Embedded newform data - 3888.2.a.b.1.1

Formats: - HTML - YAML - JSON - 2025-09-17T03:34:34.010352

• 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': 15552, 'analytic_conductor': 31.045836305873813, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -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': [3888, 1, [2431, 2917, 1217], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [3, 1]], [7, [2, 1]], [11, [0, 1]], [13, [4, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660928816, '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': '3888.2.a.b', 'level': 3888, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '486.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-3q^{5}-2q^{7}-4q^{13}+6q^{17}+7q^{19}+\\cdots', 'related_objects': ['EllipticCurve/Q/3888/b'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3888.2.a', 'trace_display': [0, 0, -3, -2], 'trace_hash': 1217264381138569720, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.950', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.026', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.771', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.010', 'prec': 17}, 'traces': [1, 0, 0, 0, -3, 0, -2, 0, 0, 0, 0, 0, -4, 0, 0, 0, 6, 0, 7, 0, 0, 0, 9, 0, 4, 0, 0, 0, -9, 0, -2, 0, 0, 0, 6, 0, -4, 0, 0, 0, 6, 0, 4, 0, 0, 0, 3, 0, -3, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, -10, 0, 0, 0, 12, 0, -5, 0, 0, 0, 3, 0, -7, 0, 0, 0, 0, 0, -8, 0, 0, 0, -6, 0, -18, 0, 0, 0, -12, 0, 8, 0, 0, 0, -21, 0, -1, 0, 0, 0, 3, 0, -14, 0, 0, 0, -12, 0, 8, 0, 0, 0, 12, 0, -27, 0, 0, 0, -12, 0, -11, 0, 0, 0, 3, 0, -8, 0, 0, 0, -6, 0, -14, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 27, 0, 0, 0, -18, 0, 10, 0, 0, 0, 6, 0, 20, 0, 0, 0, -18, 0, -5, 0, 0, 0, -3, 0, 3, 0, 0, 0, -3, 0, -8, 0, 0, 0, 6, 0, -4, 0, 0, 0, 12, 0, 0, 0, 0, 0, 15, 0, -22, 0, 0, 0, 6, 0, 16, 0, 0, 0, 18, 0, -18, 0, 0, 0, 0, 0, 4, 0, 0, 0, -12, 0, 4, 0, 0, 0, -24, 0, 4, 0, 0, 0, 30, 0, 2, 0, 0, 0, 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18, 0, 27, 0, 0, 0, -57, 0, -20, 0, 0, 0, 75, 0, 82, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, -16, 0, 0, 0, -96, 0, -36, 0, 0, 0, 81, 0, 18, 0, 0, 0, 0, 0, -46, 0, 0, 0, -72, 0, 32, 0, 0, 0, -39, 0, -27, 0, 0, 0, -12, 0, 90, 0, 0, 0, -30, 0, -18, 0, 0, 0, 42, 0, 32, 0, 0, 0, -120, 0, 26, 0, 0, 0, -18, 0, 0, 0, 0, 0, 36, 0, -18, 0, 0, 0, -72, 0, 25, 0, 0, 0, -48, 0, -8, 0, 0, 0, 0, 0, 140, 0, 0, 0, 126, 0, 30, 0, 0, 0, -42, 0, -27, 0, 0, 0, 51, 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], [0.0, 0.0], [0.0, 0.0], [-1.3416407864998738, 0.0], [0.0, 0.0], [-0.7559289460184545, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.1094003924504583, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.4552137502179978, 0.0], [0.0, 0.0], [1.6059101370939324, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.8766297265136729, 0.0], [0.0, 0.0], [0.8, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.6712580435934667, 0.0], [0.0, 0.0], [-0.3592106040535498, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.01418510567422, 0.0], [0.0, 0.0], [-0.6575959492214292, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.9370425713316364, 0.0], [0.0, 0.0], [0.6099942813304187, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.4375949744936837, 0.0], [0.0, 0.0], [-0.42857142857142855, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.4120816918460671, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.2803687993289596, 0.0], 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4503599660928816, 'label': '3888.2.a.b.1.1', 'level': 3888, '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': [15, 21, 18, 18], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [26, 27, 27, 27], 'ALdims_old': [130, 132, 135, 126], 'Nk2': 15552, 'analytic_conductor': 31.045836305873813, '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': [3888, 1, [2431, 2917, 1217], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 595, 'dim': 72, 'eis_dim': 107, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11, 13], 'hecke_orbit_code': 33558320, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 6, 6], 'label': '3888.2.a', 'level': 3888, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 702, 'mf_new_dim': 72, 'num_forms': 39, 'plus_dim': 33, 'prim_orbit_index': 1, 'relative_dim': 72, 'sturm_bound': 1296, 'trace_bound': 29, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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: 33922437
