Embedded newform data - 256.4.a.k.1.1

Formats: - HTML - YAML - JSON - 2025-04-04T08:25:25.051814

• 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': 4096, 'analytic_conductor': 15.104488961469597, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -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': [256, 1, [255, 5], [1, 1]], 'cm_discs': [-8], 'conrey_index': 1, 'dim': 2, 'field_disc': 8, 'field_disc_factorization': [[2, 3]], 'field_poly': [-2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 8, 'fricke_eigenval': -1, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [-8, 0, 1]], [5, [0, 1]], [7, [0, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45035996340814080, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 4, -1, 2, -8], [1, 1, 8, 2, 1, 2, 0], [1, 1, 4, 2, -1, 2, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '256.4.a.k', 'level': 256, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '128.4.b.b', 'nf_label': '2.2.8.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta q^{3}-19q^{9}-5^{2}\\beta q^{11}-90q^{17}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.1.d1', 'self_twist_discs': [-8], 'self_twist_type': 1, 'space_label': '256.4.a', 'trace_display': [0, 0, 0, 0], 'trace_hash': 860874231437735474, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.900', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '22.394', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '292.269', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.759', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 0, 0, -38, 0, 0, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 0, 0, -250, 0, 0, 0, 0, 0, 0, 0, -400, 0, 0, 0, 0, 0, 0, 0, -1044, 0, 0, 0, 0, 0, 0, 0, -686, 0, 0, 0, 0, 0, 0, 0, 720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -860, 0, 0, 0, 0, 0, 0, 0, 290, 0, 0, 0, 0, 0, 0, 0, 2052, 0, 0, 0, 0, 0, 0, 0, 3820, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -540, 0, 0, 0, 0, 0, 0, 0, 7338, 0, 0, 0, 0, 0, 0, 0, 2736, 0, 0, 0, 0, 0, 0, 0, -4500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3420, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4394, 0, 0, 0, 0, 0, 0, 0, 1840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4180, 0, 0, 0, 0, 0, 0, 0, -6192, 0, 0, 0, 0, 0, 0, 0, -18000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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• 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

  
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-0.25, -0.25, -0.25], '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': -1.4142135623730951, 'hecke_orbit': 11, 'hecke_orbit_code': 45035996340814080, 'label': '256.4.a.k.1.1', 'level': 256, 'weight': 4}
• mf_newspaces •

  Column	Type
  ALdims	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': [12, 10], 'Nk2': 4096, 'analytic_conductor': 15.104488961469597, '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': [256, 1, [255, 5], [1, 1]], 'conrey_index': 1, 'cusp_dim': 84, 'dim': 22, 'eis_dim': 24, 'eis_new_dim': 4, 'hecke_cutter_primes': [3, 5, 7], 'hecke_orbit_code': 67109120, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 4], 'label': '256.4.a', 'level': 256, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 108, 'mf_new_dim': 26, 'num_forms': 14, 'plus_dim': 12, 'prim_orbit_index': 1, 'relative_dim': 22, 'sturm_bound': 128, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [22, 0, 0, 0, 0, 0, 0, 0, 166, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 354, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 1926, 0, 0, 0, 0, 0, 0, 0, 568, 0, 0, 0, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, -1452, 0, 0, 0, 0, 0, 0, 0, 590, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, -3172, 0, 0, 0, 0, 0, 0, 0, 768, 0, 0, 0, 0, 0, 0, 0, -2164, 0, 0, 0, 0, 0, 0, 0, -2474, 0, 0, 0, 0, 0, 0, 0, -10136, 0, 0, 0, 0, 0, 0, 0, -4412, 0, 0, 0, 0, 0, 0, 0, 3360, 0, 0, 0, 0, 0, 0, 0, 1116, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -10414, 0, 0, 0, 0, 0, 0, 0, 17320, 0, 0, 0, 0, 0, 0, 0, 18592, 0, 0, 0, 0, 0, 0, 0, 4188, 0, 0, 0, 0, 0, 0, 0, 9592, 0, 0, 0, 0, 0, 0, 0, 9000, 0, 0, 0, 0, 0, 0, 0, -13312, 0, 0, 0, 0, 0, 0, 0, -878, 0, 0, 0, 0, 0, 0, 0, 15124, 0, 0, 0, 0, 0, 0, 0, -15172, 0, 0, 0, 0, 0, 0, 0, -6216, 0, 0, 0, 0, 0, 0, 0, -2388, 0, 0, 0, 0, 0, 0, 0, -7392, 0, 0, 0, 0, 0, 0, 0, -12544, 0, 0, 0, 0, 0, 0, 0, 15540, 0, 0, 0, 0, 0, 0, 0, 930, 0, 0, 0, 0, 0, 0, 0, -8336, 0, 0, 0, 0, 0, 0, 0, 31136, 0, 0, 0, 0, 0, 0, 0, 26596, 0, 0, 0, 0, 0, 0, 0, -19992, 0, 0, 0, 0, 0, 0, 0, 4608, 0, 0, 0, 0, 0, 0, 0, -7988, 0, 0, 0, 0, 0, 0, 0, -34560, 0, 0, 0, 0, 0, 0, 0, 45420, 0, 0, 0, 0, 0, 0, 0, 2822, 0, 0, 0, 0, 0, 0, 0, -48924, 0, 0, 0, 0, 0, 0, 0, -43232, 0, 0, 0, 0, 0, 0, 0, -14080, 0, 0, 0, 0, 0, 0, 0, -51080, 0, 0, 0, 0, 0, 0, 0, -28676, 0, 0, 0, 0, 0, 0, 0, -35804, 0, 0, 0, 0, 0, 0, 0, 2536, 0, 0, 0, 0, 0, 0, 0, 25780, 0, 0, 0, 0, 0, 0, 0, 39740, 0, 0, 0, 0, 0, 0, 0, 50838, 0, 0, 0, 0, 0, 0, 0, 16476, 0, 0, 0, 0, 0, 0, 0, 72644, 0, 0, 0, 0, 0, 0, 0, -60416, 0, 0, 0, 0, 0, 0, 0, 30136, 0, 0, 0, 0, 0, 0, 0, 38560, 0, 0, 0, 0, 0, 0, 0, 1144, 0, 0, 0, 0, 0, 0, 0, -29440, 0, 0, 0, 0, 0, 0, 0, -26720, 0, 0, 0, 0, 0, 0, 0, 65104, 0, 0, 0, 0, 0, 0, 0, -24892, 0, 0, 0, 0, 0, 0, 0, 5990, 0, 0, 0, 0, 0, 0, 0, -59848, 0, 0, 0, 0, 0, 0, 0, -20064, 0, 0, 0, 0, 0, 0, 0, 56832, 0, 0, 0, 0, 0, 0, 0, 104400, 0, 0, 0, 0, 0, 0, 0, 146020, 0, 0, 0, 0, 0, 0, 0, -119380, 0, 0, 0, 0, 0, 0, 0, 56224, 0, 0, 0, 0, 0, 0, 0, 8396, 0, 0, 0, 0, 0, 0, 0, 4276, 0, 0, 0, 0, 0, 0, 0, 168704, 0, 0, 0, 0, 0, 0, 0, -139884, 0, 0, 0, 0, 0, 0, 0, -129562, 0, 0, 0, 0, 0, 0, 0, -71752, 0, 0, 0, 0, 0, 0, 0, 67292, 0, 0, 0, 0, 0, 0, 0, -114824, 0, 0, 0, 0, 0, 0, 0, 34036, 0, 0, 0, 0, 0, 0, 0, -136448, 0, 0, 0, 0, 0, 0, 0, -103140, 0, 0, 0, 0, 0, 0, 0, 156024, 0, 0, 0, 0, 0, 0, 0, 71968, 0, 0, 0, 0, 0, 0, 0, 49000, 0, 0, 0, 0, 0, 0, 0, -197120, 0, 0, 0, 0, 0, 0, 0, 107520, 0, 0, 0, 0, 0, 0, 0, -65280, 0, 0, 0, 0, 0, 0, 0, 59758, 0, 0, 0, 0, 0, 0, 0, 81640, 0, 0, 0, 0, 0, 0, 0, -92512, 0, 0, 0, 0, 0, 0, 0, -63832, 0, 0, 0, 0, 0, 0, 0, -69532, 0, 0, 0, 0, 0, 0, 0, 177884, 0, 0, 0, 0, 0, 0, 0, -165120, 0, 0, 0, 0, 0, 0, 0, -7264, 0, 0, 0, 0, 0, 0, 0, -28768, 0, 0, 0, 0, 0, 0, 0, -266156, 0, 0, 0, 0, 0, 0, 0, 73732, 0, 0, 0, 0, 0, 0, 0, 223272, 0, 0, 0, 0, 0, 0, 0, 281656, 0, 0, 0, 0, 0, 0, 0, -278692, 0, 0, 0, 0, 0, 0, 0, 128562, 0, 0, 0, 0, 0, 0, 0, 62376, 0, 0, 0, 0, 0, 0, 0, 91172, 0, 0, 0, 0, 0, 0, 0, 259104, 0, 0, 0, 0, 0, 0, 0, -191748, 0, 0, 0, 0, 0, 0, 0, -182004, 0, 0, 0, 0, 0, 0, 0, -217088, 0, 0, 0, 0, 0, 0, 0, 72960, 0, 0, 0, 0, 0, 0, 0, -368480, 0, 0, 0, 0, 0, 0, 0, 76968, 0, 0, 0, 0, 0, 0, 0, -244808, 0, 0, 0, 0, 0, 0, 0, -230116, 0, 0, 0, 0, 0, 0, 0, 223636, 0, 0, 0, 0, 0, 0, 0, 373248, 0, 0, 0, 0, 0, 0, 0, 285284, 0, 0, 0, 0, 0, 0, 0, -143402, 0, 0, 0, 0, 0, 0, 0, 563056, 0, 0, 0, 0, 0, 0, 0, -185988, 0, 0, 0, 0, 0, 0, 0, 199968, 0, 0, 0, 0, 0, 0, 0, 380264, 0, 0, 0, 0, 0, 0, 0], 'weight': 4, '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: 47131195
