Embedded newform data - 60.6.e.a.11.4

Formats: - HTML - YAML - JSON - 2024-05-04T06:47:30.407861

• 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': 2160, 'analytic_conductor': 9.623029188778839, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 12, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 2, 'char_parity': 1, 'char_values': [60, 2, [31, 41, 37], [1, 1, 2]], 'cm_discs': [], 'conrey_index': 11, 'conrey_indexes': [11], 'dim': 40, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 274978570300, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 4, 2, -1, 2, 0], [1, 1, 12, 2, 1, 2, 0]], 'is_cm': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '60.6.e.a', 'level': 60, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '60.6.e.a', 'prim_orbit_index': 2, 'related_objects': [], 'relative_dim': 40, 'rm_discs': [], 'sato_tate_group': '5.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '60.6.e', 'trace_display': [0, 0, 0, 0], 'traces': [40, 0, 0, -10, 0, -114, 0, 0, 44, 50, 0, 1876, -232, 0, 0, -2734, 0, -3536, 0, 0, 820, 13684, 0, 9550, -25000, 0, 0, -23188, 0, -5800, 0, 0, -9424, 38972, 0, 53754, 2152, 0, 0, -10850, 0, -62868, 0, 0, 5900, 78748, 0, 100956, -52144, 0, 0, -82528, 0, -120862, 0, 0, -44424, 97476, 0, 3850, 2072, 0, 0, -91234, 0, -45784, 0, 0, 52764, -3300, 0, -10344, 264960, 0, 0, 73356, 0, 176440, 0, 0, -165120, -170920, 0, -250544, -132400, 0, 0, 359116, 0, 35550, 0, 0, 510368, -623100, 0, -379254, 453648, 0, 0, 6250, 0, 429776, 0, 0, -209500, -228444, 0, -481260, -813704, 0, 0, 526420, 0, 513284, 0, 0, 814784, -367356, 0, -120500, 1125464, 0, 0, -158780, 0, 268616, 0, 0, -1455924, -248800, 0, -341804, -1412192, 0, 0, 281188, 0, 221056, 0, 0, 1815868, 670048, 0, 319862, 99800, 0, 0, 739168, 0, 71250, 0, 0, -1877848, 452168, 0, 1079680, -1837272, 0, 0, 52050, 0, -1099504, 0, 0, 294600, 542964, 0, 819692, 2244680, 0, 0, -1174512, 0, -1655080, 0, 0, -2585112, 2446144, 0, 215600, -2347168, 0, 0, -68052, 0, -2580868, 0, 0, 3931804, 582100, 0, 2444004, 1918016, 0, 0, -5968894, 0, -410196, 0, 0, -2548004, 665804, 0, 1434316, -227400, 0, 0, 410352, 0, 295600, 0, 0, 287128, 5185884, 0, 1058874, 2657808, 0, 0, 1242900, 0, -1530040, 0, 0, -27500, -1677916, 0, -2269960, -1088, 0, 0, -4998580, 0, 994832, 0, 0, 4220168, -7233144, 0, -1158250, 4469032, 0, 0, 4657812, 0, -210504, 0, 0, 1042124, -31250, 0, -2011900, -6731392, 0, 0, 4127810, 0, 6451480, 0, 0, 126016, -7224308, 0, -2420920, -23200, 0, 0, 345536, 0, 2772400, 0, 0, -3514728, -7207364, 0, 38908, 1271672, 0, 0, 3415900, 0, 3503696, 0, 0, -91600, 11138368, 0, -10232072, 5808904, 0, 0, 7851412, 0, 3700834, 0, 0, 3741376, -13482692, 0, -1172500, -73480, 0, 0, -8954668, 0, -4463196, 0, 0, -9034012, -4649300, 0, 600352, -7026672, 0, 0, 1186828, 0, 10230368, 0, 0, 279524, 19261400, 0, 491414, 145000, 0, 0, 21081848, 0, 2739100, 0, 0, 3704896, -5965260, 0, 9908712, -3373776, 0, 0, -230900, 0, -8566432, 0, 0, 1327300, 296540, 0, -8720380, -2180528, 0, 0, -3524652, 0, -5586024, 0, 0, -15552520, 9597852, 0, -3851750, -18853656, 0, 0, 291360, 0, -15893620, 0, 0, -2592536, -7719200, 0, 15838168, 27817720, 0, 0, -42310588, 0, 11861620, 0, 0, -4970564, -612824, 0, 6975974, -1367200, 0, 0, 21151548, 0, 6020200, 