Newform data - 1872.2.c.k

Formats: - HTML - YAML - JSON - 2025-09-11T03:22:34.474069

• 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': 7488, 'analytic_conductor': 14.947995258383688, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 13, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [1872, 2, [703, 469, 209, 145], [2, 2, 2, 1]], 'cm_discs': [-39], 'conrey_index': 1585, 'dim': 4, 'field_disc': 8112, 'field_disc_factorization': [[2, 4], [3, 1], [13, 2]], 'field_poly': [3, 0, 5, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [48, 0, 20, 0, 1]], [7, [0, 1]], [11, [432, 0, 44, 0, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45036133746214736, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 8, 'hecke_ring_index_factorization': [[2, 3]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 39, 4, -1, 2, -39], [1, 1, 13, 2, 1, 2, 0], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '1872.2.c.k', 'level': 1872, '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, 13], 'level_radical': 78, 'minimal_twist': '117.2.b.b', 'nf_label': '4.0.8112.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{1}q^{5}+(\\beta _{1}-\\beta _{2})q^{11}+\\beta _{3}q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.1.d2', 'self_twist_discs': [-39], 'self_twist_type': 1, 'space_label': '1872.2.c', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1218767378293058031, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.014', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.332', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.978', 'prec': 17}, {'__RealLiteral__': 0, 'data': '151.088', 'prec': 24}, {'__RealLiteral__': 0, 'data': '67.896', 'prec': 20}, {'__RealLiteral__': 0, 'data': '7755.697', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.886', 'prec': 17}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 28, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44, 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, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 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, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 112, 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, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -68, 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, 104, 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, 16, 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, 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, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, -136, 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, 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, 152, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, -92, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 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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, -140, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 200, 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, 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, 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, 148, 0, 0, 0, 0, 0, 416, 0, 0, 0, 0, 0, -280, 0, 0, 0, 0, 0, 0, 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, 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, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, -232, 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, -272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 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, 104, 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, 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, -320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 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, -164, 0, 0, 0, 0, 0, 0, 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, 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, -224, 0, 0, 0, 0, 0, 152, 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, 304, 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, -328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 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, 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, -32, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 296, 0, 0, 0, 0, 0, 256, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 1, -1, 0], [0, 0, 0, 0], [0, 0, 0, 1], [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], [-5, 0, 0, 2], [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, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -1, -2, 0], [0, 0, 0, 0], [4, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -3, 1, 0], [0, 0, 0, 0], [7, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-8, 0, 0, 4], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 3, 1, 0], [0, 0, 0, 0], [0, 0, 0, 2], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -3, 2, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -1, 3, 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, 4], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -1, -3, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 3, 2, 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]], 'ap': [[0, 0, 0, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 0], [0, 1, -1, 0], [0, 0, 0, 1], [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, -1, -2, 0], [4, 0, 0, 0], [0, -3, 1, 0], [0, 0, 0, 0], [0, 3, 1, 0], [0, 0, 0, 2], [0, 0, 0, 0], [0, -1, 3, 0], [0, 0, 0, 0], [0, 0, 0, 4], [0, -1, -3, 0], [0, 3, 2, 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, 4], [0, 0, 0, 0], [0, 5, -2, 0], [-20, 0, 0, 0], [0, 