Newform data - 2856.1.bd.i

Formats: - HTML - YAML - JSON - 2025-09-24T13:11:52.561166

• 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': 2856, 'analytic_conductor': 1.4253296760798548, 'analytic_rank': 0, 'analytic_rank_proved': True, 'artin_degree': 16, 'artin_field': [344, 296, 62, 46, 23, 3, 0, -1, 1], 'artin_field_label': '8.0.115507538496.3', 'artin_image': '16.13', 'char_conductor': 2856, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 30, 'char_orbit_label': 'bd', 'char_order': 2, 'char_parity': -1, 'char_values': [2856, 2, [2143, 1429, 953, 409, 2689], [1, 1, 1, 1, 1]], 'cm_discs': [-119, -168], 'conrey_index': 1427, 'dim': 2, 'embedded_related_objects': [['ArtinRepresentation/2.2e3_3_7_17.8t11.6c1'], ['ArtinRepresentation/2.2e3_3_7_17.8t11.6c2']], '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': [[5, [0, 1]], [11, [0, 1]], [37, [0, 1]], [53, [-2, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36030789900569384, 'hecke_ring_generator_nbound': 3, '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, 119, 4, -1, 2, -119], [1, 1, 168, 5, -1, 2, -168], [1, 1, 408, 8, 1, 2, 408], [1, 1, 7, 2, -1, 2, 0], [1, 1, 17, 2, 1, 2, 0], [1, 1, 24, 6, 1, 2, 0], [1, 1, 2856, 30, -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': '2856.1.bd.i', 'level': 2856, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 17], 'level_radical': 714, 'minimal_twist': '2856.1.bd.i', 'nf_label': '2.0.4.1', 'prim_orbit_index': 30, 'projective_field': [1296, 0, -30, 0, 1], 'projective_field_label': '4.0.8156736.9', 'projective_image': 'D2', 'projective_image_type': 'Dn', 'qexp_display': 'q-q^{2}-i q^{3}+q^{4}+i q^{6}+i q^{7}+\\cdots', 'related_objects': ['ArtinRepresentation/2.2e3_3_7_17.8t11.6'], 'relative_dim': 2, 'rm_discs': [408], 'self_twist_discs': [-119, -168, 408], 'self_twist_type': 3, 'space_label': '2856.1.bd', 'trace_display': [-2, 0, 0, 0], 'trace_hash': 2251507925723440615, 'trace_moments': [{'__RealLiteral__': 0, 'data': '-0.002', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1.809', 'prec': 17}, {'__RealLiteral__': 0, 'data': '-0.008', 'prec': 20}, {'__RealLiteral__': 0, 'data': '28.903', 'prec': 20}, {'__RealLiteral__': 0, 'data': '-0.031', 'prec': 20}, {'__RealLiteral__': 0, 'data': '462.257', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.886', 'prec': 17}, 'traces': [2, -2, 0, 2, 0, 0, 0, -2, -2, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, 2, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, -2, 0, 0, 0, 0, 0, -2, 4, 0, 0, 0, 0, 0, -2, 2, -2, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 4, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, -4, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 2, 0, -2, 0, 2, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, -2, 0, -4, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -2, -2, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 4, 0, 0, -2, 0, 4, 0, 0, 0, 0, -2, 0, 0, 0, 2, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, -4, 0, 0, 2, 0, 0, 0, 4, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 2, -2, 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, 2, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 2, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 2, 0, 0, 0, -4, 0, 0, 0, 0, -4, 0, 4, 0, 0, 2, 4, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 4, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, -4, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, -4, 4, 0, 0, 0, 0, 0, -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, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 4, -4, 0, 2, 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, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, -2, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 4, 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, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, -2, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 4, 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, -4, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, -2, 0, 0, -4, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, -4, 0, 0, 0, 0, 0, -2, 0, -4, 