0, 0, 24374400, 31285612, 0, 28441136, 6793528, 0, 0, 1708750, 0, -14843192, 0, 0, -3361600, 34297768, 0, -15133400, -38151032, 0, 0, -38978996, 0, -18389348, 0, 0, 9164408, -33148888, 0, -11669700, 34312376, 0, 0, -7087204, 0, -32180016, 0, 0, -2777648, -6157000, 0, 17082044, 16710096, 0, 0, -12346244, 0, 28663348, 0, 0, 32360900, 11642816, 0, 6169088, 1192400, 0, 0, 5997740, 0, 2210000, 0, 0, -30775504, -18763468, 0, 37335964, -44072080, 0, 0, 17200100, 0, -10782112, 0, 0, 2081400, 45204116, 0, -51804656, 23592024, 0, 0, 12570252, 0, 1000548, 0, 0, -3797048, -74148512, 0, -20195700, 2933808, 0, 0, -14221098, 0, -23206138, 0, 0, 38744484, -26279050, 0, 11589992, 2243024, 0, 0, -15735908, 0, 68619280, 0, 0, -36910836, 33233492, 0, -12258400, -4541000, 0, 0, 88070180, 0, 25362300, 0, 0, -13112632, -8885460, 0, 29121112, 34069408, 0, 0, 22006800, 0, -9651092, 0, 0, -512500, 27890428, 0, -96114788, 23785200, 0, 0, -17783272, 0, 15232976, 0, 0, 36327352, -75350908, 0, -29010050, -63238032, 0, 0, 27207612, 0, -54413776, 0, 0, -23407704, -8552500, 0, 14759960, -46323904, 0, 0, -73515044, 0, 96196848, 0, 0, -48226320, 17381944, 0, 10192932, 17889200, 0, 0, 106335920, 0, 36545000, 0, 0, 39138664, 33108128, 0, 80907146, 53270592, 0, 0, 40110900, 0, -41786196, 0, 0, 12724200, 81564932, 0, -109795076, -13028816, 0, 0, -43464432, 0, -2291896, 0, 0, -31187944, -123343728, 0, -5968750, -44094344, 0, 0, -14255828, 0, -109042760, 0, 0, -65532912, -41436900, 0, 44119328, -35532280, 0, 0, -124180232, 0, 104426156, 0, 0, 73061212, 55146176, 0, 50081248, 15625000, 0, 0, 110257320, 0, 53552300, 0, 0, 18759792, 35113028, 0, 123105332, -53944680, 0, 0, 56817550, 0, -78788816, 0, 0, -3847100, 146379160, 0, -127150352, 47924208, 0, 0, -93620184, 0, -46189420, 0, 0, -86864216, -133630104, 0, -55811000, 32685912, 0, 0, -35414156, 0, -158943248, 0, 0, 124127084, -51578200, 0, 106001828, 53283312, 0, 0, -177527998, 0, 156965552, 0, 0, 10739452, 72091128, 0, 49129732, -20928000, 0, 0, 124180432, 0, 66380500, 0, 0, -13975504, 56036372, 0, 167416808, -14491632, 0, 0, 14492500, 0, -121274376, 0, 0, -22097900, 201002260, 0, -169381404, -3825424, 0, 0, -108231264, 0, -52721504, 0, 0, 91760304, -235911944, 0, -73127400, 183432600, 0, 0, -61922316, 0, -214878946, 0, 0, -20637748, -67619300, 0, 92487192, -115379992, 0, 0, -170479644, 0, 235868888, 0, 0, -18233936, 144458584, 0, 21973844, -31242800, 0, 0, 263334552, 0, 3625000, 0, 0, -145847200, -32325856, 0, 232696352, 8445720, 0, 0, 98809900, 0, -73510620, 0, 0, 14642200, 170167404, 0, -265524772, 73630704, 0, 0, -55184676, 0, -1921400, 0, 0, 72026088, -237070772, 0, -110182800, -14545632, 0, 0, -59078298, 0, -224413448, 0, 0, -1894724, -138487500, 0, 96445604, 104536448, 0, 0, -272691980, 0, 375840504, 0, 0, -68848944, 78021072, 0, -33991144, -659400, 0, 0, 467137284, 0, 128536850, 0, 0, 119364640, 67222208, 0, 191950580, 12569776, 0, 0, 106939000, 0, -45169920, 0, 0, 5890000, 166165992, 0, -355503280, -317504200, 0, 0, -109690320, 0, -28241228, 0, 0, -109471424, -278755460, 0, -149802600, -50562760, 0, 0, 117650772, 0, -196938764, 0, 0, -128626716, -24357500, 0, 67079392, 127037832, 0, 0, -288487460, 0, 448108896, 0, 0, 133847528, 22174552, 0, -16676802, 8363600, 0, 