Embedded newform data - 441.4.e.z.226.4

Formats: - HTML - YAML - JSON - 2024-05-01T17:44:08.807079

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 7056, 'analytic_conductor': 26.019842312531612, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 7, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 3, 'char_parity': 1, 'char_values': [441, 3, [344, 199], [3, 1]], 'cm_discs': [], 'conrey_index': 226, 'conrey_indexes': [226, 361], 'dim': 16, 'field_disc': 120521995172352663283123909636638375936, 'field_disc_factorization': [[2, 28], [3, 8], [7, 4], [641, 8]], 'field_poly': [6250000, 0, 22070000, 0, 74261084, 0, 12598332, 0, 1502189, 0, 91050, 0, 4007, 0, 74, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [12544, 0, 3696, 0, 977, 0, 33, 0, 1]], [5, [1176490000, 0, 13171200, 0, 113156, 0, 384, 0, 1]], [13, [4900, 0, -5268, 0, 1]]], 'hecke_orbit': 26, 'hecke_orbit_code': 112590265629278649, 'hecke_ring_generator_nbound': 25, 'hecke_ring_index': 614656, 'hecke_ring_index_factorization': [[2, 8], [7, 4]], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 3, 1, 3, 0], [1, 1, 7, 4, -1, 6, 0], [1, 1, 21, 8, -1, 6, 0], [1, 1, 21, 7, 1, 6, 0], [1, 1, 3, 2, -1, 2, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 21, 3, 1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '441.4.e.z', 'level': 441, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'minimal_twist': '441.4.a.x', 'prim_orbit_index': 3, 'qexp_display': 'q-\\beta _{4}q^{2}+(-9+9\\beta _{2}+\\beta _{7})q^{4}-\\beta _{6}q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '3.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '441.4.e', 'trace_display': [0, 0, 0, 0], 'trace_hash': 654228600683101466, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.179', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.820', 'prec': 20}, {'__RealLiteral__': 0, 'data': '85.878', 'prec': 20}, {'__RealLiteral__': 0, 'data': '3468.823', 'prec': 27}, {'__RealLiteral__': 0, 'data': '45747.338', 'prec': 30}, {'__RealLiteral__': 0, 'data': '1448315.333', 'prec': 37}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.765', 'prec': 17}, 'traces': [16, 0, 0, -68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -804, 0, 0, 0, 0, 0, 1952, 0, 0, -536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 4320, 0, 0, 768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2184, 0, 0, 0, 0, 0, 15176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5392, 0, 0, 0, 0, 0, 5728, 0, 0, -5616, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9684, 0, 0, 0, 0, 0, 7520, 0, 0, -9264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1256, 0, 0, 0, 0, 0, 6016, 0, 0, 24328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21984, 0, 0, 0, 0, 0, -60448, 0, 0, -9360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9408, 0, 0, 0, 0, 0, 6992, 0, 0, 7280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20896, 0, 0, 0, 0, 0, -92992, 0, 0, -1728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5104, 0, 0, 0, 0, 0, 14144, 0, 0, 29648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -15232, 0, 0, 0, 0, 0, -33712, 0, 0, -44752, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -31184, 0, 0, 0, 0, 0, 1696, 0, 0, -4900, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51280, 0, 0, 0, 0, 0, -49936, 0, 0, 6368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2680, 0, 0, 0, 0, 0, 7136, 0, 0, 44272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6976, 0, 0, 0, 0, 0, 163456, 0, 0, -35728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6848, 0, 0, 0, 0, 0, 96192, 0, 0, 57704, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -99312, 0, 0, 0, 0, 0, -89952, 0, 0, -37448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22640, 0, 0, 0, 0, 0, 132032, 0, 0, -36960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11600, 0, 0, 0, 0, 0, 200040, 0, 0, -16784, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -90496, 0, 0, 0, 0, 0, 40704, 0, 0, -99312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -135152, 0, 0, 0, 0, 0, 92496, 0, 0, -4112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 74064, 0, 0, 0, 0, 0, 29504, 0, 0, 128888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13696, 0, 0, 0, 0, 0, -52120, 0, 0, 26800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -85136, 0, 0, 0, 0, 0, -252992, 