Embedded newform data - 1008.2.df.e.689.18

Formats: - HTML - YAML - JSON - 2025-09-13T04:48:30.508886

• 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': 4032, 'analytic_conductor': 8.048920523745062, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 63, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 84, 'char_orbit_label': 'df', 'char_order': 6, 'char_parity': 1, 'char_values': [1008, 6, [127, 757, 785, 577], [6, 6, 5, 1]], 'cm_discs': [], 'conrey_index': 689, 'dim': 48, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [-6476, -220260, -2383875, -11529738, -25983819, -19294080, 23713832, 47326098, 6433746, -33359910, -15323967, 11791020, 8008817, -2387970, -2188401, 287724, 357756, -20280, -36005, 768, 2175, -12, -72, 0, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18020102259606512, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 63, 19, 1, 6, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1008.2.df.e', 'level': 1008, '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': '504.2.bs.a', 'prim_orbit_index': 19, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1008.2.df', 'trace_display': [0, 0, 0, 0], 'traces': [48, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -10, 0, 0, 0, 48, 0, -18, 0, 18, 0, -18, 0, 12, 0, 0, 0, 0, 0, 4, 0, -6, 0, 6, 0, -18, 0, -18, 0, -12, 0, -6, 0, -12, 0, 0, 0, 4, 0, 0, 0, 18, 0, 32, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, -6, 0, 6, 0, 0, 0, 0, 0, 54, 0, -18, 0, -6, 0, 4, 0, 54, 0, 0, 0, 64, 0, 0, 0, 0, 0, -12, 0, 48, 0, 0, 0, 36, 0, -78, 0, 0, 0, -42, 0, 36, 0, -48, 0, -4, 0, 72, 0, -12, 0, 18, 0, 60, 0, -6, 0, 14, 0, 0, 0, 0, 0, -74, 0, 0, 0, 18, 0, -106, 0, 0, 0, -24, 0, -90, 0, 48, 0, 36, 0, 54, 0, -48, 0, 0, 0, -48, 0, -90, 0, 12, 0, -48, 0, -72, 0, 6, 0, 6, 0, 36, 0, 0, 0, 42, 0, 24, 0, 0, 0, 74, 0, -36, 0, -12, 0, -18, 0, 0, 0, 0, 0, -60, 0, -60, 0, 30, 0, -22, 0, -42, 0, 0, 0, 60, 0, -60, 0, -6, 0, -8, 0, 24, 0, 18, 0, 86, 0, -108, 0, 0, 0, -76, 0, 0, 0, 18, 0, 132, 0, -144, 0, 0, 0, -60, 0, 96, 0, 108, 0, 56, 0, 36, 0, 0, 0, -66, 0, 144, 0, 60, 0, -40, 0, 0, 0, 0, 0, -162, 0, 36, 0, 0, 0, -78, 0, 0, 0, -12, 0, -42, 0, 156, 0, 18, 0, 114, 0, -150, 0, -36, 0, -102, 0, -84, 0, -12, 0, -36, 0, -60, 0, 18, 0, -30, 0, -36, 0, 0, 0, 48, 0, 0, 0, -36, 0, 136, 0, -30, 0, 36, 0, -54, 0, 0, 0, 0, 0, -168, 0, 90, 0, -36, 0, 8, 0, -180, 0, 18, 0, -54, 0, -54, 0, 114, 0, 80, 0, -42, 0, -54, 0, 74, 0, -120, 0, 0, 0, -34, 0, 60, 0, 12, 0, 258, 0, -216, 0, 0, 0, 24, 0, 144, 0, -48, 0, 72, 0, 276, 0, -48, 0, 96, 0, 168, 0, -60, 0, -100, 0, 0, 0, 0, 0, -256, 0, 126, 0, -54, 0, 14, 0, 0, 0, 60, 0, -216, 0, 240, 0, -144, 0, 174, 0, -114, 0, 54, 0, -20, 0, -60, 0, 36, 0, -84, 0, -54, 0, 6, 0, 66, 0, -204, 0, 0, 0, 90, 0, 54, 0, 0, 0, 186, 0, 72, 0, 6, 0, -42, 0, 0, 0, 0, 0, -174, 0, 126, 0, -6, 0, 146, 0, -138, 0, -18, 0, 84, 0, -78, 0, -114, 0, 6, 0, 60, 0, 0, 0, 100, 0, 0, 0, 0, 0, 84, 0, -84, 0, -54, 0, 198, 0, -120, 0, 0, 0, 84, 0, 138, 0, -108, 0, 70, 0, 336, 0, 36, 0, 186, 0, 216, 0, -18, 0, -56, 0, 0, 0, 0, 0, -232, 0, 48, 0, 54, 0, -162, 0, 0, 0, -108, 0, -300, 0, 234, 0, 162, 0, 228, 0, -222, 0, -18, 0, 38, 0, -108, 0, -42, 0, -72, 0, -72, 0, -30, 0, 70, 0, -90, 0, 0, 0, 94, 0, 162, 0, 0, 0, 128, 0, 48, 0, -36, 0, -120, 0, 0, 0, -54, 0, -138, 0, 198, 0, 30, 0, 60, 0, -54, 0, 12, 0, 186, 0, -156, 0, 12, 0, 106, 0, 246, 0, 18, 0, 234, 0, -180, 0, 0, 0, -2, 0, -18, 0, 36, 0, 288, 0, -306, 0, 0, 0, 30, 0, 102, 0, 216, 0, 28, 0, 396, 0, -144, 0, -60, 0, 324, 0, 90, 0, -134, 0, 0, 0, -126, 0, -392, 0, 0, 0, 0, 0, -324, 0, 0, 0, -60, 0, -192, 0, 216, 0, 108, 0, 246, 0, -312, 0, -12, 0, -38, 0, -276, 0, -24, 0, -120, 0, -42, 0, 54, 0, 46, 0, 210, 0, 0, 0, 126, 0, 96, 0, -126, 0, 242, 0, -180, 0, 36, 0, 60, 0, 0, 0, 36, 0, -258, 0, -108, 0, -42, 0, -78, 0, -180, 0, -12, 0, 114, 0, -96, 0, 72, 0, 16, 0, 144, 0, 54, 0, 236, 0, -252, 0, 0, 0, -200, 0, 84, 0, -30, 0, 282, 0, -276, 0, 0, 0, -138, 0, 264, 0, -132, 0, 68, 0, 168, 0, 24, 0, -156, 0, 96, 0, -120, 0, 32, 0, 0, 0, 72, 0, -334, 0, 108, 0, -252, 0, -178, 0, 0, 0, 120, 0, -72, 0, 372, 0, -162, 0, 306, 0, -306, 0, 66, 0, -348, 0, -120, 0, -36, 0, -288, 0, -216, 0, -18, 0, -24, 0, -150, 0, 0, 0, 132, 0, 0, 0, 108, 0, 340, 0, -66, 0, 0, 0, -72, 0, 0, 0, 36, 0, -324, 0, -84, 0, -48, 0, 38, 0, -282, 0, -12, 0, -66, 0, -246, 0, -114, 0, -14, 0, 0, 0, -72, 0, 338, 0, -144, 0, 0, 0, -52, 0, 132, 0, -6, 0, 390, 0, -366, 0, 0, 0, -168, 0, 492, 0, -120, 0, 158, 0, 324, 0, -48, 0, -120, 0, 120, 0, -54, 0, -110, 0, 0, 0, -18, 0, -412, 0, 216, 0, 216, 0, 2, 0, 0, 0, -120, 0, -306, 0, 480, 0, 126, 0, 360, 0, -312, 0, 18, 0, -202, 0, -78, 0, -6, 0, -240, 0, -228, 0, -90, 0, 44, 0, -384, 0, 0, 0, 254, 0, 66, 0, 0, 0, 328, 0, -12, 0, -42, 0, -162, 0, 0, 0, -72, 0, -222, 0, 174, 0, 108, 0, 238, 0, -252, 0, 6, 0, 168, 0, -228, 0, -24, 0, 104, 0, -6, 0, 144, 0, 378, 0, 108, 0, 0, 0, 38, 0, 258, 0, 0, 0, 450, 0, -390, 0, 0, 0, -42, 0, 210, 0, 228, 0, -10, 0, 684, 0, -72, 0, 288, 0, 372, 0, 192, 0, -44, 0, 0, 0, -18, 0, -432, 0, 84, 0, 0, 0, -242, 0, 0, 0, 36, 0, -642, 0, 426, 0, 0, 0, 264, 0, -336, 0, -84, 0, 102, 0, -258, 0, -54, 0, -228, 0, -126, 0, 126, 0, 74, 0, -288, 0, 0, 0, 146, 0, 180, 0, -180, 0, 384, 0, -186, 0, 24, 0, -18, 0, 0, 0, -54, 0, -132, 0, -156, 0, -36, 0, 134, 0, -132, 0, 18, 0, 588, 0, -132, 0, 126, 0, -150, 0, 336, 0, -90, 0, 276, 0, -180, 0, 0, 0, -142, 0, 144, 0, -12, 0, 414, 0, -354, 0, 0, 0, -162, 0, 36, 0, -144, 0, -72, 0, 396, 0, 144, 0, 108, 0, 588, 0, -174, 0, 18, 0, 0, 0, 162, 0, -350, 0, -102, 0, -198, 0, -610, 0, 0, 0, 132, 0, -420, 0, 342, 0, -234, 0, 336, 0, -210, 0, 96, 0, -254, 0, -414, 0, 42, 0, -162, 0, -240, 0, -180, 0, 22, 0, 108, 0, 0, 0, 110, 0, 132, 0, 324, 0, 448, 