Embedded newform data - 4608.2.f.n.2303.3

Formats: - HTML - YAML - JSON - 2026-09-20T14:52:26.773408

• 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': 18432, 'analytic_conductor': 36.795065251406, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 24, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [4608, 2, [3583, 2053, 4097], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 2303, 'dim': 8, 'field_disc': 16777216, 'field_disc_factorization': [[2, 24]], 'field_poly': [1, 0, 0, 0, 0, 0, 0, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 16, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [32, 0, -16, 0, 1]], [7, [4, 0, 12, 0, 1]], [19, [512, 0, -64, 0, 1]], [23, [-4, 4, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58547138786759168, 'hecke_ring_generator_nbound': 17, 'hecke_ring_index': 2048, 'hecke_ring_index_factorization': [[2, 11]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 2, 1, 2, 0], [1, 1, 12, 2, 1, 2, 0], [1, 1, 24, 6, 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': True, 'label': '4608.2.f.n', 'level': 4608, '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': '4608.2.c.q', 'nf_label': '8.0.16777216.1', 'prim_orbit_index': 6, 'qexp_display': 'q-\\beta_{3} q^{5}+(\\beta_{2}+\\beta_1)q^{7}+\\beta_{4} q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4608.2.f', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1233725240193659458, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.075', 'prec': 7}, {'__RealLiteral__': 0, 'data': '7.607', 'prec': 14}, {'__RealLiteral__': 0, 'data': '7.106', 'prec': 14}, {'__RealLiteral__': 0, 'data': '560.607', 'prec': 20}, {'__RealLiteral__': 0, 'data': '903.275', 'prec': 20}, {'__RealLiteral__': 0, 'data': '58550.572', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.771', 'prec': 10}, 'traces': [8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, -16, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, -208, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 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, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, -64, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 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, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 72, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 112, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, -512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -272, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 48, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, -320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 368, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, -328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -336, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 304, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, -272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 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, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -336, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 368, 0, -384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, -512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, -832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, -384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, -512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 272, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, -304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -512, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 128, 0, 512, 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, 0, 0, 0, 0, 0, 0, -128, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -272, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, -320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 368, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 64, 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, 0, 0, 0, 0, 0, 0, 240, 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], [-0.6845649349050271, 0.0], [0.0, 0.0], [0.0, -0.22140646219360569], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.5757742252615425], [0.0, 0.0], [0.0, -1.4495014659950864], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.3429971702850177], [0.0, 