Newform data - 2106.2.b.a

Formats: - HTML - YAML - JSON - 2026-10-16T08:57:52.374359

• 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': 8424, 'analytic_conductor': 16.81649466568165, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 13, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [2106, 2, [1379, 1783], [2, 1]], 'cm_discs': [], 'conrey_index': 649, 'dim': 6, 'field_disc': -5089536, 'field_disc_factorization': [[-1, 1], [2, 8], [3, 2], [47, 2]], 'field_poly': [18, -24, 16, 2, 2, -2, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [36, 0, 48, 0, 16, 0, 1]], [17, [-108, -36, 2, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 68753033274, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 13, 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': '2106.2.b.a', 'level': 2106, '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, 13], 'level_radical': 78, 'minimal_twist': '2106.2.b.a', 'nf_label': '6.0.5089536.1', 'prim_orbit_index': 2, 'qexp_display': 'q-\\beta _{4}q^{2}-q^{4}+(\\beta _{4}+\\beta _{5})q^{5}+\\beta _{2}q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2106.2.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 462501326691286903, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.010', 'prec': 7}, {'__RealLiteral__': 0, 'data': '5.730', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '170.915', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1.708', 'prec': 14}, {'__RealLiteral__': 0, 'data': '7787.225', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.514', 'prec': 10}, 'traces': [6, 0, 0, -6, 0, 0, 0, 0, 0, 8, 0, 0, 2, -2, 0, 6, -4, 0, 0, 0, 0, -6, 8, 0, -2, -8, 0, 0, 10, 0, 0, 0, 0, 0, -4, 0, 0, -6, 0, -8, 0, 0, -8, 0, 0, 0, 0, 0, 4, 0, 0, -2, 42, 0, 36, 2, 0, 0, 0, 0, -10, 16, 0, -6, 32, 0, 0, 4, 0, 0, 0, 0, 0, -4, 0, 0, 42, 0, -20, 0, 0, 16, 0, 0, 0, 0, 0, 6, 0, 0, 4, -8, 0, 0, 0, 0, 0, 0, 0, 2, -2, 0, -36, 8, 0, 0, 28, 0, 0, 0, 0, 0, 34, 0, 0, -10, 0, -14, 0, 0, -12, 0, 0, 0, 0, 0, 44, 0, 0, -12, -28, 0, 66, 16, 0, 0, 0, 0, -56, 4, 0, -30, -36, 0, 0, 20, 0, 0, 0, 0, 0, 6, 0, 0, -28, 0, -38, 0, 0, 8, 0, 0, 0, 0, 0, 26, 0, 0, 14, 44, 0, 8, 78, 0, 0, 0, 0, -24, -24, 0, -14, 30, 0, 0, -80, 0, 0, 0, 0, 0, -12, 0, 0, 60, 0, -4, 0, 0, 28, 0, 0, 0, 0, 0, 20, 0, 0, 2, -66, 0, 100, -42, 0, 0, 0, 0, -32, -8, 0, -36, 0, 0, 0, -2, 0, 0, 0, 0, 0, -4, 0, 0, 6, 0, -36, 0, 0, 52, 0, 0, 0, 0, 0, 10, 0, 0, 0, -16, 0, -12, -140, 0, 0, 0, 0, 6, 6, 0, -28, -32, 0, 0, 12, 0, 0, 0, 0, 0, 4, 0, 0, -4, 0, 4, 0, 0, 10, 0, 0, 0, 0, 0, 12, 0, 0, -18, 124, 0, 50, 28, 0, 0, 0, 0, -88, 4, 0, -28, 48, 0, 0, 34, 0, 0, 0, 0, 0, -42, 0, 0, 4, 0, -18, 0, 0, 20, 0, 0, 0, 0, 0, 28, 0, 0, -2, -56, 0, -16, 24, 0, 0, 0, 0, -42, 8, 0, 12, 24, 0, 0, 60, 0, 0, 0, 0, 0, 36, 0, 0, -50, 0, -6, 0, 0, 60, 0, 0, 0, 0, 0, -36, 0, 0, -4, -56, 0, 60, 8, 0, 0, 0, 0, -14, -96, 0, 0, -42, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, -48, 0, -4, 0, 0, 68, 0, 0, 0, 0, 0, -2, 0, 0, 28, 2, 0, -34, 108, 0, 0, 0, 0, 36, -38, 0, -92, -8, 0, 0, -40, 0, 0, 0, 0, 0, -148, 0, 0, -28, 0, -40, 0, 0, -6, 0, 0, 0, 0, 0, -16, 0, 0, -44, -152, 0, 60, -50, 0, 0, 0, 0, -144, -34, 0, -22, -48, 0, 0, -128, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, -56, 0, 0, 14, 0, 0, 0, 0, 0, 50, 0, 0, 80, 32, 0, 12, -180, 0, 0, 0, 0, -24, 40, 0, -8, -78, 0, 0, 102, 0, 0, 0, 0, 0, 48, 0, 0, -24, 0, -44, 0, 0, 68, 0, 0, 0, 0, 0, 12, 0, 0, 12, 90, 0, 64, 28, 0, 0, 0, 0, -82, 120, 0, -66, -20, 0, 0, -16, 0, 0, 0, 0, 0, -22, 0, 0, -40, 0, 16, 0, 0, 102, 0, 0, 0, 0, 0, 56, 0, 0, 88, -4, 0, 8, 16, 0, 0, 0, 0, 30, 44, 0, 56, 36, 0, 0, -4, 0, 0, 0, 0, 0, 26, 0, 0, -20, 0, -32, 0, 0, 84, 0, 0, 0, 0, 0, -148, 0, 0, 4, 132, 0, 54, 64, 0, 0, 0, 0, -68, -6, 0, -8, 36, 0, 0, 40, 0, 0, 0, 0, 0, 28, 0, 0, 36, 0, -10, 0, 0, 38, 0, 0, 0, 0, 0, 60, 0, 0, 92, 6, 0, -8, 66, 0, 0, 0, 0, -48, -88, 0, 126, 52, 0, 0, -124, 0, 0, 0, 0, 0, -92, 0, 0, 80, 0, -26, 0, 0, -32, 0, 0, 0, 0, 0, -130, 0, 0, -14, -102, 0, 24, -44, 0, 0, 0, 0, -64, 46, 0, -8, -30, 0, 0, -78, 0, 0, 0, 0, 0, -52, 0, 0, 98, 0, -36, 0, 0, 152, 0, 0, 0, 0, 0, 24, 0, 0, 60, 24, 0, -104, -116, 0, 0, 0, 0, 14, -2, 0, -4, -30, 0, 0, 8, 0, 0, 0, 0, 0, 48, 0, 0, 80, 0, 6, 0, 0, 16, 0, 0, 0, 0, 0, -144, 0, 0, -28, -16, 0, 50, -26, 0, 0, 0, 0, 52, 12, 0, 2, 88, 0, 0, 120, 0, 0, 0, 0, 0, -60, 0, 0, -180, 0, -162, 0, 0, 4, 0, 0, 0, 0, 0, -12, 0, 0, 134, -40, 