Newform data - 1040.2.df.b

Formats: - HTML - YAML - JSON - 2026-10-22T19:56:17.610279

• 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': 4160, 'analytic_conductor': 8.30444181021316, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 65, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 84, 'char_orbit_label': 'df', 'char_order': 6, 'char_parity': 1, 'char_values': [1040, 6, [911, 261, 417, 561], [6, 6, 3, 5]], 'cm_discs': [], 'conrey_index': 49, 'dim': 8, 'field_disc': 49787136, 'field_disc_factorization': [[2, 8], [3, 4], [7, 4]], 'field_poly': [16, 0, 12, 0, 5, 0, 3, 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': [[3, [1, 0, -1, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4509303377495056, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0], [1, 1, 65, 12, 1, 6, 0], [1, 1, 13, 5, 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': '1040.2.df.b', 'level': 1040, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 13], 'level_radical': 130, 'minimal_twist': '65.2.l.a', 'nf_label': '8.0.49787136.1', 'prim_orbit_index': 12, 'qexp_display': 'q+\\beta _{2}q^{3}+(-1+\\beta _{2}+\\beta _{3}-\\beta _{6})q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1040.2.df', 'trace_display': [0, 0, 0, 0], 'trace_hash': 658436083533693319, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '7.140', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.817', 'prec': 10}, {'__RealLiteral__': 0, 'data': '381.635', 'prec': 20}, {'__RealLiteral__': 0, 'data': '191.705', 'prec': 20}, {'__RealLiteral__': 0, 'data': '31054.410', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.601', 'prec': 10}, 'traces': [8, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 6, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, -20, 0, 0, 0, 0, 0, 12, 0, 0, 0, 16, 0, 0, 0, 0, 0, 14, 0, 0, 0, 60, 0, 24, 0, 0, 0, -24, 0, 0, 0, 0, 0, -12, 0, 0, 0, 8, 0, 0, 0, -48, 0, -4, 0, 0, 0, 42, 0, 0, 0, 48, 0, 12, 0, 0, 0, 6, 0, 0, 0, 0, 0, -36, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -48, 0, 24, 0, 0, 0, 0, 0, 0, 0, 32, 0, -24, 0, 0, 0, -42, 0, 0, 0, -24, 0, 0, 0, 0, 0, -96, 0, 0, 0, -12, 0, 0, 0, 0, 0, 14, 0, 0, 0, 88, 0, -24, 0, 0, 0, -24, 0, 0, 0, -36, 0, -40, 0, 0, 0, -42, 0, 0, 0, -60, 0, -48, 0, 0, 0, 18, 0, 0, 0, -24, 0, 48, 0, 0, 0, 14, 0, 0, 0, 0, 0, 36, 0, 0, 0, -78, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -12, 0, 0, 0, 24, 0, 0, 0, -60, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, -60, 0, 0, 0, 84, 0, 0, 0, 24, 0, 0, 0, 0, 0, 12, 0, 0, 0, 16, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 72, 0, 0, 0, -78, 0, 0, 0, -24, 0, -24, 0, 0, 0, -12, 0, 0, 0, 84, 0, 24, 0, 0, 0, -16, 0, 0, 0, 24, 0, -24, 0, 0, 0, -18, 0, 0, 0, -96, 0, 84, 0, 0, 0, 42, 0, 0, 0, 72, 0, -40, 0, 0, 0, 22, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 54, 0, 0, 0, -36, 0, -16, 0, 0, 0, 0, 0, 0, 0, -48, 0, 168, 0, 0, 0, 0, 0, 0, 0, -12, 0, -60, 0, 0, 0, -6, 0, 0, 0, 60, 0, 0, 0, 0, 0, -32, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, 42, 0, 0, 0, -52, 0, -64, 0, 0, 0, -10, 0, 0, 0, 168, 0, 28, 0, 0, 0, -42, 0, 0, 0, 0, 0, 120, 0, 0, 0, 36, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 96, 0, 0, 0, -56, 0, 0, 0, 0, 0, -48, 0, 0, 0, -54, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -120, 0, 0, 0, 78, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 48, 0, 0, 0, 0, 0, 42, 0, 0, 0, 168, 0, 84, 0, 0, 0, -30, 0, 0, 0, -24, 0, 24, 0, 0, 0, 0, 0, 0, 0, -48, 0, 60, 0, 0, 0, 12, 0, 0, 0, 12, 0, 120, 0, 0, 0, -42, 0, 0, 0, -96, 0, 24, 0, 0, 0, 24, 0, 0, 0, 0, 0, 96, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 96, 0, 0, 0, -150, 0, 0, 0, 24, 0, -36, 0, 0, 0, 0, 0, 0, 0, 112, 0, 24, 0, 0, 0, 0, 0, 0, 0, -12, 0, 72, 0, 0, 0, -18, 0, 0, 0, -60, 0, 0, 0, 0, 0, -80, 0, 0, 0, 24, 0, 0, 0, 0, 0, -46, 0, 0, 0, 24, 0, -192, 0, 0, 0, 78, 0, 0, 0, -48, 0, -96, 0, 0, 0, 40, 0, 0, 0, 252, 0, 48, 0, 0, 0, -70, 0, 0, 0, -12, 0, 72, 0, 0, 0, 84, 0, 0, 0, -104, 0, -84, 0, 0, 0, 24, 0, 0, 0, 228, 0, -48, 0, 0, 0, 58, 0, 0, 0, 0, 0, -8, 0, 0, 0, 72, 0, 0, 0, 0, 0, -264, 0, 0, 0, -84, 0, 0, 0, -108, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 36, 0, 144, 0, 0, 0, 24, 0, 0, 0, 168, 0, 0, 0, 0, 0, -84, 0, 0, 0, -36, 0, 0, 0, 0, 0, 102, 0, 0, 0, 72, 0, 144, 0, 0, 0, 0, 0, 0, 0, -60, 0, 96, 0, 0, 0, -38, 0, 0, 0, -156, 0, 32, 0, 0, 0, -48, 0, 0, 0, -56, 0, -252, 0, 0, 0, 12, 0, 0, 0, -24, 0, 0, 0, 0, 0, -114, 0, 0, 0, 0, 0, -144, 0, 0, 0, -54, 0, 0, 0, 0, 0, -36, 0, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 0, -252, 0, 84, 0, 0, 0, 0, 0, 0, 0, 144, 0, -120, 0, 0, 0, 0, 0, 0, 0, -180, 0, 168, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 84, 0, 0, 0, 68, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, -72, 