Embedded newform data - 10.26.a.c.1.1

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• 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': 6760, 'analytic_conductor': 39.599677995224326, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [5, 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': [10, 1, [7], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 593549884, 'field_disc_factorization': [[2, 2], [193, 1], [349, 1], [2203, 1]], 'field_poly': [-148387471, 0, 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': [[3, [-875365783164, -545212, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199690948618, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 80, 'hecke_ring_index_factorization': [[2, 4], [5, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '10.26.a.c', 'level': 10, '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': True, 'level_primes': [2, 5], 'level_radical': 10, 'minimal_twist': '10.26.a.c', 'prim_orbit_index': 1, 'qexp_display': 'q-2^{12}q^{2}+(272606+\\beta )q^{3}+2^{24}q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '25.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '10.26.a', 'trace_display': [-8192, 545212, -488281250, 38567856964], 'trace_hash': 283150526307560565, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.005', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.004', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.697', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '64.306', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, -8192, 545212, 33554432, -488281250, -2233188352, 38567856964, -137438953472, 353410472386, 2000000000000, -8379169876416, 9147139489792, -149443737196988, -157973942124544, -133108398437500, 562949953421312, 3359254299255924, -1447569294893056, 3489461415860920, -8192000000000000, 49482990719617784, 34321079813799936, 72370201928022732, -37466683350188032, 119209289550781250, 612121547558862848, 669943559840926600, 647061266942132224, -537443787959856180, 545212000000000000, -3624027784441312136, -2305843009213693952, -23489760709118906496, -13759505609752264704, -9415980704101562500, 5929243831881957376, 19038572664443645764, -14292833959366328320, -178451546772299045128, 33554432000000000000, -212589580623880771956, -202682329987554443264, -13668418927657846868, 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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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[-0.05081233942431579, 0.0], [-0.22195167560157386, 0.0], [0.1281208849909959, 0.0], [-0.3128620768019217, 0.0], [0.02446327153912007, 0.0], [-0.23038595100102618, 0.0], [-0.2611594274304394, 0.0], [-0.7218612388704528, 0.0], [-1.3417003942720354, 0.0], [0.5564795573942947, 0.0], [0.16879492078814362, 0.0], [0.0017141535288326616, 0.0], [-0.009948080407051392, 0.0], [-1.0732504942955958, 0.0], [-0.03372265450101535, 0.0], [-0.041852578226195584, 0.0], [-0.7614031343692098, 0.0], [0.3724244562968583, 0.0], [-0.0075927319771064775, 0.0], [-0.5840361930445911, 0.0], [0.7376277421012747, 0.0], [0.053112686467752135, 0.0], [-0.38397668329878876, 0.0], [-0.7537905868367877, 0.0], [0.49698648086250363, 0.0], [0.0002967757782167526, 0.0], [0.5225823954369831, 0.0], [-0.26164062674935756, 0.0], [-0.9766112318742278, 0.0], [-0.003448356385118194, 0.0], [0.5198800950514391, 0.0], [0.8675548533983266, 0.0], [0.02274635716767601, 0.0], [-0.6547082852707413, 0.0], [0.13220460920108482, 0.0], [-0.04262558075184197, 0.0], [-0.20138675133907372, 0.0], [1.1265278087729065, 0.0], [-0.04089943925495741, 0.0], [0.004752670657919516, 0.0], [-0.23209334163719902, 0.0], [0.9946138622948366, 0.0], [0.4206776795726199, 0.0], [-0.08162891944618844, 0.0], [1.1789828888591407, 0.0], [0.01761034839176125, 0.0], [-1.3719445834935198, 