0, 0, -66592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 322408, 0, 0, 0, 0, 0, 104704, 0, 0, 73288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42720, 0, 0, 0, 0, 0, -93536, 0, 0, -85904, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88376, 0, 0, 0, 0, 0, -370688, 0, 0, -46544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2656, 0, 0, 0, 0, 0, -59456, 0, 0, 270480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -156480, 0, 0, 0, 0, 0, -111408, 0, 0, 121744, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 135576, 0, 0, 0, 0, 0, 192, 0, 0, -167632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13408, 0, 0, 0, 0, 0, -549664, 0, 0, -21600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -46032, 0, 0, 0, 0, 0, -17568, 0, 0, -296372, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13680, 0, 0, 0, 0, 0, 461088, 0, 0, 192736, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 203920, 0, 0, 0, 0, 0, -285792, 0, 0, -169120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -184072, 0, 0, 0, 0, 0, -189248, 0, 0, 3424, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -107296, 0, 0, 0, 0, 0, -242848, 0, 0, 361696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 175048, 0, 0, 0, 0, 0, 252752, 0, 0, 182128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24464, 0, 0, 0, 0, 0, 93600, 0, 0, -65320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 115264, 0, 0, 0, 0, 0, 795248, 0, 0, -138896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -178768, 0, 0, 0, 0, 0, 34480, 0, 0, -306256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19952, 0, 0, 0, 0, 0, 136576, 0, 0, 189344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36336, 0, 0, 0, 0, 0, -128224, 0, 0, -50640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -118624, 0, 0, 0, 0, 0, 589568, 0, 0, 100976, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -149776, 0, 0, 0, 0, 0, -237568, 0, 0, -192808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -621408, 0, 0, 0, 0, 0, 321920, 0, 0, 105728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160472, 0, 0, 0, 0, 0, 485632, 0, 0, -376712, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -356752, 0, 0, 0, 0, 0, 1340352, 0, 0, -97712, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 4, '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], [-0.34645576461991495, 0.6000789868968166], [0.0, 0.0], [0.25993680632326016, 0.45022375530907766], [0.5317218152291879, -0.9209691994697043], [0.0, 0.0], [0.0, 0.0], [-1.0531379491901653, 0.0], [0.0, 0.0], [0.3684361761206349, 0.6381501763873348], [-0.49904263469398225, -0.8643671984330121], [0.0, 0.0], [-0.020577778074258698, 0.0], [0.0, 0.0], [0.0, 0.0], [0.10492890711366769, -0.18174219830354785], [0.7008662655357907, 1.2139359812190496], [0.0, 0.0], [-0.6399543998226015, 1.108433535019993], [0.5528562820123271, 0.0], [0.0, 0.0], [0.6915847903233621, 0.0], [-0.24642441995060627, 0.42681961558013976], [0.0, 0.0], [-0.06545617758124539, -0.11337342523996793], [0.007129289836896218, -0.012348292219388683], [0.0, 0.0], [0.0, 0.0], [1.4709931271056833, 0.0], [0.0, 0.0], [0.370012730687036, 0.6408808489972462], [-0.4538625251054871, -0.7861129531342088], [0.0, 0.0], [-0.9712766316900269, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6927323085721881, 1.1998475544915113], [-0.4434317818248363, -0.7680463758114139], [0.0, 0.0], [-0.559976422030139, 0.9699076139968327], [1.5995194486351583, 0.0], [0.0, 0.0], [1.8554457715233619, 0.0], [0.2594390973629983, -0.44936169810252174], [0.0, 0.0], [-0.17075032167001264, -0.295748232541191], [0.41948311494431156, -0.726566068000803], [0.0, 0.0], [0.0, 0.0], [0.09071068021202924, 0.0], [0.0, 0.0], [-0.005348921913851613, -0.00926460452050955], [0.3253658130951828, 0.5635501193268159], [0.0, 0.0], [-1.061407422384963, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.5096340486020393, 0.8827120654457586], [0.45017684871630154, 0.7797291743678824], [0.0, 0.0], [-0.9031278408014091, 1.564263305998017], [-0.512772174117119, 0.0], [0.0, 0.0], [0.8388309668983229, 0.0], [-0.010941653511028217, 0.018951499799915266], [0.0, 0.0], [-0.4616542209459218, -0.7996085662069647], [-0.36436187744616694, 0.6310932840779457], [0.0, 0.0], [0.0, 0.0], [-0.8753804089255024, 0.0], [0.0, 0.0], [0.5050115631465127, 