Newform data - 3960.2.d.c

Formats: - HTML - YAML - JSON - 2025-12-14T11:24:02.643048

• 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': 15840, 'analytic_conductor': 31.62075920042703, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [3960, 2, [991, 1981, 3521, 2377, 2521], [2, 2, 2, 1, 2]], 'cm_discs': [], 'conrey_index': 3169, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [4, 0, 1]], [29, [-2, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007405446729592, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '3960.2.d.c', 'level': 3960, '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, 5, 11], 'level_radical': 330, 'minimal_twist': '440.2.b.a', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+(-\\beta+1)q^{5}+\\beta q^{7}+q^{11}+2\\beta q^{17}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3960.2.d', 'trace_display': [0, 0, 2, 0], 'trace_hash': 439832357051218880, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.953', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '15.789', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '161.290', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.518', 'prec': 17}, 'traces': [2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -6, 0, 0, 0, 4, 0, 16, 0, 0, 0, 8, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 2, 0, 0, 0, 8, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 16, 0, 0, 0, -20, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -24, 0, 0, 0, -16, 0, 2, 0, 0, 0, -22, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 4, 0, 0, 0, -44, 0, -16, 0, 0, 0, 16, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 26, 0, 0, 0, 0, 0, 16, 0, 0, 0, 40, 0, -20, 0, 0, 0, -16, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 12, 0, 0, 0, -8, 0, 40, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 8, 0, 0, 0, 16, 0, -60, 0, 0, 0, 6, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -48, 0, 0, 0, 52, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -24, 0, 0, 0, 28, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 40, 0, 0, 0, 40, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -16, 0, 0, 0, -32, 0, -6, 0, 0, 0, -16, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 8, 0, 0, 0, 36, 0, 48, 0, 0, 0, 16, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 8, 0, 0, 0, -56, 0, 60, 0, 0, 0, 32, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -20, 0, 0, 0, -52, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 24, 0, 0, 0, 16, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 20, 0, 0, 0, 4, 0, 16, 0, 0, 0, 56, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, -26, 0, 0, 0, 0, 0, 8, 0, 0, 0, 6, 0, -36, 0, 0, 0, 28, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 12, 0, -88, 0, 0, 0, -48, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -16, 0, 0, 0, -64, 0, -44, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -14, 0, 0, 0, 32, 0, 48, 0, 0, 0, -56, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 24, 0, 0, 0, 24, 0, -4, 0, 0, 0, -32, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 24, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, -56, 0, 0, 0, -12, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, -44, 0, 0, 0, -8, 0, -64, 0, 0, 0, -16, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, -48, 0, 0, 0, -48, 0, -16, 0, 0, 0, -16, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 24, 0, 0, 0, 44, 0, 8, 0, 0, 0, -56, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 24, 0, 0, 0, -48, 0, -50, 0, 0, 0, 26, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -32, 0, 0, 0, 16, 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0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 16, 0, 0, 0, 28, 0, -60, 0, 0, 0, -60, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -18, 0, 0, 0, 100, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -24, 0, 0, 0, -72, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 136, 0, 0, 0, 16, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 24, 0, 0, 0, 128, 0, -60, 0, 0, 0, -96, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 64, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, -22, 0, 0, 0, 96, 0, 44, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, -132, 0, -16, 0, 0, 0, -104, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 24, 0, 0, 0, 2, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -80, 0, 0, 0, -24, 0, 0, 0, 0, 0, -52, 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0, 92, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 116, 0, 0, 0, -6, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -32, 0, 0, 0, 64, 0, 32, 0, 0, 0, -72, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 48, 0, 0, 0, 26, 0, -84, 0, 0, 0, -128, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 224, 0, 0, 