Embedded newform data - 384.10.a.f.1.1

Formats: - HTML - YAML - JSON - 2024-04-27T12:30:56.065067

• 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': 1, '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': 48722565868032, 'field_disc_factorization': [[2, 9], [3, 1], [7, 1], [29, 1], [179, 1], [872951, 1]], 'field_poly': [561570, -13768, -2070, 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, [-217486924800, -2588500480, -6873216, 240, 1]], [7, [107350205672080, -39372619552, -73699080, -4840, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22517998304625024, '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.f', '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.b', 'prim_orbit_index': 1, 'qexp_display': 'q+3^{4}q^{3}+(-60-\\beta _{2})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, -240, 4840], 'trace_hash': 2045358095915148390, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.874', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.052', 'prec': 17}, {'__RealLiteral__': 0, 'data': '42.925', 'prec': 20}, {'__RealLiteral__': 0, 'data': '12.025', 'prec': 20}, {'__RealLiteral__': 0, 'data': '756.976', 'prec': 24}], 'trace_zratio': 0, 'traces': [4, 0, 324, 0, -240, 0, 4840, 0, 26244, 0, -99664, 0, -60840, 0, -19440, 0, -434952, 0, 631776, 0, 392040, 0, 749392, 0, 5991532, 0, 2125764, 0, -7908544, 0, 11351240, 0, -8072784, 0, -25567008, 0, -13592920, 0, -4928040, 0, -18838888, 0, 14177920, 0, -1574640, 0, -37779120, 0, 9409332, 0, -35231112, 0, 115336512, 0, -184580544, 0, 51173856, 0, -115028080, 0, 173228648, 0, 31755240, 0, -328077984, 0, -231785104, 0, 60700752, 0, 197476208, 0, 44629400, 0, 485314092, 0, -308117920, 0, -355774584, 0, 172186884, 0, -607613328, 0, 1087351392, 0, -640592064, 0, -1157146424, 0, -847629840, 0, 919450440, 0, -329699328, 0, -1599536472, 0, -653895504, 0, -108448960, 0, 681021688, 0, -2070927648, 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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-0.28097073907377457, -0.311856125359273, -0.25588613702038104, -0.23575613757873579, -0.06132260751215108, -0.2789726472931299, -0.15712575014391733, -0.38904883725024414, -0.14815247416765154, -0.08617089242880759, -0.2765185825000799, -0.2252895137560434, -0.28558059680609815, -0.38361574310540303, -0.38888287721939147, -0.1990626620341368, -0.21382394197440643, -0.21646206270862622, -0.1927687721636411, -0.26759252963115837, -0.2955496852578392, -0.28610881157734724, -0.12027356380421747, -0.1718521010961486, -0.3998522141709186, -0.26316639704965605, -0.2621304057661356, -0.2228761507210294, -0.12523677579991796], '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': -34.787922501204555, 'hecke_orbit': 6, 'hecke_orbit_code': 22517998304625024, 'label': '384.10.a.f.1.1', '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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-40649498021944192, 0, 0, 0, 0, 0, 0, 0, -3531768295986144, 0, 0, 0, 0, 0, 0, 0, -13887352081837616, 0, 0, 0, 0, 0, 0, 0, -63364625517988736, 0, 0, 0, 0, 0, 0, 0, 11100937440264192, 0, 0, 0, 0, 0, 0, 0, -5416728566793456, 0, 0, 0, 0, 0, 0, 0, 42887259918915520, 0, 0, 0, 0, 0, 0, 0, 23026173607665504, 0, 0, 0, 0, 0, 0, 0, -51483501036505328, 0, 0, 0, 0, 0, 0, 0, 13574601493644888, 0, 0, 0, 0, 0, 0, 0, -2340142052384592, 0, 0, 0, 0, 0, 0, 0, -84991596568018192, 0, 0, 0, 0, 0, 0, 0, 45203798161761968, 0, 0, 0, 0, 0, 0, 0, 14415902318710368, 0, 0, 0, 0, 0, 0, 0, 68457749037603712, 0, 0, 0, 0, 0, 0, 0, 42775459234149168, 0, 0, 0, 0, 0, 0, 0, -16003666424142720, 0, 0, 0, 0, 0, 0, 0, -5425433116682256, 0, 0, 0, 0, 0, 0, 0, -31034237230529408, 0, 0, 0, 0, 0, 0, 0, -3586578800126688, 0, 0, 0, 0, 0, 0, 0, 88770924210553104, 0, 0, 0, 0, 0, 0, 0, 14851056653663616, 0, 0, 0, 0, 0, 0, 0, 23006464431464448, 0, 0, 0, 0, 0, 0, 0, 82103560907595456, 0, 0, 0, 0, 0, 0, 0, -92812715930797504, 0, 0, 0, 0, 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: 45086543
