Embedded newform data - 7616.2.a.i.1.1

Formats: - HTML - YAML - JSON - 2026-10-11T20:28:19.242162

• 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': 30464, 'analytic_conductor': 60.81406617940714, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [7, 1], [17, 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': [7616, 1, [5951, 3333, 3265, 2689], [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': [[3, [-2, 1]], [5, [4, 1]], [11, [4, 1]], [19, [6, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797052526016, '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': '7616.2.a.i', 'level': 7616, '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, 7, 17], 'level_radical': 238, 'minimal_twist': '238.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2q^{3}-4q^{5}-q^{7}+q^{9}-4q^{11}+\\cdots', 'related_objects': ['EllipticCurve/Q/7616/i'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '7616.2.a', 'trace_display': [0, 2, -4, -1], 'trace_hash': 1358376445845743587, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.047', 'prec': 7}, {'__RealLiteral__': 0, 'data': '0.998', 'prec': 10}, {'__RealLiteral__': 0, 'data': '0.037', 'prec': 7}, {'__RealLiteral__': 0, 'data': '2.037', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.050', 'prec': 7}, {'__RealLiteral__': 0, 'data': '5.195', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.026', 'prec': 7}, 'traces': [1, 0, 2, 0, -4, 0, -1, 0, 1, 0, -4, 0, 4, 0, -8, 0, -1, 0, -6, 0, -2, 0, 0, 0, 11, 0, -4, 0, -6, 0, -4, 0, -8, 0, 4, 0, 10, 0, 8, 0, 6, 0, 0, 0, -4, 0, -4, 0, 1, 0, -2, 0, -14, 0, 16, 0, -12, 0, -6, 0, 12, 0, -1, 0, -16, 0, 4, 0, 0, 0, 8, 0, 2, 0, 22, 0, 4, 0, 0, 0, -11, 0, 10, 0, 4, 0, -12, 0, 10, 0, -4, 0, -8, 0, 24, 0, 6, 0, -4, 0, -16, 0, 4, 0, 8, 0, 0, 0, 2, 0, 20, 0, 14, 0, 0, 0, 4, 0, 1, 0, 5, 0, 12, 0, -24, 0, 8, 0, 0, 0, -18, 0, 6, 0, 16, 0, 2, 0, 10, 0, -8, 0, -16, 0, 24, 0, 2, 0, 2, 0, 16, 0, -1, 0, 16, 0, -4, 0, -28, 0, 0, 0, 4, 0, 32, 0, 20, 0, 3, 0, -6, 0, 8, 0, -11, 0, -12, 0, -12, 0, 0, 0, 24, 0, -40, 0, 4, 0, 4, 0, 24, 0, -2, 0, -32, 0, -2, 0, -28, 0, 8, 0, 6, 0, -24, 0, 0, 0, 24, 0, -8, 0, 16, 0, 0, 0, 4, 0, 4, 0, -4, 0, -24, 0, 11, 0, -2, 0, 28, 0, 8, 0, 26, 0, 16, 0, 0, 0, 8, 0, -2, 0, -10, 0, -4, 0, -24, 0, 20, 0, 14, 0, 0, 0, 8, 0, -6, 0, -10, 0, -6, 0, -24, 0, 56, 0, 20, 0, 24, 0, 0, 0, -8, 0, -44, 0, -18, 0, -4, 0, -6, 0, 14, 0, 48, 0, -6, 0, 1, 0, 12, 0, 0, 0, 24, 0, 16, 0, 0, 0, 0, 0, -32, 0, -48, 0, 10, 0, 8, 0, -8, 0, 6, 0, 4, 0, 22, 0, 24, 0, 0, 0, 6, 0, 44, 0, 4, 0, 4, 0, 0, 0, 10, 0, -16, 0, 22, 0, 28, 0, 16, 0, -1, 0, 0, 0, 12, 0, -20, 0, -16, 0, 26, 0, -32, 0, 2, 0, -24, 0, 17, 0, 10, 0, -8, 0, 24, 0, 6, 0, 14, 0, 10, 0, -48, 0, -24, 0, -4, 0, 16, 0, -4, 0, -16, 0, 0, 0, 30, 0, 0, 0, -36, 0, 0, 0, 16, 0, 12, 0, -18, 0, -16, 0, 44, 0, -40, 0, -26, 0, 4, 0, 6, 0, -40, 0, 20, 0, 18, 0, 18, 0, -4, 0, -11, 0, -12, 0, -32, 0, 8, 0, -34, 0, 48, 0, 0, 0, -40, 0, 1, 0, 12, 0, -40, 0, 4, 0, 10, 0, -24, 0, 32, 0, 16, 0, 22, 0, 4, 0, 20, 0, 40, 0, 32, 0, 18, 0, -4, 0, -8, 0, 0, 0, -66, 0, -14, 0, -4, 0, 40, 0, 0, 0, -24, 0, 32, 0, 8, 0, -28, 0, 6, 0, 16, 0, -8, 0, -24, 0, 40, 0, 16, 0, 64, 0, 6, 0, -12, 0, -2, 0, 24, 0, -16, 0, 16, 0, 16, 0, 14, 0, 34, 0, -22, 0, 4, 0, -23, 0, -6, 0, 24, 0, 0, 0, -24, 0, -4, 0, -26, 0, 0, 0, -8, 0, -4, 0, 12, 0, 36, 0, 0, 0, -80, 0, 18, 0, 0, 0, 8, 0, 14, 0, -56, 0, 11, 0, -26, 0, 36, 0, 48, 0, 0, 0, -22, 0, -4, 0, -10, 0, 56, 0, -16, 0, -18, 0, 24, 0, -4, 0, -6, 0, -4, 0, -56, 0, -32, 0, 2, 0, 4, 0, -20, 0, -16, 0, 12, 0, -16, 0, 14, 0, -48, 0, 14, 0, -26, 0, 0, 0, -10, 0, 41, 0, 48, 0, -10, 0, -16, 0, -16, 0, -32, 0, 4, 0, 8, 0, -18, 0, 34, 0, 0, 0, -36, 0, 24, 0, 8, 0, -14, 0, 72, 0, 2, 0, -24, 0, -24, 0, -8, 0, -24, 0, 0, 0, -48, 0, -48, 0, -30, 0, -44, 0, -16, 0, -6, 0, -4, 0, -16, 0, -8, 0, 56, 0, -56, 0, 6, 0, 4, 0, -40, 0, -6, 0, 52, 0, -42, 0, -60, 0, 32, 0, 16, 0, 2, 0, 0, 0, 0, 0, 64, 0, 16, 0, -36, 0, -4, 0, -4, 0, -66, 0, -12, 0, 13, 0, 0, 0, 24, 0, -8, 0, -16, 0, 0, 0, -48, 0, 48, 0, -8, 0, 10, 0, 0, 0, 40, 0, 28, 0, -64, 0, 30, 0, 0, 0, -10, 0, -2, 0, 4, 0, -24, 0, -26, 0, -12, 0, -32, 0, -44, 0, -20, 0, -36, 0, -32, 0, 24, 0, 16, 0, -10, 0, -48, 0, -14, 