Embedded newform data - 1296.2.i.n.865.1

Formats: - HTML - YAML - JSON - 2026-01-14T12:04:54.015242

• 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': 5184, 'analytic_conductor': 10.348612101957938, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 9, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 3, 'char_parity': 1, 'char_values': [1296, 3, [1135, 325, 1217], [3, 3, 1]], 'cm_discs': [], 'conrey_index': 433, 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [9, -3, 1]], [7, [16, 4, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58547344945186064, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 9, 3, 1, 3, 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': '1296.2.i.n', 'level': 1296, '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, 3], 'level_radical': 6, 'minimal_twist': '162.2.a.a', 'nf_label': '2.0.3.1', 'prim_orbit_index': 3, 'qexp_display': 'q+3\\zeta_{6}q^{5}+(-4+4\\zeta_{6})q^{7}+\\zeta_{6}q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1296.2.i', 'trace_display': [0, 0, 3, -4], 'trace_hash': 1150564307285013139, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.019', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.022', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '12.192', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '110.013', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.018', 'prec': 17}, 'traces': [2, 0, 0, 0, 3, 0, -4, 0, 0, 0, 0, 0, 1, 0, 0, 0, -6, 0, 8, 0, 0, 0, 0, 0, -4, 0, 0, 0, -9, 0, -4, 0, 0, 0, -24, 0, -2, 0, 0, 0, -6, 0, 8, 0, 0, 0, -12, 0, -9, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, -3, 0, -4, 0, 0, 0, 24, 0, 22, 0, 0, 0, 0, 0, -16, 0, 0, 0, -12, 0, -9, 0, 0, 0, -6, 0, -8, 0, 0, 0, 12, 0, -2, 0, 0, 0, 6, 0, -4, 0, 0, 0, -24, 0, 22, 0, 0, 0, 15, 0, 0, 0, 0, 0, 12, 0, 11, 0, 0, 0, 6, 0, 32, 0, 0, 0, -12, 0, -16, 0, 0, 0, -9, 0, 20, 0, 0, 0, 0, 0, -54, 0, 0, 0, -9, 0, 8, 0, 0, 0, 12, 0, 13, 0, 0, 0, 0, 0, -16, 0, 0, 0, 12, 0, 12, 0, 0, 0, 3, 0, -16, 0, 0, 0, -24, 0, -20, 0, 0, 0, -3, 0, 0, 0, 0, 0, 12, 0, 13, 0, 0, 0, -6, 0, 8, 0, 0, 0, -36, 0, 18, 0, 0, 0, 0, 0, 8, 0, 0, 0, 48, 0, 32, 0, 0, 0, -3, 0, 8, 0, 0, 0, -12, 0, -23, 0, 0, 0, 42, 0, -72, 0, 0, 0, 12, 0, 13, 0, 0, 0, 27, 0, 4, 0, 0, 0, 48, 0, 0, 0, 0, 0, 15, 0, 4, 0, 0, 0, 12, 0, -18, 0, 0, 0, 42, 0, 32, 0, 0, 0, 0, 0, 10, 0, 0, 0, 27, 0, -4, 0, 0, 0, 48, 0, -16, 0, 0, 0, -9, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 6, 0, -40, 0, 0, 0, 24, 0, -23, 0, 0, 0, -21, 0, 0, 0, 0, 0, -24, 0, -8, 0, 0, 0, -48, 0, 20, 0, 0, 0, 12, 0, -2, 0, 0, 0, 0, 0, 16, 0, 0, 0, 12, 0, -14, 0, 0, 0, 18, 0, 36, 0, 0, 0, 0, 0, -6, 0, 0, 0, 33, 0, 8, 0, 0, 0, 24, 0, 10, 0, 0, 0, -18, 0, 56, 0, 0, 0, -12, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, -96, 0, -50, 0, 0, 0, 3, 0, 4, 0, 0, 0, 0, 0, 25, 0, 0, 0, 0, 0, -72, 0, 0, 0, -24, 0, 13, 0, 0, 0, 12, 0, 4, 0, 0, 0, 24, 0, 22, 0, 0, 0, 0, 0, -28, 0, 0, 0, -12, 0, -9, 0, 0, 0, -36, 0, 0, 0, 0, 0, -12, 0, 1, 0, 0, 0, -18, 0, 8, 0, 0, 0, 48, 0, 32, 0, 0, 0, 0, 0, -16, 0, 0, 0, -12, 0, -1, 0, 0, 0, -12, 0, 8, 0, 0, 0, 0, 0, 27, 0, 0, 0, -48, 0, -40, 0, 0, 0, 0, 0, 36, 0, 0, 0, 30, 0, -44, 0, 0, 0, 12, 0, 0, 0, 0, 0, 12, 0, 32, 0, 0, 0, 12, 0, 23, 0, 0, 0, 6, 0, -36, 0, 0, 0, 0, 0, -2, 0, 0, 0, 33, 0, 44, 0, 0, 0, -36, 0, -64, 0, 0, 0, -6, 0, 16, 0, 0, 0, 12, 0, -45, 0, 0, 0, 15, 0, -16, 0, 0, 0, 0, 0, -50, 0, 0, 0, -48, 0, 0, 0, 0, 0, -24, 0, -16, 0, 0, 0, 66, 0, 72, 0, 0, 0, -36, 0, -35, 0, 0, 0, -33, 0, 20, 0, 0, 0, -24, 0, 76, 0, 0, 0, 3, 0, 8, 0, 0, 0, 12, 0, 29, 0, 0, 0, 6, 0, -16, 0, 0, 0, 48, 0, 9, 0, 0, 0, -45, 0, -4, 0, 0, 0, -72, 0, 0, 0, 0, 0, -18, 0, 36, 0, 0, 0, 12, 0, -23, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -11, 0, 0, 0, 6, 0, -8, 0, 0, 0, -72, 0, -54, 0, 0, 0, -6, 0, -28, 0, 0, 0, -60, 0, 18, 0, 0, 0, -102, 0, -8, 0, 0, 0, 24, 0, -47, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -36, 0, -28, 0, 0, 0, -24, 0, -14, 0, 0, 0, 0, 0, -40, 0, 0, 0, 12, 0, 27, 0, 0, 0, 48, 0, 20, 0, 0, 0, 48, 0, 76, 0, 0, 0, 15, 0, -44, 0, 0, 0, 0, 0, 37, 0, 0, 0, -54, 0, 32, 0, 0, 0, -24, 0, 0, 0, 0, 0, -39, 0, 32, 0, 0, 0, -120, 0, 2, 0, 0, 0, 51, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, -78, 0, 32, 0, 0, 0, -24, 0, 32, 0, 0, 0, 15, 0, 44, 0, 0, 0, 96, 0, 28, 0, 0, 0, 27, 0, -36, 0, 0, 0, 24, 0, -52, 0, 0, 0, 72, 0, -88, 0, 0, 0, 0, 0, 10, 0, 0, 0, 39, 0, -52, 0, 0, 0, -48, 0, 18, 0, 0, 0, 0, 0, 4, 0, 0, 0, -12, 0, 25, 0, 0, 0, 60, 0, 8, 0, 0, 0, 24, 0, -64, 0, 0, 0, -48, 0, -36, 0, 0, 0, 72, 0, 36, 0, 0, 0, -30, 0, -16, 0, 0, 0, 24, 0, 0, 0, 0, 0, 96, 0, 32, 0, 0, 0, 12, 0, 4, 0, 0, 0, 3, 0, -36, 0, 0, 0, 0, 0, -74, 0, 0, 0, 27, 0, 0, 0, 0, 0, -12, 0, 11, 0, 0, 0, 18, 0, 72, 0, 0, 0, -36, 0, 15, 0, 0, 0, -39, 0, -4, 0, 0, 0, 72, 0, -160, 0, 0, 0, 18, 0, 0, 0, 0, 0, 48, 0, -9, 0, 0, 0, 0, 0, 104, 0, 0, 0, 12, 0, 37, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 22, 0, 0, 0, -42, 0, 108, 0, 0, 0, 36, 0, -23, 0, 0, 0, 48, 0, -32, 0, 0, 0, -12, 0, 13, 0, 0, 0, -3, 0, 8, 0, 0, 0, 72, 0, 0, 0, 0, 0, -54, 0, 8, 0, 0, 0, -24, 0, 32, 0, 0, 0, -54, 0, -64, 0, 0, 0, 0, 0, 1, 0, 0, 0, 9, 0, 32, 0, 0, 0, -24, 0, 0, 0, 0, 0, 48, 0, 32, 0, 0, 0, 12, 0, 13, 0, 0, 0, 108, 0, -104, 0, 0, 0, -48, 0, 9, 0, 0, 0, 51, 0, 0, 0, 0, 0, 48, 