Embedded newform data - 1152.2.d.a.577.2

Formats: - HTML - YAML - JSON - 2026-10-14T11:21:59.198864

• 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': 4608, 'analytic_conductor': 9.1987663128515, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 8, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [1152, 2, [127, 901, 641], [2, 1, 2]], 'cm_discs': [], 'conrey_index': 577, 'dim': 2, '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]], [7, [4, 1]], [17, [-2, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 206191985792, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1152.2.d.a', 'level': 1152, 'level_is_powerful': True, '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], 'level_radical': 6, 'minimal_twist': '384.2.d.a', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q-4 q^{7}+\\beta q^{11}-\\beta q^{13}+2 q^{17}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1152.2.d', 'trace_display': [0, 0, 0, -8], 'trace_hash': 1543917248941261866, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.021', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.972', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.141', 'prec': 10}, {'__RealLiteral__': 0, 'data': '15.745', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.657', 'prec': 14}, {'__RealLiteral__': 0, 'data': '157.308', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.515', 'prec': 10}, 'traces': [2, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 16, 0, 10, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -16, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 12, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -16, 0, -10, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, -36, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -48, 0, -26, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, -44, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, 48, 0, 6, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 32, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, -48, 0, 28, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -16, 0, -32, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 16, 0, 82, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, -32, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 80, 0, 36, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 48, 0, 44, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 48, 0, 50, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -48, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, -68, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -48, 0, -32, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, -96, 0, 92, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, -96, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -48, 0, -70, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 96, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, -48, 0, -30, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 64, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 96, 0, -20, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 32, 0, -128, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 144, 0, -76, 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, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, -32, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 32, 0, 4, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 64, 0, 90, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -64, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 96, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -48, 0, -108, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, -32, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -80, 0, 96, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, -16, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, -24, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, -48, 0, 160, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 124, 0, 0, 0, 0, 0, -48, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, -10, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -32, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 76, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, -80, 0, 100, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 16, 0, 76, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 48, 0, 60, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 48, 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, -68, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 64, 0, 56, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 