Embedded newform data - 2016.2.cp.b.17.25

Formats: - HTML - YAML - JSON - 2025-09-11T10:47:12.615378

• 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': 8064, 'analytic_conductor': 16.097841047490125, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 168, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 68, 'char_orbit_label': 'cp', 'char_order': 6, 'char_parity': 1, 'char_values': [2016, 6, [127, 1765, 1793, 577], [6, 3, 3, 1]], 'cm_discs': [], 'conrey_index': 17, 'dim': 56, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [186624, 0, -1762560, 0, 12848256, 0, -29457024, 0, 45801904, 0, -42674992, 0, 28587144, 0, -12338064, 0, 3879393, 0, -820581, 0, 126330, 0, -12429, 0, 882, 0, -37, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4508203865868256, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 7, 4, -1, 6, 0], [1, 1, 8, 2, 1, 2, 0], [1, 1, 21, 7, 1, 6, 0], [1, 1, 24, 8, -1, 2, 0], [1, 1, 56, 10, -1, 6, 0], [1, 1, 168, 27, 1, 6, 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': '2016.2.cp.b', 'level': 2016, '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], 'level_radical': 42, 'minimal_twist': '504.2.ch.b', 'prim_orbit_index': 27, 'related_objects': [], 'relative_dim': 28, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2016.2.cp', 'trace_display': [0, 0, 0, 20], 'traces': [56, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 36, 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, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 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, -276, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, -376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -328, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, -348, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 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, 180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 148, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 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, 0, 0, -60, 0, 0, 0, 0, 0, -792, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 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, 0, 0, 0, 0, 0, 0, 504, 0, 0, 0, 0, 0, -212, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 792, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 548, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 136, 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, 32, 0, 0, 0, 0, 0, -808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 408, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -236, 0, 0, 0, 0, 0, 36, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 308, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 124, 0, 0, 0, 0, 0, 536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -328, 0, 0, 0, 0, 0, 468, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 248, 0, 0, 0, 0, 0, 648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 332, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 552, 0, 0, 0, 0, 0, -308, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, -652, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 284, 0, 0, 0, 0, 0, -636, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, -356, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, -92, 0, 0, 0, 0, 0, 1528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 348, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -140, 0, 0, 0, 0, 0, 324, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 492, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -588, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1656, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, -976, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1140, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -760, 0, 0, 0, 0, 0, -924, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, -348, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -876, 0, 0, 0, 0, 0, -428, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 780, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 516, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -936, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 144, 0, 0, 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, 