Newform data - 9702.2.a.bt

Formats: - HTML - YAML - JSON - 2024-04-25T12:06:09.623896

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 38808, 'analytic_conductor': 77.47086004104622, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [7, -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': [9702, 1, [4313, 199, 5293], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [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, [0, 1]], [13, [-2, 1]], [17, [4, 1]], [19, [6, 1]], [23, [-4, 1]], [29, [-10, 1]]], 'hecke_orbit': 46, 'hecke_orbit_code': 202661983265236454, '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_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '9702.2.a.bt', 'level': 9702, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 11], 'level_radical': 462, 'minimal_twist': '462.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{2}+q^{4}+q^{8}+q^{11}+2q^{13}+q^{16}+\\cdots', 'related_objects': ['EllipticCurve/Q/9702/bt'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '9702.2.a', 'trace_display': [1, 0, 0, 0], 'trace_hash': 1841525101923163277, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.994', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.998', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.022', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.020', 'prec': 17}, 'traces': [1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 0, 1, -4, 0, -6, 0, 0, 1, 4, 0, -5, 2, 0, 0, 10, 0, -6, 1, 0, -4, 0, 0, -6, -6, 0, 0, -12, 0, -8, 1, 0, 4, 2, 0, 0, -5, 0, 2, -6, 0, 0, 0, 0, 10, -8, 0, -6, -6, 0, 1, 0, 0, -4, -4, 0, 0, 0, 0, 12, -6, 0, -6, 0, 0, 0, 0, 0, -12, 14, 0, 0, -8, 0, 1, 10, 0, 0, 4, 0, 2, 0, 0, -10, 0, 0, -5, -6, 0, -10, 2, 0, -6, -8, 0, 18, 0, 0, 0, 2, 0, 0, 10, 0, -8, 0, 0, 1, -6, 0, -6, 0, 0, -16, 1, 0, 0, 10, 0, 0, -4, 0, -4, 10, 0, 14, 0, 0, 0, 2, 0, 0, 12, 0, -6, -10, 0, -16, -6, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 12, -12, 0, 14, 12, 0, -9, 0, 0, -8, -18, 0, 0, 1, 0, 10, -20, 0, 8, 0, 0, 4, 0, 0, -4, 2, 0, 0, 12, 0, -22, -10, 0, 0, -6, 0, -10, -5, 0, -6, 0, 0, 0, -10, 0, 2, -6, 0, -8, -6, 0, -8, 0, 0, 0, 18, 0, 0, -8, 0, 2, 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0, 0, -1, 0, 0, 70, 0, -16, 0, 0, 14, 48, 0, -86, 0, 0, -8, -18, 0, 0, -12, 0, 0, -60, 0, 8, -18, 0, 40, 0, 0, -40, -18, 0, 0, -48, 0, -16, -72, 0, -16, -42, 0, 0, 0, 0, -16, 4, 0, 0, 0, 0, 48, 62, 0, 12, -2, 0, -16, 0, 0, 70, -20, 0, 0, 6, 0, -12, -50, 0, -24, 0, 0, -17, 0, 0, 36, -100, 0, 0, 1, 0, 26, 44, 0, 0, -56, 0, 10, -10, 0, -6, 0, 0, 0, 60, 0, -44, 36, 0, -6, -62, 0, -48, 0, 0, 0, -84, 0, 0, 56, 0, 10, 0, 0, 20, -24, 0, 66, 0, 0, 94, -54, 0, 0, -36, 0, 0, -20, 0, 22, -12, 0, 96, 0, 0, -8, 36, 0, 0, 38, 0, 72, 8, 0, 32, 10, 0, 0, 0, 0, 26, 17, 0, 0, 0, 0, -16, 36, 0, 8, -18, 0, 4, -50, 0, -64, -88, 0, 0, -54, 0, 34, 102, 0, 0, 0, 0, -12, 0, 0, 50, 42, 0, 0, -64, 0, 0, 32, 0, 0, 32, 0, -60, 0, 0, -14, 0, 0, 0, 10, 0, 4, 30, 0, 72, 16, 0, 4, 0, 0, 0, -4, 0, 40, -28, 0, -30, 0, 0, 28, 52, 0, 24, 0, 0, 22, -60, 0, 0, -28, 0, 0, -38, 0, -20, 0, 0, -4, 0, 0, -48, 54, 0, 0, 4, 0, 72, 22, 0, -42, -100, 0, 0, 0, 0, -4, -144, 0, 0, 0, 0, -60, -40, 0, 50, 0, 0, 44, 0, 0, 60, 2, 0, 0, -72, 0, 40, 10, 0, 20, 0, 0, -20, 0, 0, -70, 38, 0, -5, -40, 0, 50, 52, 0, 0, -4, 0, 72, 0, 0, 32, 0, 0, 0, 66, 0, 80, -48, 0, 4, -22, 0, -34, 30, 0, 