Newform data - 3120.2.r.n

Formats: - HTML - YAML - JSON - 2026-01-16T16:55:47.727107

• 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': 12480, 'analytic_conductor': 24.91332543063948, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 65, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 2, 'char_parity': 1, 'char_values': [3120, 2, [1951, 2341, 2081, 2497, 2641], [2, 2, 2, 1, 1]], 'cm_discs': [], 'conrey_index': 2209, 'dim': 12, 'field_disc': 2593100598870016, 'field_disc_factorization': [[2, 20], [223, 4]], 'field_poly': [64, 0, -64, 0, 36, 0, -16, 0, 9, 0, -4, 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, [-256, 0, 208, 0, -32, 0, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58547963420478512, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 512, 'hecke_ring_index_factorization': [[2, 9]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 13, 2, 1, 2, 0], [1, 1, 65, 4, 1, 2, 0], [1, 1, 5, 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': False, 'label': '3120.2.r.n', 'level': 3120, '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': '195.2.h.c', 'nf_label': '12.0.2593100598870016.1', 'prim_orbit_index': 4, 'qexp_display': 'q+\\beta _{1}q^{3}-\\beta _{7}q^{5}+(\\beta _{2}+\\beta _{4}+\\beta _{8})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3120.2.r', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1582723244058379860, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.035', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.038', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1315.981', 'prec': 27}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '222594.081', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.762', 'prec': 17}, 'traces': [12, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, -24, 0, 0, 0, 0, 0, -8, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 32, 0, 0, 0, -16, 0, 0, 0, 0, 0, 8, 0, 0, 0, 28, 0, 0, 0, 48, 0, 0, 0, 0, 0, -8, 0, 0, 0, 64, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 72, 0, 0, 0, 0, 0, 8, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, -16, 0, -48, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 16, 0, 0, 0, 0, 0, -16, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, -72, 0, 0, 0, -24, 0, 0, 0, 0, 0, 16, 0, 0, 0, 24, 0, 0, 0, -96, 0, 0, 0, 0, 0, -24, 0, 0, 0, 112, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -4, 0, 0, 0, 0, 0, 48, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, -148, 0, 0, 0, 0, 0, -128, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, -112, 0, 0, 0, 8, 0, 0, 0, 0, 0, 32, 0, 0, 0, 8, 0, 0, 0, -48, 0, 0, 0, 0, 0, 152, 0, 0, 0, 64, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 16, 0, 0, 0, 0, 0, -28, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 56, 0, -128, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, -80, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, -44, 0, 0, 0, -88, 0, 0, 0, 0, 0, 128, 0, 0, 0, -168, 0, 0, 0, -32, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 200, 0, 0, 0, 0, 0, -224, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -48, 0, -200, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, -8, 0, 0, 0, 0, 0, -80, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, -184, 0, 144, 0, 0, 0, 32, 0, 0, 0, 0, 0, -176, 0, 0, 0, -28, 0, 0, 0, -192, 0, 0, 0, 0, 0, -112, 0, 0, 0, 32, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -48, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, -144, 0, -224, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 32, 0, 0, 0, 0, 0, -80, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 88, 0, 0, 0, -16, 0, 0, 0, 0, 0, -64, 0, 0, 0, 144, 0, 0, 0, 112, 0, 0, 0, 0, 0, -120, 0, 0, 0, -12, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, -56, 0, 0, 0, 0, 0, -96, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -80, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 56, 0, 0, 0, 0, 0, -104, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 296, 0, 192, 0, 0, 0, 48, 0, 0, 0, 0, 0, 20, 0, 0, 0, 144, 0, 0, 0, -48, 0, 0, 0, 0, 0, -72, 0, 0, 0, 16, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -248, 0, 0, 0, 0, 0, 104, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -8, 0, 368, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 16, 0, 0, 0, 0, 0, 40, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 