Embedded newform data - 483.2.y.b.361.13

Formats: - HTML - YAML - JSON - 2024-06-01T04:20:28.026553

• 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': 1932, 'analytic_conductor': 3.8567744176278427, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 161, 'char_degree': 20, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 25, 'char_orbit_label': 'y', 'char_order': 33, 'char_parity': 1, 'char_values': [483, 33, [323, 346, 442], [33, 22, 6]], 'cm_discs': [], 'conrey_index': 4, 'dim': 320, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [13416459987022353513369601, 29089212796038729935354182, 414921946944555116565959933, -20273513443173736810518765828, -16119863955559125567473159052, -559657831944376230181726590079, 16990894701581720457636885649346, -23305246800845016123264694588504, 139611959538946798430375015859285, -5718841145325746187376787575964615, 14838943207623567329292372789203209, -11688728965182062659866336306687640, 918881902386022168357054509278733849, -2780538000065977368392410926311631714, -2227813332721866894166018024116164403, -86941831279352507940164747050207423312, 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-845015663718385207, 651186780621980661, -173896333523607852, 78014166049086194, 39178174104099211, -25389963529179533, -2051661234132843, 2409929205803757, -597753807408917, 160961321374118, 163536360435410, -86281557546657, -16656706337222, 12788455457109, -841330553276, -515516147874, 560198701445, -172000593456, -82183968808, 38750666456, 2260569580, -2691381780, 1167268320, -340784977, -197287940, 100620105, 5076209, -8441868, 2878447, -487229, -496724, 199844, 25492, -20155, 3280, 87, -720, 204, 58, -23, -2, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4505248928367075, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 3, 1, 3, 0], [1, 1, 23, 3, 1, 11, 0], [1, 1, 161, 13, 1, 33, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '483.2.y.b', 'level': 483, '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': True, 'level_primes': [3, 7, 23], 'level_radical': 483, 'minimal_twist': '483.2.y.b', 'prim_orbit_index': 13, 'related_objects': [], 'relative_dim': 16, 'rm_discs': [], 'sato_tate_group': '1.2.3.c33', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '483.2.y', 'trace_display': [2, 16, -2, 2], 'traces': [320, 2, 16, 18, -2, 18, 2, -12, 16, 0, 2, 18, 0, 18, -18, -8, 4, 2, 8, -162, -4, 144, -26, 6, -8, -14, -32, 86, -74, 0, -56, -28, 13, 40, -32, -14, 2, -39, 0, -52, 60, -61, 16, -75, -2, -4, -40, -28, -100, 146, -18, -18, 34, 2, 36, -102, 28, -17, -102, -18, -18, -88, 2, -252, -78, 16, 12, 34, 8, 264, 160, 6, -8, 70, 14, -40, -90, -16, 26, -103, 16, -30, -80, -52, -128, 90, 4, -293, -36, 0, 16, -174, 32, 57, -85, -50, -8, -193, -26, -12, 172, 68, 96, 152, -63, -214, 22, 7, 7, 32, -48, 144, -120, -6, -8, 84, 0, 112, 54, -204, -4, -10, 91, 70, -48, -34, -138, 74, -8, 114, 39, -136, -61, 296, 9, 16, 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300, -816, 40, -290, 352, 34, 754, 116, -92, -82, 376, -14, 59, -45, -200, 524, -2230, 47, 240, 188, 221, -280, -22, 244, 738, -199, 208, -284, -1528, -32, -1040, 126, -221, 188, -148, -158, 91, 508, 41, 455, 168, 196, 932, -328, 396, 104, -844, 22, 458, -832, -573, -940, -1321, -262, 853, 144, -36, 20, 1258, -169, -362, -379, 1, 118, 697, 96, -453, -280, 32, 650, -946, 71, 2064, -244, -276, 26, -276, -192, 577, -280, 30, -298, -294, -20, -1320], '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

  
