Newform data - 855.1.g.b

Formats: - HTML - YAML - JSON - 2025-04-23T20:54:44.131415

• 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': 855, 'analytic_conductor': 0.42670058580121706, 'analytic_rank': 0, 'analytic_rank_proved': True, 'artin_degree': 16, 'artin_field': [31, -41, 2, 7, 1, 5, -4, -1, 1], 'artin_field_label': '8.0.164480625.1', 'artin_image': '16.13', 'char_conductor': 95, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 2, 'char_parity': -1, 'char_values': [855, 2, [191, 172, 496], [2, 1, 1]], 'cm_discs': [-15, -19], 'conrey_index': 379, 'dim': 2, 'embedded_related_objects': [['ArtinRepresentation/2.3e2_5_19.8t11.3c1'], ['ArtinRepresentation/2.3e2_5_19.8t11.3c2']], 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [0, 1]], [11, [0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4504011961008983, 'hecke_ring_generator_nbound': 5, '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, 15, 4, -1, 2, -15], [1, 1, 19, 2, -1, 2, -19], [1, 1, 285, 2, 1, 2, 285], [1, 1, 3, 2, -1, 2, 0], [1, 1, 5, 2, 1, 2, 0], [1, 1, 57, 4, 1, 2, 0], [1, 1, 95, 4, -1, 2, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': True, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '855.1.g.b', 'level': 855, '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': [3, 5, 19], 'level_radical': 285, 'minimal_twist': '855.1.g.b', 'nf_label': '2.0.4.1', 'prim_orbit_index': 4, 'projective_field': [1, 0, 17, 0, 1], 'projective_field_label': '4.0.81225.1', 'projective_image': 'D2', 'projective_image_type': 'Dn', 'qexp_display': 'q-q^{4}-i q^{5}+q^{16}-2 i q^{17}-q^{19}+\\cdots', 'related_objects': ['ArtinRepresentation/2.3e2_5_19.8t11.3'], 'relative_dim': 2, 'rm_discs': [285], 'self_twist_discs': [-15, -19, 285], 'self_twist_type': 3, 'space_label': '855.1.g', 'trace_display': [0, 0, 0, 0], 'trace_hash': 2079307856433860468, 'trace_moments': [{'__RealLiteral__': 0, 'data': '-0.006', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1.794', 'prec': 17}, {'__RealLiteral__': 0, 'data': '-0.070', 'prec': 20}, {'__RealLiteral__': 0, 'data': '28.654', 'prec': 20}, {'__RealLiteral__': 0, 'data': '-1.027', 'prec': 20}, {'__RealLiteral__': 0, 'data': '458.272', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.887', 'prec': 17}, 'traces': [2, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, -2, 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, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 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• 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, 0]], [[-1, 1]], [], [], [], [], [], [], [], [], [], [], [[1, 0]], [[-1, 1], [-1, 1]], [], [[-1, 0]], [[1, 1]], [], [], [[-1, 1], [-1, 1]], [], [[-1, 0]], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [[1, 1], [1, 1]], [], [[1, 0]], [], [], [], [], [], [], [], [], [], [], [], [[1, 0], [1, 0]], [], [], [[-1, 0]], [], [], [], [[2, 1]], [], [], [], [], [], [], [], [[1, 0]], [], [], [], [[-1, 1]], [], [], [[1, 1], [1, 1]], [], [[-2, 0]], [], [], [], [], [], [], [[2, 1]], [], [], [[1, 1]], [], [], [], [], [[1, 0]]], 'ap': [[], [], [[-1, 1]], [], [], [], [[-1, 1], [-1, 1]], [[-1, 0]], [[-1, 1], [-1, 1]], [], [], [], [], [], [[1, 1], [1, 1]], [], [], [[1, 0], [1, 0]], [], [], [], [], [[1, 1], [1, 1]], [], [], [], [], [], [], [], [], [], [[-1, 1], [-1, 1]], [[1, 0], [1, 0]], [], [], [], [], [], [], [], [], [], [], [[1, 1], [1, 1]], [[1, 0], [1, 0]], [], [], [], [[1, 0], [1, 0]], [[-1, 1], [-1, 1]], [], [], [], [], [[1, 1], [1, 1]], [], [[-1, 0], [-1, 0]], [], [], [], [], [], [], [], [], [], [], [[-1, 1], [-1, 1]], [[1, 0], [1, 0]], [[-1, 1], [-1, 1]], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [[-1, 1], [-1, 1]], [], [], [], [], [[1, 1], [1, 1]], [], [], [], [[1, 0], [1, 0]], [[1, 1], [1, 1]], [], [], [], [[-1, 0], [-1, 0]], [], [[1, 1], [1, 1]], [], [], [[-1, 0], [-1, 0]], [], [[1, 1], [1, 1]], [[1, 1], [1, 1]], [], [], [], [], [[-1, 1], [-1, 1]], [[1, 0], [1, 0]], [[1, 0], [1, 