Embedded newform data - 3276.2.bi.c.2449.7

Formats: - HTML - YAML - JSON - 2025-12-23T14:53:19.974911

• 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': 13104, 'analytic_conductor': 26.158991702171456, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 91, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 35, 'char_orbit_label': 'bi', 'char_order': 4, 'char_parity': 1, 'char_values': [3276, 4, [1639, 2549, 2341, 2017], [4, 4, 2, 1]], 'cm_discs': [], 'conrey_index': 1945, 'dim': 16, 'field_disc': 17101172024593301727329910784, 'field_disc_factorization': [[2, 30], [11, 4], [5743, 4]], 'field_poly': [289, 0, 2648, 0, 8828, 0, 13164, 0, 8914, 0, 2912, 0, 472, 0, 36, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [4, 0, 0, 0, 52853, 0, 0, 0, 6431, 0, 0, 0, 187, 0, 0, 0, 1]], [19, [3262922884, 0, 0, 0, 157342549, 0, 0, 0, 920035, 0, 0, 0, 1767, 0, 0, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9009535750507724, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 13, 4, -1, 4, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 91, 9, 1, 4, 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': '3276.2.bi.c', 'level': 3276, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 13], 'level_radical': 546, 'minimal_twist': '364.2.n.a', 'prim_orbit_index': 9, 'qexp_display': 'q+(\\beta _{4}+\\beta _{14})q^{5}+(-\\beta _{3}+\\beta _{4}+\\beta _{5}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3276.2.bi', 'trace_display': [0, 0, 0, -2], 'trace_hash': 122308215483031195, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.001', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.916', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1681.175', 'prec': 27}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '302558.313', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.628', 'prec': 17}, 'traces': [16, 0, 0, 0, 0, 0, -2, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 8, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, -20, 0, 0, 0, 12, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, -12, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, -64, 0, 0, 0, -20, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 148, 0, 0, 0, 0, 0, -64, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 56, 0, 0, 0, 0, 0, 20, 0, -16, 0, 0, 0, 0, 0, 124, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 76, 0, -216, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 76, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -116, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -86, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -220, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -16, 0, 88, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, -212, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, -8, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 84, 0, 0, 0, -36, 0, 0, 0, 0, 0, -32, 0, -20, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, 28, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -124, 0, 76, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 36, 0, 0, 0, -132, 0, 0, 0, 0, 0, -176, 0, 276, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 24, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, 24, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, -76, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 172, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 304, 0, 72, 0, 0, 0, 44, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 200, 0, -140, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -376, 0, -108, 0, 0, 0, -248, 0, 0, 0, 0, 0, 196, 0, 0, 0, 0, 0, 0, 0, 156, 0, 0, 0, 0, 0, -188, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 112, 0, 0, 0, 0, 0, 48, 0, 24, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 300, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 236, 0, 0, 0, 0, 0, 300, 0, 0, 0, 0, 0, 56, 0, -444, 0, 0, 0, 0, 0, -340, 0, 0, 0, 0, 0, 42, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -124, 0, 4, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, -180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -396, 0, 0, 0, 0, 0, -156, 0, 0, 0, 0, 0, -292, 0, 432, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, -68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -372, 0, 0, 0, 0, 0, -96, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 204, 0, -56, 0, 0, 0, -112, 0, 0, 0, 0, 0, -32, 0, -156, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, -20, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 