0, -28, 134, 0, 0, 0, 0, 12, -12, 0, -52, 36, 0, 0, -46, 0, 0, 0, 0, 0, 32, 0, 0, -44, 0, -20, 0, 0, -172, 0, 0, 0, 0, 0, 10, 0, 0, -2, 0, 0, 132, 66, 0, 0, 0, 0, -112, -100, 0, -100, 24, 0, 0, 42, 0, 0, 0, 0, 0, 146, 0, 0, -122, 0, -96, 0, 0, 154, 0, 0, 0, 0, 0, 32, 0, 0, -8, 8, 0, -84, 132, 0, 0, 0, 0, 36, -60, 0, 16, 0, 0, 0, -24, 0, 0, 0, 0, 0, -84, 0, 0, 2, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 24, 0, 0, 40, -144, 0, 66, -140, 0, 0, 0, 0, 100, 4, 0, -48, -60, 0, 0, -198, 0, 0, 0, 0, 0, -6, 0, 0, 276, 0, -108, 0, 0, 36, 0, 0, 0, 0, 0, -24, 0, 0, 56, 54, 0, -52, -108, 0, 0, 0, 0, 18, 124, 0, 106, -60, 0, 0, 44, 0, 0, 0, 0, 0, 96, 0, 0, -18, 0, -10, 0, 0, -96, 0, 0, 0, 0, 0, -104, 0, 0, 0, 80, 0, 76, 16, 0, 0, 0, 0, -46, 98, 0, 12, -30, 0, 0, 140, 0, 0, 0, 0, 0, 52, 0, 0, -76, 0, 40, 0, 0, 120, 0, 0, 0, 0, 0, -6, 0, 0, -52, -6, 0, -176, 164, 0, 0, 0, 0, 28, 160, 0, 8, 32, 0, 0, -16, 0, 0, 0, 0, 0, 6, 0, 0, -12, 0, 40, 0, 0, -50, 0, 0, 0, 0, 0, 32, 0, 0, -72, 156, 0, -196, 160, 0, 0, 0, 0, 0, -4, 0, -36, 92, 0, 0, 124, 0, 0, 0, 0, 0, 4, 0, 0, 40, 0, -74, 0, 0, -4, 0, 0, 0, 0, 0, 66, 0, 0, 128, -24, 0, -10, 60, 0, 0, 0, 0, 96, -88, 0, 64, 40, 0, 0, -54, 0, 0, 0, 0, 0, 96, 0, 0, 124, 0, -12, 0, 0, -104, 0, 0, 0, 0, 0, -32, 0, 0, 18, 128, 0, -16, -124, 0, 0, 0, 0, 4, -16, 0, -50, -60, 0, 0, -28, 0, 0, 0, 0, 0, -126, 0, 0, 186, 0, 72, 0, 0, 52, 0, 0, 0, 0, 0, 88, 0, 0, 96, -4, 0, -28, -132, 0, 0, 0, 0, 28, 134, 0, -8, -48, 0, 0, -12, 0, 0, 0, 0, 0, 28, 0, 0, -34, 0, -164, 0, 0, -2, 0, 0, 0, 0, 0, 12, 0, 0, -60, -48, 0, -4, -32, 0, 0, 0, 0, -152, 42, 0, -28, 48, 0, 0, 154, 0, 0, 0, 0, 0, -4, 0, 0, -104, 0, -132, 0, 0, 18, 0, 0, 0, 0, 0, 200, 0, 0, 180, -38, 0, -20, 96, 0, 0, 0, 0, 88, 76, 0, 168, 24, 0, 0, 166, 0, 0, 0, 0, 0, 0, 0, 0, -102, 0, -28, 0, 0, 72, 0, 0, 0, 0, 0, -142, 0, 0, 2, -30, 0, 80, 56, 0, 0, 0, 0, 120, -136, 0, 16, 138, 0, 0, -24, 0, 0, 0, 0, 0, 20, 0, 0, -162, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 42, 0, 0, 76, -8, 0, -138, 12, 0, 0, 0, 0, -12, -234, 0, 88, -24, 0, 0, 148, 0, 0, 0, 0, 0, 102, 0, 0, -60, 0, -12, 0, 0, -122, 0, 0, 0, 0, 0, -132, 0, 0, -120, -52, 0, -100, -106, 0, 0, 0, 0, -132, -36, 0, -40, -216, 0, 0, -212, 0, 0, 0, 0, 0, 50, 0, 0, 124, 0, 16, 0, 0, 6, 0, 0, 0, 0, 0, 194, 0, 0, 40, 60, 0, -60, -84, 0, 0, 0, 0, 52, 132, 0, 174, -132, 0, 0, 44, 0, 0, 0, 0, 0, -140, 0, 0, -28, 0, 36, 0, 0, -132, 0, 0, 0, 0, 0, -156, 0, 0, 4, 24, 0, 208, 56, 0, 0, 0, 0, 272, 172, 0, -60, -78, 0, 0, -8, 0, 0, 0, 0, 0, -98, 0, 0, 42, 0, -132, 0, 0, 190, 0, 0, 0, 0, 0, 14, 0, 0, 44, 96, 0, -112, 4, 0, 0, 0, 0, 0, -88, 0, -60, 42, 0, 0, 60, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, -156, 0, 0, -150, 0, 0, 0, 0, 0, 92, 0, 0, -78, -64, 0, 114, 252, 0, 0, 0, 0, -84, -52, 0, -36, 148, 0, 0, -56, 0, 0, 0, 0, 0, 48, 0, 0, -44, 0, -206, 0, 0, 4, 0, 0, 0, 0, 0, -16, 0, 0, -8, -166, 0, -68, -66, 0, 0, 0, 0, -22, -212, 0, 0, 8, 0, 0, -190, 0, 0, 0, 0, 0, 12, 0, 0, 48, 0, 2, 0, 0, -56, 0, 0, 0, 0, 0, -10, 0, 0, -28, 138, 0, 300, -2, 0, 0, 0, 0, 176, -14, 0, 34, 0, 0, 0, -108, 0, 0, 0, 0, 0, -144, 0, 0, 34, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -36, 0, 0, -76, 38, 0, -168, -80, 0, 0, 0, 0, 92, 66, 0, -56, 8, 0, 0, -228, 0, 0, 0, 0, 0, -106, 0, 0, 40, 0, 128, 0, 0, -194, 0, 0, 0, 0, 0, 68, 0, 0, -80, -84, 0, -126, -148, 0, 0, 0, 0, -136, 148, 0, -64, -12, 0, 0, 164, 0, 0, 0, 0, 0, 28, 0, 0, -124, 0, 304, 0, 0, 40, 0, 0, 0, 0, 0, 94, 0, 0, -114, 60, 0, 6, -8, 0, 0, 0, 0, 36, -144, 0, 254, 96, 0, 0, 184, 0, 0, 0, 0, 0, -272, 0, 0, -136, 0, 16, 0, 0, -168, 0, 0, 0, 0, 0, -188, 0, 0, 44, -154, 0, 12, 152, 0, 0, 0, 0, 78, -76, 0, -60, 64, 0, 0, 50, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 332, 0, 0, -4, 0, 0, 0, 0, 0, 144, 0, 0, 28, 34, 0, -112, -120, 0, 0, 0, 0, 22, -72, 0, 124, 48, 0, 0, -8, 0, 0, 0, 0, 0, 4, 0, 0, 128, 0, -92, 0, 0, -318, 0, 0, 0, 0, 0, -48, 0, 0, -102, 8, 0, -66, -196, 0, 0, 0, 0, -132, -10, 0, -36, -120, 0, 0, -156, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, -110, 0, 0, 56, 0, 0, 0, 0, 0, 32, 0, 0, 52, -56, 0, -14, -194, 0, 0, 0, 0, -16, 200, 0, 206, -84, 0, 0, 42, 0, 0, 0, 0, 0, -88, 0, 0, 24, 0, -50, 0, 0, 64, 0, 0, 0, 0, 0, 124, 0, 0, -80, -162, 0, -36, -32, 0, 0, 0, 0, -52, 38, 0, -12, -16, 0, 0, 180, 0, 0, 0, 0, 0, 100, 0, 0, 106, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 16, -40, 0, -54, 152, 0, 0, 0, 0, 8, -54, 0, 8, 78, 0, 0, 136, 0, 0, 0, 0, 0, 184, 0, 0, -102, 0, 96, 0, 0, -46, 0, 0, 0, 0, 0, -180, 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

  