0.0], [-0.32063391454220974, 0.0], [0.06575276041156987, 0.0], [0.6935976255269678, 0.0], [-0.24604987567476674, 0.0], [-0.007160625716380703, 0.0], [0.29528761343774335, 0.0], [0.010215595160076548, 0.0], [-1.1378879321058668, 0.0], [0.2185951938009686, 0.0], [0.2059787390083542, 0.0], [0.6316281454156906, 0.0], [0.22090508470874276, 0.0], [-0.037250230957109706, 0.0], [0.009381497452378379, 0.0], [0.2333516740706988, 0.0], [1.210764989649631, 0.0], [-0.1824965488263129, 0.0], [0.026615664097705494, 0.0], [-0.19409526392920926, 0.0], [-0.8794797621128735, 0.0], [0.005869080656965558, 0.0], [-0.04459047943535869, 0.0], [-0.26324583567581544, 0.0], [0.34804752403805855, 0.0], [0.6190548678890194, 0.0], [-0.22632475082542527, 0.0], [0.1765402825819825, 0.0], [-0.005474254871978969, 0.0], [0.042627537231599344, 0.0], [-0.994666584329644, 0.0], [-0.03970922751152887, 0.0], [0.5996904726219238, 0.0], [0.23286569444543131, 0.0], [-0.056218291622733015, 0.0], [0.002819065978426518, 0.0], [-0.33449219824549, 0.0], [0.20748690784685458, 0.0], [-0.8958298750385192, 0.0], [-0.21145817569126432, 0.0], [1.2222115931089554, 0.0], [-0.38592967538069994, 0.0], [-0.015598415515093217, 0.0], [0.13188322553054246, 0.0], [0.007380214387206434, 0.0], [0.3811210786607277, 0.0], [1.1948768014443054, 0.0], [0.06091838924077927, 0.0], [-0.46827802146912306, 0.0], [0.2235226980578415, 0.0], [-0.5993234593198146, 0.0], [0.38303234133545194, 0.0], [1.3812717567474997, 0.0], [-0.22091522407385897, 0.0], [0.10703749498583229, 0.0], [-0.2794887996391328, 0.0], [-0.014456912094159155, 0.0], [-0.03320807456132513, 0.0], [0.1384134969010345, 0.0], [-0.08506873982544738, 0.0], [-0.035954711561810376, 0.0], [0.012910044140072678, 0.0], [1.0550454474718698, 0.0], [0.01158999656442733, 0.0], [-0.8400841470447862, 0.0], [0.5793075225719608, 0.0], [-1.6548062354470099, 0.0], [-0.1483433572073297, 0.0], [-1.2552642232926425, 0.0], [0.03162277660168379, 0.0]], 'angles': [None, -0.312256980928202, None, -0.2515433045762575, -0.19792679294335633, -0.2538512904409453, -0.17961148597025953, -0.12963209147515106, -0.2715186209879971, -0.21291952240977424, -0.2558128539444136, -0.34851932554507464, -0.3171848624734621, -0.29131978318166135, -0.3312814628317507, -0.3233552533573314, -0.26186811272551497, -0.11204927157391345, -0.18925508029178517, -0.1805614768210051, -0.29433901909086246, -0.21153680868130464, -0.3873278796518977, -0.3093411051585272, -0.30425749000604346, -0.351173548629524, -0.33380619282566915, -0.3771129853381242, -0.12298700723034311, -0.09531911421373962, -0.3586181597934798, -0.34973646064083463, -0.22746212714785619, 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'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': -12181.43961114613, 'hecke_orbit': 3, 'hecke_orbit_code': 9007199690948618, 'label': '10.26.a.c.1.1', 'level': 10, 'weight': 26}
• 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

  
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14027482295242300751922787867046289504, 39764004202194481111768871124116439040, 63204045748317941354409370614585878832, -15526648660627138247505756000000000000, -12359853170756433614845741136597415136, 5426565534892490633543640393824862208, 109180091076929730636271805658688484912, 64420979676244242059389754937398525952, -48158641250172472511633253095703125000, 56796980718508616670430565208667717632, -62515752991444849919414024511818147878, -80887016020849877459434072282170736640, -53065414759180069765790109450147805360, -1000000000000000000000000000000000000], 'weight': 26, '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: 40540406
