Newform data - 1100.2.b.d

Formats: - HTML - YAML - JSON - 2026-09-06T17:44:17.741188

• 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': 4400, 'analytic_conductor': 8.783544222340842, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [1100, 2, [551, 177, 101], [2, 1, 2]], 'cm_discs': [], 'conrey_index': 749, 'dim': 4, 'field_disc': 7056, 'field_disc_factorization': [[2, 4], [3, 2], [7, 2]], 'field_poly': [25, 0, 11, 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': [[3, [25, 0, 11, 0, 1]], [7, [1, 0, 23, 0, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510867635143756, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1100.2.b.d', 'level': 1100, '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, 5, 11], 'level_radical': 110, 'minimal_twist': '1100.2.a.g', 'nf_label': '4.0.7056.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{1}q^{3}+(\\beta _{1}+3\\beta _{2})q^{7}+(-3+\\beta _{3})q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1100.2.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 149662928078069648, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.042', 'prec': 7}, {'__RealLiteral__': 0, 'data': '3.925', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.241', 'prec': 10}, {'__RealLiteral__': 0, 'data': '78.417', 'prec': 17}, 0, {'__RealLiteral__': 0, 'data': '2138.934', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.515', 'prec': 10}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, -10, 0, -4, 0, 0, 0, 0, 0, 0, 0, -8, 0, -16, 0, 0, 0, 0, 0, 0, 0, -18, 0, -16, 0, 0, 0, 0, 0, 0, 0, -2, 0, -24, 0, 0, 0, 0, 0, 0, 0, -18, 0, -18, 0, 0, 0, 0, 0, 0, 0, 24, 0, 26, 0, 0, 0, 0, 0, 0, 0, -24, 0, 12, 0, 0, 0, 0, 0, 0, 0, -2, 0, -20, 0, 0, 0, 0, 0, 0, 0, -6, 0, 10, 0, 0, 0, 0, 0, 0, 0, 10, 0, -42, 0, 0, 0, 0, 0, 0, 0, 10, 0, 38, 0, 0, 0, 0, 0, 0, 0, -36, 0, 4, 0, 0, 0, 0, 0, 0, 0, -20, 0, -30, 0, 0, 0, 0, 0, 0, 0, 16, 0, -30, 0, 0, 0, 0, 0, 0, 0, 24, 0, 20, 0, 0, 0, 0, 0, 0, 0, 72, 0, -6, 0, 0, 0, 0, 0, 0, 0, 48, 0, 62, 0, 0, 0, 0, 0, 0, 0, -6, 0, 14, 0, 0, 0, 0, 0, 0, 0, -50, 0, 78, 0, 0, 0, 0, 0, 0, 0, 34, 0, 8, 0, 0, 0, 0, 0, 0, 0, 8, 0, 20, 0, 0, 0, 0, 0, 0, 0, -32, 0, 6, 0, 0, 0, 0, 0, 0, 0, 58, 0, 16, 0, 0, 0, 0, 0, 0, 0, 18, 0, -10, 0, 0, 0, 0, 0, 0, 0, -102, 0, 18, 0, 0, 0, 0, 0, 0, 0, 62, 0, 66, 0, 0, 0, 0, 0, 0, 0, -18, 0, 8, 0, 0, 0, 0, 0, 0, 0, 82, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38, 0, -4, 0, 0, 0, 0, 0, 0, 0, -6, 0, 100, 0, 0, 0, 0, 0, 0, 0, 94, 0, -60, 0, 0, 0, 0, 0, 0, 0, 18, 0, -138, 0, 0, 0, 0, 0, 0, 0, -102, 0, -4, 0, 0, 0, 0, 0, 0, 0, -30, 0, 16, 0, 0, 0, 0, 0, 0, 0, 40, 0, 20, 0, 0, 0, 0, 0, 0, 0, 24, 0, 24, 0, 0, 0, 0, 0, 0, 0, 18, 0, 18, 0, 0, 0, 0, 0, 0, 0, 124, 0, -82, 0, 0, 0, 0, 0, 0, 0, 48, 0, -12, 0, 0, 0, 0, 0, 0, 0, -52, 0, -96, 0, 0, 0, 0, 0, 0, 0, -68, 0, 138, 0, 0, 0, 0, 0, 0, 0, -108, 0, 74, 0, 0, 0, 0, 0, 0, 0, 2, 0, -48, 0, 0, 0, 0, 0, 0, 0, -2, 0, -60, 0, 0, 0, 0, 0, 0, 0, -114, 0, 24, 0, 0, 0, 0, 0, 0, 0, -30, 0, 12, 0, 0, 0, 0, 0, 0, 0, -40, 0, -100, 0, 0, 0, 0, 0, 0, 0, 36, 0, -8, 0, 0, 0, 0, 0, 0, 0, -92, 0, -48, 0, 0, 0, 0, 0, 0, 0, -14, 0, 66, 0, 0, 0, 0, 0, 0, 0, 42, 0, 34, 0, 0, 0, 0, 0, 0, 0, -126, 0, -12, 0, 0, 0, 0, 0, 0, 0, 62, 0, -102, 0, 0, 0, 0, 0, 0, 0, 18, 0, -70, 0, 0, 0, 0, 0, 0, 0, -44, 0, 78, 0, 0, 0, 0, 0, 0, 0, -40, 0, 18, 0, 0, 0, 0, 0, 0, 0, -30, 0, -10, 0, 0, 0, 0, 0, 0, 0, -80, 0, -120, 0, 0, 0, 0, 0, 0, 0, 116, 0, -168, 0, 0, 0, 0, 0, 0, 0, -78, 0, 50, 0, 0, 0, 0, 0, 0, 0, 30, 0, 24, 0, 0, 0, 0, 0, 0, 0, -80, 0, 30, 0, 0, 0, 0, 0, 0, 0, 54, 0, -10, 0, 0, 0, 0, 0, 0, 0, 96, 0, -132, 0, 0, 0, 0, 0, 0, 0, -24, 0, -20, 0, 0, 0, 0, 0, 0, 0, -66, 0, 104, 0, 0, 0, 0, 0, 0, 0, -74, 0, -26, 0, 0, 0, 0, 0, 0, 0, -106, 0, -138, 0, 0, 0, 0, 0, 0, 0, 18, 0, -46, 0, 0, 0, 0, 0, 0, 0, 48, 0, 120, 0, 0, 0, 0, 0, 0, 0, -8, 0, -142, 0, 0, 0, 0, 0, 0, 0, 84, 0, 160, 0, 0, 0, 0, 0, 0, 0, 38, 0, 60, 0, 0, 0, 0, 0, 0, 0, -86, 0, 46, 0, 0, 0, 0, 0, 0, 0, -66, 0, 62, 0, 0, 0, 0, 0, 0, 0, 24, 0, 48, 0, 0, 0, 0, 0, 0, 0, 112, 0, -36, 0, 0, 0, 0, 0, 0, 0, -36, 0, -12, 0, 0, 0, 0, 0, 0, 0, 114, 0, -102, 0, 0, 0, 0, 0, 0, 0, -78, 0, -6, 0, 0, 0, 0, 0, 0, 0, 72, 0, -76, 0, 0, 0, 0, 0, 0, 0, -4, 0, 48, 0, 0, 0, 0, 0, 0, 0, 106, 0, 50, 0, 0, 0, 0, 0, 0, 0, -6, 0, -14, 0, 0, 0, 0, 0, 0, 0, -242, 0, 30, 0, 0, 0, 0, 0, 0, 0, 100, 0, 180, 0, 0, 0, 0, 0, 