Newform data - 2420.2.a.b

Formats: - HTML - YAML - JSON - 2025-12-08T04:17:20.104380

• 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': 9680, 'analytic_conductor': 19.32379728914985, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, -1], [11, -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': [2420, 1, [1211, 1937, 2301], [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]], [7, [-4, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660927348, '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': '2420.2.a.b', 'level': 2420, '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, 5, 11], 'level_radical': 110, 'minimal_twist': '220.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2q^{3}+q^{5}+4q^{7}+q^{9}+4q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/2420/b'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2420.2.a', 'trace_display': [0, -2, 1, 4], 'trace_hash': 471021842917596988, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.020', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.996', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.940', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.784', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.020', 'prec': 17}, 'traces': [1, 0, -2, 0, 1, 0, 4, 0, 1, 0, 0, 0, 4, 0, -2, 0, 0, 0, 4, 0, -8, 0, -6, 0, 1, 0, 4, 0, 6, 0, 8, 0, 0, 0, 4, 0, 2, 0, -8, 0, -6, 0, -8, 0, 1, 0, 6, 0, 9, 0, 0, 0, -6, 0, 0, 0, -8, 0, -12, 0, -2, 0, 4, 0, 4, 0, -10, 0, 12, 0, -12, 0, 16, 0, -2, 0, 0, 0, -8, 0, -11, 0, 0, 0, 0, 0, -12, 0, 6, 0, 16, 0, -16, 0, 4, 0, 14, 0, 0, 0, 18, 0, 14, 0, -8, 0, 12, 0, 10, 0, -4, 0, 6, 0, -6, 0, 4, 0, 0, 0, 0, 0, 12, 0, 1, 0, 16, 0, 16, 0, -12, 0, 16, 0, 4, 0, 6, 0, 4, 0, -12, 0, 0, 0, 6, 0, -18, 0, 18, 0, -8, 0, 0, 0, 8, 0, -10, 0, 12, 0, -24, 0, 14, 0, 0, 0, 0, 0, 3, 0, 4, 0, 0, 0, 4, 0, 24, 0, 0, 0, -22, 0, 4, 0, 2, 0, 0, 0, 16, 0, -24, 0, -8, 0, -8, 0, 0, 0, 8, 0, 20, 0, 24, 0, -6, 0, -6, 0, 0, 0, -20, 0, 24, 0, -8, 0, 32, 0, -32, 0, 0, 0, 2, 0, 1, 0, 0, 0, 14, 0, 0, 0, 12, 0, 6, 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0, 0, 0, -72, 0, -18, 0, 40, 0, 24, 0, -2, 0, 16, 0, 6, 0, 0, 0, 48, 0, -84, 0, 0, 0, -36, 0, 78, 0, 16, 0, 0, 0, 12, 0, 18, 0, -96, 0, 0, 0, -20, 0, 8, 0, 0, 0, -4, 0, 24, 0, 0, 0, 128, 0, 16, 0, -30, 0, 26, 0, 20, 0, 12, 0, 16, 0, 0, 0, 48, 0, -70, 0, 84, 0, 28, 0, 52, 0, -80, 0, -48, 0, -10, 0, 0, 0, 42, 0, 0, 0, 96, 0, 54, 0, -30, 0, -20, 0, -6, 0, -40, 0, 18, 0, -22, 0, -112, 0, 12, 0, 0, 0, -108, 0, -16, 0, 0, 0, 0, 0, 8, 0, -30, 0, -18, 0, 48, 0, -36, 0, 26, 0, 0, 0, -40, 0, -22, 0, -66, 0, -48, 0, -88, 0, 20, 0, -78, 0, 64, 0, -8, 0, 0, 0, 0, 0, 24, 0, -84, 0, -68, 0, -48, 0, 4, 0, 2, 0, 16, 0, 6, 0, -44, 0, -6, 0, 0, 0, -26, 0, 84, 0, 0, 0, 0, 0, 0, 0, 48, 0, -31, 0, 24, 0, 8, 0, 0, 0, 0, 0, -36, 0, 64, 0, 48, 0, 60, 0, 72, 0, -30, 0, -66, 0, 14, 0, 60, 0, -48, 0, 0, 0, -56, 0, -34, 0, -20, 0, 16, 0, 54, 0, -104, 0, -28, 0, -18, 0, -64, 0, 64, 0, 0, 0, -12, 0, 64, 0, 60, 0, -72, 0, -60, 0, 0, 0, 2, 0, 68, 0, 72, 0, 62, 0, 0, 0, 24, 0, -20, 0, -24, 0, -96, 0, -48, 0, 68, 0, -48, 0, -36, 0, -20, 0, 20, 0, 0, 0, 0, 0, 12, 0, -56, 0, 0, 0, -60, 0, -32, 0, -88, 0, 0, 0, -36, 0, 0, 0, 0, 0, 82, 0, -14, 0, 18, 0, -12, 0, 18, 0, 96, 0, 0, 0, -6, 0, 96, 0, -40, 0, 0, 0, -24, 0, 6, 0, -8, 0, -6, 0, -32, 0, 24, 0, 64, 0, 62, 0, 112, 0, 0, 0, 0, 0, 16, 0, 0, 0, -40, 0, 48, 0, 0, 0, 14, 0, -64, 0, 72, 0, 36, 0, -24, 0, 0, 0, 32, 0, -12, 0, 72, 0, -68, 0, 0, 0, -54, 0, -36, 0, -17, 0, 24, 0, 6, 0, 0, 0, 6, 0, 64, 0, 80, 0, 4, 0, 52, 0, 56, 0, 30, 0, 16, 0, -8, 0, -24, 0, 0, 0, 16, 0, -78, 0, 0, 0, -12, 0, 96, 0, 16, 0, 36, 0, 13, 0, -56, 0, 20, 0, 0, 0, 80, 0, -12, 0, -48, 0, -68, 0, -96, 0, 54, 0, -24, 0, -128, 0, 0, 0, 44, 0, 0, 0, 12, 0, 86, 0, -48, 0, -72, 0, -92, 0, 0, 0, 42, 0, 50, 0, -24, 0, 66, 0, 0, 0, -96, 0, 60, 0, 32, 0, 0, 0, -38, 0, -58, 0, -32, 0, -84, 0, -68, 0, 44, 0, 0, 0, -8, 0, 20, 0, 72, 0, 10, 0, 72, 0, 90, 0, -16, 0, -48, 0, -8, 0, 0, 0, 0, 0, -42, 0, -80, 0, -2, 0, 60, 0, 58, 0, 96, 0, 30, 0, 24, 0, 16, 0, 48, 0, 0, 0, 4, 0, -32, 0, -68, 0, 96, 0, 0, 0, -72, 0, -4, 0, -54, 0, -40, 0, 56, 0, 0, 0, -24, 0, 36, 0, -6, 0, 16, 0, -72, 0, -32, 0, 38, 0, -12, 0, -90, 0, -94, 0, 0, 0, 120, 0, -17, 0, -56, 0, 84, 0, 36, 0, 26, 0, 36, 0, 128, 0, -36, 0, 6, 0, 0, 0, -72, 0, 72, 0, 28, 0, -44, 0, -36, 0, 