0, 405324776, 0, 142856300, 0, 0, 16642296, -32201112, 0, 292306520, 31246184, 0, 0, 185586700, 0, -149274592, 0, 0, -52773600, 333029468, 0, -469464352, -75297944, 0, 0, -154925948, 0, -36132656, 0, 0, -16537576, -528752712, 0, -33596250, -56668864, 0, 0, -209884484, 0, -294708620, 0, 0, 35549808, -164186000, 0, 214316728, 12991520, 0, 0, -196936100, 0, 408560032, 0, 0, 43209844, 203963252, 0, 82045480, -1345000, 0, 0, 426381428, 0, 177473800, 0, 0, -10119608, -116576660, 0, 427898336, -67264752, 0, 0, 143804300, 0, -185238768, 0, 0, 21893700, 536511808, 0, -458721256, 132824624, 0, 0, -96240248, 0, -131945636, 0, 0, 37449440, -423622256, 0, -163673750, -102511192, 0, 0, -127394956, 0, -522804168, 0, 0, 12625568, -191462700, 0, 179463844, -176475680, 0, 0, -547486516, 0, 432953936, 0, 0, -54473864, 409473668, 0, 87540608, -49175200, 0, 0, 616309472, 0, 194768800, 0, 0, 5610256, 257504960, 0, 539431572, 367406264, 0, 0, 6781250], 'weight': 6, '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], [-0.9800280772660759, 0.19885916566796327], [0.9763933146722974, 0.2160002200536934], [0.920910064459683, -0.38977513155262017], [0.0, -0.4472135954999579], [-0.9998464863777161, -0.01752152042876024], [0.0, -1.6153633736606912], [-0.8250073623487265, 0.565121979815329], [0.906687809873512, 0.4218023416563427], [0.08893252247649165, 0.43828188012507235], [-1.5415992478825011, 0.0], [0.9833619445396923, -0.1816570561005411], [-0.15470282862631263, 0.0], [0.32122981273675144, 1.5831014611747287], [0.09659823503899435, -0.43665636487672], [0.6961506936462752, -0.7178956830458099], [0.0, -0.27959869188136977], [-0.9724587727295009, -0.23307495648703444], [0.0, -1.947658102283035], [-0.17431273801811636, -0.4118435010591129], [0.3489188441773859, -1.5772299988087872], [1.5108105468171162, -0.30656114022827385], [0.7208953622246991, 0.0], [-0.9275981451500122, 0.3735795512528181], [-0.2, 0.0], [0.1516131156862684, -0.03076407542710243], [0.794174517438431, 0.6076897529590533], [-0.6296284714738802, -1.4876043885636783], [0.0, -1.1401417418465696], [-0.007835862149571833, 0.44714494212097816], [0.0, 1.0773666614512971], [-0.5394870892144817, 0.8419938720506734], [-1.5052071995363159, -0.3329857767772285], [0.05560076258938313, 0.2740145684106088], [-0.7224124623737397, 0.0], [0.9993859926437291, 0.035037661273382606], [1.1280329331722596, 0.0], [0.38730966522645305, 1.9087596251521368], [-0.15105080763162576, -0.033415845026212344], [0.25273023248926796, 0.3689545088299106], [0.0, -0.21184670333402514], [-0.028303622351466863, 1.615115393377896], [0.0, 0.21268421000178053], [-1.419674262738473, 0.6008770496448222], [0.18863574180243473, -0.4054831154495156], [-0.7064976957511031, 0.14335665026590783], [1.0758597178809677, 0.0], [0.8347825087941972, -0.5505798425399046], [-1.6093988289644496, 0.0], [0.19600561545321518, -0.03977183313359266], [0.060393378973100695, -0.272998293544089], [-0.14246739188235286, 0.060299315379383454], [0.0, 0.4188889779621307], [-0.8991580025973073, -0.4376241382341939], [0.0, 0.6894241424655643], [0.9128773478442989, 1.332686676138547], [0.4206945786824945, -1.901680350336489], [0.2267276355268272, 1.1173709190726884], [-0.6675529563828352, 