Newform data - 1520.2.d.f

Formats: - HTML - YAML - JSON - 2026-08-08T08:03:19.851167

• 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': 6080, 'analytic_conductor': 12.137261107234618, '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': [1520, 2, [191, 1141, 1217, 401], [2, 2, 1, 2]], 'cm_discs': [], 'conrey_index': 609, 'dim': 4, 'field_disc': 1600, 'field_disc_factorization': [[2, 6], [5, 2]], 'field_poly': [4, 0, 6, 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': [[3, [4, 0, 6, 0, 1]], [7, [8, 0, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22518204328838640, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], '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': '1520.2.d.f', 'level': 1520, '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': '380.2.c.a', 'nf_label': '4.0.1600.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{1}q^{3}+\\beta _{2}q^{5}+(\\beta _{1}-\\beta _{3})q^{7}+\\beta _{2}q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1520.2.d', 'trace_display': [0, 0, 0, 0], 'trace_hash': 2201551311005306509, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.047', 'prec': 7}, {'__RealLiteral__': 0, 'data': '3.787', 'prec': 14}, {'__RealLiteral__': 0, 'data': '1.795', 'prec': 14}, {'__RealLiteral__': 0, 'data': '68.806', 'prec': 17}, {'__RealLiteral__': 0, 'data': '66.512', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1723.498', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.526', 'prec': 10}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -4, 0, -8, 0, 0, 0, 20, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -28, 0, -24, 0, 0, 0, 20, 0, 0, 0, -4, 0, 8, 0, 0, 0, -20, 0, 0, 0, -24, 0, -20, 0, 0, 0, 0, 0, 0, 0, -32, 0, 24, 0, 0, 0, 0, 0, 0, 0, 8, 0, -16, 0, 0, 0, 0, 0, 0, 0, 24, 0, 8, 0, 0, 0, 0, 0, 0, 0, -20, 0, 12, 0, 0, 0, 40, 0, 0, 0, -8, 0, 36, 0, 0, 0, 0, 0, 0, 0, -48, 0, 12, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, -24, 0, 0, 0, 40, 0, 0, 0, -12, 0, 32, 0, 0, 0, 0, 0, 0, 0, 36, 0, -48, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 24, 0, 0, 0, 0, 0, 0, 0, 16, 0, 48, 0, 0, 0, 20, 0, 0, 0, -64, 0, 12, 0, 0, 0, 0, 0, 0, 0, -12, 0, -8, 0, 0, 0, 0, 0, 0, 0, 72, 0, 72, 0, 0, 0, 0, 0, 0, 0, -4, 0, -64, 0, 0, 0, 0, 0, 0, 0, -48, 0, -8, 0, 0, 0, 0, 0, 0, 0, -48, 0, -48, 0, 0, 0, 40, 0, 0, 0, 24, 0, 40, 0, 0, 0, 0, 0, 0, 0, -24, 0, -4, 0, 0, 0, 60, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -44, 0, -4, 0, 0, 0, 40, 0, 0, 0, -48, 0, 96, 0, 0, 0, -60, 0, 0, 0, -60, 0, 12, 0, 0, 0, 0, 0, 0, 0, -40, 0, 52, 0, 0, 0, 0, 0, 0, 0, -96, 0, 24, 0, 0, 0, 0, 0, 0, 0, -84, 0, 48, 0, 0, 0, 80, 0, 0, 0, -48, 0, -64, 0, 0, 0, 40, 0, 0, 0, 36, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -80, 0, 12, 0, 0, 0, 0, 0, 0, 0, 24, 0, -32, 0, 0, 0, 120, 0, 0, 0, 8, 0, 0, 0, 0, 0, 60, 0, 0, 0, -16, 0, 8, 0, 0, 0, 0, 0, 0, 0, -48, 0, 56, 0, 0, 0, 0, 0, 0, 0, -104, 0, -24, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -80, 0, 0, 0, 48, 0, -72, 0, 0, 0, 120, 0, 0, 0, 64, 0, 24, 0, 0, 0, 0, 0, 0, 0, -72, 0, -88, 0, 0, 0, -20, 0, 0, 0, 36, 0, 84, 0, 0, 0, 0, 0, 0, 0, -24, 0, 48, 0, 0, 0, 60, 0, 0, 0, 12, 0, 52, 0, 0, 0, 20, 0, 0, 0, 96, 0, 48, 0, 0, 0, 0, 0, 0, 0, 76, 0, 72, 0, 0, 0, -40, 0, 0, 0, -20, 0, 40, 0, 0, 0, 0, 0, 0, 0, -12, 0, 20, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -60, 0, 0, 0, -24, 0, -16, 0, 0, 0, 0, 0, 0, 0, 120, 0, -20, 0, 0, 0, 0, 0, 0, 0, 4, 0, 48, 0, 0, 0, 0, 0, 0, 0, -16, 0, -80, 0, 0, 0, -80, 0, 0, 0, -144, 0, -40, 0, 0, 0, -120, 0, 0, 0, 80, 0, 24, 0, 0, 0, 0, 0, 0, 0, 84, 0, -16, 0, 0, 0, 100, 0, 0, 0, -24, 0, -20, 0, 0, 0, 0, 0, 0, 0, 40, 0, -120, 0, 0, 0, -120, 0, 0, 0, -112, 0, -32, 0, 0, 0, 0, 0, 0, 0, -144, 0, -104, 0, 0, 0, 0, 0, 0, 0, -164, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, -60, 0, 0, 0, 0, 0, 0, 0, 84, 0, -20, 0, 0, 0, -60, 0, 0, 0, -80, 0, 84, 0, 0, 0, 120, 0, 0, 0, -80, 0, 120, 0, 0, 0, 0, 0, 0, 0, 12, 0, -120, 0, 0, 0, 0, 0, 0, 0, 12, 0, 144, 0, 0, 0, 0, 0, 0, 0, 32, 0, 28, 0, 0, 0, 140, 0, 0, 0, 168, 0, -136, 0, 0, 0, 0, 0, 0, 0, -176, 0, -36, 0, 0, 0, 0, 0, 0, 0, 20, 0, 52, 0, 0, 0, 80, 0, 0, 0, 24, 0, 32, 0, 0, 0, 0, 0, 0, 0, 16, 0, 