Newform data - 4680.2.a.p

Formats: - HTML - YAML - JSON - 2025-12-19T04:37:38.187933

• 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': 18720, 'analytic_conductor': 37.36998814595922, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [5, -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': [4680, 1, [3511, 2341, 2081, 937, 1081], [1, 1, 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': [[7, [0, 1]], [11, [4, 1]], [17, [-2, 1]], [19, [4, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444116552, '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': '4680.2.a.p', 'level': 4680, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 13], 'level_radical': 390, 'minimal_twist': '1560.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{5}-4q^{11}+q^{13}+2q^{17}-4q^{19}+\\cdots', 'related_objects': ['EllipticCurve/Q/4680/p'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4680.2.a', 'trace_display': [0, 0, 1, 0], 'trace_hash': 118623954949589334, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.056', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.193', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.708', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.018', 'prec': 17}, 'traces': [1, 0, 0, 0, 1, 0, 0, 0, 0, 0, -4, 0, 1, 0, 0, 0, 2, 0, -4, 0, 0, 0, -4, 0, 1, 0, 0, 0, 6, 0, -4, 0, 0, 0, 0, 0, 6, 0, 0, 0, 2, 0, 12, 0, 0, 0, -8, 0, -7, 0, 0, 0, -14, 0, -4, 0, 0, 0, -12, 0, -2, 0, 0, 0, 1, 0, 0, 0, 0, 0, -8, 0, -2, 0, 0, 0, 0, 0, 8, 0, 0, 0, -12, 0, 2, 0, 0, 0, -6, 0, 0, 0, 0, 0, -4, 0, -10, 0, 0, 0, -10, 0, 8, 0, 0, 0, 4, 0, 2, 0, 0, 0, 2, 0, -4, 0, 0, 0, 0, 0, 5, 0, 0, 0, 1, 0, 8, 0, 0, 0, 8, 0, 0, 0, 0, 0, 10, 0, -4, 0, 0, 0, -4, 0, 6, 0, 0, 0, 6, 0, -4, 0, 0, 0, -4, 0, -18, 0, 0, 0, 0, 0, -8, 0, 0, 0, -8, 0, 1, 0, 0, 0, -14, 0, 0, 0, 0, 0, -16, 0, -2, 0, 0, 0, 6, 0, -8, 0, 0, 0, -24, 0, 22, 0, 0, 0, -26, 0, -24, 0, 0, 0, 0, 0, 2, 0, 0, 0, 16, 0, 20, 0, 0, 0, 12, 0, 0, 0, 0, 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0, 18, 0, -16, 0, 0, 0, -44, 0, 0, 0, 0, 0, 54, 0, -16, 0, 0, 0, 56, 0, -66, 0, 0, 0, -32, 0, 48, 0, 0, 0, -64, 0, -60, 0, 0, 0, 0, 0, -28, 0, 0, 0, 24, 0, -28, 0, 0, 0, 16, 0, 0, 0, 0, 0, -12, 0, -26, 0, 0, 0, -10, 0, -56, 0, 0, 0, -28, 0, 18, 0, 0, 0, 26, 0, -76, 0, 0, 0, 0, 0, 10, 0, 0, 0, -112, 0, 72, 0, 0, 0, 48, 0, 14, 0, 0, 0, -4, 0, -24, 0, 0, 0, 48, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1], [0], [0], [0], [1], [0], [0], [0], [0], [0], [-4], [0], [1], [0], [0], [0], [2], [0], [-4], [0], [0], [0], [-4], [0], [1], [0], [0], [0], [6], [0], [-4], [0], [0], [0], [0], [0], [6], [0], [0], [0], [2], [0], [12], [0], [0], [0], [-8], [0], [-7], [0], [0], [0], [-14], [0], [-4], [0], [0], [0], [-12], [0], [-2], [0], [0], [0], [1], [0], [0], [0], [0], [0], [-8], [0], [-2], [0], [0], [0], [0], [0], [8], [0], [0], [0], [-12], [0], [2], [0], [0], [0], [-6], [0], [0], [0], [0], [0], [-4], [0], [-10], [0], [0], [0]], 'ap': [[0], [0], [1], [0], [-4], [1], [2], [-4], [-4], [6], [-4], [6], [2], [12], [-8], [-14], [-12], [-2], [0], [-8], [-2], [8], [-12], [-6], [-10], [-10], [8], [4], [2], [2], [8], [8], [10], [-4], [6], [-4], [-18], [-8], [-8], [-14], [-16], [-2], [-24], [22], [-26], [-24], [20], [-16], [-12], [10], [18], [24], [-22], [0], [18], [12], [14], [28], [-10], [2], [4], [-18], [-8], [16], [18], [-18], [-20], [-6], [-12], [10], [-30], [16], [-8], [6], [-36], [0], [30], [-18], [2], [10], [-8], [34], [0], [-38], [24], [28], [34], [14], [-18], [-16], [-12], [-8], [-32], [-24], [28], [-4], [30], [-10], [-20], [10], [-44], [-26], [36], [-10], [-4], [-26], [-28], [18], [-24], [-38], [24], [22], [-6], [12], [20], [30], [16], [12], [-6], [32], [26], [50], [10], [36], [20], [-26], [10], [0], [24], [22], [-12], [16], [0], [-26], [2], [34], [-18], [-16], [-38], [46], [-12], [6], [8], [-12], [-2], [16], [38], [42], [-20], [32], [22], [-50], [-44], [44], [-12], [48], [40], [-6], [26], [30], [-12], [-14], [48], [32], [-46], [32], [32], [38], [42], [-22], [-28], [-22], [-40], [-26], [8], [30], [4], [54], [32], [-42], [-8], [-24], [22], [10], [-48], [38], [-34], [8], [26], [-16], [2], [-28], [-20], [30], [-12], [-6], [-22], [-34], [18], [52], [46], [8], [-10], [-14], [-12], [18], [-4], [36], [-38], [-28], [-70], [38], [48], [-60], [8], [-6], [-8], [54], [-32], [6], [-18], [44], [34], [-8], [-4], [62], [-22], [40], [-56], [36], [-50], [28], [20], [46], [-44], [-72], [34], [-2], [-24], [40], [52], [4], [32], [-46], [-14], [-48], [16], [20], [-12], [12], [-58], [10], [-24], [10], [34], [-68], [-74], [8], [2], [-42], [16], [-12], [-70], [-66], [18], [-20], [-50], [-78], [32], [18], [6], [40], [6], [80], [34], [56], [-20], [34], [-78], [-24], [60], [60], [-28], [2], [-80], [-40], [-70], [-82], [-44], [-26], [-82], [-76], [-54], [12], [-50], [22], [-32], [26], [24], [80], [34], [-66], [56], [12], [68], [-34], [84], [38], [16], [6], [60], [-10], [-66], [44], [0], [-38], [-12], [-8], [-42], [30], [-4], [22], [54], [-8], [42], [82], [-20], [40], [36], [-6], [-38], [-86], [64], [-92], [-60], [-28], [-62], [-94], [26], [16], [-82], [42], [-26], [-80], [-2], [-24], [6], [56], [-24], [26], [-68], [-90], [30], [-64], [46], [-78], [16], [92], [-54], [0], [62], [-10], [52], [-60], [20], [66], [-98], [32], [74], [-72], [-28], [48], [86], [0], [46], [-60], [48], [-90], [-42], [-30], [46], [-6], [88], [18], [-20], [88], [28], [-10], [-16], [-12], [26], [78], [-84], [-20], [-32], [-94], [-76], [-58], [92], [-10], [-94], [-54], [-48], [42], [-26], [-88], [6], [-62], [-32], [-84], [42], [66], [36], [-4], [26], [-50], [88], [-24], [18], [-44], [54], [-66], [-64], [24], [-26], [-10], [-28], [26], [-76], [48]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 67553994444116552, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '4680.2.a.p', 'level': 4680, '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': [3, 3, 4, 2, 5, 4, 4, 6, 4, 2, 3, 3, 4, 4, 4, 5], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], 'ALdims_old': [54, 61, 56, 62, 58, 57, 55, 55, 62, 56, 59, 55, 55, 57, 59, 56], 'Nk2': 18720, 'analytic_conductor': 37.36998814595922, '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': [4680, 1, [3511, 2341, 2081, 937, 1081], [1, 1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 977, 'dim': 60, 'eis_dim': 63, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 17, 19], 'hecke_orbit_code': 33559112, '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, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3], 'label': '4680.2.a', 'level': 4680, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 13], 'level_radical': 390, 'mf_dim': 1040, 'mf_new_dim': 60, 'num_forms': 38, 'plus_dim': 27, 'prim_orbit_index': 1, 'relative_dim': 60, 'sturm_bound': 2016, 'trace_bound': 19, 'trace_display': [0, 0, 2, 0], 'traces': [60, 0, 0, 0, 2, 0, 0, 0, 0, 0, 4, 0, -2, 0, 0, 0, -16, 0, -12, 0, 0, 0, 0, 0, 60, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -16, 0, -12, 0, 0, 0, 0, 0, 60, 0, 0, 0, 4, 0, 0, 0, 0, 0, -4, 0, 16, 0, 0, 0, 4, 0, -8, 0, 0, 0, 16, 0, 36, 0, 0, 0, -8, 0, 0, 0, 0, 0, -16, 0, -4, 0, 0, 0, -48, 0, 0, 0, 0, 0, -8, 0, 60, 0, 0, 0, -24, 0, 48, 0, 0, 0, 28, 0, -12, 0, 0, 0, -32, 0, 12, 0, 0, 0, -32, 0, 100, 0, 0, 0, 2, 0, -24, 0, 0, 0, 88, 0, -40, 0, 0, 0, -20, 0, -40, 0, 0, 0, 0, 0, -20, 0, 0, 0, 4, 0, 32, 0, 0, 0, -4, 0, 4, 0, 0, 0, -40, 0, 8, 0, 0, 0, 80, 0, 60, 0, 0, 0, 52, 0, 0, 0, 0, 0, 72, 0, -24, 0, 0, 0, -8, 0, -40, 0, 0, 0, 80, 0, 60, 0, 0, 0, 12, 0, 0, 0, 0, 0, 16, 0, 36, 0, 0, 0, -40, 0, -48, 0, 0, 0, 16, 0, 24, 0, 0, 0, 12, 0, 16, 0, 0, 0, -136, 0, 36, 0, 0, 0, 56, 0, 16, 0, 0, 0, -80, 0, 48, 0, 0, 0, -14, 0, 8, 0, 0, 0, 64, 0, -88, 0, 0, 0, -8, 0, 80, 0, 0, 0, -72, 0, -8, 0, 0, 0, -24, 0, -64, 0, 0, 0, 4, 0, 52, 0, 0, 0, 72, 0, -84, 0, 0, 0, 80, 0, 148, 0, 0, 0, 68, 0, -32, 0, 0, 0, -4, 0, -24, 0, 0, 0, 28, 0, 112, 0, 0, 0, 48, 0, 48, 0, 0, 0, 100, 0, -16, 0, 0, 0, 104, 0, -2, 0, 0, 0, 64, 0, -4, 0, 0, 0, 8, 0, 0, 0, 0, 0, 32, 0, 96, 0, 0, 0, -60, 0, 60, 0, 0, 0, 52, 0, 12, 0, 0, 0, -72, 0, 100, 0, 0, 0, 8, 0, -16, 0, 0, 0, 0, 0, 84, 0, 0, 0, 28, 0, -20, 0, 0, 0, 0, 0, -8, 0, 0, 0, 160, 0, -16, 0, 0, 0, -72, 0, -132, 0, 0, 0, -128, 0, 12, 0, 0, 0, 72, 0, -24, 0, 0, 0, 40, 0, 8, 0, 0, 0, 16, 0, -108, 0, 0, 0, -16, 0, 32, 0, 0, 0, -88, 0, -24, 0, 0, 0, 200, 0, 48, 0, 0, 0, 124, 0, 4, 0, 0, 0, -72, 0, -72, 0, 