0, 48, 0, 112, 0, 28, 0, 4, 0, 10, 0, -8, 0, 0, 0, 48, 0, -26, 0, -26, 0, 0, 0, -16, 0, 0, 0, -4, 0, 54, 0, -32, 0, -88, 0, -8, 0, -16, 0, -36, 0, -1, 0, -80, 0, 16, 0, -52, 0, 7, 0, -12, 0, -12, 0, -5, 0, 28, 0, 0, 0, -16, 0, 24, 0, 30, 0, 30, 0, -12, 0, -16, 0, -32, 0, 2, 0, 0, 0, 16, 0, 6, 0, 24, 0, 26, 0, 0, 0, 50, 0, -4, 0, 48, 0, 12, 0, -8, 0, 44, 0, 24, 0, 48, 0, 0, 0, 24, 0, 14, 0, 0, 0, 0, 0, -8, 0, -16, 0, 24, 0, -40, 0, -96, 0, 18, 0, 8, 0, 20, 0, 32, 0, 110, 0, 4, 0, -50, 0, -6, 0, -16, 0, -16, 0, 10, 0, 12, 0, 12, 0, 0, 0, -16, 0, -4, 0, 8, 0, 44, 0, 26, 0, -96, 0, 48, 0, -2, 0, -15, 0, 0, 0, 8, 0, -32, 0, 12, 0, 10, 0, -10, 0, 88, 0, -54, 0, -40, 0, 2, 0, 28, 0, 8, 0, 8, 0, 0, 0, 24, 0, 0, 0, 112, 0, 28, 0, -40, 0, 16, 0, 6, 0, -32, 0, 84, 0, -2, 0, 44, 0, -24, 0, -24, 0, 14, 0, 4, 0, 4, 0, 32, 0, 66, 0, 0, 0, -2, 0, -16, 0, 58, 0, 0, 0, -12, 0, 4, 0, 24, 0, -2, 0, -96, 0, -40, 0, 2, 0, -8, 0, -44, 0, 32, 0, -16, 0, 52, 0, -22, 0, 16, 0, -64, 0, -24, 0, 0, 0, 1, 0, -60, 0, 0, 0, -48, 0, 40, 0, 0, 0, 34, 0, -16, 0, 16, 0, 5, 0, -6, 0, 2, 0, -16, 0, -6, 0, 4, 0, 48, 0, -24, 0, 16, 0, -24, 0, -52, 0, 64, 0, 28, 0, 96, 0, -18, 0, 20, 0, 36, 0, 10, 0, -24, 0, 0, 0, 10, 0, -48, 0, -16, 0, 8, 0, -8, 0, -4, 0, -4, 0, 8, 0, -112, 0, -40, 0, -8, 0, 4, 0, -6, 0, -32, 0, 40, 0, -72, 0, 0, 0, 56, 0, -104, 0, 60, 0, -20, 0, -12, 0, 0, 0, -44, 0, 0, 0, -18, 0, 28, 0, -3, 0, 0, 0, 0, 0, -36, 0, 32, 0, 10, 0, -32, 0, 6, 0, -8, 0, 54, 0, -36, 0, 8, 0, -8, 0, -32, 0, -8, 0, 50, 0, 40, 0, 18, 0, 0, 0, -80, 0, -8, 0, 11, 0, -52, 0, 30, 0, -60, 0, 2, 0, 96, 0, 16, 0, 12, 0, -2, 0, -56, 0, -80, 0, 0, 0, 2, 0, 10, 0, 12, 0, -56, 0, 36, 0, -54, 0, 24, 0, 36, 0, 0, 0, 0, 0, 16, 0, -24, 0, -24, 0, -22, 0, 16, 0, -52, 0, -24, 0, -16, 0, 24, 0, -16, 0, 54, 0, 14, 0, 16, 0, 40, 0, -2, 0, -68, 0, 40, 0, 16, 0, 24, 0, 18, 0, -4, 0, 0, 0, -64, 0, 96, 0, -80, 0, 24, 0, 22, 0, -4, 0, -154, 0, -8, 0, 24, 0, 24, 0, 0, 0, -80, 0, -24, 0, 16, 0, 2, 0, 0, 0, -96, 0, 20, 0, -48, 0, 2, 0, -48, 0, 0, 0, 0, 0, 16, 0, -2, 0, 24, 0, 32, 0, 8, 0, 63, 0, 44, 0, 6, 0, 96, 0, 11, 0, 2, 0, 38, 0, 40, 0, 72, 0, -12, 0, 80, 0, 0, 0, 28, 0, 16, 0, -32, 0, 56, 0, 36, 0, 0, 0, 24, 0, -8, 0, -14, 0, -10, 0, -4, 0, -56, 0, 8, 0, 0, 0, -6, 0, 32, 0, -132, 0, -46, 0, 62, 0, 56, 0, 42, 0, 24, 0, -8, 0, 24, 0, 72, 0, 80, 0, -4, 0, 16, 0, 0, 0, 68, 0, 54, 0, -48, 0, 16, 0, -54, 0, 64, 0, -24, 0, 0, 0, 4, 0, 56, 0, -64, 0, -56, 0, -66, 0, 8, 0, 12, 0, 58, 0, 2, 0, -64, 0, 48, 0, -10, 0, -16, 0, 14, 0, 0, 0, -48, 0, 40, 0, 0, 0, 20, 0, 0, 0, -8, 0, 32, 0, 0, 0, -10, 0, 128, 0, 60, 0, -4, 0, 3, 0, 60, 0, 132, 0, -24, 0, -40, 0, -38, 0, -4, 0, -40, 0, 84, 0, 66, 0, 0, 0, -16, 0, -32, 0, 4, 0, -14, 0, 32, 0, 42, 0, 32, 0, 8, 0, -60, 0, 24, 0, 28, 0, -24, 0, 32, 0, 68, 0, -34, 0, 20, 0, -11, 0, -60, 0, -64, 0, 8, 0, 32, 0, -88, 0, -46, 0, 2, 0, 0, 0, 24, 0, -96, 0, -6, 0, 48, 0, 34, 0, -28, 0, 0, 0, 24, 0, 50, 0, -12, 0, -48, 0, -24, 0, -8, 0, 12, 0, -62, 0, -52, 0, -96, 0, 74, 0, 0, 0, -26, 0, 0, 0, -16, 0, -28, 0, -8, 0, -8, 0, 56, 0, -16, 0, -48, 0, -6, 0, 32, 0, 72, 0, 0, 0, -74, 0, 0, 0, -64, 0, 16, 0, -40, 0, 16, 0, 4, 0, 36, 0, -8, 0, 44, 0, 0, 0, 0, 0, -5, 0, 4, 0, -88, 0, 2, 0, 28, 0, -60, 0, 4, 0, -112, 0, -74, 0, -74, 0, 10, 0, -72, 0, -64, 0, -52, 0, 18, 0, 36, 0, 72, 0, 4, 0, 16, 0, 24, 0, 50, 0, 64, 0, 0, 0, 16, 0, 24, 0, -44, 0, 54, 0, -48, 0, -2, 0, -40, 0, 8, 0, -20, 0, 80, 0, 72, 0, 112, 0, -4, 0, 18, 0, 64, 0, -14, 0, -64, 0, -36, 0, 0, 0, -104, 0, 48, 0, -72, 0, 0, 0, -2, 0, 88, 0, 42, 0, -12, 0, 8, 0, -16, 0, -8, 0, -16, 0, -14, 0, -28, 0, -16, 0, 96, 0, -64, 0, 6, 0, 46, 0, 4, 0, -68, 0, 40, 0, -16, 0, -6, 0, 10, 0, -40, 0, 0, 0, 0, 0, -32, 0, 24, 0, 22, 0, 6, 0, 24, 0, 56, 0, -32, 0, -96, 0, -80, 0, 28, 0, 24, 0, -36, 0, -24, 0, -68, 0, -43, 0, 28, 0, -2, 0, -56, 0, -52, 0, -12, 0, 8, 0, 0, 0, -40, 0, 14, 0, -20, 0, 40, 0, -38, 0, 82, 0, -82, 0, 4, 0, 24, 0, -24, 0, 96, 0, -20, 0, -30, 0, -48, 0, -32, 0, 16, 0, 0, 0, -8, 0, 6, 0, -32, 0, -64, 0, 78, 0, 0, 0, 8, 0, -26, 0, 16, 0, -32, 0, 96, 0, -14, 0, -36, 0, 44, 0, -24, 0, 68, 0, -74, 0, 62, 0, 0, 0, 8, 0, 18, 0, -72, 0, -24, 0, -120, 0, 48, 0, 56, 0, 0, 0, 4, 0, 0, 0, -24, 0, -28, 0, -140, 