Embedded newform data - 588.8.a.c.1.1

Formats: - HTML - YAML - JSON - 2026-07-12T11:25:57.576706

• 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': 37632, 'analytic_conductor': 183.6823949846636, 'analytic_rank': 1, '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': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [588, 1, [295, 197, 493], [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, [100, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199388959308, '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': '588.8.a.c', 'level': 588, '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': '84.8.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+3^{3}q^{3}-10^{2}q^{5}+3^{6}q^{9}+2774q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '588.8.a', 'trace_display': [0, 27, -100, 0], 'trace_hash': 2273732658531901689, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.973', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.896', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.034', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.590', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [1, 0, 27, 0, -100, 0, 0, 0, 729, 0, 2774, 0, 3294, 0, -2700, 0, -5900, 0, -6644, 0, 0, 0, 1982, 0, -68125, 0, 19683, 0, -208106, 0, 117792, 0, 74898, 0, 0, 0, -335686, 0, 88938, 0, 265488, 0, -93292, 0, -72900, 0, 657516, 0, 0, 0, -159300, 0, -608718, 0, -277400, 0, -179388, 0, 536120, 0, 1797090, 0, 0, 0, -329400, 0, 2123176, 0, 53514, 0, -1191214, 0, -1056430, 0, -1839375, 0, 0, 0, 998484, 0, 531441, 0, -3898004, 0, 590000, 0, -5618862, 0, 4622352, 0, 0, 0, 3180384, 0, 664400, 0, -15287710, 0, 2022246, 0, -2238688, 0, -12450224, 0, 0, 0, -7588602, 0, 5170966, 0, -9063522, 0, -9638678, 0, -198200, 0, 2401326, 0, 0, 0, -11792095, 0, 7168176, 0, 14625000, 0, 8083092, 0, -2518884, 0, 19758548, 0, 0, 0, -1968300, 0, -48089618, 0, -13717324, 0, 17752932, 0, 9137556, 0, 20810600, 0, 0, 0, -70710414, 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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.5773502691896257, 0.0], [0.0, 0.0], [-0.35777087639996635, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.3333333333333333, 0.0], [0.0, 0.0], [0.6283940419674803, 0.0], [0.0, 0.0], [0.4158357866103561, 0.0], [0.0, 0.0], [-0.2065591117977289, 0.0], [0.0, 0.0], [-0.29125996086186945, 0.0], [0.0, 0.0], [-0.2222245423292043, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.033966924357781064, 0.0], [0.0, 0.0], [-0.872, 0.0], [0.0, 0.0], [0.19245008972987526, 0.0], [0.0, 0.0], [-1.584497685295566, 0.0], [0.0, 0.0], [0.7101496336590872, 0.0], [0.0, 0.0], [0.36280346928708174, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0894999003531116, 0.0], [0.0, 0.0], [0.24008290333816887, 0.0], [0.0, 0.0], [0.6015910926463959, 0.0], [0.0, 0.0], [-0.1789389188809709, 0.0], [0.0, 0.0], [-0.11925695879998878, 0.0], [0.0, 0.0], [0.9237699329602269, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.1681590168077602, 0.0], [0.0, 0.0], [-0.561630391300994, 0.0], [0.0, 0.0], [-0.22482108711922266, 0.0], [0.0, 0.0], [-0.12830139933430748, 0.0], [0.0, 0.0], [0.33984428278957096, 0.0], [0.0, 0.0], [1.0137139080302229, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.14877393381405649, 0.0], [0.0, 0.0], [0.862430658660283, 0.0], [0.0, 0.0], [0.019610812921508552, 0.0], [0.0, 0.0], [-0.394989515880689, 0.0], [0.0, 0.0], [-0.3178415830989602, 0.0], [0.0, 0.0], [-0.5034494347333537, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.2278485612027081, 0.0], [0.0, 0.0], [0.1111111111111111, 0.0], [0.0, 