Embedded newform data - 1274.2.f.i.1145.1

Formats: - HTML - YAML - JSON - 2026-07-11T21:40:59.150450

• 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': 5096, 'analytic_conductor': 10.172941217511122, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 7, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 3, 'char_parity': 1, 'char_values': [1274, 3, [885, 197], [1, 3]], 'cm_discs': [], 'conrey_index': 79, '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': [[3, [1, -1, 1]], [5, [0, 1]], [11, [9, -3, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36029140649903354, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 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': '1274.2.f.i', 'level': 1274, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 13], 'level_radical': 182, 'minimal_twist': '182.2.a.d', 'nf_label': '2.0.3.1', 'prim_orbit_index': 3, 'qexp_display': 'q-\\zeta_{6}q^{2}+(1-\\zeta_{6})q^{3}+(-1+\\zeta_{6})q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1274.2.f', 'trace_display': [-1, 1, 0, 0], 'trace_hash': 545045923805163039, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.003', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.026', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '12.595', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '118.395', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.015', 'prec': 17}, 'traces': [2, -1, 1, -1, 0, -2, 0, 2, 2, 0, 3, 1, -2, 0, 0, -1, 0, 2, 2, 0, 0, -6, 3, 1, 5, 1, 10, 0, 0, 0, 5, -1, -3, 0, 0, -4, 7, 2, -1, 0, -6, 0, 16, 3, 0, 3, -3, -2, 0, -10, 0, 1, 12, -5, 0, 0, 4, 0, 6, 0, -1, -10, 0, 2, 0, -3, -5, 0, 6, 0, 24, 2, 11, 7, -5, -4, 0, 2, 1, 0, -1, 3, -24, 0, 0, -8, 0, 3, -18, 0, 0, -6, -5, -3, 0, 1, -34, 0, 12, 5, -3, 0, 14, -2, 0, -24, 0, -5, -2, 0, 14, 0, 18, -2, 0, 0, -2, -12, 0, 0, 2, -1, -3, 5, 0, 0, -14, -1, 8, 0, 0, 6, 0, 10, 0, 0, 6, -3, 8, 0, -6, -12, -3, 2, 0, -22, 0, -14, 15, -5, -8, 2, 0, 0, 0, -1, -13, 1, -12, 0, 0, 2, -20, 3, 0, 12, 48, 0, 2, 0, -4, -8, -18, 0, 0, -6, -6, -18, 6, 0, 14, 0, -2, 3, 0, -5, 0, 6, 0, 0, 0, 1, 4, 17, 0, 0, -6, -6, -16, 5, 5, 6, 0, 0, 0, 14, -6, 1, 12, 0, -44, 12, 12, 0, 0, 10, 0, 4, -11, 0, 0, -7, 2, 0, 20, -9, -24, -2, -4, 0, 0, 0, -3, -2, 0, 6, 2, 0, 12, 0, 26, 2, 16, 2, 0, 6, -2, 5, -12, 0, 30, 0, 18, 7, 0, -1, 24, -16, 0, 0, 0, 0, -24, -3, 0, 0, -36, -5, -9, 0, 11, 0, 0, -12, -15, -3, -26, -4, 20, 0, 24, 3, -31, -12, 0, 6, 0, -4, 17, 0, -17, 11, -36, 0, 0, 7, 15, 15, -3, 10, 0, 16, 3, 2, 0, 0, 32, 0, 28, 0, 30, -1, 26, 26, 0, -2, 3, -12, 0, 0, 0, 0, 0, -1, -5, -20, 2, -6, 0, 0, 19, 12, -14, -24, 0, 0, -62, -1, 9, 0, -15, 8, 0, 16, 0, -18, -24, 0, 20, 0, -10, 3, 15, -6, 0, 36, 0, -12, 24, 0, 15, -7, 4, 0, 0, 1, -28, 3, -6, 0, 0, 10, 4, 0, 0, -3, 0, 0, -32, 0, -7, 0, 3, -2, 0, -8, 16, 17, 36, 0, 0, 0, 0, 3, 0, -6, 20, 32, 0, -10, -24, 5, -5, -3, 0, 0, 42, 0, -22, 0, -6, -28, 0, 12, 0, 1, 4, -6, -42, 0, -74, 22, 6, 12, 0, -24, 0, 0, 3, 0, 6, -5, -76, 0, 0, -2, -6, -11, 26, 0, 0, 0, -24, -7, 0, -1, 30, 0, -12, -10, -9, -9, 8, 48, 0, 4, -26, -4, 0, 0, -48, 0, -80, 0, 0, -3, 12, 4, 0, 0, 13, 6, 24, -1, 20, 0, 48, -6, 24, 0, -7, -52, 0, -4, 0, 16, -2, -1, -40, 0, 24, -3, 0, -2, 0, -10, 0, 24, -23, 0, 24, -15, -24, 0, 0, -9, 1, 7, -30, 0, 0, 2, 10, 24, 0, 8, -18, 0, -36, 0, 6, 0, -7, 0, 0, 48, 0, -3, 14, 0, 24, 0, 6, 18, 0, -5, -6, 18, 0, 0, 34, 11, 7, 0, 0, 0, 16, 6, 2, -15, 0, 6, 0, 52, 0, -4, 15, -10, -16, 0, 0, -12, -39, 3, 0, 62, 0, 24, -21, 0, 22, -3, 0, 0, 30, 2, 2, 17, -4, 0, 0, 34, -36, 11, 0, 18, -36, 0, 20, 0, -3, 7, -6, -30, 0, -30, 16, -3, -39, -5, 20, 0, -20, -8, 0, 3, 14, -4, 0, 0, 3, 0, 25, -16, 0, 0, 36, -14, -10, 0, 15, -60, 0, 2, -25, 26, 6, -13, 0, 0, -68, 1, -22, 3, 0, 24, 0, 0, 24, 0, 33, 0, -64, 0, 0, 0, 12, -1, -18, 10, 0, 40, -24, 2, 0, 3, 44, 0, 84, 0, 32, 19, 0, -24, 0, 28, 0, -24, 1, 0, -6, 0, -2, 31, 25, -1, -39, -18, 0, 0, 24, -15, 27, -4, 0, 0, -8, -8, -12, 0, 8, 36, 0, 48, 0, 0, 0, -10, -6, 0, -72, 5, -14, 3, 0, -30, 0, 12, -35, 0, -2, -18, 30, 0, 0, 6, 6, 24, 6, 0, 0, -30, -26, -7, 0, -2, -52, 0, 26, 0, 0, 1, -4, 56, 0, -6, 15, -6, 16, 0, -4, 0, -48, -5, 0, 4, -24, 0, 0, 0, 31, -3, 15, 0, 0, 0, 76, 16, 9, 0, 3, 14, 0, 0, 0, 3, -6, 1, 26, 0, 48, 4, -54, 16, -25, -34, 0, -72, -6, 0, 36, 0, 0, 0, 0, 0, 32, 3, 24, 0, 0, 12, 1, 20, 0, -16, -18, 0, 0, 5, 36, -24, -33, -10, 0, 10, 9, -3, -30, 0, -40, 0, 22, -21, 0, 0, 16, 44, 0, 0, 6, -6, -41, 14, -30, 0, -72, -6, 38, 0, 26, -2, 0, -8, 0, -6, 25, 21, 42, 0, -58, 37, 12, 22, 0, -12, 0, -24, 31, 0, -21, 12, -88, 0, 0, 0, 54, 3, 23, 0, 0, -12, -12, -5, 0, 38, 34, 0, 6, 0, 5, -2, -34, 12, 0, 22, 13, 26, -18, 0, -12, 0, 4, 0, 0, -24, 42, 14, 0, 0, 3, -1, 6, -15, 0, 0, -6, 6, 0, -10, 0, 18, 0, 18, 0, 8, -26, -24, -12, 0, 24, -2, -36, -26, 0, 8, 0, 0, 25, 0, 16, 24, -24, 0, 70, 40, -28, 0, -9, 0, 0, 6, -30, 12, 0, -2, 104, 0, 52, 0, 30, 13, -9, -12, 0, -48, -48, -1, -11, -10, 6, 0, -84, -24, 0, -6, 0, -48, 0, 0, 6, -7, 0, 26, 0, 0, -44, 2, 0, 0, -21, -32, 0, 4, 5, -1, -18, 20, -108, 0, -8, -12, 0, -3, 0, 0, 0, 4, 24, 0, -11, 5, 38, 0, 0, -12, -37, -23, 35, 0, 0, -48, 0, -15, 0, 12, 48, 0, -32, 0, -31, -9, 18, -2, 0, -14, 18, -30, -36, 0, -28, 0, -30, -1, -15, 10, -1, -48, 0, 0, 15, 8, -44, 9, 0, 0, 0, 18, 50, 0, 24, -12, 0, 0, 0, -7, 10, 0, 72, 0, -74, -24, 1, 0, 0, 6, 0, -28, -15, 0, -42, -12, 104, 0, 0, -3, -51, 18, -19, 0, 0, 10, 0, -6, 40, -9, 48, 0, 24, 0, 9, 34, -15, -22, 0, -14, 46, 0, -4, 0, -6, 0, 28, -8, 0, 6, 21, -4, 0, 30, 28, 0, 36, -3, 0, 0, -30, -26, -42, 0, 9, 8, 0, -30, 0, -10, -56, 8, 8, 0, 24, 0, 8, -12, 0, 78, 0, -6, 4, 0, 0, -31, 84, 0, 0, -12, -16, -21, 0, 0, 0, -44, -14, -3, 0, 0, 70, 0, 6, -15, 9, 2, -52, -4, 0, -34, 18, -4, 2, 0, 80, 0, 66, -17, 0, -36, -36, -22, 0, 0, -2, 18, 0, 18, -30, 0, 0, -10, 0, 0, 30, 6, 0, -14, 0, -6, -18, 15, 0, 0, 40, 15, -18, 16, 0, 6, 0, 78, 6, -5, 40, -10, -48, 0, 0, 10, 0, -8, 5, 0, 0, -6, -26, 14, 0, 2, -60, 0, 72, 0, 21, 3, -24, 0, 0, -50, 22, -16, -51, 0, 128, 0, 24, -18, 0, -14, 32, 20, 0, 0, 0, 15, 27, 30, 0, 0, 0, -1, 26, -25, 8, -52, 0, -12, 0, -13, -21, 0, 132, 0, 34, 34, -37, 1, 0, 44, 