Embedded newform data - 576.3.q.l.257.8

Formats: - HTML - YAML - JSON - 2025-01-10T07:46:10.274532

• 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': 5184, 'analytic_conductor': 15.694863227153101, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 9, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 6, 'char_parity': -1, 'char_values': [576, 6, [127, 325, 65], [6, 6, 1]], 'cm_discs': [], 'conrey_index': 65, 'dim': 24, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [7246864, -22192848, 27524340, -14913396, 3020121, 325620, -157394, -7956, 6291, 0, -90, 0, 1]], [7, [2690420062500000000, 0, 831519160650000000, 0, 174331200605310000, 0, 19026736244001000, 0, 1472167650207825, 0, 63711282291840, 0, 1958727234186, 0, 41595731064, 0, 660555243, 0, 7407504, 0, 60858, 0, 312, 0, 1]]], 'hecke_orbit': 12, 'hecke_orbit_code': 49540695463035456, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 0], [1, 1, 9, 4, -1, 6, 0], [1, 1, 36, 8, 1, 6, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '576.3.q.l', 'level': 576, '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': [2, 3], 'level_radical': 6, 'minimal_twist': '288.3.q.b', 'prim_orbit_index': 4, 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '2.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '576.3.q', 'trace_display': [0, 0, 0, 0], 'traces': [24, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 60, 0, 0, 0, -72, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 252, 0, 0, 0, -72, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 96, 0, 0, 0, -288, 0, 0, 0, 432, 0, 0, 0, 24, 0, 0, 0, 720, 0, 0, 0, -372, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, -576, 0, 0, 0, 792, 0, 0, 0, 336, 0, 0, 0, 360, 0, 0, 0, -600, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -852, 0, 0, 0, -120, 0, 0, 0, -1116, 0, 0, 0, 1296, 0, 0, 0, -288, 0, 0, 0, 432, 0, 0, 0, -972, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, -1392, 0, 0, 0, 36, 0, 0, 0, -1728, 0, 0, 0, 1800, 0, 0, 0, -1008, 0, 0, 0, 2376, 0, 0, 0, -1584, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, -312, 0, 0, 0, -1908, 0, 0, 0, 1944, 0, 0, 0, 720, 0, 0, 0, 2520, 0, 0, 0, -1560, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 60, 0, 0, 0, -2448, 0, 0, 0, 2592, 0, 0, 0, 192, 0, 0, 0, 1476, 0, 0, 0, -2040, 0, 0, 0, 312, 0, 0, 0, 0, 0, 0, 0, -2664, 0, 0, 0, -72, 0, 0, 0, -3312, 0, 0, 0, 3168, 0, 0, 0, -1440, 0, 0, 0, 2448, 0, 0, 0, -2628, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -2712, 0, 0, 0, -372, 0, 0, 0, -3744, 0, 0, 0, 4716, 0, 0, 0, 1248, 0, 0, 0, 4896, 0, 0, 0, -2136, 0, 0, 0, -780, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 1224, 0, 0, 0, -2700, 0, 0, 0, 6624, 0, 0, 0, 720, 0, 0, 0, 6624, 0, 0, 0, -2436, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 24, 0, 0, 0, -1728, 0, 0, 0, 3096, 0, 0, 0, 0, 0, 0, 0, 2340, 0, 0, 0, -2184, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, -2976, 0, 0, 0, -216, 0, 0, 0, -6372, 0, 0, 0, 2520, 0, 0, 0, 2040, 0, 0, 0, 2304, 0, 0, 0, -3780, 0, 0, 0, -1224, 0, 0, 0, 0, 0, 0, 0, -3288, 0, 0, 0, 1596, 0, 0, 0, -7488, 0, 0, 0, 7560, 0, 0, 0, -480, 0, 0, 0, 7740, 0, 0, 0, -5088, 0, 0, 0, 936, 0, 0, 0, 0, 0, 0, 0, 600, 0, 0, 0, -1008, 0, 0, 0, -936, 0, 0, 0, 5544, 0, 0, 0, -1968, 0, 0, 0, 5184, 0, 0, 0, -1368, 0, 0, 0, 1848, 0, 0, 0, 0, 0, 0, 0, 960, 0, 0, 0, -204, 0, 0, 0, -2376, 0, 0, 0, 1728, 0, 0, 0, 240, 0, 0, 0, 1944, 0, 0, 0, -2136, 0, 0, 0, -1800, 0, 0, 0, 0, 0, 0, 0, -3804, 0, 0, 0, 1464, 0, 0, 0, -7884, 0, 0, 0, 1800, 0, 0, 0, 984, 0, 0, 0, -576, 0, 0, 0, -4152, 0, 0, 0, 1152, 0, 0, 0, 0, 0, 0, 