Embedded newform data - 1425.2.c.c.799.2

Formats: - HTML - YAML - JSON - 2025-11-09T01:18:54.835218

• 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': 5700, 'analytic_conductor': 11.378682288032454, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [1425, 2, [476, 1027, 1351], [2, 1, 2]], 'cm_discs': [], 'conrey_index': 799, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [1, 0, 1]], [7, [4, 0, 1]], [11, [6, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007336727250321, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 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': '1425.2.c.c', 'level': 1425, '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': [3, 5, 19], 'level_radical': 285, 'minimal_twist': '285.2.a.a', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+i q^{2}+i q^{3}+q^{4}-q^{6}+2 i q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1425.2.c', 'trace_display': [0, 0, 0, 0], 'trace_hash': 2227714729981008840, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.009', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.885', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '15.243', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '155.915', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.522', 'prec': 17}, 'traces': [2, 0, 0, 2, 0, -2, 0, 0, -2, 0, -12, 0, 0, -4, 0, -2, 0, 0, -2, 0, -4, 0, 0, -6, 0, 0, 0, 0, -8, 0, 0, 0, 0, -12, 0, -2, 0, 0, 0, 0, 0, 0, 0, -12, 0, 16, 0, 0, 6, 0, -12, 0, 0, 2, 0, -12, 0, 0, -24, 0, 4, 0, 0, -14, 0, 12, 0, 0, 16, 0, 32, 0, 0, 8, 0, -2, 0, 0, -16, 0, 2, 0, 0, -4, 0, 4, 0, 0, 0, 0, 0, 0, 0, -16, 0, -10, 0, 0, 12, 0, -36, 0, 0, 0, 0, -4, 0, 0, 12, 0, 8, 0, 0, 2, 0, -8, 0, 0, -24, 0, 50, 0, 0, 0, 0, 4, 0, 0, 4, 0, -4, 0, 0, -16, 0, -36, 0, 0, 32, 0, -16, 0, 0, 2, 0, -28, 0, 0, -12, 0, -32, 0, 0, 24, 0, 0, 0, 0, -4, 0, 32, 0, 0, 0, 0, 0, 0, 0, 26, 0, 2, 0, 0, 8, 0, 12, 0, 0, 40, 0, 20, 0, 0, 48, 0, 0, 0, 0, 4, 0, 20, 0, 0, -24, 0, 6, 0, 0, 40, 0, -16, 0, 0, -12, 0, 16, 0, 0, 12, 0, -40, 0, 0, -24, 0, 6, 0, 0, -28, 0, 0, 0, 0, -20, 0, 12, 0, 0, -4, 0, 24, 0, 0, 0, 0, -24, 0, 0, -12, 0, 36, 0, 0, 4, 0, 0, 0, 0, 0, 0, -12, 0, 0, 8, 0, -34, 0, 0, 16, 0, 8, 0, 0, 36, 0, 4, 0, 0, -24, 0, -40, 0, 0, -20, 0, 16, 0, 0, 0, 0, -8, 0, 0, 32, 0, 0, 0, 0, -38, 0, -24, 0, 0, -6, 0, 24, 0, 0, 0, 0, 8, 0, 0, 2, 0, 12, 0, 0, 16, 0, 68, 0, 0, -4, 0, -16, 0, 0, 48, 0, -24, 0, 0, 2, 0, 44, 0, 0, -32, 0, 56, 0, 0, 32, 0, 4, 0, 0, 12, 0, 0, 0, 0, 12, 0, -12, 0, 0, 4, 0, 0, 0, 0, 24, 0, 0, 0, 0, -20, 0, 2, 0, 0, 0, 0, -4, 0, 0, 0, 0, -8, 0, 0, 72, 0, -48, 0, 0, -40, 0, 8, 0, 0, -6, 0, -48, 0, 0, 28, 0, 96, 0, 0, 12, 0, 12, 0, 0, 4, 0, 8, 0, 0, -36, 0, 16, 0, 0, 20, 0, -20, 0, 0, -16, 0, 0, 0, 0, 60, 0, 12, 0, 0, -12, 0, -32, 0, 0, 0, 0, 72, 0, 0, 0, 0, 12, 0, 0, -48, 0, -6, 0, 0, 8, 0, -16, 0, 0, 16, 0, 0, 0, 0, -56, 0, 6, 0, 0, 12, 0, 60, 0, 0, 8, 0, -44, 0, 0, -32, 0, -4, 0, 0, 16, 0, -24, 0, 0, -36, 0, 0, 0, 0, 50, 0, -2, 0, 0, 44, 0, -52, 0, 0, 0, 0, 0, 0, 0, 48, 0, 32, 0, 0, 12, 0, -96, 0, 0, 48, 0, -56, 0, 0, -44, 0, 4, 0, 0, -12, 0, -8, 0, 0, -4, 0, 24, 0, 0, -82, 0, 24, 0, 0, 0, 0, -48, 0, 0, -36, 0, -84, 0, 0, -60, 0, 0, 0, 0, -4, 0, 8, 0, 0, -4, 0, 32, 0, 0, 0, 0, 72, 0, 0, -16, 0, 28, 0, 0, 16, 0, -48, 0, 0, 0, 0, 14, 0, 0, -48, 0, 0, 0, 0, -84, 0, -60, 0, 0, 0, 0, 12, 0, 0, -12, 0, -12, 0, 0, 40, 0, 44, 0, 0, -32, 0, 36, 0, 0, 16, 0, 0, 0, 0, -16, 0, 72, 0, 0, -16, 0, -16, 0, 0, 0, 0, -20, 0, 0, 48, 0, -80, 0, 0, -12, 0, -4, 0, 0, -32, 0, 80, 0, 0, 32, 0, 12, 0, 0, 144, 0, 0, 0, 0, -12, 0, 0, 0, 0, -96, 0, -44, 0, 0, 0, 0, -8, 0, 0, -16, 0, -24, 0, 0, -24, 0, 26, 0, 0, -48, 0, -56, 0, 0, 2, 0, -40, 0, 0, 0, 0, 64, 0, 0, 16, 0, 24, 0, 0, -44, 0, -84, 0, 0, 84, 0, 68, 0, 0, 28, 0, 16, 0, 0, 24, 0, 40, 0, 0, 36, 0, 32, 0, 0, 20, 0, -50, 0, 0, -2, 0, 24, 0, 0, -28, 0, 80, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, -80, 0, 0, 0, 0, 4, 0, 0, -96, 0, 60, 0, 0, 20, 0, -16, 0, 0, 28, 0, -44, 0, 0, -4, 0, -72, 0, 0, 0, 0, -192, 0, 0, -6, 0, 4, 0, 0, 24, 0, 24, 0, 0, 12, 0, 40, 0, 0, -96, 0, 0, 0, 0, -16, 0, 0, 0, 0, -4, 0, 40, 0, 0, -48, 0, 12, 0, 0, 0, 0, 12, 0, 0, 48, 0, 48, 0, 0, 12, 0, -4, 0, 0, -32, 0, 12, 0, 0, -16, 0, -26, 0, 0, -40, 0, 16, 0, 0, 28, 0, -64, 0, 0, -8, 0, -72, 0, 0, -88, 0, 0, 0, 0, 10, 0, 32, 0, 0, 96, 0, 0, 0, 0, -16, 0, -28, 0, 0, -60, 0, -84, 0, 0, 0, 0, 24, 0, 0, 16, 0, -12, 0, 0, 12, 0, -12, 0, 0, 0, 0, -24, 0, 0, 36, 0, 32, 0, 0, 36, 0, 0, 0, 0, -12, 0, -4, 0, 0, 80, 0, -16, 0, 0, 24, 0, 28, 0, 0, -36, 0, -6, 0, 0, 24, 0, 0, 0, 0, -20, 0, 88, 0, 0, 24, 0, -24, 0, 0, 0, 0, -12, 0, 0, 4, 0, -12, 0, 0, -40, 0, -62, 0, 0, 36, 0, -32, 0, 0, 12, 0, -16, 0, 0, 16, 0, -4, 0, 0, 0, 0, -12, 0, 0, 0, 0, 48, 0, 0, -32, 0, -32, 0, 0, -64, 0, 0, 0, 0, -8, 0, 0, 0, 0, -12, 0, 72, 0, 0, -68, 0, -24, 0, 0, -26, 0, 24, 0, 0, -80, 0, 108, 0, 0, -46, 0, -2, 0, 0, -40, 0, 4, 0, 0, 96, 0, 16, 0, 0, -112, 0, 16, 0, 0, 8, 0, 8, 0, 0, 28, 