0, 0, 0, 30, 0, 0, 0, -36, 0, -280, 0, 0, 0, -66, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 28, 0, -72, 0, 0, 0, 46, 0, 0, 0, -168, 0, -52, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 66, 0, 0, 0, 0, 0, 68, 0, 0, 0, -84, 0, 0, 0, 0, 0, 24, 0, 0, 0, 84, 0, 0, 0, -132, 0, 192, 0, 0, 0, 0, 0, 0, 0, -32, 0, -24, 0, 0, 0, 0, 0, 0, 0, 12, 0, -84, 0, 0, 0, 138, 0, 0, 0, -84, 0, 0, 0, 0, 0, -68, 0, 0, 0, 72, 0, 0, 0, 0, 0, 48, 0, 0, 0, 240, 0, 168, 0, 0, 0, -108, 0, 0, 0, -32, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 42, 0, 0, 0, -36, 0, 0, 0, 0, 0, -30, 0, 0, 0, -104, 0, 60, 0, 0, 0, -108, 0, 0, 0, -60, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 36, 0, 0, 0, 96, 0, 0, 0, 0, 0, 72, 0, 0, 0, -42, 0, 0, 0, 72, 0, 120, 0, 0, 0, 0, 0, 0, 0, 96, 0, 128, 0, 0, 0, 0, 0, 0, 0, -24, 0, -192, 0, 0, 0, -36, 0, 0, 0, 84, 0, 0, 0, 0, 0, -184, 0, 0, 0, 84, 0, 0, 0, 0, 0, -6, 0, 0, 0, 36, 0, 144, 0, 0, 0, -96, 0, 0, 0, -84, 0, -168, 0, 0, 0, 0, 0, 0, 0, 228, 0, -112, 0, 0, 0, -42, 0, 0, 0, -60, 0, 0, 0, 0, 0, 44, 0, 0, 0, -344, 0, 64, 0, 0, 0, -138, 0, 0, 0, 60, 0, -24, 0, 0, 0, 42, 0, 0, 0, 0, 0, 84, 0, 0, 0, 168, 0, 0, 0, 0, 0, 72, 0, 0, 0, -138, 0, 0, 0, -96, 0, -12, 0, 0, 0, 0, 0, 0, 0, -32, 0, 144, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 54, 0, 0, 0, 156, 0, 0, 0, 0, 0, 48, 0, 0, 0, -12, 0, 0, 0, 0, 0, 38, 0, 0, 0, 48, 0, 48, 0, 0, 0, 90, 0, 0, 0, -12, 0, 96, 0, 0, 0, 30, 0, 0, 0, 24, 0, 84, 0, 0, 0, -12, 0, 0, 0, -104, 0, -12, 0, 0, 0, -14, 0, 0, 0, -240, 0, -112, 0, 0, 0, 30, 0, 0, 0, 108, 0, -120, 0, 0, 0, 96, 0, 0, 0, 0, 0, 24, 0, 0, 0, 160, 0, 0, 0, 0, 0, 84, 0, 0, 0, -210, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 120, 0, 0, 0, 0, 0, 0, 0, 24, 0, 84, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 76, 0, 0, 0, 0, 0, 58, 0, 0, 0, 336, 0, -12, 0, 0, 0, 168, 0, 0, 0, 84, 0, 192, 0, 0, 0, 70, 0, 0, 0, -24, 0, 12, 0, 0, 0, -126, 0, 0, 0, 36, 0, -72, 0, 0, 0, 6, 0, 0, 0, 72, 0, -192, 0, 0, 0, -54, 0, 0, 0, 48, 0, 8, 0, 0, 0, -84, 0, 0, 0, 0, 0, 24, 0, 0, 0, 168, 0, 0, 0, 0, 0, -252, 0, 0, 0, -120, 0, 0, 0, -84, 0, 56, 0, 0, 0, 0, 0, 0, 0, 336, 0, 120, 0, 0, 0, 0, 0, 0, 0, -36, 0, 12, 0, 0, 0, 48, 0, 0, 0, -168, 0, 0, 0, 0, 0, 40, 0, 0, 0, 24, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, -144, 0, 0, 0, 6, 0, 0, 0, -144, 0, 144, 0, 0, 0, 42, 0, 0, 0, 276, 0, -24, 0, 0, 0, -216, 0, 0, 0, 40, 0, 144, 0, 0, 0, 60, 0, 0, 0, -280, 0, -60, 0, 0, 0, -120, 0, 0, 0, 252, 0, 80, 0, 0, 0, -54, 0, 0, 0, 0, 0, -84, 0, 0, 0, 168, 0, 0, 0, 0, 0, -72, 0, 0, 0, -96, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 72, 0, 96, 0, 0, 0, 0, 0, 0, 0, 60, 0, 192, 0, 0, 0, 168, 0, 0, 0, 216, 0, 0, 0, 0, 0, -132, 0, 0, 0, -96, 0, 0, 0, 0, 0, 84, 0, 0, 0, 60, 0, 48, 0, 0, 0, -186, 0, 0, 0, -168, 0, 72, 0, 0, 0, -78, 0, 0, 0, -84, 0, -168, 0, 0, 0, -120, 0, 0, 0, -272, 0, 72, 0, 0, 0, -14, 0, 0, 0, -168, 0, 84, 0, 0, 0, -168, 0, 0, 0, 0, 0, 36, 0, 0, 0, -42, 0, 0, 0, 0, 0, -48, 0, 0, 0, 328, 0, 0, 0, 0, 0, 276, 0, 0, 0, -96, 0, 0, 0, -240, 0, -36, 0, 0, 0, 0, 0, 0, 0, 168, 0, -48, 0, 0, 0, 0, 0, 0, 0, -108, 0, -108, 0, 0, 0, 54, 0, 0, 0, 96, 0, 0, 0, 0, 0, -56, 0, 0, 0, 56, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 12, 0, 0, 0, -78, 0, 0, 0, 48, 0, -144, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -324, 0, 0, 0, 102, 0, 0, 0, -144, 0, 12, 0, 0, 0, -102, 0, 0, 0, 84, 0, -112, 0, 0, 0, 106, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 156, 0, 0, 0, -144, 0, -108, 0, 0, 0, 0, 0, 0, 0, -144, 0, 88, 0, 0, 0, 0, 0, 0, 0, -12, 0, -252, 0, 0, 0, 60, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 114, 0, 0, 0, 0, 0, 252, 0, 0, 0, 18, 0, 0, 0, -128, 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

  
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2, -2, 2], [9, 3, 3, -3, 6, -3, 3, 3], [0, 15, -8, 0, -8, 15, -30, 30], [-1, -6, -6, -13, 0, 6, 6, 6], [0, -8, 21, 0, -21, -8, 0, 0], [44, -4, -4, -4, -2, 4, 2, 2], [0, -3, -10, 0, 10, -3, 0, 0], [23, -22, -22, -21, 0, 22, 22, 22], [-28, -15, -15, -1, -15, 15, 0, 0], [0, 9, 30, 0, 0, 9, 9, -9], [0, 21, 4, 0, 8, 21, -21, 21], [-1, -11, -11, -23, 0, 11, 11, 11], [0, 0, -24, 0, -12, 0, 14, -14], [-39, -3, -3, 33, -6, 3, -3, -3], [0, -4, 0, 0, 48, -4, 2, -2], [46, 2, 2, -21, 2, -2, 0, 0], [2, -1, -1, -7, 1, 1, 2, 2], [0, -12, 9, 0, 18, -12, 12, -12], [0, -6, 0, 0, -9, -6, 3, -3], [0, 18, 15, 0, -15, 18, 0, 0], [0, 12, 0, 0, -22, 12, -6, 6], [0, -12, -15, 0, 0, -12, -12, 12], [16, 0, 0, -20, 6, 0, 6, 6], [0, 15, -6, 0, 0, 15, 15, -15], [0, 4, -23, 0, 23, 4, 0, 0], [-20, 10, 10, 25, -10, -10, -20, -20], [36, -13, -13, -31, -13, 13, 0, 0], [24, 0, 0, -40, 4, 0, 4, 4], [0, -9, -6, 0, 6, -9, 0, 