Embedded newform data - 315.8.a.q.1.3

Formats: - HTML - YAML - JSON - 2026-01-20T15:13:16.733116

• 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': 20160, 'analytic_conductor': 98.40128302749835, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, 1], [7, -1]], 'atkin_lehner_string': '++-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [315, 1, [281, 127, 136], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 8, 'field_disc': 1349070473613589033012571583113405153188192, 'field_disc_factorization': [[2, 5], [2389, 1], [2734572756572717, 1], [6453257968785365092987, 1]], 'field_poly': [146417544, -2181234, -18019982, -78223, 214693, 1124, -832, -3, 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, [126353088, 37596480, -16967768, -775100, 207798, 3875, -825, -5, 1]]], 'hecke_orbit': 17, 'hecke_orbit_code': 72057594172145979, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 10368, 'hecke_ring_index_factorization': [[2, 7], [3, 4]], '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': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '315.8.a.q', 'level': 315, '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, 5, 7], 'level_radical': 105, 'minimal_twist': '315.8.a.p', 'prim_orbit_index': 1, 'qexp_display': 'q+(1-\\beta _{1})q^{2}+(3^{4}+\\beta _{2})q^{4}-5^{3}q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '315.8.a', 'trace_display': [5, 0, -1000, 2744], 'trace_hash': 1234564931569229254, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.130', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '147.016', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4729.967', 'prec': 27}], 'trace_zratio': 0, 'traces': [8, 5, 0, 651, -1000, 0, 2744, -405, 0, -625, -1040, 0, -10412, 1715, 0, 23555, -33600, 0, 25508, -81375, 0, 27440, -110100, 0, 125000, -255890, 0, 223293, -348980, 0, 243684, -456065, 0, 200968, -343000, 0, 185216, -993110, 0, 50625, -700000, 0, 264684, -338760, 0, 92668, -47220, 0, 941192, 78125, 0, -2621774, -1582520, 0, 130000, -138915, 0, -429406, -1618120, 0, -1554236, -5213900, 0, -55953, 1301500, 0, -5215444, -3199720, 0, -214375, -5827000, 0, 18532, -52740, 0, -11979466, -356720, 0, -236880, -2944375, 0, -12362418, -7424160, 0, 4200000, 5147530, 0, 5080880, -10567360, 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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[-0.8725169780558765, 0.0], [0.10549467698254433, 0.0], [0.0, 0.0], [-0.38160333942173075, 0.0], [-0.617437733339294, 0.0], [0.0, 0.0], [0.35176413907294674, 0.0], [-0.29094364008484047, 0.0], [0.0, 0.0], [-0.024502955170159466, 0.0], [-1.0630488966717129, 0.0], [0.0, 0.0], [0.0446873139903842, 0.0], [-0.006659628393780698, 0.0], [0.0, 0.0], [1.8101431390814844, 0.0], [1.2349127759499674, 0.0], [0.0, 0.0], [-1.1428553353118711, 0.0], [-0.03997562111189376, 0.0], [0.0, 0.0], [-0.002650459631744793, 0.0], [-0.3256299730804264, 0.0], [0.0, 0.0], [-0.41668171214778793, 0.0], [-0.01803243780333443, 0.0], [0.0, 0.0], [1.2374545457638044, 0.0], [-1.3292213172185063, 0.0], [0.0, 0.0], [-0.9689929019642488, 0.0], [-0.06283073136540591, 0.0], [0.0, 0.0], [-0.6475586020374406, 0.0], [0.808059142370092, 0.0], [0.0, 0.0], [-0.02200628317651622, 0.0], [0.007014488393375378, 0.0], [0.0, 0.0], [0.07307695922517471, 0.0], [0.06337279269146964, 0.0], [0.0, 0.0], [0.6218719942452194, 0.0], 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-0.41488672723387826, -0.22500465143459275, -0.26889812279958664, -0.3761464224306253, -0.14013634100483524, -0.0789685677022246, -0.07898524420848536, -0.31271269436707017, -0.1940232405176679, -0.4107003613802298, -0.24857713869842413, -0.31049026851456674, -0.2416155331867294, -0.20624964488407374, -0.17996189536362606, -0.13800556338212336, -0.2811295448338105, -0.30293317003475323, -0.09994283767793366, -0.3757393019398837, -0.3034795666811632, -0.39017357638797406, -0.25996987457372744, -0.18323172402950688, -0.17826678652146938, -0.31896885680290044, -0.23664167407067607, -0.293434784215516, -0.20666389220683784, -0.39132963291036005, -0.1975415250676794, -0.4701194359480175, -0.22870310671635555, -0.24528719350283246, -0.2562065616102935, -0.34902104609602425, -0.24608379280117773, -0.1983015281443533, -0.3741082276620955, -0.2936976293021361, -0.09977163510353104, -0.4179236039552584, -0.3281117677597187, -0.34158070677259994, -0.3132642405267776, -0.18315798550912385, 