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, -2, 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, 4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, -4, -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, -2, 0, 4, 0, -4, 0, 0, 0, 0, -6, 0, 0, 0, 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, 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, 0, 0, -2, 0, 0, 0, -4, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, -4, 0, 4, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 4, 0, 0, -4, 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, -4, 0, -4, 0, 0, 0, 4, 0, 0, 0, 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, 0, 0, 0, 0, 4, 0, 0, 0, 2, 0, 0, 0, -2, 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, 4, 4, 0, -4, 0, 0, 0, -4, 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, 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, -2, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, -8, 0, 0, 0, 2, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, -4, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 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0, 0, 0, 0, -4, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, -4, 0, 0, -4, 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, 2, 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, -2, 4, 0, 0, 0, 0, -4, 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, 4, 0, 2, 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, 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, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, -4, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 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, 0, -4, 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, 4, 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, 0]], [[-1, 1]], [[1, 0]], [], [[1, 1]], [[1, 1]], [[-1, 0]], [[-1, 0]], [], [], [[-1, 1]], [], [[-1, 1]], [], [[1, 0]], [[-1, 1]], [[1, 0]], [], [], [[1, 0]], [], [], [[1, 1]], [[-1, 0]], [], [[1, 1]], [[1, 1]], [], [], [[-1, 1], [-1, 1]], [[-1, 0]], [], [[1, 1]], [], [[-1, 0]], [], [], [], [], [[-1, 1], [-1, 1]], [[-1, 0]], [[1, 0], [1, 0]], [], [], [], [], [[-1, 1]], [[-1, 0]], [[1, 0]], [[-1, 0]], [], [[1, 0], [1, 0]], [[-1, 1]], [], [[-1, 1]], [], [], [], [], [[-1, 1], [-1, 1]], [[2, 1]], [[-1, 1]], [[1, 0]], [], [], [[1, 0], [1, 0]], [[-1, 1]], [], [], [], [[1, 0]], [], [], [[1, 1]], [], [], [], [], [], [[1, 0]], [[2, 1]], [], [[1, 0]], [], [[-2, 0]], [], [], [], [], [], [], [[-2, 0]], [], [], [[1, 1]], [], [[1, 0]], [], [[-1, 0]]], 'ap': [[[-1, 0]], [[-1, 1]], [], [[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, 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]], [], [], [], [[-1, 0], [-1, 0]], [], [], [], [], [], [], [], [], [], [], [[-1, 0], [-1, 0]], [], [], [], [], [[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, 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, 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, 1], [-1, 1]], [[1, 1], [1, 1]], [[1, 0], [1, 0]], [[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, 0], [-1, 0]], [], [], [], [], [], [], [[1, 0], [1, 0]], [], [], [], [], [], [], [[-1, 0], [-1, 0]], [], [], [], [], [], [[1, 1], [1, 1]], [], [[1, 1], [1, 1]], [], [], [], [], [[1, 1], [1, 1]], [], [], [[1, 0], [1, 0]], []], 'char_orbit_index': 30, 'field_poly': [1, 0, 1], 'hecke_orbit_code': 36030789900569384, 'hecke_ring_character_values': [[2143, [[-1, 0]]], [1429, [[-1, 0]]], [953, [[-1, 0]]], [409, [[-1, 0]]], [2689, [[-1, 0]]]], 'hecke_ring_cyclotomic_generator': 4, 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '2856.1.bd.i', 'level': 2856, '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': 2856, 'a4_dim': 0, 'a5_dim': 0, 'analytic_conductor': 1.4253296760798548, 'char_conductor': 2856, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 30, 'char_orbit_label': 'bd', 'char_order': 2, 'char_parity': -1, 'char_values': [2856, 2, [2143, 1429, 953, 409, 2689], [1, 1, 1, 1, 1]], 'conrey_index': 1427, 'cusp_dim': 28, 'dihedral_dim': 28, 'dim': 28, 'eis_dim': 8, 'eis_new_dim': 8, 'hecke_orbit_code': 