Newform data - 924.2.a.e

Formats: - HTML - YAML - JSON - 2025-06-17T10:48:35.936587

• 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': 3696, 'analytic_conductor': 7.3781771467663075, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [7, 1], [11, 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': [924, 1, [463, 617, 661, 673], [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, [3, 1]], [13, [-3, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18014398543037340, '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': '924.2.a.e', 'level': 924, '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, 11], 'level_radical': 462, 'minimal_twist': '924.2.a.e', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{3}-3q^{5}-q^{7}+q^{9}-q^{11}+3q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/924/e'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '924.2.a', 'trace_display': [0, 1, -3, -1], 'trace_hash': 505049504827071033, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.003', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.012', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.018', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.014', 'prec': 17}, 'traces': [1, 0, 1, 0, -3, 0, -1, 0, 1, 0, -1, 0, 3, 0, -3, 0, -2, 0, -3, 0, -1, 0, -4, 0, 4, 0, 1, 0, -9, 0, -2, 0, -1, 0, 3, 0, -11, 0, 3, 0, -4, 0, -4, 0, -3, 0, -3, 0, 1, 0, -2, 0, -4, 0, 3, 0, -3, 0, -3, 0, 10, 0, -1, 0, -9, 0, 11, 0, -4, 0, 4, 0, 9, 0, 4, 0, 1, 0, -4, 0, 1, 0, 10, 0, 6, 0, -9, 0, 6, 0, -3, 0, -2, 0, 9, 0, 12, 0, -1, 0, 10, 0, -14, 0, 3, 0, -19, 0, -2, 0, -11, 0, 10, 0, 12, 0, 3, 0, 2, 0, 1, 0, -4, 0, 3, 0, 2, 0, -4, 0, -4, 0, 3, 0, -3, 0, -14, 0, -8, 0, -3, 0, -3, 0, 27, 0, 1, 0, 3, 0, 18, 0, -2, 0, 6, 0, 0, 0, -4, 0, 4, 0, -13, 0, 3, 0, 0, 0, -4, 0, -3, 0, -12, 0, -4, 0, -3, 0, -8, 0, -4, 0, 10, 0, 33, 0, 2, 0, -1, 0, -18, 0, 24, 0, -9, 0, -18, 0, -20, 0, 11, 0, 9, 0, 12, 0, -4, 0, 3, 0, -10, 0, 4, 0, 12, 0, 2, 0, 9, 0, -6, 0, -14, 0, 4, 0, 18, 0, 8, 0, 1, 0, 22, 0, 9, 0, -4, 0, 11, 0, 19, 0, 1, 0, -3, 0, -9, 0, 10, 0, -21, 0, 4, 0, 6, 0, 25, 0, 11, 0, -9, 0, -3, 0, 12, 0, 6, 0, -30, 0, -3, 0, -3, 0, -4, 0, 12, 0, -2, 0, 23, 0, 21, 0, 9, 0, 4, 0, -13, 0, 12, 0, -16, 0, 9, 0, -1, 0, -12, 0, 4, 0, 10, 0, -30, 0, 12, 0, -14, 0, 0, 0, 18, 0, 3, 0, 24, 0, 9, 0, -19, 0, 6, 0, 12, 0, -2, 0, 3, 0, 8, 0, -11, 0, -33, 0, -20, 0, 10, 0, 2, 0, -1, 0, 12, 0, -8, 0, -1, 0, 3, 0, 3, 0, -12, 0, 2, 0, -4, 0, -10, 0, 1, 0, -27, 0, -38, 0, -4, 0, 4, 0, -22, 0, 3, 0, -27, 0, -35, 0, 2, 0, 32, 0, -3, 0, -4, 0, 24, 0, 8, 0, -4, 0, 12, 0, 2, 0, 3, 0, -24, 0, -6, 0, -3, 0, 11, 0, 10, 0, -14, 0, 3, 0, -30, 0, -8, 0, -5, 0, -37, 0, -3, 0, -8, 0, -10, 0, -3, 0, -11, 0, 8, 0, 27, 0, 12, 0, 37, 0, 1, 0, -16, 0, -18, 0, 3, 0, 32, 0, 4, 0, 18, 0, 9, 0, -32, 0, -2, 0, 8, 0, 7, 0, 6, 0, -23, 0, -11, 0, 0, 0, 4, 0, -12, 0, -4, 0, -6, 0, -33, 0, 4, 0, -36, 0, -40, 0, -13, 0, -3, 0, 18, 0, 3, 0, -4, 0, -27, 0, 0, 0, 0, 0, -30, 0, -4, 0, 26, 0, -9, 0, -3, 0, 42, 0, 3, 0, -12, 0, -31, 0, -21, 0, -4, 0, 4, 0, -7, 0, -3, 0, -12, 0, 57, 0, -8, 0, -1, 0, 0, 0, -4, 0, 6, 0, -12, 0, 10, 0, 27, 0, 4, 0, 33, 0, -5, 0, -12, 0, 2, 0, 32, 0, -30, 0, -1, 0, 42, 0, -4, 0, -18, 0, -16, 0, 2, 0, 24, 0, -10, 0, 4, 0, -9, 0, 15, 0, 6, 0, -18, 0, 20, 0, -6, 0, -20, 0, 36, 0, 37, 0, 11, 0, -3, 0, -27, 0, 9, 0, -9, 0, 34, 0, 12, 0, -18, 0, -26, 0, -4, 0, -6, 0, -29, 0, 3, 0, 22, 0, 4, 0, -10, 0, -6, 0, 3, 0, 4, 0, -10, 0, 12, 0, 12, 0, 23, 0, 3, 0, 2, 0, 24, 0, 12, 0, 9, 0, -23, 0, -32, 0, -6, 0, -9, 0, 36, 0, -14, 0, -10, 0, -32, 0, 4, 0, 6, 0, -12, 0, 18, 0, 30, 0, 42, 0, 8, 0, -12, 0, -42, 0, 1, 0, 24, 0, 8, 0, 22, 0, -10, 0, 33, 0, 9, 0, -10, 0, -25, 0, -4, 0, 8, 0, 9, 0, 11, 0, -29, 0, 14, 0, 19, 0, -36, 0, 40, 0, 1, 0, 8, 0, -30, 0, -3, 0, -11, 0, -40, 0, -9, 0, 13, 0, -9, 0, 10, 0, 19, 0, -41, 0, -21, 0, -54, 0, 13, 0, 4, 0, 20, 0, 2, 0, 6, 0, -9, 0, -5, 0, 25, 0, -31, 0, -8, 0, 11, 0, 12, 0, -4, 0, -9, 0, 0, 0, -5, 0, -3, 0, -10, 0, 30, 0, 12, 0, 7, 0, 6, 0, 6, 0, -9, 0, -12, 0, -30, 0, 27, 0, -21, 0, -3, 0, 39, 0, 12, 0, -3, 0, 13, 0, 55, 0, -4, 0, -3, 0, -24, 0, 12, 0, -2, 0, 0, 0, -2, 0, -27, 0, 52, 0, 23, 0, 12, 0, -1, 0, 21, 0, 44, 0, 54, 0, 9, 0, -42, 0, -36, 0, 4, 0, -12, 