Newform data - 3332.1.bp.b

Formats: - HTML - YAML - JSON - 2025-04-04T20:56:04.097211

• 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': 3332, 'analytic_conductor': 1.662884622093164, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 476, 'char_degree': 8, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 42, 'char_orbit_label': 'bp', 'char_order': 24, 'char_parity': -1, 'char_values': [3332, 24, [1667, 885, 785], [12, 16, 15]], 'cm_discs': [-4], 'conrey_index': 263, 'dim': 8, 'field_disc': 5308416, 'field_disc_factorization': [[2, 16], [3, 4]], 'field_poly': [1, 0, 0, 0, -1, 0, 0, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 24, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [4, -8, 12, -8, 2, 8, -2, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4506417142697220, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, -4], [1, 1, 7, 3, 1, 3, 0], [1, 1, 17, 4, 1, 8, 0], [1, 1, 28, 7, -1, 6, 0], [1, 1, 68, 7, -1, 8, 0], [1, 1, 119, 17, 1, 24, 0], [1, 1, 476, 33, -1, 24, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '3332.1.bp.b', 'level': 3332, '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, 7, 17], 'level_radical': 238, 'minimal_twist': '3332.1.w.b', 'nf_label': '8.0.5308416.1', 'prim_orbit_index': 33, 'projective_field': [-3332, 0, 0, 0, 595, 0, 0, 0, 1], 'projective_field_label': '8.2.3089659810545728.4', 'projective_image': 'D8', 'projective_image_type': 'Dn', 'qexp_display': 'q-\\zeta_{24}^{7}q^{2}-\\zeta_{24}^{2}q^{4}+(-\\zeta_{24}^{7}-\\zeta_{24}^{10}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'self_twist_discs': [-4], 'self_twist_type': 1, 'space_label': '3332.1.bp', 'trace_display': [0, 0, 0, 0], 'trace_hash': 781797576241926630, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.086', 'prec': 17}, {'__RealLiteral__': 0, 'data': '8.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.214', 'prec': 17}, {'__RealLiteral__': 0, 'data': '704.747', 'prec': 24}, {'__RealLiteral__': 0, 'data': '2083.860', 'prec': 27}, {'__RealLiteral__': 0, 'data': '117038.817', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.801', 'prec': 17}, 'traces': [8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, -4, 0, -8, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 4, -8, 0, 0, 0, -4, 0, 0, 0, 0, -8, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 4, 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, 0, 0, 0, 0, 0, 0, 4, 8, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 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• mf_hecke_nf •

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

  
  {'an': [[[1, 0]], [[-1, 7]], [], [[-1, 2]], [[-1, 7], [-1, 10]], [], [], [[1, 9]], [[-1, 1]], [[-1, 2], [-1, 5]], [], [], [], [], [], [[1, 4]], [[1, 11]], [[1, 8]], [], [[-1, 0], [1, 9]], [], [], [], [], [[-1, 2], [-1, 5], [-1, 8]], [], [], [], [[-1, 3], [-1, 6]], [], [], [[-1, 11]], [], [[1, 6]], [], [[1, 3]], [[-1, 1], [-1, 4]], [], [], [[1, 4], [1, 7]], [[-1, 0], [1, 3]], [], [], [], [[1, 8], [1, 11]], [], [], [], [], [[-1, 0], [-1, 3], [1, 9]], [], [], [[1, 2], [-1, 8]], [], [], [], [], [[-1, 1], [1, 10]], [], [], [[1, 4], [-1, 7]], [], [], [[-1, 6]], [], [], [], [[1, 1]], [], [], [], [[-1, 10]], [[1, 2], [-1, 11]], [[1, 8], [1, 11]], [], [], [], [], [], [[1, 2], [-1, 11]], [[1, 2]], [[1, 7], [-1, 10]], [], [], [[1, 6], [1, 9]], [], [], [], [[1, 10], [1, 10]], [[1, 3], [1, 6]], [], [], [], [], [], [], [[1, 3], [1, 6]], [], [], [[1, 4], [1, 7], [1, 10]]], 'ap': [[[-1, 7]], [], [[-1, 7], [-1, 10]], [], [], [], [[1, 11]], [], [], [[-1, 