0, -40, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -24, 0, 0, 0, -80, 0, 64, 0, 0, 0, 16, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 36, 0, 0, 0, -60, 0, 64, 0, 0, 0, 48, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -48, 0, 0, 0, -56, 0, 104, 0, 0, 0, -16, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, -160, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0], [0, 0], [0, 0], [0, 0], [1, -1], [0, 0], [0, 1], [0, 0], [0, 0], [0, 0], [1, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 2], [0, 0], [-4, 0], [0, 0], [0, 0], [0, 0], [0, -3], [0, 0], [-3, -2], [0, 0], [0, 0], [0, 0], [2, 0], [0, 0], [8, 0], [0, 0], [0, 0], [0, 0], [4, 1], [0, 0], [0, -2], [0, 0], [0, 0], [0, 0], [6, 0], [0, 0], [0, 3], [0, 0], [0, 0], [0, 0], [0, 1], [0, 0], [3, 0], [0, 0], [0, 0], [0, 0], [0, -6], [0, 0], [1, -1], [0, 0], [0, 0], [0, 0], [4, 0], [0, 0], [14, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 5], [0, 0], [0, 0], [0, 0], [-8, 0], [0, 0], [0, -2], [0, 0], [0, 0], [0, 0], [0, 1], [0, 0], [8, 0], [0, 0], [0, 0], [0, 0], [0, 1], [0, 0], [8, 2], [0, 0], [0, 0], [0, 0], [-10, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [-4, 4], [0, 0], [0, -4], [0, 0], [0, 0], [0, 0]], 'ap': [[0, 0], [0, 0], [1, -1], [0, 1], [1, 0], [0, 0], [0, 2], [-4, 0], [0, -3], [2, 0], [8, 0], [0, -2], [6, 0], [0, 3], [0, 1], [0, -6], [4, 0], [14, 0], [0, 5], [-8, 0], [0, -2], [8, 0], [0, 1], [-10, 0], [0, -4], [10, 0], [0, 7], [0, 1], [14, 0], [0, -4], [0, -7], [12, 0], [0, 0], [12, 0], [-22, 0], [-8, 0], [0, -2], [0, -7], [0, 3], [0, -4], [20, 0], [-10, 0], [24, 0], [0, 2], [0, -12], [-8, 0], [20, 0], [0, 7], [0, 9], [6, 0], [0, -2], [8, 0], [-30, 0], [-12, 0], [0, 0], [0, 3], [26, 0], [0, 0], [0, 16], [-26, 0], [0, -13], [0, 4], [0, -13], [-8, 0], [0, -12], [0, 10], [20, 0], [0, -10], [0, 9], [14, 0], [0, 16], [-16, 0], [0, -9], [0, -16], [-20, 0], [0, -3], [18, 0], [0, -2], [-34, 0], [26, 0], [-28, 0], [30, 0], [-24, 0], [0, 4], [-8, 0], [0, -13], [-26, 0], [0, 14], [18, 0], [0, -9], [0, 11], [8, 0], [0, 3], [12, 0], [20, 0], [0, 15], [2, 0], [38, 0], [0, 7], [-18, 0], [0, 15], [0, 16], [0, 21], [6, 0], [-44, 0], [0, 4], [0, -9], [0, -18], [-32, 0], [-22, 0], [0, 9], [0, -8], [0, -16], [-12, 0], [24, 0], [-26, 0], [0, 1], [0, -15], [0, -18], [12, 0], [-2, 0], [0, -22], [0, 0], [0, -9], [-44, 0], [-30, 0], [6, 0], [-8, 0], [0, 15], [0, 12], [-44, 0], [0, 3], [-32, 0], [0, 10], [-10, 0], [34, 0], [0, 18], [0, 3], [0, 18], [22, 0], [4, 0], [-6, 0], [0, 7], [0, 17], [-10, 0], [-24, 0], [0, -8], [0, -2], [4, 0], [0, 13], [0, -8], [-26, 0], [0, 1], [0, 3], [0, 1], [24, 0], [-40, 0], [-42, 0], [0, -2], [-30, 0], [0, 11], [0, -18], [0, 29], [12, 0], [0, 12], [0, -15], [-24, 0], [0, 4], [18, 0], [0, 18], [20, 0], [-2, 0], [-40, 0], [0, -6], [-24, 0], [-26, 0], [-44, 0], [-6, 0], [0, 1], [-34, 0], [0, 11], [-28, 0], [0, 18], [0, -22], [0, 1], [42, 0], [0, 32], [0, 13], [-6, 0], [40, 0], [0, 28], [0, -11], [4, 0], [26, 0], [0, 25], [0, 12], [-30, 0], [0, 2], [0, 6], [0, -21], [50, 0], [56, 0], [0, -10], [-14, 0], [-36, 0], [0, 2], [-16, 0], [0, 5], [54, 0], [68, 0], [0, -14], [-30, 0], [0, -17], [0, 23], [64, 0], [-30, 0], [0, 5], [30, 0], [0, -7], [0, 22], [22, 0], [0, 0], [-66, 0], [0, -13], [0, -27], [6, 0], [0, -24], [0, 0], [0, 21], [52, 0], [0, -2], [4, 0], [-40, 0], [-26, 0], [0, -23], [0, -5], [26, 0], [0, 28], [-44, 0], [0, 0], [0, -9], [-20, 0], [0, 31], [46, 0], [0, -6], [-48, 0], [0, -9], [-52, 0], [12, 0], [0, -9], [0, 4], [-18, 0], [0, 33], [2, 0], [0, -36], [-36, 0], [54, 0], [0, -13], [0, 22], [0, 22], [0, -31], [0, -15], [-26, 0], [0, -8], [0, 24], [-44, 0], [18, 0], [70, 0], [0, -37], [0, 12], [-18, 0], [0, -11], [0, -40], [32, 0], [0, -14], [0, -29], [0, 15], [46, 0], [58, 0], [-36, 0], [0, -1], [16, 0], [0, -41], [-42, 0], [0, -29], [24, 0], [0, 20], [0, -8], [80, 0], [30, 0], [42, 0], [0, -9], [0, -18], [4, 0], [0, 32], [-30, 0], [32, 0], [0, -6], [-28, 0], [0, 19], [0, -22], [0, 16], [-80, 0]], 'char_orbit_index': 4, 'field_poly': [1, 0, 1], 'hecke_orbit_code': 9007405446729592, 'hecke_ring_character_values': [[991, [1, 0]], [1981, [1, 0]], [3521, [1, 0]], [2377, [-1, 0]], [2521, [1, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1], 'hecke_ring_inverse_denominators': [1, 2], 'hecke_ring_inverse_numerators': [[1, 0], [0, 1]], 'hecke_ring_numerators': [[1, 0], [0, 2]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '3960.2.d.c', 'level': 3960, 'maxp': 1999, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 15840, 'analytic_conductor': 31.62075920042703, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [3960, 2, [991, 1981, 3521, 2377, 2521], [2, 2, 2, 1, 2]], 'conrey_index': 3169, 'cusp_dim': 832, 'dim': 74, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 29], 'hecke_orbit_code': 206191988600, 'hecke_orbit_dims': [2, 2, 2, 6, 6, 8, 