Newform data - 8.22.a.b

Formats: - HTML - YAML - JSON - 2025-04-27T14:22:17.762573

• 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': 3872, 'analytic_conductor': 22.358187542964966, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -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': [8, 1, [7, 5], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 6878154568, 'field_disc_factorization': [[2, 3], [859769321, 1]], 'field_poly': [96223, -4963, -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': [[3, [-156439878638400, -20431242576, -96764, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599996469256, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 220200960, 'hecke_ring_index_factorization': [[2, 21], [3, 1], [5, 1], [7, 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': '8.22.a.b', 'level': 8, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '8.22.a.b', 'prim_orbit_index': 1, 'qexp_display': 'q+(32255-\\beta _{1})q^{3}+(-8037261+9\\beta _{1}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '21.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '8.22.a', 'trace_display': [0, 96764, -24111774, 295988280], 'trace_hash': 1362000828246730728, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.060', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.869', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.515', 'prec': 17}, {'__RealLiteral__': 0, 'data': '21.256', 'prec': 20}, {'__RealLiteral__': 0, 'data': '6.492', 'prec': 17}, {'__RealLiteral__': 0, 'data': '227.408', 'prec': 24}], 'trace_zratio': 0, 'traces': [3, 0, 96764, 0, -24111774, 0, 295988280, 0, 18844697239, 0, -40335108684, 0, 133734425946, 0, -1223136458200, 0, 7797732274422, 0, 35788199781996, 0, 198539224853088, 0, 193770761479080, 0, 1127564438439501, 0, 5282002293508952, 0, 5607343422466122, 0, 11246757871503072, 0, 10014149026970384, 0, 5274251425350096, 0, -24272499791100606, 0, -52925308377862264, 0, -298159108991869602, 0, -33333932139754860, 0, -927411477977893478, 0, -120874283547603888, 0, -850403331975639477, 0, 3954388789815661240, 0, -1138443393004854222, 0, 6957552484263571704, 0, 681697547133656944, 0, 9225624498709937412, 0, -6554902294063924182, 0, 21785214559631141976, 0, -20714581819561144452, 0, -15793054074531629124, 0, -72988310309689939168, 0, -41139582493467997704, 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1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
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[-7611986981623857533218348519265, 20806594447057552447774749, 123695512535526102400373], [-1352282834545617052218711103734, 5942813082347000277964152, -158906069111221198448968], [1174912272413871764885980991755, 22614117999354946032879339, 138463450189113589154152], [6451414720113658245623772658974, -45493084395385384288900626, 18091887456436037106908], [-1443318573772930874918713784627, 46149615007694989151092173, -109667929767836448141120], [6882069573964474005623740823860, 26000179418064245264005716, -308362568088819854994600], [-3653062580712590080369396473674, -137732857805442185667239418, -342533785408537668025284], [-14945279786719564996727610919312, 40305447808699870365357078, 208469453948715164398374], [1613016248972044486050591631176, 74111118089605966956142854, -204210986320842514436202], [-8055625874182926998496554236201, 9149677674125149053846837, -356639260339006583775539], [3280669527116355640207237410731, -98195145433649768248853301, -387495546964156169062952], [11123078900112872437371674586246, 34457683617474947967433788, -445742766631629882167076], [-18548179776540431324162923328814, 128864620164191086186975746, -543472582741866210222556], [27712126065132040796602342567837, -56460359040814285057379043, 479814466213237019978144], [-8170719964520996386273619273800, -180582036697062136915778034, -81667872929007352086434], [8565226006495594563321002292054, 112247663259696745793841126, -904152364983914479157844], [8321845039037890948164475281272, 181768250969791101979229880, -629419873631196712782736], [7969775091660831058120016846143, 304448718929040180724043205, -182756063615290457461155]], 'char_orbit_index': 1, 'field_poly': [96223, -4963, -1, 1], 'hecke_orbit_code': 4503599996469256, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1], 'hecke_ring_inverse_denominators': [1, 573440, 57344], 'hecke_ring_inverse_numerators': [[1, 0, 0], [191193, -139, 1], [189750951, 1035, -1]], 'hecke_ring_numerators': [[1, 0, 0], [-211989, 640, 64], [-29657664, 662400, 8896]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 3, 'label': '8.22.a.b', 'level': 8, 'maxp': 997, 'weight': 22}
