Newform data - 8464.2.a.bp

Formats: - HTML - YAML - JSON - 2026-03-13T14:39:21.842016

• 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': 33856, 'analytic_conductor': 67.58538027081171, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [23, 1]], 'atkin_lehner_string': '-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [8464, 1, [7407, 2117, 6353], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 10816, 'field_disc_factorization': [[2, 6], [13, 2]], 'field_poly': [-1, 10, -9, -2, 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': 1, 'hecke_cutters': [[3, [-1, 1]], [5, [36, 0, -14, 0, 1]], [7, [36, 0, -14, 0, 1]], [13, [-9, 4, 1]]], 'hecke_orbit': 42, 'hecke_orbit_code': 184647584755753232, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 23, 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': '8464.2.a.bp', 'level': 8464, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 23], 'level_radical': 46, 'minimal_twist': '529.2.a.h', 'nf_label': '4.4.10816.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{3}+(\\beta _{1}+\\beta _{2})q^{5}+\\beta _{1}q^{7}-2q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '8464.2.a', 'trace_display': [0, 4, 0, 0], 'trace_hash': 481186443004500500, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.032', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.678', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '66.836', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1701.220', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.518', 'prec': 17}, 'traces': [4, 0, 4, 0, 0, 0, 0, 0, -8, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, -20, 0, -16, 0, 8, 0, 0, 0, 24, 0, 0, 0, -8, 0, -16, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 8, 0, 8, 0, 24, 0, 0, 0, 4, 0, 0, 0, 16, 0, -16, 0, 0, 0, 0, 0, 8, 0, 4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 36, 0, -16, 0, -16, 0, 0, 0, 20, 0, 0, 0, 4, 0, -4, 0, 0, 0, 0, 0, 36, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 28, 0, 12, 0, 16, 0, 0, 0, -16, 0, 0, 0, 12, 0, 16, 0, 0, 0, 0, 0, 36, 0, 16, 0, 0, 0, 0, 0, -20, 0, 0, 0, 60, 0, 0, 0, 0, 0, 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208, 0, 0, 0, 0, 0, -212, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 104, 0, -56, 0, 0, 0, -188, 0, 0, 0, -156, 0, -244, 0, 0, 0, 0, 0, 80, 0, -60, 0, 0, 0, 0, 0, 40, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -68, 0, -72, 0, -48, 0, -68, 0, 0, 0, -288, 0, 0, 0, 32, 0, 80, 0, 0, 0, 0, 0, -44, 0, -28, 0, 0, 0, 0, 0, 68, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 32, 0, -84, 0, 0, 0, 152, 0, 0, 0, 40, 0, -204, 0, 0, 0, 0, 0, 16, 0, 20, 0, 0, 0, 0, 0, 76, 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, 0, 0, 0], [1, 0, 0, 0], [0, 0, 0, 0], [0, 1, 1, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 0], [-2, 0, 0, 0], [0, 0, 0, 0], [0, 1, 1, 0], [0, 0, 0, 0], [-2, 0, 0, -1], [0, 0, 0, 0], [0, 1, 1, 0], [0, 0, 0, 0], [0, 1, -2, 0], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [2, 0, 0, -1], [0, 0, 0, 0], [-5, 0, 0, 0], [0, 0, 0, 0], [-4, 0, 0, 1], [0, 0, 0, 0], [2, 0, 0, 1], [0, 0, 0, 0], [0, 1, 1, 0], [0, 0, 0, 0], [6, 0, 0, 0], [0, 0, 0, 0], [0, 1, 3, 0], [0, 0, 0, 0], [-2, 0, 0, -1], [0, 0, 0, 0], [-4, 0, 0, 1], [0, 0, 0, 0], [0, 4, 2, 0], [0, 0, 0, 0], [0, -2, -2, 0], [0, 0, 0, 0], [4, 0, 0, -1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 0], [0, 1, -2, 0], [0, 0, 0, 0], [0, 2, -1, 0], [0, 0, 0, 0], [7, 0, 0, -1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 0, 0], [3, 0, 0, -3], [0, 