12, 'trace_an': 0}
  • id: 26075017
    {'hecke_orbit_code': 9007199288295832, 'n': 13, 'trace_an': 2}
  • id: 26075018
    {'hecke_orbit_code': 9007199288295832, 'n': 14, 'trace_an': 0}
  • id: 26075019
    {'hecke_orbit_code': 9007199288295832, 'n': 15, 'trace_an': 0}
  • id: 26075020
    {'hecke_orbit_code': 9007199288295832, 'n': 16, 'trace_an': 0}
  • id: 26075021
    {'hecke_orbit_code': 9007199288295832, 'n': 17, 'trace_an': -1}
  • id: 26075022
    {'hecke_orbit_code': 9007199288295832, 'n': 18, 'trace_an': 0}
  • id: 26075023
    {'hecke_orbit_code': 9007199288295832, 'n': 19, 'trace_an': 4}
  • id: 26075024
    {'hecke_orbit_code': 9007199288295832, 'n': 20, 'trace_an': 0}
  • id: 26075025
    {'hecke_orbit_code': 9007199288295832, 'n': 21, 'trace_an': 2}
  • id: 26075026
    {'hecke_orbit_code': 9007199288295832, 'n': 22, 'trace_an': 0}
  • id: 26075027
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  • id: 26075028
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  • id: 26075029
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  • id: 26075030
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  • id: 26075031
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  • id: 26075032
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  • id: 26075033
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  • id: 26075034
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  • id: 26075035
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  • id: 26075036
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  • id: 26075037
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  • id: 26075038
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  • id: 26075039
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  • id: 26075040
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  • id: 26075041
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  • id: 26075042
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  • id: 26075043
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  • id: 26075044
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  • id: 26075045
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  • id: 26075046
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  • id: 26075047
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  • id: 26075048
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  • id: 26075049
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  • id: 26075050
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  • id: 26075051
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  • id: 26075052
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  • id: 26075053
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  • id: 26075054
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  • id: 26075055
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  • id: 26075056
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  • id: 26075057
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  • id: 26075058
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  • id: 26075059
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  • id: 26075060
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  • id: 26075061
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  • id: 26075062
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  • id: 26075063
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  • id: 26075064
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  • id: 26075065
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  • id: 26075066
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  • id: 26075067
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  • id: 26075068
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  • id: 26075069
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  • id: 26075070
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  • id: 26075071
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  • id: 26075072
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  • id: 26075073
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  • id: 26075074
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  • id: 26075075
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  • id: 26075076
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  • id: 26075077
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  • id: 26075078
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  • id: 26075079
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  • id: 26075080
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  • id: 26075081
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  • id: 26075082
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  • id: 26075083
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  • id: 26075084
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  • id: 26075085
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  • id: 26075086
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  • id: 26075087
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  • id: 26075088
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  • id: 26075089
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  • id: 26075090
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  • id: 26075091
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  • id: 26075092
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  • id: 26075093
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  • id: 26075094
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  • id: 26075095
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  • id: 26075096
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  • id: 26075097
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  • id: 26075098
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  • id: 26075099
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  • id: 26075100
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  • id: 26075101
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  • id: 26075102
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  • id: 26075103
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  • id: 26075104
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  • id: 26075105
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  • id: 26075106
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  • id: 26075107
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  • id: 26075108
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  • id: 26075109
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  • id: 26075110
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  • id: 26075111
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  • id: 26075112
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  • id: 26075113
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  • id: 26075114
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  • id: 26075115
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  • id: 26075116
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  • id: 26075117
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  • id: 26075118
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  • id: 26075119
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  • id: 26075120
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  • id: 26075121
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  • id: 26075122
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  • id: 26075123
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  • id: 26075124
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  • id: 26075125
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  • id: 26075126
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  • id: 26075127
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  • id: 26075128
    {'hecke_orbit_code': 9007199288295832, 'n': 197, 'trace_an': 20}
  • id: 26075129
    {'hecke_orbit_code': 9007199288295832, 'n': 199, 'trace_an': 18}
  • id: 26075130
    {'hecke_orbit_code': 9007199288295832, 'n': 211, 'trace_an': 8}
  • id: 26075131
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  • id: 26075132
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  • id: 26075133
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  • id: 26075134
    {'hecke_orbit_code': 9007199288295832, 'n': 233, 'trace_an': 18}
  • id: 26075135
    {'hecke_orbit_code': 9007199288295832, 'n': 239, 'trace_an': 20}
  • id: 26075136
    {'hecke_orbit_code': 9007199288295832, 'n': 241, 'trace_an': -10}
  • id: 26075137
    {'hecke_orbit_code': 9007199288295832, 'n': 243, 'trace_an': 1}
  • id: 26075138
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  • id: 26075139
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  • id: 26075140
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  • id: 26075141
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  • id: 26075142
