Embedded newform data - 425.6.a.d.1.3

Formats: - HTML - YAML - JSON - 2026-04-21T08:07:59.949692

• 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': 15300, 'analytic_conductor': 68.16312342051677, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[5, 1], [17, 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': [425, 1, [52, 326], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 5, 'field_disc': 979923052169, 'field_disc_factorization': [[59, 1], [4591, 1], [3617701, 1]], 'field_poly': [-4640, 1668, 220, -95, -2, 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': [[2, [-5996, 956, 483, -77, -7, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510798982775209, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], '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': '425.6.a.d', 'level': 425, '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': [5, 17], 'level_radical': 85, 'minimal_twist': '85.6.a.a', 'prim_orbit_index': 1, 'qexp_display': 'q+(1+\\beta _{1})q^{2}+(8-\\beta _{1}+\\beta _{3})q^{3}+(8+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 5, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '425.6.a', 'trace_display': [7, 36, 0, 204], 'trace_hash': 369306413100312075, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.547', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '57.882', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1129.353', 'prec': 27}], 'trace_zratio': 0, 'traces': [5, 7, 36, 43, 0, -105, 204, 63, 531, 0, -792, -785, -88, 860, 0, -2365, -1445, 2052, -5160, 0, -6428, 3058, 6140, -11751, 0, -9643, 13380, 4568, -7328, 0, -8968, 4703, -13072, -2023, 0, 2048, -9834, -10625, 10108, 0, -5302, -16222, 4916, -31514, 0, -16768, 20364, -45557, -26483, 0, -10404, 11525, -56492, 64635, 0, 73228, -67554, -54213, -96200, 0, -7284, -122335, -64108, 28483, 0, 115232, 60308, -12427, -89076, 0, -25304, -118722, -163328, -82768, 0, 92027, -19912, -134895, -50940, 0, 92445, -191390, 179060, -128054, 0, 87086, -55764, -167634, -387356, 0, -115200, 293228, 202558, 100515, 0, 428113, 106076, -49329, -535112, 0, -173098, 30345, 97304, -8477, 0, 169531, 192896, -44681, -283276, 0, -177200, 86280, -111044, -494445, 0, -179021, -199078, -305109, -58956, 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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-0.24538876125743522, -0.1457181942612763, -0.15368324401645905, -0.3923176553184312, -0.276588766644933, -0.2159145829064802, -0.2868708629183111, -0.18787254163222625, -0.4055307473972976, -0.16963352065387036, -0.17045082962156743, -0.33509303368932775, -0.10180426182301408, -0.3042760695698669, -0.24742529155548282, -0.3351538117225127, -0.21348691087807634, -0.24433917915356546, -0.16038256703672668, -0.29824209857106454, -0.18700717511108608, -0.27377972612099793, -0.31547756653332926, -0.33182760150156826, -0.285349941263811, -0.29472223617335375, -0.11675762239001425, -0.2748925100557839, -0.3294496807263643, -0.2627351228144667, -0.28328855439991024, -0.302041174085317, -0.3409773350843371, -0.24567883390621764, -0.12483589730948555, -0.3727401148017738, -0.31856796154806233, -0.31150520769629214, -0.12445043270539077, -0.37596897587794337, -0.227381099798081, -0.16148144080410223, -0.17607219747568012, -0.23575857362034428, -0.16492925049609308, -0.3363702914194134, -0.4130906002162199, -0.3822566065203627, -0.2921926215185189, -0.3317101934142832, -0.3284044500875399, -0.26550409609869163, -0.25360794094049594, -0.12447913779009499, -0.24248919034157929, -0.43636769597700