Embedded newform data - 1584.2.o.e.703.2

Formats: - HTML - YAML - JSON - 2026-07-20T06:17:13.546237

• 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': 6336, 'analytic_conductor': 12.648303680170812, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 44, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 15, 'char_orbit_label': 'o', 'char_order': 2, 'char_parity': 1, 'char_values': [1584, 2, [991, 1189, 353, 145], [1, 2, 2, 1]], 'cm_discs': [-11], 'conrey_index': 703, 'dim': 4, 'field_disc': 1089, 'field_disc_factorization': [[3, 2], [11, 2]], 'field_poly': [9, -3, -2, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [-6, -3, 1]], [83, [0, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18015360615712304, 'hecke_ring_generator_nbound': 23, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 11, 2, -1, 2, -11], [1, 1, 44, 3, 1, 2, 0], [1, 1, 4, 2, -1, 2, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '1584.2.o.e', 'level': 1584, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 11], 'level_radical': 66, 'minimal_twist': '176.2.e.b', 'nf_label': '4.0.1089.1', 'prim_orbit_index': 3, 'qexp_display': 'q+(1+\\beta _{3})q^{5}+(2\\beta _{1}-\\beta _{2})q^{11}+(\\beta _{1}+\\cdots)q^{23}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.1.d2', 'self_twist_discs': [-11], 'self_twist_type': 1, 'space_label': '1584.2.o', 'trace_display': [0, 0, 6, 0], 'trace_hash': 2169177433096113000, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.581', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '118.152', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5458.852', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.756', 'prec': 17}, 'traces': [4, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 34, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -46, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 50, 0, 0, 0, 78, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -38, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 58, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 138, 0, 0, 0, 78, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 150, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -90, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, -162, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -94, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -90, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 102, 0, 0, 0, 0, 0, 0, 0, 26, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -222, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -38, 0, 0, 0, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, -110, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 58, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 116, 0, 0, 0, 78, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 174, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 220, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, -50, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -118, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -282, 0, 0, 0, 0, 0, 0, 0, 122, 0, 0, 0, 0, 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, -138, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -154, 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, 0, 0, 0, 0, 0, 0, -330, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -114, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -90, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 106, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 394, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 198, 0, 0, 0, 78, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 150, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 102, 0, 0, 0, 0, 0, 0, 0, -62, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -118, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 318, 0, 0, 0, 0, 0, 0, 0, 122, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -354, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -150, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 164, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 312, 0, 0, 0, 0, 0, 0, 0, 66, 0, 0, 0, -162, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -134, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -390, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -114, 0, 0, 0, 0, 0, 0, 0, 98, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -258, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -172, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -318, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, -110, 