Newform data - 8325.2.a.bn

Formats: - HTML - YAML - JSON - 2026-09-22T10:52:18.794184

• 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': 33300, 'analytic_conductor': 66.47545968271592, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, 1], [37, 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': [8325, 1, [3701, 7327, 5626], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 8, 'field_disc_factorization': [[2, 3]], 'field_poly': [-2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 8, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-1, -2, 1]], [7, [2, 1]], [11, [-8, 0, 1]], [13, [-4, -4, 1]]], 'hecke_orbit': 40, 'hecke_orbit_code': 175640385501012101, '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': '8325.2.a.bn', 'level': 8325, '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, 37], 'level_radical': 555, 'minimal_twist': '2775.2.a.k', 'nf_label': '2.2.8.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(1+\\beta )q^{2}+(1+2\\beta )q^{4}-2q^{7}+(3+\\cdots)q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '8325.2.a', 'trace_display': [2, 0, 0, -4], 'trace_hash': 294200975738137731, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.982', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.243', 'prec': 10}, {'__RealLiteral__': 0, 'data': '9.796', 'prec': 14}, {'__RealLiteral__': 0, 'data': '3.321', 'prec': 14}, {'__RealLiteral__': 0, 'data': '68.736', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.019', 'prec': 7}, 'traces': [2, 2, 0, 2, 0, 0, -4, 6, 0, 0, 0, 0, 4, -4, 0, 6, -4, 0, 6, 0, 0, -8, 6, 0, 0, 12, 0, -4, 4, 0, 12, -6, 0, 12, 0, 0, -2, -6, 0, 0, 10, 0, -6, -16, 0, 10, 12, 0, -6, 0, 0, 20, 6, 0, 0, -12, 0, 12, -18, 0, -24, 12, 0, -14, 0, 0, 4, 28, 0, 0, -8, 0, 6, -2, 0, -18, 0, 0, 10, 0, 0, -6, 8, 0, 0, 6, 0, -8, 20, 0, -8, 14, 0, 20, 0, 0, 0, -6, 0, 0, 14, 0, -6, 20, 0, -10, 0, 0, 28, 0, 0, -12, 0, 0, 0, 20, 0, -14, 8, 0, -6, -24, 0, 12, 0, 0, -8, -10, 0, 0, 12, 0, -12, 20, 0, 4, 4, 0, 24, 0, 0, 24, -16, 0, 0, 30, 0, -2, 10, 0, 32, 6, 0, 16, 0, 0, -2, 30, 0, 0, -12, 0, 14, -22, 0, -8, -10, 0, -2, 0, 0, 18, -4, 0, 0, 0, 0, 12, 12, 0, 2, -24, 0, 22, 0, 0, -32, 28, 0, 0, -30, 0, -32, -24, 0, -6, 46, 0, -2, 0, 0, 30, -8, 0, 0, 6, 0, 12, 24, 0, 0, -26, 0, 24, 0, 0, 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0, 0, 24, -60, 0, 0, 28, 0, 48, -54, 0, -36, -12, 0, -44, 0, 0, 12, -40, 0, 0, 36, 0, 24, 120, 0, 8, 150, 0, 88, 0, 0, 18, 168, 0, 0, 44, 0, 70, -48, 0, 24, 60, 0, -44, 0, 0, -34, -64, 0, 0, -164, 0, -36, 60, 0, -4, 4, 0, 48, 0, 0, 38, 44, 0, 0, -72, 0, -4, 4, 0, -12, 72, 0, 32, 0, 0, 134, -30, 0, 0, 48, 0, -16, 176, 0, 84, 92, 0, 64, 0, 0, 16, -72, 0, 0, -60, 0, 94, 54, 0, -156, 4, 0, 52, 0, 0, -18, 18, 0, 0, -88, 0, -124, -72, 0, 0, 12, 0, 72, 0, 0, 8, -60, 0, 0, -48, 0, -68, -12, 0, 44, -14, 0, -6, 0, 0, -100, -28, 0, 0, -152, 0, 14, 92, 0, -92, -88, 0, 72, 0, 0, -24, -180, 0, 0, -24, 0, 32, 142, 0, 12, 52, 0, 26, 0, 0, 54, 26, 0, 0, -2, 0, 56, -72, 0, 44, 10, 0, -30, 0, 0, 24, -88, 0, 0, 120, 0, 36, -138, 0, 0, -132, 0, 42, 0, 0, 56, 58, 0, 0, -144, 0, 56, -66, 0, 20, 44, 0, 92, 0, 0, -4, -48, 0, 0, 60, 0, -30, -12, 0, -28, -42, 0, -18, 0, 0, -68, -36, 0, 0, 72, 0, -12, -96, 0, -62, 50, 0, 88, 0, 0, 24, 72, 0, 0, 48, 0, 58, 48, 0, 36, 120, 0, 56, 0, 0, -16, -20, 0, 0, 6, 0, 60, 78, 0, -22, -18, 0, -126, 0, 0, -28, -2, 0, 0, -12, 0, -44, -48, 0, -108, -130, 0, 36, 0, 0, 76, -48, 0, 0, -60, 0, 14, -6, 0, 20, 114, 0, 0, 0, 0, 114, -4, 0, 0, -28, 0, 18, 30, 0, -30, 0, 0, -74, 0, 0, 92, -4, 0, 0, -80, 0, -80, 102, 0, -38, 52, 0, 14, 0, 0, -16, 12, 0, 0, 6, 0, -144, 16, 0, 96, -62, 0, -106, 0, 0, 72, -126, 0, 0, 20, 0, -124, -60, 0, -32, 