48, 0, -32, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, -140, 0, 0, 0, 0, 0, 136, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.511857892036909, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.2060453783110545], [0.0, 0.0], [0.0, -1.1094003924504583], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.48507125007266594, 0.0], [0.0, 0.0], [0.0, -0.9176629354822471], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.6681153124565982, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.4855627054164149], [0.0, 0.0], [0.7184212081070996, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.6575959492214292], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.9370425713316364, 0.0], [0.0, 0.0], [0.0, -0.6099942813304187], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.1669199319831565, 0.0], [0.0, 0.0], [1.2857142857142858, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.0988845115895123], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.5622669317698865], [0.0, 0.0], [0.0, -1.5364425591947517], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.4660333322756627], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9494253265550827, 0.0], [0.0, 0.0], [0.7022468831767834, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.8233692233542071], [0.0, 0.0], [0.4500351603704096, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.4390570399587614], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.635998728003816, 0.0], [0.0, 0.0], [0.0, 1.6772557387550693], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.2030692330267238, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, None, 0.0, -0.3864072370857475, 0.1030185831501773, -0.40641647909450057, -0.21101043481131534, -0.4241340835443633, -0.09300599429730366, -0.36675309381721466, -0.19152298767951967, -0.44667823977520493, -0.17239346463999347, -0.4506722447714794, -0.34915074449092265, 0.09257988277080612, -0.3573209112873296, -0.36057103081184777, 0.13094414333372484, -0.32872400892627135, -0.19289987439004594, -0.21387802238104772, 0.03522595061858971, -0.30150549434443674, -0.266187631589419, 0.06515038143332243, -0.21842935982412973, 0.030967204107095008, -0.4693218196736924, -0.1355946523174732, -0.27839584667807005, -0.4121780204718505, -0.20874704869761704, -0.33884658221734204, 0.0, -0.16881350308530776, 0.025513022537651992, -0.35677756617563816, -0.25, 0.0, 0.023881110312312742, 0.02374781042145829, -0.15174894775006154, -0.3621625176077288, 0.1632106226355884, -0.22735932579021112, -0.47801680981914135, -0.36677783648878054, 0.02118951330153185, 0.02109623157942068, -0.37807457278867584, -0.25, -0.2602591743453657, -0.438182746848115, -0.25993426215277043, -0.16789503507494638, 0.13062539763334524, -0.19062439434893408, 0.10258391295840218, -0.2786374432048331, -0.4810335816224872, -0.37635804324797373, 0.05562634810881859, -0.4309213668338932, -0.3567903784835765, 0.03606396067125097, -0.48246867486369227, -0.2413259843798137, -0.44780615952364755, -0.365170348206827, -0.42999687876256926, -0.14084260793355585, -0.05560219576532928, -0.48348893828759953, -0.4836206212146415, -0.3170229891421976, -0.3493986216097541, 0.08368008270945425, -0.08862080849990306, -0.13888452174782215, 0.08123371592253516, 0.08102188091065843, -0.3480871565340794, -0.1953955433185921, -0.2962233921186195, 0.16328466410568818, -0.3035834617199687, -0.2124271970549565, 0.0, -0.32692599602443934, -0.4552227396985305, -0.2792523203100893, -0.32484869847104775, -0.45635983042562905, -0.4857313860725685, -0.1601457127256814, -0.41074086788677927, -0.22902118811139538, -0.427972800274698, 0.10279611054981569], 'char_orbit_index': 4, 'conrey_index': 577, 'dual_conrey_index': 577, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 1, 'hecke_orbit_code': 206191985792, 'label': '1152.2.d.a.577.2', 'level': 1152, 'weight': 2}
• 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': 4608, 'analytic_conductor': 9.1987663128515, 'char_conductor': 8, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [1152, 2, [127, 901, 641], [2, 1, 2]], 'conrey_index': 577, 'cusp_dim': 160, 'dim': 20, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 17], 'hecke_orbit_code': 206191985792, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 4, 4], 'label': '1152.2.d', 'level': 1152, 'level_is_powerful': True, '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], 'level_radical': 6, 'mf_dim': 224, 'mf_new_dim': 20, 'num_forms': 8, 'prim_orbit_index': 2, 'relative_dim': 20, 'sturm_bound': 384, 'trace_bound': 17, 'trace_display': [0, 0, 0, 0], 'traces': [20, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -248, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 392, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, -572, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -472, 0, 0, 0, 0, 0, 0, 0, -172, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -248, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 1952495
