Embedded newform data - 64.10.i.a.5.4

Formats: - HTML - YAML - JSON - 2026-01-23T17:05:48.069001

• 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': 6400, 'analytic_conductor': 32.96229351448788, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 64, 'char_degree': 8, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 16, 'char_parity': 1, 'char_values': [64, 16, [63, 5], [16, 1]], 'cm_discs': [], 'conrey_index': 5, 'dim': 568, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 549923586112, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 64, 9, 1, 16, 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': '64.10.i.a', 'level': 64, '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': '64.10.i.a', 'prim_orbit_index': 9, 'related_objects': [], 'relative_dim': 71, 'rm_discs': [], 'sato_tate_group': '9.2.3.c16', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '64.10.i', 'trace_display': [-8, -8, -8, -8], 'traces': [568, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, 3576336, -8, 12096992, -8, -2105968, -8, -21791488, -8, 44263272, 0, 29441312, 0, -38537008, -8, -110500728, -8, 66947312, -8, 97089632, -8, -224559088, -8, 146176992, -8, -8, -8, -8, -8, 182758288, -360057320, -25227512, -8, -646232264, 280217656, 203163008, -8, 855153280, -576150472, 230939416, -8, -597609496, 1260236864, -1364809832, -16, 186013784, -1007094968, 1004327944, -8, 1869092056, -476202952, -714729104, -8, -2182183312, 2309166136, -888710984, -8, 5243787376, -2269128680, -5193915232, -8, 3136405672, -8, 6148771880, -8, -988828368, -8, -4940685368, -8, -7222410008, -8, 1729489584, 157456, 6710490136, 0, 10366581632, 0, 2543861360, 157456, -6412500008, -8, -17523354816, -8, 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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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-0.449337586301889, -0.07289663783026158, -0.2184856061176056, -0.05686974952473979, 0.2726273691009197, -0.3554729407970698, -0.4364269655479771, -0.11583560496759644, 0.022759623703426712, -0.35186661475455394, -0.21922764473893336, -0.4028639687661012, -0.2504653677443918, -0.09702665796383, 0.06499235945493363, 0.012816334489221431, 0.0940662951813563, -0.19528234543497536, -0.42169666934921296, -0.10064840260910685, -0.057459631362235794, -0.21047994166509645, -0.3078108339060703, -0.4255458701923874, -0.3510726707717082, -0.49969456029847287, -0.38123552611541095, -0.4366528989830844, -0.398267830546928, -0.029738607716757105, -0.43238037432111665, -0.44053624455920143, 0.09360638574797658, -0.49999710479886655], 'char_orbit_index': 9, 'conrey_index': 5, 'dual_conrey_index': 13, 'dual_embedding_index': 4, 'dual_embedding_m': 75, 'embedding_index': 4, 'embedding_m': 4, 'hecke_orbit': 1, 'hecke_orbit_code': 549923586112, 'label': '64.10.i.a.5.4', 'level': 64, 'weight': 10}
• 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': 6400, 'analytic_conductor': 32.96229351448788, 'char_conductor': 64, 'char_degree': 8, 'char_is_real': False, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 16, 'char_parity': 1, 'char_values': [64, 16, [63, 5], [16, 1]], 'conrey_index': 5, 'cusp_dim': 568, 'dim': 568, 'eis_dim': 16, 'eis_new_dim': 16, 'hecke_orbit_code': 549923586112, 'hecke_orbit_dims': [568], 'label': '64.10.i', 'level': 64, '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': 584, 'mf_new_dim': 584, 'num_forms': 1, 'prim_orbit_index': 9, 'relative_dim': 71, 'sturm_bound': 80, 'trace_bound': 0, 'trace_display': [-8, -8, -8, -8], 'traces': [568, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, 3576336, -8, 12096992, -8, -2105968, -8, -21791488, -8, 44263272, 0, 29441312, 0, -38537008, -8, 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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: 6931133
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 5, 'source_dim': 568, 'source_embedding_index': 4, 'source_hecke_orbit_code': 549923586112, 'source_is_minimal': True, 'source_label': '64.10.i.a.5.4', 'source_level': 64, 'target_conrey_index': 5, 'target_dim': 568, 'target_embedding_index': 4, 'target_hecke_orbit_code': 549923586112, 'target_is_minimal': True, 'target_label': '64.10.i.a.5.4', 'target_level': 64, 'twist_class_label': '64.10.i.a.5.4', 'twist_class_level': 64, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 6931134
    {'conductor': 64, 'degree': 8, 'order': 16, 'parity': 1, 'source_conrey_index': 5, 'source_dim': 568, 'source_embedding_index': 4, 'source_hecke_orbit_code': 549923586112, 'source_is_minimal': True, 'source_label': '64.10.i.a.5.4', 'source_level': 64, 'target_conrey_index': 13, 'target_dim': 568, 'target_embedding_index': 4, 'target_hecke_orbit_code': 549923586112, 'target_is_minimal': True, 'target_label': '64.10.i.a.13.4', 'target_level': 64, 'twist_class_label': '64.10.i.a.5.4', 'twist_class_level': 64, 'twisting_char_label': '64.13', 'twisting_conrey_index': 13, 'weight': 10}
• hecke_orbit_code 549923586112 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': 9, 'hecke_orbit': 1, 'label': '64.10.i.a', 'level': 64, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 10086060
    {'hecke_orbit_code': 549923586112, 'n': 1, 'trace_an': 568}
  • id: 10086061
    {'hecke_orbit_code': 549923586112, 'n': 2, 'trace_an': -8}
  • id: 10086062
    {'hecke_orbit_code': 549923586112, 'n': 3, 'trace_an': -8}
  • id: 10086063
    {'hecke_orbit_code': 549923586112, 'n': 4, 'trace_an': -8}
  • id: 10086064
    {'hecke_orbit_code': 549923586112, 'n': 5, 'trace_an': -8}
  • id: 10086065
    {'hecke_orbit_code': 549923586112, 'n': 6, 'trace_an': -8}
  • id: 10086066
    {'hecke_orbit_code': 549923586112, 'n': 7, 'trace_an': -8}
  • id: 10086067
    {'hecke_orbit_code': 549923586112, 'n': 8, 'trace_an': -8}
  • id: 10086068
    {'hecke_orbit_code': 549923586112, 'n': 9, 'trace_an': -8}
  • id: 10086069
    {'hecke_orbit_code': 549923586112, 'n': 10, 'trace_an': -8}
  • id: 10086070
    {'hecke_orbit_code': 549923586112, 'n': 11, 'trace_an': -8}
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