0, 0, 0, 0, 12, 0, 14, 0, 0, -22, -62, 0, -10, 0, 0, -100, -16, 0, 0, -84, 0, 0, -60, 0, 40, -32, 0, -100, 0, 0, -16, -24, 0, 0, -74, 0, -22, 54, 0, -30, -28, 0, 0, 0, 0, -72, -74, 0, 30, 0, 0, -80, -10, 0, -48, 16, 0, 30, 0, 0, -2, -2, 0, 0, 72, 0, 12, -40, 0, 52, 0, 0, 0, 0, 0, 48, -16, 0, 0, 36, 0, 56, -74, 0, 0, 6, 0, -96, 0, 0, -24, 0, 0, 0, 2, 0, -22, -8, 0, 40, -6, 0, -84, 0, 0, 0, -20, 0, 0, 180, 0, -38, 0, 0, 64, 52, 0, -98, 0, 0, -12, -72, 0, 80, 4, 0, 0, -1, 0, 58, 48, 0, -10, 0, 0, -16, 12, 0, 0, 18, 0, 60, 30, 0, -8, 56, 0, 0, -5, 0, -20, -96, 0, 0, 0, 0, 34, -60, 0, 54, 12, 0, 72, 0, 0, -46, 22, 0, 0, -30, 0, 6, -12, 0, -18, 0, 0, -50, 0, 0, -6, 36, 0, 0, 30, 0, -24, 0, 0, 0, 42, 0, -2, 0, 0, -48, 0, 0, 0, -34, 0, -86, 46, 0, -6, -6, 0, -20, 0, 0, 0, 16, 0, 0, 0, 0, 48, 0, 0, 76, -24, 0, 48, -50, 0, 20, -10, 0, 0, 88, 0, 0, -10, 0, 36, 108, 0, 8, 0, 0, 44, -60, 0, 0, -10, 0, 40, 64, 0, -2, -32, 0, 0, 0, 0, -2, 12, 0, 0, 0, 0, -50, 20, 0, -56, 48, 0, -80, 0, 0, -16, 24, 0, 0, -32, 0, 2, -14, 0, 24, 0, 0, 20, 0, 0, 0, 58, 0, 0, -12, 0, -112, -6, 0, 0, -84, 0, 24, 20, 0, 28, 0, 0, 0, 14, 0, 48, -70, 0, -38, 103, 0, 71, 0, 0, 0, 6, 0, 0, 12, 0, -2, 0, 0, -8, 14, 0, -108, 0, 0, -60, 40, 0, 0, 30, 0, 0, -50, 0, -70, -6, 0, -2, 0, 0, 0, -56, 0, 20, 120, 0, -168, -24, 0, 20, -56, 0, 0, 0, 0, 18, 26, 0, 0, 0, 0, 50, -32, 0, -10, -80, 0, -8, -50, 0, -40, 0, 0, 0, 24, 0, -14, 24, 0, -8, 0, 0, -48, 0, 0, 46, -6, 0, 0, -44, 0, -8, 24, 0, 0, -12, 0, -12, 0, 0, -22, 0, 0, 0, 30, 0, 10, 22, 0, 58, 0, 0, 26, 0, 0, 0, -64, 0, -70, 0, 0, -12, 0, 0, 5, 60, 0, -8, 0, 0, 18, 18, 0, 0, -72, 0, 0, 28, 0, -24, 48, 0, -100, 0, 0, 40, -12, 0, 0, 34, 0, 50, 10, 0, -16, -28, 0, 0, 0, 0, -58, 24, 0, 0, 0, 0, 8, -18, 0, 96, -44, 0, -74, 0, 0, -28, -54, 0, 0, -8, 0, -60, -116, 0, 18, 0, 0, -12, 0, 0, 92, 8, 0, 0, 24, 0, 24, -12, 0, 0, -38, 0, -68, 0, 0, 20, 0, 0, 0, -62, 0, 2, -112, 0, 20, -12, 0, -52, -10, 0, 0, 62, 0, 0, 30, 0, -24, 0, 0, 12, 32, 0, 60, 0, 0, 2, 62, 0, 0, -60, 0, 0, 48, 0, -44, 2, 0, 24, 0, 0, 72, -12, 0, 0, -48, 0, -34, 28, 0, 2, 78, 0, 0, 0, 0, 30, -84, 0, 0, 0, 0, -44, -72, 0, -22, -14, 0, 0, 0, 0, -26, 32, 0, 0, -20, 0, 82, 12, 0, 24, 0, 0, -120, -60, 0, 14, -60, 0, 0, -6, 0, 48, 118, 0, 0, -56, 0, -24, 0, 0, 132, 0, 0, 0, -16, 0, -92, 12, 0, 24, 106, 0, -4, 0, 0, 0, -160, 0, 0, 60, 0, -6, 0, 0, -88, 0, 0, 72, 0, 0, 30, 21, 0, 30, -20, 0, 0, 16, 0, -72, 22, 0, -102, 0, 0, 10, 0, 0, 0, 42, 0, -9, 60, 0, -25, 6, 0, 0, 50, 0, -106, 26, 0, 0, 0, 0, 98, -62, 0, 4, 36, 0, -12, 0, 0, -68, 36, 0, 0, 38, 0, 4, 48, 0, -6, 0, 0, -2, 0, 0, -2, -10, 0, 0, 70, 0, 0, 6, 0, 0, -32, 0, -36, 0, 0, -48, 0, 0, 80, -8, 0, -32, -114, 0, 60, 36, 0, -8, 0, 0, 0, -12, 0, 0, -8, 0, -26, 0, 0, 24, 10, 0, 100, 30, 0, -30, 36, 0, 0, -18, 0, 0, 12, 0, 60, -50, 0, 12, 0, 0, -16, 56, 0, 0, 24, 0, -56, 8, 0, -30, -80, 0, 0, 0, 0, -8, 6, 0, 0, 0, 0, 36, -2, 0, 48, -8, 0, 5, 0, 0, -80, -12, 0, 0, -36, 0, 20, -24, 0, 28, 0, 0, 56, 0, 0, -42, -84, 0, 0, -14, 0, -56, -72, 0, 0, 1, 0, -20, 0, 0, 32, 0, 0, 0, 30, 0, 10, -36, 0, -40, -36, 0, 78, 0, 0, 0, 96, 0, 0, -28, 0, -54, 0, 0, 28, -18, 0, -6, 0, 0, 32, -18, 0, 0, 12, 0, 0, 60, 0, 10, -14, 0, 38, 0, 0, 36, -46, 0, 60, -32, 0, -12, -50, 0, 60, -14, 0, 0, 0, 0, 96, -20, 0, 0, 0, 0, -100, -40, 0, -48, -20, 0, -8, 0, 0, -12, 32, 0, 0, -32, 0, 42, 48, 0, -104, 0, 0, -48, 0, 