Newform data - 6400.2.a.ba

Formats: - HTML - YAML - JSON - 2026-08-17T17:59:22.242071

• 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': 25600, 'analytic_conductor': 51.10425729361945, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [5, 1]], 'atkin_lehner_string': '++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [6400, 1, [4351, 4101, 5377], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 12, 'field_disc_factorization': [[2, 2], [3, 1]], 'field_poly': [-3, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 12, 'fricke_eigenval': 1, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [1, 1]], [7, [-12, 0, 1]], [11, [3, 1]], [13, [-12, 0, 1]], [17, [-3, 1]], [29, [-108, 0, 1]], [31, [-48, 0, 1]]], 'hecke_orbit': 27, 'hecke_orbit_code': 117093590345193728, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 4, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '6400.2.a.ba', 'level': 6400, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'minimal_twist': '1600.2.d.e', 'nf_label': '2.2.12.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{3}-\\beta q^{7}-2q^{9}-3q^{11}+\\beta q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '6400.2.a', 'trace_display': [0, -2, 0, 0], 'trace_hash': 984265648828175478, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.911', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '15.132', 'prec': 17}, 0, {'__RealLiteral__': 0, 'data': '151.243', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.509', 'prec': 10}, 'traces': [2, 0, -2, 0, 0, 0, 0, 0, -4, 0, -6, 0, 0, 0, 0, 0, 6, 0, 2, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 18, 0, -8, 0, 0, 0, 0, 0, 10, 0, -6, 0, 0, 0, 0, 0, -2, 0, 24, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 0, 0, 2, 0, -30, 0, 0, 0, 0, 0, 6, 0, -24, 0, 0, 0, 0, 0, 28, 0, 12, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, 0, 0, -4, 0, -18, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -18, 0, 10, 0, 0, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -38, 0, 0, 0, 0, 0, -2, 0, -4, 0, 0, 0, 0, 0, -24, 0, -6, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 22, 0, -72, 0, 0, 0, 0, 0, -6, 0, -50, 0, 0, 0, 0, 0, 48, 0, 14, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 10, 0, -32, 0, 0, 0, 0, 0, 30, 0, -18, 0, 0, 0, 0, 0, -12, 0, 72, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -36, 0, -22, 0, 0, 0, 0, 0, -16, 0, -28, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 18, 0, 6, 0, 0, 0, 0, 0, -72, 0, -38, 0, 0, 0, 0, 0, -14, 0, 30, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -36, 0, 4, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 72, 0, 38, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, -48, 0, 0, 0, 0, 0, 50, 0, 18, 0, 0, 0, 0, 0, -10, 0, 42, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, -20, 0, -78, 0, 0, 0, 0, 0, 18, 0, -54, 0, 0, 0, 0, 0, -74, 0, 30, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 38, 0, -24, 0, 0, 0, 0, 0, -72, 0, -32, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 42, 0, -2, 0, 0, 0, 0, 0, -46, 0, -48, 0, 0, 0, 0, 0, 6, 0, -30, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 18, 0, -24, 0, 0, 0, 0, 0, -6, 0, 40, 0, 0, 0, 0, 0, 34, 0, -14, 0, 0, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, -82, 0, 44, 0, 0, 0, 0, 0, 72, 0, 72, 0, 0, 0, 0, 0, -60, 0, -8, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 50, 0, 0, 0, 0, 0, 0, 0, -60, 0, -8, 0, 0, 0, 0, 0, -72, 0, -48, 0, 0, 0, 0, 0, 28, 0, -66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 24, 0, -18, 0, 0, 0, 0, 0, 0, 0, 74, 0, 0, 0, 0, 0, 54, 0, -12, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, -10, 0, 0, 0, 0, 0, 26, 0, -24, 0, 0, 0, 0, 0, 66, 0, 40, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, -6, 0, 24, 0, 0, 0, 0, 0, -14, 0, 12, 0, 0, 0, 0, 0, -72, 0, 18, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -12, 0, 42, 0, 0, 0, 0, 0, -60, 0, 56, 0, 0, 0, 0, 0, -8, 0, 48, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, 158, 0, 36, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 78, 0, 26, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, -36, 0, 70, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 0, 0, -38, 0, 72, 0, 0, 0, 0, 0, 36, 0, 10, 0, 0, 0, 0, 0, -70, 0, -44, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 78, 0, 0, 0, 0, 0, 0, 0, 34, 0, 36, 0, 0, 0, 0, 0, -6, 0, 114, 0, 0, 0, 0, 0, 54, 0, -18, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 