Newform data - 1600.2.n.v

Formats: - HTML - YAML - JSON - 2026-10-05T01:46:08.163715

• 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': 6400, 'analytic_conductor': 12.776064323404862, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 20, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 14, 'char_orbit_label': 'n', 'char_order': 4, 'char_parity': 1, 'char_values': [1600, 4, [1151, 901, 577], [2, 4, 3]], 'cm_discs': [], 'conrey_index': 1343, 'dim': 8, 'field_disc': 3317760000, 'field_disc_factorization': [[2, 16], [3, 4], [5, 4]], 'field_poly': [16, 0, 0, 0, -7, 0, 0, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [25, 0, 0, 0, 1]], [7, [0, 1]], [11, [15, 0, 1]], [13, [144, 0, 0, 0, 1]]], 'hecke_orbit': 22, 'hecke_orbit_code': 94576485561534016, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 16, 'hecke_ring_index_factorization': [[2, 4]], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 2, 5, 3, -1, 4, 0], [1, 1, 5, 2, 1, 2, 0], [1, 1, 20, 4, -1, 2, 0], [1, 2, 20, 5, 1, 4, 0], [1, 1, 4, 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': '1600.2.n.v', 'level': 1600, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'minimal_twist': '100.2.e.d', 'nf_label': '8.0.3317760000.5', 'prim_orbit_index': 5, 'qexp_display': 'q+\\beta _{2}q^{3}+2\\beta _{3}q^{9}+\\beta _{7}q^{11}+2\\beta _{4}q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1600.2.n', 'trace_display': [0, 0, 0, 0], 'trace_hash': 964363049623506921, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.030', 'prec': 7}, {'__RealLiteral__': 0, 'data': '7.412', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '906.438', 'prec': 20}, 0, {'__RealLiteral__': 0, 'data': '137419.993', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.880', 'prec': 10}, 'traces': [8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 2, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 2, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 6, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 2], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 5, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, -4, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -2, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [-3, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 2, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 7, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -1], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, -5, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [8, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, -3, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 10, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -2], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 3, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 4, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [11, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, -6, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 9, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 10, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 4, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -2, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0]], 'ap': [[0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 0, 2, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -1, 0, 0], [0, 0, 2, 0, 0, 0, 0, 0], [0, 0, 0, 6, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 2], [0, -4, 0, 0, 0, 0, 0, 0], [-3, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 2, 0], [0, 0, 0, 0, 2, 0, 0, 0], [0, 0, 0, 0, 0, 2, 0, 0], [8, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, -3, 0], [0, 0, 0, 0, 0, 0, 0, -2], [0, 0, 0, 0, 3, 0, 0, 0], [0, 0, 0, 0, 0, 4, 0, 0], [0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 9, 0, 0, 0, 0], [0, 4, 0, 0, 0, 0, 0, 0], [-12, 0, 0, 0, 0, 0, 0, 0], [0, 0, -6, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 5, 0], [0, 0, 0, -4, 0, 0, 0, 0], [0, 0, 0, 0, 3, 0, 0, 0], [0, 0, 0, 0, 0, 0, 6, 0], [0, 0, 0, 0, 0, 0, 0, -2], [0, -11, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 3, 0, 0], [0, 0, 0, 6, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 6, 0, 0, 0, 0, 0, 0], [0, 