10, 10, 14, 14], 'label': '3960.2.d', 'level': 3960, '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, 5, 11], 'level_radical': 330, 'mf_dim': 896, 'mf_new_dim': 74, 'num_forms': 10, 'prim_orbit_index': 2, 'relative_dim': 74, 'sturm_bound': 1728, 'trace_bound': 11, 'trace_display': [0, 0, 4, 0], 'traces': [74, 0, 0, 0, 4, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, -28, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -78, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 28, 0, 0, 0, 16, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 20, 0, 0, 0, -52, 0, 88, 0, 0, 0, -72, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 18, 0, 0, 0, 28, 0, 74, 0, 0, 0, 22, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, -20, 0, 0, 0, 52, 0, -64, 0, 0, 0, -66, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -102, 0, 0, 0, 0, 0, 68, 0, 0, 0, 116, 0, -120, 0, 0, 0, -46, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, -92, 0, 0, 0, 0, 0, -84, 0, 0, 0, -20, 0, -8, 0, 0, 0, -52, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -60, 0, 0, 0, 16, 0, 60, 0, 0, 0, 20, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, -52, 0, 0, 0, 52, 0, 80, 0, 0, 0, -8, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 90, 0, 0, 0, 8, 0, -24, 0, 0, 0, -20, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 144, 0, 44, 0, 0, 0, -2, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, -22, 0, 0, 0, 160, 0, 54, 0, 0, 0, 64, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -24, 0, 0, 0, -8, 0, -168, 0, 0, 0, 36, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 36, 0, 0, 0, 160, 0, 164, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 200, 0, 0, 0, 0, 0, 138, 0, 0, 0, 64, 0, 28, 0, 0, 0, -128, 0, 0, 0, 0, 0, -124, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 88, 0, 0, 0, -160, 0, -152, 0, 0, 0, -10, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 240, 0, 0, 0, -168, 0, -200, 0, 0, 0, 28, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -190, 0, 0, 0, 0, 0, -172, 0, 0, 0, 54, 0, -92, 0, 0, 0, -72, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -2, 0, 0, 0, 180, 0, -32, 0, 0, 0, -22, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, -200, 0, 0, 0, -172, 0, 84, 0, 0, 0, 4, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 148, 0, 0, 0, 56, 0, 224, 0, 0, 0, 176, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 44, 0, 0, 0, -16, 0, 128, 0, 0, 0, -116, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 22, 0, 0, 0, -184, 0, -188, 0, 0, 0, 12, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, -16, 0, 0, 0, -88, 0, -312, 0, 0, 0, -36, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 280, 0, 0, 0, 0, 0, 120, 0, 0, 0, -264, 0, -48, 0, 0, 0, -68, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 6, 0, 0, 0, -16, 0, 4, 0, 0, 0, 58, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 132, 0, 0, 0, 316, 0, -56, 0, 0, 0, -168, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 88, 0, 0, 0, -116, 0, 90, 0, 0, 0, 60, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, -196, 0, 0, 0, 0, 0, 140, 0, 0, 0, -40, 0, -200, 0, 0, 0, 312, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 30, 0, 0, 0, -168, 0, -304, 0, 0, 0, -42, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -314, 0, 0, 0, 104, 0, 216, 0, 0, 0, -48, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, -194, 0, 0, 0, 88, 0, 418, 0, 0, 0, -104, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 4, 0, 0, 0, -8, 0, 336, 0, 0, 0, 144, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

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

  
  
  • id: 1176071
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '3960.2.d.c', 'source_level': 3960, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '440.2.b.a', 'target_level': 440, 'twist_class_label': '440.2.b.a', 'twist_class_level': 440, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1176072
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '3960.2.d.c', 'source_level': 3960, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '440.2.b.a', 'target_level': 440, 'twist_class_label': '440.2.b.a', 'twist_class_level': 440, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1176073
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '3960.2.d.c', 'source_level': 3960, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '880.2.b.b', 'target_level': 880, 'twist_class_label': '440.2.b.a', 'twist_class_level': 440, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1176074
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '3960.2.d.c', 'source_level': 3960, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '880.2.b.b', 'target_level': 880, 'twist_class_label': '440.2.b.a', 'twist_class_level': 440, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1176075
