Newform data - 3800.2.d.n

Formats: - HTML - YAML - JSON - 2025-04-07T08:27:18.906304

• 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': 15200, 'analytic_conductor': 30.343152768086547, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [3800, 2, [951, 1901, 1977, 401], [2, 2, 1, 2]], 'cm_discs': [], 'conrey_index': 3649, 'dim': 6, 'field_disc': -399424, 'field_disc_factorization': [[-1, 1], [2, 6], [79, 2]], 'field_poly': [8, -8, 6, -6, 3, -2, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [4, 0, 20, 0, 9, 0, 1]], [7, [256, 0, 224, 0, 33, 0, 1]], [11, [16, -28, 0, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58547001347804888, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 16, 'hecke_ring_index_factorization': [[2, 4]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 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': '3800.2.d.n', 'level': 3800, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 19], 'level_radical': 190, 'minimal_twist': '760.2.a.i', 'nf_label': '6.0.399424.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{4}q^{3}+(\\beta _{4}-\\beta _{5})q^{7}-\\beta _{1}q^{9}+2\\beta _{1}q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3800.2.d', 'trace_display': [0, 0, 0, 0], 'trace_hash': 507183873826533732, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.008', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.998', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '195.672', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10445.610', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.512', 'prec': 17}, 'traces': [6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, -26, 0, 0, 0, 0, 0, 0, 0, 14, 0, 12, 0, 0, 0, 0, 0, 0, 0, -6, 0, -44, 0, 0, 0, 0, 0, 0, 0, -24, 0, -6, 0, 0, 0, 0, 0, 0, 0, -22, 0, -32, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, -26, 0, 0, 0, 0, 0, 0, 0, 12, 0, 58, 0, 0, 0, 0, 0, 0, 0, -56, 0, -8, 0, 0, 0, 0, 0, 0, 0, -6, 0, 4, 0, 0, 0, 0, 0, 0, 0, 10, 0, 46, 0, 0, 0, 0, 0, 0, 0, -60, 0, -48, 0, 0, 0, 0, 0, 0, 0, -24, 0, 32, 0, 0, 0, 0, 0, 0, 0, -16, 0, 36, 0, 0, 0, 0, 0, 0, 0, -110, 0, -6, 0, 0, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, -52, 0, 0, 0, 0, 0, 0, 0, -66, 0, -6, 0, 0, 0, 0, 0, 0, 0, -26, 0, -14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 90, 0, -26, 0, 0, 0, 0, 0, 0, 0, 4, 0, -24, 0, 0, 0, 0, 0, 0, 0, -66, 0, -24, 0, 0, 0, 0, 0, 0, 0, -44, 0, 24, 0, 0, 0, 0, 0, 0, 0, -52, 0, -4, 0, 0, 0, 0, 0, 0, 0, 84, 0, 10, 0, 0, 0, 0, 0, 0, 0, 56, 0, 12, 0, 0, 0, 0, 0, 0, 0, 68, 0, 36, 0, 0, 0, 0, 0, 0, 0, -18, 0, -124, 0, 0, 0, 0, 0, 0, 0, -56, 0, -78, 0, 0, 0, 0, 0, 0, 0, 8, 0, -82, 0, 0, 0, 0, 0, 0, 0, -48, 0, 138, 0, 0, 0, 0, 0, 0, 0, 56, 0, -112, 0, 0, 0, 0, 0, 0, 0, -52, 0, 58, 0, 0, 0, 0, 0, 0, 0, 26, 0, 6, 0, 0, 0, 0, 0, 0, 0, -72, 0, -206, 0, 0, 0, 0, 0, 0, 0, 50, 0, 4, 0, 0, 0, 0, 0, 0, 0, 16, 0, 46, 0, 0, 0, 0, 0, 0, 0, 26, 0, -4, 0, 0, 0, 0, 0, 0, 0, 76, 0, 82, 0, 0, 0, 0, 0, 0, 0, 36, 0, -38, 0, 0, 0, 0, 0, 0, 0, -152, 0, -112, 0, 0, 0, 0, 0, 0, 0, 20, 0, -20, 0, 0, 0, 0, 0, 0, 0, 148, 0, 144, 0, 0, 0, 0, 0, 0, 0, 10, 0, -68, 0, 0, 0, 0, 0, 0, 0, 74, 0, 52, 0, 0, 0, 0, 0, 0, 0, -40, 0, 196, 0, 0, 0, 0, 0, 0, 0, 100, 0, -28, 0, 0, 0, 0, 0, 0, 0, 116, 0, 44, 0, 0, 0, 0, 0, 0, 0, -4, 0, 74, 0, 0, 0, 0, 0, 0, 0, 52, 0, 72, 0, 0, 0, 0, 0, 0, 0, 56, 0, -116, 0, 0, 0, 0, 0, 0, 0, 40, 0, 56, 0, 0, 0, 0, 0, 0, 0, -72, 0, -14, 0, 0, 0, 0, 0, 0, 0, 28, 0, -56, 0, 0, 0, 0, 0, 0, 0, 72, 0, -28, 0, 0, 0, 0, 0, 0, 0, -156, 0, -44, 0, 0, 0, 0, 0, 0, 0, -12, 0, -116, 0, 0, 0, 0, 0, 0, 0, 124, 0, 68, 0, 0, 0, 0, 0, 0, 0, 58, 0, 192, 0, 0, 0, 0, 0, 0, 0, -40, 0, -6, 0, 0, 0, 0, 0, 0, 0, -20, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 232, 0, -28, 0, 0, 0, 0, 0, 0, 0, -58, 0, 102, 0, 0, 0, 0, 0, 0, 0, 84, 0, 144, 0, 0, 0, 0, 0, 0, 0, -4, 0, -94, 0, 0, 0, 0, 0, 0, 0, 54, 0, 100, 0, 0, 0, 0, 0, 0, 0, 36, 0, -88, 0, 0, 0, 0, 0, 0, 0, -76, 0, 16, 0, 0, 0, 0, 0, 0, 0, -138, 0, -72, 0, 0, 0, 0, 0, 0, 0, 18, 0, 44, 0, 0, 0, 0, 0, 0, 0, -12, 0, 6, 0, 0, 0, 0, 0, 0, 0, -138, 0, 212, 0, 0, 0, 0, 0, 0, 0, 24, 0, -34, 0, 0, 0, 0, 0, 0, 0, 54, 0, 116, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 176, 0, 0, 0, 0, 0, 0, 0, 112, 0, -120, 0, 0, 0, 0, 0, 0, 0, 6, 0, 10, 0, 0, 0, 0, 0, 0, 0, 52, 0, 144, 0, 0, 0, 0, 0, 0, 0, 186, 0, 184, 0, 0, 0, 0, 0, 0, 0, -16, 0, 100, 0, 0, 0, 0, 0, 0, 0, 116, 0, 100, 0, 0, 0, 0, 0, 0, 0, -8, 0, 220, 0, 0, 0, 0, 0, 0, 0, -32, 0, -186, 0, 0, 0, 0, 0, 0, 0, 126, 0, 44, 0, 0, 0, 0, 0, 0, 0, 148, 0, -192, 0, 0, 0, 0, 0, 0, 0, 20, 0, 14, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -46, 0, -40, 0, 0, 0, 0, 0, 0, 0, 206, 0, 24, 0, 0, 0, 0, 0, 0, 0, 50, 0, 10, 0, 0, 0, 0, 0, 0, 0, 102, 0, -150, 0, 0, 0, 0, 0, 0, 0, 82, 0, -50, 0, 0, 0, 0, 0, 0, 0, 6, 0, -88, 0, 0, 0, 0, 0, 0, 0, 240, 0, 76, 0, 0, 0, 0, 0, 0, 0, -84, 0, -12, 0, 0, 0, 0, 0, 0, 0, -52, 0, -104, 0, 0, 0, 0, 0, 0, 0, -24, 0, -140, 0, 0, 0, 0, 0, 0, 0, 174, 0, 106, 0, 0, 0, 0, 0, 0, 0, 94, 0, -56, 0, 0, 0, 0, 0, 0, 0, -52, 0, -12, 0, 0, 0, 0, 0, 0, 0, 28, 0, 156, 0, 0, 0, 0, 0, 0, 0, -126, 0, -60, 0, 0, 0, 0, 0, 0, 0, -60, 0, 68, 0, 0, 0, 0, 0, 0, 0, -100, 0, -112, 0, 0, 0, 0, 0, 0, 0, 48, 0, 34, 0, 0, 0, 0, 0, 0, 0, 44, 0, -48, 0, 0, 0, 0, 0, 0, 0, 28, 0, -80, 0, 0, 0, 0, 0, 0, 0, 150, 0, 22, 0, 0, 0, 0, 0, 0, 0, 144, 0, -386, 0, 0, 0, 0, 0, 0, 0, -106, 0, 276, 0, 0, 0, 0, 0, 0, 0, -104, 0, -214, 0, 0, 0, 0, 0, 0, 0, 32, 0, -124, 0, 0, 0, 0, 0, 0, 0, -4, 0, 72, 0, 0, 0, 0, 0, 0, 0, 112, 0, -90, 0, 0, 0, 0, 0, 0, 0, 28, 0, -168, 0, 0, 0, 0, 0, 0, 0, -152, 0, 42, 0, 0, 0, 0, 0, 0, 0, 140, 0, -20, 0, 0, 0, 0, 0, 0, 0, -42, 0, 128, 0, 0, 0, 0, 0, 0, 0, -116, 0, 112, 0, 0, 0, 0, 0, 0, 0, 166, 0, 126, 0, 0, 0, 0, 0, 0, 0, -60, 0, -56, 0, 0, 0, 0, 0, 0, 0, 172, 0, 84, 0, 0, 0, 0, 0, 0, 0, -48, 0, -232, 0, 0, 0, 0, 0, 0, 0, 86, 0, 168, 0, 0, 0, 0, 0, 0, 0, -58, 0, -90, 0, 0, 0, 0, 0, 0, 0, 200, 0, -24, 0, 0, 0, 0, 0, 0, 0, -136, 0, -2, 0, 0, 0, 0, 0, 0, 0, 180, 0, 192, 0, 0, 0, 0, 0, 0, 0, 184, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, -244, 0, 0, 0, 0, 0, 0, 0, -176, 0, 92, 0, 0, 0, 0, 0, 0, 0, -74, 0, 102, 0, 0, 0, 0, 0, 0, 0, -252, 0, 180, 0, 0, 0, 0, 0, 0, 0, -256, 0, 58, 0, 0, 0, 0, 0, 0, 0, 108, 0, 32, 0, 0, 0, 0, 0, 0, 0, 136, 0, 12, 0, 0, 0, 0, 0, 0, 0, -112, 0, 308, 0, 0, 0, 0, 0, 0, 0, 28, 0, -206, 0, 0, 0, 0, 0, 0, 0, -24, 0, -224, 0, 0, 