Embedded newform data - 441.2.w.a.251.4

Formats: - HTML - YAML - JSON - 2025-10-26T20:16:17.837589

• 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': 1764, 'analytic_conductor': 3.521402729138465, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 147, 'char_degree': 6, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 23, 'char_orbit_label': 'w', 'char_order': 14, 'char_parity': 1, 'char_values': [441, 14, [344, 199], [7, 11]], 'cm_discs': [], 'conrey_index': 62, 'dim': 120, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 1511862043065, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 49, 6, -1, 14, 0], [1, 1, 147, 11, 1, 14, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '441.2.w.a', 'level': 441, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'minimal_twist': '441.2.w.a', 'prim_orbit_index': 11, 'related_objects': [], 'relative_dim': 20, 'rm_discs': [], 'sato_tate_group': '1.2.3.c14', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '441.2.w', 'trace_display': [0, 0, 0, 0], 'traces': [120, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -44, 0, 0, -4, 0, 0, -56, 0, 0, 0, 0, 0, 112, 0, 0, -76, 0, 0, 28, 0, 0, 8, 0, 0, -40, 0, 0, -84, 0, 0, -140, 0, 0, 0, 0, 0, 12, 0, 0, -84, 0, 0, 24, 0, 0, 16, 0, 0, 112, 0, 0, 0, 0, 0, -84, 0, 0, -24, 0, 0, 140, 0, 0, -96, 0, 0, -24, 0, 0, -112, 0, 0, -112, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, -112, 0, 0, 92, 0, 0, -56, 0, 0, 0, 0, 0, 56, 0, 0, 60, 0, 0, 196, 0, 0, -36, 0, 0, -32, 0, 0, 112, 0, 0, 224, 0, 0, 196, 0, 0, -68, 0, 0, 112, 0, 0, 504, 0, 0, 120, 0, 0, -28, 0, 0, 112, 0, 0, -56, 0, 0, 92, 0, 0, 0, 0, 0, -44, 0, 0, 56, 0, 0, -196, 0, 0, 0, 0, 0, -28, 0, 0, -488, 0, 0, 28, 0, 0, 48, 0, 0, -144, 0, 0, -28, 0, 0, -532, 0, 0, -168, 0, 0, 144, 0, 0, -896, 0, 0, 64, 0, 0, -264, 0, 0, -196, 0, 0, -84, 0, 0, -140, 0, 0, -80, 0, 0, -56, 0, 0, -8, 0, 0, -40, 0, 0, 168, 0, 0, 56, 0, 0, 0, 0, 0, 180, 0, 0, -140, 0, 0, 68, 0, 0, 144, 0, 0, 112, 0, 0, 56, 0, 0, -84, 0, 0, 212, 0, 0, 644, 0, 0, -180, 0, 0, -176, 0, 0, 784, 0, 0, -84, 0, 0, 784, 0, 0, 204, 0, 0, -140, 0, 0, -40, 0, 0, 420, 0, 0, 56, 0, 0, 1036, 0, 0, 0, 0, 0, 568, 0, 0, 0, 0, 0, -396, 0, 0, 340, 0, 0, -616, 0, 0, 0, 0, 0, -84, 0, 0, -228, 0, 0, -168, 0, 0, 12, 0, 0, -616, 0, 0, 84, 0, 0, -196, 0, 0, 252, 0, 0, -40, 0, 0, -308, 0, 0, 108, 0, 0, -328, 0, 0, 28, 0, 0, 28, 0, 0, -756, 0, 0, 88, 0, 0, 224, 0, 0, -140, 0, 0, 220, 0, 0, 140, 0, 0, 420, 0, 0, 0, 0, 0, -16, 0, 0, -168, 0, 0, 44, 0, 0, 212, 0, 0, -84, 0, 0, 84, 0, 0, -252, 0, 0, -60, 0, 0, 84, 0, 0, -248, 0, 0, 48, 0, 0, 140, 0, 0, -336, 0, 0, -196, 0, 0, -140, 0, 0, -84, 0, 0, 944, 0, 0, 40, 0, 0, 280, 0, 0, 112, 0, 0, -924, 0, 0, -40, 0, 0, 0, 0, 0, -396, 0, 0, -176, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, -300, 0, 0, 168, 0, 0, -124, 0, 0, 4, 0, 0, 28, 0, 0, -896, 0, 0, 28, 0, 0, -80, 0, 0, -840, 0, 0, 392, 0, 0, -1112, 0, 0, -616, 0, 0, 28, 0, 0, 84, 0, 0, -848, 0, 0, -196, 0, 0, -256, 0, 0, -100, 0, 0, -476, 0, 0, -196, 0, 0, 0, 0, 0, 132, 0, 0, 504, 0, 0, -56, 0, 0, 876, 0, 0, 168, 0, 0, 616, 0, 0, 420, 0, 0, 296, 0, 0, 952, 0, 0, -580, 0, 0, 100, 0, 0, 1008, 0, 0, -28, 0, 0, 1036, 0, 0, 320, 0, 0, 168, 0, 0, 256, 0, 0, 108, 0, 0, 700, 0, 0, 756, 0, 0, 168, 0, 0, 252, 0, 0, 0, 0, 0, -40, 0, 0, 292, 0, 0, -672, 0, 0, 0, 0, 0, 588, 0, 0, -432, 0, 0, 1204, 0, 0, 0, 0, 0, -28, 0, 0, 84, 0, 0, -1344, 0, 0, 0, 0, 0, 96, 0, 0, -532, 0, 0, 536, 0, 0, 64, 0, 0, -252, 0, 0, 168, 0, 0, -1008, 0, 0, -312, 0, 0, -476, 0, 0, 140, 0, 0, 144, 0, 0, 0, 0, 0, -420, 