0, 0, 2, 0, 16, 0, 0, 0, 0, 0, 0, 0, 60, 0, 90, 0, 0, 0, 0, 0, 0, 0, 32, 0, 20, 0, 0, 0, 0, 0, 0, 0, 114, 0, 36, 0, 0, 0, 0, 0, 0, 0, 168, 0, 24, 0, 0, 0, 0, 0, 0, 0, -152, 0, 38, 0, 0, 0, 0, 0, 0, 0, 0, 0, -174, 0, 0, 0, 0, 0, 0, 0, 112, 0, -72, 0, 0, 0, 0, 0, 0, 0, -22, 0, 66, 0, 0, 0, 0, 0, 0, 0, 192, 0, 24, 0, 0, 0, 0, 0, 0, 0, -6, 0, 30, 0, 0, 0, 0, 0, 0, 0, 6, 0, -46, 0, 0, 0, 0, 0, 0, 0, -60, 0, 86, 0, 0, 0, 0, 0, 0, 0, 40, 0, -10, 0, 0, 0, 0, 0, 0, 0, 148, 0, 44, 0, 0, 0, 0, 0, 0, 0, -138, 0, 74, 0, 0, 0, 0, 0, 0, 0, 170, 0, -150, 0, 0, 0, 0, 0, 0, 0, -68, 0, 24, 0, 0, 0, 0, 0, 0, 0, -48, 0, 8, 0, 0, 0, 0, 0, 0, 0, 102, 0, 180, 0, 0, 0, 0, 0, 0, 0, -32, 0, 6, 0, 0, 0, 0, 0, 0, 0, 6, 0, -6, 0, 0, 0, 0, 0, 0, 0, -10, 0, -6, 0, 0, 0, 0, 0, 0, 0, -4, 0, 32, 0, 0, 0, 0, 0, 0, 0, -12, 0, 42, 0, 0, 0, 0, 0, 0, 0, -170, 0, -132, 0, 0, 0, 0, 0, 0, 0, 64, 0, 30, 0, 0, 0, 0, 0, 0, 0, -24, 0, 82, 0, 0, 0, 0, 0, 0, 0, -36, 0, 216, 0, 0, 0, 0, 0, 0, 0, -10, 0, 200, 0, 0, 0, 0, 0, 0, 0, -78, 0, 80, 0, 0, 0, 0, 0, 0, 0, 12, 0, 30, 0, 0, 0, 0, 0, 0, 0, 66, 0, 2, 0, 0, 0, 0, 0, 0, 0, -10, 0, -76, 0, 0, 0, 0, 0, 0, 0, 50, 0, -126, 0, 0, 0, 0, 0, 0, 0, 90, 0, -38, 0, 0, 0, 0, 0, 0, 0, 102, 0, 14, 0, 0, 0, 0, 0, 0, 0, -12, 0, 12, 0, 0, 0, 0, 0, 0, 0, 10, 0, 86, 0, 0, 0, 0, 0, 0, 0, 168, 0, 34, 0, 0, 0, 0, 0, 0, 0, -120, 0, 12, 0, 0, 0, 0, 0, 0, 0, 64, 0, -146, 0, 0, 0, 0, 0, 0, 0, -24, 0, -82, 0, 0, 0, 0, 0, 0, 0, -158, 0, -24, 0, 0, 0, 0, 0, 0, 0, 36, 0, 132, 0, 0, 0, 0, 0, 0, 0, -144, 0, -76, 0, 0, 0, 0, 0, 0, 0, 12, 0, -4, 0, 0, 0, 0, 0, 0, 0, -22, 0, 24, 0, 0, 0, 0, 0, 0, 0, 228, 0, -104, 0, 0, 0, 0, 0, 0, 0, -50, 0, 90, 0, 0, 0, 0, 0, 0, 0, 48, 0, -76, 0, 0, 0, 0, 0, 0, 0, -42, 0, -202, 0, 0, 0, 0, 0, 0, 0, 94, 0, -24, 0, 0, 0, 0, 0, 0, 0, -44, 0, -54, 0, 0, 0, 0, 0, 0, 0, 0, 0, -114, 0, 0, 0, 0, 0, 0, 0, 20, 0, -24, 0, 0, 0, 0, 0, 0, 0, 28, 0, -90, 0, 0, 0, 0, 0, 0, 0, -36, 0, 30, 0, 0, 0, 0, 0, 0, 0, -6, 0, -18, 0, 0, 0, 0, 0, 0, 0, -116, 0, 158, 0, 0, 0, 0, 0, 0, 0, 24, 0, -4, 0, 0, 0, 0, 0, 0, 0, 60, 0, 36, 0, 0, 0, 0, 0, 0, 0, -116, 0, -300, 0, 0, 0, 0, 0, 0, 0, -114, 0, -290, 0, 0, 0, 0, 0, 0, 0, 0, 0, 162, 0, 0, 0, 0, 0, 0, 0, -138, 0, -120, 0, 0, 0, 0, 0, 0, 0, -16, 0, -52, 0, 0, 0, 0, 0, 0, 0, -44, 0, 24, 0, 0, 0, 0, 0, 0, 0, -92, 0, 30, 0, 0, 0, 0, 0, 0, 0, -30, 0, 118, 0, 0, 0, 0, 0, 0, 0, -116, 0, 18, 0, 0, 0, 0, 0, 0, 0, -122, 0, 30, 0, 0, 0, 0, 0, 0, 0, -192, 0, -80, 0, 0, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 148, 0, 204, 0, 0, 0, 0, 0, 0, 0, 156, 0, -112, 0, 0, 0, 0, 0, 0, 0, 28, 0, -114, 0, 0, 0, 0, 0, 0, 0, -24, 0, -64, 0, 0, 0, 0, 0, 0, 0, -72, 0, -38, 0, 0, 0, 0, 0, 0, 0, 302, 0, -20, 0, 0, 0, 0, 0, 0, 0, -128, 0, 354, 0, 0, 0, 0, 0, 0, 0, -54, 0, 64, 0, 0, 0, 0, 0, 0, 0, -228, 0, -30, 0, 0, 0, 0, 0, 0, 0, -44, 0, 14, 0, 0, 0, 0, 0, 0, 0, 108, 0, -150, 0, 0, 0, 0, 0, 0, 0, -174, 0, -246, 0, 0, 0, 0, 0, 0, 0, 22, 0, -106, 0, 0, 0, 0, 0, 0, 0, 132, 0, 164, 0, 0, 0, 0, 0, 0, 0, -72, 0, 138, 0, 0, 0, 0, 0, 0, 0, 16, 0, -114, 0, 0, 0, 0, 0, 0, 0, -96, 0, 6, 0, 0, 0, 0, 0, 0, 0, -78, 0, -18, 0, 0, 0, 0, 0, 0, 0, 10, 0, -22, 0, 0, 0, 0, 0, 0, 0, 180, 0, -82, 0, 0, 0, 0, 0, 0, 0, -80, 0, 108, 0, 0, 0, 0, 0, 0, 0, -90, 0, 68, 0, 0, 0, 0, 0, 0, 0, -180, 0, -208, 0, 0, 0, 0, 0, 0, 0, 346, 0, -66, 0, 0, 0, 0, 0, 0, 0, -228, 0, 156, 0, 0, 0, 0, 0, 0, 0, -48, 0, 116, 0, 0, 0, 0, 0, 0, 0, 66, 0, -24, 0, 0, 0, 0, 0, 0, 0, -98, 0, -62, 0, 0, 0, 0, 0, 0, 0, -6, 0, -62, 0, 0, 0, 0, 0, 0, 0, -50, 0, -204, 0, 0, 0, 0, 0, 0, 0, -96, 0, -96, 0, 0, 0, 0, 0, 0, 0, 210, 0, -78, 0, 0, 0, 0, 0, 0, 0, -284, 0, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, -174, 0, 0, 0, 0, 0, 0, 0, -126, 0, -64, 0, 0, 0, 0, 0, 0, 0, 234, 0, -90, 0, 0, 0, 0, 0, 0, 0, 6, 0, 110, 0, 0, 0, 0, 0, 0, 0, 144, 0, -176, 0, 0, 0, 0, 0, 0, 0, 6, 0, -14, 0, 0, 0, 0, 0, 0, 0, -146, 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, 1, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 1, 3, 0], [0, 0, 0, 0], [-3, 0, 0, 1], [0, 0, 0, 0], [-1, 0, 0, 0], [0, 0, 0, 0], [0, 0, -1, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 1, 2, 0], [0, 0, 0, 0], [-3, 0, 0, 2], [0, 0, 0, 0], [-3, 0, 0, -2], [0, 0, 0, 0], [0, 1, -1, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 5, 0], [0, 0, 0, 0], [-5, 0, 0, 1], [0, 0, 0, 0], [-5, 0, 0, 2], [0, 0, 0, 