0, -6, -15, 0, -15, -12, -20, 0, 0, 0, 30, 24, 20, 0, 0, -66, -66, 0, 0, 32, -12, 0, 36, 0, -31, 0, -6, -24, 0, 2, -29, -18, -38, -5, 42, 0, -2, -20, 0, -24, 0, -4, 0, 0, 6, 3, 3, -22, 0, 0, 52, -42, 51, 0, 35, -64, 0, -38, -60, 0, 31, 12, -48, 0, 78, -14, 40, 0, 0, 48, 0, -2, -14, 0, -30, 3, 0, 0, 0, 1, -6, 31, 24, -50, 0, 2, 9, -39, 0, 9, 36, 0, -32, 0, -60, 24, 0, 30, 0, -54, 18, -4, -12, 0, -52, 0, 30, 4, 0, -8, 0, 24, 0, 0, 22, 8, -24, -18, 0, 0, 44, -24, -40, 0, 0, 0, 0, 0, 0, -10, -21, 3, -82, 0, 24, 36, 3, 5, 0, 28, 0, -6, -36, 0, 0, 15, -52, 0, 0, -6, 2, -35, -24, 0, 0, 4, 34, -18, 10, -15, 66, 0, -56, 0, 60, 6, -24, -12, 0, -48, -24, 6, 9, 0, 0, 0, -14, 15, 0, -26, 8, 14, 0, 0, -15, -2, 4, 26, 0, 0, -30, -13, -52, 0, 2, 0, 0, -2, 0, -4, 40, -28, -18, 0, 64, 3, 12, 15, -30, 12, 0, -32, 0, 0, -3, 2, 2, 0, 0, 24, -63, -5, 5, 0, 0, -8, -45, -24, 0, 0, -46, 0, 0, 0, -2, 31, 48, 6, 0, -30, -18, 0, -12, 0, -120, 0, 0, -38, 0, 16, -21, -18, 0, 0, 2, 3, 57, -7, -10, 0, -60, 0, 12, 0, -61, -6, 0, 12, 0, 1, 0, -13, -4, 0, -30, -24, 32, 4, 0, 108, 0, -32, 34, -25, -9, 17, -126, 0, 0, 36, 36, -6, -66, 0, 0, -72, -6, 0, 0, 0, 86, 0, -14, 0, 18, 0, -2, -64, 0, -6, -24, 24, -5, 0, 0, 0, 30, -6, 0, 1, -14, -40, 0, 0, 56, -16, 30, 9, 0, 0, 46, 0, 3, 5, 54, -72, 0, 48, 0, -33, 6, 5, 92, 0, 24, -5, -63, 9, 0, 6, 0, 60, 48, 0, -38, 20, 68, 0, 0, -11, 26, -21, 14, 0, 0, 0, 36, 16, 0, -22, -54, 0, 90, 0, 8, 6, -60, 12, 0, 82, -5, 14, 0, 15, 14, 0, 0, 36, 0, -6, -7, -76, 0, 0, 24, 26, -8, 1, 0, 0, 36, 4, 50, 0, -15, 12, 0, -50, 25, 21, -8, -21, 66, 0, -64, 29, 0, 37, 0, -24, 0, -44, 39, 0, 36, 6, 50, 0, 0, 12, -21, 31, 8, 0, 0, 42, 0, 12, 0, 44, -42, 0, -138, 0, 0, 0, -22, -108, 0, -6, 0, 23, 0, 0, -78, 0, -26, 6, 15, -12, 39, 10, 0, 0, -2, 38, 12, -17, 0, 0, 16, -3, 21, 0, -49, -10, 0, 4, 0, -34, 25, -6, -72, 0, 0, -11, -37, 13, 0, -52, 0, 36, 40, 0, -18, 6, -48, 0, 0, -2, 10, 0, 0, 0, 0, 48, -6, 42, 60, -7, 44, 0, -12, 0, -6, 3, 56, 2, 0, -12, -12, -15, -17, 0, -64, 0, -120, 3, 0, 6, 39, 0, 0, 20, 52, 0, 10, -9, 0, 0, -8, -9, -25, 0, 36, -16, 0, 52, 0, -24, -3, 6, 0, 0, 28, -12, 54, -2, -55, 72, 0, 52, -30, 0, 22, -4, 6, 0, 0, 0, 72, 25, -25, 0, 0, -32, -34, 24, 0, 12, 84, 0, 42, -35, 18, 40, 0, 56, 0, 0, 10, -9, 3, 0, 20, 0, -6, -3, 0, -30, -4, -24, 0, 0, 51, -2, 7, -52, -50, 0, -132, -26, 71, 0, 12, -60, 0, -26, 0, -9, 0, 6, 120, 0, -10, 24, -34, -48, 0, 2, 0, 22, -44, -10, 30, -3, -108, 0, 0, 42, 45, -24, -36, 0, 0, 12, 30, 0, 0, 24, 120, 0, -12, 0, 0, 6, -33, 14, 0, 0, 9, 26, -32, 0, -36, 0, 124, 22, 0, 2, -15, 0, 0, 0, -12, -21, 0, 16, 0, 0, -36, -2, -42, 5, 44, 2, 0, 36, 0, 20, -28, 54, -48, 0, 168, 4, 8, -12, 0, 0, 0, 6, -18, 0, 55, 0, -90, 0, 10, -2, 42, 24, 27, 0, 0, 22, -32, 5, 0, -19, -124, 0, 0, 0, 21, -12, -22, 74, 0, 46, 15, 35, 16, 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], [-0.3535533905932738, -0.6123724356957945], [0.28867513459481287, -0.5], [-0.25, 0.4330127018922193], [0.0, 0.0], [-0.408248290463863, 0.0], [0.0, 0.0], [0.3535533905932738, 0.0], [0.3333333333333333, 0.5773502691896257], [0.0, 0.0], [0.45226701686664544, -0.7833494518006403], [0.14433756729740643, 0.25], [-0.2773500981126146, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.125, -0.21650635094610965], [0.0, 0.0], [0.23570226039551584, -0.408248290463863], [0.22941573387056177, 0.39735970711951313], [0.0, 0.0], [0.0, 0.0], [-0.6396021490668313, 0.0], [0.31277162108561213, 0.5417363388859614], [0.10206207261596575, -0.1767766952966369], [0.5, -0.8660254037844386], [0.09805806756909202, 0.16984155512168936], [0.9622504486493763, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.44901325506693723, -0.7777137710478189], [-0.08838834764831845, 0.15309310892394862], [-0.26111648393354675, -0.45226701686664544], [0.0, 0.0], [0.0, 0.0], [-0.3333333333333333, 0.0], [0.5753964555687505, 0.996615895540124], [0.16222142113076254, -0.2809757434745082], [-0.08006407690254357, 0.1386750490563073], [0.0, 0.0], [-0.4685212856658182, 0.0], [0.0, 0.0], [1.2199885626608373, 0.0], [0.22613350843332272, 0.39167472590032015], [0.0, 0.0], [0.2211629342323457, -0.38306543884143684], [-0.21879748724684184, -0.37896836447993354], [-0.14433756729740643, 0.0], [0.0, 0.0], [-0.7071067811865476, 0.0], [0.0, 0.0], [0.06933752452815364, -0.12009611535381536], [0.8241633836921342, -1.4274928542926595], [-0.34020690871988585, -0.5892556509887896], [0.0, 0.0], [0.0, 0.0], [0.26490647141300877, 0.0], [0.0, 0.0], [0.39056673294247163, -0.676481425202546], [0.0, 0.0], [-0.06401843996644799, -0.11088319064318593], [-0.6350006350009525, 0.0], [0.0, 0.0], [0.125, 0.0], [0.0, 0.0], [-0.1846372364689991, 0.31980107453341566], [-0.30542361089076303, 0.5290092118939487], [0.0, 0.0], [0.3611575592573076, 0.0], [0.0, 0.0], [1.424137989832624, 0.0], [0.11785113019775792, 0.2041241452319315], [0.6437263095787181, -1.1149666743591518], [0.4068667356033675, -0.7047138579747255], [-0.28867513459481287, -0.5], [-0.22941573387056177, 0.0], [0.0, 0.0], [0.11322770341445958, 0.0], [0.0562543950463012, 0.09743547036924463], [0.0, 0.0], [-0.05555555555555555, 0.09622504486493763], [0.1656472891122698, 0.28690952087850224], [-1.317171119876284, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.43133109281375365, -0.7470873676376284], [0.0, 0.0], [0.15990053726670783, -0.27695585470349865], [-0.9539980920057239, -1.6523731656776823], [0.0, 0.0], [0.0, 0.0], [-0.31277162108561213, 0.0], [-0.25923792368260634, -0.44901325506693723], [-0.154713186938819, 0.2679711003789361], [0.0, 0.0], [0.05103103630798288, 0.08838834764831845], [-1.7260884807271524, 0.0], [0.0, 0.0], [0.6030226891555273, 0.0], [0.25, 0.4330127018922193]], 'angles': [None, -0.37005929199733234, -0.08333333333333333, None, -0.3419743703053265, None, -0.4166666666666667, -0.04649256664359765, -0.03270460864740329, -0.25, -0.3425544638115229, 0.014242780415886737, -0.2876334561608239, -0.1455858625861807, -0.11844003738411732, -0.2624895480280304, -0.3528062006288643, -0.09352915696754197, -0.4660656976674243, -0.12387915348184565, -0.3053604289499843, -0.07437543942035786, -0.36442246823453, -0.38179542315892595, -0.41572257727077555, -0.4405105242237718, 