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998304625024, 'source_is_minimal': True, 'source_label': '384.10.a.f.1.1', 'source_level': 384, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998304625024, 'target_is_minimal': True, 'target_label': '384.10.a.f.1.1', 'target_level': 384, 'twist_class_label': '384.10.a.b.1.1', 'twist_class_level': 384, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 45086544
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998304625024, 'source_is_minimal': True, 'source_label': '384.10.a.f.1.1', 'source_level': 384, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599795143040, 'target_is_minimal': True, 'target_label': '384.10.a.b.1.1', 'target_level': 384, 'twist_class_label': '384.10.a.b.1.1', 'twist_class_level': 384, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 45086545
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998304625024, 'source_is_minimal': True, 'source_label': '384.10.a.f.1.1', 'source_level': 384, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 27021597931995520, 'target_is_minimal': True, 'target_label': '384.10.a.g.1.4', 'target_level': 384, 'twist_class_label': '384.10.a.b.1.1', 'twist_class_level': 384, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 45086546
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998304625024, 'source_is_minimal': True, 'source_label': '384.10.a.f.1.1', 'source_level': 384, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007199422513536, 'target_is_minimal': True, 'target_label': '384.10.a.c.1.4', 'target_level': 384, 'twist_class_label': '384.10.a.b.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: 809075
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 22517998304625024, 'p': 2}
  • id: 809076
    {'charpoly_factorization': [[[-81, 1], 4]], 'hecke_orbit_code': 22517998304625024, 'p': 3}
  • id: 809077
    {'charpoly_factorization': [[[-217486924800, -2588500480, -6873216, 240, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 5}
  • id: 809078
    {'charpoly_factorization': [[[107350205672080, -39372619552, -73699080, -4840, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 7}
  • id: 809079
    {'charpoly_factorization': [[[-5433574901626624, -5488526384896, 1157609952, 99664, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 11}
  • id: 809080
    {'charpoly_factorization': [[[-3420928154350378224, -1239819999141472, -17703868584, 60840, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 13}
  • id: 809081
    {'charpoly_factorization': [[[-648386520390747383280, -32138794839108064, -80161247592, 434952, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 17}
  • id: 809082
    {'charpoly_factorization': [[[-21096462817086711644160, 140394999467118592, -126027840000, -631776, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 19}
  • id: 809083
    {'charpoly_factorization': [[[855748114752469202028800, -787832151529799936, -3857314584096, -749392, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 23}
  • id: 809084
    {'charpoly_factorization': [[[-237623446776189355812806400, -120325429295513472000, 403507342368, 7908544, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 29}
  • id: 809085
    {'charpoly_factorization': [[[-390612770460236138050162800, 184973706115813900896, 9640601683128, -11351240, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 31}
  • id: 809086
    {'charpoly_factorization': [[[-18976048159806141719452570352, -5387269733111624136608, -306478230344232, 13592920, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 37}
  • id: 809087
    {'charpoly_factorization': [[[83844184044048272412892062480, -3423677857190637746016, -652651509193128, 18838888, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 41}
  • id: 809088
    {'charpoly_factorization': [[[20242346608003392040323649536, -1653443759954120073216, -592933010898816, -14177920, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 43}
  • id: 809089
    {'charpoly_factorization': [[[568279306796033459940678600960, -34601676084371872104704, -1413954708273696, 37779120, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 47}
  • id: 809090
    {'charpoly_factorization': [[[-3061926221922760760782688210688, 351351524215617783911424, -2411576760925920, -115336512, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 53}