0], [0, -1, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -2, -3, 0], [0, 0, 0, 0], [-1, 0, 0, 1], [0, 0, 0, 0], [-5, 0, 0, -2], [0, 0, 0, 0], [0, 0, -10, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 2, 7, 0], [0, 0, 0, 0], [-2, 0, 0, -5], [0, 0, 0, 0], [-4, 0, 0, -1], [0, 0, 0, 0], [0, -3, 3, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -3, 10, 0], [0, 0, 0, 0], [7, 0, 0, -2], [0, 0, 0, 0], [6, 0, 0, 1], [0, 0, 0, 0], [0, 0, -1, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 4, 0], [0, 0, 0, 0], [-7, 0, 0, 2], [0, 0, 0, 0], [0, 0, 0, 6], [0, 0, 0, 0], [0, 1, -5, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -1, -3, 0], [0, 0, 0, 0], [3, 0, 0, -7], [0, 0, 0, 0], [-4, 0, 0, -2], [0, 0, 0, 0], [0, 5, 4, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -5, 5, 0], [0, 0, 0, 0], [-1, 0, 0, -1], [0, 0, 0, 0], [2, 0, 0, 1], [0, 0, 0, 0], [0, -5, 10, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 1, 9, 0], [0, 0, 0, 0], [3, 0, 0, -1], [0, 0, 0, 0]], 'ap': [[0, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 0], [0, 1, 3, 0], [-1, 0, 0, 0], [0, 0, -1, 0], [0, 1, 2, 0], [-3, 0, 0, 2], [0, 1, -1, 0], [-5, 0, 0, 1], [-5, 0, 0, 2], [0, -2, -3, 0], [-5, 0, 0, -2], [0, 0, -10, 0], [0, 2, 7, 0], [0, -3, 3, 0], [7, 0, 0, -2], [6, 0, 0, 1], [0, 0, 4, 0], [0, 0, 0, 6], [0, 1, -5, 0], [3, 0, 0, -7], [0, 5, 4, 0], [-1, 0, 0, -1], [0, 1, 9, 0], [-12, 0, 0, 3], [0, -5, -8, 0], [0, 6, -3, 0], [3, 0, 0, -1], [0, 2, 7, 0], [0, 3, -8, 0], [-6, 0, 0, -3], [0, -7, -8, 0], [1, 0, 0, 6], [4, 0, 0, 4], [5, 0, 0, 0], [0, 4, -6, 0], [0, 3, -13, 0], [0, -2, 11, 0], [0, 6, 3, 0], [-6, 0, 0, 9], [2, 0, 0, 3], [19, 0, 0, 1], [0, 4, 4, 0], [0, 7, -7, 0], [7, 0, 0, 3], [5, 0, 0, 0], [0, 2, -15, 0], [0, 7, 8, 0], [13, 0, 0, 3], [0, -1, 13, 0], [4, 0, 0, 1], [-7, 0, 0, 9], [1, 0, 0, 7], [0, 0, -18, 0], [0, -4, 13, 0], [1, 0, 0, -11], [5, 0, 0, -6], [0, -2, 3, 0], [-3, 0, 0, 6], [0, 11, 0, 0], [0, -4, -14, 0], [0, 1, 30, 0], [-13, 0, 0, -4], [0, -6, -10, 0], [0, -3, 0, 0], [3, 0, 0, -8], [0, 0, 22, 0], [0, -3, -21, 0], [11, 0, 0, -2], [0, -4, 7, 0], [6, 0, 0, 0], [0, -3, -17, 0], [0, 8, 3, 0], [31, 0, 0, 0], [0, 0, -18, 0], [12, 0, 0, 0], [0, -1, -10, 0], [-22, 0, 0, -4], [-17, 0, 0, 0], [-27, 0, 0, 0], [20, 0, 0, -3], [-7, 0, 0, -10], [0, 8, 9, 0], [-3, 0, 0, 5], [0, 2, 28, 0], [-28, 0, 0, -1], [0, 3, -5, 0], [-3, 0, 0, 12], [0, -6, -19, 0], [0, 2, -5, 0], [7, 0, 0, 4], [0, -6, 13, 0], [-11, 0, 0, -2], [-6, 0, 0, 5], [0, 2, 22, 0], [6, 0, 0, 9], [-2, 0, 0, -2], [0, 4, -14, 0], [-16, 0, 0, -3], [0, 3, 1, 0], [0, -16, 1, 0], [0, 9, -15, 0], [-10, 0, 0, 5], [4, 0, 0, -13], [0, 5, 2, 0], [0, 5, -2, 0], [0, 2, -17, 0], [-25, 0, 0, 11], [16, 0, 0, -7], [0, 0, 34, 0], [0, -17, -14, 0], [0, -6, 12, 0], [-17, 0, 0, -6], [2, 0, 0, -9], [-31, 0, 0, -4], [0, 12, -10, 0], [0, 8, 1, 0], [0, -11, -4, 0], [-13, 0, 0, -7], [27, 0, 0, -2], [0, 10, -11, 0], [0, -2, -4, 0], [0, -10, 7, 0], [-16, 0, 0, 9], [28, 0, 0, 4], [-8, 0, 0, 12], [15, 0, 0, 12], [0, -9, -2, 0], [0, -18, -19, 0], [-26, 0, 0, 9], [0, -1, 37, 0], [15, 0, 0, 1], [0, -8, -15, 0], [16, 0, 0, -8], [31, 0, 0, -6], [0, 1, 29, 0], [0, -6, 1, 0], [0, 13, 2, 0], [24, 0, 0, -12], [-27, 0, 0, 16], [20, 0, 0, -16], [0, 0, 8, 0], [0, 2, 16, 0], [29, 0, 0, -5], [4, 0, 0, -11], [0, -9, -22, 0], [0, -12, -3, 0], [20, 0, 0, 10], [0, 8, -5, 0], [0, -16, -28, 0], [18, 0, 0, 9], [0, -4, 15, 0], [0, -8, 17, 0], [0, 16, 12, 0], [2, 0, 0, 8], [-36, 0, 0, -4], [-3, 0, 0, 6], [0, 4, -24, 0], [-25, 0, 0, 14], [0, -10, -23, 0], [0, 0, -42, 0], [0, 7, -24, 0], [10, 0, 0, -5], [0, -6, 9, 0], [0, 16, -4, 0], [29, 0, 0, -15], [0, 3, -32, 0], [37, 0, 0, 0], [0, -18, -24, 0], [-34, 0, 0, -1], [22, 0, 0, -7], [-39, 0, 0, 3], [0, -9, -7, 0], [-23, 0, 0, 12], [-18, 0, 0, 12], [0, 0, 0, 4], [47, 0, 0, -4], [0, 6, 26, 0], [-4, 0, 0, -8], [0, 6, 28, 0], [4, 0, 0, -11], [0, 6, 35, 0], [0, 0, 18, 0], [0, -2, 47, 0], [-5, 0, 0, 4], [0, -6, -38, 0], [0, -9, 41, 0], [7, 0, 0, 18], [56, 0, 0, -4], [0, 5, -36, 0], [0, 0, -36, 0], [15, 0, 0, 10], [5, 0, 0, 5], [0, -7, -41, 0], [0, 6, -3, 0], [-22, 0, 0, 6], [0, 22, 1, 0], [0, 5, 13, 0], [0, -7, -8, 0], [32, 0, 0, -13], [-2, 0, 0, 11], [0, 1, -12, 0], [9, 0, 0, -13], [46, 0, 0, -8], [0, 1, -37, 0], [12, 0, 0, 8], [0, -16, 1, 0], [-10, 0, 0, 8], [-22, 0, 0, 3], [0, 12, 13, 0], [-3, 0, 0, -6], [0, -3, -31, 0], [0, -10, -20, 