0.037802163819525496, -0.08333333333333333, -0.43193435151292947, -0.18043153106678086, -0.3002607575126712, -0.08333333333333333, -0.3754137153642837, -0.22287011155447098, 0.02197242969335184, -0.46943556183033486, 0.17013576444714754, -0.4401108995089715, -0.060511804622415934, -0.46339658818759505, -0.3806732373116544, -0.20811350578428386, -0.08333333333333333, -0.3936743274272896, -0.26704152532734476, 0.17930164393444603, -0.38673395145220835, -0.24467010216980903, 0.229983694906447, -0.10442956491275401, -0.09899849532200579, -0.21891817079910006, -0.2587029033405294, -0.17151402174141048, 0.05128893625414848, 0.21590917012239624, -0.46090129003437474, -0.029116966514257752, 0.2260024384029373, -0.19174132212391717, 0.269801599020346, -0.3381142929843701, -0.17453637368355043, -0.2547946274539438, 0.048029472340662585, -0.06990887234372957, 0.004104825611198149, -0.4100032305416026, 0.1947368130200597, -0.2068774694534604, -0.35131327395675854, 0.0258240587331108, 0.21375834318105655, -0.06682227162093285, -0.31739838895771294, -0.07112270125228855, -0.23368822408688436, 0.000346749376120919, -0.48106582735854575, 0.17486263685881667, -0.335725278164776, -0.42881610421686567, -0.3935871917055833, -0.4331521094824822, 0.023192923511634028, -0.4867783497685747, -0.27260892280991394, -0.4792964367451955, -0.3443873992635885, -0.4398714403028833, -0.038556073031863855, -0.3243054099020576, -0.42388113600933314, -0.20635983042562903, -0.49726443621006977, -0.29310319038914784, -0.4675782227124168, -0.39568785477806206, -0.10778719575151594, 0.0471133702624124], 'char_orbit_index': 6, 'conrey_index': 1145, 'dual_conrey_index': 79, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 2, 'embedding_root_imag': 0.8660254037844386, 'embedding_root_real': 0.5, 'hecke_orbit': 9, 'hecke_orbit_code': 36029140649903354, 'label': '1274.2.f.i.1145.1', 'level': 1274, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 5096, 'analytic_conductor': 10.172941217511122, 'char_conductor': 7, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 3, 'char_parity': 1, 'char_values': [1274, 3, [885, 197], [1, 3]], 'conrey_index': 79, 'cusp_dim': 360, 'dim': 80, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 11], 'hecke_orbit_code': 343630939386, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 6, 8, 8, 8], 'label': '1274.2.f', 'level': 1274, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 13], 'level_radical': 182, 'mf_dim': 424, 'mf_new_dim': 80, 'num_forms': 27, 'prim_orbit_index': 3, 'relative_dim': 40, 'sturm_bound': 392, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 'traces': [80, 0, 0, -40, 0, 0, 0, 0, -36, 4, 4, 0, 4, 0, -32, -40, 6, 0, -4, 0, 0, 20, 8, 0, -56, -6, 12, 0, -12, -6, 12, 0, -28, 0, 0, 72, -8, 10, 0, 4, 32, 0, -40, 4, 40, -4, 12, 0, 0, -48, -6, -2, -30, -12, 40, 0, 0, 24, 8, 16, 2, -4, 0, 80, -8, 16, 8, 6, 56, 0, 56, 0, 4, -8, 16, 8, 0, 0, 12, 0, -40, -8, 24, 0, 0, -12, 16, -10, -28, -28, 0, -16, -76, -22, -64, 0, -32, 0, -136, -56, 52, 32, 0, 12, 0, 8, 10, -6, 12, -24, 56, 0, 104, 104, -36, 6, 6, -52, 0, 12, -46, -12, -24, 12, 24, 0, 104, 0, 74, 0, -20, 56, 0, -132, 108, 0, 108, -44, -128, 0, -232, 10, 0, -36, -16, -48, 0, 16, 0, 8, 12, 10, -116, 0, -216, 0, -46, -12, -24, -8, 0, 0, -12, -16, 40, 12, 56, 0, 80, -66, -96, 20, 22, 56, 0, -8, 4, 40, 20, 40, -84, 0, 264, -4, -38, -48, 28, -24, 0, 176, 112, 0, -12, -24, 4, 0, 128, -14, -40, 24, 44, -56, 0, 12, -20, -4, 32, -2, 60, 0, 64, -30, -44, -64, 48, 24, 0, 72, -20, -20, 2, 64, 16, 0, 84, 8, 100, 0, 12, -16, 0, -48, 142, -18, 126, 8, 120, 0, -224, 16, -48, 56, -18, -4, 0, -128, -40, 2, 96, -18, -20, 0, -144, 124, -44, -40, 4, -32, 0, 16, 86, -24, 124, 16, -72, 0, -200, 8, -26, 38, -20, -12, 0, -16, -60, -28, -30, -56, -224, 0, -376, -110, 16, -28, 80, 4, 0, 0, 6, -12, 32, 4, 24, 0, 0, -8, -88, 134, -8, -32, 0, 100, -36, -4, -36, -16, 8, 0, 96, 44, 56, 0, -36, 32, 0, -24, 56, 48, 120, 0, 96, 0, -80, -40, -14, 66, 24, 16, 0, -80, -40, -12, -184, 52, 0, 0, 140, 0, 16, 0, 44, -12, 0, 24, 160, -96, -96, 16, 24, 0, 0, -10, -28, 56, -54, 56, 0, -136, -156, 14, -114, 60, -8, 0, -104, 64, -136, 8, 92, -112, 0, 152, 74, 62, 288, -22, 28, 0, 88, -64, 20, -20, 72, 0, 0, 40, 26, 16, 202, -16, -48, 0, 60, 136, 0, 68, -40, 104, 0, 112, 16, -56, 10, 52, 88, 0, -88, 32, 52, -68, 88, 0, 0, -472, 308, -6, 26, -24, 104, 0, 56, 72, 48, -4, -104, -100, 0, -20, -40, 64, 44, -6, -164, 0, 552, 12, -40, 16, -28, 48, 0, 32, 80, -28, -120, 62, -48, 0, -8, -48, -20, -52, -132, 32, 0, -208, -100, 0, -102, -36, 16, 0, -248, 6, 102, -40, 96, -12, 0, -160, -224, 26, 64, -60, -272, 0, 36, -74, -64, -6, 16, 48, 0, 92, -168, -36, -116, -12, 136, 0, 384, -24, 78, 14, -112, -24, 0, -48, -128, -12, 120, -88, 8, 0, -88, 40, 0, -52, -20, 188, 0, 0, -76, -16, -128, 74, -180, 0, -288, 0, 4, -72, -66, 40, 0, 256, -180, -28, -220, 48, 192, 0, -8, -28, -68, 66, -6, -64, 0, -216, -140, 94, -180, 0, -248, 0, 568, 108, -6, 22, -32, 88, 0, 280, 154, 64, -64, -154, -32, 0, 56, -24, 12, 116, 8, 184, 0, -20, 94, 136, -172, 0, -72, 0, -440, -36, 72, -80, 84, 32, 0, -112, 112, 24, -34, 80, 8, 0, 448, -72, 72, -8, -48, -80, 0, 0, 28, -8, -196, 8, -36, 0, -136, 12, 72, 184, -44, -20, 0, 360, -20, 58, -12, 26, 272, 0, 0, 132, 76, 108, -4, -56, 0, 0, -144, -32, -148, -46, 168, 0, 208, -12, 26, -82, -108, 48, 0, -316, -88, 4, 122, -48, -256, 0, -168, -106, 4, 0, 50, 28, 0, 24, -8, 66, -56, -16, 136, 0, 412, 40, -40, 96, 40, -24, 0, 236, -84, -28, -336, -44, 0, 0, 168, -104, 94, -40, -110, 80, 0, 132, -224, -72, -92, -96, 184, 0, 88, 20, -14, -216, -48, -44, 0, 24, 8, -28, -104, 92, 152, 0, -80, 6, -48, 4, -54, 0, 0, -8, -164, -32, -44, 40, 136, 0, 0, 20, 72, -38, 28, -80, 0, 16, 296, 42, 382, 236, 40, 0, -516, -68, 46, -132, -4, 104, 0, 8, -78, 40, 128, -38, 48, 0, -392, -48, -24, -72, 152, -56, 0, -20, -44, 12, 188, -20, 188, 0, 428, -116, 112, -88, 40, -8, 0, -224, 292, -48, -48, 0, 112, 0, 444, -12, 140, 68, 100, 48, 0, -424, 156, -2, 30, 48, -8, 0, -176, -40, -68, -64, -92, -64, 