Newform data - 567.2.i.e

Formats: - HTML - YAML - JSON - 2026-09-23T07:35:36.533087

• 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': 2268, 'analytic_conductor': 4.527517794606598, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 63, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 6, 'char_parity': 1, 'char_values': [567, 6, [407, 325], [5, 5]], 'cm_discs': [], 'conrey_index': 215, 'dim': 4, 'field_disc': 576, 'field_disc_factorization': [[2, 6], [3, 2]], 'field_poly': [4, 0, -2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [2, 0, 1]], [11, [1024, 0, -32, 0, 1]], [13, [12, 6, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18014948298850871, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 63, 9, 1, 6, 0], [1, 1, 63, 20, -1, 6, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '567.2.i.e', 'level': 567, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'minimal_twist': '189.2.p.b', 'nf_label': '4.0.576.1', 'prim_orbit_index': 9, 'qexp_display': 'q+\\beta _{3}q^{2}+(-\\beta _{1}-\\beta _{3})q^{5}+(1-3\\beta _{2}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '567.2.i', 'trace_display': [0, 0, 0, -2], 'trace_hash': 133526204907744370, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.044', 'prec': 7}, {'__RealLiteral__': 0, 'data': '3.676', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.304', 'prec': 10}, {'__RealLiteral__': 0, 'data': '84.291', 'prec': 17}, 0, {'__RealLiteral__': 0, 'data': '2669.589', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.593', 'prec': 10}, 'traces': [4, 0, 0, 0, 0, 0, -2, 0, 0, 12, 0, 0, -12, 0, 0, -16, 0, 0, 6, 0, 0, 16, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 8, 0, 0, 24, 0, 0, 14, 0, 0, -20, 0, 0, -26, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -32, 0, 0, 8, 0, 0, -24, 0, 0, 42, 0, 0, 0, 0, 0, -16, 0, 0, 12, 0, 0, -12, 0, 0, 32, 0, 0, -12, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, -48, 0, 0, 4, 0, 0, -34, 0, 0, 8, 0, 0, 60, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, -4, 0, 0, -48, 0, 0, 6, 0, 0, 24, 0, 0, 24, 0, 0, 16, 0, 0, -12, 0, 0, 0, 0, 0, -22, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, -46, 0, 0, 48, 0, 0, -2, 0, 0, 0, 0, 0, 10, 0, 0, 12, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 24, 0, 0, -16, 0, 0, 0, 0, 0, 6, 0, 0, 48, 0, 0, -24, 0, 0, 48, 0, 0, 2, 0, 0, 40, 0, 0, -54, 0, 0, 0, 0, 0, -48, 0, 0, -8, 0, 0, 6, 0, 0, 8, 0, 0, -36, 0, 0, -24, 0, 0, 42, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, -40, 0, 0, 84, 0, 0, -12, 0, 0, 0, 0, 0, 78, 0, 0, -20, 0, 0, 50, 0, 0, -48, 0, 0, 0, 0, 0, -96, 0, 0, 22, 0, 0, 0, 0, 0, -72, 0, 0, 28, 0, 0, 56, 0, 0, -24, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, -80, 0, 0, 12, 0, 0, 24, 0, 0, 68, 0, 0, -24, 0, 0, 2, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, -24, 0, 0, 28, 0, 0, -32, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -40, 0, 0, -8, 0, 0, 144, 0, 0, 0, 0, 0, 60, 0, 0, 16, 0, 0, -66, 0, 0, 8, 0, 0, -36, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 48, 0, 0, -22, 0, 0, 8, 0, 0, 54, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, -24, 0, 0, 16, 0, 0, -48, 0, 0, 12, 0, 0, 20, 0, 0, 0, 0, 0, 2, 0, 0, -44, 0, 0, -4, 0, 0, 0, 0, 0, -6, 0, 0, 28, 0, 0, -48, 0, 0, 0, 0, 0, 26, 0, 0, -60, 0, 0, -12, 0, 0, 0, 0, 0, 50, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -84, 0, 0, -96, 0, 0, -144, 0, 0, -96, 0, 0, -12, 0, 0, -56, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 26, 0, 0, 0, 0, 0, 50, 0, 0, 16, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 32, 0, 0, 164, 0, 0, 12, 0, 0, -12, 0, 0, 0, 0, 0, -32, 0, 0, 120, 0, 0, 18, 0, 0, -32, 0, 0, 60, 0, 0, 0, 0, 0, 78, 0, 0, 0, 0, 0, -102, 0, 0, 36, 0, 0, 62, 0, 0, -160, 0, 0, -120, 0, 0, 0, 0, 0, 58, 0, 0, 0, 0, 0, 44, 0, 0, 16, 0, 0, 96, 0, 0, -96, 0, 0, 78, 0, 0, 24, 0, 0, -288, 0, 0, 0, 0, 0, -84, 0, 0, 108, 0, 0, 0, 0, 0, 96, 0, 0, -20, 0, 0, 24, 