Embedded newform data - 2008.2.a.d.1.17

Formats: - HTML - YAML - JSON - 2024-06-04T09:00:22.223603

• 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': 8032, 'analytic_conductor': 16.0339607258731, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [251, 1]], 'atkin_lehner_string': '-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2008, 1, [503, 1005, 257], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 23, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-1408, -20864, -7720, 502544, 529798, -2976251, -2587695, 5082683, 3713761, -4312517, -2528894, 2148857, 957238, -668901, -215665, 132795, 29527, -16716, -2405, 1286, 107, -55, -2, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510798915667928, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '2008.2.a.d', 'level': 2008, '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, 251], 'level_radical': 502, 'minimal_twist': '2008.2.a.d', 'prim_orbit_index': 1, 'related_objects': [], 'relative_dim': 23, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2008.2.a', 'trace_display': [0, 2, 8, 2], 'traces': [23, 0, 2, 0, 8, 0, 2, 0, 45, 0, 8, 0, 8, 0, 7, 0, 19, 0, -9, 0, 9, 0, 21, 0, 65, 0, 5, 0, 10, 0, -9, 0, 34, 0, 12, 0, 11, 0, -9, 0, 35, 0, -9, 0, 29, 0, 37, 0, 77, 0, -17, 0, 38, 0, -20, 0, 51, 0, 17, 0, 0, 0, 22, 0, 41, 0, 9, 0, 8, 0, 13, 0, 41, 0, 25, 0, 36, 0, -36, 0, 127, 0, 29, 0, 34, 0, 10, 0, 36, 0, -6, 0, 36, 0, 25, 0, 40, 0, 19, 0, 31, 0, 15, 0, 81, 0, 29, 0, 11, 0, 26, 0, 72, 0, 13, 0, 58, 0, 29, 0, 147, 0, 66, 0, 75, 0, -26, 0, 53, 0, -14, 0, 9, 0, 2, 0, 89, 0, -44, 0, 7, 0, 20, 0, 24, 0, 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-201, 0, 118, 0, -793, 0, -271, 0, 90, 0, -537, 0, -293, 0, 266, 0, 911, 0, -43, 0, 276, 0, -18, 0, -520, 0, 353, 0, 256, 0, 77, 0, 308, 0, 780, 0, 411, 0, -56, 0, 132, 0, 202, 0, 389, 0, -279, 0, -75, 0, 25, 0, 494, 0, -630, 0, -215, 0, 141, 0, -192, 0, 125, 0, 67, 0, 346, 0, 187, 0, -77, 0, 5, 0, -290, 0, 1211, 0, 122, 0, 104, 0, 423, 0, -60, 0, 631, 0, -476, 0, 100, 0, 93, 0, -393, 0, -39, 0, 50, 0, -119, 0, 28, 0, 385, 0, -275, 0, -376, 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], [1.1326123755084816, 0.0], [0.0, 0.0], [0.361086361815667, 0.0], [0.0, 0.0], [1.2635317360242562, 0.0], [0.0, 0.0], [0.28281079315496566, 0.0], [0.0, 0.0], [1.219907182178765, 0.0], [0.0, 0.0], [-1.2327327000578754, 0.0], [0.0, 0.0], [0.4089708820197577, 0.0], [0.0, 0.0], [-1.4354163107665838, 0.0], [0.0, 0.0], [0.6847153884201316, 0.0], [0.0, 0.0], [1.4310916810687884, 0.0], [0.0, 0.0], [1.5544652765914004, 0.0], [0.0, 0.0], [-0.8696166393107252, 0.0], [0.0, 0.0], [-0.8122973712537981, 0.0], [0.0, 0.0], [1.4823103693385289, 0.0], [0.0, 0.0], [1.7209170291185532, 0.0], [0.0, 0.0], [1.3816819715073492, 0.0], [0.0, 0.0], [0.45624407759963237, 0.0], [0.0, 0.0], [0.44058719717483014, 0.0], [0.0, 0.0], [-1.3962083117795347, 0.0], [0.0, 0.0], [0.6018962020642465, 0.0], [0.0, 0.0], [1.4608941661844248, 0.0], [0.0, 0.0], [0.10211912038252968, 0.0], [0.0, 0.0], [-1.3807951761544024, 0.0], [0.0, 0.0], [0.5965124479404703, 0.0], [0.0, 0.0], 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-0.17577019415347322, -0.15466990963686947, -0.23415001808979677, -0.2250451214252041, -0.23289424550421584, -0.2337886334124757, -0.13127718013370748, -0.3225480472695822, -0.38629161113363697, -0.23348321348134454, -0.1838650215868534, -0.3864421667384218, -0.149273515608191, -0.12091491800498078, -0.1766937899892083, -0.19353635850262615, -0.3419218131793075, -0.19174164744675362, -0.30919935515019986, -0.15979097116970126, -0.15124940725188188, -0.2790491072843233, -0.3067645072332025, -0.29380718264076305, -0.2629225343364795, -0.16795617577433544, -0.27346149838849493, -0.15591273479192116, -0.28498588258396684, -0.2950730522826644, -0.2525893193111477, -0.2835979076500274, -0.3203223367920278, -0.25199681669451063, -0.24258217540732602, -0.2633281685744405, -0.22083359542732253, -0.16032338394558324, -0.31983882563612553, -0.27821634731039785, -0.3057217881746338, -0.23644443731140535, -0.32243386991988154, -0.35086894728204937, -0.10197196855537376, -0.26996490892058667, -0.23676836903769216, -0.3117791154358456, -0.22843126537787253, -0.1855200519498563, -0.19560724568504323, -0.3181035002883398, -0.16711157578592234, -0.20294211189778769, -0.2741904931186436, -0.266416383423272, -0.2836584367732183, -0.24830261505009002, -0.19993693675918278, -0.2898054689108604, -0.16818106477670763, -0.1979387819813766, -0.26456513694605405, -0.22914174376254526, -0.2890719972041759, -0.07236792013261271, -0.1377847340391042, -0.10348904586232573, -0.2871749011042553, -0.326936816852682, -0.0521786537134573, -0.35825808147076305, -0.15943071107869922], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 17, 'dual_embedding_m': 17, 'embedding_index': 17, 'embedding_m': 17, 'hecke_orbit': 4, 'hecke_orbit_code': 13510798915667928, 'label': '2008.2.a.d.1.17', 'level': 2008, '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

  
