Newform data - 9216.2.a.bt

Formats: - HTML - YAML - JSON - 2024-04-25T17:04:34.397004

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  conrey_indexes	integer[]
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 36864, 'analytic_conductor': 73.590130502812, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 1]], 'atkin_lehner_string': '-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [9216, 1, [8191, 2053, 4097], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 8, 'field_disc': 10070523904, 'field_disc_factorization': [[2, 22], [7, 4]], 'field_poly': [2, 0, -20, -16, 30, 24, -8, -4, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [8, 0, -12, 0, 1]], [7, [-6, -2, 1]], [11, [32, 0, -24, 0, 1]], [13, [-14, 0, 1]], [17, [288, 0, -40, 0, 1]], [19, [144, 0, -32, 0, 1]], [67, [-32, 0, 1]]], 'hecke_orbit': 46, 'hecke_orbit_code': 202661983265235968, 'hecke_ring_generator_nbound': 17, 'hecke_ring_index': 64, 'hecke_ring_index_factorization': [[2, 6]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 24, 8, -1, 2, 0], [1, 1, 8, 2, 1, 2, 0], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '9216.2.a.bt', 'level': 9216, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '144.2.k.c', 'nf_label': '8.8.10070523904.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{5}q^{5}+(1-\\beta _{6})q^{7}+(-\\beta _{2}-\\beta _{5}+\\cdots)q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '9216.2.a', 'trace_display': [0, 0, 0, 8], 'trace_hash': 2149800626151529302, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.037', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.071', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.832', 'prec': 17}, {'__RealLiteral__': 0, 'data': '516.887', 'prec': 24}, {'__RealLiteral__': 0, 'data': '170.442', 'prec': 24}, {'__RealLiteral__': 0, 'data': '51745.478', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.759', 'prec': 17}, 'traces': [8, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 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0, 0, 0, 0, 0, 0, 0, 0, -440, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 544], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
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[-2, 0, 0, 0, 0, 0, 18, 0], [0, -1, 0, 6, 0, 0, 0, 0], [0, 0, 0, 0, 6, 0, 0, -12], [0, 0, 0, 0, 8, 0, 0, 4], [0, 0, -8, 0, 0, -23, 0, 0], [5, 0, 0, 0, 0, 0, -9, 0], [0, 11, 0, -12, 0, 0, 0, 0], [-42, 0, 0, 0, 0, 0, 2, 0], [0, 0, 3, 0, 0, 11, 0, 0], [0, 0, 6, 0, 0, 11, 0, 0], [-31, 0, 0, 0, 0, 0, -1, 0], [0, 0, 9, 0, 0, 1, 0, 0], [0, 0, 0, 0, 8, 0, 0, 8], [0, 7, 0, -27, 0, 0, 0, 0], [36, 0, 0, 0, 0, 0, 10, 0], [0, 0, -4, 0, 0, -11, 0, 0], [-5, 0, 0, 0, 0, 0, -7, 0], [0, 0, 6, 0, 0, 10, 0, 0], [0, 0, 0, 0, -10, 0, 0, -2], [-16, 0, 0, 0, 0, 0, 4, 0], [-5, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, -6, 0, 0, -5], [0, 0, 0, 0, 1, 0, 0, -9], [0, 0, -8, 0, 0, -7, 0, 0], [0, -1, 0, -32, 0, 0, 0, 0], [15, 0, 0, 0, 0, 0, 9, 0], [0, 0, 0, 0, 12, 0, 0, 9], [-37, 0, 0, 0, 0, 0, -3, 0], [0, 0, 3, 0, 0, 11, 0, 0], [0, 1, 0, 8, 0, 0, 0, 0], [0, 0, 0, 0, 4, 0, 0, 8], [0, 0, 0, 0, -6, 0, 0, 6], [-27, 0, 0, 0, 0, 0, 3, 0], [0, 0, -14, 0, 0, 2, 0, 0], [0, 3, 0, 8, 0, 