0, 36, 0, -13, 0, 4, 0, 33, 0, 12, 0, -3, 0, -24, 0, -16, 0, 25, 0, 29, 0, 9, 0, 18, 0, -2, 0, -1, 0, 9, 0, 24, 0, -12, 0, 18, 0, 8, 0, 4, 0, 12, 0, 20, 0, 10, 0, 42, 0, -10, 0, -30, 0, 4, 0, -8, 0, 12, 0, 12, 0, -44, 0, -14, 0, -29, 0, -3, 0, 0, 0, -6, 0, 30, 0, 18, 0, -48, 0, 16, 0, 3, 0, 18, 0, 27, 0, 24, 0, -45, 0, 54, 0, 9, 0, 14, 0, -27, 0, -19, 0, -72, 0, 18, 0, 6, 0, 23, 0, 8, 0, 12, 0, 8, 0, -6, 0, -2, 0, -56, 0, 54, 0, 3, 0, 16, 0, -17, 0, 8, 0, 60, 0, -58, 0, -11, 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], [-3], [0], [-1], [0], [1], [0], [-1], [0], [3], [0], [-3], [0], [-2], [0], [-3], [0], [-1], [0], [-4], [0], [4], [0], [1], [0], [-9], [0], [-2], [0], [-1], [0], [3], [0], [-11], [0], [3], [0], [-4], [0], [-4], [0], [-3], [0], [-3], [0], [1], [0], [-2], [0], [-4], [0], [3], [0], [-3], [0], [-3], [0], [10], [0], [-1], [0], [-9], [0], [11], [0], [-4], [0], [4], [0], [9], [0], [4], [0], [1], [0], [-4], [0], [1], [0], [10], [0], [6], [0], [-9], [0], [6], [0], [-3], [0], [-2], [0], [9], [0], [12], [0], [-1], [0]], 'ap': [[0], [1], [-3], [-1], [-1], [3], [-2], [-3], [-4], [-9], [-2], [-11], [-4], [-4], [-3], [-4], [-3], [10], [11], [4], [9], [-4], [10], [6], [12], [10], [-14], [-19], [-2], [10], [2], [-4], [-14], [-8], [3], [18], [0], [-13], [0], [-12], [-8], [-4], [-18], [24], [-18], [-20], [-10], [-14], [18], [8], [22], [11], [19], [-21], [25], [-3], [-30], [-3], [12], [23], [21], [-16], [12], [0], [18], [24], [8], [-20], [-8], [-1], [3], [-4], [-38], [-22], [-35], [32], [24], [2], [-24], [10], [-5], [-37], [-11], [8], [37], [-16], [32], [-32], [8], [7], [-23], [-6], [-40], [-3], [-27], [0], [26], [-31], [-21], [0], [-12], [-5], [32], [42], [-4], [2], [15], [20], [36], [37], [-27], [34], [-18], [-26], [4], [-10], [12], [23], [24], [-23], [-32], [-32], [6], [30], [-42], [-10], [-25], [-29], [40], [-30], [-40], [13], [-41], [13], [20], [-5], [-31], [-5], [7], [27], [-21], [13], [55], [-3], [-24], [-27], [54], [-42], [-36], [-12], [-24], [25], [29], [18], [20], [42], [-8], [-29], [30], [-48], [18], [-45], [18], [23], [8], [-56], [-17], [-58]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 18014398543037340, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '924.2.a.e', 'level': 924, '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

  
  {'ALdims': [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1], 'ALdims_old': [7, 15, 15, 8, 14, 9, 9, 12, 11, 11, 11, 9, 12, 8, 8, 14], 'Nk2': 3696, 'analytic_conductor': 7.3781771467663075, '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': [924, 1, [463, 617, 661, 673], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 181, 'dim': 8, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 13], 'hecke_orbit_code': 33555356, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1], 'label': '924.2.a', 'level': 924, '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, 11], 'level_radical': 462, 'mf_dim': 204, 'mf_new_dim': 8, 'num_forms': 8, 'plus_dim': 4, 'prim_orbit_index': 1, 'relative_dim': 8, 'sturm_bound': 384, 'trace_bound': 7, 'trace_display': [0, 0, -8, 0], 'traces': [8, 0, 0, 0, -8, 0, 0, 0, 8, 0, 0, 0, -8, 0, 0, 0, 0, 0, 8, 0, 0, 0, 8, 0, 0, 0, 0, 0, -8, 0, -8, 0, 0, 0, 8, 0, -8, 0, 0, 0, -32, 0, 8, 0, -8, 0, 8, 0, 8, 0, -8, 0, -8, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 8, 0, -24, 0, 8, 0, -16, 0, 8, 0, 16, 0, 0, 0, 16, 0, 8, 0, 0, 0, 24, 0, -8, 0, 16, 0, -16, 0, 8, 0, 24, 0, 8, 0, 0, 0, 0, 0, -16, 0, 0, 0, 8, 0, -24, 0, -16, 0, 32, 0, 24, 0, -8, 0, -8, 0, 8, 0, -32, 0, 24, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, -32, 0, 0, 0, -8, 0, 8, 0, 0, 0, -8, 0, 40, 0, 0, 0, 8, 0, -48, 0, 8, 0, 16, 0, -24, 0, -8, 0, 16, 0, -32, 0, 8, 0, -32, 0, 0, 0, -32, 0, -32, 0, -8, 0, 0, 0, -24, 0, 8, 0, 0, 0, -8, 0, 24, 0, 8, 0, 16, 0, 8, 0, 0, 0, 0, 0, 16, 0, 8, 0, 8, 0, -16, 0, 16, 0, -16, 0, 8, 0, 0, 0, 24, 0, 0, 0, 0, 0, 48, 0, 24, 0, 0, 0, -32, 0, 8, 0, 16, 0, -56, 0, 8, 0, 0, 0, -8, 0, 8, 0, 40, 0, 8, 0, -8, 0, 16, 0, 8, 0, 0, 0, -8, 0, -24, 0, 72, 0, 16, 0, -64, 0, -88, 0, -8, 0, -16, 0, 48, 0, -8, 0, 8, 0, 40, 0, 24, 0, -16, 0, -24, 0, 8, 0, 0, 0, 8, 0, 0, 0, -16, 0, 8, 0, 24, 0, 16, 0, 48, 0, -32, 0, 64, 0, -8, 0, 8, 0, 8, 0, 0, 0, 8, 0, 