Embedded newform data - 2200.2.a.t.1.2

Formats: - HTML - YAML - JSON - 2026-08-12T20:17:06.083162

• 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': 8800, 'analytic_conductor': 17.567088444681684, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, 1], [11, 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': [2200, 1, [551, 1101, 177, 1201], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 837, 'field_disc_factorization': [[3, 3], [31, 1]], 'field_poly': [-1, -6, 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, [-6, -3, 3, 1]], [7, [4, -9, 3, 1]], [13, [15, -21, -3, 1]]], 'hecke_orbit': 20, 'hecke_orbit_code': 85568392953596056, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '2200.2.a.t', 'level': 2200, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 11], 'level_radical': 110, 'minimal_twist': '2200.2.a.t', 'nf_label': '3.3.837.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-1+\\beta _{1})q^{3}+(-1+\\beta _{2})q^{7}+(2+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2200.2.a', 'trace_display': [0, -3, 0, -3], 'trace_hash': 804463112880766858, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.089', 'prec': 7}, {'__RealLiteral__': 0, 'data': '2.942', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.489', 'prec': 10}, {'__RealLiteral__': 0, 'data': '22.634', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.900', 'prec': 14}, {'__RealLiteral__': 0, 'data': '244.122', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.020', 'prec': 7}, 'traces': [3, 0, -3, 0, 0, 0, -3, 0, 6, 0, -3, 0, 3, 0, 0, 0, 3, 0, 3, 0, 6, 0, -6, 0, 0, 0, -18, 0, 12, 0, -3, 0, 3, 0, 0, 0, -12, 0, 21, 0, 6, 0, 3, 0, 0, 0, -12, 0, 6, 0, -9, 0, 9, 0, 0, 0, -3, 0, 24, 0, -3, 0, 12, 0, 0, 0, -6, 0, 18, 0, -15, 0, 33, 0, 0, 0, 3, 0, 15, 0, 27, 0, -6, 0, 0, 0, -15, 0, 6, 0, 3, 0, 9, 0, 0, 0, 18, 0, -6, 0, 36, 0, 12, 0, 0, 0, 15, 0, -12, 0, -3, 0, 18, 0, 0, 0, -36, 0, 42, 0, 3, 0, -15, 0, 0, 0, -33, 0, -12, 0, 18, 0, -3, 0, 0, 0, 12, 0, 9, 0, 45, 0, -3, 0, 0, 0, -6, 0, -6, 0, -24, 0, 63, 0, 0, 0, -6, 0, 36, 0, 9, 0, 3, 0, 0, 0, -6, 0, 12, 0, 6, 0, -15, 0, 0, 0, 9, 0, 33, 0, 3, 0, 18, 0, 0, 0, -3, 0, -45, 0, 24, 0, 12, 0, 0, 0, 6, 0, 0, 0, -12, 0, -36, 0, 0, 0, -33, 0, -3, 0, -24, 0, 78, 0, 0, 0, 51, 0, -30, 0, -9, 0, 12, 0, 0, 0, 6, 0, 9, 0, -6, 0, 9, 0, 0, 0, -51, 0, -39, 0, -15, 0, -72, 0, 0, 0, 3, 0, -9, 0, 15, 0, 6, 0, 0, 0, 21, 0, -15, 0, 6, 0, -24, 0, 0, 0, -21, 0, -9, 0, 0, 0, 24, 0, 0, 0, 12, 0, 30, 0, -6, 0, -15, 0, 0, 0, 15, 0, 48, 0, -84, 0, -18, 0, 0, 0, 18, 0, 18, 0, 18, 0, -42, 0, 0, 0, 9, 0, -93, 0, 33, 0, 24, 0, 0, 0, 27, 0, -12, 0, -63, 0, 3, 0, 0, 0, 45, 0, -3, 0, -18, 0, -21, 0, 0, 0, -6, 0, -3, 0, 3, 0, -78, 0, 0, 0, 69, 0, -63, 0, 36, 0, -57, 0, 0, 0, -45, 0, 36, 0, -54, 0, -3, 0, 0, 0, -18, 0, 51, 0, -21, 0, 6, 0, 0, 0, 6, 0, -12, 0, 45, 0, 15, 0, 0, 0, 45, 0, -36, 0, -12, 0, -84, 0, 0, 0, 27, 0, 6, 0, 39, 0, 9, 0, 0, 0, 12, 0, -60, 0, 9, 0, -39, 0, 0, 0, 21, 0, -24, 0, -9, 0, -105, 0, 0, 0, -63, 0, -21, 0, 6, 0, 51, 0, 0, 0, -6, 0, -33, 0, -81, 0, -30, 0, 0, 0, 24, 0, 30, 0, -6, 0, 9, 0, 0, 0, 21, 0, -171, 0, 18, 0, 9, 0, 0, 0, 18, 0, 48, 0, -78, 0, -3, 0, 0, 0, -84, 0, -6, 0, -42, 0, -3, 0, 0, 0, -57, 0, -18, 0, 27, 0, -33, 0, 0, 0, 54, 0, 51, 0, -39, 0, 12, 0, 0, 0, 48, 0, -15, 0, -9, 0, -18, 0, 0, 0, 12, 0, -33, 0, 33, 0, 69, 0, 0, 0, 87, 0, -45, 0, -33, 0, -12, 0, 0, 0, -12, 0, -6, 0, -12, 0, 60, 0, 0, 0, 24, 0, -102, 0, 12, 0, -24, 0, 0, 0, -27, 0, -15, 0, 9, 0, -57, 0, 0, 0, 18, 0, -63, 0, 12, 0, -57, 0, 0, 0, 93, 0, 24, 0, 72, 0, -9, 0, 0, 0, -39, 0, -3, 0, -48, 0, 0, 0, 0, 0, -51, 0, 33, 0, -57, 0, 66, 0, 0, 0, -42, 0, 45, 0, 54, 0, -63, 0, 0, 0, 81, 0, -36, 0, 63, 0, 60, 0, 0, 0, 3, 0, -51, 0, 9, 0, -39, 0, 0, 0, 6, 0, -117, 0, 15, 0, -72, 0, 0, 0, 30, 0, -24, 0, -48, 0, 3, 0, 0, 0, 84, 0, 30, 0, -84, 0, 117, 0, 0, 0, -27, 0, 21, 0, 3, 0, 54, 0, 0, 0, -3, 0, -81, 0, -45, 0, -36, 0, 0, 0, -45, 0, 99, 0, 3, 0, -12, 0, 0, 0, 57, 0, -30, 0, 21, 0, -12, 0, 0, 0, 9, 0, -12, 0, 93, 0, 12, 0, 0, 0, -12, 0, 78, 0, -102, 0, 63, 0, 0, 0, 54, 0, 162, 0, 54, 0, -15, 0, 0, 0, 6, 0, -21, 0, 21, 0, -9, 0, 0, 0, 84, 0, -27, 0, 48, 0, 27, 0, 0, 0, -102, 0, -18, 0, 12, 0, 90, 0, 0, 0, 90, 0, 48, 0, -60, 0, -33, 0, 0, 0, -12, 0, 6, 0, 15, 0, -9, 0, 0, 0, -66, 0, -21, 0, 9, 0, 27, 0, 0, 0, 15, 0, -75, 0, 108, 0, -33, 0, 0, 0, -81, 0, 54, 0, 72, 0, -15, 0, 0, 0, 3, 0, -18, 0, 87, 0, 84, 0, 0, 0, 57, 0, 93, 0, 75, 0, -180, 0, 0, 0, -108, 0, 45, 0, -15, 0, 87, 0, 0, 0, -3, 0, -45, 0, 9, 0, -39, 0, 0, 0, -12, 0, -60, 0, -18, 