0, 0, 50, 0, 0, 0, 0, 0, 60, 0, 0, -144, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, -176, 0, 0, -24, 0, 0, 0, 0, 0, 24, 0, 0, -168, 0, 0, 20, 0, 0, 24, 0, 0, 96, 0, 0, -32, 0, 0, 96, 0, 0, 0, 0, 0, 114, 0, 0, 84, 0, 0, 150, 0, 0, 0, 0, 0, -10, 0, 0, 16, 0, 0, -84, 0, 0, 0, 0, 0, 74, 0, 0, 0, 0, 0, -28, 0, 0, 48, 0, 0, -136, 0, 0, -168, 0, 0, -174, 0, 0, 0, 0, 0, 18, 0, 0, 76, 0, 0, -32, 0, 0, 104, 0, 0, 0, 0, 0, -48, 0, 0, 36, 0, 0, 0, 0, 0, -36, 0, 0, 64, 0, 0, 60, 0, 0, 96, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 92, 0, 0, 216, 0, 0, 114, 0, 0, 96, 0, 0, 48, 0, 0, 12, 0, 0, -54, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, -30, 0, 0, 80, 0, 0, -174, 0, 0, -80, 0, 0, 36, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -70, 0, 0, 0, 0, 0, -148, 0, 0, 88, 0, 0, 2, 0, 0, 0, 0, 0, -84, 0, 0, -200, 0, 0, -12, 0, 0, -16, 0, 0, 32, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, -10, 0, 0, 120, 0, 0, 8, 0, 0, 0, 0, 0, -48, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, -168, 0, 0, -48, 0, 0, 12, 0, 0, 12, 0, 0, 16, 0, 0, 0, 0, 0, 68, 0, 0, -60, 0, 0, 24, 0, 0, 0, 0, 0, -48, 0, 0, 16, 0, 0, -24, 0, 0, 0, 0, 0, 116, 0, 0, -8, 0, 0, -138, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 0], [0, 0, 0, 0], [0, -1, 0, -1], [0, 0, 0, 0], [1, 0, -3, 0], [0, 0, 0, 2], [0, 0, 0, 0], [4, 0, -2, 0], [0, -4, 0, 0], [0, 0, 0, 0], [-2, 0, -2, 0], [0, 3, 0, -2], [0, 0, 0, 0], [-4, 0, 0, 0], [0, -1, 0, -1], [0, 0, 0, 0], [1, 0, 1, 0], [0, 0, 0, 0], [0, 0, 0, 0], [8, 0, -8, 0], [0, -5, 0, 5], [0, 0, 0, 0], [-1, 0, 1, 0], [0, 2, 0, -4], [0, 0, 0, 0], [0, 0, 0, 0], [0, 1, 0, -1], [0, 0, 0, 0], [3, 0, -6, 0], [0, 0, 0, 0], [0, 0, 0, 0], [4, 0, -2, 0], [0, -4, 0, 5], [0, 0, 0, 0], [4, 0, -4, 0], [0, -1, 0, 2], [0, 0, 0, 0], [8, 0, -4, 0], [0, 1, 0, -2], [0, 0, 0, 0], [0, 0, 7, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, -10, 0], [0, 6, 0, -3], [0, 0, 0, 0], [-8, 0, 3, 0], [0, -1, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 1, 0, -1], [0, 0, 0, 0], [-8, 0, 16, 0], [0, 6, 0, -4], [0, 0, 0, 0], [0, 0, 2, 0], [0, 12, 0, -6], [0, 0, 0, 0], [-3, 0, 6, 0], [0, 6, 0, -3], [0, 0, 0, 0], [-8, 0, 0, 0], [0, 0, 0, 6], [0, 0, 0, 0], [2, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-2, 0, -8, 0], [0, 0, 0, -2], [0, 0, 0, 0], [14, 0, -7, 0], [0, 4, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -4, 0, 12], [0, 0, 0, 0], [-4, 0, 0, 0], [0, 4, 0, 4], [0, 0, 0, 0], [2, 0, 2, 0], [0, -4, 0, -4], [0, 0, 0, 0], [-6, 0, 6, 0], [0, -7, 0, 7], [0, 0, 0, 0], [16, 0, -16, 0], [0, 1, 0, -2], [0, 0, 0, 0], [-8, 0, 10, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-6, 0, 12, 0], [0, 0, 0, -3], [0, 0, 0, 0], [-10, 0, 5, 0], [0, -3, 0, -5], [0, 0, 0, 0], [0, 0, 0, 0]], 'ap': [[0, 0, 0, 1], [0, 0, 0, 0], [0, -1, 0, -1], [1, 0, -3, 0], [0, -4, 0, 0], [-2, 0, -2, 0], [0, -1, 0, -1], [1, 0, 1, 0], [0, -5, 0, 5], [0, 1, 0, -1], [3, 0, -6, 0], [4, 0, -4, 0], [0, 1, 0, -2], [0, 0, 7, 0], [0, 6, 0, -3], [0, 1, 0, -1], [0, 12, 0, -6], [-3, 0, 6, 0], [2, 0, 0, 0], [0, 0, 0, -2], [14, 0, -7, 0], [-4, 0, 0, 0], [0, -4, 0, -4], [0, 1, 0, -2], [-10, 0, 5, 0], [0, 4, 0, -8], [-16, 0, 8, 0], [0, -10, 0, 0], [0, 0, -17, 0], [0, 2, 0, 0], [-1, 0, 0, 0], [0, -7, 0, -7], [0, 5, 0, 0], [4, 0, 4, 0], [0, 7, 0, -7], [-11, 0, 11, 0], [6, 0, -12, 0], [-23, 0, 23, 0], [0, -2, 0, 4], [0, -6, 0, 3], [0, 7, 0, -7], [9, 0, -18, 0], [0, 0, 0, 1], [-4, 0, 0, 0], [0, 0, 0, -2], [2, 0, -1, 0], [1, 0, -1, 0], [-16, 0, 8, 0], [0, 1, 0, -2], [2, 0, -1, 0], [0, 11, 0, 0], [0, -7, 0, 0], [7, 0, 7, 0], [0, 6, 0, -3], [0, 8, 0, 8], [0, 14, 0, 0], [0, -10, 0, -10], [13, 0, 13, 0], [25, 0, -25, 0], [0, 4, 0, -4], [15, 0, -30, 0], [0, 10, 0, -20], [-3, 0, 6, 0], [0, 0, 0, 0], [3, 0, -6, 0], [0, 0, 0, -2], [17, 0, 0, 0], [1, 0, -1, 0], [0, 0, 0, 22], [2, 0, -1, 0], [0, -14, 0, 28], [0, 8, 0, 0], [-5, 0, -5, 0], [0, 0, 1, 0], [-10, 0, 0, 0], [0, 14, 0, 14], [0, -19, 