Embedded newform data - 3042.2.b.n.1351.3

Formats: - HTML - YAML - JSON - 2025-09-09T23:39:20.596162

• 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': 12168, 'analytic_conductor': 24.29049229487349, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 13, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [3042, 2, [677, 847], [2, 1]], 'cm_discs': [], 'conrey_index': 1351, 'dim': 6, 'field_disc': -153664, 'field_disc_factorization': [[-1, 1], [2, 6], [7, 4]], 'field_poly': [1, 0, 6, 0, 5, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [64, 0, 96, 0, 20, 0, 1]], [7, [64, 0, 80, 0, 24, 0, 1]], [17, [97, -22, -5, 1]], [23, [56, -28, 0, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58546863908850658, 'hecke_ring_generator_nbound': 11, '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, 13, 2, 1, 2, 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': '3042.2.b.n', 'level': 3042, '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, 3, 13], 'level_radical': 78, 'minimal_twist': '338.2.a.g', 'nf_label': '6.0.153664.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{5}q^{2}-q^{4}+2\\beta _{1}q^{5}+(-2\\beta _{3}-2\\beta _{5})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3042.2.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 488456604185872048, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.514', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '163.237', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7018.993', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.514', 'prec': 17}, 'traces': [6, 0, 0, -6, 0, 0, 0, 0, 0, -4, 0, 0, 0, 8, 0, 6, 10, 0, 0, 0, 0, 6, 0, 0, -10, 0, 0, 0, 20, 0, 0, 0, 0, 0, 24, 0, 0, 2, 0, 4, 0, 0, -22, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 32, -8, 0, 0, 0, 0, -8, -32, 0, -6, 0, 0, 0, -10, 0, 0, 0, 0, 0, 28, 0, 0, -36, 0, -36, 0, 0, -14, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, -4, -36, 0, 0, 0, 0, 10, 12, 0, -60, 0, 0, 0, -2, 0, 0, 0, 0, 0, -6, 0, 0, -20, 0, -6, 0, 0, 32, 0, 0, 0, 0, 0, -36, 0, 0, 0, 14, 0, 44, 42, 0, 0, 0, 0, 62, -24, 0, 24, 0, 0, 0, -2, 0, 0, 0, 0, 0, -2, 0, 0, -40, 0, 112, 0, 0, -4, 0, 0, 0, 0, 0, 2, 0, 0, 0, -72, 0, 22, -28, 0, 0, 0, 0, 50, 74, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 46, 0, 6, 0, 0, -68, 0, 0, 0, 0, 0, -28, 0, 0, 0, 40, 0, -50, 0, 0, 0, 0, 0, 24, 0, 0, -32, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 62, 0, -40, 0, 0, 60, 0, 0, 0, 0, 0, 8, 0, 0, 0, 32, 0, 24, -38, 0, 0, 0, 0, 6, -58, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, -88, 0, 0, 10, 0, 14, 0, 0, -28, 0, 0, 0, 0, 0, -18, 0, 0, 0, -28, 0, 36, 24, 0, 0, 0, 0, -88, -28, 0, 20, 0, 0, 0, 32, 0, 0, 0, 0, 0, 36, 0, 0, -12, 0, 50, 0, 0, 36, 0, 0, 0, 0, 0, -56, 0, 0, 0, 58, 0, 14, -32, 0, 0, 0, 0, -84, -56, 0, 58, 0, 0, 0, 32, 0, 0, 0, 0, 0, -32, 0, 0, 24, 0, 6, 0, 0, 16, 0, 0, 0, 0, 0, 48, 0, 0, 0, 8, 0, 72, 0, 0, 0, 0, 0, -24, 66, 0, 4, 0, 0, 0, 36, 0, 0, 0, 0, 0, 18, 0, 0, -36, 0, -28, 0, 0, -24, 0, 0, 0, 0, 0, -10, 0, 0, 0, -12, 0, -48, 0, 0, 0, 0, 0, 60, 8, 0, -36, 0, 0, 0, 16, 0, 0, 0, 0, 0, -54, 0, 0, 2, 0, -60, 0, 0, -74, 0, 0, 0, 0, 0, 124, 0, 0, 0, 42, 0, -88, -40, 0, 0, 0, 0, 0, 6, 0, 14, 0, 0, 0, -64, 0, 0, 0, 0, 0, 20, 0, 0, 90, 0, -56, 0, 0, 6, 0, 0, 0, 0, 0, 20, 0, 0, 0, -4, 0, -32, 152, 0, 0, 0, 0, 4, 30, 0, -60, 0, 0, 0, -88, 0, 0, 0, 0, 0, 12, 0, 0, -28, 0, 36, 0, 0, 96, 0, 0, 0, 0, 0, 4, 0, 0, 0, -58, 0, 22, -14, 0, 0, 0, 0, -26, 0, 0, -44, 0, 0, 0, -42, 0, 0, 0, 0, 0, -32, 0, 0, -56, 0, -38, 0, 0, -10, 0, 0, 0, 0, 0, -62, 0, 0, 0, 24, 0, -62, 80, 0, 0, 0, 0, -24, -22, 0, 138, 0, 0, 0, -112, 0, 0, 0, 0, 0, 44, 0, 0, 2, 0, -28, 0, 0, 20, 0, 0, 0, 0, 0, 40, 0, 0, 0, -64, 0, -114, 36, 0, 0, 0, 0, 28, 2, 0, 80, 0, 0, 0, -30, 0, 0, 0, 0, 0, 40, 0, 0, -48, 0, -34, 0, 0, -112, 0, 0, 0, 0, 0, 76, 0, 0, 0, -36, 0, 4, -150, 0, 0, 0, 0, -76, 188, 0, 48, 0, 0, 0, -56, 0, 0, 0, 0, 0, 118, 0, 0, 64, 0, -2, 0, 0, 112, 0, 0, 0, 0, 0, 86, 0, 0, 0, 104, 0, -164, 72, 0, 0, 0, 0, -168, -64, 0, -22, 0, 0, 0, 28, 0, 0, 0, 0, 0, 68, 0, 0, 28, 0, -56, 0, 0, 46, 0, 0, 0, 0, 0, -50, 0, 0, 0, -74, 0, -112, -20, 0, 0, 0, 0, -20, -108, 0, -52, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 144, 0, 0, 0, 0, 0, 72, 0, 0, 0, -72, 0, 16, -22, 0, 0, 0, 0, 0, 4, 0, 56, 0, 0, 0, 24, 0, 0, 0, 0, 0, -46, 0, 0, 42, 0, -52, 0, 0, -6, 0, 0, 0, 0, 0, 80, 0, 0, 0, -8, 0, 68, 112, 0, 0, 0, 0, 22, 44, 0, 0, 0, 0, 0, -194, 0, 0, 0, 0, 0, -64, 0, 0, -66, 0, 28, 0, 0, -84, 0, 0, 0, 0, 0, 80, 0, 0, 0, -66, 0, -56, -40, 0, 0, 0, 0, 42, 24, 0, 50, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, -70, 0, 46, 0, 0, 124, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 56, 80, 0, 0, 0, 0, 32, 70, 0, 50, 0, 0, 0, 56, 0, 0, 0, 0, 0, 20, 0, 0, -8, 0, 62, 0, 0, -28, 0, 0, 0, 0, 0, -86, 0, 0, 0, 100, 0, 40, -52, 0, 0, 0, 0, -12, 0, 0, -100, 0, 0, 0, -72, 0, 0, 0, 0, 0, -62, 0, 0, 72, 0, 62, 0, 0, 40, 0, 0, 0, 0, 0, 48, 0, 0, 0, -22, 0, -60, -78, 0, 0, 0, 0, -28, 112, 0, -22, 0, 0, 0, 180, 0, 0, 0, 0, 0, -178, 0, 0, -16, 0, -8, 0, 0, 20, 0, 0, 0, 0, 0, -240, 0, 0, 0, -56, 0, 68, -32, 0, 0, 0, 0, 116, 58, 0, -24, 0, 0, 0, 38, 0, 0, 0, 0, 0, -8, 0, 0, 148, 0, 80, 0, 0, -80, 0, 0, 