Newform data - 1656.2.a.i

Formats: - HTML - YAML - JSON - 2026-10-08T12:23:30.223048

• 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': 6624, 'analytic_conductor': 13.223226574724032, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [23, 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': [1656, 1, [415, 829, 1289, 649], [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': [[5, [-4, 1]], [7, [-2, 1]], [11, [-4, 1]], [13, [5, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797052520056, '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': '1656.2.a.i', 'level': 1656, '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, 23], 'level_radical': 138, 'minimal_twist': '184.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+4q^{5}+2q^{7}+4q^{11}-5q^{13}+2q^{17}+\\cdots', 'related_objects': ['EllipticCurve/Q/1656/i'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1656.2.a', 'trace_display': [0, 0, 4, 2], 'trace_hash': 1817081684910678519, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.023', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.004', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.065', 'prec': 7}, {'__RealLiteral__': 0, 'data': '2.038', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.202', 'prec': 10}, {'__RealLiteral__': 0, 'data': '5.193', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.010', 'prec': 7}, 'traces': [1, 0, 0, 0, 4, 0, 2, 0, 0, 0, 4, 0, -5, 0, 0, 0, 2, 0, 6, 0, 0, 0, -1, 0, 11, 0, 0, 0, -1, 0, -9, 0, 0, 0, 8, 0, -4, 0, 0, 0, -3, 0, 8, 0, 0, 0, 5, 0, -3, 0, 0, 0, -6, 0, 16, 0, 0, 0, 4, 0, -10, 0, 0, 0, -20, 0, -4, 0, 0, 0, 5, 0, -15, 0, 0, 0, 8, 0, -6, 0, 0, 0, -6, 0, 8, 0, 0, 0, 8, 0, -10, 0, 0, 0, 24, 0, 10, 0, 0, 0, 10, 0, 10, 0, 0, 0, -6, 0, 0, 0, 0, 0, -6, 0, -4, 0, 0, 0, 4, 0, 5, 0, 0, 0, 24, 0, -7, 0, 0, 0, 21, 0, 12, 0, 0, 0, -4, 0, 5, 0, 0, 0, -20, 0, -4, 0, 0, 0, 18, 0, 11, 0, 0, 0, -36, 0, -12, 0, 0, 0, -2, 0, 25, 0, 0, 0, -12, 0, 12, 0, 0, 0, 2, 0, 22, 0, 0, 0, -1, 0, -12, 0, 0, 0, -16, 0, 8, 0, 0, 0, -12, 0, 1, 0, 0, 0, -21, 0, 16, 0, 0, 0, -2, 0, -12, 0, 0, 0, 24, 0, -16, 0, 0, 0, 32, 0, -18, 0, 0, 0, -10, 0, -16, 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0, 24, 0, 135, 0, 0, 0, -17, 0, 8, 0, 0, 0, -82, 0, -110, 0, 0, 0, -48, 0, -37, 0, 0, 0, 40, 0, 32, 0, 0, 0, 6, 0, -29, 0, 0, 0, 80, 0, 30, 0, 0, 0, -15, 0, 28, 0, 0, 0, 30, 0, -50, 0, 0, 0, -32, 0, -46, 0, 0, 0, -64, 0, -10, 0, 0, 0, 5, 0, -8, 0, 0, 0, -16, 0, -88, 0, 0, 0, -56, 0, 35, 0, 0, 0, -32, 0, -28, 0, 0, 0, 50, 0, 60, 0, 0, 0, 12, 0, -32, 0, 0, 0, 10, 0, 128, 0, 0, 0, -10, 0, -45, 0, 0, 0, 144, 0, 41, 0, 0, 0, -6, 0, 86, 0, 0, 0, -72, 0, 14, 0, 0, 0, 46, 0, -72, 0, 0, 0, -14, 0, -19, 0, 0, 0, 80, 0, 6, 0, 0, 0, -20, 0, -42, 0, 0, 0, -1, 0, -12, 0, 0, 0, 96, 0, 110, 0, 0, 0, -56, 0, -40, 0, 0, 0, -44, 0, -40, 0, 0, 0, 83, 0, 2, 0, 0, 0, 35, 0, 54, 0, 0, 0, -64, 0, 44, 0, 0, 0, -12, 0, 6, 0, 0, 0, -8, 0, -79, 0, 0, 0, 6, 0, 93, 0, 0, 0, -91, 0, 16, 0, 0, 0, 60, 0, 40, 0, 0, 0, 126, 0, -30, 0, 0, 0, 44, 0, 56, 0, 0, 0, 30, 0, 16, 0, 0, 0, 0, 0, -5, 0, 0, 0, 36, 0, 88, 0, 0, 0, 112, 0, -94, 0, 0, 0, 110, 0, 34, 0, 0, 0, 63, 0, 36, 0, 0, 0, 32, 0, 52, 0, 0, 0, -79, 0, -132, 0, 0, 0, 70, 0, -4, 0, 0, 0, -120, 0, 27, 0, 0, 0, 105, 0, 36, 0, 0, 0, 22, 0, 36, 0, 0, 0, 54, 0, 110, 0, 0, 0, 87, 0, -8, 