0, 0, -12, 0, 54, 0, -42, 0, -128, 0, 0, 0, 52, 0, 6, 0, -20, 0, 40, 0, -24, 0, -54, 0, -8, 0, 48, 0, -12, 0, -32, 0, 0, 0, 0, 0, -6, 0, -48, 0, -48, 0, 80, 0, -66, 0, 14, 0, 2, 0, 48, 0, -108, 0, 0, 0, 16, 0, -102, 0, 8, 0, 64, 0, 60, 0, 0, 0, 0, 0, -66, 0, 72, 0, 72, 0, 0, 0, -44, 0, -32, 0, -96, 0, -16, 0, 4, 0, 42, 0, 108, 0, 36, 0, -96, 0, -42, 0, 0, 0, 12, 0, 0, 0, 40, 0, 32, 0, -40, 0, -12, 0, 0, 0, -70, 0, 0, 0, 90, 0, 0, 0, 24, 0, -42, 0, 24, 0, -96, 0, 78, 0, 80, 0, 32, 0, 0, 0, 56, 0, -28, 0, 0, 0, -40, 0, -16, 0, 84, 0, -18, 0, 16, 0, -96, 0, -12, 0, -22, 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], [-2], [0], [1], [0], [4], [0], [1], [0], [0], [0], [4], [0], [-2], [0], [0], [0], [4], [0], [-8], [0], [-6], [0], [1], [0], [4], [0], [6], [0], [8], [0], [0], [0], [4], [0], [2], [0], [-8], [0], [-6], [0], [-8], [0], [1], [0], [6], [0], [9], [0], [0], [0], [-6], [0], [0], [0], [-8], [0], [-12], [0], [-2], [0], [4], [0], [4], [0], [-10], [0], [12], [0], [-12], [0], [16], [0], [-2], [0], [0], [0], [-8], [0], [-11], [0], [0], [0], [0], [0], [-12], [0], [6], [0], [16], [0], [-16], [0], [4], [0], [14], [0], [0], [0]], 'ap': [[0], [-2], [1], [4], [0], [4], [0], [4], [-6], [6], [8], [2], [-6], [-8], [6], [-6], [-12], [-2], [-10], [-12], [16], [-8], [0], [6], [14], [18], [14], [12], [10], [6], [16], [-12], [6], [4], [18], [-8], [-10], [14], [0], [0], [0], [-22], [-24], [-8], [0], [8], [-20], [2], [0], [14], [12], [0], [10], [24], [18], [24], [-30], [16], [-20], [18], [-8], [-12], [4], [-12], [26], [6], [-28], [16], [-12], [-26], [18], [0], [-10], [16], [20], [-18], [18], [-10], [30], [-2], [-24], [-10], [24], [14], [-32], [-18], [18], [28], [-30], [-22], [-18], [0], [-34], [-12], [20], [-36], [6], [6], [4], [-38], [-8], [-24], [36], [-42], [-20], [14], [-42], [24], [-12], [-38], [40], [16], [-18], [8], [20], [-30], [14], [18], [18], [36], [-22], [-8], [12], [-30], [8], [30], [26], [36], [26], [-32], [-20], [-24], [-4], [-10], [-42], [10], [-6], [4], [-42], [-30], [28], [30], [-34], [12], [-34], [0], [-56], [-24], [32], [6], [-8], [-18], [-10], [48], [-10], [24], [-8], [-18], [28], [18], [6], [12], [-32], [-36], [-18], [6], [-16], [-8], [34], [-30], [-36], [26], [24], [-44], [-4], [-30], [4], [6], [52], [34], [-22], [36], [14], [60], [-30], [-54], [-8], [-22], [22], [0], [-10], [-24], [32], [-30], [-24], [-30], [-14], [26], [36], [-24], [-66], [-8], [50], [10], [-24], [-18], [32], [36], [-6], [-28], [-44], [30], [14], [-18], [-24], [-10], [28], [-42], [66], [-6], [-2], [-32], [-54], [-34], [-36], [10], [30], [-24], [-8], [-12], [14], [52], [-8], [18], [26], [12], [50], [60], [12], [-24], [6], [-20], [-10], [-46], [12], [24], [-34], [24], [76], [-48], [-68], [-42], [42], [-34], [-48], [-60], [2], [-8], [-42], [52], [64], [72], [22], [4], [18], [-28], [18], [-54], [-32], [-12], [14], [38], [-82], [40], [52], [26], [-18], [46], [-62], [-60], [-48], [-40], [12], [10], [64], [0], [-10], [60], [-28], [6], [-30], [42], [36], [-60], [-44], [-30], [68], [-54], [-12], [-44], [4], [24], [40], [-6], [-76], [26], [-18], [-82], [60], [88], [-36], [54], [-18], [-22], [24], [10], [0], [72], [-34], [-66], [28], [-10], [6], [26], [-84], [2], [-16], [-34], [60], [-72], [-2], [78], [16], [12], [-20], [-30], [26], [12], [-70], [52], [-10], [42], [-6], [-40], [-30], [-36], [26], [-22], [-48], [-78], [-68], [2], [6], [-44], [-26], [0], [48], [-36], [60], [-66], [-20], [54], [-18], [60], [2], [62], [24], [-56], [82], [96], [-40], [-24], [-6], [-32], [62], [72], [72], [-68], [6], [52], [30], [-78], [-56], [-48], [-68], [54], [44], [86], [-92], [42], [50], [66], [60], [-58], [-84], [-68], [-8], [90], [-16], [-42], [58], [30], [-68], [-54], [-6], [16], [38], [-90], [-94], [36], [28], [-36], [54], [52], [40], [-54], [-48], [2], [-102], [60], [-66], [-44], [42], [12], [-70], [90], [-42], [78], [80], [-48]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 4503599660927348, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '2420.2.a.b', 'level': 2420, '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': [0, 0, 0, 0, 12, 7, 6, 12], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [11, 12, 12, 12, 6, 6, 6, 6], 'ALdims_old': [40, 48, 45, 42, 39, 35, 39, 36], 'Nk2': 9680, 'analytic_conductor': 19.32379728914985, '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': [2420, 