Newform data - 5408.2.a.k

Formats: - HTML - YAML - JSON - 2024-12-08T08:35:54.350289

• 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': 21632, 'analytic_conductor': 43.183097413108435, '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': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [5408, 1, [2367, 677, 1185], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [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': [[3, [-2, 1]], [5, [-1, 1]], [7, [0, 1]], [37, [-5, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45035996307264800, 'hecke_ring_generator_nbound': 1, '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': '5408.2.a.k', 'level': 5408, 'level_is_powerful': True, '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': '416.2.i.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2q^{3}+q^{5}+q^{9}+4q^{11}+2q^{15}+\\cdots', 'related_objects': ['EllipticCurve/Q/5408/k'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '5408.2.a', 'trace_display': [0, 2, 1, 0], 'trace_hash': 1922016194208948854, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.013', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.975', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.914', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.712', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.013', 'prec': 17}, 'traces': [1, 0, 2, 0, 1, 0, 0, 0, 1, 0, 4, 0, 0, 0, 2, 0, 3, 0, -2, 0, 0, 0, 2, 0, -4, 0, -4, 0, 5, 0, 2, 0, 8, 0, 0, 0, 5, 0, 0, 0, 3, 0, -4, 0, 1, 0, 6, 0, -7, 0, 6, 0, 13, 0, 4, 0, -4, 0, 12, 0, -7, 0, 0, 0, 0, 0, -14, 0, 4, 0, 6, 0, 7, 0, -8, 0, 0, 0, 8, 0, -11, 0, 4, 0, 3, 0, 10, 0, 14, 0, 0, 0, 4, 0, -2, 0, -2, 0, 4, 0, -11, 0, 14, 0, 0, 0, 6, 0, -10, 0, 10, 0, -9, 0, 2, 0, 0, 0, 0, 0, 5, 0, 6, 0, -9, 0, -22, 0, -8, 0, -18, 0, 0, 0, -4, 0, -1, 0, -16, 0, 12, 0, 0, 0, 5, 0, -14, 0, 21, 0, 22, 0, 3, 0, 2, 0, 5, 0, 26, 0, 0, 0, 16, 0, 8, 0, -4, 0, 0, 0, -2, 0, -2, 0, 0, 0, 24, 0, 16, 0, 5, 0, -14, 0, 5, 0, 12, 0, 0, 0, 6, 0, -21, 0, 0, 0, -18, 0, -14, 0, -28, 0, 0, 0, 3, 0, 2, 0, -8, 0, 18, 0, 12, 0, -4, 0, 0, 0, 14, 0, 0, 0, 18, 0, -4, 0, 18, 0, -18, 0, 0, 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0, 28, 0, 0, 0, -66, 0, 10, 0, 63, 0, 4, 0, 24, 0, 0, 0, 116, 0, 110, 0, -10, 0, 24, 0, -34, 0, 52, 0, 0, 0, -92, 0, 36, 0, 44, 0, 12, 0, -42, 0, -65, 0, 0, 0, 5, 0, -12, 0, -76, 0, 60, 0, 6, 0, 0, 0, 0, 0, -70, 0, -3, 0, -20, 0, -17, 0, 84, 0, -27, 0, 0, 0, 12, 0, -42, 0, -44, 0, 20, 0, 0, 0, -18, 0, 0, 0, 58, 0, 56, 0, -54, 0, -29, 0, 42, 0, -24, 0, -84, 0, 96, 0, -42, 0, 54, 0, 0, 0, -76, 0, -24, 0, 0, 0, -6, 0, -63, 0, 18, 0, 36, 0, 52, 0, -103, 0, 0, 0, -44, 0, 40, 0, 0, 0, -8, 0, -55, 0, -34, 0, 0, 0, 16, 0, 112, 0, -58, 0, -6, 0, 40, 0, -4, 0, 0, 0, 36, 0, 0, 0, 38, 0, -36, 0, -7, 0, 56, 0, 0, 0, 32, 0, -1, 0, -16, 0, 103, 0, -58, 0, -4, 0, 0, 0, 0, 0, -8, 0, 48, 0, -10, 0, -28, 0, 70, 0, 49, 0, -110, 0, 21, 0, -30, 0, -55, 0, -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], [2], [0], [1], [0], [0], [0], [1], [0], [4], [0], [0], [0], [2], [0], [3], [0], [-2], [0], [0], [0], [2], [0], [-4], [0], [-4], [0], [5], [0], [2], [0], [8], [0], [0], [0], [5], [0], [0], [0], [3], [0], [-4], [0], [1], [0], [6], [0], [-7], [0], [6], [0], [13], [0], [4], [0], [-4], [0], [12], [0], [-7], [0], [0], [0], [0], [0], [-14], [0], [4], [0], [6], [0], [7], [0], [-8], [0], [0], [0], [8], [0], [-11], [0], [4], [0], [3], [0], [10], [0], [14], [0], [0], [0], [4], [0], [-2], [0], [-2], [0], [4], [0]], 'ap': [[0], [2], [1], [0], [4], [0], [3], [-2], [2], [5], [2], [5], [3], [-4], [6], [13], [12], [-7], [-14], [6], [7], [8], [4], [14], [-2], [-11], [14], [6], [-10], [-9], [-22], [-18], [-1], [-16], [21], [22], [5], [16], [-4], [-2], [16], [5], [6], [-21], [-18], [-14], [18], [18], [18], [-18], [6], [-12], [7], [-22], [11], [24], [14], [12], [1], [-21], [-20], [-19], [26], [10], [-34], [-3], [-8], [-1], [10], [-10], [3], [20], [-22], [-3], [2], [4], [33], [-34], [-33], [-9], [14], [9], [-12], [-1], [8], [-4], [-10], [-25], [21], [-20], [24], [6], [32], [-16], [-14], [-28], [-3], [-25], [16], [-23], [22], [-23], [24], [6], [-20], [-29], [16], [-1], [-30], [-9], [-34], [1], [-37], [-36], [20], [-17], [-4], [38], [14], [28], [13], [-5], [26], [-38], [20], [-10], [21], [-48], [-28], [1], [20], [-48], [-