0, 0, 0, 0, 0, 304, 0, 0, 112, 0, 0, -408, 0, 0, 92, 0, 0, 28, 0, 0, 280, 0, 0, 644, 0, 0, 208, 0, 0, 868, 0, 0, 192, 0, 0, 304, 0, 0, 448, 0, 0, 168, 0, 0, 924, 0, 0, 204, 0, 0, -84, 0, 0, -200, 0, 0, -348, 0, 0, -196, 0, 0, 448, 0, 0, -840, 0, 0, 160, 0, 0, 0, 0, 0, -324, 0, 0, 1020, 0, 0, -308, 0, 0, 0, 0, 0, 56, 0, 0, -140, 0, 0, -392, 0, 0, -708, 0, 0, -480, 0, 0, 784, 0, 0, -224, 0, 0, -840, 0, 0, -108, 0, 0, 224, 0, 0, 256, 0, 0, -720, 0, 0, -784, 0, 0, -392, 0, 0, -392, 0, 0, -240, 0, 0, -224, 0, 0, -308, 0, 0, -168, 0, 0, -476, 0, 0, -56, 0, 0, 0, 0, 0, -556, 0, 0, -168, 0, 0, 12, 0, 0, 616, 0, 0, -504, 0, 0, 588, 0, 0, -56, 0, 0, 552, 0, 0, 224, 0, 0, -172, 0, 0, -80, 0, 0, 196, 0, 0, -56, 0, 0, 280, 0, 0, 108, 0, 0, -1008, 0, 0, 248, 0, 0, -92, 0, 0, 336, 0, 0, 56, 0, 0, -1008, 0, 0, 804, 0, 0, 0, 0, 0, -1004, 0, 0, 184, 0, 0, -392, 0, 0, 0, 0, 0, 1064, 0, 0, -108, 0, 0, 812, 0, 0, -356, 0, 0, 48, 0, 0, 252, 0, 0, -280, 0, 0, -84, 0, 0, -728, 0, 0, -364, 0, 0, 96, 0, 0, -432, 0, 0, -1316, 0, 0, 728, 0, 0, 308, 0, 0, -512, 0, 0, 0, 0, 0, -424, 0, 0, 76, 0, 0, -168, 0, 0, -812, 0, 0, 0, 0, 0, 504, 0, 0, 308, 0, 0, -28, 0, 0, 28, 0, 0, 252, 0, 0, 644, 0, 0, 1372], '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], [-1.1428727903873668, -0.9114106372117027], [0.0, 0.0], [0.2529679314288496, 1.1083249240959097], [-1.7579813897468894, -0.8465992176380877], [0.0, 0.0], [-0.7646926795382702, 0.6443951472975106], [0.08678241067040082, -0.18020553260321476], [0.0, 0.0], [1.23754956393863, 2.56979814883733], [0.9586844473974833, 0.7645253351349257], [0.0, 0.0], [-0.2984643010074422, -0.23801733758482282], [1.4612550482672484, -0.03951263777488497], [0.0, 0.0], [0.7608237487669652, -0.3663934067921662], [0.00013368024368277248, -0.0005856914158880399], [0.0, 0.0], [0.0, -1.1118841507427117], [0.4935940979737052, -2.1625770431884326], [0.0, 0.0], [-0.39885784663831925, -1.7475104061749787], [0.22555874343352617, -0.051482311280344424], [0.0, 0.0], [1.750278529532249, 2.1947798558960394], [0.1241751952077741, 0.5440470775322767], [0.0, 0.0], [-0.9076419280378664, -0.684516648571311], [0.2943738426094633, 0.06718890860676308], [0.0, 0.0], [0.0, -0.5817149571045356], [-1.398457915838717, -0.31918889349943663], [0.0, 0.0], [-0.0006865848996813362, 0.0005475331867043605], [1.8898599270558138, -0.48544645236155676], [0.0, 0.0], [-0.3463903370749181, 1.5176352270330973], [-1.0133830423340078, 1.2707421419468106], [0.0, 0.0], [-0.305123725831873, 0.2433280516675693], [1.1887016263820733, 0.5724485326008363], [0.0, 0.0], [-0.06429480024062356, 0.03096274391718449], [-0.6048260624816653, 1.255934259947775], [0.0, 0.0], [-0.3047064766332921, -0.1467389053328628], [-0.22055528459150575, 0.2765675791396583], [0.0, 0.0], [0.1695097882788392, -0.9855285037367834], [0.0, -4.103576648092838], [0.0, 0.0], [0.18829865078099908, -0.3910061772924469], [0.9359704535535546, -0.21362914824558776], [0.0, 0.0], [-1.0381028665748313, -2.1556428142857147], [0.04976169657333555, 0.1937240159007594], [0.0, 0.0], [-0.27519516891328005, -0.3450838269336415], [-0.9638687163059514, 0.46417470963554053], [0.0, 0.0], [1.8651973421151666, 0.42571912178763877], [-0.5301811997302232, 0.6648261962361279], [0.0, 0.0], [0.7808409774258342, 0.9791436157137748], [0.32318939489128556, 0.6711096936370207], [0.0, 0.0], [1.4394624123931867, 0.0], [0.0006829532087750732, 0.0], [0.0, 0.0], [-2.60231054875455, -1.167634898764701], [-0.5205710560895361, 0.11881694650882535], [0.0, 0.0], [-0.5084663463996558, 