3], [-1, 6]], [], [[-1, 1], [-1, 4]], [[-1, 0], [1, 3]], [], [], [[1, 2], [-1, 8]], [], [[1, 4], [-1, 7]], [], [], [[1, 2], [-1, 11]], [], [], [[1, 10], [1, 10]], [[1, 3], [1, 6]], [[-1, 8], [-1, 8]], [], [], [[-1, 8], [1, 11]], [[1, 6], [-1, 9]], [], [], [[-1, 5], [-1, 11]], [], [], [], [[1, 5], [-1, 11]], [], [], [[-1, 7], [1, 10]], [], [[1, 6], [-1, 9]], [], [[1, 8], [1, 11]], [[-1, 0], [1, 3]], [], [], [], [], [[1, 4], [-1, 10]], [[1, 1], [-1, 4]], [], [[1, 5], [1, 8]], [], [[-1, 4], [-1, 10]], [], [[-1, 5], [-1, 8]], [], [[1, 5], [-1, 8]], [[-1, 0], [1, 6]], [], [[-1, 3], [-1, 9]], [], [], [[-1, 4], [1, 7]], [[-1, 4], [-1, 7]], [], [[1, 3], [-1, 6]], [], [[1, 9], [1, 9]], [[1, 5], [-1, 11]], [], [], [[1, 1], [1, 7]], [], [], [], [[-1, 1], [-1, 10]], [[-1, 1], [1, 10]], [[-1, 5], [-1, 11]], [], [[-1, 3], [-1, 9]], [], [[1, 0], [-1, 6]], [], [], [[-1, 6], [-1, 9]], [], [[1, 3], [1, 3]], [], [], [], [], [], [], [], [[1, 1], [1, 7]], [[1, 2], [-1, 5]], [], [[-1, 7], [1, 10]], [], [[1, 5], [-1, 11]], [], [[1, 4], [-1, 10]], [], [], [], [[1, 7], [1, 7]], [], [[-1, 6], [1, 9]], [], [], [[-1, 0], [-1, 9]], [], [], [[-1, 5], [1, 8]], [], [], [[1, 1], [-1, 10]], [], [], [[-1, 0], [1, 3]], [[1, 1], [1, 4]], [], [], [[1, 3], [1, 9]], [[1, 7], [1, 10]], [], [], [[1, 7], [1, 7]], [], [], [], [[1, 9], [1, 9]], [], [[1, 6], [1, 6]], [[-1, 2], [-1, 8]], [], [], [[-1, 2], [-1, 5]], [], [[-1, 1], [1, 4]], [], [], [[-1, 5], [1, 11]], [], [[1, 0], [-1, 9]], [[-1, 2], [-1, 5]], [], [], [[1, 4], [-1, 7]], [[-1, 3], [1, 6]], [], [], [], [], [], [[-1, 1], [-1, 10]], [], [[-1, 2], [1, 5]], [], [[1, 3], [-1, 9]], [], [], [[1, 2], [1, 8]], [], [], [[-1, 2], [1, 5]], [[-1, 6], [1, 9]], [[-1, 1], [1, 10]], [], [[-1, 0], [-1, 0]], [], [[1, 5], [-1, 11]], [], [[-1, 0], [-1, 9]], [], [[1, 8], [-1, 11]], [], [[1, 4], [1, 10]], [], [], [[-1, 0], [-1, 9]], [], [], [], [[1, 2], [-1, 11]], [], [[1, 4], [-1, 7]], [], [[-1, 7], [1, 10]], [], [], [[1, 4], [-1, 10]], [], [[-1, 2], [-1, 11]], [[-1, 8], [-1, 11]], [[1, 1], [1, 10]], [[-1, 0], [1, 3]], [], [[-1, 2], [1, 11]], [], [[-1, 1], [1, 7]], [[1, 2], [1, 8]], [], [[1, 2], [-1, 8]], [], [], [[-1, 0], [1, 9]], [], [[-1, 1], [1, 4]], [[-1, 0], [1, 6]], [], [], [], [[1, 1], [-1, 4]], [], [[1, 5], [1, 11]], [], [[-1, 3], [-1, 9]], [], [], [[-1, 4], [-1, 10]], [], [], [[-1, 3], [1, 9]], [[-1, 7], [-1, 10]], [], [], [], [[1, 2], [1, 8]], [], [], [], [], [], [[1, 1], [-1, 10]], [[1, 7], [-1, 10]], [], [], [], [], [], [], [[-1, 0], [-1, 3]], [], [], [], [], [], [[1, 0], [1, 0]], [[1, 1], [1, 4]], [], [[-1, 6], [1, 9]], [[1, 2], [-1, 8]], [], [[1, 2], [-1, 5]], [], [[1, 3], [1, 6]], [[1, 4], [-1, 10]], [], [], [[1, 2], [1, 11]], [[1, 0], [-1, 3]], [[1, 5], [1, 8]], [], [[1, 0], [-1, 6]], [[-1, 3], [-1, 9]], [], [], [[-1, 1], [1, 10]], [], [[1, 11], [1, 11]], [], [], [], [], [[1, 5], [-1, 11]], [[-1, 1], [-1, 7]], [], [], [], [], [], [], [], [[1, 2], [1, 11]], [[1, 6], [1, 9]], [], [[-1, 0], [-1, 6]], [[-1, 5], [-1, 8]], [], [[1, 1], [1, 1]], [], [[1, 3], [1, 6]], [[1, 8], [1, 11]], [], [[1, 0], [1, 0]], [], [], [[1, 10], [1, 10]], [], []], 'char_orbit_index': 42, 'field_poly': [1, 0, 0, 0, -1, 0, 0, 0, 1], 'hecke_orbit_code': 4506417142697220, 'hecke_ring_character_values': [[1667, [[-1, 0]]], [885, [[-1, 4]]], [785, [[-1, 9]]]], 'hecke_ring_cyclotomic_generator': 24, 'hecke_ring_power_basis': False, 'hecke_ring_rank': 8, 'label': '3332.1.bp.b', 'level': 3332, 'maxp': 1999, 'weight': 1}
• mf_newspaces •

  Column	Type