0.0], [0.7023488038091404, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.172738996505439, 0.0], [0.0, 0.0], [-0.531370849898476, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0882308602451587, 0.0], [0.0, 0.0], [0.0, -1.1212113660546927], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.15156710037911802], [0.0, 0.0], [0.0, 0.5033021499148715], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.5868009386597692], [0.0, 0.0], [-0.6602530523350094, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2877584474908848, 0.0], [0.0, 0.0], [0.9509791784989114, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8049744605172573, 0.0], [0.0, 0.0], [0.0, -1.0787197799411874], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.5636618472408182], [0.0, 0.0], [0.0, 0.9463252222128615], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.9922778767136676], [0.0, 0.0], [-1.650994349855043, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2443739615947975, 0.0], [0.0, 0.0], [-0.8961670052741555, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.348886596431028, 0.0], [0.0, 0.0], [0.0, -0.3295306167502939], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.0488875834131943], [0.0, 0.0], [0.0, -0.2348038355487716], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.7495316889958614], [0.0, 0.0], [-0.3209289915304171, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.48080336316022787, 0.0], [0.0, 0.0], [1.148733053788381, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, None, -0.30559998742864175, -0.48234484628819424, 0.1444124860631288, -0.3709774563699086, 0.027430448327281344, -0.1928912121917632, -0.23623671947972147, -0.3415673220268885, -0.40528418023805896, 0.04048676618227912, -0.45260653536000656, -0.3035457091444945, -0.13866195711253784, -0.1840728899657377, -0.4545291378081662, 0.0784438474725905, -0.4045525823568304, -0.1431221781267884, -0.3239466383341556, -0.47365666380381, 0.08786335313523086, -0.4388615518333724, -0.15262421736479623, -0.1483405749102117, -0.43049003413117487, -0.4157018305909981, 0.07565271602257045, 0.050125917254420324, -0.2758314782016069, -0.4245300000071243, -0.4124101767767191, -0.05524918129867418, -0.341317159314798, -0.36210183398589874, -0.32714629702462616, -0.11539448156535043, -0.14375716671333916, -0.2969854705053441, -0.4632558501401315, 0.05778327957071945, -0.34825105224993846, -0.19767825045643017, -0.45126082989715965, -0.4507862073651202, -0.15684273630299336, -0.347965977385095, -0.4952632519199836, -0.39721741182381276, 0.004843543750885843, -0.07762818608823836, -0.1658802065430292, 0.017276903661680186, 0.11506573784722958, -0.19329180915811237, -0.2785872128600735, 0.04686980405334622, -0.4446251021714532, -0.34056886301076117, -0.177604134120497, -0.19308499710788574, -0.34467027940713013, -0.3019709570598202, -0.31306581686481033, -0.3046254648687667, -0.35428921796253154, -0.24851248918008104, -0.3602589795708408, 0.11083299366302607, -0.47992175812718074, -0.1524517340263212, 0.021126750651543433, -0.49477402019547106, -0.17423275130190483, -0.372926041968789, -0.15627251062771463, -0.3973006408263271, 0.10247425675481014, -0.185272745730398, 0.20237819180948352, 0.020324528428866853, -0.09401346663498057, -0.2140778361134022, -0.4262608784808392, -0.4966095285937912, -0.4770097247094822, -0.20737731869926795, -0.10037175664469783, 0.06687922684880615, 0.042288144182467804, -0.3943993705620659, 0.002112407588992328, 0.13858135162505655, -0.16209130457198617, -0.2293663639272603, -0.39368923795560146, 0.03133138221295787, -0.23933910266704483, -0.45175856335592074], 'char_orbit_index': 6, 'conrey_index': 2303, 'dual_conrey_index': 2303, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.9238795325112867, 'embedding_root_real': 0.3826834323650898, 'hecke_orbit': 14, 'hecke_orbit_code': 58547138786759168, 'label': '4608.2.f.n.2303.3', 'level': 4608, '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': 18432, 'analytic_conductor': 36.795065251406, 'char_conductor': 24, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [4608, 2, [3583, 2053, 4097], [1, 1, 1]], 'conrey_index': 2303, 'cusp_dim': 704, 'dim': 64, 'eis_dim': 128, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 19, 23], 'hecke_orbit_code': 