8, 0, 0, 0, -64, 0, -24, 0, 16, 0, -8, 0, 40, 0, -40, 0, 0, 0, 16, 0, 0, 0, 24, 0, -48, 0, 24, 0, 0, 0, -8, 0, 80, 0, -8, 0, 64, 0, -48, 0, 0, 0, -40, 0, -32, 0, -32, 0, -16, 0, -56, 0, 0, 0, 8, 0, -72, 0, 0, 0, 48, 0, -8, 0, 8, 0, 0, 0, -16, 0, 16, 0, -64, 0, -24, 0, 8, 0, 8, 0, 8, 0, -8, 0, 16, 0, 0, 0, 8, 0, -8, 0, -24, 0, 0, 0, -40, 0, 40, 0, 8, 0, -96, 0, 0, 0, -8, 0, 56, 0, -80, 0, 32, 0, 48, 0, 104, 0, 8, 0, -80, 0, 0, 0, -24, 0, 64, 0, 0, 0, -16, 0, 32, 0, -56, 0, -8, 0, 0, 0, 56, 0, -40, 0, -8, 0, 0, 0, -16, 0, 8, 0, 0, 0, -8, 0, 32, 0, -40, 0, -8, 0, -40, 0, -64, 0, -16, 0, -24, 0, 8, 0, 0, 0, 16, 0, 88, 0, 8, 0, 16, 0, 24, 0, 48, 0, 128, 0, 0, 0, 0, 0, -16, 0, 16, 0, -16, 0, 8, 0, 56, 0, 16, 0, -64, 0, -8, 0, 8, 0, 80, 0, -40, 0, 16, 0, 0, 0, 96, 0, 24, 0, -32, 0, 0, 0, 0, 0, 24, 0, -16, 0, 16, 0, 8, 0, -40, 0, -8, 0, -48, 0, -96, 0, 0, 0, 96, 0, -16, 0, -8, 0, 0, 0, 104, 0, 0, 0, 8, 0, 8, 0, 8, 0, -24, 0, 56, 0, -64, 0, 96, 0, 8, 0, -24, 0, 48, 0, 56, 0, -24, 0, -8, 0, -120, 0, -8, 0, 40, 0, -24, 0, 16, 0, -64, 0, -104, 0, 8, 0, 16, 0, -72, 0, -8, 0, -64, 0, -16, 0, -80, 0, 0, 0, -8, 0, -16, 0, -104, 0, -40, 0, 8, 0, 24, 0, 0, 0, -16, 0, 64, 0, 0, 0, 8, 0, 40, 0, -56, 0, 56, 0, 32, 0, 136, 0, -16, 0, -32, 0, -40, 0, 16, 0, 48, 0, 40, 0, 0, 0, -8, 0, 56, 0, -40, 0, 80, 0, 32, 0, 0, 0, 32, 0, 64, 0, 16, 0, -48, 0, 40, 0, 32, 0, -24, 0, 8, 0, 16, 0, 80, 0, 32, 0, 56, 0, -152, 0, 16, 0, 32, 0, -48, 0, -56, 0, 8, 0, -128, 0, -64, 0, 0, 0, -32, 0, -8, 0, -16, 0, -56, 0, -40, 0, 0, 0, 0, 0, -56, 0, -96, 0, -64, 0, -8, 0, 16, 0, -64, 0, -8, 0, 24, 0, 24, 0, -120, 0, 48, 0, 24, 0, 0, 0, 16, 0, -48, 0, -48, 0, -8, 0, -16, 0, 8, 0, -8, 0, -16, 0, 112, 0, 40, 0, -8, 0, 56, 0, 16, 0, 40, 0, 8, 0, 0, 0, 8, 0, -40, 0, 32, 0, -40, 0, 104, 0, -16, 0, -8, 0, 40, 0, 0, 0, 72, 0, 96, 0, 0, 0, 0, 0, -136, 0, 8, 0, -8, 0, 0, 0, -8, 0, -80, 0, 0, 0, 48, 0, 40, 0, -64, 0, 24, 0, -48, 0, 0, 0, -16, 0, -24, 0, 112, 0, 0, 0, 16, 0, 136, 0, 8, 0, -24, 0, 16, 0, -64, 0, -8, 0, 104, 0, 64, 0, -64, 0, -24, 0, 0, 0, 120, 0, 96, 0, -8, 0, 96, 0, 160, 0, 24, 0, -88, 0, 0, 0, 0, 0, 16, 0, -8, 0, 0, 0, 32, 0, -120, 0, 0, 0, 96, 0, 0, 0, -16, 0, -72, 0, 8, 0, 0, 0, -8, 0, 0, 0, -56, 0, 64, 0, -80, 0, 0, 0, 48, 0, -56, 0, 24, 0, -200, 0, -56, 0, 32, 0, 48, 0, -8, 0, 8, 0, -144, 0, -16, 0, 40, 0, 136, 0, -16, 0, -48, 0, -88, 0, 0, 0, -24, 0, -32, 0, 32, 0, 16, 0, 48, 0, -24, 0, 0, 0, 184, 0, -48, 0, -16, 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: 572293
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 5, 'source_is_minimal': True, 'source_label': '924.2.a.e', 'source_level': 924, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': True, 'target_label': '924.2.a.e', 'target_level': 924, 'twist_class_label': '924.2.a.e', 'twist_class_level': 924, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 572294
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 5, 'source_is_minimal': True, 'source_label': '924.2.a.e', 'source_level': 924, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '2772.2.a.j', 'target_level': 2772, 'twist_class_label': '924.2.a.e', 'twist_class_level': 924, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 572295
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 5, 'source_is_minimal': True, 'source_label': '924.2.a.e', 'source_level': 924, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '3696.2.a.d', 'target_level': 3696, 'twist_class_label': '924.2.a.e', 'twist_class_level': 924, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 572296
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 5, 'source_is_minimal': True, 'source_label': '924.2.a.e', 'source_level': 924, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '6468.2.a.h', 'target_level': 6468, 'twist_class_label': '924.2.a.e', 'twist_class_level': 924, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1496100
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 2}
  • id: 1496101
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 3}
  • id: 1496102
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 5}
  • id: 1496103
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 7}
  • id: 1496104
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 11}