38, 0, 0, 0, 0, 0, 0, 0, 72, 0, 72, 0, 0, 0, 0, 0, 2, 0, 14, 0, 0, 0, 0, 0, 60, 0, -18, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -46, 0, 0, 0, 0, 0, 0, 0, 66, 0, 72, 0, 0, 0, 0, 0, 102, 0, -98, 0, 0, 0, 0, 0, 24, 0, 12, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 8, 0, 90, 0, 0, 0, 0, 0, -54, 0, -48, 0, 0, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, -10, 0, 0, 0, 0, 0, -86, 0, -72, 0, 0, 0, 0, 0, -38, 0, -66, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -70, 0, 0, 0, 0, 0, 0, 0, -40, 0, 18, 0, 0, 0, 0, 0, -72, 0, -2, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, -10, 0, 6, 0, 0, 0, 0, 0, 48, 0, 144, 0, 0, 0, 0, 0, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, -50, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, -42, 0, 90, 0, 0, 0, 0, 0, 38, 0, -20, 0, 0, 0, 0, 0, -42, 0, -48, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, 0, 0, -24, 0, 48, 0, 0, 0, 0, 0, 12, 0, 104, 0, 0, 0, 0, 0, -124, 0, 2, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 2, 0, 50, 0, 0, 0, 0, 0, 78, 0, 78, 0, 0, 0, 0, 0, 144, 0, -72, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 18, 0, 216, 0, 0, 0, 0, 0, 142, 0, 74, 0, 0, 0, 0, 0, 6, 0, -144, 0, 0, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -30, 0, -90, 0, 0, 0, 0, 0, -24, 0, -24, 0, 0, 0, 0, 0, 0, 0, -90, 0, 0, 0, 0, 0, -78, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 78, 0, 0, 0, 0, 0, -144, 0, 86, 0, 0, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 54, 0, 88, 0, 0, 0, 0, 0, -118, 0, 72, 0, 0, 0, 0, 0, 32, 0, -138, 0, 0, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 4, 0, -18, 0, 0, 0, 0, 0, -30, 0, -2, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 0, 0, -96, 0, -42, 0, 0, 0, 0, 0, 2, 0, 120, 0, 0, 0, 0, 0, -30, 0, 22, 0, 0, 0, 0, 0, 0, 0, 46, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 54, 0, 48, 0, 0, 0, 0, 0, -98, 0, 12, 0, 0, 0, 0, 0, 30, 0, 54, 0, 0, 0, 0, 0, 0, 0, -70, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 94, 0, 72, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 80, 0, 36, 0, 0, 0, 0, 0, 24, 0, 6, 0, 0, 0, 0, 0, -42, 0, -110, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, -132, 0, 46, 0, 0, 0, 0, 0, -24, 0, -34, 0, 0, 0, 0, 0, -28, 0, -216, 0, 0, 0, 0, 0, 0, 0, 50, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 30, 0, -72, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 68, 0, 6, 0, 0, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, 114, 0, 0, 0, 0, 0, 0, 0, 20, 0, 82, 0, 0, 0, 0, 0, -110, 0, 42, 0, 0, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, -144, 0, 28, 0, 0, 0, 0, 0, -54, 0, 60, 0, 0, 0, 0, 0, 8, 0, 6, 0, 0, 0, 0, 0, 0, 0, 130, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -84, 0, 48, 0, 0, 0, 0, 0, -144, 0, 100, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 0, 0, -90, 0, 60, 0, 0, 0, 0, 0, 8, 0, 30, 0, 0, 0, 0, 0, -72, 0, -120, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 18, 0, -70, 0, 0, 0, 0, 0, 66, 0, -72, 0, 0, 0, 0, 0, 0, 0, 34, 0, 0, 0, 0, 0, 62, 0, 0, 0, 0, 0, 0, 0, 0, 0, 78, 0, 0, 0, 0, 0, 90, 0, -82, 0, 0, 0, 0, 0, -34, 0, 20, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 48, 0, 48, 0, 0, 0, 0, 0, 18, 0, -72, 0, 0, 0, 0, 0, -12, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -74, 0, 0, 0, 0, 0, 0, 0, -30, 0, -32, 0, 0, 0, 0, 0, 124, 0, -54, 0, 0, 0, 0, 0, -24, 0, 42, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 82, 0, 0, 0, 0, 0, 0, 0, 72, 0, -42, 0, 0, 0, 0, 0, 102, 0, -56, 0, 0, 0, 0, 0, -58, 0, 0, 0, 0, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 0, 0, -76, 0, -72, 0, 0, 0, 0, 0, -20, 0, 72, 0, 0, 0, 0, 0, 72, 0, -34, 0, 0, 0, 0, 0, 0, 0, 70, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -144, 0, -8, 0, 0, 0, 0, 0, 122, 0, -66, 0, 0, 0, 0, 0, -40, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, -150, 0, -114, 0, 0, 0, 0, 0, -144, 0, -110, 0, 0, 0, 0, 0, 72, 0, 36, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -58, 0, 6, 0, 0, 0, 0, 0, -24, 0, 216, 0, 0, 0, 0, 0, -186, 0, -4, 0, 0, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 150, 0, 0, 0, 0, 0, 0, 0, -54, 0, -144, 0, 0, 0, 0, 0, -18, 0, -24, 0, 0, 0, 0, 0, 0, 0, -46, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 32, 0, 30, 0, 0, 0, 0, 0, 0, 0, 86, 0, 0, 0, 0, 0, 76, 0, 24, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -150, 0, 0, 0, 0, 0, 0, 0, -118, 0, 30, 0, 0, 0, 0, 0, -42, 0, 