Embedded newform data - 1150.2.a.k.1.2

Formats: - HTML - YAML - JSON - 2026-08-10T18:06:54.421981

• 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': 4600, 'analytic_conductor': 9.182796232447243, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [5, 1], [23, 1]], 'atkin_lehner_string': '+++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1150, 1, [277, 51], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 17, 'field_disc_factorization': [[17, 1]], 'field_poly': [-4, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-4, 1, 1]], [7, [-4, 1, 1]], [11, [1, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45035996307260542, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1150.2.a.k', 'level': 1150, '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, 23], 'level_radical': 230, 'minimal_twist': '1150.2.a.k', 'nf_label': '2.2.17.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}-\\beta q^{3}+q^{4}+\\beta q^{6}+(-1+\\beta )q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1150.2.a', 'trace_display': [-2, -1, 0, -1], 'trace_hash': 573699886797086104, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '2.079', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '10.161', 'prec': 17}, 0, {'__RealLiteral__': 0, 'data': '66.939', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.010', 'prec': 7}, 'traces': [2, -2, -1, 2, 0, 1, -1, -2, 3, 0, -2, -1, -3, 1, 0, 2, -7, -3, 6, 0, -8, 2, -2, 1, 0, 3, -7, -1, 7, 0, -2, -2, 1, 7, 0, 3, 2, -6, 10, 0, -12, 8, -3, -2, 0, 2, -12, -1, -5, 0, -5, -3, -10, 7, 0, 1, -3, -7, 8, 0, -12, 2, 7, 2, 0, -1, 7, -7, 1, 0, -6, -3, 4, -2, 0, 6, 1, -10, 3, 0, -14, 12, -4, -8, 0, 3, -12, 2, -21, 0, -7, -2, -16, 12, 0, 1, 0, 5, -3, 0, -2, 5, -1, 3, 0, 10, -11, -7, 6, 0, -18, -1, -11, 3, 0, 7, -13, -8, 12, 0, -20, 12, 23, -2, 0, -7, 20, -2, -24, 0, 6, 1, -3, -7, 0, 7, -1, -1, -15, 0, 6, 6, 3, 3, 0, -4, 11, 2, -36, 0, 18, -6, -2, -1, 0, 10, 12, -3, -12, 0, 1, 14, 7, -12, 0, 4, -20, 8, -13, 0, 9, -3, -7, 12, 0, -2, -4, 21, -9, 0, 14, 7, 40, 2, 0, 16, 7, -12, 12, 0, 7, -1, -3, 0, 0, -5, -11, 3, -17, 0, 5, 2, 5, -5, 0, 1, -3, -3, -6, 0, 25, -10, 20, 11, 0, 7, 18, -6, 15, 0, 2, 18, -6, 1, 0, 11, -36, -3, 20, 0, 8, -7, 31, 13, 0, 8, 58, -12, 16, 0, -15, 20, 28, -12, 0, -23, -9, 2, -15, 0, -11, 7, 2, -20, 0, 2, -4, 24, 16, 0, 19, -6, 28, -1, 0, 3, 19, 7, -15, 0, 24, -7, 12, 1, 0, 1, 25, 15, 14, 0, 32, -6, 3, -6, 0, -3, -11, -3, -1, 0, -34, 4, -8, -11, 0, -2, 7, 36, 3, 0, 27, -18, 52, 6, 0, 2, 31, 1, 26, 0, 26, -10, -34, -12, 0, 3, -31, 12, -7, 0, -37, -1, -21, -14, 0, -7, -54, 12, 6, 0, 7, -4, 20, 20, 0, -8, 53, 13, 65, 0, 2, -9, 1, 3, 0, 7, -57, -12, 5, 0, 2, 2, -3, 4, 0, -21, 28, 9, -31, 0, -20, -14, 10, -7, 0, -40, 29, -2, -35, 0, 22, -16, 0, -7, 0, 12, -19, -12, 5, 0, 24, -7, -15, 1, 0, 3, 21, 0, -54, 0, 7, 5, -20, 11, 0, -3, 22, 17, -24, 0, 19, -5, -14, -2, 0, -5, -2, 5, -42, 0, 43, -1, -4, 3, 0, 3, -1, 6, 32, 0, -48, -25, -18, 10, 0, -20, -28, -11, -10, 0, 20, -7, -3, -18, 0, 6, -6, -15, 70, 0, -16, -2, 15, -18, 0, 6, 18, -1, -13, 0, 12, -11, -60, 36, 0, 3, 7, -20, 33, 0, 19, -8, -34, 7, 0, -31, 3, -13, -12, 0, -6, -8, 3, -58, 0, 12, 2, -16, 23, 0, -20, 15, 8, -20, 0, -28, 8, 12, 39, 0, -4, 23, -16, 9, 0, -2, -14, 15, 10, 0, 10, 11, -39, -7, 0, -2, -19, 20, -42, 0, -19, -2, -21, 4, 0, -24, 12, -16, 80, 0, -25, -19, 4, 6, 0, -28, 24, 1, 2, 0, 12, -3, 35, -19, 0, -7, 47, 15, 5, 0, -5, -24, -58, 7, 0, -12, 21, -1, -52, 0, 21, -1, -61, -25, 0, -15, -2, -14, -21, 0, 5, -32, -11, 6, 0, -3, 7, 6, 59, 0, -72, 3, -80, 11, 0, 3, -80, 1, 61, 0, 19, 34, 10, -4, 0, 8, 53, 11, -6, 0, -20, 2, -26, -7, 0, -36, 34, -3, -54, 0, -39, -27, 2, 18, 0, -52, 4, -6, -28, 0, 18, -2, -24, -31, 0, -1, -6, -26, -8, 0, 7, -26, 2, 10, 0, 34, 3, 12, 10, 0, 41, -3, 13, 31, 0, -12, 16, 7, -26, 0, -2, 37, -63, 1, 0, 21, -50, 14, -8, 0, 8, 7, -67, 54, 0, -12, -11, -6, 6, 0, 2, -7, -18, 4, 0, -20, -7, -20, 88, 0, 12, 8, 55, -53, 0, -13, 18, -65, 34, 0, -16, -2, 1, 9, 0, -1, -10, -3, -2, 0, -15, -7, -7, 57, 0, 12, 25, -5, 10, 0, 52, -2, 6, -2, 0, 3, -50, -4, -2, 0, -55, 21, 2, -28, 0, -9, -42, 31, 28, 0, -25, 20, 33, 14, 0, -10, 12, 7, -6, 0, 36, 40, -4, -29, 0, 2, -7, 35, -58, 0, 30, -22, -7, 16, 0, 0, 11, 7, 48, 0, 3, -12, 31, 19, 0, 12, 60, -5, -1, 0, 26, -24, 48, 7, 0, 15, -12, -1, 23, 0, -66, -3, -28, -21, 0, 0, -8, 54, -36, 0, 6, -7, -16, -5, 0, 20, -41, -11, 20, 0, -54, 3, 52, -22, 0, -17, 34, 24, 42, 0, -40, -19, -4, 5, 0, 14, -86, 2, 51, 0, 24, 5, 22, 2, 0, -5, -9, 42, -19, 0, 21, -43, -30, 1, 0, 4, -42, -3, -61, 0, 64, -3, 9, 1, 0, -6, 24, -32, 5, 0, -25, 48, -50, 25, 0, 18, 10, -10, -95, 0, -2, 20, -21, 28, 0, 11, -59, 10, -35, 0, 48, -20, 62, 7, 0, 3, 60, 18, -3, 0, -2, -6, 34, 6, 0, 15, -28, -70, 72, 0, -70, 16, 91, 2, 0, -15, -8, 18, -44, 0, 14, -6, -36, -18, 0, 1, -10, 13, 10, 0, 