0], [-37, 0, 0, 2], [-16, 0, 0, -6], [0, -20, -12, 0], [15, 0, 0, 15], [0, 9, -33, 0], [0, -5, -49, 0], [-53, 0, 0, 5], [-11, 0, 0, 0], [4, 0, 0, -8], [0, -3, 2, 0], [0, -6, -15, 0], [1, 0, 0, 12], [0, -21, -9, 0], [-6, 0, 0, -6], [0, -12, -8, 0], [-19, 0, 0, 29], [0, -9, 11, 0], [-23, 0, 0, -12], [-5, 0, 0, 8], [15, 0, 0, -12], [0, -5, 10, 0], [0, -12, -3, 0], [-28, 0, 0, -2], [0, -1, -47, 0], [-29, 0, 0, 1], [40, 0, 0, 1], [0, -16, -41, 0], [-16, 0, 0, 6], [0, -2, 10, 0], [-23, 0, 0, 0], [0, 18, -6, 0], [-12, 0, 0, 9], [0, -3, 25, 0], [2, 0, 0, 5], [-29, 0, 0, -3], [0, -2, 32, 0], [0, -6, -44, 0], [-1, 0, 0, 2], [0, 10, 38, 0], [37, 0, 0, 0], [0, 3, -21, 0], [44, 0, 0, -10], [-37, 0, 0, 18], [0, 0, 61, 0], [0, 1, -49, 0], [0, 12, 10, 0], [0, 12, 8, 0], [0, 6, 18, 0], [-39, 0, 0, 14], [0, 25, 4, 0], [0, -14, -13, 0], [-8, 0, 0, -6], [39, 0, 0, -24], [-60, 0, 0, -3], [0, -18, -7, 0], [0, 12, -45, 0], [50, 0, 0, -18], [0, -8, -51, 0], [0, -18, 8, 0], [13, 0, 0, -18], [0, 17, 14, 0], [0, 14, -15, 0], [0, 0, 12, 0], [1, 0, 0, 3], [-12, 0, 0, -17], [19, 0, 0, 16], [0, 19, 2, 0], [-52, 0, 0, 0], [0, 19, -19, 0], [35, 0, 0, -12], [0, 21, 13, 0], [8, 0, 0, -28], [0, -15, -16, 0], [0, -9, 33, 0], [-30, 0, 0, 11], [-13, 0, 0, 23], [-55, 0, 0, 8], [0, 22, 17, 0], [0, 12, 48, 0], [-3, 0, 0, 9], [0, 0, 35, 0], [-22, 0, 0, -19], [-17, 0, 0, 2], [0, -6, -63, 0], [38, 0, 0, -4], [0, -4, -31, 0], [0, 2, 39, 0], [0, -12, 6, 0], [-40, 0, 0, 7]], 'char_orbit_index': 2, 'field_poly': [25, 0, 11, 0, 1], 'hecke_orbit_code': 13510867635143756, 'hecke_ring_character_values': [[551, [1, 0, 0, 0]], [177, [-1, 0, 0, 0]], [101, [1, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 5, 1], 'hecke_ring_inverse_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [-6, 0, 0, 1], [0, -6, 5, 0]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [0, 6, 0, 1], [6, 0, 1, 0]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '1100.2.b.d', 'level': 1100, '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': 4400, 'analytic_conductor': 8.783544222340842, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [1100, 2, [551, 177, 101], [2, 1, 2]], 'conrey_index': 749, 'cusp_dim': 162, 'dim': 14, 'eis_dim': 36, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 68753032268, 'hecke_orbit_dims': [2, 2, 2, 4, 4], 'label': '1100.2.b', 'level': 1100, '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, 5, 11], 'level_radical': 110, 'mf_dim': 198, 'mf_new_dim': 14, 'num_forms': 5, 'prim_orbit_index': 2, 'relative_dim': 14, 'sturm_bound': 360, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [14, 0, 0, 0, 0, 0, 0, 0, -20, 0, -2, 0, 0, 0, 0, 0, 0, 0, -4, 0, 32, 0, 0, 0, 0, 0, 0, 0, 4, 0, 2, 0, 0, 0, 0, 0, 0, 0, 28, 0, -28, 0, 0, 0, 0, 0, 0, 0, -26, 0, -20, 0, 0, 0, 0, 0, 0, 0, 58, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 22, 0, 0, 0, 0, 0, 0, 0, -24, 0, 14, 0, 0, 0, 0, 0, 0, 0, 30, 0, -20, 0, 0, 0, 0, 0, 0, 0, -4, 0, -4, 0, 0, 0, 0, 0, 0, 0, -16, 0, 2, 0, 0, 0, 0, 0, 0, 0, -72, 0, 14, 0, 0, 0, 0, 0, 0, 0, 68, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 84, 0, -32, 0, 0, 0, 0, 0, 0, 0, -28, 0, -24, 0, 0, 0, 0, 0, 0, 0, 46, 0, 4, 0, 0, 0, 0, 0, 0, 0, -42, 0, -14, 0, 0, 0, 0, 0, 0, 0, -140, 0, 18, 0, 0, 0, 0, 0, 0, 0, 44, 0, 102, 0, 0, 0, 0, 0, 0, 0, 28, 0, 84, 0, 0, 0, 0, 0, 0, 0, -132, 0, -36, 0, 0, 0, 0, 0, 0, 0, 6, 0, 24, 0, 0, 0, 0, 0, 0, 0, -4, 0, -28, 0, 0, 0, 0, 0, 0, 0, -132, 0, 50, 0, 0, 0, 0, 0, 0, 0, 68, 0, -16, 0, 0, 0, 0, 0, 0, 0, 104, 0, -60, 0, 0, 0, 0, 0, 0, 0, 184, 0, -24, 0, 0, 0, 0, 0, 0, 0, 66, 0, 74, 0, 0, 0, 0, 0, 0, 0, -168, 0, -56, 0, 0, 0, 0, 0, 0, 0, 44, 0, -120, 0, 0, 0, 0, 0, 0, 0, 16, 0, -128, 0, 0, 0, 0, 0, 0, 0, -48, 0, -110, 0, 0, 0, 0, 0, 0, 0, -46, 0, -18, 0, 0, 0, 0, 0, 0, 0, 64, 0, -148, 0, 0, 0, 0, 0, 0, 0, 56, 0, 30, 0, 0, 0, 0, 0, 0, 0, 172, 0, 132, 0, 0, 0, 0, 0, 0, 0, -26, 0, 48, 0, 0, 0, 0, 0, 0, 0, 54, 0, -72, 0, 0, 0, 0, 0, 0, 0, 8, 0, -52, 0, 0, 0, 0, 0, 0, 0, -144, 0, 126, 0, 0, 0, 0, 0, 0, 0, 48, 0, -32, 0, 0, 0, 0, 0, 0, 0, 48, 0, 16, 0, 0, 0, 0, 0, 0, 0, -100, 0, 176, 0, 0, 0, 0, 0, 0, 0, -66, 0, -4, 0, 0, 0, 0, 0, 0, 0, -40, 0, 12, 0, 0, 0, 0, 0, 0, 0, -196, 0, -22, 0, 0, 0, 0, 0, 0, 0, 36, 0, 4, 0, 0, 0, 0, 0, 0, 0, 32, 0, 60, 0, 0, 0, 0, 0, 0, 0, 68, 0, 132, 0, 0, 0, 0, 0, 0, 0, 46, 0, 220, 0, 0, 0, 0, 0, 0, 0, 8, 0, 