0, -16, 0, 0, 0, 0, 60, 0, 0, 68, 0, -4, 0, 0, 12, 0, 0, 0, 0, 100, 0, 24, 0, 0, -40, 0, -24, 0, 0, 0, 0, 128, 0, 0, -40, 0, -20, 0, 0, -50, 0, 64, 0, 0, -16, 0, -60, 0, 0, -8, 0, -28, 0, 0, -16, 0, 32, 0, 0, 4, 0, 216, 0, 0, 36, 0, 0, 0, 0, 0, 0, 24, 0, 0, -8, 0, -72, 0, 0, 36, 0, 0, 0, 0, -4, 0, -32, 0, 0, -96, 0, 88, 0, 0, 0, 0, -20, 0, 0, -16, 0, 92, 0, 0, 4, 0, -38, 0, 0, -4, 0, -4, 0, 0, -24, 0, 24, 0, 0, 64, 0, -120, 0, 0, -40, 0, -18, 0, 0, 4, 0, -88, 0, 0, 40, 0, 20, 0, 0, 0, 0, 12, 0, 0, -40, 0, 0, 0, 0, -72, 0, -4, 0, 0, 8, 0, 16, 0, 0, 0, 0, -24, 0, 0, 32, 0, 14, 0, 0, 32, 0, -48, 0, 0, 36, 0, 4, 0, 0, 72, 0, 32, 0, 0, 68, 0, 16, 0, 0, 48, 0, -168, 0, 0, 68, 0, 0, 0, 0, -36, 0, -32, 0, 0, -12, 0, -12, 0, 0, 84, 0, 0, 0, 0, 16, 0, 40, 0, 0, 16, 0, 0, 0, 0, 0, 0, 48, 0, 0, -96, 0, -8, 0, 0, -24, 0, -4, 0, 0, 84, 0, 8, 0, 0, 40, 0, -2, 0, 0, 32, 0, 132, 0, 0, 132, 0, 36, 0, 0, 144, 0, -16, 0, 0, 28, 0, -32, 0, 0, 72, 0, 76, 0, 0, 56, 0, 0, 0, 0, 24, 0, -168, 0, 0, -64, 0, 96, 0, 0, 0, 0, 12, 0, 0, 28, 0, -72, 0, 0, -32, 0, -96, 0, 0, 36, 0, 12, 0, 0, 32, 0, -72, 0, 0, 0, 0, 72, 0, 0, 42, 0, -12, 0, 0, 4, 0, 20, 0, 0, 24, 0, 44, 0, 0, -36, 0, -24, 0, 0, 28, 0, 0, 0, 0, 0, 0, 4, 0, 0, -80, 0, 24, 0, 0, 0, 0, -8, 0, 0, 80, 0, 0, 0, 0, 72, 0, 72, 0, 0, -24, 0, -24, 0, 0, 0, 0, 0, 0, 0, 20, 0, 4, 0, 0, 12, 0, -20, 0, 0, 120, 0, 24, 0, 0, 2, 0, -36, 0, 0, -32, 0, 28, 0, 0, 52, 0, 0, 0, 0, -72, 0, 16, 0, 0, -12, 0, 44, 0, 0, 0, 0, -144, 0, 0, 96, 0, 0, 0, 0, 48, 0, -64, 0, 0, -8, 0, -48, 0, 0, -60, 0, -64, 0, 0, 0, 0, 216, 0, 0, 36, 0, 16, 0, 0, -80, 0, 12, 0, 0, 72, 0, -136, 0, 0, -76, 0, -40, 0, 0, 0, 0, -26, 0, 0, 8, 0, -24, 0, 0, -192, 0, 24, 0, 0, 0, 0, 22, 0, 0, -2, 0, 128, 0, 0, -144, 0, 12, 0, 0, -52, 0, 96, 0, 0, -16, 0, 28, 0, 0, 100, 0, -32, 0, 0, 96, 0, -8, 0, 0, 8, 0, -56, 0, 0, -56, 0, 36, 0, 0, -72, 0, 0, 0, 0, -12, 0, 0, 0, 0, -112, 0, -16, 0, 0, -52, 0, 4, 0, 0, 0, 0, -60, 0, 0, 8, 0, 168, 0, 0, 52, 0, -40, 0, 0, 24, 0, 36, 0, 0, 60, 0, -108, 0, 0, 48, 0, 40, 0, 0, -20, 0, -88, 0, 0, -4, 0, 20, 0, 0, 72, 0, -16, 0, 0, -20, 0, 28, 0, 0, -144, 0, 0, 0, 0, 72, 0, -48, 0, 0, 32, 0, 192, 0, 0, 0, 0, -36, 0, 0, 52, 0, 36, 0, 0, 0, 0, 60, 0, 0, 224, 0, -82, 0, 0, 12, 0, 8, 0, 0, -72, 0, 0, 0, 0, -100, 0, -20, 0, 0, 72, 0, -4, 0, 0, -96, 0, -52, 0, 0, 24, 0, 96, 0, 0, 92, 0, 0, 0, 0, -20, 0, 36, 0, 0, 72, 0, 48, 0, 0, 0, 0, 4, 0, 0, 38, 0, 0, 0, 0, 64, 0, -52, 0, 0, -12, 0, 24, 0, 0, 24, 0, 96, 0, 0, -48, 0, -48, 0, 0, -72, 0, -40, 0, 0, -6, 0, -4, 0, 0, -16, 0, -192, 0, 0, 96, 0, -8, 0, 0, 20, 0, 0, 0, 0, -48, 0, 16, 0, 0, 124, 0, -40, 0, 0, 0, 0, 16, 0, 0, -88, 0, -148, 0, 0, 0, 0, -8, 0, 0, 16, 0, 44, 0, 0, -104, 0, -168, 0, 0, -144, 0, 32, 0, 0, 10, 0, 0, 0, 0, 0, 0, 128, 0, 0, 8, 0, 12, 0, 0, 4, 0, 48, 0, 0, 60, 0, 0, 0, 0, 78, 0, 68, 0, 0, -16, 0, 56, 0, 0, -156, 0, 44, 0, 0, -132, 0, -68, 0, 0, 0, 0, 4, 0, 0, 60, 0, -32, 0, 0, -48, 0, -12, 0, 0, -4, 0, 0, 0, 0, -112, 0, 0, 0, 0, 96, 0, 48, 0, 0, 40, 0, 60, 0, 0, 24, 0, 60, 0, 0, 0, 0, 0, 0, 0, -48, 0, -36, 0, 0, 36, 0, 72, 0, 0, 0, 0, 24, 0, 0, -4, 0, -112, 0, 0, -28, 0, -50, 0, 0, -8, 0, 40, 0, 0, -6, 0, -64, 0, 0, -4, 0, -16, 0, 0, -84, 0, 44, 0, 0, 36, 0, 16, 0, 0, -52, 0, -16, 0, 0, -240, 0, 28, 0, 0, 32, 0, 0, 0, 0, -88, 0, 56, 0, 0, 0, 0, -56, 0, 0, 0, 0, -120, 0, 0, 28, 0, 48, 0, 0, -32, 0], 'weight': 2, '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, 0.7071067811865476], [0.0, 0.5773502691896257], [0.5, 0.0], [0.0, 0.0], [-0.408248290463863, 0.0], [0.0, 0.7559289460184545], [0.0, 1.0606601717798212], [-0.3333333333333333, 0.0], [0.0, 0.0], [-1.8090680674665818, 0.0], [0.0, 0.28867513459481287], [0.0, 0.0], [-0.5345224838248488, 0.0], [0.0, 0.0], [-0.25, 0.0], [0.0, 1.4552137502179978], [0.0, -0.23570226039551584], [-0.22941573387056177, 0.0], [0.0, 0.0], [-0.4364357804719848, 0.0], [0.0, -1.2792042981336627], [0.0, -1.6681153124565982], [-0.6123724356957945, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.19245008972987526], [0.0, 0.37796447300922725], [-0.7427813527082074, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.8838834764831844], [0.0, -1.044465935734187], [-1.028991510855053, 0.0], [0.0, 0.0], [-0.16666666666666666, 0.0], [0.0, -0.6575959492214292], [0.0, -0.16222142113076254], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.3086066999241838], [0.0, -0.30499714066520933], [-0.9045340337332909, 0.0], 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-0.27863181058386344], 'char_orbit_index': 3, 'conrey_index': 799, 'dual_conrey_index': 799, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 3, 'hecke_orbit_code': 9007336727250321, 'label': '1425.2.c.c.799.2', 'level': 1425, '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': 5700, 'analytic_conductor': 11.378682288032454, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [1425, 2, [476, 1027, 1351], [2, 1, 2]], 'conrey_index': 799, 'cusp_dim': 188, 'dim': 52, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 137472509329, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 6, 6], 'label': '1425.2.c', 'level': 1425, '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': [3, 5, 19], 'level_radical': 285, 'mf_dim': 212, 'mf_new_dim': 52, 'num_forms': 16, 'prim_orbit_index': 2, 'relative_dim': 52, 'sturm_bound': 400, 'trace_bound': 14, 'trace_display': [0, 0, 0, 0], 'traces': [52, 0, 0, -48, 0, -4, 0, 0, -52, 0, -4, 0, 0, -32, 0, 56, 0, 0, 8, 0, 0, 0, 0, 12, 0, 8, 0, 0, 16, 0, 24, 0, 0, 8, 0, 48, 0, 0, 0, 0, -56, 0, 0, 8, 0, -48, 0, 0, -40, 0, 16, 0, 0, 4, 0, 0, 0, 0, -96, 0, -28, 0, 0, -32, 0, -16, 0, 0, -16, 0, 96, 0, 0, 168, 0, -20, 0, 0, -24, 0, 52, 0, 0, 32, 0, -8, 0, 0, 32, 0, 0, 0, 0, -32, 0, -68, 0, 0, 4, 0, -40, 0, 0, 8, 0, -80, 0, 0, 48, 0, 0, 0, 0, 8, 0, 32, 0, 0, -108, 0, 64, 0, 0, -144, 0, 32, 0, 0, -48, 0, 20, 0, 0, -8, 0, -64, 0, 0, 20, 0, -8, 0, 0, -56, 0, 72, 0, 0, 76, 0, 72, 0, 0, 72, 0, 64, 0, 0, 48, 0, -64, 0, 0, 160, 0, 184, 0, 0, -60, 0, -8, 0, 0, -96, 0, 128, 0, 0, -40, 0, -104, 0, 0, 48, 0, -112, 0, 0, 0, 0, -68, 0, 0, -152, 0, 160, 0, 0, -12, 0, 8, 0, 0, -64, 0, -104, 0, 0, 20, 0, 24, 0, 0, 40, 0, -12, 0, 0, -32, 0, -136, 0, 0, 232, 0, -72, 0, 0, -44, 0, 32, 0, 0, -8, 0, 280, 0, 0, 60, 0, -8, 0, 0, 168, 0, -48, 0, 0, 32, 0, 108, 0, 0, 40, 0, -232, 0, 0, -128, 0, -16, 0, 0, 32, 0, 0, 0, 0, 128, 0, -80, 0, 0, 136, 0, -24, 0, 0, -24, 0, -144, 0, 0, 56, 0, -272, 0, 0, 80, 0, -16, 0, 0, 140, 0, -360, 0, 0, 32, 0, 84, 0, 0, 44, 0, -8, 0, 0, 56, 0, 140, 0, 0, 0, 0, -64, 0, 0, 64, 0, -32, 0, 0, -48, 0, -120, 0, 0, 84, 0, 64, 0, 0, 104, 0, 0, 0, 0, -32, 0, 216, 0, 0, -16, 0, -160, 0, 0, -140, 0, 0, 0, 0, -80, 0, -224, 0, 0, 12, 0, 52, 0, 0, -72, 0, 24, 0, 0, 56, 0, -40, 0, 0, 216, 0, -48, 0, 0, -216, 0, -104, 0, 0, 84, 0, -120, 0, 0, -172, 0, -112, 0, 0, -48, 0, -8, 0, 0, 32, 0, -72, 0, 0, -160, 0, 200, 0, 0, 152, 0, 80, 0, 0, 48, 0, -248, 0, 0, -248, 0, 16, 0, 0, -120, 0, -80, 0, 0, 0, 0, 136, 0, 0, 240, 0, 184, 0, 0, 32, 0, 40, 0, 0, -240, 0, 168, 0, 0, 360, 0, 392, 0, 0, -40, 0, -24, 0, 0, -16, 0, 228, 0, 0, 0, 0, -64, 0, 0, 56, 0, 64, 0, 0, -168, 0, 40, 0, 0, -128, 0, -128, 0, 0, 336, 0, -4, 0, 0, -32, 0, -168, 0, 0, -96, 0, 480, 0, 0, -20, 0, 48, 0, 0, 0, 0, -176, 0, 0, -224, 0, -212, 0, 0, 16, 0, 128, 0, 0, -64, 0, -40, 0, 0, -216, 0, -424, 0, 0, -188, 0, 96, 0, 0, 32, 0, 152, 0, 0, 104, 0, 52, 0, 0, -264, 0, 48, 0, 0, 28, 0, 16, 0, 0, 72, 0, -96, 0, 0, -200, 0, 96, 0, 0, 256, 0, 248, 0, 0, 80, 0, 48, 0, 0, -104, 0, 32, 0, 0, 16, 0, -16, 0, 0, 40, 0, 24, 0, 0, 16, 0, 16, 0, 0, 16, 0, -88, 0, 0, 80, 0, 8, 0, 0, 144, 0, 104, 0, 0, 224, 0, -56, 0, 0, -264, 0, -376, 0, 0, -16, 0, 16, 0, 0, -64, 0, 8, 0, 0, -64, 0, 252, 0, 0, 80, 0, -152, 0, 0, -96, 0, 0, 0, 0, -144, 0, 0, 0, 0, 200, 0, 112, 0, 0, 176, 0, 64, 0, 0, -360, 0, -104, 0, 0, -80, 0, -168, 0, 0, 152, 0, 108, 0, 0, -216, 0, 80, 0, 0, -152, 0, -128, 0, 0, 20, 0, 400, 0, 0, 192, 0, 388, 0, 0, -72, 0, 128, 0, 0, -96, 0, -88, 0, 0, -224, 0, 72, 0, 0, 240, 0, 24, 0, 0, 256, 0, 136, 0, 0, -60, 0, -160, 0, 0, 432, 0, -172, 0, 0, -52, 0, -244, 0, 0, 256, 0, -40, 0, 0, 4, 0, -24, 0, 0, 112, 0, 376, 0, 0, -168, 0, -152, 0, 0, -64, 0, -32, 0, 0, -192, 0, 100, 0, 0, -328, 0, -24, 0, 0, 284, 0, 32, 0, 0, 8, 0, 24, 0, 0, -32, 0, -168, 0, 0, 112, 0, -112, 0, 0, -224, 0, -248, 0, 0, 144, 0, 464, 0, 0, 156, 0, -32, 0, 0, -56, 0, 64, 0, 0, -12, 0, 304, 0, 0, -416, 0, 120, 0, 0, 0, 0, -332, 0, 0, -8, 0, -200, 0, 0, -88, 0, 0, 0, 0, -280, 0, -80, 0, 0, -184, 0, 52, 0, 0, -64, 0, 32, 0, 0, 0, 0, 48, 0, 0, 272, 0, 176, 0, 0, 68, 0, 32, 0, 0, 68, 0, 168, 0, 0, 192, 0, -16, 0, 0, -40, 0, -384, 0, 0, 160, 0, -108, 0, 0, 416, 0, 672, 0, 0, 32, 0, -4, 0, 0, 280, 0, -344, 0, 0, 136, 0, -80, 0, 0, 104, 0, 184, 0, 0, 40, 0, 8, 0, 0, -536, 0, 384, 0, 0, 160, 0, 248, 0, 0, -360, 0, 200, 0, 0, 200, 0, -44, 0, 0, -360, 0, -8, 0, 0, -96, 0, -112, 0, 0, -488, 0, -104, 0, 0, -416, 0, -160, 0, 0, 80, 0, 256, 0, 0, 180, 0, 460, 0, 0, -304, 0, 144, 0, 0, 24, 0, -144, 0, 0, -544, 0, -192, 0, 0, 64, 0, -48, 0, 0, 64, 0, 240, 0, 0, -368, 0, -88, 0, 0, -392, 0, -192, 0, 0, 0, 0], 'weight': 2, '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: 40658433
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007336727250321, 'source_is_minimal': False, 'source_label': '1425.2.c.c.799.2', 'source_level': 1425, 'target_conrey_index': 799, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007336727250321, 'target_is_minimal': False, 'target_label': '1425.2.c.c.799.2', 'target_level': 1425, 'twist_class_label': '285.2.a.a.1.1', 'twist_class_level': 285, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 40658434
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007336727250321, 'source_is_minimal': False, 'source_label': '1425.2.c.c.799.2', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33554717, 'target_is_minimal': True, 'target_label': '285.2.a.a.1.1', 'target_level': 285, 'twist_class_label': '285.2.a.a.1.1', 'twist_class_level': 285, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 40658435