0, 0, 0, 80, 0, -80, 0, 0, 0, -16, 0, 2, 0, 0, 0, 18, 0, 6, 0, 0, 0, -24, 0, 0, 0, 0, 0, 36, 0, -16, 0, 0, 0, 24, 0, 39, 0, 0, 0, 48, 0, -80, 0, 0, 0, -20, 0, 4, 0, 0, 0, 14, 0, -72, 0, 0, 0, 10, 0, 30, 0, 0, 0, 4, 0, 4, 0, 0, 0, -64, 0, -56, 0, 0, 0, 65, 0, -82, 0, 0, 0, -5, 0, 60, 0, 0, 0, -24, 0, -55, 0, 0, 0, -66, 0, 14, 0, 0, 0, 24, 0, 56, 0, 0, 0, 2, 0, -82, 0, 0, 0, 10, 0, -48, 0, 0, 0, 29, 0, 60, 0, 0, 0, -12, 0, -28, 0, 0, 0, -58, 0, 44, 0, 0, 0, -120, 0, 8, 0, 0, 0, -40, 0, 0, 0, 0, 0, 78, 0, -2, 0, 0, 0, 36, 0, -4, 0, 0, 0, 62, 0, 80, 0, 0, 0, 12, 0, -1, 0, 0, 0, -1, 0, -24, 0, 0, 0, -72, 0, -120, 0, 0, 0, -48, 0, 58, 0, 0, 0, 50, 0, 20, 0, 0, 0, -78, 0, -50, 0, 0, 0, -5, 0, 0, 0, 0, 0, -83, 0, 75, 0, 0, 0, -160, 0, -46, 0, 0, 0, -33, 0, 2, 0, 0, 0, -24, 0, -17, 0, 0, 0, -10, 0, -48, 0, 0, 0, 12, 0, 90, 0, 0, 0, -66, 0, 84, 0, 0, 0, 108, 0, -1, 0, 0, 0, -27, 0, -24, 0, 0, 0, 72, 0, 16, 0, 0, 0, -32, 0, -58, 0, 0, 0, -104, 0, -42, 0, 0, 0, 27, 0, 34, 0, 0, 0, -50, 0, 66, 0, 0, 0, 24, 0, -24, 0, 0, 0, 0, 0, -32, 0, 0, 0, -156, 0, 40, 0, 0, 0, -12, 0, -88, 0, 0, 0, 84, 0, 80, 0, 0, 0, 0, 0, -48, 0, 0, 0, -6, 0, -15, 0, 0, 0, -96, 0, -48, 0, 0, 0, 7, 0, 24, 0, 0, 0, 96, 0, -10, 0, 0, 0, -8, 0, 52, 0, 0, 0, 36, 0, 4, 0, 0, 0, -216, 0, -4, 0, 0, 0, -70, 0, -43, 0, 0, 0, 105, 0, -84, 0, 0, 0, 102, 0, 8, 0, 0, 0, 54, 0, 75, 0, 0, 0, 44, 0, -140, 0, 0, 0, -32, 0, -72, 0, 0, 0, -10, 0, 30, 0, 0, 0, 45, 0, -160, 0, 0, 0, 33, 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], [4], [0], [2], [0], [0], [0], [4], [0], [-5], [0], [0], [0], [2], [0], [6], [0], [0], [0], [-1], [0], [11], [0], [0], [0], [-1], [0], [-9], [0], [0], [0], [8], [0], [-4], [0], [0], [0], [-3], [0], [8], [0], [0], [0], [5], [0], [-3], [0], [0], [0], [-6], [0], [16], [0], [0], [0], [4], [0], [-10], [0], [0], [0], [-20], [0], [-4], [0], [0], [0], [5], [0], [-15], [0], [0], [0], [8], [0], [-6], [0], [0], [0], [-6], [0], [8], [0], [0], [0], [8], [0], [-10], [0], [0], [0], [24], [0], [10], [0], [0], [0]], 'ap': [[0], [0], [4], [2], [4], [-5], [2], [6], [-1], [-1], [-9], [-4], [-3], [8], [5], [-6], [4], [-10], [-4], [5], [-15], [-6], [-6], [8], [10], [10], [10], [-6], [0], [-6], [-7], [21], [-4], [5], [18], [11], [-12], [25], [-12], [2], [-1], [-12], [-12], [1], [-21], [16], [-16], [-16], [14], [28], [9], [1], [-16], [-30], [21], [-22], [-21], [-8], [-7], [6], [-16], [-20], [-4], [21], [20], [18], [-23], [-16], [-28], [1], [3], [18], [18], [-8], [-28], [12], [-20], [-25], [-12], [17], [-4], [-2], [36], [4], [25], [5], [10], [10], [7], [-8], [-22], [-18], [-11], [11], [11], [22], [-33], [0], [6], [-3], [9], [0], [-12], [4], [-26], [-39], [13], [2], [-40], [29], [32], [-26], [-6], [-44], [16], [48], [-8], [-11], [9], [26], [22], [43], [-26], [31], [-28], [-18], [-14], [-16], [0], [-26], [-7], [18], [12], [24], [-25], [8], [48], [0], [-2], [22], [7], [30], [-5], [-12], [38], [6], [-46], [1], [35], [-21], [-14], [54], [12], [-15], [14], [42], [-2], [49], [-32], [6], [-19], [-34], [37], [18], [-36], [22], [48], [-58], [14], [29], [-16], [-35], [30], [-24], [5], [26], [37], [5], [2], [22], [37], [-36], [-39], [-18], [32], [14], [-30], [6], [29], [-32], [-17], [32], [-32], [-18], [-52], [16], [-44], [-4], [-12], [-29], [60], [24], [61], [20], [0], [15], [-64], [69], [61], [37], [-33], [45], [-36], [42], [-56], [24], [-53], [-21], [-8], [-27], [-5], [20], [39], [-18], [33], [-21], [-64], [39], [-46], [-60], [50], [74], [4], [-66], [12], [10], [28], [44], [73], [-5], [-48], [43], [55], [55], [66], [25], [-17], [10], [-70], [-16], [6], [-28], [-2], [62], [-66], [-17], [32], [-4], [-57], [77], [16], [4], [26], [-10], [18], [-6], [-44], [68], [14], [3], [-35], [58], [48], [42], [-15], [39], [32], [-38], [-72], [60], [63], [52], [8], [-70], [-84], [12], [34], [-54], [-20], [-18], [-26], [46], [-66], [-26], [5], [2], [38], [-27], [-29], [-3], [-6], [6], [46], [63], [40], [-37], [36], [88], [56], [-38], [-15], [-46], [22], [-19], [-74], [78], [-9], [-3], [16], [1], [44], [-2], [-71], [36], [-72], [-36], [52], [73], [-16], [-6], [-23], [37], [41], [31], [-14], [-17], [8], [-82], [-37], [32], [-29], [80], [30], [-50], [-16], [-56], [35], [-28], [50], [12], [-45], [41], [-6], [86], [14], [46], [-14], [-20], [-1], [96], [-40], [83], [35], [-12], [-79], [93], [-91], [16], [-94], [63], [52], [-79], [70], [-4], [27], [87], [-16], [2], [36], [39], [48], [14], [4], [65], [-82], [-5], [-55], [14], [56], [2], [-82], [10], [29], [-28], [-58], [44], [8], [78], [-2], [62], [-1], [-1], [58], [-78], [-83], [75], [-46], [-33], [2], [12], [-1], [-27], [72], [-58], [-42], [27], [0], [40], [84], [0], [-6], [-48], [96], [36], [-43], [105], [102], [54], [75], [33]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 36028797052520056, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '1656.2.a.i', 'level': 1656, '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': [2, 4, 4, 3, 4, 2, 4, 5], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [3, 4, 4, 4, 4, 4, 4, 4], 'ALdims_old': [25, 38, 32, 29, 26, 36, 28, 31], 'Nk2': 6624, 'analytic_conductor': 13.223226574724032, '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': [1656, 1, [415, 829, 1289, 649], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 273, 'dim': 28, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11, 13], 'hecke_orbit_code': 33556088, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 4, 4], 'label': '1656.2.a', 'level': 1656, '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, 23], 'level_radical': 138, 'mf_dim': 304, 'mf_new_dim': 28, 'num_forms': 16, 'plus_dim': 11, 'prim_orbit_index': 1, 'relative_dim': 28, 'sturm_bound': 576, 'trace_bound': 13, 'trace_display': [0, 0, -2, 0], 'traces': [28, 0, 0, 0, -2, 0, 0, 0, 0, 0, -2, 0, 4, 0, 0, 0, 8, 0, 10, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -2, 0, 0, 0, 4, 0, 52, 0, 0, 0, -6, 0, 8, 0, 0, 0, 8, 0, -6, 0, 0, 0, -8, 0, 14, 0, 0, 0, 20, 0, -8, 0, 0, 0, -24, 0, 36, 0, 0, 0, 10, 0, 12, 0, 0, 0, 24, 0, 28, 0, 0, 0, 64, 0, 0, 0, 0, 0, -32, 0, 20, 0, 0, 0, -18, 0, -38, 0, 0, 0, 36, 0, -6, 0, 0, 0, 0, 0, 24, 0, 0, 0, 36, 0, 20, 0, 0, 0, 12, 0, -16, 0, 0, 0, 4, 0, 36, 0, 0, 0, -16, 0, 16, 0, 0, 0, 34, 0, 12, 0, 0, 0, -52, 0, -18, 0, 0, 0, -8, 0, 56, 0, 0, 0, 72, 0, 8, 0, 0, 0, 28, 0, -32, 0, 0, 0, 8, 0, -18, 0, 0, 0, 20, 0, 4, 0, 0, 0, -24, 0, -20, 0, 0, 0, 0, 0, -40, 0, 0, 0, 12, 0, -48, 0, 0, 0, -12, 0, 0, 0, 0, 0, 40, 0, -20, 0, 0, 0, -60, 0, 32, 0, 0, 0, -66, 0, -22, 0, 0, 0, -44, 0, 60, 0, 0, 0, -12, 0, -72, 0, 0, 0, -2, 0, -68, 0, 0, 0, -62, 0, 2, 0, 0, 0, 24, 0, -64, 0, 0, 0, -40, 0, 4, 0, 0, 0, -16, 0, 8, 0, 0, 0, -62, 0, 16, 0, 0, 