10, 0, 0, 0, 0, 0, 0, 0, 4, 0, -88, 0, 0, 0, 0, 0, 0, 0, 34, 0, -24, 0, 0, 0, 0, 0, 0, 0, -12, 0, 124, 0, 0, 0, 0, 0, 0, 0, -160, 0, -8, 0, 0, 0, 0, 0, 0, 0, -120, 0, 200, 0, 0, 0, 0, 0, 0, 0, -280, 0, -120, 0, 0, 0, 0, 0, 0, 0, 92, 0, -168, 0, 0, 0, 0, 0, 0, 0, -12, 0, 116, 0, 0, 0, 0, 0, 0, 0, 276, 0, 12, 0, 0, 0, 0, 0, 0, 0, -34, 0, -246, 0, 0, 0, 0, 0, 0, 0, -48, 0, 38, 0, 0, 0, 0, 0, 0, 0, 260, 0, 6, 0, 0, 0, 0, 0, 0, 0, -26, 0, -32, 0, 0, 0, 0, 0, 0, 0, 72, 0, 10, 0, 0, 0, 0, 0, 0, 0, -62, 0, -44, 0, 0, 0, 0, 0, 0, 0, -112, 0, 44, 0, 0, 0, 0, 0, 0, 0, 72, 0, 18, 0, 0, 0, 0, 0, 0, 0, 300, 0, 172, 0, 0, 0, 0, 0, 0, 0, -94, 0, -144, 0, 0, 0, 0, 0, 0, 0, 38, 0, 172, 0, 0, 0, 0, 0, 0, 0, -146, 0, -40, 0, 0, 0, 0, 0, 0, 0, -108, 0, -44, 0, 0, 0, 0, 0, 0, 0, -84, 0, 178, 0, 0, 0, 0, 0, 0, 0, 66, 0, 96, 0, 0, 0, 0, 0, 0, 0, -76, 0, -220, 0, 0, 0, 0, 0, 0, 0, -64, 0, -14, 0, 0, 0, 0, 0, 0, 0, -48, 0, -204, 0, 0, 0, 0, 0, 0, 0, -44, 0, -168, 0, 0, 0, 0, 0, 0, 0, -120, 0, -120, 0, 0, 0, 0, 0, 0, 0, 320, 0, 156, 0, 0, 0, 0, 0, 0, 0, 162, 0, -40, 0, 0, 0, 0, 0, 0, 0, -6, 0, -162, 0, 0, 0, 0, 0, 0, 0, -176, 0, -6, 0, 0, 0, 0, 0, 0, 0, 154, 0, 96, 0, 0, 0, 0, 0, 0, 0, 20, 0, 40, 0, 0, 0, 0, 0, 0, 0, 216, 0, -58, 0, 0, 0, 0, 0, 0, 0, -88, 0, 94, 0, 0, 0, 0, 0, 0, 0, 156, 0, -92, 0, 0, 0, 0, 0, 0, 0, 28, 0, 48, 0, 0, 0, 0, 0, 0, 0, -60, 0, 256, 0, 0, 0, 0, 0, 0, 0, 100, 0, -248, 0, 0, 0, 0, 0, 0, 0, 154, 0, -64, 0, 0, 0, 0, 0, 0, 0, -76, 0, -74, 0, 0, 0, 0, 0, 0, 0, 120, 0, -40, 0, 0, 0, 0, 0, 0, 0, -164, 0, -186, 0, 0, 0, 0, 0, 0, 0, 30, 0, -128, 0, 0, 0, 0, 0, 0, 0, -228, 0, 108, 0, 0, 0, 0, 0, 0, 0, -74, 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: 646559
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '1100.2.b.d', 'source_level': 1100, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 7, 'target_is_minimal': True, 'target_label': '1100.2.a.g', 'target_level': 1100, 'twist_class_label': '1100.2.a.g', 'twist_class_level': 1100, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 646560
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '1100.2.b.d', 'source_level': 1100, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': True, 'target_label': '1100.2.a.h', 'target_level': 1100, 'twist_class_label': '1100.2.a.g', 'twist_class_level': 1100, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 646561
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '1100.2.b.d', 'source_level': 1100, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '1100.2.b.d', 'target_level': 1100, 'twist_class_label': '1100.2.a.g', 'twist_class_level': 1100, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 646562
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '1100.2.b.d', 'source_level': 1100, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '1100.2.b.d', 'target_level': 1100, 'twist_class_label': '1100.2.a.g', 'twist_class_level': 1100, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 646563
    {'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '1100.2.b.d', 'source_level': 1100, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 35, 'target_is_minimal': False, 'target_label': '4400.2.a.bi', 'target_level': 4400, 'twist_class_label': '1100.2.a.g', 'twist_class_level': 1100, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 646564
    {'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '1100.2.b.d', 'source_level': 1100, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 47, 'target_is_minimal': False, 'target_label': '4400.2.a.bu', 'target_level': 4400, 'twist_class_label': '1100.2.a.g', 'twist_class_level': 1100, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 646565
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '1100.2.b.d', 'source_level': 1100, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 19, 'target_is_minimal': False, 'target_label': '4400.2.b.s', 'target_level': 4400, 'twist_class_label': '1100.2.a.g', 'twist_class_level': 1100, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 646566
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '1100.2.b.d', 'source_level': 1100, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 19, 'target_is_minimal': False, 'target_label': '4400.2.b.s', 'target_level': 4400, 'twist_class_label': '1100.2.a.g', 'twist_class_level': 1100, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 646567
