Embedded newform data - 2800.2.g.s.449.4

Formats: - HTML - YAML - JSON - 2024-10-04T08:05:11.572287

• 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': 11200, 'analytic_conductor': 22.358112565958507, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 2, 'char_parity': 1, 'char_values': [2800, 2, [351, 2101, 2577, 801], [2, 2, 1, 2]], 'cm_discs': [], 'conrey_index': 449, 'dim': 4, 'field_disc': 400, 'field_disc_factorization': [[2, 4], [5, 2]], 'field_poly': [1, 0, 3, 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': [[3, [16, 0, 12, 0, 1]], [11, [-1, 4, 1]], [13, [16, 0, 12, 0, 1]]], 'hecke_orbit': 19, 'hecke_orbit_code': 81065205643086576, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2800.2.g.s', 'level': 2800, '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, 5, 7], 'level_radical': 70, 'minimal_twist': '175.2.a.d', 'nf_label': '4.0.400.1', 'prim_orbit_index': 2, 'qexp_display': 'q+(-\\beta _{1}+\\beta _{2})q^{3}-\\beta _{1}q^{7}+(-3+2\\beta _{3})q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2800.2.g', 'trace_display': [0, 0, 0, 0], 'trace_hash': 241289209905979229, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.858', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '71.439', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1785.825', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.531', 'prec': 17}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, -12, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -20, 0, 12, 0, 0, 0, 0, 0, 0, 0, -16, 0, 28, 0, 0, 0, 0, 0, 0, 0, -4, 0, 32, 0, 0, 0, 0, 0, 0, 0, 20, 0, -12, 0, 0, 0, 0, 0, 0, 0, 36, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, -60, 0, 4, 0, 0, 0, 0, 0, 0, 0, -16, 0, 28, 0, 0, 0, 0, 0, 0, 0, 20, 0, 12, 0, 0, 0, 0, 0, 0, 0, -8, 0, -8, 0, 0, 0, 0, 0, 0, 0, -4, 0, 32, 0, 0, 0, 0, 0, 0, 0, -20, 0, 8, 0, 0, 0, 0, 0, 0, 0, 20, 0, 72, 0, 0, 0, 0, 0, 0, 0, -56, 0, 16, 0, 0, 0, 0, 0, 0, 0, 28, 0, 80, 0, 0, 0, 0, 0, 0, 0, -40, 0, -12, 0, 0, 0, 0, 0, 0, 0, 40, 0, -8, 0, 0, 0, 0, 0, 0, 0, 20, 0, 28, 0, 0, 0, 0, 0, 0, 0, -40, 0, -48, 0, 0, 0, 0, 0, 0, 0, 24, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -40, 0, -32, 0, 0, 0, 0, 0, 0, 0, -64, 0, -8, 0, 0, 0, 0, 0, 0, 0, 12, 0, 60, 0, 0, 0, 0, 0, 0, 0, 20, 0, -68, 0, 0, 0, 0, 0, 0, 0, 84, 0, 28, 0, 0, 0, 0, 0, 0, 0, -28, 0, 32, 0, 0, 0, 0, 0, 0, 0, 4, 0, 16, 0, 0, 0, 0, 0, 0, 0, 56, 0, -8, 0, 0, 0, 0, 0, 0, 0, 40, 0, -32, 0, 0, 0, 0, 0, 0, 0, 8, 0, 72, 0, 0, 0, 0, 0, 0, 0, 124, 0, -84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 4, 0, 0, 0, 0, 0, 0, 0, -44, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 60, 0, -8, 0, 0, 0, 0, 0, 0, 0, 40, 0, 28, 0, 0, 0, 0, 0, 0, 0, -80, 0, -88, 0, 0, 0, 0, 0, 0, 0, -60, 0, -52, 0, 0, 0, 0, 0, 0, 0, 32, 0, -88, 0, 0, 0, 0, 0, 0, 0, -60, 0, 12, 0, 0, 0, 0, 0, 0, 0, -100, 0, -76, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 8, 0, -8, 0, 0, 0, 0, 0, 0, 0, -60, 0, -12, 0, 0, 0, 0, 0, 0, 0, 16, 0, 32, 0, 0, 0, 0, 0, 0, 0, 80, 0, -32, 0, 0, 0, 0, 0, 0, 0, -100, 0, 44, 0, 0, 0, 0, 0, 0, 0, 24, 0, 88, 0, 0, 0, 0, 0, 0, 0, 8, 0, -180, 0, 0, 0, 0, 0, 0, 0, 8, 0, 28, 0, 0, 0, 0, 0, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, -64, 0, 0, 0, 0, 0, 0, 0, -20, 0, -48, 0, 0, 0, 0, 0, 0, 0, -116, 0, -4, 0, 0, 0, 0, 0, 0, 0, 120, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 20, 0, -8, 0, 0, 0, 0, 0, 0, 0, -20, 0, -200, 0, 0, 0, 0, 0, 0, 0, 24, 0, -48, 0, 0, 0, 0, 0, 0, 0, 144, 0, 68, 0, 0, 0, 0, 0, 0, 0, 20, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 136, 0, -36, 0, 0, 0, 0, 0, 0, 0, 12, 0, -152, 0, 0, 0, 0, 0, 0, 0, -24, 0, -28, 0, 0, 0, 0, 0, 0, 0, -76, 0, -152, 0, 0, 0, 0, 0, 0, 0, 120, 0, 200, 0, 0, 0, 0, 0, 0, 0, 20, 0, 16, 0, 0, 0, 0, 0, 0, 0, -132, 0, 72, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, -48, 0, 0, 0, 0, 0, 0, 0, 28, 0, -32, 0, 0, 0, 0, 0, 0, 0, 20, 0, -128, 0, 0, 0, 0, 0, 0, 0, 40, 0, -44, 0, 0, 0, 0, 0, 0, 0, 76, 0, 4, 0, 0, 0, 0, 0, 0, 0, 16, 0, 220, 0, 0, 0, 0, 0, 0, 0, -100, 0, -8, 0, 0, 0, 0, 0, 0, 0, 28, 0, 8, 0, 0, 0, 0, 0, 0, 0, 120, 0, -168, 0, 0, 0, 0, 0, 0, 0, -60, 0, -16, 0, 0, 0, 0, 0, 0, 0, 136, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -100, 0, 12, 0, 0, 0, 0, 0, 0, 0, 224, 0, 68, 0, 0, 0, 0, 0, 0, 0, 8, 0, 32, 0, 0, 0, 0, 0, 0, 0, -60, 0, 48, 0, 0, 0, 0, 0, 0, 0, -44, 0, -48, 0, 0, 0, 0, 0, 0, 0, -120, 0, 48, 0, 0, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, -12, 0, 0, 0, 0, 0, 0, 0, -64, 0, 212, 0, 0, 0, 0, 0, 0, 0, -8, 0, 92, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 100, 0, 180, 0, 0, 0, 0, 0, 0, 0, -44, 0, -8, 0, 0, 0, 0, 0, 0, 0, -120, 0, -28, 0, 0, 0, 0, 0, 0, 0, 20, 0, -88, 0, 0, 0, 0, 0, 0, 0, -80, 0, 8, 0, 0, 0, 0, 0, 0, 0, 4, 0, 152, 0, 0, 0, 0, 0, 0, 0, 180, 0, -92, 0, 0, 0, 0, 0, 0, 0, -80, 0, 112, 0, 0, 0, 0, 0, 0, 0, 64, 0, -32, 0, 0, 0, 0, 0, 0, 0, -20, 0, -56, 0, 0, 0, 0, 0, 0, 0, -56, 0, -32, 0, 0, 0, 0, 0, 0, 0, 184, 0, 32, 0, 0, 0, 0, 0, 0, 0, 12, 0, 248, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, 284, 0, -120, 0, 0, 0, 0, 0, 0, 0, 60, 0, 80, 0, 0, 0, 0, 0, 0, 0, -24, 0, -24, 0, 0, 0, 0, 0, 0, 0, -144, 0, 12, 0, 0, 0, 0, 0, 0, 0, 120, 0, -120, 0, 0, 0, 0, 0, 0, 0, -12, 0, -48, 0, 0, 0, 0, 0, 0, 0, -256, 0, 8, 0, 0, 0, 0, 0, 0, 0, -140, 0, -8, 0, 0, 0, 0, 0, 0, 0, -160, 0, -12, 0, 0, 0, 0, 0, 0, 0, -48, 0, 64, 0, 0, 0, 0, 0, 0, 0, 104, 0, 36, 0, 0, 0, 0, 0, 0, 0, 40, 0, 112, 0, 0, 0, 0, 0, 0, 0, -80, 