Embedded newform data - 8325.2.a.b.1.1

Formats: - HTML - YAML - JSON - 2026-10-12T10:30:09.999724

• 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': 33300, 'analytic_conductor': 66.47545968271592, 'analytic_rank': 2, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, 1], [37, -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': [8325, 1, [3701, 7327, 5626], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 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': [[2, [2, 1]], [7, [1, 1]], [11, [6, 1]], [13, [7, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660933253, 'hecke_ring_generator_nbound': 1, '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': '8325.2.a.b', 'level': 8325, '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': [3, 5, 37], 'level_radical': 555, 'minimal_twist': '8325.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2q^{2}+2q^{4}-q^{7}-6q^{11}-7q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/8325/b'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '8325.2.a', 'trace_display': [-2, 0, 0, -1], 'trace_hash': 1393139787952903546, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '0.990', 'prec': 10}, 0, {'__RealLiteral__': 0, 'data': '1.961', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '4.827', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.015', 'prec': 7}, 'traces': [1, -2, 0, 2, 0, 0, -1, 0, 0, 0, -6, 0, -7, 2, 0, -4, -4, 0, 5, 0, 0, 12, -2, 0, 0, 14, 0, -2, -8, 0, 3, 8, 0, 8, 0, 0, 1, -10, 0, 0, 2, 0, -11, -12, 0, 4, -4, 0, -6, 0, 0, -14, 0, 0, 0, 0, 0, 16, -6, 0, 5, -6, 0, -8, 0, 0, -13, -8, 0, 0, -6, 0, -2, -2, 0, 10, 6, 0, 0, 0, 0, -4, -6, 0, 0, 22, 0, 0, -14, 0, 7, -4, 0, 8, 0, 0, -11, 12, 0, 0, -10, 0, 4, 0, 0, 0, -18, 0, 11, 0, 0, 4, -10, 0, 0, -16, 0, 12, 4, 0, 25, -10, 0, 6, 0, 0, 8, 0, 0, 0, 6, 0, -5, 26, 0, 0, -18, 0, 20, 0, 0, 12, 42, 0, 0, 4, 0, 2, 18, 0, -5, 0, 0, -12, 0, 0, 9, 0, 0, 0, 2, 0, 11, 4, 0, 12, -18, 0, 36, 0, 0, -22, -10, 0, 0, 24, 0, 28, -14, 0, 13, -14, 0, 0, 0, 0, 24, -8, 0, 0, 20, 0, -5, 22, 0, -12, -2, 0, -23, 0, 0, 20, 8, 0, 0, -8, 0, 28, -30, 0, -25, 0, 0, 36, 0, 0, -3, -22, 0, 0, 28, 0, -1, -8, 0, 20, -14, 0, -27, 0, 0, 0, -8, 0, 0, -12, 0, -8, -18, 0, 7, -50, 0, 10, 0, 0, -35, 0, 0, 0, 20, 0, 12, -16, 0, 16, 6, 0, -1, 0, 0, -12, 10, 0, 0, 10, 0, -26, -12, 0, 0, 16, 0, 36, 0, 0, 13, -40, 0, 0, -2, 0, -5, -12, 0, -84, -2, 0, -1, 0, 0, -4, 28, 0, 0, 0, 0, -36, 14, 0, 11, 10, 0, -20, 0, 0, -7, 12, 0, 0, 18, 0, -1, -18, 0, 0, 28, 0, 48, 0, 0, -4, -20, 0, 0, -22, 0, 0, 4, 0, 4, -12, 0, 36, 0, 0, -29, -72, 0, 0, -18, 0, 13, 0, 0, 20, 8, 0, -22, 0, 0, -48, -32, 0, 0, -28, 0, 28, 0, 0, 6, -26, 0, 14, 0, 0, 5, 8, 0, 0, 0, 0, 9, -48, 0, 0, 56, 0, -11, 0, 0, -40, 12, 0, 0, 10, 0, -22, 6, 0, 8, 0, 0, 4, 0, 0, 21, 46, 0, 0, 18, 0, -21, -20, 0, -16, -6, 0, -25, 0, 0, 8, 6, 0, 0, -56, 0, 60, 24, 0, -22, 50, 0, 0, 0, 0, -5, -36, 0, 0, 30, 0, 29, 6, 0, 22, -10, 0, -29, 0, 0, -56, 18, 0, 0, 2, 0, 8, -8, 0, -12, -20, 0, 28, 0, 0, 18, 54, 0, 0, 24, 0, -16, 32, 0, 16, -4, 0, 13, 0, 0, 0, 66, 0, 0, 8, 0, 36, -12, 0, -7, -14, 0, 50, 0, 0, -33, 0, 0, 0, -8, 0, 32, 70, 0, -12, 6, 0, 17, 0, 0, -40, -36, 0, 0, -24, 0, 16, -36, 0, 2, -32, 0, -12, 0, 0, 24, 2, 0, 0, -36, 0, -1, 12, 0, -20, -12, 0, -19, 0, 0, -10, -14, 0, 0, 0, 0, 24, 36, 0, -5, 0, 0, -32, 0, 0, 36, -36, 0, 0, -40, 0, 0, -26, 0, 40, 18, 0, 77, 0, 0, 4, 6, 0, 0, 10, 0, 0, 12, 0, -37, 84, 0, 4, 0, 0, 35, 2, 0, 0, 6, 0, 0, 0, 0, -56, -12, 0, 15, 0, 0, -4, 28, 0, 0, 36, 0, -28, -42, 0, 19, -22, 0, -10, 0, 0, -16, 40, 0, 0, 28, 0, 46, 14, 0, 0, -28, 0, -9, 0, 0, -36, 14, 0, 0, 2, 0, 18, -4, 0, -13, 0, 0, -56, 0, 0, 42, -96, 0, 0, -6, 0, -8, 4, 0, 40, 32, 0, 36, 0, 0, 22, -4, 0, 0, -8, 0, -8, 16, 0, 30, -8, 0, 0, 0, 0, 16, -36, 0, 0, -30, 0, -38, 58, 0, 72, 8, 0, 11, 0, 0, 36, 46, 0, 0, -26, 0, 44, 0, 0, 4, -20, 0, -16, 0, 0, -8, 44, 0, 0, 0, 0, 5, 48, 0, 64, 10, 0, -25, 0, 0, 0, -6, 0, 0, -28, 0, 0, -24, 0, -4, -12, 0, 26, 0, 0, -31, 0, 0, 0, 44, 0, -2, -10, 0, -16, 78, 0, 36, 0, 0, 0, 30, 0, 0, -18, 0, 48, 18, 0, 4, 16, 0, -112, 0, 0, -3, 22, 0, 0, -20, 0, -11, 40, 0, -24, 42, 0, -35, 0, 0, -10, -54, 0, 0, 0, 0, -12, 10, 0, 36, -16, 0, 24, 0, 0, 37, -4, 0, 0, 10, 0, -35, -42, 