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007336727250321, 'source_is_minimal': False, 'source_label': '1425.2.c.c.799.2', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597797778833, 'target_is_minimal': False, 'target_label': '1425.2.a.g.1.1', 'target_level': 1425, 'twist_class_label': '285.2.a.a.1.1', 'twist_class_level': 285, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 40658436
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007336727250321, 'source_is_minimal': False, 'source_label': '1425.2.c.c.799.2', 'source_level': 1425, 'target_conrey_index': 799, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007336727250321, 'target_is_minimal': False, 'target_label': '1425.2.c.c.799.1', 'target_level': 1425, 'twist_class_label': '285.2.a.a.1.1', 'twist_class_level': 285, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 40658437
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007336727250321, 'source_is_minimal': False, 'source_label': '1425.2.c.c.799.2', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288296279, 'target_is_minimal': False, 'target_label': '855.2.a.c.1.1', 'target_level': 855, 'twist_class_label': '285.2.a.a.1.1', 'twist_class_level': 285, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 40658438
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007336727250321, 'source_is_minimal': False, 'source_label': '1425.2.c.c.799.2', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197425152179, 'target_is_minimal': False, 'target_label': '4275.2.a.h.1.1', 'target_level': 4275, 'twist_class_label': '285.2.a.a.1.1', 'twist_class_level': 285, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 40658439
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007336727250321, 'source_is_minimal': False, 'source_label': '1425.2.c.c.799.2', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197425152464, 'target_is_minimal': False, 'target_label': '4560.2.a.h.1.1', 'target_level': 4560, 'twist_class_label': '285.2.a.a.1.1', 'twist_class_level': 285, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 40658440
    {'conductor': 95, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007336727250321, 'source_is_minimal': False, 'source_label': '1425.2.c.c.799.2', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197425153319, 'target_is_minimal': False, 'target_label': '5415.2.a.h.1.1', 'target_level': 5415, 'twist_class_label': '285.2.a.a.1.1', 'twist_class_level': 285, 'twisting_char_label': '95.37', 'twisting_conrey_index': 37, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1938975
    {'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 9007336727250321, 'p': 2}
  • id: 1938976
    {'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 9007336727250321, 'p': 3}
  • id: 1938977
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007336727250321, 'p': 5}
  • id: 1938978
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 9007336727250321, 'p': 7}
  • id: 1938979
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 9007336727250321, 'p': 11}
  • id: 1938980
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007336727250321, 'p': 13}
  • id: 1938981
    {'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 9007336727250321, 'p': 17}
  • id: 1938982
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 9007336727250321, 'p': 19}
  • id: 1938983
    {'charpoly_factorization': [[[64, 0, 1], 1]], 'hecke_orbit_code': 9007336727250321, 'p': 23}
  • id: 1938984
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 9007336727250321, 'p': 29}
  • id: 1938985
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007336727250321, 'p': 31}
  • id: 1938986
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 9007336727250321, 'p': 37}
  • id: 1938987
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007336727250321, 'p': 41}
  • id: 1938988
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 9007336727250321, 'p': 43}
  • id: 1938989
    {'charpoly_factorization': [[[64, 0, 1], 1]], 'hecke_orbit_code': 9007336727250321, 'p': 47}
  • id: 1938990
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 9007336727250321, 'p': 53}
  • id: 1938991
    {'charpoly_factorization': [[[12, 1], 2]], 'hecke_orbit_code': 9007336727250321, 'p': 59}
  • id: 1938992
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 9007336727250321, 'p': 61}
  • id: 1938993
    {'charpoly_factorization': [[[64, 0, 1], 1]], 'hecke_orbit_code': 9007336727250321, 'p': 67}
  • id: 1938994
    {'charpoly_factorization': [[[-16, 1], 2]], 'hecke_orbit_code': 9007336727250321, 'p': 71}
  • id: 1938995
    {'charpoly_factorization': [[[196, 0, 1], 1]], 'hecke_orbit_code': 9007336727250321, 'p': 73}
  • id: 1938996
