Newform data - 1425.2.a.p

Formats: - HTML - YAML - JSON - 2026-03-07T20:40:45.059982

• 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': 5700, 'analytic_conductor': 11.378682288032454, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, 1], [19, 1]], 'atkin_lehner_string': '-++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1425, 1, [476, 1027, 1351], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 28, 'field_disc_factorization': [[2, 2], [7, 1]], 'field_poly': [-7, 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': 0, 'hecke_cutters': [[2, [-7, 0, 1]], [7, [-6, -2, 1]], [11, [2, -6, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444113297, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1425.2.a.p', 'level': 1425, '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': [3, 5, 19], 'level_radical': 285, 'minimal_twist': '285.2.a.d', 'nf_label': '2.2.28.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta q^{2}+q^{3}+5q^{4}+\\beta q^{6}+(1-\\beta )q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1425.2.a', 'trace_display': [0, 2, 0, 2], 'trace_hash': 1747263569171438905, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.948', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.568', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '66.102', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.019', 'prec': 17}, 'traces': [2, 0, 2, 10, 0, 0, 2, 0, 2, 0, 6, 10, 6, -14, 0, 22, 8, 0, -2, 0, 2, -14, -8, 0, 0, -14, 2, 10, 2, 0, 12, 0, 6, 0, 0, 10, -2, 0, 6, 0, -14, -14, -6, 30, 0, -28, -8, 22, 2, 0, 8, 30, -12, 0, 0, -42, -2, 42, 12, 0, -12, 0, 2, 26, 0, -14, -8, 40, -8, 0, 4, 0, -20, -14, 0, -10, 20, -14, -8, 0, 2, -14, -12, 10, 0, -14, 2, -42, -18, 0, 20, -40, 12, 28, 0, 0, -10, -28, 6, 0, 8, 0, 0, -42, 0, -28, 0, 10, 0, 0, -2, 22, 8, 0, 0, 10, 6, 28, 8, 0, 10, -28, -14, 60, 0, -14, -8, 0, -6, 0, -2, 30, -2, 56, 0, 0, -12, -28, 4, 0, -8, 28, 32, 22, 0, 0, 2, -10, -20, 0, 4, 0, 8, -56, 0, 30, 16, 56, -12, 0, 20, 0, 10, -70, 0, 0, 32, -42, 6, 0, -2, -30, 0, 42, 0, 66, 12, -42, -4, 0, 24, -56, -12, -84, 0, 0, 24, -40, 2, 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40, -112, -48, 0, 6, -56, -124, 280, 0, -56, -8, -20, -144, 0, 26, 210, -24, -154, 0, 170, 18, 84, -32, 0, -84, 0, -56, 300, 0, 0, -88, 84, 12, 0, 68, 120, 112, -154, 0, 0, -12, -84, -8, 0, 30, -56, -40, -168, 0, -42, 2, 140, -16, 0, 4, -132, -24, -56, 0, -60, 24, -84, -36, 0, 24, -14, -36, -10, 0, -196, 8, -140, -6, 0, -80, -320, -8, -14, 0, -168, -40, 0, 152, 0, 68, 28, -6, 44, 0, 56, -8, 220, 0, 0, -44, 0, -148, 210, 0, -20, -12, 42, -84, 0, -12, -28, -36, 120, 0, -28, 0, -210, 0, 0, -4, -240, -68, 84, 0, -88, 40, -84, -38, 0, -8, 112, -120, 294, 0, 168, -36, 10, 52, 0, 16, 140, 140, 0, 0, -150, 4, 224, 64, 0, -4, -84, -12, 220, 0, 0, 10, 352, -28, 0, 160, -70, 114, -84, 0, 252, -52, 56, -10, 0, 8, -182, -64, -10, 0, -126, 28, 80, -34, 0, 148, 0, 32, 0, 0, 90, 100, 28, 28, 0, -104, -14, -88, -60, 0, -196, 16, 126, -48, 0, 12, -40, -44, 0, 0, 0, 14, -196, -24, 0, -4, 112, -16, 168, 0, -112, -96, 280, 2, 0, 120, 22, 44, 0, 0, -60, 164, -70, 28, 0, -44, 14, 16, 40, 0, -126, 12, -26, -112, 0, -36, -140, 8, 252, 0, -42, -6, -308, -8, 0, 8, 0, 68, -220, 0, 0, 120, 20, 48, 0, -80, -84, -4, 14, 0, 200, -32, 84, 94, 0, -54, -196, -18, 280, 0, -42, -12, 84, -60, 0, 22, -40, 8, 112, 0, 44, -128, -84, -112, 0, -18, 0, 72, 84, 0, -224, -60, 60, -52, 0, 128, 0, -8, -112, 0, -200, 156, 280, -20, 0, 124, -28, -108, -260, 0, -28, 96, 88, -48, 0, 6, 40, 104, 28, 0, 420, 