0, -122, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -26, 0, 0, 0, 0, 0, -72, 0, 0, 0, 12, 0, 32, 0, 0, 0, 69, 0, 4, 0, 0, 0, -120, 0, 46, 0, 0, 0, -3, 0, 4, 0, 0, 0, 24, 0, 63, 0, 0, 0, -96, 0, -16, 0, 0, 0, -48, 0, 0, 0, 0, 0, -21, 0, 48, 0, 0, 0, 24, 0, 108, 0, 0, 0, -54, 0, -36, 0, 0, 0, 0, 0, 1, 0, 0, 0, 78, 0, -72, 0, 0, 0, 12, 0, 34, 0, 0, 0, 15, 0, 0, 0, 0, 0, 96, 0, 72, 0, 0, 0, 15, 0, -16, 0, 0, 0, -12, 0, 10, 0, 0, 0, -66, 0, 0, 0, 0, 0, 72, 0, 1, 0, 0, 0, 48, 0, 72, 0, 0, 0, 120, 0, -4, 0, 0, 0, 0, 0, 40, 0, 0, 0, -24, 0, -16, 0, 0, 0, -60, 0, 8, 0, 0, 0, 24, 0, -45, 0, 0, 0, 42, 0, 20, 0, 0, 0, 24, 0, -92, 0, 0, 0, -9, 0, -28, 0, 0, 0, 48, 0, 0, 0, 0, 0, 12, 0, 72, 0, 0, 0, -24, 0, -26, 0, 0, 0, 24, 0, 32, 0, 0, 0, 0, 0, -64, 0, 0, 0, 48, 0, 4, 0, 0, 0, 48, 0, 63, 0, 0, 0, 96, 0, -104, 0, 0, 0, 48, 0, 0, 0, 0, 0, 3, 0, -108, 0, 0, 0, -24, 0, -72, 0, 0, 0, -9, 0, 0, 0, 0, 0, 12, 0, -35, 0, 0, 0, 60, 0, 88, 0, 0, 0, -12, 0, -16, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 162, 0, 0, 0, 3, 0, 36, 0, 0, 0, 12, 0, 11, 0, 0, 0, 162, 0, 32, 0, 0, 0, 48, 0, -11, 0, 0, 0, -6, 0, 72, 0, 0, 0, -24, 0, 0, 0, 0, 0, -24, 0, 32, 0, 0, 0, 36, 0, -11, 0, 0, 0, 96, 0, 104, 0, 0, 0, 0, 0, 27, 0, 0, 0, -15, 0, -40, 0, 0, 0, 0, 0, -64, 0, 0, 0, 3, 0, 68, 0, 0, 0, -72, 0, -35, 0, 0, 0, -108, 0, 0, 0, 0, 0, -24, 0, -64, 0, 0, 0, -96, 0, 0, 0, 0, 0, -24, 0, 18, 0, 0, 0, 6, 0, -36, 0, 0, 0, -24, 0, 4, 0, 0, 0, 0, 0, -112, 0, 0, 0, -60, 0, 54, 0, 0, 0, 0, 0, -40, 0, 0, 0, 24, 0, -68, 0, 0, 0, 18, 0, -72, 0, 0, 0, 72, 0, 32, 0, 0, 0, -138, 0, -136, 0, 0, 0, -48, 0, -11, 0, 0, 0, -48, 0, -40, 0, 0, 0, 0, 0, -126, 0, 0, 0, -48, 0, -8, 0, 0, 0, 0, 0, -23, 0, 0, 0, 18, 0, 184, 0, 0, 0, -72, 0, 37, 0, 0, 0, 39, 0, -36, 0, 0, 0, -120, 0, -50, 0, 0, 0, 3, 0, 44, 0, 0, 0, -84, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 24, 0, 144, 0, 0, 0, 6, 0, 16, 0, 0, 0, 120, 0, 148, 0, 0, 0, 0, 0, -16, 0, 0, 0, -48, 0, -59, 0, 0, 0, -96, 0, 32, 0, 0, 0, 0, 0, 5, 0, 0, 0, 6, 0, 52, 0, 0, 0, -24, 0, 124, 0, 0, 0, 66, 0, -28, 0, 0, 0, 12, 0, 0, 0, 0, 0, 138, 0, 0, 0, 0, 0, 24, 0, -18, 0, 0, 0, 3, 0, -40, 0, 0, 0, 0, 0, -32, 0, 0, 0, -21, 0, -36, 0, 0, 0, 12, 0, 61, 0, 0, 0, -84, 0, -160, 0, 0, 0, 12, 0, -26, 0, 0, 0, -96, 0, -4, 0, 0, 0, -96, 0, 108, 0, 0, 0, 9, 0, 0, 0, 0, 0, -48, 0, -23, 0, 0, 0, -18, 0, -40, 0, 0, 0, -48, 0, -35, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 22, 0, 0, 0, -9, 0, -20, 0, 0, 0, 48, 0, 9, 0, 0, 0, 0, 0, 72, 0, 0, 0, 24, 0, -44, 0, 0, 0, 0, 0, 32, 0, 0, 0, 48, 0, 0, 0, 0, 0, 48, 0, -8, 0, 0, 0, -36, 0, -21, 0, 0, 0, -66, 0, 144, 0, 0, 0, 0, 0, -71, 0, 0, 0, -30, 0, -40, 0, 0, 0, -72, 0, -26, 0, 0, 0, 54, 0, -28, 0, 0, 0, -84, 0, -27, 0, 0, 0, 18, 0, -8, 0, 0, 0, 84, 0, -64, 0, 0, 0, 30, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -45, 0, 36, 0, 0, 0, 24, 0, -45, 0, 0, 0, 0, 0, 144, 0, 0, 0, 84, 0, -71, 0, 0, 0, 9, 0, 40, 0, 0, 0, 72, 0, 36, 0, 0, 0, -45, 0, -16, 0, 0, 0, 0, 0, -16, 0, 0, 0, 12, 0, 16, 0, 0, 0, 108, 0, 0, 0, 0, 0, 51, 0, -64, 0, 0, 0, -144, 0, 32, 0, 0, 0, -75, 0, -16, 0, 0, 0, 0, 0, 73, 0, 0, 0, 36, 0, 104, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6708203932499369, 1.161895003862225], [0.0, 0.0], [-0.7559289460184545, 1.3093073414159544], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.1386750490563073, 0.2401922307076307], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7276068751089989, 0.0], [0.0, 0.0], [0.9176629354822471, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4, 0.6928203230275509], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8356290217967334, 1.447351922031023], [0.0, 0.0], [-0.3592106040535498, -0.6221710168382552], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-2.02837021134844, 0.0], [0.0, 0.0], [-0.1643989873053573, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4685212856658182, -0.8115026712006891], [0.0, 0.0], [0.6099942813304187, -1.0565410875907486], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8751899489873673, 1.5158734579197342], [0.0, 0.0], [-0.6428571428571429, -1.1134612334371354], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], 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• 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': 5184, 'analytic_conductor': 10.348612101957938, 'char_conductor': 9, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 3, 'char_parity': 1, 'char_values': [1296, 3, [1135, 325, 1217], [3, 3, 1]], 'conrey_index': 433, 'cusp_dim': 360, 'dim': 46, 'eis_dim': 144, 'eis_new_dim': 4, 'hecke_cutter_primes': [5, 7], 'hecke_orbit_code': 549789369616, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4], 'label': '1296.2.i', 'level': 1296, '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, 3], 'level_radical': 6, 'mf_dim': 504, 'mf_new_dim': 50, 'num_forms': 20, 'prim_orbit_index': 3, 'relative_dim': 23, 'sturm_bound': 432, 'trace_bound': 7, 'trace_display': [0, 0, 0, -2], 'traces': [46, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -17, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -15, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 34, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -23, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 58, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 58, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, -9, 0, 0, 0, 0, 0, -26, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, -188, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -38, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 50, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, 130, 0, 0, 0, 0, 0, 74, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, 118, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, -140, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -106, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, -46, 0, 0, 0, 0, 0, -218, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -230, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 124, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 26, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 484, 0, 0, 0, 0, 0, -47, 0, 0, 0, 0, 0, 156, 0, 0, 0, 0, 0, 284, 0, 0, 0, 0, 0, 226, 0, 0, 0, 0, 0, -92, 0, 0, 0, 0, 0, 416, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 94, 0, 0, 0, 0, 0, -148, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -70, 0, 0, 0, 0, 0, 82, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -35, 0, 0, 0, 0, 0, -260, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -276, 0, 0, 0, 0, 0, -166, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -82, 0, 0, 0, 0, 0, -286, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -248, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 308, 0, 0, 0, 0, 0, -142, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, -46, 0, 0, 0, 0, 0, 592, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 226, 0, 0, 0, 0, 0, -244, 0, 0, 0, 0, 0, 116, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 472, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 286, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -38, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 91, 0, 0, 0, 0, 0, -500, 0, 0, 0, 0, 0, 86, 0, 0, 0, 0, 0, -278, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, -334, 0, 0, 0, 0, 0, 194, 0, 0, 0, 0, 0, -356, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, 46, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 182, 0, 0, 0, 0, 0, -156, 0, 0, 0, 0, 0, 212, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -123, 0, 0, 0, 0, 0, 130, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, -284, 0, 0, 0, 0, 0, 74, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 47740954
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 865, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58547344945186064, 'target_is_minimal': False, 'target_label': '1296.2.i.n.865.1', 'target_level': 1296, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47740955
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 865, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504149416740112, 'target_is_minimal': False, 'target_label': '1296.2.i.b.865.1', 'target_level': 1296, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47740956
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 55, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510936354619554, 'target_is_minimal': False, 'target_label': '162.2.c.d.55.1', 'target_level': 162, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47740957
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595934631184, 'target_is_minimal': False, 'target_label': '1296.2.a.l.1.1', 'target_level': 1296, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47740958
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 433, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58547344945186064, 'target_is_minimal': False, 'target_label': '1296.2.i.n.433.1', 'target_level': 1296, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 47740959
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 433, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504149416740112, 'target_is_minimal': False, 'target_label': '1296.2.i.b.433.1', 'target_level': 1296, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 47740960
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288296720, 'target_is_minimal': False, 'target_label': '1296.2.a.c.1.1', 'target_level': 1296, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 47740961
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 55, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137472508066, 'target_is_minimal': False, 'target_label': '162.2.c.a.55.1', 'target_level': 162, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 47740962
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33554594, 'target_is_minimal': True, 'target_label': '162.2.a.a.1.1', 'target_level': 162, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '36.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 47740963
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915666082, 'target_is_minimal': True, 'target_label': '162.2.a.d.1.1', 'target_level': 162, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '36.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 47740964
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 109, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137472508066, 'target_is_minimal': False, 'target_label': '162.2.c.a.109.1', 'target_level': 162, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '36.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 47740965