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-0.1329084977149199], [-0.3354371867373291, -0.9691821017226372], [-1.2073355045593723, -0.6224247127513401], [-0.02738850339558641, -0.19049122530654], [0.5456062770468164, 0.5877811775606], [-0.2508676746939029, 1.744823002995665], [0.7983053792535387, 0.7611826416490265], [0.07947558060336017, -0.04097250949796764], [-0.7481236446059851, -1.0505926573769864], [0.10577078485094682, 0.4359931134177535], [0.3293515009723146, 0.3800918940019383], [1.2419755822255856, -0.695043372930076], [-0.25649825809560184, -0.0753146839694116], [-1.2217038098103805, 0.11665856928445366], [-0.8017654130285152, 0.41333879854743577], [0.13773334073813723, -0.5677445632503615], [-0.35121940418344355, 0.1406070390758702], [-0.4750502864574598, -1.0402150294025903], [-0.4277040018778866, 0.646319963315747], [0.45124273116873054, -0.2899960945530029], [0.6119303889416076, 0.11793991548672034], [-0.23720529300695767, 0.4108516193123132], [0.25598353521193856, 1.3177454436684202], [-0.6691864146003897, 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-0.3292596420881046, -0.49653751859309225, 0.12909254191609518, -0.3947411347310811, -0.28704448347309075, -0.33000199846432465, -0.45949556770550204, 0.02191890334762701, -0.33894812625025256, -0.4100463220114747, -0.07306987641718304, -0.2694869541115956, -0.4325954929832823, -0.09910955564606755, -0.14393689496685988, -0.23953257428622862, -0.21973454311119245, 0.2902235192136698, -0.22154010406214455, -0.18179999624343268, -0.07032168776108981, -0.45609027594710777], 'char_orbit_index': 25, 'conrey_index': 361, 'dual_conrey_index': 289, 'dual_embedding_index': 13, 'dual_embedding_m': 189, 'embedding_index': 13, 'embedding_m': 237, 'hecke_orbit': 2, 'hecke_orbit_code': 4505248928367075, 'label': '483.2.y.b.361.13', 'level': 483, 'weight': 2}
• 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

  
  {'Nk2': 1932, 'analytic_conductor': 3.8567744176278427, 'char_conductor': 161, 'char_degree': 20, 'char_is_real': False, 'char_orbit_index': 25, 'char_orbit_label': 'y', 'char_order': 33, 'char_parity': 1, 'char_values': [483, 33, [323, 346, 442], [33, 22, 6]], 'conrey_index': 4, 'cusp_dim': 1200, 'dim': 640, 'eis_dim': 160, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 1649300996579, 'hecke_orbit_dims': [320, 320], 'label': '483.2.y', 'level': 483, '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': True, 'level_primes': [3, 7, 23], 'level_radical': 483, 'mf_dim': 1360, 'mf_new_dim': 640, 'num_forms': 2, 'prim_orbit_index': 13, 'relative_dim': 32, 'sturm_bound': 128, 'trace_bound': 3, 'trace_display': [4, 0, -4, 4], 'traces': [640, 4, 0, 36, -4, 0, 4, -24, 32, 8, -4, 0, 0, 8, 0, 0, 8, 4, 8, -144, 0, -32, -44, 0, 0, -28, 0, 132, -40, -8, -4, -36, 8, 16, -44, -28, -28, -196, 0, 36, 32, -106, 80, -146, -4, 0, -4, 32, -72, 356, -44, -216, 24, 0, 32, -102, 72, 14, -92, -20, -52, -96, 4, -168, -40, 16, 0, 12, 16, -72, 16, 12, -24, 2, -16, -32, 8, 0, 52, 122, 32, -152, -80, -8, -368, 64, -12, -250, 32, -16, 56, -396, 24, 194, -134, -20, -16, -56, -36, 56, 180, 56, 28, 40, -50, -508, 0, 0, -10, 96, -64, -160, -240, -36, -16, 292, 0, -64, -224, -336, 24, -88, 66, 148, -168, -36, -108, 104, 24, 