0, -46, 14, 0, 16, 0, 0, -36, 12, 0, 0, 42, 0, 0, -10, 0, 7, 16, 0, 12, 0, 0, -55, 50, 0, 0, 42, 0, -53, 0, 0, -12, -12, 0, 26, 0, 0, 56, 24, 0, 0, -60, 0, -48, 42, 0, 35, 44, 0, -50, 0, 0, -25, 0, 0, 0, -2, 0, -57, 10, 0, 0, -28, 0, 28, 0, 0, -60, 30, 0, 0, -58, 0, -6, 0, 0, 91, 0, 0, 20, 0, 0, -7, 58, 0, 0, -14, 0, -19, 56, 0, -36, 34, 0, -8, 0, 0, -2, -20, 0, 0, 0, 0, 16, -24, 0, 0, 24, 0, 0, 0, 0, -8, -28, 0, 0, 16, 0, 36, -36, 0, -54, -6, 0, -23, 0, 0, -48, 42, 0, 0, 32, 0, -64, -40, 0, -30, -16, 0, 8, 0, 0, -27, -26, 0, 0, 20, 0, -4, 24, 0, -132, -52, 0, 14, 0, 0, 0, 30, 0, 0, -36, 0, 24, 18, 0, -22, 14, 0, 14, 0, 0, 56, 0, 0, 0, -18, 0, -20, 66, 0, -20, -2, 0, 84, 0, 0, 16, -28, 0, 0, -64, 0, -70, 22, 0, -1, 24, 0, -12, 0, 0, 18, -34, 0, 0, -42, 0, 24, 40, 0, 72, 0, 0, -27, 0, 0, 24, 36, 0, 0, 0, 0, 72, 50, 0, -35, -4, 0, 32, 0, 0, 0, 12, 0, 0, 48, 0, 47, -48, 0, -2, -20, 0, 3, 0, 0, 72, -18, 0, 0, 2, 0, 0, 0, 0, 17, 20, 0, 24, 0, 0, 5, 38, 0, 0, 8, 0, -9, 0, 0, 28, 66, 0, -5, 0, 0, 52, -8, 0, 0, -24, 0, -72, 42, 0, 8, 10, 0, 0, 0, 0, -3, 32, 0, 0, 34, 0, -47, -72, 0, 0, -8, 0, -9, 0, 0, 80, -28, 0, 0, 0, 0, 26, -30, 0, 60, 0, 0, -36, 0, 0, 15, -154, 0, 0, -30, 0, 7, -4, 0, -12, 12, 0, -17, 0, 0, -10, -24, 0, 0, 24, 0, -24, 52, 0, -11, 74, 0, 0, 0, 0, 3, -4, 0, 0, -56, 0, 29, -70, 0, -2, 98, 0, 25, 0, 0, -12, -6, 0, 0, 0, 0, 8, 18, 0, 55, 56, 0, 24, 0, 0, 108, -30, 0, 0, -20, 0, -36, 8, 0, -56, 56, 0, -16, 0, 0, 0, 10, 0, 0, 28, 0, 84, -66, 0, 62, -38, 0, 22, 0, 0, 24, 0, 0, 0, 10, 0, -34, 32, 0, -40, 28, 0, 0, 0, 0, -56, -6, 0, 0, -92, 0, -14, -60, 0, -40, -24, 0, 56, 0, 0, -38, 18, 0, 0, 8, 0, 60, 36, 0, -28, 88, 0, -30, 0, 0, -2, 14, 0, 0, 0, 0, 8, -2, 0, 77, 26, 0, 0, 0, 0, -13, 56, 0, 0, 6, 0, -65, -84, 0, 96, -34, 0, -69, 0, 0, 12, -4, 0, 0, 16, 0, 0, 14, 0, 53, -40, 0, -64, 0, 0, 7, -72, 0, 0, -54, 0, 1, 0, 0, 8, -40, 0, -24, 0, 0, 16, 70, 0, 0, 8, 0, -32, -10, 0, 46, -60, 0, 8, 0, 0, 49, 24, 0, 0, -84, 0, -33, -32, 0, 0, -20, 0, -28, 0, 0, 60, 0, 0, 0, 76, 0, -58, -30, 0, 5, 0, 0, -16, 0, 0, 12, -22, 0, 0, -8, 0, 32, -36, 0, -92, 26, 0, 1, 0, 0, 26, -2, 0, 0, -88, 0, 0, 2, 0, -31, -8, 0, 0, 0, 0, -10, 16, 0, 0, 126, 0, 23, 16, 0, -44, -48, 0, 3, 0, 0, 0, -10, 0, 0, -10, 0, 0, 24, 0, 24, -64, 0, -20, 0, 0, -77, 50, 0, 0, 48, 0, 0, 56, 0, 12, -42, 0, -15, 0, 0, 0, 56, 0, 0, 0, 0, 48, -50, 0, -36, 8, 0, 12, 0, 0, -39, 0, 0, 0, 10, 0, -69, 62, 0, -28, -12, 0, 68, 0, 0, -88, 30, 0, 0, 4, 0, 10, 70, 0, 43, 16, 0, -156, 0, 0, 25, -72, 0, 0, -36, 0, 52, 0, 0, -60, -60, 0, -50, 0, 0, 18, -36, 0, 0, 0, 0, -36, 22, 0, 0, -8, 0, -32, 0, 0, 108, 112, 0, 0, -26, 0, 56, 6, 0, -22, 2, 0, -18, 0, 0, 40, 6, 0, 0, 22, 0, 0, -120, 0, 55, 24, 0, -84, 0, 0, 0, 70, 0, 0, 26, 0, 21, 0, 0, 108, -28, 0, -47, 0, 0, 44, 48, 0, 0, 12, 0, -20, 42, 0, 1, -72, 0, 16, 0, 0, -45, -48, 0, 0, -40, 0, -175, -74, 0, 0, -30, 0, 5, 0, 0, -20, -70, 0, 0, 70, 0, 42, 14, 0, -11, 0, 0, -28, 0, 0, -58, -32, 0, 0, 10, 0, 27, 36, 0, -24, -34, 0, 35, 0, 0, -42, 20, 0, 0, 40, 0, 20, 34, 0, -15, -14, 0, 0, 0, 0, 60, -12, 0, 0, 8, 0, 12, 110, 0, -50, 6, 0, -108, 0, 0, -84, 0, 0, 0, 106, 0, -16, 44, 0, -56, 12, 0, 24, 0, 0, 10, -52, 0, 0, 30, 0, 1, 0, 0, -48, 48, 0, -38, 0, 0, 0, 18, 0, 0, 48, 0, -84, 4, 0, -37, -70, 0, -44, 0, 0, -7, 0, 0, 0, -70, 0, -43, 50, 0, 0, -48, 0, -40, 0, 0, 4, -42, 0, 0, 114, 0, -10, 24, 0, 48, 72, 0, 56, 0, 0, 40, -56, 0, 0, -56, 0, 8, 60, 0, -60, -54, 0, 35, 0, 0, 58, -26, 0, 0, 0, 0, 0, -4, 0, -59, -182, 0, -44, 0, 0, 12, -20, 0, 0, -16, 0, -46, 14, 0, -58, -20, 0, -33, 0, 0, 28, -22, 0, 0, 38, 0, 0, -40, 0, -12, 36, 0, -68, 0, 0, 47, 16, 0, 0, 126, 0, 7, 0, 0, 40, 48, 0, -59, 0, 0, -16, -66, 0, 0, -16, 0, 48, -6, 0, -65, 0, 0, -24, 0, 0, -140, 40, 0, 0, -56, 0, -6, 16, 0, 0, 0, 0, 72, 0, 0, -32, 60, 0, 0, -72, 0, 36, -18, 0, 4, 0, 0, 12, 0, 0, 108, 46, 0, 0, -10, 0, -55, 48, 0, -84, -2, 0, 78, 0, 0, -32, -44, 0, 0, 64, 0, 80, -216, 0, -33, 60, 0, 0, 0, 0, 7, -8, 0, 0, -26, 0, 41, 54, 0, 26, 30, 0, 32, 0, 0, -40, 12, 0, 0, 8, 0, -48, -74, 0, 15, 132, 0, 104, 0, 0, 0, -28, 0, 0, 42, 0, 60, -16, 0, -60, 14, 0, 12, 0, 0, 0, 66, 0, 0, -24, 0, -36, -50, 0, 40, 44, 0, -14, 0, 0, -8, 0, 0, 0, 18, 0, 9, -112, 0, -100, -126, 0, -13, 