0]], [], [], [[-1, 1], [-1, 1]], [[1, 1], [1, 1]], [], [], [], [], [], [[-1, 0], [-1, 0]], [], [[1, 0], [1, 0]], [], [], [], [[-1, 0], [-1, 0]], [], [], [], [], [[1, 0], [1, 0]], [], [], [], [], [], [], [], [], [], [], [], [], [[-1, 0], [-1, 0]], [], [], [], [], [], [], [], [[-1, 0], [-1, 0]], [], [], [], [[-1, 1], [-1, 1]], [], [], [], [], [], [], [], [], [[1, 1], [1, 1]], [], [], [], [], [], [], [[-1, 0], [-1, 0]], [], [], [[-1, 0], [-1, 0]], [], [], [], [], [[-1, 1], [-1, 1]], [], [], [], [], [], [], [[-1, 1], [-1, 1]], [], [], [[1, 1], [1, 1]], [], [[1, 0], [1, 0]], [], [[1, 1], [1, 1]], [[-1, 1], [-1, 1]], [], [], [], [], [], [[1, 1], [1, 1]], [[-1, 0], [-1, 0]], [], [], [], [], [], [], [], [], [], [], [], [], [[1, 1], [1, 1]], [], [], [], [], [], [[-1, 0], [-1, 0]], [], [], [], [], [], [], [], [], [], [[1, 1], [1, 1]], [[-1, 0], [-1, 0]], [[1, 1], [1, 1]], [], [], [], [[1, 0], [1, 0]], [], [], [], [], [], [], [], [[1, 1], [1, 1]], [], [], [[-1, 1], [-1, 1]], [], [[1, 1], [1, 1]], [], [[1, 0], [1, 0]], [], [], [], [], [], [[-1, 0], [-1, 0]], [], [[1, 1], [1, 1]], [], [], [], [], [[1, 1], [1, 1]], [], [], [], [[1, 0], [1, 0]], [], [], [[-1, 1], [-1, 1]], [], [], [], [], [[1, 0], [1, 0]], [[1, 1], [1, 1]], [], [], [], [], [], [[-1, 0], [-1, 0]], [], [], [[-1, 1], [-1, 1]], [], [], [], [], [], [[-1, 1], [-1, 1]], [], [], [], [], [[-1, 0], [-1, 0]]], 'char_orbit_index': 7, 'field_poly': [1, 0, 1], 'hecke_orbit_code': 4504011961008983, 'hecke_ring_character_values': [[191, [[1, 0]]], [172, [[-1, 0]]], [496, [[-1, 0]]]], 'hecke_ring_cyclotomic_generator': 4, 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '855.1.g.b', 'level': 855, 'maxp': 1999, 'weight': 1}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 855, 'a4_dim': 0, 'a5_dim': 0, 'analytic_conductor': 0.42670058580121706, 'char_conductor': 95, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 2, 'char_parity': -1, 'char_values': [855, 2, [191, 172, 496], [2, 1, 1]], 'conrey_index': 379, 'cusp_dim': 14, 'dihedral_dim': 5, 'dim': 5, 'eis_dim': 8, 'eis_new_dim': 2, 'hecke_orbit_code': 412333638487, 'hecke_orbit_dims': [1, 2, 2], 'label': '855.1.g', 'level': 855, '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': [3, 5, 19], 'level_radical': 285, 'mf_dim': 22, 'mf_new_dim': 7, 'num_forms': 3, 'prim_orbit_index': 4, 'relative_dim': 5, 's4_dim': 0, 'sturm_bound': 120, 'trace_bound': 4, 'trace_display': [0, 0, 1, 0], 'traces': [5, 0, 0, -1, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 0, 0, -3, 3, 0, 0, 0, 0, 1, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 2, 0, 0, -5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, -1, 0, 0, 0, -3, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3, 0, 0, 0, 0, 3, 2, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -1, 0, 0, 0, 1, 0, 0, 0, 0, -4, -6, 0, 0, -4, 0, 0, 0, 0, 2, 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, -1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 4, 0, -1, 0, 0, 2, 0, 0, 0, 0, 0, 0, -4, 0, 0, 2, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 4, 0, 0, 2, 0, 0, 0, 0, 0, 4, 0, 0, 0, -6, 0, 0, 0, 0, -2, 1, 0, 0, 0, 0, 0, 2, 0, 0, 4, 0, 5, 0, 0, 0, 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, -3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 4, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 4, 0, 0, -6, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, -3, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 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, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 4, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, -4, 0, 0, -3, 0, 0, 0, 0, 0, 0, 2, 0, 0, 4, 0, 0, 0, 0, 2, 3, 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, -3, -4, 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, -2, 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, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, -5, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 2, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, -4, 0, 0, -4, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 4, 0, -6, 0, 0, 0, 2, 0, 0, 0, 0, 0, 2, 0, 0, -2, 0, 0, 0, 0, 2, 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, -6, 0, 0, 0, 0, 0, -2, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 6, 0, 4, 0, 0, 2, 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, -10, 0, 0, 8, 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, 0, 0, 0, -2, 0, 0, 0, 0, 5, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, -2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, -3, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, -2, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, -4, 0, 2, 0, 0, 0, 3, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 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: 538650
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 7, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '855.1.g.b', 'source_level': 855, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '855.1.g.b', 'target_level': 855, 'twist_class_label': '855.1.g.b', 'twist_class_level': 855, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 1}
  • id: 538651
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '855.1.g.b', 'source_level': 855, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '855.1.g.b', 'target_level': 855, 'twist_class_label': '855.1.g.b', 'twist_class_level': 855, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 538652
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '855.1.g.b', 'source_level': 855, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '855.1.g.b', 'target_level': 855, 'twist_class_label': '855.1.g.b', 'twist_class_level': 855, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 538653
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -15, 'source_char_orbit': 7, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '855.1.g.b', 'source_level': 855, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '855.1.g.b', 'target_level': 855, 'twist_class_label': '855.1.g.b', 'twist_class_level': 855, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 1}
  • id: 538654
    {'conductor': 19, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -19, 'source_char_orbit': 7, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '855.1.g.b', 'source_level': 855, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '855.1.g.b', 'target_level': 855, 'twist_class_label': '855.1.g.b', 'twist_class_level': 855, 'twisting_char_label': '19.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 538655
    {'conductor': 57, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '855.1.g.b', 'source_level': 855, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '855.1.g.b', 'target_level': 855, 'twist_class_label': '855.1.g.b', 'twist_class_level': 855, 'twisting_char_label': '57.d', 'twisting_char_orbit': 4, 'weight': 1}
  • id: 538656
    {'conductor': 95, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '855.1.g.b', 'source_level': 855, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '855.1.g.b', 'target_level': 855, 'twist_class_label': '855.1.g.b', 'twist_class_level': 855, 'twisting_char_label': '95.d', 'twisting_char_orbit': 4, 'weight': 1}
  • id: 538657
    {'conductor': 285, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 285, 'source_char_orbit': 7, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '855.1.g.b', 'source_level': 855, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '855.1.g.b', 'target_level': 855, 'twist_class_label': '855.1.g.b', 'twist_class_level': 855, 'twisting_char_label': '285.b', 'twisting_char_orbit': 2, 'weight': 1}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1414300
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 2}
  • id: 1414301
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 3}
  • id: 1414302
    {'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 4504011961008983, 'p': 5}