343630942720, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 8, 8, 8, 8], 'label': '4608.2.f', 'level': 4608, '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': 832, 'mf_new_dim': 64, 'num_forms': 16, 'prim_orbit_index': 6, 'relative_dim': 64, 'sturm_bound': 1536, 'trace_bound': 25, 'trace_display': [0, 0, 0, 0], 'traces': [64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 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, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 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, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 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, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 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, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 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, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 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, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 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], '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: 47732612
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 2303, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58547138786759168, 'source_is_minimal': False, 'source_label': '4608.2.f.n.2303.3', 'source_level': 4608, 'target_conrey_index': 2303, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 58547138786759168, 'target_is_minimal': False, 'target_label': '4608.2.f.n.2303.3', 'target_level': 4608, 'twist_class_label': '4608.2.c.q.4607.3', 'twist_class_level': 4608, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47732613
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2303, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58547138786759168, 'source_is_minimal': False, 'source_label': '4608.2.f.n.2303.3', 'source_level': 4608, 'target_conrey_index': 2303, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 63050738414129664, 'target_is_minimal': False, 'target_label': '4608.2.f.o.2303.5', 'target_level': 4608, 'twist_class_label': '4608.2.c.q.4607.3', 'twist_class_level': 4608, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47732614
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2303, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58547138786759168, 'source_is_minimal': False, 'source_label': '4608.2.f.n.2303.3', 'source_level': 4608, 'target_conrey_index': 2303, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 63050738414129664, 'target_is_minimal': False, 'target_label': '4608.2.f.o.2303.4', 'target_level': 4608, 'twist_class_label': '4608.2.c.q.4607.3', 'twist_class_level': 4608, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47732615
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2303, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58547138786759168, 'source_is_minimal': False, 'source_label': '4608.2.f.n.2303.3', 'source_level': 4608, 'target_conrey_index': 2303, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 63050738414129664, 'target_is_minimal': False, 'target_label': '4608.2.f.o.2303.6', 'target_level': 4608, 'twist_class_label': '4608.2.c.q.4607.3', 'twist_class_level': 4608, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47732616
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2303, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58547138786759168, 'source_is_minimal': False, 'source_label': '4608.2.f.n.2303.3', 'source_level': 4608, 'target_conrey_index': 2303, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 58547138786759168, 'target_is_minimal': False, 'target_label': '4608.2.f.n.2303.5', 'target_level': 4608, 'twist_class_label': '4608.2.c.q.4607.3', 'twist_class_level': 4608, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 47732617
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2303, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58547138786759168, 'source_is_minimal': False, 'source_label': '4608.2.f.n.2303.3', 'source_level': 4608, 'target_conrey_index': 2303, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 58547138786759168, 'target_is_minimal': False, 'target_label': '4608.2.f.n.2303.6', 'target_level': 4608, 'twist_class_label': '4608.2.c.q.4607.3', 'twist_class_level': 4608, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 47732618
