Embedded newform data - 2496.2.a.z.1.1

Formats: - HTML - YAML - JSON - 2026-09-09T12:11:32.030715

• 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': 9984, 'analytic_conductor': 19.930660344511583, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [13, -1]], 'atkin_lehner_string': '+--', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2496, 1, [703, 1093, 833, 769], [1, 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': [[5, [-2, 1]], [7, [2, 1]], [11, [6, 1]], [17, [2, 1]], [19, [6, 1]]], 'hecke_orbit': 26, 'hecke_orbit_code': 112589990717819328, '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': False, 'label': '2496.2.a.z', 'level': 2496, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 13], 'level_radical': 78, 'minimal_twist': '1248.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{3}+2q^{5}-2q^{7}+q^{9}-6q^{11}+\\cdots', 'related_objects': ['EllipticCurve/Q/2496/z'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2496.2.a', 'trace_display': [0, 1, 2, -2], 'trace_hash': 146060592150865045, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.004', 'prec': 4}, {'__RealLiteral__': 0, 'data': '0.971', 'prec': 10}, {'__RealLiteral__': 0, 'data': '0.030', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.930', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.068', 'prec': 7}, {'__RealLiteral__': 0, 'data': '4.836', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.008', 'prec': 4}, 'traces': [1, 0, 1, 0, 2, 0, -2, 0, 1, 0, -6, 0, 1, 0, 2, 0, -2, 0, -6, 0, -2, 0, 0, 0, -1, 0, 1, 0, 6, 0, -6, 0, -6, 0, -4, 0, -2, 0, 1, 0, -10, 0, 8, 0, 2, 0, -6, 0, -3, 0, -2, 0, -6, 0, -12, 0, -6, 0, -6, 0, 10, 0, -2, 0, 2, 0, 2, 0, 0, 0, 14, 0, -14, 0, -1, 0, 12, 0, -4, 0, 1, 0, 6, 0, -4, 0, 6, 0, 6, 0, -2, 0, -6, 0, -12, 0, -14, 0, -6, 0, -6, 0, 0, 0, -4, 0, -4, 0, 14, 0, -2, 0, 14, 0, 0, 0, 1, 0, 4, 0, 25, 0, -10, 0, -12, 0, -8, 0, 8, 0, -12, 0, 12, 0, 2, 0, -2, 0, 12, 0, -6, 0, -6, 0, 12, 0, -3, 0, 18, 0, -2, 0, -2, 0, -12, 0, -18, 0, -6, 0, 0, 0, 14, 0, -12, 0, -22, 0, 1, 0, -6, 0, 18, 0, 2, 0, -6, 0, 16, 0, -10, 0, 10, 0, -4, 0, 12, 0, -2, 0, -4, 0, -6, 0, 2, 0, 18, 0, 8, 0, 2, 0, -12, 0, -20, 0, 0, 0, 36, 0, -20, 0, 14, 0, 16, 0, 12, 0, -14, 0, -2, 0, -22, 0, -1, 0, 6, 0, -10, 0, 12, 0, 2, 0, -12, 0, -4, 0, 14, 0, -22, 0, 1, 0, -6, 0, -6, 0, 6, 0, -24, 0, 0, 0, -4, 0, -6, 0, 4, 0, 6, 0, 4, 0, -12, 0, 6, 0, 6, 0, 6, 0, -2, 0, 6, 0, -22, 0, -6, 0, 22, 0, -24, 0, -12, 0, 20, 0, -13, 0, -14, 0, -30, 0, -12, 0, -6, 0, 0, 0, -16, 0, -6, 0, 20, 0, 14, 0, 0, 0, -8, 0, 6, 0, -4, 0, 2, 0, -36, 0, -4, 0, 12, 0, -1, 0, 14, 0, 12, 0, 26, 0, -2, 0, 4, 0, 6, 0, 14, 0, 36, 0, 20, 0, 0, 0, 20, 0, 6, 0, 1, 0, 30, 0, 28, 0, 4, 0, 18, 0, 17, 0, 25, 0, -28, 0, -20, 0, -10, 0, 12, 0, -10, 0, -12, 0, 6, 0, -30, 0, -8, 0, -10, 0, 24, 0, 8, 0, 6, 0, 0, 0, -12, 0, -8, 0, 14, 0, 12, 0, -10, 0, -6, 0, 2, 0, 12, 0, -38, 0, -2, 0, 12, 0, 12, 0, 12, 0, -4, 0, -34, 0, -6, 0, 2, 0, -20, 0, -6, 0, 22, 0, 2, 0, 12, 0, 0, 0, 8, 0, -3, 0, -12, 0, 12, 0, 18, 0, 6, 0, 60, 0, -2, 0, -4, 0, -22, 0, -2, 0, 18, 0, 14, 0, -12, 0, 8, 0, -4, 0, -18, 0, -48, 0, 6, 0, -6, 0, -14, 0, -2, 0, 0, 0, -28, 0, 42, 0, 14, 0, 40, 0, -12, 0, -12, 0, -28, 0, -6, 0, -22, 0, 28, 0, -12, 0, 1, 0, 34, 0, 28, 0, -6, 0, 0, 0, 36, 0, 18, 0, -26, 0, -28, 0, 2, 0, 12, 0, -23, 0, -6, 0, -10, 0, -8, 0, 16, 0, 18, 0, -42, 0, -10, 0, 28, 0, 20, 0, 10, 0, -36, 0, 8, 0, -4, 0, 42, 0, 8, 0, 12, 0, 0, 0, 28, 0, -2, 0, 2, 0, 8, 0, -4, 0, 0, 0, -38, 0, -6, 0, -12, 0, 36, 0, 2, 0, -2, 0, 36, 0, 18, 0, 30, 0, 8, 0, 8, 0, -12, 0, -10, 0, 2, 0, 50, 0, 20, 0, -12, 0, -6, 0, 14, 0, -20, 0, -10, 0, -26, 0, 0, 0, -12, 0, -19, 0, 36, 0, 4, 0, 30, 0, -20, 0, -16, 0, -3, 0, 14, 0, -2, 0, 26, 0, 16, 0, 24, 0, 36, 0, 12, 0, 6, 0, -24, 0, -14, 0, -12, 0, 30, 0, -2, 0, 24, 0, 0, 0, -22, 0, -60, 0, 22, 0, -1, 0, 26, 0, 28, 0, 6, 0, -22, 0, -4, 0, -10, 0, -6, 0, 10, 0, 12, 0, 24, 0, 20, 0, 2, 0, -50, 0, 12, 0, -12, 0, 12, 0, 14, 0, -4, 0, 0, 0, -12, 0, 14, 0, -24, 0, 0, 0, -22, 0, -6, 0, 40, 0, 1, 0, -16, 0, 30, 0, -6, 0, -12, 0, -26, 0, -6, 0, -26, 0, 36, 0, 6, 0, 8, 0, 16, 0, -24, 0, -4, 0, 34, 0, 0, 0, 14, 0, -28, 0, -4, 0, -6, 0, -14, 0, -6, 0, 10, 0, 6, 0, 4, 0, 60, 0, -84, 0, 6, 0, -36, 0, -26, 0, 