0, -3, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, -2, 0], [0, 0, 0, 0, -8, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 0], [-2, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 6], [0, 0, 0, 0, 3, 0, 0, 0], [0, -14, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1], [0, 0, 12, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 4, 0], [0, 0, 0, -4, 0, 0, 0, 0], [0, 0, 0, 0, -12, 0, 0, 0], [0, 0, 0, 0, 0, 2, 0, 0], [17, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 5], [0, 4, 0, 0, 0, 0, 0, 0], [0, 0, -2, 0, 0, 0, 0, 0], [0, 0, 0, -24, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -2], [0, 6, 0, 0, 0, 0, 0, 0], [-18, 0, 0, 0, 0, 0, 0, 0], [0, 0, 9, 0, 0, 0, 0, 0], [0, 0, 0, 0, -8, 0, 0, 0], [0, 0, 0, 0, 0, 0, 15, 0], [0, 0, 0, 0, 0, 0, 0, 4], [0, 0, 0, 0, -12, 0, 0, 0], [0, -4, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 3], [0, 9, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, -7, 0], [0, 0, 0, 16, 0, 0, 0, 0], [0, 0, 0, 0, -12, 0, 0, 0], [0, 0, 0, 0, 0, 8, 0, 0], [0, 0, 0, 0, 0, 0, -12, 0], [0, 0, 0, 0, -18, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 16, 0, 0, 0, 0, 0], [0, 0, 0, 6, 0, 0, 0, 0], [0, 16, 0, 0, 0, 0, 0, 0], [-33, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, -31, 0, 0, 0, 0], [0, 0, 0, 0, 0, 9, 0, 0], [8, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -8], [0, 0, 0, 0, 13, 0, 0, 0], [0, 0, 0, 0, 0, 2, 0, 0], [0, 0, -5, 0, 0, 0, 0, 0], [0, 0, 0, 9, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0], [-12, 0, 0, 0, 0, 0, 0, 0], [0, 0, -12, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, -8, 0], [0, 0, 0, 0, 0, -6, 0, 0], [0, 0, 0, 0, 0, 0, -6, 0], [0, 0, 0, 0, 0, 0, 0, -6], [0, 0, 0, 0, 0, 10, 0, 0], [0, 0, -16, 0, 0, 0, 0, 0], [0, 0, 0, 6, 0, 0, 0, 0], [-3, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 0, 0, 0, 0, 0], [8, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 3, 0], [0, 6, 0, 0, 0, 0, 0, 0], [0, 0, -8, 0, 0, 0, 0, 0], [0, 0, 0, 39, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 2], [0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, -17, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [17, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 22, 0, 0, 0], [0, -16, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -6, 0, 0], [0, 0, 0, 0, 0, 0, 0, 2], [-18, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, -8, 0], [0, 0, 0, 0, -28, 0, 0, 0], [0, 0, 0, 0, 0, -3, 0, 0], [-2, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 8, 0, 0, 0], [0, -24, 0, 0, 0, 0, 0, 0], [0, 0, 19, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -1], [-42, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, -4, 0, 0, 0, 0], [0, 0, 0, 0, 0, -4, 0, 0], [0, 0, 0, 0, 0, 0, 6, 0], [0, 0, 0, 0, 22, 0, 0, 0], [0, 0, 0, 0, 0, -2, 0, 0], [0, 0, 10, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 10], [0, -4, 0, 0, 0, 0, 0, 0], [-33, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 19, 0, 0, 0, 0], [0, 0, 0, 0, 22, 0, 0, 0], [0, 0, 0, 0, 0, 0, -24, 0], [0, -14, 0, 0, 0, 0, 0, 0], [0, 0, 0, -6, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 6], [18, 0, 0, 0, 0, 0, 0, 0], [0, 0, 12, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 19, 0], [0, 0, 0, 46, 0, 0, 0, 0], [0, 0, 0, 0, 0, -8, 0, 0], [0, 0, 0, 0, 2, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -13, 0, 0], [0, 0, -2, 0, 0, 0, 0, 0], [0, -4, 0, 0, 0, 0, 0, 0], [42, 0, 0, 0, 0, 0, 0, 0], [0, 0, 9, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, -16, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 4], [0, 0, 0, 0, 0, 6, 0, 0], [0, 0, 0, -6, 0, 0, 0, 0], [0, 29, 0, 0, 0, 0, 0, 0], [-42, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 8, 0], [0, 0, 0, 0, 3, 0, 0, 0], [0, 0, 0, 0, 0, 0, -12, 0], [0, 0, 0, 0, 0, 0, 0, 7], [0, -21, 0, 0, 0, 0, 0, 0], [0, 0, -4, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -4], [0, 16, 0, 0, 0, 0, 0, 0], [0, 0, 0, 29, 0, 0, 0, 0], [0, 0, 0, 0, 2, 0, 0, 0], [0, 0, 0, 0, 0, 9, 0, 0], [28, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -8], [0, 0, 0, 0, -7, 0, 0, 0], [0, 0, 0, 0, 0, 2, 0, 0], [0, 0, 0, 9, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -5], [-12, 0, 0, 0, 