0, 64, 0, 144, 0, 6, 0, 48, 0, -8, 0, -68, 0, 0, 0, -48, 0, -70, 0, -14, 0, -48, 0, -64, 0, -2, 0, -4, 0, 0, 0, -34, 0, -48, 0, -2, 0, -32, 0, 0, 0, -84, 0, 72, 0, -24, 0, 6, 0, -44, 0, -96, 0, 64, 0, 82, 0, -60, 0, 0, 0, -1, 0, -121, 0, 24, 0, -44, 0, -32, 0, 0, 0, 160, 0, -12, 0, 56, 0, -16, 0, -2, 0, 104, 0, 0, 0, -32, 0, 0, 0, 58, 0, -16, 0, -5, 0, -48, 0, 28, 0, 8, 0, -24, 0, -112, 0, 66, 0, -12, 0, 12, 0, 110, 0, -16, 0, -16, 0, 18, 0, -32, 0, -80, 0, 8, 0, 34, 0, -12, 0, 0, 0, -72, 0, 26, 0, -42, 0, -96, 0, -84, 0, -72, 0, 0, 0, -120, 0, 48, 0, -38, 0, 16, 0, -12, 0, 16, 0, 32, 0, 8, 0, 24, 0, 4, 0, 34, 0, -30, 0, 0, 0, 48, 0, -70, 0, 0, 0, 0, 0, 48, 0, 128, 0, -84, 0, -10, 0, 8, 0, 22, 0, -32, 0, -72, 0, -8, 0, 30, 0, -8, 0, 136, 0, 8, 0, -2, 0, 80, 0, -84, 0, -132, 0, 8, 0, 92, 0, -24, 0, -60, 0, 0, 0, 56, 0, 112, 0, -6, 0, 0, 0, 160, 0, -40, 0, 48, 0, -32, 0, -10, 0, -4, 0, -32, 0, -31, 0, -32, 0, -78, 0, -48, 0, 0, 0, -22, 0, 14, 0, -24, 0, 110, 0, 18, 0, 96, 0, 0, 0, -24, 0, -16, 0, 42, 0, -44, 0, -40, 0, -66, 0, -40, 0, 0, 0, 32, 0, 16, 0, 80, 0, 96, 0, 120, 0, 14, 0, -6, 0, -8, 0, -128, 0, 6, 0, 70, 0, 60, 0, 34, 0, -44, 0, 0, 0, 0, 0, -38, 0, -20, 0, -88, 0, 28, 0, -4, 0, 0, 0, 26, 0, -16, 0, 54, 0, -30, 0, -48, 0, -4, 0, -80, 0, -52, 0, 48, 0, 8, 0, -6, 0, -160, 0, 0, 0, -64, 0, 32, 0, 0, 0, -88, 0, -48, 0, -2, 0, -10, 0, 54, 0, -72, 0, -72, 0, -36, 0, -16, 0, -64, 0, 16, 0, 88, 0, 66, 0, 8, 0, 0, 0, 32, 0, -52, 0, -22, 0, -20, 0, -10, 0, 0, 0, -24, 0, 0, 0, 62, 0, -28, 0, 144, 0, 34, 0, 96, 0, 2, 0, -44, 0, 56, 0, -16, 0, -62, 0, 56, 0, -54, 0, 16, 0, 8, 0, 4, 0, 1, 0, -40, 0, -160, 0, -60, 0, -16, 0, 46, 0, -48, 0, 0, 0, -54, 0, -36, 0, 24, 0, -88, 0, 66, 0, -52, 0, -12, 0, 16, 0, -52, 0, -128, 0, -82, 0, 0, 0, 98, 0, 20, 0, -32, 0, -48, 0, 0, 0, 0, 0, 96, 0, 112, 0, 16, 0, 0, 0, 0, 0, 108, 0, -24, 0, 42, 0, -64, 0, -26, 0, 22, 0, -44, 0, -24, 0, 40, 0, -16, 0, 96, 0, 32, 0, -32, 0, 108, 0, 56, 0, -18, 0, 96, 0, 8, 0, -2, 0, 72, 0, 96, 0, -160, 0, 0, 0, -8, 0, 44, 0, 24, 0, -64, 0, -104, 0, -112, 0, -10, 0, 14, 0, -176, 0, -17, 0, -6, 0, 12, 0, -2, 0, -24, 0, 0, 0, -46, 0, -10, 0, -24, 0, 48, 0, 14, 0, -54, 0, 40, 0, 0, 0, 8, 0, 62, 0, -32, 0, -8, 0, -104, 0, -96, 0, -16, 0, -24, 0, 60, 0, -40, 0, 44, 0, 60, 0, 6, 0, -60, 0, -6, 0, -64, 0, -112, 0, -32, 0, -64, 0, -78, 0, -64, 0, -14, 0, 0, 0, 1, 0, -12, 0, -56, 0, 0, 0, 30, 0, -10, 0, 32, 0, -136, 0, 14, 0, -24, 0, 24, 0, 0, 0, 48, 0, 80, 0, -32, 0, 52, 0, 6, 0, -16, 0, 0, 0, 24, 0, -60, 0, 100, 0, 92, 0, 48, 0, -8, 0, 8, 0, 4, 0, 24, 0, 34, 0, 74, 0, 24, 0, 8, 0, -96, 0, -16, 0, 4, 0, -80, 0, 40, 0, 0, 0, 72, 0, 48, 0, 4, 0, -64, 0, 96, 0, 60, 0, 22, 0, 0, 0, 20, 0, 16, 0, 48, 0, 28, 0, 20, 0, 28, 0, 104, 0, 30, 0, 0, 0, 0, 0, 58, 0, 0, 0, 96, 0, -28, 0, -16, 0, -30, 0, 22, 0, 64, 0, -18, 0, 72, 0, 48, 0, 16, 0, 0, 0, -80, 0, -58, 0, -32, 0, -48, 0, 24, 0, 44, 0, 36, 0, 18, 0, -144, 0, 16, 0, -40, 0, -56, 0, 10, 0, 0, 0, -24, 0, 64, 0, -4, 0, 24, 0, 220, 0, 70, 0, -16, 0, -16, 0, 0, 0, -72, 0, -100, 0, 28, 0, -68, 0, -12, 0, 0, 0, 34, 0, -8, 0, -34, 0, -42, 0, -32, 0, 18, 0, 143, 0, 20, 0, -36, 0, -56, 0, 6, 0, 18, 0, 16, 0, 24, 0, 154, 0, 24, 0, 0, 0, -12, 0, 66, 0, -44, 0, 6, 0, -20, 0, -8, 0, 96, 0, 104, 0, 16, 0, 40, 0, 0, 0, 22, 0, -144, 0, -22, 0, 52, 0, -24, 0, 26, 0, -192, 0, -48, 0, -96, 0, 24, 0, -3, 0, 0, 0, -4, 0, 16, 0, 0, 0, -30, 0, 88, 0, 28, 0, 0, 0, -6, 0, 96, 0, 16, 0, -2, 0, -96, 0, -64, 0, 0, 0, 40, 0, 6, 0, 70, 0, 48, 0, 20, 0, -224, 0, -76, 0, -20, 0, 0, 0, 0, 0, 44, 0, 24, 0, 96, 0, -108, 0, -18, 0, 72, 0, -80, 0, -34, 0, -8, 0, -8, 0, -96, 0, -18, 0, 56, 0, -8, 0, 62, 0, 16, 0, -24, 0, -96, 0, 4, 0, -4, 0, 24, 0, 0, 0, -38, 0, 70, 0, 48, 0, 11, 0, 112, 0, 0, 0, 0, 0, 24, 0, 224, 0, -24, 0, 12, 0, 56, 0, 12, 0, 128, 0, -110, 0, 20, 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], [1.1547005383792515, 0.0], [0.0, 0.0], [-1.7888543819998317, 0.0], [0.0, 0.0], [-0.37796447300922725, 0.0], [0.0, 0.0], [0.3333333333333333, 0.0], [0.0, 0.0], [-1.2060453783110545, 0.0], [0.0, 0.0], [1.1094003924504583, 0.0], [0.0, 0.0], [-2.0655911179772892, 0.0], [0.0, 0.0], [-0.24253562503633297, 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], [2.2, 