4, 0, -28, 0, 10, 0, -12, 0, -50, 0, 12, 0, 6, 0, 84, 0, 0, 0, 6, 0, -26, 0, 50, 0, 6, 0, 28, 0, -48, 0, -2, 0, -54, 0, -32, 0, 6, 0, 2, 0, 50, 0, -22, 0, 6, 0, -44, 0, -6, 0, 34, 0, 7, 0, 22, 0, 2, 0, -50, 0, -24, 0, 0, 0, -26, 0, -12, 0, 18, 0, -28, 0, 20, 0, -10, 0, 36, 0, -13, 0, 24, 0, 2, 0, -14, 0, 24, 0, -34, 0, -30, 0, -6, 0, -40, 0, -12, 0, -28, 0, 16, 0, -6, 0, 36, 0, 32, 0, 0, 0, -36, 0, 12, 0, -16, 0, -20, 0, -24, 0, -6, 0, -12, 0, -36, 0, 20, 0, 24, 0, -36, 0, 14, 0, 14, 0, 2, 0, 0, 0, -34, 0, 18, 0, -8, 0, 24, 0, 10, 0, 6, 0, 18, 0, 0, 0, -4, 0, 34, 0, -14, 0, 2, 0, 2, 0, -8, 0, -36, 0, 4, 0, 5, 0, -4, 0, -12, 0, -22, 0, 12, 0, -36, 0, -24, 0, -1, 0, 30, 0, -36, 0, 14, 0, 42, 0, 36, 0, 12, 0, 0, 0, -20, 0, 26, 0, 16, 0, 34, 0, -2, 0, 12, 0, 12, 0, 4, 0, 36, 0, 34, 0, 6, 0, -22, 0, -24, 0, 14, 0, -58, 0, 6, 0, 36, 0, 10, 0, -4, 0, 20, 0, 16, 0, -46, 0, 0, 0, -20, 0, 40, 0, 20, 0, -36, 0, 72, 0, 6, 0, -6, 0, -18, 0, 1, 0, -40, 0, 4, 0, 30, 0, -30, 0, 56, 0, 28, 0, 84, 0, -18, 0, 4, 0, -12, 0, -8, 0, 18, 0, 6, 0, 0, 0, 17, 0, 24, 0, -58, 0, 25, 0, -8, 0, -14, 0, -28, 0, -34, 0, 36, 0, -20, 0, -30, 0, -4, 0, -10, 0, -42, 0, 36, 0, 12, 0, -44, 0, 30, 0, -10, 0, 36, 0, -38, 0, -12, 0, 0, 0, 10, 0, 6, 0, 0, 0, 12, 0, -30, 0, -4, 0, -28, 0, -8, 0, -20, 0, 12, 0, -10, 0, 2, 0, 62, 0, 24, 0, 6, 0, -60, 0, 8, 0, 62, 0, 4, 0, 6, 0, 44, 0, 28, 0, 0, 0, 6, 0, 24, 0, -12, 0, -22, 0, -2, 0, -8, 0, -24, 0, -60, 0, 14, 0, -46, 0, 28, 0, 12, 0, -84, 0, 50, 0, -10, 0, -44, 0, -28, 0, -6, 0, -36, 0, -34, 0, 2, 0, 30, 0, 0, 0, 12, 0, -20, 0, 3, 0, -38, 0, -14, 0, -28, 0, -2, 0, -12, 0, -2, 0, 12, 0, 28, 0, -84, 0, 12, 0, 48, 0, -2, 0, 12, 0, -32, 0, -48, 0, -4, 0, -46, 0, -14, 0, -34, 0, 0, 0, 20, 0, -6, 0, 60, 0, -12, 0, 2, 0, 18, 0, -14, 0, -20, 0, 4, 0, -12, 0, -6, 0, -2, 0, -56, 0, 22, 0, 8, 0, -62, 0, 2, 0, -70, 0, 68, 0, 12, 0, -30, 0, -24, 0, 0, 0, -6, 0, 8, 0, 8, 0, -18, 0, -62, 0, -3, 0, 6, 0, 68, 0, -12, 0, -84, 0, -48, 0, 12, 0, 8, 0, 0, 0, 18, 0, 8, 0, 12, 0, 6, 0, -84, 0, 12, 0, 60, 0, 12, 0, 0, 0, -2, 0, 66, 0, -36, 0, -4, 0, -18, 0, -33, 0, -22, 0, -46, 0, 72, 0, -2, 0, -36, 0, 50, 0, 18, 0, -44, 0, 84, 0, 14, 0, -4, 0, -16, 0, -12, 0, 48, 0, -74, 0, 8, 0, 0, 0, 44, 0, -4, 0, -50, 0, -12, 0, -18, 0, -48, 0, 14, 0, -48, 0, -18, 0, -38, 0, 6, 0, -32, 0, 26, 0, -6, 0, -54, 0, 40, 0, -14, 0, -20, 0, 72, 0, -2, 0, -26, 0, -16, 0, 0, 0, 58, 0, -50, 0, -28, 0, 36, 0, -44, 0, 42, 0, -72, 0, -60, 0, 14, 0, 14, 0, -38, 0, 40, 0, 6, 0, 40, 0, -12, 0, 6, 0, -20, 0, -12, 0, 6, 0, -14, 0, -28, 0, 42, 0, 0, 0, -6, 0, 40, 0, 24, 0, -22, 0, -32, 0, 12, 0, 28, 0, -52, 0, -12, 0, -12, 0, 20, 0, 18, 0, 1, 0, -42, 0, -10, 0, 34, 0, -72, 0, 32, 0, 28, 0, 28, 0, -36, 0, -6, 0, 0, 0, -52, 0, 0, 0, 4, 0, -42, 0, 36, 0, 30, 0, -16, 0, 18, 0, -32, 0, 44, 0, -26, 0, 12, 0, -10, 0, -28, 0, 42, 0, 25, 0, 2, 0, -36, 0, 74, 0, 12, 0, 0, 0, 4, 0, -23, 0, -12, 0, -16, 0, -6, 0, -72, 0, -58, 0, -10, 0, -66, 0, 20, 0, -8, 0, -30, 0, -2, 0, 16, 0, 38, 0, 24, 0, 18, 0, -6, 0, -10, 0, -42, 0, -12, 0, 34, 0, -10, 0, -4, 0, 0, 0, 28, 0, 22, 0, -108, 0, 20, 0, 36, 0, 24, 0, 10, 0, 28, 0, -8, 0, -36, 0, 52, 0, 34, 0, 8, 0, 12, 0, 48, 0, -4, 0, 68, 0, 70, 0, 42, 0, -28, 0, -2, 0, 8, 0, 0, 0, 59, 0, 12, 0, 12, 0, 44, 0, 0, 0, -36, 0, 26, 0, 28, 0, -18, 0, 28, 0, -2, 0, -12, 0, 72, 0, 2, 0, 42, 0, -36, 0, 8, 0, 40, 0, 12, 0, -4, 0, 30, 0, -34, 0, 0, 0, 108, 0, 12, 0, -38, 0, -6, 0, 40, 0, -6, 0, 12, 0, -46, 0, -12, 0, 12, 0, -30, 0, 36, 0, 0, 0, -46, 0, 2, 0, 48, 0, 16, 0, -2, 0, -80, 0, 60, 0, 36, 0, 60, 0, 0, 0, 18, 0, -14, 0, 30, 0, 30, 0, -2, 0, -62, 0, 8, 0, 38, 0, -10, 0, 8, 0, -84, 0, 36, 0, -12, 0, 12, 0, 10, 0, -10, 0, 34, 0, 12, 0, 2, 0, -40, 0, 6, 0, 50, 0, 0, 0, 8, 0, 20, 0, 28, 0, 14, 0, -12, 0, 36, 0, -58, 0, -6, 0, -40, 0, 132, 0, 14, 0, -8, 0, 84, 0, -20, 0, -12, 0, 21, 0, -10, 0, -28, 0, 24, 0, -26, 0, -6, 0, -18, 0, 0, 0, -20, 0, 62, 0, -12, 0, 8, 0, 2, 0, -19, 0, -78, 0, 22, 0, 36, 0, -12, 0, 12, 0, 4, 0, -54, 0, -60, 0, 30, 0, -60, 0, -12, 0, -20, 0, -62, 0, -108, 0, -16, 0, -12, 0, 0, 0, -3, 0, -26, 0, -20, 0, 14, 0, 36, 0, -28, 0, -2, 0, -12, 0, 60, 0, 26, 0, -54, 0, -50, 0, 16, 0, 18, 0, 44, 0, 24, 0, 12, 0, 12, 0, 36, 0, 78, 0, 84, 0, 12, 0, 0, 0, 0, 0, 6, 