Newform data - 2736.2.s.n

Formats: - HTML - YAML - JSON - 2023-06-04T17:13:10.102957

• 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_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 10944, 'analytic_conductor': 21.847069993022313, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 19, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 19, 'char_orbit_label': 's', 'char_order': 3, 'char_parity': 1, 'char_values': [2736, 3, [1711, 2053, 1217, 1009], [3, 3, 3, 1]], 'cm_discs': [], 'conrey_indexes': [577, 1873], 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [4, -2, 1]], [7, [3, 1]], [11, [6, 1]], [13, [1, -1, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58548032139954864, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 19, 3, 1, 3, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2736.2.s.n', 'level': 2736, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 19], 'level_radical': 114, 'minimal_twist': '1368.2.s.c', 'nf_label': '2.0.3.1', 'prim_orbit_index': 3, 'qexp_display': 'q+(2-2\\zeta_{6})q^{5}-3q^{7}-6q^{11}+\\zeta_{6}q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2736.2.s', 'trace_display': [0, 0, 2, -6], 'trace_hash': 670719308721298818, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.896', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.065', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.525', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1.125', 'prec': 17}, {'__RealLiteral__': 0, 'data': '90.606', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.021', 'prec': 17}, 'traces': [2, 0, 0, 0, 2, 0, -6, 0, 0, 0, -12, 0, 1, 0, 0, 0, 2, 0, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 0, -6, 0, -14, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 4, 0, 0, 0, 4, 0, -12, 0, 0, 0, -8, 0, 11, 0, 0, 0, 4, 0, 15, 0, 0, 0, -6, 0, -9, 0, 0, 0, 36, 0, -13, 0, 0, 0, -28, 0, -4, 0, 0, 0, -12, 0, -3, 0, 0, 0, 2, 0, -10, 0, 0, 0, -6, 0, 10, 0, 0, 0, 20, 0, -18, 0, 0, 0, 32, 0, 0, 0, 0, 0, -6, 0, 50, 0, 0, 0, 24, 0, 0, 0, 0, 0, 18, 0, -24, 0, 0, 0, -18, 0, 5, 0, 0, 0, -6, 0, 8, 0, 0, 0, 2, 0, 8, 0, 0, 0, 2, 0, -5, 0, 0, 0, 0, 0, -38, 0, 0, 0, 8, 0, 12, 0, 0, 0, -14, 0, -3, 0, 0, 0, 24, 0, 10, 0, 0, 0, -14, 0, -12, 0, 0, 0, 12, 0, 9, 0, 0, 0, -24, 0, 3, 0, 0, 0, -6, 0, 0, 0, 0, 0, -48, 0, 9, 0, 0, 0, 2, 0, -6, 0, 0, 0, 4, 0, -5, 0, 0, 0, 44, 0, -34, 0, 0, 0, -10, 0, 0, 0, 0, 0, -36, 0, -9, 0, 0, 0, 4, 0, 7, 0, 0, 0, 16, 0, 0, 0, 0, 0, 12, 0, 42, 0, 0, 0, -10, 0, 16, 0, 0, 0, -32, 0, 16, 0, 0, 0, -6, 0, -60, 0, 0, 0, -10, 0, 4, 0, 0, 0, 0, 0, 13, 0, 0, 0, -40, 0, 16, 0, 0, 0, 0, 0, 3, 0, 0, 0, 44, 0, -20, 0, 0, 0, -40, 0, 10, 0, 0, 0, -30, 0, -12, 0, 0, 0, 2, 0, -1, 0, 0, 0, 0, 0, -14, 0, 0, 0, 60, 0, 15, 0, 0, 0, -12, 0, 30, 0, 0, 0, 18, 0, 10, 0, 0, 0, -28, 0, 12, 0, 0, 0, 20, 0, 26, 0, 0, 0, 18, 0, -35, 0, 0, 0, -12, 0, 20, 0, 0, 0, -2, 0, -54, 0, 0, 0, 14, 0, 36, 0, 0, 0, -32, 0, 0, 0, 0, 0, 26, 0, -25, 0, 0, 0, -24, 0, 1, 0, 0, 0, 84, 0, 38, 0, 0, 0, 24, 0, -28, 0, 0, 0, -36, 0, -26, 0, 0, 0, 4, 0, -33, 0, 0, 0, -36, 0, -19, 0, 0, 0, 0, 0, 13, 0, 0, 0, -10, 0, -48, 0, 0, 0, 36, 0, 0, 0, 0, 0, -12, 0, 50, 0, 0, 0, -36, 0, 62, 0, 0, 0, 16, 0, -45, 0, 0, 0, 6, 0, 7, 0, 0, 0, 22, 0, -7, 0, 0, 0, 20, 0, 16, 0, 0, 0, -34, 0, 8, 0, 0, 0, 18, 0, 25, 0, 0, 0, 30, 0, -24, 0, 0, 0, -20, 0, 27, 0, 0, 0, 10, 0, 0, 0, 0, 0, 28, 0, -31, 0, 0, 0, 2, 0, 23, 0, 0, 0, 0, 0, 20, 0, 0, 0, -24, 0, -31, 0, 0, 0, 36, 0, -5, 0, 0, 0, 14, 0, 39, 0, 0, 0, -10, 0, -2, 0, 0, 0, -92, 0, 32, 0, 0, 0, 56, 0, 38, 0, 0, 0, 0, 0, -20, 0, 0, 0, 84, 0, -24, 0, 0, 0, -28, 0, 8, 0, 0, 0, -36, 0, 12, 0, 0, 0, -14, 0, -2, 0, 0, 0, 50, 0, -54, 0, 0, 0, 0, 0, -14, 0, 0, 0, 30, 0, -2, 0, 0, 0, 36, 0, 19, 0, 0, 0, -14, 0, 31, 0, 0, 0, 0, 0, 2, 0, 0, 0, 24, 0, 5, 0, 0, 0, -76, 0, 48, 0, 0, 0, 12, 0, -36, 0, 0, 0, 6, 0, -14, 0, 0, 0, -6, 0, 0, 0, 0, 0, -66, 0, 30, 0, 0, 0, 16, 0, 30, 0, 0, 0, -20, 0, -72, 0, 0, 0, -4, 0, 72, 0, 0, 0, 20, 0, 0, 0, 0, 0, 30, 0, -56, 0, 0, 0, 18, 0, 33, 0, 0, 0, 0, 0, -24, 0, 0, 0, -8, 0, -30, 0, 0, 0, -2, 0, -17, 0, 0, 0, 2, 0, -28, 0, 0, 0, -90, 0, 7, 0, 0, 0, -6, 0, -4, 0, 0, 0, -60, 0, 11, 0, 0, 0, 8, 0, -47, 0, 0, 0, 80, 0, 54, 0, 0, 0, -16, 0, 13, 0, 0, 0, 40, 0, 1, 0, 0, 0, 0, 0, 36, 0, 0, 0, 10, 0, -10, 0, 0, 0, -96, 0, -11, 0, 0, 0, -84, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, -36, 0, -36, 0, 0, 0, -38, 0, -1, 0, 0, 0, 46, 0, 40, 0, 0, 0, 10, 0, 30, 0, 0, 0, 4, 0, 32, 0, 0, 0, -30, 0, 25, 0, 0, 0, -24, 0, -150, 0, 0, 0, 0, 0, -9, 0, 0, 0, -8, 0, -13, 0, 0, 0, 72, 0, 28, 0, 0, 0, 78, 0, -15, 0, 0, 0, -72, 0, -25, 0, 0, 0, 28, 0, 35, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 2, 0, 16, 0, 0, 0, 40, 0, -20, 0, 0, 0, -112, 0, 168, 0, 0, 0, -54, 0, -50, 0, 0, 0, -12, 0, -7, 0, 0, 0, -42, 0, 16, 0, 0, 0, 24, 0, -23, 0, 0, 0, 56, 0, 0, 0, 0, 0, -50, 0, -18, 0, 0, 0, 10, 0, 12, 0, 0, 0, 54, 0, -60, 0, 0, 0, -18, 0, -15, 0, 0, 0, 28, 0, -15, 0, 0, 0, -56, 0, 72, 0, 0, 0, -14, 0, -24, 0, 0, 0, 0, 0, 5, 0, 0, 0, 12, 0, -25, 0, 0, 0, 18, 0, 16, 0, 0, 0, 28, 0, -2, 0, 0, 0, 0, 0, -24, 0, 0, 0, 64, 0, -5, 0, 0, 0, 0, 0, -26, 0, 0, 0, 34, 0, -22, 0, 0, 0, 44, 0, -45, 0, 0, 0, -6, 0, -12, 0, 0, 0, -40, 0, 11, 0, 0, 0, -18, 0, -24, 0, 0, 0, 12, 0, 82, 0, 0, 0, 60, 0, -5, 0, 0, 0, -14, 0, -2, 0, 0, 0, -14, 0, 0, 0, 0, 0, -6, 0, 32, 0, 0, 0, 92, 0, -55, 0, 0, 0, 0, 0, 15, 0, 0, 0, -20, 0, 4, 0, 0, 0, 64, 0, 36, 0, 0, 0, 10, 0, 