Newform data - 1100.2.q.b

Formats: - HTML - YAML - JSON - 2025-12-07T15:15:29.950027

• 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': 4400, 'analytic_conductor': 8.783544222340842, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 25, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 5, 'char_parity': 1, 'char_values': [1100, 5, [551, 177, 101], [5, 3, 5]], 'cm_discs': [], 'conrey_index': 221, 'dim': 52, 'has_non_self_twist': 1, 'hecke_orbit': 2, 'hecke_orbit_code': 4504699172553804, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 25, 4, 1, 5, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1100.2.q.b', 'level': 1100, '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, 5, 11], 'level_radical': 110, 'minimal_twist': '1100.2.q.b', 'prim_orbit_index': 4, 'related_objects': [], 'relative_dim': 13, 'rm_discs': [], 'sato_tate_group': '1.2.3.c5', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1100.2.q', 'trace_display': [0, 0, -3, 0], 'traces': [52, 0, 0, 0, -3, 0, 0, 0, -9, 0, 13, 0, 12, 0, -15, 0, 8, 0, -10, 0, -6, 0, 22, 0, 5, 0, 21, 0, 12, 0, -12, 0, 0, 0, 30, 0, 15, 0, -20, 0, 0, 0, -68, 0, -7, 0, 19, 0, 68, 0, 34, 0, 3, 0, -2, 0, -24, 0, -37, 0, 10, 0, -8, 0, 12, 0, 2, 0, 27, 0, -3, 0, 4, 0, 68, 0, 0, 0, -17, 0, -39, 0, 78, 0, 13, 0, 13, 0, -7, 0, -2, 0, -94, 0, 18, 0, 15, 0, -56, 0, 2, 0, -20, 0, -42, 0, -40, 0, 6, 0, 28, 0, 34, 0, -28, 0, -7, 0, -41, 0, -13, 0, 92, 0, 21, 0, -22, 0, -37, 0, -4, 0, 12, 0, 46, 0, 71, 0, -49, 0, -9, 0, -12, 0, -29, 0, -71, 0, 30, 0, 126, 0, 74, 0, -153, 0, -60, 0, 50, 0, -78, 0, -11, 0, -5, 0, 29, 0, -59, 0, -50, 0, 49, 0, -29, 0, -110, 0, -14, 0, 79, 0, 182, 0, 160, 0, 17, 0, 73, 0, -32, 0, -98, 0, -105, 0, 28, 0, 148, 0, 46, 0, 11, 0, -76, 0, -56, 0, 10, 0, -25, 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22, 0, -61, 0, 80, 0, -22, 0, -133, 0, -258, 0, -239, 0, 12, 0, 170, 0, 250, 0, 116, 0, 198, 0, -78, 0, -40, 0, 22, 0, -23, 0, 260, 0, 102, 0, -56, 0, -8, 0, -100, 0, 183, 0, -224, 0, 121, 0, 30, 0, -19, 0, -63, 0, 150, 0, 93, 0, 124, 0, -70, 0, -17, 0, -28, 0, 19, 0, 65, 0, 398, 0, 17, 0, -162, 0, -258, 0, -124, 0, 261, 0, 140, 0, 222, 0, 99, 0, -34, 0, -28, 0, -79, 0, -19, 0, 158, 0, -96, 0, -63, 0, -131, 0, -18, 0, 164, 0, 188, 0, -133, 0, -72, 0, 161, 0, -3, 0, 683, 0, 271, 0, 128, 0, -181, 0, -174, 0, -109, 0, 105, 0, 130, 0, 224, 0, 81, 0, -3, 0, -158, 0, 279, 0, -76, 0, 117, 0, 197, 0, -128, 0, -123, 0, 362, 0, 235, 0, -127, 0, -61, 0, -145, 0, 41, 0, 30, 0, -7, 0, 282, 0, -57, 0, -109, 0, 22, 0, -104, 0, 166, 0, -38, 0, 58, 0, 136, 0, 225, 0, -570, 0, -30, 0, -81, 0, -142, 0, 167, 0, -276, 0, -145, 0, 15, 0, -170, 0, -94, 0, 106, 0, -96, 0, 199, 0, 129, 0, 326, 0, 329, 0, 171, 0, -90, 0, -182, 0, -269, 0, 60, 0, 372, 0, -26, 0, -211, 0, -528, 0, -134, 0, 160, 0, -77, 0, 88, 0, 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0, -33, 0, -80, 0, -203, 0, 128, 0, -297, 0, 318, 0, -137, 0, -13, 0, 190, 0, 119, 0, 343, 0, 412, 0, 154, 0, 68, 0, -682, 0, -139, 0, -3, 0, 416, 0, -68, 0, 64, 0, -453, 0, -648, 0, -8, 0, -218, 0, 193, 0, 231, 0, 409, 0, 3, 0, -275, 0, 34, 0, -126, 0, -77, 0, -368, 0, 30, 0, -140, 0, 289, 0, 198, 0, 45, 0, -100, 0, -496, 0, 2, 0, -51, 0, -112, 0, 616, 0, -311, 0, -95, 0, 372, 0, -271, 0, -247, 0, 77, 0, -4, 0, -15, 0, -185, 0, 71, 0, -13, 0, -148, 0, -68, 0, -85, 0, -155, 0, 99, 0, 382, 0, 48, 0, -9, 0, -3, 0, -506, 0, -564, 0, 14, 0, 572, 0, 4, 0, 63, 0, -272, 0, -104, 0, 173, 0, 28, 0, 282, 0, -106, 0, -89, 0, -341, 0, 217, 0, 82, 0, 240, 0, -149, 0, 108, 0, 89, 0, 20, 0, 258, 0, 482, 0, -16, 0, -140, 0, -368, 0, 67, 0, 379, 0, -146, 0, 146, 0, 98, 0, -148, 0, -18, 0, -157, 0, -566, 0, -311, 0, -110, 0, 40, 0, 2, 0, 184, 0, 256, 0, 44, 0, -65, 0, 64, 0, 