136, 0, 0, 0, 0, 0, -2000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 504, 0, 0, 0, 0, 0, -108, 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], [1.4132284096063024, -0.8159278027126253], [0.0, 0.0], [0.6230275896978876, -0.7821998609532225], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.06033944230754078, -0.10451097977703169], [0.0, 0.0], [-0.16125648157553954, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.5520187048039256, 0.9561244434487649], [0.0, 0.0], [0.5579887145172018, 0.966464803593839], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2951219618584433, -0.7477390133123685], [0.0, 0.0], [0.8314763584789058, -1.440159298177818], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2423150437123083, 0.0], [0.0, 0.0], [0.5132211336208294, 0.2963083596497908], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.24226167589990977, -1.613772597780734], [0.0, 0.0], [-0.31774695510123524, 0.1834512900618821], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7051111667141692, 0.0], [0.0, 0.0], [0.0, -0.6247537591379245], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.41774097549994516, 0.7235485939692906], [0.0, 0.0], 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-0.15849090324320128, -0.4969576032969858, -0.12016660478508934, -0.22922962937750832, -0.21994583737377843, 0.0909142641766286, -0.44702497653019657, -0.11545667481494806, -0.255027731073554, -0.2235627590803378, -0.12130788907587925, -0.4994129893313022, -0.36057269744094805, -0.11108093234556002, -0.1574286845536366, -0.04762823184121957, -0.2772324938671415, -0.43951301992254527, -0.4671780467307367, -0.24482133831294148, -0.11599060173494502, 0.05619245475042599, -0.4050805242175064, 0.17020521847777123, -0.1908498594978675, -0.29911100855320105, -0.15438096096098436, -0.34207823402288234, -0.07109937461859248, -0.3662161631278194, -0.3082068749570667, -0.4157900496644577, -0.3160418524175734, -0.34043261525167073, -0.3477256877296803, -0.44572463622534475, -0.14484285701017846, -0.34320010881284957, -0.14980630919011184, -0.3783720847122088], 'char_orbit_index': 68, 'conrey_index': 17, 'dual_conrey_index': 593, 'dual_embedding_index': 25, 'dual_embedding_m': 53, 'embedding_index': 25, 'embedding_m': 25, 'hecke_orbit': 2, 'hecke_orbit_code': 4508203865868256, 'label': '2016.2.cp.b.17.25', 'level': 2016, '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': 8064, 'analytic_conductor': 16.097841047490125, 'char_conductor': 168, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 68, 'char_orbit_label': 'cp', 'char_order': 6, 'char_parity': 1, 'char_values': [2016, 6, [127, 1765, 1793, 577], [6, 3, 3, 1]], 'conrey_index': 17, 'cusp_dim': 704, 'dim': 64, 'eis_dim': 128, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 4604238497760, 'hecke_orbit_dims': [8, 56], 'label': '2016.2.cp', 'level': 2016, '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], 'level_radical': 42, 'mf_dim': 832, 'mf_new_dim': 64, 'num_forms': 2, 'prim_orbit_index': 27, 'relative_dim': 32, 'sturm_bound': 768, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 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, -16, 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, 160, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 96, 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, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, -192, 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, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 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, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -336, 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, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 864, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -704, 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], '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: 39854526
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 56, 'source_embedding_index': 25, 'source_hecke_orbit_code': 4508203865868256, 'source_is_minimal': False, 'source_label': '2016.2.cp.b.17.25', 'source_level': 2016, 'target_conrey_index': 17, 'target_dim': 56, 'target_embedding_index': 25, 'target_hecke_orbit_code': 4508203865868256, 'target_is_minimal': False, 'target_label': '2016.2.cp.b.17.25', 'target_level': 2016, 'twist_class_label': '504.2.ch.b.269.3', 'twist_class_level': 504, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 39854527