22, 0, 0, 0, -8, 0, 35, 0, 0, 0, 0, 0, -92, 0, 0, 0, -60, 0, 44, 0, 0, 0, 60, 0, 114, 0, 0, 0, -34, 0, -14, 0, 0, 0, -52, 0, 35, 0, 0, 0, 12, 0, 77, 0, 0, 0, 20, 0, 20, 0, 0, 0, -24, 0, -62, 0, 0, 0, 0, 0, -120, 0, 0, 0, -24, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, -36, 0, 0, 0, 108, 0, 2, 0, 0, 0, -36, 0, 12, 0, 0, 0, 42, 0, -55, 0, 0, 0, -100, 0, 0, 0, 0, 0, 120, 0, 2, 0, 0, 0, 30, 0, -16, 0, 0, 0, 16, 0, 53, 0, 0, 0, 18, 0, -192, 0, 0, 0, -4, 0, 55, 0, 0, 0, -72, 0, 64, 0, 0, 0, 40, 0, -20, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, 105, 0, 0, 0, -32, 0, 8, 0, 0, 0, -24, 0, 48, 0, 0, 0, 48, 0, -34, 0, 0, 0, 42, 0, -43, 0, 0, 0, 26, 0, 30, 0, 0, 0, 62, 0, 36, 0, 0, 0, 6, 0, 20, 0, 0, 0, 80, 0, -15, 0, 0, 0, -4, 0, 0, 0, 0, 0, -168, 0, -1, 0, 0, 0, -36, 0, 5, 0, 0, 0, 26, 0, 64, 0, 0, 0, -6, 0, -27, 0, 0, 0, -32, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 60, 0, 24, 0, 0, 0, 4, 0, -144, 0, 0, 0, 72, 0, 21, 0, 0, 0, -60, 0, -9, 0, 0, 0, 10, 0, -9, 0, 0, 0, 0, 0, 70, 0, 0, 0, 0, 0, -40, 0, 0, 0, 12, 0, -28, 0, 0, 0, -8, 0, -36, 0, 0, 0, 4, 0, 31, 0, 0, 0, -60, 0, 75, 0, 0, 0, -72, 0, 0, 0, 0, 0, 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0, 30, 0, -21, 0, 0, 0, -60, 0, -36, 0, 0, 0, 0, 0, 66, 0, 0, 0, 10, 0, -56, 0, 0, 0, 10, 0, -26, 0, 0, 0, -48, 0, 16, 0, 0, 0, 0, 0, -28, 0, 0, 0, -22, 0, 0, 0, 0, 0, -12, 0, 47, 0, 0, 0, 18, 0, -45, 0, 0, 0, 56, 0, 59, 0, 0, 0, 228, 0, -40, 0, 0, 0, -36, 0, -35, 0, 0, 0, -22, 0, -5, 0, 0, 0, 36, 0, -28, 0, 0, 0, 0, 0, 20, 0, 0, 0, -120, 0, -18, 0, 0, 0, -8, 0, 48, 0, 0, 0, -140, 0, -48, 0, 0, 0, 30, 0, -10, 0, 0, 0, -22, 0, 42, 0, 0, 0, 36, 0, -48, 0, 0, 0, -72, 0, 90, 0, 0, 0, 20, 0, 20, 0, 0, 0, 10, 0, -78, 0, 0, 0, -50, 0, 13, 0, 0, 0, 96, 0, 4, 0, 0, 0, -4, 0, 11, 0, 0, 0, -54, 0, -48, 0, 0, 0, 112, 0, 84, 0, 0, 0, 20, 0, 0, 0, 0, 0, -30, 0, -28, 0, 0, 0, -42, 0, 32, 0, 0, 0, 18, 0, 0, 0, 0, 0, 8, 0, 71, 0, 0, 0, 4, 0, 180, 0, 0, 0, -30, 0, -128, 0, 0, 0, 16, 0, -40, 0, 0, 0, 0, 0, 40, 0, 0, 0, -28, 0, 4, 0, 0, 0, 30, 0, -144, 0, 0, 0, 80, 0, -26, 0, 0, 0, 50, 0, -12, 0, 0, 0, 50, 0, -6, 0, 0, 0, -60, 0, -10, 0, 0, 0, 32, 0, -83, 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], [2, -2], [0, 0], [-3, 0], [0, 0], [0, 0], [0, 0], [-6, 0], [0, 0], [0, 1], [0, 0], [0, 0], [0, 0], [2, -2], [0, 0], [5, -2], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 1], [0, 0], [0, 0], [0, 0], [0, 2], [0, 0], [1, 0], [0, 0], [0, 0], [0, 0], [-6, 6], [0, 0], [-7, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [-1, 1], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [2, 0], [0, 0], [0, 0], [0, 0], [0, 4], [0, 0], [-12, 12], [0, 0], [0, 0], [0, 0], [-8, 8], [0, 0], [0, 11], [0, 0], [0, 0], [0, 0], [2, 0], [0, 0], [0, 15], [0, 0], [0, 0], [0, 0], [-6, 6], [0, 0], [-9, 9], [0, 0], [0, 0], [0, 0], [18, 0], [0, 0], [-13, 13], [0, 0], [0, 0], [0, 0], [-14, 0], [0, 0], [0, -4], [0, 0], [0, 0], [0, 0], [0, -12], [0, 0], [0, -3], [0, 0], [0, 0], [0, 0], [6, -10], [0, 0], [-10, 10], [0, 0], [0, 0], [0, 0]], 'ap': [[0, 0], [0, 0], [2, -2], [-3, 0], [-6, 0], [0, 1], [2, -2], [5, -2], [0, 0], [0, 2], [1, 0], [-7, 0], [0, 0], [-1, 1], [0, 0], [0, 4], [-8, 8], [0, 11], [0, 15], [-6, 6], [-9, 9], [-13, 13], [-14, 0], [0, -12], [-10, 10], [0, -6], [5, 0], [10, 0], [-18, 18], [16, 0], [0, 0], [18, -18], [0, -18], [0, 5], [2, -2], [4, 0], [-5, 5], [-19, 0], [0, 8], [-14, 14], [12, 0], [0, 10], [6, 0], [9, -9], [-12, 0], [0, 3], [9, -9], [-5, 5], [22, 0], [-17, 0], [-10, 10], [-18, 0], [0, -9], [0, 16], [0, 12], [-10, 10], [-32, 32], [16, -16], [-30, 0], [0, -10], [4, -4], [-20, 0], [-20, 20], [-20, 0], [0, 10], [0, -30], [-7, 0], [15, -15], [18, -18], [5, 0], [-14, 0], [20, -20], [0, -35], [10, 0], [-27, 0], [14, -14], [0, -32], [-25, 25], [-24, 24], [0, 38], [-18, 0], [-26, 26], [0, -36], [0, -19], [13, -13], [0, -10], [18, 0], [25, 0], [-36, 36], [31, 0], [8, 0], [0, 22], [8, 0], [-34, 34], [25, -25], [0, 30], [0, -20], [14, 0], [0, -31], [0, -31], [0, -5], [0, -10], [-46, 0], [28, 0], [19, 0], [-10, 0], [-28, 28], [0, -36], [0, -14], [-1, 0], [-27, 0], [-14, 14], [0, 30], [-1, 0], [0, 31], [24, -24], [5, -5], [-38, 0], [6, 0], [0, 6], [0, -14], [15, 0], [8, 0], [-10, 0], [36, 0], [30, -30], [0, 33], [-8, 8], [-17, 17], [-14, 0], [7, -7], [-6, 6], [0, 11], [-47, 47], [40, 0], [0, 13], [0, 40], [-5, 0], [-42, 0], [-18, 0], [0, -36], [0, 46], [0, 40], [0, 10], [15, 0], [-30, 30], [-9, 9], [-8, 8], [0, -13], [36, 0], [-25, 25], [14, 0], [0, 35], [0, -20], [-20, 20], [-56, 0], [-25, 0], [-42, 42], [0, -23], [0, 56], [-50, 50], [10, -10], [-15, 15], [28, -28], [-28, 0], [-14, 14], [5, -5], [0, -25], [-2, 2], [0, 0], [32, 0], [-5, 5], [34, -34], [-11, 0], [0, -45], [0, -40], [0, 11], [12, -12], [41, 0], [-5, 5], [0, 32], [46, 0], [0, -55], [0, 0], [-10, 0], [32, 0], [0, 22], [35, -35], [-46, 0], [-26, 0], [0, 35], [0, 20], [-31, 0], [-24, 24], [0, 0], [0, -60], [0, 2], [-55, 55], [-50, 0], [60, 0], [0, 30], [0, -16], [53, -53], [55, -55], [40, -40], [0, -32], [0, 8], [0, -24], [48, -48], [-17, 0], [-43, 43], [0, 26], [15, 0], [0, 62], [40, 0], [0, -15], [0, 0], [20, 0], [30, 0], [4, -4], [0, 21], [35, 0], [12, -12], [31, -31], [-60, 60], [0, 75], [-36, 0], [-40, 40], [32, -32], [-56, 0], [0, -51], [0, 67], [-24, 0], [30, 0], [-20, 0], [-30, 30], [33, 0], [20, 0], [-8, 8], [0, -66], [-30, 30], [-68, 0], [0, 71], [0, 39], [-66, 66], [-30, 