• 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': [2, 3], 'Nk2': 3872, 'analytic_conductor': 22.358187542964966, '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': [8, 1, [7, 5], [1, 1]], 'conrey_index': 1, 'cusp_dim': 19, 'dim': 5, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 369098760, 'hecke_orbit_dims': [2, 3], 'label': '8.22.a', 'level': 8, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 23, 'mf_new_dim': 5, 'num_forms': 2, 'plus_dim': 2, 'prim_orbit_index': 1, 'relative_dim': 5, 'sturm_bound': 22, 'trace_bound': 1, 'trace_display': [0, -8668, -22003634, 740760072], 'traces': [5, 0, -8668, 0, -22003634, 0, 740760072, 0, 29917044817, 0, 13471294636, 0, -356632250986, 0, -1862971179880, 0, 1203867602330, 0, 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124811857449818734010965854751520, 0, 62466441137356180214312425657452, 0, -11200274085993250304796154078752, 0, -92393095810265340806400454249400, 0, -26707292284826519521548673267878, 0, -16079085484772037969074248383240, 0, 140829547658986756396203810100318, 0, 55500013039141254140999240885976, 0, 101564178534716016305878325748852, 0, -62227413199706173618579902872064, 0, -92217083268727010427842416585568, 0, 8084352293943315861878541277664, 0, -47099089347084553789835070464144, 0, 39270037646054353923785728368688, 0, 35493024228825736234458606015278, 0, 69961810054462076769335806386672, 0], 'weight': 22, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 4778
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '8.22.a.b', 'source_level': 8, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '8.22.a.b', 'target_level': 8, 'twist_class_label': '8.22.a.b', 'twist_class_level': 8, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 22}
  • id: 4779
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '8.22.a.b', 'source_level': 8, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '16.22.a.f', 'target_level': 16, 'twist_class_label': '8.22.a.b', 'twist_class_level': 8, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 22}
  • id: 4780
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '8.22.a.b', 'source_level': 8, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '64.22.a.l', 'target_level': 64, 'twist_class_label': '8.22.a.b', 'twist_class_level': 8, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 22}
  • id: 4781
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '8.22.a.b', 'source_level': 8, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '64.22.a.m', 'target_level': 64, 'twist_class_label': '8.22.a.b', 'twist_class_level': 8, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 22}
  • id: 4782
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '8.22.a.b', 'source_level': 8, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '72.22.a.f', 'target_level': 72, 'twist_class_label': '8.22.a.b', 'twist_class_level': 8, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 22}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 33875
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 4503599996469256, 'p': 2}
  • id: 33876
    {'charpoly_factorization': [[[-156439878638400, -20431242576, -96764, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 3}
  • id: 33877
    {'charpoly_factorization': [[[-22232142716343413695000, -988349133810900, 24111774, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 5}
  • id: 33878
    {'charpoly_factorization': [[[35553267238349450938553856, -368812599188427072, -295988280, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 7}
  • id: 33879
    {'charpoly_factorization': [[[-59524752563419325669726498167744, -10441954462928913022416, 40335108684, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 11}
  • id: 33880
    {'charpoly_factorization': [[[-6472174164833194012324148941520248, -115098792875405225576820, -133734425946, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 13}
  • id: 33881
    {'charpoly_factorization': [[[1324949703836841726808989570114822854200, -175713729547804795693822260, -7797732274422, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 17}
  • id: 33882
    {'charpoly_factorization': [[[-1425738420978845579396279176799065664, 304370510333927276928827184, -35788199781996, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 19}
  • id: 33883
    {'charpoly_factorization': [[[13187283552587307446366891509614797597479424, -86213799465445083704509369152, -193770761479080, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 23}
  • id: 33884
    {'charpoly_factorization': [[[-4539413024449715535736469217571334882219174712, 9071478183922886643161316725196, -5607343422466122, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 29}
  • id: 33885
    {'charpoly_factorization': [[[-23815531358787205788296262423516721428441497600, 34730306601643932286077451791360, -11246757871503072, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 31}
  • id: 33886