84, -20, 8, -38, -248, 0, 32, 4, -8, 104, 140, 64, 88, 70, 44, 152, 480, 32, 232, 90, 32, 102, 424, -16, -4, 184, -40, 38, 186, 44, 816, 392, -8, -18, 248, -108, 180, 104, 228, 176, -240, 8, 182, 90, -344, 556, 176, -112, 200, -212, -16, 144, 664, -32, -264, -4, -312, -50, -380, 0, 0, -276, -8, -108, 136, -472, 364, 240, -6, 48, -288, 24, -228, 444, -112, -20, -12, -44, -604, -416, 80, 152, 326, -20, 64, -420, 0, -160, -176, 8, -328, -12, 28, -16, -544, -132, 296, 78, -108, -368, -56, -20, -80, 296, -28, -100, -644, 0, -512, -428, 24, 34, -148, 0, -56, -100, -184, 140, 408, -48, -588, 160, 52, -520, 148, 76, 212, -352, 32, -308, -464, 20, 72, -344, 104, 72, -440, -100, -24, 22, -52, 136, -136, -24, -360, 28, 108, 196, 232, 8, -740, -36, -80, -6, -96, -36, -424, -24, 28, 88, 282, 88, 424, -192, 376, -168, 308, 8, 256, 352, 1216, 48, 668, 76, 82, 120, 80, -64, 820, 112, 244, 268, 242, 140, 1224, 164, 432, 132, 180, 52, 562, 792, 64, 328, 36, 120, 494, 156, -344, 212, 768, -104, 444, 60, 298, 928, 472, 432, 182, 88, -216, 228, 392, 16, 616, 132, -488, 244, 52, -160, 8, 0, -388, -736, 76, 144, 1048, 82, 1124, -562, 36, -36, -312, 64, -190, 944, 244, -744, 32, -104, 72, -594, 16, -390, -924, -36, -524, -216, 28, 1000, -284, -48, -198, -372, -88, -412, 452, 26, -666, 104, -208, 104, -820, -64, 54, -752, 8, -36, 88, -180, -268, -54, 64, -58, -908, 8, -414, -124, 176, 88, 124, -92, -96, -40, 0, 76, 144, 56, -448, -80, -182, -180, 48, -4, -2, -20, -408, -428, -1168, 56, 254, 198, 72, -472, -732, 128, -160, 0, -140, 240, -1172, -108, -700, 164, 0, 288, 788, -456, -246, -260, -24, 158, 88, 296, 108, -506, 144, 134, -280, 0, 664, -1056, -344, 372, 62, -48, 206, 288, -404, 238, -832, -64, 460, 26, 322, -592, -124, -48, -246, -68, -88, 226, -2048, -264, 1128, -196, 0, -150, 332, -528, 1096, 88, -104, 182, -672, 72, 64, 536, 352, -534, -488, -56, 50, -792, -160, 280, -594, -288, -338, -32, 48, 564, 496, 8, -200, -532, -8, -680, 820, 200, 16, -456, -8, -366, -1232, -260, 232, -660, -532, -236, -16, 8, 168, 792, -324, -162, -430, -36, -644, 388, 40, 132, -348, -32, -472, -96, 56, -788, -626, -52, -502, 76, 48, -692, -740, -140, -160, -100, 48, 40, -736, -168, 144, 62, 174, -900, 160, -8, -860, -72, -168, 80, -40, -248, -468, -980, -268, 230, 326, -24, -72, -220, -740, 280, 860, 92, -396, -64, -388, -860, -116, -40, -428, 148, -32, 24, -1712, -80, 498, 392, -20, 1080, -398, -176, 200, 362, 368, 380, 712, -100, -424, 508, 12, 60, 300, 16, 1082, -156, -72, 504, 832, -8, 1480, 716, -320, 540, 712, 204, 182, 1768, 22, 464, -132, 0, 870, 548, -992, 720, 100, -8, 542, 504, 8, 872, 2170, -104, 74, 264, -32, 616, 2736, 256, 1916, 240, -32, 208, 856, -84, 910, 392, -344, 72, 342, -12, 1056, 1724, -48, 162, 176, -104, -134, 932, 948, 1160, 472, -16, -32, 252, -784, 318, 2160, -228, -564, -20, 16, 1048, 1032, -368, 394, 708, -616, -236, -272, -76, 1028, 356, 100, -208, -868, -20, -136, -896, -44, -448, -1236, 136, -304, 78, -868, 28, 292, -80, -732, -164, 72, -872, 332, 328, 184, -288, 152, -570, -1572, -40, -124, -552, -136, -208, -102, -64, -44, 576, -400, -384, 180, -16, -360, 52, 68, -392, -938, 144, -856, -928, 124, 36, -532, 40, -1192, -674, -616, 402, 890, -230, 794, -408, 40, -648, 488, 524, 40, 372, 880, -224, 248, -14, 298, -346, 272, 176, 32, -600, 362, 666, 42, 196, 68, 392, -224, 224, 996, 132, 924, 24, -176, 