265, 0, 315, 0, 392, 0, 209, 0, 10, 0, 79, 0, -208, 0, 58, 0, -337, 0, -6, 0, 54, 0, 4, 0, 94, 0, -350, 0, 363, 0, 85, 0, 277, 0, 163, 0, 55, 0, 21, 0, 62, 0, 229, 0, -287, 0, 195, 0, -270, 0, -68, 0, 70, 0, 163, 0, 21, 0, 37, 0, -231, 0, -54, 0, -357, 0, 113, 0, 348, 0, 566, 0, -154, 0, -216, 0, -82, 0, 150, 0, -16, 0, -150, 0, 3, 0, -251, 0, -92, 0, -128, 0, -179, 0, 331, 0, -306, 0, 101, 0, 350, 0, 75, 0, 633, 0, -13, 0, 214, 0, -58, 0, -294, 0, -83, 0, -51, 0, -110, 0, -296, 0, -190, 0, -869, 0, -292, 0, -19, 0, -267, 0, 432, 0, 43, 0, 318, 0, -204, 0, 49, 0, 584, 0, -30, 0, -118, 0, -157, 0, 13, 0, 126, 0, 280, 0, 138, 0, -182, 0, -160, 0, -904, 0, 27, 0, -30, 0, 92, 0, 634, 0, 118, 0, -269, 0, 336, 0, 126, 0, 94, 0, -69, 0, -247, 0, -157, 0, -268, 0, -215, 0, 203, 0, 9, 0, -432, 0, 117, 0, 89, 0, 221, 0, 345, 0, 110, 0, -305, 0, -513, 0, -520, 0, 32, 0, -58, 0, 204, 0, -96, 0, -172, 0, 59, 0, -576, 0, 160, 0, 76, 0, 510, 0, 15, 0, 181, 0, 37, 0, 335, 0, 19, 0, -295, 0, -108, 0, -97, 0, -188, 0, -31, 0, 339, 0, 169, 0, 153, 0, 29, 0, -604, 0, -26, 0, 284, 0, 262, 0, 28, 0, 346, 0, -513, 0, -48, 0, -202, 0, 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0, -158, 0, 256, 0, 468, 0, -305, 0, -196, 0, 17, 0, -239, 0, -360, 0, 14, 0, 12, 0, 20, 0, -86, 0, -78, 0, -377, 0, 184, 0, -23, 0, 153, 0, 155, 0, 281, 0, 31, 0, 328, 0, -140, 0, 63, 0, 488, 0], 'weight': 2, 'weight_parity': 1}
• label 1100.2.q.b does not appear in mf_hecke_nf
• 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': 4400, 'analytic_conductor': 8.783544222340842, 'char_conductor': 25, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 5, 'char_parity': 1, 'char_values': [1100, 5, [551, 177, 101], [5, 3, 5]], 'conrey_index': 221, 'cusp_dim': 696, 'dim': 96, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_orbit_code': 1099545183308, 'hecke_orbit_dims': [44, 52], 'label': '1100.2.q', 'level': 1100, '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, 5, 11], 'level_radical': 110, 'mf_dim': 744, 'mf_new_dim': 96, 'num_forms': 2, 'prim_orbit_index': 4, 'relative_dim': 24, 'sturm_bound': 360, 'trace_bound': 1, 'trace_display': [0, -2, 6, 0], 'traces': [96, 0, -2, 0, 6, 0, 0, 0, -22, 0, 2, 0, 12, 0, -37, 0, -8, 0, 0, 0, -12, 0, 26, 0, 14, 0, 55, 0, 24, 0, -6, 0, -2, 0, 10, 0, -24, 0, -24, 0, 12, 0, -72, 0, -8, 0, 34, 0, 64, 0, 4, 0, -14, 0, -3, 0, -16, 0, -9, 0, 20, 0, -28, 0, 32, 0, 25, 0, 77, 0, 8, 0, -12, 0, 71, 0, 0, 0, 16, 0, -33, 0, 76, 0, -48, 0, -66, 0, -16, 0, 60, 0, 16, 0, 12, 0, 24, 0, -34, 0, -20, 0, -30, 0, 88, 0, -88, 0, -4, 0, 103, 0, -10, 0, -59, 0, -32, 0, -10, 0, -24, 0, 32, 0, 30, 0, 58, 0, 28, 0, -12, 0, -8, 0, -55, 0, -16, 0, -66, 0, 54, 0, -12, 0, -36, 0, -152, 0, 28, 0, 36, 0, -32, 0, -193, 0, -46, 0, 48, 0, 30, 0, -12, 0, -7, 0, 16, 0, -52, 0, -108, 0, 18, 0, 6, 0, -62, 0, 73, 0, 76, 0, 120, 0, 11, 0, 16, 0, 74, 0, -2, 0, 68, 0, -60, 0, 56, 0, 36, 0, -62, 0, -14, 0, -66, 0, 78, 0, 20, 0, 40, 0, 118, 0, 28, 0, -28, 0, 32, 0, -26, 0, 57, 0, -54, 0, -106, 0, -67, 0, 0, 0, -6, 0, 144, 0, 38, 0, 40, 0, -102, 0, -382, 0, -16, 0, -152, 0, -68, 0, -106, 0, 27, 0, -124, 0, 32, 0, -116, 0, -142, 0, 90, 0, -14, 0, 8, 0, -48, 0, -54, 0, -162, 0, -1, 0, -94, 0, 21, 0, 26, 0, 12, 0, 114, 0, 4, 0, -48, 0, -38, 0, -12, 0, 70, 0, -12, 0, -88, 0, 0, 0, -200, 0, 210, 0, 20, 0, 1, 0, 0, 0, 92, 0, 2, 0, -62, 0, 0, 0, 78, 0, -32, 0, -100, 0, 58, 0, -70, 0, -131, 0, -225, 0, 65, 0, 54, 0, 24, 0, 43, 0, -72, 0, -8, 0, 94, 0, 112, 0, 260, 0, 230, 0, -127, 0, -184, 0, 76, 0, -56, 0, 3, 0, 168, 0, 73, 0, -310, 0, 156, 0, -28, 0, 112, 0, -4, 0, -82, 0, 34, 0, 50, 0, 50, 0, -2, 0, 175, 0, -116, 0, 276, 0, 36, 0, -44, 0, 296, 0, -124, 0, 222, 0, 195, 0, 96, 0, 18, 0, 3, 0, -50, 0, -34, 0, 94, 0, 