24, 0, 0, 0, -60, 0, 0, 0, -144, 0, -80, 0, 0, 0, 80, 0, 0, 0, 48, 0, -32, 0, 0, 0, 0, 0, 0, 0, 120, 0, 120, 0, 0, 0, 0, 0, 0, 0, -72, 0, 24, 0, 0, 0, 0, 0, 0, 0, 72, 0, -36, 0, 0, 0, -60, 0, 0, 0, 80, 0, 96, 0, 0, 0, -20, 0, 0, 0, 160, 0, 48, 0, 0, 0, 0, 0, 0, 0, -96, 0, 108, 0, 0, 0, 0, 0, 0, 0, 36, 0, -60, 0, 0, 0, 0, 0, 0, 0, 168, 0, -108, 0, 0, 0, -40, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 20, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, -48, 0, 4, 0, 0, 0, 0, 0, 0, 0, -144, 0, -120, 0, 0, 0, 80, 0, 0, 0, 168, 0, 76, 0, 0, 0, -80, 0, 0, 0, -48, 0, -60, 0, 0, 0, 0, 0, 0, 0, -8, 0, 72, 0, 0, 0, -140, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, -48, 0, 0, 0, 0, 0, 0, 0, 48, 0, -96, 0, 0, 0, 60, 0, 0, 0, -40, 0, 4, 0, 0, 0, 0, 0, 0, 0, -72, 0, 88, 0, 0, 0, -120, 0, 0, 0, -48, 0, 132, 0, 0, 0, 0, 0, 0, 0, 48, 0, -176, 0, 0, 0, 20, 0, 0, 0, 36, 0, -80, 0, 0, 0, -120, 0, 0, 0, -56, 0, 60, 0, 0, 0, 0, 0, 0, 0, 12, 0, -80, 0, 0, 0, 0, 0, 0, 0, -192, 0, -144, 0, 0, 0, 0, 0, 0, 0, -120, 0, 72, 0, 0, 0, -120, 0, 0, 0, -112, 0, -24, 0, 0, 0, 200, 0, 0, 0, -72, 0, 16, 0, 0, 0, 0, 0, 0, 0, 180, 0, 24, 0, 0, 0, 100, 0, 0, 0, 24, 0, 40, 0, 0, 0, 0, 0, 0, 0, -168, 0, -96, 0, 0, 0, -60, 0, 0, 0, 172, 0, 0, 0, 0, 0, 160, 0, 0, 0, 20, 0, -48, 0, 0, 0, 0, 0, 0, 0, -72, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, -160, 0, 0, 0, -24, 0, -96, 0, 0, 0, -240, 0, 0, 0, -112, 0, 24, 0, 0, 0, 0, 0, 0, 0, 96, 0, 168, 0, 0, 0, -20, 0, 0, 0, 48, 0, -112, 0, 0, 0, 0, 0, 0, 0, 128, 0, -48, 0, 0, 0, 0, 0, 0, 0, 192, 0, -60, 0, 0, 0, 160, 0, 0, 0, 60, 0, -116, 0, 0, 0, 0, 0, 0, 0, 48, 0, -96, 0, 0, 0, 40, 0, 0, 0, 244, 0, -80, 0, 0, 0, 0, 0, 0, 0, 144, 0, -88, 0, 0, 0, -120, 0, 0, 0, 124, 0, 60, 0, 0, 0, 0, 0, 0, 0, -64, 0, 32, 0, 0, 0, 0, 0, 0, 0, -72, 0, 32, 0, 0, 0, 0, 0, 0, 0, 48, 0, 24, 0, 0, 0, 0, 0, 0, 0, -60, 0, 140, 0, 0, 0, -80, 0, 0, 0, -24, 0, -104, 0, 0, 0, -180, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 40, 0, -240, 0, 0, 0, -100, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 128, 0, -12, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 24, 0, 192, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 80, 0, -96, 0, 0, 0, -100, 0, 0, 0, -8, 0, -100, 0, 0, 0, 0, 0, 0, 0, -276, 0, 88, 0, 0, 0, -120, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44, 0, 32, 0, 0, 0, 160, 0, 0, 0, 108, 0, -8, 0, 0, 0, 0, 0, 0, 0, 144, 0, 24, 0, 0, 0, 0, 0, 0, 0, -16, 0, -60, 0, 0, 0, -100, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, -48, 0, 0, 0, 180, 0, 0, 0, -120, 0, -192, 0, 0, 0, 60, 0, 0, 0, -48, 0, -56, 0, 0, 0, 0, 0, 0, 0, 60, 0, -120, 0, 0, 0, 0, 0, 0, 0, 208, 0, 32, 0, 0, 0, 0, 0, 0, 0, -120, 0, -72, 0, 0, 0, 120, 0, 0, 0, 168, 0, 120, 0, 0, 0, -220, 0, 0, 0, 240, 0, -40, 0, 0, 0, 0, 0, 0, 0, 96, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, -20, 0, 0, 0, 0, 0, 0, 0, 216, 0, -132, 0, 0, 0, -120, 0, 0, 0, 224, 0, 96, 0, 0, 0, 0, 0, 0, 0, 4, 0, -88, 0, 0, 0, 0, 0, 0, 0, 192, 0, -20, 0, 0, 0, 0, 0, 0, 0, -132, 0, -24, 0, 0, 0, 60, 0, 0, 0, -184, 0, 200, 0, 0, 0, -80, 0, 0, 0, 24, 0, 80, 0, 0, 0, 0, 0, 0, 0, -80, 0, 36, 0, 0, 0, -160, 0, 0, 0, -8, 0, -16, 0, 0, 0, 0, 0, 0, 0, 72, 0, 168, 0, 0, 0, -120, 0, 0, 0, 168, 0, -120, 0, 0, 0, -80, 0, 0, 0, 140, 0, -160, 0, 0, 0, 0, 0, 0, 0, -120, 0, -224, 0, 0, 0, 120, 0, 0, 0, 64, 0, 72, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 180, 0, 0, 0, -72, 0, -152, 0, 0, 0, 0, 0, 0, 0, 96, 0, -156, 0, 0, 0, 0, 0, 0, 0, 232, 0, -20, 0, 0, 0, 0, 0, 0, 0, -96, 0, -140, 0, 0, 0, 0, 0, 0, 0, 24, 0, 144, 0, 0, 0, -120, 0, 0, 0, -116, 0, -136, 0, 0, 0, -120, 0, 0, 0, -60, 0, -240, 0, 0, 0, 0, 0, 0, 0, -208, 0, 132, 0, 0, 0, 0, 0, 0, 0, 16, 0, 20, 0, 0, 0, 0, 0, 0, 0, 72, 0, -80, 0, 0, 0, 0, 0, 0, 0, -120, 0, 120, 0, 0, 0, -180, 0, 0, 0, -48, 0, 28, 0, 0, 0, 0, 0, 0, 0, -12, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, -144, 0, -176, 0, 0, 0, 80, 0, 0, 0, -180, 0, -192, 0, 0, 0, 0, 0, 0, 0, -24, 0, -108, 0, 0, 0, 0, 0, 0, 0, -176, 0, 96, 0, 0, 0, 40, 0, 0, 0, 216, 0, 80, 0, 0, 0, 0, 0, 0, 0, 200, 0, 72, 0, 0, 0, -40, 0, 0, 0, 92, 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, 1, 0, 0], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 0, 0], [0, 1, 0, -1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 0, 0], [3, 0, -1, 0], [0, 0, 0, 0], [0, 2, 0, 1], [0, 0, 0, 0], [0, -2, 0, 1], [0, 0, 0, 0], [0, 0, 0, -2], [0, 0, 0, 0], [-1, 0, 0, 0], [0, 0, 0, 0], [-2, 0, 2, 0], [0, 0, 0, 0], [0, 3, 0, -1], [0, 0, 0, 0], [5, 0, 0, 0], [0, 0, 0, 0], [0, 1, 0, 1], [0, 0, 0, 0], [0, 0, 2, 0], [0, 0, 0, 0], [4, 0, 0, 0], [0, 0, 0, 0], [0, 5, 0, -1], [0, 0, 0, 0], [0, -3, 0, -1], [0, 0, 0, 0], [0, -3, 0, 0], [0, 0, 0, 0], [-7, 0, 1, 0], [0, 0, 0, 0], [-6, 0, 0, 0], [0, 0, 0, 0], [0, -3, 0, 3], [0, 0, 0, 0], [5, 0, 0, 0], [0, 0, 0, 0], [0, 3, 0, -3], [0, 0, 0, 0], [-1, 0, 0, 0], [0, 0, 0, 0], [2, 0, 2, 0], [0, 0, 0, 0], [0, -3, 0, 0], [0, 0, 0, 0], [-5, 0, 3, 0], [0, 0, 0, 0], [0, -1, 0, 0], [0, 0, 0, 0], [-6, 0, 2, 0], [0, 0, 0, 0], [-5, 0, -3, 0], [0, 0, 0, 0], [0, -3, 0, -1], [0, 0, 0, 0], [0, -3, 0, 4], [0, 0, 0, 0], [0, 0, 0, -3], [0, 0, 0, 0], [-8, 0, 4, 0], [0, 0, 0, 0], [6, 0, 2, 0], [0, 0, 0, 0], [0, -6, 0, 0], [0, 0, 0, 0], [0, 5, 0, 0], [0, 0, 0, 0], [0, 6, 0, -2], [0, 0, 0, 0], [2, 0, 6, 0], [0, 0, 0, 0], [-4, 0, 3, 0], [0, 0, 0, 0], [0, 3, 0, 3], [0, 0, 0, 0], [0, -2, 0, -4], [0, 0, 0, 0], [0, -4, 0, 2], [0, 0, 0, 0], [6, 0, -4, 0], [0, 0, 0, 0], [2, 0, 6, 0], [0, 0, 0, 0], [0, 4, 0, 0], [0, 0, 0, 0], [0, 0, -1, 0], [0, 0, 0, 0], [0, -1, 0, 4], [0, 0, 0, 0], [-5, 0, 3, 0], [0, 0, 0, 0]], 'ap': [[0, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [0, 1, 0, -1], [3, 0, -1, 0], [0, 2, 0, 1], [0, 0, 0, -2], [-1, 0, 0, 0], [0, 3, 0, -1], [0, 0, 2, 0], [4, 0, 0, 0], [0, -3, 0, 0], [-6, 0, 0, 0], [0, -3, 0, 3], [0, 3, 0, -3], [0, -3, 0, 0], [-6, 0, 2, 0], [-5, 0, -3, 0], [0, 0, 0, -3], [6, 0, 2, 0], [0, -6, 0, 0], [2, 0, 6, 0], [0, 3, 0, 3], [6, 0, -4, 0], [0, -1, 0, 4], [3, 0, 1, 0], [0, 6, 0, -3], [0, -6, 0, 5], [-2, 0, 0, 0], [0, 6, 0, 3], [0, -3, 0, 6], [0, 0, 0, 0], [0, 0, 0, -2], [9, 0, -3, 0], [-3, 0, 7, 0], [8, 0, 0, 0], [0, 8, 0, -2], [0, 3, 0, -3], [0, -3, 0, -4], [0, -6, 0, -1], [-18, 0, -2, 0], [6, 0, 0, 0], [12, 0, -4, 0], [0, 1, 0, -4], [0, 6, 0, 2], [-16, 0, 0, 0], [-2, 0, -6, 0], [0, 13, 0, 2], [0, 6, 0, -3], [-1, 0, -3, 0], [0, 6, 0, 2], [-12, 0, -8, 0], [-2, 0, -12, 0], [-12, 0, 8, 0], [0, -3, 0, -4], [0, -3, 0, 5], [-6, 0, -4, 0], [-1, 0, -9, 0], [0, 0, 0, -6], [-12, 0, -6, 0], [0, -7, 0, 1], [0, -3, 0, 0], [0, 2, 0, 1], [3, 0, 3, 0], [0, 12, 0, 0], [0, -6, 0, -1], [6, 0, -6, 0], [0, -2, 0, 5], [0, 15, 0, -1], [-12, 0, -6, 0], [0, 6, 0, -4], [9, 0, 9, 0], [0, 3, 0, -3], [0, -15, 0, 0], [-20, 0, 0, 0], [0, -12, 0, -7], [6, 0, 4, 0], [0, -12, 0, 6], [0, 0, -2, 0], [-4, 0, -6, 0], [-12, 0, -4, 0], [14, 0, 0, 0], [-6, 0, 2, 0], [0, -14, 0, 11], [8, 0, -12, 0], [0, -3, 0, -3], [12, 0, 2, 0], [0, 18, 0, 6], [6, 0, 8, 0], [0, -13, 0, 7], [0, 3, 0, -9], [9, 0, 1, 0], [0, 8, 0, 1], [12, 0, -8, 0], [3, 0, -9, 0], [0, -15, 0, 9], [24, 0, -6, 0], [18, 0, -8, 0], [0, -3, 0, -6], [5, 0, 3, 0], [0, 1, 0, 2], [0, 6, 0, 4], [0, 9, 0, 6], [30, 0, 4, 0], [-5, 0, -9, 0], [0, 2, 0, -2], [0, 15, 0, -5], [0, -6, 0, 2], [-36, 0, 0, 0], [-10, 0, 12, 0], [0, 4, 0, -7], [0, -6, 0, 12], [0, 12, 0, -2], [21, 0, 9, 0], [-5, 0, 3, 0], [-30, 0, 8, 0], [0, 3, 0, -9], [0, 15, 0, -1], [0, 0, 0, 6], [-36, 0, -4, 0], [-26, 0, 0, 0], [0, 18, 0, -3], [0, 15, 0, 8], [0, -3, 0, 6], [-5, 0, -9, 0], [21, 0, -9, 0], [-20, 0, -6, 0], [3, 0, 11, 0], [0, 3, 0, -3], [0, -12, 0, 12], [8, 0, -12, 0], [0, -3, 0, 0], [-34, 0, 6, 0], [0, -2, 0, -10], [-9, 0, -15, 0], [5, 0, 15, 0], [0, 6, 0, -3], [0, -3, 0, -6], [0, -9, 0, -12], [12, 0, -2, 0], [-8, 0, 0, 0], [30, 0, 4, 0], [0, -3, 0, -9], [0, 9, 0, 0], [-18, 0, 0, 0], [18, 0, 14, 0], [0, 6, 0, 6], [0, -15, 0, 12], [40, 0, 0, 0], [0, 9, 0, 0], [0, -1, 0, 4], [-15, 0, 7, 0], [0, 3, 0, -15], [0, 18, 0, 9], [0, 6, 0, 9], [42, 0, 2, 0], [0, 0, 12, 0], [-12, 0, 2, 0], [0, -24, 0, -6], [-30, 0, -4, 0], [0, -9, 0, 15], [0, -9, 0, 12], [0, 7, 0, -1], [18, 0, 10, 0], [0, -18, 0, 11], [0, 12, 0, -11], [-12, 0, -12, 0], [0, 12, 0, -6], [-10, 0, 12, 0], [0, 12, 0, -6], [-18, 0, 10, 0], [22, 0, 0, 0], [33, 0, -7, 0], [0, -4, 0, -8], [12, 0, -12, 0], [9, 0, 11, 0], [-20, 