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-0.21830382393685485, -0.3034025297824426, -0.2001973054759452, -0.26447349418497546, -0.18483195344707584, -0.12851285444177887, -0.21064092612210938, -0.24043844955450036, -0.24431710122254355, -0.23707650575723913, -0.12068002521891345, -0.2541387066390767, -0.32184833488126807, -0.3391903156571748, -0.3468051152222516, -0.2760286834598048, -0.3657012864296989, -0.18380464065576035, -0.28119174278626213, -0.3667916625059079, -0.24836429772725666, -0.18595414332758217, -0.26880457616174835, -0.309053174878042], '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': 12.362262350965796, 'hecke_orbit': 17, 'hecke_orbit_code': 72057594172145979, 'label': '315.8.a.q.1.3', 'level': 315, 'weight': 8}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [6, 8, 6, 8, 10, 11, 12, 9], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [2, 2, 2, 2, 2, 2, 2, 2], 'ALdims_old': [38, 32, 32, 34, 31, 30, 29, 32], 'Nk2': 20160, 'analytic_conductor': 98.40128302749835, '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': [315, 1, [281, 127, 136], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 328, 'dim': 70, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 134218043, 'hecke_orbit_dims': [1, 1, 2, 2, 3, 4, 4, 4, 4, 4, 4, 4, 5, 6, 6, 8, 8], 'label': '315.8.a', 'level': 315, '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, 5, 7], 'level_radical': 105, 'mf_dim': 344, 'mf_new_dim': 70, 'num_forms': 17, 'plus_dim': 37, 'prim_orbit_index': 1, 'relative_dim': 70, 'sturm_bound': 384, 'trace_bound': 2, 'trace_display': [-30, 0, 0, 686], 'traces': [70, -30, 0, 4714, 0, 0, 686, 906, 0, -6500, 5110, 0, -9572, -8918, 0, 308898, -62612, 0, 33720, 0, 0, -184700, -47624, 0, 1093750, -125404, 0, 107702, 131186, 0, -530052, 306778, 0, 1001784, -171500, 0, 495264, 100804, 0, -1365000, 2349068, 0, 2095844, -1647960, 0, -2073176, -3620, 0, 8235430, -468750, 0, 5834120, -2337772, 0, -811000, -1524978, 0, 2851352, -6506252, 0, -3382656, 22740672, 0, 13580954, -2150250, 0, 1684700, -17493108, 0, 686000, -672024, 0, 17383592, 872308, 0, -959548, 2304960, 0, -6066738, -15120000, 0, 1520820, -15755040, 0, 8672750, 47422128, 0, 662336, 26929096, 0, -11956294, 1016960, 0, 5191388, -27587500, 0, -33125748, -3529470, 0, 73656250, 54714192, 0, -6372748, -17918672, 0, 23842596, 6605724, 0, 271570, -14549500, 0, -3500658, -98059248, 0, 24249500, 109113948, 0, 48935036, 8439858, 0, -1169000, 184748312, 0, 36974280, 0, 0, 36839732, -30473390, 0, 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-8282062500, -50327628956, 0, 109192676384, -34408602888, 0, 51611602696, -37929896312, 0, 36341540802, -19699500, 0, 85964763884, -200294950532, 0, 47940719500, -3608442320, 0, 73563135504, 137141310716, 0, 8229345496, -26560422780, 0, -4654067258, 4793406250, 0, -252198175264, 26080041744, 0, 4489870000, 1478066880, 0, -260253755056, -67505848346, 0, -61051564588, 17014431308, 0, -165818960712, 30962957500, 0, -69718823584, -157954579460, 0, -14765041000, 6420993414, 0, 42508450108, 65289674512, 0, -34370401436, 10490361152, 0, 120782342268, -58110958500, 0, 191471232424, -7366239188, 0, -34329132750, 54114355088, 0, 83751675988, 37096954276, 0, 17426814428, 50807349208, 0, -27212302464, 37117361000, 0, -12370151626, -265294049700, 0, 15652875000, 12827455416, 0, 95345195536, -16759756552, 0, 14031131088, -40536280160, 0, -110474712048, -92686991000, 0, -4520629228, -37181999532, 0, -23791801250, -150434699716, 0, 39218556888, -67064001278, 0, 140207049804, -42141969252, 0, 1627541280, -2679687500, 0, 165486948268, 366047503920, 0, 23167713000, 27513569704, 0, 195040756112, 96087126328, 0, -53172020136, 119763034376, 0, -26873132132, -94563893000, 0, -185289907840, -72489969508, 0, 54554087000, 62792354870, 0, -295842589192, -38128579204, 0, 132856897356, -176573572176, 0, -154637984100, 52106245500, 0, 43867237096, -27292521372, 0, 19764003000, 80628542976, 0, -250451150224, 166223443036, 0, 310735946120, 4516154776, 0, 106328947590, 131969849000, 0, 64668434584, 33199067064, 0, 7738500000, 23058607952, 0, 231691483692, -39325652540, 0, 3967124280, 6450828908, 0, 31547467408, -27117282750, 0, -405215712660, -49446180280, 0, 81065402000, -242108303184, 0, -60477542984, -30787686932, 0, 223836730376, -39913502956, 0, -142231614644, 1575062500, 0, -109035195724, 9386447500, 0, -139941934000, 180179121872, 0, -26815136768, -20867410676, 0, 164206280630, -244975399976, 0, 448111326284, 59268656000, 0, 43954299620, 334001830330, 0, 81100605500, 31234681164, 0, 68843107424, -13822330480, 0, 279010897152, 52519730548, 0, 56200456288, 0, 0, -324595573852, 58534022244, 0, -25048369500, 111925575652, 0, -10486095288, -182692099248, 0, -47640315568, -50132085680, 0, -48141125648, 55159384500, 0, 92172386348, 80280841836, 0, -21328125000], 'weight': 8, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 48051710
