Embedded newform data - 867.4.a.k.1.3

Formats: - HTML - YAML - JSON - 2025-03-26T19:56:23.650440

• 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': 13872, 'analytic_conductor': 51.15465597497711, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 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': [867, 1, [290, 292], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 5912, 'field_disc_factorization': [[2, 3], [739, 1]], 'field_poly': [-10, -14, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [34, -6, -5, 1]], [5, [-466, -59, 8, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45035996340814691, 'hecke_ring_generator_nbound': 2, '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': '867.4.a.k', 'level': 867, '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': [3, 17], 'level_radical': 51, 'minimal_twist': '51.4.a.e', 'nf_label': '3.3.5912.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(2-\\beta _{1})q^{2}-3q^{3}+(5-2\\beta _{1}+\\beta _{2})q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '867.4.a', 'trace_display': [5, -9, -8, 8], 'trace_hash': 966367124888930386, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.066', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.939', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '22.371', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '249.751', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [3, 5, -9, 13, -8, -15, 8, 33, 27, 38, -34, -39, 36, 104, 24, -79, 0, 45, -142, 126, -24, 248, -110, -99, -193, 154, -81, 472, -90, -114, 148, -151, 102, 0, 416, 117, -110, 80, -108, 202, -720, -312, -146, 192, -72, -748, 500, 237, 379, -385, 0, 1218, 610, -135, 430, 1368, 426, -1006, -216, -378, 18, 904, 72, 377, 966, -744, -1404, 0, 330, 1472, 960, 297, 794, 1874, 579, -392, 48, -462, 276, 1130, 243, -382, -1552, -1416, 0, 16, 270, -1724, 1394, 342, 3968, -2244, -444, 3960, 602, 453, -402, 4109, -306, -881, 1102, 0, -1270, 4766, -1248, 4486, 2918, -351, -1838, -1476, 330, 2488, -2692, -240, -1474, 2, 324, -932, 0, -606, 249, -2262, 2160, 856, 1470, 936, -5154, -2183, 438, 4920, -110, -576, -752, -2740, 216, 0, 1270, 2244, 600, 3472, 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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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-0.23429344619301423, -0.07192638559900241, None, -0.285936925116192, -0.36921109331574864, -0.24409565057779162, -0.22533364968637354, -0.21462970079703123, -0.2861538471613987, -0.39989425508677556, -0.07671144804627804, -0.14762167264330117, -0.24155565276495294, -0.2599487194731857, -0.3680110809518747, -0.10821252013785193, -0.1555758800451088, -0.3820552254961702, -0.25233682090098963, -0.2853311261348072, -0.35170439781584545, -0.19371326059807736, -0.32058903416330736, -0.08558525466976911, -0.29133995239544064, -0.24579789792918103, -0.24023343960346313, -0.3568541416655593, -0.19651614069887677, -0.2945157521327679, -0.2143050548195756, -0.26512412287886106, -0.22817321534866122, -0.3264279483983566, -0.12913275636286067, -0.28484992124192854, -0.316284972368385, -0.17613345151485538, -0.1985913302403818, -0.24234094568464004, -0.22998938114005324, -0.2431862123323986, -0.25696344927029985, -0.40567826401525586, -0.2410512226038868, -0.217734382023215, -0.3295558913199435, 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-0.20135808561116056, -0.29261419665927635, -0.18720540916236766, -0.12310685318031478, -0.017864486651055403, -0.1798322060339562, -0.29802057343832183, -0.1705982774482841, -0.2556021532218929, -0.051021462768304625, -0.3706093254003292, -0.35572244940355063, -0.3504048694339999, -0.2600367155260201, -0.2883879099991028, -0.2746885190009476, -0.31468771425111425, -0.1754664412736557, -0.2174568490121424, -0.19180074914590445, -0.11383058401363025, -0.16311635312334807, -0.38423024153283525, -0.2870524564391207, -0.16078577419216306], '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': -2.759848588114653, 'hecke_orbit': 11, 'hecke_orbit_code': 45035996340814691, 'label': '867.4.a.k.1.3', 'level': 867, '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': [35, 33, 29, 39], 'Nk2': 13872, 'analytic_conductor': 51.15465597497711, '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': [867, 1, [290, 292], [1, 1]], 