0], [0, 40], [0, 20], [77, -77], [0, 66], [-13, 0], [14, -14], [-42, 0], [0, -50], [-30, 30], [0, 22], [0, 29], [-25, 0], [-60, 60], [0, -35], [0, 35], [0, 0], [77, -77], [75, -75], [0, -12], [13, 0], [42, 0], [16, 0], [0, -31], [0, -60], [33, 0], [-28, 0], [-26, 26], [8, 0], [0, 47], [-45, 45], [28, 0], [59, -59], [0, -35], [0, 36], [-60, 0], [24, 0], [0, -22], [45, 0], [20, -20], [0, 10], [-39, 0], [0, -50], [13, -13], [-2, 0], [56, 0], [10, 0], [0, -30], [4, 0], [71, -71], [8, 0], [0, -40], [80, -80], [50, -50], [-3, 0], [-10, 10], [32, -32], [0, -83]], 'char_orbit_index': 19, 'field_poly': [1, -1, 1], 'hecke_orbit_code': 58548032139954864, 'hecke_ring_character_values': [[1711, [1, 0]], [2053, [1, 0]], [1217, [1, 0]], [1009, [0, -1]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '2736.2.s.n', 'level': 2736, 'maxp': 1999, 'weight': 2}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_indexes	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_prime	boolean
  level_is_prime_power	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': 10944, 'analytic_conductor': 21.847069993022313, 'char_conductor': 19, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 19, 'char_orbit_label': 's', 'char_order': 3, 'char_parity': 1, 'char_values': [2736, 3, [1711, 2053, 1217, 1009], [3, 3, 3, 1]], 'conrey_indexes': [577, 1873], 'cusp_dim': 912, 'dim': 98, 'eis_dim': 96, 'eis_new_dim': 4, 'hecke_cutter_primes': [5, 7, 11, 13], 'hecke_orbit_code': 1236984138416, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 6, 6, 6, 8, 8, 8], 'label': '2736.2.s', 'level': 2736, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 19], 'level_radical': 114, 'mf_dim': 1008, 'mf_new_dim': 102, 'num_forms': 29, 'prim_orbit_index': 3, 'relative_dim': 49, 'sturm_bound': 960, 'trace_bound': 13, 'trace_display': [0, 0, 1, 0], 'traces': [98, 0, 0, 0, 1, 0, 0, 0, 0, 0, -4, 0, -1, 0, 0, 0, 5, 0, 10, 0, 0, 0, 5, 0, -46, 0, 0, 0, 1, 0, 32, 0, 0, 0, -12, 0, -4, 0, 0, 0, 7, 0, -3, 0, 0, 0, 5, 0, 66, 0, 0, 0, 5, 0, 24, 0, 0, 0, -19, 0, -13, 0, 0, 0, 26, 0, 9, 0, 0, 0, 7, 0, 9, 0, 0, 0, 24, 0, 13, 0, 0, 0, -60, 0, 9, 0, 0, 0, 13, 0, -12, 0, 0, 0, 65, 0, 1, 0, 0, 0, -7, 0, 32, 0, 0, 0, 64, 0, -1, 0, 0, 0, -8, 0, -66, 0, 0, 0, 8, 0, 54, 0, 0, 0, 42, 0, -13, 0, 0, 0, 25, 0, 20, 0, 0, 0, -9, 0, 33, 0, 0, 0, -8, 0, 38, 0, 0, 0, -7, 0, 48, 0, 0, 0, 8, 0, 19, 0, 0, 0, 16, 0, 4, 0, 0, 0, -3, 0, -22, 0, 0, 0, 17, 0, 24, 0, 0, 0, 76, 0, -1, 0, 0, 0, -6, 0, 64, 0, 0, 0, -120, 0, 7, 0, 0, 0, 20, 0, -29, 0, 0, 0, -56, 0, -11, 0, 0, 0, 62, 0, 41, 0, 0, 0, 69, 0, 0, 0, 0, 0, -78, 0, 17, 0, 0, 0, 116, 0, -20, 0, 0, 0, 35, 0, 134, 0, 0, 0, 32, 0, 41, 0, 0, 0, -15, 0, -51, 0, 0, 0, 19, 0, -20, 0, 0, 0, -1, 0, 56, 0, 0, 0, 59, 0, -50, 0, 0, 0, -23, 0, -39, 0, 0, 0, 26, 0, 4, 0, 0, 0, 7, 0, 11, 0, 0, 0, 68, 0, -2, 0, 0, 0, -4, 0, 19, 0, 0, 0, 27, 0, -32, 0, 0, 0, -46, 0, 55, 0, 0, 0, 200, 0, -23, 0, 0, 0, -15, 0, 32, 0, 0, 0, -79, 0, 32, 0, 0, 0, 0, 0, -12, 0, 0, 0, -126, 0, -27, 0, 0, 0, 160, 0, -72, 0, 0, 0, -47, 0, -84, 0, 0, 0, 40, 0, 71, 0, 0, 0, -77, 0, 32, 0, 0, 0, -25, 0, -33, 0, 0, 0, 4, 0, 4, 0, 0, 0, -13, 0, -160, 0, 0, 0, 3, 0, 0, 0, 0, 0, -39, 0, -58, 0, 0, 0, -19, 0, -45, 0, 0, 0, 7, 0, -8, 0, 0, 0, -272, 0, -35, 0, 0, 0, 36, 0, -44, 0, 0, 0, 120, 0, -61, 0, 0, 0, -128, 0, -20, 0, 0, 0, 121, 0, -25, 0, 0, 0, -73, 0, -123, 0, 0, 0, -129, 0, -82, 0, 0, 0, -96, 0, -66, 0, 0, 0, -184, 0, 40, 0, 0, 0, -91, 0, -216, 0, 0, 0, 36, 0, -36, 0, 0, 0, -12, 0, -102, 0, 0, 0, -79, 0, 30, 0, 0, 0, 51, 0, 32, 0, 0, 0, -57, 0, 46, 0, 0, 0, -96, 0, 47, 0, 0, 0, -31, 0, -10, 0, 0, 0, -75, 0, 128, 0, 0, 0, -172, 0, 40, 0, 0, 0, -104, 0, -13, 0, 0, 0, -132, 0, -20, 0, 0, 0, 10, 0, -4, 0, 0, 0, -468, 0, -37, 0, 0, 0, -65, 0, 151, 0, 0, 0, 79, 0, -88, 0, 0, 0, 41, 0, 266, 0, 0, 0, 116, 0, -42, 0, 0, 0, 148, 0, -172, 0, 0, 0, 104, 0, -8, 0, 0, 0, -104, 0, -80, 0, 0, 0, 67, 0, -88, 0, 0, 0, 19, 0, 8, 0, 0, 0, -55, 0, 40, 0, 0, 0, 57, 0, -16, 0, 0, 0, -33, 0, -53, 0, 0, 0, 35, 0, -128, 0, 0, 0, 48, 0, -15, 0, 0, 0, -62, 0, 11, 0, 0, 0, 370, 0, -41, 0, 0, 0, 19, 0, -117, 0, 0, 0, -56, 0, -18, 0, 0, 0, -28, 0, 103, 0, 0, 0, -199, 0, -25, 0, 0, 0, -192, 0, 9, 0, 0, 0, 168, 0, -52, 0, 0, 0, 140, 0, 44, 0, 0, 0, 152, 0, -10, 0, 0, 0, -113, 0, 120, 0, 0, 0, -70, 0, -7, 0, 0, 0, 29, 0, -192, 0, 0, 0, 132, 0, -9, 0, 0, 0, 44, 0, -440, 0, 0, 0, 67, 0, 96, 0, 0, 0, 72, 0, 41, 0, 0, 0, 77, 0, -132, 0, 0, 0, -42, 0, -49, 0, 0, 0, 139, 0, 73, 0, 0, 0, 112, 0, -1, 0, 0, 0, 216, 0, 71, 0, 0, 0, -32, 0, -48, 0, 0, 0, 406, 0, -41, 0, 0, 0, 101, 0, 4, 0, 0, 0, -87, 0, -32, 0, 0, 0, -21, 0, -172, 0, 0, 0, -264, 0, 57, 0, 0, 0, -220, 0, 174, 0, 0, 0, -98, 0, 0, 0, 0, 0, -32, 0, 95, 0, 0, 0, -124, 0, -31, 0, 0, 0, -95, 0, -225, 0, 0, 0, 63, 0, 180, 0, 0, 0, 85, 0, -266, 0, 0, 0, 27, 0, -86, 0, 0, 0, 24, 0, 216, 0, 0, 0, -90, 0, -1, 0, 0, 0, 19, 0, -159, 0, 0, 0, -368, 0, -27, 0, 0, 0, 52, 0, -247, 0, 0, 0, -16, 0, 35, 0, 0, 0, 104, 0, 85, 0, 0, 0, 165, 0, -56, 0, 0, 0, 215, 0, -32, 0, 0, 0, -300, 0, -58, 0, 0, 0, 82, 0, -153, 0, 0, 0, -80, 0, -4, 0, 0, 0, 100, 0, -144, 0, 0, 0, 118, 0, 96, 0, 0, 0, 59, 0, 274, 0, 0, 0, -212, 0, 73, 0, 0, 0, -51, 0, -250, 0, 0, 0, -69, 0, -258, 0, 0, 0, 131, 0, 136, 0, 0, 0, -40, 0, 34, 0, 0, 0, 67, 0, -95, 0, 0, 0, -171, 0, 20, 0, 0, 0, 64, 0, -56, 0, 0, 0, -305, 0, 102, 0, 0, 0, -154, 0, -59, 0, 0, 0, -558, 0, 11, 0, 0, 0, 200, 0, -25, 0, 0, 0, 319, 