Embedded newform data - 2340.2.bi.c.1061.6

Formats: - HTML - YAML - JSON - 2025-09-30T17:39:45.211101

• 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': 9360, 'analytic_conductor': 18.68499407297961, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 39, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 35, 'char_orbit_label': 'bi', 'char_order': 4, 'char_parity': 1, 'char_values': [2340, 4, [1171, 2081, 937, 1081], [4, 2, 4, 3]], 'cm_discs': [], 'conrey_index': 161, 'dim': 12, 'field_disc': 4364502833299456, 'field_disc_factorization': [[2, 24], [127, 4]], 'field_poly': [32, 224, 600, 712, 417, 40, -110, -32, 50, -16, 10, 0, 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': [[7, [1152, 624, 169, -4, 8, 4, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9009535750506788, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 16, 'hecke_ring_index_factorization': [[2, 4]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 39, 6, 1, 4, 0], [1, 1, 13, 4, -1, 4, 0], [1, 1, 3, 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': True, 'label': '2340.2.bi.c', 'level': 2340, '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, 5, 13], 'level_radical': 390, 'minimal_twist': '2340.2.bi.c', 'prim_orbit_index': 6, 'qexp_display': 'q+\\beta _{2}q^{5}+(-1+\\beta _{1}-\\beta _{4}-\\beta _{5}+\\beta _{11})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2340.2.bi', 'trace_display': [0, 0, 0, -8], 'trace_hash': 17054976436273827, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.617', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1030.728', 'prec': 27}, {'__RealLiteral__': 0, 'data': '649.207', 'prec': 24}, {'__RealLiteral__': 0, 'data': '137919.540', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.629', 'prec': 17}, 'traces': [12, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 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, -56, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, -140, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -188, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -124, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 196, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 196, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 328, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -164, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 244, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -344, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, -324, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 124, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 368, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, -280, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -352, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 368, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 360, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, -124, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 172, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -608, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -496, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 536, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 248, 0, 0, 0, 0, 0, 280, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -412, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, -140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -248, 0, 0, 0, 0, 0, 220, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, -416, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 424, 0, 0, 0, 0, 0, -96, 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], [0.31622776601683794, -0.31622776601683794], [0.0, 0.0], [0.947029506389546, -0.947029506389546], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.3956520278078396, 0.3956520278078396], [0.0, 0.0], [0.4575810813559133, -0.8891678997721145], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7566313339251135, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7813928423134533, 0.0], [0.0, 0.0], [0.0, -0.2], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.74996260181048], [0.0, 0.0], [-0.5926371678101753, -0.5926371678101753], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.5989540503151898], [0.0, 0.0], [-0.4848941808662731, 0.4848941808662731], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.08211199060727861, 