0.4054883803959879], [1.7790689804211943, -1.418760168872053], [0.0, 0.0], [1.2323289169753608, -0.28127103360190703], [-1.2257553948589965, 0.033144678593313416], [0.0, 0.0], [-1.1316179928134675, 0.0], [-1.6477023627477891, 0.0], [0.0, 0.0], [-0.8367990628126489, -1.737631158562144], [1.1503629125877939, 1.4425094663032414], [0.0, 0.0], [-0.0007308532750393016, 0.0009164610195501756], [0.10170055192178366, 0.023212487318023743], [0.0, 0.0], [0.22096864262401522, -0.10641288984007716], [0.41625555151450305, 0.5219679519311012], [0.0, 0.0], [0.381610683396231, -0.010318831556436064], [0.11411825748413947, 0.23696900340536678], [0.0, 0.0], [0.5041332670715479, -0.11506512843206747], [-0.9413202521229693, 1.9546716445602121], [0.0, 0.0], [0.0, 0.29621130001946255], [-1.0919492863092464, 0.9718406869231064], [0.0, 0.0], [-1.9897648781531079, 2.49508623847826], [0.8211312182640672, 0.39543595342647975], [0.0, 0.0], [-0.12453061250430933, 0.25859048139345686], [-0.06879349262875413, 0.0331291999891308], [0.0, 0.0], [-1.2643990421023847, -0.6089024867210603], [1.074348931068388, -0.8567646829012956], [0.0, 0.0], [-0.47483143698733615, 0.5954197890575069], [-0.7782562711374696, 3.4097635133574533], [0.0, 0.0], [-0.34569421776228765, 0.7704494876591897], [-1.094817196854908, 0.8730875801826176], [0.0, 0.0], [-0.44011295770297243, -0.10045291059025153], [0.0, 0.3432585059911696], [0.0, 0.0], [1.524633097258157, 0.3479875552884171], [0.0002751924024689528, 0.0005340168385167159], [0.0, 0.0], [0.11205594766233298, 0.49094918468858034], [-1.743678354944582, -2.186503498741456], [0.0, 0.0], [0.6447291856783398, -0.14715522937995637], [-0.7846726259194542, -3.437875400451394], [0.0, 0.0], [-0.3260728826294509, 1.4286186428799075], [0.0, -0.39628150222470376], [0.0, 0.0], [0.24229214795365944, -1.0615512605608837], [0.319712911485252, -0.15396562347635537], [0.0, 0.0], [0.7164927510956172, 0.8502496705675782], [-1.6451224239095317, -1.311941354521569], [0.0, 0.0], [-9.394373973543757e-05, -7.491763249110596e-05], [-0.1947753771352847, -0.40445523814686496], [0.0, 0.0], [-0.17781281144162003, 0.36923210754320634], [1.0161063589038368, 1.9717764753326594], [0.0, 0.0], [0.703237524397104, 0.33866134274268545], [-0.1041627986942364, -0.4563670395070522], [0.0, 0.0], [-0.46062165947527384, -0.3673335157743833], [0.9506787752864927, 0.0], [0.0, 0.0], [-1.76965859484352, 0.0], [-0.6806964722522557, -0.5428373225273037], [0.0, 0.0], [0.13215308957406716, 0.5790005165631598], [-0.2003676755776635, -0.09649198698766386], [0.0, 0.0], [1.4310909010917787, 1.0792863541836877], [-0.4924794275730736, 1.0226440687271836], [0.0, 0.0], [-0.4529089648040188, -0.9404751561149723], [1.2932954130992786, 1.0313686759103504], [0.0, 0.0], [2.188237922873296, 1.74506151203476], [-0.13930816834875448, 0.1847171062608784], [0.0, 0.0], [-0.027263758557084804, 0.013129534134388611], [-0.3337555849316544, 1.4622787609741097], [0.0, 0.0], [0.0, -2.697057814100528], [0.12478169797379389, -0.5467043397722611], [0.0, 0.0], [-0.19009224797142085, -0.8328485556020105], [0.0016705446436158246, -0.00038129091358273063], [0.0, 0.0], [-0.050581303420316234, -0.06342694831635942], [-0.048430386467955736, -0.21218738716345878], [0.0, 0.0], [-2.7527306672120564, -0.5504610981521573], [1.0095069372725478, 0.23041337078404545], [0.0, 0.0], [0.0, -0.9759227071650186], [0.7846653485397012, 0.17909474538425935], [0.0, 0.0], [0.8622792489376719, -0.6876447548132992], [-0.4455371594188121, -0.3360109243065109], [0.0, 