0, 0, 0, -6, 0, 0, 0, 58, 0, 152, 24, 0, 0, 0, 0, 0, -200, 0, -84, 0, 0, 0, -8, 0, 0, 0, 0, 0, 2, 0, 0, -44, 0, -72, 0, 0, 32, 0, 0, 0, 0, 0, -148, 0, 0, 0, -158, 0, -92, 76, 0, 0, 0, 0, 18, 88, 0, -62, 0, 0, 0, 80, 0, 0, 0, 0, 0, -10, 0, 0, -110, 0, -76, 0, 0, -14, 0, 0, 0, 0, 0, 100, 0, 0, 0, 8, 0, 28, -40, 0, 0, 0, 0, 52, -64, 0, 80, 0, 0, 0, -40, 0, 0, 0, 0, 0, 224, 0, 0, -24, 0, 18, 0, 0, -56, 0, 0, 0, 0, 0, -124, 0, 0, 0, 32, 0, 168, 28, 0, 0, 0, 0, 118, -46, 0, -36, 0, 0, 0, -24, 0, 0, 0, 0, 0, -28, 0, 0, 112, 0, 138, 0, 0, -10, 0, 0, 0, 0, 0, 88, 0, 0, 0, 28, 0, 74, -102, 0, 0, 0, 0, -20, -2, 0, 88, 0, 0, 0, 28, 0, 0, 0, 0, 0, -40, 0, 0, -32, 0, -12, 0, 0, -96, 0, 0, 0, 0, 0, 112, 0, 0, 0, -96, 0, -214, -116, 0, 0, 0, 0, 76, -36, 0, 94, 0, 0, 0, -56, 0, 0, 0, 0, 0, 12, 0, 0, -204, 0, -10, 0, 0, -50, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, -36, 56, 0, 0, 0, 0, 136, -140, 0, -56, 0, 0, 0, -76, 0, 0, 0, 0, 0, 110, 0, 0, 70, 0, 56, 0, 0, -66, 0, 0, 0, 0, 0, 38, 0, 0, 0, 160, 0, 204, -58, 0, 0, 0, 0, -88, 28, 0, -14, 0, 0, 0, 32, 0, 0, 0, 0, 0, -48, 0, 0, -112, 0, -136, 0, 0, 8, 0, 0, 0, 0, 0, 84, 0, 0, 0, 56, 0, -120, -116, 0, 0, 0, 0, -58, 48, 0, -108, 0, 0, 0, -40, 0, 0, 0, 0, 0, 92, 0, 0, -32, 0, 150, 0, 0, 54, 0, 0, 0, 0, 0, 32, 0, 0, 0, 312, 0, 4, -34, 0, 0, 0, 0, -88, 32, 0, -32, 0, 0, 0, -28, 0, 0, 0, 0, 0, -24, 0, 0, 224, 0, -88, 0, 0, -6, 0, 0, 0, 0, 0, -96, 0, 0, 0, 128, 0, -16, 204, 0, 0, 0, 0, -56, -16, 0, 24, 0, 0, 0, 148, 0, 0, 0, 0, 0, 156, 0, 0, -136, 0, -48, 0, 0, -8, 0, 0, 0, 0, 0, -324, 0, 0, 0, -96, 0, 66, -8, 0, 0, 0, 0, 0, 44, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 134, 0, 0, 278, 0, 206, 0, 0, -68, 0, 0, 0, 0, 0, 24, 0, 0, 0, -66, 0, 156, -34, 0, 0, 0, 0, -4, -88, 0, 140, 0, 0, 0, 156, 0, 0, 0, 0, 0, 112, 0, 0, -36, 0, 134, 0, 0, -136, 0, 0, 0, 0, 0, -46, 0, 0, 0, -272, 0, 112, 46, 0, 0, 0, 0, 24, -18, 0, -80, 0, 0, 0, 128, 0, 0, 0, 0, 0, 36, 0, 0, -12, 0, 16, 0, 0, 28, 0, 0, 0, 0, 0, -56, 0, 0, 0, -58, 0, 24, -66, 0, 0, 0, 0, -176, -220, 0, -192, 0, 0, 0, -168, 0, 0, 0, 0, 0, 144, 0, 0, -44, 0, 10, 0, 0, -64, 0, 0, 0, 0, 0, 34, 0, 0, 0, 244, 0, 52, 12, 0, 0, 0, 0, 156, 34, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, -110, 0, 0, -104, 0, -76, 0, 0, -172, 0, 0, 0, 0, 0, -60, 0, 0, 0, -8, 0, -94, 304, 0, 0, 0, 0, 36, 52, 0, -96, 0, 0, 0, 154, 0, 0, 0, 0, 0, -232, 0, 0, -16, 0, -112, 0, 0, 92, 0, 0, 0, 0, 0, 80, 0, 0, 0, -96, 0, 236, 24, 0, 0, 0, 0, 98, 54, 0, 56, 0, 0, 0, 72, 0, 0, 0, 0, 0, -2, 0, 0, 144, 0, -36, 0, 0, 60, 0, 0, 0, 0, 0, -116, 0, 0, 0, 56, 0, 74, -40, 0, 0, 0, 0, -36, 56, 0, 12, 0, 0, 0, -48, 0, 0, 0, 0, 0, -296, 0, 0, 232, 0, -124, 0, 0, 60, 0, 0, 0, 0, 0, 40, 0, 0, 0, 272, 0, 112, -42, 0, 0, 0, 0, -42, -160, 0, 88, 0, 0, 0, 40, 0, 0, 0, 0, 0, 16, 0, 0, -30, 0, -56, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 80, -98, 0, 0, 0, 0, -14, -168, 0, -36, 0, 0, 0, 204, 0, 0, 0, 0, 0, -116, 0, 0, 64, 0, 28, 0, 0, 84, 0, 0, 0, 0, 0, 148, 0, 0, 0, -56, 0, 0, -84, 0, 0, 0, 0, 0, -20, 0, -134, 0, 0, 0, 110, 0, 0, 0, 0, 0, -90, 0, 0, -312, 0, 194, 0, 0, 56, 0, 0, 0, 0, 0, -196, 0, 0, 0, -112, 0, -6, 126, 0, 0, 0, 0, -50, 88, 0, -200, 0, 0, 0, -40, 0, 0, 0, 0, 0, 78, 0, 0, -16, 0, -20, 0, 0, -112, 0, 0, 0, 0, 0, -52, 0, 0, 0, -52, 0, -140, 4, 0, 0, 0, 0, -96, 172, 0, 32, 0, 0, 0, -152, 0, 0, 0, 0, 0, -76, 0, 0, -172, 0, 32, 0, 0, 82, 0, 0, 0, 0, 0, -4, 0, 0, 0, -30, 0, 88, -76, 0, 0, 0, 0, 60, -72, 0, 284, 0, 0, 0, -50, 0, 0, 0, 0, 0, 32, 0, 0, 88, 0, -104, 0, 0, -26, 0, 0, 0, 0, 0, 80, 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, -0.7071067811865476], [0.0, 0.0], [-0.5, 0.0], [0.0, 1.1153324641872022], [0.0, 0.0], [0.0, -0.6062079473993771], [0.0, 0.3535533905932738], [0.0, 0.0], [0.7886591487042729, 0.0], [0.0, -0.6177718219680645], [0.0, 0.0], [0.0, 0.0], [-0.4286537504152775, 0.0], [0.0, 0.0], [0.25, 0.0], [-1.101809402779172, 0.0], [0.0, 0.0], [0.0, 1.112862477005916], [0.0, -0.5576662320936011], [0.0, 0.0], [-0.436830644539587, 0.0], [0.5658646936600199, 0.0], [0.0, 0.0], [-0.24396650566989694, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.30310397369968856], [1.709836425251186, 0.0], [0.0, 0.0], [0.0, -0.9177680539586339], [0.0, -0.1767766952966369], [0.0, 0.0], [0.0, 0.7790969002802527], [0.6761234037828132, 0.0], [0.0, 0.0], [0.0, 1.250069427128677], [0.7869126040189414, 0.0], [0.0, 0.0], [-0.39432957435213645, 0.0], [0.0, -0.5414250924259548], [0.0, 0.0], [-1.7300679588101306, 0.0], [0.0, 0.30888591098403223], [0.0, 0.0], [0.0, -0.4001267621210485], [0.0, 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-0.21250633466128419, 0.061272672336044054, -0.370563384714649, 0.034619559715844905, -0.22462287684753285, -0.47615596831897744, -0.4115620228335776, 0.08386231684743649, -0.24897368198853292, 0.11842218405156191, -0.26215213036045487, -0.46582586388126507, -0.15538629347307403, 0.09479086455502897, -0.3063250155508698, -0.15374065535563872, -0.1744924241793427, -0.26317847324325844, 0.05911880238435397, -0.31323248696121453, 0.10761479844756075, -0.3334116194060448, -0.11596742564660996, 0.08530796490917773, 0.13517344911359852, -0.3520996780265069, 