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996340814080, 'source_is_minimal': False, 'source_label': '256.4.a.k.1.1', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996340814080, 'target_is_minimal': False, 'target_label': '256.4.a.k.1.1', 'target_level': 256, 'twist_class_label': '128.4.b.b.65.1', 'twist_class_level': 128, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 47131196
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996340814080, 'source_is_minimal': False, 'source_label': '256.4.a.k.1.1', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 139611588515596544, 'target_is_minimal': False, 'target_label': '2304.4.a.bf.1.1', 'target_level': 2304, 'twist_class_label': '128.4.b.b.65.1', 'twist_class_level': 128, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47131197
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996340814080, 'source_is_minimal': False, 'source_label': '256.4.a.k.1.1', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45035996340814080, 'target_is_minimal': False, 'target_label': '256.4.a.k.1.2', 'target_level': 256, 'twist_class_label': '128.4.b.b.65.1', 'twist_class_level': 128, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 47131198
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996340814080, 'source_is_minimal': False, 'source_label': '256.4.a.k.1.1', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996340814080, 'target_is_minimal': False, 'target_label': '256.4.a.k.1.1', 'target_level': 256, 'twist_class_label': '128.4.b.b.65.1', 'twist_class_level': 128, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 47131199
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996340814080, 'source_is_minimal': False, 'source_label': '256.4.a.k.1.1', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45035996340814080, 'target_is_minimal': False, 'target_label': '256.4.a.k.1.2', 'target_level': 256, 'twist_class_label': '128.4.b.b.65.1', 'twist_class_level': 128, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 47131200
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996340814080, 'source_is_minimal': False, 'source_label': '256.4.a.k.1.1', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 139611588515596544, 'target_is_minimal': False, 'target_label': '2304.4.a.bf.1.2', 'target_level': 2304, 'twist_class_label': '128.4.b.b.65.1', 'twist_class_level': 128, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 47131201
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996340814080, 'source_is_minimal': False, 'source_label': '256.4.a.k.1.1', 'source_level': 256, 'target_conrey_index': 65, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503668413956224, 'target_is_minimal': True, 'target_label': '128.4.b.b.65.2', 'target_level': 128, 'twist_class_label': '128.4.b.b.65.1', 'twist_class_level': 128, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 47131202
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996340814080, 'source_is_minimal': False, 'source_label': '256.4.a.k.1.1', 'source_level': 256, 'target_conrey_index': 65, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503668413956224, 'target_is_minimal': True, 'target_label': '128.4.b.b.65.2', 'target_level': 128, 'twist_class_label': '128.4.b.b.65.1', 'twist_class_level': 128, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 47131203
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996340814080, 'source_is_minimal': False, 'source_label': '256.4.a.k.1.1', 'source_level': 256, 'target_conrey_index': 65, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503668413956224, 'target_is_minimal': True, 'target_label': '128.4.b.b.65.1', 'target_level': 128, 'twist_class_label': '128.4.b.b.65.1', 'twist_class_level': 128, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 47131204