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 109, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510936354619554, 'target_is_minimal': False, 'target_label': '162.2.c.d.109.1', 'target_level': 162, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '36.31', 'twisting_conrey_index': 31, 'weight': 2}
  • id: 47740966
    {'conductor': 72, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288300608, 'target_is_minimal': False, 'target_label': '5184.2.a.c.1.1', 'target_level': 5184, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '72.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 47740967
    {'conductor': 72, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197425153088, 'target_is_minimal': False, 'target_label': '5184.2.a.h.1.1', 'target_level': 5184, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '72.29', 'twisting_conrey_index': 29, 'weight': 2}
  • id: 47740968
    {'conductor': 72, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 108086391090451520, 'target_is_minimal': False, 'target_label': '5184.2.a.y.1.1', 'target_level': 5184, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '72.43', 'twisting_conrey_index': 43, 'weight': 2}
  • id: 47740969
    {'conductor': 72, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 130604389227304000, 'target_is_minimal': False, 'target_label': '5184.2.a.bd.1.1', 'target_level': 5184, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '72.61', 'twisting_conrey_index': 61, 'weight': 2}
  • id: 47740970
    {'conductor': 180, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021735236734930, 'target_is_minimal': False, 'target_label': '4050.2.c.g.649.1', 'target_level': 4050, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '180.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 47740971
    {'conductor': 180, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021735236734930, 'target_is_minimal': False, 'target_label': '4050.2.c.g.649.2', 'target_level': 4050, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '180.43', 'twisting_conrey_index': 43, 'weight': 2}
  • id: 47740972
    {'conductor': 180, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 58546932628328402, 'target_is_minimal': False, 'target_label': '4050.2.c.n.649.2', 'target_level': 4050, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '180.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 47740973
    {'conductor': 180, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 148618787736784850, 'target_is_minimal': False, 'target_label': '4050.2.a.bh.1.1', 'target_level': 4050, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '180.79', 'twisting_conrey_index': 79, 'weight': 2}
  • id: 47740974
    {'conductor': 180, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58546932628328402, 'target_is_minimal': False, 'target_label': '4050.2.c.n.649.1', 'target_level': 4050, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '180.83', 'twisting_conrey_index': 83, 'weight': 2}
  • id: 47740975
    {'conductor': 180, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 76561193698856914, 'target_is_minimal': False, 'target_label': '4050.2.a.r.1.1', 'target_level': 4050, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '180.119', 'twisting_conrey_index': 119, 'weight': 2}
  • id: 47740976
    {'conductor': 252, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 81064793326231298, 'target_is_minimal': False, 'target_label': '7938.2.a.s.1.1', 'target_level': 7938, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '252.83', 'twisting_conrey_index': 83, 'weight': 2}
  • id: 47740977
    {'conductor': 252, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58547344945186064, 'source_is_minimal': False, 'source_label': '1296.2.i.n.865.1', 'source_level': 1296, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58546795189378818, 'target_is_minimal': False, 'target_label': '7938.2.a.n.1.1', 'target_level': 7938, 'twist_class_label': '162.2.a.a.1.1', 'twist_class_level': 162, 'twisting_char_label': '252.223', 'twisting_conrey_index': 223, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1836900
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 58547344945186064, 'p': 2}
  • id: 1836901
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 58547344945186064, 'p': 3}
  • id: 1836902
    {'charpoly_factorization': [[[9, -3, 1], 1]], 'hecke_orbit_code': 58547344945186064, 'p': 5}
  • id: 1836903
    {'charpoly_factorization': [[[16, 4, 1], 1]], 'hecke_orbit_code': 58547344945186064, 'p': 7}
  • id: 1836904
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 58547344945186064, 'p': 11}
  • id: 1836905
    {'charpoly_factorization': [[[1, -1, 1], 1]], 'hecke_orbit_code': 58547344945186064, 'p': 13}
  • id: 1836906
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 58547344945186064, 'p': 17}
  • id: 1836907
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 58547344945186064, 'p': 19}
  • id: 1836908
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 58547344945186064, 'p': 23}
  • id: 1836909
    {'charpoly_factorization': [[[81, 9, 1], 1]], 'hecke_orbit_code': 58547344945186064, 'p': 29}