3, -4, 0], [0, 0, 0, 0], [2, 0, 0, 0], [0, 0, 0, 0], [0, 5, -3, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-10, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -3, -4, 0], [0, 0, 0, 4], [0, 0, 0, -8], [0, 0, 0, 0], [0, 5, 3, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 7, -1, 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], [-22, 0, 0, 0], [0, 1, -6, 0], [0, 0, 0, -8], [0, 5, 4, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 2], [0, -7, 4, 0], [0, 0, 0, 0], [0, 0, 0, -10], [0, 0, 0, 0], [0, 0, 0, 0], [0, -5, 6, 0], [0, -7, -3, 0], [-8, 0, 0, 0], [0, 0, 0, -10], [0, 0, 0, 0], [0, 1, -7, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -9, 2, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 9, 1, 0], [0, 0, 0, -10], [40, 0, 0, 0], [0, 0, 0, 0], [0, 7, -6, 0], [0, 0, 0, 0], [0, 9, -4, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 3, 7, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -3, 8, 0], [0, 0, 0, 0], [-44, 0, 0, 0], [0, 0, 0, 0], [28, 0, 0, 0], [0, 5, -8, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, -8], [0, 0, 0, 0], [0, -5, -7, 0], [0, 11, -2, 0], [0, 0, 0, 0], [0, 0, 0, 2], [-32, 0, 0, 0], [0, 0, 0, 0], [0, 7, 6, 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], [14, 0, 0, 0], [0, 0, 0, 0], [0, 5, -9, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 4], [0, 0, 0, 0], [0, 0, 0, 0], [0, 11, 3, 0], [40, 0, 0, 0], [0, 0, 0, -10], [0, -11, 6, 0], [0, 0, 0, 0], [0, -9, 8, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 11, 4, 0], [-56, 0, 0, 0], [0, 13, -1, 0], [0, 0, 0, 14], [0, -13, 3, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 16], [0, 5, 9, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, -8], [0, 0, 0, 0], [0, 0, 0, 16], [0, 0, 0, 0], [0, 0, 0, 4], [0, -13, -2, 0], [0, 0, 0, 14], [0, 11, -8, 0], [0, 3, -11, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 13, -6, 0], [0, -5, 11, 0], [-8, 0, 0, 0], [-58, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -7, -9, 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, 9, 8, 0], [64, 0, 0, 0], [0, 0, 0, 14], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, -10], [0, -15, 2, 0], [0, -15, 1, 0], [0, 0, 0, 0], [62, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -11, -7, 0], [-46, 0, 0, 0], [0, 15, 1, 0], [28, 0, 0, 0], [0, 1, 12, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 2], [0, 15, 2, 0], [0, 0, 0, 0], [0, 7, -12, 0], [-32, 0, 0, 0], [0, 0, 0, 0], [50, 0, 0, 0], [0, -13, 9, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 13, 6, 0], [0, 0, 0, -8], [0, 0, 0, -10], [0, 0, 0, 0], [0, 0, 0, -20], [0, -15, 7, 0], [0, -3, 13, 0], [0, 0, 0, 0], [0, 0, 0, -20], [0, 0, 0, 0], [0, 7, 11, 0], [0, -15, -4, 0], [-70, 0, 0, 0], [0, 0, 0, 0], [0, 17, -2, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-10, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, -20], [0, 11, 9, 0], [14, 0, 0, 0], [-44, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [76, 0, 0, 0], [0, -17, -1, 0], [0, 0, 0, 0], [0, -11, 12, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -9, 13, 0], [0, 0, 0, -8], [0, 0, 0, -20], [0, 0, 0, 0], [0, 5, -14, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -9, -11, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -1, -14, 0], [0, -5, -13, 0], [0, 0, 0, 14], [0, 0, 0, 0], [0, 17, 3, 0], [0, 0, 0, -22], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, -20], [0, 0, 0, 0], [0, 0, 0, 0], [-34, 0, 0, 0], [0, 3, 14, 0], [0, 0, 0, 16], [0, 17, 4, 0], [0, -9, 14, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 2], [0, 0, 0, 0], [0, 0, 0, 0], [-56, 0, 0, 0], [0, 0, 0, -10], [0, 0, 0, 0], [0, 17, -9, 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, -22], [0, 15, 8, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -19, -2, 0], [0, 19, -7, 0], [-46, 0, 0, 0], [0, 0, 0, 0], [-80, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [74, 0, 0, 0], [0, 3, -16, 0], [64, 0, 0, 0]], 'char_orbit_index': 3, 'field_poly': [3, 0, 5, 0, 1], 'hecke_orbit_code': 45036133746214736, 'hecke_ring_character_values': [[703, [1, 0, 0, 0]], [469, [1, 0, 0, 0]], [209, [1, 0, 0, 0]], [145, [-1, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_denominators': [1, 2, 2, 2], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [-5, 0, 0, 1], [0, -4, 1, 0]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 2, 0, 0], [0, 8, 0, 2], [5, 0, 2, 0]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '1872.2.c.k', 'level': 1872, 'maxp': 1999, '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': 7488, 'analytic_conductor': 14.947995258383688, 'char_conductor': 13, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [1872, 2, [703, 469, 209, 145], [2, 2, 2, 1]], 'conrey_index': 1585, 'cusp_dim': 312, 'dim': 34, 'eis_dim': 48, 'eis_new_dim': 2, 'hecke_cutter_primes': [5, 7, 11], 'hecke_orbit_code': 137472509776, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 8], 'label': '1872.2.c', 'level': 1872, '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, 13], 'level_radical': 78, 'mf_dim': 360, 'mf_new_dim': 36, 'num_forms': 12, 'prim_orbit_index': 2, 'relative_dim': 34, 'sturm_bound': 672, 'trace_bound': 17, 'trace_display': [0, 0, 0, 0], 'traces': [34, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 4, 0, 0, 0, 0, 0, -8, 0, -34, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -30, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 24, 0, 0, 0, 0, 0, -16, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 32, 0, 0, 0, -84, 0, 16, 0, 0, 0, 0, 0, 20, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 24, 0, 0, 0, 