Newform data - 1560.1.dk.b

Formats: - HTML - YAML - JSON - 2024-04-24T16:28:01.762958

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 1560, 'analytic_conductor': 0.7785414197074837, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 1560, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 89, 'char_orbit_label': 'dk', 'char_order': 6, 'char_parity': -1, 'char_values': [1560, 6, [391, 781, 521, 937, 1081], [6, 3, 3, 3, 1]], 'cm_discs': [-120], 'conrey_index': 1109, 'conrey_indexes': [1109, 1349], 'dim': 4, 'field_disc': 144, 'field_disc_factorization': [[2, 4], [3, 2]], 'field_poly': [1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 12, 'has_non_self_twist': 1, 'hecke_cutters': [[37, [3, -3, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4509646958102040, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 120, 9, -1, 2, -120], [1, 1, 3, 2, -1, 2, 0], [1, 1, 13, 5, 1, 6, 0], [1, 1, 39, 8, -1, 6, 0], [1, 1, 40, 6, 1, 2, 0], [1, 1, 520, 42, 1, 6, 0], [1, 1, 1560, 89, -1, 6, 0]], 'is_cm': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '1560.1.dk.b', 'level': 1560, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 13], 'level_radical': 390, 'minimal_twist': '1560.1.dk.a', 'nf_label': '4.0.144.1', 'prim_orbit_index': 89, 'projective_field': [156, 0, 169, 0, -26, 0, 1], 'projective_field_label': '6.0.16039857600.1', 'projective_image': 'D6', 'projective_image_type': 'Dn', 'qexp_display': 'q-\\zeta_{12}q^{2}-\\zeta_{12}^{4}q^{3}+\\zeta_{12}^{2}q^{4}+\\zeta_{12}^{3}q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'self_twist_discs': [-120], 'self_twist_type': 1, 'space_label': '1560.1.dk', 'trace_display': [0, 2, 0, 0], 'trace_hash': 1921184322872617398, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.025', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.576', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.895', 'prec': 17}, {'__RealLiteral__': 0, 'data': '120.576', 'prec': 24}, {'__RealLiteral__': 0, 'data': '53.634', 'prec': 20}, {'__RealLiteral__': 0, 'data': '4961.805', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.833', 'prec': 17}, 'traces': [4, 0, 2, 2, 0, 0, 0, 0, -2, 2, 0, 4, 4, 0, 0, -2, 0, 0, 0, 0, 0, -2, 0, 0, -4, 0, -4, 0, 0, -2, 0, 0, 0, 0, 0, 2, 6, 0, 2, 4, 0, 0, -2, 0, 0, 6, 0, 2, 2, 0, 0, 2, 0, 0, -2, 0, 0, -6, 0, 0, 0, 0, 0, -4, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, -4, 0, -2, 0, 0, 0, 0, 0, 0, 2, 0, -4, 0, 0, 6, -2, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 6, 0, 0, 0, -6, 0, -2, -4, 0, 2, 0, 0, 0, -6, 0, 0, 0, 0, -4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 6, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 4, -4, 0, 0, 2, 0, 0, -6, 0, 2, 0, 0, 0, 4, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 4, 0, -2, -4, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, -6, 0, 0, 4, 0, -2, 0, 0, 0, -6, 0, 2, 0, 0, 0, 0, 0, 0, -2, 0, 0, -6, 0, 0, -2, 0, 0, 0, 0, 0, -6, 0, -2, 0, 0, 0, 0, 0, -2, -6, 0, 0, 4, 0, 0, 2, 0, 6, 0, 0, 2, 2, 0, 0, -2, 0, 0, 2, 0, 0, 0, 0, 0, 2, 0, 0, 4, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, -2, 0, 0, 6, 0, 0, 0, 0, -4, -4, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, -4, 4, 0, -2, 0, 0, 0, 6, 0, -2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, -2, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, -2, 0, 0, 0, 0, 0, 0, 6, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 2, 0, 0, 6, 0, 0, 0, -4, 0, -4, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 2, 0, 0, -2, -2, 0, 0, 0, 0, 0, 0, 0, 4, 6, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 4, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 6, 0, -2, 2, 0, 0, 4, 0, 6, 2, 0, 0, 6, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 