132, 0, 14, 0, -256, 0, 30, 0, -86, 0, 16, 0, 156, 0, -100, 0, -46, 0, -62, 0, 62, 0, 2, 0, -326, 0, -219, 0, 10, 0, -178, 0, -48, 0, 58, 0, -90, 0, -352, 0, 16, 0, -98, 0, -16, 0, -44, 0, 74, 0, 44, 0, 16, 0, -16, 0, -204, 0, -225, 0, -192, 0, -68, 0, -30, 0, -11, 0, -54, 0, 140, 0, 16, 0, 248, 0, 51, 0, -38, 0, 164, 0, 188, 0, -36, 0, 148, 0, 506, 0, 16, 0, -252, 0, -70, 0, -25, 0, -4, 0, -216, 0, 161, 0, 120, 0, 94, 0, 70, 0, 66, 0, -142, 0, -26, 0, -48, 0, 168, 0, 18, 0, -174, 0, 90, 0, 12, 0, 130, 0, 240, 0, -52, 0, 14, 0, 83, 0, 184, 0, -42, 0, 16, 0, 284, 0, -75, 0, 52, 0, -10, 0, -80, 0, 224, 0, 27, 0, 59, 0, 112, 0, 94, 0, -20, 0, 378, 0, 116, 0, 12, 0, -28, 0, 24, 0, 246, 0, 197, 0, 40, 0, 124, 0, 179, 0, -9, 0, -56, 0, 214, 0, 2, 0, -218, 0, 32, 0, -348, 0, 4, 0, 349, 0, 220, 0, 22, 0, -108, 0, -34, 0, 81, 0, -6, 0, -162, 0, 192, 0, -128, 0, 149, 0, 438, 0, 158, 0, 105, 0, -110, 0, 28, 0, 150, 0, 380, 0, -556, 0, -144, 0, 120, 0, -152, 0, 62, 0, -208, 0, 125, 0, 0, 0, -102, 0, -270, 0, 254, 0, -18, 0, 102, 0, -76, 0, -31, 0, 98, 0, -64, 0, -38, 0, -212, 0, -94, 0, 20, 0, 428, 0, -64, 0, -370, 0, -668, 0, 276, 0, 175, 0, 110, 0, -157, 0, 8, 0, 326, 0, -49, 0, -28, 0, 242, 0, -246, 0, -251, 0, 35, 0, 24, 0, 72, 0, -117, 0, -14, 0, -2, 0, -128, 0, 216, 0, -290, 0, 262, 0, -276, 0, -34, 0, -50, 0, -282, 0, -144, 0, -32, 0, -142, 0, 2, 0, 328, 0, -344, 0, 20, 0, -345, 0, 156, 0, 47, 0, -342, 0, -82, 0, 14, 0, 142, 0, -81, 0, 122, 0, -6, 0, -356, 0, -244, 0, 136, 0, -95, 0, -208, 0, -56, 0, 30, 0, 68, 0, -100, 0, -44, 0, -92, 0, -166, 0, 183, 0, 8, 0, -42, 0, 56, 0, -163, 0, -5, 0, -34, 0, -90, 0, 88, 0, 218, 0, -124, 0, 23, 0, 6, 0, -72, 0, -404, 0, -11, 0, 0, 0, 100, 0, -50, 0, -308, 0, 490, 0, -312, 0, 77, 0, 306, 0, 178, 0, -162, 0, 100, 0, 50, 0, 228, 0, 37, 0, -112, 0, 194, 0, -362, 0, 18, 0, -36, 0, 443, 0, 46, 0, -106, 0, 15, 0, -96, 0, -177, 0, 464, 0, 304, 0, 344, 0, 226, 0, 57, 0, -200, 0, -420, 0, -178, 0, 80, 0, -330, 0, -248, 0, -148, 0, -134, 0, -138, 0, 273, 0, -67, 0, -156, 0, -230, 0, 151, 0, 46, 0, -32, 0, -358, 0, -66, 0, 396, 0, -384, 0, 92, 0, -256, 0, 72, 0, 264, 0, 91, 0, 168, 0, 212, 0, -30, 0, -162, 0, -72, 0, 182, 0, 190, 0, 62, 0, -322, 0, 308, 0, 172, 0, 43, 0, 12, 0, 121, 0, -204, 0, 262, 0, -110, 0, 246, 0, -554, 0, -78, 0, -194, 0, 154, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 646713
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 17, 'source_dim': 52, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1100.2.q.b', 'source_level': 1100, 'target_char_orbit': 17, 'target_dim': 52, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1100.2.q.b', 'target_level': 1100, 'twist_class_label': '1100.2.q.b', 'twist_class_level': 1100, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 646714
    {'conductor': 25, 'degree': 4, 'multiplicity': 1, 'order': 5, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 52, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '1100.2.q.b', 'source_level': 1100, 'target_char_orbit': 17, 'target_dim': 52, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1100.2.q.b', 'target_level': 1100, 'twist_class_label': '1100.2.q.b', 'twist_class_level': 1100, 'twisting_char_label': '25.d', 'twisting_char_orbit': 4, 'weight': 2}
• hecke_orbit_code 4504699172553804 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': 17, 'hecke_orbit': 2, 'label': '1100.2.q.b', 'level': 1100, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 24459667
    {'hecke_orbit_code': 4504699172553804, 'n': 1, 'trace_an': 52}
  • id: 24459668
    {'hecke_orbit_code': 4504699172553804, 'n': 2, 'trace_an': 0}
  • id: 24459669
    {'hecke_orbit_code': 4504699172553804, 'n': 3, 'trace_an': 0}
  • id: 24459670