0.8747056857795384], [-0.48000220328659265, -0.8313882038373832], [0.0, 0.0], [-0.665390811529623, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.22754426468702701, 0.3941182274088315], [-0.11158597792098848, -0.193272583171411], [0.0, 0.0], [-0.5541627336013185, 0.9598380102587404], [-1.7313075854025994, 0.0], [0.0, 0.0], [1.4906635317743708, 0.0], [-0.6428298834839143, 1.113414018817721], [0.0, 0.0], [0.5255607368600773, 0.9102978987049911], [-0.20758142402955004, 0.35954157312667967], [0.0, 0.0], [0.0, 0.0], [-0.25621910688808985, 0.0], [0.0, 0.0], [0.2906646866663503, 0.5034460052722067], [0.6805554302751583, 1.1787565826034727], [0.0, 0.0], [0.16956885416737438, 0.0], [0.0, 0.0], [0.0, 0.0], [0.034028939509194216, -0.05893985215761232], [-0.10755379985739398, -0.18628864590010064], [0.0, 0.0], [-0.11053406991656675, 0.1914506250628642], [0.021671239000015153, 0.0], [0.0, 0.0], [-0.45089944622828765, 0.0], [0.8425626287337199, -1.4593612815255956], [0.0, 0.0], [-0.264063255264225, -0.4573709745296675], [0.3677307200956354, -0.63692829070953], [0.0, 0.0], [0.0, 0.0], [-0.3957266817800926, 0.0], [0.0, 0.0], [0.26205847978587216, 0.4538986015433922], [0.38236525558331685, 0.6622760497193642], [0.0, 0.0], [-0.6238654573447601, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0019128975153771778, -0.0033132356863055396], [-0.62578769326877, -1.083896079492838], [0.0, 0.0], [-0.1923598550274734, 0.33317704224416744], [0.9242257202125204, 0.0], [0.0, 0.0], [-0.02032370944106127, 0.0], [0.16324470108186606, -0.2827481163401861], [0.0, 0.0], [-0.0075815978667389166, -0.013131712707747618], [-0.7053873939405857, 1.2217668053236972], [0.0, 0.0], [0.0, 0.0], [0.6397710644313219, 0.0], [0.0, 0.0], [-0.7381088615429324, -1.2784420497091808], [-0.05529678202262327, -0.09577683595824481], [0.0, 0.0], [1.445691998101271, 0.0], [0.0, 0.0], [0.0, 0.0], [0.30328058890757875, -0.5252973889373365], [0.01026918858632612, 0.017786756384023255], [0.0, 0.0], [0.7821591357342935, -1.3547393626959583], [-0.6998566690072942, 0.0], [0.0, 0.0], [-0.7202664957087751, 0.0], [-0.4099004911124568, 0.7099684766542103], [0.0, 0.0], [-0.11060534858049341, -0.19157408333028078], [0.6739602642043976, -1.1673334198845606], [0.0, 0.0], [0.0, 0.0], [0.7869753632752777, 0.0], [0.0, 0.0], [-0.11526513942947457, -0.19964507783336066], [-0.1576680444140405, -0.2730890636551445], [0.0, 0.0], [-0.96531442285437, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.17975738741383784, 0.31134892803660935], [0.415773977130165, 0.7201416528544262], [0.0, 0.0], [0.5998214932929163, -1.0389213018551655], [0.24014886443198305, 0.0], [0.0, 0.0], [-0.9995765550495266, 0.0], [-0.5164489736919126, 0.8945158619511949], [0.0, 0.0], [0.48229864815578016, 0.8353657630275968], [-0.2886195379070362, 0.49990370371203824], [0.0, 0.0], [0.0, 0.0], [-0.20945599304625945, 0.0], [0.0, 0.0], [-0.1438355619660971, -0.24913050126050176], [-0.8629211980330572, -1.4946233579214598], [0.0, 0.0], [1.5252058564367637, 0.0], [0.0, 0.0], [0.0, 0.0], 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[-1.4287412497343877, 0.0], [0.0, 0.0], [0.013692264452307477, 0.0], [-0.45722714799744957, 0.7919406509313971], [0.0, 0.0], [-0.03263429090919514, -0.056524249923709115], [0.3358698245415894, -0.5817436008352771], [0.0, 0.0], [0.0, 0.0], [-0.7988768994254845, 0.0], [0.0, 0.0], [0.21506351115353367, 0.37250092817207625], [-0.2662387604239949, -0.4611390599985173], [0.0, 0.0], [-0.9733371795734173, 0.0]], 'angles': [-0.4729741289018262, None, -0.32743926409001656, None, -0.16649078168946863, -0.25163755644234176, 0.04026818330341167, 0.19385672025927977, -0.4562945226445251, -0.11847446737901525, -0.023009993278766558, 0.20512996066057373, -0.10248010044906687, -0.06088168956537423, -0.34777233700115534, -0.030589613523988972, -0.009013802928840674, 0.2627008425441342, -0.15970528603296863, -0.3221016658698001, 0.0009225554267620629, -0.45320148702486646, -0.41654845521202966, -0.4499462640333964, -0.236489920269761, -0.10048422766423769, -0.4342947312926801, -0.25718965413942924, -0.12586471863990967, -0.28170011322240746, -0.2516173372458298, 