0, 0, 0], [0, 2, 3, 0], [0, 0, 0, 0], [0, -2, 0, 0], [0, 0, 0, 0], [0, -1, 5, 0], [0, 0, 0, 0], [0, 1, -3, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [9, 0, 0, 0], [0, 0, 0, 0], [2, 0, 0, 1], [0, 0, 0, 0], [2, 0, 0, -1], [0, 0, 0, 0], [6, 0, 0, 0], [0, 0, 0, 0], [0, 2, -5, 0], [0, 0, 0, 0], [1, 0, 0, 0], [0, 0, 0, 0], [0, 1, 4, 0], [0, 0, 0, 0], [4, 0, 0, 2], [0, 0, 0, 0], [-4, 0, 0, 1], [0, 0, 0, 0], [0, 2, -4, 0], [0, 0, 0, 0], [0, -3, 6, 0], [0, 0, 0, 0], [2, 0, 0, 1], [0, 0, 0, 0], [1, 0, 0, -1], [0, 0, 0, 0], [0, 3, 8, 0], [0, 0, 0, 0], [0, -2, -2, 0], [0, 0, 0, 0]], 'ap': [[0, 0, 0, 0], [1, 0, 0, 0], [0, 1, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [-2, 0, 0, -1], [0, 1, -2, 0], [0, 0, 1, 0], [0, 0, 0, 0], [-4, 0, 0, 1], [2, 0, 0, 1], [0, 1, 3, 0], [-4, 0, 0, 1], [0, 4, 2, 0], [4, 0, 0, -1], [0, 2, -1, 0], [3, 0, 0, -3], [0, 2, 3, 0], [0, 1, -3, 0], [9, 0, 0, 0], [2, 0, 0, 1], [0, 2, -5, 0], [0, 1, 4, 0], [0, 2, -4, 0], [0, 3, 8, 0], [1, 0, 0, -1], [0, -1, -6, 0], [0, 2, 11, 0], [0, -4, -8, 0], [0, 3, -6, 0], [5, 0, 0, -2], [1, 0, 0, 2], [0, 0, 0, 0], [9, 0, 0, 2], [0, -2, 7, 0], [7, 0, 0, 4], [0, 2, 6, 0], [9, 0, 0, 0], [3, 0, 0, 3], [-4, 0, 0, -2], [4, 0, 0, -1], [0, -1, -3, 0], [0, -1, -7, 0], [-5, 0, 0, 0], [15, 0, 0, 0], [0, -7, -9, 0], [-1, 0, 0, -5], [-10, 0, 0, 0], [0, -1, -4, 0], [0, 4, 14, 0], [-6, 0, 0, -3], [0, 0, 0, -3], [0, 5, -3, 0], [0, -1, -10, 0], [2, 0, 0, 1], [0, -10, -1, 0], [-18, 0, 0, -3], [-14, 0, 0, 2], [13, 0, 0, 2], [0, -7, -4, 0], [0, 5, -9, 0], [0, 2, -10, 0], [3, 0, 0, -3], [3, 0, 0, 6], [0, -6, -10, 0], [-3, 0, 0, -3], [-19, 0, 0, 4], [0, -2, 12, 0], [10, 0, 0, -4], [-3, 0, 0, -2], [0, 0, 0, -9], [0, -8, 7, 0], [0, 5, 6, 0], [0, 7, -1, 0], [0, 2, 16, 0], [0, -4, -10, 0], [0, 2, 2, 0], [1, 0, 0, 4], [0, -7, -1, 0], [-14, 0, 0, -5], [0, -10, 2, 0], [0, -1, 0, 0], [0, 2, -22, 0], [0, -7, 9, 0], [4, 0, 0, -3], [-30, 0, 0, -3], [-6, 0, 0, 6], [0, -1, -26, 0], [-21, 0, 0, 0], [-22, 0, 0, 0], [0, 0, -15, 0], [0, 1, 16, 0], [10, 0, 0, -3], [-15, 0, 0, 0], [-16, 0, 0, 1], [0, 8, -7, 0], [9, 0, 0, 6], [0, 6, -6, 0], [0, -5, -12, 0], [9, 0, 0, -8], [-13, 0, 0, -2], [0, -6, -12, 0], [0, 8, 14, 0], [0, -7, -7, 0], [0, 9, -2, 0], [3, 0, 0, -2], [-12, 0, 0, -3], [-22, 0, 0, 4], [20, 0, 0, 4], [-13, 0, 0, 2], [13, 0, 0, -9], [0, -5, -10, 0], [0, 6, -3, 0], [0, 2, 12, 0], [0, 2, 18, 0], [0, 2, -4, 0], [0, 1, 15, 0], [8, 0, 0, -5], [17, 0, 0, 4], [0, 11, 8, 0], [0, 14, 9, 0], [13, 0, 0, 2], [0, 8, 17, 0], [-16, 0, 0, 1], [-14, 0, 0, 2], [0, -7, -22, 0], [0, -7, -14, 0], [20, 0, 0, 4], [0, 7, -21, 0], [0, 5, 18, 0], [16, 0, 0, 9], [0, 7, -2, 0], [0, 2, -12, 0], [0, 5, 1, 0], [6, 0, 0, 9], [0, 5, -5, 0], [0, 14, 14, 0], [0, -2, 30, 0], [0, 0, -27, 0], [20, 0, 0, -2], [-15, 0, 0, 6], [0, 0, 0, -6], [-15, 0, 0, 6], [0, -2, 16, 0], [-27, 0, 0, 1], [0, -7, -4, 0], [-15, 0, 0, 1], [-6, 0, 0, 9], [-22, 0, 0, 5], [22, 0, 0, -1], [-5, 0, 0, -7], [0, 11, -4, 0], [-16, 0, 0, -8], [21, 0, 0, -6], [0, -14, -15, 0], [0, 6, 33, 0], [0, -3, -22, 0], [-15, 0, 0, -6], [0, -19, -3, 0], [0, -1, 26, 0], [-36, 0, 0, -3], [0, -8, 7, 0], [-15, 0, 0, 6], [0, 16, 1, 0], [0, 15, 9, 0], [0, 4, 31, 0], [8, 0, 0, 4], [4, 0, 0, -2], [0, -4, 21, 0], [0, 0, 0, -15], [0, -3, 9, 0], [-32, 0, 0, -7], [0, 1, 16, 0], [0, -8, -10, 0], [49, 0, 0, 2], [0, -17, -14, 0], [-7, 0, 0, -12], [28, 0, 0, -1], [0, 6, -11, 0], [0, 3, -10, 0], [38, 0, 0, 1], [0, 0, -12, 0], [-5, 0, 0, 2], [34, 0, 0, -4], [0, -5, -29, 0], [0, -7, -4, 0], [9, 0, 0, 1], [0, 8, -17, 0], [-7, 0, 0, -8], [-14, 