Newform data - 2312.2.a.k

Formats: - HTML - YAML - JSON - 2025-09-13T09:10:56.958640

• 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': 9248, 'analytic_conductor': 18.461412947320024, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [17, 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': [2312, 1, [1735, 1157, 1737], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 8, 'field_disc_factorization': [[2, 3]], 'field_poly': [-2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 8, 'fricke_eigenval': -1, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [-8, 0, 1]], [5, [-2, 0, 1]], [7, [-8, 0, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45035996307261704, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 17, 2, 1, 2, 0]], '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': '2312.2.a.k', 'level': 2312, '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, 17], 'level_radical': 34, 'minimal_twist': '136.2.k.d', 'nf_label': '2.2.8.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2\\beta q^{3}+\\beta q^{5}-2\\beta q^{7}+5q^{9}-2\\beta q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2312.2.a', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1626006397638139273, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.932', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.051', 'prec': 17}, {'__RealLiteral__': 0, 'data': '15.676', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.785', 'prec': 17}, {'__RealLiteral__': 0, 'data': '159.254', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.529', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 8, 0, 8, 0, 0, 0, 16, 0, -16, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, -16, 0, -8, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 2, 0, 0, 0, -24, 0, -8, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 24, 0, 16, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 2, 0, 0, 0, 0, 0, 24, 0, 16, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -24, 0, 16, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 8, 0, 40, 0, 0, 0, -6, 0, -8, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 16, 0, 32, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -44, 0, -24, 0, 0, 0, 24, 0, 4, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 6, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, -20, 0, 0, 0, -32, 0, 16, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -24, 0, -4, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, -48, 0, 24, 0, 0, 0, -8, 0, 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0, 0, 0, 0, 0, 0, -32, 0, 16, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -208, 0, 0, 0, 0, 0, -72, 0, 24, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 40, 0, -120, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -128, 0, 0, 0, 0, 0, -48, 0, 192, 0, 0, 0, 272, 0, 0, 0, 0, 0, 0, 0, 36, 0, 40, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, -152, 0, -48, 0, 0, 0, 144, 0, -320, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 40, 0, -12, 0, 0, 0, 0, 0, 0, 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], [0, 2], [0, 0], [0, 1], [0, 0], [0, -2], [0, 0], [5, 0], [0, 0], [0, -2], [0, 0], [4, 0], [0, 0], [4, 0], [0, 0], [0, 0], [0, 0], [8, 0], [0, 0], [-8, 0], [0, 0], [0, 2], [0, 0], [-3, 0], [0, 0], [0, 4], [0, 0], [0, 3], [0, 0], [0, 6], [0, 0], [-8, 0], [0, 0], [-4, 0], [0, 0], [0, -5], [0, 0], [0, 8], [0, 0], [0, -1], [0, 0], [8, 0], [0, 0], [0, 5], [0, 0], [0, 0], [0, 0], [1, 0], [0, 0], [0, 0], [0, 0], [-12, 0], [0, 0], [-4, 0], [0, 0], [0, 16], [0, 0], [8, 0], [0, 0], [0, 1], [0, 0], [0, -10], [0, 0], [0, 4], [0, 0], [12, 0], [0, 0], [8, 0], [0, 0], [0, -6], [0, 0], [0, 3], [0, 0], [0, -6], [0, 0], [8, 0], [0, 0], [0, -2], [0, 0], [1, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [12, 0], [0, 0], [8, 0], [0, 0], [0, -8], [0, 0], [24, 0], [0, 0], [0, 8], [0, 0], [0, -3], [0, 0], [0, -10], [0, 0]], 'ap': [[0, 0], [0, 2], [0, 1], [0, -2], [0, -2], [4, 0], [0, 0], [8, 0], [0, 2], [0, 3], [0, 6], [0, -5], [0, -1], [8, 0], [0, 0], [-12, 0], [8, 0], [0, 1], [12, 0], [0, -6], [0, 3], [0, -2], [0, 0], [8, 0], [0, -3], [-12, 0], [8, 0], [0, -2], [0, -3], [0, 7], [-4, 0], [0, 2], [16, 0], [0, -2], [-22, 0], [-12, 0], [2, 