0, -88, -6, 0, 0, 17, 0, 100, 78, 0, 0, 120, 0, -72, 0, 0, 8, 0, 0, 0, -56, 0, -10, 94, 0, 28, 4, 0, 78, 0, 0, 0, -24, 0, 0, -42, 0, 26, 0, 0, 60, 82, 0, 48, 0, 0, 32, -106, 0, 0, 8, 0, 0, -12, 0, -18, -20, 0, -4, 0, 0, 76, 36, 0, 0, 140, 0, -108], '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], [1], [0], [1], [0], [0], [0], [1], [0], [0], [1], [0], [2], [0], [0], [1], [-4], [0], [-6], [0], [0], [1], [4], [0], [-5], [2], [0], [0], [10], [0], [-6], [1], [0], [-4], [0], [0], [-6], [-6], [0], [0], [-12], [0], [-8], [1], [0], [4], [2], [0], [0], [-5], [0], [2], [-6], [0], [0], [0], [0], [10], [-8], [0], [-6], [-6], [0], [1], [0], [0], [-4], [-4], [0], [0], [0], [0], [12], [-6], [0], [-6], [0], [0], [0], [0], [0], [-12], [14], [0], [0], [-8], [0], [1], [10], [0], [0], [4], [0], [2], [0], [0], [-10], [0], [0], [-5]], 'ap': [[1], [0], [0], [0], [1], [2], [-4], [-6], [4], [10], [-6], [-6], [-12], [-8], [2], [-6], [-8], [-6], [-4], [0], [12], [0], [14], [10], [-10], [-6], [-10], [-8], [18], [2], [-16], [10], [10], [14], [-10], [-16], [-12], [12], [12], [-18], [-20], [8], [12], [-22], [-6], [-10], [-8], [2], [-14], [-24], [26], [8], [28], [8], [-6], [-16], [24], [4], [-22], [-30], [-2], [6], [14], [-10], [-6], [18], [-20], [22], [-16], [-2], [10], [-8], [10], [22], [-4], [-10], [-2], [4], [34], [-24], [28], [6], [-8], [22], [-28], [-12], [2], [-6], [-6], [16], [4], [-8], [-28], [-12], [4], [-4], [-32], [-30], [22], [-34], [28], [-30], [-6], [42], [-44], [-14], [-32], [-4], [16], [8], [-24], [22], [-2], [-12], [-44], [38], [16], [-10], [6], [16], [32], [-10], [6], [12], [40], [-50], [-6], [38], [34], [-14], [28], [0], [44], [50], [-48], [40], [-28], [-22], [12], [30], [-2], [-10], [44], [12], [-56], [14], [18], [0], [-8], [-12], [50], [-18], [-28], [8], [-44], [12], [24], [42], [4], [6], [-12], [-50], [-56], [-36], [-18], [-14], [-48], [-10], [42], [0], [0], [52], [-32], [54], [-26], [-18], [-20], [30], [-20], [-10], [32], [58], [-14], [-64], [24], [24], [-18], [28], [-2], [60], [26], [8], [-52], [60], [-60], [-6], [-58], [2], [36], [36], [14], [28], [52], [44], [-44], [48], [22], [4], [46], [60], [-18], [-28], [24], [-24], [-44], [-6], [-48], [56], [24], [14], [-18], [-20], [26], [56], [66], [-54], [22], [72], [36], [-64], [-54], [42], [16], [22], [-28], [-4], [54], [-42], [-60], [-70], [4], [-62], [-74], [-74], [-48], [12], [-74], [-24], [-20], [64], [30], [-20], [72], [22], [-18], [-24], [42], [46], [48], [20], [-32], [20], [58], [30], [-2], [-56], [50], [46], [-44], [58], [60], [28], [34], [24], [-12], [-62], [-52], [62], [2], [30], [24], [-56], [72], [6], [-62], [-68], [38], [-2], [-10], [-32], [-30], [12], [-30], [-42], [-14], [-54], [-18], [-48], [42], [78], [-56], [78], [-24], [60], [-20], [-2], [36], [-16], [0], [-38], [16], [78], [18], [68], [48], [52], [-56], [-32], [-46], [-46], [18], [26], [86], [44], [-66], [-22], [-4], [-36], [48], [54], [14], [22], [-68], [-22], [68], [-68], [-38], [-64], [14], [-72], [38], [-2], [-26], [92], [-66], [28], [32], [-28], [-64], [-4], [-50], [22], [10], [-72], [34], [-72], [-30], [58], [14], [-56], [-46], [32], [8], [36], [-4], [50], [-58], [-16], [-14], [84], [52], [0], [10], [-40], [-2], [84], [-8], [8], [36], [-68], [44], [-26], [-16], [-58], [70], [-90], [-4], [40], [-8], [66], [26], [68], [44], [-80], [40], [-50], [-40], [54], [12], [70], [