0.17435357691991807, -0.46876804091061924, 0.043205959113655774, -0.31336730796493084, -0.12511940682395603, -0.2531787046439113, -0.2867323885861927, -0.17278982389812395, -0.478343247607785, -0.32916630000443375, -0.17100304330813984, 0.1498656590539785, -0.11314984477032344, -0.10264144539849368, 0.15703809548313588, -0.4885380593234673, -0.4604076090719468, -0.1926635011648345, -0.2102848725644388, -0.3784925557814693, -0.20624925489435167, -0.1308143333462397, 0.11582742131467665, 0.024454966208877223, -0.10289254380060407, -0.3920499583594597, -0.49373296512442777, 0.08365489388643277, -0.28616469618664686, 0.01505064888591563, 0.009570444258012782, -0.4565675929179754, -0.096656199755012, -0.12960951060850556, -0.41516797534246636, -0.08204782482260103, -0.48196236217924043, -0.38039292248535106, 0.033334885684388575, -0.30057179598525674, -0.15501532191357492, -0.41830689006463484, -0.22269648348502788, -0.425889097315221, -0.2326405082843044, 0.03235835651125543, -0.4562393048182942, 0.07008527536234295, -0.22151823235921703, -0.2188300944110727, 0.003185881786593382, 0.011953363220553275, -0.09411326551785495, -0.26192925661239413, -0.4886170173856189, -0.4799914855172623, -0.37935877957223235, -0.3881455989155788, -0.3538426852682021, -0.12119538268690376, 0.0021612028675206036, -0.27698664586951904, -0.38054617493539084, -0.46259696163286057, -0.3526325016230453, -0.22825497039431375, -0.4677784266344062, 0.05259439958416447, -0.23573149145080724, -0.11443776405882863, -0.29676535805841986, 0.001714376771642363, -0.42975526001506, -0.23977605666975693, -0.34274536929381144, -0.19976070941874138, -0.39316211605808604, -0.32352033129337904, -0.44530284715222246, -0.28239207793045235, 0.06324171609605832, -0.18237102768134558], 'char_orbit_index': 2, 'conrey_index': 1351, 'dual_conrey_index': 1351, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 1.246979603717467, 'embedding_root_real': 0.0, 'hecke_orbit': 14, 'hecke_orbit_code': 58546863908850658, 'label': '3042.2.b.n.1351.3', 'level': 3042, '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': 12168, 'analytic_conductor': 24.29049229487349, 'char_conductor': 13, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [3042, 2, [677, 847], [2, 1]], 'conrey_index': 1351, 'cusp_dim': 490, 'dim': 66, 'eis_dim': 112, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 17, 23], 'hecke_orbit_code': 68753034210, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 6, 6, 6, 6, 6], 'label': '3042.2.b', 'level': 3042, '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, 3, 13], 'level_radical': 78, 'mf_dim': 602, 'mf_new_dim': 66, 'num_forms': 18, 'prim_orbit_index': 2, 'relative_dim': 66, 'sturm_bound': 1092, 'trace_bound': 17, 'trace_display': [0, 0, 0, 0], 'traces': [66, 0, 0, -66, 0, 0, 0, 0, 0, -2, 0, 0, 0, -4, 0, 66, 4, 0, 0, 0, 0, -2, 0, 0, -60, 0, 0, 0, -26, 0, 0, 0, 0, 0, 28, 0, 0, 26, 0, 2, 0, 0, -2, 0, 0, 0, 0, 0, -78, 0, 0, 0, -30, 0, 8, 4, 0, 0, 0, 0, 18, -24, 0, -66, 0, 0, 0, -4, 0, 0, 0, 0, 0, -14, 0, 0, -12, 0, -12, 0, 0, 16, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -16, -20, 0, 0, 0, 0, 60, 26, 0, 4, 0, 0, 0, -10, 0, 0, 0, 0, 0, 12, 0, 0, 26, 0, -6, 0, 0, -116, 0, 0, 0, 0, 0, 92, 0, 0, 0, -14, 0, -124, 34, 0, 0, 0, 0, -70, -28, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26, 0, 0, -48, 0, -62, 0, 0, -2, 0, 0, 0, 0, 0, 10, 0, 0, 0, 110, 0, 2, -116, 0, 0, 0, 0, 58, 46, 0, -46, 0, 0, 0, 78, 0, 0, 0, 0, 0, 44, 0, 0, -26, 0, 78, 0, 0, 140, 0, 0, 0, 0, 0, -38, 0, 0, 0, 16, 0, 18, 30, 0, 0, 0, 0, -152, -116, 0, -8, 0, 0, 0, -4, 0, 0, 0, 0, 0, -40, 0, 0, -142, 0, -100, 0, 0, 48, 0, 0, 0, 0, 0, -18, 0, 0, 0, 24, 0, 78, -46, 0, 0, 0, 0, 66, 24, 0, 100, 0, 0, 0, 116, 0, 0, 0, 0, 0, 48, 0, 0, 4, 0, 40, 0, 0, -6, 0, 0, 0, 0, 0, 94, 0, 0, 0, 36, 0, 134, -34, 0, 0, 0, 0, 56, 14, 0, 26, 0, 0, 0, 12, 0, 0, 0, 0, 0, 12, 0, 0, -92, 0, 102, 0, 0, 12, 0, 0, 0, 0, 0, -48, 0, 0, 0, 10, 0, -16, -68, 0, 0, 0, 0, -76, -64, 0, 92, 0, 0, 0, -8, 0, 0, 0, 0, 0, -124, 0, 0, 48, 0, -2, 0, 0, -76, 0, 0, 0, 0, 0, 4, 0, 0, 0, 146, 0, -136, 0, 0, 0, 0, 0, 34, 170, 0, 16, 0, 0, 0, 20, 0, 0, 0, 0, 0, -44, 0, 0, 2, 0, 84, 0, 0, -140, 0, 0, 0, 0, 0, -60, 0, 0, 0, -26, 0, 40, 0, 0, 0, 0, 0, -4, 48, 0, -60, 0, 0, 0, -52, 0, 0, 0, 0, 0, 30, 0, 0, 10, 0, 8, 0, 0, 160, 0, 0, 0, 0, 0, 12, 0, 0, 0, -66, 0, -12, 52, 0, 0, 0, 0, -8, -12, 0, -34, 0, 0, 0, 60, 0, 0, 0, 0, 0, -26, 0, 0, 290, 0, -200, 0, 0, 6, 0, 0, 0, 0, 0, -24, 0, 0, 0, -162, 0, 116, 324, 0, 0, 0, 0, 6, 18, 0, -150, 0, 0, 0, -100, 0, 0, 0, 0, 0, 52, 0, 0, 4, 0, -92, 0, 0, 176, 0, 0, 0, 0, 0, 4, 0, 0, 0, -316, 0, -90, 14, 0, 0, 0, 0, 66, -98, 0, 124, 0, 0, 0, -34, 0, 0, 0, 0, 0, -20, 0, 0, 40, 0, -66, 0, 0, -26, 0, 0, 0, 0, 0, 70, 0, 0, 0, 28, 0, -60, 204, 0, 0, 0, 0, -28, 38, 0, 206, 0, 0, 0, -280, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, -62, 0, 0, 4, 0, 0, 0, 0, 0, -52, 0, 0, 0, -80, 0, -100, 24, 0, 0, 0, 0, 28, 26, 0, -10, 0, 0, 0, -46, 0, 0, 0, 0, 0, 48, 0, 0, -16, 0, 190, 0, 0, 62, 0, 0, 0, 0, 0, 114, 0, 0, 0, 4, 0, 2, -64, 0, 0, 0, 0, 12, 188, 0, 48, 0, 0, 0, -72, 0, 0, 0, 0, 0, 70, 0, 0, 120, 0, -10, 0, 0, 40, 0, 0, 0, 0, 0, 64, 0, 0, 0, 144, 0, -196, -110, 0, 0, 