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 72057594172145979, 'source_is_minimal': True, 'source_label': '315.8.a.q.1.3', 'source_level': 315, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 72057594172145979, 'target_is_minimal': True, 'target_label': '315.8.a.q.1.3', 'target_level': 315, 'twist_class_label': '315.8.a.p.1.6', 'twist_class_level': 315, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 48051711
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 72057594172145979, 'source_is_minimal': True, 'source_label': '315.8.a.q.1.3', 'source_level': 315, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 67553994544775483, 'target_is_minimal': True, 'target_label': '315.8.a.p.1.6', 'target_level': 315, 'twist_class_label': '315.8.a.p.1.6', 'twist_class_level': 315, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 695725
    {'charpoly_factorization': [[[126353088, 37596480, -16967768, -775100, 207798, 3875, -825, -5, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 2}
  • id: 695726
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 72057594172145979, 'p': 3}
  • id: 695727
    {'charpoly_factorization': [[[125, 1], 8]], 'hecke_orbit_code': 72057594172145979, 'p': 5}
  • id: 695728
    {'charpoly_factorization': [[[-343, 1], 8]], 'hecke_orbit_code': 72057594172145979, 'p': 7}
  • id: 695729
    {'charpoly_factorization': [[[554365967837236943280537600, 4832534618165167794339840, 8190381357654444154368, 5085988630898210880, 929219468983504, -194730627920, -66412216, 1040, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 11}
  • id: 695730
    {'charpoly_factorization': [[[-1904168134843798891218152518656, -3262310518302248088717676032, -696713980715745134605376, 214187295305866506944, 28464822959290608, -2870742916736, -309445164, 10412, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 13}
  • id: 695731
    {'charpoly_factorization': [[[38346849274369667445319052593152, -24902170207429938733163431680, -573435173539765366923200, 1698613467140845580160, -17319652252937616, -28344995831920, -802751172, 33600, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 17}
  • id: 695732
    {'charpoly_factorization': [[[94070382764574165764387163836876800, 3880420151025525991524514926080, -1404594205906855345489408896, -55002094957223575530432, 4266592569897060688, 111319716519648, -4511784480, -25508, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 19}
  • id: 695733
    {'charpoly_factorization': [[[3392926351417221488703802281645158400, 781737858334817103744018935992320, 62181343005158913005898710848, 1739580467685149159856960, -8336611234764154512, -958174695250720, -6244932756, 110100, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 23}
  • id: 695734
    {'charpoly_factorization': [[[785878913335429283801240356218784972800, 199002751204119029478075677854924800, 10885340346702104347250987892736, 41129316725894760532705280, -1985937008166365431552, -19815749948079040, -20645095612, 348980, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 29}
  • id: 695735
    {'charpoly_factorization': [[[2232064110516858740254142549705355086823424, 21967821878970547278073048041281808384, -211468122203721535545010036869120, -1653394800418214001960591360, 9074282070509784962656, 36031142834444352, -162812369028, -243684, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 31}
  • id: 695736
    {'charpoly_factorization': [[[-108706790949845666668813089253636984813635584, 1444252955326415726571945109505202192128, -3526230319371407060496768818912448, -21956424868111827030606276480, 84768386076934552915696, 108203458911360240, -529376080212, -185216, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 37}
  • id: 695737
    {'charpoly_factorization': [[[2199783448827298489533896674730977608344832, 143246342893186569011698151056202757120, 2098521160258327061817922750361088, -1840305375698004402390082560, -112175118361595257288160, -445117843509725120, -388341321216, 700000, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 41}
  • id: 695738
    {'charpoly_factorization': [[[11470382026323592561682479627587119293645471744, -2928037511454397178750783034952915451904, -177341562659954536631036754434909184, -14132057469458066828317704192, 868374140250977351806912, 194161079214710592, -1586648473836, -264684, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 43}
