Embedded newform data - 64.22.e.a.17.6

Formats: - HTML - YAML - JSON - 2026-05-12T09:02:17.827162

• 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': 30976, 'analytic_conductor': 178.86550034371973, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 16, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 4, 'char_parity': 1, 'char_values': [64, 4, [63, 5], [4, 3]], 'cm_discs': [], 'conrey_index': 17, 'dim': 82, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 275247005760, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 16, 5, 1, 4, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '64.22.e.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': '16.22.e.a', 'prim_orbit_index': 5, 'related_objects': [], 'relative_dim': 41, 'rm_discs': [], 'sato_tate_group': '21.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '64.22.e', 'trace_display': [0, 2, -2, 0], 'traces': [82, 0, 2, 0, -2, 0, 0, 0, 0, 0, -67333320738, 0, -2, 0, -4613203124996, 0, -4, 0, 46007763621434, 0, 20920706404, 0, 0, 0, 0, 0, -1147760716556920, 0, -2433173450216602, 0, 9835539443769616, 0, -4, 0, 19253478556034884, 0, -7245708527119386, 0, 0, 0, 0, 0, -215332019803969386, 0, 953653395699842, 0, -1051982644716600976, 0, -5585458640832840074, 0, -3238772068175213124, 0, 1889987679210147606, 0, 0, 0, 0, 0, -3631979197965016922, 0, 10385362452353654062, 0, 17464422381302680956, 0, -9364161130572538716, 0, 17102217044572669130, 0, -3951842785111207532, 0, 0, 0, 0, 0, -145960939174166395366, 0, -82041801652678580764, 0, -204448210818924484480, 0, -802405920297757300870, 0, -317463236552669319678, 0, 323656241286464843748, 0, 0, 0, 0, 0, -144326756239046079748, 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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [-1.0727292925552432, -1.0727292925552432], [0.0, 0.0], [-0.9035457349535249, 0.9035457349535249], [0.0, 0.0], [0.0, -1.3693043096167201], [0.0, 0.0], [0.0, 1.3014962702121449], [0.0, 0.0], [0.8511164212079273, -0.8511164212079273], [0.0, 0.0], [-0.861489203660633, -0.861489203660633], [0.0, 0.0], [1.9385199540960039, 0.0], [0.0, 0.0], [0.7964836876086008, 0.0], [0.0, 0.0], [0.5574876600575319, 0.5574876600575319], [0.0, 0.0], [-1.4688928433479898, 1.4688928433479898], [0.0, 0.0], [0.0, -1.3780537659264644], [0.0, 0.0], [0.0, -0.6327897903054106], [0.0, 0.0], [0.3234238806527187, -0.3234238806527187], [0.0, 0.0], [0.7540131401190083, 0.7540131401190083], [0.0, 0.0], [-0.31116626620990706, 0.0], [0.0, 0.0], [-1.8260350328090604, 0.0], [0.0, 0.0], [1.2372290688076681, 1.2372290688076681], [0.0, 0.0], [-0.3096500365088378, 0.3096500365088378], [0.0, 0.0], [0.0, 1.8482894079737011], [0.0, 0.0], [0.0, -0.6439466533006952], [0.0, 0.0], [0.5984216652623853, -0.5984216652623853], [0.0, 0.0], [-1.175961404008104, -1.175961404008104], [0.0, 0.0], [-1.4922038356419212, 0.0], [0.0, 0.0], [-0.8749942923349223, 0.0], [0.0, 0.0], [-0.8544113827401656, -0.8544113827401656], [0.0, 0.0], [-0.48054842919365653, 0.48054842919365653], [0.0, 0.0], [0.0, 1.5380452246626608], [0.0, 0.0], [0.0, -1.1960666863635883], [0.0, 0.0], [-1.2764612196922203, 1.2764612196922203], [0.0, 0.0], [1.3604893654716435, 1.3604893654716435], [0.0, 0.0], [1.7821444517515772, 0.0], [0.0, 0.0], [1.556789791352147, 0.0], [0.0, 0.0], [0.9783065044373531, 0.9783065044373531], [0.0, 0.0], [-1.4782786414253848, 1.4782786414253848], [0.0, 