Newform data - 9025.2.a.bl

Formats: - HTML - YAML - JSON - 2026-08-16T10:57:57.958248

• 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': 36100, 'analytic_conductor': 72.06498782420555, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[5, 1], [19, 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': [9025, 1, [5777, 3251], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 2000, 'field_disc_factorization': [[2, 4], [5, 3]], 'field_poly': [5, 0, -5, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 20, 'fricke_eigenval': 1, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [5, 0, -5, 0, 1]], [3, [5, 0, -5, 0, 1]], [7, [-1, -4, 1]], [11, [-5, 5, 1]], [29, [605, 0, -85, 0, 1]]], 'hecke_orbit': 38, 'hecke_orbit_code': 166633186246271809, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 19, 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': '9025.2.a.bl', 'level': 9025, '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': [5, 19], 'level_radical': 95, 'minimal_twist': '1805.2.a.l', 'nf_label': '4.4.2000.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{2}+\\beta _{1}q^{3}+(1+\\beta _{2})q^{4}+(3+\\beta _{2}+\\cdots)q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '9025.2.a', 'trace_display': [0, 0, 0, 8], 'trace_hash': 1101987725985273859, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '3.877', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '77.393', 'prec': 17}, 0, {'__RealLiteral__': 0, 'data': '2114.314', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.520', 'prec': 10}, 'traces': [4, 0, 0, 2, 0, 10, 8, 0, -2, 0, -10, 0, 0, 0, 0, -14, -12, 0, 0, 0, 0, 0, 6, -10, 0, -10, 0, 14, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, -10, 0, 0, 30, -6, -20, 0, 0, -12, 0, 8, 0, 0, 0, 0, -30, 0, 0, 0, 10, 0, 0, -20, 10, 6, 8, 0, -40, 0, -16, 0, 0, 0, 0, 4, -10, 0, 0, -50, 0, 0, 0, -24, -30, 44, 0, 0, 0, 10, 0, 0, 0, 0, -22, 10, 0, 0, -20, 0, 0, -10, 0, 40, -40, 0, 0, 0, -40, 0, 0, 0, 0, -10, -38, 0, 0, 0, 0, 0, 80, -44, 0, 26, 0, -30, 0, 0, 0, 0, 0, 0, 0, -58, 0, 0, -50, 0, 0, -48, -10, -66, 0, 0, -30, 0, 2, 0, 0, 0, 0, 6, 0, 0, 0, -4, 0, 0, -20, -2, -40, -40, 0, -38, 0, 56, 0, 0, 0, 0, -10, -32, 0, 0, 2, 0, 0, 0, 50, 80, 10, 0, 0, 0, -50, 0, 0, 0, 0, 60, 14, 0, 0, 52, 0, 0, 20, 0, 44, 12, 0, 0, 0, -50, 0, 0, 0, 0, 60, -28, 0, 0, 0, 0, 0, -30, 50, 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0, 0, 120, -332, 0, 0, 0, 0, 0, 16, -60, 0, 120, 0, 90, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, -30, 0, 0, -20, 220, 92, 0, 0, 172, 0, -4, 0, 0, 0, 0, -30, 0, 0, 0, 70, 0, 0, 100, 10, -170, -80, 0, -170, 0, 10, 0, 0, 0, 0, 100, 230, 0, 0, 184, 0, 0, 0, -12, -40, -10, 0, 0, 0, 120, 0, 0, 0, 0, -42, 26, 0, 0, 110, 0, 0, 10, 0, 30, -20, 0, -30, 0, -80, 0, 0, 0, 0, -268, -50, 0, 0, 0, 0, 0, -20, 216, 0, -150, 0, -336, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 210, 0, 0, -52, 140, 20, 0, 0, 30, 0, -50, 0, 0, 0, 0, 38, 0, 0, 0, 60, 0, 0, -260, -102, 180, -20, 0, -50, 0, -100, 0, 0, 0, 0, 50, 80, 0, 0, -310, 0, 0, 0, 100, 202, 10, 0, 0, 0, -260, 0, 0, 0, 0, -10, -170, 0, 0, 30, 0, 0, 120, 0, 60, 52, 0, -290, 0, 172, 0, 0, 0, 0, 120, 220, 0, 0, 0, 0, 0, 56, -170, 0, -48, 0, 170, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, -160, 0, 0, -60, -60, -50, 0, 0, -2, 0, -120, 0, 0, 0, 0, 10, 0, 0, 0, -124, 0, 0, 40, 190, -70, -10, 0, 36, 0, 270, 0, 0, 0, 0, 120, 4, 0, 0, -118, 0, 0, 0, 150, 22, 220, 0, 0, 0, -190, 0, 0, 0, 0, 260, 120, 0, 0, 280, 0, 0, 60, 0, 80, -10, 0, -20, 0, -50, 0, 0, 0, 0, 2, -130, 0, 0, 0, 0, 0, 70, 6, 0, 22, 0, 260, 0, 0, 0, 0, 0, 0, 0, -90, 0, 0, -20, 0, 0, -60, 44, 280, 0, 0, -280, 0, -320, 0, 0, 0, 0, 36, 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, 1, 0, 0], [0, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [0, -1, 