Embedded newform data - 8325.2.a.bt.1.1

Formats: - HTML - YAML - JSON - 2026-09-14T10:03:46.672800

• 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': 33300, 'analytic_conductor': 66.47545968271592, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, -1], [37, 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': [8325, 1, [3701, 7327, 5626], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 4400, 'field_disc_factorization': [[2, 4], [5, 2], [11, 1]], 'field_poly': [11, 0, -7, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-1, 1, 1]], [7, [-5, 0, 16, 8, 1]], [11, [5, 10, -1, -4, 1]], [13, [5, 10, -14, 2, 1]]], 'hecke_orbit': 46, 'hecke_orbit_code': 202661983265235077, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '8325.2.a.bt', 'level': 8325, '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': [3, 5, 37], 'level_radical': 555, 'minimal_twist': '555.2.c.b', 'nf_label': '4.4.4400.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-1-\\beta _{2})q^{2}+\\beta _{2}q^{4}+(-2-\\beta _{3})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '8325.2.a', 'trace_display': [-2, 0, 0, -8], 'trace_hash': 795754841700715, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '3.730', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.072', 'prec': 7}, {'__RealLiteral__': 0, 'data': '38.229', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.065', 'prec': 14}, {'__RealLiteral__': 0, 'data': '608.303', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.011', 'prec': 7}, 'traces': [4, -2, 0, -2, 0, 0, -8, 0, 0, 0, 4, 0, -2, 4, 0, -6, -2, 0, -4, 0, 0, -2, 0, 0, 0, 6, 0, 4, 12, 0, -2, 18, 0, 6, 0, 0, -4, 2, 0, 0, 26, 0, -6, -2, 0, -10, -6, 0, 4, 0, 0, -4, 0, 0, 0, 0, 0, -16, 12, 0, -6, 16, 0, 8, 0, 0, -8, -4, 0, 0, 34, 0, -20, 2, 0, 2, -10, 0, 6, 0, 0, -18, 2, 0, 0, 8, 0, 0, 24, 0, -10, 10, 0, 8, 0, 0, 14, 8, 0, 0, -10, 0, -10, -10, 0, 0, -16, 0, -24, 0, 0, 12, -6, 0, 0, 4, 0, -16, 8, 0, -26, -12, 0, -14, 0, 0, 28, -50, 0, 0, 8, 0, -10, 4, 0, -10, -12, 0, -14, 0, 0, -12, -14, 0, 0, 20, 0, 2, 22, 0, -24, 0, 0, -10, 0, 0, 8, -38, 0, 0, 32, 0, -20, -8, 0, 14, -34, 0, -20, 0, 0, -2, -2, 0, 0, -6, 0, 8, 4, 0, -26, 0, 0, 20, 0, 0, -30, -2, 0, 0, -16, 0, 20, 18, 0, -12, -6, 0, 2, 0, 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0, 0, -144, 24, 0, 0, -88, 0, 12, 122, 0, -46, 144, 0, 150, 0, 0, -68, 82, 0, 0, -40, 0, -120, -152, 0, 162, -4, 0, -130, 0, 0, -64, -20, 0, 0, -28, 0, 20, 62, 0, -90, -34, 0, 42, 0, 0, 70, 16, 0, 0, -60, 0, 112, -90, 0, 14, -72, 0, -150, 0, 0, 90, 0, 0, 0, -148, 0, 0, 112, 0, 24, 96, 0, 142, 0, 0, 6, -96, 0, 0, -72, 0, 60, -196, 0, -8, 186, 0, 108, 0, 0, -66, 22, 0, 0, -136, 0, 6, 16, 0, 80, -194, 0, -66, 0, 0, -76, 8, 0, 0, 180, 0, -8, -56, 0, 20, 160, 0, -60, 0, 0, 54, 130, 0, 0, -102, 0, -68, -80, 0, 66, 18, 0, 72, 0, 0, -40, -116, 0, 0, 184, 0, -20, -54, 0, 96, 72, 0, -32, 0, 0, -52, -2, 0, 0, -66, 0, -40, 120, 0, 12, -88, 0, 52, 0, 0, -22, 8, 0, 0, -32, 0, -74, 54, 0, 118, 58, 0, -170, 0, 0, 8, -12, 0, 0, 112, 0, -68, -70, 0, -40, -4, 0, 124, 0, 0, -132, 2, 0, 0, -34, 0, -54, 104, 0, -36, -190, 0, -74, 0, 0, 186, -6, 0, 0, -114, 0, 88, -32, 0, -28, 0, 0, -76, 0, 0, -2, 32, 0, 0, 14, 0, 38, -130, 0, 0, -32, 0, -100, 0, 0, 118, 10, 0, 0, -160, 0, 204, -148, 0, -68, -54, 0, -2, 0, 0, -16, -118, 0, 0, 70, 0, 128, 10, 0, -110, 42, 0, -46, 0, 0, -56, -134, 0, 0, -320, 0, 210, -36, 0, -172, 32, 0, 120, 0, 0, 30, -124, 0, 0, 136, 0, -100, 88, 0, -66, 34, 0, 102, 0, 0, 20, -70, 0, 0, 192, 0, -44, 128, 0, 84, -138, 0, 46, 0, 0, 44, -118, 0, 0, -8, 0, -70, -240, 0, 206, -50, 0, -98, 0, 0, -246, 