Embedded newform data - 117.10.a.c.1.1

Formats: - HTML - YAML - JSON - 2025-01-15T15:05:11.665793

• 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': 11700, 'analytic_conductor': 60.25919283117316, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [13, 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': [117, 1, [92, 28], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 4436127580993, 'field_disc_factorization': [[659, 1], [6731604827, 1]], 'field_poly': [342272, 1544, -1602, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [232000, 24936, -1194, -33, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199422513269, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '117.10.a.c', 'level': 117, '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': [3, 13], 'level_radical': 39, 'minimal_twist': '13.10.a.a', 'prim_orbit_index': 1, 'qexp_display': 'q+(8+\\beta _{1})q^{2}+(352+15\\beta _{1}+\\beta _{2}+6\\beta _{3})q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '117.10.a', 'trace_display': [33, 0, -471, -11241], 'trace_hash': 1247609106974451973, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.088', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.817', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.050', 'prec': 17}, {'__RealLiteral__': 0, 'data': '41.329', 'prec': 20}, {'__RealLiteral__': 0, 'data': '47.607', 'prec': 20}, {'__RealLiteral__': 0, 'data': '689.267', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [4, 33, 0, 1429, -471, 0, -11241, 45543, 0, -67831, 40140, 0, -114244, 277653, 0, 726609, -78717, 0, 209664, -870843, 0, 1364090, 4257444, 0, -2900157, -942513, 0, 4035181, 1647936, 0, -11366002, 29458959, 0, 26257659, 13789797, 0, 4636891, -25172466, 0, 22536791, -13859538, 0, -33368081, -66489222, 0, 71369332, 3943005, 0, 23294923, 4217748, 0, -40813669, 171019326, 0, -121160538, 281552967, 0, 79964734, 63389388, 0, 77050190, 95878740, 0, 768962465, 13452231, 0, -41174072, 717615423, 0, 409056389, -252460989, 0, 594415068, 957058539, 0, -326897170, -561950454, 0, 115998984, 509107233, 0, -875148240, 79577862, 0, 549463469, 589924887, 0, -2327564370, 1152240276, 0, 321054201, 4213481460, 0, 1859909503, 1273705170, 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'weight': 10, '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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-0.27326382062409316, -0.19868315348181292, -0.14848568838493195, -0.3485539034500326, -0.3965162806106819, -0.13544754257463126, -0.19260194260084448, -0.1653321025697222, -0.13365624673313967, -0.2651455085538897, -0.19231186051385915, -0.14309191389589024, -0.16076993890728494, -0.25455127312777726, -0.2899134245821584, -0.2895249910839551, -0.1321092255730017, -0.2110633760526454, -0.2435736083481408, -0.33194752731459104, -0.4092788746807665, -0.15094276475195278, -0.22561850942250522, -0.17453710931250654, -0.25658769268989995, -0.19758975059813338, -0.27897115287552005, -0.2903863176408913, -0.20521057314673827, -0.1362986197424272, -0.11477741178610619, -0.29173033656073166, -0.20110064099507174, -0.26036550498147365, -0.22395978005223605, -0.2503647777798201, -0.28013653886473944, -0.34923035358517013, -0.24594132607559036, -0.21781121032244027, -0.10003123393999687, -0.23342442833100174, -0.12545927797165965, -0.2957494970420991, -0.3304660144216409, -0.3334501054872728, 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-0.30443371271714315, -0.21149046674792923, -0.1737965516920846, -0.3632764246009859, -0.3152647219887383, -0.16066205216812857, -0.2526772542863858, -0.2091803821755693, -0.12318048713932539, -0.15815562078709108, -0.21953000422768265, -0.1805512963406293, -0.14558984358708318, -0.18281877260328672, -0.33921010105704485], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': -36.80283027124862, 'hecke_orbit': 3, 'hecke_orbit_code': 9007199422513269, 'label': '117.10.a.c.1.1', 'level': 117, 'weight': 10}
• 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

  
  {'ALdims': [8, 10, 14, 13], 'Nk2': 11700, 'analytic_conductor': 60.25919283117316, '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': [117, 1, [92, 28], [1, 1]], 'conrey_index': 1, 'cusp_dim': 122, 'dim': 45, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 167772277, 'hecke_orbit_dims': [3, 4, 4, 5, 5, 6, 8, 10], 'label': '117.10.a', 'level': 117, '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': [3, 13], 'level_radical': 39, 'mf_dim': 130, 'mf_new_dim': 45, 'num_forms': 8, 'plus_dim': 21, 'prim_orbit_index': 1, 'relative_dim': 45, 'sturm_bound': 140, 'trace_bound': 2, 'trace_display': [-50, 0, -3410, 18370], 'traces': [45, -50, 0, 12374, -3410, 0, 18370, -46968, 0, -52302, 65178, 0, 28561, 691370, 0, 3648538, 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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: 40525520
