Embedded newform data - 162.12.c.l.109.1

Formats: - HTML - YAML - JSON - 2025-09-21T07:01:34.964238

• 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': 23328, 'analytic_conductor': 124.4715952506534, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 9, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [162, 3, [83], [2]], 'cm_discs': [], 'conrey_index': 55, 'dim': 4, 'field_disc': 106929, 'field_disc_factorization': [[3, 2], [109, 2]], 'field_poly': [729, 27, 28, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [802294295040000, 105368256000, 42163200, -3720, 1]]], 'hecke_orbit': 12, 'hecke_orbit_code': 49539733541355682, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 46656, 'hecke_ring_index_factorization': [[2, 6], [3, 6]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 9, 3, 1, 3, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '162.12.c.l', 'level': 162, '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, 3], 'level_radical': 6, 'minimal_twist': '54.12.a.d', 'nf_label': '4.0.106929.1', 'prim_orbit_index': 3, 'qexp_display': 'q+(-2^{5}+2^{5}\\beta _{1})q^{2}-2^{10}\\beta _{1}q^{4}+(1860\\beta _{1}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '11.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '162.12.c', 'trace_display': [-64, 0, 3720, 6794], 'trace_hash': 621528486438529464, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.061', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '65.395', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1809.106', 'prec': 27}], 'trace_zratio': 0, 'traces': [4, -64, 0, -2048, 3720, 0, 6794, 131072, 0, -238080, 832632, 0, -984634, 217408, 0, -2097152, -10222128, 0, -45838540, 3809280, 0, 26644224, -5263656, 0, 27168250, 63016576, 0, -13914112, 37534848, 0, 328859480, -67108864, 0, 163554048, -1093537200, 0, -193134772, 733416640, 0, 121896960, 478653312, 0, -133709104, -1705230336, 0, 336873984, 4431713208, 0, -991193604, 869384000, 0, -1008265216, -9509944032, 0, 16802824320, 222625792, 0, 1201115136, 9940537848, 0, -6058984510, -21047006720, 0, 4294967296, 22326000360, 0, 6772264670, 5233729536, 0, 17496595200, -51162730848, 0, 31615248932, 3090156352, 0, 23469332480, 57475455528, 0, 28139021846, -7801405440, 0, -30633811968, -77207454480, 0, 45022737600, -4278691328, 0, 27283685376, 76591168272, 0, 354015024316, -5389983744, 0, 141814822656, 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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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[-0.8114173900745496, 0.0], [0.5305717624808285, 0.9189772496781616], [0.0, 0.0], [-0.20766413736977737, 0.35968483683441715], [-0.17670090461402488, 0.306054944534873], [0.0, 0.0], [-0.15218906432228638, -0.2635991917625679], [0.11383106879998783, 0.0], [0.0, 0.0], [-0.06773354463802955, 0.0], [0.16367444830306788, 0.2834924603617192], [0.0, 0.0], [0.31015808418164625, -0.5372095601808363], [-0.2627181576915213, 0.4550411971926071], [0.0, 0.0], [-0.1390853708920607, -0.24090292897461055], [0.15130943863989038, 0.0], [0.0, 0.0], [-0.512927724728542, 0.0], [0.03100462545674707, 0.05370158656072934], [0.0, 0.0], [-0.818204640181692, 1.4171720077833023], [0.20821297832373073, -0.36063545725193896], [0.0, 0.0], [-0.43927673987576465, -0.7608496320480418], [0.8181476353332452, 0.0], [0.0, 0.0], [-0.3264160460981021, 0.0]], 'angles': [None, None, -0.460230571778284, 0.01829879324764418, -0.11200838273847447, -0.33425275875289145, -0.3587403675019673, -0.2953308823502, 0.21921254327010947, -0.035796296638991636, -0.3886075673230795, -0.28826525330018443, -0.35361567394222315, -0.09132393831653504, 0.05459930428558027, -0.33625151262196457, -0.38449987808440267, -0.42731599808598014, -0.33678574592185784, -0.4613465376487147, -0.13725015886211983, 0.020552041368455527, -0.13622452218125797, -0.18020021767923863, -0.10659698153585415, -0.14801398810332866, 0.2172825078773816, -0.23371149146610637, -0.10617668472059348, 