Newform data - 522.2.h.a

Formats: - HTML - YAML - JSON - 2026-10-10T09:26:17.107799

• 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': 2088, 'analytic_conductor': 4.168190985510836, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 261, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 6, 'char_parity': 1, 'char_values': [522, 6, [407, 379], [4, 3]], 'cm_discs': [], 'conrey_index': 115, 'dim': 4, 'field_disc': 144, 'field_disc_factorization': [[2, 4], [3, 2]], 'field_poly': [1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 12, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [4, -2, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 481069892106, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 9, 3, 1, 3, 0], [1, 1, 29, 2, 1, 2, 0], [1, 1, 261, 9, 1, 6, 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': '522.2.h.a', 'level': 522, '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, 29], 'level_radical': 174, 'minimal_twist': '522.2.h.a', 'nf_label': '4.0.144.1', 'prim_orbit_index': 9, 'qexp_display': 'q+\\zeta_{12}q^{2}+(-\\zeta_{12}-\\zeta_{12}^{3})q^{3}+\\zeta_{12}^{2}q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '522.2.h', 'trace_display': [0, 0, 4, -2], 'trace_hash': 641010378203279300, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '4.015', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '94.019', 'prec': 17}, 0, {'__RealLiteral__': 0, 'data': '3308.987', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.509', 'prec': 10}, 'traces': [4, 0, 0, 2, 4, 0, -2, 0, -6, 0, 0, 0, 8, 0, 0, -2, 0, 0, 0, -4, 0, 2, 0, 6, 2, 0, 0, -4, -4, 12, 0, 0, 0, -4, -8, -12, 0, 2, 0, 0, 0, 6, 0, 0, -24, 0, 0, 0, 12, 0, 12, -8, 8, 18, 0, 0, -6, 10, -8, 0, 0, 16, -6, -4, -16, 0, -4, 0, 0, 0, 28, 0, 0, 4, 0, 0, 0, 24, 0, -8, -18, -8, 8, 0, 0, -18, 0, -2, 0, 0, -16, 0, -24, 12, 0, 6, 0, 0, 0, 4, 0, 0, -38, 0, 0, 0, 16, 0, 24, -4, -12, -2, 0, 0, 0, -8, -48, 0, 0, 12, -20, -26, 12, 0, 48, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, -8, 0, 0, -20, -4, 0, 0, 0, -6, -16, 8, 0, 0, 24, -6, 32, 4, 0, -4, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 12, 0, -6, 0, -6, -16, 0, 0, 0, 12, 2, 0, 0, 4, 96, -12, 104, 0, 0, 0, 0, 0, -4, 0, 0, 8, 0, 0, 0, -16, 0, -12, 64, -12, -32, 0, 0, -12, -4, 12, 0, 0, 0, -16, 2, 0, 0, 4, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, -42, 0, 6, -56, -36, -6, 0, 0, 6, -10, -52, 0, 0, 8, 0, -4, 30, 0, -2, 0, 0, 0, -24, 0, 0, 8, 0, 0, 0, 6, 0, -12, 24, -2, -52, 0, 0, -32, -12, 36, 0, 0, 8, 2, -12, 4, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, -46, 0, 0, 14, -12, -8, 0, 0, 52, -20, 0, 0, 0, 36, 16, 8, 18, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 16, 0, 24, 2, 36, 12, 0, 0, 0, 10, -4, 0, 0, 8, 18, 16, -34, 0, -4, 0, 0, 0, 16, 0, 0, 8, 0, 0, 0, 84, 0, 16, 6, -52, 18, 0, 0, -72, 30, 56, 0, 0, -4, -42, -24, 28, 0, 0, 0, 0, 0, 72, 0, 0, -8, 0, 0, 0, 0, 0, 16, -4, 0, -20, 0, 0, -12, -32, -18, 0, 0, 36, 0, -54, 0, 0, -40, 0, 0, 0, 48, 0, 0, -54, 0, 0, 0, -72, 0, 0, 2, 46, -12, 0, 0, 36, -20, 4, 0, 0, -8, 0, 38, 16, 0, 32, 0, 0, 0, -36, 0, 0, 52, 0, 0, 0, 0, 0, 8, 24, 36, -92, 0, 0, -8, 60, 12, 0, 0, -30, -8, -72, -32, 0, -12, 0, 0, 0, 2, 0, 0, -8, 0, 0, 0, -16, 0, 36, -12, 0, 0, 0, 0, 38, -4, 0, 0, 0, -24, 8, -24, -54, 0, -18, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 20, 0, -54, -76, 26, 102, 0, 0, 0, -20, 16, 0, 0, -14, -24, -48, 24, 0, -30, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 76, -54, 12, 4, 0, 0, -148, -60, 16, 0, 0, -32, 16, 