Embedded newform data - 336.8.a.t.1.2

Formats: - HTML - YAML - JSON - 2026-01-20T15:47:35.765279

• 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': 21504, 'analytic_conductor': 104.96136856266492, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 1], [7, 1]], 'atkin_lehner_string': '+++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [336, 1, [127, 85, 113, 241], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 797917208, 'field_disc_factorization': [[2, 3], [11, 1], [9067241, 1]], 'field_poly': [-26848, -4400, -1, 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, [13116800, -101280, -414, 1]]], 'hecke_orbit': 20, 'hecke_orbit_code': 85568393054257488, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 288, 'hecke_ring_index_factorization': [[2, 5], [3, 2]], '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': '336.8.a.t', 'level': 336, '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': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '168.8.a.i', 'prim_orbit_index': 1, 'qexp_display': 'q-3^{3}q^{3}+(138+\\beta _{1})q^{5}-7^{3}q^{7}+3^{6}q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '336.8.a', 'trace_display': [0, -81, 414, -1029], 'trace_hash': 1289998864250654096, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.823', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '22.951', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '280.021', 'prec': 24}], 'trace_zratio': 0, 'traces': [3, 0, -81, 0, 414, 0, -1029, 0, 2187, 0, -9552, 0, 954, 0, -11178, 0, -30, 0, -39588, 0, 27783, 0, 31164, 0, 139581, 0, -59049, 0, 38898, 0, -147888, 0, 257904, 0, -142002, 0, -217662, 0, -25758, 0, 174594, 0, -193644, 0, 301806, 0, -675864, 0, 352947, 0, 810, 0, 476898, 0, -2055576, 0, 1068876, 0, -2107092, 0, 190962, 0, -750141, 0, -922572, 0, -3016380, 0, -841428, 0, -1285404, 0, 6735462, 0, -3768687, 0, 3276336, 0, -2985240, 0, 1594323, 0, -6168276, 0, 14892156, 0, -1050246, 0, 3937938, 0, -327222, 0, 3992976, 0, -24467016, 0, 22816878, 0, -6963408, 0, 16691430, 0, 4557912, 0, 3834054, 0, -22134000, 0, 19797330, 0, 5876874, 0, 39582534, 0, 58668336, 0, 695466, 0, 10290, 0, 43299471, 0, -4714038, 0, 92709804, 0, 25619160, 0, 5228388, 0, 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• 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

  
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0.0], [0.0, 0.0]], 'angles': [None, None, -0.22165955255666772, None, -0.18126651235163382, -0.1745039761879976, -0.17442397393370956, -0.22458395754032398, -0.35405297019944537, -0.22373356420283558, -0.2426544927930553, -0.14777107711200463, -0.2547748273082611, -0.29250617316860233, -0.23723719534397575, -0.27564656305428537, -0.23796011663751218, -0.17940758670810272, -0.2723440289111113, -0.38114848778006677, -0.27148348718766335, -0.3006888180200302, -0.3388453971552973, -0.19205974698431336, -0.19911625596906882, -0.1577074170178778, -0.20918581713793896, -0.22200846528674395, -0.04666716228596241, -0.14227763135630492, -0.0663840413815701, -0.21202041132760138, -0.16311183912173632, -0.15491889217266483, -0.1571533846176689, -0.24701044361405716, -0.3883317850334199, -0.18886474024129157, -0.16173100002342936, -0.35295287514004015, -0.12551097714643664, -0.2029427989352178, -0.3218510723552662, -0.28584004131686497, -0.27267746722687036, -0.2233526767020766, -0.165550746104801, 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-0.2522411669187081, -0.2903222574375566, -0.2917376604494473, -0.27859034205778965, -0.2952751463492938, -0.28391301255559037, -0.27661341496536995, -0.3955268399428887, -0.3044089322676013, -0.2735044377822463, -0.15938263532285138, -0.09600845119585441, -0.09925510378150265, -0.28865593941826195, -0.4365153394654736, -0.27436357513050275, -0.2558895435858362, -0.27888107488480834, -0.2832544717641992, -0.15878471335378966, -0.28507684573999514, -0.28525520175211583, -0.14612845882257383, -0.2074949998335343, -0.42681785613852047, -0.36026183935570494, -0.31924398990465286, -0.27369206798912693, -0.16913045790877462], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -6.163671346346117, 'hecke_orbit': 20, 'hecke_orbit_code': 85568393054257488, 'label': '336.8.a.t.1.2', 'level': 336, 'weight': 8}