  ALdims	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': 3332, 'a4_dim': 0, 'a5_dim': 0, 'analytic_conductor': 1.662884622093164, 'char_conductor': 476, 'char_degree': 8, 'char_is_real': False, 'char_orbit_index': 42, 'char_orbit_label': 'bp', 'char_order': 24, 'char_parity': -1, 'char_values': [3332, 24, [1667, 885, 785], [12, 16, 15]], 'conrey_index': 263, 'cusp_dim': 32, 'dihedral_dim': 32, 'dim': 32, 'eis_dim': 128, 'eis_new_dim': 64, 'hecke_orbit_code': 2817515326724, 'hecke_orbit_dims': [8, 8, 8, 8], 'label': '3332.1.bp', 'level': 3332, '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, 7, 17], 'level_radical': 238, 'mf_dim': 160, 'mf_new_dim': 96, 'num_forms': 4, 'prim_orbit_index': 33, 'relative_dim': 4, 's4_dim': 0, 'sturm_bound': 504, 'trace_bound': 20, 'trace_display': [0, 0, 0, 0], 'traces': [32, 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, 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, 0, -16, 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, 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, -32, 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, -32, 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, 32, 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, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 16, 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, -16, 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, 32, 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, 16, 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, 16, 0, 16, 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, 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, 32, 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, 16, 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, 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, 32, 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, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, -32, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 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, 16, 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, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 16, 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, 16, 0, 0, 0, 0, 0, 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, 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, 0, 0, 0], 'weight': 1, '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: 1084363
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 23, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '3332.1.w.b', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '7.c', 'twisting_char_orbit': 3, 'weight': 1}
  • id: 1084364
    {'conductor': 28, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 23, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '3332.1.w.b', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '28.g', 'twisting_char_orbit': 7, 'weight': 1}
  • id: 1084365
    {'conductor': 119, 'degree': 8, 'multiplicity': 1, 'order': 24, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 23, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '3332.1.w.b', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '119.q', 'twisting_char_orbit': 17, 'weight': 1}
  • id: 1084366
    {'conductor': 476, 'degree': 8, 'multiplicity': 1, 'order': 24, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 23, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '3332.1.w.b', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '476.bg', 'twisting_char_orbit': 33, 'weight': 1}
  • id: 1084367