0.0], [0.010297134179028883, -0.04511469257354271], [1.8937765620320797, -2.374720697183461], [0.0, 0.0], 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-0.23092018403725528, -0.4579694133806222, -0.25101242631800946, 0.16022696726727953, -0.4415897850260981, -0.48377237777286763, -0.43272678131238873, -0.12927665647511474, 0.12908918755842774, -0.09188609404744374, -0.48583586115848604, -0.21518237603020124, -0.2930898120892641, -0.008439845134414667, -0.43149438748652913, -0.23208910909807343, 0.06264313072185894, -0.07769170235694371, 0.0017740284224739833, -0.49174067793010034, -0.17409286109985814, -0.32608546739492716, -0.1883119705348346, -0.1682959694626881, -0.17408644953256555, -0.3471083535035989, 0.08030538329769629, -0.2694441170947548, -0.40779550880444276, -0.4135926301135883, -0.3333195507715133, 0.0006245162016727581, -0.44436983956633175, -0.0005553913302341283, -0.21065874452008232, -0.338720488754271, -0.416495165421302, 0.04971658567900437, -0.359683200955094, 0.1913359006798952, -0.3293722830525072, 0.0674143386678653, -0.43344642143487255, -0.38695371454391236, -0.022658008651824994, -0.46520247270680143, -0.4467135812372267, -0.30047173202296595, -0.4303982458957993, -0.4373618875530587, -0.26290147594716945, -0.3656426884398608, -0.43697885806476583, -0.2718176259846576, -0.30319014218980195, -0.3486830802113845, -0.24801865434029832, -0.18244785645617598, -0.09626575685042997, -0.15469513878862648, -0.3909946072887759, -0.18464864471046957, -0.1824397817280541, -0.4213741905569207, -0.4771589988092672, -0.274732035966705, -0.3721813966194202, -0.2594127752397487, -0.08881455685006237, -0.03899111573636754, -0.14072533215263508, -0.369030221560829, -0.3126254998214351, -0.46369047183369105, -0.2127792357622628, -0.06805216914355623, -0.35821193565944764, -0.3275612849286849, -0.12209182222667793, -0.48042179283754516, -0.16855452197938905, 0.28333507159191257, -0.0908294825762294], 'char_orbit_index': 23, 'conrey_index': 251, 'dual_conrey_index': 188, 'dual_embedding_index': 4, 'dual_embedding_m': 44, 'embedding_index': 4, 'embedding_m': 64, 'hecke_orbit': 1, 'hecke_orbit_code': 1511862043065, 'label': '441.2.w.a.251.4', 'level': 441, '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': 1764, 'analytic_conductor': 3.521402729138465, 'char_conductor': 147, 'char_degree': 6, 'char_is_real': False, 'char_orbit_index': 23, 'char_orbit_label': 'w', 'char_order': 14, 'char_parity': 1, 'char_values': [441, 14, [344, 199], [7, 11]], 'conrey_index': 62, 'cusp_dim': 312, 'dim': 120, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 1511862043065, 'hecke_orbit_dims': [120], 'label': '441.2.w', 'level': 441, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'mf_dim': 360, 'mf_new_dim': 120, 'num_forms': 1, 'prim_orbit_index': 11, 'relative_dim': 20, 'sturm_bound': 112, 'trace_bound': 0, 'trace_display': [0, 0, 0, 0], 'traces': [120, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -44, 0, 0, -4, 0, 0, -56, 0, 0, 0, 0, 0, 112, 0, 0, -76, 0, 0, 28, 0, 0, 8, 0, 0, -40, 0, 0, -84, 0, 0, -140, 0, 0, 0, 0, 0, 12, 0, 0, -84, 0, 0, 24, 0, 0, 16, 0, 0, 112, 0, 0, 0, 0, 0, -84, 0, 0, -24, 0, 0, 140, 0, 0, -96, 0, 0, -24, 0, 0, -112, 0, 0, -112, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, -112, 0, 0, 92, 0, 0, -56, 0, 0, 0, 0, 0, 56, 0, 0, 60, 0, 0, 196, 0, 0, -36, 0, 0, -32, 0, 0, 112, 0, 0, 224, 0, 0, 196, 0, 0, -68, 0, 0, 112, 0, 0, 504, 0, 0, 120, 0, 0, -28, 0, 0, 112, 0, 0, -56, 0, 0, 92, 0, 0, 0, 0, 0, -44, 0, 0, 56, 0, 0, -196, 0, 0, 0, 0, 0, -28, 0, 0, -488, 0, 0, 