0, 33, 0, 0, 0, -129, 0, -15, 0, -42, 0, 105, 0, 0, 0, 9, 0, -6, 0, -30, 0, 78, 0, 0, 0, -6, 0, 36, 0, -27, 0, -12, 0, 0, 0, -48, 0, -60, 0, -60, 0, -24, 0, 0, 0, -102, 0, 129, 0, 24, 0, 6, 0, 0, 0, -81, 0, 12, 0, -147, 0, 111, 0, 0, 0, 96, 0, 15, 0, 6, 0, -51, 0, 0, 0, 30, 0, 96, 0, 84, 0, -21, 0, 0, 0, 102, 0, 39, 0, -141, 0, -30, 0, 0, 0, 15, 0, -30, 0, 6, 0, 114, 0, 0, 0, -99, 0, -9, 0, 63, 0, 45, 0, 0, 0, -18, 0, -6, 0, -12, 0, -39, 0, 0, 0, 24, 0, -15, 0, 33, 0, 27, 0, 0, 0, -57, 0, 108, 0, -3, 0, -39, 0, 0, 0, 9, 0, 30, 0, 18, 0, -84, 0, 0, 0, 33, 0, 6, 0, -3, 0, -9, 0, 0, 0, -57, 0, 63, 0, 21, 0, -9, 0, 0, 0, -150, 0, 75, 0, -66, 0, -36, 0, 0, 0, 45, 0, 105, 0, 27, 0, -171, 0, 0, 0, -3, 0, 105, 0, 60, 0, 96, 0, 0, 0, -18, 0, 27, 0, -27, 0, -21, 0, 0, 0, -90, 0, -36, 0, 57, 0, 54, 0, 0, 0, -15, 0, 6, 0, 21, 0, 24, 0, 0, 0, 42, 0, 78, 0, 54, 0, 108, 0, 0, 0, -126, 0, 54, 0, -36, 0, 75, 0, 0, 0, -45, 0, -165, 0, 24, 0, -69, 0, 0, 0, -12, 0, 84, 0, 39, 0, -12, 0, 0, 0, -75, 0, 96, 0, -123, 0, -87, 0, 0, 0, -42, 0, -120, 0, 108, 0, 120, 0, 0, 0, -24, 0, -3, 0, -108, 0, 69, 0, 0, 0, 84, 0, 111, 0, 24, 0, 81, 0, 0, 0, -15, 0, 105, 0, 87, 0, 96, 0, 0, 0, 48, 0, 3, 0, 15, 0, 33, 0, 0, 0, 12, 0, 12, 0, -6, 0, -48, 0, 0, 0, 0, 0, 69, 0, 3, 0, -54, 0, 0, 0, 39, 0, 27, 0, 3, 0, -105, 0, 0, 0, 171, 0, -6, 0, 39, 0, -36, 0, 0, 0, 9, 0, 96, 0, 78, 0, -18, 0, 0, 0, -9, 0, -33, 0, 12, 0, -51, 0, 0, 0, -165, 0, 78, 0, -114, 0, 102, 0, 0, 0, -57, 0, 216, 0, 36, 0, -6, 0, 0, 0, 81, 0, -12, 0, 75, 0, -15, 0, 0, 0, 36, 0, -60, 0, 141, 0, -39, 0, 0, 0, 36, 0, 3, 0, -36, 0, -63, 0, 0, 0, 24, 0, -42, 0, 18, 0, 24, 0, 0, 0, -69, 0, 0, 0, -45, 0, 243, 0, 0, 0, -54, 0, 138, 0, -3, 0, 39, 0, 0, 0, -102, 0, -150, 0, -90, 0, 33, 0, 0, 0, -24, 0, -15, 0, -96, 0, 15, 0, 0, 0, -15, 0, -45, 0, -15, 0, -33, 0, 0, 0, -12, 0, -21, 0, 12, 0, 9, 0, 0, 0, 216, 0, 123, 0, -39, 0, -21, 0, 0, 0, 33, 0, -57, 0, -81, 0, -36, 0, 0, 0, 33, 0, -48, 0, -39, 0, 21, 0, 0, 0, -72, 0, -45, 0, 141, 0, 228, 0, 0, 0, 54, 0, 12, 0, 117, 0, -9, 0, 0, 0, -18, 0, -33, 0, 117, 0, -45, 0, 0, 0, -135, 0, 57, 0, -18, 0, -123, 0, 0, 0, -96, 0, -39, 0, -48, 0, 9, 0, 0, 0, -18, 0, 111, 0, 33, 0, 3, 0, 0, 0, -84, 0, 48, 0, 6, 0, -21, 0, 0, 0, -15, 0, 18, 0, -90, 0, -21, 0, 0, 0, -60, 0, -39, 0, -6, 0, -84, 0, 0, 0, 48, 0, -63, 0, 15, 0, 183, 0, 0, 0, -12, 0, -132, 0, 15, 0, 153, 0, 0, 0, -36, 0, -192, 0, 12, 0, -42, 0, 0, 0, 72, 0, -9, 0, 6, 0, 45, 0, 0, 0, 48, 0, 27, 0, -6, 0, -93, 0, 0, 0, 36, 0, 48, 0, -45, 0, -30, 0, 0, 0, 54, 0, -3, 0, -27, 0, 96, 0, 0, 0, 18, 0, -24, 0, 51, 0, 3, 0, 0, 0, -6, 0, -138, 0, -99, 0, -72, 0, 0, 0, 0, 0, -132, 0, -24, 0, 0, 0, 0, 0, -21, 0, 93, 0, 66, 0, -18, 0, 0, 0, -117, 0, 69, 0, 6, 0, 6, 0, 0, 0, 6, 0, -15, 0, 84, 0, 42, 0, 0, 0, 72, 0, -174, 0, 9, 0, 93, 0, 0, 0, -27, 0, 6, 0, 72, 0, -33, 0, 0, 0, 261, 0, -42, 0, -9, 0, -15, 0, 0, 0, -6, 0, 3, 0, 24, 0, -36, 0, 0, 0, 21, 0, 75, 0, -99, 0, 3, 0, 0, 0, 72, 0, -63, 0, -81, 0, -63, 0, 0, 0, -66, 0, 12, 0, 6, 0, 6, 0, 0, 0, 75, 0, -6, 0, 45, 0, -114, 0, 0, 0, 66, 0, 0, 0, 111, 0, -126, 0, 0, 0, 132, 0, 36, 0, 6, 0, 33, 0, 0, 0, 6, 0, 3, 0, -159, 0, -90, 0, 0, 0, -132, 0, 30, 0, 30, 0, -93, 0, 0, 0, -84, 0, -36, 0, -87, 0, 57, 0, 0, 0, 42, 0, -78, 0, -33, 0, 36, 0, 0, 0, 9, 0, 54, 0, -9, 0, 225, 0, 0, 0, 21, 0, -147, 0, 54, 0, -57, 0, 0, 0, 12, 0, 57, 0, 66, 0, -3, 0, 0, 0, 39, 0, -54, 0, 117, 0, 0, 0, 0, 0, 69, 0, -144, 0, 60, 0, 69, 0, 0, 0, -66, 0, 39, 0, 114, 0, 63, 0, 0, 0, 75, 0, -54, 0, -27, 0, -147, 0, 0, 0, 6, 0, 75, 0, -57, 0, 18, 0, 0, 0, 9, 0, -96, 0, -60, 0, 111, 0, 0, 0, -75, 0, -12, 0, -69, 0, -153, 0, 0, 0, 60, 0, -69, 0, -9, 0, 42, 0, 0, 0, -24, 0, -12, 0, -6, 0, -60, 0, 0, 0, 27, 0, 15, 0, -129, 0, -96, 0, 0, 0, 159, 0, 39, 0, 54, 0, 15, 0, 0, 0, -18, 0, -3, 0, -144, 0, -96, 0, 0, 0, 162, 0, 36, 0, 57, 0, -135, 0, 0, 0, -72, 0, -42, 0, 48, 0, -111, 0, 0, 0, 30, 0, 33, 0, 105, 0, -66, 0, 0, 0, -9, 0, -48, 0, -3, 0, -66, 0, 0, 0, 12, 0, -123, 0, -69, 0, -54, 0, 0, 0, 189, 0, -33, 0, -261, 0, 192, 0, 0, 0, 51, 0, 15, 0, 0, 0, 117, 0, 0, 0, -51, 0, -207, 0, -3, 0, -54, 0, 0, 0, -27, 0, 15, 0, 57, 0, -60, 0, 0, 0, -57, 0, -81, 0, -15, 0, -18, 0, 0, 0, 6, 0, -33, 0, -60, 0, -138, 0, 0, 0, 18, 0, 21, 0, -60, 0, 15, 0, 0, 0, 33, 0, 108, 0, -174, 0, -36, 0, 0, 0, -27, 0, 15, 0, -174, 0, -51, 0, 0, 0, 3, 0, -99, 0, 81, 0, 27, 0, 0, 0, -6, 0, 21, 0, -12, 0, 150, 0, 0, 0, 90, 0, 45, 0, 75, 0, -108, 0, 0, 0, 60, 0, 54, 0, -135, 0, 21, 0, 0, 0, 78, 0, -48, 0, -24, 0, -246, 0, 0, 0, -87, 0, -3, 0, 0, 0, 36, 0, 0, 0, 108, 