52, -12, 12, 11, 0, 60, -13, -36, -54, 0, 35, -3, 4, -7, 0, 20, 14, -33, 20, 0, -75, -19, 26, 8, 0, 34, -27, -7, 53, 0, -15, 31, 38, -3, 0, 13, -59, 12, 34, 0, 10, 6, 12, 8, 0, -3, -38, 58, 11, 0, 24, -12, 89, -2, 0, 16, 12, -23, -42, 0, -26, 20, 26, -15, 0, -8, 8, 20, -15, 0, 44, 28, 16, -8, 0, -12, 27, -39, 21, 0, 60, 4, 31, -23, 0, 16, 48, -9, 3, 0, 8, 2, 107, 14, 0, -15, 47, -10, 10, 0, 7, -10, -28, -11, 0, 39, -30, 7, -73, 0, -35, 2, -70, 19, 0, -20, -76, 42, 6, 0, -37, 19, 16, 2, 0, 21, 55, -4, 76, 0, -19, 24, -3, -12, 0, 16, 8, -80, 0, 0, 37, 25, 18, 19, 0, -4, 74, -6, -71, 0, -47, 28, 21, -24, 0, -1, 42, -2, -126, 0, 57, -12, 43, 3, 0, -35, 0, 19, -44, 0, -16, 7, 24, -47, 0, -15, 24, -5, -11, 0, 12, 5, 10, 24, 0, 58, -14, -7, -30, 0, -20, 12, 11, -21, 0, 1, -12, 52, -6, 0, -6, -21, 41, 1, 0, 61, 25, 25, 58, 0, 2, 15, 40, 2, 0, 14, 4, 21, -68, 0, 24, -5, -92, 32, 0, 11, 5, -6, 30, 0, 52, 3, 1, -7, 0, -6, -45, -59, -33, 0, -46, 72, -4, -3, 0, 80, 32, -11, 50, 0, -38, -3, 54, 80, 0, -1, 40, -61, -36, 0, 36, -19, 61, -34, 0, -10, 44, 4, 10, 0, 6, -8, 5, -53, 0, -11, 11, 6, 26, 0, 52, 20, 32, -2, 0, 26, 34, 7, -59, 0, -28, 36, 4, -34, 0, 3, 21, 54, -6, 0, -95, 39, -35, 27, 0, -2, 4, -18, 24, 0, -73, 52, 40, -4, 0, 6, 27, 28, 10, 0, 18, -18, 76, 2, 0, 24, -13, 31, 32, 0, 12, 1, -44, 6, 0, 26, -15, 8, -32, 0, -31, -7, 11, 26, 0, -2, 15, -10, -79, 0, -14, -34, -38, -3, 0, -12, 1, -10, 27, 0, -34, -41, -10, 3, 0, -13, 44, -31, 42, 0, -22, 12, 21, -16, 0, -7, -23, 26, -116, 0, 48, 2, -32, -37, 0, 63, 13, -1, -19, 0, 20, -21, -44, 50, 0, -14, -121, 8, -109, 0, 11, -8, -55, -7, 0, 67, -42, -54, -12, 0, 3, 12, 54, 11, 0, 6, -18, -6, -90, 0, -83, -2, 9, 7, 0, 18, 2, -4, 35, 0, 42, 20, 54, 7, 0, 20, 73, -88, 27, 0, -54, -12, -70, -8, 0, -55, -121, 53, -18, 0, -58, 13, -23, -18, 0, 65, -8, -34, 78, 0, 23, 16, -42, 2, 0, -1, -77, -9, -38, 0, -97, 1, -20, 10, 0, 3, 49, 2, 31, 0, -23, 15, 84, 7, 0, 7, 12, -57, -34, 0, -26, -12, -17, -25, 0, 5, -20, -10, -73, 0, 24, -52, 12, 2, 0, -6, -28, 2, 19, 0, 31, -3, 18, 50, 0, 4, -60, 2, 24, 0, -26, 55, -77, -21, 0, -2, 63, 28, 17, 0, 52, 9, -31, 42, 0, -31, 48, -28, 36, 0, -6, 25, 44, -20, 0, -33, 76, -14, -7, 0, -9, 10, -2, -12, 0, -7, 12, 6, -91, 0, 30, -36, 3, -40, 0, 4, -32, 29, 76, 0, -1, -2, -32, 7, 0, -35, -38, 58, 8, 0, -28, -30, 80, 22, 0, 7, 39, -16, 71, 0, 24, 0, -8, -11, 0, -7, -124, -48, 67, 0, 9, -3, -30, 12, 0, -31, 1, -19, 28, 0, 6, -12, 65, -60, 0, 5, -46, 1, -12, 0, 6, -26, -58, 24, 0, -48, 4, -7, 15, 0, 99, -15, -16, 12, 0, 1, -18, -23, -42, 0, -7, 66, -28, 3, 0, 28, 16, 21, -26, 0, -6, 0, -9, 8, 0, -54, -87, 36, 20, 0, -82, -6, -47, 7, 0, 16, 10, 5, 151, 0, -44, -20, 30, 41, 0, 11, -12, -20, 70, 0, 56, 54, -103, -3, 0, -52, -1, 22, 52, 0, 48, 17, -28, -34, 0, -24, -16, -42, -94, 0, -25, 40, -10, 19, 0, 4, 27, -5, -15, 0, -56, -14, -23, 86, 0, -2, -11, -51, -19, 0, 10, -24, 28, -5, 0, -22, -90, -2, 72, 0, -41, 5, 6, 9, 0, -42, 25, 19, 36, 0, -19, -21, 44, 43, 0, 30, 8, -1, 34, 0, 4, -4, -36, 42, 0, 3, -35, 61, -12, 0, -18, -64, -104, 3, 0, -9, 52, -1, 90, 0, -50, 6, 26, -24, 0, 32, 36, -5, -4, 0, 24, 25, 2, -48, 0, 50, -18, -25, 48, 0, -63, -18, -78, -10, 0, 10, 1, 95, -60, 0, 20, 2, -26, -20, 0, 21, -55, -28, 126, 0, 28, -11, 36, 59, 0, -10, -44, 35, 87, 0, -60, -48, -122, 20, 0, -62, -12, -7, -21, 0, 23, -3, 65, -60, 0, -18, -64, 3, -12, 0, 23, 2, 16, 6, 0, -34, 47, -6, 12, 0, -22, -15, -5, 28, 0, 70, -20, -72, -25, 0, -69, 70, -33, -16, 0, -91, -48, -2, -76, 0, -1, 15, 9, 8, 0, -18, 25, 44, -21, 0, 44, -14, 38, 6, 0, 36, 47, 18, 27, 0, -51, -1, -7, 10, 0, -13, 44, -10, 70, 0, -34, -52, 45, 12, 0, -12, 14, -11, -33, 0, 71, -60, -22, 13, 0, 36, -3, 54, 81, 0, 134, -35, -50, 3, 0, -4, 33, 7, -8, 0, -18, -20, -60, -14, 0, 33, 20, -20, -56, 0, -48, 75, 0, 19, 0, -26, -5, -8, -5, 0, 122, -34, 30, 27, 0, 7, -132, -53, 13, 0, 46, 15, 14, -31, 0, -38, -79, 3, 84, 0, 2, -13, 34, 59, 0, -12, 124, -34, 134, 0, -9, -10, 101, -6, 0, -12, 46, -8, -13, 0, -56, 3, -114, 38, 0, -58, -46, -11, 12, 0, 18, -24, 7, 12, 0, -89, 107, 2, 4, 0, -42, -16, 44, -12, 0, 23, 4, 42, -6, 0, -21, 26, -118, -20, 0, -26, 72, 15, 108, 0, -27, 8, 40, -8, 0, -20, 54, 15, -89, 0, 76, -44, 16, -28, 0, -16, 4, 8, -38, 0, 67, 12, 10, -27, 0, 39, -3, -21, -26, 0, 24, -60, -78, -4, 0, -31, 18, 23, 9, 0, -31, -16, -43, -48, 0, 9, -105, -3, 62, 0, 92, -8, -120, -2, 0, -107, 79, -14, 20, 0, -14, 15, -99, -47, 0, 10, 4, -10, -87, 0, 12, -7, -67, 10, 0, 28, -94, 11, 47, 0, 29, -39, -40, 30, 0, -7, -24, 73, -70, 0, 18, 35, -59, -2, 0, 70, 102, -19, 68, 0, -26, 20, -33, 76, 0, -42, 0, -6, -92, 0, -18, 37, -20, -19, 0, -16, 21, -2, 25, 0, -64, -21, 57, -55, 0, 4, 70, -76, -38, 0, 30, 19, 32, -24, 0, 3, -16, 12, 2, 0, 18, -16, -1, -8, 0, 80, -24, 0, -12, 0, 105, -37, -92, -25, 0, -18, 86, -19, -24, 0, -21, 4, 