Embedded newform data - 289.10.a.f.1.16

Formats: - HTML - YAML - JSON - 2025-11-08T19:11:51.414833

• 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': 28900, 'analytic_conductor': 148.84535665135934, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[17, 1]], 'atkin_lehner_string': '+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [289, 1, [3], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 24, 'fricke_eigenval': 1, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [7801864302886912, -163370561667072, -199999161683968, 1073492625408, 1574980020224, -553645824, -4976376048, -201024, 6952624, 0, -4353, 0, 1]], [3, [107402923277166167536257955901629545204783513600, 0, -7793746970318963446774488950724872735933595648, 0, 14830316701491162945730762881388669093908480, 0, -9798637454514002132231233746227677327872, 0, 3041656055772959106121939762448512512, 0, -501451815139148401964262458702208, 0, 48056305266631153020871785024, 0, -2832961878053209915300512, 0, 105600489865287015376, 0, -2491134059265736, 0, 35998259964, 0, -290380, 0, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22517998304624929, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 17, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '289.10.a.f', 'level': 289, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [17], 'level_radical': 17, 'minimal_twist': '17.10.c.a', 'prim_orbit_index': 1, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '289.10.a', 'trace_display': [0, 0, 0, 0], 'traces': [24, 0, 0, 5124, 0, 0, 0, 0, 108368, 0, 0, 0, -244832, 0, -127332, -279932, 0, 888764, -2280212, 0, 775748, 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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[1.669526959944694, 0.0], [-0.30145954548738546, 0.0]], 'angles': [-0.20394049366597308, -0.19113945322427758, -0.11654455981142356, -0.2227890103590258, -0.2716115400035151, -0.26381264646444574, None, -0.25433637914319024, -0.26149316730336114, -0.21134293952523545, -0.25813987597331217, -0.392795765469285, -0.319826238308665, -0.4462984711920387, -0.0772542800546133, -0.3790663997428403, -0.1673291240672849, -0.3281046647304933, -0.18795934396272984, -0.1663866248280971, -0.2840285431571248, -0.25220444034188433, -0.37558454440605077, -0.1671117126178958, -0.16679625147520863, -0.4102804704998436, -0.19065848519564663, -0.343066486244957, -0.1802251138764343, -0.3865142887396374, -0.3396228693723196, -0.2187570660363, -0.24006585552187482, -0.42401832247031457, -0.12568157156879387, -0.26421178081968266, -0.28445069859181005, -0.2685411502594755, -0.1264688889334055, -0.2770573094934237, -0.13405191733888847, -0.313483884491345, -0.27886880471262726, -0.1959354852029046, 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-0.21903311224170047, -0.23324369286576507, -0.09452879772011034, -0.24765132841401163, -0.1055133269030336, -0.1733727429493992, -0.3700764890624701, -0.1533827752968611, -0.1856829848632234, -0.1785934488647069, -0.15578934875519077, -0.2213206984965235, -0.28229125199866495, -0.32721064965067426, -0.17659262001111822, -0.22075120565495476, -0.21521754770905538, -0.1737483762834359, -0.36524922206912713, -0.4772072956765801, -0.2611153805727591, -0.14164024857239846, -0.3979579816765801, -0.3245055626594674, -0.2920249605966276, -0.1621897966419335, -0.1732855379850517, -0.34928814309350054, -0.3389042135291633, -0.36984635817705047, -0.20287353573290423, -0.28916503667409826], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 16, 'dual_embedding_m': 16, 'embedding_index': 16, 'embedding_m': 16, 'hecke_orbit': 6, 'hecke_orbit_code': 22517998304624929, 'label': '289.10.a.f.1.16', 'level': 289, '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

  