1, [1211, 1937, 2301], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 361, 'dim': 37, 'eis_dim': 71, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 33556852, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 2, 3, 3, 4, 4, 4, 4, 6], 'label': '2420.2.a', 'level': 2420, '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, 5, 11], 'level_radical': 110, 'mf_dim': 432, 'mf_new_dim': 37, 'num_forms': 15, 'plus_dim': 13, 'prim_orbit_index': 1, 'relative_dim': 37, 'sturm_bound': 792, 'trace_bound': 7, 'trace_display': [0, 2, -1, 2], 'traces': [37, 0, 2, 0, -1, 0, 2, 0, 37, 0, 0, 0, 2, 0, -2, 0, 10, 0, 12, 0, -4, 0, -2, 0, 37, 0, -4, 0, -2, 0, 0, 0, 0, 0, 6, 0, 10, 0, -4, 0, -2, 0, -2, 0, -1, 0, -10, 0, 45, 0, -4, 0, 6, 0, 0, 0, -8, 0, 0, 0, 10, 0, 2, 0, 6, 0, 2, 0, -4, 0, 24, 0, 18, 0, 2, 0, 0, 0, -8, 0, 89, 0, -18, 0, -2, 0, -4, 0, -6, 0, 52, 0, 96, 0, 4, 0, 62, 0, 0, 0, -2, 0, 34, 0, -12, 0, 10, 0, -6, 0, 104, 0, 6, 0, 6, 0, 2, 0, 20, 0, 0, 0, 44, 0, -1, 0, -6, 0, -12, 0, -32, 0, 80, 0, 16, 0, -6, 0, 28, 0, 4, 0, 0, 0, 10, 0, 98, 0, 18, 0, -12, 0, 10, 0, -12, 0, 22, 0, -24, 0, -36, 0, 74, 0, 0, 0, -6, 0, 63, 0, 12, 0, 10, 0, 2, 0, 24, 0, 4, 0, 90, 0, 36, 0, 2, 0, 0, 0, 8, 0, 56, 0, -38, 0, -12, 0, -30, 0, 8, 0, 40, 0, -52, 0, 10, 0, -6, 0, 0, 0, -32, 0, -76, 0, -22, 0, 40, 0, -20, 0, 4, 0, 126, 0, 37, 0, 2, 0, -22, 0, 0, 0, 42, 0, -26, 0, 48, 0, 8, 0, -10, 0, -250, 0, -5, 0, 80, 0, -12, 0, -248, 0, 0, 0, 20, 0, -10, 0, 4, 0, -2, 0, 54, 0, 6, 0, -264, 0, 6, 0, 4, 0, 84, 0, 0, 0, -70, 0, 4, 0, 30, 0, -10, 0, 8, 0, -8, 0, 35, 0, -228, 0, 18, 0, 20, 0, 0, 0, -36, 0, 156, 0, -52, 0, 14, 0, -14, 0, 28, 0, -16, 0, 22, 0, 6, 0, 26, 0, 0, 0, -52, 0, -292, 0, 2, 0, -44, 0, 36, 0, 96, 0, 46, 0, 18, 0, -14, 0, -52, 0, 0, 0, 28, 0, -44, 0, 18, 0, 14, 0, 8, 0, -70, 0, 4, 0, -36, 0, -40, 0, 81, 0, 0, 0, 22, 0, -118, 0, -2, 0, -12, 0, 26, 0, -2, 0, -60, 0, -156, 0, -68, 0, 26, 0, 0, 0, -2, 0, -22, 0, 60, 0, -16, 0, 8, 0, 82, 0, -164, 0, 38, 0, 40, 0, -5, 0, 0, 0, 22, 0, -164, 0, -72, 0, -6, 0, 24, 0, 0, 0, -18, 0, -34, 0, 10, 0, -148, 0, 0, 0, -28, 0, 2, 0, -28, 0, 24, 0, -24, 0, 29, 0, 42, 0, -26, 0, -60, 0, 6, 0, 0, 0, 88, 0, -28, 0, 26, 0, 8, 0, -42, 0, -166, 0, 36, 0, -154, 0, -44, 0, 0, 0, 0, 0, 12, 0, 22, 0, 24, 0, 4, 0, 72, 0, -14, 0, 50, 0, 48, 0, -48, 0, 40, 0, 0, 0, -24, 0, -20, 0, 60, 0, -18, 0, 10, 0, -190, 0, -6, 0, 0, 0, 16, 0, -18, 0, 0, 0, -4, 0, 46, 0, -18, 0, -4, 0, -24, 0, -11, 0, -280, 0, 16, 0, -2, 0, -28, 0, 0, 0, -74, 0, -164, 0, -2, 0, -30, 0, 10, 0, -16, 0, 128, 0, 4, 0, 18, 0, -96, 0, 0, 0, 30, 0, -26, 0, -22, 0, -90, 0, -40, 0, -92, 0, -2, 0, -54, 0, 60, 0, -24, 0, 0, 0, 6, 0, 66, 0, 16, 0, 12, 0, 34, 0, -20, 0, 112, 0, -60, 0, -34, 0, -286, 0, 0, 0, 34, 0, -180, 0, 36, 0, 34, 0, 20, 0, 46, 0, -156, 0, -208, 0, 36, 0, 37, 0, 0, 0, -12, 0, 28, 0, -48, 0, -2, 0, 42, 0, 52, 0, -226, 0, 14, 0, 28, 0, -62, 0, 0, 0, -80, 0, -106, 0, -32, 0, 18, 0, -12, 0, 74, 0, -24, 0, -20, 0, -84, 0, -196, 0, 0, 0, 66, 0, -4, 0, 2, 0, 52, 0, -20, 0, -134, 0, 34, 0, -104, 0, -12, 0, 96, 0, 0, 0, 20, 0, 52, 0, 12, 0, 26, 0, -8, 0, -228, 0, -104, 0, 22, 0, -8, 0, 48, 0, 0, 0, -80, 0, 4, 0, 28, 0, -4, 0, -2, 0, 38, 0, 13, 0, -60, 0, 26, 0, 26, 0, 0, 0, -92, 0, 76, 0, -66, 0, 6, 0, -18, 0, -280, 0, 4, 0, 36, 0, 28, 0, 26, 0, 0, 0, -30, 0, -208, 0, -2, 0, -72, 0, -6, 0, -180, 0, 78, 0, 0, 0, -8, 0, 4, 0, 0, 0, 8, 0, -34, 0, 10, 0, -60, 0, 36, 0, 116, 0, 20, 0, -58, 0, 4, 0, -214, 0, 0, 0, -12, 0, 36, 0, -78, 0, 64, 0, 24, 0, -10, 0, 312, 0, 276, 0, 66, 0, 330, 0, 0, 0, 34, 0, 334, 0, 44, 0, -46, 0, 30, 0, 324, 0, 72, 0, 59, 0, 12, 0, -7, 0, 0, 0, 68, 0, 44, 0, -62, 0, 4, 0, -62, 0, 352, 0, -296, 0, 14, 0, -2, 0, -214, 0, 0, 0, -44, 0, 282, 0, 6, 0, -6, 0, -36, 0, 22, 0, 6, 0, -56, 0, 58, 0, 252, 0, 0, 0, 40, 0, -20, 0, 72, 0, 72, 0, -28, 0, 4, 0, -30, 0, 350, 0, -2, 0, -36, 0, 0, 0, 28, 0, 28, 0, 16, 0, -36, 0, -24, 0, 10, 0, 318, 0, -138, 0, -4, 0, 12, 0, 0, 0, -6, 0, -144, 0, 22, 0, 60, 0, 24, 0, -42, 0, 268, 0, 12, 0, -6, 0, 4, 0, 0, 0, -12, 0, 145, 0, 10, 0, 14, 0, 2, 0, -276, 0, -220, 0, 324, 0, -4, 0, -234, 0, 0, 0, -6, 0, -2, 0, 6, 0, -72, 0, 84, 0, -24, 0, -256, 0, 40, 0, 10, 0, 320, 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: 938930