0.0], [-0.08123950520666054, -0.439772830895426], [-0.11245380100304703, 0.0], [-0.214244235414684, -1.055849577732686], [0.6813640536359693, -1.4646302794142998], [0.3612742958592058, -0.9324595879454697], [0.0, 0.06918520822398709], [1.5413625913978486, 0.027011162714734666], [0.0, 0.2229022895537159], [-0.10898061691000142, -0.2574852493633153], [0.7038774122544604, 0.15571355687622201], [0.7079844964931875, -0.1436583395357808], [-1.154202580614068, 0.0], [-0.986393892905064, 0.16439917286772804], [0.20229246922901134, 0.0], [-1.1055039465896215, 0.22431968793662094], [-0.19527866293445947, -0.04320004401073868], [-0.7591486930368966, -1.7936179485188937], [0.0, 2.490242961892261], [0.15467907963471264, 0.0027106287721629313], [0.0, 0.9778095321198641], [-0.3210527096088148, -0.3113280547153405], [0.6441655691464518, 0.7648860827118165], [0.04212765867451277, 0.20761571734360143], [1.1510681836054162, 0.0], [-0.29344215499183945, -1.5884868682611748], [-0.12504033629335226, 0.0], [-0.04229420455170397, -0.20843649739289927], [0.24627086713126037, -1.113226774517819], [1.2718307292943227, -0.8711916190451812], [0.0, -0.5409688369364835], [-0.10423428931156292, 0.4348967842278365], [0.0, 0.2499012831646521], [0.6638797944950342, -0.28098708464680583], [-0.23271143595199317, 1.0519336056918587], [-1.0543727307229074, 0.21394456587357957], [-0.8710191827266209, 0.0], [-0.7086224489078441, 0.7055878576788647], [-0.1269933583317628, 0.0], [1.5772560399043036, -0.32004370835486756], [-1.3977492457652383, -0.6502501726524957], [-0.18418201289193661, 0.07795502631052403], [0.0, -0.3773646433184143], [-0.004898994191654061, 0.27955576967339324], [0.0, 0.808131549449338], [0.12763097259288123, -0.08742596879633334], 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-0.18404554468570886, -0.3147034355220722, -0.4977256411410679, -0.4813923019990235, -0.17006911314794254, -0.47775752830881735, -0.23389511704951027, 0.016133930051897945, 0.1357021117885707, -0.3342790069528921, 0.12278573718721458, -0.2416268036674464, 0.16583806613296534, 0.11954125484650348, -0.4299247763077668, -0.46591060519968414, -0.2303280677053742, -0.3681569939178085, -0.05448738079670582], 'char_orbit_index': 5, 'conrey_index': 11, 'dual_conrey_index': 11, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 4, 'embedding_m': 4, 'hecke_orbit': 1, 'hecke_orbit_code': 274978570300, 'label': '60.6.e.a.11.4', 'level': 60, 'weight': 6}
• 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': 2160, 'analytic_conductor': 9.623029188778839, 'char_conductor': 12, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 2, 'char_parity': 1, 'char_values': [60, 2, [31, 41, 37], [1, 1, 2]], 'conrey_index': 11, 'cusp_dim': 56, 'dim': 40, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 274978570300, 'hecke_orbit_dims': [40], 'label': '60.6.e', 'level': 60, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 64, 'mf_new_dim': 40, 'num_forms': 1, 'prim_orbit_index': 2, 'relative_dim': 40, 'sturm_bound': 72, 'trace_bound': 0, 'trace_display': [0, 0, 0, 0], 'traces': [40, 0, 0, -10, 0, -114, 0, 0, 44, 50, 0, 1876, -232, 0, 0, -2734, 0, -3536, 0, 0, 820, 13684, 0, 9550, -25000, 0, 0, -23188, 0, -5800, 0, 0, -9424, 38972, 0, 53754, 2152, 0, 0, -10850, 