0, 0, 52, 0, -28, 0, 0, 0, -20, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, -24, 0, 0, 0, -48, 0, 52, 0, 0, 0, 0, 0, 40, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, -48, 0, 0, 0, 0, 0, 20, 0, -52, 0, 0, 0, -48, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -48, 0, 0, 0, 128, 0, 34, 0, 0, 0, 0, 0, -8, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26, 0, 0, 0, -44, 0, 0, 0, 0, 0, -160, 0, 24, 0, 0, 0, -48, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 30, 0, 0, 0, -88, 0, 104, 0, 0, 0, 0, 0, 20, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 144, 0, 0, 0, 0, 0, 24, 0, -40, 0, 0, 0, 52, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, -96, 0, 0, 0, 0, 0, 164, 0, 48, 0, 0, 0, 20, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 40, 0, 0, 0, 84, 0, 16, 0, 0, 0, 0, 0, 66, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 156, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, -140, 0, 0, 0, 0, 0, -52, 0, -252, 0, 0, 0, -176, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -292, 0, 0, 0, 200, 0, 80, 0, 0, 0, 0, 0, -16, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -110, 0, 0, 0, 88, 0, 0, 0, 0, 0, -296, 0, -72, 0, 0, 0, 32, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 8, 0, 0, 0, 88, 0, 32, 0, 0, 0, 0, 0, -16, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 144, 0, 0, 0, 0, 0, 48, 0, 104, 0, 0, 0, 76, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 56, 0, 0, 0, -284, 0, 100, 0, 0, 0, 0, 0, 132, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 8, 0, 0, 0, 0, 0, 320, 0, -40, 0, 0, 0, -92, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -132, 0, 0, 0, -104, 0, -192, 0, 0, 0, 0, 0, -26, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, -244, 0, 0, 0, 0, 0, -28, 0, 84, 0, 0, 0, -112, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, -228, 0, 0, 0, 304, 0, 88, 0, 0, 0, 0, 0, 120, 0, 0, 0, -204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, -172, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, -36, 0, 0, 0, 0, 0, -328, 0, 6, 0, 0, 0, -8, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, -20, 0, 0, 0, -136, 0, 240, 0, 0, 0, 0, 0, 36, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 830568
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 4, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '1872.2.c.k', 'source_level': 1872, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '117.2.b.b', 'target_level': 117, 'twist_class_label': '117.2.b.b', 'twist_class_level': 117, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 830569
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 4, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '1872.2.c.k', 'source_level': 1872, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '117.2.b.b', 'target_level': 117, 'twist_class_label': '117.2.b.b', 'twist_class_level': 117, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 830570
    {'conductor': 52, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 4, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '1872.2.c.k', 'source_level': 1872, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '117.2.b.b', 'target_level': 117, 'twist_class_label': '117.2.b.b', 'twist_class_level': 117, 'twisting_char_label': '52.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 830571
    {'conductor': 156, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 4, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '1872.2.c.k', 'source_level': 1872, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '117.2.b.b', 'target_level': 117, 'twist_class_label': '117.2.b.b', 'twist_class_level': 117, 'twisting_char_label': '156.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 830572
    {'conductor': 52, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 4, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '1872.2.c.k', 'source_level': 1872, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 20, 'target_is_minimal': False, 'target_label': '1521.2.a.t', 'target_level': 1521, 'twist_class_label': '117.2.b.b', 'twist_class_level': 117, 'twisting_char_label': '52.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 830573
    {'conductor': 156, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 4, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '1872.2.c.k', 'source_level': 1872, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 20, 'target_is_minimal': False, 'target_label': '1521.2.a.t', 'target_level': 1521, 'twist_class_label': '117.2.b.b', 'twist_class_level': 117, 'twisting_char_label': '156.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 830574
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 3, 'source_dim': 4, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '1872.2.c.k', 'source_level': 1872, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '1872.2.c.k', 'target_level': 1872, 'twist_class_label': '117.2.b.b', 'twist_class_level': 117, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 830575
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 4, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '1872.2.c.k', 'source_level': 1872, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '1872.2.c.k', 'target_level': 1872, 'twist_class_label': '117.2.b.b', 'twist_class_level': 117, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 830576
    {'conductor': 13, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 4, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '1872.2.c.k', 'source_level': 1872, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '1872.2.c.k', 'target_level': 1872, 'twist_class_label': '117.2.b.b', 'twist_class_level': 117, 'twisting_char_label': '13.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 830577
