Embedded newform data - 936.2.dg.e.829.9

Formats: - HTML - YAML - JSON - 2025-09-12T06:56:49.916026

• 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': 3744, 'analytic_conductor': 7.473997629191844, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 104, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 85, 'char_orbit_label': 'dg', 'char_order': 6, 'char_parity': 1, 'char_values': [936, 6, [703, 469, 209, 145], [6, 3, 6, 5]], 'cm_discs': [], 'conrey_index': 829, 'dim': 48, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [10816, 0, -1088320, 0, 19021472, 0, -47035112, 0, 51104521, 0, -30690288, 0, 11205412, 0, -2600048, 0, 389342, 0, -37296, 0, 2196, 0, -72, 0, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18020170979083176, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 2, 1, 2, 0], [1, 1, 13, 5, 1, 6, 0], [1, 1, 104, 19, 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': '936.2.dg.e', 'level': 936, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 13], 'level_radical': 78, 'minimal_twist': '312.2.bk.b', 'prim_orbit_index': 19, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '936.2.dg', 'trace_display': [0, 0, 0, -12], 'traces': [48, 0, 0, -2, 0, 0, -12, 0, 0, -4, 0, 0, 0, 36, 0, -2, -12, 0, 0, -54, 0, -14, -20, 0, 48, 42, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, -8, 12, 0, 0, 0, 0, -30, 0, 0, 16, 84, 0, -28, 0, 0, -68, -18, 0, -24, 0, 0, 0, -24, 0, -68, -12, 0, 0, -4, 0, 0, 12, 0, 0, -54, 0, -54, 0, 0, -192, -78, 0, -6, 0, 0, 0, 0, 0, -10, 48, 0, 0, 12, 0, 54, 20, 0, 144, -24, 0, 68, 0, 0, 8, -26, 0, 36, 0, 0, 0, 6, 0, 0, -4, 0, 0, -84, 0, 48, 132, 0, -40, 0, 0, 132, 0, 0, 0, -168, 0, 6, 0, 0, 0, -10, 0, -6, -36, 0, 0, 18, 0, -28, -52, 0, 0, 20, 0, 0, 0, 0, 0, 78, 0, -12, 0, 0, 0, -108, 0, 28, 0, 0, 0, 0, 0, 62, 96, 0, -32, 76, 0, -30, 0, 0, 0, 138, 0, 112, 0, 0, 0, -102, 0, -30, 76, 0, 0, -126, 0, 0, -88, 0, -48, -200, 0, -172, 0, 0, 60, 0, 0, 228, 0, 0, 0, -102, 0, 92, 0, 0, 0, 82, 0, 30, -156, 0, -64, 68, 0, 12, 0, 0, 96, 42, 0, 0, 0, 0, 0, 78, 0, -144, 288, 0, 0, 84, 0, 86, 0, 0, 168, 0, 0, -80, 0, 0, 24, 104, 0, -68, 0, 0, 0, 216, 0, -18, -52, 0, 0, 96, 0, 0, -44, 0, 0, -180, 0, 0, 0, 0, 144, 232, 0, -188, 0, 0, 0, 0, 0, -294, 0, 0, 0, 294, 0, 180, 8, 0, 16, 80, 0, -102, 0, 0, -136, -78, 0, -8, 0, 0, 0, 18, 0, 0, 156, 0, 0, -168, 0, 132, -280, 0, -96, 78, 0, -80, 0, 0, -132, 0, 0, 56, 0, 0, 0, 16, 0, 126, -16, 0, 0, -90, 0, -52, -20, 0, 192, 68, 0, -96, 0, 0, 0, 150, 0, 0, 0, 0, 0, 280, 0, 364, -84, 0, 0, 0, 0, -246, 0, 0, -8, 270, 0, -130, 0, 0, 4, -58, 0, 6, 0, 0, 0, -58, 0, -244, 92, 0, 0, -38, 0, 0, -216, 0, 0, -92, 0, 24, 0, 0, 120, -156, 0, 24, 0, 0, 0, 0, 0, -8, -180, 0, 0, -140, 0, 50, -204, 0, -96, -90, 0, 118, 0, 0, -40, -152, 0, -60, 0, 0, 0, 264, 0, 0, 64, 0, 0, -100, 0, 68, -300, 0, -72, 0, 0, 120, 0, 0, 180, -426, 0, -48, 0, 0, 0, -192, 0, 54, -144, 0, 0, 116, 0, -132, 96, 0, 24, -88, 0, 0, 0, 0, 0, 198, 0, 72, 0, 0, 0, -90, 0, -88, 0, 0, 0, 0, 0, -26, 192, 0, -48, 24, 0, -114, 0, 0, -132, -18, 0, 64, 0, 0, 0, -130, 0, 96, -64, 0, 0, -90, 0, 0, 76, 0, -48, -256, 0, 144, 0, 0, 28, 0, 0, 186, 0, 0, 0, -414, 0, 98, -184, 0, 0, 132, 0, 6, 456, 0, 24, 140, 0, 128, 0, 0, -348, 22, 0, 0, 0, 0, 0, 92, 0, 138, -192, 0, 0, -120, 0, -8, 0, 0, -192, 0, 0, -40, 0, 0, -16, 84, 0, -130, 0, 0, 0, 18, 0, -102, 56, 0, 0, 202, 0, 6, -16, 0, 0, -468, 0, 0, 0, 0, -276, 88, 0, -176, 0, 0, 0, 0, 0, -108, 0, 0, 0, 270, 0, 56, 64, 0, 32, 264, 0, 174, 0, 0, 120, -110, 0, 108, 0, 0, 0, 110, 0, 0, -60, 0, 0, -176, 0, -270, 544, 0, 48, 60, 0, -28, 0, 0, 240, 0, 0, -76, 0, 0, 0, 108, 0, 196, 60, 0, 0, -60, 0, -82, -64, 0, -240, 160, 0, 384, 0, 0, 0, 300, 0, 0, 0, 0, 0, 240, 0, 156, 240, 0, 0, 0, 0, -474, 0, 0, -56, 552, 0, -114, 0, 0, -48, -134, 0, -204, 