0, 12, 0, -2, 0, -24, 0, -44, 0, -96, 0, -14, 0, -26, 0, 4, 0, -12, 0, -4, 0, 48, 0, 30, 0, 28, 0, -50, 0, -2, 0, 60, 0, -38, 0, 24, 0, 42, 0, 16, 0, 0, 0, 84, 0, -20, 0, -22, 0, 30, 0, 68, 0, -60, 0, -12, 0, -54, 0, 22, 0, -48, 0, 26, 0, -1, 0, 48, 0, 58, 0, 26, 0, 24, 0, 24, 0, 28, 0, 18, 0, -18, 0, 6, 0, -76, 0, 0, 0, -22, 0, 60, 0, 38, 0, -4, 0, -50, 0, 84, 0, -10, 0, 84, 0, 24, 0, -6, 0, -22, 0, -84, 0, 10, 0, -6, 0, -12, 0, 12, 0, -50, 0, -68, 0, 24, 0, 66, 0, 22, 0, 20, 0, 0, 0, -8, 0, 2, 0, 6, 0, 24, 0, -50, 0, -68, 0, -24, 0, 12, 0, 78, 0, -70, 0, -12, 0, -84, 0, 14, 0, 12, 0, 36, 0, 24, 0, 14, 0, 14, 0, 24, 0, -4, 0, -40, 0, -46, 0, 0, 0, -14, 0, -66, 0, -12, 0, -84, 0, -28, 0, 14, 0, 54, 0, 44, 0, -24, 0, 16, 0, 66, 0, 0, 0, 4, 0, -108, 0, -22, 0, -22, 0, 60, 0, -6, 0, 16, 0, -50, 0, 40, 0, 12, 0, 0, 0, 1, 0, -48, 0, -12, 0, -16, 0, 16, 0, 1, 0, 30, 0, -84, 0, -6, 0, -6, 0, 32, 0, -11, 0, -12, 0, 14, 0, -24, 0, -26, 0, -4, 0, 70, 0, -6, 0, -6, 0, 24, 0, -26, 0, 0, 0, 72, 0, 36, 0, 6, 0, -28, 0, 6, 0, 82, 0, 12, 0, 8, 0, 18, 0, 58, 0, 16, 0, 120, 0, -20, 0, -24, 0, -24, 0, 84, 0, -4, 0, 30, 0, -10, 0, 34, 0, -58, 0, 2, 0, 0, 0, -48, 0, 58, 0, 14, 0, -44, 0, 64, 0, -28, 0, -24, 0, -42, 0, -4, 0, 6, 0, -150, 0, -6, 0, 18, 0, 36, 0, -14, 0, 66, 0, -24, 0, -6, 0, 28, 0, -52, 0, 10, 0, 120, 0, 0, 0, 6, 0, 16, 0, 4, 0, 4, 0, 42, 0, 16, 0, 60, 0, -40, 0, -10, 0, -84, 0, -8, 0, 70, 0, 6, 0, 50, 0, -10, 0, -36, 0, 54, 0, -12, 0, -26, 0, -24, 0, -96, 0, 4, 0, 0, 0, 50, 0, -28, 0, 72, 0, -6, 0, 10, 0, 42, 0, -56, 0, -12, 0, -72, 0, 74, 0, -50, 0, -10, 0, -28, 0, 12, 0, -70, 0, -19, 0, 6, 0, -4, 0, 36, 0, 84, 0, -10, 0, 48, 0, 0, 0, -6, 0, 60, 0, 6, 0, 14, 0, 14, 0, -26, 0, -40, 0, 12, 0, 50, 0, 84, 0, -90, 0, 6, 0, -74, 0, -12, 0, 28, 0, 12, 0, 24, 0, -48, 0, 132, 0, 80, 0, -2, 0, -50, 0, 0, 0, -54, 0, -24, 0, 64, 0, -32, 0, -60, 0, 86, 0, 6, 0, -6, 0, -4, 0, 2, 0, -4, 0, -56, 0, 50, 0, 72, 0, 36, 0, -22, 0, -12, 0, -36, 0, 6, 0, -100, 0, -10, 0, -44, 0, 0, 0, -6, 0, -6, 0, -36, 0, 56, 0, 34, 0, 60, 0, -18, 0, 7, 0, 6, 0, -34, 0, 22, 0, 68, 0, -36, 0, 2, 0, -48, 0, 0, 0, -50, 0, -94, 0, 68, 0, -24, 0, -70, 0, -36, 0, 0, 0, 56, 0, -54, 0, -26, 0, 18, 0, -12, 0, -12, 0, 4, 0, 40, 0, 18, 0, -36, 0, 0, 0, -28, 0, -34, 0, 36, 0, 20, 0, 72, 0, 8, 0, -10, 0, 40, 0, 74, 0, 36, 0, 18, 0, 0, 0, -13, 0, 12, 0, -52, 0, 24, 0, 66, 0, 20, 0, 2, 0, -56, 0, 30, 0, -14, 0, -54, 0, 80, 0, 24, 0, -28, 0, -84, 0, -34, 0, 22, 0, 24, 0, -30, 0, -12, 0, -72, 0, -6, 0, -46, 0, 62, 0, -40, 0, 132, 0, 60, 0, -12, 0, 30, 0, 22, 0, -28, 0, -94, 0, -20, 0, 16, 0, 36, 0, -6, 0, -6, 0, 4, 0, -6, 0, 36, 0, 20, 0, 10, 0, 32, 0, 20, 0, -14, 0, 0, 0, 2, 0, 36, 0, -36, 0, -6, 0, 28, 0, 12, 0, -84, 0, -44, 0, -16, 0, -22, 0, -70, 0, -20, 0, 36, 0, 2, 0, -24, 0, -12, 0, -14, 0, -6, 0, -90, 0, -28, 0, -12, 0, 40, 0, 0, 0, -36, 0, 10, 0, -20, 0, 20, 0, -20, 0, -34, 0, 24, 0, 62, 0, -72, 0, -36, 0, -36, 0, 144, 0, 14, 0, 16, 0, 86, 0, 14, 0, -28, 0, 36, 0, 2, 0, 78, 0, -28, 0, 0, 0, 0, 0, 84, 0, -34, 0, 98, 0, -4, 0, 18, 0, 16, 0, -82, 0, -8, 0, 78, 0, 6, 0, 24, 0, 20, 0, -17, 0, 10, 0, -84, 0, 0, 0, 6, 0, -22, 0, 12, 0, 18, 0, -14, 0, 36, 0, 0, 0, -108, 0, -62, 0, -4, 0, -54, 0, 44, 0, 34, 0, 36, 0, 4, 0, -14, 0, -24, 0, -32, 0, 2, 0, 16, 0, -22, 0, 2, 0, -46, 0, 76, 0, -8, 0, -60, 0, 12, 0, -36, 0, -2, 0, 0, 0, 4, 0, 22, 0, 16, 0, 5, 0, -76, 0, 28, 0, -4, 0, 18, 0, -24, 0, -12, 0, -2, 0, -22, 0, -22, 0, -16, 0, -24, 0, 12, 0, 66, 0, -140, 0, -36, 0, 72, 0, 6, 0, -24, 0, 0, 0, 8, 0, -1, 0, 38, 0, -36, 0, 30, 0, 8, 0, -4, 0, -36, 0, -36, 0, -36, 0, 14, 0, 72, 0, 68, 0, 42, 0, 6, 0, 34, 0, 36, 0, 18, 0, -36, 0, 12, 0, -72, 0, 60, 0, 0, 0, -66, 0, 14, 0, -20, 0, -4, 0, -10, 0, 26, 0, -36, 0, 108, 0, 16, 0, 0, 0, -30, 0, 34, 0, 140, 0, -24, 0, -2, 0, -92, 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], [0.0, 0.0], [0.5773502691896257, 0.0], [0.0, 0.0], [0.8944271909999159, 0.0], [0.0, 0.0], [-0.7559289460184545, 0.0], [0.0, 0.0], [0.3333333333333333, 0.0], [0.0, 0.0], [-1.8090680674665818, 0.0], [0.0, 0.0], [0.2773500981126146, 0.0], [0.0, 0.0], [0.5163977794943223, 0.0], [0.0, 0.0], [-0.48507125007266594, 0.0], [0.0, 0.0], [-1.3764944032233706, 0.0], [0.0, 