    {'conductor': 15, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '3960.2.d.c', 'source_level': 3960, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '2200.2.a.c', 'target_level': 2200, 'twist_class_label': '440.2.b.a', 'twist_class_level': 440, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1176076
    {'conductor': 15, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '3960.2.d.c', 'source_level': 3960, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '2200.2.a.i', 'target_level': 2200, 'twist_class_label': '440.2.b.a', 'twist_class_level': 440, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1176077
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '3960.2.d.c', 'source_level': 3960, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '3960.2.d.c', 'target_level': 3960, 'twist_class_label': '440.2.b.a', 'twist_class_level': 440, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1176078
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '3960.2.d.c', 'source_level': 3960, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '3960.2.d.c', 'target_level': 3960, 'twist_class_label': '440.2.b.a', 'twist_class_level': 440, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1176079
    {'conductor': 60, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '3960.2.d.c', 'source_level': 3960, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '4400.2.a.h', 'target_level': 4400, 'twist_class_label': '440.2.b.a', 'twist_class_level': 440, 'twisting_char_label': '60.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 1176080
    {'conductor': 60, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '3960.2.d.c', 'source_level': 3960, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 24, 'target_is_minimal': False, 'target_label': '4400.2.a.x', 'target_level': 4400, 'twist_class_label': '440.2.b.a', 'twist_class_level': 440, 'twisting_char_label': '60.l', 'twisting_char_orbit': 12, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3448075
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007405446729592, 'p': 2}
  • id: 3448076
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007405446729592, 'p': 3}
  • id: 3448077
    {'charpoly_factorization': [[[5, -2, 1], 1]], 'hecke_orbit_code': 9007405446729592, 'p': 5}
  • id: 3448078
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 9007405446729592, 'p': 7}
  • id: 3448079
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 9007405446729592, 'p': 11}
  • id: 3448080
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007405446729592, 'p': 13}
  • id: 3448081
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 9007405446729592, 'p': 17}
  • id: 3448082
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 9007405446729592, 'p': 19}
  • id: 3448083
    {'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 9007405446729592, 'p': 23}
  • id: 3448084
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 9007405446729592, 'p': 29}
  • id: 3448085
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 9007405446729592, 'p': 31}
  • id: 3448086
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 9007405446729592, 'p': 37}
  • id: 3448087
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 9007405446729592, 'p': 41}
  • id: 3448088
    {'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 9007405446729592, 'p': 43}
  • id: 3448089
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 9007405446729592, 'p': 47}
  • id: 3448090
    {'charpoly_factorization': [[[144, 0, 1], 1]], 'hecke_orbit_code': 9007405446729592, 'p': 53}
  • id: 3448091
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 9007405446729592, 'p': 59}
  • id: 3448092
    {'charpoly_factorization': [[[-14, 1], 2]], 'hecke_orbit_code': 9007405446729592, 'p': 61}
  • id: 3448093
    {'charpoly_factorization': [[[100, 0, 1], 1]], 'hecke_orbit_code': 9007405446729592, 'p': 67}
  • id: 3448094
    {'charpoly_factorization': [[[8, 1], 2]], 'hecke_orbit_code': 9007405446729592, 'p': 71}
  • id: 3448095
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 9007405446729592, 'p': 73}
  • id: 3448096
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 9007405446729592, 'p': 79}
  • id: 3448097
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 9007405446729592, 'p': 83}
  • id: 3448098
    {'charpoly_factorization': [[[10, 1], 2]], 'hecke_orbit_code': 9007405446729592, 'p': 89}
  • id: 3448099
    {'charpoly_factorization': [[[64, 0, 1], 1]], 'hecke_orbit_code': 9007405446729592, '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': 4, 'hecke_orbit': 3, 'label': '3960.2.d.c', 'level': 3960, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 30248155
    {'hecke_orbit_code': 9007405446729592, 'n': 1, 'trace_an': 2}
  • id: 30248156
    {'hecke_orbit_code': 9007405446729592, 'n': 2, 'trace_an': 0}
  • id: 30248157