0.25970173220648524, -0.24810539866986245, -0.3718642070286614, -0.1466932539677092, -0.4719361813452284, -0.2854156147885155, -0.13541825269297966, -0.4568805074233788, -0.36414868731421246, -0.37345067688901085, -0.4156641213629989, -0.377970864378265, -0.1702187048498597, -0.4056455087330352, -0.39326824257306936, -0.3472457898511579, -0.3129217696901542, -0.2447304939968178, -0.10246806883036272, -0.40358450133033164, -0.24831080041651807, -0.13451277249755106, -0.3035658738795615, -0.09330260000432473, -0.32610678968086954, -0.4383174036874393, 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-0.32266208060308943, -0.42538318930125024, 0.053270788104728274, -0.47959260476295434, -0.13961180492724876, -0.022851329712924688, -0.1835629196135049, -0.4022022180311818, 0.0270840988517003, -0.4990251084001472, -0.2442582063363123, -0.3155273254033199, -0.027701513539655224, -0.24969563725822297, 0.04518032135197884, -0.3181824643892242, -0.2863832952933797, -0.49844639788527195, -0.013483952412962769, -0.45616155721917734, 0.013787050603056428, -0.4759207976179812, -0.20203605515830017, -0.05995705640595626, -0.1713589795101212, -0.4201987568310681, -0.1415633852009996, -0.050722424854374185, -0.33218466994660956, -0.177557400563332, -0.43422971941300603, -0.4991097802332501, -0.33779675506099505, -0.3916311976108728, 0.20368713443348282, -0.35321950770701643, -0.48728459272711944, -0.3985758227434621, -0.25332631112471293, -0.10232582526527773, -0.012830576695526058, -0.45644768965080085, -0.3698475796653675, -0.30407261481382974, -0.12502890603678293, -0.45908721018112286, -0.47241661294212667, -0.4866363661734408, -0.14281250621759167, -0.29405793369711997, -0.3273630456585694, -0.270669068830772, -0.38752664412810905, -0.4811321232453561, -0.49136359873317026, -0.21024178440998098, -0.0839739362426819, -0.3721995544390353, -0.4915504399892229, 0.011017763441213475, -0.2692696500126997, -0.40713734299285453, -0.3144760567837932, -0.4449379318423097, -0.05716600240948117, -0.29127873110441893, -0.15571595389468199], 'char_orbit_index': 3, 'conrey_index': 109, 'dual_conrey_index': 55, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 3, 'embedding_root_imag': 4.087772628114061, 'embedding_root_real': -2.3600766272276377, 'hecke_orbit': 12, 'hecke_orbit_code': 49539733541355682, 'label': '162.12.c.l.109.1', 'level': 162, 'weight': 12}
• 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': 23328, 'analytic_conductor': 124.4715952506534, 'char_conductor': 9, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [162, 3, [83], [2]], 'conrey_index': 55, 'cusp_dim': 570, 'dim': 88, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 137640280226, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4, 6, 6, 12, 12], 'label': '162.12.c', 'level': 162, '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, 3], 'level_radical': 6, 'mf_dim': 618, 'mf_new_dim': 88, 'num_forms': 22, 'prim_orbit_index': 3, 'relative_dim': 44, 'sturm_bound': 324, 'trace_bound': 5, 'trace_display': [0, 0, 0, 85130], 'traces': [88, 0, 0, -45056, 0, 0, 85130, 0, 0, 0, 0, 0, 2797070, 0, 0, -46137344, 0, 0, -30807448, 0, 0, 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0, 0, 155987781735739914, 0, 0, 11573660690278400, 0, 0, 74683167174406580, 0, 0, 8057484000426048, 0, 0, -219935501797576168, 0, 0, -41778285725614080, 0, 0, -165008172356082600, 0, 0, -94310804482362816, 0, 0, -413999362221573448, 0, 0, -4264057632337920, 0, 0, 220611956314832568, 0, 0, 154161401257581312, 0, 0, 81116652372372154, 0, 0, -19776690401574912, 0, 0, 17463432850407360, 0, 0, -69691206334109568, 0, 0, -205947788517055122, 0, 0, -8544090236293120, 0, 0, 173313980653554746, 0, 0, 40890083158654272, 0, 0, 606800785360412416, 0, 0, 12894137986580480, 0, 0, -142481642758497180, 0, 0, 57093564168953472, 0, 0, -169851389189035968, 0, 0, 105777646518034432, 0, 0, -182975426438243476, 0, 0, 98886639286548480, 0, 0, 232872144637323902, 0, 0, 168886474511745024], 'weight': 12, 'weight_parity': 1}
• 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: 47387358