0.0], [0.0, 0.0], [-0.769800358919501, 0.0], [0.0, 0.0], [-1.1141720290623112, 0.0], [0.0, 0.0], [-0.7184212081070996, 0.0], [0.0, 0.0], [-1.3926212476455828, 0.0], [0.0, 0.0], [0.6761234037828132, 0.0], [0.0, 0.0], [1.643989873053573, 0.0], [0.0, 0.0], [1.281025230440697, 0.0], [0.0, 0.0], [0.9370425713316364, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.5962847939999439, 0.0], [0.0, 0.0], [-0.5834599659915782, 0.0], [0.0, 0.0], [0.14285714285714285, 0.0], [0.0, 0.0], [-0.28005601680560194, 0.0], [0.0, 0.0], [-1.9230478952816463, 0.0], [0.0, 0.0], [2.157439559882375, 0.0], [0.0, 0.0], [-1.5894388284780525, 0.0], [0.0, 0.0], [-0.7811334658849433, 0.0], [0.0, 0.0], [1.5364425591947517, 0.0], [0.0, 0.0], [-0.12598815766974242, 0.0], [0.0, 0.0], [-1.9845557534273353, 0.0], [0.0, 0.0], [0.4886777774252209, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.9494253265550827, 0.0], [0.0, 0.0], [0.23408229439226114, 0.0], [0.0, 0.0], [2.5403411844343533, 0.0], [0.0, 0.0], [0.4558423058385518, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.2222222222222223, 0.0], [0.0, 0.0], [1.0976425998969035, 0.0], [0.0, 0.0], [0.4338609156373123, 0.0], [0.0, 0.0], [-1.2865350418053538, 0.0], [0.0, 0.0], [1.05999788000636, 0.0], [0.0, 0.0], [-0.4193139346887673, 0.0], [0.0, 0.0], [-0.8295613557843402, 0.0], [0.0, 0.0], [2.46234804500437, 0.0], [0.0, 0.0], [0.6092076990801715, 0.0], [0.0, 0.0], [-0.40201512610368484, 0.0], [0.0, 0.0]], 'angles': [None, -0.1520433619923482, -0.42620819117478337, None, -0.3530185831501773, -0.1564164790945006, None, -0.3708097759585889, -0.25, -0.3440403189239459, -0.3084770123204803, -0.09643056653874504, -0.17239346463999347, -0.25, -0.29711543333786, -0.45570723360854765, -0.3138604660378024, -0.11057103081184776, -0.21071453476893873, -0.17127599107372865, -0.23132952961286263, -0.25, -0.15753837015099914, -0.16109615775532363, -0.2007379662762514, -0.39653507443783, -0.21842935982412973, -0.25, -0.23473231515373721, -0.1355946523174732, -0.1922502035000134, -0.3940116485037234, -0.23638587898776947, -0.18029622377113905, -0.23694689037675046, -0.1371684376585112, -0.275513022537652, -0.2249649315569011, -0.10917093259884282, -0.20081974962058732, -0.32401386020071266, -0.25, -0.08260978959300566, -0.26146613973475746, -0.2613489354999302, -0.4804092304798291, -0.2944004049756011, -0.39853690487577853, -0.26057125586654095, -0.06197114728140581, -0.0877986173506914, -0.20834660603955663, -0.2602591743453657, -0.17716364110382432, -0.27996006893958214, -0.38257583678906293, -0.11937460236665476, -0.25, -0.34093118408918777, -0.2786374432048331, -0.18169711983024547, -0.25, -0.20394257786048536, -0.2864163228420012, -0.22288105447121462, -0.14400770392397483, -0.25, -0.14774108648195738, -0.19780615952364755, -0.33989840692036977, -0.1283824974154549, -0.35915739206644415, -0.1422648808765412, -0.20832161129139015, -0.2663793787853585, -0.2662933206355334, -0.1124695539662819, -0.1842430126842063, -0.32418796601821837, -0.3611154782521778, -0.17754614633772992, -0.17773137803365302, -0.21914213457982887, -0.4021733528661314, -0.4518306419157919, -0.20399180735220407, -0.21208753108089975, -0.16397795696455306, -0.17289294277483327, -0.0601285596971167, -0.18163348756924197, -0.2645642684730915, -0.12091311785580451, -0.3588440918269227, -0.34025780737110833, -0.19195051441760647, -0.29284203245123386, -0.20039167075553252, -0.11661593009033791, -0.34439084155945443], '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': 9, 'hecke_orbit_code': 36028797052526016, 'label': '7616.2.a.i.1.1', 'level': 7616, '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': [22, 27, 26, 21, 26, 21, 22, 27], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [106, 128, 121, 114, 119, 116, 123, 110], 'Nk2': 30464, 'analytic_conductor': 60.81406617940714, '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': [7616, 1, [5951, 3333, 3265, 2689], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1129, 'dim': 192, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 11, 19], 'hecke_orbit_code': 33562048, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 8, 8], 