Embedded newform data - 435.4.a.i.1.2

Formats: - HTML - YAML - JSON - 2024-12-09T23:06:11.763507

• 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': 6960, 'analytic_conductor': 25.665830852497166, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, -1], [29, -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': [435, 1, [146, 262, 31], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 7, 'field_disc': 79523785914491232, 'field_disc_factorization': [[2, 5], [3, 3], [92041418882513, 1]], 'field_poly': [-166, -824, -227, 336, 55, -37, -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, [166, -824, 227, 336, -55, -37, 2, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797086073267, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 8, 'hecke_ring_index_factorization': [[2, 3]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '435.4.a.i', 'level': 435, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 5, 29], 'level_radical': 435, 'minimal_twist': '435.4.a.i', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{1}q^{2}-3q^{3}+(3+\\beta _{1}+\\beta _{2})q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 7, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '435.4.a', 'trace_display': [-2, -21, 35, -50], 'trace_hash': 1005601658215147217, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.079', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6.727', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.079', 'prec': 17}, {'__RealLiteral__': 0, 'data': '120.651', 'prec': 24}, {'__RealLiteral__': 0, 'data': '25.219', 'prec': 20}, {'__RealLiteral__': 0, 'data': '3327.695', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [7, -2, -21, 22, 35, 6, -50, -33, 63, -10, 76, -66, 30, 89, -105, 138, -140, -18, 90, 110, 150, 61, 34, 99, 175, -241, -189, -57, 203, 30, 524, -6, -228, 255, -250, 198, -28, 222, -90, -165, 1532, -267, -464, 1475, 315, 72, -360, -414, 569, -50, 420, -205, 282, 54, 380, 1102, -270, -58, 766, -330, 1200, 2856, -450, 701, 150, -183, 1546, 1801, -102, 445, 1802, -297, -220, 1594, -525, 1960, 3222, 723, 1298, 690, 567, 856, 1652, 171, -700, 7628, -609, 550, 2846, -90, -816, 472, -1572, 745, 450, 18, 1110, -761, 684, 550, 52, -765, -3352, 3438, 750, -4872, -1564, -594, 2986, 305, 84, -2385, -1104, -666, 170, 638, 270, -5542, -2238, 495, 2031, 3882, -4596, -1080, 875, 801, 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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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-0.25165501302355414, -0.15345365061126975, -0.2689753724214241, -0.4066592288995127, -0.17112683793740294, -0.15678533333755146, -0.24987537896761386, -0.29079832447337184, -0.11007527658724336, -0.36476477208960056, -0.4267733744267503, -0.23143203005955254, -0.4135206829528201, -0.12154750327382231, -0.2962286746533879, -0.24466283393771537, -0.26493675050411514, -0.1715809845431287, -0.19849950047643597, -0.13042192703143976, -0.2269653051755541, -0.21487387816601705, -0.2109878024768438, -0.26761678076764256, -0.32814743341232944, -0.2674258816666167, -0.1140649053880452, -0.15008192862251613, -0.12736604982720323, -0.25999656134811283, -0.09800954339253509, -0.40211441179491053, -0.19172218777520086, -0.3453161121687364, -0.18350258477720024, -0.4164610293695778, -0.18392679141559184, -0.2511741909991083, -0.15361299033163758, -0.4713783698346413, -0.3514372471525656, -0.4014397214226789, -0.28132193193383426, -0.4082090481623383, -0.34921975088196033, -0.14172016282835326, -0.1792462048922609, -0.24276394695019937, -0.09938317934968358, -0.23939464257115184, -0.15841117638279317, -0.398683653808372, -0.3171099575275551, -0.29346812651243837, -0.3822894099338306, -0.16338103123138184, -0.38455254849632164, -0.2868259278784476, -0.30361927188201193, -0.29051246198519726, -0.2464465547910361, -0.2796568882654928, -0.16566543710127501, -0.17335669386711805, -0.30410872786990917, -0.06360489045197483], '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': 3.5772009901616766, 'hecke_orbit': 9, 'hecke_orbit_code': 36028797086073267, 'label': '435.4.a.i.1.2', 'level': 435, 'weight': 4}
• 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': [5, 8, 6, 9, 7, 8, 10, 3], 'Nk2': 6960, 'analytic_conductor': 25.665830852497166, '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': [435, 1, [146, 262, 31], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 176, 'dim': 56, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 67109299, 'hecke_orbit_dims': [1, 1, 1, 2, 2, 5, 6, 6, 7, 7, 8, 10], 'label': '435.4.a', 'level': 435, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 5, 29], 'level_radical': 435, 'mf_dim': 184, 'mf_new_dim': 56, 'num_forms': 12, 'plus_dim': 32, 'prim_orbit_index': 1, 'relative_dim': 56, 'sturm_bound': 240, 'trace_bound': 2, 'trace_display': [0, 0, 0, 64], 'traces': [56, 0, 0, 212, 0, 12, 64, 0, 504, 20, -136, 48, -88, -192, -60, 820, 64, 0, 368, 80, 264, -252, 208, 144, 1400, 672, 0, 700, 0, 0, 728, -1240, 0, 148, 520, 1908, 320, -1064, 336, -60, -968, 468, -848, -520, 0, 1128, -1168, 576, 984, 0, 408, 1444, 1072, 108, -1120, 336, -168, -232, -1024, 180, 600, -328, 576, 1824, 520, 0, 2472, -1040, -432, 1920, -1072, 0, 1016, 808, 0, 