Newform data - 1860.2.q.b

Formats: - HTML - YAML - JSON - 2026-09-10T04:56:51.729466

• 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': 7440, 'analytic_conductor': 14.85217477595815, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 31, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 3, 'char_parity': 1, 'char_values': [1860, 3, [931, 1241, 1117, 1801], [3, 3, 3, 1]], 'cm_discs': [], 'conrey_index': 1141, 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [0, 1]], [11, [16, -4, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4504699172554564, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 31, 3, 1, 3, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1860.2.q.b', 'level': 1860, '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, 31], 'level_radical': 930, 'minimal_twist': '1860.2.q.b', 'nf_label': '2.0.3.1', 'prim_orbit_index': 3, 'qexp_display': 'q+(-1+\\zeta_{6})q^{3}-\\zeta_{6}q^{5}-\\zeta_{6}q^{9}+4\\zeta_{6}q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1860.2.q', 'trace_display': [0, -1, -1, 0], 'trace_hash': 805095053213028551, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '2.023', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '12.081', 'prec': 17}, 0, {'__RealLiteral__': 0, 'data': '109.070', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.016', 'prec': 7}, 'traces': [2, 0, -1, 0, -1, 0, 0, 0, -1, 0, 4, 0, 3, 0, 2, 0, 4, 0, 5, 0, 0, 0, -4, 0, -1, 0, 2, 0, -12, 0, 4, 0, -8, 0, 0, 0, -7, 0, -6, 0, 8, 0, 1, 0, -1, 0, 12, 0, 7, 0, 4, 0, 4, 0, 4, 0, 5, 0, 0, 0, 20, 0, 0, 0, 3, 0, 4, 0, 2, 0, 6, 0, 7, 0, -1, 0, 0, 0, 12, 0, -1, 0, 2, 0, -8, 0, 6, 0, 8, 0, 0, 0, 7, 0, -10, 0, 18, 0, 4, 0, -12, 0, 11, 0, 0, 0, -14, 0, 18, 0, -7, 0, 2, 0, 2, 0, 3, 0, 0, 0, -5, 0, -16, 0, 2, 0, 3, 0, 1, 0, -8, 0, 0, 0, -1, 0, -2, 0, 40, 0, -6, 0, -12, 0, 6, 0, -14, 0, -14, 0, 10, 0, -8, 0, -11, 0, -26, 0, -8, 0, 0, 0, -38, 0, 4, 0, -6, 0, 4, 0, -10, 0, 10, 0, 0, 0, 0, 0, 14, 0, 19, 0, -10, 0, 14, 0, 32, 0, 0, 0, -24, 0, -7, 0, 3, 0, 4, 0, -16, 0, -8, 0, 0, 0, 8, 0, 2, 0, 40, 0, 5, 0, -12, 0, -2, 0, 0, 0, -14, 0, 24, 0, 7, 0, 2, 0, -28, 0, 7, 0, 0, 0, 8, 0, -6, 0, 12, 0, 6, 0, 15, 0, -1, 0, 7, 0, 30, 0, -4, 0, 6, 0, -8, 0, 4, 0, -14, 0, 0, 0, 6, 0, -52, 0, 4, 0, -4, 0, -20, 0, -26, 0, 0, 0, -8, 0, 26, 0, -11, 0, 8, 0, 46, 0, 5, 0, 0, 0, 1, 0, -9, 0, -34, 0, 0, 0, 4, 0, -6, 0, 0, 0, 6, 0, -10, 0, -19, 0, -22, 0, -36, 0, -3, 0, 0, 0, -18, 0, -24, 0, -14, 0, -20, 0, -6, 0, -9, 0, 0, 0, 17, 0, 14, 0, 4, 0, 4, 0, -4, 0, 44, 0, 0, 0, -4, 0, 32, 0, -42, 0, 3, 0, -10, 0, 6, 0, 0, 0, -26, 0, -6, 0, -5, 0, 7, 0, -11, 0, 8, 0, 0, 0, -2, 0, -1, 0, -18, 0, 27, 0, 3, 0, 20, 0, 0, 0, -2, 0, 18, 0, -8, 0, -8, 0, -24, 0, 6, 0, 0, 0, -32, 0, 33, 0, 2, 0, -56, 0, 35, 0, 4, 0, 0, 0, 2, 0, -20, 0, 44, 0, 10, 0, -6, 0, 4, 0, 0, 0, -12, 0, -18, 0, -50, 0, -12, 0, -10, 0, -19, 0, 7, 0, 14, 0, -4, 0, -14, 0, 48, 0, -32, 0, -5, 0, 0, 0, 82, 0, 4, 0, -24, 0, -2, 0, 4, 0, -12, 0, 0, 0, 13, 0, 8, 0, 5, 0, 4, 0, 6, 0, -42, 0, 0, 0, -9, 0, -35, 0, 19, 0, 8, 0, -24, 0, -8, 0, 0, 0, -4, 0, -6, 0, 0, 0, 6, 0, 4, 0, 10, 0, 0, 0, 5, 0, 11, 0, 24, 0, -20, 0, -30, 0, 64, 0, 0, 0, -28, 0, -38, 0, 0, 0, -24, 0, 28, 0, 14, 0, -28, 0, 43, 0, -38, 0, -9, 0, -1, 0, -10, 0, -30, 0, 0, 0, -7, 0, 12, 0, 6, 0, -16, 0, 0, 0, 2, 0, 0, 0, 2, 0, -19, 0, 48, 0, 2, 0, -14, 0, -7, 0, 0, 0, -16, 0, -6, 0, -36, 0, -35, 0, -8, 0, 24, 0, 0, 0, 32, 0, -22, 0, -14, 0, 4, 0, 10, 0, -23, 0, 0, 0, 18, 0, -23, 0, 8, 0, -20, 0, -42, 0, -4, 0, 0, 0, -1, 0, -20, 