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 56, 'source_embedding_index': 25, 'source_hecke_orbit_code': 4508203865868256, 'source_is_minimal': False, 'source_label': '2016.2.cp.b.17.25', 'source_level': 2016, 'target_conrey_index': 17, 'target_dim': 56, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4508203865868256, 'target_is_minimal': False, 'target_label': '2016.2.cp.b.17.3', 'target_level': 2016, 'twist_class_label': '504.2.ch.b.269.3', 'twist_class_level': 504, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 39854528
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 56, 'source_embedding_index': 25, 'source_hecke_orbit_code': 4508203865868256, 'source_is_minimal': False, 'source_label': '2016.2.cp.b.17.25', 'source_level': 2016, 'target_conrey_index': 269, 'target_dim': 56, 'target_embedding_index': 26, 'target_hecke_orbit_code': 4507654110052856, 'target_is_minimal': True, 'target_label': '504.2.ch.b.269.26', 'target_level': 504, 'twist_class_label': '504.2.ch.b.269.3', 'twist_class_level': 504, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 39854529
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 56, 'source_embedding_index': 25, 'source_hecke_orbit_code': 4508203865868256, 'source_is_minimal': False, 'source_label': '2016.2.cp.b.17.25', 'source_level': 2016, 'target_conrey_index': 593, 'target_dim': 56, 'target_embedding_index': 26, 'target_hecke_orbit_code': 4508203865868256, 'target_is_minimal': False, 'target_label': '2016.2.cp.b.593.26', 'target_level': 2016, 'twist_class_label': '504.2.ch.b.269.3', 'twist_class_level': 504, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 39854530
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 56, 'source_embedding_index': 25, 'source_hecke_orbit_code': 4508203865868256, 'source_is_minimal': False, 'source_label': '2016.2.cp.b.17.25', 'source_level': 2016, 'target_conrey_index': 269, 'target_dim': 56, 'target_embedding_index': 21, 'target_hecke_orbit_code': 4507654110052856, 'target_is_minimal': True, 'target_label': '504.2.ch.b.269.21', 'target_level': 504, 'twist_class_label': '504.2.ch.b.269.3', 'twist_class_level': 504, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 39854531
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 56, 'source_embedding_index': 25, 'source_hecke_orbit_code': 4508203865868256, 'source_is_minimal': False, 'source_label': '2016.2.cp.b.17.25', 'source_level': 2016, 'target_conrey_index': 17, 'target_dim': 56, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4508203865868256, 'target_is_minimal': False, 'target_label': '2016.2.cp.b.17.4', 'target_level': 2016, 'twist_class_label': '504.2.ch.b.269.3', 'twist_class_level': 504, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 39854532
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 56, 'source_embedding_index': 25, 'source_hecke_orbit_code': 4508203865868256, 'source_is_minimal': False, 'source_label': '2016.2.cp.b.17.25', 'source_level': 2016, 'target_conrey_index': 269, 'target_dim': 56, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4507654110052856, 'target_is_minimal': True, 'target_label': '504.2.ch.b.269.3', 'target_level': 504, 'twist_class_label': '504.2.ch.b.269.3', 'twist_class_level': 504, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 39854533
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 56, 'source_embedding_index': 25, 'source_hecke_orbit_code': 4508203865868256, 'source_is_minimal': False, 'source_label': '2016.2.cp.b.17.25', 'source_level': 2016, 'target_conrey_index': 593, 'target_dim': 56, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4508203865868256, 'target_is_minimal': False, 'target_label': '2016.2.cp.b.593.4', 'target_level': 2016, 'twist_class_label': '504.2.ch.b.269.3', 'twist_class_level': 504, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 39854534