0, -6456, 0, 0, 0, -1668, 0, 0, 0, -7416, 0, 0, 0, 6336, 0, 0, 0, -2688, 0, 0, 0, 5220, 0, 0, 0, -3384, 0, 0, 0, 1572, 0, 0, 0, 0, 0, 0, 0, 1920, 0, 0, 0, -2232, 0, 0, 0, 2268, 0, 0, 0, 8496, 0, 0, 0, 24, 0, 0, 0, 8208, 0, 0, 0, -1140, 0, 0, 0, -3408, 0, 0, 0, 0, 0, 0, 0, 3216, 0, 0, 0, 1080, 0, 0, 0, 6264, 0, 0, 0, 684, 0, 0, 0, -240, 0, 0, 0, -2376, 0, 0, 0, 1512, 0, 0, 0, 1356, 0, 0, 0, 0, 0, 0, 0, -7896, 0, 0, 0, -840, 0, 0, 0, -9504, 0, 0, 0, -1728, 0, 0, 0, -4128, 0, 0, 0, -360, 0, 0, 0, -5400, 0, 0, 0, 840, 0, 0, 0, 0, 0, 0, 0, -3312, 0, 0, 0, -3264, 0, 0, 0, -9432, 0, 0, 0, 4860, 0, 0, 0, 6864, 0, 0, 0, 3312, 0, 0, 0, -7056, 0, 0, 0, -2976, 0, 0, 0, 0, 0, 0, 0, 5784, 0, 0, 0, 3264, 0, 0, 0, 4824, 0, 0, 0, 6048, 0, 0, 0, -1872, 0, 0, 0, 3672, 0, 0, 0, 1056, 0, 0, 0, 3432, 0, 0, 0, 0, 0, 0, 0, 3360, 0, 0, 0, -660, 0, 0, 0, 1944, 0, 0, 0, -3888, 0, 0, 0, -7680, 0, 0, 0, -2916, 0, 0, 0, 2088, 0, 0, 0, 1596, 0, 0, 0, 0, 0, 0, 0, -7464, 0, 0, 0, -1200, 0, 0, 0, -6480, 0, 0, 0, -3312, 0, 0, 0, 9456, 0, 0, 0, -6264, 0, 0, 0, -2304, 0, 0, 0, -2448, 0, 0, 0, 0, 0, 0, 0, -8952, 0, 0, 0, 5808, 0, 0, 0, -6624, 0, 0, 0, 7056, 0, 0, 0, 3744, 0, 0, 0, 7560, 0, 0, 0, 576, 0, 0, 0, 2040, 0, 0, 0, 0, 0, 0, 0, 9924, 0, 0, 0, -984, 0, 0, 0, 6768, 0, 0, 0, 2448, 0, 0, 0, -4800, 0, 0, 0, 6264, 0, 0, 0, 6840, 0, 0, 0, -552, 0, 0, 0, 0, 0, 0, 0, 12840, 0, 0, 0, -1428, 0, 0, 0, 12744, 0, 0, 0, -8964, 0, 0, 0, 5712, 0, 0, 0, -5220, 0, 0, 0, 5088, 0, 0, 0, -4704, 0, 0, 0, 0, 0, 0, 0, -5232, 0, 0, 0, 2232, 0, 0, 0], 'weight': 3, 'weight_parity': -1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.5511761360373116, -0.8343889183486193], [0.0, 0.0], [0.14423040106423776, 0.08327146087976536], [0.0, 0.0], [-0.18007243500005396, -0.3118946064627376], [0.0, 0.0], [-0.3924097341259578, -0.9197905199354879], [0.0, 0.0], [0.8615395350279491, -0.49741008246589147], [0.0, 0.0], [-0.3357332039903197, 0.5815069670991198], [0.0, 0.0], [0.14897713933047513, -0.07444700628708567], [0.0, 0.0], [0.0, -1.227278648842391], [0.0, 0.0], [0.07902646176627812, 0.0], [0.0, 0.0], [-0.3594930322553716, -0.02165841977691258], [0.0, 0.0], [0.04356923428729446, 0.02515470914415533], [0.0, 0.0], [-0.4861317276058994, -0.8420048513846515], [0.0, 0.0], [-0.9837498980352601, -0.1795442511349649], [0.0, 0.0], [-0.5425762097324295, 0.313256520744905], [0.0, 0.0], [0.8287388325586739, -1.4354177641969397], [0.0, 0.0], [0.059826571275674444, -0.9930196080260935], [0.0, 0.0], [0.0, -0.05997957890652433], [0.0, 0.0], [0.21458147562654578, 0.0], [0.0, 0.0], [0.3001548391752098, 0.6006448281356682], [0.0, 0.0], [-0.5338566675954877, -0.3082222907449314], [0.0, 0.0], [0.44980996627200137, 0.7790937153339494], [0.0, 0.0], [0.01999488696388922, -0.16533828740948803], [0.0, 0.0], [-1.2692735292670854, 0.732815413797618], [0.0, 0.0], [0.4351478363063027, -0.7536981612861812], [0.0, 0.0], [-1.0240277043199575, -0.6764467035100418], [0.0, 0.0], [0.0, -0.8777271577112575], [0.0, 0.0], [0.16568025689303736, 0.0], [0.0, 0.0], [0.04355749984103752, -0.06593880395408332], [0.0, 0.0], [1.510688132708187, 0.8721962000806448], [0.0, 0.0], [-0.7240180115871683, -1.2540359816639677], [0.0, 0.0], [-0.21621552590165083, 0.2880193982121121], [0.0, 0.0], [-0.09684586932421071, 0.05591398872423638], [0.0, 0.0], [-0.1689430270797376, 0.29261790648659025], [0.0, 0.0], [0.0450031327587412, -0.022489010881035238], [0.0, 0.0], [0.0, 1.468396626518352], [0.0, 0.0], [-1.03029516052666, 0.0], [0.0, 0.0], [-0.970503724418092, -0.05847005413883106], [0.0, 0.0], [-0.31027904384259414, -0.17913968948642142], [0.0, 