Embedded newform data - 264.6.a.a.1.2

Formats: - HTML - YAML - JSON - 2024-06-29T16:59:31.331681

• 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': 9504, 'analytic_conductor': 42.34132843062689, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 1], [11, 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': [264, 1, [199, 133, 89, 145], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 409, 'field_disc_factorization': [[409, 1]], 'field_poly': [-102, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [-3456, 30, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 100663560, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], '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': '264.6.a.a', 'level': 264, '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, 11], 'level_radical': 66, 'minimal_twist': '264.6.a.a', 'nf_label': '2.2.409.1', 'prim_orbit_index': 1, 'qexp_display': 'q-9q^{3}+(-15-3\\beta )q^{5}+(24+2\\beta )q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '264.6.a', 'trace_display': [0, -18, -30, 48], 'trace_hash': 2288230063240350892, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.984', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.159', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '71.794', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, 0, -18, 0, -30, 0, 48, 0, 162, 0, -242, 0, 414, 0, 270, 0, -1174, 0, 2694, 0, -432, 0, 2274, 0, 1562, 0, -1458, 0, 1282, 0, -1720, 0, 2178, 0, -5628, 0, -2856, 0, -3726, 0, -7198, 0, -7274, 0, -2430, 0, -3362, 0, -29190, 0, 10566, 0, -44138, 0, 3630, 0, -24246, 0, -27668, 0, -25050, 0, 3888, 0, -72468, 0, 29080, 0, -20466, 0, -3950, 0, -52784, 0, -14058, 0, -5808, 0, -97268, 0, 13122, 0, -15196, 0, -87912, 0, -11538, 0, -227476, 0, 54108, 0, 15480, 0, -37956, 0, -96996, 0, -19602, 0, -23614, 0, -121624, 0, 50652, 0, 2700, 0, 5942, 0, 25704, 0, -161824, 0, 292272, 0, 33534, 0, 42172, 0, 29282, 0, 64782, 0, -150540, 0, 20164, 0, 65466, 0, -3264, 0, 63020, 0, 21870, 0, -12364, 0, -131130, 0, 30258, 0, -50094, 0, -65856, 0, 262710, 0, -497774, 0, 243260, 0, -95094, 0, 35616, 0, 462000, 0, 397242, 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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, -0.1830266858621933, -0.260102678653928, None, -0.2948696424269565, -0.35465955480543254, -0.1784738953136839, -0.11401458118988228, -0.24548807674595527, -0.26159755159233766, -0.33712028094968877, -0.2267359086341377, -0.25940806614488765, -0.22439789650010145, -0.31014918485647436, -0.39906420242808566, -0.3145719688749057, -0.2349564272124459, -0.3260910286918573, -0.2749505767066673, -0.36273236546488263, -0.2450168127786628, -0.4446760626280635, -0.23689178447313647, -0.15691821640099948, -0.23873478347298763, -0.3531668111660434, -0.20568116699750996, -0.3345285480906712, -0.09884717049358294, -0.30963106653368894, -0.2936016031055986, -0.2950891706488577, -0.2582326500940244, -0.25421529701725093, -0.27608604375680307, -0.19826294094776936, -0.1350318121336262, -0.23023911894667506, -0.21161262611290277, -0.2706939268291903, -0.3154867470978392, -0.07795543574827658, -0.29986767815946724, -0.12014335815809377, -0.25633763544556576, -0.23773349020414566, 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-0.21956276246952489, -0.1762629708876571, -0.258744939984458, -0.35409719978188137, -0.31776561748774856, -0.27344930595535527, -0.21001970960037902, -0.22736933615129287, -0.11831078280637078, -0.17182792049006052, -0.2172772958366309, -0.18369946817352958, -0.24134531097457057, -0.1776576124855549, -0.20338601527115238, -0.38358965457810357, -0.1716219536332526, -0.15927351213258575, -0.22546044340813845, -0.2680814806865696, -0.3012374433423314, -0.3875868688305415, -0.3462215872973468, -0.22830926491996628, -0.35570401248051353, -0.10559730303887528, -0.16015771195301282, -0.2141398778696268, -0.30891193003572487, -0.19201715029191263, -0.2661340720937801, -0.3312998894563749, -0.3776661419867882, -0.3009817187265026, -0.3939425569231796, -0.3470650996406256, -0.19903277288842655, -0.3326002203032756, -0.36450247936198144, -0.3562404009110464, -0.38718287934820284, -0.33061309085654256, -0.29425250530421765, -0.17607825105268238, -0.3185551369469484, -0.1777472849791709, -0.11068177604102776, -0.16330374214144597, -0.19440787848337981, -0.22881323243067692, -0.3459221093264962, -0.3647933330565416, -0.22922179702241915, -0.2598860812317389, -0.2107568030796763, -0.1920710583101883, -0.11820248407347747, -0.11802894086398909, -0.3434401131858732, -0.42110714222959583, -0.12178704480479155, -0.3056165396470263, -0.14587326043840376, -0.3785318561993525, -0.054529196160976595, -0.2713712639810876, -0.22937455695011152, -0.3014873575878718, -0.384055638609164, -0.33190899505387816, -0.29078017613417007, -0.3193943680801766, -0.21982455251946348, -0.13711588711419695], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -9.611874208078342, 'hecke_orbit': 1, 'hecke_orbit_code': 100663560, 'label': '264.6.a.a.1.2', 'level': 264, 'weight': 6}
• mf_newspaces •

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

  
