Newform data - 1936.1.d.b

Formats: - HTML - YAML - JSON - 2026-10-05T17:10:26.752804

• 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': 1936, 'analytic_conductor': 0.9661898644574927, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 4, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [1936, 2, [1695, 485, 849], [1, 2, 2]], 'cm_discs': [-11], 'conrey_index': 1695, 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [3, 0, 1]], [5, [-1, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503805802579856, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 11, 2, -1, 2, -11], [1, 1, 4, 2, -1, 2, 0], [1, 1, 44, 3, 1, 2, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '1936.1.d.b', 'level': 1936, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 11], 'level_radical': 22, 'minimal_twist': '1936.1.d.b', 'nf_label': '2.0.3.1', 'prim_orbit_index': 2, 'projective_field': [-2, -8, -2, 6, 0, -2, 1], 'projective_field_label': '6.2.340736.1', 'projective_image': 'D6', 'projective_image_type': 'Dn', 'qexp_display': 'q+(\\zeta_{6}+\\zeta_{6}^{2})q^{3}+q^{5}+(-1-\\zeta_{6}+\\zeta_{6}^{2}+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'self_twist_discs': [-11], 'self_twist_type': 1, 'space_label': '1936.1.d', 'trace_display': [0, 0, 2, 0], 'trace_hash': 175227205181156116, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.016', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.922', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.016', 'prec': 7}, {'__RealLiteral__': 0, 'data': '22.817', 'prec': 17}, {'__RealLiteral__': 0, 'data': '-0.685', 'prec': 10}, {'__RealLiteral__': 0, 'data': '333.323', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.756', 'prec': 10}, 'traces': [2, 0, 0, 0, 2, 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, -2, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 2, 0, 0, 0, 4, 0, 0, 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, 2, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, -6, 0, 0, 0, 2, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 6, 0, 0, 0, -2, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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-6, 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, -6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 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, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 2, 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, -2, 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], '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, 2]], [], [[1, 0]], [], [], [], [[-1, 0], [-1, 1], [1, 2]], [], [], [], [], [], [[1, 1], [1, 2]], [], [], [], [], [], [], [], [[1, 1], [1, 2]], [], [], [], [[-1, 1], [-1, 2]], [], [], [], [[1, 1], [1, 2]], [], [], [], [], [], [[-1, 0]], [], [], [], [], [], [], [], [[-1, 0], [-1, 1], [1, 2]], [], [], [], [[1, 0]], [], [], [], [[2, 0]], [], [], [], [], [], [[-1, 1], [-1, 2]], [], [], [], [], [], [], [], [[-1, 1], [-1, 2]], [], [[-2, 0], [-1, 1], [1, 2]], [], [[-1, 1], [-1, 2]], [], [], [], [], [], [], [], [], [], [[1, 0]], [], [], [], [], [], [], [], [[-1, 0]], [], [], [], [[-2, 0], [-1, 1], [1, 2]], [], [], [], [[1, 0]], [], [], []], 'ap': [[], [[1, 1], [1, 2]], [[1, 0]], [], [], [], [], [], [[1, 1], [1, 2]], [], [[1, 1], [1, 2]], [[-1, 0]], [], [], [], [[2, 0]], [[-1, 1], [-1, 2]], [], [[-1, 1], [-1, 2]], [[-1, 1], [-1, 2]], [], [], [], [[-1, 0]], [[1, 0]], [], [], [], [], [[1, 0]], [], [], [[1, 0]], [], [], [], [[1, 0]], [], [], [], [[-1, 1], [-1, 2]], [[-1, 0]], [[-1, 1], [-1, 2]], [], [], [], [], [[1, 1], [1, 2]], [], [[-1, 0]], [], [], [], [[-1, 1], [-1, 2]], [[2, 0]], [], [[2, 0]], [], [], [], [], [], [], [], [[-1, 0]], [[1, 0]], [[1, 