0.0], [-0.6565522624567185, -1.1371818763993327], [0.0, 0.0], [-0.6920292011263902, 0.7218695067589226], [0.0, 0.0], [0.6475891696722004, -0.3738857814345311], [0.0, 0.0], [0.10219728599565045, -0.17701089174011386], [0.0, 0.0], [-0.03767728927609739, 0.6253790954530042], [0.0, 0.0], [0.0, -0.021991227440313857], [0.0, 0.0], [0.24182518221162677, 0.0], [0.0, 0.0], [-0.7409156081329155, -1.4826585149615155], [0.0, 0.0], [0.011398018275237945, 0.006580648919436901], [0.0, 0.0], [0.6104855595660793, 1.0573920064555655], [0.0, 0.0], [-0.795589578251775, -0.5972473386563246], [0.0, 0.0], [0.4776334226922933, -0.2757617851653578], [0.0, 0.0], [0.9803275693311242, -1.6979771581420082], [0.0, 0.0], [-0.0500462959668205, -0.033059312542843125], [0.0, 0.0], [0.0, 0.5157941275996123], [0.0, 0.0], [0.409987917517233, 0.0], [0.0, 0.0], [0.11827218860102408, -0.17904440534568417], [0.0, 0.0], [0.828960163258896, 0.4786003734049997], [0.0, 0.0], [0.004189338756878813, 0.007256147577031544], [0.0, 0.0], [0.6666095729293053, 0.08061522390610566], [0.0, 0.0], [-0.3827815912008179, 0.22099905472062548], [0.0, 0.0], [-0.005166419722550126, 0.00894850145268272], [0.0, 0.0], [-0.5514263190286334, 0.27555931617483725], [0.0, 0.0], [0.0, -0.3284665183105203], [0.0, 0.0], [1.3557267847190577, 0.0], [0.0, 0.0], [0.8979916815905764, 0.05410141240859533], [0.0, 0.0], [0.5864031278365573, 0.33856000371007494], [0.0, 0.0], [-0.014230487399692364, -0.024647927192735893], [0.0, 0.0], [-0.12693573025595659, -0.10781403049969053], [0.0, 0.0], [-0.56653717786022, 0.32709039214352886], [0.0, 0.0], [0.5380709065257855, -0.9319661481773047], [0.0, 0.0], [-0.08814021896808333, 1.4629781353792526], [0.0, 0.0], [0.0, 0.6679883227334514], [0.0, 0.0], [-0.10434131245016305, 0.0], [0.0, 0.0], [-0.3890342905366154, -0.7785029727335019], [0.0, 0.0], [0.8141767008405136, 0.47006513739819195], [0.0, 0.0], [-0.4805697814365141, -0.832371278030313], [0.0, 0.0], [-1.1288392665244658, 0.4815960882907073], [0.0, 0.0], [0.23905866839489143, -0.13802058654990404], [0.0, 0.0], [-0.7868759113502791, 1.3629090577107472], [0.0, 0.0], [-0.7323658137279042, -0.483782263282303], [0.0, 0.0], [0.0, -0.018118678909224695], [0.0, 0.0], [1.1616098701362443, 0.0], [0.0, 0.0], [0.09131900381197351, -0.1382417703407028], [0.0, 0.0], [1.2009761799773664, 0.6933839208002609], [0.0, 0.0], [0.2745664314767888, 0.47556300937067686], [0.0, 0.0], [-0.031010752850620365, -0.0726877903566669], [0.0, 0.0], [-1.3000326264159927, 0.7505741868165696], [0.0, 0.0], [-0.1750778478415545, 0.3032437277413855], [0.0, 0.0], [1.5604060917165852, -0.7797677055856037], [0.0, 0.0], [0.0, 1.231048696391661], [0.0, 0.0], [1.5811557604560706, 0.0], [0.0, 0.0], [-1.4454151763588798, -0.08708210127216723], [0.0, 0.0], [0.03094917229057266, 0.017868512953158232], [0.0, 0.0], [-0.6104607739293215, -1.0573490764734033], [0.0, 0.0], [0.12114735601987726, 0.33915725779760003], [0.0, 0.0], 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[-0.09046242575352803, 0.15668551758103783], [0.0, 0.0], [0.47216661364872237, -0.23595157628099073], [0.0, 0.0], [0.0, 0.045259355486858055], [0.0, 0.0], [1.4240533436371048, 0.0], [0.0, 0.0], [-0.901646183410775, -0.054321585617518965], [0.0, 0.0], [-0.018765284071549565, -0.010834141810128938], [0.0, 0.0], [0.5633037514358195, 0.9756707175809892], [0.0, 0.0], [-0.21109450476787006, -0.038526870348803886], [0.0, 0.0]], 'angles': [None, None, -0.1533982376323401, -0.11214994157343376, -0.2504755559686807, -0.47115869405634525, -0.3948524511686821, -0.24370963641010734, -0.1626627480357554, -0.38404331550977355, -0.2611961034902332, -0.23289121697151605, -0.2165336946947435, -0.009079188226696122, -0.46423039537056254, -0.42769056817067735, 