20], [38], [38], [38], [-6], [22], [30], [-25], [-2], [30], [52], [0], [-31], [-26], [-39], [-21], [50], [24], [41], [-29], [-58], [-56], [-16], [-32], [-30], [3], [55], [-46], [-38], [42], [-38], [18], [-17], [18], [-2], [-55], [18], [53], [34], [-3], [-2], [19], [-46], [-9], [2], [17], [0], [-34], [-34], [-4], [1], [-6], [-16], [29], [-42], [-26], [19], [-60], [39], [-10], [24], [-18], [-8], [-2], [-33], [-51], [11], [38], [-15], [-30], [-63], [-37], [-2], [57], [-20], [-16], [-21], [28], [3], [14], [-46], [-10], [66], [-49], [62], [15], [48], [2], [-39], [70], [55], [-8], [16], [29], [-9], [-16], [18], [-44], [-11], [-44], [-22], [15], [6], [30], [-30], [-51], [54], [12], [-26], [-70], [28], [69], [51], [12], [-30], [-48], [4], [6], [-62], [-66], [-64], [59], [-42], [8], [62], [0], [-10], [-65], [32], [-12], [-23], [-27], [-33], [-2], [46], [39], [66], [-11], [13], [64], [51], [2], [-34], [14], [44], [9], [-53], [-58], [-16], [54], [-72], [-71], [32], [22], [15], [41], [44], [-81], [18], [-72], [-33], [26], [-46], [-3], [62], [13], [16], [38], [3], [45], [-60], [-36], [-30], [11], [-72], [-47], [-84], [-23], [40], [74], [43], [16], [-42], [67], [-26], [-86], [-2], [-17], [66], [30], [29], [56], [-82], [43], [-14], [80], [52], [-39], [1], [57], [66], [46], [-40], [58], [85], [34], [39], [-28], [94], [-21], [25], [-92], [54], [32], [-43], [36], [30], [6], [-8], [-2], [53], [58], [61], [71], [36], [-32], [-57], [18], [-71], [3], [30], [-88], [-16], [-26], [-10], [52], [19], [78], [70], [30], [73], [-22], [-55], [54], [-60], [14], [47], [51], [62], [55], [44], [-42], [84], [54], [0], [-74], [-66], [-22], [51], [73], [72], [20], [84], [62], [-56], [-58], [0], [9], [-34], [94], [20], [-33], [-39], [34], [-66], [63], [4], [52], [-65], [5], [60], [-70], [-17], [-27], [58], [42], [54], [-24], [-63], [-103], [-8], [-58], [38], [-7], [32], [103], [-58], [-50]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 45035996307264800, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '5408.2.a.k', 'level': 5408, 'maxp': 2999, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	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': [35, 42, 42, 36], 'Nk2': 21632, 'analytic_conductor': 43.183097413108435, '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': [5408, 1, [2367, 677, 1185], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 673, 'dim': 155, 'eis_dim': 111, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 7, 37], 'hecke_orbit_code': 33559840, 'hecke_orbit_dims': [1, 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, 2, 4, 4, 4, 4, 4, 6, 6, 6, 6, 9, 9, 9, 9, 12, 12], 'label': '5408.2.a', 'level': 5408, 'level_is_powerful': True, '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': 784, 'mf_new_dim': 155, 'num_forms': 47, 'plus_dim': 71, 'prim_orbit_index': 1, 'relative_dim': 155, 'sturm_bound': 1456, 'trace_bound': 21, 'trace_display': [0, 0, 2, 0], 'traces': [155, 0, 0, 0, 2, 0, 0, 0, 151, 0, 0, 0, 0, 0, 0, 0, -10, 0, 0, 0, -16, 0, 0, 0, 141, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 14, 0, 0, 0, 26, 0, 0, 0, 147, 0, 0, 0, 34, 0, 0, 0, 16, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -34, 0, 0, 0, 48, 0, 0, 0, 195, 0, 0, 0, 20, 0, 0, 0, 30, 0, 0, 0, 16, 0, 0, 0, 6, 0, 0, 0, 34, 0, 0, 0, 80, 0, 0, 0, -38, 0, 0, 0, 38, 0, 0, 0, 0, 0, 0, 0, 191, 0, 0, 0, 84, 0, 0, 0, 64, 0, 0, 0, -64, 0, 0, 0, 14, 0, 0, 0, -48, 0, 0, 0, -20, 0, 0, 0, -30, 0, 0, 0, 30, 0, 0, 0, -22, 0, 0, 0, 16, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -54, 0, 0, 0, 112, 0, 0, 0, -62, 0, 0, 0, -20, 0, 0, 0, -128, 0, 0, 0, -58, 0, 0, 0, 34, 0, 0, 0, 64, 0, 0, 0, -60, 0, 0, 0, -64, 0, 0, 0, -48, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 81, 0, 0, 0, -126, 0, 0, 0, -82, 0, 0, 0, 112, 0, 0, 0, -74, 0, 0, 0, 98, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 22, 0, 0, 0, 66, 0, 0, 0, -20, 0, 0, 0, 106, 0, 0, 0, 0, 0, 0, 0, 34, 0, 0, 0, -114, 0, 0, 0, 80, 0, 0, 0, 209, 0, 0, 0, 50, 0, 0, 0, 48, 0, 0, 0, -64, 0, 0, 0, -20, 0, 0, 0, -80, 0, 0, 0, 62, 0, 0, 0, 122, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 122, 0, 0, 0, 86, 0, 0, 0, 80, 0, 0, 0, 112, 0, 0, 0, -54, 0, 0, 0, -90, 0, 0, 0, 160, 0, 0, 0, 183, 0, 0, 0, -92, 0, 0, 0, 54, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -46, 0, 0, 