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660928816, 'source_is_minimal': False, 'source_label': '3888.2.a.b.1.1', 'source_level': 3888, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660928816, 'target_is_minimal': False, 'target_label': '3888.2.a.b.1.1', 'target_level': 3888, 'twist_class_label': '486.2.a.a.1.1', 'twist_class_level': 486, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 33922438
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660928816, 'source_is_minimal': False, 'source_label': '3888.2.a.b.1.1', 'source_level': 3888, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 85568392953597744, 'target_is_minimal': False, 'target_label': '3888.2.a.t.1.1', 'target_level': 3888, 'twist_class_label': '486.2.a.a.1.1', 'twist_class_level': 486, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 33922439
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660928816, 'source_is_minimal': False, 'source_label': '3888.2.a.b.1.1', 'source_level': 3888, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33554918, 'target_is_minimal': True, 'target_label': '486.2.a.a.1.1', 'target_level': 486, 'twist_class_label': '486.2.a.a.1.1', 'twist_class_level': 486, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 33922440
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660928816, 'source_is_minimal': False, 'source_label': '3888.2.a.b.1.1', 'source_level': 3888, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998170407398, 'target_is_minimal': True, 'target_label': '486.2.a.f.1.1', 'target_level': 486, 'twist_class_label': '486.2.a.a.1.1', 'twist_class_level': 486, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 33922441
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660928816, 'source_is_minimal': False, 'source_label': '3888.2.a.b.1.1', 'source_level': 3888, 'target_conrey_index': 325, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518135609360870, 'target_is_minimal': False, 'target_label': '486.2.c.f.325.1', 'target_level': 486, 'twist_class_label': '486.2.a.a.1.1', 'twist_class_level': 486, 'twisting_char_label': '36.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 33922442
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660928816, 'source_is_minimal': False, 'source_label': '3888.2.a.b.1.1', 'source_level': 3888, 'target_conrey_index': 325, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137472508390, 'target_is_minimal': False, 'target_label': '486.2.c.a.325.1', 'target_level': 486, 'twist_class_label': '486.2.a.a.1.1', 'twist_class_level': 486, 'twisting_char_label': '36.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 33922443
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660928816, 'source_is_minimal': False, 'source_label': '3888.2.a.b.1.1', 'source_level': 3888, 'target_conrey_index': 163, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137472508390, 'target_is_minimal': False, 'target_label': '486.2.c.a.163.1', 'target_level': 486, 'twist_class_label': '486.2.a.a.1.1', 'twist_class_level': 486, 'twisting_char_label': '36.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 33922444
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660928816, 'source_is_minimal': False, 'source_label': '3888.2.a.b.1.1', 'source_level': 3888, 'target_conrey_index': 163, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518135609360870, 'target_is_minimal': False, 'target_label': '486.2.c.f.163.1', 'target_level': 486, 'twist_class_label': '486.2.a.a.1.1', 'twist_class_level': 486, 'twisting_char_label': '36.31', 'twisting_conrey_index': 31, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3412625
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 2}
  • id: 3412626
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 3}
  • id: 3412627
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 5}
  • id: 3412628
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 7}
  • id: 3412629