0, 44, 0, 58, 0, 0, 0, -28, 0, -52, 0, 0, 0, -22, 0, -120, 0, 0, 0, 24, 0, 8, 0, 0, 0, -76, 0, -108, 0, 0, 0, -100, 0, 20, 0, 0, 0, 28, 0, -16, 0, 0, 0, -4, 0, 60, 0, 0, 0, 52, 0, -108, 0, 0, 0, -96, 0, -16, 0, 0, 0, -28, 0, -48, 0, 0, 0, -44, 0, -64, 0, 0, 0, -84, 0, -52, 0, 0, 0, 52, 0, 32, 0, 0, 0, 48, 0, 0, 0, 0, 0, 40, 0, 2, 0, 0, 0, -84, 0, -14, 0, 0, 0, 56, 0, -32, 0, 0, 0, 86, 0, 0, 0, 0, 0, -24, 0, -4, 0, 0, 0, -64, 0, -12, 0, 0, 0, 0, 0, -60, 0, 0, 0, 48, 0, -32, 0, 0, 0, -2, 0, 10, 0, 0, 0, 80, 0, 24, 0, 0, 0, 68, 0, 40, 0, 0, 0, -10, 0, -84, 0, 0, 0, 96, 0, 60, 0, 0, 0, 28, 0, -32, 0, 0, 0, -64, 0, -88, 0, 0, 0, -24, 0, -72, 0, 0, 0, -34, 0, 88, 0, 0, 0, 148, 0, 14, 0, 0, 0, 100, 0, -96, 0, 0, 0, -12, 0, 60, 0, 0, 0, 96, 0, -84, 0, 0, 0, -172, 0, -16, 0, 0, 0, -52, 0, -68, 0, 0, 0, -104, 0, -44, 0, 0, 0, 112, 0, -44, 0, 0, 0, -20, 0, 142, 0, 0, 0, -28, 0, 28, 0, 0, 0, 52, 0, -200, 0, 0, 0, 78, 0, 0, 0, 0, 0, -4, 0, -116, 0, 0, 0, -36, 0, -88, 0, 0, 0, 6, 0, 180, 0, 0, 0, -110, 0, -36, 0, 0, 0, 24, 0, 6, 0, 0, 0, 4, 0, -96, 0, 0, 0, -160, 0, 72, 0, 0, 0, 4, 0, 112, 0, 0, 0, -44, 0, 16, 0, 0, 0, -88, 0, 32, 0, 0, 0, 94, 0, 104, 0, 0, 0, -116, 0, 46, 0, 0, 0, -56, 0, 206, 0, 0, 0, 40, 0, 80, 0, 0, 0, -76, 0, -104, 0, 0, 0, 220, 0, -52, 0, 0, 0, 76, 0, 82, 0, 0, 0, 204, 0, -136, 0, 0, 0, -68, 0, 68, 0, 0, 0, 2, 0, 114, 0, 0, 0, 192, 0, -20, 0, 0, 0, -24, 0, 24, 0, 0, 0, -86, 0, 128, 0, 0, 0, 20, 0, -20, 0, 0, 0, 92, 0, -88, 0, 0, 0, -28, 0, -92, 0, 0, 0, 82, 0, 248, 0, 0, 0, -16, 0, 162, 0, 0, 0, -24, 0, -104, 0, 0, 0, 192, 0, 200, 0, 0, 0, 32, 0, -176, 0, 0, 0, 28, 0, 10, 0, 0, 0, -60, 0, -104, 0, 0, 0, -172, 0, 180, 0, 0, 0, 208, 0, 8, 0, 0, 0, 108, 0, -26, 0, 0, 0, -76, 0, 208, 0, 0, 0, 136, 0, 72, 0, 0, 0, -130, 0, 36, 0, 0, 0, -140, 0, -28, 0, 0, 0, -196, 0, -74, 0, 0, 0, -16, 0, 68, 0, 0, 0, -10, 0, 28, 0, 0, 0, -176, 0, 32, 0, 0, 0, 56, 0, -12, 0, 0, 0, -92, 0, -164, 0, 0, 0, 32, 0, 44, 0, 0, 0, -162, 0, 84, 0, 0, 0, 24, 0, 16, 0, 0, 0, -36, 0, -24, 0, 0, 0, 134, 0, 32, 0, 0, 0, 38, 0, 104, 0, 0, 0, -124, 0, -16, 0, 0, 0, -212, 0, 220, 0, 0, 0, 0, 0, 128, 0, 0, 0, 80, 0, 132, 0, 0, 0, 156, 0, -8, 0, 0, 0, -228, 0, 68, 0, 0, 0, -72, 0, 172, 0, 0, 0, 36, 0, 68, 0, 0, 0, -172, 0, -10, 0, 0, 0, 180, 0, 44, 0, 0, 0, 228, 0, 80, 0, 0, 0, 100, 0, 142, 0, 0, 0, -8, 0, 74, 0, 0, 0, 176, 0, -148, 0, 0, 0, 158, 0, 4, 0, 0, 0, 0, 0, 180, 0, 0, 0, -132, 0, -40, 0, 0, 0, 40, 0, -32, 0, 0, 0, 104, 0, 156, 0, 0, 0, -14, 0, -44, 0, 0, 0, 72, 0, 172, 0, 0, 0, -188, 0, 16, 0, 0, 0, -30, 0, 56, 0, 0, 0, 40, 0, -20, 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: 782822
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1656.2.a.i', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '184.2.a.a', 'target_level': 184, 'twist_class_label': '184.2.a.a', 'twist_class_level': 184, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 782823
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1656.2.a.i', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '368.2.a.e', 'target_level': 368, 'twist_class_label': '184.2.a.a', 'twist_class_level': 184, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 782824
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1656.2.a.i', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '1472.2.a.e', 'target_level': 1472, 'twist_class_label': '184.2.a.a', 'twist_class_level': 184, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 782825