1992881605416, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 8, 8], 'label': '2856.1.bd', 'level': 2856, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 17], 'level_radical': 714, 'mf_dim': 36, 'mf_new_dim': 36, 'num_forms': 12, 'prim_orbit_index': 30, 'relative_dim': 28, 's4_dim': 0, 'sturm_bound': 576, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [28, 0, 0, 8, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -10, -8, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 8, 0, 0, -8, 0, 0, 0, 0, -10, 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, 10, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, -20, 0, -20, 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, -8, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, -20, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 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, 12, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 8, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 2, 0, 0, -8, -20, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, -8, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, -10, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, -8, 0, 0, 0, 0, 0, 0, 0, -10, 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, 12, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 28, 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, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 8, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, -10, 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, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, -8, 0, 0, 16, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 8, -12, 0, -10, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 16, 0, 0, 0, 0, 0, 8, 0, -20, 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, 8, 0, -10, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 8, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, -16, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 16, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -10, -12, 0, 0, 0, 0, 0, 0, 0, 0, -12, 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, 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: 1008530
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 30, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '2856.1.bd.i', 'source_level': 2856, 'target_char_orbit': 30, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '2856.1.bd.i', 'target_level': 2856, 'twist_class_label': '2856.1.bd.i', 'twist_class_level': 2856, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 1}
  • id: 1008531
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 30, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '2856.1.bd.i', 'source_level': 2856, 'target_char_orbit': 30, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '2856.1.bd.i', 'target_level': 2856, 'twist_class_label': '2856.1.bd.i', 'twist_class_level': 2856, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 1008532
    {'conductor': 17, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 30, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '2856.1.bd.i', 'source_level': 2856, 'target_char_orbit': 30, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '2856.1.bd.i', 'target_level': 2856, 'twist_class_label': '2856.1.bd.i', 'twist_class_level': 2856, 'twisting_char_label': '17.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 1008533
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 30, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '2856.1.bd.i', 'source_level': 2856, 'target_char_orbit': 30, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '2856.1.bd.i', 'target_level': 2856, 'twist_class_label': '2856.1.bd.i', 'twist_class_level': 2856, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 1}
  • id: 1008534
    {'conductor': 119, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -119, 'source_char_orbit': 30, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '2856.1.bd.i', 'source_level': 2856, 'target_char_orbit': 30, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '2856.1.bd.i', 'target_level': 2856, 'twist_class_label': '2856.1.bd.i', 'twist_class_level': 2856, 'twisting_char_label': '119.d', 'twisting_char_orbit': 4, 'weight': 1}