0, -27, 0, 21, 0, -12, 0, 0, 0, -12, 0, -81, 0, 99, 0, -171, 0, 0, 0, -30, 0, 12, 0, -36, 0, 3, 0, 0, 0, 18, 0, -90, 0, -12, 0, -81, 0, 0, 0, -99, 0, -39, 0, 105, 0, 33, 0, 0, 0, -6, 0, -207, 0, -96, 0, -39, 0, 0, 0, 9, 0, 57, 0, -177, 0, -114, 0, 0, 0, -135, 0, 0, 0, 6, 0, -126, 0, 0, 0, 93, 0, 21, 0, 93, 0, -123, 0, 0, 0, 30, 0, 21, 0, 12, 0, 147, 0, 0, 0, 78, 0, -102, 0, 9, 0, -36, 0, 0, 0, -42, 0, 78, 0, -102, 0, 36, 0, 0, 0, -78, 0, -153, 0, -207, 0, -111, 0, 0, 0, -6, 0, -111, 0, -15, 0, 51, 0, 0, 0, 63, 0, 3, 0, 42, 0, 15, 0, 0, 0, 18, 0, 54, 0, 63, 0, 0, 0, 0, 0, 33, 0, -48, 0, 33, 0, 84, 0, 0, 0, -165, 0, -69, 0, 69, 0, -6, 0, 0, 0, -63, 0, 3, 0, 105, 0, 69, 0, 0, 0, -177, 0, 24, 0, -72, 0, 87, 0, 0, 0, -3, 0, 114, 0, 24, 0, -78, 0, 0, 0, 75, 0, -45, 0, -6, 0, 72, 0, 0, 0, -15, 0, -45, 0, -123, 0, -78, 0, 0, 0, 120, 0, 63, 0, -147, 0, 129, 0, 0, 0, 6, 0, 102, 0, 63, 0, 87, 0, 0, 0, -39, 0, -105, 0, -132, 0, 24, 0, 0, 0, 3, 0, -168, 0, 0, 0, 3, 0, 0, 0, -51, 0, 9, 0, -63, 0, -168, 0, 0, 0, 279, 0, -60, 0, 195, 0, -279, 0, 0, 0, -90, 0, 30, 0, -6, 0, -33, 0, 0, 0, -132, 0, 0, 0, 93, 0, 75, 0, 0, 0, 144, 0, -45, 0, 9, 0, -3, 0, 0, 0, 30, 0, 189, 0, 24, 0, 105, 0, 0, 0, 63, 0, -33, 0, -12, 0, -12, 0, 0, 0, -27, 0, 108, 0, -78, 0, 18, 0, 0, 0, -87, 0, -72, 0, 69, 0, 87, 0, 0, 0, 108, 0, 0, 0, 96, 0, -42, 0, 0, 0, 3, 0, 18, 0, 111, 0, -105, 0, 0, 0, -6, 0, 261, 0, -87, 0, 48, 0, 0, 0, 57, 0, 84, 0, 63, 0, 90, 0, 0, 0, 102, 0, -9, 0, 132, 0, -3, 0, 0, 0, 54, 0, 9, 0, -123, 0, -108, 0, 0, 0, -24, 0, -48, 0, 6, 0, -15, 0, 0, 0, 75, 0, -69, 0, 141, 0, -54, 0, 0, 0, 30, 0, -21, 0, -78, 0, -9, 0, 0, 0, -63, 0, 27, 0, 147, 0, 138, 0, 0, 0, -108, 0, 75, 0, -42, 0, 12, 0, 0, 0, -102, 0, -69, 0, 57, 0, -144, 0, 0, 0, 111, 0, -21, 0, 168, 0, 12, 0, 0, 0, 51, 0, -69, 0, -69, 0, 60, 0, 0, 0, 159, 0, -117, 0, 0, 0, -84, 0, 0, 0, -42, 0, 39, 0, -30, 0, -30, 0, 0, 0, -180, 0, -18, 0, 9, 0, -138, 0, 0, 0, 66, 0, -87, 0, 15, 0, -33, 0, 0, 0, -81, 0, -72, 0, -27, 0, -36, 0, 0, 0, -57, 0, 222, 0, -168, 0, 72, 0, 0, 0, 138, 0, 45, 0, -18, 0, -3, 0, 0, 0, -120, 0, -156, 0, 135, 0, 48, 0, 0, 0, 75, 0, -36, 0, -159, 0, 279, 0, 0, 0, 96, 0, 0, 0, -153, 0, 132, 0, 0, 0, -3, 0, -27, 0, 180, 0, 48, 0, 0, 0, -369, 0, 144, 0, 120, 0, 78, 0, 0, 0, -87, 0, 9, 0, 30, 0, -150, 0, 0, 0, 48, 0, 45, 0, 33, 0, 12, 0, 0, 0, 24, 0, 126, 0, -15, 0, 213, 0, 0, 0, -51, 0, -90, 0, -222, 0, 18, 0, 0, 0, -75, 0, -156, 0, -45, 0, -6, 0, 0, 0, -33, 0, -21, 0, 186, 0, -6, 0, 0, 0, 102, 0, 144, 0, -18, 0, -54, 0, 0, 0, -18, 0, 60, 0, 108, 0, 135, 0, 0, 0, -162, 0, -48, 0, 57, 0, -123, 0, 0, 0, -21, 0, 84, 0, -6, 0, 57, 0, 0, 0, 45, 0, 249, 0, -81, 0, 36, 0, 0, 0, 276, 0, 15, 0, -150, 0, 207, 0, 0, 0, -60, 0, 114, 0, -60, 0, 111, 0, 0, 0, 123, 0, -24, 0, -6, 0, 168, 0, 0, 0, 63, 0, -6, 0, 54, 0, 6, 0, 0, 0, 45, 0, -198, 0, 141, 0, 24, 0, 0, 0, -21, 0, 78, 0, 93, 0, 135, 0, 0, 0, 63, 0, -24, 0, -54, 0, 12, 0, 0, 0, -99, 0, -6, 0, 78, 0, -15, 0, 0, 0, -117, 0, 99, 0, -39, 0, 93, 0, 0, 0, 21, 0, -33, 0, 9, 0, -63, 0, 0, 0, 195, 0, 90, 0, -72, 0, 201, 0, 0, 0, 24, 0, 9, 0, -66, 0, -48, 0, 0, 0, 66, 0, 27, 0, 72, 0, -21, 0, 0, 0, -63, 0, -75, 0, 0, 0, -6, 0, 0, 0, 138, 0, 273, 0, 255, 0, 87, 0, 0, 0, -54, 0, 105, 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], [-0.6740271047517237, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.8792245316497613, 0.0], [0.0, 0.0], [-0.545687462060009, 0.0], [0.0, 0.0], [-0.30151134457776363, 0.0], [0.0, 0.0], [0.18446599894695423, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.6435359559022968, 0.0], [0.0, 0.0], [0.22941573387056177, 0.0], [0.0, 0.0], [1.2666482702463024, 0.0], [0.0, 0.0], [-0.4519443980824769, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0418352449033474, 0.0], [0.0, 0.0], [1.4803559508216892, 0.0], [0.0, 0.0], [-1.606375728919698, 0.0], [0.0, 0.0], [0.2032268186355493, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.02291885616300684, 0.0], [0.0, 0.0], [-0.12433508319535005, 0.0], [0.0, 0.0], [-0.2818173613966969, 0.0], [0.0, 0.0], [-0.4276840060177438, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.0773648667914923, 0.0], [0.0, 0.0], [2.5314848403542647, 0.0], [0.0, 0.0], [1.1077877819121817, 0.0], [0.0, 0.0], [0.8656688016814797, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.15463242288526668, 0.0], [0.0, 0.0], [1.4932164512376453, 0.0], [0.0, 0.0], [1.3547561681177531, 0.0], [0.0, 0.0], [1.0254692653168673, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.1739290196015584, 0.0], [0.0, 0.0], [0.3046227741482923, 