0.001985732874934766, -0.45447994676899933, -0.4436843614235583, 0.13122088323804587, -0.3361314443497512, -0.46934040063313315, -0.27234593316661504, -0.4982499584585358, 0.0211795010239814, -0.28886828688889477, -0.19828789178247025, 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-0.23259351789286495, -0.12388874703435498, 0.011901620847914554], 'char_orbit_index': 17, 'conrey_index': 257, 'dual_conrey_index': 65, 'dual_embedding_index': 8, 'dual_embedding_m': 8, 'embedding_index': 8, 'embedding_m': 20, 'hecke_orbit': 12, 'hecke_orbit_code': 49540695463035456, 'label': '576.3.q.l.257.8', 'level': 576, 'weight': 3}
• mf_newspaces •

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

  
  {'Nk2': 5184, 'analytic_conductor': 15.694863227153101, 'char_conductor': 9, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 6, 'char_parity': -1, 'char_values': [576, 6, [127, 325, 65], [6, 6, 1]], 'conrey_index': 65, 'cusp_dim': 360, 'dim': 92, 'eis_dim': 48, 'eis_new_dim': 8, 'hecke_cutter_primes': [5, 7], 'hecke_orbit_code': 1099561960000, 'hecke_orbit_dims': [2, 2, 4, 4, 4, 4, 4, 4, 8, 8, 24, 24], 'label': '576.3.q', 'level': 576, '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': [2, 3], 'level_radical': 6, 'mf_dim': 408, 'mf_new_dim': 100, 'num_forms': 12, 'prim_orbit_index': 4, 'relative_dim': 46, 'sturm_bound': 288, 'trace_bound': 9, 'trace_display': [0, 0, 6, 0], 'traces': [92, 0, 0, 0, 6, 0, 0, 0, -4, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, -14, 0, 0, 0, 188, 0, 0, 0, 6, 0, 0, 0, -54, 0, 0, 0, 8, 0, 0, 0, 138, 0, 0, 0, 6, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 2, 0, 0, 0, -6, 0, 0, 0, 262, 0, 0, 0, -8, 0, 0, 0, 6, 0, 0, 0, 140, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 706, 0, 0, 0, -2, 0, 0, 0, -426, 0, 0, 0, -80, 0, 0, 0, -88, 0, 0, 0, -6, 0, 0, 0, 322, 0, 0, 0, 284, 0, 0, 0, 0, 0, 0, 0, -450, 0, 0, 0, -140, 0, 0, 0, 138, 0, 0, 0, 550, 0, 0, 0, -108, 0, 0, 0, -858, 0, 0, 0, -16, 0, 0, 0, 338, 0, 0, 0, 0, 0, 0, 0, -244, 0, 0, 0, -288, 0, 0, 0, 6, 0, 0, 0, -134, 0, 0, 0, 8, 0, 0, 0, -156, 0, 0, 0, -686, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 926, 0, 0, 0, 102, 0, 0, 0, -732, 0, 0, 0, -1584, 0, 0, 0, 188, 0, 0, 0, -1008, 0, 0, 0, 172, 0, 0, 0, -526, 0, 0, 0, 0, 0, 0, 0, -1278, 0, 0, 0, -2, 0, 0, 0, 1008, 0, 0, 0, 250, 0, 0, 0, 492, 0, 0, 0, -726, 0, 0, 0, -1466, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -436, 0, 0, 0, 626, 0, 0, 0, -582, 0, 0, 0, -260, 0, 0, 0, -580, 0, 0, 0, 1014, 0, 0, 0, 810, 0, 0, 0, -194, 0, 0, 0, 0, 0, 0, 0, -62, 0, 0, 0, -242, 0, 0, 0, 2166, 0, 0, 0, 1088, 0, 0, 0, -568, 0, 0, 0, -294, 0, 0, 0, 1784, 0, 0, 0, 334, 0, 0, 0, 0, 0, 0, 0, 1082, 0, 0, 0, 2, 0, 0, 0, -726, 0, 0, 0, 2112, 0, 0, 0, 372, 0, 0, 0, 4476, 0, 0, 0, -1030, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1368, 0, 0, 0, 42, 0, 0, 0, -1146, 0, 0, 0, -22, 0, 0, 0, 1928, 0, 0, 0, -6, 0, 0, 0, 2934, 0, 0, 0, -530, 0, 0, 0, 0, 0, 0, 0, 1726, 0, 0, 0, 722, 0, 0, 0, 864, 0, 0, 0, -2208, 0, 0, 0, -8, 0, 0, 0, 876, 0, 0, 0, 512, 0, 0, 0, -1056, 0, 0, 0, 0, 0, 0, 0, -94, 0, 0, 0, 622, 0, 0, 0, -6474, 0, 0, 0, 858, 0, 0, 0, -2012, 0, 0, 0, 1866, 0, 0, 0, -2528, 0, 0, 0, -340, 0, 0, 0, 0, 0, 0, 0, -3352, 0, 0, 0, -576, 0, 0, 0, 3168, 0, 0, 0, -410, 0, 0, 0, -108, 0, 0, 0, -5034, 0, 0, 0, -1944, 0, 0, 0, 2070, 0, 0, 0, 0, 0, 0, 0, -1876, 0, 0, 0, 44, 0, 0, 0, -858, 0, 0, 0, -1872, 0, 0, 0, 200, 0, 0, 0, 1284, 0, 0, 0, -2782, 0, 0, 0, 