0, 0, 0, -196, 0, 316, -268, 0, 0, -96, 0, 0, 432, 0, 0, -132, 0, 228, 0, 0, -136, 18, 0, 54, 0, 0, 0, 0, 0, 56, -72, 0, 0, 12, 0, 94, 40, 0, -144, 204, 0, -88, 0, 0, 360, -44, 0, -24, 0, 0, 0, 246, 0, 0, 56, 0, 0, -240, 0, 4, 984, 0, -40, 0, 0, 486, 0, 0, -180, -390, 0, -304, 0, 0, 0, -132, 0, 114, -168, 0, 0, 224, 0, 48, 96, 0, 24, -276, 0, 0, 0, 0, 0, 128, 0, 36, 0, 0, 0, 198, 0, -62, 0, 0, 0, 0, 0, -88, -468, 0, 128, -384, 0, -150, 0, 0, 252, -144, 0, -102, 0, 0, 0, -168, 0, 108, 52, 0, 0, 78, 0, 0, 48, 0, 240, -248, 0, -288, 0, 0, 112, 0, 0, 132, 0, 0, 0, -498, 0, 20, -456, 0, 0, 176, 0, 156, -72, 0, 72, 10, 0, -40, 0, 0, 252, 270, 0, 0, 0, 0, 0, 190, 0, -234, -376, 0, 0, 222, 0, -6, 0, 0, -48, 0, 0, 136, 0, 0, 188, -128, 0, -152, 0, 0, 0, -210, 0, 6, 76, 0, 0, -114, 0, -84, 176, 0, 0, -168, 0, 0, 0, 0, 324, 532, 0, -208, 0, 0, 0, 0, 0, -102, 0, 0, 0, 414, 0, -138, -144, 0, -8, -28, 0, -144, 0, 0, -8, -86, 0, 72, 0, 0, 0, 150, 0, 0, -276, 0, 0, -140, 0, -186, -904, 0, 480, -12, 0, 126, 0, 0, -156, 0, 0, -44, 0, 0, 0, 144, 0, 130, 232, 0, 0, 174, 0, -52, 252, 0, -352, -176, 0, -198, 0, 0, 0, 564, 0, 0, 0, 0, 0, 132, 0, -88, -84, 0, 0, 0, 0, -222, 0, 0, -176, 390, 0, 30, 0, 0, 284, -116, 0, 84, 0, 0, 0, -120, 0, -152], 'weight': 2, '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], [-0.46816229159087086, -0.8836425005240436], [0.0, 0.0], [-0.5616481374647688, 0.8273761959848471], [-0.8433852658157983, 0.0], [0.0, 0.0], [1.4398723705318193, 0.8313107007252504], [0.9940472497973721, 0.10894982868403662], [0.0, 0.0], [0.3948411787382999, 0.7452510651906072], [0.019983317039145854, 0.03461212041555748], [0.0, 0.0], [-0.9971059198202801, 0.07602489499731765], [0.06048751771469915, -1.6615207446077649], [0.0, 0.0], [-0.3691027393647123, -0.9293885989151499], [-0.27844550086271974, 0.4822817546331943], [0.0, 0.0], [-0.5023379035447026, 0.870074771507059], [0.4736857637106721, -0.6977968929803443], [0.0, 0.0], [0.021229305133809093, -0.033862197847802124], [-0.41199059472741395, -0.7135886423083995], [0.0, 0.0], [-0.2887012934048152, 0.0], [0.533986220699393, 0.8454931792174193], [0.0, 0.0], [-1.496508320343733, 0.7244120179174321], [-0.409944473560399, 0.2366815521628958], [0.0, 0.0], [0.0, -0.19170315793928486], [-0.6484472812104688, 0.761259563809054], [0.0, 0.0], [0.5565223393882578, 0.020260147200461105], [-1.214367141961802, -0.7011151963066828], [0.0, 0.0], [-0.868913934018157, -1.505003081123999], [1.0040107108138254, 0.0365509223120988], [0.0, 0.0], [-0.83836480400382, -0.09188668022527191], [-1.1159533662748242, 0.6442959764218388], [0.0, 0.0], [1.269327376736237, 0.732846502648428], [-0.03986083731979766, -0.002906112130096486], [0.0, 0.0], [-0.43767879129347953, 0.6981276933536384], [0.0, 1.4749052968934495], [0.0, 0.0], [0.8821549622806136, 1.5279372148190293], [0.13515905910564666, 0.25510873280875646], [0.0, 0.0], [0.49712149429912733, -0.8676809436110734], [0.0, 1.1380514842654794], [0.0, 0.0], [-0.016853635152941398, -0.029191352377123364], [1.3407300115591552, 0.9832359638793808], [0.0, 0.0], [0.40106242274818266, 0.25143898185505814], [-0.21532527659021106, 0.37295431920806693], [0.0, 0.0], [0.8200376557609462, 0.473448961299212], [-0.16939705783982534, 0.08974818972606224], [0.0, 0.0], [0.9762598696594381, 0.2166025551385229], [0.840944441234133, -0.0641182762759309], [0.0, 0.0], [0.06605149494170597, 0.11440454515491343], [-0.24264004659631846, -0.5012518285158668], [0.0, 0.0], [-0.051014281206349356, 1.4013021148494829], [-0.765493086102467, -0.44195763932405674], [0.0, 0.0], [0.0, 0.7190572169203729], [-0.9230919473556214, 1.4723949727063208], [0.0, 0.0], [-0.43774200676805664, -0.9042982986058432], [0.0, 0.0664493811625087], [0.0, 0.0], [-1.792363056827597, 0.0], [0.31129581195244715, 