66, 0, 0, 0, 0, 0, 36, 0, 216, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 6, 0, 72, 0, 0, 0, 0, 0, -144, 0, 8, 0, 0, 0, 0, 0, -120, 0, -48, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, -134, 0, 0, 0, 0, 0, 0, 0, 6, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, -30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -70, 0, -158, 0, 0, 0, 0, 0, 72, 0, -72, 0, 0, 0, 0, 0, -96, 0, -70, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, -36, 0, 0, 0, 0, 0, 48, 0, -78, 0, 0, 0, 0, 0, -26, 0, -126, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -70, 0, 0, 0, 0, 0, 0, 0, 32, 0, -18, 0, 0, 0, 0, 0, 42, 0, -96, 0, 0, 0, 0, 0, 188, 0, 140, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 150, 0, 0, 0, 0, 0, 0, 0, 10, 0, 36, 0, 0, 0, 0, 0, -70, 0, -30, 0, 0, 0, 0, 0, 18, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 216, 0, -184, 0, 0, 0, 0, 0, 190, 0, 0, 0, 0, 0, 0, 0, 144, 0, -18, 0, 0, 0, 0, 0, 0, 0, -62, 0, 0, 0, 0, 0, -50, 0, 0, 0, 0, 0, 0, 0, -88, 0, -144, 0, 0, 0, 0, 0, 90, 0, -166, 0, 0, 0, 0, 0, 0, 0, -90, 0, 0, 0, 0, 0, 0, 0, -198, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 54, 0, -76, 0, 0, 0, 0, 0, -72, 0, -114, 0, 0, 0, 0, 0, 30, 0, 192, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 0, 0, -60, 0, -104, 0, 0, 0, 0, 0, -106, 0, 70, 0, 0, 0, 0, 0, -88, 0, 30, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 154, 0, 0, 0, 0, 0, 0, 0, 24, 0, -78, 0, 0, 0, 0, 0, -216, 0, -64, 0, 0, 0, 0, 0, -86, 0, -78, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 88, 0, -34, 0, 0, 0, 0, 0, -90, 0, 120, 0, 0, 0, 0, 0, 126, 0, 96, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -114, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 216, 0, -54, 0, 0, 0, 0, 0, 18, 0, -138, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 144, 0, -168, 0, 0, 0, 0, 0, 174, 0, 2, 0, 0, 0, 0, 0, -48, 0, 76, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 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], [-1, 0], [0, 0], [0, 0], [0, 0], [0, -1], [0, 0], [-2, 0], [0, 0], [-3, 0], [0, 0], [0, 1], [0, 0], [0, 0], [0, 0], [3, 0], [0, 0], [1, 0], [0, 0], [0, 1], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [5, 0], [0, 0], [0, 3], [0, 0], [0, -2], [0, 0], [3, 0], [0, 0], [0, 0], [0, 0], [0, -3], [0, 0], [0, -1], [0, 0], [9, 0], [0, 0], [-4, 0], [0, 0], [0, 0], [0, 0], [0, 3], [0, 0], [5, 0], [0, 0], [-3, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [-1, 0], [0, 0], [12, 0], [0, 0], [0, -1], [0, 0], [0, 2], [0, 0], [0, 0], [0, 0], [-11, 0], [0, 0], [0, 0], [0, 0], [0, 3], [0, 0], [-7, 0], [0, 0], [0, 0], [0, 0], [0, 3], [0, 0], [0, 3], [0, 0], [1, 0], [0, 0], [-15, 0], [0, 0], [0, 0], [0, 0], [0, -3], [0, 0], [3, 0], [0, 0], [-12, 0], [0, 0], [0, 2], [0, 0], [0, 0], [0, 0], [14, 0], [0, 0], [6, 0], [0, 0]], 'ap': [[0, 0], [-1, 0], [0, 0], [0, -1], [-3, 0], [0, 1], [3, 0], [1, 0], [0, 0], [0, 3], [0, -2], [0, -3], [9, 0], [-4, 0], [0, 3], [0, 0], [12, 0], [0, -1], [-11, 0], [0, 3], [-7, 0], [0, 3], [-15, 0], [3, 0], [14, 0], [0, 3], [0, -3], [-9, 0], [0, -1], [-15, 0], [0, 0], [0, 0], [-9, 0], [5, 0], [0, -3], [0, -1], [0, 2], [-19, 0], [0, 3], [0, -6], [-3, 0], [0, -4], [0, -6], [7, 0], [0, 6], [0, 4], [-25, 0], [0, 4], [-12, 0], [0, -2], [6, 0], [0, -3], [5, 0], [-9, 0], [-6, 0], [0, 6], [0, 0], [0, 6], [0, 5], [-18, 0], [-11, 0], [0, 3], [19, 0], [0, -3], [22, 0], [0, -6], [-19, 0], [-7, 0], [-33, 0], [0, -3], [-6, 0], [0, -3], [0, -2], [0, 4], [19, 0], [0, -9], [0, 6], [0, -8], [-3, 0], [25, 0], [21, 0], [0, -6], [0, -3], [-1, 0], [0, 5], [-39, 0], [9, 0], [-37, 0], [0, 6], [0, 6], [-12, 0], [0, 12], [0, 4], [-12, 0], [-16, 0], [0, 0], [0, 6], [21, 0], [-1, 0], [0, -2], [-1, 0], [0, 3], [-12, 0], [-3, 0], [20, 0], [17, 0], [-15, 0], [-3, 0], [0, -9], [-41, 0], [0, 6], [0, -6], [-30, 0], [-4, 0], [0, 4], [-30, 0], [-4, 0], [0, -12], [0, -9], [-33, 0], [0, -3], [-10, 0], [0, 6], [-9, 0], [37, 0], [0, -9], [0, -10], [0, 3], [0, -13], [0, 9], [20, 0], [0, 12], [0, -15], [0, -2], [-3, 0], [-7, 0], [0, -3], [-16, 0], [0, 6], [-30, 0], [28, 0], [0, 0], [0, -10], [-3, 0], [0, 3], [0, 12], [0, -16], [39, 0], [13, 0], [0, -3], [0, 14], [-18, 0], [35, 0], [0, 0], [44, 0], [0, -6], [0, 8], [18, 0], [-35, 0], [0, -15], [-12, 0], [39, 0], [0, -6], [57, 0], [27, 0], [0, 3], [0, 7], [0, 0], [1, 0], [0, 3], [-9, 0], [0, 7], [0, 15], [-23, 0], [0, -1], [51, 0], [-49, 0], [0, -3], [0, -14], [0, -14], [0, 2], [45, 