360, 160, 318, 50, 78, -1176, -4, 104, -78, 296, 204, 1220, 800, 644, -128, 300, 120, -20, 358, 1472, 152, 1200, 164, -740, 294, 8, -488, 10, 448, -578, 64, 576, 312, 400, 72, 1112, 164, 112, -246, 194, 744, -654, 984, 220, -376, 48, -260, 784, -388, 304, 252, -544, 24, -222, 1280, 300, 780, 180, 262, -6, -326, 8, -524, 2080, 428, -284, 184, -772, -224, -1104, 48, -308, -426, 84, -150, 328, -12, -180, -76, -20, -156, -1536, 48, -36, -464, 652, -322, 526, -168, -8, -980, -160, -368, -424, 80, -1224, 112, -88, -1488, 252, 112, 286, -766, -360, -1096, -116, 40, -324, 692, -628, -496, -2208, 0, 468, -264, 56, -470, -1160, -336, -1116, 192, -60, 804, -600, -52, -1554, -1648, 348, 188, 590, -214, 1112, -1088, 64, 332, 56, -96, 628, -788, -508, -1156, 372, 28, 710, -102, -88, -52, -2236, -20, 740, 572, 200, 496, -662, 240, -24, -416, -72, 156, -2704, -20, -600, -24, -248, 488, 428, -272, 730, -872, -10, 210, 316, 208, 424, -542, 112, -320, -1028, 0, 580, -1440, -660, -600, -510, -668, 942, 96, 0, 20, -500, -304, -420, -144, 344, 476, 878, 240, 142, -572, -64, 420, -1344, -606, 1328, -752, -520, 120, 20, -152, 1286, 1856, -384, -596, -364, 32, -848], '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: 38266458
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 361, 'source_dim': 320, 'source_embedding_index': 13, 'source_hecke_orbit_code': 4505248928367075, 'source_is_minimal': True, 'source_label': '483.2.y.b.361.13', 'source_level': 483, 'target_conrey_index': 361, 'target_dim': 320, 'target_embedding_index': 13, 'target_hecke_orbit_code': 4505248928367075, 'target_is_minimal': True, 'target_label': '483.2.y.b.361.13', 'target_level': 483, 'twist_class_label': '483.2.y.b.16.4', 'twist_class_level': 483, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 38266459
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 361, 'source_dim': 320, 'source_embedding_index': 13, 'source_hecke_orbit_code': 4505248928367075, 'source_is_minimal': True, 'source_label': '483.2.y.b.361.13', 'source_level': 483, 'target_conrey_index': 16, 'target_dim': 320, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4505248928367075, 'target_is_minimal': True, 'target_label': '483.2.y.b.16.4', 'target_level': 483, 'twist_class_label': '483.2.y.b.16.4', 'twist_class_level': 483, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 38266460
    {'conductor': 23, 'degree': 10, 'order': 11, 'parity': 1, 'source_conrey_index': 361, 'source_dim': 320, 'source_embedding_index': 13, 'source_hecke_orbit_code': 4505248928367075, 'source_is_minimal': True, 'source_label': '483.2.y.b.361.13', 'source_level': 483, 'target_conrey_index': 151, 'target_dim': 320, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4505248928367075, 'target_is_minimal': True, 'target_label': '483.2.y.b.151.4', 'target_level': 483, 'twist_class_label': '483.2.y.b.16.4', 'twist_class_level': 483, 'twisting_char_label': '23.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 38266461
    {'conductor': 161, 'degree': 20, 'order': 33, 'parity': 1, 'source_conrey_index': 361, 'source_dim': 320, 'source_embedding_index': 13, 'source_hecke_orbit_code': 4505248928367075, 'source_is_minimal': True, 'source_label': '483.2.y.b.361.13', 'source_level': 483, 'target_conrey_index': 289, 'target_dim': 320, 'target_embedding_index': 13, 'target_hecke_orbit_code': 4505248928367075, 'target_is_minimal': True, 'target_label': '483.2.y.b.289.13', 'target_level': 483, 'twist_class_label': '483.2.y.b.16.4', 'twist_class_level': 483, 'twisting_char_label': '161.128', 'twisting_conrey_index': 128, 'weight': 2}