28, 0, 0, 48, 0, 0, -144, 0, 0, -28, 0, 0, -532, 0, 0, -168, 0, 0, 144, 0, 0, -896, 0, 0, 64, 0, 0, -264, 0, 0, -196, 0, 0, -84, 0, 0, -140, 0, 0, -80, 0, 0, -56, 0, 0, -8, 0, 0, -40, 0, 0, 168, 0, 0, 56, 0, 0, 0, 0, 0, 180, 0, 0, -140, 0, 0, 68, 0, 0, 144, 0, 0, 112, 0, 0, 56, 0, 0, -84, 0, 0, 212, 0, 0, 644, 0, 0, -180, 0, 0, -176, 0, 0, 784, 0, 0, -84, 0, 0, 784, 0, 0, 204, 0, 0, -140, 0, 0, -40, 0, 0, 420, 0, 0, 56, 0, 0, 1036, 0, 0, 0, 0, 0, 568, 0, 0, 0, 0, 0, -396, 0, 0, 340, 0, 0, -616, 0, 0, 0, 0, 0, -84, 0, 0, -228, 0, 0, -168, 0, 0, 12, 0, 0, -616, 0, 0, 84, 0, 0, -196, 0, 0, 252, 0, 0, -40, 0, 0, -308, 0, 0, 108, 0, 0, -328, 0, 0, 28, 0, 0, 28, 0, 0, -756, 0, 0, 88, 0, 0, 224, 0, 0, -140, 0, 0, 220, 0, 0, 140, 0, 0, 420, 0, 0, 0, 0, 0, -16, 0, 0, -168, 0, 0, 44, 0, 0, 212, 0, 0, -84, 0, 0, 84, 0, 0, -252, 0, 0, -60, 0, 0, 84, 0, 0, -248, 0, 0, 48, 0, 0, 140, 0, 0, -336, 0, 0, -196, 0, 0, -140, 0, 0, -84, 0, 0, 944, 0, 0, 40, 0, 0, 280, 0, 0, 112, 0, 0, -924, 0, 0, -40, 0, 0, 0, 0, 0, -396, 0, 0, -176, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, -300, 0, 0, 168, 0, 0, -124, 0, 0, 4, 0, 0, 28, 0, 0, -896, 0, 0, 28, 0, 0, -80, 0, 0, -840, 0, 0, 392, 0, 0, -1112, 0, 0, -616, 0, 0, 28, 0, 0, 84, 0, 0, -848, 0, 0, -196, 0, 0, -256, 0, 0, -100, 0, 0, -476, 0, 0, -196, 0, 0, 0, 0, 0, 132, 0, 0, 504, 0, 0, -56, 0, 0, 876, 0, 0, 168, 0, 0, 616, 0, 0, 420, 0, 0, 296, 0, 0, 952, 0, 0, -580, 0, 0, 100, 0, 0, 1008, 0, 0, -28, 0, 0, 1036, 0, 0, 320, 0, 0, 168, 0, 0, 256, 0, 0, 108, 0, 0, 700, 0, 0, 756, 0, 0, 168, 0, 0, 252, 0, 0, 0, 0, 0, -40, 0, 0, 292, 0, 0, -672, 0, 0, 0, 0, 0, 588, 0, 0, -432, 0, 0, 1204, 0, 0, 0, 0, 0, -28, 0, 0, 84, 0, 0, -1344, 0, 0, 0, 0, 0, 96, 0, 0, -532, 0, 0, 536, 0, 0, 64, 0, 0, -252, 0, 0, 168, 0, 0, -1008, 0, 0, -312, 0, 0, -476, 0, 0, 140, 0, 0, 144, 0, 0, 0, 0, 0, -420, 0, 0, 0, 0, 0, 304, 0, 0, 112, 0, 0, -408, 0, 0, 92, 0, 0, 28, 0, 0, 280, 0, 0, 644, 0, 0, 208, 0, 0, 868, 0, 0, 192, 0, 0, 304, 0, 0, 448, 0, 0, 168, 0, 0, 924, 0, 0, 204, 0, 0, -84, 0, 0, -200, 0, 0, -348, 0, 0, -196, 0, 0, 448, 0, 0, -840, 0, 0, 160, 0, 0, 0, 0, 0, -324, 0, 0, 1020, 0, 0, -308, 0, 0, 0, 0, 0, 56, 0, 0, -140, 0, 0, -392, 0, 0, -708, 0, 0, -480, 0, 0, 784, 0, 0, -224, 0, 0, -840, 0, 0, -108, 0, 0, 224, 0, 0, 256, 0, 0, -720, 0, 0, -784, 0, 0, -392, 0, 0, -392, 0, 0, -240, 0, 0, -224, 0, 0, -308, 0, 0, -168, 0, 0, -476, 0, 0, -56, 0, 0, 0, 0, 0, -556, 0, 0, -168, 0, 0, 12, 0, 0, 616, 0, 0, -504, 0, 0, 588, 0, 0, -56, 0, 0, 552, 0, 0, 224, 0, 0, -172, 0, 0, -80, 0, 0, 196, 0, 0, -56, 0, 0, 280, 0, 0, 108, 0, 0, -1008, 0, 0, 248, 0, 0, -92, 0, 0, 336, 0, 0, 56, 0, 0, -1008, 0, 0, 804, 0, 0, 0, 0, 0, -1004, 0, 0, 184, 0, 0, -392, 0, 0, 0, 0, 0, 1064, 0, 0, -108, 0, 0, 812, 0, 0, -356, 0, 0, 48, 0, 0, 252, 0, 0, -280, 0, 0, -84, 0, 0, -728, 0, 0, -364, 0, 0, 96, 0, 0, -432, 0, 0, -1316, 0, 0, 728, 0, 0, 308, 0, 0, -512, 0, 0, 0, 0, 0, -424, 0, 0, 76, 0, 0, -168, 0, 0, -812, 0, 0, 0, 0, 0, 504, 0, 0, 308, 0, 0, -28, 0, 0, 28, 0, 0, 252, 0, 0, 644, 0, 0, 1372], '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: 17530925
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 251, 'source_dim': 120, 'source_embedding_index': 4, 'source_hecke_orbit_code': 1511862043065, 'source_is_minimal': True, 'source_label': '441.2.w.a.251.4', 'source_level': 441, 'target_conrey_index': 251, 'target_dim': 120, 'target_embedding_index': 4, 'target_hecke_orbit_code': 1511862043065, 'target_is_minimal': True, 'target_label': '441.2.w.a.251.4', 'target_level': 441, 'twist_class_label': '441.2.w.a.188.4', 'twist_class_level': 441, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 17530926
