Newform data - 3328.2.a.bp

Formats: - HTML - YAML - JSON - 2026-04-16T19:55:51.884740

• 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': 13312, 'analytic_conductor': 26.574213792682112, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [13, -1]], 'atkin_lehner_string': '+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3328, 1, [1535, 261, 769], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 6, 'field_disc': 10323968, 'field_disc_factorization': [[2, 11], [71, 2]], 'field_poly': [-8, 0, 25, 0, -10, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [-8, 0, 25, 0, -10, 0, 1]], [5, [10, -3, -4, 1]], [7, [-242, 0, 125, 0, -20, 0, 1]]], 'hecke_orbit': 42, 'hecke_orbit_code': 184647584755748096, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 8, 'hecke_ring_index_factorization': [[2, 3]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '3328.2.a.bp', 'level': 3328, '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, 13], 'level_radical': 26, 'minimal_twist': '1664.2.b.k', 'nf_label': '6.6.10323968.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{3}+(1+\\beta _{2})q^{5}-\\beta _{5}q^{7}+\\beta _{2}q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3328.2.a', 'trace_display': [0, 0, 8, 0], 'trace_hash': 1179994954781651730, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.083', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.665', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '160.430', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6690.276', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.508', 'prec': 17}, 'traces': [6, 0, 0, 0, 8, 0, 0, 0, 2, 0, 0, 0, 6, 0, 0, 0, -4, 0, 0, 0, -4, 0, 0, 0, 14, 0, 0, 0, 12, 0, 0, 0, 16, 0, 0, 0, 24, 0, 0, 0, 20, 0, 0, 0, 36, 0, 0, 0, -2, 0, 0, 0, 32, 0, 0, 0, -24, 0, 0, 0, 8, 0, 0, 0, 8, 0, 0, 0, 40, 0, 0, 0, -12, 0, 0, 0, 28, 0, 0, 0, -26, 0, 0, 0, -20, 0, 0, 0, -4, 0, 0, 0, 24, 0, 0, 0, 20, 0, 0, 0, 48, 0, 0, 0, -20, 0, 0, 0, 24, 0, 0, 0, -24, 0, 0, 0, 2, 0, 0, 0, 18, 0, 0, 0, 60, 0, 0, 0, -20, 0, 0, 0, 52, 0, 0, 0, 4, 0, 0, 0, -4, 0, 0, 0, 16, 0, 0, 0, 44, 0, 0, 0, -16, 0, 0, 0, 4, 0, 0, 0, -8, 0, 0, 0, 88, 0, 0, 0, 6, 0, 0, 0, 72, 0, 0, 0, -56, 0, 0, 0, -44, 0, 0, 0, -20, 0, 0, 0, -4, 0, 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0, 0, 0, -112, 0, 0, 0, 104, 0, 0, 0, 112, 0, 0, 0, 348, 0, 0, 0, -312, 0, 0, 0, 242, 0, 0, 0, 40, 0, 0, 0, 40, 0, 0, 0, -44, 0, 0, 0, -128, 0, 0, 0, 192, 0, 0, 0, 272, 0, 0, 0, 264, 0, 0, 0, 224, 0, 0, 0, -308, 0, 0, 0, 320, 0, 0, 0, -60, 0, 0, 0, -104, 0, 0, 0, -64, 0, 0, 0, -280, 0, 0, 0, 196, 0, 0, 0, -4, 0, 0, 0, 56, 0, 0, 0, -56, 0, 0, 0, -184, 0, 0, 0, 112, 0, 0, 0, -424, 0, 0, 0, -60, 0, 0, 0, -156, 0, 0, 0, 288, 0, 0, 0, -328, 0, 0, 0, -124, 0, 0, 0, -68, 0, 0, 0, 80, 0, 0, 0, 86, 0, 0, 0, 96, 0, 0, 0, 12, 0, 0, 0, -144, 0, 0, 0, 88, 0, 0, 0, -264, 0, 0, 0, -20, 0, 0, 0, 20, 0, 0, 0, 276, 0, 0, 0, 68, 0, 0, 0, 240, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -428, 0, 0, 0, -168, 0, 0, 0, -40, 0, 0, 0, -312, 0, 0, 0, 120, 0, 0, 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, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [1, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -1], [0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, -1], [0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 3, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0], [-1, 0, 0, 0, -1, 0], [0, 0, 0, 0, 0, 0], [0, -1, 0, -1, 0, -1], [0, 0, 0, 0, 0, 0], [-1, 0, 0, 0, -1, 0], [0, 0, 0, 0, 0, 0], [0, 2, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [2, 0, 2, 0, 1, 0], [0, 0, 0, 0, 0, 0], [0, -1, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0], [2, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1], [0, 0, 0, 0, 0, 0], [2, 0, 2, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, -1, 0, -2, 0, 0], [0, 0, 0, 0, 0, 0], [5, 0, -2, 0, 1, 0], [0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [4, 0, 0, 0, 2, 0], [0, 0, 0, 0, 0, 0], [0, -1, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0], [6, 0, 1, 0, 1, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, -1, 0, -1], [0, 0, 0, 0, 0, 0], [0, 0, -1, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, -1, 0, -2, 0, -2], [0, 0, 0, 0, 0, 0], [6, 0, 0, 0, 2, 0], [0, 0, 0, 0, 0, 0], [0, 4, 0, 0, 0, 2], [0, 0, 0, 0, 0, 0], [-4, 0, -2, 0, -2, 0], [0, 0, 0, 0, 0, 0], [0, -3, 0, 1, 0, 1], [0, 0, 0, 0, 0, 0], [0, 0, 2, 0, -2, 0], [0, 0, 0, 0, 0, 0], [0, -1, 0, -2, 0, 1], [0, 0, 0, 0, 0, 0], [1, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 1, 0, -1, 0, 3], [0, 0, 0, 0, 0, 0], [6, 0, 2, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, -2, 0, 0, 0, 3], [0, 0, 0, 0, 0, 0], [-4, 0, 4, 0, -2, 0], [0, 0, 0, 0, 0, 0], [0, 6, 0, 4, 0, 2], [0, 0, 0, 0, 0, 0], [6, 0, -4, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 4, 0, 2, 0, -2], [0, 0, 0, 0, 0, 0], [-3, 0, -3, 0, 1, 0], [0, 0, 0, 0, 0, 0], [0, -1, 0, -3, 0, 1], [0, 0, 0, 0, 0, 0], [-3, 0, -3, 0, -2, 0], [0, 0, 0, 0, 0, 0], [0, 2, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, -2, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -1], [0, 0, 0, 0, 0, 0], [4, 0, 1, 0, 1, 0], [0, 0, 