Embedded newform data - 168.6.a.d.1.1

Formats: - HTML - YAML - JSON - 2025-12-07T22:12:05.266747

• 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': 6048, 'analytic_conductor': 26.944481728580747, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [7, -1]], 'atkin_lehner_string': '+--', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [168, 1, [127, 85, 113, 73], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [64, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510798982774952, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '168.6.a.d', 'level': 168, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '168.6.a.d', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+9q^{3}-2^{6}q^{5}+7^{2}q^{7}+3^{4}q^{9}-54q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '168.6.a', 'trace_display': [0, 9, -64, 49], 'trace_hash': 573361799906938827, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.001', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.017', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.087', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [1, 0, 9, 0, -64, 0, 49, 0, 81, 0, -54, 0, 738, 0, -576, 0, -848, 0, -1604, 0, 441, 0, -3670, 0, 971, 0, 729, 0, -4330, 0, -4760, 0, -486, 0, -3136, 0, -2094, 0, 6642, 0, -6116, 0, 7916, 0, -5184, 0, 6572, 0, 2401, 0, -7632, 0, -7894, 0, 3456, 0, -14436, 0, -41664, 0, -26570, 0, 3969, 0, -47232, 0, -41736, 0, -33030, 0, 83574, 0, -42314, 0, 8739, 0, -2646, 0, 508, 0, 6561, 0, -8364, 0, 54272, 0, -38970, 0, -49220, 0, 36162, 0, -42840, 0, 102656, 0, 159670, 0, -4374, 0, -67020, 0, 165768, 0, -28224, 0, 103146, 0, 60094, 0, -18846, 0, -126246, 0, 234880, 0, 59778, 0, -41552, 0, -158135, 0, -55044, 0, 137856, 0, 308636, 0, 71244, 0, -61012, 0, -78596, 0, -46656, 0, -317242, 0, -7236, 0, 59148, 0, -39852, 0, 277120, 0, 21609, 0, 126058, 0, 200296, 0, -68688, 0, 304640, 0, 510894, 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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'angles': [None, None, -0.3470002478004837, None, -0.2607159423434336, -0.146471570630937, -0.3079010321921269, -0.3351165341770284, -0.37868704574845663, -0.32932603822044326, -0.3233640667388795, -0.2700638113533959, -0.29584810277910184, -0.19707528278732175, -0.21518941766412875, -0.28091232088729623, -0.3921653165103205, -0.3255607764165592, -0.3461275392074303, -0.02870981812602507, -0.32691396230206715, -0.24927123478045604, -0.2606128207137578, -0.3034121063603348, -0.08475729863644785, -0.3029964478704717, -0.11017808326011191, -0.17829026378717755, -0.21105993634435205, -0.3269802634283328, -0.08860282300341515, -0.27481925960169556, -0.3783969172502505, -0.25252795858680976, -0.21264141682555115, -0.19182528581468522, -0.09499792120087812, -0.24502950440798593, -0.31043527269084453, -0.26862985136926487, -0.32784515965517813, -0.4294126260993595, -0.17194679539015803, -0.12840107490791605, -0.2826332921188181, -0.29825917592909956, -0.27177449622109895, -0.263412438781606, 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-0.1268524398218354, -0.09372070205383205, -0.3610874654416953, -0.39395551585825644, -0.3202428769842827, -0.1307306098991031, -0.31857212684279745, -0.19327437820609425, -0.24664768848796456, -0.1947631836508079, -0.3382924654224179, -0.22272060525239165, -0.31148277067715197, -0.2523776742592851, -0.1143697277429513, -0.3521309527236249, -0.34145543559197356, -0.19177902968553567, -0.23399499558589473, -0.1183104785051896, -0.1553246511595895, -0.29482460736402655, -0.3238065910380126, -0.2740437697288155, -0.3247327812510583, -0.29523144623893405, -0.14534206624458895, -0.4039871311563362], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 4, 'hecke_orbit_code': 13510798982774952, 'label': '168.6.a.d.1.1', 'level': 168, 'weight': 6}
• mf_newspaces •

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

  