    {'hecke_orbit_code': 4504699172553804, 'n': 4, 'trace_an': 0}
  • id: 24459671
    {'hecke_orbit_code': 4504699172553804, 'n': 5, 'trace_an': -3}
  • id: 24459672
    {'hecke_orbit_code': 4504699172553804, 'n': 6, 'trace_an': 0}
  • id: 24459673
    {'hecke_orbit_code': 4504699172553804, 'n': 7, 'trace_an': 0}
  • id: 24459674
    {'hecke_orbit_code': 4504699172553804, 'n': 8, 'trace_an': 0}
  • id: 24459675
    {'hecke_orbit_code': 4504699172553804, 'n': 9, 'trace_an': -9}
  • id: 24459676
    {'hecke_orbit_code': 4504699172553804, 'n': 10, 'trace_an': 0}
  • id: 24459677
    {'hecke_orbit_code': 4504699172553804, 'n': 11, 'trace_an': 13}
  • id: 24459678
    {'hecke_orbit_code': 4504699172553804, 'n': 12, 'trace_an': 0}
  • id: 24459679
    {'hecke_orbit_code': 4504699172553804, 'n': 13, 'trace_an': 12}
  • id: 24459680
    {'hecke_orbit_code': 4504699172553804, 'n': 14, 'trace_an': 0}
  • id: 24459681
    {'hecke_orbit_code': 4504699172553804, 'n': 15, 'trace_an': -15}
  • id: 24459682
    {'hecke_orbit_code': 4504699172553804, 'n': 16, 'trace_an': 0}
  • id: 24459683
    {'hecke_orbit_code': 4504699172553804, 'n': 17, 'trace_an': 8}
  • id: 24459684
    {'hecke_orbit_code': 4504699172553804, 'n': 18, 'trace_an': 0}
  • id: 24459685
    {'hecke_orbit_code': 4504699172553804, 'n': 19, 'trace_an': -10}
  • id: 24459686
    {'hecke_orbit_code': 4504699172553804, 'n': 20, 'trace_an': 0}
  • id: 24459687
    {'hecke_orbit_code': 4504699172553804, 'n': 21, 'trace_an': -6}
  • id: 24459688
    {'hecke_orbit_code': 4504699172553804, 'n': 22, 'trace_an': 0}
  • id: 24459689
    {'hecke_orbit_code': 4504699172553804, 'n': 23, 'trace_an': 22}
  • id: 24459690
    {'hecke_orbit_code': 4504699172553804, 'n': 24, 'trace_an': 0}
  • id: 24459691
    {'hecke_orbit_code': 4504699172553804, 'n': 25, 'trace_an': 5}
  • id: 24459692
    {'hecke_orbit_code': 4504699172553804, 'n': 26, 'trace_an': 0}
  • id: 24459693
    {'hecke_orbit_code': 4504699172553804, 'n': 27, 'trace_an': 21}
  • id: 24459694
    {'hecke_orbit_code': 4504699172553804, 'n': 28, 'trace_an': 0}
  • id: 24459695
    {'hecke_orbit_code': 4504699172553804, 'n': 29, 'trace_an': 12}
  • id: 24459696
    {'hecke_orbit_code': 4504699172553804, 'n': 30, 'trace_an': 0}
  • id: 24459697
    {'hecke_orbit_code': 4504699172553804, 'n': 31, 'trace_an': -12}
  • id: 24459698
    {'hecke_orbit_code': 4504699172553804, 'n': 32, 'trace_an': 0}
  • id: 24459699
    {'hecke_orbit_code': 4504699172553804, 'n': 33, 'trace_an': 0}
  • id: 24459700
    {'hecke_orbit_code': 4504699172553804, 'n': 34, 'trace_an': 0}
  • id: 24459701
    {'hecke_orbit_code': 4504699172553804, 'n': 35, 'trace_an': 30}
  • id: 24459702
    {'hecke_orbit_code': 4504699172553804, 'n': 36, 'trace_an': 0}
  • id: 24459703
    {'hecke_orbit_code': 4504699172553804, 'n': 37, 'trace_an': 15}
  • id: 24459704
    {'hecke_orbit_code': 4504699172553804, 'n': 38, 'trace_an': 0}
  • id: 24459705
    {'hecke_orbit_code': 4504699172553804, 'n': 39, 'trace_an': -20}
  • id: 24459706
    {'hecke_orbit_code': 4504699172553804, 'n': 40, 'trace_an': 0}
  • id: 24459707
    {'hecke_orbit_code': 4504699172553804, 'n': 41, 'trace_an': 0}
  • id: 24459708
    {'hecke_orbit_code': 4504699172553804, 'n': 42, 'trace_an': 0}
  • id: 24459709
    {'hecke_orbit_code': 4504699172553804, 'n': 43, 'trace_an': -68}
  • id: 24459710
    {'hecke_orbit_code': 4504699172553804, 'n': 44, 'trace_an': 0}
  • id: 24459711
    {'hecke_orbit_code': 4504699172553804, 'n': 45, 'trace_an': -7}
  • id: 24459712
    {'hecke_orbit_code': 4504699172553804, 'n': 46, 'trace_an': 0}
  • id: 24459713
    {'hecke_orbit_code': 4504699172553804, 'n': 47, 'trace_an': 19}
  • id: 24459714
    {'hecke_orbit_code': 4504699172553804, 'n': 48, 'trace_an': 0}