0, 0, 0], [0, -5, 0, 17, 0, 0, 0, 0], [-1, 0, 0, 0, 0, 0, 5, 0], [0, 0, 0, 0, 2, 0, 0, -8], [0, 7, 0, -3, 0, 0, 0, 0], [0, 0, 0, 0, 6, 0, 0, 6], [-24, 0, 0, 0, 0, 0, 4, 0], [0, 0, -4, 0, 0, 13, 0, 0], [0, 0, 7, 0, 0, 7, 0, 0], [0, 0, 0, 0, -13, 0, 0, -11], [0, 0, -11, 0, 0, 5, 0, 0], [0, -4, 0, 0, 0, 0, 0, 0], [7, 0, 0, 0, 0, 0, 5, 0], [0, 3, 0, -28, 0, 0, 0, 0], [0, 0, 0, 0, -12, 0, 0, 4], [0, 0, 0, 0, 4, 0, 0, -8], [-59, 0, 0, 0, 0, 0, 3, 0], [0, 0, 12, 0, 0, 16, 0, 0], [0, -4, 0, -32, 0, 0, 0, 0], [0, 0, 0, 0, -6, 0, 0, -10], [0, -11, 0, 20, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 4], [0, 0, 0, 0, 11, 0, 0, 5], [26, 0, 0, 0, 0, 0, 4, 0], [0, 0, 6, 0, 0, 13, 0, 0], [0, 0, 14, 0, 0, 26, 0, 0], [0, -3, 0, -8, 0, 0, 0, 0], [0, 4, 0, -4, 0, 0, 0, 0], [0, 0, 2, 0, 0, -1, 0, 0], [44, 0, 0, 0, 0, 0, -8, 0], [13, 0, 0, 0, 0, 0, -9, 0], [0, 0, 10, 0, 0, -2, 0, 0], [0, 1, 0, 36, 0, 0, 0, 0], [0, -9, 0, -8, 0, 0, 0, 0], [0, 0, 0, 0, -6, 0, 0, 9], [0, -4, 0, 40, 0, 0, 0, 0], [0, 0, 20, 0, 0, -5, 0, 0], [0, 0, 0, 0, -8, 0, 0, 8], [0, -1, 0, -51, 0, 0, 0, 0], [0, 0, 16, 0, 0, 17, 0, 0], [0, 7, 0, -6, 0, 0, 0, 0], [0, 4, 0, -28, 0, 0, 0, 0], [-26, 0, 0, 0, 0, 0, -4, 0], [9, 0, 0, 0, 0, 0, -5, 0], [-14, 0, 0, 0, 0, 0, -24, 0], [-49, 0, 0, 0, 0, 0, 1, 0], [0, 0, 3, 0, 0, 19, 0, 0], [0, -3, 0, 16, 0, 0, 0, 0], [-50, 0, 0, 0, 0, 0, 2, 0], [0, 0, -10, 0, 0, 2, 0, 0], [0, 0, 0, 0, 6, 0, 0, -6], [11, 0, 0, 0, 0, 0, -23, 0], [0, 0, 0, 0, -5, 0, 0, 5], [0, -19, 0, 4, 0, 0, 0, 0], [0, -9, 0, -19, 0, 0, 0, 0], [0, 0, 0, 0, -6, 0, 0, -2], [-44, 0, 0, 0, 0, 0, -6, 0], [0, 0, -12, 0, 0, -5, 0, 0], [9, 0, 0, 0, 0, 0, -9, 0], [0, 0, 0, 0, -6, 0, 0, -12], [0, 0, 6, 0, 0, 7, 0, 0], [0, 0, 8, 0, 0, 20, 0, 0], [0, 0, 0, 0, -20, 0, 0, -4], [0, 0, 20, 0, 0, 8, 0, 0], [0, 5, 0, -26, 0, 0, 0, 0], [0, 0, 6, 0, 0, -13, 0, 0], [-21, 0, 0, 0, 0, 0, -11, 0], [0, 0, 12, 0, 0, -5, 0, 0], [0, 0, 13, 0, 0, -11, 0, 0], [0, -5, 0, -15, 0, 0, 0, 0], [60, 0, 0, 0, 0, 0, -6, 0], [0, 0, 6, 0, 0, -11, 0, 0], [-19, 0, 0, 0, 0, 0, 3, 0], [0, 0, -16, 0, 0, 8, 0, 0], [0, 9, 0, -29, 0, 0, 0, 0], [-36, 0, 0, 0, 0, 0, 2, 0], [0, 0, 17, 0, 0, -7, 0, 0], [0, -7, 0, -2, 0, 0, 0, 0], [0, 0, 0, 0, 10, 0, 0, 2], [0, 3, 0, 32, 0, 0, 0, 0], [0, 0, 0, 0, 3, 0, 0, 13], [0, 0, 12, 0, 0, 7, 0, 0], [0, 0, 0, 0, 0, 0, 0, 3], [0, 5, 0, 31, 0, 0, 0, 0], [0, 0, 0, 0, -10, 0, 0, -2], [6, 0, 0, 0, 0, 0, -12, 0], [0, 0, 12, 0, 0, -4, 0, 0], [0, 0, 0, 0, -12, 0, 0, -8], [-34, 0, 0, 0, 0, 0, -6, 0], [0, 0, 0, 0, -6, 0, 0, -8], [0, 4, 0, 32, 0, 0, 0, 0], [-4, 0, 0, 0, 0, 0, 10, 0], [0, 0, 14, 0, 0, 11, 0, 0], [-45, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, -4, 0, 0, 1], [4, 0, 0, 0, 0, 0, 24, 0], [0, 13, 0, 15, 0, 0, 0, 0], [0, 9, 0, -5, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 4], [0, 0, -10, 0, 0, -1, 0, 0], [0, -7, 0, 40, 0, 0, 0, 0], [0, 0, 4, 0, 0, -7, 0, 0], [25, 0, 0, 0, 0, 0, -9, 0], [0, 0, -16, 0, 0, 4, 0, 0], [0, -12, 0, -4, 0, 0, 0, 0], [0, 0, -23, 0, 0, 1, 0, 0], [0, 7, 0, -16, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [-10, 0, 0, 0, 0, 0, -14, 0], [-61, 0, 0, 0, 0, 0, -3, 0], [0, 15, 0, -20, 0, 0, 0, 0], [0, 0, 0, 0, 4, 0, 0, 5], [0, 0, -22, 0, 0, 11, 0, 0], [-19, 