102, 0, -4, 0, 0, 16, -34, 0, 0, -14, 0, 108, 168, 0, -92, -132, 0, 60, 0, 0, 2, 80, 0, 0, -72, 0, -36, 86, 0, 24, 152, 0, 16, 0, 0, 100, 140, 0, 0, 48, 0, 40, 102, 0, 136, -96, 0, -4, 0, 0, 84, -68, 0, 0, 48, 0, -26, 36, 0, 4, -8, 0, 12, 0, 0, -24, 100, 0, 0, -120, 0, -78, -24, 0, -120, 68, 0, 0, 0, 0, -6, -96, 0, 0, -28, 0, 176, 0, 0, 32, -96, 0, 4, 0, 0, -32, -10, 0, 0, -86, 0, 12, 44, 0, -146, 66, 0, 118, 0, 0, -36, -24, 0, 0, -12, 0, -60, 2, 0, 20, -64, 0, 72, 0, 0, -12, -56, 0, 0, 76, 0, -32, -130, 0, 52, -96, 0, -8, 0, 0, 36, 48, 0, 0, -36, 0, 108, -180, 0, 24, -108, 0, -108, 0, 0, 68, 2, 0, 0, -60, 0, -84, -28, 0, 136, -18, 0, -24, 0, 0, 56, -36, 0, 0, 60, 0, 42, -60, 0, 8, -56, 0, -40, 0, 0, 12, 32, 0, 0, 108, 0, 72, -38, 0, 148, 8, 0, -8, 0, 0, -88, 128, 0, 0, -228, 0, 42, -48, 0, 72, -18, 0, -176, 0, 0, -38, -36, 0, 0, -16, 0, 0, 38, 0, -40, 6, 0, -38, 0, 0, 112, -108, 0, 0, 36, 0, 84, 132, 0, -12, -30, 0, 68, 0, 0, 120, 12, 0, 0, 4, 0, 98, 192, 0, 100, -90, 0, -172, 0, 0, -126, -44, 0, 0, -126, 0, 24, 30, 0, -6, 0, 0, -6, 0, 0, 100, 162, 0, 0, -24, 0, 68, -74, 0, 96, 0, 0, -50, 0, 0, -116, -48, 0, 0, 104, 0, -48, 82, 0, 148, 4, 0, -54, 0, 0, -8, 2, 0, 0, 54, 0, -48, 120, 0, 92, -44, 0, 134, 0, 0, 18, 72, 0, 0, -36, 0, -76, 120, 0, 8, -54, 0, 100, 0, 0, 58, -12, 0, 0, -172, 0, -100, -18, 0, 102, 72, 0, -68, 0, 0, 96, -18, 0, 0, -68, 0, 140, 8, 0, -4, -186, 0, -48, 0, 0, 4, 100, 0, 0, 30, 0, 128, 92, 0, -120, -48, 0, -24, 0, 0, 18, -48, 0, 0, 96, 0, 164, -128, 0, -48, 16, 0, -136, 0, 0, 96, -92, 0, 0, 6, 0, 140, 104, 0, 60, 114, 0, -60, 0, 0, -36, 36, 0, 0, -102, 0, -68, 0, 0, -36, 84, 0, 48, 0, 0, -52, 16, 0, 0, 44, 0, 8, 36, 0, -2, -144, 0, 120, 0, 0, 120, 132, 0, 0, 204, 0, 192, 16, 0, 36, -48, 0, -36, 0, 0, -64, -24, 0, 0, 54, 0, 16, 4, 0, 6, 30, 0, -72, 0, 0, 130, -66, 0, 0, -50, 0, -84, -48, 0, -168, 8, 0, 120, 0, 0, 88, -116, 0, 0, 16, 0, -10, -84, 0, 0, 12, 0, 60, 0, 0, -132, -32, 0, 0, 36, 0, -96, -16, 0, -120, 0, 0, -74, 0, 0, -88, -64, 0, 0, 60, 0, -98, 48, 0, -188, -42, 0, -16, 0, 0, 78, -36, 0, 0, 20, 0, -4, 30, 0, 52, 120, 0, 92, 0, 0, -12, 94, 0, 0, 48, 0, -102, -108, 0, 44, 12, 0, 72, 0, 0, -96, -66, 0, 0, -96, 0, -70, -50, 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], [1, 1], [0, 0], [1, 2], [0, 0], [0, 0], [-2, 0], [3, 1], [0, 0], [0, 0], [0, -2], [0, 0], [2, 2], [-2, -2], [0, 0], [3, 0], [-2, 4], [0, 0], [3, -3], [0, 0], [0, 0], [-4, -2], [3, 1], [0, 0], [0, 0], [6, 4], [0, 0], [-2, -4], [2, 2], [0, 0], [6, 0], [-3, 1], [0, 0], [6, 2], [0, 0], [0, 0], [-1, 0], [-3, 0], [0, 0], [0, 0], [5, -4], [0, 0], [-3, 3], [-8, -2], [0, 0], [5, 4], [6, 2], [0, 0], [-3, 0], [0, 0], [0, 0], [10, 6], [3, -4], [0, 0], [0, 0], [-6, -2], [0, 0], [6, 4], [-9, 1], [0, 0], [-12, 0], [6, 6], [0, 0], [-7, -2], [0, 0], [0, 0], [2, 4], [14, 0], [0, 0], [0, 0], [-4, 8], [0, 0], [3, 6], [-1, -1], [0, 0], [-9, 3], [0, 4], [0, 0], [5, 5], [0, 0], [0, 0], [-3, 1], [4, -4], [0, 0], [0, 0], [3, 0], [0, 0], [-4, -6], [10, -2], [0, 0], [-4, -4], [7, 7], [0, 0], [10, 8], [0, 0], [0, 0], [0, -6], [-3, -3], [0, 0], [0, 0]], 'ap': [[1, 1], [0, 0], [0, 0], [-2, 0], [0, -2], [2, 2], [-2, 4], [3, -3], [3, 1], [2, 2], [6, 0], [-1, 0], [5, -4], [-3, 3], [6, 2], [3, -4], [-9, 1], [-12, 0], [2, 4], [-4, 8], [3, 6], [5, 5], [4, -4], [10, -2], [0, -6], [7, 4], [-3, 3], [0, 6], [14, -4], [0, -6], [-4, 10], [6, 0], [2, 4], [12, 0], [5, 2], [16, -2], [-1, 8], [7, -9], [-5, -5], [-2, -8], [6, 12], [1, -6], [-15, -1], [-16, 8], [23, -2], [-1, 9], [0, -6], [2, -10], [9, 3], [-3, 0], [15, 4], [1, 1], [-26, 2], [5, -1], [6, -12], [16, -2], [21, 2], [-8, -6], [-20, -8], [12, -4], [-25, 3], [-21, 