0, 0, 0, 0, 92, 0, 0, 0, 84, 0, 16, 0, 0, 0, -52, 0, 160, 0, 0, 0, -64, 0, -12, 0, 0, 0, 72, 0, -24, 0, 0, 0, -24, 0, -16, 0, 0, 0, 16, 0, -144, 0, 0, 0, -88, 0, -132, 0, 0, 0, 104, 0, -20, 0, 0, 0, 124, 0, 32, 0, 0, 0, -12, 0, -24, 0, 0, 0, -64, 0, -156, 0, 0, 0, -64, 0, -76, 0, 0, 0, 12, 0, -64, 0, 0, 0, -156, 0, -44, 0, 0, 0, -16, 0, -100, 0, 0, 0, -224, 0, -112, 0, 0, 0, -140, 0, 16, 0, 0, 0, 60, 0, 12, 0, 0, 0, -112, 0, 72, 0, 0, 0, 0, 0, -188, 0, 0, 0, 112, 0, -144, 0, 0, 0, 24, 0, -48, 0, 0, 0, 84, 0, -16, 0, 0, 0, 144, 0, -152, 0, 0, 0, 58, 0, -16, 0, 0, 0, -16, 0, -28, 0, 0, 0, -12, 0, 100, 0, 0, 0, -160, 0, 60, 0, 0, 0, 72, 0, 8, 0, 0, 0, -28, 0, -2, 0, 0, 0, -24, 0, 96, 0, 0, 0, -48, 0, 88, 0, 0, 0, -12, 0, -8, 0, 0, 0, -80, 0, -84, 0, 0, 0, -88, 0, 72, 0, 0, 0, -208, 0, -8, 0, 0, 0, 108, 0, 48, 0, 0, 0, -56, 0, 0, 0, 0, 0, 8, 0, -4, 0, 0, 0, 8, 0, 0, 0, 0, 0, 152, 0, 24, 0, 0, 0, -80, 0, 36, 0, 0, 0, -224, 0, 12, 0, 0, 0, -144, 0, -72, 0, 0, 0, -16, 0, -48, 0, 0, 0, -200, 0, -12, 0, 0, 0, -88, 0, -140, 0, 0, 0, -64, 0, 96, 0, 0, 0, 184, 0, 224, 0, 0, 0, -28, 0, -92, 0, 0, 0, 96, 0, 320, 0, 0, 0, -16, 0, 24, 0, 0, 0, 20, 0, 0, 0, 0, 0, -328, 0, -48, 0, 0, 0, 24, 0, 64, 0, 0, 0, 224, 0, -12, 0, 0, 0, -84, 0, 32, 0, 0, 0, 120, 0, 24, 0, 0, 0, 96, 0, 212, 0, 0, 0, 56, 0, 288, 0, 0, 0, 12, 0, 56, 0, 0, 0, -272, 0, 48, 0, 0, 0, -176, 0, -32, 0, 0, 0, 72, 0, -44, 0, 0, 0, 2, 0, 160, 0, 0, 0, 0, 0, -196, 0, 0, 0, 16, 0, -168, 0, 0, 0, -96, 0, -72, 0, 0, 0, -80, 0, -40, 0, 0, 0, 0, 0, -156, 0, 0, 0, -64, 0, -76, 0, 0, 0, 136, 0, -56, 0, 0, 0, -88, 0, -72, 0, 0, 0, -104, 0, -184, 0, 0, 0, 36, 0, -268, 0, 0, 0, 16, 0, -8, 0, 0, 0, 176, 0, -272, 0, 0, 0, -60, 0, 12, 0, 0, 0, 8, 0, 84, 0, 0, 0, 32, 0, -40, 0, 0, 0, 108, 0, 48, 0, 0, 0, -16, 0, -8, 0, 0, 0, -16, 0, 64, 0, 0, 0, -160, 0, 4, 0, 0, 0, -24, 0, 160, 0, 0, 0, -88, 0, -80, 0, 0, 0, -132, 0, -120, 0, 0, 0, 0, 0, -8, 0, 0, 0, -368, 0, -96, 0, 0, 0, -96, 0, 12, 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: 1218266
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '4680.2.a.p', 'source_level': 4680, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1560.2.a.b', 'target_level': 1560, 'twist_class_label': '1560.2.a.b', 'twist_class_level': 1560, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1218267
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '4680.2.a.p', 'source_level': 4680, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '3120.2.a.p', 'target_level': 3120, 'twist_class_label': '1560.2.a.b', 'twist_class_level': 1560, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1218268
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '4680.2.a.p', 'source_level': 4680, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '4680.2.a.p', 'target_level': 4680, 'twist_class_label': '1560.2.a.b', 'twist_class_level': 1560, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1218269
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '4680.2.a.p', 'source_level': 4680, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 21, 'target_is_minimal': False, 'target_label': '7800.2.a.u', 'target_level': 7800, 'twist_class_label': '1560.2.a.b', 'twist_class_level': 1560, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1218270
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '4680.2.a.p', 'source_level': 4680, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 43, 'target_is_minimal': False, 'target_label': '9360.2.a.bq', 'target_level': 9360, 'twist_class_label': '1560.2.a.b', 'twist_class_level': 1560, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3674050
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 2}
  • id: 3674051
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 3}
  • id: 3674052
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 5}
  • id: 3674053
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 7}
  • id: 3674054
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 11}
  • id: 3674055
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 13}
  • id: 3674056
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 17}
  • id: 3674057
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 19}