8, 0, 0, 40, 0, -6, -18, 0, -10, 222, 0, -110, 0, 0, 40, 20, 0, 0, -100, 0, 106, 70, 0, 104, -32, 0, -10, 0, 0, 94, 10, 0, 0, -196, 0, -104, 56, 0, 72, 76, 0, 10, 0, 0, -202, -282, 0, 0, -64, 0, 100, 54, 0, 58, 96, 0, 52, 0, 0, 180, 66, 0, 0, -84, 0, 106, -80, 0, -42, 20, 0, -28, 0, 0, 90, -110, 0, 0, -84, 0, 4, -40, 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], [-1.1441228056353685, 0.0], [0.0, 0.0], [0.30901699437494745, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.2579152893870778, 0.0], [0.7905694150420949, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.3464248187165349, 0.0], [0.0, 0.0], [0.5156099683714962, 0.0], [1.4392095701451701, 0.0], [0.0, 0.0], [-1.2135254915624212, 0.0], [0.6499683825945922, 0.0], [0.0, 0.0], [-0.4177270772344506, 0.0], [0.0, 0.0], [0.0, 0.0], [0.39635253553168587, 0.0], [-0.08761652127806015, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.5899211236267599, 0.0], [0.0, 0.0], [-0.388717201904687, 0.0], [1.8646209598180523, 0.0], [0.0, 0.0], [-1.0781819625980078, 0.0], [0.5978527750743422, 0.0], [0.0, 0.0], [-0.7436436494684076, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.1643989873053573, 0.0], [0.47793107559534187, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6467064619312147, 0.0], [0.0, 0.0], [-1.2572115266960513, 0.0], [-0.10705115625666965, 0.0], [0.0, 0.0], [0.10024406014466515, 0.0], [-1.7097097431835673, 0.0], [0.0, 0.0], [0.5823508752737758, 0.0], [0.0, 0.0], [0.0, 0.0], [0.15933224269592144, 0.0], [-0.22549937518228896, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9944693545032496, 0.0], [0.0, 0.0], [-2.1333553639935436, 0.0], [0.920630872812763, 0.0], [0.0, 0.0], [-0.03775284885059986, 0.0], [1.2335725720330808, 0.0], [0.0, 0.0], [0.5295084971874737, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5432732771799221, 0.0], [0.20085127602812677, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2285275656503167, 0.0], [0.0, 0.0], [-1.0617387567314538, 0.0], [0.18809263059941872, 0.0], [0.0, 0.0], [-0.12908476587602144, 0.0], [0.435773076086676, 0.0], [0.0, 0.0], [1.0845585361697982, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.739911611647264, 0.0], [0.012698549431320975, 0.0], [0.0, 0.0], [0.0, 0.0], [1.4384043792006114, 0.0], [0.0, 0.0], [-0.27387286628879476, 0.0], [0.5842980864761298, 0.0], [0.0, 0.0], [-0.6485936625748927, 0.0], [-0.027074994062934774, 0.0], [0.0, 0.0], [1.9561179081933084, 0.0], [0.0, 0.0], [0.0, 0.0], [0.14082061615828054, 0.0], [-0.666280917282445, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [-0.34692805304737534, None, None, -0.3582590590350478, -0.2777073559345335, -0.208500395999084, -0.19732050770436024, -0.28348822506618077, -0.2569745333217567, -0.058894751463733394, -0.34061605395174616, None, -0.19759490055690923, -0.35818703619230324, -0.41317695922472364, -0.2679829095178436, -0.17386815580717174, -0.2530044546974523, -0.2062175566177361, -0.14472654195068405, -0.3390672612727086, -0.15878073971474826, -0.24898947475427724, -0.20281483334484168, -0.2387845714181604, -0.30963596269240257, -0.29842092752923355, -0.1541074837297856, -0.14516136242203867, -0.30943606309884236, -0.23967573765607778, -0.19594495157762012, -0.2887029363400059, -0.20511390580570593, -0.15960384244621842, -0.33256685852007006, -0.28257565854448924, -0.04789829300776083, -0.3928273918137374, -0.0924864557698405, -0.3542342147303444, -0.21983768379601643, -0.10807541454633351, -0.031037187548496763, -0.3378901903136139, -0.3578595627994412, -0.17340143415176446, -0.2673951140536769, -0.3885887535044477, -0