272, 0, -268, 0, 0, 0, -88, 0, 0, 0, 0, 0, 288, 0, 0, 0, 96, 0, 0, 0, -192, 0, 0, 0, 0, 0, 96, 0, 0, 0, 64, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, -88, 0, 0, 0, 0, 0, 112, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, -320, 0, 240, 0, 0, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 408, 0, 0, 0, 0, 0, -192, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 16, 0, 0, 0, 48, 0, 0, 0, 0, 0, 80, 0, 0, 0, -112, 0, 0, 0, -248, 0, 0, 0, 0, 0, 56, 0, 0, 0, 240, 0, 400, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 112, 0, 0, 0, 0, 0, -352, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -144, 0, -304, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, -160, 0, 0, 0, -156, 0, 0, 0, 0, 0, -448, 0, 0, 0, -152, 0, 0, 0, -112, 0, 0, 0, 0, 0, 112, 0, 0, 0, -312, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 64, 0, 0, 0, 0, 0, -432, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 48, 0, -40, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 64, 0, 0, 0, 0, 0, -40, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 192, 0, 0, 0, -120, 0, 0, 0, 0, 0, -104, 0, 0, 0, -136, 0, 0, 0, 84, 0, 0, 0, 0, 0, -176, 0, 0, 0, -528, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 304, 0, 0, 0, 8, 0, 0, 0, 0, 0, -80, 0, 0, 0, 200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -280, 0, 0, 0, 0, 0, 0, 0, 344, 0, -16, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 176, 0, 0, 0, 0, 0, 48, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 648, 0, 0, 0, 16, 0, 0, 0, 0, 0, -16, 0, 0, 0, -96, 0, 0, 0, 80, 0, 0, 0, 0, 0, -272, 0, 0, 0, -224, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, -24, 0, 0, 0, 0, 0, 336, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -240, 0, 352, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, -400, 0, 0, 0, 0, 0, -16, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, -80, 0, 0, 0, 80, 0, 0, 0, 0, 0, -184, 0, 0, 0, -36, 0, 0, 0, 72, 0, 0, 0, 0, 0, -208, 0, 0, 0, -32, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 8, 0, 0, 0, 0, 0, 208, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 188, 0, 0, 0, 0, 0, 0, 0, -64, 0, 368, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 464, 0, 0, 0, -16, 0, 0, 0, 0, 0, 16, 0, 0, 0, 416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, -8, 0, 0, 0, 32, 0, 0, 0, 0, 0, -224, 0, 0, 0, -24, 0, 0, 0, -160, 0, 0, 0, 0, 0, -192, 0, 0, 0, 400, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, -240, 0, 0, 0, 0, 0, 96, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 352, 0, 48, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 228, 0, 0, 0, 0, 0, 336, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 128, 0, 0, 0, -32, 0, 0, 0, 0, 0, -112, 0, 0, 0, -8, 0, 0, 0, -24, 0, 0, 0, 0, 0, 184, 0, 0, 0, 48, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, 240, 0, 0, 0, 0, 0, 288, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -232, 0, 224, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 416, 0, 0, 0, 0, 0, -104, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 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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-4, 0, 8], [0, 0, -13, 0, 0, 0, 0, 4, 0, -4, 0, 0], [0, 0, 0, 0, 1, 0, 0, -9, 1, 9, 0, 0], [10, 0, 0, 6, 4, 0, -6, 4, -4, 4, 0, -8], [0, -4, 0, 6, -6, 0, 6, -6, 6, -6, 12, 0], [0, 0, 0, 0, -2, 0, 0, -2, 2, -2, 4, 0], [0, -12, 0, 6, -2, 0, 6, -2, 2, -2, 4, 0], [32, 0, 0, 3, 1, 0, -3, 1, -1, 1, 0, -2], [6, 0, 0, 1, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -6, 0, 3, 0, 3, 0, 0], [0, -6, 0, 6, -3, 0, 6, -3, 3, -3, 6, 0], [0, 0, 0, 0, 0, 12, 0, -7, 0, -7, 0, 0], [0, 0, 5, 0, -2, 0, 0, -10, -2, 10, 0, 0], [0, 2, 0, 2, -3, 0, 2, -3, 3, -3, 6, 0], [0, 0, 11, 0, 1, 0, 0, 0, 1, 0, 0, 0], [20, 0, 0, -5, 1, 0, 5, 1, -1, 1, 0, -2], [0, 0, -2, 0, -2, 0, 0, -5, -2, 5, 0, 0], [0, 0, 11, 0, -10, 0, 0, 0, -10, 0, 0, 0], [16, 0, 0, 0, -4, 0, 0, -4, 4, -4, 0, 8], [0, 12, 0, 6, -4, 0, 6, -4, 4, -4, 8, 0], [0, 0, 0, 0, -4, 6, 0, 0, 4, 0, 0, 0], [0, 10, 0, 2, -3, 0, 2, -3, 3, -3, 6, 0], [0, 0, 0, 0, 0, -7, 0, 4, 0, 4, 0, 0], [0, 0, 0, 0, -12, 12, 0, 0, 12, 0, 0, 0], [-12, 0, 0, -3, 1, 0, 3, 1, -1, 1, 0, -2], [0, 0, -6, 0, -11, 0, 0, -5, -11, 5, 0, 0], [-24, 0, 0, 6, 2, 0, -6, 2, -2, 2, 0, -4], [18, 0, 0, 8, 4, 0, -8, 4, -4, 4, 0, -8], [0, 0, 0, 