0, 0, 36, 104, 0, 0, 40, 0, -66, -40, 0, -27, 40, 0, 4, 0, 0, 20, -168, 0, 0, 0, 0, 35, -16, 0, 56, 2, 0, 84, 0, 0, 64, 30, 0, 0, 0, 0, -44, 56, 0, 5, 2, 0, -24, 0, 0, 12, 12, 0, 0, -78, 0, -18, -36, 0, 34, -4, 0, -11, 0, 0, 84, -12, 0, 0, -48, 0, 0, -12, 0, 80, -72, 0, 0, 0, 0, 33, 54, 0, 0, 44, 0, 1, 0, 0, -72, -8, 0, 19, 0, 0, -32, -90, 0, 0, -72, 0, -100, -90, 0, -63, 70, 0, 4, 0, 0, 28, 0, 0, 0, -28, 0, 42, 0, 0, 0, -100, 0, 48, 0, 0, -96, -22, 0, 0, -94, 0, 48, 72, 0, 55, 0, 0, 40, 0, 0, -39, -6, 0, 0, 32, 0, -41, -72, 0, 36, -20, 0, -49, 0, 0, -2, -14, 0, 0, -24, 0, 0, -24, 0, -120, -34, 0, 0, 0, 0, 66, -24, 0, 0, -68, 0, 3, -10, 0, -38, 16, 0, -77, 0, 0, -16, 30, 0, 0, 18, 0, 20, 38, 0, -24, -28, 0, -132, 0, 0, -27, 10, 0, 0, -56, 0, -41, -104, 0, 16, -50, 0, 7, 0, 0, 0, -36, 0, 0, 72, 0, -84, -32, 0, -46, -16, 0, -10, 0, 0, 12, 0, 0, 0, 126, 0, 0, 6, 0, 0, -18, 0, -45, 0, 0, -68, -6, 0, 0, 94, 0, 72, 138, 0, 1, 72, 0, 16, 0, 0, -161, 18, 0, 0, -18, 0, -73, -80, 0, 56, -60, 0, -31, 0, 0, 0, -30, 0, 0, 0, 0, 60, -28, 0, -71, -120, 0, -80, 0, 0, -24, 36, 0, 0, 22, 0, -48, -30, 0, 154, 34, 0, 7, 0, 0, 60, 14, 0, 0, -14, 0, 0, 70, 0, 33, 12, 0, -24, 0, 0, 5, 34, 0, 0, 20, 0, -6, 0, 0, 48, -54, 0, -45, 0, 0, -48, -72, 0, 0, 24, 0, -104, 0, 0, -41, 22, 0, -74, 0, 0, -72, -168, 0, 0, 0, 0, 61, -6, 0, 0, -34, 0, 125, 0, 0, 112, 24, 0, 0, -58, 0, 70, 18, 0, 45, 0, 0, -196, 0, 0, -4, -50, 0, 0, 150, 0, 20, 12, 0, 12, 98, 0, 72, 0, 0, 0, 6, 0, 0, -16, 0, -36, 24, 0, -19, -110, 0, 0, 0, 0, -23, -24, 0, 0, -20, 0, -91, -216, 0, 30, -68, 0, 29, 0, 0, 40, -80, 0, 0, 72, 0, -8, -8, 0, 27, 56, 0, -112, 0, 0, -26, 32, 0, 0, 30, 0, 71, -72, 0, -20, 18, 0, 35, 0, 0, 0, 66, 0, 0, -84, 0, 132, 12, 0, 29, -124, 0, 38, 0, 0, 48, 0, 0, 0, 42, 0, 40, -48, 0, 20, -52, 0, -12, 0, 0, -20, 74, 0, 0, 68, 0, -32, -8, 0, -168, 0, 0, -56, 0, 0, -1, 0, 0, 0, -6, 0, 22, 56, 0, 12, -4, 0, 0, 0, 0, 92, 6, 0, 0, 0, 0, 120, -42, 0, 36, 80, 0, 48, 0, 0, 68, -56, 0, 0, 32, 0, -13, 76, 0, -18, -18, 0, -13, 0, 0, -16, -140, 0, 0, -120, 0, 0, 30, 0, 0, 28, 0, -176, 0, 0, 84, 60, 0, 0, 10, 0, -16, 0, 0, -28, -22, 0, 35, 0, 0, -36, 0, 0, 0, -8, 0, 4, 162, 0, 25, -154, 0, -26, 0, 0, -6, 0, 0, 0, 18, 0, -72, 26, 0, 0, 66, 0, 3, 0, 0, -12, 32, 0, 0, 130, 0, 84, -80, 0, 52, 0, 0, 68, 0, 0, 7, 138, 0, 0, 14, 0, 48, -12, 0, 8, 20, 0, -5, 0, 0, -16, -18, 0, 0, -8, 0, -28, -18, 0, 112, -106, 0, 0, 0, 0, 161, 64, 0, 0, -82, 0, -35, -14, 0, 72, 0, 0, 20, 0, 0, 108, -90, 0, 0, -2, 0, -44, 38, 0, -9, -8, 0, 80, 0, 0, 19, 48, 0, 0, 10, 0, -55, -16, 0, -140, -6, 0, 108, 0, 0, 0, 38, 0, 0, 32, 0, 20, -56, 0, 100, -92, 0, 60, 0, 0, -56, 0, 0, 0, -42, 0, 11, -98, 0, -48, -54, 0, 92, 0, 0, 168, -28, 0, 0, 66, 0, 32, -36, 0, 29, 72, 0, 40, 0, 0, -2, 56, 0, 0, -12, 0, -84, -60, 0, 0, 68, 0, -95, 0, 0, -76, -36, 0, 0, 0, 0, 60, 82, 0, -2, -10, 0, -144, 0, 0, -3, 16, 0, 0, 34, 0, -33, -24, 0, 22, 210, 0, -53, 0, 0, 16, -6, 0, 0, -64, 0, 0, 82, 0, -75, 92, 0, -52, 0, 0, -8, -2, 0, 0, -20, 0, 175, 0, 0, 4, -26, 0, -78, 0, 0, 88, -54, 0, 0, 0, 0, -4, -42, 0, -120, 62, 0, 8, 0, 0, 39, 40, 0, 0, -44, 0, 24, 20, 0, 0, 42, 0, -21, 0, 0, -252, -50, 0, 0, -46, 0, -16, 34, 0, 16, 0, 0, 96, 0, 0, 73, -6, 0, 0, -78, 0, -43, 0, 0, 20, -18, 0, -53, 0, 0, 10, 88, 0, 0, -96, 0, -48, -2, 0, 21, -48, 0, 0, 0, 0, -36, 20, 0, 0, 90, 0, -11, 154, 0, -50, -52, 0, 72, 0, 0, -96, -76, 0, 0, 0, 0, -112, 6, 0, -35, -12, 0, 84, 0, 0, 25, 30, 0, 0, 90, 0, 25, 56, 0, -112, -20, 0, -25, 0, 0, 0, -144, 0, 0, -48, 0, 100, -22, 0, 143, 72, 0, -8, 0, 0, -59, 0, 0, 0, 36, 0, -60, 78, 0, -52, 30, 0, 7, 0, 0, -20, -66, 0, 0, 138, 0, -62, 24, 0, -12, 56, 0, 24, 0, 0, -37, -136, 0, 0, -16, 0, 0, 88, 0, -60, -2, 0, 80, 0, 0, -4, -24, 0, 0, 0, 0, -140, -22, 0, 40, -86, 0, 0, 0, 0, 22, 156, 0, 0, 98, 0, -70, -50, 0, 72, 108, 0, 72, 0, 0, 72, 54, 0, 0, -104, 0, 0, 10, 0, 65, 60, 0, 120, 0, 0, 189, 100, 0, 0, 0, 0, 45, 0, 0, 72, -32, 0, -30, 0, 0, -96, -4, 0, 0, 36, 0, -44, 10, 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], [-1.4142135623730951, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.37796447300922725, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.8090680674665818, 0.0], [0.0, 0.0], [-1.941450686788302, 