0, 0, 0, 0, 0, -5, 0], [0, 0, 2, 0, 0, -7, 0, 0], [0, 0, 1, 0, 0, 1, 0, 0], [0, -1, 0, -8, 0, 0, 0, 0], [0, -4, 0, -8, 0, 0, 0, 0], [0, 0, 0, 0, 18, 0, 0, 6], [0, 0, 2, 0, 0, 7, 0, 0], [0, -5, 0, 33, 0, 0, 0, 0], [28, 0, 0, 0, 0, 0, -16, 0], [0, 0, -10, 0, 0, 7, 0, 0], [9, 0, 0, 0, 0, 0, 23, 0], [0, 11, 0, -24, 0, 0, 0, 0], [0, 0, 0, 0, 10, 0, 0, 8], [0, 0, 0, 0, -9, 0, 0, -3], [0, 0, 12, 0, 0, 20, 0, 0], [0, 0, 0, 0, 0, 0, 0, 3], [0, 0, 0, 0, -8, 0, 0, -8], [0, 11, 0, 10, 0, 0, 0, 0], [0, 0, 0, 0, 2, 0, 0, 12], [0, 0, 0, 0, -21, 0, 0, -3], [0, 0, -15, 0, 0, -23, 0, 0], [0, -4, 0, -44, 0, 0, 0, 0], [18, 0, 0, 0, 0, 0, 6, 0], [0, 0, -20, 0, 0, -17, 0, 0], [-7, 0, 0, 0, 0, 0, -17, 0], [-64, 0, 0, 0, 0, 0, 4, 0], [0, 0, 1, 0, 0, -23, 0, 0], [0, 17, 0, -5, 0, 0, 0, 0], [0, 0, 0, 0, -12, 0, 0, 0], [0, 0, -6, 0, 0, -11, 0, 0], [23, 0, 0, 0, 0, 0, -11, 0], [0, -11, 0, 2, 0, 0, 0, 0], [0, 0, -11, 0, 0, -19, 0, 0], [0, 0, 0, 0, -9, 0, 0, -3], [18, 0, 0, 0, 0, 0, 20, 0], [0, 0, 0, 0, -6, 0, 0, -7], [-36, 0, 0, 0, 0, 0, -18, 0], [0, 0, 14, 0, 0, 5, 0, 0], [0, 0, 0, 0, -10, 0, 0, 3], [-75, 0, 0, 0, 0, 0, -9, 0], [0, 0, 0, 0, 12, 0, 0, -4], [0, -9, 0, 17, 0, 0, 0, 0], [0, 0, 0, 0, 11, 0, 0, 1], [-11, 0, 0, 0, 0, 0, -5, 0], [0, 3, 0, 46, 0, 0, 0, 0], [0, -20, 0, -4, 0, 0, 0, 0], [0, 0, 0, 0, -15, 0, 0, -13], [14, 0, 0, 0, 0, 0, -12, 0], [0, 0, -2, 0, 0, -19, 0, 0], [0, 0, 10, 0, 0, 26, 0, 0], [0, 9, 0, 7, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, -13], [48, 0, 0, 0, 0, 0, 12, 0], [29, 0, 0, 0, 0, 0, -25, 0], [0, 0, 0, 0, -4, 0, 0, -11], [0, 5, 0, -5, 0, 0, 0, 0], [0, 0, -2, 0, 0, -17, 0, 0], [0, -21, 0, 4, 0, 0, 0, 0], [0, 0, 0, 0, -18, 0, 0, -3], [-5, 0, 0, 0, 0, 0, -35, 0], [0, 0, 0, 0, -2, 0, 0, 5], [0, 0, -4, 0, 0, -7, 0, 0], [-19, 0, 0, 0, 0, 0, 7, 0], [0, 9, 0, 32, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -11], [0, 1, 0, 23, 0, 0, 0, 0], [0, 0, 13, 0, 0, -11, 0, 0], [34, 0, 0, 0, 0, 0, 6, 0], [0, 0, 12, 0, 0, 7, 0, 0], [0, 0, 9, 0, 0, 25, 0, 0], [0, 5, 0, 31, 0, 0, 0, 0], [-26, 0, 0, 0, 0, 0, 2, 0], [0, 0, -12, 0, 0, 7, 0, 0], [0, 0, 0, 0, -3, 0, 0, 11], [-39, 0, 0, 0, 0, 0, -9, 0], [0, 0, 0, 0, 18, 0, 0, 9], [0, 0, 0, 0, 22, 0, 0, 6], [0, 0, 4, 0, 0, -1, 0, 0], [0, -1, 0, 4, 0, 0, 0, 0], [0, 0, 0, 0, 6, 0, 0, 6], [0, 0, 7, 0, 0, 31, 0, 0], [-28, 0, 0, 0, 0, 0, 22, 0], [0, 0, 0, 0, 0, 7, 0, 0], [0, 0, -7, 0, 0, -7, 0, 0], [0, 0, 0, 0, -2, 0, 0, -4], [0, 7, 0, 29, 0, 0, 0, 0], [0, 0, 0, 0, -11, 0, 0, 3], [-44, 0, 0, 0, 0, 0, 2, 0], [0, 0, -20, 0, 0, -20, 0, 0], [0, 5, 0, -53, 0, 0, 0, 0], [0, 0, 0, 0, 6, 0, 0, -2], [0, -11, 0, -34, 0, 0, 0, 0], [0, 0, 0, 0, 24, 0, 0, 13], [-2, 0, 0, 0, 0, 0, 26, 0], [0, -5, 0, 2, 0, 0, 0, 0], [0, 1, 0, 11, 0, 0, 0, 0]], 'char_orbit_index': 1, 'field_poly': [2, 0, -20, -16, 30, 24, -8, -4, 1], 'hecke_orbit_code': 202661983265235968, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 3, 3, 3, 3, 3, 3, 3], 'hecke_ring_inverse_denominators': [1, 4, 2, 4, 1, 2, 2, 2], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0, 0, 0], [2, 0, 0, 2, 1, 0, 2, 1], [8, -1, 1, 1, 1, 1, 2, 2], [44, -6, 12, 22, 11, 6, 20, 15], [49, -9, 14, 21, 9, 10, 17, 15], [366, -75, 130, 209, 79, 80, 144, 118], [1526, -344, 570, 