    {'charpoly_factorization': [[[8, 1], 2]], 'hecke_orbit_code': 9007336727250321, 'p': 79}
  • id: 1938997
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007336727250321, 'p': 83}
  • id: 1938998
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007336727250321, 'p': 89}
  • id: 1938999
    {'charpoly_factorization': [[[144, 0, 1], 1]], 'hecke_orbit_code': 9007336727250321, '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': 3, 'hecke_orbit': 3, 'label': '1425.2.c.c', 'level': 1425, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29916625
    {'hecke_orbit_code': 9007336727250321, 'n': 1, 'trace_an': 2}
  • id: 29916626
    {'hecke_orbit_code': 9007336727250321, 'n': 2, 'trace_an': 0}
  • id: 29916627
    {'hecke_orbit_code': 9007336727250321, 'n': 3, 'trace_an': 0}
  • id: 29916628
    {'hecke_orbit_code': 9007336727250321, 'n': 4, 'trace_an': 2}
  • id: 29916629
    {'hecke_orbit_code': 9007336727250321, 'n': 5, 'trace_an': 0}
  • id: 29916630
    {'hecke_orbit_code': 9007336727250321, 'n': 6, 'trace_an': -2}
  • id: 29916631
    {'hecke_orbit_code': 9007336727250321, 'n': 7, 'trace_an': 0}
  • id: 29916632
    {'hecke_orbit_code': 9007336727250321, 'n': 8, 'trace_an': 0}
  • id: 29916633
    {'hecke_orbit_code': 9007336727250321, 'n': 9, 'trace_an': -2}
  • id: 29916634
    {'hecke_orbit_code': 9007336727250321, 'n': 10, 'trace_an': 0}
  • id: 29916635
    {'hecke_orbit_code': 9007336727250321, 'n': 11, 'trace_an': -12}
  • id: 29916636
    {'hecke_orbit_code': 9007336727250321, 'n': 12, 'trace_an': 0}
  • id: 29916637
    {'hecke_orbit_code': 9007336727250321, 'n': 13, 'trace_an': 0}
  • id: 29916638
    {'hecke_orbit_code': 9007336727250321, 'n': 14, 'trace_an': -4}
  • id: 29916639
    {'hecke_orbit_code': 9007336727250321, 'n': 15, 'trace_an': 0}
  • id: 29916640
    {'hecke_orbit_code': 9007336727250321, 'n': 16, 'trace_an': -2}
  • id: 29916641
    {'hecke_orbit_code': 9007336727250321, 'n': 17, 'trace_an': 0}
  • id: 29916642
    {'hecke_orbit_code': 9007336727250321, 'n': 18, 'trace_an': 0}
  • id: 29916643
    {'hecke_orbit_code': 9007336727250321, 'n': 19, 'trace_an': -2}
  • id: 29916644
    {'hecke_orbit_code': 9007336727250321, 'n': 20, 'trace_an': 0}
  • id: 29916645
    {'hecke_orbit_code': 9007336727250321, 'n': 21, 'trace_an': -4}
  • id: 29916646
    {'hecke_orbit_code': 9007336727250321, 'n': 22, 'trace_an': 0}
  • id: 29916647
    {'hecke_orbit_code': 9007336727250321, 'n': 23, 'trace_an': 0}
  • id: 29916648
    {'hecke_orbit_code': 9007336727250321, 'n': 24, 'trace_an': -6}
  • id: 29916649
    {'hecke_orbit_code': 9007336727250321, 'n': 25, 'trace_an': 0}
  • id: 29916650
    {'hecke_orbit_code': 9007336727250321, 'n': 26, 'trace_an': 0}
  • id: 29916651
    {'hecke_orbit_code': 9007336727250321, 'n': 27, 'trace_an': 0}
  • id: 29916652
    {'hecke_orbit_code': 9007336727250321, 'n': 28, 'trace_an': 0}
  • id: 29916653
    {'hecke_orbit_code': 9007336727250321, 'n': 29, 'trace_an': -8}
  • id: 29916654
    {'hecke_orbit_code': 9007336727250321, 'n': 30, 'trace_an': 0}
  • id: 29916655
    {'hecke_orbit_code': 9007336727250321, 'n': 31, 'trace_an': 0}
  • id: 29916656
    {'hecke_orbit_code': 9007336727250321, 'n': 32, 'trace_an': 0}
  • id: 29916657
    {'hecke_orbit_code': 9007336727250321, 'n': 33, 'trace_an': 0}
  • id: 29916658
    {'hecke_orbit_code': 9007336727250321, 'n': 34, 'trace_an': -12}
  • id: 29916659
    {'hecke_orbit_code': 9007336727250321, 'n': 35, 'trace_an': 0}
  • id: 29916660
    {'hecke_orbit_code': 9007336727250321, 'n': 36, 'trace_an': -2}
  • id: 29916661
    {'hecke_orbit_code': 9007336727250321, 'n': 37, 'trace_an': 0}
  • id: 29916662
    {'hecke_orbit_code': 9007336727250321, 'n': 38, 'trace_an': 0}
  • id: 29916663
    {'hecke_orbit_code': 9007336727250321, 'n': 39, 'trace_an': 0}
  • id: 29916664
    {'hecke_orbit_code': 9007336727250321, 'n': 40, 'trace_an': 0}
  • id: 29916665
    {'hecke_orbit_code': 9007336727250321, 'n': 41, 'trace_an': 0}
  • id: 29916666
    {'hecke_orbit_code': 9007336727250321, 'n': 42, 'trace_an': 0}
  • id: 29916667
    {'hecke_orbit_code': 9007336727250321, 'n': 43, 'trace_an': 0}
  • id: 29916668
    {'hecke_orbit_code': 9007336727250321, 'n': 44, 'trace_an': -12}
  • id: 29916669
    {'hecke_orbit_code': 9007336727250321, 'n': 45, 'trace_an': 0}
  • id: 29916670
    {'hecke_orbit_code': 9007336727250321, 'n': 46, 'trace_an': 16}
  • id: 29916671
    {'hecke_orbit_code': 9007336727250321, 'n': 47, 'trace_an': 0}
  • id: 29916672
    {'hecke_orbit_code': 9007336727250321, 'n': 48, 'trace_an': 0}
  • id: 29916673
    {'hecke_orbit_code': 9007336727250321, 'n': 49, 'trace_an': 6}
  • id: 29916674
    {'hecke_orbit_code': 9007336727250321, 'n': 50, 'trace_an': 0}
  • id: 29916675
    {'hecke_orbit_code': 9007336727250321, 'n': 51, 'trace_an': -12}
  • id: 29916676
    {'hecke_orbit_code': 9007336727250321, 'n': 52, 'trace_an': 0}
