Newform data - 1680.2.bl.c

Formats: - HTML - YAML - JSON - 2025-09-06T19:33:16.702566

• 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': 6720, 'analytic_conductor': 13.414867539575104, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 20, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 38, 'char_orbit_label': 'bl', 'char_order': 4, 'char_parity': 1, 'char_values': [1680, 4, [1471, 421, 1121, 337, 241], [2, 4, 4, 1, 4]], 'cm_discs': [], 'conrey_index': 127, 'dim': 12, 'field_disc': 426337261060096, 'field_disc_factorization': [[2, 24], [71, 4]], 'field_poly': [64, 0, 0, -32, -12, 8, 8, 4, -3, -4, 0, 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': [[11, [8, 0, 1]], [13, [32, 96, 144, 32, 2, -2, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9009741908936336, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 64, 'hecke_ring_index_factorization': [[2, 6]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 3, -1, 4, 0], [1, 1, 20, 5, 1, 4, 0], [1, 1, 4, 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': '1680.2.bl.c', 'level': 1680, '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, 7], 'level_radical': 210, 'minimal_twist': '1680.2.bl.c', 'nf_label': '12.0.426337261060096.1', 'prim_orbit_index': 5, 'qexp_display': 'q+\\beta _{6}q^{3}+\\beta _{5}q^{5}+\\beta _{1}q^{7}-\\beta _{7}q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1680.2.bl', 'trace_display': [0, 0, 0, 0], 'trace_hash': 504408452956912610, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.525', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '981.895', 'prec': 24}, {'__RealLiteral__': 0, 'data': '1012.247', 'prec': 27}, {'__RealLiteral__': 0, 'data': '127961.346', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.627', 'prec': 17}, 'traces': [12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, -4, 0, 0, 0, -12, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 12, 0, 0, 0, 16, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, -16, 0, 0, 0, -16, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 24, 0, 0, 0, -12, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 28, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 4, 0, 0, 0, 36, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 84, 0, 0, 0, -16, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 100, 0, 0, 0, -16, 0, 0, 0, 8, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 16, 0, 0, 0, -168, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 16, 0, 0, 0, -160, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 12, 0, 0, 0, -16, 0, 0, 0, -124, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 100, 0, 0, 0, -32, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 76, 0, 0, 0, 24, 0, 0, 0, -48, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 196, 0, 0, 0, 116, 0, 0, 0, 80, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, -36, 0, 0, 0, -64, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, 4, 0, 0, 0, -84, 0, 0, 0, -172, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, -32, 0, 0, 0, -80, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -36, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -156, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 0, 112, 0, 0, 0, 12, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, -136, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 28, 0, 0, 0, 8, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 40, 0, 0, 0, 16, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, -40, 0, 0, 0, -280, 0, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 156, 0, 0, 0, -16, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 68, 0, 0, 0, -64, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 64, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -92, 0, 0, 0, -172, 0, 