-86], [-18], [-40], [-42], [62], [12], [70], [6], [-12], [44], [-44], [-62], [-84], [20], [94], [-36], [8], [26], [-18], [-88], [102], [50], [32], [30], [-30], [52], [-60], [-38], [-20], [-40], [50], [-72], [-20], [38], [32], [66], [-34], [-22], [-100], [-100], [-24], [54], [30], [-40], [52], [6], [-38], [52], [-98], [58], [-16], [18], [-96], [-60], [-46], [-30], [-50], [-34], [-86], [-6], [-20], [76], [64], [-2], [-2], [-50], [-80], [24], [-14], [24], [-112], [-84], [-70], [-38], [12], [-2], [-50], [-70], [-56], [26], [-14], [24], [-22], [30], [10], [0], [26], [-72], [-100], [-16], [-58], [-44], [-74], [-54], [-116], [18], [92], [-38], [-68], [20], [30], [-24], [62], [72], [-34], [78], [-84], [-22], [-26], [82], [118], [-16], [-92], [106], [-88], [30], [-20], [-102], [60], [-106], [98], [-12], [70], [-32], [-36], [-114], [-26], [10], [36], [24], [-56], [6], [-80], [-36], [20], [-84], [32], [30], [78], [32], [12], [-14], [38], [-46], [-50], [60], [-100], [-20], [-88], [94], [-42], [26], [82], [-106], [-12], [-18], [76]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 202661983265236454, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '9702.2.a.bt', 'level': 9702, 'maxp': 4027, 'weight': 2}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[2, -1], [3, -1], [7, -1], [11, -1]], 11, 10], [[[2, 1], [3, -1], [7, 1], [11, 1]], 13, 4], [[[2, -1], [3, 1], [7, 1], [11, 1]], 9, 6], [[[2, 1], [3, 1], [7, -1], [11, -1]], 8, 6], [[[2, -1], [3, -1], [7, 1], [11, 1]], 11, 6], [[[2, -1], [3, 1], [7, -1], [11, -1]], 11, 7], [[[2, 1], [3, -1], [7, -1], [11, -1]], 13, 9], [[[2, -1], [3, -1], [7, 1], [11, -1]], 15, 8], [[[2, -1], [3, -1], [7, -1], [11, 1]], 14, 10], [[[2, 1], [3, -1], [7, 1], [11, -1]], 13, 7], [[[2, -1], [3, 1], [7, -1], [11, 1]], 8, 6], [[[2, 1], [3, 1], [7, 1], [11, 1]], 5, 3], [[[2, 1], [3, 1], [7, -1], [11, 1]], 11, 7], [[[2, -1], [3, 1], [7, 1], [11, -1]], 5, 3], [[[2, 1], [3, 1], [7, 1], [11, -1]], 9, 6], [[[2, 1], [3, -1], [7, -1], [11, 1]], 13, 9]], 'ALdims': [5, 9, 11, 8, 13, 13, 13, 13, 9, 5, 8, 11, 11, 15, 14, 11], 'Nk2': 38808, 'analytic_conductor': 77.47086004104622, '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': [9702, 1, [4313, 199, 5293], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1953, 'dim': 169, 'eis_dim': 127, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 13, 17, 19, 23, 29], 'hecke_orbit_code': 33564134, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4], 'label': '9702.2.a', 'level': 9702, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 11], 'level_radical': 462, 'mf_dim': 2080, 'mf_new_dim': 169, 'num_forms': 107, 'plus_dim': 74, 'prim_orbit_index': 1, 'relative_dim': 169, 'sturm_bound': 4032, 'trace_bound': 31, 'trace_display': [-1, 0, -2, 0], 'traces': [169, -1, 0, 169, -2, 0, 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0, 58, 0, 0, -100, 262, 0, -78, 4, 0, -446, 156, 0, 244, 156, 0, 0, -474, 0, -56, 616, 0, -48, 0, 0, -724, 510, 0, -172, -72, 0, -840, -10, 0, -210, -256, 0, 0, 488, 0, 2, 164, 0, -40, 0, 0, -212, -424, 0, 498, 120, 0, -192, 700, 0, -1064, 4, 0, 0, -212, 0, 272, -90, 0, -172, 0, 0, -380, 232, 0, -160, 492, 0, 159, -276, 0, 6, 364, 0, 0, -132, 0, 412, 232, 0, 250, 0, 0, 32, 346, 0, 920, -26, 0, -212, -70, 0, -974, 142, 0, 0, 72, 0, 512, 164, 0, 44, 0, 0, 302, -220, 0, -120, 140, 0, -300, 200, 0, 