0], [0, 7], [-27, 0], [0, -3], [0, 0], [0, -13], [-5, 0], [-43, 0], [0, 9], [-35, 0], [9, 0], [-1, 0], [0, -12], [15, 0], [-30, 0], [-5, 0], [0, -12], [57, 0], [0, 15], [0, 6], [0, 6], [0, -6], [19, 0], [-24, 0], [0, -12], [0, -2], [24, 0], [6, 0], [52, 0], [-62, 0], [0, -15], [0, 7], [-33, 0], [0, 18], [1, 0], [0, 2], [9, 0], [0, 9], [0, 3], [0, 4], [0, 7], [-15, 0], [0, -9], [-45, 0], [0, -7], [-39, 0], [0, -15], [0, 11], [39, 0], [0, 5], [43, 0], [0, -11], [27, 0], [44, 0], [0, -3], [-59, 0], [0, 21], [-69, 0], [0, -18], [-9, 0], [-1, 0], [0, 4], [0, 14], [21, 0], [0, -6], [0, -11], [60, 0], [11, 0], [0, -15], [0, 0], [27, 0], [0, -3], [-49, 0], [0, 3], [27, 0], [0, -11], [-35, 0], [0, -9], [47, 0], [0, 1], [9, 0], [0, 3], [0, 7], [-21, 0], [-55, 0], [0, -6], [-66, 0], [23, 0], [0, -3], [0, -13], [25, 0], [1, 0], [0, 1], [34, 0], [0, 16], [-21, 0], [0, -22], [10, 0], [21, 0], [0, 18], [0, 18], [0, 6], [0, -20], [65, 0], [0, 12], [46, 0], [0, -9], [0, -12], [-42, 0], [0, -9], [-84, 0], [45, 0], [15, 0], [0, -14], [0, -24], [0, -19], [0, -15], [-36, 0], [17, 0], [31, 0], [0, 9], [0, 10], [39, 0], [-41, 0], [-17, 0], [36, 0], [0, 13], [0, -12], [0, 15], [0, -9], [0, 6], [-15, 0], [-16, 0], [0, -6], [62, 0], [21, 0], [0, 6], [41, 0], [51, 0], [-28, 0], [-29, 0], [0, -15], [0, -10], [-90, 0], [-38, 0], [-17, 0], [-4, 0], [0, -3], [0, -3], [0, -7], [0, 9], [0, -7], [-57, 0], [-55, 0], [-36, 0], [0, 7], [-6, 0], [-29, 0], [0, -9], [0, -8], [-93, 0], [0, 12], [0, 1], [0, 12], [-12, 0], [0, 17], [-23, 0], [0, 9], [0, -9], [43, 0], [38, 0], [0, -9], [0, 5], [0, -8], [-75, 0], [0, -9], [33, 0], [18, 0], [0, -6], [0, -1], [3, 0], [0, 21], [-24, 0], [-11, 0], [-67, 0], [0, 15], [0, -6], [-35, 0], [-36, 0], [-35, 0], [0, 12], [0, -6], [0, 6], [0, -25], [-63, 0], [0, -21], [-35, 0], [21, 0], [94, 0], [0, 18], [75, 0], [0, 15], [9, 0], [40, 0], [0, 9], [0, -14], [0, -24], [-92, 0], [0, 24], [95, 0], [0, 6], [-9, 0], [-31, 0], [0, 12], [-25, 0], [0, -22], [45, 0], [-83, 0], [0, -6], [0, 27], [63, 0], [0, -7], [15, 0], [0, 18], [0, 9], [0, 10], [-30, 0], [-52, 0], [15, 0], [77, 0], [0, 12], [-39, 0], [-32, 0], [-43, 0], [0, 9], [0, 18], [0, 10], [63, 0], [0, -3], [0, 3], [0, 17], [0, -24], [-69, 0], [7, 0], [0, 3], [-84, 0], [87, 0], [1, 0], [0, 6]], 'char_orbit_index': 1, 'field_poly': [-3, 0, 1], 'hecke_orbit_code': 117093590345193728, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1], 'hecke_ring_inverse_denominators': [1, 2], 'hecke_ring_inverse_numerators': [[1, 0], [0, 1]], 'hecke_ring_numerators': [[1, 0], [0, 2]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '6400.2.a.ba', 'level': 6400, 'maxp': 2999, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [34, 40, 36, 36], 'ALdims_eis_new': [2, 4, 2, 4], 'ALdims_eis_old': [33, 32, 34, 32], 'ALdims_old': [183, 184, 192, 184], 'Nk2': 25600, 'analytic_conductor': 51.10425729361945, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [6400, 1, [4351, 4101, 5377], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 889, 'dim': 146, 'eis_dim': 143, 'eis_new_dim': 12, 'hecke_cutter_primes': [3, 7, 11, 13, 17, 29, 31], 'hecke_orbit_code': 33560832, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], 'label': '6400.2.a', 'level': 6400, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'mf_dim': 1032, 'mf_new_dim': 158, 'num_forms': 74, 'plus_dim': 70, 'prim_orbit_index': 1, 'relative_dim': 146, 'sturm_bound': 1920, 'trace_bound': 31, 'trace_display': [0, 0, 0, 0], 'traces': [146, 0, 0, 0, 0, 0, 0, 0, 130, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 82, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 74, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 130, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 38, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, -26, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, -164, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -188, 0, 0, 0, 0, 0, 0, 0, -62, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, -196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, -116, 0, 0, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, -204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 148, 0, 0, 0, 0, 0, 0, 0, -260, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 148, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -284, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 202, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, -220, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 420, 0, 0, 0, 0, 0, 0, 0, 278, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 248, 0, 0, 0, 0, 0, 0, 0, -92, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 348, 0, 0, 0, 0, 0, 0, 0, -174, 0, 0, 0, 0, 0, 0, 0, 624, 0, 0, 0, 0, 0, 0, 0, -124, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 312, 0, 0, 0, 0, 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: 1303138