0.0], [-0.7482883040307893, 0.0], [0.0, 0.0], [0.10420433145777093, 0.0], [0.0, 0.0], [-0.9148101651357339, 0.0], [0.0, 0.0], [0.6950211031468274, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.41000508215798814, 0.0], [0.0, 0.0], [0.07950546926670085, 0.0], [0.0, 0.0], [-1.7007534705392708, 0.0], [0.0, 0.0], [0.20946468065582677, 0.0], [0.0, 0.0]], 'angles': [None, None, -0.2786245735243501, None, -0.1991323736182766, -0.21666565745579022, -0.2732604490407158, -0.26772065857983235, -0.24729686808513895, -0.39554491324820334, -0.19222769500120995, -0.3416877159976705, -0.2013739118437867, -0.264258572847975, -0.1735866444861249, -0.2953024004089353, -0.22282418826289574, -0.16540361423963054, -0.17904246459514325, -0.28164027053575524, -0.27540072406793953, -0.231828935832486, -0.31103173912534154, -0.1935135424599512, -0.4118129690387874, -0.26723885555755944, -0.34485473183734827, -0.29839747578128456, -0.21937668809745334, -0.30086894369496553, -0.22199092805035775, -0.18728162322597205, -0.3972955602921353, -0.28475073870880785, -0.41976398589913344, -0.2991095684935836, -0.2846008809243094, -0.16811756341159254, -0.25849077831997896, -0.18428643343328477, -0.289464989653576, -0.2676709797498099, -0.21592728416453752, -0.4030609808147109, -0.18903994078467373, -0.3229038049413853, -0.16675665394159453, -0.3122978489406542, -0.36555183100862854, -0.2801138385105221, -0.17264669873403413, -0.14384266390320247, -0.25724453973277395, -0.29964414053243793, -0.20757629047247123, -0.41470169786907546, -0.40490796194106593, -0.10964155910414596, -0.4063895135325992, -0.23144806298907292, -0.21693278180052944, -0.395163153916085, -0.2948123842775501, -0.18526657115474582, -0.21620210043047158, -0.21232685328823522, -0.34129664056204495, -0.1834915116682979, -0.26686502553091024, -0.4053621649654094, -0.4467352993220012, -0.33166725719395435, -0.3299741940884166, -0.23121819085929007, -0.18602185066798402, -0.15669078694374988, -0.2581062261059522, -0.2523143272062486, -0.21855928620691972, -0.3539176618685898, -0.27627775801674065, -0.25341761426572657, -0.31572787279448183, -0.24883219880868782, -0.21885668559691512, -0.2750932108823179, -0.24602961934506773, -0.2518451697539319, -0.16526009756166024, -0.23908602946965485, -0.10139776773387289, -0.08393793267409508, -0.246125413156924, -0.35797682468776065, -0.260341303787998, -0.11433941016138856, -0.2354671040160586, -0.244162123375131, -0.47844822183390456, -0.25324344919741065], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 3, 'hecke_orbit_code': 9007199388959308, 'label': '588.8.a.c.1.1', 'level': 588, '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': [0, 0, 0, 0, 12, 12, 13, 11], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [8, 8, 8, 8, 4, 4, 4, 4], 'ALdims_old': [96, 93, 92, 95, 84, 84, 83, 85], 'Nk2': 37632, 'analytic_conductor': 183.6823949846636, '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': [588, 1, [295, 197, 493], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 760, 'dim': 48, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 134218316, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 8, 8], 'label': '588.8.a', 'level': 588, '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': 808, 'mf_new_dim': 48, 'num_forms': 14, 'plus_dim': 25, 'prim_orbit_index': 1, 'relative_dim': 48, 'sturm_bound': 896, 'trace_bound': 5, 'trace_display': [0, 0, -112, 0], 'traces': [48, 0, 0, 0, -112, 0, 0, 0, 34992, 0, 5572, 0, -2128, 0, -3780, 0, 8008, 0, 1400, 0, 0, 0, 86160, 0, 769712, 0, 0, 0, -324068, 0, -284704, 0, -102816, 0, 0, 0, -724462, 