0.20794680422416673, -0.0921385807739793, -0.12141679429300103, -0.4838849554520735, -0.10097281229954659, -0.10171921698860838, -0.44543230175499127, -0.23084333807834986, -0.4632647994729366, -0.41764951595873695, -0.11196053676419544, -0.3179576997261845, -0.14703658947679876, -0.3678151885827781, -0.14461646067462863, -0.2905921765180775, -0.11981414745636969, -0.09967124871822691, -0.3271955928251065, -0.42437376156998513, -0.09375380966633871, 0.052094869784413765, -0.2604226288431072, -0.49754586591811784, -0.014297566533196136, -0.4760149771140389, -0.3035739039928127, -0.0634232894043386, -0.2651536112107037, -0.08538016498070497, -0.3868750484054503, -0.30334979475624574, -0.025559703350175416, 0.22673875478127267, 0.21893650322455702, -0.4334896751636754, -0.18804921736363253, -0.4992872162459071, -0.15712511809805277, -0.15896118080374533, -0.4371226263595039, 0.02721150379771351, -0.47628597006904716, 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-0.08852816440408828, -0.04883540724984566], 'char_orbit_index': 5, 'conrey_index': 226, 'dual_conrey_index': 361, 'dual_embedding_index': 4, 'dual_embedding_m': 12, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 2.9220245549207586, 'embedding_root_real': -1.6870316633621965, 'hecke_orbit': 26, 'hecke_orbit_code': 112590265629278649, 'label': '441.4.e.z.226.4', 'level': 441, 'weight': 4}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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': 7056, 'analytic_conductor': 26.019842312531612, 'char_conductor': 7, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 3, 'char_parity': 1, 'char_values': [441, 3, [344, 199], [3, 1]], 'conrey_index': 226, 'cusp_dim': 304, 'dim': 96, 'eis_dim': 64, 'eis_new_dim': 8, 'hecke_cutter_primes': [2, 5, 13], 'hecke_orbit_code': 274945016249, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 6, 8, 8, 16], 'label': '441.4.e', 'level': 441, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'mf_dim': 368, 'mf_new_dim': 104, 'num_forms': 26, 'prim_orbit_index': 3, 'relative_dim': 48, 'sturm_bound': 224, 'trace_bound': 13, 'trace_display': [1, 0, -15, 0], 'traces': [96, 1, 0, -193, -15, 0, 0, 102, 0, -10, -29, 0, -172, 0, 0, -741, -111, 0, 53, 816, 0, 372, 41, 0, -825, -438, 0, 0, -784, 0, 19, -1327, 0, -1404, 0, 0, 407, 252, 0, 612, 1908, 0, 1504, 548, 0, 922, -285, 0, 0, -2234, 0, 276, -2299, 0, -2978, 0, 0, -3314, -1023, 0, 731, 4224, 0, 6578, 378, 0, 1017, -2112, 0, 0, -2312, 0, 1987, -3138, 0, 192, 0, 0, 351, -276, 0, 2224, 4176, 0, -3118, 546, 0, -2760, -2343, 0, 0, 4768, 0, -3570, -57, 0, -5300, 0, 0, -6363, -2655, 0, 453, 3264, 0, 13376, 1321, 0, -4721, -126, 0, 0, -7000, 0, 2415, -1478, 0, -2724, 0, 0, -3005, 5562, 0, -5084, 1050, 0, -832, 249, 0, 10184, 1023, 0, 0, 7960, 0, 960, 7421, 0, 4912, 0, 0, 14840, -2838, 0, 3154, -15336, 0, -40972, -4535, 0, 3121, 7440, 0, 0, -5490, 0, -2473, 10016, 0, 11416, 0, 0, 9219, 4488, 0, -3168, -2928, 0, 42824, 4662, 0, -2380, 5685, 0, 0, -736, 0, -7018, 7447, 0, 8108, 0, 0, 9356, -2733, 0, -12735, -34944, 0, -75500, -6811, 0, -2741, 6336, 0, 0, 27352, 0, 12451, -1329, 0, 26860, 0, 0, 6674, 9480, 0, 12480, -2106, 0, -1120, -3350, 0, 15378, -3204, 0, 0, -4188, 0, -7960, 1122, 0, 3800, 0, 0, -10870, -10671, 0, 2235, -36012, 0, 45484, -25211, 0, -38819, -1404, 0, 0, 14512, 0, -9093, -2785, 0, 4152, 0, 0, -27710, 1272, 0, -33954, 20736, 0, -16458, 28714, 0, -8197, -183, 0, 0, 49176, 0, 9986, 12743, 0, -15882, 0, 0, 37780, -4695, 0, 21677, -1896, 0, -48448, -17852, 0, 11475, 10650, 0, 0, -59840, 0, 19343, 22364, 0, 20096, 0, 0, -8881, 18996, 0, 4240, 6132, 0, 20122, 31962, 0, 33580, -7770, 0, 0, -60132, 0, -38760, 4461, 0, -36352, 0, 0, 26342, -13395, 0, -29097, 19572, 0, 18488, -17887, 0, 19886, 1836, 0, 0, 36306, 0, 15996, -13322, 0, -14640, 0, 0, 15071, 8016, 0, 58364, 39594, 0, 58792, 43625, 0, 54172, -3897, 0, 0, 1392, 0, 14590, -32069, 0, -11812, 0, 0, -90416, -2415, 0, 27384, 64008, 0, 23636, -20239, 0, -18297, -14346, 0, 0, -96642, 0, -32081, -60956, 0, -54684, 0, 0, 33463, -2814, 0, -66984, 21456, 0, 4280, -25368, 0, -74786, -18261, 0, 0, 79428, 0, 43132, -21023, 0, -74022, 0, 0, -31658, -22635, 0, 37963, 10140, 0, 97878, 42281, 0, -14810, -38556, 0, 0, 102702, 0, 24267, -38052, 0, 68912, 0, 0, -47432, -11436, 0, 22466, 43152, 0, 68256, -20112, 0, -96546, 3324, 0, 0, -130336, 0, -74876, 21899, 0, 18236, 0, 0, -77274, 11751, 0, -51263, 8328, 0, -129912, 11953, 0, -181, -19932, 0, 0, -154120, 0, 47570, -10334, 0, -45276, 0, 0, -7121, -7140, 0, 84636, 5412, 0, 22392, -43790, 