2, 0, 6, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, -6, 0, 2, 0, 0, -8, 6, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 4, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 4, 2, 0, 6, 0, 0, 0, 6, 0, 0, -2, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 2, -4, 0, 0, 0, 0, 2, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 2, 2, 0, 0, -6, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, -4, -6, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 2, 0, -6, 6, 0, 0, -2, 0, -4, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 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-6, 0, 0, -6, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, -2, 0, 0, 0, 0, 0, 2, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -2, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 4, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 6, 6, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, -6, 0, -2, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 2, 6, 0, 6, 4, 0, 0, 0, 0, 0, 6, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 4, 0, 2, 2, 0, -6, -6, 0, 0, 2, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 6, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 6, 0, 0, -2, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 6, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 4, -2, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, -2, 0, 0, 6, 0, 0, -2, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 2, 0, 0, 0, 0, -2, -4, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, -6, 0, 0, -6, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, -2, 0, -6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 2, 0, 0, 0, 6, 0, 0, -4, 0, -4, 6, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, -2, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 4, 0, 0, 2, 0, -6, 0, 0, 0, 2, 0, 0, 0, 0, 6, -2, 0, 0, -6, 0, 0, 0, 0, 0, 4, 0, 0, -6, 0, 2, 0, 0, 0, 0, 0, 0, 6, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0], 'weight': 1, '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]], [[-1, 1]], [[-1, 4]], [[1, 2]], [[1, 3]], [[1, 5]], [], [[-1, 3]], [[-1, 2]], [[-1, 4]], [[1, 1]], [[1, 0]], [[1, 0]], [], [[1, 1]], [[1, 4]], [], [[1, 3]], [], [[1, 5]], [], [[-1, 2]], [[1, 3], [1, 5]], [[-1, 1]], [[-1, 0]], [[-1, 1]], [[-1, 0]], [], [[-1, 3], [-1, 5]], [[-1, 2]], [[1, 2], [1, 4]], [[-1, 5]], [[-1, 5]], [], [], [[-1, 4]], [[1, 0], [1, 2]], [], [[-1, 4]], [[1, 0]], [], [], [[-1, 2]], [[1, 3]], [[-1, 5]], [[1, 0], [-1, 4]], [[-1, 3]], [[1, 2]], [[-1, 4]], [[1, 1]], [], [[1, 2]], [], [[1, 1]], [[1, 4]], [], [], [[-1, 0], [1, 4]], [[-1, 5]], [[1, 3]], [], [[-1, 3], [-1, 5]], [], [[-1, 0]], [[1, 3]], [[-1, 0]], [], [], [[1, 1], [1, 3]], [], [], [[1, 5]], [], [[-1, 1], [-1, 3]], [[1, 4]], [], [], [[1, 5]], [[-1, 0]], [[-1, 1]], [[1, 4]], [], [], [], [], [[1, 3]], [[-1, 1], [-1, 3]], [[-1, 4]], [], [[-1, 0]], [], [[-1, 1], [1, 5]], [[1, 0], [1, 2]], [[1, 4]], [], [[-1, 3]], [], [[1, 5]], [[-1, 3]], [[-1, 2]]], 'ap': [[[-1, 1]], [[-1, 4]], [[1, 3]], [], [[1, 1]], [[1, 0]], [], [], [[1, 3], [1, 5]], [[-1, 3], [-1, 5]], [[1, 2], [1, 4]], [[1, 0], [1, 2]], [], [[-1, 2]], [[-1, 3]], [], [[-1, 5]], [], [], [], [], [[-1, 0]], [], [], [], [], [], [], [], [[-1, 1], [-1, 3]], [], [[1, 1], [-1, 5]], [[1, 5]], [], [[1, 5]], [], [[-1, 0]], [[-1, 0], [1, 4]], [[-1, 1]], [], [[1, 3], [1, 5]], [], [], [], [], [[-1, 2], [-1, 2]], [], [], [], [], [[1, 1], [-1, 5]], [], [[-1, 0], [1, 4]], [[-1, 1], [-1, 3]], [[1, 3], [1, 5]], [[1, 3], [1, 5]], [], [[-1, 0], [-1, 2]], [[1, 2]], [], [[-1, 4]], [], [], [], [], [], [], [], [], [], [[1, 1], [1, 1]], [], [], [[-1, 2]], [], [[1, 5]], [[-1, 1], [1, 5]], [[1, 0], [-1, 4]], [], [], [], [], [], [], [[1, 