0, -80, 0, 0, 0, 10, 0, 0, 0, -26, 0, 0, 0, 210, 0, 0, 0, 62, 0, 0, 0, 80, 0, 0, 0, 16, 0, 0, 0, 18, 0, 0, 0, -166, 0, 0, 0, 0, 0, 0, 0, -90, 0, 0, 0, -96, 0, 0, 0, -1, 0, 0, 0, 84, 0, 0, 0, -170, 0, 0, 0, 16, 0, 0, 0, 126, 0, 0, 0, 74, 0, 0, 0, -96, 0, 0, 0, 16, 0, 0, 0, -80, 0, 0, 0, 90, 0, 0, 0, 0, 0, 0, 0, 132, 0, 0, 0, -192, 0, 0, 0, 100, 0, 0, 0, -112, 0, 0, 0, 144, 0, 0, 0, -4, 0, 0, 0, -70, 0, 0, 0, -160, 0, 0, 0, 176, 0, 0, 0, -18, 0, 0, 0, -144, 0, 0, 0, 291, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 154, 0, 0, 0, 76, 0, 0, 0, -206, 0, 0, 0, 160, 0, 0, 0, 10, 0, 0, 0, -144, 0, 0, 0, 20, 0, 0, 0, -98, 0, 0, 0, -16, 0, 0, 0, -26, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 198, 0, 0, 0, -64, 0, 0, 0, -130, 0, 0, 0, -262, 0, 0, 0, -16, 0, 0, 0, 2, 0, 0, 0, -2, 0, 0, 0, 32, 0, 0, 0, 239, 0, 0, 0, -12, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, -218, 0, 0, 0, -416, 0, 0, 0, -48, 0, 0, 0, -86, 0, 0, 0, -58, 0, 0, 0, 18, 0, 0, 0, 144, 0, 0, 0, -272, 0, 0, 0, -10, 0, 0, 0, -278, 0, 0, 0, 48, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, -116, 0, 0, 0, -302, 0, 0, 0, 160, 0, 0, 0, 146, 0, 0, 0, -32, 0, 0, 0, -208, 0, 0, 0, -80, 0, 0, 0, -594, 0, 0, 0, 223, 0, 0, 0, 74, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 204, 0, 0, 0, 80, 0, 0, 0, 16, 0, 0, 0, -278, 0, 0, 0, 174, 0, 0, 0, 4, 0, 0, 0, -26, 0, 0, 0, 258, 0, 0, 0, 48, 0, 0, 0, -96, 0, 0, 0, -36, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, -446, 0, 0, 0, 230, 0, 0, 0, -48, 0, 0, 0, 62, 0, 0, 0, -176, 0, 0, 0, 96, 0, 0, 0, 210, 0, 0, 0, 208, 0, 0, 0, -118, 0, 0, 0, -122, 0, 0, 0, 64, 0, 0, 0, -59, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 2, 0, 0, 0, -114, 0, 0, 0, 272, 0, 0, 0, -68, 0, 0, 0, -208, 0, 0, 0, 30, 0, 0, 0, 10, 0, 0, 0, 182, 0, 0, 0, -64, 0, 0, 0, 240, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -148, 0, 0, 0, -164, 0, 0, 0, 282, 0, 0, 0, 224, 0, 0, 0, 240, 0, 0, 0, 16, 0, 0, 0, -66, 0, 0, 0, -90, 0, 0, 0, 304, 0, 0, 0, 78, 0, 0, 0, -166, 0, 0, 0, 496, 0, 0, 0, 0, 0, 0, 0, 126, 0, 0, 0, 352, 0, 0, 0, 315, 0, 0, 0, -452, 0, 0, 0, 160, 0, 0, 0, 48, 0, 0, 0, -170, 0, 0, 0, -142, 0, 0, 0, 76, 0, 0, 0, 48, 0, 0, 0, -64, 0, 0, 0, -94, 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: 1258412
    {'conductor': 13, 'degree': 2, 'multiplicity': 2, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '5408.2.a.k', 'source_level': 5408, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '416.2.i.a', 'target_level': 416, 'twist_class_label': '416.2.i.a', 'twist_class_level': 416, 'twisting_char_label': '13.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1258413
    {'conductor': 52, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '5408.2.a.k', 'source_level': 5408, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '416.2.i.b', 'target_level': 416, 'twist_class_label': '416.2.i.a', 'twist_class_level': 416, 'twisting_char_label': '52.j', 'twisting_char_orbit': 10, 'weight': 2}
  • id: 1258414
    {'conductor': 104, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '5408.2.a.k', 'source_level': 5408, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '832.2.i.b', 'target_level': 832, 'twist_class_label': '416.2.i.a', 'twist_class_level': 416, 'twisting_char_label': '104.n', 'twisting_char_orbit': 14, 'weight': 2}
  • id: 1258415
    {'conductor': 104, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '5408.2.a.k', 'source_level': 5408, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '832.2.i.h', 'target_level': 832, 'twist_class_label': '416.2.i.a', 'twist_class_level': 416, 'twisting_char_label': '104.r', 'twisting_char_orbit': 18, 'weight': 2}
  • id: 1258416
    {'conductor': 52, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '5408.2.a.k', 'source_level': 5408, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '5408.2.a.c', 'target_level': 5408, 'twist_class_label': '416.2.i.a', 'twist_class_level': 416, 'twisting_char_label': '52.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1258417
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '5408.2.a.k', 'source_level': 5408, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '5408.2.a.d', 'target_level': 5408, 'twist_class_label': '416.2.i.a', 'twist_class_level': 416, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1258418