0, 0, 0, 0], [0, -6, 0, -4, 0, -2], [0, 0, 0, 0, 0, 0], [2, 0, 4, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 3, 0, -1, 0, 3], [0, 0, 0, 0, 0, 0]], 'ap': [[0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0], [1, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, -1], [0, 1, 0, 1, 0, -1], [1, 0, 0, 0, 0, 0], [-1, 0, 0, 0, -1, 0], [0, -1, 0, -1, 0, -1], [0, 2, 0, 0, 0, 0], [2, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1], [5, 0, -2, 0, 1, 0], [4, 0, 0, 0, 2, 0], [0, -1, 0, 1, 0, 0], [0, 0, 0, -1, 0, -1], [6, 0, 0, 0, 2, 0], [0, -3, 0, 1, 0, 1], [0, 0, 2, 0, -2, 0], [0, 1, 0, -1, 0, 3], [0, -2, 0, 0, 0, 3], [-4, 0, 4, 0, -2, 0], [0, 4, 0, 2, 0, -2], [0, -1, 0, -3, 0, 1], [0, 0, -2, 0, 0, 0], [2, 0, 4, 0, 0, 0], [8, 0, -2, 0, -2, 0], [0, -2, 0, 0, 0, -4], [0, -4, 0, 1, 0, -4], [5, 0, -4, 0, -1, 0], [-2, 0, -4, 0, 2, 0], [0, 2, 0, 4, 0, 0], [0, -3, 0, -1, 0, -2], [2, 0, -4, 0, 0, 0], [0, -1, 0, -2, 0, 4], [6, 0, 4, 0, 0, 0], [0, -4, 0, 1, 0, -3], [0, 0, 0, 0, -2, 0], [0, -7, 0, -1, 0, 3], [0, -9, 0, 2, 0, -1], [10, 0, 4, 0, -2, 0], [0, 5, 0, 0, 0, -6], [-6, 0, -2, 0, 2, 0], [0, -4, 0, 0, 0, -2], [2, 0, -4, 0, 0, 0], [11, 0, -2, 0, -1, 0], [0, -6, 0, 4, 0, 0], [0, -3, 0, 5, 0, 2], [0, -2, 0, 5, 0, -1], [0, -5, 0, -1, 0, -5], [11, 0, -3, 0, -2, 0], [-9, 0, 1, 0, -2, 0], [0, -6, 0, -2, 0, 5], [4, 0, 2, 0, -4, 0], [0, -2, 0, -3, 0, -2], [-5, 0, -2, 0, -1, 0], [0, -6, 0, -4, 0, 6], [12, 0, -6, 0, 0, 0], [0, -4, 0, -7, 0, 3], [-4, 0, 4, 0, 0, 0], [-8, 0, 4, 0, 2, 0], [0, 6, 0, -3, 0, 2], [13, 0, -8, 0, -1, 0], [0, 3, 0, 9, 0, -1], [0, 0, 0, -2, 0, 4], [9, 0, -1, 0, 4, 0], [-2, 0, 0, 0, -4, 0], [0, 3, 0, -5, 0, 1], [5, 0, 5, 0, 2, 0], [0, -1, 0, -2, 0, 0], [-7, 0, -11, 0, 4, 0], [18, 0, 2, 0, 2, 0], [0, 5, 0, 8, 0, -3], [0, -16, 0, 0, 0, 2], [-12, 0, 4, 0, 2, 0], [0, 11, 0, -5, 0, 1], [0, 10, 0, -1, 0, 7], [8, 0, -6, 0, 4, 0], [-6, 0, -4, 0, 4, 0], [2, 0, 0, 0, 0, 0], [6, 0, 4, 0, -4, 0], [0, -7, 0, 2, 0, 0], [9, 0, 1, 0, 4, 0], [0, -4, 0, 6, 0, 3], [9, 0, -1, 0, -2, 0], [0, 4, 0, -10, 0, 0], [0, -9, 0, 3, 0, 6], [14, 0, -6, 0, 6, 0], [8, 0, 2, 0, -4, 0], [-7, 0, 8, 0, -5, 0], [0, 15, 0, 0, 0, -1], [0, 2, 0, -1, 0, 10], [0, 6, 0, -5, 0, -3], [0, 3, 0, 4, 0, 3], [0, 11, 0, -1, 0, -4], [0, -1, 0, 1, 0, 7], [0, 2, 0, -2, 0, -10], [-10, 0, 8, 0, -4, 0], [1, 0, 5, 0, 2, 0], [0, -16, 0, -3, 0, 8], [-29, 0, 2, 0, -1, 0], [0, 5, 0, 10, 0, -4], [19, 0, 4, 0, 1, 0], [0, 1, 0, -2, 0, 2], [5, 0, -10, 0, 1, 0], [0, 7, 0, -2, 0, -2], [4, 0, -8, 0, 6, 0], [0, -1, 0, 3, 0, -7], [-18, 0, 10, 0, 2, 0], [0, -10, 0, -10, 0, 6], [-13, 0, -10, 0, 5, 0], [0, -2, 0, -2, 0, 6], [2, 0, 8, 0, -4, 0], [0, 0, -8, 0, -2, 0], [0, 11, 0, 1, 0, -5], [0, 12, 0, -1, 0, 9], [6, 0, -12, 0, -2, 0], [0, -1, 0, -1, 0, 9], [0, -4, 0, -8, 0, 0], [16, 0, 6, 0, 4, 0], [0, 8, 0, -1, 0, 0], [-22, 0, -4, 0, 0, 0], [-17, 0, -6, 0, 1, 0], [14, 0, -2, 0, 0, 0], [0, 1, 0, 15, 0, 3], [0, 7, 0, 3, 0, -13], [-2, 0, -10, 0, 6, 0], [-18, 0, 0, 0, -4, 0], [0, 18, 0, -6, 0, 0], [0, -18, 0, -2, 0, 8], [-9, 0, 5, 0, 2, 0], [0, 5, 0, -5, 0, 1], [0, 6, 0, -9, 0, 5], [0, -8, 0, 12, 0, 0], [-6, 0, 6, 0, 4, 0], [8, 0, 10, 0, -4, 0], [12, 0, -12, 0, -2, 0], [9, 0, 3, 0, 2, 0], [0, -13, 0, 5, 0, -5], [-12, 0, 2, 0, -4, 0], [-15, 0, 5, 0, 2, 0], [0, 7, 0, -7, 0, -1], [-11, 0, -9, 0, 2, 0], [0, -4, 0, 12, 0, -4], [0, 1, 0, 3, 0, 13], [-14, 0, 2, 0, -4, 0], [0, 9, 0, 4, 0, -15], [-17, 0, 3, 0, 4, 0], [-2, 0, -4, 0, 0, 0], [0, -8, 0, 5, 0, -8], [0, -4, 0, 2, 0, -5], [15, 0, -7, 0, 2, 0], [7, 0, 0, 0, -7, 0], [0, -7, 0, -7, 0, 4], [0, -2, 0, -6, 0, -6], [0, -1, 0, -3, 0, -4], [0, 0, 0, 8, 0, 10], [0, -6, 0, 4, 0, 6], [4, 0, -6, 0, 4, 0], [6, 0, 0, 0, 0, 0], [11, 0, 1, 0, 2, 0], [0, 11, 0, -7, 0, 1], [21, 0, -8, 0, -1, 0], [0, -6, 0, 4, 0, -9], [0, -5, 0, 1, 0, -6], [6, 0, 8, 0, 0, 0], [0, -2, 0, 10, 0, 5], [0, 2, 0, 6, 0, -10], [26, 0, -6, 0, 0, 0], [-36, 0, -2, 0, 4, 0], [-14, 0, 10, 0, -12, 0], [0, 3, 0, 15, 0, 1], [3, 0, 6, 0, -1, 0], [0, -12, 0, 6, 0, 8], [4, 0, -4, 0, -2, 0], [0, -14, 0, -6, 0, 16], [-23, 0, 15, 0, -2, 0], [0, -3, 0, -13, 0, 5], [6, 0, 16, 0, -4, 0], [0, 12, 0, -10, 0, 8], [2, 0, 12, 0, -4, 0], [0, -3, 0, -2, 0, 5], [0, 2, 0, 7, 0, 10], [22, 0, -2, 0, 8, 0], [12, 0, 10, 0, -4, 0], [0, -7, 0, -14, 0, 9], [32, 0, -8, 0, 6, 0], [8, 0, 6, 0, 8, 0], [0, 9, 0, -1, 0, 1], [8, 0, 8, 0, -6, 0], [0, 13, 0, 2, 0, -7], [-33, 0, -1, 0, 2, 0], [0, 7, 0, 9, 0, -9], [0, -3, 0, 8, 0, 0], [-18, 0, 4, 0, 0, 0], [0, -7, 0, -3, 0, 8], [-6, 0, -4, 0, -4, 0], [-16, 0, -6, 0, 0, 0], [-2, 0, -16, 0, 0, 0], [-26, 0, -8, 0, 0, 0], [0, 14, 0, -4, 0, 14], [21, 0, -1, 0, -2, 0], [0, 8, 0, 0, 0, -10], [7, 0, 8, 0, 1, 0], [-21, 0, 5, 0, -12, 0], [0, 13, 0, -5, 0, 1], [20, 0, -18, 0, -2, 0], [0, 14, 0, -9, 0, -1], [0, -4, 0, -1, 0, -8], [18, 0, -18, 0, -2, 0], [0, -5, 0, -10, 0, 6], [14, 0, -8, 0, 8, 0], [10, 0, -8, 0, -2, 0], [0, 4, 0, 0, 0, -14], [0, -5, 0, 1, 0, 15], [0, 6, 0, 6, 0, 11], [-30, 0, 10, 0, -2, 0], [0, -14, 0, 0, 0, -2], [-17, 0, -7, 0, 2, 0], [0, 15, 0, 0, 0, 15], [3, 0, -4, 0, -11, 0], [20, 0, 0, 0, 8, 0], [0, 6, 0, -3, 0, -1], [4, 0, 14, 0, -4, 0], [0, 16, 0, 1, 0, -11], [0, -3, 0, 13, 0, 0], [40, 0, -2, 