Embedded newform data - 62.2.d.a.47.1

Formats: - HTML - YAML - JSON - 2025-09-06T22:28:56.035444

• 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': 248, 'analytic_conductor': 0.49507249253193836, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 31, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 5, 'char_parity': 1, 'char_values': [62, 5, [3], [4]], 'cm_discs': [], 'conrey_index': 33, 'dim': 8, 'field_disc': 511890625, 'field_disc_factorization': [[5, 6], [181, 2]], 'field_poly': [81, 81, 63, 15, 16, -5, 7, -3, 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': [[3, [25, -75, 85, 25, 56, 19, 11, 4, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 206191984702, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 31, 4, 1, 5, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '62.2.d.a', 'level': 62, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 31], 'level_radical': 62, 'minimal_twist': '62.2.d.a', 'nf_label': '8.0.511890625.1', 'prim_orbit_index': 4, 'qexp_display': 'q-\\beta _{2}q^{2}+(\\beta _{1}-\\beta _{2}+\\beta _{3}+\\beta _{4}-\\beta _{5}+\\cdots)q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c5', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '62.2.d', 'trace_display': [-2, -4, -4, 2], 'trace_hash': 2105964857953943447, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.030', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.686', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.061', 'prec': 17}, {'__RealLiteral__': 0, 'data': '206.280', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '12164.999', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.009', 'prec': 17}, 'traces': [8, -2, -4, -2, -4, 6, 2, -2, 0, 1, -2, -4, -11, 2, 21, -2, -7, -5, -14, 1, -7, -2, 3, 1, 0, 14, 5, 2, 13, -14, 15, 8, 2, 3, -28, 10, 52, 21, -16, 1, -11, -17, -22, -7, -19, 8, -10, 1, -10, -15, 28, -11, 7, 5, -7, -8, -20, -17, 22, 21, 4, 5, 66, -2, 0, -18, -26, 8, 4, -28, -15, -5, -29, -23, -34, 21, 34, -1, -2, 1, -45, 9, 38, -17, 25, 18, -20, 18, 1, 46, 38, -22, 21, -20, -12, -4, -10, 60, 14, 15, -11, 28, 3, 4, 28, -13, -3, -20, -13, -7, -17, 2, 34, -5, 12, -17, -6, 2, -94, -14, 8, -26, -8, -15, -18, -44, 5, -2, -6, 20, 15, -18, -5, 14, 0, 3, -5, 4, 25, 37, -22, 15, -23, 0, -31, -29, 37, -3, -38, 26, 14, -14, 8, 14, 17, 34, 33, 23, 9, -4, -32, 45, -25, 9, 37, -52, -16, -7, 11, -15, 7, 18, 63, 30, 12, -7, 40, 1, 29, -54, -24, -47, -38, 8, 12, -19, -46, -10, -45, 3, -6, 6, -65, -10, -11, -10, 43, 4, 51, 15, 53, -6, -10, -7, 41, -22, 42, 4, 60, 3, 72, 12, -48, 2, 22, 30, -88, -38, -61, -2, 50, 38, 8, 2, 34, 34, 15, 15, 2, -23, -14, 13, -18, -6, -44, 22, -65, -19, -13, -14, -5, -2, -34, 24, -71, -58, 12, -15, -46, 27, 30, 11, -68, 10, -22, -2, 5, -51, -24, 0, 61, 15, -63, 2, 29, 25, -50, -1, 26, 0, -49, -7, 42, 50, 38, 19, -38, 10, 69, -18, 34, 33, 37, 0, -60, -18, 104, 0, 69, 14, 93, 16, -54, -3, -19, -3, -60, 32, 8, -34, 68, 14, -43, -14, -24, 3, 27, 34, 64, -73, -50, -1, -13, -22, -44, -42, -18, 9, -40, 1, 88, 3, -6, 45, -32, 30, 55, -11, 86, -18, -69, -52, -9, 24, 78, 48, 9, -4, -16, -20, -22, -38, 40, -22, 44, -42, -74, -20, 21, 12, -75, -2, -10, 0, 24, -39, 34, 29, 44, 46, -68, 66, -82, -47, 6, 82, 134, 3, -99, -13, -142, 11, 22, -16, -9, 20, -4, -40, -25, 3, 3, 9, 95, -4, 89, -65, -73, 40, -85, 44, 1, -20, -28, 43, -61, -11, -74, -74, 130, -15, -46, -22, 53, 34, 47, 25, -1, -42, 66, 6, 13, -22, -65, -8, -68, -11, -50, -45, 19, 3, -19, -38, -23, -13, 1, -48, -56, 2, 58, 7, 30, -20, 100, 107, 140, -13, 33, 54, 28, 18, -27, 50, -42, -17, -22, 28, 15, 2, -4, -66, 86, -31, 42, -10, 98, 15, -84, -3, 80, 22, 1, -24, -27, 8, 11, 32, 42, -1, -69, 86, -222, -23, 97, -65, 19, 66, 70, 47, 77, 21, -102, -5, 52, 8, 16, -4, -25, 24, 9, 14, -32, 62, -3, -38, -116, 10, -66, 69, -41, -18, 128, -30, -23, 11, 41, 12, -17, 5, -75, -22, -157, -2, 0, -50, -18, 54, -31, -24, -96, -10, -12, -54, 2, -20, -107, 32, -84, 32, 11, -56, -1, -40, -76, -10, -18, -1, 20, -14, -94, 40, 12, 16, 137, -7, 61, -48, 52, -5, 36, 38, 87, -46, 290, 47, 128, 25, 