Embedded newform data - 2208.2.b.c.689.4

Formats: - HTML - YAML - JSON - 2024-06-08T11:05:54.637796

• 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': 8832, 'analytic_conductor': 17.630968766298707, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 552, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [2208, 2, [415, 1381, 737, 97], [2, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 689, 'dim': 80, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [1470208, 0, 12219392, 0, 20406400, 0, 15588864, 0, 6698064, 0, 1759816, 0, 292000, 0, 30552, 0, 1942, 0, 68, 0, 1]], [29, [36691771392, 0, -268881887232, 0, 168914128896, 0, -43850999808, 0, 6203774016, 0, -531264384, 0, 28631892, 0, -969353, 0, 19775, 0, -219, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007268007774368, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 8, 2, 1, 2, 0], [1, 1, 23, 2, -1, 2, 0], [1, 1, 24, 8, -1, 2, 0], [1, 1, 69, 3, 1, 2, 0], [1, 1, 184, 5, -1, 2, 0], [1, 1, 552, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2208.2.b.c', 'level': 2208, '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, 23], 'level_radical': 138, 'minimal_twist': '552.2.b.c', 'prim_orbit_index': 2, 'related_objects': [], 'relative_dim': 80, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2208.2.b', 'trace_display': [0, 0, 0, 0], 'traces': [80, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -32, 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, 12, 0, 0, 0, 0, 0, -92, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 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, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 32, 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, 76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 60, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 348, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, -92, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -128, 0, -28, 0, 0, 0, 0, 0, 348, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, -156, 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, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, -272, 0, 236, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, 188, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 164, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 488, 0, 0, 0, 0, 0, 0, 0, 392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -684, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, -692, 0, 0, 0, 0, 0, 0, 0, 0, 0, -568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 452, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -296, 0, 16, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, -568, 0, 0, 0, 0, 0, 648, 0, -256, 0, 0, 0, 0, 0, -220, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1056, 0, -196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, -64, 0, 0, 0, 0, 0, -364, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 248, 0, 0, 0, 0, 0, 296, 0, -92, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 344, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, -372, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 400, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -716, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -544, 0, 0, 0, 0, 0, -944, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, -868, 0, 0, 0, 0, 0, -672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 764, 0, 0, 0, 0, 0, 0, 0, 0, 0, 768, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 580, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, -872, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 304, 0, 228, 0, 0, 0, 0, 0, -552, 0, 0, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, -360, 0, 160, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 616, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 496, 0, -480, 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, 740, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -944, 0, -420, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 680, 0, 0, 0, 0, 0, -560, 0, 0, 0, 0, 0, 0, 0, 552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 420, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, -776, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, 0, 0, 188, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -484, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 528, 0, -80, 0, 0, 0, 0, 0, 952, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -772, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, 0, 