    {'conductor': 80, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '6400.2.a.ba', 'source_level': 6400, 'target_char_orbit': 4, 'target_dim': 4, 'target_hecke_orbit': 5, 'target_is_minimal': True, 'target_label': '1600.2.d.e', 'target_level': 1600, 'twist_class_label': '1600.2.d.e', 'twist_class_level': 1600, 'twisting_char_label': '80.k', 'twisting_char_orbit': 11, 'weight': 2}
  • id: 1303139
    {'conductor': 80, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '6400.2.a.ba', 'source_level': 6400, 'target_char_orbit': 4, 'target_dim': 4, 'target_hecke_orbit': 5, 'target_is_minimal': True, 'target_label': '1600.2.d.e', 'target_level': 1600, 'twist_class_label': '1600.2.d.e', 'twist_class_level': 1600, 'twisting_char_label': '80.q', 'twisting_char_orbit': 17, 'weight': 2}
  • id: 1303140
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '6400.2.a.ba', 'source_level': 6400, 'target_char_orbit': 4, 'target_dim': 4, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '1600.2.d.f', 'target_level': 1600, 'twist_class_label': '1600.2.d.e', 'twist_class_level': 1600, 'twisting_char_label': '16.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1303141
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '6400.2.a.ba', 'source_level': 6400, 'target_char_orbit': 4, 'target_dim': 4, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '1600.2.d.f', 'target_level': 1600, 'twist_class_label': '1600.2.d.e', 'twist_class_level': 1600, 'twisting_char_label': '16.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1303142
    {'conductor': 80, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '6400.2.a.ba', 'source_level': 6400, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '1600.2.f.c', 'target_level': 1600, 'twist_class_label': '1600.2.d.e', 'twist_class_level': 1600, 'twisting_char_label': '80.s', 'twisting_char_orbit': 19, 'weight': 2}
  • id: 1303143
    {'conductor': 80, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '6400.2.a.ba', 'source_level': 6400, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '1600.2.f.c', 'target_level': 1600, 'twist_class_label': '1600.2.d.e', 'twist_class_level': 1600, 'twisting_char_label': '80.t', 'twisting_char_orbit': 20, 'weight': 2}
  • id: 1303144
    {'conductor': 80, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '6400.2.a.ba', 'source_level': 6400, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '1600.2.f.g', 'target_level': 1600, 'twist_class_label': '1600.2.d.e', 'twist_class_level': 1600, 'twisting_char_label': '80.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 1303145
    {'conductor': 80, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '6400.2.a.ba', 'source_level': 6400, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '1600.2.f.g', 'target_level': 1600, 'twist_class_label': '1600.2.d.e', 'twist_class_level': 1600, 'twisting_char_label': '80.j', 'twisting_char_orbit': 10, 'weight': 2}
  • id: 1303146
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '6400.2.a.ba', 'source_level': 6400, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 27, 'target_is_minimal': False, 'target_label': '6400.2.a.ba', 'target_level': 6400, 'twist_class_label': '1600.2.d.e', 'twist_class_level': 1600, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1303147
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '6400.2.a.ba', 'source_level': 6400, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 27, 'target_is_minimal': False, 'target_label': '6400.2.a.ba', 'target_level': 6400, 'twist_class_label': '1600.2.d.e', 'twist_class_level': 1600, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1303148
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '6400.2.a.ba', 'source_level': 6400, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 28, 'target_is_minimal': False, 'target_label': '6400.2.a.bb', 'target_level': 6400, 'twist_class_label': '1600.2.d.e', 'twist_class_level': 1600, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1303149