026, -0.20857136235703205, -0.19490748456016904, -0.3895624617061262, -0.11116915352404208, -0.36243167880340066, -0.3140109810275586, -0.16876595362903862, -0.11833394669039264, -0.33648461975595295, -0.11103336873181996, -0.3469542392114156, -0.3239685581216371, -0.3127099176862645, -0.20202084829277595, -0.3210805700069568, -0.31333237143883425, -0.13612311388949225, -0.27526145100716254, -0.16433469115862295, -0.36023220842444276, -0.17209829295544857, -0.3681580376183139, -0.24098524066706406, -0.3174206316591245, -0.25776800591837185, -0.23411703291735622, -0.2867359976198858, -0.3486994223857018, -0.19765984458580113, -0.3522816586086878, -0.06664498141992127, -0.15076785411057747, -0.255394931515656, -0.18030068901080012, -0.0508117484200818, -0.1481318362186236, -0.403323775019155, -0.3135311621352714, -0.36350962310930757, -0.09323092020237325, -0.2679405498057896, -0.2595094616287424, -0.31695726381870254, -0.2482979638174946, -0.3072444417125193, -0.07071859439690373, -0.3131731369806691, -0.3063010721624366, -0.20401317594005697, -0.3742491516985544, -0.3045626385039887, -0.24355818135099352], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': 3.2988995695942975, 'hecke_orbit': 4, 'hecke_orbit_code': 13510798982775209, 'label': '425.6.a.d.1.3', 'level': 425, 'weight': 6}
• 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': [27, 33, 35, 31], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [3, 3, 3, 3], 'ALdims_old': [24, 24, 23, 21], 'Nk2': 15300, 'analytic_conductor': 68.16312342051677, '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': [425, 1, [52, 326], [1, 1]], 'conrey_index': 1, 'cusp_dim': 218, 'dim': 126, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 100663721, 'hecke_orbit_dims': [1, 1, 4, 5, 7, 8, 8, 11, 11, 15, 15, 20, 20], 'label': '425.6.a', 'level': 425, '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': [5, 17], 'level_radical': 85, 'mf_dim': 230, 'mf_new_dim': 126, 'num_forms': 13, 'plus_dim': 58, 'prim_orbit_index': 1, 'relative_dim': 126, 'sturm_bound': 270, 'trace_bound': 2, 'trace_display': [-2, 16, 0, 268], 'traces': [126, -2, 16, 1962, 0, 122, 268, -558, 10362, 0, -1108, 742, -112, 2628, 0, 34658, 578, -1362, 7176, 0, -8388, 614, 5512, 4338, 0, 7396, 8380, 2228, 14636, 0, -22688, 622, -8828, -2312, 0, 230002, 13944, 27296, -31368, 0, -39120, -14476, 6892, 77018, 0, -5968, -8708, 11426, 374994, 0, -10404, 19860, 17260, -77180, 0, -101216, -9600, -17214, -41800, 0, 99312, 25648, 140288, 291010, 0, -66372, 141908, 27744, 129576, 0, 154156, -241606, -94848, -203098, 0, 396208, 54164, -137568, 128304, 0, 917294, -21532, 30300, -440076, 0, -227404, 41240, 183430, -12132, 0, -354480, 374316, 97572, 19480, 0, 545238, -218260, -325182, -831864, 0, 38944, -34102, -66572, 359612, 0, -241708, 424064, 253640, 223908, 0, -1428440, 687296, -280400, 399844, 0, 709094, -402088, -483612, -152592, 0, 2151286, -497766, 705672, -1070648, 0, 3139800, -534876, 328322, 887100, 0, -321808, -828976, -528304, 1197276, 0, 79764, -402472, 754012, -376716, 0, -1869560, -507400, -658948, 7298002, 0, 2246184, 755532, 2275442, 394928, 0, 2794352, 2013912, 37570, 2003568, 0, -1390776, -1800796, 901692, 635616, 0, -1717632, 822686, -218308, -1986884, 0, -847836, 2549476, 8900, 3847262, 0, 2767384, 619536, -662016, -1173864, 0, 4783570, 1200680, 965440, -124376, 0, 332860, -2654324, -6888, -2273440, 0, -5337540, 488988, 697324, -6636980, 0, 479592, 1572622, 114624, 3522360, 0, 8406966, 2014360, -707638, -1543932, 0, 2707600, -5670036, -2359424, -1347318, 