Embedded newform data - 432.7.o.c.415.1

Formats: - HTML - YAML - JSON - 2024-06-06T15:21:05.916997

• 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': 21168, 'analytic_conductor': 99.38336412377564, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 36, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 15, 'char_orbit_label': 'o', 'char_order': 6, 'char_parity': -1, 'char_values': [432, 6, [271, 325, 353], [3, 6, 4]], 'cm_discs': [], 'conrey_index': 127, 'dim': 24, 'has_non_self_twist': 1, 'hecke_orbit': 3, 'hecke_orbit_code': 9008161444856240, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 36, 6, -1, 6, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '432.7.o.c', 'level': 432, 'level_is_powerful': True, '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': '144.7.o.a', 'prim_orbit_index': 6, 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '6.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '432.7.o', 'trace_display': [0, 0, 72, 360], 'traces': [24, 0, 0, 0, 72, 0, 360, 0, 0, 0, -864, 0, -840, 0, 0, 0, 12888, 0, 0, 0, 0, 0, 60264, 0, -42828, 0, 0, 0, 5760, 0, 18360, 0, 0, 0, 0, 0, 49728, 0, 0, 0, 52164, 0, 0, 0, 0, 0, 104760, 0, 236004, 0, 0, 0, -134352, 0, 0, 0, 0, 0, 280368, 0, 76440, 0, 0, 0, 22752, 0, -1158048, 0, 0, 0, 0, 0, 43800, 0, 0, 0, -652104, 0, 225576, 0, 0, 0, -306288, 0, -414000, 0, 0, 0, -2486304, 0, 0, 0, 0, 0, 1538784, 0, -365916, 0, 0, 0, -917784, 0, 2522520, 0, 0, 0, 0, 0, -216336, 0, 0, 0, 1408464, 0, 1378944, 0, 0, 0, 873072, 0, 4684488, 0, 0, 0, 3027744, 0, 0, 0, 0, 0, -1755648, 0, -2120184, 0, 0, 0, -6392124, 0, 9046800, 0, 0, 0, 0, 0, -3674304, 0, 0, 0, 1871784, 0, 14634072, 0, 0, 0, -15916176, 0, 1806672, 0, 0, 0, 11678256, 0, 0, 0, 0, 0, 22926024, 0, -7056108, 0, 0, 0, -16327944, 0, -7125264, 0, 0, 0, 0, 0, 16430928, 0, 0, 0, -23838696, 0, -11301984, 0, 0, 0, -2029752, 0, 2165700, 0, 0, 0, -28821600, 0, 0, 0, 0, 0, 39032064, 0, 2217888, 0, 0, 0, -9304092, 0, 8371584, 0, 0, 0, 0, 0, -6622992, 0, 0, 0, -15550344, 0, -13796568, 0, 0, 0, -54908496, 0, 15795384, 0, 0, 0, 58487256, 0, 0, 0, 0, 0, 92475000, 0, -17769108, 0, 0, 0, -53348688, 0, 11316384, 0, 0, 0, 0, 0, 15099696, 0, 0, 0, -22152348, 0, 23650128, 0, 0, 0, -182531880, 0, 17214552, 0, 0, 0, 156319920, 0, 0, 0, 0, 0, 230118192, 0, -11808480, 0, 0, 0, -45006264, 0, 8076240, 0, 0, 0, 0, 0, 3079632, 0, 0, 0, -73363464, 0, -8412552, 0, 0, 0, -236308752, 0, -32995296, 0, 0, 0, 153955872, 0, 0, 0, 0, 0, 214947000, 0, 8694948, 0, 0, 0, -113289336, 0, 26723736, 0, 0, 0, 0, 0, -26601504, 0, 0, 0, -129984480, 0, 62481600, 0, 0, 0, -448783848, 0, -46921476, 0, 0, 0, 304543152, 0, 0, 0, 0, 0, 435216240, 0, 106866768, 0, 0, 0, -94924116, 0, -89225280, 0, 0, 0, 0, 0, -101747280, 0, 0, 0, -246117456, 0, -217591128, 0, 0, 0, -672322032, 0, -82229352, 0, 0, 0, 463721904, 0, 0, 0, 0, 0, 675443448, 0, 71903592, 0, 0, 0, -208122264, 0, -46948896, 0, 0, 0, 0, 0, 23958624, 0, 0, 0, -233836884, 0, 135682560, 0, 0, 0, -992002896, 0, 16159524, 0, 0, 0, 942913440, 0, 0, 0, 0, 0, 880728768, 0, -94117008, 0, 0, 0, -389523852, 0, -107816256, 0, 0, 0, 0, 0, 188357736, 0, 0, 0, -441779184, 0, 3420360, 0, 0, 0, -1098269280, 0, -17173368, 0, 0, 0, 812949912, 0, 0, 0, 0, 0, 1663023528, 0, 24369180, 0, 0, 0, -267253128, 0, -276680376, 0, 0, 0, 0, 0, -54958320, 0, 0, 0, -455569596, 0, -167310432, 0, 0, 0, -1070650008, 0, 87219336, 0, 0, 0, 990557280, 0, 0, 0, 0, 0, 1429643088, 0, -99478224, 0, 0, 0, -501526296, 0, 240011424, 0, 0, 0, 0, 0, -412175952, 0, 0, 0, -571969944, 0, 24522192, 0, 0, 0, -2104230528, 0, 8480592, 0, 0, 0, 1110686040, 0, 0, 0, 0, 0, 2006178192, 0, 339535572, 0, 0, 0, -768451536, 0, 65781504, 0, 0, 0, 0, 0, -17451984, 0, 0, 0, -604652184, 0, -36530640, 0, 0, 0, -2433309552, 0, -181239480, 0, 0, 0, 1321203456, 0, 0, 0, 0, 0, 1572535296, 0, -80171568, 0, 0, 0, -648469764, 0, 140568624, 0, 0, 0, 0, 0, 362915688, 0, 0, 0, -964505016, 0, -28815264, 0, 0, 0, -1954047456, 0, 100138032, 0, 0, 0, 772296192, 0, 0, 0, 0, 