    {'conductor': 13, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '5408.2.a.k', 'source_level': 5408, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '5408.2.a.j', 'target_level': 5408, 'twist_class_label': '416.2.i.a', 'twist_class_level': 416, 'twisting_char_label': '13.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1258419
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '5408.2.a.k', 'source_level': 5408, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '5408.2.a.k', 'target_level': 5408, 'twist_class_label': '416.2.i.a', 'twist_class_level': 416, '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: 3887975
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 2}
  • id: 3887976
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 3}
  • id: 3887977
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 5}
  • id: 3887978
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 7}
  • id: 3887979
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 11}
  • id: 3887980
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 13}
  • id: 3887981
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 17}
  • id: 3887982
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 19}
  • id: 3887983
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 23}
  • id: 3887984
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 29}
  • id: 3887985
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 31}
  • id: 3887986
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 37}
  • id: 3887987
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 41}
  • id: 3887988
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 43}
  • id: 3887989
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 47}
  • id: 3887990
    {'charpoly_factorization': [[[-13, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 53}
  • id: 3887991
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 59}
  • id: 3887992
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 61}
  • id: 3887993
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 67}
  • id: 3887994
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 71}
  • id: 3887995
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 73}
  • id: 3887996
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 79}
  • id: 3887997
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 83}
  • id: 3887998
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 45035996307264800, 'p': 89}
  • id: 3887999
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 45035996307264800, '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': 11, 'label': '5408.2.a.k', 'level': 5408, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 54610321
    {'hecke_orbit_code': 45035996307264800, 'n': 1, 'trace_an': 1}
  • id: 54610322
    {'hecke_orbit_code': 45035996307264800, 'n': 2, 'trace_an': 0}
  • id: 54610323
    {'hecke_orbit_code': 45035996307264800, 'n': 3, 'trace_an': 2}
  • id: 54610324
    {'hecke_orbit_code': 45035996307264800, 'n': 4, 'trace_an': 0}
  • id: 54610325
    {'hecke_orbit_code': 45035996307264800, 'n': 5, 'trace_an': 1}
  • id: 54610326
    {'hecke_orbit_code': 45035996307264800, 'n': 6, 'trace_an': 0}
  • id: 54610327
    {'hecke_orbit_code': 45035996307264800, 'n': 7, 'trace_an': 0}
  • id: 54610328
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  • id: 54610373
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  • id: 54610379
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  • id: 54610381
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  • id: 54610392
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  • id: 54610393
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  • id: 54610395
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  • id: 54610396
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  • id: 54610397
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  • id: 54610400
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  • id: 54610402
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  • id: 54610403
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  • id: 54610404
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  • id: 54610406
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  • id: 54610407