0, -2, 0], [-39, 0, 5, 0, -4, 0], [0, 16, 0, 0, 0, 2], [0, -4, 0, 6, 0, 8], [0, 9, 0, -3, 0, 11], [8, 0, -6, 0, -8, 0], [0, 0, 0, 3, 0, 4], [0, 11, 0, 14, 0, -5], [-27, 0, -8, 0, -3, 0], [0, 23, 0, 3, 0, -6], [0, -4, 0, 2, 0, -9], [20, 0, 2, 0, -8, 0], [31, 0, 13, 0, -6, 0], [0, 2, 0, -15, 0, -6], [0, 20, 0, 2, 0, -2], [0, 19, 0, -5, 0, 15], [0, 15, 0, 1, 0, -8], [0, 6, 0, -2, 0, 2], [-33, 0, 7, 0, -12, 0], [42, 0, -2, 0, 2, 0], [0, 6, 0, -10, 0, 8], [0, 14, 0, 8, 0, 7], [0, 3, 0, 17, 0, 7], [0, -11, 0, -5, 0, 19], [0, 16, 0, 0, 0, -8], [29, 0, -13, 0, 2, 0], [50, 0, 6, 0, -2, 0], [0, -16, 0, 5, 0, 5], [-15, 0, 4, 0, 5, 0], [6, 0, -4, 0, -4, 0], [0, 3, 0, 3, 0, -3], [-22, 0, -12, 0, -4, 0], [0, 23, 0, -7, 0, -1], [46, 0, -12, 0, -4, 0], [24, 0, -14, 0, 4, 0], [0, 4, 0, -8, 0, 0], [0, 13, 0, 15, 0, -6], [3, 0, 14, 0, -9, 0], [18, 0, -8, 0, 14, 0], [-4, 0, -2, 0, -12, 0], [0, 1, 0, -5, 0, 10], [41, 0, -4, 0, -5, 0], [-6, 0, -4, 0, 0, 0], [0, -9, 0, 3, 0, 3], [-8, 0, 12, 0, 4, 0], [-22, 0, 16, 0, 10, 0], [0, -17, 0, -7, 0, 11], [-18, 0, 12, 0, 0, 0], [0, 6, 0, -4, 0, 12], [-26, 0, 0, 0, -10, 0], [0, 17, 0, -6, 0, -3], [0, -13, 0, -11, 0, 7], [30, 0, -4, 0, -4, 0], [40, 0, -10, 0, 4, 0], [0, 1, 0, -3, 0, 4], [0, -16, 0, -6, 0, -2], [0, -24, 0, -1, 0, -7], [0, -12, 0, -8, 0, 18], [-42, 0, 12, 0, -4, 0], [0, -11, 0, -5, 0, -9], [0, -24, 0, -6, 0, 0], [23, 0, 7, 0, 4, 0], [51, 0, -8, 0, -3, 0], [0, 16, 0, -6, 0, 3], [14, 0, 8, 0, -8, 0], [20, 0, -14, 0, -6, 0], [0, -3, 0, 3, 0, 10], [24, 0, -10, 0, 0, 0], [0, 25, 0, -17, 0, 7], [-14, 0, -24, 0, 8, 0], [-28, 0, 18, 0, -4, 0], [0, 24, 0, -2, 0, -10], [20, 0, -12, 0, 6, 0], [0, 27, 0, 7, 0, -18], [0, 9, 0, 5, 0, 3], [37, 0, -12, 0, -1, 0], [13, 0, 23, 0, -6, 0], [0, 10, 0, 16, 0, 4], [0, -12, 0, -9, 0, -4], [0, 15, 0, 1, 0, 22], [18, 0, -4, 0, -12, 0], [0, -21, 0, 9, 0, 0], [36, 0, 4, 0, 4, 0], [0, 13, 0, -4, 0, 9], [-32, 0, 10, 0, -8, 0], [0, 16, 0, 12, 0, -18], [55, 0, 0, 0, 1, 0], [-19, 0, 2, 0, 11, 0], [0, 8, 0, -21, 0, 8], [0, -30, 0, 1, 0, -5], [-17, 0, 10, 0, -3, 0], [0, -1, 0, -1, 0, -13], [0, -17, 0, 2, 0, -9], [40, 0, -2, 0, 4, 0], [34, 0, 4, 0, -6, 0], [0, 14, 0, 3, 0, -14], [-28, 0, 14, 0, -12, 0], [-30, 0, -2, 0, -4, 0], [0, 0, 0, -4, 0, -7], [-36, 0, -2, 0, -4, 0], [-46, 0, 12, 0, -8, 0], [0, -9, 0, -11, 0, -7], [0, 3, 0, 27, 0, -5], [0, -14, 0, -12, 0, 4], [10, 0, -12, 0, 4, 0], [-22, 0, 4, 0, 4, 0], [12, 0, 4, 0, 2, 0], [0, -20, 0, -4, 0, 14], [0, 11, 0, -7, 0, -19], [0, -31, 0, 13, 0, -3], [0, -31, 0, -1, 0, 5], [26, 0, 0, 0, 12, 0], [16, 0, -20, 0, 6, 0], [-2, 0, 14, 0, -2, 0], [0, -2, 0, -10, 0, -20], [9, 0, -15, 0, -4, 0], [9, 0, -9, 0, 12, 0], [-39, 0, 0, 0, -5, 0], [0, -28, 0, -14, 0, 16], [15, 0, -3, 0, 10, 0], [0, -7, 0, -6, 0, 10], [-24, 0, -8, 0, -2, 0], [0, 15, 0, 7, 0, -15], [0, 10, 0, 10, 0, -1], [18, 0, 6, 0, -2, 0], [0, 5, 0, -7, 0, 21], [10, 0, 0, 0, 12, 0], [-7, 0, -6, 0, 5, 0], [0, 20, 0, 10, 0, -4], [14, 0, 28, 0, -6, 0], [-22, 0, -16, 0, 2, 0], [0, -10, 0, -10, 0, -13], [0, 5, 0, -1, 0, 15], [9, 0, 23, 0, -10, 0], [0, 4, 0, -10, 0, -11], [-14, 0, 16, 0, 0, 0], [-14, 0, -4, 0, 2, 0], [0, -8, 0, 0, 0, 10], [0, 5, 0, 1, 0, -25], [0, -10, 0, -1, 0, -10], [19, 0, 0, 0, 7, 0], [7, 0, -14, 0, 7, 0], [0, 3, 0, -6, 0, 11], [-1, 0, -5, 0, -6, 0], [0, 1, 0, -20, 0, 12], [0, -9, 0, 22, 0, -2], [0, 2, 0, -1, 0, 17], [16, 0, 10, 0, -2, 0], [0, -14, 0, -2, 0, 22], [14, 0, -8, 0, -6, 0], [0, -17, 0, 19, 0, -7], [0, 24, 0, 16, 0, -20], [-34, 0, -4, 0, -4, 0], [-14, 0, 0, 0, -12, 0], [-2, 0, 20, 0, -10, 0], [-18, 0, 4, 0, 8, 0], [-6, 0, 14, 0, -2, 0], [0, 23, 0, -14, 0, -5], [22, 0, -28, 0, 4, 0], [0, 13, 0, -5, 0, -1], [0, 16, 0, 2, 0, 7], [0, -20, 0, 4, 0, 7], [14, 0, 20, 0, -6, 0], [0, -37, 0, 5, 0, 3], [0, 28, 0, 10, 0, -18], [8, 0, -20, 0, -10, 0], [-53, 0, 0, 0, -3, 0], [0, -13, 0, 5, 0, 3], [0, 25, 0, -11, 0, -6], [0, 6, 0, -2, 0, 9], [-13, 0, 2, 0, 11, 0], [0, 8, 0, -13, 0, 1], [-49, 0, -3, 0, 4, 0], [0, 36, 0, 5, 0, -4], [13, 0, 6, 0, 5, 0], [5, 0, -20, 0, 3, 0], [6, 0, 24, 0, 2, 0], [0, 10, 0, 8, 0, -1], [-26, 0, -12, 0, 8, 0], [-25, 0, 1, 0, -18, 0], [0, -2, 0, 2, 0, 10], [19, 0, 7, 0, 8, 0], [56, 0, 8, 0, 2, 0], [0, -13, 0, 1, 0, 1], [0, -11, 0, -15, 0, 13], [39, 0, 16, 0, -3, 0], [48, 0, -4, 0, 8, 0], [0, -1, 0, -1, 0, 2], [0, -19, 0, -14, 0, 14], [-17, 0, 1, 0, 2, 0], [-18, 0, 24, 0, 2, 0], [0, -18, 0, 3, 0, 3], [0, -10, 0, 18, 0, -6], [-18, 0, 8, 0, -16, 0], [0, 28, 0, -6, 0, -4], [-54, 0, -4, 0, -2, 0], [-10, 0, 8, 0, 12, 0], [0, 7, 0, -6, 0, 7], [0, -13, 0, -27, 0, 10], [6, 0, -10, 0, -2, 0], [46, 0, 0, 0, 0, 0], [0, 9, 0, -6, 0, -10], [20, 0, 12, 0, 6, 0], [0, 3, 0, 3, 0, 15], [0, 0, 0, 6, 0, -10]], 'char_orbit_index': 1, 'field_poly': [-8, 0, 25, 0, -10, 0, 1], 'hecke_orbit_code': 184647584755748096, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1, 1, 1, 2], 'hecke_ring_inverse_denominators': [1, 1, 1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0], [3, 0, 1, 0, 0, 0], [0, 5, 0, 1, 0, 0], [15, 0, 6, 0, 1, 0], [0, 27, 0, 8, 0, 2]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0], [-3, 0, 1, 0, 0, 0], [0, -5, 0, 1, 0, 0], [3, 0, -6, 0, 1, 0], [0, 13, 0, -8, 0, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 6, 'label': '3328.2.a.bp', 'level': 3328, 'maxp': 2999, '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

  