0, -12, 0], [15, 0, -3, 0], [0, -15, 0, 0], [3, 0, -27, 0], [0, 1, 0, -7], [18, 0, 10, 0], [0, -18, 0, -3], [0, 18, 0, -9], [0, -15, 0, 9], [-18, 0, 8, 0], [0, -10, 0, 13], [0, 5, 0, 10], [6, 0, 12, 0], [0, 0, 16, 0], [0, 11, 0, -8], [0, -3, 0, -15], [2, 0, -6, 0], [12, 0, 14, 0], [0, 3, 0, 9], [0, -18, 0, 15], [-24, 0, 6, 0], [0, 8, 0, -8], [0, 18, 0, -18], [0, 15, 0, 1], [12, 0, 6, 0], [-28, 0, -12, 0], [0, 10, 0, -13], [48, 0, 6, 0], [15, 0, 3, 0], [0, -6, 0, -4], [61, 0, -3, 0], [0, 0, 0, -3], [36, 0, -2, 0], [-22, 0, 18, 0], [0, 26, 0, 10], [15, 0, -7, 0], [0, -19, 0, -11], [0, -3, 0, -4], [-18, 0, 6, 0], [8, 0, -18, 0], [0, -19, 0, -5], [12, 0, -6, 0], [0, -3, 0, 10], [0, -18, 0, -14], [20, 0, -18, 0], [0, 0, 24, 0], [6, 0, 20, 0], [0, 11, 0, 7], [0, 6, 0, -7], [28, 0, -18, 0], [0, 18, 0, -11], [0, 0, 0, 0], [0, -18, 0, -3], [-24, 0, -20, 0], [0, 16, 0, 8], [-2, 0, -6, 0], [22, 0, -18, 0], [0, 0, -2, 0], [0, -11, 0, 17], [0, 9, 0, 11], [-11, 0, -21, 0], [0, 0, 0, -20], [27, 0, -1, 0], [6, 0, 14, 0], [0, 18, 0, 13], [0, 0, 24, 0], [0, 19, 0, 5], [-30, 0, -12, 0], [0, 21, 0, 0], [-12, 0, -12, 0], [0, -7, 0, -5], [-30, 0, -18, 0], [52, 0, 0, 0], [0, 3, 0, 9], [0, -12, 0, 12], [30, 0, -20, 0], [0, -21, 0, 11], [60, 0, -6, 0], [0, -6, 0, 2], [24, 0, 4, 0], [44, 0, -6, 0], [0, 0, 0, -15], [0, -21, 0, 8], [0, -16, 0, 10], [0, -2, 0, -7], [0, 21, 0, 12], [1, 0, -9, 0], [0, 33, 0, 12], [0, 6, 0, 14], [-46, 0, -6, 0], [6, 0, 8, 0], [9, 0, 11, 0], [0, 20, 0, 1], [0, 0, 0, -4], [42, 0, -12, 0], [0, -15, 0, 12], [0, -34, 0, 4], [35, 0, 3, 0], [0, -1, 0, -20], [0, 21, 0, -9], [0, -3, 0, -21], [6, 0, 24, 0], [-38, 0, 0, 0], [-39, 0, -11, 0], [0, -12, 0, -3], [-35, 0, 21, 0], [0, -15, 0, 21], [-60, 0, 6, 0], [0, 31, 0, -1], [33, 0, -15, 0], [0, 0, 0, 12], [0, 18, 0, -5], [4, 0, 0, 0], [18, 0, -8, 0], [30, 0, -4, 0], [0, -21, 0, -7], [0, -39, 0, -8], [30, 0, 2, 0], [0, -2, 0, 11], [-45, 0, 5, 0], [-48, 0, 12, 0], [0, 6, 0, -18], [54, 0, 10, 0], [0, -27, 0, 3], [0, -18, 0, 12], [0, 18, 0, -23], [23, 0, -9, 0]], 'char_orbit_index': 4, 'field_poly': [4, 0, 6, 0, 1], 'hecke_orbit_code': 22518204328838640, 'hecke_ring_character_values': [[191, [1, 0, 0, 0]], [1141, [1, 0, 0, 0]], [1217, [-1, 0, 0, 0]], [401, [1, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [-3, 0, 1, 0], [0, -5, 0, 1]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [3, 0, 1, 0], [0, 5, 0, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '1520.2.d.f', 'level': 1520, 'maxp': 1999, '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': 6080, 'analytic_conductor': 12.137261107234618, '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': [1520, 2, [191, 1141, 1217, 401], [2, 2, 1, 2]], 'conrey_index': 609, 'cusp_dim': 228, 'dim': 54, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 206191986160, 'hecke_orbit_dims': [2, 2, 4, 4, 4, 4, 4, 6, 6, 6, 12], 'label': '1520.2.d', 'level': 1520, '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': 252, 'mf_new_dim': 54, 'num_forms': 11, 'prim_orbit_index': 2, 'relative_dim': 54, 'sturm_bound': 480, 'trace_bound': 15, 'trace_display': [0, 0, 2, 0], 'traces': [54, 0, 0, 0, 2, 0, 0, 0, -54, 0, -12, 0, 0, 0, 12, 0, 0, 0, 6, 0, -8, 0, 0, 0, 10, 0, 0, 0, 4, 0, 0, 0, 0, 0, -6, 0, 0, 0, -40, 0, -4, 0, 0, 0, -10, 0, 0, 0, -70, 0, 24, 0, 0, 0, 10, 0, 0, 0, 16, 0, 20, 0, 0, 0, -8, 0, 0, 0, 8, 0, 8, 0, 0, 0, 28, 0, 0, 0, 0, 0, 62, 0, 0, 0, -8, 0, 0, 0, 12, 0, -16, 0, 0, 0, 0, 0, 0, 0, 28, 0, -28, 0, 0, 0, 40, 0, 0, 0, 20, 0, -8, 0, 0, 0, -68, 0, 0, 0, -36, 0, 22, 0, 0, 0, 2, 0, 0, 0, -40, 0, -52, 0, 0, 0, 64, 0, 0, 0, 4, 0, -8, 0, 0, 0, -4, 0, 0, 0, 20, 0, 24, 0, 0, 0, 16, 0, 0, 0, -24, 0, 8, 0, 0, 0, 32, 0, 0, 0, -18, 0, -30, 0, 0, 0, 2, 0, 0, 0, 0, 0, -108, 0, 0, 0, 40, 0, 0, 0, 32, 0, 4, 0, 0, 0, 48, 0, 0, 0, 4, 0, -56, 0, 0, 0, 4, 0, 0, 0, 0, 0, 64, 0, 0, 0, 30, 0, 0, 0, -24, 0, 48, 0, 0, 0, 6, 0, 0, 0, -12, 0, -104, 0, 0, 0, 82, 0, 0, 0, 52, 0, 44, 0, 0, 0, 6, 0, 0, 0, -24, 0, -132, 0, 0, 0, 60, 0, 0, 0, -152, 0, -4, 0, 0, 0, 24, 0, 0, 0, -60, 0, 8, 0, 0, 0, 70, 0, 0, 0, -64, 0, -52, 0, 0, 0, 0, 0, 0, 0, -82, 0, 184, 0, 0, 0, 28, 0, 0, 0, -96, 0, 8, 0, 0, 0, -24, 0, 0, 0, 8, 0, 204, 0, 