1], [1, 2]], [], [], [], [[-1, 0]], [], [[1, 1], [1, 2]], [], [[1, 1], [1, 2]], [[1, 1], [1, 2]], [[1, 0]], [[-2, 0]], [[-2, 0]], [], [], [[-2, 0]], [], [[1, 0]], [], [[-1, 1], [-1, 2]], [[-1, 0]], [], [], [[-1, 1], [-1, 2]], [[-1, 1], [-1, 2]], [], [[1, 1], [1, 2]], [], [], [], [[-1, 0]], [[1, 0]], [], [], [], [], [], [], [], [[1, 0]], [], [], [], [], [], [], [[-2, 0]], [[1, 1], [1, 2]], [[1, 1], [1, 2]], [[-1, 0]], [[-1, 1], [-1, 2]], [[-1, 1], [-1, 2]], [[-1, 0]], [], [[1, 0]], [], [], [], [[-1, 1], [-1, 2]], [], [[-1, 0]], [[1, 1], [1, 2]], [[1, 1], [1, 2]], [], [], [], [[-1, 1], [-1, 2]], [[-2, 0]], [], [], [[2, 0]], [], [[1, 0]], [], [], [], [[1, 1], [1, 2]], [], [[1, 0]], [[1, 1], [1, 2]], [], [], [[-1, 1], [-1, 2]], [], [], [[1, 0]], [], [], [], [], [], [[-2, 0]], [], [], [[-1, 1], [-1, 2]], [], [], [[1, 1], [1, 2]], [[1, 0]], [[1, 1], [1, 2]], [], [], [], [[-1, 0]], [], [[-2, 0]], [], [], [[-1, 1], [-1, 2]], [[1, 0]], [], [[-1, 0]], [], [], [], [], [[1, 0]], [], [[-1, 1], [-1, 2]], [[2, 0]], [], [], [], [], [[1, 0]], [], [[-1, 1], [-1, 2]], [[-2, 0]], [], [[-1, 0]], [], [[-1, 0]], [], [], [], [], [[2, 0]], [], [[1, 1], [1, 2]], [[1, 0]], [[-1, 1], [-1, 2]], [], [], [], [], [[-1, 0]], [[1, 1], [1, 2]], [], [], [[-1, 0]], [], [], [], [[-1, 0]], [], [], [[1, 0]], [[-1, 1], [-1, 2]], [], [], [[-2, 0]], [], [], [], [[1, 0]], [], [], [], [[-1, 1], [-1, 2]], [], [[1, 0]], [], [[1, 1], [1, 2]], [[-1, 1], [-1, 2]], [[1, 1], [1, 2]], [], [], [[1, 0]], [], [], [], [], [], [], [], [], [[-1, 1], [-1, 2]], [[2, 0]], [], [], [[-2, 0]], [], [[1, 0]], [], [], [], [], [], [[2, 0]], [], [[-1, 0]], [[1, 0]], [], [], [[1, 0]], [[1, 1], [1, 2]], [[-2, 0]], [], [], [[1, 1], [1, 2]], [[1, 1], [1, 2]], [], [], [], [], [[-1, 1], [-1, 2]], [], [], [], [[-1, 1], [-1, 2]], [[-2, 0]], [], [[-1, 1], [-1, 2]], [], [[1, 0]], [], [], [], [], [], [[-1, 1], [-1, 2]], [[-1, 0]], [], [], [], [], []], 'char_orbit_index': 4, 'field_poly': [1, -1, 1], 'hecke_orbit_code': 4503805802579856, 'hecke_ring_character_values': [[1695, [[-1, 0]]], [485, [[1, 0]]], [849, [[1, 0]]]], 'hecke_ring_cyclotomic_generator': 6, 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '1936.1.d.b', 'level': 1936, 'maxp': 1999, 'weight': 1}
• 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': 1936, 'a4_dim': 0, 'a5_dim': 0, 'analytic_conductor': 0.9661898644574927, 'char_conductor': 4, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [1936, 2, [1695, 485, 849], [1, 2, 2]], 'conrey_index': 1695, 'cusp_dim': 11, 'dihedral_dim': 5, 'dim': 5, 'eis_dim': 36, 'eis_new_dim': 0, 'hecke_orbit_code': 206175209360, 'hecke_orbit_dims': [1, 2, 2], 'label': '1936.1.d', 'level': 1936, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 11], 'level_radical': 22, 'mf_dim': 47, 'mf_new_dim': 5, 'num_forms': 3, 'prim_orbit_index': 2, 'relative_dim': 5, 's4_dim': 0, 'sturm_bound': 264, 'trace_bound': 9, 'trace_display': [0, 0, 2, 0], 'traces': [5, 0, 0, 0, 2, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 5, 0, 0, 0, 4, 0, 0, 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, 5, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, -6, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 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, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, -2, 0, 0, 0, -8, 0, 0, 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, 6, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 3, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, -2, 0, 0, 0, 4, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, -4, 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, -6, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 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, 2, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, -4, 0, 0, 0, 2, 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, 2, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, -8, 0, 0, 0, -2, 0, 0, 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, -8, 0, 0, 0, 0, 0, 0, 0, 8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 6, 0, 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, 0, 8, 0, 0, 0, 0, 0, 0, 0, 6, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 6, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 4, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 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, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 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, 2, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 1, 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, -4, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 6, 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, 6, 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, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 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: 845018
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1936.1.d.b', 'source_level': 1936, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1936.1.d.b', 'target_level': 1936, 'twist_class_label': '1936.1.d.b', 'twist_class_level': 1936, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 1}
  • id: 845019
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1936.1.d.b', 'source_level': 1936, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1936.1.d.b', 'target_level': 1936, 'twist_class_label': '1936.1.d.b', 'twist_class_level': 1936, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 845020
    {'conductor': 11, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -11, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1936.1.d.b', 'source_level': 1936, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1936.1.d.b', 'target_level': 1936, 'twist_class_label': '1936.1.d.b', 'twist_class_level': 1936, 'twisting_char_label': '11.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 845021
    {'conductor': 44, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1936.1.d.b', 'source_level': 1936, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1936.1.d.b', 'target_level': 1936, 'twist_class_label': '1936.1.d.b', 'twist_class_level': 1936, 'twisting_char_label': '44.c', 'twisting_char_orbit': 3, 'weight': 1}
  • id: 845022
    {'conductor': 11, 'degree': 4, 'multiplicity': 4, 'order': 5, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1936.1.d.b', 'source_level': 1936, 'target_char_orbit': 18, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '1936.1.r.c', 'target_level': 1936, 'twist_class_label': '1936.1.d.b', 'twist_class_level': 1936, 'twisting_char_label': '11.c', 'twisting_char_orbit': 3, 'weight': 1}
  • id: 845023
    {'conductor': 11, 'degree': 4, 'multiplicity': 4, 'order': 10, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1936.1.d.b', 'source_level': 1936, 'target_char_orbit': 18, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '1936.1.r.c', 'target_level': 1936, 'twist_class_label': '1936.1.d.b', 'twist_class_level': 1936, 'twisting_char_label': '11.d', 'twisting_char_orbit': 4, 'weight': 1}
  • id: 845024
    {'conductor': 44, 'degree': 4, 'multiplicity': 4, 'order': 10, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1936.1.d.b', 'source_level': 1936, 'target_char_orbit': 18, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '1936.1.r.c', 'target_level': 1936, 'twist_class_label': '1936.1.d.b', 'twist_class_level': 1936, 'twisting_char_label': '44.g', 'twisting_char_orbit': 7, 'weight': 1}