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 11}
  • id: 3412630
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 13}
  • id: 3412631
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 17}
  • id: 3412632
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 19}
  • id: 3412633
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 23}
  • id: 3412634
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 29}
  • id: 3412635
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 31}
  • id: 3412636
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 37}
  • id: 3412637
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 41}
  • id: 3412638
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 43}
  • id: 3412639
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 47}
  • id: 3412640
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 53}
  • id: 3412641
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 59}
  • id: 3412642
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 61}
  • id: 3412643
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 67}
  • id: 3412644
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 71}
  • id: 3412645
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 73}
  • id: 3412646
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 79}
  • id: 3412647
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 83}
  • id: 3412648
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 89}
  • id: 3412649
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660928816, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 2, 'label': '3888.2.a.b', 'level': 3888, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 17021358
    {'hecke_orbit_code': 4503599660928816, 'n': 1, 'trace_an': 1}
  • id: 17021359
    {'hecke_orbit_code': 4503599660928816, 'n': 2, 'trace_an': 0}
  • id: 17021360
    {'hecke_orbit_code': 4503599660928816, 'n': 3, 'trace_an': 0}
  • id: 17021361
    {'hecke_orbit_code': 4503599660928816, 'n': 4, 'trace_an': 0}
  • id: 17021362
    {'hecke_orbit_code': 4503599660928816, 'n': 5, 'trace_an': -3}
  • id: 17021363
    {'hecke_orbit_code': 4503599660928816, 'n': 6, 'trace_an': 0}
  • id: 17021364
    {'hecke_orbit_code': 4503599660928816, 'n': 7, 'trace_an': -2}
  • id: 17021365
    {'hecke_orbit_code': 4503599660928816, 'n': 8, 'trace_an': 0}
  • id: 17021366
    {'hecke_orbit_code': 4503599660928816, 'n': 9, 'trace_an': 0}
  • id: 17021367
    {'hecke_orbit_code': 4503599660928816, 'n': 10, 'trace_an': 0}
  • id: 17021368
    {'hecke_orbit_code': 4503599660928816, 'n': 11, 'trace_an': 0}
  • id: 17021369
    {'hecke_orbit_code': 4503599660928816, 'n': 12, 'trace_an': 0}
  • id: 17021370
    {'hecke_orbit_code': 4503599660928816, 'n': 13, 'trace_an': -4}
  • id: 17021371
    {'hecke_orbit_code': 4503599660928816, 'n': 14, 'trace_an': 0}
  • id: 17021372
    {'hecke_orbit_code': 4503599660928816, 'n': 15, 'trace_an': 0}
  • id: 17021373
    {'hecke_orbit_code': 4503599660928816, 'n': 16, 'trace_an': 0}
  • id: 17021374
    {'hecke_orbit_code': 4503599660928816, 'n': 17, 'trace_an': 6}
  • id: 17021375
    {'hecke_orbit_code': 4503599660928816, 'n': 18, 'trace_an': 0}
  • id: 17021376
    {'hecke_orbit_code': 4503599660928816, 'n': 19, 'trace_an': 7}
  • id: 17021377
    {'hecke_orbit_code': 4503599660928816, 'n': 20, 'trace_an': 0}
  • id: 17021378
    {'hecke_orbit_code': 4503599660928816, 'n': 21, 'trace_an': 0}
  • id: 17021379
    {'hecke_orbit_code': 4503599660928816, 'n': 22, 'trace_an': 0}
  • id: 17021380
    {'hecke_orbit_code': 4503599660928816, 'n': 23, 'trace_an': 9}
  • id: 17021381
    {'hecke_orbit_code': 4503599660928816, 'n': 24, 'trace_an': 0}
  • id: 17021382
    {'hecke_orbit_code': 4503599660928816, 'n': 25, 'trace_an': 4}
  • id: 17021383
    {'hecke_orbit_code': 4503599660928816, 'n': 26, 'trace_an': 0}
  • id: 17021384
    {'hecke_orbit_code': 4503599660928816, 'n': 27, 'trace_an': 0}
  • id: 17021385
    {'hecke_orbit_code': 4503599660928816, 'n': 28, 'trace_an': 0}
  • id: 17021386
    {'hecke_orbit_code': 4503599660928816, 'n': 29, 'trace_an': -9}
  • id: 17021387
    {'hecke_orbit_code': 4503599660928816, 'n': 30, 'trace_an': 0}
  • id: 17021388