0.0], [-0.4364357804719848, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.2, 0.0], [0.0, 0.0], [0.19245008972987526, 0.0], [0.0, 0.0], [1.1141720290623112, 0.0], [0.0, 0.0], [-1.0776318121606494, 0.0], [0.0, 0.0], [-1.044465935734187, 0.0], [0.0, 0.0], [-0.6761234037828132, 0.0], [0.0, 0.0], [-0.3287979746107146, 0.0], [0.0, 0.0], [0.16012815380508713, 0.0], [0.0, 0.0], [-1.5617376188860606, 0.0], [0.0, 0.0], [1.2199885626608373, 0.0], [0.0, 0.0], [0.29814239699997197, 0.0], [0.0, 0.0], [-0.8751899489873673, 0.0], [0.0, 0.0], [-0.42857142857142855, 0.0], [0.0, 0.0], [-0.28005601680560194, 0.0], [0.0, 0.0], [-0.8241633836921342, 0.0], [0.0, 0.0], [-1.618079669911781, 0.0], [0.0, 0.0], [-0.7947194142390263, 0.0], [0.0, 0.0], [-0.7811334658849433, 0.0], [0.0, 0.0], [1.2803687993289596, 0.0], [0.0, 0.0], [-0.25197631533948484, 0.0], [0.0, 0.0], [0.2480694691784169, 0.0], [0.0, 0.0], [0.24433888871261045, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.6614943214713946, 0.0], [0.0, 0.0], [-1.638576060745828, 0.0], [0.0, 0.0], [-0.11547005383792515, 0.0], [0.0, 0.0], [1.3675269175156555, 0.0], [0.0, 0.0], [-0.4500351603704096, 0.0], [0.0, 0.0], [0.1111111111111111, 0.0], [0.0, 0.0], [0.658585559938142, 0.0], [0.0, 0.0], [-0.4338609156373123, 0.0], [0.0, 0.0], [0.6432675209026769, 0.0], [0.0, 0.0], [0.635998728003816, 0.0], [0.0, 0.0], [-0.20965696734438366, 0.0], [0.0, 0.0], [-0.6221710168382552, 0.0], [0.0, 0.0], [-1.231174022502185, 0.0], [0.0, 0.0], [-1.4214846311870666, 0.0], [0.0, 0.0], [-0.6030226891555273, 0.0], [0.0, 0.0]], 'angles': [None, None, -0.17620819117478337, -0.31168792860721245, -0.42989055049811414, None, -0.2889895651886847, -0.3708097759585889, -0.25, -0.15595968107605412, -0.3405640799124214, -0.2762842283556267, -0.39261164373863866, -0.1455858625861807, -0.32208480957574004, -0.31759908521341196, -0.3138604660378024, -0.13942896918815223, -0.23050743342333524, -0.09395676072004097, -0.40281551733883136, -0.28612197761895225, -0.19659484515154443, -0.19849450565556323, -0.37582040083723534, -0.298245004710895, -0.25, -0.280967204107095, -0.13304444816751249, -0.1355946523174732, -0.30774979649998657, -0.3378219795281495, -0.26361412101223053, -0.16502367742880467, -0.11804816014927243, -0.2629661839913462, -0.3775347429765604, -0.1576409660411811, -0.41206398712822595, -0.1300632548542617, -0.14799144387653287, -0.31060342350653003, -0.2731132534770979, -0.284641550415046, -0.13921358420014895, -0.20424349197669878, -0.3708495299488259, -0.38178837346347694, -0.21809631118757117, -0.30359338951156456, -0.23956594034755146, -0.17521394318449968, -0.375330197924895, -0.3867734482469744, -0.27996006893958214, -0.23032207425245335, -0.22072362969245293, -0.22083309113781857, -0.3649181358351553, -0.13608032899568479, -0.3764060355509147, -0.42000088429847143, -0.1845899481804706, -0.2864163228420012, -0.22288105447121462, -0.24105626133294106, -0.12331696727776033, -0.22387365183034713, -0.15981117880182721, -0.2243307503948174, -0.10284812074339605, -0.17122369625886097, -0.3374061610672707, -0.29167838870860985, -0.38999625544129296, -0.2911180756114334, -0.2256972380086931, -0.1928664745818281, -0.29016404283478514, -0.44435001798688323, -0.2655753046084643, -0.40541099178941914, -0.1611238552814249, -0.24234855448343218, -0.21942813547274084, -0.29600819264779593, -0.22739107719008606, -0.3360220430354469, -0.18116024960593305, -0.19726439693026096, -0.22036988413620082, -0.3018142722081562, -0.049718892322687155, -0.07083256420640466, -0.2714390396944513, -0.14270657992811922, -0.11417916851715133, -0.34643938479583164, -0.3548530552275998, -0.4292684859392455], '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': 26, 'hecke_orbit_code': 112589990717819328, 'label': '2496.2.a.z.1.1', 'level': 2496, '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': [6, 6, 8, 4, 6, 6, 4, 8], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [43, 50, 50, 46, 48, 48, 48, 44], 'Nk2': 9984, 'analytic_conductor': 19.930660344511583, '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': [2496, 1, [703, 1093, 833, 769], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 425, 'dim': 48, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11, 