0.7838326505422261], [0.0, 0.0], [1.091774592946742, 0.6844687422588839], [-0.015857429387195643, 0.0], [0.0, 0.0], [0.23483683276031803, -0.4067493258294262], [0.053323102628691665, -1.4647227152270765], [0.0, 0.0], [0.016093376754925667, 0.036583262076694115], [1.506409163261275, -0.869725735918616], [0.0, 0.0], [-1.4989055731757204, -0.7194386751238719], [0.8218000065527697, 0.059914520821423095], [0.0, 0.0], [1.3032890045830847, -0.6904950436731511], [0.42366438631039993, -0.733808242447101], [0.0, 0.0], [0.6212556966166516, 0.3586821436772123], [0.9371585724668795, -1.4948322046159843], [0.0, 0.0], [0.1621485437244842, -0.23886457791318122], [-0.930204060838865, 0.5370535649266017], [0.0, 0.0], [-1.081096871580213, 0.0], [-0.999453296639708, -0.03306218135604067], [0.0, 0.0], [1.0056306592814475, -0.5327927908221187], [-0.3234470328307448, 0.18674223147341623], [0.0, 0.0], [-0.10971561643745452, 0.0], [-0.017904483153362273, 0.02855887873297575], [0.0, 0.0], [0.24114985111135545, -1.6450400219660914], [-0.45991805123127044, 0.7966014320506262], [0.0, 0.0], [0.3474667972477889, 0.6018301467764041], [0.0344198677508474, -0.4721100520439746], [0.0, 0.0], [0.4303654621321699, 0.015667417093043656], [-0.801851966782248, 0.46294944887196177], [0.0, 0.0], [0.499201334080226, -0.8646420738331163], [0.03444891592109654, -0.9462710753336341], [0.0, 0.0], [0.15861062957408784, 0.10766972160271375], [1.0868716828953833, 0.0], [0.0, 0.0], [-0.6548597311918806, -1.1342503262552346], [-0.26564883432546604, -0.9640698609652316], [0.0, 0.0], [-0.4503561106865312, -0.7130764896997276], [0.0, -0.10762364678758568], [0.0, 0.0], [-1.4466049359697908, 0.8351977491932001], [0.07016989911709168, -0.11192580218177581], [0.0, 0.0], [-0.3293324988957615, 0.4490742622037437], [1.345553767640676, 0.7768558299564594], [0.0, 0.0], [0.3504315768971507, 0.20232176525411502], [1.2621330675486533, -0.6109584222914524], [0.0, 0.0], [-0.03215755615131409, 0.883330125949493], [-0.022556866537605073, -0.03299272058428556], [0.0, 0.0], [0.34574112880345464, -0.1996137337845996], [0.6353895171793781, -0.33663547445839576], [0.0, 0.0], [1.7332276168643315, 0.12636347202586126], [-0.3256700890980503, 0.5640771408233063], [0.0, 0.0], [0.0, -1.1031080930675297], [-0.5941421087855857, 0.8101658052019756], [0.0, 0.0], [0.058717497328714466, -0.031109094559835317], [0.0, 0.16167961881635173], [0.0, 0.0], [0.0, 0.00517193322853243], [0.8391167960472261, 1.5838081733820564], [0.0, 0.0], [0.546890882631223, -0.6420350995779177], [0.0, -1.3699687599802366], [0.0, 0.0], [-0.4122239766132139, 0.7139928715921711], [0.09369797560555028, -1.2851808862183192], [0.0, 0.0], [0.0074238504806499305, 0.01401229855558501], [0.9657620217484949, -0.5575829632296108], [0.0, 0.0], [0.9884404306812936, -0.15160974571108124], [-0.4693627411373957, -0.017087109632128093], [0.0, 0.0], [-1.319255108579004, 0.6386093831633933], [0.5635636986287457, 0.32537365310880745], [0.0, 0.0], [-0.4156930157103935, -0.24000047452064302], [0.024792213037755154, -0.03134769548529255], [0.0, 0.0], [-1.4737705900031246, -0.9239543662533094], [-1.1074660411683324, 0.6393958169869058], [0.0, 0.0], [0.0, 0.8799920854403857], [0.06600447815610977, 1.6613107275355103], [0.0, 0.0], [-0.33179275730079516, -0.7542271320882913], [0.7328292092129544, 1.2692974236273593], [0.0, 0.0], [-0.022257058887453957, 0.0], [-1.220301533981604, -0.8283778129371279], [0.0, 0.0], [-0.8467678402216268, 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-0.3927318230098831, -0.04909526814400741, -0.24852939235972096, 0.09161893889152241, 0.018143321200875737, -0.4854278577934043, -0.4703376120575383, -0.4720566825465959, -0.3404203490429677, -0.06188874133026608, -0.43269269095306667, -0.04266084760762486, -0.2554864876009175, -0.24178320534158051, -0.03391684258040302, 