  • id: 3674058
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 23}
  • id: 3674059
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 29}
  • id: 3674060
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 31}
  • id: 3674061
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 37}
  • id: 3674062
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 41}
  • id: 3674063
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 43}
  • id: 3674064
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 47}
  • id: 3674065
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 53}
  • id: 3674066
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 59}
  • id: 3674067
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 61}
  • id: 3674068
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 67}
  • id: 3674069
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 71}
  • id: 3674070
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 73}
  • id: 3674071
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 79}
  • id: 3674072
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 83}
  • id: 3674073
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 67553994444116552, 'p': 89}
  • id: 3674074
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 67553994444116552, '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': '4680.2.a.p', 'level': 4680, '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: 60608821
    {'hecke_orbit_code': 67553994444116552, 'n': 1, 'trace_an': 1}
  • id: 60608822
    {'hecke_orbit_code': 67553994444116552, 'n': 2, 'trace_an': 0}
  • id: 60608823
    {'hecke_orbit_code': 67553994444116552, 'n': 3, 'trace_an': 0}
  • id: 60608824
    {'hecke_orbit_code': 67553994444116552, 'n': 4, 'trace_an': 0}
  • id: 60608825
    {'hecke_orbit_code': 67553994444116552, 'n': 5, 'trace_an': 1}
  • id: 60608826
    {'hecke_orbit_code': 67553994444116552, 'n': 6, 'trace_an': 0}
  • id: 60608827
    {'hecke_orbit_code': 67553994444116552, 'n': 7, 'trace_an': 0}
  • id: 60608828
    {'hecke_orbit_code': 67553994444116552, 'n': 8, 'trace_an': 0}
  • id: 60608829
    {'hecke_orbit_code': 67553994444116552, 'n': 9, 'trace_an': 0}
  • id: 60608830
    {'hecke_orbit_code': 67553994444116552, 'n': 10, 'trace_an': 0}
  • id: 60608831
    {'hecke_orbit_code': 67553994444116552, 'n': 11, 'trace_an': -4}
  • id: 60608832
    {'hecke_orbit_code': 67553994444116552, 'n': 12, 'trace_an': 0}
  • id: 60608833
    {'hecke_orbit_code': 67553994444116552, 'n': 13, 'trace_an': 1}
  • id: 60608834
    {'hecke_orbit_code': 67553994444116552, 'n': 14, 'trace_an': 0}
  • id: 60608835
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  • id: 60608836
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  • id: 60608837
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  • id: 60608838
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  • id: 60608839
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  • id: 60608840
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  • id: 60608841
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  • id: 60608842
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  • id: 60608843
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  • id: 60608844
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  • id: 60608845
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  • id: 60608846
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  • id: 60608847
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  • id: 60608848
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  • id: 60608849
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  • id: 60608850
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  • id: 60608851
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  • id: 60608852
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  • id: 60608853
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  • id: 60608854
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  • id: 60608855
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  • id: 60608856
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  • id: 60608857