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 23, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '3332.1.w.c', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '7.d', 'twisting_char_orbit': 4, 'weight': 1}
  • id: 1084368
    {'conductor': 28, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 23, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '3332.1.w.c', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '28.f', 'twisting_char_orbit': 6, 'weight': 1}
  • id: 1084369
    {'conductor': 119, 'degree': 8, 'multiplicity': 1, 'order': 24, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 23, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '3332.1.w.c', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '119.r', 'twisting_char_orbit': 18, 'weight': 1}
  • id: 1084370
    {'conductor': 476, 'degree': 8, 'multiplicity': 1, 'order': 24, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 23, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '3332.1.w.c', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '476.bj', 'twisting_char_orbit': 36, 'weight': 1}
  • id: 1084371
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 42, 'target_dim': 8, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '3332.1.bp.b', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 1}
  • id: 1084372
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -4, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 42, 'target_dim': 8, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '3332.1.bp.b', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 1084373
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 42, 'target_dim': 8, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '3332.1.bp.b', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '7.c', 'twisting_char_orbit': 3, 'weight': 1}
  • id: 1084374
    {'conductor': 17, 'degree': 4, 'multiplicity': 1, 'order': 8, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 42, 'target_dim': 8, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '3332.1.bp.b', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '17.d', 'twisting_char_orbit': 4, 'weight': 1}
  • id: 1084375
    {'conductor': 28, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 42, 'target_dim': 8, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '3332.1.bp.b', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '28.g', 'twisting_char_orbit': 7, 'weight': 1}
  • id: 1084376
    {'conductor': 68, 'degree': 4, 'multiplicity': 1, 'order': 8, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 42, 'target_dim': 8, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '3332.1.bp.b', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '68.g', 'twisting_char_orbit': 7, 'weight': 1}
  • id: 1084377
    {'conductor': 119, 'degree': 8, 'multiplicity': 1, 'order': 24, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 42, 'target_dim': 8, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '3332.1.bp.b', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '119.q', 'twisting_char_orbit': 17, 'weight': 1}
  • id: 1084378
    {'conductor': 476, 'degree': 8, 'multiplicity': 1, 'order': 24, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 42, 'target_dim': 8, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '3332.1.bp.b', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '476.bg', 'twisting_char_orbit': 33, 'weight': 1}
  • id: 1084379
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 42, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '3332.1.bp.c', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 1084380
