Embedded newform data - 2944.1.p.b.689.2

Formats: - HTML - YAML - JSON - 2026-09-22T23:22:30.883806

• 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': 2944, 'analytic_conductor': 1.4692473971915592, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 736, 'char_degree': 4, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 16, 'char_orbit_label': 'p', 'char_order': 8, 'char_parity': -1, 'char_values': [2944, 8, [1151, 645, 2305], [8, 5, 4]], 'cm_discs': [-23], 'conrey_index': 689, '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': [[3, [1, 8, 22, 20, 18, 16, 10, 4, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4504630436301696, 'hecke_ring_generator_nbound': 9, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 23, 2, -1, 2, -23], [1, 1, 32, 7, 1, 8, 0], [1, 1, 736, 16, -1, 8, 0]], 'is_cm': True, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '2944.1.p.b', 'level': 2944, '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, 23], 'level_radical': 46, 'minimal_twist': '736.1.p.b', 'nf_label': '8.0.5308416.1', 'prim_orbit_index': 16, 'projective_field': [2888, 0, -18752, 0, 32016, 0, 41472, 0, 31668, 0, 25184, 0, 19128, 0, 10000, 0, 3572, 0, 880, 0, 152, 0, 16, 0, 1], 'projective_image': 'D24', 'projective_image_type': 'Dn', 'qexp_display': 'q+(-\\zeta_{24}^{7}+\\zeta_{24}^{8})q^{3}+(-\\zeta_{24}^{2}+\\zeta_{24}^{3}+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'self_twist_discs': [-23], 'self_twist_type': 1, 'space_label': '2944.1.p', 'trace_display': [0, -4, 0, 0], 'trace_hash': 401016857956272989, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.051', 'prec': 7}, {'__RealLiteral__': 0, 'data': '7.767', 'prec': 14}, {'__RealLiteral__': 0, 'data': '3.424', 'prec': 14}, {'__RealLiteral__': 0, 'data': '587.455', 'prec': 20}, {'__RealLiteral__': 0, 'data': '222.132', 'prec': 20}, {'__RealLiteral__': 0, 'data': '84944.187', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.792', 'prec': 10}, 'traces': [8, 0, -4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 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, 4, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 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, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 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, -8, 0, 4, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 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, -4, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 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, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -4, 0, -8, 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, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, -4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, -4, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 4, 0, 0, 0, 0, 0, 4, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, -4, 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, -8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 4, 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, 4, 0, 4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 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, -8, 0, 0, 0, 8, 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, 0, 0, 0, 0, 0, 0, 8, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -8, 0, 16, 0, 0, 0, 0, 0, -12, 0, 0, 0, 4, 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, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 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, -4, 0, 0, 0, -4, 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, 8, 0, 0, 0, 8, 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, -8, 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, -4, 0, 4, 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, 0, 0, 8, 0, 0, 0, -4, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 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, -12, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, -4, 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, 8, 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, 4, 