20, -154, 68, 0, 0, -56, 0, -280, 0, 0, -6, -120, 18, 0, 76, 168, 6, 14, 0, 180, -60, -56, -48, 0, -8, 0, -112, -40, 0, -56, 16, 126, 2, 0, -8, 120, 20, -140, 0, 78, 124, 0, 8, 0, 112, 84, 132, -84, 0, 0, -56, -30, 40, 0, 12, 176, 140, 42, 0, -40, 28, 98, 112, 0, 24, 196, 70, -40, 0, 56, 2, 280, -38, 0, -74, -80, -80, -140, 0, -420, -64, 28, -80, 0, 94, -84, 12, -132, 0, -56, -14, 170, -122, 0, 8, 336, 36, -168, 0, 20, 112, -168, -40, 0, -88, 56, 108, -90, 0, 28, 16, 0, 16, 0, 12, 110, -72, -84, 0, 220, 16, -84, 0, 0, -144, -112, 0, 0, 0, 28, -16, 140, 40, 0, 62, 0, -76, 196, 0, 40, 44, 14, -32, 0, -2, -140, 12, 60, 0, 98, -80, 110, 0, 0, -68, -200, -80, -84, 0, 84, -6, -224, -10, 0, 110, 28, 64, -182, 0, 28, -32, -100, 64, 0, 66, 252, 48, 56, 0, 360, -32, -140, -148, 0, -4, -84, -32, -40, 0, -28, -2, -168, 26, 0, -20, 120, 20, 42, 0, 0, 84, 28, -108, 0, 48, -168, -8, -42, 0, -84, -8, -460, 64, 0, 132, 352, 6, 168, 0, 80, 84, 168, 8, 0, -40, -56, 22, -40, 0, 224, 24, -42, 48, 0, 4, 210, -76, -70, 0, -126, 12, -28, 62, 0, 20, -112, -48, 66, 0, 56, -2, -140, 8, 0, -44, 0, 62, -280, 0, -260, -32, -56, -28, 0, 20, -126, -12, 160, 0, -140, 8, -252, -30, 0, 132, 120, 32, 140, 0, -22, 80, 28, -36, 0, 36, 84, -104, 168, 0, -112, 0, 140, -52, 0, 68, -78, -48, 0, 0, -40, 72, 56, -108, 0, -128, -224, -4, -60, 0, -168, -84, 0, -16, 0, 40, 100, 8, 0, 0, 0, 80, 98, 4, 0, 0, 0, 128, 210, 0, 0, 8, -280, -78, 0, 136, 336, -2, 56, 0, 180, 96, -168, 30, 0, 74, -84, 84, 60, 0, 280, 48, -42, 22, 0, -72, 10, 116, 112, 0, -30, -24, 294, -2, 0, 120, 0, -50, -168, 0, 28, 152, -100, 84, 0, 20, 132, -42, 84, 0, -100, -96, 0, 128, 0, -44, 14, 32, -40, 0, -42, -60, -210, 36, 0, -124, -240, 12, 196, 0, -168, 68, 0, 0, 0, -76, -28, -52, -44, 0, 168, -8, 130, -4, 0, -36, -462, 24, -14, 0, 90, -12, -308, -8, 0, -32, -196, 10, -280, 0, -28, -48, 0, 0, 0, -44, 60, 92, -224, 0, 264, -84, 28, 104, 0, 78, -238, -16, -252, 0, -308, -8, 150, 2, 0, -56, -280, 0, 168, 0, 10, 26, -112, -80, 0, 32, -84, -48, -120, 0, 56, 16, -132, 92, 0, 28, -180, 20, -14, 0, -42, -12, -56, -40, 0, 0, -56, 0, -84, 0, 70, -20, -400, -16, 0, 124, -42, -46, 168, 0, -200, 64, 168, -124, 0, -36, 182, -16, -30, 0, -154, 52, 168, -60, 0, -156, 0, -8, -84, 0, 0, 112, 84, 44, 0, -88, 0, -16, 126, 0, 56, 168, -60, 44, 0, -64, 264, 140, -196, 0, 0, -2, 210, 62, 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, 1], [1, 0], [5, 0], [0, 0], [0, 1], [1, -1], [0, 3], [1, 0], [0, 0], [3, -1], [5, 0], [3, -1], [-7, 1], [0, 0], [11, 0], [4, 0], [0, 1], [-1, 0], [0, 0], [1, -1], [-7, 3], [-4, -2], [0, 3], [0, 0], [-7, 3], [1, 0], [5, -5], [1, 3], [0, 0], [6, 0], [0, 5], [3, -1], [0, 4], [0, 0], [5, 0], [-1, -1], [0, -1], [3, -1], [0, 0], [-7, -1], [-7, 1], [-3, -1], [15, -5], [0, 0], [-14, -4], [-4, 2], [11, 0], [1, -2], [0, 0], [4, 0], [15, -5], [-6, -2], [0, 1], [0, 0], [-21, 3], [-1, 0], [21, 1], [6, 2], [0, 0], [-6, -2], [0, 6], [1, -1], [13, 0], [0, 0], [-7, 3], [-4, 4], [20, 0], [-4, -2], [0, 0], [2, 2], [0, 3], [-10, 0], [-7, -1], [0, 0], [-5, 0], [10, -4], [-7, 3], [-4, 4], [0, 0], [1, 0], [-7, -7], [-6, 0], [5, -5], [0, 0], [-7, -3], [1, 3], [-21, 9], [-9, -3], [0, 0], [10, -4], [-20, -10], [6, 0], [14, -4], [0, 0], [0, 5], [-5, 3], [-14, 1], [3, -1], [0, 0]], 'ap': [[0, 1], [1, 0], [0, 0], [1, -1], [3, -1], [3, -1], [4, 0], [-1, 0], [-4, -2], [1, 3], [6, 0], [-1, -1], [-7, -1], [-3, -1], [-4, 2], [-6, -2], [6, 2], [-6, -2], [-4, 4], [2, 2], [-10, 0], [-4, 4], [-6, 0], [-9, -3], [-5, 3], [4, 2], [0, 4], [0, 0], [0, 2], [4, 0], [-4, 