7, -74, 0, 6, 21, 71, -39, 0, -7, 47, 8, -28, 0, -21, -18, 24, -54, 0, -112, 1, 33, -42, 0, 2, -3, 126, 32, 0, 8, -57, 3, 12, 0, -43, 120, -3, 65, 0, 132, 35, -70, 0, 0, -19, -121, 44, 16, 0, -129, 16, 64, -7, 0, -24, -33, 47, 44, 0, 58, 15, 80, -24, 0, 5, 88, 11, -104, 0, 76, -12, 4, -5, 0, -10, 11, -24, -48, 0, 30, -58, 26, 14, 0, 7, -64, 30, -3, 0, 28, 20, 8, -12, 0, -11, 55, 21, 17, 0, 0, -1, 84, 12, 0, -52, 33, 6, 2, 0, -28, 6, -18, 21, 0, -41, -63, -1, -22, 0, -5, -61, 92, -25, 0, -25, 12, -58, 7, 0, 92, -2, -39, -15, 0, -40, -4, -2, -158, 0, 0, -14, -5, -4, 0, -21, 39, 68, -60, 0, 31, -24, 57, 5, 0, 92, 44, -32, 87, 0, 27, -11, -44, -5, 0, 6, -80, -30, -42, 0, 36, -52, -38, -3, 0, -1, -30, 7, 20, 0, -64, 6, -26, 45, 0, 59, 3, 33, 66, 0, 18, 46, 55, -72, 0, 4, 46, 3, -24, 0, -49, -80, -6, -32, 0, 11, 89, -50, -60, 0, 40, 38, 30, 3, 0, -54, -139, -80, -3, 0, -36, 1, 62, -40, 0, 61, -114, 36, -20, 0, -25, -36, 2, 19, 0, -61, 56, 34, -39, 0, 24, 10, 46, -44, 0, -4, 69, -10, -84, 0, 120, -6, -20, 8, 0, -5, 87, 53, -49, 0, 13, 11, -72, -11, 0, -6, 58, -26, -18, 0, -56, -52, 61, -20, 0, -32, 8, 2, 1, 0, 31, -26, 44, -34, 0, -7, 124, 59, -128, 0, 77, 28, -52, -36, 0, -4, -18, 34, 62, 0, 34, -3, -4, -21, 0, -54, 30, 6, 29, 0, -42, 95, 65, -39, 0, 35, 3, -27, -15, 0, -6, 2, 60, -4, 0, 18, 13, -24, -48, 0, 71, 73, 94, -52, 0, -40, 34, 4, 20, 0, -2, -6, 124, -27, 0, -28, -34, -10, 2, 0, -12, -18, -79, 18, 0, -76, 116, -2, -122, 0, -72, -24, 6, 13, 0, -31, 16, -32, 73, 0, 11, -12, 100, -1, 0, 44, -1, -6, 66, 0, 129, -26, 27, 15, 0, -8, 100, 32, -10, 0, 21, 31, -87, 7, 0, -11, -12, -26, 18, 0, 60, 2, -39, -15, 0, 10, 36, 79, -13, 0, 140, 14, 120, 34, 0, 38, -6, 3, 64, 0, 14, 12, 7, -1, 0, 10, -62, -27, -20, 0, -57, 34, -47, 41, 0, 10, 10, -3, 82, 0, -130, 13, 126, -44, 0, 31, -12, -42, 63, 0, 80, 22, 76, -12, 0, -21, 98, 16, 62, 0, 137, 7, 18, 23, 0, -26, 25, 116, -32, 0, -9, -48, -31, -2, 0, 32, -12, 37, -23, 0, -47, -63, 38, -13, 0, 1, 111, 19, 3, 0, -82, -20, -59, 21, 0, 44, 51, -50, -48, 0, -83, 14, 9, 121, 0, -8, 8, 109, 11, 0, -61, -11, -3, 8, 0, 55, -58, 7, -51, 0, 68, -67, 18, 42, 0, 54, 127, 12, 34, 0, 58, -3, -84, -12, 0, -54, -40, -11, -16, 0, -54, -6, -3, 18, 0, 6, -80, 90, -33, 0, -45, 83, 86, 2, 0, -9, 120, -7, -71, 0, 15, -18, 40, -2, 0, 4, -33, -35, 93, 0, 4, -42, -20, -20, 0, -54, -80, -7, -42, 0, -48, -20, -28, -73, 0, 88, -142, -27, 18, 0, -35, 54, 4, 12, 0, 70, -18, 8, 17, 0, 13, 55, -51, 121, 0, -53, -56, 18, -17, 0, -30, 58, 76, -13, 0, 23, -47, 18, 15, 0, 68, -65, -19, 8, 0, 34, 9, -78, -55, 0, 32, -23, 10, -16, 0, 42, -44, -2, -7, 0, 22, 1, -162, 77, 0, 9, -12, 38, 15, 0, -32, 97, -12, -1, 0, 20, -25, -10, 45, 0, -24, -3, 121, -49, 0, -2, 92, -31, 4, 0, 11, 23, 106, -15, 0, -84, -91, -7, -64, 0, -67, -7, -48, -12, 0, 57, -57, 34, 6, 0, -22, 26, 20, 12, 0, 17, -86, 25, 46, 0, 148, -5, 33, 20, 0, 10, 54, 73, -12, 0, -20, -24, -41, 52, 0, -12, 16, -2, -22, 0, 89, 6, 34, 28, 0, -2, -68, -19, -55, 0, -10, -31, -124, 3, 0, -18, 4, -50, -23, 0, -108, -4, 51, 60, 0, -2, 107, -24, 70, 0, 172, 26, 120, -55, 0, 77, -14, 21, -16, 0, 83, 2, -55, -63, 0, -28, -35, -17, -53, 0, 103, -52, 55, -9, 0, 31, 72, -42, 54, 0, -19, 31, 71, -48, 0, 28, 4, -36, -86, 0, -36, 6, 47, -25, 0, -44, -84, 20, 81, 0, -20, 33, -28, -76, 0, 14, -91, 7, 94, 0, -4, 9, 31, -10, 0, 2, -6, 12, 72, 0, 70, 7, 29, -12, 0, -6, -108, 91, 60, 0, -20, -30, -116, 36, 0, -3, 0, 40, -58, 0, 63, -4, -33, 32, 0, -29, -19, -76, -25, 0, -52, 1, 30, 2, 0, 32, 58, -7, 10, 0, 20, 35, 62, 38, 0, -58, 9, -8, 15, 0, -42, 28, -97, 30, 0, -80, 24, -22, 38, 0, 79, -7, 30, -39, 0, 16, -30, -71, -100, 0, -24, -24, 36, 0, 0, 8, -29, 11, 64, 0, 70, 7, 10, 124, 0, 48, -14, -67, 142, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [-0.7071067811865476, 0.0], [0.9015629368289955, 0.0], [0.5, 0.0], [0.0, 0.0], [-0.6375012662982417, 0.0], [-0.9681759589785932, 0.0], [-0.3535533905932738, 0.0], [-0.18718427093627676, 0.0], [0.0, 0.0], [-0.30151134457776363, 0.0], [0.45078146841449773, 0.0], [0.15574672772794376, 0.0], [0.6846037859755519, 0.0], [0.0, 0.0], [0.25, 0.0], [-1.3488746876271653, 0.0], [0.13235926731050127, 0.0], [0.6882472016116853, 0.0], [0.0, 0.0], [-0.8728715609439696, 0.0], [0.21320071635561044, 0.0], [-0.20851441405707477, 0.0], [-0.31875063314912083, 0.0], [0.0, 0.0], [-0.11012956732404391, 0.0], [-1.0703213378624996, 0.0], [-0.4840879794892966, 0.0], [0.2671129368752933, 0.0], [0.0, 0.0], [-0.9201369332041295, 0.0], [-0.1767766952966369, 0.0], [-0.2718314533047878, 0.0], [0.9537984385920547, 0.0], [0.0, 0.0], [-0.09359213546813838, 0.0], [-0.5134354020992077, 0.0], [-0.48666426339228763, 0.0], [0.14041547725191092, 0.0], [0.0, 0.0], [-0.2931216551148517, 0.0], [0.6172133998483676, 0.0], [-1.1718994253544261, 0.0], [-0.15075567228888181, 