0], [0, -2, -9, 0, -9, -2, 4, -4], [0, 18, 18, 18, 9, -18, -9, -9], [0, 0, 28, 0, 14, 0, -12, 12], [0, 18, 13, 0, 26, 18, -18, 18], [-6, 3, 3, -65, -3, -3, -6, -6], [0, -6, 19, 0, 19, -6, 12, -12], [0, -3, -26, 0, -52, -3, 3, -3], [0, 5, -26, 0, 26, 5, 0, 0], [-32, 0, 0, 76, 6, 0, 6, 6], [46, 0, 0, -23, 0, 0, 0, 0], [8, -4, -4, -13, 4, 4, 8, 8], [0, 4, -39, 0, 0, 4, 4, -4], [-21, 12, 12, 3, 0, -12, -12, -12], [0, 4, 0, 0, 24, 4, -2, 2], [-23, 24, 24, 25, 0, -24, -24, -24], [0, 0, -24, 0, -12, 0, 18, -18], [-24, 12, 12, 12, 6, -12, -6, -6], [0, 0, 0, 0, -58, 0, 0, 0], [0, 0, -28, 0, -14, 0, 10, -10], [44, -3, -3, -25, -3, 3, 0, 0], [10, -5, -5, -5, 5, 5, 10, 10], [-5, -8, -8, -11, -16, 8, -8, -8], [0, -11, 24, 0, 24, -11, 22, -22], [0, 7, 30, 0, 60, 7, -7, 7], [-12, -7, -7, -1, -7, 7, 0, 0], [0, 6, -27, 0, -27, 6, -12, 12], [-26, 16, 16, 16, 8, -16, -8, -8], [8, 6, 6, 6, 3, -6, -3, -3], [0, -8, 45, 0, 0, -8, -8, 8], [35, 8, 8, -19, 16, -8, 8, 8], [0, -21, 6, 0, 12, -21, 21, -21], [0, 4, -27, 0, -27, 4, -8, 8], [0, 0, -32, 0, -16, 0, 2, -2], [-23, 9, 9, 41, 18, -9, 9, 9]], 'char_orbit_index': 84, 'field_poly': [16, 0, 12, 0, 5, 0, 3, 0, 1], 'hecke_orbit_code': 4509303377495056, 'hecke_ring_character_values': [[911, [1, 0, 0, 0, 0, 0, 0, 0]], [261, [1, 0, 0, 0, 0, 0, 0, 0]], [417, [-1, 0, 0, 0, 0, 0, 0, 0]], [561, [0, 0, 0, 1, 0, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 20, 40, 20, 40, 20, 20, 40], 'hecke_ring_inverse_denominators': [1, 2, 2, 2, 2, 2, 2, 2], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0, 0, 0], [0, 1, -1, 0, -1, 1, 0, 0], [-2, -1, -1, 2, 0, 1, 1, 1], [0, 0, 0, 0, 5, 0, -1, 1], [0, 3, 3, 2, 3, -3, 0, 0], [0, 1, 11, 0, 0, 1, -1, 1], [-14, 0, 0, 0, -5, 0, -5, -5], [0, -7, -13, 0, -13, -7, 0, 0]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0, 0, 0], [-12, 20, -5, 0, 5, 0, -1, 0], [0, -12, 0, -5, 0, 5, 0, -1], [36, 0, 15, 0, 5, 0, 3, 0], [0, -16, 0, 5, 0, -5, 0, -3], [12, 6, 5, 0, -5, 0, 1, -2], [-28, -16, 0, -15, 0, -5, -4, -3], [-56, 48, 0, 25, 0, 15, -8, 9]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 8, 'label': '1040.2.df.b', 'level': 1040, 'maxp': 1999, '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': 4160, 'analytic_conductor': 8.30444181021316, 'char_conductor': 65, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 84, 'char_orbit_label': 'df', 'char_order': 6, 'char_parity': 1, 'char_values': [1040, 6, [911, 261, 417, 561], [6, 6, 3, 5]], 'conrey_index': 49, 'cusp_dim': 312, 'dim': 80, 'eis_dim': 48, 'eis_new_dim': 8, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 5703750124560, 'hecke_orbit_dims': [8, 8, 8, 16, 20, 20], 'label': '1040.2.df', 'level': 1040, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 13], 'level_radical': 130, 'mf_dim': 360, 'mf_new_dim': 88, 'num_forms': 6, 'prim_orbit_index': 12, 'relative_dim': 40, 'sturm_bound': 336, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 'traces': [80, 0, 0, 0, 0, 0, 0, 0, 34, 0, 6, 0, 0, 0, 12, 0, 0, 0, 6, 0, 0, 0, 0, 0, -2, 0, 0, 0, -4, 0, 0, 0, 0, 0, 6, 0, 0, 0, -2, 0, 0, 0, 0, 0, 27, 0, 0, 0, -26, 0, 44, 0, 0, 0, -8, 0, 0, 0, 30, 0, -12, 0, 0, 0, -1, 0, 0, 0, -14, 0, 42, 0, 0, 0, -10, 0, 0, 0, 16, 0, -4, 0, 0, 0, -21, 0, 0, 0, -18, 0, 54, 0, 0, 0, -26, 0, 0, 0, 0, 0, 8, 0, 0, 0, -16, 0, 0, 0, 0, 0, 54, 0, 0, 0, -12, 0, 0, 0, -18, 0, 14, 0, 0, 0, 0, 0, 0, 0, -52, 0, -144, 0, 0, 0, 0, 0, 0, 0, -26, 0, -24, 0, 0, 0, -3, 0, 0, 0, 24, 0, 0, 0, 0, 0, 44, 0, 0, 0, 76, 0, 0, 0, 0, 0, -30, 0, 0, 0, -6, 0, 96, 0, 0, 0, -72, 0, 0, 0, 54, 0, -52, 0, 0, 0, 9, 0, 0, 0, 90, 0, -50, 0, 0, 0, -126, 0, 0, 0, -2, 0, -6, 0, 0, 0, -31, 0, 0, 0, -44, 0, 62, 0, 0, 0, 18, 0, 0, 0, -48, 0, -38, 0, 0, 0, -47, 0, 0, 0, 0, 0, -102, 0, 0, 0, 68, 0, 0, 0, 0, 0, -48, 0, 0, 0, 75, 0, 0, 0, -72, 0, -102, 0, 0, 0, 0, 0, 0, 0, -244, 0, 28, 0, 0, 0, 0, 0, 0, 0, 2, 0, 42, 0, 0, 0, -90, 0, 0, 0, -228, 0, 0, 0, 0, 0, -44, 0, 0, 0, -52, 0, 0, 0, 0, 0, 4, 0, 0, 0, 94, 0, -54, 0, 0, 0, 111, 0, 0, 0, -12, 0, -200, 0, 0, 0, -12, 0, 0, 0, -102, 0, -54, 0, 0, 0, 33, 0, 0, 0, -4, 0, -258, 0, 0, 0, 108, 0, 0, 0, 140, 0, -76, 0, 0, 0, -36, 0, 0, 0, -6, 0, -128, 0, 0, 0, 102, 0, 0, 0, 0, 0, 22, 0, 0, 0, -42, 0, 0, 0, 0, 0, -108, 0, 0, 0, -42, 0, 0, 0, 90, 0, 66, 0, 0, 0, 0, 0, 0, 0, -28, 0, 188, 0, 0, 0, 0, 0, 0, 0, 138, 0, 36, 0, 0, 0, 63, 0, 0, 0, 84, 0, 0, 0, 0, 0, -40, 0, 0, 0, -134, 0, 0, 0, 0, 0, -19, 0, 0, 0, -14, 0, -54, 0, 0, 0, 204, 0, 0, 0, 14, 0, 36, 0, 0, 0, 36, 0, 0, 0, 54, 0, 162, 0, 0, 0, 248, 0, 0, 0, 18, 0, -36, 0, 0, 0, -56, 0, 0, 0, 100, 0, -108, 0, 0, 0, 108, 0, 0, 0, 174, 0, 32, 0, 0, 0, 28, 0, 0, 0, 0, 0, 42, 0, 0, 0, -80, 0, 0, 0, 0, 0, 234, 0, 0, 0, 147, 0, 0, 0, 24, 0, 148, 0, 0, 0, 0, 0, 0, 0, 436, 0, -84, 0, 0, 0, 