0, 0], [-11, 0, -11, 0], [0, 16, 0, -16], [6, 0, -12, 0], [0, 1, 0, -2], [0, 0, -11, 0], [0, -20, 0, 20], [-3, 0, 6, 0], [12, 0, -24, 0], [0, 0, 0, -11], [0, 0, 0, 25], [5, 0, 0, 0], [0, -10, 0, -10], [1, 0, -1, 0], [0, -2, 0, 4], [0, 1, 0, -2], [0, 0, 13, 0], [0, -4, 0, 0], [0, 0, 25, 0], [0, -18, 0, 9], [0, 8, 0, 8], [0, -10, 0, -10], [-2, 0, -2, 0], [13, 0, -13, 0], [0, 0, 25, 0], [0, 1, 0, -1], [0, -18, 0, 9], [0, 0, 0, -26], [41, 0, 0, 0], [-4, 0, 2, 0], [0, 11, 0, 11], [0, 4, 0, -8], [0, 0, 0, -5], [26, 0, -13, 0], [-34, 0, 17, 0], [0, 0, 31, 0], [0, 32, 0, 0], [-20, 0, -20, 0], [11, 0, 0, 0], [0, 5, 0, 0], [13, 0, 13, 0], [0, -10, 0, -10], [0, -11, 0, 11], [0, -5, 0, 5], [27, 0, -54, 0], [0, 0, 25, 0], [0, 12, 0, -6], [0, -26, 0, 26], [-3, 0, 6, 0], [0, 0, 0, -11], [5, 0, 0, 0], [0, 10, 0, -20], [38, 0, -19, 0], [50, 0, -25, 0], [0, 0, -5, 0], [0, -25, 0, 0], [0, 0, 37, 0], [-7, 0, 0, 0], [0, -4, 0, -4], [-29, 0, -29, 0], [0, 17, 0, 17], [15, 0, -30, 0], [0, 16, 0, -32], [0, -8, 0, 8], [0, 0, 0, 0], [0, 0, 0, 28], [23, 0, 0, 0], [0, 0, 0, 16], [38, 0, -19, 0], [0, -10, 0, -10], [-10, 0, 5, 0], [0, -2, 0, 4], [-58, 0, 29, 0], [0, -1, 0, 0], [0, 0, -35, 0], [0, 30, 0, -15], [-37, 0, 0, 0], [0, -22, 0, -22], [16, 0, -16, 0], [0, 37, 0, -37], [-5, 0, 5, 0], [0, 18, 0, -9], [-6, 0, 12, 0], [0, 12, 0, -6], [0, 0, 0, 7], [0, 0, 0, 13], [34, 0, -34, 0], [0, -5, 0, 10], [0, 0, 0, -26], [0, -2, 0, 4], [0, 0, 58, 0], [-23, 0, -23, 0]], 'char_orbit_index': 9, 'field_poly': [4, 0, -2, 0, 1], 'hecke_orbit_code': 18014948298850871, 'hecke_ring_character_values': [[407, [1, 0, -1, 0]], [325, [1, 0, -1, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 2, 2], 'hecke_ring_inverse_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 2, 0], [0, 0, 0, 2]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '567.2.i.e', 'level': 567, 'maxp': 997, '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

  
  {'Nk2': 2268, 'analytic_conductor': 4.527517794606598, 'char_conductor': 63, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 6, 'char_parity': 1, 'char_values': [567, 6, [407, 325], [5, 5]], 'conrey_index': 215, 'cusp_dim': 120, 'dim': 60, 'eis_dim': 48, 'eis_new_dim': 8, 'hecke_cutter_primes': [2, 11, 13], 'hecke_orbit_code': 549789368887, 'hecke_orbit_dims': [2, 2, 4, 4, 4, 12, 32], 'label': '567.2.i', 'level': 567, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'mf_dim': 168, 'mf_new_dim': 68, 'num_forms': 7, 'prim_orbit_index': 9, 'relative_dim': 30, 'sturm_bound': 144, 'trace_bound': 7, 'trace_display': [0, 0, 0, 7], 'traces': [60, 0, 0, -52, 0, 0, 7, 0, 0, -6, 0, 0, 15, 0, 0, 44, 0, 0, -6, 0, 0, 8, 0, 0, -24, 0, 0, -20, 0, 0, 0, 0, 0, -12, 0, 0, -7, 0, 0, -12, 0, 0, -16, 0, 0, 2, 0, 0, -15, 0, 0, -78, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -32, 0, 0, 6, 0, 0, -18, 0, 0, -6, 0, 0, 36, 0, 0, 78, 0, 0, -18, 0, 0, -18, 0, 0, -2, 0, 0, 45, 0, 0, 0, 0, 0, 15, 0, 0, 20, 0, 0, 3, 0, 0, -22, 0, 0, -52, 0, 0, 84, 0, 0, 6, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, -96, 0, 0, -12, 0, 0, 72, 0, 0, -24, 0, 0, -69, 0, 0, -76, 0, 0, -12, 0, 0, 62, 0, 0, 11, 0, 0, -94, 0, 0, 0, 0, 0, 54, 0, 0, 21, 0, 0, 54, 0, 0, 81, 0, 0, 20, 0, 0, -26, 0, 0, -12, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 132, 0, 0, -82, 0, 0, 158, 0, 0, 99, 0, 0, 282, 0, 0, 108, 0, 0, 258, 0, 0, -19, 0, 0, -70, 0, 0, -105, 0, 0, 0, 0, 0, -144, 0, 0, -112, 0, 0, -198, 0, 0, -134, 0, 0, 42, 0, 0, -162, 0, 0, -159, 0, 0, 0, 0, 0, -9, 0, 0, 0, 0, 0, -124, 0, 0, -236, 0, 0, -51, 0, 0, 84, 0, 0, 24, 0, 0, -104, 0, 0, -3, 0, 0, -88, 0, 0, 66, 0, 0, -6, 0, 0, 0, 0, 0, 324, 0, 0, 54, 0, 0, 378, 0, 0, -60, 0, 0, -34, 0, 0, 183, 0, 0, -66, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, -296, 0, 0, -4, 0, 0, -262, 0, 0, -123, 0, 0, -414, 0, 0, -232, 0, 0, -90, 0, 0, 194, 0, 0, -144, 0, 0, 46, 0, 0, 0, 0, 0, 93, 0, 0, 96, 0, 0, 84, 0, 0, 314, 0, 0, -18, 0, 