0, 0, 2], [-20, 0, 0, 7], [-33, 0, 0, 3], [0, 15, 23, 0], [14, 0, 0, 4], [0, -7, -1, 0], [0, 2, -4, 0], [0, -9, -11, 0], [0, -6, 8, 0], [0, -2, 34, 0], [-4, 0, 0, 7], [0, 0, 12, 0], [6, 0, 0, -6], [11, 0, 0, 10], [0, -19, -17, 0], [0, -18, 0, 0], [10, 0, 0, 11], [0, 3, 11, 0], [55, 0, 0, 2], [-8, 0, 0, 17], [8, 0, 0, -5], [-24, 0, 0, 7], [-21, 0, 0, 6], [0, 6, 2, 0], [0, 0, -45, 0], [54, 0, 0, 0], [0, -20, -12, 0], [11, 0, 0, 8], [-15, 0, 0, 0], [0, 3, 33, 0], [-3, 0, 0, 6], [13, 0, 0, 2], [0, -15, -17, 0], [-38, 0, 0, -1], [0, 9, 8, 0], [-30, 0, 0, -3], [-59, 0, 0, 2], [0, -1, 23, 0], [-15, 0, 0, 0], [0, -16, -5, 0], [6, 0, 0, 12], [-24, 0, 0, -10], [0, -23, -12, 0], [0, 7, -33, 0], [18, 0, 0, 0], [0, 0, 32, 0], [0, 13, -8, 0], [0, 6, 4, 0], [0, -3, -27, 0], [2, 0, 0, -17], [37, 0, 0, -4], [0, -8, -14, 0], [-49, 0, 0, -2], [-44, 0, 0, 5], [2, 0, 0, -17], [-4, 0, 0, -2], [40, 0, 0, -7], [-45, 0, 0, 0], [0, -16, -25, 0], [0, -4, 13, 0], [0, -7, 11, 0], [0, -5, -40, 0], [0, 3, 33, 0], [0, 8, -7, 0], [0, -21, -16, 0], [-24, 0, 0, 0], [0, 0, 0, -3], [0, 13, -21, 0], [0, 17, 19, 0], [21, 0, 0, -6], [54, 0, 0, -1], [0, -2, 24, 0], [0, -8, 4, 0], [-54, 0, 0, 0], [0, -7, -2, 0], [46, 0, 0, 8], [0, 12, 7, 0], [0, 1, 7, 0], [0, -16, -34, 0], [0, -4, -9, 0], [15, 0, 0, 0], [12, 0, 0, 15], [0, 14, 3, 0], [0, -16, -24, 0], [0, 7, -24, 0], [17, 0, 0, -14], [19, 0, 0, -12], [19, 0, 0, -1], [-42, 0, 0, -8], [0, 5, 21, 0], [0, -14, -32, 0], [4, 0, 0, -1], [0, -3, 13, 0], [0, 11, 35, 0], [0, 0, 41, 0], [-7, 0, 0, 19], [39, 0, 0, -9], [0, 2, -27, 0], [0, -8, -17, 0], [29, 0, 0, 5], [27, 0, 0, 3], [0, -4, 5, 0], [0, -3, 6, 0], [-12, 0, 0, -12], [0, -10, 11, 0], [-45, 0, 0, 4], [0, -10, 17, 0], [0, -25, -6, 0], [30, 0, 0, 3], [2, 0, 0, 7], [27, 0, 0, 4], [0, -7, 6, 0], [0, -10, -13, 0], [0, 3, 4, 0], [-25, 0, 0, -2], [0, -2, -42, 0], [20, 0, 0, -17], [-14, 0, 0, 14], [0, 2, -30, 0], [0, 7, -29, 0], [14, 0, 0, -2], [18, 0, 0, 3], [0, 6, 21, 0], [0, 7, 4, 0], [28, 0, 0, -11], [0, 8, -1, 0], [0, -5, -30, 0], [-30, 0, 0, -3], [-15, 0, 0, 6], [0, 28, 18, 0], [13, 0, 0, 8], [0, 22, 12, 0], [0, 23, 18, 0], [-41, 0, 0, -10], [-11, 0, 0, -11], [0, 5, 17, 0], [0, -26, -22, 0], [0, -7, 27, 0], [33, 0, 0, -2], [0, 7, 13, 0], [0, -11, 28, 0], [-53, 0, 0, -4], [9, 0, 0, 18], [-42, 0, 0, -7], [-63, 0, 0, -6], [0, 4, -21, 0], [-15, 0, 0, 0], [0, 19, 5, 0], [0, -3, 0, 0], [-2, 0, 0, 17], [0, -14, 8, 0], [-33, 0, 0, -12], [0, -16, 2, 0], [37, 0, 0, -7], [0, -8, -19, 0], [0, 11, -7, 0], [19, 0, 0, -1], [-40, 0, 0, 7], [-10, 0, 0, -14], [0, 0, -9, 0], [0, -7, 47, 0], [-9, 0, 0, -20], [-12, 0, 0, -7], [34, 0, 0, -16], [0, 20, 13, 0], [0, 13, 0, 0], [-18, 0, 0, -12], [0, -13, 20, 0], [0, 1, -53, 0], [42, 0, 0, 3], [33, 0, 0, 15], [0, -19, -9, 0], [15, 0, 0, -18], [0, 0, 0, -3], [0, 3, 27, 0], [-5, 0, 0, 12], [-58, 0, 0, 7], [-1, 0, 0, -2], [0, -3, 25, 0], [0, 16, -25, 0], [-13, 0, 0, -2], [-20, 0, 0, 8], [34, 0, 0, 11], [0, 15, -6, 0], [0, -2, 44, 0], [14, 0, 0, -1], [23, 0, 0, 4], [0, -29, -17, 0], [0, 4, -3, 0], [0, -32, -8, 0], [13, 0, 0, 2], [0, 7, 13, 0], [0, 10, 49, 0], [4, 0, 0, 20], [33, 0, 0, -12], [0, -5, -40, 0], [17, 0, 0, 16], [10, 0, 0, -13], [18, 0, 0, 0], [0, 25, 11, 0], [0, 7, -32, 0], [0, 5, 24, 0], [-12, 0, 0, 12], [-51, 0, 0, 6], [36, 0, 0, 0], [0, 15, 6, 0], [0, 1, 15, 0], [0, -2, -16, 0], [0, -7, -40, 0], [0, -9, 20, 0], [5, 0, 0, -11], [17, 0, 0, 6], [-54, 0, 0, 3], [0, -3, -14, 0], [0, 5, -34, 0], [-55, 0, 0, -2], [-10, 0, 0, 3], [0, 12, 7, 0], [30, 0, 0, 3], [0, 11, -8, 0], [54, 0, 