0, 0, 0, 0, 2, 0, 216, 0, 0, 0, 204, 0, 0, 0, 252, 0, 0, 0, 0, 0, 48, 0, 0, 0, 154, 0, 0, 0, 0, 0, -70, 0, 0, 0, -50, 0, -210, 0, 0, 0, -75, 0, 0, 0, -50, 0, 280, 0, 0, 0, 6, 0, 0, 0, 174, 0, 0, 0, 0, 0, 6, 0, 0, 0, 68, 0, 666, 0, 0, 0, -120, 0, 0, 0, -296, 0, -96, 0, 0, 0, -9, 0, 0, 0, 174, 0, 272, 0, 0, 0, -192, 0, 0, 0, 0, 0, 102, 0, 0, 0, 30, 0, 0, 0, 0, 0, 102, 0, 0, 0, 120, 0, 0, 0, -156, 0, 24, 0, 0, 0, 0, 0, 0, 0, 44, 0, -584, 0, 0, 0, 0, 0, 0, 0, -158, 0, -24, 0, 0, 0, 54, 0, 0, 0, -54, 0, 0, 0, 0, 0, 24, 0, 0, 0, 134, 0, 0, 0, 0, 0, 77, 0, 0, 0, 22, 0, 294, 0, 0, 0, -300, 0, 0, 0, -56, 0, 64, 0, 0, 0, 12, 0, 0, 0, -132, 0, -80, 0, 0, 0, -270, 0, 0, 0, -14, 0, -24, 0, 0, 0, -29, 0, 0, 0, 136, 0, 230, 0, 0, 0, -102, 0, 0, 0, -282, 0, -140, 0, 0, 0, 107, 0, 0, 0, 0, 0, -138, 0, 0, 0, 84, 0, 0, 0, 0, 0, 294, 0, 0, 0, -327, 0, 0, 0, 114, 0, -258, 0, 0, 0, 0, 0, 0, 0, -300, 0, 12, 0, 0, 0, 0, 0, 0, 0, -70, 0, -306, 0, 0, 0, -462, 0, 0, 0, -444, 0, 0, 0, 0, 0, -128, 0, 0, 0, 128, 0, 0, 0, 0, 0, -10, 0, 0, 0, -40, 0, 18, 0, 0, 0, -96, 0, 0, 0, 36, 0, -612, 0, 0, 0, -50, 0, 0, 0, -6, 0, 60, 0, 0, 0, -115, 0, 0, 0, 18, 0, -642, 0, 0, 0, 194, 0, 0, 0, 368, 0, 250, 0, 0, 0, 6, 0, 0, 0, -192, 0, -318, 0, 0, 0, 302, 0, 0, 0, 0, 0, -4, 0, 0, 0, -132, 0, 0, 0, 0, 0, -498, 0, 0, 0, -156, 0, 0, 0, -216, 0, -22, 0, 0, 0, 0, 0, 0, 0, -204, 0, 704, 0, 0, 0, 0, 0, 0, 0, 102, 0, -96, 0, 0, 0, 153, 0, 0, 0, -192, 0, 0, 0, 0, 0, 132, 0, 0, 0, -200, 0, 0, 0, 0, 0, 176, 0, 0, 0, -34, 0, -216, 0, 0, 0, 282, 0, 0, 0, -82, 0, 80, 0, 0, 0, -71, 0, 0, 0, -438, 0, 210, 0, 0, 0, 552, 0, 0, 0, 30, 0, 48, 0, 0, 0, 64, 0, 0, 0, -276, 0, -222, 0, 0, 0, 6, 0, 0, 0, 306, 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: 628165
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 12, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '65.2.l.a', 'target_level': 65, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 628166
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 12, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '65.2.l.a', 'target_level': 65, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 628167
    {'conductor': 52, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 12, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '65.2.l.a', 'target_level': 65, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '52.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 628168
    {'conductor': 260, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 12, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '65.2.l.a', 'target_level': 65, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '260.w', 'twisting_char_orbit': 23, 'weight': 2}
  • id: 628169
    {'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 14, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '325.2.n.b', 'target_level': 325, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 628170
    {'conductor': 260, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 14, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '325.2.n.b', 'target_level': 325, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '260.bg', 'twisting_char_orbit': 33, 'weight': 2}
  • id: 628171
    {'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 14, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '325.2.n.c', 'target_level': 325, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 628172
    {'conductor': 260, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 14, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '325.2.n.c', 'target_level': 325, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '260.bg', 'twisting_char_orbit': 33, 'weight': 2}
  • id: 628173
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 32, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '585.2.bf.a', 'target_level': 585, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 628174
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 32, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '585.2.bf.a', 'target_level': 585, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 628175
    {'conductor': 156, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 32, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '585.2.bf.a', 'target_level': 585, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '156.r', 'twisting_char_orbit': 18, 'weight': 2}
  • id: 628176
    {'conductor': 780, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 32, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '585.2.bf.a', 'target_level': 585, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '780.cb', 'twisting_char_orbit': 54, 'weight': 2}
  • id: 628177