0, 0, -332, 0, 400, 0, 0, 0, 0, 0, -164, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 124, 0, 216, 0, 0, 0, 44, 0, 0, 0, 0, 0, -64, 0, 384, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, -76, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 292, 0, 116, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -424, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 124, 0, -32, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 188, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 86, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 504, 0, -24, 0, 0, 0, 468, 0, 0, 0, 0, 0, -92, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 280, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 332, 0, 0, 0, 0, 0, 0, 0, 0, 0, 276, 0, -224, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -92, 0, 44, 0, 0, 0, -280, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, -48, 0, 0, 0, 164, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 228, 0, 0, 0, 0, 0, 124, 0, -168, 0, 0, 0, 0, 0, 372, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 124, 0, -724, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 188, 0, 0, 0, 452, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, -12, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 164, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, 196, 0, 0, 0, 0, 0, -160, 0, 236, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, -236, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 36, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 236, 0, -4, 0, 0, 0, 228, 0, 0, 0, 0, 0, -96, 0, -324, 0, 0, 0, 0, 0, -372, 0, 0, 0, 0, 0, 208, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, -436, 0, 436, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -248, 0, 300, 0, 0, 0, -240, 0, 0, 0, 0, 0, -256, 0, 540, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 108, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -268, 0, 0, 0, 0, 0, -44, 0, 220, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, -100, 0, 0, 0, -340, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 272, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 76, 0, 280, 0, 0, 0, -64, 0, 0, 0, 0, 0, -204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 132, 0, -256, 0, 0, 0, 0, 0, -276, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, 0, 92, 0, 0, 0, -48, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, -84, 0, 0, 0, -436, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 140, 0, 0, 0, 0, 0, -180, 0, 40, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 404, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 436, 0, 0, 0, 0, 0, 492, 0, 0, 0, 0, 0, 92, 0, -440, 0, 0, 0, 0, 0, -292, 0, 0, 0, 0, 0, 80, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 184, 0, 0, 0, 296, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, -284, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 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, 0.0], [0.0, 0.0], [0.0, 0.0], [0.736339697595125, 0.736339697595125], [0.0, 0.0], [-0.9841650073115711, -0.1772547273937008], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6806766927725019, 0.6806766927725019], [0.0, 0.0], [-0.7895616038251352, -0.6136713075947745], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.08936636303480007, 0.0], [0.0, 0.0], [-0.9128544603092588, -0.9128544603092588], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.2964994695148466], [0.0, 0.0], [0.0, 0.08439230050896002], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7563051330196803, 0.0], [0.0, 0.0], [-0.22954252028276445, -0.22954252028276445], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.5941600715011223, -0.8551994562338902], [0.0, 0.0], [-0.40543172009271433, -0.40543172009271433], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9669754136997325, -0.9669754136997325], [0.0, 0.0], [0.0, 0.4360638616372308], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.25009564407015183, 0.25009564407015183], [0.0, 0.0], 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-0.10743519908890968, -0.4013092742920077, -0.1970386943247152, -0.31720056916418016, -0.29674949812342566, -0.4551290404389416, 0.0934705045537672, -0.16878654473565677, -0.23224309083973474, -0.18612783413685274, -0.46429641020382767, -0.1400946650975188, -0.40086879849117973, -0.10230928311965563, 0.10003413287980172, -0.4921176263310386, -0.4718356827993798, 