0, -4, 17, 0, 5, 4, 5, 0, 0], [0, 0, 0, 0, -8, -8, 0, -13, 8, -13, 0, 0], [0, 2, 0, -3, 2, 0, -3, 2, -2, 2, -4, 0], [36, 0, 0, -2, -5, 0, 2, -5, 5, -5, 0, 10], [0, 0, -5, 0, 3, 0, 0, -4, 3, 4, 0, 0], [8, 0, 0, 6, -4, 0, -6, -4, 4, -4, 0, 8], [0, 6, 0, -2, -5, 0, -2, -5, 5, -5, 10, 0], [0, 0, 6, 0, 2, 0, 0, -7, 2, 7, 0, 0], [0, 0, -13, 0, 0, 0, 0, 4, 0, -4, 0, 0], [-18, 0, 0, 7, 3, 0, -7, 3, -3, 3, 0, -6], [0, -20, 0, -2, 4, 0, -2, 4, -4, 4, -8, 0], [0, 0, 3, 0, 3, 0, 0, 2, 3, -2, 0, 0], [0, 0, 0, 0, -16, 12, 0, 2, 16, 2, 0, 0], [0, 0, 0, 0, 4, 5, 0, -10, -4, -10, 0, 0], [0, 8, 0, -4, 0, 0, -4, 0, 0, 0, 0, 0], [0, 0, 1, 0, 6, 0, 0, 10, 6, -10, 0, 0], [-28, 0, 0, -4, 0, 0, 4, 0, 0, 0, 0, 0], [0, 0, 0, 0, 8, 0, 0, -1, -8, -1, 0, 0], [0, -4, 0, 3, 3, 0, 3, 3, -3, 3, -6, 0], [0, 14, 0, -6, 7, 0, -6, 7, -7, 7, -14, 0], [0, 0, 0, 0, 12, -10, 0, -6, -12, -6, 0, 0], [0, 10, 0, 8, 3, 0, 8, 3, -3, 3, -6, 0], [0, 0, 14, 0, 6, 0, 0, -13, 6, 13, 0, 0], [0, -4, 0, -4, -4, 0, -4, -4, 4, -4, 8, 0], [0, 0, 0, 0, -8, -8, 0, -7, 8, -7, 0, 0], [-40, 0, 0, -6, -2, 0, 6, -2, 2, -2, 0, 4], [0, 0, -12, 0, 7, 0, 0, 3, 7, -3, 0, 0], [-30, 0, 0, -8, -2, 0, 8, -2, 2, -2, 0, 4], [0, 0, 0, 0, 8, -7, 0, 2, -8, 2, 0, 0], [0, 10, 0, 6, -7, 0, 6, -7, 7, -7, 14, 0], [0, 0, 0, 0, 0, -3, 0, -13, 0, -13, 0, 0], [0, 4, 0, 5, 1, 0, 5, 1, -1, 1, -2, 0], [0, 0, 0, 0, 8, -2, 0, -9, -8, -9, 0, 0], [10, 0, 0, -7, -4, 0, 7, -4, 4, -4, 0, 8], [0, -50, 0, 2, -1, 0, 2, -1, 1, -1, 2, 0], [-6, 0, 0, -6, -2, 0, 6, -2, 2, -2, 0, 4], [0, 32, 0, -2, -4, 0, -2, -4, 4, -4, 8, 0], [0, 0, -1, 0, 8, 0, 0, -10, 8, 10, 0, 0], [0, 0, 0, 0, -12, 9, 0, 6, 12, 6, 0, 0], [0, 0, 0, 0, 8, 4, 0, -8, -8, -8, 0, 0], [0, 0, 0, 4, -6, 0, 4, -6, 6, -6, 12, 0], [-2, 0, 0, 6, -4, 0, -6, -4, 4, -4, 0, 8], [0, 0, 3, 0, 6, 0, 0, -12, 6, 12, 0, 0], [0, 0, -8, 0, -16, 0, 0, -5, -16, 5, 0, 0], [-6, 0, 0, -4, -4, 0, 4, -4, 4, -4, 0, 8], [0, 0, 0, 0, 0, -11, 0, 13, 0, 13, 0, 0], [0, 0, 0, 0, 16, 2, 0, 5, -16, 5, 0, 0], [0, 0, -3, 0, -5, 0, 0, -4, -5, 4, 0, 0], [0, -16, 0, -8, 10, 0, -8, 10, -10, 10, -20, 0], [30, 0, 0, 4, 2, 0, -4, 2, -2, 2, 0, -4], [0, -38, 0, -4, 3, 0, -4, 3, -3, 3, -6, 0], [4, 0, 0, -10, -4, 0, 10, -4, 4, -4, 0, 8], [0, -8, 0, -8, 2, 0, -8, 2, -2, 2, -4, 0], [0, 0, 0, 0, -8, -11, 0, -14, 8, -14, 0, 0], [0, 36, 0, 2, -4, 0, 2, -4, 4, -4, 8, 0], [12, 0, 0, -2, 2, 0, 2, 2, -2, 2, 0, -4], [0, 0, 0, 0, 12, -9, 0, -1, -12, -1, 0, 0], [54, 0, 0, -1, -1, 0, 1, -1, 1, -1, 0, 2], [0, -34, 0, 7, -6, 0, 7, -6, 6, -6, 12, 0], [0, 0, 3, 0, 2, 0, 0, 4, 2, -4, 0, 0], [0, 0, 0, 0, -4, -6, 0, -4, 4, -4, 0, 0], [0, 0, 4, 0, 8, 0, 0, 1, 8, -1, 0, 0], [8, 0, 0, 0, -2, 0, 0, -2, 2, -2, 0, 4], [12, 0, 0, -1, -1, 0, 1, -1, 1, -1, 0, 2], [0, 0, -1, 0, 10, 0, 0, -2, 10, 2, 0, 0], [26, 0, 0, 1, 4, 0, -1, 4, -4, 4, 0, -8], [0, 8, 0, -2, 8, 0, -2, 8, -8, 8, -16, 0], [0, 0, 0, 0, 0, -2, 0, 2, 0, 2, 0, 0], [0, 0, 10, 0, -4, 0, 0, 5, -4, -5, 0, 0], [-20, 0, 0, 3, 3, 0, -3, 3, -3, 3, 0, -6], [0, 0, -19, 0, 1, 0, 0, 8, 1, -8, 0, 0], [0, 0, 0, 0, 0, -7, 0, 10, 0, 10, 0, 0], [0, 0, 0, 0, -8, -5, 0, -15, 8, -15, 0, 0], [0, 4, 0, 6, -6, 0, 6, -6, 6, -6, 12, 0], [0, 0, 14, 0, 11, 0, 0, -3, 11, 3, 0, 0], [0, 0, 0, 0, 16, -14, 0, -3, -16, -3, 0, 0], [0, 0, -7, 0, -6, 0, 0, -4, -6, 4, 0, 0], [4, 0, 0, 10, 5, 0, -10, 5, -5, 5, 0, -10], [0, -18, 0, 1, 6, 0, 1, 6, -6, 6, -12, 0], [0, 0, 0, 0, -4, -1, 0, -4, 4, -4, 0, 0], [-16, 0, 0, 0, 1, 0, 0, 1, -1, 1, 0, -2], [0, 0, 13, 0, -7, 0, 0, -6, -7, 6, 0, 0], [0, -18, 0, -3, 10, 0, -3, 10, -10, 10, -20, 0], [0, 0, 4, 0, -7, 0, 0, -9, -7, 9, 0, 0], [0, -24, 0, -4, 6, 0, -4, 6, -6, 6, -12, 0], [0, -20, 0, 2, 6, 0, 2, 6, -6, 6, -12, 0], [0, 0, 0, 0, 0, 22, 0, 4, 0, 4, 0, 0], [0, -20, 0, -6, 8, 0, -6, 8, -8, 8, -16, 0], [0, 0, -6, 0, 0, 0, 0, -13, 0, 13, 0, 0], [18, 0, 0, 3, 2, 0, -3, 2, -2, 2, 0, -4], [0, 0, 0, 0, 0, 4, 0, 5, 0, 5, 0, 0], [0, 0, 0, 0, 8, -14, 0, 1, -8, 1, 0, 0], [0, 0, -7, 0, -5, 0, 0, -14, -5, 14, 0, 0], [0, -30, 0, -2, -3, 0, -2, -3, 3, -3, 6, 0], [0, 0, 0, 10, 9, 0, -10, 9, -9, 9, 0, -18], [0, 0, -17, 0, -3, 0, 0, 14, -3, -14, 0, 0], [0, 0, -10, 0, -13, 0, 0, 5, -13, -5, 0, 0], [-16, 0, 0, -2, 2, 0, 2, 2, -2, 2, 0, -4], [0, 30, 0, -4, 1, 0, -4, 1, -1, 1, -2, 0], [0, 0, 13, 0, -7, 0, 0, -4, -7, 4, 0, 0], [0, 0, -11, 0, -12, 0, 0, -2, -12, 2, 0, 0], [0, 0, 0, 0, -8, 2, 0, -6, 8, -6, 0, 0], [0, 0, 0, 0, 4, 14, 0, 