0, 0, 0, -162, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], '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], [-0.613702864616576, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.279426979253822], [0.0, 0.0], [-0.6233687939614087, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.6712388668197249], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.991996877973303, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.9675588936937934], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8241633836921342, 0.0], [0.0, 0.0], [0.0, -0.613702864616576], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.9070974478005513], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.9832092625883664], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.2923622864985949], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.9993051027263709, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.011863707666256947, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, None, -0.29963773677398164, -0.25, None, 0.0, 0.0, -0.25, -0.3895265042788742, 0.0, 0.1574455361884771, -0.4857572195841133, 0.0, -0.25, -0.41963184445020585, -0.31759908521341196, 0.20129993009594557, 0.0, 0.22936239367299324, 0.11181747611622883, 0.0, -0.25, -0.25, -0.49580441029666455, -0.25094408939589113, 0.0, -0.28157064017587025, -0.25, 0.0, -0.3582634728282273, -0.25, -0.25, -0.06288080073652774, -0.25, 0.0, -0.25, -0.3983151806274696, 0.14222129330815886, -0.25, 0.0, -0.4397143957338686, -0.22695085286933073, 0.00796202822743815, 0.0, 0.0, -0.37539988847469, -0.25, -0.42199656449685763, -0.25, -0.05691910218837275, 0.0, -0.25, 0.0, 0.24567272009184188, -0.34486941457745773, -0.25, -0.4337338564228124, -0.25, 0.0, 0.0, -0.25, 0.0, -0.25, -0.30525225992935856, -0.1735492488085028, -0.05363581397668248, -0.37741528729876966, 0.0, -0.25, 0.0, -0.12182686426262969, -0.25, 0.2084767926067064, 0.0, 0.027631208725835833, 0.18016898001214407, -0.021249710525298685, -0.25799111481068715, -0.11525170669582088, 0.0, 0.15030410305307212, -0.28917816643363053, -0.25, -0.039369076344258985, -0.25, -0.33354091233718247, -0.23065444547570757, 0.0, 0.0, -0.2886581622444638, 0.09438944218053688, -0.25, -0.3695236480574006, -0.25, 0.07347237935681837, -0.25, -0.3450423231562549, -0.3633814763707817, -0.25, 0.0], 'char_orbit_index': 15, 'conrey_index': 703, 'dual_conrey_index': 703, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': -1.2621688994810694, 'embedding_root_real': -1.1861406616345072, 'hecke_orbit': 5, 'hecke_orbit_code': 18015360615712304, 'label': '1584.2.o.e.703.2', 'level': 1584, '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': 6336, 'analytic_conductor': 12.648303680170812, 'char_conductor': 44, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 15, 'char_orbit_label': 'o', 'char_order': 2, 'char_parity': 1, 'char_values': [1584, 2, [991, 1189, 353, 145], [1, 2, 2, 1]], 'conrey_index': 703, 'cusp_dim': 264, 'dim': 30, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 83], 'hecke_orbit_code': 962106230320, 'hecke_orbit_dims': [2, 4, 4, 4, 4, 4, 8], 'label': '1584.2.o', 'level': 1584, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 11], 'level_radical': 66, 'mf_dim': 312, 'mf_new_dim': 30, 'num_forms': 7, 'prim_orbit_index': 3, 'relative_dim': 30, 'sturm_bound': 576, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 24, 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, -42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 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, -48, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, -96, 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, -120, 0, 0, 0, 0, 0, 0, 0, -90, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 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, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 96, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -276, 0, 0, 0, 0, 0, 0, 0, -114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 276, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, -108, 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, 144, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, -300, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -138, 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, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 324, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 156, 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, 174, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 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], '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: 44537517