    {'hecke_orbit_code': 9007405446729592, 'n': 3, 'trace_an': 0}
  • id: 30248158
    {'hecke_orbit_code': 9007405446729592, 'n': 4, 'trace_an': 0}
  • id: 30248159
    {'hecke_orbit_code': 9007405446729592, 'n': 5, 'trace_an': 2}
  • id: 30248160
    {'hecke_orbit_code': 9007405446729592, 'n': 6, 'trace_an': 0}
  • id: 30248161
    {'hecke_orbit_code': 9007405446729592, 'n': 7, 'trace_an': 0}
  • id: 30248162
    {'hecke_orbit_code': 9007405446729592, 'n': 8, 'trace_an': 0}
  • id: 30248163
    {'hecke_orbit_code': 9007405446729592, 'n': 9, 'trace_an': 0}
  • id: 30248164
    {'hecke_orbit_code': 9007405446729592, 'n': 10, 'trace_an': 0}
  • id: 30248165
    {'hecke_orbit_code': 9007405446729592, 'n': 11, 'trace_an': 2}
  • id: 30248166
    {'hecke_orbit_code': 9007405446729592, 'n': 12, 'trace_an': 0}
  • id: 30248167
    {'hecke_orbit_code': 9007405446729592, 'n': 13, 'trace_an': 0}
  • id: 30248168
    {'hecke_orbit_code': 9007405446729592, 'n': 14, 'trace_an': 0}
  • id: 30248169
    {'hecke_orbit_code': 9007405446729592, 'n': 15, 'trace_an': 0}
  • id: 30248170
    {'hecke_orbit_code': 9007405446729592, 'n': 16, 'trace_an': 0}
  • id: 30248171
    {'hecke_orbit_code': 9007405446729592, 'n': 17, 'trace_an': 0}
  • id: 30248172
    {'hecke_orbit_code': 9007405446729592, 'n': 18, 'trace_an': 0}
  • id: 30248173
    {'hecke_orbit_code': 9007405446729592, 'n': 19, 'trace_an': -8}
  • id: 30248174
    {'hecke_orbit_code': 9007405446729592, 'n': 20, 'trace_an': 0}
  • id: 30248175
    {'hecke_orbit_code': 9007405446729592, 'n': 21, 'trace_an': 0}
  • id: 30248176
    {'hecke_orbit_code': 9007405446729592, 'n': 22, 'trace_an': 0}
  • id: 30248177
    {'hecke_orbit_code': 9007405446729592, 'n': 23, 'trace_an': 0}
  • id: 30248178
    {'hecke_orbit_code': 9007405446729592, 'n': 24, 'trace_an': 0}
  • id: 30248179
    {'hecke_orbit_code': 9007405446729592, 'n': 25, 'trace_an': -6}
  • id: 30248180
    {'hecke_orbit_code': 9007405446729592, 'n': 26, 'trace_an': 0}
  • id: 30248181
    {'hecke_orbit_code': 9007405446729592, 'n': 27, 'trace_an': 0}
  • id: 30248182
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  • id: 30248183
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  • id: 30248184
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  • id: 30248185
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  • id: 30248186
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  • id: 30248187
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  • id: 30248188
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  • id: 30248189
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  • id: 30248190
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  • id: 30248191
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  • id: 30248192
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  • id: 30248193
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  • id: 30248194
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  • id: 30248195
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  • id: 30248196
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  • id: 30248197
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  • id: 30248198
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  • id: 30248199
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  • id: 30248200
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  • id: 30248201
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  • id: 30248202
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  • id: 30248203
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  • id: 30248204
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  • id: 30248205
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  • id: 30248206
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  • id: 30248207
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  • id: 30248208
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  • id: 30248209
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  • id: 30248210
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  • id: 30248211
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  • id: 30248212
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  • id: 30248213
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  • id: 30248214
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  • id: 30248215
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  • id: 30248216
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  • id: 30248217
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  • id: 30248218
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  • id: 30248219
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  • id: 30248220
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  • id: 30248221