0.0], [0.0, 0.0], [-1.164138662140354, 0.0], [0.0, 0.0], [0.8225697742062157, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5666075153012377, 0.0], [0.0, 0.0], [0.6190624681438307, 0.0], [0.0, 0.0], [-0.15653773169049726, 0.0], [0.0, 0.0], [-1.490706650237147, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9978000355343282, 0.0], [0.0, 0.0], [-1.0155822646727692, 0.0], [0.0, 0.0], [-0.3466530304763954, 0.0], [0.0, 0.0], [1.0827407817071837, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.5008001729541953, 0.0], [0.0, 0.0], [0.1645309604049407, 0.0], [0.0, 0.0]], 'angles': [None, -0.3047084100861446, None, -0.44440706429396154, None, -0.23529976946462636, -0.4035060242829848, -0.23170340123991817, -0.2862779265004225, -0.11737061513666819, -0.39843224561429497, -0.24817613545648043, -0.2725011974539409, -0.2842988862204442, -0.25615803688057637, -0.17875674085929963, -0.1158405002207874, -0.13155806812527196, -0.34983859777588866, -0.34887838991423903, -0.18254006947251122, -0.1999139367819572, -0.38385959961164734, -0.33476891629262506, -0.11493042636843157, -0.2163059048619571, -0.09313303852428947, -0.20581665998445553, -0.3919515655622449, -0.2360537471511985, -0.3325030723750906, -0.13827902077508175, -0.19710926496520628, -0.28593485176264716, -0.2131038306677726, -0.27510486107892496, -0.36479540520374537, -0.09783627745380845, -0.4011894475902416, -0.27631821586698163, -0.15788246560067, -0.17701463403683096, -0.11914220099613156, -0.1284370621430755, -0.38446857878762275, -0.2236958049254511, -0.26751558361979266, -0.20976806193910008, -0.11822513845513921, -0.23154110377754664, -0.2533214342834606, -0.29356555565008474, -0.19753523864014938, -0.26734452638202927, -0.19175089215102933, -0.22825232069359994, -0.22015062995094747, -0.40560757433543354, -0.2554714410445003, -0.4334892779764642, -0.2697420370781219, -0.11432335705375783, -0.19055776445702383, -0.23467480177112984, -0.22139419254382622, -0.16330957350386885, -0.25960884436429454, -0.33099204026559365, -0.16468586414355652, -0.38880436145764413, -0.33767930501089805, -0.29611560648530894, -0.2771415330439816, -0.21616978618310198, -0.24532265965221992, -0.23968458131394071, -0.3020417589969255, -0.10165012722979838, -0.21312903849923548, -0.3584577705525551, -0.3546135412140358, -0.39115626733789105, -0.12165054387212125, -0.04685137942383872, -0.31830316043531626, -0.23404327527128285, -0.3022497554529327, -0.26959538075177014, -0.2713695244045169, -0.36163666620538154, -0.3000063066265196, -0.20671714400065297, -0.3194936152252481, -0.1189938731304522, -0.20787109011057603, -0.22981176347573445, -0.31371682954400415, -0.20356827531320673, -0.06459628667742719, -0.35279274226086677], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -0.16744919110853515, 'hecke_orbit': 20, 'hecke_orbit_code': 85568392953596056, 'label': '2200.2.a.t.1.2', 'level': 2200, '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, 5, 7, 7, 4, 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': [34, 36, 40, 35, 38, 38, 35, 34], 'Nk2': 8800, 'analytic_conductor': 17.567088444681684, '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': [2200, 1, [551, 1101, 177, 1201], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 337, 'dim': 47, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 13], 'hecke_orbit_code': 33556632, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4], 'label': '2200.2.a', 'level': 2200, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 11], 'level_radical': 110, 'mf_dim': 384, 'mf_new_dim': 47, 'num_forms': 25, 'plus_dim': 21, 'prim_orbit_index': 1, 'relative_dim': 47, 'sturm_bound': 720, 'trace_bound': 11, 'trace_display': [0, -2, 0, -4], 'traces': [47, 0, -2, 0, 0, 0, -4, 0, 41, 0, 3, 0, -6, 0, 0, 0, 2, 0, -4, 0, 4, 0, -6, 0, 0, 0, -14, 0, 30, 0, -14, 0, 2, 0, 0, 0, 16, 0, 0, 0, 18, 0, -16, 0, 0, 0, 20, 0, 31, 0, -4, 0, 10, 0, 0, 0, 32, 0, 14, 0, 14, 0, 24, 0, 0, 0, -6, 0, 22, 0, -18, 0, -18, 0, 0, 0, 4, 0, -52, 0, 71, 0, -8, 0, 0, 0, 0, 0, 24, 0, -48, 0, -10, 0, 0, 0, -8, 0, 9, 0, -22, 0, 20, 0, 0, 0, 24, 0, -70, 0, -70, 0, 48, 0, 0, 0, 10, 0, 16, 0, 47, 0, 48, 0, 0, 0, 0, 0, 124, 0, 32, 0, -32, 0, 0, 0, 64, 0, -72, 0, 72, 0, 2, 0, 0, 0, -50, 0, -46, 0, -28, 0, 14, 0, 0, 0, -28, 0, 108, 0, 76, 0, -24, 0, 0, 0, -48, 0, 21, 0, -4, 0, 6, 0, 0, 0, -14, 0, 6, 0, -48, 0, 24, 0, 0, 0, -14, 0, 20, 0, 14, 0, 6, 0, 0, 0, 22, 0, -12, 0, -62, 0, 24, 0, 0, 0, -48, 0, -16, 0, -44, 0, -46, 0, 0, 0, -36, 0, -72, 0, -68, 0, -46, 0, 0, 0, -8, 0, 88, 0, -12, 