• hecke_orbit_code 4505248928367075 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': 25, 'hecke_orbit': 2, 'label': '483.2.y.b', 'level': 483, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 24979795
    {'hecke_orbit_code': 4505248928367075, 'n': 1, 'trace_an': 320}
  • id: 24979796
    {'hecke_orbit_code': 4505248928367075, 'n': 2, 'trace_an': 2}
  • id: 24979797
    {'hecke_orbit_code': 4505248928367075, 'n': 3, 'trace_an': 16}
  • id: 24979798
    {'hecke_orbit_code': 4505248928367075, 'n': 4, 'trace_an': 18}
  • id: 24979799
    {'hecke_orbit_code': 4505248928367075, 'n': 5, 'trace_an': -2}
  • id: 24979800
    {'hecke_orbit_code': 4505248928367075, 'n': 6, 'trace_an': 18}
  • id: 24979801
    {'hecke_orbit_code': 4505248928367075, 'n': 7, 'trace_an': 2}
  • id: 24979802
    {'hecke_orbit_code': 4505248928367075, 'n': 8, 'trace_an': -12}
  • id: 24979803
    {'hecke_orbit_code': 4505248928367075, 'n': 9, 'trace_an': 16}
  • id: 24979804
    {'hecke_orbit_code': 4505248928367075, 'n': 10, 'trace_an': 0}
  • id: 24979805
    {'hecke_orbit_code': 4505248928367075, 'n': 11, 'trace_an': 2}
  • id: 24979806
    {'hecke_orbit_code': 4505248928367075, 'n': 12, 'trace_an': 18}
  • id: 24979807
    {'hecke_orbit_code': 4505248928367075, 'n': 13, 'trace_an': 0}
  • id: 24979808
    {'hecke_orbit_code': 4505248928367075, 'n': 14, 'trace_an': 18}
  • id: 24979809
    {'hecke_orbit_code': 4505248928367075, 'n': 15, 'trace_an': -18}
  • id: 24979810
    {'hecke_orbit_code': 4505248928367075, 'n': 16, 'trace_an': -8}
  • id: 24979811
    {'hecke_orbit_code': 4505248928367075, 'n': 17, 'trace_an': 4}
  • id: 24979812
    {'hecke_orbit_code': 4505248928367075, 'n': 18, 'trace_an': 2}
  • id: 24979813
    {'hecke_orbit_code': 4505248928367075, 'n': 19, 'trace_an': 8}
  • id: 24979814
    {'hecke_orbit_code': 4505248928367075, 'n': 20, 'trace_an': -162}
  • id: 24979815
    {'hecke_orbit_code': 4505248928367075, 'n': 21, 'trace_an': -4}
  • id: 24979816
    {'hecke_orbit_code': 4505248928367075, 'n': 22, 'trace_an': 144}
  • id: 24979817
    {'hecke_orbit_code': 4505248928367075, 'n': 23, 'trace_an': -26}
  • id: 24979818
    {'hecke_orbit_code': 4505248928367075, 'n': 24, 'trace_an': 6}
  • id: 24979819
    {'hecke_orbit_code': 4505248928367075, 'n': 25, 'trace_an': -8}
  • id: 24979820
    {'hecke_orbit_code': 4505248928367075, 'n': 26, 'trace_an': -14}
  • id: 24979821
    {'hecke_orbit_code': 4505248928367075, 'n': 27, 'trace_an': -32}
  • id: 24979822
    {'hecke_orbit_code': 4505248928367075, 'n': 28, 'trace_an': 86}
  • id: 24979823
    {'hecke_orbit_code': 4505248928367075, 'n': 29, 'trace_an': -74}
  • id: 24979824
    {'hecke_orbit_code': 4505248928367075, 'n': 30, 'trace_an': 0}
  • id: 24979825
    {'hecke_orbit_code': 4505248928367075, 'n': 31, 'trace_an': -56}
  • id: 24979826
    {'hecke_orbit_code': 4505248928367075, 'n': 32, 'trace_an': -28}
  • id: 24979827
    {'hecke_orbit_code': 4505248928367075, 'n': 33, 'trace_an': 13}
  • id: 24979828
    {'hecke_orbit_code': 4505248928367075, 'n': 34, 'trace_an': 40}
  • id: 24979829