    {'conductor': 39, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -39, 'source_char_orbit': 3, 'source_dim': 4, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '1872.2.c.k', 'source_level': 1872, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '1872.2.c.k', 'target_level': 1872, 'twist_class_label': '117.2.b.b', 'twist_class_level': 117, 'twisting_char_label': '39.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2267800
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 45036133746214736, 'p': 2}
  • id: 2267801
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 45036133746214736, 'p': 3}
  • id: 2267802
    {'charpoly_factorization': [[[48, 0, 20, 0, 1], 1]], 'hecke_orbit_code': 45036133746214736, 'p': 5}
  • id: 2267803
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 45036133746214736, 'p': 7}
  • id: 2267804
    {'charpoly_factorization': [[[432, 0, 44, 0, 1], 1]], 'hecke_orbit_code': 45036133746214736, 'p': 11}
  • id: 2267805
    {'charpoly_factorization': [[[-13, 0, 1], 2]], 'hecke_orbit_code': 45036133746214736, 'p': 13}
  • id: 2267806
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 45036133746214736, 'p': 17}
  • id: 2267807
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 45036133746214736, 'p': 19}
  • id: 2267808
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 45036133746214736, 'p': 23}
  • id: 2267809
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 45036133746214736, 'p': 29}
  • id: 2267810
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 45036133746214736, 'p': 31}
  • id: 2267811
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 45036133746214736, 'p': 37}
  • id: 2267812
    {'charpoly_factorization': [[[432, 0, 164, 0, 1], 1]], 'hecke_orbit_code': 45036133746214736, 'p': 41}
  • id: 2267813
    {'charpoly_factorization': [[[-4, 1], 4]], 'hecke_orbit_code': 45036133746214736, 'p': 43}
  • id: 2267814
    {'charpoly_factorization': [[[48, 0, 188, 0, 1], 1]], 'hecke_orbit_code': 45036133746214736, 'p': 47}
  • id: 2267815
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 45036133746214736, 'p': 53}
  • id: 2267816
    {'charpoly_factorization': [[[13872, 0, 236, 0, 1], 1]], 'hecke_orbit_code': 45036133746214736, 'p': 59}
  • id: 2267817
    {'charpoly_factorization': [[[-52, 0, 1], 2]], 'hecke_orbit_code': 45036133746214736, 'p': 61}
  • id: 2267818
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 45036133746214736, 'p': 67}
  • id: 2267819
    {'charpoly_factorization': [[[13872, 0, 284, 0, 1], 1]], 'hecke_orbit_code': 45036133746214736, 'p': 71}
  • id: 2267820
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 45036133746214736, 'p': 73}
  • id: 2267821
    {'charpoly_factorization': [[[-208, 0, 1], 2]], 'hecke_orbit_code': 45036133746214736, 'p': 79}
  • id: 2267822
    {'charpoly_factorization': [[[48, 0, 332, 0, 1], 1]], 'hecke_orbit_code': 45036133746214736, 'p': 83}
  • id: 2267823
    {'charpoly_factorization': [[[25392, 0, 356, 0, 1], 1]], 'hecke_orbit_code': 45036133746214736, 'p': 89}
  • id: 2267824
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 45036133746214736, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 3, 'hecke_orbit': 11, 'label': '1872.2.c.k', 'level': 1872, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 55410637
    {'hecke_orbit_code': 45036133746214736, 'n': 1, 'trace_an': 4}
  • id: 55410638
    {'hecke_orbit_code': 45036133746214736, 'n': 2, 'trace_an': 0}
  • id: 55410639
    {'hecke_orbit_code': 45036133746214736, 'n': 3, 'trace_an': 0}
  • id: 55410640
    {'hecke_orbit_code': 45036133746214736, 'n': 4, 'trace_an': 0}
  • id: 55410641
    {'hecke_orbit_code': 45036133746214736, 'n': 5, 'trace_an': 0}
  • id: 55410642
    {'hecke_orbit_code': 45036133746214736, 'n': 6, 'trace_an': 0}
  • id: 55410643
    {'hecke_orbit_code': 45036133746214736, 'n': 7, 'trace_an': 0}
  • id: 55410644
    {'hecke_orbit_code': 45036133746214736, 'n': 8, 'trace_an': 0}
  • id: 55410645
    {'hecke_orbit_code': 45036133746214736, 'n': 9, 'trace_an': 0}
  • id: 55410646
    {'hecke_orbit_code': 45036133746214736, 'n': 10, 'trace_an': 0}
  • id: 55410647
    {'hecke_orbit_code': 45036133746214736, 'n': 11, 'trace_an': 0}
  • id: 55410648
    {'hecke_orbit_code': 45036133746214736, 'n': 12, 'trace_an': 0}
  • id: 55410649
    {'hecke_orbit_code': 45036133746214736, 'n': 13, 'trace_an': 0}
  • id: 55410650
    {'hecke_orbit_code': 45036133746214736, 'n': 14, 'trace_an': 0}
  • id: 55410651
    {'hecke_orbit_code': 45036133746214736, 'n': 15, 'trace_an': 0}
  • id: 55410652
    {'hecke_orbit_code': 45036133746214736, 'n': 16, 'trace_an': 0}
  • id: 55410653
    {'hecke_orbit_code': 45036133746214736, 'n': 17, 'trace_an': 0}
  • id: 55410654
    {'hecke_orbit_code': 45036133746214736, 'n': 18, 'trace_an': 0}
  • id: 55410655
    {'hecke_orbit_code': 45036133746214736, 'n': 19, 'trace_an': 0}
  • id: 55410656
    {'hecke_orbit_code': 45036133746214736, 'n': 20, 'trace_an': 0}
  • id: 55410657
    {'hecke_orbit_code': 45036133746214736, 'n': 21, 'trace_an': 0}
  • id: 55410658
    {'hecke_orbit_code': 45036133746214736, 'n': 22, 'trace_an': 0}
  • id: 55410659
    {'hecke_orbit_code': 45036133746214736, 'n': 23, 'trace_an': 0}
  • id: 55410660
    {'hecke_orbit_code': 45036133746214736, 'n': 24, 'trace_an': 0}
  • id: 55410661
    {'hecke_orbit_code': 45036133746214736, 'n': 25, 'trace_an': -20}
  • id: 55410662