0.08211199060727861], [0.0, 0.0], [0.0, -0.043988973081333906], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.2785183816178396, 0.2785183816178396], [0.0, 0.0], [0.0, -0.7937297719448542], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 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0.2779804442053622, 0.11763310908305968, -0.18387066020410656, 0.06994712449277005], 'char_orbit_index': 35, 'conrey_index': 1061, 'dual_conrey_index': 161, 'dual_embedding_index': 6, 'dual_embedding_m': 6, 'embedding_index': 6, 'embedding_m': 12, 'embedding_root_imag': -2.3684175912202265, 'embedding_root_real': 0.9810306876464348, 'hecke_orbit': 3, 'hecke_orbit_code': 9009535750506788, 'label': '2340.2.bi.c.1061.6', 'level': 2340, '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': 9360, 'analytic_conductor': 18.68499407297961, 'char_conductor': 39, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 35, 'char_orbit_label': 'bi', 'char_order': 4, 'char_parity': 1, 'char_values': [2340, 4, [1171, 2081, 937, 1081], [4, 2, 4, 3]], 'conrey_index': 161, 'cusp_dim': 960, 'dim': 32, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [7], 'hecke_orbit_code': 2336495765796, 'hecke_orbit_dims': [4, 4, 12, 12], 'label': '2340.2.bi', 'level': 2340, '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, 5, 13], 'level_radical': 390, 'mf_dim': 1056, 'mf_new_dim': 32, 'num_forms': 4, 'prim_orbit_index': 6, 'relative_dim': 16, 'sturm_bound': 1008, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 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, 448, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 192, 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, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 544, 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: 41984253
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1061, 'source_dim': 12, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9009535750506788, 'source_is_minimal': True, 'source_label': '2340.2.bi.c.1061.6', 'source_level': 2340, 'target_conrey_index': 1061, 'target_dim': 12, 'target_embedding_index': 6, 'target_hecke_orbit_code': 9009535750506788, 'target_is_minimal': True, 'target_label': '2340.2.bi.c.1061.6', 'target_level': 2340, 'twist_class_label': '2340.2.bi.c.161.3', 'twist_class_level': 2340, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 41984254
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1061, 'source_dim': 12, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9009535750506788, 'source_is_minimal': True, 'source_label': '2340.2.bi.c.1061.6', 'source_level': 2340, 'target_conrey_index': 1061, 'target_dim': 12, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9009535750506788, 'target_is_minimal': True, 'target_label': '2340.2.bi.c.1061.3', 'target_level': 2340, 'twist_class_label': '2340.2.bi.c.161.3', 'twist_class_level': 2340, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 41984255
    {'conductor': 13, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1061, 'source_dim': 12, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9009535750506788, 'source_is_minimal': True, 'source_label': '2340.2.bi.c.1061.6', 'source_level': 2340, 'target_conrey_index': 161, 'target_dim': 12, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9009535750506788, 'target_is_minimal': True, 'target_label': '2340.2.bi.c.161.3', 'target_level': 2340, 'twist_class_label': '2340.2.bi.c.161.3', 'twist_class_level': 2340, 'twisting_char_label': '13.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 41984256
    {'conductor': 39, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1061, 'source_dim': 12, 'source_embedding_index': 6, 'source_hecke_orbit_code': 9009535750506788, 'source_is_minimal': True, 'source_label': '2340.2.bi.c.1061.6', 'source_level': 2340, 'target_conrey_index': 161, 'target_dim': 12, 'target_embedding_index': 6, 'target_hecke_orbit_code': 9009535750506788, 'target_is_minimal': True, 'target_label': '2340.2.bi.c.161.6', 'target_level': 2340, 'twist_class_label': '2340.2.bi.c.161.3', 'twist_class_level': 2340, 'twisting_char_label': '39.5', 'twisting_conrey_index': 5, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2589425
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 9009535750506788, 'p': 2}