0], [0, -6], [0, -10], [0, -11], [0, 0], [0, -5], [8, 0], [0, -3], [0, -13], [0, -6], [0, -6], [-4, 0], [0, 14], [18, 0], [0, 5], [0, 0], [0, -19], [4, 0], [22, 0], [4, 0], [0, -5], [-8, 0], [0, 15], [-16, 0], [0, -10], [-26, 0], [-12, 0], [0, 18], [0, -9], [0, -15], [-32, 0], [0, 25], [0, -18], [20, 0], [2, 0], [4, 0], [0, -10], [12, 0], [0, 2], [36, 0], [-2, 0], [0, -9], [0, 11], [-10, 0], [0, -6], [20, 0], [0, 6], [10, 0], [0, 18], [12, 0], [0, 13], [14, 0], [20, 0], [0, 0], [-8, 0], [0, -22], [0, 14], [-24, 0], [0, 6], [0, -14], [-30, 0], [0, -31], [36, 0], [0, 7], [0, -2], [-20, 0], [-24, 0], [-24, 0], [0, -30], [8, 0], [0, 0], [0, 0], [-32, 0], [0, -27], [0, -14], [38, 0], [0, -3], [0, 14], [28, 0], [0, 5], [0, -6], [-16, 0], [0, -5], [-4, 0], [-28, 0], [0, -3], [0, 13], [0, -2], [0, 18], [12, 0], [0, 15], [0, -14], [-8, 0], [12, 0], [32, 0], [0, -26], [0, 30], [-14, 0], [0, 0], [16, 0], [30, 0], [0, 30], [-36, 0], [0, 1], [0, 6], [0, -29], [0, -10], [0, -14], [-30, 0], [0, -14], [0, 23], [0, 15], [48, 0], [16, 0], [0, 29], [0, -23], [44, 0], [0, -34], [0, 14], [0, 34], [-16, 0], [0, 37], [-16, 0], [0, 33], [0, -18], [-48, 0], [-28, 0], [24, 0], [8, 0], [0, 34], [0, -6], [0, 5], [0, 3], [0, -27], [-20, 0], [28, 0], [0, 14], [56, 0], [-52, 0], [0, -29], [0, 18], [0, 13], [-4, 0], [10, 0], [-40, 0], [0, -6], [0, 45], [-32, 0], [44, 0], [36, 0], [0, -23], [4, 0], [0, -7], [0, 42], [0, -39], [0, -30], [-32, 0], [-58, 0], [0, -10], [0, 21], [0, -9], [0, 9], [0, 15], [-24, 0], [0, 41], [0, 18], [22, 0], [-10, 0], [52, 0], [54, 0], [0, 0], [40, 0], [0, 13], [60, 0], [0, 37], [-30, 0], [0, 46], [72, 0], [0, 26], [0, -9], [16, 0], [-66, 0], [0, 26], [-36, 0], [-26, 0], [0, 2], [40, 0], [0, -26], [-52, 0], [-12, 0], [0, -37], [0, 2], [-52, 0], [0, 6], [68, 0], [0, 2], [12, 0], [-66, 0], [-28, 0], [-12, 0], [0, -29], [0, 35], [0, 10], [4, 0], [0, 46], [52, 0], [64, 0], [-22, 0], [0, -1], [0, -14], [0, -18], [0, 46], [16, 0], [-44, 0], [-34, 0], [0, 15], [-36, 0], [0, 13], [-70, 0], [4, 0], [0, -19], [0, -22], [0, -13], [30, 0], [0, -14], [52, 0], [0, -51], [0, -21], [0, -5], [28, 0], [-20, 0], [6, 0], [0, -14], [6, 0], [0, 3], [-4, 0], [16, 0], [-76, 0], [0, 0], [-4, 0], [-40, 0], [-28, 0], [56, 0], [8, 0], [24, 0], [0, 58], [0, 6], [-60, 0], [0, 2], [72, 0], [0, 19], [0, 45], [-28, 0], [-54, 0], [0, -19], [0, 2], [-50, 0], [0, -14], [0, -15], [0, -37], [-64, 0], [-36, 0], [0, -34], [-48, 0], [32, 0], [6, 0], [0, 22], [0, -26], [0, -6], [0, 51], [-44, 0], [0, 47], [80, 0], [70, 0], [0, -18], [0, 33], [0, 5], [-64, 0], [32, 0], [16, 0], [-16, 0], [0, -14], [0, -7], [14, 0], [0, -26], [0, 55], [-30, 0], [-56, 0], [0, 57], [-88, 0], [0, -6], [0, 18], [0, 38], [0, -11], [0, -51], [0, -23], [0, -6], [-4, 0], [0, -38], [0, 10], [20, 0], [0, 65], [0, 19], [-76, 0], [-20, 0], [-24, 0], [0, 59], [-32, 0], [-44, 0], [0, 22], [0, 27], [28, 0], [0, -46], [0, -5], [-40, 0], [0, 15], [-18, 0], [0, 66], [34, 0], [-8, 0], [-76, 0], [0, -6], [0, 5], [-12, 0], [0, 19], [0, -11], [40, 0], [0, 30], [40, 0], [16, 0], [0, 43], [96, 0], [0, 33], [32, 0], [0, -42], [0, -14], [52, 0], [-24, 0], [0, -21], [0, 2], [0, -54], [-22, 0], [-72, 0], [26, 0], [0, 11], [-24, 0], [0, 18], [0, -71], [0, 30], [0, 38], [68, 0], [78, 0], [0, -14], [88, 0], [0, -33], [0, -37], [-20, 0], [20, 0], [60, 0], [0, 39], [-16, 0], [24, 0], [0, 42], [-4, 0], [0, 17], [64, 0], [104, 0], [0, -15], [38, 0], [0, 10], [6, 0], [48, 0], [16, 0], [0, -58], [0, -7], [62, 0], [84, 0], [0, 18], [-86, 0], [0, 41], [0, -22], [0, 18], [0, -59], [-104, 0], [-36, 0], [0, -57], [0, -74], [0, 0], [0, 47], [18, 0], [0, -42], [0, -43], [-76, 0], [0, -50]], 'char_orbit_index': 1, 'field_poly': [-2, 0, 1], 'hecke_orbit_code': 45035996307261704, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '2312.2.a.k', 'level': 2312, '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': [14, 20, 18, 16], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [17, 18, 18, 18], 'ALdims_old': [50, 51, 54, 48], 'Nk2': 9248, 'analytic_conductor': 18.461412947320024, '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': [2312, 1, [1735, 1157, 1737], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 271, 'dim': 68, 'eis_dim': 71, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 