  • id: 24459715
    {'hecke_orbit_code': 4504699172553804, 'n': 49, 'trace_an': 68}
  • id: 24459716
    {'hecke_orbit_code': 4504699172553804, 'n': 50, 'trace_an': 0}
  • id: 24459717
    {'hecke_orbit_code': 4504699172553804, 'n': 51, 'trace_an': 34}
  • id: 24459718
    {'hecke_orbit_code': 4504699172553804, 'n': 52, 'trace_an': 0}
  • id: 24459719
    {'hecke_orbit_code': 4504699172553804, 'n': 53, 'trace_an': 3}
  • id: 24459720
    {'hecke_orbit_code': 4504699172553804, 'n': 54, 'trace_an': 0}
  • id: 24459721
    {'hecke_orbit_code': 4504699172553804, 'n': 55, 'trace_an': -2}
  • id: 24459722
    {'hecke_orbit_code': 4504699172553804, 'n': 56, 'trace_an': 0}
  • id: 24459723
    {'hecke_orbit_code': 4504699172553804, 'n': 57, 'trace_an': -24}
  • id: 24459724
    {'hecke_orbit_code': 4504699172553804, 'n': 58, 'trace_an': 0}
  • id: 24459725
    {'hecke_orbit_code': 4504699172553804, 'n': 59, 'trace_an': -37}
  • id: 24459726
    {'hecke_orbit_code': 4504699172553804, 'n': 60, 'trace_an': 0}
  • id: 24459727
    {'hecke_orbit_code': 4504699172553804, 'n': 61, 'trace_an': 10}
  • id: 24459728
    {'hecke_orbit_code': 4504699172553804, 'n': 62, 'trace_an': 0}
  • id: 24459729
    {'hecke_orbit_code': 4504699172553804, 'n': 63, 'trace_an': -8}
  • id: 24459730
    {'hecke_orbit_code': 4504699172553804, 'n': 64, 'trace_an': 0}
  • id: 24459731
    {'hecke_orbit_code': 4504699172553804, 'n': 65, 'trace_an': 12}
  • id: 24459732
    {'hecke_orbit_code': 4504699172553804, 'n': 66, 'trace_an': 0}
  • id: 24459733
    {'hecke_orbit_code': 4504699172553804, 'n': 67, 'trace_an': 2}
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  • id: 24459735
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  • id: 24459736
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  • id: 24459737
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  • id: 24459738
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  • id: 24459739
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  • id: 24459740
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  • id: 24459741
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  • id: 24459742
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  • id: 24459743
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  • id: 24459744
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  • id: 24459745
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  • id: 24459746
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  • id: 24459747
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  • id: 24459748
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  • id: 24459749
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  • id: 24459750
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  • id: 24459751
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  • id: 24459753
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  • id: 24459788
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  • id: 24459803
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  • id: 24459807
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  • id: 24459808
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  • id: 24459809
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  • id: 24459810
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  • id: 24459811
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  • id: 24459812
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  • id: 24459813
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  • id: 24459814
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  • id: 24459815
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  • id: 24459816