17, 19], 'hecke_orbit_code': 33556928, '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, 2, 2, 2, 2, 2, 2, 3, 3], 'label': '2496.2.a', 'level': 2496, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 13], 'level_radical': 78, 'mf_dim': 472, 'mf_new_dim': 48, 'num_forms': 38, 'plus_dim': 20, 'prim_orbit_index': 1, 'relative_dim': 48, 'sturm_bound': 896, 'trace_bound': 17, 'trace_display': [0, 0, 0, 0], 'traces': [48, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 48, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -96, 0, 0, 0, 32, 0, 0, 0, 64, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -64, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -64, 0, 0, 0, 32, 0, 0, 0, 48, 0, 0, 0, 96, 0, 0, 0, 32, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 32, 0, 0, 0, -32, 0, 0, 0, 32, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, -32, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -64, 0, 0, 0, 32, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -32, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, 64, 0, 0, 0, -160, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 48, 0, 0, 0, 64, 0, 0, 0, -128, 0, 0, 0, 128, 0, 0, 0, -32, 0, 0, 0, -192, 0, 0, 0, -96, 0, 0, 0, -32, 0, 0, 0, -192, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -288, 0, 0, 0, -64, 0, 0, 0, -160, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, -192, 0, 0, 0, 128, 0, 0, 0, -80, 0, 0, 0, -96, 0, 0, 0, 96, 0, 0, 0, -224, 0, 0, 0, -64, 0, 0, 0, 32, 0, 0, 0, 96, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, 256, 0, 0, 0, 32, 0, 0, 0, -96, 0, 0, 0, -128, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 192, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 32, 0, 0, 0, 288, 0, 0, 0, -256, 0, 0, 0, 32, 0, 0, 0, 208, 0, 0, 0, -64, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, -64, 0, 0, 0, 128, 0, 0, 0, -160, 0, 0, 0, -96, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 128, 0, 0, 0, 32, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, 192, 0, 0, 0, -96, 0, 0, 0, -160, 0, 0, 0, 352, 0, 0, 0, 48, 0, 0, 0, -64, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, -160, 0, 0, 0, 192, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, 96, 0, 0, 0, -64, 0, 0, 0, -64, 0, 0, 0, -64, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -96, 0, 0, 0, -96, 0, 0, 0, -96, 0, 0, 0, 32, 0, 0, 0, 64, 0, 0, 0, 32, 0, 0, 0, -256, 0, 0, 0, 32, 0, 0, 0, -32, 0, 0, 0, -32, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 256, 0, 0, 0, -96, 0, 0, 0, -32, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, 32, 0, 0, 0, 64, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 32, 0, 0, 0, -96, 0, 0, 0, 32, 0, 0, 0, -192, 0, 0, 0, 176, 0, 0, 0, 320, 0, 0, 0, -128, 0, 0, 0, 64, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, -32, 0, 0, 0, 64, 0, 0, 0, 64, 0, 0, 0, -160, 0, 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: 48563828
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 112589990717819328, 'source_is_minimal': False, 'source_label': '2496.2.a.z.1.1', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 112589990717819328, 'target_is_minimal': False, 'target_label': '2496.2.a.z.1.1', 'target_level': 2496, 'twist_class_label': '1248.2.a.a.1.1', 'twist_class_level': 1248, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48563829
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 112589990717819328, 'source_is_minimal': False, 'source_label': '2496.2.a.z.1.1', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595934637376, 'target_is_minimal': False, 'target_label': '7488.2.a.l.1.1', 'target_level': 7488, 'twist_class_label': '1248.2.a.a.1.1', 'twist_class_level': 1248, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48563830
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 112589990717819328, 'source_is_minimal': False, 'source_label': '2496.2.a.z.1.1', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043195562002880, 'target_is_minimal': False, 'target_label': '2496.2.a.m.1.1', 'target_level': 2496, 'twist_class_label': '1248.2.a.a.1.1', 'twist_class_level': 1248, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48563831