4], [1, 4]], [], [], [], [[-1, 5]], [], [], [], [], [], [], [], [[-1, 1]], [], [[-1, 4]], [], [[1, 0], [1, 0]], [], [], [], [], [], [], [[-1, 3]], [], [[-1, 4]], [], [[-1, 0], [-1, 2]], [[1, 5]], [], [], [], [], [], [], [[-1, 1], [-1, 3]], [], [], [], [], [], [[1, 1], [-1, 5]], [], [], [], [], [], [[-1, 1]], [[-1, 4]], [[1, 4], [1, 4]], [], [[-1, 0], [-1, 2]], [], [[1, 0], [-1, 4]], [], [], [], [[1, 1]], [], [], [], [], [[1, 2], [1, 4]], [[1, 1], [-1, 5]], [], [[-1, 3]], [[-1, 0], [1, 4]], [], [[1, 0]], [[-1, 3], [-1, 5]], [[-1, 4]], [], [[1, 2], [1, 2]], [], [], [[-1, 3], [-1, 3]], [], [[1, 1], [1, 3]], [], [], [[-1, 1]], [[-1, 3]], [[1, 4]], [[-1, 2], [-1, 2]], [[1, 2], [1, 4]], [], [[1, 3], [1, 3]], [], [], [], [[1, 0]], [], [], [[1, 3], [1, 3]], [], [], [], [[1, 1], [-1, 5]], [[-1, 0]], [[1, 3]], [[-1, 1]], [[-1, 1], [-1, 3]], [[1, 0]], [[1, 2], [1, 4]], [[1, 0], [1, 2]], [], [], [], [], [[1, 1]], [], [], [[-1, 2], [-1, 4]], [[-1, 2]], [[1, 3]], [[1, 1], [-1, 5]], [[-1, 5], [-1, 5]], [[1, 2]], [], [[-1, 0], [-1, 0]], [[1, 1], [1, 1]], [], [], [], [], [], [], [[1, 1], [-1, 5]], [], [], [], [[1, 2], [1, 4]], [], [], [[1, 1], [1, 1]], [], [], [], [], [], [], [], [[-1, 3], [-1, 5]], [], [], [[1, 3]], [[-1, 4]], [], [], [], [[1, 0]], [[-1, 3], [-1, 3]], [[-1, 0], [1, 4]], [], [], [], [], [], [], [], [[1, 5], [1, 5]], [], [], [[-1, 1], [-1, 1]], [], [[1, 3], [1, 5]], [[1, 0], [1, 2]], [], [[1, 3]], [[1, 4]], [], [[1, 5], [1, 5]], [], [], [], [], [], [], [], [[-1, 4], [-1, 4]], [[-1, 5]], [], [[1, 5], [1, 5]], [], [[1, 0], [-1, 4]], [], [], [[-1, 2], [-1, 4]], [], [[1, 2]], [], [], [], [], [[-1, 0], [1, 4]], [[-1, 1], [-1, 3]], [], [[1, 0], [1, 2]], [[-1, 1], [1, 5]], [], [[-1, 2], [-1, 4]], [], [], [], [[1, 0], [-1, 4]], [], [[1, 3], [1, 5]], [], [[1, 1]], [[1, 5]], [[1, 2], [1, 2]], [[-1, 1], [1, 5]], [[1, 0]], [], [[1, 3], [1, 5]], [[1, 0], [1, 2]], [], [], [[1, 4]]], 'char_orbit_index': 89, 'field_poly': [1, 0, -1, 0, 1], 'hecke_orbit_code': 4509646958102040, 'hecke_ring_character_values': [[391, [[1, 0]]], [781, [[-1, 0]]], [521, [[-1, 0]]], [937, [[-1, 0]]], [1081, [[1, 2]]]], 'hecke_ring_cyclotomic_generator': 12, 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '1560.1.dk.b', 'level': 1560, 'maxp': 1999, 'weight': 1}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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': 1560, 'a4_dim': 0, 'a5_dim': 0, 'analytic_conductor': 0.7785414197074837, 'char_conductor': 1560, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 89, 'char_orbit_label': 'dk', 'char_order': 6, 'char_parity': -1, 'char_values': [1560, 6, [391, 781, 521, 937, 1081], [6, 3, 3, 3, 1]], 'conrey_index': 1109, 'cusp_dim': 8, 'dihedral_dim': 8, 'dim': 8, 'eis_dim': 16, 'eis_new_dim': 16, 'hecke_orbit_code': 6047330731544, 'hecke_orbit_dims': [4, 4], 'label': '1560.1.dk', 'level': 1560, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 13], 'level_radical': 390, 'mf_dim': 24, 'mf_new_dim': 24, 'num_forms': 2, 'prim_orbit_index': 89, 'relative_dim': 4, 's4_dim': 0, 'sturm_bound': 336, 'trace_bound': 3, 'trace_display': [0, 0, 0, 0], 'traces': [8, 0, 0, 4, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 4, 0, 0, 4, 0, 0, 0, 0, 0, 0, 12, 0, 0, 4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, -12, 0, 0, 0, 0, -8, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -4, -12, 0, 0, 8, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, -4, 0, 0, 4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 12, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -8, 0, 0, -4, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -8, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 8, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, -4, 