0, -372, 0, 0, 24, 0, 0, 0, 0, 0, -102, 0, 0, 0, 0, 0, 278, 0, 0, 248, 0, 0, 222, 0, 0, 408, 0, 0, 138, 0, 0, 140, 0, 0, 78, 0, 0, -136, 0, 0, -3, 0, 0, 416, 0, 0, 0, 0, 0, -204, 0, 0, -18, 0, 0, -246, 0, 0, -42, 0, 0, -2, 0, 0, -39, 0, 0, 624, 0, 0, 0, 0, 0, 26, 0, 0, 0, 0, 0, 60, 0, 0, -60, 0, 0, -210, 0, 0, 18, 0, 0, 102, 0, 0, 248, 0, 0, -468, 0, 0, -126, 0, 0, 116, 0, 0, -22, 0, 0, 0, 0, 0, 6, 0, 0, 2, 0, 0, 111, 0, 0, -86, 0, 0, 14, 0, 0, 300, 0, 0, -96, 0, 0, 0, 0, 0, 74, 0, 0, 0, 0, 0, 60, 0, 0, 28, 0, 0, -153, 0, 0, -636, 0, 0, -192, 0, 0, -444, 0, 0, -81, 0, 0, 230, 0, 0, -34, 0, 0, -324, 0, 0, 0, 0, 0, -48, 0, 0, -78, 0, 0, 54, 0, 0, 141, 0, 0, -118, 0, 0, 26, 0, 0, 6, 0, 0, 0, 0, 0, -154, 0, 0, 0, 0, 0, 616, 0, 0, 204, 0, 0, 312, 0, 0, -333, 0, 0, 594, 0, 0, 44, 0, 0, -18, 0, 0, 60, 0, 0, 228, 0, 0, -54, 0, 0, 0, 0, 0, -420, 0, 0, -178, 0, 0, -48, 0, 0, -318, 0, 0, 45, 0, 0, 10, 0, 0, -411, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, -30, 0, 0, -4, 0, 0, -291, 0, 0, 138, 0, 0, 102, 0, 0, -168, 0, 0, -240, 0, 0, -356, 0, 0, 30, 0, 0, -60, 0, 0, 0, 0, 0, 576, 0, 0, 2, 0, 0, -300, 0, 0, -106, 0, 0, 32, 0, 0, 108, 0, 0, 132, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -616, 0, 0, 156, 0, 0, 40, 0, 0, 75, 0, 0, -870, 0, 0, 62, 0, 0, 354, 0, 0, 114, 0, 0, -52, 0, 0, -9, 0, 0, 0, 0, 0, 96, 0, 0, -72, 0, 0, 372, 0, 0, 354, 0, 0, 216, 0, 0, -256, 0, 0, 384, 0, 0, 0, 0, 0, 86, 0, 0, 0, 0, 0, 470, 0, 0, 300, 0, 0, 369, 0, 0, 642, 0, 0, 414, 0, 0, 416, 0, 0, 588, 0, 0, 26, 0, 0, -256, 0, 0, 314, 0, 0, 0, 0, 0, -624, 0, 0, 138, 0, 0, -528, 0, 0, -150, 0, 0, 122, 0, 0, -180, 0, 0, 24, 0, 0, 0, 0, 0, -302, 0, 0, 0, 0, 0, -696, 0, 0, -198, 0, 0, -372, 0, 0, 66, 0, 0, -204, 0, 0, -72, 0, 0, -324, 0, 0, -208, 0, 0, 170, 0, 0, 91, 0, 0, 0, 0, 0, 216, 0, 0, 196, 0, 0, -87, 0, 0, 8, 0, 0, -384, 0, 0, 720, 0, 0, -285, 0, 0, 0, 0, 0, 87, 0, 0, 0, 0, 0, -556, 0, 0, -160, 0, 0, 173, 0, 0, -342, 0, 0, -354, 0, 0, -376, 0, 0, 174, 0, 0, 478, 0, 0, 59, 0, 0, 198, 0, 0, 0, 0, 0, -30, 0, 0, 104, 0, 0, 414, 0, 0, 311, 0, 0, 48, 0, 0, -345, 0, 0, -156, 0, 0, 0, 0, 0, -78, 0, 0, 0, 0, 0, 724, 0, 0, -294, 0, 0, 468, 0, 0, -96, 0, 0, -114, 0, 0, -36, 0, 0, 516, 0, 0, -69, 0, 0, 180, 0, 0, 177, 0, 0, 0, 0, 0, -150, 0, 0, 344, 0, 0, -690, 0, 0, -288, 0, 0, 131, 0, 0, 392, 0, 0, 396, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 388008
    {'conductor': 9, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '567.2.i.e', 'source_level': 567, 'target_char_orbit': 16, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '189.2.p.b', 'target_level': 189, 'twist_class_label': '189.2.p.b', 'twist_class_level': 189, 'twisting_char_label': '9.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 388009
    {'conductor': 9, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '567.2.i.e', 'source_level': 567, 'target_char_orbit': 16, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '189.2.p.b', 'target_level': 189, 'twist_class_label': '189.2.p.b', 'twist_class_level': 189, 'twisting_char_label': '9.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 388010
    {'conductor': 63, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '567.2.i.e', 'source_level': 567, 'target_char_orbit': 16, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '189.2.p.b', 'target_level': 189, 'twist_class_label': '189.2.p.b', 'twist_class_level': 189, 'twisting_char_label': '63.k', 'twisting_char_orbit': 11, 'weight': 2}
  • id: 388011
    {'conductor': 63, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '567.2.i.e', 'source_level': 567, 'target_char_orbit': 16, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '189.2.p.b', 'target_level': 189, 'twist_class_label': '189.2.p.b', 'twist_class_level': 189, 'twisting_char_label': '63.s', 'twisting_char_orbit': 19, 'weight': 2}
  • id: 388012