'conrey_index': 1, 'cusp_dim': 288, 'dim': 136, 'eis_dim': 36, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 5], 'hecke_orbit_code': 67109731, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 3, 4, 4, 4, 4, 8, 8, 9, 9, 15, 15, 20, 20], 'label': '867.4.a', 'level': 867, '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': [3, 17], 'level_radical': 51, 'mf_dim': 324, 'mf_new_dim': 136, 'num_forms': 23, 'plus_dim': 74, 'prim_orbit_index': 1, 'relative_dim': 136, 'sturm_bound': 408, 'trace_bound': 3, 'trace_display': [-4, 0, 0, -8], 'traces': [136, -4, 0, 564, 0, -12, -8, -48, 1224, -100, -16, 0, -28, 288, 84, 2348, 0, -36, 192, -32, 84, 284, 0, -144, 3020, 204, 0, 720, -432, 408, 48, 312, 36, 0, -232, 5076, -192, 932, 24, -176, -1440, -252, 600, -1056, 0, -820, 80, 96, 6720, -160, 0, -688, 744, -108, -40, 1056, -312, -400, -216, 204, -64, 248, -72, 11552, 656, 1032, 1656, 0, -240, -12, 2128, -432, 1048, 96, 1104, 532, 1096, -1620, -1768, 1968, 11016, 1076, -3416, 624, 0, -124, 516, 184, 384, -900, 600, 352, 1836, -4492, 3024, 936, -3160, -3056, -144, 16288, -1048, 0, 2956, -3028, -1296, -268, 2400, 0, 2280, -744, -240, 1152, -4064, -2196, -1776, -5152, -252, -2412, 0, 2280, 16332, 2336, -2400, -7488, -864, 2592, 6380, 924, 1344, 6876, 9120, 768, -4840, 1512, 756, 0, 0, -2784, -40, 9340, -2616, 4896, -752, 21132, 856, 4088, 1248, 1048, -3816, 4104, -860, 2976, 0, -1112, -4632, -4680, -9596, -1320, -4152, 9384, 5096, -324, -5328, -5824, -7968, 952, 2800, 7764, 22804, 0, 1728, 6168, 1360, -8256, 288, 8400, 4320, -7592, 4928, -288, 1216, 17232, 4656, -872, -18288, 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51696, 3216, 15120, -92124, 720, 0, -40952, 8388, -2704, 48996, -8184, 13148, -16016, 3300, 19132, 25536, 216, -22496, -35120, 13344, 18400, -5744, 0, 28772, -22552, -1584, 45700, 19560, -4032, 42752, -10352, -22860, -24984, -19536, -12960, -38468, -12384, 30120, 8916, 0, 23544, 1060, 14752, -2268, -30248, 18096, 14544, 23668, -14096, 2184, 45576, 48936, 5400, -17192, -29088, 19224, 0, -17452, -16572, 6060, 44520, -9504, 1240, -10912, 36564, 72608, 35136, 8232, 3520, -31756, 0, 12708, 8320, 0, 18240, -13732, -16536, -16744, 32064, -7380, 15680, 39168, -2892, -3996, -41344, -40680, -6188, -44632, 720, 26584, 0, 34704, 21764, 25392, -23856, -11756, 24912, 864, 45376, 30780, -4992, -16760, 30432, 10392, -9616, -59060, 60480, 0, -55208, 2544, -33080, 54876, -25032, -36896, 7920, -1440, -41848, 29696, 30672, -14028, -34632, 10800, 47136, 16172, 0, 27492, -920, -5760, -17396, 32256, -11640, 17252, 2560, -6192, 8976, -31432, -23328, -12588, 19152, 4728, -26416, 0, 6696, -3808, 20752, -57792, -8664, 19632, 20952, 82648, 96648, -972, 4856, 42160, 75012, 34796, 13696, 20820, 0, 10324, -360, 36096, -1672, -720, -9488, -71168, -9384, -15624, -44080, 9504, -25008, -299832, -18624, -253820, 17424, 0, -152, -251104, -2808, 92116, 26928, 3648, -9344, -270024, 228, -7448, -10768, -3600, 142932, -22480, 5988, -196244, 0, -10380, 93280, 30936, -1944, -30048, 2464, 30288, -15736, -200604, 15360, -32956, 59344, 1836, 3584, -82384, -1200, 0, 113680, 39720, -9160, -160764, -576, -37728, -24720, -18048, 75064, 15960, 41592, -45184, -39224, 2232, 152244, -69172, 0, -206544, 30032, 3048, -29808, 600, -648, 4688, -26072, -32352, -15488, -16784, -23040, 36864, 74832, 103968, 6424, 0, 4752, -1264, -16512, -30084, 14496, 22480, 5904, -15300, -24536, -50880, 32960, -19864, 20988, 15912, -25344, 9288, 0, -112756, 88884, -83916, 29296, 4968, 14760, -107520, 14904, -41148, 5840, -27816, -3672, 28588, -11304, 17244, 3664, 0, 182316, 29176, -10824, -135964, 4512, -828, -29624, -46400, -2160, -25616, 16032, -12408, 119840, -91808, 25104, -55564, 0, -108, 17172, -68304, 9564, -6448, -12112, -20664, 9604, -3356, 19152, 4504, -464, 15576, 12608, 49348, -38976, 0, -25288, -3888, -51896, 282612, -28272, -72784, 52640, -3888, 14368, 48240, 9432, 84432, 26864, 27264, -34012, -56400, 0, -584, -27032, 864, 67784, 91392, -1704, 23312, -34648, -5292, 37704, 22600, 9936, 7980, 25392, 600, 145308, 0, 6204, 53820, 72096, 4788, 37400, 18624, -26880, 85136, 219728, -28644, 40976, -15216, 9864, 61952, 70648, 21312, 0, -28552, -2808, 45760, -92232, -14580, 22088, 4560, 9576, 43720, -36912, -5016, -63032, 89884, -15912, -37084, 61336, 0, 56000, 116216, -33000, -62124, -75792, 