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  • id: 24459817
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  • id: 24459818
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  • id: 24459819
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  • id: 24459820
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  • id: 24459821
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  • id: 24459822
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  • id: 24459823
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  • id: 24459824
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  • id: 24459825
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  • id: 24459826
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  • id: 24459827
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  • id: 24459828
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  • id: 24459829
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  • id: 24459830
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  • id: 24459831
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  • id: 24459832
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  • id: 24459833
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  • id: 24459834
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  • id: 24459835
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  • id: 24459836
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  • id: 24459837
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  • id: 24459838
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  • id: 24459839
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  • id: 24459840
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  • id: 24459841
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  • id: 24459842
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  • id: 24459843
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  • id: 24459844
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  • id: 24459845
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  • id: 24459846
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  • id: 24459847
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  • id: 24459848
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  • id: 24459849
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  • id: 24459850
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  • id: 24459851
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  • id: 24459852
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  • id: 24459853
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  • id: 24459854
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  • id: 24459855
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  • id: 24459856
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  • id: 24459858
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  • id: 24459859
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  • id: 24459860
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  • id: 24459861
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  • id: 24459862
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  • id: 24459863
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  • id: 24459864
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  • id: 24459865
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  • id: 24459866
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  • id: 24459867
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  • id: 24459868
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  • id: 24459869
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  • id: 24459870