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '567.2.i.e', 'source_level': 567, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '567.2.i.e', 'target_level': 567, 'twist_class_label': '189.2.p.b', 'twist_class_level': 189, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 388013
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '567.2.i.e', 'source_level': 567, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '567.2.i.e', 'target_level': 567, 'twist_class_label': '189.2.p.b', 'twist_class_level': 189, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 388014
    {'conductor': 63, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '567.2.i.e', 'source_level': 567, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '567.2.i.e', 'target_level': 567, 'twist_class_label': '189.2.p.b', 'twist_class_level': 189, 'twisting_char_label': '63.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 388015
    {'conductor': 63, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '567.2.i.e', 'source_level': 567, 'target_char_orbit': 9, 'target_dim': 4, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '567.2.i.e', 'target_level': 567, 'twist_class_label': '189.2.p.b', 'twist_class_level': 189, 'twisting_char_label': '63.t', 'twisting_char_orbit': 20, 'weight': 2}
  • id: 388016
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '567.2.i.e', 'source_level': 567, 'target_char_orbit': 19, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '567.2.s.c', 'target_level': 567, 'twist_class_label': '189.2.p.b', 'twist_class_level': 189, 'twisting_char_label': '7.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 388017
    {'conductor': 9, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '567.2.i.e', 'source_level': 567, 'target_char_orbit': 19, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '567.2.s.c', 'target_level': 567, 'twist_class_label': '189.2.p.b', 'twist_class_level': 189, 'twisting_char_label': '9.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 388018
    {'conductor': 9, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '567.2.i.e', 'source_level': 567, 'target_char_orbit': 19, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '567.2.s.c', 'target_level': 567, 'twist_class_label': '189.2.p.b', 'twist_class_level': 189, 'twisting_char_label': '9.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 388019
    {'conductor': 21, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '567.2.i.e', 'source_level': 567, 'target_char_orbit': 19, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '567.2.s.c', 'target_level': 567, 'twist_class_label': '189.2.p.b', 'twist_class_level': 189, 'twisting_char_label': '21.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 388020
    {'conductor': 63, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '567.2.i.e', 'source_level': 567, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '1323.2.c.c', 'target_level': 1323, 'twist_class_label': '189.2.p.b', 'twist_class_level': 189, 'twisting_char_label': '63.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 388021
    {'conductor': 63, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '567.2.i.e', 'source_level': 567, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '1323.2.c.c', 'target_level': 1323, 'twist_class_label': '189.2.p.b', 'twist_class_level': 189, 'twisting_char_label': '63.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 388022
    {'conductor': 63, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '567.2.i.e', 'source_level': 567, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '1323.2.c.c', 'target_level': 1323, 'twist_class_label': '189.2.p.b', 'twist_class_level': 189, 'twisting_char_label': '63.j', 'twisting_char_orbit': 10, 'weight': 2}
  • id: 388023
    {'conductor': 63, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 9, 'source_dim': 4, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '567.2.i.e', 'source_level': 567, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '1323.2.c.c', 'target_level': 1323, 'twist_class_label': '189.2.p.b', 'twist_class_level': 189, 'twisting_char_label': '63.t', 'twisting_char_orbit': 20, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1056950