0, -496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 348, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_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], [-0.9920743769730587, 0.12565202168495962], [0.0, 0.0], [0.0, 0.5997656220085411], [0.0, 0.0], [0.0, 1.0613111001523454], [0.0, 0.0], [0.9684231388929648, -0.24931230225702314], [0.0, 0.0], [0.0, 1.8614637941254675], [0.0, 0.0], [0.0, 1.3431091356312905], [0.0, 0.0], [-0.0753617629425105, -0.5950121057839823], [0.0, 0.0], [-1.126915163328623, 0.0], [0.0, 0.0], [-1.2447929437873855, 0.0], [0.0, 0.0], [-0.13335588537083087, -1.0528995484582295], [0.0, 0.0], [-0.630691814826791, 0.7760333979349656], [0.0, 0.0], [0.6402811986567079, 0.0], [0.0, 0.0], [-0.9294211873540053, 0.3690206721817506], [0.0, 0.0], [0.3662599789433347, 0.0], [0.0, 0.0], [0.3743225580316822, 0.0], [0.0, 0.0], [-0.23389668902522046, -1.846710533814929], [0.0, 0.0], [-0.6365379121274405, 0.0], [0.0, 0.0], [1.1086227057293554, 0.0], [0.0, 0.0], [-0.1687643782356103, -1.332464158938236], [0.0, 0.0], [0.0, -1.0253121806176444], [0.0, 0.0], [1.336089186942268, 0.0], [0.0, 0.0], 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-0.23565476323206427, 0.1079233315204574, -0.43612187851995776, -0.46162756943592825, -0.3562970401141118, 0.09357959644890947, -0.3124816420953115, -0.31244800577552573, -0.28436651372986244, -0.37196470433083506, -0.25129048203468934, 0.14454035987332062, -0.2093153476437806, -0.236738654350153, -0.12257392294984638, -0.25040637839946994, -0.21200378420415963, -0.24166595003169133, 0.041460918894422466, 0.08233086141576496, 0.12452021076767647, -0.33893649375512647, 0.15548420336434, -0.27059882490932946, -0.47297782008078626, -0.2663783400204288, -0.05501535361016429, -0.18941262413589033, -0.4569244528486261, -0.17986438817650702, -0.3956066093355456, -0.35638037202857525, -0.2741226321537476, -0.3162452016289705, -0.2756340500971452, -0.38992027415974023, -0.37009621742904536, 0.09489051416092988, -0.4651576146603058, -0.4173156421718321, -0.19669881239266004, -0.4046853698287992, -0.4819956307909577, 0.054041762093463376, -0.4395752871268821, -0.3561816459301741, -0.36512792939233585, 0.016416552710388728, 0.0039461742120681965, -0.46991612208641786, 0.006190365998703627, -0.41686962021718593, -0.4217957138384945, -0.4829872509967767, -0.46404829544436516, -0.3245880679799093, -0.2404883886150584, 0.01743808156967644, -0.43854027163933595, 0.019691500708481368, -0.3514852708174709], 'char_orbit_index': 2, 'conrey_index': 689, 'dual_conrey_index': 689, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 4, 'embedding_m': 4, 'hecke_orbit': 3, 'hecke_orbit_code': 9007268007774368, 'label': '2208.2.b.c.689.4', 'level': 2208, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 8832, 'analytic_conductor': 17.630968766298707, 'char_conductor': 552, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [2208, 2, [415, 1381, 737, 97], [2, 1, 1, 1]], 'conrey_index': 689, 'cusp_dim': 368, 'dim': 92, 'eis_dim': 32, 'eis_new_dim': 8, 'hecke_cutter_primes': [5, 29], 'hecke_orbit_code': 68753033376, 'hecke_orbit_dims': [6, 6, 80], 'label': '2208.2.b', 'level': 2208, '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, 23], 'level_radical': 138, 'mf_dim': 400, 'mf_new_dim': 100, 'num_forms': 3, 'prim_orbit_index': 2, 'relative_dim': 92, 'sturm_bound': 768, 'trace_bound': 27, 'trace_display': [0, 0, 0, 0], 'traces': [92, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, -32, 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, 12, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 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, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 32, 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, 76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 60, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, -32, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -128, 0, 56, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, -24, 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, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, -272, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 488, 0, 0, 0, 0, 0, 0, 0, 392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -348, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, -500, 0, 0, 0, 0, 0, 0, 0, 0, 0, -220, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -296, 0, 16, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, -196, 0, 0, 0, 0, 0, 648, 0, -256, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, 104, 0, 0, 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: 40576145