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 112589990717819328, 'source_is_minimal': False, 'source_label': '2496.2.a.z.1.1', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597797778656, 'target_is_minimal': True, 'target_label': '1248.2.a.g.1.1', 'target_level': 1248, 'twist_class_label': '1248.2.a.a.1.1', 'twist_class_level': 1248, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48563832
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 112589990717819328, 'source_is_minimal': False, 'source_label': '2496.2.a.z.1.1', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33555680, 'target_is_minimal': True, 'target_label': '1248.2.a.a.1.1', 'target_level': 1248, 'twist_class_label': '1248.2.a.a.1.1', 'twist_class_level': 1248, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48563833
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 112589990717819328, 'source_is_minimal': False, 'source_label': '2496.2.a.z.1.1', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 72057594071489856, 'target_is_minimal': False, 'target_label': '7488.2.a.q.1.1', 'target_level': 7488, 'twist_class_label': '1248.2.a.a.1.1', 'twist_class_level': 1248, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48563834
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 112589990717819328, 'source_is_minimal': False, 'source_label': '2496.2.a.z.1.1', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996307263136, 'target_is_minimal': False, 'target_label': '3744.2.a.k.1.1', 'target_level': 3744, 'twist_class_label': '1248.2.a.a.1.1', 'twist_class_level': 1248, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48563835
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 112589990717819328, 'source_is_minimal': False, 'source_label': '2496.2.a.z.1.1', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444115616, 'target_is_minimal': False, 'target_label': '3744.2.a.p.1.1', 'target_level': 3744, 'twist_class_label': '1248.2.a.a.1.1', 'twist_class_level': 1248, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2692450
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 2}
  • id: 2692451
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 3}
  • id: 2692452
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 5}
  • id: 2692453
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 7}
  • id: 2692454
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 11}
  • id: 2692455
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 13}
  • id: 2692456
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 17}
  • id: 2692457
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 19}
  • id: 2692458
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 23}
  • id: 2692459
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 29}
  • id: 2692460
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 31}
  • id: 2692461
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 37}
  • id: 2692462
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 41}
  • id: 2692463
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 43}
  • id: 2692464
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 47}
  • id: 2692465
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 53}
  • id: 2692466
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 59}
  • id: 2692467
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 61}
  • id: 2692468
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 67}
  • id: 2692469
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 71}
  • id: 2692470
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 73}
  • id: 2692471
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 79}
  • id: 2692472
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 83}
  • id: 2692473
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 112589990717819328, 'p': 89}
  • id: 2692474
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 112589990717819328, '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': 26, 'label': '2496.2.a.z', 'level': 2496, '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: 66737611
    {'hecke_orbit_code': 112589990717819328, 'n': 1, 'trace_an': 1}
  • id: 66737612
    {'hecke_orbit_code': 112589990717819328, 'n': 2, 'trace_an': 0}
  • id: 66737613