48, -280, 0, 0, 268, 0, -158, 876, 0, -240, 0, 0, 632, -200, 0, 220, -304, 0, 66, 290, 0, -2, -90, 0, 0, 776, 0, 384, -270, 0, -8, 0, 0, 168, -34, 0, 434, -8, 0, -1138, -296, 0, -138, -20, 0, 0, 344, 0, 288, -272, 0, 226, 0, 0, 0, -182, 0, 608, -24, 0, -428, 280, 0, -340, 8, 0, 0, 190, 0, 200, 4, 0, 60, 0, 0, -8, -14, 0, 172, 176, 0, 0, 42, 0, 368, 344, 0, 0, 456, 0, -16, -364, 0, 60, 0, 0, -616, 88, 0, -614, 284, 0, -92, 1128, 0, 872, -118, 0, 0, -13, 0, -178, -304, 0, 24, 0, 0, -868, -74, 0, 140, -4, 0, 48, -66, 0, -144, 40, 0, 0, -39, 0, 178, -108, 0, 476, 0, 0, 106, -298, 0, -76, 14, 0, 96, -208, 0, -414, 198, 0, 0, -582, 0, 98, -152, 0, 10, 0, 0, -906, 352, 0, -6, 172, 0, 200, -226, 0, 612, -16, 0, 0, -838, 0, -172, 16, 0, -80, 0, 0, 512, -84, 0, -42, 20, 0, 26, 722, 0, 468, 40, 0, 0, 328, 0, -500, -336, 0, 168, 0, 0, 312, -106, 0, -58, 436, 0, 212, -26, 0, 68, -36, 0, 0, -278, 0, -128, -8, 0, 152, 0, 0, -448, -20, 0, 72, 32, 0, 484, 740, 0, -346, -112, 0, 0, 36, 0, 428, -292, 0, -376, 0, 0, 434, 174, 0, -46, -80, 0, -672, 424, 0, 16, -144, 0, 0, 424, 0, -2, -66, 0, 80, 0, 0, 540, 416, 0, -24, 186, 0, 120, -484, 0, -136, -20, 0, 0, 556, 0, -340, -140, 0, -28, 0, 0, 260, -28, 0, -416, -268, 0, 258, -339, 0, -1, -4, 0, 0, 154, 0, 228, -236, 0, -314, 0, 0, 124, 140, 0, -224, -86, 0, 392, 1344, 0, -508, 106, 0, 0, 370, 0, 256, -38, 0, 146, 0, 0, 120, 4, 0, -90, 144, 0, 936, -224, 0, 872, 88, 0, 0, 160, 0, 190, -214, 0, -40, 0, 0, -322, 112, 0, -140, -80, 0, 20, 526, 0, 568, -34, 0, 0, -840, 0, 474, -364, 0, -32, 0, 0, -1096, 88, 0, 58, -38, 0, 344, -96, 0, -120, 134, 0, 0, 92, 0, 62, 752, 0, -118, 0, 0, -340, -414, 0, -264, 30, 0, -114, 12, 0, 510, -168, 0, 0, 584, 0, -204, 0, 0, -304, 0, 0, 685, 138, 0, 104, 200, 0, 26, -26, 0, -124, -104, 0, 0, -500, 0, -120, 260, 0, -280, 0, 0, 880, 592, 0, -668, -282, 0, -74, 2, 0, -472, 56, 0, 0, -56, 0, -66, -32, 0, -6, 0, 0, 664, -182, 0, -24, 216, 0, -1254, -516, 0, -268, -46, 0, 0, 28, 0, -172, 428, 0, 270, 0, 0, 44, -204, 0, 24, -32, 0, 944, -408, 0, 184, 222, 0, 0, -470, 0, -272, -92, 0, 268, 0, 0, 112, -512, 0, -8, -224, 0, 604, -184, 0, -660, 142, 0, 0, 134, 0, 200, 1010, 0, -520, 0, 0, 20, 320, 0, 268, -136, 0, -110, -130, 0, 816, -176, 0, 0, 64, 0, -204, 166, 0, -180, 0, 0, 952, -26, 0, 190, -216, 0, 214, 152, 0, -14, -286, 0, 0, 404, 0, -528, -300, 0, 408, 0, 0, 228, 0, 0, -152, 12, 0, 112, -288, 0, 78, 184, 0, 0, 348, 0, -180, 20, 0, -80, 0, 0, 20, -86, 0, -16, -180, 0, -112, 30, 0, 504, -172, 0, 0, -136, 0, 18, -980, 0, 224, 0, 0, 56, -344, 0, -726, 0, 0, 352, 818, 0, -280, 96, 0, 0, -672, 0, -88, 40, 0, 114, 0, 0, -244, 160, 0, 48, 184, 0, 50, -213, 0, 154, 158, 0, 0, -160, 0, 204, -126, 0, -106, 0, 0, -50, -104, 0, -376, 26, 0, 209, -492, 0, 127, 82, 0, 0, 974, 0, 528, -26, 0, -596, 0, 0, -434, -604, 0, 52, 140, 0, 1020, -36, 0, 112, -136, 0, 0, -370, 0, -86, 208, 0, -8, 0, 0, -394, 208, 0, -182, -112, 0, 64, -338, 0, 328, -190, 0, 0, -620, 0, 298, -776, 0, -160, 0, 0, 1304, 16, 0, 98, -228, 0, 1344, -168, 0, -44, 212, 0, 0, 268, 0, -392, 736, 0, -166, 0, 0, 308, 538, 0, 96, 44, 0, 294, 244, 0, 116, -30, 0, 0, 172, 0, -400, -146, 0, 220, 0, 0, 116, 64, 0, 168, -250, 0, 56, -8, 0, 458, -384, 0, 0, 72, 0, -40, 930, 0, -280, 0, 0, -96, 2, 0, -112, -156, 0, 233, -20, 0, -8, -212, 0, 0, -140, 0, 546, 440, 0, 66, 0, 0, -264, 36, 0, -200, -144, 