0, 0, 0, 0, 0, -92, 0, -180, 0, 0, 0, 0, 0, 0, 0, 42, 0, -76, 0, 0, 0, 0, 0, 0, 0, -224, 0, 96, 0, 0, 0, 0, 0, 0, 0, -18, 0, -92, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, 0, 0, -188, 0, 52, 0, 0, 0, 0, 0, 0, 0, -54, 0, 28, 0, 0, 0, 0, 0, 0, 0, -88, 0, 220, 0, 0, 0, 0, 0, 0, 0, 112, 0, 80, 0, 0, 0, 0, 0, 0, 0, 26, 0, 110, 0, 0, 0, 0, 0, 0, 0, 46, 0, 288, 0, 0, 0, 0, 0, 0, 0, -96, 0, 36, 0, 0, 0, 0, 0, 0, 0, -246, 0, -168, 0, 0, 0, 0, 0, 0, 0, -80, 0, 44, 0, 0, 0, 0, 0, 0, 0, -326, 0, 56, 0, 0, 0, 0, 0, 0, 0, -332, 0, 6, 0, 0, 0, 0, 0, 0, 0, -72, 0, 72, 0, 0, 0, 0, 0, 0, 0, -304, 0, 68, 0, 0, 0, 0, 0, 0, 0, -48, 0, -52, 0, 0, 0, 0, 0, 0, 0, 304, 0, -280, 0, 0, 0, 0, 0, 0, 0, 108, 0, -332, 0, 0, 0, 0, 0, 0, 0, 172, 0, 352, 0, 0, 0, 0, 0, 0, 0, -180, 0, -272, 0, 0, 0, 0, 0, 0, 0, -146, 0, 322, 0, 0, 0, 0, 0, 0, 0, -104, 0, -12, 0, 0, 0, 0, 0, 0, 0, -182, 0, 16, 0, 0, 0, 0, 0, 0, 0, -46, 0, 206, 0, 0, 0, 0, 0, 0, 0, 148, 0, -194, 0, 0, 0, 0, 0, 0, 0, -58, 0, -30, 0, 0, 0, 0, 0, 0, 0, -80, 0, -46, 0, 0, 0, 0, 0, 0, 0, -248, 0, -64, 0, 0, 0, 0, 0, 0, 0, 90, 0, -140, 0, 0, 0, 0, 0, 0, 0, 56, 0, 184, 0, 0, 0, 0, 0, 0, 0, 236, 0, 14, 0, 0, 0, 0, 0, 0, 0, -18, 0, 12, 0, 0, 0, 0, 0, 0, 0, -20, 0, 128, 0, 0, 0, 0, 0, 0, 0, 74, 0, -24, 0, 0, 0, 0, 0, 0, 0, -54, 0, -132, 0, 0, 0, 0, 0, 0, 0, -276, 0, -238, 0, 0, 0, 0, 0, 0, 0, -192, 0, -320, 0, 0, 0, 0, 0, 0, 0, -70, 0, -28, 0, 0, 0, 0, 0, 0, 0, -440, 0, -30, 0, 0, 0, 0, 0, 0, 0, -284, 0, 208, 0, 0, 0, 0, 0, 0, 0, -158, 0, 56, 0, 0, 0, 0, 0, 0, 0, 196, 0, -208, 0, 0, 0, 0, 0, 0, 0, 36, 0, -40, 0, 0, 0, 0, 0, 0, 0, -68, 0, -572, 0, 0, 0, 0, 0, 0, 0, 8, 0, -24, 0, 0, 0, 0, 0, 0, 0, -100, 0, 144, 0, 0, 0, 0, 0, 0, 0, 256, 0, 262, 0, 0, 0, 0, 0, 0, 0, -172, 0, 164, 0, 0, 0, 0, 0, 0, 0, 24, 0, -12, 0, 0, 0, 0, 0, 0, 0, -144, 0, 74, 0, 0, 0, 0, 0, 0, 0, -138, 0, 132, 0, 0, 0, 0, 0, 0, 0, 4, 0, 96, 0, 0, 0, 0, 0, 0, 0, 182, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, -1], [0, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 2, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 1, 2], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, -1, 0, 1, 1], [0, 0, 0, 0, 0, 0], [-1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [-4, 0, 0, -1, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 2, 0, -1, -1], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, -1], [0, 0, 0, 0, 0, 0], [3, 1, 0, -2, 0, 0], [0, 0, 0, 0, 0, 0], [2, -2, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 4, 2], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, -3, 0, 0, -1], [0, 0, 0, 0, 0, 0], [-2, -4, 0, 3, 0, 0], [0, 0, 0, 0, 0, 0], [-7, 3, 0, -1, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 2, 0, 2, -2], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 2, 0, -4, -4], [0, 0, 0, 0, 0, 0], [-3, 2, 0, -3, 0, 0], [0, 0, 0, 0, 0, 0], [-1, -1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 5, -2], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, -1, 0], [0, 0, 0, 0, 0, 0], [-3, 5, 0, -2, 0, 0], [0, 0, 0, 0, 0, 0], [-5, 3, 0, -1, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 2, 0, -2, -2], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, -2, 0, 3, 4], [0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 3, 0, -7, -3], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, -4, 0, 4, 4], [0, 0, 0, 0, 0, 0], [-9, -1, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0], [-4, -3, 0, -1, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 2, 0, 2, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 4, 0, 3, 3], [0, 0, 0, 0, 0, 0], [1, 3, 0, 3, 0, 0], [0, 0, 0, 0, 0, 0], [8, -4, 0, 5, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, -2, -2], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 3, 0, -4, -3], [0, 0, 0, 0, 0, 0], [-10, 0, 0, 2, 0, 0], [0, 0, 0, 0, 0, 0]], 'ap': [[0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, -1], [0, 2, 0, 0, 0, 0], [0, 0, 1, 0, 1, 2], [0, 0, -1, 0, 1, 1], [-1, 0, 0, 0, 0, 0], [0, 0, 2, 0, -1, -1], [3, 1, 0, -2, 0, 0], [2, -2, 0, 0, 0, 0], [0, 0, -3, 0, 0, -1], [-7, 3, 0, -1, 0, 0], [0, 0, 2, 0, 2, -2], [0, 0, 2, 0, -4, -4], [0, 0, 1, 0, 5, -2], [-3, 5, 0, -2, 0, 0], [-5, 3, 0, -1, 0, 0], [0, 0, -2, 0, 3, 4], [0, 0, 0, 0, 0, 0], [0, 0, 3, 0, -7, -3], [-9, -1, 0, 1, 0, 0], [0, 0, 2, 0, 2, 0], [1, 3, 0, 3, 0, 0], [0, 0, 3, 0, -4, -3], [-1, -1, 0, -1, 0, 0], [0, 0, -2, 0, 4, 1], [0, 0, -2, 0, 5, 0], [-2, -4, 0, 3, 0, 0], [0, 0, 1, 0, -2, 3], [0, 0, 0, 0, 2, 5], [-8, -4, 0, 0, 0, 0], [0, 0, 5, 0, -7, -3], [-4, 2, 0, 0, 0, 0], [-3, 5, 0, 1, 0, 0], [5, 5, 0, 3, 0, 0], [0, 0, -9, 0, 0, 2], [0, 0, -4, 0, -2, 6], [0, 0, -4, 0, -2, -1], [0, 0, -1, 0, -4, -3], [-7, -3, 0, 1, 0, 0], [-10, 0, 0, 4, 0, 0], [0, -4, 0, -3, 0, 0], [0, 0, 1, 0, 8, -1], [0, 0, 3, 0, 4, -4], [-4, 0, 0, -1, 0, 0], [1, -3, 0, 4, 0, 0], [0, 0, 0, 0, -6, -3], [0, 0, -2, 0, 3, -6], [1, 5, 0, -1, 0, 0], [0, 0, 1, 0, -4, -4], [-12, 0, 0, 3, 0, 0], [-5, -3, 0, 3, 0, 0], [4, 8, 0, 0, 0, 0], [0, 0, 7, 0, -12, -9], [0, 0, 6, 0, 4, -6], [14, 0, 0, 0, 0, 0], [2, -4, 0, -1, 0, 0], [0, 0, -1, 0, -10, 0], [3, 1, 0, -3, 0, 0], [0, 0, 8, 0, -10, -4], [0, 0, 1, 0, -9, -4], [0, 0, -4, 0, 0, -7], [-14, -4, 0, 3, 0, 0], [0, 0, -1, 0, -3, -1], [0, 0, -5, 0, 13, 8], [23, 3, 0, 0, 0, 0], [0, 0, -5, 0, 12, 7], [0, 0, -6, 0, 2, 0], [-8, 2, 0, -2, 0, 0], [0, 0, -7, 0, 9, 1], [4, -6, 0, 1, 0, 0], [0, 0, 2, 0, 4, 4], [0, 0, 5, 0, -13, -8], [8, 0, 0, 1, 0, 0], [0, 0, 6, 0, 4, -1], [2, 0, 0, 2, 0, 0], [0, 0, -3, 0, 10, 0], [-2, 8, 0, 4, 0, 0], [14, 0, 0, -4, 0, 0], [8, -4, 0, -6, 0, 0], [-5, -3, 0, -4, 0, 0], [-19, 1, 0, 1, 0, 0], [0, 0, 1, 0, -10, 3], [1, -3, 0, 7, 0, 0], [0, 0, 4, 0, -12, -2], [26, 4, 0, -4, 0, 0], [0, 0, 7, 0, -5, 5], [-10, -8, 0, -4, 0, 0], [0, 0, -4, 0, 16, 2], [0, 0, 14, 0, -4, 2], [-8, -6, 0, 4, 0, 0], [0, 0, -6, 0, 6, 1], [-4, -8, 0, -2, 0, 0], [18, 4, 0, 4, 0, 0], [0, 0, -2, 0, 3, -1], [1, -5, 0, -5, 0, 0], [14, -4, 0, -6, 0, 0], [0, 0, 4, 0, 11, -4], [9, 5, 0, 1, 0, 0], [0, 0, -6, 0, 20, 7], [0, 0, 7, 0, 10, -8], [0, 0, 6, 0, 4, -1], [14, 4, 0, -6, 0, 0], [-2, 8, 0, -8, 0, 0], [0, 0, 9, 0, 1, 3], [0, 0, -2, 0, 10, 4], [0, 0, 7, 0, -20, -12], [21, 9, 0, -1, 0, 0], [11, -11, 0, 1, 0, 0], [0, 0, 18, 0, 2, -3], [0, 0, 5, 0, 6, -8], [0, 0, 3, 0, 0, -2], [-8, -2, 0, 4, 0, 0], [18, 8, 0, -2, 0, 0], [-17, 1, 0, 11, 0, 0], [0, 0, 2, 0, -2, -16], [0, 0, -6, 0, -11, 5], [0, 0, -15, 0, 2, 