.09034471845504333, -0.13208467678592717, -0.3445881059694615, -0.2846621982597316, -0.38733904209359726, -0.3159958240736804, -0.2892529072800086, -0.1708788935777578, -0.20359820122525507, -0.27596794653728435, -0.186419589798449, -0.3030986969519999, -0.18285117757948907, -0.3234790895129322, -0.3642803365524175, -0.2827636668100461, -0.2965111095938947, -0.38081578902810553, -0.19174700303291894, -0.23248174534454796, -0.31483477245637, -0.4246840006074758, -0.27782660918026214, -0.43194472298449643, -0.26474069075667217, -0.37676669888689357, -0.21375227844978606, -0.23445928260802568, -0.29318988819267233, -0.15572316229412986, -0.37715066312505974, -0.09539211236878875, -0.15930758758904726, -0.3904229212308841, -0.15083564015315276, -0.12184597123511787, -0.2950635045534154, -0.08652426742164435, -0.43489054360075535, -0.24959934310892795, -0.2180323105549101, -0.21749015110371664, -0.23846712877545007, -0.18133072040081427, -0.08381652317468559, -0.22542320516436518, -0.3932452501916728, -0.29858505210603037, -0.3556757631197308, -0.38911099366177715, -0.2264881002808246], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 2.148961141749635, 'hecke_orbit': 46, 'hecke_orbit_code': 202661983265235077, 'label': '8325.2.a.bt.1.1', 'level': 8325, '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

  
  {'ALdims': [24, 30, 32, 28, 42, 39, 44, 46], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [112, 111, 111, 109, 102, 99, 92, 96], 'Nk2': 33300, 'analytic_conductor': 66.47545968271592, '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': [8325, 1, [3701, 7327, 5626], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1117, 'dim': 285, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11, 13], 'hecke_orbit_code': 33562757, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 8, 8, 9, 9, 10, 10, 13, 13, 16, 16], 'label': '8325.2.a', 'level': 8325, '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': [3, 5, 37], 'level_radical': 555, 'mf_dim': 1164, 'mf_new_dim': 285, 'num_forms': 76, 'plus_dim': 135, 'prim_orbit_index': 1, 'relative_dim': 285, 'sturm_bound': 2280, 'trace_bound': 13, 'trace_display': [-1, 0, 0, 2], 'traces': [285, -1, 0, 289, 0, 0, 2, -15, 0, 0, 2, 0, 8, -2, 0, 297, 0, 0, 14, 0, 0, 2, -4, 0, 0, -18, 0, 4, 22, 0, 12, -11, 0, -10, 0, 0, 1, 4, 0, 0, -4, 0, 18, -20, 0, -28, 14, 0, 291, 0, 0, 10, 12, 0, 0, -28, 0, -10, -44, 0, -2, -32, 0, 301, 0, 0, 16, 46, 0, 0, 2, 0, 48, 5, 0, 4, -46, 0, -18, 0, 0, 4, 6, 0, 0, 8, 0, -36, 32, 0, -34, -72, 0, -94, 0, 0, 54, -7, 0, 0, -4, 0, -6, -22, 0, -64, -28, 0, -12, 0, 0, -32, -18, 0, 0, 22, 0, -8, 34, 0, 343, -22, 0, -56, 0, 0, -18, 5, 0, 0, -6, 0, 22, -64, 0, -114, 14, 0, 32, 0, 0, 18, -2, 0, 0, -152, 0, 3, 16, 0, -88, -48, 0, -18, 0, 0, 48, -28, 0, 0, 12, 0, -2, -98, 0, -86, 6, 0, 355, 0, 0, 48, 12, 0, 0, -60, 0, 14, -12, 0, 48, -76, 0, -12, 0, 0, -18, 184, 0, 0, 68, 0, 40, 170, 0, 533, 100, 0, -140, 0, 0, 52, -12, 0, 0, -40, 0, 158, 2, 0, 50, -54, 0, 40, 0, 0, 52, 74, 0, 0, 0, 0, -6, 56, 0, -18, 40, 0, 72, 0, 0, -22, 118, 0, 0, -112, 0, 32, -68, 0, -2, -23, 0, -130, 0, 0, -24, -36, 0, 0, 38, 0, -16, -22, 0, 161, -50, 0, -8, 0, 0, 52, -26, 0, 0, 152, 0, -112, -118, 0, -34, 74, 0, -110, 0, 0, 30, 96, 0, 0, 10, 0, -68, 280, 0, -176, -26, 0, 403, 0, 0, 102, -38, 0, 0, 15, 0, -68, 72, 0, -74, 88, 0, 48, 0, 0, 82, -184, 0, 0, 74, 0, 88, 136, 0, -172, 54, 0, -172, 0, 0, 40, -68, 0, 0, 144, 0, 6, 138, 0, -200, 296, 0, -100, 0, 0, -60, -15, 0, 0, 156, 0, -110, 36, 0, 28, -40, 0, -158, 0, 0, 44, -4, 0, 0, 322, 0, -108, -86, 0, 357, -172, 0, 236, 0, 0, -52, -72, 