0.0], [0.0, 1.3186305698696668], [0.0, 0.0], [0.0, 0.47594962684798137], [0.0, 0.0], [-0.6788121440905038, 0.6788121440905038], [0.0, 0.0], [-1.1654373835455742, -1.1654373835455742], [0.0, 0.0], [-0.11190417628207257, 0.0], [0.0, 0.0], [0.6076037288360203, 0.0], [0.0, 0.0], [0.8671783506108082, 0.8671783506108082], [0.0, 0.0], [-0.7196594388988069, 0.7196594388988069], [0.0, 0.0], [0.0, -1.6177039647544427], [0.0, 0.0], [0.0, 1.4760036142831425], [0.0, 0.0], [-1.1796408792607809, 1.1796408792607809], [0.0, 0.0], [0.33379716861841, 0.33379716861841], [0.0, 0.0], [-1.007431195068407, 0.0], [0.0, 0.0], [-0.5908821263803903, 0.0], [0.0, 0.0], [1.1077248477184263, 1.1077248477184263], [0.0, 0.0]], 'angles': [None, -0.48795793811078847, -0.4853058085684072, -0.37997706323798014, -0.2722191990959278, -0.2292476144887961, -0.18481024010318922, -0.06051029031238621, -0.37901909026733954, -0.03550071793135515, -0.2748628267141769, -0.41013250043677363, -0.4478269295191043, -0.3054625134898294, -0.384038424513317, -0.4301795326895309, 0.3041700309113008, 0.08099042931962072, -0.003416226501442622, 0.11457687059998534, 0.038241786052041475, -0.25890970437465194, -0.019943465308882004, 0.13211521453842065, -0.2977332981351826, -0.2862357745735875, 0.011762708459940367, -0.31074680465140153, -0.49186594130664635, -0.2851372002835196, -0.14008271322960958, -0.2151022279500892, 0.0025004335036072694, -0.41492901412045946, -0.37052686527534906, -0.3941194500811451, -0.0011830933223500545, -0.015524677211961279, -0.3853415973094324, -0.1391443652319604, -0.056211313558886596, -0.36836440252793984, -0.19890324842957233, -0.25836148201570036, -0.4605831913635815, 0.028474507350268224, -0.0760114354566247, -0.2493784000567495, -0.03244311440511109, -0.40409928510866866, 0.029928711239553863, -0.2589490780913662, -0.15069807729208384, 0.26243006861710805, -0.29322331402459956, -0.3575969006476485, -0.025717959510843817, -0.25268418631622874, -0.30142112959137035, 0.1254356391991566, -0.34000859791682975, -0.38678478705150154, 0.0019378542504311406, 0.023589864381609284, 0.012373871492709826, 0.006662179930903438, -0.2962034317299297, -0.19685036408369025, -0.32372059437430745, -0.10637800218465958, -0.238926234830001, -0.4524586128357576, -0.28576481208671484, 0.33873697123387864, -0.3971134827314709, -0.2189306617524975, -0.45893726360756526, -0.14643717136427203, -0.2640423625172503, -0.4528588802681139, -0.13202548934263694, -0.38160023622541706, -0.16729880930134886, -0.272660931983504, 0.07933702660694517, -0.49088802942695414, -0.18689709767808707, -0.33767887384611633, -0.1048764585751612, -0.1926883825586363, 0.01496904432260117, -0.3335066552644016, -0.4800297583603897, -0.4602326819754481, -0.0088336546319773, 0.013342547657021586, -0.16033227123362198, 0.12246513546566912, -0.28577965293820373, -0.2178252394505415], 'char_orbit_index': 5, 'conrey_index': 17, 'dual_conrey_index': 49, 'dual_embedding_index': 6, 'dual_embedding_m': 47, 'embedding_index': 6, 'embedding_m': 6, 'hecke_orbit': 1, 'hecke_orbit_code': 275247005760, 'label': '64.22.e.a.17.6', 'level': 64, 'weight': 22}
