Embedded newform data - 825.6.a.s.1.5

Formats: - HTML - YAML - JSON - 2024-04-19T08:39:07.759538

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 29700, 'analytic_conductor': 132.31665134570903, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, -1], [11, 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': [825, 1, [551, 727, 376], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 9, 'field_disc': 531874713714170068280888542903345366528, 'field_disc_factorization': [[2, 9], [11, 1], [59, 1], [1153, 1], [18173387, 1], [1085769161, 1], [70354519517561, 1]], 'field_poly': [1190400, 2184608, 202288, -405504, -16568, 16434, 267, -229, -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, [1190400, 2184608, 202288, -405504, -16568, 16434, 267, -229, -1, 1]]], 'hecke_orbit': 19, 'hecke_orbit_code': 81064793393333049, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 400, 'hecke_ring_index_factorization': [[2, 4], [5, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '825.6.a.s', 'level': 825, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 11], 'level_radical': 165, 'minimal_twist': '825.6.a.r', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{2}-9q^{3}+(19+\\beta _{2})q^{4}-9\\beta _{1}q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 9, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '825.6.a', 'trace_display': [1, -81, 0, -57], 'trace_hash': 933505025586110962, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.149', 'prec': 17}, {'__RealLiteral__': 0, 'data': '8.106', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.721', 'prec': 17}, {'__RealLiteral__': 0, 'data': '190.761', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6964.977', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [9, 1, -81, 171, 0, -9, -57, -177, 729, 0, -1089, -1539, 723, 720, 0, 4147, -2804, 81, -1601, 0, 513, -121, -2392, 1593, 0, -1987, -6561, 4436, 5966, 0, 21575, -25493, 9801, -3098, 0, 13851, -10228, 12765, -6507, 0, 13304, -6480, -13829, -20691, 0, 81283, -13998, -37323, -19468, 0, 25236, 37131, -44166, -729, 0, 79160, 14409, -7635, 11626, 0, 49481, -94479, -4617, 109367, 0, 1089, 26567, -119506, 21528, 0, 78454, -14337, -100086, 162360, 0, 194115, 6897, 17883, -8478, 0, 59049, -52700, -157476, -39924, 0, 251663, -53694, 21417, -65548, 0, -106849, -350115, -194175, -35742, 0, 229437, 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0], 'weight': 6, '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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-0.10726383059095831, -0.17502718704409187, -0.26617207193174935, -0.3148697662861497, -0.17377455093536057, -0.2168769748226924, -0.4671485101062966, -0.28903775219549555, -0.27323969515935964, -0.21533869837704495, -0.25151025218039225, -0.28602875158898583, -0.18277472823011992, -0.24935268501632513, -0.14658673211487785, -0.06810319405817075, -0.25950069011296334, -0.3042818224791414, -0.16292724838253636, -0.1362128716236093, -0.14990302959236185, -0.2617342823083049, -0.1251128168218041, -0.31614562092405213, -0.28747358730600026, -0.26262695901709754, -0.36396364857451957, -0.1285629035111581], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 5, 'dual_embedding_m': 5, 'embedding_index': 5, 'embedding_m': 5, 'embedding_root_imag': 0.0, 'embedding_root_real': -0.6243052205147788, 'hecke_orbit': 19, 'hecke_orbit_code': 81064793393333049, 'label': '825.6.a.s.1.5', 'level': 825, 'weight': 6}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[3, -1], [5, -1], [11, -1]], 23, 2], [[[3, 1], [5, -1], [11, -1]], 20, 2], [[[3, 1], [5, -1], [11, 1]], 22, 2], [[[3, -1], [5, 1], [11, -1]], 16, 5], [[[3, 1], [5, 