17712, 7016, 10840, 118596, -19608, -44688, 12672, -49212, 21456, 99144, 284888, 0, -12576, -72892, 11280, 65076, -31008, 19568, 9684, 10232, -52036, 48192, -10224, 45072, -3528, -76296, 121868, -30744, 0, -25592, -4296, 8384, 6060, 38040, 106840, 3360, 5616, 33756, -27744, -30864, 63912, -85024, 38292, -2504, -57164, 0, -43220, 16792, 35904, 127888, -17664, -1080, 48440, 360808, -1116, -32544, 15664, -6888, 160732, 2208, -32388, 20784, 0, 4644, 73012, 53568, -9168, -20368, -81200, -20688, 31768, -97376, 1656, -29064, -35648, -45120, 9952, -32152, 23796, 0, 65872, 3456, 58884, -118144, 16296, -135880, 58904, 28860, -21004, 31776, -8100, -7664, 218436, -51120, -20368, 106584, 0, 162344, 237524, 5400, 51412, -139520, 48984, -10072, 84008, 65316, 71184, -20688, 3168, 26084, -79928, -30624, 98144, 0, -28428, 30368, -77712, 16524, 10960, -1584, -2376, 154372, 91040, 25560, -61168, -36176, -40428, -109328, 358084, -35532, 0, 91880, 24144, 1616, -43848, 27216, 121320, 150048, -1512, 49400, 11856, -11232, -10512, 108576, 8424, 392512, 41192, 0, -338188, 24312, 69288, -190608, -53984, -28440, -12892, 90712, -324408, 82144, 205776, 57960, -8016, 79888, -27504, -471624, 0, -2976, 274044, 15008, 24864, 89768, -75056, -1296, -218700, -12848, -5592, -92240, -202080, -20088, 36976, -18216, 146592, 0, 108344, -344424, 40432, -134256, -13488, 94696, 109584, -9432, -165172, -93872, -35736, 125408, 444668, -111576, -302216, 151552, 0, 140800, -56428, 2832, 99920, 100688, 38448, -120792, 450124, 26604, -42424, -14080, 148752, -290168, -85072, -82200, -18180, 0, -27252, 25728, -212976, 84144, -4848, 43248, -18924, 101720, 41888, -11664, -40356, -89520, -256584, 31136, 170500, -63324, 0, 114320, -2412, 67112, 13784, 84864, -90948, 104688, -39360, 124920, 46000, 21600, 16856, 560368, 104832, -255268, 421672, 0, -78880, 117280, 0, 233464, -86744, 19416, 28888, -44712, -46356, 54248, 183728, 20520, 21144, 127056, -69264, -53384, 0, -11544, -154204, 6528, -6696, 7520, -40832, -60192, -211592, -213032, 5736, 73488, -232456, -2160, 4840], '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: 47134132
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 45035996340814691, 'source_is_minimal': False, 'source_label': '867.4.a.k.1.3', 'source_level': 867, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 45035996340814691, 'target_is_minimal': False, 'target_label': '867.4.a.k.1.3', 'target_level': 867, 'twist_class_label': '51.4.a.e.1.3', 'twist_class_level': 51, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 47134133
    {'conductor': 17, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 45035996340814691, 'source_is_minimal': False, 'source_label': '867.4.a.k.1.3', 'source_level': 867, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18014398576590899, 'target_is_minimal': True, 'target_label': '51.4.a.e.1.3', 'target_level': 51, 'twist_class_label': '51.4.a.e.1.3', 'twist_class_level': 51, 'twisting_char_label': '17.16', 'twisting_conrey_index': 16, 'weight': 4}
  • id: 47134134
    {'conductor': 51, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 45035996340814691, 'source_is_minimal': False, 'source_label': '867.4.a.k.1.3', 'source_level': 867, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998203961497, 'target_is_minimal': False, 'target_label': '153.4.a.f.1.1', 'target_level': 153, 'twist_class_label': '51.4.a.e.1.3', 'twist_class_level': 51, 'twisting_char_label': '51.50', 'twisting_conrey_index': 50, 'weight': 4}
  • id: 47134135
    {'conductor': 68, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 45035996340814691, 'source_is_minimal': False, 'source_label': '867.4.a.k.1.3', 'source_level': 867, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 81064793359778608, 'target_is_minimal': False, 'target_label': '816.4.a.s.1.1', 'target_level': 816, 'twist_class_label': '51.4.a.e.1.3', 'twist_class_level': 51, 'twisting_char_label': '68.67', 'twisting_conrey_index': 67, 'weight': 4}
  • id: 47134136
    {'conductor': 85, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 45035996340814691, 'source_is_minimal': False, 'source_label': '867.4.a.k.1.3', 'source_level': 867, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 72057594105038075, 'target_is_minimal': False, 'target_label': '1275.4.a.q.1.1', 'target_level': 1275, 'twist_class_label': '51.4.a.e.1.3', 'twist_class_level': 51, 'twisting_char_label': '85.84', 'twisting_conrey_index': 84, 'weight': 4}