• 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

  
  {'ALdims': [6, 5, 5, 6, 5, 5, 6, 4], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [3, 3, 3, 3, 3, 3, 3, 3], 'ALdims_old': [50, 49, 48, 49, 48, 50, 50, 50], 'Nk2': 21504, 'analytic_conductor': 104.96136856266492, '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': [336, 1, [127, 85, 113, 241], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 436, 'dim': 42, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 134218064, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3], 'label': '336.8.a', 'level': 336, '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': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 460, 'mf_new_dim': 42, 'num_forms': 23, 'plus_dim': 23, 'prim_orbit_index': 1, 'relative_dim': 42, 'sturm_bound': 512, 'trace_bound': 5, 'trace_display': [0, 0, 556, -686], 'traces': [42, 0, 0, 0, 556, 0, -686, 0, 30618, 0, 1204, 0, -13108, 0, -13500, 0, -2908, 0, 60584, 0, 0, 0, -71708, 0, 640126, 0, 0, 0, 172532, 0, -268024, 0, 0, 0, 0, 0, -498348, 0, -474552, 0, 441284, 0, 1890024, 0, 405324, 0, -1252248, 0, 4941258, 0, 95148, 0, 2923028, 0, 710200, 0, 0, 0, -4443576, 0, 2102364, 0, -500094, 0, 4613976, 0, -3708704, 0, -4790448, 0, 2646220, 0, -6713260, 0, -5630256, 0, 5957224, 0, -467576, 0, 22320522, 0, -15764912, 0, -3458048, 0, 3673512, 0, -20303356, 0, 9042852, 0, 4062744, 0, 39594256, 0, 6695124, 0, 877716, 0, -15869860, 0, -37467464, 0, 0, 0, 34972612, 0, 46167628, 0, 0, 0, 55463860, 0, 107203576, 0, -9555732, 0, 0, 0, 41073338, 0, 22330404, 0, 85004616, 0, -74550808, 0, 10536048, 0, 18335056, 0, 3460184, 0, -9841500, 0, -53385148, 0, -115858176, 0, 66406608, 0, 128564408, 0, 148712264, 0, 0, 0, -10574348, 0, 119826576, 0, 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0, 1250848440, 0, -11743245232, 0, 7960783424, 0, 3602177082, 0, -12761038004, 0, 5021610640, 0, 4738578192, 0, 1755738052, 0, -5507325752, 0, 187634016, 0, 1766537808, 0, -5437907164, 0, 69362892, 0, 2283169516, 0, 7633667016, 0, 971937792, 0, -2025225016, 0, -2168778024, 0, -5327725968, 0, -2310378512, 0, -7201973320, 0, 2130887412, 0, -19080088, 0, 2469106776, 0, 1352143044, 0, -5921581560, 0, -4084483840, 0, 3098704896, 0, 696918892, 0, -1519878824, 0, 517735800, 0, -2553116384, 0, 6374634008, 0, -1469352960, 0, -8120549008, 0, 4211376080, 0, -4101811488, 0, 9159208892, 0, -3736119268, 0, 0, 0, 16355134176, 0, 16962828784, 0, -222914916, 0, -11687573196, 0, -4357050880, 0, 746732952, 0, -17589136096, 0, 5210732882, 0, -3239366904, 0, 6770631976, 0, -204169992, 0, 4356194256, 0, 141649396, 0, 10215880084, 0, 12967918344, 0, 6601174664, 0, -1199345184, 0, 1532623356, 0, -8603664688, 0, 755801872, 0, 790086312, 0, -5834123900, 0, 20861253680, 0, -3993329592, 0, 19992637464, 0, 6254514680, 0, -364568526, 0, -14994909596, 0, 13269242144, 0, -3868154784, 0, 2560751564, 0, 8926770228, 0, -7516841472, 0, 1548477616, 0, 2583734568, 0, 3363588504, 0, 17611328856, 0, -31684618848, 0, 14196517056, 0, -3818502300, 0, 8510754728, 0, 8045291088, 0, -19412695876, 0, 13569321508, 0, -2703645216, 0, 60159203308, 0, 21565129424, 0, -2292356808, 0, 40321827248, 0, 28257055980, 0, 43577667360, 0, 12733999060, 0, -6345159360, 0, -3492236592, 0, -3628591512, 0, 14097739738, 0, -30177023904, 0, -12692085592, 0, -8118911000, 