0], [-9, 3, 0, -2, 0, 0], [17, -5, 0, 0, 0, 0], [0, 0, -11, 0, 10, 9], [0, 0, -17, 0, 5, 0], [0, 0, 2, 0, -4, 11], [18, 4, 0, -4, 0, 0], [-13, -9, 0, -5, 0, 0], [-12, 6, 0, -2, 0, 0], [-22, 4, 0, -3, 0, 0], [0, 0, -4, 0, 5, -1], [0, 0, -5, 0, -6, -10], [0, 12, 0, -6, 0, 0], [0, 0, -4, 0, -6, -1], [35, 7, 0, 1, 0, 0], [0, 0, -17, 0, -4, 0], [-5, 11, 0, -2, 0, 0], [9, 1, 0, 0, 0, 0], [0, 0, -3, 0, -9, 0], [0, 0, 8, 0, -5, 8], [0, 0, -1, 0, 7, 14], [4, 6, 0, -9, 0, 0], [4, 8, 0, -7, 0, 0], [24, -6, 0, 0, 0, 0], [0, 0, -4, 0, 9, -5], [0, 0, -20, 0, 15, 6], [30, 4, 0, 3, 0, 0], [-5, -5, 0, 7, 0, 0], [0, 0, 5, 0, -4, -8], [0, 0, 11, 0, 2, 1], [-4, -8, 0, 8, 0, 0], [0, 0, 0, 0, 12, 1], [0, 0, -13, 0, -3, -12], [5, -11, 0, 7, 0, 0], [0, 0, -6, 0, 2, 6], [0, 0, -18, 0, 12, 5], [0, 0, 6, 0, -15, -12], [-1, -13, 0, 3, 0, 0], [-8, -4, 0, 1, 0, 0], [36, 6, 0, -5, 0, 0], [0, 0, -15, 0, 3, -1], [2, 0, 0, -1, 0, 0], [0, 0, 24, 0, -16, -6], [0, 0, 13, 0, 6, 7], [0, 0, -6, 0, 0, -10], [-12, 8, 0, -8, 0, 0], [0, 0, -9, 0, 8, 17], [0, 0, -10, 0, -2, -3], [-3, -11, 0, 3, 0, 0], [0, 0, 1, 0, -12, 2], [-7, -13, 0, 9, 0, 0], [0, 0, -9, 0, 8, 6], [30, 10, 0, -3, 0, 0], [18, 16, 0, -1, 0, 0], [-10, 16, 0, 2, 0, 0], [0, 0, 11, 0, -5, 1], [-6, -6, 0, -8, 0, 0], [3, -1, 0, 5, 0, 0], [24, -12, 0, 6, 0, 0], [-13, 3, 0, 9, 0, 0], [0, 0, 4, 0, -10, -17], [-9, -5, 0, -3, 0, 0], [0, 0, -14, 0, -13, -1], [4, -12, 0, 5, 0, 0], [0, 0, -9, 0, 0, -1], [0, 0, 7, 0, -26, -13], [0, 0, 20, 0, -21, -9], [4, 10, 0, 2, 0, 0], [0, 0, -13, 0, -15, 10], [0, 0, -10, 0, -12, 3], [26, 8, 0, -6, 0, 0], [-36, 0, 0, 1, 0, 0], [0, 0, 17, 0, 2, -5], [0, 0, -10, 0, 20, 2], [12, 0, 0, 0, 0, 0], [-13, -7, 0, -6, 0, 0], [0, 0, 10, 0, -24, -8], [0, 0, -3, 0, 8, 9], [10, 0, 0, -9, 0, 0], [0, 0, 5, 0, 6, 6], [0, 0, -3, 0, -11, -9], [0, 0, -6, 0, -15, -13], [-21, 5, 0, 5, 0, 0], [17, 9, 0, 5, 0, 0], [0, 0, -5, 0, -5, 6], [-11, 11, 0, 3, 0, 0], [28, 14, 0, 2, 0, 0], [0, 0, 17, 0, -10, 4], [16, -2, 0, -5, 0, 0], [0, 0, -2, 0, 5, -6], [-6, -4, 0, -11, 0, 0], [-16, 0, 0, 3, 0, 0], [0, 0, -13, 0, -5, 1], [-1, 7, 0, -9, 0, 0], [0, 0, -28, 0, 16, 6], [0, 0, -8, 0, 5, 8], [28, 0, 0, 6, 0, 0], [35, 1, 0, -9, 0, 0], [0, 0, -10, 0, 13, -5], [16, 18, 0, -2, 0, 0], [0, 0, 4, 0, 22, 1], [0, 0, -9, 0, -4, 16], [29, 7, 0, 3, 0, 0], [22, -2, 0, -12, 0, 0], [25, 11, 0, -7, 0, 0], [0, 0, 2, 0, 11, 11], [0, 0, 2, 0, -3, 0], [6, -16, 0, -4, 0, 0], [0, 0, 17, 0, -20, -5], [-2, 6, 0, -6, 0, 0], [0, 0, 2, 0, -4, -3], [-34, 2, 0, 12, 0, 0], [0, 0, 7, 0, -10, -22], [6, 10, 0, 3, 0, 0], [15, -21, 0, 3, 0, 0], [-11, 3, 0, -13, 0, 0], [0, 0, 0, 0, 18, 12], [0, 0, 6, 0, -1, -11], [-13, 7, 0, 1, 0, 0], [0, 0, -7, 0, 8, 8], [-30, -4, 0, -4, 0, 0], [1, -11, 0, 11, 0, 0], [0, 0, -12, 0, 0, 13], [12, 0, 0, 4, 0, 0], [0, 0, -2, 0, 17, 11], [9, 11, 0, -4, 0, 0], [0, 0, 21, 0, 8, -5], [-14, 26, 0, -6, 0, 0], [0, 0, -10, 0, -4, -4], [-27, 13, 0, -3, 0, 0], [-18, -14, 0, 14, 0, 0], [0, 0, -2, 0, 7, -7], [0, 0, 5, 0, 14, 2], [0, -14, 0, 3, 0, 0], [0, 0, -10, 0, 13, 13], [-10, -16, 0, -6, 0, 0], [0, 0, 11, 0, 4, -12], [-52, -8, 0, 4, 0, 0], [14, 4, 0, -8, 0, 0], [0, 0, 4, 0, 0, -13], [0, 0, -7, 0, 20, 25], [0, 0, 7, 0, -4, 2], [0, 0, 6, 0, 22, -1], [0, 0, 2, 0, 12, 1], [-31, 1, 0, 3, 0, 0], [0, 0, 17, 0, 13, 6], [0, 0, 21, 0, 4, -4], [-37, -5, 0, 20, 0, 0], [-9, -23, 0, 4, 0, 0], [-31, 13, 0, -4, 0, 0], [0, 0, -14, 0, -5, -20], [0, 0, 5, 0, -2, 18], [-8, -18, 0, 1, 0, 0], [0, 0, -12, 0, 13, -8], [0, 0, -7, 0, -15, -7], [12, -18, 0, 9, 0, 0], [0, 0, 3, 0, 22, -9], [0, 0, -6, 0, 21, 15], [0, 0, -8, 0, -20, 4], [-1, 1, 0, -6, 0, 0], [23, 1, 0, -5, 0, 0], [0, 14, 0, -12, 0, 0], [0, 0, -14, 0, 30, 5], [-42, -4, 0, 7, 0, 0], [0, 0, -22, 0, -7, 5], [0, 10, 0, -15, 0, 0], [0, 0, 20, 0, -16, -22], [32, 10, 0, 8, 0, 0], [0, 0, 3, 0, -7, -29], [0, 0, -3, 0, 0, 1], [-26, 10, 0, -1, 0, 0], [34, -8, 0, -4, 0, 0], [-12, -2, 0, 16, 0, 0], [0, 0, -24, 0, 32, 16], [0, 0, 9, 0, 14, -7], [27, 3, 0, -9, 0, 0], [0, 0, -9, 0, -20, -3], [-33, -5, 0, 13, 0, 0], [30, -6, 0, -8, 0, 0], [0, 0, 3, 0, -8, 0], [-26, 10, 0, 9, 0, 0], [0, 0, 22, 0, -24, -8], [0, 0, -1, 0, 24, 22], [0, 0, 27, 0, -31, -14], [34, -4, 0, -11, 0, 0]], 'char_orbit_index': 4, 'field_poly': [8, -8, 6, -6, 3, -2, 1], 'hecke_orbit_code': 58547001347804888, 'hecke_ring_character_values': [[951, [1, 0, 0, 0, 0, 0]], [1901, [1, 0, 0, 0, 0, 0]], [1977, [-1, 0, 0, 0, 0, 0]], [401, [1, 0, 0, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 2, 2, 2, 4, 4], 'hecke_ring_inverse_denominators': [1, 4, 4, 4, 4, 4], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0], [1, -1, -1, 1, 2, 2], [-2, 0, -1, 2, -2, 0], [5, 3, 3, 1, -2, -2], [6, -4, 5, 2, 2, 0], [7, -7, -3, 3, -6, 2]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0], [-2, 2, -1, 2, -1, 0], [-8, 2, -4, 3, 0, 1], [4, 0, 5, -1, 1, -1], [12, -2, 6, -5, 2, -3], [-28, 14, -16, 11, -4, 5]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 6, 'label': '3800.2.d.n', 'level': 3800, 'maxp': 1999, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	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': 15200, 'analytic_conductor': 30.343152768086547, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [3800, 2, [951, 1901, 1977, 401], [2, 2, 1, 2]], 'conrey_index': 3649, 'cusp_dim': 576, 'dim': 82, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 11], 'hecke_orbit_code': 206191988440, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 4, 4, 6, 6, 6, 6, 6, 6, 12, 12], 'label': '3800.2.d', 'level': 3800, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 19], 'level_radical': 190, 'mf_dim': 624, 'mf_new_dim': 82, 'num_forms': 17, 'prim_orbit_index': 2, 'relative_dim': 82, 'sturm_bound': 1200, 'trace_bound': 19, 'trace_display': [0, 0, 0, 0], 'traces': [82, 0, 0, 0, 0, 0, 0, 0, -78, 0, -12, 0, 0, 0, 0, 0, 0, 0, 6, 0, 16, 0, 0, 0, 0, 0, 0, 0, -28, 0, -8, 0, 0, 0, 0, 0, 0, 0, -32, 0, -4, 0, 0, 0, 0, 0, 0, 0, -42, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 8, 0, 48, 0, 0, 0, 0, 0, 0, 0, -16, 0, 98, 0, 0, 0, 0, 0, 0, 0, -12, 0, 32, 0, 0, 0, 0, 0, 0, 0, -52, 0, -4, 0, 0, 0, 0, 0, 0, 0, 44, 0, -40, 0, 0, 0, 0, 0, 0, 0, -36, 0, 102, 0, 0, 0, 0, 0, 0, 0, -32, 0, -4, 0, 0, 0, 0, 0, 0, 0, 36, 0, 104, 0, 0, 0, 0, 0, 0, 0, -40, 0, 72, 0, 0, 0, 0, 0, 0, 0, -96, 0, 112, 0, 0, 0, 0, 0, 0, 0, -122, 0, -30, 0, 0, 0, 0, 0, 0, 0, -80, 0, 76, 0, 0, 0, 0, 0, 0, 0, -152, 0, -8, 0, 