Newform data - 338.8.a.e

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• 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': 21632, 'analytic_conductor': 105.58613861363315, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [13, 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': [338, 1, [171], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 2305, 'field_disc_factorization': [[5, 1], [461, 1]], 'field_poly': [-576, -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': [[3, [1316, -87, 1]], [5, [-2850, 215, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18014398643700050, 'hecke_ring_generator_nbound': 3, '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': '338.8.a.e', 'level': 338, '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, 13], 'level_radical': 26, 'minimal_twist': '26.8.a.e', 'nf_label': '2.2.2305.1', 'prim_orbit_index': 1, 'qexp_display': 'q-8q^{2}+(44-\\beta )q^{3}+2^{6}q^{4}+(-110+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '338.8.a', 'trace_display': [-16, 87, -215, -705], 'trace_hash': 1978038902751899366, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.920', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.370', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '66.628', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [2, -16, 87, 128, -215, -696, -705, -1024, 563, 1720, -614, 5568, 0, 5640, -15115, 8192, 6623, -4504, -5538, -13760, 25805, 4912, -40536, -44544, -104325, 0, -65511, -45120, -296268, 120920, 269900, -65536, 192266, -52984, -206575, 36032, 356733, 44304, 0, 110080, -209690, -206440, 856353, -39296, -561860, 324288, -1779581, 356352, 1368579, 834600, 1621543, 0, 1616894, 524088, -1028870, 360960, 1762142, 2370144, 1926542, -967360, -606882, -2159200, 4714650, 524288, 0, -1538128, 3098090, 423872, 643104, 1652600, 220205, -288256, -8592556, -2853864, -3299200, -354432, 10946210, 0, -1544888, -880640, -1915462, 1677520, 3576720, 1651520, -7379185, -6850824, -16289838, 314368, 3340108, 4494880, 0, -2594304, 6305460, 14236648, -9419890, -2850816, 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• 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], [-8, 0], [44, -1], [64, 0], [-110, 5], [-352, 8], [-328, -49], [-512, 0], [325, -87], [880, -40], [-212, -190], [2816, -64], [0, 0], [2624, 392], [-7720, 325], [4096, 0], [3890, -1157], [-2600, 696], [-1900, -1738], [-7040, 320], [13792, -1779], [1696, 1520], [-19224, -2088], [-22528, 512], [-51625, -1075], [0, 0], [-31816, -1879], [-20992, -3136], [-149610, 2952], [61760, -2600], [132592, 4716], [-32768, 0], [100112, -7958], [-31120, 9256], [-105040, 3505], [20800, -5568], [179570, -2407], [15200, 13904], [0, 0], [56320, -2560], [-112346, 15002], [-110336, 14232], [425380, 5593], [-13568, -12160], [-286310, 10760], [153792, 16704], [-887840, -3901], [180224, -4096], [667017, 34545], [413000, 8600], [837592, -53641], [0, 0], [817406, -17918], [254528, 15032], [-523880, 18890], [167936, 25088], [917488, -72834], [1196880, -23616], [980060, -33578], [-494080, 20800], [-263882, -79118], [-1060736, -37728], [2348888, 16874], [262144, 0], [0, 0], [-800896, 63664], [1600324, -102558], [248960, -74048], [356832, -70560], [840320, -28040], [131480, -42755], [-166400, 44544], [-4327418, 62280], [-1436560, 19256], [-1652300, 5400], [-121600, -111232], [5432096, 82018], [0, 0], [-685360, -174168], [-450560, 20480], [-1028375, 141288], [898768, -120016], [1662612, 251496], [882688, -113856], [-3760060, 140935], [-3403040, -44744], [-8283192, 276546], [108544, 97280], [1767190, -194272], [2290480, -86080], [0, 0], [-1230336, -133632], [3117632, 70196], [7102720, 31208], [-4796440, 172990], [-1441792, 32768], [-11833570, 228332], [-5336136, -276360], [9452380, -26776], [-3304000, -68800]], 'ap': [[-8, 0], [44, -1], [-110, 5], [-328, -49], [-212, -190], [0, 0], [3890, -1157], [-1900, -1738], [-19224, -2088], [-149610, 2952], [132592, 4716], [179570, -2407], [-112346, 15002], [425380, 5593], [-887840, -3901], [817406, -17918], [980060, -33578], [-263882, -79118], [1600324, -102558], [131480, -42755], [-4327418, 62280], [-685360, -174168], [1662612, 251496], [1767190, -194272], [-11833570, 228332], [6633934, -441514], [11815576, 26764], [1253892, -358848], [-7367686, -532039], [-20543982, -9720], [22522176, -59092], [-19363028, 1008749], [18239878, 1151738], [-10222044, -1472587], [-12329310, -1663380], [-271992, 310513], [50545814, -364176], [16431748, -2784852], [-25322472, -1387512], [12666950, -4517702], [29500764, 3645717], [407870, -2446458], [-139800032, 1779218], [-73429762, -2649466], [100297746, -358473], [118935928, 