  • id: 29916677
    {'hecke_orbit_code': 9007336727250321, 'n': 53, 'trace_an': 0}
  • id: 29916678
    {'hecke_orbit_code': 9007336727250321, 'n': 54, 'trace_an': 2}
  • id: 29916679
    {'hecke_orbit_code': 9007336727250321, 'n': 55, 'trace_an': 0}
  • id: 29916680
    {'hecke_orbit_code': 9007336727250321, 'n': 56, 'trace_an': -12}
  • id: 29916681
    {'hecke_orbit_code': 9007336727250321, 'n': 57, 'trace_an': 0}
  • id: 29916682
    {'hecke_orbit_code': 9007336727250321, 'n': 58, 'trace_an': 0}
  • id: 29916683
    {'hecke_orbit_code': 9007336727250321, 'n': 59, 'trace_an': -24}
  • id: 29916684
    {'hecke_orbit_code': 9007336727250321, 'n': 60, 'trace_an': 0}
  • id: 29916685
    {'hecke_orbit_code': 9007336727250321, 'n': 61, 'trace_an': 4}
  • id: 29916686
    {'hecke_orbit_code': 9007336727250321, 'n': 62, 'trace_an': 0}
  • id: 29916687
    {'hecke_orbit_code': 9007336727250321, 'n': 63, 'trace_an': 0}
  • id: 29916688
    {'hecke_orbit_code': 9007336727250321, 'n': 64, 'trace_an': -14}
  • id: 29916689
    {'hecke_orbit_code': 9007336727250321, 'n': 65, 'trace_an': 0}
  • id: 29916690
    {'hecke_orbit_code': 9007336727250321, 'n': 66, 'trace_an': 12}
  • id: 29916691
    {'hecke_orbit_code': 9007336727250321, 'n': 67, 'trace_an': 0}
  • id: 29916692
    {'hecke_orbit_code': 9007336727250321, 'n': 68, 'trace_an': 0}
  • id: 29916693
    {'hecke_orbit_code': 9007336727250321, 'n': 69, 'trace_an': 16}
  • id: 29916694
    {'hecke_orbit_code': 9007336727250321, 'n': 70, 'trace_an': 0}
  • id: 29916695
    {'hecke_orbit_code': 9007336727250321, 'n': 71, 'trace_an': 32}
  • id: 29916696
    {'hecke_orbit_code': 9007336727250321, 'n': 72, 'trace_an': 0}
  • id: 29916697
    {'hecke_orbit_code': 9007336727250321, 'n': 73, 'trace_an': 0}
  • id: 29916698
    {'hecke_orbit_code': 9007336727250321, 'n': 74, 'trace_an': 8}
  • id: 29916699
    {'hecke_orbit_code': 9007336727250321, 'n': 75, 'trace_an': 0}
  • id: 29916700
    {'hecke_orbit_code': 9007336727250321, 'n': 76, 'trace_an': -2}
  • id: 29916701
    {'hecke_orbit_code': 9007336727250321, 'n': 77, 'trace_an': 0}
  • id: 29916702
    {'hecke_orbit_code': 9007336727250321, 'n': 78, 'trace_an': 0}
  • id: 29916703
    {'hecke_orbit_code': 9007336727250321, 'n': 79, 'trace_an': -16}
  • id: 29916704
    {'hecke_orbit_code': 9007336727250321, 'n': 80, 'trace_an': 0}
  • id: 29916705
    {'hecke_orbit_code': 9007336727250321, 'n': 81, 'trace_an': 2}
  • id: 29916706
    {'hecke_orbit_code': 9007336727250321, 'n': 82, 'trace_an': 0}
  • id: 29916707
    {'hecke_orbit_code': 9007336727250321, 'n': 83, 'trace_an': 0}
  • id: 29916708
    {'hecke_orbit_code': 9007336727250321, 'n': 84, 'trace_an': -4}
  • id: 29916709
    {'hecke_orbit_code': 9007336727250321, 'n': 85, 'trace_an': 0}
  • id: 29916710
    {'hecke_orbit_code': 9007336727250321, 'n': 86, 'trace_an': 4}
  • id: 29916711
    {'hecke_orbit_code': 9007336727250321, 'n': 87, 'trace_an': 0}
  • id: 29916712
    {'hecke_orbit_code': 9007336727250321, 'n': 88, 'trace_an': 0}
  • id: 29916713
    {'hecke_orbit_code': 9007336727250321, 'n': 89, 'trace_an': 0}
  • id: 29916714
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  • id: 29916715
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  • id: 29916716
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  • id: 29916717
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  • id: 29916718
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  • id: 29916719
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  • id: 29916720
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  • id: 29916721
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  • id: 29916722
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  • id: 29916723
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  • id: 29916724
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  • id: 29916725
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  • id: 29916726
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  • id: 29916727
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  • id: 29916728
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  • id: 29916729
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  • id: 29916730
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  • id: 29916731
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  • id: 29916732
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  • id: 29916733
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  • id: 29916734
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  • id: 29916735
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  • id: 29916736
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  • id: 29916737
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  • id: 29916738
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  • id: 29916739