0, 128, 0, 0, 0, 0, 0, 0, 0, 100, 0, -220, 0, 0, 0, 0, 0, 0, 0, -180, 0, 8, 0, 0, 0, 0, 0, 0, 0, -80, 0, 144, 0, 0, 0, 0, 0, 0, 0, -40, 0, 72, 0, 0, 0, 0, 0, 0, 0, -60, 0, -28, 0, 0, 0, 0, 0, 0, 0, 224, 0, 8, 0, 0, 0, 0, 0, 0, 0, 56, 0, -200, 0, 0, 0, 0, 0, 0, 0, 20, 0, 48, 0, 0, 0, 0, 0, 0, 0, -144, 0, 24, 0, 0, 0, 0, 0, 0, 0, 24, 0, 100, 0, 0, 0, 0, 0, 0, 0, 120, 0, 4, 0, 0, 0, 0, 0, 0, 0, -256, 0, 88, 0, 0, 0, 0, 0, 0, 0, 112, 0, -28, 0, 0, 0, 0, 0, 0, 0, 12, 0, -12, 0, 0, 0, 0, 0, 0, 0, -144, 0, 32, 0, 0, 0, 0, 0, 0, 0, 80, 0, -72, 0, 0, 0, 0, 0, 0, 0, 20, 0, 112, 0, 0, 0, 0, 0, 0, 0, 68, 0, 20, 0, 0, 0, 0, 0, 0, 0, -120, 0, 240, 0, 0, 0, 0, 0, 0, 0, -120, 0, 16, 0, 0, 0, 0, 0, 0, 0, -88, 0, 232, 0, 0, 0, 0, 0, 0, 0, 20, 0, -12, 0, 0, 0, 0, 0, 0, 0, 116, 0, -128, 0, 0, 0, 0, 0, 0, 0, -160, 0, 28, 0, 0, 0, 0, 0, 0, 0, -140, 0, 68, 0, 0, 0, 0, 0, 0, 0, -40, 0, 200, 0, 0, 0, 0, 0, 0, 0, 56, 0, 112, 0, 0, 0, 0, 0, 0, 0, -12, 0, -164, 0, 0, 0, 0, 0, 0, 0, 180, 0, 92, 0, 0, 0, 0, 0, 0, 0, -240, 0, -52, 0, 0, 0, 0, 0, 0, 0, 60, 0, 24, 0, 0, 0, 0, 0, 0, 0, -200, 0, 36, 0, 0, 0, 0, 0, 0, 0, 176, 0, 112, 0, 0, 0, 0, 0, 0, 0, -40, 0, 96, 0, 0, 0, 0, 0, 0, 0, -32, 0, -48, 0, 0, 0, 0, 0, 0, 0, -112, 0, 68, 0, 0, 0, 0, 0, 0, 0, 40, 0, 360, 0, 0, 0, 0, 0, 0, 0, 80, 0, -12, 0, 0, 0, 0, 0, 0, 0, -164, 0, 4, 0, 0, 0, 0, 0, 0, 0, -120, 0, 28, 0, 0, 0, 0, 0, 0, 0, -16, 0, -148, 0, 0, 0, 0, 0, 0, 0, 100, 0, -124, 0, 0, 0, 0, 0, 0, 0, -180, 0, 52, 0, 0, 0, 0, 0, 0, 0, -156, 0, 52, 0, 0, 0, 0, 0, 0, 0, 136, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, -100, 0, -100, 0, 0, 0, 0, 0, 0, 0, 104, 0, 228, 0, 0, 0, 0, 0, 0, 0, 40, 0, -8, 0, 0, 0, 0, 0, 0, 0, -24, 0, -32, 0, 0, 0, 0, 0, 0, 0, -8, 0, -48, 0, 0, 0, 0, 0, 0, 0, 240, 0, 88, 0, 0, 0, 0, 0, 0, 0, 60, 0, -12, 0, 0, 0, 0, 0, 0, 0, 304, 0, -72, 0, 0, 0, 0, 0, 0, 0, -40, 0, -100, 0, 0, 0, 0, 0, 0, 0, 12, 0, -12, 0, 0, 0, 0, 0, 0, 0, -120, 0, -48, 0, 0, 0, 0, 0, 0, 0, -64, 0, 128, 0, 0, 0, 0, 0, 0, 0, -120, 0, -128, 0, 0, 0, 0, 0, 0, 0, 244, 0, 56, 0, 0, 0, 0, 0, 0, 0, 88, 0, -68, 0, 0, 0, 0, 0, 0, 0, -16, 0, 168, 0, 0, 0, 0, 0, 0, 0, 80, 0, 112, 0, 0, 0, 0, 0, 0, 0, -160, 0, -40, 0, 0, 0, 0, 0, 0, 0, 80, 0, 144, 0, 0, 0, 0, 0, 0, 0, 144, 0, -92, 0, 0, 0, 0, 0, 0, 0, 76, 0, 16, 0, 0, 0, 0, 0, 0, 0, 40, 0, -232, 0, 0, 0, 0, 0, 0, 0, 96, 0, -228, 0, 0, 0, 0, 0, 0, 0, -8, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, -56, 0, 48, 0, 0, 0, 0, 0, 0, 0, -40, 0, -400, 0, 0, 0, 0, 0, 0, 0, 60, 0, 16, 0, 0, 0, 0, 0, 0, 0, 16, 0, 124, 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], [0.0, 1.8683447179254313], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.37796447300922725], [0.0, 0.0], [-2.49071198499986, 0.0], [0.0, 0.0], [0.07117717330771484, 0.0], [0.0, 0.0], [0.0, 0.34282357483342774], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.5995810390206149], [0.0, 0.0], [-1.0259783520851542, 0.0], [0.0, 0.0], [-0.706167926710259, 0.0], [0.0, 0.0], [0.0, -1.3003100603484559], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -2.785163863122623], [0.0, 0.0], [-0.9284766908852593, 0.0], [0.0, 0.0], [-0.6660130872734236, 0.0], [0.0, 0.0], [0.0, 0.13298349578633203], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.4931969619160719], [0.0, 0.0], [-0.6405126152203485, 0.0], [0.0, 0.0], [0.7440011853354533, 0.0], [0.0, 0.0], [0.0, -0.2689971115951819], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.2917299829957891], [0.0, 0.0], [-0.14285714285714285, 0.0], [0.0, 0.0], [1.1202240672224077, 0.0], [0.0, 0.0], [0.0, 1.1637373726287072], [0.0, 0.0], 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0.06080218968071352, 0.14549431142644326, -0.06766096962221584, -0.37491798049079955, -0.25677974222270816, 0.19343797304408913, -0.21002648268418256, -0.3509572463575373, -0.4423565475394328, 0.16188990459063693, -0.4687385445410317, -0.4541071083440992, 0.18386276275423682, -0.35905766436987746, -0.4143471012230951, -0.3937341917917443, -0.25, -0.2723714147205777, -0.12345293339225116, 0.15005647235301622, -0.49405083952433876, -0.28254197994693414, 0.0924849403247328, -0.40200913051503034, -0.10366370806567725, -0.49931912163144926, -0.46897080006580455, -0.39427000052980765, -0.14317708317055078, -0.23041843042666227, -0.18719521201334482, 0.1425268894508633, -0.29341341074920996, -0.4223499438285065, -0.11599471442842949, -0.3709206091275948, -0.12403668711595633, 0.03078709574433887, 0.015277852117544113, -0.274266304309015, -0.27075748848249803, -0.40523180268415, -0.4092946688346668, -0.49433776409600416, -0.3279571091255848, -0.4939157489276933, -0.14602621942780433, -0.15663432558879375, -0.499876592046384, -0.13819817143276436, 0.010074140530052778, 0.032432296264883774, 0.1070081768018159, -0.33799189631613163], 'char_orbit_index': 7, 'conrey_index': 449, 'dual_conrey_index': 449, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 1.618033988749895, 'embedding_root_real': 0.0, 'hecke_orbit': 19, 'hecke_orbit_code': 81065205643086576, 'label': '2800.2.g.s.449.4', 'level': 2800, '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': 11200, 'analytic_conductor': 22.358112565958507, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 2, 'char_parity': 1, 'char_values': [2800, 2, [351, 2101, 2577, 801], [2, 2, 1, 2]], 'conrey_index': 449, 'cusp_dim': 444, 'dim': 54, 'eis_dim': 72, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 11, 13], 'hecke_orbit_code': 