0, 0, -86, 20, 0, -2, 0, 0, 0, 116, 0, 0, 0, 0, 0, 176, 0, 0, 52, 0, -272, 0, 0, 116, 0, 0, 0, 0, 0, -58, 0, 0, 0, -46, 0, 32, 44, 0, 0, 0, 0, 46, -120, 0, 28, 0, 0, 0, -8, 0, 0, 0, 0, 0, -344, 0, 0, -78, 0, 24, 0, 0, 62, 0, 0, 0, 0, 0, -160, 0, 0, 0, -156, 0, 168, -46, 0, 0, 0, 0, -156, -44, 0, -20, 0, 0, 0, -8, 0, 0, 0, 0, 0, 26, 0, 0, 314, 0, -36, 0, 0, -78, 0, 0, 0, 0, 0, -96, 0, 0, 0, 48, 0, -140, -40, 0, 0, 0, 0, 16, -316, 0, -232, 0, 0, 0, 220, 0, 0, 0, 0, 0, 440, 0, 0, -12, 0, 38, 0, 0, -412, 0, 0, 0, 0, 0, 246, 0, 0, 0, 320, 0, 64, -16, 0, 0, 0, 0, -16, -6, 0, -18, 0, 0, 0, -30, 0, 0, 0, 0, 0, -296, 0, 0, -24, 0, 270, 0, 0, -88, 0, 0, 0, 0, 0, 152, 0, 0, 0, 116, 0, 24, -284, 0, 0, 0, 0, 8, 344, 0, 222, 0, 0, 0, -24, 0, 0, 0, 0, 0, 236, 0, 0, 4, 0, 110, 0, 0, -94, 0, 0, 0, 0, 0, 62, 0, 0, 0, 36, 0, 296, 50, 0, 0, 0, 0, 28, 40, 0, -98, 0, 0, 0, -304, 0, 0, 0, 0, 0, 142, 0, 0, -352, 0, 40, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 0, 0, -38, 0, -48, -98, 0, 0, 0, 0, 136, -448, 0, 6, 0, 0, 0, 62, 0, 0, 0, 0, 0, -238, 0, 0, -24, 0, 18, 0, 0, 52, 0, 0, 0, 0, 0, -408, 0, 0, 0, -272, 0, -108, -24, 0, 0, 0, 0, -2, 50, 0, -78], '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: 47710876
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 1351, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 58546863908850658, 'target_is_minimal': False, 'target_label': '3042.2.b.n.1351.3', 'target_level': 3042, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47710877
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 337, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 13510867635142994, 'target_is_minimal': False, 'target_label': '338.2.b.d.337.6', 'target_level': 338, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47710878
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 337, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043539159386768, 'target_is_minimal': False, 'target_label': '2704.2.f.m.337.1', 'target_level': 2704, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 47710879
    {'conductor': 13, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 112589990717819874, 'target_is_minimal': False, 'target_label': '3042.2.a.z.1.3', 'target_level': 3042, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '13.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 47710880
    {'conductor': 13, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 153122387364154338, 'target_is_minimal': False, 'target_label': '3042.2.a.bi.1.1', 'target_level': 3042, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '13.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 47710881
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 1351, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 58546863908850658, 'target_is_minimal': False, 'target_label': '3042.2.b.n.1351.4', 'target_level': 3042, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 2}
  • id: 47710882
    {'conductor': 39, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 191, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525334864101714, 'target_is_minimal': False, 'target_label': '338.2.c.h.191.1', 'target_level': 338, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '39.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47710883
    {'conductor': 39, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 31525197425148242, 'target_is_minimal': True, 'target_label': '338.2.a.h.1.3', 'target_level': 338, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '39.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 47710884
    {'conductor': 39, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27021597797777746, 'target_is_minimal': True, 'target_label': '338.2.a.g.1.3', 'target_level': 338, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '39.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 47710885
    {'conductor': 39, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 191, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028934491472210, 'target_is_minimal': False, 'target_label': '338.2.c.i.191.1', 'target_level': 338, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '39.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 47710886
    {'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 23, 'target_dim': 12, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014673420943698, 'target_is_minimal': False, 'target_label': '338.2.e.e.23.1', 'target_level': 338, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '39.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 47710887
    {'conductor': 39, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 315, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028934491472210, 'target_is_minimal': False, 'target_label': '338.2.c.i.315.1', 'target_level': 338, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '39.20', 'twisting_conrey_index': 20, 'weight': 2}
  • id: 47710888
    {'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 147, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18014673420943698, 'target_is_minimal': False, 'target_label': '338.2.e.e.147.4', 'target_level': 338, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '39.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 47710889