  • id: 1008535
    {'conductor': 168, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -168, 'source_char_orbit': 30, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '2856.1.bd.i', 'source_level': 2856, 'target_char_orbit': 30, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '2856.1.bd.i', 'target_level': 2856, 'twist_class_label': '2856.1.bd.i', 'twist_class_level': 2856, 'twisting_char_label': '168.e', 'twisting_char_orbit': 5, 'weight': 1}
  • id: 1008536
    {'conductor': 408, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 408, 'source_char_orbit': 30, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '2856.1.bd.i', 'source_level': 2856, 'target_char_orbit': 30, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '2856.1.bd.i', 'target_level': 2856, 'twist_class_label': '2856.1.bd.i', 'twist_class_level': 2856, 'twisting_char_label': '408.h', 'twisting_char_orbit': 8, 'weight': 1}
  • id: 1008537
    {'conductor': 2856, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 30, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '2856.1.bd.i', 'source_level': 2856, 'target_char_orbit': 30, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '2856.1.bd.i', 'target_level': 2856, 'twist_class_label': '2856.1.bd.i', 'twist_class_level': 2856, 'twisting_char_label': '2856.bd', 'twisting_char_orbit': 30, 'weight': 1}
  • id: 1008538
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 30, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '2856.1.bd.i', 'source_level': 2856, 'target_char_orbit': 30, 'target_dim': 2, 'target_hecke_orbit': 10, 'target_is_minimal': True, 'target_label': '2856.1.bd.j', 'target_level': 2856, 'twist_class_label': '2856.1.bd.i', 'twist_class_level': 2856, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 1008539
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 30, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '2856.1.bd.i', 'source_level': 2856, 'target_char_orbit': 30, 'target_dim': 2, 'target_hecke_orbit': 10, 'target_is_minimal': True, 'target_label': '2856.1.bd.j', 'target_level': 2856, 'twist_class_label': '2856.1.bd.i', 'twist_class_level': 2856, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 1}
  • id: 1008540
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 30, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '2856.1.bd.i', 'source_level': 2856, 'target_char_orbit': 30, 'target_dim': 2, 'target_hecke_orbit': 10, 'target_is_minimal': True, 'target_label': '2856.1.bd.j', 'target_level': 2856, 'twist_class_label': '2856.1.bd.i', 'twist_class_level': 2856, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 1}
  • id: 1008541
    {'conductor': 51, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 30, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '2856.1.bd.i', 'source_level': 2856, 'target_char_orbit': 30, 'target_dim': 2, 'target_hecke_orbit': 10, 'target_is_minimal': True, 'target_label': '2856.1.bd.j', 'target_level': 2856, 'twist_class_label': '2856.1.bd.i', 'twist_class_level': 2856, 'twisting_char_label': '51.c', 'twisting_char_orbit': 3, 'weight': 1}
  • id: 1008542
    {'conductor': 56, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 30, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '2856.1.bd.i', 'source_level': 2856, 'target_char_orbit': 30, 'target_dim': 2, 'target_hecke_orbit': 10, 'target_is_minimal': True, 'target_label': '2856.1.bd.j', 'target_level': 2856, 'twist_class_label': '2856.1.bd.i', 'twist_class_level': 2856, 'twisting_char_label': '56.e', 'twisting_char_orbit': 5, 'weight': 1}
  • id: 1008543
    {'conductor': 136, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 30, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '2856.1.bd.i', 'source_level': 2856, 'target_char_orbit': 30, 'target_dim': 2, 'target_hecke_orbit': 10, 'target_is_minimal': True, 'target_label': '2856.1.bd.j', 'target_level': 2856, 'twist_class_label': '2856.1.bd.i', 'twist_class_level': 2856, 'twisting_char_label': '136.e', 'twisting_char_orbit': 5, 'weight': 1}
  • id: 1008544