412350417648, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4], 'label': '2800.2.g', 'level': 2800, '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, 5, 7], 'level_radical': 70, 'mf_dim': 516, 'mf_new_dim': 54, 'num_forms': 22, 'prim_orbit_index': 2, 'relative_dim': 54, 'sturm_bound': 960, 'trace_bound': 19, 'trace_display': [0, 0, 0, 0], 'traces': [54, 0, 0, 0, 0, 0, 0, 0, -54, 0, 12, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 16, 0, 0, 0, 0, 0, 0, 0, 40, 0, 4, 0, 0, 0, 0, 0, 0, 0, -54, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 32, 0, -52, 0, 0, 0, 0, 0, 0, 0, 4, 0, 38, 0, 0, 0, 0, 0, 0, 0, -20, 0, 12, 0, 0, 0, 0, 0, 0, 0, -76, 0, -20, 0, 0, 0, 0, 0, 0, 0, 68, 0, 88, 0, 0, 0, 0, 0, 0, 0, 20, 0, 86, 0, 0, 0, 0, 0, 0, 0, -32, 0, 64, 0, 0, 0, 0, 0, 0, 0, -32, 0, -80, 0, 0, 0, 0, 0, 0, 0, 20, 0, 84, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, -106, 0, -88, 0, 0, 0, 0, 0, 0, 0, 16, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, -136, 0, 56, 0, 0, 0, 0, 0, 0, 0, 56, 0, 40, 0, 0, 0, 0, 0, 0, 0, 88, 0, -24, 0, 0, 0, 0, 0, 0, 0, 36, 0, -48, 0, 0, 0, 0, 0, 0, 0, 56, 0, -28, 0, 0, 0, 0, 0, 0, 0, 72, 0, -104, 0, 0, 0, 0, 0, 0, 0, -24, 0, 44, 0, 0, 0, 0, 0, 0, 0, -44, 0, -32, 0, 0, 0, 0, 0, 0, 0, -304, 0, 28, 0, 0, 0, 0, 0, 0, 0, -58, 0, 104, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 256, 0, 0, 0, 0, 0, 0, 0, 28, 0, -168, 0, 0, 0, 0, 0, 0, 0, -16, 0, 44, 0, 0, 0, 0, 0, 0, 0, -16, 0, 128, 0, 0, 0, 0, 0, 0, 0, 68, 0, -168, 0, 0, 0, 0, 0, 0, 0, -12, 0, 22, 0, 0, 0, 0, 0, 0, 0, 84, 0, 36, 0, 0, 0, 0, 0, 0, 0, 148, 0, 0, 0, 0, 0, 0, 0, 0, 0, 116, 0, 96, 0, 0, 0, 0, 0, 0, 0, 32, 0, 84, 0, 0, 0, 0, 0, 0, 0, 44, 0, -136, 0, 0, 0, 0, 0, 0, 0, -184, 0, 28, 0, 0, 0, 0, 0, 0, 0, 32, 0, 8, 0, 0, 0, 0, 0, 0, 0, 128, 0, 54, 0, 0, 0, 0, 0, 0, 0, -4, 0, -96, 0, 0, 0, 0, 0, 0, 0, -16, 0, -164, 0, 0, 0, 0, 0, 0, 0, -32, 0, 80, 0, 0, 0, 0, 0, 0, 0, -16, 0, 8, 0, 0, 0, 0, 0, 0, 0, 8, 0, 228, 0, 0, 0, 0, 0, 0, 0, 48, 0, -48, 0, 0, 0, 0, 0, 0, 0, -92, 0, -100, 0, 0, 0, 0, 0, 0, 0, 264, 0, -28, 0, 0, 0, 0, 0, 0, 0, 58, 0, -192, 0, 0, 0, 0, 0, 0, 0, -12, 0, -36, 0, 0, 0, 0, 0, 0, 0, 260, 0, -136, 0, 0, 0, 0, 0, 0, 0, -128, 0, -168, 0, 0, 0, 0, 0, 0, 0, 60, 0, -300, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, -40, 0, 0, 0, 0, 0, 0, 0, -124, 0, 36, 0, 0, 0, 0, 0, 0, 0, 48, 0, 72, 0, 0, 0, 0, 0, 0, 0, 16, 0, -176, 0, 0, 0, 0, 0, 0, 0, -120, 0, -308, 0, 0, 0, 0, 0, 0, 0, 420, 0, -52, 0, 0, 0, 0, 0, 0, 0, -80, 0, 128, 0, 0, 0, 0, 0, 0, 0, -72, 0, -132, 0, 0, 0, 0, 0, 0, 0, 128, 0, 360, 0, 0, 0, 0, 0, 0, 0, 36, 0, -96, 0, 0, 0, 0, 0, 0, 0, -216, 0, 112, 0, 0, 0, 0, 0, 0, 0, 168, 0, 148, 0, 0, 0, 0, 0, 0, 0, 76, 0, 308, 0, 0, 0, 0, 0, 0, 0, 200, 0, 16, 0, 0, 0, 0, 0, 0, 0, -174, 0, -32, 0, 0, 0, 0, 0, 0, 0, 60, 0, -112, 0, 0, 0, 0, 0, 0, 0, -24, 0, -280, 0, 0, 0, 0, 0, 0, 0, -328, 0, 68, 0, 0, 0, 0, 0, 0, 0, 140, 0, 32, 0, 0, 0, 0, 0, 0, 0, -168, 0, 152, 0, 0, 0, 0, 0, 0, 0, -176, 0, -112, 0, 0, 0, 0, 0, 0, 0, 168, 0, 268, 0, 0, 0, 0, 0, 0, 0, -76, 0, -376, 0, 0, 0, 0, 0, 0, 0, -36, 0, -156, 0, 0, 0, 0, 0, 0, 0, -92, 0, -432, 0, 0, 0, 0, 0, 0, 0, -24, 0, 170, 0, 0, 0, 0, 0, 0, 0, -280, 0, 12, 0, 0, 0, 0, 0, 0, 0, -128, 0, 32, 0, 0, 0, 0, 0, 0, 0, -56, 0, 128, 0, 0, 0, 0, 0, 0, 0, -232, 0, 92, 0, 0, 0, 0, 0, 0, 0, -32, 0, 604, 0, 0, 0, 0, 0, 0, 0, 192, 0, -248, 0, 0, 0, 0, 0, 0, 0, 244, 0, -108, 0, 0, 0, 0, 0, 0, 0, -12, 0, -24, 0, 0, 0, 0, 0, 0, 0, -108, 0, 16, 0, 0, 0, 0, 0, 0, 0, -296, 0, 124, 0, 0, 0, 0, 0, 0, 0, -24, 0, 760, 0, 0, 0, 0, 0, 0, 0, 84, 0, 70, 0, 0, 0, 0, 0, 0, 0, 248, 0, 256, 0, 0, 0, 0, 0, 0, 0, 424, 0, -52, 0, 0, 0, 0, 0, 0, 0, -360, 0, -60, 0, 0, 0, 0, 0, 0, 0, 48, 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: 48237852
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 81065205643086576, 'source_is_minimal': False, 'source_label': '2800.2.g.s.449.4', 'source_level': 2800, 'target_conrey_index': 449, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 81065205643086576, 'target_is_minimal': False, 'target_label': '2800.2.g.s.449.4', 'target_level': 2800, 'twist_class_label': '175.2.a.d.1.2', 'twist_class_level': 175, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48237853
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 81065205643086576, 'source_is_minimal': False, 'source_label': '2800.2.g.s.449.4', 'source_level': 2800, 'target_conrey_index': 99, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007268007772335, 'target_is_minimal': False, 'target_label': '175.2.b.c.99.3', 'target_level': 175, 'twist_class_label': '175.2.a.d.1.2', 'twist_class_level': 175, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48237854
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 81065205643086576, 'source_is_minimal': False, 'source_label': '2800.2.g.s.449.4', 'source_level': 2800, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 184647584755747568, 'target_is_minimal': False, 'target_label': '2800.2.a.bp.1.2', 'target_level': 2800, 'twist_class_label': '175.2.a.d.1.2', 'twist_class_level': 175, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48237855
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 81065205643086576, 'source_is_minimal': False, 'source_label': '2800.2.g.s.449.4', 'source_level': 2800, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 148618787736783600, 'target_is_minimal': False, 'target_label': '2800.2.a.bh.1.1', 'target_level': 2800, 'twist_class_label': '175.2.a.d.1.2', 'twist_class_level': 175, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48237856