  • id: 1496105
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 13}
  • id: 1496106
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 17}
  • id: 1496107
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 19}
  • id: 1496108
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 23}
  • id: 1496109
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 29}
  • id: 1496110
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 31}
  • id: 1496111
    {'charpoly_factorization': [[[11, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 37}
  • id: 1496112
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 41}
  • id: 1496113
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 43}
  • id: 1496114
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 47}
  • id: 1496115
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 53}
  • id: 1496116
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 59}
  • id: 1496117
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 61}
  • id: 1496118
    {'charpoly_factorization': [[[-11, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 67}
  • id: 1496119
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 71}
  • id: 1496120
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 73}
  • id: 1496121
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 79}
  • id: 1496122
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 83}
  • id: 1496123
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 18014398543037340, 'p': 89}
  • id: 1496124
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 18014398543037340, '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': 5, 'label': '924.2.a.e', 'level': 924, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 37991509
    {'hecke_orbit_code': 18014398543037340, 'n': 1, 'trace_an': 1}
  • id: 37991510
    {'hecke_orbit_code': 18014398543037340, 'n': 2, 'trace_an': 0}
  • id: 37991511
    {'hecke_orbit_code': 18014398543037340, 'n': 3, 'trace_an': 1}
  • id: 37991512
    {'hecke_orbit_code': 18014398543037340, 'n': 4, 'trace_an': 0}
  • id: 37991513
    {'hecke_orbit_code': 18014398543037340, 'n': 5, 'trace_an': -3}
  • id: 37991514
    {'hecke_orbit_code': 18014398543037340, 'n': 6, 'trace_an': 0}
  • id: 37991515
    {'hecke_orbit_code': 18014398543037340, 'n': 7, 'trace_an': -1}
  • id: 37991516
    {'hecke_orbit_code': 18014398543037340, 'n': 8, 'trace_an': 0}
  • id: 37991517
    {'hecke_orbit_code': 18014398543037340, 'n': 9, 'trace_an': 1}
  • id: 37991518
    {'hecke_orbit_code': 18014398543037340, 'n': 10, 'trace_an': 0}
  • id: 37991519
    {'hecke_orbit_code': 18014398543037340, 'n': 11, 'trace_an': -1}
  • id: 37991520
    {'hecke_orbit_code': 18014398543037340, 'n': 12, 'trace_an': 0}
  • id: 37991521
    {'hecke_orbit_code': 18014398543037340, 'n': 13, 'trace_an': 3}
  • id: 37991522
    {'hecke_orbit_code': 18014398543037340, 'n': 14, 'trace_an': 0}
  • id: 37991523
    {'hecke_orbit_code': 18014398543037340, 'n': 15, 'trace_an': -3}
  • id: 37991524
    {'hecke_orbit_code': 18014398543037340, 'n': 16, 'trace_an': 0}
  • id: 37991525
    {'hecke_orbit_code': 18014398543037340, 'n': 17, 'trace_an': -2}
  • id: 37991526
    {'hecke_orbit_code': 18014398543037340, 'n': 18, 'trace_an': 0}
  • id: 37991527
    {'hecke_orbit_code': 18014398543037340, 'n': 19, 'trace_an': -3}
  • id: 37991528
    {'hecke_orbit_code': 18014398543037340, 'n': 20, 'trace_an': 0}
  • id: 37991529
    {'hecke_orbit_code': 18014398543037340, 'n': 21, 'trace_an': -1}
  • id: 37991530
    {'hecke_orbit_code': 18014398543037340, 'n': 22, 'trace_an': 0}
  • id: 37991531
    {'hecke_orbit_code': 18014398543037340, 'n': 23, 'trace_an': -4}
  • id: 37991532
    {'hecke_orbit_code': 18014398543037340, 'n': 24, 'trace_an': 0}
  • id: 37991533
    {'hecke_orbit_code': 18014398543037340, 'n': 25, 'trace_an': 4}
  • id: 37991534
    {'hecke_orbit_code': 18014398543037340, 'n': 26, 'trace_an': 0}
  • id: 37991535
    {'hecke_orbit_code': 18014398543037340, 'n': 27, 'trace_an': 1}
  • id: 37991536
    {'hecke_orbit_code': 18014398543037340, 'n': 28, 'trace_an': 0}
  • id: 37991537
    {'hecke_orbit_code': 18014398543037340, 'n': 29, 'trace_an': -9}
  • id: 37991538