  • id: 695739
    {'charpoly_factorization': [[[-25053986387515066127381965666370943805201317888, 326845877763573558185207268879038700257280, -857370524792601371785697797034200064, -480172187546469016192254571520, 2878640790319992879352192, 13784369319329920, -3088556116156, 47220, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 47}
  • id: 695740
    {'charpoly_factorization': [[[34524541781498458760803967088724034432793028608, 527272718748801663174449058218120605386240, 2612609785649637449607797741309550976, 4704175006913777649843609228480, 732822336256964583440240, -5519188414247626480, -3133653937112, 1582520, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 53}
  • id: 695741
    {'charpoly_factorization': [[[-2965746925907054228814491153521934010280378368, 134452396692691807999336137908300116623360, -1095665686828354196447584439095156736, 1913390585110147804041097369600, 3491782646759234709460992, -6164479474626974080, -4521087720864, 1618120, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 59}
  • id: 695742
    {'charpoly_factorization': [[[6591541684904245221620724462806100799060295680000, -7369496248333710120525286228432452290944000, -29976320897507580477740598454619480000, 22856571026332932745068596140480, 33325164049202650220051696, -12626018731066077344, -11633010869444, 1554236, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 61}
  • id: 695743
    {'charpoly_factorization': [[[93741689026600649651809043969692660402607374336, 3645288280273080437561535023751707269242880, 3544936657764946428102289352786762752, -42319364788782040969533975187456, -101829661185457925128674112, -66728220474364604896, -5783510987324, 5215444, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 67}
  • id: 695744
    {'charpoly_factorization': [[[-2524567612746952045531092385837464925211761200565248, -2376818671087993567359680863182280881326568960, 988553189375205540896306222277415184448, 1296720075423899466412449791354880, 36853824695035799573398000, -169086312860790653440, -22628166402196, 5827000, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 71}
  • id: 695745
    {'charpoly_factorization': [[[-76476834262130560651116585949763601391566368285696, 144284686472836629635815407287324479454179840, 219009626714992680420332591188010457792, -450682695033745537470578506426176, 175254372058311912553876720, 38475278037346871616, -27611442014940, -18532, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 73}
  • id: 695746
    {'charpoly_factorization': [[[9193585816418959902864924235279277649855538983337984, 33848550336496721346415737533967027281167646720, -21471963246557510958742033790829529399296, -5601580602122062356249477850316800, 3316325739246408196561651712, 91112106745109032960, -107262343992032, 236880, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 79}
  • id: 695747
    {'charpoly_factorization': [[[11173734297768246625871558354343913231397057829273600, 20606062480782371110391671888286234851556720640, -13805054056049674207691139745621857665024, -3671892349132981518129294251909120, 3204029268116246425282745344, -281151315143998935680, -87133058400496, 7424160, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 83}
  • id: 695748
    {'charpoly_factorization': [[[-9904868514583518241304613933204485459312791123200768, -24124199150611108618291806921495027828743961600, 23899291526735718644107045090078521288192, 11153503130581432426907450870346240, -2022474985830732110622606560, -1169282690610443833280, -80131987110144, 10567360, 1], 1]], 'hecke_orbit_code': 72057594172145979, 'p': 89}
  • id: 695749
    {'charpoly_factorization': [[[519412710446920619662533232949422945961991118914023424, 493398222142483428013369594853186735319475700736, -307125951493976947454880841808731976098112, -65693586559687708337198082780363840, 12955633955672590034656733360, 1644856224956848636192, -192593616424028, -11406932, 1], 1]], 'hecke_orbit_code': 72057594172145979, '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': 17, 'label': '315.8.a.q', 'level': 315, 'portrait': 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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 62003569
    {'hecke_orbit_code': 72057594172145979, 'n': 1, 'trace_an': 8}
  • id: 62003570
    {'hecke_orbit_code': 72057594172145979, 'n': 2, 'trace_an': 5}
  • id: 62003571
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