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199690948618, 'source_is_minimal': True, 'source_label': '10.26.a.c.1.1', 'source_level': 10, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199690948618, 'target_is_minimal': True, 'target_label': '10.26.a.c.1.1', 'target_level': 10, 'twist_class_label': '10.26.a.c.1.1', 'twist_class_level': 10, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 26}
  • id: 40540407
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199690948618, 'source_is_minimal': True, 'source_label': '10.26.a.c.1.1', 'source_level': 10, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268410425394, 'target_is_minimal': False, 'target_label': '50.26.b.c.49.2', 'target_level': 50, 'twist_class_label': '10.26.a.c.1.1', 'twist_class_level': 10, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 26}
  • id: 40540408
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199690948618, 'source_is_minimal': True, 'source_label': '10.26.a.c.1.1', 'source_level': 10, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007268410425394, 'target_is_minimal': False, 'target_label': '50.26.b.c.49.3', 'target_level': 50, 'twist_class_label': '10.26.a.c.1.1', 'twist_class_level': 10, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 26}
  • id: 40540409
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199690948618, 'source_is_minimal': True, 'source_label': '10.26.a.c.1.1', 'source_level': 10, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014398945689650, 'target_is_minimal': False, 'target_label': '50.26.a.e.1.2', 'target_level': 50, 'twist_class_label': '10.26.a.c.1.1', 'twist_class_level': 10, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 26}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 45425
    {'charpoly_factorization': [[[4096, 1], 2]], 'hecke_orbit_code': 9007199690948618, 'p': 2}
  • id: 45426
    {'charpoly_factorization': [[[-875365783164, -545212, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 3}
  • id: 45427
    {'charpoly_factorization': [[[244140625, 1], 2]], 'hecke_orbit_code': 9007199690948618, 'p': 5}
  • id: 45428
    {'charpoly_factorization': [[[-27895245590812337276, -38567856964, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 7}
  • id: 45429
    {'charpoly_factorization': [[[-100822879436474645945358336, 8379169876416, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 11}
  • id: 45430
    {'charpoly_factorization': [[[590971318426758972691554436, 149443737196988, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 13}
  • id: 45431
    {'charpoly_factorization': [[[2679316957271155105116655895844, -3359254299255924, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 17}
  • id: 45432
    {'charpoly_factorization': [[[-129119538397588172626681245878000, -3489461415860920, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 19}
  • id: 45433
    {'charpoly_factorization': [[[-2853271748487637505326609021092444, -72370201928022732, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 23}
  • id: 45434
    {'charpoly_factorization': [[[-1246937865462613518584349951096702300, 537443787959856180, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 29}
  • id: 45435
    {'charpoly_factorization': [[[1058111291815270745245521050315678224, 3624027784441312136, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 31}
  • id: 45436
    {'charpoly_factorization': [[[-3043962485126543350278806386590590647676, -19038572664443645764, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 37}
  • id: 45437
    {'charpoly_factorization': [[[11152363541079104034442471730419922274084, 212589580623880771956, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 41}
  • id: 45438
    {'charpoly_factorization': [[[-16260670589937082493608078184268676489244, 13668418927657846868, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 43}
  • id: 45439