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1656.2.a.i', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '1472.2.a.l', 'target_level': 1472, 'twist_class_label': '184.2.a.a', 'twist_class_level': 184, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 782826
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1656.2.a.i', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '1656.2.a.i', 'target_level': 1656, 'twist_class_label': '184.2.a.a', 'twist_class_level': 184, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 782827
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1656.2.a.i', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '3312.2.a.r', 'target_level': 3312, 'twist_class_label': '184.2.a.a', 'twist_class_level': 184, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 782828
    {'conductor': 69, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1656.2.a.i', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '4232.2.a.f', 'target_level': 4232, 'twist_class_label': '184.2.a.a', 'twist_class_level': 184, 'twisting_char_label': '69.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 782829
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1656.2.a.i', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '4600.2.a.i', 'target_level': 4600, 'twist_class_label': '184.2.a.a', 'twist_class_level': 184, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 782830
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1656.2.a.i', 'source_level': 1656, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '4600.2.e.e', 'target_level': 4600, 'twist_class_label': '184.2.a.a', 'twist_class_level': 184, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 782831
    {'conductor': 276, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1656.2.a.i', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '8464.2.a.p', 'target_level': 8464, 'twist_class_label': '184.2.a.a', 'twist_class_level': 184, 'twisting_char_label': '276.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 782832
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1656.2.a.i', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '9016.2.a.k', 'target_level': 9016, 'twist_class_label': '184.2.a.a', 'twist_class_level': 184, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 782833
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1656.2.a.i', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '9200.2.a.o', 'target_level': 9200, 'twist_class_label': '184.2.a.a', 'twist_class_level': 184, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2108625
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 2}
  • id: 2108626
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 3}
  • id: 2108627
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 5}
  • id: 2108628
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 7}
  • id: 2108629
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 11}
  • id: 2108630
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 13}
  • id: 2108631
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 17}
  • id: 2108632
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 19}
  • id: 2108633