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206191985792, 'source_is_minimal': False, 'source_label': '1152.2.d.a.577.2', 'source_level': 1152, 'target_conrey_index': 577, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 206191985792, 'target_is_minimal': False, 'target_label': '1152.2.d.a.577.2', 'target_level': 1152, 'twist_class_label': '384.2.d.a.193.1', 'twist_class_level': 384, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 1952496
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206191985792, 'source_is_minimal': False, 'source_label': '1152.2.d.a.577.2', 'source_level': 1152, 'target_conrey_index': 193, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 206191985024, 'target_is_minimal': True, 'target_label': '384.2.d.a.193.1', 'target_level': 384, 'twist_class_label': '384.2.d.a.193.1', 'twist_class_level': 384, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 1952497
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206191985792, 'source_is_minimal': False, 'source_label': '1152.2.d.a.577.2', 'source_level': 1152, 'target_conrey_index': 577, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518204328838272, 'target_is_minimal': False, 'target_label': '1152.2.d.f.577.1', 'target_level': 1152, 'twist_class_label': '384.2.d.a.193.1', 'twist_class_level': 384, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 1952498
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206191985792, 'source_is_minimal': False, 'source_label': '1152.2.d.a.577.2', 'source_level': 1152, 'target_conrey_index': 577, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22518204328838272, 'target_is_minimal': False, 'target_label': '1152.2.d.f.577.2', 'target_level': 1152, 'twist_class_label': '384.2.d.a.193.1', 'twist_class_level': 384, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 1952499
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206191985792, 'source_is_minimal': False, 'source_label': '1152.2.d.a.577.2', 'source_level': 1152, 'target_conrey_index': 577, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 206191985792, 'target_is_minimal': False, 'target_label': '1152.2.d.a.577.1', 'target_level': 1152, 'twist_class_label': '384.2.d.a.193.1', 'twist_class_level': 384, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 1952500
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206191985792, 'source_is_minimal': False, 'source_label': '1152.2.d.a.577.2', 'source_level': 1152, 'target_conrey_index': 193, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503805819355520, 'target_is_minimal': True, 'target_label': '384.2.d.b.193.2', 'target_level': 384, 'twist_class_label': '384.2.d.a.193.1', 'twist_class_level': 384, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 1952501
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206191985792, 'source_is_minimal': False, 'source_label': '1152.2.d.a.577.2', 'source_level': 1152, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998170409216, 'target_is_minimal': False, 'target_label': '2304.2.a.f.1.1', 'target_level': 2304, 'twist_class_label': '384.2.d.a.193.1', 'twist_class_level': 384, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 1952502
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206191985792, 'source_is_minimal': False, 'source_label': '1152.2.d.a.577.2', 'source_level': 1152, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679891200, 'target_is_minimal': False, 'target_label': '2304.2.a.j.1.1', 'target_level': 2304, 'twist_class_label': '384.2.d.a.193.1', 'twist_class_level': 384, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 1952503
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206191985792, 'source_is_minimal': False, 'source_label': '1152.2.d.a.577.2', 'source_level': 1152, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597797779712, 'target_is_minimal': False, 'target_label': '2304.2.a.g.1.1', 'target_level': 2304, 'twist_class_label': '384.2.d.a.193.1', 'twist_class_level': 384, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 1952504