1], [11, 1]], 18, 4], [[[3, -1], [5, -1], [11, 1]], 21, 2], [[[3, -1], [5, 1], [11, 1]], 19, 4], [[[3, 1], [5, 1], [11, -1]], 21, 4]], 'ALdims': [18, 21, 22, 20, 19, 16, 21, 23], 'Nk2': 29700, 'analytic_conductor': 132.31665134570903, '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': [825, 1, [551, 727, 376], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 588, 'dim': 160, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 100664121, 'hecke_orbit_dims': [1, 1, 2, 2, 2, 3, 3, 3, 3, 3, 5, 5, 7, 7, 7, 8, 8, 9, 9, 10, 10, 13, 13, 13, 13], 'label': '825.6.a', 'level': 825, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 11], 'level_radical': 165, 'mf_dim': 612, 'mf_new_dim': 160, 'num_forms': 25, 'plus_dim': 75, 'prim_orbit_index': 1, 'relative_dim': 160, 'sturm_bound': 720, 'trace_bound': 4, 'trace_display': [-8, -18, 0, -36], 'traces': [160, -8, -18, 2644, 0, -180, -36, 108, 12960, 0, 0, -864, -544, -1508, 0, 45132, 2700, -648, -6856, 0, 2664, -968, 4896, -540, 0, -22324, -1458, 11240, 26148, 0, 18556, 16428, -2178, 46080, 0, 214164, 7872, 59320, -4896, 0, 32636, 13068, -50236, 4840, 0, 67416, -62360, -77040, 371972, 0, 23328, -33704, 94088, -14580, 0, -69732, 32220, -40704, -72608, 0, 56964, -156976, -2916, 865796, 0, 17424, -60648, 200344, 21096, 0, -60456, 8748, 162488, 179720, 0, 67192, 29524, -61740, -56420, 0, 1049760, 20568, 98992, 84240, 0, 202096, 95904, -161172, -454528, 0, 102588, -116724, -236376, -879944, 0, -491940, 380896, 233152, 0, 0, -834772, 96912, -206304, -554932, 0, -772448, -363040, -69984, -599148, 0, 665892, 692032, -280600, 722232, 0, -78160, 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0, 3765007888, -1412065312, -2010548736, 4786886920, 0, -2308687848, -650801512, 2098584776, 302330880, 0, 10874603752, 790928460, -370873432, 363423544, 0, 294743416, 828285604, 107781516, 2817453008, 0, 264814488, 2373230028, -3240374632, -318643632, 0, -91398216, 144858780, -420490368, 6151553376, 0, -4933732072, 3234894736, 2714544288, -7914305340, 0, -527072832, -698447368, 71682336, -3274626384, 0, -1717924672, -14735916, -1661723744, -92210308, 0, -1769403156, -3116598452, 1707809580, -3061018312, 0, 1267938504, -1140799344, 881612484, 396804744, 0, -7189027084, 3113704512, -1147775624, 9318197688, 0, 1908709496, 384203832, 541066716, 2917920864, 0, -2725990848, 389147360, 1095503272, 2542346496, 0, -1283262112, 94602816, -3604000176, 4062409496, 0, -1178780500, -1902542280, 459811728, -9223790120, 0, -882522216, 233204752, -2977347160, 2001329424, 0, 5233907136, -693846216, -945730016, -3643699472, 0, 14445071432, -753642620, 99238392, -1795731376, 0, 1473803712, -531170256, 481211976, -383830488, 0, -5411925408, -1249714296, 2885337360, -2185504904, 0, -3269700688, -1942287168, -146284704, 76188608, 0, -3985819632, 2257019080, 3578466044, -1479489696, 0, 1002898528, -187942032, 377830488, 978326664, 0, -3798711824, -1616488272, -2562097104, 3041907388, 0, 126903348, -1278213904, 2396586596, 1165051224, 0, 1589740260, -77681448, -2892202520, -5100021728, 0, 1060599452, -89180872, 601087086, -3799310880, 0, -4688566056, -2256753408, -412176612, -463043304, 0, -10773032112, -2263626576, -880807400, -4762662540, 0, 2120125360, 3801734400, 444001824, 2800103508, 0, 463576140, 3344064432, -612952976, -7906140, 0, 8007233536, 1331351640, 2427960576, -5416297208, 0, -1820373720, -6007404264, -2590851240, -3164017728, 0, 1405130004, -4657958568, 1156757936, -2720033136, 0, 4830919136, 1205356248, -2850459736, -3129760688, 0, 1150384752, 325469640, 1514096856, -4522599360, 0, 907857252, -1658064232, 2459612176, 2020371984, 0, -1347861088, 17245404, 3531275096, -166222536, 