6, 46, 0, 48, 0, 0, 0, 16, 0, 0, 50, 0, 0, 0, 56, 0, -4, 24, 0, -76, 0, 0, 4, 10, 0, 0, 0, -24, 20, 48, -24, 0, 4, 0, 0, 0, 36, 0, 0, 36, 0, 0, 0, 40, 0, 0, 4, 0, 6, 0, 0, 60, -8, 8, 0, 0, 16, -48, -20, 36, 0, -8, 0, 0, 0, -172, 0, 0, -24, 0, 0, 0, 0, 0, 36, 24, 64, 40, 0, 0, 2, 30, 52, 0, 0, -40, -18, 0, -2, 0, -114, 0, 0, 0, 72, 0, 0, 38, 0, 0, 0, 16, 0, -176, 8, -78, 22, 0, 0, -48, -8, -42, 0, 0, 0, -28, 0, -108, 0, 44, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, -24, 0, 12, -32, 62, 48, 0, 0, 12, 0, 6, 0, 0, -26, -6, 22, -32, 0, -12, 0, 0, 0, -8, 0, 0, -72, 0, 0, 0, 18, 0, 16, 0, -16, 0, 0, 0, 40, 0, -8, 0, 0, -2, 0, 0, -8, 0, 72, 0, 0, 0, -80, 0, 0, 8, 0, 0, 0, 48, 0, 8, 124, 12, 76, 0, 0, 52, 4, -60, 0, 0, 108, 32, 36, -78, 0, 20, 0, 0, 0, 12, 0, 0, -24, 0, 0, 0, -48, 0, 24, -8, -8, 0, 0, 0, 90, -40, 128, 0, 0, -10, 0, 4, 44, 0, -12, 0, 0, 0, 32, 0, 0, -4, 0, 0, 0, 108, 0, 16, 0, -36, 4, 0, 0, 0, 90, -24, 0, 0, -8, 32, 0, 16, 0, -6, 0, 0, 0, -16, 0, 0, -24, 0, 0, 0, 8, 0, 0, 32, -150, 12, 0, 0, 24, 4, -168, 0, 0, 0, -18, 128, 24, 0, 36, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, -8, 0, -60, 12, 4, 72, 0, 0, -12, 42, 22, 0, 0, -24, -72, 40, -4, 0, 4, 0, 0, 0, 52, 0, 0, -14, 0, 0, 0, -12, 0, -132, -18, 0, -4, 0, 0, -8, 0, 16, 0, 0, 0, -24, -24, -80, 0, 30, 0, 0, 0, -104, 0, 0, -8, 0, 0, 0, 16, 0, -84, 12, 72, 96, 0, 0, -60, 80, -6, 0, 0, -54, -28, 104, -96, 0, -72, 0, 0, 0, 0, 0, 0, -156, 0, 0, 0, -116, 0, 54, 10, 56, 0, 0, 0, 228, -20, -62, 0, 0, -26, -108, -6, -16, 0, 164, 0, 0, 0, -48, 0, 0, 16, 0, 0, 0, -24, 0, -2, 0, 4, -188, 0, 0, -30, 12, -76, 0, 0, -30, 32, -24, -4, 0, 0, 0, 0, 0, 32, 0, 0, 40, 0, 0, 0, -108, 0, 4, -48, -36, -48, 0, 0, 64, -8, 36, 0, 0, -12, 172, -8, 0, 0, -32, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

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

  
  {'an': [[1, 0, 0, 0], [0, 1, 0, 0], [0, -1, 0, -1], [0, 0, 1, 0], [0, 0, 2, 0], [1, 0, -2, 0], [-1, 0, 1, 0], [0, 0, 0, 1], [-3, 0, 3, 0], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, -2], [0, 0, 4, 0], [0, -1, 0, 1], [0, 2, 0, -4], [-1, 0, 1, 0], [0, 0, 0, 2], [0, -3, 0, 3], [0, 0, 0, -1], [-2, 0, 2, 0], [0, 2, 0, -1], [0, 0, 1, 0], [0, 0, 0, 0], [2, 0, -1, 0], [1, 0, -1, 0], [0, 0, 0, 4], [0, 6, 0, -3], [-1, 0, 0, 0], [-2, 5, 2, 0], [4, 0, -2, 0], [0, 4, 0, -4], [0, -1, 0, 1], [1, 0, -2, 0], [-2, 0, 2, 0], [-2, 0, 0, 0], [-3, 0, 0, 0], [0, 0, 0, -2], [1, 0, -1, 0], [0, 4, 0, -8], [0, -2, 0, 2], [0, -2, 0, 2], [1, 0, 1, 0], [0, -9, 0, 0], [0, 0, 0, 1], [-6, 0, 0, 0], [0, 0, 0, 0], [0, 6, 0, 0], [0, 2, 0, -1], [0, 0, 6, 0], [0, 1, 0, -1], [4, 0, -2, 0], [-4, 0, 4, 0], [2, 0, 0, 0], [3, 0, 3, 0], [0, 0, 0, 2], [0, -1, 0, 0], [-2, 0, 1, 0], [0, -2, 5, 2], [0, 0, -4, 0], [0, 4, 0, -2], [0, -13, 0, 0], [4, 0, 0, 0], [0, 0, -3, 0], [-1, 0, 0, 0], [-8, 0, 8, 0], [0, 1, 0, -2], [0, 0, -2, 0], [0, -2, 0, 2], [0, 0, 0, 0], [0, -2, 0, 0], [7, 0, 0, 0], [0, -3, 0, 0], [0, 0, 0, -4], [2, 0, -2, 0], [0, -2, 0, 1], [0, 1, 0, -1], [0, -1, 0, 1], [8, 0, -4, 0], [0, -4, 0, 0], [-2, 0, 0, 0], [0, 0, -9, 0], [-2, 0, 0, 0], [4, 0, -4, 0], [0, 1, 0, 1], [0, -4, 0, 4], [0, 0, -9, 0], [5, 4, -10, -2], [-1, 0, 1, 0], [0, 0, 0, -2], [0, -6, 0, 0], [-4, 0, 0, 0], [0, 0, 0, 0], [-4, 0, -4, 0], [0, 0, 6, 0], [0, 2, 0, -2], [1, 0, 1, 0], [0, -8, 0, 0], [0, 0, 0, 6], [0, -3, 0, 3], [1, 0, 0, 0]], 'ap': [[0, 1, 0, 0], [0, -1, 0, -1], [0, 0, 2, 0], [-1, 0, 1, 0], [0, 1, 0, 0], [0, 0, 4, 0], [0, 0, 0, 2], [0, 0, 0, -1], [0, 0, 0, 0], [-2, 5, 2, 0], [0, 