194, 0, 0, 0, 0, 0, 0, 0, 592, 0, 0, 0, -1290, 0, 0, 0, 1002, 0, 0, 0, 2934, 0, 0, 0, 1624, 0, 0, 0, -4602, 0, 0, 0, -2214, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, -1848, 0, 0, 0, -2, 0, 0, 0, 6492, 0, 0, 0, -2822, 0, 0, 0, 8, 0, 0, 0, 858, 0, 0, 0, 6646, 0, 0, 0, 98, 0, 0, 0, 0, 0, 0, 0, 238, 0, 0, 0, -1680, 0, 0, 0, 4314, 0, 0, 0, 992, 0, 0, 0, -2316, 0, 0, 0, 6486, 0, 0, 0, 1768, 0, 0, 0, 1058, 0, 0, 0, 0, 0, 0, 0, 5282, 0, 0, 0, -2, 0, 0, 0, 7494, 0, 0, 0, -486, 0, 0, 0, -4788, 0, 0, 0, -3312, 0, 0, 0, 3814, 0, 0, 0, 576, 0, 0, 0, 0, 0, 0, 0, -5660, 0, 0, 0, -1246, 0, 0, 0, -3174, 0, 0, 0, -3802, 0, 0, 0, -4, 0, 0, 0, 5052, 0, 0, 0, -3844, 0, 0, 0, 1202, 0, 0, 0, 0, 0, 0, 0, 2580, 0, 0, 0, -582, 0, 0, 0, -11088, 0, 0, 0, 1072, 0, 0, 0, 5480, 0, 0, 0, -3462, 0, 0, 0, -14480, 0, 0, 0, 670, 0, 0, 0, 0, 0, 0, 0, 5036, 0, 0, 0, -240, 0, 0, 0, -6, 0, 0, 0, 22, 0, 0, 0, 668, 0, 0, 0, -7194, 0, 0, 0, 3616, 0, 0, 0, -1302, 0, 0, 0, 0, 0, 0, 0, -5560, 0, 0, 0, -1828, 0, 0, 0, -6330, 0, 0, 0, -1452, 0, 0, 0, -3544, 0, 0, 0, -2592, 0, 0, 0, -2270, 0, 0, 0, -1348, 0, 0, 0, 0, 0, 0, 0, -3922, 0, 0, 0, -718, 0, 0, 0, -6918, 0, 0, 0, 4112, 0, 0, 0, 84, 0, 0, 0, -7050, 0, 0, 0, 3390, 0, 0, 0, 1010, 0, 0, 0, 0, 0, 0, 0, -6522, 0, 0, 0, 1628, 0, 0, 0, 10092, 0, 0, 0, 7130, 0, 0, 0, 1344, 0, 0, 0, 5316, 0, 0, 0, 13446, 0, 0, 0, 42, 0, 0, 0, 0, 0, 0, 0, 2520, 0, 0, 0, 4664, 0, 0, 0, -4326, 0, 0, 0, -1434, 0, 0, 0, -8, 0, 0, 0, 10806, 0, 0, 0, 3952, 0, 0, 0, -2636, 0, 0, 0, 0, 0, 0, 0, 13030, 0, 0, 0, 432, 0, 0, 0, 12966, 0, 0, 0, -3040, 0, 0, 0, -860, 0, 0, 0, 7194, 0, 0, 0, 4392, 0, 0, 0, 1104, 0, 0, 0, 0, 0, 0, 0, 4862, 0, 0, 0, 194, 0, 0, 0], 'weight': 3, '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: 47447748
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 257, 'target_dim': 24, 'target_embedding_index': 8, 'target_hecke_orbit_code': 49540695463035456, 'target_is_minimal': False, 'target_label': '576.3.q.l.257.8', 'target_level': 576, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 47447749
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 449, 'target_dim': 24, 'target_embedding_index': 8, 'target_hecke_orbit_code': 45037095835666112, 'target_is_minimal': False, 'target_label': '1728.3.q.k.449.8', 'target_level': 1728, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 47447750
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 257, 'target_dim': 24, 'target_embedding_index': 5, 'target_hecke_orbit_code': 49540695463035456, 'target_is_minimal': False, 'target_label': '576.3.q.l.257.5', 'target_level': 576, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 47447751
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 257, 'target_dim': 24, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4504699189330208, 'target_is_minimal': True, 'target_label': '288.3.q.b.257.8', 'target_level': 288, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 47447752
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 257, 'target_dim': 24, 'target_embedding_index': 5, 'target_hecke_orbit_code': 4504699189330208, 'target_is_minimal': True, 'target_label': '288.3.q.b.257.5', 'target_level': 288, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 47447753
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 65, 'target_dim': 24, 'target_embedding_index': 8, 'target_hecke_orbit_code': 49540695463035456, 'target_is_minimal': False, 'target_label': '576.3.q.l.65.8', 'target_level': 576, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 47447754