7], 'hecke_orbit_code': 33556744, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 6, 6, 12], 'label': '2312.2.a', 'level': 2312, '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, 17], 'level_radical': 34, 'mf_dim': 342, 'mf_new_dim': 68, 'num_forms': 23, 'plus_dim': 30, 'prim_orbit_index': 1, 'relative_dim': 68, 'sturm_bound': 612, 'trace_bound': 15, 'trace_display': [0, 2, -2, 0], 'traces': [68, 0, 2, 0, -2, 0, 0, 0, 64, 0, 2, 0, 4, 0, 0, 0, 0, 0, 0, 0, 12, 0, -12, 0, 80, 0, 20, 0, 6, 0, 8, 0, 0, 0, -4, 0, 2, 0, -4, 0, -4, 0, 16, 0, -10, 0, 0, 0, 84, 0, 0, 0, 8, 0, -28, 0, 8, 0, -8, 0, -22, 0, -24, 0, 4, 0, 0, 0, 4, 0, -28, 0, 0, 0, 6, 0, -36, 0, 4, 0, 76, 0, -32, 0, 0, 0, -28, 0, 28, 0, 24, 0, -4, 0, 8, 0, 12, 0, -22, 0, -16, 0, 12, 0, 32, 0, 30, 0, -26, 0, 60, 0, -16, 0, 0, 0, 36, 0, 0, 0, 68, 0, -20, 0, 12, 0, -4, 0, -64, 0, -10, 0, -16, 0, 48, 0, 16, 0, -2, 0, -16, 0, 44, 0, -40, 0, 26, 0, -16, 0, -24, 0, 0, 0, 12, 0, 4, 0, -44, 0, -8, 0, 46, 0, 48, 0, 40, 0, 56, 0, -20, 0, 14, 0, 0, 0, -16, 0, -4, 0, 2, 0, -36, 0, 12, 0, 0, 0, 48, 0, -20, 0, 4, 0, -48, 0, -6, 0, -4, 0, -32, 0, -32, 0, -32, 0, -36, 0, -24, 0, 2, 0, -24, 0, 8, 0, 16, 0, -48, 0, 0, 0, -40, 0, 100, 0, 6, 0, 40, 0, 56, 0, 16, 0, -16, 0, -28, 0, 16, 0, 20, 0, 22, 0, -2, 0, 60, 0, 16, 0, 4, 0, 16, 0, 0, 0, 24, 0, -20, 0, -2, 0, 16, 0, -12, 0, -84, 0, 14, 0, 28, 0, -56, 0, 6, 0, -42, 0, 32, 0, -28, 0, 42, 0, 36, 0, -20, 0, 0, 0, 56, 0, -108, 0, -56, 0, 72, 0, 32, 0, 16, 0, 60, 0, -112, 0, 8, 0, 0, 0, 40, 0, -12, 0, -36, 0, -46, 0, -56, 0, 40, 0, 0, 0, -176, 0, 12, 0, 32, 0, -20, 0, -70, 0, 56, 0, 32, 0, -8, 0, 36, 0, -24, 0, 0, 0, -10, 0, 12, 0, -72, 0, -160, 0, -4, 0, 0, 0, -88, 0, 80, 0, 74, 0, -48, 0, -12, 0, -12, 0, -16, 0, -32, 0, 16, 0, 20, 0, -6, 0, -32, 0, 64, 0, 0, 0, 72, 0, -116, 0, 0, 0, -64, 0, -24, 0, -14, 0, 44, 0, -20, 0, -72, 0, -66, 0, 16, 0, 32, 0, -12, 0, -16, 0, -8, 0, -4, 0, 38, 0, 24, 0, 68, 0, 0, 0, 92, 0, -36, 0, -44, 0, -172, 0, 48, 0, -32, 0, -4, 0, 64, 0, 32, 0, 28, 0, -20, 0, -52, 0, -56, 0, 0, 0, 60, 0, -28, 0, 0, 0, 44, 0, -4, 0, -32, 0, -32, 0, 32, 0, 92, 0, -32, 0, -8, 0, 40, 0, -68, 0, 44, 0, 8, 0, -136, 0, -92, 0, 4, 0, -24, 0, 0, 0, -84, 0, -12, 0, 106, 0, 20, 0, -76, 0, 20, 0, -50, 0, 60, 0, 4, 0, 16, 0, 48, 0, 48, 0, 56, 0, -12, 0, 4, 0, 20, 0, 0, 0, 100, 0, 20, 0, 48, 0, -44, 0, 40, 0, -22, 0, 82, 0, 88, 0, -160, 0, 30, 0, 66, 0, 8, 0, 8, 0, 48, 0, -16, 0, -8, 0, 0, 0, 48, 0, -12, 0, -104, 0, 4, 0, -10, 0, 0, 0, 28, 0, 4, 0, -316, 0, -16, 0, -76, 0, 84, 0, -340, 0, 48, 0, -88, 0, -20, 0, 0, 0, -44, 0, -4, 0, -32, 0, -260, 0, 70, 0, 48, 0, 64, 0, -132, 0, -196, 0, 32, 0, -96, 0, -2, 0, 40, 0, 24, 0, 108, 0, -284, 0, 0, 0, -28, 0, 8, 0, 16, 0, -8, 0, -36, 0, -84, 0, -46, 0, -8, 0, -64, 0, -48, 0, -40, 0, -50, 0, 0, 0, 56, 0, -260, 0, -68, 0, 0, 0, -20, 0, 84, 0, -32, 0, 108, 0, -12, 0, -36, 0, -54, 0, 24, 0, 36, 0, 106, 0, 60, 0, -60, 0, -80, 0, 26, 0, -96, 0, 56, 0, 0, 0, -144, 0, 0, 0, -72, 0, -68, 0, -40, 0, 14, 0, 44, 0, 16, 0, -8, 0, -96, 0, -4, 0, 32, 0, -148, 0, -6, 0, -56, 0, -8, 0, 0, 0, 20, 0, 20, 0, 32, 0, 24, 0, 48, 0, 64, 0, -44, 0, -424, 0, -44, 0, 36, 0, 128, 0, -64, 0, -28, 0, -56, 0, -88, 0, 8, 0, 0, 0, -72, 0, -24, 0, 164, 0, -72, 0, -40, 0, 32, 0, -16, 0, -44, 0, 56, 0, -28, 0, -26, 0, 112, 0, 48, 0, -36, 0, -4, 0, -36, 0, 0, 0, 88, 0, -324, 0, -48, 0, -16, 0, 100, 0, 10, 0, 96, 0, 44, 0, 0, 0, 104, 0, -150, 0, 36, 0, 72, 0, 58, 0, 56, 0, 116, 0, 0, 0, 72, 0, -88, 0, -96, 0, 84, 0, -68, 0, -46, 0, 40, 0, -8, 0, -60, 0, -42, 0, -56, 0, 68, 0, -88, 0, 48, 0, 100, 0, -136, 0, 0, 0, -24, 0, 612, 0, 4, 0, 0, 0, -10, 0, 44, 0, -8, 0, 576, 0, 36, 0, -12, 0, 32, 0, -126, 0, 100, 0, -24, 0, 52, 0, 32, 0, 0, 0, 512, 0, -68, 0, 146, 0, -152, 0, -120, 0, -16, 0, -144, 0, 136, 0, 88, 0, -104, 0, 48, 0, -18, 0, -16, 0, -20, 0, 564, 0, -176, 0, 0, 0, -120, 0, -156, 0, -22, 0, -20, 0, 64, 0, 70, 0, -40, 0, 116, 0, 36, 0, 16, 0, 144, 0, 56, 0, 128, 0, -42, 0, -208, 0, 636, 0, 0, 0, -20, 0, 32, 0, -44, 0, -92, 0, -36, 0, -66, 0, 4, 0, -8, 0, -60, 0, 48, 0, -20, 0, -80, 0, -48, 0, -22, 0, 20, 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: 915981