0, 28, 0, -8, 0, 5, 0, -6, 0, -21, 0, 6, 0, -46, 0, -2, 0, 1, 0, -84, 0, 0, 0, 0, 0, 96, 0, 16, 0, 7, 0, 64, 0, -23, 0, -12, 0, 0, 0, 24, 0, 7, 0, 40, 0, -46, 0, -1, 0, -28, 0, 0, 0, 56, 0, 4, 0, -2, 0, 7, 0, -12, 0, 28, 0, 0, 0, -20, 0, 64, 0, -4, 0, 20, 0, 35, 0, 12, 0, 0, 0, -38, 0, -24, 0, -8, 0, 24, 0, -12, 0, 26, 0, 0, 0, 15, 0, 6, 0, -15, 0, 2, 0, -4, 0, -13, 0, 7, 0, -16, 0, -7, 0, -15, 0, 60, 0, 28, 0, 2, 0, 0, 0, -17, 0, 6, 0, -5, 0, 22, 0, 16, 0, 34, 0, 0, 0, 4, 0, 0, 0, -46, 0, 28, 0, -12, 0, 7, 0, 0, 0, 80, 0, -24, 0, -12, 0, 13, 0, 9, 0, 26, 0, 0, 0, 30, 0, 4, 0, -24, 0, 24, 0, -4, 0, -28, 0, 0, 0, 40, 0, -24, 0, -35, 0, 13, 0, 19, 0, -5, 0, 0, 0, 36, 0, 16, 0, 4, 0, 18, 0, 50, 0, -13, 0, 56, 0, 12, 0, 4, 0, 96, 0, 14, 0, -4, 0, -8, 0, 0, 0, -23, 0, 14, 0, -82, 0, 5, 0, 0, 0, 25, 0, 0, 0, -56, 0, 10, 0, -2, 0, 96, 0, -12, 0, -9, 0, 0, 0, 53, 0, -34, 0, -14, 0, -22, 0, 0, 0, 48, 0, 0, 0, -8, 0, 30, 0, -28, 0, 12, 0, -24, 0, 32, 0, 0, 0, 19, 0, 24, 0, 6, 0, -44, 0, -8, 0, 20, 0, 0, 0, 11, 0, -19, 0, -18, 0, -7, 0, 11, 0, -76, 0, 70, 0, 18, 0, -16, 0, -55, 0, -3, 0, 20, 0, -16, 0, 0, 0, 18, 0, -21, 0, -18, 0, 60, 0, -24, 0, 48, 0, 0, 0, -46, 0, 28, 0, 14, 0, -4, 0, 40, 0, 42, 0, 0, 0, 3, 0, 0, 0, 16, 0, -9, 0, -30, 0, 4, 0, 0, 0, -2, 0, 70, 0, -34, 0, -16, 0, -6, 0, -7, 0, 0, 0, 0, 0, 4, 0, 40, 0, -10, 0, -2, 0, 56, 0, 0, 0, 2, 0, -24, 0, -122, 0, -16, 0, -16, 0, 72, 0, 0, 0, -12, 0, 30, 0, 2, 0, 40, 0, 80, 0, 32, 0, 0, 0, -20, 0, 21, 0, 6, 0, -53, 0, -6, 0, -10, 0, 0, 0, -10, 0, -8, 0, -25, 0, 6, 0, 36, 0, -92, 0, 0, 0, 42, 0, 1, 0, 52, 0, -6, 0, -24, 0, 12, 0, 0, 0, -102, 0, 10, 0, -30, 0, -52, 0, 7, 0, 0, 0, 0, 0, 22, 0, 40, 0, -12, 0, 8, 0, -10, 0, -24, 0, 0, 0, -14, 0, -118, 0, 1, 0, 0, 0, 11, 0, -1, 0, -14, 0, -37, 0, 36, 0, -44, 0, -28, 0, 27, 0, 32, 0, 0, 0, -6, 0, -14, 0, 49, 0, -40, 0, 48, 0, 14, 0, 0, 0, 12, 0, 50, 0, 1, 0, 84, 0, -4, 0, 18, 0, 0, 0, 17, 0, -8, 0, -6, 0, -112, 0, 16, 0, 28, 0, 0, 0, 12, 0, -32, 0, -48, 0, 6, 0, 72, 0, 6, 0, 0, 0, 36, 0, 108, 0, 16, 0, -30, 0, 48, 0, -12, 0, 0, 0, -38, 0, -1, 0, -68, 0, -8, 0, 28, 0, 40, 0, -14, 0, 35, 0, 48, 0, 17, 0, -2, 0, -15, 0, -30, 0, 0, 0, 56, 0, -8, 0, 2, 0, -6, 0, 27, 0, -20, 0, 0, 0, -12, 0, -22, 0, -42, 0, 27, 0, -20, 0, -8, 0, 0, 0, 12, 0, 88, 0, 40, 0, -8, 0, 0, 0, 42, 0, 0, 0, -60, 0, -14, 0, 24, 0, -50, 0, -9, 0, -18, 0, 0, 0, -27, 0, 25, 0, -48, 0, 130, 0, 6, 0, -60, 0, 0, 0, -10, 0, -18, 0, 26, 0, 38, 0, -58, 0, -15, 0, 7, 0, -8, 0, -35, 0, -28, 0, 48, 0, -7, 0, 8, 0, 0, 0, -33, 0, 28, 0, -48, 0, -20, 0, -24, 0, 60, 0, 0, 0, -32, 0, 13, 0, 0, 0, -5, 0, 52, 0, -72, 0, 0, 0, 68, 0, -12, 0, -41, 0, 60, 0, 4, 0, 4, 0, 0, 0, 11, 0, 12, 0, -13, 0, 70, 0, 1, 0, -84, 0, 0, 0, 7, 0, 24, 0, -58, 0, 6, 0, -40, 0, -4, 0, 0, 0, -16, 0, 16, 0, 13, 0, -23, 0, 27, 0, -4, 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0, 0, 0, -48, 0, -28, 0, -4, 0, 120, 0, 0, 0, 38, 0, 0, 0, -24, 0, -24, 0, -56, 0, 4, 0, 2, 0, -52, 0, 0, 0, -14, 0, 40, 0, -64, 0, 14, 0, -42, 0, -11, 0, 0, 0, 21, 0, -44, 0, -16, 0, 88, 0, 38, 0, 3, 0, 0, 0, 22, 0, 18, 0, 16, 0, 20, 0, 55, 0, -120, 0, 0, 0, 4, 0, -12, 0, -41, 0, -12, 0, 6, 0, -30, 0, 0, 0, 22, 0, 30, 0, -16, 0, -76, 0, -26, 0, 44, 0, 0, 0, 53, 0, -14, 0, -6, 0, 60, 0, 4, 0, 22, 0, -98, 0, -5, 0, -24, 0, 56, 0, 46, 0, 12, 0, -14, 0, 0, 0, 0, 0, -158, 0, -36, 0, -11, 0, -48, 0, -23, 0, 0, 0, 45, 0, -16, 0, -14, 0, 42, 0, -20, 0, 36, 0, 0, 0, 21, 0, 32, 0, 14, 0, 2, 0, 1, 0, 48, 0, 0, 0, -24, 0, -9, 0, 2, 0, -42, 0, 45, 