0, 0, -16, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -4, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 60, 0, 0, 0, -48, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 204, 0, 0, 0, -60, 0, 0, 0, 32, 0, 0, 0, 172, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 88, 0, 0, 0, 16, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 312, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, -292, 0, 0, 0, -12, 0, 0, 0, -160, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 28, 0, 0, 0, -48, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -128, 0, 0, 0, -272, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 16, 0, 0, 0, 60, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -172, 0, 0, 0, -204, 0, 0, 0, -16, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 324, 0, 0, 0, 112, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -128, 0, 0, 0, 264, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, -108, 0, 0, 0, 8, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, 32, 0, 0, 0, -156, 0, 0, 0, 148, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, -20, 0, 0, 0, 24, 0, 0, 0, -164, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 164, 0, 0, 0, 16, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -164, 0, 0, 0, 52, 0, 0, 0, -56, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -100, 0, 0, 0, 288, 0, 0, 0, 64, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -168, 0, 0, 0, 288, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -308, 0, 0, 0, -428, 0, 0, 0, -96, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 92, 0, 0, 0, -32, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 64, 0, 0, 0, -16, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, -80, 0, 0, 0, -48, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, -160, 0, 0, 0, 64, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -292, 0, 0, 0, 16, 0, 0, 0, 416, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 52, 0, 0, 0, 48, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, -172, 0, 0, 0, -88, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, -240, 0, 0, 0, -8, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -148, 0, 0, 0, 16, 0, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, -108, 0, 0, 0, 64, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, -48, 0, 0, 0, 384, 0, 0, 0, 228, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, -8, 0, 0, 0, -104, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 116, 0, 0, 0, 4, 0, 0, 0, -144, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 160, 0, 0, 0, 224, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, -248, 0, 0, 0, 16, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 564, 0, 0, 0, 0, 0, 0, 0, -156, 0, 0, 0, -256, 0, 0, 0, 16, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 48, 0, 0, 0, -64, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -228, 0, 0, 0, -112, 0, 0, 0, 32, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 16, 0, 0, 0, -52, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, -192, 0, 0, 0, -288, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 100, 0, 0, 0, 160, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -224, 0, 0, 0, 272, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 60, 0, 0, 0, 440, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -524, 0, 0, 0, -24, 0, 0, 0, 88, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 124, 0, 0, 0, -288, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -156, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 80, 0, 0, 0, 292, 0, 0, 0, 356, 0, 0, 0, 0, 0, 0, 0, -284, 0, 0, 0, -68, 0, 0, 0, 12, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 88, 0, 0, 0, 136, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, -220, 0, 0, 0, 68, 