Embedded newform data - 666.2.s.a.397.2

Formats: - HTML - YAML - JSON - 2026-09-23T01:43:06.754841

• 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': 2664, 'analytic_conductor': 5.318036774617274, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 37, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 19, 'char_orbit_label': 's', 'char_order': 6, 'char_parity': 1, 'char_values': [666, 6, [371, 631], [6, 5]], 'cm_discs': [], 'conrey_index': 307, 'dim': 4, 'field_disc': 144, 'field_disc_factorization': [[2, 4], [3, 2]], 'field_poly': [1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 12, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [3, 3, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 1236984136346, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 37, 5, 1, 6, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '666.2.s.a', 'level': 666, '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, 37], 'level_radical': 222, 'minimal_twist': '74.2.e.b', 'nf_label': '4.0.144.1', 'prim_orbit_index': 5, 'qexp_display': 'q+\\zeta_{12}q^{2}+\\zeta_{12}^{2}q^{4}+(-2+\\zeta_{12}^{2}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '666.2.s', 'trace_display': [0, 0, -6, 4], 'trace_hash': 262935516548985123, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.032', 'prec': 7}, {'__RealLiteral__': 0, 'data': '3.831', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '50.607', 'prec': 17}, 0, {'__RealLiteral__': 0, 'data': '982.752', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.186', 'prec': 10}, 'traces': [4, 0, 0, 2, -6, 0, 4, 0, 0, 0, 12, 0, -12, 0, 0, -2, -6, 0, -6, -6, 0, -6, 0, 0, -4, 0, 0, -4, 0, 0, 0, 0, 0, 12, -12, 0, -2, -12, 0, 0, 6, 0, 0, 6, 0, 6, -12, 0, 6, 0, 0, -12, 12, 0, -18, 0, 0, 0, 12, 0, 6, 6, 0, -4, 12, 0, 10, 0, 0, 0, 0, 0, 16, 24, 0, -6, 12, 0, 6, 0, 0, 0, 6, 0, 12, -12, 0, 0, -18, 0, -24, -6, 0, 6, 6, 0, 0, 0, 0, -8, -36, 0, 0, 0, 0, 12, 0, 0, 30, 12, 0, -8, 12, 0, -6, -30, 0, 12, 0, 0, 4, 0, 0, 6, 0, 0, 26, 0, 0, 0, 18, 0, -12, 0, 0, -12, -36, 0, 10, 0, 0, 0, -36, 0, -30, 0, 0, 2, 36, 0, 2, -6, 0, 0, 6, 0, -2, 60, 0, 0, -12, 0, 24, -6, 0, 30, 48, 0, -2, -36, 0, -24, 18, 0, -16, -6, 0, -24, 0, 0, -2, 0, 0, 12, 6, 0, -54, -6, 0, 18, 0, 0, 0, -12, 0, 12, 6, 0, 0, 0, 0, 12, -60, 0, -18, 24, 0, 0, 0, 0, 32, 24, 0, 0, -24, 0, 12, 12, 0, -18, 24, 0, 44, 0, 0, 0, 6, 0, -34, 0, 0, 0, -60, 0, 18, 0, 0, -24, 60, 0, 12, -36, 0, 6, 0, 0, 12, 12, 0, 0, 0, 0, 0, 18, 0, -2, 18, 0, 4, 24, 0, 30, 36, 0, 0, -12, 0, -10, -24, 0, -26, 6, 0, -36, -12, 0, 18, -54, 0, 0, 54, 0, -48, 0, 0, 24, -12, 0, 44, 0, 0, 8, 18, 0, -24, 12, 0, -24, -12, 0, -48, 0, 0, 0, -6, 0, -88, -12, 0, 0, 0, 0, 42, 0, 0, 6, -6, 0, 0, 6, 0, 24, -60, 0, 0, -12, 0, 24, -12, 0, 0, 12, 0, 0, -30, 0, 2, 0, 0, 6, 0, 0, 80, -24, 0, 12, 0, 0, -2, 0, 0, 6, 6, 0, 0, 0, 0, -12, -72, 0, -14, 0, 0, 0, -24, 0, -4, -6, 0, -36, 48, 0, -14, 42, 0, 0, -60, 0, 28, 12, 0, -6, 12, 0, -36, -12, 0, 6, 90, 0, 42, 0, 0, -12, -6, 0, -92, 0, 0, -4, 0, 0, 12, -18, 0, 0, -42, 0, 78, 24, 0, 12, 0, 0, 0, 0, 0, -24, -36, 0, 0, 36, 0, 12, 12, 0, 12, 0, 0, 0, 30, 0, -20, 24, 0, 0, 12, 0, -84, 6, 0, -72, 72, 0, 36, -18, 0, -4, 12, 0, 42, 0, 0, 12, 48, 0, -90, 0, 0, 6, 12, 0, 0, -30, 0, 0, 0, 0, -20, -12, 0, -12, 0, 0, 0, 12, 0, 0, -12, 0, 12, -48, 0, 2, 6, 0, 0, 0, 0, 0, -84, 0, 30, 36, 0, 6, 0, 0, -18, 42, 0, 0, 18, 0, 54, 24, 0, 52, -6, 0, 16, 0, 0, 24, 12, 0, -48, 24, 0, 0, 24, 0, 102, 0, 0, 0, 30, 0, 44, -12, 0, 0, -36, 0, 0, 18, 0, -36, 18, 0, 0, -54, 0, -24, -60, 0, 0, -18, 0, 12, -30, 0, 12, -24, 0, 20, -102, 0, -48, 12, 0, -24, 0, 0, -24, -24, 0, 12, 0, 0, -2, -36, 0, 48, -12, 0, -24, 0, 0, 30, 24, 0, 24, 0, 0, 0, -42, 0, 24, -36, 0, 4, -36, 0, 12, 18, 0, 0, 78, 0, 46, -48, 0, -2, -6, 0, -114, 6, 0, 0, 36, 0, 26, 0, 0, 12, 60, 0, 80, -6, 0, -36, 0, 0, 22, -24, 0, -4, 144, 0, -90, 