Embedded newform data - 567.2.p.e.404.3

Formats: - HTML - YAML - JSON - 2026-09-23T15:02:22.324321

• 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': 2268, 'analytic_conductor': 4.527517794606598, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 21, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 16, 'char_orbit_label': 'p', 'char_order': 6, 'char_parity': 1, 'char_values': [567, 6, [407, 325], [3, 1]], 'cm_discs': [], 'conrey_index': 80, 'dim': 32, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [81, 0, -4644, 0, 247428, 0, -1019856, 0, 2644306, 0, -4281768, 0, 5047818, 0, -4256572, 0, 2708559, 0, -1257876, 0, 443850, 0, -115560, 0, 22899, 0, -3304, 0, 351, 0, -24, 0, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18015429335188023, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 7, 4, -1, 6, 0], [1, 1, 21, 7, 1, 6, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '567.2.p.e', 'level': 567, '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': [3, 7], 'level_radical': 21, 'minimal_twist': '567.2.p.e', 'prim_orbit_index': 7, 'related_objects': [], 'relative_dim': 16, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '567.2.p', 'trace_display': [0, 0, 0, -8], 'traces': [32, 0, 0, 16, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 24, 0, 0, -16, 0, 0, -16, 0, 0, -48, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 56, 0, 0, 12, 0, 0, -4, 0, 0, 48, 0, 0, 0, 0, 0, 36, 0, 0, 12, 0, 0, -80, 0, 0, -20, 0, 0, 120, 0, 0, -36, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -24, 0, 0, 12, 0, 0, 36, 0, 0, 72, 0, 0, 0, 0, 0, 52, 0, 0, -12, 0, 0, -72, 0, 0, -40, 0, 0, -32, 0, 0, -36, 0, 0, 0, 0, 0, -8, 0, 0, -264, 0, 0, 16, 0, 0, -48, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -104, 0, 0, -4, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 144, 0, 0, -88, 0, 0, 52, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 144, 0, 0, 144, 0, 0, 44, 0, 0, -128, 0, 0, 120, 0, 0, 0, 0, 0, -72, 0, 0, 120, 0, 0, 152, 0, 0, 24, 0, 0, -12, 0, 0, -216, 0, 0, 0, 0, 0, -96, 0, 0, 120, 0, 0, 360, 0, 0, -24, 0, 0, 132, 0, 0, 132, 0, 0, 0, 0, 0, 36, 0, 0, 288, 0, 0, -216, 0, 0, 92, 0, 0, 28, 0, 0, -180, 0, 0, 0, 0, 0, 104, 0, 0, -156, 0, 0, -72, 0, 0, 64, 0, 0, -72, 0, 0, 228, 0, 0, 0, 0, 0, 56, 0, 0, -432, 0, 0, -192, 0, 0, -24, 0, 0, -32, 0, 0, -36, 0, 0, 0, 0, 0, 12, 0, 0, -252, 0, 0, -16, 0, 0, -12, 0, 0, 12, 0, 0, -84, 0, 0, 0, 0, 0, 80, 0, 0, 144, 0, 0, -304, 0, 0, -144, 0, 0, -20, 0, 0, -72, 0, 0, 0, 0, 0, 24, 0, 0, 108, 0, 0, -312, 0, 0, 56, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 216, 0, 0, 248, 0, 0, -72, 0, 0, 48, 0, 0, 492, 0, 0, 0, 0, 0, -132, 0, 0, 24, 0, 0, 584, 0, 0, 48, 0, 0, 288, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 256, 0, 0, -12, 0, 0, 144, 0, 0, -360, 0, 0, 0, 0, 0, 88, 0, 0, 144, 0, 0, -408, 0, 0, -36, 0, 0, 200, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, -360, 0, 0, 40, 0, 0, 12, 0, 0, -28, 0, 0, 252, 0, 0, 0, 0, 0, 72, 0, 0, -348, 0, 0, -328, 0, 0, 32, 0, 0, -312, 0, 0, -144, 0, 0, 0, 0, 0, -40, 0, 0, -324, 0, 0, 360, 0, 0, -76, 0, 0, -132, 0, 0, -360, 0, 0, 0, 0, 0, 132, 0, 0, 120, 0, 0, -456, 0, 0, -104, 0, 0, -108, 0, 0, -216, 0, 0, 0, 0, 0, -80, 0, 0, 108, 0, 0, -104, 0, 0, -84, 0, 0, -232, 0, 0, -48, 0, 0, 0, 0, 0, -168, 0, 0, 216, 0, 0, 360, 0, 0, -8, 0, 0, -336, 0, 0, -132, 0, 0, 0, 0, 0, -72, 0, 0, -216, 0, 0, 288, 0, 0, 212, 0, 0, 84, 0, 0, 72, 0, 0, 0, 0, 0, -128, 0, 0, 72, 0, 0, 936, 0, 0, -68, 0, 0, 204, 0, 0, 348, 0, 0, 0, 0, 0, 80, 0, 0, 216, 0, 0, -296, 0, 0, 144, 0, 0, 228, 0, 0, -180, 0, 0, 0, 0, 0, 72, 0, 0, -144, 0, 0, 80, 0, 0, 36, 0, 0, -324, 0, 0, 72, 0, 0, 0, 0, 0, -36, 0, 0, -144, 0, 0, -208, 0, 0, -32, 0, 0, 156, 0, 0, 252, 0, 0, 0, 0, 0, -28, 0, 0, -444, 