  • id: 1414303
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 7}
  • id: 1414304
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 11}
  • id: 1414305
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 13}
  • id: 1414306
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 4504011961008983, 'p': 17}
  • id: 1414307
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 19}
  • id: 1414308
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 4504011961008983, 'p': 23}
  • id: 1414309
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 29}
  • id: 1414310
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 31}
  • id: 1414311
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 37}
  • id: 1414312
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 41}
  • id: 1414313
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 43}
  • id: 1414314
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 4504011961008983, 'p': 47}
  • id: 1414315
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 53}
  • id: 1414316
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 59}
  • id: 1414317
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 61}
  • id: 1414318
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 67}
  • id: 1414319
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 71}
  • id: 1414320
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 73}
  • id: 1414321
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 79}
  • id: 1414322
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 4504011961008983, 'p': 83}
  • id: 1414323
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, 'p': 89}
  • id: 1414324
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504011961008983, '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': 7, 'hecke_orbit': 2, 'label': '855.1.g.b', 'level': 855, '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: 22649797
    {'hecke_orbit_code': 4504011961008983, 'n': 1, 'trace_an': 2}
  • id: 22649798
    {'hecke_orbit_code': 4504011961008983, 'n': 2, 'trace_an': 0}
  • id: 22649799
    {'hecke_orbit_code': 4504011961008983, 'n': 3, 'trace_an': 0}
  • id: 22649800
    {'hecke_orbit_code': 4504011961008983, 'n': 4, 'trace_an': -2}
  • id: 22649801
    {'hecke_orbit_code': 4504011961008983, 'n': 5, 'trace_an': 0}
  • id: 22649802
    {'hecke_orbit_code': 4504011961008983, 'n': 6, 'trace_an': 0}
  • id: 22649803
    {'hecke_orbit_code': 4504011961008983, 'n': 7, 'trace_an': 0}
  • id: 22649804
    {'hecke_orbit_code': 4504011961008983, 'n': 8, 'trace_an': 0}
  • id: 22649805
    {'hecke_orbit_code': 4504011961008983, 'n': 9, 'trace_an': 0}
  • id: 22649806
    {'hecke_orbit_code': 4504011961008983, 'n': 10, 'trace_an': 0}
  • id: 22649807
    {'hecke_orbit_code': 4504011961008983, 'n': 11, 'trace_an': 0}
  • id: 22649808
    {'hecke_orbit_code': 4504011961008983, 'n': 12, 'trace_an': 0}
  • id: 22649809
    {'hecke_orbit_code': 4504011961008983, 'n': 13, 'trace_an': 0}
  • id: 22649810
    {'hecke_orbit_code': 4504011961008983, 'n': 14, 'trace_an': 0}
  • id: 22649811
    {'hecke_orbit_code': 4504011961008983, 'n': 15, 'trace_an': 0}
  • id: 22649812
    {'hecke_orbit_code': 4504011961008983, 'n': 16, 'trace_an': 2}
  • id: 22649813
    {'hecke_orbit_code': 4504011961008983, 'n': 17, 'trace_an': 0}
  • id: 22649814
    {'hecke_orbit_code': 4504011961008983, 'n': 18, 'trace_an': 0}
  • id: 22649815
    {'hecke_orbit_code': 4504011961008983, 'n': 19, 'trace_an': -2}
  • id: 22649816
    {'hecke_orbit_code': 4504011961008983, 'n': 20, 'trace_an': 0}
  • id: 22649817
    {'hecke_orbit_code': 4504011961008983, 'n': 21, 'trace_an': 0}
  • id: 22649818
    {'hecke_orbit_code': 4504011961008983, 'n': 22, 'trace_an': 0}
  • id: 22649819
    {'hecke_orbit_code': 4504011961008983, 'n': 23, 'trace_an': 0}
  • id: 22649820
    {'hecke_orbit_code': 4504011961008983, 'n': 24, 'trace_an': 0}
  • id: 22649821