0, 0, 0, 0, 0, 0, -40, 0, 120, 0, 0, 0, 0, 0, 0, 0, -20, 0, 48, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 152, 0, 0, 0, 0, 0, 0, 0, 8, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -184, 0, 140, 0, 0, 0, 0, 0, 0, 0, 68, 0, -44, 0, 0, 0, 0, 0, 0, 0, 88, 0, -68, 0, 0, 0, 0, 0, 0, 0, -62, 0, -160, 0, 0, 0, 0, 0, 0, 0, 8, 0, 68, 0, 0, 0, 0, 0, 0, 0, -16, 0, -64, 0, 0, 0, 0, 0, 0, 0, -128, 0, -144, 0, 0, 0, 0, 0, 0, 0, -20, 0, 104, 0, 0, 0, 0, 0, 0, 0, 192, 0, -32, 0, 0, 0, 0, 0, 0, 0, -24, 0, -88, 0, 0, 0, 0, 0, 0, 0, -112, 0, 82, 0, 0, 0, 0, 0, 0, 0, 100, 0, -40, 0, 0, 0, 0, 0, 0, 0, -80, 0, 16, 0, 0, 0, 0, 0, 0, 0, -8, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, 36, 0, -120, 0, 0, 0, 0, 0, 0, 0, 288, 0, -52, 0, 0, 0, 0, 0, 0, 0, 56, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, -74, 0, 0, 0, 0, 0, 0, 0, 92, 0, 144, 0, 0, 0, 0, 0, 0, 0, -168, 0, 224, 0, 0, 0, 0, 0, 0, 0, 88, 0, 88, 0, 0, 0, 0, 0, 0, 0, -20, 0, 112, 0, 0, 0, 0, 0, 0, 0, -104, 0, -208, 0, 0, 0, 0, 0, 0, 0, 76, 0, -144, 0, 0, 0, 0, 0, 0, 0, 180, 0, 212, 0, 0, 0, 0, 0, 0, 0, 24, 0, -84, 0, 0, 0, 0, 0, 0, 0, -134, 0, -416, 0, 0, 0, 0, 0, 0, 0, 336, 0, 136, 0, 0, 0, 0, 0, 0, 0, 200, 0, -8, 0, 0, 0, 0, 0, 0, 0, -48, 0, 16, 0, 0, 0, 0, 0, 0, 0, -36, 0, 80, 0, 0, 0, 0, 0, 0, 0, 288, 0, 8, 0, 0, 0, 0, 0, 0, 0, -16, 0, -176, 0, 0, 0, 0, 0, 0, 0, 96, 0, -4, 0, 0, 0, 0, 0, 0, 0, 144, 0, 184, 0, 0, 0, 0, 0, 0, 0, -40, 0, -424, 0, 0, 0, 0, 0, 0, 0, 32, 0, 176, 0, 0, 0, 0, 0, 0, 0, 16, 0, -28, 0, 0, 0, 0, 0, 0, 0, 32, 0, -376, 0, 0, 0, 0, 0, 0, 0, -304, 0, -132, 0, 0, 0, 0, 0, 0, 0, 392, 0, -180, 0, 0, 0, 0, 0, 0, 0, 80, 0, 48, 0, 0, 0, 0, 0, 0, 0, -80, 0, 12, 0, 0, 0, 0, 0, 0, 0, -112, 0, -28, 0, 0, 0, 0, 0, 0, 0, -84, 0, -120, 0, 0, 0, 0, 0, 0, 0, 200, 0, -128, 0, 0, 0, 0, 0, 0, 0, -78, 0, -188, 0, 0, 0, 0, 0, 0, 0, 60, 0, 24, 0, 0, 0, 0, 0, 0, 0, 160, 0, -24, 0, 0, 0, 0, 0, 0, 0, 128, 0, -180, 0, 0, 0, 0, 0, 0, 0, -20, 0, 88, 0, 0, 0, 0, 0, 0, 0, 60, 0, 88, 0, 0, 0, 0, 0, 0, 0, -48, 0, -120, 0, 0, 0, 0, 0, 0, 0, -116, 0, -252, 0, 0, 0, 0, 0, 0, 0, 20, 0, 264, 0, 0, 0, 0, 0, 0, 0, 32, 0, -248, 0, 0, 0, 0, 0, 0, 0, 92, 0, -128, 0, 0, 0, 0, 0, 0, 0, 56, 0, 298, 0, 0, 0, 0, 0, 0, 0, 288, 0, -8, 0, 0, 0, 0, 0, 0, 0, -60, 0, -72, 0, 0, 0, 0, 0, 0, 0, 200, 0, -96, 0, 0, 0, 0, 0, 0, 0, 320, 0, -44, 0, 0, 0, 0, 0, 0, 0, 376, 0, -244, 0, 0, 0, 0, 0, 0, 0, 200, 0, -64, 0, 0, 0, 0, 0, 0, 0, 36, 0, -248, 0, 0, 0, 0, 0, 0, 0, -340, 0, 56, 0, 0, 0, 0, 0, 0, 0, 184, 0, -74, 0, 0, 0, 0, 0, 0, 0, 288, 0, -292, 0, 0, 0, 0, 0, 0, 0, 144, 0, -140, 0, 0, 0, 0, 0, 0, 0, 224, 0, -54, 0, 0, 0, 0, 0, 0, 0, -24, 0, -152, 0, 0, 0, 0, 0, 0, 0, 88, 0, 196, 0, 0, 0, 0, 0, 0, 0, -72, 0, 320, 0, 0, 0, 0, 0, 0, 0, 228, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 1153384
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 6, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3800.2.d.n', 'source_level': 3800, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '760.2.a.i', 'target_level': 760, 'twist_class_label': '760.2.a.i', 'twist_class_level': 760, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1153385
    {'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 6, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3800.2.d.n', 'source_level': 3800, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '1520.2.a.q', 'target_level': 1520, 'twist_class_label': '760.2.a.i', 'twist_class_level': 760, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1153386
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 6, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3800.2.d.n', 'source_level': 3800, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 23, 'target_is_minimal': False, 'target_label': '3800.2.a.w', 'target_level': 3800, 'twist_class_label': '760.2.a.i', 'twist_class_level': 760, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1153387
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 4, 'source_dim': 6, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3800.2.d.n', 'source_level': 3800, 'target_char_orbit': 4, 'target_dim': 6, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '3800.2.d.n', 'target_level': 3800, 'twist_class_label': '760.2.a.i', 'twist_class_level': 760, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1153388
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 6, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3800.2.d.n', 'source_level': 3800, 'target_char_orbit': 4, 'target_dim': 6, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '3800.2.d.n', 'target_level': 3800, 'twist_class_label': '760.2.a.i', 'twist_class_level': 760, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1153389
    {'conductor': 40, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 6, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3800.2.d.n', 'source_level': 3800, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 44, 'target_is_minimal': False, 'target_label': '6080.2.a.br', 'target_level': 6080, 'twist_class_label': '760.2.a.i', 'twist_class_level': 760, 'twisting_char_label': '40.k', 'twisting_char_orbit': 11, 'weight': 2}
  • id: 1153390
    {'conductor': 40, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 6, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3800.2.d.n', 'source_level': 3800, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 50, 'target_is_minimal': False, 'target_label': '6080.2.a.bx', 'target_level': 6080, 'twist_class_label': '760.2.a.i', 'twist_class_level': 760, 'twisting_char_label': '40.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 1153391
    {'conductor': 15, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 6, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3800.2.d.n', 'source_level': 3800, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 39, 'target_is_minimal': False, 'target_label': '6840.2.a.bm', 'target_level': 6840, 'twist_class_label': '760.2.a.i', 'twist_class_level': 760, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1153392
    {'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 6, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3800.2.d.n', 'source_level': 3800, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 42, 'target_is_minimal': False, 'target_label': '7600.2.a.bp', 'target_level': 7600, 'twist_class_label': '760.2.a.i', 'twist_class_level': 760, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3370025