76, -1, -12, 37, 1, -51, 8, -22, -25, 37, -18, 15, -49, 0, 6, -18, -63, -81, -51, -5, 54, -61, 54, 14, -2, -47, 32, 26, -54, 26, -12, -68, -26, -44, 3, -23, 16, 10, 106, -13, -20, 8, -18, 21, 49, -32, -40, -11, -45, -43, -54, -14, -120, 51, -11, 3, -56, 32, -148, -41, -5, 34, 110, 62, -90, 40, 55, -16, -72, 42, 135, -22, -9, 41, -52, 23, -78, -18, 41, 14, 111, 25, 153, 1, -15, 88, -51, 13, -176, -6, 16, -45, 25, 18, 103, -10, 25, -55, -21, 4, 168, -74, -76, -18, -14, 81, 22, 38, 45, -4, -56, 24, -1, -37, 6, -7, 27, 9, 35, -14, 110, -6, 36, -15, 18, -17, 124, 7, -79, 70, 80, 8, 51, 44, 87, 63, 17, -19, 20, -20, 53, -9, -131, -23, 43, 65, -110, -2, 73, -15, -176, -80, -74, -81, -34, 76, -11, 74, -43, 9, -10, -196, -114, -19, -107, -68, -93, -54, 32, 68, 15, 38, 69, 6, 36, -38, 82, 29, -83, 3, -46, 86, -132, 7, -35, 73, -68, -54, -34, -18, 137, 39, 76, -84, -25, 20, 57, 21, -4, -45, 20, -25, 13, -12, -16, -22, -90, -6, -23, 95, 59, 1, -10, -116, -42, 45, -38, 52, -92, -60, -76, 50, -81, -66, 66, -14, -30, -20, -125, 2, -23, -47, 109, 59, 58, -11, -41, -59, 9, 51, -41, 130, 83, 0, 142, 29, 42, 53, 98, -2, -70, -6, -70, -28, 256, -30, 32, -1, 53, -7, -92, 31, -146, 6, 122, 18, 83, 3, -83, 125, 24, -8, 55, 37, 98, 14, -178, 25, 193, -30, -70, -76, -145, 28, 9, 16, 172, 2, 19, -23, 111, 7, -116, 6, 8, 72, -45, -56, 51, 2, -29, 8, -63, 7, 46, -40, 0, 5, -48, -5, -238, 22, 0, -75, 57, 32, -198, 48, 147, 54, 75, 63, 19, -2, -98, -27, 0, -20, -25, 48, -68, -2, -54, -22, 98, -32, 162, -250, 7, 2, 36, -114, -58, 64, 2, -39, 97, -6, 142, -43, -184, -10, 181, -12, 73, -5, -113, 81, 147, -3, 9, 40, -78, -23, -97, 1, -39, 76, 22, -32, 52, 13, 28, 96, -32, -18, 47, -28, 34, 14, 114, -69, 44, -44, -145, 58, 80, -23, 210, -73, 78, 25, 29, -66, -42, 66, 72, -20, -144, -68, -120, -93, 76, -14, -47, 148, -234, -55, 38, -138, 114, -7, -150, 16, -72, 21, -20, -5, 94, -26, 109, 9, -95, -71, 74, -72, -3, 62, 65, 22, -226, 32, 95, 104, -114, 15, 112, 99, 18, -46, -22, 114, 60, -18], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [-0.5720614028176843, 0.4156269377774534], [-1.4332155881356903, -1.0412920765807945], [0.15450849718747373, -0.47552825814757677], [-1.4967212439997797, 0.0], [1.2526763570102766, 0.0], [0.2941896141836151, -0.9054225323808517], [0.10925400611220527, 0.3362492559819787], [0.6608007389502419, 2.0337355556204018], [0.8562164544695435, -0.6220776673500892], [0.16040955842338142, -0.493689857165193], [-0.7166077940678451, 0.5206460382903972], [-0.5249799253290114, -0.3814202421006055], [0.20802347114388836, 0.6402304124855966], [2.145124217994326, 1.5585239722271207], [-0.20225424859373686, -0.14694631307311828], [-0.059213523939124504, -0.18224048780557625], [-1.2232938789384733, -0.8887750272974423], [-0.07493056887868957, 0.05444024493800294], [-0.23125615011897213, 0.7117332460916895], [-1.3644464498414806, 0.991328372995769], [0.11342668652831267, 0.349091445804526], [-0.3265809597825309, -1.005112843477589], [0.19354914138393714, -0.5956830060717488], [1.2401744822402483, 0.0], [0.458849279765447, 0.0], [0.6232031587514313, -1.9180221020048962], [-0.38509920453496127, -0.2797909495956843], [0.7813306216112843, -0.5676699250334626], [-1.8749073153935334, 0.0], [-0.52869732839074, -0.8488104234471288], [0.1767766952966369, 0.0], [-0.7439768161727726, 0.5405307967995459], [0.1096178274560951, 0.07964201347440679], [-0.4403198453127157, 1.355165139010499], [1.069198055412538, 0.0], [0.968194550290869, 0.0], [0.0202380540512336, -0.062286325777944594], [0.3552395364929609, 1.0933148732181535], [-0.1635227919402194, -0.5032714047073475], [-0.9801484120941364, 0.7121195051433141], [0.36852437416578976, -1.1342013994178644], [-0.9434250665631785, 0.6854384328444376], [-0.20997883803638726, -0.15255855581458502], [-0.9890345040375799, -3.0439352107747513], [0.6045763352421195, 0.43925041897902606], [0.5710889128291551, 0.4149203824427275], [0.13685991036541578, 0.421211493030921], [0.07577456132549737, 0.055053441343924106], [-0.7094559540490517, 