  {'ALdims': [1, 2, 2, 1, 2, 2, 2, 2], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [2, 2, 2, 2, 2, 2, 2, 2], 'ALdims_old': [16, 18, 17, 19, 19, 16, 17, 16], 'Nk2': 6048, 'analytic_conductor': 26.944481728580747, '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': [168, 1, [127, 85, 113, 73], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 152, 'dim': 14, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 100663464, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 2, 2, 2, 2], 'label': '168.6.a', 'level': 168, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 168, 'mf_new_dim': 14, 'num_forms': 10, 'plus_dim': 6, 'prim_orbit_index': 1, 'relative_dim': 14, 'sturm_bound': 192, 'trace_bound': 5, 'trace_display': [0, 0, -196, 0], 'traces': [14, 0, 0, 0, -196, 0, 0, 0, 1134, 0, 0, 0, 764, 0, 0, 0, -1636, 0, 0, 0, -882, 0, -2152, 0, 3010, 0, 0, 0, 15796, 0, 3888, 0, 0, 0, 0, 0, -5516, 0, 11160, 0, 17484, 0, 16792, 0, -15876, 0, -6432, 0, 33614, 0, 37656, 0, 85492, 0, 69088, 0, -10440, 0, -112336, 0, -16916, 0, 0, 0, 15928, 0, -14776, 0, 0, 0, 98168, 0, 43340, 0, 0, 0, 0, 0, -191776, 0, 91854, 0, -54736, 0, 149096, 0, -218448, 0, -1348, 0, 126616, 0, 50544, 0, 323808, 0, 96268, 0, 0, 0, 268316, 0, -432160, 0, -44100, 0, -384496, 0, -328044, 0, -88272, 0, -524164, 0, -469616, 0, 61884, 0, 139160, 0, 636726, 0, 129096, 0, -356424, 0, 109200, 0, 242928, 0, -388208, 0, -335944, 0, 0, 0, -361428, 0, 116368, 0, 3312, 0, -464160, 0, -156152, 0, 0, 0, 119252, 0, -16112, 0, -132516, 0, -174016, 0, 1280316, 0, -349776, 0, 0, 0, 551800, 0, -851472, 0, 63632, 0, -1751230, 0, 0, 0, 1526588, 0, 0, 0, 427176, 0, 734608, 0, -1391220, 0, 315288, 0, 3704168, 0, 229824, 0, 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0, -7777176, 0, -3498570, 0, -9004608, 0, 5492088, 0, 4445232, 0, 1416204, 0, 673456, 0, 2415348, 0, 6259680, 0, 2266920, 0, 1376792, 0, -241056, 0, 3278032, 0, -1092112, 0, 1360152, 0, 1330020, 0, -1524304, 0, -1369080, 0, 6000960, 0, -2378116, 0, 0, 0, 2165276, 0, -6145568, 0, -1285956, 0, -16286112, 0, 485692, 0, 119952, 0, 2165800, 0, -1059872, 0, -618984, 0, 1114960, 0, -5117596, 0, -520992, 0, 7665796, 0, 2309272, 0, -5583168, 0, -16887816, 0, 1493996, 0, -1013184, 0, 6978144, 0, 11652480, 0, 2722734, 0, 22390208, 0, 19929416, 0, 4063248, 0, 7132828, 0, 27400576, 0, -2939328, 0, -11219824, 0, -721972, 0, 3050136, 0, 5551548, 0, -5069312, 0, 5469120, 0, -12630560, 0, -1789088, 0, -472536, 0, -4496064, 0, -19542720, 0, 6924852, 0, -4294912, 0, 13201064, 0, -356328, 0, 12026552, 0, -21040752, 0, 5458896, 0, -2976384, 0, 2511560, 0, 5596128, 0, 4916464, 0, 20654232, 0, -1584, 0, 12714800, 0, -7699256, 0, 1572192, 0, -23588004, 0, -5341392, 0, -845640, 0, 13292640, 0, -1021600, 0, -1412640, 0, -19837524, 0, -3622944, 0, 4552002, 0, -195904, 0, 29930382, 0, -9099216, 0, 12416440, 0, 16903296, 0, -9691344, 0, 0, 0, -7552236, 0, -19302696, 0, -7659672, 0, -31411880, 0, -1370196, 0, 17782336, 0, 595056, 0, -227520, 0, -6980860, 0, -19274000, 0, 4140720, 0, 43598192, 0, -2530184, 0, 0, 0, 1978380, 0, 3782472, 0, 25722288, 0, -1052216, 0, -34563716, 0, -668736, 0, 7453096, 0, -27137760, 0, 1290168, 0, 5198912, 0, 712256, 0, 350064, 0, -30138708, 0, 2402960, 0, -22656960, 0, -12786760, 0, -4905684, 0, -1196856, 0, -75624820, 0, 45720144, 0, 149940, 0, 10717760, 0, 15576484, 0, -18928656, 0, 67081356, 0, 43927360, 0, 0, 0, -13027336, 0, -17130266, 0, 24004512, 0, 10583592, 0, 9331664, 0, -17044416, 0, -69219488, 0, 1834364, 0, 7951608, 0, 8883036, 0, -6050608, 0, -12161376, 0, -5793424, 0, -32131296, 0, 9447984, 0, -31249292, 0, -49722784, 0, 3510540, 0, -62732816, 0, -41457092, 0, 20191680, 0, 20532176, 0, 77382256, 0, 19221552, 0, 8221152, 0, 10063724, 0, 0, 0, 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0, 19939104, 0, -3928036, 0, 103662368, 0, 4094064, 0, 163237104, 0, -81953022, 0, -26550288, 0, 24450404, 0, -14905408, 0, 29948760, 0, 104215856, 0, 24816012, 0, 26228448, 0, 