0, -62868, 0, 0, 5900, 78748, 0, 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0, 0, 36327352, -75350908, 0, -29010050, -63238032, 0, 0, 27207612, 0, -54413776, 0, 0, -23407704, -8552500, 0, 14759960, -46323904, 0, 0, -73515044, 0, 96196848, 0, 0, -48226320, 17381944, 0, 10192932, 17889200, 0, 0, 106335920, 0, 36545000, 0, 0, 39138664, 33108128, 0, 80907146, 53270592, 0, 0, 40110900, 0, -41786196, 0, 0, 12724200, 81564932, 0, -109795076, -13028816, 0, 0, -43464432, 0, -2291896, 0, 0, -31187944, -123343728, 0, -5968750, -44094344, 0, 0, -14255828, 0, -109042760, 0, 0, -65532912, -41436900, 0, 44119328, -35532280, 0, 0, -124180232, 0, 104426156, 0, 0, 73061212, 55146176, 0, 50081248, 15625000, 0, 0, 110257320, 0, 53552300, 0, 0, 18759792, 35113028, 0, 123105332, -53944680, 0, 0, 56817550, 0, -78788816, 0, 0, -3847100, 146379160, 0, -127150352, 47924208, 0, 0, -93620184, 0, -46189420, 0, 0, -86864216, -133630104, 0, -55811000, 32685912, 0, 0, -35414156, 0, -158943248, 0, 0, 124127084, -51578200, 0, 106001828, 53283312, 0, 0, -177527998, 0, 156965552, 0, 0, 10739452, 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166165992, 0, -355503280, -317504200, 0, 0, -109690320, 0, -28241228, 0, 0, -109471424, -278755460, 0, -149802600, -50562760, 0, 0, 117650772, 0, -196938764, 0, 0, -128626716, -24357500, 0, 67079392, 127037832, 0, 0, -288487460, 0, 448108896, 0, 0, 133847528, 22174552, 0, -16676802, 8363600, 0, 0, 405324776, 0, 142856300, 0, 0, 16642296, -32201112, 0, 292306520, 31246184, 0, 0, 185586700, 0, -149274592, 0, 0, -52773600, 333029468, 0, -469464352, -75297944, 0, 0, -154925948, 0, -36132656, 0, 0, -16537576, -528752712, 0, -33596250, -56668864, 0, 0, -209884484, 0, -294708620, 0, 0, 35549808, -164186000, 0, 214316728, 12991520, 0, 0, -196936100, 0, 408560032, 0, 0, 43209844, 203963252, 0, 82045480, -1345000, 0, 0, 426381428, 0, 177473800, 0, 0, -10119608, -116576660, 0, 427898336, -67264752, 0, 0, 143804300, 0, -185238768, 0, 0, 21893700, 536511808, 0, -458721256, 132824624, 0, 0, -96240248, 0, -131945636, 0, 0, 37449440, -423622256, 0, -163673750, -102511192, 0, 0, -127394956, 0, -522804168, 0, 0, 12625568, -191462700, 0, 179463844, -176475680, 0, 0, -547486516, 0, 432953936, 0, 0, -54473864, 409473668, 0, 87540608, -49175200, 0, 0, 616309472, 0, 194768800, 0, 0, 5610256, 257504960, 0, 539431572, 367406264, 0, 0, 6781250], 'weight': 6, '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: 3023443
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 11, 'source_dim': 40, 'source_embedding_index': 4, 'source_hecke_orbit_code': 274978570300, 'source_is_minimal': True, 'source_label': '60.6.e.a.11.4', 'source_level': 60, 'target_conrey_index': 11, 'target_dim': 40, 'target_embedding_index': 4, 'target_hecke_orbit_code': 274978570300, 'target_is_minimal': True, 'target_label': '60.6.e.a.11.4', 'target_level': 60, 'twist_class_label': '60.6.e.a.11.3', 'twist_class_level': 60, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 3023444