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206191985792, 'source_is_minimal': False, 'source_label': '1152.2.d.a.577.2', 'source_level': 1152, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996307261696, 'target_is_minimal': False, 'target_label': '2304.2.a.k.1.1', 'target_level': 2304, 'twist_class_label': '384.2.d.a.193.1', 'twist_class_level': 384, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 1952505
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206191985792, 'source_is_minimal': False, 'source_label': '1152.2.d.a.577.2', 'source_level': 1152, 'target_conrey_index': 193, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 206191985024, 'target_is_minimal': True, 'target_label': '384.2.d.a.193.2', 'target_level': 384, 'twist_class_label': '384.2.d.a.193.1', 'twist_class_level': 384, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 1952506
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206191985792, 'source_is_minimal': False, 'source_label': '1152.2.d.a.577.2', 'source_level': 1152, 'target_conrey_index': 193, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503805819355520, 'target_is_minimal': True, 'target_label': '384.2.d.b.193.1', 'target_level': 384, 'twist_class_label': '384.2.d.a.193.1', 'twist_class_level': 384, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 1952507
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206191985792, 'source_is_minimal': False, 'source_label': '1152.2.d.a.577.2', 'source_level': 1152, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288296192, 'target_is_minimal': False, 'target_label': '768.2.a.c.1.1', 'target_level': 768, 'twist_class_label': '384.2.d.a.193.1', 'twist_class_level': 384, 'twisting_char_label': '48.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 1952508
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206191985792, 'source_is_minimal': False, 'source_label': '1152.2.d.a.577.2', 'source_level': 1152, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998170407680, 'target_is_minimal': False, 'target_label': '768.2.a.f.1.1', 'target_level': 768, 'twist_class_label': '384.2.d.a.193.1', 'twist_class_level': 384, 'twisting_char_label': '48.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 1952509
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206191985792, 'source_is_minimal': False, 'source_label': '1152.2.d.a.577.2', 'source_level': 1152, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597797778176, 'target_is_minimal': False, 'target_label': '768.2.a.g.1.1', 'target_level': 768, 'twist_class_label': '384.2.d.a.193.1', 'twist_class_level': 384, 'twisting_char_label': '48.29', 'twisting_conrey_index': 29, 'weight': 2}
  • id: 1952510
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 206191985792, 'source_is_minimal': False, 'source_label': '1152.2.d.a.577.2', 'source_level': 1152, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660925696, 'target_is_minimal': False, 'target_label': '768.2.a.b.1.1', 'target_level': 768, 'twist_class_label': '384.2.d.a.193.1', 'twist_class_level': 384, 'twisting_char_label': '48.35', 'twisting_conrey_index': 35, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1722925
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 206191985792, 'p': 2}
  • id: 1722926
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 206191985792, 'p': 3}
  • id: 1722927
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 206191985792, 'p': 5}
  • id: 1722928
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 206191985792, 'p': 7}
  • id: 1722929
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 206191985792, 'p': 11}
  • id: 1722930
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 206191985792, 'p': 13}
  • id: 1722931
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 206191985792, 'p': 17}
  • id: 1722932
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 206191985792, 'p': 19}
  • id: 1722933
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 206191985792, 'p': 23}
  • id: 1722934
    {'charpoly_factorization': [[[64, 0, 1], 1]], 'hecke_orbit_code': 206191985792, 'p': 29}
  • id: 1722935
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 206191985792, 'p': 31}
  • id: 1722936
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 206191985792, 'p': 37}
  • id: 1722937
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 206191985792, 'p': 41}
  • id: 1722938
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 206191985792, 'p': 43}
  • id: 1722939
    {'charpoly_factorization': [[[8, 1], 2]], 'hecke_orbit_code': 206191985792, 'p': 47}