  {'an': [[1, 0, 0, 0, 0, 0], [0, 0, 0, 0, -1, 0], [0, 0, 0, 0, 0, 0], [-1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 1], [0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0], [1, -1, 0, 0, 0, 0], [0, 0, -1, 0, -1, -1], [0, 0, 0, 0, 0, 0], [1, 1, 0, -1, -1, -1], [0, 0, 0, -1, 0, 0], [0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 0], [-1, -2, 0, -1, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, -2, 0, -2, 1], [0, 0, 0, 0, -1, -1], [0, 0, 0, 0, 0, 0], [-1, 1, 0, 1, 0, 0], [2, 1, 0, -1, 0, 0], [0, 0, 0, 0, 0, 0], [0, 2, 0, 1, 0, 0], [-1, 1, -1, 0, -1, 1], [0, 0, 0, 0, 0, 0], [0, 0, -1, 0, 0, 0], [1, -1, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 3, 0], [0, 0, 0, 0, -1, 0], [0, 0, 0, 0, 0, 0], [0, 0, -1, 0, 1, -2], [-1, 1, 0, 2, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, -2, 4], [-2, -1, 0, 2, 0, 0], [0, 0, 0, 0, 0, 0], [-1, 1, 0, 0, 0, 0], [0, 0, -3, 0, 2, -1], [0, 0, 0, 0, 0, 0], [0, 2, 0, -2, 0, 0], [0, 0, 1, 0, 1, 1], [0, 0, 0, 0, 0, 0], [0, 0, -1, 0, -2, 1], [0, 0, -1, 0, -1, 2], [0, 0, 0, 0, 0, 0], [2, 2, 0, -2, 0, 0], [0, 0, 1, 0, 0, 2], [0, 0, 0, 0, 0, 0], [-1, -1, 0, 1, 1, 1], [6, -3, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [6, -3, 0, -3, 0, 0], [0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 1, 0, -1, -1], [0, 0, 0, 0, -4, 5], [0, 0, 0, 0, 0, 0], [0, 1, 0, -4, 0, 0], [3, 0, 0, -1, 0, 0], [0, 0, 0, 0, 0, 0], [-1, 0, 0, 0, 0, 0], [5, -2, 1, -1, -2, 1], [0, 0, 0, 0, 0, 0], [0, 0, 2, 0, 4, -2], [1, 2, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 2, 0, 1, 1], [0, 0, -3, 0, -6, 0], [0, 0, 0, 0, 0, 0], [0, 0, -2, 0, 2, 2], [-2, -4, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 2, 0, 2, -1], [6, -3, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [-4, -1, 0, 1, 0, 0], [0, 0, 0, 0, 1, 1], [0, 0, 0, 0, 0, 0], [2, 1, 0, 3, 0, 0], [0, 0, -1, 0, 3, 3], [0, 0, 0, 0, 0, 0], [0, 0, 4, 0, 8, 2], [0, 0, -2, 0, 0, 2], [0, 0, 0, 0, 0, 0], [1, -1, 0, -1, 0, 0], [0, 0, -1, 0, -4, -1], [0, 0, 0, 0, 0, 0], [1, -1, -2, -2, 4, 1], [-2, -1, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0], [-1, -2, 0, 1, 0, 0], [0, -3, 0, -3, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, -1, 0, 8, 5], [0, 0, -2, 0, -2, 2], [0, 0, 0, 0, 0, 0], [0, -2, 0, -1, 0, 0]], 'ap': [[0, 0, 0, 0, -1, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 1], [0, 0, 1, 0, 0, 0], [0, 0, -1, 0, -1, -1], [1, 1, 0, -1, -1, -1], [-1, -2, 0, -1, 0, 0], [0, 0, -2, 0, -2, 1], [2, 1, 0, -1, 0, 0], [1, -1, 0, 1, 0, 0], [0, 0, 1, 0, 3, 0], [0, 0, 0, 0, -2, 4], [0, 0, -3, 0, 2, -1], [0, 2, 0, -2, 0, 0], [0, 0, -1, 0, -1, 2], [6, -3, 0, 0, 0, 0], [0, 0, 0, 0, -4, 5], [0, 1, 0, -4, 0, 0], [0, 0, 2, 0, 4, -2], [0, 0, -3, 0, -6, 0], [0, 0, -2, 0, 2, 2], [-4, -1, 0, 1, 0, 0], [0, 0, -1, 0, 3, 3], [0, 0, -1, 0, -4, -1], [0, 0, -1, 0, 8, 5], [1, -1, 0, -5, 0, 0], [-4, 6, 0, 0, 0, 0], [1, -7, 0, 4, 0, 0], [0, 0, -2, 0, -3, 3], [4, -4, 0, 1, 0, 0], [6, -2, 0, 2, 0, 0], [-4, 4, 0, 2, 0, 0], [0, 0, -4, 0, -2, 4], [-9, -1, 0, -2, 0, 0], [0, 0, 0, 0, -5, 1], [0, 0, 2, 0, 7, -2], [-6, -1, 0, -2, 0, 0], [0, 0, 0, 0, -10, 2], [0, 0, -5, 0, -8, -2], [15, 3, 0, -3, 0, 0], [-6, -6, 0, 0, 0, 0], [0, 5, 0, -2, 0, 0], [0, 0, 0, -6, 0, 0], [0, 0, -1, 0, 10, -5], [0, 0, 2, 0, 12, 0], [2, -4, 0, 4, 0, 0], [17, -1, 0, -2, 0, 0], [0, 0, 4, 0, -9, 6], [0, 0, 4, 0, -4, 5], [0, 0, 0, 0, -22, 2], [3, 6, 0, 0, 0, 0], [0, 0, 4, 0, 11, -4], [0, 0, -1, 0, 6, -3], [-23, -1, 0, -2, 0, 0], [0, 0, 0, 3, 0, 0], [6, 9, 0, -3, 0, 0], [4, 8, 0, -2, 0, 0], [0, 0, -5, 0, -4, -4], [3, -1, 0, -5, 0, 0], [0, 0, -4, 0, 0, 0], [-2, -6, 0, 6, 0, 0], [0, 0, 4, 0, 0, -12], [0, 0, 8, 0, 10, -2], [-2, -4, 0, 4, 0, 0], [-2, 0, 0, -3, 0, 0], [0, 0, 4, 0, 13, -5], [0, 0, -4, 0, 12, 0], [1, -6, 0, -3, 0, 0], [9, 3, 0, -6, 0, 0], [0, 0, 2, 0, -6, -6], [0, 0, 1, 0, 26, -1], [0, 0, 3, 0, -13, -10], [8, -3, 0, 3, 0, 0], [2, 11, 0, -2, 0, 0], [0, 0, 4, 0, 0, -9], [0, 0, -10, 0, -3, 0], [-9, -6, 0, -3, 0, 0], [0, 0, 6, 0, -2, -8], [0, 0, 3, 0, 6, -9], [0, 0, -8, 0, -12, 6], [-1, 13, 0, -4, 0, 0], [0, 0, 6, 0, -17, 7], [0, 0, -4, 0, 25, -2], [4, 12, 0, -3, 0, 0], [-2, 4, 0, 2, 0, 0], [-26, -4, 0, -2, 0, 0], [0, 0, -2, 0, -2, 4], [0, 