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, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, -4, 0, 8, 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, -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, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 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, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -4, 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, 4, 0, -4, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 4, 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, 4, 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, -4, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 8, 0, 0, 0, 0, 0, 4, 0, 0, 0, -4, 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, -12, 0, 0, 0, 0, 0, 4, 0, 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, 4, 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, -8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 4, 0, 0, 0, 4, 0, 0, 0, 0, 0, -8, 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, -4, 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, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 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, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 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, -8, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 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_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [-0.24118095489747923, 0.09990042250462965], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6589186225978911, 0.6589186225978911], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6072063586819179, -1.4659258262890682], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7071067811865476, -0.7071067811865476], [0.0, 0.0], [-0.7071067811865476, -0.7071067811865476], [0.0, 0.0], [0.19299279630882282, -0.4659258262890683], [0.0, 0.0], [1.831951230073507, -0.7588190451025207], [0.0, 0.0], [1.9318516525781366, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.2928932188134525, 0.2928932188134525], [0.0, 0.0], [0.7071067811865476, -0.7071067811865476], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.7320508075688772], [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], [0.7071067811865476, -1.7071067811865475], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.09990042250462965, 0.24118095489747923], [0.0, 0.0], [-0.36602540378443865, -0.36602540378443865], [0.0, 0.0], [-1.224744871391589, 1.224744871391589], [0.0, 0.0], [0.24118095489747923, 0.09990042250462965], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.8001991549907407], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.36602540378443865, 0.36602540378443865], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4659258262890683, 0.19299279630882282], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, -0.3333333333333333, -0.1875, -0.375, -0.4375, -0.4166666666666667, -0.25, -0.3125, None, -0.08333333333333333, -0.041666666666666664, -0.1875, -0.2916666666666667, -0.4375, 0.16666666666666666, -0.4375, -0.25, -0.0625, -0.0625, -0.16666666666666666, 0.2916666666666667, -0.25, -0.3125, -0.375, 0.0, -0.25, -0.375, -0.4375, -0.3125, -0.25, -0.08333333333333333, -0.4166666666666667, -0.125, -0.2916666666666667, -0.4375, -0.2916666666666667, -0.0625, -0.4583333333333333, -0.25, -0.125, -0.4166666666666667, -0.4375, 0.0, -0.16666666666666666, 0.16666666666666666, -0.375, 0.125, -0.375, -0.0625, -0.1875, -0.3333333333333333, -0.2916666666666667, -0.25, -0.1875, -0.20833333333333334, -0.375, 0.041666666666666664, 0.0, -0.20833333333333334, -0.375, -0.1875, -0.1875, 0.0, -0.4583333333333333, -0.375, -0.25, -0.041666666666666664, -0.25, 0.125, -0.3333333333333333, -0.4166666666666667, -0.375, -0.25, -0.4375, -0.1875, 0.0, -0.1875, -0.3333333333333333, -0.25, -0.08333333333333333, -0.0625, -0.1875, -0.25, -0.25, -0.3333333333333333, 0.16666666666666666, -0.125, -0.125, -0.041666666666666664, 0.25, -0.3125, 0.0, -0.08333333333333333, 0.041666666666666664, 0.16666666666666666, -0.125, -0.4583333333333333, -0.125, -0.4375, 0.4166666666666667], 'char_orbit_index': 16, 'conrey_index': 689, 'dual_conrey_index': 2897, 'dual_embedding_index': 2, 'dual_embedding_m': 8, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': -0.25881904510252074, 'embedding_root_real': 0.9659258262890683, 'hecke_orbit': 2, 'hecke_orbit_code': 4504630436301696, 'label': '2944.1.p.b.689.2', 'level': 2944, 'weight': 1}
