Embedded newform data - 50.22.b.c.49.1

Formats: - HTML - YAML - JSON - 2026-05-12T16:43:14.953268

• 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': 24200, 'analytic_conductor': 139.73867214353106, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [50, 2, [27], [1]], 'cm_discs': [], 'conrey_index': 49, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [3518387856, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007268343316530, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '50.22.b.c', 'level': 50, '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, 5], 'level_radical': 10, 'minimal_twist': '2.22.a.b', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q-512\\beta q^{2}+29658\\beta q^{3}-1048576 q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '21.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '50.22.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1934442717386467157, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.013', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.931', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.058', 'prec': 17}, {'__RealLiteral__': 0, 'data': '15.191', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.521', 'prec': 17}, {'__RealLiteral__': 0, 'data': '150.189', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.508', 'prec': 17}, 'traces': [2, 0, 0, -2097152, 0, 121479168, 0, 0, 13883930694, 0, -213535789896, 0, 0, -2923368103936, 0, 2199023255552, 0, 0, -22048111910920, 0, 169338381301824, 0, 0, -127380140064768, 0, -307508358090752, 0, 0, -4764741653216220, 0, -1757105914755776, 0, 0, 22945752555024384, 0, -14558356511391744, 0, 0, 17812661883311568, 0, -49225851891437676, 0, 0, 223908504425988096, 0, 265221828075307008, 0, 0, -2957997283555216434, 0, -1329150643118971056, 0, 0, 2114019178724966400, 0, 3065373632952795136, 0, 0, 5911908268967347560, 0, 15968300180105692444, 0, 0, -2305843009213693952, 0, -12970075047394443264, 0, 0, -15363181595815342272, 0, 17698034677866016464, 0, 0, -63754251994234925056, 0, 23119120995104849920, 0, 0, -67681219157273547040, 0, 22774606400085855282, 0, 0, -177564162511941402624, 0, -273174773684872159232, 0, 0, 82048113487384545420, 0, 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26654071114256181728107625570304, 0, 2238408153658941731159087775744, 0, 0, -25481693911632191047672977481872, 0, 27751446615177848553273779429244, 0, 0, 6500211884074682742288741826560, 0, 29166295539230105553692104359936, 0, 0, 11016371667151701851215005212968, 0, 36354729392701028869135481529264, 0, 0, -8447349314317151025870595190784, 0, -21508559758789075227091025264640, 0, 0, 102095957849084600224131814363872, 0, -40107302188948235308695978618174, 0, 0, -30756744965950868753058610806784, 0, 22456117526091573924837755191296, 0, 0, 14652631062979181939204165165760, 0, 82211852478080143798928654668344, 0, 0, 5026668283058211723864345657344, 0, 17557331723843803870826063724544, 0, 0, -8760104361502655068681294538160, 0, -28033476736621438393473556348020, 0, 0, 3135197954369427972729637699584, 0, -54665291481658593746457062154240, 0, 0, 34547764234905273859549986491328, 0, -47769105972653959209326521630016, 0, 0, -25868935039813376548506519601152, 0, 25403199450540384699241161818112, 0, 0, 64267020912683995990147608919200, 0], 'weight': 22, '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, -0.7071067811865476], [0.0, 0.5799608556834467], [-0.5, 0.0], [0.0, 0.0], [0.41009425387651777, 0.0], [0.0, -1.909959383208253], [0.0, 0.3535533905932738], [0.6636454058749244, 0.0], [0.0, 0.0], [-1.2411306079427702, 0.0], [0.0, -0.28998042784172334], [0.0, -0.30207986107589596], [-1.3505452316574316, 