0, 0, -42, 0, -88, 244, 0, -296, 136, 0, -174, 0, 0, -168, -8, 0, 0, -46, 0, 86, -110, 0, -204, 181, 0, 88, 0, 0, -64, 48, 0, 0, -96, 0, 36, 206, 0, -20, -20, 0, 46, 0, 0, 108, -36, 0, 0, -218, 0, 56, -262, 0, 80, 38, 0, -66, 0, 0, -16, -56, 0, 0, -150, 0, 116, 136, 0, -334, 56, 0, -260, 0, 0, 180, -134, 0, 0, 214, 0, -20, -48, 0, 14, -50, 0, 232, 0, 0, -100, 232, 0, 0, -36, 0, 48, 14, 0, 210, -12, 0, 12, 0, 0, -12, -18, 0, 0, 132, 0, 20, 148, 0, -4, 194, 0, 393, 0, 0, -90, -30, 0, 0, 0, 0, 104, 20, 0, 160, -98, 0, 104, 0, 0, -168, -134, 0, 0, 0, 0, 140, -148, 0, 42, -75, 0, 238, 0, 0, -102, 6, 0, 0, -84, 0, -22, -12, 0, 42, -100, 0, 157, 0, 0, 256, 74, 0, 0, 0, 0, -238, -44, 0, -46, 2, 0, -494, 0, 0, -8, -58, 0, 0, -224, 0, 94, -158, 0, -184, 102, 0, -84, 0, 0, -174, -34, 0, 0, 100, 0, -96, 130, 0, -150, 180, 0, -62, 0, 0, -80, -199, 0, 0, 18, 0, -90, 218, 0, -218, -82, 0, 96, 0, 0, -9, -92, 0, 0, 86, 0, -56, -210, 0, -146, 128, 0, 64, 0, 0, -70, 68, 0, 0, -106, 0, 184, 170, 0, -32, -56, 0, 222, 0, 0, -24, 106, 0, 0, 190, 0, 190, 24, 0, -42, -200, 0, -342, 0, 0, 62, 268, 0, 0, 4, 0, -72, 112, 0, 192, -182, 0, 80, 0, 0, 96, -34, 0, 0, 322, 0, -186, 54, 0, -88, -220, 0, -192, 0, 0, -96, -304, 0, 0, 380, 0, 20, 36, 0, 511, -132, 0, 100, 0, 0, 80, -178, 0, 0, 94, 0, 84, 122, 0, 56, 38, 0, -216, 0, 0, 34, 242, 0, 0, 178, 0, 6, -188, 0, -2, -34, 0, 0, 0, 0, -10, -4, 0, 0, 96, 0, -94, -46, 0, -418, 135, 0, 98, 0, 0, -174, 112, 0, 0, 60, 0, -20, 256, 0, -364, -84, 0, 206, 0, 0, -154, 102, 0, 0, -336, 0, -4, -132, 0, 214, 596, 0, -96, 0, 0, -154, 50, 0, 0, -56, 0, 2, 120, 0, -144, 36, 0, -174, 0, 0, 170, 268, 0, 0, 606, 0, 198, 190, 0, 126, -164, 0, 317, 0, 0, 38, 182, 0, 0, -152, 0, -68, -272, 0, -416, -78, 0, 330, 0, 0, -14, -50, 0, 0, -16, 0, 230, 122, 0, 278, -228, 0, -26, 0, 0, 76, 94, 0, 0, -248, 0, -116, -136, 0, -172, 188, 0, 146, 0, 0, 310, 6, 0, 0, 460, 0, 98, 216, 0, 239, 26, 0, -196, 0, 0, 100, -126, 0, 0, 12, 0, 138, -120, 0, -12, 132, 0, -126, 0, 0, 64, -140, 0, 0, -216, 0, -148, -74, 0, 124, 274, 0, 912, 0, 0, 46, -176, 0, 0, -254, 0, 40, 296, 0, -326, 246, 0, -346, 0, 0, 220, -166, 0, 0, 332, 0, 106, -168, 0, 110, -402, 0, -122, 0, 0, -88, 284, 0, 0, 6, 0, 114, -358, 0, 702, -94, 0, 58, 0, 0, 46, -182, 0, 0, -280, 0, -246, -206, 0, 308, 374, 0, -184, 0, 0, -84, 76, 0, 0, -142, 0, 24, -128, 0, -112, 182, 0, 22, 0, 0, 344, 184, 0, 0, -424, 0, -252, 304, 0, -7, -38, 0, -274, 0, 0, -116, -83, 0, 0, -36, 0, -184, -432, 0, 134, 38, 0, 10, 0, 0, -108, -222, 0, 0, 328, 0, -200, 88, 0, -190, -56, 0, -278, 0, 0, -142, -360, 0, 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: 49002795
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 202661983265235077, 'source_is_minimal': False, 'source_label': '8325.2.a.bt.1.1', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 202661983265235077, 'target_is_minimal': False, 'target_label': '8325.2.a.bt.1.1', 'target_level': 8325, 'twist_class_label': '555.2.c.b.334.2', 'twist_class_level': 555, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 49002796
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 202661983265235077, 'source_is_minimal': False, 'source_label': '8325.2.a.bt.1.1', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 108086391090449111, 'target_is_minimal': False, 'target_label': '2775.2.a.y.1.3', 'target_level': 2775, 'twist_class_label': '555.2.c.b.334.2', 'twist_class_level': 555, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 49002797
