Embedded newform data - 1425.2.c.i.799.3

Formats: - HTML - YAML - JSON - 2024-05-03T12:35:34.844775

• mf_newforms •

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

  
  {'Nk2': 5700, 'analytic_conductor': 11.378682288032454, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [1425, 2, [476, 1027, 1351], [2, 1, 2]], 'cm_discs': [], 'conrey_index': 799, 'conrey_indexes': [799], 'dim': 4, 'field_disc': 784, 'field_disc_factorization': [[2, 4], [7, 2]], 'field_poly': [4, 0, -3, 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': [[2, [7, 0, 1]], [7, [36, 0, 16, 0, 1]], [11, [2, -6, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028934491473297, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1425.2.c.i', 'level': 1425, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 19], 'level_radical': 285, 'minimal_twist': '285.2.a.d', 'nf_label': '4.0.784.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{3}q^{2}-\\beta _{1}q^{3}-5q^{4}+\\beta _{2}q^{6}+(\\beta _{1}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1425.2.c', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1325235020610604558, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.001', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.886', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.937', 'prec': 17}, {'__RealLiteral__': 0, 'data': '73.282', 'prec': 20}, {'__RealLiteral__': 0, 'data': '46.715', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1880.962', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.517', 'prec': 17}, 'traces': [4, 0, 0, -20, 0, 0, 0, 0, -4, 0, 12, 0, 0, 28, 0, 44, 0, 0, 4, 0, 4, 0, 0, 0, 0, -28, 0, 0, -4, 0, 24, 0, 0, 0, 0, 20, 0, 0, -12, 0, -28, 0, 0, -60, 0, -56, 0, 0, -4, 0, 16, 0, 0, 0, 0, -84, 0, 0, -24, 0, -24, 0, 0, -52, 0, -28, 0, 0, 16, 0, 8, 0, 0, 28, 0, -20, 0, 0, 16, 0, 4, 0, 0, -20, 0, -28, 0, 0, 36, 0, 40, 0, 0, -56, 0, 0, 0, 0, -12, 0, 16, 0, 0, 84, 0, -56, 0, 0, 0, 0, -4, 0, 0, 0, 0, 20, 0, 0, -16, 0, 20, 0, 0, -120, 0, -28, 0, 0, 12, 0, -4, 0, 0, -112, 0, 0, 0, 0, -8, 0, -16, 0, 0, -44, 0, 0, 0, 0, 40, 0, 8, 0, 0, 112, 0, 60, 0, 0, 24, 0, 40, 0, 0, 140, 0, 0, 0, 0, -12, 0, -4, 0, 0, -84, 0, 132, 0, 0, 8, 0, 48, 0, 0, 168, 0, 0, 0, 0, -4, 0, -28, 0, 0, -84, 0, 20, 0, 0, -8, 0, -16, 0, 0, -80, 0, 112, 0, 0, 12, 0, -32, 0, 0, 0, 0, 0, 0, 0, 40, 0, 48, 0, 0, 140, 0, 0, 0, 0, -56, 0, 40, 0, 0, 28, 0, 120, 0, 0, -52, 0, 24, 0, 0, 120, 0, -28, 0, 0, 24, 0, -76, 0, 0, 0, 0, -20, 0, 0, -24, 0, 4, 0, 0, 84, 0, 28, 0, 0, 36, 0, -40, 0, 0, 0, 0, -80, 0, 0, -24, 0, -76, 0, 0, -40, 0, -168, 0, 0, 4, 0, -20, 0, 0, 56, 0, -84, 0, 0, -8, 0, 16, 0, 0, 44, 0, 0, 0, 0, 0, 0, 60, 0, 0, -56, 0, -80, 0, 0, 72, 0, 0, 0, 0, -20, 0, -28, 0, 0, 72, 0, 88, 0, 0, -56, 0, 44, 0, 0, -16, 0, 72, 0, 0, 84, 0, 0, 0, 0, -8, 0, 12, 0, 0, -56, 0, -180, 0, 0, 28, 0, 4, 0, 0, -200, 0, -56, 0, 0, 28, 0, 32, 0, 0, 112, 0, 168, 0, 0, -40, 0, -16, 0, 0, 0, 0, 28, 0, 0, 24, 0, -64, 0, 0, -224, 0, 60, 0, 0, 4, 0, 12, 0, 0, -80, 0, 56, 0, 0, 48, 0, -24, 0, 0, 56, 0, -140, 0, 0, -124, 0, 72, 0, 0, 168, 0, 56, 0, 0, -64, 