890, 305, 376, 566, 481], [6168, -1470, 2485, 3928, 1280, 1589, 2352, 1965]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0, 0, 0], [10, 4, 12, -26, -47, 10, 9, -2], [-44, 58, 292, -168, -326, 64, 55, -12], [76, -128, -490, 302, 541, -110, -91, 20], [-88, 208, 614, -452, -694, 154, 116, -26], [-108, 226, 754, -500, -858, 178, 145, -32], [-145, 240, 942, -548, -1033, 204, 174, -38], [220, -420, -1518, 944, 1678, -342, -282, 62]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 8, 'label': '9216.2.a.bt', 'level': 9216, 'maxp': 3067, 'weight': 2}
• mf_newspaces •

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

  
  {'AL_dims': [[[[2, -1], [3, -1]], 44, 15], [[[2, 1], [3, -1]], 48, 15], [[[2, -1], [3, 1]], 36, 10], [[[2, 1], [3, 1]], 28, 6]], 'ALdims': [28, 48, 36, 44], 'Nk2': 36864, 'analytic_conductor': 73.590130502812, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [9216, 1, [8191, 2053, 4097], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1441, 'dim': 156, 'eis_dim': 191, 'eis_new_dim': 8, 'hecke_cutter_primes': [5, 7, 11, 13, 17, 19, 67], 'hecke_orbit_code': 33563648, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 8, 8, 8, 8], 'label': '9216.2.a', 'level': 9216, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 1632, 'mf_new_dim': 164, 'num_forms': 46, 'plus_dim': 72, 'prim_orbit_index': 1, 'relative_dim': 156, 'sturm_bound': 3072, 'trace_bound': 67, 'trace_display': [0, 0, 0, 0], 'traces': [156, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 140, 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, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 116, 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, -48, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 212, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 48, 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, 24, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 40, 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, 440, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 44, 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, 56, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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• 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: 1423213
    {'conductor': 32, 'degree': 4, 'multiplicity': 2, 'order': 8, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9216.2.a.bt', 'source_level': 9216, 'target_char_orbit': 11, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '144.2.k.c', 'target_level': 144, 'twist_class_label': '144.2.k.c', 'twist_class_level': 144, 'twisting_char_label': '32.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1423214
    {'conductor': 96, 'degree': 4, 'multiplicity': 2, 'order': 8, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9216.2.a.bt', 'source_level': 9216, 'target_char_orbit': 11, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '144.2.k.c', 'target_level': 144, 'twist_class_label': '144.2.k.c', 'twist_class_level': 144, 'twisting_char_label': '96.o', 'twisting_char_orbit': 15, 'weight': 2}
  • id: 1423215