0.0], [0.0, 0.0], [0.25, 0.0], [0.0, 1.3479031216349584], [0.0, -0.46926816679745764], [-0.41250441292068013, 0.0], [0.0, 0.0], [1.1077016782060864, 0.0], [0.0, 0.8776118692145152], [0.0, 0.6518340359127629], [-0.20504712693825888, 0.0], [0.0, 0.0], [-0.21360271822665625, 0.0], [0.0, 0.964849213145056], [0.0, 0.9549796916041265], [-1.051551105598555, 0.0], [0.0, 0.0], [-0.19251747623013407, 0.0], [0.0, -0.1767766952966369], [0.0, -0.7198071693974054], [0.9531114376905949, 0.0], [0.0, 0.0], [-0.3318227029374622, 0.0], [0.0, -1.0642927400803845], [0.0, 0.29168466764558865], [0.1751944947143133, 0.0], [0.0, 0.0], [-0.2863734485998024, 0.0], [0.0, -0.7832633681912426], [0.0, -0.9412215368547692], [0.6205653039713851, 0.0], [0.0, 0.0], [0.46091626700211014, 0.0], [0.0, 0.5338969099728446], [0.0, 0.14499021392086167], [-2.6479448455052506, 0.0], [0.0, 0.0], [-0.7817310478017994, 0.0], [0.0, 0.15103993053794798], [0.0, -0.4666716611335141], [0.6822514214373737, 0.0], [0.0, 0.0], [0.6752726158287158, 0.0], [0.0, -0.23923641229067547], [0.0, 0.7435589175329496], [0.752924742130949, 0.0], [0.0, 0.0], [1.433063467418917, 0.0], [0.0, 0.13613041293924777], [0.0, -1.2675357700738614], [-0.125, 0.0], [0.0, 0.0], [-0.5089805306275993, 0.0], [0.0, -0.32418609559448824], [0.0, -0.6739515608174792], [-0.37803822523156044, 0.0], [0.0, 0.0], [0.32261338687322066, 0.0], [0.0, 0.23463408339872882], [0.0, 0.9990600215362525], [-0.7525686136784516, 0.0], [0.0, 0.0], [0.20625220646034007, 0.0], [0.0, 2.3705090504272577], [0.0, -0.1238812152390417], [-0.40211818988618375, 0.0], [0.0, 0.0], [0.10407063061381744, 0.0], [0.0, 0.2024966074566975], [0.0, 1.4446634412623793], [-0.5538508391030432, 0.0], [0.0, 0.0], [-0.6655441313088312, 0.0], [0.0, -0.6098584789978123], [0.0, -0.4388059346072576], [0.1394580327039118, 0.0], [0.0, 0.0], [-0.5769602651401531, 0.0], [0.0, -0.32591701795638145], [0.0, -0.11165260024844616], [0.37752212549634206, 0.0], [0.0, 0.0], [0.10252356346912944, 0.0], [0.0, 1.0018090910275], [0.0, 1.8723797564647278], [-0.8236706260519714, 0.0], [0.0, 0.0]], 'angles': [None, 0.04682440074933528, None, -0.29793826579946386, -0.3565484103487489, -0.47586889762849843, 0.11770218253559481, -0.2830633662443712, 0.05283650415342723, -0.3381124104776412, -0.26534381179902383, -0.4106928015627816, -0.2728674735465814, -0.42201680516746926, 0.04300767366204634, -0.46251792787739954, -0.188570207862075, -0.1228642462824125, -0.4740877635309112, -0.2242145846865835, 0.08324697397494349, -0.28221916347064796, 0.12846480188831413, -0.23889326953540693, 0.08349961754224657, -0.2068979292041159, -0.4589556409888475, 0.09949253549950282, -0.31696814071489804, 0.04056846491230768, -0.32353984010482656, -0.1804796024202271, 0.11385262306061707, -0.19623037106316388, -0.13481253389896672, -0.2926105221300806, 0.03236043502445461, 0.027065016676516757, 0.04929484591400195, 0.16977472680876754, -0.24063366048333407, -0.1155545308739959, -0.34081291037138434, -0.4726105909345699, 0.03246337631748378, -0.22029560700055326, -0.22705762721904274, -0.38816213467116367, -0.40530316572741365, -0.20908139502327378, -0.4917494416572218, -0.15817497077786255, -0.12328995142731507, -0.3307291245595106, 0.1813182358269842, -0.44487963125716523, -0.37606143333804865, -0.20885217152042204, 0.019403448230153955, -0.40547552979799945, 0.0011725724630980055, 0.05379179346881838, 0.12130772774360059, -0.09226409523991687, 0.11741926488955581, -0.3413185497403879, -0.27923061500298135, 0.04535311537342579, 0.10119118190543339, -0.2164109884211216, 0.08463222569520398, -0.19140131047178371, -0.4358909467329759, 0.1297134850798827, -0.11284363139494082, 