0], [-8, -6], [-1, -5], [0, -6], [-23, -2], [-6, 0], [-9, -18], [15, 3], [-27, -6], [-12, -16], [24, -6], [2, 6], [-2, -24], [0, -6], [-1, 7], [12, 14], [17, 14], [12, -18], [-2, -18], [8, -10], [22, -2], [-25, -1], [-10, -16], [-1, 23], [10, -14], [-4, -22], [2, -2], [6, 12], [-2, -12], [2, 4], [14, 8], [6, -12], [6, -18], [-11, 1], [14, -16], [11, 10], [5, -8], [6, 0], [40, -2], [-14, -12], [-2, -22], [-15, 5], [-16, -14], [14, 8], [2, -2], [-5, 1], [1, 14], [0, -10], [7, 0], [-14, -12], [-23, 6], [6, 16], [4, 16], [2, 0], [-9, -14], [2, 4], [21, -5], [-12, -4], [6, -30], [-16, -18], [1, -16], [25, 14], [18, -4], [26, 6], [6, 10], [-18, 12], [22, 20], [22, -16], [14, -20], [-22, -18], [12, 12], [-12, -18], [22, 14], [9, -10], [-20, 24], [-30, -8], [-22, -2], [0, 26], [-6, -14], [14, 18], [17, 8], [0, 24], [30, 12], [20, 20], [18, 20], [-10, -12], [-2, -10], [15, 9], [50, -2], [7, -20], [25, 2], [2, 24], [-38, -4], [13, -15], [-19, 11], [6, -24], [-14, 4], [6, -24], [-42, 12], [-15, -15], [-9, -30], [-21, 21], [-14, -16], [-24, 16], [-36, -8], [7, 9], [16, -16], [-9, -6], [26, 16], [30, -8], [14, 28], [-18, -32], [-39, 0], [10, -20], [-24, 18], [33, 21], [15, -16], [-22, -30], [22, 0], [9, 9], [-27, 9], [-44, 0], [48, -6], [6, 8], [-21, 14], [35, 18], [-23, 11], [-8, -18], [-6, -14], [-8, 22], [-14, 16], [21, -15], [54, -8], [-24, 12], [-23, 4], [26, 0], [10, 0], [-34, 16], [10, -28], [-18, 0], [52, 12], [51, 0], [34, 8], [0, 44], [32, 2], [4, -16], [-30, 28], [22, 16], [-26, -14], [-14, 0], [32, -2], [14, 8], [24, -22], [11, 5], [-1, -4], [-11, 15], [-18, -20], [-5, -11], [-10, 28], [-35, 4], [-10, 30], [18, 32], [-5, -23], [24, 0], [20, -6], [27, -14], [12, 42], [2, 0], [3, 31], [-17, -4], [-26, -16], [28, -14], [7, 16], [-34, 22], [42, 2], [19, 14], [-6, 14], [-13, -11], [14, -20], [-7, -17], [38, 0], [16, 0], [-20, 20], [43, -2], [33, 9], [22, 12], [-37, -23], [22, 14], [-27, -33], [-12, -6], [6, 20], [4, -40], [12, 36], [-44, -16], [-14, -2], [-45, 0], [28, -34], [-18, 0], [-4, -18], [-10, -16], [-9, -35], [-29, 24], [-31, 36], [12, 0], [-56, -18], [-34, 4], [-8, -38], [10, -32], [-10, 32], [38, 6], [-31, -31], [-32, 20], [23, 41], [1, -30], [16, 4], [-32, 16], [-10, 30], [-15, -18], [14, 20], [24, -18], [-49, 11], [-20, -34], [-45, -24], [-2, -20], [-38, -16], [38, -4], [53, -4], [11, -15], [-36, -8], [-36, -16], [43, 7], [42, 12], [46, -16], [-30, 0], [-10, 16], [12, 42], [-45, 8], [-15, -27], [-26, -34], [-8, 50], [17, -22], [20, -18], [-23, 35], [-53, 9], [-22, -14], [-17, -37], [-2, -18], [-16, 4], [28, -20], [-4, 26], [5, -8], [14, -44], [24, -42], [-6, 32], [-22, -48], [60, -20], [22, -40], [35, -20], [30, 22], [-2, -36], [19, 18], [-36, 22], [-2, -22], [-15, -20], [42, -12], [26, -26], [-34, -12], [-7, 61], [-14, 32], [-46, -16], [26, 8], [13, -3], [13, -47], [22, 8], [-66, -4], [21, 30], [29, -14], [10, -4], [-2, 2], [-15, 24], [-21, -16], [-48, 20], [-31, -29], [-10, -40], [39, -3], [-11, -22], [-14, 16], [-6, 0], [-65, -10], [10, 8], [57, 24], [-14, -2], [9, 27], [-37, 18], [-2, 8], [51, 1], [3, 17], [-31, -10], [-63, 17], [8, 32], [-7, 34], [-66, -4], [43, -35], [50, 20], [20, 4], [-48, -16], [-39, -33], [16, -22], [-43, 35], [59, 23], [-12, 6], [1, -38], [10, -28], [-6, -24], [-90, 0], [-30, 14], [-42, 12], [-30, 42], [6, 12], [54, -18], [64, 22], [-19, 21], [3, -26], [-19, -21], [-54, -16], [-6, -6], [60, 6], [49, 27], [-45, -35], [-86, 0], [-22, -2], [15, -25], [50, 28], [-12, 10], [34, -12], [-25, -15], [41, 26], [74, -8], [27, 40], [67, -24], [36, -26], [29, 53], [36, -16], [4, 2], [-2, -2], [2, 20], [15, 30], [64, -14], [-64, -2], [70, -20], [57, -4], [18, 4], [-18, 36], [-26, -30], [22, -16], [8, 