30, 0, -36, 0, 0, 0, 30, 0, 0, 30, 0, 0, -12, 0, -18, 24, 0, 0, 0, 0, 0, 90, 0, -36, -12, 0, 0, -12, 0, 6, 0, 0, 30, 24, 0, -60, 48, 0, 18, 18, 0, -32, 0, 0, -4, -108, 0, 12, 0, 0, 12, -12, 0, 54, 0, 0, -24, 0, 0, -2, 36, 0, -6, 0, 0, 0, 36, 0, -8, -24, 0, -30, -12, 0, -36, -36, 0, 0, 12, 0, 24, -24, 0, 36, 12, 0, 60, 78, 0, 24, 36, 0, 2, -60, 0, 96, 0, 0, 0, -48, 0, -16, 0, 0, 6, 48, 0, 68, 0, 0, 24, -42, 0, -54, 0, 0, 0, 0, 0, 160, 6, 0, 0, -6, 0, 18, -72, 0, 18, 30, 0, 0, -18, 0, 0, -48, 0, 0, 12, 0, 18, 54, 0, 12, -24, 0, 0, 54, 0, 12, -54, 0, 6, 0, 0, -40, 12, 0, -90, 0, 0, -12, 0, 0, -36, -72, 0, 54, 0, 0, 0, 48, 0, 12, 0, 0, 0, -96, 0, -20, -60, 0, 72, -48, 0, -60, 24, 0, 0, 12, 0, -58, 48, 0, -24, 48, 0, 36, -30, 0, 12, -18, 0, -48, 0, 0, -48, -54, 0, -184, 0, 0, 16, 0, 0, 4, 12, 0, -48, -30, 0, 6, 0, 0, -36, 0, 0, 0, 24, 0, -36, -12, 0, 0, -72, 0, 12, -72, 0, -60, -12, 0, 0, 84, 0, 28, -24, 0, 0, 78, 0, -66, 12, 0, 12, 108, 0, 104, 72, 0, 22, 0, 0, 12, 0, 0, 96, 60, 0, 36, 0, 0, 0, 6, 0, -54, 6, 0, 0, 0, 0, -12, 48, 0, 34, 0, 0, 0, -18, 0, -72, 0, 0, 8, 120, 0, 0, -30, 0, 0, -30, 0, -12, 108, 0, -34, 36, 0, 18, 18, 0, -90, -12, 0, -12, -108, 0, -48, 12, 0, -48, 12, 0, -18, 0, 0, 12, -36, 0, 76, -72, 0, 12, 18, 0, 0, 0, 0, 0, -66, 0, 40, 6, 0, 0, 12, 0, 18, -18, 0, 18, 66, 0, 0, -180, 0, 24, 24, 0, 0, 6, 0, 24, -36, 0, -36, 60, 0, 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], [0.6123724356957945, 0.3535533905932738], [0.0, 0.0], [0.25, 0.4330127018922193], [-0.6708203932499369, 0.3872983346207417], [0.0, 0.0], [0.37796447300922725, 0.6546536707079772], [0.0, 0.3535533905932738], [0.0, 0.0], [-0.5477225575051661, 0.0], [0.38230106586619733, 0.0], [0.0, 0.0], [-0.8320502943378437, 0.4803844614152614], [0.0, 0.5345224838248488], [0.0, 0.0], [-0.125, 0.21650635094610965], [0.8964486380707094, 0.5175648625047975], [0.0, 0.0], [-0.9401631614851124, 0.5428034543655992], [-0.33541019662496846, -0.19364916731037085], [0.0, 0.0], [0.23411063487358164, 0.13516383806441656], [0.0, -0.2643856829139167], [0.0, 0.0], [-0.2, 0.34641016151377546], [-0.6793662204867574, 0.0], [0.0, 0.0], [-0.18898223650461363, 0.3273268353539886], [0.0, 1.6081688022566922], [0.0, 0.0], [0.0, -0.8499014144994523], [-0.15309310892394862, 0.08838834764831845], [0.0, 0.0], [0.36597362398102534, 0.6338849109652436], [-0.50709255283711, -0.29277002188455997], [0.0, 0.0], [0.7720427025245704, -0.6355706612789467], [-0.7676400068667958, 0.0], [0.0, 0.0], [-0.13693063937629152, -0.23717082451262844], [-0.30674113796755026, -0.5312912357312919], [0.0, 0.0], [0.0, 1.9715325095863765], [0.09557526646654933, 0.16554121746699743], [0.0, 0.0], [0.09347445461853342, -0.16190250460909117], [-0.184949398173728, 0.0], [0.0, 0.0], [0.21428571428571427, -0.37115374447904514], [-0.2449489742783178, 0.1414213562373095], [0.0, 0.0], [-0.41602514716892186, -0.2401922307076307], [0.6499971675615103, -1.1258281189923969], [0.0, 0.0], [-0.25645535134423253, 0.14806456613371272], [-0.23145502494313785, 0.1336306209562122], [0.0, 0.0], [-0.5685735326841775, 0.9847982464479191], [1.0670481581450175, 0.6160605413433202], [0.0, 0.0], [0.19205531989934396, -0.11088319064318593], [0.3004855267663007, -0.5204561992983306], [0.0, 0.0], [-0.125, 0.0], [0.3721042037676254, -0.6445033866354896], [0.0, 0.0], [-0.011981916245606163, -0.020753287709424802], [0.0, 0.5175648625047975], [0.0, 0.0], [-0.20701966780270625, -0.3585685828003181], [-0.2055566129482595, -0.356034497458156], [0.0, 0.0], [0.4681645887845223, 0.0], [0.6974858324629157, -0.11624763874381928], [0.0, 0.0], [-0.4700815807425562, -0.2714017271827996], [0.14449622089098316, 0.25027479608487824], [0.0, 0.0], [1.630295240677573, -0.9412513960637625], [0.0, -0.19364916731037085], [0.0, 0.0], [0.0, -0.4337974774514663], [0.6399395778778939, -1.1084078626586926], [0.0, 