0, 28, -306, 0, 304, -540, 0, 0, -1, 0, 244, 720, 0, 282, 0, 0, -204, 154, 0, 94, 32, 0, -64, 1812, 0, 466, -4, 0, 0, 1116, 0, 144, 64, 0, -118, 0, 0, 192, 296, 0, -2, -136, 0, 1196, -86, 0, 1200, -344, 0, 0, -208, 0, 54, 186, 0, 312, 0, 0, 196, -20, 0, 30, 80, 0, 12, -106, 0, 12, 12, 0, 0, 512, 0, -368, 12, 0, 20, 0, 0, 384, 20, 0, -338, 200, 0, 168, 0, 0, 224, 208, 0, 0, -8, 0, -352, 272, 0, 20, 0, 0, 408, 736, 0, -296, -8, 0, -900, 45, 0, 500, -4, 0, 0, 588, 0, 368, 360, 0, -58, 0, 0, 284, -226, 0, 54, 322, 0, 256, -44, 0, -18, -64, 0, 0, 776, 0, -12, -74, 0, 92, 0, 0, 708, -300, 0, -344, -228, 0, -32, 330, 0, 228, 96, 0, 0, -252, 0, 590, -620, 0, -8, 0, 0, 252, -232, 0, -400, 8, 0, -804], '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: 1443936
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9702.2.a.bt', 'source_level': 9702, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '462.2.a.b', 'target_level': 462, 'twist_class_label': '462.2.a.b', 'twist_class_level': 462, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1443937
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9702.2.a.bt', 'source_level': 9702, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '1386.2.a.i', 'target_level': 1386, 'twist_class_label': '462.2.a.b', 'twist_class_level': 462, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1443938
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9702.2.a.bt', 'source_level': 9702, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '3234.2.a.k', 'target_level': 3234, 'twist_class_label': '462.2.a.b', 'twist_class_level': 462, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1443939
    {'conductor': 84, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9702.2.a.bt', 'source_level': 9702, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 25, 'target_is_minimal': False, 'target_label': '3696.2.a.y', 'target_level': 3696, 'twist_class_label': '462.2.a.b', 'twist_class_level': 462, 'twisting_char_label': '84.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1443940
    {'conductor': 231, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9702.2.a.bt', 'source_level': 9702, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 19, 'target_is_minimal': False, 'target_label': '5082.2.a.s', 'target_level': 5082, 'twist_class_label': '462.2.a.b', 'twist_class_level': 462, 'twisting_char_label': '231.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1443941
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9702.2.a.bt', 'source_level': 9702, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 46, 'target_is_minimal': False, 'target_label': '9702.2.a.bt', 'target_level': 9702, 'twist_class_label': '462.2.a.b', 'twist_class_level': 462, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 5101300
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 2}
  • id: 5101301
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 3}
  • id: 5101302
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 5}
  • id: 5101303
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 7}
  • id: 5101304
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 11}
  • id: 5101305
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 13}
  • id: 5101306
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 17}
  • id: 5101307
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 19}