    {'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 147, 'target_dim': 12, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014673420943698, 'target_is_minimal': False, 'target_label': '338.2.e.e.147.1', 'target_level': 338, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '39.29', 'twisting_conrey_index': 29, 'weight': 2}
  • id: 47710890
    {'conductor': 39, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 315, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525334864101714, 'target_is_minimal': False, 'target_label': '338.2.c.h.315.1', 'target_level': 338, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '39.32', 'twisting_conrey_index': 32, 'weight': 2}
  • id: 47710891
    {'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 23, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18014673420943698, 'target_is_minimal': False, 'target_label': '338.2.e.e.23.4', 'target_level': 338, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '39.35', 'twisting_conrey_index': 35, 'weight': 2}
  • id: 47710892
    {'conductor': 39, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 337, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13510867635142994, 'target_is_minimal': False, 'target_label': '338.2.b.d.337.3', 'target_level': 338, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '39.38', 'twisting_conrey_index': 38, 'weight': 2}
  • id: 47710893
    {'conductor': 156, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 94575592208337552, 'target_is_minimal': False, 'target_label': '2704.2.a.v.1.1', 'target_level': 2704, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '156.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 47710894
    {'conductor': 156, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 99079191835708048, 'target_is_minimal': False, 'target_label': '2704.2.a.w.1.1', 'target_level': 2704, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '156.83', 'twisting_conrey_index': 83, 'weight': 2}
  • id: 47710895
    {'conductor': 156, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 337, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 54043539159386768, 'target_is_minimal': False, 'target_label': '2704.2.f.m.337.2', 'target_level': 2704, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '156.155', 'twisting_conrey_index': 155, 'weight': 2}
  • id: 47710896
    {'conductor': 195, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 175640385501012226, 'target_is_minimal': False, 'target_label': '8450.2.a.bn.1.1', 'target_level': 8450, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '195.44', 'twisting_conrey_index': 44, 'weight': 2}
  • id: 47710897
    {'conductor': 195, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1351, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546863908850658, 'source_is_minimal': False, 'source_label': '3042.2.b.n.1351.3', 'source_level': 3042, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 220676381774717186, 'target_is_minimal': False, 'target_label': '8450.2.a.bx.1.1', 'target_level': 8450, 'twist_class_label': '338.2.a.g.1.3', 'twist_class_level': 338, 'twisting_char_label': '195.164', 'twisting_conrey_index': 164, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2977800
    {'charpoly_factorization': [[[1, 0, 1], 3]], 'hecke_orbit_code': 58546863908850658, 'p': 2}
  • id: 2977801
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 58546863908850658, 'p': 3}
  • id: 2977802
    {'charpoly_factorization': [[[64, 0, 96, 0, 20, 0, 1], 1]], 'hecke_orbit_code': 58546863908850658, 'p': 5}
  • id: 2977803
    {'charpoly_factorization': [[[64, 0, 80, 0, 24, 0, 1], 1]], 'hecke_orbit_code': 58546863908850658, 'p': 7}
  • id: 2977804
    {'charpoly_factorization': [[[169, 0, 94, 0, 17, 0, 1], 1]], 'hecke_orbit_code': 58546863908850658, 'p': 11}
  • id: 2977805
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 58546863908850658, 'p': 13}
  • id: 2977806
    {'charpoly_factorization': [[[97, -22, -5, 1], 2]], 'hecke_orbit_code': 58546863908850658, 'p': 17}
  • id: 2977807
    {'charpoly_factorization': [[[169, 0, 230, 0, 33, 0, 1], 1]], 'hecke_orbit_code': 58546863908850658, 'p': 19}
  • id: 2977808
    {'charpoly_factorization': [[[56, -28, 0, 1], 2]], 'hecke_orbit_code': 58546863908850658, 'p': 23}
  • id: 2977809
    {'charpoly_factorization': [[[104, -4, -10, 1], 2]], 'hecke_orbit_code': 58546863908850658, 'p': 29}
  • id: 2977810
    {'charpoly_factorization': [[[10816, 0, 2448, 0, 104, 0, 1], 1]], 'hecke_orbit_code': 58546863908850658, 'p': 31}
  • id: 2977811
    {'charpoly_factorization': [[[3136, 0, 1568, 0, 84, 0, 1], 1]], 'hecke_orbit_code': 58546863908850658, 'p': 37}
  • id: 2977812
    {'charpoly_factorization': [[[8281, 0, 1470, 0, 77, 0, 1], 1]], 'hecke_orbit_code': 58546863908850658, 'p': 41}
  • id: 2977813
    {'charpoly_factorization': [[[-1, -4, 11, 1], 2]], 'hecke_orbit_code': 58546863908850658, 'p': 43}
  • id: 2977814
    {'charpoly_factorization': [[[64, 0, 1328, 0, 76, 0, 1], 1]], 'hecke_orbit_code': 58546863908850658, 'p': 47}
  • id: 2977815