  {'ALdims': [22, 26, 26, 22], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [11, 12, 12, 12], 'ALdims_old': [79, 82, 86, 82], 'Nk2': 13312, 'analytic_conductor': 26.574213792682112, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3328, 1, [1535, 261, 769], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 425, 'dim': 96, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 7], 'hecke_orbit_code': 33557760, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 6, 6], 'label': '3328.2.a', 'level': 3328, '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, 13], 'level_radical': 26, 'mf_dim': 472, 'mf_new_dim': 96, 'num_forms': 42, 'plus_dim': 44, 'prim_orbit_index': 1, 'relative_dim': 96, 'sturm_bound': 896, 'trace_bound': 9, 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, 640, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 0, 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: 1082621
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 42, 'source_is_minimal': False, 'source_label': '3328.2.a.bp', 'source_level': 3328, 'target_char_orbit': 2, 'target_dim': 12, 'target_hecke_orbit': 11, 'target_is_minimal': True, 'target_label': '1664.2.b.k', 'target_level': 1664, 'twist_class_label': '1664.2.b.k', 'twist_class_level': 1664, 'twisting_char_label': '16.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1082622
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 42, 'source_is_minimal': False, 'source_label': '3328.2.a.bp', 'source_level': 3328, 'target_char_orbit': 2, 'target_dim': 12, 'target_hecke_orbit': 11, 'target_is_minimal': True, 'target_label': '1664.2.b.k', 'target_level': 1664, 'twist_class_label': '1664.2.b.k', 'twist_class_level': 1664, 'twisting_char_label': '16.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1082623
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 42, 'source_is_minimal': False, 'source_label': '3328.2.a.bp', 'source_level': 3328, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 41, 'target_is_minimal': False, 'target_label': '3328.2.a.bo', 'target_level': 3328, 'twist_class_label': '1664.2.b.k', 'twist_class_level': 1664, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1082624
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 42, 'source_is_minimal': False, 'source_label': '3328.2.a.bp', 'source_level': 3328, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 41, 'target_is_minimal': False, 'target_label': '3328.2.a.bo', 'target_level': 3328, 'twist_class_label': '1664.2.b.k', 'twist_class_level': 1664, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1082625
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 42, 'source_is_minimal': False, 'source_label': '3328.2.a.bp', 'source_level': 3328, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 42, 'target_is_minimal': False, 'target_label': '3328.2.a.bp', 'target_level': 3328, 'twist_class_label': '1664.2.b.k', 'twist_class_level': 1664, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1082626
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 42, 'source_is_minimal': False, 'source_label': '3328.2.a.bp', 'source_level': 3328, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 42, 'target_is_minimal': False, 'target_label': '3328.2.a.bp', 'target_level': 3328, 'twist_class_label': '1664.2.b.k', 'twist_class_level': 1664, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3124000
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 184647584755748096, 'p': 2}
  • id: 3124001
    {'charpoly_factorization': [[[-8, 0, 25, 0, -10, 0, 1], 1]], 'hecke_orbit_code': 184647584755748096, 'p': 3}
  • id: 3124002
    {'charpoly_factorization': [[[10, -3, -4, 1], 2]], 'hecke_orbit_code': 184647584755748096, 'p': 5}
  • id: 3124003
    {'charpoly_factorization': [[[-242, 0, 125, 0, -20, 0, 1], 1]], 'hecke_orbit_code': 184647584755748096, 'p': 7}
  • id: 3124004
    {'charpoly_factorization': [[[-800, 0, 416, 0, -42, 0, 1], 1]], 'hecke_orbit_code': 184647584755748096, 'p': 11}
  • id: 3124005
    {'charpoly_factorization': [[[-1, 1], 6]], 'hecke_orbit_code': 184647584755748096, 'p': 13}
  • id: 3124006
    {'charpoly_factorization': [[[-44, -23, 2, 1], 2]], 'hecke_orbit_code': 184647584755748096, 'p': 17}
  • id: 3124007
    {'charpoly_factorization': [[[-512, 0, 704, 0, -66, 0, 1], 1]], 'hecke_orbit_code': 184647584755748096, 'p': 19}
  • id: 3124008
    {'charpoly_factorization': [[[-512, 0, 400, 0, -40, 0, 1], 1]], 'hecke_orbit_code': 184647584755748096, 'p': 23}
  • id: 3124009
    {'charpoly_factorization': [[[-2, 1], 6]], 'hecke_orbit_code': 184647584755748096, 'p': 29}
  • id: 3124010
    {'charpoly_factorization': [[[-128, 0, 288, 0, -34, 0, 1], 1]], 'hecke_orbit_code': 184647584755748096, 'p': 31}
  • id: 3124011
    {'charpoly_factorization': [[[50, 5, -12, 1], 2]], 'hecke_orbit_code': 184647584755748096, 'p': 37}
  • id: 3124012
    {'charpoly_factorization': [[[512, -64, -10, 1], 2]], 'hecke_orbit_code': 184647584755748096, 'p': 41}
  • id: 3124013