18, -4, 18, 0, 0], [12, 0, 0, 7, 9, 0, -7, 9, -9, 9, 0, -18], [0, 16, 0, 6, -12, 0, 6, -12, 12, -12, 24, 0], [0, 0, 0, 0, 0, 13, 0, -15, 0, -15, 0, 0], [0, 12, 0, -10, 6, 0, -10, 6, -6, 6, -12, 0], [0, 0, 0, 0, 0, 18, 0, 10, 0, 10, 0, 0], [0, 0, -5, 0, -19, 0, 0, -10, -19, 10, 0, 0], [4, 0, 0, -12, -2, 0, 12, -2, 2, -2, 0, 4], [0, -18, 0, 2, -1, 0, 2, -1, 1, -1, 2, 0], [0, 0, 8, 0, -8, 0, 0, 7, -8, -7, 0, 0], [0, 0, 0, 0, 8, -7, 0, 7, -8, 7, 0, 0], [-10, 0, 0, -4, 8, 0, 4, 8, -8, 8, 0, -16], [6, 0, 0, 4, 2, 0, -4, 2, -2, 2, 0, -4], [0, 16, 0, -4, 6, 0, -4, 6, -6, 6, -12, 0], [0, 0, -2, 0, 10, 0, 0, 1, 10, -1, 0, 0], [0, 0, 0, 0, 12, -5, 0, 2, -12, 2, 0, 0], [0, -56, 0, -4, 4, 0, -4, 4, -4, 4, -8, 0], [-22, 0, 0, 1, 5, 0, -1, 5, -5, 5, 0, -10], [16, 0, 0, -10, -6, 0, 10, -6, 6, -6, 0, 12], [0, 58, 0, -5, 2, 0, -5, 2, -2, 2, -4, 0], [36, 0, 0, -5, -7, 0, 5, -7, 7, -7, 0, 14], [0, 0, -3, 0, -9, 0, 0, 2, -9, -2, 0, 0], [0, -16, 0, -4, -4, 0, -4, -4, 4, -4, 8, 0], [0, 0, 4, 0, -6, 0, 0, -5, -6, 5, 0, 0], [0, 0, 0, -6, -10, 0, 6, -10, 10, -10, 0, 20]], 'char_orbit_index': 18, 'field_poly': [64, 0, -64, 0, 36, 0, -16, 0, 9, 0, -4, 0, 1], 'hecke_orbit_code': 58547963420478512, 'hecke_ring_character_values': [[1951, [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [2341, [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [2081, [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [2497, [-1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [2641, [-1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 80, 160, 4, 160, 32, 8, 160, 40, 80, 80, 16], '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, 0, -1, 0, 1, 1, 0, 1, 1, 1, 0, 0], [2, -2, 0, -1, 1, 0, 1, 1, -1, 1, -2, 0], [0, 0, -3, 0, 1, 1, 0, 3, -3, -1, 0, 0], [-2, 6, 0, -5, 1, 0, -1, 1, -1, 1, -4, 2], [0, 0, 3, 0, 9, -3, 0, 1, -3, -3, 0, 0], [6, -6, 0, -3, -1, 0, -5, -1, 1, -1, -6, 8], [0, 0, 11, 0, 7, -1, 0, 13, 3, 9, 0, 0], [-30, -54, 0, -3, -1, 0, 1, -1, 1, -1, -4, 6], [0, 0, -3, 0, -17, -21, 0, 15, -21, 3, 0, 0], [-54, -26, 0, -13, 1, 0, -19, 1, -1, 1, 14, -16], [0, 0, 13, 0, 9, -63, 0, -53, -19, 15, 0, 0]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-32, 0, -12, 0, 8, 0, -1, 0, -4, 0, -1, 0], [0, -368, 0, 52, 0, -28, 0, 41, 0, -16, 0, 1], [-16, 0, 6, 0, -5, 0, 2, 0, -1, 0, 0, 0], [0, 96, 0, 36, 0, 36, 0, 3, 0, -8, 0, 3], [0, -80, 0, 52, 0, -20, 0, 9, 0, -8, 0, 1], [16, 0, -8, 0, 6, 0, -5, 0, 2, 0, -1, 0], [0, 192, 0, -108, 0, 52, 0, -9, 0, 24, 0, -9], [0, 124, 0, -86, 0, 24, 0, -13, 0, 8, 0, -3], [0, -56, 0, 104, 0, -56, 0, 27, 0, -12, 0, 7], [352, -80, -248, 120, 72, -30, -44, 25, 24, -10, -4, 5], [32, -16, -40, 24, 12, -6, -2, 5, 4, -2, -2, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 12, 'label': '3120.2.r.n', 'level': 3120, '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': 12480, 'analytic_conductor': 24.91332543063948, 'char_conductor': 65, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 2, 'char_parity': 1, 'char_values': [3120, 2, [1951, 2341, 2081, 2497, 2641], [2, 2, 2, 1, 1]], 'conrey_index': 2209, 'cusp_dim': 648, 'dim': 84, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [7], 'hecke_orbit_code': 1168264662064, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 6, 6, 8, 8, 10, 10, 12, 12], 'label': '3120.2.r', 'level': 3120, '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': 696, 'mf_new_dim': 84, 'num_forms': 14, 'prim_orbit_index': 4, 'relative_dim': 84, 'sturm_bound': 1344, 'trace_bound': 25, 'trace_display': [0, 0, 0, 0], 'traces': [84, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68, 0, -24, 0, 0, 0, 32, 0, 0, 0, 0, 0, 8, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 88, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 16, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 40, 0, 0, 0, 0, 0, 16, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 72, 0, 0, 0, -24, 0, 0, 0, 0, 0, -48, 0, 0, 0, 8, 0, 0, 0, -80, 0, 0, 0, 0, 0, 16, 0, 0, 0, -32, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -4, 0, 0, 0, 0, 0, 24, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 40, 0, -8, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 4, 0, 0, 0, 0, 0, 56, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, -96, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, -100, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -104, 