4, 0, -4], [0, 0, 0, -2], [0, -2, 0, 2], [0, -9, 0, 0], [0, 6, 0, 0], [2, 0, 0, 0], [0, 0, -4, 0], [0, -13, 0, 0], [0, 0, -2, 0], [7, 0, 0, 0], [0, 0, 0, -4], [0, -4, 0, 0], [4, 0, -4, 0], [0, 0, 0, -2], [0, -8, 0, 0], [0, -6, 0, 0], [0, 0, -19, 0], [4, 0, 0, 0], [6, 0, 0, 0], [0, -14, 0, 14], [0, 0, 0, 6], [0, 9, 0, -9], [0, 12, 0, 0], [0, 0, -10, 0], [0, 0, 12, 0], [16, 0, -16, 0], [0, 9, 0, -9], [0, 0, 0, 17], [0, 0, -3, 0], [0, 0, 0, 0], [24, 0, 0, 0], [26, 0, 0, 0], [0, 0, 0, 0], [0, -10, 0, 10], [16, 0, 0, 0], [-8, 0, 0, 0], [0, 13, 0, -13], [-21, 0, 21, 0], [-18, 0, 18, 0], [0, -3, 0, 3], [-13, 0, 0, 0], [0, 0, 15, 0], [-1, 0, 1, 0], [0, 0, 0, 15], [0, 0, -26, 0], [0, -16, 0, 0], [0, 0, 0, -25], [0, 0, 0, -28], [0, 0, 0, 0], [-23, 0, 23, 0], [0, 0, 0, 0], [0, -5, 0, 5], [0, 0, 0, 9], [0, 18, 0, -18], [1, 0, -1, 0], [0, 11, 0, 0], [0, 31, 0, 0], [0, -8, 0, 8], [0, 0, -36, 0], [28, 0, -28, 0], [-21, 0, 21, 0], [0, 0, 0, -4], [0, 10, 0, 0], [0, 0, -10, 0], [0, 0, 0, 5], [0, 0, -27, 0], [0, -18, 0, 0], [-18, 0, 0, 0], [0, 0, 23, 0], [0, 32, 0, -32], [0, 0, -18, 0], [0, 11, 0, 0], [-23, 0, 0, 0], [0, 0, 0, 2], [-15, 0, 15, 0], [0, -4, 0, 0], [0, 0, 0, 30], [18, 0, -18, 0], [0, 5, 0, 0], [0, 0, 19, 0], [0, 0, 0, 3], [0, -38, 0, 0], [-19, 0, 0, 0], [0, -12, 0, 12], [0, 0, -24, 0], [0, 0, 0, -12], [0, 0, 24, 0], [-37, 0, 0, 0], [4, 0, 0, 0], [0, 0, 0, 22], [-38, 0, 38, 0], [12, 0, 0, 0], [0, 28, 0, -28], [0, -6, 0, 0], [0, 0, 20, 0], [0, 0, 0, 20], [18, 0, -18, 0], [-43, 0, 0, 0], [0, -30, 0, 30], [0, -42, 0, 0], [0, -40, 0, 40], [-10, 0, 0, 0], [0, 32, 0, -32], [0, -20, 0, 0], [-44, 0, 0, 0], [0, 30, 0, 0], [0, 0, -14, 0], [11, 0, 0, 0], [0, 39, 0, -39], [0, -13, 0, 0], [0, 0, -16, 0], [11, 0, -11, 0], [0, 35, 0, 0], [-18, 0, 0, 0], [-8, 0, 8, 0], [0, 0, 0, 0], [-40, 0, 40, 0], [31, 0, 0, 0], [0, -18, 0, 0], [0, 30, 0, -30], [0, 0, 0, 24], [0, -28, 0, 28], [0, -38, 0, 38], [0, 0, 0, 23], [0, 0, 22, 0], [0, 50, 0, -50], [0, 0, 0, 38], [0, 0, -4, 0], [0, -37, 0, 37], [0, 0, 0, -16], [6, 0, 0, 0], [18, 0, -18, 0], [0, -50, 0, 50], [0, 0, 0, 9], [0, 0, 0, -7], [0, 12, 0, 0], [0, -7, 0, 0], [-7, 0, 7, 0], [0, -4, 0, 4], [-33, 0, 0, 0], [0, 0, -40, 0], [0, 0, 0, 58], [-26, 0, 0, 0], [0, 0, 0, 0], [0, 7, 0, 0], [0, -30, 0, 0], [-29, 0, 0, 0], [-31, 0, 31, 0], [41, 0, 0, 0], [0, 0, -24, 0], [0, 27, 0, 0], [-47, 0, 0, 0], [0, -22, 0, 22], [0, 0, 0, 53], [0, 0, -54, 0], [0, -20, 0, 0], [43, 0, 0, 0], [0, -26, 0, 0]], 'char_orbit_index': 8, 'field_poly': [1, 0, -1, 0, 1], 'hecke_orbit_code': 481069892106, 'hecke_ring_character_values': [[407, [0, 0, -1, 0]], [379, [-1, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 4, 'label': '522.2.h.a', 'level': 522, '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

  
  {'Nk2': 2088, 'analytic_conductor': 4.168190985510836, 'char_conductor': 261, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 6, 'char_parity': 1, 'char_values': [522, 6, [407, 379], [4, 3]], 'conrey_index': 115, 'cusp_dim': 172, 'dim': 60, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 481069892106, 'hecke_orbit_dims': [4, 56], 'label': '522.2.h', 'level': 522, '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, 29], 'level_radical': 174, 'mf_dim': 188, 'mf_new_dim': 60, 'num_forms': 2, 'prim_orbit_index': 9, 'relative_dim': 30, 'sturm_bound': 180, 'trace_bound': 1, 'trace_display': [0, 0, -4, 0], 'traces': [60, 0, 0, 30, -4, -8, 0, 0, 20, 0, 0, 0, 0, 0, 0, -30, 0, 0, 0, 4, 0, 0, -12, -4, -30, 0, 0, 0, -12, -2, 0, 0, -30, 0, 64, 