0.26802634697543243, -0.4698189787151253, 0.01370546941251361, -0.38095995367919727, -0.46396155193754735, -0.10741918610915506, -0.11048734283723553, 0.11190075438657332, -0.4248870563764065, -0.09553492726351265, 0.08502391040046174, -0.4066907831818866, -0.4361479152428083, -0.11932447125130081, -0.32240980406466724, -0.0923234940983171, -0.21118322080421206, -0.06728308100013308, -0.2688920302407651, -0.22114525615612687, -0.32831446436696693, -0.4359240671606186, 0.2631622736532025, -0.19500059648600176, -0.09197325964359812, -0.16817800075650888, -0.015583982820215196, -0.45988092682129605, -0.34704089044067193, -0.35658449082889526, -0.24935966301023152, -0.18275035094296643, -0.35432146942170656, 0.10076430264842842, 0.06521784300207792, 0.22452733647034984, -0.1034859136016743, -0.3406076330791839, -0.14699221670360227, -0.2724429223918927, -0.24011360487137065, -0.44948475415474215, -0.28211631339131, -0.24469695209237158, -0.34746912398786134, -0.15086617000333688, 0.17358383868574723, -0.435282664203425, -0.11621129081858582, -0.3023284594263002, 0.07047741235811339, -0.06492610969759106, -0.217059882382338], 'char_orbit_index': 85, 'conrey_index': 829, 'dual_conrey_index': 901, 'dual_embedding_index': 9, 'dual_embedding_m': 33, 'embedding_index': 9, 'embedding_m': 9, 'hecke_orbit': 5, 'hecke_orbit_code': 18020170979083176, 'label': '936.2.dg.e.829.9', 'level': 936, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 3744, 'analytic_conductor': 7.473997629191844, 'char_conductor': 104, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 85, 'char_orbit_label': 'dg', 'char_order': 6, 'char_parity': 1, 'char_values': [936, 6, [703, 469, 209, 145], [6, 3, 6, 5]], 'conrey_index': 829, 'cusp_dim': 320, 'dim': 136, 'eis_dim': 32, 'eis_new_dim': 8, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 5772469601192, 'hecke_orbit_dims': [4, 4, 8, 16, 48, 56], 'label': '936.2.dg', 'level': 936, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 13], 'level_radical': 78, 'mf_dim': 352, 'mf_new_dim': 144, 'num_forms': 6, 'prim_orbit_index': 19, 'relative_dim': 68, 'sturm_bound': 336, 'trace_bound': 2, 'trace_display': [3, 0, 0, -6], 'traces': [136, 3, 0, -1, 0, 0, -6, 0, 0, -7, 0, 0, 0, 16, 0, -1, 0, 0, 0, 3, 0, -2, 14, 0, 116, 19, 0, -36, 0, 0, 0, 3, 0, 0, 0, 0, 0, 40, 0, -62, 0, 0, 0, 0, 0, -18, 0, 0, 46, 66, 0, -4, 0, 0, -12, 0, 0, 9, 0, 0, 0, 0, 0, -46, 18, 0, 0, -37, 0, 0, 6, 0, 0, -13, 0, -72, 0, 0, 32, -63, 0, -9, 0, 0, 0, 0, 0, -28, 6, 0, 0, -36, 0, 0, 0, 0, 18, 39, 0, 4, 0, 0, 112, -11, 0, -75, 0, 0, 0, 36, 0, 0, 12, 0, 0, -94, 0, 0, 114, 0, -50, 0, 0, -12, 0, 0, 18, -123, 0, -13, 0, 0, 0, -30, 0, -51, 12, 0, 0, 34, 0, -180, -38, 0, -6, -53, 0, 0, 0, 0, 0, 32, 0, -54, 0, 0, 0, -72, 0, 19, 0, 0, 0, 0, 0, -28, -30, 0, -2, -82, 0, 42, 0, 0, -78, -18, 0, 22, 0, 0, 0, 2, 0, -6, 10, 0, 0, -78, 0, 0, 34, 0, -72, -100, 0, 14, 0, 0, 10, 0, 0, -51, 0, 0, 0, -186, 0, -19, -4, 0, 0, 69, 0, 72, -72, 0, 12, 36, 0, -52, 0, 0, 6, 90, 0, 0, 0, 0, 0, 18, 0, 99, 96, 0, 0, 96, 0, 18, 0, 0, -36, 0, 0, -89, 0, 0, -62, 136, 0, 85, 0, 0, 0, -66, 0, 7, -16, 0, 0, 2, 0, 144, -62, 0, 0, -168, 0, 0, 0, 0, -66, 138, 0, 206, 0, 0, 0, 0, 0, -78, 0, 0, 0, 288, 0, 76, -156, 0, -56, 125, 0, 117, 0, 0, -12, -31, 0, 82, 0, 0, 0, 100, 0, 0, 114, 0, 0, -92, 0, 360, -288, 0, -48, 51, 0, -54, 0, 0, -126, 0, 0, -24, 0, 0, 0, 200, 0, -27, -36, 0, 0, 120, 0, 4, -92, 0, -76, -14, 0, -99, 0, 0, 0, 258, 0, 0, 0, 0, 0, 236, 0, 100, 84, 0, 0, 0, 0, 84, 0, 0, 6, 351, 0, -16, 0, 0, -110, -112, 0, 237, 0, 0, 0, -56, 0, -172, 40, 0, 0, -186, 0, 0, -54, 0, 0, -49, 0, -120, 0, 0, -100, -141, 0, -60, 0, 0, 0, 0, 0, -24, -48, 0, 0, -218, 0, -148, -86, 0, -60, 