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 251, 'source_dim': 120, 'source_embedding_index': 4, 'source_hecke_orbit_code': 1511862043065, 'source_is_minimal': True, 'source_label': '441.2.w.a.251.4', 'source_level': 441, 'target_conrey_index': 251, 'target_dim': 120, 'target_embedding_index': 17, 'target_hecke_orbit_code': 1511862043065, 'target_is_minimal': True, 'target_label': '441.2.w.a.251.17', 'target_level': 441, 'twist_class_label': '441.2.w.a.188.4', 'twist_class_level': 441, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 17530927
    {'conductor': 49, 'degree': 6, 'order': 14, 'parity': -1, 'source_conrey_index': 251, 'source_dim': 120, 'source_embedding_index': 4, 'source_hecke_orbit_code': 1511862043065, 'source_is_minimal': True, 'source_label': '441.2.w.a.251.4', 'source_level': 441, 'target_conrey_index': 188, 'target_dim': 120, 'target_embedding_index': 17, 'target_hecke_orbit_code': 1511862043065, 'target_is_minimal': True, 'target_label': '441.2.w.a.188.17', 'target_level': 441, 'twist_class_label': '441.2.w.a.188.4', 'twist_class_level': 441, 'twisting_char_label': '49.41', 'twisting_conrey_index': 41, 'weight': 2}
  • id: 17530928
    {'conductor': 147, 'degree': 6, 'order': 14, 'parity': 1, 'source_conrey_index': 251, 'source_dim': 120, 'source_embedding_index': 4, 'source_hecke_orbit_code': 1511862043065, 'source_is_minimal': True, 'source_label': '441.2.w.a.251.4', 'source_level': 441, 'target_conrey_index': 188, 'target_dim': 120, 'target_embedding_index': 4, 'target_hecke_orbit_code': 1511862043065, 'target_is_minimal': True, 'target_label': '441.2.w.a.188.4', 'target_level': 441, 'twist_class_label': '441.2.w.a.188.4', 'twist_class_level': 441, 'twisting_char_label': '147.41', 'twisting_conrey_index': 41, 'weight': 2}
• hecke_orbit_code 1511862043065 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': 23, 'hecke_orbit': 1, 'label': '441.2.w.a', 'level': 441, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 13176900
    {'hecke_orbit_code': 1511862043065, 'n': 1, 'trace_an': 120}
  • id: 13176901
    {'hecke_orbit_code': 1511862043065, 'n': 2, 'trace_an': 0}
  • id: 13176902
    {'hecke_orbit_code': 1511862043065, 'n': 3, 'trace_an': 0}
  • id: 13176903
    {'hecke_orbit_code': 1511862043065, 'n': 4, 'trace_an': 24}
  • id: 13176904
    {'hecke_orbit_code': 1511862043065, 'n': 5, 'trace_an': 0}
  • id: 13176905
    {'hecke_orbit_code': 1511862043065, 'n': 6, 'trace_an': 0}
  • id: 13176906
    {'hecke_orbit_code': 1511862043065, 'n': 7, 'trace_an': 0}
  • id: 13176907
    {'hecke_orbit_code': 1511862043065, 'n': 8, 'trace_an': 0}
  • id: 13176908
    {'hecke_orbit_code': 1511862043065, 'n': 9, 'trace_an': 0}
  • id: 13176909
    {'hecke_orbit_code': 1511862043065, 'n': 10, 'trace_an': 0}
  • id: 13176910
    {'hecke_orbit_code': 1511862043065, 'n': 11, 'trace_an': 0}
  • id: 13176911
    {'hecke_orbit_code': 1511862043065, 'n': 12, 'trace_an': 0}
  • id: 13176912
    {'hecke_orbit_code': 1511862043065, 'n': 13, 'trace_an': 0}
  • id: 13176913
    {'hecke_orbit_code': 1511862043065, 'n': 14, 'trace_an': 0}
  • id: 13176914
    {'hecke_orbit_code': 1511862043065, 'n': 15, 'trace_an': 0}
  • id: 13176915
    {'hecke_orbit_code': 1511862043065, 'n': 16, 'trace_an': -32}
  • id: 13176916
    {'hecke_orbit_code': 1511862043065, 'n': 17, 'trace_an': 0}
  • id: 13176917
    {'hecke_orbit_code': 1511862043065, 'n': 18, 'trace_an': 0}