0, -8, 0, 0, 168, 0, 0, 0, 0, 48, 0, 4, 0, 0, 20, 0, -112, 0, 0, 92, 0, -56, 0, 0, 56, 0, 0, 0, 0, -16, 0, -24, 0, 0, -44, 0, 0, 0, 0, 128, 0, 32, 0, 0, -112, 0, 80, 0, 0, -28, 0, 16, 0, 0, -100, 0, 0, 0, 0, -20, 0, -76, 0, 0, -28, 0, 264, 0, 0, -24, 0, 64, 0, 0, 84, 0, -56, 0, 0, 20, 0, -40, 0, 0, 112, 0, -60, 0, 0, 0, 0, -28, 0, 0, 20, 0, -112, 0, 0, -84, 0, 24, 0, 0, 84, 0, 336, 0, 0, -68, 0, 120, 0, 0, 0, 0, -112, 0, 0, 24, 0, -4, 0, 0, 112, 0, 40, 0, 0, 8, 0, 48, 0, 0, 80, 0, 196, 0, 0, 60, 0, 88, 0, 0, -168, 0, 52, 0, 0, -36, 0, -24, 0, 0, 0, 0, 112, 0, 0, 24, 0, 16, 0, 0, 28, 0, -200, 0, 0, -80, 0, 112, 0, 0, -40, 0, 56, 0, 0, 80, 0, -104, 0, 0, -280, 0, -336, 0, 0, -72, 0, -16, 0, 0, -132, 0, -56, 0, 0, 16, 0, -16, 0, 0, 280, 0, -120, 0, 0, -8, 0, -36, 0, 0, -200, 0, 0, 0, 0, -16, 0, 24, 0, 0, -56, 0, -308, 0, 0, -144, 0, -16, 0, 0, 0, 0, -28, 0, 0, -32, 0, -16, 0, 0, 84, 0, 60, 0, 0, 104, 0, 64, 0, 0, 20, 0, 112, 0, 0, 16, 0, -24, 0, 0, 0, 0, 252, 0, 0, -72, 0, 24, 0, 0, -156, 0, -112, 0, 0, 40, 0, -16, 0, 0, 112, 0, -40, 0, 0, -36, 0, -112, 0, 0, -240, 0, -168, 0, 0, -4, 0, -48, 0, 0, 28, 0, -280, 0, 0, 80, 0, -12, 0, 0, 0, 0, 84, 0, 0, 0, 0, -136, 0, 0, -224, 0, 20, 0, 0, -8, 0, -24, 0, 0, 140, 0, 112, 0, 0, -56, 0, 64, 0, 0, 28, 0, 252, 0, 0, -28, 0, -32, 0, 0, -44, 0, -140, 0, 0, -24, 0, 16, 0, 0, 0, 0, 40, 0, 0, 64, 0, -36, 0, 0, 80, 0, -168, 0, 0, 120, 0, -16, 0, 0, 56, 0, 176, 0, 0, -40, 0, 0, 0, 0, -336, 0, -112, 0, 0, -32, 0, 40, 0, 0, -168, 0, -60, 0, 0, -56, 0, 140, 0, 0, 160, 0, 56, 0, 0, 28, 0, 72, 0, 0, -112, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 28, 0, 0, 160, 0, -160, 0, 0, -56, 0, -200, 0, 0, 64, 0, -64, 0, 0, -240, 0, 56, 0, 0, 16, 0, 12, 0, 0, 112, 0, -84, 0, 0, -24, 0, -96, 0, 0, 0, 0, -112, 0, 0, -16, 0, 64, 0, 0, -168, 0, 280, 0, 0, -144, 0, -8, 0, 0, -200, 0, 196, 0, 0, -16, 0, -4, 0, 0, 168, 0, -84, 0, 0, 48, 0, -100, 0, 0, -264, 0, 0, 0, 0, 120, 0, 24, 0, 0, 56, 0, 260, 0, 0, 24, 0, 20, 0, 0, -120, 0, 56, 0, 0, 16, 0, 0, 0, 0, 168, 0, -264, 0, 0, 24, 0, 0, 0, 0, 84, 0, 336, 0, 0, -104, 0, -16, 0, 0, 0, 0, -120, 0, 0, 4, 0, 232, 0, 0, 380, 0, 0, 0, 0, -120, 0, -28, 0, 0, 168, 0, 0, 0, 0, 72, 0, 72, 0, 0, 268, 0, 0, 0, 0, -32, 0, -124, 0, 0, -280, 0, 120, 0, 0, 16, 0, -104, 0, 0, -20, 0, 56, 0, 0, 48, 0, -24, 0, 0, 0, 0, -140, 0, 0, -40, 0, -96, 0, 0, -84, 0, 112, 0, 0, -72, 0, 16, 0, 0, 56, 0, -180, 0, 0, 72, 0, -48, 0, 0, 200, 0, 56, 0, 0, -20, 0, -112, 0, 0, 168, 0, 0, 0, 0, 24, 0, 4, 0, 0, 176, 0, 224, 0, 0, -56, 0, -8, 0, 0, 112, 0, 120, 0, 0, 52, 0, -24, 0, 0, 380, 0, 168, 0, 0, -128, 0, -72, 0, 0, 28, 0, 88, 0, 0, 64, 0, 48, 0, 0, 504, 0, 140, 0, 0, -32, 0, 60, 0, 0, -56, 0, -20, 0, 0, -24, 0, -12, 0, 0, 100, 0, 0, 0, 0, -8, 0, -80, 0, 0, -56, 0, -168, 0, 0, 4, 0, 28, 0, 0, 140, 0, 112, 0, 0, 112, 0, 8, 0, 0, -56, 0, 40, 0, 0, 56, 0, 24, 0, 0, -80, 0, 112, 0, 0, -72, 0, 0, 0, 0, -392, 0, -52, 0, 0, -208, 0, 16, 0, 0, 0, 0, 280, 0, 0, -44, 0, -80, 0, 0, 0, 0, 0, 0, 0, 32, 0, -160, 0, 0, -300, 0, 168, 0, 0, -40, 0, 8, 0, 0, -28, 0, 168, 0, 0, -44, 0, -144, 0, 0, 