225, 0, 90, 0, 0, -272, 10, 0, 186, 0, 0, 0, 276, 0, 0, 102, 0, 0, -52, 0, -60, -222, 0, -16, 0, 0, -150, 0, 0, -46, -486, 0, 57, 0, 0, 0, -134, 0, -30, -210, 0, 0, 105, 0, 144, 208, 0, -60, -204, 0, 0, 0, 0, 0, 115, 0, -180, 0, 0, 0, -66, 0, 56, 0, 0, 0, 0, 0, 170, 282, 0, 28, -134, 0, 143, 0, 0, -222, -255, 0, 145, 0, 0, 0, -42, 0, 240, -18, 0, 0, -243, 0, 0, -26, 0, -42, -260, 0, 408, 0, 0, 48, 0, 0, -81, 0, 0, 0, -534, 0, 43, -60, 0, 0, 112, 0, -282, 72, 0, -42, 157, 0, 272, 0, 0, -444, 226, 0, 0, 0, 0, 0, 112, 0, 525, -56, 0, 0, -63, 0, 148, 0, 0, 0, 0, 0, -58, 0, 0, 82, 340, 0, -49, 0, 0, 0, -222, 0, -8, -34, 0, 0, 34, 0, -6, 134, 0, 0, -384, 0, 0, 0, 0, 336, 142, 0, -62, 0, 0, 0, 0, 0, 255, 0, 0, 0, 555, 0, 50, 416, 0, -68, 166, 0, 360, 0, 0, -10, -158, 0, 302, 0, 0, 0, 272, 0, 0, -144, 0, 0, -140, 0, 54, 516, 0, -96, 72, 0, -157, 0, 0, 186, 0, 0, 23, 0, 0, 0, 284, 0, -257, 8, 0, 0, 312, 0, -190, 98, 0, -220, 18, 0, 282, 0, 0, 0, 303, 0, 0, 0, 0, 0, 232, 0, -192, 108, 0, 0, 0, 0, 198, 0, 0, -60, 603, 0, 75, 0, 0, 78, -205, 0, -48, 0, 0, 0, -152, 0, 208, -166, 0, 0, -304, 0, 0, 312, 0, 0, -186, 0, -270, 0, 0, 348, -78, 0, -161, 0, 0, 0, 0, 0, 290, -108, 0, 0, -196, 0, -264, 58, 0, -24, 285, 0, 143, 0, 0, 312, 58, 0, -261, 0, 0, 0, 378, 0, 0, -74, 0, 0, -286, 0, -608, 378, 0, 34, 0, 0, -156, 0, 0, 158, -594, 0, -72, 0, 0, 0, -234, 0, -342, -114, 0, 0, 170, 0, -316, -210, 0, -126, -386, 0, 0, 0, 0, 0, 126, 0, -663, 0, 0, 0, -120, 0, 169, 0, 0, 0, 0, 0, 62, -438, 0, -6, -300, 0, 58, 0, 0, 432, -348, 0, -101, 0, 0, 0, -128, 0, -99, 28, 0, 0, -396, 0, 0, 96, 0, 234, -182, 0, -246, 0, 0, 130, 0, 0, -324, 0, 0, 0, -648, 0, 95, -84, 0, 0, 260, 0, -390, 102, 0, -8, 167, 0, 356, 0, 0, 252, 357, 0, 0, 0, 0, 0, 184, 0, 54, -164, 0, 0, 132, 0, 64, 0, 0, 108, 0, 0, -28, 0, 0, 210, 276, 0, 268, 0, 0, 0, -504, 0, -238, 8, 0, 0, 69, 0, -156, -158, 0, 0, -510, 0, 0, 0, 0, -168, 508, 0, -16, 0, 0, 0, 0, 0, 447, 0, 0, 0, 708, 0, -354, -344, 0, 104, 199, 0, 54, 0, 0, 162, -220, 0, -186, 0, 0, 0, 348, 0, 0, -156, 0, 0, -162, 0, 324, -760, 0, 276, -36, 0, -78, 0, 0, 282, 0, 0, -300, 0, 0, 0, 412, 0, -292, 94, 0, 0, 330, 0, -94, -114, 0, 104, -28, 0, -471, 0, 0, 0, 507, 0, 0, 0, 0, 0, 440, 0, -574, -300, 0, 0, 0, 0, -162, 0, 0, 8, 813, 0, -116, 0, 0, 26, -224, 0, 354, 0, 0, 0, -266, 0, -554], 'weight': 2, '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: 44866605
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 829, 'source_dim': 48, 'source_embedding_index': 9, 'source_hecke_orbit_code': 18020170979083176, 'source_is_minimal': False, 'source_label': '936.2.dg.e.829.9', 'source_level': 936, 'target_conrey_index': 829, 'target_dim': 48, 'target_embedding_index': 9, 'target_hecke_orbit_code': 18020170979083176, 'target_is_minimal': False, 'target_label': '936.2.dg.e.829.9', 'target_level': 936, 'twist_class_label': '312.2.bk.b.205.8', 'twist_class_level': 312, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 44866606
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 829, 'source_dim': 48, 'source_embedding_index': 9, 'source_hecke_orbit_code': 18020170979083176, 'source_is_minimal': False, 'source_label': '936.2.dg.e.829.9', 'source_level': 936, 'target_conrey_index': 205, 'target_dim': 48, 'target_embedding_index': 16, 'target_hecke_orbit_code': 4506073562087736, 'target_is_minimal': True, 'target_label': '312.2.bk.b.205.16', 'target_level': 312, 'twist_class_label': '312.2.bk.b.205.8', 'twist_class_level': 312, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 44866607
