Embedded newform data - 13.9.f.a.2.6

Formats: - HTML - YAML - JSON - 2025-09-08T05:13:35.917223

• 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': 1053, 'analytic_conductor': 5.295921930794654, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 13, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 12, 'char_parity': -1, 'char_values': [13, 12, [2], [1]], 'cm_discs': [], 'conrey_index': 2, 'dim': 32, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 343748378637, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 13, 6, -1, 12, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '13.9.f.a', 'level': 13, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [13], 'level_radical': 13, 'minimal_twist': '13.9.f.a', 'prim_orbit_index': 6, 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '8.2.3.c12', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '13.9.f', 'trace_display': [-4, -2, -172, -2784], 'traces': [32, -4, -2, -6, -172, -2726, -2784, -10470, -21872, -26886, 6476, 0, 14794, 216232, -127934, 195174, 97644, -475646, 373314, 685798, -213824, 167756, -711654, -1396830, 0, -1041274, 3386272, -491836, -178394, -6200118, 1793468, 955004, -369536, 4592250, 1520488, -11372454, 247730, 0, 14761942, 15044736, -2285272, -1024084, 18199452, 5629904, -10428746, -25708302, -8054836, -19983002, -18234288, -7208294, 0, -26124488, -26091116, 85261048, -2240524, 84926940, 57257116, -68659210, -58197100, -64428232, -38537926, 2935614, -43972436, 0, 44466032, 209850752, 30462126, 68365716, 163279656, 256782116, -113836054, -445647780, -30722748, -156843362, -364524840, -180633890, 0, 252047848, 364818200, 372146084, -17174000, 272314014, 389373188, -464450276, -331999758, -32039076, 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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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'embedding_index': 6, 'embedding_m': 6, 'hecke_orbit': 1, 'hecke_orbit_code': 343748378637, 'label': '13.9.f.a.2.6', 'level': 13, 'weight': 9}
• 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

  
  {'Nk2': 1053, 'analytic_conductor': 5.295921930794654, 'char_conductor': 13, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 12, 'char_parity': -1, 'char_values': [13, 12, [2], [1]], 'conrey_index': 2, 'cusp_dim': 32, 'dim': 32, 'eis_dim': 8, 'eis_new_dim': 8, 'hecke_cutter_primes': [], 'hecke_orbit_code': 343748378637, 'hecke_orbit_dims': [32], 'label': '13.9.f', 'level': 13, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [13], 'level_radical': 13, 'mf_dim': 40, 'mf_new_dim': 40, 'num_forms': 1, 'prim_orbit_index': 6, 'relative_dim': 8, 'sturm_bound': 10, 'trace_bound': 0, 'trace_display': [-4, -2, -172, -2784], 'traces': [32, -4, -2, -6, -172, -2726, -2784, -10470, -21872, -26886, 6476, 0, 14794, 216232, -127934, 195174, 97644, -475646, 373314, 685798, -213824, 167756, -711654, -1396830, 0, 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• 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: 3726711
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 2, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 343748378637, 'source_is_minimal': True, 'source_label': '13.9.f.a.2.6', 'source_level': 13, 'target_conrey_index': 2, 'target_dim': 32, 'target_embedding_index': 6, 'target_hecke_orbit_code': 343748378637, 'target_is_minimal': True, 'target_label': '13.9.f.a.2.6', 'target_level': 13, 'twist_class_label': '13.9.f.a.2.6', 'twist_class_level': 13, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 9}
  • id: 3726712
    {'conductor': 13, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 2, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 343748378637, 'source_is_minimal': True, 'source_label': '13.9.f.a.2.6', 'source_level': 13, 'target_conrey_index': 7, 'target_dim': 32, 'target_embedding_index': 6, 'target_hecke_orbit_code': 343748378637, 'target_is_minimal': True, 'target_label': '13.9.f.a.7.6', 'target_level': 13, 'twist_class_label': '13.9.f.a.2.6', 'twist_class_level': 13, 'twisting_char_label': '13.7', 'twisting_conrey_index': 7, 'weight': 9}
• hecke_orbit_code 343748378637 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 6, 'hecke_orbit': 1, 'label': '13.9.f.a', 'level': 13, 'portrait': 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', 'weight': 9}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 8549154
    {'hecke_orbit_code': 343748378637, 'n': 1, 'trace_an': 32}
  • id: 8549155
    {'hecke_orbit_code': 343748378637, 'n': 2, 'trace_an': -4}
  • id: 8549156
    {'hecke_orbit_code': 343748378637, 'n': 3, 'trace_an': -2}
  • id: 8549157
    {'hecke_orbit_code': 343748378637, 'n': 4, 'trace_an': -6}
  • id: 8549158
    {'hecke_orbit_code': 343748378637, 'n': 5, 'trace_an': -172}
  • id: 8549159
    {'hecke_orbit_code': 343748378637, 'n': 6, 'trace_an': -2726}
  • id: 8549160
    {'hecke_orbit_code': 343748378637, 'n': 7, 'trace_an': -2784}
  • id: 8549161
    {'hecke_orbit_code': 343748378637, 'n': 8, 'trace_an': -10470}
  • id: 8549162
    {'hecke_orbit_code': 343748378637, 'n': 9, 'trace_an': -21872}
  • id: 8549163
    {'hecke_orbit_code': 343748378637, 'n': 10, 'trace_an': -26886}
  • id: 8549164
    {'hecke_orbit_code': 343748378637, 'n': 11, 'trace_an': 6476}
  • id: 8549165
    {'hecke_orbit_code': 343748378637, 'n': 12, 'trace_an': 0}
  • id: 8549166
    {'hecke_orbit_code': 343748378637, 'n': 13, 'trace_an': 14794}
  • id: 8549167
    {'hecke_orbit_code': 343748378637, 'n': 14, 'trace_an': 216232}
  • id: 8549168
    {'hecke_orbit_code': 343748378637, 'n': 15, 'trace_an': -127934}
  • id: 8549169
    {'hecke_orbit_code': 343748378637, 'n': 16, 'trace_an': 195174}
  • id: 8549170
    {'hecke_orbit_code': 343748378637, 'n': 17, 'trace_an': 97644}
  • id: 8549171
    {'hecke_orbit_code': 343748378637, 'n': 18, 'trace_an': -475646}
  • id: 8549172
    {'hecke_orbit_code': 343748378637, 'n': 19, 'trace_an': 373314}
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