16, 0, -18, 0, 0, 0, -12, 0, 0, 56, 0, 0, 0, -42, 0, -36, 0, -40, -4, 0, 0, -28, -6, 32, 0, 0, 56, -12, -60, 54, 0, 0, 0, 0, 0, -8, 0, 0, 16, 0, 0, 0, -14, 0, 8, -92, 48, 60, 0, 0, -28, -22, 0, 0, 0, 48, 12, -46, -12, 0, 4, 0, 0, 0, -60, 0, 0, -12, 0, 0, 0, 112, 0, 72, 32, -120, 0, 0, 0, -24, -24, -82, 0, 0, -16, 78, 0, 32, 0, -60, 0, 0, 0, 130, 0, 0, -6, 0, 0, 0, 0, 0, 12, 36, 32, -58, 0, 0, -4, -48, -24, 0, 0, -84, 158, 24, -36, 0, -24, 0, 0, 0, -64, 0, 0, -192, 0, 0, 0, -96, 0, 132, 12, -6, -112, 0, 0, -54, 28, -48, 0, 0, 0, 8, 10, -24, 0, -116, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 24, 0, 42, 64, 36, 72, 0, 0, 24, -40, 0, 0, 0, 96, 0, -100, -72, 0, -20, 0, 0, 0, -26, 0, 0, 44, 0, 0, 0, 48, 0, 64, 0, 40, 28, 0, 0, 120, 6, -8, 0, 0, -32, 44, 0, 88, 0, 36, 0, 0, 0, 20, 0, 0, 28, 0, 0, 0, 36, 0, 70, 84, -30, 176, 0, 0, 108, -160, -36, 0, 0, -42, -28, 96, 0, 0, 68, 0, 0, 0, -24, 0, 0, -66, 0, 0, 0, -52, 0, -60, -4, -196, 42, 0, 0, -228, 68, 68, 0, 0, 128, 24, 32, 108, 0, -12, 0, 0, 0, 136, 0, 0, -24, 0, 0, 0, 30, 0, -70, 60, -152, 228, 0, 0, 78, 18, 4, 0, 0, 344, -76, 36, 8, 0, 24, 0, 0, 0, 120, 0, 0, 144, 0, 0, 0, -180, 0, -260, -256, -96, 28, 0, 0, -120, 22, 60, 0, 0, 0, -96, 100, 24, 0, 12, 0, 0, 0, 24, 0, 0, 24, 0, 0, 0, 24, 0, 0, -208, -68, -24, 0, 0, 12, 152, 0, 0, 0, 44, 6, -44, 8, 0, 112, 0, 0, 0, 214, 0, 0, -268, 0, 0, 0, 192, 0, 132, -30, -76, -104, 0, 0, 250, -120, -152, 0, 0, 8, -16, 12, -488, 0, -96, 0, 0, 0, 36, 0, 0, -304, 0, 0, 0, -156, 0, 56, 6, -54, -376, 0, 0, -44, 152, 36, 0, 0, -60, 64, -8, 72, 0, -24, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, -208, 0, -66, -136, 348, -48, 0, 0, -84, -12, 284, 0, 0, 82, 216, -134, 56, 0, 54, 0, 0, 0, -498, 0, 0, -14, 0, 0, 0, -78, 0, 124, 72, 0, 210, 0, 0, -20, -54, 272, 0, 0, -68, -176, 24, -30, 0, 120, 0, 0, 0, -168, 0, 0, 184, 0, 0, 0, 370, 0, 380, -16, -90, 172, 0, 0, 200, -130, -72, 0, 0, 12, -164, 24, -6, 0, 68, 0, 0, 0, -132, 0, 0, 48, 0, 0, 0, -8, 0, 0, -92, 12, 0, 0, 0, -132, -42, 84, 0, 0, 120, -36, 140, 164, 0, -32, 0, 0, 0, -8, 0, 0, 288, 0, 0, 0, -24, 0, -304, 60, -48, -20, 0, 0, -440, -24, -100, 0, 0, -48, -226, 216, 120, 0, -72, 0, 0, 0, -56, 0, 0, 84, 0, 0, 0, 58, 0, -264, -460, 48, 402, 0, 0, -18, 180, -24, 0, 0, -24, 0, -196, -12, 0, -128, 0, 0, 0, -60, 0, 0, 18, 0, 0, 0, 208, 0, -48, 64, 194, 48, 0, 0, 0, -92, -408, 0, 0, -312, 96, -96, -302, 0, -40, 0, 0, 0, 48, 0, 0, -74, 0, 0, 0, -48, 0, -6, 78, 144, -492, 0, 0, 60, 48, -132, 0, 0, -200, 24, -156, 8, 0, -12, 0, 0, 0, -56, 0, 0, -288, 0, 0, 0, -56, 0, 346, 420, 36, -108, 0, 0, -20, -34, 72, 0, 0, 48, 832, -88, -192, 0, -358, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 4, 0, -24, 648, -46, -168, 0, 0, -12, -180, -112, 0, 0, -214, 96, -72, 92, 0, -90, 0, 0, 0, -268, 0, 0, -118, 0, 0, 0, -138, 0, 296, -24, -8, 54, 0, 0, 168, 60, 120, 0, 0, 68, 216, 0, 206, 0, -36, 0, 0, 0, 48, 0, 0, 248, 0, 0, 0, 46, 0, -24, 312, 180, 288, 0, 0, 288, -290, 84, 0, 0, 120, 32, 476, 78, 0, 30, 0, 0, 0, 36, 0, 0, 204, 0, 0, 0, 56, 0, 252, 48, -332, -24, 0, 0, 96, 40, 130, 0, 0, 36, 36, 464, 396, 0, -68, 0, 0, 0, 780, 0, 0, 48, 0, 0, 0, 0, 0, -204, -168, -200, 52, 0, 0, 72, -18, -308, 0, 0, 360, -154, 0, 20, 0, -96, 0, 0, 0, 568, 0, 0, 220, 0, 0, 0, -36, 0, -1016, -22, 576, 268, 0, 0, 46, 346, -144, 0, 0, -168, -468, 136, 180, 0, -88, 0, 0, 0, -288, 0, 0, 66, 0, 0, 0, -152, 0, 96, -136, -210, -48, 0, 0, 72, 184, -142, 0, 0, -240, 0, -142, -332, 0, 80, 0, 0, 0, 56, 0, 0, -428, 0, 0, 0, -576, 0, 30, -12, 20, -108, 0, 0, 8, 12, -62, 0, 0, -4, 204, -72, -400, 0, 156, 0, 0, 0, -152, 0, 0, -64, 0, 0, 0, -50, 0, 102, 228, 0, -744, 0, 0, -88, 252, 0, 0, 0, 42, -160, 12, 72, 0, 36, 0, 0, 0, -144, 0, 0, -96, 0, 0, 0, -192, 0, 132, 40, 266, 0, 0, 0, 48, 22, 660, 0, 0, -48, -216, -28, -106, 0, 308, 0, 0, 0, -804, 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: 365446