0, 128142, 0, -1090488, 0, 1767486, 0, -81648, 0, -137928, 0, 0, 0, 874800, 0, -3335036, 0, -3869544, 0, -577854, 0, -834904, 0, -338464, 0, 0, 0, -2326132, 0, -3364910, 0, -4008312, 0, 3096940, 0, -4378864, 0, 3770928, 0, 0, 0, 9362202, 0, 25509168, 0, -22918112, 0, 16344368, 0, 4539024, 0, 14917560, 0, 0, 0, -5375430, 0, -10453468, 0, -33327616, 0, 4061988, 0, -10671808, 0, 28348544, 0, 0, 0, 61501808, 0, -43252546, 0, -10614240, 0, 113468144, 0, -22080072, 0, -1551312, 0, 0, 0, 155396464, 0, -14780556, 0, -69509328, 0, 20321462, 0, -19554696, 0, 28828016, 0, 0, 0, -2755620, 0, -52574756, 0, -89143936, 0, 15935076, 0, 5866392, 0, -24244752, 0, 0, 0, 175100452, 0, -19489032, 0, 5837832, 0, -46320572, 0, 7073024, 0, 24371928, 0, 0, 0, -56005576, 0, 61025832, 0, 93419816, 0, 126260906, 0, 1020600, 0, -55498912, 0, 0, 0, -18390456, 0, 111580476, 0, 205268000, 0, -272839860, 0, -161630672, 0, -103212984, 0, 0, 0, -251976228, 0, 429844866, 0, 82977048, 0, 342891132, 0, 392674520, 0, -134639064, 0, 0, 0, -611329048, 0, 62810640, 0, 554764112, 0, -510342584, 0, 8402184, 0, 22585360, 0, 0, 0, -28624050, 0, -22888608, 0, 573441512, 0, 561120048, 0, 537650232, 0, -204313648, 0, 0, 0, -1618966592, 0, -627251848, 0, 149553432, 0, -1136701116, 0, -343015792, 0, 0, 0, 0, 0, 391584926, 0, 216427788, 0, 265547016, 0, 1110617504, 0, 169458912, 0, -203690088, 0, 0, 0, -236245572, 0, 114511864, 0, 51391200, 0, -131686992, 0, -447667696, 0, -463952944, 0, 0, 0, 1932069260, 0, 324378830, 0, -207549216, 0, 926799948, 0, 399019208, 0, -245119392, 0, 0, 0, 3282982880, 0, 710890236, 0, 72455376, 0, 1035645392, 0, -74952864, 0, 1719028248, 0, 0, 0, 1326832596, 0, 1581069352, 0, -1751473528, 0, 538031322, 0, -288346744, 0, 253185632, 0, 0, 0, 369977532, 0, -2057585104, 0, -376106976, 0, 2796816288, 0, -1946205856, 0, -532822752, 0, 0, 0, 1492018154, 0, -528132798, 0, -2905782208, 0, 2288409774, 0, 827460144, 0, 1224975696, 0, 0, 0, 1519924176, 0, -3026970480, 0, -286835920, 0, 93415518, 0, -2467998456, 0, 373536072, 0, 0, 0, 2720792216, 0, 3411398410, 0, -1443458016, 0, 5561659612, 0, 2969330168, 0, -794965752, 0, 0, 0, 332882210, 0, -3068221032, 0, -659412768, 0, -1307729278, 0, -412212024, 0, 3983335888, 0, 0, 0, 1288497294, 0, -3158331096, 0, -4098106488, 0, 916220484, 0, 2166400320, 0, -1277288992, 0, 0, 0, -176944500, 0, 6053214038, 0, -59521392, 0, -2865064836, 0, -2154346768, 0, -1933036056, 0, 0, 0, -5950825784, 0, 6457269402, 0, 2066206632, 0, 7483950598, 0, -100549512, 0, 4888190888, 0, 0, 0, -163690740, 0, -5189449084, 0, 1834046144, 0, -2181820752, 0, -5209166032, 0, -3869682712, 0, 0, 0, -10798226328, 0, 8286115600, 0, 864176040, 0, -2565729768, 0, 6320589576, 0, -5723009208, 0, 0, 0, 1677308710, 0, 637729200, 0, 6055965104, 0, -9789492502, 0, 2148512688, 0, 4517133656, 0, 0, 0, 4740332220, 0, -16884899732, 0, 2902503464, 0, -2431241244, 0, -1665608168, 0, -7464806384, 0, 0, 0, -5552500760, 0, 7604734090, 0, -1118945016, 0, 16424960424, 0, -1499680224, 0, -2820897576, 0, 0, 0, 15959025246, 0, 9057809988, 0, 6744717504, 0, -19939300296, 0, 6870546144, 0, 9304548960, 0, 0, 0, -421255566, 0, -13256000668, 0, 6585146736, 0, 520300152, 0, -9062017272, 0, -7474219984, 0, 0, 0, -22863582768, 0, 3130138720, 0, -608645016, 0, -15601755012, 0, 7208337528, 0, -12223649088, 0, 0, 0, -14631024082, 0, 19465758054, 0, 16122419264, 0, -1122314440, 0, -246740256, 0, 22391808208, 0, 0, 0, 5568018732, 0, -7758785928, 0, 6557324368, 0, -5467686624, 0, 6413420776, 0, -16665945408, 0, 0, 0, 2128402656, 0, -17047988578, 0, -2862202392, 0, -20053269504, 0, 