    {'hecke_orbit_code': 4505248928367075, 'n': 35, 'trace_an': -32}
  • id: 24979830
    {'hecke_orbit_code': 4505248928367075, 'n': 36, 'trace_an': -14}
  • id: 24979831
    {'hecke_orbit_code': 4505248928367075, 'n': 37, 'trace_an': 2}
  • id: 24979832
    {'hecke_orbit_code': 4505248928367075, 'n': 38, 'trace_an': -39}
  • id: 24979833
    {'hecke_orbit_code': 4505248928367075, 'n': 39, 'trace_an': 0}
  • id: 24979834
    {'hecke_orbit_code': 4505248928367075, 'n': 40, 'trace_an': -52}
  • id: 24979835
    {'hecke_orbit_code': 4505248928367075, 'n': 41, 'trace_an': 60}
  • id: 24979836
    {'hecke_orbit_code': 4505248928367075, 'n': 42, 'trace_an': -61}
  • id: 24979837
    {'hecke_orbit_code': 4505248928367075, 'n': 43, 'trace_an': 16}
  • id: 24979838
    {'hecke_orbit_code': 4505248928367075, 'n': 44, 'trace_an': -75}
  • id: 24979839
    {'hecke_orbit_code': 4505248928367075, 'n': 45, 'trace_an': -2}
  • id: 24979840
    {'hecke_orbit_code': 4505248928367075, 'n': 46, 'trace_an': -4}
  • id: 24979841
    {'hecke_orbit_code': 4505248928367075, 'n': 47, 'trace_an': -40}
  • id: 24979842
    {'hecke_orbit_code': 4505248928367075, 'n': 48, 'trace_an': -28}
  • id: 24979843
    {'hecke_orbit_code': 4505248928367075, 'n': 49, 'trace_an': -100}
  • id: 24979844
    {'hecke_orbit_code': 4505248928367075, 'n': 50, 'trace_an': 146}
  • id: 24979845
    {'hecke_orbit_code': 4505248928367075, 'n': 51, 'trace_an': -18}
  • id: 24979846
    {'hecke_orbit_code': 4505248928367075, 'n': 52, 'trace_an': -18}
  • id: 24979847
    {'hecke_orbit_code': 4505248928367075, 'n': 53, 'trace_an': 34}
  • id: 24979848
    {'hecke_orbit_code': 4505248928367075, 'n': 54, 'trace_an': 2}
  • id: 24979849
    {'hecke_orbit_code': 4505248928367075, 'n': 55, 'trace_an': 36}
  • id: 24979850
    {'hecke_orbit_code': 4505248928367075, 'n': 56, 'trace_an': -102}
  • id: 24979851
    {'hecke_orbit_code': 4505248928367075, 'n': 57, 'trace_an': 28}
  • id: 24979852
    {'hecke_orbit_code': 4505248928367075, 'n': 58, 'trace_an': -17}
  • id: 24979853
    {'hecke_orbit_code': 4505248928367075, 'n': 59, 'trace_an': -102}
  • id: 24979854
    {'hecke_orbit_code': 4505248928367075, 'n': 60, 'trace_an': -18}
  • id: 24979855
    {'hecke_orbit_code': 4505248928367075, 'n': 61, 'trace_an': -18}
  • id: 24979856
    {'hecke_orbit_code': 4505248928367075, 'n': 62, 'trace_an': -88}
  • id: 24979857
    {'hecke_orbit_code': 4505248928367075, 'n': 63, 'trace_an': 2}
  • id: 24979858
    {'hecke_orbit_code': 4505248928367075, 'n': 64, 'trace_an': -252}
  • id: 24979859
    {'hecke_orbit_code': 4505248928367075, 'n': 65, 'trace_an': -78}
  • id: 24979860
    {'hecke_orbit_code': 4505248928367075, 'n': 66, 'trace_an': 16}
  • id: 24979861
    {'hecke_orbit_code': 4505248928367075, 'n': 67, 'trace_an': 12}
  • id: 24979862
    {'hecke_orbit_code': 4505248928367075, 'n': 68, 'trace_an': 34}
  • id: 24979863
    {'hecke_orbit_code': 4505248928367075, 'n': 69, 'trace_an': 8}
  • id: 24979864
    {'hecke_orbit_code': 4505248928367075, 'n': 70, 'trace_an': 264}
  • id: 24979865
    {'hecke_orbit_code': 4505248928367075, 'n': 71, 'trace_an': 160}
  • id: 24979866
    {'hecke_orbit_code': 4505248928367075, 'n': 72, 'trace_an': 6}
  • id: 24979867
    {'hecke_orbit_code': 4505248928367075, 'n': 73, 'trace_an': -8}
  • id: 24979868
    {'hecke_orbit_code': 4505248928367075, 'n': 74, 'trace_an': 70}
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  • id: 24979875
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  • id: 24979890
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  • id: 24979902
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  • id: 24979903
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  • id: 24979911
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  • id: 24979912
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  • id: 24979964
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  • id: 24979965
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  • id: 24979966
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  • id: 24979967
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  • id: 24979968
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  • id: 24979970
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  • id: 24979971
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  • id: 24979972
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  • id: 24979973
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  • id: 24979974
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  • id: 24979975
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  • id: 24979976
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  • id: 24979981
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  • id: 24979984
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  • id: 24979989
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  • id: 24979990
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  • id: 24979991
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  • id: 24979992
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  • id: 24979993
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  • id: 24979994
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  • id: 24979995
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  • id: 24979997
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  • id: 24979998
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  • id: 24979999
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  • id: 24980000
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  • id: 24980003
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  • id: 24980004
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  • id: 24980005
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  • id: 24980007
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  • id: 24980008
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  • id: 24980009
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  • id: 24980010
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  • id: 24980011
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  • id: 24980012
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  • id: 24980016
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  • id: 24980017
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  • id: 24980018
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  • id: 24980020
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  • id: 24980021
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  • id: 24980022
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  • id: 24980052
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