0, -20, 0, 0, 0, -18, 0, -56, 0, -84, 0, 40, 0, 16, 0, -54, 0, 0, 0, -10, 0, -74, 0, -40, 0, 3, 0, 28, 0, -4, 0, -21, 0, -24, 0, 20, 0, 6, 0, -30, 0, 16, 0, 92, 0, 0, 0, 48, 0, 1, 0, -18, 0, -34, 0, 1, 0, -84, 0, 0, 0, 42, 0, -24, 0, -36, 0, 0, 0, 92, 0, 10, 0, 0, 0, 16, 0, 110, 0, -48, 0, -56, 0, 15, 0, -8, 0, 0, 0, 112, 0, 7, 0, -36, 0, 12, 0, -32, 0, 78, 0, 0, 0, 46, 0, -12, 0, 35, 0, -12, 0, -76, 0, -42, 0, 0, 0, -70, 0, 18, 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], [-1, 1], [0, 0], [0, -1], [0, 0], [0, 0], [0, 0], [0, -1], [0, 0], [0, 4], [0, 0], [0, 3], [0, 0], [1, 0], [0, 0], [4, -4], [0, 0], [5, -5], [0, 0], [0, 0], [0, 0], [-2, 0], [0, 0], [-1, 1], [0, 0], [1, 0], [0, 0], [-6, 0], [0, 0], [5, -6], [0, 0], [-4, 0], [0, 0], [0, 0], [0, 0], [-7, 7], [0, 0], [-3, 0], [0, 0], [0, 8], [0, 0], [1, -1], [0, 0], [-1, 1], [0, 0], [6, 0], [0, 0], [0, 7], [0, 0], [0, 4], [0, 0], [0, 4], [0, 0], [4, -4], [0, 0], [0, 5], [0, 0], [0, 0], [0, 0], [10, 0], [0, 0], [0, 0], [0, 0], [3, -3], [0, 0], [0, 4], [0, 0], [2, -2], [0, 0], [0, 6], [0, 0], [0, 7], [0, 0], [0, -1], [0, 0], [0, 0], [0, 0], [12, -12], [0, 0], [-1, 1], [0, 0], [0, 2], [0, 0], [-4, 0], [0, 0], [6, -6], [0, 0], [4, 0], [0, 0], [0, 0], [0, 0], [1, 5], [0, 0], [-5, 0], [0, 0], [9, 0], [0, 0], [4, -4], [0, 0]], 'ap': [[0, 0], [-1, 1], [0, -1], [0, 0], [0, 4], [0, 3], [4, -4], [5, -5], [-2, 0], [-6, 0], [5, -6], [-7, 7], [0, 8], [1, -1], [6, 0], [0, 4], [0, 0], [10, 0], [0, 4], [0, 6], [0, 7], [12, -12], [0, 2], [4, 0], [9, 0], [-6, 0], [0, 11], [-14, 14], [9, 0], [0, 2], [3, -3], [-8, 8], [0, -2], [20, 0], [-14, 14], [5, 0], [-13, 0], [-19, 0], [-6, 6], [0, 10], [14, -14], [0, 19], [0, -24], [-7, 7], [0, 4], [0, -16], [5, -5], [7, -7], [0, -28], [7, -7], [4, 0], [0, 6], [15, -15], [6, -6], [0, -14], [-26, 0], [0, -20], [-13, 0], [13, 0], [4, 0], [23, 0], [-34, 34], [-19, 19], [-18, 0], [-3, 3], [-18, 18], [0, 17], [2, 0], [32, -32], [-21, 0], [-10, 10], [0, -26], [0, -11], [-1, 0], [27, -27], [0, 20], [18, -18], [6, -6], [-16, 0], [35, -35], [22, 0], [0, 10], [-18, 18], [-25, 0], [0, -19], [0, 14], [24, 0], [41, 0], [-12, 0], [-1, 0], [-6, 0], [6, -6], [0, -35], [0, 8], [-4, 4], [0, 0], [0, 10], [-30, 30], [32, 0], [43, -43], [0, -1], [6, 0], [0, 0], [0, 2], [0, -19], [-14, 14], [-18, 0], [12, 0], [0, -22], [-14, 14], [0, -23], [-23, 23], [-20, 20], [-21, 0], [0, -8], [0, -46], [-1, 0], [-42, 0], [48, 0], [32, 0], [0, -23], [0, -46], [0, -28], [2, 0], [0, 28], [20, -20], [-19, 0], [26, -26], [-15, 15], [0, -13], [0, -7], [30, 0], [-17, 17], [0, 22], [34, -34], [-46, 46], [-6, 0], [9, -9], [0, -24], [-24, 24], [0, -35], [18, 0], [16, -16], [0, 18], [25, 0], [48, 0], [-41, 0], [0, 0], [0, 25], [0, -56], [0, 53], [0, -14], [-11, 0], [48, -48], [12, 0], [-44, 44], [0, 11], [-38, 0], [-55, 55], [0, 20], [18, -18], [30, 0], [-4, 4], [0, 42], [0, 0], [0, -30], [35, 0], [0, -6], [-10, 10], [0, 56], [-12, 0], [-61, 0], [-6, 0], [0, 30], [40, 0], [0, 6], [-53, 53], [-8, 8], [0, -25], [-46, 0], [-51, 0], [-30, 30], [-26, 0], [0, 0], [0, 40], [-10, 10], [-59, 0], [11, -11], [0, -37], [24, 0], [14, -14], [42, 0], [17, -17], [28, -28], [0, -32], [36, 0], [54, 0], [-19, 0], [-34, 0], [40, -40], [0, 48], [0, 17], [-30, 30], [0, 27], [-42, 42], [0, 0], [21, 0], [-60, 60], [0, -50], [0, -9], [0, -27], [-24, 0], [65, 0], [0, -60], [-58, 58], [-15, 15], [-35, 35], [52, -52], [68, -68], [0, 60], [11, -11], [-29, 0], [-16, 16], [-47, 47], [-2, 0], [-55, 55], [-38, 38], [0, -36], [0, -15], [46, -46], [-19, 