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '522.2.h.a', 'source_level': 522, 'target_char_orbit': 8, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '522.2.h.a', 'target_level': 522, 'twist_class_label': '522.2.h.a', 'twist_class_level': 522, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 365447
    {'conductor': 9, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '522.2.h.a', 'source_level': 522, 'target_char_orbit': 8, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '522.2.h.a', 'target_level': 522, 'twist_class_label': '522.2.h.a', 'twist_class_level': 522, 'twisting_char_label': '9.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 365448
    {'conductor': 29, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '522.2.h.a', 'source_level': 522, 'target_char_orbit': 8, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '522.2.h.a', 'target_level': 522, 'twist_class_label': '522.2.h.a', 'twist_class_level': 522, 'twisting_char_label': '29.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 365449
    {'conductor': 261, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '522.2.h.a', 'source_level': 522, 'target_char_orbit': 8, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '522.2.h.a', 'target_level': 522, 'twist_class_label': '522.2.h.a', 'twist_class_level': 522, 'twisting_char_label': '261.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 365450
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '522.2.h.a', 'source_level': 522, 'target_char_orbit': 8, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1566.2.h.a', 'target_level': 1566, 'twist_class_label': '522.2.h.a', 'twist_class_level': 522, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 365451
    {'conductor': 9, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '522.2.h.a', 'source_level': 522, 'target_char_orbit': 8, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1566.2.h.a', 'target_level': 1566, 'twist_class_label': '522.2.h.a', 'twist_class_level': 522, 'twisting_char_label': '9.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 365452
    {'conductor': 87, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '522.2.h.a', 'source_level': 522, 'target_char_orbit': 8, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1566.2.h.a', 'target_level': 1566, 'twist_class_label': '522.2.h.a', 'twist_class_level': 522, 'twisting_char_label': '87.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 365453
    {'conductor': 261, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '522.2.h.a', 'source_level': 522, 'target_char_orbit': 8, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1566.2.h.a', 'target_level': 1566, 'twist_class_label': '522.2.h.a', 'twist_class_level': 522, 'twisting_char_label': '261.h', 'twisting_char_orbit': 8, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 999325
    {'charpoly_factorization': [[[1, 0, -1, 0, 1], 1]], 'hecke_orbit_code': 481069892106, 'p': 2}
  • id: 999326
    {'charpoly_factorization': [[[9, 0, 3, 0, 1], 1]], 'hecke_orbit_code': 481069892106, 'p': 3}
  • id: 999327
    {'charpoly_factorization': [[[4, -2, 1], 2]], 'hecke_orbit_code': 481069892106, 'p': 5}