    {'conductor': 32, 'degree': 4, 'multiplicity': 2, 'order': 8, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9216.2.a.bt', 'source_level': 9216, 'target_char_orbit': 11, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '576.2.k.c', 'target_level': 576, 'twist_class_label': '144.2.k.c', 'twist_class_level': 144, 'twisting_char_label': '32.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 1423216
    {'conductor': 96, 'degree': 4, 'multiplicity': 2, 'order': 8, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9216.2.a.bt', 'source_level': 9216, 'target_char_orbit': 11, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '576.2.k.c', 'target_level': 576, 'twist_class_label': '144.2.k.c', 'twist_class_level': 144, 'twisting_char_label': '96.p', 'twisting_char_orbit': 16, 'weight': 2}
  • id: 1423217
    {'conductor': 32, 'degree': 4, 'multiplicity': 2, 'order': 8, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9216.2.a.bt', 'source_level': 9216, 'target_char_orbit': 11, 'target_dim': 8, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '1152.2.k.d', 'target_level': 1152, 'twist_class_label': '144.2.k.c', 'twist_class_level': 144, 'twisting_char_label': '32.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 1423218
    {'conductor': 96, 'degree': 4, 'multiplicity': 2, 'order': 8, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9216.2.a.bt', 'source_level': 9216, 'target_char_orbit': 11, 'target_dim': 8, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '1152.2.k.d', 'target_level': 1152, 'twist_class_label': '144.2.k.c', 'twist_class_level': 144, 'twisting_char_label': '96.p', 'twisting_char_orbit': 16, 'weight': 2}
  • id: 1423219
    {'conductor': 32, 'degree': 4, 'multiplicity': 2, 'order': 8, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9216.2.a.bt', 'source_level': 9216, 'target_char_orbit': 11, 'target_dim': 8, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '1152.2.k.e', 'target_level': 1152, 'twist_class_label': '144.2.k.c', 'twist_class_level': 144, 'twisting_char_label': '32.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1423220
    {'conductor': 96, 'degree': 4, 'multiplicity': 2, 'order': 8, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9216.2.a.bt', 'source_level': 9216, 'target_char_orbit': 11, 'target_dim': 8, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '1152.2.k.e', 'target_level': 1152, 'twist_class_label': '144.2.k.c', 'twist_class_level': 144, 'twisting_char_label': '96.o', 'twisting_char_orbit': 15, 'weight': 2}
  • id: 1423221
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9216.2.a.bt', 'source_level': 9216, 'target_char_orbit': 1, 'target_dim': 8, 'target_hecke_orbit': 43, 'target_is_minimal': False, 'target_label': '9216.2.a.bq', 'target_level': 9216, 'twist_class_label': '144.2.k.c', 'twist_class_level': 144, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1423222
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9216.2.a.bt', 'source_level': 9216, 'target_char_orbit': 1, 'target_dim': 8, 'target_hecke_orbit': 43, 'target_is_minimal': False, 'target_label': '9216.2.a.bq', 'target_level': 9216, 'twist_class_label': '144.2.k.c', 'twist_class_level': 144, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1423223
