Embedded newform data - 92.9.c.a.47.12

Formats: - HTML - YAML - JSON - 2025-01-07T02:35:31.426974

• 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': 7452, 'analytic_conductor': 37.478832125623704, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 4, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': -1, 'char_values': [92, 2, [47, 5], [1, 2]], 'cm_discs': [], 'conrey_index': 47, 'dim': 88, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 137589948508, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 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': '92.9.c.a', 'level': 92, 'level_is_powerful': False, '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, 23], 'level_radical': 46, 'minimal_twist': '92.9.c.a', 'prim_orbit_index': 2, 'related_objects': [], 'relative_dim': 88, 'rm_discs': [], 'sato_tate_group': '8.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '92.9.c', 'trace_display': [0, 0, -336, 0], 'traces': [88, 0, 0, 0, -336, 1617, 0, -13707, -196264, 40114, 0, -82415, 22832, 55992, 0, 139024, -165648, -137887, 0, 826404, 243648, 190556, 0, 806812, 5352264, -400071, 0, -144030, -68880, 4238350, 0, -677400, -7361920, 3050514, 0, -3205341, 7315760, 1382580, 0, 10970414, -12346320, 7494600, 0, 17441382, 3674160, 0, 0, 14005507, -91440872, -2588880, 0, 8768159, 14065392, 31363867, 0, 10203234, 11957760, -21193149, 0, -49409940, -31411920, -78422451, 0, -116044989, -10826592, 72565110, 0, -44104524, 0, 20281836, 0, -16769577, 132336752, -105133362, 0, -79234096, -38629440, -248872373, 0, 467348814, 559801880, 99388093, 0, -297509602, -101508064, -284552958, 0, -36574500, 255434928, 159386596, 0, 0, 103559424, 453990485, 0, 9030819, -182327632, -53187756, 0, -217318196, -82867344, 50040436, 0, 81137088, -6689472, 292689402, 0, -290775125, 199544624, 294636936, 0, 868738204, -542222160, 805996590, 0, 334884717, -158522256, -761246164, 0, 1133658602, -1406907496, -841247694, 0, -149281583, 353664096, -1503192796, 0, 6886740, -1688283968, 1364626710, 0, 154505584, -842763264, 1587623028, 0, -511055068, 1115570736, 452502897, 0, -3996758868, 1646687232, -1101555235, 0, -646253397, -3385114272, -1885619769, 0, 1647347796, -1837730832, -971530577, 0, 118993038, 2303390768, 2028403420, 0, -1096553833, 2964229296, -959698554, 0, 1067449940, 0, 29069200, 0, 2549920707, -1057807936, 1477497182, 0, -2016793894, 8338964424, 1450369980, 0, 6612903658, -788579088, -2111899383, 0, -1693557396, -1627863168, -190749318, 0, -5810989540, -2074925648, -4451643396, 0, 1392768657, 6554428704, 2990693713, 0, -1256012799, 7169806848, 2246187060, 0, 10284388600, -5098260176, 2908854438, 0, 1888335128, -9839089680, 5415352606, 0, -5893667217, 3991232448, -7854383416, 0, -7414091682, 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1457731170484, 1875583577696, -5934935957052, 0, -646358222246, -295135989696, 318077013032, 0, -4066349194269, -1785263361984, -5445654544568, 0, 5297817418594, 2551577161968, 1494114789405, 0, 1036195740420], 'weight': 9, '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

  
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0.5105295722022872], [0.369075368623788, -1.0229864780695863]], 'angles': [None, -0.4716474021807659, -0.1849487142858112, 0.1032631969651477, 0.05803514532402972, -0.3564505929055935, -0.23580911989170691, 0.10164051831171837, None, -0.15417686658737662, -0.46085725691919727, -0.31277189926729493, -0.43353330477319346, -0.49467103323656414, 0.0405297254942561, -0.35441313996047596, -0.46294600636633515, -0.22966092164861993, 0.045151805251142894, 0.1001357331869071, -0.4149778024302512, 0.12306805926753012, 0.08816359396164503, -0.24422259680228714, -0.18906839371266787, -0.22392809488886586, 0.04311749970948572, -0.4545292713626139, -0.20174413379942968, -0.1720642573713569, -0.42056704434281283, 0.14053552737810768, -0.3932255090153295, 0.09538276032796462, -0.3133039725221681, 0.1492072023373648, -0.19720287858813515, 0.048968222980374586, 