  • id: 999328
    {'charpoly_factorization': [[[1, 1, 1], 2]], 'hecke_orbit_code': 481069892106, 'p': 7}
  • id: 999329
    {'charpoly_factorization': [[[1, 0, -1, 0, 1], 1]], 'hecke_orbit_code': 481069892106, 'p': 11}
  • id: 999330
    {'charpoly_factorization': [[[16, -4, 1], 2]], 'hecke_orbit_code': 481069892106, 'p': 13}
  • id: 999331
    {'charpoly_factorization': [[[4, 0, 1], 2]], 'hecke_orbit_code': 481069892106, 'p': 17}
  • id: 999332
    {'charpoly_factorization': [[[1, 0, 1], 2]], 'hecke_orbit_code': 481069892106, 'p': 19}
  • id: 999333
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 481069892106, 'p': 23}
  • id: 999334
    {'charpoly_factorization': [[[841, 116, -13, 4, 1], 1]], 'hecke_orbit_code': 481069892106, 'p': 29}
  • id: 999335
    {'charpoly_factorization': [[[256, 0, -16, 0, 1], 1]], 'hecke_orbit_code': 481069892106, 'p': 31}
  • id: 999336
    {'charpoly_factorization': [[[4, 0, 1], 2]], 'hecke_orbit_code': 481069892106, 'p': 37}
  • id: 999337
    {'charpoly_factorization': [[[16, 0, -4, 0, 1], 1]], 'hecke_orbit_code': 481069892106, 'p': 41}
  • id: 999338
    {'charpoly_factorization': [[[6561, 0, -81, 0, 1], 1]], 'hecke_orbit_code': 481069892106, 'p': 43}
  • id: 999339
    {'charpoly_factorization': [[[1296, 0, -36, 0, 1], 1]], 'hecke_orbit_code': 481069892106, 'p': 47}
  • id: 999340
    {'charpoly_factorization': [[[-2, 1], 4]], 'hecke_orbit_code': 481069892106, 'p': 53}
  • id: 999341
    {'charpoly_factorization': [[[16, 4, 1], 2]], 'hecke_orbit_code': 481069892106, 'p': 59}
  • id: 999342
    {'charpoly_factorization': [[[28561, 0, -169, 0, 1], 1]], 'hecke_orbit_code': 481069892106, 'p': 61}
  • id: 999343
    {'charpoly_factorization': [[[4, 2, 1], 2]], 'hecke_orbit_code': 481069892106, 'p': 67}
  • id: 999344
    {'charpoly_factorization': [[[-7, 1], 4]], 'hecke_orbit_code': 481069892106, 'p': 71}
  • id: 999345
    {'charpoly_factorization': [[[16, 0, 1], 2]], 'hecke_orbit_code': 481069892106, 'p': 73}
  • id: 999346
    {'charpoly_factorization': [[[256, 0, -16, 0, 1], 1]], 'hecke_orbit_code': 481069892106, 'p': 79}
  • id: 999347
    {'charpoly_factorization': [[[16, -4, 1], 2]], 'hecke_orbit_code': 481069892106, 'p': 83}
  • id: 999348
    {'charpoly_factorization': [[[4, 0, 1], 2]], 'hecke_orbit_code': 481069892106, 'p': 89}
  • id: 999349
    {'charpoly_factorization': [[[4096, 0, -64, 0, 1], 1]], 'hecke_orbit_code': 481069892106, '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': 8, 'hecke_orbit': 1, 'label': '522.2.h.a', 'level': 522, '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: 9338634
    {'hecke_orbit_code': 481069892106, 'n': 1, 'trace_an': 4}
  • id: 9338635
    {'hecke_orbit_code': 481069892106, 'n': 2, 'trace_an': 0}
  • id: 9338636
    {'hecke_orbit_code': 481069892106, 'n': 3, 'trace_an': 0}
  • id: 9338637
    {'hecke_orbit_code': 481069892106, 'n': 4, 'trace_an': 2}
  • id: 9338638
    {'hecke_orbit_code': 481069892106, 'n': 5, 'trace_an': 4}
  • id: 9338639
    {'hecke_orbit_code': 481069892106, 'n': 6, 'trace_an': 0}
  • id: 9338640
    {'hecke_orbit_code': 481069892106, 'n': 7, 'trace_an': -2}
  • id: 9338641
    {'hecke_orbit_code': 481069892106, 'n': 8, 'trace_an': 0}
  • id: 9338642
    {'hecke_orbit_code': 481069892106, 'n': 9, 'trace_an': -6}
  • id: 9338643
    {'hecke_orbit_code': 481069892106, 'n': 10, 'trace_an': 0}
  • id: 9338644
    {'hecke_orbit_code': 481069892106, 'n': 11, 'trace_an': 0}
  • id: 9338645