0, 0, 78, 0, 0, 0, -24, 0, 104, 0, 0, 0, 80, 0, 0, 0, -64, 0, 72, 0, 0, 0, -120, 0, 0, 0, -216, 0, 16, 0, 0, 0, 16, 0, 0, 0, -28, 0, -48, 0, 0, 0, -84, 0, 0, 0, -44, 0, 54, 0, 0, 0, 8, 0, 0, 0, -28, 0, 64, 0, 0, 0, -32, 0, 0, 0, -80, 0, -40, 0, 0, 0, -36, 0, 0, 0, -28, 0, 8, 0, 0, 0, 104, 0, 0, 0, -32, 0, 12, 0, 0, 0, 90, 0, 0, 0, 76, 0, 72, 0, 0, 0, -36, 0, 0, 0, 56, 0, 20, 0, 0, 0, 52, 0, 0, 0, -144, 0, -64, 0, 0, 0, 0, 0, 0, 0, 40, 0, 118, 0, 0, 0, 4, 0, 0, 0, -68, 0, 184, 0, 0, 0, -144, 0, 0, 0, -224, 0, -12, 0, 0, 0, -16, 0, 0, 0, 104, 0, 112, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 144, 0, 0, 0, -120, 0, 88, 0, 0, 0, 246, 0, 0, 0, 124, 0, -216, 0, 0, 0, -84, 0, 0, 0, 20, 0, 172, 0, 0, 0, -44, 0, 0, 0, -8, 0, 92, 0, 0, 0, 72, 0, 0, 0, -30, 0, -80, 0, 0, 0, -92, 0, 0, 0, 192, 0, -44, 0, 0, 0, 20, 0, 0, 0, -4, 0, 52, 0, 0, 0, 96, 0, 0, 0, -32, 0, 160, 0, 0, 0, -48, 0, 0, 0, -52, 0, 0, 0, 0, 0, -20, 0, 0, 0, 8, 0, -56, 0, 0, 0, -32, 0, 0, 0, 0, 0, -208, 0, 0, 0, -218, 0, 0, 0, -192, 0, -180, 0, 0, 0, -6, 0, 0, 0, 64, 0, 0, 0, 0, 0, -56, 0, 0, 0, -112, 0, 0, 0, 0, 0, 10, 0, 0, 0, -80, 0, 52, 0, 0, 0, -20, 0, 0, 0, 248, 0, -20, 0, 0, 0, 168, 0, 0, 0, 144, 0, -240, 0, 0, 0, 42, 0, 0, 0, 48, 0, -108, 0, 0, 0, -12, 0, 0, 0, 56, 0, 44, 0, 0, 0, -280, 0, 0, 0, 224, 0, 40, 0, 0, 0, 144, 0, 0, 0, 16, 0, -212, 0, 0, 0, -46, 0, 0, 0, 104, 0, -28, 0, 0, 0, -112, 0, 0, 0, -124, 0, 80, 0, 0, 0, 152, 0, 0, 0, 164, 0, -72, 0, 0, 0, 20, 0, 0, 0, -30, 0, -92, 0, 0, 0, 264, 0, 0, 0, 196, 0, 32, 0, 0, 0, -112, 0, 0, 0, -120, 0, -144, 0, 0, 0, 44, 0, 0, 0, -144, 0, 164, 0, 0, 0, 64, 0, 0, 0, 68, 0, 56, 0, 0, 0, -16, 0, 0, 0, 60, 0, 16, 0, 0, 0, -120, 0, 0, 0, 296, 0, 8, 0, 0, 0, 48, 0, 0, 0, -260, 0, 36, 0, 0, 0, 136, 0, 0, 0, 52, 0, 40, 0, 0, 0, -44, 0, 0, 0, 144, 0, 132, 0, 0, 0, -200, 0, 0, 0, -76, 0, -504, 0, 0, 0, 20, 0, 0, 0, 232, 0, 138, 0, 0, 0, -14, 0, 0, 0, -72, 0, -48, 0, 0, 0, 0, 0, 0, 0, 84, 0, -64, 0, 0, 0, 8, 0, 0, 0, -368, 0, -136, 0, 0, 0, -160, 0, 0, 0, -344, 0, 36, 0, 0, 0, -184, 0, 0, 0, 24, 0, -188, 0, 0, 0, 140, 0, 0, 0, 272, 0, -48, 0, 0, 0, 84, 0, 0, 0, -20, 0, 328, 0, 0, 0, 164, 0, 0, 0, -256, 0, 120, 0, 0, 0, 96, 0, 0, 0, 28, 0, -42, 0, 0, 0, -122, 0, 0, 0, 64, 0, 84, 0, 0, 0, -88, 0, 0, 0, 0, 0, 120, 0, 0, 0, 58, 0, 0, 0, 84, 0, 118, 0, 0, 0, 128, 0, 0, 0, 0, 0, -8, 0, 0, 0, 392, 0, 0, 0, 256, 0, -292, 0, 0, 0, -104, 0, 0, 0, 168, 0, -248, 0, 0, 0, -94, 0, 0, 0, 400, 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: 750121
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '1520.2.d.f', 'source_level': 1520, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '380.2.c.a', 'target_level': 380, 'twist_class_label': '380.2.c.a', 'twist_class_level': 380, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 750122
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '1520.2.d.f', 'source_level': 1520, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '380.2.c.a', 'target_level': 380, 'twist_class_label': '380.2.c.a', 'twist_class_level': 380, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 750123
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 4, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '1520.2.d.f', 'source_level': 1520, 'target_char_orbit': 4, 'target_dim': 4, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '1520.2.d.f', 'target_level': 1520, 'twist_class_label': '380.2.c.a', 'twist_class_level': 380, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 750124
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '1520.2.d.f', 'source_level': 1520, 'target_char_orbit': 4, 'target_dim': 4, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '1520.2.d.f', 'target_level': 1520, 'twist_class_label': '380.2.c.a', 'twist_class_level': 380, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 750125
    {'conductor': 20, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '1520.2.d.f', 'source_level': 1520, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '1900.2.a.j', 'target_level': 1900, 'twist_class_label': '380.2.c.a', 'twist_class_level': 380, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 750126