0], [-1, -5], [-6, 0], [2, 6], [-10, -4], [2, -4], [8, 2], [5, -1], [16, 2], [0, 0], [-2, -2], [12, 2], [-7, 5], [9, 1], [4, 8], [2, 2], [-8, 4], [8, -4], [16, -2], [14, -2], [18, 0], [13, 1], [6, 4], [-19, 1], [16, -4], [6, -4], [-9, 5], [-10, 2], [10, -4], [-19, -5], [-7, 7], [-16, 4], [-2, 10], [15, 3], [-12, -2], [6, -10], [22, -4], [-7, -3], [-26, 0], [2, 8], [10, -4], [-7, -11], [1, -1], [-13, 3], [10, 0], [8, 4], [-6, 0], [2, 0], [3, -3], [-12, 2], [31, 3], [18, 4], [-2, 2], [25, 1], [-12, 4], [-32, 2], [-23, -5], [-16, 6], [-6, -12], [17, 7], [-4, -6], [7, -1], [-2, -6], [-19, 5], [6, -14], [2, 0], [-5, -11], [-7, 11], [18, 2], [30, 0], [14, -6], [22, -4], [-24, 6], [-15, 3], [22, -2], [8, 2], [28, 2], [-14, 4], [20, -4], [28, -2], [6, 14], [4, 10], [-12, 0], [18, 2], [-4, -4], [-9, -3], [11, 1], [14, -4], [-20, 4], [36, -4], [-4, 2], [21, -3], [-14, -10], [12, -12], [-6, -14], [6, 4], [-10, 2], [9, 9], [15, -11], [-18, 4], [-20, 0], [0, 4], [-34, -4], [8, 6], [-6, 12], [14, -12], [14, -2], [-22, -6], [-40, 0], [-30, 4], [-4, 16], [0, 18], [9, -5], [-4, -10], [8, -2], [14, -10], [-20, 2], [6, -14], [8, -16], [20, 0], [33, -3], [-16, 6], [13, -9], [24, 0], [10, 14], [16, 4], [36, -8], [4, -6], [-36, 6], [-25, 5], [-22, 4], [0, 4], [39, 1], [0, 0], [14, 14], [-8, -10], [-4, -12], [-32, 2], [30, 8], [26, 0], [-18, -6], [18, 4], [-31, 1], [-30, -12], [-4, -4], [-12, -6], [-6, -6], [-24, -6], [-14, -6], [18, -8], [27, -11], [-28, -4], [29, -3], [-12, -4], [-4, -14], [14, 0], [3, 15], [22, -2], [32, -6], [15, -13], [-1, -9], [12, -14], [-20, 8], [7, 1], [12, 18], [-4, 0], [6, -14], [-2, -16], [8, -8], [4, -2], [11, -11], [-20, -4], [65, 1], [10, 0], [11, 7], [0, -12], [20, -12], [8, 2], [48, -6], [4, -8], [-16, 14], [32, -10], [-7, 7], [4, -6], [-2, -10], [8, -6], [-19, 3], [-27, -9], [16, 10], [-40, -8], [-22, -16], [38, -12], [-9, 21], [-25, -3], [0, 14], [-46, 0], [12, 12], [-10, -22], [-24, -16], [11, -17], [-8, -22], [30, -8], [60, -4], [7, 13], [-9, -11], [36, -6], [-42, 6], [-62, 4], [27, 15], [2, 10], [4, -4], [0, 12], [17, 3], [-28, 10], [14, 10], [7, 7], [19, 9], [-44, -8], [54, 8], [-58, -4], [20, -6], [-2, 4], [6, -24], [-8, -22], [12, -4], [37, 5], [-6, 10], [-60, 4], [26, 10], [10, -24], [-44, -8], [0, -4], [18, 8], [-43, 1], [24, 0], [-18, -8], [-45, 5], [-24, -2], [-24, 4], [-52, -4], [-18, 8], [-36, -4], [28, 6], [-54, -6], [-11, -7], [27, 13], [-34, 4], [-4, -26], [20, 10], [5, 1], [-24, -4], [12, 16], [28, -2], [-14, -4], [-21, -3], [-21, 15], [22, 16], [-46, -2], [-12, -4], [-15, -21], [-16, 2], [-6, 8], [18, 18], [-38, -10], [-33, 7], [-32, 14], [36, -4], [12, 0], [24, 0], [-13, 17], [-58, -8], [-10, 26], [0, 4], [32, 10], [-26, -6], [9, -11], [-8, -4], [38, 12], [15, 3], [48, 6], [28, -10], [-30, -12], [7, -7], [-46, -10], [34, 16], [10, 0], [-21, 15], [52, -4], [24, 6], [-58, -8], [-18, -16], [20, 26], [3, 5], [-62, -2], [-12, 0], [-42, 4], [-4, 0], [-18, 14], [4, 2], [-4, 8], [34, 8], [-6, 22], [-42, 2], [-18, -16], [-2, 10], [-18, 20], [26, -24], [70, -2], [-2, 10], [5, -17], [57, 5], [-26, -8], [-17, 5], [74, 4], [-22, 14], [-12, 0], [-2, -14], [-48, -4], [60, -12], [82, 4], [-18, 12], [-3, 9], [4, -6], [34, -14], [24, -18], [-2, 14], [47, -1], [11, 19], [-64, -8], [36, 16], [78, -4], [62, -12], [48, 12], [34, 10], [-3, 7], [3, -1], [-30, 0], [66, 6], [12, -10], [-37, -5], [-40, -20], [6, -20], [-61, 1], [4, 32], [56, 6], [0, 32], [31, 11], [-38, 12], [0, 6], [-3, 17], [55, -3], [24, 24], [-1, 21], [42, 8], [-54, 12], [-4, -34], [66, 2], [42, 