    {'hecke_orbit_code': 45036133746214736, 'n': 26, 'trace_an': 0}
  • id: 55410663
    {'hecke_orbit_code': 45036133746214736, 'n': 27, 'trace_an': 0}
  • id: 55410664
    {'hecke_orbit_code': 45036133746214736, 'n': 28, 'trace_an': 0}
  • id: 55410665
    {'hecke_orbit_code': 45036133746214736, 'n': 29, 'trace_an': 0}
  • id: 55410666
    {'hecke_orbit_code': 45036133746214736, 'n': 30, 'trace_an': 0}
  • id: 55410667
    {'hecke_orbit_code': 45036133746214736, 'n': 31, 'trace_an': 0}
  • id: 55410668
    {'hecke_orbit_code': 45036133746214736, 'n': 32, 'trace_an': 0}
  • id: 55410669
    {'hecke_orbit_code': 45036133746214736, 'n': 33, 'trace_an': 0}
  • id: 55410670
    {'hecke_orbit_code': 45036133746214736, 'n': 34, 'trace_an': 0}
  • id: 55410671
    {'hecke_orbit_code': 45036133746214736, 'n': 35, 'trace_an': 0}
  • id: 55410672
    {'hecke_orbit_code': 45036133746214736, 'n': 36, 'trace_an': 0}
  • id: 55410673
    {'hecke_orbit_code': 45036133746214736, 'n': 37, 'trace_an': 0}
  • id: 55410674
    {'hecke_orbit_code': 45036133746214736, 'n': 38, 'trace_an': 0}
  • id: 55410675
    {'hecke_orbit_code': 45036133746214736, 'n': 39, 'trace_an': 0}
  • id: 55410676
    {'hecke_orbit_code': 45036133746214736, 'n': 40, 'trace_an': 0}
  • id: 55410677
    {'hecke_orbit_code': 45036133746214736, 'n': 41, 'trace_an': 0}
  • id: 55410678
    {'hecke_orbit_code': 45036133746214736, 'n': 42, 'trace_an': 0}
  • id: 55410679
    {'hecke_orbit_code': 45036133746214736, 'n': 43, 'trace_an': 16}
  • id: 55410680
    {'hecke_orbit_code': 45036133746214736, 'n': 44, 'trace_an': 0}
  • id: 55410681
    {'hecke_orbit_code': 45036133746214736, 'n': 45, 'trace_an': 0}
  • id: 55410682
    {'hecke_orbit_code': 45036133746214736, 'n': 46, 'trace_an': 0}
  • id: 55410683
    {'hecke_orbit_code': 45036133746214736, 'n': 47, 'trace_an': 0}
  • id: 55410684
    {'hecke_orbit_code': 45036133746214736, 'n': 48, 'trace_an': 0}
  • id: 55410685
    {'hecke_orbit_code': 45036133746214736, 'n': 49, 'trace_an': 28}
  • id: 55410686
    {'hecke_orbit_code': 45036133746214736, 'n': 50, 'trace_an': 0}
  • id: 55410687
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  • id: 55410688
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  • id: 55410689
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  • id: 55410690
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  • id: 55410691
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  • id: 55410692
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  • id: 55410693
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  • id: 55410694
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  • id: 55410695
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  • id: 55410696
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  • id: 55410697
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  • id: 55410698
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  • id: 55410699
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  • id: 55410700
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  • id: 55410701
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  • id: 55410702
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  • id: 55410703
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  • id: 55410704
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  • id: 55410705
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  • id: 55410706
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  • id: 55410707
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  • id: 55410708
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  • id: 55410709
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  • id: 55410710
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  • id: 55410711
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  • id: 55410712
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  • id: 55410713
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  • id: 55410714
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  • id: 55410715
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  • id: 55410716
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  • id: 55410717
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  • id: 55410718
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  • id: 55410719
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  • id: 55410720
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  • id: 55410721
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  • id: 55410722
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  • id: 55410723
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  • id: 55410724
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  • id: 55410725
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  • id: 55410726
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  • id: 55410727
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  • id: 55410728
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  • id: 55410729
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  • id: 55410730
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  • id: 55410731
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  • id: 55410732
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  • id: 55410733
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  • id: 55410734
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  • id: 55410735
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  • id: 55410736
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  • id: 55410737