0, 2201544360, 0, -206320020, 0, 0, 0, -1270331352, 0, 179129304, 0, 0, 0, 0, 0, 979200768, 0, 0, 0, -334193724, 0, 364364640, 0, 0, 0, -2041964208, 0, -248496780, 0, 0, 0, 1874338128, 0, 0, 0, 0, 0, 2077734240, 0, -374887272, 0, 0, 0, -509541228, 0, 638953056, 0, 0, 0, 0, 0, -100261368, 0, 0, 0, -712921608, 0, 79248888, 0, 0, 0, -2023301808, 0, 543020520, 0, 0, 0, 402771744, 0, 0, 0, 0, 0, 2805158088, 0, -480322680, 0, 0, 0, -1391902272, 0, 1078114824, 0, 0, 0, 0, 0, -1901844000, 0, 0, 0, -136161864, 0, 1035066384, 0, 0, 0, -1812116664, 0, 774560124, 0, 0, 0, 3039792048, 0, 0, 0, 0, 0, 2604650256, 0, 52350864, 0, 0, 0, -343849536, 0, -987723936, 0, 0, 0, 0, 0, 584586432, 0, 0, 0, -1684389096, 0, -1562243976, 0, 0, 0, -643855392, 0, 148895952, 0, 0, 0, -811433160, 0, 0, 0, 0, 0, 2216491128, 0, 52598016, 0, 0, 0, -589334184, 0, -1262509272, 0, 0, 0, 0, 0, 696736752, 0, 0, 0, 112043160, 0, 1444493232, 0, 0, 0, -2039452776, 0, 494467824, 0, 0, 0, 1164564144, 0, 0, 0, 0, 0, -132390288, 0, 546148224, 0, 0, 0, -651384360, 0, 310909248, 0, 0, 0, 0, 0, 1013128464, 0, 0, 0, -846203616, 0, -1078275456, 0, 0, 0, -138716928, 0, -699269760, 0, 0, 0, -660094200, 0, 0, 0, 0, 0, -532804176, 0, -394647012, 0, 0, 0, -956068416, 0, -463839336, 0, 0, 0, 0, 0, 568358880, 0, 0, 0, 69888348, 0, 421012512, 0, 0, 0, 596037528, 0, -1056342444, 0, 0, 0, -708426000, 0, 0, 0, 0, 0, -2289888144, 0, 696391464, 0, 0, 0, 3193821864, 0, -84953808, 0, 0, 0, 0, 0, -2013748272, 0, 0, 0, -201945744, 0, -393633576, 0, 0, 0, 3148171056, 0, -580773480, 0, 0, 0, -2669448960, 0, 0, 0, 0, 0, -1991517624, 0, -180065376, 0, 0, 0, -17033760, 0, -349941168, 0, 0, 0, 0, 0, -446834016, 0, 0, 0, 3766492296, 0, -1038758400, 0, 0, 0, 3141721512, 0, 1151706384, 0, 0, 0, 2611105200, 0, 0, 0, 0, 0, -3337878240, 0, 174725304, 0, 0, 0, 3772093032, 0, 2422335168, 0, 0, 0, 0, 0, -2039768736, 0, 0, 0, 870911280, 0, 2062644264, 0, 0, 0, 3661527888, 0, -24969000, 0, 0, 0, -4115270808, 0, 0, 0, 0, 0, -6244911864, 0, 168603108, 0, 0, 0, -1279430064, 0, -585352728, 0, 0, 0, 0, 0, -61339968, 0, 0, 0, 3718926756, 0, 461672352, 0, 0, 0, 4357658952, 0, -2023338240, 0, 0, 0, 1320717312, 0, 0, 0, 0, 0, -7530650784, 0, 1295222880, 0, 0, 0], 'weight': 7, '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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9533593353282576, 1.6512668066586367], [0.0, 0.0], [0.8679212629019328, -0.501094574771831], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9293665606381314, 0.5365700339602618], [0.0, 0.0], [0.21531976117115578, -0.3729447662220382], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.3036074471497394, 0.0], [0.0, 0.0], [0.0, -0.3712160419532628], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.4538490445746588, 0.8393801372462595], [0.0, 0.0], [-1.3177880445150743, -2.282475846706946], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.07115048521829019, -0.12323625538125699], [0.0, 0.0], [0.7360559809823218, 0.42496211875877754], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.9108927629642745], [0.0, 0.0], [1.312709005985176, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8528219431487941, -1.477130935343328], [0.0, 0.0], [0.6402441124767451, -0.3696451106855218], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.42071707833854327, 0.2429011184314308], [0.0, 0.0], [0.0021915457315240645, -0.0037958685541103817], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7423468426531666, 0.0], [0.0, 0.0], [0.0, -2.0461762037336633], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.1359693749022472, 0.07850195520135757], [0.0, 0.0], [0.34071867551703905, 0.5901420570830856], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.4105542087863445, 0.7111007488791895], [0.0, 0.0], [-0.4592127595863365, -0.26512661036248225], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.14695503332563392], [0.0, 0.0], [1.2719218002860806, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.5377446660052485, 