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 109, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539733541355682, 'source_is_minimal': False, 'source_label': '162.12.c.l.109.1', 'source_level': 162, 'target_conrey_index': 109, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539733541355682, 'target_is_minimal': False, 'target_label': '162.12.c.l.109.1', 'target_level': 162, 'twist_class_label': '54.12.a.d.1.1', 'twist_class_level': 54, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 12}
  • id: 47387359
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 109, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539733541355682, 'source_is_minimal': False, 'source_label': '162.12.c.l.109.1', 'source_level': 162, 'target_conrey_index': 109, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 72057731678208162, 'target_is_minimal': False, 'target_label': '162.12.c.q.109.2', 'target_level': 162, 'twist_class_label': '54.12.a.d.1.1', 'twist_class_level': 54, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 12}
  • id: 47387360
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 109, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539733541355682, 'source_is_minimal': False, 'source_label': '162.12.c.l.109.1', 'source_level': 162, 'target_conrey_index': 55, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 72057731678208162, 'target_is_minimal': False, 'target_label': '162.12.c.q.55.2', 'target_level': 162, 'twist_class_label': '54.12.a.d.1.1', 'twist_class_level': 54, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 12}
  • id: 47387361
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 109, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539733541355682, 'source_is_minimal': False, 'source_label': '162.12.c.l.109.1', 'source_level': 162, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021597965549622, 'target_is_minimal': True, 'target_label': '54.12.a.g.1.2', 'target_level': 54, 'twist_class_label': '54.12.a.d.1.1', 'twist_class_level': 54, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 12}
  • id: 47387362
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 109, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539733541355682, 'source_is_minimal': False, 'source_label': '162.12.c.l.109.1', 'source_level': 162, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510799083438134, 'target_is_minimal': True, 'target_label': '54.12.a.d.1.1', 'target_level': 54, 'twist_class_label': '54.12.a.d.1.1', 'twist_class_level': 54, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 12}
  • id: 47387363
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 109, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539733541355682, 'source_is_minimal': False, 'source_label': '162.12.c.l.109.1', 'source_level': 162, 'target_conrey_index': 55, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539733541355682, 'target_is_minimal': False, 'target_label': '162.12.c.l.55.1', 'target_level': 162, 'twist_class_label': '54.12.a.d.1.1', 'twist_class_level': 54, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 12}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 427775
    {'charpoly_factorization': [[[1024, 32, 1], 2]], 'hecke_orbit_code': 49539733541355682, 'p': 2}
  • id: 427776
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 49539733541355682, 'p': 3}
  • id: 427777
    {'charpoly_factorization': [[[802294295040000, 105368256000, 42163200, -3720, 1], 1]], 'hecke_orbit_code': 49539733541355682, 'p': 5}
  • id: 427778
    {'charpoly_factorization': [[[6001737226534082929, 16644242357638, 2496002763, -6794, 1], 1]], 'hecke_orbit_code': 49539733541355682, 'p': 7}
  • id: 427779
    {'charpoly_factorization': [[[38432628494715618201600, 163231188119585280, 889318462464, -832632, 1], 1]], 'hecke_orbit_code': 49539733541355682, 'p': 11}
  • id: 427780
    {'charpoly_factorization': [[[9371866565806549253283025, -3014309737070186870, 4030854562011, 984634, 1], 1]], 'hecke_orbit_code': 49539733541355682, 'p': 13}
  • id: 427781
    {'charpoly_factorization': [[[-16856880103872, 5111064, 1], 2]], 'hecke_orbit_code': 49539733541355682, 'p': 17}
  • id: 427782