    {'charpoly_factorization': [[[-32, 0, 265, 0, -34, 0, 1], 1]], 'hecke_orbit_code': 184647584755748096, 'p': 43}
  • id: 3124014
    {'charpoly_factorization': [[[-50, 0, 669, 0, -52, 0, 1], 1]], 'hecke_orbit_code': 184647584755748096, 'p': 47}
  • id: 3124015
    {'charpoly_factorization': [[[592, -12, -16, 1], 2]], 'hecke_orbit_code': 184647584755748096, 'p': 53}
  • id: 3124016
    {'charpoly_factorization': [[[-2048, 0, 1152, 0, -130, 0, 1], 1]], 'hecke_orbit_code': 184647584755748096, 'p': 59}
  • id: 3124017
    {'charpoly_factorization': [[[-128, -96, -4, 1], 2]], 'hecke_orbit_code': 184647584755748096, 'p': 61}
  • id: 3124018
    {'charpoly_factorization': [[[-43808, 0, 6688, 0, -202, 0, 1], 1]], 'hecke_orbit_code': 184647584755748096, 'p': 67}
  • id: 3124019
    {'charpoly_factorization': [[[-7442, 0, 8653, 0, -196, 0, 1], 1]], 'hecke_orbit_code': 184647584755748096, 'p': 71}
  • id: 3124020
    {'charpoly_factorization': [[[128, -160, 6, 1], 2]], 'hecke_orbit_code': 184647584755748096, 'p': 73}
  • id: 3124021
    {'charpoly_factorization': [[[-574592, 0, 22736, 0, -272, 0, 1], 1]], 'hecke_orbit_code': 184647584755748096, 'p': 79}
  • id: 3124022
    {'charpoly_factorization': [[[-161312, 0, 13088, 0, -218, 0, 1], 1]], 'hecke_orbit_code': 184647584755748096, 'p': 83}
  • id: 3124023
    {'charpoly_factorization': [[[-32, -32, 2, 1], 2]], 'hecke_orbit_code': 184647584755748096, 'p': 89}
  • id: 3124024
    {'charpoly_factorization': [[[488, -100, -10, 1], 2]], 'hecke_orbit_code': 184647584755748096, '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': 1, 'hecke_orbit': 42, 'label': '3328.2.a.bp', 'level': 3328, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 70677271
    {'hecke_orbit_code': 184647584755748096, 'n': 1, 'trace_an': 6}
  • id: 70677272
    {'hecke_orbit_code': 184647584755748096, 'n': 2, 'trace_an': 0}
  • id: 70677273
    {'hecke_orbit_code': 184647584755748096, 'n': 3, 'trace_an': 0}
  • id: 70677274
    {'hecke_orbit_code': 184647584755748096, 'n': 4, 'trace_an': 0}
  • id: 70677275
    {'hecke_orbit_code': 184647584755748096, 'n': 5, 'trace_an': 8}
  • id: 70677276
    {'hecke_orbit_code': 184647584755748096, 'n': 6, 'trace_an': 0}
  • id: 70677277
    {'hecke_orbit_code': 184647584755748096, 'n': 7, 'trace_an': 0}
  • id: 70677278
    {'hecke_orbit_code': 184647584755748096, 'n': 8, 'trace_an': 0}
  • id: 70677279
    {'hecke_orbit_code': 184647584755748096, 'n': 9, 'trace_an': 2}
  • id: 70677280
    {'hecke_orbit_code': 184647584755748096, 'n': 10, 'trace_an': 0}
  • id: 70677281
    {'hecke_orbit_code': 184647584755748096, 'n': 11, 'trace_an': 0}
  • id: 70677282
    {'hecke_orbit_code': 184647584755748096, 'n': 12, 'trace_an': 0}
  • id: 70677283
    {'hecke_orbit_code': 184647584755748096, 'n': 13, 'trace_an': 6}
  • id: 70677284
    {'hecke_orbit_code': 184647584755748096, 'n': 14, 'trace_an': 0}
  • id: 70677285
    {'hecke_orbit_code': 184647584755748096, 'n': 15, 'trace_an': 0}
  • id: 70677286
    {'hecke_orbit_code': 184647584755748096, 'n': 16, 'trace_an': 0}
  • id: 70677287
    {'hecke_orbit_code': 184647584755748096, 'n': 17, 'trace_an': -4}
  • id: 70677288
    {'hecke_orbit_code': 184647584755748096, 'n': 18, 'trace_an': 0}
  • id: 70677289
    {'hecke_orbit_code': 184647584755748096, 'n': 19, 'trace_an': 0}
  • id: 70677290
    {'hecke_orbit_code': 184647584755748096, 'n': 20, 'trace_an': 0}
  • id: 70677291
    {'hecke_orbit_code': 184647584755748096, 'n': 21, 'trace_an': -4}
  • id: 70677292
    {'hecke_orbit_code': 184647584755748096, 'n': 22, 'trace_an': 0}
  • id: 70677293
    {'hecke_orbit_code': 184647584755748096, 'n': 23, 'trace_an': 0}
  • id: 70677294
    {'hecke_orbit_code': 184647584755748096, 'n': 24, 'trace_an': 0}
  • id: 70677295
    {'hecke_orbit_code': 184647584755748096, 'n': 25, 'trace_an': 14}
  • id: 70677296
    {'hecke_orbit_code': 184647584755748096, 'n': 26, 'trace_an': 0}
  • id: 70677297
    {'hecke_orbit_code': 184647584755748096, 'n': 27, 'trace_an': 0}
  • id: 70677298
    {'hecke_orbit_code': 184647584755748096, 'n': 28, 'trace_an': 0}
  • id: 70677299
    {'hecke_orbit_code': 184647584755748096, 'n': 29, 'trace_an': 12}
  • id: 70677300
    {'hecke_orbit_code': 184647584755748096, 'n': 30, 'trace_an': 0}
  • id: 70677301
    {'hecke_orbit_code': 184647584755748096, 'n': 31, 'trace_an': 0}
  • id: 70677302
    {'hecke_orbit_code': 184647584755748096, 'n': 32, 'trace_an': 0}
  • id: 70677303
    {'hecke_orbit_code': 184647584755748096, 'n': 33, 'trace_an': 16}
  • id: 70677304
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  • id: 70677305
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  • id: 70677306
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  • id: 70677307
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  • id: 70677308
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  • id: 70677309
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  • id: 70677310
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  • id: 70677311
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  • id: 70677312
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  • id: 70677313