3289366], [54379164, 5451365], [-52815056, 392973], [116191780, 2060444], [9808754, -5747545], [22799322, 6893955], [-185922432, -7838961], [194786990, 28604], [54303700, -2178988], [-179743038, -341049], [229172120, -2224748], [-207190106, 1368914], [294584512, -6391221], [-187417058, -772106], [95289686, 5822944], [-300695692, 9430560], [-35105678, -1571539], [136062548, -17378506], [6168456, 542022], [296170122, -14889235], [-457945014, -19125612], [161522956, 4981788], [-478747278, -17188267], [-767414892, -16842171], [519068586, 23968213], [-656623778, 20314250], [-794207016, -6003000], [-1049563856, 22391542], [1708756350, 4743566], [-713319876, 12897160], [-74311536, 62047413], [364576366, -1625308], [184670490, -57982928], [-488089266, -41250162], [505604374, -66145782], [-1927641524, -26091049], [-211427662, -11482303], [-675532288, -84967841], [-449825646, -2020315], [672066952, -11086514], [-114971980, 103283899], [709425534, -20823876], [-93251130, 134960884], [142608858, 140118249], [-68238592, -36344392], [-1432774084, 51276208], [-971163056, -27086773], [-3256416904, 59527640], [-472958172, 18330561], [-1916561484, 60709828], [-2606901656, 4288358], [-1623718518, -65274096], [529539898, -169110715], [3411462436, -82826312], [-244072406, 113684319], [-2326772980, -10470033], [-5943677382, 36420135], [-3887124260, -137068255], [-107219190, -125177571], [3444097300, 55280779], [6008807358, 25350748], [802326668, 109586284], [-597347634, -304608768], [3112688712, 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[-85369943512, -1147297207], [-105894815938, -3038770106], [-29147483360, 1026479385], [33414223356, -1472584617], [38514207646, -5791384244], [-2743205462, -4353859075], [39784813248, 1613697996], [79783333336, -3041181542], [-65190516852, -5358629862], [-24888261114, -4743882760], [6485028540, -1094200024], [-98073568880, 2947483056], [-186386369670, -937864767], [8509514212, 3200269147], [-78768330144, -2466055329], [93390013454, 3860411624], [-68200323486, -5319741237], [-237894869132, 843516668], [118423714680, -2358266406], [77106361204, 2509557122], [-224662403180, 621315121], [46315490712, -2576133496], [-45215922214, 714969863], [-24243200498, 1098250748], [-10220429208, 2879448108], [-146720145648, 138872629], [120244998852, -6335032824], [114693769068, 5048504278], [-120298175664, -740698578], [53196866314, -6499858071], [-33820682306, -10061342008], [-129663709768, 5680555069], [-150386355718, 5115429933], [18782713830, -12294528822], [143966068980, 1431104694], 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[-342672826948, -45123482411], [846735557718, 49091999154], [-394459475780, 65772109404], [168058078056, 88927498926]], 'char_orbit_index': 1, 'field_poly': [-576, -1, 1], 'hecke_orbit_code': 18014398643700050, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '338.8.a.e', 'level': 338, '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': [23, 22, 20, 25], 'Nk2': 21632, 'analytic_conductor': 105.58613861363315, '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': [338, 1, [171], [1]], 'conrey_index': 1, 'cusp_dim': 305, 'dim': 90, 'eis_dim': 28, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 134218066, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 8, 8, 9, 9, 12, 12], 'label': '338.8.a', 'level': 338, '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, 13], 'level_radical': 26, 'mf_dim': 333, 'mf_new_dim': 90, 'num_forms': 18, 'plus_dim': 48, 'prim_orbit_index': 1, 'relative_dim': 90, 'sturm_bound': 364, 'trace_bound': 3, 'trace_display': [0, 66, -320, 1120], 'traces': [90, 0, 66, 5760, -320, -96, 1120, 0, 63676, -2096, -11116, 4224, 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• 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: 260724
    {'conductor': 13, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '338.8.a.e', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': True, 'target_label': '26.8.a.e', 'target_level': 26, 'twist_class_label': '26.8.a.e', 'twist_class_level': 26, 'twisting_char_label': '13.b', 'twisting_char_orbit': 2, 'weight': 8}
  • id: 260725
    {'conductor': 52, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '338.8.a.e', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '208.8.a.f', 'target_level': 208, 'twist_class_label': '26.8.a.e', 'twist_class_level': 26, 'twisting_char_label': '52.b', 'twisting_char_orbit': 2, 'weight': 8}
  • id: 260726
    {'conductor': 39, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '338.8.a.e', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '234.8.a.g', 'target_level': 234, 'twist_class_label': '26.8.a.e', 'twist_class_level': 26, 'twisting_char_label': '39.d', 'twisting_char_orbit': 4, 'weight': 8}