0, -228, 0, -6, 0, 102, 0, 0, 0, 162, 0, -222, 0, -120, 0, -48, 0, -382, 0, -210, 0, -42, 0, 60, 0, -120, 0, -198, 0, 22, 0, 174, 0, -162, 0, 230, 0, -708, 0, 0, 0, -246, 0, 66, 0, 18, 0, 456, 0, -474, 0, 0, 0, -162, 0, 264, 0, -144, 0, 130, 0, 264, 0, 84, 0, -264, 0, 708, 0, -6, 0, -170, 0, 0, 0, -18, 0, -668, 0, 36, 0, 378, 0, -348, 0, 0, 0, -72, 0, -180, 0, 366, 0, 0, 0, 324, 0, -294, 0, -30, 0, -326, 0, -318, 0, 54, 0, 0, 0, -312, 0, -90, 0, -144, 0, -18, 0, 0, 0, 80, 0, -102, 0, 36, 0, 328, 0, -204, 0, -42, 0, -114, 0, 0, 0, -126, 0, -366, 0, 102, 0, 228, 0, 36, 0, -306, 0, -6, 0, -174, 0, -78, 0, -24, 0, 250, 0, -180, 0, 108, 0, 420, 0, -84, 0, 0, 0, -140, 0, 156, 0, 6, 0, 402, 0, -414, 0, 0, 0, 48, 0, 588, 0, 360, 0, 364, 0, 696, 0, 108, 0, 192, 0, 228, 0, 258, 0, -240, 0, 0, 0, 198, 0, -434, 0, 348, 0, 0, 0, -100, 0, 0, 0, 48, 0, -342, 0, 540, 0, 108, 0, 318, 0, -348, 0, -216, 0, -126, 0, -72, 0, -48, 0, -348, 0, -204, 0, 108, 0, -12, 0, -600, 0, 0, 0, 208, 0, 162, 0, -126, 0, 414, 0, -36, 0, 48, 0, -486, 0, 0, 0, 90, 0, -174, 0, 216, 0, -138, 0, 470, 0, -108, 0, 72, 0, 234, 0, -426, 0, 246, 0, 146, 0, 216, 0, -144, 0, 428, 0, 132, 0, 0, 0, 94, 0, -18, 0, 84, 0, 492, 0, -540, 0, 0, 0, 36, 0, 516, 0, -96, 0, 168, 0, 888, 0, -24, 0, 246, 0, 564, 0, -120, 0, -112, 0, 0, 0, 36, 0, -508, 0, 144, 0, -72, 0, -272, 0, 0, 0, 84, 0, -768, 0, 450, 0, -432, 0, 552, 0, -456, 0, 138, 0, 82, 0, -198, 0, 222, 0, -120, 0, -150, 0, -48, 0, 228, 0, 60, 0, 0, 0, 256, 0, 330, 0, 234, 0, 372, 0, -120, 0, -6, 0, -54, 0, 0, 0, 180, 0, -186, 0, 186, 0, -36, 0, -42, 0, -132, 0, -90, 0, 534, 0, -282, 0, -198, 0, 290, 0, 480, 0, -108, 0, 254, 0, -372, 0, 0, 0, -90, 0, -162, 0, -78, 0, 558, 0, -540, 0, 0, 0, 18, 0, -90, 0, -240, 0, 16, 0, 624, 0, 276, 0, 54, 0, 756, 0, -54, 0, 30, 0, 0, 0, -144, 0, -616, 0, -126, 0, 288, 0, -584, 0, 0, 0, -36, 0, -432, 0, 456, 0, 144, 0, 516, 0, -498, 0, -48, 0, -158, 0, -360, 0, -54, 0, -60, 0, -240, 0, 132, 0, 0, 0, 114, 0, 0, 0, 40, 0, 84, 0, 126, 0, 426, 0, -198, 0, -114, 0, 216, 0, 0, 0, -144, 0, -444, 0, -294, 0, 180, 0, -544, 0, -408, 0, 66, 0, 264, 0, -78, 0, 36, 0, 148, 0, 96, 0, 90, 0, 482, 0, -756, 0, 0, 0, -292, 0, 174, 0, 48, 0, 564, 0, -756, 0, 0, 0, -210, 0, 294, 0, 432, 0, -38, 0, 264, 0, -72, 0, -210, 0, 288, 0, 258, 0, -90, 0, 0, 0, 18, 0, -654, 0, 120, 0, 0, 0, -376, 0, 0, 0, -108, 0, -102, 0, 576, 0, 432, 0, 534, 0, -222, 0, -162, 0, -562, 0, -336, 0, 60, 0, -468, 0, -252, 0, 138, 0, -102, 0, -240, 0, 0, 0, 412, 0, -60, 0, -270, 0, 616, 0, 168, 0, -6, 0, -78, 0, 0, 0, 108, 0, -690, 0, -84, 0, -210, 0, 32, 0, -504, 0, -6, 0, -240, 0, -318, 0, 144, 0, -272, 0, -444, 0, 270, 0, 490, 0, -408, 0, 0, 0, -22, 0, 390, 0, 36, 0, 696, 0, -468, 0, 0, 0, -294, 0, 798, 0, -192, 0, 168, 0, 324, 0, -96, 0, -174, 0, 216, 0, -156, 0, -16, 0, 0, 0, -144, 0, -630, 0, 300, 0, -432, 0, -62, 0, 0, 0, 60, 0, -294, 0, 516, 0, -216, 0, 258, 0, -732, 0, 168, 0, -174, 0, -174, 0, 60, 0, -378, 0, -306, 0, 162, 0, -214, 0, -384, 0, 0, 0, 300, 0, -6, 0, 108, 0, 232, 0, 126, 0, 72, 0, -492, 0, 0, 0, 90, 0, -672, 0, 510, 0, -126, 0, 846, 0, -324, 0, -60, 0, 168, 0, -330, 0, 6, 0, 176, 0, 258, 0, 0, 0, 434, 0, 444, 0, 0, 0, 156, 0, 414, 0, 12, 0], 'weight': 2, 'weight_parity': 1}
• 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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.6421946001814833, 0.7665416462904966], [0.0, 0.0], [1.58045757771506, 0.0], [0.0, 0.0], [-0.49166724789000665, -0.8707831632227777], [0.0, 0.0], [-0.17517219099548964, 0.984537812123963], [0.0, 0.0], [0.0, -0.5482299097810442], [0.0, 0.0], [0.771808737567078, 0.44560398239725774], [0.0, 0.0], [1.0149613222245184, 1.2114865535139925], [0.0, 0.0], [-0.7116817668158537, 1.2326689789454448], [0.0, 0.0], [0.4798071373799915, -0.2770167799254418], [0.0, 0.0], [0.3517455078177812, -0.9360956669753424], [0.0, 0.0], [0.0, 0.8025124743650741], [0.0, 0.0], [1.4978461549569548, 0.0], [0.0, 0.0], [-0.8671838705000091, 0.4979880869505048], [0.0, 0.0], [1.075380743995112, -0.620871362026918], [0.0, 0.0], [0.7578609224820066, -0.43755120760328464], [0.0, 0.0], [0.4202410575892521, -0.3520702877193684], [0.0, 0.0], [-0.7770592276420698, -1.376235848862129], [0.0, 0.0], [-0.14884438048268384, -0.2578060294171218], [0.0, 0.0], [0.15407739337806964, 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-0.35212727563461377, -0.34871166371496093, -0.3777393611254444, -0.49436048371061636, -0.16082524040652524, -0.3968169784665014, -0.3677631623446404, -0.43312150150776024, -0.4083224569537736, -0.49477221418369, -0.3726587128130747, -0.14608795012714096, -0.1319601648172028, -0.13089226301864545, 0.021411829271099657, -0.014373564925572962, -0.3517309101359094, 0.03311546244346223, -0.26239108933675004, -0.2529389616024521], 'char_orbit_index': 84, 'conrey_index': 689, 'dual_conrey_index': 929, 'dual_embedding_index': 18, 'dual_embedding_m': 42, 'embedding_index': 18, 'embedding_m': 18, 'hecke_orbit': 5, 'hecke_orbit_code': 18020102259606512, 'label': '1008.2.df.e.689.18', 'level': 1008, 'weight': 2}
• 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

  