0, -125, 0, 0, 0, 37, 0, 352, 0, 0, 0, 260, 0, -33, 0, 0, 0, -252, 0, 234, 0, 0, 0, 143, 0, 168, 0, 0, 0, 10, 0, -45, 0, 0, 0, 40, 0, -68, 0, 0, 0, -25, 0, 125, 0, 0, 0, -63, 0, -80, 0, 0, 0, 17, 0, 280, 0, 0, 0, -46, 0, 7, 0, 0, 0, 82, 0, 64, 0, 0, 0, 116, 0, 129, 0, 0, 0, 0, 0, 55, 0, 0, 0, 616, 0, -141, 0, 0, 0, 3, 0, 124, 0, 0, 0, -40, 0, 151, 0, 0, 0, -140, 0, 40, 0, 0, 0, -127, 0, -21, 0, 0, 0, 151, 0, 305, 0, 0, 0, 393, 0, 80, 0, 0, 0, 24, 0, 264, 0, 0, 0, 210, 0, -24, 0, 0, 0, 154, 0, 600, 0, 0, 0, -136, 0, 13, 0, 0, 0, -169, 0, 145, 0, 0, 0, 277, 0, 93, 0, 0, 0, -56, 0, -84, 0, 0, 0, 204, 0, -160, 0, 0, 0, -159, 0, -116, 0, 0, 0, 115, 0, 118, 0, 0, 0, 25, 0, -140, 0, 0, 0, 292, 0, -79, 0, 0, 0, -134, 0, -13, 0, 0, 0, 336, 0, -9, 0, 0, 0, 152, 0, -171, 0, 0, 0, 472, 0, 58, 0, 0, 0, -203, 0, -285, 0, 0, 0, -368, 0, 11, 0, 0, 0, 27, 0, -316, 0, 0, 0, -242, 0, 101, 0, 0, 0, 184, 0, 190, 0, 0, 0, -71, 0, 86, 0, 0, 0, 72, 0, 112, 0, 0, 0, -100, 0, 195, 0, 0, 0, 121, 0, -125, 0, 0, 0, 111, 0, 110, 0, 0, 0, -65, 0, 204, 0, 0, 0, -108, 0, 161, 0, 0, 0, -75, 0, 96, 0, 0, 0, -109, 0, 56, 0, 0, 0, -5, 0, -141, 0, 0, 0, -624, 0, 75, 0, 0, 0, -136, 0, 97, 0, 0, 0, 12, 0, -44, 0, 0, 0, -96, 0, -268, 0, 0, 0, 181, 0, 73, 0, 0, 0, -281, 0, 28, 0, 0, 0, -459, 0, -22, 0, 0, 0, 36, 0, -131, 0, 0, 0, -112, 0, 110, 0, 0, 0, -111, 0, -456, 0, 0, 0, 80, 0, -93, 0, 0, 0, -14, 0, 399, 0, 0, 0, -272, 0, -32, 0, 0, 0, 8, 0, 704, 0, 0, 0, -169, 0, 366, 0, 0, 0, -85, 0, -76, 0, 0, 0, -87, 0, 206, 0, 0, 0, 153, 0, 129, 0, 0, 0, -251, 0, 75, 0, 0, 0, -120, 0, -152, 0, 0, 0, -341, 0, -6, 0, 0, 0, -200, 0, -43, 0, 0, 0, -568, 0, -57, 0, 0, 0, -156, 0, 37, 0, 0, 0, 292, 0, 14, 0, 0, 0, -70, 0, 272, 0, 0, 0, 420, 0, -96, 0, 0, 0, 360, 0, 12, 0, 0, 0, 175, 0, -32, 0, 0, 0, 140, 0, -73, 0, 0, 0, 97, 0, -191, 0, 0, 0, -16, 0, 486, 0, 0, 0, -63, 0, -186, 0, 0, 0, 162, 0, 376, 0, 0, 0, 133, 0, -80, 0, 0, 0, -78, 0, -4, 0, 0, 0, 293, 0, -39, 0, 0, 0, -21, 0, 307, 0, 0, 0, 1008, 0, -1, 0, 0, 0, -87, 0, 348, 0, 0, 0, -112, 0, -64, 0, 0, 0, 458, 0, -93, 0, 0, 0, -221, 0, -177, 0, 0, 0, -218, 0, 115, 0, 0, 0, 369, 0, -154, 0, 0, 0, -104, 0, 254, 0, 0, 0, 424, 0, 164, 0, 0, 0, -207, 0, 200, 0, 0, 0, 0, 0, -159, 0, 0, 0, 77, 0, -497, 0, 0, 0, 277, 0, -25, 0, 0, 0, 157, 0, 508, 0, 0, 0, 264, 0, 250, 0, 0, 0, 161, 0, -164, 0, 0, 0, 128, 0, 608, 0, 0, 0, -113, 0, 209, 0, 0, 0, 404, 0, -81, 0, 0, 0, 432, 0, -29, 0, 0, 0, 401, 0, 103, 0, 0, 0, -128, 0, 218, 0, 0, 0, 650, 0, -24, 0, 0, 0, 123, 0, 232, 0, 0, 0, -261, 0, -101, 0, 0, 0, -1, 0, -228, 0, 0, 0, -234, 0, -120, 0, 0, 0, -148, 0, -598, 0, 0, 0, -228, 0, 318, 0, 0, 0, 160, 0, 71, 0, 0, 0, -188, 0, -128, 0, 0, 0, -35, 0, -205, 0, 0, 0, -18, 0, -100, 0, 0, 0, 178, 0, -168, 0, 0, 0, 8, 0, -35, 0, 0, 0, 124, 0, -136, 0, 0, 0, -259, 0, 246, 0, 0, 0, -129, 0, -88, 0, 0, 0, -936, 0, 207, 0, 0, 0, 59, 0, -163, 0, 0, 0, 28, 0, 151, 0, 0, 0, -36, 0, -61, 0, 0, 0, 336, 0, 117, 0, 0, 0, 253, 0, -459, 0, 0, 0, -499, 0, 60, 0, 0, 0, -26, 0, -268, 0, 0, 0, -464, 0, -204, 0, 0, 0, 236, 0, -616, 0, 0, 0, 50, 0, 116, 0, 0, 0, 104, 0, -201, 0, 0, 0, -183, 0, -128, 0, 0, 0, -93, 0, 320, 0, 0, 0, -302, 0, -124, 0, 0, 0, 14, 0, 149, 0, 0, 0, -199, 0, -240, 0, 0, 0, -7, 0, 245, 0, 0, 0, -464, 0, -117, 0, 0, 0, 228, 0, -16, 0, 0, 0, -504, 0, 0, 0, 0, 0, 468, 0, 328, 0, 0, 0, -808, 0, 56, 0, 0, 0, 171, 0, 423, 0, 0, 0, 259, 0, -2, 0, 0, 0, -108, 0, 838, 0, 0, 0, 448, 0, 231, 0, 0, 0, -590, 0, -416, 0, 0, 0, 91, 0, 14, 0, 0, 0, -84, 0, -249, 0, 0, 0, 189, 0, 172, 0, 0, 0, -30, 0, 120, 0, 0, 0, -184, 0, -380, 0, 0, 0, -251, 0, -368, 0, 0, 0, -57, 0, 204, 0, 0, 0, 179, 0, -300, 0, 0, 0, 284, 0, -111, 0, 0, 0, -27, 0, 263, 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: 992158
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '2736.2.s.n', 'source_level': 2736, 'target_char_orbit': 19, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '1368.2.s.c', 'target_level': 1368, 'twist_class_label': '1368.2.s.c', 'twist_class_level': 1368, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 992159
    {'conductor': 228, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '2736.2.s.n', 'source_level': 2736, 'target_char_orbit': 19, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '1368.2.s.c', 'target_level': 1368, 'twist_class_label': '1368.2.s.c', 'twist_class_level': 1368, 'twisting_char_label': '228.m', 'twisting_char_orbit': 13, 'weight': 2}
  • id: 992160
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '2736.2.s.n', 'source_level': 2736, 'target_char_orbit': 19, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '1368.2.s.f', 'target_level': 1368, 'twist_class_label': '1368.2.s.c', 'twist_class_level': 1368, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 992161
    {'conductor': 76, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '2736.2.s.n', 'source_level': 2736, 'target_char_orbit': 19, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '1368.2.s.f', 'target_level': 1368, 'twist_class_label': '1368.2.s.c', 'twist_class_level': 1368, 'twisting_char_label': '76.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 992162
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '2736.2.s.n', 'source_level': 2736, 'target_char_orbit': 19, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '2736.2.s.e', 'target_level': 2736, 'twist_class_label': '1368.2.s.c', 'twist_class_level': 1368, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 992163