    {'hecke_orbit_code': 481069892106, 'n': 12, 'trace_an': 0}
  • id: 9338646
    {'hecke_orbit_code': 481069892106, 'n': 13, 'trace_an': 8}
  • id: 9338647
    {'hecke_orbit_code': 481069892106, 'n': 14, 'trace_an': 0}
  • id: 9338648
    {'hecke_orbit_code': 481069892106, 'n': 15, 'trace_an': 0}
  • id: 9338649
    {'hecke_orbit_code': 481069892106, 'n': 16, 'trace_an': -2}
  • id: 9338650
    {'hecke_orbit_code': 481069892106, 'n': 17, 'trace_an': 0}
  • id: 9338651
    {'hecke_orbit_code': 481069892106, 'n': 18, 'trace_an': 0}
  • id: 9338652
    {'hecke_orbit_code': 481069892106, 'n': 19, 'trace_an': 0}
  • id: 9338653
    {'hecke_orbit_code': 481069892106, 'n': 20, 'trace_an': -4}
  • id: 9338654
    {'hecke_orbit_code': 481069892106, 'n': 21, 'trace_an': 0}
  • id: 9338655
    {'hecke_orbit_code': 481069892106, 'n': 22, 'trace_an': 2}
  • id: 9338656
    {'hecke_orbit_code': 481069892106, 'n': 23, 'trace_an': 0}
  • id: 9338657
    {'hecke_orbit_code': 481069892106, 'n': 24, 'trace_an': 6}
  • id: 9338658
    {'hecke_orbit_code': 481069892106, 'n': 25, 'trace_an': 2}
  • id: 9338659
    {'hecke_orbit_code': 481069892106, 'n': 26, 'trace_an': 0}
  • id: 9338660
    {'hecke_orbit_code': 481069892106, 'n': 27, 'trace_an': 0}
  • id: 9338661
    {'hecke_orbit_code': 481069892106, 'n': 28, 'trace_an': -4}
  • id: 9338662
    {'hecke_orbit_code': 481069892106, 'n': 29, 'trace_an': -4}
  • id: 9338663
    {'hecke_orbit_code': 481069892106, 'n': 30, 'trace_an': 12}
  • id: 9338664
    {'hecke_orbit_code': 481069892106, 'n': 31, 'trace_an': 0}
  • id: 9338665
    {'hecke_orbit_code': 481069892106, 'n': 32, 'trace_an': 0}
  • id: 9338666
    {'hecke_orbit_code': 481069892106, 'n': 33, 'trace_an': 0}
  • id: 9338667
    {'hecke_orbit_code': 481069892106, 'n': 34, 'trace_an': -4}
  • id: 9338668
    {'hecke_orbit_code': 481069892106, 'n': 35, 'trace_an': -8}
  • id: 9338669
    {'hecke_orbit_code': 481069892106, 'n': 36, 'trace_an': -12}
  • id: 9338670
    {'hecke_orbit_code': 481069892106, 'n': 37, 'trace_an': 0}
  • id: 9338671
    {'hecke_orbit_code': 481069892106, 'n': 38, 'trace_an': 2}
  • id: 9338672
    {'hecke_orbit_code': 481069892106, 'n': 39, 'trace_an': 0}
  • id: 9338673
    {'hecke_orbit_code': 481069892106, 'n': 40, 'trace_an': 0}
  • id: 9338674
    {'hecke_orbit_code': 481069892106, 'n': 41, 'trace_an': 0}
  • id: 9338675
    {'hecke_orbit_code': 481069892106, 'n': 42, 'trace_an': 6}
  • id: 9338676
    {'hecke_orbit_code': 481069892106, 'n': 43, 'trace_an': 0}
  • id: 9338677
    {'hecke_orbit_code': 481069892106, 'n': 44, 'trace_an': 0}
  • id: 9338678
    {'hecke_orbit_code': 481069892106, 'n': 45, 'trace_an': -24}
  • id: 9338679
    {'hecke_orbit_code': 481069892106, 'n': 46, 'trace_an': 0}
  • id: 9338680
    {'hecke_orbit_code': 481069892106, 'n': 47, 'trace_an': 0}
  • id: 9338681
    {'hecke_orbit_code': 481069892106, 'n': 48, 'trace_an': 0}
  • id: 9338682
    {'hecke_orbit_code': 481069892106, 'n': 49, 'trace_an': 12}
  • id: 9338683
    {'hecke_orbit_code': 481069892106, 'n': 50, 'trace_an': 0}
  • id: 9338684
    {'hecke_orbit_code': 481069892106, 'n': 51, 'trace_an': 12}
  • id: 9338685
    {'hecke_orbit_code': 481069892106, 'n': 52, 'trace_an': -8}
  • id: 9338686
    {'hecke_orbit_code': 481069892106, 'n': 53, 'trace_an': 8}
  • id: 9338687
    {'hecke_orbit_code': 481069892106, 'n': 54, 'trace_an': 18}
  • id: 9338688
    {'hecke_orbit_code': 481069892106, 'n': 55, 'trace_an': 0}
  • id: 9338689
    {'hecke_orbit_code': 481069892106, 'n': 56, 'trace_an': 0}