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  • id: 70677314
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  • id: 70677315
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  • id: 70677316
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  • id: 70677317
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  • id: 70677318
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  • id: 70677319
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  • id: 70677320
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  • id: 70677321
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  • id: 70677322
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  • id: 70677323
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  • id: 70677324
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  • id: 70677325
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  • id: 70677326
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  • id: 70677327
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  • id: 70677328
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  • id: 70677329
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  • id: 70677330
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  • id: 70677331
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  • id: 70677332
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  • id: 70677333
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  • id: 70677334
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  • id: 70677335
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  • id: 70677336
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  • id: 70677337
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  • id: 70677338
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  • id: 70677339
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  • id: 70677340
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  • id: 70677341
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  • id: 70677342
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  • id: 70677343
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  • id: 70677344
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  • id: 70677345
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  • id: 70677346
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  • id: 70677347
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  • id: 70677348
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  • id: 70677349
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  • id: 70677350
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  • id: 70677351
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  • id: 70677352
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  • id: 70677353
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  • id: 70677355
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  • id: 70677356
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  • id: 70677357
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  • id: 70677359
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  • id: 70677360
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  • id: 70677361
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  • id: 70677362
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  • id: 70677363
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  • id: 70677364
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  • id: 70677365
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  • id: 70677366
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  • id: 70677367
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  • id: 70677368
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  • id: 70677369
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  • id: 70677370
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  • id: 70677371
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  • id: 70677372
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  • id: 70677373
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  • id: 70677374
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  • id: 70677375
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  • id: 70677376
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  • id: 70677377
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  • id: 70677378
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  • id: 70677379
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  • id: 70677380
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  • id: 70677381
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  • id: 70677382
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  • id: 70677383
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  • id: 70677384
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  • id: 70677385
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  • id: 70677386
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  • id: 70677387
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  • id: 70677388