5320, -3776, 1764, 2264, 640, 4536, -5408, 1080, -816, -440, 3344, -1044, 440, -104, 180, 1528, -1832, 2856, -6396, 80, 804, 328, -8200, -1224, 5300, 192, -1824, -3912, 17264, 120, -4536, 2808, 432, -872, 2160, -1512, 1468, -2592, -5952, 2680, 0, -792, -472, 176, 0, 12160, 7136, -1320, 12016, 0, -1728, -10840, -9920, 3864, -3200, -5464, 852, 2816, 3496, -540, -4984, 3888, -1920, 832, 6240, 2016, -496, -1104, 7380, -1160, -9296, 2496, -7848, -7088, 300, -2984, -24488, 576, 4148, 4880, -1584, -10464, -25912, 3192, 740, -8304, 0, -6144, -4152, 240, -15768, 80, 6936, 12232, 2880, 3312, 2408, -12656, 0, 1600, -17232, -2184, 5732, -1088, 720, 3464, -12216, -528, -11624, -3880, -4392, 19704, -13424, 2376, -2520, 12848, 18912, -11096, -880, -3120, -2640, -384, -2268, 12176, 0, -8712, 12092, 0, 3396, 2080, -5288, 1872, 1612, 6048, 0, 4640, -6480, -9216, 34128, 3280, 1296, 1776, 11688, 1128, -10640, -27136, 984, -784, 35816, 12600, -23084, 12936, 2016, -6216, -1440, -120, 4524, 7000, 6048, 2720, -36776, 8232, -21556, 28080, 900, -3848, -4264, 0, 27752, -10320, 14640, -6736, -25304, -4944, 500, -9960, 6300, -7200, 544, -240, -28972, -15976, -24480, 7808, -4800, 0, -15396, -16320, 6000, 11400, -40920, -5616, -1668, 7248, 0, 19304, -12488, 18240, 4504, -3400, -10104, 9752, -45928, 6552, 18640, -8080, -25248, -5840, -17848, 9840, -36108, 16176, -11160, 11416, 0, 2376, 22776, 4640, 35352, 11920, -15504, 0, -13936, 22880, 1200, -4176, 29584, 768, 28384, -1680, 1332, -32112, -83952, 6696, 9240, 3776, 8544, 16608, -16456, 4680, 10248, 31920, 8208, 2088, 20080, 7440, 16080, -21520, 17172, -2200, -4808, -1056, -54656, 61056, 6480, -34160, 7176, 2880, 64752, -720, -3840, 26600, 30904, 16152, 7560, -1952, -9576, 18488, -17672, -2760, 7936, -1928, -8352, 3912, -4800, 3024, 15612, 26584, -3888, 13760, -23032, -11568, -76080, 9680, -540, 72504, -25016, -16416, 30340, -11280, 27288, 4792, -49848, -8712, -2800, -77744, 0, 25688, 41784, -1500, -36032, 7424, 4212, 29216, 960, 4104, -72160, 25200, 29460, 12000, 34872, -7632, 42704, 3536, 0, 43616, 3992, 9984, 3840, -2240, -4680, 33208, 110216, -4080, 20500, 15312, 8988, -63952, 43152, 0, 5220, -12016, -2736, 1872, 6480, 4080, -25864, 12080, 10152, 3440, 110264, 5520, 48224, -160, 5280, 7016, 29176, -10512, 82848, 1600, -1632, -38544, -33896, 3696, 27280, -31280, 5184, -39704, 44400, -3480, -52012, -29760, -26712, -21848, 25920, 8856, 22508, 12080, -57888, -2160, 19392, -21768, -94112, 12184, 0, 54392, 22848, 1344, 14360, 35200, -89064, 35168, 20336, 3672, 3160, 76672, -27792, -57792, 12064, 10080, -36312, -25280, 12996, -33648, 49920, 44256, -34352, -10736, -62376, 9200, -6608, 9648, -38296, -4800, 0, 43600, 7528, -19632, 44928, 30320, 972, -24440, 35952, 33096, 21620, 28984, -28896, -11832, 156280, -10080, 51328, -72192, -73056, -47224, 2000, 39312, -4132, 50160, 3024, 25200, 53216, 17184, -67688, -39632, -16920, 24816, 70400, -1512, -85944, -21480, 38544, -32592, -58080, -37944, -7600, 49984, -2088, 36424, 81304, 6600, -35776, 66624, -34140, 34912, 3360, -9216, -80456, -29904, -14640, -11640, -50488, 12552, 2084, 5960, 1620, -5112, -14792, -30624, -6108, 3040, -61620, -22072, -11056, 5400, -6300, 6960, -102864, 4032, -41424, 17280, -122988, -59680, -2952, 32432, 32440, -12528, -73912, 130528, -4260, -5240, 12448, 5184, -108248, -27096, -3840, 20440, 215952, -13440, 35656, 5200, 16416, 35672, 70984, -49584, -13920, 17600, -95880, 27152, -81808, 4680, -36964, -86536, 70992, -35984, -65800, -19752, -69992, -111656, 0, -8720, -71656, -9072, 105376, -129760, 3600, -68768, 122584, 22248, -137616, -16880, -79344, -143688, -14384, 0, -74880, -30224, -9360, 93400, 142472, -3720, -34472, -76528, -50928, 59824, -18720, -3888, 332, -114320, -720, 35000, 84248, -16560, -142400, -115856, 17280, 124856, -185904, 82008, 58812, 45320, -53760, -57848, 0, -9648, -56780, -39144, 112512, -103272, 107016, 12240, 56368, 147584, 0, -32224, 16800, 56928, -1992, -86688, -27732, -47280, 122856, 9144, 111340, -5816, -30960, 82552, 168216, 76920, -224728, -27520, 7272, -21344, 184680, -25176, -2160, -208928, -66828, 166752, -163104, 0, 42904, 25520, -4176, -38768, -40080, 65760, 185912, -143288, 47880, 11960, -58712, 24960, 125024, -111056, 20160, -45720, -220440, -33984, -121208, -20800, 0, -123648, 120000, 28584, 17500, 182768, 15876, 43776, -111856, -960, -88808, -84512, -116640, 11064, -68400, 20376, 145456, -165616, 11424, 7760, -189024, -39504, -179200, -31760, 5760, 22192, 196416, 72864, 58780, 0, -140688, -80888, -136024, 40824, -14160, -132208, 156720, 121920, 111824, -29340, -88264, -142368, -48672, 2288, -46920, 48528, 283152, -123536, -20256, 19840, 20488, 9720, 283284, 29744, 0, -77256, 110856, -27408, 1044, -18640, -7344, 15200, -82384, -118104, 2400, -58752, 139944, -94312, 264192, -3960, -243200, 51168, 206784, -83136, -77520, 78120, 43816, -90704, 30096, 18200, -130184, 26592, 42532, 29472, -31200, -97232, 347880, -9396, -31616, 63320, 7248, 24656, 336488, 31296, -67920, -192528, 3960, -106144, 221592, -23040, 75596, -117968, 15216, -94792, -31000, -936, 149864, 47952, -187872, -56960, -161920, 8016, 201208, 22584, 1620, 61488, 2320, -8136, 235032, -8880, 52884, 22800, 484936, 13752, 6080, 83920, -92400, 78408, 117560, 