0.06425816580332568, -0.24933171735244852, -0.3608453845541873, -0.471764282233252, -0.3456945555525891, -0.3301769457041417, -0.4939975597775159, -0.4354402202158781, -0.26434729663952733, -0.4229769846578999, -0.24802224868006406, 0.04873199373902379, -0.24213026724162595, -0.40304262401204816, -0.2788702382231546, -0.17587052906728348, -0.4328558267938343, -0.3850105930189488], 'char_orbit_index': 35, 'conrey_index': 2449, 'dual_conrey_index': 1945, 'dual_embedding_index': 7, 'dual_embedding_m': 7, 'embedding_index': 7, 'embedding_m': 15, 'embedding_root_imag': -1.3684669541697743, 'embedding_root_real': 0.0, 'hecke_orbit': 3, 'hecke_orbit_code': 9009535750507724, 'label': '3276.2.bi.c.2449.7', 'level': 3276, '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': 13104, 'analytic_conductor': 26.158991702171456, 'char_conductor': 91, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 35, 'char_orbit_label': 'bi', 'char_order': 4, 'char_parity': 1, 'char_values': [3276, 4, [1639, 2549, 2341, 2017], [4, 4, 2, 1]], 'conrey_index': 1945, 'cusp_dim': 1296, 'dim': 96, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 19], 'hecke_orbit_code': 2336495766732, 'hecke_orbit_dims': [4, 4, 16, 20, 20, 32], 'label': '3276.2.bi', 'level': 3276, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 13], 'level_radical': 546, 'mf_dim': 1392, 'mf_new_dim': 96, 'num_forms': 6, 'prim_orbit_index': 9, 'relative_dim': 48, 'sturm_bound': 1344, 'trace_bound': 7, 'trace_display': [0, 0, 0, -2], 'traces': [96, 0, 0, 0, 0, 0, -2, 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, 24, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 40, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 44, 0, 0, 0, -60, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 36, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 94, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 64, 0, 0, 0, -52, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -64, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, -56, 0, 0, 0, 0, 0, 36, 0, 80, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 148, 0, 312, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, -100, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, -112, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -86, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -124, 0, 0, 0, 0, 0, -72, 0, 24, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 88, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 204, 0, -124, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, -156, 0, 0, 0, 0, 0, -164, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, -132, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -372, 0, -428, 0, 0, 0, 92, 0, 0, 0, 0, 0, -128, 0, -124, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 24, 0, 0, 0, -252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 8, 0, -228, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -236, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, -76, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -368, 0, 24, 0, 0, 0, -236, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 228, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, -60, 0, 0, 0, -24, 0, 0, 0, 0, 0, -92, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, -76, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 560, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, -248, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 228, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 260, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 376, 0, 4, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, -86, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 364, 0, -364, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 148, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -148, 0, 0, 0, 0, 0, -260, 0, -144, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 156, 0, 0, 0, 0, 0, -272, 0, 0, 0, -328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 468, 0, -248, 0, 0, 0, 312, 0, 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: 41984385
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 2449, 'source_dim': 16, 'source_embedding_index': 7, 'source_hecke_orbit_code': 9009535750507724, 'source_is_minimal': False, 'source_label': '3276.2.bi.c.2449.7', 'source_level': 3276, 'target_conrey_index': 2449, 'target_dim': 16, 'target_embedding_index': 7, 'target_hecke_orbit_code': 9009535750507724, 'target_is_minimal': False, 'target_label': '3276.2.bi.c.2449.7', 'target_level': 3276, 'twist_class_label': '364.2.n.a.125.4', 'twist_class_level': 364, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 41984386