0.0], [-0.8018080372252848, 0.0], [-0.6970420034291295, 1.2073121649488519], [0.0, 0.0], [0.0, 0.13516383806441656], [-1.5785811564546501, -0.911394255616763], [0.0, 0.0], [-0.628970902033151, -0.36313651960128146], [0.11448235890017464, -0.06609642072847917], [0.0, 0.0], [-0.11325791344011714, -0.06538948681250696], [0.4204537478043647, -0.7282472534299109], [0.0, 0.0], [0.0, 0.4333445845520067], [0.2624453295839119, -0.15152288168283162], [0.0, 0.0], [-0.2, 0.0]], 'angles': [None, None, -0.3966291611099921, -0.02164540472612087, -0.21938906778961026, -0.4130847633433276, -0.08008597615744989, -0.424651907846813, -0.47889909258527014, 0.1486720091876365, -0.43014571282639796, None, -0.1329526267926983, 0.22311492767385027, -0.2647388633305621, -0.3040516991107428, -0.06103049558450618, -0.31564936074616545, -0.08524036016419397, -0.11628356826386195, -0.21239574068433573, -0.13815892990218867, -0.30614634966166565, -0.4841701554996409, 0.034760154249054105, -0.2944086633476252, -0.36214280892958883, 0.00042871919725540037, -0.04278989673441142, -0.14061819907334452, -0.2671242521394057, 0.005327175896934857, -0.4053737362470267, -0.4907855235943493, -0.2364771936930654, -0.042769799779248094, -0.42301932701212563, -0.1608799115715907, -0.24327797130410458, -0.3381051085348391, 0.015105938927136247, -0.15291362245622328, 0.04791413570108707, 0.00460517132726272, -0.4192980849602125, 0.060037818963041736, -0.1408933035880038, -0.2188738261043388, -0.30823597552476273, -0.11836287663733296, -0.3317466164431667, -0.0720316360134195, -0.37765947814439144, -0.40795514113343223, -0.07657118067024397, -0.009372907629579817, -0.33328339351707087, 0.2507309314464861, -0.33717718110679146, -0.14959886826545893, -0.43380306357930926, 0.012509469990636745, -0.358022858347463, -0.2519074762593442, -0.1661073156992463, -0.478033075269247, -0.16666666666666666, -0.4297846612003324, 0.06653120965408965, -0.37622459544619435, -0.23792641309668683, -0.2528539771174246, -0.04818750108051827, -0.11233614390221457, -0.44454187118461813, -0.3192290841705594, -0.2188996753898089, -0.3479212008529837, -0.4582238465150347, -0.0039442520889544416, 0.2252525622760905, 0.04773519827189296, -0.3346356321656097, -0.3563454126500746, -0.4616864163785428, -0.16484209972081415, -0.22112456044023954, -0.3863515559659156, -0.30349878790198664, -0.21056798366967544, 0.035135364081568095, -0.15744100620055365, -0.41673127207992794, -0.3080335500550875, -0.29812178304216475, -0.20173561109620833, -0.41502965421680627, -0.015288870444020254, -0.1744527719870335, -0.4328399411945241], 'char_orbit_index': 19, 'conrey_index': 397, 'dual_conrey_index': 307, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 4, 'embedding_root_imag': 0.5, 'embedding_root_real': 0.8660254037844386, 'hecke_orbit': 1, 'hecke_orbit_code': 1236984136346, 'label': '666.2.s.a.397.2', 'level': 666, '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': 2664, 'analytic_conductor': 5.318036774617274, 'char_conductor': 37, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 19, 'char_orbit_label': 's', 'char_order': 6, 'char_parity': 1, 'char_values': [666, 6, [371, 631], [6, 5]], 'conrey_index': 307, 'cusp_dim': 212, 'dim': 28, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 1236984136346, 'hecke_orbit_dims': [4, 4, 4, 4, 4, 8], 'label': '666.2.s', 'level': 666, '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, 37], 'level_radical': 222, 'mf_dim': 244, 'mf_new_dim': 28, 'num_forms': 6, 'prim_orbit_index': 5, 'relative_dim': 14, 'sturm_bound': 228, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [28, 0, 0, 14, 0, 0, 0, 0, 0, -4, -8, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, -14, 24, 0, -2, 12, 0, 0, -4, 0, -12, 32, 0, 6, 0, 0, 0, -8, 0, 36, 0, 0, 2, 12, 0, -30, 4, 0, -28, 4, 0, 4, 0, 