Newform data - 288.8.a.d

Formats: - HTML - YAML - JSON - 2024-06-11T21:09:58.643194

• 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': 18432, 'analytic_conductor': 89.96688733942706, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1]], 'atkin_lehner_string': '+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [288, 1, [127, 37, 65], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [-70, 1]], [7, [-92, 1]], [11, [3124, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510799016329504, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '288.8.a.d', 'level': 288, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '96.8.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+70q^{5}+92q^{7}-3124q^{11}+1174q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '288.8.a', 'trace_display': [0, 0, 70, 92], 'trace_hash': 2081448732569486151, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.009', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.049', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.218', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [1, 0, 0, 0, 70, 0, 92, 0, 0, 0, -3124, 0, 1174, 0, 0, 0, 12582, 0, 15404, 0, 0, 0, -19200, 0, -73225, 0, 0, 0, 24502, 0, -124796, 0, 0, 0, 6440, 0, -262394, 0, 0, 0, 681358, 0, -1868, 0, 0, 0, 162424, 0, -815079, 0, 0, 0, 1319870, 0, -218680, 0, 0, 0, -1540364, 0, -1824354, 0, 0, 0, 82180, 0, 875668, 0, 0, 0, 2375056, 0, 636522, 0, 0, 0, -287408, 0, -7785404, 0, 0, 0, -3625596, 0, 880740, 0, 0, 0, -2485210, 0, 108008, 0, 0, 0, 1078280, 0, 7369522, 0, 0, 0, -5980434, 0, -16328556, 0, 0, 0, -20897612, 0, 21264806, 0, 0, 0, -16853666, 0, -1344000, 0, 0, 0, 1157544, 0, -9727795, 0, 0, 0, -10594500, 0, -31011860, 0, 0, 0, -16993684, 0, 1417168, 0, 0, 0, 2687934, 0, -36184580, 0, 0, 0, -3667576, 0, 1715140, 0, 0, 0, 55974678, 0, -42695508, 0, 0, 0, -8735720, 0, -28122610, 0, 0, 0, -1766400, 0, 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113135780940, 0, 832771351476, 0, 0, 0, -134565030880, 0, 16791788296, 0, 0, 0, 224309741784, 0, 54644129450, 0, 0, 0, -573257705978, 0, -487368610872, 0, 0, 0, 630111672948, 0, 182484525300, 0, 0, 0, -2108998334522, 0, 2710251356308, 0, 0, 0, -84761159400, 0, 294228854420, 0, 0, 0, -1507944340848, 0, -433200684440, 0, 0, 0, -400082279112, 0, 1486992633966, 0, 0, 0, 433699356876, 0, -62287759520, 0, 0, 0, 2532063946656, 0], 'weight': 8, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1], [0], [0], [0], [70], [0], [92], [0], [0], [0], [-3124], [0], [1174], [0], [0], [0], [12582], [0], [15404], [0], [0], [0], [-19200], [0], [-73225], [0], [0], [0], [24502], [0], [-124796], [0], [0], [0], [6440], [0], [-262394], [0], [0], [0], [681358], [0], [-1868], [0], [0], [0], [162424], [0], [-815079], [0], [0], [0], [1319870], [0], [-218680], [0], [0], [0], [-1540364], [0], [-1824354], [0], [0], [0], [82180], [0], [875668], [0], [0], [0], [2375056], [0], [636522], [0], [0], [0], [-287408], [0], [-7785404], [0], [0], [0], [-3625596], [0], [880740], [0], [0], [0], [-2485210], [0], [108008], [0], [0], [0], [1078280], [0], [7369522], [0], [0], [0]], 