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 81065205643086576, 'source_is_minimal': False, 'source_label': '2800.2.g.s.449.4', 'source_level': 2800, 'target_conrey_index': 449, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 81065205643086576, 'target_is_minimal': False, 'target_label': '2800.2.g.s.449.1', 'target_level': 2800, 'twist_class_label': '175.2.a.d.1.2', 'twist_class_level': 175, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 48237857
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 81065205643086576, 'source_is_minimal': False, 'source_label': '2800.2.g.s.449.4', 'source_level': 2800, 'target_conrey_index': 1324, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45036202465691175, 'target_is_minimal': False, 'target_label': '1575.2.d.k.1324.2', 'target_level': 1575, 'twist_class_label': '175.2.a.d.1.2', 'twist_class_level': 175, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48237858
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 81065205643086576, 'source_is_minimal': False, 'source_label': '2800.2.g.s.449.4', 'source_level': 2800, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510798915666095, 'target_is_minimal': True, 'target_label': '175.2.a.d.1.2', 'target_level': 175, 'twist_class_label': '175.2.a.d.1.2', 'twist_class_level': 175, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48237859
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 81065205643086576, 'source_is_minimal': False, 'source_label': '2800.2.g.s.449.4', 'source_level': 2800, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398543036591, 'target_is_minimal': True, 'target_label': '175.2.a.e.1.1', 'target_level': 175, 'twist_class_label': '175.2.a.d.1.2', 'twist_class_level': 175, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 48237860
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 81065205643086576, 'source_is_minimal': False, 'source_label': '2800.2.g.s.449.4', 'source_level': 2800, 'target_conrey_index': 99, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268007772335, 'target_is_minimal': False, 'target_label': '175.2.b.c.99.2', 'target_level': 175, 'twist_class_label': '175.2.a.d.1.2', 'twist_class_level': 175, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 48237861
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 81065205643086576, 'source_is_minimal': False, 'source_label': '2800.2.g.s.449.4', 'source_level': 2800, 'target_conrey_index': 99, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 45036065026737353, 'target_is_minimal': False, 'target_label': '1225.2.b.k.99.3', 'target_level': 1225, 'twist_class_label': '175.2.a.d.1.2', 'twist_class_level': 175, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 48237862
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 81065205643086576, 'source_is_minimal': False, 'source_label': '2800.2.g.s.449.4', 'source_level': 2800, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 81064793326224935, 'target_is_minimal': False, 'target_label': '1575.2.a.s.1.1', 'target_level': 1575, 'twist_class_label': '175.2.a.d.1.2', 'twist_class_level': 175, 'twisting_char_label': '60.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 48237863
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 81065205643086576, 'source_is_minimal': False, 'source_label': '2800.2.g.s.449.4', 'source_level': 2800, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 58546795189372455, 'target_is_minimal': False, 'target_label': '1575.2.a.n.1.2', 'target_level': 1575, 'twist_class_label': '175.2.a.d.1.2', 'twist_class_level': 175, 'twisting_char_label': '60.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 48237864
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 81065205643086576, 'source_is_minimal': False, 'source_label': '2800.2.g.s.449.4', 'source_level': 2800, 'target_conrey_index': 1324, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 45036202465691175, 'target_is_minimal': False, 'target_label': '1575.2.d.k.1324.3', 'target_level': 1575, 'twist_class_label': '175.2.a.d.1.2', 'twist_class_level': 175, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 48237865
    {'conductor': 140, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 81065205643086576, 'source_is_minimal': False, 'source_label': '2800.2.g.s.449.4', 'source_level': 2800, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 90071992580965577, 'target_is_minimal': False, 'target_label': '1225.2.a.u.1.1', 'target_level': 1225, 'twist_class_label': '175.2.a.d.1.2', 'twist_class_level': 175, 'twisting_char_label': '140.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 48237866
    {'conductor': 140, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 81065205643086576, 'source_is_minimal': False, 'source_label': '2800.2.g.s.449.4', 'source_level': 2800, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 58546795189372105, 'target_is_minimal': False, 'target_label': '1225.2.a.n.1.2', 'target_level': 1225, 'twist_class_label': '175.2.a.d.1.2', 'twist_class_level': 175, 'twisting_char_label': '140.83', 'twisting_conrey_index': 83, 'weight': 2}
  • id: 48237867