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 58547001347804888, 'p': 2}
  • id: 3370026
    {'charpoly_factorization': [[[4, 0, 20, 0, 9, 0, 1], 1]], 'hecke_orbit_code': 58547001347804888, 'p': 3}
  • id: 3370027
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 58547001347804888, 'p': 5}
  • id: 3370028
    {'charpoly_factorization': [[[256, 0, 224, 0, 33, 0, 1], 1]], 'hecke_orbit_code': 58547001347804888, 'p': 7}
  • id: 3370029
    {'charpoly_factorization': [[[16, -28, 0, 1], 2]], 'hecke_orbit_code': 58547001347804888, 'p': 11}
  • id: 3370030
    {'charpoly_factorization': [[[7396, 0, 2148, 0, 89, 0, 1], 1]], 'hecke_orbit_code': 58547001347804888, 'p': 13}
  • id: 3370031
    {'charpoly_factorization': [[[16, 0, 40, 0, 17, 0, 1], 1]], 'hecke_orbit_code': 58547001347804888, 'p': 17}
  • id: 3370032
    {'charpoly_factorization': [[[1, 1], 6]], 'hecke_orbit_code': 58547001347804888, 'p': 19}
  • id: 3370033
    {'charpoly_factorization': [[[64, 0, 256, 0, 41, 0, 1], 1]], 'hecke_orbit_code': 58547001347804888, 'p': 23}
  • id: 3370034
    {'charpoly_factorization': [[[292, -44, -7, 1], 2]], 'hecke_orbit_code': 58547001347804888, 'p': 29}
  • id: 3370035
    {'charpoly_factorization': [[[32, -16, -6, 1], 2]], 'hecke_orbit_code': 58547001347804888, 'p': 31}
  • id: 3370036
    {'charpoly_factorization': [[[59536, 0, 6116, 0, 148, 0, 1], 1]], 'hecke_orbit_code': 58547001347804888, 'p': 37}
  • id: 3370037
    {'charpoly_factorization': [[[-232, 100, 22, 1], 2]], 'hecke_orbit_code': 58547001347804888, 'p': 41}
  • id: 3370038
    {'charpoly_factorization': [[[123904, 0, 8064, 0, 164, 0, 1], 1]], 'hecke_orbit_code': 58547001347804888, 'p': 43}
  • id: 3370039
    {'charpoly_factorization': [[[16384, 0, 12544, 0, 224, 0, 1], 1]], 'hecke_orbit_code': 58547001347804888, 'p': 47}
  • id: 3370040
    {'charpoly_factorization': [[[1800964, 0, 47012, 0, 385, 0, 1], 1]], 'hecke_orbit_code': 58547001347804888, 'p': 53}
  • id: 3370041
    {'charpoly_factorization': [[[-1544, -140, 11, 1], 2]], 'hecke_orbit_code': 58547001347804888, 'p': 59}
  • id: 3370042
    {'charpoly_factorization': [[[-352, 24, 16, 1], 2]], 'hecke_orbit_code': 58547001347804888, 'p': 61}
  • id: 3370043
    {'charpoly_factorization': [[[68644, 0, 9476, 0, 201, 0, 1], 1]], 'hecke_orbit_code': 58547001347804888, 'p': 67}
  • id: 3370044
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 58547001347804888, 'p': 71}
  • id: 3370045
    {'charpoly_factorization': [[[1507984, 0, 41864, 0, 369, 0, 1], 1]], 'hecke_orbit_code': 58547001347804888, 'p': 73}
  • id: 3370046
    {'charpoly_factorization': [[[496, 208, 26, 1], 2]], 'hecke_orbit_code': 58547001347804888, 'p': 79}
  • id: 3370047
    {'charpoly_factorization': [[[256, 0, 1856, 0, 100, 0, 1], 1]], 'hecke_orbit_code': 58547001347804888, 'p': 83}
  • id: 3370048
    {'charpoly_factorization': [[[1256, -252, -6, 1], 2]], 'hecke_orbit_code': 58547001347804888, 'p': 89}
  • id: 3370049
    {'charpoly_factorization': [[[85264, 0, 8036, 0, 180, 0, 1], 1]], 'hecke_orbit_code': 58547001347804888, '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': 4, 'hecke_orbit': 14, 'label': '3800.2.d.n', 'level': 3800, '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: 59249677
    {'hecke_orbit_code': 58547001347804888, 'n': 1, 'trace_an': 6}
  • id: 59249678
    {'hecke_orbit_code': 58547001347804888, 'n': 2, 'trace_an': 0}
  • id: 59249679
    {'hecke_orbit_code': 58547001347804888, 'n': 3, 'trace_an': 0}
  • id: 59249680
    {'hecke_orbit_code': 58547001347804888, 'n': 4, 'trace_an': 0}
  • id: 59249681
    {'hecke_orbit_code': 58547001347804888, 'n': 5, 'trace_an': 0}
  • id: 59249682
    {'hecke_orbit_code': 58547001347804888, 'n': 6, 'trace_an': 0}
  • id: 59249683
    {'hecke_orbit_code': 58547001347804888, 'n': 7, 'trace_an': 0}
  • id: 59249684
    {'hecke_orbit_code': 58547001347804888, 'n': 8, 'trace_an': 0}
  • id: 59249685
    {'hecke_orbit_code': 58547001347804888, 'n': 9, 'trace_an': 0}
  • id: 59249686
    {'hecke_orbit_code': 58547001347804888, 'n': 10, 'trace_an': 0}
  • id: 59249687
    {'hecke_orbit_code': 58547001347804888, 'n': 11, 'trace_an': 0}
  • id: 59249688
    {'hecke_orbit_code': 58547001347804888, 'n': 12, 'trace_an': 0}
  • id: 59249689
    {'hecke_orbit_code': 58547001347804888, 'n': 13, 'trace_an': 0}
  • id: 59249690
    {'hecke_orbit_code': 58547001347804888, 'n': 14, 'trace_an': 0}
  • id: 59249691
    {'hecke_orbit_code': 58547001347804888, 'n': 15, 'trace_an': 0}
  • id: 59249692
    {'hecke_orbit_code': 58547001347804888, 'n': 16, 'trace_an': 0}
  • id: 59249693
    {'hecke_orbit_code': 58547001347804888, 'n': 17, 'trace_an': 0}
  • id: 59249694
    {'hecke_orbit_code': 58547001347804888, 'n': 18, 'trace_an': 0}
  • id: 59249695
    {'hecke_orbit_code': 58547001347804888, 'n': 19, 'trace_an': -6}
  • id: 59249696
    {'hecke_orbit_code': 58547001347804888, 'n': 20, 'trace_an': 0}
  • id: 59249697
    {'hecke_orbit_code': 58547001347804888, 'n': 21, 'trace_an': -26}
  • id: 59249698
    {'hecke_orbit_code': 58547001347804888, 'n': 22, 'trace_an': 0}
  • id: 59249699
    {'hecke_orbit_code': 58547001347804888, 'n': 23, 'trace_an': 0}
  • id: 59249700
    {'hecke_orbit_code': 58547001347804888, 'n': 24, 'trace_an': 0}
  • id: 59249701
    {'hecke_orbit_code': 58547001347804888, 'n': 25, 'trace_an': 0}
  • id: 59249702
    {'hecke_orbit_code': 58547001347804888, 'n': 26, 'trace_an': 0}
  • id: 59249703
    {'hecke_orbit_code': 58547001347804888, 'n': 27, 'trace_an': 0}
  • id: 59249704
    {'hecke_orbit_code': 58547001347804888, 'n': 28, 'trace_an': 0}
  • id: 59249705
    {'hecke_orbit_code': 58547001347804888, 'n': 29, 'trace_an': 14}
  • id: 59249706
    {'hecke_orbit_code': 58547001347804888, 'n': 30, 'trace_an': 0}
  • id: 59249707
    {'hecke_orbit_code': 58547001347804888, 'n': 31, 'trace_an': 12}
  • id: 59249708
    {'hecke_orbit_code': 58547001347804888, 'n': 32, 'trace_an': 0}
  • id: 59249709
    {'hecke_orbit_code': 58547001347804888, 'n': 33, 'trace_an': 0}
  • id: 59249710
    {'hecke_orbit_code': 58547001347804888, 'n': 34, 'trace_an': 0}
  • id: 59249711
    {'hecke_orbit_code': 58547001347804888, 'n': 35, 'trace_an': 0}
  • id: 59249712
    {'hecke_orbit_code': 58547001347804888, 'n': 36, 'trace_an': 0}
  • id: 59249713