0, 1], [0, 0, 1, 0], [0, 0, 0, 0], [-4, 0, -3, 0], [0, 1, 0, 1], [0, -1, 0, -1], [0, 3, 0, 2], [0, 0, 0, 0], [-4, 0, -1, 0], [-4, 0, -2, 0], [0, 0, 0, 1], [0, 0, 0, 0], [0, 0, 0, 0], [0, 3, 0, 2], [0, -4, 0, -3], [-1, 0, -5, 0], [-2, 0, 1, 0], [0, 0, 0, 0], [-4, 0, -3, 0], [0, -3, 0, 1], [5, 0, 3, 0], [0, 1, 0, -4], [0, 0, 0, 0], [0, 1, 0, 0], [0, -2, 0, -3], [0, -4, 0, -3], [0, -4, 0, -2], [0, 0, 0, 0], [1, 0, 0, 0], [0, -1, 0, 4], [0, 0, 0, 0], [-4, 0, -3, 0], [0, 0, 0, 0], [0, -3, 0, -1], [11, 0, 7, 0], [-1, 0, 1, 0], [-7, 0, -4, 0], [0, 0, 0, 0], [0, -1, 0, -5], [-1, 0, 4, 0], [0, -4, 0, -1], [6, 0, 8, 0], [0, 0, 0, 0], [0, -4, 0, -2], [0, -2, 0, -1], [0, -4, 0, -3], [-8, 0, -1, 0], [0, 0, 0, 0], [0, -1, 0, -1], [0, 0, 0, 0], [-1, 0, -7, 0], [0, 8, 0, -1], [0, 0, 0, 0], [-1, 0, 8, 0], [3, 0, 1, 0], [2, 0, 1, 0], [-1, 0, -6, 0], [0, 0, 0, 0], [-15, 0, -10, 0], [0, -5, 0, 3], [-6, 0, -4, 0], [0, -1, 0, -5], [0, 0, 0, 0], [0, -3, 0, 5], [0, 1, 0, -2], [1, 0, 0, 0], [1, 0, 7, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-18, 0, -11, 0], [0, -4, 0, -3], [0, -4, 0, 2], [0, 0, 0, 0], [-8, 0, -4, 0], [-10, 0, -5, 0], [10, 0, -2, 0], [0, 5, 0, 3], [0, 0, 0, 0], [0, -1, 0, 1], [-1, 0, -7, 0], [0, 1, 0, 2], [0, 1, 0, 5], [0, 0, 0, 0], [0, -5, 0, -3], [-6, 0, -1, 0], [3, 0, 1, 0], [0, -1, 0, 4], [0, 0, 0, 0], [-9, 0, -8, 0], [0, 2, 0, -1], [0, 6, 0, 8], [-3, 0, -1, 0], [0, 0, 0, 0]], 'ap': [[0, 1, 0, 0], [0, 1, 0, 0], [0, 0, 0, 0], [3, 0, 2, 0], [-4, 0, -3, 0], [0, -1, 0, -1], [-4, 0, -2, 0], [0, 0, 0, 0], [-1, 0, -5, 0], [0, 1, 0, -4], [0, 1, 0, 0], [0, -1, 0, 4], [0, -3, 0, -1], [-1, 0, 1, 0], [-1, 0, 4, 0], [0, -4, 0, -3], [0, 8, 0, -1], [-1, 0, 8, 0], [0, -5, 0, 3], [0, -3, 0, 5], [1, 0, 0, 0], [0, -4, 0, 2], [10, 0, -2, 0], [0, 1, 0, 5], [0, 2, 0, -1], [7, 0, -6, 0], [0, 6, 0, 3], [0, 5, 0, -1], [0, -3, 0, 3], [0, -6, 0, -6], [0, -3, 0, -3], [-15, 0, -1, 0], [-11, 0, 2, 0], [-19, 0, -5, 0], [4, 0, 5, 0], [0, -4, 0, 7], [7, 0, 15, 0], [19, 0, 10, 0], [0, 3, 0, -5], [0, 2, 0, 8], [0, 1, 0, 7], [0, -6, 0, 4], [13, 0, 0, 0], [0, -2, 0, 2], [-5, 0, -16, 0], [6, 0, 12, 0], [0, -4, 0, 5], [0, 1, 0, 11], [0, -11, 0, 3], [-20, 0, 3, 0], [-3, 0, 2, 0], [-9, 0, -23, 0], [0, 1, 0, -7], [-3, 0, 0, 0], [0, -2, 0, 6], [6, 0, 0, 0], [0, 6, 0, 7], [8, 0, 1, 0], [-10, 0, -24, 0], [0, -7, 0, -10], [19, 0, 15, 0], [0, 2, 0, -15], [0, -1, 0, -14], [-4, 0, 2, 0], [6, 0, -15, 0], [0, 0, 0, 14], [0, -8, 0, -4], [0, -10, 0, -8], [-14, 0, -4, 0], [3, 0, -9, 0], [-8, 0, 7, 0], [8, 0, -1, 0], [-15, 0, -26, 0], [0, -1, 0, -3], [0, -8, 0, 2], [0, 1, 0, 2], [-19, 0, -3, 0], [9, 0, 24, 0], [0, 6, 0, -2], [0, 4, 0, 12], [20, 0, 10, 0], [0, -3, 0, -5], [0, 3, 0, 1], [0, -3, 0, 10], [0, 11, 0, -13], [-15, 0, -32, 0], [0, 11, 0, -13], [-4, 0, -2, 0], [-8, 0, 0, 0], [-2, 0, 3, 0], [3, 0, 10, 0], [-17, 0, 9, 0], [0, 16, 0, -8], [28, 0, 15, 0], [-32, 0, 4, 0], [-23, 0, -14, 0], [0, 14, 0, 3], [0, -11, 0, -10], [0, 9, 0, -9], [-11, 0, -22, 0], [0, 5, 0, 10], [15, 0, 26, 0], [0, 6, 0, -6], [0, -8, 0, -9], [-24, 0, -3, 0], [-11, 0, 4, 0], [-29, 0, -12, 0], [-17, 0, -6, 0], [0, -9, 0, -11], [0, 8, 0, -4], [0, 11, 0, -4], [-29, 0, 4, 0], [-21, 0, -1, 0], [21, 0, 30, 0], [-35, 0, -10, 0], [0, -23, 0, 6], [36, 0, 4, 0], [-11, 0, 4, 0], [7, 0, 11, 0], [0, 10, 0, -10], [0, -8, 0, -12], [0, -1, 0, -19], [0, -9, 0, -14], [0, -3, 0, -19], [-11, 0, -2, 0], [-35, 0, 5, 0], [30, 0, 10, 0], [-34, 0, 5, 0], [-22, 0, -20, 0], [11, 0, 0, 0], [-29, 0, 2, 0], [0, 5, 0, -3], [0, 29, 0, -4], [10, 0, -21, 0], [-25, 0, 10, 0], [-4, 0, -15, 0], [0, 14, 0, 5], [0, -18, 0, 12], [0, 10, 0, 4], [-39, 0, -23, 0], [0, -10, 0, 5], [-12, 0, -25, 0], [18, 0, -2, 0], [0, 3, 0, 3], [0, 5, 0, 14], [0, -4, 0, 3], [13, 0, 4, 0], [0, 6, 0, -15], [-24, 0, 2, 0], [0, -8, 