'label': '7616.2.a', 'level': 7616, '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, 7, 17], 'level_radical': 238, 'mf_dim': 1176, 'mf_new_dim': 192, 'num_forms': 58, 'plus_dim': 86, 'prim_orbit_index': 1, 'relative_dim': 192, 'sturm_bound': 2304, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [192, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 192, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, -32, 0, 0, 0, 96, 0, 0, 0, 160, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, -32, 0, 0, 0, 32, 0, 0, 0, 192, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, -96, 0, 0, 0, 32, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 64, 0, 0, 0, 208, 0, 0, 0, -32, 0, 0, 0, 128, 0, 0, 0, 192, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 64, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 272, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, -32, 0, 0, 0, 160, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 288, 0, 0, 0, -192, 0, 0, 0, -112, 0, 0, 0, -128, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, -128, 0, 0, 0, -128, 0, 0, 0, 32, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -192, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 64, 0, 0, 0, -128, 0, 0, 0, 192, 0, 0, 0, -256, 0, 0, 0, -192, 0, 0, 0, 32, 0, 0, 0, -64, 0, 0, 0, 256, 0, 0, 0, 192, 0, 0, 0, 16, 0, 0, 0, 160, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -64, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 256, 0, 0, 0, -160, 0, 0, 0, 64, 0, 0, 0, 80, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 240, 0, 0, 0, 192, 0, 0, 0, -32, 0, 0, 0, -32, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, -64, 0, 0, 0, 128, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, -96, 0, 0, 0, -128, 0, 0, 0, -80, 0, 0, 0, 64, 0, 0, 0, 416, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 208, 0, 0, 0, -256, 0, 0, 0, -464, 0, 0, 0, -192, 0, 0, 0, -96, 0, 0, 0, 64, 0, 0, 0, 160, 0, 0, 0, -256, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 192, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -448, 0, 0, 0, 112, 0, 0, 0, -64, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, -192, 0, 0, 0, -192, 0, 0, 0, 32, 0, 0, 0, 256, 0, 0, 0, -128, 0, 0, 0, 112, 0, 0, 0, 64, 0, 0, 0, -112, 0, 0, 0, 192, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, -64, 0, 0, 0, -288, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -256, 0, 0, 0, 224, 0, 0, 0, 192, 0, 0, 0, 368, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 160, 0, 0, 0, -128, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -448, 0, 0, 0, -192, 0, 0, 0, 272, 0, 0, 0, 128, 0, 0, 0, 32, 0, 0, 0, -64, 0, 0, 0, -384, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 768, 0, 0, 0, -128, 0, 0, 0, 80, 0, 0, 0, 64, 0, 0, 0, -272, 0, 0, 0, -128, 0, 0, 0, 192, 0, 0, 0, 192, 0, 0, 0, -128, 0, 0, 0, -64, 0, 0, 0, 288, 0, 0, 0, 160, 0, 0, 0, -288, 0, 0, 0, 448, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, -256, 0, 0, 0, -160, 0, 0, 0, -64, 0, 0, 0, 416, 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: 46521978
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797052526016, 'source_is_minimal': False, 'source_label': '7616.2.a.i.1.1', 'source_level': 7616, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797052526016, 'target_is_minimal': False, 'target_label': '7616.2.a.i.1.1', 'target_level': 7616, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46521979
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797052526016, 'source_is_minimal': False, 'source_label': '7616.2.a.i.1.1', 'source_level': 7616, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33562048, 'target_is_minimal': False, 'target_label': '7616.2.a.a.1.1', 'target_level': 7616, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46521980
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797052526016, 'source_is_minimal': False, 'source_label': '7616.2.a.i.1.1', 'source_level': 7616, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660925166, 'target_is_minimal': True, 'target_label': '238.2.a.b.1.1', 'target_level': 238, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46521981