176, 0, 112, 0, 0, 16, 0, -168, 0, 0, 196, 0, -360, 0, 0, -80, 0, 32, 0, 0, 0, 0, 28, 0, 0, -192, 0, 16, 0, 0, 112, 0, 44, 0, 0, -100, 0, 128, 0, 0, 84, 0, 112, 0, 0, -160, 0, 16, 0, 0, 0, 0, -360, 0, 0, 8, 0, 32, 0, 0, -440, 0, -112, 0, 0, 128, 0, 96, 0, 0, 392, 0, 168, 0, 0, 112, 0, -40, 0, 0, -52, 0, -84, 0, 0, 8, 0, 8, 0, 0, 280, 0, 80, 0, 0, -8, 0, -108, 0, 0, -360, 0, -336, 0, 0, 116, 0, -64, 0, 0, 56, 0, -140, 0, 0, 208, 0, -88, 0, 0, 0, 0, -112, 0, 0, -68, 0, 0, 0, 0, 112, 0, 40, 0, 0, -152, 0, -16, 0, 0, -60, 0, 28, 0, 0, 36, 0, -96, 0, 0, 56, 0, 168, 0, 0, 8, 0, -164, 0, 0, 396, 0, -336, 0, 0, 184, 0, -24, 0, 0, -28, 0, -140, 0, 0, 40, 0, 128, 0, 0, -20, 0, 112, 0, 0, -40, 0, 44, 0, 0, 308, 0, 440, 0, 0, -120, 0, -8, 0, 0, 168, 0, 112, 0, 0, -48, 0, 240, 0, 0, -448, 0, -140, 0, 0, -16, 0, 28, 0, 0, -160, 0, 112, 0, 0, 168, 0, -48, 0, 0, 0, 0, -336, 0, 0, -108, 0, 16, 0, 0, -280, 0, 28, 0, 0, -8, 0, 8, 0, 0, -168, 0, 200, 0, 0, -24, 0, 12, 0, 0, 80, 0, 56, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, -160, 0, 0, -84, 0, -56, 0, 0, 112, 0, -104, 0, 0, 0, 0, -120, 0, 0, -28, 0, 144, 0, 0, 320, 0, 84, 0, 0, -72, 0, -176, 0, 0, 168, 0, 672, 0, 0, -216, 0, 96, 0, 0, -132, 0, 0, 0, 0, -120, 0, 40, 0, 0, 0, 0, -20, 0, 0, 56, 0, -8, 0, 0, -60, 0, 280, 0, 0, 32, 0, -8, 0, 0, -140, 0, 176, 0, 0, -148, 0, -24, 0, 0, -168, 0, 56, 0, 0, -48, 0, 72, 0, 0, -28, 0, -240, 0, 0, 8, 0, 56, 0, 0, 120, 0, -140, 0, 0, 80, 0, -48, 0, 0, 280, 0, -168, 0, 0, 128, 0, 136, 0, 0, 84, 0, -224, 0, 0, -72, 0, 88, 0, 0, 0, 0, 620, 0, 0, -160, 0, 60, 0, 0, -360, 0, -140, 0, 0, 96, 0, 36, 0, 0, 308, 0, -280, 0, 0, 72, 0, 4, 0, 0, -168, 0, 56, 0, 0, 180, 0, 192, 0, 0, 392, 0, 320, 0, 0, 28, 0, -96, 0, 0, 40, 0, 0, 0, 0, 40, 0, 32, 0, 0, 0, 0, -504, 0, 0, 40, 0, -72, 0, 0, 0, 0, 84, 0, 0, 16, 0, 0, 0, 0, 84, 0, -240, 0, 0, 216, 0, 112, 0, 0, -20, 0, -252, 0, 0, 192, 0, 64, 0, 0, 0, 0, -44, 0, 0, 56, 0, -72, 0, 0, 336, 0, -56, 0, 0, 16, 0, 8, 0, 0, 56, 0, -460, 0, 0, -176, 0, 80, 0, 0, 280, 0, 56, 0, 0, 16, 0, 20, 0, 0, -392, 0, -168, 0, 0, 0, 0, 24, 0, 0, 0, 0, 168, 0, 0, -144, 0, 48, 0, 0, 112, 0, 80, 0, 0, -16, 0, 136, 0, 0, 120, 0, 112, 0, 0, 108, 0, -48, 0, 0, -112, 0, 52, 0, 0, -204, 0, -56, 0, 0, 0, 0, 84, 0, 0, -48, 0, -84, 0, 0, -168, 0, -640, 0, 0, 48, 0, -12, 0, 0, -160, 0, 504, 0, 0, 60, 0, -144, 0, 0, -112, 0, 336, 0, 0, 32, 0, -64, 0, 0, -176, 0, 112, 0, 0, -96, 0, 68, 0, 0, -224, 0, 140, 0, 0, 16, 0, 64, 0, 0, -80, 0, 0, 0, 0, -44, 0, -152, 0, 0, -28, 0, 220, 0, 0, -152, 0, 56, 0, 0, 0, 0, 112, 0, 0, 128, 0, 144, 0, 0, -392, 0, 100, 0, 0, 80, 0, 80, 0, 0, 380, 0, -280, 0, 0, -32, 0, -40, 0, 0, -168, 0, 84, 0, 0, -96, 0, -224, 0, 0, -312, 0, -112, 0, 0, -48, 0, 88, 0, 0, -56, 0, 120, 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, 1.8708286933869707], [0.0, -0.5773502691896257], [-2.5, 0.0], [0.0, 0.0], [1.0801234497346435, 0.0], [0.0, -0.6220355269907728], [0.0, -2.806243040080456], [-0.3333333333333333, 0.0], [0.0, 0.0], [0.10680999851582523, 0.0], [0.0, 1.4433756729740643], [0.0, -0.09825090863250088], [1.1637219122004232, 