0, -66, 0, 0, 0, -36, 0, -44, 0, 50, 0, 56, 0, 0, 0, -128, 0, -20, 0, 30, 0, -10, 0, 0, 0, 30, 0, -76, 0, 126, 0, -44, 0, 0, 0, 42, 0, -54, 0, -64, 0, 24, 0, 0, 0, 78, 0, -72, 0, 6, 0, -60, 0, 0, 0, 104, 0, 173, 0, -162, 0, -38, 0, 0, 0, 14, 0, 56, 0, -16, 0, -52, 0, 0, 0, -20, 0, -88, 0, -68, 0, -4, 0, 0, 0, 28, 0, 10, 0, 36, 0, 48, 0, 0, 0, 60, 0, 0, 0, -110, 0, 2, 0, 0, 0, -86, 0, -154, 0, -14, 0, -8, 0, 0, 0, 44, 0, 66, 0, 272, 0, 44, 0, 0, 0, 184, 0, 96, 0, 63, 0, -2, 0, 0, 0, 2, 0, 186, 0, 16, 0, 22, 0, 0, 0, -92, 0, 66, 0, 32, 0, 50, 0, 0, 0, -140, 0, -116, 0, 52, 0, 76, 0, 0, 0, 2, 0, -40, 0, -14, 0, 24, 0, 0, 0, -12, 0, -178, 0, -34, 0, 4, 0, 0, 0, 36, 0, -36, 0, -6, 0, 108, 0, 0, 0, 40, 0, -32, 0, 156, 0, -8, 0, 0, 0, -48, 0, 0, 0, -7, 0, -54, 0, 0, 0, 132, 0, 40, 0, 10, 0, -108, 0, 0, 0, -74, 0, -220, 0, -26, 0, -34, 0, 0, 0, -134, 0, -60, 0, -98, 0, 0, 0, 0, 0, 46, 0, -40, 0, 20, 0, 92, 0, 0, 0, 82, 0, -160, 0, 36, 0, 4, 0, 0, 0, 84, 0, 28, 0, -320, 0, 12, 0, 0, 0, -38, 0, -184, 0, -72, 0, 48, 0, 0, 0, 28, 0, 292, 0, -52, 0, -60, 0, 0, 0, -28, 0, 57, 0, -112, 0, -108, 0, 0, 0, -6, 0, 35, 0, -42, 0, 26, 0, 0, 0, 212, 0, -154, 0, 164, 0, 64, 0, 0, 0, -130, 0, -4, 0, 36, 0, 148, 0, 0, 0, 44, 0, 18, 0, -60, 0, -86, 0, 0, 0, 144, 0, -32, 0, -112, 0, 26, 0, 0, 0, -144, 0, -24, 0, -84, 0, 6, 0, 0, 0, -160, 0, 64, 0, -50, 0, -156, 0, 0, 0, -92, 0, 16, 0, -72, 0, 50, 0, 0, 0, -82, 0, -70, 0, -166, 0, -92, 0, 0, 0, -40, 0, -64, 0, 78, 0, 120, 0, 0, 0, -22, 0, 64, 0, 112, 0, -70, 0, 0, 0, -82, 0, -30, 0, 68, 0, -96, 0, 0, 0, -242, 0, 224, 0, -44, 0, -8, 0, 0, 0, 40, 0, -298, 0, 14, 0, 82, 0, 0, 0, -98, 0, -372, 0, -36, 0, 48, 0, 0, 0, -286, 0, 180, 0, -154, 0, -8, 0, 0, 0, 52, 0, 32, 0, 66, 0, -88, 0, 0, 0, 104, 0, -72, 0, -112, 0, -58, 0, 0, 0, 180, 0, 110, 0, -64, 0, -272, 0, 0, 0, 122, 0, 251, 0, 200, 0, 66, 0, 0, 0, 38, 0, -88, 0, -40, 0, 16, 0, 0, 0, 44, 0, 88, 0, -90, 0, -30, 0, 0, 0, -30, 0, -70, 0, 10, 0, -24, 0, 0, 0, 128, 0, 98, 0, 108, 0, 10, 0, 0, 0, -92, 0, -32, 0, 30, 0, -32, 0, 0, 0, 204, 0, 20, 0, 108, 0, 20, 0, 0, 0, 188, 0, -216, 0, 242, 0, -18, 0, 0, 0, -116, 0, 170, 0, 168, 0, -56, 0, 0, 0, -88, 0, 104, 0, 82, 0, 130, 0, 0, 0, -84, 0, -100, 0, 164, 0, 130, 0, 0, 0, -62, 0, -98, 0, 53, 0, -12, 0, 0, 0, -4, 0, -168, 0, 42, 0, 134, 0, 0, 0, -58, 0, 86, 0, -64, 0, 180, 0, 0, 0, 18, 0, -36, 0, -272, 0, 38, 0, 0, 0, -190, 0, 120, 0, 4, 0, 8, 0, 0, 0, 188, 0, 96, 0, -5, 0, -16, 0, 0, 0, -168, 0, -40, 0, -212, 0, -80, 0, 0, 0, -64, 0, 22, 0, -160, 0, -40, 0, 0, 0, 56, 0, -52, 0, -128, 0, 200, 0, 0, 0, 196, 0, -222, 0, -60, 0, -72, 0, 0, 0, 174, 0, 282, 0, -86, 0, -8, 0, 0, 0, -54, 0, -36, 0, -2, 0, 106, 0, 0, 0, 80, 0, 316, 0, 145, 0, 12, 0, 0, 0, 8, 0, 112, 0, 218, 0, -104, 0, 0, 0, 80, 0, 40, 0, -266, 0, 42, 0, 0, 0, 400, 0, 4, 0, 40, 0, -10, 0, 0, 0, -106, 0, -18, 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: 48247703
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 85568392953596056, 'source_is_minimal': True, 'source_label': '2200.2.a.t.1.2', 'source_level': 2200, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 85568392953596056, 'target_is_minimal': True, 'target_label': '2200.2.a.t.1.2', 'target_level': 2200, 'twist_class_label': '2200.2.a.t.1.2', 'twist_class_level': 2200, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48247704
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 85568392953596056, 'source_is_minimal': True, 'source_label': '2200.2.a.t.1.2', 'source_level': 2200, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 234187180656824624, 'target_is_minimal': False, 'target_label': '4400.2.a.ca.1.2', 'target_level': 4400, 'twist_class_label': '2200.2.a.t.1.2', 'twist_class_level': 2200, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48247705
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 85568392953596056, 'source_is_minimal': True, 'source_label': '2200.2.a.t.1.2', 'source_level': 2200, 'target_conrey_index': 1849, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 49539664654108824, 'target_is_minimal': False, 'target_label': '2200.2.b.l.1849.4', 'target_level': 2200, 'twist_class_label': '2200.2.a.t.1.2', 'twist_class_level': 2200, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48247706
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 85568392953596056, 'source_is_minimal': True, 'source_label': '2200.2.a.t.1.2', 'source_level': 2200, 'target_conrey_index': 1849, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 49539664654108824, 'target_is_minimal': False, 'target_label': '2200.2.b.l.1849.3', 'target_level': 2200, 'twist_class_label': '2200.2.a.t.1.2', 'twist_class_level': 2200, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48247707
