Embedded newform data - 384.10.a.h.1.4

Formats: - HTML - YAML - JSON - 2024-04-29T03:24:36.779199

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 38400, 'analytic_conductor': 197.7737610869273, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -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': [384, 1, [127, 133, 257], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 4, 'field_disc': 828612379015680, 'field_disc_factorization': [[2, 9], [3, 1], [5, 1], [7, 1], [15413176693, 1]], 'field_poly': [18391464, -170336, -14124, 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, [1619372294400, 3403197440, -2525664, -1728, 1]], [7, [1474756197184144, 138919065824, -97858824, -4840, 1]]], 'hecke_orbit': 8, 'hecke_orbit_code': 31525197559366016, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 98304, 'hecke_ring_index_factorization': [[2, 15], [3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '384.10.a.h', 'level': 384, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '384.10.a.a', 'prim_orbit_index': 1, 'qexp_display': 'q+3^{4}q^{3}+(432+\\beta _{1})q^{5}+(1210+\\beta _{1}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '384.10.a', 'trace_display': [0, 324, 1728, 4840], 'trace_hash': 132658948678411919, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.103', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.712', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.128', 'prec': 17}, {'__RealLiteral__': 0, 'data': '37.575', 'prec': 20}, {'__RealLiteral__': 0, 'data': '12.485', 'prec': 20}, {'__RealLiteral__': 0, 'data': '593.493', 'prec': 24}], 'trace_zratio': 0, 'traces': [4, 0, 324, 0, 1728, 0, 4840, 0, 26244, 0, 15824, 0, 82440, 0, 139968, 0, 165912, 0, 539904, 0, 392040, 0, 729680, 0, 224812, 0, 2125764, 0, 1850864, 0, 3197960, 0, 1281744, 0, 8574912, 0, 4187992, 0, 6677640, 0, 227704, 0, 1600352, 0, 11337408, 0, 18053904, 0, 57728820, 0, 13438872, 0, 29418288, 0, 45906816, 0, 43732224, 0, 38300048, 0, -99764648, 0, 31755240, 0, 314120832, 0, -183717008, 0, 59104080, 0, 181868080, 0, 254539160, 0, 18209772, 0, -230564704, 0, 831578184, 0, 172186884, 0, -687923952, 0, 1041391104, 0, 149919984, 0, 627627272, 0, -1018147632, 0, 259034760, 0, 2167118208, 0, -889385880, 0, 103821264, 0, 2594826992, 0, 260451064, 0, 694567872, 0, -1986622032, 0, 3618335144, 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, -0.1372640142242011, -0.29857120306878265, -0.09741263189084458, -0.11505026647967702, -0.16688313939360624, -0.2464273944003882, -0.10693542524407268, -0.22618656232407672, -0.15578724863136909, -0.3197748410777837, -0.29865872952502764, -0.2503865514810324, -0.3592390682844738, -0.36479582304845554, -0.16580503670689103, -0.36057870394614555, -0.21806686072468526, -0.23601453432879047, -0.15073960845799578, -0.13163008856292355, -0.33055131585960035, -0.12588880296784602, -0.39396261776931796, -0.14360878168589686, -0.26414723649540545, -0.40671282833690653, -0.23559141514222642, -0.37326577095859753, -0.2748739955321933, -0.4229597918594537, -0.4136824357472018, -0.2890625198935337, -0.2237829470116872, -0.2525306557569636, -0.0701147527048544, -0.22323568634884497, -0.21057514598375598, -0.3469096627623232, -0.17246653985853072, -0.3344901143854831, -0.13116996323764804, -0.3598460639787094, -0.2935291235222831, -0.21054470416854928, -0.10085970385745621, 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-0.27521130675301053, -0.21208020828835164, -0.11197942360995757, -0.3416219256529359, -0.2003857648779274, -0.269429272497376, -0.31916668638442086, -0.2688791327334602, -0.3537961274155189, -0.13818447780023624, -0.26508619341732426, -0.09461261923598412, -0.3285067082351016, -0.32979438167483066, -0.1739779544625129, -0.3298288547595695, -0.17959827428560998, -0.2475653852043884, -0.24349292900428693, -0.3185947730657354, -0.2897009235531188, -0.2875557736189711, -0.09754549351661006, -0.3199237793464914, -0.3198868884285048, -0.132886433253353, -0.17178026121713538, -0.30725058905527014, -0.26440038998471665], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 0.0, 'embedding_root_real': 119.41826834394311, 'hecke_orbit': 8, 'hecke_orbit_code': 31525197559366016, 'label': '384.10.a.h.1.4', 'level': 384, 'weight': 10}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[2, -1], [3, -1]], 17, 4], [[[2, 1], [3, -1]], 19, 4], [[[2, -1], [3, 1]], 19, 4], [[[2, 1], [3, 1]], 17, 4]], 'ALdims': [17, 19, 19, 17], 'Nk2': 38400, 'analytic_conductor': 197.7737610869273, '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': [384, 1, [127, 133, 257], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 560, 'dim': 72, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7], 'hecke_orbit_code': 167772544, 'hecke_orbit_dims': [4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5], 'label': '384.10.a', 'level': 384, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 592, 'mf_new_dim': 72, 'num_forms': 16, 'plus_dim': 34, 'prim_orbit_index': 1, 'relative_dim': 72, 'sturm_bound': 640, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 'traces': 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0, 0, 0, -6712564009621248, 0, 0, 0, 0, 0, 0, 0, -88003624321713408, 0, 0, 0, 0, 0, 0, 0, -65466433121028688, 0, 0, 0, 0, 0, 0, 0, 22413627847617984, 0, 0, 0, 0, 0, 0, 0, 3869024358716496, 0, 0, 0, 0, 0, 0, 0, 55083275311201184, 0, 0, 0, 0, 0, 0, 0, 16118672917922784, 0, 0, 0, 0, 0, 0, 0, -97348555320716704, 0, 0, 0, 0, 0, 0, 0], 'weight': 10, '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: 46208289
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31525197559366016, 'source_is_minimal': True, 'source_label': '384.10.a.h.1.4', 'source_level': 384, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 31525197559366016, 'target_is_minimal': True, 'target_label': '384.10.a.h.1.4', 'target_level': 384, 'twist_class_label': '384.10.a.a.1.1', 'twist_class_level': 384, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 46208290
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31525197559366016, 'source_is_minimal': True, 'source_label': '384.10.a.h.1.4', 'source_level': 384, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 13510799049884032, 'target_is_minimal': True, 'target_label': '384.10.a.d.1.4', 'target_level': 384, 'twist_class_label': '384.10.a.a.1.1', 'twist_class_level': 384, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 46208291
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31525197559366016, 'source_is_minimal': True, 'source_label': '384.10.a.h.1.4', 'source_level': 384, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398677254528, 'target_is_minimal': True, 'target_label': '384.10.a.e.1.1', 'target_level': 384, 'twist_class_label': '384.10.a.a.1.1', 'twist_class_level': 384, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 46208292
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31525197559366016, 'source_is_minimal': True, 'source_label': '384.10.a.h.1.4', 'source_level': 384, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772544, 'target_is_minimal': True, 'target_label': '384.10.a.a.1.1', 'target_level': 384, 'twist_class_label': '384.10.a.a.1.1', 'twist_class_level': 384, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 809125
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 31525197559366016, 'p': 2}
  • id: 809126
    {'charpoly_factorization': [[[-81, 1], 4]], 'hecke_orbit_code': 31525197559366016, 'p': 3}
  • id: 809127
    {'charpoly_factorization': [[[1619372294400, 3403197440, -2525664, -1728, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 5}
  • id: 809128
    {'charpoly_factorization': [[[1474756197184144, 138919065824, -97858824, -4840, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 7}
  • id: 809129
    {'charpoly_factorization': [[[6858181745009404160, 1103792080640, -6159760416, -15824, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 11}
  • id: 809130
    {'charpoly_factorization': [[[-514638491031365616, -183723133968416, -9910153704, -82440, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 13}
  • id: 809131
    {'charpoly_factorization': [[[749867080200484312848, 1451814354814624, -71608865448, -165912, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 17}
  • id: 809132
    {'charpoly_factorization': [[[-2560507236001722986496, 111265942104473600, -412602051456, -539904, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 19}
  • id: 809133
    {'charpoly_factorization': [[[215020566522553095129344, 851951504698601216, -3334463529504, -729680, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 23}
  • id: 809134
    {'charpoly_factorization': [[[4790005811071384531903488, 3667397931699343872, -6132162551424, -1850864, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 29}
  • id: 809135
    {'charpoly_factorization': [[[-20270113814875811337121392, 63299272042313217888, -24992419229640, -3197960, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 31}
  • id: 809136
    {'charpoly_factorization': [[[253166192946306071194017040, -641991762492845953120, -203243447922216, -4187992, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 37}
  • id: 809137
    {'charpoly_factorization': [[[19774030041060549631206491664, -2246506995327140679648, -494045022312552, -227704, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 41}