0, -8, -8, 0, 8, 20, 0, 0, 36, 0, 24, 0, 0, 0, 16, 0, 28, -28, 0, 0, -24, 0, 12, -12, 0, 12, 56, 0, 0, -48, 0, -8, -104, 0, 0, 0, 0, -24, -24, 0, -30, 80, 0, 0, -132, 0, -4, 0, 0, 8, 0, 0, 28, -64, 0, 0, 0, 0, -20, 0, 0, 12, 0, 0, -36, 0, 0, 2, -80, 0, -24, 0, 0, 0, -72, 0, -22, -36, 0, -22, 152, 0, -20, 12, 0, 0, 36, 0, -34, 88, 0, 2, -72, 0, 132, -12, 0, 24, 132, 0, -18, 0, 0, 24, 16, 0, -8, 4, 0, 26, 0, 0, -62, -48, 0, -24, 76, 0, 24, 16, 0, 36, 0, 0, 0, 20, 0, 12, -32, 0, 0, 0, 0, -18, -60, 0, -54, 4, 0, 0, 48, 0, 0, -16, 0, 0, -8, 0, -120, 40, 0, 36, 112, 0, 72, 0, 0, -16, -24, 0, 26, 0, 0, 4, 0, 0, -144, 0, 0, 8, 60, 0, -72, -48, 0, -30, 0, 0, 32, 8, 0, 18, 0, 0, 0, 24, 0, -14, -36, 0, 56, 8, 0, -40, 44, 0, 0, -28, 0, -4, -32, 0, 16, 0, 0, -18, 64, 0, 18, 0, 0, 8, -48, 0, 72, 8, 0, 0, -40, 0, 44, 0, 0, 4, 52, 0, 80, -8, 0, -30, -4, 0, -36, 0, 0, 0, 52, 0, 80, -36, 0, 0, -108, 0, 6, -36, 0, 24, 104, 0, 0, 0, 0, 56, -216, 0, 0, -28, 0, 6, 28, 0, -132, 32, 0, 112, -168, 0, 26, -24, 0, 14, 0, 0, 72, -56, 0, 6, 0, 0, 18, -12, 0, 0, -84, 0, -36, 0, 0, -16, -104, 0, -66, 0, 0, 0, -156, 0, 12, -12, 0, 42, 144, 0, 34, 100, 0, 0, 40, 0, -60, 112, 0, 20, -36, 0, 60, -44, 0, 78, 228, 0, 48, -48, 0, -42, 12, 0, -44, -16, 0, -4, 0, 0, -4, -52, 0, 80, 104, 0, 30, 56, 0, 12, 0, 0, 0, 0, 0, 16, -4, 0, 0, -60, 0, -24, -12, 0, 108, 24, 0, 0, 48, 0, -36, -40, 0, 0, 44, 0, 12, 40, 0, -60, 64, 0, -220, 144, 0, 0, 0, 0, 40, 0, 0, -96, 48, 0, 66, 0, 0, 4, 180, 0, 24, 0, 0, 78, 0, 0, -16, 24, 0, -8, 0, 0, 0, 36, 0, 32, 12, 0, -120, 24, 0, 14, 28, 0, 0, -32, 0, 10, -80, 0, -22, 96, 0, 0, 104, 0, 72, 0, 0, -72, 36, 0, -30, 52, 0, -40, 8, 0, -4, 0, 0, -46, 32, 0, -208, -20, 0, 12, 44, 0, 120, 0, 0, 0, 20, 0, -44, -96, 0, 0, -108, 0, -204, 36, 0, -96, 132, 0, 0, -204, 0, 4, -256, 0, 0, -40, 0, -120, 8, 0, 240, 176, 0, -48, -312, 0, 12, 0, 0, -6, 0, 0, -32, -216, 0, 0, 0, 0, -40, -72, 0, 0, -180, 0, 72, 0, 0, 22, -128, 0, 120, 0, 0, 0, -252, 0, -32, -120, 0, -8, 120, 0, -28, 76, 0, 0, 28, 0, 114, 280, 0, 20, -72, 0, -252, -12, 0, -222, 360, 0, -18, -36, 0, 36, 48, 0, 208, -36, 0, 8, 0, 0, 118, -116, 0, -68, 44, 0, -12, 44, 0, -54, 0, 0, 0, 16, 0, 4, 12, 0, 0, -72, 0, 192, -240, 0, 0, -36, 0, 0, 132, 0, 0, -24, 0, 0, 32, 0, 342, 136, 0, 24, 8, 0, 152, 132, 0, 4, -48, 0, -96, 0, 0, -36, -128, 0, 144, 0, 0, -32, 228, 0, 6, -108, 0, 24, 0, 0, -52, 32, 0, 48, 0, 0, 0, 156, 0, -4, 24, 0, -44, 8, 0, 34, 4, 0, 0, -92, 0, -26, -176, 0, 24, 96, 0, 72, 120, 0, -24, -48, 0, 62, -108, 0, -204, 48, 0, 48, -28, 0, -156, 0, 0, -12, 104, 0, 40, -16, 0, -24, -84, 0, 6, 0, 0, 0, 0, 0, -176, -16, 0, 0, -228, 0, 102, -36, 0, 36, 64, 0, 0, -156, 0, -64, -24, 0, 0, -84, 0, 30, 24, 0, -12, 40, 0, -84, -108, 0, -140, 36, 0, 6, 0, 0, 8, -64, 0, 24, 0, 0, -76, -24, 0, 24, -132, 0, -60, 0, 0, -64, -16, 0, -76, 0, 0, 0, -132, 0, -16, -60, 0, -16, 32, 0, -44, 100, 0, 0, -60, 0, -20, 8, 0, -72, 60, 0, 144, -68, 0, 0, 156, 0, -144, 48, 0, -48, 0, 0, -24, -12, 0, 0, 0, 0, -88, -8, 0, -176, 148, 0, 66, 92, 0, -48, 0, 0, 0, 8, 0, 72, 64, 0, 0, -60, 0, -120, 144, 0, -36, -40, 0, 0, 120, 0, 60, 120, 0, 0, 60, 0, -12, 56, 0, 96, -160, 0, 32, 228, 0, 36, 0, 0, -64, 0, 0, 96, 160, 0, 24, 0, 0, 16, 216, 0, -108, -24, 0, -144, 0, 0, 20, 104, 0, -26, 0, 0, 0, 120, 0, 16, 96, 0, 236, -16, 0, 2, -28, 0, 0, 0, 0, 112, -32, 0, -46, 144, 0, -144, 76, 0, -168, -12, 0, 44, 156, 0, 324, 0, 0, 16, 40, 0, 68, 0, 0, 88, 104, 0, 460, -20, 0, -72, 92, 0, -372, 0, 0, 0, -48, 0, 0, -108, 0, 0, 60, 0, 216, -48, 0, 0, 132, 0, 0, -372, 0, 64, -272, 0, 0, 4, 0, 192, -80, 0, -252, 232, 0, 36], '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: 15152979