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 85568392953596056, 'source_is_minimal': True, 'source_label': '2200.2.a.t.1.2', 'source_level': 2200, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 99079191835707544, 'target_is_minimal': True, 'target_label': '2200.2.a.w.1.2', 'target_level': 2200, 'twist_class_label': '2200.2.a.t.1.2', 'twist_class_level': 2200, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 48247708
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 85568392953596056, 'source_is_minimal': True, 'source_label': '2200.2.a.t.1.2', 'source_level': 2200, 'target_conrey_index': 4049, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 126100858319409456, 'target_is_minimal': False, 'target_label': '4400.2.b.bc.4049.4', 'target_level': 4400, 'twist_class_label': '2200.2.a.t.1.2', 'twist_class_level': 2200, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48247709
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 85568392953596056, 'source_is_minimal': True, 'source_label': '2200.2.a.t.1.2', 'source_level': 2200, 'target_conrey_index': 4049, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 126100858319409456, 'target_is_minimal': False, 'target_label': '4400.2.b.bc.4049.3', 'target_level': 4400, 'twist_class_label': '2200.2.a.t.1.2', 'twist_class_level': 2200, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 48247710
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 85568392953596056, 'source_is_minimal': True, 'source_label': '2200.2.a.t.1.2', 'source_level': 2200, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 220676381774713136, 'target_is_minimal': False, 'target_label': '4400.2.a.bx.1.2', 'target_level': 4400, 'twist_class_label': '2200.2.a.t.1.2', 'twist_class_level': 2200, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2492600
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 85568392953596056, 'p': 2}
  • id: 2492601
    {'charpoly_factorization': [[[-6, -3, 3, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 3}
  • id: 2492602
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 85568392953596056, 'p': 5}
  • id: 2492603
    {'charpoly_factorization': [[[4, -9, 3, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 7}
  • id: 2492604
    {'charpoly_factorization': [[[1, 1], 3]], 'hecke_orbit_code': 85568392953596056, 'p': 11}
  • id: 2492605
    {'charpoly_factorization': [[[15, -21, -3, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 13}
  • id: 2492606
    {'charpoly_factorization': [[[144, -45, -3, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 17}
  • id: 2492607
    {'charpoly_factorization': [[[-1, 1], 3]], 'hecke_orbit_code': 85568392953596056, 'p': 19}
  • id: 2492608
    {'charpoly_factorization': [[[-5, 6, 6, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 23}
  • id: 2492609
    {'charpoly_factorization': [[[-31, 36, -12, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 29}
  • id: 2492610
    {'charpoly_factorization': [[[73, -45, 3, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 31}
  • id: 2492611
    {'charpoly_factorization': [[[-4, 27, 12, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 37}
  • id: 2492612
    {'charpoly_factorization': [[[20, -3, -6, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 41}
  • id: 2492613
    {'charpoly_factorization': [[[12, -12, -3, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 43}
  • id: 2492614
    {'charpoly_factorization': [[[-8, -9, 12, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 47}
  • id: 2492615
    {'charpoly_factorization': [[[542, -69, -9, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 53}
  • id: 2492616
    {'charpoly_factorization': [[[100, 135, -24, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 59}
  • id: 2492617
    {'charpoly_factorization': [[[-346, -111, 3, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 61}
  • id: 2492618
    {'charpoly_factorization': [[[-128, -48, 6, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 67}
  • id: 2492619
    {'charpoly_factorization': [[[-1500, -102, 15, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 71}
  • id: 2492620
    {'charpoly_factorization': [[[-1184, 351, -33, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 73}
  • id: 2492621
    {'charpoly_factorization': [[[172, 21, -15, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 79}