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 80, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007268007774368, 'source_is_minimal': False, 'source_label': '2208.2.b.c.689.4', 'source_level': 2208, 'target_conrey_index': 689, 'target_dim': 80, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007268007774368, 'target_is_minimal': False, 'target_label': '2208.2.b.c.689.4', 'target_level': 2208, 'twist_class_label': '552.2.b.c.413.17', 'twist_class_level': 552, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 40576146
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 80, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007268007774368, 'source_is_minimal': False, 'source_label': '2208.2.b.c.689.4', 'source_level': 2208, 'target_conrey_index': 689, 'target_dim': 80, 'target_embedding_index': 79, 'target_hecke_orbit_code': 9007268007774368, 'target_is_minimal': False, 'target_label': '2208.2.b.c.689.79', 'target_level': 2208, 'twist_class_label': '552.2.b.c.413.17', 'twist_class_level': 552, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 40576147
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 80, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007268007774368, 'source_is_minimal': False, 'source_label': '2208.2.b.c.689.4', 'source_level': 2208, 'target_conrey_index': 413, 'target_dim': 80, 'target_embedding_index': 18, 'target_hecke_orbit_code': 9007268007772712, 'target_is_minimal': True, 'target_label': '552.2.b.c.413.18', 'target_level': 552, 'twist_class_label': '552.2.b.c.413.17', 'twist_class_level': 552, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 40576148
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 80, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007268007774368, 'source_is_minimal': False, 'source_label': '2208.2.b.c.689.4', 'source_level': 2208, 'target_conrey_index': 413, 'target_dim': 80, 'target_embedding_index': 61, 'target_hecke_orbit_code': 9007268007772712, 'target_is_minimal': True, 'target_label': '552.2.b.c.413.61', 'target_level': 552, 'twist_class_label': '552.2.b.c.413.17', 'twist_class_level': 552, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 40576149
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 80, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007268007774368, 'source_is_minimal': False, 'source_label': '2208.2.b.c.689.4', 'source_level': 2208, 'target_conrey_index': 689, 'target_dim': 80, 'target_embedding_index': 77, 'target_hecke_orbit_code': 9007268007774368, 'target_is_minimal': False, 'target_label': '2208.2.b.c.689.77', 'target_level': 2208, 'twist_class_label': '552.2.b.c.413.17', 'twist_class_level': 552, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 40576150
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 80, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007268007774368, 'source_is_minimal': False, 'source_label': '2208.2.b.c.689.4', 'source_level': 2208, 'target_conrey_index': 413, 'target_dim': 80, 'target_embedding_index': 63, 'target_hecke_orbit_code': 9007268007772712, 'target_is_minimal': True, 'target_label': '552.2.b.c.413.63', 'target_level': 552, 'twist_class_label': '552.2.b.c.413.17', 'twist_class_level': 552, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 40576151
    {'conductor': 23, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 80, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007268007774368, 'source_is_minimal': False, 'source_label': '2208.2.b.c.689.4', 'source_level': 2208, 'target_conrey_index': 689, 'target_dim': 80, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007268007774368, 'target_is_minimal': False, 'target_label': '2208.2.b.c.689.3', 'target_level': 2208, 'twist_class_label': '552.2.b.c.413.17', 'twist_class_level': 552, 'twisting_char_label': '23.22', 'twisting_conrey_index': 22, 'weight': 2}
  • id: 40576152
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 80, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007268007774368, 'source_is_minimal': False, 'source_label': '2208.2.b.c.689.4', 'source_level': 2208, 'target_conrey_index': 689, 'target_dim': 80, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268007774368, 'target_is_minimal': False, 'target_label': '2208.2.b.c.689.2', 'target_level': 2208, 'twist_class_label': '552.2.b.c.413.17', 'twist_class_level': 552, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 40576153