0, -113248, -75856, -16488, 5864, -72560, -816, 73768, 217456, 102132, -25920, 22832, 25704, -152664, -31392, -49200, 47096, -71992, -84192, -216112, 55040, -57564, 31672, -75272, 52200, 3700, 236192, -156072, -59104, 124216, 720, 448896, -13128, 36192, -95056, 63920, -17424, -23896, -162992, 7236, 84920, 104632, -51072, 200280, 83424, -6960, -39368, -93400, 2952, -95360, 13000, -25320, -37208, 49480, -144504, -203880, 137976, -73800, 38752, -170256, -21240, 102092, -95296, -31728, -71120, -38360, -11016, 209380, -76176, -51696, 5840, 136336, -150000, -11708, 18792, 47700, 53840, 285840, 124080, -217848, 30960, 122136, 52272, 309416, 1728, -88720, 84704, 112344, 88608, -68600, 39240, 95328, 140640, -16416, -4456, 75440, 187176, -78968, -31328, 60900, 8000, -20576, -35208, 32480, 22912, -73080, 128224, -99736, -140496, -167968, -78880, 155376, -41392, 259512, 36240, 21120, -31136, 112632, -14736, -369680, 1080, -34960, 43312, 273432, 5936, -26600, 113016, 278856, -55528, -40824, 95040, 378520, -15312, 226632, -119440, -7980, 51432, 607760, 25272, 127620, 34960, -234408, -236760, 238632, -114288, -19480, -303000, 3888, 125248, -151560, 8400, 186752, -47864, -96576, -109992, -118800, -7848, 464, 218768, -126000, -49080, 26448, -115272, -165368, -176144, 19440, -37696, -82056, 36648, 235568, 28320, 37176, -170112, 515352, -13608, -1500], 'weight': 4, '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: 46563691
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 7, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797086073267, 'source_is_minimal': True, 'source_label': '435.4.a.i.1.2', 'source_level': 435, 'target_conrey_index': 1, 'target_dim': 7, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36028797086073267, 'target_is_minimal': True, 'target_label': '435.4.a.i.1.2', 'target_level': 435, 'twist_class_label': '435.4.a.i.1.2', 'twist_class_level': 435, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 46563692
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 7, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797086073267, 'source_is_minimal': True, 'source_label': '435.4.a.i.1.2', 'source_level': 435, 'target_conrey_index': 1, 'target_dim': 7, 'target_embedding_index': 6, 'target_hecke_orbit_code': 58546795222926617, 'target_is_minimal': False, 'target_label': '1305.4.a.n.1.6', 'target_level': 1305, 'twist_class_label': '435.4.a.i.1.2', 'twist_class_level': 435, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 46563693
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 7, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797086073267, 'source_is_minimal': True, 'source_label': '435.4.a.i.1.2', 'source_level': 435, 'target_conrey_index': 1, 'target_dim': 7, 'target_embedding_index': 6, 'target_hecke_orbit_code': 58546795222927487, 'target_is_minimal': False, 'target_label': '2175.4.a.n.1.6', 'target_level': 2175, 'twist_class_label': '435.4.a.i.1.2', 'twist_class_level': 435, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 883900
    {'charpoly_factorization': [[[166, -824, 227, 336, -55, -37, 2, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 2}
  • id: 883901
    {'charpoly_factorization': [[[3, 1], 7]], 'hecke_orbit_code': 36028797086073267, 'p': 3}
  • id: 883902
    {'charpoly_factorization': [[[-5, 1], 7]], 'hecke_orbit_code': 36028797086073267, 'p': 5}
  • id: 883903
    {'charpoly_factorization': [[[-512109952, 59798528, 8704480, -253180, -40428, -235, 50, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 7}
  • id: 883904
    {'charpoly_factorization': [[[340000992, 210603904, -19176192, -2729335, 265028, -2786, -76, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 11}
  • id: 883905
    {'charpoly_factorization': [[[-330782597664, -27029727888, -139319984, 27488712, 222758, -9949, -30, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 13}
  • id: 883906
    {'charpoly_factorization': [[[4628388110976, 400726077696, 8241827240, -41142212, -2531018, -12775, 140, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 17}
  • id: 883907
    {'charpoly_factorization': [[[-1327363884544, 452918371840, -22157295488, 155562352, 3100344, -29544, -90, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 19}
  • id: 883908
    {'charpoly_factorization': [[[-61779908096, -18165070336, -1309169504, 16005056, 1880672, -27647, -34, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 23}
  • id: 883909
    {'charpoly_factorization': [[[-29, 1], 7]], 'hecke_orbit_code': 36028797086073267, 'p': 29}
  • id: 883910
    {'charpoly_factorization': [[[206419680059392, 20866236854272, -304579132416, -1879914752, 26616736, 7920, -524, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 31}
  • id: 883911
    {'charpoly_factorization': [[[-20281650025090176, -422214162080256, 1027426722264, 20777443356, -11793910, -267199, 28, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 37}
  • id: 883912
    {'charpoly_factorization': [[[-5611527128727648, 282558489439824, -5590334843280, 56106005256, -310062918, 954213, -1532, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 41}
  • id: 883913
    {'charpoly_factorization': [[[-52660968178196736, 67841322069312, 10787743843824, 15821904300, -161970482, -317455, 464, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 43}