    {'hecke_orbit_code': 112589990717819328, 'n': 3, 'trace_an': 1}
  • id: 66737614
    {'hecke_orbit_code': 112589990717819328, 'n': 4, 'trace_an': 0}
  • id: 66737615
    {'hecke_orbit_code': 112589990717819328, 'n': 5, 'trace_an': 2}
  • id: 66737616
    {'hecke_orbit_code': 112589990717819328, 'n': 6, 'trace_an': 0}
  • id: 66737617
    {'hecke_orbit_code': 112589990717819328, 'n': 7, 'trace_an': -2}
  • id: 66737618
    {'hecke_orbit_code': 112589990717819328, 'n': 8, 'trace_an': 0}
  • id: 66737619
    {'hecke_orbit_code': 112589990717819328, 'n': 9, 'trace_an': 1}
  • id: 66737620
    {'hecke_orbit_code': 112589990717819328, 'n': 10, 'trace_an': 0}
  • id: 66737621
    {'hecke_orbit_code': 112589990717819328, 'n': 11, 'trace_an': -6}
  • id: 66737622
    {'hecke_orbit_code': 112589990717819328, 'n': 12, 'trace_an': 0}
  • id: 66737623
    {'hecke_orbit_code': 112589990717819328, 'n': 13, 'trace_an': 1}
  • id: 66737624
    {'hecke_orbit_code': 112589990717819328, 'n': 14, 'trace_an': 0}
  • id: 66737625
    {'hecke_orbit_code': 112589990717819328, 'n': 15, 'trace_an': 2}
  • id: 66737626
    {'hecke_orbit_code': 112589990717819328, 'n': 16, 'trace_an': 0}
  • id: 66737627
    {'hecke_orbit_code': 112589990717819328, 'n': 17, 'trace_an': -2}
  • id: 66737628
    {'hecke_orbit_code': 112589990717819328, 'n': 18, 'trace_an': 0}
  • id: 66737629
    {'hecke_orbit_code': 112589990717819328, 'n': 19, 'trace_an': -6}
  • id: 66737630
    {'hecke_orbit_code': 112589990717819328, 'n': 20, 'trace_an': 0}
  • id: 66737631
    {'hecke_orbit_code': 112589990717819328, 'n': 21, 'trace_an': -2}
  • id: 66737632
    {'hecke_orbit_code': 112589990717819328, 'n': 22, 'trace_an': 0}
  • id: 66737633
    {'hecke_orbit_code': 112589990717819328, 'n': 23, 'trace_an': 0}
  • id: 66737634
    {'hecke_orbit_code': 112589990717819328, 'n': 24, 'trace_an': 0}
  • id: 66737635
    {'hecke_orbit_code': 112589990717819328, 'n': 25, 'trace_an': -1}
  • id: 66737636
    {'hecke_orbit_code': 112589990717819328, 'n': 26, 'trace_an': 0}
  • id: 66737637
    {'hecke_orbit_code': 112589990717819328, 'n': 27, 'trace_an': 1}
  • id: 66737638
    {'hecke_orbit_code': 112589990717819328, 'n': 28, 'trace_an': 0}
  • id: 66737639
    {'hecke_orbit_code': 112589990717819328, 'n': 29, 'trace_an': 6}
  • id: 66737640
    {'hecke_orbit_code': 112589990717819328, 'n': 30, 'trace_an': 0}
  • id: 66737641
    {'hecke_orbit_code': 112589990717819328, 'n': 31, 'trace_an': -6}
  • id: 66737642
    {'hecke_orbit_code': 112589990717819328, 'n': 32, 'trace_an': 0}
  • id: 66737643
    {'hecke_orbit_code': 112589990717819328, 'n': 33, 'trace_an': -6}
  • id: 66737644
    {'hecke_orbit_code': 112589990717819328, 'n': 34, 'trace_an': 0}
  • id: 66737645
    {'hecke_orbit_code': 112589990717819328, 'n': 35, 'trace_an': -4}
  • id: 66737646
    {'hecke_orbit_code': 112589990717819328, 'n': 36, 'trace_an': 0}
  • id: 66737647
    {'hecke_orbit_code': 112589990717819328, 'n': 37, 'trace_an': -2}
  • id: 66737648
    {'hecke_orbit_code': 112589990717819328, 'n': 38, 'trace_an': 0}
  • id: 66737649
    {'hecke_orbit_code': 112589990717819328, 'n': 39, 'trace_an': 1}
  • id: 66737650
    {'hecke_orbit_code': 112589990717819328, 'n': 40, 'trace_an': 0}
  • id: 66737651
    {'hecke_orbit_code': 112589990717819328, 'n': 41, 'trace_an': -10}
  • id: 66737652
    {'hecke_orbit_code': 112589990717819328, 'n': 42, 'trace_an': 0}
  • id: 66737653
    {'hecke_orbit_code': 112589990717819328, 'n': 43, 'trace_an': 8}
  • id: 66737654
    {'hecke_orbit_code': 112589990717819328, 'n': 44, 'trace_an': 0}
  • id: 66737655
    {'hecke_orbit_code': 112589990717819328, 'n': 45, 'trace_an': 2}
  • id: 66737656
    {'hecke_orbit_code': 112589990717819328, 'n': 46, 'trace_an': 0}
  • id: 66737657
    {'hecke_orbit_code': 112589990717819328, 'n': 47, 'trace_an': -6}
  • id: 66737658
    {'hecke_orbit_code': 112589990717819328, 'n': 48, 'trace_an': 0}
  • id: 66737659
    {'hecke_orbit_code': 112589990717819328, 'n': 49, 'trace_an': -3}
  • id: 66737660
    {'hecke_orbit_code': 112589990717819328, 'n': 50, 'trace_an': 0}
  • id: 66737661
    {'hecke_orbit_code': 112589990717819328, 'n': 51, 'trace_an': -2}
  • id: 66737662