    {'conductor': 57, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '2736.2.s.n', 'source_level': 2736, 'target_char_orbit': 19, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '2736.2.s.e', 'target_level': 2736, 'twist_class_label': '1368.2.s.c', 'twist_class_level': 1368, 'twisting_char_label': '57.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 992164
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '2736.2.s.n', 'source_level': 2736, 'target_char_orbit': 19, 'target_dim': 2, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '2736.2.s.n', 'target_level': 2736, 'twist_class_label': '1368.2.s.c', 'twist_class_level': 1368, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 992165
    {'conductor': 19, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 19, 'source_dim': 2, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '2736.2.s.n', 'source_level': 2736, 'target_char_orbit': 19, 'target_dim': 2, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '2736.2.s.n', 'target_level': 2736, 'twist_class_label': '1368.2.s.c', 'twist_class_level': 1368, 'twisting_char_label': '19.c', 'twisting_char_orbit': 3, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2823950
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 58548032139954864, 'p': 2}
  • id: 2823951
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 58548032139954864, 'p': 3}
  • id: 2823952
    {'charpoly_factorization': [[[4, -2, 1], 1]], 'hecke_orbit_code': 58548032139954864, 'p': 5}
  • id: 2823953
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 58548032139954864, 'p': 7}
  • id: 2823954
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 58548032139954864, 'p': 11}
  • id: 2823955
    {'charpoly_factorization': [[[1, -1, 1], 1]], 'hecke_orbit_code': 58548032139954864, 'p': 13}
  • id: 2823956
    {'charpoly_factorization': [[[4, -2, 1], 1]], 'hecke_orbit_code': 58548032139954864, 'p': 17}
  • id: 2823957
    {'charpoly_factorization': [[[19, -8, 1], 1]], 'hecke_orbit_code': 58548032139954864, 'p': 19}
  • id: 2823958
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 58548032139954864, 'p': 23}
  • id: 2823959
    {'charpoly_factorization': [[[4, -2, 1], 1]], 'hecke_orbit_code': 58548032139954864, 'p': 29}
  • id: 2823960
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 58548032139954864, 'p': 31}
  • id: 2823961
    {'charpoly_factorization': [[[7, 1], 2]], 'hecke_orbit_code': 58548032139954864, 'p': 37}
  • id: 2823962
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 58548032139954864, 'p': 41}
  • id: 2823963
    {'charpoly_factorization': [[[1, 1, 1], 1]], 'hecke_orbit_code': 58548032139954864, 'p': 43}
  • id: 2823964
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 58548032139954864, 'p': 47}
  • id: 2823965
    {'charpoly_factorization': [[[16, -4, 1], 1]], 'hecke_orbit_code': 58548032139954864, 'p': 53}
  • id: 2823966
    {'charpoly_factorization': [[[64, 8, 1], 1]], 'hecke_orbit_code': 58548032139954864, 'p': 59}
  • id: 2823967
    {'charpoly_factorization': [[[121, -11, 1], 1]], 'hecke_orbit_code': 58548032139954864, 'p': 61}
  • id: 2823968
    {'charpoly_factorization': [[[225, -15, 1], 1]], 'hecke_orbit_code': 58548032139954864, 'p': 67}
  • id: 2823969
    {'charpoly_factorization': [[[36, 6, 1], 1]], 'hecke_orbit_code': 58548032139954864, 'p': 71}
  • id: 2823970
    {'charpoly_factorization': [[[81, 9, 1], 1]], 'hecke_orbit_code': 58548032139954864, 'p': 73}
  • id: 2823971
    {'charpoly_factorization': [[[169, 13, 1], 1]], 'hecke_orbit_code': 58548032139954864, 'p': 79}
  • id: 2823972
    {'charpoly_factorization': [[[14, 1], 2]], 'hecke_orbit_code': 58548032139954864, 'p': 83}
  • id: 2823973
    {'charpoly_factorization': [[[144, 12, 1], 1]], 'hecke_orbit_code': 58548032139954864, 'p': 89}
  • id: 2823974
    {'charpoly_factorization': [[[100, 10, 1], 1]], 'hecke_orbit_code': 58548032139954864, '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': 19, 'hecke_orbit': 14, 'label': '2736.2.s.n', 'level': 2736, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 230004000
    {'hecke_orbit_code': 58548032139954864, 'n': 1, 'trace_an': 2}
  • id: 230004001
    {'hecke_orbit_code': 58548032139954864, 'n': 2, 'trace_an': 0}
  • id: 230004002
    {'hecke_orbit_code': 58548032139954864, 'n': 3, 'trace_an': 0}
  • id: 230004003
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  • id: 230004004
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  • id: 230004005
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  • id: 230004006
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  • id: 230004007
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  • id: 230004008
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  • id: 230004009
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  • id: 230004010
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  • id: 230004011
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  • id: 230004012
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  • id: 230004013
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  • id: 230004014
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  • id: 230004015
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  • id: 230004016
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  • id: 230004017