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 2303, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58547138786759168, 'source_is_minimal': False, 'source_label': '4608.2.f.n.2303.3', 'source_level': 4608, 'target_conrey_index': 4607, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 72057731510440448, 'target_is_minimal': True, 'target_label': '4608.2.c.q.4607.5', 'target_level': 4608, 'twist_class_label': '4608.2.c.q.4607.3', 'twist_class_level': 4608, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47732619
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 2303, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58547138786759168, 'source_is_minimal': False, 'source_label': '4608.2.f.n.2303.3', 'source_level': 4608, 'target_conrey_index': 4607, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 76561331137810944, 'target_is_minimal': True, 'target_label': '4608.2.c.r.4607.4', 'target_level': 4608, 'twist_class_label': '4608.2.c.q.4607.3', 'twist_class_level': 4608, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 47732620
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 2303, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58547138786759168, 'source_is_minimal': False, 'source_label': '4608.2.f.n.2303.3', 'source_level': 4608, 'target_conrey_index': 4607, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 72057731510440448, 'target_is_minimal': True, 'target_label': '4608.2.c.q.4607.3', 'target_level': 4608, 'twist_class_label': '4608.2.c.q.4607.3', 'twist_class_level': 4608, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 47732621
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 2303, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58547138786759168, 'source_is_minimal': False, 'source_label': '4608.2.f.n.2303.3', 'source_level': 4608, 'target_conrey_index': 4607, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 76561331137810944, 'target_is_minimal': True, 'target_label': '4608.2.c.r.4607.6', 'target_level': 4608, 'twist_class_label': '4608.2.c.q.4607.3', 'twist_class_level': 4608, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 47732622
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2303, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58547138786759168, 'source_is_minimal': False, 'source_label': '4608.2.f.n.2303.3', 'source_level': 4608, 'target_conrey_index': 2303, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 63050738414129664, 'target_is_minimal': False, 'target_label': '4608.2.f.o.2303.3', 'target_level': 4608, 'twist_class_label': '4608.2.c.q.4607.3', 'twist_class_level': 4608, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 47732623
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2303, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58547138786759168, 'source_is_minimal': False, 'source_label': '4608.2.f.n.2303.3', 'source_level': 4608, 'target_conrey_index': 2303, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 58547138786759168, 'target_is_minimal': False, 'target_label': '4608.2.f.n.2303.4', 'target_level': 4608, 'twist_class_label': '4608.2.c.q.4607.3', 'twist_class_level': 4608, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 47732624
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 2303, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58547138786759168, 'source_is_minimal': False, 'source_label': '4608.2.f.n.2303.3', 'source_level': 4608, 'target_conrey_index': 4607, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 72057731510440448, 'target_is_minimal': True, 'target_label': '4608.2.c.q.4607.6', 'target_level': 4608, 'twist_class_label': '4608.2.c.q.4607.3', 'twist_class_level': 4608, 'twisting_char_label': '48.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 47732625
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 2303, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58547138786759168, 'source_is_minimal': False, 'source_label': '4608.2.f.n.2303.3', 'source_level': 4608, 'target_conrey_index': 4607, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 76561331137810944, 'target_is_minimal': True, 'target_label': '4608.2.c.r.4607.5', 'target_level': 4608, 'twist_class_label': '4608.2.c.q.4607.3', 'twist_class_level': 4608, 'twisting_char_label': '48.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 47732626