    {'hecke_orbit_code': 18014398543037340, 'n': 30, 'trace_an': 0}
  • id: 37991539
    {'hecke_orbit_code': 18014398543037340, 'n': 31, 'trace_an': -2}
  • id: 37991540
    {'hecke_orbit_code': 18014398543037340, 'n': 32, 'trace_an': 0}
  • id: 37991541
    {'hecke_orbit_code': 18014398543037340, 'n': 33, 'trace_an': -1}
  • id: 37991542
    {'hecke_orbit_code': 18014398543037340, 'n': 34, 'trace_an': 0}
  • id: 37991543
    {'hecke_orbit_code': 18014398543037340, 'n': 35, 'trace_an': 3}
  • id: 37991544
    {'hecke_orbit_code': 18014398543037340, 'n': 36, 'trace_an': 0}
  • id: 37991545
    {'hecke_orbit_code': 18014398543037340, 'n': 37, 'trace_an': -11}
  • id: 37991546
    {'hecke_orbit_code': 18014398543037340, 'n': 38, 'trace_an': 0}
  • id: 37991547
    {'hecke_orbit_code': 18014398543037340, 'n': 39, 'trace_an': 3}
  • id: 37991548
    {'hecke_orbit_code': 18014398543037340, 'n': 40, 'trace_an': 0}
  • id: 37991549
    {'hecke_orbit_code': 18014398543037340, 'n': 41, 'trace_an': -4}
  • id: 37991550
    {'hecke_orbit_code': 18014398543037340, 'n': 42, 'trace_an': 0}
  • id: 37991551
    {'hecke_orbit_code': 18014398543037340, 'n': 43, 'trace_an': -4}
  • id: 37991552
    {'hecke_orbit_code': 18014398543037340, 'n': 44, 'trace_an': 0}
  • id: 37991553
    {'hecke_orbit_code': 18014398543037340, 'n': 45, 'trace_an': -3}
  • id: 37991554
    {'hecke_orbit_code': 18014398543037340, 'n': 46, 'trace_an': 0}
  • id: 37991555
    {'hecke_orbit_code': 18014398543037340, 'n': 47, 'trace_an': -3}
  • id: 37991556
    {'hecke_orbit_code': 18014398543037340, 'n': 48, 'trace_an': 0}
  • id: 37991557
    {'hecke_orbit_code': 18014398543037340, 'n': 49, 'trace_an': 1}
  • id: 37991558
    {'hecke_orbit_code': 18014398543037340, 'n': 50, 'trace_an': 0}
  • id: 37991559
    {'hecke_orbit_code': 18014398543037340, 'n': 51, 'trace_an': -2}
  • id: 37991560
    {'hecke_orbit_code': 18014398543037340, 'n': 52, 'trace_an': 0}
  • id: 37991561
    {'hecke_orbit_code': 18014398543037340, 'n': 53, 'trace_an': -4}
  • id: 37991562
    {'hecke_orbit_code': 18014398543037340, 'n': 54, 'trace_an': 0}
  • id: 37991563
    {'hecke_orbit_code': 18014398543037340, 'n': 55, 'trace_an': 3}
  • id: 37991564
    {'hecke_orbit_code': 18014398543037340, 'n': 56, 'trace_an': 0}
  • id: 37991565
    {'hecke_orbit_code': 18014398543037340, 'n': 57, 'trace_an': -3}
  • id: 37991566
    {'hecke_orbit_code': 18014398543037340, 'n': 58, 'trace_an': 0}
  • id: 37991567
    {'hecke_orbit_code': 18014398543037340, 'n': 59, 'trace_an': -3}
  • id: 37991568
    {'hecke_orbit_code': 18014398543037340, 'n': 60, 'trace_an': 0}
  • id: 37991569
    {'hecke_orbit_code': 18014398543037340, 'n': 61, 'trace_an': 10}
  • id: 37991570
    {'hecke_orbit_code': 18014398543037340, 'n': 62, 'trace_an': 0}
  • id: 37991571
    {'hecke_orbit_code': 18014398543037340, 'n': 63, 'trace_an': -1}
  • id: 37991572
    {'hecke_orbit_code': 18014398543037340, 'n': 64, 'trace_an': 0}
  • id: 37991573
    {'hecke_orbit_code': 18014398543037340, 'n': 65, 'trace_an': -9}
  • id: 37991574
    {'hecke_orbit_code': 18014398543037340, 'n': 66, 'trace_an': 0}
  • id: 37991575
    {'hecke_orbit_code': 18014398543037340, 'n': 67, 'trace_an': 11}
  • id: 37991576
    {'hecke_orbit_code': 18014398543037340, 'n': 68, 'trace_an': 0}
  • id: 37991577
    {'hecke_orbit_code': 18014398543037340, 'n': 69, 'trace_an': -4}
  • id: 37991578
    {'hecke_orbit_code': 18014398543037340, 'n': 70, 'trace_an': 0}
  • id: 37991579
    {'hecke_orbit_code': 18014398543037340, 'n': 71, 'trace_an': 4}
  • id: 37991580
    {'hecke_orbit_code': 18014398543037340, 'n': 72, 'trace_an': 0}
  • id: 37991581
    {'hecke_orbit_code': 18014398543037340, 'n': 73, 'trace_an': 9}
  • id: 37991582
    {'hecke_orbit_code': 18014398543037340, 'n': 74, 'trace_an': 0}
  • id: 37991583
    {'hecke_orbit_code': 18014398543037340, 'n': 75, 'trace_an': 4}
  • id: 37991584
    {'hecke_orbit_code': 18014398543037340, 'n': 76, 'trace_an': 0}
  • id: 37991585
    {'hecke_orbit_code': 18014398543037340, 'n': 77, 'trace_an': 1}
  • id: 37991586
    {'hecke_orbit_code': 18014398543037340, 'n': 78, 'trace_an': 0}
  • id: 37991587