0, 28, -6, 74, 348, -40, -264, 0, 328, 24, 72, -104, -216, -88, 0, -112, -136, 28, -206, -22, -24, 0, -432, -116, -8, -6, -80, -8, 0, 40, 180, -28, 84, -4, 184, 0, -400, 32, -34, -196, 56, 4, 0, 240, -236, -30, -96, -56, -8, 0, 308, -140, -80, -32, 0, 60, 0, 60, -332, -88, -44, -44, -112, 0, -264, -64, 78, 16, -42, -96, 0, 8, 176, -12, -264, -104, -212, 0, 776, 244, 20, -36, -24, 88, 0, 40, -172, -4, 212, -20, 88, 0, -520, 2, -144, 92, 48, -128, 0, 336, 100, -8, -30, 96, -240, 0, -64, 36, -12, -42, -26, 56, 0, -16, 128, 18, -92, 100, 48, 0, 96, 0, 104, -32, -28, -24, 0, 248, -96, 8, -56, -100, 0, 0, 472, -18, -88, 24, 4, 0, 0, -284, 116, 76, 180, -18, -112, 0, 140, 126, -24, -56, 40, -16, 0, -320, 144, -60, -48, 146, 224, 0, 476, -36, 8, 112, 212, -68, 0, -32, -154, -16, 390, -48, -264, 0, 56, 56, -16, 200, 72, 36, 0, 208, -64, 2, -60, -52, 248, 0, -200, 184, 8, 64, -12, -72, 0, 80, 48, 16, -248, 2, -272, 0, -616, 96, -122, 84, -124, 36], '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: 46648845
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1145, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36029140649903354, 'source_is_minimal': False, 'source_label': '1274.2.f.i.1145.1', 'source_level': 1274, 'target_conrey_index': 1145, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36029140649903354, 'target_is_minimal': False, 'target_label': '1274.2.f.i.1145.1', 'target_level': 1274, 'twist_class_label': '182.2.a.d.1.1', 'twist_class_level': 182, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46648846
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1145, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36029140649903354, 'source_is_minimal': False, 'source_label': '1274.2.f.i.1145.1', 'source_level': 1274, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36029140649903354, 'target_is_minimal': False, 'target_label': '1274.2.f.i.79.1', 'target_level': 1274, 'twist_class_label': '182.2.a.d.1.1', 'twist_class_level': 182, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46648847
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1145, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36029140649903354, 'source_is_minimal': False, 'source_label': '1274.2.f.i.1145.1', 'source_level': 1274, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915666102, 'target_is_minimal': True, 'target_label': '182.2.a.d.1.1', 'target_level': 182, 'twist_class_label': '182.2.a.d.1.1', 'twist_class_level': 182, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46648848
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1145, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36029140649903354, 'source_is_minimal': False, 'source_label': '1274.2.f.i.1145.1', 'source_level': 1274, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679890170, 'target_is_minimal': False, 'target_label': '1274.2.a.j.1.1', 'target_level': 1274, 'twist_class_label': '182.2.a.d.1.1', 'twist_class_level': 182, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46648849
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1145, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36029140649903354, 'source_is_minimal': False, 'source_label': '1274.2.f.i.1145.1', 'source_level': 1274, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511142513050874, 'target_is_minimal': False, 'target_label': '1274.2.f.d.79.1', 'target_level': 1274, 'twist_class_label': '182.2.a.d.1.1', 'twist_class_level': 182, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46648850
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1145, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36029140649903354, 'source_is_minimal': False, 'source_label': '1274.2.f.i.1145.1', 'source_level': 1274, 'target_conrey_index': 1145, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511142513050874, 'target_is_minimal': False, 'target_label': '1274.2.f.d.1145.1', 'target_level': 1274, 'twist_class_label': '182.2.a.d.1.1', 'twist_class_level': 182, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 46648851
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1145, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36029140649903354, 'source_is_minimal': False, 'source_label': '1274.2.f.i.1145.1', 'source_level': 1274, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998170408550, 'target_is_minimal': False, 'target_label': '1638.2.a.f.1.1', 'target_level': 1638, 'twist_class_label': '182.2.a.d.1.1', 'twist_class_level': 182, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 46648852
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1145, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36029140649903354, 'source_is_minimal': False, 'source_label': '1274.2.f.i.1145.1', 'source_level': 1274, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915667376, 'target_is_minimal': False, 'target_label': '1456.2.a.d.1.1', 'target_level': 1456, 'twist_class_label': '182.2.a.d.1.1', 'twist_class_level': 182, 'twisting_char_label': '28.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46648853
    {'conductor': 35, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1145, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36029140649903354, 'source_is_minimal': False, 'source_label': '1274.2.f.i.1145.1', 'source_level': 1274, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288299974, 'target_is_minimal': False, 'target_label': '4550.2.a.c.1.1', 'target_level': 4550, 'twist_class_label': '182.2.a.d.1.1', 'twist_class_level': 182, 'twisting_char_label': '35.24', 'twisting_conrey_index': 24, 'weight': 2}
  • id: 46648854
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1145, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36029140649903354, 'source_is_minimal': False, 'source_label': '1274.2.f.i.1145.1', 'source_level': 1274, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 103582791463081664, 'target_is_minimal': False, 'target_label': '5824.2.a.x.1.1', 'target_level': 5824, 'twist_class_label': '182.2.a.d.1.1', 'twist_class_level': 182, 'twisting_char_label': '56.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46648855