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  • id: 55410738
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  • id: 55410739
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  • id: 55410740
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  • id: 55410741
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  • id: 55410742
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  • id: 55410743
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  • id: 55410744
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  • id: 55410745
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  • id: 55410746
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  • id: 55410747
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  • id: 55410748
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  • id: 55410749
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  • id: 55410750
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  • id: 55410751
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  • id: 55410752
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  • id: 55410753
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  • id: 55410754
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  • id: 55410755
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  • id: 55410756
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  • id: 55410757
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  • id: 55410758
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  • id: 55410759
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  • id: 55410760
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  • id: 55410761
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  • id: 55410762
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  • id: 55410763
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  • id: 55410764
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  • id: 55410765
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  • id: 55410766
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  • id: 55410767
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  • id: 55410768
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  • id: 55410769
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  • id: 55410770
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  • id: 55410771
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  • id: 55410772
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  • id: 55410773
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  • id: 55410774
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  • id: 55410775
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  • id: 55410776
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  • id: 55410777
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  • id: 55410778
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  • id: 55410779
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  • id: 55410780
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  • id: 55410781
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  • id: 55410782
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  • id: 55410783
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  • id: 55410784
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  • id: 55410785
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  • id: 55410786
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  • id: 55410787
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  • id: 55410788
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  • id: 55410789
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  • id: 55410790
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  • id: 55410791
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  • id: 55410792
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  • id: 55410793
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  • id: 55410794
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  • id: 55410795
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  • id: 55410796
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  • id: 55410797
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  • id: 55410798
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  • id: 55410799
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  • id: 55410800
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  • id: 55410801
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  • id: 55410802
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  • id: 55410803
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  • id: 55410804
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  • id: 55410805
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  • id: 55410806
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  • id: 55410807
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  • id: 55410808
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  • id: 55410809
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  • id: 55410810
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  • id: 55410811
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  • id: 55410812
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  • id: 55410813
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  • id: 55410814
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  • id: 55410815
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  • id: 55410816