  • id: 47134137
    {'conductor': 119, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 45035996340814691, 'source_is_minimal': False, 'source_label': '867.4.a.k.1.3', 'source_level': 867, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 58546795222927811, 'target_is_minimal': False, 'target_label': '2499.4.a.n.1.3', 'target_level': 2499, 'twist_class_label': '51.4.a.e.1.3', 'twist_class_level': 51, 'twisting_char_label': '119.118', 'twisting_conrey_index': 118, 'weight': 4}
  • id: 47134138
    {'conductor': 204, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 45035996340814691, 'source_is_minimal': False, 'source_label': '867.4.a.k.1.3', 'source_level': 867, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 130604389260855696, 'target_is_minimal': False, 'target_label': '2448.4.a.bd.1.3', 'target_level': 2448, 'twist_class_label': '51.4.a.e.1.3', 'twist_class_level': 51, 'twisting_char_label': '204.203', 'twisting_conrey_index': 203, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1427875
    {'charpoly_factorization': [[[34, -6, -5, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 2}
  • id: 1427876
    {'charpoly_factorization': [[[3, 1], 3]], 'hecke_orbit_code': 45035996340814691, 'p': 3}
  • id: 1427877
    {'charpoly_factorization': [[[-466, -59, 8, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 5}
  • id: 1427878
    {'charpoly_factorization': [[[-2304, -672, -8, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 7}
  • id: 1427879
    {'charpoly_factorization': [[[8964, -1543, 34, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 11}
  • id: 1427880
    {'charpoly_factorization': [[[122698, -5531, -36, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 13}
  • id: 1427881
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 45035996340814691, 'p': 17}
  • id: 1427882
    {'charpoly_factorization': [[[8244, 4113, 142, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 19}
  • id: 1427883
    {'charpoly_factorization': [[[53240, -5687, 110, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 23}
  • id: 1427884
    {'charpoly_factorization': [[[415320, -37028, 90, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 29}
  • id: 1427885
    {'charpoly_factorization': [[[640448, -6972, -148, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 31}
  • id: 1427886
    {'charpoly_factorization': [[[5969792, -80928, 110, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 37}
  • id: 1427887
    {'charpoly_factorization': [[[10440042, 159445, 720, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 41}
  • id: 1427888
    {'charpoly_factorization': [[[-62624916, -278703, 146, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 43}
  • id: 1427889
    {'charpoly_factorization': [[[30472896, -93916, -500, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 47}
  • id: 1427890
    {'charpoly_factorization': [[[80447688, -105700, -610, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 53}
  • id: 1427891
    {'charpoly_factorization': [[[1302384, -39788, 216, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 59}
  • id: 1427892
    {'charpoly_factorization': [[[-8127200, -141152, -18, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 61}
  • id: 1427893
    {'charpoly_factorization': [[[62069312, 575088, 1404, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 67}
  • id: 1427894
    {'charpoly_factorization': [[[227624576, -217136, -960, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 71}
  • id: 1427895
    {'charpoly_factorization': [[[227482344, -258820, -794, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 73}
  • id: 1427896
    {'charpoly_factorization': [[[220814208, -1146204, -276, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 79}
  • id: 1427897
    {'charpoly_factorization': [[[11261392, 541140, 1552, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 83}
  • id: 1427898
    {'charpoly_factorization': [[[278458912, 101056, -1394, 1], 1]], 'hecke_orbit_code': 45035996340814691, 'p': 89}
  • id: 1427899