0, -9, 0, -28, 5], [0, 0, 0, 0, -9, 3], [0, 0, 1, 0, -32, -2], [-3, 3, 0, 12, 0, 0], [0, 0, 4, 0, 7, -8], [0, 0, 5, 0, 2, -10], [10, 2, 0, -8, 0, 0], [0, 0, -5, 0, 17, -7], [6, -9, 0, -3, 0, 0], [0, 0, 4, 0, 22, -2], [21, 6, 0, -12, 0, 0], [9, 5, 0, 10, 0, 0], [0, 0, 4, 0, 21, 3], [0, -10, 0, -2, 0, 0], [0, 0, -8, 0, 10, 10], [7, 11, 0, -2, 0, 0], [5, 4, 0, 11, 0, 0], [9, 1, 0, 2, 0, 0], [0, 0, 4, 0, 2, -10], [0, 0, 5, 0, 13, -8], [0, 0, 9, 0, -2, 1], [24, 3, 0, -3, 0, 0], [16, 12, 0, -9, 0, 0], [-18, -10, 0, 10, 0, 0], [0, 0, -4, 0, -8, 4], [0, 0, 7, 0, -4, 5], [0, 0, 2, 0, 28, -5], [0, 0, -5, 0, -6, -6], [9, 6, 0, 12, 0, 0], [0, 0, 6, 0, -18, 9], [-16, -5, 0, -1, 0, 0], [-22, -8, 0, -4, 0, 0], [-20, -4, 0, 10, 0, 0], [0, 0, 4, 0, 2, 8], [-26, -2, 0, 11, 0, 0], [-18, -3, 0, 0, 0, 0], [0, 0, -1, 0, -1, -4], [0, 0, 5, 0, -15, -3], [23, 7, 0, -13, 0, 0], [0, 0, 4, 0, 10, 4], [-26, -7, 0, 13, 0, 0], [-6, -20, 0, -4, 0, 0], [0, 0, 0, 0, 29, -1], [0, 0, -3, 0, -19, 5], [0, 0, -1, 0, 34, -8], [-22, 0, 0, -6, 0, 0], [9, 7, 0, 5, 0, 0], [0, 0, 6, 0, -24, 0], [0, 0, 2, 0, 44, -4], [0, 0, 0, 0, -12, 18], [0, 0, 1, 0, -25, -7], [20, 1, 0, 8, 0, 0], [-1, 16, 0, -4, 0, 0], [0, 0, 3, 0, -7, 17], [0, 0, -8, 0, 10, 10], [-32, -2, 0, 8, 0, 0], [0, 0, -8, 0, -32, 4], [-1, -7, 0, 1, 0, 0], [0, 0, 1, 0, 23, -4], [0, 0, -2, 0, 29, -7], [-20, -4, 0, -5, 0, 0], [-11, 15, 0, 0, 0, 0], [0, 0, 1, 0, 18, -6], [0, 0, 6, 0, -17, -11], [-3, 12, 0, -9, 0, 0], [-7, -19, 0, 10, 0, 0], [-6, -3, 0, 3, 0, 0], [-2, -6, 0, 12, 0, 0], [-24, 0, 0, 0, 0, 0], [8, -22, 0, 4, 0, 0], [0, 0, -12, 0, -12, 6], [-17, 6, 0, 3, 0, 0], [0, 0, -8, 0, 8, -16], [0, 0, -10, 0, -6, 0], [-12, 6, 0, -12, 0, 0], [0, 0, 7, 0, 14, -16], [15, 3, 0, 6, 0, 0], [0, 0, -17, 0, -8, 7], [0, 0, -6, 0, -15, 12], [6, -13, 0, 7, 0, 0], [-11, -5, 0, 5, 0, 0], [0, 0, -14, 0, -10, 14], [-16, -2, 0, 8, 0, 0], [0, 0, -10, 0, 20, -10], [0, 0, 0, 0, 6, 6], [20, -17, 0, 5, 0, 0], [0, 0, 0, 0, 34, 4], [-8, -17, 0, 11, 0, 0], [3, 6, 0, 0, 0, 0], [0, 0, 3, 0, -17, 4], [0, 0, -4, 0, -14, 22], [4, -11, 0, -7, 0, 0], [-30, 10, 0, 2, 0, 0], [0, 0, -12, 0, 17, 2], [4, 2, 0, 10, 0, 0], [-16, -1, 0, 10, 0, 0], [0, 0, -20, 0, -24, 12], [0, 0, 10, 0, -5, -2], [6, -6, 0, 6, 0, 0], [9, 2, 0, 7, 0, 0], [0, 0, 3, 0, -37, -7], [0, 0, 17, 0, 8, -13], [0, 0, -9, 0, 19, 22], [-3, -10, 0, 1, 0, 0], [0, 0, 7, 0, -21, -3], [17, 21, 0, 6, 0, 0], [0, 0, 0, 0, 11, 5], [-27, -15, 0, 0, 0, 0], [20, -2, 0, 5, 0, 0], [0, 0, -2, 0, 42, 0], [-7, -7, 0, 13, 0, 0], [0, 0, -6, 0, -46, 8], [-6, 0, 0, -6, 0, 0], [0, 0, -12, 0, 12, 0], [-30, -19, 0, -5, 0, 0], [0, 0, -4, 0, 44, -4], [-19, 0, 0, -9, 0, 0], [0, 0, 2, 0, 14, -7], [31, 5, 0, -5, 0, 0], [0, 0, -11, 0, 1, 22], [9, 15, 0, -12, 0, 0], [0, 0, 0, 0, 6, -24], [10, -6, 0, 0, 0, 0], [-21, 4, 0, -4, 0, 0], [-12, -3, 0, 18, 0, 0], [12, 13, 0, 17, 0, 0], [0, 0, 2, 0, -36, 15], [0, 0, 10, 0, -15, -6], [0, 0, -2, 0, 20, -10], [-2, -3, 0, 3, 0, 0], [15, -12, 0, -6, 0, 0], [0, 0, -7, 0, 11, -16], [0, 0, 4, 0, -24, 12], [-8, 22, 0, -4, 0, 0], [0, 0, 6, 0, -9, 18], [0, 0, 10, 0, 52, -2], [0, 0, 6, 0, -1, 14], [27, 3, 0, -12, 0, 0], [32, 3, 0, -6, 0, 0], [5, -8, 0, -1, 0, 0], [-26, -7, 0, 1, 0, 0], [-26, -9, 0, 3, 0, 0], [0, 0, 8, 0, -4, -16], [-34, -6, 0, 18, 0, 0], [42, 8, 0, -14, 0, 0], [0, 0, 0, 0, 41, 2], [9, 12, 0, 6, 0, 0], [-13, 21, 0, -6, 0, 0], [0, 0, -4, 0, 17, 8], [0, 0, -16, 0, -10, 14], [0, 0, -14, 0, 4, -8], [13, 23, 0, -14, 0, 0], [12, 18, 0, 12, 0, 0], [0, 0, 5, 0, 1, -17], [15, 1, 0, 2, 0, 0], [-14, -9, 0, -9, 0, 0], [0, 0, 2, 0, 7, 25], [0, 0, 8, 0, -4, -22], [-2, 5, 0, -11, 0, 0], [0, 0, 1, 0, 33, -18], [0, 0, 1, 0, 17, -13], [0, 0, 9, 0, -23, 7], [-32, 8, 0, -2, 0, 0], [0, 0, 0, 0, 9, -9], [0, 0, -6, 0, 0, -18], [0, 0, -9, 0, -32, -2], [3, 4, 0, -10, 0, 0], [21, 9, 0, 15, 0, 0], [0, 0, 12, 0, 0, -21], [33, 10, 0, -1, 0, 0], [0, 0, -10, 0, -18, 12], [1, -13, 0, 1, 0, 0], [0, 0, 5, 0, 30, -3], [-16, -16, 0, 4, 0, 0], [-45, -15, 0, 6, 0, 0], [0, 0, -14, 0, 14, 14], [-25, -9, 0, 3, 0, 0], [0, 0, -7, 0, 14, -1], [-9, 31, 0, -10, 0, 0], [0, 0, 2, 0, -5, -17], [0, 0, 25, 0, 20, -1], [0, 0, -1, 0, -9, 3], [1, 2, 0, -5, 0, 0], [42, -5, 0, -4, 0, 0], [0, 0, 6, 0, 34, -5], [0, 0, 3, 0, -4, -7], [-22, 15, 0, -3, 0, 0], [10, 0, 0, 9, 0, 0], [0, 0, 11, 0, -29, -2], [0, 0, 10, 0, 24, 9], [0, 0, 6, 0, 43, 1], [0, 0, -1, 0, -12, -9], [-15, 15, 0, 0, 0, 