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  • id: 54610408
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  • id: 54610409
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  • id: 54610410
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  • id: 54610411
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  • id: 54610412
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  • id: 54610413
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  • id: 54610414
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  • id: 54610415
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  • id: 54610416
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  • id: 54610417
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  • id: 54610418
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  • id: 54610419
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  • id: 54610420
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  • id: 54610421
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  • id: 54610422
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  • id: 54610423
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  • id: 54610424
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  • id: 54610425
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  • id: 54610426
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  • id: 54610427
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  • id: 54610428
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  • id: 54610429
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  • id: 54610430
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  • id: 54610431
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  • id: 54610432
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  • id: 54610433
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  • id: 54610434
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  • id: 54610435
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  • id: 54610436
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  • id: 54610437
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  • id: 54610438
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  • id: 54610439
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  • id: 54610440
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  • id: 54610441
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  • id: 54610442
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  • id: 54610443
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  • id: 54610444
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  • id: 54610445
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  • id: 54610446
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  • id: 54610447
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  • id: 54610448
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  • id: 54610449
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  • id: 54610450
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  • id: 54610451
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  • id: 54610452
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  • id: 54610453
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  • id: 54610454
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  • id: 54610455
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  • id: 54610456
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  • id: 54610457
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  • id: 54610458
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  • id: 54610459
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  • id: 54610460
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  • id: 54610461
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  • id: 54610462
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  • id: 54610463
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  • id: 54610464
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  • id: 54610465
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  • id: 54610466
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  • id: 54610467
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  • id: 54610468