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 202661983265235077, 'source_is_minimal': False, 'source_label': '8325.2.a.bt.1.1', 'source_level': 8325, 'target_conrey_index': 334, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510936354621057, 'target_is_minimal': False, 'target_label': '1665.2.c.d.334.1', 'target_level': 1665, 'twist_class_label': '555.2.c.b.334.2', 'twist_class_level': 555, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 49002798
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 202661983265235077, 'source_is_minimal': False, 'source_label': '8325.2.a.bt.1.1', 'source_level': 8325, 'target_conrey_index': 334, 'target_dim': 8, 'target_embedding_index': 7, 'target_hecke_orbit_code': 13510936354621057, 'target_is_minimal': False, 'target_label': '1665.2.c.d.334.7', 'target_level': 1665, 'twist_class_label': '555.2.c.b.334.2', 'twist_class_level': 555, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 49002799
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 202661983265235077, 'source_is_minimal': False, 'source_label': '8325.2.a.bt.1.1', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 216172782147346565, 'target_is_minimal': False, 'target_label': '8325.2.a.bw.1.4', 'target_level': 8325, 'twist_class_label': '555.2.c.b.334.2', 'twist_class_level': 555, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 49002800
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 202661983265235077, 'source_is_minimal': False, 'source_label': '8325.2.a.bt.1.1', 'source_level': 8325, 'target_conrey_index': 334, 'target_dim': 8, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4503737099878955, 'target_is_minimal': True, 'target_label': '555.2.c.b.334.8', 'target_level': 555, 'twist_class_label': '555.2.c.b.334.2', 'twist_class_level': 555, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 49002801
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 202661983265235077, 'source_is_minimal': False, 'source_label': '8325.2.a.bt.1.1', 'source_level': 8325, 'target_conrey_index': 334, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503737099878955, 'target_is_minimal': True, 'target_label': '555.2.c.b.334.2', 'target_level': 555, 'twist_class_label': '555.2.c.b.334.2', 'twist_class_level': 555, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 49002802
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 202661983265235077, 'source_is_minimal': False, 'source_label': '8325.2.a.bt.1.1', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 99079191835708119, 'target_is_minimal': False, 'target_label': '2775.2.a.w.1.2', 'target_level': 2775, 'twist_class_label': '555.2.c.b.334.2', 'twist_class_level': 555, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4722475
    {'charpoly_factorization': [[[-1, 1, 1], 2]], 'hecke_orbit_code': 202661983265235077, 'p': 2}
  • id: 4722476
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 202661983265235077, 'p': 3}
  • id: 4722477
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 202661983265235077, 'p': 5}
  • id: 4722478
    {'charpoly_factorization': [[[-5, 0, 16, 8, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 7}
  • id: 4722479
    {'charpoly_factorization': [[[5, 10, -1, -4, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 11}
  • id: 4722480
    {'charpoly_factorization': [[[5, 10, -14, 2, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 13}
  • id: 4722481
    {'charpoly_factorization': [[[145, -10, -29, 2, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 17}
  • id: 4722482
    {'charpoly_factorization': [[[-5, -30, -11, 4, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 19}
  • id: 4722483