0.5154499223632532], [-0.10489983044616635, 0.3228484812166416], [-0.2624899626645057, 0.19071012105030274], [-0.11161390604641346, -0.34351228115887217], [0.44067117961001356, 1.356246434793338], [-0.2400883938328988, 0.7389160971663612], [0.33658904676854434, 0.0], [0.16407985504587308, 0.0], [-0.21103017885335, 0.6494841073041046], [0.4598296183947592, 0.3340857734002688], [1.072562108997163, -0.7792619861135603], [1.2303027596786094, 0.0], [0.6552358123960823, 0.2658308299532731], [2.035790711406822, 0.0], [-0.10112712429686843, 0.07347315653655914], [0.7857486069133494, 0.5708797792435154], [0.20094126127542855, -0.6184336117666177], [-1.0825667783469497, 0.0], [-0.095809494327159, 0.0], [-0.5785551176341673, 1.7806095608911692], [-0.31135314851163287, -0.9582464594219343], [-0.4362105999897392, -1.34251818232976], [-0.6116469394692367, 0.44438751364872114], [0.28379089613427233, -0.8734185690326622], [-0.5538667326398314, 0.40240773611021247], [-1.7774373999548325, -1.2913838619344598], [0.014310465257647158, 0.04404308333277908], [-0.3998070945813113, -0.29047685721158434], [-0.657629940364673, -0.47779611936456423], [-0.0728319514822876, -0.22415369805738336], [0.3027182305594585, 0.2199376685039787], [-1.1604069048597114, 0.8430849661716511], [0.2647290263377863, -0.8147521661722389], [1.0883333099725552, -0.7907204343399022], [0.2605860840051585, 0.8020015007596438], [0.08862613921177716, 0.2727632096154888], [0.25481039015338885, -0.7842257428762881], [-1.7109254214315994, 0.0], [0.18352823403408972, 0.0], [0.47968047632230787, -1.476304705081551], [1.8309299362621076, 1.330248464492566], [-0.4997901231907327, 0.3631187795751057], [-0.5284190930066974, 0.0], [-0.12612231599938153, 1.767056669219193], [-0.49915001258279335, 0.0], [0.11215017426572342, -0.08148187112726046], [-0.25335911531825317, -0.18407617213652538], [-0.5893562463623868, 1.8138520169609207], [-0.0662293950896445, 0.0], [1.110033370706863, 0.0], [0.19161749550119406, -0.5897380113387781], [-0.29074092035237664, -0.8948085441516911], [-0.07417538145380329, -0.22828835036406497], [0.10420269569617378, -0.07570768995607144], [0.0708961126521139, -0.21819579875913314], [2.0421959877778235, -1.4837422356425052], [0.20662296517388215, 0.15012037146139598], [0.44847160952340154, 1.3802536895206616], [-0.8157835257537719, -0.5927014251062718], [-0.5472376978454688, -0.3975914604124808], [-0.1697681313634292, -0.5224925830342319], [-1.387631521824898, -1.0081733138065874], [-0.19254960226748064, 0.13989547479784215], [0.15784509275659825, -0.48579724340088326], [-0.09386375205166445, 0.06819600770368467], [0.4888006603923517, 1.5043737454499326], [-0.14922087050221372, -0.4592546165476236], [0.4288007854018896, -1.3197131179592143], [-0.40190582350939236, 0.0], [-0.18242464773334985, 0.0], [-0.28968911166725564, 0.8915714098772364], [0.591018545740743, 0.42940010832053144], [-0.7038087225922136, 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'angles': [None, -0.4768134407875781, -0.3845793576903234, -0.3710415197152485, -0.4082131923827663, -0.20259051692364752, -0.06527198042739149, -0.3573730448120314, -0.46139249606755317, -0.26979375010700246, None, -0.16957404097099066, -0.4535664254576983, -0.44907409276123467, -0.0925888853923615, -0.07890117842889123, -0.10413761945746959, -0.14454744266449185, -0.34103068753166743, -0.4252930543529334, -0.37407105305329746, -0.06879923064044248, -0.23258294074581218, -0.3085876632376845, 0.2513262026980292, -0.4720496461243168, -0.3397431948174573, 0.07922862909158708, -0.20491096172719045, -0.40889663122345377, -0.17968203281213124, -0.40110413282516355, -0.1257569921029295, -0.13331290551670655, -0.34902720919764796, -0.48086188543401664, -0.2190663345576825, -0.46731190630607905, 0.32558367762098966, -0.010166692830916276, -0.49792321620111796, -0.4291474571630512, -0.18239270905612912, 0.10948802791661545, -0.46328736696818323, -0.08063321859703872, -0.12525468313722746, 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-0.08312380078826156, -0.12809384281741676, -0.09920878695670116, -0.03968272378676185, -0.46812927258121256, 