0, 3469320760, 248858908, -47842812, 4179547400, 0, 148760640, 14420600, 1396392272, 743138208, 0, 2260166672, -921881736, -255072736, 5193040920, 0, -4238104936, -2443073784, 1698684912, 561252208, 0, -815339520, 2083950264, -3835476280, 615342312, 0, 7288068848, 823509936, -3113771848, 4529130084, 0, 3824295412, 1960147848, -1317430728, -3550876080, 0, -5815936728, 1080190112, 4516782200, -699916464, 0, -94913852, -1371703392, 3949450600, -761434332, 0, 2886503440, -222010272, -1024569000, 3446102584, 0, -3149426916, 276956416, -2192357080, 4332297312, 0, -6347629008, 51648192, 2847994008, 4510550424, 0], 'weight': 6, '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: 48224186
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 9, 'source_embedding_index': 5, 'source_hecke_orbit_code': 81064793393333049, 'source_is_minimal': True, 'source_label': '825.6.a.s.1.5', 'source_level': 825, 'target_conrey_index': 1, 'target_dim': 9, 'target_embedding_index': 5, 'target_hecke_orbit_code': 81064793393333049, 'target_is_minimal': True, 'target_label': '825.6.a.s.1.5', 'target_level': 825, 'twist_class_label': '825.6.a.r.1.5', 'twist_class_level': 825, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 48224187
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 9, 'source_embedding_index': 5, 'source_hecke_orbit_code': 81064793393333049, 'source_is_minimal': True, 'source_label': '825.6.a.s.1.5', 'source_level': 825, 'target_conrey_index': 1, 'target_dim': 9, 'target_embedding_index': 5, 'target_hecke_orbit_code': 76561193765962553, 'target_is_minimal': True, 'target_label': '825.6.a.r.1.5', 'target_level': 825, 'twist_class_label': '825.6.a.r.1.5', 'twist_class_level': 825, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1378950
    {'charpoly_factorization': [[[1190400, 2184608, 202288, -405504, -16568, 16434, 267, -229, -1, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 2}
  • id: 1378951
    {'charpoly_factorization': [[[9, 1], 9]], 'hecke_orbit_code': 81064793393333049, 'p': 3}
  • id: 1378952
    {'charpoly_factorization': [[[0, 1], 9]], 'hecke_orbit_code': 81064793393333049, 'p': 5}
  • id: 1378953
    {'charpoly_factorization': [[[483100953462313044, 29094772919911928, -328863138267747, -11666789785387, 50784724543, 1395689003, -2968465, -64273, 57, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 7}
  • id: 1378954
    {'charpoly_factorization': [[[121, 1], 9]], 'hecke_orbit_code': 81064793393333049, 'p': 11}
  • id: 1378955
    {'charpoly_factorization': [[[710696400561754748209664, 28629671638264207159296, 55297344141276997696, -336907847275318080, -428992759068424, 1258175806512, 1003641651, -1879385, -723, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 13}
  • id: 1378956
    {'charpoly_factorization': [[[-1634487644950377683301000000, -5554101287030291586921000, 2325346979496515983918, 25371876221399686687, 22270812158452144, -10003980064609, -19087063322, -4037335, 2804, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 17}
  • id: 1378957
    {'charpoly_factorization': [[[-83664948863461583271477177, -2273408649833118616588029, -9305690302014626017618, -4324696318957553462, 24035745167397336, 20062493016764, -11756166734, -9433418, 1601, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 19}
  • id: 1378958
    {'charpoly_factorization': [[[-555998919957450545197017688182, 898362047833786849963664311, 135472728767513516960522, -706758016227325591382, 90607906029774854, 193897112519272, -31148166386, -22675402, 2392, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 23}
  • id: 1378959