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2449, 'source_dim': 16, 'source_embedding_index': 7, 'source_hecke_orbit_code': 9009535750507724, 'source_is_minimal': False, 'source_label': '3276.2.bi.c.2449.7', 'source_level': 3276, 'target_conrey_index': 265, 'target_dim': 16, 'target_embedding_index': 5, 'target_hecke_orbit_code': 893386752364, 'target_is_minimal': True, 'target_label': '364.2.n.a.265.5', 'target_level': 364, 'twist_class_label': '364.2.n.a.125.4', 'twist_class_level': 364, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 41984387
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2449, 'source_dim': 16, 'source_embedding_index': 7, 'source_hecke_orbit_code': 9009535750507724, 'source_is_minimal': False, 'source_label': '3276.2.bi.c.2449.7', 'source_level': 3276, 'target_conrey_index': 2449, 'target_dim': 16, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9009535750507724, 'target_is_minimal': False, 'target_label': '3276.2.bi.c.2449.2', 'target_level': 3276, 'twist_class_label': '364.2.n.a.125.4', 'twist_class_level': 364, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 41984388
    {'conductor': 13, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 2449, 'source_dim': 16, 'source_embedding_index': 7, 'source_hecke_orbit_code': 9009535750507724, 'source_is_minimal': False, 'source_label': '3276.2.bi.c.2449.7', 'source_level': 3276, 'target_conrey_index': 1945, 'target_dim': 16, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9009535750507724, 'target_is_minimal': False, 'target_label': '3276.2.bi.c.1945.2', 'target_level': 3276, 'twist_class_label': '364.2.n.a.125.4', 'twist_class_level': 364, 'twisting_char_label': '13.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 41984389
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2449, 'source_dim': 16, 'source_embedding_index': 7, 'source_hecke_orbit_code': 9009535750507724, 'source_is_minimal': False, 'source_label': '3276.2.bi.c.2449.7', 'source_level': 3276, 'target_conrey_index': 265, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 893386752364, 'target_is_minimal': True, 'target_label': '364.2.n.a.265.4', 'target_level': 364, 'twist_class_label': '364.2.n.a.125.4', 'twist_class_level': 364, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 2}
  • id: 41984390
    {'conductor': 39, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 2449, 'source_dim': 16, 'source_embedding_index': 7, 'source_hecke_orbit_code': 9009535750507724, 'source_is_minimal': False, 'source_label': '3276.2.bi.c.2449.7', 'source_level': 3276, 'target_conrey_index': 125, 'target_dim': 16, 'target_embedding_index': 5, 'target_hecke_orbit_code': 893386752364, 'target_is_minimal': True, 'target_label': '364.2.n.a.125.5', 'target_level': 364, 'twist_class_label': '364.2.n.a.125.4', 'twist_class_level': 364, 'twisting_char_label': '39.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 41984391
    {'conductor': 91, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 2449, 'source_dim': 16, 'source_embedding_index': 7, 'source_hecke_orbit_code': 9009535750507724, 'source_is_minimal': False, 'source_label': '3276.2.bi.c.2449.7', 'source_level': 3276, 'target_conrey_index': 1945, 'target_dim': 16, 'target_embedding_index': 7, 'target_hecke_orbit_code': 9009535750507724, 'target_is_minimal': False, 'target_label': '3276.2.bi.c.1945.7', 'target_level': 3276, 'twist_class_label': '364.2.n.a.125.4', 'twist_class_level': 364, 'twisting_char_label': '91.34', 'twisting_conrey_index': 34, 'weight': 2}
  • id: 41984392
    {'conductor': 273, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 2449, 'source_dim': 16, 'source_embedding_index': 7, 'source_hecke_orbit_code': 9009535750507724, 'source_is_minimal': False, 'source_label': '3276.2.bi.c.2449.7', 'source_level': 3276, 'target_conrey_index': 125, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 893386752364, 'target_is_minimal': True, 'target_label': '364.2.n.a.125.4', 'target_level': 364, 'twist_class_label': '364.2.n.a.125.4', 'twist_class_level': 364, 'twisting_char_label': '273.125', 'twisting_conrey_index': 125, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3098325
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 9009535750507724, 'p': 2}
  • id: 3098326
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 9009535750507724, 'p': 3}
  • id: 3098327
    {'charpoly_factorization': [[[4, 0, 0, 0, 52853, 0, 0, 0, 6431, 0, 0, 0, 187, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009535750507724, 'p': 5}