'ap': [[0], [0], [70], [92], [-3124], [1174], [12582], [15404], [-19200], [24502], [-124796], [-262394], [681358], [-1868], [162424], [1319870], [-1540364], [-1824354], [875668], [2375056], [636522], [-7785404], [-3625596], [-2485210], [7369522], [-5980434], [-16328556], [-20897612], [21264806], [-16853666], [-31011860], [-16993684], [2687934], [-36184580], [55974678], [-42695508], [-28122610], [-60860692], [-35266376], [66187518], [6802428], [-42527170], [-154152960], [-42359406], [83346814], [-41663324], [-207037660], [171080828], [191064516], [250620830], [-218953002], [-33400320], [25345426], [-70401828], [-312387074], [44499672], [156007878], [482696652], [316922014], [-491378634], [628908844], [532085358], [317092356], [689805144], [-350308070], [939926694], [1070636908], [-661889566], [-855846980], [-378355394], [-48877618], [1446214256], [1125102516], [100867718], [823702868], [-658182176], [643732710], [1516515214], [-993028330], [346831450], [1677671780], [182519438], [-1268273304], [1555978258], [-2088913852], [-1227330084], [-1543393930], [1334929802], [-2367992514], [1541664940], [1454889524], [-3146819304], [-660904228], [-965530348], [-4417153788], [-3052220160], [1465315878], [5336853870], [-1769118876], [-2910592202], [-5457705156], [-4671720626], [805986564], [5575033054], [928207484], [-1014966894], [-4415202348], [2606921790], [-889825136], [3432672730], [-1130743700], [-4726182474], [-1106807514], [3605504028], [263346700], [1038846710], [9183670716], [5298667344], [-4672162450], [-5039043444], [6847232054], [3793769666], [-10411043242], [4345591836], [7320096188], [-10406496858], [-1106054402], [12374173048], [15857153964], [-9074431738], [16734810980], [9918053928], [-177349436], [10871371662], [18551183310], [-16705289486], [16590424254], [11071412604], [-12187687458], [17280041246], [-63091948], [19879796974], [16819146908], [25122786500], [-14451971626], [-29758127648], [-12431051754], [-6445564162], [-18193369484], [32797648864], [9536594254], [-15457022898], [-13093311140], [-14304961368], [-17367697660], [-25667443200], [24444367356], [-11123197626], [23618327066], [-16478682178], [-31960712196], [-3640608354], [-32219846124], [29782527068], [-49398630986], [-46291180632], [-25632789068], [49643141814], [-36555278654], [38236078598], [-30590552028], [27253096974], [45307744328], [-4729449350], [-27428399020], [32862256118], [-4796298452], [54762333990], [-66341002060], [-62518539554], [-26085573836], [-69756288268], [9186459646], [4192775974], [-8842511664], [85182884294], [-4637123226], [22208713492], [-28498272358], [63980513280], [-90290963678], [-99385224700], [13737407716], [-36538017922], [69679072396], [6096320934], [-74973957662], [-24606928250], [-81050312834], [122958308200], [34642185534], [49937952940], [119022892670], [-9432766638], [128673650876], [-146663688666], [68244632012], [77178361492], [85874742998], [98920684996], [119619691874], [-35678710650], [77868921348], [-91879773900], [78248693056], [43834117722], [113055666628], [-85287565882], [-23773131064], [-72433902258], [-61234162162], [88670701156], [59825296134], [141246806924], [104022879876], [-88093861834], [202246969734], [68867181336], [-161440090876], [-137429403628], [-106502010650], [-185343266228], [-776428804], [247604851014], [123171413188], [-202399500664], [-194936829982], [73119711126], [-19850363700], [246653573744], [-181488778236], [123629779932], [-249381420228], [-139842007746], [-21882683218], [-271701138064], [-280179608476], [-109983464388], [-112276723636], [95414373952], [190166943510], [101092375726], [137217917616], [91737586458], [-227645557850], [49065446796], [-53702304066], [-62248001764], [-179257762434], [35142083146], [-308820436948], [-270432285780], [174522333038], [17246590126], [-315366393018], [-189901299100], [-147984749650], [-165952024058], [-99205228412], [127411798662], [70475516270], [101605234484], [174311541098], [-21614054028], [-115915922798], [239056463748], [57644752652], [-454578506818], [-58049487062], [42107064268], [226346850072], [-89418426764], [-309146035568], [-58259961738], [-153840668044], [117275850240], [-343256091182], [39377484646], [520263068876], [-26304533554], [436956801678], [140634093852], [14688290982], [511076574916], [142167487038], [248661748686], [332877974348], [-167746932738], [351677088876], [-93697661684], [-603561335126], [165736588462], [309807733108], [-449362341316], [234728445284], [347697973858], [63736826028], [664318897686], [-741591674448], [8236604822], [423797765424], [366998149214], [-293654516234], [454198983164], [171907868712], [705721961530], [-10167806964], [777586214312], [572590998898], [-530236700610], [607665209988], [-459165066982], [-210973477322], [-554733584956], [-214735733298], [-366903435422], [95868733404], [144643223172], [641502308384], [-561265614394], [-322892306234], [703389193102], [115058114332], [-228453046532], [503344463708], [-748106942068], [73180508142], [513726967502], [-212400154390], [-421040882820], [-994372121098], [303700037438], [-913100208178], [-484530545692], [535831437478], [130036441524], [-250871866242], [-654484613876], [231591857368], [907946519278], [-46449845492], [-1281728912758], [146821839062], [-1041739325028], [593090264598], [-782375696202], [-827421835728], [-849863472780], [1089186661318], [915850293368], [-1093236226874], [-197550194154], [-736807063312], [851963042444], [-926095239580], [1092908251786], [-243035845626], [-226863150676], [553274994058], [1069781626308], [-865691533180], [-411605286096], [-1343073241698], [-62042603956], [-172825225114], [673558931556], [-219219394528], [999267901538], [661611898422], [666753920490], [-586245937362], [-659616304610], [-1315281954964], [1807362901470], [-1752793570436], [-49485487720], [1704997406340], [692719133630], [114314917804], [-573338081320], [786706099874], [-750933729226], [-529017330588], [-987620507444], [2054161999736], [-1345742994054], [1093743407980], [-869973068370], [2030669911940], [414112965526], [509588094430], [725281275366], [59922781564], [1453190802654], [-1186080362098], [500798229644], [-2270334798682], [1112625477622], [1124108006412], [1454080578196], [1040422774402], [1408711156966], [-2042562722724], [1357542576204], [-1431233174294], [1247769219494], [-1465384169536], [116254896908], [1013313782], [861360308368], [1095420127918], [-2273904837658], [2212442723296], [113135780940], [54644129450], [-573257705978], [630111672948], [-2108998334522], [2710251356308], [2532063946656]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 13510799016329504, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '288.8.a.d', 'level': 288, 'maxp': 2999, 'weight': 8}
• 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

  
  {'ALdims': [7, 10, 7, 11], 'Nk2': 18432, 'analytic_conductor': 89.96688733942706, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [288, 1, [127, 37, 65], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 320, 'dim': 35, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11], 'hecke_orbit_code': 134218016, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4], 'label': '288.8.a', 'level': 288, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 352, 'mf_new_dim': 35, 'num_forms': 18, 'plus_dim': 18, 'prim_orbit_index': 1, 'relative_dim': 35, 'sturm_bound': 384, 'trace_bound': 11, 'trace_display': [0, 0, -278, 0], 'traces': [35, 0, 0, 0, -278, 0, 0, 0, 0, 0, 0, 0, -510, 0, 0, 0, -19610, 0, 0, 0, 0, 0, 0, 0, 550573, 0, 0, 0, 67602, 0, 0, 0, 0, 0, 0, 0, 675410, 0, 0, 0, -1309394, 0, 0, 0, 0, 0, 0, 0, 2571547, 0, 0, 0, -4188502, 0, 0, 