    {'conductor': 52, 'degree': 4, 'multiplicity': 2, 'order': 12, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 2, 'target_dim': 8, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '845.2.b.f', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '52.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 628178
    {'conductor': 260, 'degree': 4, 'multiplicity': 2, 'order': 12, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 2, 'target_dim': 8, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '845.2.b.f', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '260.bc', 'twisting_char_orbit': 29, 'weight': 2}
  • id: 628179
    {'conductor': 52, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 4, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '845.2.d.c', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '52.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 628180
    {'conductor': 52, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 4, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '845.2.d.c', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '52.j', 'twisting_char_orbit': 10, 'weight': 2}
  • id: 628181
    {'conductor': 260, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 4, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '845.2.d.c', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '260.v', 'twisting_char_orbit': 22, 'weight': 2}
  • id: 628182
    {'conductor': 260, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 4, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '845.2.d.c', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '260.w', 'twisting_char_orbit': 23, 'weight': 2}
  • id: 628183
    {'conductor': 52, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 12, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '845.2.l.c', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '52.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 628184
    {'conductor': 52, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 12, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '845.2.l.c', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '52.j', 'twisting_char_orbit': 10, 'weight': 2}
  • id: 628185
    {'conductor': 260, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 12, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '845.2.l.c', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '260.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 628186
    {'conductor': 260, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 12, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '845.2.l.c', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '260.v', 'twisting_char_orbit': 22, 'weight': 2}
  • id: 628187
    {'conductor': 52, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 14, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '845.2.n.c', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '52.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 628188
    {'conductor': 52, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 14, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '845.2.n.c', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '52.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 628189
    {'conductor': 260, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 14, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '845.2.n.c', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '260.u', 'twisting_char_orbit': 21, 'weight': 2}
  • id: 628190
    {'conductor': 260, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 14, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '845.2.n.c', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '260.bc', 'twisting_char_orbit': 29, 'weight': 2}
  • id: 628191
    {'conductor': 52, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 14, 'target_dim': 8, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '845.2.n.d', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '52.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 628192
    {'conductor': 52, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 14, 'target_dim': 8, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '845.2.n.d', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '52.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 628193
    {'conductor': 260, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 14, 'target_dim': 8, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '845.2.n.d', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '260.u', 'twisting_char_orbit': 21, 'weight': 2}
  • id: 628194
    {'conductor': 260, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 14, 'target_dim': 8, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '845.2.n.d', 'target_level': 845, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '260.bc', 'twisting_char_orbit': 29, 'weight': 2}