    {'conductor': 17, 'degree': 4, 'multiplicity': 2, 'order': 8, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '2312.2.a.k', 'source_level': 2312, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '136.2.k.d', 'target_level': 136, 'twist_class_label': '136.2.k.d', 'twist_class_level': 136, 'twisting_char_label': '17.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 915982
    {'conductor': 68, 'degree': 4, 'multiplicity': 2, 'order': 8, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '2312.2.a.k', 'source_level': 2312, 'target_char_orbit': 15, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '272.2.o.a', 'target_level': 272, 'twist_class_label': '136.2.k.d', 'twist_class_level': 136, 'twisting_char_label': '68.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 915983
    {'conductor': 136, 'degree': 4, 'multiplicity': 2, 'order': 8, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '2312.2.a.k', 'source_level': 2312, 'target_char_orbit': 15, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '1088.2.o.b', 'target_level': 1088, 'twist_class_label': '136.2.k.d', 'twist_class_level': 136, 'twisting_char_label': '136.o', 'twisting_char_orbit': 15, 'weight': 2}
  • id: 915984
    {'conductor': 136, 'degree': 4, 'multiplicity': 2, 'order': 8, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '2312.2.a.k', 'source_level': 2312, 'target_char_orbit': 15, 'target_dim': 2, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '1088.2.o.q', 'target_level': 1088, 'twist_class_label': '136.2.k.d', 'twist_class_level': 136, 'twisting_char_label': '136.p', 'twisting_char_orbit': 16, 'weight': 2}
  • id: 915985
    {'conductor': 51, 'degree': 4, 'multiplicity': 2, 'order': 8, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '2312.2.a.k', 'source_level': 2312, 'target_char_orbit': 23, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '1224.2.w.e', 'target_level': 1224, 'twist_class_label': '136.2.k.d', 'twist_class_level': 136, 'twisting_char_label': '51.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 915986
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '2312.2.a.k', 'source_level': 2312, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '2312.2.a.k', 'target_level': 2312, 'twist_class_label': '136.2.k.d', 'twist_class_level': 136, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 915987
    {'conductor': 17, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '2312.2.a.k', 'source_level': 2312, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '2312.2.a.k', 'target_level': 2312, 'twist_class_label': '136.2.k.d', 'twist_class_level': 136, 'twisting_char_label': '17.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 915988
    {'conductor': 17, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '2312.2.a.k', 'source_level': 2312, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '2312.2.b.a', 'target_level': 2312, 'twist_class_label': '136.2.k.d', 'twist_class_level': 136, 'twisting_char_label': '17.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 915989
    {'conductor': 204, 'degree': 4, 'multiplicity': 2, 'order': 8, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '2312.2.a.k', 'source_level': 2312, 'target_char_orbit': 31, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '2448.2.be.i', 'target_level': 2448, 'twist_class_label': '136.2.k.d', 'twist_class_level': 136, 'twisting_char_label': '204.p', 'twisting_char_orbit': 16, 'weight': 2}
  • id: 915990
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '2312.2.a.k', 'source_level': 2312, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 20, 'target_is_minimal': False, 'target_label': '4624.2.a.t', 'target_level': 4624, 'twist_class_label': '136.2.k.d', 'twist_class_level': 136, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 915991
    {'conductor': 68, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '2312.2.a.k', 'source_level': 2312, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 20, 'target_is_minimal': False, 'target_label': '4624.2.a.t', 'target_level': 4624, 'twist_class_label': '136.2.k.d', 'twist_class_level': 136, 'twisting_char_label': '68.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2494950
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996307261704, 'p': 2}
  • id: 2494951