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  • id: 55410817
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  • id: 55410818
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  • id: 55410819
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  • id: 55410820
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  • id: 55410821
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  • id: 55410822
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  • id: 55410823
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  • id: 55410824
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  • id: 55410825
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  • id: 55410826
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  • id: 55410827
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  • id: 55410828
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  • id: 55410829
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  • id: 55410830
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  • id: 55410831
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  • id: 55410832
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  • id: 55410833
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  • id: 55410834
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  • id: 55410835
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  • id: 55410836
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  • id: 55410837
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  • id: 55410838
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  • id: 55410839
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  • id: 55410840
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  • id: 55410841
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  • id: 55410842
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  • id: 55410843
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  • id: 55410844
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  • id: 55410845
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  • id: 55410846
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  • id: 55410847
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  • id: 55410848
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  • id: 55410849
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  • id: 55410850
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  • id: 55410851
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  • id: 55410852
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  • id: 55410853
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  • id: 55410854
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  • id: 55410855
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  • id: 55410856
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  • id: 55410857
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  • id: 55410858
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  • id: 55410859
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  • id: 55410860
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  • id: 55410861
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  • id: 55410862
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  • id: 55410863
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  • id: 55410864
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  • id: 55410865
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  • id: 55410866
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  • id: 55410867
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  • id: 55410868
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  • id: 55410869
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  • id: 55410870
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  • id: 55410871
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  • id: 55410872
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  • id: 55410873
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  • id: 55410874
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  • id: 55410875
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  • id: 55410876
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  • id: 55410877
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  • id: 55410878
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  • id: 55410879
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  • id: 55410880
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  • id: 55410881
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  • id: 55410882
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  • id: 55410883
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  • id: 55410884
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  • id: 55410885
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  • id: 55410886
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  • id: 55410887
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  • id: 55410888
    {'hecke_orbit_code': 45036133746214736, 'n': 961, 'trace_an': 124}
  • id: 55410889
    {'hecke_orbit_code': 45036133746214736, 'n': 967, 'trace_an': 0}
  • id: 55410890
    {'hecke_orbit_code': 45036133746214736, 'n': 971, 'trace_an': 0}
  • id: 55410891
    {'hecke_orbit_code': 45036133746214736, 'n': 977, 'trace_an': 0}
  • id: 55410892
    {'hecke_orbit_code': 45036133746214736, 'n': 983, 'trace_an': 0}
  • id: 55410893
    {'hecke_orbit_code': 45036133746214736, 'n': 991, 'trace_an': -32}
  • id: 55410894
    {'hecke_orbit_code': 45036133746214736, 'n': 997, 'trace_an': -232}