0.009462934267775292, -0.4089000715724977, -0.46760352397321625, -0.4887550947910054, -0.491138281221242, -0.2407234208771427, -0.39454050803140167, -0.2235919807242938, -0.19526942000055234, -0.3965122192204696, -0.44298150241796763, -0.2788916757191481, 0.20780634116520336, -0.3861243232497835, -0.3501421082995667, -0.4017500109625948, -0.38658586577804127, 0.09850859465273935, -0.0686065417878399, -0.34566725469602877, -0.0968382571271075, -0.022018264517107488, -0.3365813969654396, -0.3382376127164457], 'char_orbit_index': 4, 'conrey_index': 47, 'dual_conrey_index': 33, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 7, 'embedding_root_imag': -1.3793970580583703, 'embedding_root_real': -0.4481932730888903, 'hecke_orbit': 1, 'hecke_orbit_code': 206191984702, 'label': '62.2.d.a.47.1', 'level': 62, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 248, 'analytic_conductor': 0.49507249253193836, 'char_conductor': 31, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 5, 'char_parity': 1, 'char_values': [62, 5, [3], [4]], 'conrey_index': 33, 'cusp_dim': 24, 'dim': 16, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 206191984702, 'hecke_orbit_dims': [8, 8], 'label': '62.2.d', 'level': 62, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 31], 'level_radical': 62, 'mf_dim': 40, 'mf_new_dim': 16, 'num_forms': 2, 'prim_orbit_index': 4, 'relative_dim': 4, 'sturm_bound': 16, 'trace_bound': 2, 'trace_display': [0, -6, -4, -2], 'traces': [16, 0, -6, -4, -4, 8, -2, 0, -12, -4, 4, -6, -4, 6, -2, -4, -2, -8, -16, -4, -6, -8, -12, -2, 16, 32, 42, 8, -6, -16, 28, 0, 32, 8, -28, 28, 12, 18, 14, 6, -18, -18, -10, 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-16, 132, -28, 52, 30, 38, 60, 72, 10, 110, 12, 74, 28, 48, -4, -32, -14, 80, -18, -96, 62, 108, -8, 72, -2, -94, -16, 0, -28, 118, 26, 128, -48, -64, 14, -70, -18, -36, -56, -30, -34, -56, 6, 8, 28, -36, -2, 62, 44, 150, -4, 92, 6, -38, -58, 50, 10, -12, 44, -34, -24, 84, -76, -66, 84, -30, -34, -16, -40, 12, 8, -20, 20, -52, -8, -108, 0, -22, -26, 10, -8, 70, 42, -112, 36, -98, -38, 26, 12, 32, -12, -122, 36, -144, 14, 104, 26, -20, 2, -56, -4, 38, 18, -30, -40, 42, -2, 18, -56, -22, 16, -106, 2, -14, -36, -100, 66, -28, -2, -116, -32, 116, -34, -16, -56, 130, 24, 88, -12, -64, -40, 60, -10, -130, -18, -26, -38, -98, -18, -52, 24, -50, 2, -62, -94, 40, -12, 46, -56, -62, 44, 232, 46, 82, -38, 176, 136, 200, -8, 18, 24, 68, 76, 54, 44, -12, -30, -2, -12, 18, -2, 28, -92, 34, -38, 42, 42, 136, 72, -76, 12, 220, -28, -32, 26, -38, 44, -42, 64, 66, 12, -56, 116, -116, -20, 118, -62, -100, 66, 92, 6, 42, 44, -128, -28, 12, -44, 38, -8, -72, 32, 6, 24, 12, 72, -4, -30, -196, -22, -76, 60, 12, -38, 156, -92, 34, 20, 98, 112, -128, 6, -124, 4, -152, 0, -108, -32, -138, 88, -10, -44, -190, -4, -144, -144, 66, -16, -170, 80, -74, -8, -38, -68, -148, -44, -20, -108, 16, -10, 84, 8, -92, 60, 22, 0, 164, -12, 126, -48, 58, 30, 74, 26, 108, -56, 292, 8, 234, 16, 40, 56, 80, 32, -10, -24, -36, -4, 6, 36, -22, 20, -58, -12, -152, -46, -28, -82, 24, -2, 36, -96, -62, 0, 16, -72, 104, 56, -144, -16, 86, -52, 62, -8, -2, -18, -16, -144, 164, 2, -82, -92, -160, 10, 70, -16, 74, -30, -122, 8, -34, -12, -124, 92, -44, 34, -52, 76, -100, -48, -2, 100, -48, 122, -40, 64, 36, 14, 0, 104, 240, -26, -40, 18, 52, 22, -48, -6, -46, 2, 90, -44, 194, 6, 6, 168, -58, 18, -332, -96, 48, -88, -38, 44, 144, 16, 62, -30, 56, -8, 128, -80, -136, -42, -14, 160, -20, 14, 90, 22, 94, 38, 70, -52, 18, -8, -58, 52, 94, -4, 292, 134, 58, -44, 76, -48, 112, -10, -48, 20, 232, 0, -50, 104, 74, 76, 40, 20, 186, -48, 82, 12, -104, 4, 180, 62, -70, 4, 10, -92, -296, -200, -172, -140, -66, 88, -186, 28, -182, -24, 18, -232, -340, -50, -94, -24, 26, -44, -16, 134, 44, 54, 90, -14, 0, -48, 8, 6, -214, 18, -28, 104, -264, 38, -100, 80, -40, -32, -100, -10, 146, 52, 20, -188, 6, 38, 210, -32, -132, -46, -24, -88, -232, -42, 32, -14, -70, -52, -64, 148, -52, 4, 188, -200, 18, 