  • id: 845025
    {'conductor': 44, 'degree': 4, 'multiplicity': 4, 'order': 10, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1936.1.d.b', 'source_level': 1936, 'target_char_orbit': 18, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '1936.1.r.c', 'target_level': 1936, 'twist_class_label': '1936.1.d.b', 'twist_class_level': 1936, 'twisting_char_label': '44.h', 'twisting_char_orbit': 8, 'weight': 1}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2314475
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 2}
  • id: 2314476
    {'charpoly_factorization': [[[3, 0, 1], 1]], 'hecke_orbit_code': 4503805802579856, 'p': 3}
  • id: 2314477
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 5}
  • id: 2314478
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 7}
  • id: 2314479
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 11}
  • id: 2314480
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 13}
  • id: 2314481
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 17}
  • id: 2314482
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 19}
  • id: 2314483
    {'charpoly_factorization': [[[3, 0, 1], 1]], 'hecke_orbit_code': 4503805802579856, 'p': 23}
  • id: 2314484
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 29}
  • id: 2314485
    {'charpoly_factorization': [[[3, 0, 1], 1]], 'hecke_orbit_code': 4503805802579856, 'p': 31}
  • id: 2314486
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 37}
  • id: 2314487
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 41}
  • id: 2314488
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 43}
  • id: 2314489
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 47}
  • id: 2314490
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 53}
  • id: 2314491
    {'charpoly_factorization': [[[3, 0, 1], 1]], 'hecke_orbit_code': 4503805802579856, 'p': 59}
  • id: 2314492
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 61}
  • id: 2314493
    {'charpoly_factorization': [[[3, 0, 1], 1]], 'hecke_orbit_code': 4503805802579856, 'p': 67}
  • id: 2314494
    {'charpoly_factorization': [[[3, 0, 1], 1]], 'hecke_orbit_code': 4503805802579856, 'p': 71}
  • id: 2314495
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 73}
  • id: 2314496
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 79}
  • id: 2314497
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 83}
  • id: 2314498
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 4503805802579856, 'p': 89}
  • id: 2314499
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 4503805802579856, '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': 2, 'label': '1936.1.d.b', 'level': 1936, 'portrait': 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', 'weight': 1}
• 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: 21441583
    {'hecke_orbit_code': 4503805802579856, 'n': 1, 'trace_an': 2}
  • id: 21441584
    {'hecke_orbit_code': 4503805802579856, 'n': 2, 'trace_an': 0}
  • id: 21441585
    {'hecke_orbit_code': 4503805802579856, 'n': 3, 'trace_an': 0}
  • id: 21441586
    {'hecke_orbit_code': 4503805802579856, 'n': 4, 'trace_an': 0}
  • id: 21441587
    {'hecke_orbit_code': 4503805802579856, 'n': 5, 'trace_an': 2}
  • id: 21441588
    {'hecke_orbit_code': 4503805802579856, 'n': 6, 'trace_an': 0}
  • id: 21441589
    {'hecke_orbit_code': 4503805802579856, 'n': 7, 'trace_an': 0}
  • id: 21441590
    {'hecke_orbit_code': 4503805802579856, 'n': 8, 'trace_an': 0}
  • id: 21441591
    {'hecke_orbit_code': 4503805802579856, 'n': 9, 'trace_an': -4}
  • id: 21441592
    {'hecke_orbit_code': 4503805802579856, 'n': 10, 'trace_an': 0}
  • id: 21441593
    {'hecke_orbit_code': 4503805802579856, 'n': 11, 'trace_an': 0}
  • id: 21441594