    {'conductor': 357, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 30, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '2856.1.bd.i', 'source_level': 2856, 'target_char_orbit': 30, 'target_dim': 2, 'target_hecke_orbit': 10, 'target_is_minimal': True, 'target_label': '2856.1.bd.j', 'target_level': 2856, 'twist_class_label': '2856.1.bd.i', 'twist_class_level': 2856, 'twisting_char_label': '357.c', 'twisting_char_orbit': 3, 'weight': 1}
  • id: 1008545
    {'conductor': 952, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 30, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '2856.1.bd.i', 'source_level': 2856, 'target_char_orbit': 30, 'target_dim': 2, 'target_hecke_orbit': 10, 'target_is_minimal': True, 'target_label': '2856.1.bd.j', 'target_level': 2856, 'twist_class_label': '2856.1.bd.i', 'twist_class_level': 2856, 'twisting_char_label': '952.k', 'twisting_char_orbit': 11, 'weight': 1}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2883000
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 2}
  • id: 2883001
    {'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 36030789900569384, 'p': 3}
  • id: 2883002
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 5}
  • id: 2883003
    {'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 36030789900569384, 'p': 7}
  • id: 2883004
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 11}
  • id: 2883005
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 13}
  • id: 2883006
    {'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 36030789900569384, 'p': 17}
  • id: 2883007
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 19}
  • id: 2883008
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 23}
  • id: 2883009
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 29}
  • id: 2883010
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 36030789900569384, 'p': 31}
  • id: 2883011
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 37}
  • id: 2883012
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 36030789900569384, 'p': 41}
  • id: 2883013
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 43}
  • id: 2883014
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 47}
  • id: 2883015
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 53}
  • id: 2883016
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 59}
  • id: 2883017
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 36030789900569384, 'p': 61}
  • id: 2883018
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 67}
  • id: 2883019
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 71}
  • id: 2883020
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 73}
  • id: 2883021
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 79}
  • id: 2883022
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 83}
  • id: 2883023
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36030789900569384, 'p': 89}
  • id: 2883024
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36030789900569384, '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': 30, 'hecke_orbit': 9, 'label': '2856.1.bd.i', 'level': 2856, 'portrait': 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', 'weight': 1}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 52288579
    {'hecke_orbit_code': 36030789900569384, 'n': 1, 'trace_an': 2}
  • id: 52288580
    {'hecke_orbit_code': 36030789900569384, 'n': 2, 'trace_an': -2}
  • id: 52288581
    {'hecke_orbit_code': 36030789900569384, 'n': 3, 'trace_an': 0}
  • id: 52288582
    {'hecke_orbit_code': 36030789900569384, 'n': 4, 'trace_an': 2}
  • id: 52288583
    {'hecke_orbit_code': 36030789900569384, 'n': 5, 'trace_an': 0}
  • id: 52288584
    {'hecke_orbit_code': 36030789900569384, 'n': 6, 'trace_an': 0}
  • id: 52288585
    {'hecke_orbit_code': 36030789900569384, 'n': 7, 'trace_an': 0}
  • id: 52288586
    {'hecke_orbit_code': 36030789900569384, 'n': 8, 'trace_an': -2}
  • id: 52288587
    {'hecke_orbit_code': 36030789900569384, 'n': 9, 'trace_an': -2}
  • id: 52288588
    {'hecke_orbit_code': 36030789900569384, 'n': 10, 'trace_an': 0}
  • id: 52288589
    {'hecke_orbit_code': 36030789900569384, 'n': 11, 'trace_an': 0}
  • id: 52288590