    {'charpoly_factorization': [[[274343878735772226182972756554752, 345606526396544506942301554176, -91772184742172471452758656, -122583095641694440900544, -9021662548503537296, 6535818532830728, 520777956930, -133964517, -5966, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 29}
  • id: 1378960
    {'charpoly_factorization': [[[-5320948716906582515660631495129600, 7286872403251287023844767454720, -3577395453563947734347795136, 701058363904532427122496, -1723536737986412024, -19522105582655032, 2301305348671, 42093975, -21575, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 31}
  • id: 1378961
    {'charpoly_factorization': [[[-14885019870209244618516879714350488, -9271396793431673217627343985204, 336581732919084196921757302, 1345651638216494897408665, 298739648418091000560, 6834294076600987, -3900437050786, -281957089, 10228, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 37}
  • id: 1378962
    {'charpoly_factorization': [[[2855517579963600915698457185216952, 7973285085607688200327239772740, 3215366948801551801861431570, -489070699078418870561509, -227217255138062000860, 20855488295920147, 3369127301314, -268185267, -13304, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 41}
  • id: 1378963
    {'charpoly_factorization': [[[12851886200871480936630534799812288, 5386623625868647932263006253312, -3758470047333381848449763632, -1060102758966973034765776, 274757035209101717476, 32271586118027144, -3749063590517, -315616637, 13829, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 43}
  • id: 1378964
    {'charpoly_factorization': [[[4476629287456377855521967879719448960, 319778834456716393328202091911312, -219576490640956242762132067408, -14697974923942886121185647, 2979961431629126490574, 204786120174167391, -12408012351820, -858872353, 13998, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 47}
  • id: 1378965
    {'charpoly_factorization': [[[-2405519368878008991730577647150768128, -917504409909375913524797355470336, 270446045645056828049526880896, 131339229422812347553882176, 8814294912618308930336, -553614262438153840, -60572036009992, -798979508, 44166, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 53}
  • id: 1378966
    {'charpoly_factorization': [[[175520017059659852847357727860242178720, 72626882909247157499661470963555212, -2007861305701123878357163614472, -1269343927561030234825089099, -13980685968637747637946, 3617336196017153475, 32684413841708, -3583375973, -11626, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 59}
  • id: 1378967
    {'charpoly_factorization': [[[49670280988970998730709212747768241920, -12612677195889654206678448146594816, -8910132707381304379185301115904, 2047722000258715883749169856, -132260030108322120790112, 889056250913616176, 162693054515200, -2991372812, -49481, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 61}
  • id: 1378968
    {'charpoly_factorization': [[[-135343734840678884465489983893763544320, 69435009853025876412304570694241792, 507992885529274777615568860544, -2586479870122636865115184832, -113561332185963212803392, 7986465857525545424, 110344968857704, -5303545540, -26567, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 67}
  • id: 1378969
    {'charpoly_factorization': [[[-52805640051268060820009707624999440835572, 3358391574434166034816737841935332915, 343687010386124184007133778812946, -15028599959478433361099766218, -805235509733924341505566, 13983506344035811036, 471325324094326, -6243250758, -78454, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 71}
  • id: 1378970
    {'charpoly_factorization': [[[-3757898089218360274057354265821511675392, -30871045921881013637903945375176960, 84273828039058611362741420339968, 6590166040785297842348843904, 28764390781815181954944, -12135764523464821888, -383235063421232, -918995128, 100086, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 73}