0, -18], [0, 10, 0, -6], [6, 0, 7, 0], [20, 0, -23, 0], [0, 10, 0, -4], [0, 10, 0, 28], [0, 10, 0, 13], [-5, 0, 20, 0], [32, 0, 9, 0], [-30, 0, 11, 0], [0, -10, 0, -27], [6, 0, -12, 0], [0, -29, 0, 11], [34, 0, -8, 0], [0, -7, 0, -12], [0, 15, 0, 7], [0, 6, 0, 7], [0, 26, 0, 7], [32, 0, 8, 0], [0, 8, 0, 28], [7, 0, 37, 0], [0, -4, 0, 12], [0, -7, 0, -27], [-19, 0, 12, 0], [8, 0, 18, 0], [0, 6, 0, 14], [-22, 0, -7, 0], [-19, 0, -4, 0], [-44, 0, -28, 0], [0, 2, 0, 9], [-13, 0, 16, 0], [13, 0, -18, 0], [0, 8, 0, -24], [0, -25, 0, -11], [0, -2, 0, -27], [15, 0, 38, 0], [33, 0, -4, 0], [0, 9, 0, 15], [0, 5, 0, -9], [0, -21, 0, -21], [-17, 0, -13, 0], [0, -10, 0, 17], [39, 0, 41, 0], [0, 5, 0, 11], [0, -11, 0, -2], [34, 0, -8, 0], [0, 6, 0, 15], [-15, 0, 1, 0], [-9, 0, -6, 0], [21, 0, 16, 0], [16, 0, 24, 0], [0, -14, 0, -5], [0, 22, 0, 10], [0, 3, 0, 35], [0, 8, 0, 19], [-12, 0, 24, 0], [-18, 0, -35, 0], [51, 0, 24, 0], [0, 13, 0, -17], [1, 0, -28, 0], [0, 19, 0, -14], [28, 0, 17, 0], [44, 0, 8, 0], [8, 0, 8, 0], [0, 18, 0, -23], [0, 21, 0, -12], [0, 38, 0, -8], [36, 0, 36, 0], [0, 1, 0, -8], [0, 23, 0, -4], [-11, 0, -14, 0], [0, -2, 0, 23], [0, 14, 0, 37], [0, 18, 0, 32], [-44, 0, 15, 0], [0, 12, 0, 29], [-1, 0, -27, 0], [0, 12, 0, -2], [0, 17, 0, -6], [0, -5, 0, 23], [-34, 0, -7, 0], [-43, 0, -29, 0], [0, 27, 0, 3], [0, 26, 0, -11], [0, -13, 0, -12], [1, 0, -6, 0], [43, 0, -8, 0], [-16, 0, -54, 0], [-16, 0, 25, 0], [-20, 0, 3, 0], [0, 2, 0, 25], [0, 24, 0, -3], [-19, 0, -22, 0], [-22, 0, -7, 0], [0, -4, 0, 24], [0, 8, 0, 10], [48, 0, -9, 0], [-13, 0, -17, 0], [0, -2, 0, -33], [0, -10, 0, -26], [-28, 0, -43, 0], [8, 0, -13, 0], [-5, 0, -11, 0], [-24, 0, 26, 0], [0, -23, 0, -7], [-14, 0, 29, 0], [12, 0, -31, 0], [46, 0, 6, 0], [0, -11, 0, 5], [0, 29, 0, 9], [-10, 0, -39, 0], [0, 6, 0, -29], [0, -5, 0, 7], [17, 0, -33, 0], [0, 19, 0, -23], [25, 0, -16, 0], [0, 9, 0, 21], [0, -2, 0, -8], [-19, 0, -18, 0], [0, -29, 0, 0], [-11, 0, -4, 0], [0, -15, 0, 15], [0, 24, 0, 28], [-1, 0, 20, 0], [-12, 0, 43, 0], [0, 14, 0, 0], [18, 0, -1, 0], [-33, 0, -50, 0], [0, -10, 0, -33], [0, 8, 0, -18], [7, 0, -11, 0], [0, 51, 0, -12], [-49, 0, -28, 0], [14, 0, 27, 0], [0, 13, 0, -3], [18, 0, 17, 0], [-12, 0, 26, 0], [6, 0, 40, 0], [0, 19, 0, -5], [15, 0, 0, 0], [0, -27, 0, 0], [45, 0, 51, 0], [-40, 0, 19, 0], [0, 37, 0, -6], [0, -17, 0, -39], [0, 13, 0, 17], [22, 0, 31, 0], [0, -21, 0, 14], [52, 0, 46, 0], [0, -11, 0, 27], [-2, 0, -8, 0], [36, 0, 10, 0], [0, -3, 0, 15], [-16, 0, -25, 0], [0, -9, 0, 14], [-15, 0, 44, 0], [0, -16, 0, 25], [0, -19, 0, -41], [0, -4, 0, 28], [-27, 0, 1, 0], [7, 0, 36, 0], [-41, 0, -50, 0], [-26, 0, -45, 0], [0, -17, 0, 23], [0, 18, 0, 13], [-54, 0, 1, 0], [0, -4, 0, 9], [3, 0, 3, 0], [0, -9, 0, 40], [-55, 0, 7, 0], [-27, 0, -4, 0], [0, -9, 0, -15], [-46, 0, -6, 0], [0, -14, 0, -28], [0, 9, 0, 3], [-14, 0, -51, 0], [0, -19, 0, 7], [0, 2, 0, -2], [0, 5, 0, 28], [0, 11, 0, 10], [30, 0, 38, 0], [7, 0, 19, 0], [0, 22, 0, -11], [20, 0, 12, 0], [9, 0, 26, 0], [-84, 0, -3, 0], [-12, 0, -8, 0], [0, -22, 0, -38], [0, 23, 0, -10], [-4, 0, -22, 0], [20, 0, 41, 0], [0, -26, 0, 4], [-3, 0, -47, 0], [0, 13, 0, 27], [0, -8, 0, -22], [0, 2, 0, 43], [0, 39, 0, 10], [29, 0, 67, 0], [0, -10, 0, -35], [0, 15, 0, 25], [29, 0, -28, 0], [0, 1, 0, 3], [0, -37, 0, -2], [-32, 0, -49, 0], [0, -37, 0, -4], [0, -42, 0, -9], [0, 13, 0, -25], [30, 0, -15, 0], [-8, 0, 48, 0], [57, 0, 30, 0], [0, 0, 0, 17], [38, 0, 45, 0], [-62, 0, -34, 0], [0, 6, 0, -6], [0, 14, 0, -29], [-15, 0, 26, 0], [0, -3, 0, -49], [3, 0, -13, 0], [0, -20, 0, -40], [0, -26, 0, -24], [40, 0, 40, 0], [0, -12, 0, 24], [-32, 0, -6, 0], [0, 33, 0, 31], [13, 0, 5, 0], [48, 0, -15, 0], [0, 8, 0, 11], [68, 0, 20, 0], [-50, 0, -52, 0], [8, 0, -4, 0], [0, 17, 0, -9], [0, 