0, -4132240, -2868940, 3150404, -640440, 0, -2045848, -3757432, -1072388, -7625054, 0, -10215128, -650532, 704766, 4534464, 0, -153748, -5773656, 1221772, -3279892, 0, 4085548, 905316, -3380280, 4752192, 0, -3831768, -2664658, -486908, -7032568, 0, -9411156, 7778340, -832320, -1296536, 0, -2320412, -7778450, -1911304, 14020430, 0, 5492460, 3080792, 700348, 1090880, 0, 6427520, 16112080, 3755412, -9999904, 0, 6729362, 4158264, -4708268, 9132656, 0, 270816, 6043830, 1241972, -6242268, 0, -13699252, -3152740, 4767928, -12459392, 0, 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-52824072, -115383268, 31934996, 0, 2554544, -84673468, 56391420, -56428564, 0, -244735524, 55092840, -72053508, -2125884, 0, 52514104, 99116744, -12001028, -11146898, 0, 21651880, 35717720, 87747480, 46858832, 0, -57898232, -15222376, -49282616, -42224944, 0, -4388176, -51068396, -112734342, 8585336, 0, -62928700, 85810566, -15362720, -105894008, 0, -3539372, -100698200, 47383388, 53217000, 0, -5697904, 65931308, 17107644, -6146364, 0, -25574006, -39716344, 117170180, 15916360, 0, -30896240, -146181276, 31743104, -71507644, 0, -91422, 76937772, 7532812, 3621632, 0, -28262628, 53611028, -6307784, -71015584, 0, 158004192, 49695900, 82442520, 91900980, 0, 13631148, 28886934, 114722092, 45070886, 0, 50519240, -943296, 14575192, -14012184, 0, 139963268, -132122080, -25963168, -80498790, 0, -41045244, -37008316, 42139960, -30516048, 0, 21012528, 12218360, -103486164, -60454176, 0, -56380632, 38715800, -23518680, 13737852, 0, -59349896, -56280986, -61428328, 108983450, 0, 12383526, 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-8678504, -318209652, 0, -121970536, -164684700, 345172060, 54544772, 0, 350777640, -30145012, -24800712, -357301608, 0, 138887384, -49955280, -385247604, 161859640, 0, -120401126, 262415628, 213993820, -28176688, 0, -97226300, -19509548, -322599942, 36103036, 0, -166492184, -109977558, -188791868, -274234936, 0, 304020558, -133309716, -64107048, 191285696, 0, -263120984, -7285256, 8379244, -57176460, 0, -32809014, 64075704, -277409512, -225252688, 0, 128119460, 191618544, 54021952, 387350772, 0, 678330944, -3864344, 398345170, -188634576, 0], 'weight': 6, '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: 42953737
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13510798982775209, 'source_is_minimal': False, 'source_label': '425.6.a.d.1.3', 'source_level': 425, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13510798982775209, 'target_is_minimal': False, 'target_label': '425.6.a.d.1.3', 'target_level': 425, 'twist_class_label': '85.6.a.a.1.3', 'twist_class_level': 85, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 42953738
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13510798982775209, 'source_is_minimal': False, 'source_label': '425.6.a.d.1.3', 'source_level': 425, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 100663381, 'target_is_minimal': True, 'target_label': '85.6.a.a.1.3', 'target_level': 85, 'twist_class_label': '85.6.a.a.1.3', 'twist_class_level': 85, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 6}
  • id: 42953739
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13510798982775209, 'source_is_minimal': False, 'source_label': '425.6.a.d.1.3', 'source_level': 425, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27021597864887037, 'target_is_minimal': False, 'target_label': '765.6.a.g.1.3', 'target_level': 765, 'twist_class_label': '85.6.a.a.1.3', 'twist_class_level': 85, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 868925