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 829, 'source_dim': 48, 'source_embedding_index': 9, 'source_hecke_orbit_code': 18020170979083176, 'source_is_minimal': False, 'source_label': '936.2.dg.e.829.9', 'source_level': 936, 'target_conrey_index': 829, 'target_dim': 48, 'target_embedding_index': 17, 'target_hecke_orbit_code': 18020170979083176, 'target_is_minimal': False, 'target_label': '936.2.dg.e.829.17', 'target_level': 936, 'twist_class_label': '312.2.bk.b.205.8', 'twist_class_level': 312, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 44866608
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 829, 'source_dim': 48, 'source_embedding_index': 9, 'source_hecke_orbit_code': 18020170979083176, 'source_is_minimal': False, 'source_label': '936.2.dg.e.829.9', 'source_level': 936, 'target_conrey_index': 49, 'target_dim': 48, 'target_embedding_index': 15, 'target_hecke_orbit_code': 4507173073716448, 'target_is_minimal': False, 'target_label': '1248.2.ca.b.49.15', 'target_level': 1248, 'twist_class_label': '312.2.bk.b.205.8', 'twist_class_level': 312, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 44866609
    {'conductor': 13, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 829, 'source_dim': 48, 'source_embedding_index': 9, 'source_hecke_orbit_code': 18020170979083176, 'source_is_minimal': False, 'source_label': '936.2.dg.e.829.9', 'source_level': 936, 'target_conrey_index': 901, 'target_dim': 48, 'target_embedding_index': 17, 'target_hecke_orbit_code': 18020170979083176, 'target_is_minimal': False, 'target_label': '936.2.dg.e.901.17', 'target_level': 936, 'twist_class_label': '312.2.bk.b.205.8', 'twist_class_level': 312, 'twisting_char_label': '13.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 44866610
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 829, 'source_dim': 48, 'source_embedding_index': 9, 'source_hecke_orbit_code': 18020170979083176, 'source_is_minimal': False, 'source_label': '936.2.dg.e.829.9', 'source_level': 936, 'target_conrey_index': 205, 'target_dim': 48, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4506073562087736, 'target_is_minimal': True, 'target_label': '312.2.bk.b.205.8', 'target_level': 312, 'twist_class_label': '312.2.bk.b.205.8', 'twist_class_level': 312, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 44866611
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 829, 'source_dim': 48, 'source_embedding_index': 9, 'source_hecke_orbit_code': 18020170979083176, 'source_is_minimal': False, 'source_label': '936.2.dg.e.829.9', 'source_level': 936, 'target_conrey_index': 49, 'target_dim': 48, 'target_embedding_index': 10, 'target_hecke_orbit_code': 4507173073716448, 'target_is_minimal': False, 'target_label': '1248.2.ca.b.49.10', 'target_level': 1248, 'twist_class_label': '312.2.bk.b.205.8', 'twist_class_level': 312, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 44866612
    {'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 829, 'source_dim': 48, 'source_embedding_index': 9, 'source_hecke_orbit_code': 18020170979083176, 'source_is_minimal': False, 'source_label': '936.2.dg.e.829.9', 'source_level': 936, 'target_conrey_index': 277, 'target_dim': 48, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4506073562087736, 'target_is_minimal': True, 'target_label': '312.2.bk.b.277.8', 'target_level': 312, 'twist_class_label': '312.2.bk.b.205.8', 'twist_class_level': 312, 'twisting_char_label': '39.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 44866613
    {'conductor': 104, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 829, 'source_dim': 48, 'source_embedding_index': 9, 'source_hecke_orbit_code': 18020170979083176, 'source_is_minimal': False, 'source_label': '936.2.dg.e.829.9', 'source_level': 936, 'target_conrey_index': 901, 'target_dim': 48, 'target_embedding_index': 9, 'target_hecke_orbit_code': 18020170979083176, 'target_is_minimal': False, 'target_label': '936.2.dg.e.901.9', 'target_level': 936, 'twist_class_label': '312.2.bk.b.205.8', 'twist_class_level': 312, 'twisting_char_label': '104.69', 'twisting_conrey_index': 69, 'weight': 2}