  • id: 5101308
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 23}
  • id: 5101309
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 29}
  • id: 5101310
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 31}
  • id: 5101311
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 37}
  • id: 5101312
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 41}
  • id: 5101313
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 43}
  • id: 5101314
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 47}
  • id: 5101315
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 53}
  • id: 5101316
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 59}
  • id: 5101317
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 61}
  • id: 5101318
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 67}
  • id: 5101319
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 71}
  • id: 5101320
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 73}
  • id: 5101321
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 79}
  • id: 5101322
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 83}
  • id: 5101323
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 202661983265236454, 'p': 89}
  • id: 5101324
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 202661983265236454, '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': 46, 'label': '9702.2.a.bt', 'level': 9702, '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: 276072000
    {'hecke_orbit_code': 202661983265236454, 'n': 1, 'trace_an': 1}
  • id: 276072001
    {'hecke_orbit_code': 202661983265236454, 'n': 2, 'trace_an': 1}
  • id: 276072002
    {'hecke_orbit_code': 202661983265236454, 'n': 3, 'trace_an': 0}
  • id: 276072003
    {'hecke_orbit_code': 202661983265236454, 'n': 4, 'trace_an': 1}
  • id: 276072004
    {'hecke_orbit_code': 202661983265236454, 'n': 5, 'trace_an': 0}
  • id: 276072005
    {'hecke_orbit_code': 202661983265236454, 'n': 6, 'trace_an': 0}
  • id: 276072006
    {'hecke_orbit_code': 202661983265236454, 'n': 7, 'trace_an': 0}
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  • id: 276072018
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  • id: 276072105
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  • id: 276072110
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  • id: 276072111
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  • id: 276072112
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  • id: 276072118
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  • id: 276072129
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  • id: 276072130
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  • id: 276072131
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  • id: 276072135
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  • id: 276072136
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  • id: 276072138
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  • id: 276072213
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  • id: 276072219
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  • id: 276072220
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  • id: 276072774
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  • id: 276072961
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  • id: 276072962