  • id: 3098328
    {'charpoly_factorization': [[[5764801, 1647086, 235298, 504210, 163268, 40474, 26950, 10374, 3910, 1482, 550, 118, 68, 30, 2, 2, 1], 1]], 'hecke_orbit_code': 9009535750507724, 'p': 7}
  • id: 3098329
    {'charpoly_factorization': [[[1156, -1700, 1250, 596, 188, -46, 18, 6, 1], 2]], 'hecke_orbit_code': 9009535750507724, 'p': 11}
  • id: 3098330
    {'charpoly_factorization': [[[815730721, 0, -144804270, 0, 25019436, 0, -2578602, 0, 237270, 0, -15258, 0, 876, 0, -30, 0, 1], 1]], 'hecke_orbit_code': 9009535750507724, 'p': 13}
  • id: 3098331
    {'charpoly_factorization': [[[8, 0, -66, 0, 54, 0, -14, 0, 1], 2]], 'hecke_orbit_code': 9009535750507724, 'p': 17}
  • id: 3098332
    {'charpoly_factorization': [[[3262922884, 0, 0, 0, 157342549, 0, 0, 0, 920035, 0, 0, 0, 1767, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009535750507724, 'p': 19}
  • id: 3098333
    {'charpoly_factorization': [[[484, 0, 2365, 0, 1215, 0, 83, 0, 1], 2]], 'hecke_orbit_code': 9009535750507724, 'p': 23}
  • id: 3098334
    {'charpoly_factorization': [[[-22, -33, -3, 5, 1], 4]], 'hecke_orbit_code': 9009535750507724, 'p': 29}
  • id: 3098335
    {'charpoly_factorization': [[[334084, 0, 0, 0, 312037, 0, 0, 0, 40567, 0, 0, 0, 1347, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009535750507724, 'p': 31}
  • id: 3098336
    {'charpoly_factorization': [[[784996, 65564, 2738, -5180, 3128, -74, 0, 0, 1], 2]], 'hecke_orbit_code': 9009535750507724, 'p': 37}
  • id: 3098337
    {'charpoly_factorization': [[[14178141184, 0, 0, 0, 5533018112, 0, 0, 0, 26979136, 0, 0, 0, 10308, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009535750507724, 'p': 41}
  • id: 3098338
    {'charpoly_factorization': [[[391876, 0, 109885, 0, 9007, 0, 183, 0, 1], 2]], 'hecke_orbit_code': 9009535750507724, 'p': 43}
  • id: 3098339
    {'charpoly_factorization': [[[1488209686084, 0, 0, 0, 53841772341, 0, 0, 0, 313380355, 0, 0, 0, 35495, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009535750507724, 'p': 47}
  • id: 3098340
    {'charpoly_factorization': [[[2074, -143, -113, 7, 1], 4]], 'hecke_orbit_code': 9009535750507724, 'p': 53}
  • id: 3098341
    {'charpoly_factorization': [[[78261181504, 0, 0, 0, 231367138704, 0, 0, 0, 129996400, 0, 0, 0, 21088, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009535750507724, 'p': 59}
  • id: 3098342
    {'charpoly_factorization': [[[86528, 0, 186272, 0, 11600, 0, 196, 0, 1], 2]], 'hecke_orbit_code': 9009535750507724, 'p': 61}
  • id: 3098343
    {'charpoly_factorization': [[[633616, 70048, 3872, -4560, 6152, 264, 8, -4, 1], 2]], 'hecke_orbit_code': 9009535750507724, 'p': 67}
  • id: 3098344
    {'charpoly_factorization': [[[502566724, 1210572, 1458, 27664, 56288, 582, 2, -2, 1], 2]], 'hecke_orbit_code': 9009535750507724, 'p': 71}
  • id: 3098345
    {'charpoly_factorization': [[[521284, 0, 0, 0, 2541285, 0, 0, 0, 431515, 0, 0, 0, 1423, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009535750507724, 'p': 73}
  • id: 3098346
    {'charpoly_factorization': [[[724, 53, -65, -1, 1], 4]], 'hecke_orbit_code': 9009535750507724, 'p': 79}
  • id: 3098347
    {'charpoly_factorization': [[[59341934404, 0, 0, 0, 9362370373, 0, 0, 0, 57033943, 0, 0, 0, 87363, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009535750507724, 'p': 83}
  • id: 3098348
    {'charpoly_factorization': [[[77940681873604, 0, 0, 0, 9049264966901, 0, 0, 0, 2004422315, 0, 0, 0, 101263, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009535750507724, 'p': 89}
  • id: 3098349
    {'charpoly_factorization': [[[408528258774724, 0, 0, 0, 1435075611973, 0, 0, 0, 562817267, 0, 0, 0, 46631, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009535750507724, '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': 35, 'hecke_orbit': 3, 'label': '3276.2.bi.c', 'level': 3276, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 32179801
    {'hecke_orbit_code': 9009535750507724, 'n': 1, 'trace_an': 16}
  • id: 32179802
    {'hecke_orbit_code': 9009535750507724, 'n': 2, 'trace_an': 0}
  • id: 32179803
    {'hecke_orbit_code': 9009535750507724, 'n': 3, 'trace_an': 0}
  • id: 32179804
    {'hecke_orbit_code': 9009535750507724, 'n': 4, 'trace_an': 0}
  • id: 32179805
    {'hecke_orbit_code': 9009535750507724, 'n': 5, 'trace_an': 0}
  • id: 32179806
    {'hecke_orbit_code': 9009535750507724, 'n': 6, 'trace_an': 0}
  • id: 32179807
    {'hecke_orbit_code': 9009535750507724, 'n': 7, 'trace_an': -2}