  • id: 628195
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 84, 'target_dim': 8, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '1040.2.df.b', 'target_level': 1040, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 628196
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 84, 'target_dim': 8, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '1040.2.df.b', 'target_level': 1040, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 628197
    {'conductor': 13, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 84, 'target_dim': 8, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '1040.2.df.b', 'target_level': 1040, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '13.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 628198
    {'conductor': 65, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 84, 'target_dim': 8, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '1040.2.df.b', 'target_level': 1040, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '65.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 628199
    {'conductor': 260, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 36, 'target_is_minimal': False, 'target_label': '4225.2.a.bj', 'target_level': 4225, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '260.be', 'twisting_char_orbit': 31, 'weight': 2}
  • id: 628200
    {'conductor': 260, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 36, 'target_is_minimal': False, 'target_label': '4225.2.a.bj', 'target_level': 4225, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '260.bl', 'twisting_char_orbit': 38, 'weight': 2}
  • id: 628201
    {'conductor': 260, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 37, 'target_is_minimal': False, 'target_label': '4225.2.a.bk', 'target_level': 4225, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '260.be', 'twisting_char_orbit': 31, 'weight': 2}
  • id: 628202
    {'conductor': 260, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 84, 'source_dim': 8, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '1040.2.df.b', 'source_level': 1040, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 37, 'target_is_minimal': False, 'target_label': '4225.2.a.bk', 'target_level': 4225, 'twist_class_label': '65.2.l.a', 'twist_class_level': 65, 'twisting_char_label': '260.bl', 'twisting_char_orbit': 38, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1625075
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4509303377495056, 'p': 2}
  • id: 1625076
    {'charpoly_factorization': [[[1, 0, -1, 0, 1], 2]], 'hecke_orbit_code': 4509303377495056, 'p': 3}
  • id: 1625077
    {'charpoly_factorization': [[[625, 0, 0, 0, -34, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4509303377495056, 'p': 5}
  • id: 1625078
    {'charpoly_factorization': [[[9, 0, 3, 0, 1], 2]], 'hecke_orbit_code': 4509303377495056, 'p': 7}
  • id: 1625079
    {'charpoly_factorization': [[[49, 0, -7, 0, 1], 2]], 'hecke_orbit_code': 4509303377495056, 'p': 11}
  • id: 1625080
    {'charpoly_factorization': [[[169, 0, -22, 0, 1], 2]], 'hecke_orbit_code': 4509303377495056, 'p': 13}
  • id: 1625081
    {'charpoly_factorization': [[[441, 0, -21, 0, 1], 2]], 'hecke_orbit_code': 4509303377495056, 'p': 17}
  • id: 1625082
    {'charpoly_factorization': [[[3, -3, 1], 4]], 'hecke_orbit_code': 4509303377495056, 'p': 19}
  • id: 1625083
    {'charpoly_factorization': [[[441, 0, -21, 0, 1], 2]], 'hecke_orbit_code': 4509303377495056, 'p': 23}
  • id: 1625084
    {'charpoly_factorization': [[[441, 0, 21, 0, 1], 2]], 'hecke_orbit_code': 4509303377495056, 'p': 29}
  • id: 1625085
    {'charpoly_factorization': [[[3600, 0, 132, 0, 1], 2]], 'hecke_orbit_code': 4509303377495056, 'p': 31}
  • id: 1625086
    {'charpoly_factorization': [[[3969, 0, 63, 0, 1], 2]], 'hecke_orbit_code': 4509303377495056, 'p': 37}
  • id: 1625087
    {'charpoly_factorization': [[[49, 0, -7, 0, 1], 2]], 'hecke_orbit_code': 4509303377495056, 'p': 41}
  • id: 1625088
    {'charpoly_factorization': [[[50625, 0, -25650, 0, 12771, 0, -114, 0, 1], 1]], 'hecke_orbit_code': 4509303377495056, 'p': 43}
  • id: 1625089
    {'charpoly_factorization': [[[256, 0, -80, 0, 1], 2]], 'hecke_orbit_code': 4509303377495056, 'p': 47}
  • id: 1625090
    {'charpoly_factorization': [[[144, 0, 60, 0, 1], 2]], 'hecke_orbit_code': 4509303377495056, 'p': 53}
  • id: 1625091
    {'charpoly_factorization': [[[2209, -1410, 347, -30, 1], 2]], 'hecke_orbit_code': 4509303377495056, 'p': 59}
  • id: 1625092
    {'charpoly_factorization': [[[225, -180, 129, -12, 1], 2]], 'hecke_orbit_code': 4509303377495056, 'p': 61}