0, 0, 0, 0], [0, 0, -12, 0, 0, 0, 0, 0], [0, 0, 0, -14, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 24, 0], [0, 0, 0, 0, 0, 0, 0, -11], [0, 0, 0, 0, -8, 0, 0, 0], [0, -21, 0, 0, 0, 0, 0, 0], [0, 0, 14, 0, 0, 0, 0, 0], [0, 0, 0, -24, 0, 0, 0, 0], [0, -24, 0, 0, 0, 0, 0, 0], [0, 0, 3, 0, 0, 0, 0, 0], [0, 0, 0, -31, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -10], [0, 0, 0, 0, 13, 0, 0, 0], [0, 0, -13, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -13], [18, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, -19, 0], [0, 0, 0, 0, 28, 0, 0, 0], [-23, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2, 0, 0, 0], [0, 9, 0, 0, 0, 0, 0, 0], [0, 0, -8, 0, 0, 0, 0, 0], [0, 0, 0, -54, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 12], [0, 16, 0, 0, 0, 0, 0, 0], [0, 0, 0, 19, 0, 0, 0, 0], [0, 0, 0, 0, 0, 2, 0, 0], [0, 6, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -6, 0, 0], [0, 0, -16, 0, 0, 0, 0, 0], [0, 0, 0, -6, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -6], [0, -36, 0, 0, 0, 0, 0, 0], [48, 0, 0, 0, 0, 0, 0, 0], [0, 0, -6, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, -25, 0], [0, 0, 0, 0, 0, -14, 0, 0], [47, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 6, 0], [-33, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 8, 0], [0, 0, 0, 0, -8, 0, 0, 0], [-2, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 10, 0, 0], [0, 0, 0, -51, 0, 0, 0, 0], [0, 0, 12, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, -11, 0], [0, 0, 0, -44, 0, 0, 0, 0], [0, 0, 0, 0, 13, 0, 0, 0], [0, 0, 0, 0, 0, 2, 0, 0], [0, 0, 0, 0, 0, 0, -18, 0], [0, 0, 0, 0, 0, 0, 0, 15], [0, 0, 0, 0, -28, 0, 0, 0], [0, 0, 0, 0, 0, 7, 0, 0], [0, 0, 0, 0, 0, 0, 0, -12], [27, 0, 0, 0, 0, 0, 0, 0], [0, 0, 24, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 4, 0], [0, 0, 0, -41, 0, 0, 0, 0], [0, 0, 0, 0, 22, 0, 0, 0], [0, 0, 0, 0, 0, -15, 0, 0], [0, 0, 0, 0, 0, 0, 0, 4], [0, 0, 13, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 13], [0, 0, 30, 0, 0, 0, 0, 0], [0, 0, 0, 56, 0, 0, 0, 0], [0, 0, 0, 0, -27, 0, 0, 0], [0, 0, 0, 0, 0, 8, 0, 0], [0, 0, 0, 0, 0, 0, -12, 0], [0, 0, 0, 0, 0, 0, 0, 2], [0, 0, 0, 0, 0, -9, 0, 0], [0, 0, 26, 0, 0, 0, 0, 0], [0, -4, 0, 0, 0, 0, 0, 0], [-63, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 20, 0], [0, 0, 0, -71, 0, 0, 0, 0], [0, 0, 0, 0, -38, 0, 0, 0], [0, 0, 0, 0, 0, -1, 0, 0], [58, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, -21, 0], [0, -4, 0, 0, 0, 0, 0, 0], [0, -31, 0, 0, 0, 0, 0, 0], [0, 0, -12, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 17, 0], [0, 0, 0, 26, 0, 0, 0, 0], [0, 0, 0, 0, 22, 0, 0, 0], [0, 29, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 15, 0, 0], [0, 0, 0, -54, 0, 0, 0, 0], [42, 0, 0, 0, 0, 0, 0, 0], [0, 0, -27, 0, 0, 0, 0, 0], [0, 0, 0, 0, 12, 0, 0, 0], [-22, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 3, 0], [0, 0, 0, 0, 23, 0, 0, 0], [0, 0, 0, 0, 0, -2, 0, 0], [0, 44, 0, 0, 0, 0, 0, 0], [0, 0, -24, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 31, 0], [0, 0, 0, 16, 0, 0, 0, 0], [-38, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -19], [0, 0, -28, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 2], [0, 0, 0, 0, 0, 0, 32, 0], [8, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, -3, 0], [0, 0, 0, 0, 0, 0, 0, 8], [0, 0, 0, 0, 28, 0, 0, 0], [0, 6, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 4, 0, 0], [0, 0, 0, -6, 0, 0, 0, 0], [-12, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 20, 0], [0, 0, 0, 0, 3, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -7], [0, 0, 0, 0, 12, 0, 0, 0], [0, 0, 0, 6, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -20], [0, 0, 0, 0, 42, 0, 0, 0], [0, 0, 0, 0, 0, 6, 0, 0], [0, 0, 0, 0, 0, 0, -9, 0], [0, 0, 0, 0, -47, 0, 0, 0], [0, -4, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0]], 'char_orbit_index': 14, 'field_poly': [16, 0, 0, 0, -7, 0, 0, 0, 1], 'hecke_orbit_code': 94576485561534016, 'hecke_ring_character_values': [[1151, [-1, 0, 0, 0, 0, 0, 0, 0]], [901, [1, 0, 0, 0, 0, 0, 0, 0]], [577, [0, 0, 0, 1, 0, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 8, 2, 4, 2, 4, 8, 1], 'hecke_ring_inverse_denominators': [1, 