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 1601, 'target_dim': 24, 'target_embedding_index': 8, 'target_hecke_orbit_code': 45037095835666112, 'target_is_minimal': False, 'target_label': '1728.3.q.k.1601.8', 'target_level': 1728, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 3}
  • id: 47447755
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 449, 'target_dim': 24, 'target_embedding_index': 7, 'target_hecke_orbit_code': 45037095835666112, 'target_is_minimal': False, 'target_label': '1728.3.q.k.449.7', 'target_level': 1728, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 3}
  • id: 47447756
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 449, 'target_dim': 24, 'target_embedding_index': 6, 'target_hecke_orbit_code': 1099561960288, 'target_is_minimal': False, 'target_label': '864.3.q.a.449.6', 'target_level': 864, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 47447757
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 449, 'target_dim': 24, 'target_embedding_index': 5, 'target_hecke_orbit_code': 1099561960288, 'target_is_minimal': False, 'target_label': '864.3.q.a.449.5', 'target_level': 864, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 3}
  • id: 47447758
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 1601, 'target_dim': 24, 'target_embedding_index': 7, 'target_hecke_orbit_code': 45037095835666112, 'target_is_minimal': False, 'target_label': '1728.3.q.k.1601.7', 'target_level': 1728, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '36.7', 'twisting_conrey_index': 7, 'weight': 3}
  • id: 47447759
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 65, 'target_dim': 24, 'target_embedding_index': 5, 'target_hecke_orbit_code': 49540695463035456, 'target_is_minimal': False, 'target_label': '576.3.q.l.65.5', 'target_level': 576, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '36.11', 'twisting_conrey_index': 11, 'weight': 3}
  • id: 47447760
    {'conductor': 72, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 161, 'target_dim': 24, 'target_embedding_index': 13, 'target_hecke_orbit_code': 36029071947205152, 'target_is_minimal': False, 'target_label': '2592.3.e.i.161.13', 'target_level': 2592, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '72.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 47447761
    {'conductor': 72, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 65, 'target_dim': 24, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4504699189330208, 'target_is_minimal': True, 'target_label': '288.3.q.b.65.8', 'target_level': 288, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '72.11', 'twisting_conrey_index': 11, 'weight': 3}
  • id: 47447762
    {'conductor': 72, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 161, 'target_dim': 24, 'target_embedding_index': 14, 'target_hecke_orbit_code': 36029071947205152, 'target_is_minimal': False, 'target_label': '2592.3.e.i.161.14', 'target_level': 2592, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '72.13', 'twisting_conrey_index': 13, 'weight': 3}
  • id: 47447763
    {'conductor': 72, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 65, 'target_dim': 24, 'target_embedding_index': 5, 'target_hecke_orbit_code': 4504699189330208, 'target_is_minimal': True, 'target_label': '288.3.q.b.65.5', 'target_level': 288, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '72.29', 'twisting_conrey_index': 29, 'weight': 3}
  • id: 47447764
    {'conductor': 72, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 737, 'target_dim': 24, 'target_embedding_index': 5, 'target_hecke_orbit_code': 1099561960288, 'target_is_minimal': False, 'target_label': '864.3.q.a.737.5', 'target_level': 864, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '72.43', 'twisting_conrey_index': 43, 'weight': 3}