421418480, 0, -14822704512, 0, 0, 0, 26905106752, 0, -1695750228, 0, 4052507704, 0, 21767805506, 0, 4829099688, 0, 32882847480, 0, 0, 0, 13741365096, 0, -15397001448, 0, -15357334384, 0, -2453019390, 0, -14373511040, 0, -12690551944, 0, 0, 0, -50046887716, 0, -10673998352, 0, -5662043856, 0, 17142484376, 0, 5187566720, 0, -2922059448, 0, 0, 0, -25392580808, 0, 8167513716, 0, -3211369504, 0, -8010041160, 0, 9750608280, 0, 44158378656, 0, 0, 0, 2257669260, 0, -8184317884, 0, -9775426360, 0, -15977883636, 0, -26744655672, 0, -17678140368, 0, 0, 0, -24242605976, 0, 37873373784, 0, -3192191856, 0, 7372651112, 0, 12174241520, 0, -34512169608, 0, 0, 0, 45613582288, 0, 19938230568, 0, -2452259208, 0, -21634164062, 0, 2749006512, 0, 54274844064, 0, 0, 0, 27021553236, 0, -12524049448, 0, -39585325584, 0, 3820250790, 0, -19038329856, 0, -27824036464, 0, 0, 0, -40608856668, 0, 44133654128, 0, -19254647160, 0, -11263251292, 0, -4770623312, 0, -42799346352, 0, 0, 0, 55273937432, 0, 6825045258, 0, -10647571536, 0, -18287852472, 0, 14518316232, 0, 75030888240, 0, 0, 0, 24936970932, 0, -126536290684, 0, -32686445008, 0, 18596183472, 0, -51523014256, 0, -30903461344, 0, 0, 0, -43905682748, 0, 10452977878, 0, -18705063888, 0, 52327176972, 0, 32496109632, 0, -16707303648, 0, 0, 0, -10552831602, 0, 48942283104, 0, 20075421968, 0, -17892515136, 0, 12334914144, 0, 82462991128, 0, 0, 0, 11915044272, 0, -92573383048, 0, -9382844128, 0, -10647744948, 0, -10979362912, 0, -40498151680, 0, 0, 0, -63189283884, 0, 5716815144, 0, 3308948496, 0, -17076888232, 0, 10255236992, 0, -58651210296, 0, 0, 0, 60630815012, 0, 93073323888, 0, 50329556928, 0, 42667306544, 0, 10874901240, 0, 91631651272, 0, 0, 0, 54532389564, 0, -102027605736, 0, 11565877568, 0, -31270338360, 0, -69001716224, 0, -46884160064, 0, 0, 0, -78479885840, 0, 87149466824, 0, -15341882976, 0, -4673108820, 0, 47711293616, 0, -76599132624, 0, 0, 0, 50904545560, 0, -3918688470, 0, 49349425048, 0, -28660310864, 0, 23300671464, 0, 156870035056, 0, 0, 0, 69102098298, 0, -47440761600, 0, 46208856176, 0, -7620578172, 0, 31009150872, 0, -108807355384, 0, 0, 0, -80001582756, 0, 109337168640, 0, -3312389808, 0, -3857707436, 0, -18095983808, 0, -24295832064, 0, 0, 0, -30055942080, 0, 82597296024, 0, 78303357720, 0, -67825023966, 0, 57216030480, 0, 136149986952, 0, 0, 0, 2961189252, 0, -213416752060, 0, 37534867272, 0, -22774074048, 0, -79440470592, 0, -93046299024, 0, 0, 0, -128272690772, 0, 157183991522, 0, -7779748032, 0, 118470645344, 0, 68718255648, 0, -139877090136, 0, 0, 0, -38403062710, 0, 39428708958, 0, 96296833416, 0, -76592732258, 0, 20666088576, 0, 144814750920, 0, 0, 0, 56077722900, 0, -188990127120, 0, -31193333248, 0, -75089176038, 0, -49813856512, 0, -66694434744, 0, 0, 0, -20167843724, 0, -78139436470, 0, -26024161464, 0, 31183019604, 0, 17435386920, 0, -121818812976, 0, 0, 0, -20318866750, 0, 44834818032, 0, 34318827088, 0, 89743783906, 0, 58277959488, 0, 95201128512, 0, 0, 0, 44429060898, 0, -78934143008, 0, 7800043272, 0, -31531106034, 0, -107072394912, 0, -76899033120, 0, 0, 0, -210081727344, 0, 115721006934, 0, -37305873864, 0, 48453075856, 0, 55166810384, 0, -7737780960, 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: 40523546
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388959308, 'source_is_minimal': False, 'source_label': '588.8.a.c.1.1', 'source_level': 588, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199388959308, 'target_is_minimal': False, 'target_label': '588.8.a.c.1.1', 'target_level': 588, 'twist_class_label': '84.8.a.a.1.1', 'twist_class_level': 84, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 40523547