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '6400.2.a.ba', 'source_level': 6400, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 28, 'target_is_minimal': False, 'target_label': '6400.2.a.bb', 'target_level': 6400, 'twist_class_label': '1600.2.d.e', 'twist_class_level': 1600, 'twisting_char_label': '40.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1303150
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '6400.2.a.ba', 'source_level': 6400, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 58, 'target_is_minimal': False, 'target_label': '6400.2.a.cf', 'target_level': 6400, 'twist_class_label': '1600.2.d.e', 'twist_class_level': 1600, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1303151
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '6400.2.a.ba', 'source_level': 6400, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 58, 'target_is_minimal': False, 'target_label': '6400.2.a.cf', 'target_level': 6400, 'twist_class_label': '1600.2.d.e', 'twist_class_level': 1600, 'twisting_char_label': '40.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1303152
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '6400.2.a.ba', 'source_level': 6400, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 59, 'target_is_minimal': False, 'target_label': '6400.2.a.cg', 'target_level': 6400, 'twist_class_label': '1600.2.d.e', 'twist_class_level': 1600, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1303153
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 27, 'source_is_minimal': False, 'source_label': '6400.2.a.ba', 'source_level': 6400, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 59, 'target_is_minimal': False, 'target_label': '6400.2.a.cg', 'target_level': 6400, 'twist_class_label': '1600.2.d.e', 'twist_class_level': 1600, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4176625
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 117093590345193728, 'p': 2}
  • id: 4176626
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 117093590345193728, 'p': 3}
  • id: 4176627
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 117093590345193728, 'p': 5}
  • id: 4176628
    {'charpoly_factorization': [[[-12, 0, 1], 1]], 'hecke_orbit_code': 117093590345193728, 'p': 7}
  • id: 4176629
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 117093590345193728, 'p': 11}
  • id: 4176630
    {'charpoly_factorization': [[[-12, 0, 1], 1]], 'hecke_orbit_code': 117093590345193728, 'p': 13}
  • id: 4176631
    {'charpoly_factorization': [[[-3, 1], 2]], 'hecke_orbit_code': 117093590345193728, 'p': 17}
  • id: 4176632
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 117093590345193728, 'p': 19}
  • id: 4176633
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 117093590345193728, 'p': 23}
  • id: 4176634
    {'charpoly_factorization': [[[-108, 0, 1], 1]], 'hecke_orbit_code': 117093590345193728, 'p': 29}
  • id: 4176635
    {'charpoly_factorization': [[[-48, 0, 1], 1]], 'hecke_orbit_code': 117093590345193728, 'p': 31}
  • id: 4176636
    {'charpoly_factorization': [[[-108, 0, 1], 1]], 'hecke_orbit_code': 117093590345193728, 'p': 37}
  • id: 4176637
    {'charpoly_factorization': [[[-9, 1], 2]], 'hecke_orbit_code': 117093590345193728, 'p': 41}
  • id: 4176638
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 117093590345193728, 'p': 43}
  • id: 4176639
    {'charpoly_factorization': [[[-108, 0, 1], 1]], 'hecke_orbit_code': 117093590345193728, 'p': 47}
  • id: 4176640
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 117093590345193728, 'p': 53}
  • id: 4176641
    {'charpoly_factorization': [[[-12, 1], 2]], 'hecke_orbit_code': 117093590345193728, 'p': 59}
  • id: 4176642
    {'charpoly_factorization': [[[-12, 0, 1], 1]], 'hecke_orbit_code': 117093590345193728, 'p': 61}
  • id: 4176643
    {'charpoly_factorization': [[[11, 1], 2]], 'hecke_orbit_code': 117093590345193728, 'p': 67}
  • id: 4176644
    {'charpoly_factorization': [[[-108, 0, 1], 1]], 'hecke_orbit_code': 117093590345193728, 'p': 71}
  • id: 4176645
    {'charpoly_factorization': [[[7, 1], 2]], 'hecke_orbit_code': 117093590345193728, 'p': 73}
  • id: 4176646
    {'charpoly_factorization': [[[-108, 0, 1], 1]], 'hecke_orbit_code': 117093590345193728, 'p': 79}
  • id: 4176647
    {'charpoly_factorization': [[[15, 1], 2]], 'hecke_orbit_code': 117093590345193728, 'p': 83}
  • id: 4176648
    {'charpoly_factorization': [[[-3, 1], 2]], 'hecke_orbit_code': 117093590345193728, 'p': 89}