• 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': 2944, 'a4_dim': 0, 'a5_dim': 0, 'analytic_conductor': 1.4692473971915592, 'char_conductor': 736, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 16, 'char_orbit_label': 'p', 'char_order': 8, 'char_parity': -1, 'char_values': [2944, 8, [1151, 645, 2305], [8, 5, 4]], 'conrey_index': 689, 'cusp_dim': 48, 'dihedral_dim': 12, 'dim': 12, 'eis_dim': 32, 'eis_new_dim': 8, 'hecke_orbit_code': 1030808931200, 'hecke_orbit_dims': [4, 8], 'label': '2944.1.p', 'level': 2944, '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, 23], 'level_radical': 46, 'mf_dim': 80, 'mf_new_dim': 20, 'num_forms': 2, 'prim_orbit_index': 16, 'relative_dim': 3, 's4_dim': 0, 'sturm_bound': 384, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -12, 0, 24, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0], 'weight': 1, 'weight_parity': -1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 36981000
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504630436301696, 'source_is_minimal': False, 'source_label': '2944.1.p.b.689.2', 'source_level': 2944, 'target_conrey_index': 689, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504630436301696, 'target_is_minimal': False, 'target_label': '2944.1.p.b.689.2', 'target_level': 2944, 'twist_class_label': '736.1.p.b.413.2', 'twist_class_level': 736, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 1}
  • id: 36981001
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504630436301696, 'source_is_minimal': False, 'source_label': '2944.1.p.b.689.2', 'source_level': 2944, 'target_conrey_index': 597, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504630436299488, 'target_is_minimal': True, 'target_label': '736.1.p.b.597.2', 'target_level': 736, 'twist_class_label': '736.1.p.b.413.2', 'twist_class_level': 736, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 1}
  • id: 36981002
    {'conductor': 23, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504630436301696, 'source_is_minimal': False, 'source_label': '2944.1.p.b.689.2', 'source_level': 2944, 'target_conrey_index': 689, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504630436301696, 'target_is_minimal': False, 'target_label': '2944.1.p.b.689.2', 'target_level': 2944, 'twist_class_label': '736.1.p.b.413.2', 'twist_class_level': 736, 'twisting_char_label': '23.22', 'twisting_conrey_index': 22, 'weight': 1}
  • id: 36981003
    {'conductor': 32, 'degree': 4, 'order': 8, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504630436301696, 'source_is_minimal': False, 'source_label': '2944.1.p.b.689.2', 'source_level': 2944, 'target_conrey_index': 413, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504630436299488, 'target_is_minimal': True, 'target_label': '736.1.p.b.413.2', 'target_level': 736, 'twist_class_label': '736.1.p.b.413.2', 'twist_class_level': 736, 'twisting_char_label': '32.3', 'twisting_conrey_index': 3, 'weight': 1}
  • id: 36981004
    {'conductor': 32, 'degree': 4, 'order': 8, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504630436301696, 'source_is_minimal': False, 'source_label': '2944.1.p.b.689.2', 'source_level': 2944, 'target_conrey_index': 2897, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504630436301696, 'target_is_minimal': False, 'target_label': '2944.1.p.b.2897.2', 'target_level': 2944, 'twist_class_label': '736.1.p.b.413.2', 'twist_class_level': 736, 'twisting_char_label': '32.29', 'twisting_conrey_index': 29, 'weight': 1}
  • id: 36981005
    {'conductor': 92, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504630436301696, 'source_is_minimal': False, 'source_label': '2944.1.p.b.689.2', 'source_level': 2944, 'target_conrey_index': 597, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504630436299488, 'target_is_minimal': True, 'target_label': '736.1.p.b.597.2', 'target_level': 736, 'twist_class_label': '736.1.p.b.413.2', 'twist_class_level': 736, 'twisting_char_label': '92.91', 'twisting_conrey_index': 91, 'weight': 1}