  • id: 1625093
    {'charpoly_factorization': [[[50625, 0, 49950, 0, 49059, 0, 222, 0, 1], 1]], 'hecke_orbit_code': 4509303377495056, 'p': 67}
  • id: 1625094
    {'charpoly_factorization': [[[625, -150, -13, 6, 1], 2]], 'hecke_orbit_code': 4509303377495056, 'p': 71}
  • id: 1625095
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4509303377495056, 'p': 73}
  • id: 1625096
    {'charpoly_factorization': [[[6, 1], 8]], 'hecke_orbit_code': 4509303377495056, 'p': 79}
  • id: 1625097
    {'charpoly_factorization': [[[4624, 0, -164, 0, 1], 2]], 'hecke_orbit_code': 4509303377495056, 'p': 83}
  • id: 1625098
    {'charpoly_factorization': [[[1681, -984, 233, -24, 1], 2]], 'hecke_orbit_code': 4509303377495056, 'p': 89}
  • id: 1625099
    {'charpoly_factorization': [[[6765201, 0, 390150, 0, 19899, 0, 150, 0, 1], 1]], 'hecke_orbit_code': 4509303377495056, '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': 84, 'hecke_orbit': 2, 'label': '1040.2.df.b', 'level': 1040, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 25868347
    {'hecke_orbit_code': 4509303377495056, 'n': 1, 'trace_an': 8}
  • id: 25868348
    {'hecke_orbit_code': 4509303377495056, 'n': 2, 'trace_an': 0}
  • id: 25868349
    {'hecke_orbit_code': 4509303377495056, 'n': 3, 'trace_an': 0}
  • id: 25868350
    {'hecke_orbit_code': 4509303377495056, 'n': 4, 'trace_an': 0}
  • id: 25868351
    {'hecke_orbit_code': 4509303377495056, 'n': 5, 'trace_an': 0}
  • id: 25868352
    {'hecke_orbit_code': 4509303377495056, 'n': 6, 'trace_an': 0}
  • id: 25868353
    {'hecke_orbit_code': 4509303377495056, 'n': 7, 'trace_an': 0}
  • id: 25868354
    {'hecke_orbit_code': 4509303377495056, 'n': 8, 'trace_an': 0}
  • id: 25868355
    {'hecke_orbit_code': 4509303377495056, 'n': 9, 'trace_an': -8}
  • id: 25868356
    {'hecke_orbit_code': 4509303377495056, 'n': 10, 'trace_an': 0}
  • id: 25868357
    {'hecke_orbit_code': 4509303377495056, 'n': 11, 'trace_an': 0}
  • id: 25868358
    {'hecke_orbit_code': 4509303377495056, 'n': 12, 'trace_an': 0}
  • id: 25868359
    {'hecke_orbit_code': 4509303377495056, 'n': 13, 'trace_an': 0}
  • id: 25868360
    {'hecke_orbit_code': 4509303377495056, 'n': 14, 'trace_an': 0}
  • id: 25868361
    {'hecke_orbit_code': 4509303377495056, 'n': 15, 'trace_an': 6}
  • id: 25868362
    {'hecke_orbit_code': 4509303377495056, 'n': 16, 'trace_an': 0}
  • id: 25868363
    {'hecke_orbit_code': 4509303377495056, 'n': 17, 'trace_an': 0}
  • id: 25868364
    {'hecke_orbit_code': 4509303377495056, 'n': 18, 'trace_an': 0}
  • id: 25868365
    {'hecke_orbit_code': 4509303377495056, 'n': 19, 'trace_an': 12}
  • id: 25868366
    {'hecke_orbit_code': 4509303377495056, 'n': 20, 'trace_an': 0}
  • id: 25868367
    {'hecke_orbit_code': 4509303377495056, 'n': 21, 'trace_an': 0}
  • id: 25868368
    {'hecke_orbit_code': 4509303377495056, 'n': 22, 'trace_an': 0}
  • id: 25868369
    {'hecke_orbit_code': 4509303377495056, 'n': 23, 'trace_an': 0}
  • id: 25868370
    {'hecke_orbit_code': 4509303377495056, 'n': 24, 'trace_an': 0}
  • id: 25868371
    {'hecke_orbit_code': 4509303377495056, 'n': 25, 'trace_an': 0}
  • id: 25868372
    {'hecke_orbit_code': 4509303377495056, 'n': 26, 'trace_an': 0}
  • id: 25868373
    {'hecke_orbit_code': 4509303377495056, 'n': 27, 'trace_an': 0}
  • id: 25868374
    {'hecke_orbit_code': 4509303377495056, 'n': 28, 'trace_an': 0}
  • id: 25868375
    {'hecke_orbit_code': 4509303377495056, 'n': 29, 'trace_an': 0}
  • id: 25868376
    {'hecke_orbit_code': 4509303377495056, 'n': 30, 'trace_an': 0}
  • id: 25868377
    {'hecke_orbit_code': 4509303377495056, 'n': 31, 'trace_an': 0}
  • id: 25868378
    {'hecke_orbit_code': 4509303377495056, 'n': 32, 'trace_an': 0}
  • id: 25868379
    {'hecke_orbit_code': 4509303377495056, 'n': 33, 'trace_an': 0}
  • id: 25868380
    {'hecke_orbit_code': 4509303377495056, 'n': 34, 'trace_an': 0}
  • id: 25868381
    {'hecke_orbit_code': 4509303377495056, 'n': 35, 'trace_an': -6}
  • id: 25868382
    {'hecke_orbit_code': 4509303377495056, 'n': 36, 'trace_an': 0}
  • id: 25868383
    {'hecke_orbit_code': 4509303377495056, 'n': 37, 'trace_an': 0}
  • id: 25868384
    {'hecke_orbit_code': 4509303377495056, 'n': 38, 'trace_an': 0}
  • id: 25868385
    {'hecke_orbit_code': 4509303377495056, 'n': 39, 'trace_an': -20}
  • id: 25868386
    {'hecke_orbit_code': 4509303377495056, 'n': 40, 'trace_an': 0}
  • id: 25868387
    {'hecke_orbit_code': 4509303377495056, 'n': 41, 'trace_an': 0}
  • id: 25868388
    {'hecke_orbit_code': 4509303377495056, 'n': 42, 'trace_an': 0}
  • id: 25868389
    {'hecke_orbit_code': 4509303377495056, 'n': 43, 'trace_an': 0}
  • id: 25868390
    {'hecke_orbit_code': 4509303377495056, 'n': 44, 'trace_an': 0}