0, 8, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 176, 0, 0, 0, 0, 0, 32, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, -184, 0, -68, 0, 0, 0, 48, 0, 0, 0, 0, 0, 312, 0, 0, 0, -32, 0, 0, 0, 24, 0, 0, 0, 0, 0, 32, 0, 0, 0, 128, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, -8, 0, 0, 0, 0, 0, -288, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -48, 0, -40, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, -8, 0, 0, 0, 0, 0, -120, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, -40, 0, 0, 0, 320, 0, 0, 0, 0, 0, -64, 0, 0, 0, -12, 0, 0, 0, 32, 0, 0, 0, 0, 0, 216, 0, 0, 0, -48, 0, 152, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, -160, 0, -32, 0, 0, 0, 0, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 88, 0, 0, 0, 0, 0, -24, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, -104, 0, 0, 0, -64, 0, 0, 0, 0, 0, -88, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, -84, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 48, 0, 0, 0, 0, 0, 376, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -304, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 24, 0, 0, 0, 0, 0, 16, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 112, 0, 0, 0, -216, 0, 0, 0, 0, 0, 12, 0, 0, 0, 96, 0, 0, 0, -80, 0, 0, 0, 0, 0, -16, 0, 0, 0, -120, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, -288, 0, 0, 0, 0, 0, 56, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 40, 0, 224, 0, 0, 0, 0, 0, 0, 0, 248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -208, 0, -212, 0, 0, 0, -200, 0, 0, 0, 0, 0, 528, 0, 0, 0, 88, 0, 0, 0, 232, 0, 0, 0, 0, 0, 168, 0, 0, 0, -64, 0, -344, 0, 0, 0, 0, 0, 0, 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: 1050800
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 12, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3120.2.r.n', 'source_level': 3120, 'target_char_orbit': 8, 'target_dim': 12, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '195.2.h.c', 'target_level': 195, 'twist_class_label': '195.2.h.c', 'twist_class_level': 195, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1050801
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 12, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3120.2.r.n', 'source_level': 3120, 'target_char_orbit': 8, 'target_dim': 12, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '195.2.h.c', 'target_level': 195, 'twist_class_label': '195.2.h.c', 'twist_class_level': 195, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1050802
    {'conductor': 52, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 12, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3120.2.r.n', 'source_level': 3120, 'target_char_orbit': 8, 'target_dim': 12, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '195.2.h.c', 'target_level': 195, 'twist_class_label': '195.2.h.c', 'twist_class_level': 195, 'twisting_char_label': '52.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1050803
    {'conductor': 260, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 12, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3120.2.r.n', 'source_level': 3120, 'target_char_orbit': 8, 'target_dim': 12, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '195.2.h.c', 'target_level': 195, 'twist_class_label': '195.2.h.c', 'twist_class_level': 195, 'twisting_char_label': '260.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 1050804
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 12, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3120.2.r.n', 'source_level': 3120, 'target_char_orbit': 8, 'target_dim': 12, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '585.2.h.g', 'target_level': 585, 'twist_class_label': '195.2.h.c', 'twist_class_level': 195, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1050805
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 12, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3120.2.r.n', 'source_level': 3120, 'target_char_orbit': 8, 'target_dim': 12, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '585.2.h.g', 'target_level': 585, 'twist_class_label': '195.2.h.c', 'twist_class_level': 195, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1050806