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 56, 'source_embedding_index': 25, 'source_hecke_orbit_code': 4508203865868256, 'source_is_minimal': False, 'source_label': '2016.2.cp.b.17.25', 'source_level': 2016, 'target_conrey_index': 17, 'target_dim': 56, 'target_embedding_index': 26, 'target_hecke_orbit_code': 4508203865868256, 'target_is_minimal': False, 'target_label': '2016.2.cp.b.17.26', 'target_level': 2016, 'twist_class_label': '504.2.ch.b.269.3', 'twist_class_level': 504, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 39854535
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 56, 'source_embedding_index': 25, 'source_hecke_orbit_code': 4508203865868256, 'source_is_minimal': False, 'source_label': '2016.2.cp.b.17.25', 'source_level': 2016, 'target_conrey_index': 269, 'target_dim': 56, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4507654110052856, 'target_is_minimal': True, 'target_label': '504.2.ch.b.269.8', 'target_level': 504, 'twist_class_label': '504.2.ch.b.269.3', 'twist_class_level': 504, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 39854536
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 56, 'source_embedding_index': 25, 'source_hecke_orbit_code': 4508203865868256, 'source_is_minimal': False, 'source_label': '2016.2.cp.b.17.25', 'source_level': 2016, 'target_conrey_index': 341, 'target_dim': 56, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4507654110052856, 'target_is_minimal': True, 'target_label': '504.2.ch.b.341.8', 'target_level': 504, 'twist_class_label': '504.2.ch.b.269.3', 'twist_class_level': 504, 'twisting_char_label': '28.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 39854537
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 56, 'source_embedding_index': 25, 'source_hecke_orbit_code': 4508203865868256, 'source_is_minimal': False, 'source_label': '2016.2.cp.b.17.25', 'source_level': 2016, 'target_conrey_index': 593, 'target_dim': 56, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4508203865868256, 'target_is_minimal': False, 'target_label': '2016.2.cp.b.593.3', 'target_level': 2016, 'twist_class_label': '504.2.ch.b.269.3', 'twist_class_level': 504, 'twisting_char_label': '56.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 39854538
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 56, 'source_embedding_index': 25, 'source_hecke_orbit_code': 4508203865868256, 'source_is_minimal': False, 'source_label': '2016.2.cp.b.17.25', 'source_level': 2016, 'target_conrey_index': 341, 'target_dim': 56, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4507654110052856, 'target_is_minimal': True, 'target_label': '504.2.ch.b.341.3', 'target_level': 504, 'twist_class_label': '504.2.ch.b.269.3', 'twist_class_level': 504, 'twisting_char_label': '56.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 39854539
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 56, 'source_embedding_index': 25, 'source_hecke_orbit_code': 4508203865868256, 'source_is_minimal': False, 'source_label': '2016.2.cp.b.17.25', 'source_level': 2016, 'target_conrey_index': 341, 'target_dim': 56, 'target_embedding_index': 21, 'target_hecke_orbit_code': 4507654110052856, 'target_is_minimal': True, 'target_label': '504.2.ch.b.341.21', 'target_level': 504, 'twist_class_label': '504.2.ch.b.269.3', 'twist_class_level': 504, 'twisting_char_label': '84.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 39854540
    {'conductor': 168, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 56, 'source_embedding_index': 25, 'source_hecke_orbit_code': 4508203865868256, 'source_is_minimal': False, 'source_label': '2016.2.cp.b.17.25', 'source_level': 2016, 'target_conrey_index': 593, 'target_dim': 56, 'target_embedding_index': 25, 'target_hecke_orbit_code': 4508203865868256, 'target_is_minimal': False, 'target_label': '2016.2.cp.b.593.25', 'target_level': 2016, 'twist_class_label': '504.2.ch.b.269.3', 'twist_class_level': 504, 'twisting_char_label': '168.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 39854541
    {'conductor': 168, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 56, 'source_embedding_index': 25, 'source_hecke_orbit_code': 4508203865868256, 'source_is_minimal': False, 'source_label': '2016.2.cp.b.17.25', 'source_level': 2016, 'target_conrey_index': 341, 'target_dim': 56, 'target_embedding_index': 26, 'target_hecke_orbit_code': 4507654110052856, 'target_is_minimal': True, 'target_label': '504.2.ch.b.341.26', 'target_level': 504, 'twist_class_label': '504.2.ch.b.269.3', 'twist_class_level': 504, 'twisting_char_label': '168.131', 'twisting_conrey_index': 131, 'weight': 2}