0], [-27, 0], [-16, 16], [42, -42], [0, -68], [-40, 0], [25, 0], [0, -44], [0, 42], [12, 0], [52, 0], [-36, 36], [5, -5], [-66, 0], [-6, 6], [0, 0], [51, -51], [0, 16], [-60, 0], [-12, 0], [-47, 0], [0, 4], [0, 24], [31, -31], [-76, 0], [-12, 12], [0, -22], [27, 0], [14, -14], [37, -37], [0, -17], [36, -36], [0, -9], [77, -77], [-6, 0], [-44, 44], [60, 0], [-28, 0], [0, 4], [40, -40], [0, -11], [0, -44], [38, -38], [11, 0], [0, -41], [-15, 0], [0, 22], [0, 30], [53, -53], [0, 22], [12, -12], [-79, 0], [0, -14], [7, 0], [48, -48], [0, -24], [0, -9], [-42, 42], [45, -45], [-42, 0], [0, -74], [14, 0], [0, -24], [0, -18], [0, -34], [46, 0], [5, 0], [0, -36], [0, 78], [35, -35], [0, -42], [0, -70], [9, 0]], 'char_orbit_index': 17, 'field_poly': [1, -1, 1], 'hecke_orbit_code': 4504699172554564, 'hecke_ring_character_values': [[931, [1, 0]], [1241, [1, 0]], [1117, [1, 0]], [1801, [0, -1]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '1860.2.q.b', 'level': 1860, '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': 7440, 'analytic_conductor': 14.85217477595815, 'char_conductor': 31, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 3, 'char_parity': 1, 'char_values': [1860, 3, [931, 1241, 1117, 1801], [3, 3, 3, 1]], 'conrey_index': 1141, 'cusp_dim': 744, 'dim': 44, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 1099545184068, 'hecke_orbit_dims': [2, 2, 2, 2, 4, 6, 6, 8, 12], 'label': '1860.2.q', 'level': 1860, '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, 31], 'level_radical': 930, 'mf_dim': 792, 'mf_new_dim': 44, 'num_forms': 9, 'prim_orbit_index': 3, 'relative_dim': 22, 'sturm_bound': 768, 'trace_bound': 7, 'trace_display': [0, -2, 0, -4], 'traces': [44, 0, -2, 0, 0, 0, -4, 0, -22, 0, -4, 0, 2, 0, 0, 0, -20, 0, 2, 0, -4, 0, 16, 0, -22, 0, 4, 0, -32, 0, 4, 0, -16, 0, -16, 0, -14, 0, 20, 0, -24, 0, -18, 0, 0, 0, 16, 0, -14, 0, 4, 0, 12, 0, 4, 0, 2, 0, -12, 0, 32, 0, 8, 0, 0, 0, -8, 0, 0, 0, 4, 0, 10, 0, -2, 0, -16, 0, 4, 0, -22, 0, -20, 0, 24, 0, -4, 0, 32, 0, -56, 0, -10, 0, 0, 0, -28, 0, -4, 0, -48, 0, -22, 0, -8, 0, 16, 0, -28, 0, 22, 0, -8, 0, -8, 0, 2, 0, 20, 0, -30, 0, 0, 0, 0, 0, 10, 0, -10, 0, 4, 0, -16, 0, 0, 0, 64, 0, 40, 0, 16, 0, 60, 0, -24, 0, 68, 0, -8, 0, -36, 0, 40, 0, 0, 0, -36, 0, -16, 0, -4, 0, 76, 0, 0, 0, 20, 0, -16, 0, -4, 0, -32, 0, -4, 0, 0, 0, -8, 0, 42, 0, -28, 0, -8, 0, -64, 0, -4, 0, -4, 0, 26, 0, 0, 0, -36, 0, 28, 0, 0, 0, -116, 0, 24, 0, -8, 0, -88, 0, 26, 0, -24, 0, 8, 0, -12, 0, -60, 0, 120, 0, -26, 0, 44, 0, 8, 0, -10, 0, -12, 0, 24, 0, 8, 0, -24, 0, 48, 0, -26, 0, -2, 0, 16, 0, 20, 0, 112, 0, 48, 0, -40, 0, 4, 0, 40, 0, -80, 0, 16, 0, 0, 0, -32, 0, 0, 0, 32, 0, 68, 0, 8, 0, 8, 0, 60, 0, -14, 0, -16, 0, -84, 0, -16, 0, -152, 0, -2, 0, 22, 0, 52, 0, 16, 0, 8, 0, 76, 0, 28, 0, 28, 0, -24, 0, 22, 0, -44, 0, -16, 0, -42, 0, 8, 0, -64, 0, -32, 0, 12, 0, 48, 0, -4, 0, 14, 0, 56, 0, -34, 0, 28, 0, -32, 0, 120, 0, 0, 0, 64, 0, -8, 0, -8, 0, 96, 0, -12, 0, -10, 0, -20, 0, -32, 0, -96, 0, -144, 0, -56, 0, -26, 0, 12, 0, 58, 0, -24, 0, 80, 0, 292, 0, 0, 0, -72, 0, 2, 0, -62, 0, 68, 0, 12, 0, 36, 0, -56, 0, -64, 0, -40, 0, -48, 0, 16, 0, -40, 0, -184, 0, 58, 0, 0, 0, 176, 0, -30, 0, 104, 0, 28, 0, 12, 0, -48, 0, 24, 0, 56, 0, -8, 0, -20, 0, 64, 0, 8, 0, 64, 0, -60, 0, 8, 0, 112, 0, 22, 0, -14, 0, 92, 0, -8, 0, -28, 0, -8, 0, 132, 0, 22, 0, -24, 0, 108, 0, 4, 0, 24, 0, 228, 0, -16, 0, 72, 0, 40, 0, 2, 0, -24, 0, 2, 0, 12, 0, 32, 0, -140, 0, 64, 0, -40, 0, 74, 0, -18, 0, 4, 