0, 102012, -16737, 0, 0, 79980, 0, 26772, 37596, 0, 34272, 0, 0, 29448, -18075, 0, 12578, -23052, 0, 64826, 48810, 0, -29895, 30156, 0, 0, 135296, 0, -60162, -48438, 0, -82760, 0, 0, -65541, 11808, 0, -108148, -14400, 0, -250558, -16798, 0, -29784, 32985, 0, 0, -40370, 0, 56074, -49389, 0, 16098, 0, 0, 264128, 21885, 0, 55229, 10632, 0, 189108, -14139, 0, 55991, 31758, 0, 0, -18408, 0, 15163, 20640, 0, 64116, 0, 0, -22693, 31674, 0, 9480, -76686, 0, 234160, 83674, 0, -36344, -10662, 0, 0, 132524, 0, -98876, -3635, 0, 49576, 0, 0, 38658, -12891, 0, -122630, -3072, 0, -453448, -115907, 0, -40927, 25716, 0, 0, -74224, 0, -1225, 228565, 0, 28568, 0, 0, -5577, 3108, 0, 98824, -89544, 0, -89858, -27114, 0, 270646, 59325, 0, 0, -250108, 0, 16620, 73763, 0, 119044, 0, 0, -85976, 62298, 0, 38925, -104088, 0, 263460, 12606, 0, 65675, -8742, 0, 0, 122488, 0, -31045, 156060, 0, -18036, 0, 0, 99922, -42864, 0, -165348, -52254, 0, -187560, 125760, 0, -110032, -11700, 0, 0, 159824, 0, 93540, -106391, 0, 3408, 0, 0, -3898, 21417, 0, 9105, -55164, 0, -497928, -33883, 0, -47079, 16272, 0, 0, 182816, 0, -1621, -108708, 0, 8136, 0, 0, 33350, -75912, 0, -8458, -37350, 0, 283840, -227472, 0, -283727, 55653, 0, 0, 191064, 0, -72990, 73115, 0, 52278, 0, 0, 18592, 31926, 0, -53823, -107304, 0, 347636, 257760, 0, 129686, -14424, 0, 0, 53240, 0, 23855, 2752, 0, 207452, 0, 0, 192531, -44412, 0, 165600, -62178, 0, -263916, -160408, 0, -45694, -53781, 0, 0, -265474, 0, 24564, 162686, 0, 30000, 0, 0, -200174, -8556, 0, -26201, 133752, 0, 88936, 29617, 0, 60913, -23712, 0, 0, -243904, 0, -112623, -27482, 0, -154824, 0, 0, -18685, 94764, 0, -96664, -101430, 0, -269704, -103182, 0, 280760, 43905, 0, 0, 15880, 0, 153642, -5958, 0, -121548, 0, 0, 38862, 76977, 0, 67168, 48576, 0, 100008, 134742, 0, 121264, 28026, 0, 0, 55542, 0, -98233, -188038, 0, 32740, 0, 0, -113058, -116232, 0, 8260, -23796, 0, -30210, -96877, 0, -10972, -40641, 0, 0, 39876, 0, 35640, -192659, 0, 116904, 0, 0, 67130, 34953, 0, -110768, 231768, 0, 350176, -42743, 0, -160511, 17244, 0, 0, 235616, 0, -417, -49908, 0, 23456, 0, 0, 50116, -62208, 0, 139524, 124248, 0, 10952, 342100, 0, -162364, 48987, 0, 0, 120244, 0, -2568, -62373, 0, -91836, 0, 0, 56884, 103605, 0, 139713, 182376, 0, 281916, -34711, 0, -104825, -22638, 0, 0, -521734, 0, 40098, 314622, 0, -522516, 0, 0, -130801, -114534, 0, -58420, -18156, 0, -265048, -183072, 0, -124870, -132237, 0, 0, -745044, 0, 4788, -169527, 0, -95194, 0, 0, 11582, -49662, 0, -219, 34200, 0, 68812, 19194, 0, 37505, -118716, 0, 0, 199888, 0, -13968, 89490, 0, -133408, 0, 0, 51671, 47052, 0, -105212, 119112, 0, -275908, 185834, 0, 35178, 38289, 0, 0, 547220, 0, 28542, -267573, 0, 261676, 0, 0, -663684, 34965, 0, 92046, 303408, 0, 49864, -35699, 0, 123234, -78642, 0, 0, -91520, 0, 41443, -134740, 0, 6628, 0, 0, 134903, 27210, 0, 73568, 78522, 0, 418480, -247287, 0, -363664, -80277, 0, 0, 322968, 0, -67560, -40787, 0, -127370, 0, 0, -312316, -74571, 0, 14278, 22368, 0, 1073816, 256548, 0, -118191, -11004, 0, 0, 516438, 0, -108829, -270900, 0, 744], 'weight': 4, '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: 48596881
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 226, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 112590265629278649, 'source_is_minimal': False, 'source_label': '441.4.e.z.226.4', 'source_level': 441, 'target_conrey_index': 226, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 112590265629278649, 'target_is_minimal': False, 'target_label': '441.4.e.z.226.4', 'target_level': 441, 'twist_class_label': '441.4.a.x.1.3', 'twist_class_level': 441, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48596882
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 226, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 112590265629278649, 'source_is_minimal': False, 'source_label': '441.4.e.z.226.4', 'source_level': 441, 'target_conrey_index': 226, 'target_dim': 16, 'target_embedding_index': 5, 'target_hecke_orbit_code': 112590265629278649, 'target_is_minimal': False, 'target_label': '441.4.e.z.226.5', 'target_level': 441, 'twist_class_label': '441.4.a.x.1.3', 'twist_class_level': 441, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48596883