  • id: 809091
    {'charpoly_factorization': [[[762966535815764642394818076928, -95682498205482753845504, 992149114231392, 115028080, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 59}
  • id: 809092
    {'charpoly_factorization': [[[-3111458775218260886723890201840, 224028155594110552402784, 148756829450328, -173228648, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 61}
  • id: 809093
    {'charpoly_factorization': [[[-962762662485980833664229704818432, -17273621720998705100785408, -60903047243628960, 231785104, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 67}
  • id: 809094
    {'charpoly_factorization': [[[3536512398351641338583778504145152, 11020576652071098925227264, -115813756628210976, -197476208, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 71}
  • id: 809095
    {'charpoly_factorization': [[[671648016808865519147729613787408, 3825602810066341884547744, -79671951811596840, -44629400, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 73}
  • id: 809096
    {'charpoly_factorization': [[[613457792713090020669215445945744, -6084790417926315070724768, -47613229363470024, 355774584, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 79}
  • id: 809097
    {'charpoly_factorization': [[[-661463133898224464278966854141696, -29100123375886865541821184, -58527612471023904, 607613328, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 83}
  • id: 809098
    {'charpoly_factorization': [[[-101697899940569085744483661799594480, -468126570383941057594280224, -152887737068929896, 1157146424, 1], 1]], 'hecke_orbit_code': 22517998304625024, 'p': 89}
  • id: 809099
    {'charpoly_factorization': [[[5703995399831150178971734264304400, 150019410284982217129900640, 834512009695893336, 1599536472, 1], 1]], 'hecke_orbit_code': 22517998304625024, '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': 6, 'label': '384.10.a.f', '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: 170217000
    {'hecke_orbit_code': 22517998304625024, 'n': 1, 'trace_an': 4}
  • id: 170217001
    {'hecke_orbit_code': 22517998304625024, 'n': 2, 'trace_an': 0}
  • id: 170217002
    {'hecke_orbit_code': 22517998304625024, 'n': 3, 'trace_an': 324}
  • id: 170217003
    {'hecke_orbit_code': 22517998304625024, 'n': 4, 'trace_an': 0}
  • id: 170217004
    {'hecke_orbit_code': 22517998304625024, 'n': 5, 'trace_an': -240}
  • id: 170217005
    {'hecke_orbit_code': 22517998304625024, 'n': 6, 'trace_an': 0}
  • id: 170217006
    {'hecke_orbit_code': 22517998304625024, 'n': 7, 'trace_an': 4840}
  • id: 170217007
    {'hecke_orbit_code': 22517998304625024, 'n': 8, 'trace_an': 0}
  • id: 170217008
    {'hecke_orbit_code': 22517998304625024, 'n': 9, 'trace_an': 26244}
  • id: 170217009
    {'hecke_orbit_code': 22517998304625024, 'n': 10, 'trace_an': 0}
  • id: 170217010
    {'hecke_orbit_code': 22517998304625024, 'n': 11, 'trace_an': -99664}
  • id: 170217011
    {'hecke_orbit_code': 22517998304625024, 'n': 12, 'trace_an': 0}
  • id: 170217012
    {'hecke_orbit_code': 22517998304625024, 'n': 13, 'trace_an': -60840}
  • id: 170217013
    {'hecke_orbit_code': 22517998304625024, 'n': 14, 'trace_an': 0}
  • id: 170217014
    {'hecke_orbit_code': 22517998304625024, 'n': 15, 'trace_an': -19440}
  • id: 170217015
    {'hecke_orbit_code': 22517998304625024, 'n': 16, 'trace_an': 0}
  • id: 170217016
    {'hecke_orbit_code': 22517998304625024, 'n': 17, 'trace_an': -434952}
  • id: 170217017
    {'hecke_orbit_code': 22517998304625024, 'n': 18, 'trace_an': 0}
  • id: 170217018
    {'hecke_orbit_code': 22517998304625024, 'n': 19, 'trace_an': 631776}
  • id: 170217019
    {'hecke_orbit_code': 22517998304625024, 'n': 20, 'trace_an': 0}
  • id: 170217020
    {'hecke_orbit_code': 22517998304625024, 'n': 21, 'trace_an': 392040}
  • id: 170217021
    {'hecke_orbit_code': 22517998304625024, 'n': 22, 'trace_an': 0}
  • id: 170217022
    {'hecke_orbit_code': 22517998304625024, 'n': 23, 'trace_an': 749392}
  • id: 170217023
    {'hecke_orbit_code': 22517998304625024, 'n': 24, 'trace_an': 0}
  • id: 170217024
    {'hecke_orbit_code': 22517998304625024, 'n': 25, 'trace_an': 5991532}
  • id: 170217025