0, 0], [-51, 0, 0, 6], [32, 0, 0, 1], [0, 5, 41, 0], [0, -22, 15, 0], [0, 28, 15, 0], [-53, 0, 0, 8], [10, 0, 0, 20], [-47, 0, 0, -1], [0, 2, -16, 0], [0, -2, -62, 0], [0, -25, -16, 0], [0, -12, -20, 0], [-12, 0, 0, -6], [20, 0, 0, 4], [17, 0, 0, 4], [-72, 0, 0, 3], [0, -22, -7, 0], [7, 0, 0, 5], [0, 0, 0, -9], [19, 0, 0, -10]], 'char_orbit_index': 1, 'field_poly': [-1, 10, -9, -2, 1], 'hecke_orbit_code': 184647584755753232, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 5, 5, 5], 'hecke_ring_inverse_denominators': [1, 2, 2, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [1, 0, -2, 1], [11, 4, 0, 1], [8, 3, -11, 5]], 'hecke_ring_numerators': [[1, 0, 0, 0], [-8, -11, 1, 1], [-9, 17, 3, -2], [-23, 44, 6, -4]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '8464.2.a.bp', 'level': 8464, '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': [60, 66, 61, 55], 'ALdims_eis_new': [0, 0, 10, 11], 'ALdims_eis_old': [35, 36, 26, 25], 'ALdims_old': [193, 198, 203, 197], 'Nk2': 33856, 'analytic_conductor': 67.58538027081171, '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': [8464, 1, [7407, 2117, 6353], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1033, 'dim': 242, 'eis_dim': 143, 'eis_new_dim': 21, 'hecke_cutter_primes': [3, 5, 7, 13], 'hecke_orbit_code': 33562896, 'hecke_orbit_dims': [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, 3, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 6, 6, 8, 8, 8, 10, 10, 12, 15, 15, 15, 15], 'label': '8464.2.a', 'level': 8464, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 23], 'level_radical': 46, 'mf_dim': 1176, 'mf_new_dim': 263, 'num_forms': 62, 'plus_dim': 115, 'prim_orbit_index': 1, 'relative_dim': 242, 'sturm_bound': 2208, 'trace_bound': 13, 'trace_display': [0, -2, 2, -4], 'traces': [242, 0, -2, 0, 2, 0, -4, 0, 224, 0, 0, 0, 2, 0, 0, 0, 2, 0, -4, 0, 0, 0, 0, 0, 204, 0, -8, 0, 2, 0, -10, 0, 8, 0, 0, 0, 10, 0, -20, 0, -6, 0, 0, 0, 10, 0, 44, 0, 176, 0, -4, 0, 10, 0, 24, 0, -8, 0, -2, 0, 18, 0, -32, 0, -12, 0, 8, 0, 0, 0, 6, 0, 2, 0, -6, 0, 8, 0, -28, 0, 162, 0, 20, 0, 12, 0, 40, 0, -6, 0, -4, 0, -22, 0, -8, 0, -6, 0, 8, 0, 18, 0, 36, 0, 24, 0, 28, 0, 10, 0, 24, 0, 10, 0, 0, 0, 34, 0, 36, 0, 136, 0, 16, 0, 12, 0, -30, 0, 0, 0, 34, 0, -16, 0, -16, 0, -22, 0, -32, 0, 24, 0, -16, 0, -20, 0, 8, 0, -14, 0, 10, 0, 2, 0, 48, 0, -22, 0, -28, 0, 0, 0, -14, 0, 24, 0, -22, 0, 92, 0, 56, 0, 18, 0, -52, 0, -24, 0, -66, 0, -22, 0, 12, 0, -10, 0, 16, 0, -8, 0, 16, 0, -14, 0, -88, 0, 2, 0, 0, 0, 0, 0, -52, 0, -28, 0, 0, 0, 0, 0, -46, 0, -8, 0, -12, 0, -16, 0, 44, 0, 4, 0, -98, 0, 162, 0, 12, 0, -30, 0, 86, 0, -6, 0, 16, 0, -48, 0, 54, 0, 26, 0, -6, 0, -6, 0, -68, 0, 48, 0, 76, 0, 0, 0, 110, 0, 2, 0, -4, 0, 10, 0, -20, 0, -12, 0, 96, 0, -62, 0, 62, 0, 24, 0, -40, 0, -28, 0, -26, 0, 26, 0, -16, 0, -66, 0, 60, 0, 52, 0, 28, 0, -62, 0, 104, 0, 48, 0, 0, 0, -16, 0, 100, 0, -12, 0, 2, 0, -64, 0, 26, 0, -14, 0, 160, 0, 66, 0, -56, 0, 32, 0, -98, 0, 22, 0, -8, 0, 80, 0, -94, 0, 42, 0, 8, 0, 18, 0, 124, 0, 32, 0, -32, 0, 0, 0, 38, 0, -22, 0, -12, 0, -6, 0, 88, 0, -56, 0, -76, 0, 64, 0, -74, 0, -20, 0, 44, 0, 20, 0, 206, 0, 18, 0, 8, 0, 12, 0, -72, 0, -80, 0, -40, 0, 24, 0, -192, 0, -6, 0, 0, 0, 32, 0, -92, 0, -22, 0, -24, 0, 82, 0, 12, 0, -6, 0, -132, 0, -54, 0, 64, 0, 16, 0, 94, 0, 0, 0, 64, 0, 82, 0, 216, 0, -10, 0, 28, 0, 8, 0, -104, 0, -62, 0, 16, 0, 0, 0, 30, 0, 82, 0, 86, 0, 4, 0, -84, 0, 74, 0, 136, 0, 48, 0, 84, 0, -14, 0, -124, 0, -44, 0, -34, 0, -8, 0, -36, 0, 24, 0, 104, 0, 64, 0, 36, 0, -14, 0, 108, 0, -52, 