4], [11, 13], [12, -18], [24, -6], [-38, 6], [31, 19], [-1, -31], [-22, 30], [31, -9], [-14, 4], [-15, 15], [66, -8], [18, -24], [-26, -12], [-24, 0], [-42, 14], [40, 4], [-39, 7], [68, 8], [48, -14], [37, -9], [42, 6], [-1, -5], [-21, -9], [-48, 12], [16, -12], [-62, 2], [34, -12], [-38, 16], [-4, -16], [-24, -16], [-42, 0], [-8, -20], [1, -9], [13, -23], [8, -14], [-20, -20], [-23, 9], [32, 8], [-8, -8], [-30, 0], [-78, 2], [31, 19]], 'char_orbit_index': 1, 'field_poly': [-7, 0, 1], 'hecke_orbit_code': 67553994444113297, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '1425.2.a.p', 'level': 1425, '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': [6, 7, 7, 9, 9, 4, 5, 11], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [2, 3, 3, 3, 3, 3, 3, 3], 'ALdims_old': [16, 17, 19, 14, 17, 19, 16, 13], 'Nk2': 5700, 'analytic_conductor': 11.378682288032454, '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': [1425, 1, [476, 1027, 1351], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 189, 'dim': 58, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 33555857, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 7, 7], 'label': '1425.2.a', 'level': 1425, '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': [3, 5, 19], 'level_radical': 285, 'mf_dim': 212, 'mf_new_dim': 58, 'num_forms': 26, 'plus_dim': 24, 'prim_orbit_index': 1, 'relative_dim': 58, 'sturm_bound': 400, 'trace_bound': 11, 'trace_display': [-2, 0, 0, 2], 'traces': [58, -2, 0, 56, 0, 2, 2, -6, 58, 0, -10, 8, 4, 12, 0, 76, 14, -2, 4, 0, 0, -8, -4, -6, 0, -12, 0, 12, -32, 0, 12, -14, 8, 0, 0, 56, 0, 0, 16, 0, -4, 8, -14, -64, 0, -36, -14, 32, 88, 0, -4, 56, -8, 2, 0, 24, -2, 16, 16, 0, -6, 40, 2, 20, 0, 20, -24, 60, 4, 0, 24, -6, 22, -60, 0, 10, 6, -20, 8, 0, 58, -16, -36, -8, 0, -44, -4, -20, 0, 0, 20, -60, 0, -56, 0, 10, 60, 18, -10, 0, -60, -4, -28, 12, 0, 24, -28, 8, -136, 0, 24, -8, -16, 4, 0, -148, 4, 8, 10, 0, 72, -24, -36, 128, 0, 12, -20, 26, 32, 0, 34, 36, -2, -8, 0, -20, -18, -52, 18, 0, 16, 0, -12, 76, 0, 8, 48, 8, -74, 0, -32, -12, 14, -92, 0, 72, 84, 32, -44, 0, -40, -2, 16, 52, 0, 12, -28, -16, 86, 0, 4, -84, -32, 24, 0, -156, -8, 0, -92, 0, -100, -160, 24, 28, 0, -72, -54, -32, 0, 0, -138, 24, -16, -4, 0, 140, 52, -8, 58, 0, 48, -12, 20, -48, 0, 64, -4, 32, -30, 0, 0, -100, -24, -80, 0, -6, 44, 36, 32, 0, -12, -12, -32, 64, 0, -56, 44, -6, 46, 0, -52, 96, 34, -12, 0, 160, 16, 44, 14, 0, 8, 10, 0, -116, 0, -160, -16, 64, -12, 0, -6, 12, -8, -40, 0, -92, 52, -16, 104, 0, -32, -80, 50, -52, 0, -28, -52, -104, 24, 0, -8, 88, 56, -96, 0, -4, 6, 12, 12, 0, -32, 68, -14, 16, 0, 80, 56, -14, 44, 0, 32, 12, 12, -22, 0, -204, 8, -112, -8, 0, 38, -24, 48, 22, 0, 0, 72, 196, 8, 0, 98, 12, 52, 4, 0, -128, 20, -88, -92, 0, 48, 160, 14, 56, 0, 40, 24, -40, 2, 0, 8, -156, 0, 80, 0, 104, 36, -78, 44, 0, 76, 0, 46, -344, 0, -192, -54, 52, 14, 0, 16, -84, 76, -128, 0, -196, -36, -128, -74, 0, 58, 28, -56, -112, 0, 124, 0, -124, -4, 0, 84, -8, -56, -92, 0, 28, -56, 8, -20, 0, 32, 112, -52, 50, 0, -228, -14, -72, 138, 0, 80, -70, 24, -84, 0, -64, -106, -164, 16, 0, -292, 80, -32, -112, 0, -48, 80, -60, -76, 0, -28, 8, 8, -36, 0, -276, 16, 16, 124, 0, 76, -64, -14, -40, 0, -24, -18, -112, 8, 0, 28, 32, 140, 136, 0, -104, 12, -20, 84, 0, 88, -8, -222, 128, 0, 200, -52, 40, -76, 0, 168, -4, 24, -168, 0, 12, -118, 80, -4, 0, -74, -72, 78, -252, 0, 88, -126, 56, 168, 0, -16, 24, -74, -40, 0, -60, -8, 96, -84, 0, -64, 156, 24, -36, 0, 2, -32, -52, 40, 0, 84, -44, 100, 40, 0, 392, -160, -76, -82, 