    {'charpoly_factorization': [[[2, 0, 1], 2]], 'hecke_orbit_code': 18014948298850871, 'p': 2}
  • id: 1056951
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 18014948298850871, 'p': 3}
  • id: 1056952
    {'charpoly_factorization': [[[36, 0, 6, 0, 1], 1]], 'hecke_orbit_code': 18014948298850871, 'p': 5}
  • id: 1056953
    {'charpoly_factorization': [[[7, 1, 1], 2]], 'hecke_orbit_code': 18014948298850871, 'p': 7}
  • id: 1056954
    {'charpoly_factorization': [[[1024, 0, -32, 0, 1], 1]], 'hecke_orbit_code': 18014948298850871, 'p': 11}
  • id: 1056955
    {'charpoly_factorization': [[[12, 6, 1], 2]], 'hecke_orbit_code': 18014948298850871, 'p': 13}
  • id: 1056956
    {'charpoly_factorization': [[[36, 0, 6, 0, 1], 1]], 'hecke_orbit_code': 18014948298850871, 'p': 17}
  • id: 1056957
    {'charpoly_factorization': [[[3, -3, 1], 2]], 'hecke_orbit_code': 18014948298850871, 'p': 19}
  • id: 1056958
    {'charpoly_factorization': [[[2500, 0, -50, 0, 1], 1]], 'hecke_orbit_code': 18014948298850871, 'p': 23}
  • id: 1056959
    {'charpoly_factorization': [[[4, 0, -2, 0, 1], 1]], 'hecke_orbit_code': 18014948298850871, 'p': 29}
  • id: 1056960
    {'charpoly_factorization': [[[27, 0, 1], 2]], 'hecke_orbit_code': 18014948298850871, 'p': 31}
  • id: 1056961
    {'charpoly_factorization': [[[16, -4, 1], 2]], 'hecke_orbit_code': 18014948298850871, 'p': 37}
  • id: 1056962
    {'charpoly_factorization': [[[36, 0, 6, 0, 1], 1]], 'hecke_orbit_code': 18014948298850871, 'p': 41}
  • id: 1056963
    {'charpoly_factorization': [[[49, -7, 1], 2]], 'hecke_orbit_code': 18014948298850871, 'p': 43}
  • id: 1056964
    {'charpoly_factorization': [[[-54, 0, 1], 2]], 'hecke_orbit_code': 18014948298850871, 'p': 47}
  • id: 1056965
    {'charpoly_factorization': [[[4, 0, -2, 0, 1], 1]], 'hecke_orbit_code': 18014948298850871, 'p': 53}
  • id: 1056966
    {'charpoly_factorization': [[[-216, 0, 1], 2]], 'hecke_orbit_code': 18014948298850871, 'p': 59}
  • id: 1056967
    {'charpoly_factorization': [[[27, 0, 1], 2]], 'hecke_orbit_code': 18014948298850871, 'p': 61}
  • id: 1056968
    {'charpoly_factorization': [[[-2, 1], 4]], 'hecke_orbit_code': 18014948298850871, 'p': 67}
  • id: 1056969
    {'charpoly_factorization': [[[8, 0, 1], 2]], 'hecke_orbit_code': 18014948298850871, 'p': 71}
  • id: 1056970
    {'charpoly_factorization': [[[147, -21, 1], 2]], 'hecke_orbit_code': 18014948298850871, 'p': 73}
  • id: 1056971
    {'charpoly_factorization': [[[4, 1], 4]], 'hecke_orbit_code': 18014948298850871, 'p': 79}
  • id: 1056972
    {'charpoly_factorization': [[[9216, 0, 96, 0, 1], 1]], 'hecke_orbit_code': 18014948298850871, 'p': 83}
  • id: 1056973
    {'charpoly_factorization': [[[36, 0, 6, 0, 1], 1]], 'hecke_orbit_code': 18014948298850871, 'p': 89}
  • id: 1056974
    {'charpoly_factorization': [[[75, 15, 1], 2]], 'hecke_orbit_code': 18014948298850871, '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': 9, 'hecke_orbit': 5, 'label': '567.2.i.e', 'level': 567, '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: 41200513
    {'hecke_orbit_code': 18014948298850871, 'n': 1, 'trace_an': 4}
  • id: 41200514
    {'hecke_orbit_code': 18014948298850871, 'n': 2, 'trace_an': 0}
  • id: 41200515
    {'hecke_orbit_code': 18014948298850871, 'n': 3, 'trace_an': 0}
  • id: 41200516
    {'hecke_orbit_code': 18014948298850871, 'n': 4, 'trace_an': 0}
  • id: 41200517
    {'hecke_orbit_code': 18014948298850871, 'n': 5, 'trace_an': 0}
  • id: 41200518
    {'hecke_orbit_code': 18014948298850871, 'n': 6, 'trace_an': 0}
  • id: 41200519
    {'hecke_orbit_code': 18014948298850871, 'n': 7, 'trace_an': -2}
  • id: 41200520
    {'hecke_orbit_code': 18014948298850871, 'n': 8, 'trace_an': 0}