0.016935576452825726, -0.31689813042932635, -0.39448418234461596, -0.14735381562140443, -0.4894102526840024, -0.13927799610294112, 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0.09075690091856078, -0.3652047995977861, -0.19840804000620643, 0.029196790573313224, -0.27739585358501223, 0.0651495751540751, -0.43431931563108095, -0.2544947125430751, 0.03483929891711853, -0.1617455428712862, -0.2707493741403623, 0.18367795868551523, -0.4372538733152895, -0.185984499221962, -0.3439707762667035, -0.4703124284612134, 0.10047650684614418, -0.410324597496543, -0.4574623672485863, 0.05924960903546579, -0.16269679655554892, -0.2716092448882522, -0.12075367576693768, -0.4163462095292207, -0.12269319981193187, 0.08049309519165081, -0.3937719177126517, -0.32650293002512426, 0.06955853983882462, 0.09416291618148062, -0.22213640039331], 'char_orbit_index': 3, 'conrey_index': 47, 'dual_conrey_index': 47, 'dual_embedding_index': 11, 'dual_embedding_m': 11, 'embedding_index': 12, 'embedding_m': 12, 'hecke_orbit': 1, 'hecke_orbit_code': 137589948508, 'label': '92.9.c.a.47.12', 'level': 92, 'weight': 9}
• mf_newspaces •

  Column	Type
  ALdims	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': 7452, 'analytic_conductor': 37.478832125623704, 'char_conductor': 4, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': -1, 'char_values': [92, 2, [47, 5], [1, 2]], 'conrey_index': 47, 'cusp_dim': 94, 'dim': 88, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_orbit_code': 137589948508, 'hecke_orbit_dims': [88], 'label': '92.9.c', 'level': 92, 'level_is_powerful': False, '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, 23], 'level_radical': 46, 'mf_dim': 98, 'mf_new_dim': 88, 'num_forms': 1, 'prim_orbit_index': 2, 'relative_dim': 88, 'sturm_bound': 108, 'trace_bound': 0, 'trace_display': [0, 0, -336, 0], 'traces': [88, 0, 0, 0, -336, 1617, 0, -13707, -196264, 40114, 0, -82415, 22832, 55992, 0, 139024, -165648, -137887, 0, 826404, 243648, 190556, 0, 806812, 5352264, -400071, 0, -144030, -68880, 4238350, 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: 1604841
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 47, 'source_dim': 88, 'source_embedding_index': 12, 'source_hecke_orbit_code': 137589948508, 'source_is_minimal': True, 'source_label': '92.9.c.a.47.12', 'source_level': 92, 'target_conrey_index': 47, 'target_dim': 88, 'target_embedding_index': 12, 'target_hecke_orbit_code': 137589948508, 'target_is_minimal': True, 'target_label': '92.9.c.a.47.12', 'target_level': 92, 'twist_class_label': '92.9.c.a.47.11', 'twist_class_level': 92, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 9}
  • id: 1604842
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 47, 'source_dim': 88, 'source_embedding_index': 12, 'source_hecke_orbit_code': 137589948508, 'source_is_minimal': True, 'source_label': '92.9.c.a.47.12', 'source_level': 92, 'target_conrey_index': 47, 'target_dim': 88, 'target_embedding_index': 11, 'target_hecke_orbit_code': 137589948508, 'target_is_minimal': True, 'target_label': '92.9.c.a.47.11', 'target_level': 92, 'twist_class_label': '92.9.c.a.47.11', 'twist_class_level': 92, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 9}
• hecke_orbit_code 137589948508 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': 3, 'hecke_orbit': 1, 'label': '92.9.c.a', 'level': 92, 'portrait': 'data:image/png;base64,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', 'weight': 9}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 6137077
    {'hecke_orbit_code': 137589948508, 'n': 1, 'trace_an': 88}
  • id: 6137078
    {'hecke_orbit_code': 137589948508, 'n': 2, 'trace_an': 0}
  • id: 6137079
    {'hecke_orbit_code': 137589948508, 'n': 3, 'trace_an': 0}
  • id: 6137080
    {'hecke_orbit_code': 137589948508, 'n': 4, 'trace_an': 0}
  • id: 6137081
    {'hecke_orbit_code': 137589948508, 'n': 5, 'trace_an': -336}
  • id: 6137082
    {'hecke_orbit_code': 137589948508, 'n': 6, 'trace_an': 1617}
  • id: 6137083