    {'hecke_orbit_code': 58547001347804888, 'n': 37, 'trace_an': 0}
  • id: 59249714
    {'hecke_orbit_code': 58547001347804888, 'n': 38, 'trace_an': 0}
  • id: 59249715
    {'hecke_orbit_code': 58547001347804888, 'n': 39, 'trace_an': -6}
  • id: 59249716
    {'hecke_orbit_code': 58547001347804888, 'n': 40, 'trace_an': 0}
  • id: 59249717
    {'hecke_orbit_code': 58547001347804888, 'n': 41, 'trace_an': -44}
  • id: 59249718
    {'hecke_orbit_code': 58547001347804888, 'n': 42, 'trace_an': 0}
  • id: 59249719
    {'hecke_orbit_code': 58547001347804888, 'n': 43, 'trace_an': 0}
  • id: 59249720
    {'hecke_orbit_code': 58547001347804888, 'n': 44, 'trace_an': 0}
  • id: 59249721
    {'hecke_orbit_code': 58547001347804888, 'n': 45, 'trace_an': 0}
  • id: 59249722
    {'hecke_orbit_code': 58547001347804888, 'n': 46, 'trace_an': 0}
  • id: 59249723
    {'hecke_orbit_code': 58547001347804888, 'n': 47, 'trace_an': 0}
  • id: 59249724
    {'hecke_orbit_code': 58547001347804888, 'n': 48, 'trace_an': 0}
  • id: 59249725
    {'hecke_orbit_code': 58547001347804888, 'n': 49, 'trace_an': -24}
  • id: 59249726
    {'hecke_orbit_code': 58547001347804888, 'n': 50, 'trace_an': 0}
  • id: 59249727
    {'hecke_orbit_code': 58547001347804888, 'n': 51, 'trace_an': -6}
  • id: 59249728
    {'hecke_orbit_code': 58547001347804888, 'n': 52, 'trace_an': 0}
  • id: 59249729
    {'hecke_orbit_code': 58547001347804888, 'n': 53, 'trace_an': 0}
  • id: 59249730
    {'hecke_orbit_code': 58547001347804888, 'n': 54, 'trace_an': 0}
  • id: 59249731
    {'hecke_orbit_code': 58547001347804888, 'n': 55, 'trace_an': 0}
  • id: 59249732
    {'hecke_orbit_code': 58547001347804888, 'n': 56, 'trace_an': 0}
  • id: 59249733
    {'hecke_orbit_code': 58547001347804888, 'n': 57, 'trace_an': 0}
  • id: 59249734
    {'hecke_orbit_code': 58547001347804888, 'n': 58, 'trace_an': 0}
  • id: 59249735
    {'hecke_orbit_code': 58547001347804888, 'n': 59, 'trace_an': -22}
  • id: 59249736
    {'hecke_orbit_code': 58547001347804888, 'n': 60, 'trace_an': 0}
  • id: 59249737
    {'hecke_orbit_code': 58547001347804888, 'n': 61, 'trace_an': -32}
  • id: 59249738
    {'hecke_orbit_code': 58547001347804888, 'n': 62, 'trace_an': 0}
  • id: 59249739
    {'hecke_orbit_code': 58547001347804888, 'n': 63, 'trace_an': 0}
  • id: 59249740
    {'hecke_orbit_code': 58547001347804888, 'n': 64, 'trace_an': 0}
  • id: 59249741
    {'hecke_orbit_code': 58547001347804888, 'n': 65, 'trace_an': 0}
  • id: 59249742
    {'hecke_orbit_code': 58547001347804888, 'n': 66, 'trace_an': 0}
  • id: 59249743
    {'hecke_orbit_code': 58547001347804888, 'n': 67, 'trace_an': 0}
  • id: 59249744
    {'hecke_orbit_code': 58547001347804888, 'n': 68, 'trace_an': 0}
  • id: 59249745
    {'hecke_orbit_code': 58547001347804888, 'n': 69, 'trace_an': 2}
  • id: 59249746
    {'hecke_orbit_code': 58547001347804888, 'n': 70, 'trace_an': 0}
  • id: 59249747
    {'hecke_orbit_code': 58547001347804888, 'n': 71, 'trace_an': 0}
  • id: 59249748
    {'hecke_orbit_code': 58547001347804888, 'n': 72, 'trace_an': 0}
  • id: 59249749
    {'hecke_orbit_code': 58547001347804888, 'n': 73, 'trace_an': 0}
  • id: 59249750
    {'hecke_orbit_code': 58547001347804888, 'n': 74, 'trace_an': 0}
  • id: 59249751
    {'hecke_orbit_code': 58547001347804888, 'n': 75, 'trace_an': 0}
  • id: 59249752
    {'hecke_orbit_code': 58547001347804888, 'n': 76, 'trace_an': 0}
  • id: 59249753
    {'hecke_orbit_code': 58547001347804888, 'n': 77, 'trace_an': 0}
  • id: 59249754
    {'hecke_orbit_code': 58547001347804888, 'n': 78, 'trace_an': 0}
  • id: 59249755
    {'hecke_orbit_code': 58547001347804888, 'n': 79, 'trace_an': -52}
  • id: 59249756
    {'hecke_orbit_code': 58547001347804888, 'n': 80, 'trace_an': 0}
  • id: 59249757
    {'hecke_orbit_code': 58547001347804888, 'n': 81, 'trace_an': -26}
  • id: 59249758
    {'hecke_orbit_code': 58547001347804888, 'n': 82, 'trace_an': 0}
  • id: 59249759
    {'hecke_orbit_code': 58547001347804888, 'n': 83, 'trace_an': 0}
  • id: 59249760
    {'hecke_orbit_code': 58547001347804888, 'n': 84, 'trace_an': 0}
  • id: 59249761
    {'hecke_orbit_code': 58547001347804888, 'n': 85, 'trace_an': 0}
  • id: 59249762
    {'hecke_orbit_code': 58547001347804888, 'n': 86, 'trace_an': 0}
  • id: 59249763
    {'hecke_orbit_code': 58547001347804888, 'n': 87, 'trace_an': 0}
  • id: 59249764
    {'hecke_orbit_code': 58547001347804888, 'n': 88, 'trace_an': 0}
  • id: 59249765
    {'hecke_orbit_code': 58547001347804888, 'n': 89, 'trace_an': 12}
  • id: 59249766
    {'hecke_orbit_code': 58547001347804888, 'n': 90, 'trace_an': 0}
  • id: 59249767
    {'hecke_orbit_code': 58547001347804888, 'n': 91, 'trace_an': 58}
  • id: 59249768
    {'hecke_orbit_code': 58547001347804888, 'n': 92, 'trace_an': 0}
  • id: 59249769
    {'hecke_orbit_code': 58547001347804888, 'n': 93, 'trace_an': 0}
  • id: 59249770
    {'hecke_orbit_code': 58547001347804888, 'n': 94, 'trace_an': 0}
  • id: 59249771
    {'hecke_orbit_code': 58547001347804888, 'n': 95, 'trace_an': 0}
  • id: 59249772
    {'hecke_orbit_code': 58547001347804888, 'n': 96, 'trace_an': 0}
  • id: 59249773
    {'hecke_orbit_code': 58547001347804888, 'n': 97, 'trace_an': 0}
  • id: 59249774
    {'hecke_orbit_code': 58547001347804888, 'n': 98, 'trace_an': 0}
  • id: 59249775
    {'hecke_orbit_code': 58547001347804888, 'n': 99, 'trace_an': -56}
  • id: 59249776
    {'hecke_orbit_code': 58547001347804888, 'n': 100, 'trace_an': 0}
  • id: 59249777
    {'hecke_orbit_code': 58547001347804888, 'n': 101, 'trace_an': -8}
  • id: 59249778
    {'hecke_orbit_code': 58547001347804888, 'n': 103, 'trace_an': 0}
  • id: 59249779
    {'hecke_orbit_code': 58547001347804888, 'n': 107, 'trace_an': 0}
  • id: 59249780
    {'hecke_orbit_code': 58547001347804888, 'n': 109, 'trace_an': -6}
  • id: 59249781
    {'hecke_orbit_code': 58547001347804888, 'n': 113, 'trace_an': 0}
  • id: 59249782
    {'hecke_orbit_code': 58547001347804888, 'n': 121, 'trace_an': 46}
  • id: 59249783
    {'hecke_orbit_code': 58547001347804888, 'n': 125, 'trace_an': 0}
  • id: 59249784
    {'hecke_orbit_code': 58547001347804888, 'n': 127, 'trace_an': 0}
  • id: 59249785
    {'hecke_orbit_code': 58547001347804888, 'n': 128, 'trace_an': 0}
  • id: 59249786
    {'hecke_orbit_code': 58547001347804888, 'n': 131, 'trace_an': -48}
  • id: 59249787
    {'hecke_orbit_code': 58547001347804888, 'n': 137, 'trace_an': 0}