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996340814080, 'source_is_minimal': False, 'source_label': '256.4.a.k.1.1', 'source_level': 256, 'target_conrey_index': 65, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503668413956224, 'target_is_minimal': True, 'target_label': '128.4.b.b.65.1', 'target_level': 128, 'twist_class_label': '128.4.b.b.65.1', 'twist_class_level': 128, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 4}
  • id: 47131205
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996340814080, 'source_is_minimal': False, 'source_label': '256.4.a.k.1.1', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 139611588515596544, 'target_is_minimal': False, 'target_label': '2304.4.a.bf.1.2', 'target_level': 2304, 'twist_class_label': '128.4.b.b.65.1', 'twist_class_level': 128, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 47131206
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996340814080, 'source_is_minimal': False, 'source_label': '256.4.a.k.1.1', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 139611588515596544, 'target_is_minimal': False, 'target_label': '2304.4.a.bf.1.1', 'target_level': 2304, 'twist_class_label': '128.4.b.b.65.1', 'twist_class_level': 128, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 47131207
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996340814080, 'source_is_minimal': False, 'source_label': '256.4.a.k.1.1', 'source_level': 256, 'target_conrey_index': 577, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014604735022208, 'target_is_minimal': False, 'target_label': '1152.4.d.e.577.1', 'target_level': 1152, 'twist_class_label': '128.4.b.b.65.1', 'twist_class_level': 128, 'twisting_char_label': '48.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 47131208
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996340814080, 'source_is_minimal': False, 'source_label': '256.4.a.k.1.1', 'source_level': 256, 'target_conrey_index': 577, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014604735022208, 'target_is_minimal': False, 'target_label': '1152.4.d.e.577.2', 'target_level': 1152, 'twist_class_label': '128.4.b.b.65.1', 'twist_class_level': 128, 'twisting_char_label': '48.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 47131209
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996340814080, 'source_is_minimal': False, 'source_label': '256.4.a.k.1.1', 'source_level': 256, 'target_conrey_index': 577, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014604735022208, 'target_is_minimal': False, 'target_label': '1152.4.d.e.577.2', 'target_level': 1152, 'twist_class_label': '128.4.b.b.65.1', 'twist_class_level': 128, 'twisting_char_label': '48.29', 'twisting_conrey_index': 29, 'weight': 4}
  • id: 47131210
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996340814080, 'source_is_minimal': False, 'source_label': '256.4.a.k.1.1', 'source_level': 256, 'target_conrey_index': 577, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014604735022208, 'target_is_minimal': False, 'target_label': '1152.4.d.e.577.1', 'target_level': 1152, 'twist_class_label': '128.4.b.b.65.1', 'twist_class_level': 128, 'twisting_char_label': '48.35', 'twisting_conrey_index': 35, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 472425
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 2}
  • id: 472426
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 45035996340814080, 'p': 3}
  • id: 472427
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 5}
  • id: 472428
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 7}
  • id: 472429