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 397, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 1236984136346, 'source_is_minimal': False, 'source_label': '666.2.s.a.397.2', 'source_level': 666, 'target_conrey_index': 397, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 1236984136346, 'target_is_minimal': False, 'target_label': '666.2.s.a.397.2', 'target_level': 666, 'twist_class_label': '74.2.e.b.11.1', 'twist_class_level': 74, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 15152980
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 397, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 1236984136346, 'source_is_minimal': False, 'source_label': '666.2.s.a.397.2', 'source_level': 666, 'target_conrey_index': 27, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503874538831946, 'target_is_minimal': True, 'target_label': '74.2.e.b.27.1', 'target_level': 74, 'twist_class_label': '74.2.e.b.11.1', 'twist_class_level': 74, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 15152981
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 397, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 1236984136346, 'source_is_minimal': False, 'source_label': '666.2.s.a.397.2', 'source_level': 666, 'target_conrey_index': 545, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18015910371525200, 'target_is_minimal': False, 'target_label': '592.2.w.e.545.1', 'target_level': 592, 'twist_class_label': '74.2.e.b.11.1', 'twist_class_level': 74, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 15152982
    {'conductor': 37, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 397, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 1236984136346, 'source_is_minimal': False, 'source_label': '666.2.s.a.397.2', 'source_level': 666, 'target_conrey_index': 307, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 1236984136346, 'target_is_minimal': False, 'target_label': '666.2.s.a.307.2', 'target_level': 666, 'twist_class_label': '74.2.e.b.11.1', 'twist_class_level': 74, 'twisting_char_label': '37.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 15152983
    {'conductor': 111, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 397, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 1236984136346, 'source_is_minimal': False, 'source_label': '666.2.s.a.397.2', 'source_level': 666, 'target_conrey_index': 11, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503874538831946, 'target_is_minimal': True, 'target_label': '74.2.e.b.11.1', 'target_level': 74, 'twist_class_label': '74.2.e.b.11.1', 'twist_class_level': 74, 'twisting_char_label': '111.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 15152984
    {'conductor': 111, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 397, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 1236984136346, 'source_is_minimal': False, 'source_label': '666.2.s.a.397.2', 'source_level': 666, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014398543039154, 'target_is_minimal': False, 'target_label': '2738.2.a.e.1.2', 'target_level': 2738, 'twist_class_label': '74.2.e.b.11.1', 'twist_class_level': 74, 'twisting_char_label': '111.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 15152985
    {'conductor': 111, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 397, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 1236984136346, 'source_is_minimal': False, 'source_label': '666.2.s.a.397.2', 'source_level': 666, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36028797052521138, 'target_is_minimal': False, 'target_label': '2738.2.a.i.1.2', 'target_level': 2738, 'twist_class_label': '74.2.e.b.11.1', 'twist_class_level': 74, 'twisting_char_label': '111.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 15152986