  {'ALdims': [19, 12, 23, 9], 'Nk2': 8032, 'analytic_conductor': 16.0339607258731, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2008, 1, [503, 1005, 257], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 249, 'dim': 63, 'eis_dim': 7, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 33556440, 'hecke_orbit_dims': [9, 12, 19, 23], 'label': '2008.2.a', 'level': 2008, '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, 251], 'level_radical': 502, 'mf_dim': 256, 'mf_new_dim': 63, 'num_forms': 4, 'plus_dim': 28, 'prim_orbit_index': 1, 'relative_dim': 63, 'sturm_bound': 504, 'trace_bound': 1, 'trace_display': [0, -2, 0, -4], 'traces': [63, 0, -2, 0, 0, 0, -4, 0, 69, 0, 0, 0, 0, 0, 0, 0, 6, 0, -4, 0, 0, 0, 4, 0, 75, 0, -8, 0, -6, 0, -12, 0, 8, 0, -12, 0, -10, 0, -16, 0, 14, 0, -16, 0, 0, 0, 16, 0, 79, 0, -36, 0, 2, 0, -24, 0, 20, 0, 4, 0, -14, 0, -4, 0, 12, 0, -14, 0, -8, 0, -32, 0, 18, 0, 22, 0, -8, 0, -28, 0, 95, 0, -6, 0, 12, 0, -28, 0, 6, 0, -40, 0, -24, 0, 12, 0, 6, 0, -40, 0, 0, 0, 4, 0, 84, 0, -8, 0, -6, 0, 16, 0, 6, 0, 8, 0, 24, 0, 4, 0, 121, 0, 44, 0, 36, 0, -52, 0, 48, 0, -34, 0, -20, 0, -40, 0, 34, 0, -32, 0, 20, 0, 40, 0, 12, 0, -78, 0, -12, 0, -68, 0, 38, 0, 0, 0, 18, 0, -36, 0, 0, 0, 4, 0, 16, 0, -32, 0, 99, 0, -44, 0, -28, 0, 12, 0, 40, 0, -58, 0, -8, 0, -100, 0, 92, 0, 4, 0, -32, 0, -28, 0, 30, 0, -92, 0, 36, 0, 12, 0, 12, 0, 76, 0, -28, 0, 52, 0, 60, 0, -106, 0, 56, 0, -84, 0, 92, 0, -40, 0, -12, 0, 0, 0, 237, 0, -66, 0, -46, 0, -144, 0, 22, 0, -24, 0, 116, 0, 32, 0, 70, 0, -46, 0, 48, 0, -92, 0, 96, 0, -21, 0, 72, 0, -62, 0, 34, 0, -112, 0, 22, 0, 8, 0, 16, 0, -2, 0, 14, 0, -20, 0, -8, 0, 36, 0, -50, 0, -44, 0, 38, 0, -12, 0, -88, 0, -2, 0, 89, 0, 20, 0, -18, 0, 12, 0, 28, 0, 8, 0, -64, 0, -12, 0, 20, 0, -44, 0, -24, 0, 28, 0, -10, 0, -2, 0, 4, 0, -84, 0, -40, 0, 20, 0, -64, 0, 8, 0, 16, 0, -98, 0, -70, 0, 28, 0, 38, 0, 40, 0, -40, 0, -8, 0, -60, 0, 4, 0, -58, 0, -74, 0, -18, 0, -20, 0, -112, 0, 36, 0, 125, 0, -10, 0, -72, 0, 24, 0, 46, 0, -20, 0, -16, 0, 20, 0, -88, 0, -44, 0, -96, 0, 152, 0, -16, 0, -12, 0, -14, 0, 40, 0, 4, 0, 26, 0, -26, 0, -64, 0, -26, 0, -52, 0, -88, 0, 72, 0, 138, 0, -52, 0, -136, 0, -56, 0, 28, 0, 44, 0, -66, 0, 148, 0, -42, 0, 12, 0, -64, 0, -52, 0, -50, 0, 148, 0, 12, 0, -112, 0, 69, 0, -66, 0, -48, 0, 118, 0, -66, 0, 32, 0, -160, 0, 180, 0, -42, 0, -184, 0, -18, 0, -76, 0, -88, 0, 32, 0, -20, 0, 140, 0, 32, 0, -112, 0, -70, 0, 76, 0, -16, 0, -12, 0, -116, 0, 80, 0, -48, 0, -14, 0, -172, 0, -136, 0, -124, 0, -56, 0, -188, 0, 90, 0, 108, 0, -40, 0, -52, 0, -2, 0, 44, 0, 104, 0, -56, 0, -24, 0, -118, 0, -142, 0, -188, 0, -2, 0, 179, 0, 0, 0, -16, 0, -68, 0, -24, 0, 80, 0, -8, 0, 56, 0, 68, 0, -2, 0, -150, 0, 22, 0, 8, 0, 56, 0, 14, 0, -136, 0, -8, 0, 120, 0, 32, 0, 184, 0, 74, 0, -70, 0, 52, 0, 86, 0, -66, 0, 140, 0, -84, 0, 10, 0, 108, 0, -126, 0, 8, 0, -92, 0, -18, 0, 124, 0, 28, 0, 100, 0, 118, 0, 22, 0, -76, 0, -124, 0, 40, 0, 76, 0, -118, 0, 276, 0, 62, 0, -18, 0, -148, 0, -138, 0, 63, 0, 112, 0, -68, 0, 28, 0, 84, 0, 56, 0, -20, 0, 12, 0, 94, 0, 84, 0, -272, 0, 112, 0, 136, 0, -2, 0, -2, 0, -140, 0, -58, 0, -76, 0, 18, 0, 148, 0, -76, 0, -120, 0, -24, 0, 142, 0, 110, 0, 332, 0, -84, 0, -132, 0, 128, 0, 118, 0, 148, 0, -208, 0, 40, 0, -26, 0, -300, 0, 104, 0, -8, 0, -156, 0, -122, 0, -112, 0, -56, 0, 152, 0, -104, 0, -216, 0, 104, 0, -168, 0, -176, 0, -32, 0, 116, 0, 108, 0, -114, 0, -142, 0, 153, 0, 76, 0, -66, 0, 310, 0, -64, 0, -262, 0, -196, 0, 32, 0, 0, 0, 54, 0, 124, 0, -164, 0, 6, 0, 52, 0, -60, 0, 248, 0, 62, 0, -188, 0, -108, 0, 108, 0, 90, 0, -88, 0, 24, 0, 64, 0, -96, 0, 224, 0, -44, 0, -68, 0, -164, 0, 156, 0, -104, 0, 94, 0, 128, 0, 156, 0, -118, 0, -160, 0, -82, 0, 96, 0, -148, 0, 76, 0, 146, 0, 10, 0, -388, 0, 40, 0, -24, 0, 260, 0, 84, 0, -44, 0, 100, 0, 16, 0, -70, 0, -16, 0, 82, 0, -12, 0, -80, 0, 128, 0, 71, 0, 8, 0, -256, 0, -80, 0, 268, 0, 164, 0, 104, 0, 288, 0, 42, 0, -86, 0, -260, 0, 26, 0, 92, 0, 294, 0, -116, 0, 12, 0, 78, 0, -28, 0, 52, 0, 172, 0, -86, 0, -36, 0, -508, 0, 60, 0, 68, 0, -108, 0, -192, 0, -116, 0, -148, 0, 248, 0, -148, 0, 284, 0, 72, 0, -58, 0, 52, 0, -168, 0, 104, 0, 344, 0, -84, 0, -132, 0, -32, 0, 192, 0, -106, 0, 202, 0, 34, 0, 12, 0, -80, 0, 384, 0, -2, 0, -28, 0, -38, 0, -10, 0, 188, 0, 190, 0, -192, 0, 276, 0, 34, 0, 220, 0, -364, 0, 324, 0, 235, 0, 100, 0, -44, 0, 84, 0, 44, 0, -122, 0, -148, 0, -196, 0, 86, 0, 136, 0, -362, 0, 224, 0, 112, 0, 344, 0, -244, 0, 136, 0, 128, 0, 372, 0, -142, 0, 368, 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: 42606321