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  • id: 230004018
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  • id: 230004019
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  • id: 230004020
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  • id: 230004021
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  • id: 230004022
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  • id: 230004023
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  • id: 230004024
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  • id: 230004025
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  • id: 230004026
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  • id: 230004027
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  • id: 230004028
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  • id: 230004029
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  • id: 230004030
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  • id: 230004031
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  • id: 230004032
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  • id: 230004033
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  • id: 230004034
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  • id: 230004035
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  • id: 230004036
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  • id: 230004037
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  • id: 230004038
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  • id: 230004039
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  • id: 230004040
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  • id: 230004041
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  • id: 230004042
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  • id: 230004043
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  • id: 230004044
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  • id: 230004045
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  • id: 230004046
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  • id: 230004047
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  • id: 230004048
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  • id: 230004049
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  • id: 230004050
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  • id: 230004051
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  • id: 230004052
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  • id: 230004053
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  • id: 230004054
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  • id: 230004055
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  • id: 230004056
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  • id: 230004057
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  • id: 230004058
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  • id: 230004059
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  • id: 230004060
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  • id: 230004061
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  • id: 230004062
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  • id: 230004063
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  • id: 230004064
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  • id: 230004065
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  • id: 230004066
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  • id: 230004067
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  • id: 230004068
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  • id: 230004069
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  • id: 230004070
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  • id: 230004071
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  • id: 230004072
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  • id: 230004073
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  • id: 230004074
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  • id: 230004075
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  • id: 230004076
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  • id: 230004077
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  • id: 230004078
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  • id: 230004079
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  • id: 230004080
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  • id: 230004081
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  • id: 230004082
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  • id: 230004083
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  • id: 230004084
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  • id: 230004085
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  • id: 230004086
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  • id: 230004087
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  • id: 230004088
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  • id: 230004089
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  • id: 230004090
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  • id: 230004091
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  • id: 230004092
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  • id: 230004093