66, -38, -24, -96, -56, -52, 46, -78, -164, 4, -4, 74, -4, -150, 24, -28, -30, 2, 116, 74, -20, -82, -102, 42, 54, 76, 144, 68, -16, 340, 64, 152, 102, 128, 106, -312, 54, 56, 106, 312, -68, -58, 62, 106, 16, 20, 92, -140, 22, 88, -94, -54, -6, 22, 146, 68, 22, 76, 22, 240, -4, -208, -48, 120, 36, -278, -112, -100, 4, 110, 44, 220, -72, 46, -86, 182, 16, 16, 96, 98, 80, 60, -50, -30, 30, -14, 54, -234, -32, 36, 28, -20, -32, -144, -56, -288, 48, -72, 50, 28, 62, -204, -132, 192, 84, 80, 138, 40, 40, -28, -108, 40, -4, 182, 108, 88, -4, -92, -42, 146, -22, 180, -148, 58, -4, -44, -96, -122, 80, -10, -102, 140, -24, 148, -168, -166, -62, 64, 10, 76, 38, -110, 28, 164, -18, 22, 60, -208, -38, -22, 34, 12, 136, -88, -16, 16, 32, 128, -76, -16, -60, -84, 18, -28, -24, 204, -82, 6, -44, -298, 52, 110, -26, 120, -4, 178, 2, 84, -162, -36, 66, 76, 28, -116, -92, -234, -128, 26, -12, 26, 24, -296, -42, 102, -228, -24, -40, -72, -6, -40, 90, 2, -8, 94, -24, 50, 12, 136, -96, -176, 24, 122, 52, -66, 48, -220, 94, -40, 104, -176, 2, -80, 64, 98, -52, 104, 216, -150, 2], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 1786053
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 47, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 206191984702, 'source_is_minimal': True, 'source_label': '62.2.d.a.47.1', 'source_level': 62, 'target_conrey_index': 47, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 206191984702, 'target_is_minimal': True, 'target_label': '62.2.d.a.47.1', 'target_level': 62, 'twist_class_label': '62.2.d.a.33.1', 'twist_class_level': 62, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 1786054
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 47, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 206191984702, 'source_is_minimal': True, 'source_label': '62.2.d.a.47.1', 'source_level': 62, 'target_conrey_index': 109, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36029346808332846, 'target_is_minimal': False, 'target_label': '558.2.i.i.109.2', 'target_level': 558, 'twist_class_label': '62.2.d.a.33.1', 'twist_class_level': 62, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 1786055
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 47, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 206191984702, 'source_is_minimal': True, 'source_label': '62.2.d.a.47.1', 'source_level': 62, 'target_conrey_index': 481, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18015291896234480, 'target_is_minimal': False, 'target_label': '496.2.n.e.481.2', 'target_level': 496, 'twist_class_label': '62.2.d.a.33.1', 'twist_class_level': 62, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 1786056
    {'conductor': 31, 'degree': 4, 'order': 5, 'parity': 1, 'source_conrey_index': 47, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 206191984702, 'source_is_minimal': True, 'source_label': '62.2.d.a.47.1', 'source_level': 62, 'target_conrey_index': 33, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 206191984702, 'target_is_minimal': True, 'target_label': '62.2.d.a.33.1', 'target_level': 62, 'twist_class_label': '62.2.d.a.33.1', 'twist_class_level': 62, 'twisting_char_label': '31.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 1786057
    {'conductor': 31, 'degree': 4, 'order': 5, 'parity': 1, 'source_conrey_index': 47, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 206191984702, 'source_is_minimal': True, 'source_label': '62.2.d.a.47.1', 'source_level': 62, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 76561193698854786, 'target_is_minimal': False, 'target_label': '1922.2.a.r.1.4', 'target_level': 1922, 'twist_class_label': '62.2.d.a.33.1', 'twist_class_level': 62, 'twisting_char_label': '31.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 1786058
    {'conductor': 31, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 47, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 206191984702, 'source_is_minimal': True, 'source_label': '62.2.d.a.47.1', 'source_level': 62, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58546795189372802, 'target_is_minimal': False, 'target_label': '1922.2.a.n.1.1', 'target_level': 1922, 'twist_class_label': '62.2.d.a.33.1', 'twist_class_level': 62, 'twisting_char_label': '31.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 1786059