32], [-32, -34], [15, 46], [-33, -43], [-24, -24], [44, 20], [6, 14], [-8, -16], [-49, 26], [-21, -38], [-18, 8], [15, 40], [26, -26], [-25, 5]], 'char_orbit_index': 1, 'field_poly': [-2, 0, 1], 'hecke_orbit_code': 175640385501012101, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '8325.2.a.bn', 'level': 8325, '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': [24, 30, 32, 28, 42, 39, 44, 46], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [112, 111, 111, 109, 102, 99, 92, 96], 'Nk2': 33300, 'analytic_conductor': 66.47545968271592, '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': [8325, 1, [3701, 7327, 5626], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1117, 'dim': 285, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11, 13], 'hecke_orbit_code': 33562757, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 8, 8, 9, 9, 10, 10, 13, 13, 16, 16], 'label': '8325.2.a', 'level': 8325, '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, 37], 'level_radical': 555, 'mf_dim': 1164, 'mf_new_dim': 285, 'num_forms': 76, 'plus_dim': 135, 'prim_orbit_index': 1, 'relative_dim': 285, 'sturm_bound': 2280, 'trace_bound': 13, 'trace_display': [-1, 0, 0, 2], 'traces': [285, -1, 0, 289, 0, 0, 2, -15, 0, 0, 2, 0, 8, -2, 0, 297, 0, 0, 14, 0, 0, 2, -4, 0, 0, -18, 0, 4, 22, 0, 12, -11, 0, -10, 0, 0, 1, 4, 0, 0, -4, 0, 18, -20, 0, -28, 14, 0, 291, 0, 0, 10, 12, 0, 0, -28, 0, -10, -44, 0, -2, -32, 0, 301, 0, 0, 16, 46, 0, 0, 2, 0, 48, 5, 0, 4, -46, 0, -18, 0, 0, 4, 6, 0, 0, 8, 0, -36, 32, 0, -34, -72, 0, -94, 0, 0, 54, -7, 0, 0, -4, 0, -6, -22, 0, -64, -28, 0, -12, 0, 0, -32, -18, 0, 0, 22, 0, -8, 34, 0, 343, -22, 0, -56, 0, 0, -18, 5, 0, 0, -6, 0, 22, -64, 0, -114, 14, 0, 32, 0, 0, 18, -2, 0, 0, -152, 0, 3, 16, 0, -88, -48, 0, -18, 0, 0, 48, -28, 0, 0, 12, 0, -2, -98, 0, -86, 6, 0, 355, 0, 0, 48, 12, 0, 0, -60, 0, 14, -12, 0, 48, -76, 0, -12, 0, 0, -18, 184, 0, 0, 68, 0, 40, 170, 0, 533, 100, 0, -140, 0, 0, 52, -12, 0, 0, -40, 0, 158, 2, 0, 50, -54, 0, 40, 0, 0, 52, 74, 0, 0, 0, 0, -6, 56, 0, -18, 40, 0, 72, 0, 0, -22, 118, 0, 0, -112, 0, 32, -68, 0, -2, -23, 0, -130, 0, 0, -24, -36, 0, 0, 38, 0, -16, -22, 0, 161, -50, 0, -8, 0, 0, 52, -26, 0, 0, 152, 0, -112, -118, 0, -34, 74, 0, -110, 0, 0, 30, 96, 0, 0, 10, 0, -68, 280, 0, -176, -26, 0, 403, 0, 0, 102, -38, 0, 0, 15, 0, -68, 72, 0, -74, 88, 0, 48, 0, 0, 82, -184, 0, 0, 74, 0, 88, 136, 0, -172, 54, 0, -172, 0, 0, 40, -68, 0, 0, 144, 0, 6, 138, 0, -200, 296, 0, -100, 0, 0, -60, -15, 0, 0, 156, 0, -110, 36, 0, 28, -40, 0, -158, 0, 0, 44, -4, 0, 0, 322, 0, -108, -86, 0, 357, -172, 0, 236, 0, 0, -52, -72, 0, 0, -42, 0, -88, 244, 0, -296, 136, 0, -174, 0, 0, -168, -8, 0, 0, -46, 0, 86, -110, 0, -204, 181, 0, 88, 0, 0, -64, 48, 0, 0, -96, 0, 36, 206, 0, -20, -20, 0, 46, 0, 0, 108, -36, 0, 0, -218, 0, 56, -262, 0, 80, 38, 0, -66, 0, 0, -16, -56, 0, 0, -150, 0, 116, 136, 0, -334, 56, 0, -260, 0, 0, 180, -134, 0, 0, 214, 0, -20, -48, 0, 14, -50, 0, 232, 0, 0, -100, 232, 0, 0, -36, 0, 48, 14, 0, 210, -12, 0, 12, 0, 0, -12, -18, 0, 0, 132, 0, 20, 148, 0, -4, 194, 0, 393, 0, 0, -90, -30, 0, 0, 0, 0, 104, 20, 0, 160, -98, 0, 104, 0, 0, -168, -134, 0, 0, 0, 0, 140, -148, 0, 42, -75, 0, 238, 0, 0, -102, 6, 0, 0, -84, 0, -22, -12, 0, 42, -100, 0, 157, 0, 0, 256, 74, 0, 0, 0, 0, -238, -44, 0, -46, 2, 0, -494, 0, 0, -8, -58, 0, 0, -224, 0, 94, -158, 0, -184, 102, 0, -84, 0, 0, -174, -34, 0, 0, 100, 0, -96, 130, 0, -150, 180, 0, -62, 0, 0, -80, -199, 0, 0, 18, 0, -90, 218, 0, -218, -82, 0, 96, 0, 0, -9, -92, 0, 0, 86, 0, -56, -210, 0, -146, 128, 0, 64, 0, 0, -70, 68, 0, 0, -106, 0, 184, 170, 0, -32, -56, 0, 222, 0, 0, -24, 106, 0, 0, 190, 0, 190, 24, 