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  • id: 29916740
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  • id: 29916741
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  • id: 29916742
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  • id: 29916743
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  • id: 29916744
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  • id: 29916745
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  • id: 29916746
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  • id: 29916747
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  • id: 29916748
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  • id: 29916749
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  • id: 29916750
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  • id: 29916751
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  • id: 29916753
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  • id: 29916755
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  • id: 29916756
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  • id: 29916757
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  • id: 29916758
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  • id: 29916759
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  • id: 29916760
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  • id: 29916761
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  • id: 29916762
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  • id: 29916763
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  • id: 29916764
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  • id: 29916765
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  • id: 29916766
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  • id: 29916767
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  • id: 29916768
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  • id: 29916769
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  • id: 29916770
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  • id: 29916771
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  • id: 29916772
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  • id: 29916773
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  • id: 29916775
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  • id: 29916776
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  • id: 29916777
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  • id: 29916778
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  • id: 29916779
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  • id: 29916780
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  • id: 29916781
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  • id: 29916782
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  • id: 29916783
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  • id: 29916784
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  • id: 29916785
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  • id: 29916786
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  • id: 29916787
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  • id: 29916788
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  • id: 29916789
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  • id: 29916790
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  • id: 29916791
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  • id: 29916792
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  • id: 29916793
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  • id: 29916794
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  • id: 29916795
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  • id: 29916796
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  • id: 29916797
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  • id: 29916798
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  • id: 29916799
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  • id: 29916800
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  • id: 29916801
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  • id: 29916802
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  • id: 29916803
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  • id: 29916804
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  • id: 29916805
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  • id: 29916806
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  • id: 29916807
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  • id: 29916808
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  • id: 29916809
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  • id: 29916810
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  • id: 29916811
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  • id: 29916812
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  • id: 29916813