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  • id: 230004094
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  • id: 230004095
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  • id: 230004096
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  • id: 230004097
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  • id: 230004098
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  • id: 230004099
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  • id: 230004100
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  • id: 230004101
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  • id: 230004102
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  • id: 230004103
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  • id: 230004104
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  • id: 230004105
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  • id: 230004106
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  • id: 230004107
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  • id: 230004108
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  • id: 230004109
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  • id: 230004110
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  • id: 230004111
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  • id: 230004112
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  • id: 230004113
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  • id: 230004114
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  • id: 230004115
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  • id: 230004116
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  • id: 230004117
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  • id: 230004118
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  • id: 230004119
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  • id: 230004120
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  • id: 230004121
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  • id: 230004122
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  • id: 230004123
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  • id: 230004124
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  • id: 230004125
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  • id: 230004126
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  • id: 230004127
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  • id: 230004128
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  • id: 230004129
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  • id: 230004130
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  • id: 230004131
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  • id: 230004132
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  • id: 230004133
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  • id: 230004134
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  • id: 230004135
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  • id: 230004136
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  • id: 230004137
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  • id: 230004138
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  • id: 230004139
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  • id: 230004140
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  • id: 230004141
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  • id: 230004142
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  • id: 230004143
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  • id: 230004144
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  • id: 230004145
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  • id: 230004146
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  • id: 230004147
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  • id: 230004148
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  • id: 230004149
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  • id: 230004150
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  • id: 230004151
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  • id: 230004152
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  • id: 230004153
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  • id: 230004154
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  • id: 230004155
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  • id: 230004156
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  • id: 230004157
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  • id: 230004158
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  • id: 230004159
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  • id: 230004160
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  • id: 230004161
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  • id: 230004162
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  • id: 230004163
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  • id: 230004164
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  • id: 230004165
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  • id: 230004166
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  • id: 230004167
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  • id: 230004168
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  • id: 230004169