0, 0, 0, -376, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 204, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, -140, 0, 0, 0, 344, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -168, 0, 0, 0, 400, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -32, 0, 0, 0, -128, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, -280, 0, 0, 0, 80, 0, 0, 0, 8, 0, 0, 0, 476, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 76, 0, 0, 0, -64, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, -64, 0, 0, 0, 144, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -340, 0, 0, 0, 40, 0, 0, 0, -200, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, -100, 0, 0, 0, -168, 0, 0, 0, 16, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -208, 0, 0, 0, 56, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -340, 0, 0, 0, -168, 0, 0, 0, 32, 0, 0, 0, -292, 0, 0, 0, 0, 0, 0, 0, -324, 0, 0, 0, -12, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
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0, -4, 0, -4], [0, 0, -6, 3, 0, 0, 6, 0, 0, -6, 0, -3], [25, 0, 0, 0, 4, -4, 0, -25, -2, 0, 2, 0], [8, 0, 0, 0, 2, 3, 0, 0, -2, 0, 3, 0], [0, 0, -6, -2, 0, 0, 28, 0, 0, -6, 0, 2], [0, -8, -8, 6, 0, 0, 0, 0, 0, 8, 0, 6], [0, 16, -4, 8, 0, 0, 0, 0, 0, 4, 0, 8], [0, -30, -2, 2, 0, 0, -30, 0, 0, -6, 0, 6], [0, 0, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 6, -1, 0, 4, 6, 0, 1, 0], [-6, 0, 0, 0, -8, 8, 0, 6, 1, 0, -1, 0], [0, 0, 0, 0, 1, 6, 0, 0, -1, 0, 6, 0], [0, -14, -3, -6, 0, 0, 0, 0, 0, 3, 0, -6], [12, 0, 0, 0, 3, 3, 0, 12, -6, 0, -6, 0], [0, 16, -8, -10, 0, 0, 0, 0, 0, 8, 0, -10], [0, 16, 0, 0, 0, 0, 16, 0, 0, -8, 0, 8], [-2, 0, 0, 0, -8, 8, 0, 2, -9, 0, 9, 0], [0, 0, -12, 4, 0, 0, 32, 0, 0, -12, 0, -4], [0, 0, 2, -2, 0, 0, 0, 0, 0, -2, 0, 2], [14, 0, 0, 0, 6, -6, 0, -14, 7, 0, -7, 0], [0, 0, 0, 0, 10, -2, 0, -4, 10, 0, 2, 0], [-12, 0, 0, 0, -1, -1, 0, -12, 4, 0, 4, 0], [0, 6, -4, -4, 0, 0, -6, 0, 0, 4, 0, 4], [-6, 0, 0, 0, 2, 6, 0, 0, -2, 0, 6, 0], [0, -4, -3, 3, 0, 0, -4, 0, 0, 3, 0, -3], [-11, 0, 0, 0, -6, -6, 0, -11, -14, 0, -14, 0], [0, -15, -3, -3, 0, 0, 15, 0, 0, 4, 0, 4], [0, 0, 0, 0, -3, 4, 0, -20, -3, 0, -4, 0], [0, -38, 0, 0, 0, 0, -38, 0, 0, -2, 0, 2], [6, 0, 0, 0, -4, 2, 0, 0, 4, 0, 2, 0], [0, 0, 10, -2, 0, 0, -16, 0, 0, 10, 0, 2], [0, 0, 0, 0, 16, 4, 0, -6, 16, 0, -4, 0], [0, 12, 2, -12, 0, 0, 0, 0, 0, -2, 0, -12], [0, 8, 4, -4, 0, 0, 8, 0, 0, 0, 0, 0], [-25, 0, 0, 0, -2, -2, 0, -25, 0, 0, 0, 0], [-36, 0, 0, 0, -2, 2, 0, 36, -3, 0, 3, 0], [0, 0, -2, 7, 0, 0, 26, 0, 0, -2, 0, -7], [0, 0, 0, 0, 1, -4, 0, 32, 1, 0, 4, 0], [7, 0, 0, 0, -4, 4, 0, -7, -6, 0, 6, 0], [0, 0, 9, -3, 0, 0, 10, 0, 0, 9, 0, 3], [0, 0, 0, 0, -6, -6, 0, 30, -6, 0, 6, 0], [0, -30, -2, 2, 0, 0, -30, 0, 0, -12, 0, 12], [-6, 0, 0, 0, -5, -5, 0, -6, -4, 0, -4, 0], [0, 0, 2, -5, 0, 0, 38, 0, 0, 2, 0, 5], [0, 14, 6, -6, 0, 0, 14, 0, 0, 12, 0, -12], [4, 0, 0, 0, 2, -5, 0, 0, -2, 0, -5, 0], [0, 10, 5, -6, 0, 0, 0, 0, 0, -5, 0, -6], [-24, 0, 0, 0, 2, 2, 0, -24, 3, 0, 3, 0], [36, 0, 0, 0, -2, 2, 0, 0, 2, 0, 2, 0], [9, 0, 0, 0, 2, 2, 0, 9, 14, 0, 14, 0], [8, 0, 0, 0, -4, 4, 0, -8, 7, 0, -7, 0], [0, 0, -6, -10, 0, 0, 0, 0, 0, -6, 0, 10], [0, 0, 0, 0, 7, 3, 0, 2, 7, 0, -3, 0], [0, 9, 4, -4, 0, 0, 9, 0, 0, 3, 0, -3], [-18, 0, 0, 0, 2, -2, 0, 18, -9, 0, 9, 0], [0, 0, 0, 0, -7, 3, 0, -26, -7, 0, -3, 0], [0, 24, -6, -6, 0, 0, -24, 0, 0, -6, 0, -6], [-12, 0, 0, 0, -3, 3, 0, 12, -2, 0, 2, 0], [0, -3, -3, -3, 0, 0, 3, 0, 0, 12, 0, 12], [0, 0, 6, 7, 0, 0, -2, 0, 0, 6, 0, -7], [0, 0, 0, 0, -13, 7, 0, -2, -13, 0, -7, 0], [0, -1, 0, 0, 0, 0, -1, 0, 0, 5, 0, -5], [-9, 0, 0, 0, -10, 10, 0, 9, -10, 0, 10, 0], [4, 0, 0, 0, 2, 5, 0, 0, -2, 0, 5, 0], [0, 0, 2, 2, 0, 0, 44, 0, 0, 2, 0, -2], [0, -24, 4, 6, 0, 0, 0, 0, 0, -4, 0, 6], [0, 0, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0], [34, 0, 0, 0, -3, -7, 0, 0, 3, 0, -7, 0], [0, 0, 2, 4, 0, 0, 0, 0, 0, -2, 0, 4], [8, 0, 0, 0, -11, 0, 0, 0, 11, 0, 0, 0], [0, -18, 11, 2, 0, 0, 0, 0, 0, -11, 0, 2], [10, 0, 0, 0, -5, -5, 0, 10, -4, 0, -4, 0], [-4, 0, 0, 0, -12, 8, 0, 0, 12, 0, 8, 0], [0, -1, -15, -15, 0, 0, 1, 0, 0, -10, 0, -10], [0, 0, 0, 0, -13, -9, 0, 30, -13, 0, 9, 0], [0, 0, 10, -6, 0, 0, -20, 0, 0, 10, 0, 6], [0, -44, 4, 4, 0, 0, 0, 0, 0, -4, 0, 4], [0, 0, 0, 0, -16, -8, 0, 38, -16, 0, 8, 0], [-4, 0, 0, 0, -1, -1, 0, -4, 2, 0, 2, 0], [0, -4, 11, 11, 0, 0, 4, 0, 0, -7, 0, -7], [0, 14, -7, -3, 0, 0, 0, 0, 0, 7, 0, -3], [0, 4, 3, -3, 0, 0, 4, 0, 0, 5, 0, -5], [-13, 0, 0, 0, 4, 4, 0, -13, 4, 0, 4, 0], [0, -3, -11, -11, 0, 0, 3, 0, 0, 0, 0, 0], [0, -10, 2, -2, 0, 0, -10, 0, 0, 12, 0, -12], [-2, 0, 0, 0, -5, -1, 0, 0, 5, 0, -1, 0], [0, 0, -2, 6, 0, 0, 12, 0, 0, -2, 0, -6], [0, 16, -4, -16, 0, 0, 0, 0, 0, 4, 0, -16], [0, 0, 0, 0, -16, 6, 0, -18, -16, 0, -6, 0], [-20, 0, 0, 0, 3, 3, 0, -20, 0, 0, 0, 0], [0, -8, 9, 9, 0, 0, 8, 0, 0, -1, 0, -1], [0, -6, 16, -16, 0, 0, -6, 0, 0, 14, 0, -14], [0, 0, 10, 7, 0, 0, 6, 0, 0, 10, 0, -7], [0, 7, -6, 6, 0, 0, 7, 0, 0, -9, 0, 9], [0, 0, -8, -4, 0, 0, -24, 0, 0, -8, 0, 4], [0, 0, 0, 0, 4, -16, 0, -12, 4, 0, 16, 0], [8, 0, 0, 0, 13, 13, 0, 8, 16, 0, 16, 0], [0, 28, 10, 10, 0, 0, -28, 0, 0, 14, 0, 14], [0, -8, -6, 14, 0, 0, 0, 0, 0, 6, 0, 14], [0, -16, -2, 2, 0, 0, -16, 0, 0, -14, 0, 14], [0, -18, 0, 0, 0, 0, 18, 0, 0, 6, 0, 6], [0, 0, -2, -5, 0, 0, 46, 0, 0, -2, 0, 5], [9, 0, 0, 0, -14, 14, 0, -9, -2, 0, 2, 0], [40, 0, 0, 0, -5, 16, 0, 0, 5, 0, 16, 0], [0, -18, -7, 10, 0, 0, 0, 0, 0, 7, 0, 10], [0, 0, 0, 0, 2, -4, 0, 6, 2, 0, 4, 0], [-44, 0, 0, 0, 1, 1, 0, -44, 0, 0, 0, 0], [0, 14, -16, -16, 0, 0, -14, 0, 0, 0, 0, 0], [6, 0, 0, 0, 2, -14, 0, 0, -2, 0, -14, 0], [0, -10, -1, -5, 0, 0, 0, 0, 0, 1, 0, -5], [8, 0, 0, 0, 2, -2, 0, -8, -5, 0, 5, 0], [-12, 0, 0, 0, 0, 0, 0, 12, 3, 0, -3, 0], [0, 0, -2, 2, 0, 0, 40, 0, 0, -2, 0, -2], [0, -14, 5, 22, 0, 0, 0, 0, 0, -5, 0, 22], [0, 0, 0, 0, -5, -3, 0, 22, -5, 0, 3, 0], [-24, 0, 0, 0, -3, -3, 0, -24, -4, 0, -4, 0], [-4, 0, 0, 0, -11, 11, 0, 4, -6, 0, 6, 0], [0, -19, 11, 11, 0, 0, 19, 0, 0, -6, 0, -6], [0, 0, 0, 0, 15, -1, 0, 10, 15, 0, 1, 0], [12, 0, 0, 0, -1, 8, 0, 0, 1, 0, 8, 0], [0, 0, 8, 14, 0, 0, 12, 0, 0, 8, 0, -14], [-14, 0, 0, 0, -3, -3, 0, -14, 10, 0, 10, 0], [-38, 0, 0, 0, 10, 18, 0, 0, -10, 0, 18, 0], [0, 36, -8, -10, 0, 0, 0, 0, 0, 8, 0, -10], [6, 0, 0, 0, 15, 15, 0, 6, 0, 0, 0, 0], [0, 24, -4, -4, 0, 0, -24, 0, 0, -8, 0, -8], [-14, 0, 0, 0, -10, 10, 0, 14, -17, 0, 17, 0], [0, 0, 2, -2, 0, 0, -24, 0, 0, 2, 0, 2], [0, 6, -3, 2, 0, 0, 0, 0, 0, 3, 0, 2], [0, 0, 0, 0, -7, 7, 0, 14, -7, 0, -7, 0], [38, 0, 0, 0, -7, 7, 0, 0, 7, 0, 7, 0], [0, 42, -2, 2, 0, 0, 42, 0, 0, -4, 0, 4], [0, 0, 8, -4, 0, 0, 32, 0, 0, 8, 0, 4], [0, 14, -14, 14, 0, 0, 14, 0, 0, -4, 0, 4], [0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-2, 0, 0, 0, 4, 16, 0, 0, -4, 0, 16, 0], [0, -10, 17, 5, 0, 0, 0, 0, 0, -17, 0, 5], [0, -6, 6, -6, 0, 0, -6, 0, 0, -14, 0, 14], [-5, 0, 0, 0, -2, -2, 0, -5, 2, 0, 2, 0], [6, 0, 0, 0, 8, -8, 0, -6, 7, 0, -7, 0], [0, -23, -9, -9, 0, 0, 23, 0, 0, -18, 0, -18], [0, 0, 0, 0, 16, 3, 0, -12, 16, 0, -3, 0], [6, 0, 0, 0, 9, 17, 0, 0, -9, 0, 17, 0], [0, -16, 8, -18, 0, 0, 0, 0, 0, -8, 0, -18], [-30, 0, 0, 0, -7, -7, 0, -30, -12, 0, -12, 0], [0, 12, -14, 14, 0, 0, 12, 0, 0, 6, 0, -6], [-9, 0, 0, 0, 0, 0, 0, -9, -2, 0, -2, 0], [0, 0, 0, 0, -4, -1, 0, 4, -4, 0, 1, 0], [0, -5, 16, -16, 0, 0, -5, 0, 0, 5, 0, -5], [-32, 0, 0, 0, 4, 4, 0, -32, -7, 0, -7, 0], [0, 14, -6, -6, 0, 0, -14, 0, 0, -12, 0, -12], [0, 14, -3, -15, 0, 0, 0, 0, 0, 3, 0, -15], [-30, 0, 0, 0, 3, 3, 0, -30, -6, 0, -6, 0], [-6, 0, 0, 0, 2, -2, 0, 6, -13, 0, 13, 0], [0, 12, -6, -6, 0, 0, -12, 0, 