49, 0, -1], [-33, 0, -34, 0], [-3, 0, -40, 0], [34, 0, 4, 0], [0, 22, 0, -6], [0, 16, 0, -1], [-58, 0, -51, 0], [-81, 0, 4, 0], [5, 0, 2, 0], [0, 12, 0, 32], [0, 34, 0, 9], [0, -29, 0, -13], [24, 0, 63, 0], [69, 0, 52, 0], [0, -23, 0, 6], [0, 8, 0, -28], [0, 26, 0, -15], [0, 29, 0, 18], [0, -4, 0, 49], [22, 0, 50, 0], [0, -17, 0, -1], [-16, 0, -45, 0], [0, -32, 0, 26], [0, 11, 0, -37], [0, -8, 0, 28], [-36, 0, -56, 0], [-34, 0, -42, 0], [0, -7, 0, -41], [0, 7, 0, 41], [14, 0, 38, 0], [0, 29, 0, 37], [67, 0, 33, 0], [0, 31, 0, 27], [10, 0, 5, 0], [1, 0, -24, 0], [49, 0, 12, 0], [0, 16, 0, 0], [0, -33, 0, -17], [1, 0, 3, 0], [0, -48, 0, 17], [0, -43, 0, 9], [0, 26, 0, 16], [-37, 0, -15, 0], [0, 7, 0, -37], [0, -32, 0, 4], [0, 53, 0, -4], [0, 5, 0, -39], [30, 0, 57, 0], [-14, 0, -39, 0], [21, 0, 24, 0]], 'char_orbit_index': 1, 'field_poly': [5, 0, -5, 0, 1], 'hecke_orbit_code': 166633186246271809, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [3, 0, 1, 0], [0, 3, 0, 1]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [-3, 0, 1, 0], [0, -3, 0, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '9025.2.a.bl', 'level': 9025, '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': [121, 126, 139, 129], 'ALdims_eis_new': [8, 9, 16, 18], 'ALdims_eis_old': [21, 21, 14, 12], 'ALdims_old': [95, 104, 86, 91], 'Nk2': 36100, 'analytic_conductor': 72.06498782420555, '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': [9025, 1, [5777, 3251], [1, 1]], 'conrey_index': 1, 'cusp_dim': 891, 'dim': 515, 'eis_dim': 119, 'eis_new_dim': 51, 'hecke_cutter_primes': [2, 3, 7, 11, 29], 'hecke_orbit_code': 33563457, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 8, 9, 9, 9, 9, 10, 10, 10, 10, 16, 16, 16, 20, 20, 21, 21, 21, 21, 24, 24, 40], 'label': '9025.2.a', 'level': 9025, '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': [5, 19], 'level_radical': 95, 'mf_dim': 1010, 'mf_new_dim': 566, 'num_forms': 74, 'plus_dim': 250, 'prim_orbit_index': 1, 'relative_dim': 515, 'sturm_bound': 1900, 'trace_bound': 14, 'trace_display': [-1, 2, 0, 2], 'traces': [515, -1, 2, 487, 0, 0, 2, -9, 473, 0, 2, 0, 6, 0, 0, 439, 2, -29, 0, 0, 6, -12, -16, -16, 0, -14, 8, 2, 0, 0, 16, -9, 6, 10, 0, 427, 16, 0, 52, 0, -4, 58, -6, -10, 0, -4, -10, 40, 389, 0, 2, 30, 18, 50, 0, 32, 0, 24, -2, 0, 24, 54, -12, 281, 0, 86, -20, 10, 0, 0, -18, -65, 22, 14, 0, 0, -28, 0, 24, 0, 315, 8, -20, 56, 0, -40, -66, -16, -2, 0, 24, 48, -40, -24, 0, -26, 58, 23, -30, 0, -38, 70, 10, 20, 0, -22, 6, 28, -50, 0, -32, -58, 4, 0, 0, -6, -22, 54, 16, 0, 313, 2, 62, 100, 0, 4, -22, -33, 34, 0, 36, 112, 0, 20, 0, 26, 18, -72, 14, 0, -62, -60, 24, 309, 0, -94, 64, -34, 2, 0, -30, 0, 86, -92, 0, 18, 54, 50, -94, 0, -8, -49, 28, -82, 0, 20, -26, 88, 231, 0, 0, -74, -56, -12, 0, 60, 50, -48, -54, 0, 28, 54, 14, 32, 0, -8, -74, 86, -56, 0, -108, 96, -2, -110, 0, 255, -20, -60, 34, 0, 60, -54, 34, 24, 0, 30, -28, -78, 0, 0, 10, -14, -40, -88, 0, 202, 36, -38, 62, 0, -68, 32, -18, 196, 0, -90, 44, 0, 36, 0, -14, 72, -32, -84, 0, 168, -20, -40, -32, 0, 0, 147, 46, 94, 0, 20, 0, 66, -72, 0, 86, 284, -52, -18, 0, -37, -22, 90, 114, 0, -36, -36, 36, 218, 0, 0, -40, -32, -82, 0, -158, -4, -172, -158, 0, -24, -148, 92, -96, 0, -44, -82, -112, -136, 0, -44, 94, 3, 37, 0, -166, 72, -6, -204, 0, -124, -4, -6, -48, 0, -40, -90, 32, 0, 0, -74, 4, -12, -80, 0, -84, 44, -12, 10, 0, -44, -48, -80, 6, 0, 74, 144, 0, 67, 0, -28, -54, -6, 4, 0, 52, -60, -68, 94, 0, 128, 78, 25, 56, 0, -44, 0, -68, -128, 0, -188, 40, -76, 46, 0, 74, -60, -74, -8, 0, -42, -166, -12, 134, 0, 0, 130, -48, 168, 0, 20, 90, 248, 52, 0, 12, -12, -46, 52, 0, 52, 162, 184, 30, 0, -200, 96, -48, -174, 0, 110, 78, 46, 54, 0, 92, -17, -34, -182, 0, -250, 164, -48, 0, 0, -62, -104, -158, -170, 0, -98, -30, 190, 