    {'conductor': 15, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '1100.2.b.d', 'source_level': 1100, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 34, 'target_is_minimal': False, 'target_label': '9900.2.a.bh', 'target_level': 9900, 'twist_class_label': '1100.2.a.g', 'twist_class_level': 1100, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 646568
    {'conductor': 15, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '1100.2.b.d', 'source_level': 1100, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 52, 'target_is_minimal': False, 'target_label': '9900.2.a.bz', 'target_level': 9900, 'twist_class_label': '1100.2.a.g', 'twist_class_level': 1100, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 646569
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '1100.2.b.d', 'source_level': 1100, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 24, 'target_is_minimal': False, 'target_label': '9900.2.c.x', 'target_level': 9900, 'twist_class_label': '1100.2.a.g', 'twist_class_level': 1100, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 646570
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '1100.2.b.d', 'source_level': 1100, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 24, 'target_is_minimal': False, 'target_label': '9900.2.c.x', 'target_level': 9900, 'twist_class_label': '1100.2.a.g', 'twist_class_level': 1100, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1684325
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 13510867635143756, 'p': 2}
  • id: 1684326
    {'charpoly_factorization': [[[25, 0, 11, 0, 1], 1]], 'hecke_orbit_code': 13510867635143756, 'p': 3}
  • id: 1684327
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 13510867635143756, 'p': 5}
  • id: 1684328
    {'charpoly_factorization': [[[1, 0, 23, 0, 1], 1]], 'hecke_orbit_code': 13510867635143756, 'p': 7}
  • id: 1684329
    {'charpoly_factorization': [[[1, 1], 4]], 'hecke_orbit_code': 13510867635143756, 'p': 11}
  • id: 1684330
    {'charpoly_factorization': [[[1, 0, 1], 2]], 'hecke_orbit_code': 13510867635143756, 'p': 13}
  • id: 1684331
    {'charpoly_factorization': [[[9, 0, 15, 0, 1], 1]], 'hecke_orbit_code': 13510867635143756, 'p': 17}
  • id: 1684332
    {'charpoly_factorization': [[[-17, 4, 1], 2]], 'hecke_orbit_code': 13510867635143756, 'p': 19}
  • id: 1684333
    {'charpoly_factorization': [[[9, 0, 15, 0, 1], 1]], 'hecke_orbit_code': 13510867635143756, 'p': 23}
  • id: 1684334
    {'charpoly_factorization': [[[15, 9, 1], 2]], 'hecke_orbit_code': 13510867635143756, 'p': 29}
  • id: 1684335
    {'charpoly_factorization': [[[-5, 8, 1], 2]], 'hecke_orbit_code': 13510867635143756, 'p': 31}
  • id: 1684336
    {'charpoly_factorization': [[[289, 0, 50, 0, 1], 1]], 'hecke_orbit_code': 13510867635143756, 'p': 37}
  • id: 1684337
    {'charpoly_factorization': [[[15, 12, 1], 2]], 'hecke_orbit_code': 13510867635143756, 'p': 41}
  • id: 1684338
    {'charpoly_factorization': [[[100, 0, 1], 2]], 'hecke_orbit_code': 13510867635143756, 'p': 43}
  • id: 1684339
    {'charpoly_factorization': [[[225, 0, 114, 0, 1], 1]], 'hecke_orbit_code': 13510867635143756, 'p': 47}
  • id: 1684340
    {'charpoly_factorization': [[[729, 0, 135, 0, 1], 1]], 'hecke_orbit_code': 13510867635143756, 'p': 53}
  • id: 1684341
    {'charpoly_factorization': [[[15, -12, 1], 2]], 'hecke_orbit_code': 13510867635143756, 'p': 59}
  • id: 1684342
    {'charpoly_factorization': [[[37, -13, 1], 2]], 'hecke_orbit_code': 13510867635143756, 'p': 61}
  • id: 1684343
    {'charpoly_factorization': [[[16, 0, 1], 2]], 'hecke_orbit_code': 13510867635143756, 'p': 67}
  • id: 1684344
    {'charpoly_factorization': [[[-180, -6, 1], 2]], 'hecke_orbit_code': 13510867635143756, 'p': 71}
  • id: 1684345
    {'charpoly_factorization': [[[625, 0, 71, 0, 1], 1]], 'hecke_orbit_code': 13510867635143756, 'p': 73}
  • id: 1684346
    {'charpoly_factorization': [[[-257, 1, 1], 2]], 'hecke_orbit_code': 13510867635143756, 'p': 79}
  • id: 1684347
    {'charpoly_factorization': [[[16641, 0, 267, 0, 1], 1]], 'hecke_orbit_code': 13510867635143756, 'p': 83}
  • id: 1684348
    {'charpoly_factorization': [[[-3, 3, 1], 2]], 'hecke_orbit_code': 13510867635143756, 'p': 89}
  • id: 1684349