    {'charpoly_factorization': [[[690694287809600818934565125853309734360484, 1665681645557377854156, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 47}
  • id: 45440
    {'charpoly_factorization': [[[21615364060646383401357497681056834706221476, 9975823013097020329548, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 53}
  • id: 45441
    {'charpoly_factorization': [[[22625637261862828226199408404405066851750800, 13147506706206800097960, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 59}
  • id: 45442
    {'charpoly_factorization': [[[-995214599224862915773628947126137734289528956, -114411778307375747524, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 61}
  • id: 45443
    {'charpoly_factorization': [[[2257649947310891338402450811261176870775153284, -95143040936399031080644, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 67}
  • id: 45444
    {'charpoly_factorization': [[[-3869606855334072788358422394967252116725375856, -83749259495165337742824, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 71}
  • id: 45445
    {'charpoly_factorization': [[[-32744205849254216889716036608712148478367543804, -196631633422897936973572, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 73}
  • id: 45446
    {'charpoly_factorization': [[[-36584183910086450220768062147481627960737163200, -105871595026057220692240, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 79}
  • id: 45447
    {'charpoly_factorization': [[[-1302903664401917034803985487336740128087014508124, 599053017838528107773748, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 83}
  • id: 45448
    {'charpoly_factorization': [[[305175769564815213934985752232519455803846200100, 1877353952181279423739020, 1], 1]], 'hecke_orbit_code': 9007199690948618, 'p': 89}
  • id: 45449
    {'charpoly_factorization': [[[32114912910987140842551252848416859825468770302724, 11597588153054877446451836, 1], 1]], 'hecke_orbit_code': 9007199690948618, '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': '10.26.a.c', 'level': 10, 'portrait': 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', 'weight': 26}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29432101
    {'hecke_orbit_code': 9007199690948618, 'n': 1, 'trace_an': 2}
  • id: 29432102
    {'hecke_orbit_code': 9007199690948618, 'n': 2, 'trace_an': -8192}
  • id: 29432103
    {'hecke_orbit_code': 9007199690948618, 'n': 3, 'trace_an': 545212}
  • id: 29432104
    {'hecke_orbit_code': 9007199690948618, 'n': 4, 'trace_an': 33554432}
  • id: 29432105
    {'hecke_orbit_code': 9007199690948618, 'n': 5, 'trace_an': -488281250}
  • id: 29432106
    {'hecke_orbit_code': 9007199690948618, 'n': 6, 'trace_an': -2233188352}
  • id: 29432107
    {'hecke_orbit_code': 9007199690948618, 'n': 7, 'trace_an': 38567856964}
  • id: 29432108
    {'hecke_orbit_code': 9007199690948618, 'n': 8, 'trace_an': -137438953472}
  • id: 29432109
    {'hecke_orbit_code': 9007199690948618, 'n': 9, 'trace_an': 353410472386}
  • id: 29432110
    {'hecke_orbit_code': 9007199690948618, 'n': 10, 'trace_an': 2000000000000}
  • id: 29432111
    {'hecke_orbit_code': 9007199690948618, 'n': 11, 'trace_an': -8379169876416}
  • id: 29432112
    {'hecke_orbit_code': 9007199690948618, 'n': 12, 'trace_an': 9147139489792}
  • id: 29432113
    {'hecke_orbit_code': 9007199690948618, 'n': 13, 'trace_an': -149443737196988}
  • id: 29432114
    {'hecke_orbit_code': 9007199690948618, 'n': 14, 'trace_an': -157973942124544}
  • id: 29432115
    {'hecke_orbit_code': 9007199690948618, 'n': 15, 'trace_an': -133108398437500}
  • id: 29432116
    {'hecke_orbit_code': 9007199690948618, 'n': 16, 'trace_an': 562949953421312}
  • id: 29432117
    {'hecke_orbit_code': 9007199690948618, 'n': 17, 'trace_an': 3359254299255924}
  • id: 29432118
    {'hecke_orbit_code': 9007199690948618, 'n': 18, 'trace_an': -1447569294893056}