    {'charpoly_factorization': [[[-5996, 956, 483, -77, -7, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 2}
  • id: 868926
    {'charpoly_factorization': [[[-729360, -11652, 13360, -225, -36, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 3}
  • id: 868927
    {'charpoly_factorization': [[[0, 1], 5]], 'hecke_orbit_code': 13510798982775209, 'p': 5}
  • id: 868928
    {'charpoly_factorization': [[[918510464, 92414832, 1738960, -7968, -204, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 7}
  • id: 868929
    {'charpoly_factorization': [[[-6830846460160, -113227514688, -437203056, -329884, 792, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 11}
  • id: 868930
    {'charpoly_factorization': [[[5736558121912, 14167526252, -166773358, -554511, 88, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 13}
  • id: 868931
    {'charpoly_factorization': [[[289, 1], 5]], 'hecke_orbit_code': 13510798982775209, 'p': 17}
  • id: 868932
    {'charpoly_factorization': [[[500794756887808, -2900715602688, 1373888932, 7792867, 5160, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 19}
  • id: 868933
    {'charpoly_factorization': [[[172503855682898560, -279690569206032, 130416900688, -9382976, -6140, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 23}
  • id: 868934
    {'charpoly_factorization': [[[-5082036583242680, -15007919165956, -1521413802, 14003569, 7328, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 29}
  • id: 868935
    {'charpoly_factorization': [[[-989959735504457856, 1083622283957244, -252863672156, -42660529, 8968, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 31}
  • id: 868936
    {'charpoly_factorization': [[[42715333491173930368, 5320752772160128, -1933548055656, -201087220, 9834, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 37}
  • id: 868937
    {'charpoly_factorization': [[[-25164324971199966368, 12784414565274640, -134720032688, -247525640, 5302, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 41}
  • id: 868938
    {'charpoly_factorization': [[[-87311845128371622656, 23012198677127232, 1097106741424, -343685156, -4916, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 43}
  • id: 868939
    {'charpoly_factorization': [[[-118587045283147997440, -10237896183566864, 5710792157048, -220394213, -20364, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 47}
  • id: 868940
    {'charpoly_factorization': [[[-12528670726822741736, 4630244420508732, 6621324857298, 1047584713, 56492, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 53}
  • id: 868941
    {'charpoly_factorization': [[[751480038388638595072, -1487042368450283840, -56611589167860, 1788494435, 96200, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 59}
  • id: 868942
    {'charpoly_factorization': [[[-288270071748059000, -53169078769514820, -11282086865994, -627698527, 7284, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 61}
  • id: 868943
    {'charpoly_factorization': [[[2500356745711184319488, 814564206132732672, 47249286873072, -1043905076, -60308, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 67}
  • id: 868944
    {'charpoly_factorization': [[[-16855465169302089805152, -3043291920059128260, -183070517837060, -3546636113, 25304, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 71}
  • id: 868945
    {'charpoly_factorization': [[[-177392900331119065549464, -9912788581588897860, -27215255240322, 7671513401, 163328, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 73}
  • id: 868946