  {'Nk2': 4032, 'analytic_conductor': 8.048920523745062, 'char_conductor': 63, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 84, 'char_orbit_label': 'df', 'char_order': 6, 'char_parity': 1, 'char_values': [1008, 6, [127, 757, 785, 577], [6, 6, 5, 1]], 'conrey_index': 689, 'cusp_dim': 360, 'dim': 92, 'eis_dim': 48, 'eis_new_dim': 8, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 5703750124528, 'hecke_orbit_dims': [2, 10, 16, 16, 48], 'label': '1008.2.df', 'level': 1008, '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': 408, 'mf_new_dim': 100, 'num_forms': 5, 'prim_orbit_index': 19, 'relative_dim': 46, 'sturm_bound': 384, 'trace_bound': 7, 'trace_display': [0, 3, -6, 1], 'traces': [92, 0, 3, 0, -6, 0, 1, 0, -1, 0, 0, 0, 0, 0, 7, 0, 0, 0, 6, 0, -4, 0, 0, 0, 74, 0, 0, 0, 6, 0, -15, 0, -3, 0, 15, 0, -2, 0, 19, 0, 0, 0, 8, 0, -15, 0, 3, 0, -1, 0, 3, 0, 0, 0, 0, 0, -2, 0, 3, 0, -3, 0, -7, 0, -27, 0, -1, 0, 9, 0, 0, 0, -6, 0, 18, 0, -27, 0, -1, 0, 3, 0, 30, 0, 3, 0, 66, 0, 12, 0, 12, 0, -23, 0, 87, 0, 0, 0, 43, 0, -6, 0, 0, 0, 6, 0, 0, 0, -2, 0, -30, 0, -42, 0, 0, 0, -30, 0, -18, 0, -54, 0, -7, 0, -30, 0, 20, 0, 42, 0, 6, 0, -15, 0, 32, 0, 0, 0, 0, 0, -11, 0, -33, 0, -21, 0, -91, 0, 0, 0, 2, 0, -36, 0, -54, 0, -3, 0, -3, 0, 21, 0, 2, 0, -39, 0, -90, 0, 20, 0, 3, 0, -51, 0, 34, 0, 33, 0, 96, 0, 0, 0, 21, 0, -3, 0, 3, 0, -25, 0, -27, 0, 1, 0, 24, 0, 0, 0, 6, 0, 9, 0, -63, 0, 3, 0, -103, 0, 33, 0, 2, 0, 6, 0, 15, 0, -9, 0, 7, 0, -42, 0, 0, 0, -22, 0, -102, 0, 0, 0, -130, 0, -24, 0, 12, 0, 33, 0, -66, 0, 0, 0, -87, 0, -3, 0, 60, 0, 20, 0, -168, 0, 14, 0, -168, 0, 90, 0, 29, 0, -19, 0, 0, 0, -15, 0, -48, 0, 0, 0, 6, 0, -36, 0, 0, 0, -2, 0, 111, 0, -6, 0, 21, 0, -63, 0, -66, 0, -16, 0, -102, 0, -24, 0, 12, 0, 54, 0, 3, 0, 1, 0, -51, 0, -18, 0, 0, 0, -21, 0, -63, 0, -3, 0, 61, 0, -51, 0, 13, 0, -36, 0, 0, 0, -45, 0, -87, 0, 93, 0, -37, 0, 17, 0, -144, 0, 10, 0, -159, 0, 0, 0, 88, 0, 77, 0, -183, 0, -36, 0, -28, 0, -6, 0, 0, 0, -16, 0, 84, 0, 8, 0, 120, 0, -93, 0, 0, 0, 72, 0, 114, 0, -2, 0, 69, 0, 72, 0, -64, 0, 60, 0, 6, 0, -27, 0, -73, 0, 0, 0, -51, 0, -79, 0, 126, 0, -6, 0, 230, 0, 0, 0, 54, 0, -99, 0, 117, 0, -3, 0, 33, 0, 81, 0, 33, 0, 49, 0, 102, 0, -2, 0, 3, 0, 33, 0, 81, 0, 114, 0, -228, 0, 0, 0, 27, 0, -3, 0, -87, 0, 24, 0, 147, 0, -9, 0, -39, 0, 0, 0, -27, 0, -51, 0, 219, 0, 13, 0, 230, 0, 0, 0, 2, 0, 24, 0, 0, 0, -35, 0, 45, 0, 45, 0, 87, 0, -74, 0, 222, 0, 0, 0, 186, 0, -135, 0, -28, 0, 0, 0, 126, 0, 0, 0, 141, 0, 78, 0, -82, 0, 109, 0, 252, 0, -42, 0, 246, 0, 138, 0, -18, 0, 46, 0, 0, 0, 66, 0, 29, 0, 0, 0, -84, 0, -66, 0, 0, 0, -54, 0, -243, 0, 42, 0, 165, 0, 45, 0, -51, 0, -14, 0, 224, 0, 45, 0, -52, 0, 69, 0, 60, 0, 1, 0, 79, 0, 0, 0, 0, 0, 28, 0, 165, 0, -33, 0, -58, 0, 69, 0, 11, 0, -93, 0, 0, 0, -42, 0, 153, 0, 189, 0, -71, 0, -45, 0, 156, 0, -21, 0, 228, 0, -96, 0, 15, 0, 145, 0, 285, 0, -36, 0, 87, 0, 60, 0, 0, 0, 70, 0, -129, 0, 22, 0, -60, 0, -66, 0, 0, 0, 138, 0, -177, 0, 32, 0, -77, 0, 168, 0, -196, 0, -75, 0, 144, 0, -3, 0, -62, 0, 0, 0, -126, 0, -41, 0, -126, 0, -6, 0, -291, 0, 0, 0, 42, 0, 48, 0, -72, 0, -3, 0, 66, 0, -108, 0, 73, 0, 130, 0, -180, 0, -26, 0, 78, 0, 129, 0, 39, 0, -53, 0, 426, 0, 0, 0, -21, 0, -42, 0, -123, 0, 89, 0, -93, 0, 18, 0, 228, 0, 0, 0, -12, 0, -90, 0, -267, 0, -11, 0, -333, 0, -60, 0, -87, 0, 69, 0, 60, 0, -33, 0, -77, 0, 39, 0, 126, 0, 20, 0, -348, 0, 0, 0, -257, 0, 138, 0, -40, 0, -33, 0, -36, 0, 0, 0, -213, 0, 93, 0, -106, 0, -76, 0, -342, 0, 40, 0, -363, 0, -246, 0, -46, 0, 155, 0, 0, 0, 0, 0, -37, 0, 0, 0, -105, 0, 38, 0, 0, 0, 116, 0, 288, 0, 42, 0, -51, 0, 69, 0, -78, 0, -3, 0, -342, 0, 120, 0, -87, 0, -219, 0, -87, 0, 57, 0, -159, 0, -96, 0, 0, 0, 54, 0, -177, 0, -60, 0, 133, 0, -3, 0, -19, 0, 0, 0, 0, 0, -6, 0, -213, 0, -159, 0, 9, 0, 53, 0, -180, 0, -12, 0, -378, 0, -174, 0, -72, 0, -203, 0, -423, 0, 0, 0, 50, 0, -6, 0, 0, 0, 68, 0, 102, 0, -24, 0, 78, 0, 66, 0, 0, 0, -171, 0, 459, 0, -50, 0, 173, 0, -96, 0, -64, 0, -234, 0, -222, 0, -20, 0, -161, 0, 0, 0, 15, 0, 14, 0, 303, 0, 66, 0, 308, 0, 0, 0, -58, 0, -51, 0, 114, 0, 63, 0, 90, 0, -105, 0, 44, 0, -154, 0, 174, 0, 37, 0, -123, 0, -123, 0, -156, 0, 17, 0, -483, 0, 0, 0, 179, 0, -3, 0, -135, 0, -71, 0, 69, 0, -12, 0, -273, 0, 0, 0, 6, 0, 9, 0, 285, 0, 11, 0, 505, 0, -96, 0, -46, 0, 21, 0, -144, 0, -42, 0, 161, 0, -123, 0, -33, 0, 186, 0, 510, 0, 0, 0, 221, 0, 237, 0, -34, 0, 81, 0, 75, 0, 0, 0, 84, 0], 'weight': 2, '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: 44865085
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 48, 'source_embedding_index': 18, 'source_hecke_orbit_code': 18020102259606512, 'source_is_minimal': False, 'source_label': '1008.2.df.e.689.18', 'source_level': 1008, 'target_conrey_index': 689, 'target_dim': 48, 'target_embedding_index': 18, 'target_hecke_orbit_code': 18020102259606512, 'target_is_minimal': False, 'target_label': '1008.2.df.e.689.18', 'target_level': 1008, 'twist_class_label': '504.2.bs.a.257.1', 'twist_class_level': 504, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 44865086
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 48, 'source_embedding_index': 18, 'source_hecke_orbit_code': 18020102259606512, 'source_is_minimal': False, 'source_label': '1008.2.df.e.689.18', 'source_level': 1008, 'target_conrey_index': 17, 'target_dim': 48, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18020102259608528, 'target_is_minimal': False, 'target_label': '3024.2.df.e.17.3', 'target_level': 3024, 'twist_class_label': '504.2.bs.a.257.1', 'twist_class_level': 504, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 44865087
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 48, 'source_embedding_index': 18, 'source_hecke_orbit_code': 18020102259606512, 'source_is_minimal': False, 'source_label': '1008.2.df.e.689.18', 'source_level': 1008, 'target_conrey_index': 185, 'target_dim': 48, 'target_embedding_index': 7, 'target_hecke_orbit_code': 5153994310136, 'target_is_minimal': True, 'target_label': '504.2.cx.a.185.7', 'target_level': 504, 'twist_class_label': '504.2.bs.a.257.1', 'twist_class_level': 504, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 44865088