• 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': 30976, 'analytic_conductor': 178.86550034371973, 'char_conductor': 16, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 4, 'char_parity': 1, 'char_values': [64, 4, [63, 5], [4, 3]], 'conrey_index': 17, 'cusp_dim': 328, 'dim': 82, 'eis_dim': 16, 'eis_new_dim': 4, 'hecke_orbit_code': 275247005760, 'hecke_orbit_dims': [82], 'label': '64.22.e', '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': 344, 'mf_new_dim': 86, 'num_forms': 1, 'prim_orbit_index': 5, 'relative_dim': 41, 'sturm_bound': 176, 'trace_bound': 0, 'trace_display': [0, 2, -2, 0], 'traces': [82, 0, 2, 0, -2, 0, 0, 0, 0, 0, -67333320738, 0, -2, 0, -4613203124996, 0, -4, 0, 46007763621434, 0, 20920706404, 0, 0, 0, 0, 0, -1147760716556920, 0, -2433173450216602, 0, 9835539443769616, 0, -4, 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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: 3127765
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 82, 'source_embedding_index': 6, 'source_hecke_orbit_code': 275247005760, 'source_is_minimal': False, 'source_label': '64.22.e.a.17.6', 'source_level': 64, 'target_conrey_index': 17, 'target_dim': 82, 'target_embedding_index': 6, 'target_hecke_orbit_code': 275247005760, 'target_is_minimal': False, 'target_label': '64.22.e.a.17.6', 'target_level': 64, 'twist_class_label': '16.22.e.a.5.3', 'twist_class_level': 16, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 22}
  • id: 3127766
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 82, 'source_embedding_index': 6, 'source_hecke_orbit_code': 275247005760, 'source_is_minimal': False, 'source_label': '64.22.e.a.17.6', 'source_level': 64, 'target_conrey_index': 13, 'target_dim': 82, 'target_embedding_index': 3, 'target_hecke_orbit_code': 275247005712, 'target_is_minimal': True, 'target_label': '16.22.e.a.13.3', 'target_level': 16, 'twist_class_label': '16.22.e.a.5.3', 'twist_class_level': 16, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 22}
  • id: 3127767
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 82, 'source_embedding_index': 6, 'source_hecke_orbit_code': 275247005760, 'source_is_minimal': False, 'source_label': '64.22.e.a.17.6', 'source_level': 64, 'target_conrey_index': 49, 'target_dim': 82, 'target_embedding_index': 6, 'target_hecke_orbit_code': 275247005760, 'target_is_minimal': False, 'target_label': '64.22.e.a.49.6', 'target_level': 64, 'twist_class_label': '16.22.e.a.5.3', 'twist_class_level': 16, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 22}
  • id: 3127768
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 82, 'source_embedding_index': 6, 'source_hecke_orbit_code': 275247005760, 'source_is_minimal': False, 'source_label': '64.22.e.a.17.6', 'source_level': 64, 'target_conrey_index': 5, 'target_dim': 82, 'target_embedding_index': 3, 'target_hecke_orbit_code': 275247005712, 'target_is_minimal': True, 'target_label': '16.22.e.a.5.3', 'target_level': 16, 'twist_class_label': '16.22.e.a.5.3', 'twist_class_level': 16, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 22}
• hecke_orbit_code 275247005760 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': 5, 'hecke_orbit': 1, 'label': '64.22.e.a', 'level': 64, 'portrait': 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', 'weight': 22}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 8029026
    {'hecke_orbit_code': 275247005760, 'n': 1, 'trace_an': 82}
  • id: 8029027
    {'hecke_orbit_code': 275247005760, 'n': 2, 'trace_an': 0}
  • id: 8029028
    {'hecke_orbit_code': 275247005760, 'n': 3, 'trace_an': 2}
  • id: 8029029
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