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797052526016, 'source_is_minimal': False, 'source_label': '7616.2.a.i.1.1', 'source_level': 7616, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660926832, 'target_is_minimal': False, 'target_label': '1904.2.a.b.1.1', 'target_level': 1904, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46521982
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797052526016, 'source_is_minimal': False, 'source_label': '7616.2.a.i.1.1', 'source_level': 7616, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595934632030, 'target_is_minimal': False, 'target_label': '2142.2.a.l.1.1', 'target_level': 2142, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46521983
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797052526016, 'source_is_minimal': False, 'source_label': '7616.2.a.i.1.1', 'source_level': 7616, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996307265342, 'target_is_minimal': False, 'target_label': '5950.2.a.k.1.1', 'target_level': 5950, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '40.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 46521984
    {'conductor': 56, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797052526016, 'source_is_minimal': False, 'source_label': '7616.2.a.i.1.1', 'source_level': 7616, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660926594, 'target_is_minimal': False, 'target_label': '1666.2.a.b.1.1', 'target_level': 1666, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '56.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 46521985
    {'conductor': 136, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797052526016, 'source_is_minimal': False, 'source_label': '7616.2.a.i.1.1', 'source_level': 7616, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660928974, 'target_is_minimal': False, 'target_label': '4046.2.a.b.1.1', 'target_level': 4046, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '136.67', 'twisting_conrey_index': 67, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4525950
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 2}
  • id: 4525951
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 3}
  • id: 4525952
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 5}
  • id: 4525953
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 7}
  • id: 4525954
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 11}
  • id: 4525955
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 13}
  • id: 4525956
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 17}
  • id: 4525957
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 19}
  • id: 4525958
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 23}
  • id: 4525959
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 29}
  • id: 4525960
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 31}
  • id: 4525961
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 37}
  • id: 4525962
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 41}
  • id: 4525963
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 43}
  • id: 4525964
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 47}
  • id: 4525965
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 53}
  • id: 4525966
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 59}
  • id: 4525967
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 61}
  • id: 4525968
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 67}
  • id: 4525969
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 71}
  • id: 4525970
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 73}
  • id: 4525971
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 79}
  • id: 4525972
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 83}
  • id: 4525973
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 36028797052526016, 'p': 89}
  • id: 4525974
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 36028797052526016, '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': 9, 'label': '7616.2.a.i', 'level': 7616, '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: 51227683
    {'hecke_orbit_code': 36028797052526016, 'n': 1, 'trace_an': 1}
  • id: 51227684
    {'hecke_orbit_code': 36028797052526016, 'n': 2, 'trace_an': 0}