0.0], [0.0, 0.0], [2.75, 0.0], [0.0, 0.9701425001453319], [0.0, -0.6236095644623235], [0.22941573387056177, 0.0], [0.0, 0.0], [-0.35913237895363337, 0.0], [0.0, 0.19982320996402558], [0.0, 1.9374122249630399], [-1.620185174601965, 0.0], [0.0, 0.0], [0.18381061902102425, 0.0], [0.0, 0.19245008972987526], [0.0, 1.555088817476932], [-1.6596063914986043, 0.0], [0.0, 0.0], [1.0776318121606494, 0.0], [0.0, 2.3385358667337135], [0.0, -0.06166678139525522], [-1.8149704259460604, 0.0], [0.0, 0.0], [0.8333333333333334, 0.0], [0.0, -0.5993578235061974], [0.0, 0.42919753763947605], [-0.05672518854709971, 0.0], [0.0, 0.0], [-1.506413268490911, 0.0], [0.0, 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-0.44565654301334906, -0.21534927986974708, -0.3666443383900873, -0.39917960975796535, -0.20805821481352363, -0.09926009971823738, -0.2695940972722002, 0.027777505077688978, -0.3649806726281385, -0.3810384123837117, 0.026327980593383652, -0.25909066367333167, -0.20355186885897694, -0.4784355950638993, -0.2934702116939357, 0.05838824052704501, 0.17348886773540514, 0.11425227632517763, -0.26888042902399895], 'char_orbit_index': 3, 'conrey_index': 799, 'dual_conrey_index': 799, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.5, 'embedding_root_real': 1.3228756555322954, 'hecke_orbit': 9, 'hecke_orbit_code': 36028934491473297, 'label': '1425.2.c.i.799.3', 'level': 1425, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 5700, 'analytic_conductor': 11.378682288032454, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [1425, 2, [476, 1027, 1351], [2, 1, 2]], 'conrey_index': 799, 'cusp_dim': 188, 'dim': 52, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 137472509329, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 6, 6], 'label': '1425.2.c', 'level': 1425, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 19], 'level_radical': 285, 'mf_dim': 212, 'mf_new_dim': 52, 'num_forms': 16, 'prim_orbit_index': 2, 'relative_dim': 52, 'sturm_bound': 400, 'trace_bound': 14, 'trace_display': [0, 0, 0, 0], 'traces': [52, 0, 0, -48, 0, -4, 0, 0, -52, 0, -4, 0, 0, -32, 0, 56, 0, 0, 8, 0, 0, 0, 0, 12, 0, 8, 0, 0, 16, 0, 24, 0, 0, 8, 0, 48, 0, 0, 0, 0, -56, 0, 0, 8, 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-296, 0, 0, 164, 0, 88, 0, 0, -448, 0, -592, 0, 0, 472, 0, -48, 0, 0, 320, 0, -48, 0, 0, -80, 0, 672, 0, 0, 184, 0, 504, 0, 0, 44, 0, -8, 0, 0, 112, 0, 776, 0, 0, -56, 0, -420, 0, 0, -776, 0, -416, 0, 0, 144, 0, 96, 0, 0, 680, 0, -928, 0, 0, 200, 0, 0, 0, 0, 80, 0, -512, 0, 0, 304, 0, 256, 0, 0, 808, 0, 496, 0, 0, 68, 0, -324, 0, 0, -72, 0, 408, 0, 0, -32, 0, -64, 0, 0, 364, 0, -512, 0, 0, 336, 0, 520, 0, 0, 88, 0, 152, 0, 0, 40, 0, 424, 0, 0, 8, 0, 224, 0, 0, 84, 0, -104, 0, 0, -160, 0, -768, 0, 0, 168, 0, -64, 0, 0, -768, 0, 304, 0, 0, -248, 0, -440, 0, 0, 232, 0, 64, 0, 0, 488, 0, 12, 0, 0, 224, 0, -480, 0, 0, -544, 0, 96, 0, 0, -40, 0, 112, 0, 0, -8, 0, 12, 0, 0, -960, 0, 336, 0, 0, 304, 0, -40, 0, 0, 56, 0, -32, 0, 0, -768, 0, 160, 0, 0, -984, 0, 64, 0, 0, -64, 0, 140, 0, 0, -216, 0, 400, 0, 0, 