    {'hecke_orbit_code': 4504011961008983, 'n': 25, 'trace_an': -2}
  • id: 22649822
    {'hecke_orbit_code': 4504011961008983, 'n': 26, 'trace_an': 0}
  • id: 22649823
    {'hecke_orbit_code': 4504011961008983, 'n': 27, 'trace_an': 0}
  • id: 22649824
    {'hecke_orbit_code': 4504011961008983, 'n': 28, 'trace_an': 0}
  • id: 22649825
    {'hecke_orbit_code': 4504011961008983, 'n': 29, 'trace_an': 0}
  • id: 22649826
    {'hecke_orbit_code': 4504011961008983, 'n': 30, 'trace_an': 0}
  • id: 22649827
    {'hecke_orbit_code': 4504011961008983, 'n': 31, 'trace_an': 0}
  • id: 22649828
    {'hecke_orbit_code': 4504011961008983, 'n': 32, 'trace_an': 0}
  • id: 22649829
    {'hecke_orbit_code': 4504011961008983, 'n': 33, 'trace_an': 0}
  • id: 22649830
    {'hecke_orbit_code': 4504011961008983, 'n': 34, 'trace_an': 0}
  • id: 22649831
    {'hecke_orbit_code': 4504011961008983, 'n': 35, 'trace_an': 0}
  • id: 22649832
    {'hecke_orbit_code': 4504011961008983, 'n': 36, 'trace_an': 0}
  • id: 22649833
    {'hecke_orbit_code': 4504011961008983, 'n': 37, 'trace_an': 0}
  • id: 22649834
    {'hecke_orbit_code': 4504011961008983, 'n': 38, 'trace_an': 0}
  • id: 22649835
    {'hecke_orbit_code': 4504011961008983, 'n': 39, 'trace_an': 0}
  • id: 22649836
    {'hecke_orbit_code': 4504011961008983, 'n': 40, 'trace_an': 0}
  • id: 22649837
    {'hecke_orbit_code': 4504011961008983, 'n': 41, 'trace_an': 0}
  • id: 22649838
    {'hecke_orbit_code': 4504011961008983, 'n': 42, 'trace_an': 0}
  • id: 22649839
    {'hecke_orbit_code': 4504011961008983, 'n': 43, 'trace_an': 0}
  • id: 22649840
    {'hecke_orbit_code': 4504011961008983, 'n': 44, 'trace_an': 0}
  • id: 22649841
    {'hecke_orbit_code': 4504011961008983, 'n': 45, 'trace_an': 0}
  • id: 22649842
    {'hecke_orbit_code': 4504011961008983, 'n': 46, 'trace_an': 0}
  • id: 22649843
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  • id: 22649845
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  • id: 22649857
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  • id: 22649860
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  • id: 22649908
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  • id: 22649914
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  • id: 22649915
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  • id: 22649916
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  • id: 22649918
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  • id: 22649919
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  • id: 22649921
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  • id: 22649927
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  • id: 22649939
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  • id: 22649940
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  • id: 22649946
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  • id: 22649948
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  • id: 22649949
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  • id: 22649999
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  • id: 22650000
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  • id: 22650009
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  • id: 22650010
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  • id: 22650047
    {'hecke_orbit_code': 4504011961008983, 'n': 953, 'trace_an': 0}
  • id: 22650048
    {'hecke_orbit_code': 4504011961008983, 'n': 961, 'trace_an': 2}
  • id: 22650049
    {'hecke_orbit_code': 4504011961008983, 'n': 967, 'trace_an': 0}
  • id: 22650050
    {'hecke_orbit_code': 4504011961008983, 'n': 971, 'trace_an': 0}
  • id: 22650051
    {'hecke_orbit_code': 4504011961008983, 'n': 977, 'trace_an': 0}
  • id: 22650052
    {'hecke_orbit_code': 4504011961008983, 'n': 983, 'trace_an': 0}
  • id: 22650053
    {'hecke_orbit_code': 4504011961008983, 'n': 991, 'trace_an': 0}
  • id: 22650054
    {'hecke_orbit_code': 4504011961008983, 'n': 997, 'trace_an': 0}