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  • id: 54610469
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  • id: 54610470
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  • id: 54610471
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  • id: 54610472
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  • id: 54610473
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  • id: 54610474
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  • id: 54610475
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  • id: 54610476
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  • id: 54610477
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  • id: 54610478
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  • id: 54610479
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  • id: 54610480
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  • id: 54610481
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  • id: 54610482
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  • id: 54610483
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  • id: 54610484
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  • id: 54610485
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  • id: 54610486
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  • id: 54610487
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  • id: 54610488
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  • id: 54610489
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  • id: 54610490
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  • id: 54610491
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  • id: 54610492
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  • id: 54610493
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  • id: 54610494
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  • id: 54610495
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  • id: 54610496
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  • id: 54610497
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  • id: 54610498
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  • id: 54610499
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  • id: 54610500
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  • id: 54610501
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  • id: 54610502
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  • id: 54610503
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  • id: 54610504
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  • id: 54610505
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  • id: 54610506
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  • id: 54610507
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  • id: 54610508
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  • id: 54610509
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  • id: 54610510
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  • id: 54610511
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  • id: 54610512
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  • id: 54610513
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  • id: 54610514
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  • id: 54610515
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  • id: 54610516
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  • id: 54610517
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  • id: 54610518
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  • id: 54610519
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  • id: 54610520
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  • id: 54610521
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  • id: 54610522
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  • id: 54610523
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  • id: 54610524
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  • id: 54610525
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  • id: 54610526
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  • id: 54610527
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  • id: 54610528
    {'hecke_orbit_code': 45035996307264800, 'n': 661, 'trace_an': 13}
  • id: 54610529
    {'hecke_orbit_code': 45035996307264800, 'n': 673, 'trace_an': -5}