  • id: 1836910
    {'charpoly_factorization': [[[16, 4, 1], 1]], 'hecke_orbit_code': 58547344945186064, 'p': 31}
  • id: 1836911
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 58547344945186064, 'p': 37}
  • id: 1836912
    {'charpoly_factorization': [[[36, 6, 1], 1]], 'hecke_orbit_code': 58547344945186064, 'p': 41}
  • id: 1836913
    {'charpoly_factorization': [[[64, -8, 1], 1]], 'hecke_orbit_code': 58547344945186064, 'p': 43}
  • id: 1836914
    {'charpoly_factorization': [[[144, 12, 1], 1]], 'hecke_orbit_code': 58547344945186064, 'p': 47}
  • id: 1836915
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 58547344945186064, 'p': 53}
  • id: 1836916
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 58547344945186064, 'p': 59}
  • id: 1836917
    {'charpoly_factorization': [[[1, -1, 1], 1]], 'hecke_orbit_code': 58547344945186064, 'p': 61}
  • id: 1836918
    {'charpoly_factorization': [[[16, 4, 1], 1]], 'hecke_orbit_code': 58547344945186064, 'p': 67}
  • id: 1836919
    {'charpoly_factorization': [[[-12, 1], 2]], 'hecke_orbit_code': 58547344945186064, 'p': 71}
  • id: 1836920
    {'charpoly_factorization': [[[-11, 1], 2]], 'hecke_orbit_code': 58547344945186064, 'p': 73}
  • id: 1836921
    {'charpoly_factorization': [[[256, 16, 1], 1]], 'hecke_orbit_code': 58547344945186064, 'p': 79}
  • id: 1836922
    {'charpoly_factorization': [[[144, 12, 1], 1]], 'hecke_orbit_code': 58547344945186064, 'p': 83}
  • id: 1836923
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 58547344945186064, 'p': 89}
  • id: 1836924
    {'charpoly_factorization': [[[4, 2, 1], 1]], 'hecke_orbit_code': 58547344945186064, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 9, 'hecke_orbit': 14, 'label': '1296.2.i.n', 'level': 1296, '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

  
  
  • id: 59305405
    {'hecke_orbit_code': 58547344945186064, 'n': 1, 'trace_an': 2}
  • id: 59305406
    {'hecke_orbit_code': 58547344945186064, 'n': 2, 'trace_an': 0}
  • id: 59305407
    {'hecke_orbit_code': 58547344945186064, 'n': 3, 'trace_an': 0}
  • id: 59305408
    {'hecke_orbit_code': 58547344945186064, 'n': 4, 'trace_an': 0}
  • id: 59305409
    {'hecke_orbit_code': 58547344945186064, 'n': 5, 'trace_an': 3}
  • id: 59305410
    {'hecke_orbit_code': 58547344945186064, 'n': 6, 'trace_an': 0}
  • id: 59305411
    {'hecke_orbit_code': 58547344945186064, 'n': 7, 'trace_an': -4}
  • id: 59305412
    {'hecke_orbit_code': 58547344945186064, 'n': 8, 'trace_an': 0}
  • id: 59305413
    {'hecke_orbit_code': 58547344945186064, 'n': 9, 'trace_an': 0}
  • id: 59305414
    {'hecke_orbit_code': 58547344945186064, 'n': 10, 'trace_an': 0}
  • id: 59305415
    {'hecke_orbit_code': 58547344945186064, 'n': 11, 'trace_an': 0}
  • id: 59305416
    {'hecke_orbit_code': 58547344945186064, 'n': 12, 'trace_an': 0}
  • id: 59305417
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  • id: 59305418
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  • id: 59305419
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  • id: 59305420
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  • id: 59305421
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  • id: 59305422
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  • id: 59305423
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  • id: 59305424
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  • id: 59305425
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  • id: 59305426
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  • id: 59305427
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  • id: 59305428
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  • id: 59305429
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  • id: 59305430
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  • id: 59305431
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  • id: 59305432
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  • id: 59305433
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  • id: 59305434
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  • id: 59305435
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  • id: 59305436
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  • id: 59305437
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  • id: 59305438
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  • id: 59305439
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  • id: 59305440
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  • id: 59305441
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  • id: 59305442
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  • id: 59305443
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  • id: 59305444
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  • id: 59305445
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  • id: 59305446
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  • id: 59305447
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  • id: 59305448
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  • id: 59305449
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  • id: 59305450
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  • id: 59305451