  • id: 2589426
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 9009535750506788, 'p': 3}
  • id: 2589427
    {'charpoly_factorization': [[[1, 0, 0, 0, 1], 3]], 'hecke_orbit_code': 9009535750506788, 'p': 5}
  • id: 2589428
    {'charpoly_factorization': [[[1152, 624, 169, -4, 8, 4, 1], 2]], 'hecke_orbit_code': 9009535750506788, 'p': 7}
  • id: 2589429
    {'charpoly_factorization': [[[256, 0, 0, 0, 1233, 0, 0, 0, 114, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009535750506788, 'p': 11}
  • id: 2589430
    {'charpoly_factorization': [[[2197, -1014, 481, -120, 37, -6, 1], 2]], 'hecke_orbit_code': 9009535750506788, 'p': 13}
  • id: 2589431
    {'charpoly_factorization': [[[-3042, 0, 685, 0, -48, 0, 1], 2]], 'hecke_orbit_code': 9009535750506788, 'p': 17}
  • id: 2589432
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 9009535750506788, 'p': 19}
  • id: 2589433
    {'charpoly_factorization': [[[-8, 0, 337, 0, -38, 0, 1], 2]], 'hecke_orbit_code': 9009535750506788, 'p': 23}
  • id: 2589434
    {'charpoly_factorization': [[[32, 0, 160, 0, 26, 0, 1], 2]], 'hecke_orbit_code': 9009535750506788, 'p': 29}
  • id: 2589435
    {'charpoly_factorization': [[[10368, 576, 16, 96, 72, 12, 1], 2]], 'hecke_orbit_code': 9009535750506788, 'p': 31}
  • id: 2589436
    {'charpoly_factorization': [[[57122, 19266, 3249, -4, 18, 6, 1], 2]], 'hecke_orbit_code': 9009535750506788, 'p': 37}
  • id: 2589437
    {'charpoly_factorization': [[[7311616, 0, 0, 0, 23923025, 0, 0, 0, 10226, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009535750506788, 'p': 41}
  • id: 2589438
    {'charpoly_factorization': [[[256, 0, 3088, 0, 136, 0, 1], 2]], 'hecke_orbit_code': 9009535750506788, 'p': 43}
  • id: 2589439
    {'charpoly_factorization': [[[331776, 0, 0, 0, 248848, 0, 0, 0, 4616, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009535750506788, 'p': 47}
  • id: 2589440
    {'charpoly_factorization': [[[1801202, 0, 44797, 0, 368, 0, 1], 2]], 'hecke_orbit_code': 9009535750506788, 'p': 53}
  • id: 2589441
    {'charpoly_factorization': [[[4294967296, 0, 0, 0, 80805888, 0, 0, 0, 29184, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009535750506788, 'p': 59}
  • id: 2589442
    {'charpoly_factorization': [[[-562, -123, 8, 1], 4]], 'hecke_orbit_code': 9009535750506788, 'p': 61}
  • id: 2589443
    {'charpoly_factorization': [[[123008, 1984, 16, -576, 200, -20, 1], 2]], 'hecke_orbit_code': 9009535750506788, 'p': 67}
  • id: 2589444
    {'charpoly_factorization': [[[268435456, 0, 0, 0, 44695185, 0, 0, 0, 34866, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009535750506788, 'p': 71}
  • id: 2589445
    {'charpoly_factorization': [[[294912, -122880, 25600, -1728, 18, 6, 1], 2]], 'hecke_orbit_code': 9009535750506788, 'p': 73}
  • id: 2589446
    {'charpoly_factorization': [[[-428, -119, -2, 1], 4]], 'hecke_orbit_code': 9009535750506788, 'p': 79}
  • id: 2589447
    {'charpoly_factorization': [[[116985856, 0, 0, 0, 18573584, 0, 0, 0, 105416, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009535750506788, 'p': 83}
  • id: 2589448
    {'charpoly_factorization': [[[37015056, 0, 0, 0, 6795985, 0, 0, 0, 52322, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009535750506788, 'p': 89}
  • id: 2589449
    {'charpoly_factorization': [[[116162, 27474, 3249, -316, 98, 14, 1], 2]], 'hecke_orbit_code': 9009535750506788, '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': 35, 'hecke_orbit': 3, 'label': '2340.2.bi.c', 'level': 2340, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 32179285
    {'hecke_orbit_code': 9009535750506788, 'n': 1, 'trace_an': 12}
  • id: 32179286
    {'hecke_orbit_code': 9009535750506788, 'n': 2, 'trace_an': 0}
  • id: 32179287
    {'hecke_orbit_code': 9009535750506788, 'n': 3, 'trace_an': 0}
  • id: 32179288
    {'hecke_orbit_code': 9009535750506788, 'n': 4, 'trace_an': 0}
  • id: 32179289
    {'hecke_orbit_code': 9009535750506788, 'n': 5, 'trace_an': 0}
  • id: 32179290
    {'hecke_orbit_code': 9009535750506788, 'n': 6, 'trace_an': 0}
  • id: 32179291
    {'hecke_orbit_code': 9009535750506788, 'n': 7, 'trace_an': -8}
  • id: 32179292
    {'hecke_orbit_code': 9009535750506788, 'n': 8, 'trace_an': 0}
  • id: 32179293
    {'hecke_orbit_code': 9009535750506788, 'n': 9, 'trace_an': 0}
  • id: 32179294