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1145, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36029140649903354, 'source_is_minimal': False, 'source_label': '1274.2.f.i.1145.1', 'source_level': 1274, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996307265216, 'target_is_minimal': False, 'target_label': '5824.2.a.k.1.1', 'target_level': 5824, 'twist_class_label': '182.2.a.d.1.1', 'twist_class_level': 182, 'twisting_char_label': '56.45', 'twisting_conrey_index': 45, 'weight': 2}
  • id: 46648856
    {'conductor': 91, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 1145, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36029140649903354, 'source_is_minimal': False, 'source_label': '1274.2.f.i.1145.1', 'source_level': 1274, 'target_conrey_index': 337, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014604701468990, 'target_is_minimal': False, 'target_label': '2366.2.d.e.337.1', 'target_level': 2366, 'twist_class_label': '182.2.a.d.1.1', 'twist_class_level': 182, 'twisting_char_label': '91.31', 'twisting_conrey_index': 31, 'weight': 2}
  • id: 46648857
    {'conductor': 91, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1145, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36029140649903354, 'source_is_minimal': False, 'source_label': '1274.2.f.i.1145.1', 'source_level': 1274, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398543038782, 'target_is_minimal': False, 'target_label': '2366.2.a.e.1.1', 'target_level': 2366, 'twist_class_label': '182.2.a.d.1.1', 'twist_class_level': 182, 'twisting_char_label': '91.38', 'twisting_conrey_index': 38, 'weight': 2}
  • id: 46648858
    {'conductor': 91, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 1145, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36029140649903354, 'source_is_minimal': False, 'source_label': '1274.2.f.i.1145.1', 'source_level': 1274, 'target_conrey_index': 337, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014604701468990, 'target_is_minimal': False, 'target_label': '2366.2.d.e.337.2', 'target_level': 2366, 'twist_class_label': '182.2.a.d.1.1', 'twist_class_level': 182, 'twisting_char_label': '91.73', 'twisting_conrey_index': 73, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1816475
    {'charpoly_factorization': [[[1, 1, 1], 1]], 'hecke_orbit_code': 36029140649903354, 'p': 2}
  • id: 1816476
    {'charpoly_factorization': [[[1, -1, 1], 1]], 'hecke_orbit_code': 36029140649903354, 'p': 3}
  • id: 1816477
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36029140649903354, 'p': 5}
  • id: 1816478
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36029140649903354, 'p': 7}
  • id: 1816479
    {'charpoly_factorization': [[[9, -3, 1], 1]], 'hecke_orbit_code': 36029140649903354, 'p': 11}
  • id: 1816480
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 36029140649903354, 'p': 13}
  • id: 1816481
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36029140649903354, 'p': 17}
  • id: 1816482
    {'charpoly_factorization': [[[4, -2, 1], 1]], 'hecke_orbit_code': 36029140649903354, 'p': 19}
  • id: 1816483
    {'charpoly_factorization': [[[9, -3, 1], 1]], 'hecke_orbit_code': 36029140649903354, 'p': 23}
  • id: 1816484
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36029140649903354, 'p': 29}
  • id: 1816485
    {'charpoly_factorization': [[[25, -5, 1], 1]], 'hecke_orbit_code': 36029140649903354, 'p': 31}
  • id: 1816486
    {'charpoly_factorization': [[[49, -7, 1], 1]], 'hecke_orbit_code': 36029140649903354, 'p': 37}
  • id: 1816487
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 36029140649903354, 'p': 41}
  • id: 1816488
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 36029140649903354, 'p': 43}
  • id: 1816489
    {'charpoly_factorization': [[[9, 3, 1], 1]], 'hecke_orbit_code': 36029140649903354, 'p': 47}
  • id: 1816490
    {'charpoly_factorization': [[[144, -12, 1], 1]], 'hecke_orbit_code': 36029140649903354, 'p': 53}
  • id: 1816491
    {'charpoly_factorization': [[[36, -6, 1], 1]], 'hecke_orbit_code': 36029140649903354, 'p': 59}
  • id: 1816492
    {'charpoly_factorization': [[[1, 1, 1], 1]], 'hecke_orbit_code': 36029140649903354, 'p': 61}
  • id: 1816493
    {'charpoly_factorization': [[[25, 5, 1], 1]], 'hecke_orbit_code': 36029140649903354, 'p': 67}
  • id: 1816494
    {'charpoly_factorization': [[[-12, 1], 2]], 'hecke_orbit_code': 36029140649903354, 'p': 71}
  • id: 1816495
    {'charpoly_factorization': [[[121, -11, 1], 1]], 'hecke_orbit_code': 36029140649903354, 'p': 73}
  • id: 1816496
    {'charpoly_factorization': [[[1, -1, 1], 1]], 'hecke_orbit_code': 36029140649903354, 'p': 79}
  • id: 1816497
    {'charpoly_factorization': [[[12, 1], 2]], 'hecke_orbit_code': 36029140649903354, 'p': 83}
  • id: 1816498
    {'charpoly_factorization': [[[324, 18, 1], 1]], 'hecke_orbit_code': 36029140649903354, 'p': 89}
  • id: 1816499
    {'charpoly_factorization': [[[17, 1], 2]], 'hecke_orbit_code': 36029140649903354, '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': 6, 'hecke_orbit': 9, 'label': '1274.2.f.i', 'level': 1274, '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: 52072117
    {'hecke_orbit_code': 36029140649903354, 'n': 1, 'trace_an': 2}
  • id: 52072118
    {'hecke_orbit_code': 36029140649903354, 'n': 2, 'trace_an': -1}
  • id: 52072119
    {'hecke_orbit_code': 36029140649903354, 'n': 3, 'trace_an': 1}
  • id: 52072120
    {'hecke_orbit_code': 36029140649903354, 'n': 4, 'trace_an': -1}
  • id: 52072121
    {'hecke_orbit_code': 36029140649903354, 'n': 5, 'trace_an': 0}
  • id: 52072122
    {'hecke_orbit_code': 36029140649903354, 'n': 6, 'trace_an': -2}
  • id: 52072123
    {'hecke_orbit_code': 36029140649903354, 'n': 7, 'trace_an': 0}
  • id: 52072124
    {'hecke_orbit_code': 36029140649903354, 'n': 8, 'trace_an': 2}
  • id: 52072125
    {'hecke_orbit_code': 36029140649903354, 'n': 9, 'trace_an': 2}
  • id: 52072126
    {'hecke_orbit_code': 36029140649903354, 'n': 10, 'trace_an': 0}
  • id: 52072127
    {'hecke_orbit_code': 36029140649903354, 'n': 11, 'trace_an': 3}