    {'conductor': 93, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 47, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 206191984702, 'source_is_minimal': True, 'source_label': '62.2.d.a.47.1', 'source_level': 62, 'target_conrey_index': 343, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36029346808332846, 'target_is_minimal': False, 'target_label': '558.2.i.i.343.2', 'target_level': 558, 'twist_class_label': '62.2.d.a.33.1', 'twist_class_level': 62, 'twisting_char_label': '93.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 1786060
    {'conductor': 124, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 47, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 206191984702, 'source_is_minimal': True, 'source_label': '62.2.d.a.47.1', 'source_level': 62, 'target_conrey_index': 33, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18015291896234480, 'target_is_minimal': False, 'target_label': '496.2.n.e.33.2', 'target_level': 496, 'twist_class_label': '62.2.d.a.33.1', 'twist_class_level': 62, 'twisting_char_label': '124.95', 'twisting_conrey_index': 95, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 197225
    {'charpoly_factorization': [[[1, 1, 1, 1, 1], 2]], 'hecke_orbit_code': 206191984702, 'p': 2}
  • id: 197226
    {'charpoly_factorization': [[[25, -75, 85, 25, 56, 19, 11, 4, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 3}
  • id: 197227
    {'charpoly_factorization': [[[9, -9, -8, 2, 1], 2]], 'hecke_orbit_code': 206191984702, 'p': 5}
  • id: 197228
    {'charpoly_factorization': [[[24025, 3100, 2965, 860, 316, -48, 14, -2, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 7}
  • id: 197229
    {'charpoly_factorization': [[[2025, -2700, 2115, -840, 241, 28, 9, 2, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 11}
  • id: 197230
    {'charpoly_factorization': [[[10201, 10807, 6722, 2865, 1031, 285, 68, 11, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 13}
  • id: 197231
    {'charpoly_factorization': [[[81, -54, 333, -45, 406, -135, 7, 7, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 17}
  • id: 197232
    {'charpoly_factorization': [[[2025, 9450, 18315, 10500, 3901, 924, 151, 14, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 19}
  • id: 197233
    {'charpoly_factorization': [[[81, -459, 1008, -45, 421, -115, 22, -3, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 23}
  • id: 197234
    {'charpoly_factorization': [[[2025, 5400, 4815, -3405, 1906, -547, 109, -13, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 29}
  • id: 197235
    {'charpoly_factorization': [[[923521, -446865, 130696, -26505, 5011, -855, 136, -15, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 31}
  • id: 197236
    {'charpoly_factorization': [[[1145, -875, 234, -26, 1], 2]], 'hecke_orbit_code': 206191984702, 'p': 37}
  • id: 197237
    {'charpoly_factorization': [[[826281, -447228, 97047, 6945, 3436, 615, 133, 11, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 41}
  • id: 197238
    {'charpoly_factorization': [[[436921, 235316, 100413, 40140, 13516, 2520, 302, 22, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 43}
  • id: 197239
    {'charpoly_factorization': [[[826281, 136350, 59139, -1860, 256, 250, 94, 10, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 47}
  • id: 197240
    {'charpoly_factorization': [[[29241, 15903, 4698, -579, 205, -89, 108, -7, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 53}
  • id: 197241
    {'charpoly_factorization': [[[731025, -371925, 152235, -59955, 18616, -3463, 379, -22, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 59}
  • id: 197242
    {'charpoly_factorization': [[[279, 114, -88, -2, 1], 2]], 'hecke_orbit_code': 206191984702, 'p': 61}
  • id: 197243