  • id: 260727
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '338.8.a.e', 'source_level': 338, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '338.8.a.e', 'target_level': 338, 'twist_class_label': '26.8.a.e', 'twist_class_level': 26, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 8}
  • id: 260728
    {'conductor': 13, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '338.8.a.e', 'source_level': 338, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '338.8.b.f', 'target_level': 338, 'twist_class_label': '26.8.a.e', 'twist_class_level': 26, 'twisting_char_label': '13.d', 'twisting_char_orbit': 4, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 737800
    {'charpoly_factorization': [[[8, 1], 2]], 'hecke_orbit_code': 18014398643700050, 'p': 2}
  • id: 737801
    {'charpoly_factorization': [[[1316, -87, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 3}
  • id: 737802
    {'charpoly_factorization': [[[-2850, 215, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 5}
  • id: 737803
    {'charpoly_factorization': [[[-1259320, 705, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 7}
  • id: 737804
    {'charpoly_factorization': [[[-20708376, 614, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 11}
  • id: 737805
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014398643700050, 'p': 13}
  • id: 737806
    {'charpoly_factorization': [[[-760430454, -6623, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 17}
  • id: 737807
    {'charpoly_factorization': [[[-1732978744, 5538, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 19}
  • id: 737808
    {'charpoly_factorization': [[[-2101510656, 40536, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 23}
  • id: 737809
    {'charpoly_factorization': [[[16922064276, 296268, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 29}
  • id: 737810
    {'charpoly_factorization': [[[5395324480, -269900, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 31}
  • id: 737811
    {'charpoly_factorization': [[[28476018086, -356733, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 37}
  • id: 737812
    {'charpoly_factorization': [[[-118698353280, 209690, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 41}
  • id: 737813
    {'charpoly_factorization': [[[165309064916, -856353, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 43}
  • id: 737814
    {'charpoly_factorization': [[[782957876064, 1779581, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 47}
  • id: 737815
    {'charpoly_factorization': [[[468578767104, -1616894, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 53}
  • id: 737816
    {'charpoly_factorization': [[[278179468536, -1926542, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 59}
  • id: 737817
    {'charpoly_factorization': [[[-3515051438224, 606882, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 61}
  • id: 737818
    {'charpoly_factorization': [[[-3661539701480, -3098090, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 67}
  • id: 737819
    {'charpoly_factorization': [[[-1041256691400, -220205, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 71}
  • id: 737820
    {'charpoly_factorization': [[[16222847075284, 8592556, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 73}
  • id: 737821
    {'charpoly_factorization': [[[-16883581410944, 1544888, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 79}
  • id: 737822
    {'charpoly_factorization': [[[-33249718167120, -3576720, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 83}
  • id: 737823
    {'charpoly_factorization': [[[-18959522390364, -3340108, 1], 1]], 'hecke_orbit_code': 18014398643700050, 'p': 89}
  • id: 737824
    {'charpoly_factorization': [[[107301346958636, 23438808, 1], 1]], 'hecke_orbit_code': 18014398643700050, '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': 5, 'label': '338.8.a.e', 'level': 338, 'portrait': 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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 40238173
    {'hecke_orbit_code': 18014398643700050, 'n': 1, 'trace_an': 2}
  • id: 40238174
    {'hecke_orbit_code': 18014398643700050, 'n': 2, 'trace_an': -16}
  • id: 40238175
    {'hecke_orbit_code': 18014398643700050, 'n': 3, 'trace_an': 87}
  • id: 40238176
    {'hecke_orbit_code': 18014398643700050, 'n': 4, 'trace_an': 128}
  • id: 40238177
    {'hecke_orbit_code': 18014398643700050, 'n': 5, 'trace_an': -215}
  • id: 40238178
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