  • id: 47447765
    {'conductor': 72, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 161, 'target_dim': 24, 'target_embedding_index': 11, 'target_hecke_orbit_code': 36029071947205152, 'target_is_minimal': False, 'target_label': '2592.3.e.i.161.11', 'target_level': 2592, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '72.59', 'twisting_conrey_index': 59, 'weight': 3}
  • id: 47447766
    {'conductor': 72, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 737, 'target_dim': 24, 'target_embedding_index': 6, 'target_hecke_orbit_code': 1099561960288, 'target_is_minimal': False, 'target_label': '864.3.q.a.737.6', 'target_level': 864, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '72.61', 'twisting_conrey_index': 61, 'weight': 3}
  • id: 47447767
    {'conductor': 72, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 257, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 49540695463035456, 'source_is_minimal': False, 'source_label': '576.3.q.l.257.8', 'source_level': 576, 'target_conrey_index': 161, 'target_dim': 24, 'target_embedding_index': 12, 'target_hecke_orbit_code': 36029071947205152, 'target_is_minimal': False, 'target_label': '2592.3.e.i.161.12', 'target_level': 2592, 'twist_class_label': '288.3.q.b.65.5', 'twist_class_level': 288, 'twisting_char_label': '72.67', 'twisting_conrey_index': 67, 'weight': 3}
• hecke_orbit_code 49540695463035456 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': 17, 'hecke_orbit': 12, 'label': '576.3.q.l', 'level': 576, 'portrait': 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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 56992693
    {'hecke_orbit_code': 49540695463035456, 'n': 1, 'trace_an': 24}
  • id: 56992694
    {'hecke_orbit_code': 49540695463035456, 'n': 2, 'trace_an': 0}
  • id: 56992695
    {'hecke_orbit_code': 49540695463035456, 'n': 3, 'trace_an': 0}
  • id: 56992696
    {'hecke_orbit_code': 49540695463035456, 'n': 4, 'trace_an': 0}
  • id: 56992697
    {'hecke_orbit_code': 49540695463035456, 'n': 5, 'trace_an': 0}
  • id: 56992698
    {'hecke_orbit_code': 49540695463035456, 'n': 6, 'trace_an': 0}
  • id: 56992699
    {'hecke_orbit_code': 49540695463035456, 'n': 7, 'trace_an': 0}
  • id: 56992700
    {'hecke_orbit_code': 49540695463035456, 'n': 8, 'trace_an': 0}
  • id: 56992701
    {'hecke_orbit_code': 49540695463035456, 'n': 9, 'trace_an': 12}
  • id: 56992702
    {'hecke_orbit_code': 49540695463035456, 'n': 10, 'trace_an': 0}
  • id: 56992703
    {'hecke_orbit_code': 49540695463035456, 'n': 11, 'trace_an': 0}
  • id: 56992704
    {'hecke_orbit_code': 49540695463035456, 'n': 12, 'trace_an': 0}
  • id: 56992705
    {'hecke_orbit_code': 49540695463035456, 'n': 13, 'trace_an': 0}
  • id: 56992706
    {'hecke_orbit_code': 49540695463035456, 'n': 14, 'trace_an': 0}
  • id: 56992707
    {'hecke_orbit_code': 49540695463035456, 'n': 15, 'trace_an': 0}
  • id: 56992708
    {'hecke_orbit_code': 49540695463035456, 'n': 16, 'trace_an': 0}
  • id: 56992709
    {'hecke_orbit_code': 49540695463035456, 'n': 17, 'trace_an': 0}
  • id: 56992710
    {'hecke_orbit_code': 49540695463035456, 'n': 18, 'trace_an': 0}
  • id: 56992711
    {'hecke_orbit_code': 49540695463035456, 'n': 19, 'trace_an': 0}
  • id: 56992712
    {'hecke_orbit_code': 49540695463035456, 'n': 20, 'trace_an': 0}
  • id: 56992713
    {'hecke_orbit_code': 49540695463035456, 'n': 21, 'trace_an': -24}
  • id: 56992714
    {'hecke_orbit_code': 49540695463035456, 'n': 22, 'trace_an': 0}