  • id: 41200521
    {'hecke_orbit_code': 18014948298850871, 'n': 9, 'trace_an': 0}
  • id: 41200522
    {'hecke_orbit_code': 18014948298850871, 'n': 10, 'trace_an': 12}
  • id: 41200523
    {'hecke_orbit_code': 18014948298850871, 'n': 11, 'trace_an': 0}
  • id: 41200524
    {'hecke_orbit_code': 18014948298850871, 'n': 12, 'trace_an': 0}
  • id: 41200525
    {'hecke_orbit_code': 18014948298850871, 'n': 13, 'trace_an': -12}
  • id: 41200526
    {'hecke_orbit_code': 18014948298850871, 'n': 14, 'trace_an': 0}
  • id: 41200527
    {'hecke_orbit_code': 18014948298850871, 'n': 15, 'trace_an': 0}
  • id: 41200528
    {'hecke_orbit_code': 18014948298850871, 'n': 16, 'trace_an': -16}
  • id: 41200529
    {'hecke_orbit_code': 18014948298850871, 'n': 17, 'trace_an': 0}
  • id: 41200530
    {'hecke_orbit_code': 18014948298850871, 'n': 18, 'trace_an': 0}
  • id: 41200531
    {'hecke_orbit_code': 18014948298850871, 'n': 19, 'trace_an': 6}
  • id: 41200532
    {'hecke_orbit_code': 18014948298850871, 'n': 20, 'trace_an': 0}
  • id: 41200533
    {'hecke_orbit_code': 18014948298850871, 'n': 21, 'trace_an': 0}
  • id: 41200534
    {'hecke_orbit_code': 18014948298850871, 'n': 22, 'trace_an': 16}
  • id: 41200535
    {'hecke_orbit_code': 18014948298850871, 'n': 23, 'trace_an': 0}
  • id: 41200536
    {'hecke_orbit_code': 18014948298850871, 'n': 24, 'trace_an': 0}
  • id: 41200537
    {'hecke_orbit_code': 18014948298850871, 'n': 25, 'trace_an': -2}
  • id: 41200538
    {'hecke_orbit_code': 18014948298850871, 'n': 26, 'trace_an': 0}
  • id: 41200539
    {'hecke_orbit_code': 18014948298850871, 'n': 27, 'trace_an': 0}
  • id: 41200540
    {'hecke_orbit_code': 18014948298850871, 'n': 28, 'trace_an': 0}
  • id: 41200541
    {'hecke_orbit_code': 18014948298850871, 'n': 29, 'trace_an': 0}
  • id: 41200542
    {'hecke_orbit_code': 18014948298850871, 'n': 30, 'trace_an': 0}
  • id: 41200543
    {'hecke_orbit_code': 18014948298850871, 'n': 31, 'trace_an': 0}
  • id: 41200544
    {'hecke_orbit_code': 18014948298850871, 'n': 32, 'trace_an': 0}
  • id: 41200545
    {'hecke_orbit_code': 18014948298850871, 'n': 33, 'trace_an': 0}
  • id: 41200546
    {'hecke_orbit_code': 18014948298850871, 'n': 34, 'trace_an': 12}
  • id: 41200547
    {'hecke_orbit_code': 18014948298850871, 'n': 35, 'trace_an': 0}
  • id: 41200548
    {'hecke_orbit_code': 18014948298850871, 'n': 36, 'trace_an': 0}
  • id: 41200549
    {'hecke_orbit_code': 18014948298850871, 'n': 37, 'trace_an': 8}
  • id: 41200550
    {'hecke_orbit_code': 18014948298850871, 'n': 38, 'trace_an': 0}
  • id: 41200551
    {'hecke_orbit_code': 18014948298850871, 'n': 39, 'trace_an': 0}
  • id: 41200552
    {'hecke_orbit_code': 18014948298850871, 'n': 40, 'trace_an': 24}
  • id: 41200553
    {'hecke_orbit_code': 18014948298850871, 'n': 41, 'trace_an': 0}
  • id: 41200554
    {'hecke_orbit_code': 18014948298850871, 'n': 42, 'trace_an': 0}
  • id: 41200555
    {'hecke_orbit_code': 18014948298850871, 'n': 43, 'trace_an': 14}
  • id: 41200556
    {'hecke_orbit_code': 18014948298850871, 'n': 44, 'trace_an': 0}
  • id: 41200557
    {'hecke_orbit_code': 18014948298850871, 'n': 45, 'trace_an': 0}
  • id: 41200558
    {'hecke_orbit_code': 18014948298850871, 'n': 46, 'trace_an': -20}
  • id: 41200559
    {'hecke_orbit_code': 18014948298850871, 'n': 47, 'trace_an': 0}
  • id: 41200560
    {'hecke_orbit_code': 18014948298850871, 'n': 48, 'trace_an': 0}
  • id: 41200561
    {'hecke_orbit_code': 18014948298850871, 'n': 49, 'trace_an': -26}
  • id: 41200562
    {'hecke_orbit_code': 18014948298850871, 'n': 50, 'trace_an': 0}
  • id: 41200563
    {'hecke_orbit_code': 18014948298850871, 'n': 51, 'trace_an': 0}
  • id: 41200564
    {'hecke_orbit_code': 18014948298850871, 'n': 52, 'trace_an': 0}
  • id: 41200565
    {'hecke_orbit_code': 18014948298850871, 'n': 53, 'trace_an': 0}
  • id: 41200566
    {'hecke_orbit_code': 18014948298850871, 'n': 54, 'trace_an': 0}