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  • id: 30248222
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  • id: 30248223
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  • id: 30248224
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  • id: 30248225
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  • id: 30248226
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  • id: 30248227
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  • id: 30248228
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  • id: 30248229
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  • id: 30248230
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  • id: 30248231
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  • id: 30248232
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  • id: 30248233
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  • id: 30248234
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  • id: 30248235
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  • id: 30248236
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  • id: 30248237
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  • id: 30248238
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  • id: 30248239
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  • id: 30248240
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  • id: 30248241
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  • id: 30248242
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  • id: 30248243
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  • id: 30248244
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  • id: 30248245
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  • id: 30248246
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  • id: 30248247
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  • id: 30248248
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  • id: 30248249
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  • id: 30248250
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  • id: 30248251
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  • id: 30248252
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  • id: 30248253
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  • id: 30248254
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  • id: 30248255
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  • id: 30248256
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  • id: 30248257
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  • id: 30248258
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  • id: 30248259
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  • id: 30248260
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  • id: 30248261
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  • id: 30248262
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  • id: 30248263
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  • id: 30248264
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  • id: 30248265
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  • id: 30248266
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  • id: 30248267
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  • id: 30248268
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  • id: 30248269
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  • id: 30248270
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  • id: 30248271
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  • id: 30248272
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  • id: 30248273
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  • id: 30248274
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  • id: 30248275
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  • id: 30248276
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  • id: 30248277
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  • id: 30248278
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  • id: 30248279
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  • id: 30248280
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  • id: 30248281
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  • id: 30248282
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  • id: 30248283
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  • id: 30248284
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  • id: 30248285
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  • id: 30248286
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  • id: 30248287
    {'hecke_orbit_code': 9007405446729592, 'n': 243, 'trace_an': 0}
  • id: 30248288
    {'hecke_orbit_code': 9007405446729592, 'n': 251, 'trace_an': -24}
  • id: 30248289
    {'hecke_orbit_code': 9007405446729592, 'n': 256, 'trace_an': 0}