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '1520.2.d.f', 'source_level': 1520, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '3420.2.f.a', 'target_level': 3420, 'twist_class_label': '380.2.c.a', 'twist_class_level': 380, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 750127
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '1520.2.d.f', 'source_level': 1520, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '3420.2.f.a', 'target_level': 3420, 'twist_class_label': '380.2.c.a', 'twist_class_level': 380, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 750128
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 4, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '1520.2.d.f', 'source_level': 1520, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 57, 'target_is_minimal': False, 'target_label': '7600.2.a.ce', 'target_level': 7600, 'twist_class_label': '380.2.c.a', 'twist_class_level': 380, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2007375
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 22518204328838640, 'p': 2}
  • id: 2007376
    {'charpoly_factorization': [[[4, 0, 6, 0, 1], 1]], 'hecke_orbit_code': 22518204328838640, 'p': 3}
  • id: 2007377
    {'charpoly_factorization': [[[-5, 0, 1], 2]], 'hecke_orbit_code': 22518204328838640, 'p': 5}
  • id: 2007378
    {'charpoly_factorization': [[[8, 0, 1], 2]], 'hecke_orbit_code': 22518204328838640, 'p': 7}
  • id: 2007379
    {'charpoly_factorization': [[[4, -6, 1], 2]], 'hecke_orbit_code': 22518204328838640, 'p': 11}
  • id: 2007380
    {'charpoly_factorization': [[[484, 0, 46, 0, 1], 1]], 'hecke_orbit_code': 22518204328838640, 'p': 13}
  • id: 2007381
    {'charpoly_factorization': [[[64, 0, 56, 0, 1], 1]], 'hecke_orbit_code': 22518204328838640, 'p': 17}
  • id: 2007382
    {'charpoly_factorization': [[[1, 1], 4]], 'hecke_orbit_code': 22518204328838640, 'p': 19}
  • id: 2007383
    {'charpoly_factorization': [[[64, 0, 56, 0, 1], 1]], 'hecke_orbit_code': 22518204328838640, 'p': 23}
  • id: 2007384
    {'charpoly_factorization': [[[-20, 0, 1], 2]], 'hecke_orbit_code': 22518204328838640, 'p': 29}
  • id: 2007385
    {'charpoly_factorization': [[[-4, 1], 4]], 'hecke_orbit_code': 22518204328838640, 'p': 31}
  • id: 2007386
    {'charpoly_factorization': [[[324, 0, 54, 0, 1], 1]], 'hecke_orbit_code': 22518204328838640, 'p': 37}
  • id: 2007387
    {'charpoly_factorization': [[[6, 1], 4]], 'hecke_orbit_code': 22518204328838640, 'p': 41}
  • id: 2007388
    {'charpoly_factorization': [[[72, 0, 1], 2]], 'hecke_orbit_code': 22518204328838640, 'p': 43}
  • id: 2007389
    {'charpoly_factorization': [[[72, 0, 1], 2]], 'hecke_orbit_code': 22518204328838640, 'p': 47}
  • id: 2007390
    {'charpoly_factorization': [[[324, 0, 54, 0, 1], 1]], 'hecke_orbit_code': 22518204328838640, 'p': 53}
  • id: 2007391
    {'charpoly_factorization': [[[16, 12, 1], 2]], 'hecke_orbit_code': 22518204328838640, 'p': 59}
  • id: 2007392
    {'charpoly_factorization': [[[-20, 10, 1], 2]], 'hecke_orbit_code': 22518204328838640, 'p': 61}
  • id: 2007393
    {'charpoly_factorization': [[[324, 0, 126, 0, 1], 1]], 'hecke_orbit_code': 22518204328838640, 'p': 67}
  • id: 2007394
    {'charpoly_factorization': [[[16, -12, 1], 2]], 'hecke_orbit_code': 22518204328838640, 'p': 71}
  • id: 2007395
    {'charpoly_factorization': [[[5184, 0, 216, 0, 1], 1]], 'hecke_orbit_code': 22518204328838640, 'p': 73}
  • id: 2007396
    {'charpoly_factorization': [[[-176, -4, 1], 2]], 'hecke_orbit_code': 22518204328838640, 'p': 79}
  • id: 2007397
    {'charpoly_factorization': [[[5184, 0, 216, 0, 1], 1]], 'hecke_orbit_code': 22518204328838640, 'p': 83}
  • id: 2007398
    {'charpoly_factorization': [[[-44, -12, 1], 2]], 'hecke_orbit_code': 22518204328838640, 'p': 89}
  • id: 2007399
    {'charpoly_factorization': [[[3844, 0, 214, 0, 1], 1]], 'hecke_orbit_code': 22518204328838640, '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': 6, 'label': '1520.2.d.f', 'level': 1520, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 44241817
    {'hecke_orbit_code': 22518204328838640, 'n': 1, 'trace_an': 4}
  • id: 44241818
    {'hecke_orbit_code': 22518204328838640, 'n': 2, 'trace_an': 0}
  • id: 44241819