    {'conductor': 11, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '2420.2.a.b', 'source_level': 2420, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '220.2.a.a', 'target_level': 220, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '11.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 938931
    {'conductor': 44, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '2420.2.a.b', 'source_level': 2420, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '880.2.a.j', 'target_level': 880, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '44.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 938932
    {'conductor': 55, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '2420.2.a.b', 'source_level': 2420, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '1100.2.a.e', 'target_level': 1100, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '55.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 938933
    {'conductor': 55, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '2420.2.a.b', 'source_level': 2420, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1100.2.b.a', 'target_level': 1100, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '55.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 938934
    {'conductor': 33, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '2420.2.a.b', 'source_level': 2420, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1980.2.a.a', 'target_level': 1980, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '33.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 938935
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '2420.2.a.b', 'source_level': 2420, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '2420.2.a.b', 'target_level': 2420, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 938936
    {'conductor': 88, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '2420.2.a.b', 'source_level': 2420, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '3520.2.a.d', 'target_level': 3520, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '88.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 938937
    {'conductor': 88, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '2420.2.a.b', 'source_level': 2420, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 30, 'target_is_minimal': False, 'target_label': '3520.2.a.bd', 'target_level': 3520, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '88.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 938938
    {'conductor': 220, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '2420.2.a.b', 'source_level': 2420, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '4400.2.a.e', 'target_level': 4400, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '220.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 938939
    {'conductor': 220, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '2420.2.a.b', 'source_level': 2420, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '4400.2.b.f', 'target_level': 4400, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '220.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 938940
    {'conductor': 132, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '2420.2.a.b', 'source_level': 2420, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '7920.2.a.o', 'target_level': 7920, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '132.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 938941
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '2420.2.a.b', 'source_level': 2420, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 28, 'target_is_minimal': False, 'target_label': '9680.2.a.bb', 'target_level': 9680, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 938942
    {'conductor': 165, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '2420.2.a.b', 'source_level': 2420, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 30, 'target_is_minimal': False, 'target_label': '9900.2.a.bd', 'target_level': 9900, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '165.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 938943
    {'conductor': 165, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '2420.2.a.b', 'source_level': 2420, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '9900.2.c.m', 'target_level': 9900, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '165.l', 'twisting_char_orbit': 12, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2644675