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513269, 'source_is_minimal': False, 'source_label': '117.10.a.c.1.1', 'source_level': 117, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199422513269, 'target_is_minimal': False, 'target_label': '117.10.a.c.1.1', 'target_level': 117, 'twist_class_label': '13.10.a.a.1.4', 'twist_class_level': 13, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 40525521
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513269, 'source_is_minimal': False, 'source_label': '117.10.a.c.1.1', 'source_level': 117, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 167772173, 'target_is_minimal': True, 'target_label': '13.10.a.a.1.4', 'target_level': 13, 'twist_class_label': '13.10.a.a.1.4', 'twist_class_level': 13, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 40525522
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513269, 'source_is_minimal': False, 'source_label': '117.10.a.c.1.1', 'source_level': 117, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 27021597931995344, 'target_is_minimal': False, 'target_label': '208.10.a.g.1.4', 'target_level': 208, 'twist_class_label': '13.10.a.a.1.4', 'twist_class_level': 13, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 10}
  • id: 40525523
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513269, 'source_is_minimal': False, 'source_label': '117.10.a.c.1.1', 'source_level': 117, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772485, 'target_is_minimal': False, 'target_label': '325.10.a.a.1.1', 'target_level': 325, 'twist_class_label': '13.10.a.a.1.4', 'twist_class_level': 13, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 10}
  • id: 40525524
    {'conductor': 39, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199422513269, 'source_is_minimal': False, 'source_label': '117.10.a.c.1.1', 'source_level': 117, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772329, 'target_is_minimal': False, 'target_label': '169.10.a.a.1.1', 'target_level': 169, 'twist_class_label': '13.10.a.a.1.4', 'twist_class_level': 13, 'twisting_char_label': '39.38', 'twisting_conrey_index': 38, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 335425
    {'charpoly_factorization': [[[232000, 24936, -1194, -33, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 2}
  • id: 335426
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007199422513269, 'p': 3}
  • id: 335427
    {'charpoly_factorization': [[[87830562190, 219060669, -2345251, 471, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 5}
  • id: 335428
    {'charpoly_factorization': [[[374218195104754, -403152516081, -29174635, 11241, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 7}
  • id: 335429
    {'charpoly_factorization': [[[2749396984810271536, 23004338430384, -4224578576, -40140, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 11}
  • id: 335430
    {'charpoly_factorization': [[[28561, 1], 4]], 'hecke_orbit_code': 9007199422513269, 'p': 13}
  • id: 335431
    {'charpoly_factorization': [[[2504426796182216860318, -62214393768769401, -294807964635, 78717, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 17}
  • id: 335432
    {'charpoly_factorization': [[[5073678564735258302608, 24264600616548864, -178179435304, -209664, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 19}
  • id: 335433
    {'charpoly_factorization': [[[-17784259512566602681473536, 17717829119888996928, 161598714256, -4257444, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 23}
  • id: 335434
    {'charpoly_factorization': [[[3739481850386914675694032, 8121272877746119872, -20712677162648, -1647936, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 29}
  • id: 335435
    {'charpoly_factorization': [[[-589618052170670963566636160, -212895602023189419808, 12872013899960, 11366002, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 31}
  • id: 335436
    {'charpoly_factorization': [[[6199889947975601494558684462, 316034969567887558927, -158790079378363, -4636891, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 37}