248, 0, -48, 0, 0, 104, 0, 568, 0, 0, 428, 0, -288, 0, 0, 0, 0, 88, 0, 0, -400, 0, 516, 0, 0, -72, 0, -664, 0, 0, -364, 0, -20, 0, 0, 96, 0, 688, 0, 0, 96, 0, 232, 0, 0, -24, 0, 328, 0, 0, -24, 0, 24, 0, 0, -704, 0, -704, 0, 0, 280, 0, 336, 0, 0, 16, 0, 432, 0, 0, 16, 0, 168, 0, 0, 160, 0, -40, 0, 0, -416, 0, 256, 0, 0, 536, 0, -256, 0, 0, -412, 0, 96, 0, 0, 12, 0, -112, 0, 0, -56, 0, -96, 0, 0, -304, 0, 320, 0, 0, 48, 0, 48, 0, 0, 632, 0, -464, 0, 0, -688, 0, 32, 0, 0, -320, 0, 192, 0, 0, 104, 0, -60, 0, 0, -976, 0, -256, 0, 0, 136, 0, 344, 0, 0, 624, 0, 880, 0, 0, 180, 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: 46607165
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028934491473297, 'source_is_minimal': False, 'source_label': '1425.2.c.i.799.3', 'source_level': 1425, 'target_conrey_index': 799, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36028934491473297, 'target_is_minimal': False, 'target_label': '1425.2.c.i.799.3', 'target_level': 1425, 'twist_class_label': '285.2.a.d.1.1', 'twist_class_level': 285, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46607166
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 799, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028934491473297, 'source_is_minimal': False, 'source_label': '1425.2.c.i.799.3', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915666205, 'target_is_minimal': True, 'target_label': '285.2.a.d.1.1', 'target_level': 285, 'twist_class_label': '285.2.a.d.1.1', 'twist_class_level': 285, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46607167
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 799, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028934491473297, 'source_is_minimal': False, 'source_label': '1425.2.c.i.799.3', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 67553994444113297, 'target_is_minimal': False, 'target_label': '1425.2.a.p.1.2', 'target_level': 1425, 'twist_class_label': '285.2.a.d.1.1', 'twist_class_level': 285, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46607168
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028934491473297, 'source_is_minimal': False, 'source_label': '1425.2.c.i.799.3', 'source_level': 1425, 'target_conrey_index': 799, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36028934491473297, 'target_is_minimal': False, 'target_label': '1425.2.c.i.799.2', 'target_level': 1425, 'twist_class_label': '285.2.a.d.1.1', 'twist_class_level': 285, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46607169
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028934491473297, 'source_is_minimal': False, 'source_label': '1425.2.c.i.799.3', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021597797778263, 'target_is_minimal': False, 'target_label': '855.2.a.g.1.2', 'target_level': 855, 'twist_class_label': '285.2.a.d.1.1', 'twist_class_level': 285, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46607170