  • id: 2492622
    {'charpoly_factorization': [[[13, -102, 6, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 83}
  • id: 2492623
    {'charpoly_factorization': [[[453, -102, -6, 1], 1]], 'hecke_orbit_code': 85568392953596056, 'p': 89}
  • id: 2492624
    {'charpoly_factorization': [[[2477, -120, -18, 1], 1]], 'hecke_orbit_code': 85568392953596056, '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': 20, 'label': '2200.2.a.t', 'level': 2200, '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: 63594655
    {'hecke_orbit_code': 85568392953596056, 'n': 1, 'trace_an': 3}
  • id: 63594656
    {'hecke_orbit_code': 85568392953596056, 'n': 2, 'trace_an': 0}
  • id: 63594657
    {'hecke_orbit_code': 85568392953596056, 'n': 3, 'trace_an': -3}
  • id: 63594658
    {'hecke_orbit_code': 85568392953596056, 'n': 4, 'trace_an': 0}
  • id: 63594659
    {'hecke_orbit_code': 85568392953596056, 'n': 5, 'trace_an': 0}
  • id: 63594660
    {'hecke_orbit_code': 85568392953596056, 'n': 6, 'trace_an': 0}
  • id: 63594661
    {'hecke_orbit_code': 85568392953596056, 'n': 7, 'trace_an': -3}
  • id: 63594662
    {'hecke_orbit_code': 85568392953596056, 'n': 8, 'trace_an': 0}
  • id: 63594663
    {'hecke_orbit_code': 85568392953596056, 'n': 9, 'trace_an': 6}
  • id: 63594664
    {'hecke_orbit_code': 85568392953596056, 'n': 10, 'trace_an': 0}
  • id: 63594665
    {'hecke_orbit_code': 85568392953596056, 'n': 11, 'trace_an': -3}
  • id: 63594666
    {'hecke_orbit_code': 85568392953596056, 'n': 12, 'trace_an': 0}
  • id: 63594667
    {'hecke_orbit_code': 85568392953596056, 'n': 13, 'trace_an': 3}
  • id: 63594668
    {'hecke_orbit_code': 85568392953596056, 'n': 14, 'trace_an': 0}
  • id: 63594669
    {'hecke_orbit_code': 85568392953596056, 'n': 15, 'trace_an': 0}
  • id: 63594670
    {'hecke_orbit_code': 85568392953596056, 'n': 16, 'trace_an': 0}
  • id: 63594671
    {'hecke_orbit_code': 85568392953596056, 'n': 17, 'trace_an': 3}
  • id: 63594672
    {'hecke_orbit_code': 85568392953596056, 'n': 18, 'trace_an': 0}
  • id: 63594673
    {'hecke_orbit_code': 85568392953596056, 'n': 19, 'trace_an': 3}
  • id: 63594674
    {'hecke_orbit_code': 85568392953596056, 'n': 20, 'trace_an': 0}
  • id: 63594675
    {'hecke_orbit_code': 85568392953596056, 'n': 21, 'trace_an': 6}
  • id: 63594676
    {'hecke_orbit_code': 85568392953596056, 'n': 22, 'trace_an': 0}
  • id: 63594677
    {'hecke_orbit_code': 85568392953596056, 'n': 23, 'trace_an': -6}
  • id: 63594678
    {'hecke_orbit_code': 85568392953596056, 'n': 24, 'trace_an': 0}
  • id: 63594679
    {'hecke_orbit_code': 85568392953596056, 'n': 25, 'trace_an': 0}
  • id: 63594680
    {'hecke_orbit_code': 85568392953596056, 'n': 26, 'trace_an': 0}
  • id: 63594681
    {'hecke_orbit_code': 85568392953596056, 'n': 27, 'trace_an': -18}
  • id: 63594682
    {'hecke_orbit_code': 85568392953596056, 'n': 28, 'trace_an': 0}
  • id: 63594683
    {'hecke_orbit_code': 85568392953596056, 'n': 29, 'trace_an': 12}
  • id: 63594684
    {'hecke_orbit_code': 85568392953596056, 'n': 30, 'trace_an': 0}
  • id: 63594685
    {'hecke_orbit_code': 85568392953596056, 'n': 31, 'trace_an': -3}
  • id: 63594686
    {'hecke_orbit_code': 85568392953596056, 'n': 32, 'trace_an': 0}
  • id: 63594687
    {'hecke_orbit_code': 85568392953596056, 'n': 33, 'trace_an': 3}
  • id: 63594688
    {'hecke_orbit_code': 85568392953596056, 'n': 34, 'trace_an': 0}
  • id: 63594689
    {'hecke_orbit_code': 85568392953596056, 'n': 35, 'trace_an': 0}
  • id: 63594690
    {'hecke_orbit_code': 85568392953596056, 'n': 36, 'trace_an': 0}
  • id: 63594691
    {'hecke_orbit_code': 85568392953596056, 'n': 37, 'trace_an': -12}
  • id: 63594692
    {'hecke_orbit_code': 85568392953596056, 'n': 38, 'trace_an': 0}
  • id: 63594693
    {'hecke_orbit_code': 85568392953596056, 'n': 39, 'trace_an': 21}
  • id: 63594694
    {'hecke_orbit_code': 85568392953596056, 'n': 40, 'trace_an': 0}
  • id: 63594695
    {'hecke_orbit_code': 85568392953596056, 'n': 41, 'trace_an': 6}
  • id: 63594696
    {'hecke_orbit_code': 85568392953596056, 'n': 42, 'trace_an': 0}
  • id: 63594697
    {'hecke_orbit_code': 85568392953596056, 'n': 43, 'trace_an': 3}
  • id: 63594698
    {'hecke_orbit_code': 85568392953596056, 'n': 44, 'trace_an': 0}
  • id: 63594699
    {'hecke_orbit_code': 85568392953596056, 'n': 45, 'trace_an': 0}
  • id: 63594700
    {'hecke_orbit_code': 85568392953596056, 'n': 46, 'trace_an': 0}
  • id: 63594701
    {'hecke_orbit_code': 85568392953596056, 'n': 47, 'trace_an': -12}