0.9314010830202469], [0.0, 0.0], [-1.0794197824046199, 0.6232033019399146], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.6248025270389326, 0.9380801763659119], [0.0, 0.0], [-1.2428063293436422, 2.1526037063913677], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.888601466956265, 0.0], [0.0, 0.0], [0.0, -0.43158225665613], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6129767281766227, 0.35390227901974924], [0.0, 0.0], [0.31348375768227416, 0.5429697956533092], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.42778444495750684, 0.7409443933540536], [0.0, 0.0], [1.1156108326873253, 0.6440982145628897], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.149347052617461], [0.0, 0.0], [-0.18868826229619723, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5082901531642764, -0.8803843702674933], [0.0, 0.0], [-2.7720811176066382, 1.600461779465671], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.1314286218585665, -0.6532306193988906], [0.0, 0.0], [0.07581480268823304, -0.13131509022182913], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [3.1185834662331473, 0.0], [0.0, 0.0], [0.0, -1.419075777798481], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.5823158408825206, -0.3362002074869066], [0.0, 0.0], [-0.18601434469105235, -0.32218629594153275], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5939210477908908, 1.0287014304583664], [0.0, 0.0], [1.1770006305823102, 0.6795416309030561], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.4621365262556901], [0.0, 0.0], [0.2713279171839686, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.4650494587792453, -0.8054892906380612], [0.0, 0.0], [0.6885332371032395, -0.39752484978755975], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.4034516815873899, 0.8102832061591125], [0.0, 0.0], [-0.8589125648738501, 1.487680201620808], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.6824353317813416, 0.0], [0.0, 0.0], [0.0, 1.5347915094561235], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.46532501620542427, 0.26865552336686865], [0.0, 0.0], [0.40727480089839285, 0.7054206477985151], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.13772831882948872, 0.23855244585371974], [0.0, 0.0], [-2.2874725276651837, -1.3206728796113674], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.21153584403470632], [0.0, 0.0], [0.049953866088958264, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.251483385425445, 2.1676328083851746], [0.0, 0.0], [-1.2115291695798078, 0.6994766921879858], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.07869719717354855, -0.04543584797261731], [0.0, 0.0], 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-0.09466686096995801, -0.09681037311838515, -0.13604879024571964, -0.25411128046396786, -0.2730729666391546, -0.3723828616939353, -0.31052223174117544, -0.15415982426521646, -0.02799815081773389, -0.20937354483199555, -0.48829514154544407, -0.14030197466037747, -0.4404178771187883, 0.3603655744166393, -0.3232739127038705, -0.032585267017316975, -0.012980451638250895, -0.05528306576930397, 0.011895733717387676, -0.2650376993046358, -0.33180554256972, -0.3744518635295095, -0.22123760686934882, 0.017877095016551246, -0.047756014329455344, -0.3396849361581579, -0.2682679561123272, 0.2477630670038137, 0.13922389561490162, -0.12337700467630827, -0.06134329140328366, 0.01686503229380491, -0.24602438420682135, -0.32609950313807573, 0.22759864107133207, -0.270633820897741, 0.038845938931334034, -0.27769499222398547, -0.24701668983230368, -0.4207665156484395, -0.38250552165199375, -0.22385810469913017, -0.16806409111368434, -0.1067512327790006, -0.48679640468471763, -0.3942265598174389, 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0.0450533696901786, -0.036020376805578604, 0.11581791126007261, -0.41286356634093935, -0.18209069082897938, 0.04747426701499505, -0.22189138911861048, -0.41678724600087025, -0.36928225946330334, 0.055220289582569436, -0.040326571217324796, -0.389111991208283, -0.3322561694104518, -0.34402863082504304, -0.2229908072611649, -0.10113093087897118, 0.05563291573517476, -0.4054593927337619, -0.17117077338315914, 0.12207245592619924, -0.016230846592116547], 'char_orbit_index': 15, 'conrey_index': 415, 'dual_conrey_index': 127, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 13, 'hecke_orbit': 3, 'hecke_orbit_code': 9008161444856240, 'label': '432.7.o.c.415.1', 'level': 432, 'weight': 7}