  • id: 54610530
    {'hecke_orbit_code': 45035996307264800, 'n': 677, 'trace_an': 26}
  • id: 54610531
    {'hecke_orbit_code': 45035996307264800, 'n': 683, 'trace_an': -38}
  • id: 54610532
    {'hecke_orbit_code': 45035996307264800, 'n': 691, 'trace_an': 20}
  • id: 54610533
    {'hecke_orbit_code': 45035996307264800, 'n': 701, 'trace_an': -10}
  • id: 54610534
    {'hecke_orbit_code': 45035996307264800, 'n': 709, 'trace_an': 21}
  • id: 54610535
    {'hecke_orbit_code': 45035996307264800, 'n': 719, 'trace_an': -48}
  • id: 54610536
    {'hecke_orbit_code': 45035996307264800, 'n': 727, 'trace_an': -28}
  • id: 54610537
    {'hecke_orbit_code': 45035996307264800, 'n': 729, 'trace_an': 13}
  • id: 54610538
    {'hecke_orbit_code': 45035996307264800, 'n': 733, 'trace_an': 1}
  • id: 54610539
    {'hecke_orbit_code': 45035996307264800, 'n': 739, 'trace_an': 20}
  • id: 54610540
    {'hecke_orbit_code': 45035996307264800, 'n': 743, 'trace_an': -48}
  • id: 54610541
    {'hecke_orbit_code': 45035996307264800, 'n': 751, 'trace_an': -20}
  • id: 54610542
    {'hecke_orbit_code': 45035996307264800, 'n': 757, 'trace_an': 38}
  • id: 54610543
    {'hecke_orbit_code': 45035996307264800, 'n': 761, 'trace_an': 38}
  • id: 54610544
    {'hecke_orbit_code': 45035996307264800, 'n': 769, 'trace_an': 38}
  • id: 54610545
    {'hecke_orbit_code': 45035996307264800, 'n': 773, 'trace_an': -6}
  • id: 54610546
    {'hecke_orbit_code': 45035996307264800, 'n': 787, 'trace_an': 22}
  • id: 54610547
    {'hecke_orbit_code': 45035996307264800, 'n': 797, 'trace_an': 30}
  • id: 54610548
    {'hecke_orbit_code': 45035996307264800, 'n': 809, 'trace_an': -25}
  • id: 54610549
    {'hecke_orbit_code': 45035996307264800, 'n': 811, 'trace_an': -2}
  • id: 54610550
    {'hecke_orbit_code': 45035996307264800, 'n': 821, 'trace_an': 30}
  • id: 54610551
    {'hecke_orbit_code': 45035996307264800, 'n': 823, 'trace_an': 52}
  • id: 54610552
    {'hecke_orbit_code': 45035996307264800, 'n': 827, 'trace_an': 0}
  • id: 54610553
    {'hecke_orbit_code': 45035996307264800, 'n': 829, 'trace_an': -31}
  • id: 54610554
    {'hecke_orbit_code': 45035996307264800, 'n': 839, 'trace_an': -26}
  • id: 54610555
    {'hecke_orbit_code': 45035996307264800, 'n': 841, 'trace_an': -4}
  • id: 54610556
    {'hecke_orbit_code': 45035996307264800, 'n': 853, 'trace_an': -39}
  • id: 54610557
    {'hecke_orbit_code': 45035996307264800, 'n': 857, 'trace_an': -21}
  • id: 54610558
    {'hecke_orbit_code': 45035996307264800, 'n': 859, 'trace_an': 50}
  • id: 54610559
    {'hecke_orbit_code': 45035996307264800, 'n': 863, 'trace_an': 24}
  • id: 54610560
    {'hecke_orbit_code': 45035996307264800, 'n': 877, 'trace_an': 41}
  • id: 54610561
    {'hecke_orbit_code': 45035996307264800, 'n': 881, 'trace_an': -29}
  • id: 54610562
    {'hecke_orbit_code': 45035996307264800, 'n': 883, 'trace_an': -58}
  • id: 54610563
    {'hecke_orbit_code': 45035996307264800, 'n': 887, 'trace_an': -56}
  • id: 54610564
    {'hecke_orbit_code': 45035996307264800, 'n': 907, 'trace_an': -16}
  • id: 54610565
    {'hecke_orbit_code': 45035996307264800, 'n': 911, 'trace_an': -32}
  • id: 54610566
    {'hecke_orbit_code': 45035996307264800, 'n': 919, 'trace_an': -30}
  • id: 54610567
    {'hecke_orbit_code': 45035996307264800, 'n': 929, 'trace_an': 3}
  • id: 54610568
    {'hecke_orbit_code': 45035996307264800, 'n': 937, 'trace_an': 55}
  • id: 54610569
    {'hecke_orbit_code': 45035996307264800, 'n': 941, 'trace_an': -46}
  • id: 54610570
    {'hecke_orbit_code': 45035996307264800, 'n': 947, 'trace_an': -38}
  • id: 54610571
    {'hecke_orbit_code': 45035996307264800, 'n': 953, 'trace_an': 42}
  • id: 54610572
    {'hecke_orbit_code': 45035996307264800, 'n': 961, 'trace_an': -27}
  • id: 54610573
    {'hecke_orbit_code': 45035996307264800, 'n': 967, 'trace_an': -38}
  • id: 54610574
    {'hecke_orbit_code': 45035996307264800, 'n': 971, 'trace_an': 18}
  • id: 54610575
    {'hecke_orbit_code': 45035996307264800, 'n': 977, 'trace_an': -17}
  • id: 54610576
    {'hecke_orbit_code': 45035996307264800, 'n': 983, 'trace_an': 18}
  • id: 54610577
    {'hecke_orbit_code': 45035996307264800, 'n': 991, 'trace_an': -2}
  • id: 54610578
    {'hecke_orbit_code': 45035996307264800, 'n': 997, 'trace_an': -55}