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 2}
  • id: 2644676
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 3}
  • id: 2644677
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 5}
  • id: 2644678
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 7}
  • id: 2644679
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 11}
  • id: 2644680
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 13}
  • id: 2644681
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 17}
  • id: 2644682
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 19}
  • id: 2644683
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 23}
  • id: 2644684
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 29}
  • id: 2644685
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 31}
  • id: 2644686
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 37}
  • id: 2644687
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 41}
  • id: 2644688
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 43}
  • id: 2644689
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 47}
  • id: 2644690
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 53}
  • id: 2644691
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 59}
  • id: 2644692
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 61}
  • id: 2644693
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 67}
  • id: 2644694
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 71}
  • id: 2644695
    {'charpoly_factorization': [[[-16, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 73}
  • id: 2644696
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 79}
  • id: 2644697
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 83}
  • id: 2644698
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660927348, 'p': 89}
  • id: 2644699
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 4503599660927348, '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': 2, 'label': '2420.2.a.b', 'level': 2420, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 16642614
    {'hecke_orbit_code': 4503599660927348, 'n': 1, 'trace_an': 1}
  • id: 16642615
    {'hecke_orbit_code': 4503599660927348, 'n': 2, 'trace_an': 0}
  • id: 16642616
    {'hecke_orbit_code': 4503599660927348, 'n': 3, 'trace_an': -2}
  • id: 16642617
    {'hecke_orbit_code': 4503599660927348, 'n': 4, 'trace_an': 0}
  • id: 16642618
    {'hecke_orbit_code': 4503599660927348, 'n': 5, 'trace_an': 1}
  • id: 16642619
    {'hecke_orbit_code': 4503599660927348, 'n': 6, 'trace_an': 0}
  • id: 16642620
    {'hecke_orbit_code': 4503599660927348, 'n': 7, 'trace_an': 4}
  • id: 16642621
    {'hecke_orbit_code': 4503599660927348, 'n': 8, 'trace_an': 0}
  • id: 16642622
    {'hecke_orbit_code': 4503599660927348, 'n': 9, 'trace_an': 1}
  • id: 16642623
    {'hecke_orbit_code': 4503599660927348, 'n': 10, 'trace_an': 0}
  • id: 16642624
    {'hecke_orbit_code': 4503599660927348, 'n': 11, 'trace_an': 0}
  • id: 16642625
    {'hecke_orbit_code': 4503599660927348, 'n': 12, 'trace_an': 0}
  • id: 16642626
    {'hecke_orbit_code': 4503599660927348, 'n': 13, 'trace_an': 4}
  • id: 16642627
    {'hecke_orbit_code': 4503599660927348, 'n': 14, 'trace_an': 0}
  • id: 16642628
    {'hecke_orbit_code': 4503599660927348, 'n': 15, 'trace_an': -2}
  • id: 16642629
    {'hecke_orbit_code': 4503599660927348, 'n': 16, 'trace_an': 0}
  • id: 16642630
    {'hecke_orbit_code': 4503599660927348, 'n': 17, 'trace_an': 0}
  • id: 16642631
    {'hecke_orbit_code': 4503599660927348, 'n': 18, 'trace_an': 0}
  • id: 16642632
    {'hecke_orbit_code': 4503599660927348, 'n': 19, 'trace_an': 4}
  • id: 16642633
    {'hecke_orbit_code': 4503599660927348, 'n': 20, 'trace_an': 0}
  • id: 16642634
    {'hecke_orbit_code': 4503599660927348, 'n': 21, 'trace_an': -8}
  • id: 16642635
    {'hecke_orbit_code': 4503599660927348, 'n': 22, 'trace_an': 0}
  • id: 16642636
    {'hecke_orbit_code': 4503599660927348, 'n': 23, 'trace_an': -6}
  • id: 16642637
    {'hecke_orbit_code': 4503599660927348, 'n': 24, 'trace_an': 0}
  • id: 16642638
    {'hecke_orbit_code': 4503599660927348, 'n': 25, 'trace_an': 1}
  • id: 16642639
    {'hecke_orbit_code': 4503599660927348, 'n': 26, 'trace_an': 0}
  • id: 16642640
    {'hecke_orbit_code': 4503599660927348, 'n': 27, 'trace_an': 4}
  • id: 16642641
    {'hecke_orbit_code': 4503599660927348, 'n': 28, 'trace_an': 0}