    {'conductor': 140, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 81065205643086576, 'source_is_minimal': False, 'source_label': '2800.2.g.s.449.4', 'source_level': 2800, 'target_conrey_index': 99, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45036065026737353, 'target_is_minimal': False, 'target_label': '1225.2.b.k.99.2', 'target_level': 1225, 'twist_class_label': '175.2.a.d.1.2', 'twist_class_level': 175, 'twisting_char_label': '140.139', 'twisting_conrey_index': 139, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2857975
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 81065205643086576, 'p': 2}
  • id: 2857976
    {'charpoly_factorization': [[[16, 0, 12, 0, 1], 1]], 'hecke_orbit_code': 81065205643086576, 'p': 3}
  • id: 2857977
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 81065205643086576, 'p': 5}
  • id: 2857978
    {'charpoly_factorization': [[[1, 0, 1], 2]], 'hecke_orbit_code': 81065205643086576, 'p': 7}
  • id: 2857979
    {'charpoly_factorization': [[[-1, 4, 1], 2]], 'hecke_orbit_code': 81065205643086576, 'p': 11}
  • id: 2857980
    {'charpoly_factorization': [[[16, 0, 12, 0, 1], 1]], 'hecke_orbit_code': 81065205643086576, 'p': 13}
  • id: 2857981
    {'charpoly_factorization': [[[256, 0, 48, 0, 1], 1]], 'hecke_orbit_code': 81065205643086576, 'p': 17}
  • id: 2857982
    {'charpoly_factorization': [[[-20, 0, 1], 2]], 'hecke_orbit_code': 81065205643086576, 'p': 19}
  • id: 2857983
    {'charpoly_factorization': [[[121, 0, 42, 0, 1], 1]], 'hecke_orbit_code': 81065205643086576, 'p': 23}
  • id: 2857984
    {'charpoly_factorization': [[[5, 1], 4]], 'hecke_orbit_code': 81065205643086576, 'p': 29}
  • id: 2857985
    {'charpoly_factorization': [[[-36, -6, 1], 2]], 'hecke_orbit_code': 81065205643086576, 'p': 31}
  • id: 2857986
    {'charpoly_factorization': [[[9, 0, 1], 2]], 'hecke_orbit_code': 81065205643086576, 'p': 37}
  • id: 2857987
    {'charpoly_factorization': [[[44, -14, 1], 2]], 'hecke_orbit_code': 81065205643086576, 'p': 41}
  • id: 2857988
    {'charpoly_factorization': [[[121, 0, 42, 0, 1], 1]], 'hecke_orbit_code': 81065205643086576, 'p': 43}
  • id: 2857989
    {'charpoly_factorization': [[[4, 0, 1], 2]], 'hecke_orbit_code': 81065205643086576, 'p': 47}
  • id: 2857990
    {'charpoly_factorization': [[[16, 0, 72, 0, 1], 1]], 'hecke_orbit_code': 81065205643086576, 'p': 53}
  • id: 2857991
    {'charpoly_factorization': [[[-20, -10, 1], 2]], 'hecke_orbit_code': 81065205643086576, 'p': 59}
  • id: 2857992
    {'charpoly_factorization': [[[-36, 6, 1], 2]], 'hecke_orbit_code': 81065205643086576, 'p': 61}
  • id: 2857993
    {'charpoly_factorization': [[[1, 0, 18, 0, 1], 1]], 'hecke_orbit_code': 81065205643086576, 'p': 67}
  • id: 2857994
    {'charpoly_factorization': [[[-41, 4, 1], 2]], 'hecke_orbit_code': 81065205643086576, 'p': 71}
  • id: 2857995
    {'charpoly_factorization': [[[13456, 0, 252, 0, 1], 1]], 'hecke_orbit_code': 81065205643086576, 'p': 73}
  • id: 2857996
    {'charpoly_factorization': [[[-125, 0, 1], 2]], 'hecke_orbit_code': 81065205643086576, 'p': 79}
  • id: 2857997
    {'charpoly_factorization': [[[1936, 0, 92, 0, 1], 1]], 'hecke_orbit_code': 81065205643086576, 'p': 83}
  • id: 2857998
    {'charpoly_factorization': [[[220, 30, 1], 2]], 'hecke_orbit_code': 81065205643086576, 'p': 89}
  • id: 2857999
    {'charpoly_factorization': [[[16, 0, 28, 0, 1], 1]], 'hecke_orbit_code': 81065205643086576, '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': 7, 'hecke_orbit': 19, 'label': '2800.2.g.s', 'level': 2800, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 63532993
    {'hecke_orbit_code': 81065205643086576, 'n': 1, 'trace_an': 4}
  • id: 63532994
    {'hecke_orbit_code': 81065205643086576, 'n': 2, 'trace_an': 0}
  • id: 63532995
    {'hecke_orbit_code': 81065205643086576, 'n': 3, 'trace_an': 0}
  • id: 63532996
    {'hecke_orbit_code': 81065205643086576, 'n': 4, 'trace_an': 0}
  • id: 63532997
    {'hecke_orbit_code': 81065205643086576, 'n': 5, 'trace_an': 0}
  • id: 63532998
    {'hecke_orbit_code': 81065205643086576, 'n': 6, 'trace_an': 0}
  • id: 63532999
    {'hecke_orbit_code': 81065205643086576, 'n': 7, 'trace_an': 0}
  • id: 63533000
    {'hecke_orbit_code': 81065205643086576, 'n': 8, 'trace_an': 0}
  • id: 63533001
    {'hecke_orbit_code': 81065205643086576, 'n': 9, 'trace_an': -12}
  • id: 63533002
    {'hecke_orbit_code': 81065205643086576, 'n': 10, 'trace_an': 0}
  • id: 63533003
    {'hecke_orbit_code': 81065205643086576, 'n': 11, 'trace_an': -8}
  • id: 63533004
    {'hecke_orbit_code': 81065205643086576, 'n': 12, 'trace_an': 0}
  • id: 63533005
    {'hecke_orbit_code': 81065205643086576, 'n': 13, 'trace_an': 0}
  • id: 63533006
    {'hecke_orbit_code': 81065205643086576, 'n': 14, 'trace_an': 0}
  • id: 63533007
    {'hecke_orbit_code': 81065205643086576, 'n': 15, 'trace_an': 0}
  • id: 63533008
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  • id: 63533009
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  • id: 63533010
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  • id: 63533011
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  • id: 63533012
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  • id: 63533013
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  • id: 63533014
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  • id: 63533015
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  • id: 63533016
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  • id: 63533017
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  • id: 63533018
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  • id: 63533019