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 42, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '3332.1.bp.c', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '7.d', 'twisting_char_orbit': 4, 'weight': 1}
  • id: 1084381
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 42, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '3332.1.bp.c', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 1}
  • id: 1084382
    {'conductor': 28, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 42, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '3332.1.bp.c', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '28.f', 'twisting_char_orbit': 6, 'weight': 1}
  • id: 1084383
    {'conductor': 119, 'degree': 4, 'multiplicity': 1, 'order': 8, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 42, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '3332.1.bp.c', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '119.l', 'twisting_char_orbit': 12, 'weight': 1}
  • id: 1084384
    {'conductor': 119, 'degree': 8, 'multiplicity': 1, 'order': 24, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 42, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '3332.1.bp.c', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '119.r', 'twisting_char_orbit': 18, 'weight': 1}
  • id: 1084385
    {'conductor': 476, 'degree': 4, 'multiplicity': 1, 'order': 8, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 42, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '3332.1.bp.c', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '476.w', 'twisting_char_orbit': 23, 'weight': 1}
  • id: 1084386
    {'conductor': 476, 'degree': 8, 'multiplicity': 1, 'order': 24, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 42, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '3332.1.bp.b', 'source_level': 3332, 'target_char_orbit': 42, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '3332.1.bp.c', 'target_level': 3332, 'twist_class_label': '3332.1.w.b', 'twist_class_level': 3332, 'twisting_char_label': '476.bj', 'twisting_char_orbit': 36, 'weight': 1}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3127875
    {'charpoly_factorization': [[[1, 0, 0, 0, -1, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4506417142697220, 'p': 2}
  • id: 3127876
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4506417142697220, 'p': 3}
  • id: 3127877
    {'charpoly_factorization': [[[4, -8, 12, -8, 2, 8, -2, 0, 1], 1]], 'hecke_orbit_code': 4506417142697220, 'p': 5}
  • id: 3127878
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4506417142697220, 'p': 7}
  • id: 3127879
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4506417142697220, 'p': 11}
  • id: 3127880
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4506417142697220, 'p': 13}
  • id: 3127881
    {'charpoly_factorization': [[[1, 0, 0, 0, -1, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4506417142697220, 'p': 17}
  • id: 3127882
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4506417142697220, 'p': 19}
  • id: 3127883
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4506417142697220, 'p': 23}
  • id: 3127884
    {'charpoly_factorization': [[[2, -4, 2, 0, 1], 2]], 'hecke_orbit_code': 4506417142697220, 'p': 29}
  • id: 3127885
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4506417142697220, 'p': 31}
  • id: 3127886
    {'charpoly_factorization': [[[4, 8, 4, 8, 18, 16, 10, 4, 1], 1]], 'hecke_orbit_code': 4506417142697220, 'p': 37}
  • id: 3127887
    {'charpoly_factorization': [[[2, 4, 6, 4, 1], 2]], 'hecke_orbit_code': 4506417142697220, 'p': 41}