    {'charpoly_factorization': [[[41, 80, -42, 0, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 23}
  • id: 4722484
    {'charpoly_factorization': [[[-49, 112, 9, -12, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 29}
  • id: 4722485
    {'charpoly_factorization': [[[59, -14, -28, 2, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 31}
  • id: 4722486
    {'charpoly_factorization': [[[1, 1], 4]], 'hecke_orbit_code': 202661983265235077, 'p': 37}
  • id: 4722487
    {'charpoly_factorization': [[[1289, -922, 238, -26, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 41}
  • id: 4722488
    {'charpoly_factorization': [[[5, -20, -21, 6, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 43}
  • id: 4722489
    {'charpoly_factorization': [[[-1, -58, -72, 6, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 47}
  • id: 4722490
    {'charpoly_factorization': [[[176, 0, -68, 0, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 53}
  • id: 4722491
    {'charpoly_factorization': [[[-1949, 812, -41, -12, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 59}
  • id: 4722492
    {'charpoly_factorization': [[[-25, -90, -16, 6, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 61}
  • id: 4722493
    {'charpoly_factorization': [[[655, -220, -39, 8, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 67}
  • id: 4722494
    {'charpoly_factorization': [[[2801, -1784, 391, -34, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 71}
  • id: 4722495
    {'charpoly_factorization': [[[-3625, -800, 55, 20, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 73}
  • id: 4722496
    {'charpoly_factorization': [[[-6245, 2440, -221, -6, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 79}
  • id: 4722497
    {'charpoly_factorization': [[[11, -88, -61, -2, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 83}
  • id: 4722498
    {'charpoly_factorization': [[[-725, 120, 104, -24, 1], 1]], 'hecke_orbit_code': 202661983265235077, 'p': 89}
  • id: 4722499
    {'charpoly_factorization': [[[-631, 482, -2, -14, 1], 1]], 'hecke_orbit_code': 202661983265235077, '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': 1, 'hecke_orbit': 46, 'label': '8325.2.a.bt', 'level': 8325, '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: 71202043
    {'hecke_orbit_code': 202661983265235077, 'n': 1, 'trace_an': 4}
  • id: 71202044
    {'hecke_orbit_code': 202661983265235077, 'n': 2, 'trace_an': -2}
  • id: 71202045
    {'hecke_orbit_code': 202661983265235077, 'n': 3, 'trace_an': 0}
  • id: 71202046
    {'hecke_orbit_code': 202661983265235077, 'n': 4, 'trace_an': -2}
  • id: 71202047
    {'hecke_orbit_code': 202661983265235077, 'n': 5, 'trace_an': 0}
  • id: 71202048
    {'hecke_orbit_code': 202661983265235077, 'n': 6, 'trace_an': 0}
  • id: 71202049
    {'hecke_orbit_code': 202661983265235077, 'n': 7, 'trace_an': -8}
  • id: 71202050
    {'hecke_orbit_code': 202661983265235077, 'n': 8, 'trace_an': 0}
  • id: 71202051
    {'hecke_orbit_code': 202661983265235077, 'n': 9, 'trace_an': 0}
  • id: 71202052
    {'hecke_orbit_code': 202661983265235077, 'n': 10, 'trace_an': 0}
  • id: 71202053
    {'hecke_orbit_code': 202661983265235077, 'n': 11, 'trace_an': 4}
  • id: 71202054
    {'hecke_orbit_code': 202661983265235077, 'n': 12, 'trace_an': 0}
  • id: 71202055
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  • id: 71202056
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  • id: 71202057
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  • id: 71202058
    {'hecke_orbit_code': 202661983265235077, 'n': 16, 'trace_an': -6}
  • id: 71202059