0.0], [0.0, 0.0], [0.14744195615489714, 0.0], [-0.8751899489873673, 0.0], [0.22539073420724887, 0.0], [-0.06263531245588139, 0.0], [0.0, 0.0], [-1.216095424791441, 0.0], [0.07787336386397188, 0.0], [-1.2531549336982992, 0.0], [0.7568314760512312, 0.0], [0.0, 0.0], [0.34230189298777597, 0.0], [0.6204981683493688, 0.0], [-0.18887736900717408, 0.0], [0.5207556439232954, 0.0], [0.0, 0.0], [0.2875978802783368, 0.0], [0.6506350650888333, 0.0], [0.18122731101943856, 0.0], [0.125, 0.0], [0.0, 0.0], [0.19221386397160978, 0.0], [0.6794518168991012, 0.0], [-0.6744373438135827, 0.0], [-0.1879888675084735, 0.0], [0.0, 0.0], [0.13328811566973722, 0.0], [0.06617963365525063, 0.0], [0.7166553068253717, 0.0], [0.3630536545255915, 0.0], [0.0, 0.0], [0.34412360080584264, 0.0], [0.2919160351795014, 0.0], [-0.09928873614837161, 0.0], [1.7923628739067625, 0.0], [0.0, 0.0], [-0.7777777777777778, 0.0], [0.2072683100443361, 0.0], [-0.6720981578346324, 0.0], [-0.4364357804719848, 0.0], [0.0, 0.0], [0.828658030536733, 0.0], [0.24081912383430748, 0.0], [0.10660035817780522, 0.0], [-0.8944736128968271, 0.0], [0.0, 0.0], [-0.1507902374757798, 0.0], [-0.10425720702853739, 0.0], [-0.8295613557843402, 0.0], [0.618852747755276, 0.0], [0.0, 0.0], [-0.15937531657456042, 0.0], [-0.8372758970823486, 0.0], [0.04428985417929195, 0.0], [0.05643818121380521, 0.0], [0.0, 0.0]], 'angles': [None, -0.1755726855183214, None, -0.3304242682618226, -0.2740853372260552, -0.2375935082262538, -0.3678068665289895, -0.1940880380884006, None, -0.22868012295614254, -0.32608757115332626, -0.2913205302146596, -0.2734102047712792, -0.34963919785309533, -0.32208480957574004, -0.35777239782319137, -0.2080764390627594, -0.22703407038797072, -0.19483284495285746, -0.23938540152406046, -0.19167353621468158, -0.07316503561170358, -0.30454540143466746, -0.32379593902293957, -0.31874618143109956, -0.1543136962390025, -0.2048223167755036, -0.38840759515588624, -0.3240579954972208, -0.1810022718552393, -0.09985702002166633, -0.25781177062647376, -0.18119616169516423, -0.31645131577895763, -0.38195183985072756, -0.271888370685117, -0.21152036455343876, -0.1590695380298339, -0.31322907532697924, -0.1530321898648015, -0.21517886403580785, -0.28197386750098014, -0.341665656582317, -0.17295664873811492, -0.3183277197079966, -0.2630757722083688, -0.13881307022007025, -0.14960101864067252, -0.41826764084783824, -0.1964066104884354, -0.12427859957576934, -0.2512673707234251, -0.25674450607834115, -0.24656077142220395, -0.3478421573485021, -0.12970872368377345, -0.43589138832280316, -0.14459114380855168, -0.058623162943900305, -0.2128549599703983, -0.35835442965521086, -0.1905502951344468, -0.24514354925968893, -0.12223569563404743, -0.3092813603534412, -0.3115890468850326, -0.09338991852988325, -0.1340828384290877, -0.37557235382112786, -0.15472787067168084, -0.41566418553460394, -0.30769608153628886, -0.17885936942596325, -0.32020996868309226, -0.28213303419086494, -0.23857320229986595, -0.3484644092422877, -0.2223963339774736, -0.23681003987005397, -0.3786338938950165, -0.16821725776114196, -0.3938722113918252, -0.24327553090516188, -0.369012309061764, -0.05831487740848233, -0.18048215401131473, -0.4222593801732671, -0.324026672078277, -0.1151907268809429, -0.36954361806552605, -0.22155070417924597, -0.14908911016577364, -0.2052529712143896, -0.28713299854852287, -0.33967453837817396, -0.3135501300783243, -0.3439818782739775, -0.35042261416195003, -0.08676757641907538, -0.23738044888542473], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.5615528128088303, 'hecke_orbit': 11, 'hecke_orbit_code': 45035996307260542, 'label': '1150.2.a.k.1.2', 'level': 1150, '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

  
  {'ALdims': [4, 5, 5, 3, 4, 3, 4, 6], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [2, 3, 3, 3, 3, 3, 3, 3], 'ALdims_old': [12, 22, 21, 13, 14, 21, 21, 11], 'Nk2': 4600, 'analytic_conductor': 9.182796232447243, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1150, 1, [277, 51], [1, 1]], 'conrey_index': 1, 'cusp_dim': 169, 'dim': 34, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 11], 'hecke_orbit_code': 33555582, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 4, 4], 'label': '1150.2.a', 'level': 1150, '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, 23], 'level_radical': 230, 'mf_dim': 192, 'mf_new_dim': 34, 'num_forms': 19, 'plus_dim': 14, 'prim_orbit_index': 1, 'relative_dim': 34, 'sturm_bound': 360, 'trace_bound': 9, 'trace_display': [0, -4, 0, -4], 'traces': [34, 0, -4, 34, 0, 0, -4, 0, 38, 0, 6, -4, -4, -4, 0, 34, 8, 0, -30, 0, 0, -6, 0, 0, 0, -8, 8, -4, 0, 0, -24, 0, 24, -16, 0, 38, -6, 6, 8, 0, 4, 32, -34, 6, 0, 2, 24, -4, 2, 0, 12, -4, 26, -12, 0, -4, 48, 28, -16, 0, -46, 0, 4, 34, 0, -28, -14, 8, 4, 0, 32, 0, -8, -10, 0, -30, 16, -16, -4, 