    {'hecke_orbit_code': 4503599660928816, 'n': 31, 'trace_an': -2}
  • id: 17021389
    {'hecke_orbit_code': 4503599660928816, 'n': 32, 'trace_an': 0}
  • id: 17021390
    {'hecke_orbit_code': 4503599660928816, 'n': 33, 'trace_an': 0}
  • id: 17021391
    {'hecke_orbit_code': 4503599660928816, 'n': 34, 'trace_an': 0}
  • id: 17021392
    {'hecke_orbit_code': 4503599660928816, 'n': 35, 'trace_an': 6}
  • id: 17021393
    {'hecke_orbit_code': 4503599660928816, 'n': 36, 'trace_an': 0}
  • id: 17021394
    {'hecke_orbit_code': 4503599660928816, 'n': 37, 'trace_an': -4}
  • id: 17021395
    {'hecke_orbit_code': 4503599660928816, 'n': 38, 'trace_an': 0}
  • id: 17021396
    {'hecke_orbit_code': 4503599660928816, 'n': 39, 'trace_an': 0}
  • id: 17021397
    {'hecke_orbit_code': 4503599660928816, 'n': 40, 'trace_an': 0}
  • id: 17021398
    {'hecke_orbit_code': 4503599660928816, 'n': 41, 'trace_an': 6}
  • id: 17021399
    {'hecke_orbit_code': 4503599660928816, 'n': 42, 'trace_an': 0}
  • id: 17021400
    {'hecke_orbit_code': 4503599660928816, 'n': 43, 'trace_an': 4}
  • id: 17021401
    {'hecke_orbit_code': 4503599660928816, 'n': 44, 'trace_an': 0}
  • id: 17021402
    {'hecke_orbit_code': 4503599660928816, 'n': 45, 'trace_an': 0}
  • id: 17021403
    {'hecke_orbit_code': 4503599660928816, 'n': 46, 'trace_an': 0}
  • id: 17021404
    {'hecke_orbit_code': 4503599660928816, 'n': 47, 'trace_an': 3}
  • id: 17021405
    {'hecke_orbit_code': 4503599660928816, 'n': 48, 'trace_an': 0}
  • id: 17021406
    {'hecke_orbit_code': 4503599660928816, 'n': 49, 'trace_an': -3}
  • id: 17021407
    {'hecke_orbit_code': 4503599660928816, 'n': 50, 'trace_an': 0}
  • id: 17021408
    {'hecke_orbit_code': 4503599660928816, 'n': 51, 'trace_an': 0}
  • id: 17021409
    {'hecke_orbit_code': 4503599660928816, 'n': 52, 'trace_an': 0}
  • id: 17021410
    {'hecke_orbit_code': 4503599660928816, 'n': 53, 'trace_an': 3}
  • id: 17021411
    {'hecke_orbit_code': 4503599660928816, 'n': 54, 'trace_an': 0}
  • id: 17021412
    {'hecke_orbit_code': 4503599660928816, 'n': 55, 'trace_an': 0}
  • id: 17021413
    {'hecke_orbit_code': 4503599660928816, 'n': 56, 'trace_an': 0}
  • id: 17021414
    {'hecke_orbit_code': 4503599660928816, 'n': 57, 'trace_an': 0}
  • id: 17021415
    {'hecke_orbit_code': 4503599660928816, 'n': 58, 'trace_an': 0}
  • id: 17021416
    {'hecke_orbit_code': 4503599660928816, 'n': 59, 'trace_an': 0}
  • id: 17021417
    {'hecke_orbit_code': 4503599660928816, 'n': 60, 'trace_an': 0}
  • id: 17021418
    {'hecke_orbit_code': 4503599660928816, 'n': 61, 'trace_an': -10}
  • id: 17021419
    {'hecke_orbit_code': 4503599660928816, 'n': 62, 'trace_an': 0}
  • id: 17021420
    {'hecke_orbit_code': 4503599660928816, 'n': 63, 'trace_an': 0}
  • id: 17021421
    {'hecke_orbit_code': 4503599660928816, 'n': 64, 'trace_an': 0}
  • id: 17021422
    {'hecke_orbit_code': 4503599660928816, 'n': 65, 'trace_an': 12}
  • id: 17021423
    {'hecke_orbit_code': 4503599660928816, 'n': 66, 'trace_an': 0}
  • id: 17021424
    {'hecke_orbit_code': 4503599660928816, 'n': 67, 'trace_an': -5}
  • id: 17021425
    {'hecke_orbit_code': 4503599660928816, 'n': 68, 'trace_an': 0}
  • id: 17021426
    {'hecke_orbit_code': 4503599660928816, 'n': 69, 'trace_an': 0}
  • id: 17021427
    {'hecke_orbit_code': 4503599660928816, 'n': 70, 'trace_an': 0}
  • id: 17021428
    {'hecke_orbit_code': 4503599660928816, 'n': 71, 'trace_an': 3}
  • id: 17021429
    {'hecke_orbit_code': 4503599660928816, 'n': 72, 'trace_an': 0}
  • id: 17021430
    {'hecke_orbit_code': 4503599660928816, 'n': 73, 'trace_an': -7}
  • id: 17021431
    {'hecke_orbit_code': 4503599660928816, 'n': 74, 'trace_an': 0}
  • id: 17021432
    {'hecke_orbit_code': 4503599660928816, 'n': 75, 'trace_an': 0}
  • id: 17021433
    {'hecke_orbit_code': 4503599660928816, 'n': 76, 'trace_an': 0}
  • id: 17021434
    {'hecke_orbit_code': 4503599660928816, 'n': 77, 'trace_an': 0}
  • id: 17021435
    {'hecke_orbit_code': 4503599660928816, 'n': 78, 'trace_an': 0}
  • id: 17021436
    {'hecke_orbit_code': 4503599660928816, 'n': 79, 'trace_an': -8}
  • id: 17021437
    {'hecke_orbit_code': 4503599660928816, 'n': 80, 'trace_an': 0}
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