  • id: 51227685
    {'hecke_orbit_code': 36028797052526016, 'n': 3, 'trace_an': 2}
  • id: 51227686
    {'hecke_orbit_code': 36028797052526016, 'n': 4, 'trace_an': 0}
  • id: 51227687
    {'hecke_orbit_code': 36028797052526016, 'n': 5, 'trace_an': -4}
  • id: 51227688
    {'hecke_orbit_code': 36028797052526016, 'n': 6, 'trace_an': 0}
  • id: 51227689
    {'hecke_orbit_code': 36028797052526016, 'n': 7, 'trace_an': -1}
  • id: 51227690
    {'hecke_orbit_code': 36028797052526016, 'n': 8, 'trace_an': 0}
  • id: 51227691
    {'hecke_orbit_code': 36028797052526016, 'n': 9, 'trace_an': 1}
  • id: 51227692
    {'hecke_orbit_code': 36028797052526016, 'n': 10, 'trace_an': 0}
  • id: 51227693
    {'hecke_orbit_code': 36028797052526016, 'n': 11, 'trace_an': -4}
  • id: 51227694
    {'hecke_orbit_code': 36028797052526016, 'n': 12, 'trace_an': 0}
  • id: 51227695
    {'hecke_orbit_code': 36028797052526016, 'n': 13, 'trace_an': 4}
  • id: 51227696
    {'hecke_orbit_code': 36028797052526016, 'n': 14, 'trace_an': 0}
  • id: 51227697
    {'hecke_orbit_code': 36028797052526016, 'n': 15, 'trace_an': -8}
  • id: 51227698
    {'hecke_orbit_code': 36028797052526016, 'n': 16, 'trace_an': 0}
  • id: 51227699
    {'hecke_orbit_code': 36028797052526016, 'n': 17, 'trace_an': -1}
  • id: 51227700
    {'hecke_orbit_code': 36028797052526016, 'n': 18, 'trace_an': 0}
  • id: 51227701
    {'hecke_orbit_code': 36028797052526016, 'n': 19, 'trace_an': -6}
  • id: 51227702
    {'hecke_orbit_code': 36028797052526016, 'n': 20, 'trace_an': 0}
  • id: 51227703
    {'hecke_orbit_code': 36028797052526016, 'n': 21, 'trace_an': -2}
  • id: 51227704
    {'hecke_orbit_code': 36028797052526016, 'n': 22, 'trace_an': 0}
  • id: 51227705
    {'hecke_orbit_code': 36028797052526016, 'n': 23, 'trace_an': 0}
  • id: 51227706
    {'hecke_orbit_code': 36028797052526016, 'n': 24, 'trace_an': 0}
  • id: 51227707
    {'hecke_orbit_code': 36028797052526016, 'n': 25, 'trace_an': 11}
  • id: 51227708
    {'hecke_orbit_code': 36028797052526016, 'n': 26, 'trace_an': 0}
  • id: 51227709
    {'hecke_orbit_code': 36028797052526016, 'n': 27, 'trace_an': -4}
  • id: 51227710
    {'hecke_orbit_code': 36028797052526016, 'n': 28, 'trace_an': 0}
  • id: 51227711
    {'hecke_orbit_code': 36028797052526016, 'n': 29, 'trace_an': -6}
  • id: 51227712
    {'hecke_orbit_code': 36028797052526016, 'n': 30, 'trace_an': 0}
  • id: 51227713
    {'hecke_orbit_code': 36028797052526016, 'n': 31, 'trace_an': -4}
  • id: 51227714
    {'hecke_orbit_code': 36028797052526016, 'n': 32, 'trace_an': 0}
  • id: 51227715
    {'hecke_orbit_code': 36028797052526016, 'n': 33, 'trace_an': -8}
  • id: 51227716
    {'hecke_orbit_code': 36028797052526016, 'n': 34, 'trace_an': 0}
  • id: 51227717
    {'hecke_orbit_code': 36028797052526016, 'n': 35, 'trace_an': 4}
  • id: 51227718
    {'hecke_orbit_code': 36028797052526016, 'n': 36, 'trace_an': 0}
  • id: 51227719
    {'hecke_orbit_code': 36028797052526016, 'n': 37, 'trace_an': 10}
  • id: 51227720
    {'hecke_orbit_code': 36028797052526016, 'n': 38, 'trace_an': 0}
  • id: 51227721
    {'hecke_orbit_code': 36028797052526016, 'n': 39, 'trace_an': 8}
  • id: 51227722
    {'hecke_orbit_code': 36028797052526016, 'n': 40, 'trace_an': 0}
  • id: 51227723
    {'hecke_orbit_code': 36028797052526016, 'n': 41, 'trace_an': 6}
  • id: 51227724
    {'hecke_orbit_code': 36028797052526016, 'n': 42, 'trace_an': 0}
  • id: 51227725
    {'hecke_orbit_code': 36028797052526016, 'n': 43, 'trace_an': 0}
  • id: 51227726
    {'hecke_orbit_code': 36028797052526016, 'n': 44, 'trace_an': 0}
  • id: 51227727
    {'hecke_orbit_code': 36028797052526016, 'n': 45, 'trace_an': -4}
  • id: 51227728
    {'hecke_orbit_code': 36028797052526016, 'n': 46, 'trace_an': 0}
  • id: 51227729
    {'hecke_orbit_code': 36028797052526016, 'n': 47, 'trace_an': -4}
  • id: 51227730
    {'hecke_orbit_code': 36028797052526016, 'n': 48, 'trace_an': 0}
  • id: 51227731
    {'hecke_orbit_code': 36028797052526016, 'n': 49, 'trace_an': 1}
  • id: 51227732
    {'hecke_orbit_code': 36028797052526016, 'n': 50, 'trace_an': 0}
  • id: 51227733
    {'hecke_orbit_code': 36028797052526016, 'n': 51, 'trace_an': -2}