2, 2, 2, 2, 2, 2, 2], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, -1, 0, 0, 0], [0, 0, 0, 1, 0, 1, 0, 0], [0, 3, 0, 0, 0, 0, 1, 0], [7, 0, 0, 0, 0, 0, 0, 1], [0, 0, 5, 0, -1, 0, 0, 0], [0, 0, 0, 11, 0, 3, 0, 0], [0, 13, 0, 0, 0, 0, -1, 0]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 0, 1], [0, -1, 0, 0, 0, 1, 0, 0], [0, 0, -3, 0, 0, 0, 1, 0], [0, -5, 0, 0, 0, 1, 0, 0], [0, 0, 11, 0, 0, 0, -1, 0], [0, 0, 0, 13, 0, 0, 0, -3], [-7, 0, 0, 0, 2, 0, 0, 0]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 8, 'label': '1600.2.n.v', 'level': 1600, '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': 6400, 'analytic_conductor': 12.776064323404862, 'char_conductor': 20, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 14, 'char_orbit_label': 'n', 'char_order': 4, 'char_parity': 1, 'char_values': [1600, 4, [1151, 901, 577], [2, 4, 3]], 'conrey_index': 1343, 'cusp_dim': 408, 'dim': 68, 'eis_dim': 144, 'eis_new_dim': 8, 'hecke_cutter_primes': [3, 7, 11, 13], 'hecke_orbit_code': 893386753600, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 8, 8], 'label': '1600.2.n', 'level': 1600, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'mf_dim': 552, 'mf_new_dim': 76, 'num_forms': 22, 'prim_orbit_index': 5, 'relative_dim': 34, 'sturm_bound': 480, 'trace_bound': 21, 'trace_display': [0, 0, 0, 0], 'traces': [68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 12, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, -4, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 16, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 72, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 28, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 20, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, -4, 0, 0, 0, -248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, -116, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, -16, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, -52, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, -56, 0, 0, 0, 328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 192, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, -36, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 60, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, -64, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, -228, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -116, 0, 0, 0, 108, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -200, 0, 0, 0, -140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 220, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 48, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 48, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, -20, 0, 0, 0, -440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, -284, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, -216, 0, 0, 0, -376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -120, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, -48, 0, 0, 0, 456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 300, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 312, 0, 0, 0, 60, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 76, 0, 0, 0, 224, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 60, 0, 0, 0, -704, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, -228, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -164, 0, 0, 0, 148, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, -84, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 136, 0, 0, 0, 296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 384, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 268, 0, 0, 0, -104, 0, 0, 0, 896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, 220, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 0, 104, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, -388, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -328, 0, 0, 0, 16, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, -128, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, -68, 0, 0, 0, 1008, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -228, 0, 0, 0, 332, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, -8, 0, 0, 0, 392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 248, 0, 0, 0, 104, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, -164, 0, 0, 0, -632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 0, -288, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 156, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, -148, 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: 770679