  • id: 3127888
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4506417142697220, 'p': 43}
  • id: 3127889
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4506417142697220, 'p': 47}
  • id: 3127890
    {'charpoly_factorization': [[[4, -4, 2, -2, 1], 2]], 'hecke_orbit_code': 4506417142697220, 'p': 53}
  • id: 3127891
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4506417142697220, 'p': 59}
  • id: 3127892
    {'charpoly_factorization': [[[4, -8, 4, -8, 18, -16, 10, -4, 1], 1]], 'hecke_orbit_code': 4506417142697220, 'p': 61}
  • id: 3127893
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4506417142697220, 'p': 67}
  • id: 3127894
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4506417142697220, 'p': 71}
  • id: 3127895
    {'charpoly_factorization': [[[4, 8, 12, 8, 2, -8, -2, 0, 1], 1]], 'hecke_orbit_code': 4506417142697220, 'p': 73}
  • id: 3127896
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4506417142697220, 'p': 79}
  • id: 3127897
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4506417142697220, 'p': 83}
  • id: 3127898
    {'charpoly_factorization': [[[16, 0, -4, 0, 1], 2]], 'hecke_orbit_code': 4506417142697220, 'p': 89}
  • id: 3127899
    {'charpoly_factorization': [[[2, 4, 2, 0, 1], 2]], 'hecke_orbit_code': 4506417142697220, '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': 42, 'hecke_orbit': 2, 'label': '3332.1.bp.b', 'level': 3332, 'portrait': 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', 'weight': 1}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 25490893
    {'hecke_orbit_code': 4506417142697220, 'n': 1, 'trace_an': 8}
  • id: 25490894
    {'hecke_orbit_code': 4506417142697220, 'n': 2, 'trace_an': 0}
  • id: 25490895
    {'hecke_orbit_code': 4506417142697220, 'n': 3, 'trace_an': 0}
  • id: 25490896
    {'hecke_orbit_code': 4506417142697220, 'n': 4, 'trace_an': 0}
  • id: 25490897
    {'hecke_orbit_code': 4506417142697220, 'n': 5, 'trace_an': 0}
  • id: 25490898
    {'hecke_orbit_code': 4506417142697220, 'n': 6, 'trace_an': 0}
  • id: 25490899
    {'hecke_orbit_code': 4506417142697220, 'n': 7, 'trace_an': 0}
  • id: 25490900
    {'hecke_orbit_code': 4506417142697220, 'n': 8, 'trace_an': 0}
  • id: 25490901
    {'hecke_orbit_code': 4506417142697220, 'n': 9, 'trace_an': 0}
  • id: 25490902
    {'hecke_orbit_code': 4506417142697220, 'n': 10, 'trace_an': 0}
  • id: 25490903
    {'hecke_orbit_code': 4506417142697220, 'n': 11, 'trace_an': 0}
  • id: 25490904
    {'hecke_orbit_code': 4506417142697220, 'n': 12, 'trace_an': 0}
  • id: 25490905
    {'hecke_orbit_code': 4506417142697220, 'n': 13, 'trace_an': 0}
  • id: 25490906
    {'hecke_orbit_code': 4506417142697220, 'n': 14, 'trace_an': 0}
  • id: 25490907
    {'hecke_orbit_code': 4506417142697220, 'n': 15, 'trace_an': 0}
  • id: 25490908
    {'hecke_orbit_code': 4506417142697220, 'n': 16, 'trace_an': 4}
  • id: 25490909
    {'hecke_orbit_code': 4506417142697220, 'n': 17, 'trace_an': 0}
  • id: 25490910
    {'hecke_orbit_code': 4506417142697220, 'n': 18, 'trace_an': -4}
  • id: 25490911
    {'hecke_orbit_code': 4506417142697220, 'n': 19, 'trace_an': 0}
  • id: 25490912
    {'hecke_orbit_code': 4506417142697220, 'n': 20, 'trace_an': -8}
  • id: 25490913
    {'hecke_orbit_code': 4506417142697220, 'n': 21, 'trace_an': 0}
  • id: 25490914
    {'hecke_orbit_code': 4506417142697220, 'n': 22, 'trace_an': 0}
  • id: 25490915
    {'hecke_orbit_code': 4506417142697220, 'n': 23, 'trace_an': 0}
  • id: 25490916
    {'hecke_orbit_code': 4506417142697220, 'n': 24, 'trace_an': 0}
  • id: 25490917