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 45035996307261704, 'p': 3}
  • id: 2494952
    {'charpoly_factorization': [[[-2, 0, 1], 1]], 'hecke_orbit_code': 45035996307261704, 'p': 5}
  • id: 2494953
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 45035996307261704, 'p': 7}
  • id: 2494954
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 45035996307261704, 'p': 11}
  • id: 2494955
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 45035996307261704, 'p': 13}
  • id: 2494956
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996307261704, 'p': 17}
  • id: 2494957
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 45035996307261704, 'p': 19}
  • id: 2494958
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 45035996307261704, 'p': 23}
  • id: 2494959
    {'charpoly_factorization': [[[-18, 0, 1], 1]], 'hecke_orbit_code': 45035996307261704, 'p': 29}
  • id: 2494960
    {'charpoly_factorization': [[[-72, 0, 1], 1]], 'hecke_orbit_code': 45035996307261704, 'p': 31}
  • id: 2494961
    {'charpoly_factorization': [[[-50, 0, 1], 1]], 'hecke_orbit_code': 45035996307261704, 'p': 37}
  • id: 2494962
    {'charpoly_factorization': [[[-2, 0, 1], 1]], 'hecke_orbit_code': 45035996307261704, 'p': 41}
  • id: 2494963
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 45035996307261704, 'p': 43}
  • id: 2494964
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996307261704, 'p': 47}
  • id: 2494965
    {'charpoly_factorization': [[[12, 1], 2]], 'hecke_orbit_code': 45035996307261704, 'p': 53}
  • id: 2494966
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 45035996307261704, 'p': 59}
  • id: 2494967
    {'charpoly_factorization': [[[-2, 0, 1], 1]], 'hecke_orbit_code': 45035996307261704, 'p': 61}
  • id: 2494968
    {'charpoly_factorization': [[[-12, 1], 2]], 'hecke_orbit_code': 45035996307261704, 'p': 67}
  • id: 2494969
    {'charpoly_factorization': [[[-72, 0, 1], 1]], 'hecke_orbit_code': 45035996307261704, 'p': 71}
  • id: 2494970
    {'charpoly_factorization': [[[-18, 0, 1], 1]], 'hecke_orbit_code': 45035996307261704, 'p': 73}
  • id: 2494971
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 45035996307261704, 'p': 79}
  • id: 2494972
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996307261704, 'p': 83}
  • id: 2494973
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 45035996307261704, 'p': 89}
  • id: 2494974
    {'charpoly_factorization': [[[-18, 0, 1], 1]], 'hecke_orbit_code': 45035996307261704, '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': '2312.2.a.k', 'level': 2312, '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: 54251443
    {'hecke_orbit_code': 45035996307261704, 'n': 1, 'trace_an': 2}
  • id: 54251444
    {'hecke_orbit_code': 45035996307261704, 'n': 2, 'trace_an': 0}
  • id: 54251445
    {'hecke_orbit_code': 45035996307261704, 'n': 3, 'trace_an': 0}
  • id: 54251446
    {'hecke_orbit_code': 45035996307261704, 'n': 4, 'trace_an': 0}
  • id: 54251447
    {'hecke_orbit_code': 45035996307261704, 'n': 5, 'trace_an': 0}
  • id: 54251448
    {'hecke_orbit_code': 45035996307261704, 'n': 6, 'trace_an': 0}
  • id: 54251449
    {'hecke_orbit_code': 45035996307261704, 'n': 7, 'trace_an': 0}
  • id: 54251450
    {'hecke_orbit_code': 45035996307261704, 'n': 8, 'trace_an': 0}
  • id: 54251451
    {'hecke_orbit_code': 45035996307261704, 'n': 9, 'trace_an': 10}
  • id: 54251452
    {'hecke_orbit_code': 45035996307261704, 'n': 10, 'trace_an': 0}
  • id: 54251453
    {'hecke_orbit_code': 45035996307261704, 'n': 11, 'trace_an': 0}
  • id: 54251454
    {'hecke_orbit_code': 45035996307261704, 'n': 12, 'trace_an': 0}
  • id: 54251455
    {'hecke_orbit_code': 45035996307261704, 'n': 13, 'trace_an': 8}
  • id: 54251456
    {'hecke_orbit_code': 45035996307261704, 'n': 14, 'trace_an': 0}
  • id: 54251457
    {'hecke_orbit_code': 45035996307261704, 'n': 15, 'trace_an': 8}
  • id: 54251458
    {'hecke_orbit_code': 45035996307261704, 'n': 16, 'trace_an': 0}
  • id: 54251459
    {'hecke_orbit_code': 45035996307261704, 'n': 17, 'trace_an': 0}
  • id: 54251460
    {'hecke_orbit_code': 45035996307261704, 'n': 18, 'trace_an': 0}
  • id: 54251461
    {'hecke_orbit_code': 45035996307261704, 'n': 19, 'trace_an': 16}
  • id: 54251462
    {'hecke_orbit_code': 45035996307261704, 'n': 20, 'trace_an': 0}