0], [-8, 2, 0, 22, 0, 0], [0, 0, -15, 0, -14, 16], [14, 28, 0, -10, 0, 0], [0, 0, -20, 0, -19, -1], [0, 0, -8, 0, -10, 14], [4, 20, 0, 10, 0, 0], [-13, 14, 0, -2, 0, 0], [0, 0, 0, 0, -16, 2], [0, 0, 7, 0, 8, -28], [-38, -10, 0, 7, 0, 0], [6, 9, 0, 12, 0, 0], [-19, 1, 0, 14, 0, 0], [0, 0, 7, 0, 16, -29], [0, 0, 13, 0, 13, 4], [-14, -2, 0, 14, 0, 0], [19, -7, 0, -11, 0, 0], [10, 4, 0, 14, 0, 0], [3, 33, 0, -3, 0, 0], [13, -19, 0, 10, 0, 0], [0, 0, -10, 0, -10, 32], [-17, -26, 0, 2, 0, 0], [0, 0, -10, 0, -19, -7], [-40, -12, 0, 18, 0, 0]], 'char_orbit_index': 2, 'field_poly': [18, -24, 16, 2, 2, -2, 1], 'hecke_orbit_code': 68753033274, 'hecke_ring_character_values': [[1379, [1, 0, 0, 0, 0, 0]], [1783, [-1, 0, 0, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 131, 393, 131, 393, 131], 'hecke_ring_inverse_denominators': [1, 2, 1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0], [1, 0, 1, -1, 1, 0], [0, 0, 0, 0, 3, 1], [-2, 1, 2, 2, 2, 1], [-13, 6, 0, 1, 0, 0], [-12, 7, -9, 9, -12, -7]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0], [285, 6, -1, -6, 24, -1], [-147, 292, -136, 101, -11, -5], [-7, -36, 6, 36, -13, 6], [-267, 386, 154, 7, -28, 23], [267, -386, -23, -7, 28, -23]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 6, 'label': '2106.2.b.a', 'level': 2106, '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': 8424, 'analytic_conductor': 16.81649466568165, 'char_conductor': 13, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [2106, 2, [1379, 1783], [2, 1]], 'conrey_index': 649, 'cusp_dim': 354, 'dim': 56, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 17], 'hecke_orbit_code': 68753033274, 'hecke_orbit_dims': [6, 6, 14, 14, 16], 'label': '2106.2.b', 'level': 2106, '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, 13], 'level_radical': 78, 'mf_dim': 402, 'mf_new_dim': 56, 'num_forms': 5, 'prim_orbit_index': 2, 'relative_dim': 56, 'sturm_bound': 756, 'trace_bound': 14, 'trace_display': [0, 0, 0, 0], 'traces': [56, 0, 0, -56, 0, 0, 0, 0, 0, 12, 0, 0, 10, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, -8, 0, 0, 0, 0, 0, -64, 0, 0, -10, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 48, 0, 0, 0, 0, 0, 68, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, -176, 0, 0, 0, 0, 0, 56, 0, 0, -6, 0, 0, 72, 0, 0, 0, 0, 0, -104, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 76, 0, 0, 12, 0, 0, 0, 0, 0, -24, 0, 0, 50, 0, 0, 8, 0, 0, 0, 0, 0, -60, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 8, 0, 0, 0, 0, 0, 24, 0, 0, 10, 0, 0, 200, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 12, 0, 0, 0, 0, 0, 28, 0, 0, 36, 0, 0, -120, 0, 0, 0, 0, 0, 56, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 156, 0, 0, -152, 0, 0, 0, 0, 0, -28, 0, 0, -36, 0, 0, 44, 0, 0, 0, 0, 0, 168, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 236, 0, 0, 40, 0, 0, 0, 0, 0, -96, 0, 0, -148, 0, 0, 24, 0, 0, 0, 0, 0, -84, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 56, 0, 0, 24, 0, 0, -56, 0, 0, 0, 0, 0, -16, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, -36, 0, 0, 0, 0, 0, -68, 0, 0, -204, 0, 0, 96, 0, 0, 0, 0, 0, 8, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 140, 0, 0, 0, 0, 0, 184, 0, 0, -6, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, -24, 0, 0, 0, 0, 0, -48, 0, 0, -138, 0, 0, 176, 0, 0, 0, 0, 0, -192, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 24, 0, 0, 0, 0, 0, 216, 0, 0, 6, 0, 0, -92, 0, 0, 0, 0, 0, -184, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, -216, 0, 0, 0, 0, 0, 104, 0, 0, -100, 0, 0, 12, 0, 0, 0, 0, 0, -24, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 360, 0, 0, 0, 0, 0, -372, 0, 0, 48, 0, 0, -52, 0, 0, 0, 0, 0, 400, 0, 0, 324, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, -76, 0, 0, 0, 0, 0, 144, 0, 0, -74, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, -168, 0, 0, 0, 0, 0, -284, 0, 0, -50, 0, 0, -576, 0, 0, 0, 0, 0, -228, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 48, 0, 0, 0, 0, 0, 60, 0, 0, -216, 0, 0, -108, 0, 0, 0, 0, 0, 56, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 228, 0, 0, 0, 0, 0, 208, 0, 0, 78, 0, 0, -160, 0, 0, 0, 0, 0, 156, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -648, 0, 0, -64, 0, 0, 0, 0, 0, -120, 0, 0, 442, 0, 0, -8, 0, 0, 0, 0, 0, 12, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 16, 0, 0, 0, 0, 0, 152, 0, 0, -10, 0, 0, 72, 0, 0, 0, 0, 0, -124, 0, 0, -200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 168, 0, 0, 0, 0, 0, 24, 0, 0, 156, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, -216, 0, 0, 0, 0, 0, -16, 0, 0, 228, 0, 0, -288, 0, 0, 0, 0, 0, 584, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 36, 0, 0, 0, 0, 0, -288, 0, 0, -66, 0, 0, -12, 0, 0, 0, 0, 0, 264, 0, 0, 236, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, -72, 0, 0, 0, 0, 0, -384, 0, 0, -36, 0, 0, 232, 0, 0, 0, 0, 0, 292, 0, 0, 120], '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: 875542