    {'conductor': 156, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 12, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3120.2.r.n', 'source_level': 3120, 'target_char_orbit': 8, 'target_dim': 12, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '585.2.h.g', 'target_level': 585, 'twist_class_label': '195.2.h.c', 'twist_class_level': 195, 'twisting_char_label': '156.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1050807
    {'conductor': 780, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 12, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3120.2.r.n', 'source_level': 3120, 'target_char_orbit': 8, 'target_dim': 12, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '585.2.h.g', 'target_level': 585, 'twist_class_label': '195.2.h.c', 'twist_class_level': 195, 'twisting_char_label': '780.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1050808
    {'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 12, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3120.2.r.n', 'source_level': 3120, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '975.2.b.j', 'target_level': 975, 'twist_class_label': '195.2.h.c', 'twist_class_level': 195, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1050809
    {'conductor': 260, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 12, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3120.2.r.n', 'source_level': 3120, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '975.2.b.j', 'target_level': 975, 'twist_class_label': '195.2.h.c', 'twist_class_level': 195, 'twisting_char_label': '260.p', 'twisting_char_orbit': 16, 'weight': 2}
  • id: 1050810
    {'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 12, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3120.2.r.n', 'source_level': 3120, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '975.2.b.l', 'target_level': 975, 'twist_class_label': '195.2.h.c', 'twist_class_level': 195, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1050811
    {'conductor': 260, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 12, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3120.2.r.n', 'source_level': 3120, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '975.2.b.l', 'target_level': 975, 'twist_class_label': '195.2.h.c', 'twist_class_level': 195, 'twisting_char_label': '260.p', 'twisting_char_orbit': 16, 'weight': 2}
  • id: 1050812
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 18, 'source_dim': 12, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3120.2.r.n', 'source_level': 3120, 'target_char_orbit': 18, 'target_dim': 12, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '3120.2.r.n', 'target_level': 3120, 'twist_class_label': '195.2.h.c', 'twist_class_level': 195, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1050813
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 12, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3120.2.r.n', 'source_level': 3120, 'target_char_orbit': 18, 'target_dim': 12, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '3120.2.r.n', 'target_level': 3120, 'twist_class_label': '195.2.h.c', 'twist_class_level': 195, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1050814
    {'conductor': 13, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 12, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3120.2.r.n', 'source_level': 3120, 'target_char_orbit': 18, 'target_dim': 12, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '3120.2.r.n', 'target_level': 3120, 'twist_class_label': '195.2.h.c', 'twist_class_level': 195, 'twisting_char_label': '13.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1050815
    {'conductor': 65, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 12, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '3120.2.r.n', 'source_level': 3120, 'target_char_orbit': 18, 'target_dim': 12, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '3120.2.r.n', 'target_level': 3120, 'twist_class_label': '195.2.h.c', 'twist_class_level': 195, 'twisting_char_label': '65.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3016275
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 58547963420478512, 'p': 2}
  • id: 3016276
    {'charpoly_factorization': [[[1, 0, 1], 6]], 'hecke_orbit_code': 58547963420478512, 'p': 3}
  • id: 3016277
    {'charpoly_factorization': [[[15625, 0, -1250, 0, 675, 0, -164, 0, 27, 0, -2, 0, 1], 1]], 'hecke_orbit_code': 58547963420478512, 'p': 5}
  • id: 3016278