  • id: 9338690
    {'hecke_orbit_code': 481069892106, 'n': 57, 'trace_an': -6}
  • id: 9338691
    {'hecke_orbit_code': 481069892106, 'n': 58, 'trace_an': 10}
  • id: 9338692
    {'hecke_orbit_code': 481069892106, 'n': 59, 'trace_an': -8}
  • id: 9338693
    {'hecke_orbit_code': 481069892106, 'n': 60, 'trace_an': 0}
  • id: 9338694
    {'hecke_orbit_code': 481069892106, 'n': 61, 'trace_an': 0}
  • id: 9338695
    {'hecke_orbit_code': 481069892106, 'n': 62, 'trace_an': 16}
  • id: 9338696
    {'hecke_orbit_code': 481069892106, 'n': 63, 'trace_an': -6}
  • id: 9338697
    {'hecke_orbit_code': 481069892106, 'n': 64, 'trace_an': -4}
  • id: 9338698
    {'hecke_orbit_code': 481069892106, 'n': 65, 'trace_an': -16}
  • id: 9338699
    {'hecke_orbit_code': 481069892106, 'n': 66, 'trace_an': 0}
  • id: 9338700
    {'hecke_orbit_code': 481069892106, 'n': 67, 'trace_an': -4}
  • id: 9338701
    {'hecke_orbit_code': 481069892106, 'n': 68, 'trace_an': 0}
  • id: 9338702
    {'hecke_orbit_code': 481069892106, 'n': 69, 'trace_an': 0}
  • id: 9338703
    {'hecke_orbit_code': 481069892106, 'n': 70, 'trace_an': 0}
  • id: 9338704
    {'hecke_orbit_code': 481069892106, 'n': 71, 'trace_an': 28}
  • id: 9338705
    {'hecke_orbit_code': 481069892106, 'n': 72, 'trace_an': 0}
  • id: 9338706
    {'hecke_orbit_code': 481069892106, 'n': 73, 'trace_an': 0}
  • id: 9338707
    {'hecke_orbit_code': 481069892106, 'n': 74, 'trace_an': 4}
  • id: 9338708
    {'hecke_orbit_code': 481069892106, 'n': 75, 'trace_an': 0}
  • id: 9338709
    {'hecke_orbit_code': 481069892106, 'n': 76, 'trace_an': 0}
  • id: 9338710
    {'hecke_orbit_code': 481069892106, 'n': 77, 'trace_an': 0}
  • id: 9338711
    {'hecke_orbit_code': 481069892106, 'n': 78, 'trace_an': 24}
  • id: 9338712
    {'hecke_orbit_code': 481069892106, 'n': 79, 'trace_an': 0}
  • id: 9338713
    {'hecke_orbit_code': 481069892106, 'n': 80, 'trace_an': -8}
  • id: 9338714
    {'hecke_orbit_code': 481069892106, 'n': 81, 'trace_an': -18}
  • id: 9338715
    {'hecke_orbit_code': 481069892106, 'n': 82, 'trace_an': -8}
  • id: 9338716
    {'hecke_orbit_code': 481069892106, 'n': 83, 'trace_an': 8}
  • id: 9338717
    {'hecke_orbit_code': 481069892106, 'n': 84, 'trace_an': 0}
  • id: 9338718
    {'hecke_orbit_code': 481069892106, 'n': 85, 'trace_an': 0}
  • id: 9338719
    {'hecke_orbit_code': 481069892106, 'n': 86, 'trace_an': -18}
  • id: 9338720
    {'hecke_orbit_code': 481069892106, 'n': 87, 'trace_an': 0}
  • id: 9338721
    {'hecke_orbit_code': 481069892106, 'n': 88, 'trace_an': -2}
  • id: 9338722
    {'hecke_orbit_code': 481069892106, 'n': 89, 'trace_an': 0}
  • id: 9338723
    {'hecke_orbit_code': 481069892106, 'n': 90, 'trace_an': 0}
  • id: 9338724
    {'hecke_orbit_code': 481069892106, 'n': 91, 'trace_an': -16}
  • id: 9338725
    {'hecke_orbit_code': 481069892106, 'n': 92, 'trace_an': 0}
  • id: 9338726
    {'hecke_orbit_code': 481069892106, 'n': 93, 'trace_an': -24}
  • id: 9338727
    {'hecke_orbit_code': 481069892106, 'n': 94, 'trace_an': 12}
  • id: 9338728
    {'hecke_orbit_code': 481069892106, 'n': 95, 'trace_an': 0}
  • id: 9338729
    {'hecke_orbit_code': 481069892106, 'n': 96, 'trace_an': 6}
  • id: 9338730
    {'hecke_orbit_code': 481069892106, 'n': 97, 'trace_an': 0}
  • id: 9338731
    {'hecke_orbit_code': 481069892106, 'n': 98, 'trace_an': 0}
  • id: 9338732
    {'hecke_orbit_code': 481069892106, 'n': 99, 'trace_an': 0}
  • id: 9338733
    {'hecke_orbit_code': 481069892106, 'n': 100, 'trace_an': 4}