0.0], [0.5345224838248488, 0.0], [0.0, 0.0], [-1.0, 0.0], [-0.9701425001453319, 0.0], [0.0, 0.0], [1.1470786693528088, 0.0], [0.0, 0.0], [0.0, 0.0], [2.5584085962673253, 0.0], [-0.41702882811414954, 0.0], [0.0, 0.0], [0.0, 0.0], [2.7456258919345764, 0.0], [0.0, 0.0], [-0.37796447300922725, 0.0], [-1.4855627054164149, 0.0], [0.0, 0.0], [0.5388159060803247, 0.0], [1.4142135623730951, 0.0], [0.0, 0.0], [1.3719886811400708, 0.0], [0.0, 0.0], [0.0, 0.0], [0.1643989873053573, 0.0], [-1.6222142113076254, 0.0], [0.0, 0.0], [0.0, 0.0], [0.31234752377721214, 0.0], [0.0, 0.0], [-1.6774842736586513, 0.0], [-1.8090680674665818, 0.0], [0.0, 0.0], [0.5897678246195885, 0.0], [-0.5834599659915782, 0.0], [0.0, 0.0], [-0.8571428571428571, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.941450686788302, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [2.1009029257555607, 0.0], [-0.7811334658849433, 0.0], [0.0, 0.0], [0.6401843996644798, 0.0], [-0.762000762001143, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.588202776631968, 0.0], [-0.9701425001453319, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.712068994916312, 0.0], [0.0, 0.0], [-0.23408229439226114, 0.0], [-0.23249527748763857, 0.0], [0.0, 0.0], [1.1470786693528088, 0.0], [0.6837634587578277, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4417261042993862, 0.0], [-0.658585559938142, 0.0], [0.0, 0.0], [0.0, 0.0], [2.372321010475645, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.483997032008904, 0.0], [0.0, 0.0], [0.7337993857053428, 0.0], [-0.41702882811414954, 0.0], [0.0, 0.0], [0.8251369970070347, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.116880781646981, 0.0], [1.212183053462653, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [-0.375, None, None, -0.2802594295809192, -0.42989055049811414, -0.46139476042218336, -0.33060316840167087, -0.15278498623355483, -0.283431409198009, -0.38324690618278534, -0.2065860009601446, None, -0.22504200852309533, -0.408354249377911, -0.29711543333786, -0.25, -0.3138604660378024, -0.19814305325021575, -0.3960290603396599, -0.30793572128106733, -0.2686704703871374, -0.25, -0.30340515484845554, -0.3830609385614908, -0.34430002459290054, -0.33287768587526073, -0.21842935982412973, -0.41796095208204553, -0.16169500549236118, -0.3279380434444061, -0.1922502035000134, -0.20779063542808374, -0.38960326155719704, -0.08884658221734205, -0.11804816014927243, -0.28260724918129865, -0.19153518193921107, -0.17911691067569002, -0.3726170848694172, -0.31206260624397164, -0.3376318164009342, -0.1697478883666227, -0.12124888721515713, -0.27879743560663944, -0.2613489354999302, -0.4016901845947097, -0.41493544660399634, -0.25532989783019094, -0.3269020739200204, -0.4253860494997191, -0.2921990564152555, -0.34889645126031227, -0.21380659832444093, -0.14128250415046184, -0.22003993106041783, -0.20011776127667638, -0.3096068141595376, -0.25, -0.18614291969785307, -0.2595000282584743, -0.2737398832425119, -0.09757221423329805, -0.28200740190340723, -0.1647591904073225, -0.2544985836198486, -0.10599229607602517, -0.23246867486369227, -0.39492480056594675, -0.2155562198189278, -0.3502029677248659, -0.41218187532363004, -0.25, -0.2291710417732099, -0.21257270084062183, -0.2955845177743433, -0.20040670120797893, -0.2256972380086931, -0.1616621538473989, -0.17581203398178166, -0.35604567101462464, -0.15030410305307212, -0.3400528610093335, -0.12149080718075289, -0.12729759032240767, -0.37164551410072794, -0.17967908238220043, -0.2802253028278705, -0.18083922376791248, -0.15561260073641148, -0.3106281890854222, -0.26475073365281937, -0.2941977423264972, -0.38441766554174855, -0.2788886182905034, -0.18787384234175308, -0.3982700477230803, -0.39701096404113506, -0.39459539355100276, -0.25347995715707883, -0.2671396237305985], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660933253, 'label': '8325.2.a.b.1.1', 'level': 8325, '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': [24, 30, 32, 28, 42, 39, 44, 46], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [112, 111, 111, 109, 102, 99, 92, 96], 'Nk2': 33300, 'analytic_conductor': 66.47545968271592, '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': [8325, 