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9216.2.a.bt', 'source_level': 9216, 'target_char_orbit': 1, 'target_dim': 8, 'target_hecke_orbit': 43, 'target_is_minimal': False, 'target_label': '9216.2.a.bq', 'target_level': 9216, 'twist_class_label': '144.2.k.c', 'twist_class_level': 144, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1423224
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9216.2.a.bt', 'source_level': 9216, 'target_char_orbit': 1, 'target_dim': 8, 'target_hecke_orbit': 43, 'target_is_minimal': False, 'target_label': '9216.2.a.bq', 'target_level': 9216, 'twist_class_label': '144.2.k.c', 'twist_class_level': 144, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1423225
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9216.2.a.bt', 'source_level': 9216, 'target_char_orbit': 1, 'target_dim': 8, 'target_hecke_orbit': 46, 'target_is_minimal': False, 'target_label': '9216.2.a.bt', 'target_level': 9216, 'twist_class_label': '144.2.k.c', 'twist_class_level': 144, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1423226
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9216.2.a.bt', 'source_level': 9216, 'target_char_orbit': 1, 'target_dim': 8, 'target_hecke_orbit': 46, 'target_is_minimal': False, 'target_label': '9216.2.a.bt', 'target_level': 9216, 'twist_class_label': '144.2.k.c', 'twist_class_level': 144, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1423227
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9216.2.a.bt', 'source_level': 9216, 'target_char_orbit': 1, 'target_dim': 8, 'target_hecke_orbit': 46, 'target_is_minimal': False, 'target_label': '9216.2.a.bt', 'target_level': 9216, 'twist_class_label': '144.2.k.c', 'twist_class_level': 144, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1423228
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 46, 'source_is_minimal': False, 'source_label': '9216.2.a.bt', 'source_level': 9216, 'target_char_orbit': 1, 'target_dim': 8, 'target_hecke_orbit': 46, 'target_is_minimal': False, 'target_label': '9216.2.a.bt', 'target_level': 9216, 'twist_class_label': '144.2.k.c', 'twist_class_level': 144, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4967700
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 202661983265235968, 'p': 2}
  • id: 4967701
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 202661983265235968, 'p': 3}
  • id: 4967702
    {'charpoly_factorization': [[[8, 0, -12, 0, 1], 2]], 'hecke_orbit_code': 202661983265235968, 'p': 5}
  • id: 4967703
    {'charpoly_factorization': [[[-6, -2, 1], 4]], 'hecke_orbit_code': 202661983265235968, 'p': 7}
  • id: 4967704
    {'charpoly_factorization': [[[32, 0, -24, 0, 1], 2]], 'hecke_orbit_code': 202661983265235968, 'p': 11}
  • id: 4967705
    {'charpoly_factorization': [[[-14, 0, 1], 4]], 'hecke_orbit_code': 202661983265235968, 'p': 13}
  • id: 4967706
    {'charpoly_factorization': [[[288, 0, -40, 0, 1], 2]], 'hecke_orbit_code': 202661983265235968, 'p': 17}
  • id: 4967707
    {'charpoly_factorization': [[[144, 0, -32, 0, 1], 2]], 'hecke_orbit_code': 202661983265235968, 'p': 19}
  • id: 4967708
    {'charpoly_factorization': [[[1152, 0, -80, 0, 1], 2]], 'hecke_orbit_code': 202661983265235968, 'p': 23}
  • id: 4967709