    {'hecke_orbit_code': 18014398543037340, 'n': 79, 'trace_an': -4}
  • id: 37991588
    {'hecke_orbit_code': 18014398543037340, 'n': 80, 'trace_an': 0}
  • id: 37991589
    {'hecke_orbit_code': 18014398543037340, 'n': 81, 'trace_an': 1}
  • id: 37991590
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  • id: 37991591
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  • id: 37991592
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  • id: 37991593
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  • id: 37991594
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  • id: 37991595
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  • id: 37991596
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  • id: 37991597
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  • id: 37991598
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  • id: 37991599
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  • id: 37991600
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  • id: 37991601
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  • id: 37991602
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  • id: 37991603
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  • id: 37991604
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  • id: 37991605
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  • id: 37991606
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  • id: 37991607
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  • id: 37991608
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  • id: 37991609
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  • id: 37991610
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  • id: 37991611
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  • id: 37991612
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  • id: 37991613
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  • id: 37991614
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  • id: 37991615
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  • id: 37991616
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  • id: 37991617
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  • id: 37991618
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  • id: 37991619
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  • id: 37991620
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  • id: 37991621
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  • id: 37991622
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  • id: 37991623
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  • id: 37991624
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  • id: 37991625
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  • id: 37991626
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  • id: 37991627
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  • id: 37991628
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  • id: 37991629
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  • id: 37991630
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  • id: 37991631
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  • id: 37991632
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  • id: 37991633
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  • id: 37991634
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  • id: 37991635
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  • id: 37991636
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  • id: 37991637
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  • id: 37991638
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  • id: 37991639
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  • id: 37991640
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  • id: 37991641
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  • id: 37991642
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  • id: 37991643
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  • id: 37991644
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  • id: 37991645
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  • id: 37991646
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  • id: 37991647