0, -40, 0, -8, 0, -136, 0, -96, 0, 24, 0, 112, 0, 28, 0, -8, 0, -116, 0, 256, 0, 2, 0, -4, 0, 28, 0, 0, 0, 64, 0, 32, 0, 8, 0, -120, 0, -12, 0, 24, 0, -144, 0, 16, 0, 20, 0, -80, 0, -94, 0, 36, 0, -8, 0, -74, 0, -16, 0, -64, 0, -68, 0, -8, 0, 72, 0, 180, 0, -44, 0, -156, 0, 4, 0, -4, 0, 120, 0, -74, 0, 8, 0, -8, 0, -92, 0, -74, 0, -256, 0, -4, 0, 0, 0, -384, 0, -130, 0, -72, 0, -136, 0, 12, 0, 64, 0, 8, 0, 16, 0, -8, 0, 96, 0, 78, 0, -4, 0, 220, 0, -66, 0, -12, 0, 92, 0, -196, 0, 0, 0, 140, 0, -22, 0, -48, 0, 12, 0, -100, 0, -30, 0, -72, 0, 10, 0, 4, 0, 192, 0, 4, 0, -4, 0, 40, 0, 48, 0, -76, 0, 384, 0, -72, 0, 10, 0, 24, 0, -30, 0, 56, 0, 40, 0, -80, 0, 94, 0, 88, 0, -288, 0, -2, 0, 0, 0, 48, 0, 8, 0, 88, 0, -36, 0, 126, 0, 72, 0, 0, 0, 8, 0, 48, 0, 144, 0, 88, 0, -64, 0, -90, 0, 64, 0, -36, 0, -196, 0, -8, 0, 72, 0, 16, 0, 216, 0, 148, 0, -144, 0, 22, 0, 16, 0, -226, 0, 44, 0, -152, 0, -66, 0, 0, 0, -148, 0, -70, 0, -18, 0, -112, 0, 56, 0, -20, 0, 32, 0, -54, 0, -16, 0, 32, 0, -96, 0, 8, 0, 32, 0, 136, 0, -12, 0, -360, 0, 120, 0, 40, 0, 184, 0, 10, 0, -144, 0, 104, 0, 176, 0, 8, 0, 36, 0, -38, 0, -68, 0, -144, 0, 100, 0, -32, 0, 64, 0, 36, 0, -16, 0, -52, 0, -88, 0, -96, 0, 60, 0, 210, 0, 26, 0, 80, 0, 18, 0, 28, 0, -32, 0, -32, 0, 8, 0, 72, 0, -68, 0, 90, 0, 320, 0, 264, 0, 8, 0, 136, 0, 356, 0, -100, 0, 0, 0, -36, 0, 70, 0, -24, 0, 68, 0, 0, 0, 4, 0, 58, 0, 64, 0, -180, 0, -24, 0, -116, 0, -424, 0, 24, 0, 14, 0, 8, 0, -66, 0, -52, 0, -76, 0, -196, 0, -44, 0, -28, 0, 56, 0, 8, 0, -176, 0, 16, 0, 168, 0, 204, 0, -160, 0, -176, 0, -88, 0, 104, 0, 24, 0, -28, 0, 16, 0, -32, 0, -88, 0, -10, 0, -46, 0, -68, 0, -14, 0, -22, 0, -40, 0, -524, 0, -80, 0, -108, 0, -42, 0, 14, 0, 12, 0, 164, 0, 16, 0, 168, 0, -182, 0, -28, 0, -224, 0, -44, 0, -16, 0, -160, 0, -40, 0, -32, 0, -184, 0, 92, 0, -96, 0, 132, 0, 28, 0, -10, 0, 144, 0, -48, 0, 14, 0, -92, 0, 20, 0, 0, 0, 84, 0, 100, 0, 172, 0, 24, 0, 64, 0, 22, 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: 828839
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 17, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1860.2.q.b', 'source_level': 1860, 'target_char_orbit': 17, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1860.2.q.b', 'target_level': 1860, 'twist_class_label': '1860.2.q.b', 'twist_class_level': 1860, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 828840
    {'conductor': 31, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1860.2.q.b', 'source_level': 1860, 'target_char_orbit': 17, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1860.2.q.b', 'target_level': 1860, 'twist_class_label': '1860.2.q.b', 'twist_class_level': 1860, 'twisting_char_label': '31.c', 'twisting_char_orbit': 3, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2251575
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504699172554564, 'p': 2}
  • id: 2251576
    {'charpoly_factorization': [[[1, 1, 1], 1]], 'hecke_orbit_code': 4504699172554564, 'p': 3}
  • id: 2251577
    {'charpoly_factorization': [[[1, 1, 1], 1]], 'hecke_orbit_code': 4504699172554564, 'p': 5}
  • id: 2251578
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504699172554564, 'p': 7}
  • id: 2251579
    {'charpoly_factorization': [[[16, -4, 1], 1]], 'hecke_orbit_code': 4504699172554564, 'p': 11}
  • id: 2251580
    {'charpoly_factorization': [[[9, -3, 1], 1]], 'hecke_orbit_code': 4504699172554564, 'p': 13}
  • id: 2251581
    {'charpoly_factorization': [[[16, -4, 1], 1]], 'hecke_orbit_code': 4504699172554564, 'p': 17}