0, 12160071216, 0, -32951456528, 0, -1542143092, 0, 1929094380, 0, -4633306940, 0, -37789152200, 0, 9067377168, 0, -36018980040, 0, 11985987312, 0, 6621466824, 0, -3596240476, 0, 35412367088, 0, -4893966540, 0, -7850478348, 0, -5280503844, 0, 21881909592, 0, 3384745952, 0, 23646611080, 0, -14337460080, 0, -23848687144, 0, -26636854276, 0, -4104456624, 0, -12271235444, 0, -17289443220, 0, 23299516296, 0, 37034696668, 0, -41758785784, 0, 8684010648, 0, 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-31287242256, 0, -23881280760, 0, -35307536480, 0, 13826797856, 0, 6592239108, 0, -61659594540, 0, -27119830040, 0, 37555467264, 0, -77917678780, 0, -38579736948, 0, 32912635392, 0, -342123292, 0, 24634198640, 0, 2961740376, 0, 20110882216, 0, 40439923670, 0, 19912561992, 0, 104574232916, 0, -36037849974, 0, -43998248304, 0, 75421832424, 0, -33799216100, 0, 28864212624, 0, -100924637196, 0, -136062740872, 0, -11183287248, 0, 34099442356, 0, -7228742320, 0, 20728702224, 0, -105110563504, 0, -92137812352, 0, 4880745396, 0, 14925784944, 0, -7205507428, 0, -73953920916, 0, 64861871620, 0, -137481373640, 0, 16063100928, 0, 184440799720, 0, 22786916880, 0, 639854964, 0, -33503529056, 0, -55214724280, 0, -46634616432, 0, 21456950896, 0, -62521653656, 0, -11781029232, 0, -129401257192, 0, 80679705624, 0, -11569127940, 0, 119369745596, 0, -47140013344, 0, -32031407880, 0, 1573837664, 0, -109313853616, 0, 26656882704, 0, -141326208568, 0, -25199782852, 0, -27313781256, 0, 77076439668, 0, 7127647016, 0, 43667900064, 0, -140198727200, 0, -39831229740, 0, 58091666832, 0, 221169245100, 0, 193138995656, 0, 0, 0, 83058832324, 0, 74115744888, 0, -122825698272, 0, -107625471964, 0, 116230641864, 0, -70944855696, 0, -43978553108, 0, 66630833322, 0, 25495034148, 0, -59505424632, 0, -510082568, 0, 120267393840, 0, -285084883472, 0, -9421150816, 0, -85179180744, 0, 37282829732, 0, -12305836920, 0, 33656200812, 0, -10522402400, 0, -5923194312, 0, 23076115272, 0, 113615483760, 0, -306651203264, 0, -44290930464, 0, -229074430688, 0, 46678022396, 0, 0, 0], 'weight': 8, '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: 48296735
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 85568393054257488, 'source_is_minimal': False, 'source_label': '336.8.a.t.1.2', 'source_level': 336, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 85568393054257488, 'target_is_minimal': False, 'target_label': '336.8.a.t.1.2', 'target_level': 336, 'twist_class_label': '168.8.a.i.1.2', 'twist_class_level': 168, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 48296736
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 85568393054257488, 'source_is_minimal': False, 'source_label': '336.8.a.t.1.2', 'source_level': 336, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36028797153181864, 'target_is_minimal': True, 'target_label': '168.8.a.i.1.2', 'target_level': 168, 'twist_class_label': '168.8.a.i.1.2', 'twist_class_level': 168, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 48296737
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 85568393054257488, 'source_is_minimal': False, 'source_label': '336.8.a.t.1.2', 'source_level': 336, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525197525811704, 'target_is_minimal': False, 'target_label': '504.8.a.h.1.2', 'target_level': 504, 'twist_class_label': '168.8.a.i.1.2', 'twist_class_level': 168, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 733300
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 85568393054257488, 'p': 2}
  • id: 733301
    {'charpoly_factorization': [[[27, 1], 3]], 'hecke_orbit_code': 85568393054257488, 'p': 3}
  • id: 733302
    {'charpoly_factorization': [[[13116800, -101280, -414, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 5}
  • id: 733303