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 80, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007268007774368, 'source_is_minimal': False, 'source_label': '2208.2.b.c.689.4', 'source_level': 2208, 'target_conrey_index': 413, 'target_dim': 80, 'target_embedding_index': 20, 'target_hecke_orbit_code': 9007268007772712, 'target_is_minimal': True, 'target_label': '552.2.b.c.413.20', 'target_level': 552, 'twist_class_label': '552.2.b.c.413.17', 'twist_class_level': 552, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 40576154
    {'conductor': 69, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 80, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007268007774368, 'source_is_minimal': False, 'source_label': '2208.2.b.c.689.4', 'source_level': 2208, 'target_conrey_index': 689, 'target_dim': 80, 'target_embedding_index': 80, 'target_hecke_orbit_code': 9007268007774368, 'target_is_minimal': False, 'target_label': '2208.2.b.c.689.80', 'target_level': 2208, 'twist_class_label': '552.2.b.c.413.17', 'twist_class_level': 552, 'twisting_char_label': '69.68', 'twisting_conrey_index': 68, 'weight': 2}
  • id: 40576155
    {'conductor': 92, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 80, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007268007774368, 'source_is_minimal': False, 'source_label': '2208.2.b.c.689.4', 'source_level': 2208, 'target_conrey_index': 413, 'target_dim': 80, 'target_embedding_index': 17, 'target_hecke_orbit_code': 9007268007772712, 'target_is_minimal': True, 'target_label': '552.2.b.c.413.17', 'target_level': 552, 'twist_class_label': '552.2.b.c.413.17', 'twist_class_level': 552, 'twisting_char_label': '92.91', 'twisting_conrey_index': 91, 'weight': 2}
  • id: 40576156
    {'conductor': 184, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 80, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007268007774368, 'source_is_minimal': False, 'source_label': '2208.2.b.c.689.4', 'source_level': 2208, 'target_conrey_index': 689, 'target_dim': 80, 'target_embedding_index': 78, 'target_hecke_orbit_code': 9007268007774368, 'target_is_minimal': False, 'target_label': '2208.2.b.c.689.78', 'target_level': 2208, 'twist_class_label': '552.2.b.c.413.17', 'twist_class_level': 552, 'twisting_char_label': '184.45', 'twisting_conrey_index': 45, 'weight': 2}
  • id: 40576157
    {'conductor': 184, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 80, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007268007774368, 'source_is_minimal': False, 'source_label': '2208.2.b.c.689.4', 'source_level': 2208, 'target_conrey_index': 413, 'target_dim': 80, 'target_embedding_index': 62, 'target_hecke_orbit_code': 9007268007772712, 'target_is_minimal': True, 'target_label': '552.2.b.c.413.62', 'target_level': 552, 'twist_class_label': '552.2.b.c.413.17', 'twist_class_level': 552, 'twisting_char_label': '184.91', 'twisting_conrey_index': 91, 'weight': 2}
  • id: 40576158
    {'conductor': 276, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 80, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007268007774368, 'source_is_minimal': False, 'source_label': '2208.2.b.c.689.4', 'source_level': 2208, 'target_conrey_index': 413, 'target_dim': 80, 'target_embedding_index': 64, 'target_hecke_orbit_code': 9007268007772712, 'target_is_minimal': True, 'target_label': '552.2.b.c.413.64', 'target_level': 552, 'twist_class_label': '552.2.b.c.413.17', 'twist_class_level': 552, 'twisting_char_label': '276.275', 'twisting_conrey_index': 275, 'weight': 2}
  • id: 40576159
    {'conductor': 552, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 80, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007268007774368, 'source_is_minimal': False, 'source_label': '2208.2.b.c.689.4', 'source_level': 2208, 'target_conrey_index': 413, 'target_dim': 80, 'target_embedding_index': 19, 'target_hecke_orbit_code': 9007268007772712, 'target_is_minimal': True, 'target_label': '552.2.b.c.413.19', 'target_level': 552, 'twist_class_label': '552.2.b.c.413.17', 'twist_class_level': 552, 'twisting_char_label': '552.275', 'twisting_conrey_index': 275, 'weight': 2}
  • id: 40576160
    {'conductor': 552, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 80, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9007268007774368, 'source_is_minimal': False, 'source_label': '2208.2.b.c.689.4', 'source_level': 2208, 'target_conrey_index': 689, 'target_dim': 80, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007268007774368, 'target_is_minimal': False, 'target_label': '2208.2.b.c.689.1', 'target_level': 2208, 'twist_class_label': '552.2.b.c.413.17', 'twist_class_level': 552, 'twisting_char_label': '552.413', 'twisting_conrey_index': 413, 'weight': 2}