0, -2, 0, -2]], 'char_orbit_index': 38, 'field_poly': [64, 0, 0, -32, -12, 8, 8, 4, -3, -4, 0, 0, 1], 'hecke_orbit_code': 9009741908936336, 'hecke_ring_character_values': [[1471, [-1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [421, [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [1121, [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [337, [0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0]], [241, [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 160, 160, 160, 160, 160, 160, 80, 80, 160, 80, 160], 'hecke_ring_inverse_denominators': [1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -2, 1, 1, -1, 1, 0, 0, -1, -1, 1, 1], [0, 2, 1, 1, 1, -1, -2, 2, 1, -1, 1, -1], [4, 0, 3, -1, 1, 1, -2, 4, 1, 3, 1, 1], [2, -6, -1, 1, 3, 1, -6, 0, -3, -3, 1, 3], [-8, 14, 1, 1, -1, 1, 0, 8, -5, -1, 5, 1], [0, 14, 3, 3, 7, 1, -14, -10, 7, 5, -1, 5], [4, 0, 5, 1, 7, 7, 2, 4, -9, 5, -9, -1], [-2, 14, -15, 15, 5, 15, 14, 0, -5, -5, 15, 5], [32, 66, 7, -1, -7, 7, 0, -32, 5, -7, -5, -1], [0, -38, 37, 37, 17, 15, 38, -22, 17, 11, -15, 11], [100, 0, -21, 23, 9, 9, 14, 100, 1, -21, 1, -23]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -48, -24, -8, 2, 24, 5, -3, -2, 4, 1, 1], [-32, 16, 104, 60, 18, 4, -27, 4, -6, 8, 5, -4], [352, 272, 40, -172, -110, 22, 67, 19, -2, -22, -1, 3], [-64, -352, 96, 76, 112, 0, -44, -1, 12, 8, 8, -5], [-512, 160, 16, 124, -8, -88, -12, 23, 20, 16, -8, 3], [0, -192, -56, 28, 38, 26, -35, -17, 2, 6, 9, -1], [-64, -16, -36, 12, 8, 12, 1, -5, -4, 0, 1, 3], [-192, -40, -24, 44, 12, -18, -2, -17, 0, 6, 2, 3], [384, 144, 0, -44, -130, 4, 49, 28, 6, -24, -7, -4], [96, 8, 96, 36, -8, -10, -14, -1, 12, -2, -2, -5], [-64, -208, -352, 20, 126, 98, 11, -57, -22, 6, 15, 7]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 12, 'label': '1680.2.bl.c', 'level': 1680, 'maxp': 1999, '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': 6720, 'analytic_conductor': 13.414867539575104, 'char_conductor': 20, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 38, 'char_orbit_label': 'bl', 'char_order': 4, 'char_parity': 1, 'char_values': [1680, 4, [1471, 421, 1121, 337, 241], [2, 4, 4, 1, 4]], 'conrey_index': 127, 'cusp_dim': 720, 'dim': 72, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [11, 13], 'hecke_orbit_code': 2542654195344, 'hecke_orbit_dims': [4, 8, 12, 24, 24], 'label': '1680.2.bl', 'level': 1680, '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, 7], 'level_radical': 210, 'mf_dim': 816, 'mf_new_dim': 72, 'num_forms': 5, 'prim_orbit_index': 5, 'relative_dim': 36, 'sturm_bound': 768, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 24, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, -24, 0, 0, 0, 24, 0, 0, 0, 0, 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, 24, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 24, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 96, 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, -24, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, -24, 0, 0, 0, -192, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -24, 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, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 48, 0, 0, 0, 96, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 312, 0, 0, 0, 288, 0, 0, 0, 72, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, -48, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 24, 0, 0, 0, -48, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 192, 0, 0, 0, -144, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 24, 0, 0, 0, -192, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 312, 0, 0, 0, 0, 0, 0, 0, 312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, -264, 0, 0, 0, 432, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -312, 0, 0, 0, -48, 0, 0, 0, -96, 