0, 0, 0, -114, 0, 130, 0, 24, 0, 14, 0, 124, 0, 190, 0, -8, 0, 142, 0, -112, 0, -68, 0, -60, 0, -84, 0, -86, 0, -36, 0, -72, 0, -164, 0, -64, 0, 12, 0, -30, 0, 100, 0, 8, 0, -76, 0, 0, 0, -14, 0, 36, 0, -20, 0, -32, 0, 56, 0, 74, 0, -192, 0, -44, 0, -86, 0, -30, 0, 68, 0, -70, 0, 96, 0, -62, 0, 32, 0, -58, 0, -32, 0, 60, 0, -76, 0, -54, 0, -116, 0, -16, 0, 0, 0, -70, 0, -152, 0, 8, 0, -32, 0, -92, 0, -102, 0, 64, 0, -220, 0, 50, 0, 72, 0, -64, 0, 180, 0, 18, 0, 104, 0, -62, 0, 142, 0, 96, 0, -44, 0, 26, 0, -176, 0, 26, 0, 16, 0, 0, 0, 0, 0, -82, 0, 218, 0, -52, 0, -128, 0, -72, 0, 176, 0, 10, 0, 138, 0, 26, 0, -96, 0, -70, 0, -110, 0, 16, 0, -44, 0, -22, 0, 200, 0, -70, 0, 44, 0, 26, 0, 244, 0, 96, 0, 0, 0, -88, 0, 144, 0, -62, 0, -16, 0, -94, 0, 0, 0, -8, 0, 170, 0, 36, 0, -96, 0, 68, 0, -36, 0, -58, 0, -56, 0, 76, 0, -30, 0, 34, 0, -64, 0, 40, 0, 112, 0, 58, 0, -80, 0, 0, 0, 66, 0, -56, 0, -58, 0, -8, 0, 184, 0, -58, 0, -232, 0, 80, 0, -104, 0, 42, 0, 104, 0, -30, 0, 74, 0, 112, 0, 100, 0, -28, 0, -192, 0, -48, 0, 48, 0, 48, 0, -168, 0, 98, 0, 0, 0, 2, 0, -128, 0, 84, 0, 222, 0, 90, 0, -12, 0, 42, 0, -238, 0, -120, 0, 148, 0, 72, 0, 222, 0, -92, 0, 32, 0, 48, 0, 232, 0, -116, 0, 32, 0, 42, 0, -124, 0, -102, 0, 96, 0, 0, 0, -32, 0, 74, 0, -10, 0, 16, 0, -80, 0, 48, 0, 272, 0, 66, 0, 110, 0, -16, 0, -24, 0, 20, 0, -92, 0, -38, 0, -16, 0, -82, 0, 60, 0, 12, 0, -36, 0, 182, 0, 260, 0, -112, 0, 0, 0, 90, 0, 180, 0, -70, 0, 22, 0, 152, 0, 90, 0, 36, 0, 246, 0, -96, 0, -120, 0, -78, 0, -230, 0, 10, 0, -104, 0, -126, 0, -78, 0, -32, 0, 42, 0, -64, 0, 136, 0, -128, 0, -24, 0, 0, 0, 4, 0, 68, 0, -64, 0, 12, 0, 100, 0, -236, 0, -204, 0, -104, 0, 182, 0, -24, 0, 108, 0, -86, 0, 72, 0, 30, 0, 24, 0, 2, 0, -196, 0, 88, 0, -136, 0, -54, 0, -264, 0, -94, 0, 0, 0, -78, 0, -90, 0, -20, 0, 64, 0, -142, 0, 0, 0, -16, 0, -208, 0, 0, 0, 112, 0, -92, 0, 100, 0, 72, 0, 36, 0, -152, 0, 270, 0, 74, 0, 32, 0, -78, 0, -124, 0, 60, 0, 100, 0, 0, 0, 22, 0, -96, 0, 124, 0, 66, 0, -184, 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: 1392964
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 42, 'source_is_minimal': False, 'source_label': '8464.2.a.bp', 'source_level': 8464, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 8, 'target_is_minimal': True, 'target_label': '529.2.a.h', 'target_level': 529, 'twist_class_label': '529.2.a.h', 'twist_class_level': 529, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1392965
    {'conductor': 92, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 42, 'source_is_minimal': False, 'source_label': '8464.2.a.bp', 'source_level': 8464, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 8, 'target_is_minimal': True, 'target_label': '529.2.a.h', 'target_level': 529, 'twist_class_label': '529.2.a.h', 'twist_class_level': 529, 'twisting_char_label': '92.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1392966
    {'conductor': 92, 'degree': 10, 'multiplicity': 10, 'order': 22, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 42, 'source_is_minimal': False, 'source_label': '8464.2.a.bp', 'source_level': 8464, 'target_char_orbit': 3, 'target_dim': 40, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '529.2.c.q', 'target_level': 529, 'twist_class_label': '529.2.a.h', 'twist_class_level': 529, 'twisting_char_label': '92.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 1392967