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 11, 'source_dim': 40, 'source_embedding_index': 4, 'source_hecke_orbit_code': 274978570300, 'source_is_minimal': True, 'source_label': '60.6.e.a.11.4', 'source_level': 60, 'target_conrey_index': 11, 'target_dim': 40, 'target_embedding_index': 37, 'target_hecke_orbit_code': 274978570300, 'target_is_minimal': True, 'target_label': '60.6.e.a.11.37', 'target_level': 60, 'twist_class_label': '60.6.e.a.11.3', 'twist_class_level': 60, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 3023445
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 11, 'source_dim': 40, 'source_embedding_index': 4, 'source_hecke_orbit_code': 274978570300, 'source_is_minimal': True, 'source_label': '60.6.e.a.11.4', 'source_level': 60, 'target_conrey_index': 11, 'target_dim': 40, 'target_embedding_index': 38, 'target_hecke_orbit_code': 274978570300, 'target_is_minimal': True, 'target_label': '60.6.e.a.11.38', 'target_level': 60, 'twist_class_label': '60.6.e.a.11.3', 'twist_class_level': 60, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 3023446
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 11, 'source_dim': 40, 'source_embedding_index': 4, 'source_hecke_orbit_code': 274978570300, 'source_is_minimal': True, 'source_label': '60.6.e.a.11.4', 'source_level': 60, 'target_conrey_index': 11, 'target_dim': 40, 'target_embedding_index': 3, 'target_hecke_orbit_code': 274978570300, 'target_is_minimal': True, 'target_label': '60.6.e.a.11.3', 'target_level': 60, 'twist_class_label': '60.6.e.a.11.3', 'twist_class_level': 60, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 6}
• hecke_orbit_code 274978570300 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': 5, 'hecke_orbit': 1, 'label': '60.6.e.a', 'level': 60, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 30465000
    {'hecke_orbit_code': 274978570300, 'n': 1, 'trace_an': 40}
  • id: 30465001
    {'hecke_orbit_code': 274978570300, 'n': 2, 'trace_an': 0}
  • id: 30465002
    {'hecke_orbit_code': 274978570300, 'n': 3, 'trace_an': 0}
  • id: 30465003
    {'hecke_orbit_code': 274978570300, 'n': 4, 'trace_an': -10}
  • id: 30465004
    {'hecke_orbit_code': 274978570300, 'n': 5, 'trace_an': 0}
  • id: 30465005
    {'hecke_orbit_code': 274978570300, 'n': 6, 'trace_an': -114}
  • id: 30465006
    {'hecke_orbit_code': 274978570300, 'n': 7, 'trace_an': 0}
  • id: 30465007
    {'hecke_orbit_code': 274978570300, 'n': 8, 'trace_an': 0}
  • id: 30465008
    {'hecke_orbit_code': 274978570300, 'n': 9, 'trace_an': 44}
  • id: 30465009
    {'hecke_orbit_code': 274978570300, 'n': 10, 'trace_an': 50}
  • id: 30465010
    {'hecke_orbit_code': 274978570300, 'n': 11, 'trace_an': 0}
  • id: 30465011
    {'hecke_orbit_code': 274978570300, 'n': 12, 'trace_an': 1876}
  • id: 30465012
    {'hecke_orbit_code': 274978570300, 'n': 13, 'trace_an': -232}
  • id: 30465013
    {'hecke_orbit_code': 274978570300, 'n': 14, 'trace_an': 0}
  • id: 30465014
    {'hecke_orbit_code': 274978570300, 'n': 15, 'trace_an': 0}
  • id: 30465015
    {'hecke_orbit_code': 274978570300, 'n': 16, 'trace_an': -2734}
  • id: 30465016
    {'hecke_orbit_code': 274978570300, 'n': 17, 'trace_an': 0}
  • id: 30465017
    {'hecke_orbit_code': 274978570300, 'n': 18, 'trace_an': -3536}
  • id: 30465018
    {'hecke_orbit_code': 274978570300, 'n': 19, 'trace_an': 0}
  • id: 30465019
    {'hecke_orbit_code': 274978570300, 'n': 20, 'trace_an': 0}
  • id: 30465020