    {'charpoly_factorization': [[[-256, 0, 208, 0, -32, 0, 1], 2]], 'hecke_orbit_code': 58547963420478512, 'p': 7}
  • id: 3016279
    {'charpoly_factorization': [[[64, 0, 84, 0, 20, 0, 1], 2]], 'hecke_orbit_code': 58547963420478512, 'p': 11}
  • id: 3016280
    {'charpoly_factorization': [[[4826809, 0, 742586, 0, 57967, 0, 3500, 0, 343, 0, 26, 0, 1], 1]], 'hecke_orbit_code': 58547963420478512, 'p': 13}
  • id: 3016281
    {'charpoly_factorization': [[[16384, 0, 2192, 0, 88, 0, 1], 2]], 'hecke_orbit_code': 58547963420478512, 'p': 17}
  • id: 3016282
    {'charpoly_factorization': [[[6400, 0, 1232, 0, 64, 0, 1], 2]], 'hecke_orbit_code': 58547963420478512, 'p': 19}
  • id: 3016283
    {'charpoly_factorization': [[[16, 0, 1], 6]], 'hecke_orbit_code': 58547963420478512, 'p': 23}
  • id: 3016284
    {'charpoly_factorization': [[[-104, -28, 6, 1], 4]], 'hecke_orbit_code': 58547963420478512, 'p': 29}
  • id: 3016285
    {'charpoly_factorization': [[[43264, 0, 6224, 0, 160, 0, 1], 2]], 'hecke_orbit_code': 58547963420478512, 'p': 31}
  • id: 3016286
    {'charpoly_factorization': [[[-256, 0, 2304, 0, -132, 0, 1], 2]], 'hecke_orbit_code': 58547963420478512, 'p': 37}
  • id: 3016287
    {'charpoly_factorization': [[[1024, 0, 1460, 0, 76, 0, 1], 2]], 'hecke_orbit_code': 58547963420478512, 'p': 41}
  • id: 3016288
    {'charpoly_factorization': [[[256, 0, 656, 0, 72, 0, 1], 2]], 'hecke_orbit_code': 58547963420478512, 'p': 43}
  • id: 3016289
    {'charpoly_factorization': [[[-64, 0, 84, 0, -20, 0, 1], 2]], 'hecke_orbit_code': 58547963420478512, 'p': 47}
  • id: 3016290
    {'charpoly_factorization': [[[25600, 0, 3216, 0, 104, 0, 1], 2]], 'hecke_orbit_code': 58547963420478512, 'p': 53}
  • id: 3016291
    {'charpoly_factorization': [[[141376, 0, 8500, 0, 164, 0, 1], 2]], 'hecke_orbit_code': 58547963420478512, 'p': 59}
  • id: 3016292
    {'charpoly_factorization': [[[-256, -96, -2, 1], 4]], 'hecke_orbit_code': 58547963420478512, 'p': 61}
  • id: 3016293
    {'charpoly_factorization': [[[-1024, 0, 10064, 0, -240, 0, 1], 2]], 'hecke_orbit_code': 58547963420478512, 'p': 67}
  • id: 3016294
    {'charpoly_factorization': [[[3356224, 0, 70484, 0, 468, 0, 1], 2]], 'hecke_orbit_code': 58547963420478512, 'p': 71}
  • id: 3016295
    {'charpoly_factorization': [[[-1024, 0, 512, 0, -52, 0, 1], 2]], 'hecke_orbit_code': 58547963420478512, 'p': 73}
  • id: 3016296
    {'charpoly_factorization': [[[-32, 52, -16, 1], 4]], 'hecke_orbit_code': 58547963420478512, 'p': 79}
  • id: 3016297
    {'charpoly_factorization': [[[-12544, 0, 9428, 0, -228, 0, 1], 2]], 'hecke_orbit_code': 58547963420478512, 'p': 83}
  • id: 3016298
    {'charpoly_factorization': [[[16384, 0, 5044, 0, 140, 0, 1], 2]], 'hecke_orbit_code': 58547963420478512, 'p': 89}
  • id: 3016299
    {'charpoly_factorization': [[[-640000, 0, 31232, 0, -340, 0, 1], 2]], 'hecke_orbit_code': 58547963420478512, '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': 18, 'hecke_orbit': 14, 'label': '3120.2.r.n', 'level': 3120, '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: 59339461
    {'hecke_orbit_code': 58547963420478512, 'n': 1, 'trace_an': 12}
  • id: 59339462
    {'hecke_orbit_code': 58547963420478512, 'n': 2, 'trace_an': 0}
  • id: 59339463
    {'hecke_orbit_code': 58547963420478512, 'n': 3, 'trace_an': 0}
  • id: 59339464
    {'hecke_orbit_code': 58547963420478512, 'n': 4, 'trace_an': 0}
  • id: 59339465
    {'hecke_orbit_code': 58547963420478512, 'n': 5, 'trace_an': 0}
  • id: 59339466
    {'hecke_orbit_code': 58547963420478512, 'n': 6, 'trace_an': 0}
  • id: 59339467
    {'hecke_orbit_code': 58547963420478512, 'n': 7, 'trace_an': 0}
  • id: 59339468
    {'hecke_orbit_code': 58547963420478512, 'n': 8, 'trace_an': 0}
  • id: 59339469
    {'hecke_orbit_code': 58547963420478512, 'n': 9, 'trace_an': -12}
  • id: 59339470
    {'hecke_orbit_code': 58547963420478512, 'n': 10, 'trace_an': 0}
  • id: 59339471
    {'hecke_orbit_code': 58547963420478512, 'n': 11, 'trace_an': 0}
  • id: 59339472
    {'hecke_orbit_code': 58547963420478512, 'n': 12, 'trace_an': 0}
  • id: 59339473
    {'hecke_orbit_code': 58547963420478512, 'n': 13, 'trace_an': 0}
  • id: 59339474
    {'hecke_orbit_code': 58547963420478512, 'n': 14, 'trace_an': 0}
  • id: 59339475
    {'hecke_orbit_code': 58547963420478512, 'n': 15, 'trace_an': 0}
  • id: 59339476
    {'hecke_orbit_code': 58547963420478512, 'n': 16, 'trace_an': 0}