  • id: 335437
    {'charpoly_factorization': [[[155902205778495349633073152, -178917635030929229568, -62623227337488, 13859538, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 41}
  • id: 335438
    {'charpoly_factorization': [[[26969419396454994718583570740, -7473740462562637072337, -525442991584885, 33368081, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 43}
  • id: 335439
    {'charpoly_factorization': [[[1050080959542420794622111907450, 5134039059856780852509, -2132771223484795, -3943005, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 47}
  • id: 335440
    {'charpoly_factorization': [[[-2720444652543428067358390648448, 10468519995181074917088, 7199479656345880, -171019326, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 53}
  • id: 335441
    {'charpoly_factorization': [[[-26145147623162258204550973298768, 1405131574378166235386928, -16047276967049328, -63389388, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 59}
  • id: 335442
    {'charpoly_factorization': [[[6027643178913039104039569334272, 44956512918029433747584, -7375110288253984, -77050190, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 61}
  • id: 335443
    {'charpoly_factorization': [[[192219519421665558045114975699664, -1455782941945705450771424, -41623653127096888, 41174072, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 67}
  • id: 335444
    {'charpoly_factorization': [[[45423640440130712431959947477554, -2885665392060765217839549, -38990637051529715, 252460989, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 71}
  • id: 335445
    {'charpoly_factorization': [[[-470512597239425211233018391187472, 12829435284729004114897776, 52310038600277504, -594415068, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 73}
  • id: 335446
    {'charpoly_factorization': [[[2599687490921045698469912978846464, 8121062078181238589716608, -108141359146702144, -115998984, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 79}
  • id: 335447
    {'charpoly_factorization': [[[-1299618010045374505294260629209088, 35975880198807141194714112, -232755004872216288, -79577862, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 83}
  • id: 335448
    {'charpoly_factorization': [[[-348165158358737880187171327114038800, 1183881845956597549191071952, -654527827686731200, -1152240276, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 89}
  • id: 335449
    {'charpoly_factorization': [[[21998992870778570057771256604870960, 55723796307371289318964624, -666257686044070480, -1049098084, 1], 1]], 'hecke_orbit_code': 9007199422513269, 'p': 97}
• 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': 3, 'label': '117.10.a.c', 'level': 117, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29198869
    {'hecke_orbit_code': 9007199422513269, 'n': 1, 'trace_an': 4}
  • id: 29198870
    {'hecke_orbit_code': 9007199422513269, 'n': 2, 'trace_an': 33}
  • id: 29198871
    {'hecke_orbit_code': 9007199422513269, 'n': 3, 'trace_an': 0}
  • id: 29198872
    {'hecke_orbit_code': 9007199422513269, 'n': 4, 'trace_an': 1429}
  • id: 29198873
    {'hecke_orbit_code': 9007199422513269, 'n': 5, 'trace_an': -471}
  • id: 29198874
    {'hecke_orbit_code': 9007199422513269, 'n': 6, 'trace_an': 0}
  • id: 29198875
    {'hecke_orbit_code': 9007199422513269, 'n': 7, 'trace_an': -11241}
  • id: 29198876
    {'hecke_orbit_code': 9007199422513269, 'n': 8, 'trace_an': 45543}
  • id: 29198877
    {'hecke_orbit_code': 9007199422513269, 'n': 9, 'trace_an': 0}
  • id: 29198878
    {'hecke_orbit_code': 9007199422513269, 'n': 10, 'trace_an': -67831}
  • id: 29198879
    {'hecke_orbit_code': 9007199422513269, 'n': 11, 'trace_an': 40140}
  • id: 29198880
    {'hecke_orbit_code': 9007199422513269, 'n': 12, 'trace_an': 0}
  • id: 29198881
    {'hecke_orbit_code': 9007199422513269, 'n': 13, 'trace_an': -114244}
  • id: 29198882
    {'hecke_orbit_code': 9007199422513269, 'n': 14, 'trace_an': 277653}
  • id: 29198883
    {'hecke_orbit_code': 9007199422513269, 'n': 15, 'trace_an': 0}
  • id: 29198884
    {'hecke_orbit_code': 9007199422513269, 'n': 16, 'trace_an': 726609}
  • id: 29198885
    {'hecke_orbit_code': 9007199422513269, 'n': 17, 'trace_an': -78717}
  • id: 29198886
    {'hecke_orbit_code': 9007199422513269, 'n': 18, 'trace_an': 0}
  • id: 29198887
    {'hecke_orbit_code': 9007199422513269, 'n': 19, 'trace_an': 209664}
  • id: 29198888
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