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  • id: 70677389
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  • id: 70677390
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  • id: 70677391
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  • id: 70677392
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  • id: 70677393
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  • id: 70677394
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  • id: 70677395
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  • id: 70677396
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  • id: 70677397
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  • id: 70677398
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  • id: 70677399
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  • id: 70677400
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  • id: 70677401
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  • id: 70677402
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  • id: 70677403
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  • id: 70677404
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  • id: 70677405
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  • id: 70677406
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  • id: 70677407
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  • id: 70677408
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  • id: 70677409
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  • id: 70677410
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  • id: 70677411
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  • id: 70677412
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  • id: 70677413
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  • id: 70677414
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  • id: 70677415
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  • id: 70677416
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  • id: 70677417
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  • id: 70677418
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  • id: 70677419
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  • id: 70677420
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  • id: 70677421
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  • id: 70677422
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  • id: 70677423
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  • id: 70677424
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  • id: 70677425
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  • id: 70677426
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  • id: 70677427
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  • id: 70677428
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  • id: 70677429
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  • id: 70677430
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  • id: 70677431
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  • id: 70677432
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  • id: 70677433
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  • id: 70677434
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  • id: 70677435
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  • id: 70677436
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  • id: 70677437
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  • id: 70677438
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  • id: 70677439
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  • id: 70677440
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  • id: 70677441
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  • id: 70677442
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  • id: 70677443
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  • id: 70677444
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  • id: 70677445
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  • id: 70677446
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  • id: 70677447
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  • id: 70677448
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  • id: 70677449
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  • id: 70677450
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  • id: 70677451
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  • id: 70677452
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  • id: 70677453
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  • id: 70677454
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  • id: 70677455
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  • id: 70677456
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  • id: 70677457
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  • id: 70677458
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  • id: 70677459
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  • id: 70677460
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  • id: 70677461
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  • id: 70677462