    {'charpoly_factorization': [[[-123567359248267809333248, 10298333862512661504, -116592311938144, -5976338892, 50940, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 79}
  • id: 868947
    {'charpoly_factorization': [[[61464813696387728900096, -2212519792616657920, -170076025574592, 10326856240, -179060, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 83}
  • id: 868948
    {'charpoly_factorization': [[[933603867415359106711640, 97517794215568635276, 3509370774323882, 55011822481, 387356, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 89}
  • id: 868949
    {'charpoly_factorization': [[[-90798769271541639227000, -16136898522082836100, 971706016861270, -9768087487, -106076, 1], 1]], 'hecke_orbit_code': 13510798982775209, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 4, 'label': '425.6.a.d', 'level': 425, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 35185243
    {'hecke_orbit_code': 13510798982775209, 'n': 1, 'trace_an': 5}
  • id: 35185244
    {'hecke_orbit_code': 13510798982775209, 'n': 2, 'trace_an': 7}
  • id: 35185245
    {'hecke_orbit_code': 13510798982775209, 'n': 3, 'trace_an': 36}
  • id: 35185246
    {'hecke_orbit_code': 13510798982775209, 'n': 4, 'trace_an': 43}
  • id: 35185247
    {'hecke_orbit_code': 13510798982775209, 'n': 5, 'trace_an': 0}
  • id: 35185248
    {'hecke_orbit_code': 13510798982775209, 'n': 6, 'trace_an': -105}
  • id: 35185249
    {'hecke_orbit_code': 13510798982775209, 'n': 7, 'trace_an': 204}
  • id: 35185250
    {'hecke_orbit_code': 13510798982775209, 'n': 8, 'trace_an': 63}
  • id: 35185251
    {'hecke_orbit_code': 13510798982775209, 'n': 9, 'trace_an': 531}
  • id: 35185252
    {'hecke_orbit_code': 13510798982775209, 'n': 10, 'trace_an': 0}
  • id: 35185253
    {'hecke_orbit_code': 13510798982775209, 'n': 11, 'trace_an': -792}
  • id: 35185254
    {'hecke_orbit_code': 13510798982775209, 'n': 12, 'trace_an': -785}
  • id: 35185255
    {'hecke_orbit_code': 13510798982775209, 'n': 13, 'trace_an': -88}
  • id: 35185256
    {'hecke_orbit_code': 13510798982775209, 'n': 14, 'trace_an': 860}
  • id: 35185257
    {'hecke_orbit_code': 13510798982775209, 'n': 15, 'trace_an': 0}
  • id: 35185258
    {'hecke_orbit_code': 13510798982775209, 'n': 16, 'trace_an': -2365}
  • id: 35185259
    {'hecke_orbit_code': 13510798982775209, 'n': 17, 'trace_an': -1445}
  • id: 35185260
    {'hecke_orbit_code': 13510798982775209, 'n': 18, 'trace_an': 2052}
  • id: 35185261
    {'hecke_orbit_code': 13510798982775209, 'n': 19, 'trace_an': -5160}
  • id: 35185262
    {'hecke_orbit_code': 13510798982775209, 'n': 20, 'trace_an': 0}
  • id: 35185263
    {'hecke_orbit_code': 13510798982775209, 'n': 21, 'trace_an': -6428}
  • id: 35185264
    {'hecke_orbit_code': 13510798982775209, 'n': 22, 'trace_an': 3058}
  • id: 35185265
    {'hecke_orbit_code': 13510798982775209, 'n': 23, 'trace_an': 6140}
  • id: 35185266
    {'hecke_orbit_code': 13510798982775209, 'n': 24, 'trace_an': -11751}
  • id: 35185267
    {'hecke_orbit_code': 13510798982775209, 'n': 25, 'trace_an': 0}
  • id: 35185268
    {'hecke_orbit_code': 13510798982775209, 'n': 26, 'trace_an': -9643}
  • id: 35185269
    {'hecke_orbit_code': 13510798982775209, 'n': 27, 'trace_an': 13380}
  • id: 35185270
    {'hecke_orbit_code': 13510798982775209, 'n': 28, 'trace_an': 4568}
  • id: 35185271
    {'hecke_orbit_code': 13510798982775209, 'n': 29, 'trace_an': -7328}
  • id: 35185272
    {'hecke_orbit_code': 13510798982775209, 'n': 30, 'trace_an': 0}
  • id: 35185273
    {'hecke_orbit_code': 13510798982775209, 'n': 31, 'trace_an': -8968}