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 5, 'target_dim': 8, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '100.2.e.d', 'target_level': 100, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 770680
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 5, 'target_dim': 8, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '100.2.e.d', 'target_level': 100, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 770681
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 5, 'target_dim': 8, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '100.2.e.d', 'target_level': 100, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '40.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 770682
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 5, 'target_dim': 8, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '100.2.e.d', 'target_level': 100, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '40.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 770683
    {'conductor': 40, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 5, 'target_dim': 8, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '100.2.e.d', 'target_level': 100, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '40.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 770684
    {'conductor': 40, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 5, 'target_dim': 8, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '100.2.e.d', 'target_level': 100, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '40.k', 'twisting_char_orbit': 11, 'weight': 2}
  • id: 770685
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 11, 'target_dim': 8, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '900.2.k.j', 'target_level': 900, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 770686
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 11, 'target_dim': 8, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '900.2.k.j', 'target_level': 900, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 770687
    {'conductor': 120, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 11, 'target_dim': 8, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '900.2.k.j', 'target_level': 900, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '120.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 770688
    {'conductor': 120, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 11, 'target_dim': 8, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '900.2.k.j', 'target_level': 900, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '120.m', 'twisting_char_orbit': 13, 'weight': 2}
  • id: 770689
    {'conductor': 120, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 11, 'target_dim': 8, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '900.2.k.j', 'target_level': 900, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '120.q', 'twisting_char_orbit': 17, 'weight': 2}
  • id: 770690
    {'conductor': 120, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 11, 'target_dim': 8, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '900.2.k.j', 'target_level': 900, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '120.w', 'twisting_char_orbit': 23, 'weight': 2}
  • id: 770691
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 14, 'target_dim': 8, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '1600.2.n.v', 'target_level': 1600, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 770692
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 14, 'target_dim': 8, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '1600.2.n.v', 'target_level': 1600, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 770693
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 14, 'target_dim': 8, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '1600.2.n.v', 'target_level': 1600, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 770694