  • id: 36981006
    {'conductor': 736, 'degree': 4, 'order': 8, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504630436301696, 'source_is_minimal': False, 'source_label': '2944.1.p.b.689.2', 'source_level': 2944, 'target_conrey_index': 2897, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504630436301696, 'target_is_minimal': False, 'target_label': '2944.1.p.b.2897.2', 'target_level': 2944, 'twist_class_label': '736.1.p.b.413.2', 'twist_class_level': 736, 'twisting_char_label': '736.413', 'twisting_conrey_index': 413, 'weight': 1}
  • id: 36981007
    {'conductor': 736, 'degree': 4, 'order': 8, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504630436301696, 'source_is_minimal': False, 'source_label': '2944.1.p.b.689.2', 'source_level': 2944, 'target_conrey_index': 413, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504630436299488, 'target_is_minimal': True, 'target_label': '736.1.p.b.413.2', 'target_level': 736, 'twist_class_label': '736.1.p.b.413.2', 'twist_class_level': 736, 'twisting_char_label': '736.643', 'twisting_conrey_index': 643, 'weight': 1}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2928625
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436301696, 'p': 2}
  • id: 2928626
    {'charpoly_factorization': [[[1, 8, 22, 20, 18, 16, 10, 4, 1], 1]], 'hecke_orbit_code': 4504630436301696, 'p': 3}
  • id: 2928627
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436301696, 'p': 5}
  • id: 2928628
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436301696, 'p': 7}
  • id: 2928629
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436301696, 'p': 11}
  • id: 2928630
    {'charpoly_factorization': [[[1, 4, 18, 16, 2, -4, -2, 0, 1], 1]], 'hecke_orbit_code': 4504630436301696, 'p': 13}
  • id: 2928631
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436301696, 'p': 17}
  • id: 2928632
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436301696, 'p': 19}
  • id: 2928633
    {'charpoly_factorization': [[[1, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 4504630436301696, 'p': 23}
  • id: 2928634
    {'charpoly_factorization': [[[1, 4, 18, 16, 2, -4, -2, 0, 1], 1]], 'hecke_orbit_code': 4504630436301696, 'p': 29}
  • id: 2928635
    {'charpoly_factorization': [[[1, 0, -4, 0, 1], 2]], 'hecke_orbit_code': 4504630436301696, 'p': 31}
  • id: 2928636
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436301696, 'p': 37}
  • id: 2928637
    {'charpoly_factorization': [[[1, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 4504630436301696, 'p': 41}
  • id: 2928638
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436301696, 'p': 43}
  • id: 2928639
    {'charpoly_factorization': [[[3, 0, 1], 4]], 'hecke_orbit_code': 4504630436301696, 'p': 47}
  • id: 2928640
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436301696, 'p': 53}
  • id: 2928641
    {'charpoly_factorization': [[[2, 4, 2, 0, 1], 2]], 'hecke_orbit_code': 4504630436301696, 'p': 59}
  • id: 2928642
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436301696, 'p': 61}
  • id: 2928643
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436301696, 'p': 67}
  • id: 2928644
    {'charpoly_factorization': [[[1, 2, 2, -2, 1], 2]], 'hecke_orbit_code': 4504630436301696, 'p': 71}
  • id: 2928645
    {'charpoly_factorization': [[[9, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 4504630436301696, 'p': 73}
  • id: 2928646
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436301696, 'p': 79}
  • id: 2928647
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436301696, 'p': 83}
  • id: 2928648
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436301696, 'p': 89}
  • id: 2928649
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436301696, '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': 16, 'hecke_orbit': 2, 'label': '2944.1.p.b', 'level': 2944, 'portrait': 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', 'weight': 1}
• 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: 24315187
    {'hecke_orbit_code': 4504630436301696, 'n': 1, 'trace_an': 8}