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 2303, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58547138786759168, 'source_is_minimal': False, 'source_label': '4608.2.f.n.2303.3', 'source_level': 4608, 'target_conrey_index': 4607, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 72057731510440448, 'target_is_minimal': True, 'target_label': '4608.2.c.q.4607.4', 'target_level': 4608, 'twist_class_label': '4608.2.c.q.4607.3', 'twist_class_level': 4608, 'twisting_char_label': '48.29', 'twisting_conrey_index': 29, 'weight': 2}
  • id: 47732627
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 2303, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58547138786759168, 'source_is_minimal': False, 'source_label': '4608.2.f.n.2303.3', 'source_level': 4608, 'target_conrey_index': 4607, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 76561331137810944, 'target_is_minimal': True, 'target_label': '4608.2.c.r.4607.3', 'target_level': 4608, 'twist_class_label': '4608.2.c.q.4607.3', 'twist_class_level': 4608, '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: 3651525
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 58547138786759168, 'p': 2}
  • id: 3651526
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 58547138786759168, 'p': 3}
  • id: 3651527
    {'charpoly_factorization': [[[32, 0, -16, 0, 1], 2]], 'hecke_orbit_code': 58547138786759168, 'p': 5}
  • id: 3651528
    {'charpoly_factorization': [[[4, 0, 12, 0, 1], 2]], 'hecke_orbit_code': 58547138786759168, 'p': 7}
  • id: 3651529
    {'charpoly_factorization': [[[128, 0, 32, 0, 1], 2]], 'hecke_orbit_code': 58547138786759168, 'p': 11}
  • id: 3651530
    {'charpoly_factorization': [[[128, 0, 32, 0, 1], 2]], 'hecke_orbit_code': 58547138786759168, 'p': 13}
  • id: 3651531
    {'charpoly_factorization': [[[2, 0, 1], 4]], 'hecke_orbit_code': 58547138786759168, 'p': 17}
  • id: 3651532
    {'charpoly_factorization': [[[512, 0, -64, 0, 1], 2]], 'hecke_orbit_code': 58547138786759168, 'p': 19}
  • id: 3651533
    {'charpoly_factorization': [[[-4, 4, 1], 4]], 'hecke_orbit_code': 58547138786759168, 'p': 23}
  • id: 3651534
    {'charpoly_factorization': [[[1568, 0, -80, 0, 1], 2]], 'hecke_orbit_code': 58547138786759168, 'p': 29}
  • id: 3651535
    {'charpoly_factorization': [[[196, 0, 44, 0, 1], 2]], 'hecke_orbit_code': 58547138786759168, 'p': 31}
  • id: 3651536
    {'charpoly_factorization': [[[512, 0, 64, 0, 1], 2]], 'hecke_orbit_code': 58547138786759168, 'p': 37}
  • id: 3651537
    {'charpoly_factorization': [[[2116, 0, 164, 0, 1], 2]], 'hecke_orbit_code': 58547138786759168, 'p': 41}
  • id: 3651538
    {'charpoly_factorization': [[[2048, 0, -128, 0, 1], 2]], 'hecke_orbit_code': 58547138786759168, 'p': 43}
  • id: 3651539
    {'charpoly_factorization': [[[28, -12, 1], 4]], 'hecke_orbit_code': 58547138786759168, 'p': 47}
  • id: 3651540
    {'charpoly_factorization': [[[1568, 0, -80, 0, 1], 2]], 'hecke_orbit_code': 58547138786759168, 'p': 53}
  • id: 3651541
    {'charpoly_factorization': [[[2048, 0, 128, 0, 1], 2]], 'hecke_orbit_code': 58547138786759168, 'p': 59}
  • id: 3651542
    {'charpoly_factorization': [[[512, 0, 64, 0, 1], 2]], 'hecke_orbit_code': 58547138786759168, 'p': 61}
  • id: 3651543
    {'charpoly_factorization': [[[25088, 0, -320, 0, 1], 2]], 'hecke_orbit_code': 58547138786759168, 'p': 67}
  • id: 3651544
    {'charpoly_factorization': [[[-68, -4, 1], 4]], 'hecke_orbit_code': 58547138786759168, 'p': 71}
  • id: 3651545
    {'charpoly_factorization': [[[-28, 4, 1], 4]], 'hecke_orbit_code': 58547138786759168, 'p': 73}
  • id: 3651546
    {'charpoly_factorization': [[[2500, 0, 300, 0, 1], 2]], 'hecke_orbit_code': 58547138786759168, 'p': 79}
  • id: 3651547
    {'charpoly_factorization': [[[6272, 0, 160, 0, 1], 2]], 'hecke_orbit_code': 58547138786759168, 'p': 83}
  • id: 3651548
    {'charpoly_factorization': [[[50, 0, 1], 4]], 'hecke_orbit_code': 58547138786759168, 'p': 89}
  • id: 3651549
    {'charpoly_factorization': [[[-128, 0, 1], 4]], 'hecke_orbit_code': 58547138786759168, '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': 6, 'hecke_orbit': 14, 'label': '4608.2.f.n', 'level': 4608, '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: 59279863