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  • id: 60608858
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  • id: 60608859
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  • id: 60608860
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  • id: 60608861
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  • id: 60608862
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  • id: 60608863
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  • id: 60608864
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  • id: 60608865
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  • id: 60608866
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  • id: 60608867
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  • id: 60608868
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  • id: 60608869
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  • id: 60608870
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  • id: 60608871
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  • id: 60608872
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  • id: 60608873
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  • id: 60608874
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  • id: 60608875
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  • id: 60608876
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  • id: 60608877
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  • id: 60608878
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  • id: 60608879
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  • id: 60608880
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  • id: 60608881
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  • id: 60608882
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  • id: 60608883
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  • id: 60608884
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  • id: 60608885
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  • id: 60608886
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  • id: 60608887
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  • id: 60608888
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  • id: 60608889
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  • id: 60608890
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  • id: 60608891
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  • id: 60608892
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  • id: 60608893
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  • id: 60608894
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  • id: 60608895
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  • id: 60608896
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  • id: 60608897
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  • id: 60608898
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  • id: 60608899
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  • id: 60608900
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  • id: 60608901
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  • id: 60608902
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  • id: 60608903
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  • id: 60608904
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  • id: 60608905
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  • id: 60608906
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  • id: 60608907
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  • id: 60608908
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  • id: 60608909
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  • id: 60608910
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  • id: 60608911
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  • id: 60608912
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  • id: 60608913
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  • id: 60608914
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  • id: 60608915
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  • id: 60608916