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 703, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18015360615712304, 'target_is_minimal': False, 'target_label': '1584.2.o.e.703.2', 'target_level': 1584, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 44537518
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 175, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503874538832048, 'target_is_minimal': True, 'target_label': '176.2.e.b.175.2', 'target_level': 176, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 44537519
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 703, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18015360615712304, 'target_is_minimal': False, 'target_label': '1584.2.o.e.703.1', 'target_level': 1584, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 44537520
    {'conductor': 11, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 703, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18015360615712304, 'target_is_minimal': False, 'target_label': '1584.2.o.e.703.2', 'target_level': 1584, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '11.10', 'twisting_conrey_index': 10, 'weight': 2}
  • id: 44537521
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 175, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4503874538832048, 'target_is_minimal': True, 'target_label': '176.2.e.b.175.3', 'target_level': 176, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 44537522
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 703, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007474166203072, 'target_is_minimal': False, 'target_label': '704.2.e.c.703.3', 'target_level': 704, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 44537523
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 703, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007474166203072, 'target_is_minimal': False, 'target_label': '704.2.e.c.703.2', 'target_level': 704, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 44537524
    {'conductor': 33, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 175, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503874538832048, 'target_is_minimal': True, 'target_label': '176.2.e.b.175.2', 'target_level': 176, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '33.32', 'twisting_conrey_index': 32, 'weight': 2}
  • id: 44537525
    {'conductor': 44, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 703, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18015360615712304, 'target_is_minimal': False, 'target_label': '1584.2.o.e.703.1', 'target_level': 1584, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '44.43', 'twisting_conrey_index': 43, 'weight': 2}
  • id: 44537526
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 1407, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007611605158656, 'target_is_minimal': False, 'target_label': '2816.2.g.c.1407.4', 'target_level': 2816, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '48.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 44537527
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 1407, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 9007611605158656, 'target_is_minimal': False, 'target_label': '2816.2.g.c.1407.6', 'target_level': 2816, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '48.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 44537528
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 1407, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 9007611605158656, 'target_is_minimal': False, 'target_label': '2816.2.g.c.1407.5', 'target_level': 2816, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '48.29', 'twisting_conrey_index': 29, 'weight': 2}
  • id: 44537529
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 1407, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007611605158656, 'target_is_minimal': False, 'target_label': '2816.2.g.c.1407.3', 'target_level': 2816, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '48.35', 'twisting_conrey_index': 35, 'weight': 2}
  • id: 44537530
    {'conductor': 132, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 175, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4503874538832048, 'target_is_minimal': True, 'target_label': '176.2.e.b.175.3', 'target_level': 176, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '132.131', 'twisting_conrey_index': 131, 'weight': 2}
  • id: 44537531