    {'charpoly_factorization': [[[-139, -128, 24, 13, 1], 2]], 'hecke_orbit_code': 206191984702, 'p': 67}
  • id: 197244
    {'charpoly_factorization': [[[6561, -54675, 172044, 27945, 7371, 1485, 234, 15, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 71}
  • id: 197245
    {'charpoly_factorization': [[[4818025, 5147275, 2284910, 262545, 50381, 5319, 506, 29, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 73}
  • id: 197246
    {'charpoly_factorization': [[[10272025, 4230600, 2742835, 282980, 9941, -952, 89, 2, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 79}
  • id: 197247
    {'charpoly_factorization': [[[3606201, -7531434, 6415443, -1313220, 179176, -15710, 982, -38, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 83}
  • id: 197248
    {'charpoly_factorization': [[[2025, 142425, 3828690, 278355, 30301, 2469, 286, -1, 1], 1]], 'hecke_orbit_code': 206191984702, 'p': 89}
  • id: 197249
    {'charpoly_factorization': [[[72361, 239410, 287159, -83620, 11776, -370, 374, 10, 1], 1]], 'hecke_orbit_code': 206191984702, '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': 4, 'hecke_orbit': 1, 'label': '62.2.d.a', 'level': 62, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 6534432
    {'hecke_orbit_code': 206191984702, 'n': 1, 'trace_an': 8}
  • id: 6534433
    {'hecke_orbit_code': 206191984702, 'n': 2, 'trace_an': -2}
  • id: 6534434
    {'hecke_orbit_code': 206191984702, 'n': 3, 'trace_an': -4}
  • id: 6534435
    {'hecke_orbit_code': 206191984702, 'n': 4, 'trace_an': -2}
  • id: 6534436
    {'hecke_orbit_code': 206191984702, 'n': 5, 'trace_an': -4}
  • id: 6534437
    {'hecke_orbit_code': 206191984702, 'n': 6, 'trace_an': 6}
  • id: 6534438
    {'hecke_orbit_code': 206191984702, 'n': 7, 'trace_an': 2}
  • id: 6534439
    {'hecke_orbit_code': 206191984702, 'n': 8, 'trace_an': -2}
  • id: 6534440
    {'hecke_orbit_code': 206191984702, 'n': 9, 'trace_an': 0}
  • id: 6534441
    {'hecke_orbit_code': 206191984702, 'n': 10, 'trace_an': 1}
  • id: 6534442
    {'hecke_orbit_code': 206191984702, 'n': 11, 'trace_an': -2}
  • id: 6534443
    {'hecke_orbit_code': 206191984702, 'n': 12, 'trace_an': -4}
  • id: 6534444
    {'hecke_orbit_code': 206191984702, 'n': 13, 'trace_an': -11}
  • id: 6534445
    {'hecke_orbit_code': 206191984702, 'n': 14, 'trace_an': 2}
  • id: 6534446
    {'hecke_orbit_code': 206191984702, 'n': 15, 'trace_an': 21}
  • id: 6534447
    {'hecke_orbit_code': 206191984702, 'n': 16, 'trace_an': -2}
  • id: 6534448
    {'hecke_orbit_code': 206191984702, 'n': 17, 'trace_an': -7}
  • id: 6534449
    {'hecke_orbit_code': 206191984702, 'n': 18, 'trace_an': -5}
  • id: 6534450
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  • id: 6534539
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  • id: 6534541
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  • id: 6534542
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  • id: 6534543
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  • id: 6534545
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  • id: 6534546
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  • id: 6534547
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  • id: 6534548
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  • id: 6534549
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  • id: 6534550
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  • id: 6534551
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  • id: 6534552
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  • id: 6534553
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  • id: 6534555
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  • id: 6534557
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  • id: 6534558
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  • id: 6534559
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  • id: 6534560
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  • id: 6534561
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  • id: 6534562
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  • id: 6534563