  {'ALdims': [96, 100], 'ALdims_eis_new': [7, 8], 'ALdims_eis_old': [2, 1], 'ALdims_old': [12, 12], 'Nk2': 28900, 'analytic_conductor': 148.84535665135934, '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': [289, 1, [3], [1]], 'conrey_index': 1, 'cusp_dim': 220, 'dim': 196, 'eis_dim': 18, 'eis_new_dim': 15, 'hecke_cutter_primes': [2, 3], 'hecke_orbit_code': 167772449, 'hecke_orbit_dims': [5, 7, 12, 12, 12, 24, 36, 36, 52], 'label': '289.10.a', 'level': 289, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [17], 'level_radical': 17, 'mf_dim': 238, 'mf_new_dim': 211, 'num_forms': 9, 'plus_dim': 96, 'prim_orbit_index': 1, 'relative_dim': 196, 'sturm_bound': 255, 'trace_bound': 3, 'trace_display': [34, 148, -2842, 3814], 'traces': [196, 34, 148, 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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: 45085849
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 16, 'source_hecke_orbit_code': 22517998304624929, 'source_is_minimal': False, 'source_label': '289.10.a.f.1.16', 'source_level': 289, 'target_conrey_index': 1, 'target_dim': 24, 'target_embedding_index': 16, 'target_hecke_orbit_code': 22517998304624929, 'target_is_minimal': False, 'target_label': '289.10.a.f.1.16', 'target_level': 289, 'twist_class_label': '17.10.c.a.4.8', 'twist_class_level': 17, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 45085850
    {'conductor': 17, 'degree': 4, 'order': 8, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 16, 'source_hecke_orbit_code': 22517998304624929, 'source_is_minimal': False, 'source_label': '289.10.a.f.1.16', 'source_level': 289, 'target_conrey_index': 13, 'target_dim': 24, 'target_embedding_index': 5, 'target_hecke_orbit_code': 137606725649, 'target_is_minimal': True, 'target_label': '17.10.c.a.13.5', 'target_level': 17, 'twist_class_label': '17.10.c.a.4.8', 'twist_class_level': 17, 'twisting_char_label': '17.8', 'twisting_conrey_index': 8, 'weight': 10}
  • id: 45085851
    {'conductor': 17, 'degree': 4, 'order': 8, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 16, 'source_hecke_orbit_code': 22517998304624929, 'source_is_minimal': False, 'source_label': '289.10.a.f.1.16', 'source_level': 289, 'target_conrey_index': 4, 'target_dim': 24, 'target_embedding_index': 8, 'target_hecke_orbit_code': 137606725649, 'target_is_minimal': True, 'target_label': '17.10.c.a.4.8', 'target_level': 17, 'twist_class_label': '17.10.c.a.4.8', 'twist_class_level': 17, 'twisting_char_label': '17.15', 'twisting_conrey_index': 15, 'weight': 10}
  • id: 45085852
    {'conductor': 17, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 16, 'source_hecke_orbit_code': 22517998304624929, 'source_is_minimal': False, 'source_label': '289.10.a.f.1.16', 'source_level': 289, 'target_conrey_index': 1, 'target_dim': 24, 'target_embedding_index': 15, 'target_hecke_orbit_code': 22517998304624929, 'target_is_minimal': False, 'target_label': '289.10.a.f.1.15', 'target_level': 289, 'twist_class_label': '17.10.c.a.4.8', 'twist_class_level': 17, 'twisting_char_label': '17.16', 'twisting_conrey_index': 16, 'weight': 10}