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 2, 'source_dim': 6, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '2106.2.b.a', 'source_level': 2106, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '2106.2.b.a', 'target_level': 2106, 'twist_class_label': '2106.2.b.a', 'twist_class_level': 2106, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 875543
    {'conductor': 13, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 6, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '2106.2.b.a', 'source_level': 2106, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '2106.2.b.a', 'target_level': 2106, 'twist_class_label': '2106.2.b.a', 'twist_class_level': 2106, 'twisting_char_label': '13.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 875544
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 6, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '2106.2.b.a', 'source_level': 2106, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '2106.2.b.b', 'target_level': 2106, 'twist_class_label': '2106.2.b.a', 'twist_class_level': 2106, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 875545
    {'conductor': 39, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 6, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '2106.2.b.a', 'source_level': 2106, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '2106.2.b.b', 'target_level': 2106, 'twist_class_label': '2106.2.b.a', 'twist_class_level': 2106, 'twisting_char_label': '39.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2425750
    {'charpoly_factorization': [[[1, 0, 1], 3]], 'hecke_orbit_code': 68753033274, 'p': 2}
  • id: 2425751
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 68753033274, 'p': 3}
  • id: 2425752
    {'charpoly_factorization': [[[36, 0, 48, 0, 16, 0, 1], 1]], 'hecke_orbit_code': 68753033274, 'p': 5}
  • id: 2425753
    {'charpoly_factorization': [[[9, 0, 75, 0, 19, 0, 1], 1]], 'hecke_orbit_code': 68753033274, 'p': 7}
  • id: 2425754
    {'charpoly_factorization': [[[81, 0, 171, 0, 39, 0, 1], 1]], 'hecke_orbit_code': 68753033274, 'p': 11}
  • id: 2425755
    {'charpoly_factorization': [[[2197, -338, -65, 20, -5, -2, 1], 1]], 'hecke_orbit_code': 68753033274, 'p': 13}
  • id: 2425756
    {'charpoly_factorization': [[[-108, -36, 2, 1], 2]], 'hecke_orbit_code': 68753033274, 'p': 17}
  • id: 2425757
    {'charpoly_factorization': [[[13689, 0, 1791, 0, 75, 0, 1], 1]], 'hecke_orbit_code': 68753033274, 'p': 19}
  • id: 2425758
    {'charpoly_factorization': [[[18, -6, -4, 1], 2]], 'hecke_orbit_code': 68753033274, 'p': 23}
  • id: 2425759
    {'charpoly_factorization': [[[9, -3, -5, 1], 2]], 'hecke_orbit_code': 68753033274, 'p': 29}
  • id: 2425760
    {'charpoly_factorization': [[[144, 0, 336, 0, 40, 0, 1], 1]], 'hecke_orbit_code': 68753033274, 'p': 31}
  • id: 2425761
    {'charpoly_factorization': [[[576, 0, 6960, 0, 172, 0, 1], 1]], 'hecke_orbit_code': 68753033274, 'p': 37}
  • id: 2425762
    {'charpoly_factorization': [[[79524, 0, 10596, 0, 220, 0, 1], 1]], 'hecke_orbit_code': 68753033274, 'p': 41}
  • id: 2425763
    {'charpoly_factorization': [[[-16, -40, 4, 1], 2]], 'hecke_orbit_code': 68753033274, 'p': 43}
  • id: 2425764
    {'charpoly_factorization': [[[1296, 0, 576, 0, 48, 0, 1], 1]], 'hecke_orbit_code': 68753033274, 'p': 47}
  • id: 2425765
    {'charpoly_factorization': [[[27, 99, -21, 1], 2]], 'hecke_orbit_code': 68753033274, 'p': 53}
  • id: 2425766
    {'charpoly_factorization': [[[19881, 0, 15663, 0, 283, 0, 1], 1]], 'hecke_orbit_code': 68753033274, 'p': 59}
  • id: 2425767
    {'charpoly_factorization': [[[361, -133, 5, 1], 2]], 'hecke_orbit_code': 68753033274, 'p': 61}
  • id: 2425768
    {'charpoly_factorization': [[[20736, 0, 2880, 0, 112, 0, 1], 1]], 'hecke_orbit_code': 68753033274, 'p': 67}