0, 0, 0, 360, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -96, 0, 0, 0, -384, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, -48, 0, 0, 0, 168, 0, 0, 0, -312, 0, 0, 0, 0, 0, 0, 0, -504, 0, 0, 0, -72, 0, 0, 0, -96, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 408, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, -96, 0, 0, 0, 144, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 360, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, -192, 0, 0, 0, -72, 0, 0, 0, 600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 240, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 72, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 787542
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 38, 'source_dim': 12, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '1680.2.bl.c', 'source_level': 1680, 'target_char_orbit': 38, 'target_dim': 12, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '1680.2.bl.c', 'target_level': 1680, 'twist_class_label': '1680.2.bl.c', 'twist_class_level': 1680, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 787543
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 38, 'source_dim': 12, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '1680.2.bl.c', 'source_level': 1680, 'target_char_orbit': 38, 'target_dim': 12, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '1680.2.bl.c', 'target_level': 1680, 'twist_class_label': '1680.2.bl.c', 'twist_class_level': 1680, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 787544
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 38, 'source_dim': 12, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '1680.2.bl.c', 'source_level': 1680, 'target_char_orbit': 38, 'target_dim': 12, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '1680.2.bl.c', 'target_level': 1680, 'twist_class_label': '1680.2.bl.c', 'twist_class_level': 1680, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 787545
    {'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 38, 'source_dim': 12, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '1680.2.bl.c', 'source_level': 1680, 'target_char_orbit': 38, 'target_dim': 12, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '1680.2.bl.c', 'target_level': 1680, 'twist_class_label': '1680.2.bl.c', 'twist_class_level': 1680, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2126350
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 9009741908936336, 'p': 2}
  • id: 2126351
    {'charpoly_factorization': [[[1, 0, 0, 0, 1], 3]], 'hecke_orbit_code': 9009741908936336, 'p': 3}
  • id: 2126352
    {'charpoly_factorization': [[[125, 0, 25, 8, 5, 0, 1], 2]], 'hecke_orbit_code': 9009741908936336, 'p': 5}
  • id: 2126353
    {'charpoly_factorization': [[[1, 0, 0, 0, 1], 3]], 'hecke_orbit_code': 9009741908936336, 'p': 7}
  • id: 2126354
    {'charpoly_factorization': [[[8, 0, 1], 6]], 'hecke_orbit_code': 9009741908936336, 'p': 11}
  • id: 2126355
    {'charpoly_factorization': [[[32, 96, 144, 32, 2, -2, 1], 2]], 'hecke_orbit_code': 9009741908936336, 'p': 13}
  • id: 2126356
    {'charpoly_factorization': [[[3200, -3840, 2304, -176, 2, 2, 1], 2]], 'hecke_orbit_code': 9009741908936336, 'p': 17}
  • id: 2126357
    {'charpoly_factorization': [[[-32, 0, 68, 0, -36, 0, 1], 2]], 'hecke_orbit_code': 9009741908936336, 'p': 19}
  • id: 2126358
    {'charpoly_factorization': [[[1600000000, 0, 0, 0, 5168656, 0, 0, 0, 4232, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009741908936336, 'p': 23}
  • id: 2126359
    {'charpoly_factorization': [[[1024, 0, 1040, 0, 72, 0, 1], 2]], 'hecke_orbit_code': 9009741908936336, 'p': 29}
  • id: 2126360
    {'charpoly_factorization': [[[3872, 0, 1796, 0, 132, 0, 1], 2]], 'hecke_orbit_code': 9009741908936336, 'p': 31}
  • id: 2126361