    {'charpoly_factorization': [[[-2026068032, -2618432, 402, 1], 1]], 'hecke_orbit_code': 45035996340814691, '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': 11, 'label': '867.4.a.k', 'level': 867, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 55179469
    {'hecke_orbit_code': 45035996340814691, 'n': 1, 'trace_an': 3}
  • id: 55179470
    {'hecke_orbit_code': 45035996340814691, 'n': 2, 'trace_an': 5}
  • id: 55179471
    {'hecke_orbit_code': 45035996340814691, 'n': 3, 'trace_an': -9}
  • id: 55179472
    {'hecke_orbit_code': 45035996340814691, 'n': 4, 'trace_an': 13}
  • id: 55179473
    {'hecke_orbit_code': 45035996340814691, 'n': 5, 'trace_an': -8}
  • id: 55179474
    {'hecke_orbit_code': 45035996340814691, 'n': 6, 'trace_an': -15}
  • id: 55179475
    {'hecke_orbit_code': 45035996340814691, 'n': 7, 'trace_an': 8}
  • id: 55179476
    {'hecke_orbit_code': 45035996340814691, 'n': 8, 'trace_an': 33}
  • id: 55179477
    {'hecke_orbit_code': 45035996340814691, 'n': 9, 'trace_an': 27}
  • id: 55179478
    {'hecke_orbit_code': 45035996340814691, 'n': 10, 'trace_an': 38}
  • id: 55179479
    {'hecke_orbit_code': 45035996340814691, 'n': 11, 'trace_an': -34}
  • id: 55179480
    {'hecke_orbit_code': 45035996340814691, 'n': 12, 'trace_an': -39}
  • id: 55179481
    {'hecke_orbit_code': 45035996340814691, 'n': 13, 'trace_an': 36}
  • id: 55179482
    {'hecke_orbit_code': 45035996340814691, 'n': 14, 'trace_an': 104}
  • id: 55179483
    {'hecke_orbit_code': 45035996340814691, 'n': 15, 'trace_an': 24}
  • id: 55179484
    {'hecke_orbit_code': 45035996340814691, 'n': 16, 'trace_an': -79}
  • id: 55179485
    {'hecke_orbit_code': 45035996340814691, 'n': 17, 'trace_an': 0}
  • id: 55179486
    {'hecke_orbit_code': 45035996340814691, 'n': 18, 'trace_an': 45}
  • id: 55179487
    {'hecke_orbit_code': 45035996340814691, 'n': 19, 'trace_an': -142}
  • id: 55179488
    {'hecke_orbit_code': 45035996340814691, 'n': 20, 'trace_an': 126}
  • id: 55179489
    {'hecke_orbit_code': 45035996340814691, 'n': 21, 'trace_an': -24}
  • id: 55179490
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  • id: 55179690
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  • id: 55179691
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  • id: 55179696
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  • id: 55179697
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  • id: 55179698
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  • id: 55179699
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  • id: 55179700
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  • id: 55179701
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  • id: 55179702
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  • id: 55179703
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  • id: 55179704
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  • id: 55179705
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  • id: 55179706
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  • id: 55179707
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  • id: 55179708
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  • id: 55179709
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  • id: 55179710
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  • id: 55179711
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  • id: 55179712
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  • id: 55179713
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  • id: 55179714
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  • id: 55179715
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  • id: 55179716
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  • id: 55179717
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  • id: 55179718
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  • id: 55179719
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  • id: 55179720
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  • id: 55179721
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  • id: 55179722
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  • id: 55179723
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  • id: 55179724
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  • id: 55179725
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  • id: 55179726
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