  • id: 54251463
    {'hecke_orbit_code': 45035996307261704, 'n': 21, 'trace_an': -16}
  • id: 54251464
    {'hecke_orbit_code': 45035996307261704, 'n': 22, 'trace_an': 0}
  • id: 54251465
    {'hecke_orbit_code': 45035996307261704, 'n': 23, 'trace_an': 0}
  • id: 54251466
    {'hecke_orbit_code': 45035996307261704, 'n': 24, 'trace_an': 0}
  • id: 54251467
    {'hecke_orbit_code': 45035996307261704, 'n': 25, 'trace_an': -6}
  • id: 54251468
    {'hecke_orbit_code': 45035996307261704, 'n': 26, 'trace_an': 0}
  • id: 54251469
    {'hecke_orbit_code': 45035996307261704, 'n': 27, 'trace_an': 0}
  • id: 54251470
    {'hecke_orbit_code': 45035996307261704, 'n': 28, 'trace_an': 0}
  • id: 54251471
    {'hecke_orbit_code': 45035996307261704, 'n': 29, 'trace_an': 0}
  • id: 54251472
    {'hecke_orbit_code': 45035996307261704, 'n': 30, 'trace_an': 0}
  • id: 54251473
    {'hecke_orbit_code': 45035996307261704, 'n': 31, 'trace_an': 0}
  • id: 54251474
    {'hecke_orbit_code': 45035996307261704, 'n': 32, 'trace_an': 0}
  • id: 54251475
    {'hecke_orbit_code': 45035996307261704, 'n': 33, 'trace_an': -16}
  • id: 54251476
    {'hecke_orbit_code': 45035996307261704, 'n': 34, 'trace_an': 0}
  • id: 54251477
    {'hecke_orbit_code': 45035996307261704, 'n': 35, 'trace_an': -8}
  • id: 54251478
    {'hecke_orbit_code': 45035996307261704, 'n': 36, 'trace_an': 0}
  • id: 54251479
    {'hecke_orbit_code': 45035996307261704, 'n': 37, 'trace_an': 0}
  • id: 54251480
    {'hecke_orbit_code': 45035996307261704, 'n': 38, 'trace_an': 0}
  • id: 54251481
    {'hecke_orbit_code': 45035996307261704, 'n': 39, 'trace_an': 0}
  • id: 54251482
    {'hecke_orbit_code': 45035996307261704, 'n': 40, 'trace_an': 0}
  • id: 54251483
    {'hecke_orbit_code': 45035996307261704, 'n': 41, 'trace_an': 0}
  • id: 54251484
    {'hecke_orbit_code': 45035996307261704, 'n': 42, 'trace_an': 0}
  • id: 54251485
    {'hecke_orbit_code': 45035996307261704, 'n': 43, 'trace_an': 16}
  • id: 54251486
    {'hecke_orbit_code': 45035996307261704, 'n': 44, 'trace_an': 0}
  • id: 54251487
    {'hecke_orbit_code': 45035996307261704, 'n': 45, 'trace_an': 0}
  • id: 54251488
    {'hecke_orbit_code': 45035996307261704, 'n': 46, 'trace_an': 0}
  • id: 54251489
    {'hecke_orbit_code': 45035996307261704, 'n': 47, 'trace_an': 0}
  • id: 54251490
    {'hecke_orbit_code': 45035996307261704, 'n': 48, 'trace_an': 0}
  • id: 54251491
    {'hecke_orbit_code': 45035996307261704, 'n': 49, 'trace_an': 2}
  • id: 54251492
    {'hecke_orbit_code': 45035996307261704, 'n': 50, 'trace_an': 0}
  • id: 54251493
    {'hecke_orbit_code': 45035996307261704, 'n': 51, 'trace_an': 0}
  • id: 54251494
    {'hecke_orbit_code': 45035996307261704, 'n': 52, 'trace_an': 0}
  • id: 54251495
    {'hecke_orbit_code': 45035996307261704, 'n': 53, 'trace_an': -24}
  • id: 54251496
    {'hecke_orbit_code': 45035996307261704, 'n': 54, 'trace_an': 0}
  • id: 54251497
    {'hecke_orbit_code': 45035996307261704, 'n': 55, 'trace_an': -8}
  • id: 54251498
    {'hecke_orbit_code': 45035996307261704, 'n': 56, 'trace_an': 0}
  • id: 54251499
    {'hecke_orbit_code': 45035996307261704, 'n': 57, 'trace_an': 0}
  • id: 54251500
    {'hecke_orbit_code': 45035996307261704, 'n': 58, 'trace_an': 0}
  • id: 54251501
    {'hecke_orbit_code': 45035996307261704, 'n': 59, 'trace_an': 16}
  • id: 54251502
    {'hecke_orbit_code': 45035996307261704, 'n': 60, 'trace_an': 0}
  • id: 54251503
    {'hecke_orbit_code': 45035996307261704, 'n': 61, 'trace_an': 0}
  • id: 54251504
    {'hecke_orbit_code': 45035996307261704, 'n': 62, 'trace_an': 0}
  • id: 54251505
    {'hecke_orbit_code': 45035996307261704, 'n': 63, 'trace_an': 0}
  • id: 54251506
    {'hecke_orbit_code': 45035996307261704, 'n': 64, 'trace_an': 0}
  • id: 54251507
    {'hecke_orbit_code': 45035996307261704, 'n': 65, 'trace_an': 0}
  • id: 54251508
    {'hecke_orbit_code': 45035996307261704, 'n': 66, 'trace_an': 0}
  • id: 54251509
    {'hecke_orbit_code': 45035996307261704, 'n': 67, 'trace_an': 24}
  • id: 54251510
    {'hecke_orbit_code': 45035996307261704, 'n': 68, 'trace_an': 0}
  • id: 54251511
    {'hecke_orbit_code': 45035996307261704, 'n': 69, 'trace_an': 16}
  • id: 54251512