  {'ALdims': [2, 3, 4, 2, 3, 3, 3, 4], 'Nk2': 9504, 'analytic_conductor': 42.34132843062689, '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': [264, 1, [199, 133, 89, 145], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 232, 'dim': 24, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 100663560, 'hecke_orbit_dims': [2, 2, 2, 2, 3, 3, 3, 3, 4], 'label': '264.6.a', 'level': 264, '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, 11], 'level_radical': 66, 'mf_dim': 248, 'mf_new_dim': 24, 'num_forms': 9, 'plus_dim': 10, 'prim_orbit_index': 1, 'relative_dim': 24, 'sturm_bound': 288, 'trace_bound': 7, 'trace_display': [0, 18, -196, -124], 'traces': [24, 0, 18, 0, -196, 0, -124, 0, 1944, 0, 0, 0, 880, 0, 0, 0, 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0, 23167676, 0, -122862824, 0, -37905624, 0, -95987960, 0, 113467744, 0, 60915384, 0, -150097632, 0, -12749592, 0, -34837452, 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: 385444
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 100663560, 'source_is_minimal': True, 'source_label': '264.6.a.a.1.2', 'source_level': 264, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 100663560, 'target_is_minimal': True, 'target_label': '264.6.a.a.1.2', 'target_level': 264, 'twist_class_label': '264.6.a.a.1.2', 'twist_class_level': 264, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 385445
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 100663560, 'source_is_minimal': True, 'source_label': '264.6.a.a.1.2', 'source_level': 264, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798982775576, 'target_is_minimal': False, 'target_label': '792.6.a.d.1.1', 'target_level': 792, 'twist_class_label': '264.6.a.a.1.2', 'twist_class_level': 264, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 385446
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 100663560, 'source_is_minimal': True, 'source_label': '264.6.a.a.1.2', 'source_level': 264, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 76561193765962256, 'target_is_minimal': False, 'target_label': '528.6.a.r.1.2', 'target_level': 528, 'twist_class_label': '264.6.a.a.1.2', 'twist_class_level': 264, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 610175
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 100663560, 'p': 2}
  • id: 610176
    {'charpoly_factorization': [[[9, 1], 2]], 'hecke_orbit_code': 100663560, 'p': 3}
  • id: 610177
    {'charpoly_factorization': [[[-3456, 30, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 5}
  • id: 610178
    {'charpoly_factorization': [[[-1060, -48, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 7}
  • id: 610179
    {'charpoly_factorization': [[[121, 1], 2]], 'hecke_orbit_code': 100663560, 'p': 11}
  • id: 610180
    {'charpoly_factorization': [[[-255312, -414, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 13}
  • id: 610181
    {'charpoly_factorization': [[[-411672, 1174, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 17}
  • id: 610182
    {'charpoly_factorization': [[[1814000, -2694, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 19}
  • id: 610183
    {'charpoly_factorization': [[[-5942032, -2274, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 23}
  • id: 610184
    {'charpoly_factorization': [[[263232, -1282, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 29}
  • id: 610185
    {'charpoly_factorization': [[[733056, 1720, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 31}
  • id: 610186
    {'charpoly_factorization': [[[-50379892, 2856, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 37}
  • id: 610187
    {'charpoly_factorization': [[[-32400800, 7198, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 41}
  • id: 610188
    {'charpoly_factorization': [[[8368440, 7274, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 43}
  • id: 610189
    {'charpoly_factorization': [[[-39844800, 3362, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 47}
  • id: 610190
    {'charpoly_factorization': [[[438359536, 44138, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 53}
  • id: 610191
    {'charpoly_factorization': [[[-663805088, 27668, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 59}
  • id: 610192
    {'charpoly_factorization': [[[48398600, 25050, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 61}
  • id: 610193
    {'charpoly_factorization': [[[153588816, -29080, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 67}
  • id: 610194
    {'charpoly_factorization': [[[-1373294400, 3950, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 71}
  • id: 610195
    {'charpoly_factorization': [[[548314428, 52784, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 73}
  • id: 610196
    {'charpoly_factorization': [[[1811113492, 97268, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 79}
  • id: 610197
    {'charpoly_factorization': [[[-75154496, 15196, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 83}
  • id: 610198
    {'charpoly_factorization': [[[12219365460, 227476, 1], 1]], 'hecke_orbit_code': 100663560, 'p': 89}
  • id: 610199
    {'charpoly_factorization': [[[-1711401532, 96996, 1], 1]], 'hecke_orbit_code': 100663560, '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': 1, 'label': '264.6.a.a', 'level': 264, 'portrait': 'data:image/png;base64,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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 3286404
    {'hecke_orbit_code': 100663560, 'n': 1, 'trace_an': 2}
  • id: 3286405
    {'hecke_orbit_code': 100663560, 'n': 2, 'trace_an': 0}
  • id: 3286406
    {'hecke_orbit_code': 100663560, 'n': 3, 'trace_an': -18}
  • id: 3286407
    {'hecke_orbit_code': 100663560, 'n': 4, 'trace_an': 0}
  • id: 3286408
    {'hecke_orbit_code': 100663560, 'n': 5, 'trace_an': -30}
  • id: 3286409
    {'hecke_orbit_code': 100663560, 'n': 6, 'trace_an': 0}