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  • id: 63533020
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  • id: 63533021
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  • id: 63533022
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  • id: 63533023
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  • id: 63533024
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  • id: 63533025
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  • id: 63533026
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  • id: 63533027
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  • id: 63533028
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  • id: 63533029
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  • id: 63533030
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  • id: 63533031
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  • id: 63533032
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  • id: 63533033
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  • id: 63533034
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  • id: 63533035
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  • id: 63533036
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  • id: 63533037
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  • id: 63533038
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  • id: 63533039
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  • id: 63533040
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  • id: 63533041
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  • id: 63533042
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  • id: 63533043
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  • id: 63533044
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  • id: 63533045
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  • id: 63533046
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  • id: 63533047
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  • id: 63533048
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  • id: 63533049
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  • id: 63533050
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  • id: 63533051
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  • id: 63533052
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  • id: 63533053
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  • id: 63533054
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  • id: 63533055
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  • id: 63533056
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  • id: 63533057
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  • id: 63533058
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  • id: 63533059
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  • id: 63533060
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  • id: 63533061
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  • id: 63533062
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  • id: 63533063
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  • id: 63533064
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  • id: 63533065
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  • id: 63533066
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  • id: 63533067
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  • id: 63533068
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  • id: 63533069
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  • id: 63533070
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  • id: 63533071
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  • id: 63533072
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  • id: 63533073
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  • id: 63533074
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  • id: 63533075
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  • id: 63533076
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  • id: 63533077
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  • id: 63533078
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  • id: 63533079
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  • id: 63533080
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  • id: 63533081
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  • id: 63533082
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  • id: 63533083
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  • id: 63533084
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  • id: 63533085
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  • id: 63533086
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  • id: 63533087
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  • id: 63533088
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  • id: 63533089
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  • id: 63533090
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  • id: 63533091
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  • id: 63533092
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  • id: 63533093
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  • id: 63533094
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  • id: 63533095
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  • id: 63533096