    {'charpoly_factorization': [[[4489, 0, 155, 0, 1], 1]], 'hecke_orbit_code': 13510867635143756, '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': 4, 'label': '1100.2.b.d', 'level': 1100, '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: 35827147
    {'hecke_orbit_code': 13510867635143756, 'n': 1, 'trace_an': 4}
  • id: 35827148
    {'hecke_orbit_code': 13510867635143756, 'n': 2, 'trace_an': 0}
  • id: 35827149
    {'hecke_orbit_code': 13510867635143756, 'n': 3, 'trace_an': 0}
  • id: 35827150
    {'hecke_orbit_code': 13510867635143756, 'n': 4, 'trace_an': 0}
  • id: 35827151
    {'hecke_orbit_code': 13510867635143756, 'n': 5, 'trace_an': 0}
  • id: 35827152
    {'hecke_orbit_code': 13510867635143756, 'n': 6, 'trace_an': 0}
  • id: 35827153
    {'hecke_orbit_code': 13510867635143756, 'n': 7, 'trace_an': 0}
  • id: 35827154
    {'hecke_orbit_code': 13510867635143756, 'n': 8, 'trace_an': 0}
  • id: 35827155
    {'hecke_orbit_code': 13510867635143756, 'n': 9, 'trace_an': -10}
  • id: 35827156
    {'hecke_orbit_code': 13510867635143756, 'n': 10, 'trace_an': 0}
  • id: 35827157
    {'hecke_orbit_code': 13510867635143756, 'n': 11, 'trace_an': -4}
  • id: 35827158
    {'hecke_orbit_code': 13510867635143756, 'n': 12, 'trace_an': 0}
  • id: 35827159
    {'hecke_orbit_code': 13510867635143756, 'n': 13, 'trace_an': 0}
  • id: 35827160
    {'hecke_orbit_code': 13510867635143756, 'n': 14, 'trace_an': 0}
  • id: 35827161
    {'hecke_orbit_code': 13510867635143756, 'n': 15, 'trace_an': 0}
  • id: 35827162
    {'hecke_orbit_code': 13510867635143756, 'n': 16, 'trace_an': 0}
  • id: 35827163
    {'hecke_orbit_code': 13510867635143756, 'n': 17, 'trace_an': 0}
  • id: 35827164
    {'hecke_orbit_code': 13510867635143756, 'n': 18, 'trace_an': 0}
  • id: 35827165
    {'hecke_orbit_code': 13510867635143756, 'n': 19, 'trace_an': -8}
  • id: 35827166
    {'hecke_orbit_code': 13510867635143756, 'n': 20, 'trace_an': 0}
  • id: 35827167
    {'hecke_orbit_code': 13510867635143756, 'n': 21, 'trace_an': -16}
  • id: 35827168
    {'hecke_orbit_code': 13510867635143756, 'n': 22, 'trace_an': 0}
  • id: 35827169
    {'hecke_orbit_code': 13510867635143756, 'n': 23, 'trace_an': 0}
  • id: 35827170
    {'hecke_orbit_code': 13510867635143756, 'n': 24, 'trace_an': 0}
  • id: 35827171
    {'hecke_orbit_code': 13510867635143756, 'n': 25, 'trace_an': 0}
  • id: 35827172
    {'hecke_orbit_code': 13510867635143756, 'n': 26, 'trace_an': 0}
  • id: 35827173
    {'hecke_orbit_code': 13510867635143756, 'n': 27, 'trace_an': 0}
  • id: 35827174
    {'hecke_orbit_code': 13510867635143756, 'n': 28, 'trace_an': 0}
  • id: 35827175
    {'hecke_orbit_code': 13510867635143756, 'n': 29, 'trace_an': -18}
  • id: 35827176
    {'hecke_orbit_code': 13510867635143756, 'n': 30, 'trace_an': 0}
  • id: 35827177
    {'hecke_orbit_code': 13510867635143756, 'n': 31, 'trace_an': -16}
  • id: 35827178
    {'hecke_orbit_code': 13510867635143756, 'n': 32, 'trace_an': 0}
  • id: 35827179
    {'hecke_orbit_code': 13510867635143756, 'n': 33, 'trace_an': 0}
  • id: 35827180
    {'hecke_orbit_code': 13510867635143756, 'n': 34, 'trace_an': 0}
  • id: 35827181
    {'hecke_orbit_code': 13510867635143756, 'n': 35, 'trace_an': 0}
  • id: 35827182
    {'hecke_orbit_code': 13510867635143756, 'n': 36, 'trace_an': 0}
  • id: 35827183
    {'hecke_orbit_code': 13510867635143756, 'n': 37, 'trace_an': 0}
  • id: 35827184
    {'hecke_orbit_code': 13510867635143756, 'n': 38, 'trace_an': 0}
  • id: 35827185
    {'hecke_orbit_code': 13510867635143756, 'n': 39, 'trace_an': -2}
  • id: 35827186
    {'hecke_orbit_code': 13510867635143756, 'n': 40, 'trace_an': 0}
  • id: 35827187
    {'hecke_orbit_code': 13510867635143756, 'n': 41, 'trace_an': -24}
  • id: 35827188
    {'hecke_orbit_code': 13510867635143756, 'n': 42, 'trace_an': 0}
  • id: 35827189
    {'hecke_orbit_code': 13510867635143756, 'n': 43, 'trace_an': 0}
  • id: 35827190
    {'hecke_orbit_code': 13510867635143756, 'n': 44, 'trace_an': 0}
  • id: 35827191
    {'hecke_orbit_code': 13510867635143756, 'n': 45, 'trace_an': 0}
  • id: 35827192
    {'hecke_orbit_code': 13510867635143756, 'n': 46, 'trace_an': 0}
  • id: 35827193
    {'hecke_orbit_code': 13510867635143756, 'n': 47, 'trace_an': 0}
  • id: 35827194
    {'hecke_orbit_code': 13510867635143756, 'n': 48, 'trace_an': 0}
  • id: 35827195
    {'hecke_orbit_code': 13510867635143756, 'n': 49, 'trace_an': -18}
  • id: 35827196