  • id: 29432119
    {'hecke_orbit_code': 9007199690948618, 'n': 19, 'trace_an': 3489461415860920}
  • id: 29432120
    {'hecke_orbit_code': 9007199690948618, 'n': 20, 'trace_an': -8192000000000000}
  • id: 29432121
    {'hecke_orbit_code': 9007199690948618, 'n': 21, 'trace_an': 49482990719617784}
  • id: 29432122
    {'hecke_orbit_code': 9007199690948618, 'n': 22, 'trace_an': 34321079813799936}
  • id: 29432123
    {'hecke_orbit_code': 9007199690948618, 'n': 23, 'trace_an': 72370201928022732}
  • id: 29432124
    {'hecke_orbit_code': 9007199690948618, 'n': 24, 'trace_an': -37466683350188032}
  • id: 29432125
    {'hecke_orbit_code': 9007199690948618, 'n': 25, 'trace_an': 119209289550781250}
  • id: 29432126
    {'hecke_orbit_code': 9007199690948618, 'n': 26, 'trace_an': 612121547558862848}
  • id: 29432127
    {'hecke_orbit_code': 9007199690948618, 'n': 27, 'trace_an': 669943559840926600}
  • id: 29432128
    {'hecke_orbit_code': 9007199690948618, 'n': 28, 'trace_an': 647061266942132224}
  • id: 29432129
    {'hecke_orbit_code': 9007199690948618, 'n': 29, 'trace_an': -537443787959856180}
  • id: 29432130
    {'hecke_orbit_code': 9007199690948618, 'n': 30, 'trace_an': 545212000000000000}
  • id: 29432131
    {'hecke_orbit_code': 9007199690948618, 'n': 31, 'trace_an': -3624027784441312136}
  • id: 29432132
    {'hecke_orbit_code': 9007199690948618, 'n': 32, 'trace_an': -2305843009213693952}
  • id: 29432133
    {'hecke_orbit_code': 9007199690948618, 'n': 33, 'trace_an': -23489760709118906496}
  • id: 29432134
    {'hecke_orbit_code': 9007199690948618, 'n': 34, 'trace_an': -13759505609752264704}
  • id: 29432135
    {'hecke_orbit_code': 9007199690948618, 'n': 35, 'trace_an': -9415980704101562500}
  • id: 29432136
    {'hecke_orbit_code': 9007199690948618, 'n': 36, 'trace_an': 5929243831881957376}
  • id: 29432137
    {'hecke_orbit_code': 9007199690948618, 'n': 37, 'trace_an': 19038572664443645764}
  • id: 29432138
    {'hecke_orbit_code': 9007199690948618, 'n': 38, 'trace_an': -14292833959366328320}
  • id: 29432139
    {'hecke_orbit_code': 9007199690948618, 'n': 39, 'trace_an': -178451546772299045128}
  • id: 29432140
    {'hecke_orbit_code': 9007199690948618, 'n': 40, 'trace_an': 33554432000000000000}
  • id: 29432141
    {'hecke_orbit_code': 9007199690948618, 'n': 41, 'trace_an': -212589580623880771956}
  • id: 29432142
    {'hecke_orbit_code': 9007199690948618, 'n': 42, 'trace_an': -202682329987554443264}
  • id: 29432143
    {'hecke_orbit_code': 9007199690948618, 'n': 43, 'trace_an': -13668418927657846868}
  • id: 29432144
    {'hecke_orbit_code': 9007199690948618, 'n': 44, 'trace_an': -140579142917324537856}
  • id: 29432145
    {'hecke_orbit_code': 9007199690948618, 'n': 45, 'trace_an': -86281853609863281250}
  • id: 29432146
    {'hecke_orbit_code': 9007199690948618, 'n': 46, 'trace_an': -296428347097181110272}
  • id: 29432147
    {'hecke_orbit_code': 9007199690948618, 'n': 47, 'trace_an': -1665681645557377854156}
  • id: 29432148
    {'hecke_orbit_code': 9007199690948618, 'n': 48, 'trace_an': 153463535002370179072}
  • id: 29432149
    {'hecke_orbit_code': 9007199690948618, 'n': 49, 'trace_an': -1138867157350741829766}
  • id: 29432150
    {'hecke_orbit_code': 9007199690948618, 'n': 50, 'trace_an': -488281250000000000000}
  • id: 29432151
    {'hecke_orbit_code': 9007199690948618, 'n': 51, 'trace_an': 181740691723390600344}
  • id: 29432152
    {'hecke_orbit_code': 9007199690948618, 'n': 52, 'trace_an': -2507249858801102225408}
  • id: 29432153
    {'hecke_orbit_code': 9007199690948618, 'n': 53, 'trace_an': -9975823013097020329548}
  • id: 29432154
    {'hecke_orbit_code': 9007199690948618, 'n': 54, 'trace_an': -2744088821108435353600}
  • id: 29432155
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