    {'conductor': 264, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 703, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007474166203072, 'target_is_minimal': False, 'target_label': '704.2.e.c.703.2', 'target_level': 704, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '264.131', 'twisting_conrey_index': 131, 'weight': 2}
  • id: 44537532
    {'conductor': 264, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 703, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007474166203072, 'target_is_minimal': False, 'target_label': '704.2.e.c.703.3', 'target_level': 704, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '264.197', 'twisting_conrey_index': 197, 'weight': 2}
  • id: 44537533
    {'conductor': 528, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 1407, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007611605158656, 'target_is_minimal': False, 'target_label': '2816.2.g.c.1407.3', 'target_level': 2816, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '528.131', 'twisting_conrey_index': 131, 'weight': 2}
  • id: 44537534
    {'conductor': 528, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 1407, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007611605158656, 'target_is_minimal': False, 'target_label': '2816.2.g.c.1407.4', 'target_level': 2816, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '528.197', 'twisting_conrey_index': 197, 'weight': 2}
  • id: 44537535
    {'conductor': 528, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 1407, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 9007611605158656, 'target_is_minimal': False, 'target_label': '2816.2.g.c.1407.6', 'target_level': 2816, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '528.395', 'twisting_conrey_index': 395, 'weight': 2}
  • id: 44537536
    {'conductor': 528, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 703, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18015360615712304, 'source_is_minimal': False, 'source_label': '1584.2.o.e.703.2', 'source_level': 1584, 'target_conrey_index': 1407, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 9007611605158656, 'target_is_minimal': False, 'target_label': '2816.2.g.c.1407.5', 'target_level': 2816, 'twist_class_label': '176.2.e.b.175.2', 'twist_class_level': 176, 'twisting_char_label': '528.461', 'twisting_conrey_index': 461, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2055150
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 18015360615712304, 'p': 2}
  • id: 2055151
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 18015360615712304, 'p': 3}
  • id: 2055152
    {'charpoly_factorization': [[[-6, -3, 1], 2]], 'hecke_orbit_code': 18015360615712304, 'p': 5}
  • id: 2055153
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 18015360615712304, 'p': 7}
  • id: 2055154
    {'charpoly_factorization': [[[11, 0, 1], 2]], 'hecke_orbit_code': 18015360615712304, 'p': 11}
  • id: 2055155
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 18015360615712304, 'p': 13}
  • id: 2055156
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 18015360615712304, 'p': 17}
  • id: 2055157
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 18015360615712304, 'p': 19}
  • id: 2055158
    {'charpoly_factorization': [[[3364, 0, 127, 0, 1], 1]], 'hecke_orbit_code': 18015360615712304, 'p': 23}
  • id: 2055159
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 18015360615712304, 'p': 29}
  • id: 2055160
    {'charpoly_factorization': [[[36, 0, 87, 0, 1], 1]], 'hecke_orbit_code': 18015360615712304, 'p': 31}
  • id: 2055161
    {'charpoly_factorization': [[[-62, 7, 1], 2]], 'hecke_orbit_code': 18015360615712304, 'p': 37}
  • id: 2055162
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 18015360615712304, 'p': 41}
  • id: 2055163
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 18015360615712304, 'p': 43}
  • id: 2055164
    {'charpoly_factorization': [[[44, 0, 1], 2]], 'hecke_orbit_code': 18015360615712304, 'p': 47}
  • id: 2055165
    {'charpoly_factorization': [[[6, 1], 4]], 'hecke_orbit_code': 18015360615712304, 'p': 53}
  • id: 2055166
    {'charpoly_factorization': [[[27556, 0, 343, 0, 1], 1]], 'hecke_orbit_code': 18015360615712304, 'p': 59}
  • id: 2055167
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 18015360615712304, 'p': 61}
  • id: 2055168
    {'charpoly_factorization': [[[10404, 0, 303, 0, 1], 1]], 'hecke_orbit_code': 18015360615712304, 'p': 67}
  • id: 2055169
    {'charpoly_factorization': [[[3844, 0, 151, 0, 1], 1]], 'hecke_orbit_code': 18015360615712304, 'p': 71}
  • id: 2055170