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 23, 'source_embedding_index': 17, 'source_hecke_orbit_code': 13510798915667928, 'source_is_minimal': True, 'source_label': '2008.2.a.d.1.17', 'source_level': 2008, 'target_conrey_index': 1, 'target_dim': 23, 'target_embedding_index': 17, 'target_hecke_orbit_code': 13510798915667928, 'target_is_minimal': True, 'target_label': '2008.2.a.d.1.17', 'target_level': 2008, 'twist_class_label': '2008.2.a.d.1.17', 'twist_class_level': 2008, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 42606322
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 23, 'source_embedding_index': 17, 'source_hecke_orbit_code': 13510798915667928, 'source_is_minimal': True, 'source_label': '2008.2.a.d.1.17', 'source_level': 2008, 'target_conrey_index': 1, 'target_dim': 23, 'target_embedding_index': 7, 'target_hecke_orbit_code': 54043195562004400, 'target_is_minimal': False, 'target_label': '4016.2.a.m.1.7', 'target_level': 4016, 'twist_class_label': '2008.2.a.d.1.17', 'twist_class_level': 2008, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
• hecke_orbit_code 13510798915667928 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': 1, 'hecke_orbit': 4, 'label': '2008.2.a.d', 'level': 2008, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 32815255
    {'hecke_orbit_code': 13510798915667928, 'n': 1, 'trace_an': 23}
  • id: 32815256
    {'hecke_orbit_code': 13510798915667928, 'n': 2, 'trace_an': 0}
  • id: 32815257
    {'hecke_orbit_code': 13510798915667928, 'n': 3, 'trace_an': 2}
  • id: 32815258
    {'hecke_orbit_code': 13510798915667928, 'n': 4, 'trace_an': 0}
  • id: 32815259
    {'hecke_orbit_code': 13510798915667928, 'n': 5, 'trace_an': 8}
  • id: 32815260
    {'hecke_orbit_code': 13510798915667928, 'n': 6, 'trace_an': 0}
  • id: 32815261
    {'hecke_orbit_code': 13510798915667928, 'n': 7, 'trace_an': 2}
  • id: 32815262
    {'hecke_orbit_code': 13510798915667928, 'n': 8, 'trace_an': 0}
  • id: 32815263
    {'hecke_orbit_code': 13510798915667928, 'n': 9, 'trace_an': 45}
  • id: 32815264
    {'hecke_orbit_code': 13510798915667928, 'n': 10, 'trace_an': 0}
  • id: 32815265
    {'hecke_orbit_code': 13510798915667928, 'n': 11, 'trace_an': 8}
  • id: 32815266
    {'hecke_orbit_code': 13510798915667928, 'n': 12, 'trace_an': 0}
  • id: 32815267
    {'hecke_orbit_code': 13510798915667928, 'n': 13, 'trace_an': 8}
  • id: 32815268
    {'hecke_orbit_code': 13510798915667928, 'n': 14, 'trace_an': 0}
  • id: 32815269
    {'hecke_orbit_code': 13510798915667928, 'n': 15, 'trace_an': 7}
  • id: 32815270
    {'hecke_orbit_code': 13510798915667928, 'n': 16, 'trace_an': 0}
  • id: 32815271
    {'hecke_orbit_code': 13510798915667928, 'n': 17, 'trace_an': 19}
  • id: 32815272
    {'hecke_orbit_code': 13510798915667928, 'n': 18, 'trace_an': 0}
  • id: 32815273
    {'hecke_orbit_code': 13510798915667928, 'n': 19, 'trace_an': -9}
  • id: 32815274
    {'hecke_orbit_code': 13510798915667928, 'n': 20, 'trace_an': 0}
  • id: 32815275
    {'hecke_orbit_code': 13510798915667928, 'n': 21, 'trace_an': 9}
  • id: 32815276
    {'hecke_orbit_code': 13510798915667928, 'n': 22, 'trace_an': 0}
  • id: 32815277
    {'hecke_orbit_code': 13510798915667928, 'n': 23, 'trace_an': 21}
  • id: 32815278
    {'hecke_orbit_code': 13510798915667928, 'n': 24, 'trace_an': 0}
  • id: 32815279
    {'hecke_orbit_code': 13510798915667928, 'n': 25, 'trace_an': 65}
  • id: 32815280
    {'hecke_orbit_code': 13510798915667928, 'n': 26, 'trace_an': 0}
  • id: 32815281
    {'hecke_orbit_code': 13510798915667928, 'n': 27, 'trace_an': 5}
  • id: 32815282
    {'hecke_orbit_code': 13510798915667928, 'n': 28, 'trace_an': 0}
  • id: 32815283
    {'hecke_orbit_code': 13510798915667928, 'n': 29, 'trace_an': 10}
  • id: 32815284
    {'hecke_orbit_code': 13510798915667928, 'n': 30, 'trace_an': 0}
  • id: 32815285
    {'hecke_orbit_code': 13510798915667928, 'n': 31, 'trace_an': -9}