  • id: 4176649
    {'charpoly_factorization': [[[-14, 1], 2]], 'hecke_orbit_code': 117093590345193728, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 27, 'label': '6400.2.a.ba', 'level': 6400, '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: 67276057
    {'hecke_orbit_code': 117093590345193728, 'n': 1, 'trace_an': 2}
  • id: 67276058
    {'hecke_orbit_code': 117093590345193728, 'n': 2, 'trace_an': 0}
  • id: 67276059
    {'hecke_orbit_code': 117093590345193728, 'n': 3, 'trace_an': -2}
  • id: 67276060
    {'hecke_orbit_code': 117093590345193728, 'n': 4, 'trace_an': 0}
  • id: 67276061
    {'hecke_orbit_code': 117093590345193728, 'n': 5, 'trace_an': 0}
  • id: 67276062
    {'hecke_orbit_code': 117093590345193728, 'n': 6, 'trace_an': 0}
  • id: 67276063
    {'hecke_orbit_code': 117093590345193728, 'n': 7, 'trace_an': 0}
  • id: 67276064
    {'hecke_orbit_code': 117093590345193728, 'n': 8, 'trace_an': 0}
  • id: 67276065
    {'hecke_orbit_code': 117093590345193728, 'n': 9, 'trace_an': -4}
  • id: 67276066
    {'hecke_orbit_code': 117093590345193728, 'n': 10, 'trace_an': 0}
  • id: 67276067
    {'hecke_orbit_code': 117093590345193728, 'n': 11, 'trace_an': -6}
  • id: 67276068
    {'hecke_orbit_code': 117093590345193728, 'n': 12, 'trace_an': 0}
  • id: 67276069
    {'hecke_orbit_code': 117093590345193728, 'n': 13, 'trace_an': 0}
  • id: 67276070
    {'hecke_orbit_code': 117093590345193728, 'n': 14, 'trace_an': 0}
  • id: 67276071
    {'hecke_orbit_code': 117093590345193728, 'n': 15, 'trace_an': 0}
  • id: 67276072
    {'hecke_orbit_code': 117093590345193728, 'n': 16, 'trace_an': 0}
  • id: 67276073
    {'hecke_orbit_code': 117093590345193728, 'n': 17, 'trace_an': 6}
  • id: 67276074
    {'hecke_orbit_code': 117093590345193728, 'n': 18, 'trace_an': 0}
  • id: 67276075
    {'hecke_orbit_code': 117093590345193728, 'n': 19, 'trace_an': 2}
  • id: 67276076
    {'hecke_orbit_code': 117093590345193728, 'n': 20, 'trace_an': 0}
  • id: 67276077
    {'hecke_orbit_code': 117093590345193728, 'n': 21, 'trace_an': 0}
  • id: 67276078
    {'hecke_orbit_code': 117093590345193728, 'n': 22, 'trace_an': 0}
  • id: 67276079
    {'hecke_orbit_code': 117093590345193728, 'n': 23, 'trace_an': 0}
  • id: 67276080
    {'hecke_orbit_code': 117093590345193728, 'n': 24, 'trace_an': 0}
  • id: 67276081
    {'hecke_orbit_code': 117093590345193728, 'n': 25, 'trace_an': 0}
  • id: 67276082
    {'hecke_orbit_code': 117093590345193728, 'n': 26, 'trace_an': 0}
  • id: 67276083
    {'hecke_orbit_code': 117093590345193728, 'n': 27, 'trace_an': 10}
  • id: 67276084
    {'hecke_orbit_code': 117093590345193728, 'n': 28, 'trace_an': 0}
  • id: 67276085
    {'hecke_orbit_code': 117093590345193728, 'n': 29, 'trace_an': 0}
  • id: 67276086
    {'hecke_orbit_code': 117093590345193728, 'n': 30, 'trace_an': 0}
  • id: 67276087
    {'hecke_orbit_code': 117093590345193728, 'n': 31, 'trace_an': 0}
  • id: 67276088
    {'hecke_orbit_code': 117093590345193728, 'n': 32, 'trace_an': 0}
  • id: 67276089
    {'hecke_orbit_code': 117093590345193728, 'n': 33, 'trace_an': 6}
  • id: 67276090
    {'hecke_orbit_code': 117093590345193728, 'n': 34, 'trace_an': 0}
  • id: 67276091
    {'hecke_orbit_code': 117093590345193728, 'n': 35, 'trace_an': 0}
  • id: 67276092
    {'hecke_orbit_code': 117093590345193728, 'n': 36, 'trace_an': 0}
  • id: 67276093
    {'hecke_orbit_code': 117093590345193728, 'n': 37, 'trace_an': 0}
  • id: 67276094
    {'hecke_orbit_code': 117093590345193728, 'n': 38, 'trace_an': 0}
  • id: 67276095
    {'hecke_orbit_code': 117093590345193728, 'n': 39, 'trace_an': 0}
  • id: 67276096
    {'hecke_orbit_code': 117093590345193728, 'n': 40, 'trace_an': 0}
  • id: 67276097
    {'hecke_orbit_code': 117093590345193728, 'n': 41, 'trace_an': 18}
  • id: 67276098
    {'hecke_orbit_code': 117093590345193728, 'n': 42, 'trace_an': 0}
  • id: 67276099
    {'hecke_orbit_code': 117093590345193728, 'n': 43, 'trace_an': -8}
  • id: 67276100
    {'hecke_orbit_code': 117093590345193728, 'n': 44, 'trace_an': 0}
  • id: 67276101
    {'hecke_orbit_code': 117093590345193728, 'n': 45, 'trace_an': 0}
  • id: 67276102
    {'hecke_orbit_code': 117093590345193728, 'n': 46, 'trace_an': 0}
  • id: 67276103
    {'hecke_orbit_code': 117093590345193728, 'n': 47, 'trace_an': 0}
  • id: 67276104
    {'hecke_orbit_code': 117093590345193728, 'n': 48, 'trace_an': 0}
  • id: 67276105