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 226, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 112590265629278649, 'source_is_minimal': False, 'source_label': '441.4.e.z.226.4', 'source_level': 441, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 103582791496630713, 'target_is_minimal': True, 'target_label': '441.4.a.x.1.5', 'target_level': 441, 'twist_class_label': '441.4.a.x.1.3', 'twist_class_level': 441, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48596884
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 226, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 112590265629278649, 'source_is_minimal': False, 'source_label': '441.4.e.z.226.4', 'source_level': 441, 'target_conrey_index': 361, 'target_dim': 16, 'target_embedding_index': 3, 'target_hecke_orbit_code': 112590265629278649, 'target_is_minimal': False, 'target_label': '441.4.e.z.361.3', 'target_level': 441, 'twist_class_label': '441.4.a.x.1.3', 'twist_class_level': 441, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48596885
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 226, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 112590265629278649, 'source_is_minimal': False, 'source_label': '441.4.e.z.226.4', 'source_level': 441, 'target_conrey_index': 361, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 112590265629278649, 'target_is_minimal': False, 'target_label': '441.4.e.z.361.4', 'target_level': 441, 'twist_class_label': '441.4.a.x.1.3', 'twist_class_level': 441, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 48596886
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 226, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 112590265629278649, 'source_is_minimal': False, 'source_label': '441.4.e.z.226.4', 'source_level': 441, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 103582791496630713, 'target_is_minimal': True, 'target_label': '441.4.a.x.1.6', 'target_level': 441, 'twist_class_label': '441.4.a.x.1.3', 'twist_class_level': 441, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48596887
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 226, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 112590265629278649, 'source_is_minimal': False, 'source_label': '441.4.e.z.226.4', 'source_level': 441, 'target_conrey_index': 226, 'target_dim': 16, 'target_embedding_index': 3, 'target_hecke_orbit_code': 112590265629278649, 'target_is_minimal': False, 'target_label': '441.4.e.z.226.3', 'target_level': 441, 'twist_class_label': '441.4.a.x.1.3', 'twist_class_level': 441, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 4}
  • id: 48596888
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 226, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 112590265629278649, 'source_is_minimal': False, 'source_label': '441.4.e.z.226.4', 'source_level': 441, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 103582791496630713, 'target_is_minimal': True, 'target_label': '441.4.a.x.1.4', 'target_level': 441, 'twist_class_label': '441.4.a.x.1.3', 'twist_class_level': 441, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48596889
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 226, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 112590265629278649, 'source_is_minimal': False, 'source_label': '441.4.e.z.226.4', 'source_level': 441, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 103582791496630713, 'target_is_minimal': True, 'target_label': '441.4.a.x.1.3', 'target_level': 441, 'twist_class_label': '441.4.a.x.1.3', 'twist_class_level': 441, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48596890
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 226, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 112590265629278649, 'source_is_minimal': False, 'source_label': '441.4.e.z.226.4', 'source_level': 441, 'target_conrey_index': 361, 'target_dim': 16, 'target_embedding_index': 5, 'target_hecke_orbit_code': 112590265629278649, 'target_is_minimal': False, 'target_label': '441.4.e.z.361.5', 'target_level': 441, 'twist_class_label': '441.4.a.x.1.3', 'twist_class_level': 441, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48596891
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 226, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 112590265629278649, 'source_is_minimal': False, 'source_label': '441.4.e.z.226.4', 'source_level': 441, 'target_conrey_index': 361, 'target_dim': 16, 'target_embedding_index': 6, 'target_hecke_orbit_code': 112590265629278649, 'target_is_minimal': False, 'target_label': '441.4.e.z.361.6', 'target_level': 441, 'twist_class_label': '441.4.a.x.1.3', 'twist_class_level': 441, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 4}