0, -24, 56, 76, 24, 0, 288, 0, -128, 176, 0, -86, 194, -2, 208, 0, -16, -22, 104, 132, 0, -196, 16, 108, 344, 0, -120, 84, 60, 210, 0, 16, -36, 16, 112, 0, -104, 24, 160, -96, 0, -86, 128, -8, -76, 0, -32, -4, -44, -6, 0, -4, -68, -112, 16, 0, -12, 118, 40, 252, 0, 0, -88, -160, -84, 0, 436, 2, 80, -208, 0, 96, 128, -64, 8, 0, 20, -14, -50, 32, 0, 184, 20, 44, -68, 0, -160, 138, 72, 12, 0, 24, -24, 92, 20, 0, -60, 0, -32, 160, 0, -120, -12, -24, 160, 0, 60, -36, 36, -72, 0, 172, 60, -26, 160, 0, -328, -178, 176, 96, 0, 4, 224, 84, -88, 0, 340, -8, -72, -152, 0, 386, 160, 32, -136, 0, -12, 8, 248, 24, 0, -112, -64, 18, 160, 0, 20, 126, -6, -48, 0, 152, 8, -154, -148, 0, 372, 22, 172, 52, 0, -24, -160, 56, 4, 0, -60, 8, 184, 32, 0, 270, -120, 16, 188, 0, 152, 48, -48, 180, 0, -192, -96, -12, 10, 0, -84, 72, -152, -368, 0, 206, -28, 6, 0, 0, -328, -128, 128, 12, 0, -44, -20, -20, -4, 0, -260, -12, -80, -140, 0, 8, -112, -256, -216, 0, 56, 80, -64, 54, 0, -348, -2, 64, -552, 0, 2, -10, -184, 58, 0, -254, -160, -68, 368, 0, -92, -208, -16, 170, 0, 12, 16, -8, -120, 0, 68, -36, 228, -204, 0, -24, -132, 56, -48, 0, -8, -14, 72, -8, 0, -354, -24, -152, -176, 0, -376, 144, -48, -422, 0, 44, 40, 52, -44, 0, 308, -56, -80, 0, 0, 104, -88, -4, 156, 0, -140, -40, 104, 40, 0, 300, -20, -4, 72, 0, 92, -4, -8, -10, 0, 0, -64, 98, -16, 0, 160, -28, 188, 74, 0, 188, -232, 16, 200, 0, -192, 14, -28, 20, 0, -354, -4, 10, 296, 0, 296, -48, -60, -48, 0, -72, 32, 12, 152, 0, -160, 0, -36, 276, 0, -66, 108, 44, -8, 0, -56, 92, -268, 112, 0, -72, 64, -44, 492, 0, 96, -108, -56, -6, 0, 88, -64, 120, 10, 0, 308, -40, 120, -240, 0, -112, 100, 60, 44, 0, -16, 84, 344, -84, 0, 30, 18, 34, -24, 0, 216, 208, -28, -92, 0, -10, -96, 6, -108, 0, -32, 48, -104, 32, 0, -36, 128, 104, -48, 0, 232, 20, -136, -60, 0, 228, 2, 8, 0, 0, 300, 82, -4, 104, 0, 168, -288, 80, -272, 0, 228, -28, 216, -100, 0, -2, 244, -112, 88, 0, 12, -162, -96, 160, 0, 80, 84, 184, 288, 0, 228, 4, 64, 92, 0, 4, -96, 68, 24, 0, 312, -104, -220, -310, 0, 186, -24, -28, 112, 0, -160, 208, -366, 8, 0, 168, 8, -226, 488, 0, 112, 32, -160, -188, 0, -136, 124, 120, -112, 0, 152, -76, -52, -104, 0, -136, -112, -80, -8, 0, -92, 182, -412, 24, 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: 730804
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '1425.2.a.p', 'source_level': 1425, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '285.2.a.d', 'target_level': 285, 'twist_class_label': '285.2.a.d', 'twist_class_level': 285, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 730805
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '1425.2.a.p', 'source_level': 1425, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '855.2.a.g', 'target_level': 855, 'twist_class_label': '285.2.a.d', 'twist_class_level': 285, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 730806
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '1425.2.a.p', 'source_level': 1425, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '1425.2.a.p', 'target_level': 1425, 'twist_class_label': '285.2.a.d', 'twist_class_level': 285, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 730807
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '1425.2.a.p', 'source_level': 1425, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '1425.2.c.i', 'target_level': 1425, 'twist_class_label': '285.2.a.d', 'twist_class_level': 285, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 730808