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 23}
  • id: 2108634
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 29}
  • id: 2108635
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 31}
  • id: 2108636
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 37}
  • id: 2108637
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 41}
  • id: 2108638
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 43}
  • id: 2108639
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 47}
  • id: 2108640
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 53}
  • id: 2108641
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 59}
  • id: 2108642
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 61}
  • id: 2108643
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 67}
  • id: 2108644
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 71}
  • id: 2108645
    {'charpoly_factorization': [[[15, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 73}
  • id: 2108646
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 79}
  • id: 2108647
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 83}
  • id: 2108648
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 36028797052520056, 'p': 89}
  • id: 2108649
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 36028797052520056, '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': 9, 'label': '1656.2.a.i', 'level': 1656, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 50427367
    {'hecke_orbit_code': 36028797052520056, 'n': 1, 'trace_an': 1}
  • id: 50427368
    {'hecke_orbit_code': 36028797052520056, 'n': 2, 'trace_an': 0}
  • id: 50427369
    {'hecke_orbit_code': 36028797052520056, 'n': 3, 'trace_an': 0}
  • id: 50427370
    {'hecke_orbit_code': 36028797052520056, 'n': 4, 'trace_an': 0}
  • id: 50427371
    {'hecke_orbit_code': 36028797052520056, 'n': 5, 'trace_an': 4}
  • id: 50427372
    {'hecke_orbit_code': 36028797052520056, 'n': 6, 'trace_an': 0}
  • id: 50427373
    {'hecke_orbit_code': 36028797052520056, 'n': 7, 'trace_an': 2}
  • id: 50427374
    {'hecke_orbit_code': 36028797052520056, 'n': 8, 'trace_an': 0}
  • id: 50427375
    {'hecke_orbit_code': 36028797052520056, 'n': 9, 'trace_an': 0}
  • id: 50427376
    {'hecke_orbit_code': 36028797052520056, 'n': 10, 'trace_an': 0}
  • id: 50427377
    {'hecke_orbit_code': 36028797052520056, 'n': 11, 'trace_an': 4}
  • id: 50427378
    {'hecke_orbit_code': 36028797052520056, 'n': 12, 'trace_an': 0}
  • id: 50427379
    {'hecke_orbit_code': 36028797052520056, 'n': 13, 'trace_an': -5}
  • id: 50427380
    {'hecke_orbit_code': 36028797052520056, 'n': 14, 'trace_an': 0}
  • id: 50427381
    {'hecke_orbit_code': 36028797052520056, 'n': 15, 'trace_an': 0}
  • id: 50427382
    {'hecke_orbit_code': 36028797052520056, 'n': 16, 'trace_an': 0}
  • id: 50427383
    {'hecke_orbit_code': 36028797052520056, 'n': 17, 'trace_an': 2}
  • id: 50427384
    {'hecke_orbit_code': 36028797052520056, 'n': 18, 'trace_an': 0}
  • id: 50427385
    {'hecke_orbit_code': 36028797052520056, 'n': 19, 'trace_an': 6}
  • id: 50427386
    {'hecke_orbit_code': 36028797052520056, 'n': 20, 'trace_an': 0}
  • id: 50427387
    {'hecke_orbit_code': 36028797052520056, 'n': 21, 'trace_an': 0}
  • id: 50427388
    {'hecke_orbit_code': 36028797052520056, 'n': 22, 'trace_an': 0}
  • id: 50427389