    {'conductor': 92, 'degree': 10, 'multiplicity': 10, 'order': 22, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 42, 'source_is_minimal': False, 'source_label': '8464.2.a.bp', 'source_level': 8464, 'target_char_orbit': 3, 'target_dim': 40, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '529.2.c.q', 'target_level': 529, 'twist_class_label': '529.2.a.h', 'twist_class_level': 529, 'twisting_char_label': '92.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1392968
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 42, 'source_is_minimal': False, 'source_label': '8464.2.a.bp', 'source_level': 8464, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 35, 'target_is_minimal': False, 'target_label': '4761.2.a.bi', 'target_level': 4761, 'twist_class_label': '529.2.a.h', 'twist_class_level': 529, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1392969
    {'conductor': 276, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 42, 'source_is_minimal': False, 'source_label': '8464.2.a.bp', 'source_level': 8464, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 35, 'target_is_minimal': False, 'target_label': '4761.2.a.bi', 'target_level': 4761, 'twist_class_label': '529.2.a.h', 'twist_class_level': 529, 'twisting_char_label': '276.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1392970
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 42, 'source_is_minimal': False, 'source_label': '8464.2.a.bp', 'source_level': 8464, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 42, 'target_is_minimal': False, 'target_label': '8464.2.a.bp', 'target_level': 8464, 'twist_class_label': '529.2.a.h', 'twist_class_level': 529, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1392971
    {'conductor': 23, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 42, 'source_is_minimal': False, 'source_label': '8464.2.a.bp', 'source_level': 8464, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 42, 'target_is_minimal': False, 'target_label': '8464.2.a.bp', 'target_level': 8464, 'twist_class_label': '529.2.a.h', 'twist_class_level': 529, 'twisting_char_label': '23.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4761725
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 184647584755753232, 'p': 2}
  • id: 4761726
    {'charpoly_factorization': [[[-1, 1], 4]], 'hecke_orbit_code': 184647584755753232, 'p': 3}
  • id: 4761727
    {'charpoly_factorization': [[[36, 0, -14, 0, 1], 1]], 'hecke_orbit_code': 184647584755753232, 'p': 5}
  • id: 4761728
    {'charpoly_factorization': [[[36, 0, -14, 0, 1], 1]], 'hecke_orbit_code': 184647584755753232, 'p': 7}
  • id: 4761729
    {'charpoly_factorization': [[[36, 0, -14, 0, 1], 1]], 'hecke_orbit_code': 184647584755753232, 'p': 11}
  • id: 4761730
    {'charpoly_factorization': [[[-9, 4, 1], 2]], 'hecke_orbit_code': 184647584755753232, 'p': 13}
  • id: 4761731
    {'charpoly_factorization': [[[36, 0, -38, 0, 1], 1]], 'hecke_orbit_code': 184647584755753232, 'p': 17}
  • id: 4761732
    {'charpoly_factorization': [[[-2, 0, 1], 2]], 'hecke_orbit_code': 184647584755753232, 'p': 19}
  • id: 4761733
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 184647584755753232, 'p': 23}
  • id: 4761734
    {'charpoly_factorization': [[[3, 8, 1], 2]], 'hecke_orbit_code': 184647584755753232, 'p': 29}
  • id: 4761735
    {'charpoly_factorization': [[[-9, -4, 1], 2]], 'hecke_orbit_code': 184647584755753232, 'p': 31}
  • id: 4761736
    {'charpoly_factorization': [[[36, 0, -38, 0, 1], 1]], 'hecke_orbit_code': 184647584755753232, 'p': 37}
  • id: 4761737
    {'charpoly_factorization': [[[3, 8, 1], 2]], 'hecke_orbit_code': 184647584755753232, 'p': 41}
  • id: 4761738