0, 34, -4, -22, 0, 0, -34, -16, -6, -24, 0, -48, 0, -40, 0, 0, 0, -16, -16, 34, 0, 36, -16, -24, -8, 0, 30, -38, 8, -14, 0, -16, -4, 4, -12, 0, 0, 20, -24, 56, 0, 42, 6, 32, -24, 0, 12, -40, 0, 48, 0, 0, 24, -64, -26, 0, -16, 8, -4, -4, 0, 88, -40, 20, 38, 0, 24, 20, -6, -2, 0, -40, 6, 40, -48, 0, 8, -14, -4, -24, 0, 12, 32, -44, 4, 0, -58, -56, 32, -18, 0, -50, -34, 48, 32, 0, 6, -48, 0, 72, 0, -14, 0, 80, 2, 0, 32, 44, 24, 80, 0, 20, -4, -12, 12, 0, 2, 16, -94, -100, 0, 44, 24, 88, 12, 0, -16, 16, -4, 48, 0, -20, 26, 96, -58, 0, -12, 8, 46, -148, 0, -88, 8, 48, -4, 0, -68, 102, 48, -62, 0, 16, 28, -36, 40, 0, -16, -96, 16, -24, 0, -68, -60, -20, -46, 0, 12, -28, 0, -20, 0, 26, 4, -10, 24, 0, 34, -16, -32, -8, 0, -192, 16, 32, -28, 0, 56, -8, -14, 24, 0, 32, 8, -120, -32, 0, 4, 8, -48, -48, 0, 52, -8, 22, 32, 0, 52, -40, 0, 50, 0, -96, -8, -14, -32, 0, -10, 72, 58, 0, 0, 88, -24, -40, -30, 0, -92, 44, 16, -24, 0, 40, -16, -8, -2, 0, -4, 0, 8, 44, 0, -44, -4, -116, 34, 0, -32, -40, -4, -48, 0, 28, -22, -62, 32, 0, 0, 4, -48, 148, 0, -48, -42, 40, -34, 0, -84, -36, -16, 16, 0, -160, -6, -4, 32, 0, -24, -8, 28, 12, 0, 74, 14, -148, -48, 0, 56, -20, 0, -184, 0, -72, -40, -22, -32, 0, 0, -104, 72, 2, 0, -80, 60, 72, 0, 0, 44, -170, -16, -270, 0, 20, -16, -136, 28, 0, 34, 52, 12, -144, 0, -92, -96, 136, 36, 0, -64, 32, -16, -40, 0, 44, -24, 96, 10, 0, -8, 88, 60, 162, 0, -98, -80, 112, 30, 0, 40, 16, -38, 40, 0, 108, 8, 80, 112, 0, -14, 2, -40, 112, 0, -58, 104, -4, -16, 0, -8, 56, -4, 124, 0, 72, 4, -48, -34, 0, -12, 48, 6, -164, 0, 176, 176, -104, 0, 0, -40, -38, 20, -56, 0, 64, -24, 4, -8, 0, 56, -62, -32, 64, 0, -124, -4, -32, 42, 0, 44, 120, 6, -36, 0, -12, 32, 88, 124, 0, -24, 32, 16, -124, 0, 88, 94, -180, 12, 0, 14, 92, -40, 128, 0, -112, 0, 216, -36, 0, 48, 128, 96, 248, 0, 20, 100, 82, 0, 0, 120, 16, 24, 34, 0, 272, -64, 104, -28, 0, -26, 40, 4, 110, 0, -56, 32, -104, -16, 0, 144, 56, 8, -38, 0, -44, -4, -24, 20, 0, -4, -10, 16, 4, 0, 132, -96, -50, 88, 0, 122, -44, -40, 172, 0, -18, 20, -48, 80, 0, 38, -56, -16, -228, 0, 184, 112, 40, 24, 0, 6, 88, 20, 112, 0, 104, -6, -48, -68, 0, -2, -192, 4, 48, 0, 20, -136, -134, -40, 0, 40, -16, 6, -160, 0, 200, 40, 30, -40, 0, -48, -156, -56, 42, 0, 40, 48, 32, 8, 0, 52, 40, -14, 36, 0, 112, -4, 24, -44, 0, -24, 52, -12, 112, 0, -88, -112, 102, 12, 0, 64, 8, 32, 56, 0, -176, -44, -60, 48, 0, 4, -96, -48, 10, 0, 74, -48, 72, -58, 0, -202, 4, -56, 352, 0, 120, 32, -56, -76, 0, -18, 98, 56, -192, 0, 96, 32, 32, -50, 0, -176, 56, -34, 228, 0, 116, 48, -96, 184, 0, 32, -144, 12, -40, 0, 186, -104, 40, 6, 0, -120, -8, -48, 78, 0, -124, 0, -24, -136, 0, 72, 128, -92, 144, 0, -72, 20, -136, -14, 0, -180, -36, 0, 98, 0, 44, 80, -38, -100, 0, 2, -108, -148, -84, 0, -104, 16, 40, 32, 0, -34, 162, 44, 24, 0, 184, 24, 176, -72, 0, 80, -34, 70, -8, 0, -40, -160, -88, 20, 0, 24, 152, -4, -164, 0, -320, -12, -10, -218, 0, 12, 152, 22, 64, 0, 16, -16, -176, 2, 0, 112, -2, 16, -208, 0, 192, -94, -124, -168, 0, -100, 14, 24, 280, 0, 164, -76, 244, 44, 0, -40, -104, 24, 44, 0, -192, 88, 72, 48, 0, 12, 20, -104, -480, 0, -164, 56, -144, -16, 0, 64, -166, 16, 128, 0, -256, -4, 48, 132, 0, 48, 48, -2, -96, 0, 166, 90, 120, -20, 0, -184, -92, 26, -340, 0, -54, 96, -140, 216, 0, -58, 28, 8, -24, 0, 0, -100, 16, -12, 0, -8, -108, 8, -192, 0, -68, 46, 160, 18, 0, -148, 104, 72, 136, 0, -268, -272, -8, -88, 0, 112, 16, 8, -192, 0, -250, 48, 144, 32, 0, -4, 40, -52, 208, 0, -164, 180, 152, -68, 0, -40, 62, 102, -108, 0, -20, 48, -4, -16, 0, -62, 112, 24, 124, 0, -388, 116, -32, 16, 0, 112, 24, 28, -112, 0, -70, -36, 48, -54, 0, 40, -116, 80, -144, 0, 54, 72, 4, -16, 0, 100, 12, -96, -72, 0, 0, 16, 32, 294, 0, -24, -128, -56, -48, 0, 186, 92, -30, -68, 0, -8, 40, -60, 140, 0, 382, -20, 128, 64, 0, -46, 48, 0, -80, 0, -62, -20, 28, 12, 0, 80, -160, -28, 10, 0, 32, 0, -48, 96, 0, -20, 0, 84, 280, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 47043241
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45035996307260542, 'source_is_minimal': True, 'source_label': '1150.2.a.k.1.2', 'source_level': 1150, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45035996307260542, 'target_is_minimal': True, 'target_label': '1150.2.a.k.1.2', 'target_level': 1150, 'twist_class_label': '1150.2.a.k.1.2', 'twist_class_level': 1150, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47043242
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45035996307260542, 'source_is_minimal': True, 'source_label': '1150.2.a.k.1.2', 'source_level': 1150, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 216172782147347440, 'target_is_minimal': False, 'target_label': '9200.2.a.bw.1.1', 'target_level': 9200, 'twist_class_label': '1150.2.a.k.1.2', 'twist_class_level': 1150, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47043243