  • id: 59249788
    {'hecke_orbit_code': 58547001347804888, 'n': 139, 'trace_an': -24}
  • id: 59249789
    {'hecke_orbit_code': 58547001347804888, 'n': 149, 'trace_an': -16}
  • id: 59249790
    {'hecke_orbit_code': 58547001347804888, 'n': 151, 'trace_an': 36}
  • id: 59249791
    {'hecke_orbit_code': 58547001347804888, 'n': 157, 'trace_an': 0}
  • id: 59249792
    {'hecke_orbit_code': 58547001347804888, 'n': 163, 'trace_an': 0}
  • id: 59249793
    {'hecke_orbit_code': 58547001347804888, 'n': 167, 'trace_an': 0}
  • id: 59249794
    {'hecke_orbit_code': 58547001347804888, 'n': 169, 'trace_an': -100}
  • id: 59249795
    {'hecke_orbit_code': 58547001347804888, 'n': 173, 'trace_an': 0}
  • id: 59249796
    {'hecke_orbit_code': 58547001347804888, 'n': 179, 'trace_an': -40}
  • id: 59249797
    {'hecke_orbit_code': 58547001347804888, 'n': 181, 'trace_an': -52}
  • id: 59249798
    {'hecke_orbit_code': 58547001347804888, 'n': 191, 'trace_an': -6}
  • id: 59249799
    {'hecke_orbit_code': 58547001347804888, 'n': 193, 'trace_an': 0}
  • id: 59249800
    {'hecke_orbit_code': 58547001347804888, 'n': 197, 'trace_an': 0}
  • id: 59249801
    {'hecke_orbit_code': 58547001347804888, 'n': 199, 'trace_an': -26}
  • id: 59249802
    {'hecke_orbit_code': 58547001347804888, 'n': 211, 'trace_an': 14}
  • id: 59249803
    {'hecke_orbit_code': 58547001347804888, 'n': 223, 'trace_an': 0}
  • id: 59249804
    {'hecke_orbit_code': 58547001347804888, 'n': 227, 'trace_an': 0}
  • id: 59249805
    {'hecke_orbit_code': 58547001347804888, 'n': 229, 'trace_an': 4}
  • id: 59249806
    {'hecke_orbit_code': 58547001347804888, 'n': 233, 'trace_an': 0}
  • id: 59249807
    {'hecke_orbit_code': 58547001347804888, 'n': 239, 'trace_an': -66}
  • id: 59249808
    {'hecke_orbit_code': 58547001347804888, 'n': 241, 'trace_an': -24}
  • id: 59249809
    {'hecke_orbit_code': 58547001347804888, 'n': 243, 'trace_an': 0}
  • id: 59249810
    {'hecke_orbit_code': 58547001347804888, 'n': 251, 'trace_an': 24}
  • id: 59249811
    {'hecke_orbit_code': 58547001347804888, 'n': 256, 'trace_an': 0}
  • id: 59249812
    {'hecke_orbit_code': 58547001347804888, 'n': 257, 'trace_an': 0}
  • id: 59249813
    {'hecke_orbit_code': 58547001347804888, 'n': 263, 'trace_an': 0}
  • id: 59249814
    {'hecke_orbit_code': 58547001347804888, 'n': 269, 'trace_an': 84}
  • id: 59249815
    {'hecke_orbit_code': 58547001347804888, 'n': 271, 'trace_an': 10}
  • id: 59249816
    {'hecke_orbit_code': 58547001347804888, 'n': 277, 'trace_an': 0}
  • id: 59249817
    {'hecke_orbit_code': 58547001347804888, 'n': 281, 'trace_an': 12}
  • id: 59249818
    {'hecke_orbit_code': 58547001347804888, 'n': 283, 'trace_an': 0}
  • id: 59249819
    {'hecke_orbit_code': 58547001347804888, 'n': 289, 'trace_an': 68}
  • id: 59249820
    {'hecke_orbit_code': 58547001347804888, 'n': 293, 'trace_an': 0}
  • id: 59249821
    {'hecke_orbit_code': 58547001347804888, 'n': 307, 'trace_an': 0}
  • id: 59249822
    {'hecke_orbit_code': 58547001347804888, 'n': 311, 'trace_an': -78}
  • id: 59249823
    {'hecke_orbit_code': 58547001347804888, 'n': 313, 'trace_an': 0}
  • id: 59249824
    {'hecke_orbit_code': 58547001347804888, 'n': 317, 'trace_an': 0}
  • id: 59249825
    {'hecke_orbit_code': 58547001347804888, 'n': 331, 'trace_an': 138}
  • id: 59249826
    {'hecke_orbit_code': 58547001347804888, 'n': 337, 'trace_an': 0}
  • id: 59249827
    {'hecke_orbit_code': 58547001347804888, 'n': 343, 'trace_an': 0}
  • id: 59249828
    {'hecke_orbit_code': 58547001347804888, 'n': 347, 'trace_an': 0}
  • id: 59249829
    {'hecke_orbit_code': 58547001347804888, 'n': 349, 'trace_an': -52}
  • id: 59249830
    {'hecke_orbit_code': 58547001347804888, 'n': 353, 'trace_an': 0}
  • id: 59249831
    {'hecke_orbit_code': 58547001347804888, 'n': 359, 'trace_an': 26}
  • id: 59249832
    {'hecke_orbit_code': 58547001347804888, 'n': 361, 'trace_an': 6}
  • id: 59249833
    {'hecke_orbit_code': 58547001347804888, 'n': 367, 'trace_an': 0}
  • id: 59249834
    {'hecke_orbit_code': 58547001347804888, 'n': 373, 'trace_an': 0}
  • id: 59249835
    {'hecke_orbit_code': 58547001347804888, 'n': 379, 'trace_an': 50}
  • id: 59249836
    {'hecke_orbit_code': 58547001347804888, 'n': 383, 'trace_an': 0}
  • id: 59249837
    {'hecke_orbit_code': 58547001347804888, 'n': 389, 'trace_an': 16}
  • id: 59249838
    {'hecke_orbit_code': 58547001347804888, 'n': 397, 'trace_an': 0}
  • id: 59249839
    {'hecke_orbit_code': 58547001347804888, 'n': 401, 'trace_an': -4}
  • id: 59249840
    {'hecke_orbit_code': 58547001347804888, 'n': 409, 'trace_an': 76}
  • id: 59249841
    {'hecke_orbit_code': 58547001347804888, 'n': 419, 'trace_an': 36}
  • id: 59249842
    {'hecke_orbit_code': 58547001347804888, 'n': 421, 'trace_an': -38}
  • id: 59249843
    {'hecke_orbit_code': 58547001347804888, 'n': 431, 'trace_an': -112}
  • id: 59249844
    {'hecke_orbit_code': 58547001347804888, 'n': 433, 'trace_an': 0}
  • id: 59249845
    {'hecke_orbit_code': 58547001347804888, 'n': 439, 'trace_an': 20}
  • id: 59249846
    {'hecke_orbit_code': 58547001347804888, 'n': 443, 'trace_an': 0}
  • id: 59249847
    {'hecke_orbit_code': 58547001347804888, 'n': 449, 'trace_an': 148}
  • id: 59249848
    {'hecke_orbit_code': 58547001347804888, 'n': 457, 'trace_an': 0}
  • id: 59249849
    {'hecke_orbit_code': 58547001347804888, 'n': 461, 'trace_an': -68}
  • id: 59249850
    {'hecke_orbit_code': 58547001347804888, 'n': 463, 'trace_an': 0}
  • id: 59249851
    {'hecke_orbit_code': 58547001347804888, 'n': 467, 'trace_an': 0}
  • id: 59249852
    {'hecke_orbit_code': 58547001347804888, 'n': 479, 'trace_an': -40}
  • id: 59249853
    {'hecke_orbit_code': 58547001347804888, 'n': 487, 'trace_an': 0}
  • id: 59249854
    {'hecke_orbit_code': 58547001347804888, 'n': 491, 'trace_an': -28}
  • id: 59249855
    {'hecke_orbit_code': 58547001347804888, 'n': 499, 'trace_an': 116}
  • id: 59249856
    {'hecke_orbit_code': 58547001347804888, 'n': 503, 'trace_an': 0}
  • id: 59249857
    {'hecke_orbit_code': 58547001347804888, 'n': 509, 'trace_an': -4}
  • id: 59249858
    {'hecke_orbit_code': 58547001347804888, 'n': 512, 'trace_an': 0}
  • id: 59249859
    {'hecke_orbit_code': 58547001347804888, 'n': 521, 'trace_an': 72}
  • id: 59249860
    {'hecke_orbit_code': 58547001347804888, 'n': 523, 'trace_an': 0}
  • id: 59249861