0.05942637009108645, -0.25162470310402746, 0.021579542090769642, -0.1873550790433001, -0.29303034911763604, -0.2925844240769528, -0.2945686644457557, -0.3115871132370515, -0.3956018512082898, -0.24006142898594782, -0.49379515963680826, -0.32023603632156106, 0.03715416956502913, -0.13953506612352332, -0.44881414059038455, 0.10448486443013622, -0.14532887738741274, 0.011805507086589043, -0.0872658207370806, -0.16938685809626775, -0.36185747772253957, -0.31332198877397877, -0.3142750354740449, 0.08867205367947886, -0.26530694767255464], 'char_orbit_index': 2, 'conrey_index': 49, 'dual_conrey_index': 49, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 3, 'hecke_orbit_code': 9007268343316530, 'label': '50.22.b.c.49.1', 'level': 50, 'weight': 22}
• 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': 24200, 'analytic_conductor': 139.73867214353106, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [50, 2, [27], [1]], 'conrey_index': 49, 'cusp_dim': 152, 'dim': 32, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 69088575538, 'hecke_orbit_dims': [2, 2, 2, 4, 4, 4, 6, 8], 'label': '50.22.b', 'level': 50, '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, 5], 'level_radical': 10, 'mf_dim': 164, 'mf_new_dim': 32, 'num_forms': 8, 'prim_orbit_index': 2, 'relative_dim': 32, 'sturm_bound': 165, 'trace_bound': 6, 'trace_display': [0, 0, 0, 0], 'traces': [32, 0, 0, -33554432, 0, 340563968, 0, 0, -155571751486, 0, 251334301254, 0, 0, 1366826430464, 0, 35184372088832, 0, 0, -84567857658310, 0, 301477533664364, 0, 0, -357107203309568, 0, -1053707964649472, 0, 0, -1849807144850700, 0, -12439392818559236, 0, 0, 14858053903202304, 0, 163128804886183936, 0, 0, -43595682889725272, 0, -230570519944985046, 0, 0, -263543116271714304, 0, 672821726896631808, 0, 0, -3151324373307233304, 0, -2174412750698246946, 0, 0, -1111424065882818560, 0, -1433221391150219264, 0, 0, 15542243642589216600, 0, 25569497095826363464, 0, 0, -36893488147419103232, 0, 35748668481964087296, 0, 0, -136572317555961743892, 0, 12145824590195381784, 0, 0, -24028576300427739136, 0, 88675825911920066560, 0, 0, 42927810483386371820, 0, 1365673972759609635232, 0, 0, -316122106339644145664, 0, 1024481732876408086528, 0, 0, -444367294081951966230, 0, 3355865240204686962944, 0, 0, -1032571005570896265216, 0, 374454042817533575168, 0, 0, -3472672388511836862492, 0, 8432676919151104684224, 0, 0, 1104892882740284751872, 0, -2978295553165305864192, 0, 0, 1156419262437590234720, 0, -402327439877970613636, 0, 0, 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233499881189359856476702081835020, 0], 'weight': 22, '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: 40632443
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268343316530, 'source_is_minimal': False, 'source_label': '50.22.b.c.49.1', 'source_level': 50, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007268343316530, 'target_is_minimal': False, 'target_label': '50.22.b.c.49.1', 'target_level': 50, 'twist_class_label': '2.22.a.b.1.1', 'twist_class_level': 2, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 22}
  • id: 40632444
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268343316530, 'source_is_minimal': False, 'source_label': '50.22.b.c.49.1', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599996469250, 'target_is_minimal': True, 'target_label': '2.22.a.b.1.1', 'target_level': 2, 'twist_class_label': '2.22.a.b.1.1', 'twist_class_level': 2, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 22}
  • id: 40632445