    {'hecke_orbit_code': 22517998304625024, 'n': 26, 'trace_an': 0}
  • id: 170217026
    {'hecke_orbit_code': 22517998304625024, 'n': 27, 'trace_an': 2125764}
  • id: 170217027
    {'hecke_orbit_code': 22517998304625024, 'n': 28, 'trace_an': 0}
  • id: 170217028
    {'hecke_orbit_code': 22517998304625024, 'n': 29, 'trace_an': -7908544}
  • id: 170217029
    {'hecke_orbit_code': 22517998304625024, 'n': 30, 'trace_an': 0}
  • id: 170217030
    {'hecke_orbit_code': 22517998304625024, 'n': 31, 'trace_an': 11351240}
  • id: 170217031
    {'hecke_orbit_code': 22517998304625024, 'n': 32, 'trace_an': 0}
  • id: 170217032
    {'hecke_orbit_code': 22517998304625024, 'n': 33, 'trace_an': -8072784}
  • id: 170217033
    {'hecke_orbit_code': 22517998304625024, 'n': 34, 'trace_an': 0}
  • id: 170217034
    {'hecke_orbit_code': 22517998304625024, 'n': 35, 'trace_an': -25567008}
  • id: 170217035
    {'hecke_orbit_code': 22517998304625024, 'n': 36, 'trace_an': 0}
  • id: 170217036
    {'hecke_orbit_code': 22517998304625024, 'n': 37, 'trace_an': -13592920}
  • id: 170217037
    {'hecke_orbit_code': 22517998304625024, 'n': 38, 'trace_an': 0}
  • id: 170217038
    {'hecke_orbit_code': 22517998304625024, 'n': 39, 'trace_an': -4928040}
  • id: 170217039
    {'hecke_orbit_code': 22517998304625024, 'n': 40, 'trace_an': 0}
  • id: 170217040
    {'hecke_orbit_code': 22517998304625024, 'n': 41, 'trace_an': -18838888}
  • id: 170217041
    {'hecke_orbit_code': 22517998304625024, 'n': 42, 'trace_an': 0}
  • id: 170217042
    {'hecke_orbit_code': 22517998304625024, 'n': 43, 'trace_an': 14177920}
  • id: 170217043
    {'hecke_orbit_code': 22517998304625024, 'n': 44, 'trace_an': 0}
  • id: 170217044
    {'hecke_orbit_code': 22517998304625024, 'n': 45, 'trace_an': -1574640}
  • id: 170217045
    {'hecke_orbit_code': 22517998304625024, 'n': 46, 'trace_an': 0}
  • id: 170217046
    {'hecke_orbit_code': 22517998304625024, 'n': 47, 'trace_an': -37779120}
  • id: 170217047
    {'hecke_orbit_code': 22517998304625024, 'n': 48, 'trace_an': 0}
  • id: 170217048
    {'hecke_orbit_code': 22517998304625024, 'n': 49, 'trace_an': 9409332}
  • id: 170217049
    {'hecke_orbit_code': 22517998304625024, 'n': 50, 'trace_an': 0}
  • id: 170217050
    {'hecke_orbit_code': 22517998304625024, 'n': 51, 'trace_an': -35231112}
  • id: 170217051
    {'hecke_orbit_code': 22517998304625024, 'n': 52, 'trace_an': 0}
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    {'hecke_orbit_code': 22517998304625024, 'n': 981, 'trace_an': -683328307464}
  • id: 170217981
    {'hecke_orbit_code': 22517998304625024, 'n': 982, 'trace_an': 0}
  • id: 170217982
    {'hecke_orbit_code': 22517998304625024, 'n': 983, 'trace_an': -5009654463904}
  • id: 170217983
    {'hecke_orbit_code': 22517998304625024, 'n': 984, 'trace_an': 0}
  • id: 170217984
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  • id: 170217985
    {'hecke_orbit_code': 22517998304625024, 'n': 986, 'trace_an': 0}
  • id: 170217986
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  • id: 170217987
    {'hecke_orbit_code': 22517998304625024, 'n': 988, 'trace_an': 0}
  • id: 170217988
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  • id: 170217989
    {'hecke_orbit_code': 22517998304625024, 'n': 990, 'trace_an': 0}
  • id: 170217990
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  • id: 170217991
    {'hecke_orbit_code': 22517998304625024, 'n': 992, 'trace_an': 0}
  • id: 170217992
    {'hecke_orbit_code': 22517998304625024, 'n': 993, 'trace_an': -57616943324112}
  • id: 170217993
    {'hecke_orbit_code': 22517998304625024, 'n': 994, 'trace_an': 0}
  • id: 170217994
    {'hecke_orbit_code': 22517998304625024, 'n': 995, 'trace_an': -105111467088864}
  • id: 170217995
    {'hecke_orbit_code': 22517998304625024, 'n': 996, 'trace_an': 0}
  • id: 170217996
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  • id: 170217997
    {'hecke_orbit_code': 22517998304625024, 'n': 998, 'trace_an': 0}
  • id: 170217998
    {'hecke_orbit_code': 22517998304625024, 'n': 999, 'trace_an': -7223834997720}
  • id: 170217999
    {'hecke_orbit_code': 22517998304625024, 'n': 1000, 'trace_an': 0}