  • id: 24315188
    {'hecke_orbit_code': 4504630436301696, 'n': 2, 'trace_an': 0}
  • id: 24315189
    {'hecke_orbit_code': 4504630436301696, 'n': 3, 'trace_an': -4}
  • id: 24315190
    {'hecke_orbit_code': 4504630436301696, 'n': 4, 'trace_an': 0}
  • id: 24315191
    {'hecke_orbit_code': 4504630436301696, 'n': 5, 'trace_an': 0}
  • id: 24315192
    {'hecke_orbit_code': 4504630436301696, 'n': 6, 'trace_an': 0}
  • id: 24315193
    {'hecke_orbit_code': 4504630436301696, 'n': 7, 'trace_an': 0}
  • id: 24315194
    {'hecke_orbit_code': 4504630436301696, 'n': 8, 'trace_an': 0}
  • id: 24315195
    {'hecke_orbit_code': 4504630436301696, 'n': 9, 'trace_an': -4}
  • id: 24315196
    {'hecke_orbit_code': 4504630436301696, 'n': 10, 'trace_an': 0}
  • id: 24315197
    {'hecke_orbit_code': 4504630436301696, 'n': 11, 'trace_an': 0}
  • id: 24315198
    {'hecke_orbit_code': 4504630436301696, 'n': 12, 'trace_an': 0}
  • id: 24315199
    {'hecke_orbit_code': 4504630436301696, 'n': 13, 'trace_an': 0}
  • id: 24315200
    {'hecke_orbit_code': 4504630436301696, 'n': 14, 'trace_an': 0}
  • id: 24315201
    {'hecke_orbit_code': 4504630436301696, 'n': 15, 'trace_an': 0}
  • id: 24315202
    {'hecke_orbit_code': 4504630436301696, 'n': 16, 'trace_an': 0}
  • id: 24315203
    {'hecke_orbit_code': 4504630436301696, 'n': 17, 'trace_an': 0}
  • id: 24315204
    {'hecke_orbit_code': 4504630436301696, 'n': 18, 'trace_an': 0}
  • id: 24315205
    {'hecke_orbit_code': 4504630436301696, 'n': 19, 'trace_an': 0}
  • id: 24315206
    {'hecke_orbit_code': 4504630436301696, 'n': 20, 'trace_an': 0}
  • id: 24315207
    {'hecke_orbit_code': 4504630436301696, 'n': 21, 'trace_an': 0}
  • id: 24315208
    {'hecke_orbit_code': 4504630436301696, 'n': 22, 'trace_an': 0}
  • id: 24315209
    {'hecke_orbit_code': 4504630436301696, 'n': 23, 'trace_an': 0}
  • id: 24315210
    {'hecke_orbit_code': 4504630436301696, 'n': 24, 'trace_an': 0}
  • id: 24315211
    {'hecke_orbit_code': 4504630436301696, 'n': 25, 'trace_an': 0}
  • id: 24315212
    {'hecke_orbit_code': 4504630436301696, 'n': 26, 'trace_an': 0}
  • id: 24315213
    {'hecke_orbit_code': 4504630436301696, 'n': 27, 'trace_an': 8}
  • id: 24315214
    {'hecke_orbit_code': 4504630436301696, 'n': 28, 'trace_an': 0}
  • id: 24315215
    {'hecke_orbit_code': 4504630436301696, 'n': 29, 'trace_an': 0}
  • id: 24315216
    {'hecke_orbit_code': 4504630436301696, 'n': 30, 'trace_an': 0}
  • id: 24315217
    {'hecke_orbit_code': 4504630436301696, 'n': 31, 'trace_an': 0}
  • id: 24315218
    {'hecke_orbit_code': 4504630436301696, 'n': 32, 'trace_an': 0}
  • id: 24315219
    {'hecke_orbit_code': 4504630436301696, 'n': 33, 'trace_an': 0}
  • id: 24315220
    {'hecke_orbit_code': 4504630436301696, 'n': 34, 'trace_an': 0}
  • id: 24315221
    {'hecke_orbit_code': 4504630436301696, 'n': 35, 'trace_an': 0}
  • id: 24315222
    {'hecke_orbit_code': 4504630436301696, 'n': 36, 'trace_an': 0}
  • id: 24315223
    {'hecke_orbit_code': 4504630436301696, 'n': 37, 'trace_an': 0}
  • id: 24315224
    {'hecke_orbit_code': 4504630436301696, 'n': 38, 'trace_an': 0}
  • id: 24315225
    {'hecke_orbit_code': 4504630436301696, 'n': 39, 'trace_an': 8}
  • id: 24315226
    {'hecke_orbit_code': 4504630436301696, 'n': 40, 'trace_an': 0}
  • id: 24315227
    {'hecke_orbit_code': 4504630436301696, 'n': 41, 'trace_an': 0}
  • id: 24315228
    {'hecke_orbit_code': 4504630436301696, 'n': 42, 'trace_an': 0}
  • id: 24315229
    {'hecke_orbit_code': 4504630436301696, 'n': 43, 'trace_an': 0}
  • id: 24315230
    {'hecke_orbit_code': 4504630436301696, 'n': 44, 'trace_an': 0}
  • id: 24315231
    {'hecke_orbit_code': 4504630436301696, 'n': 45, 'trace_an': 0}
  • id: 24315232
    {'hecke_orbit_code': 4504630436301696, 'n': 46, 'trace_an': 0}
  • id: 24315233
    {'hecke_orbit_code': 4504630436301696, 'n': 47, 'trace_an': 0}
  • id: 24315234
    {'hecke_orbit_code': 4504630436301696, 'n': 48, 'trace_an': 0}
  • id: 24315235
    {'hecke_orbit_code': 4504630436301696, 'n': 49, 'trace_an': 0}
  • id: 24315236
    {'hecke_orbit_code': 4504630436301696, 'n': 50, 'trace_an': 0}
  • id: 24315237