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028934491473297, 'source_is_minimal': False, 'source_label': '1425.2.c.i.799.3', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 90071992580968627, 'target_is_minimal': False, 'target_label': '4275.2.a.u.1.1', 'target_level': 4275, 'twist_class_label': '285.2.a.d.1.1', 'twist_class_level': 285, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 46607171
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028934491473297, 'source_is_minimal': False, 'source_label': '1425.2.c.i.799.3', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 180143985128378832, 'target_is_minimal': False, 'target_label': '4560.2.a.bo.1.1', 'target_level': 4560, 'twist_class_label': '285.2.a.d.1.1', 'twist_class_level': 285, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 46607172
    {'conductor': 95, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028934491473297, 'source_is_minimal': False, 'source_label': '1425.2.c.i.799.3', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 81064793326228775, 'target_is_minimal': False, 'target_label': '5415.2.a.s.1.2', 'target_level': 5415, 'twist_class_label': '285.2.a.d.1.1', 'twist_class_level': 285, 'twisting_char_label': '95.37', 'twisting_conrey_index': 37, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1939150
    {'charpoly_factorization': [[[7, 0, 1], 2]], 'hecke_orbit_code': 36028934491473297, 'p': 2}
  • id: 1939151
    {'charpoly_factorization': [[[1, 0, 1], 2]], 'hecke_orbit_code': 36028934491473297, 'p': 3}
  • id: 1939152
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028934491473297, 'p': 5}
  • id: 1939153
    {'charpoly_factorization': [[[36, 0, 16, 0, 1], 1]], 'hecke_orbit_code': 36028934491473297, 'p': 7}
  • id: 1939154
    {'charpoly_factorization': [[[2, -6, 1], 2]], 'hecke_orbit_code': 36028934491473297, 'p': 11}
  • id: 1939155
    {'charpoly_factorization': [[[4, 0, 32, 0, 1], 1]], 'hecke_orbit_code': 36028934491473297, 'p': 13}
  • id: 1939156
    {'charpoly_factorization': [[[16, 0, 1], 2]], 'hecke_orbit_code': 36028934491473297, 'p': 17}
  • id: 1939157
    {'charpoly_factorization': [[[-1, 1], 4]], 'hecke_orbit_code': 36028934491473297, 'p': 19}
  • id: 1939158
    {'charpoly_factorization': [[[144, 0, 88, 0, 1], 1]], 'hecke_orbit_code': 36028934491473297, 'p': 23}
  • id: 1939159
    {'charpoly_factorization': [[[-62, 2, 1], 2]], 'hecke_orbit_code': 36028934491473297, 'p': 29}
  • id: 1939160
    {'charpoly_factorization': [[[-6, 1], 4]], 'hecke_orbit_code': 36028934491473297, 'p': 31}
  • id: 1939161
    {'charpoly_factorization': [[[36, 0, 16, 0, 1], 1]], 'hecke_orbit_code': 36028934491473297, 'p': 37}
  • id: 1939162
    {'charpoly_factorization': [[[42, 14, 1], 2]], 'hecke_orbit_code': 36028934491473297, 'p': 41}
  • id: 1939163
    {'charpoly_factorization': [[[4, 0, 32, 0, 1], 1]], 'hecke_orbit_code': 36028934491473297, 'p': 43}
  • id: 1939164
    {'charpoly_factorization': [[[144, 0, 88, 0, 1], 1]], 'hecke_orbit_code': 36028934491473297, 'p': 47}
  • id: 1939165
    {'charpoly_factorization': [[[64, 0, 128, 0, 1], 1]], 'hecke_orbit_code': 36028934491473297, 'p': 53}
  • id: 1939166
    {'charpoly_factorization': [[[8, 12, 1], 2]], 'hecke_orbit_code': 36028934491473297, 'p': 59}