  • id: 1722940
    {'charpoly_factorization': [[[64, 0, 1], 1]], 'hecke_orbit_code': 206191985792, 'p': 53}
  • id: 1722941
    {'charpoly_factorization': [[[144, 0, 1], 1]], 'hecke_orbit_code': 206191985792, 'p': 59}
  • id: 1722942
    {'charpoly_factorization': [[[144, 0, 1], 1]], 'hecke_orbit_code': 206191985792, 'p': 61}
  • id: 1722943
    {'charpoly_factorization': [[[144, 0, 1], 1]], 'hecke_orbit_code': 206191985792, 'p': 67}
  • id: 1722944
    {'charpoly_factorization': [[[8, 1], 2]], 'hecke_orbit_code': 206191985792, 'p': 71}
  • id: 1722945
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 206191985792, 'p': 73}
  • id: 1722946
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 206191985792, 'p': 79}
  • id: 1722947
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 206191985792, 'p': 83}
  • id: 1722948
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 206191985792, 'p': 89}
  • id: 1722949
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 206191985792, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 4, 'hecke_orbit': 1, 'label': '1152.2.d.a', 'level': 1152, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 6638664
    {'hecke_orbit_code': 206191985792, 'n': 1, 'trace_an': 2}
  • id: 6638665
    {'hecke_orbit_code': 206191985792, 'n': 2, 'trace_an': 0}
  • id: 6638666
    {'hecke_orbit_code': 206191985792, 'n': 3, 'trace_an': 0}
  • id: 6638667
    {'hecke_orbit_code': 206191985792, 'n': 4, 'trace_an': 0}
  • id: 6638668
    {'hecke_orbit_code': 206191985792, 'n': 5, 'trace_an': 0}
  • id: 6638669
    {'hecke_orbit_code': 206191985792, 'n': 6, 'trace_an': 0}
  • id: 6638670
    {'hecke_orbit_code': 206191985792, 'n': 7, 'trace_an': -8}
  • id: 6638671
    {'hecke_orbit_code': 206191985792, 'n': 8, 'trace_an': 0}
  • id: 6638672
    {'hecke_orbit_code': 206191985792, 'n': 9, 'trace_an': 0}
  • id: 6638673
    {'hecke_orbit_code': 206191985792, 'n': 10, 'trace_an': 0}
  • id: 6638674
    {'hecke_orbit_code': 206191985792, 'n': 11, 'trace_an': 0}
  • id: 6638675
    {'hecke_orbit_code': 206191985792, 'n': 12, 'trace_an': 0}
  • id: 6638676
    {'hecke_orbit_code': 206191985792, 'n': 13, 'trace_an': 0}
  • id: 6638677
    {'hecke_orbit_code': 206191985792, 'n': 14, 'trace_an': 0}
  • id: 6638678
    {'hecke_orbit_code': 206191985792, 'n': 15, 'trace_an': 0}
  • id: 6638679
    {'hecke_orbit_code': 206191985792, 'n': 16, 'trace_an': 0}
  • id: 6638680
    {'hecke_orbit_code': 206191985792, 'n': 17, 'trace_an': 4}
  • id: 6638681
    {'hecke_orbit_code': 206191985792, 'n': 18, 'trace_an': 0}
  • id: 6638682
    {'hecke_orbit_code': 206191985792, 'n': 19, 'trace_an': 0}
  • id: 6638683
    {'hecke_orbit_code': 206191985792, 'n': 20, 'trace_an': 0}
  • id: 6638684
    {'hecke_orbit_code': 206191985792, 'n': 21, 'trace_an': 0}
  • id: 6638685
    {'hecke_orbit_code': 206191985792, 'n': 22, 'trace_an': 0}
  • id: 6638686
    {'hecke_orbit_code': 206191985792, 'n': 23, 'trace_an': 16}
  • id: 6638687
    {'hecke_orbit_code': 206191985792, 'n': 24, 'trace_an': 0}
  • id: 6638688
    {'hecke_orbit_code': 206191985792, 'n': 25, 'trace_an': 10}
  • id: 6638689
    {'hecke_orbit_code': 206191985792, 'n': 26, 'trace_an': 0}
  • id: 6638690
    {'hecke_orbit_code': 206191985792, 'n': 27, 'trace_an': 0}
  • id: 6638691
    {'hecke_orbit_code': 206191985792, 'n': 28, 'trace_an': 0}
  • id: 6638692
    {'hecke_orbit_code': 206191985792, 'n': 29, 'trace_an': 0}
  • id: 6638693
    {'hecke_orbit_code': 206191985792, 'n': 30, 'trace_an': 0}
  • id: 6638694
    {'hecke_orbit_code': 206191985792, 'n': 31, 'trace_an': 8}
  • id: 6638695
    {'hecke_orbit_code': 206191985792, 'n': 32, 'trace_an': 0}
  • id: 6638696
    {'hecke_orbit_code': 206191985792, 'n': 33, 'trace_an': 0}
  • id: 6638697
    {'hecke_orbit_code': 206191985792, 'n': 34, 'trace_an': 0}
  • id: 6638698
    {'hecke_orbit_code': 206191985792, 'n': 35, 'trace_an': 0}
  • id: 6638699
    {'hecke_orbit_code': 206191985792, 'n': 36, 'trace_an': 0}
  • id: 6638700
    {'hecke_orbit_code': 206191985792, 'n': 37, 'trace_an': 0}
  • id: 6638701
    {'hecke_orbit_code': 206191985792, 'n': 38, 'trace_an': 0}
  • id: 6638702
    {'hecke_orbit_code': 206191985792, 'n': 39, 'trace_an': 0}
  • id: 6638703
    {'hecke_orbit_code': 206191985792, 'n': 40, 'trace_an': 0}
  • id: 6638704
    {'hecke_orbit_code': 206191985792, 'n': 41, 'trace_an': 12}
  • id: 6638705
    {'hecke_orbit_code': 206191985792, 'n': 42, 'trace_an': 0}
  • id: 6638706