  • id: 2425769
    {'charpoly_factorization': [[[210681, 0, 13851, 0, 243, 0, 1], 1]], 'hecke_orbit_code': 68753033274, 'p': 71}
  • id: 2425770
    {'charpoly_factorization': [[[5184, 0, 1584, 0, 124, 0, 1], 1]], 'hecke_orbit_code': 68753033274, 'p': 73}
  • id: 2425771
    {'charpoly_factorization': [[[-6, 22, 10, 1], 2]], 'hecke_orbit_code': 68753033274, 'p': 79}
  • id: 2425772
    {'charpoly_factorization': [[[62001, 0, 6555, 0, 151, 0, 1], 1]], 'hecke_orbit_code': 68753033274, 'p': 83}
  • id: 2425773
    {'charpoly_factorization': [[[324, 0, 468, 0, 84, 0, 1], 1]], 'hecke_orbit_code': 68753033274, 'p': 89}
  • id: 2425774
    {'charpoly_factorization': [[[544644, 0, 74556, 0, 552, 0, 1], 1]], 'hecke_orbit_code': 68753033274, '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': 2, 'hecke_orbit': 1, 'label': '2106.2.b.a', 'level': 2106, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 4606621
    {'hecke_orbit_code': 68753033274, 'n': 1, 'trace_an': 6}
  • id: 4606622
    {'hecke_orbit_code': 68753033274, 'n': 2, 'trace_an': 0}
  • id: 4606623
    {'hecke_orbit_code': 68753033274, 'n': 3, 'trace_an': 0}
  • id: 4606624
    {'hecke_orbit_code': 68753033274, 'n': 4, 'trace_an': -6}
  • id: 4606625
    {'hecke_orbit_code': 68753033274, 'n': 5, 'trace_an': 0}
  • id: 4606626
    {'hecke_orbit_code': 68753033274, 'n': 6, 'trace_an': 0}
  • id: 4606627
    {'hecke_orbit_code': 68753033274, 'n': 7, 'trace_an': 0}
  • id: 4606628
    {'hecke_orbit_code': 68753033274, 'n': 8, 'trace_an': 0}
  • id: 4606629
    {'hecke_orbit_code': 68753033274, 'n': 9, 'trace_an': 0}
  • id: 4606630
    {'hecke_orbit_code': 68753033274, 'n': 10, 'trace_an': 8}
  • id: 4606631
    {'hecke_orbit_code': 68753033274, 'n': 11, 'trace_an': 0}
  • id: 4606632
    {'hecke_orbit_code': 68753033274, 'n': 12, 'trace_an': 0}
  • id: 4606633
    {'hecke_orbit_code': 68753033274, 'n': 13, 'trace_an': 2}
  • id: 4606634
    {'hecke_orbit_code': 68753033274, 'n': 14, 'trace_an': -2}
  • id: 4606635
    {'hecke_orbit_code': 68753033274, 'n': 15, 'trace_an': 0}
  • id: 4606636
    {'hecke_orbit_code': 68753033274, 'n': 16, 'trace_an': 6}
  • id: 4606637
    {'hecke_orbit_code': 68753033274, 'n': 17, 'trace_an': -4}
  • id: 4606638
    {'hecke_orbit_code': 68753033274, 'n': 18, 'trace_an': 0}
  • id: 4606639
    {'hecke_orbit_code': 68753033274, 'n': 19, 'trace_an': 0}
  • id: 4606640
    {'hecke_orbit_code': 68753033274, 'n': 20, 'trace_an': 0}
  • id: 4606641
    {'hecke_orbit_code': 68753033274, 'n': 21, 'trace_an': 0}
  • id: 4606642
    {'hecke_orbit_code': 68753033274, 'n': 22, 'trace_an': -6}
  • id: 4606643
    {'hecke_orbit_code': 68753033274, 'n': 23, 'trace_an': 8}
  • id: 4606644
    {'hecke_orbit_code': 68753033274, 'n': 24, 'trace_an': 0}
  • id: 4606645
    {'hecke_orbit_code': 68753033274, 'n': 25, 'trace_an': -2}
  • id: 4606646
    {'hecke_orbit_code': 68753033274, 'n': 26, 'trace_an': -8}
  • id: 4606647
    {'hecke_orbit_code': 68753033274, 'n': 27, 'trace_an': 0}
  • id: 4606648
    {'hecke_orbit_code': 68753033274, 'n': 28, 'trace_an': 0}
  • id: 4606649
    {'hecke_orbit_code': 68753033274, 'n': 29, 'trace_an': 10}
  • id: 4606650
    {'hecke_orbit_code': 68753033274, 'n': 30, 'trace_an': 0}
  • id: 4606651
    {'hecke_orbit_code': 68753033274, 'n': 31, 'trace_an': 0}
  • id: 4606652
    {'hecke_orbit_code': 68753033274, 'n': 32, 'trace_an': 0}
  • id: 4606653
    {'hecke_orbit_code': 68753033274, 'n': 33, 'trace_an': 0}
  • id: 4606654
    {'hecke_orbit_code': 68753033274, 'n': 34, 'trace_an': 0}
  • id: 4606655
    {'hecke_orbit_code': 68753033274, 'n': 35, 'trace_an': -4}
  • id: 4606656
    {'hecke_orbit_code': 68753033274, 'n': 36, 'trace_an': 0}
  • id: 4606657
    {'hecke_orbit_code': 68753033274, 'n': 37, 'trace_an': 0}
  • id: 4606658
    {'hecke_orbit_code': 68753033274, 'n': 38, 'trace_an': -6}
  • id: 4606659
    {'hecke_orbit_code': 68753033274, 'n': 39, 'trace_an': 0}
  • id: 4606660
    {'hecke_orbit_code': 68753033274, 'n': 40, 'trace_an': -8}
  • id: 4606661
    {'hecke_orbit_code': 68753033274, 'n': 41, 'trace_an': 0}
  • id: 4606662
    {'hecke_orbit_code': 68753033274, 'n': 42, 'trace_an': 0}
  • id: 4606663
    {'hecke_orbit_code': 68753033274, 'n': 43, 'trace_an': -8}
  • id: 4606664
    {'hecke_orbit_code': 68753033274, 'n': 44, 'trace_an': 0}
  • id: 4606665