• hecke_orbit_code 4508203865868256 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': 68, 'hecke_orbit': 2, 'label': '2016.2.cp.b', 'level': 2016, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 25784497
    {'hecke_orbit_code': 4508203865868256, 'n': 1, 'trace_an': 56}
  • id: 25784498
    {'hecke_orbit_code': 4508203865868256, 'n': 2, 'trace_an': 0}
  • id: 25784499
    {'hecke_orbit_code': 4508203865868256, 'n': 3, 'trace_an': 0}
  • id: 25784500
    {'hecke_orbit_code': 4508203865868256, 'n': 4, 'trace_an': 0}
  • id: 25784501
    {'hecke_orbit_code': 4508203865868256, 'n': 5, 'trace_an': 0}
  • id: 25784502
    {'hecke_orbit_code': 4508203865868256, 'n': 6, 'trace_an': 0}
  • id: 25784503
    {'hecke_orbit_code': 4508203865868256, 'n': 7, 'trace_an': 20}
  • id: 25784504
    {'hecke_orbit_code': 4508203865868256, 'n': 8, 'trace_an': 0}
  • id: 25784505
    {'hecke_orbit_code': 4508203865868256, 'n': 9, 'trace_an': 0}
  • id: 25784506
    {'hecke_orbit_code': 4508203865868256, 'n': 10, 'trace_an': 0}
  • id: 25784507
    {'hecke_orbit_code': 4508203865868256, 'n': 11, 'trace_an': 0}
  • id: 25784508
    {'hecke_orbit_code': 4508203865868256, 'n': 12, 'trace_an': 0}
  • id: 25784509
    {'hecke_orbit_code': 4508203865868256, 'n': 13, 'trace_an': 0}
  • id: 25784510
    {'hecke_orbit_code': 4508203865868256, 'n': 14, 'trace_an': 0}
  • id: 25784511
    {'hecke_orbit_code': 4508203865868256, 'n': 15, 'trace_an': 0}
  • id: 25784512
    {'hecke_orbit_code': 4508203865868256, 'n': 16, 'trace_an': 0}
  • id: 25784513
    {'hecke_orbit_code': 4508203865868256, 'n': 17, 'trace_an': 0}
  • id: 25784514
    {'hecke_orbit_code': 4508203865868256, 'n': 18, 'trace_an': 0}
  • id: 25784515
    {'hecke_orbit_code': 4508203865868256, 'n': 19, 'trace_an': 0}
  • id: 25784516
    {'hecke_orbit_code': 4508203865868256, 'n': 20, 'trace_an': 0}
  • id: 25784517
    {'hecke_orbit_code': 4508203865868256, 'n': 21, 'trace_an': 0}
  • id: 25784518
    {'hecke_orbit_code': 4508203865868256, 'n': 22, 'trace_an': 0}
  • id: 25784519
    {'hecke_orbit_code': 4508203865868256, 'n': 23, 'trace_an': 0}
  • id: 25784520
    {'hecke_orbit_code': 4508203865868256, 'n': 24, 'trace_an': 0}
  • id: 25784521
    {'hecke_orbit_code': 4508203865868256, 'n': 25, 'trace_an': 8}
  • id: 25784522
    {'hecke_orbit_code': 4508203865868256, 'n': 26, 'trace_an': 0}
  • id: 25784523
    {'hecke_orbit_code': 4508203865868256, 'n': 27, 'trace_an': 0}
  • id: 25784524
    {'hecke_orbit_code': 4508203865868256, 'n': 28, 'trace_an': 0}
  • id: 25784525
    {'hecke_orbit_code': 4508203865868256, 'n': 29, 'trace_an': 0}
  • id: 25784526
    {'hecke_orbit_code': 4508203865868256, 'n': 30, 'trace_an': 0}
  • id: 25784527
    {'hecke_orbit_code': 4508203865868256, 'n': 31, 'trace_an': 36}
  • id: 25784528
    {'hecke_orbit_code': 4508203865868256, 'n': 32, 'trace_an': 0}
  • id: 25784529
    {'hecke_orbit_code': 4508203865868256, 'n': 33, 'trace_an': 0}
  • id: 25784530
    {'hecke_orbit_code': 4508203865868256, 'n': 34, 'trace_an': 0}
  • id: 25784531
    {'hecke_orbit_code': 4508203865868256, 'n': 35, 'trace_an': 0}
  • id: 25784532
    {'hecke_orbit_code': 4508203865868256, 'n': 36, 'trace_an': 0}
  • id: 25784533
    {'hecke_orbit_code': 4508203865868256, 'n': 37, 'trace_an': 0}
  • id: 25784534
    {'hecke_orbit_code': 4508203865868256, 'n': 38, 'trace_an': 0}
  • id: 25784535
    {'hecke_orbit_code': 4508203865868256, 'n': 39, 'trace_an': 0}
  • id: 25784536
    {'hecke_orbit_code': 4508203865868256, 'n': 40, 'trace_an': 0}
  • id: 25784537
    {'hecke_orbit_code': 4508203865868256, 'n': 41, 'trace_an': 0}
  • id: 25784538
    {'hecke_orbit_code': 4508203865868256, 'n': 42, 'trace_an': 0}
  • id: 25784539
    {'hecke_orbit_code': 4508203865868256, 'n': 43, 'trace_an': 0}
  • id: 25784540
    {'hecke_orbit_code': 4508203865868256, 'n': 44, 'trace_an': 0}
  • id: 25784541
    {'hecke_orbit_code': 4508203865868256, 'n': 45, 'trace_an': 0}
  • id: 25784542