    {'charpoly_factorization': [[[56, -28, 0, 1], 2]], 'hecke_orbit_code': 58546863908850658, 'p': 53}
  • id: 2977816
    {'charpoly_factorization': [[[16129, 0, 2838, 0, 129, 0, 1], 1]], 'hecke_orbit_code': 58546863908850658, 'p': 59}
  • id: 2977817
    {'charpoly_factorization': [[[-64, -144, 4, 1], 2]], 'hecke_orbit_code': 58546863908850658, 'p': 61}
  • id: 2977818
    {'charpoly_factorization': [[[82369, 0, 19110, 0, 273, 0, 1], 1]], 'hecke_orbit_code': 58546863908850658, 'p': 67}
  • id: 2977819
    {'charpoly_factorization': [[[64, 0, 208, 0, 104, 0, 1], 1]], 'hecke_orbit_code': 58546863908850658, 'p': 71}
  • id: 2977820
    {'charpoly_factorization': [[[63001, 0, 6894, 0, 173, 0, 1], 1]], 'hecke_orbit_code': 58546863908850658, 'p': 73}
  • id: 2977821
    {'charpoly_factorization': [[[-232, 24, 18, 1], 2]], 'hecke_orbit_code': 58546863908850658, 'p': 79}
  • id: 2977822
    {'charpoly_factorization': [[[169, 0, 230, 0, 33, 0, 1], 1]], 'hecke_orbit_code': 58546863908850658, 'p': 83}
  • id: 2977823
    {'charpoly_factorization': [[[573049, 0, 46686, 0, 437, 0, 1], 1]], 'hecke_orbit_code': 58546863908850658, 'p': 89}
  • id: 2977824
    {'charpoly_factorization': [[[779689, 0, 44462, 0, 405, 0, 1], 1]], 'hecke_orbit_code': 58546863908850658, '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': 2, 'hecke_orbit': 14, 'label': '3042.2.b.n', 'level': 3042, '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: 59213557
    {'hecke_orbit_code': 58546863908850658, 'n': 1, 'trace_an': 6}
  • id: 59213558
    {'hecke_orbit_code': 58546863908850658, 'n': 2, 'trace_an': 0}
  • id: 59213559
    {'hecke_orbit_code': 58546863908850658, 'n': 3, 'trace_an': 0}
  • id: 59213560
    {'hecke_orbit_code': 58546863908850658, 'n': 4, 'trace_an': -6}
  • id: 59213561
    {'hecke_orbit_code': 58546863908850658, 'n': 5, 'trace_an': 0}
  • id: 59213562
    {'hecke_orbit_code': 58546863908850658, 'n': 6, 'trace_an': 0}
  • id: 59213563
    {'hecke_orbit_code': 58546863908850658, 'n': 7, 'trace_an': 0}
  • id: 59213564
    {'hecke_orbit_code': 58546863908850658, 'n': 8, 'trace_an': 0}
  • id: 59213565
    {'hecke_orbit_code': 58546863908850658, 'n': 9, 'trace_an': 0}
  • id: 59213566
    {'hecke_orbit_code': 58546863908850658, 'n': 10, 'trace_an': -4}
  • id: 59213567
    {'hecke_orbit_code': 58546863908850658, 'n': 11, 'trace_an': 0}
  • id: 59213568
    {'hecke_orbit_code': 58546863908850658, 'n': 12, 'trace_an': 0}
  • id: 59213569
    {'hecke_orbit_code': 58546863908850658, 'n': 13, 'trace_an': 0}
  • id: 59213570
    {'hecke_orbit_code': 58546863908850658, 'n': 14, 'trace_an': 8}
  • id: 59213571
    {'hecke_orbit_code': 58546863908850658, 'n': 15, 'trace_an': 0}
  • id: 59213572
    {'hecke_orbit_code': 58546863908850658, 'n': 16, 'trace_an': 6}
  • id: 59213573
    {'hecke_orbit_code': 58546863908850658, 'n': 17, 'trace_an': 10}
  • id: 59213574
    {'hecke_orbit_code': 58546863908850658, 'n': 18, 'trace_an': 0}
  • id: 59213575
    {'hecke_orbit_code': 58546863908850658, 'n': 19, 'trace_an': 0}
  • id: 59213576
    {'hecke_orbit_code': 58546863908850658, 'n': 20, 'trace_an': 0}
  • id: 59213577
    {'hecke_orbit_code': 58546863908850658, 'n': 21, 'trace_an': 0}
  • id: 59213578
    {'hecke_orbit_code': 58546863908850658, 'n': 22, 'trace_an': 6}
  • id: 59213579
    {'hecke_orbit_code': 58546863908850658, 'n': 23, 'trace_an': 0}
  • id: 59213580
    {'hecke_orbit_code': 58546863908850658, 'n': 24, 'trace_an': 0}
  • id: 59213581
    {'hecke_orbit_code': 58546863908850658, 'n': 25, 'trace_an': -10}
  • id: 59213582
    {'hecke_orbit_code': 58546863908850658, 'n': 26, 'trace_an': 0}
  • id: 59213583
    {'hecke_orbit_code': 58546863908850658, 'n': 27, 'trace_an': 0}
  • id: 59213584
    {'hecke_orbit_code': 58546863908850658, 'n': 28, 'trace_an': 0}
  • id: 59213585
    {'hecke_orbit_code': 58546863908850658, 'n': 29, 'trace_an': 20}
  • id: 59213586
    {'hecke_orbit_code': 58546863908850658, 'n': 30, 'trace_an': 0}
  • id: 59213587
    {'hecke_orbit_code': 58546863908850658, 'n': 31, 'trace_an': 0}
  • id: 59213588
    {'hecke_orbit_code': 58546863908850658, 'n': 32, 'trace_an': 0}
  • id: 59213589
    {'hecke_orbit_code': 58546863908850658, 'n': 33, 'trace_an': 0}
  • id: 59213590
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  • id: 59213596
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  • id: 59213600
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  • id: 59213606
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  • id: 59213611
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  • id: 59213612
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  • id: 59213613
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  • id: 59213615
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  • id: 59213616
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  • id: 59213617
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  • id: 59213618
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  • id: 59213619
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  • id: 59213620
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  • id: 59213621