    {'hecke_orbit_code': 137589948508, 'n': 7, 'trace_an': 0}
  • id: 6137084
    {'hecke_orbit_code': 137589948508, 'n': 8, 'trace_an': -13707}
  • id: 6137085
    {'hecke_orbit_code': 137589948508, 'n': 9, 'trace_an': -196264}
  • id: 6137086
    {'hecke_orbit_code': 137589948508, 'n': 10, 'trace_an': 40114}
  • id: 6137087
    {'hecke_orbit_code': 137589948508, 'n': 11, 'trace_an': 0}
  • id: 6137088
    {'hecke_orbit_code': 137589948508, 'n': 12, 'trace_an': -82415}
  • id: 6137089
    {'hecke_orbit_code': 137589948508, 'n': 13, 'trace_an': 22832}
  • id: 6137090
    {'hecke_orbit_code': 137589948508, 'n': 14, 'trace_an': 55992}
  • id: 6137091
    {'hecke_orbit_code': 137589948508, 'n': 15, 'trace_an': 0}
  • id: 6137092
    {'hecke_orbit_code': 137589948508, 'n': 16, 'trace_an': 139024}
  • id: 6137093
    {'hecke_orbit_code': 137589948508, 'n': 17, 'trace_an': -165648}
  • id: 6137094
    {'hecke_orbit_code': 137589948508, 'n': 18, 'trace_an': -137887}
  • id: 6137095
    {'hecke_orbit_code': 137589948508, 'n': 19, 'trace_an': 0}
  • id: 6137096
    {'hecke_orbit_code': 137589948508, 'n': 20, 'trace_an': 826404}
  • id: 6137097
    {'hecke_orbit_code': 137589948508, 'n': 21, 'trace_an': 243648}
  • id: 6137098
    {'hecke_orbit_code': 137589948508, 'n': 22, 'trace_an': 190556}
  • id: 6137099
    {'hecke_orbit_code': 137589948508, 'n': 23, 'trace_an': 0}
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  • id: 6137302
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  • id: 6137303
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  • id: 6137304
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  • id: 6137305
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  • id: 6137306
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  • id: 6137307
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  • id: 6137308
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  • id: 6137309
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  • id: 6137310
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  • id: 6137311
    {'hecke_orbit_code': 137589948508, 'n': 841, 'trace_an': 1425711004744}
  • id: 6137312
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  • id: 6137313
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  • id: 6137314
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  • id: 6137315
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  • id: 6137316
    {'hecke_orbit_code': 137589948508, 'n': 877, 'trace_an': -4499587205392}
  • id: 6137317
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  • id: 6137318
    {'hecke_orbit_code': 137589948508, 'n': 883, 'trace_an': 0}
  • id: 6137319
    {'hecke_orbit_code': 137589948508, 'n': 887, 'trace_an': 0}
  • id: 6137320
    {'hecke_orbit_code': 137589948508, 'n': 907, 'trace_an': 0}
  • id: 6137321
    {'hecke_orbit_code': 137589948508, 'n': 911, 'trace_an': 0}
  • id: 6137322
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  • id: 6137323
    {'hecke_orbit_code': 137589948508, 'n': 929, 'trace_an': 5372164314288}
  • id: 6137324
    {'hecke_orbit_code': 137589948508, 'n': 937, 'trace_an': 2401762695088}
  • id: 6137325
    {'hecke_orbit_code': 137589948508, 'n': 941, 'trace_an': 2010527470896}
  • id: 6137326
    {'hecke_orbit_code': 137589948508, 'n': 947, 'trace_an': 0}
  • id: 6137327
    {'hecke_orbit_code': 137589948508, 'n': 953, 'trace_an': 4899326187504}
  • id: 6137328
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  • id: 6137329
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  • id: 6137330
    {'hecke_orbit_code': 137589948508, 'n': 971, 'trace_an': 0}
  • id: 6137331
    {'hecke_orbit_code': 137589948508, 'n': 977, 'trace_an': -4001753370576}
  • id: 6137332
    {'hecke_orbit_code': 137589948508, 'n': 983, 'trace_an': 0}
  • id: 6137333
    {'hecke_orbit_code': 137589948508, 'n': 991, 'trace_an': 0}
  • id: 6137334
    {'hecke_orbit_code': 137589948508, 'n': 997, 'trace_an': 2551577161968}