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  • id: 59305452
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  • id: 59305453
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  • id: 59305454
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  • id: 59305455
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  • id: 59305456
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  • id: 59305457
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  • id: 59305458
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  • id: 59305459
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  • id: 59305460
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  • id: 59305461
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  • id: 59305462
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  • id: 59305463
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  • id: 59305464
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  • id: 59305465
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  • id: 59305466
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  • id: 59305467
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  • id: 59305468
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  • id: 59305469
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  • id: 59305470
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  • id: 59305471
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  • id: 59305472
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  • id: 59305473
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  • id: 59305474
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  • id: 59305475
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  • id: 59305476
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  • id: 59305477
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  • id: 59305478
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  • id: 59305479
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  • id: 59305480
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  • id: 59305481
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  • id: 59305482
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  • id: 59305483
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  • id: 59305484
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  • id: 59305485
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  • id: 59305486
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  • id: 59305487
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  • id: 59305488
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  • id: 59305489
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  • id: 59305490
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  • id: 59305491
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  • id: 59305492
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  • id: 59305493
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  • id: 59305494
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  • id: 59305495
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  • id: 59305496
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  • id: 59305497
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  • id: 59305498
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  • id: 59305499
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  • id: 59305500
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  • id: 59305501
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  • id: 59305502
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  • id: 59305503
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  • id: 59305504
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  • id: 59305505
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  • id: 59305506
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  • id: 59305507
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  • id: 59305508
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  • id: 59305509
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  • id: 59305510
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  • id: 59305511
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  • id: 59305512
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  • id: 59305513
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  • id: 59305514
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  • id: 59305515
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  • id: 59305516
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  • id: 59305517
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  • id: 59305518
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  • id: 59305519
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  • id: 59305520
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  • id: 59305521
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  • id: 59305522
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  • id: 59305523
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  • id: 59305524
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  • id: 59305525
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  • id: 59305526
    {'hecke_orbit_code': 58547344945186064, 'n': 191, 'trace_an': 12}