29846476, 0, -61329984, 0, -25777332, 0, -124443240, 0, -16883768, 0, -38216160, 0, 83173536, 0, -44627504, 0, 7797708, 0, 49885920, 0, 18154868, 0, -56156688, 0, -94251700, 0, -77119528, 0, 3144816, 0, 47748240, 0, -23389856, 0, 0, 0, -80214784, 0, -84502720, 0, -44578656, 0, 14642464, 0, 36792488, 0, 6812568, 0, 52440920, 0, 42180904, 0, 21733596, 0, -10756648, 0, 143406208, 0, -37078704, 0, 22378888, 0, -72777792, 0, 251352, 0, 50791568, 0, -133692628, 0, -35004960, 0, 101673404, 0, 0, 0, -24123744, 0, 13565280, 0, 37065004, 0, 46813392, 0, 72783052, 0, 206945072, 0, -3572100, 0, -102623344, 0, 175640, 0, 10807920, 0, 15391372, 0, -92308752, 0, -10023264, 0, -47233648, 0, -8010546, 0, -31144176, 0, -161577960, 0, 77599040, 0, -32190192, 0, -233936096, 0, -32412520, 0, 40349736, 0, -45160388, 0, -116827968, 0, -26571564, 0, -104066048, 0, -57850776, 0, 50676192, 0, 58143392, 0, -26059408, 0, 105248880, 0, -95192032, 0, 82422620, 0, -7150032, 0], 'weight': 6, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 42949985
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798982774952, 'source_is_minimal': True, 'source_label': '168.6.a.d.1.1', 'source_level': 168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798982774952, 'target_is_minimal': True, 'target_label': '168.6.a.d.1.1', 'target_level': 168, 'twist_class_label': '168.6.a.d.1.1', 'twist_class_level': 168, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 42949986
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798982774952, 'source_is_minimal': True, 'source_label': '168.6.a.d.1.1', 'source_level': 168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197492257272, 'target_is_minimal': False, 'target_label': '504.6.a.h.1.1', 'target_level': 504, 'twist_class_label': '168.6.a.d.1.1', 'twist_class_level': 168, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 42949987
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798982774952, 'source_is_minimal': True, 'source_label': '168.6.a.d.1.1', 'source_level': 168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199355404624, 'target_is_minimal': False, 'target_label': '336.6.a.c.1.1', 'target_level': 336, 'twist_class_label': '168.6.a.d.1.1', 'twist_class_level': 168, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 42949988
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798982774952, 'source_is_minimal': True, 'source_label': '168.6.a.d.1.1', 'source_level': 168, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 112589990784926704, 'target_is_minimal': False, 'target_label': '1008.6.a.z.1.1', 'target_level': 1008, 'twist_class_label': '168.6.a.d.1.1', 'twist_class_level': 168, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 433575
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 2}
  • id: 433576
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 3}
  • id: 433577
    {'charpoly_factorization': [[[64, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 5}
  • id: 433578
    {'charpoly_factorization': [[[-49, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 7}
  • id: 433579
    {'charpoly_factorization': [[[54, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 11}
  • id: 433580
    {'charpoly_factorization': [[[-738, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 13}
  • id: 433581
    {'charpoly_factorization': [[[848, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 17}
  • id: 433582
    {'charpoly_factorization': [[[1604, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 19}
  • id: 433583
    {'charpoly_factorization': [[[3670, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 23}
  • id: 433584
    {'charpoly_factorization': [[[4330, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 29}
  • id: 433585
    {'charpoly_factorization': [[[4760, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 31}
  • id: 433586
    {'charpoly_factorization': [[[2094, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 37}