  • id: 13176918
    {'hecke_orbit_code': 1511862043065, 'n': 19, 'trace_an': 0}
  • id: 13176919
    {'hecke_orbit_code': 1511862043065, 'n': 20, 'trace_an': 0}
  • id: 13176920
    {'hecke_orbit_code': 1511862043065, 'n': 21, 'trace_an': 0}
  • id: 13176921
    {'hecke_orbit_code': 1511862043065, 'n': 22, 'trace_an': -44}
  • id: 13176922
    {'hecke_orbit_code': 1511862043065, 'n': 23, 'trace_an': 0}
  • id: 13176923
    {'hecke_orbit_code': 1511862043065, 'n': 24, 'trace_an': 0}
  • id: 13176924
    {'hecke_orbit_code': 1511862043065, 'n': 25, 'trace_an': -4}
  • id: 13176925
    {'hecke_orbit_code': 1511862043065, 'n': 26, 'trace_an': 0}
  • id: 13176926
    {'hecke_orbit_code': 1511862043065, 'n': 27, 'trace_an': 0}
  • id: 13176927
    {'hecke_orbit_code': 1511862043065, 'n': 28, 'trace_an': -56}
  • id: 13176928
    {'hecke_orbit_code': 1511862043065, 'n': 29, 'trace_an': 0}
  • id: 13176929
    {'hecke_orbit_code': 1511862043065, 'n': 30, 'trace_an': 0}
  • id: 13176930
    {'hecke_orbit_code': 1511862043065, 'n': 31, 'trace_an': 0}
  • id: 13176931
    {'hecke_orbit_code': 1511862043065, 'n': 32, 'trace_an': 0}
  • id: 13176932
    {'hecke_orbit_code': 1511862043065, 'n': 33, 'trace_an': 0}
  • id: 13176933
    {'hecke_orbit_code': 1511862043065, 'n': 34, 'trace_an': 112}
  • id: 13176934
    {'hecke_orbit_code': 1511862043065, 'n': 35, 'trace_an': 0}
  • id: 13176935
    {'hecke_orbit_code': 1511862043065, 'n': 36, 'trace_an': 0}
  • id: 13176936
    {'hecke_orbit_code': 1511862043065, 'n': 37, 'trace_an': -76}
  • id: 13176937
    {'hecke_orbit_code': 1511862043065, 'n': 38, 'trace_an': 0}
  • id: 13176938
    {'hecke_orbit_code': 1511862043065, 'n': 39, 'trace_an': 0}
  • id: 13176939
    {'hecke_orbit_code': 1511862043065, 'n': 40, 'trace_an': 28}
  • id: 13176940
    {'hecke_orbit_code': 1511862043065, 'n': 41, 'trace_an': 0}
  • id: 13176941
    {'hecke_orbit_code': 1511862043065, 'n': 42, 'trace_an': 0}
  • id: 13176942
    {'hecke_orbit_code': 1511862043065, 'n': 43, 'trace_an': 8}
  • id: 13176943
    {'hecke_orbit_code': 1511862043065, 'n': 44, 'trace_an': 0}
  • id: 13176944
    {'hecke_orbit_code': 1511862043065, 'n': 45, 'trace_an': 0}
  • id: 13176945
    {'hecke_orbit_code': 1511862043065, 'n': 46, 'trace_an': -40}
  • id: 13176946
    {'hecke_orbit_code': 1511862043065, 'n': 47, 'trace_an': 0}
  • id: 13176947
    {'hecke_orbit_code': 1511862043065, 'n': 48, 'trace_an': 0}
  • id: 13176948
    {'hecke_orbit_code': 1511862043065, 'n': 49, 'trace_an': -84}
  • id: 13176949
    {'hecke_orbit_code': 1511862043065, 'n': 50, 'trace_an': 0}
  • id: 13176950
    {'hecke_orbit_code': 1511862043065, 'n': 51, 'trace_an': 0}
  • id: 13176951
    {'hecke_orbit_code': 1511862043065, 'n': 52, 'trace_an': -140}
  • id: 13176952
    {'hecke_orbit_code': 1511862043065, 'n': 53, 'trace_an': 0}
  • id: 13176953
    {'hecke_orbit_code': 1511862043065, 'n': 54, 'trace_an': 0}
  • id: 13176954
    {'hecke_orbit_code': 1511862043065, 'n': 55, 'trace_an': 0}
  • id: 13176955
    {'hecke_orbit_code': 1511862043065, 'n': 56, 'trace_an': 0}
  • id: 13176956
    {'hecke_orbit_code': 1511862043065, 'n': 57, 'trace_an': 0}
  • id: 13176957
    {'hecke_orbit_code': 1511862043065, 'n': 58, 'trace_an': 12}
  • id: 13176958
    {'hecke_orbit_code': 1511862043065, 'n': 59, 'trace_an': 0}
  • id: 13176959
    {'hecke_orbit_code': 1511862043065, 'n': 60, 'trace_an': 0}
  • id: 13176960
    {'hecke_orbit_code': 1511862043065, 'n': 61, 'trace_an': -84}
  • id: 13176961