  • id: 16642642
    {'hecke_orbit_code': 4503599660927348, 'n': 29, 'trace_an': 6}
  • id: 16642643
    {'hecke_orbit_code': 4503599660927348, 'n': 30, 'trace_an': 0}
  • id: 16642644
    {'hecke_orbit_code': 4503599660927348, 'n': 31, 'trace_an': 8}
  • id: 16642645
    {'hecke_orbit_code': 4503599660927348, 'n': 32, 'trace_an': 0}
  • id: 16642646
    {'hecke_orbit_code': 4503599660927348, 'n': 33, 'trace_an': 0}
  • id: 16642647
    {'hecke_orbit_code': 4503599660927348, 'n': 34, 'trace_an': 0}
  • id: 16642648
    {'hecke_orbit_code': 4503599660927348, 'n': 35, 'trace_an': 4}
  • id: 16642649
    {'hecke_orbit_code': 4503599660927348, 'n': 36, 'trace_an': 0}
  • id: 16642650
    {'hecke_orbit_code': 4503599660927348, 'n': 37, 'trace_an': 2}
  • id: 16642651
    {'hecke_orbit_code': 4503599660927348, 'n': 38, 'trace_an': 0}
  • id: 16642652
    {'hecke_orbit_code': 4503599660927348, 'n': 39, 'trace_an': -8}
  • id: 16642653
    {'hecke_orbit_code': 4503599660927348, 'n': 40, 'trace_an': 0}
  • id: 16642654
    {'hecke_orbit_code': 4503599660927348, 'n': 41, 'trace_an': -6}
  • id: 16642655
    {'hecke_orbit_code': 4503599660927348, 'n': 42, 'trace_an': 0}
  • id: 16642656
    {'hecke_orbit_code': 4503599660927348, 'n': 43, 'trace_an': -8}
  • id: 16642657
    {'hecke_orbit_code': 4503599660927348, 'n': 44, 'trace_an': 0}
  • id: 16642658
    {'hecke_orbit_code': 4503599660927348, 'n': 45, 'trace_an': 1}
  • id: 16642659
    {'hecke_orbit_code': 4503599660927348, 'n': 46, 'trace_an': 0}
  • id: 16642660
    {'hecke_orbit_code': 4503599660927348, 'n': 47, 'trace_an': 6}
  • id: 16642661
    {'hecke_orbit_code': 4503599660927348, 'n': 48, 'trace_an': 0}
  • id: 16642662
    {'hecke_orbit_code': 4503599660927348, 'n': 49, 'trace_an': 9}
  • id: 16642663
    {'hecke_orbit_code': 4503599660927348, 'n': 50, 'trace_an': 0}
  • id: 16642664
    {'hecke_orbit_code': 4503599660927348, 'n': 51, 'trace_an': 0}
  • id: 16642665
    {'hecke_orbit_code': 4503599660927348, 'n': 52, 'trace_an': 0}
  • id: 16642666
    {'hecke_orbit_code': 4503599660927348, 'n': 53, 'trace_an': -6}
  • id: 16642667
    {'hecke_orbit_code': 4503599660927348, 'n': 54, 'trace_an': 0}
  • id: 16642668
    {'hecke_orbit_code': 4503599660927348, 'n': 55, 'trace_an': 0}
  • id: 16642669
    {'hecke_orbit_code': 4503599660927348, 'n': 56, 'trace_an': 0}
  • id: 16642670
    {'hecke_orbit_code': 4503599660927348, 'n': 57, 'trace_an': -8}
  • id: 16642671
    {'hecke_orbit_code': 4503599660927348, 'n': 58, 'trace_an': 0}
  • id: 16642672
    {'hecke_orbit_code': 4503599660927348, 'n': 59, 'trace_an': -12}
  • id: 16642673
    {'hecke_orbit_code': 4503599660927348, 'n': 60, 'trace_an': 0}
  • id: 16642674
    {'hecke_orbit_code': 4503599660927348, 'n': 61, 'trace_an': -2}
  • id: 16642675
    {'hecke_orbit_code': 4503599660927348, 'n': 62, 'trace_an': 0}
  • id: 16642676
    {'hecke_orbit_code': 4503599660927348, 'n': 63, 'trace_an': 4}
  • id: 16642677
    {'hecke_orbit_code': 4503599660927348, 'n': 64, 'trace_an': 0}
  • id: 16642678
    {'hecke_orbit_code': 4503599660927348, 'n': 65, 'trace_an': 4}
  • id: 16642679
    {'hecke_orbit_code': 4503599660927348, 'n': 66, 'trace_an': 0}
  • id: 16642680
    {'hecke_orbit_code': 4503599660927348, 'n': 67, 'trace_an': -10}
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  • id: 16642702
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  • id: 16642704
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  • id: 16642708
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  • id: 16642710
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  • id: 16642714
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  • id: 16642715
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  • id: 16642716
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  • id: 16642717
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  • id: 16642718
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  • id: 16642722
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  • id: 16642723
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  • id: 16642724
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  • id: 16642725
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  • id: 16642726
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  • id: 16642727