  • id: 433587
    {'charpoly_factorization': [[[6116, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 41}
  • id: 433588
    {'charpoly_factorization': [[[-7916, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 43}
  • id: 433589
    {'charpoly_factorization': [[[-6572, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 47}
  • id: 433590
    {'charpoly_factorization': [[[7894, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 53}
  • id: 433591
    {'charpoly_factorization': [[[41664, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 59}
  • id: 433592
    {'charpoly_factorization': [[[26570, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 61}
  • id: 433593
    {'charpoly_factorization': [[[41736, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 67}
  • id: 433594
    {'charpoly_factorization': [[[-83574, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 71}
  • id: 433595
    {'charpoly_factorization': [[[42314, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 73}
  • id: 433596
    {'charpoly_factorization': [[[-508, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 79}
  • id: 433597
    {'charpoly_factorization': [[[8364, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 83}
  • id: 433598
    {'charpoly_factorization': [[[49220, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 89}
  • id: 433599
    {'charpoly_factorization': [[[-159670, 1], 1]], 'hecke_orbit_code': 13510798982774952, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 4, 'label': '168.6.a.d', 'level': 168, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 35133643
    {'hecke_orbit_code': 13510798982774952, 'n': 1, 'trace_an': 1}
  • id: 35133644
    {'hecke_orbit_code': 13510798982774952, 'n': 2, 'trace_an': 0}
  • id: 35133645
    {'hecke_orbit_code': 13510798982774952, 'n': 3, 'trace_an': 9}
  • id: 35133646
    {'hecke_orbit_code': 13510798982774952, 'n': 4, 'trace_an': 0}
  • id: 35133647
    {'hecke_orbit_code': 13510798982774952, 'n': 5, 'trace_an': -64}
  • id: 35133648
    {'hecke_orbit_code': 13510798982774952, 'n': 6, 'trace_an': 0}
  • id: 35133649
    {'hecke_orbit_code': 13510798982774952, 'n': 7, 'trace_an': 49}
  • id: 35133650
    {'hecke_orbit_code': 13510798982774952, 'n': 8, 'trace_an': 0}
  • id: 35133651
    {'hecke_orbit_code': 13510798982774952, 'n': 9, 'trace_an': 81}
  • id: 35133652
    {'hecke_orbit_code': 13510798982774952, 'n': 10, 'trace_an': 0}
  • id: 35133653
    {'hecke_orbit_code': 13510798982774952, 'n': 11, 'trace_an': -54}
  • id: 35133654
    {'hecke_orbit_code': 13510798982774952, 'n': 12, 'trace_an': 0}
  • id: 35133655
    {'hecke_orbit_code': 13510798982774952, 'n': 13, 'trace_an': 738}
  • id: 35133656
    {'hecke_orbit_code': 13510798982774952, 'n': 14, 'trace_an': 0}
  • id: 35133657
    {'hecke_orbit_code': 13510798982774952, 'n': 15, 'trace_an': -576}
  • id: 35133658
    {'hecke_orbit_code': 13510798982774952, 'n': 16, 'trace_an': 0}
  • id: 35133659
    {'hecke_orbit_code': 13510798982774952, 'n': 17, 'trace_an': -848}
  • id: 35133660
    {'hecke_orbit_code': 13510798982774952, 'n': 18, 'trace_an': 0}
  • id: 35133661
    {'hecke_orbit_code': 13510798982774952, 'n': 19, 'trace_an': -1604}
  • id: 35133662
    {'hecke_orbit_code': 13510798982774952, 'n': 20, 'trace_an': 0}
  • id: 35133663
    {'hecke_orbit_code': 13510798982774952, 'n': 21, 'trace_an': 441}
  • id: 35133664
    {'hecke_orbit_code': 13510798982774952, 'n': 22, 'trace_an': 0}
  • id: 35133665
    {'hecke_orbit_code': 13510798982774952, 'n': 23, 'trace_an': -3670}
  • id: 35133666
    {'hecke_orbit_code': 13510798982774952, 'n': 24, 'trace_an': 0}
  • id: 35133667
    {'hecke_orbit_code': 13510798982774952, 'n': 25, 'trace_an': 971}
  • id: 35133668
    {'hecke_orbit_code': 13510798982774952, 'n': 26, 'trace_an': 0}
  • id: 35133669
    {'hecke_orbit_code': 13510798982774952, 'n': 27, 'trace_an': 729}