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  • id: 63533097
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  • id: 63533098
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  • id: 63533099
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  • id: 63533100
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  • id: 63533101
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  • id: 63533102
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  • id: 63533103
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  • id: 63533104
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  • id: 63533105
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  • id: 63533106
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  • id: 63533107
    {'hecke_orbit_code': 81065205643086576, 'n': 157, 'trace_an': 0}
  • id: 63533108
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  • id: 63533109
    {'hecke_orbit_code': 81065205643086576, 'n': 167, 'trace_an': 0}
  • id: 63533110
    {'hecke_orbit_code': 81065205643086576, 'n': 169, 'trace_an': 28}
  • id: 63533111
    {'hecke_orbit_code': 81065205643086576, 'n': 173, 'trace_an': 0}
  • id: 63533112
    {'hecke_orbit_code': 81065205643086576, 'n': 179, 'trace_an': -40}
  • id: 63533113
    {'hecke_orbit_code': 81065205643086576, 'n': 181, 'trace_an': -12}
  • id: 63533114
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  • id: 63533115
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  • id: 63533116
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  • id: 63533117
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  • id: 63533118
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  • id: 63533119
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  • id: 63533120
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  • id: 63533121
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  • id: 63533122
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  • id: 63533123
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  • id: 63533124
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  • id: 63533125
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  • id: 63533126
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  • id: 63533127
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  • id: 63533128
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  • id: 63533129
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  • id: 63533130
    {'hecke_orbit_code': 81065205643086576, 'n': 269, 'trace_an': 20}
  • id: 63533131
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  • id: 63533132
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  • id: 63533133
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  • id: 63533134
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  • id: 63533135
    {'hecke_orbit_code': 81065205643086576, 'n': 289, 'trace_an': -28}
  • id: 63533136
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  • id: 63533137
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  • id: 63533138
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  • id: 63533139
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  • id: 63533140
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  • id: 63533141
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  • id: 63533142
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  • id: 63533143
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  • id: 63533144
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  • id: 63533145
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  • id: 63533146
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  • id: 63533147
    {'hecke_orbit_code': 81065205643086576, 'n': 359, 'trace_an': -40}
  • id: 63533148
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  • id: 63533149
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  • id: 63533150
    {'hecke_orbit_code': 81065205643086576, 'n': 373, 'trace_an': 0}
  • id: 63533151
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  • id: 63533152
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  • id: 63533153
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  • id: 63533154
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  • id: 63533155
    {'hecke_orbit_code': 81065205643086576, 'n': 401, 'trace_an': 28}
  • id: 63533156
    {'hecke_orbit_code': 81065205643086576, 'n': 409, 'trace_an': -80}
  • id: 63533157
    {'hecke_orbit_code': 81065205643086576, 'n': 419, 'trace_an': -60}
  • id: 63533158
    {'hecke_orbit_code': 81065205643086576, 'n': 421, 'trace_an': -52}
  • id: 63533159
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  • id: 63533160
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  • id: 63533161
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  • id: 63533162
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  • id: 63533163
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  • id: 63533164
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  • id: 63533165
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  • id: 63533166
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  • id: 63533167
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  • id: 63533168
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  • id: 63533169
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  • id: 63533170