    {'hecke_orbit_code': 45035996307261704, 'n': 70, 'trace_an': 0}
  • id: 54251513
    {'hecke_orbit_code': 45035996307261704, 'n': 71, 'trace_an': 0}
  • id: 54251514
    {'hecke_orbit_code': 45035996307261704, 'n': 72, 'trace_an': 0}
  • id: 54251515
    {'hecke_orbit_code': 45035996307261704, 'n': 73, 'trace_an': 0}
  • id: 54251516
    {'hecke_orbit_code': 45035996307261704, 'n': 74, 'trace_an': 0}
  • id: 54251517
    {'hecke_orbit_code': 45035996307261704, 'n': 75, 'trace_an': 0}
  • id: 54251518
    {'hecke_orbit_code': 45035996307261704, 'n': 76, 'trace_an': 0}
  • id: 54251519
    {'hecke_orbit_code': 45035996307261704, 'n': 77, 'trace_an': 16}
  • id: 54251520
    {'hecke_orbit_code': 45035996307261704, 'n': 78, 'trace_an': 0}
  • id: 54251521
    {'hecke_orbit_code': 45035996307261704, 'n': 79, 'trace_an': 0}
  • id: 54251522
    {'hecke_orbit_code': 45035996307261704, 'n': 80, 'trace_an': 0}
  • id: 54251523
    {'hecke_orbit_code': 45035996307261704, 'n': 81, 'trace_an': 2}
  • id: 54251524
    {'hecke_orbit_code': 45035996307261704, 'n': 82, 'trace_an': 0}
  • id: 54251525
    {'hecke_orbit_code': 45035996307261704, 'n': 83, 'trace_an': 0}
  • id: 54251526
    {'hecke_orbit_code': 45035996307261704, 'n': 84, 'trace_an': 0}
  • id: 54251527
    {'hecke_orbit_code': 45035996307261704, 'n': 85, 'trace_an': 0}
  • id: 54251528
    {'hecke_orbit_code': 45035996307261704, 'n': 86, 'trace_an': 0}
  • id: 54251529
    {'hecke_orbit_code': 45035996307261704, 'n': 87, 'trace_an': 24}
  • id: 54251530
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  • id: 54251531
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  • id: 54251535
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  • id: 54251544
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  • id: 54251546
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  • id: 54251550
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  • id: 54251553
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  • id: 54251564
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  • id: 54251578
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  • id: 54251579
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  • id: 54251581
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  • id: 54251583
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  • id: 54251586
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  • id: 54251591
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  • id: 54251600
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  • id: 54251602
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  • id: 54251603
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  • id: 54251604
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  • id: 54251608
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  • id: 54251610
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  • id: 54251611
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  • id: 54251612
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  • id: 54251613
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  • id: 54251614
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  • id: 54251615
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  • id: 54251616
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  • id: 54251617
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  • id: 54251618
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  • id: 54251619
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  • id: 54251620
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  • id: 54251621
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  • id: 54251622
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  • id: 54251623
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  • id: 54251624
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  • id: 54251625
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  • id: 54251626
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  • id: 54251627
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  • id: 54251628
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  • id: 54251629
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  • id: 54251630