    {'hecke_orbit_code': 13510867635143756, 'n': 50, 'trace_an': 0}
  • id: 35827197
    {'hecke_orbit_code': 13510867635143756, 'n': 51, 'trace_an': -18}
  • id: 35827198
    {'hecke_orbit_code': 13510867635143756, 'n': 52, 'trace_an': 0}
  • id: 35827199
    {'hecke_orbit_code': 13510867635143756, 'n': 53, 'trace_an': 0}
  • id: 35827200
    {'hecke_orbit_code': 13510867635143756, 'n': 54, 'trace_an': 0}
  • id: 35827201
    {'hecke_orbit_code': 13510867635143756, 'n': 55, 'trace_an': 0}
  • id: 35827202
    {'hecke_orbit_code': 13510867635143756, 'n': 56, 'trace_an': 0}
  • id: 35827203
    {'hecke_orbit_code': 13510867635143756, 'n': 57, 'trace_an': 0}
  • id: 35827204
    {'hecke_orbit_code': 13510867635143756, 'n': 58, 'trace_an': 0}
  • id: 35827205
    {'hecke_orbit_code': 13510867635143756, 'n': 59, 'trace_an': 24}
  • id: 35827206
    {'hecke_orbit_code': 13510867635143756, 'n': 60, 'trace_an': 0}
  • id: 35827207
    {'hecke_orbit_code': 13510867635143756, 'n': 61, 'trace_an': 26}
  • id: 35827208
    {'hecke_orbit_code': 13510867635143756, 'n': 62, 'trace_an': 0}
  • id: 35827209
    {'hecke_orbit_code': 13510867635143756, 'n': 63, 'trace_an': 0}
  • id: 35827210
    {'hecke_orbit_code': 13510867635143756, 'n': 64, 'trace_an': 0}
  • id: 35827211
    {'hecke_orbit_code': 13510867635143756, 'n': 65, 'trace_an': 0}
  • id: 35827212
    {'hecke_orbit_code': 13510867635143756, 'n': 66, 'trace_an': 0}
  • id: 35827213
    {'hecke_orbit_code': 13510867635143756, 'n': 67, 'trace_an': 0}
  • id: 35827214
    {'hecke_orbit_code': 13510867635143756, 'n': 68, 'trace_an': 0}
  • id: 35827215
    {'hecke_orbit_code': 13510867635143756, 'n': 69, 'trace_an': -24}
  • id: 35827216
    {'hecke_orbit_code': 13510867635143756, 'n': 70, 'trace_an': 0}
  • id: 35827217
    {'hecke_orbit_code': 13510867635143756, 'n': 71, 'trace_an': 12}
  • id: 35827218
    {'hecke_orbit_code': 13510867635143756, 'n': 72, 'trace_an': 0}
  • id: 35827219
    {'hecke_orbit_code': 13510867635143756, 'n': 73, 'trace_an': 0}
  • id: 35827220
    {'hecke_orbit_code': 13510867635143756, 'n': 74, 'trace_an': 0}
  • id: 35827221
    {'hecke_orbit_code': 13510867635143756, 'n': 75, 'trace_an': 0}
  • id: 35827222
    {'hecke_orbit_code': 13510867635143756, 'n': 76, 'trace_an': 0}
  • id: 35827223
    {'hecke_orbit_code': 13510867635143756, 'n': 77, 'trace_an': 0}
  • id: 35827224
    {'hecke_orbit_code': 13510867635143756, 'n': 78, 'trace_an': 0}
  • id: 35827225
    {'hecke_orbit_code': 13510867635143756, 'n': 79, 'trace_an': -2}
  • id: 35827226
    {'hecke_orbit_code': 13510867635143756, 'n': 80, 'trace_an': 0}
  • id: 35827227
    {'hecke_orbit_code': 13510867635143756, 'n': 81, 'trace_an': -20}
  • id: 35827228
    {'hecke_orbit_code': 13510867635143756, 'n': 82, 'trace_an': 0}
  • id: 35827229
    {'hecke_orbit_code': 13510867635143756, 'n': 83, 'trace_an': 0}
  • id: 35827230
    {'hecke_orbit_code': 13510867635143756, 'n': 84, 'trace_an': 0}
  • id: 35827231
    {'hecke_orbit_code': 13510867635143756, 'n': 85, 'trace_an': 0}
  • id: 35827232
    {'hecke_orbit_code': 13510867635143756, 'n': 86, 'trace_an': 0}
  • id: 35827233
    {'hecke_orbit_code': 13510867635143756, 'n': 87, 'trace_an': 0}
  • id: 35827234
    {'hecke_orbit_code': 13510867635143756, 'n': 88, 'trace_an': 0}
  • id: 35827235
    {'hecke_orbit_code': 13510867635143756, 'n': 89, 'trace_an': -6}
  • id: 35827236
    {'hecke_orbit_code': 13510867635143756, 'n': 90, 'trace_an': 0}
  • id: 35827237
    {'hecke_orbit_code': 13510867635143756, 'n': 91, 'trace_an': 10}
  • id: 35827238
    {'hecke_orbit_code': 13510867635143756, 'n': 92, 'trace_an': 0}
  • id: 35827239
    {'hecke_orbit_code': 13510867635143756, 'n': 93, 'trace_an': 0}
  • id: 35827240
    {'hecke_orbit_code': 13510867635143756, 'n': 94, 'trace_an': 0}
  • id: 35827241
    {'hecke_orbit_code': 13510867635143756, 'n': 95, 'trace_an': 0}
  • id: 35827242
    {'hecke_orbit_code': 13510867635143756, 'n': 96, 'trace_an': 0}
  • id: 35827243
    {'hecke_orbit_code': 13510867635143756, 'n': 97, 'trace_an': 0}
  • id: 35827244
    {'hecke_orbit_code': 13510867635143756, 'n': 98, 'trace_an': 0}
  • id: 35827245
    {'hecke_orbit_code': 13510867635143756, 'n': 99, 'trace_an': 10}
  • id: 35827246
    {'hecke_orbit_code': 13510867635143756, 'n': 100, 'trace_an': 0}