  • id: 2251582
    {'charpoly_factorization': [[[25, -5, 1], 1]], 'hecke_orbit_code': 4504699172554564, 'p': 19}
  • id: 2251583
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 4504699172554564, 'p': 23}
  • id: 2251584
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 4504699172554564, 'p': 29}
  • id: 2251585
    {'charpoly_factorization': [[[31, -4, 1], 1]], 'hecke_orbit_code': 4504699172554564, 'p': 31}
  • id: 2251586
    {'charpoly_factorization': [[[49, 7, 1], 1]], 'hecke_orbit_code': 4504699172554564, 'p': 37}
  • id: 2251587
    {'charpoly_factorization': [[[64, -8, 1], 1]], 'hecke_orbit_code': 4504699172554564, 'p': 41}
  • id: 2251588
    {'charpoly_factorization': [[[1, -1, 1], 1]], 'hecke_orbit_code': 4504699172554564, 'p': 43}
  • id: 2251589
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 4504699172554564, 'p': 47}
  • id: 2251590
    {'charpoly_factorization': [[[16, -4, 1], 1]], 'hecke_orbit_code': 4504699172554564, 'p': 53}
  • id: 2251591
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504699172554564, 'p': 59}
  • id: 2251592
    {'charpoly_factorization': [[[-10, 1], 2]], 'hecke_orbit_code': 4504699172554564, 'p': 61}
  • id: 2251593
    {'charpoly_factorization': [[[16, -4, 1], 1]], 'hecke_orbit_code': 4504699172554564, 'p': 67}
  • id: 2251594
    {'charpoly_factorization': [[[36, -6, 1], 1]], 'hecke_orbit_code': 4504699172554564, 'p': 71}
  • id: 2251595
    {'charpoly_factorization': [[[49, -7, 1], 1]], 'hecke_orbit_code': 4504699172554564, 'p': 73}
  • id: 2251596
    {'charpoly_factorization': [[[144, -12, 1], 1]], 'hecke_orbit_code': 4504699172554564, 'p': 79}
  • id: 2251597
    {'charpoly_factorization': [[[4, -2, 1], 1]], 'hecke_orbit_code': 4504699172554564, 'p': 83}
  • id: 2251598
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 4504699172554564, 'p': 89}
  • id: 2251599
    {'charpoly_factorization': [[[-9, 1], 2]], 'hecke_orbit_code': 4504699172554564, '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': 17, 'hecke_orbit': 2, 'label': '1860.2.q.b', 'level': 1860, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 24471277
    {'hecke_orbit_code': 4504699172554564, 'n': 1, 'trace_an': 2}
  • id: 24471278
    {'hecke_orbit_code': 4504699172554564, 'n': 2, 'trace_an': 0}
  • id: 24471279
    {'hecke_orbit_code': 4504699172554564, 'n': 3, 'trace_an': -1}
  • id: 24471280
    {'hecke_orbit_code': 4504699172554564, 'n': 4, 'trace_an': 0}
  • id: 24471281
    {'hecke_orbit_code': 4504699172554564, 'n': 5, 'trace_an': -1}
  • id: 24471282
    {'hecke_orbit_code': 4504699172554564, 'n': 6, 'trace_an': 0}
  • id: 24471283
    {'hecke_orbit_code': 4504699172554564, 'n': 7, 'trace_an': 0}
  • id: 24471284
    {'hecke_orbit_code': 4504699172554564, 'n': 8, 'trace_an': 0}
  • id: 24471285
    {'hecke_orbit_code': 4504699172554564, 'n': 9, 'trace_an': -1}
  • id: 24471286
    {'hecke_orbit_code': 4504699172554564, 'n': 10, 'trace_an': 0}
  • id: 24471287
    {'hecke_orbit_code': 4504699172554564, 'n': 11, 'trace_an': 4}
  • id: 24471288
    {'hecke_orbit_code': 4504699172554564, 'n': 12, 'trace_an': 0}
  • id: 24471289
    {'hecke_orbit_code': 4504699172554564, 'n': 13, 'trace_an': 3}
  • id: 24471290
    {'hecke_orbit_code': 4504699172554564, 'n': 14, 'trace_an': 0}
  • id: 24471291
    {'hecke_orbit_code': 4504699172554564, 'n': 15, 'trace_an': 2}
  • id: 24471292
    {'hecke_orbit_code': 4504699172554564, 'n': 16, 'trace_an': 0}
  • id: 24471293