1, [3701, 7327, 5626], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1117, 'dim': 285, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11, 13], 'hecke_orbit_code': 33562757, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 8, 8, 9, 9, 10, 10, 13, 13, 16, 16], 'label': '8325.2.a', 'level': 8325, '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': [3, 5, 37], 'level_radical': 555, 'mf_dim': 1164, 'mf_new_dim': 285, 'num_forms': 76, 'plus_dim': 135, 'prim_orbit_index': 1, 'relative_dim': 285, 'sturm_bound': 2280, 'trace_bound': 13, 'trace_display': [-1, 0, 0, 2], 'traces': [285, -1, 0, 289, 0, 0, 2, -15, 0, 0, 2, 0, 8, -2, 0, 297, 0, 0, 14, 0, 0, 2, -4, 0, 0, -18, 0, 4, 22, 0, 12, -11, 0, -10, 0, 0, 1, 4, 0, 0, -4, 0, 18, -20, 0, -28, 14, 0, 291, 0, 0, 10, 12, 0, 0, -28, 0, -10, -44, 0, -2, -32, 0, 301, 0, 0, 16, 46, 0, 0, 2, 0, 48, 5, 0, 4, -46, 0, -18, 0, 0, 4, 6, 0, 0, 8, 0, -36, 32, 0, -34, -72, 0, -94, 0, 0, 54, -7, 0, 0, -4, 0, -6, -22, 0, -64, -28, 0, -12, 0, 0, -32, -18, 0, 0, 22, 0, -8, 34, 0, 343, -22, 0, -56, 0, 0, -18, 5, 0, 0, -6, 0, 22, -64, 0, -114, 14, 0, 32, 0, 0, 18, -2, 0, 0, -152, 0, 3, 16, 0, -88, -48, 0, -18, 0, 0, 48, -28, 0, 0, 12, 0, -2, -98, 0, -86, 6, 0, 355, 0, 0, 48, 12, 0, 0, -60, 0, 14, -12, 0, 48, -76, 0, -12, 0, 0, -18, 184, 0, 0, 68, 0, 40, 170, 0, 533, 100, 0, -140, 0, 0, 52, -12, 0, 0, -40, 0, 158, 2, 0, 50, -54, 0, 40, 0, 0, 52, 74, 0, 0, 0, 0, -6, 56, 0, -18, 40, 0, 72, 0, 0, -22, 118, 0, 0, -112, 0, 32, -68, 0, -2, -23, 0, -130, 0, 0, -24, -36, 0, 0, 38, 0, -16, -22, 0, 161, -50, 0, -8, 0, 0, 52, -26, 0, 0, 152, 0, -112, -118, 0, -34, 74, 0, -110, 0, 0, 30, 96, 0, 0, 10, 0, -68, 280, 0, -176, -26, 0, 403, 0, 0, 102, -38, 0, 0, 15, 0, -68, 72, 0, -74, 88, 0, 48, 0, 0, 82, -184, 0, 0, 74, 0, 88, 136, 0, -172, 54, 0, -172, 0, 0, 40, -68, 0, 0, 144, 0, 6, 138, 0, -200, 296, 0, -100, 0, 0, -60, -15, 0, 0, 156, 0, -110, 36, 0, 28, -40, 0, -158, 0, 0, 44, -4, 0, 0, 322, 0, -108, -86, 0, 357, -172, 0, 236, 0, 0, -52, -72, 0, 0, -42, 0, -88, 244, 0, -296, 136, 0, -174, 0, 0, -168, -8, 0, 0, -46, 0, 86, -110, 0, -204, 181, 0, 88, 0, 0, -64, 48, 0, 0, -96, 0, 36, 206, 0, -20, -20, 0, 46, 0, 0, 108, -36, 0, 0, -218, 0, 56, -262, 0, 80, 38, 0, -66, 0, 0, -16, -56, 0, 0, -150, 0, 116, 136, 0, -334, 56, 0, -260, 0, 0, 180, -134, 0, 0, 214, 0, -20, -48, 0, 14, -50, 0, 232, 0, 0, -100, 232, 0, 0, -36, 0, 48, 14, 0, 210, -12, 0, 12, 0, 0, -12, -18, 0, 0, 132, 0, 20, 148, 0, -4, 194, 0, 393, 0, 0, -90, -30, 0, 0, 0, 0, 104, 20, 0, 160, -98, 0, 104, 0, 0, -168, -134, 0, 0, 0, 0, 140, -148, 0, 42, -75, 0, 238, 0, 0, -102, 6, 0, 0, -84, 0, -22, -12, 0, 42, -100, 0, 157, 0, 0, 256, 74, 0, 0, 0, 0, -238, -44, 0, -46, 2, 0, -494, 0, 0, -8, -58, 0, 0, -224, 0, 94, -158, 0, -184, 102, 0, -84, 0, 0, -174, -34, 0, 0, 100, 0, -96, 130, 0, -150, 180, 0, -62, 0, 0, -80, -199, 0, 0, 18, 0, -90, 218, 0, -218, -82, 0, 96, 0, 0, -9, -92, 0, 0, 86, 0, -56, -210, 0, -146, 128, 0, 64, 0, 0, -70, 68, 0, 0, -106, 0, 184, 170, 0, -32, -56, 0, 222, 0, 0, -24, 106, 0, 0, 190, 0, 190, 24, 0, -42, -200, 0, -342, 0, 0, 62, 268, 0, 0, 4, 0, -72, 112, 0, 192, -182, 0, 80, 0, 0, 96, -34, 0, 0, 322, 0, -186, 54, 0, -88, -220, 0, -192, 0, 0, -96, -304, 0, 0, 380, 0, 20, 36, 0, 511, -132, 0, 100, 0, 0, 80, -178, 0, 0, 94, 0, 84, 122, 0, 56, 38, 0, -216, 0, 0, 34, 242, 0, 0, 178, 0, 6, -188, 0, -2, -34, 0, 0, 0, 0, -10, -4, 0, 0, 96, 0, -94, -46, 0, -418, 135, 0, 98, 0, 0, -174, 112, 0, 0, 60, 0, -20, 256, 0, -364, -84, 0, 206, 0, 0, -154, 102, 0, 0, -336, 0, -4, -132, 0, 214, 596, 0, -96, 0, 0, -154, 50, 0, 0, -56, 0, 2, 120, 0, -144, 36, 0, -174, 0, 0, 170, 268, 0, 0, 606, 0, 198, 190, 0, 126, -164, 0, 317, 0, 0, 38, 182, 0, 0, -152, 0, -68, -272, 0, -416, -78, 0, 330, 0, 0, -14, -50, 0, 0, -16, 0, 230, 122, 0, 278, -228, 0, -26, 0, 0, 76, 94, 0, 0, -248, 0, -116, -136, 0, -172, 188, 0, 146, 0, 0, 310, 6, 0, 0, 460, 0, 98, 216, 0, 239, 26, 0, -196, 0, 0, 100, -126, 0, 0, 12, 0, 138, -120, 0, -12, 132, 0, -126, 0, 0, 64, -140, 0, 0, -216, 0, -148, -74, 0, 124, 274, 0, 912, 0, 0, 46, -176, 0, 0, -254, 0, 40, 296, 0, -326, 246, 0, -346, 0, 0, 220, -166, 0, 0, 332, 0, 106, -168, 0, 110, -402, 0, -122, 0, 0, -88, 284, 0, 0, 6, 0, 114, -358, 0, 702, -94, 0, 58, 0, 0, 46, -182, 0, 0, -280, 0, -246, -206, 0, 308, 374, 0, -184, 0, 0, -84, 76, 0, 0, -142, 0, 24, -128, 0, -112, 182, 0, 22, 0, 0, 344, 184, 0, 0, -424, 0, -252, 304, 0, -7, -38, 0, -274, 0, 0, -116, -83, 0, 0, -36, 0, -184, -432, 0, 134, 38, 0, 10, 0, 0, -108, -222, 0, 0, 328, 0, -200, 88, 0, -190, -56, 0, -278, 0, 0, -142, -360, 0, 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: 34148498