• 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

  
  {'Nk2': 21168, 'analytic_conductor': 99.38336412377564, 'char_conductor': 36, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 15, 'char_orbit_label': 'o', 'char_order': 6, 'char_parity': -1, 'char_values': [432, 6, [271, 325, 353], [3, 6, 4]], 'conrey_index': 127, 'cusp_dim': 828, 'dim': 72, 'eis_dim': 72, 'eis_new_dim': 0, 'hecke_orbit_code': 962190115248, 'hecke_orbit_dims': [24, 24, 24], 'label': '432.7.o', 'level': 432, 'level_is_powerful': True, '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': 900, 'mf_new_dim': 72, 'num_forms': 3, 'prim_orbit_index': 6, 'relative_dim': 36, 'sturm_bound': 504, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20520, 0, 0, 0, 0, 0, 0, 0, -112500, 0, 0, 0, 25704, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15660, 0, 0, 0, 0, 0, 0, 0, 605052, 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0, 0, 0, 0, 1062824976, 0, 0, 0, 1112944104, 0, 0, 0, 0, 0, 0, 0, 624822768, 0, 0, 0, 3245598288, 0, 0, 0, 0, 0, 0, 0, 772122240, 0, 0, 0, -106074360, 0, 0, 0, 0, 0, 0, 0, 2728695024, 0, 0, 0, -1706931576, 0, 0, 0, 0, 0, 0, 0, -1621516968, 0, 0, 0, -2747971656, 0, 0, 0, 0, 0, 0, 0, -342455580, 0, 0, 0, -3911548968, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -527536908, 0, 0, 0, 0, 0, 0, 0, -1246233780, 0, 0, 0, 1516112208, 0, 0, 0, 0, 0, 0, 0, 1853093808, 0, 0, 0, 6166327608, 0, 0, 0, 0, 0, 0, 0, -3325456944, 0, 0, 0, -2036428344, 0, 0, 0, 0, 0, 0, 0, -1336533264, 0, 0, 0, -5770973088, 0, 0, 0, 0, 0, 0, 0, -332188992, 0, 0, 0, -2741388192, 0, 0, 0, 0, 0, 0, 0, -1931398560, 0, 0, 0, 7067369016, 0, 0, 0, 0, 0, 0, 0, 2176872624, 0, 0, 0, 14315555520, 0, 0, 0, 0, 0, 0, 0, -321340392, 0, 0, 0, 4709587752, 0, 0, 0, 0, 0, 0, 0, -3793174272, 0, 0, 0, -3152982888, 0, 0, 0, 0, 0, 0, 0, -1068514920, 0, 0, 0, -8322683688, 0, 0, 0, 0, 0, 0, 0, 3129496956, 0, 0, 0, -8186940648, 0, 0, 0, 0, 0, 0, 0, 2852457840, 0, 0, 0, 5940623916, 0, 0, 0, 0, 0, 0, 0, -2310925680, 0, 0, 0, 15186469680, 0, 0, 0, 0, 0, 0, 0, 2178310680, 0, 0, 0], 'weight': 7, '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: 41389627
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 415, 'source_dim': 24, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008161444856240, 'source_is_minimal': False, 'source_label': '432.7.o.c.415.1', 'source_level': 432, 'target_conrey_index': 415, 'target_dim': 24, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008161444856240, 'target_is_minimal': False, 'target_label': '432.7.o.c.415.1', 'target_level': 432, 'twist_class_label': '144.7.o.a.31.11', 'twist_class_level': 144, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 7}
  • id: 41389628
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 415, 'source_dim': 24, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008161444856240, 'source_is_minimal': False, 'source_label': '432.7.o.c.415.1', 'source_level': 432, 'target_conrey_index': 31, 'target_dim': 24, 'target_embedding_index': 11, 'target_hecke_orbit_code': 962190114960, 'target_is_minimal': True, 'target_label': '144.7.o.a.31.11', 'target_level': 144, 'twist_class_label': '144.7.o.a.31.11', 'twist_class_level': 144, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 7}
  • id: 41389629