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388959308, 'source_is_minimal': False, 'source_label': '588.8.a.c.1.1', 'source_level': 588, 'target_conrey_index': 361, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007749144773196, 'target_is_minimal': False, 'target_label': '588.8.i.c.361.1', 'target_level': 588, 'twist_class_label': '84.8.a.a.1.1', 'twist_class_level': 84, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 40523548
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388959308, 'source_is_minimal': False, 'source_label': '588.8.a.c.1.1', 'source_level': 588, 'target_conrey_index': 373, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518548026884684, 'target_is_minimal': False, 'target_label': '588.8.i.f.373.1', 'target_level': 588, 'twist_class_label': '84.8.a.a.1.1', 'twist_class_level': 84, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 40523549
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388959308, 'source_is_minimal': False, 'source_label': '588.8.a.c.1.1', 'source_level': 588, 'target_conrey_index': 373, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007749144773196, 'target_is_minimal': False, 'target_label': '588.8.i.c.373.1', 'target_level': 588, 'twist_class_label': '84.8.a.a.1.1', 'twist_class_level': 84, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 8}
  • id: 40523550
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388959308, 'source_is_minimal': False, 'source_label': '588.8.a.c.1.1', 'source_level': 588, 'target_conrey_index': 361, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518548026884684, 'target_is_minimal': False, 'target_label': '588.8.i.f.361.1', 'target_level': 588, 'twist_class_label': '84.8.a.a.1.1', 'twist_class_level': 84, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 8}
  • id: 40523551
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388959308, 'source_is_minimal': False, 'source_label': '588.8.a.c.1.1', 'source_level': 588, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 134217812, 'target_is_minimal': True, 'target_label': '84.8.a.a.1.1', 'target_level': 84, 'twist_class_label': '84.8.a.a.1.1', 'twist_class_level': 84, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 8}
  • id: 40523552
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388959308, 'source_is_minimal': False, 'source_label': '588.8.a.c.1.1', 'source_level': 588, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 134217980, 'target_is_minimal': False, 'target_label': '252.8.a.a.1.1', 'target_level': 252, 'twist_class_label': '84.8.a.a.1.1', 'twist_class_level': 84, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 8}
  • id: 40523553
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199388959308, 'source_is_minimal': False, 'source_label': '588.8.a.c.1.1', 'source_level': 588, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396780552528, 'target_is_minimal': False, 'target_label': '336.8.a.j.1.1', 'target_level': 336, 'twist_class_label': '84.8.a.a.1.1', 'twist_class_level': 84, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 797975
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 2}
  • id: 797976
    {'charpoly_factorization': [[[-27, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 3}
  • id: 797977
    {'charpoly_factorization': [[[100, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 5}
  • id: 797978
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 7}
  • id: 797979
    {'charpoly_factorization': [[[-2774, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 11}