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  • id: 16642728
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  • id: 16642729
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  • id: 16642731
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  • id: 16642735
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  • id: 16642738
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  • id: 16642740
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  • id: 16642749
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  • id: 16642752
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  • id: 16642753
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  • id: 16642754
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  • id: 16642755
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  • id: 16642756
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  • id: 16642757
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  • id: 16642758
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  • id: 16642760
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  • id: 16642761
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  • id: 16642762
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  • id: 16642763
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  • id: 16642764
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  • id: 16642765
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  • id: 16642766
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  • id: 16642767
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  • id: 16642769
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  • id: 16642770
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  • id: 16642771
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  • id: 16642772
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  • id: 16642773
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  • id: 16642774
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  • id: 16642775
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  • id: 16642776
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  • id: 16642777
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  • id: 16642778
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  • id: 16642779
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  • id: 16642780
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  • id: 16642781
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  • id: 16642782
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  • id: 16642783
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  • id: 16642784
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  • id: 16642785
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  • id: 16642786
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  • id: 16642787
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  • id: 16642788
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  • id: 16642789
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  • id: 16642790
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  • id: 16642791
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  • id: 16642792
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  • id: 16642793
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  • id: 16642794
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  • id: 16642795
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  • id: 16642796
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  • id: 16642797
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  • id: 16642798
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  • id: 16642799
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  • id: 16642800
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  • id: 16642801
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  • id: 16642802
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  • id: 16642803
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  • id: 16642804
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  • id: 16642805
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  • id: 16642807
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  • id: 16642808
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  • id: 16642810