    {'charpoly_factorization': [[[102225689174569, 22919270, 1], 2]], 'hecke_orbit_code': 49539733541355682, 'p': 19}
  • id: 427783
    {'charpoly_factorization': [[[3687920307583674301822807904256, -10108303257302110250496, 1948101947108352, 5263656, 1], 1]], 'hecke_orbit_code': 49539733541355682, 'p': 23}
  • id: 427784
    {'charpoly_factorization': [[[3189085055980188175870086610944, 67029767457790412980224, 3194665770811392, -37534848, 1], 1]], 'hecke_orbit_code': 49539733541355682, 'p': 29}
  • id: 427785
    {'charpoly_factorization': [[[232912770054559268034196900000000, -5018882358128161372400000, 92887077642740400, -328859480, 1], 1]], 'hecke_orbit_code': 49539733541355682, 'p': 31}
  • id: 427786
    {'charpoly_factorization': [[[-20953618871069975, 96567386, 1], 2]], 'hecke_orbit_code': 49539733541355682, 'p': 37}
  • id: 427787
    {'charpoly_factorization': [[[2888270004698911889056399255142400, 25724086622161828482908160, 282851620533633024, -478653312, 1], 1]], 'hecke_orbit_code': 49539733541355682, 'p': 41}
  • id: 427788
    {'charpoly_factorization': [[[12783193123069586601569386172416, 478058069763170378607616, 14302765332472512, 133709104, 1], 1]], 'hecke_orbit_code': 49539733541355682, 'p': 43}
  • id: 427789
    {'charpoly_factorization': [[[23788104277440301275770758419284496384, -21614817085357572920732069376, 14762776935980731392, -4431713208, 1], 1]], 'hecke_orbit_code': 49539733541355682, 'p': 47}
  • id: 427790
    {'charpoly_factorization': [[[5069975646816518400, 4754972016, 1], 2]], 'hecke_orbit_code': 49539733541355682, 'p': 53}
  • id: 427791
    {'charpoly_factorization': [[[290873572148281186879546561574223089664, -169536032450751693578920828416, 81759276666827891712, -9940537848, 1], 1]], 'hecke_orbit_code': 49539733541355682, 'p': 59}
  • id: 427792
    {'charpoly_factorization': [[[2883381854539775141920802961055732970881, -325350083657667766979780129090, 90408424077404859459, 6058984510, 1], 1]], 'hecke_orbit_code': 49539733541355682, 'p': 61}
  • id: 427793
    {'charpoly_factorization': [[[1685755954355614804534823889217175914561, 278055361620778612689143781730, 86921527238218974819, -6772264670, 1], 1]], 'hecke_orbit_code': 49539733541355682, 'p': 67}
  • id: 427794
    {'charpoly_factorization': [[[-116037384123628852992, 25581365424, 1], 2]], 'hecke_orbit_code': 49539733541355682, 'p': 71}
  • id: 427795
    {'charpoly_factorization': [[[-166898458236567877295, -15807624466, 1], 2]], 'hecke_orbit_code': 49539733541355682, 'p': 73}
  • id: 427796
    {'charpoly_factorization': [[[28514174960550326824501856564492730090289, 4751594836061009614107292393882, 960665958001984101483, -28139021846, 1], 1]], 'hecke_orbit_code': 49539733541355682, 'p': 79}
  • id: 427797
    {'charpoly_factorization': [[[1586487595514043219247056578205951973195776, 97247304958812363650486917140480, 4701432534985641037824, 77207454480, 1], 1]], 'hecke_orbit_code': 49539733541355682, 'p': 83}
  • id: 427798
    {'charpoly_factorization': [[[-288326578631300217792, -38295584136, 1], 2]], 'hecke_orbit_code': 49539733541355682, 'p': 89}
  • id: 427799
    {'charpoly_factorization': [[[4349726861068434055547365853726643878031025, 227936464110189687510406294679770, 9858835559013409401771, 109290600874, 1], 1]], 'hecke_orbit_code': 49539733541355682, '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': 3, 'hecke_orbit': 12, 'label': '162.12.c.l', 'level': 162, 'portrait': 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', 'weight': 12}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 56857501
    {'hecke_orbit_code': 49539733541355682, 'n': 1, 'trace_an': 4}
  • id: 56857502
    {'hecke_orbit_code': 49539733541355682, 'n': 2, 'trace_an': -64}
  • id: 56857503
    {'hecke_orbit_code': 49539733541355682, 'n': 3, 'trace_an': 0}
  • id: 56857504
    {'hecke_orbit_code': 49539733541355682, 'n': 4, 'trace_an': -2048}
  • id: 56857505
    {'hecke_orbit_code': 49539733541355682, 'n': 5, 'trace_an': 3720}
  • id: 56857506
    {'hecke_orbit_code': 49539733541355682, 'n': 6, 'trace_an': 0}
  • id: 56857507
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