0, 0, -24, 0, 0, 12, 0, 0, -148, 0, 0, 36, 0, 0, 0, 0, 0, 80, 0, 0, 540, 0, 0, -336, 0, 0, -84, 0, 0, -24, 0, 0, -216, 0, 0, 0, 0, 0, 24, 0, 0, -120, 0, 0, -312, 0, 0, 184, 0, 0, 48, 0, 0, -252, 0, 0, 0, 0, 0, 104, 0, 0, 144, 0, 0, 296, 0, 0, 0, 0, 0, 16, 0, 0, 756, 0, 0, 0, 0, 0, -260, 0, 0, 156, 0, 0, 600, 0, 0, -156, 0, 0, 164, 0, 0, -420, 0, 0, 0, 0, 0, 108, 0, 0, 480, 0, 0, 456, 0, 0, 132, 0, 0, 360, 0, 0, 216, 0, 0, 0, 0, 0, -48, 0, 0, 144, 0, 0, -984, 0, 0, -8, 0, 0, 144, 0, 0, 72, 0, 0, 0, 0, 0, 72, 0, 0, -144, 0, 0, -128, 0, 0, -8, 0, 0, 104, 0, 0, 180, 0, 0, 0, 0, 0, 24, 0, 0, -156, 0, 0, -744, 0, 0, -252, 0, 0, 72, 0, 0, -60, 0, 0, 0, 0, 0, 88, 0, 0, -864, 0, 0, 32, 0, 0, -156, 0, 0, -232, 0, 0, -216, 0, 0, 0, 0, 0, 36, 0, 0, 252, 0, 0, -1128, 0, 0, -28, 0, 0, 432, 0, 0, -108, 0, 0, 0, 0, 0, 8, 0, 0, 108, 0, 0, -472, 0, 0, 12, 0, 0, -288, 0, 0, -180, 0, 0, 0, 0, 0, -60, 0, 0, 360, 0, 0, 720, 0, 0, 156, 0, 0, 84, 0, 0, -144, 0, 0, 0, 0, 0, 32, 0, 0, -84, 0, 0, 472, 0, 0, 216, 0, 0, -48, 0, 0, 312, 0, 0, 0, 0, 0, 360, 0, 0, 720, 0, 0, 864, 0, 0, -100, 0, 0, -468, 0, 0, 120, 0, 0, 0], '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], [-1.3295258000768588, -0.767602078568927], [0.0, 0.0], [0.6784259020466743, 1.1750681315155862], [-0.2767127422332683, 0.479280528649731], [0.0, 0.0], [0.7155120284926202, -0.6986004130276304], [0.0, -0.5478403731262519], [0.0, 0.0], [0.7357934600182953, -0.42481055220952896], [-0.29189755541803064, 0.1685271321963937], [0.0, 0.0], [0.0, 1.4974553196590301], [-1.487538831275387, 0.37957875275257985], [0.0, 0.0], [0.2579024929109868, -0.4467002211205014], [-0.22166661978915517, -0.38393784781686946], [0.0, 0.0], [-0.7822722501184691, -0.4516450941854724], [-0.7509163670296557, 0.0], [0.0, 0.0], [0.5174471078768486, 0.0], [-0.03486878076049077, -0.02013149995838339], [0.0, 0.0], [0.34686011657148963, 0.6007793450210834], [1.1494498159343685, -1.9909054819490202], [0.0, 0.0], [1.3063249753677462, 0.36682676701930067], [0.0, 1.5758752865787435], [0.0, 0.0], [-0.7685332109638939, 0.4437128562311716], [-1.1602197168046722, 0.6698531658162888], [0.0, 0.0], [0.0, 0.6806070323980142], [0.1368342797657218, 0.5362426192853539], [0.0, 0.0], [-0.9559025797164018, 1.6556718351549669], [0.6933674261444548, 1.2009476103954568], [0.0, 0.0], [0.26256922364761587, 0.15159441195386208], [1.7778840124651787, 0.0], [0.0, 0.0], [0.5226190160929358, 0.0], [-0.3960617246793931, -0.22866634335935504], [0.0, 0.0], [0.030905962425530717, 0.053530697177833854], [0.5882964504921839, -1.0189593421648913], [0.0, 0.0], [0.023914925835248235, -0.9997139972623643], [0.0, -1.0650021858117429], [0.0, 0.0], [-1.7596120244998115, 1.0159124760142686], [0.34923195155757863, -0.20162916124138636], [0.0, 0.0], [0.0, -0.1865344195630905], [-0.38272151093921075, -0.3919863766657184], [0.0, 0.0], [1.209645145543247, -2.095166851209953], [0.7943126020736129, 1.3757897838837374], [0.0, 0.0], [0.8470984021518134, 0.48907249051245133], [1.3623796429232113, 0.0], [0.0, 0.0], [1.540917743844264, 0.0], [-0.7177011772355318, -0.4143649678746456], [0.0, 0.0], [0.07172118670284568, 0.12422473934846207], [0.30076875296818956, -0.5209467614700369], [0.0, 0.0], [0.2296962438972214, -0.8179826750083206], [0.0, 1.3944689483638035], [0.0, 0.0], [0.07756030869952435, -0.04477946510610086], [2.541794284185965, -1.467505614199419], [0.0, 0.0], [0.0, -1.2256309217109371], [-0.09112308783042941, 0.3245029429906775], [0.0, 0.0], [0.049057775499434714, -0.08497055967132858], [0.14272981208439042, 0.24721528628492254], [0.0, 0.0], [-2.363742664116623, -1.3647074634227352], [-1.1636494818413354, 0.0], [0.0, 0.0], [0.24535191289374556, 0.0], [-0.6948354655063412, -0.40116344305258506], [0.0, 0.0], [0.0923259669843695, 