  • id: 1378971
    {'charpoly_factorization': [[[262267857661716849057344850077657882377344, 11245337461004933371329478190499786288, -2230230241792194343402578963220576, -111659846752307486688467814469, 1155237174223872997615790, 74207797963465491567, -182322634886500, -15413170923, 8478, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 79}
  • id: 1378972
    {'charpoly_factorization': [[[62247473854189928239265708277299814374400, -152544972825202466574794862804351352320, -5956598834743652575885579834194048, 144861020153252702886549644480, 6049746840339823834672464, -19522741485375855048, -1757743440456966, -5677599627, 157476, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 83}
  • id: 1378973
    {'charpoly_factorization': [[[3036269834508843640630016576106282953856, -2777910404719959848726696834873370176, 703179638209843735985547093114912, -42908418545608909307182615632, -375529702968886368830504, 57112974407516784548, -303564809978970, -16028829903, 65548, 1], 1]], 'hecke_orbit_code': 81064793393333049, 'p': 89}
  • id: 1378974
    {'charpoly_factorization': [[[-1428717054140536698951890644508030035722425, 12873808618012018799609016596017595165, 9463043934950877134164762966583632, -198123197092315356258620282344, -12819419575962417540426634, 283246769269603283322, 2941539821636360, -33297931952, -116757, 1], 1]], 'hecke_orbit_code': 81064793393333049, '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': 19, 'label': '825.6.a.s', 'level': 825, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 246062000
    {'hecke_orbit_code': 81064793393333049, 'n': 1, 'trace_an': 9}
  • id: 246062001
    {'hecke_orbit_code': 81064793393333049, 'n': 2, 'trace_an': 1}
  • id: 246062002
    {'hecke_orbit_code': 81064793393333049, 'n': 3, 'trace_an': -81}
  • id: 246062003
    {'hecke_orbit_code': 81064793393333049, 'n': 4, 'trace_an': 171}
  • id: 246062004
    {'hecke_orbit_code': 81064793393333049, 'n': 5, 'trace_an': 0}
  • id: 246062005
    {'hecke_orbit_code': 81064793393333049, 'n': 6, 'trace_an': -9}
  • id: 246062006
    {'hecke_orbit_code': 81064793393333049, 'n': 7, 'trace_an': -57}
  • id: 246062007
    {'hecke_orbit_code': 81064793393333049, 'n': 8, 'trace_an': -177}
  • id: 246062008
    {'hecke_orbit_code': 81064793393333049, 'n': 9, 'trace_an': 729}
  • id: 246062009
    {'hecke_orbit_code': 81064793393333049, 'n': 10, 'trace_an': 0}
  • id: 246062010
    {'hecke_orbit_code': 81064793393333049, 'n': 11, 'trace_an': -1089}
  • id: 246062011
    {'hecke_orbit_code': 81064793393333049, 'n': 12, 'trace_an': -1539}
  • id: 246062012
    {'hecke_orbit_code': 81064793393333049, 'n': 13, 'trace_an': 723}
  • id: 246062013
    {'hecke_orbit_code': 81064793393333049, 'n': 14, 'trace_an': 720}
  • id: 246062014
    {'hecke_orbit_code': 81064793393333049, 'n': 15, 'trace_an': 0}
  • id: 246062015
    {'hecke_orbit_code': 81064793393333049, 'n': 16, 'trace_an': 4147}
  • id: 246062016
    {'hecke_orbit_code': 81064793393333049, 'n': 17, 'trace_an': -2804}
  • id: 246062017
    {'hecke_orbit_code': 81064793393333049, 'n': 18, 'trace_an': 81}
  • id: 246062018
    {'hecke_orbit_code': 81064793393333049, 'n': 19, 'trace_an': -1601}
  • id: 246062019
    {'hecke_orbit_code': 81064793393333049, 'n': 20, 'trace_an': 0}
  • id: 246062020
    {'hecke_orbit_code': 81064793393333049, 'n': 21, 'trace_an': 513}
  • id: 246062021
    {'hecke_orbit_code': 81064793393333049, 'n': 22, 'trace_an': -121}
  • id: 246062022