  • id: 52072128
    {'hecke_orbit_code': 36029140649903354, 'n': 12, 'trace_an': 1}
  • id: 52072129
    {'hecke_orbit_code': 36029140649903354, 'n': 13, 'trace_an': -2}
  • id: 52072130
    {'hecke_orbit_code': 36029140649903354, 'n': 14, 'trace_an': 0}
  • id: 52072131
    {'hecke_orbit_code': 36029140649903354, 'n': 15, 'trace_an': 0}
  • id: 52072132
    {'hecke_orbit_code': 36029140649903354, 'n': 16, 'trace_an': -1}
  • id: 52072133
    {'hecke_orbit_code': 36029140649903354, 'n': 17, 'trace_an': 0}
  • id: 52072134
    {'hecke_orbit_code': 36029140649903354, 'n': 18, 'trace_an': 2}
  • id: 52072135
    {'hecke_orbit_code': 36029140649903354, 'n': 19, 'trace_an': 2}
  • id: 52072136
    {'hecke_orbit_code': 36029140649903354, 'n': 20, 'trace_an': 0}
  • id: 52072137
    {'hecke_orbit_code': 36029140649903354, 'n': 21, 'trace_an': 0}
  • id: 52072138
    {'hecke_orbit_code': 36029140649903354, 'n': 22, 'trace_an': -6}
  • id: 52072139
    {'hecke_orbit_code': 36029140649903354, 'n': 23, 'trace_an': 3}
  • id: 52072140
    {'hecke_orbit_code': 36029140649903354, 'n': 24, 'trace_an': 1}
  • id: 52072141
    {'hecke_orbit_code': 36029140649903354, 'n': 25, 'trace_an': 5}
  • id: 52072142
    {'hecke_orbit_code': 36029140649903354, 'n': 26, 'trace_an': 1}
  • id: 52072143
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  • id: 52072144
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  • id: 52072145
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  • id: 52072146
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  • id: 52072147
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  • id: 52072148
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  • id: 52072149
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  • id: 52072150
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  • id: 52072151
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  • id: 52072152
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  • id: 52072153
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  • id: 52072154
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  • id: 52072155
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  • id: 52072156
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  • id: 52072157
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  • id: 52072158
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  • id: 52072159
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  • id: 52072160
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  • id: 52072161
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  • id: 52072162
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  • id: 52072163
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  • id: 52072164
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  • id: 52072165
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  • id: 52072166
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  • id: 52072167
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  • id: 52072168
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  • id: 52072169
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  • id: 52072170
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  • id: 52072171
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  • id: 52072172
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  • id: 52072173
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  • id: 52072174
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  • id: 52072175
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  • id: 52072176
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  • id: 52072177
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  • id: 52072178
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  • id: 52072179
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  • id: 52072180
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  • id: 52072181
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  • id: 52072182
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  • id: 52072183
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  • id: 52072184
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  • id: 52072185
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  • id: 52072186
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  • id: 52072187
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  • id: 52072188
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  • id: 52072189
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  • id: 52072190
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  • id: 52072191
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  • id: 52072192
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  • id: 52072193
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  • id: 52072194
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  • id: 52072195
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  • id: 52072196
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  • id: 52072197
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  • id: 52072198
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  • id: 52072199
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  • id: 52072200
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  • id: 52072201
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  • id: 52072202
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  • id: 52072203
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  • id: 52072204
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  • id: 52072205
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  • id: 52072206
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  • id: 52072207
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  • id: 52072208
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  • id: 52072209
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  • id: 52072210
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  • id: 52072211