    {'hecke_orbit_code': 4503805802579856, 'n': 12, 'trace_an': 0}
  • id: 21441595
    {'hecke_orbit_code': 4503805802579856, 'n': 13, 'trace_an': 0}
  • id: 21441596
    {'hecke_orbit_code': 4503805802579856, 'n': 14, 'trace_an': 0}
  • id: 21441597
    {'hecke_orbit_code': 4503805802579856, 'n': 15, 'trace_an': 0}
  • id: 21441598
    {'hecke_orbit_code': 4503805802579856, 'n': 16, 'trace_an': 0}
  • id: 21441599
    {'hecke_orbit_code': 4503805802579856, 'n': 17, 'trace_an': 0}
  • id: 21441600
    {'hecke_orbit_code': 4503805802579856, 'n': 18, 'trace_an': 0}
  • id: 21441601
    {'hecke_orbit_code': 4503805802579856, 'n': 19, 'trace_an': 0}
  • id: 21441602
    {'hecke_orbit_code': 4503805802579856, 'n': 20, 'trace_an': 0}
  • id: 21441603
    {'hecke_orbit_code': 4503805802579856, 'n': 21, 'trace_an': 0}
  • id: 21441604
    {'hecke_orbit_code': 4503805802579856, 'n': 22, 'trace_an': 0}
  • id: 21441605
    {'hecke_orbit_code': 4503805802579856, 'n': 23, 'trace_an': 0}
  • id: 21441606
    {'hecke_orbit_code': 4503805802579856, 'n': 24, 'trace_an': 0}
  • id: 21441607
    {'hecke_orbit_code': 4503805802579856, 'n': 25, 'trace_an': 0}
  • id: 21441608
    {'hecke_orbit_code': 4503805802579856, 'n': 26, 'trace_an': 0}
  • id: 21441609
    {'hecke_orbit_code': 4503805802579856, 'n': 27, 'trace_an': 0}
  • id: 21441610
    {'hecke_orbit_code': 4503805802579856, 'n': 28, 'trace_an': 0}
  • id: 21441611
    {'hecke_orbit_code': 4503805802579856, 'n': 29, 'trace_an': 0}
  • id: 21441612
    {'hecke_orbit_code': 4503805802579856, 'n': 30, 'trace_an': 0}
  • id: 21441613
    {'hecke_orbit_code': 4503805802579856, 'n': 31, 'trace_an': 0}
  • id: 21441614
    {'hecke_orbit_code': 4503805802579856, 'n': 32, 'trace_an': 0}
  • id: 21441615
    {'hecke_orbit_code': 4503805802579856, 'n': 33, 'trace_an': 0}
  • id: 21441616
    {'hecke_orbit_code': 4503805802579856, 'n': 34, 'trace_an': 0}
  • id: 21441617
    {'hecke_orbit_code': 4503805802579856, 'n': 35, 'trace_an': 0}
  • id: 21441618
    {'hecke_orbit_code': 4503805802579856, 'n': 36, 'trace_an': 0}
  • id: 21441619
    {'hecke_orbit_code': 4503805802579856, 'n': 37, 'trace_an': -2}
  • id: 21441620
    {'hecke_orbit_code': 4503805802579856, 'n': 38, 'trace_an': 0}
  • id: 21441621
    {'hecke_orbit_code': 4503805802579856, 'n': 39, 'trace_an': 0}
  • id: 21441622
    {'hecke_orbit_code': 4503805802579856, 'n': 40, 'trace_an': 0}
  • id: 21441623
    {'hecke_orbit_code': 4503805802579856, 'n': 41, 'trace_an': 0}
  • id: 21441624
    {'hecke_orbit_code': 4503805802579856, 'n': 42, 'trace_an': 0}
  • id: 21441625
    {'hecke_orbit_code': 4503805802579856, 'n': 43, 'trace_an': 0}
  • id: 21441626
    {'hecke_orbit_code': 4503805802579856, 'n': 44, 'trace_an': 0}
  • id: 21441627
    {'hecke_orbit_code': 4503805802579856, 'n': 45, 'trace_an': -4}
  • id: 21441628
    {'hecke_orbit_code': 4503805802579856, 'n': 46, 'trace_an': 0}
  • id: 21441629
    {'hecke_orbit_code': 4503805802579856, 'n': 47, 'trace_an': 0}
  • id: 21441630
    {'hecke_orbit_code': 4503805802579856, 'n': 48, 'trace_an': 0}
  • id: 21441631
    {'hecke_orbit_code': 4503805802579856, 'n': 49, 'trace_an': 2}
  • id: 21441632
    {'hecke_orbit_code': 4503805802579856, 'n': 50, 'trace_an': 0}
  • id: 21441633
    {'hecke_orbit_code': 4503805802579856, 'n': 51, 'trace_an': 0}
  • id: 21441634
    {'hecke_orbit_code': 4503805802579856, 'n': 52, 'trace_an': 0}
  • id: 21441635
    {'hecke_orbit_code': 4503805802579856, 'n': 53, 'trace_an': 4}
  • id: 21441636
    {'hecke_orbit_code': 4503805802579856, 'n': 54, 'trace_an': 0}
  • id: 21441637
    {'hecke_orbit_code': 4503805802579856, 'n': 55, 'trace_an': 0}
  • id: 21441638