    {'hecke_orbit_code': 4504630436301696, 'n': 51, 'trace_an': 0}
  • id: 24315238
    {'hecke_orbit_code': 4504630436301696, 'n': 52, 'trace_an': 0}
  • id: 24315239
    {'hecke_orbit_code': 4504630436301696, 'n': 53, 'trace_an': 0}
  • id: 24315240
    {'hecke_orbit_code': 4504630436301696, 'n': 54, 'trace_an': 0}
  • id: 24315241
    {'hecke_orbit_code': 4504630436301696, 'n': 55, 'trace_an': 0}
  • id: 24315242
    {'hecke_orbit_code': 4504630436301696, 'n': 56, 'trace_an': 0}
  • id: 24315243
    {'hecke_orbit_code': 4504630436301696, 'n': 57, 'trace_an': 0}
  • id: 24315244
    {'hecke_orbit_code': 4504630436301696, 'n': 58, 'trace_an': 0}
  • id: 24315245
    {'hecke_orbit_code': 4504630436301696, 'n': 59, 'trace_an': 0}
  • id: 24315246
    {'hecke_orbit_code': 4504630436301696, 'n': 60, 'trace_an': 0}
  • id: 24315247
    {'hecke_orbit_code': 4504630436301696, 'n': 61, 'trace_an': 0}
  • id: 24315248
    {'hecke_orbit_code': 4504630436301696, 'n': 62, 'trace_an': 0}
  • id: 24315249
    {'hecke_orbit_code': 4504630436301696, 'n': 63, 'trace_an': 0}
  • id: 24315250
    {'hecke_orbit_code': 4504630436301696, 'n': 64, 'trace_an': 0}
  • id: 24315251
    {'hecke_orbit_code': 4504630436301696, 'n': 65, 'trace_an': 0}
  • id: 24315252
    {'hecke_orbit_code': 4504630436301696, 'n': 66, 'trace_an': 0}
  • id: 24315253
    {'hecke_orbit_code': 4504630436301696, 'n': 67, 'trace_an': 0}
  • id: 24315254
    {'hecke_orbit_code': 4504630436301696, 'n': 68, 'trace_an': 0}
  • id: 24315255
    {'hecke_orbit_code': 4504630436301696, 'n': 69, 'trace_an': 0}
  • id: 24315256
    {'hecke_orbit_code': 4504630436301696, 'n': 70, 'trace_an': 0}
  • id: 24315257
    {'hecke_orbit_code': 4504630436301696, 'n': 71, 'trace_an': 4}
  • id: 24315258
    {'hecke_orbit_code': 4504630436301696, 'n': 72, 'trace_an': 0}
  • id: 24315259
    {'hecke_orbit_code': 4504630436301696, 'n': 73, 'trace_an': 0}
  • id: 24315260
    {'hecke_orbit_code': 4504630436301696, 'n': 74, 'trace_an': 0}
  • id: 24315261
    {'hecke_orbit_code': 4504630436301696, 'n': 75, 'trace_an': 4}
  • id: 24315262
    {'hecke_orbit_code': 4504630436301696, 'n': 76, 'trace_an': 0}
  • id: 24315263
    {'hecke_orbit_code': 4504630436301696, 'n': 77, 'trace_an': 0}
  • id: 24315264
    {'hecke_orbit_code': 4504630436301696, 'n': 78, 'trace_an': 0}
  • id: 24315265
    {'hecke_orbit_code': 4504630436301696, 'n': 79, 'trace_an': 0}
  • id: 24315266
    {'hecke_orbit_code': 4504630436301696, 'n': 80, 'trace_an': 0}
  • id: 24315267
    {'hecke_orbit_code': 4504630436301696, 'n': 81, 'trace_an': 0}
  • id: 24315268
    {'hecke_orbit_code': 4504630436301696, 'n': 82, 'trace_an': 0}
  • id: 24315269
    {'hecke_orbit_code': 4504630436301696, 'n': 83, 'trace_an': 0}
  • id: 24315270
    {'hecke_orbit_code': 4504630436301696, 'n': 84, 'trace_an': 0}
  • id: 24315271
    {'hecke_orbit_code': 4504630436301696, 'n': 85, 'trace_an': 0}
  • id: 24315272
    {'hecke_orbit_code': 4504630436301696, 'n': 86, 'trace_an': 0}
  • id: 24315273
    {'hecke_orbit_code': 4504630436301696, 'n': 87, 'trace_an': 4}
  • id: 24315274
    {'hecke_orbit_code': 4504630436301696, 'n': 88, 'trace_an': 0}
  • id: 24315275
    {'hecke_orbit_code': 4504630436301696, 'n': 89, 'trace_an': 0}
  • id: 24315276
    {'hecke_orbit_code': 4504630436301696, 'n': 90, 'trace_an': 0}
  • id: 24315277
    {'hecke_orbit_code': 4504630436301696, 'n': 91, 'trace_an': 0}
  • id: 24315278
    {'hecke_orbit_code': 4504630436301696, 'n': 92, 'trace_an': 0}
  • id: 24315279
    {'hecke_orbit_code': 4504630436301696, 'n': 93, 'trace_an': 4}
  • id: 24315280
    {'hecke_orbit_code': 4504630436301696, 'n': 94, 'trace_an': 0}
  • id: 24315281
    {'hecke_orbit_code': 4504630436301696, 'n': 95, 'trace_an': 0}
  • id: 24315282
    {'hecke_orbit_code': 4504630436301696, 'n': 96, 'trace_an': 0}
  • id: 24315283
    {'hecke_orbit_code': 4504630436301696, 'n': 97, 'trace_an': 0}
  • id: 24315284
    {'hecke_orbit_code': 4504630436301696, 'n': 98, 'trace_an': 0}
  • id: 24315285
    {'hecke_orbit_code': 4504630436301696, 'n': 99, 'trace_an': 0}
  • id: 24315286
    {'hecke_orbit_code': 4504630436301696, 'n': 100, 'trace_an': 0}