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  • id: 16642811
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  • id: 16642812
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  • id: 16642813
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  • id: 16642814
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  • id: 16642815
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  • id: 16642816
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  • id: 16642817
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  • id: 16642818
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  • id: 16642819
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  • id: 16642820
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  • id: 16642821
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  • id: 16642822
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  • id: 16642823
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  • id: 16642824
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  • id: 16642825
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  • id: 16642826
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  • id: 16642827
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  • id: 16642828
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  • id: 16642829
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  • id: 16642830
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  • id: 16642831
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  • id: 16642832
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  • id: 16642833
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  • id: 16642834
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  • id: 16642835
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  • id: 16642836
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  • id: 16642837
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  • id: 16642838
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  • id: 16642839
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  • id: 16642840
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  • id: 16642841
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  • id: 16642842
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  • id: 16642843
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  • id: 16642844
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  • id: 16642845
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  • id: 16642846
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  • id: 16642847
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  • id: 16642848
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  • id: 16642849
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  • id: 16642850
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  • id: 16642851
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  • id: 16642852
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  • id: 16642853
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  • id: 16642854
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  • id: 16642855
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  • id: 16642856
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  • id: 16642857
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  • id: 16642858
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  • id: 16642859
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  • id: 16642860
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  • id: 16642861
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  • id: 16642862
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  • id: 16642863
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  • id: 16642864
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  • id: 16642865
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  • id: 16642866
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  • id: 16642867
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  • id: 16642868
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  • id: 16642869
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  • id: 16642870
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  • id: 16642871
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