0, 0, 0, 8, 0, 0, 0, 0, 0, 12, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 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0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 4, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 4, 0, 0, -12, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, -4, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 4, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 4, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, -12, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0], 'weight': 1, '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: 757975
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 89, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1560.1.dk.b', 'source_level': 1560, 'target_char_orbit': 89, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1560.1.dk.a', 'target_level': 1560, 'twist_class_label': '1560.1.dk.a', 'twist_class_level': 1560, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 757976
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 89, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1560.1.dk.b', 'source_level': 1560, 'target_char_orbit': 89, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1560.1.dk.a', 'target_level': 1560, 'twist_class_label': '1560.1.dk.a', 'twist_class_level': 1560, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 757977
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 89, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1560.1.dk.b', 'source_level': 1560, 'target_char_orbit': 89, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1560.1.dk.a', 'target_level': 1560, 'twist_class_label': '1560.1.dk.a', 'twist_class_level': 1560, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 1}
  • id: 757978
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 89, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1560.1.dk.b', 'source_level': 1560, 'target_char_orbit': 89, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1560.1.dk.a', 'target_level': 1560, 'twist_class_label': '1560.1.dk.a', 'twist_class_level': 1560, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 1}
  • id: 757979
    {'conductor': 65, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 89, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1560.1.dk.b', 'source_level': 1560, 'target_char_orbit': 89, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1560.1.dk.a', 'target_level': 1560, 'twist_class_label': '1560.1.dk.a', 'twist_class_level': 1560, 'twisting_char_label': '65.l', 'twisting_char_orbit': 12, 'weight': 1}
  • id: 757980
    {'conductor': 104, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 89, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1560.1.dk.b', 'source_level': 1560, 'target_char_orbit': 89, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1560.1.dk.a', 'target_level': 1560, 'twist_class_label': '1560.1.dk.a', 'twist_class_level': 1560, 'twisting_char_label': '104.s', 'twisting_char_orbit': 19, 'weight': 1}
  • id: 757981
    {'conductor': 195, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 89, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1560.1.dk.b', 'source_level': 1560, 'target_char_orbit': 89, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1560.1.dk.a', 'target_level': 1560, 'twist_class_label': '1560.1.dk.a', 'twist_class_level': 1560, 'twisting_char_label': '195.y', 'twisting_char_orbit': 25, 'weight': 1}
  • id: 757982
    {'conductor': 312, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 89, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1560.1.dk.b', 'source_level': 1560, 'target_char_orbit': 89, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1560.1.dk.a', 'target_level': 1560, 'twist_class_label': '1560.1.dk.a', 'twist_class_level': 1560, 'twisting_char_label': '312.bg', 'twisting_char_orbit': 33, 'weight': 1}