0, -42, -200, 0, -342, 0, 0, 62, 268, 0, 0, 4, 0, -72, 112, 0, 192, -182, 0, 80, 0, 0, 96, -34, 0, 0, 322, 0, -186, 54, 0, -88, -220, 0, -192, 0, 0, -96, -304, 0, 0, 380, 0, 20, 36, 0, 511, -132, 0, 100, 0, 0, 80, -178, 0, 0, 94, 0, 84, 122, 0, 56, 38, 0, -216, 0, 0, 34, 242, 0, 0, 178, 0, 6, -188, 0, -2, -34, 0, 0, 0, 0, -10, -4, 0, 0, 96, 0, -94, -46, 0, -418, 135, 0, 98, 0, 0, -174, 112, 0, 0, 60, 0, -20, 256, 0, -364, -84, 0, 206, 0, 0, -154, 102, 0, 0, -336, 0, -4, -132, 0, 214, 596, 0, -96, 0, 0, -154, 50, 0, 0, -56, 0, 2, 120, 0, -144, 36, 0, -174, 0, 0, 170, 268, 0, 0, 606, 0, 198, 190, 0, 126, -164, 0, 317, 0, 0, 38, 182, 0, 0, -152, 0, -68, -272, 0, -416, -78, 0, 330, 0, 0, -14, -50, 0, 0, -16, 0, 230, 122, 0, 278, -228, 0, -26, 0, 0, 76, 94, 0, 0, -248, 0, -116, -136, 0, -172, 188, 0, 146, 0, 0, 310, 6, 0, 0, 460, 0, 98, 216, 0, 239, 26, 0, -196, 0, 0, 100, -126, 0, 0, 12, 0, 138, -120, 0, -12, 132, 0, -126, 0, 0, 64, -140, 0, 0, -216, 0, -148, -74, 0, 124, 274, 0, 912, 0, 0, 46, -176, 0, 0, -254, 0, 40, 296, 0, -326, 246, 0, -346, 0, 0, 220, -166, 0, 0, 332, 0, 106, -168, 0, 110, -402, 0, -122, 0, 0, -88, 284, 0, 0, 6, 0, 114, -358, 0, 702, -94, 0, 58, 0, 0, 46, -182, 0, 0, -280, 0, -246, -206, 0, 308, 374, 0, -184, 0, 0, -84, 76, 0, 0, -142, 0, 24, -128, 0, -112, 182, 0, 22, 0, 0, 344, 184, 0, 0, -424, 0, -252, 304, 0, -7, -38, 0, -274, 0, 0, -116, -83, 0, 0, -36, 0, -184, -432, 0, 134, 38, 0, 10, 0, 0, -108, -222, 0, 0, 328, 0, -200, 88, 0, -190, -56, 0, -278, 0, 0, -142, -360, 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: 1385985
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 40, 'source_is_minimal': False, 'source_label': '8325.2.a.bn', 'source_level': 8325, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 11, 'target_is_minimal': True, 'target_label': '2775.2.a.k', 'target_level': 2775, 'twist_class_label': '2775.2.a.k', 'twist_class_level': 2775, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1385986
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 40, 'source_is_minimal': False, 'source_label': '8325.2.a.bn', 'source_level': 8325, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 16, 'target_is_minimal': True, 'target_label': '2775.2.a.p', 'target_level': 2775, 'twist_class_label': '2775.2.a.k', 'twist_class_level': 2775, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1385987
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 40, 'source_is_minimal': False, 'source_label': '8325.2.a.bn', 'source_level': 8325, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 33, 'target_is_minimal': False, 'target_label': '8325.2.a.bg', 'target_level': 8325, 'twist_class_label': '2775.2.a.k', 'twist_class_level': 2775, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1385988
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 40, 'source_is_minimal': False, 'source_label': '8325.2.a.bn', 'source_level': 8325, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 40, 'target_is_minimal': False, 'target_label': '8325.2.a.bn', 'target_level': 8325, 'twist_class_label': '2775.2.a.k', 'twist_class_level': 2775, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4598100
    {'charpoly_factorization': [[[-1, -2, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 2}
  • id: 4598101
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 175640385501012101, 'p': 3}
  • id: 4598102
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 175640385501012101, 'p': 5}
  • id: 4598103
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 175640385501012101, 'p': 7}
  • id: 4598104
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 11}
  • id: 4598105