  • id: 30248290
    {'hecke_orbit_code': 9007405446729592, 'n': 257, 'trace_an': 0}
  • id: 30248291
    {'hecke_orbit_code': 9007405446729592, 'n': 263, 'trace_an': 0}
  • id: 30248292
    {'hecke_orbit_code': 9007405446729592, 'n': 269, 'trace_an': 52}
  • id: 30248293
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  • id: 30248294
    {'hecke_orbit_code': 9007405446729592, 'n': 277, 'trace_an': 0}
  • id: 30248295
    {'hecke_orbit_code': 9007405446729592, 'n': 281, 'trace_an': -52}
  • id: 30248296
    {'hecke_orbit_code': 9007405446729592, 'n': 283, 'trace_an': 0}
  • id: 30248297
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  • id: 30248298
    {'hecke_orbit_code': 9007405446729592, 'n': 293, 'trace_an': 0}
  • id: 30248299
    {'hecke_orbit_code': 9007405446729592, 'n': 307, 'trace_an': 0}
  • id: 30248300
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  • id: 30248301
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  • id: 30248302
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  • id: 30248303
    {'hecke_orbit_code': 9007405446729592, 'n': 331, 'trace_an': 40}
  • id: 30248304
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  • id: 30248305
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  • id: 30248306
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  • id: 30248307
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  • id: 30248308
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  • id: 30248309
    {'hecke_orbit_code': 9007405446729592, 'n': 359, 'trace_an': -32}
  • id: 30248310
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  • id: 30248311
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  • id: 30248312
    {'hecke_orbit_code': 9007405446729592, 'n': 373, 'trace_an': 0}
  • id: 30248313
    {'hecke_orbit_code': 9007405446729592, 'n': 379, 'trace_an': -40}
  • id: 30248314
    {'hecke_orbit_code': 9007405446729592, 'n': 383, 'trace_an': 0}
  • id: 30248315
    {'hecke_orbit_code': 9007405446729592, 'n': 389, 'trace_an': 36}
  • id: 30248316
    {'hecke_orbit_code': 9007405446729592, 'n': 397, 'trace_an': 0}
  • id: 30248317
    {'hecke_orbit_code': 9007405446729592, 'n': 401, 'trace_an': -68}
  • id: 30248318
    {'hecke_orbit_code': 9007405446729592, 'n': 409, 'trace_an': 52}
  • id: 30248319
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  • id: 30248320
    {'hecke_orbit_code': 9007405446729592, 'n': 421, 'trace_an': 60}
  • id: 30248321
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  • id: 30248322
    {'hecke_orbit_code': 9007405446729592, 'n': 433, 'trace_an': 0}
  • id: 30248323
    {'hecke_orbit_code': 9007405446729592, 'n': 439, 'trace_an': -16}
  • id: 30248324
    {'hecke_orbit_code': 9007405446729592, 'n': 443, 'trace_an': 0}
  • id: 30248325
    {'hecke_orbit_code': 9007405446729592, 'n': 449, 'trace_an': -52}
  • id: 30248326
    {'hecke_orbit_code': 9007405446729592, 'n': 457, 'trace_an': 0}
  • id: 30248327
    {'hecke_orbit_code': 9007405446729592, 'n': 461, 'trace_an': 36}
  • id: 30248328
    {'hecke_orbit_code': 9007405446729592, 'n': 463, 'trace_an': 0}
  • id: 30248329
    {'hecke_orbit_code': 9007405446729592, 'n': 467, 'trace_an': 0}
  • id: 30248330
    {'hecke_orbit_code': 9007405446729592, 'n': 479, 'trace_an': 16}
  • id: 30248331
    {'hecke_orbit_code': 9007405446729592, 'n': 487, 'trace_an': 0}
  • id: 30248332
    {'hecke_orbit_code': 9007405446729592, 'n': 491, 'trace_an': 24}
  • id: 30248333
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  • id: 30248334
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  • id: 30248335
    {'hecke_orbit_code': 9007405446729592, 'n': 509, 'trace_an': 4}
  • id: 30248336
    {'hecke_orbit_code': 9007405446729592, 'n': 512, 'trace_an': 0}
  • id: 30248337
    {'hecke_orbit_code': 9007405446729592, 'n': 521, 'trace_an': 76}
  • id: 30248338
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  • id: 30248339
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  • id: 30248340
    {'hecke_orbit_code': 9007405446729592, 'n': 541, 'trace_an': -36}
  • id: 30248341
    {'hecke_orbit_code': 9007405446729592, 'n': 547, 'trace_an': 0}
  • id: 30248342
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  • id: 30248343
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  • id: 30248344
    {'hecke_orbit_code': 9007405446729592, 'n': 569, 'trace_an': 12}
  • id: 30248345
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  • id: 30248346
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  • id: 30248347
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  • id: 30248348
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  • id: 30248349
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  • id: 30248350
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  • id: 30248351