    {'hecke_orbit_code': 58547001347804888, 'n': 529, 'trace_an': 56}
  • id: 59249862
    {'hecke_orbit_code': 58547001347804888, 'n': 541, 'trace_an': 56}
  • id: 59249863
    {'hecke_orbit_code': 58547001347804888, 'n': 547, 'trace_an': 0}
  • id: 59249864
    {'hecke_orbit_code': 58547001347804888, 'n': 557, 'trace_an': 0}
  • id: 59249865
    {'hecke_orbit_code': 58547001347804888, 'n': 563, 'trace_an': 0}
  • id: 59249866
    {'hecke_orbit_code': 58547001347804888, 'n': 569, 'trace_an': 72}
  • id: 59249867
    {'hecke_orbit_code': 58547001347804888, 'n': 571, 'trace_an': -28}
  • id: 59249868
    {'hecke_orbit_code': 58547001347804888, 'n': 577, 'trace_an': 0}
  • id: 59249869
    {'hecke_orbit_code': 58547001347804888, 'n': 587, 'trace_an': 0}
  • id: 59249870
    {'hecke_orbit_code': 58547001347804888, 'n': 593, 'trace_an': 0}
  • id: 59249871
    {'hecke_orbit_code': 58547001347804888, 'n': 599, 'trace_an': 124}
  • id: 59249872
    {'hecke_orbit_code': 58547001347804888, 'n': 601, 'trace_an': 68}
  • id: 59249873
    {'hecke_orbit_code': 58547001347804888, 'n': 607, 'trace_an': 0}
  • id: 59249874
    {'hecke_orbit_code': 58547001347804888, 'n': 613, 'trace_an': 0}
  • id: 59249875
    {'hecke_orbit_code': 58547001347804888, 'n': 617, 'trace_an': 0}
  • id: 59249876
    {'hecke_orbit_code': 58547001347804888, 'n': 619, 'trace_an': -40}
  • id: 59249877
    {'hecke_orbit_code': 58547001347804888, 'n': 625, 'trace_an': 0}
  • id: 59249878
    {'hecke_orbit_code': 58547001347804888, 'n': 631, 'trace_an': 104}
  • id: 59249879
    {'hecke_orbit_code': 58547001347804888, 'n': 641, 'trace_an': -80}
  • id: 59249880
    {'hecke_orbit_code': 58547001347804888, 'n': 643, 'trace_an': 0}
  • id: 59249881
    {'hecke_orbit_code': 58547001347804888, 'n': 647, 'trace_an': 0}
  • id: 59249882
    {'hecke_orbit_code': 58547001347804888, 'n': 653, 'trace_an': 0}
  • id: 59249883
    {'hecke_orbit_code': 58547001347804888, 'n': 659, 'trace_an': -58}
  • id: 59249884
    {'hecke_orbit_code': 58547001347804888, 'n': 661, 'trace_an': 102}
  • id: 59249885
    {'hecke_orbit_code': 58547001347804888, 'n': 673, 'trace_an': 0}
  • id: 59249886
    {'hecke_orbit_code': 58547001347804888, 'n': 677, 'trace_an': 0}
  • id: 59249887
    {'hecke_orbit_code': 58547001347804888, 'n': 683, 'trace_an': 0}
  • id: 59249888
    {'hecke_orbit_code': 58547001347804888, 'n': 691, 'trace_an': 100}
  • id: 59249889
    {'hecke_orbit_code': 58547001347804888, 'n': 701, 'trace_an': -88}
  • id: 59249890
    {'hecke_orbit_code': 58547001347804888, 'n': 709, 'trace_an': -76}
  • id: 59249891
    {'hecke_orbit_code': 58547001347804888, 'n': 719, 'trace_an': -138}
  • id: 59249892
    {'hecke_orbit_code': 58547001347804888, 'n': 727, 'trace_an': 0}
  • id: 59249893
    {'hecke_orbit_code': 58547001347804888, 'n': 729, 'trace_an': 18}
  • id: 59249894
    {'hecke_orbit_code': 58547001347804888, 'n': 733, 'trace_an': 0}
  • id: 59249895
    {'hecke_orbit_code': 58547001347804888, 'n': 739, 'trace_an': -12}
  • id: 59249896
    {'hecke_orbit_code': 58547001347804888, 'n': 743, 'trace_an': 0}
  • id: 59249897
    {'hecke_orbit_code': 58547001347804888, 'n': 751, 'trace_an': 212}
  • id: 59249898
    {'hecke_orbit_code': 58547001347804888, 'n': 757, 'trace_an': 0}
  • id: 59249899
    {'hecke_orbit_code': 58547001347804888, 'n': 761, 'trace_an': -34}
  • id: 59249900
    {'hecke_orbit_code': 58547001347804888, 'n': 769, 'trace_an': 54}
  • id: 59249901
    {'hecke_orbit_code': 58547001347804888, 'n': 773, 'trace_an': 0}
  • id: 59249902
    {'hecke_orbit_code': 58547001347804888, 'n': 787, 'trace_an': 0}
  • id: 59249903
    {'hecke_orbit_code': 58547001347804888, 'n': 797, 'trace_an': 0}
  • id: 59249904
    {'hecke_orbit_code': 58547001347804888, 'n': 809, 'trace_an': 6}
  • id: 59249905
    {'hecke_orbit_code': 58547001347804888, 'n': 811, 'trace_an': 10}
  • id: 59249906
    {'hecke_orbit_code': 58547001347804888, 'n': 821, 'trace_an': 144}
  • id: 59249907
    {'hecke_orbit_code': 58547001347804888, 'n': 823, 'trace_an': 0}
  • id: 59249908
    {'hecke_orbit_code': 58547001347804888, 'n': 827, 'trace_an': 0}
  • id: 59249909
    {'hecke_orbit_code': 58547001347804888, 'n': 829, 'trace_an': 186}
  • id: 59249910
    {'hecke_orbit_code': 58547001347804888, 'n': 839, 'trace_an': -16}
  • id: 59249911
    {'hecke_orbit_code': 58547001347804888, 'n': 841, 'trace_an': 100}
  • id: 59249912
    {'hecke_orbit_code': 58547001347804888, 'n': 853, 'trace_an': 0}
  • id: 59249913
    {'hecke_orbit_code': 58547001347804888, 'n': 857, 'trace_an': 0}
  • id: 59249914
    {'hecke_orbit_code': 58547001347804888, 'n': 859, 'trace_an': -8}
  • id: 59249915
    {'hecke_orbit_code': 58547001347804888, 'n': 863, 'trace_an': 0}
  • id: 59249916
    {'hecke_orbit_code': 58547001347804888, 'n': 877, 'trace_an': 0}
  • id: 59249917
    {'hecke_orbit_code': 58547001347804888, 'n': 881, 'trace_an': 44}
  • id: 59249918
    {'hecke_orbit_code': 58547001347804888, 'n': 883, 'trace_an': 0}
  • id: 59249919
    {'hecke_orbit_code': 58547001347804888, 'n': 887, 'trace_an': 0}
  • id: 59249920
    {'hecke_orbit_code': 58547001347804888, 'n': 907, 'trace_an': 0}
  • id: 59249921
    {'hecke_orbit_code': 58547001347804888, 'n': 911, 'trace_an': 0}
  • id: 59249922
    {'hecke_orbit_code': 58547001347804888, 'n': 919, 'trace_an': -46}
  • id: 59249923
    {'hecke_orbit_code': 58547001347804888, 'n': 929, 'trace_an': 206}
  • id: 59249924
    {'hecke_orbit_code': 58547001347804888, 'n': 937, 'trace_an': 0}
  • id: 59249925
    {'hecke_orbit_code': 58547001347804888, 'n': 941, 'trace_an': 10}
  • id: 59249926
    {'hecke_orbit_code': 58547001347804888, 'n': 947, 'trace_an': 0}
  • id: 59249927
    {'hecke_orbit_code': 58547001347804888, 'n': 953, 'trace_an': 0}
  • id: 59249928
    {'hecke_orbit_code': 58547001347804888, 'n': 961, 'trace_an': -50}
  • id: 59249929
    {'hecke_orbit_code': 58547001347804888, 'n': 967, 'trace_an': 0}
  • id: 59249930
    {'hecke_orbit_code': 58547001347804888, 'n': 971, 'trace_an': -88}
  • id: 59249931
    {'hecke_orbit_code': 58547001347804888, 'n': 977, 'trace_an': 0}
  • id: 59249932
    {'hecke_orbit_code': 58547001347804888, 'n': 983, 'trace_an': 0}
  • id: 59249933
    {'hecke_orbit_code': 58547001347804888, 'n': 991, 'trace_an': -12}
  • id: 59249934
    {'hecke_orbit_code': 58547001347804888, 'n': 997, 'trace_an': 0}