    {'hecke_orbit_code': 36028797052520056, 'n': 23, 'trace_an': -1}
  • id: 50427390
    {'hecke_orbit_code': 36028797052520056, 'n': 24, 'trace_an': 0}
  • id: 50427391
    {'hecke_orbit_code': 36028797052520056, 'n': 25, 'trace_an': 11}
  • id: 50427392
    {'hecke_orbit_code': 36028797052520056, 'n': 26, 'trace_an': 0}
  • id: 50427393
    {'hecke_orbit_code': 36028797052520056, 'n': 27, 'trace_an': 0}
  • id: 50427394
    {'hecke_orbit_code': 36028797052520056, 'n': 28, 'trace_an': 0}
  • id: 50427395
    {'hecke_orbit_code': 36028797052520056, 'n': 29, 'trace_an': -1}
  • id: 50427396
    {'hecke_orbit_code': 36028797052520056, 'n': 30, 'trace_an': 0}
  • id: 50427397
    {'hecke_orbit_code': 36028797052520056, 'n': 31, 'trace_an': -9}
  • id: 50427398
    {'hecke_orbit_code': 36028797052520056, 'n': 32, 'trace_an': 0}
  • id: 50427399
    {'hecke_orbit_code': 36028797052520056, 'n': 33, 'trace_an': 0}
  • id: 50427400
    {'hecke_orbit_code': 36028797052520056, 'n': 34, 'trace_an': 0}
  • id: 50427401
    {'hecke_orbit_code': 36028797052520056, 'n': 35, 'trace_an': 8}
  • id: 50427402
    {'hecke_orbit_code': 36028797052520056, 'n': 36, 'trace_an': 0}
  • id: 50427403
    {'hecke_orbit_code': 36028797052520056, 'n': 37, 'trace_an': -4}
  • id: 50427404
    {'hecke_orbit_code': 36028797052520056, 'n': 38, 'trace_an': 0}
  • id: 50427405
    {'hecke_orbit_code': 36028797052520056, 'n': 39, 'trace_an': 0}
  • id: 50427406
    {'hecke_orbit_code': 36028797052520056, 'n': 40, 'trace_an': 0}
  • id: 50427407
    {'hecke_orbit_code': 36028797052520056, 'n': 41, 'trace_an': -3}
  • id: 50427408
    {'hecke_orbit_code': 36028797052520056, 'n': 42, 'trace_an': 0}
  • id: 50427409
    {'hecke_orbit_code': 36028797052520056, 'n': 43, 'trace_an': 8}
  • id: 50427410
    {'hecke_orbit_code': 36028797052520056, 'n': 44, 'trace_an': 0}
  • id: 50427411
    {'hecke_orbit_code': 36028797052520056, 'n': 45, 'trace_an': 0}
  • id: 50427412
    {'hecke_orbit_code': 36028797052520056, 'n': 46, 'trace_an': 0}
  • id: 50427413
    {'hecke_orbit_code': 36028797052520056, 'n': 47, 'trace_an': 5}
  • id: 50427414
    {'hecke_orbit_code': 36028797052520056, 'n': 48, 'trace_an': 0}
  • id: 50427415
    {'hecke_orbit_code': 36028797052520056, 'n': 49, 'trace_an': -3}
  • id: 50427416
    {'hecke_orbit_code': 36028797052520056, 'n': 50, 'trace_an': 0}
  • id: 50427417
    {'hecke_orbit_code': 36028797052520056, 'n': 51, 'trace_an': 0}
  • id: 50427418
    {'hecke_orbit_code': 36028797052520056, 'n': 52, 'trace_an': 0}
  • id: 50427419
    {'hecke_orbit_code': 36028797052520056, 'n': 53, 'trace_an': -6}
  • id: 50427420
    {'hecke_orbit_code': 36028797052520056, 'n': 54, 'trace_an': 0}
  • id: 50427421
    {'hecke_orbit_code': 36028797052520056, 'n': 55, 'trace_an': 16}
  • id: 50427422
    {'hecke_orbit_code': 36028797052520056, 'n': 56, 'trace_an': 0}
  • id: 50427423
    {'hecke_orbit_code': 36028797052520056, 'n': 57, 'trace_an': 0}
  • id: 50427424
    {'hecke_orbit_code': 36028797052520056, 'n': 58, 'trace_an': 0}
  • id: 50427425
    {'hecke_orbit_code': 36028797052520056, 'n': 59, 'trace_an': 4}
  • id: 50427426
    {'hecke_orbit_code': 36028797052520056, 'n': 60, 'trace_an': 0}
  • id: 50427427
    {'hecke_orbit_code': 36028797052520056, 'n': 61, 'trace_an': -10}