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  • id: 29916814
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  • id: 29916815
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  • id: 29916816
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  • id: 29916817
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  • id: 29916818
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  • id: 29916819
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  • id: 29916820
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  • id: 29916821
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  • id: 29916822
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  • id: 29916823
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  • id: 29916824
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  • id: 29916825
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  • id: 29916826
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  • id: 29916827
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  • id: 29916828
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  • id: 29916829
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  • id: 29916830
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  • id: 29916831
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  • id: 29916832
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  • id: 29916833
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  • id: 29916834
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  • id: 29916835
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  • id: 29916836
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  • id: 29916837
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  • id: 29916838
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  • id: 29916839
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  • id: 29916840
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  • id: 29916841
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  • id: 29916842
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  • id: 29916843
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  • id: 29916844
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  • id: 29916845
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  • id: 29916846
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  • id: 29916847
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  • id: 29916848
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  • id: 29916849
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  • id: 29916850
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  • id: 29916851
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  • id: 29916852
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  • id: 29916853
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  • id: 29916854
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  • id: 29916855
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  • id: 29916856
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  • id: 29916857
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  • id: 29916858
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  • id: 29916859
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  • id: 29916860
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  • id: 29916861
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  • id: 29916862
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  • id: 29916863
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  • id: 29916864
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  • id: 29916865
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  • id: 29916866
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  • id: 29916867
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  • id: 29916868
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  • id: 29916869
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  • id: 29916870
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  • id: 29916871
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  • id: 29916872
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  • id: 29916873
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  • id: 29916874
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  • id: 29916875
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  • id: 29916876
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  • id: 29916877
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  • id: 29916878
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  • id: 29916879
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  • id: 29916880
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  • id: 29916881
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  • id: 29916882
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