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  • id: 60608917
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  • id: 60608918
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  • id: 60608919
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  • id: 60608920
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  • id: 60608921
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  • id: 60608922
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  • id: 60608923
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  • id: 60608924
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  • id: 60608925
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  • id: 60608926
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  • id: 60608927
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  • id: 60608928
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  • id: 60608929
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  • id: 60608930
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  • id: 60608931
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  • id: 60608932
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  • id: 60608933
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  • id: 60608934
    {'hecke_orbit_code': 67553994444116552, 'n': 151, 'trace_an': -4}
  • id: 60608935
    {'hecke_orbit_code': 67553994444116552, 'n': 157, 'trace_an': -18}
  • id: 60608936
    {'hecke_orbit_code': 67553994444116552, 'n': 163, 'trace_an': -8}
  • id: 60608937
    {'hecke_orbit_code': 67553994444116552, 'n': 167, 'trace_an': -8}
  • id: 60608938
    {'hecke_orbit_code': 67553994444116552, 'n': 169, 'trace_an': 1}
  • id: 60608939
    {'hecke_orbit_code': 67553994444116552, 'n': 173, 'trace_an': -14}
  • id: 60608940
    {'hecke_orbit_code': 67553994444116552, 'n': 179, 'trace_an': -16}
  • id: 60608941
    {'hecke_orbit_code': 67553994444116552, 'n': 181, 'trace_an': -2}
  • id: 60608942
    {'hecke_orbit_code': 67553994444116552, 'n': 191, 'trace_an': -24}
  • id: 60608943
    {'hecke_orbit_code': 67553994444116552, 'n': 193, 'trace_an': 22}
  • id: 60608944
    {'hecke_orbit_code': 67553994444116552, 'n': 197, 'trace_an': -26}
  • id: 60608945
    {'hecke_orbit_code': 67553994444116552, 'n': 199, 'trace_an': -24}
  • id: 60608946
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  • id: 60608947
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  • id: 60608948
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  • id: 60608949
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  • id: 60608950
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  • id: 60608951
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  • id: 60608952
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  • id: 60608953
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  • id: 60608954
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  • id: 60608955
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  • id: 60608956
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  • id: 60608957
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  • id: 60608958
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  • id: 60608959
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  • id: 60608960
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  • id: 60608961
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  • id: 60608962
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  • id: 60608963
    {'hecke_orbit_code': 67553994444116552, 'n': 289, 'trace_an': -13}
  • id: 60608964
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  • id: 60608965
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  • id: 60608966
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  • id: 60608967
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  • id: 60608968
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  • id: 60608969
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  • id: 60608970
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  • id: 60608971
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  • id: 60608972
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  • id: 60608973