  • id: 32815286
    {'hecke_orbit_code': 13510798915667928, 'n': 32, 'trace_an': 0}
  • id: 32815287
    {'hecke_orbit_code': 13510798915667928, 'n': 33, 'trace_an': 34}
  • id: 32815288
    {'hecke_orbit_code': 13510798915667928, 'n': 34, 'trace_an': 0}
  • id: 32815289
    {'hecke_orbit_code': 13510798915667928, 'n': 35, 'trace_an': 12}
  • id: 32815290
    {'hecke_orbit_code': 13510798915667928, 'n': 36, 'trace_an': 0}
  • id: 32815291
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  • id: 32815292
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  • id: 32815293
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  • id: 32815294
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  • id: 32815295
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  • id: 32815296
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  • id: 32815297
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  • id: 32815298
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  • id: 32815299
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  • id: 32815300
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  • id: 32815301
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  • id: 32815302
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  • id: 32815303
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  • id: 32815304
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  • id: 32815305
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  • id: 32815306
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  • id: 32815307
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  • id: 32815308
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  • id: 32815309
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  • id: 32815310
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  • id: 32815311
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  • id: 32815312
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  • id: 32815313
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  • id: 32815314
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  • id: 32815315
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  • id: 32815316
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  • id: 32815317
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  • id: 32815318
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  • id: 32815319
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  • id: 32815321
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  • id: 32815323
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  • id: 32815327
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  • id: 32815331
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  • id: 32815333
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  • id: 32815335
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  • id: 32815361
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  • id: 32815365
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  • id: 32815367
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  • id: 32815368
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  • id: 32815370
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  • id: 32815371
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  • id: 32815372
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  • id: 32815373
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  • id: 32815374
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  • id: 32815376
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  • id: 32815377
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  • id: 32815379
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  • id: 32815380
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  • id: 32815381
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  • id: 32815382
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  • id: 32815383
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  • id: 32815384
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  • id: 32815385
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  • id: 32815386
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  • id: 32815387
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  • id: 32815388
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  • id: 32815389
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  • id: 32815390