  • id: 883914
    {'charpoly_factorization': [[[-46388662418589696, -124147302878976, 4670169479520, 10828737436, -105932796, -282397, 360, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 47}
  • id: 883915
    {'charpoly_factorization': [[[-841643303313674208, -8334417833492960, -2701266305848, 126969105124, 92917148, -627307, -282, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 53}
  • id: 883916
    {'charpoly_factorization': [[[-508144973526724608, 7165406688371712, -22974563520000, -46846969344, 322371120, -237972, -766, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 59}
  • id: 883917
    {'charpoly_factorization': [[[-440434038857550336, 14337911688972544, -43440040769888, -106553609600, 469829656, -30916, -1200, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 61}
  • id: 883918
    {'charpoly_factorization': [[[-536366660971131776, 7822759769492480, 2079658303056, -235644696828, 515821896, 300249, -1546, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 67}
  • id: 883919
    {'charpoly_factorization': [[[-21132500702772498432, 155302197094795264, -199530992547840, -602270142448, 1370430232, 105664, -1802, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 71}
  • id: 883920
    {'charpoly_factorization': [[[8819237664949027968, -84051244371299328, 39355820300808, 616795946748, -311761938, -1525871, 220, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 73}
  • id: 883921
    {'charpoly_factorization': [[[49775412038617921536, -206772799913321472, -1095441338971008, 823654028736, 2771972496, -2049348, -1298, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 79}
  • id: 883922
    {'charpoly_factorization': [[[-111052108829745175168, 663771061541617024, -977970370117136, -935004417372, 3066850618, -1056223, -1652, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 83}
  • id: 883923
    {'charpoly_factorization': [[[-508870803590135617248, 2181621863740470384, -1433916668754096, -4086478748552, 5395824338, 304247, -2846, 1], 1]], 'hecke_orbit_code': 36028797086073267, 'p': 89}
  • id: 883924
    {'charpoly_factorization': [[[-22737574023748779296, 372950193349700448, -956861291837816, -449205396620, 3233053168, -2066147, -1110, 1], 1]], 'hecke_orbit_code': 36028797086073267, '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': 9, 'label': '435.4.a.i', 'level': 435, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 51576499
    {'hecke_orbit_code': 36028797086073267, 'n': 1, 'trace_an': 7}
  • id: 51576500
    {'hecke_orbit_code': 36028797086073267, 'n': 2, 'trace_an': -2}
  • id: 51576501
    {'hecke_orbit_code': 36028797086073267, 'n': 3, 'trace_an': -21}
  • id: 51576502
    {'hecke_orbit_code': 36028797086073267, 'n': 4, 'trace_an': 22}
  • id: 51576503
    {'hecke_orbit_code': 36028797086073267, 'n': 5, 'trace_an': 35}
  • id: 51576504
    {'hecke_orbit_code': 36028797086073267, 'n': 6, 'trace_an': 6}
  • id: 51576505
    {'hecke_orbit_code': 36028797086073267, 'n': 7, 'trace_an': -50}
  • id: 51576506
    {'hecke_orbit_code': 36028797086073267, 'n': 8, 'trace_an': -33}
  • id: 51576507
    {'hecke_orbit_code': 36028797086073267, 'n': 9, 'trace_an': 63}
  • id: 51576508
    {'hecke_orbit_code': 36028797086073267, 'n': 10, 'trace_an': -10}
  • id: 51576509
    {'hecke_orbit_code': 36028797086073267, 'n': 11, 'trace_an': 76}
  • id: 51576510
    {'hecke_orbit_code': 36028797086073267, 'n': 12, 'trace_an': -66}
  • id: 51576511
    {'hecke_orbit_code': 36028797086073267, 'n': 13, 'trace_an': 30}
  • id: 51576512
    {'hecke_orbit_code': 36028797086073267, 'n': 14, 'trace_an': 89}
  • id: 51576513
    {'hecke_orbit_code': 36028797086073267, 'n': 15, 'trace_an': -105}
  • id: 51576514
    {'hecke_orbit_code': 36028797086073267, 'n': 16, 'trace_an': 138}
  • id: 51576515
    {'hecke_orbit_code': 36028797086073267, 'n': 17, 'trace_an': -140}
  • id: 51576516
    {'hecke_orbit_code': 36028797086073267, 'n': 18, 'trace_an': -18}
  • id: 51576517
    {'hecke_orbit_code': 36028797086073267, 'n': 19, 'trace_an': 90}
  • id: 51576518
    {'hecke_orbit_code': 36028797086073267, 'n': 20, 'trace_an': 110}
  • id: 51576519
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  • id: 51576520
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  • id: 51576521
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  • id: 51576522
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  • id: 51576523
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  • id: 51576524
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  • id: 51576525
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  • id: 51576526
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  • id: 51576527
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  • id: 51576528
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  • id: 51576529
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  • id: 51576530
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  • id: 51576531
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  • id: 51576532
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  • id: 51576533
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  • id: 51576534