    {'conductor': 444, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 397, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 1236984136346, 'source_is_minimal': False, 'source_label': '666.2.s.a.397.2', 'source_level': 666, 'target_conrey_index': 529, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18015910371525200, 'target_is_minimal': False, 'target_label': '592.2.w.e.529.1', 'target_level': 592, 'twist_class_label': '74.2.e.b.11.1', 'twist_class_level': 74, 'twisting_char_label': '444.11', 'twisting_conrey_index': 11, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1184850
    {'charpoly_factorization': [[[1, 0, -1, 0, 1], 1]], 'hecke_orbit_code': 1236984136346, 'p': 2}
  • id: 1184851
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 1236984136346, 'p': 3}
  • id: 1184852
    {'charpoly_factorization': [[[3, 3, 1], 2]], 'hecke_orbit_code': 1236984136346, 'p': 5}
  • id: 1184853
    {'charpoly_factorization': [[[4, -2, 1], 2]], 'hecke_orbit_code': 1236984136346, 'p': 7}
  • id: 1184854
    {'charpoly_factorization': [[[6, -6, 1], 2]], 'hecke_orbit_code': 1236984136346, 'p': 11}
  • id: 1184855
    {'charpoly_factorization': [[[12, 6, 1], 2]], 'hecke_orbit_code': 1236984136346, 'p': 13}
  • id: 1184856
    {'charpoly_factorization': [[[1089, -198, -21, 6, 1], 1]], 'hecke_orbit_code': 1236984136346, 'p': 17}
  • id: 1184857
    {'charpoly_factorization': [[[36, -36, 6, 6, 1], 1]], 'hecke_orbit_code': 1236984136346, 'p': 19}
  • id: 1184858
    {'charpoly_factorization': [[[36, 0, 24, 0, 1], 1]], 'hecke_orbit_code': 1236984136346, 'p': 23}
  • id: 1184859
    {'charpoly_factorization': [[[75, 0, 1], 2]], 'hecke_orbit_code': 1236984136346, 'p': 29}
  • id: 1184860
    {'charpoly_factorization': [[[36, 0, 24, 0, 1], 1]], 'hecke_orbit_code': 1236984136346, 'p': 31}
  • id: 1184861
    {'charpoly_factorization': [[[1369, 74, -33, 2, 1], 1]], 'hecke_orbit_code': 1236984136346, 'p': 37}
  • id: 1184862
    {'charpoly_factorization': [[[1521, 234, 75, -6, 1], 1]], 'hecke_orbit_code': 1236984136346, 'p': 41}
  • id: 1184863
    {'charpoly_factorization': [[[144, 0, 168, 0, 1], 1]], 'hecke_orbit_code': 1236984136346, 'p': 43}
  • id: 1184864
    {'charpoly_factorization': [[[6, 6, 1], 2]], 'hecke_orbit_code': 1236984136346, 'p': 47}
  • id: 1184865
    {'charpoly_factorization': [[[576, -288, 120, -12, 1], 1]], 'hecke_orbit_code': 1236984136346, 'p': 53}
  • id: 1184866
    {'charpoly_factorization': [[[576, 288, 24, -12, 1], 1]], 'hecke_orbit_code': 1236984136346, 'p': 59}
  • id: 1184867
    {'charpoly_factorization': [[[3, -3, 1], 2]], 'hecke_orbit_code': 1236984136346, 'p': 61}
  • id: 1184868
    {'charpoly_factorization': [[[4, 20, 102, -10, 1], 1]], 'hecke_orbit_code': 1236984136346, 'p': 67}
  • id: 1184869
    {'charpoly_factorization': [[[144, 0, 12, 0, 1], 1]], 'hecke_orbit_code': 1236984136346, 'p': 71}
  • id: 1184870
    {'charpoly_factorization': [[[-4, 1], 4]], 'hecke_orbit_code': 1236984136346, 'p': 73}
  • id: 1184871
    {'charpoly_factorization': [[[49284, 1332, -210, -6, 1], 1]], 'hecke_orbit_code': 1236984136346, 'p': 79}
  • id: 1184872
    {'charpoly_factorization': [[[4356, 396, 102, -6, 1], 1]], 'hecke_orbit_code': 1236984136346, 'p': 83}
  • id: 1184873
    {'charpoly_factorization': [[[13689, -2106, -9, 18, 1], 1]], 'hecke_orbit_code': 1236984136346, 'p': 89}
  • id: 1184874
    {'charpoly_factorization': [[[1089, 0, 78, 0, 1], 1]], 'hecke_orbit_code': 1236984136346, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 19, 'hecke_orbit': 1, 'label': '666.2.s.a', 'level': 666, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 12579372
    {'hecke_orbit_code': 1236984136346, 'n': 1, 'trace_an': 4}
  • id: 12579373
    {'hecke_orbit_code': 1236984136346, 'n': 2, 'trace_an': 0}
  • id: 12579374
    {'hecke_orbit_code': 1236984136346, 'n': 3, 'trace_an': 0}
  • id: 12579375
    {'hecke_orbit_code': 1236984136346, 'n': 4, 'trace_an': 2}
  • id: 12579376
    {'hecke_orbit_code': 1236984136346, 'n': 5, 'trace_an': -6}
  • id: 12579377
    {'hecke_orbit_code': 1236984136346, 'n': 6, 'trace_an': 0}