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  • id: 37991648
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  • id: 37991649
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  • id: 37991650
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  • id: 37991651
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  • id: 37991652
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  • id: 37991653
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  • id: 37991654
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  • id: 37991655
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  • id: 37991656
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  • id: 37991657
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  • id: 37991658
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  • id: 37991659
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  • id: 37991660
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  • id: 37991661
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  • id: 37991662
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  • id: 37991663
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  • id: 37991664
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  • id: 37991665
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  • id: 37991666
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  • id: 37991667
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  • id: 37991668
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  • id: 37991669
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  • id: 37991670
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  • id: 37991671
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  • id: 37991672
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  • id: 37991673
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  • id: 37991674
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  • id: 37991675
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  • id: 37991676
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  • id: 37991677
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  • id: 37991678
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  • id: 37991679
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  • id: 37991680
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  • id: 37991681
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  • id: 37991682
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  • id: 37991683
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  • id: 37991684
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  • id: 37991685
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  • id: 37991686
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  • id: 37991687
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  • id: 37991688
    {'hecke_orbit_code': 18014398543037340, 'n': 503, 'trace_an': 0}
  • id: 37991689
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  • id: 37991690
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  • id: 37991691
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  • id: 37991692
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  • id: 37991693
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  • id: 37991694
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  • id: 37991695
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  • id: 37991696
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  • id: 37991697
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  • id: 37991698
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  • id: 37991699
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  • id: 37991700
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  • id: 37991701
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  • id: 37991702
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  • id: 37991703
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  • id: 37991704
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  • id: 37991705
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  • id: 37991706
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  • id: 37991707