    {'hecke_orbit_code': 112589990717819328, 'n': 52, 'trace_an': 0}
  • id: 66737663
    {'hecke_orbit_code': 112589990717819328, 'n': 53, 'trace_an': -6}
  • id: 66737664
    {'hecke_orbit_code': 112589990717819328, 'n': 54, 'trace_an': 0}
  • id: 66737665
    {'hecke_orbit_code': 112589990717819328, 'n': 55, 'trace_an': -12}
  • id: 66737666
    {'hecke_orbit_code': 112589990717819328, 'n': 56, 'trace_an': 0}
  • id: 66737667
    {'hecke_orbit_code': 112589990717819328, 'n': 57, 'trace_an': -6}
  • id: 66737668
    {'hecke_orbit_code': 112589990717819328, 'n': 58, 'trace_an': 0}
  • id: 66737669
    {'hecke_orbit_code': 112589990717819328, 'n': 59, 'trace_an': -6}
  • id: 66737670
    {'hecke_orbit_code': 112589990717819328, 'n': 60, 'trace_an': 0}
  • id: 66737671
    {'hecke_orbit_code': 112589990717819328, 'n': 61, 'trace_an': 10}
  • id: 66737672
    {'hecke_orbit_code': 112589990717819328, 'n': 62, 'trace_an': 0}
  • id: 66737673
    {'hecke_orbit_code': 112589990717819328, 'n': 63, 'trace_an': -2}
  • id: 66737674
    {'hecke_orbit_code': 112589990717819328, 'n': 64, 'trace_an': 0}
  • id: 66737675
    {'hecke_orbit_code': 112589990717819328, 'n': 65, 'trace_an': 2}
  • id: 66737676
    {'hecke_orbit_code': 112589990717819328, 'n': 66, 'trace_an': 0}
  • id: 66737677
    {'hecke_orbit_code': 112589990717819328, 'n': 67, 'trace_an': 2}
  • id: 66737678
    {'hecke_orbit_code': 112589990717819328, 'n': 68, 'trace_an': 0}
  • id: 66737679
    {'hecke_orbit_code': 112589990717819328, 'n': 69, 'trace_an': 0}
  • id: 66737680
    {'hecke_orbit_code': 112589990717819328, 'n': 70, 'trace_an': 0}
  • id: 66737681
    {'hecke_orbit_code': 112589990717819328, 'n': 71, 'trace_an': 14}
  • id: 66737682
    {'hecke_orbit_code': 112589990717819328, 'n': 72, 'trace_an': 0}
  • id: 66737683
    {'hecke_orbit_code': 112589990717819328, 'n': 73, 'trace_an': -14}
  • id: 66737684
    {'hecke_orbit_code': 112589990717819328, 'n': 74, 'trace_an': 0}
  • id: 66737685
    {'hecke_orbit_code': 112589990717819328, 'n': 75, 'trace_an': -1}
  • id: 66737686
    {'hecke_orbit_code': 112589990717819328, 'n': 76, 'trace_an': 0}
  • id: 66737687
    {'hecke_orbit_code': 112589990717819328, 'n': 77, 'trace_an': 12}
  • id: 66737688
    {'hecke_orbit_code': 112589990717819328, 'n': 78, 'trace_an': 0}
  • id: 66737689
    {'hecke_orbit_code': 112589990717819328, 'n': 79, 'trace_an': -4}
  • id: 66737690
    {'hecke_orbit_code': 112589990717819328, 'n': 80, 'trace_an': 0}
  • id: 66737691
    {'hecke_orbit_code': 112589990717819328, 'n': 81, 'trace_an': 1}
  • id: 66737692
    {'hecke_orbit_code': 112589990717819328, 'n': 82, 'trace_an': 0}
  • id: 66737693
    {'hecke_orbit_code': 112589990717819328, 'n': 83, 'trace_an': 6}
  • id: 66737694
    {'hecke_orbit_code': 112589990717819328, 'n': 84, 'trace_an': 0}
  • id: 66737695
    {'hecke_orbit_code': 112589990717819328, 'n': 85, 'trace_an': -4}
  • id: 66737696
    {'hecke_orbit_code': 112589990717819328, 'n': 86, 'trace_an': 0}
  • id: 66737697
    {'hecke_orbit_code': 112589990717819328, 'n': 87, 'trace_an': 6}
  • id: 66737698
    {'hecke_orbit_code': 112589990717819328, 'n': 88, 'trace_an': 0}
  • id: 66737699
    {'hecke_orbit_code': 112589990717819328, 'n': 89, 'trace_an': 6}
  • id: 66737700
    {'hecke_orbit_code': 112589990717819328, 'n': 90, 'trace_an': 0}
  • id: 66737701
    {'hecke_orbit_code': 112589990717819328, 'n': 91, 'trace_an': -2}
  • id: 66737702
    {'hecke_orbit_code': 112589990717819328, 'n': 92, 'trace_an': 0}
  • id: 66737703
    {'hecke_orbit_code': 112589990717819328, 'n': 93, 'trace_an': -6}
  • id: 66737704
    {'hecke_orbit_code': 112589990717819328, 'n': 94, 'trace_an': 0}
  • id: 66737705
    {'hecke_orbit_code': 112589990717819328, 'n': 95, 'trace_an': -12}
  • id: 66737706
    {'hecke_orbit_code': 112589990717819328, 'n': 96, 'trace_an': 0}
  • id: 66737707
    {'hecke_orbit_code': 112589990717819328, 'n': 97, 'trace_an': -14}
  • id: 66737708
    {'hecke_orbit_code': 112589990717819328, 'n': 98, 'trace_an': 0}
  • id: 66737709
    {'hecke_orbit_code': 112589990717819328, 'n': 99, 'trace_an': -6}
  • id: 66737710
    {'hecke_orbit_code': 112589990717819328, 'n': 100, 'trace_an': 0}