  • id: 12579378
    {'hecke_orbit_code': 1236984136346, 'n': 7, 'trace_an': 4}
  • id: 12579379
    {'hecke_orbit_code': 1236984136346, 'n': 8, 'trace_an': 0}
  • id: 12579380
    {'hecke_orbit_code': 1236984136346, 'n': 9, 'trace_an': 0}
  • id: 12579381
    {'hecke_orbit_code': 1236984136346, 'n': 10, 'trace_an': 0}
  • id: 12579382
    {'hecke_orbit_code': 1236984136346, 'n': 11, 'trace_an': 12}
  • id: 12579383
    {'hecke_orbit_code': 1236984136346, 'n': 12, 'trace_an': 0}
  • id: 12579384
    {'hecke_orbit_code': 1236984136346, 'n': 13, 'trace_an': -12}
  • id: 12579385
    {'hecke_orbit_code': 1236984136346, 'n': 14, 'trace_an': 0}
  • id: 12579386
    {'hecke_orbit_code': 1236984136346, 'n': 15, 'trace_an': 0}
  • id: 12579387
    {'hecke_orbit_code': 1236984136346, 'n': 16, 'trace_an': -2}
  • id: 12579388
    {'hecke_orbit_code': 1236984136346, 'n': 17, 'trace_an': -6}
  • id: 12579389
    {'hecke_orbit_code': 1236984136346, 'n': 18, 'trace_an': 0}
  • id: 12579390
    {'hecke_orbit_code': 1236984136346, 'n': 19, 'trace_an': -6}
  • id: 12579391
    {'hecke_orbit_code': 1236984136346, 'n': 20, 'trace_an': -6}
  • id: 12579392
    {'hecke_orbit_code': 1236984136346, 'n': 21, 'trace_an': 0}
  • id: 12579393
    {'hecke_orbit_code': 1236984136346, 'n': 22, 'trace_an': -6}
  • id: 12579394
    {'hecke_orbit_code': 1236984136346, 'n': 23, 'trace_an': 0}
  • id: 12579395
    {'hecke_orbit_code': 1236984136346, 'n': 24, 'trace_an': 0}
  • id: 12579396
    {'hecke_orbit_code': 1236984136346, 'n': 25, 'trace_an': -4}
  • id: 12579397
    {'hecke_orbit_code': 1236984136346, 'n': 26, 'trace_an': 0}
  • id: 12579398
    {'hecke_orbit_code': 1236984136346, 'n': 27, 'trace_an': 0}
  • id: 12579399
    {'hecke_orbit_code': 1236984136346, 'n': 28, 'trace_an': -4}
  • id: 12579400
    {'hecke_orbit_code': 1236984136346, 'n': 29, 'trace_an': 0}
  • id: 12579401
    {'hecke_orbit_code': 1236984136346, 'n': 30, 'trace_an': 0}
  • id: 12579402
    {'hecke_orbit_code': 1236984136346, 'n': 31, 'trace_an': 0}
  • id: 12579403
    {'hecke_orbit_code': 1236984136346, 'n': 32, 'trace_an': 0}
  • id: 12579404
    {'hecke_orbit_code': 1236984136346, 'n': 33, 'trace_an': 0}
  • id: 12579405
    {'hecke_orbit_code': 1236984136346, 'n': 34, 'trace_an': 12}
  • id: 12579406
    {'hecke_orbit_code': 1236984136346, 'n': 35, 'trace_an': -12}
  • id: 12579407
    {'hecke_orbit_code': 1236984136346, 'n': 36, 'trace_an': 0}
  • id: 12579408
    {'hecke_orbit_code': 1236984136346, 'n': 37, 'trace_an': -2}
  • id: 12579409
    {'hecke_orbit_code': 1236984136346, 'n': 38, 'trace_an': -12}
  • id: 12579410
    {'hecke_orbit_code': 1236984136346, 'n': 39, 'trace_an': 0}
  • id: 12579411
    {'hecke_orbit_code': 1236984136346, 'n': 40, 'trace_an': 0}
  • id: 12579412
    {'hecke_orbit_code': 1236984136346, 'n': 41, 'trace_an': 6}
  • id: 12579413
    {'hecke_orbit_code': 1236984136346, 'n': 42, 'trace_an': 0}
  • id: 12579414
    {'hecke_orbit_code': 1236984136346, 'n': 43, 'trace_an': 0}
  • id: 12579415
    {'hecke_orbit_code': 1236984136346, 'n': 44, 'trace_an': 6}
  • id: 12579416
    {'hecke_orbit_code': 1236984136346, 'n': 45, 'trace_an': 0}
  • id: 12579417
    {'hecke_orbit_code': 1236984136346, 'n': 46, 'trace_an': 6}
  • id: 12579418
    {'hecke_orbit_code': 1236984136346, 'n': 47, 'trace_an': -12}
  • id: 12579419
    {'hecke_orbit_code': 1236984136346, 'n': 48, 'trace_an': 0}
  • id: 12579420
    {'hecke_orbit_code': 1236984136346, 'n': 49, 'trace_an': 6}
  • id: 12579421
    {'hecke_orbit_code': 1236984136346, 'n': 50, 'trace_an': 0}
  • id: 12579422
    {'hecke_orbit_code': 1236984136346, 'n': 51, 'trace_an': 0}
  • id: 12579423
    {'hecke_orbit_code': 1236984136346, 'n': 52, 'trace_an': -12}
  • id: 12579424
    {'hecke_orbit_code': 1236984136346, 'n': 53, 'trace_an': 12}