0, 0, 0, 0, 0, -1428854, 0, 0, 0, 1491596, 0, 0, 0, 0, 0, 0, 0, -965658, 0, 0, 0, -3745696, 0, 0, 0, 0, 0, 0, 0, -371252, 0, 0, 0, 11948574, 0, 0, 0, 0, 0, 0, 0, 12237438, 0, 0, 0, 38536154, 0, 0, 0, 0, 0, 0, 0, -275550, 0, 0, 0, 21980710, 0, 0, 0, 0, 0, 0, 0, 17667383, 0, 0, 0, 48117924, 0, 0, 0, 0, 0, 0, 0, -5157024, 0, 0, 0, -13917458, 0, 0, 0, 0, 0, 0, 0, -17591900, 0, 0, 0, -91603142, 0, 0, 0, 0, 0, 0, 0, 2380682, 0, 0, 0, -9117696, 0, 0, 0, 0, 0, 0, 0, 283527421, 0, 0, 0, -141160366, 0, 0, 0, 0, 0, 0, 0, 63966474, 0, 0, 0, 120242812, 0, 0, 0, 0, 0, 0, 0, 437604182, 0, 0, 0, -110882438, 0, 0, 0, 0, 0, 0, 0, -13368868, 0, 0, 0, -421408, 0, 0, 0, 0, 0, 0, 0, 590838816, 0, 0, 0, 200167572, 0, 0, 0, 0, 0, 0, 0, -1329953766, 0, 0, 0, 482965678, 0, 0, 0, 0, 0, 0, 0, 226654062, 0, 0, 0, 335976826, 0, 0, 0, 0, 0, 0, 0, -997624320, 0, 0, 0, -27778602, 0, 0, 0, 0, 0, 0, 0, -580252076, 0, 0, 0, -734023678, 0, 0, 0, 0, 0, 0, 0, -1247305206, 0, 0, 0, 750103934, 0, 0, 0, 0, 0, 0, 0, 284443297, 0, 0, 0, -205414982, 0, 0, 0, 0, 0, 0, 0, -312004704, 0, 0, 0, -159030644, 0, 0, 0, 0, 0, 0, 0, 1440637534, 0, 0, 0, -1775674606, 0, 0, 0, 0, 0, 0, 0, 471112638, 0, 0, 0, -800849984, 0, 0, 0, 0, 0, 0, 0, 2671884222, 0, 0, 0, -222357344, 0, 0, 0, 0, 0, 0, 0, -157931894, 0, 0, 0, -1886642538, 0, 0, 0, 0, 0, 0, 0, 2332120591, 0, 0, 0, -752303388, 0, 0, 0, 0, 0, 0, 0, -4698603518, 0, 0, 0, 2860380476, 0, 0, 0, 0, 0, 0, 0, 3767814720, 0, 0, 0, 1519921162, 0, 0, 0, 0, 0, 0, 0, -6232707974, 0, 0, 0, -3458118778, 0, 0, 0, 0, 0, 0, 0, -3272364954, 0, 0, 0, -6519442016, 0, 0, 0, 0, 0, 0, 0, -5283283782, 0, 0, 0, 7607421290, 0, 0, 0, 0, 0, 0, 0, -1800785818, 0, 0, 0, 8033625600, 0, 0, 0, 0, 0, 0, 0, 7951169084, 0, 0, 0, 1088439126, 0, 0, 0, 0, 0, 0, 0, -6549378090, 0, 0, 0, -1391268014, 0, 0, 0, 0, 0, 0, 0, 1869023904, 0, 0, 0, 7633525024, 0, 0, 0, 0, 0, 0, 0, 7695807756, 0, 0, 0, 6542005364, 0, 0, 0, 0, 0, 0, 0, 10518090236, 0, 0, 0, -11744871296, 0, 0, 0, 0, 0, 0, 0, 3413259572, 0, 0, 0, -8692726286, 0, 0, 0, 0, 0, 0, 0, 1287968448, 0, 0, 0, 6057115534, 0, 0, 0, 0, 0, 0, 0, 5920513259, 0, 0, 0, 16199497604, 0, 0, 0, 0, 0, 0, 0, 10251992178, 0, 0, 0, -23415382964, 0, 0, 0, 0, 0, 0, 0, -15252182496, 0, 0, 0, -21208025358, 0, 0, 0, 0, 0, 0, 0, 2303268044, 0, 0, 0, 9110833278, 0, 0, 0, 0, 0, 0, 0, 545211814, 0, 0, 0, 29497285152, 0, 0, 0, 0, 0, 0, 0, 25530069408, 0, 0, 0, -24891651962, 0, 0, 0, 0, 0, 0, 0, -35280785458, 0, 0, 0, -27539783934, 0, 0, 0, 0, 0, 0, 0, 1357338706, 0, 0, 0, 36012225998, 0, 0, 0, 0, 0, 0, 0, 16417668703, 0, 0, 0, 29284479844, 0, 0, 0, 0, 0, 0, 0, 13333011282, 0, 0, 0, -35760990442, 0, 0, 0, 0, 0, 0, 0, -35409472224, 0, 0, 0, -48092383182, 0, 0, 0, 0, 0, 0, 0, -27246730846, 0, 0, 0, 73207340096, 0, 0, 0, 0, 0, 0, 0, 18244649878, 0, 0, 0, 78666429450, 0, 0, 0, 0, 0, 0, 0, 46464383068, 0, 0, 0, -70317626228, 0, 0, 0, 0, 0, 0, 0, -49633106684, 0, 0, 0, -54849962894, 0, 0, 0, 0, 0, 0, 0, -34762376166, 0, 0, 0, 78468142080, 0, 0, 0, 0, 0, 0, 0, 11579402400, 0, 0, 0, 91012276062, 0, 0, 0, 0, 0, 0, 0, 41799035442, 0, 0, 0, -95133508064, 0, 0, 0, 0, 0, 0, 0, -30248870924, 0, 0, 0, -91584466016, 0, 0, 0, 0, 0, 0, 0, -73205984790, 0, 0, 0, 36756092894, 0, 0, 0, 0, 0, 0, 0, 23838830422, 0, 0, 0, 55985756890, 0, 0, 0, 0, 0, 0, 0, 55433660544, 0, 0, 0, -110991826548, 0, 0, 0, 0, 0, 0, 0, -98454775332, 0, 0, 0, -103435609630, 0, 0, 0, 0, 0, 0, 0, -38831013888, 0, 0, 0, 92996379918, 0, 0, 0, 0, 0, 0, 0, 36953987616, 0, 0, 0, 128133030922, 0, 0, 0, 0, 0, 0, 0, 123977749074, 0, 0, 0, -143709455914, 0, 0, 0, 0, 0, 0, 0, -19898645483, 