    {'hecke_orbit_code': 22518204328838640, 'n': 3, 'trace_an': 0}
  • id: 44241820
    {'hecke_orbit_code': 22518204328838640, 'n': 4, 'trace_an': 0}
  • id: 44241821
    {'hecke_orbit_code': 22518204328838640, 'n': 5, 'trace_an': 0}
  • id: 44241822
    {'hecke_orbit_code': 22518204328838640, 'n': 6, 'trace_an': 0}
  • id: 44241823
    {'hecke_orbit_code': 22518204328838640, 'n': 7, 'trace_an': 0}
  • id: 44241824
    {'hecke_orbit_code': 22518204328838640, 'n': 8, 'trace_an': 0}
  • id: 44241825
    {'hecke_orbit_code': 22518204328838640, 'n': 9, 'trace_an': 0}
  • id: 44241826
    {'hecke_orbit_code': 22518204328838640, 'n': 10, 'trace_an': 0}
  • id: 44241827
    {'hecke_orbit_code': 22518204328838640, 'n': 11, 'trace_an': 12}
  • id: 44241828
    {'hecke_orbit_code': 22518204328838640, 'n': 12, 'trace_an': 0}
  • id: 44241829
    {'hecke_orbit_code': 22518204328838640, 'n': 13, 'trace_an': 0}
  • id: 44241830
    {'hecke_orbit_code': 22518204328838640, 'n': 14, 'trace_an': 0}
  • id: 44241831
    {'hecke_orbit_code': 22518204328838640, 'n': 15, 'trace_an': 0}
  • id: 44241832
    {'hecke_orbit_code': 22518204328838640, 'n': 16, 'trace_an': 0}
  • id: 44241833
    {'hecke_orbit_code': 22518204328838640, 'n': 17, 'trace_an': 0}
  • id: 44241834
    {'hecke_orbit_code': 22518204328838640, 'n': 18, 'trace_an': 0}
  • id: 44241835
    {'hecke_orbit_code': 22518204328838640, 'n': 19, 'trace_an': -4}
  • id: 44241836
    {'hecke_orbit_code': 22518204328838640, 'n': 20, 'trace_an': 0}
  • id: 44241837
    {'hecke_orbit_code': 22518204328838640, 'n': 21, 'trace_an': -8}
  • id: 44241838
    {'hecke_orbit_code': 22518204328838640, 'n': 22, 'trace_an': 0}
  • id: 44241839
    {'hecke_orbit_code': 22518204328838640, 'n': 23, 'trace_an': 0}
  • id: 44241840
    {'hecke_orbit_code': 22518204328838640, 'n': 24, 'trace_an': 0}
  • id: 44241841
    {'hecke_orbit_code': 22518204328838640, 'n': 25, 'trace_an': 20}
  • id: 44241842
    {'hecke_orbit_code': 22518204328838640, 'n': 26, 'trace_an': 0}
  • id: 44241843
    {'hecke_orbit_code': 22518204328838640, 'n': 27, 'trace_an': 0}
  • id: 44241844
    {'hecke_orbit_code': 22518204328838640, 'n': 28, 'trace_an': 0}
  • id: 44241845
    {'hecke_orbit_code': 22518204328838640, 'n': 29, 'trace_an': 0}
  • id: 44241846
    {'hecke_orbit_code': 22518204328838640, 'n': 30, 'trace_an': 0}
  • id: 44241847
    {'hecke_orbit_code': 22518204328838640, 'n': 31, 'trace_an': 16}
  • id: 44241848
    {'hecke_orbit_code': 22518204328838640, 'n': 32, 'trace_an': 0}
  • id: 44241849
    {'hecke_orbit_code': 22518204328838640, 'n': 33, 'trace_an': 0}
  • id: 44241850
    {'hecke_orbit_code': 22518204328838640, 'n': 34, 'trace_an': 0}
  • id: 44241851
    {'hecke_orbit_code': 22518204328838640, 'n': 35, 'trace_an': 0}
  • id: 44241852
    {'hecke_orbit_code': 22518204328838640, 'n': 36, 'trace_an': 0}
  • id: 44241853
    {'hecke_orbit_code': 22518204328838640, 'n': 37, 'trace_an': 0}
  • id: 44241854
    {'hecke_orbit_code': 22518204328838640, 'n': 38, 'trace_an': 0}
  • id: 44241855
    {'hecke_orbit_code': 22518204328838640, 'n': 39, 'trace_an': -28}
  • id: 44241856
    {'hecke_orbit_code': 22518204328838640, 'n': 40, 'trace_an': 0}
  • id: 44241857
    {'hecke_orbit_code': 22518204328838640, 'n': 41, 'trace_an': -24}
  • id: 44241858
    {'hecke_orbit_code': 22518204328838640, 'n': 42, 'trace_an': 0}
  • id: 44241859
    {'hecke_orbit_code': 22518204328838640, 'n': 43, 'trace_an': 0}
  • id: 44241860
    {'hecke_orbit_code': 22518204328838640, 'n': 44, 'trace_an': 0}
  • id: 44241861
    {'hecke_orbit_code': 22518204328838640, 'n': 45, 'trace_an': 20}
  • id: 44241862
    {'hecke_orbit_code': 22518204328838640, 'n': 46, 'trace_an': 0}
  • id: 44241863
    {'hecke_orbit_code': 22518204328838640, 'n': 47, 'trace_an': 0}
  • id: 44241864
    {'hecke_orbit_code': 22518204328838640, 'n': 48, 'trace_an': 0}
  • id: 44241865
    {'hecke_orbit_code': 22518204328838640, 'n': 49, 'trace_an': -4}
  • id: 44241866
    {'hecke_orbit_code': 22518204328838640, 'n': 50, 'trace_an': 0}
  • id: 44241867
    {'hecke_orbit_code': 22518204328838640, 'n': 51, 'trace_an': 8}
  • id: 44241868