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 48, 'source_embedding_index': 18, 'source_hecke_orbit_code': 18020102259606512, 'source_is_minimal': False, 'source_label': '1008.2.df.e.689.18', 'source_level': 1008, 'target_conrey_index': 257, 'target_dim': 48, 'target_embedding_index': 24, 'target_hecke_orbit_code': 18017971955827696, 'target_is_minimal': False, 'target_label': '1008.2.ca.e.257.24', 'target_level': 1008, 'twist_class_label': '504.2.bs.a.257.1', 'twist_class_level': 504, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 44865089
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 48, 'source_embedding_index': 18, 'source_hecke_orbit_code': 18020102259606512, 'source_is_minimal': False, 'source_label': '1008.2.df.e.689.18', 'source_level': 1008, 'target_conrey_index': 353, 'target_dim': 48, 'target_embedding_index': 24, 'target_hecke_orbit_code': 18017971955827696, 'target_is_minimal': False, 'target_label': '1008.2.ca.e.353.24', 'target_level': 1008, 'twist_class_label': '504.2.bs.a.257.1', 'twist_class_level': 504, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 44865090
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 48, 'source_embedding_index': 18, 'source_hecke_orbit_code': 18020102259606512, 'source_is_minimal': False, 'source_label': '1008.2.df.e.689.18', 'source_level': 1008, 'target_conrey_index': 2033, 'target_dim': 48, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18017971955829712, 'target_is_minimal': False, 'target_label': '3024.2.ca.e.2033.3', 'target_level': 3024, 'twist_class_label': '504.2.bs.a.257.1', 'twist_class_level': 504, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 44865091
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 48, 'source_embedding_index': 18, 'source_hecke_orbit_code': 18020102259606512, 'source_is_minimal': False, 'source_label': '1008.2.df.e.689.18', 'source_level': 1008, 'target_conrey_index': 17, 'target_dim': 48, 'target_embedding_index': 3, 'target_hecke_orbit_code': 5153994311144, 'target_is_minimal': False, 'target_label': '1512.2.cx.a.17.3', 'target_level': 1512, 'twist_class_label': '504.2.bs.a.257.1', 'twist_class_level': 504, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 44865092
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 48, 'source_embedding_index': 18, 'source_hecke_orbit_code': 18020102259606512, 'source_is_minimal': False, 'source_label': '1008.2.df.e.689.18', 'source_level': 1008, 'target_conrey_index': 2609, 'target_dim': 48, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18017971955829712, 'target_is_minimal': False, 'target_label': '3024.2.ca.e.2609.3', 'target_level': 3024, 'twist_class_label': '504.2.bs.a.257.1', 'twist_class_level': 504, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 44865093
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 48, 'source_embedding_index': 18, 'source_hecke_orbit_code': 18020102259606512, 'source_is_minimal': False, 'source_label': '1008.2.df.e.689.18', 'source_level': 1008, 'target_conrey_index': 257, 'target_dim': 48, 'target_embedding_index': 1, 'target_hecke_orbit_code': 3023690531320, 'target_is_minimal': True, 'target_label': '504.2.bs.a.257.1', 'target_level': 504, 'twist_class_label': '504.2.bs.a.257.1', 'twist_class_level': 504, 'twisting_char_label': '28.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 44865094
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 48, 'source_embedding_index': 18, 'source_hecke_orbit_code': 18020102259606512, 'source_is_minimal': False, 'source_label': '1008.2.df.e.689.18', 'source_level': 1008, 'target_conrey_index': 521, 'target_dim': 48, 'target_embedding_index': 3, 'target_hecke_orbit_code': 3023690532328, 'target_is_minimal': False, 'target_label': '1512.2.bs.a.521.3', 'target_level': 1512, 'twist_class_label': '504.2.bs.a.257.1', 'twist_class_level': 504, 'twisting_char_label': '36.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 44865095
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 48, 'source_embedding_index': 18, 'source_hecke_orbit_code': 18020102259606512, 'source_is_minimal': False, 'source_label': '1008.2.df.e.689.18', 'source_level': 1008, 'target_conrey_index': 353, 'target_dim': 48, 'target_embedding_index': 1, 'target_hecke_orbit_code': 3023690531320, 'target_is_minimal': True, 'target_label': '504.2.bs.a.353.1', 'target_level': 504, 'twist_class_label': '504.2.bs.a.257.1', 'twist_class_level': 504, 'twisting_char_label': '36.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 44865096
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 48, 'source_embedding_index': 18, 'source_hecke_orbit_code': 18020102259606512, 'source_is_minimal': False, 'source_label': '1008.2.df.e.689.18', 'source_level': 1008, 'target_conrey_index': 929, 'target_dim': 48, 'target_embedding_index': 18, 'target_hecke_orbit_code': 18020102259606512, 'target_is_minimal': False, 'target_label': '1008.2.df.e.929.18', 'target_level': 1008, 'twist_class_label': '504.2.bs.a.257.1', 'twist_class_level': 504, 'twisting_char_label': '63.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 44865097
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 48, 'source_embedding_index': 18, 'source_hecke_orbit_code': 18020102259606512, 'source_is_minimal': False, 'source_label': '1008.2.df.e.689.18', 'source_level': 1008, 'target_conrey_index': 1601, 'target_dim': 48, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18020102259608528, 'target_is_minimal': False, 'target_label': '3024.2.df.e.1601.3', 'target_level': 3024, 'twist_class_label': '504.2.bs.a.257.1', 'twist_class_level': 504, 'twisting_char_label': '63.61', 'twisting_conrey_index': 61, 'weight': 2}
  • id: 44865098