  • id: 48596892
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 226, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 112590265629278649, 'source_is_minimal': False, 'source_label': '441.4.e.z.226.4', 'source_level': 441, 'target_conrey_index': 226, 'target_dim': 16, 'target_embedding_index': 6, 'target_hecke_orbit_code': 112590265629278649, 'target_is_minimal': False, 'target_label': '441.4.e.z.226.6', 'target_level': 441, 'twist_class_label': '441.4.a.x.1.3', 'twist_class_level': 441, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 894250
    {'charpoly_factorization': [[[12544, 0, 3696, 0, 977, 0, 33, 0, 1], 2]], 'hecke_orbit_code': 112590265629278649, 'p': 2}
  • id: 894251
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 112590265629278649, 'p': 3}
  • id: 894252
    {'charpoly_factorization': [[[1176490000, 0, 13171200, 0, 113156, 0, 384, 0, 1], 2]], 'hecke_orbit_code': 112590265629278649, 'p': 5}
  • id: 894253
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 112590265629278649, 'p': 7}
  • id: 894254
    {'charpoly_factorization': [[[1836567040000, 0, 3182009600, 0, 4157904, 0, 2348, 0, 1], 2]], 'hecke_orbit_code': 112590265629278649, 'p': 11}
  • id: 894255
    {'charpoly_factorization': [[[4900, 0, -5268, 0, 1], 4]], 'hecke_orbit_code': 112590265629278649, 'p': 13}
  • id: 894256
    {'charpoly_factorization': [[[66171521929744, 0, 85380635648, 0, 102031428, 0, 10496, 0, 1], 2]], 'hecke_orbit_code': 112590265629278649, 'p': 17}
  • id: 894257
    {'charpoly_factorization': [[[17710099023855616, 0, 3071470151680, 0, 399607104, 0, 23080, 0, 1], 2]], 'hecke_orbit_code': 112590265629278649, 'p': 19}
  • id: 894258
    {'charpoly_factorization': [[[81603616374784, 0, 54309233664, 0, 27110672, 0, 6012, 0, 1], 2]], 'hecke_orbit_code': 112590265629278649, 'p': 23}
  • id: 894259
    {'charpoly_factorization': [[[16601200, 0, -53088, 0, 1], 4]], 'hecke_orbit_code': 112590265629278649, 'p': 29}
  • id: 894260
    {'charpoly_factorization': [[[2639927418290176, 0, 1000064679936, 0, 327467072, 0, 19464, 0, 1], 2]], 'hecke_orbit_code': 112590265629278649, 'p': 31}
  • id: 894261
    {'charpoly_factorization': [[[8508217600, -1475840, 92496, 16, 1], 4]], 'hecke_orbit_code': 112590265629278649, 'p': 37}
  • id: 894262
    {'charpoly_factorization': [[[10038958300, 0, -233264, 0, 1], 4]], 'hecke_orbit_code': 112590265629278649, 'p': 41}
  • id: 894263
    {'charpoly_factorization': [[[8800, -540, 1], 8]], 'hecke_orbit_code': 112590265629278649, 'p': 43}
  • id: 894264
    {'charpoly_factorization': [[[366720926331288223744, 0, 6417687430260736, 0, 93160817472, 0, 335128, 0, 1], 2]], 'hecke_orbit_code': 112590265629278649, 'p': 47}
  • id: 894265
    {'charpoly_factorization': [[[19660334433029914624, 0, 591388859629568, 0, 13355159808, 0, 133376, 0, 1], 2]], 'hecke_orbit_code': 112590265629278649, 'p': 53}
  • id: 894266
    {'charpoly_factorization': [[[115701861990400000000, 0, 2485779502080000, 0, 42648881216, 0, 231096, 0, 1], 2]], 'hecke_orbit_code': 112590265629278649, 'p': 59}
  • id: 894267
    {'charpoly_factorization': [[[15433361192191875856, 0, 2930071785321296, 0, 552354740652, 0, 745844, 0, 1], 2]], 'hecke_orbit_code': 112590265629278649, 'p': 61}
  • id: 894268
    {'charpoly_factorization': [[[65740960000, 0, 256400, 0, 1], 4]], 'hecke_orbit_code': 112590265629278649, 'p': 67}
  • id: 894269
    {'charpoly_factorization': [[[187904819200, 0, -959388, 0, 1], 4]], 'hecke_orbit_code': 112590265629278649, 'p': 71}
  • id: 894270
    {'charpoly_factorization': [[[3034774133616412810000, 0, 29509298801278800, 0, 231851422124, 0, 535668, 0, 1], 2]], 'hecke_orbit_code': 112590265629278649, 'p': 73}
  • id: 894271
    {'charpoly_factorization': [[[108004249600, 443006720, 1488464, 1348, 1], 4]], 'hecke_orbit_code': 112590265629278649, 'p': 79}
  • id: 894272
    {'charpoly_factorization': [[[351934815232, 0, -1919232, 0, 1], 4]], 'hecke_orbit_code': 112590265629278649, 'p': 83}
  • id: 894273
    {'charpoly_factorization': [[[179518127441406250000, 0, 3105436250000000, 0, 40321676676, 0, 231776, 0, 1], 2]], 'hecke_orbit_code': 112590265629278649, 'p': 89}