    {'charpoly_factorization': [[[72, 0, -76, 0, 1], 2]], 'hecke_orbit_code': 202661983265235968, 'p': 29}
  • id: 4967710
    {'charpoly_factorization': [[[2, -6, 1], 4]], 'hecke_orbit_code': 202661983265235968, 'p': 31}
  • id: 4967711
    {'charpoly_factorization': [[[36, 0, -44, 0, 1], 2]], 'hecke_orbit_code': 202661983265235968, 'p': 37}
  • id: 4967712
    {'charpoly_factorization': [[[2592, 0, -104, 0, 1], 2]], 'hecke_orbit_code': 202661983265235968, 'p': 41}
  • id: 4967713
    {'charpoly_factorization': [[[16, 0, -64, 0, 1], 2]], 'hecke_orbit_code': 202661983265235968, 'p': 43}
  • id: 4967714
    {'charpoly_factorization': [[[10368, 0, -208, 0, 1], 2]], 'hecke_orbit_code': 202661983265235968, 'p': 47}
  • id: 4967715
    {'charpoly_factorization': [[[2888, 0, -108, 0, 1], 2]], 'hecke_orbit_code': 202661983265235968, 'p': 53}
  • id: 4967716
    {'charpoly_factorization': [[[4608, 0, -160, 0, 1], 2]], 'hecke_orbit_code': 202661983265235968, 'p': 59}
  • id: 4967717
    {'charpoly_factorization': [[[36, 0, -44, 0, 1], 2]], 'hecke_orbit_code': 202661983265235968, 'p': 61}
  • id: 4967718
    {'charpoly_factorization': [[[-32, 0, 1], 4]], 'hecke_orbit_code': 202661983265235968, 'p': 67}
  • id: 4967719
    {'charpoly_factorization': [[[2048, 0, -192, 0, 1], 2]], 'hecke_orbit_code': 202661983265235968, 'p': 71}
  • id: 4967720
    {'charpoly_factorization': [[[-24, -4, 1], 4]], 'hecke_orbit_code': 202661983265235968, 'p': 73}
  • id: 4967721
    {'charpoly_factorization': [[[42, -14, 1], 4]], 'hecke_orbit_code': 202661983265235968, 'p': 79}
  • id: 4967722
    {'charpoly_factorization': [[[32, 0, -24, 0, 1], 2]], 'hecke_orbit_code': 202661983265235968, 'p': 83}
  • id: 4967723
    {'charpoly_factorization': [[[512, 0, -96, 0, 1], 2]], 'hecke_orbit_code': 202661983265235968, 'p': 89}
  • id: 4967724
    {'charpoly_factorization': [[[-112, 0, 1], 4]], 'hecke_orbit_code': 202661983265235968, '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': 1, 'hecke_orbit': 46, 'label': '9216.2.a.bt', 'level': 9216, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 276036000
    {'hecke_orbit_code': 202661983265235968, 'n': 1, 'trace_an': 8}
  • id: 276036001
    {'hecke_orbit_code': 202661983265235968, 'n': 2, 'trace_an': 0}
  • id: 276036002
    {'hecke_orbit_code': 202661983265235968, 'n': 3, 'trace_an': 0}
  • id: 276036003
    {'hecke_orbit_code': 202661983265235968, 'n': 4, 'trace_an': 0}
  • id: 276036004
    {'hecke_orbit_code': 202661983265235968, 'n': 5, 'trace_an': 0}
  • id: 276036005
    {'hecke_orbit_code': 202661983265235968, 'n': 6, 'trace_an': 0}
  • id: 276036006
    {'hecke_orbit_code': 202661983265235968, 'n': 7, 'trace_an': 8}
  • id: 276036007
    {'hecke_orbit_code': 202661983265235968, 'n': 8, 'trace_an': 0}
  • id: 276036008
    {'hecke_orbit_code': 202661983265235968, 'n': 9, 'trace_an': 0}
  • id: 276036009
    {'hecke_orbit_code': 202661983265235968, 'n': 10, 'trace_an': 0}
  • id: 276036010
    {'hecke_orbit_code': 202661983265235968, 'n': 11, 'trace_an': 0}
  • id: 276036011
    {'hecke_orbit_code': 202661983265235968, 'n': 12, 'trace_an': 0}
  • id: 276036012
    {'hecke_orbit_code': 202661983265235968, 'n': 13, 'trace_an': 0}