    {'charpoly_factorization': [[[-104, 0, 1], 2]], 'hecke_orbit_code': 184647584755753232, 'p': 43}
  • id: 4761739
    {'charpoly_factorization': [[[3, -8, 1], 2]], 'hecke_orbit_code': 184647584755753232, 'p': 47}
  • id: 4761740
    {'charpoly_factorization': [[[324, 0, -68, 0, 1], 1]], 'hecke_orbit_code': 184647584755753232, 'p': 53}
  • id: 4761741
    {'charpoly_factorization': [[[-108, -6, 1], 2]], 'hecke_orbit_code': 184647584755753232, 'p': 59}
  • id: 4761742
    {'charpoly_factorization': [[[324, 0, -68, 0, 1], 1]], 'hecke_orbit_code': 184647584755753232, 'p': 61}
  • id: 4761743
    {'charpoly_factorization': [[[324, 0, -62, 0, 1], 1]], 'hecke_orbit_code': 184647584755753232, 'p': 67}
  • id: 4761744
    {'charpoly_factorization': [[[-9, 1], 4]], 'hecke_orbit_code': 184647584755753232, 'p': 71}
  • id: 4761745
    {'charpoly_factorization': [[[-9, -4, 1], 2]], 'hecke_orbit_code': 184647584755753232, 'p': 73}
  • id: 4761746
    {'charpoly_factorization': [[[2116, 0, -196, 0, 1], 1]], 'hecke_orbit_code': 184647584755753232, 'p': 79}
  • id: 4761747
    {'charpoly_factorization': [[[324, 0, -62, 0, 1], 1]], 'hecke_orbit_code': 184647584755753232, 'p': 83}
  • id: 4761748
    {'charpoly_factorization': [[[576, 0, -152, 0, 1], 1]], 'hecke_orbit_code': 184647584755753232, 'p': 89}
  • id: 4761749
    {'charpoly_factorization': [[[676, 0, -286, 0, 1], 1]], 'hecke_orbit_code': 184647584755753232, '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': 42, 'label': '8464.2.a.bp', 'level': 8464, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 70758283
    {'hecke_orbit_code': 184647584755753232, 'n': 1, 'trace_an': 4}
  • id: 70758284
    {'hecke_orbit_code': 184647584755753232, 'n': 2, 'trace_an': 0}
  • id: 70758285
    {'hecke_orbit_code': 184647584755753232, 'n': 3, 'trace_an': 4}
  • id: 70758286
    {'hecke_orbit_code': 184647584755753232, 'n': 4, 'trace_an': 0}
  • id: 70758287
    {'hecke_orbit_code': 184647584755753232, 'n': 5, 'trace_an': 0}
  • id: 70758288
    {'hecke_orbit_code': 184647584755753232, 'n': 6, 'trace_an': 0}
  • id: 70758289
    {'hecke_orbit_code': 184647584755753232, 'n': 7, 'trace_an': 0}
  • id: 70758290
    {'hecke_orbit_code': 184647584755753232, 'n': 8, 'trace_an': 0}
  • id: 70758291
    {'hecke_orbit_code': 184647584755753232, 'n': 9, 'trace_an': -8}
  • id: 70758292
    {'hecke_orbit_code': 184647584755753232, 'n': 10, 'trace_an': 0}
  • id: 70758293
    {'hecke_orbit_code': 184647584755753232, 'n': 11, 'trace_an': 0}
  • id: 70758294
    {'hecke_orbit_code': 184647584755753232, 'n': 12, 'trace_an': 0}
  • id: 70758295
    {'hecke_orbit_code': 184647584755753232, 'n': 13, 'trace_an': -8}
  • id: 70758296
    {'hecke_orbit_code': 184647584755753232, 'n': 14, 'trace_an': 0}
  • id: 70758297
    {'hecke_orbit_code': 184647584755753232, 'n': 15, 'trace_an': 0}
  • id: 70758298
    {'hecke_orbit_code': 184647584755753232, 'n': 16, 'trace_an': 0}
  • id: 70758299
    {'hecke_orbit_code': 184647584755753232, 'n': 17, 'trace_an': 0}
  • id: 70758300
    {'hecke_orbit_code': 184647584755753232, 'n': 18, 'trace_an': 0}
  • id: 70758301
    {'hecke_orbit_code': 184647584755753232, 'n': 19, 'trace_an': 0}
  • id: 70758302
    {'hecke_orbit_code': 184647584755753232, 'n': 20, 'trace_an': 0}
  • id: 70758303
    {'hecke_orbit_code': 184647584755753232, 'n': 21, 'trace_an': 0}
  • id: 70758304
    {'hecke_orbit_code': 184647584755753232, 'n': 22, 'trace_an': 0}
  • id: 70758305
    {'hecke_orbit_code': 184647584755753232, 'n': 23, 'trace_an': 0}
  • id: 70758306