    {'hecke_orbit_code': 274978570300, 'n': 21, 'trace_an': 820}
  • id: 30465021
    {'hecke_orbit_code': 274978570300, 'n': 22, 'trace_an': 13684}
  • id: 30465022
    {'hecke_orbit_code': 274978570300, 'n': 23, 'trace_an': 0}
  • id: 30465023
    {'hecke_orbit_code': 274978570300, 'n': 24, 'trace_an': 9550}
  • id: 30465024
    {'hecke_orbit_code': 274978570300, 'n': 25, 'trace_an': -25000}
  • id: 30465025
    {'hecke_orbit_code': 274978570300, 'n': 26, 'trace_an': 0}
  • id: 30465026
    {'hecke_orbit_code': 274978570300, 'n': 27, 'trace_an': 0}
  • id: 30465027
    {'hecke_orbit_code': 274978570300, 'n': 28, 'trace_an': -23188}
  • id: 30465028
    {'hecke_orbit_code': 274978570300, 'n': 29, 'trace_an': 0}
  • id: 30465029
    {'hecke_orbit_code': 274978570300, 'n': 30, 'trace_an': -5800}
  • id: 30465030
    {'hecke_orbit_code': 274978570300, 'n': 31, 'trace_an': 0}
  • id: 30465031
    {'hecke_orbit_code': 274978570300, 'n': 32, 'trace_an': 0}
  • id: 30465032
    {'hecke_orbit_code': 274978570300, 'n': 33, 'trace_an': -9424}
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  • id: 30465045
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  • id: 30465046
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  • id: 30465047
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  • id: 30465048
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  • id: 30465049
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  • id: 30465052
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  • id: 30465053
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  • id: 30465056
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  • id: 30465057
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  • id: 30465076
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  • id: 30465081
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  • id: 30465121
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  • id: 30465132
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  • id: 30465135
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  • id: 30465136
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  • id: 30465137
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  • id: 30465138
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  • id: 30465139
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  • id: 30465140
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  • id: 30465141
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  • id: 30465142
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  • id: 30465143
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  • id: 30465144
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  • id: 30465145
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  • id: 30465167
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  • id: 30465168
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  • id: 30465178
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  • id: 30465192
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  • id: 30465461
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  • id: 30465516
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  • id: 30465522
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