0.1599132656748547], [0.07478590760496968, -0.1295329916619592], [0.0, 0.0], [1.0461229048042209, 1.0714472933462975], [0.0, -0.05463092407527535], [0.0, 0.0], [-1.564310618045994, 0.9031551564250445], [0.4329293990065415, -0.24995190505652964], [0.0, 0.0], [0.0, -0.49964935029956326], [-0.7991780531779286, 1.3107884052783212], [0.0, 0.0], [-0.47063777493805486, 0.8151685381538775]], 'angles': [-0.30594178675313727, None, -0.46128919015154873, None, -0.36028387346249313, 0.13466745482972522, -0.11890816797250267, -0.24124800158014972, -0.16987091085632297, 0.14442554609732772, -0.40650282513615416, 0.2858926733982429, -0.07572055696625463, -0.2079228391428411, -0.3165660774201558, -0.3010215440682711, 0.06275104810174956, -0.08533434088196432, -0.07190874308613779, 0.12279317901339522, -0.3262040761593037, -0.4088557440136711, -0.348830521672534, -0.40475299675773874, -0.4598135066367368, 0.030861120193527082, -0.19305952969985163, -0.2242060339466207, -0.07051387780914872, 0.04913437969437125, -0.3385464150257033, -0.20229670632497343, -0.3070626111997622, 0.07625426555002089, -0.2090852570852378, -0.052045521240000316, -0.3849159209885707, -0.40785373892151067, -0.33025313347498564, -0.43444480191666335, -0.3936943080616857, -0.4620101417048544, -0.278418912617994, -0.08480424267243596, -0.41276164583835945, -0.14903597854747633, -0.1561785659395684, -0.41598549508430444, -0.4842570880863923, -0.25800075953826934, -0.09519101863956268, 0.12135886584591396, -0.38502216496131153, -0.16090684698873764, -0.3271452910286041, -0.2565939069404948, -0.44880936030493485, -0.04689217358950684, -0.010901057840249539, 0.07897141342201239, -0.2546228403095986, -0.31609606554906106, -0.41148071475585657, -0.1397462367753444, -0.3044817255357899, -0.13347802851702836, -0.39255747941028174, -0.16146731020037733, -0.4339814570425277, -0.44645618085865474, -0.10407011406550214, -0.03252585204838276, -0.19888816654961156, 0.23650783405395007, -0.20053578399143698, -0.47567282874815364, -0.3509618929430172, -0.13352995990562344, -0.22730896424686658, -0.38984800984899204, -0.2500972007496196, -0.16408269541015608, -0.34591583070876286, -0.48158701291410744, -0.09607150856499633, -0.1806086063395303, 0.019631030197389224, -0.44865020489575663, -0.3128728770826883, -0.1646375329986943, 0.17664203223445651, 0.011359220758979983, -0.09910300338228387, -0.4764669934598649, 0.19224531905045575, -0.33843947618402787, -0.4979162528158826, -0.48087860599852017, -0.18066972526267283, -0.44937550775094653], 'char_orbit_index': 16, 'conrey_index': 404, 'dual_conrey_index': 80, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 19, 'hecke_orbit': 5, 'hecke_orbit_code': 18015429335188023, 'label': '567.2.p.e.404.3', 'level': 567, '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': 2268, 'analytic_conductor': 4.527517794606598, 'char_conductor': 21, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 16, 'char_orbit_label': 'p', 'char_order': 6, 'char_parity': 1, 'char_values': [567, 6, [407, 325], [3, 1]], 'conrey_index': 80, 'cusp_dim': 120, 'dim': 56, 'eis_dim': 48, 'eis_new_dim': 16, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 1030825706039, 'hecke_orbit_dims': [2, 2, 10, 10, 32], 'label': '567.2.p', 'level': 567, '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': [3, 7], 'level_radical': 21, 'mf_dim': 168, 'mf_new_dim': 72, 'num_forms': 5, 'prim_orbit_index': 7, 'relative_dim': 28, 'sturm_bound': 144, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [56, 0, 0, 26, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -30, 0, 0, -12, 0, 0, 16, 0, 0, -10, 0, 0, -20, 0, 0, -18, 0, 0, 0, 0, 0, -6, 0, 0, -48, 0, 0, 48, 0, 0, 4, 0, 0, 8, 0, 0, 78, 0, 0, 0, 0, 0, 34, 0, 0, -60, 0, 