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 14, 'target_dim': 8, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '1600.2.n.v', 'target_level': 1600, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 770695
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 14, 'target_dim': 8, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '1600.2.n.v', 'target_level': 1600, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 770696
    {'conductor': 20, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 8, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1600.2.n.v', 'source_level': 1600, 'target_char_orbit': 14, 'target_dim': 8, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '1600.2.n.v', 'target_level': 1600, 'twist_class_label': '100.2.e.d', 'twist_class_level': 100, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2069900
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 94576485561534016, 'p': 2}
  • id: 2069901
    {'charpoly_factorization': [[[25, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 94576485561534016, 'p': 3}
  • id: 2069902
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 94576485561534016, 'p': 5}
  • id: 2069903
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 94576485561534016, 'p': 7}
  • id: 2069904
    {'charpoly_factorization': [[[15, 0, 1], 4]], 'hecke_orbit_code': 94576485561534016, 'p': 11}
  • id: 2069905
    {'charpoly_factorization': [[[144, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 94576485561534016, 'p': 13}
  • id: 2069906
    {'charpoly_factorization': [[[9, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 94576485561534016, 'p': 17}
  • id: 2069907
    {'charpoly_factorization': [[[-15, 0, 1], 4]], 'hecke_orbit_code': 94576485561534016, 'p': 19}
  • id: 2069908
    {'charpoly_factorization': [[[400, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 94576485561534016, 'p': 23}
  • id: 2069909
    {'charpoly_factorization': [[[36, 0, 1], 4]], 'hecke_orbit_code': 94576485561534016, 'p': 29}
  • id: 2069910
    {'charpoly_factorization': [[[60, 0, 1], 4]], 'hecke_orbit_code': 94576485561534016, 'p': 31}
  • id: 2069911
    {'charpoly_factorization': [[[2304, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 94576485561534016, 'p': 37}
  • id: 2069912
    {'charpoly_factorization': [[[3, 1], 8]], 'hecke_orbit_code': 94576485561534016, 'p': 41}
  • id: 2069913
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 94576485561534016, 'p': 43}
  • id: 2069914
    {'charpoly_factorization': [[[400, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 94576485561534016, 'p': 47}
  • id: 2069915
    {'charpoly_factorization': [[[144, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 94576485561534016, 'p': 53}
  • id: 2069916
    {'charpoly_factorization': [[[-60, 0, 1], 4]], 'hecke_orbit_code': 94576485561534016, 'p': 59}
  • id: 2069917
    {'charpoly_factorization': [[[-8, 1], 8]], 'hecke_orbit_code': 94576485561534016, 'p': 61}
  • id: 2069918
    {'charpoly_factorization': [[[2025, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 94576485561534016, 'p': 67}
  • id: 2069919
    {'charpoly_factorization': [[[60, 0, 1], 4]], 'hecke_orbit_code': 94576485561534016, 'p': 71}
  • id: 2069920
    {'charpoly_factorization': [[[729, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 94576485561534016, 'p': 73}
  • id: 2069921
    {'charpoly_factorization': [[[-240, 0, 1], 4]], 'hecke_orbit_code': 94576485561534016, 'p': 79}
  • id: 2069922
    {'charpoly_factorization': [[[25, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 94576485561534016, 'p': 83}
  • id: 2069923
    {'charpoly_factorization': [[[81, 0, 1], 4]], 'hecke_orbit_code': 94576485561534016, 'p': 89}
  • id: 2069924
    {'charpoly_factorization': [[[2304, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 94576485561534016, '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': 14, 'hecke_orbit': 22, 'label': '1600.2.n.v', 'level': 1600, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 65315515
    {'hecke_orbit_code': 94576485561534016, 'n': 1, 'trace_an': 8}
  • id: 65315516