    {'hecke_orbit_code': 22518204328838640, 'n': 52, 'trace_an': 0}
  • id: 44241869
    {'hecke_orbit_code': 22518204328838640, 'n': 53, 'trace_an': 0}
  • id: 44241870
    {'hecke_orbit_code': 22518204328838640, 'n': 54, 'trace_an': 0}
  • id: 44241871
    {'hecke_orbit_code': 22518204328838640, 'n': 55, 'trace_an': -20}
  • id: 44241872
    {'hecke_orbit_code': 22518204328838640, 'n': 56, 'trace_an': 0}
  • id: 44241873
    {'hecke_orbit_code': 22518204328838640, 'n': 57, 'trace_an': 0}
  • id: 44241874
    {'hecke_orbit_code': 22518204328838640, 'n': 58, 'trace_an': 0}
  • id: 44241875
    {'hecke_orbit_code': 22518204328838640, 'n': 59, 'trace_an': -24}
  • id: 44241876
    {'hecke_orbit_code': 22518204328838640, 'n': 60, 'trace_an': 0}
  • id: 44241877
    {'hecke_orbit_code': 22518204328838640, 'n': 61, 'trace_an': -20}
  • id: 44241878
    {'hecke_orbit_code': 22518204328838640, 'n': 62, 'trace_an': 0}
  • id: 44241879
    {'hecke_orbit_code': 22518204328838640, 'n': 63, 'trace_an': 0}
  • id: 44241880
    {'hecke_orbit_code': 22518204328838640, 'n': 64, 'trace_an': 0}
  • id: 44241881
    {'hecke_orbit_code': 22518204328838640, 'n': 65, 'trace_an': 0}
  • id: 44241882
    {'hecke_orbit_code': 22518204328838640, 'n': 66, 'trace_an': 0}
  • id: 44241883
    {'hecke_orbit_code': 22518204328838640, 'n': 67, 'trace_an': 0}
  • id: 44241884
    {'hecke_orbit_code': 22518204328838640, 'n': 68, 'trace_an': 0}
  • id: 44241885
    {'hecke_orbit_code': 22518204328838640, 'n': 69, 'trace_an': -32}
  • id: 44241886
    {'hecke_orbit_code': 22518204328838640, 'n': 70, 'trace_an': 0}
  • id: 44241887
    {'hecke_orbit_code': 22518204328838640, 'n': 71, 'trace_an': 24}
  • id: 44241888
    {'hecke_orbit_code': 22518204328838640, 'n': 72, 'trace_an': 0}
  • id: 44241889
    {'hecke_orbit_code': 22518204328838640, 'n': 73, 'trace_an': 0}
  • id: 44241890
    {'hecke_orbit_code': 22518204328838640, 'n': 74, 'trace_an': 0}
  • id: 44241891
    {'hecke_orbit_code': 22518204328838640, 'n': 75, 'trace_an': 0}
  • id: 44241892
    {'hecke_orbit_code': 22518204328838640, 'n': 76, 'trace_an': 0}
  • id: 44241893
    {'hecke_orbit_code': 22518204328838640, 'n': 77, 'trace_an': 0}
  • id: 44241894
    {'hecke_orbit_code': 22518204328838640, 'n': 78, 'trace_an': 0}
  • id: 44241895
    {'hecke_orbit_code': 22518204328838640, 'n': 79, 'trace_an': 8}
  • id: 44241896
    {'hecke_orbit_code': 22518204328838640, 'n': 80, 'trace_an': 0}
  • id: 44241897
    {'hecke_orbit_code': 22518204328838640, 'n': 81, 'trace_an': -16}
  • id: 44241898
    {'hecke_orbit_code': 22518204328838640, 'n': 82, 'trace_an': 0}
  • id: 44241899
    {'hecke_orbit_code': 22518204328838640, 'n': 83, 'trace_an': 0}
  • id: 44241900
    {'hecke_orbit_code': 22518204328838640, 'n': 84, 'trace_an': 0}
  • id: 44241901
    {'hecke_orbit_code': 22518204328838640, 'n': 85, 'trace_an': 0}
  • id: 44241902
    {'hecke_orbit_code': 22518204328838640, 'n': 86, 'trace_an': 0}
  • id: 44241903
    {'hecke_orbit_code': 22518204328838640, 'n': 87, 'trace_an': 0}
  • id: 44241904
    {'hecke_orbit_code': 22518204328838640, 'n': 88, 'trace_an': 0}
  • id: 44241905
    {'hecke_orbit_code': 22518204328838640, 'n': 89, 'trace_an': 24}
  • id: 44241906
    {'hecke_orbit_code': 22518204328838640, 'n': 90, 'trace_an': 0}
  • id: 44241907
    {'hecke_orbit_code': 22518204328838640, 'n': 91, 'trace_an': 8}
  • id: 44241908
    {'hecke_orbit_code': 22518204328838640, 'n': 92, 'trace_an': 0}
  • id: 44241909
    {'hecke_orbit_code': 22518204328838640, 'n': 93, 'trace_an': 0}
  • id: 44241910
    {'hecke_orbit_code': 22518204328838640, 'n': 94, 'trace_an': 0}
  • id: 44241911
    {'hecke_orbit_code': 22518204328838640, 'n': 95, 'trace_an': 0}
  • id: 44241912
    {'hecke_orbit_code': 22518204328838640, 'n': 96, 'trace_an': 0}
  • id: 44241913
    {'hecke_orbit_code': 22518204328838640, 'n': 97, 'trace_an': 0}
  • id: 44241914
    {'hecke_orbit_code': 22518204328838640, 'n': 98, 'trace_an': 0}
  • id: 44241915
    {'hecke_orbit_code': 22518204328838640, 'n': 99, 'trace_an': -20}
  • id: 44241916
    {'hecke_orbit_code': 22518204328838640, 'n': 100, 'trace_an': 0}