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  • id: 60608974
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  • id: 60608975
    {'hecke_orbit_code': 67553994444116552, 'n': 359, 'trace_an': 16}
  • id: 60608976
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  • id: 60608977
    {'hecke_orbit_code': 67553994444116552, 'n': 367, 'trace_an': -8}
  • id: 60608978
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  • id: 60608979
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  • id: 60608980
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  • id: 60608981
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  • id: 60608982
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  • id: 60608983
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  • id: 60608984
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  • id: 60608985
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  • id: 60608986
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  • id: 60608987
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  • id: 60608988
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  • id: 60608989
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  • id: 60608990
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  • id: 60608991
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  • id: 60608992
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  • id: 60608993
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  • id: 60608994
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  • id: 60608995
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  • id: 60608996
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  • id: 60608997
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  • id: 60608998
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  • id: 60608999
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  • id: 60609000
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  • id: 60609001
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  • id: 60609002
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  • id: 60609003
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  • id: 60609004
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  • id: 60609005
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  • id: 60609006
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  • id: 60609007
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  • id: 60609008
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  • id: 60609009
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  • id: 60609010
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  • id: 60609011
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  • id: 60609012
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  • id: 60609013
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  • id: 60609014
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  • id: 60609015
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  • id: 60609016
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  • id: 60609017
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  • id: 60609018
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  • id: 60609019
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  • id: 60609020
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  • id: 60609021
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  • id: 60609022
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  • id: 60609023
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  • id: 60609024
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  • id: 60609025
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  • id: 60609026
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  • id: 60609027
    {'hecke_orbit_code': 67553994444116552, 'n': 659, 'trace_an': 32}
  • id: 60609028
    {'hecke_orbit_code': 67553994444116552, 'n': 661, 'trace_an': 26}
  • id: 60609029
    {'hecke_orbit_code': 67553994444116552, 'n': 673, 'trace_an': 50}
  • id: 60609030
    {'hecke_orbit_code': 67553994444116552, 'n': 677, 'trace_an': 10}
  • id: 60609031