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  • id: 51576535
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  • id: 51576536
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  • id: 51576537
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  • id: 51576538
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  • id: 51576539
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  • id: 51576540
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  • id: 51576541
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  • id: 51576542
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  • id: 51576543
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  • id: 51576544
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  • id: 51576545
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  • id: 51576546
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  • id: 51576547
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  • id: 51576548
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  • id: 51576549
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  • id: 51576550
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  • id: 51576551
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  • id: 51576552
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  • id: 51576553
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  • id: 51576554
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  • id: 51576555
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  • id: 51576556
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  • id: 51576557
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  • id: 51576558
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  • id: 51576559
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  • id: 51576560
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  • id: 51576561
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  • id: 51576562
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  • id: 51576563
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  • id: 51576564
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  • id: 51576565
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  • id: 51576566
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  • id: 51576567
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  • id: 51576568
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  • id: 51576569
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  • id: 51576570
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  • id: 51576571
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  • id: 51576572
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  • id: 51576573
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  • id: 51576574
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  • id: 51576575
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  • id: 51576576
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  • id: 51576577
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  • id: 51576578
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  • id: 51576579
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  • id: 51576580
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  • id: 51576581
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  • id: 51576582
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  • id: 51576583
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  • id: 51576584
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  • id: 51576585
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  • id: 51576586
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  • id: 51576587
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  • id: 51576588
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  • id: 51576589
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  • id: 51576590
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  • id: 51576591
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  • id: 51576592
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  • id: 51576593
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  • id: 51576594
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  • id: 51576595
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  • id: 51576596
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  • id: 51576597
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  • id: 51576598
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  • id: 51576599
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  • id: 51576600
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  • id: 51576601
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  • id: 51576602
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  • id: 51576603
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  • id: 51576604
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  • id: 51576605
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  • id: 51576606
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  • id: 51576607
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  • id: 51576608