    {'hecke_orbit_code': 81064793393333049, 'n': 23, 'trace_an': -2392}
  • id: 246062023
    {'hecke_orbit_code': 81064793393333049, 'n': 24, 'trace_an': 1593}
  • id: 246062024
    {'hecke_orbit_code': 81064793393333049, 'n': 25, 'trace_an': 0}
  • id: 246062025
    {'hecke_orbit_code': 81064793393333049, 'n': 26, 'trace_an': -1987}
  • id: 246062026
    {'hecke_orbit_code': 81064793393333049, 'n': 27, 'trace_an': -6561}
  • id: 246062027
    {'hecke_orbit_code': 81064793393333049, 'n': 28, 'trace_an': 4436}
  • id: 246062028
    {'hecke_orbit_code': 81064793393333049, 'n': 29, 'trace_an': 5966}
  • id: 246062029
    {'hecke_orbit_code': 81064793393333049, 'n': 30, 'trace_an': 0}
  • id: 246062030
    {'hecke_orbit_code': 81064793393333049, 'n': 31, 'trace_an': 21575}
  • id: 246062031
    {'hecke_orbit_code': 81064793393333049, 'n': 32, 'trace_an': -25493}
  • id: 246062032
    {'hecke_orbit_code': 81064793393333049, 'n': 33, 'trace_an': 9801}
  • id: 246062033
    {'hecke_orbit_code': 81064793393333049, 'n': 34, 'trace_an': -3098}
  • id: 246062034
    {'hecke_orbit_code': 81064793393333049, 'n': 35, 'trace_an': 0}
  • id: 246062035
    {'hecke_orbit_code': 81064793393333049, 'n': 36, 'trace_an': 13851}
  • id: 246062036
    {'hecke_orbit_code': 81064793393333049, 'n': 37, 'trace_an': -10228}
  • id: 246062037
    {'hecke_orbit_code': 81064793393333049, 'n': 38, 'trace_an': 12765}
  • id: 246062038
    {'hecke_orbit_code': 81064793393333049, 'n': 39, 'trace_an': -6507}
  • id: 246062039
    {'hecke_orbit_code': 81064793393333049, 'n': 40, 'trace_an': 0}
  • id: 246062040
    {'hecke_orbit_code': 81064793393333049, 'n': 41, 'trace_an': 13304}
  • id: 246062041
    {'hecke_orbit_code': 81064793393333049, 'n': 42, 'trace_an': -6480}
  • id: 246062042
    {'hecke_orbit_code': 81064793393333049, 'n': 43, 'trace_an': -13829}
  • id: 246062043
    {'hecke_orbit_code': 81064793393333049, 'n': 44, 'trace_an': -20691}
  • id: 246062044
    {'hecke_orbit_code': 81064793393333049, 'n': 45, 'trace_an': 0}
  • id: 246062045
    {'hecke_orbit_code': 81064793393333049, 'n': 46, 'trace_an': 81283}
  • id: 246062046
    {'hecke_orbit_code': 81064793393333049, 'n': 47, 'trace_an': -13998}
  • id: 246062047
    {'hecke_orbit_code': 81064793393333049, 'n': 48, 'trace_an': -37323}
  • id: 246062048
    {'hecke_orbit_code': 81064793393333049, 'n': 49, 'trace_an': -19468}
  • id: 246062049
    {'hecke_orbit_code': 81064793393333049, 'n': 50, 'trace_an': 0}
  • id: 246062050
    {'hecke_orbit_code': 81064793393333049, 'n': 51, 'trace_an': 25236}
  • id: 246062051
    {'hecke_orbit_code': 81064793393333049, 'n': 52, 'trace_an': 37131}
  • id: 246062052
    {'hecke_orbit_code': 81064793393333049, 'n': 53, 'trace_an': -44166}
  • id: 246062053
    {'hecke_orbit_code': 81064793393333049, 'n': 54, 'trace_an': -729}
  • id: 246062054
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  • id: 246062985
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  • id: 246062988
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  • id: 246062990
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  • id: 246062991
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  • id: 246062992
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  • id: 246062993
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  • id: 246062995
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  • id: 246062996
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  • id: 246062997
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  • id: 246062998
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  • id: 246062999
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