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  • id: 26075143
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  • id: 26075144
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  • id: 26075145
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  • id: 26075146
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  • id: 26075147
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  • id: 26075148
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  • id: 26075149
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  • id: 26075150
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  • id: 26075151
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  • id: 26075152
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  • id: 26075153
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  • id: 26075154
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  • id: 26075155
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  • id: 26075156
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  • id: 26075157
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  • id: 26075158
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  • id: 26075159
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  • id: 26075160
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  • id: 26075161
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  • id: 26075162
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  • id: 26075163
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  • id: 26075164
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  • id: 26075165
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  • id: 26075166
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  • id: 26075167
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  • id: 26075168
    {'hecke_orbit_code': 9007199288295832, 'n': 409, 'trace_an': 6}
  • id: 26075169
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  • id: 26075170
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  • id: 26075171
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  • id: 26075172
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  • id: 26075173
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  • id: 26075174
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  • id: 26075175
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  • id: 26075176
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  • id: 26075177
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  • id: 26075178
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  • id: 26075179
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  • id: 26075180
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  • id: 26075181
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  • id: 26075182
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  • id: 26075183
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  • id: 26075184
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  • id: 26075185
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  • id: 26075186
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  • id: 26075187
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  • id: 26075188
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  • id: 26075189
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  • id: 26075190
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  • id: 26075191
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  • id: 26075192
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  • id: 26075193
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  • id: 26075194
    {'hecke_orbit_code': 9007199288295832, 'n': 569, 'trace_an': 10}
  • id: 26075195
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  • id: 26075196
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  • id: 26075197
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  • id: 26075198
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  • id: 26075199
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  • id: 26075200
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  • id: 26075201
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  • id: 26075202
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  • id: 26075203
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  • id: 26075204
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  • id: 26075205
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  • id: 26075206
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  • id: 26075207
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  • id: 26075208
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  • id: 26075209
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  • id: 26075210
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  • id: 26075211
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  • id: 26075212
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  • id: 26075213
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  • id: 26075214
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  • id: 26075215
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  • id: 26075216
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  • id: 26075217
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  • id: 26075218
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  • id: 26075219
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  • id: 26075220
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  • id: 26075221
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  • id: 26075222
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  • id: 26075223
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  • id: 26075224
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  • id: 26075225
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  • id: 26075226
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  • id: 26075227
    {'hecke_orbit_code': 9007199288295832, 'n': 761, 'trace_an': 26}
  • id: 26075228
    {'hecke_orbit_code': 9007199288295832, 'n': 769, 'trace_an': 42}
  • id: 26075229
    {'hecke_orbit_code': 9007199288295832, 'n': 773, 'trace_an': 34}
  • id: 26075230
    {'hecke_orbit_code': 9007199288295832, 'n': 787, 'trace_an': 16}
  • id: 26075231
    {'hecke_orbit_code': 9007199288295832, 'n': 797, 'trace_an': -18}
  • id: 26075232
    {'hecke_orbit_code': 9007199288295832, 'n': 809, 'trace_an': 6}
  • id: 26075233
    {'hecke_orbit_code': 9007199288295832, 'n': 811, 'trace_an': 12}
  • id: 26075234
    {'hecke_orbit_code': 9007199288295832, 'n': 821, 'trace_an': 12}
  • id: 26075235
    {'hecke_orbit_code': 9007199288295832, 'n': 823, 'trace_an': 14}
  • id: 26075236
    {'hecke_orbit_code': 9007199288295832, 'n': 827, 'trace_an': -48}
  • id: 26075237
    {'hecke_orbit_code': 9007199288295832, 'n': 829, 'trace_an': -26}
  • id: 26075238
    {'hecke_orbit_code': 9007199288295832, 'n': 839, 'trace_an': 6}
  • id: 26075239
    {'hecke_orbit_code': 9007199288295832, 'n': 841, 'trace_an': -29}
  • id: 26075240
    {'hecke_orbit_code': 9007199288295832, 'n': 853, 'trace_an': -36}
  • id: 26075241
    {'hecke_orbit_code': 9007199288295832, 'n': 857, 'trace_an': 22}
  • id: 26075242
    {'hecke_orbit_code': 9007199288295832, 'n': 859, 'trace_an': -20}
  • id: 26075243
    {'hecke_orbit_code': 9007199288295832, 'n': 863, 'trace_an': -48}
  • id: 26075244
    {'hecke_orbit_code': 9007199288295832, 'n': 877, 'trace_an': 52}
  • id: 26075245
    {'hecke_orbit_code': 9007199288295832, 'n': 881, 'trace_an': -22}
  • id: 26075246
    {'hecke_orbit_code': 9007199288295832, 'n': 883, 'trace_an': -20}
  • id: 26075247
    {'hecke_orbit_code': 9007199288295832, 'n': 887, 'trace_an': 22}
  • id: 26075248
    {'hecke_orbit_code': 9007199288295832, 'n': 907, 'trace_an': 8}
  • id: 26075249
    {'hecke_orbit_code': 9007199288295832, 'n': 911, 'trace_an': -18}
  • id: 26075250
    {'hecke_orbit_code': 9007199288295832, 'n': 919, 'trace_an': -24}
  • id: 26075251
    {'hecke_orbit_code': 9007199288295832, 'n': 929, 'trace_an': -18}
  • id: 26075252
    {'hecke_orbit_code': 9007199288295832, 'n': 937, 'trace_an': -42}
  • id: 26075253
    {'hecke_orbit_code': 9007199288295832, 'n': 941, 'trace_an': -52}
  • id: 26075254
    {'hecke_orbit_code': 9007199288295832, 'n': 947, 'trace_an': -8}
  • id: 26075255
    {'hecke_orbit_code': 9007199288295832, 'n': 953, 'trace_an': 22}
  • id: 26075256
    {'hecke_orbit_code': 9007199288295832, 'n': 961, 'trace_an': 5}
  • id: 26075257
    {'hecke_orbit_code': 9007199288295832, 'n': 967, 'trace_an': 52}
  • id: 26075258
    {'hecke_orbit_code': 9007199288295832, 'n': 971, 'trace_an': 36}
  • id: 26075259
    {'hecke_orbit_code': 9007199288295832, 'n': 977, 'trace_an': 18}
  • id: 26075260
    {'hecke_orbit_code': 9007199288295832, 'n': 983, 'trace_an': 14}
  • id: 26075261
    {'hecke_orbit_code': 9007199288295832, 'n': 991, 'trace_an': 2}
  • id: 26075262
    {'hecke_orbit_code': 9007199288295832, 'n': 997, 'trace_an': 16}