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '1425.2.a.p', 'source_level': 1425, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 21, 'target_is_minimal': False, 'target_label': '4275.2.a.u', 'target_level': 4275, 'twist_class_label': '285.2.a.d', 'twist_class_level': 285, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 730809
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '1425.2.a.p', 'source_level': 1425, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 41, 'target_is_minimal': False, 'target_label': '4560.2.a.bo', 'target_level': 4560, 'twist_class_label': '285.2.a.d', 'twist_class_level': 285, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 730810
    {'conductor': 95, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '1425.2.a.p', 'source_level': 1425, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 19, 'target_is_minimal': False, 'target_label': '5415.2.a.s', 'target_level': 5415, 'twist_class_label': '285.2.a.d', 'twist_class_level': 285, 'twisting_char_label': '95.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1937950
    {'charpoly_factorization': [[[-7, 0, 1], 1]], 'hecke_orbit_code': 67553994444113297, 'p': 2}
  • id: 1937951
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 67553994444113297, 'p': 3}
  • id: 1937952
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444113297, 'p': 5}
  • id: 1937953
    {'charpoly_factorization': [[[-6, -2, 1], 1]], 'hecke_orbit_code': 67553994444113297, 'p': 7}
  • id: 1937954
    {'charpoly_factorization': [[[2, -6, 1], 1]], 'hecke_orbit_code': 67553994444113297, 'p': 11}
  • id: 1937955
    {'charpoly_factorization': [[[2, -6, 1], 1]], 'hecke_orbit_code': 67553994444113297, 'p': 13}
  • id: 1937956
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 67553994444113297, 'p': 17}
  • id: 1937957
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 67553994444113297, 'p': 19}
  • id: 1937958
    {'charpoly_factorization': [[[-12, 8, 1], 1]], 'hecke_orbit_code': 67553994444113297, 'p': 23}
  • id: 1937959
    {'charpoly_factorization': [[[-62, -2, 1], 1]], 'hecke_orbit_code': 67553994444113297, 'p': 29}
  • id: 1937960
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 67553994444113297, 'p': 31}
  • id: 1937961
    {'charpoly_factorization': [[[-6, 2, 1], 1]], 'hecke_orbit_code': 67553994444113297, 'p': 37}
  • id: 1937962
    {'charpoly_factorization': [[[42, 14, 1], 1]], 'hecke_orbit_code': 67553994444113297, 'p': 41}
  • id: 1937963
    {'charpoly_factorization': [[[2, 6, 1], 1]], 'hecke_orbit_code': 67553994444113297, 'p': 43}
  • id: 1937964
    {'charpoly_factorization': [[[-12, 8, 1], 1]], 'hecke_orbit_code': 67553994444113297, 'p': 47}
  • id: 1937965
    {'charpoly_factorization': [[[8, 12, 1], 1]], 'hecke_orbit_code': 67553994444113297, 'p': 53}
  • id: 1937966
    {'charpoly_factorization': [[[8, -12, 1], 1]], 'hecke_orbit_code': 67553994444113297, 'p': 59}
  • id: 1937967
    {'charpoly_factorization': [[[8, 12, 1], 1]], 'hecke_orbit_code': 67553994444113297, 'p': 61}
  • id: 1937968
    {'charpoly_factorization': [[[-96, 8, 1], 1]], 'hecke_orbit_code': 67553994444113297, 'p': 67}
  • id: 1937969
    {'charpoly_factorization': [[[-24, -4, 1], 1]], 'hecke_orbit_code': 67553994444113297, 'p': 71}
  • id: 1937970
    {'charpoly_factorization': [[[10, 1], 2]], 'hecke_orbit_code': 67553994444113297, 'p': 73}
  • id: 1937971
    {'charpoly_factorization': [[[-96, 8, 1], 1]], 'hecke_orbit_code': 67553994444113297, 'p': 79}
  • id: 1937972
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 67553994444113297, 'p': 83}
  • id: 1937973