  • id: 809138
    {'charpoly_factorization': [[[547760866036588983425581056, 4924264087683058126848, -970945230014976, -1600352, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 43}
  • id: 809139
    {'charpoly_factorization': [[[3058791201848122848348874496256, 29131356113687265684224, -3577671621321504, -18053904, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 47}
  • id: 809140
    {'charpoly_factorization': [[[-1064092534067892337212743654400, 216214554858248758786560, -4952579056155264, -29418288, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 53}
  • id: 809141
    {'charpoly_factorization': [[[116511484592015700557481282920704, 351636449202128711923456, -22171735492406688, -38300048, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 59}
  • id: 809142
    {'charpoly_factorization': [[[-15293568174641286367438870452976, -989375581532750075724896, -11706470425376808, 99764648, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 61}
  • id: 809143
    {'charpoly_factorization': [[[102519967312829800350635599667456, -1727473956002952419124992, -13843775367055776, 183717008, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 67}
  • id: 809144
    {'charpoly_factorization': [[[-15073771439148632662941903492864, 448346777695761487714560, 4165003675633632, -181868080, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 71}
  • id: 809145
    {'charpoly_factorization': [[[-135860293823852729826780225777392, 5754301231813949469897376, -26793790810227240, -254539160, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 73}
  • id: 809146
    {'charpoly_factorization': [[[-7047043949432484598717438582695024, 65848235444713106035990624, 61673089702752696, -831578184, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 79}
  • id: 809147
    {'charpoly_factorization': [[[-31961829076873745988413683892365056, -198124295769533743110468864, -178092834287762208, 687923952, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 83}
  • id: 809148
    {'charpoly_factorization': [[[3465520051599687055207345040093200, 13703608605635509451308000, -191915279205961704, -627627272, 1], 1]], 'hecke_orbit_code': 31525197559366016, 'p': 89}
  • id: 809149
    {'charpoly_factorization': [[[1211895314274740492885875711123530000, -1341067533933739572341476000, -2283188040832386600, 889385880, 1], 1]], 'hecke_orbit_code': 31525197559366016, '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': 8, 'label': '384.10.a.h', 'level': 384, 'portrait': 'data:image/png;base64,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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 192403000
    {'hecke_orbit_code': 31525197559366016, 'n': 1, 'trace_an': 4}
  • id: 192403001
    {'hecke_orbit_code': 31525197559366016, 'n': 2, 'trace_an': 0}
  • id: 192403002
    {'hecke_orbit_code': 31525197559366016, 'n': 3, 'trace_an': 324}
  • id: 192403003
    {'hecke_orbit_code': 31525197559366016, 'n': 4, 'trace_an': 0}
  • id: 192403004
    {'hecke_orbit_code': 31525197559366016, 'n': 5, 'trace_an': 1728}
  • id: 192403005
    {'hecke_orbit_code': 31525197559366016, 'n': 6, 'trace_an': 0}
  • id: 192403006
    {'hecke_orbit_code': 31525197559366016, 'n': 7, 'trace_an': 4840}
  • id: 192403007
    {'hecke_orbit_code': 31525197559366016, 'n': 8, 'trace_an': 0}
  • id: 192403008
    {'hecke_orbit_code': 31525197559366016, 'n': 9, 'trace_an': 26244}
  • id: 192403009
    {'hecke_orbit_code': 31525197559366016, 'n': 10, 'trace_an': 0}
  • id: 192403010
    {'hecke_orbit_code': 31525197559366016, 'n': 11, 'trace_an': 15824}
  • id: 192403011
    {'hecke_orbit_code': 31525197559366016, 'n': 12, 'trace_an': 0}
  • id: 192403012
    {'hecke_orbit_code': 31525197559366016, 'n': 13, 'trace_an': 82440}
  • id: 192403013
    {'hecke_orbit_code': 31525197559366016, 'n': 14, 'trace_an': 0}
  • id: 192403014
    {'hecke_orbit_code': 31525197559366016, 'n': 15, 'trace_an': 139968}
  • id: 192403015
    {'hecke_orbit_code': 31525197559366016, 'n': 16, 'trace_an': 0}
  • id: 192403016
    {'hecke_orbit_code': 31525197559366016, 'n': 17, 'trace_an': 165912}
  • id: 192403017
    {'hecke_orbit_code': 31525197559366016, 'n': 18, 'trace_an': 0}
  • id: 192403018
    {'hecke_orbit_code': 31525197559366016, 'n': 19, 'trace_an': 539904}
  • id: 192403019
    {'hecke_orbit_code': 31525197559366016, 'n': 20, 'trace_an': 0}
  • id: 192403020
    {'hecke_orbit_code': 31525197559366016, 'n': 21, 'trace_an': 392040}
  • id: 192403021
    {'hecke_orbit_code': 31525197559366016, 'n': 22, 'trace_an': 0}
  • id: 192403022
    {'hecke_orbit_code': 31525197559366016, 'n': 23, 'trace_an': 729680}