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  • id: 32815391
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  • id: 32815392
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  • id: 32815393
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  • id: 32815394
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  • id: 32815395
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  • id: 32815396
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  • id: 32815397
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  • id: 32815398
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  • id: 32815399
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  • id: 32815400
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  • id: 32815401
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  • id: 32815402
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  • id: 32815403
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  • id: 32815404
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  • id: 32815405
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  • id: 32815406
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  • id: 32815407
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  • id: 32815408
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  • id: 32815409
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  • id: 32815410
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  • id: 32815411
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  • id: 32815412
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  • id: 32815413
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  • id: 32815414
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  • id: 32815415
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  • id: 32815416
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  • id: 32815417
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  • id: 32815418
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  • id: 32815419
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  • id: 32815420
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  • id: 32815421
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  • id: 32815422
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  • id: 32815423
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  • id: 32815424
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  • id: 32815425
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  • id: 32815426
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  • id: 32815427
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  • id: 32815428
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  • id: 32815429
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  • id: 32815430
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  • id: 32815431
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  • id: 32815432
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  • id: 32815433
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  • id: 32815434
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  • id: 32815435
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  • id: 32815436
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  • id: 32815437
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  • id: 32815438
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  • id: 32815439
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  • id: 32815440
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  • id: 32815441
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  • id: 32815442
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  • id: 32815443
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  • id: 32815444
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  • id: 32815445
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  • id: 32815446
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  • id: 32815447
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  • id: 32815448
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  • id: 32815449
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  • id: 32815450
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  • id: 32815451
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  • id: 32815452
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  • id: 32815453
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  • id: 32815454