    {'hecke_orbit_code': 4508203865868256, 'n': 46, 'trace_an': 0}
  • id: 25784543
    {'hecke_orbit_code': 4508203865868256, 'n': 47, 'trace_an': 0}
  • id: 25784544
    {'hecke_orbit_code': 4508203865868256, 'n': 48, 'trace_an': 0}
  • id: 25784545
    {'hecke_orbit_code': 4508203865868256, 'n': 49, 'trace_an': -28}
  • id: 25784546
    {'hecke_orbit_code': 4508203865868256, 'n': 50, 'trace_an': 0}
  • id: 25784547
    {'hecke_orbit_code': 4508203865868256, 'n': 51, 'trace_an': 0}
  • id: 25784548
    {'hecke_orbit_code': 4508203865868256, 'n': 52, 'trace_an': 0}
  • id: 25784549
    {'hecke_orbit_code': 4508203865868256, 'n': 53, 'trace_an': 0}
  • id: 25784550
    {'hecke_orbit_code': 4508203865868256, 'n': 54, 'trace_an': 0}
  • id: 25784551
    {'hecke_orbit_code': 4508203865868256, 'n': 55, 'trace_an': 0}
  • id: 25784552
    {'hecke_orbit_code': 4508203865868256, 'n': 56, 'trace_an': 0}
  • id: 25784553
    {'hecke_orbit_code': 4508203865868256, 'n': 57, 'trace_an': 0}
  • id: 25784554
    {'hecke_orbit_code': 4508203865868256, 'n': 58, 'trace_an': 0}
  • id: 25784555
    {'hecke_orbit_code': 4508203865868256, 'n': 59, 'trace_an': 0}
  • id: 25784556
    {'hecke_orbit_code': 4508203865868256, 'n': 60, 'trace_an': 0}
  • id: 25784557
    {'hecke_orbit_code': 4508203865868256, 'n': 61, 'trace_an': 0}
  • id: 25784558
    {'hecke_orbit_code': 4508203865868256, 'n': 62, 'trace_an': 0}
  • id: 25784559
    {'hecke_orbit_code': 4508203865868256, 'n': 63, 'trace_an': 0}
  • id: 25784560
    {'hecke_orbit_code': 4508203865868256, 'n': 64, 'trace_an': 0}
  • id: 25784561
    {'hecke_orbit_code': 4508203865868256, 'n': 65, 'trace_an': 0}
  • id: 25784562
    {'hecke_orbit_code': 4508203865868256, 'n': 66, 'trace_an': 0}
  • id: 25784563
    {'hecke_orbit_code': 4508203865868256, 'n': 67, 'trace_an': 0}
  • id: 25784564
    {'hecke_orbit_code': 4508203865868256, 'n': 68, 'trace_an': 0}
  • id: 25784565
    {'hecke_orbit_code': 4508203865868256, 'n': 69, 'trace_an': 0}
  • id: 25784566
    {'hecke_orbit_code': 4508203865868256, 'n': 70, 'trace_an': 0}
  • id: 25784567
    {'hecke_orbit_code': 4508203865868256, 'n': 71, 'trace_an': 0}
  • id: 25784568
    {'hecke_orbit_code': 4508203865868256, 'n': 72, 'trace_an': 0}
  • id: 25784569
    {'hecke_orbit_code': 4508203865868256, 'n': 73, 'trace_an': 72}
  • id: 25784570
    {'hecke_orbit_code': 4508203865868256, 'n': 74, 'trace_an': 0}
  • id: 25784571
    {'hecke_orbit_code': 4508203865868256, 'n': 75, 'trace_an': 0}
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  • id: 25784621
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  • id: 25784622
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  • id: 25784623
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  • id: 25784688
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  • id: 25784689
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  • id: 25784705
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  • id: 25784711
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  • id: 25784712
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  • id: 25784713
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  • id: 25784714
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  • id: 25784715
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  • id: 25784716
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  • id: 25784717
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  • id: 25784718
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  • id: 25784719
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  • id: 25784721
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  • id: 25784722
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  • id: 25784723
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  • id: 25784724
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  • id: 25784726
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  • id: 25784727
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  • id: 25784728
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  • id: 25784729
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  • id: 25784731
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