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  • id: 51576609
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  • id: 51576610
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  • id: 51576611
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  • id: 51576612
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  • id: 51576613
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  • id: 51576614
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  • id: 51576615
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  • id: 51576616
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  • id: 51576617
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  • id: 51576618
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  • id: 51576619
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  • id: 51576620
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  • id: 51576621
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  • id: 51576622
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  • id: 51576623
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  • id: 51576624
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  • id: 51576625
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  • id: 51576626
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  • id: 51576627
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  • id: 51576628
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  • id: 51576629
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  • id: 51576630
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  • id: 51576631
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  • id: 51576632
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  • id: 51576633
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  • id: 51576634
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  • id: 51576635
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  • id: 51576636
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  • id: 51576637
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  • id: 51576638
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  • id: 51576639
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  • id: 51576640
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  • id: 51576641
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  • id: 51576642
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  • id: 51576643
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  • id: 51576644
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  • id: 51576645
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  • id: 51576646
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  • id: 51576647
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  • id: 51576648
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  • id: 51576649
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  • id: 51576650
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  • id: 51576651
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  • id: 51576652
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  • id: 51576653
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  • id: 51576654
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  • id: 51576655
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  • id: 51576656
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  • id: 51576657
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  • id: 51576658
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  • id: 51576659
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  • id: 51576660
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  • id: 51576661
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  • id: 51576662
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  • id: 51576663
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  • id: 51576664
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  • id: 51576665
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  • id: 51576666
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  • id: 51576667
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  • id: 51576668
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  • id: 51576669
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  • id: 51576670
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  • id: 51576671
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  • id: 51576672
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  • id: 51576673
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  • id: 51576674
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  • id: 51576675
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  • id: 51576676
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  • id: 51576677
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  • id: 51576678
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  • id: 51576679
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  • id: 51576680
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  • id: 51576681
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  • id: 51576682
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  • id: 51576683