  • id: 41200567
    {'hecke_orbit_code': 18014948298850871, 'n': 55, 'trace_an': 0}
  • id: 41200568
    {'hecke_orbit_code': 18014948298850871, 'n': 56, 'trace_an': 0}
  • id: 41200569
    {'hecke_orbit_code': 18014948298850871, 'n': 57, 'trace_an': 0}
  • id: 41200570
    {'hecke_orbit_code': 18014948298850871, 'n': 58, 'trace_an': 4}
  • id: 41200571
    {'hecke_orbit_code': 18014948298850871, 'n': 59, 'trace_an': 0}
  • id: 41200572
    {'hecke_orbit_code': 18014948298850871, 'n': 60, 'trace_an': 0}
  • id: 41200573
    {'hecke_orbit_code': 18014948298850871, 'n': 61, 'trace_an': 0}
  • id: 41200574
    {'hecke_orbit_code': 18014948298850871, 'n': 62, 'trace_an': 0}
  • id: 41200575
    {'hecke_orbit_code': 18014948298850871, 'n': 63, 'trace_an': 0}
  • id: 41200576
    {'hecke_orbit_code': 18014948298850871, 'n': 64, 'trace_an': -32}
  • id: 41200577
    {'hecke_orbit_code': 18014948298850871, 'n': 65, 'trace_an': 0}
  • id: 41200578
    {'hecke_orbit_code': 18014948298850871, 'n': 66, 'trace_an': 0}
  • id: 41200579
    {'hecke_orbit_code': 18014948298850871, 'n': 67, 'trace_an': 8}
  • id: 41200580
    {'hecke_orbit_code': 18014948298850871, 'n': 68, 'trace_an': 0}
  • id: 41200581
    {'hecke_orbit_code': 18014948298850871, 'n': 69, 'trace_an': 0}
  • id: 41200582
    {'hecke_orbit_code': 18014948298850871, 'n': 70, 'trace_an': -24}
  • id: 41200583
    {'hecke_orbit_code': 18014948298850871, 'n': 71, 'trace_an': 0}
  • id: 41200584
    {'hecke_orbit_code': 18014948298850871, 'n': 72, 'trace_an': 0}
  • id: 41200585
    {'hecke_orbit_code': 18014948298850871, 'n': 73, 'trace_an': 42}
  • id: 41200586
    {'hecke_orbit_code': 18014948298850871, 'n': 74, 'trace_an': 0}
  • id: 41200587
    {'hecke_orbit_code': 18014948298850871, 'n': 75, 'trace_an': 0}
  • id: 41200588
    {'hecke_orbit_code': 18014948298850871, 'n': 76, 'trace_an': 0}
  • id: 41200589
    {'hecke_orbit_code': 18014948298850871, 'n': 77, 'trace_an': 0}
  • id: 41200590
    {'hecke_orbit_code': 18014948298850871, 'n': 78, 'trace_an': 0}
  • id: 41200591
    {'hecke_orbit_code': 18014948298850871, 'n': 79, 'trace_an': -16}
  • id: 41200592
    {'hecke_orbit_code': 18014948298850871, 'n': 80, 'trace_an': 0}
  • id: 41200593
    {'hecke_orbit_code': 18014948298850871, 'n': 81, 'trace_an': 0}
  • id: 41200594
    {'hecke_orbit_code': 18014948298850871, 'n': 82, 'trace_an': 12}
  • id: 41200595
    {'hecke_orbit_code': 18014948298850871, 'n': 83, 'trace_an': 0}
  • id: 41200596
    {'hecke_orbit_code': 18014948298850871, 'n': 84, 'trace_an': 0}
  • id: 41200597
    {'hecke_orbit_code': 18014948298850871, 'n': 85, 'trace_an': -12}
  • id: 41200598
    {'hecke_orbit_code': 18014948298850871, 'n': 86, 'trace_an': 0}
  • id: 41200599
    {'hecke_orbit_code': 18014948298850871, 'n': 87, 'trace_an': 0}
  • id: 41200600
    {'hecke_orbit_code': 18014948298850871, 'n': 88, 'trace_an': 32}
  • id: 41200601
    {'hecke_orbit_code': 18014948298850871, 'n': 89, 'trace_an': 0}
  • id: 41200602
    {'hecke_orbit_code': 18014948298850871, 'n': 90, 'trace_an': 0}
  • id: 41200603
    {'hecke_orbit_code': 18014948298850871, 'n': 91, 'trace_an': -12}
  • id: 41200604
    {'hecke_orbit_code': 18014948298850871, 'n': 92, 'trace_an': 0}
  • id: 41200605
    {'hecke_orbit_code': 18014948298850871, 'n': 93, 'trace_an': 0}
  • id: 41200606
    {'hecke_orbit_code': 18014948298850871, 'n': 94, 'trace_an': 0}
  • id: 41200607
    {'hecke_orbit_code': 18014948298850871, 'n': 95, 'trace_an': 0}
  • id: 41200608
    {'hecke_orbit_code': 18014948298850871, 'n': 96, 'trace_an': 0}
  • id: 41200609
    {'hecke_orbit_code': 18014948298850871, 'n': 97, 'trace_an': -30}
  • id: 41200610
    {'hecke_orbit_code': 18014948298850871, 'n': 98, 'trace_an': 0}
  • id: 41200611
    {'hecke_orbit_code': 18014948298850871, 'n': 99, 'trace_an': 0}
  • id: 41200612
    {'hecke_orbit_code': 18014948298850871, 'n': 100, 'trace_an': 0}