    {'hecke_orbit_code': 202661983265235077, 'n': 17, 'trace_an': -2}
  • id: 71202060
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  • id: 71202061
    {'hecke_orbit_code': 202661983265235077, 'n': 19, 'trace_an': -4}
  • id: 71202062
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  • id: 71202063
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  • id: 71202064
    {'hecke_orbit_code': 202661983265235077, 'n': 22, 'trace_an': -2}
  • id: 71202065
    {'hecke_orbit_code': 202661983265235077, 'n': 23, 'trace_an': 0}
  • id: 71202066
    {'hecke_orbit_code': 202661983265235077, 'n': 24, 'trace_an': 0}
  • id: 71202067
    {'hecke_orbit_code': 202661983265235077, 'n': 25, 'trace_an': 0}
  • id: 71202068
    {'hecke_orbit_code': 202661983265235077, 'n': 26, 'trace_an': 6}
  • id: 71202069
    {'hecke_orbit_code': 202661983265235077, 'n': 27, 'trace_an': 0}
  • id: 71202070
    {'hecke_orbit_code': 202661983265235077, 'n': 28, 'trace_an': 4}
  • id: 71202071
    {'hecke_orbit_code': 202661983265235077, 'n': 29, 'trace_an': 12}
  • id: 71202072
    {'hecke_orbit_code': 202661983265235077, 'n': 30, 'trace_an': 0}
  • id: 71202073
    {'hecke_orbit_code': 202661983265235077, 'n': 31, 'trace_an': -2}
  • id: 71202074
    {'hecke_orbit_code': 202661983265235077, 'n': 32, 'trace_an': 18}
  • id: 71202075
    {'hecke_orbit_code': 202661983265235077, 'n': 33, 'trace_an': 0}
  • id: 71202076
    {'hecke_orbit_code': 202661983265235077, 'n': 34, 'trace_an': 6}
  • id: 71202077
    {'hecke_orbit_code': 202661983265235077, 'n': 35, 'trace_an': 0}
  • id: 71202078
    {'hecke_orbit_code': 202661983265235077, 'n': 36, 'trace_an': 0}
  • id: 71202079
    {'hecke_orbit_code': 202661983265235077, 'n': 37, 'trace_an': -4}
  • id: 71202080
    {'hecke_orbit_code': 202661983265235077, 'n': 38, 'trace_an': 2}
  • id: 71202081
    {'hecke_orbit_code': 202661983265235077, 'n': 39, 'trace_an': 0}
  • id: 71202082
    {'hecke_orbit_code': 202661983265235077, 'n': 40, 'trace_an': 0}
  • id: 71202083
    {'hecke_orbit_code': 202661983265235077, 'n': 41, 'trace_an': 26}
  • id: 71202084
    {'hecke_orbit_code': 202661983265235077, 'n': 42, 'trace_an': 0}
  • id: 71202085
    {'hecke_orbit_code': 202661983265235077, 'n': 43, 'trace_an': -6}
  • id: 71202086
    {'hecke_orbit_code': 202661983265235077, 'n': 44, 'trace_an': -2}
  • id: 71202087
    {'hecke_orbit_code': 202661983265235077, 'n': 45, 'trace_an': 0}
  • id: 71202088
    {'hecke_orbit_code': 202661983265235077, 'n': 46, 'trace_an': -10}
  • id: 71202089
    {'hecke_orbit_code': 202661983265235077, 'n': 47, 'trace_an': -6}
  • id: 71202090
    {'hecke_orbit_code': 202661983265235077, 'n': 48, 'trace_an': 0}
  • id: 71202091
    {'hecke_orbit_code': 202661983265235077, 'n': 49, 'trace_an': 4}
  • id: 71202092
    {'hecke_orbit_code': 202661983265235077, 'n': 50, 'trace_an': 0}
  • id: 71202093
    {'hecke_orbit_code': 202661983265235077, 'n': 51, 'trace_an': 0}
  • id: 71202094
    {'hecke_orbit_code': 202661983265235077, 'n': 52, 'trace_an': -4}
  • id: 71202095
    {'hecke_orbit_code': 202661983265235077, 'n': 53, 'trace_an': 0}
  • id: 71202096
    {'hecke_orbit_code': 202661983265235077, 'n': 54, 'trace_an': 0}
  • id: 71202097
    {'hecke_orbit_code': 202661983265235077, 'n': 55, 'trace_an': 0}
  • id: 71202098
    {'hecke_orbit_code': 202661983265235077, 'n': 56, 'trace_an': 0}
  • id: 71202099
    {'hecke_orbit_code': 202661983265235077, 'n': 57, 'trace_an': 0}
  • id: 71202100
    {'hecke_orbit_code': 202661983265235077, 'n': 58, 'trace_an': -16}
  • id: 71202101