  • id: 59305527
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  • id: 59305528
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  • id: 59305529
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  • id: 59305530
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  • id: 59305531
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  • id: 59305532
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  • id: 59305533
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  • id: 59305534
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  • id: 59305535
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  • id: 59305536
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  • id: 59305537
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  • id: 59305538
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  • id: 59305539
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  • id: 59305540
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  • id: 59305541
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  • id: 59305542
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  • id: 59305543
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  • id: 59305544
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  • id: 59305545
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  • id: 59305546
    {'hecke_orbit_code': 58547344945186064, 'n': 283, 'trace_an': -4}
  • id: 59305547
    {'hecke_orbit_code': 58547344945186064, 'n': 289, 'trace_an': -16}
  • id: 59305548
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  • id: 59305549
    {'hecke_orbit_code': 58547344945186064, 'n': 307, 'trace_an': -40}
  • id: 59305550
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  • id: 59305551
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  • id: 59305552
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  • id: 59305553
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  • id: 59305554
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  • id: 59305555
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  • id: 59305556
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  • id: 59305557
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  • id: 59305558
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  • id: 59305559
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  • id: 59305560
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  • id: 59305561
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  • id: 59305562
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  • id: 59305563
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  • id: 59305564
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  • id: 59305565
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  • id: 59305566
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  • id: 59305567
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  • id: 59305568
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  • id: 59305569
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  • id: 59305570
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  • id: 59305571
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  • id: 59305572
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  • id: 59305573
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  • id: 59305574
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  • id: 59305575
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  • id: 59305576
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  • id: 59305577
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  • id: 59305578
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  • id: 59305579
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  • id: 59305580
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  • id: 59305581
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  • id: 59305582
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  • id: 59305583
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  • id: 59305584
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  • id: 59305585
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  • id: 59305586
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  • id: 59305587
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  • id: 59305588
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  • id: 59305589
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  • id: 59305590
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  • id: 59305591
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  • id: 59305592
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  • id: 59305593
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  • id: 59305594
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  • id: 59305595
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  • id: 59305596
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  • id: 59305597
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  • id: 59305598
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  • id: 59305599
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  • id: 59305600
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  • id: 59305601