6, 0, 150, 48, -74, 88, 0, -46, 86, 0, 78, 0, 46, 132, 226, -146, 0, -136, -246, 132, 2, 0, 88, 172, 112, -110, 0, 30, 0, -64, 30, 0, 77, 262, -64, 46, 0, 264, 50, 162, -110, 0, 186, -74, -80, 12, 0, 0, -34, 10, 136, 0, 98, 306, -28, -6, 0, 78, -40, -22, 216, 0, -36, 72, -6, -44, 0, -28, 86, 120, 36, 0, -104, 120, 96, -27, 0, 46, -74, -114, -28, 0, 54, 38, 50, 0, 0, 348, -6, 216, 56, 0, -2, 100, -18, -156, 0, -32, 2, -60, -26, 0, 70, 107, 0, 204, 0, -64, 14, -86, 20, 0, -90, -10, 10, 240, 0, -32, 172, -12, 79, 0, -130, 0, 38, 68, 0, 20, 88, 74, 254, 0, -20, -144, -40, 94, 0, 68, -16, 34, -146, 0, 0, -104, -8, 66, 0, 38, 174, 82, 216, 0, 126, -84, 66, -268, 0, 68, -96, 28, -122, 0, 44, 28, 26, 2, 0, -3, -8, -179, -34, 0, 162, -80, -40, -298, 0, 18, -66, -220, 0, 0, -168, -130, -116, 300, 0, -26, 26, 48, -28, 0, 28, 0, -88, -60, 0, -176, -4, 0, -42, 0, 20, 294, -118, 288, 0, -240, 210, -24, 120, 0, -228, 8, 92, 230, 0, 262, 0, 26, -118, 0, 98, -254, -88, -706, 0, -128, 2, -282, -62, 0, 166, 24, 36, -200, 0, 0, -48, -85, -98, 0, -274, -222, 56, -124, 0, -126, 74, 0, -126, 0, -82, -286, 154, -8, 0, 320, -40, 44, 14, 0, 254, 120, 20, -304, 0, -211, 76, -16, 100, 0, -186, -26, 88, 0, 0, 36, 42, -260, -142, 0, 26, 26, 126, 8, 0, -240, -34, -54, 22, 0, -122, 96, 0, -40, 0, -266, 138, 42, -242, 0, 248, -58, 0, -694, 0, 204, 34, -80, -56, 0, -90, 0, -148, -194, 0, -306, -80, 346, -103, 0, -418, 120, -170, 368, 0, -236, -112, -428, 88, 0, 0, -316, -96, -180, 0, -82, -410, 106, -102, 0, 4, 76, -122, -108, 0, -72, 22, -194, -52, 0, 90, 128, -136, -856, 0, -222, 20, -60, -152, 0, -706, 70, 12, -4, 0, 64, -100, -150, 0, 0, 58, 72, -110, -335, 0, -502, -104, -498, 34, 0, -2, -104, 20, -70, 0, 4, -46, 0, -6, 0, 82, 92, -350, 148, 0, 444, -78, -138, 20, 0, 40, 20, 156, -316, 0, 184, 0, -122, -16, 0, -110, -226, -250, -80, 0, -16, -120, 252, -54, 0, -258, -22, 102, 178, 0, 0, -126, 68, -26, 0, -199, -408, -542, 84, 0, 28, 48, 134, 226, 0, -52, -72, -98, -48, 0, -90, 52, 56, -72, 0, -48, 4, 162, 546, 0, -122, -84, 56, -68, 0, -200, -396, 174, 0, 0, -312, -136, -40, -36, 0, -36, 75, -24, 188, 0, 300, 150, 180, 62, 0, -468, 60, 0, -46, 0, 456, -12, -66, -96, 0, -328, 516, -130, -558, 0, 368, -48, -80, -342, 0, -290, 0, 138, 346, 0, 98, 86, -172, 30, 0, 196, 66, -84, 56, 0, 60, 70, 74, -110, 0, 0, 128, 82, 100, 0, -176, 194, -120, -248, 0, -124, 64, -40, 300, 0, 180, -360, 156, -12, 0, -182, -56, -78, -40, 0, -258, 236, -56, 52, 0, -283, -44, 202, 134, 0, 764, 68, 67, 0, 0, 336, 56, -142, -68, 0, 446, -58, -398, -176, 0, 142, -92, -24, -172, 0, 348, -54, 0, 244, 0, -86, 172, 326, 24, 0, -140, 54, 228, 654, 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: 1414996
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 38, 'source_is_minimal': False, 'source_label': '9025.2.a.bl', 'source_level': 9025, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 12, 'target_is_minimal': True, 'target_label': '1805.2.a.l', 'target_level': 1805, 'twist_class_label': '1805.2.a.l', 'twist_class_level': 1805, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1414997
    {'conductor': 95, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 38, 'source_is_minimal': False, 'source_label': '9025.2.a.bl', 'source_level': 9025, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 12, 'target_is_minimal': True, 'target_label': '1805.2.a.l', 'target_level': 1805, 'twist_class_label': '1805.2.a.l', 'twist_class_level': 1805, 'twisting_char_label': '95.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1414998
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 38, 'source_is_minimal': False, 'source_label': '9025.2.a.bl', 'source_level': 9025, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 38, 'target_is_minimal': False, 'target_label': '9025.2.a.bl', 'target_level': 9025, 'twist_class_label': '1805.2.a.l', 'twist_class_level': 1805, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1414999