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 18015360615712304, 'p': 73}
  • id: 2055171
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 18015360615712304, 'p': 79}
  • id: 2055172
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 18015360615712304, 'p': 83}
  • id: 2055173
    {'charpoly_factorization': [[[-186, 9, 1], 2]], 'hecke_orbit_code': 18015360615712304, 'p': 89}
  • id: 2055174
    {'charpoly_factorization': [[[-2, -17, 1], 2]], 'hecke_orbit_code': 18015360615712304, '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': 15, 'hecke_orbit': 5, 'label': '1584.2.o.e', 'level': 1584, '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: 41451289
    {'hecke_orbit_code': 18015360615712304, 'n': 1, 'trace_an': 4}
  • id: 41451290
    {'hecke_orbit_code': 18015360615712304, 'n': 2, 'trace_an': 0}
  • id: 41451291
    {'hecke_orbit_code': 18015360615712304, 'n': 3, 'trace_an': 0}
  • id: 41451292
    {'hecke_orbit_code': 18015360615712304, 'n': 4, 'trace_an': 0}
  • id: 41451293
    {'hecke_orbit_code': 18015360615712304, 'n': 5, 'trace_an': 6}
  • id: 41451294
    {'hecke_orbit_code': 18015360615712304, 'n': 6, 'trace_an': 0}
  • id: 41451295
    {'hecke_orbit_code': 18015360615712304, 'n': 7, 'trace_an': 0}
  • id: 41451296
    {'hecke_orbit_code': 18015360615712304, 'n': 8, 'trace_an': 0}
  • id: 41451297
    {'hecke_orbit_code': 18015360615712304, 'n': 9, 'trace_an': 0}
  • id: 41451298
    {'hecke_orbit_code': 18015360615712304, 'n': 10, 'trace_an': 0}
  • id: 41451299
    {'hecke_orbit_code': 18015360615712304, 'n': 11, 'trace_an': 0}
  • id: 41451300
    {'hecke_orbit_code': 18015360615712304, 'n': 12, 'trace_an': 0}
  • id: 41451301
    {'hecke_orbit_code': 18015360615712304, 'n': 13, 'trace_an': 0}
  • id: 41451302
    {'hecke_orbit_code': 18015360615712304, 'n': 14, 'trace_an': 0}
  • id: 41451303
    {'hecke_orbit_code': 18015360615712304, 'n': 15, 'trace_an': 0}
  • id: 41451304
    {'hecke_orbit_code': 18015360615712304, 'n': 16, 'trace_an': 0}
  • id: 41451305
    {'hecke_orbit_code': 18015360615712304, 'n': 17, 'trace_an': 0}
  • id: 41451306
    {'hecke_orbit_code': 18015360615712304, 'n': 18, 'trace_an': 0}
  • id: 41451307
    {'hecke_orbit_code': 18015360615712304, 'n': 19, 'trace_an': 0}
  • id: 41451308
    {'hecke_orbit_code': 18015360615712304, 'n': 20, 'trace_an': 0}
  • id: 41451309
    {'hecke_orbit_code': 18015360615712304, 'n': 21, 'trace_an': 0}
  • id: 41451310
    {'hecke_orbit_code': 18015360615712304, 'n': 22, 'trace_an': 0}
  • id: 41451311
    {'hecke_orbit_code': 18015360615712304, 'n': 23, 'trace_an': 0}
  • id: 41451312
    {'hecke_orbit_code': 18015360615712304, 'n': 24, 'trace_an': 0}
  • id: 41451313
    {'hecke_orbit_code': 18015360615712304, 'n': 25, 'trace_an': 22}
  • id: 41451314
    {'hecke_orbit_code': 18015360615712304, 'n': 26, 'trace_an': 0}
  • id: 41451315
    {'hecke_orbit_code': 18015360615712304, 'n': 27, 'trace_an': 0}
  • id: 41451316
    {'hecke_orbit_code': 18015360615712304, 'n': 28, 'trace_an': 0}
  • id: 41451317
    {'hecke_orbit_code': 18015360615712304, 'n': 29, 'trace_an': 0}
  • id: 41451318
    {'hecke_orbit_code': 18015360615712304, 'n': 30, 'trace_an': 0}
  • id: 41451319
    {'hecke_orbit_code': 18015360615712304, 'n': 31, 'trace_an': 0}
  • id: 41451320
    {'hecke_orbit_code': 18015360615712304, 'n': 32, 'trace_an': 0}
  • id: 41451321
    {'hecke_orbit_code': 18015360615712304, 'n': 33, 'trace_an': 0}
  • id: 41451322
    {'hecke_orbit_code': 18015360615712304, 'n': 34, 'trace_an': 0}
  • id: 41451323
    {'hecke_orbit_code': 18015360615712304, 'n': 35, 'trace_an': 0}
  • id: 41451324
    {'hecke_orbit_code': 18015360615712304, 'n': 36, 'trace_an': 0}
  • id: 41451325
    {'hecke_orbit_code': 18015360615712304, 'n': 37, 'trace_an': -14}
  • id: 41451326
    {'hecke_orbit_code': 18015360615712304, 'n': 38, 'trace_an': 0}
  • id: 41451327
    {'hecke_orbit_code': 18015360615712304, 'n': 39, 'trace_an': 0}
  • id: 41451328
    {'hecke_orbit_code': 18015360615712304, 'n': 40, 'trace_an': 0}
  • id: 41451329
    {'hecke_orbit_code': 18015360615712304, 'n': 41, 'trace_an': 0}
  • id: 41451330
    {'hecke_orbit_code': 18015360615712304, 'n': 42, 'trace_an': 0}
  • id: 41451331
    {'hecke_orbit_code': 18015360615712304, 'n': 43, 'trace_an': 0}
  • id: 41451332
    {'hecke_orbit_code': 18015360615712304, 'n': 44, 'trace_an': 0}
  • id: 41451333
    {'hecke_orbit_code': 18015360615712304, 'n': 45, 'trace_an': 0}
  • id: 41451334
    {'hecke_orbit_code': 18015360615712304, 'n': 46, 'trace_an': 0}
  • id: 41451335