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  • id: 32815455
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  • id: 32815456
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  • id: 32815457
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  • id: 32815458
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  • id: 32815459
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  • id: 32815460
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  • id: 32815461
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  • id: 32815462
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  • id: 32815463
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  • id: 32815464
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  • id: 32815465
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  • id: 32815466
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  • id: 32815467
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  • id: 32815468
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  • id: 32815469
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  • id: 32815470
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  • id: 32815471
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  • id: 32815472
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  • id: 32815473
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  • id: 32815474
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  • id: 32815475
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  • id: 32815476
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  • id: 32815477
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  • id: 32815478
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  • id: 32815479
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  • id: 32815480
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  • id: 32815481
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  • id: 32815482
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  • id: 32815483
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  • id: 32815484
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  • id: 32815485
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  • id: 32815486
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  • id: 32815487
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  • id: 32815488
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  • id: 32815489
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  • id: 32815490
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  • id: 32815491
    {'hecke_orbit_code': 13510798915667928, 'n': 857, 'trace_an': 55}
  • id: 32815492
    {'hecke_orbit_code': 13510798915667928, 'n': 859, 'trace_an': -107}
  • id: 32815493
    {'hecke_orbit_code': 13510798915667928, 'n': 863, 'trace_an': 224}
  • id: 32815494
    {'hecke_orbit_code': 13510798915667928, 'n': 877, 'trace_an': 43}
  • id: 32815495
    {'hecke_orbit_code': 13510798915667928, 'n': 881, 'trace_an': -52}
  • id: 32815496
    {'hecke_orbit_code': 13510798915667928, 'n': 883, 'trace_an': 26}
  • id: 32815497
    {'hecke_orbit_code': 13510798915667928, 'n': 887, 'trace_an': 61}
  • id: 32815498
    {'hecke_orbit_code': 13510798915667928, 'n': 907, 'trace_an': 25}
  • id: 32815499
    {'hecke_orbit_code': 13510798915667928, 'n': 911, 'trace_an': -62}
  • id: 32815500
    {'hecke_orbit_code': 13510798915667928, 'n': 919, 'trace_an': 5}
  • id: 32815501
    {'hecke_orbit_code': 13510798915667928, 'n': 929, 'trace_an': 124}
  • id: 32815502
    {'hecke_orbit_code': 13510798915667928, 'n': 937, 'trace_an': 65}
  • id: 32815503
    {'hecke_orbit_code': 13510798915667928, 'n': 941, 'trace_an': -104}
  • id: 32815504
    {'hecke_orbit_code': 13510798915667928, 'n': 947, 'trace_an': 362}
  • id: 32815505
    {'hecke_orbit_code': 13510798915667928, 'n': 953, 'trace_an': 138}
  • id: 32815506
    {'hecke_orbit_code': 13510798915667928, 'n': 961, 'trace_an': 176}
  • id: 32815507
    {'hecke_orbit_code': 13510798915667928, 'n': 967, 'trace_an': 127}
  • id: 32815508
    {'hecke_orbit_code': 13510798915667928, 'n': 971, 'trace_an': -203}
  • id: 32815509
    {'hecke_orbit_code': 13510798915667928, 'n': 977, 'trace_an': 132}
  • id: 32815510
    {'hecke_orbit_code': 13510798915667928, 'n': 983, 'trace_an': 149}
  • id: 32815511
    {'hecke_orbit_code': 13510798915667928, 'n': 991, 'trace_an': -93}
  • id: 32815512
    {'hecke_orbit_code': 13510798915667928, 'n': 997, 'trace_an': -166}