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 48, 'source_embedding_index': 18, 'source_hecke_orbit_code': 18020102259606512, 'source_is_minimal': False, 'source_label': '1008.2.df.e.689.18', 'source_level': 1008, 'target_conrey_index': 1097, 'target_dim': 48, 'target_embedding_index': 3, 'target_hecke_orbit_code': 3023690532328, 'target_is_minimal': False, 'target_label': '1512.2.bs.a.1097.3', 'target_level': 1512, 'twist_class_label': '504.2.bs.a.257.1', 'twist_class_level': 504, 'twisting_char_label': '84.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 44865099
    {'conductor': 252, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 48, 'source_embedding_index': 18, 'source_hecke_orbit_code': 18020102259606512, 'source_is_minimal': False, 'source_label': '1008.2.df.e.689.18', 'source_level': 1008, 'target_conrey_index': 425, 'target_dim': 48, 'target_embedding_index': 7, 'target_hecke_orbit_code': 5153994310136, 'target_is_minimal': True, 'target_label': '504.2.cx.a.425.7', 'target_level': 504, 'twist_class_label': '504.2.bs.a.257.1', 'twist_class_level': 504, 'twisting_char_label': '252.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 44865100
    {'conductor': 252, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 48, 'source_embedding_index': 18, 'source_hecke_orbit_code': 18020102259606512, 'source_is_minimal': False, 'source_label': '1008.2.df.e.689.18', 'source_level': 1008, 'target_conrey_index': 89, 'target_dim': 48, 'target_embedding_index': 3, 'target_hecke_orbit_code': 5153994311144, 'target_is_minimal': False, 'target_label': '1512.2.cx.a.89.3', 'target_level': 1512, 'twist_class_label': '504.2.bs.a.257.1', 'twist_class_level': 504, 'twisting_char_label': '252.187', 'twisting_conrey_index': 187, 'weight': 2}
• hecke_orbit_code 18020102259606512 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 84, 'hecke_orbit': 5, 'label': '1008.2.df.e', 'level': 1008, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 41757793
    {'hecke_orbit_code': 18020102259606512, 'n': 1, 'trace_an': 48}
  • id: 41757794
    {'hecke_orbit_code': 18020102259606512, 'n': 2, 'trace_an': 0}
  • id: 41757795
    {'hecke_orbit_code': 18020102259606512, 'n': 3, 'trace_an': 0}
  • id: 41757796
    {'hecke_orbit_code': 18020102259606512, 'n': 4, 'trace_an': 0}
  • id: 41757797
    {'hecke_orbit_code': 18020102259606512, 'n': 5, 'trace_an': 0}
  • id: 41757798
    {'hecke_orbit_code': 18020102259606512, 'n': 6, 'trace_an': 0}
  • id: 41757799
    {'hecke_orbit_code': 18020102259606512, 'n': 7, 'trace_an': 0}
  • id: 41757800
    {'hecke_orbit_code': 18020102259606512, 'n': 8, 'trace_an': 0}
  • id: 41757801
    {'hecke_orbit_code': 18020102259606512, 'n': 9, 'trace_an': 2}
  • id: 41757802
    {'hecke_orbit_code': 18020102259606512, 'n': 10, 'trace_an': 0}
  • id: 41757803
    {'hecke_orbit_code': 18020102259606512, 'n': 11, 'trace_an': 0}
  • id: 41757804
    {'hecke_orbit_code': 18020102259606512, 'n': 12, 'trace_an': 0}
  • id: 41757805
    {'hecke_orbit_code': 18020102259606512, 'n': 13, 'trace_an': 0}
  • id: 41757806
    {'hecke_orbit_code': 18020102259606512, 'n': 14, 'trace_an': 0}
  • id: 41757807
    {'hecke_orbit_code': 18020102259606512, 'n': 15, 'trace_an': -8}
  • id: 41757808
    {'hecke_orbit_code': 18020102259606512, 'n': 16, 'trace_an': 0}
  • id: 41757809
    {'hecke_orbit_code': 18020102259606512, 'n': 17, 'trace_an': 0}
  • id: 41757810
    {'hecke_orbit_code': 18020102259606512, 'n': 18, 'trace_an': 0}
  • id: 41757811
    {'hecke_orbit_code': 18020102259606512, 'n': 19, 'trace_an': 0}
  • id: 41757812
    {'hecke_orbit_code': 18020102259606512, 'n': 20, 'trace_an': 0}
  • id: 41757813
    {'hecke_orbit_code': 18020102259606512, 'n': 21, 'trace_an': -10}
  • id: 41757814
    {'hecke_orbit_code': 18020102259606512, 'n': 22, 'trace_an': 0}
  • id: 41757815
    {'hecke_orbit_code': 18020102259606512, 'n': 23, 'trace_an': 0}
  • id: 41757816
    {'hecke_orbit_code': 18020102259606512, 'n': 24, 'trace_an': 0}
  • id: 41757817
    {'hecke_orbit_code': 18020102259606512, 'n': 25, 'trace_an': 48}
  • id: 41757818
    {'hecke_orbit_code': 18020102259606512, 'n': 26, 'trace_an': 0}
  • id: 41757819
    {'hecke_orbit_code': 18020102259606512, 'n': 27, 'trace_an': -18}
  • id: 41757820
    {'hecke_orbit_code': 18020102259606512, 'n': 28, 'trace_an': 0}
  • id: 41757821
    {'hecke_orbit_code': 18020102259606512, 'n': 29, 'trace_an': 18}
  • id: 41757822
    {'hecke_orbit_code': 18020102259606512, 'n': 30, 'trace_an': 0}
  • id: 41757823
    {'hecke_orbit_code': 18020102259606512, 'n': 31, 'trace_an': -18}
  • id: 41757824
    {'hecke_orbit_code': 18020102259606512, 'n': 32, 'trace_an': 0}
  • id: 41757825
    {'hecke_orbit_code': 18020102259606512, 'n': 33, 'trace_an': 12}
  • id: 41757826
    {'hecke_orbit_code': 18020102259606512, 'n': 34, 'trace_an': 0}
  • id: 41757827
    {'hecke_orbit_code': 18020102259606512, 'n': 35, 'trace_an': 0}
  • id: 41757828
    {'hecke_orbit_code': 18020102259606512, 'n': 36, 'trace_an': 0}
  • id: 41757829
    {'hecke_orbit_code': 18020102259606512, 'n': 37, 'trace_an': 0}
  • id: 41757830
    {'hecke_orbit_code': 18020102259606512, 'n': 38, 'trace_an': 0}
  • id: 41757831
    {'hecke_orbit_code': 18020102259606512, 'n': 39, 'trace_an': 4}
  • id: 41757832
    {'hecke_orbit_code': 18020102259606512, 'n': 40, 'trace_an': 0}
  • id: 41757833
    {'hecke_orbit_code': 18020102259606512, 'n': 41, 'trace_an': -6}
  • id: 41757834
    {'hecke_orbit_code': 18020102259606512, 'n': 42, 'trace_an': 0}
  • id: 41757835
    {'hecke_orbit_code': 18020102259606512, 'n': 43, 'trace_an': 6}
  • id: 41757836
    {'hecke_orbit_code': 18020102259606512, 'n': 44, 'trace_an': 0}
  • id: 41757837
    {'hecke_orbit_code': 18020102259606512, 'n': 45, 'trace_an': -18}
  • id: 41757838
    {'hecke_orbit_code': 18020102259606512, 'n': 46, 'trace_an': 0}
  • id: 41757839