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  • id: 54251631
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  • id: 54251632
    {'hecke_orbit_code': 45035996307261704, 'n': 569, 'trace_an': -48}
  • id: 54251633
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  • id: 54251634
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  • id: 54251635
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  • id: 54251636
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  • id: 54251637
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  • id: 54251638
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  • id: 54251639
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  • id: 54251640
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  • id: 54251641
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  • id: 54251642
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  • id: 54251643
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  • id: 54251644
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  • id: 54251645
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  • id: 54251646
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  • id: 54251647
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  • id: 54251648
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  • id: 54251649
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  • id: 54251650
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  • id: 54251651
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  • id: 54251655
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  • id: 54251656
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  • id: 54251657
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  • id: 54251658
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  • id: 54251659
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  • id: 54251660
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  • id: 54251661
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  • id: 54251662
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  • id: 54251664
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  • id: 54251665
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  • id: 54251666
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  • id: 54251667
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  • id: 54251668
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  • id: 54251669
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  • id: 54251670
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  • id: 54251671
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  • id: 54251675
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  • id: 54251676
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  • id: 54251677
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  • id: 54251678
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  • id: 54251679
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  • id: 54251680
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  • id: 54251681
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  • id: 54251682
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  • id: 54251683
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  • id: 54251684
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  • id: 54251686
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  • id: 54251687
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  • id: 54251688
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  • id: 54251689
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  • id: 54251690
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  • id: 54251691
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  • id: 54251692
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  • id: 54251693
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  • id: 54251694
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  • id: 54251695
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  • id: 54251696
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  • id: 54251697
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  • id: 54251698
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