  • id: 51227734
    {'hecke_orbit_code': 36028797052526016, 'n': 52, 'trace_an': 0}
  • id: 51227735
    {'hecke_orbit_code': 36028797052526016, 'n': 53, 'trace_an': -14}
  • id: 51227736
    {'hecke_orbit_code': 36028797052526016, 'n': 54, 'trace_an': 0}
  • id: 51227737
    {'hecke_orbit_code': 36028797052526016, 'n': 55, 'trace_an': 16}
  • id: 51227738
    {'hecke_orbit_code': 36028797052526016, 'n': 56, 'trace_an': 0}
  • id: 51227739
    {'hecke_orbit_code': 36028797052526016, 'n': 57, 'trace_an': -12}
  • id: 51227740
    {'hecke_orbit_code': 36028797052526016, 'n': 58, 'trace_an': 0}
  • id: 51227741
    {'hecke_orbit_code': 36028797052526016, 'n': 59, 'trace_an': -6}
  • id: 51227742
    {'hecke_orbit_code': 36028797052526016, 'n': 60, 'trace_an': 0}
  • id: 51227743
    {'hecke_orbit_code': 36028797052526016, 'n': 61, 'trace_an': 12}
  • id: 51227744
    {'hecke_orbit_code': 36028797052526016, 'n': 62, 'trace_an': 0}
  • id: 51227745
    {'hecke_orbit_code': 36028797052526016, 'n': 63, 'trace_an': -1}
  • id: 51227746
    {'hecke_orbit_code': 36028797052526016, 'n': 64, 'trace_an': 0}
  • id: 51227747
    {'hecke_orbit_code': 36028797052526016, 'n': 65, 'trace_an': -16}
  • id: 51227748
    {'hecke_orbit_code': 36028797052526016, 'n': 66, 'trace_an': 0}
  • id: 51227749
    {'hecke_orbit_code': 36028797052526016, 'n': 67, 'trace_an': 4}
  • id: 51227750
    {'hecke_orbit_code': 36028797052526016, 'n': 68, 'trace_an': 0}
  • id: 51227751
    {'hecke_orbit_code': 36028797052526016, 'n': 69, 'trace_an': 0}
  • id: 51227752
    {'hecke_orbit_code': 36028797052526016, 'n': 70, 'trace_an': 0}
  • id: 51227753
    {'hecke_orbit_code': 36028797052526016, 'n': 71, 'trace_an': 8}
  • id: 51227754
    {'hecke_orbit_code': 36028797052526016, 'n': 72, 'trace_an': 0}
  • id: 51227755
    {'hecke_orbit_code': 36028797052526016, 'n': 73, 'trace_an': 2}
  • id: 51227756
    {'hecke_orbit_code': 36028797052526016, 'n': 74, 'trace_an': 0}
  • id: 51227757
    {'hecke_orbit_code': 36028797052526016, 'n': 75, 'trace_an': 22}
  • id: 51227758
    {'hecke_orbit_code': 36028797052526016, 'n': 76, 'trace_an': 0}
  • id: 51227759
    {'hecke_orbit_code': 36028797052526016, 'n': 77, 'trace_an': 4}
  • id: 51227760
    {'hecke_orbit_code': 36028797052526016, 'n': 78, 'trace_an': 0}
  • id: 51227761
    {'hecke_orbit_code': 36028797052526016, 'n': 79, 'trace_an': 0}
  • id: 51227762
    {'hecke_orbit_code': 36028797052526016, 'n': 80, 'trace_an': 0}
  • id: 51227763
    {'hecke_orbit_code': 36028797052526016, 'n': 81, 'trace_an': -11}
  • id: 51227764
    {'hecke_orbit_code': 36028797052526016, 'n': 82, 'trace_an': 0}
  • id: 51227765
    {'hecke_orbit_code': 36028797052526016, 'n': 83, 'trace_an': 10}
  • id: 51227766
    {'hecke_orbit_code': 36028797052526016, 'n': 84, 'trace_an': 0}
  • id: 51227767
    {'hecke_orbit_code': 36028797052526016, 'n': 85, 'trace_an': 4}
  • id: 51227768
    {'hecke_orbit_code': 36028797052526016, 'n': 86, 'trace_an': 0}
  • id: 51227769
    {'hecke_orbit_code': 36028797052526016, 'n': 87, 'trace_an': -12}
  • id: 51227770
    {'hecke_orbit_code': 36028797052526016, 'n': 88, 'trace_an': 0}
  • id: 51227771
    {'hecke_orbit_code': 36028797052526016, 'n': 89, 'trace_an': 10}
  • id: 51227772
    {'hecke_orbit_code': 36028797052526016, 'n': 90, 'trace_an': 0}
  • id: 51227773
    {'hecke_orbit_code': 36028797052526016, 'n': 91, 'trace_an': -4}
  • id: 51227774
    {'hecke_orbit_code': 36028797052526016, 'n': 92, 'trace_an': 0}
  • id: 51227775
    {'hecke_orbit_code': 36028797052526016, 'n': 93, 'trace_an': -8}
  • id: 51227776
    {'hecke_orbit_code': 36028797052526016, 'n': 94, 'trace_an': 0}
  • id: 51227777
    {'hecke_orbit_code': 36028797052526016, 'n': 95, 'trace_an': 24}
  • id: 51227778
    {'hecke_orbit_code': 36028797052526016, 'n': 96, 'trace_an': 0}
  • id: 51227779
    {'hecke_orbit_code': 36028797052526016, 'n': 97, 'trace_an': 6}
  • id: 51227780
    {'hecke_orbit_code': 36028797052526016, 'n': 98, 'trace_an': 0}
  • id: 51227781
    {'hecke_orbit_code': 36028797052526016, 'n': 99, 'trace_an': -4}
  • id: 51227782
    {'hecke_orbit_code': 36028797052526016, 'n': 100, 'trace_an': 0}