    {'hecke_orbit_code': 4503805802579856, 'n': 56, 'trace_an': 0}
  • id: 21441639
    {'hecke_orbit_code': 4503805802579856, 'n': 57, 'trace_an': 0}
  • id: 21441640
    {'hecke_orbit_code': 4503805802579856, 'n': 58, 'trace_an': 0}
  • id: 21441641
    {'hecke_orbit_code': 4503805802579856, 'n': 59, 'trace_an': 0}
  • id: 21441642
    {'hecke_orbit_code': 4503805802579856, 'n': 60, 'trace_an': 0}
  • id: 21441643
    {'hecke_orbit_code': 4503805802579856, 'n': 61, 'trace_an': 0}
  • id: 21441644
    {'hecke_orbit_code': 4503805802579856, 'n': 62, 'trace_an': 0}
  • id: 21441645
    {'hecke_orbit_code': 4503805802579856, 'n': 63, 'trace_an': 0}
  • id: 21441646
    {'hecke_orbit_code': 4503805802579856, 'n': 64, 'trace_an': 0}
  • id: 21441647
    {'hecke_orbit_code': 4503805802579856, 'n': 65, 'trace_an': 0}
  • id: 21441648
    {'hecke_orbit_code': 4503805802579856, 'n': 66, 'trace_an': 0}
  • id: 21441649
    {'hecke_orbit_code': 4503805802579856, 'n': 67, 'trace_an': 0}
  • id: 21441650
    {'hecke_orbit_code': 4503805802579856, 'n': 68, 'trace_an': 0}
  • id: 21441651
    {'hecke_orbit_code': 4503805802579856, 'n': 69, 'trace_an': -6}
  • id: 21441652
    {'hecke_orbit_code': 4503805802579856, 'n': 70, 'trace_an': 0}
  • id: 21441653
    {'hecke_orbit_code': 4503805802579856, 'n': 71, 'trace_an': 0}
  • id: 21441654
    {'hecke_orbit_code': 4503805802579856, 'n': 72, 'trace_an': 0}
  • id: 21441655
    {'hecke_orbit_code': 4503805802579856, 'n': 73, 'trace_an': 0}
  • id: 21441656
    {'hecke_orbit_code': 4503805802579856, 'n': 74, 'trace_an': 0}
  • id: 21441657
    {'hecke_orbit_code': 4503805802579856, 'n': 75, 'trace_an': 0}
  • id: 21441658
    {'hecke_orbit_code': 4503805802579856, 'n': 76, 'trace_an': 0}
  • id: 21441659
    {'hecke_orbit_code': 4503805802579856, 'n': 77, 'trace_an': 0}
  • id: 21441660
    {'hecke_orbit_code': 4503805802579856, 'n': 78, 'trace_an': 0}
  • id: 21441661
    {'hecke_orbit_code': 4503805802579856, 'n': 79, 'trace_an': 0}
  • id: 21441662
    {'hecke_orbit_code': 4503805802579856, 'n': 80, 'trace_an': 0}
  • id: 21441663
    {'hecke_orbit_code': 4503805802579856, 'n': 81, 'trace_an': 2}
  • id: 21441664
    {'hecke_orbit_code': 4503805802579856, 'n': 82, 'trace_an': 0}
  • id: 21441665
    {'hecke_orbit_code': 4503805802579856, 'n': 83, 'trace_an': 0}
  • id: 21441666
    {'hecke_orbit_code': 4503805802579856, 'n': 84, 'trace_an': 0}
  • id: 21441667
    {'hecke_orbit_code': 4503805802579856, 'n': 85, 'trace_an': 0}
  • id: 21441668
    {'hecke_orbit_code': 4503805802579856, 'n': 86, 'trace_an': 0}
  • id: 21441669
    {'hecke_orbit_code': 4503805802579856, 'n': 87, 'trace_an': 0}
  • id: 21441670
    {'hecke_orbit_code': 4503805802579856, 'n': 88, 'trace_an': 0}
  • id: 21441671
    {'hecke_orbit_code': 4503805802579856, 'n': 89, 'trace_an': -2}
  • id: 21441672
    {'hecke_orbit_code': 4503805802579856, 'n': 90, 'trace_an': 0}
  • id: 21441673
    {'hecke_orbit_code': 4503805802579856, 'n': 91, 'trace_an': 0}
  • id: 21441674
    {'hecke_orbit_code': 4503805802579856, 'n': 92, 'trace_an': 0}
  • id: 21441675
    {'hecke_orbit_code': 4503805802579856, 'n': 93, 'trace_an': -6}
  • id: 21441676
    {'hecke_orbit_code': 4503805802579856, 'n': 94, 'trace_an': 0}
  • id: 21441677
    {'hecke_orbit_code': 4503805802579856, 'n': 95, 'trace_an': 0}
  • id: 21441678
    {'hecke_orbit_code': 4503805802579856, 'n': 96, 'trace_an': 0}
  • id: 21441679
    {'hecke_orbit_code': 4503805802579856, 'n': 97, 'trace_an': 2}
  • id: 21441680
    {'hecke_orbit_code': 4503805802579856, 'n': 98, 'trace_an': 0}
  • id: 21441681
    {'hecke_orbit_code': 4503805802579856, 'n': 99, 'trace_an': 0}
  • id: 21441682
    {'hecke_orbit_code': 4503805802579856, 'n': 100, 'trace_an': 0}