    {'hecke_orbit_code': 58547138786759168, 'n': 1, 'trace_an': 8}
  • id: 59279864
    {'hecke_orbit_code': 58547138786759168, 'n': 2, 'trace_an': 0}
  • id: 59279865
    {'hecke_orbit_code': 58547138786759168, 'n': 3, 'trace_an': 0}
  • id: 59279866
    {'hecke_orbit_code': 58547138786759168, 'n': 4, 'trace_an': 0}
  • id: 59279867
    {'hecke_orbit_code': 58547138786759168, 'n': 5, 'trace_an': 0}
  • id: 59279868
    {'hecke_orbit_code': 58547138786759168, 'n': 6, 'trace_an': 0}
  • id: 59279869
    {'hecke_orbit_code': 58547138786759168, 'n': 7, 'trace_an': 0}
  • id: 59279870
    {'hecke_orbit_code': 58547138786759168, 'n': 8, 'trace_an': 0}
  • id: 59279871
    {'hecke_orbit_code': 58547138786759168, 'n': 9, 'trace_an': 0}
  • id: 59279872
    {'hecke_orbit_code': 58547138786759168, 'n': 10, 'trace_an': 0}
  • id: 59279873
    {'hecke_orbit_code': 58547138786759168, 'n': 11, 'trace_an': 0}
  • id: 59279874
    {'hecke_orbit_code': 58547138786759168, 'n': 12, 'trace_an': 0}
  • id: 59279875
    {'hecke_orbit_code': 58547138786759168, 'n': 13, 'trace_an': 0}
  • id: 59279876
    {'hecke_orbit_code': 58547138786759168, 'n': 14, 'trace_an': 0}
  • id: 59279877
    {'hecke_orbit_code': 58547138786759168, 'n': 15, 'trace_an': 0}
  • id: 59279878
    {'hecke_orbit_code': 58547138786759168, 'n': 16, 'trace_an': 0}
  • id: 59279879
    {'hecke_orbit_code': 58547138786759168, 'n': 17, 'trace_an': 0}
  • id: 59279880
    {'hecke_orbit_code': 58547138786759168, 'n': 18, 'trace_an': 0}
  • id: 59279881
    {'hecke_orbit_code': 58547138786759168, 'n': 19, 'trace_an': 0}
  • id: 59279882
    {'hecke_orbit_code': 58547138786759168, 'n': 20, 'trace_an': 0}
  • id: 59279883
    {'hecke_orbit_code': 58547138786759168, 'n': 21, 'trace_an': 0}
  • id: 59279884
    {'hecke_orbit_code': 58547138786759168, 'n': 22, 'trace_an': 0}
  • id: 59279885
    {'hecke_orbit_code': 58547138786759168, 'n': 23, 'trace_an': -16}
  • id: 59279886
    {'hecke_orbit_code': 58547138786759168, 'n': 24, 'trace_an': 0}
  • id: 59279887
    {'hecke_orbit_code': 58547138786759168, 'n': 25, 'trace_an': 24}
  • id: 59279888
    {'hecke_orbit_code': 58547138786759168, 'n': 26, 'trace_an': 0}
  • id: 59279889
    {'hecke_orbit_code': 58547138786759168, 'n': 27, 'trace_an': 0}
  • id: 59279890
    {'hecke_orbit_code': 58547138786759168, 'n': 28, 'trace_an': 0}
  • id: 59279891
    {'hecke_orbit_code': 58547138786759168, 'n': 29, 'trace_an': 0}
  • id: 59279892
    {'hecke_orbit_code': 58547138786759168, 'n': 30, 'trace_an': 0}
  • id: 59279893
    {'hecke_orbit_code': 58547138786759168, 'n': 31, 'trace_an': 0}
  • id: 59279894
    {'hecke_orbit_code': 58547138786759168, 'n': 32, 'trace_an': 0}
  • id: 59279895
    {'hecke_orbit_code': 58547138786759168, 'n': 33, 'trace_an': 0}
  • id: 59279896
    {'hecke_orbit_code': 58547138786759168, 'n': 34, 'trace_an': 0}
  • id: 59279897
    {'hecke_orbit_code': 58547138786759168, 'n': 35, 'trace_an': 0}
  • id: 59279898
    {'hecke_orbit_code': 58547138786759168, 'n': 36, 'trace_an': 0}
  • id: 59279899
    {'hecke_orbit_code': 58547138786759168, 'n': 37, 'trace_an': 0}
  • id: 59279900
    {'hecke_orbit_code': 58547138786759168, 'n': 38, 'trace_an': 0}
  • id: 59279901
    {'hecke_orbit_code': 58547138786759168, 'n': 39, 'trace_an': 0}
  • id: 59279902
    {'hecke_orbit_code': 58547138786759168, 'n': 40, 'trace_an': 0}
  • id: 59279903
    {'hecke_orbit_code': 58547138786759168, 'n': 41, 'trace_an': 0}
  • id: 59279904
    {'hecke_orbit_code': 58547138786759168, 'n': 42, 'trace_an': 0}
  • id: 59279905
    {'hecke_orbit_code': 58547138786759168, 'n': 43, 'trace_an': 0}
  • id: 59279906
    {'hecke_orbit_code': 58547138786759168, 'n': 44, 'trace_an': 0}
  • id: 59279907
    {'hecke_orbit_code': 58547138786759168, 'n': 45, 'trace_an': 0}
  • id: 59279908
    {'hecke_orbit_code': 58547138786759168, 'n': 46, 'trace_an': 0}
  • id: 59279909
    {'hecke_orbit_code': 58547138786759168, 'n': 47, 'trace_an': 48}
  • id: 59279910
    {'hecke_orbit_code': 58547138786759168, 'n': 48, 'trace_an': 0}
  • id: 59279911
    {'hecke_orbit_code': 58547138786759168, 'n': 49, 'trace_an': 8}
  • id: 59279912
    {'hecke_orbit_code': 58547138786759168, 'n': 50, 'trace_an': 0}