    {'hecke_orbit_code': 206191985792, 'n': 43, 'trace_an': 0}
  • id: 6638707
    {'hecke_orbit_code': 206191985792, 'n': 44, 'trace_an': 0}
  • id: 6638708
    {'hecke_orbit_code': 206191985792, 'n': 45, 'trace_an': 0}
  • id: 6638709
    {'hecke_orbit_code': 206191985792, 'n': 46, 'trace_an': 0}
  • id: 6638710
    {'hecke_orbit_code': 206191985792, 'n': 47, 'trace_an': -16}
  • id: 6638711
    {'hecke_orbit_code': 206191985792, 'n': 48, 'trace_an': 0}
  • id: 6638712
    {'hecke_orbit_code': 206191985792, 'n': 49, 'trace_an': 18}
  • id: 6638713
    {'hecke_orbit_code': 206191985792, 'n': 50, 'trace_an': 0}
  • id: 6638714
    {'hecke_orbit_code': 206191985792, 'n': 51, 'trace_an': 0}
  • id: 6638715
    {'hecke_orbit_code': 206191985792, 'n': 52, 'trace_an': 0}
  • id: 6638716
    {'hecke_orbit_code': 206191985792, 'n': 53, 'trace_an': 0}
  • id: 6638717
    {'hecke_orbit_code': 206191985792, 'n': 54, 'trace_an': 0}
  • id: 6638718
    {'hecke_orbit_code': 206191985792, 'n': 55, 'trace_an': 0}
  • id: 6638719
    {'hecke_orbit_code': 206191985792, 'n': 56, 'trace_an': 0}
  • id: 6638720
    {'hecke_orbit_code': 206191985792, 'n': 57, 'trace_an': 0}
  • id: 6638721
    {'hecke_orbit_code': 206191985792, 'n': 58, 'trace_an': 0}
  • id: 6638722
    {'hecke_orbit_code': 206191985792, 'n': 59, 'trace_an': 0}
  • id: 6638723
    {'hecke_orbit_code': 206191985792, 'n': 60, 'trace_an': 0}
  • id: 6638724
    {'hecke_orbit_code': 206191985792, 'n': 61, 'trace_an': 0}
  • id: 6638725
    {'hecke_orbit_code': 206191985792, 'n': 62, 'trace_an': 0}
  • id: 6638726
    {'hecke_orbit_code': 206191985792, 'n': 63, 'trace_an': 0}
  • id: 6638727
    {'hecke_orbit_code': 206191985792, 'n': 64, 'trace_an': 0}
  • id: 6638728
    {'hecke_orbit_code': 206191985792, 'n': 65, 'trace_an': 0}
  • id: 6638729
    {'hecke_orbit_code': 206191985792, 'n': 66, 'trace_an': 0}
  • id: 6638730
    {'hecke_orbit_code': 206191985792, 'n': 67, 'trace_an': 0}
  • id: 6638731
    {'hecke_orbit_code': 206191985792, 'n': 68, 'trace_an': 0}
  • id: 6638732
    {'hecke_orbit_code': 206191985792, 'n': 69, 'trace_an': 0}
  • id: 6638733
    {'hecke_orbit_code': 206191985792, 'n': 70, 'trace_an': 0}
  • id: 6638734
    {'hecke_orbit_code': 206191985792, 'n': 71, 'trace_an': -16}
  • id: 6638735
    {'hecke_orbit_code': 206191985792, 'n': 72, 'trace_an': 0}
  • id: 6638736
    {'hecke_orbit_code': 206191985792, 'n': 73, 'trace_an': 12}
  • id: 6638737
    {'hecke_orbit_code': 206191985792, 'n': 74, 'trace_an': 0}
  • id: 6638738
    {'hecke_orbit_code': 206191985792, 'n': 75, 'trace_an': 0}
  • id: 6638739
    {'hecke_orbit_code': 206191985792, 'n': 76, 'trace_an': 0}
  • id: 6638740
    {'hecke_orbit_code': 206191985792, 'n': 77, 'trace_an': 0}
  • id: 6638741
    {'hecke_orbit_code': 206191985792, 'n': 78, 'trace_an': 0}
  • id: 6638742
    {'hecke_orbit_code': 206191985792, 'n': 79, 'trace_an': 8}
  • id: 6638743
    {'hecke_orbit_code': 206191985792, 'n': 80, 'trace_an': 0}
  • id: 6638744
    {'hecke_orbit_code': 206191985792, 'n': 81, 'trace_an': 0}
  • id: 6638745
    {'hecke_orbit_code': 206191985792, 'n': 82, 'trace_an': 0}
  • id: 6638746
    {'hecke_orbit_code': 206191985792, 'n': 83, 'trace_an': 0}
  • id: 6638747
    {'hecke_orbit_code': 206191985792, 'n': 84, 'trace_an': 0}
  • id: 6638748
    {'hecke_orbit_code': 206191985792, 'n': 85, 'trace_an': 0}
  • id: 6638749
    {'hecke_orbit_code': 206191985792, 'n': 86, 'trace_an': 0}
  • id: 6638750
    {'hecke_orbit_code': 206191985792, 'n': 87, 'trace_an': 0}
  • id: 6638751
    {'hecke_orbit_code': 206191985792, 'n': 88, 'trace_an': 0}
  • id: 6638752
    {'hecke_orbit_code': 206191985792, 'n': 89, 'trace_an': -12}
  • id: 6638753
    {'hecke_orbit_code': 206191985792, 'n': 90, 'trace_an': 0}
  • id: 6638754
    {'hecke_orbit_code': 206191985792, 'n': 91, 'trace_an': 0}
  • id: 6638755
    {'hecke_orbit_code': 206191985792, 'n': 92, 'trace_an': 0}
  • id: 6638756
    {'hecke_orbit_code': 206191985792, 'n': 93, 'trace_an': 0}
  • id: 6638757
    {'hecke_orbit_code': 206191985792, 'n': 94, 'trace_an': 0}
  • id: 6638758
    {'hecke_orbit_code': 206191985792, 'n': 95, 'trace_an': 0}
  • id: 6638759
    {'hecke_orbit_code': 206191985792, 'n': 96, 'trace_an': 0}
  • id: 6638760
    {'hecke_orbit_code': 206191985792, 'n': 97, 'trace_an': -4}
  • id: 6638761
    {'hecke_orbit_code': 206191985792, 'n': 98, 'trace_an': 0}
  • id: 6638762
    {'hecke_orbit_code': 206191985792, 'n': 99, 'trace_an': 0}
  • id: 6638763
    {'hecke_orbit_code': 206191985792, 'n': 100, 'trace_an': 0}