    {'hecke_orbit_code': 202661983265235077, 'n': 59, 'trace_an': 12}
  • id: 71202102
    {'hecke_orbit_code': 202661983265235077, 'n': 60, 'trace_an': 0}
  • id: 71202103
    {'hecke_orbit_code': 202661983265235077, 'n': 61, 'trace_an': -6}
  • id: 71202104
    {'hecke_orbit_code': 202661983265235077, 'n': 62, 'trace_an': 16}
  • id: 71202105
    {'hecke_orbit_code': 202661983265235077, 'n': 63, 'trace_an': 0}
  • id: 71202106
    {'hecke_orbit_code': 202661983265235077, 'n': 64, 'trace_an': 8}
  • id: 71202107
    {'hecke_orbit_code': 202661983265235077, 'n': 65, 'trace_an': 0}
  • id: 71202108
    {'hecke_orbit_code': 202661983265235077, 'n': 66, 'trace_an': 0}
  • id: 71202109
    {'hecke_orbit_code': 202661983265235077, 'n': 67, 'trace_an': -8}
  • id: 71202110
    {'hecke_orbit_code': 202661983265235077, 'n': 68, 'trace_an': -4}
  • id: 71202111
    {'hecke_orbit_code': 202661983265235077, 'n': 69, 'trace_an': 0}
  • id: 71202112
    {'hecke_orbit_code': 202661983265235077, 'n': 70, 'trace_an': 0}
  • id: 71202113
    {'hecke_orbit_code': 202661983265235077, 'n': 71, 'trace_an': 34}
  • id: 71202114
    {'hecke_orbit_code': 202661983265235077, 'n': 72, 'trace_an': 0}
  • id: 71202115
    {'hecke_orbit_code': 202661983265235077, 'n': 73, 'trace_an': -20}
  • id: 71202116
    {'hecke_orbit_code': 202661983265235077, 'n': 74, 'trace_an': 2}
  • id: 71202117
    {'hecke_orbit_code': 202661983265235077, 'n': 75, 'trace_an': 0}
  • id: 71202118
    {'hecke_orbit_code': 202661983265235077, 'n': 76, 'trace_an': 2}
  • id: 71202119
    {'hecke_orbit_code': 202661983265235077, 'n': 77, 'trace_an': -10}
  • id: 71202120
    {'hecke_orbit_code': 202661983265235077, 'n': 78, 'trace_an': 0}
  • id: 71202121
    {'hecke_orbit_code': 202661983265235077, 'n': 79, 'trace_an': 6}
  • id: 71202122
    {'hecke_orbit_code': 202661983265235077, 'n': 80, 'trace_an': 0}
  • id: 71202123
    {'hecke_orbit_code': 202661983265235077, 'n': 81, 'trace_an': 0}
  • id: 71202124
    {'hecke_orbit_code': 202661983265235077, 'n': 82, 'trace_an': -18}
  • id: 71202125
    {'hecke_orbit_code': 202661983265235077, 'n': 83, 'trace_an': 2}
  • id: 71202126
    {'hecke_orbit_code': 202661983265235077, 'n': 84, 'trace_an': 0}
  • id: 71202127
    {'hecke_orbit_code': 202661983265235077, 'n': 85, 'trace_an': 0}
  • id: 71202128
    {'hecke_orbit_code': 202661983265235077, 'n': 86, 'trace_an': 8}
  • id: 71202129
    {'hecke_orbit_code': 202661983265235077, 'n': 87, 'trace_an': 0}
  • id: 71202130
    {'hecke_orbit_code': 202661983265235077, 'n': 88, 'trace_an': 0}
  • id: 71202131
    {'hecke_orbit_code': 202661983265235077, 'n': 89, 'trace_an': 24}
  • id: 71202132
    {'hecke_orbit_code': 202661983265235077, 'n': 90, 'trace_an': 0}
  • id: 71202133
    {'hecke_orbit_code': 202661983265235077, 'n': 91, 'trace_an': -10}
  • id: 71202134
    {'hecke_orbit_code': 202661983265235077, 'n': 92, 'trace_an': 10}
  • id: 71202135
    {'hecke_orbit_code': 202661983265235077, 'n': 93, 'trace_an': 0}
  • id: 71202136
    {'hecke_orbit_code': 202661983265235077, 'n': 94, 'trace_an': 8}
  • id: 71202137
    {'hecke_orbit_code': 202661983265235077, 'n': 95, 'trace_an': 0}
  • id: 71202138
    {'hecke_orbit_code': 202661983265235077, 'n': 96, 'trace_an': 0}
  • id: 71202139
    {'hecke_orbit_code': 202661983265235077, 'n': 97, 'trace_an': 14}
  • id: 71202140
    {'hecke_orbit_code': 202661983265235077, 'n': 98, 'trace_an': 8}
  • id: 71202141
    {'hecke_orbit_code': 202661983265235077, 'n': 99, 'trace_an': 0}
  • id: 71202142
    {'hecke_orbit_code': 202661983265235077, 'n': 100, 'trace_an': 0}