  • id: 797980
    {'charpoly_factorization': [[[-3294, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 13}
  • id: 797981
    {'charpoly_factorization': [[[5900, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 17}
  • id: 797982
    {'charpoly_factorization': [[[6644, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 19}
  • id: 797983
    {'charpoly_factorization': [[[-1982, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 23}
  • id: 797984
    {'charpoly_factorization': [[[208106, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 29}
  • id: 797985
    {'charpoly_factorization': [[[-117792, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 31}
  • id: 797986
    {'charpoly_factorization': [[[335686, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 37}
  • id: 797987
    {'charpoly_factorization': [[[-265488, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 41}
  • id: 797988
    {'charpoly_factorization': [[[93292, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 43}
  • id: 797989
    {'charpoly_factorization': [[[-657516, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 47}
  • id: 797990
    {'charpoly_factorization': [[[608718, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 53}
  • id: 797991
    {'charpoly_factorization': [[[-536120, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 59}
  • id: 797992
    {'charpoly_factorization': [[[-1797090, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 61}
  • id: 797993
    {'charpoly_factorization': [[[-2123176, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 67}
  • id: 797994
    {'charpoly_factorization': [[[1191214, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 71}
  • id: 797995
    {'charpoly_factorization': [[[1056430, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 73}
  • id: 797996
    {'charpoly_factorization': [[[-998484, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 79}
  • id: 797997
    {'charpoly_factorization': [[[3898004, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 83}
  • id: 797998
    {'charpoly_factorization': [[[-4622352, 1], 1]], 'hecke_orbit_code': 9007199388959308, 'p': 89}
  • id: 797999
    {'charpoly_factorization': [[[15287710, 1], 1]], 'hecke_orbit_code': 9007199388959308, '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': 3, 'label': '588.8.a.c', 'level': 588, 'portrait': 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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29172553
    {'hecke_orbit_code': 9007199388959308, 'n': 1, 'trace_an': 1}
  • id: 29172554
    {'hecke_orbit_code': 9007199388959308, 'n': 2, 'trace_an': 0}
  • id: 29172555
    {'hecke_orbit_code': 9007199388959308, 'n': 3, 'trace_an': 27}
  • id: 29172556
    {'hecke_orbit_code': 9007199388959308, 'n': 4, 'trace_an': 0}
  • id: 29172557
    {'hecke_orbit_code': 9007199388959308, 'n': 5, 'trace_an': -100}
  • id: 29172558
    {'hecke_orbit_code': 9007199388959308, 'n': 6, 'trace_an': 0}
  • id: 29172559
    {'hecke_orbit_code': 9007199388959308, 'n': 7, 'trace_an': 0}
  • id: 29172560
    {'hecke_orbit_code': 9007199388959308, 'n': 8, 'trace_an': 0}
  • id: 29172561
    {'hecke_orbit_code': 9007199388959308, 'n': 9, 'trace_an': 729}
  • id: 29172562
    {'hecke_orbit_code': 9007199388959308, 'n': 10, 'trace_an': 0}
  • id: 29172563
    {'hecke_orbit_code': 9007199388959308, 'n': 11, 'trace_an': 2774}
  • id: 29172564
    {'hecke_orbit_code': 9007199388959308, 'n': 12, 'trace_an': 0}
  • id: 29172565
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