  • id: 35185274
    {'hecke_orbit_code': 13510798982775209, 'n': 32, 'trace_an': 4703}
  • id: 35185275
    {'hecke_orbit_code': 13510798982775209, 'n': 33, 'trace_an': -13072}
  • id: 35185276
    {'hecke_orbit_code': 13510798982775209, 'n': 34, 'trace_an': -2023}
  • id: 35185277
    {'hecke_orbit_code': 13510798982775209, 'n': 35, 'trace_an': 0}
  • id: 35185278
    {'hecke_orbit_code': 13510798982775209, 'n': 36, 'trace_an': 2048}
  • id: 35185279
    {'hecke_orbit_code': 13510798982775209, 'n': 37, 'trace_an': -9834}
  • id: 35185280
    {'hecke_orbit_code': 13510798982775209, 'n': 38, 'trace_an': -10625}
  • id: 35185281
    {'hecke_orbit_code': 13510798982775209, 'n': 39, 'trace_an': 10108}
  • id: 35185282
    {'hecke_orbit_code': 13510798982775209, 'n': 40, 'trace_an': 0}
  • id: 35185283
    {'hecke_orbit_code': 13510798982775209, 'n': 41, 'trace_an': -5302}
  • id: 35185284
    {'hecke_orbit_code': 13510798982775209, 'n': 42, 'trace_an': -16222}
  • id: 35185285
    {'hecke_orbit_code': 13510798982775209, 'n': 43, 'trace_an': 4916}
  • id: 35185286
    {'hecke_orbit_code': 13510798982775209, 'n': 44, 'trace_an': -31514}
  • id: 35185287
    {'hecke_orbit_code': 13510798982775209, 'n': 45, 'trace_an': 0}
  • id: 35185288
    {'hecke_orbit_code': 13510798982775209, 'n': 46, 'trace_an': -16768}
  • id: 35185289
    {'hecke_orbit_code': 13510798982775209, 'n': 47, 'trace_an': 20364}
  • id: 35185290
    {'hecke_orbit_code': 13510798982775209, 'n': 48, 'trace_an': -45557}
  • id: 35185291
    {'hecke_orbit_code': 13510798982775209, 'n': 49, 'trace_an': -26483}
  • id: 35185292
    {'hecke_orbit_code': 13510798982775209, 'n': 50, 'trace_an': 0}
  • id: 35185293
    {'hecke_orbit_code': 13510798982775209, 'n': 51, 'trace_an': -10404}
  • id: 35185294
    {'hecke_orbit_code': 13510798982775209, 'n': 52, 'trace_an': 11525}
  • id: 35185295
    {'hecke_orbit_code': 13510798982775209, 'n': 53, 'trace_an': -56492}
  • id: 35185296
    {'hecke_orbit_code': 13510798982775209, 'n': 54, 'trace_an': 64635}
  • id: 35185297
    {'hecke_orbit_code': 13510798982775209, 'n': 55, 'trace_an': 0}
  • id: 35185298
    {'hecke_orbit_code': 13510798982775209, 'n': 56, 'trace_an': 73228}
  • id: 35185299
    {'hecke_orbit_code': 13510798982775209, 'n': 57, 'trace_an': -67554}
  • id: 35185300
    {'hecke_orbit_code': 13510798982775209, 'n': 58, 'trace_an': -54213}
  • id: 35185301
    {'hecke_orbit_code': 13510798982775209, 'n': 59, 'trace_an': -96200}
  • id: 35185302
    {'hecke_orbit_code': 13510798982775209, 'n': 60, 'trace_an': 0}
  • id: 35185303
    {'hecke_orbit_code': 13510798982775209, 'n': 61, 'trace_an': -7284}
  • id: 35185304
    {'hecke_orbit_code': 13510798982775209, 'n': 62, 'trace_an': -122335}
  • id: 35185305
    {'hecke_orbit_code': 13510798982775209, 'n': 63, 'trace_an': -64108}
  • id: 35185306
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    {'hecke_orbit_code': 13510798982775209, 'n': 961, 'trace_an': 22600327}
  • id: 35185495
    {'hecke_orbit_code': 13510798982775209, 'n': 967, 'trace_an': -54700656}
  • id: 35185496
    {'hecke_orbit_code': 13510798982775209, 'n': 971, 'trace_an': -105947488}
  • id: 35185497
    {'hecke_orbit_code': 13510798982775209, 'n': 977, 'trace_an': 146997274}
  • id: 35185498
    {'hecke_orbit_code': 13510798982775209, 'n': 983, 'trace_an': -48958636}
  • id: 35185499
    {'hecke_orbit_code': 13510798982775209, 'n': 991, 'trace_an': 40559368}
  • id: 35185500
    {'hecke_orbit_code': 13510798982775209, 'n': 997, 'trace_an': -44624742}