    {'hecke_orbit_code': 1511862043065, 'n': 62, 'trace_an': 0}
  • id: 13176962
    {'hecke_orbit_code': 1511862043065, 'n': 63, 'trace_an': 0}
  • id: 13176963
    {'hecke_orbit_code': 1511862043065, 'n': 64, 'trace_an': 24}
  • id: 13176964
    {'hecke_orbit_code': 1511862043065, 'n': 65, 'trace_an': 0}
  • id: 13176965
    {'hecke_orbit_code': 1511862043065, 'n': 66, 'trace_an': 0}
  • id: 13176966
    {'hecke_orbit_code': 1511862043065, 'n': 67, 'trace_an': 16}
  • id: 13176967
    {'hecke_orbit_code': 1511862043065, 'n': 68, 'trace_an': 0}
  • id: 13176968
    {'hecke_orbit_code': 1511862043065, 'n': 69, 'trace_an': 0}
  • id: 13176969
    {'hecke_orbit_code': 1511862043065, 'n': 70, 'trace_an': 112}
  • id: 13176970
    {'hecke_orbit_code': 1511862043065, 'n': 71, 'trace_an': 0}
  • id: 13176971
    {'hecke_orbit_code': 1511862043065, 'n': 72, 'trace_an': 0}
  • id: 13176972
    {'hecke_orbit_code': 1511862043065, 'n': 73, 'trace_an': 0}
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  • id: 13177020
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  • id: 13177021
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  • id: 13177022
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  • id: 13177023
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  • id: 13177026
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  • id: 13177070
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  • id: 13177071
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  • id: 13177078
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  • id: 13177079
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  • id: 13177080
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  • id: 13177083
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  • id: 13177084
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  • id: 13177086
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  • id: 13177087
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  • id: 13177089
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  • id: 13177091
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  • id: 13177108
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  • id: 13177111
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  • id: 13177112
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  • id: 13177113
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  • id: 13177114
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  • id: 13177115
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  • id: 13177116
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  • id: 13177117
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  • id: 13177118
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  • id: 13177119
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  • id: 13177120
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  • id: 13177121
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  • id: 13177122
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  • id: 13177124
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  • id: 13177125
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  • id: 13177128
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  • id: 13177129
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  • id: 13177130
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  • id: 13177132
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  • id: 13177134
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