    {'charpoly_factorization': [[[-5000, 0, 1], 1]], 'hecke_orbit_code': 45035996340814080, 'p': 11}
  • id: 472430
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 13}
  • id: 472431
    {'charpoly_factorization': [[[90, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 17}
  • id: 472432
    {'charpoly_factorization': [[[-16200, 0, 1], 1]], 'hecke_orbit_code': 45035996340814080, 'p': 19}
  • id: 472433
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 23}
  • id: 472434
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 29}
  • id: 472435
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 31}
  • id: 472436
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 37}
  • id: 472437
    {'charpoly_factorization': [[[522, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 41}
  • id: 472438
    {'charpoly_factorization': [[[-233928, 0, 1], 1]], 'hecke_orbit_code': 45035996340814080, 'p': 43}
  • id: 472439
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 47}
  • id: 472440
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 53}
  • id: 472441
    {'charpoly_factorization': [[[-105800, 0, 1], 1]], 'hecke_orbit_code': 45035996340814080, 'p': 59}
  • id: 472442
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 61}
  • id: 472443
    {'charpoly_factorization': [[[-1198152, 0, 1], 1]], 'hecke_orbit_code': 45035996340814080, 'p': 67}
  • id: 472444
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 71}
  • id: 472445
    {'charpoly_factorization': [[[430, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 73}
  • id: 472446
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 79}
  • id: 472447
    {'charpoly_factorization': [[[-464648, 0, 1], 1]], 'hecke_orbit_code': 45035996340814080, 'p': 83}
  • id: 472448
    {'charpoly_factorization': [[[-1026, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 89}
  • id: 472449
    {'charpoly_factorization': [[[-1910, 1], 2]], 'hecke_orbit_code': 45035996340814080, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 11, 'label': '256.4.a.k', 'level': 256, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 55140253
    {'hecke_orbit_code': 45035996340814080, 'n': 1, 'trace_an': 2}
  • id: 55140254
    {'hecke_orbit_code': 45035996340814080, 'n': 2, 'trace_an': 0}
  • id: 55140255
    {'hecke_orbit_code': 45035996340814080, 'n': 3, 'trace_an': 0}
  • id: 55140256
    {'hecke_orbit_code': 45035996340814080, 'n': 4, 'trace_an': 0}
  • id: 55140257
    {'hecke_orbit_code': 45035996340814080, 'n': 5, 'trace_an': 0}
  • id: 55140258
    {'hecke_orbit_code': 45035996340814080, 'n': 6, 'trace_an': 0}
  • id: 55140259
    {'hecke_orbit_code': 45035996340814080, 'n': 7, 'trace_an': 0}
  • id: 55140260
    {'hecke_orbit_code': 45035996340814080, 'n': 8, 'trace_an': 0}
  • id: 55140261
    {'hecke_orbit_code': 45035996340814080, 'n': 9, 'trace_an': -38}
  • id: 55140262
    {'hecke_orbit_code': 45035996340814080, 'n': 10, 'trace_an': 0}
  • id: 55140263
    {'hecke_orbit_code': 45035996340814080, 'n': 11, 'trace_an': 0}
  • id: 55140264
    {'hecke_orbit_code': 45035996340814080, 'n': 12, 'trace_an': 0}
  • id: 55140265
    {'hecke_orbit_code': 45035996340814080, 'n': 13, 'trace_an': 0}
  • id: 55140266
    {'hecke_orbit_code': 45035996340814080, 'n': 14, 'trace_an': 0}
  • id: 55140267
    {'hecke_orbit_code': 45035996340814080, 'n': 15, 'trace_an': 0}
  • id: 55140268
    {'hecke_orbit_code': 45035996340814080, 'n': 16, 'trace_an': 0}
  • id: 55140269
    {'hecke_orbit_code': 45035996340814080, 'n': 17, 'trace_an': -180}
  • id: 55140270
    {'hecke_orbit_code': 45035996340814080, 'n': 18, 'trace_an': 0}