    {'hecke_orbit_code': 4504699172554564, 'n': 17, 'trace_an': 4}
  • id: 24471294
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  • id: 24471295
    {'hecke_orbit_code': 4504699172554564, 'n': 19, 'trace_an': 5}
  • id: 24471296
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  • id: 24471297
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  • id: 24471298
    {'hecke_orbit_code': 4504699172554564, 'n': 22, 'trace_an': 0}
  • id: 24471299
    {'hecke_orbit_code': 4504699172554564, 'n': 23, 'trace_an': -4}
  • id: 24471300
    {'hecke_orbit_code': 4504699172554564, 'n': 24, 'trace_an': 0}
  • id: 24471301
    {'hecke_orbit_code': 4504699172554564, 'n': 25, 'trace_an': -1}
  • id: 24471302
    {'hecke_orbit_code': 4504699172554564, 'n': 26, 'trace_an': 0}
  • id: 24471303
    {'hecke_orbit_code': 4504699172554564, 'n': 27, 'trace_an': 2}
  • id: 24471304
    {'hecke_orbit_code': 4504699172554564, 'n': 28, 'trace_an': 0}
  • id: 24471305
    {'hecke_orbit_code': 4504699172554564, 'n': 29, 'trace_an': -12}
  • id: 24471306
    {'hecke_orbit_code': 4504699172554564, 'n': 30, 'trace_an': 0}
  • id: 24471307
    {'hecke_orbit_code': 4504699172554564, 'n': 31, 'trace_an': 4}
  • id: 24471308
    {'hecke_orbit_code': 4504699172554564, 'n': 32, 'trace_an': 0}
  • id: 24471309
    {'hecke_orbit_code': 4504699172554564, 'n': 33, 'trace_an': -8}
  • id: 24471310
    {'hecke_orbit_code': 4504699172554564, 'n': 34, 'trace_an': 0}
  • id: 24471311
    {'hecke_orbit_code': 4504699172554564, 'n': 35, 'trace_an': 0}
  • id: 24471312
    {'hecke_orbit_code': 4504699172554564, 'n': 36, 'trace_an': 0}
  • id: 24471313
    {'hecke_orbit_code': 4504699172554564, 'n': 37, 'trace_an': -7}
  • id: 24471314
    {'hecke_orbit_code': 4504699172554564, 'n': 38, 'trace_an': 0}
  • id: 24471315
    {'hecke_orbit_code': 4504699172554564, 'n': 39, 'trace_an': -6}
  • id: 24471316
    {'hecke_orbit_code': 4504699172554564, 'n': 40, 'trace_an': 0}
  • id: 24471317
    {'hecke_orbit_code': 4504699172554564, 'n': 41, 'trace_an': 8}
  • id: 24471318
    {'hecke_orbit_code': 4504699172554564, 'n': 42, 'trace_an': 0}
  • id: 24471319
    {'hecke_orbit_code': 4504699172554564, 'n': 43, 'trace_an': 1}
  • id: 24471320
    {'hecke_orbit_code': 4504699172554564, 'n': 44, 'trace_an': 0}
  • id: 24471321
    {'hecke_orbit_code': 4504699172554564, 'n': 45, 'trace_an': -1}
  • id: 24471322
    {'hecke_orbit_code': 4504699172554564, 'n': 46, 'trace_an': 0}
  • id: 24471323
    {'hecke_orbit_code': 4504699172554564, 'n': 47, 'trace_an': 12}
  • id: 24471324
    {'hecke_orbit_code': 4504699172554564, 'n': 48, 'trace_an': 0}
  • id: 24471325
    {'hecke_orbit_code': 4504699172554564, 'n': 49, 'trace_an': 7}
  • id: 24471326
    {'hecke_orbit_code': 4504699172554564, 'n': 50, 'trace_an': 0}
  • id: 24471327
    {'hecke_orbit_code': 4504699172554564, 'n': 51, 'trace_an': 4}
  • id: 24471328
    {'hecke_orbit_code': 4504699172554564, 'n': 52, 'trace_an': 0}
  • id: 24471329
    {'hecke_orbit_code': 4504699172554564, 'n': 53, 'trace_an': 4}
  • id: 24471330
    {'hecke_orbit_code': 4504699172554564, 'n': 54, 'trace_an': 0}
  • id: 24471331
    {'hecke_orbit_code': 4504699172554564, 'n': 55, 'trace_an': 4}
  • id: 24471332
    {'hecke_orbit_code': 4504699172554564, 'n': 56, 'trace_an': 0}
  • id: 24471333
    {'hecke_orbit_code': 4504699172554564, 'n': 57, 'trace_an': 5}
  • id: 24471334
    {'hecke_orbit_code': 4504699172554564, 'n': 58, 'trace_an': 0}
  • id: 24471335