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  • id: 37991708
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  • id: 37991709
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  • id: 37991710
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  • id: 37991711
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  • id: 37991712
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  • id: 37991713
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  • id: 37991714
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  • id: 37991715
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  • id: 37991716
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  • id: 37991717
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  • id: 37991718
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  • id: 37991719
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  • id: 37991720
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  • id: 37991721
    {'hecke_orbit_code': 18014398543037340, 'n': 701, 'trace_an': -10}
  • id: 37991722
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  • id: 37991723
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  • id: 37991724
    {'hecke_orbit_code': 18014398543037340, 'n': 727, 'trace_an': 40}
  • id: 37991725
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  • id: 37991726
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  • id: 37991727
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  • id: 37991728
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  • id: 37991729
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  • id: 37991730
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  • id: 37991731
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  • id: 37991732
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  • id: 37991733
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  • id: 37991734
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  • id: 37991735
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  • id: 37991736
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  • id: 37991737
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  • id: 37991738
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  • id: 37991739
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  • id: 37991740
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  • id: 37991741
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  • id: 37991742
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  • id: 37991743
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  • id: 37991744
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  • id: 37991745
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  • id: 37991746
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  • id: 37991747
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  • id: 37991748
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  • id: 37991749
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  • id: 37991750
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  • id: 37991751
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  • id: 37991752
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  • id: 37991753
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  • id: 37991754
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  • id: 37991755
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  • id: 37991756
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  • id: 37991757
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  • id: 37991758
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  • id: 37991759
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  • id: 37991760
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  • id: 37991761
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  • id: 37991762
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  • id: 37991763
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  • id: 37991764
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  • id: 37991765
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  • id: 37991766
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