  • id: 894274
    {'charpoly_factorization': [[[35588822500, 0, -1382388, 0, 1], 4]], 'hecke_orbit_code': 112590265629278649, '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': 5, 'hecke_orbit': 26, 'label': '441.4.e.z', 'level': 441, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 260142000
    {'hecke_orbit_code': 112590265629278649, 'n': 1, 'trace_an': 16}
  • id: 260142001
    {'hecke_orbit_code': 112590265629278649, 'n': 2, 'trace_an': 0}
  • id: 260142002
    {'hecke_orbit_code': 112590265629278649, 'n': 3, 'trace_an': 0}
  • id: 260142003
    {'hecke_orbit_code': 112590265629278649, 'n': 4, 'trace_an': -68}
  • id: 260142004
    {'hecke_orbit_code': 112590265629278649, 'n': 5, 'trace_an': 0}
  • id: 260142005
    {'hecke_orbit_code': 112590265629278649, 'n': 6, 'trace_an': 0}
  • id: 260142006
    {'hecke_orbit_code': 112590265629278649, 'n': 7, 'trace_an': 0}
  • id: 260142007
    {'hecke_orbit_code': 112590265629278649, 'n': 8, 'trace_an': 0}
  • id: 260142008
    {'hecke_orbit_code': 112590265629278649, 'n': 9, 'trace_an': 0}
  • id: 260142009
    {'hecke_orbit_code': 112590265629278649, 'n': 10, 'trace_an': 0}
  • id: 260142010
    {'hecke_orbit_code': 112590265629278649, 'n': 11, 'trace_an': 0}
  • id: 260142011
    {'hecke_orbit_code': 112590265629278649, 'n': 12, 'trace_an': 0}
  • id: 260142012
    {'hecke_orbit_code': 112590265629278649, 'n': 13, 'trace_an': 0}
  • id: 260142013
    {'hecke_orbit_code': 112590265629278649, 'n': 14, 'trace_an': 0}
  • id: 260142014
    {'hecke_orbit_code': 112590265629278649, 'n': 15, 'trace_an': 0}
  • id: 260142015
    {'hecke_orbit_code': 112590265629278649, 'n': 16, 'trace_an': -804}
  • id: 260142016
    {'hecke_orbit_code': 112590265629278649, 'n': 17, 'trace_an': 0}
  • id: 260142017
    {'hecke_orbit_code': 112590265629278649, 'n': 18, 'trace_an': 0}
  • id: 260142018
    {'hecke_orbit_code': 112590265629278649, 'n': 19, 'trace_an': 0}
  • id: 260142019
    {'hecke_orbit_code': 112590265629278649, 'n': 20, 'trace_an': 0}
  • id: 260142020
    {'hecke_orbit_code': 112590265629278649, 'n': 21, 'trace_an': 0}
  • id: 260142021
    {'hecke_orbit_code': 112590265629278649, 'n': 22, 'trace_an': 1952}
  • id: 260142022
    {'hecke_orbit_code': 112590265629278649, 'n': 23, 'trace_an': 0}
  • id: 260142023
    {'hecke_orbit_code': 112590265629278649, 'n': 24, 'trace_an': 0}
  • id: 260142024
    {'hecke_orbit_code': 112590265629278649, 'n': 25, 'trace_an': -536}
  • id: 260142025
    {'hecke_orbit_code': 112590265629278649, 'n': 26, 'trace_an': 0}
  • id: 260142026
    {'hecke_orbit_code': 112590265629278649, 'n': 27, 'trace_an': 0}
  • id: 260142027
    {'hecke_orbit_code': 112590265629278649, 'n': 28, 'trace_an': 0}
  • id: 260142028
    {'hecke_orbit_code': 112590265629278649, 'n': 29, 'trace_an': 0}
  • id: 260142029
    {'hecke_orbit_code': 112590265629278649, 'n': 30, 'trace_an': 0}
  • id: 260142030
    {'hecke_orbit_code': 112590265629278649, 'n': 31, 'trace_an': 0}
  • id: 260142031
    {'hecke_orbit_code': 112590265629278649, 'n': 32, 'trace_an': 0}
  • id: 260142032
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  • id: 260142987
    {'hecke_orbit_code': 112590265629278649, 'n': 988, 'trace_an': 1340352}
  • id: 260142988
    {'hecke_orbit_code': 112590265629278649, 'n': 989, 'trace_an': 0}
  • id: 260142989
    {'hecke_orbit_code': 112590265629278649, 'n': 990, 'trace_an': 0}
  • id: 260142990
    {'hecke_orbit_code': 112590265629278649, 'n': 991, 'trace_an': -97712}
  • id: 260142991
    {'hecke_orbit_code': 112590265629278649, 'n': 992, 'trace_an': 0}
  • id: 260142992
    {'hecke_orbit_code': 112590265629278649, 'n': 993, 'trace_an': 0}
  • id: 260142993
    {'hecke_orbit_code': 112590265629278649, 'n': 994, 'trace_an': 0}
  • id: 260142994
    {'hecke_orbit_code': 112590265629278649, 'n': 995, 'trace_an': 0}
  • id: 260142995
    {'hecke_orbit_code': 112590265629278649, 'n': 996, 'trace_an': 0}
  • id: 260142996
    {'hecke_orbit_code': 112590265629278649, 'n': 997, 'trace_an': 0}
  • id: 260142997
    {'hecke_orbit_code': 112590265629278649, 'n': 998, 'trace_an': 0}
  • id: 260142998
    {'hecke_orbit_code': 112590265629278649, 'n': 999, 'trace_an': 0}
  • id: 260142999
    {'hecke_orbit_code': 112590265629278649, 'n': 1000, 'trace_an': 0}