  • id: 44866614
    {'conductor': 156, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 829, 'source_dim': 48, 'source_embedding_index': 9, 'source_hecke_orbit_code': 18020170979083176, 'source_is_minimal': False, 'source_label': '936.2.dg.e.829.9', 'source_level': 936, 'target_conrey_index': 433, 'target_dim': 48, 'target_embedding_index': 10, 'target_hecke_orbit_code': 4507173073716448, 'target_is_minimal': False, 'target_label': '1248.2.ca.b.433.10', 'target_level': 1248, 'twist_class_label': '312.2.bk.b.205.8', 'twist_class_level': 312, 'twisting_char_label': '156.95', 'twisting_conrey_index': 95, 'weight': 2}
  • id: 44866615
    {'conductor': 312, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 829, 'source_dim': 48, 'source_embedding_index': 9, 'source_hecke_orbit_code': 18020170979083176, 'source_is_minimal': False, 'source_label': '936.2.dg.e.829.9', 'source_level': 936, 'target_conrey_index': 277, 'target_dim': 48, 'target_embedding_index': 16, 'target_hecke_orbit_code': 4506073562087736, 'target_is_minimal': True, 'target_label': '312.2.bk.b.277.16', 'target_level': 312, 'twist_class_label': '312.2.bk.b.205.8', 'twist_class_level': 312, 'twisting_char_label': '312.173', 'twisting_conrey_index': 173, 'weight': 2}
  • id: 44866616
    {'conductor': 312, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 829, 'source_dim': 48, 'source_embedding_index': 9, 'source_hecke_orbit_code': 18020170979083176, 'source_is_minimal': False, 'source_label': '936.2.dg.e.829.9', 'source_level': 936, 'target_conrey_index': 433, 'target_dim': 48, 'target_embedding_index': 15, 'target_hecke_orbit_code': 4507173073716448, 'target_is_minimal': False, 'target_label': '1248.2.ca.b.433.15', 'target_level': 1248, 'twist_class_label': '312.2.bk.b.205.8', 'twist_class_level': 312, 'twisting_char_label': '312.251', 'twisting_conrey_index': 251, 'weight': 2}
• hecke_orbit_code 18020170979083176 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': 85, 'hecke_orbit': 5, 'label': '936.2.dg.e', 'level': 936, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 41758567
    {'hecke_orbit_code': 18020170979083176, 'n': 1, 'trace_an': 48}
  • id: 41758568
    {'hecke_orbit_code': 18020170979083176, 'n': 2, 'trace_an': 0}
  • id: 41758569
    {'hecke_orbit_code': 18020170979083176, 'n': 3, 'trace_an': 0}
  • id: 41758570
    {'hecke_orbit_code': 18020170979083176, 'n': 4, 'trace_an': -2}
  • id: 41758571
    {'hecke_orbit_code': 18020170979083176, 'n': 5, 'trace_an': 0}
  • id: 41758572
    {'hecke_orbit_code': 18020170979083176, 'n': 6, 'trace_an': 0}
  • id: 41758573
    {'hecke_orbit_code': 18020170979083176, 'n': 7, 'trace_an': -12}
  • id: 41758574
    {'hecke_orbit_code': 18020170979083176, 'n': 8, 'trace_an': 0}
  • id: 41758575
    {'hecke_orbit_code': 18020170979083176, 'n': 9, 'trace_an': 0}
  • id: 41758576
    {'hecke_orbit_code': 18020170979083176, 'n': 10, 'trace_an': -4}
  • id: 41758577
    {'hecke_orbit_code': 18020170979083176, 'n': 11, 'trace_an': 0}
  • id: 41758578
    {'hecke_orbit_code': 18020170979083176, 'n': 12, 'trace_an': 0}
  • id: 41758579
    {'hecke_orbit_code': 18020170979083176, 'n': 13, 'trace_an': 0}
  • id: 41758580
    {'hecke_orbit_code': 18020170979083176, 'n': 14, 'trace_an': 36}
  • id: 41758581
    {'hecke_orbit_code': 18020170979083176, 'n': 15, 'trace_an': 0}
  • id: 41758582
    {'hecke_orbit_code': 18020170979083176, 'n': 16, 'trace_an': -2}
  • id: 41758583
    {'hecke_orbit_code': 18020170979083176, 'n': 17, 'trace_an': -12}
  • id: 41758584
    {'hecke_orbit_code': 18020170979083176, 'n': 18, 'trace_an': 0}
  • id: 41758585