    {'hecke_orbit_code': 94576485561534016, 'n': 2, 'trace_an': 0}
  • id: 65315517
    {'hecke_orbit_code': 94576485561534016, 'n': 3, 'trace_an': 0}
  • id: 65315518
    {'hecke_orbit_code': 94576485561534016, 'n': 4, 'trace_an': 0}
  • id: 65315519
    {'hecke_orbit_code': 94576485561534016, 'n': 5, 'trace_an': 0}
  • id: 65315520
    {'hecke_orbit_code': 94576485561534016, 'n': 6, 'trace_an': 0}
  • id: 65315521
    {'hecke_orbit_code': 94576485561534016, 'n': 7, 'trace_an': 0}
  • id: 65315522
    {'hecke_orbit_code': 94576485561534016, 'n': 8, 'trace_an': 0}
  • id: 65315523
    {'hecke_orbit_code': 94576485561534016, 'n': 9, 'trace_an': 0}
  • id: 65315524
    {'hecke_orbit_code': 94576485561534016, 'n': 10, 'trace_an': 0}
  • id: 65315525
    {'hecke_orbit_code': 94576485561534016, 'n': 11, 'trace_an': 0}
  • id: 65315526
    {'hecke_orbit_code': 94576485561534016, 'n': 12, 'trace_an': 0}
  • id: 65315527
    {'hecke_orbit_code': 94576485561534016, 'n': 13, 'trace_an': 0}
  • id: 65315528
    {'hecke_orbit_code': 94576485561534016, 'n': 14, 'trace_an': 0}
  • id: 65315529
    {'hecke_orbit_code': 94576485561534016, 'n': 15, 'trace_an': 0}
  • id: 65315530
    {'hecke_orbit_code': 94576485561534016, 'n': 16, 'trace_an': 0}
  • id: 65315531
    {'hecke_orbit_code': 94576485561534016, 'n': 17, 'trace_an': 0}
  • id: 65315532
    {'hecke_orbit_code': 94576485561534016, 'n': 18, 'trace_an': 0}
  • id: 65315533
    {'hecke_orbit_code': 94576485561534016, 'n': 19, 'trace_an': 0}
  • id: 65315534
    {'hecke_orbit_code': 94576485561534016, 'n': 20, 'trace_an': 0}
  • id: 65315535
    {'hecke_orbit_code': 94576485561534016, 'n': 21, 'trace_an': 0}
  • id: 65315536
    {'hecke_orbit_code': 94576485561534016, 'n': 22, 'trace_an': 0}
  • id: 65315537
    {'hecke_orbit_code': 94576485561534016, 'n': 23, 'trace_an': 0}
  • id: 65315538
    {'hecke_orbit_code': 94576485561534016, 'n': 24, 'trace_an': 0}
  • id: 65315539
    {'hecke_orbit_code': 94576485561534016, 'n': 25, 'trace_an': 0}
  • id: 65315540
    {'hecke_orbit_code': 94576485561534016, 'n': 26, 'trace_an': 0}
  • id: 65315541
    {'hecke_orbit_code': 94576485561534016, 'n': 27, 'trace_an': 0}
  • id: 65315542
    {'hecke_orbit_code': 94576485561534016, 'n': 28, 'trace_an': 0}
  • id: 65315543
    {'hecke_orbit_code': 94576485561534016, 'n': 29, 'trace_an': 0}
  • id: 65315544
    {'hecke_orbit_code': 94576485561534016, 'n': 30, 'trace_an': 0}
  • id: 65315545
    {'hecke_orbit_code': 94576485561534016, 'n': 31, 'trace_an': 0}
  • id: 65315546
    {'hecke_orbit_code': 94576485561534016, 'n': 32, 'trace_an': 0}
  • id: 65315547
    {'hecke_orbit_code': 94576485561534016, 'n': 33, 'trace_an': 0}
  • id: 65315548
    {'hecke_orbit_code': 94576485561534016, 'n': 34, 'trace_an': 0}
  • id: 65315549
    {'hecke_orbit_code': 94576485561534016, 'n': 35, 'trace_an': 0}
  • id: 65315550
    {'hecke_orbit_code': 94576485561534016, 'n': 36, 'trace_an': 0}
  • id: 65315551
    {'hecke_orbit_code': 94576485561534016, 'n': 37, 'trace_an': 0}
  • id: 65315552
    {'hecke_orbit_code': 94576485561534016, 'n': 38, 'trace_an': 0}
  • id: 65315553
    {'hecke_orbit_code': 94576485561534016, 'n': 39, 'trace_an': 0}
  • id: 65315554
    {'hecke_orbit_code': 94576485561534016, 'n': 40, 'trace_an': 0}
  • id: 65315555
    {'hecke_orbit_code': 94576485561534016, 'n': 41, 'trace_an': -24}
  • id: 65315556
    {'hecke_orbit_code': 94576485561534016, 'n': 42, 'trace_an': 0}
  • id: 65315557
    {'hecke_orbit_code': 94576485561534016, 'n': 43, 'trace_an': 0}
  • id: 65315558
    {'hecke_orbit_code': 94576485561534016, 'n': 44, 'trace_an': 0}
  • id: 65315559
    {'hecke_orbit_code': 94576485561534016, 'n': 45, 'trace_an': 0}
  • id: 65315560
    {'hecke_orbit_code': 94576485561534016, 'n': 46, 'trace_an': 0}
  • id: 65315561
    {'hecke_orbit_code': 94576485561534016, 'n': 47, 'trace_an': 0}
  • id: 65315562
    {'hecke_orbit_code': 94576485561534016, 'n': 48, 'trace_an': 0}
  • id: 65315563
    {'hecke_orbit_code': 94576485561534016, 'n': 49, 'trace_an': 0}
  • id: 65315564
    {'hecke_orbit_code': 94576485561534016, 'n': 50, 'trace_an': 0}
  • id: 65315565
    {'hecke_orbit_code': 94576485561534016, 'n': 51, 'trace_an': 0}