• hecke_orbit_code 9007268007774368 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 2, 'hecke_orbit': 3, 'label': '2208.2.b.c', 'level': 2208, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29636437
    {'hecke_orbit_code': 9007268007774368, 'n': 1, 'trace_an': 80}
  • id: 29636438
    {'hecke_orbit_code': 9007268007774368, 'n': 2, 'trace_an': 0}
  • id: 29636439
    {'hecke_orbit_code': 9007268007774368, 'n': 3, 'trace_an': 0}
  • id: 29636440
    {'hecke_orbit_code': 9007268007774368, 'n': 4, 'trace_an': 0}
  • id: 29636441
    {'hecke_orbit_code': 9007268007774368, 'n': 5, 'trace_an': 0}
  • id: 29636442
    {'hecke_orbit_code': 9007268007774368, 'n': 6, 'trace_an': 0}
  • id: 29636443
    {'hecke_orbit_code': 9007268007774368, 'n': 7, 'trace_an': 0}
  • id: 29636444
    {'hecke_orbit_code': 9007268007774368, 'n': 8, 'trace_an': 0}
  • id: 29636445
    {'hecke_orbit_code': 9007268007774368, 'n': 9, 'trace_an': -4}
  • id: 29636446
    {'hecke_orbit_code': 9007268007774368, 'n': 10, 'trace_an': 0}
  • id: 29636447
    {'hecke_orbit_code': 9007268007774368, 'n': 11, 'trace_an': 0}
  • id: 29636448
    {'hecke_orbit_code': 9007268007774368, 'n': 12, 'trace_an': 0}
  • id: 29636449
    {'hecke_orbit_code': 9007268007774368, 'n': 13, 'trace_an': 0}
  • id: 29636450
    {'hecke_orbit_code': 9007268007774368, 'n': 14, 'trace_an': 0}
  • id: 29636451
    {'hecke_orbit_code': 9007268007774368, 'n': 15, 'trace_an': 0}
  • id: 29636452
    {'hecke_orbit_code': 9007268007774368, 'n': 16, 'trace_an': 0}
  • id: 29636453
    {'hecke_orbit_code': 9007268007774368, 'n': 17, 'trace_an': 0}
  • id: 29636454
    {'hecke_orbit_code': 9007268007774368, 'n': 18, 'trace_an': 0}
  • id: 29636455
    {'hecke_orbit_code': 9007268007774368, 'n': 19, 'trace_an': 0}
  • id: 29636456
    {'hecke_orbit_code': 9007268007774368, 'n': 20, 'trace_an': 0}
  • id: 29636457
    {'hecke_orbit_code': 9007268007774368, 'n': 21, 'trace_an': 0}
  • id: 29636458
    {'hecke_orbit_code': 9007268007774368, 'n': 22, 'trace_an': 0}
  • id: 29636459
    {'hecke_orbit_code': 9007268007774368, 'n': 23, 'trace_an': 0}
  • id: 29636460
    {'hecke_orbit_code': 9007268007774368, 'n': 24, 'trace_an': 0}
  • id: 29636461
    {'hecke_orbit_code': 9007268007774368, 'n': 25, 'trace_an': -144}
  • id: 29636462
    {'hecke_orbit_code': 9007268007774368, 'n': 26, 'trace_an': 0}
  • id: 29636463
    {'hecke_orbit_code': 9007268007774368, 'n': 27, 'trace_an': 0}
  • id: 29636464
    {'hecke_orbit_code': 9007268007774368, 'n': 28, 'trace_an': 0}
  • id: 29636465
    {'hecke_orbit_code': 9007268007774368, 'n': 29, 'trace_an': 0}
  • id: 29636466
    {'hecke_orbit_code': 9007268007774368, 'n': 30, 'trace_an': 0}
  • id: 29636467
    {'hecke_orbit_code': 9007268007774368, 'n': 31, 'trace_an': 24}
  • id: 29636468
    {'hecke_orbit_code': 9007268007774368, 'n': 32, 'trace_an': 0}
  • id: 29636469
    {'hecke_orbit_code': 9007268007774368, 'n': 33, 'trace_an': 0}
  • id: 29636470
    {'hecke_orbit_code': 9007268007774368, 'n': 34, 'trace_an': 0}
  • id: 29636471
    {'hecke_orbit_code': 9007268007774368, 'n': 35, 'trace_an': 0}
  • id: 29636472
    {'hecke_orbit_code': 9007268007774368, 'n': 36, 'trace_an': 0}
  • id: 29636473
    {'hecke_orbit_code': 9007268007774368, 'n': 37, 'trace_an': 0}
  • id: 29636474
    {'hecke_orbit_code': 9007268007774368, 'n': 38, 'trace_an': 0}
  • id: 29636475
    {'hecke_orbit_code': 9007268007774368, 'n': 39, 'trace_an': -68}
  • id: 29636476
    {'hecke_orbit_code': 9007268007774368, 'n': 40, 'trace_an': 0}
  • id: 29636477
    {'hecke_orbit_code': 9007268007774368, 'n': 41, 'trace_an': 0}
  • id: 29636478
    {'hecke_orbit_code': 9007268007774368, 'n': 42, 'trace_an': 0}
  • id: 29636479
    {'hecke_orbit_code': 9007268007774368, 'n': 43, 'trace_an': 0}
  • id: 29636480
    {'hecke_orbit_code': 9007268007774368, 'n': 44, 'trace_an': 0}
  • id: 29636481
    {'hecke_orbit_code': 9007268007774368, 'n': 45, 'trace_an': 0}
  • id: 29636482
    {'hecke_orbit_code': 9007268007774368, 'n': 46, 'trace_an': 0}
  • id: 29636483
    {'hecke_orbit_code': 9007268007774368, 'n': 47, 'trace_an': 0}
  • id: 29636484
    {'hecke_orbit_code': 9007268007774368, 'n': 48, 'trace_an': 0}
  • id: 29636485
    {'hecke_orbit_code': 9007268007774368, 'n': 49, 'trace_an': -160}
  • id: 29636486
    {'hecke_orbit_code': 9007268007774368, 'n': 50, 'trace_an': 0}