    {'hecke_orbit_code': 68753033274, 'n': 45, 'trace_an': 0}
  • id: 4606666
    {'hecke_orbit_code': 68753033274, 'n': 46, 'trace_an': 0}
  • id: 4606667
    {'hecke_orbit_code': 68753033274, 'n': 47, 'trace_an': 0}
  • id: 4606668
    {'hecke_orbit_code': 68753033274, 'n': 48, 'trace_an': 0}
  • id: 4606669
    {'hecke_orbit_code': 68753033274, 'n': 49, 'trace_an': 4}
  • id: 4606670
    {'hecke_orbit_code': 68753033274, 'n': 50, 'trace_an': 0}
  • id: 4606671
    {'hecke_orbit_code': 68753033274, 'n': 51, 'trace_an': 0}
  • id: 4606672
    {'hecke_orbit_code': 68753033274, 'n': 52, 'trace_an': -2}
  • id: 4606673
    {'hecke_orbit_code': 68753033274, 'n': 53, 'trace_an': 42}
  • id: 4606674
    {'hecke_orbit_code': 68753033274, 'n': 54, 'trace_an': 0}
  • id: 4606675
    {'hecke_orbit_code': 68753033274, 'n': 55, 'trace_an': 36}
  • id: 4606676
    {'hecke_orbit_code': 68753033274, 'n': 56, 'trace_an': 2}
  • id: 4606677
    {'hecke_orbit_code': 68753033274, 'n': 57, 'trace_an': 0}
  • id: 4606678
    {'hecke_orbit_code': 68753033274, 'n': 58, 'trace_an': 0}
  • id: 4606679
    {'hecke_orbit_code': 68753033274, 'n': 59, 'trace_an': 0}
  • id: 4606680
    {'hecke_orbit_code': 68753033274, 'n': 60, 'trace_an': 0}
  • id: 4606681
    {'hecke_orbit_code': 68753033274, 'n': 61, 'trace_an': -10}
  • id: 4606682
    {'hecke_orbit_code': 68753033274, 'n': 62, 'trace_an': 16}
  • id: 4606683
    {'hecke_orbit_code': 68753033274, 'n': 63, 'trace_an': 0}
  • id: 4606684
    {'hecke_orbit_code': 68753033274, 'n': 64, 'trace_an': -6}
  • id: 4606685
    {'hecke_orbit_code': 68753033274, 'n': 65, 'trace_an': 32}
  • id: 4606686
    {'hecke_orbit_code': 68753033274, 'n': 66, 'trace_an': 0}
  • id: 4606687
    {'hecke_orbit_code': 68753033274, 'n': 67, 'trace_an': 0}
  • id: 4606688
    {'hecke_orbit_code': 68753033274, 'n': 68, 'trace_an': 4}
  • id: 4606689
    {'hecke_orbit_code': 68753033274, 'n': 69, 'trace_an': 0}
  • id: 4606690
    {'hecke_orbit_code': 68753033274, 'n': 70, 'trace_an': 0}
  • id: 4606691
    {'hecke_orbit_code': 68753033274, 'n': 71, 'trace_an': 0}
  • id: 4606692
    {'hecke_orbit_code': 68753033274, 'n': 72, 'trace_an': 0}
  • id: 4606693
    {'hecke_orbit_code': 68753033274, 'n': 73, 'trace_an': 0}
  • id: 4606694
    {'hecke_orbit_code': 68753033274, 'n': 74, 'trace_an': -4}
  • id: 4606695
    {'hecke_orbit_code': 68753033274, 'n': 75, 'trace_an': 0}
  • id: 4606696
    {'hecke_orbit_code': 68753033274, 'n': 76, 'trace_an': 0}
  • id: 4606697
    {'hecke_orbit_code': 68753033274, 'n': 77, 'trace_an': 42}
  • id: 4606698
    {'hecke_orbit_code': 68753033274, 'n': 78, 'trace_an': 0}
  • id: 4606699
    {'hecke_orbit_code': 68753033274, 'n': 79, 'trace_an': -20}
  • id: 4606700
    {'hecke_orbit_code': 68753033274, 'n': 80, 'trace_an': 0}
  • id: 4606701
    {'hecke_orbit_code': 68753033274, 'n': 81, 'trace_an': 0}
  • id: 4606702
    {'hecke_orbit_code': 68753033274, 'n': 82, 'trace_an': 16}
  • id: 4606703
    {'hecke_orbit_code': 68753033274, 'n': 83, 'trace_an': 0}
  • id: 4606704
    {'hecke_orbit_code': 68753033274, 'n': 84, 'trace_an': 0}
  • id: 4606705
    {'hecke_orbit_code': 68753033274, 'n': 85, 'trace_an': 0}
  • id: 4606706
    {'hecke_orbit_code': 68753033274, 'n': 86, 'trace_an': 0}
  • id: 4606707
    {'hecke_orbit_code': 68753033274, 'n': 87, 'trace_an': 0}
  • id: 4606708
    {'hecke_orbit_code': 68753033274, 'n': 88, 'trace_an': 6}
  • id: 4606709
    {'hecke_orbit_code': 68753033274, 'n': 89, 'trace_an': 0}
  • id: 4606710
    {'hecke_orbit_code': 68753033274, 'n': 90, 'trace_an': 0}
  • id: 4606711
    {'hecke_orbit_code': 68753033274, 'n': 91, 'trace_an': 4}
  • id: 4606712
    {'hecke_orbit_code': 68753033274, 'n': 92, 'trace_an': -8}
  • id: 4606713
    {'hecke_orbit_code': 68753033274, 'n': 93, 'trace_an': 0}
  • id: 4606714
    {'hecke_orbit_code': 68753033274, 'n': 94, 'trace_an': 0}
  • id: 4606715
    {'hecke_orbit_code': 68753033274, 'n': 95, 'trace_an': 0}
  • id: 4606716
    {'hecke_orbit_code': 68753033274, 'n': 96, 'trace_an': 0}
  • id: 4606717
    {'hecke_orbit_code': 68753033274, 'n': 97, 'trace_an': 0}
  • id: 4606718
    {'hecke_orbit_code': 68753033274, 'n': 98, 'trace_an': 0}
  • id: 4606719
    {'hecke_orbit_code': 68753033274, 'n': 99, 'trace_an': 0}
  • id: 4606720
    {'hecke_orbit_code': 68753033274, 'n': 100, 'trace_an': 2}