0, -72, 0, 0, -32, 0, 0, 126, 0, 0, -48, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -60, 0, 0, -10, 0, 0, 6, 0, 0, 78, 0, 0, 0, 0, 0, 14, 0, 0, 36, 0, 0, -116, 0, 0, -24, 0, 0, -38, 0, 0, -30, 0, 0, 0, 0, 0, -46, 0, 0, -186, 0, 0, 64, 0, 0, -78, 0, 0, -84, 0, 0, 150, 0, 0, 0, 0, 0, -62, 0, 0, -6, 0, 0, 44, 0, 0, 0, 0, 0, 22, 0, 0, -66, 0, 0, 0, 0, 0, -44, 0, 0, 162, 0, 0, 92, 0, 0, 92, 0, 0, 12, 0, 0, -12, 0, 0, 0, 0, 0, 14, 0, 0, 204, 0, 0, -60, 0, 0, 54, 0, 0, 2, 0, 0, 66, 0, 0, 0, 0, 0, -84, 0, 0, 78, 0, 0, 156, 0, 0, 22, 0, 0, 18, 0, 0, -198, 0, 0, 0, 0, 0, -44, 0, 0, 12, 0, 0, 176, 0, 0, -72, 0, 0, 90, 0, 0, 72, 0, 0, 0, 0, 0, -18, 0, 0, 114, 0, 0, -188, 0, 0, 70, 0, 0, -98, 0, 0, -282, 0, 0, 0, 0, 0, 214, 0, 0, -126, 0, 0, -344, 0, 0, 28, 0, 0, -60, 0, 0, 210, 0, 0, 0, 0, 0, 86, 0, 0, -306, 0, 0, -252, 0, 0, -68, 0, 0, -134, 0, 0, -30, 0, 0, 0, 0, 0, 0, 0, 0, -174, 0, 0, 172, 0, 0, 52, 0, 0, -170, 0, 0, -42, 0, 0, 0, 0, 0, 6, 0, 0, 216, 0, 0, -108, 0, 0, -36, 0, 0, 78, 0, 0, -84, 0, 0, 0, 0, 0, 60, 0, 0, 192, 0, 0, 64, 0, 0, -4, 0, 0, 156, 0, 0, 24, 0, 0, 0, 0, 0, -20, 0, 0, 384, 0, 0, 60, 0, 0, 28, 0, 0, 192, 0, 0, 300, 0, 0, 0, 0, 0, -98, 0, 0, -54, 0, 0, 516, 0, 0, 120, 0, 0, 148, 0, 0, 336, 0, 0, 0, 0, 0, 66, 0, 0, -30, 0, 0, 40, 0, 0, 32, 0, 0, 48, 0, 0, -330, 0, 0, 0, 0, 0, 86, 0, 0, -102, 0, 0, -360, 0, 0, -66, 0, 0, 140, 0, 0, -36, 0, 0, 0, 0, 0, 54, 0, 0, -126, 0, 0, -128, 0, 0, -68, 0, 0, -138, 0, 0, 78, 0, 0, 0, 0, 0, 64, 0, 0, -390, 0, 0, -548, 0, 0, 144, 0, 0, -330, 0, 0, -240, 0, 0, 0, 0, 0, -18, 0, 0, -54, 0, 0, 600, 0, 0, -116, 0, 0, -84, 0, 0, -12, 0, 0, 0, 0, 0, 114, 0, 0, 138, 0, 0, -20, 0, 0, -196, 0, 0, -162, 0, 0, -336, 0, 0, 0, 0, 0, -86, 0, 0, 414, 0, 0, 244, 0, 0, -74, 0, 0, -138, 0, 0, -6, 0, 0, 0, 0, 0, -146, 0, 0, 408, 0, 0, -52, 0, 0, -56, 0, 0, -330, 0, 0, -186, 0, 0, 0, 0, 0, 40, 0, 0, -594, 0, 0, 300, 0, 0, 182, 0, 0, 120, 0, 0, 72, 0, 0, 0, 0, 0, -160, 0, 0, -246, 0, 0, 720, 0, 0, -134, 0, 0, 146, 0, 0, 360, 0, 0, 0, 0, 0, 200, 0, 0, -414, 0, 0, -188, 0, 0, -26, 0, 0, 246, 0, 0, -372, 0, 0, 0, 0, 0, 24, 0, 0, -30, 0, 0, -416, 0, 0, -24, 0, 0, -168, 0, 0, -138, 0, 0, 0, 0, 0, -152, 0, 0, 60, 0, 0, -432, 0, 0, 62, 0, 0, 102, 0, 0, -12, 0, 0, 0, 0, 0, -190, 0, 0, -270, 0, 0, 280, 0, 0, 54, 0, 0, -224, 0, 0, 186, 0, 0, 0, 0, 0, 0, 0, 0, 528, 0, 0, -168, 0, 0, 112, 0, 0, -18, 0, 0, -234, 0, 0, 0, 0, 0, -48, 0, 0, 162, 0, 0, 96, 0, 0, 190, 0, 0, 196, 0, 0, -30, 0, 0, 0, 0, 0, 168, 0, 0, 486, 0, 0, -120, 0, 0, 114, 0, 0, 172, 0, 0, 744, 0, 0, 0, 0, 0, -172, 0, 0, 72, 0, 0, 736, 0, 0, -116, 0, 0, -96, 0, 0, -132, 0, 0, 0, 0, 0, 18, 0, 0, 168, 0, 0, 156, 0, 0, 76, 0, 0, 522, 0, 0, 312, 0, 0, 0, 0, 0, -82, 0, 0, 12, 0, 0, -828, 0, 0, 4, 0, 0, 120, 0, 0, -12, 0, 0, 0, 0, 0, 132, 0, 0, 486, 0, 0, -400, 0, 0, -82, 0, 0, 52, 0, 0, 300, 0, 0, 0, 0, 0, 50, 0, 0, -252, 0, 0, -872, 0, 0, -144, 0, 0, 42, 0, 0, -48, 0, 0, 0, 0, 0, 40, 0, 0, -822, 0, 0, 408, 0, 0, -170, 0, 0, -114, 0, 0, -54, 0, 0, 0, 0, 0, -26, 0, 0, 168, 0, 0, -700, 0, 0, -90, 0, 0, 696, 0, 0, -342, 0, 0, 0, 0, 0, 120, 0, 0, 378, 0, 0, -72, 0, 0, -84, 0, 0, -84, 0, 0, -12, 0, 0, 0, 0, 0, -126, 0, 0, 198, 0, 0, 332, 0, 0, 180, 0, 0, 438, 0, 0, -120, 0, 0, 0, 0, 0, -130, 0, 0, -492, 0, 0, 436, 0, 0, 150, 0, 0, 24, 0, 0, 612, 0, 0, 0, 0, 0, 460, 0, 0, 408, 0, 0, 612, 0, 0, -186, 0, 0, -686, 0, 0, -96, 0, 0, 0], '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: 44544729
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 404, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 18015429335188023, 'source_is_minimal': True, 'source_label': '567.2.p.e.404.3', 'source_level': 567, 'target_conrey_index': 404, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18015429335188023, 'target_is_minimal': True, 'target_label': '567.2.p.e.404.3', 'target_level': 567, 'twist_class_label': '567.2.p.e.80.3', 'twist_class_level': 567, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 44544730