    {'conductor': 19, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 38, 'source_is_minimal': False, 'source_label': '9025.2.a.bl', 'source_level': 9025, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 38, 'target_is_minimal': False, 'target_label': '9025.2.a.bl', 'target_level': 9025, 'twist_class_label': '1805.2.a.l', 'twist_class_level': 1805, 'twisting_char_label': '19.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4914300
    {'charpoly_factorization': [[[5, 0, -5, 0, 1], 1]], 'hecke_orbit_code': 166633186246271809, 'p': 2}
  • id: 4914301
    {'charpoly_factorization': [[[5, 0, -5, 0, 1], 1]], 'hecke_orbit_code': 166633186246271809, 'p': 3}
  • id: 4914302
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 166633186246271809, 'p': 5}
  • id: 4914303
    {'charpoly_factorization': [[[-1, -4, 1], 2]], 'hecke_orbit_code': 166633186246271809, 'p': 7}
  • id: 4914304
    {'charpoly_factorization': [[[-5, 5, 1], 2]], 'hecke_orbit_code': 166633186246271809, 'p': 11}
  • id: 4914305
    {'charpoly_factorization': [[[5, 0, -10, 0, 1], 1]], 'hecke_orbit_code': 166633186246271809, 'p': 13}
  • id: 4914306
    {'charpoly_factorization': [[[4, 6, 1], 2]], 'hecke_orbit_code': 166633186246271809, 'p': 17}
  • id: 4914307
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 166633186246271809, 'p': 19}
  • id: 4914308
    {'charpoly_factorization': [[[-29, -3, 1], 2]], 'hecke_orbit_code': 166633186246271809, 'p': 23}
  • id: 4914309
    {'charpoly_factorization': [[[605, 0, -85, 0, 1], 1]], 'hecke_orbit_code': 166633186246271809, 'p': 29}
  • id: 4914310
    {'charpoly_factorization': [[[5, 0, -5, 0, 1], 1]], 'hecke_orbit_code': 166633186246271809, 'p': 31}
  • id: 4914311
    {'charpoly_factorization': [[[605, 0, -85, 0, 1], 1]], 'hecke_orbit_code': 166633186246271809, 'p': 37}
  • id: 4914312
    {'charpoly_factorization': [[[125, 0, -50, 0, 1], 1]], 'hecke_orbit_code': 166633186246271809, 'p': 41}
  • id: 4914313
    {'charpoly_factorization': [[[1, 3, 1], 2]], 'hecke_orbit_code': 166633186246271809, 'p': 43}
  • id: 4914314
    {'charpoly_factorization': [[[-11, 6, 1], 2]], 'hecke_orbit_code': 166633186246271809, 'p': 47}
  • id: 4914315
    {'charpoly_factorization': [[[125, 0, -125, 0, 1], 1]], 'hecke_orbit_code': 166633186246271809, 'p': 53}
  • id: 4914316
    {'charpoly_factorization': [[[25205, 0, -325, 0, 1], 1]], 'hecke_orbit_code': 166633186246271809, 'p': 59}
  • id: 4914317
    {'charpoly_factorization': [[[-55, 10, 1], 2]], 'hecke_orbit_code': 166633186246271809, 'p': 61}
  • id: 4914318
    {'charpoly_factorization': [[[4805, 0, -170, 0, 1], 1]], 'hecke_orbit_code': 166633186246271809, 'p': 67}
  • id: 4914319
    {'charpoly_factorization': [[[5, 0, -170, 0, 1], 1]], 'hecke_orbit_code': 166633186246271809, 'p': 71}
  • id: 4914320
    {'charpoly_factorization': [[[-1, 1], 4]], 'hecke_orbit_code': 166633186246271809, 'p': 73}
  • id: 4914321
    {'charpoly_factorization': [[[2000, 0, -100, 0, 1], 1]], 'hecke_orbit_code': 166633186246271809, 'p': 79}
  • id: 4914322
    {'charpoly_factorization': [[[116, -22, 1], 2]], 'hecke_orbit_code': 166633186246271809, 'p': 83}
  • id: 4914323
    {'charpoly_factorization': [[[4205, 0, -130, 0, 1], 1]], 'hecke_orbit_code': 166633186246271809, 'p': 89}
  • id: 4914324
    {'charpoly_factorization': [[[125, 0, -25, 0, 1], 1]], 'hecke_orbit_code': 166633186246271809, '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': 38, 'label': '9025.2.a.bl', 'level': 9025, '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

  
  Showing the first 100 of 258 matching records in this table.