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660933253, 'source_is_minimal': True, 'source_label': '8325.2.a.b.1.1', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660933253, 'target_is_minimal': True, 'target_label': '8325.2.a.b.1.1', 'target_level': 8325, 'twist_class_label': '8325.2.a.b.1.1', 'twist_class_level': 8325, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 34148499
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660933253, 'source_is_minimal': True, 'source_label': '8325.2.a.b.1.1', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 121597189972566149, 'target_is_minimal': True, 'target_label': '8325.2.a.bb.1.1', 'target_level': 8325, 'twist_class_label': '8325.2.a.b.1.1', 'twist_class_level': 8325, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 34148500
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660933253, 'source_is_minimal': True, 'source_label': '8325.2.a.b.1.1', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 130604389227307141, 'target_is_minimal': True, 'target_label': '8325.2.a.bd.1.1', 'target_level': 8325, 'twist_class_label': '8325.2.a.b.1.1', 'twist_class_level': 8325, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 34148501
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660933253, 'source_is_minimal': True, 'source_label': '8325.2.a.b.1.1', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998170415237, 'target_is_minimal': True, 'target_label': '8325.2.a.f.1.1', 'target_level': 8325, 'twist_class_label': '8325.2.a.b.1.1', 'twist_class_level': 8325, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4721650
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 2}
  • id: 4721651
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 3}
  • id: 4721652
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 5}
  • id: 4721653
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 7}
  • id: 4721654
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 11}
  • id: 4721655
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 13}
  • id: 4721656
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 17}
  • id: 4721657
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 19}
  • id: 4721658
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 23}
  • id: 4721659
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 29}
  • id: 4721660
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 31}
  • id: 4721661
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 37}
  • id: 4721662
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 41}
  • id: 4721663
    {'charpoly_factorization': [[[11, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 43}
  • id: 4721664
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 47}
  • id: 4721665
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 53}
  • id: 4721666
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 59}
  • id: 4721667
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 61}
  • id: 4721668
    {'charpoly_factorization': [[[13, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 67}
  • id: 4721669
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 71}
  • id: 4721670
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 73}
  • id: 4721671
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 79}
  • id: 4721672
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 83}
  • id: 4721673
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 4503599660933253, 'p': 89}
  • id: 4721674
    {'charpoly_factorization': [[[11, 1], 1]], 'hecke_orbit_code': 4503599660933253, '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': 2, 'label': '8325.2.a.b', 'level': 8325, '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: 18166104