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  • id: 63533171
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  • id: 63533172
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  • id: 63533173
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  • id: 63533174
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  • id: 63533175
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  • id: 63533176
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  • id: 63533177
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  • id: 63533178
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  • id: 63533179
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  • id: 63533180
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  • id: 63533181
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  • id: 63533182
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  • id: 63533183
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  • id: 63533184
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  • id: 63533185
    {'hecke_orbit_code': 81065205643086576, 'n': 587, 'trace_an': 0}
  • id: 63533186
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  • id: 63533187
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  • id: 63533188
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  • id: 63533189
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  • id: 63533190
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  • id: 63533191
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  • id: 63533192
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  • id: 63533193
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  • id: 63533194
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  • id: 63533195
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  • id: 63533196
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  • id: 63533197
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  • id: 63533198
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  • id: 63533199
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  • id: 63533200
    {'hecke_orbit_code': 81065205643086576, 'n': 661, 'trace_an': 8}
  • id: 63533201
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  • id: 63533202
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  • id: 63533204
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  • id: 63533205
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  • id: 63533206
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  • id: 63533207
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  • id: 63533208
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  • id: 63533211
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  • id: 63533212
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  • id: 63533213
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  • id: 63533214
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  • id: 63533215
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  • id: 63533216
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  • id: 63533217
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  • id: 63533219
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  • id: 63533220
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  • id: 63533221
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  • id: 63533222
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  • id: 63533223
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  • id: 63533224
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  • id: 63533225
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  • id: 63533226
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  • id: 63533227
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  • id: 63533228
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  • id: 63533229
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  • id: 63533230
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  • id: 63533231
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  • id: 63533232
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  • id: 63533233
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  • id: 63533234
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  • id: 63533235
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  • id: 63533236
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  • id: 63533237
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  • id: 63533238
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  • id: 63533239
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  • id: 63533240
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  • id: 63533241
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  • id: 63533242
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  • id: 63533243
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  • id: 63533244
    {'hecke_orbit_code': 81065205643086576, 'n': 961, 'trace_an': 92}
  • id: 63533245
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  • id: 63533246
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  • id: 63533247
    {'hecke_orbit_code': 81065205643086576, 'n': 977, 'trace_an': 0}
  • id: 63533248
    {'hecke_orbit_code': 81065205643086576, 'n': 983, 'trace_an': 0}
  • id: 63533249
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  • id: 63533250
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