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45035996307260542, 'source_is_minimal': True, 'source_label': '1150.2.a.k.1.2', 'source_level': 1150, 'target_conrey_index': 599, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525266144625790, 'target_is_minimal': False, 'target_label': '1150.2.b.h.599.1', 'target_level': 1150, 'twist_class_label': '1150.2.a.k.1.2', 'twist_class_level': 1150, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47043244
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45035996307260542, 'source_is_minimal': True, 'source_label': '1150.2.a.k.1.2', 'source_level': 1150, 'target_conrey_index': 599, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 31525266144625790, 'target_is_minimal': False, 'target_label': '1150.2.b.h.599.4', 'target_level': 1150, 'twist_class_label': '1150.2.a.k.1.2', 'twist_class_level': 1150, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47043245
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45035996307260542, 'source_is_minimal': True, 'source_label': '1150.2.a.k.1.2', 'source_level': 1150, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444113022, 'target_is_minimal': True, 'target_label': '1150.2.a.p.1.1', 'target_level': 1150, 'twist_class_label': '1150.2.a.k.1.2', 'twist_class_level': 1150, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 47043246
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45035996307260542, 'source_is_minimal': True, 'source_label': '1150.2.a.k.1.2', 'source_level': 1150, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 184647584755753968, 'target_is_minimal': False, 'target_label': '9200.2.a.bp.1.2', 'target_level': 9200, 'twist_class_label': '1150.2.a.k.1.2', 'twist_class_level': 1150, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1720400
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 45035996307260542, 'p': 2}
  • id: 1720401
    {'charpoly_factorization': [[[-4, 1, 1], 1]], 'hecke_orbit_code': 45035996307260542, 'p': 3}
  • id: 1720402
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996307260542, 'p': 5}
  • id: 1720403
    {'charpoly_factorization': [[[-4, 1, 1], 1]], 'hecke_orbit_code': 45035996307260542, 'p': 7}
  • id: 1720404
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 45035996307260542, 'p': 11}
  • id: 1720405
    {'charpoly_factorization': [[[-2, 3, 1], 1]], 'hecke_orbit_code': 45035996307260542, 'p': 13}
  • id: 1720406
    {'charpoly_factorization': [[[8, 7, 1], 1]], 'hecke_orbit_code': 45035996307260542, 'p': 17}
  • id: 1720407
    {'charpoly_factorization': [[[-3, 1], 2]], 'hecke_orbit_code': 45035996307260542, 'p': 19}
  • id: 1720408
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 45035996307260542, 'p': 23}
  • id: 1720409
    {'charpoly_factorization': [[[8, -7, 1], 1]], 'hecke_orbit_code': 45035996307260542, 'p': 29}
  • id: 1720410
    {'charpoly_factorization': [[[-16, 2, 1], 1]], 'hecke_orbit_code': 45035996307260542, 'p': 31}
  • id: 1720411
    {'charpoly_factorization': [[[-16, -2, 1], 1]], 'hecke_orbit_code': 45035996307260542, 'p': 37}
  • id: 1720412
    {'charpoly_factorization': [[[19, 12, 1], 1]], 'hecke_orbit_code': 45035996307260542, 'p': 41}
  • id: 1720413
    {'charpoly_factorization': [[[-36, 3, 1], 1]], 'hecke_orbit_code': 45035996307260542, 'p': 43}
  • id: 1720414
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 45035996307260542, 'p': 47}
  • id: 1720415
    {'charpoly_factorization': [[[8, 10, 1], 1]], 'hecke_orbit_code': 45035996307260542, 'p': 53}
  • id: 1720416
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 45035996307260542, 'p': 59}
  • id: 1720417
    {'charpoly_factorization': [[[-32, 12, 1], 1]], 'hecke_orbit_code': 45035996307260542, 'p': 61}
  • id: 1720418
    {'charpoly_factorization': [[[8, -7, 1], 1]], 'hecke_orbit_code': 45035996307260542, 'p': 67}
  • id: 1720419
    {'charpoly_factorization': [[[-8, 6, 1], 1]], 'hecke_orbit_code': 45035996307260542, 'p': 71}
  • id: 1720420
    {'charpoly_factorization': [[[-13, -4, 1], 1]], 'hecke_orbit_code': 45035996307260542, 'p': 73}
  • id: 1720421
    {'charpoly_factorization': [[[-206, -3, 1], 1]], 'hecke_orbit_code': 45035996307260542, 'p': 79}
  • id: 1720422
    {'charpoly_factorization': [[[-13, 4, 1], 1]], 'hecke_orbit_code': 45035996307260542, 'p': 83}
  • id: 1720423
    {'charpoly_factorization': [[[106, 21, 1], 1]], 'hecke_orbit_code': 45035996307260542, 'p': 89}
  • id: 1720424
    {'charpoly_factorization': [[[-68, 0, 1], 1]], 'hecke_orbit_code': 45035996307260542, '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': 1, 'hecke_orbit': 11, 'label': '1150.2.a.k', 'level': 1150, '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

  
  Showing the first 100 of 258 matching records in this table.