  • id: 70196359
    {'hecke_orbit_code': 166633186246271809, 'n': 1, 'trace_an': 4}
  • id: 70196360
    {'hecke_orbit_code': 166633186246271809, 'n': 2, 'trace_an': 0}
  • id: 70196361
    {'hecke_orbit_code': 166633186246271809, 'n': 3, 'trace_an': 0}
  • id: 70196362
    {'hecke_orbit_code': 166633186246271809, 'n': 4, 'trace_an': 2}
  • id: 70196363
    {'hecke_orbit_code': 166633186246271809, 'n': 5, 'trace_an': 0}
  • id: 70196364
    {'hecke_orbit_code': 166633186246271809, 'n': 6, 'trace_an': 10}
  • id: 70196365
    {'hecke_orbit_code': 166633186246271809, 'n': 7, 'trace_an': 8}
  • id: 70196366
    {'hecke_orbit_code': 166633186246271809, 'n': 8, 'trace_an': 0}
  • id: 70196367
    {'hecke_orbit_code': 166633186246271809, 'n': 9, 'trace_an': -2}
  • id: 70196368
    {'hecke_orbit_code': 166633186246271809, 'n': 10, 'trace_an': 0}
  • id: 70196369
    {'hecke_orbit_code': 166633186246271809, 'n': 11, 'trace_an': -10}
  • id: 70196370
    {'hecke_orbit_code': 166633186246271809, 'n': 12, 'trace_an': 0}
  • id: 70196371
    {'hecke_orbit_code': 166633186246271809, 'n': 13, 'trace_an': 0}
  • id: 70196372
    {'hecke_orbit_code': 166633186246271809, 'n': 14, 'trace_an': 0}
  • id: 70196373
    {'hecke_orbit_code': 166633186246271809, 'n': 15, 'trace_an': 0}
  • id: 70196374
    {'hecke_orbit_code': 166633186246271809, 'n': 16, 'trace_an': -14}
  • id: 70196375
    {'hecke_orbit_code': 166633186246271809, 'n': 17, 'trace_an': -12}
  • id: 70196376
    {'hecke_orbit_code': 166633186246271809, 'n': 18, 'trace_an': 0}
  • id: 70196377
    {'hecke_orbit_code': 166633186246271809, 'n': 19, 'trace_an': 0}
  • id: 70196378
    {'hecke_orbit_code': 166633186246271809, 'n': 20, 'trace_an': 0}
  • id: 70196379
    {'hecke_orbit_code': 166633186246271809, 'n': 21, 'trace_an': 0}
  • id: 70196380
    {'hecke_orbit_code': 166633186246271809, 'n': 22, 'trace_an': 0}
  • id: 70196381
    {'hecke_orbit_code': 166633186246271809, 'n': 23, 'trace_an': 6}
  • id: 70196382
    {'hecke_orbit_code': 166633186246271809, 'n': 24, 'trace_an': -10}
  • id: 70196383
    {'hecke_orbit_code': 166633186246271809, 'n': 25, 'trace_an': 0}
  • id: 70196384
    {'hecke_orbit_code': 166633186246271809, 'n': 26, 'trace_an': -10}
  • id: 70196385
    {'hecke_orbit_code': 166633186246271809, 'n': 27, 'trace_an': 0}
  • id: 70196386
    {'hecke_orbit_code': 166633186246271809, 'n': 28, 'trace_an': 14}
  • id: 70196387
    {'hecke_orbit_code': 166633186246271809, 'n': 29, 'trace_an': 0}
  • id: 70196388
    {'hecke_orbit_code': 166633186246271809, 'n': 30, 'trace_an': 0}
  • id: 70196389
    {'hecke_orbit_code': 166633186246271809, 'n': 31, 'trace_an': 0}
  • id: 70196390
    {'hecke_orbit_code': 166633186246271809, 'n': 32, 'trace_an': 0}
  • id: 70196391
    {'hecke_orbit_code': 166633186246271809, 'n': 33, 'trace_an': 0}
  • id: 70196392
    {'hecke_orbit_code': 166633186246271809, 'n': 34, 'trace_an': 0}
  • id: 70196393
    {'hecke_orbit_code': 166633186246271809, 'n': 35, 'trace_an': 0}
  • id: 70196394
    {'hecke_orbit_code': 166633186246271809, 'n': 36, 'trace_an': 4}
  • id: 70196395
    {'hecke_orbit_code': 166633186246271809, 'n': 37, 'trace_an': 0}
  • id: 70196396
    {'hecke_orbit_code': 166633186246271809, 'n': 38, 'trace_an': 0}
  • id: 70196397
    {'hecke_orbit_code': 166633186246271809, 'n': 39, 'trace_an': -10}
  • id: 70196398
    {'hecke_orbit_code': 166633186246271809, 'n': 40, 'trace_an': 0}
  • id: 70196399
    {'hecke_orbit_code': 166633186246271809, 'n': 41, 'trace_an': 0}
  • id: 70196400
    {'hecke_orbit_code': 166633186246271809, 'n': 42, 'trace_an': 30}
  • id: 70196401
    {'hecke_orbit_code': 166633186246271809, 'n': 43, 'trace_an': -6}
  • id: 70196402
    {'hecke_orbit_code': 166633186246271809, 'n': 44, 'trace_an': -20}
  • id: 70196403
    {'hecke_orbit_code': 166633186246271809, 'n': 45, 'trace_an': 0}
  • id: 70196404
    {'hecke_orbit_code': 166633186246271809, 'n': 46, 'trace_an': 0}
  • id: 70196405
    {'hecke_orbit_code': 166633186246271809, 'n': 47, 'trace_an': -12}
  • id: 70196406
    {'hecke_orbit_code': 166633186246271809, 'n': 48, 'trace_an': 0}
  • id: 70196407
    {'hecke_orbit_code': 166633186246271809, 'n': 49, 'trace_an': 8}
  • id: 70196408
    {'hecke_orbit_code': 166633186246271809, 'n': 50, 'trace_an': 0}