  • id: 63594702
    {'hecke_orbit_code': 85568392953596056, 'n': 48, 'trace_an': 0}
  • id: 63594703
    {'hecke_orbit_code': 85568392953596056, 'n': 49, 'trace_an': 6}
  • id: 63594704
    {'hecke_orbit_code': 85568392953596056, 'n': 50, 'trace_an': 0}
  • id: 63594705
    {'hecke_orbit_code': 85568392953596056, 'n': 51, 'trace_an': -9}
  • id: 63594706
    {'hecke_orbit_code': 85568392953596056, 'n': 52, 'trace_an': 0}
  • id: 63594707
    {'hecke_orbit_code': 85568392953596056, 'n': 53, 'trace_an': 9}
  • id: 63594708
    {'hecke_orbit_code': 85568392953596056, 'n': 54, 'trace_an': 0}
  • id: 63594709
    {'hecke_orbit_code': 85568392953596056, 'n': 55, 'trace_an': 0}
  • id: 63594710
    {'hecke_orbit_code': 85568392953596056, 'n': 56, 'trace_an': 0}
  • id: 63594711
    {'hecke_orbit_code': 85568392953596056, 'n': 57, 'trace_an': -3}
  • id: 63594712
    {'hecke_orbit_code': 85568392953596056, 'n': 58, 'trace_an': 0}
  • id: 63594713
    {'hecke_orbit_code': 85568392953596056, 'n': 59, 'trace_an': 24}
  • id: 63594714
    {'hecke_orbit_code': 85568392953596056, 'n': 60, 'trace_an': 0}
  • id: 63594715
    {'hecke_orbit_code': 85568392953596056, 'n': 61, 'trace_an': -3}
  • id: 63594716
    {'hecke_orbit_code': 85568392953596056, 'n': 62, 'trace_an': 0}
  • id: 63594717
    {'hecke_orbit_code': 85568392953596056, 'n': 63, 'trace_an': 12}
  • id: 63594718
    {'hecke_orbit_code': 85568392953596056, 'n': 64, 'trace_an': 0}
  • id: 63594719
    {'hecke_orbit_code': 85568392953596056, 'n': 65, 'trace_an': 0}
  • id: 63594720
    {'hecke_orbit_code': 85568392953596056, 'n': 66, 'trace_an': 0}
  • id: 63594721
    {'hecke_orbit_code': 85568392953596056, 'n': 67, 'trace_an': -6}
  • id: 63594722
    {'hecke_orbit_code': 85568392953596056, 'n': 68, 'trace_an': 0}
  • id: 63594723
    {'hecke_orbit_code': 85568392953596056, 'n': 69, 'trace_an': 18}
  • id: 63594724
    {'hecke_orbit_code': 85568392953596056, 'n': 70, 'trace_an': 0}
  • id: 63594725
    {'hecke_orbit_code': 85568392953596056, 'n': 71, 'trace_an': -15}
  • id: 63594726
    {'hecke_orbit_code': 85568392953596056, 'n': 72, 'trace_an': 0}
  • id: 63594727
    {'hecke_orbit_code': 85568392953596056, 'n': 73, 'trace_an': 33}
  • id: 63594728
    {'hecke_orbit_code': 85568392953596056, 'n': 74, 'trace_an': 0}
  • id: 63594729
    {'hecke_orbit_code': 85568392953596056, 'n': 75, 'trace_an': 0}
  • id: 63594730
    {'hecke_orbit_code': 85568392953596056, 'n': 76, 'trace_an': 0}
  • id: 63594731
    {'hecke_orbit_code': 85568392953596056, 'n': 77, 'trace_an': 3}
  • id: 63594732
    {'hecke_orbit_code': 85568392953596056, 'n': 78, 'trace_an': 0}
  • id: 63594733
    {'hecke_orbit_code': 85568392953596056, 'n': 79, 'trace_an': 15}
  • id: 63594734
    {'hecke_orbit_code': 85568392953596056, 'n': 80, 'trace_an': 0}
  • id: 63594735
    {'hecke_orbit_code': 85568392953596056, 'n': 81, 'trace_an': 27}
  • id: 63594736
    {'hecke_orbit_code': 85568392953596056, 'n': 82, 'trace_an': 0}
  • id: 63594737
    {'hecke_orbit_code': 85568392953596056, 'n': 83, 'trace_an': -6}
  • id: 63594738
    {'hecke_orbit_code': 85568392953596056, 'n': 84, 'trace_an': 0}
  • id: 63594739
    {'hecke_orbit_code': 85568392953596056, 'n': 85, 'trace_an': 0}
  • id: 63594740
    {'hecke_orbit_code': 85568392953596056, 'n': 86, 'trace_an': 0}
  • id: 63594741
    {'hecke_orbit_code': 85568392953596056, 'n': 87, 'trace_an': -15}
  • id: 63594742
    {'hecke_orbit_code': 85568392953596056, 'n': 88, 'trace_an': 0}
  • id: 63594743
    {'hecke_orbit_code': 85568392953596056, 'n': 89, 'trace_an': 6}
  • id: 63594744
    {'hecke_orbit_code': 85568392953596056, 'n': 90, 'trace_an': 0}
  • id: 63594745
    {'hecke_orbit_code': 85568392953596056, 'n': 91, 'trace_an': 3}
  • id: 63594746
    {'hecke_orbit_code': 85568392953596056, 'n': 92, 'trace_an': 0}
  • id: 63594747
    {'hecke_orbit_code': 85568392953596056, 'n': 93, 'trace_an': 9}
  • id: 63594748
    {'hecke_orbit_code': 85568392953596056, 'n': 94, 'trace_an': 0}
  • id: 63594749
    {'hecke_orbit_code': 85568392953596056, 'n': 95, 'trace_an': 0}
  • id: 63594750
    {'hecke_orbit_code': 85568392953596056, 'n': 96, 'trace_an': 0}
  • id: 63594751
    {'hecke_orbit_code': 85568392953596056, 'n': 97, 'trace_an': 18}
  • id: 63594752
    {'hecke_orbit_code': 85568392953596056, 'n': 98, 'trace_an': 0}
  • id: 63594753
    {'hecke_orbit_code': 85568392953596056, 'n': 99, 'trace_an': -6}
  • id: 63594754
    {'hecke_orbit_code': 85568392953596056, 'n': 100, 'trace_an': 0}