  • id: 1939167
    {'charpoly_factorization': [[[8, 12, 1], 2]], 'hecke_orbit_code': 36028934491473297, 'p': 61}
  • id: 1939168
    {'charpoly_factorization': [[[9216, 0, 256, 0, 1], 1]], 'hecke_orbit_code': 36028934491473297, 'p': 67}
  • id: 1939169
    {'charpoly_factorization': [[[-24, -4, 1], 2]], 'hecke_orbit_code': 36028934491473297, 'p': 71}
  • id: 1939170
    {'charpoly_factorization': [[[100, 0, 1], 2]], 'hecke_orbit_code': 36028934491473297, 'p': 73}
  • id: 1939171
    {'charpoly_factorization': [[[-96, -8, 1], 2]], 'hecke_orbit_code': 36028934491473297, 'p': 79}
  • id: 1939172
    {'charpoly_factorization': [[[36, 0, 1], 2]], 'hecke_orbit_code': 36028934491473297, 'p': 83}
  • id: 1939173
    {'charpoly_factorization': [[[18, -18, 1], 2]], 'hecke_orbit_code': 36028934491473297, 'p': 89}
  • id: 1939174
    {'charpoly_factorization': [[[1444, 0, 176, 0, 1], 1]], 'hecke_orbit_code': 36028934491473297, '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': 3, 'hecke_orbit': 9, 'label': '1425.2.c.i', 'level': 1425, '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

  
  
  • id: 201321000
    {'hecke_orbit_code': 36028934491473297, 'n': 1, 'trace_an': 4}
  • id: 201321001
    {'hecke_orbit_code': 36028934491473297, 'n': 2, 'trace_an': 0}
  • id: 201321002
    {'hecke_orbit_code': 36028934491473297, 'n': 3, 'trace_an': 0}
  • id: 201321003
    {'hecke_orbit_code': 36028934491473297, 'n': 4, 'trace_an': -20}
  • id: 201321004
    {'hecke_orbit_code': 36028934491473297, 'n': 5, 'trace_an': 0}
  • id: 201321005
    {'hecke_orbit_code': 36028934491473297, 'n': 6, 'trace_an': 0}
  • id: 201321006
    {'hecke_orbit_code': 36028934491473297, 'n': 7, 'trace_an': 0}
  • id: 201321007
    {'hecke_orbit_code': 36028934491473297, 'n': 8, 'trace_an': 0}
  • id: 201321008
    {'hecke_orbit_code': 36028934491473297, 'n': 9, 'trace_an': -4}
  • id: 201321009
    {'hecke_orbit_code': 36028934491473297, 'n': 10, 'trace_an': 0}
  • id: 201321010
    {'hecke_orbit_code': 36028934491473297, 'n': 11, 'trace_an': 12}
  • id: 201321011
    {'hecke_orbit_code': 36028934491473297, 'n': 12, 'trace_an': 0}
  • id: 201321012
    {'hecke_orbit_code': 36028934491473297, 'n': 13, 'trace_an': 0}
  • id: 201321013
    {'hecke_orbit_code': 36028934491473297, 'n': 14, 'trace_an': 28}
  • id: 201321014
    {'hecke_orbit_code': 36028934491473297, 'n': 15, 'trace_an': 0}
  • id: 201321015
    {'hecke_orbit_code': 36028934491473297, 'n': 16, 'trace_an': 44}
  • id: 201321016
    {'hecke_orbit_code': 36028934491473297, 'n': 17, 'trace_an': 0}
  • id: 201321017
    {'hecke_orbit_code': 36028934491473297, 'n': 18, 'trace_an': 0}
  • id: 201321018
    {'hecke_orbit_code': 36028934491473297, 'n': 19, 'trace_an': 4}
  • id: 201321019
    {'hecke_orbit_code': 36028934491473297, 'n': 20, 'trace_an': 0}
  • id: 201321020
    {'hecke_orbit_code': 36028934491473297, 'n': 21, 'trace_an': 4}
  • id: 201321021
    {'hecke_orbit_code': 36028934491473297, 'n': 22, 'trace_an': 0}
  • id: 201321022