    {'charpoly_factorization': [[[2, -2, 1], 6]], 'hecke_orbit_code': 9009741908936336, 'p': 37}
  • id: 2126362
    {'charpoly_factorization': [[[400, -90, -4, 1], 4]], 'hecke_orbit_code': 9009741908936336, 'p': 41}
  • id: 2126363
    {'charpoly_factorization': [[[655360000, 0, 0, 0, 8687616, 0, 0, 0, 8576, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009741908936336, 'p': 43}
  • id: 2126364
    {'charpoly_factorization': [[[16777216, 0, 0, 0, 1904640, 0, 0, 0, 3200, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009741908936336, 'p': 47}
  • id: 2126365
    {'charpoly_factorization': [[[32, 224, 784, 400, 98, -14, 1], 2]], 'hecke_orbit_code': 9009741908936336, 'p': 53}
  • id: 2126366
    {'charpoly_factorization': [[[-8192, 0, 4160, 0, -144, 0, 1], 2]], 'hecke_orbit_code': 9009741908936336, 'p': 59}
  • id: 2126367
    {'charpoly_factorization': [[[-640, -116, 4, 1], 4]], 'hecke_orbit_code': 9009741908936336, 'p': 61}
  • id: 2126368
    {'charpoly_factorization': [[[16777216, 0, 0, 0, 1904640, 0, 0, 0, 3200, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009741908936336, 'p': 67}
  • id: 2126369
    {'charpoly_factorization': [[[881792, 0, 31184, 0, 336, 0, 1], 2]], 'hecke_orbit_code': 9009741908936336, 'p': 71}
  • id: 2126370
    {'charpoly_factorization': [[[468512, 50336, 2704, -2528, 450, -30, 1], 2]], 'hecke_orbit_code': 9009741908936336, 'p': 73}
  • id: 2126371
    {'charpoly_factorization': [[[-8192, 0, 4160, 0, -144, 0, 1], 2]], 'hecke_orbit_code': 9009741908936336, 'p': 79}
  • id: 2126372
    {'charpoly_factorization': [[[68719476736, 0, 0, 0, 144707584, 0, 0, 0, 24704, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 9009741908936336, 'p': 83}
  • id: 2126373
    {'charpoly_factorization': [[[6400, 0, 3684, 0, 228, 0, 1], 2]], 'hecke_orbit_code': 9009741908936336, 'p': 89}
  • id: 2126374
    {'charpoly_factorization': [[[32, 224, 784, 400, 98, -14, 1], 2]], 'hecke_orbit_code': 9009741908936336, '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': 38, 'hecke_orbit': 3, 'label': '1680.2.bl.c', 'level': 1680, '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: 32210503
    {'hecke_orbit_code': 9009741908936336, 'n': 1, 'trace_an': 12}
  • id: 32210504
    {'hecke_orbit_code': 9009741908936336, 'n': 2, 'trace_an': 0}
  • id: 32210505
    {'hecke_orbit_code': 9009741908936336, 'n': 3, 'trace_an': 0}
  • id: 32210506
    {'hecke_orbit_code': 9009741908936336, 'n': 4, 'trace_an': 0}
  • id: 32210507
    {'hecke_orbit_code': 9009741908936336, 'n': 5, 'trace_an': 0}
  • id: 32210508
    {'hecke_orbit_code': 9009741908936336, 'n': 6, 'trace_an': 0}
  • id: 32210509
    {'hecke_orbit_code': 9009741908936336, 'n': 7, 'trace_an': 0}
  • id: 32210510
    {'hecke_orbit_code': 9009741908936336, 'n': 8, 'trace_an': 0}
  • id: 32210511
    {'hecke_orbit_code': 9009741908936336, 'n': 9, 'trace_an': 0}
  • id: 32210512
    {'hecke_orbit_code': 9009741908936336, 'n': 10, 'trace_an': 0}
  • id: 32210513
    {'hecke_orbit_code': 9009741908936336, 'n': 11, 'trace_an': 0}
  • id: 32210514
    {'hecke_orbit_code': 9009741908936336, 'n': 12, 'trace_an': 0}
  • id: 32210515
    {'hecke_orbit_code': 9009741908936336, 'n': 13, 'trace_an': 4}
  • id: 32210516
    {'hecke_orbit_code': 9009741908936336, 'n': 14, 'trace_an': 0}
  • id: 32210517
    {'hecke_orbit_code': 9009741908936336, 'n': 15, 'trace_an': 0}
  • id: 32210518
    {'hecke_orbit_code': 9009741908936336, 'n': 16, 'trace_an': 0}
  • id: 32210519
    {'hecke_orbit_code': 9009741908936336, 'n': 17, 'trace_an': -4}
  • id: 32210520
    {'hecke_orbit_code': 9009741908936336, 'n': 18, 'trace_an': 0}
  • id: 32210521
    {'hecke_orbit_code': 9009741908936336, 'n': 19, 'trace_an': 0}
  • id: 32210522
    {'hecke_orbit_code': 9009741908936336, 'n': 20, 'trace_an': 0}
  • id: 32210523