    {'charpoly_factorization': [[[343, 1], 3]], 'hecke_orbit_code': 85568393054257488, 'p': 7}
  • id: 733304
    {'charpoly_factorization': [[[-161473698288, -5260140, 9552, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 11}
  • id: 733305
    {'charpoly_factorization': [[[-66548459736, -36266148, -954, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 13}
  • id: 733306
    {'charpoly_factorization': [[[5924949046912, -663533664, 30, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 17}
  • id: 733307
    {'charpoly_factorization': [[[-1007347537472, -360886032, 39588, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 19}
  • id: 733308
    {'charpoly_factorization': [[[-92556992606048, -8553761628, -31164, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 23}
  • id: 733309
    {'charpoly_factorization': [[[417898488103976, -9867381204, -38898, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 29}
  • id: 733310
    {'charpoly_factorization': [[[832811883624448, -56910839232, 147888, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 31}
  • id: 733311
    {'charpoly_factorization': [[[-21459151591329528, -158491845252, 217662, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 37}
  • id: 733312
    {'charpoly_factorization': [[[-2463563736229280, -98373770208, -174594, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 41}
  • id: 733313
    {'charpoly_factorization': [[[-61198536302319040, -244828971984, 193644, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 43}
  • id: 733314
    {'charpoly_factorization': [[[96266351025104128, -934267572336, 675864, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 47}
  • id: 733315
    {'charpoly_factorization': [[[57060272837551496, -122761257732, -476898, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 53}
  • id: 733316
    {'charpoly_factorization': [[[-88289341675766784, -189036745344, 2107092, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 59}
  • id: 733317
    {'charpoly_factorization': [[[1657266508360950824, -3113764055508, -190962, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 61}
  • id: 733318
    {'charpoly_factorization': [[[305714607938784000, 2047250995200, 3016380, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 67}
  • id: 733319
    {'charpoly_factorization': [[[-66990087466335712800, -29038118795100, 1285404, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 71}
  • id: 733320
    {'charpoly_factorization': [[[12307314430246631000, 6931677150684, -6735462, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 73}
  • id: 733321
    {'charpoly_factorization': [[[-35634827481988707584, -12323565216240, 2985240, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 79}
  • id: 733322
    {'charpoly_factorization': [[[-139235750582926713408, -21644942709456, 6168276, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 83}
  • id: 733323
    {'charpoly_factorization': [[[130425718128246056800, -31318811708640, -3937938, 1], 1]], 'hecke_orbit_code': 85568393054257488, 'p': 89}
  • id: 733324
    {'charpoly_factorization': [[[-214217311034354740168, 134908526349756, -22816878, 1], 1]], 'hecke_orbit_code': 85568393054257488, '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': 20, 'label': '336.8.a.t', 'level': 336, 'portrait': 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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 64141357
    {'hecke_orbit_code': 85568393054257488, 'n': 1, 'trace_an': 3}
  • id: 64141358
    {'hecke_orbit_code': 85568393054257488, 'n': 2, 'trace_an': 0}
  • id: 64141359
    {'hecke_orbit_code': 85568393054257488, 'n': 3, 'trace_an': -81}
  • id: 64141360
    {'hecke_orbit_code': 85568393054257488, 'n': 4, 'trace_an': 0}
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