    {'charpoly_factorization': [[[-4, -4, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 13}
  • id: 4598106
    {'charpoly_factorization': [[[-28, 4, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 17}
  • id: 4598107
    {'charpoly_factorization': [[[-9, -6, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 19}
  • id: 4598108
    {'charpoly_factorization': [[[7, -6, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 23}
  • id: 4598109
    {'charpoly_factorization': [[[-4, -4, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 29}
  • id: 4598110
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 175640385501012101, 'p': 31}
  • id: 4598111
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 175640385501012101, 'p': 37}
  • id: 4598112
    {'charpoly_factorization': [[[-7, -10, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 41}
  • id: 4598113
    {'charpoly_factorization': [[[-9, 6, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 43}
  • id: 4598114
    {'charpoly_factorization': [[[28, -12, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 47}
  • id: 4598115
    {'charpoly_factorization': [[[-23, -6, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 53}
  • id: 4598116
    {'charpoly_factorization': [[[79, 18, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 59}
  • id: 4598117
    {'charpoly_factorization': [[[12, 1], 2]], 'hecke_orbit_code': 175640385501012101, 'p': 61}
  • id: 4598118
    {'charpoly_factorization': [[[-28, -4, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 67}
  • id: 4598119
    {'charpoly_factorization': [[[-112, 8, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 71}
  • id: 4598120
    {'charpoly_factorization': [[[-63, -6, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 73}
  • id: 4598121
    {'charpoly_factorization': [[[-25, -10, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 79}
  • id: 4598122
    {'charpoly_factorization': [[[-16, -8, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 83}
  • id: 4598123
    {'charpoly_factorization': [[[92, -20, 1], 1]], 'hecke_orbit_code': 175640385501012101, 'p': 89}
  • id: 4598124
    {'charpoly_factorization': [[[-72, 0, 1], 1]], 'hecke_orbit_code': 175640385501012101, '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': 40, 'label': '8325.2.a.bn', 'level': 8325, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 70485319
    {'hecke_orbit_code': 175640385501012101, 'n': 1, 'trace_an': 2}
  • id: 70485320
    {'hecke_orbit_code': 175640385501012101, 'n': 2, 'trace_an': 2}
  • id: 70485321
    {'hecke_orbit_code': 175640385501012101, 'n': 3, 'trace_an': 0}
  • id: 70485322
    {'hecke_orbit_code': 175640385501012101, 'n': 4, 'trace_an': 2}
  • id: 70485323
    {'hecke_orbit_code': 175640385501012101, 'n': 5, 'trace_an': 0}
  • id: 70485324
    {'hecke_orbit_code': 175640385501012101, 'n': 6, 'trace_an': 0}
  • id: 70485325
    {'hecke_orbit_code': 175640385501012101, 'n': 7, 'trace_an': -4}
  • id: 70485326
    {'hecke_orbit_code': 175640385501012101, 'n': 8, 'trace_an': 6}
  • id: 70485327
    {'hecke_orbit_code': 175640385501012101, 'n': 9, 'trace_an': 0}
  • id: 70485328
    {'hecke_orbit_code': 175640385501012101, 'n': 10, 'trace_an': 0}
  • id: 70485329
    {'hecke_orbit_code': 175640385501012101, 'n': 11, 'trace_an': 0}
  • id: 70485330
    {'hecke_orbit_code': 175640385501012101, 'n': 12, 'trace_an': 0}
  • id: 70485331
    {'hecke_orbit_code': 175640385501012101, 'n': 13, 'trace_an': 4}
  • id: 70485332
    {'hecke_orbit_code': 175640385501012101, 'n': 14, 'trace_an': -4}
  • id: 70485333
    {'hecke_orbit_code': 175640385501012101, 'n': 15, 'trace_an': 0}
  • id: 70485334