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  • id: 6534564
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  • id: 6534565
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  • id: 6534566
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  • id: 6534567
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  • id: 6534568
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  • id: 6534569
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  • id: 6534570
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  • id: 6534571
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  • id: 6534572
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  • id: 6534573
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  • id: 6534574
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  • id: 6534575
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  • id: 6534576
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  • id: 6534581
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  • id: 6534582
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  • id: 6534589
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  • id: 6534590
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  • id: 6534615
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  • id: 6534616
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  • id: 6534617
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  • id: 6534619
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  • id: 6534620
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  • id: 6534621
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  • id: 6534622
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  • id: 6534623
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  • id: 6534662
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  • id: 6534663
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  • id: 6534664
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  • id: 6534665
    {'hecke_orbit_code': 206191984702, 'n': 839, 'trace_an': -145}
  • id: 6534666
    {'hecke_orbit_code': 206191984702, 'n': 841, 'trace_an': 9}
  • id: 6534667
    {'hecke_orbit_code': 206191984702, 'n': 853, 'trace_an': -45}
  • id: 6534668
    {'hecke_orbit_code': 206191984702, 'n': 857, 'trace_an': -29}
  • id: 6534669
    {'hecke_orbit_code': 206191984702, 'n': 859, 'trace_an': -63}
  • id: 6534670
    {'hecke_orbit_code': 206191984702, 'n': 863, 'trace_an': 0}
  • id: 6534671
    {'hecke_orbit_code': 206191984702, 'n': 877, 'trace_an': 75}
  • id: 6534672
    {'hecke_orbit_code': 206191984702, 'n': 881, 'trace_an': -98}
  • id: 6534673
    {'hecke_orbit_code': 206191984702, 'n': 883, 'trace_an': 0}
  • id: 6534674
    {'hecke_orbit_code': 206191984702, 'n': 887, 'trace_an': -68}
  • id: 6534675
    {'hecke_orbit_code': 206191984702, 'n': 907, 'trace_an': -184}
  • id: 6534676
    {'hecke_orbit_code': 206191984702, 'n': 911, 'trace_an': 73}
  • id: 6534677
    {'hecke_orbit_code': 206191984702, 'n': 919, 'trace_an': -78}
  • id: 6534678
    {'hecke_orbit_code': 206191984702, 'n': 929, 'trace_an': 28}
  • id: 6534679
    {'hecke_orbit_code': 206191984702, 'n': 937, 'trace_an': 114}
  • id: 6534680
    {'hecke_orbit_code': 206191984702, 'n': 941, 'trace_an': -145}
  • id: 6534681
    {'hecke_orbit_code': 206191984702, 'n': 947, 'trace_an': 78}
  • id: 6534682
    {'hecke_orbit_code': 206191984702, 'n': 953, 'trace_an': 72}
  • id: 6534683
    {'hecke_orbit_code': 206191984702, 'n': 961, 'trace_an': -47}
  • id: 6534684
    {'hecke_orbit_code': 206191984702, 'n': 967, 'trace_an': 114}
  • id: 6534685
    {'hecke_orbit_code': 206191984702, 'n': 971, 'trace_an': -72}
  • id: 6534686
    {'hecke_orbit_code': 206191984702, 'n': 977, 'trace_an': 109}
  • id: 6534687
    {'hecke_orbit_code': 206191984702, 'n': 983, 'trace_an': -3}
  • id: 6534688
    {'hecke_orbit_code': 206191984702, 'n': 991, 'trace_an': -114}
  • id: 6534689
    {'hecke_orbit_code': 206191984702, 'n': 997, 'trace_an': -22}