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 404, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 18015429335188023, 'source_is_minimal': True, 'source_label': '567.2.p.e.404.3', 'source_level': 567, 'target_conrey_index': 404, 'target_dim': 32, 'target_embedding_index': 14, 'target_hecke_orbit_code': 18015429335188023, 'target_is_minimal': True, 'target_label': '567.2.p.e.404.14', 'target_level': 567, 'twist_class_label': '567.2.p.e.80.3', 'twist_class_level': 567, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 44544731
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 404, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 18015429335188023, 'source_is_minimal': True, 'source_label': '567.2.p.e.404.3', 'source_level': 567, 'target_conrey_index': 80, 'target_dim': 32, 'target_embedding_index': 14, 'target_hecke_orbit_code': 18015429335188023, 'target_is_minimal': True, 'target_label': '567.2.p.e.80.14', 'target_level': 567, 'twist_class_label': '567.2.p.e.80.3', 'twist_class_level': 567, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 44544732
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 404, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 18015429335188023, 'source_is_minimal': True, 'source_label': '567.2.p.e.404.3', 'source_level': 567, 'target_conrey_index': 215, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27022147553591863, 'target_is_minimal': False, 'target_label': '567.2.i.g.215.3', 'target_level': 567, 'twist_class_label': '567.2.p.e.80.3', 'twist_class_level': 567, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 44544733
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 404, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 18015429335188023, 'source_is_minimal': True, 'source_label': '567.2.p.e.404.3', 'source_level': 567, 'target_conrey_index': 26, 'target_dim': 32, 'target_embedding_index': 14, 'target_hecke_orbit_code': 27022834748359223, 'target_is_minimal': False, 'target_label': '567.2.s.g.26.14', 'target_level': 567, 'twist_class_label': '567.2.p.e.80.3', 'twist_class_level': 567, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 44544734
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 404, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 18015429335188023, 'source_is_minimal': True, 'source_label': '567.2.p.e.404.3', 'source_level': 567, 'target_conrey_index': 26, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27022834748359223, 'target_is_minimal': False, 'target_label': '567.2.s.g.26.3', 'target_level': 567, 'twist_class_label': '567.2.p.e.80.3', 'twist_class_level': 567, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 44544735
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 404, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 18015429335188023, 'source_is_minimal': True, 'source_label': '567.2.p.e.404.3', 'source_level': 567, 'target_conrey_index': 215, 'target_dim': 32, 'target_embedding_index': 14, 'target_hecke_orbit_code': 27022147553591863, 'target_is_minimal': False, 'target_label': '567.2.i.g.215.14', 'target_level': 567, 'twist_class_label': '567.2.p.e.80.3', 'twist_class_level': 567, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 44544736
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 404, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 18015429335188023, 'source_is_minimal': True, 'source_label': '567.2.p.e.404.3', 'source_level': 567, 'target_conrey_index': 80, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18015429335188023, 'target_is_minimal': True, 'target_label': '567.2.p.e.80.3', 'target_level': 567, 'twist_class_label': '567.2.p.e.80.3', 'twist_class_level': 567, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 44544737