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  • id: 24459871
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  • id: 24459872
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  • id: 24459873
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  • id: 24459874
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  • id: 24459875
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  • id: 24459876
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  • id: 24459877
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  • id: 24459878
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  • id: 24459879
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  • id: 24459880
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  • id: 24459881
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  • id: 24459882
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  • id: 24459883
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  • id: 24459884
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  • id: 24459885
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  • id: 24459886
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  • id: 24459887
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  • id: 24459888
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  • id: 24459889
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  • id: 24459890
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  • id: 24459891
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  • id: 24459892
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  • id: 24459893
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  • id: 24459894
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  • id: 24459895
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  • id: 24459896
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  • id: 24459897
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  • id: 24459899
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  • id: 24459900
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  • id: 24459901
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  • id: 24459902
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  • id: 24459903
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  • id: 24459904
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  • id: 24459905
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  • id: 24459906
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  • id: 24459907
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  • id: 24459908
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  • id: 24459909
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  • id: 24459910
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  • id: 24459911
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  • id: 24459912
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  • id: 24459913
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  • id: 24459914
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  • id: 24459915
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  • id: 24459916
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  • id: 24459917
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  • id: 24459918
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  • id: 24459919
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  • id: 24459920
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  • id: 24459921
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  • id: 24459922
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  • id: 24459923
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  • id: 24459924
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