  • id: 55140271
    {'hecke_orbit_code': 45035996340814080, 'n': 19, 'trace_an': 0}
  • id: 55140272
    {'hecke_orbit_code': 45035996340814080, 'n': 20, 'trace_an': 0}
  • id: 55140273
    {'hecke_orbit_code': 45035996340814080, 'n': 21, 'trace_an': 0}
  • id: 55140274
    {'hecke_orbit_code': 45035996340814080, 'n': 22, 'trace_an': 0}
  • id: 55140275
    {'hecke_orbit_code': 45035996340814080, 'n': 23, 'trace_an': 0}
  • id: 55140276
    {'hecke_orbit_code': 45035996340814080, 'n': 24, 'trace_an': 0}
  • id: 55140277
    {'hecke_orbit_code': 45035996340814080, 'n': 25, 'trace_an': -250}
  • id: 55140278
    {'hecke_orbit_code': 45035996340814080, 'n': 26, 'trace_an': 0}
  • id: 55140279
    {'hecke_orbit_code': 45035996340814080, 'n': 27, 'trace_an': 0}
  • id: 55140280
    {'hecke_orbit_code': 45035996340814080, 'n': 28, 'trace_an': 0}
  • id: 55140281
    {'hecke_orbit_code': 45035996340814080, 'n': 29, 'trace_an': 0}
  • id: 55140282
    {'hecke_orbit_code': 45035996340814080, 'n': 30, 'trace_an': 0}
  • id: 55140283
    {'hecke_orbit_code': 45035996340814080, 'n': 31, 'trace_an': 0}
  • id: 55140284
    {'hecke_orbit_code': 45035996340814080, 'n': 32, 'trace_an': 0}
  • id: 55140285
    {'hecke_orbit_code': 45035996340814080, 'n': 33, 'trace_an': -400}
  • id: 55140286
    {'hecke_orbit_code': 45035996340814080, 'n': 34, 'trace_an': 0}
  • id: 55140287
    {'hecke_orbit_code': 45035996340814080, 'n': 35, 'trace_an': 0}
  • id: 55140288
    {'hecke_orbit_code': 45035996340814080, 'n': 36, 'trace_an': 0}
  • id: 55140289
    {'hecke_orbit_code': 45035996340814080, 'n': 37, 'trace_an': 0}
  • id: 55140290
    {'hecke_orbit_code': 45035996340814080, 'n': 38, 'trace_an': 0}
  • id: 55140291
    {'hecke_orbit_code': 45035996340814080, 'n': 39, 'trace_an': 0}
  • id: 55140292
    {'hecke_orbit_code': 45035996340814080, 'n': 40, 'trace_an': 0}
  • id: 55140293
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    {'hecke_orbit_code': 45035996340814080, 'n': 877, 'trace_an': 0}
  • id: 55140493
    {'hecke_orbit_code': 45035996340814080, 'n': 881, 'trace_an': -83484}
  • id: 55140494
    {'hecke_orbit_code': 45035996340814080, 'n': 883, 'trace_an': 0}
  • id: 55140495
    {'hecke_orbit_code': 45035996340814080, 'n': 887, 'trace_an': 0}
  • id: 55140496
    {'hecke_orbit_code': 45035996340814080, 'n': 907, 'trace_an': 0}
  • id: 55140497
    {'hecke_orbit_code': 45035996340814080, 'n': 911, 'trace_an': 0}
  • id: 55140498
    {'hecke_orbit_code': 45035996340814080, 'n': 919, 'trace_an': 0}
  • id: 55140499
    {'hecke_orbit_code': 45035996340814080, 'n': 929, 'trace_an': 13932}
  • id: 55140500
    {'hecke_orbit_code': 45035996340814080, 'n': 937, 'trace_an': -112540}
  • id: 55140501
    {'hecke_orbit_code': 45035996340814080, 'n': 941, 'trace_an': 0}
  • id: 55140502
    {'hecke_orbit_code': 45035996340814080, 'n': 947, 'trace_an': 0}
  • id: 55140503
    {'hecke_orbit_code': 45035996340814080, 'n': 953, 'trace_an': 91980}
  • id: 55140504
    {'hecke_orbit_code': 45035996340814080, 'n': 961, 'trace_an': -59582}
  • id: 55140505
    {'hecke_orbit_code': 45035996340814080, 'n': 967, 'trace_an': 0}
  • id: 55140506
    {'hecke_orbit_code': 45035996340814080, 'n': 971, 'trace_an': 0}
  • id: 55140507
    {'hecke_orbit_code': 45035996340814080, 'n': 977, 'trace_an': -34740}
  • id: 55140508
    {'hecke_orbit_code': 45035996340814080, 'n': 983, 'trace_an': 0}
  • id: 55140509
    {'hecke_orbit_code': 45035996340814080, 'n': 991, 'trace_an': 0}
  • id: 55140510
    {'hecke_orbit_code': 45035996340814080, 'n': 997, 'trace_an': 0}