0, 0, 0, -172416151850, 0, 0, 0, 0, 0, 0, 0, -51191724094, 0, 0, 0, 221456563230, 0, 0, 0, 0, 0, 0, 0, 168604726052, 0, 0, 0, 144523252384, 0, 0, 0, 0, 0, 0, 0, 59783580250, 0, 0, 0, -219030223994, 0, 0, 0, 0, 0, 0, 0, -54070384800, 0, 0, 0, -221722342208, 0, 0, 0, 0, 0, 0, 0, -167171831476, 0, 0, 0, 296976436924, 0, 0, 0, 0, 0, 0, 0, 78693947808, 0, 0, 0, 298738804064, 0, 0, 0, 0, 0, 0, 0, 104036178574, 0, 0, 0, -246200205098, 0, 0, 0, 0, 0, 0, 0, -138193661506, 0, 0, 0, -247764454606, 0, 0, 0, 0, 0, 0, 0, -171775294044, 0, 0, 0, 265739344894, 0, 0, 0, 0, 0, 0, 0, 203875531363, 0, 0, 0, 319978967732, 0, 0, 0, 0, 0, 0, 0, 70434017760, 0, 0, 0, -219588581498, 0, 0, 0, 0, 0, 0, 0, -113412516748, 0, 0, 0, -333963843072, 0, 0, 0, 0, 0, 0, 0, -279422193230, 0, 0, 0], 'weight': 8, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 223919
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '288.8.a.d', 'source_level': 288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '96.8.a.a', 'target_level': 96, 'twist_class_label': '96.8.a.a', 'twist_class_level': 96, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 8}
  • id: 223920
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '288.8.a.d', 'source_level': 288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '96.8.a.b', 'target_level': 96, 'twist_class_label': '96.8.a.a', 'twist_class_level': 96, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 8}
  • id: 223921
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '288.8.a.d', 'source_level': 288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '192.8.a.e', 'target_level': 192, 'twist_class_label': '96.8.a.a', 'twist_class_level': 96, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 8}
  • id: 223922
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '288.8.a.d', 'source_level': 288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '192.8.a.m', 'target_level': 192, 'twist_class_label': '96.8.a.a', 'twist_class_level': 96, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 8}
  • id: 223923
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '288.8.a.d', 'source_level': 288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '288.8.a.c', 'target_level': 288, 'twist_class_label': '96.8.a.a', 'twist_class_level': 96, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 8}
  • id: 223924
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '288.8.a.d', 'source_level': 288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '288.8.a.d', 'target_level': 288, 'twist_class_label': '96.8.a.a', 'twist_class_level': 96, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 8}
  • id: 223925
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '288.8.a.d', 'source_level': 288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '576.8.a.l', 'target_level': 576, 'twist_class_label': '96.8.a.a', 'twist_class_level': 96, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 8}
  • id: 223926
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '288.8.a.d', 'source_level': 288, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '576.8.a.m', 'target_level': 576, 'twist_class_label': '96.8.a.a', 'twist_class_level': 96, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 647625
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 2}
  • id: 647626
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 3}
  • id: 647627
    {'charpoly_factorization': [[[-70, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 5}
  • id: 647628
    {'charpoly_factorization': [[[-92, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 7}