  • id: 25868391
    {'hecke_orbit_code': 4509303377495056, 'n': 45, 'trace_an': 12}
  • id: 25868392
    {'hecke_orbit_code': 4509303377495056, 'n': 46, 'trace_an': 0}
  • id: 25868393
    {'hecke_orbit_code': 4509303377495056, 'n': 47, 'trace_an': 0}
  • id: 25868394
    {'hecke_orbit_code': 4509303377495056, 'n': 48, 'trace_an': 0}
  • id: 25868395
    {'hecke_orbit_code': 4509303377495056, 'n': 49, 'trace_an': 16}
  • id: 25868396
    {'hecke_orbit_code': 4509303377495056, 'n': 50, 'trace_an': 0}
  • id: 25868397
    {'hecke_orbit_code': 4509303377495056, 'n': 51, 'trace_an': 0}
  • id: 25868398
    {'hecke_orbit_code': 4509303377495056, 'n': 52, 'trace_an': 0}
  • id: 25868399
    {'hecke_orbit_code': 4509303377495056, 'n': 53, 'trace_an': 0}
  • id: 25868400
    {'hecke_orbit_code': 4509303377495056, 'n': 54, 'trace_an': 0}
  • id: 25868401
    {'hecke_orbit_code': 4509303377495056, 'n': 55, 'trace_an': 14}
  • id: 25868402
    {'hecke_orbit_code': 4509303377495056, 'n': 56, 'trace_an': 0}
  • id: 25868403
    {'hecke_orbit_code': 4509303377495056, 'n': 57, 'trace_an': 0}
  • id: 25868404
    {'hecke_orbit_code': 4509303377495056, 'n': 58, 'trace_an': 0}
  • id: 25868405
    {'hecke_orbit_code': 4509303377495056, 'n': 59, 'trace_an': 60}
  • id: 25868406
    {'hecke_orbit_code': 4509303377495056, 'n': 60, 'trace_an': 0}
  • id: 25868407
    {'hecke_orbit_code': 4509303377495056, 'n': 61, 'trace_an': 24}
  • id: 25868408
    {'hecke_orbit_code': 4509303377495056, 'n': 62, 'trace_an': 0}
  • id: 25868409
    {'hecke_orbit_code': 4509303377495056, 'n': 63, 'trace_an': 0}
  • id: 25868410
    {'hecke_orbit_code': 4509303377495056, 'n': 64, 'trace_an': 0}
  • id: 25868411
    {'hecke_orbit_code': 4509303377495056, 'n': 65, 'trace_an': -24}
  • id: 25868412
    {'hecke_orbit_code': 4509303377495056, 'n': 66, 'trace_an': 0}
  • id: 25868413
    {'hecke_orbit_code': 4509303377495056, 'n': 67, 'trace_an': 0}
  • id: 25868414
    {'hecke_orbit_code': 4509303377495056, 'n': 68, 'trace_an': 0}
  • id: 25868415
    {'hecke_orbit_code': 4509303377495056, 'n': 69, 'trace_an': 0}
  • id: 25868416
    {'hecke_orbit_code': 4509303377495056, 'n': 70, 'trace_an': 0}
  • id: 25868417
    {'hecke_orbit_code': 4509303377495056, 'n': 71, 'trace_an': -12}
  • id: 25868418
    {'hecke_orbit_code': 4509303377495056, 'n': 72, 'trace_an': 0}
  • id: 25868419
    {'hecke_orbit_code': 4509303377495056, 'n': 73, 'trace_an': 0}
  • id: 25868420
    {'hecke_orbit_code': 4509303377495056, 'n': 74, 'trace_an': 0}
  • id: 25868421
    {'hecke_orbit_code': 4509303377495056, 'n': 75, 'trace_an': 8}
  • id: 25868422
    {'hecke_orbit_code': 4509303377495056, 'n': 76, 'trace_an': 0}
  • id: 25868423
    {'hecke_orbit_code': 4509303377495056, 'n': 77, 'trace_an': 0}
  • id: 25868424
    {'hecke_orbit_code': 4509303377495056, 'n': 78, 'trace_an': 0}
  • id: 25868425
    {'hecke_orbit_code': 4509303377495056, 'n': 79, 'trace_an': -48}
  • id: 25868426
    {'hecke_orbit_code': 4509303377495056, 'n': 80, 'trace_an': 0}
  • id: 25868427
    {'hecke_orbit_code': 4509303377495056, 'n': 81, 'trace_an': -4}
  • id: 25868428
    {'hecke_orbit_code': 4509303377495056, 'n': 82, 'trace_an': 0}
  • id: 25868429
    {'hecke_orbit_code': 4509303377495056, 'n': 83, 'trace_an': 0}
  • id: 25868430
    {'hecke_orbit_code': 4509303377495056, 'n': 84, 'trace_an': 0}
  • id: 25868431
    {'hecke_orbit_code': 4509303377495056, 'n': 85, 'trace_an': 42}
  • id: 25868432
    {'hecke_orbit_code': 4509303377495056, 'n': 86, 'trace_an': 0}
  • id: 25868433
    {'hecke_orbit_code': 4509303377495056, 'n': 87, 'trace_an': 0}
  • id: 25868434
    {'hecke_orbit_code': 4509303377495056, 'n': 88, 'trace_an': 0}
  • id: 25868435
    {'hecke_orbit_code': 4509303377495056, 'n': 89, 'trace_an': 48}
  • id: 25868436
    {'hecke_orbit_code': 4509303377495056, 'n': 90, 'trace_an': 0}
  • id: 25868437
    {'hecke_orbit_code': 4509303377495056, 'n': 91, 'trace_an': 12}
  • id: 25868438
    {'hecke_orbit_code': 4509303377495056, 'n': 92, 'trace_an': 0}
  • id: 25868439
    {'hecke_orbit_code': 4509303377495056, 'n': 93, 'trace_an': 0}
  • id: 25868440
    {'hecke_orbit_code': 4509303377495056, 'n': 94, 'trace_an': 0}
  • id: 25868441
    {'hecke_orbit_code': 4509303377495056, 'n': 95, 'trace_an': 6}
  • id: 25868442
    {'hecke_orbit_code': 4509303377495056, 'n': 96, 'trace_an': 0}
  • id: 25868443
    {'hecke_orbit_code': 4509303377495056, 'n': 97, 'trace_an': 0}
  • id: 25868444
    {'hecke_orbit_code': 4509303377495056, 'n': 98, 'trace_an': 0}
  • id: 25868445
    {'hecke_orbit_code': 4509303377495056, 'n': 99, 'trace_an': 0}
  • id: 25868446
    {'hecke_orbit_code': 4509303377495056, 'n': 100, 'trace_an': 0}