    {'hecke_orbit_code': 117093590345193728, 'n': 49, 'trace_an': 10}
  • id: 67276106
    {'hecke_orbit_code': 117093590345193728, 'n': 50, 'trace_an': 0}
  • id: 67276107
    {'hecke_orbit_code': 117093590345193728, 'n': 51, 'trace_an': -6}
  • id: 67276108
    {'hecke_orbit_code': 117093590345193728, 'n': 52, 'trace_an': 0}
  • id: 67276109
    {'hecke_orbit_code': 117093590345193728, 'n': 53, 'trace_an': 0}
  • id: 67276110
    {'hecke_orbit_code': 117093590345193728, 'n': 54, 'trace_an': 0}
  • id: 67276111
    {'hecke_orbit_code': 117093590345193728, 'n': 55, 'trace_an': 0}
  • id: 67276112
    {'hecke_orbit_code': 117093590345193728, 'n': 56, 'trace_an': 0}
  • id: 67276113
    {'hecke_orbit_code': 117093590345193728, 'n': 57, 'trace_an': -2}
  • id: 67276114
    {'hecke_orbit_code': 117093590345193728, 'n': 58, 'trace_an': 0}
  • id: 67276115
    {'hecke_orbit_code': 117093590345193728, 'n': 59, 'trace_an': 24}
  • id: 67276116
    {'hecke_orbit_code': 117093590345193728, 'n': 60, 'trace_an': 0}
  • id: 67276117
    {'hecke_orbit_code': 117093590345193728, 'n': 61, 'trace_an': 0}
  • id: 67276118
    {'hecke_orbit_code': 117093590345193728, 'n': 62, 'trace_an': 0}
  • id: 67276119
    {'hecke_orbit_code': 117093590345193728, 'n': 63, 'trace_an': 0}
  • id: 67276120
    {'hecke_orbit_code': 117093590345193728, 'n': 64, 'trace_an': 0}
  • id: 67276121
    {'hecke_orbit_code': 117093590345193728, 'n': 65, 'trace_an': 0}
  • id: 67276122
    {'hecke_orbit_code': 117093590345193728, 'n': 66, 'trace_an': 0}
  • id: 67276123
    {'hecke_orbit_code': 117093590345193728, 'n': 67, 'trace_an': -22}
  • id: 67276124
    {'hecke_orbit_code': 117093590345193728, 'n': 68, 'trace_an': 0}
  • id: 67276125
    {'hecke_orbit_code': 117093590345193728, 'n': 69, 'trace_an': 0}
  • id: 67276126
    {'hecke_orbit_code': 117093590345193728, 'n': 70, 'trace_an': 0}
  • id: 67276127
    {'hecke_orbit_code': 117093590345193728, 'n': 71, 'trace_an': 0}
  • id: 67276128
    {'hecke_orbit_code': 117093590345193728, 'n': 72, 'trace_an': 0}
  • id: 67276129
    {'hecke_orbit_code': 117093590345193728, 'n': 73, 'trace_an': -14}
  • id: 67276130
    {'hecke_orbit_code': 117093590345193728, 'n': 74, 'trace_an': 0}
  • id: 67276131
    {'hecke_orbit_code': 117093590345193728, 'n': 75, 'trace_an': 0}
  • id: 67276132
    {'hecke_orbit_code': 117093590345193728, 'n': 76, 'trace_an': 0}
  • id: 67276133
    {'hecke_orbit_code': 117093590345193728, 'n': 77, 'trace_an': 0}
  • id: 67276134
    {'hecke_orbit_code': 117093590345193728, 'n': 78, 'trace_an': 0}
  • id: 67276135
    {'hecke_orbit_code': 117093590345193728, 'n': 79, 'trace_an': 0}
  • id: 67276136
    {'hecke_orbit_code': 117093590345193728, 'n': 80, 'trace_an': 0}
  • id: 67276137
    {'hecke_orbit_code': 117093590345193728, 'n': 81, 'trace_an': 2}
  • id: 67276138
    {'hecke_orbit_code': 117093590345193728, 'n': 82, 'trace_an': 0}
  • id: 67276139
    {'hecke_orbit_code': 117093590345193728, 'n': 83, 'trace_an': -30}
  • id: 67276140
    {'hecke_orbit_code': 117093590345193728, 'n': 84, 'trace_an': 0}
  • id: 67276141
    {'hecke_orbit_code': 117093590345193728, 'n': 85, 'trace_an': 0}
  • id: 67276142
    {'hecke_orbit_code': 117093590345193728, 'n': 86, 'trace_an': 0}
  • id: 67276143
    {'hecke_orbit_code': 117093590345193728, 'n': 87, 'trace_an': 0}
  • id: 67276144
    {'hecke_orbit_code': 117093590345193728, 'n': 88, 'trace_an': 0}
  • id: 67276145
    {'hecke_orbit_code': 117093590345193728, 'n': 89, 'trace_an': 6}
  • id: 67276146
    {'hecke_orbit_code': 117093590345193728, 'n': 90, 'trace_an': 0}
  • id: 67276147
    {'hecke_orbit_code': 117093590345193728, 'n': 91, 'trace_an': -24}
  • id: 67276148
    {'hecke_orbit_code': 117093590345193728, 'n': 92, 'trace_an': 0}
  • id: 67276149
    {'hecke_orbit_code': 117093590345193728, 'n': 93, 'trace_an': 0}
  • id: 67276150
    {'hecke_orbit_code': 117093590345193728, 'n': 94, 'trace_an': 0}
  • id: 67276151
    {'hecke_orbit_code': 117093590345193728, 'n': 95, 'trace_an': 0}
  • id: 67276152
    {'hecke_orbit_code': 117093590345193728, 'n': 96, 'trace_an': 0}
  • id: 67276153
    {'hecke_orbit_code': 117093590345193728, 'n': 97, 'trace_an': 28}
  • id: 67276154
    {'hecke_orbit_code': 117093590345193728, 'n': 98, 'trace_an': 0}
  • id: 67276155
    {'hecke_orbit_code': 117093590345193728, 'n': 99, 'trace_an': 12}
  • id: 67276156
    {'hecke_orbit_code': 117093590345193728, 'n': 100, 'trace_an': 0}