  • id: 54134311
    {'hecke_orbit_code': 45035996307260542, 'n': 1, 'trace_an': 2}
  • id: 54134312
    {'hecke_orbit_code': 45035996307260542, 'n': 2, 'trace_an': -2}
  • id: 54134313
    {'hecke_orbit_code': 45035996307260542, 'n': 3, 'trace_an': -1}
  • id: 54134314
    {'hecke_orbit_code': 45035996307260542, 'n': 4, 'trace_an': 2}
  • id: 54134315
    {'hecke_orbit_code': 45035996307260542, 'n': 5, 'trace_an': 0}
  • id: 54134316
    {'hecke_orbit_code': 45035996307260542, 'n': 6, 'trace_an': 1}
  • id: 54134317
    {'hecke_orbit_code': 45035996307260542, 'n': 7, 'trace_an': -1}
  • id: 54134318
    {'hecke_orbit_code': 45035996307260542, 'n': 8, 'trace_an': -2}
  • id: 54134319
    {'hecke_orbit_code': 45035996307260542, 'n': 9, 'trace_an': 3}
  • id: 54134320
    {'hecke_orbit_code': 45035996307260542, 'n': 10, 'trace_an': 0}
  • id: 54134321
    {'hecke_orbit_code': 45035996307260542, 'n': 11, 'trace_an': -2}
  • id: 54134322
    {'hecke_orbit_code': 45035996307260542, 'n': 12, 'trace_an': -1}
  • id: 54134323
    {'hecke_orbit_code': 45035996307260542, 'n': 13, 'trace_an': -3}
  • id: 54134324
    {'hecke_orbit_code': 45035996307260542, 'n': 14, 'trace_an': 1}
  • id: 54134325
    {'hecke_orbit_code': 45035996307260542, 'n': 15, 'trace_an': 0}
  • id: 54134326
    {'hecke_orbit_code': 45035996307260542, 'n': 16, 'trace_an': 2}
  • id: 54134327
    {'hecke_orbit_code': 45035996307260542, 'n': 17, 'trace_an': -7}
  • id: 54134328
    {'hecke_orbit_code': 45035996307260542, 'n': 18, 'trace_an': -3}
  • id: 54134329
    {'hecke_orbit_code': 45035996307260542, 'n': 19, 'trace_an': 6}
  • id: 54134330
    {'hecke_orbit_code': 45035996307260542, 'n': 20, 'trace_an': 0}
  • id: 54134331
    {'hecke_orbit_code': 45035996307260542, 'n': 21, 'trace_an': -8}
  • id: 54134332
    {'hecke_orbit_code': 45035996307260542, 'n': 22, 'trace_an': 2}
  • id: 54134333
    {'hecke_orbit_code': 45035996307260542, 'n': 23, 'trace_an': -2}
  • id: 54134334
    {'hecke_orbit_code': 45035996307260542, 'n': 24, 'trace_an': 1}
  • id: 54134335
    {'hecke_orbit_code': 45035996307260542, 'n': 25, 'trace_an': 0}
  • id: 54134336
    {'hecke_orbit_code': 45035996307260542, 'n': 26, 'trace_an': 3}
  • id: 54134337
    {'hecke_orbit_code': 45035996307260542, 'n': 27, 'trace_an': -7}
  • id: 54134338
    {'hecke_orbit_code': 45035996307260542, 'n': 28, 'trace_an': -1}
  • id: 54134339
    {'hecke_orbit_code': 45035996307260542, 'n': 29, 'trace_an': 7}
  • id: 54134340
    {'hecke_orbit_code': 45035996307260542, 'n': 30, 'trace_an': 0}
  • id: 54134341
    {'hecke_orbit_code': 45035996307260542, 'n': 31, 'trace_an': -2}
  • id: 54134342
    {'hecke_orbit_code': 45035996307260542, 'n': 32, 'trace_an': -2}
  • id: 54134343
    {'hecke_orbit_code': 45035996307260542, 'n': 33, 'trace_an': 1}
  • id: 54134344
    {'hecke_orbit_code': 45035996307260542, 'n': 34, 'trace_an': 7}
  • id: 54134345
    {'hecke_orbit_code': 45035996307260542, 'n': 35, 'trace_an': 0}
  • id: 54134346
    {'hecke_orbit_code': 45035996307260542, 'n': 36, 'trace_an': 3}
  • id: 54134347
    {'hecke_orbit_code': 45035996307260542, 'n': 37, 'trace_an': 2}
  • id: 54134348
    {'hecke_orbit_code': 45035996307260542, 'n': 38, 'trace_an': -6}
  • id: 54134349
    {'hecke_orbit_code': 45035996307260542, 'n': 39, 'trace_an': 10}
  • id: 54134350
    {'hecke_orbit_code': 45035996307260542, 'n': 40, 'trace_an': 0}
  • id: 54134351
    {'hecke_orbit_code': 45035996307260542, 'n': 41, 'trace_an': -12}
  • id: 54134352
    {'hecke_orbit_code': 45035996307260542, 'n': 42, 'trace_an': 8}
  • id: 54134353
    {'hecke_orbit_code': 45035996307260542, 'n': 43, 'trace_an': -3}
  • id: 54134354
    {'hecke_orbit_code': 45035996307260542, 'n': 44, 'trace_an': -2}
  • id: 54134355
    {'hecke_orbit_code': 45035996307260542, 'n': 45, 'trace_an': 0}
  • id: 54134356
    {'hecke_orbit_code': 45035996307260542, 'n': 46, 'trace_an': 2}
  • id: 54134357
    {'hecke_orbit_code': 45035996307260542, 'n': 47, 'trace_an': -12}
  • id: 54134358
    {'hecke_orbit_code': 45035996307260542, 'n': 48, 'trace_an': -1}
  • id: 54134359
    {'hecke_orbit_code': 45035996307260542, 'n': 49, 'trace_an': -5}
  • id: 54134360
    {'hecke_orbit_code': 45035996307260542, 'n': 50, 'trace_an': 0}