    {'hecke_orbit_code': 184647584755753232, 'n': 24, 'trace_an': 0}
  • id: 70758307
    {'hecke_orbit_code': 184647584755753232, 'n': 25, 'trace_an': 8}
  • id: 70758308
    {'hecke_orbit_code': 184647584755753232, 'n': 26, 'trace_an': 0}
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  • id: 70758504
    {'hecke_orbit_code': 184647584755753232, 'n': 757, 'trace_an': 0}
  • id: 70758505
    {'hecke_orbit_code': 184647584755753232, 'n': 761, 'trace_an': 24}
  • id: 70758506
    {'hecke_orbit_code': 184647584755753232, 'n': 769, 'trace_an': 0}
  • id: 70758507
    {'hecke_orbit_code': 184647584755753232, 'n': 773, 'trace_an': 0}
  • id: 70758508
    {'hecke_orbit_code': 184647584755753232, 'n': 787, 'trace_an': 0}
  • id: 70758509
    {'hecke_orbit_code': 184647584755753232, 'n': 797, 'trace_an': 0}
  • id: 70758510
    {'hecke_orbit_code': 184647584755753232, 'n': 809, 'trace_an': 80}
  • id: 70758511
    {'hecke_orbit_code': 184647584755753232, 'n': 811, 'trace_an': -60}
  • id: 70758512
    {'hecke_orbit_code': 184647584755753232, 'n': 821, 'trace_an': 0}
  • id: 70758513
    {'hecke_orbit_code': 184647584755753232, 'n': 823, 'trace_an': -60}
  • id: 70758514
    {'hecke_orbit_code': 184647584755753232, 'n': 827, 'trace_an': 0}
  • id: 70758515
    {'hecke_orbit_code': 184647584755753232, 'n': 829, 'trace_an': -108}
  • id: 70758516
    {'hecke_orbit_code': 184647584755753232, 'n': 839, 'trace_an': 0}
  • id: 70758517
    {'hecke_orbit_code': 184647584755753232, 'n': 841, 'trace_an': 0}
  • id: 70758518
    {'hecke_orbit_code': 184647584755753232, 'n': 853, 'trace_an': -60}
  • id: 70758519
    {'hecke_orbit_code': 184647584755753232, 'n': 857, 'trace_an': -24}
  • id: 70758520
    {'hecke_orbit_code': 184647584755753232, 'n': 859, 'trace_an': -88}
  • id: 70758521
    {'hecke_orbit_code': 184647584755753232, 'n': 863, 'trace_an': 88}
  • id: 70758522
    {'hecke_orbit_code': 184647584755753232, 'n': 877, 'trace_an': -20}
  • id: 70758523
    {'hecke_orbit_code': 184647584755753232, 'n': 881, 'trace_an': 0}
  • id: 70758524
    {'hecke_orbit_code': 184647584755753232, 'n': 883, 'trace_an': -64}
  • id: 70758525
    {'hecke_orbit_code': 184647584755753232, 'n': 887, 'trace_an': 84}
  • id: 70758526
    {'hecke_orbit_code': 184647584755753232, 'n': 907, 'trace_an': 0}
  • id: 70758527
    {'hecke_orbit_code': 184647584755753232, 'n': 911, 'trace_an': 0}
  • id: 70758528
    {'hecke_orbit_code': 184647584755753232, 'n': 919, 'trace_an': 0}
  • id: 70758529
    {'hecke_orbit_code': 184647584755753232, 'n': 929, 'trace_an': -60}
  • id: 70758530
    {'hecke_orbit_code': 184647584755753232, 'n': 937, 'trace_an': 0}
  • id: 70758531
    {'hecke_orbit_code': 184647584755753232, 'n': 941, 'trace_an': 0}
  • id: 70758532
    {'hecke_orbit_code': 184647584755753232, 'n': 947, 'trace_an': -144}
  • id: 70758533
    {'hecke_orbit_code': 184647584755753232, 'n': 953, 'trace_an': 0}
  • id: 70758534
    {'hecke_orbit_code': 184647584755753232, 'n': 961, 'trace_an': -56}
  • id: 70758535
    {'hecke_orbit_code': 184647584755753232, 'n': 967, 'trace_an': -60}
  • id: 70758536
    {'hecke_orbit_code': 184647584755753232, 'n': 971, 'trace_an': 0}
  • id: 70758537
    {'hecke_orbit_code': 184647584755753232, 'n': 977, 'trace_an': 0}
  • id: 70758538
    {'hecke_orbit_code': 184647584755753232, 'n': 983, 'trace_an': 0}
  • id: 70758539
    {'hecke_orbit_code': 184647584755753232, 'n': 991, 'trace_an': 32}
  • id: 70758540
    {'hecke_orbit_code': 184647584755753232, 'n': 997, 'trace_an': 16}