    {'hecke_orbit_code': 18020102259606512, 'n': 47, 'trace_an': -18}
  • id: 41757840
    {'hecke_orbit_code': 18020102259606512, 'n': 48, 'trace_an': 0}
  • id: 41757841
    {'hecke_orbit_code': 18020102259606512, 'n': 49, 'trace_an': -12}
  • id: 41757842
    {'hecke_orbit_code': 18020102259606512, 'n': 50, 'trace_an': 0}
  • id: 41757843
    {'hecke_orbit_code': 18020102259606512, 'n': 51, 'trace_an': -6}
  • id: 41757844
    {'hecke_orbit_code': 18020102259606512, 'n': 52, 'trace_an': 0}
  • id: 41757845
    {'hecke_orbit_code': 18020102259606512, 'n': 53, 'trace_an': -12}
  • id: 41757846
    {'hecke_orbit_code': 18020102259606512, 'n': 54, 'trace_an': 0}
  • id: 41757847
    {'hecke_orbit_code': 18020102259606512, 'n': 55, 'trace_an': 0}
  • id: 41757848
    {'hecke_orbit_code': 18020102259606512, 'n': 56, 'trace_an': 0}
  • id: 41757849
    {'hecke_orbit_code': 18020102259606512, 'n': 57, 'trace_an': 4}
  • id: 41757850
    {'hecke_orbit_code': 18020102259606512, 'n': 58, 'trace_an': 0}
  • id: 41757851
    {'hecke_orbit_code': 18020102259606512, 'n': 59, 'trace_an': 0}
  • id: 41757852
    {'hecke_orbit_code': 18020102259606512, 'n': 60, 'trace_an': 0}
  • id: 41757853
    {'hecke_orbit_code': 18020102259606512, 'n': 61, 'trace_an': 18}
  • id: 41757854
    {'hecke_orbit_code': 18020102259606512, 'n': 62, 'trace_an': 0}
  • id: 41757855
    {'hecke_orbit_code': 18020102259606512, 'n': 63, 'trace_an': 32}
  • id: 41757856
    {'hecke_orbit_code': 18020102259606512, 'n': 64, 'trace_an': 0}
  • id: 41757857
    {'hecke_orbit_code': 18020102259606512, 'n': 65, 'trace_an': -36}
  • id: 41757858
    {'hecke_orbit_code': 18020102259606512, 'n': 66, 'trace_an': 0}
  • id: 41757859
    {'hecke_orbit_code': 18020102259606512, 'n': 67, 'trace_an': 0}
  • id: 41757860
    {'hecke_orbit_code': 18020102259606512, 'n': 68, 'trace_an': 0}
  • id: 41757861
    {'hecke_orbit_code': 18020102259606512, 'n': 69, 'trace_an': 0}
  • id: 41757862
    {'hecke_orbit_code': 18020102259606512, 'n': 70, 'trace_an': 0}
  • id: 41757863
    {'hecke_orbit_code': 18020102259606512, 'n': 71, 'trace_an': 0}
  • id: 41757864
    {'hecke_orbit_code': 18020102259606512, 'n': 72, 'trace_an': 0}
  • id: 41757865
    {'hecke_orbit_code': 18020102259606512, 'n': 73, 'trace_an': 0}
  • id: 41757866
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  • id: 41757867
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  • id: 41757868
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  • id: 41757869
    {'hecke_orbit_code': 18020102259606512, 'n': 77, 'trace_an': -12}
  • id: 41757870
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  • id: 41757871
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  • id: 41757872
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  • id: 41757873
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  • id: 41757874
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  • id: 41757875
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  • id: 41757876
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  • id: 41757877
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  • id: 41757878
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  • id: 41757879
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  • id: 41757880
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  • id: 41757881
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  • id: 41757882
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  • id: 41757883
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  • id: 41757884
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  • id: 41757885
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  • id: 41757886
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  • id: 41757887
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  • id: 41757888
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  • id: 41757889
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  • id: 41757890
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  • id: 41757891
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  • id: 41757892
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  • id: 41757893
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  • id: 41757894
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  • id: 41757895
    {'hecke_orbit_code': 18020102259606512, 'n': 107, 'trace_an': 48}
  • id: 41757896
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  • id: 41757897
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  • id: 41757898
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  • id: 41757899
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  • id: 41757900
    {'hecke_orbit_code': 18020102259606512, 'n': 127, 'trace_an': -12}
  • id: 41757901
    {'hecke_orbit_code': 18020102259606512, 'n': 128, 'trace_an': 0}
  • id: 41757902
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  • id: 41757903
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  • id: 41757904
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  • id: 41757905
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  • id: 41757906
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  • id: 41757907
    {'hecke_orbit_code': 18020102259606512, 'n': 157, 'trace_an': 36}
  • id: 41757908
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  • id: 41757909
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  • id: 41757910
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  • id: 41757911
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  • id: 41757912
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  • id: 41757913
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  • id: 41757914