  • id: 757983
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 89, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1560.1.dk.b', 'source_level': 1560, 'target_char_orbit': 89, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1560.1.dk.b', 'target_level': 1560, 'twist_class_label': '1560.1.dk.a', 'twist_class_level': 1560, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 1}
  • id: 757984
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 89, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1560.1.dk.b', 'source_level': 1560, 'target_char_orbit': 89, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1560.1.dk.b', 'target_level': 1560, 'twist_class_label': '1560.1.dk.a', 'twist_class_level': 1560, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 757985
    {'conductor': 13, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 89, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1560.1.dk.b', 'source_level': 1560, 'target_char_orbit': 89, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1560.1.dk.b', 'target_level': 1560, 'twist_class_label': '1560.1.dk.a', 'twist_class_level': 1560, 'twisting_char_label': '13.e', 'twisting_char_orbit': 5, 'weight': 1}
  • id: 757986
    {'conductor': 39, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 89, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1560.1.dk.b', 'source_level': 1560, 'target_char_orbit': 89, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1560.1.dk.b', 'target_level': 1560, 'twist_class_label': '1560.1.dk.a', 'twist_class_level': 1560, 'twisting_char_label': '39.h', 'twisting_char_orbit': 8, 'weight': 1}
  • id: 757987
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 89, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1560.1.dk.b', 'source_level': 1560, 'target_char_orbit': 89, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1560.1.dk.b', 'target_level': 1560, 'twist_class_label': '1560.1.dk.a', 'twist_class_level': 1560, 'twisting_char_label': '40.f', 'twisting_char_orbit': 6, 'weight': 1}
  • id: 757988
    {'conductor': 120, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -120, 'source_char_orbit': 89, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1560.1.dk.b', 'source_level': 1560, 'target_char_orbit': 89, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1560.1.dk.b', 'target_level': 1560, 'twist_class_label': '1560.1.dk.a', 'twist_class_level': 1560, 'twisting_char_label': '120.i', 'twisting_char_orbit': 9, 'weight': 1}
  • id: 757989
    {'conductor': 520, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 89, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1560.1.dk.b', 'source_level': 1560, 'target_char_orbit': 89, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1560.1.dk.b', 'target_level': 1560, 'twist_class_label': '1560.1.dk.a', 'twist_class_level': 1560, 'twisting_char_label': '520.bp', 'twisting_char_orbit': 42, 'weight': 1}
  • id: 757990
    {'conductor': 1560, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 89, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1560.1.dk.b', 'source_level': 1560, 'target_char_orbit': 89, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1560.1.dk.b', 'target_level': 1560, 'twist_class_label': '1560.1.dk.a', 'twist_class_level': 1560, 'twisting_char_label': '1560.dk', 'twisting_char_orbit': 89, 'weight': 1}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2036150
    {'charpoly_factorization': [[[1, 0, -1, 0, 1], 1]], 'hecke_orbit_code': 4509646958102040, 'p': 2}
  • id: 2036151
    {'charpoly_factorization': [[[1, -1, 1], 2]], 'hecke_orbit_code': 4509646958102040, 'p': 3}