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268343316530, 'source_is_minimal': False, 'source_label': '50.22.b.c.49.1', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 369098802, 'target_is_minimal': False, 'target_label': '50.22.a.a.1.1', 'target_level': 50, 'twist_class_label': '2.22.a.b.1.1', 'twist_class_level': 2, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 22}
  • id: 40632446
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268343316530, 'source_is_minimal': False, 'source_label': '50.22.b.c.49.1', 'source_level': 50, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268343316530, 'target_is_minimal': False, 'target_label': '50.22.b.c.49.2', 'target_level': 50, 'twist_class_label': '2.22.a.b.1.1', 'twist_class_level': 2, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 22}
  • id: 40632447
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268343316530, 'source_is_minimal': False, 'source_label': '50.22.b.c.49.1', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599996469266, 'target_is_minimal': False, 'target_label': '18.22.a.b.1.1', 'target_level': 18, 'twist_class_label': '2.22.a.b.1.1', 'twist_class_level': 2, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 22}
  • id: 40632448
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268343316530, 'source_is_minimal': False, 'source_label': '50.22.b.c.49.1', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599996469264, 'target_is_minimal': False, 'target_label': '16.22.a.b.1.1', 'target_level': 16, 'twist_class_label': '2.22.a.b.1.1', 'twist_class_level': 2, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 22}
  • id: 40632449
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268343316530, 'source_is_minimal': False, 'source_label': '50.22.b.c.49.1', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398878580800, 'target_is_minimal': False, 'target_label': '64.22.a.e.1.1', 'target_level': 64, 'twist_class_label': '2.22.a.b.1.1', 'twist_class_level': 2, 'twisting_char_label': '40.27', 'twisting_conrey_index': 27, 'weight': 22}
  • id: 40632450
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268343316530, 'source_is_minimal': False, 'source_label': '50.22.b.c.49.1', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199623839808, 'target_is_minimal': False, 'target_label': '64.22.a.c.1.1', 'target_level': 64, 'twist_class_label': '2.22.a.b.1.1', 'twist_class_level': 2, 'twisting_char_label': '40.37', 'twisting_conrey_index': 37, 'weight': 22}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 173225
    {'charpoly_factorization': [[[1048576, 0, 1], 1]], 'hecke_orbit_code': 9007268343316530, 'p': 2}
  • id: 173226
    {'charpoly_factorization': [[[3518387856, 0, 1], 1]], 'hecke_orbit_code': 9007268343316530, 'p': 3}
  • id: 173227
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007268343316530, 'p': 5}
  • id: 173228
    {'charpoly_factorization': [[[2037544505860892224, 0, 1], 1]], 'hecke_orbit_code': 9007268343316530, 'p': 7}
  • id: 173229
    {'charpoly_factorization': [[[106767894948, 1], 2]], 'hecke_orbit_code': 9007268343316530, 'p': 11}
  • id: 173230
    {'charpoly_factorization': [[[22545192312161960844676, 0, 1], 1]], 'hecke_orbit_code': 9007268343316530, 'p': 13}
  • id: 173231
    {'charpoly_factorization': [[[125529184416868220921898564, 0, 1], 1]], 'hecke_orbit_code': 9007268343316530, 'p': 17}
  • id: 173232
    {'charpoly_factorization': [[[11024055955460, 1], 2]], 'hecke_orbit_code': 9007268343316530, 'p': 19}
  • id: 173233
    {'charpoly_factorization': [[[16770987054731299555686090816, 0, 1], 1]], 'hecke_orbit_code': 9007268343316530, 'p': 23}
  • id: 173234
    {'charpoly_factorization': [[[2382370826608110, 1], 2]], 'hecke_orbit_code': 9007268343316530, 'p': 29}
  • id: 173235