• hecke_orbit_code 22517998304624929 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': 1, 'hecke_orbit': 6, 'label': '289.10.a.f', 'level': 289, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 43907449
    {'hecke_orbit_code': 22517998304624929, 'n': 1, 'trace_an': 24}
  • id: 43907450
    {'hecke_orbit_code': 22517998304624929, 'n': 2, 'trace_an': 0}
  • id: 43907451
    {'hecke_orbit_code': 22517998304624929, 'n': 3, 'trace_an': 0}
  • id: 43907452
    {'hecke_orbit_code': 22517998304624929, 'n': 4, 'trace_an': 5124}
  • id: 43907453
    {'hecke_orbit_code': 22517998304624929, 'n': 5, 'trace_an': 0}
  • id: 43907454
    {'hecke_orbit_code': 22517998304624929, 'n': 6, 'trace_an': 0}
  • id: 43907455
    {'hecke_orbit_code': 22517998304624929, 'n': 7, 'trace_an': 0}
  • id: 43907456
    {'hecke_orbit_code': 22517998304624929, 'n': 8, 'trace_an': 0}
  • id: 43907457
    {'hecke_orbit_code': 22517998304624929, 'n': 9, 'trace_an': 108368}
  • id: 43907458
    {'hecke_orbit_code': 22517998304624929, 'n': 10, 'trace_an': 0}
  • id: 43907459
    {'hecke_orbit_code': 22517998304624929, 'n': 11, 'trace_an': 0}
  • id: 43907460
    {'hecke_orbit_code': 22517998304624929, 'n': 12, 'trace_an': 0}
  • id: 43907461
    {'hecke_orbit_code': 22517998304624929, 'n': 13, 'trace_an': -244832}
  • id: 43907462
    {'hecke_orbit_code': 22517998304624929, 'n': 14, 'trace_an': 0}
  • id: 43907463
    {'hecke_orbit_code': 22517998304624929, 'n': 15, 'trace_an': -127332}
  • id: 43907464
    {'hecke_orbit_code': 22517998304624929, 'n': 16, 'trace_an': -279932}
  • id: 43907465
    {'hecke_orbit_code': 22517998304624929, 'n': 17, 'trace_an': 0}
  • id: 43907466
    {'hecke_orbit_code': 22517998304624929, 'n': 18, 'trace_an': 888764}
  • id: 43907467
    {'hecke_orbit_code': 22517998304624929, 'n': 19, 'trace_an': -2280212}
  • id: 43907468
    {'hecke_orbit_code': 22517998304624929, 'n': 20, 'trace_an': 0}
  • id: 43907469
    {'hecke_orbit_code': 22517998304624929, 'n': 21, 'trace_an': 775748}
  • id: 43907470
    {'hecke_orbit_code': 22517998304624929, 'n': 22, 'trace_an': 0}
  • id: 43907471
    {'hecke_orbit_code': 22517998304624929, 'n': 23, 'trace_an': 0}
  • id: 43907472
    {'hecke_orbit_code': 22517998304624929, 'n': 24, 'trace_an': 0}
  • id: 43907473
    {'hecke_orbit_code': 22517998304624929, 'n': 25, 'trace_an': -2762628}
  • id: 43907474
    {'hecke_orbit_code': 22517998304624929, 'n': 26, 'trace_an': -3334452}
  • id: 43907475
    {'hecke_orbit_code': 22517998304624929, 'n': 27, 'trace_an': 0}
  • id: 43907476
    {'hecke_orbit_code': 22517998304624929, 'n': 28, 'trace_an': 0}
  • id: 43907477
    {'hecke_orbit_code': 22517998304624929, 'n': 29, 'trace_an': 0}
  • id: 43907478
    {'hecke_orbit_code': 22517998304624929, 'n': 30, 'trace_an': -39084792}
  • id: 43907479
    {'hecke_orbit_code': 22517998304624929, 'n': 31, 'trace_an': 0}
  • id: 43907480
    {'hecke_orbit_code': 22517998304624929, 'n': 32, 'trace_an': 2010240}
  • id: 43907481
    {'hecke_orbit_code': 22517998304624929, 'n': 33, 'trace_an': -30349992}