  • id: 276036013
    {'hecke_orbit_code': 202661983265235968, 'n': 14, 'trace_an': 0}
  • id: 276036014
    {'hecke_orbit_code': 202661983265235968, 'n': 15, 'trace_an': 0}
  • id: 276036015
    {'hecke_orbit_code': 202661983265235968, 'n': 16, 'trace_an': 0}
  • id: 276036016
    {'hecke_orbit_code': 202661983265235968, 'n': 17, 'trace_an': 0}
  • id: 276036017
    {'hecke_orbit_code': 202661983265235968, 'n': 18, 'trace_an': 0}
  • id: 276036018
    {'hecke_orbit_code': 202661983265235968, 'n': 19, 'trace_an': 0}
  • id: 276036019
    {'hecke_orbit_code': 202661983265235968, 'n': 20, 'trace_an': 0}
  • id: 276036020
    {'hecke_orbit_code': 202661983265235968, 'n': 21, 'trace_an': 0}
  • id: 276036021
    {'hecke_orbit_code': 202661983265235968, 'n': 22, 'trace_an': 0}
  • id: 276036022
    {'hecke_orbit_code': 202661983265235968, 'n': 23, 'trace_an': 0}
  • id: 276036023
    {'hecke_orbit_code': 202661983265235968, 'n': 24, 'trace_an': 0}
  • id: 276036024
    {'hecke_orbit_code': 202661983265235968, 'n': 25, 'trace_an': 8}
  • id: 276036025
    {'hecke_orbit_code': 202661983265235968, 'n': 26, 'trace_an': 0}
  • id: 276036026
    {'hecke_orbit_code': 202661983265235968, 'n': 27, 'trace_an': 0}
  • id: 276036027
    {'hecke_orbit_code': 202661983265235968, 'n': 28, 'trace_an': 0}
  • id: 276036028
    {'hecke_orbit_code': 202661983265235968, 'n': 29, 'trace_an': 0}
  • id: 276036029
    {'hecke_orbit_code': 202661983265235968, 'n': 30, 'trace_an': 0}
  • id: 276036030
    {'hecke_orbit_code': 202661983265235968, 'n': 31, 'trace_an': 24}
  • id: 276036031
    {'hecke_orbit_code': 202661983265235968, 'n': 32, 'trace_an': 0}
  • id: 276036032
    {'hecke_orbit_code': 202661983265235968, 'n': 33, 'trace_an': 0}
  • id: 276036033
    {'hecke_orbit_code': 202661983265235968, 'n': 34, 'trace_an': 0}
  • id: 276036034
    {'hecke_orbit_code': 202661983265235968, 'n': 35, 'trace_an': 0}
  • id: 276036035
    {'hecke_orbit_code': 202661983265235968, 'n': 36, 'trace_an': 0}
  • id: 276036036
    {'hecke_orbit_code': 202661983265235968, 'n': 37, 'trace_an': 0}
  • id: 276036037
    {'hecke_orbit_code': 202661983265235968, 'n': 38, 'trace_an': 0}
  • id: 276036038
    {'hecke_orbit_code': 202661983265235968, 'n': 39, 'trace_an': 0}
  • id: 276036039
    {'hecke_orbit_code': 202661983265235968, 'n': 40, 'trace_an': 0}
  • id: 276036040
    {'hecke_orbit_code': 202661983265235968, 'n': 41, 'trace_an': 0}
  • id: 276036041
    {'hecke_orbit_code': 202661983265235968, 'n': 42, 'trace_an': 0}
  • id: 276036042
    {'hecke_orbit_code': 202661983265235968, 'n': 43, 'trace_an': 0}
  • id: 276036043
    {'hecke_orbit_code': 202661983265235968, 'n': 44, 'trace_an': 0}
  • id: 276036044
    {'hecke_orbit_code': 202661983265235968, 'n': 45, 'trace_an': 0}
  • id: 276036045
    {'hecke_orbit_code': 202661983265235968, 'n': 46, 'trace_an': 0}
  • id: 276036046
    {'hecke_orbit_code': 202661983265235968, 'n': 47, 'trace_an': 0}
  • id: 276036047
    {'hecke_orbit_code': 202661983265235968, 'n': 48, 'trace_an': 0}
  • id: 276036048
    {'hecke_orbit_code': 202661983265235968, 'n': 49, 'trace_an': 8}
  • id: 276036049
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