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 415, 'source_dim': 24, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008161444856240, 'source_is_minimal': False, 'source_label': '432.7.o.c.415.1', 'source_level': 432, 'target_conrey_index': 415, 'target_dim': 24, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504561817485744, 'target_is_minimal': False, 'target_label': '432.7.o.b.415.1', 'target_level': 432, 'twist_class_label': '144.7.o.a.31.11', 'twist_class_level': 144, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 7}
  • id: 41389630
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 415, 'source_dim': 24, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008161444856240, 'source_is_minimal': False, 'source_label': '432.7.o.c.415.1', 'source_level': 432, 'target_conrey_index': 79, 'target_dim': 24, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9008161444855952, 'target_is_minimal': True, 'target_label': '144.7.o.c.79.2', 'target_level': 144, 'twist_class_label': '144.7.o.a.31.11', 'twist_class_level': 144, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 7}
  • id: 41389631
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 415, 'source_dim': 24, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008161444856240, 'source_is_minimal': False, 'source_label': '432.7.o.c.415.1', 'source_level': 432, 'target_conrey_index': 127, 'target_dim': 24, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504561817485744, 'target_is_minimal': False, 'target_label': '432.7.o.b.127.1', 'target_level': 432, 'twist_class_label': '144.7.o.a.31.11', 'twist_class_level': 144, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 7}
  • id: 41389632
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 415, 'source_dim': 24, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008161444856240, 'source_is_minimal': False, 'source_label': '432.7.o.c.415.1', 'source_level': 432, 'target_conrey_index': 31, 'target_dim': 24, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9008161444855952, 'target_is_minimal': True, 'target_label': '144.7.o.c.31.2', 'target_level': 144, 'twist_class_label': '144.7.o.a.31.11', 'twist_class_level': 144, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 7}
  • id: 41389633
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 415, 'source_dim': 24, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008161444856240, 'source_is_minimal': False, 'source_label': '432.7.o.c.415.1', 'source_level': 432, 'target_conrey_index': 127, 'target_dim': 24, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008161444856240, 'target_is_minimal': False, 'target_label': '432.7.o.c.127.1', 'target_level': 432, 'twist_class_label': '144.7.o.a.31.11', 'twist_class_level': 144, 'twisting_char_label': '36.7', 'twisting_conrey_index': 7, 'weight': 7}
  • id: 41389634
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 415, 'source_dim': 24, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008161444856240, 'source_is_minimal': False, 'source_label': '432.7.o.c.415.1', 'source_level': 432, 'target_conrey_index': 79, 'target_dim': 24, 'target_embedding_index': 11, 'target_hecke_orbit_code': 962190114960, 'target_is_minimal': True, 'target_label': '144.7.o.a.79.11', 'target_level': 144, 'twist_class_label': '144.7.o.a.31.11', 'twist_class_level': 144, 'twisting_char_label': '36.11', 'twisting_conrey_index': 11, 'weight': 7}
• hecke_orbit_code 9008161444856240 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 15, 'hecke_orbit': 3, 'label': '432.7.o.c', 'level': 432, 'portrait': 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', 'weight': 7}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 31677991
    {'hecke_orbit_code': 9008161444856240, 'n': 1, 'trace_an': 24}
  • id: 31677992
    {'hecke_orbit_code': 9008161444856240, 'n': 2, 'trace_an': 0}
  • id: 31677993
    {'hecke_orbit_code': 9008161444856240, 'n': 3, 'trace_an': 0}
  • id: 31677994
    {'hecke_orbit_code': 9008161444856240, 'n': 4, 'trace_an': 0}
  • id: 31677995
    {'hecke_orbit_code': 9008161444856240, 'n': 5, 'trace_an': 72}
  • id: 31677996
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  • id: 31678248
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