    {'hecke_orbit_code': 4504699172554564, 'n': 59, 'trace_an': 0}
  • id: 24471336
    {'hecke_orbit_code': 4504699172554564, 'n': 60, 'trace_an': 0}
  • id: 24471337
    {'hecke_orbit_code': 4504699172554564, 'n': 61, 'trace_an': 20}
  • id: 24471338
    {'hecke_orbit_code': 4504699172554564, 'n': 62, 'trace_an': 0}
  • id: 24471339
    {'hecke_orbit_code': 4504699172554564, 'n': 63, 'trace_an': 0}
  • id: 24471340
    {'hecke_orbit_code': 4504699172554564, 'n': 64, 'trace_an': 0}
  • id: 24471341
    {'hecke_orbit_code': 4504699172554564, 'n': 65, 'trace_an': 3}
  • id: 24471342
    {'hecke_orbit_code': 4504699172554564, 'n': 66, 'trace_an': 0}
  • id: 24471343
    {'hecke_orbit_code': 4504699172554564, 'n': 67, 'trace_an': 4}
  • id: 24471344
    {'hecke_orbit_code': 4504699172554564, 'n': 68, 'trace_an': 0}
  • id: 24471345
    {'hecke_orbit_code': 4504699172554564, 'n': 69, 'trace_an': 2}
  • id: 24471346
    {'hecke_orbit_code': 4504699172554564, 'n': 70, 'trace_an': 0}
  • id: 24471347
    {'hecke_orbit_code': 4504699172554564, 'n': 71, 'trace_an': 6}
  • id: 24471348
    {'hecke_orbit_code': 4504699172554564, 'n': 72, 'trace_an': 0}
  • id: 24471349
    {'hecke_orbit_code': 4504699172554564, 'n': 73, 'trace_an': 7}
  • id: 24471350
    {'hecke_orbit_code': 4504699172554564, 'n': 74, 'trace_an': 0}
  • id: 24471351
    {'hecke_orbit_code': 4504699172554564, 'n': 75, 'trace_an': -1}
  • id: 24471352
    {'hecke_orbit_code': 4504699172554564, 'n': 76, 'trace_an': 0}
  • id: 24471353
    {'hecke_orbit_code': 4504699172554564, 'n': 77, 'trace_an': 0}
  • id: 24471354
    {'hecke_orbit_code': 4504699172554564, 'n': 78, 'trace_an': 0}
  • id: 24471355
    {'hecke_orbit_code': 4504699172554564, 'n': 79, 'trace_an': 12}
  • id: 24471356
    {'hecke_orbit_code': 4504699172554564, 'n': 80, 'trace_an': 0}
  • id: 24471357
    {'hecke_orbit_code': 4504699172554564, 'n': 81, 'trace_an': -1}
  • id: 24471358
    {'hecke_orbit_code': 4504699172554564, 'n': 82, 'trace_an': 0}
  • id: 24471359
    {'hecke_orbit_code': 4504699172554564, 'n': 83, 'trace_an': 2}
  • id: 24471360
    {'hecke_orbit_code': 4504699172554564, 'n': 84, 'trace_an': 0}
  • id: 24471361
    {'hecke_orbit_code': 4504699172554564, 'n': 85, 'trace_an': -8}
  • id: 24471362
    {'hecke_orbit_code': 4504699172554564, 'n': 86, 'trace_an': 0}
  • id: 24471363
    {'hecke_orbit_code': 4504699172554564, 'n': 87, 'trace_an': 6}
  • id: 24471364
    {'hecke_orbit_code': 4504699172554564, 'n': 88, 'trace_an': 0}
  • id: 24471365
    {'hecke_orbit_code': 4504699172554564, 'n': 89, 'trace_an': 8}
  • id: 24471366
    {'hecke_orbit_code': 4504699172554564, 'n': 90, 'trace_an': 0}
  • id: 24471367
    {'hecke_orbit_code': 4504699172554564, 'n': 91, 'trace_an': 0}
  • id: 24471368
    {'hecke_orbit_code': 4504699172554564, 'n': 92, 'trace_an': 0}
  • id: 24471369
    {'hecke_orbit_code': 4504699172554564, 'n': 93, 'trace_an': 7}
  • id: 24471370
    {'hecke_orbit_code': 4504699172554564, 'n': 94, 'trace_an': 0}
  • id: 24471371
    {'hecke_orbit_code': 4504699172554564, 'n': 95, 'trace_an': -10}
  • id: 24471372
    {'hecke_orbit_code': 4504699172554564, 'n': 96, 'trace_an': 0}
  • id: 24471373
    {'hecke_orbit_code': 4504699172554564, 'n': 97, 'trace_an': 18}
  • id: 24471374
    {'hecke_orbit_code': 4504699172554564, 'n': 98, 'trace_an': 0}
  • id: 24471375
    {'hecke_orbit_code': 4504699172554564, 'n': 99, 'trace_an': 4}
  • id: 24471376
    {'hecke_orbit_code': 4504699172554564, 'n': 100, 'trace_an': 0}