  • id: 12579425
    {'hecke_orbit_code': 1236984136346, 'n': 54, 'trace_an': 0}
  • id: 12579426
    {'hecke_orbit_code': 1236984136346, 'n': 55, 'trace_an': -18}
  • id: 12579427
    {'hecke_orbit_code': 1236984136346, 'n': 56, 'trace_an': 0}
  • id: 12579428
    {'hecke_orbit_code': 1236984136346, 'n': 57, 'trace_an': 0}
  • id: 12579429
    {'hecke_orbit_code': 1236984136346, 'n': 58, 'trace_an': 0}
  • id: 12579430
    {'hecke_orbit_code': 1236984136346, 'n': 59, 'trace_an': 12}
  • id: 12579431
    {'hecke_orbit_code': 1236984136346, 'n': 60, 'trace_an': 0}
  • id: 12579432
    {'hecke_orbit_code': 1236984136346, 'n': 61, 'trace_an': 6}
  • id: 12579433
    {'hecke_orbit_code': 1236984136346, 'n': 62, 'trace_an': 6}
  • id: 12579434
    {'hecke_orbit_code': 1236984136346, 'n': 63, 'trace_an': 0}
  • id: 12579435
    {'hecke_orbit_code': 1236984136346, 'n': 64, 'trace_an': -4}
  • id: 12579436
    {'hecke_orbit_code': 1236984136346, 'n': 65, 'trace_an': 12}
  • id: 12579437
    {'hecke_orbit_code': 1236984136346, 'n': 66, 'trace_an': 0}
  • id: 12579438
    {'hecke_orbit_code': 1236984136346, 'n': 67, 'trace_an': 10}
  • id: 12579439
    {'hecke_orbit_code': 1236984136346, 'n': 68, 'trace_an': 0}
  • id: 12579440
    {'hecke_orbit_code': 1236984136346, 'n': 69, 'trace_an': 0}
  • id: 12579441
    {'hecke_orbit_code': 1236984136346, 'n': 70, 'trace_an': 0}
  • id: 12579442
    {'hecke_orbit_code': 1236984136346, 'n': 71, 'trace_an': 0}
  • id: 12579443
    {'hecke_orbit_code': 1236984136346, 'n': 72, 'trace_an': 0}
  • id: 12579444
    {'hecke_orbit_code': 1236984136346, 'n': 73, 'trace_an': 16}
  • id: 12579445
    {'hecke_orbit_code': 1236984136346, 'n': 74, 'trace_an': 24}
  • id: 12579446
    {'hecke_orbit_code': 1236984136346, 'n': 75, 'trace_an': 0}
  • id: 12579447
    {'hecke_orbit_code': 1236984136346, 'n': 76, 'trace_an': -6}
  • id: 12579448
    {'hecke_orbit_code': 1236984136346, 'n': 77, 'trace_an': 12}
  • id: 12579449
    {'hecke_orbit_code': 1236984136346, 'n': 78, 'trace_an': 0}
  • id: 12579450
    {'hecke_orbit_code': 1236984136346, 'n': 79, 'trace_an': 6}
  • id: 12579451
    {'hecke_orbit_code': 1236984136346, 'n': 80, 'trace_an': 0}
  • id: 12579452
    {'hecke_orbit_code': 1236984136346, 'n': 81, 'trace_an': 0}
  • id: 12579453
    {'hecke_orbit_code': 1236984136346, 'n': 82, 'trace_an': 0}
  • id: 12579454
    {'hecke_orbit_code': 1236984136346, 'n': 83, 'trace_an': 6}
  • id: 12579455
    {'hecke_orbit_code': 1236984136346, 'n': 84, 'trace_an': 0}
  • id: 12579456
    {'hecke_orbit_code': 1236984136346, 'n': 85, 'trace_an': 12}
  • id: 12579457
    {'hecke_orbit_code': 1236984136346, 'n': 86, 'trace_an': -12}
  • id: 12579458
    {'hecke_orbit_code': 1236984136346, 'n': 87, 'trace_an': 0}
  • id: 12579459
    {'hecke_orbit_code': 1236984136346, 'n': 88, 'trace_an': 0}
  • id: 12579460
    {'hecke_orbit_code': 1236984136346, 'n': 89, 'trace_an': -18}
  • id: 12579461
    {'hecke_orbit_code': 1236984136346, 'n': 90, 'trace_an': 0}
  • id: 12579462
    {'hecke_orbit_code': 1236984136346, 'n': 91, 'trace_an': -24}
  • id: 12579463
    {'hecke_orbit_code': 1236984136346, 'n': 92, 'trace_an': -6}
  • id: 12579464
    {'hecke_orbit_code': 1236984136346, 'n': 93, 'trace_an': 0}
  • id: 12579465
    {'hecke_orbit_code': 1236984136346, 'n': 94, 'trace_an': 6}
  • id: 12579466
    {'hecke_orbit_code': 1236984136346, 'n': 95, 'trace_an': 6}
  • id: 12579467
    {'hecke_orbit_code': 1236984136346, 'n': 96, 'trace_an': 0}
  • id: 12579468
    {'hecke_orbit_code': 1236984136346, 'n': 97, 'trace_an': 0}
  • id: 12579469
    {'hecke_orbit_code': 1236984136346, 'n': 98, 'trace_an': 0}
  • id: 12579470
    {'hecke_orbit_code': 1236984136346, 'n': 99, 'trace_an': 0}
  • id: 12579471
    {'hecke_orbit_code': 1236984136346, 'n': 100, 'trace_an': -8}