  • id: 70196409
    {'hecke_orbit_code': 166633186246271809, 'n': 51, 'trace_an': 0}
  • id: 70196410
    {'hecke_orbit_code': 166633186246271809, 'n': 52, 'trace_an': 0}
  • id: 70196411
    {'hecke_orbit_code': 166633186246271809, 'n': 53, 'trace_an': 0}
  • id: 70196412
    {'hecke_orbit_code': 166633186246271809, 'n': 54, 'trace_an': -30}
  • id: 70196413
    {'hecke_orbit_code': 166633186246271809, 'n': 55, 'trace_an': 0}
  • id: 70196414
    {'hecke_orbit_code': 166633186246271809, 'n': 56, 'trace_an': 0}
  • id: 70196415
    {'hecke_orbit_code': 166633186246271809, 'n': 57, 'trace_an': 0}
  • id: 70196416
    {'hecke_orbit_code': 166633186246271809, 'n': 58, 'trace_an': 10}
  • id: 70196417
    {'hecke_orbit_code': 166633186246271809, 'n': 59, 'trace_an': 0}
  • id: 70196418
    {'hecke_orbit_code': 166633186246271809, 'n': 60, 'trace_an': 0}
  • id: 70196419
    {'hecke_orbit_code': 166633186246271809, 'n': 61, 'trace_an': -20}
  • id: 70196420
    {'hecke_orbit_code': 166633186246271809, 'n': 62, 'trace_an': 10}
  • id: 70196421
    {'hecke_orbit_code': 166633186246271809, 'n': 63, 'trace_an': 6}
  • id: 70196422
    {'hecke_orbit_code': 166633186246271809, 'n': 64, 'trace_an': 8}
  • id: 70196423
    {'hecke_orbit_code': 166633186246271809, 'n': 65, 'trace_an': 0}
  • id: 70196424
    {'hecke_orbit_code': 166633186246271809, 'n': 66, 'trace_an': -40}
  • id: 70196425
    {'hecke_orbit_code': 166633186246271809, 'n': 67, 'trace_an': 0}
  • id: 70196426
    {'hecke_orbit_code': 166633186246271809, 'n': 68, 'trace_an': -16}
  • id: 70196427
    {'hecke_orbit_code': 166633186246271809, 'n': 69, 'trace_an': 0}
  • id: 70196428
    {'hecke_orbit_code': 166633186246271809, 'n': 70, 'trace_an': 0}
  • id: 70196429
    {'hecke_orbit_code': 166633186246271809, 'n': 71, 'trace_an': 0}
  • id: 70196430
    {'hecke_orbit_code': 166633186246271809, 'n': 72, 'trace_an': 0}
  • id: 70196431
    {'hecke_orbit_code': 166633186246271809, 'n': 73, 'trace_an': 4}
  • id: 70196432
    {'hecke_orbit_code': 166633186246271809, 'n': 74, 'trace_an': -10}
  • id: 70196433
    {'hecke_orbit_code': 166633186246271809, 'n': 75, 'trace_an': 0}
  • id: 70196434
    {'hecke_orbit_code': 166633186246271809, 'n': 76, 'trace_an': 0}
  • id: 70196435
    {'hecke_orbit_code': 166633186246271809, 'n': 77, 'trace_an': -50}
  • id: 70196436
    {'hecke_orbit_code': 166633186246271809, 'n': 78, 'trace_an': 0}
  • id: 70196437
    {'hecke_orbit_code': 166633186246271809, 'n': 79, 'trace_an': 0}
  • id: 70196438
    {'hecke_orbit_code': 166633186246271809, 'n': 80, 'trace_an': 0}
  • id: 70196439
    {'hecke_orbit_code': 166633186246271809, 'n': 81, 'trace_an': -24}
  • id: 70196440
    {'hecke_orbit_code': 166633186246271809, 'n': 82, 'trace_an': -30}
  • id: 70196441
    {'hecke_orbit_code': 166633186246271809, 'n': 83, 'trace_an': 44}
  • id: 70196442
    {'hecke_orbit_code': 166633186246271809, 'n': 84, 'trace_an': 0}
  • id: 70196443
    {'hecke_orbit_code': 166633186246271809, 'n': 85, 'trace_an': 0}
  • id: 70196444
    {'hecke_orbit_code': 166633186246271809, 'n': 86, 'trace_an': 0}
  • id: 70196445
    {'hecke_orbit_code': 166633186246271809, 'n': 87, 'trace_an': 10}
  • id: 70196446
    {'hecke_orbit_code': 166633186246271809, 'n': 88, 'trace_an': 0}
  • id: 70196447
    {'hecke_orbit_code': 166633186246271809, 'n': 89, 'trace_an': 0}
  • id: 70196448
    {'hecke_orbit_code': 166633186246271809, 'n': 90, 'trace_an': 0}
  • id: 70196449
    {'hecke_orbit_code': 166633186246271809, 'n': 91, 'trace_an': 0}
  • id: 70196450
    {'hecke_orbit_code': 166633186246271809, 'n': 92, 'trace_an': -22}
  • id: 70196451
    {'hecke_orbit_code': 166633186246271809, 'n': 93, 'trace_an': 10}
  • id: 70196452
    {'hecke_orbit_code': 166633186246271809, 'n': 94, 'trace_an': 0}
  • id: 70196453
    {'hecke_orbit_code': 166633186246271809, 'n': 95, 'trace_an': 0}
  • id: 70196454
    {'hecke_orbit_code': 166633186246271809, 'n': 96, 'trace_an': -20}
  • id: 70196455
    {'hecke_orbit_code': 166633186246271809, 'n': 97, 'trace_an': 0}
  • id: 70196456
    {'hecke_orbit_code': 166633186246271809, 'n': 98, 'trace_an': 0}
  • id: 70196457
    {'hecke_orbit_code': 166633186246271809, 'n': 99, 'trace_an': -10}
  • id: 70196458
    {'hecke_orbit_code': 166633186246271809, 'n': 100, 'trace_an': 0}