    {'hecke_orbit_code': 18020170979083176, 'n': 19, 'trace_an': 0}
  • id: 41758586
    {'hecke_orbit_code': 18020170979083176, 'n': 20, 'trace_an': -54}
  • id: 41758587
    {'hecke_orbit_code': 18020170979083176, 'n': 21, 'trace_an': 0}
  • id: 41758588
    {'hecke_orbit_code': 18020170979083176, 'n': 22, 'trace_an': -14}
  • id: 41758589
    {'hecke_orbit_code': 18020170979083176, 'n': 23, 'trace_an': -20}
  • id: 41758590
    {'hecke_orbit_code': 18020170979083176, 'n': 24, 'trace_an': 0}
  • id: 41758591
    {'hecke_orbit_code': 18020170979083176, 'n': 25, 'trace_an': 48}
  • id: 41758592
    {'hecke_orbit_code': 18020170979083176, 'n': 26, 'trace_an': 42}
  • id: 41758593
    {'hecke_orbit_code': 18020170979083176, 'n': 27, 'trace_an': 0}
  • id: 41758594
    {'hecke_orbit_code': 18020170979083176, 'n': 28, 'trace_an': 6}
  • id: 41758595
    {'hecke_orbit_code': 18020170979083176, 'n': 29, 'trace_an': 0}
  • id: 41758596
    {'hecke_orbit_code': 18020170979083176, 'n': 30, 'trace_an': 0}
  • id: 41758597
    {'hecke_orbit_code': 18020170979083176, 'n': 31, 'trace_an': 0}
  • id: 41758598
    {'hecke_orbit_code': 18020170979083176, 'n': 32, 'trace_an': 0}
  • id: 41758599
    {'hecke_orbit_code': 18020170979083176, 'n': 33, 'trace_an': 0}
  • id: 41758600
    {'hecke_orbit_code': 18020170979083176, 'n': 34, 'trace_an': 0}
  • id: 41758601
    {'hecke_orbit_code': 18020170979083176, 'n': 35, 'trace_an': 0}
  • id: 41758602
    {'hecke_orbit_code': 18020170979083176, 'n': 36, 'trace_an': 0}
  • id: 41758603
    {'hecke_orbit_code': 18020170979083176, 'n': 37, 'trace_an': 0}
  • id: 41758604
    {'hecke_orbit_code': 18020170979083176, 'n': 38, 'trace_an': 28}
  • id: 41758605
    {'hecke_orbit_code': 18020170979083176, 'n': 39, 'trace_an': 0}
  • id: 41758606
    {'hecke_orbit_code': 18020170979083176, 'n': 40, 'trace_an': -8}
  • id: 41758607
    {'hecke_orbit_code': 18020170979083176, 'n': 41, 'trace_an': 12}
  • id: 41758608
    {'hecke_orbit_code': 18020170979083176, 'n': 42, 'trace_an': 0}
  • id: 41758609
    {'hecke_orbit_code': 18020170979083176, 'n': 43, 'trace_an': 0}
  • id: 41758610
    {'hecke_orbit_code': 18020170979083176, 'n': 44, 'trace_an': 0}
  • id: 41758611
    {'hecke_orbit_code': 18020170979083176, 'n': 45, 'trace_an': 0}
  • id: 41758612
    {'hecke_orbit_code': 18020170979083176, 'n': 46, 'trace_an': -30}
  • id: 41758613
    {'hecke_orbit_code': 18020170979083176, 'n': 47, 'trace_an': 0}
  • id: 41758614
    {'hecke_orbit_code': 18020170979083176, 'n': 48, 'trace_an': 0}
  • id: 41758615
    {'hecke_orbit_code': 18020170979083176, 'n': 49, 'trace_an': 16}
  • id: 41758616
    {'hecke_orbit_code': 18020170979083176, 'n': 50, 'trace_an': 84}
  • id: 41758617
    {'hecke_orbit_code': 18020170979083176, 'n': 51, 'trace_an': 0}
  • id: 41758618
    {'hecke_orbit_code': 18020170979083176, 'n': 52, 'trace_an': -28}
  • id: 41758619
    {'hecke_orbit_code': 18020170979083176, 'n': 53, 'trace_an': 0}
  • id: 41758620
    {'hecke_orbit_code': 18020170979083176, 'n': 54, 'trace_an': 0}
  • id: 41758621
    {'hecke_orbit_code': 18020170979083176, 'n': 55, 'trace_an': -68}
  • id: 41758622
    {'hecke_orbit_code': 18020170979083176, 'n': 56, 'trace_an': -18}
  • id: 41758623
    {'hecke_orbit_code': 18020170979083176, 'n': 57, 'trace_an': 0}
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  • id: 41758818
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  • id: 41758821
    {'hecke_orbit_code': 18020170979083176, 'n': 977, 'trace_an': -84}
  • id: 41758822
    {'hecke_orbit_code': 18020170979083176, 'n': 983, 'trace_an': 0}
  • id: 41758823
    {'hecke_orbit_code': 18020170979083176, 'n': 991, 'trace_an': 284}
  • id: 41758824
    {'hecke_orbit_code': 18020170979083176, 'n': 997, 'trace_an': 0}