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  • id: 41757915
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  • id: 41757916
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  • id: 41757917
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  • id: 41757918
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  • id: 41757919
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  • id: 41757920
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  • id: 41757921
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  • id: 41757922
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  • id: 41757923
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  • id: 41757924
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  • id: 41757925
    {'hecke_orbit_code': 18020102259606512, 'n': 243, 'trace_an': -60}
  • id: 41757926
    {'hecke_orbit_code': 18020102259606512, 'n': 251, 'trace_an': 36}
  • id: 41757927
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  • id: 41757928
    {'hecke_orbit_code': 18020102259606512, 'n': 257, 'trace_an': 144}
  • id: 41757929
    {'hecke_orbit_code': 18020102259606512, 'n': 263, 'trace_an': 0}
  • id: 41757930
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  • id: 41757931
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  • id: 41757932
    {'hecke_orbit_code': 18020102259606512, 'n': 277, 'trace_an': -12}
  • id: 41757933
    {'hecke_orbit_code': 18020102259606512, 'n': 281, 'trace_an': 156}
  • id: 41757934
    {'hecke_orbit_code': 18020102259606512, 'n': 283, 'trace_an': 18}
  • id: 41757935
    {'hecke_orbit_code': 18020102259606512, 'n': 289, 'trace_an': -36}
  • id: 41757936
    {'hecke_orbit_code': 18020102259606512, 'n': 293, 'trace_an': -84}
  • id: 41757937
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  • id: 41757938
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  • id: 41757939
    {'hecke_orbit_code': 18020102259606512, 'n': 313, 'trace_an': -36}
  • id: 41757940
    {'hecke_orbit_code': 18020102259606512, 'n': 317, 'trace_an': -30}
  • id: 41757941
    {'hecke_orbit_code': 18020102259606512, 'n': 331, 'trace_an': -36}
  • id: 41757942
    {'hecke_orbit_code': 18020102259606512, 'n': 337, 'trace_an': 18}
  • id: 41757943
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  • id: 41757944
    {'hecke_orbit_code': 18020102259606512, 'n': 347, 'trace_an': -42}
  • id: 41757945
    {'hecke_orbit_code': 18020102259606512, 'n': 349, 'trace_an': -54}
  • id: 41757946
    {'hecke_orbit_code': 18020102259606512, 'n': 353, 'trace_an': -120}
  • id: 41757947
    {'hecke_orbit_code': 18020102259606512, 'n': 359, 'trace_an': 60}
  • id: 41757948
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  • id: 41757949
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  • id: 41757950
    {'hecke_orbit_code': 18020102259606512, 'n': 373, 'trace_an': -48}
  • id: 41757951
    {'hecke_orbit_code': 18020102259606512, 'n': 379, 'trace_an': -48}
  • id: 41757952
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  • id: 41757953
    {'hecke_orbit_code': 18020102259606512, 'n': 389, 'trace_an': 0}
  • id: 41757954
    {'hecke_orbit_code': 18020102259606512, 'n': 397, 'trace_an': -54}
  • id: 41757955
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  • id: 41757956
    {'hecke_orbit_code': 18020102259606512, 'n': 409, 'trace_an': -144}
  • id: 41757957
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  • id: 41757958
    {'hecke_orbit_code': 18020102259606512, 'n': 421, 'trace_an': 36}
  • id: 41757959
    {'hecke_orbit_code': 18020102259606512, 'n': 431, 'trace_an': -204}
  • id: 41757960
    {'hecke_orbit_code': 18020102259606512, 'n': 433, 'trace_an': 0}
  • id: 41757961
    {'hecke_orbit_code': 18020102259606512, 'n': 439, 'trace_an': 0}
  • id: 41757962
    {'hecke_orbit_code': 18020102259606512, 'n': 443, 'trace_an': 72}
  • id: 41757963
    {'hecke_orbit_code': 18020102259606512, 'n': 449, 'trace_an': 0}
  • id: 41757964
    {'hecke_orbit_code': 18020102259606512, 'n': 457, 'trace_an': -6}
  • id: 41757965
    {'hecke_orbit_code': 18020102259606512, 'n': 461, 'trace_an': -138}
  • id: 41757966
    {'hecke_orbit_code': 18020102259606512, 'n': 463, 'trace_an': -18}
  • id: 41757967
    {'hecke_orbit_code': 18020102259606512, 'n': 467, 'trace_an': -78}
  • id: 41757968
    {'hecke_orbit_code': 18020102259606512, 'n': 479, 'trace_an': 0}
  • id: 41757969
    {'hecke_orbit_code': 18020102259606512, 'n': 487, 'trace_an': -54}
  • id: 41757970
    {'hecke_orbit_code': 18020102259606512, 'n': 491, 'trace_an': -120}
  • id: 41757971
    {'hecke_orbit_code': 18020102259606512, 'n': 499, 'trace_an': -108}
  • id: 41757972
    {'hecke_orbit_code': 18020102259606512, 'n': 503, 'trace_an': 336}
  • id: 41757973
    {'hecke_orbit_code': 18020102259606512, 'n': 509, 'trace_an': 216}
  • id: 41757974
    {'hecke_orbit_code': 18020102259606512, 'n': 512, 'trace_an': 0}
  • id: 41757975
    {'hecke_orbit_code': 18020102259606512, 'n': 521, 'trace_an': 48}
  • id: 41757976
    {'hecke_orbit_code': 18020102259606512, 'n': 523, 'trace_an': 54}
  • id: 41757977
    {'hecke_orbit_code': 18020102259606512, 'n': 529, 'trace_an': -108}
  • id: 41757978
    {'hecke_orbit_code': 18020102259606512, 'n': 541, 'trace_an': -18}
  • id: 41757979
    {'hecke_orbit_code': 18020102259606512, 'n': 547, 'trace_an': -42}
  • id: 41757980
    {'hecke_orbit_code': 18020102259606512, 'n': 557, 'trace_an': -90}
  • id: 41757981
    {'hecke_orbit_code': 18020102259606512, 'n': 563, 'trace_an': 162}
  • id: 41757982
    {'hecke_orbit_code': 18020102259606512, 'n': 569, 'trace_an': 48}
  • id: 41757983
    {'hecke_orbit_code': 18020102259606512, 'n': 571, 'trace_an': -36}