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 404, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 18015429335188023, 'source_is_minimal': True, 'source_label': '567.2.p.e.404.3', 'source_level': 567, 'target_conrey_index': 269, 'target_dim': 32, 'target_embedding_index': 14, 'target_hecke_orbit_code': 27022147553591863, 'target_is_minimal': False, 'target_label': '567.2.i.g.269.14', 'target_level': 567, 'twist_class_label': '567.2.p.e.80.3', 'twist_class_level': 567, 'twisting_char_label': '63.31', 'twisting_conrey_index': 31, 'weight': 2}
  • id: 44544738
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 404, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 18015429335188023, 'source_is_minimal': True, 'source_label': '567.2.p.e.404.3', 'source_level': 567, 'target_conrey_index': 458, 'target_dim': 32, 'target_embedding_index': 14, 'target_hecke_orbit_code': 27022834748359223, 'target_is_minimal': False, 'target_label': '567.2.s.g.458.14', 'target_level': 567, 'twist_class_label': '567.2.p.e.80.3', 'twist_class_level': 567, 'twisting_char_label': '63.38', 'twisting_conrey_index': 38, 'weight': 2}
  • id: 44544739
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 404, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 18015429335188023, 'source_is_minimal': True, 'source_label': '567.2.p.e.404.3', 'source_level': 567, 'target_conrey_index': 458, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27022834748359223, 'target_is_minimal': False, 'target_label': '567.2.s.g.458.3', 'target_level': 567, 'twist_class_label': '567.2.p.e.80.3', 'twist_class_level': 567, 'twisting_char_label': '63.52', 'twisting_conrey_index': 52, 'weight': 2}
  • id: 44544740
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 404, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 18015429335188023, 'source_is_minimal': True, 'source_label': '567.2.p.e.404.3', 'source_level': 567, 'target_conrey_index': 269, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27022147553591863, 'target_is_minimal': False, 'target_label': '567.2.i.g.269.3', 'target_level': 567, 'twist_class_label': '567.2.p.e.80.3', 'twist_class_level': 567, 'twisting_char_label': '63.59', 'twisting_conrey_index': 59, 'weight': 2}
• hecke_orbit_code 18015429335188023 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': 16, 'hecke_orbit': 5, 'label': '567.2.p.e', 'level': 567, '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

  
  Showing the first 100 of 258 matching records in this table.
  • id: 41467801
    {'hecke_orbit_code': 18015429335188023, 'n': 1, 'trace_an': 32}
  • id: 41467802
    {'hecke_orbit_code': 18015429335188023, 'n': 2, 'trace_an': 0}
  • id: 41467803
    {'hecke_orbit_code': 18015429335188023, 'n': 3, 'trace_an': 0}
  • id: 41467804
    {'hecke_orbit_code': 18015429335188023, 'n': 4, 'trace_an': 16}
  • id: 41467805
    {'hecke_orbit_code': 18015429335188023, 'n': 5, 'trace_an': 0}
  • id: 41467806
    {'hecke_orbit_code': 18015429335188023, 'n': 6, 'trace_an': 0}
  • id: 41467807
    {'hecke_orbit_code': 18015429335188023, 'n': 7, 'trace_an': -8}
  • id: 41467808
    {'hecke_orbit_code': 18015429335188023, 'n': 8, 'trace_an': 0}
  • id: 41467809
    {'hecke_orbit_code': 18015429335188023, 'n': 9, 'trace_an': 0}
  • id: 41467810
    {'hecke_orbit_code': 18015429335188023, 'n': 10, 'trace_an': 0}
  • id: 41467811
    {'hecke_orbit_code': 18015429335188023, 'n': 11, 'trace_an': 0}
  • id: 41467812
    {'hecke_orbit_code': 18015429335188023, 'n': 12, 'trace_an': 0}
  • id: 41467813