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  • id: 51576684
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  • id: 51576685
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  • id: 51576686
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  • id: 51576687
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  • id: 51576688
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  • id: 51576689
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  • id: 51576690
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  • id: 51576691
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  • id: 51576692
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  • id: 51576693
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  • id: 51576694
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  • id: 51576695
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  • id: 51576696
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  • id: 51576697
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  • id: 51576698
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  • id: 51576699
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  • id: 51576700
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  • id: 51576701
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  • id: 51576702
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  • id: 51576703
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  • id: 51576704
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  • id: 51576705
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  • id: 51576706
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  • id: 51576707
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  • id: 51576708
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  • id: 51576709
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  • id: 51576710
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  • id: 51576711
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  • id: 51576712
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  • id: 51576713
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  • id: 51576714
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  • id: 51576715
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  • id: 51576716
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  • id: 51576717
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  • id: 51576718
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  • id: 51576719
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  • id: 51576720
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  • id: 51576721
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  • id: 51576722
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  • id: 51576723
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  • id: 51576724
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  • id: 51576725
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  • id: 51576726
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  • id: 51576727
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  • id: 51576728
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  • id: 51576729
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  • id: 51576730
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  • id: 51576731
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  • id: 51576732
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  • id: 51576733
    {'hecke_orbit_code': 36028797086073267, 'n': 841, 'trace_an': 5887}
  • id: 51576734
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  • id: 51576735
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  • id: 51576736
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  • id: 51576737
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  • id: 51576738
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  • id: 51576739
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  • id: 51576740
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  • id: 51576741
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  • id: 51576742
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  • id: 51576743
    {'hecke_orbit_code': 36028797086073267, 'n': 911, 'trace_an': 64272}
  • id: 51576744
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  • id: 51576745
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  • id: 51576746
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  • id: 51576747
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  • id: 51576748
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  • id: 51576749
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  • id: 51576750
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  • id: 51576751
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  • id: 51576752
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  • id: 51576753
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  • id: 51576754
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  • id: 51576755
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  • id: 51576756
    {'hecke_orbit_code': 36028797086073267, 'n': 997, 'trace_an': 18256}