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  • id: 59213625
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  • id: 59213631
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  • id: 59213633
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  • id: 59213634
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  • id: 59213635
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  • id: 59213636
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  • id: 59213638
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  • id: 59213639
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  • id: 59213657
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  • id: 59213658
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  • id: 59213659
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  • id: 59213660
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  • id: 59213662
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  • id: 59213664
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  • id: 59213665
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  • id: 59213666
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  • id: 59213667
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  • id: 59213668
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  • id: 59213669
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  • id: 59213670
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  • id: 59213671
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  • id: 59213672
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  • id: 59213675
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  • id: 59213676
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  • id: 59213677
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  • id: 59213678
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  • id: 59213679
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  • id: 59213681
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  • id: 59213682
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  • id: 59213683
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  • id: 59213686
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  • id: 59213687
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  • id: 59213688
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  • id: 59213689
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  • id: 59213690
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  • id: 59213691
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  • id: 59213692
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  • id: 59213693
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  • id: 59213694
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  • id: 59213695
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  • id: 59213696
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  • id: 59213697
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  • id: 59213698
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  • id: 59213699
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  • id: 59213700
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  • id: 59213701
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  • id: 59213702
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  • id: 59213703
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  • id: 59213704
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  • id: 59213705
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  • id: 59213706
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  • id: 59213707
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  • id: 59213708
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  • id: 59213709
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  • id: 59213710
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  • id: 59213711
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  • id: 59213712
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  • id: 59213713
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  • id: 59213714
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  • id: 59213715
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  • id: 59213716
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  • id: 59213717
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  • id: 59213718
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  • id: 59213719
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  • id: 59213720
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  • id: 59213721
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  • id: 59213722
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  • id: 59213723
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  • id: 59213724
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  • id: 59213725
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  • id: 59213726
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  • id: 59213727
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  • id: 59213728
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  • id: 59213729