  • id: 192403023
    {'hecke_orbit_code': 31525197559366016, 'n': 24, 'trace_an': 0}
  • id: 192403024
    {'hecke_orbit_code': 31525197559366016, 'n': 25, 'trace_an': 224812}
  • id: 192403025
    {'hecke_orbit_code': 31525197559366016, 'n': 26, 'trace_an': 0}
  • id: 192403026
    {'hecke_orbit_code': 31525197559366016, 'n': 27, 'trace_an': 2125764}
  • id: 192403027
    {'hecke_orbit_code': 31525197559366016, 'n': 28, 'trace_an': 0}
  • id: 192403028
    {'hecke_orbit_code': 31525197559366016, 'n': 29, 'trace_an': 1850864}
  • id: 192403029
    {'hecke_orbit_code': 31525197559366016, 'n': 30, 'trace_an': 0}
  • id: 192403030
    {'hecke_orbit_code': 31525197559366016, 'n': 31, 'trace_an': 3197960}
  • id: 192403031
    {'hecke_orbit_code': 31525197559366016, 'n': 32, 'trace_an': 0}
  • id: 192403032
    {'hecke_orbit_code': 31525197559366016, 'n': 33, 'trace_an': 1281744}
  • id: 192403033
    {'hecke_orbit_code': 31525197559366016, 'n': 34, 'trace_an': 0}
  • id: 192403034
    {'hecke_orbit_code': 31525197559366016, 'n': 35, 'trace_an': 8574912}
  • id: 192403035
    {'hecke_orbit_code': 31525197559366016, 'n': 36, 'trace_an': 0}
  • id: 192403036
    {'hecke_orbit_code': 31525197559366016, 'n': 37, 'trace_an': 4187992}
  • id: 192403037
    {'hecke_orbit_code': 31525197559366016, 'n': 38, 'trace_an': 0}
  • id: 192403038
    {'hecke_orbit_code': 31525197559366016, 'n': 39, 'trace_an': 6677640}
  • id: 192403039
    {'hecke_orbit_code': 31525197559366016, 'n': 40, 'trace_an': 0}
  • id: 192403040
    {'hecke_orbit_code': 31525197559366016, 'n': 41, 'trace_an': 227704}
  • id: 192403041
    {'hecke_orbit_code': 31525197559366016, 'n': 42, 'trace_an': 0}
  • id: 192403042
    {'hecke_orbit_code': 31525197559366016, 'n': 43, 'trace_an': 1600352}
  • id: 192403043
    {'hecke_orbit_code': 31525197559366016, 'n': 44, 'trace_an': 0}
  • id: 192403044
    {'hecke_orbit_code': 31525197559366016, 'n': 45, 'trace_an': 11337408}
  • id: 192403045
    {'hecke_orbit_code': 31525197559366016, 'n': 46, 'trace_an': 0}
  • id: 192403046
    {'hecke_orbit_code': 31525197559366016, 'n': 47, 'trace_an': 18053904}
  • id: 192403047
    {'hecke_orbit_code': 31525197559366016, 'n': 48, 'trace_an': 0}
  • id: 192403048
    {'hecke_orbit_code': 31525197559366016, 'n': 49, 'trace_an': 57728820}
  • id: 192403049
    {'hecke_orbit_code': 31525197559366016, 'n': 50, 'trace_an': 0}
  • id: 192403050
    {'hecke_orbit_code': 31525197559366016, 'n': 51, 'trace_an': 13438872}
  • id: 192403051
    {'hecke_orbit_code': 31525197559366016, 'n': 52, 'trace_an': 0}
  • id: 192403052
    {'hecke_orbit_code': 31525197559366016, 'n': 53, 'trace_an': 29418288}
  • id: 192403053
    {'hecke_orbit_code': 31525197559366016, 'n': 54, 'trace_an': 0}
  • id: 192403054
    {'hecke_orbit_code': 31525197559366016, 'n': 55, 'trace_an': 45906816}
  • id: 192403055
    {'hecke_orbit_code': 31525197559366016, 'n': 56, 'trace_an': 0}
  • id: 192403056
    {'hecke_orbit_code': 31525197559366016, 'n': 57, 'trace_an': 43732224}
  • id: 192403057
    {'hecke_orbit_code': 31525197559366016, 'n': 58, 'trace_an': 0}
  • id: 192403058
    {'hecke_orbit_code': 31525197559366016, 'n': 59, 'trace_an': 38300048}
  • id: 192403059
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  • id: 192403064
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  • id: 192403066
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  • id: 192403070
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  • id: 192403072
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  • id: 192403074
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  • id: 192403160
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  • id: 192403164
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  • id: 192403166
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  • id: 192403168
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  • id: 192403169
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  • id: 192403170
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  • id: 192403172
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  • id: 192403184
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  • id: 192403188
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  • id: 192403192
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  • id: 192403216
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  • id: 192403220
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  • id: 192403255
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  • id: 192403256
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