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  • id: 70677463
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  • id: 70677464
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  • id: 70677465
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  • id: 70677466
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  • id: 70677467
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  • id: 70677468
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  • id: 70677469
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  • id: 70677470
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  • id: 70677471
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  • id: 70677472
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  • id: 70677473
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  • id: 70677475
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  • id: 70677476
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  • id: 70677477
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  • id: 70677478
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  • id: 70677479
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  • id: 70677480
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  • id: 70677481
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  • id: 70677482
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  • id: 70677483
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  • id: 70677484
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  • id: 70677485
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  • id: 70677486
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  • id: 70677487
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  • id: 70677488
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  • id: 70677489
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  • id: 70677490
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  • id: 70677491
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  • id: 70677492
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  • id: 70677493
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  • id: 70677494
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  • id: 70677495
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  • id: 70677496
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  • id: 70677497
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  • id: 70677498
    {'hecke_orbit_code': 184647584755748096, 'n': 809, 'trace_an': -84}
  • id: 70677499
    {'hecke_orbit_code': 184647584755748096, 'n': 811, 'trace_an': 0}
  • id: 70677500
    {'hecke_orbit_code': 184647584755748096, 'n': 821, 'trace_an': -88}
  • id: 70677501
    {'hecke_orbit_code': 184647584755748096, 'n': 823, 'trace_an': 0}
  • id: 70677502
    {'hecke_orbit_code': 184647584755748096, 'n': 827, 'trace_an': 0}
  • id: 70677503
    {'hecke_orbit_code': 184647584755748096, 'n': 829, 'trace_an': -72}
  • id: 70677504
    {'hecke_orbit_code': 184647584755748096, 'n': 839, 'trace_an': 0}
  • id: 70677505
    {'hecke_orbit_code': 184647584755748096, 'n': 841, 'trace_an': -150}
  • id: 70677506
    {'hecke_orbit_code': 184647584755748096, 'n': 853, 'trace_an': -104}
  • id: 70677507
    {'hecke_orbit_code': 184647584755748096, 'n': 857, 'trace_an': -20}
  • id: 70677508
    {'hecke_orbit_code': 184647584755748096, 'n': 859, 'trace_an': 0}
  • id: 70677509
    {'hecke_orbit_code': 184647584755748096, 'n': 863, 'trace_an': 0}
  • id: 70677510
    {'hecke_orbit_code': 184647584755748096, 'n': 877, 'trace_an': 72}
  • id: 70677511
    {'hecke_orbit_code': 184647584755748096, 'n': 881, 'trace_an': 56}
  • id: 70677512
    {'hecke_orbit_code': 184647584755748096, 'n': 883, 'trace_an': 0}
  • id: 70677513
    {'hecke_orbit_code': 184647584755748096, 'n': 887, 'trace_an': 0}
  • id: 70677514
    {'hecke_orbit_code': 184647584755748096, 'n': 907, 'trace_an': 0}
  • id: 70677515
    {'hecke_orbit_code': 184647584755748096, 'n': 911, 'trace_an': 0}
  • id: 70677516
    {'hecke_orbit_code': 184647584755748096, 'n': 919, 'trace_an': 0}
  • id: 70677517
    {'hecke_orbit_code': 184647584755748096, 'n': 929, 'trace_an': 4}
  • id: 70677518
    {'hecke_orbit_code': 184647584755748096, 'n': 937, 'trace_an': 36}
  • id: 70677519
    {'hecke_orbit_code': 184647584755748096, 'n': 941, 'trace_an': 64}
  • id: 70677520
    {'hecke_orbit_code': 184647584755748096, 'n': 947, 'trace_an': 0}
  • id: 70677521
    {'hecke_orbit_code': 184647584755748096, 'n': 953, 'trace_an': 112}
  • id: 70677522
    {'hecke_orbit_code': 184647584755748096, 'n': 961, 'trace_an': -118}
  • id: 70677523
    {'hecke_orbit_code': 184647584755748096, 'n': 967, 'trace_an': 0}
  • id: 70677524
    {'hecke_orbit_code': 184647584755748096, 'n': 971, 'trace_an': 0}
  • id: 70677525
    {'hecke_orbit_code': 184647584755748096, 'n': 977, 'trace_an': 52}
  • id: 70677526
    {'hecke_orbit_code': 184647584755748096, 'n': 983, 'trace_an': 0}
  • id: 70677527
    {'hecke_orbit_code': 184647584755748096, 'n': 991, 'trace_an': 0}
  • id: 70677528
    {'hecke_orbit_code': 184647584755748096, 'n': 997, 'trace_an': 144}