  • id: 647629
    {'charpoly_factorization': [[[3124, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 11}
  • id: 647630
    {'charpoly_factorization': [[[-1174, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 13}
  • id: 647631
    {'charpoly_factorization': [[[-12582, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 17}
  • id: 647632
    {'charpoly_factorization': [[[-15404, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 19}
  • id: 647633
    {'charpoly_factorization': [[[19200, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 23}
  • id: 647634
    {'charpoly_factorization': [[[-24502, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 29}
  • id: 647635
    {'charpoly_factorization': [[[124796, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 31}
  • id: 647636
    {'charpoly_factorization': [[[262394, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 37}
  • id: 647637
    {'charpoly_factorization': [[[-681358, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 41}
  • id: 647638
    {'charpoly_factorization': [[[1868, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 43}
  • id: 647639
    {'charpoly_factorization': [[[-162424, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 47}
  • id: 647640
    {'charpoly_factorization': [[[-1319870, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 53}
  • id: 647641
    {'charpoly_factorization': [[[1540364, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 59}
  • id: 647642
    {'charpoly_factorization': [[[1824354, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 61}
  • id: 647643
    {'charpoly_factorization': [[[-875668, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 67}
  • id: 647644
    {'charpoly_factorization': [[[-2375056, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 71}
  • id: 647645
    {'charpoly_factorization': [[[-636522, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 73}
  • id: 647646
    {'charpoly_factorization': [[[7785404, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 79}
  • id: 647647
    {'charpoly_factorization': [[[3625596, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 83}
  • id: 647648
    {'charpoly_factorization': [[[2485210, 1], 1]], 'hecke_orbit_code': 13510799016329504, 'p': 89}
  • id: 647649
    {'charpoly_factorization': [[[-7369522, 1], 1]], 'hecke_orbit_code': 13510799016329504, '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': 1, 'hecke_orbit': 4, 'label': '288.8.a.d', 'level': 288, 'portrait': 'data:image/png;base64,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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 35377711
    {'hecke_orbit_code': 13510799016329504, 'n': 1, 'trace_an': 1}
  • id: 35377712
    {'hecke_orbit_code': 13510799016329504, 'n': 2, 'trace_an': 0}
  • id: 35377713
    {'hecke_orbit_code': 13510799016329504, 'n': 3, 'trace_an': 0}
  • id: 35377714
    {'hecke_orbit_code': 13510799016329504, 'n': 4, 'trace_an': 0}
  • id: 35377715
    {'hecke_orbit_code': 13510799016329504, 'n': 5, 'trace_an': 70}
  • id: 35377716
    {'hecke_orbit_code': 13510799016329504, 'n': 6, 'trace_an': 0}
  • id: 35377717
    {'hecke_orbit_code': 13510799016329504, 'n': 7, 'trace_an': 92}
  • id: 35377718
    {'hecke_orbit_code': 13510799016329504, 'n': 8, 'trace_an': 0}
  • id: 35377719
    {'hecke_orbit_code': 13510799016329504, 'n': 9, 'trace_an': 0}
  • id: 35377720
    {'hecke_orbit_code': 13510799016329504, 'n': 10, 'trace_an': 0}
  • id: 35377721
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