  • id: 2036152
    {'charpoly_factorization': [[[1, 0, 1], 2]], 'hecke_orbit_code': 4509646958102040, 'p': 5}
  • id: 2036153
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4509646958102040, 'p': 7}
  • id: 2036154
    {'charpoly_factorization': [[[1, 0, -1, 0, 1], 1]], 'hecke_orbit_code': 4509646958102040, 'p': 11}
  • id: 2036155
    {'charpoly_factorization': [[[-1, 1], 4]], 'hecke_orbit_code': 4509646958102040, 'p': 13}
  • id: 2036156
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4509646958102040, 'p': 17}
  • id: 2036157
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4509646958102040, 'p': 19}
  • id: 2036158
    {'charpoly_factorization': [[[9, 0, 3, 0, 1], 1]], 'hecke_orbit_code': 4509646958102040, 'p': 23}
  • id: 2036159
    {'charpoly_factorization': [[[9, 0, 3, 0, 1], 1]], 'hecke_orbit_code': 4509646958102040, 'p': 29}
  • id: 2036160
    {'charpoly_factorization': [[[3, 0, 1], 2]], 'hecke_orbit_code': 4509646958102040, 'p': 31}
  • id: 2036161
    {'charpoly_factorization': [[[3, -3, 1], 2]], 'hecke_orbit_code': 4509646958102040, 'p': 37}
  • id: 2036162
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4509646958102040, 'p': 41}
  • id: 2036163
    {'charpoly_factorization': [[[1, 1, 1], 2]], 'hecke_orbit_code': 4509646958102040, 'p': 43}
  • id: 2036164
    {'charpoly_factorization': [[[1, 0, 1], 2]], 'hecke_orbit_code': 4509646958102040, 'p': 47}
  • id: 2036165
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4509646958102040, 'p': 53}
  • id: 2036166
    {'charpoly_factorization': [[[1, 0, -1, 0, 1], 1]], 'hecke_orbit_code': 4509646958102040, 'p': 59}
  • id: 2036167
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4509646958102040, 'p': 61}
  • id: 2036168
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4509646958102040, 'p': 67}
  • id: 2036169
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4509646958102040, 'p': 71}
  • id: 2036170
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4509646958102040, 'p': 73}
  • id: 2036171
    {'charpoly_factorization': [[[1, 1], 4]], 'hecke_orbit_code': 4509646958102040, 'p': 79}
  • id: 2036172
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4509646958102040, 'p': 83}
  • id: 2036173
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4509646958102040, 'p': 89}
  • id: 2036174
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4509646958102040, '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': 89, 'hecke_orbit': 2, 'label': '1560.1.dk.b', 'level': 1560, 'portrait': 'data:image/png;base64,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', 'weight': 1}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 100335000
    {'hecke_orbit_code': 4509646958102040, 'n': 1, 'trace_an': 4}
  • id: 100335001
    {'hecke_orbit_code': 4509646958102040, 'n': 2, 'trace_an': 0}
  • id: 100335002
    {'hecke_orbit_code': 4509646958102040, 'n': 3, 'trace_an': 2}
  • id: 100335003
    {'hecke_orbit_code': 4509646958102040, 'n': 4, 'trace_an': 2}
  • id: 100335004
    {'hecke_orbit_code': 4509646958102040, 'n': 5, 'trace_an': 0}
  • id: 100335005
    {'hecke_orbit_code': 4509646958102040, 'n': 6, 'trace_an': 0}
  • id: 100335006
    {'hecke_orbit_code': 4509646958102040, 'n': 7, 'trace_an': 0}
  • id: 100335007
    {'hecke_orbit_code': 4509646958102040, 'n': 8, 'trace_an': 0}
  • id: 100335008
    {'hecke_orbit_code': 4509646958102040, 'n': 9, 'trace_an': -2}
  • id: 100335009
    {'hecke_orbit_code': 4509646958102040, 'n': 10, 'trace_an': 2}
  • id: 100335010
    {'hecke_orbit_code': 4509646958102040, 'n': 11, 'trace_an': 0}
  • id: 100335011
    {'hecke_orbit_code': 4509646958102040, 'n': 12, 'trace_an': 4}
  • id: 100335012