  • id: 65315566
    {'hecke_orbit_code': 94576485561534016, 'n': 52, 'trace_an': 0}
  • id: 65315567
    {'hecke_orbit_code': 94576485561534016, 'n': 53, 'trace_an': 0}
  • id: 65315568
    {'hecke_orbit_code': 94576485561534016, 'n': 54, 'trace_an': 0}
  • id: 65315569
    {'hecke_orbit_code': 94576485561534016, 'n': 55, 'trace_an': 0}
  • id: 65315570
    {'hecke_orbit_code': 94576485561534016, 'n': 56, 'trace_an': 0}
  • id: 65315571
    {'hecke_orbit_code': 94576485561534016, 'n': 57, 'trace_an': 0}
  • id: 65315572
    {'hecke_orbit_code': 94576485561534016, 'n': 58, 'trace_an': 0}
  • id: 65315573
    {'hecke_orbit_code': 94576485561534016, 'n': 59, 'trace_an': 0}
  • id: 65315574
    {'hecke_orbit_code': 94576485561534016, 'n': 60, 'trace_an': 0}
  • id: 65315575
    {'hecke_orbit_code': 94576485561534016, 'n': 61, 'trace_an': 64}
  • id: 65315576
    {'hecke_orbit_code': 94576485561534016, 'n': 62, 'trace_an': 0}
  • id: 65315577
    {'hecke_orbit_code': 94576485561534016, 'n': 63, 'trace_an': 0}
  • id: 65315578
    {'hecke_orbit_code': 94576485561534016, 'n': 64, 'trace_an': 0}
  • id: 65315579
    {'hecke_orbit_code': 94576485561534016, 'n': 65, 'trace_an': 0}
  • id: 65315580
    {'hecke_orbit_code': 94576485561534016, 'n': 66, 'trace_an': 0}
  • id: 65315581
    {'hecke_orbit_code': 94576485561534016, 'n': 67, 'trace_an': 0}
  • id: 65315582
    {'hecke_orbit_code': 94576485561534016, 'n': 68, 'trace_an': 0}
  • id: 65315583
    {'hecke_orbit_code': 94576485561534016, 'n': 69, 'trace_an': 0}
  • id: 65315584
    {'hecke_orbit_code': 94576485561534016, 'n': 70, 'trace_an': 0}
  • id: 65315585
    {'hecke_orbit_code': 94576485561534016, 'n': 71, 'trace_an': 0}
  • id: 65315586
    {'hecke_orbit_code': 94576485561534016, 'n': 72, 'trace_an': 0}
  • id: 65315587
    {'hecke_orbit_code': 94576485561534016, 'n': 73, 'trace_an': 0}
  • id: 65315588
    {'hecke_orbit_code': 94576485561534016, 'n': 74, 'trace_an': 0}
  • id: 65315589
    {'hecke_orbit_code': 94576485561534016, 'n': 75, 'trace_an': 0}
  • id: 65315590
    {'hecke_orbit_code': 94576485561534016, 'n': 76, 'trace_an': 0}
  • id: 65315591
    {'hecke_orbit_code': 94576485561534016, 'n': 77, 'trace_an': 0}
  • id: 65315592
    {'hecke_orbit_code': 94576485561534016, 'n': 78, 'trace_an': 0}
  • id: 65315593
    {'hecke_orbit_code': 94576485561534016, 'n': 79, 'trace_an': 0}
  • id: 65315594
    {'hecke_orbit_code': 94576485561534016, 'n': 80, 'trace_an': 0}
  • id: 65315595
    {'hecke_orbit_code': 94576485561534016, 'n': 81, 'trace_an': 88}
  • id: 65315596
    {'hecke_orbit_code': 94576485561534016, 'n': 82, 'trace_an': 0}
  • id: 65315597
    {'hecke_orbit_code': 94576485561534016, 'n': 83, 'trace_an': 0}
  • id: 65315598
    {'hecke_orbit_code': 94576485561534016, 'n': 84, 'trace_an': 0}
  • id: 65315599
    {'hecke_orbit_code': 94576485561534016, 'n': 85, 'trace_an': 0}
  • id: 65315600
    {'hecke_orbit_code': 94576485561534016, 'n': 86, 'trace_an': 0}
  • id: 65315601
    {'hecke_orbit_code': 94576485561534016, 'n': 87, 'trace_an': 0}
  • id: 65315602
    {'hecke_orbit_code': 94576485561534016, 'n': 88, 'trace_an': 0}
  • id: 65315603
    {'hecke_orbit_code': 94576485561534016, 'n': 89, 'trace_an': 0}
  • id: 65315604
    {'hecke_orbit_code': 94576485561534016, 'n': 90, 'trace_an': 0}
  • id: 65315605
    {'hecke_orbit_code': 94576485561534016, 'n': 91, 'trace_an': 0}
  • id: 65315606
    {'hecke_orbit_code': 94576485561534016, 'n': 92, 'trace_an': 0}
  • id: 65315607
    {'hecke_orbit_code': 94576485561534016, 'n': 93, 'trace_an': 0}
  • id: 65315608
    {'hecke_orbit_code': 94576485561534016, 'n': 94, 'trace_an': 0}
  • id: 65315609
    {'hecke_orbit_code': 94576485561534016, 'n': 95, 'trace_an': 0}
  • id: 65315610
    {'hecke_orbit_code': 94576485561534016, 'n': 96, 'trace_an': 0}
  • id: 65315611
    {'hecke_orbit_code': 94576485561534016, 'n': 97, 'trace_an': 0}
  • id: 65315612
    {'hecke_orbit_code': 94576485561534016, 'n': 98, 'trace_an': 0}
  • id: 65315613
    {'hecke_orbit_code': 94576485561534016, 'n': 99, 'trace_an': 0}
  • id: 65315614
    {'hecke_orbit_code': 94576485561534016, 'n': 100, 'trace_an': 0}