    {'charpoly_factorization': [[[878552957377888, 1], 2]], 'hecke_orbit_code': 9007268343316530, 'p': 31}
  • id: 173236
    {'charpoly_factorization': [[[969077264629461269015291288640484, 0, 1], 1]], 'hecke_orbit_code': 9007268343316530, 'p': 37}
  • id: 173237
    {'charpoly_factorization': [[[24612925945718838, 1], 2]], 'hecke_orbit_code': 9007268343316530, 'p': 41}
  • id: 173238
    {'charpoly_factorization': [[[17791856998868256266949840346122256, 0, 1], 1]], 'hecke_orbit_code': 9007268343316530, 'p': 43}
  • id: 173239
    {'charpoly_factorization': [[[37065497293709820665989988383736064, 0, 1], 1]], 'hecke_orbit_code': 9007268343316530, 'p': 47}
  • id: 173240
    {'charpoly_factorization': [[[353033663511132376904569477112760996, 0, 1], 1]], 'hecke_orbit_code': 9007268343316530, 'p': 53}
  • id: 173241
    {'charpoly_factorization': [[[-2955954134483673780, 1], 2]], 'hecke_orbit_code': 9007268343316530, 'p': 59}
  • id: 173242
    {'charpoly_factorization': [[[-7984150090052846222, 1], 2]], 'hecke_orbit_code': 9007268343316530, 'p': 61}
  • id: 173243
    {'charpoly_factorization': [[[23396970344146335306616615995360962704, 0, 1], 1]], 'hecke_orbit_code': 9007268343316530, 'p': 67}
  • id: 173244
    {'charpoly_factorization': [[[-8849017338933008232, 1], 2]], 'hecke_orbit_code': 9007268343316530, 'p': 71}
  • id: 173245
    {'charpoly_factorization': [[[1345746390499351686697158775560354857956, 0, 1], 1]], 'hecke_orbit_code': 9007268343316530, 'p': 73}
  • id: 173246
    {'charpoly_factorization': [[[33840609578636773520, 1], 2]], 'hecke_orbit_code': 9007268343316530, 'p': 79}
  • id: 173247
    {'charpoly_factorization': [[[41703576836857934456212366910428142819856, 0, 1], 1]], 'hecke_orbit_code': 9007268343316530, 'p': 83}
  • id: 173248
    {'charpoly_factorization': [[[-41024056743692272710, 1], 2]], 'hecke_orbit_code': 9007268343316530, 'p': 89}
  • id: 173249
    {'charpoly_factorization': [[[529390759507816108802117209578229621449604, 0, 1], 1]], 'hecke_orbit_code': 9007268343316530, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 2, 'hecke_orbit': 3, 'label': '50.22.b.c', 'level': 50, 'portrait': 'data:image/png;base64,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', 'weight': 22}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29804911
    {'hecke_orbit_code': 9007268343316530, 'n': 1, 'trace_an': 2}
  • id: 29804912
    {'hecke_orbit_code': 9007268343316530, 'n': 2, 'trace_an': 0}
  • id: 29804913
    {'hecke_orbit_code': 9007268343316530, 'n': 3, 'trace_an': 0}
  • id: 29804914
    {'hecke_orbit_code': 9007268343316530, 'n': 4, 'trace_an': -2097152}
  • id: 29804915
    {'hecke_orbit_code': 9007268343316530, 'n': 5, 'trace_an': 0}
  • id: 29804916
    {'hecke_orbit_code': 9007268343316530, 'n': 6, 'trace_an': 121479168}
  • id: 29804917
    {'hecke_orbit_code': 9007268343316530, 'n': 7, 'trace_an': 0}
  • id: 29804918
    {'hecke_orbit_code': 9007268343316530, 'n': 8, 'trace_an': 0}
  • id: 29804919
    {'hecke_orbit_code': 9007268343316530, 'n': 9, 'trace_an': 13883930694}
  • id: 29804920
    {'hecke_orbit_code': 9007268343316530, 'n': 10, 'trace_an': 0}
  • id: 29804921
    {'hecke_orbit_code': 9007268343316530, 'n': 11, 'trace_an': -213535789896}
  • id: 29804922
    {'hecke_orbit_code': 9007268343316530, 'n': 12, 'trace_an': 0}
  • id: 29804923
    {'hecke_orbit_code': 9007268343316530, 'n': 13, 'trace_an': 0}
  • id: 29804924
    {'hecke_orbit_code': 9007268343316530, 'n': 14, 'trace_an': -2923368103936}
  • id: 29804925
    {'hecke_orbit_code': 9007268343316530, 'n': 15, 'trace_an': 0}
  • id: 29804926
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