    {'hecke_orbit_code': 4503599660933253, 'n': 1, 'trace_an': 1}
  • id: 18166105
    {'hecke_orbit_code': 4503599660933253, 'n': 2, 'trace_an': -2}
  • id: 18166106
    {'hecke_orbit_code': 4503599660933253, 'n': 3, 'trace_an': 0}
  • id: 18166107
    {'hecke_orbit_code': 4503599660933253, 'n': 4, 'trace_an': 2}
  • id: 18166108
    {'hecke_orbit_code': 4503599660933253, 'n': 5, 'trace_an': 0}
  • id: 18166109
    {'hecke_orbit_code': 4503599660933253, 'n': 6, 'trace_an': 0}
  • id: 18166110
    {'hecke_orbit_code': 4503599660933253, 'n': 7, 'trace_an': -1}
  • id: 18166111
    {'hecke_orbit_code': 4503599660933253, 'n': 8, 'trace_an': 0}
  • id: 18166112
    {'hecke_orbit_code': 4503599660933253, 'n': 9, 'trace_an': 0}
  • id: 18166113
    {'hecke_orbit_code': 4503599660933253, 'n': 10, 'trace_an': 0}
  • id: 18166114
    {'hecke_orbit_code': 4503599660933253, 'n': 11, 'trace_an': -6}
  • id: 18166115
    {'hecke_orbit_code': 4503599660933253, 'n': 12, 'trace_an': 0}
  • id: 18166116
    {'hecke_orbit_code': 4503599660933253, 'n': 13, 'trace_an': -7}
  • id: 18166117
    {'hecke_orbit_code': 4503599660933253, 'n': 14, 'trace_an': 2}
  • id: 18166118
    {'hecke_orbit_code': 4503599660933253, 'n': 15, 'trace_an': 0}
  • id: 18166119
    {'hecke_orbit_code': 4503599660933253, 'n': 16, 'trace_an': -4}
  • id: 18166120
    {'hecke_orbit_code': 4503599660933253, 'n': 17, 'trace_an': -4}
  • id: 18166121
    {'hecke_orbit_code': 4503599660933253, 'n': 18, 'trace_an': 0}
  • id: 18166122
    {'hecke_orbit_code': 4503599660933253, 'n': 19, 'trace_an': 5}
  • id: 18166123
    {'hecke_orbit_code': 4503599660933253, 'n': 20, 'trace_an': 0}
  • id: 18166124
    {'hecke_orbit_code': 4503599660933253, 'n': 21, 'trace_an': 0}
  • id: 18166125
    {'hecke_orbit_code': 4503599660933253, 'n': 22, 'trace_an': 12}
  • id: 18166126
    {'hecke_orbit_code': 4503599660933253, 'n': 23, 'trace_an': -2}
  • id: 18166127
    {'hecke_orbit_code': 4503599660933253, 'n': 24, 'trace_an': 0}
  • id: 18166128
    {'hecke_orbit_code': 4503599660933253, 'n': 25, 'trace_an': 0}
  • id: 18166129
    {'hecke_orbit_code': 4503599660933253, 'n': 26, 'trace_an': 14}
  • id: 18166130
    {'hecke_orbit_code': 4503599660933253, 'n': 27, 'trace_an': 0}
  • id: 18166131
    {'hecke_orbit_code': 4503599660933253, 'n': 28, 'trace_an': -2}
  • id: 18166132
    {'hecke_orbit_code': 4503599660933253, 'n': 29, 'trace_an': -8}
  • id: 18166133
    {'hecke_orbit_code': 4503599660933253, 'n': 30, 'trace_an': 0}
  • id: 18166134
    {'hecke_orbit_code': 4503599660933253, 'n': 31, 'trace_an': 3}
  • id: 18166135
    {'hecke_orbit_code': 4503599660933253, 'n': 32, 'trace_an': 8}
  • id: 18166136
    {'hecke_orbit_code': 4503599660933253, 'n': 33, 'trace_an': 0}
  • id: 18166137
    {'hecke_orbit_code': 4503599660933253, 'n': 34, 'trace_an': 8}
  • id: 18166138
    {'hecke_orbit_code': 4503599660933253, 'n': 35, 'trace_an': 0}
  • id: 18166139
    {'hecke_orbit_code': 4503599660933253, 'n': 36, 'trace_an': 0}
  • id: 18166140
    {'hecke_orbit_code': 4503599660933253, 'n': 37, 'trace_an': 1}
  • id: 18166141
    {'hecke_orbit_code': 4503599660933253, 'n': 38, 'trace_an': -10}
  • id: 18166142
    {'hecke_orbit_code': 4503599660933253, 'n': 39, 'trace_an': 0}
  • id: 18166143
    {'hecke_orbit_code': 4503599660933253, 'n': 40, 'trace_an': 0}
  • id: 18166144
    {'hecke_orbit_code': 4503599660933253, 'n': 41, 'trace_an': 2}
  • id: 18166145
    {'hecke_orbit_code': 4503599660933253, 'n': 42, 'trace_an': 0}
  • id: 18166146
    {'hecke_orbit_code': 4503599660933253, 'n': 43, 'trace_an': -11}
  • id: 18166147
    {'hecke_orbit_code': 4503599660933253, 'n': 44, 'trace_an': -12}
  • id: 18166148
    {'hecke_orbit_code': 4503599660933253, 'n': 45, 'trace_an': 0}
  • id: 18166149
    {'hecke_orbit_code': 4503599660933253, 'n': 46, 'trace_an': 4}
  • id: 18166150
    {'hecke_orbit_code': 4503599660933253, 'n': 47, 'trace_an': -4}
  • id: 18166151
    {'hecke_orbit_code': 4503599660933253, 'n': 48, 'trace_an': 0}
  • id: 18166152
    {'hecke_orbit_code': 4503599660933253, 'n': 49, 'trace_an': -6}
  • id: 18166153
    {'hecke_orbit_code': 4503599660933253, 'n': 50, 'trace_an': 0}
  • id: 18166154