    {'hecke_orbit_code': 175640385501012101, 'n': 16, 'trace_an': 6}
  • id: 70485335
    {'hecke_orbit_code': 175640385501012101, 'n': 17, 'trace_an': -4}
  • id: 70485336
    {'hecke_orbit_code': 175640385501012101, 'n': 18, 'trace_an': 0}
  • id: 70485337
    {'hecke_orbit_code': 175640385501012101, 'n': 19, 'trace_an': 6}
  • id: 70485338
    {'hecke_orbit_code': 175640385501012101, 'n': 20, 'trace_an': 0}
  • id: 70485339
    {'hecke_orbit_code': 175640385501012101, 'n': 21, 'trace_an': 0}
  • id: 70485340
    {'hecke_orbit_code': 175640385501012101, 'n': 22, 'trace_an': -8}
  • id: 70485341
    {'hecke_orbit_code': 175640385501012101, 'n': 23, 'trace_an': 6}
  • id: 70485342
    {'hecke_orbit_code': 175640385501012101, 'n': 24, 'trace_an': 0}
  • id: 70485343
    {'hecke_orbit_code': 175640385501012101, 'n': 25, 'trace_an': 0}
  • id: 70485344
    {'hecke_orbit_code': 175640385501012101, 'n': 26, 'trace_an': 12}
  • id: 70485345
    {'hecke_orbit_code': 175640385501012101, 'n': 27, 'trace_an': 0}
  • id: 70485346
    {'hecke_orbit_code': 175640385501012101, 'n': 28, 'trace_an': -4}
  • id: 70485347
    {'hecke_orbit_code': 175640385501012101, 'n': 29, 'trace_an': 4}
  • id: 70485348
    {'hecke_orbit_code': 175640385501012101, 'n': 30, 'trace_an': 0}
  • id: 70485349
    {'hecke_orbit_code': 175640385501012101, 'n': 31, 'trace_an': 12}
  • id: 70485350
    {'hecke_orbit_code': 175640385501012101, 'n': 32, 'trace_an': -6}
  • id: 70485351
    {'hecke_orbit_code': 175640385501012101, 'n': 33, 'trace_an': 0}
  • id: 70485352
    {'hecke_orbit_code': 175640385501012101, 'n': 34, 'trace_an': 12}
  • id: 70485353
    {'hecke_orbit_code': 175640385501012101, 'n': 35, 'trace_an': 0}
  • id: 70485354
    {'hecke_orbit_code': 175640385501012101, 'n': 36, 'trace_an': 0}
  • id: 70485355
    {'hecke_orbit_code': 175640385501012101, 'n': 37, 'trace_an': -2}
  • id: 70485356
    {'hecke_orbit_code': 175640385501012101, 'n': 38, 'trace_an': -6}
  • id: 70485357
    {'hecke_orbit_code': 175640385501012101, 'n': 39, 'trace_an': 0}
  • id: 70485358
    {'hecke_orbit_code': 175640385501012101, 'n': 40, 'trace_an': 0}
  • id: 70485359
    {'hecke_orbit_code': 175640385501012101, 'n': 41, 'trace_an': 10}
  • id: 70485360
    {'hecke_orbit_code': 175640385501012101, 'n': 42, 'trace_an': 0}
  • id: 70485361
    {'hecke_orbit_code': 175640385501012101, 'n': 43, 'trace_an': -6}
  • id: 70485362
    {'hecke_orbit_code': 175640385501012101, 'n': 44, 'trace_an': -16}
  • id: 70485363
    {'hecke_orbit_code': 175640385501012101, 'n': 45, 'trace_an': 0}
  • id: 70485364
    {'hecke_orbit_code': 175640385501012101, 'n': 46, 'trace_an': 10}
  • id: 70485365
    {'hecke_orbit_code': 175640385501012101, 'n': 47, 'trace_an': 12}
  • id: 70485366
    {'hecke_orbit_code': 175640385501012101, 'n': 48, 'trace_an': 0}
  • id: 70485367
    {'hecke_orbit_code': 175640385501012101, 'n': 49, 'trace_an': -6}
  • id: 70485368
    {'hecke_orbit_code': 175640385501012101, 'n': 50, 'trace_an': 0}
  • id: 70485369
    {'hecke_orbit_code': 175640385501012101, 'n': 51, 'trace_an': 0}
  • id: 70485370
    {'hecke_orbit_code': 175640385501012101, 'n': 52, 'trace_an': 20}
  • id: 70485371
    {'hecke_orbit_code': 175640385501012101, 'n': 53, 'trace_an': 6}
  • id: 70485372
    {'hecke_orbit_code': 175640385501012101, 'n': 54, 'trace_an': 0}
  • id: 70485373
    {'hecke_orbit_code': 175640385501012101, 'n': 55, 'trace_an': 0}
  • id: 70485374
    {'hecke_orbit_code': 175640385501012101, 'n': 56, 'trace_an': -12}
  • id: 70485375
    {'hecke_orbit_code': 175640385501012101, 'n': 57, 'trace_an': 0}
  • id: 70485376