    {'charpoly_factorization': [[[18, 18, 1], 1]], 'hecke_orbit_code': 67553994444113297, 'p': 89}
  • id: 1937974
    {'charpoly_factorization': [[[-38, 10, 1], 1]], 'hecke_orbit_code': 67553994444113297, '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': 16, 'label': '1425.2.a.p', 'level': 1425, '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: 60375589
    {'hecke_orbit_code': 67553994444113297, 'n': 1, 'trace_an': 2}
  • id: 60375590
    {'hecke_orbit_code': 67553994444113297, 'n': 2, 'trace_an': 0}
  • id: 60375591
    {'hecke_orbit_code': 67553994444113297, 'n': 3, 'trace_an': 2}
  • id: 60375592
    {'hecke_orbit_code': 67553994444113297, 'n': 4, 'trace_an': 10}
  • id: 60375593
    {'hecke_orbit_code': 67553994444113297, 'n': 5, 'trace_an': 0}
  • id: 60375594
    {'hecke_orbit_code': 67553994444113297, 'n': 6, 'trace_an': 0}
  • id: 60375595
    {'hecke_orbit_code': 67553994444113297, 'n': 7, 'trace_an': 2}
  • id: 60375596
    {'hecke_orbit_code': 67553994444113297, 'n': 8, 'trace_an': 0}
  • id: 60375597
    {'hecke_orbit_code': 67553994444113297, 'n': 9, 'trace_an': 2}
  • id: 60375598
    {'hecke_orbit_code': 67553994444113297, 'n': 10, 'trace_an': 0}
  • id: 60375599
    {'hecke_orbit_code': 67553994444113297, 'n': 11, 'trace_an': 6}
  • id: 60375600
    {'hecke_orbit_code': 67553994444113297, 'n': 12, 'trace_an': 10}
  • id: 60375601
    {'hecke_orbit_code': 67553994444113297, 'n': 13, 'trace_an': 6}
  • id: 60375602
    {'hecke_orbit_code': 67553994444113297, 'n': 14, 'trace_an': -14}
  • id: 60375603
    {'hecke_orbit_code': 67553994444113297, 'n': 15, 'trace_an': 0}
  • id: 60375604
    {'hecke_orbit_code': 67553994444113297, 'n': 16, 'trace_an': 22}
  • id: 60375605
    {'hecke_orbit_code': 67553994444113297, 'n': 17, 'trace_an': 8}
  • id: 60375606
    {'hecke_orbit_code': 67553994444113297, 'n': 18, 'trace_an': 0}
  • id: 60375607
    {'hecke_orbit_code': 67553994444113297, 'n': 19, 'trace_an': -2}
  • id: 60375608
    {'hecke_orbit_code': 67553994444113297, 'n': 20, 'trace_an': 0}
  • id: 60375609
    {'hecke_orbit_code': 67553994444113297, 'n': 21, 'trace_an': 2}
  • id: 60375610
    {'hecke_orbit_code': 67553994444113297, 'n': 22, 'trace_an': -14}
  • id: 60375611
    {'hecke_orbit_code': 67553994444113297, 'n': 23, 'trace_an': -8}
  • id: 60375612
    {'hecke_orbit_code': 67553994444113297, 'n': 24, 'trace_an': 0}
  • id: 60375613
    {'hecke_orbit_code': 67553994444113297, 'n': 25, 'trace_an': 0}
  • id: 60375614
    {'hecke_orbit_code': 67553994444113297, 'n': 26, 'trace_an': -14}
  • id: 60375615
    {'hecke_orbit_code': 67553994444113297, 'n': 27, 'trace_an': 2}
  • id: 60375616
    {'hecke_orbit_code': 67553994444113297, 'n': 28, 'trace_an': 10}
  • id: 60375617
    {'hecke_orbit_code': 67553994444113297, 'n': 29, 'trace_an': 2}
  • id: 60375618
    {'hecke_orbit_code': 67553994444113297, 'n': 30, 'trace_an': 0}
  • id: 60375619
    {'hecke_orbit_code': 67553994444113297, 'n': 31, 'trace_an': 12}
  • id: 60375620
    {'hecke_orbit_code': 67553994444113297, 'n': 32, 'trace_an': 0}
  • id: 60375621
    {'hecke_orbit_code': 67553994444113297, 'n': 33, 'trace_an': 6}
  • id: 60375622
    {'hecke_orbit_code': 67553994444113297, 'n': 34, 'trace_an': 0}
  • id: 60375623
    {'hecke_orbit_code': 67553994444113297, 'n': 35, 'trace_an': 0}
  • id: 60375624
    {'hecke_orbit_code': 67553994444113297, 'n': 36, 'trace_an': 10}
  • id: 60375625
    {'hecke_orbit_code': 67553994444113297, 'n': 37, 'trace_an': -2}
  • id: 60375626