    {'hecke_orbit_code': 36028934491473297, 'n': 23, 'trace_an': 0}
  • id: 201321023
    {'hecke_orbit_code': 36028934491473297, 'n': 24, 'trace_an': 0}
  • id: 201321024
    {'hecke_orbit_code': 36028934491473297, 'n': 25, 'trace_an': 0}
  • id: 201321025
    {'hecke_orbit_code': 36028934491473297, 'n': 26, 'trace_an': -28}
  • id: 201321026
    {'hecke_orbit_code': 36028934491473297, 'n': 27, 'trace_an': 0}
  • id: 201321027
    {'hecke_orbit_code': 36028934491473297, 'n': 28, 'trace_an': 0}
  • id: 201321028
    {'hecke_orbit_code': 36028934491473297, 'n': 29, 'trace_an': -4}
  • id: 201321029
    {'hecke_orbit_code': 36028934491473297, 'n': 30, 'trace_an': 0}
  • id: 201321030
    {'hecke_orbit_code': 36028934491473297, 'n': 31, 'trace_an': 24}
  • id: 201321031
    {'hecke_orbit_code': 36028934491473297, 'n': 32, 'trace_an': 0}
  • id: 201321032
    {'hecke_orbit_code': 36028934491473297, 'n': 33, 'trace_an': 0}
  • id: 201321033
    {'hecke_orbit_code': 36028934491473297, 'n': 34, 'trace_an': 0}
  • id: 201321034
    {'hecke_orbit_code': 36028934491473297, 'n': 35, 'trace_an': 0}
  • id: 201321035
    {'hecke_orbit_code': 36028934491473297, 'n': 36, 'trace_an': 20}
  • id: 201321036
    {'hecke_orbit_code': 36028934491473297, 'n': 37, 'trace_an': 0}
  • id: 201321037
    {'hecke_orbit_code': 36028934491473297, 'n': 38, 'trace_an': 0}
  • id: 201321038
    {'hecke_orbit_code': 36028934491473297, 'n': 39, 'trace_an': -12}
  • id: 201321039
    {'hecke_orbit_code': 36028934491473297, 'n': 40, 'trace_an': 0}
  • id: 201321040
    {'hecke_orbit_code': 36028934491473297, 'n': 41, 'trace_an': -28}
  • id: 201321041
    {'hecke_orbit_code': 36028934491473297, 'n': 42, 'trace_an': 0}
  • id: 201321042
    {'hecke_orbit_code': 36028934491473297, 'n': 43, 'trace_an': 0}
  • id: 201321043
    {'hecke_orbit_code': 36028934491473297, 'n': 44, 'trace_an': -60}
  • id: 201321044
    {'hecke_orbit_code': 36028934491473297, 'n': 45, 'trace_an': 0}
  • id: 201321045
    {'hecke_orbit_code': 36028934491473297, 'n': 46, 'trace_an': -56}
  • id: 201321046
    {'hecke_orbit_code': 36028934491473297, 'n': 47, 'trace_an': 0}
  • id: 201321047
    {'hecke_orbit_code': 36028934491473297, 'n': 48, 'trace_an': 0}
  • id: 201321048
    {'hecke_orbit_code': 36028934491473297, 'n': 49, 'trace_an': -4}
  • id: 201321049
    {'hecke_orbit_code': 36028934491473297, 'n': 50, 'trace_an': 0}
  • id: 201321050
    {'hecke_orbit_code': 36028934491473297, 'n': 51, 'trace_an': 16}
  • id: 201321051
    {'hecke_orbit_code': 36028934491473297, 'n': 52, 'trace_an': 0}
  • id: 201321052
    {'hecke_orbit_code': 36028934491473297, 'n': 53, 'trace_an': 0}
  • id: 201321053
    {'hecke_orbit_code': 36028934491473297, 'n': 54, 'trace_an': 0}
  • id: 201321054
    {'hecke_orbit_code': 36028934491473297, 'n': 55, 'trace_an': 0}
  • id: 201321055
    {'hecke_orbit_code': 36028934491473297, 'n': 56, 'trace_an': -84}
  • id: 201321056
    {'hecke_orbit_code': 36028934491473297, 'n': 57, 'trace_an': 0}
  • id: 201321057
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