  • id: 59279913
    {'hecke_orbit_code': 58547138786759168, 'n': 51, 'trace_an': 0}
  • id: 59279914
    {'hecke_orbit_code': 58547138786759168, 'n': 52, 'trace_an': 0}
  • id: 59279915
    {'hecke_orbit_code': 58547138786759168, 'n': 53, 'trace_an': 0}
  • id: 59279916
    {'hecke_orbit_code': 58547138786759168, 'n': 54, 'trace_an': 0}
  • id: 59279917
    {'hecke_orbit_code': 58547138786759168, 'n': 55, 'trace_an': 0}
  • id: 59279918
    {'hecke_orbit_code': 58547138786759168, 'n': 56, 'trace_an': 0}
  • id: 59279919
    {'hecke_orbit_code': 58547138786759168, 'n': 57, 'trace_an': 0}
  • id: 59279920
    {'hecke_orbit_code': 58547138786759168, 'n': 58, 'trace_an': 0}
  • id: 59279921
    {'hecke_orbit_code': 58547138786759168, 'n': 59, 'trace_an': 0}
  • id: 59279922
    {'hecke_orbit_code': 58547138786759168, 'n': 60, 'trace_an': 0}
  • id: 59279923
    {'hecke_orbit_code': 58547138786759168, 'n': 61, 'trace_an': 0}
  • id: 59279924
    {'hecke_orbit_code': 58547138786759168, 'n': 62, 'trace_an': 0}
  • id: 59279925
    {'hecke_orbit_code': 58547138786759168, 'n': 63, 'trace_an': 0}
  • id: 59279926
    {'hecke_orbit_code': 58547138786759168, 'n': 64, 'trace_an': 0}
  • id: 59279927
    {'hecke_orbit_code': 58547138786759168, 'n': 65, 'trace_an': 0}
  • id: 59279928
    {'hecke_orbit_code': 58547138786759168, 'n': 66, 'trace_an': 0}
  • id: 59279929
    {'hecke_orbit_code': 58547138786759168, 'n': 67, 'trace_an': 0}
  • id: 59279930
    {'hecke_orbit_code': 58547138786759168, 'n': 68, 'trace_an': 0}
  • id: 59279931
    {'hecke_orbit_code': 58547138786759168, 'n': 69, 'trace_an': 0}
  • id: 59279932
    {'hecke_orbit_code': 58547138786759168, 'n': 70, 'trace_an': 0}
  • id: 59279933
    {'hecke_orbit_code': 58547138786759168, 'n': 71, 'trace_an': 16}
  • id: 59279934
    {'hecke_orbit_code': 58547138786759168, 'n': 72, 'trace_an': 0}
  • id: 59279935
    {'hecke_orbit_code': 58547138786759168, 'n': 73, 'trace_an': -16}
  • id: 59279936
    {'hecke_orbit_code': 58547138786759168, 'n': 74, 'trace_an': 0}
  • id: 59279937
    {'hecke_orbit_code': 58547138786759168, 'n': 75, 'trace_an': 0}
  • id: 59279938
    {'hecke_orbit_code': 58547138786759168, 'n': 76, 'trace_an': 0}
  • id: 59279939
    {'hecke_orbit_code': 58547138786759168, 'n': 77, 'trace_an': 0}
  • id: 59279940
    {'hecke_orbit_code': 58547138786759168, 'n': 78, 'trace_an': 0}
  • id: 59279941
    {'hecke_orbit_code': 58547138786759168, 'n': 79, 'trace_an': 0}
  • id: 59279942
    {'hecke_orbit_code': 58547138786759168, 'n': 80, 'trace_an': 0}
  • id: 59279943
    {'hecke_orbit_code': 58547138786759168, 'n': 81, 'trace_an': 0}
  • id: 59279944
    {'hecke_orbit_code': 58547138786759168, 'n': 82, 'trace_an': 0}
  • id: 59279945
    {'hecke_orbit_code': 58547138786759168, 'n': 83, 'trace_an': 0}
  • id: 59279946
    {'hecke_orbit_code': 58547138786759168, 'n': 84, 'trace_an': 0}
  • id: 59279947
    {'hecke_orbit_code': 58547138786759168, 'n': 85, 'trace_an': 0}
  • id: 59279948
    {'hecke_orbit_code': 58547138786759168, 'n': 86, 'trace_an': 0}
  • id: 59279949
    {'hecke_orbit_code': 58547138786759168, 'n': 87, 'trace_an': 0}
  • id: 59279950
    {'hecke_orbit_code': 58547138786759168, 'n': 88, 'trace_an': 0}
  • id: 59279951
    {'hecke_orbit_code': 58547138786759168, 'n': 89, 'trace_an': 0}
  • id: 59279952
    {'hecke_orbit_code': 58547138786759168, 'n': 90, 'trace_an': 0}
  • id: 59279953
    {'hecke_orbit_code': 58547138786759168, 'n': 91, 'trace_an': 0}
  • id: 59279954
    {'hecke_orbit_code': 58547138786759168, 'n': 92, 'trace_an': 0}
  • id: 59279955
    {'hecke_orbit_code': 58547138786759168, 'n': 93, 'trace_an': 0}
  • id: 59279956
    {'hecke_orbit_code': 58547138786759168, 'n': 94, 'trace_an': 0}
  • id: 59279957
    {'hecke_orbit_code': 58547138786759168, 'n': 95, 'trace_an': -128}
  • id: 59279958
    {'hecke_orbit_code': 58547138786759168, 'n': 96, 'trace_an': 0}
  • id: 59279959
    {'hecke_orbit_code': 58547138786759168, 'n': 97, 'trace_an': 0}
  • id: 59279960
    {'hecke_orbit_code': 58547138786759168, 'n': 98, 'trace_an': 0}
  • id: 59279961
    {'hecke_orbit_code': 58547138786759168, 'n': 99, 'trace_an': 0}
  • id: 59279962
    {'hecke_orbit_code': 58547138786759168, 'n': 100, 'trace_an': 0}