  • id: 35133670
    {'hecke_orbit_code': 13510798982774952, 'n': 28, 'trace_an': 0}
  • id: 35133671
    {'hecke_orbit_code': 13510798982774952, 'n': 29, 'trace_an': -4330}
  • id: 35133672
    {'hecke_orbit_code': 13510798982774952, 'n': 30, 'trace_an': 0}
  • id: 35133673
    {'hecke_orbit_code': 13510798982774952, 'n': 31, 'trace_an': -4760}
  • id: 35133674
    {'hecke_orbit_code': 13510798982774952, 'n': 32, 'trace_an': 0}
  • id: 35133675
    {'hecke_orbit_code': 13510798982774952, 'n': 33, 'trace_an': -486}
  • id: 35133676
    {'hecke_orbit_code': 13510798982774952, 'n': 34, 'trace_an': 0}
  • id: 35133677
    {'hecke_orbit_code': 13510798982774952, 'n': 35, 'trace_an': -3136}
  • id: 35133678
    {'hecke_orbit_code': 13510798982774952, 'n': 36, 'trace_an': 0}
  • id: 35133679
    {'hecke_orbit_code': 13510798982774952, 'n': 37, 'trace_an': -2094}
  • id: 35133680
    {'hecke_orbit_code': 13510798982774952, 'n': 38, 'trace_an': 0}
  • id: 35133681
    {'hecke_orbit_code': 13510798982774952, 'n': 39, 'trace_an': 6642}
  • id: 35133682
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  • id: 35133871
    {'hecke_orbit_code': 13510798982774952, 'n': 811, 'trace_an': 26178996}
  • id: 35133872
    {'hecke_orbit_code': 13510798982774952, 'n': 821, 'trace_an': 32120898}
  • id: 35133873
    {'hecke_orbit_code': 13510798982774952, 'n': 823, 'trace_an': -24975844}
  • id: 35133874
    {'hecke_orbit_code': 13510798982774952, 'n': 827, 'trace_an': -30922902}
  • id: 35133875
    {'hecke_orbit_code': 13510798982774952, 'n': 829, 'trace_an': -16904662}
  • id: 35133876
    {'hecke_orbit_code': 13510798982774952, 'n': 839, 'trace_an': 27778284}
  • id: 35133877
    {'hecke_orbit_code': 13510798982774952, 'n': 841, 'trace_an': -1762249}
  • id: 35133878
    {'hecke_orbit_code': 13510798982774952, 'n': 853, 'trace_an': -17750450}
  • id: 35133879
    {'hecke_orbit_code': 13510798982774952, 'n': 857, 'trace_an': 15003996}
  • id: 35133880
    {'hecke_orbit_code': 13510798982774952, 'n': 859, 'trace_an': 910972}
  • id: 35133881
    {'hecke_orbit_code': 13510798982774952, 'n': 863, 'trace_an': 14883722}
  • id: 35133882
    {'hecke_orbit_code': 13510798982774952, 'n': 877, 'trace_an': -23995138}
  • id: 35133883
    {'hecke_orbit_code': 13510798982774952, 'n': 881, 'trace_an': 7858792}
  • id: 35133884
    {'hecke_orbit_code': 13510798982774952, 'n': 883, 'trace_an': -17458580}
  • id: 35133885
    {'hecke_orbit_code': 13510798982774952, 'n': 887, 'trace_an': -700092}
  • id: 35133886
    {'hecke_orbit_code': 13510798982774952, 'n': 907, 'trace_an': 37297868}
  • id: 35133887
    {'hecke_orbit_code': 13510798982774952, 'n': 911, 'trace_an': -29987258}
  • id: 35133888
    {'hecke_orbit_code': 13510798982774952, 'n': 919, 'trace_an': -27831632}
  • id: 35133889
    {'hecke_orbit_code': 13510798982774952, 'n': 929, 'trace_an': 18819100}
  • id: 35133890
    {'hecke_orbit_code': 13510798982774952, 'n': 937, 'trace_an': 5396130}
  • id: 35133891
    {'hecke_orbit_code': 13510798982774952, 'n': 941, 'trace_an': 39994152}
  • id: 35133892
    {'hecke_orbit_code': 13510798982774952, 'n': 947, 'trace_an': 30931378}
  • id: 35133893
    {'hecke_orbit_code': 13510798982774952, 'n': 953, 'trace_an': -15584822}
  • id: 35133894
    {'hecke_orbit_code': 13510798982774952, 'n': 961, 'trace_an': -5971551}
  • id: 35133895
    {'hecke_orbit_code': 13510798982774952, 'n': 967, 'trace_an': -26013084}
  • id: 35133896
    {'hecke_orbit_code': 13510798982774952, 'n': 971, 'trace_an': -8843156}
  • id: 35133897
    {'hecke_orbit_code': 13510798982774952, 'n': 977, 'trace_an': -27000954}
  • id: 35133898
    {'hecke_orbit_code': 13510798982774952, 'n': 983, 'trace_an': -16989168}
  • id: 35133899
    {'hecke_orbit_code': 13510798982774952, 'n': 991, 'trace_an': 37792248}
  • id: 35133900
    {'hecke_orbit_code': 13510798982774952, 'n': 997, 'trace_an': -51692138}