  • id: 32179808
    {'hecke_orbit_code': 9009535750507724, 'n': 8, 'trace_an': 0}
  • id: 32179809
    {'hecke_orbit_code': 9009535750507724, 'n': 9, 'trace_an': 0}
  • id: 32179810
    {'hecke_orbit_code': 9009535750507724, 'n': 10, 'trace_an': 0}
  • id: 32179811
    {'hecke_orbit_code': 9009535750507724, 'n': 11, 'trace_an': -12}
  • id: 32179812
    {'hecke_orbit_code': 9009535750507724, 'n': 12, 'trace_an': 0}
  • id: 32179813
    {'hecke_orbit_code': 9009535750507724, 'n': 13, 'trace_an': 0}
  • id: 32179814
    {'hecke_orbit_code': 9009535750507724, 'n': 14, 'trace_an': 0}
  • id: 32179815
    {'hecke_orbit_code': 9009535750507724, 'n': 15, 'trace_an': 0}
  • id: 32179816
    {'hecke_orbit_code': 9009535750507724, 'n': 16, 'trace_an': 0}
  • id: 32179817
    {'hecke_orbit_code': 9009535750507724, 'n': 17, 'trace_an': 0}
  • id: 32179818
    {'hecke_orbit_code': 9009535750507724, 'n': 18, 'trace_an': 0}
  • id: 32179819
    {'hecke_orbit_code': 9009535750507724, 'n': 19, 'trace_an': 0}
  • id: 32179820
    {'hecke_orbit_code': 9009535750507724, 'n': 20, 'trace_an': 0}
  • id: 32179821
    {'hecke_orbit_code': 9009535750507724, 'n': 21, 'trace_an': 0}
  • id: 32179822
    {'hecke_orbit_code': 9009535750507724, 'n': 22, 'trace_an': 0}
  • id: 32179823
    {'hecke_orbit_code': 9009535750507724, 'n': 23, 'trace_an': 0}
  • id: 32179824
    {'hecke_orbit_code': 9009535750507724, 'n': 24, 'trace_an': 0}
  • id: 32179825
    {'hecke_orbit_code': 9009535750507724, 'n': 25, 'trace_an': 0}
  • id: 32179826
    {'hecke_orbit_code': 9009535750507724, 'n': 26, 'trace_an': 0}
  • id: 32179827
    {'hecke_orbit_code': 9009535750507724, 'n': 27, 'trace_an': 0}
  • id: 32179828
    {'hecke_orbit_code': 9009535750507724, 'n': 28, 'trace_an': 0}
  • id: 32179829
    {'hecke_orbit_code': 9009535750507724, 'n': 29, 'trace_an': -20}
  • id: 32179830
    {'hecke_orbit_code': 9009535750507724, 'n': 30, 'trace_an': 0}
  • id: 32179831
    {'hecke_orbit_code': 9009535750507724, 'n': 31, 'trace_an': 0}
  • id: 32179832
    {'hecke_orbit_code': 9009535750507724, 'n': 32, 'trace_an': 0}
  • id: 32179833
    {'hecke_orbit_code': 9009535750507724, 'n': 33, 'trace_an': 0}
  • id: 32179834
    {'hecke_orbit_code': 9009535750507724, 'n': 34, 'trace_an': 0}
  • id: 32179835
    {'hecke_orbit_code': 9009535750507724, 'n': 35, 'trace_an': 40}
  • id: 32179836
    {'hecke_orbit_code': 9009535750507724, 'n': 36, 'trace_an': 0}
  • id: 32179837
    {'hecke_orbit_code': 9009535750507724, 'n': 37, 'trace_an': 0}
  • id: 32179838
    {'hecke_orbit_code': 9009535750507724, 'n': 38, 'trace_an': 0}
  • id: 32179839
    {'hecke_orbit_code': 9009535750507724, 'n': 39, 'trace_an': 0}
  • id: 32179840
    {'hecke_orbit_code': 9009535750507724, 'n': 40, 'trace_an': 0}
  • id: 32179841
    {'hecke_orbit_code': 9009535750507724, 'n': 41, 'trace_an': 0}
  • id: 32179842
    {'hecke_orbit_code': 9009535750507724, 'n': 42, 'trace_an': 0}
  • id: 32179843
    {'hecke_orbit_code': 9009535750507724, 'n': 43, 'trace_an': 0}
  • id: 32179844
    {'hecke_orbit_code': 9009535750507724, 'n': 44, 'trace_an': 0}
  • id: 32179845
    {'hecke_orbit_code': 9009535750507724, 'n': 45, 'trace_an': 0}
  • id: 32179846
    {'hecke_orbit_code': 9009535750507724, 'n': 46, 'trace_an': 0}
  • id: 32179847
    {'hecke_orbit_code': 9009535750507724, 'n': 47, 'trace_an': 0}
  • id: 32179848
    {'hecke_orbit_code': 9009535750507724, 'n': 48, 'trace_an': 0}
  • id: 32179849
    {'hecke_orbit_code': 9009535750507724, 'n': 49, 'trace_an': 0}
  • id: 32179850
    {'hecke_orbit_code': 9009535750507724, 'n': 50, 'trace_an': 0}
  • id: 32179851
    {'hecke_orbit_code': 9009535750507724, 'n': 51, 'trace_an': 0}
  • id: 32179852
    {'hecke_orbit_code': 9009535750507724, 'n': 52, 'trace_an': 0}
  • id: 32179853
    {'hecke_orbit_code': 9009535750507724, 'n': 53, 'trace_an': -28}
  • id: 32179854
    {'hecke_orbit_code': 9009535750507724, 'n': 54, 'trace_an': 0}
  • id: 32179855
    {'hecke_orbit_code': 9009535750507724, 'n': 55, 'trace_an': 0}
  • id: 32179856
    {'hecke_orbit_code': 9009535750507724, 'n': 56, 'trace_an': 0}
  • id: 32179857
    {'hecke_orbit_code': 9009535750507724, 'n': 57, 'trace_an': 0}
  • id: 32179858
    {'hecke_orbit_code': 9009535750507724, 'n': 58, 'trace_an': 0}
  • id: 32179859
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  • id: 32180057
    {'hecke_orbit_code': 9009535750507724, 'n': 991, 'trace_an': -56}
  • id: 32180058
    {'hecke_orbit_code': 9009535750507724, 'n': 997, 'trace_an': 0}