  • id: 56992715
    {'hecke_orbit_code': 49540695463035456, 'n': 23, 'trace_an': 0}
  • id: 56992716
    {'hecke_orbit_code': 49540695463035456, 'n': 24, 'trace_an': 0}
  • id: 56992717
    {'hecke_orbit_code': 49540695463035456, 'n': 25, 'trace_an': 60}
  • id: 56992718
    {'hecke_orbit_code': 49540695463035456, 'n': 26, 'trace_an': 0}
  • id: 56992719
    {'hecke_orbit_code': 49540695463035456, 'n': 27, 'trace_an': 0}
  • id: 56992720
    {'hecke_orbit_code': 49540695463035456, 'n': 28, 'trace_an': 0}
  • id: 56992721
    {'hecke_orbit_code': 49540695463035456, 'n': 29, 'trace_an': -72}
  • id: 56992722
    {'hecke_orbit_code': 49540695463035456, 'n': 30, 'trace_an': 0}
  • id: 56992723
    {'hecke_orbit_code': 49540695463035456, 'n': 31, 'trace_an': 0}
  • id: 56992724
    {'hecke_orbit_code': 49540695463035456, 'n': 32, 'trace_an': 0}
  • id: 56992725
    {'hecke_orbit_code': 49540695463035456, 'n': 33, 'trace_an': 108}
  • id: 56992726
    {'hecke_orbit_code': 49540695463035456, 'n': 34, 'trace_an': 0}
  • id: 56992727
    {'hecke_orbit_code': 49540695463035456, 'n': 35, 'trace_an': 0}
  • id: 56992728
    {'hecke_orbit_code': 49540695463035456, 'n': 36, 'trace_an': 0}
  • id: 56992729
    {'hecke_orbit_code': 49540695463035456, 'n': 37, 'trace_an': 0}
  • id: 56992730
    {'hecke_orbit_code': 49540695463035456, 'n': 38, 'trace_an': 0}
  • id: 56992731
    {'hecke_orbit_code': 49540695463035456, 'n': 39, 'trace_an': 0}
  • id: 56992732
    {'hecke_orbit_code': 49540695463035456, 'n': 40, 'trace_an': 0}
  • id: 56992733
    {'hecke_orbit_code': 49540695463035456, 'n': 41, 'trace_an': 252}
  • id: 56992734
    {'hecke_orbit_code': 49540695463035456, 'n': 42, 'trace_an': 0}
  • id: 56992735
    {'hecke_orbit_code': 49540695463035456, 'n': 43, 'trace_an': 0}
  • id: 56992736
    {'hecke_orbit_code': 49540695463035456, 'n': 44, 'trace_an': 0}
  • id: 56992737
    {'hecke_orbit_code': 49540695463035456, 'n': 45, 'trace_an': -72}
  • id: 56992738
    {'hecke_orbit_code': 49540695463035456, 'n': 46, 'trace_an': 0}
  • id: 56992739
    {'hecke_orbit_code': 49540695463035456, 'n': 47, 'trace_an': 0}
  • id: 56992740
    {'hecke_orbit_code': 49540695463035456, 'n': 48, 'trace_an': 0}
  • id: 56992741
    {'hecke_orbit_code': 49540695463035456, 'n': 49, 'trace_an': -36}
  • id: 56992742
    {'hecke_orbit_code': 49540695463035456, 'n': 50, 'trace_an': 0}
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  • id: 56992938
    {'hecke_orbit_code': 49540695463035456, 'n': 919, 'trace_an': 0}
  • id: 56992939
    {'hecke_orbit_code': 49540695463035456, 'n': 929, 'trace_an': 6768}
  • id: 56992940
    {'hecke_orbit_code': 49540695463035456, 'n': 937, 'trace_an': -4800}
  • id: 56992941
    {'hecke_orbit_code': 49540695463035456, 'n': 941, 'trace_an': 6264}
  • id: 56992942
    {'hecke_orbit_code': 49540695463035456, 'n': 947, 'trace_an': 0}
  • id: 56992943
    {'hecke_orbit_code': 49540695463035456, 'n': 953, 'trace_an': 0}
  • id: 56992944
    {'hecke_orbit_code': 49540695463035456, 'n': 961, 'trace_an': -1428}
  • id: 56992945
    {'hecke_orbit_code': 49540695463035456, 'n': 967, 'trace_an': 0}
  • id: 56992946
    {'hecke_orbit_code': 49540695463035456, 'n': 971, 'trace_an': 0}
  • id: 56992947
    {'hecke_orbit_code': 49540695463035456, 'n': 977, 'trace_an': -5220}
  • id: 56992948
    {'hecke_orbit_code': 49540695463035456, 'n': 983, 'trace_an': 0}
  • id: 56992949
    {'hecke_orbit_code': 49540695463035456, 'n': 991, 'trace_an': 0}
  • id: 56992950
    {'hecke_orbit_code': 49540695463035456, 'n': 997, 'trace_an': 2232}