  • id: 3286410
    {'hecke_orbit_code': 100663560, 'n': 7, 'trace_an': 48}
  • id: 3286411
    {'hecke_orbit_code': 100663560, 'n': 8, 'trace_an': 0}
  • id: 3286412
    {'hecke_orbit_code': 100663560, 'n': 9, 'trace_an': 162}
  • id: 3286413
    {'hecke_orbit_code': 100663560, 'n': 10, 'trace_an': 0}
  • id: 3286414
    {'hecke_orbit_code': 100663560, 'n': 11, 'trace_an': -242}
  • id: 3286415
    {'hecke_orbit_code': 100663560, 'n': 12, 'trace_an': 0}
  • id: 3286416
    {'hecke_orbit_code': 100663560, 'n': 13, 'trace_an': 414}
  • id: 3286417
    {'hecke_orbit_code': 100663560, 'n': 14, 'trace_an': 0}
  • id: 3286418
    {'hecke_orbit_code': 100663560, 'n': 15, 'trace_an': 270}
  • id: 3286419
    {'hecke_orbit_code': 100663560, 'n': 16, 'trace_an': 0}
  • id: 3286420
    {'hecke_orbit_code': 100663560, 'n': 17, 'trace_an': -1174}
  • id: 3286421
    {'hecke_orbit_code': 100663560, 'n': 18, 'trace_an': 0}
  • id: 3286422
    {'hecke_orbit_code': 100663560, 'n': 19, 'trace_an': 2694}
  • id: 3286423
    {'hecke_orbit_code': 100663560, 'n': 20, 'trace_an': 0}
  • id: 3286424
    {'hecke_orbit_code': 100663560, 'n': 21, 'trace_an': -432}
  • id: 3286425
    {'hecke_orbit_code': 100663560, 'n': 22, 'trace_an': 0}
  • id: 3286426
    {'hecke_orbit_code': 100663560, 'n': 23, 'trace_an': 2274}
  • id: 3286427
    {'hecke_orbit_code': 100663560, 'n': 24, 'trace_an': 0}
  • id: 3286428
    {'hecke_orbit_code': 100663560, 'n': 25, 'trace_an': 1562}
  • id: 3286429
    {'hecke_orbit_code': 100663560, 'n': 26, 'trace_an': 0}
  • id: 3286430
    {'hecke_orbit_code': 100663560, 'n': 27, 'trace_an': -1458}
  • id: 3286431
    {'hecke_orbit_code': 100663560, 'n': 28, 'trace_an': 0}
  • id: 3286432
    {'hecke_orbit_code': 100663560, 'n': 29, 'trace_an': 1282}
  • id: 3286433
    {'hecke_orbit_code': 100663560, 'n': 30, 'trace_an': 0}
  • id: 3286434
    {'hecke_orbit_code': 100663560, 'n': 31, 'trace_an': -1720}
  • id: 3286435
    {'hecke_orbit_code': 100663560, 'n': 32, 'trace_an': 0}
  • id: 3286436
    {'hecke_orbit_code': 100663560, 'n': 33, 'trace_an': 2178}
  • id: 3286437
    {'hecke_orbit_code': 100663560, 'n': 34, 'trace_an': 0}
  • id: 3286438
    {'hecke_orbit_code': 100663560, 'n': 35, 'trace_an': -5628}
  • id: 3286439
    {'hecke_orbit_code': 100663560, 'n': 36, 'trace_an': 0}
  • id: 3286440
    {'hecke_orbit_code': 100663560, 'n': 37, 'trace_an': -2856}
  • id: 3286441
    {'hecke_orbit_code': 100663560, 'n': 38, 'trace_an': 0}
  • id: 3286442
    {'hecke_orbit_code': 100663560, 'n': 39, 'trace_an': -3726}
  • id: 3286443
    {'hecke_orbit_code': 100663560, 'n': 40, 'trace_an': 0}
  • id: 3286444
    {'hecke_orbit_code': 100663560, 'n': 41, 'trace_an': -7198}
  • id: 3286445
    {'hecke_orbit_code': 100663560, 'n': 42, 'trace_an': 0}
  • id: 3286446
    {'hecke_orbit_code': 100663560, 'n': 43, 'trace_an': -7274}
  • id: 3286447
    {'hecke_orbit_code': 100663560, 'n': 44, 'trace_an': 0}
  • id: 3286448
    {'hecke_orbit_code': 100663560, 'n': 45, 'trace_an': -2430}
  • id: 3286449
    {'hecke_orbit_code': 100663560, 'n': 46, 'trace_an': 0}
  • id: 3286450
    {'hecke_orbit_code': 100663560, 'n': 47, 'trace_an': -3362}
  • id: 3286451
    {'hecke_orbit_code': 100663560, 'n': 48, 'trace_an': 0}
  • id: 3286452
    {'hecke_orbit_code': 100663560, 'n': 49, 'trace_an': -29190}
  • id: 3286453
    {'hecke_orbit_code': 100663560, 'n': 50, 'trace_an': 0}
  • id: 3286454
    {'hecke_orbit_code': 100663560, 'n': 51, 'trace_an': 10566}
  • id: 3286455
    {'hecke_orbit_code': 100663560, 'n': 52, 'trace_an': 0}
  • id: 3286456
    {'hecke_orbit_code': 100663560, 'n': 53, 'trace_an': -44138}
  • id: 3286457
    {'hecke_orbit_code': 100663560, 'n': 54, 'trace_an': 0}
  • id: 3286458
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  • id: 3286459
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  • id: 3286460
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  • id: 3286461
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  • id: 3286462
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  • id: 3286463
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  • id: 3286464
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  • id: 3286465
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  • id: 3286466
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  • id: 3286467
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  • id: 3286468
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  • id: 3286469
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  • id: 3286470
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  • id: 3286471
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  • id: 3286472
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  • id: 3286473
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  • id: 3286474
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  • id: 3286475
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  • id: 3286476
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  • id: 3286477
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  • id: 3286479
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  • id: 3286480
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  • id: 3286481
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  • id: 3286482
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  • id: 3286483
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  • id: 3286484