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  • id: 59213730
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  • id: 59213731
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  • id: 59213732
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  • id: 59213733
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  • id: 59213734
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  • id: 59213735
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  • id: 59213736
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  • id: 59213737
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  • id: 59213738
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  • id: 59213739
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  • id: 59213740
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  • id: 59213741
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  • id: 59213742
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  • id: 59213743
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  • id: 59213744
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  • id: 59213745
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  • id: 59213746
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  • id: 59213747
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  • id: 59213748
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  • id: 59213749
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  • id: 59213750
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  • id: 59213751
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  • id: 59213752
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  • id: 59213753
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  • id: 59213754
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  • id: 59213762
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  • id: 59213763
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  • id: 59213765
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  • id: 59213766
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  • id: 59213767
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  • id: 59213768
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  • id: 59213769
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  • id: 59213770
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  • id: 59213771
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  • id: 59213775
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  • id: 59213776
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  • id: 59213778
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  • id: 59213786
    {'hecke_orbit_code': 58546863908850658, 'n': 821, 'trace_an': 0}
  • id: 59213787
    {'hecke_orbit_code': 58546863908850658, 'n': 823, 'trace_an': -84}
  • id: 59213788
    {'hecke_orbit_code': 58546863908850658, 'n': 827, 'trace_an': 0}
  • id: 59213789
    {'hecke_orbit_code': 58546863908850658, 'n': 829, 'trace_an': 80}
  • id: 59213790
    {'hecke_orbit_code': 58546863908850658, 'n': 839, 'trace_an': 0}
  • id: 59213791
    {'hecke_orbit_code': 58546863908850658, 'n': 841, 'trace_an': 42}
  • id: 59213792
    {'hecke_orbit_code': 58546863908850658, 'n': 853, 'trace_an': 0}
  • id: 59213793
    {'hecke_orbit_code': 58546863908850658, 'n': 857, 'trace_an': -70}
  • id: 59213794
    {'hecke_orbit_code': 58546863908850658, 'n': 859, 'trace_an': 46}
  • id: 59213795
    {'hecke_orbit_code': 58546863908850658, 'n': 863, 'trace_an': 0}
  • id: 59213796
    {'hecke_orbit_code': 58546863908850658, 'n': 877, 'trace_an': 0}
  • id: 59213797
    {'hecke_orbit_code': 58546863908850658, 'n': 881, 'trace_an': 70}
  • id: 59213798
    {'hecke_orbit_code': 58546863908850658, 'n': 883, 'trace_an': 50}
  • id: 59213799
    {'hecke_orbit_code': 58546863908850658, 'n': 887, 'trace_an': 56}
  • id: 59213800
    {'hecke_orbit_code': 58546863908850658, 'n': 907, 'trace_an': -86}
  • id: 59213801
    {'hecke_orbit_code': 58546863908850658, 'n': 911, 'trace_an': 100}
  • id: 59213802
    {'hecke_orbit_code': 58546863908850658, 'n': 919, 'trace_an': -12}
  • id: 59213803
    {'hecke_orbit_code': 58546863908850658, 'n': 929, 'trace_an': 0}
  • id: 59213804
    {'hecke_orbit_code': 58546863908850658, 'n': 937, 'trace_an': 62}
  • id: 59213805
    {'hecke_orbit_code': 58546863908850658, 'n': 941, 'trace_an': 0}
  • id: 59213806
    {'hecke_orbit_code': 58546863908850658, 'n': 947, 'trace_an': 0}
  • id: 59213807
    {'hecke_orbit_code': 58546863908850658, 'n': 953, 'trace_an': -78}
  • id: 59213808
    {'hecke_orbit_code': 58546863908850658, 'n': 961, 'trace_an': -22}
  • id: 59213809
    {'hecke_orbit_code': 58546863908850658, 'n': 967, 'trace_an': 0}
  • id: 59213810
    {'hecke_orbit_code': 58546863908850658, 'n': 971, 'trace_an': -178}
  • id: 59213811
    {'hecke_orbit_code': 58546863908850658, 'n': 977, 'trace_an': 0}
  • id: 59213812
    {'hecke_orbit_code': 58546863908850658, 'n': 983, 'trace_an': 0}
  • id: 59213813
    {'hecke_orbit_code': 58546863908850658, 'n': 991, 'trace_an': 68}
  • id: 59213814
    {'hecke_orbit_code': 58546863908850658, 'n': 997, 'trace_an': 116}