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  • id: 52072212
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  • id: 52072213
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  • id: 52072214
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  • id: 52072215
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  • id: 52072216
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  • id: 52072217
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  • id: 52072218
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  • id: 52072219
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  • id: 52072220
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  • id: 52072221
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  • id: 52072222
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  • id: 52072223
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  • id: 52072224
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  • id: 52072225
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  • id: 52072226
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  • id: 52072227
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  • id: 52072228
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  • id: 52072229
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  • id: 52072230
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  • id: 52072231
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  • id: 52072232
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  • id: 52072233
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  • id: 52072234
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  • id: 52072235
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  • id: 52072236
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  • id: 52072237
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  • id: 52072238
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  • id: 52072239
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  • id: 52072240
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  • id: 52072241
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  • id: 52072242
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  • id: 52072243
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  • id: 52072244
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  • id: 52072245
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  • id: 52072246
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  • id: 52072247
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  • id: 52072248
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  • id: 52072249
    {'hecke_orbit_code': 36029140649903354, 'n': 243, 'trace_an': 16}
  • id: 52072250
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  • id: 52072251
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  • id: 52072252
    {'hecke_orbit_code': 36029140649903354, 'n': 257, 'trace_an': 24}
  • id: 52072253
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  • id: 52072254
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  • id: 52072255
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  • id: 52072256
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  • id: 52072257
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  • id: 52072258
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  • id: 52072259
    {'hecke_orbit_code': 36029140649903354, 'n': 289, 'trace_an': 17}
  • id: 52072260
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  • id: 52072261
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  • id: 52072262
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  • id: 52072263
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  • id: 52072264
    {'hecke_orbit_code': 36029140649903354, 'n': 317, 'trace_an': 3}
  • id: 52072265
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  • id: 52072266
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  • id: 52072267
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  • id: 52072268
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  • id: 52072269
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  • id: 52072270
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  • id: 52072271
    {'hecke_orbit_code': 36029140649903354, 'n': 359, 'trace_an': 24}
  • id: 52072272
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  • id: 52072273
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  • id: 52072274
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  • id: 52072275
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  • id: 52072276
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  • id: 52072277
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  • id: 52072278
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  • id: 52072279
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  • id: 52072280
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  • id: 52072281
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  • id: 52072282
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  • id: 52072283
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  • id: 52072284
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  • id: 52072285
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  • id: 52072286
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  • id: 52072287
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  • id: 52072288
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  • id: 52072289
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  • id: 52072290
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  • id: 52072291
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  • id: 52072292
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  • id: 52072293
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  • id: 52072294
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  • id: 52072295
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  • id: 52072296
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  • id: 52072297