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  • id: 3286485
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  • id: 3286486
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  • id: 3286487
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  • id: 3286488
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  • id: 3286489
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  • id: 3286490
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  • id: 3286491
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  • id: 3286492
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  • id: 3286493
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  • id: 3286494
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  • id: 3286495
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  • id: 3286496
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  • id: 3286498
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  • id: 3286499
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  • id: 3286500
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  • id: 3286501
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  • id: 3286502
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  • id: 3286503
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  • id: 3286504
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  • id: 3286505
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  • id: 3286506
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  • id: 3286507
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  • id: 3286508
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  • id: 3286509
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  • id: 3286510
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  • id: 3286511
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  • id: 3286512
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  • id: 3286513
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  • id: 3286514
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  • id: 3286515
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  • id: 3286516
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  • id: 3286517
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  • id: 3286518
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  • id: 3286519
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  • id: 3286520
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  • id: 3286521
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  • id: 3286522
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  • id: 3286523
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  • id: 3286524
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  • id: 3286525
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  • id: 3286526
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  • id: 3286527
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  • id: 3286528
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  • id: 3286529
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  • id: 3286530
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  • id: 3286531
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  • id: 3286532
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  • id: 3286533
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  • id: 3286534
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  • id: 3286535
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  • id: 3286536
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  • id: 3286537
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  • id: 3286538
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  • id: 3286539
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  • id: 3286540
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  • id: 3286541
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  • id: 3286542
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  • id: 3286543
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  • id: 3286544
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  • id: 3286545
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  • id: 3286546
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  • id: 3286547
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  • id: 3286548
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  • id: 3286549
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  • id: 3286550
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  • id: 3286551
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  • id: 3286552
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  • id: 3286553
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  • id: 3286554
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  • id: 3286555
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  • id: 3286556
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  • id: 3286557
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  • id: 3286558
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  • id: 3286559
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  • id: 3286560
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  • id: 3286561
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  • id: 3286562
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  • id: 3286563
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  • id: 3286564
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  • id: 3286565