    {'hecke_orbit_code': 9009741908936336, 'n': 21, 'trace_an': -12}
  • id: 32210524
    {'hecke_orbit_code': 9009741908936336, 'n': 22, 'trace_an': 0}
  • id: 32210525
    {'hecke_orbit_code': 9009741908936336, 'n': 23, 'trace_an': 0}
  • id: 32210526
    {'hecke_orbit_code': 9009741908936336, 'n': 24, 'trace_an': 0}
  • id: 32210527
    {'hecke_orbit_code': 9009741908936336, 'n': 25, 'trace_an': -20}
  • id: 32210528
    {'hecke_orbit_code': 9009741908936336, 'n': 26, 'trace_an': 0}
  • id: 32210529
    {'hecke_orbit_code': 9009741908936336, 'n': 27, 'trace_an': 0}
  • id: 32210530
    {'hecke_orbit_code': 9009741908936336, 'n': 28, 'trace_an': 0}
  • id: 32210531
    {'hecke_orbit_code': 9009741908936336, 'n': 29, 'trace_an': 0}
  • id: 32210532
    {'hecke_orbit_code': 9009741908936336, 'n': 30, 'trace_an': 0}
  • id: 32210533
    {'hecke_orbit_code': 9009741908936336, 'n': 31, 'trace_an': 0}
  • id: 32210534
    {'hecke_orbit_code': 9009741908936336, 'n': 32, 'trace_an': 0}
  • id: 32210535
    {'hecke_orbit_code': 9009741908936336, 'n': 33, 'trace_an': 24}
  • id: 32210536
    {'hecke_orbit_code': 9009741908936336, 'n': 34, 'trace_an': 0}
  • id: 32210537
    {'hecke_orbit_code': 9009741908936336, 'n': 35, 'trace_an': 0}
  • id: 32210538
    {'hecke_orbit_code': 9009741908936336, 'n': 36, 'trace_an': 0}
  • id: 32210539
    {'hecke_orbit_code': 9009741908936336, 'n': 37, 'trace_an': 12}
  • id: 32210540
    {'hecke_orbit_code': 9009741908936336, 'n': 38, 'trace_an': 0}
  • id: 32210541
    {'hecke_orbit_code': 9009741908936336, 'n': 39, 'trace_an': 0}
  • id: 32210542
    {'hecke_orbit_code': 9009741908936336, 'n': 40, 'trace_an': 0}
  • id: 32210543
    {'hecke_orbit_code': 9009741908936336, 'n': 41, 'trace_an': 16}
  • id: 32210544
    {'hecke_orbit_code': 9009741908936336, 'n': 42, 'trace_an': 0}
  • id: 32210545
    {'hecke_orbit_code': 9009741908936336, 'n': 43, 'trace_an': 0}
  • id: 32210546
    {'hecke_orbit_code': 9009741908936336, 'n': 44, 'trace_an': 0}
  • id: 32210547
    {'hecke_orbit_code': 9009741908936336, 'n': 45, 'trace_an': 4}
  • id: 32210548
    {'hecke_orbit_code': 9009741908936336, 'n': 46, 'trace_an': 0}
  • id: 32210549
    {'hecke_orbit_code': 9009741908936336, 'n': 47, 'trace_an': 0}
  • id: 32210550
    {'hecke_orbit_code': 9009741908936336, 'n': 48, 'trace_an': 0}
  • id: 32210551
    {'hecke_orbit_code': 9009741908936336, 'n': 49, 'trace_an': 0}
  • id: 32210552
    {'hecke_orbit_code': 9009741908936336, 'n': 50, 'trace_an': 0}
  • id: 32210553
    {'hecke_orbit_code': 9009741908936336, 'n': 51, 'trace_an': 0}
  • id: 32210554
    {'hecke_orbit_code': 9009741908936336, 'n': 52, 'trace_an': 0}
  • id: 32210555
    {'hecke_orbit_code': 9009741908936336, 'n': 53, 'trace_an': 28}
  • id: 32210556
    {'hecke_orbit_code': 9009741908936336, 'n': 54, 'trace_an': 0}
  • id: 32210557
    {'hecke_orbit_code': 9009741908936336, 'n': 55, 'trace_an': 0}
  • id: 32210558
    {'hecke_orbit_code': 9009741908936336, 'n': 56, 'trace_an': 0}
  • id: 32210559
    {'hecke_orbit_code': 9009741908936336, 'n': 57, 'trace_an': -16}
  • id: 32210560
    {'hecke_orbit_code': 9009741908936336, 'n': 58, 'trace_an': 0}
  • id: 32210561
    {'hecke_orbit_code': 9009741908936336, 'n': 59, 'trace_an': 0}
  • id: 32210562
    {'hecke_orbit_code': 9009741908936336, 'n': 60, 'trace_an': 0}
  • id: 32210563
    {'hecke_orbit_code': 9009741908936336, 'n': 61, 'trace_an': -16}
  • id: 32210564
    {'hecke_orbit_code': 9009741908936336, 'n': 62, 'trace_an': 0}
  • id: 32210565
    {'hecke_orbit_code': 9009741908936336, 'n': 63, 'trace_an': 0}
  • id: 32210566
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  • id: 32210720
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  • id: 32210721
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