    {'hecke_orbit_code': 67553994444116552, 'n': 683, 'trace_an': 36}
  • id: 60609032
    {'hecke_orbit_code': 67553994444116552, 'n': 691, 'trace_an': 20}
  • id: 60609033
    {'hecke_orbit_code': 67553994444116552, 'n': 701, 'trace_an': -26}
  • id: 60609034
    {'hecke_orbit_code': 67553994444116552, 'n': 709, 'trace_an': 10}
  • id: 60609035
    {'hecke_orbit_code': 67553994444116552, 'n': 719, 'trace_an': 0}
  • id: 60609036
    {'hecke_orbit_code': 67553994444116552, 'n': 727, 'trace_an': 24}
  • id: 60609037
    {'hecke_orbit_code': 67553994444116552, 'n': 729, 'trace_an': 0}
  • id: 60609038
    {'hecke_orbit_code': 67553994444116552, 'n': 733, 'trace_an': 22}
  • id: 60609039
    {'hecke_orbit_code': 67553994444116552, 'n': 739, 'trace_an': -12}
  • id: 60609040
    {'hecke_orbit_code': 67553994444116552, 'n': 743, 'trace_an': 16}
  • id: 60609041
    {'hecke_orbit_code': 67553994444116552, 'n': 751, 'trace_an': 0}
  • id: 60609042
    {'hecke_orbit_code': 67553994444116552, 'n': 757, 'trace_an': -26}
  • id: 60609043
    {'hecke_orbit_code': 67553994444116552, 'n': 761, 'trace_an': 2}
  • id: 60609044
    {'hecke_orbit_code': 67553994444116552, 'n': 769, 'trace_an': 34}
  • id: 60609045
    {'hecke_orbit_code': 67553994444116552, 'n': 773, 'trace_an': -18}
  • id: 60609046
    {'hecke_orbit_code': 67553994444116552, 'n': 787, 'trace_an': -16}
  • id: 60609047
    {'hecke_orbit_code': 67553994444116552, 'n': 797, 'trace_an': -38}
  • id: 60609048
    {'hecke_orbit_code': 67553994444116552, 'n': 809, 'trace_an': 46}
  • id: 60609049
    {'hecke_orbit_code': 67553994444116552, 'n': 811, 'trace_an': -12}
  • id: 60609050
    {'hecke_orbit_code': 67553994444116552, 'n': 821, 'trace_an': 6}
  • id: 60609051
    {'hecke_orbit_code': 67553994444116552, 'n': 823, 'trace_an': 8}
  • id: 60609052
    {'hecke_orbit_code': 67553994444116552, 'n': 827, 'trace_an': -12}
  • id: 60609053
    {'hecke_orbit_code': 67553994444116552, 'n': 829, 'trace_an': -2}
  • id: 60609054
    {'hecke_orbit_code': 67553994444116552, 'n': 839, 'trace_an': 16}
  • id: 60609055
    {'hecke_orbit_code': 67553994444116552, 'n': 841, 'trace_an': 7}
  • id: 60609056
    {'hecke_orbit_code': 67553994444116552, 'n': 853, 'trace_an': 38}
  • id: 60609057
    {'hecke_orbit_code': 67553994444116552, 'n': 857, 'trace_an': 42}
  • id: 60609058
    {'hecke_orbit_code': 67553994444116552, 'n': 859, 'trace_an': -20}
  • id: 60609059
    {'hecke_orbit_code': 67553994444116552, 'n': 863, 'trace_an': 32}
  • id: 60609060
    {'hecke_orbit_code': 67553994444116552, 'n': 877, 'trace_an': 22}
  • id: 60609061
    {'hecke_orbit_code': 67553994444116552, 'n': 881, 'trace_an': -50}
  • id: 60609062
    {'hecke_orbit_code': 67553994444116552, 'n': 883, 'trace_an': -44}
  • id: 60609063
    {'hecke_orbit_code': 67553994444116552, 'n': 887, 'trace_an': 44}
  • id: 60609064
    {'hecke_orbit_code': 67553994444116552, 'n': 907, 'trace_an': -12}
  • id: 60609065
    {'hecke_orbit_code': 67553994444116552, 'n': 911, 'trace_an': 48}
  • id: 60609066
    {'hecke_orbit_code': 67553994444116552, 'n': 919, 'trace_an': 40}
  • id: 60609067
    {'hecke_orbit_code': 67553994444116552, 'n': 929, 'trace_an': -6}
  • id: 60609068
    {'hecke_orbit_code': 67553994444116552, 'n': 937, 'trace_an': 26}
  • id: 60609069
    {'hecke_orbit_code': 67553994444116552, 'n': 941, 'trace_an': 30}
  • id: 60609070
    {'hecke_orbit_code': 67553994444116552, 'n': 947, 'trace_an': -12}
  • id: 60609071
    {'hecke_orbit_code': 67553994444116552, 'n': 953, 'trace_an': -14}
  • id: 60609072
    {'hecke_orbit_code': 67553994444116552, 'n': 961, 'trace_an': -15}
  • id: 60609073
    {'hecke_orbit_code': 67553994444116552, 'n': 967, 'trace_an': 48}
  • id: 60609074
    {'hecke_orbit_code': 67553994444116552, 'n': 971, 'trace_an': 32}
  • id: 60609075
    {'hecke_orbit_code': 67553994444116552, 'n': 977, 'trace_an': -46}
  • id: 60609076
    {'hecke_orbit_code': 67553994444116552, 'n': 983, 'trace_an': 32}
  • id: 60609077
    {'hecke_orbit_code': 67553994444116552, 'n': 991, 'trace_an': 32}
  • id: 60609078
    {'hecke_orbit_code': 67553994444116552, 'n': 997, 'trace_an': 38}