    {'hecke_orbit_code': 4509646958102040, 'n': 13, 'trace_an': 4}
  • id: 100335013
    {'hecke_orbit_code': 4509646958102040, 'n': 14, 'trace_an': 0}
  • id: 100335014
    {'hecke_orbit_code': 4509646958102040, 'n': 15, 'trace_an': 0}
  • id: 100335015
    {'hecke_orbit_code': 4509646958102040, 'n': 16, 'trace_an': -2}
  • id: 100335016
    {'hecke_orbit_code': 4509646958102040, 'n': 17, 'trace_an': 0}
  • id: 100335017
    {'hecke_orbit_code': 4509646958102040, 'n': 18, 'trace_an': 0}
  • id: 100335018
    {'hecke_orbit_code': 4509646958102040, 'n': 19, 'trace_an': 0}
  • id: 100335019
    {'hecke_orbit_code': 4509646958102040, 'n': 20, 'trace_an': 0}
  • id: 100335020
    {'hecke_orbit_code': 4509646958102040, 'n': 21, 'trace_an': 0}
  • id: 100335021
    {'hecke_orbit_code': 4509646958102040, 'n': 22, 'trace_an': -2}
  • id: 100335022
    {'hecke_orbit_code': 4509646958102040, 'n': 23, 'trace_an': 0}
  • id: 100335023
    {'hecke_orbit_code': 4509646958102040, 'n': 24, 'trace_an': 0}
  • id: 100335024
    {'hecke_orbit_code': 4509646958102040, 'n': 25, 'trace_an': -4}
  • id: 100335025
    {'hecke_orbit_code': 4509646958102040, 'n': 26, 'trace_an': 0}
  • id: 100335026
    {'hecke_orbit_code': 4509646958102040, 'n': 27, 'trace_an': -4}
  • id: 100335027
    {'hecke_orbit_code': 4509646958102040, 'n': 28, 'trace_an': 0}
  • id: 100335028
    {'hecke_orbit_code': 4509646958102040, 'n': 29, 'trace_an': 0}
  • id: 100335029
    {'hecke_orbit_code': 4509646958102040, 'n': 30, 'trace_an': -2}
  • id: 100335030
    {'hecke_orbit_code': 4509646958102040, 'n': 31, 'trace_an': 0}
  • id: 100335031
    {'hecke_orbit_code': 4509646958102040, 'n': 32, 'trace_an': 0}
  • id: 100335032
    {'hecke_orbit_code': 4509646958102040, 'n': 33, 'trace_an': 0}
  • id: 100335033
    {'hecke_orbit_code': 4509646958102040, 'n': 34, 'trace_an': 0}
  • id: 100335034
    {'hecke_orbit_code': 4509646958102040, 'n': 35, 'trace_an': 0}
  • id: 100335035
    {'hecke_orbit_code': 4509646958102040, 'n': 36, 'trace_an': 2}
  • id: 100335036
    {'hecke_orbit_code': 4509646958102040, 'n': 37, 'trace_an': 6}
  • id: 100335037
    {'hecke_orbit_code': 4509646958102040, 'n': 38, 'trace_an': 0}
  • id: 100335038
    {'hecke_orbit_code': 4509646958102040, 'n': 39, 'trace_an': 2}
  • id: 100335039
    {'hecke_orbit_code': 4509646958102040, 'n': 40, 'trace_an': 4}
  • id: 100335040
    {'hecke_orbit_code': 4509646958102040, 'n': 41, 'trace_an': 0}
  • id: 100335041
    {'hecke_orbit_code': 4509646958102040, 'n': 42, 'trace_an': 0}
  • id: 100335042
    {'hecke_orbit_code': 4509646958102040, 'n': 43, 'trace_an': -2}
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  • id: 100335919
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  • id: 100335922
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  • id: 100335925
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  • id: 100335926
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  • id: 100335929
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  • id: 100335930
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  • id: 100335945
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  • id: 100335946
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  • id: 100335947
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  • id: 100335948
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  • id: 100335951
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  • id: 100335961
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  • id: 100335962
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  • id: 100335963
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  • id: 100335999
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