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  • id: 59305602
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  • id: 59305603
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  • id: 59305604
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  • id: 59305605
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  • id: 59305606
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  • id: 59305607
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  • id: 59305608
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  • id: 59305609
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  • id: 59305610
    {'hecke_orbit_code': 58547344945186064, 'n': 653, 'trace_an': -18}
  • id: 59305611
    {'hecke_orbit_code': 58547344945186064, 'n': 659, 'trace_an': 12}
  • id: 59305612
    {'hecke_orbit_code': 58547344945186064, 'n': 661, 'trace_an': -23}
  • id: 59305613
    {'hecke_orbit_code': 58547344945186064, 'n': 673, 'trace_an': -11}
  • id: 59305614
    {'hecke_orbit_code': 58547344945186064, 'n': 677, 'trace_an': 6}
  • id: 59305615
    {'hecke_orbit_code': 58547344945186064, 'n': 683, 'trace_an': -72}
  • id: 59305616
    {'hecke_orbit_code': 58547344945186064, 'n': 691, 'trace_an': -28}
  • id: 59305617
    {'hecke_orbit_code': 58547344945186064, 'n': 701, 'trace_an': -102}
  • id: 59305618
    {'hecke_orbit_code': 58547344945186064, 'n': 709, 'trace_an': -47}
  • id: 59305619
    {'hecke_orbit_code': 58547344945186064, 'n': 719, 'trace_an': 0}
  • id: 59305620
    {'hecke_orbit_code': 58547344945186064, 'n': 727, 'trace_an': -28}
  • id: 59305621
    {'hecke_orbit_code': 58547344945186064, 'n': 729, 'trace_an': 0}
  • id: 59305622
    {'hecke_orbit_code': 58547344945186064, 'n': 733, 'trace_an': -14}
  • id: 59305623
    {'hecke_orbit_code': 58547344945186064, 'n': 739, 'trace_an': -40}
  • id: 59305624
    {'hecke_orbit_code': 58547344945186064, 'n': 743, 'trace_an': 12}
  • id: 59305625
    {'hecke_orbit_code': 58547344945186064, 'n': 751, 'trace_an': 20}
  • id: 59305626
    {'hecke_orbit_code': 58547344945186064, 'n': 757, 'trace_an': 76}
  • id: 59305627
    {'hecke_orbit_code': 58547344945186064, 'n': 761, 'trace_an': 15}
  • id: 59305628
    {'hecke_orbit_code': 58547344945186064, 'n': 769, 'trace_an': 37}
  • id: 59305629
    {'hecke_orbit_code': 58547344945186064, 'n': 773, 'trace_an': -54}
  • id: 59305630
    {'hecke_orbit_code': 58547344945186064, 'n': 787, 'trace_an': 32}
  • id: 59305631
    {'hecke_orbit_code': 58547344945186064, 'n': 797, 'trace_an': 51}
  • id: 59305632
    {'hecke_orbit_code': 58547344945186064, 'n': 809, 'trace_an': -78}
  • id: 59305633
    {'hecke_orbit_code': 58547344945186064, 'n': 811, 'trace_an': 32}
  • id: 59305634
    {'hecke_orbit_code': 58547344945186064, 'n': 821, 'trace_an': 15}
  • id: 59305635
    {'hecke_orbit_code': 58547344945186064, 'n': 823, 'trace_an': 44}
  • id: 59305636
    {'hecke_orbit_code': 58547344945186064, 'n': 827, 'trace_an': 96}
  • id: 59305637
    {'hecke_orbit_code': 58547344945186064, 'n': 829, 'trace_an': 28}
  • id: 59305638
    {'hecke_orbit_code': 58547344945186064, 'n': 839, 'trace_an': 24}
  • id: 59305639
    {'hecke_orbit_code': 58547344945186064, 'n': 841, 'trace_an': -52}
  • id: 59305640
    {'hecke_orbit_code': 58547344945186064, 'n': 853, 'trace_an': 10}
  • id: 59305641
    {'hecke_orbit_code': 58547344945186064, 'n': 857, 'trace_an': 39}
  • id: 59305642
    {'hecke_orbit_code': 58547344945186064, 'n': 859, 'trace_an': -52}
  • id: 59305643
    {'hecke_orbit_code': 58547344945186064, 'n': 863, 'trace_an': -48}
  • id: 59305644
    {'hecke_orbit_code': 58547344945186064, 'n': 877, 'trace_an': 25}
  • id: 59305645
    {'hecke_orbit_code': 58547344945186064, 'n': 881, 'trace_an': 60}
  • id: 59305646
    {'hecke_orbit_code': 58547344945186064, 'n': 883, 'trace_an': 8}
  • id: 59305647
    {'hecke_orbit_code': 58547344945186064, 'n': 887, 'trace_an': 24}
  • id: 59305648
    {'hecke_orbit_code': 58547344945186064, 'n': 907, 'trace_an': -16}
  • id: 59305649
    {'hecke_orbit_code': 58547344945186064, 'n': 911, 'trace_an': 24}
  • id: 59305650
    {'hecke_orbit_code': 58547344945186064, 'n': 919, 'trace_an': 32}
  • id: 59305651
    {'hecke_orbit_code': 58547344945186064, 'n': 929, 'trace_an': 3}
  • id: 59305652
    {'hecke_orbit_code': 58547344945186064, 'n': 937, 'trace_an': -74}
  • id: 59305653
    {'hecke_orbit_code': 58547344945186064, 'n': 941, 'trace_an': 27}
  • id: 59305654
    {'hecke_orbit_code': 58547344945186064, 'n': 947, 'trace_an': -12}
  • id: 59305655
    {'hecke_orbit_code': 58547344945186064, 'n': 953, 'trace_an': 18}
  • id: 59305656
    {'hecke_orbit_code': 58547344945186064, 'n': 961, 'trace_an': 15}
  • id: 59305657
    {'hecke_orbit_code': 58547344945186064, 'n': 967, 'trace_an': -4}
  • id: 59305658
    {'hecke_orbit_code': 58547344945186064, 'n': 971, 'trace_an': 72}
  • id: 59305659
    {'hecke_orbit_code': 58547344945186064, 'n': 977, 'trace_an': 18}
  • id: 59305660
    {'hecke_orbit_code': 58547344945186064, 'n': 983, 'trace_an': 48}
  • id: 59305661
    {'hecke_orbit_code': 58547344945186064, 'n': 991, 'trace_an': 104}
  • id: 59305662
    {'hecke_orbit_code': 58547344945186064, 'n': 997, 'trace_an': 37}