    {'hecke_orbit_code': 18015429335188023, 'n': 13, 'trace_an': 0}
  • id: 41467814
    {'hecke_orbit_code': 18015429335188023, 'n': 14, 'trace_an': 0}
  • id: 41467815
    {'hecke_orbit_code': 18015429335188023, 'n': 15, 'trace_an': 0}
  • id: 41467816
    {'hecke_orbit_code': 18015429335188023, 'n': 16, 'trace_an': -28}
  • id: 41467817
    {'hecke_orbit_code': 18015429335188023, 'n': 17, 'trace_an': 0}
  • id: 41467818
    {'hecke_orbit_code': 18015429335188023, 'n': 18, 'trace_an': 0}
  • id: 41467819
    {'hecke_orbit_code': 18015429335188023, 'n': 19, 'trace_an': 0}
  • id: 41467820
    {'hecke_orbit_code': 18015429335188023, 'n': 20, 'trace_an': 0}
  • id: 41467821
    {'hecke_orbit_code': 18015429335188023, 'n': 21, 'trace_an': 0}
  • id: 41467822
    {'hecke_orbit_code': 18015429335188023, 'n': 22, 'trace_an': 24}
  • id: 41467823
    {'hecke_orbit_code': 18015429335188023, 'n': 23, 'trace_an': 0}
  • id: 41467824
    {'hecke_orbit_code': 18015429335188023, 'n': 24, 'trace_an': 0}
  • id: 41467825
    {'hecke_orbit_code': 18015429335188023, 'n': 25, 'trace_an': -16}
  • id: 41467826
    {'hecke_orbit_code': 18015429335188023, 'n': 26, 'trace_an': 0}
  • id: 41467827
    {'hecke_orbit_code': 18015429335188023, 'n': 27, 'trace_an': 0}
  • id: 41467828
    {'hecke_orbit_code': 18015429335188023, 'n': 28, 'trace_an': -16}
  • id: 41467829
    {'hecke_orbit_code': 18015429335188023, 'n': 29, 'trace_an': 0}
  • id: 41467830
    {'hecke_orbit_code': 18015429335188023, 'n': 30, 'trace_an': 0}
  • id: 41467831
    {'hecke_orbit_code': 18015429335188023, 'n': 31, 'trace_an': -48}
  • id: 41467832
    {'hecke_orbit_code': 18015429335188023, 'n': 32, 'trace_an': 0}
  • id: 41467833
    {'hecke_orbit_code': 18015429335188023, 'n': 33, 'trace_an': 0}
  • id: 41467834
    {'hecke_orbit_code': 18015429335188023, 'n': 34, 'trace_an': 0}
  • id: 41467835
    {'hecke_orbit_code': 18015429335188023, 'n': 35, 'trace_an': 0}
  • id: 41467836
    {'hecke_orbit_code': 18015429335188023, 'n': 36, 'trace_an': 0}
  • id: 41467837
    {'hecke_orbit_code': 18015429335188023, 'n': 37, 'trace_an': -4}
  • id: 41467838
    {'hecke_orbit_code': 18015429335188023, 'n': 38, 'trace_an': 0}
  • id: 41467839
    {'hecke_orbit_code': 18015429335188023, 'n': 39, 'trace_an': 0}
  • id: 41467840
    {'hecke_orbit_code': 18015429335188023, 'n': 40, 'trace_an': 0}
  • id: 41467841
    {'hecke_orbit_code': 18015429335188023, 'n': 41, 'trace_an': 0}
  • id: 41467842
    {'hecke_orbit_code': 18015429335188023, 'n': 42, 'trace_an': 0}
  • id: 41467843
    {'hecke_orbit_code': 18015429335188023, 'n': 43, 'trace_an': 56}
  • id: 41467844
    {'hecke_orbit_code': 18015429335188023, 'n': 44, 'trace_an': 0}
  • id: 41467845
    {'hecke_orbit_code': 18015429335188023, 'n': 45, 'trace_an': 0}
  • id: 41467846
    {'hecke_orbit_code': 18015429335188023, 'n': 46, 'trace_an': 12}
  • id: 41467847
    {'hecke_orbit_code': 18015429335188023, 'n': 47, 'trace_an': 0}
  • id: 41467848
    {'hecke_orbit_code': 18015429335188023, 'n': 48, 'trace_an': 0}
  • id: 41467849
    {'hecke_orbit_code': 18015429335188023, 'n': 49, 'trace_an': -4}
  • id: 41467850
    {'hecke_orbit_code': 18015429335188023, 'n': 50, 'trace_an': 0}
  • id: 41467851
    {'hecke_orbit_code': 18015429335188023, 'n': 51, 'trace_an': 0}
  • id: 41467852
    {'hecke_orbit_code': 18015429335188023, 'n': 52, 'trace_an': 48}
  • id: 41467853
    {'hecke_orbit_code': 18015429335188023, 'n': 53, 'trace_an': 0}
  • id: 41467854
    {'hecke_orbit_code': 18015429335188023, 'n': 54, 'trace_an': 0}
  • id: 41467855
    {'hecke_orbit_code': 18015429335188023, 'n': 55, 'trace_an': 0}
  • id: 41467856
    {'hecke_orbit_code': 18015429335188023, 'n': 56, 'trace_an': 0}