    {'hecke_orbit_code': 9009535750506788, 'n': 10, 'trace_an': 0}
  • id: 32179295
    {'hecke_orbit_code': 9009535750506788, 'n': 11, 'trace_an': 0}
  • id: 32179296
    {'hecke_orbit_code': 9009535750506788, 'n': 12, 'trace_an': 0}
  • id: 32179297
    {'hecke_orbit_code': 9009535750506788, 'n': 13, 'trace_an': 12}
  • id: 32179298
    {'hecke_orbit_code': 9009535750506788, 'n': 14, 'trace_an': 0}
  • id: 32179299
    {'hecke_orbit_code': 9009535750506788, 'n': 15, 'trace_an': 0}
  • id: 32179300
    {'hecke_orbit_code': 9009535750506788, 'n': 16, 'trace_an': 0}
  • id: 32179301
    {'hecke_orbit_code': 9009535750506788, 'n': 17, 'trace_an': 0}
  • id: 32179302
    {'hecke_orbit_code': 9009535750506788, 'n': 18, 'trace_an': 0}
  • id: 32179303
    {'hecke_orbit_code': 9009535750506788, 'n': 19, 'trace_an': 0}
  • id: 32179304
    {'hecke_orbit_code': 9009535750506788, 'n': 20, 'trace_an': 0}
  • id: 32179305
    {'hecke_orbit_code': 9009535750506788, 'n': 21, 'trace_an': 0}
  • id: 32179306
    {'hecke_orbit_code': 9009535750506788, 'n': 22, 'trace_an': 0}
  • id: 32179307
    {'hecke_orbit_code': 9009535750506788, 'n': 23, 'trace_an': 0}
  • id: 32179308
    {'hecke_orbit_code': 9009535750506788, 'n': 24, 'trace_an': 0}
  • id: 32179309
    {'hecke_orbit_code': 9009535750506788, 'n': 25, 'trace_an': 0}
  • id: 32179310
    {'hecke_orbit_code': 9009535750506788, 'n': 26, 'trace_an': 0}
  • id: 32179311
    {'hecke_orbit_code': 9009535750506788, 'n': 27, 'trace_an': 0}
  • id: 32179312
    {'hecke_orbit_code': 9009535750506788, 'n': 28, 'trace_an': 0}
  • id: 32179313
    {'hecke_orbit_code': 9009535750506788, 'n': 29, 'trace_an': 0}
  • id: 32179314
    {'hecke_orbit_code': 9009535750506788, 'n': 30, 'trace_an': 0}
  • id: 32179315
    {'hecke_orbit_code': 9009535750506788, 'n': 31, 'trace_an': -24}
  • id: 32179316
    {'hecke_orbit_code': 9009535750506788, 'n': 32, 'trace_an': 0}
  • id: 32179317
    {'hecke_orbit_code': 9009535750506788, 'n': 33, 'trace_an': 0}
  • id: 32179318
    {'hecke_orbit_code': 9009535750506788, 'n': 34, 'trace_an': 0}
  • id: 32179319
    {'hecke_orbit_code': 9009535750506788, 'n': 35, 'trace_an': 0}
  • id: 32179320
    {'hecke_orbit_code': 9009535750506788, 'n': 36, 'trace_an': 0}
  • id: 32179321
    {'hecke_orbit_code': 9009535750506788, 'n': 37, 'trace_an': -12}
  • id: 32179322
    {'hecke_orbit_code': 9009535750506788, 'n': 38, 'trace_an': 0}
  • id: 32179323
    {'hecke_orbit_code': 9009535750506788, 'n': 39, 'trace_an': 0}
  • id: 32179324
    {'hecke_orbit_code': 9009535750506788, 'n': 40, 'trace_an': 0}
  • id: 32179325
    {'hecke_orbit_code': 9009535750506788, 'n': 41, 'trace_an': 0}
  • id: 32179326
    {'hecke_orbit_code': 9009535750506788, 'n': 42, 'trace_an': 0}
  • id: 32179327
    {'hecke_orbit_code': 9009535750506788, 'n': 43, 'trace_an': 0}
  • id: 32179328
    {'hecke_orbit_code': 9009535750506788, 'n': 44, 'trace_an': 0}
  • id: 32179329
    {'hecke_orbit_code': 9009535750506788, 'n': 45, 'trace_an': 0}
  • id: 32179330
    {'hecke_orbit_code': 9009535750506788, 'n': 46, 'trace_an': 0}
  • id: 32179331
    {'hecke_orbit_code': 9009535750506788, 'n': 47, 'trace_an': 0}
  • id: 32179332
    {'hecke_orbit_code': 9009535750506788, 'n': 48, 'trace_an': 0}
  • id: 32179333
    {'hecke_orbit_code': 9009535750506788, 'n': 49, 'trace_an': 0}
  • id: 32179334
    {'hecke_orbit_code': 9009535750506788, 'n': 50, 'trace_an': 0}
  • id: 32179335
    {'hecke_orbit_code': 9009535750506788, 'n': 51, 'trace_an': 0}
  • id: 32179336
    {'hecke_orbit_code': 9009535750506788, 'n': 52, 'trace_an': 0}
  • id: 32179337
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    {'hecke_orbit_code': 9009535750506788, 'n': 953, 'trace_an': 0}
  • id: 32179536
    {'hecke_orbit_code': 9009535750506788, 'n': 961, 'trace_an': 0}
  • id: 32179537
    {'hecke_orbit_code': 9009535750506788, 'n': 967, 'trace_an': -96}
  • id: 32179538
    {'hecke_orbit_code': 9009535750506788, 'n': 971, 'trace_an': 0}
  • id: 32179539
    {'hecke_orbit_code': 9009535750506788, 'n': 977, 'trace_an': 0}
  • id: 32179540
    {'hecke_orbit_code': 9009535750506788, 'n': 983, 'trace_an': 0}
  • id: 32179541
    {'hecke_orbit_code': 9009535750506788, 'n': 991, 'trace_an': 168}
  • id: 32179542
    {'hecke_orbit_code': 9009535750506788, 'n': 997, 'trace_an': 72}