  • id: 54134361
    {'hecke_orbit_code': 45035996307260542, 'n': 51, 'trace_an': -5}
  • id: 54134362
    {'hecke_orbit_code': 45035996307260542, 'n': 52, 'trace_an': -3}
  • id: 54134363
    {'hecke_orbit_code': 45035996307260542, 'n': 53, 'trace_an': -10}
  • id: 54134364
    {'hecke_orbit_code': 45035996307260542, 'n': 54, 'trace_an': 7}
  • id: 54134365
    {'hecke_orbit_code': 45035996307260542, 'n': 55, 'trace_an': 0}
  • id: 54134366
    {'hecke_orbit_code': 45035996307260542, 'n': 56, 'trace_an': 1}
  • id: 54134367
    {'hecke_orbit_code': 45035996307260542, 'n': 57, 'trace_an': -3}
  • id: 54134368
    {'hecke_orbit_code': 45035996307260542, 'n': 58, 'trace_an': -7}
  • id: 54134369
    {'hecke_orbit_code': 45035996307260542, 'n': 59, 'trace_an': 8}
  • id: 54134370
    {'hecke_orbit_code': 45035996307260542, 'n': 60, 'trace_an': 0}
  • id: 54134371
    {'hecke_orbit_code': 45035996307260542, 'n': 61, 'trace_an': -12}
  • id: 54134372
    {'hecke_orbit_code': 45035996307260542, 'n': 62, 'trace_an': 2}
  • id: 54134373
    {'hecke_orbit_code': 45035996307260542, 'n': 63, 'trace_an': 7}
  • id: 54134374
    {'hecke_orbit_code': 45035996307260542, 'n': 64, 'trace_an': 2}
  • id: 54134375
    {'hecke_orbit_code': 45035996307260542, 'n': 65, 'trace_an': 0}
  • id: 54134376
    {'hecke_orbit_code': 45035996307260542, 'n': 66, 'trace_an': -1}
  • id: 54134377
    {'hecke_orbit_code': 45035996307260542, 'n': 67, 'trace_an': 7}
  • id: 54134378
    {'hecke_orbit_code': 45035996307260542, 'n': 68, 'trace_an': -7}
  • id: 54134379
    {'hecke_orbit_code': 45035996307260542, 'n': 69, 'trace_an': 1}
  • id: 54134380
    {'hecke_orbit_code': 45035996307260542, 'n': 70, 'trace_an': 0}
  • id: 54134381
    {'hecke_orbit_code': 45035996307260542, 'n': 71, 'trace_an': -6}
  • id: 54134382
    {'hecke_orbit_code': 45035996307260542, 'n': 72, 'trace_an': -3}
  • id: 54134383
    {'hecke_orbit_code': 45035996307260542, 'n': 73, 'trace_an': 4}
  • id: 54134384
    {'hecke_orbit_code': 45035996307260542, 'n': 74, 'trace_an': -2}
  • id: 54134385
    {'hecke_orbit_code': 45035996307260542, 'n': 75, 'trace_an': 0}
  • id: 54134386
    {'hecke_orbit_code': 45035996307260542, 'n': 76, 'trace_an': 6}
  • id: 54134387
    {'hecke_orbit_code': 45035996307260542, 'n': 77, 'trace_an': 1}
  • id: 54134388
    {'hecke_orbit_code': 45035996307260542, 'n': 78, 'trace_an': -10}
  • id: 54134389
    {'hecke_orbit_code': 45035996307260542, 'n': 79, 'trace_an': 3}
  • id: 54134390
    {'hecke_orbit_code': 45035996307260542, 'n': 80, 'trace_an': 0}
  • id: 54134391
    {'hecke_orbit_code': 45035996307260542, 'n': 81, 'trace_an': -14}
  • id: 54134392
    {'hecke_orbit_code': 45035996307260542, 'n': 82, 'trace_an': 12}
  • id: 54134393
    {'hecke_orbit_code': 45035996307260542, 'n': 83, 'trace_an': -4}
  • id: 54134394
    {'hecke_orbit_code': 45035996307260542, 'n': 84, 'trace_an': -8}
  • id: 54134395
    {'hecke_orbit_code': 45035996307260542, 'n': 85, 'trace_an': 0}
  • id: 54134396
    {'hecke_orbit_code': 45035996307260542, 'n': 86, 'trace_an': 3}
  • id: 54134397
    {'hecke_orbit_code': 45035996307260542, 'n': 87, 'trace_an': -12}
  • id: 54134398
    {'hecke_orbit_code': 45035996307260542, 'n': 88, 'trace_an': 2}
  • id: 54134399
    {'hecke_orbit_code': 45035996307260542, 'n': 89, 'trace_an': -21}
  • id: 54134400
    {'hecke_orbit_code': 45035996307260542, 'n': 90, 'trace_an': 0}
  • id: 54134401
    {'hecke_orbit_code': 45035996307260542, 'n': 91, 'trace_an': -7}
  • id: 54134402
    {'hecke_orbit_code': 45035996307260542, 'n': 92, 'trace_an': -2}
  • id: 54134403
    {'hecke_orbit_code': 45035996307260542, 'n': 93, 'trace_an': -16}
  • id: 54134404
    {'hecke_orbit_code': 45035996307260542, 'n': 94, 'trace_an': 12}
  • id: 54134405
    {'hecke_orbit_code': 45035996307260542, 'n': 95, 'trace_an': 0}
  • id: 54134406
    {'hecke_orbit_code': 45035996307260542, 'n': 96, 'trace_an': 1}
  • id: 54134407
    {'hecke_orbit_code': 45035996307260542, 'n': 97, 'trace_an': 0}
  • id: 54134408
    {'hecke_orbit_code': 45035996307260542, 'n': 98, 'trace_an': 5}
  • id: 54134409
    {'hecke_orbit_code': 45035996307260542, 'n': 99, 'trace_an': -3}
  • id: 54134410
    {'hecke_orbit_code': 45035996307260542, 'n': 100, 'trace_an': 0}