    {'hecke_orbit_code': 4503599660933253, 'n': 51, 'trace_an': 0}
  • id: 18166155
    {'hecke_orbit_code': 4503599660933253, 'n': 52, 'trace_an': -14}
  • id: 18166156
    {'hecke_orbit_code': 4503599660933253, 'n': 53, 'trace_an': 0}
  • id: 18166157
    {'hecke_orbit_code': 4503599660933253, 'n': 54, 'trace_an': 0}
  • id: 18166158
    {'hecke_orbit_code': 4503599660933253, 'n': 55, 'trace_an': 0}
  • id: 18166159
    {'hecke_orbit_code': 4503599660933253, 'n': 56, 'trace_an': 0}
  • id: 18166160
    {'hecke_orbit_code': 4503599660933253, 'n': 57, 'trace_an': 0}
  • id: 18166161
    {'hecke_orbit_code': 4503599660933253, 'n': 58, 'trace_an': 16}
  • id: 18166162
    {'hecke_orbit_code': 4503599660933253, 'n': 59, 'trace_an': -6}
  • id: 18166163
    {'hecke_orbit_code': 4503599660933253, 'n': 60, 'trace_an': 0}
  • id: 18166164
    {'hecke_orbit_code': 4503599660933253, 'n': 61, 'trace_an': 5}
  • id: 18166165
    {'hecke_orbit_code': 4503599660933253, 'n': 62, 'trace_an': -6}
  • id: 18166166
    {'hecke_orbit_code': 4503599660933253, 'n': 63, 'trace_an': 0}
  • id: 18166167
    {'hecke_orbit_code': 4503599660933253, 'n': 64, 'trace_an': -8}
  • id: 18166168
    {'hecke_orbit_code': 4503599660933253, 'n': 65, 'trace_an': 0}
  • id: 18166169
    {'hecke_orbit_code': 4503599660933253, 'n': 66, 'trace_an': 0}
  • id: 18166170
    {'hecke_orbit_code': 4503599660933253, 'n': 67, 'trace_an': -13}
  • id: 18166171
    {'hecke_orbit_code': 4503599660933253, 'n': 68, 'trace_an': -8}
  • id: 18166172
    {'hecke_orbit_code': 4503599660933253, 'n': 69, 'trace_an': 0}
  • id: 18166173
    {'hecke_orbit_code': 4503599660933253, 'n': 70, 'trace_an': 0}
  • id: 18166174
    {'hecke_orbit_code': 4503599660933253, 'n': 71, 'trace_an': -6}
  • id: 18166175
    {'hecke_orbit_code': 4503599660933253, 'n': 72, 'trace_an': 0}
  • id: 18166176
    {'hecke_orbit_code': 4503599660933253, 'n': 73, 'trace_an': -2}
  • id: 18166177
    {'hecke_orbit_code': 4503599660933253, 'n': 74, 'trace_an': -2}
  • id: 18166178
    {'hecke_orbit_code': 4503599660933253, 'n': 75, 'trace_an': 0}
  • id: 18166179
    {'hecke_orbit_code': 4503599660933253, 'n': 76, 'trace_an': 10}
  • id: 18166180
    {'hecke_orbit_code': 4503599660933253, 'n': 77, 'trace_an': 6}
  • id: 18166181
    {'hecke_orbit_code': 4503599660933253, 'n': 78, 'trace_an': 0}
  • id: 18166182
    {'hecke_orbit_code': 4503599660933253, 'n': 79, 'trace_an': 0}
  • id: 18166183
    {'hecke_orbit_code': 4503599660933253, 'n': 80, 'trace_an': 0}
  • id: 18166184
    {'hecke_orbit_code': 4503599660933253, 'n': 81, 'trace_an': 0}
  • id: 18166185
    {'hecke_orbit_code': 4503599660933253, 'n': 82, 'trace_an': -4}
  • id: 18166186
    {'hecke_orbit_code': 4503599660933253, 'n': 83, 'trace_an': -6}
  • id: 18166187
    {'hecke_orbit_code': 4503599660933253, 'n': 84, 'trace_an': 0}
  • id: 18166188
    {'hecke_orbit_code': 4503599660933253, 'n': 85, 'trace_an': 0}
  • id: 18166189
    {'hecke_orbit_code': 4503599660933253, 'n': 86, 'trace_an': 22}
  • id: 18166190
    {'hecke_orbit_code': 4503599660933253, 'n': 87, 'trace_an': 0}
  • id: 18166191
    {'hecke_orbit_code': 4503599660933253, 'n': 88, 'trace_an': 0}
  • id: 18166192
    {'hecke_orbit_code': 4503599660933253, 'n': 89, 'trace_an': -14}
  • id: 18166193
    {'hecke_orbit_code': 4503599660933253, 'n': 90, 'trace_an': 0}
  • id: 18166194
    {'hecke_orbit_code': 4503599660933253, 'n': 91, 'trace_an': 7}
  • id: 18166195
    {'hecke_orbit_code': 4503599660933253, 'n': 92, 'trace_an': -4}
  • id: 18166196
    {'hecke_orbit_code': 4503599660933253, 'n': 93, 'trace_an': 0}
  • id: 18166197
    {'hecke_orbit_code': 4503599660933253, 'n': 94, 'trace_an': 8}
  • id: 18166198
    {'hecke_orbit_code': 4503599660933253, 'n': 95, 'trace_an': 0}
  • id: 18166199
    {'hecke_orbit_code': 4503599660933253, 'n': 96, 'trace_an': 0}
  • id: 18166200
    {'hecke_orbit_code': 4503599660933253, 'n': 97, 'trace_an': -11}
  • id: 18166201
    {'hecke_orbit_code': 4503599660933253, 'n': 98, 'trace_an': 12}
  • id: 18166202
    {'hecke_orbit_code': 4503599660933253, 'n': 99, 'trace_an': 0}
  • id: 18166203
    {'hecke_orbit_code': 4503599660933253, 'n': 100, 'trace_an': 0}