    {'charpoly_factorization': [[[-15491175144651199711548946573428922329512373624216, -830562241962896743358222496702036, 24272499791100606, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 37}
  • id: 33887
    {'charpoly_factorization': [[[682682244791993949461002798777716495182684271456024, 25705697452807969271020275554023980, 298159108991869602, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 41}
  • id: 33888
    {'charpoly_factorization': [[[887175698016699726736323863486739096590140393260608, -29470189182790362000487752607385808, 33333932139754860, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 43}
  • id: 33889
    {'charpoly_factorization': [[[-79030407514911718236255332842532460026835279168958464, -398972777779486261277132360967965952, 120874283547603888, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 47}
  • id: 33890
    {'charpoly_factorization': [[[-284423045491652872720017065853366511462763865514745176, -125978547888349244673772890448241172, 1138443393004854222, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 53}
  • id: 33891
    {'charpoly_factorization': [[[109852800450935440695562440827015787836603720112856705856, -1317596243250574505275979197278526800, -9225624498709937412, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 59}
  • id: 33892
    {'charpoly_factorization': [[[-142616542823560215737805842663275350499304657022004886200, -20127818242176427305938006561503407540, 6554902294063924182, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 61}
  • id: 33893
    {'charpoly_factorization': [[[-427642881117395197918929380929951975527066981752809379648, -60879887424609609214563462223790821200, 15793054074531629124, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 67}
  • id: 33894
    {'charpoly_factorization': [[[-34075829930628978583795667062317168738876519270969338124800, -909655798496155836384343412609489253696, 41139582493467997704, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 71}
  • id: 33895
    {'charpoly_factorization': [[[-2849523567747148932946034203357249953114615850835374948456, -249864080979506983216201233138279364692, 19422167949903851970, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 73}
  • id: 33896
    {'charpoly_factorization': [[[-476496014476853269504318106035757821809474314313337231052800, -2435514001940510088143039378560898014464, 131735321299806049488, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 79}
  • id: 33897
    {'charpoly_factorization': [[[-449639703892492830399135106687059395442514068388941577318976, -29225919704070059779421947421151234601680, -64013993832679681068, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 83}
  • id: 33898
    {'charpoly_factorization': [[[24024093868397735630376515464697869841866586435027748444553176, -47460975537980818038183538970702222924436, -429891446897537246766, 1], 1]], 'hecke_orbit_code': 4503599996469256, 'p': 89}
  • id: 33899
    {'charpoly_factorization': [[[102498063074430008141891262750313561678664841774661971873389944, -538933405515470239165130834825978888202612, 324059336514148638042, 1], 1]], 'hecke_orbit_code': 4503599996469256, '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': 2, 'label': '8.22.a.b', 'level': 8, 'portrait': 'data:image/png;base64,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', 'weight': 22}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 20004096
    {'hecke_orbit_code': 4503599996469256, 'n': 1, 'trace_an': 3}
  • id: 20004097
    {'hecke_orbit_code': 4503599996469256, 'n': 2, 'trace_an': 0}
  • id: 20004098
    {'hecke_orbit_code': 4503599996469256, 'n': 3, 'trace_an': 96764}
  • id: 20004099
    {'hecke_orbit_code': 4503599996469256, 'n': 4, 'trace_an': 0}
  • id: 20004100
    {'hecke_orbit_code': 4503599996469256, 'n': 5, 'trace_an': -24111774}
  • id: 20004101
    {'hecke_orbit_code': 4503599996469256, 'n': 6, 'trace_an': 0}
  • id: 20004102
    {'hecke_orbit_code': 4503599996469256, 'n': 7, 'trace_an': 295988280}
  • id: 20004103
    {'hecke_orbit_code': 4503599996469256, 'n': 8, 'trace_an': 0}
  • id: 20004104
    {'hecke_orbit_code': 4503599996469256, 'n': 9, 'trace_an': 18844697239}
  • id: 20004105
    {'hecke_orbit_code': 4503599996469256, 'n': 10, 'trace_an': 0}
  • id: 20004106
    {'hecke_orbit_code': 4503599996469256, 'n': 11, 'trace_an': -40335108684}
  • id: 20004107
    {'hecke_orbit_code': 4503599996469256, 'n': 12, 'trace_an': 0}
  • id: 20004108
    {'hecke_orbit_code': 4503599996469256, 'n': 13, 'trace_an': 133734425946}
  • id: 20004109
    {'hecke_orbit_code': 4503599996469256, 'n': 14, 'trace_an': 0}
  • id: 20004110
    {'hecke_orbit_code': 4503599996469256, 'n': 15, 'trace_an': -1223136458200}
  • id: 20004111
    {'hecke_orbit_code': 4503599996469256, 'n': 16, 'trace_an': 0}
  • id: 20004112
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