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  • id: 30248352
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  • id: 30248353
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  • id: 30248354
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  • id: 30248355
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  • id: 30248356
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  • id: 30248357
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  • id: 30248358
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  • id: 30248359
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  • id: 30248360
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  • id: 30248361
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  • id: 30248362
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  • id: 30248363
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  • id: 30248364
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  • id: 30248365
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  • id: 30248366
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  • id: 30248367
    {'hecke_orbit_code': 9007405446729592, 'n': 701, 'trace_an': -60}
  • id: 30248368
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  • id: 30248369
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  • id: 30248370
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  • id: 30248371
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  • id: 30248372
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  • id: 30248373
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  • id: 30248374
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  • id: 30248375
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  • id: 30248376
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  • id: 30248377
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  • id: 30248378
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  • id: 30248379
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  • id: 30248380
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  • id: 30248381
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  • id: 30248382
    {'hecke_orbit_code': 9007405446729592, 'n': 809, 'trace_an': 44}
  • id: 30248383
    {'hecke_orbit_code': 9007405446729592, 'n': 811, 'trace_an': 8}
  • id: 30248384
    {'hecke_orbit_code': 9007405446729592, 'n': 821, 'trace_an': -12}
  • id: 30248385
    {'hecke_orbit_code': 9007405446729592, 'n': 823, 'trace_an': 0}
  • id: 30248386
    {'hecke_orbit_code': 9007405446729592, 'n': 827, 'trace_an': 0}
  • id: 30248387
    {'hecke_orbit_code': 9007405446729592, 'n': 829, 'trace_an': -20}
  • id: 30248388
    {'hecke_orbit_code': 9007405446729592, 'n': 839, 'trace_an': -48}
  • id: 30248389
    {'hecke_orbit_code': 9007405446729592, 'n': 841, 'trace_an': -50}
  • id: 30248390
    {'hecke_orbit_code': 9007405446729592, 'n': 853, 'trace_an': 0}
  • id: 30248391
    {'hecke_orbit_code': 9007405446729592, 'n': 857, 'trace_an': 0}
  • id: 30248392
    {'hecke_orbit_code': 9007405446729592, 'n': 859, 'trace_an': 8}
  • id: 30248393
    {'hecke_orbit_code': 9007405446729592, 'n': 863, 'trace_an': 0}
  • id: 30248394
    {'hecke_orbit_code': 9007405446729592, 'n': 877, 'trace_an': 0}
  • id: 30248395
    {'hecke_orbit_code': 9007405446729592, 'n': 881, 'trace_an': -52}
  • id: 30248396
    {'hecke_orbit_code': 9007405446729592, 'n': 883, 'trace_an': 0}
  • id: 30248397
    {'hecke_orbit_code': 9007405446729592, 'n': 887, 'trace_an': 0}
  • id: 30248398
    {'hecke_orbit_code': 9007405446729592, 'n': 907, 'trace_an': 0}
  • id: 30248399
    {'hecke_orbit_code': 9007405446729592, 'n': 911, 'trace_an': 48}
  • id: 30248400
    {'hecke_orbit_code': 9007405446729592, 'n': 919, 'trace_an': -80}
  • id: 30248401
    {'hecke_orbit_code': 9007405446729592, 'n': 929, 'trace_an': -84}
  • id: 30248402
    {'hecke_orbit_code': 9007405446729592, 'n': 937, 'trace_an': 0}
  • id: 30248403
    {'hecke_orbit_code': 9007405446729592, 'n': 941, 'trace_an': -60}
  • id: 30248404
    {'hecke_orbit_code': 9007405446729592, 'n': 947, 'trace_an': 0}
  • id: 30248405
    {'hecke_orbit_code': 9007405446729592, 'n': 953, 'trace_an': 0}
  • id: 30248406
    {'hecke_orbit_code': 9007405446729592, 'n': 961, 'trace_an': 66}
  • id: 30248407
    {'hecke_orbit_code': 9007405446729592, 'n': 967, 'trace_an': 0}
  • id: 30248408
    {'hecke_orbit_code': 9007405446729592, 'n': 971, 'trace_an': 24}
  • id: 30248409
    {'hecke_orbit_code': 9007405446729592, 'n': 977, 'trace_an': 0}
  • id: 30248410
    {'hecke_orbit_code': 9007405446729592, 'n': 983, 'trace_an': 0}
  • id: 30248411
    {'hecke_orbit_code': 9007405446729592, 'n': 991, 'trace_an': -48}
  • id: 30248412
    {'hecke_orbit_code': 9007405446729592, 'n': 997, 'trace_an': 0}