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  • id: 230004170
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  • id: 230004171
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  • id: 230004172
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  • id: 230004173
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  • id: 230004174
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  • id: 230004175
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  • id: 230004176
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  • id: 230004177
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  • id: 230004178
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  • id: 230004179
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  • id: 230004180
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  • id: 230004181
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  • id: 230004182
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  • id: 230004183
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  • id: 230004184
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  • id: 230004185
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  • id: 230004186
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  • id: 230004187
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  • id: 230004188
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  • id: 230004189
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  • id: 230004190
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  • id: 230004191
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  • id: 230004192
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  • id: 230004193
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  • id: 230004194
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  • id: 230004195
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  • id: 230004196
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  • id: 230004197
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  • id: 230004198
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  • id: 230004199
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  • id: 230004200
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  • id: 230004201
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  • id: 230004202
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  • id: 230004904
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  • id: 230004905
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  • id: 230004906
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  • id: 230004911
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  • id: 230004912
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  • id: 230004913
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  • id: 230004914
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  • id: 230004917
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  • id: 230004918
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  • id: 230004919
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  • id: 230004921
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  • id: 230004922
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  • id: 230004923
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  • id: 230004924
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  • id: 230004925
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  • id: 230004926
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  • id: 230004927
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  • id: 230004928
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  • id: 230004929
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  • id: 230004930
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  • id: 230004931
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  • id: 230004932
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  • id: 230004934
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  • id: 230004935
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  • id: 230004936
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  • id: 230004937
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  • id: 230004938
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  • id: 230004939
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  • id: 230004940
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  • id: 230004941
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  • id: 230004942
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  • id: 230004943
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  • id: 230004946
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    {'hecke_orbit_code': 58548032139954864, 'n': 993, 'trace_an': 0}
  • id: 230004993
    {'hecke_orbit_code': 58548032139954864, 'n': 994, 'trace_an': 0}
  • id: 230004994
    {'hecke_orbit_code': 58548032139954864, 'n': 995, 'trace_an': 12}
  • id: 230004995
    {'hecke_orbit_code': 58548032139954864, 'n': 996, 'trace_an': 0}
  • id: 230004996
    {'hecke_orbit_code': 58548032139954864, 'n': 997, 'trace_an': -25}
  • id: 230004997
    {'hecke_orbit_code': 58548032139954864, 'n': 998, 'trace_an': 0}
  • id: 230004998
    {'hecke_orbit_code': 58548032139954864, 'n': 999, 'trace_an': 0}
  • id: 230004999
    {'hecke_orbit_code': 58548032139954864, 'n': 1000, 'trace_an': 0}