    {'hecke_orbit_code': 4506417142697220, 'n': 25, 'trace_an': 4}
  • id: 25490918
    {'hecke_orbit_code': 4506417142697220, 'n': 26, 'trace_an': 0}
  • id: 25490919
    {'hecke_orbit_code': 4506417142697220, 'n': 27, 'trace_an': 0}
  • id: 25490920
    {'hecke_orbit_code': 4506417142697220, 'n': 28, 'trace_an': 0}
  • id: 25490921
    {'hecke_orbit_code': 4506417142697220, 'n': 29, 'trace_an': 0}
  • id: 25490922
    {'hecke_orbit_code': 4506417142697220, 'n': 30, 'trace_an': 0}
  • id: 25490923
    {'hecke_orbit_code': 4506417142697220, 'n': 31, 'trace_an': 0}
  • id: 25490924
    {'hecke_orbit_code': 4506417142697220, 'n': 32, 'trace_an': 0}
  • id: 25490925
    {'hecke_orbit_code': 4506417142697220, 'n': 33, 'trace_an': 0}
  • id: 25490926
    {'hecke_orbit_code': 4506417142697220, 'n': 34, 'trace_an': 0}
  • id: 25490927
    {'hecke_orbit_code': 4506417142697220, 'n': 35, 'trace_an': 0}
  • id: 25490928
    {'hecke_orbit_code': 4506417142697220, 'n': 36, 'trace_an': 0}
  • id: 25490929
    {'hecke_orbit_code': 4506417142697220, 'n': 37, 'trace_an': -4}
  • id: 25490930
    {'hecke_orbit_code': 4506417142697220, 'n': 38, 'trace_an': 0}
  • id: 25490931
    {'hecke_orbit_code': 4506417142697220, 'n': 39, 'trace_an': 0}
  • id: 25490932
    {'hecke_orbit_code': 4506417142697220, 'n': 40, 'trace_an': 4}
  • id: 25490933
    {'hecke_orbit_code': 4506417142697220, 'n': 41, 'trace_an': -8}
  • id: 25490934
    {'hecke_orbit_code': 4506417142697220, 'n': 42, 'trace_an': 0}
  • id: 25490935
    {'hecke_orbit_code': 4506417142697220, 'n': 43, 'trace_an': 0}
  • id: 25490936
    {'hecke_orbit_code': 4506417142697220, 'n': 44, 'trace_an': 0}
  • id: 25490937
    {'hecke_orbit_code': 4506417142697220, 'n': 45, 'trace_an': -4}
  • id: 25490938
    {'hecke_orbit_code': 4506417142697220, 'n': 46, 'trace_an': 0}
  • id: 25490939
    {'hecke_orbit_code': 4506417142697220, 'n': 47, 'trace_an': 0}
  • id: 25490940
    {'hecke_orbit_code': 4506417142697220, 'n': 48, 'trace_an': 0}
  • id: 25490941
    {'hecke_orbit_code': 4506417142697220, 'n': 49, 'trace_an': 0}
  • id: 25490942
    {'hecke_orbit_code': 4506417142697220, 'n': 50, 'trace_an': -8}
  • id: 25490943
    {'hecke_orbit_code': 4506417142697220, 'n': 51, 'trace_an': 0}
  • id: 25490944
    {'hecke_orbit_code': 4506417142697220, 'n': 52, 'trace_an': 0}
  • id: 25490945
    {'hecke_orbit_code': 4506417142697220, 'n': 53, 'trace_an': 4}
  • id: 25490946
    {'hecke_orbit_code': 4506417142697220, 'n': 54, 'trace_an': 0}
  • id: 25490947
    {'hecke_orbit_code': 4506417142697220, 'n': 55, 'trace_an': 0}
  • id: 25490948
    {'hecke_orbit_code': 4506417142697220, 'n': 56, 'trace_an': 0}
  • id: 25490949
    {'hecke_orbit_code': 4506417142697220, 'n': 57, 'trace_an': 0}
  • id: 25490950
    {'hecke_orbit_code': 4506417142697220, 'n': 58, 'trace_an': 0}
  • id: 25490951
    {'hecke_orbit_code': 4506417142697220, 'n': 59, 'trace_an': 0}
  • id: 25490952
    {'hecke_orbit_code': 4506417142697220, 'n': 60, 'trace_an': 0}
  • id: 25490953
    {'hecke_orbit_code': 4506417142697220, 'n': 61, 'trace_an': 4}
  • id: 25490954
    {'hecke_orbit_code': 4506417142697220, 'n': 62, 'trace_an': 0}
  • id: 25490955
    {'hecke_orbit_code': 4506417142697220, 'n': 63, 'trace_an': 0}
  • id: 25490956
    {'hecke_orbit_code': 4506417142697220, 'n': 64, 'trace_an': 0}
  • id: 25490957
    {'hecke_orbit_code': 4506417142697220, 'n': 65, 'trace_an': 0}
  • id: 25490958
    {'hecke_orbit_code': 4506417142697220, 'n': 66, 'trace_an': 0}
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