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  • id: 3286566
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  • id: 3286567
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  • id: 3286568
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  • id: 3286569
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  • id: 3286570
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  • id: 3286571
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  • id: 3286572
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  • id: 3286573
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  • id: 3286574
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  • id: 3286575
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  • id: 3286576
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  • id: 3286577
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  • id: 3286578
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  • id: 3286579
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  • id: 3286580
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  • id: 3286581
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  • id: 3286582
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  • id: 3286583
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  • id: 3286584
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  • id: 3286585
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  • id: 3286586
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  • id: 3286587
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  • id: 3286588
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  • id: 3286589
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  • id: 3286590
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  • id: 3286591
    {'hecke_orbit_code': 100663560, 'n': 557, 'trace_an': -2669214}
  • id: 3286592
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  • id: 3286593
    {'hecke_orbit_code': 100663560, 'n': 569, 'trace_an': 14665682}
  • id: 3286594
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  • id: 3286595
    {'hecke_orbit_code': 100663560, 'n': 577, 'trace_an': 3377888}
  • id: 3286596
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  • id: 3286597
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  • id: 3286598
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  • id: 3286599
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  • id: 3286600
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  • id: 3286601
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  • id: 3286602
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  • id: 3286603
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  • id: 3286604
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  • id: 3286605
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  • id: 3286606
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  • id: 3286607
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  • id: 3286608
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  • id: 3286609
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  • id: 3286610
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  • id: 3286611
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  • id: 3286612
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  • id: 3286613
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  • id: 3286614
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  • id: 3286615
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  • id: 3286616
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  • id: 3286617
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  • id: 3286618
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  • id: 3286619
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  • id: 3286620
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  • id: 3286621
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  • id: 3286622
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  • id: 3286623
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  • id: 3286624
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  • id: 3286625
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  • id: 3286626
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  • id: 3286627
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  • id: 3286628
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  • id: 3286629
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  • id: 3286630
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  • id: 3286631
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  • id: 3286632
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  • id: 3286633
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  • id: 3286637
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  • id: 3286641
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  • id: 3286648
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  • id: 3286650
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  • id: 3286651
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  • id: 3286652
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  • id: 3286655
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  • id: 3286659
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  • id: 3286660
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  • id: 3286661
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