  • id: 41467857
    {'hecke_orbit_code': 18015429335188023, 'n': 57, 'trace_an': 0}
  • id: 41467858
    {'hecke_orbit_code': 18015429335188023, 'n': 58, 'trace_an': 36}
  • id: 41467859
    {'hecke_orbit_code': 18015429335188023, 'n': 59, 'trace_an': 0}
  • id: 41467860
    {'hecke_orbit_code': 18015429335188023, 'n': 60, 'trace_an': 0}
  • id: 41467861
    {'hecke_orbit_code': 18015429335188023, 'n': 61, 'trace_an': 12}
  • id: 41467862
    {'hecke_orbit_code': 18015429335188023, 'n': 62, 'trace_an': 0}
  • id: 41467863
    {'hecke_orbit_code': 18015429335188023, 'n': 63, 'trace_an': 0}
  • id: 41467864
    {'hecke_orbit_code': 18015429335188023, 'n': 64, 'trace_an': -80}
  • id: 41467865
    {'hecke_orbit_code': 18015429335188023, 'n': 65, 'trace_an': 0}
  • id: 41467866
    {'hecke_orbit_code': 18015429335188023, 'n': 66, 'trace_an': 0}
  • id: 41467867
    {'hecke_orbit_code': 18015429335188023, 'n': 67, 'trace_an': -20}
  • id: 41467868
    {'hecke_orbit_code': 18015429335188023, 'n': 68, 'trace_an': 0}
  • id: 41467869
    {'hecke_orbit_code': 18015429335188023, 'n': 69, 'trace_an': 0}
  • id: 41467870
    {'hecke_orbit_code': 18015429335188023, 'n': 70, 'trace_an': 120}
  • id: 41467871
    {'hecke_orbit_code': 18015429335188023, 'n': 71, 'trace_an': 0}
  • id: 41467872
    {'hecke_orbit_code': 18015429335188023, 'n': 72, 'trace_an': 0}
  • id: 41467873
    {'hecke_orbit_code': 18015429335188023, 'n': 73, 'trace_an': -36}
  • id: 41467874
    {'hecke_orbit_code': 18015429335188023, 'n': 74, 'trace_an': 0}
  • id: 41467875
    {'hecke_orbit_code': 18015429335188023, 'n': 75, 'trace_an': 0}
  • id: 41467876
    {'hecke_orbit_code': 18015429335188023, 'n': 76, 'trace_an': 0}
  • id: 41467877
    {'hecke_orbit_code': 18015429335188023, 'n': 77, 'trace_an': 0}
  • id: 41467878
    {'hecke_orbit_code': 18015429335188023, 'n': 78, 'trace_an': 0}
  • id: 41467879
    {'hecke_orbit_code': 18015429335188023, 'n': 79, 'trace_an': 4}
  • id: 41467880
    {'hecke_orbit_code': 18015429335188023, 'n': 80, 'trace_an': 0}
  • id: 41467881
    {'hecke_orbit_code': 18015429335188023, 'n': 81, 'trace_an': 0}
  • id: 41467882
    {'hecke_orbit_code': 18015429335188023, 'n': 82, 'trace_an': 0}
  • id: 41467883
    {'hecke_orbit_code': 18015429335188023, 'n': 83, 'trace_an': 0}
  • id: 41467884
    {'hecke_orbit_code': 18015429335188023, 'n': 84, 'trace_an': 0}
  • id: 41467885
    {'hecke_orbit_code': 18015429335188023, 'n': 85, 'trace_an': -24}
  • id: 41467886
    {'hecke_orbit_code': 18015429335188023, 'n': 86, 'trace_an': 0}
  • id: 41467887
    {'hecke_orbit_code': 18015429335188023, 'n': 87, 'trace_an': 0}
  • id: 41467888
    {'hecke_orbit_code': 18015429335188023, 'n': 88, 'trace_an': 12}
  • id: 41467889
    {'hecke_orbit_code': 18015429335188023, 'n': 89, 'trace_an': 0}
  • id: 41467890
    {'hecke_orbit_code': 18015429335188023, 'n': 90, 'trace_an': 0}
  • id: 41467891
    {'hecke_orbit_code': 18015429335188023, 'n': 91, 'trace_an': 36}
  • id: 41467892
    {'hecke_orbit_code': 18015429335188023, 'n': 92, 'trace_an': 0}
  • id: 41467893
    {'hecke_orbit_code': 18015429335188023, 'n': 93, 'trace_an': 0}
  • id: 41467894
    {'hecke_orbit_code': 18015429335188023, 'n': 94, 'trace_an': 72}
  • id: 41467895
    {'hecke_orbit_code': 18015429335188023, 'n': 95, 'trace_an': 0}
  • id: 41467896
    {'hecke_orbit_code': 18015429335188023, 'n': 96, 'trace_an': 0}
  • id: 41467897
    {'hecke_orbit_code': 18015429335188023, 'n': 97, 'trace_an': 0}
  • id: 41467898
    {'hecke_orbit_code': 18015429335188023, 'n': 98, 'trace_an': 0}
  • id: 41467899
    {'hecke_orbit_code': 18015429335188023, 'n': 99, 'trace_an': 0}
  • id: 41467900
    {'hecke_orbit_code': 18015429335188023, 'n': 100, 'trace_an': 52}