    {'hecke_orbit_code': 175640385501012101, 'n': 58, 'trace_an': 12}
  • id: 70485377
    {'hecke_orbit_code': 175640385501012101, 'n': 59, 'trace_an': -18}
  • id: 70485378
    {'hecke_orbit_code': 175640385501012101, 'n': 60, 'trace_an': 0}
  • id: 70485379
    {'hecke_orbit_code': 175640385501012101, 'n': 61, 'trace_an': -24}
  • id: 70485380
    {'hecke_orbit_code': 175640385501012101, 'n': 62, 'trace_an': 12}
  • id: 70485381
    {'hecke_orbit_code': 175640385501012101, 'n': 63, 'trace_an': 0}
  • id: 70485382
    {'hecke_orbit_code': 175640385501012101, 'n': 64, 'trace_an': -14}
  • id: 70485383
    {'hecke_orbit_code': 175640385501012101, 'n': 65, 'trace_an': 0}
  • id: 70485384
    {'hecke_orbit_code': 175640385501012101, 'n': 66, 'trace_an': 0}
  • id: 70485385
    {'hecke_orbit_code': 175640385501012101, 'n': 67, 'trace_an': 4}
  • id: 70485386
    {'hecke_orbit_code': 175640385501012101, 'n': 68, 'trace_an': 28}
  • id: 70485387
    {'hecke_orbit_code': 175640385501012101, 'n': 69, 'trace_an': 0}
  • id: 70485388
    {'hecke_orbit_code': 175640385501012101, 'n': 70, 'trace_an': 0}
  • id: 70485389
    {'hecke_orbit_code': 175640385501012101, 'n': 71, 'trace_an': -8}
  • id: 70485390
    {'hecke_orbit_code': 175640385501012101, 'n': 72, 'trace_an': 0}
  • id: 70485391
    {'hecke_orbit_code': 175640385501012101, 'n': 73, 'trace_an': 6}
  • id: 70485392
    {'hecke_orbit_code': 175640385501012101, 'n': 74, 'trace_an': -2}
  • id: 70485393
    {'hecke_orbit_code': 175640385501012101, 'n': 75, 'trace_an': 0}
  • id: 70485394
    {'hecke_orbit_code': 175640385501012101, 'n': 76, 'trace_an': -18}
  • id: 70485395
    {'hecke_orbit_code': 175640385501012101, 'n': 77, 'trace_an': 0}
  • id: 70485396
    {'hecke_orbit_code': 175640385501012101, 'n': 78, 'trace_an': 0}
  • id: 70485397
    {'hecke_orbit_code': 175640385501012101, 'n': 79, 'trace_an': 10}
  • id: 70485398
    {'hecke_orbit_code': 175640385501012101, 'n': 80, 'trace_an': 0}
  • id: 70485399
    {'hecke_orbit_code': 175640385501012101, 'n': 81, 'trace_an': 0}
  • id: 70485400
    {'hecke_orbit_code': 175640385501012101, 'n': 82, 'trace_an': -6}
  • id: 70485401
    {'hecke_orbit_code': 175640385501012101, 'n': 83, 'trace_an': 8}
  • id: 70485402
    {'hecke_orbit_code': 175640385501012101, 'n': 84, 'trace_an': 0}
  • id: 70485403
    {'hecke_orbit_code': 175640385501012101, 'n': 85, 'trace_an': 0}
  • id: 70485404
    {'hecke_orbit_code': 175640385501012101, 'n': 86, 'trace_an': 6}
  • id: 70485405
    {'hecke_orbit_code': 175640385501012101, 'n': 87, 'trace_an': 0}
  • id: 70485406
    {'hecke_orbit_code': 175640385501012101, 'n': 88, 'trace_an': -8}
  • id: 70485407
    {'hecke_orbit_code': 175640385501012101, 'n': 89, 'trace_an': 20}
  • id: 70485408
    {'hecke_orbit_code': 175640385501012101, 'n': 90, 'trace_an': 0}
  • id: 70485409
    {'hecke_orbit_code': 175640385501012101, 'n': 91, 'trace_an': -8}
  • id: 70485410
    {'hecke_orbit_code': 175640385501012101, 'n': 92, 'trace_an': 14}
  • id: 70485411
    {'hecke_orbit_code': 175640385501012101, 'n': 93, 'trace_an': 0}
  • id: 70485412
    {'hecke_orbit_code': 175640385501012101, 'n': 94, 'trace_an': 20}
  • id: 70485413
    {'hecke_orbit_code': 175640385501012101, 'n': 95, 'trace_an': 0}
  • id: 70485414
    {'hecke_orbit_code': 175640385501012101, 'n': 96, 'trace_an': 0}
  • id: 70485415
    {'hecke_orbit_code': 175640385501012101, 'n': 97, 'trace_an': 0}
  • id: 70485416
    {'hecke_orbit_code': 175640385501012101, 'n': 98, 'trace_an': -6}
  • id: 70485417
    {'hecke_orbit_code': 175640385501012101, 'n': 99, 'trace_an': 0}
  • id: 70485418
    {'hecke_orbit_code': 175640385501012101, 'n': 100, 'trace_an': 0}