    {'hecke_orbit_code': 202661983265236454, 'n': 963, 'trace_an': 0}
  • id: 276072963
    {'hecke_orbit_code': 202661983265236454, 'n': 964, 'trace_an': 28}
  • id: 276072964
    {'hecke_orbit_code': 202661983265236454, 'n': 965, 'trace_an': 0}
  • id: 276072965
    {'hecke_orbit_code': 202661983265236454, 'n': 966, 'trace_an': 0}
  • id: 276072966
    {'hecke_orbit_code': 202661983265236454, 'n': 967, 'trace_an': -56}
  • id: 276072967
    {'hecke_orbit_code': 202661983265236454, 'n': 968, 'trace_an': 1}
  • id: 276072968
    {'hecke_orbit_code': 202661983265236454, 'n': 969, 'trace_an': 0}
  • id: 276072969
    {'hecke_orbit_code': 202661983265236454, 'n': 970, 'trace_an': 0}
  • id: 276072970
    {'hecke_orbit_code': 202661983265236454, 'n': 971, 'trace_an': -36}
  • id: 276072971
    {'hecke_orbit_code': 202661983265236454, 'n': 972, 'trace_an': 0}
  • id: 276072972
    {'hecke_orbit_code': 202661983265236454, 'n': 973, 'trace_an': 0}
  • id: 276072973
    {'hecke_orbit_code': 202661983265236454, 'n': 974, 'trace_an': -28}
  • id: 276072974
    {'hecke_orbit_code': 202661983265236454, 'n': 975, 'trace_an': 0}
  • id: 276072975
    {'hecke_orbit_code': 202661983265236454, 'n': 976, 'trace_an': -6}
  • id: 276072976
    {'hecke_orbit_code': 202661983265236454, 'n': 977, 'trace_an': -18}
  • id: 276072977
    {'hecke_orbit_code': 202661983265236454, 'n': 978, 'trace_an': 0}
  • id: 276072978
    {'hecke_orbit_code': 202661983265236454, 'n': 979, 'trace_an': 10}
  • id: 276072979
    {'hecke_orbit_code': 202661983265236454, 'n': 980, 'trace_an': 0}
  • id: 276072980
    {'hecke_orbit_code': 202661983265236454, 'n': 981, 'trace_an': 0}
  • id: 276072981
    {'hecke_orbit_code': 202661983265236454, 'n': 982, 'trace_an': -12}
  • id: 276072982
    {'hecke_orbit_code': 202661983265236454, 'n': 983, 'trace_an': -14}
  • id: 276072983
    {'hecke_orbit_code': 202661983265236454, 'n': 984, 'trace_an': 0}
  • id: 276072984
    {'hecke_orbit_code': 202661983265236454, 'n': 985, 'trace_an': 0}
  • id: 276072985
    {'hecke_orbit_code': 202661983265236454, 'n': 986, 'trace_an': -40}
  • id: 276072986
    {'hecke_orbit_code': 202661983265236454, 'n': 987, 'trace_an': 0}
  • id: 276072987
    {'hecke_orbit_code': 202661983265236454, 'n': 988, 'trace_an': -12}
  • id: 276072988
    {'hecke_orbit_code': 202661983265236454, 'n': 989, 'trace_an': -32}
  • id: 276072989
    {'hecke_orbit_code': 202661983265236454, 'n': 990, 'trace_an': 0}
  • id: 276072990
    {'hecke_orbit_code': 202661983265236454, 'n': 991, 'trace_an': -48}
  • id: 276072991
    {'hecke_orbit_code': 202661983265236454, 'n': 992, 'trace_an': -6}
  • id: 276072992
    {'hecke_orbit_code': 202661983265236454, 'n': 993, 'trace_an': 0}
  • id: 276072993
    {'hecke_orbit_code': 202661983265236454, 'n': 994, 'trace_an': 0}
  • id: 276072994
    {'hecke_orbit_code': 202661983265236454, 'n': 995, 'trace_an': 0}
  • id: 276072995
    {'hecke_orbit_code': 202661983265236454, 'n': 996, 'trace_an': 0}
  • id: 276072996
    {'hecke_orbit_code': 202661983265236454, 'n': 997, 'trace_an': -10}
  • id: 276072997
    {'hecke_orbit_code': 202661983265236454, 'n': 998, 'trace_an': 4}
  • id: 276072998
    {'hecke_orbit_code': 202661983265236454, 'n': 999, 'trace_an': 0}
  • id: 276072999
    {'hecke_orbit_code': 202661983265236454, 'n': 1000, 'trace_an': 0}