    {'hecke_orbit_code': 36030789900569384, 'n': 12, 'trace_an': 0}
  • id: 52288591
    {'hecke_orbit_code': 36030789900569384, 'n': 13, 'trace_an': 0}
  • id: 52288592
    {'hecke_orbit_code': 36030789900569384, 'n': 14, 'trace_an': 0}
  • id: 52288593
    {'hecke_orbit_code': 36030789900569384, 'n': 15, 'trace_an': 0}
  • id: 52288594
    {'hecke_orbit_code': 36030789900569384, 'n': 16, 'trace_an': 2}
  • id: 52288595
    {'hecke_orbit_code': 36030789900569384, 'n': 17, 'trace_an': 0}
  • id: 52288596
    {'hecke_orbit_code': 36030789900569384, 'n': 18, 'trace_an': 2}
  • id: 52288597
    {'hecke_orbit_code': 36030789900569384, 'n': 19, 'trace_an': 0}
  • id: 52288598
    {'hecke_orbit_code': 36030789900569384, 'n': 20, 'trace_an': 0}
  • id: 52288599
    {'hecke_orbit_code': 36030789900569384, 'n': 21, 'trace_an': 2}
  • id: 52288600
    {'hecke_orbit_code': 36030789900569384, 'n': 22, 'trace_an': 0}
  • id: 52288601
    {'hecke_orbit_code': 36030789900569384, 'n': 23, 'trace_an': 0}
  • id: 52288602
    {'hecke_orbit_code': 36030789900569384, 'n': 24, 'trace_an': 0}
  • id: 52288603
    {'hecke_orbit_code': 36030789900569384, 'n': 25, 'trace_an': -2}
  • id: 52288604
    {'hecke_orbit_code': 36030789900569384, 'n': 26, 'trace_an': 0}
  • id: 52288605
    {'hecke_orbit_code': 36030789900569384, 'n': 27, 'trace_an': 0}
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  • id: 52288716
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  • id: 52288721
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  • id: 52288722
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    {'hecke_orbit_code': 36030789900569384, 'n': 811, 'trace_an': 0}
  • id: 52288808
    {'hecke_orbit_code': 36030789900569384, 'n': 821, 'trace_an': 0}
  • id: 52288809
    {'hecke_orbit_code': 36030789900569384, 'n': 823, 'trace_an': 0}
  • id: 52288810
    {'hecke_orbit_code': 36030789900569384, 'n': 827, 'trace_an': 0}
  • id: 52288811
    {'hecke_orbit_code': 36030789900569384, 'n': 829, 'trace_an': 0}
  • id: 52288812
    {'hecke_orbit_code': 36030789900569384, 'n': 839, 'trace_an': 0}
  • id: 52288813
    {'hecke_orbit_code': 36030789900569384, 'n': 841, 'trace_an': 2}
  • id: 52288814
    {'hecke_orbit_code': 36030789900569384, 'n': 853, 'trace_an': 0}
  • id: 52288815
    {'hecke_orbit_code': 36030789900569384, 'n': 857, 'trace_an': 0}
  • id: 52288816
    {'hecke_orbit_code': 36030789900569384, 'n': 859, 'trace_an': 0}
  • id: 52288817
    {'hecke_orbit_code': 36030789900569384, 'n': 863, 'trace_an': 4}
  • id: 52288818
    {'hecke_orbit_code': 36030789900569384, 'n': 877, 'trace_an': 0}
  • id: 52288819
    {'hecke_orbit_code': 36030789900569384, 'n': 881, 'trace_an': 0}
  • id: 52288820
    {'hecke_orbit_code': 36030789900569384, 'n': 883, 'trace_an': 4}
  • id: 52288821
    {'hecke_orbit_code': 36030789900569384, 'n': 887, 'trace_an': 0}
  • id: 52288822
    {'hecke_orbit_code': 36030789900569384, 'n': 907, 'trace_an': 0}
  • id: 52288823
    {'hecke_orbit_code': 36030789900569384, 'n': 911, 'trace_an': 0}
  • id: 52288824
    {'hecke_orbit_code': 36030789900569384, 'n': 919, 'trace_an': 0}
  • id: 52288825
    {'hecke_orbit_code': 36030789900569384, 'n': 929, 'trace_an': 0}
  • id: 52288826
    {'hecke_orbit_code': 36030789900569384, 'n': 937, 'trace_an': 0}
  • id: 52288827
    {'hecke_orbit_code': 36030789900569384, 'n': 941, 'trace_an': 0}
  • id: 52288828
    {'hecke_orbit_code': 36030789900569384, 'n': 947, 'trace_an': 0}
  • id: 52288829
    {'hecke_orbit_code': 36030789900569384, 'n': 953, 'trace_an': 0}
  • id: 52288830
    {'hecke_orbit_code': 36030789900569384, 'n': 961, 'trace_an': -6}
  • id: 52288831
    {'hecke_orbit_code': 36030789900569384, 'n': 967, 'trace_an': 0}
  • id: 52288832
    {'hecke_orbit_code': 36030789900569384, 'n': 971, 'trace_an': 0}
  • id: 52288833
    {'hecke_orbit_code': 36030789900569384, 'n': 977, 'trace_an': 0}
  • id: 52288834
    {'hecke_orbit_code': 36030789900569384, 'n': 983, 'trace_an': 0}
  • id: 52288835
    {'hecke_orbit_code': 36030789900569384, 'n': 991, 'trace_an': 0}
  • id: 52288836
    {'hecke_orbit_code': 36030789900569384, 'n': 997, 'trace_an': 0}