  • id: 59339477
    {'hecke_orbit_code': 58547963420478512, 'n': 17, 'trace_an': 0}
  • id: 59339478
    {'hecke_orbit_code': 58547963420478512, 'n': 18, 'trace_an': 0}
  • id: 59339479
    {'hecke_orbit_code': 58547963420478512, 'n': 19, 'trace_an': 0}
  • id: 59339480
    {'hecke_orbit_code': 58547963420478512, 'n': 20, 'trace_an': 0}
  • id: 59339481
    {'hecke_orbit_code': 58547963420478512, 'n': 21, 'trace_an': 0}
  • id: 59339482
    {'hecke_orbit_code': 58547963420478512, 'n': 22, 'trace_an': 0}
  • id: 59339483
    {'hecke_orbit_code': 58547963420478512, 'n': 23, 'trace_an': 0}
  • id: 59339484
    {'hecke_orbit_code': 58547963420478512, 'n': 24, 'trace_an': 0}
  • id: 59339485
    {'hecke_orbit_code': 58547963420478512, 'n': 25, 'trace_an': 4}
  • id: 59339486
    {'hecke_orbit_code': 58547963420478512, 'n': 26, 'trace_an': 0}
  • id: 59339487
    {'hecke_orbit_code': 58547963420478512, 'n': 27, 'trace_an': 0}
  • id: 59339488
    {'hecke_orbit_code': 58547963420478512, 'n': 28, 'trace_an': 0}
  • id: 59339489
    {'hecke_orbit_code': 58547963420478512, 'n': 29, 'trace_an': -24}
  • id: 59339490
    {'hecke_orbit_code': 58547963420478512, 'n': 30, 'trace_an': 0}
  • id: 59339491
    {'hecke_orbit_code': 58547963420478512, 'n': 31, 'trace_an': 0}
  • id: 59339492
    {'hecke_orbit_code': 58547963420478512, 'n': 32, 'trace_an': 0}
  • id: 59339493
    {'hecke_orbit_code': 58547963420478512, 'n': 33, 'trace_an': 0}
  • id: 59339494
    {'hecke_orbit_code': 58547963420478512, 'n': 34, 'trace_an': 0}
  • id: 59339495
    {'hecke_orbit_code': 58547963420478512, 'n': 35, 'trace_an': -8}
  • id: 59339496
    {'hecke_orbit_code': 58547963420478512, 'n': 36, 'trace_an': 0}
  • id: 59339497
    {'hecke_orbit_code': 58547963420478512, 'n': 37, 'trace_an': 0}
  • id: 59339498
    {'hecke_orbit_code': 58547963420478512, 'n': 38, 'trace_an': 0}
  • id: 59339499
    {'hecke_orbit_code': 58547963420478512, 'n': 39, 'trace_an': -8}
  • id: 59339500
    {'hecke_orbit_code': 58547963420478512, 'n': 40, 'trace_an': 0}
  • id: 59339501
    {'hecke_orbit_code': 58547963420478512, 'n': 41, 'trace_an': 0}
  • id: 59339502
    {'hecke_orbit_code': 58547963420478512, 'n': 42, 'trace_an': 0}
  • id: 59339503
    {'hecke_orbit_code': 58547963420478512, 'n': 43, 'trace_an': 0}
  • id: 59339504
    {'hecke_orbit_code': 58547963420478512, 'n': 44, 'trace_an': 0}
  • id: 59339505
    {'hecke_orbit_code': 58547963420478512, 'n': 45, 'trace_an': 0}
  • id: 59339506
    {'hecke_orbit_code': 58547963420478512, 'n': 46, 'trace_an': 0}
  • id: 59339507
    {'hecke_orbit_code': 58547963420478512, 'n': 47, 'trace_an': 0}
  • id: 59339508
    {'hecke_orbit_code': 58547963420478512, 'n': 48, 'trace_an': 0}
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    {'hecke_orbit_code': 58547963420478512, 'n': 881, 'trace_an': 104}
  • id: 59339702
    {'hecke_orbit_code': 58547963420478512, 'n': 883, 'trace_an': 0}
  • id: 59339703
    {'hecke_orbit_code': 58547963420478512, 'n': 887, 'trace_an': 0}
  • id: 59339704
    {'hecke_orbit_code': 58547963420478512, 'n': 907, 'trace_an': 0}
  • id: 59339705
    {'hecke_orbit_code': 58547963420478512, 'n': 911, 'trace_an': 368}
  • id: 59339706
    {'hecke_orbit_code': 58547963420478512, 'n': 919, 'trace_an': 64}
  • id: 59339707
    {'hecke_orbit_code': 58547963420478512, 'n': 929, 'trace_an': 0}
  • id: 59339708
    {'hecke_orbit_code': 58547963420478512, 'n': 937, 'trace_an': 0}
  • id: 59339709
    {'hecke_orbit_code': 58547963420478512, 'n': 941, 'trace_an': 0}
  • id: 59339710
    {'hecke_orbit_code': 58547963420478512, 'n': 947, 'trace_an': 0}
  • id: 59339711
    {'hecke_orbit_code': 58547963420478512, 'n': 953, 'trace_an': 0}
  • id: 59339712
    {'hecke_orbit_code': 58547963420478512, 'n': 961, 'trace_an': -268}
  • id: 59339713
    {'hecke_orbit_code': 58547963420478512, 'n': 967, 'trace_an': 0}
  • id: 59339714
    {'hecke_orbit_code': 58547963420478512, 'n': 971, 'trace_an': 288}
  • id: 59339715
    {'hecke_orbit_code': 58547963420478512, 'n': 977, 'trace_an': 0}
  • id: 59339716
    {'hecke_orbit_code': 58547963420478512, 'n': 983, 'trace_an': 0}
  • id: 59339717
    {'hecke_orbit_code': 58547963420478512, 'n': 991, 'trace_an': 160}
  • id: 59339718
    {'hecke_orbit_code': 58547963420478512, 'n': 997, 'trace_an': 0}