  • id: 41757984
    {'hecke_orbit_code': 18020102259606512, 'n': 577, 'trace_an': -54}
  • id: 41757985
    {'hecke_orbit_code': 18020102259606512, 'n': 587, 'trace_an': -54}
  • id: 41757986
    {'hecke_orbit_code': 18020102259606512, 'n': 593, 'trace_an': -156}
  • id: 41757987
    {'hecke_orbit_code': 18020102259606512, 'n': 599, 'trace_an': 246}
  • id: 41757988
    {'hecke_orbit_code': 18020102259606512, 'n': 601, 'trace_an': 18}
  • id: 41757989
    {'hecke_orbit_code': 18020102259606512, 'n': 607, 'trace_an': 0}
  • id: 41757990
    {'hecke_orbit_code': 18020102259606512, 'n': 613, 'trace_an': 36}
  • id: 41757991
    {'hecke_orbit_code': 18020102259606512, 'n': 617, 'trace_an': -306}
  • id: 41757992
    {'hecke_orbit_code': 18020102259606512, 'n': 619, 'trace_an': 0}
  • id: 41757993
    {'hecke_orbit_code': 18020102259606512, 'n': 625, 'trace_an': 216}
  • id: 41757994
    {'hecke_orbit_code': 18020102259606512, 'n': 631, 'trace_an': -144}
  • id: 41757995
    {'hecke_orbit_code': 18020102259606512, 'n': 641, 'trace_an': 0}
  • id: 41757996
    {'hecke_orbit_code': 18020102259606512, 'n': 643, 'trace_an': -126}
  • id: 41757997
    {'hecke_orbit_code': 18020102259606512, 'n': 647, 'trace_an': 0}
  • id: 41757998
    {'hecke_orbit_code': 18020102259606512, 'n': 653, 'trace_an': 0}
  • id: 41757999
    {'hecke_orbit_code': 18020102259606512, 'n': 659, 'trace_an': 216}
  • id: 41758000
    {'hecke_orbit_code': 18020102259606512, 'n': 661, 'trace_an': 108}
  • id: 41758001
    {'hecke_orbit_code': 18020102259606512, 'n': 673, 'trace_an': -24}
  • id: 41758002
    {'hecke_orbit_code': 18020102259606512, 'n': 677, 'trace_an': -42}
  • id: 41758003
    {'hecke_orbit_code': 18020102259606512, 'n': 683, 'trace_an': 210}
  • id: 41758004
    {'hecke_orbit_code': 18020102259606512, 'n': 691, 'trace_an': -126}
  • id: 41758005
    {'hecke_orbit_code': 18020102259606512, 'n': 701, 'trace_an': 0}
  • id: 41758006
    {'hecke_orbit_code': 18020102259606512, 'n': 709, 'trace_an': -42}
  • id: 41758007
    {'hecke_orbit_code': 18020102259606512, 'n': 719, 'trace_an': -96}
  • id: 41758008
    {'hecke_orbit_code': 18020102259606512, 'n': 727, 'trace_an': 54}
  • id: 41758009
    {'hecke_orbit_code': 18020102259606512, 'n': 729, 'trace_an': 236}
  • id: 41758010
    {'hecke_orbit_code': 18020102259606512, 'n': 733, 'trace_an': 0}
  • id: 41758011
    {'hecke_orbit_code': 18020102259606512, 'n': 739, 'trace_an': -30}
  • id: 41758012
    {'hecke_orbit_code': 18020102259606512, 'n': 743, 'trace_an': -276}
  • id: 41758013
    {'hecke_orbit_code': 18020102259606512, 'n': 751, 'trace_an': -132}
  • id: 41758014
    {'hecke_orbit_code': 18020102259606512, 'n': 757, 'trace_an': 24}
  • id: 41758015
    {'hecke_orbit_code': 18020102259606512, 'n': 761, 'trace_an': 96}
  • id: 41758016
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  • id: 41758017
    {'hecke_orbit_code': 18020102259606512, 'n': 773, 'trace_an': 108}
  • id: 41758018
    {'hecke_orbit_code': 18020102259606512, 'n': 787, 'trace_an': -162}
  • id: 41758019
    {'hecke_orbit_code': 18020102259606512, 'n': 797, 'trace_an': -120}
  • id: 41758020
    {'hecke_orbit_code': 18020102259606512, 'n': 809, 'trace_an': -150}
  • id: 41758021
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  • id: 41758022
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  • id: 41758023
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  • id: 41758024
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  • id: 41758025
    {'hecke_orbit_code': 18020102259606512, 'n': 829, 'trace_an': 36}
  • id: 41758026
    {'hecke_orbit_code': 18020102259606512, 'n': 839, 'trace_an': -282}
  • id: 41758027
    {'hecke_orbit_code': 18020102259606512, 'n': 841, 'trace_an': -12}
  • id: 41758028
    {'hecke_orbit_code': 18020102259606512, 'n': 853, 'trace_an': -72}
  • id: 41758029
    {'hecke_orbit_code': 18020102259606512, 'n': 857, 'trace_an': -144}
  • id: 41758030
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  • id: 41758031
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  • id: 41758032
    {'hecke_orbit_code': 18020102259606512, 'n': 877, 'trace_an': -120}
  • id: 41758033
    {'hecke_orbit_code': 18020102259606512, 'n': 881, 'trace_an': 324}
  • id: 41758034
    {'hecke_orbit_code': 18020102259606512, 'n': 883, 'trace_an': -48}
  • id: 41758035
    {'hecke_orbit_code': 18020102259606512, 'n': 887, 'trace_an': 120}
  • id: 41758036
    {'hecke_orbit_code': 18020102259606512, 'n': 907, 'trace_an': -120}
  • id: 41758037
    {'hecke_orbit_code': 18020102259606512, 'n': 911, 'trace_an': 480}
  • id: 41758038
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  • id: 41758039
    {'hecke_orbit_code': 18020102259606512, 'n': 929, 'trace_an': -228}
  • id: 41758040
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  • id: 41758041
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  • id: 41758042
    {'hecke_orbit_code': 18020102259606512, 'n': 947, 'trace_an': -12}
  • id: 41758043
    {'hecke_orbit_code': 18020102259606512, 'n': 953, 'trace_an': 0}
  • id: 41758044
    {'hecke_orbit_code': 18020102259606512, 'n': 961, 'trace_an': 108}
  • id: 41758045
    {'hecke_orbit_code': 18020102259606512, 'n': 967, 'trace_an': 6}
  • id: 41758046
    {'hecke_orbit_code': 18020102259606512, 'n': 971, 'trace_an': -228}
  • id: 41758047
    {'hecke_orbit_code': 18020102259606512, 'n': 977, 'trace_an': -6}
  • id: 41758048
    {'hecke_orbit_code': 18020102259606512, 'n': 983, 'trace_an': 108}
  • id: 41758049
    {'hecke_orbit_code': 18020102259606512, 'n': 991, 'trace_an': 0}
  • id: 41758050
    {'hecke_orbit_code': 18020102259606512, 'n': 997, 'trace_an': 0}