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  • id: 52072298
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  • id: 52072299
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  • id: 52072300
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  • id: 52072301
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  • id: 52072302
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  • id: 52072303
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  • id: 52072304
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  • id: 52072305
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  • id: 52072306
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  • id: 52072307
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  • id: 52072308
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  • id: 52072309
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  • id: 52072310
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  • id: 52072311
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  • id: 52072312
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  • id: 52072313
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  • id: 52072314
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  • id: 52072315
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  • id: 52072316
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  • id: 52072317
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  • id: 52072318
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  • id: 52072319
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  • id: 52072320
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  • id: 52072321
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  • id: 52072322
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  • id: 52072323
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  • id: 52072324
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  • id: 52072325
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  • id: 52072326
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  • id: 52072327
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  • id: 52072328
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  • id: 52072329
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  • id: 52072330
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  • id: 52072331
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  • id: 52072332
    {'hecke_orbit_code': 36029140649903354, 'n': 727, 'trace_an': -52}
  • id: 52072333
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  • id: 52072334
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  • id: 52072335
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  • id: 52072336
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  • id: 52072337
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  • id: 52072338
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  • id: 52072339
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  • id: 52072340
    {'hecke_orbit_code': 36029140649903354, 'n': 769, 'trace_an': 26}
  • id: 52072341
    {'hecke_orbit_code': 36029140649903354, 'n': 773, 'trace_an': -54}
  • id: 52072342
    {'hecke_orbit_code': 36029140649903354, 'n': 787, 'trace_an': 32}
  • id: 52072343
    {'hecke_orbit_code': 36029140649903354, 'n': 797, 'trace_an': -18}
  • id: 52072344
    {'hecke_orbit_code': 36029140649903354, 'n': 809, 'trace_an': -30}
  • id: 52072345
    {'hecke_orbit_code': 36029140649903354, 'n': 811, 'trace_an': -40}
  • id: 52072346
    {'hecke_orbit_code': 36029140649903354, 'n': 821, 'trace_an': 6}
  • id: 52072347
    {'hecke_orbit_code': 36029140649903354, 'n': 823, 'trace_an': -41}
  • id: 52072348
    {'hecke_orbit_code': 36029140649903354, 'n': 827, 'trace_an': -72}
  • id: 52072349
    {'hecke_orbit_code': 36029140649903354, 'n': 829, 'trace_an': 38}
  • id: 52072350
    {'hecke_orbit_code': 36029140649903354, 'n': 839, 'trace_an': 42}
  • id: 52072351
    {'hecke_orbit_code': 36029140649903354, 'n': 841, 'trace_an': -58}
  • id: 52072352
    {'hecke_orbit_code': 36029140649903354, 'n': 853, 'trace_an': -88}
  • id: 52072353
    {'hecke_orbit_code': 36029140649903354, 'n': 857, 'trace_an': 54}
  • id: 52072354
    {'hecke_orbit_code': 36029140649903354, 'n': 859, 'trace_an': 23}
  • id: 52072355
    {'hecke_orbit_code': 36029140649903354, 'n': 863, 'trace_an': -12}
  • id: 52072356
    {'hecke_orbit_code': 36029140649903354, 'n': 877, 'trace_an': 13}
  • id: 52072357
    {'hecke_orbit_code': 36029140649903354, 'n': 881, 'trace_an': -12}
  • id: 52072358
    {'hecke_orbit_code': 36029140649903354, 'n': 883, 'trace_an': 4}
  • id: 52072359
    {'hecke_orbit_code': 36029140649903354, 'n': 887, 'trace_an': 42}
  • id: 52072360
    {'hecke_orbit_code': 36029140649903354, 'n': 907, 'trace_an': -26}
  • id: 52072361
    {'hecke_orbit_code': 36029140649903354, 'n': 911, 'trace_an': 24}
  • id: 52072362
    {'hecke_orbit_code': 36029140649903354, 'n': 919, 'trace_an': 25}
  • id: 52072363
    {'hecke_orbit_code': 36029140649903354, 'n': 929, 'trace_an': -9}
  • id: 52072364
    {'hecke_orbit_code': 36029140649903354, 'n': 937, 'trace_an': 104}
  • id: 52072365
    {'hecke_orbit_code': 36029140649903354, 'n': 941, 'trace_an': 30}
  • id: 52072366
    {'hecke_orbit_code': 36029140649903354, 'n': 947, 'trace_an': -48}
  • id: 52072367
    {'hecke_orbit_code': 36029140649903354, 'n': 953, 'trace_an': -84}
  • id: 52072368
    {'hecke_orbit_code': 36029140649903354, 'n': 961, 'trace_an': 6}
  • id: 52072369
    {'hecke_orbit_code': 36029140649903354, 'n': 967, 'trace_an': -44}
  • id: 52072370
    {'hecke_orbit_code': 36029140649903354, 'n': 971, 'trace_an': -21}
  • id: 52072371
    {'hecke_orbit_code': 36029140649903354, 'n': 977, 'trace_an': -18}
  • id: 52072372
    {'hecke_orbit_code': 36029140649903354, 'n': 983, 'trace_an': 0}
  • id: 52072373
    {'hecke_orbit_code': 36029140649903354, 'n': 991, 'trace_an': -11}
  • id: 52072374
    {'hecke_orbit_code': 36029140649903354, 'n': 997, 'trace_an': -37}