  • id: 50427428
    {'hecke_orbit_code': 36028797052520056, 'n': 62, 'trace_an': 0}
  • id: 50427429
    {'hecke_orbit_code': 36028797052520056, 'n': 63, 'trace_an': 0}
  • id: 50427430
    {'hecke_orbit_code': 36028797052520056, 'n': 64, 'trace_an': 0}
  • id: 50427431
    {'hecke_orbit_code': 36028797052520056, 'n': 65, 'trace_an': -20}
  • id: 50427432
    {'hecke_orbit_code': 36028797052520056, 'n': 66, 'trace_an': 0}
  • id: 50427433
    {'hecke_orbit_code': 36028797052520056, 'n': 67, 'trace_an': -4}
  • id: 50427434
    {'hecke_orbit_code': 36028797052520056, 'n': 68, 'trace_an': 0}
  • id: 50427435
    {'hecke_orbit_code': 36028797052520056, 'n': 69, 'trace_an': 0}
  • id: 50427436
    {'hecke_orbit_code': 36028797052520056, 'n': 70, 'trace_an': 0}
  • id: 50427437
    {'hecke_orbit_code': 36028797052520056, 'n': 71, 'trace_an': 5}
  • id: 50427438
    {'hecke_orbit_code': 36028797052520056, 'n': 72, 'trace_an': 0}
  • id: 50427439
    {'hecke_orbit_code': 36028797052520056, 'n': 73, 'trace_an': -15}
  • id: 50427440
    {'hecke_orbit_code': 36028797052520056, 'n': 74, 'trace_an': 0}
  • id: 50427441
    {'hecke_orbit_code': 36028797052520056, 'n': 75, 'trace_an': 0}
  • id: 50427442
    {'hecke_orbit_code': 36028797052520056, 'n': 76, 'trace_an': 0}
  • id: 50427443
    {'hecke_orbit_code': 36028797052520056, 'n': 77, 'trace_an': 8}
  • id: 50427444
    {'hecke_orbit_code': 36028797052520056, 'n': 78, 'trace_an': 0}
  • id: 50427445
    {'hecke_orbit_code': 36028797052520056, 'n': 79, 'trace_an': -6}
  • id: 50427446
    {'hecke_orbit_code': 36028797052520056, 'n': 80, 'trace_an': 0}
  • id: 50427447
    {'hecke_orbit_code': 36028797052520056, 'n': 81, 'trace_an': 0}
  • id: 50427448
    {'hecke_orbit_code': 36028797052520056, 'n': 82, 'trace_an': 0}
  • id: 50427449
    {'hecke_orbit_code': 36028797052520056, 'n': 83, 'trace_an': -6}
  • id: 50427450
    {'hecke_orbit_code': 36028797052520056, 'n': 84, 'trace_an': 0}
  • id: 50427451
    {'hecke_orbit_code': 36028797052520056, 'n': 85, 'trace_an': 8}
  • id: 50427452
    {'hecke_orbit_code': 36028797052520056, 'n': 86, 'trace_an': 0}
  • id: 50427453
    {'hecke_orbit_code': 36028797052520056, 'n': 87, 'trace_an': 0}
  • id: 50427454
    {'hecke_orbit_code': 36028797052520056, 'n': 88, 'trace_an': 0}
  • id: 50427455
    {'hecke_orbit_code': 36028797052520056, 'n': 89, 'trace_an': 8}
  • id: 50427456
    {'hecke_orbit_code': 36028797052520056, 'n': 90, 'trace_an': 0}
  • id: 50427457
    {'hecke_orbit_code': 36028797052520056, 'n': 91, 'trace_an': -10}
  • id: 50427458
    {'hecke_orbit_code': 36028797052520056, 'n': 92, 'trace_an': 0}
  • id: 50427459
    {'hecke_orbit_code': 36028797052520056, 'n': 93, 'trace_an': 0}
  • id: 50427460
    {'hecke_orbit_code': 36028797052520056, 'n': 94, 'trace_an': 0}
  • id: 50427461
    {'hecke_orbit_code': 36028797052520056, 'n': 95, 'trace_an': 24}
  • id: 50427462
    {'hecke_orbit_code': 36028797052520056, 'n': 96, 'trace_an': 0}
  • id: 50427463
    {'hecke_orbit_code': 36028797052520056, 'n': 97, 'trace_an': 10}
  • id: 50427464
    {'hecke_orbit_code': 36028797052520056, 'n': 98, 'trace_an': 0}
  • id: 50427465
    {'hecke_orbit_code': 36028797052520056, 'n': 99, 'trace_an': 0}
  • id: 50427466
    {'hecke_orbit_code': 36028797052520056, 'n': 100, 'trace_an': 0}