  • id: 43907482
    {'hecke_orbit_code': 22517998304624929, 'n': 34, 'trace_an': 0}
  • id: 43907483
    {'hecke_orbit_code': 22517998304624929, 'n': 35, 'trace_an': -25532364}
  • id: 43907484
    {'hecke_orbit_code': 22517998304624929, 'n': 36, 'trace_an': 31177320}
  • id: 43907485
    {'hecke_orbit_code': 22517998304624929, 'n': 37, 'trace_an': 0}
  • id: 43907486
    {'hecke_orbit_code': 22517998304624929, 'n': 38, 'trace_an': -13171392}
  • id: 43907487
    {'hecke_orbit_code': 22517998304624929, 'n': 39, 'trace_an': 0}
  • id: 43907488
    {'hecke_orbit_code': 22517998304624929, 'n': 40, 'trace_an': 0}
  • id: 43907489
    {'hecke_orbit_code': 22517998304624929, 'n': 41, 'trace_an': 0}
  • id: 43907490
    {'hecke_orbit_code': 22517998304624929, 'n': 42, 'trace_an': -86527192}
  • id: 43907491
    {'hecke_orbit_code': 22517998304624929, 'n': 43, 'trace_an': 61046960}
  • id: 43907492
    {'hecke_orbit_code': 22517998304624929, 'n': 44, 'trace_an': 0}
  • id: 43907493
    {'hecke_orbit_code': 22517998304624929, 'n': 45, 'trace_an': 0}
  • id: 43907494
    {'hecke_orbit_code': 22517998304624929, 'n': 46, 'trace_an': 0}
  • id: 43907495
    {'hecke_orbit_code': 22517998304624929, 'n': 47, 'trace_an': -153365328}
  • id: 43907496
    {'hecke_orbit_code': 22517998304624929, 'n': 48, 'trace_an': 0}
  • id: 43907497
    {'hecke_orbit_code': 22517998304624929, 'n': 49, 'trace_an': 169445876}
  • id: 43907498
    {'hecke_orbit_code': 22517998304624929, 'n': 50, 'trace_an': -236105676}
  • id: 43907499
    {'hecke_orbit_code': 22517998304624929, 'n': 51, 'trace_an': 0}
  • id: 43907500
    {'hecke_orbit_code': 22517998304624929, 'n': 52, 'trace_an': -209898380}
  • id: 43907501
    {'hecke_orbit_code': 22517998304624929, 'n': 53, 'trace_an': 85777812}
  • id: 43907502
    {'hecke_orbit_code': 22517998304624929, 'n': 54, 'trace_an': 0}
  • id: 43907503
    {'hecke_orbit_code': 22517998304624929, 'n': 55, 'trace_an': -255767540}
  • id: 43907504
    {'hecke_orbit_code': 22517998304624929, 'n': 56, 'trace_an': 0}
  • id: 43907505
    {'hecke_orbit_code': 22517998304624929, 'n': 57, 'trace_an': 0}
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    {'hecke_orbit_code': 22517998304624929, 'n': 929, 'trace_an': 0}
  • id: 43907696
    {'hecke_orbit_code': 22517998304624929, 'n': 937, 'trace_an': 147684147386052}
  • id: 43907697
    {'hecke_orbit_code': 22517998304624929, 'n': 941, 'trace_an': 0}
  • id: 43907698
    {'hecke_orbit_code': 22517998304624929, 'n': 947, 'trace_an': 0}
  • id: 43907699
    {'hecke_orbit_code': 22517998304624929, 'n': 953, 'trace_an': 39264228219372}
  • id: 43907700
    {'hecke_orbit_code': 22517998304624929, 'n': 961, 'trace_an': -294575593878108}
  • id: 43907701
    {'hecke_orbit_code': 22517998304624929, 'n': 967, 'trace_an': 250294571484980}
  • id: 43907702
    {'hecke_orbit_code': 22517998304624929, 'n': 971, 'trace_an': 45742589547960}
  • id: 43907703
    {'hecke_orbit_code': 22517998304624929, 'n': 977, 'trace_an': 57524063820312}
  • id: 43907704
    {'hecke_orbit_code': 22517998304624929, 'n': 983, 'trace_an': 0}
  • id: 43907705
    {'hecke_orbit_code': 22517998304624929, 'n': 991, 'trace_an': 0}
  • id: 43907706
    {'hecke_orbit_code': 22517998304624929, 'n': 997, 'trace_an': 0}