  • id: 29636487
    {'hecke_orbit_code': 9007268007774368, 'n': 51, 'trace_an': 0}
  • id: 29636488
    {'hecke_orbit_code': 9007268007774368, 'n': 52, 'trace_an': 0}
  • id: 29636489
    {'hecke_orbit_code': 9007268007774368, 'n': 53, 'trace_an': 0}
  • id: 29636490
    {'hecke_orbit_code': 9007268007774368, 'n': 54, 'trace_an': 0}
  • id: 29636491
    {'hecke_orbit_code': 9007268007774368, 'n': 55, 'trace_an': -32}
  • id: 29636492
    {'hecke_orbit_code': 9007268007774368, 'n': 56, 'trace_an': 0}
  • id: 29636493
    {'hecke_orbit_code': 9007268007774368, 'n': 57, 'trace_an': 0}
  • id: 29636494
    {'hecke_orbit_code': 9007268007774368, 'n': 58, 'trace_an': 0}
  • id: 29636495
    {'hecke_orbit_code': 9007268007774368, 'n': 59, 'trace_an': 0}
  • id: 29636496
    {'hecke_orbit_code': 9007268007774368, 'n': 60, 'trace_an': 0}
  • id: 29636497
    {'hecke_orbit_code': 9007268007774368, 'n': 61, 'trace_an': 0}
  • id: 29636498
    {'hecke_orbit_code': 9007268007774368, 'n': 62, 'trace_an': 0}
  • id: 29636499
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  • id: 29636500
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  • id: 29636513
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  • id: 29636516
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  • id: 29636517
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  • id: 29636519
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  • id: 29636521
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  • id: 29636522
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  • id: 29636523
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  • id: 29636524
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  • id: 29636525
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  • id: 29636526
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  • id: 29636528
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  • id: 29636544
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  • id: 29636575
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  • id: 29636576
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  • id: 29636601
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  • id: 29636602
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  • id: 29636606
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  • id: 29636607
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  • id: 29636608
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  • id: 29636610
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  • id: 29636611
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  • id: 29636612
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  • id: 29636613
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  • id: 29636614
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  • id: 29636615
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  • id: 29636616
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  • id: 29636617
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  • id: 29636618
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  • id: 29636620
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  • id: 29636621
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  • id: 29636622
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  • id: 29636623
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  • id: 29636624
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  • id: 29636626
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  • id: 29636627
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  • id: 29636628
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  • id: 29636629
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  • id: 29636630
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  • id: 29636631
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  • id: 29636632
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  • id: 29636633
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  • id: 29636634
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  • id: 29636635
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  • id: 29636636
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  • id: 29636637
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  • id: 29636638
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  • id: 29636639
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  • id: 29636641
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