    {'hecke_orbit_code': 67553994444113297, 'n': 38, 'trace_an': 0}
  • id: 60375627
    {'hecke_orbit_code': 67553994444113297, 'n': 39, 'trace_an': 6}
  • id: 60375628
    {'hecke_orbit_code': 67553994444113297, 'n': 40, 'trace_an': 0}
  • id: 60375629
    {'hecke_orbit_code': 67553994444113297, 'n': 41, 'trace_an': -14}
  • id: 60375630
    {'hecke_orbit_code': 67553994444113297, 'n': 42, 'trace_an': -14}
  • id: 60375631
    {'hecke_orbit_code': 67553994444113297, 'n': 43, 'trace_an': -6}
  • id: 60375632
    {'hecke_orbit_code': 67553994444113297, 'n': 44, 'trace_an': 30}
  • id: 60375633
    {'hecke_orbit_code': 67553994444113297, 'n': 45, 'trace_an': 0}
  • id: 60375634
    {'hecke_orbit_code': 67553994444113297, 'n': 46, 'trace_an': -28}
  • id: 60375635
    {'hecke_orbit_code': 67553994444113297, 'n': 47, 'trace_an': -8}
  • id: 60375636
    {'hecke_orbit_code': 67553994444113297, 'n': 48, 'trace_an': 22}
  • id: 60375637
    {'hecke_orbit_code': 67553994444113297, 'n': 49, 'trace_an': 2}
  • id: 60375638
    {'hecke_orbit_code': 67553994444113297, 'n': 50, 'trace_an': 0}
  • id: 60375639
    {'hecke_orbit_code': 67553994444113297, 'n': 51, 'trace_an': 8}
  • id: 60375640
    {'hecke_orbit_code': 67553994444113297, 'n': 52, 'trace_an': 30}
  • id: 60375641
    {'hecke_orbit_code': 67553994444113297, 'n': 53, 'trace_an': -12}
  • id: 60375642
    {'hecke_orbit_code': 67553994444113297, 'n': 54, 'trace_an': 0}
  • id: 60375643
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  • id: 60375665
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  • id: 60375719
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  • id: 60375721
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  • id: 60375739
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  • id: 60375740
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  • id: 60375741
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  • id: 60375742
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  • id: 60375744
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  • id: 60375746
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  • id: 60375747
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  • id: 60375791
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  • id: 60375821
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  • id: 60375832
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  • id: 60375834
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  • id: 60375835
    {'hecke_orbit_code': 67553994444113297, 'n': 929, 'trace_an': 8}
  • id: 60375836
    {'hecke_orbit_code': 67553994444113297, 'n': 937, 'trace_an': -72}
  • id: 60375837
    {'hecke_orbit_code': 67553994444113297, 'n': 941, 'trace_an': -50}
  • id: 60375838
    {'hecke_orbit_code': 67553994444113297, 'n': 947, 'trace_an': -44}
  • id: 60375839
    {'hecke_orbit_code': 67553994444113297, 'n': 953, 'trace_an': 0}
  • id: 60375840
    {'hecke_orbit_code': 67553994444113297, 'n': 961, 'trace_an': 10}
  • id: 60375841
    {'hecke_orbit_code': 67553994444113297, 'n': 967, 'trace_an': 78}
  • id: 60375842
    {'hecke_orbit_code': 67553994444113297, 'n': 971, 'trace_an': 0}
  • id: 60375843
    {'hecke_orbit_code': 67553994444113297, 'n': 977, 'trace_an': 28}
  • id: 60375844
    {'hecke_orbit_code': 67553994444113297, 'n': 983, 'trace_an': -16}
  • id: 60375845
    {'hecke_orbit_code': 67553994444113297, 'n': 991, 'trace_an': -8}
  • id: 60375846
    {'hecke_orbit_code': 67553994444113297, 'n': 997, 'trace_an': -64}