    {'hecke_orbit_code': 18015360615712304, 'n': 47, 'trace_an': 0}
  • id: 41451336
    {'hecke_orbit_code': 18015360615712304, 'n': 48, 'trace_an': 0}
  • id: 41451337
    {'hecke_orbit_code': 18015360615712304, 'n': 49, 'trace_an': -28}
  • id: 41451338
    {'hecke_orbit_code': 18015360615712304, 'n': 50, 'trace_an': 0}
  • id: 41451339
    {'hecke_orbit_code': 18015360615712304, 'n': 51, 'trace_an': 0}
  • id: 41451340
    {'hecke_orbit_code': 18015360615712304, 'n': 52, 'trace_an': 0}
  • id: 41451341
    {'hecke_orbit_code': 18015360615712304, 'n': 53, 'trace_an': -24}
  • id: 41451342
    {'hecke_orbit_code': 18015360615712304, 'n': 54, 'trace_an': 0}
  • id: 41451343
    {'hecke_orbit_code': 18015360615712304, 'n': 55, 'trace_an': 0}
  • id: 41451344
    {'hecke_orbit_code': 18015360615712304, 'n': 56, 'trace_an': 0}
  • id: 41451345
    {'hecke_orbit_code': 18015360615712304, 'n': 57, 'trace_an': 0}
  • id: 41451346
    {'hecke_orbit_code': 18015360615712304, 'n': 58, 'trace_an': 0}
  • id: 41451347
    {'hecke_orbit_code': 18015360615712304, 'n': 59, 'trace_an': 0}
  • id: 41451348
    {'hecke_orbit_code': 18015360615712304, 'n': 60, 'trace_an': 0}
  • id: 41451349
    {'hecke_orbit_code': 18015360615712304, 'n': 61, 'trace_an': 0}
  • id: 41451350
    {'hecke_orbit_code': 18015360615712304, 'n': 62, 'trace_an': 0}
  • id: 41451351
    {'hecke_orbit_code': 18015360615712304, 'n': 63, 'trace_an': 0}
  • id: 41451352
    {'hecke_orbit_code': 18015360615712304, 'n': 64, 'trace_an': 0}
  • id: 41451353
    {'hecke_orbit_code': 18015360615712304, 'n': 65, 'trace_an': 0}
  • id: 41451354
    {'hecke_orbit_code': 18015360615712304, 'n': 66, 'trace_an': 0}
  • id: 41451355
    {'hecke_orbit_code': 18015360615712304, 'n': 67, 'trace_an': 0}
  • id: 41451356
    {'hecke_orbit_code': 18015360615712304, 'n': 68, 'trace_an': 0}
  • id: 41451357
    {'hecke_orbit_code': 18015360615712304, 'n': 69, 'trace_an': 0}
  • id: 41451358
    {'hecke_orbit_code': 18015360615712304, 'n': 70, 'trace_an': 0}
  • id: 41451359
    {'hecke_orbit_code': 18015360615712304, 'n': 71, 'trace_an': 0}
  • id: 41451360
    {'hecke_orbit_code': 18015360615712304, 'n': 72, 'trace_an': 0}
  • id: 41451361
    {'hecke_orbit_code': 18015360615712304, 'n': 73, 'trace_an': 0}
  • id: 41451362
    {'hecke_orbit_code': 18015360615712304, 'n': 74, 'trace_an': 0}
  • id: 41451363
    {'hecke_orbit_code': 18015360615712304, 'n': 75, 'trace_an': 0}
  • id: 41451364
    {'hecke_orbit_code': 18015360615712304, 'n': 76, 'trace_an': 0}
  • id: 41451365
    {'hecke_orbit_code': 18015360615712304, 'n': 77, 'trace_an': 0}
  • id: 41451366
    {'hecke_orbit_code': 18015360615712304, 'n': 78, 'trace_an': 0}
  • id: 41451367
    {'hecke_orbit_code': 18015360615712304, 'n': 79, 'trace_an': 0}
  • id: 41451368
    {'hecke_orbit_code': 18015360615712304, 'n': 80, 'trace_an': 0}
  • id: 41451369
    {'hecke_orbit_code': 18015360615712304, 'n': 81, 'trace_an': 0}
  • id: 41451370
    {'hecke_orbit_code': 18015360615712304, 'n': 82, 'trace_an': 0}
  • id: 41451371
    {'hecke_orbit_code': 18015360615712304, 'n': 83, 'trace_an': 0}
  • id: 41451372
    {'hecke_orbit_code': 18015360615712304, 'n': 84, 'trace_an': 0}
  • id: 41451373
    {'hecke_orbit_code': 18015360615712304, 'n': 85, 'trace_an': 0}
  • id: 41451374
    {'hecke_orbit_code': 18015360615712304, 'n': 86, 'trace_an': 0}
  • id: 41451375
    {'hecke_orbit_code': 18015360615712304, 'n': 87, 'trace_an': 0}
  • id: 41451376
    {'hecke_orbit_code': 18015360615712304, 'n': 88, 'trace_an': 0}
  • id: 41451377
    {'hecke_orbit_code': 18015360615712304, 'n': 89, 'trace_an': -18}
  • id: 41451378
    {'hecke_orbit_code': 18015360615712304, 'n': 90, 'trace_an': 0}
  • id: 41451379
    {'hecke_orbit_code': 18015360615712304, 'n': 91, 'trace_an': 0}
  • id: 41451380
    {'hecke_orbit_code': 18015360615712304, 'n': 92, 'trace_an': 0}
  • id: 41451381
    {'hecke_orbit_code': 18015360615712304, 'n': 93, 'trace_an': 0}
  • id: 41451382
    {'hecke_orbit_code': 18015360615712304, 'n': 94, 'trace_an': 0}
  • id: 41451383
    {'hecke_orbit_code': 18015360615712304, 'n': 95, 'trace_an': 0}
  • id: 41451384
    {'hecke_orbit_code': 18015360615712304, 'n': 96, 'trace_an': 0}
  • id: 41451385
    {'hecke_orbit_code': 18015360615712304, 'n': 97, 'trace_an': 34}
  • id: 41451386
    {'hecke_orbit_code': 18015360615712304, 'n': 98, 'trace_an': 0}
  • id: 41451387
    {'hecke_orbit_code': 18015360615712304, 'n': 99, 'trace_an': 0}
  • id: 41451388
    {'hecke_orbit_code': 18015360615712304, 'n': 100, 'trace_an': 0}