Embedded newform data - 513.2.a.i.1.3

Formats: - HTML - YAML - JSON - 2025-09-17T03:32:21.092890

• 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': 2052, 'analytic_conductor': 4.096325623691683, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [19, 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': [513, 1, [191, 325], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 29952, 'field_disc_factorization': [[2, 8], [3, 2], [13, 1]], 'field_poly': [13, 0, -8, 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': 1, 'hecke_cutters': [[2, [13, 0, -8, 0, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797052518913, '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, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '513.2.a.i', 'level': 513, '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, 19], 'level_radical': 57, 'minimal_twist': '513.2.a.i', 'nf_label': '4.4.29952.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{2}+(2+\\beta _{2})q^{4}-\\beta _{3}q^{5}+(3+\\beta _{2}+\\cdots)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': '513.2.a', 'trace_display': [0, 0, 0, 12], 'trace_hash': 1868673300742517728, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.044', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.733', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.351', 'prec': 17}, {'__RealLiteral__': 0, 'data': '71.523', 'prec': 20}, {'__RealLiteral__': 0, 'data': '41.602', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2013.707', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.518', 'prec': 17}, 'traces': [4, 0, 0, 8, 0, 0, 12, 0, 0, 4, 0, 0, 0, 0, 0, -4, 0, 0, -4, 0, 0, -12, 0, 0, 20, 0, 0, 36, 0, 0, 8, 0, 0, 0, 0, 0, -4, 0, 0, -36, 0, 0, -4, 0, 0, 28, 0, 0, 20, 0, 0, 24, 0, 0, 36, 0, 0, -52, 0, 0, -8, 0, 0, -8, 0, 0, -16, 0, 0, -24, 0, 0, 16, 0, 0, -8, 0, 0, -36, 0, 0, 40, 0, 0, 0, 0, 0, -48, 0, 0, 24, 0, 0, -48, 0, 0, 4, 0, 0, -8, 0, 0, 32, 0, 0, -48, 0, 0, -28, 0, 0, 12, 0, 0, -32, 0, 0, -36, 0, 0, 4, 0, 0, -44, 0, 0, 16, 0, 0, -72, 0, 0, -12, 0, 0, 0, 0, 0, 40, 0, 0, 72, 0, 0, -52, 0, 0, -44, 0, 0, 28, 0, 0, -84, 0, 0, 16, 0, 0, -4, 0, 0, 92, 0, 0, -80, 0, 0, -4, 0, 0, 4, 0, 0, 12, 0, 0, 28, 0, 0, -52, 0, 0, 60, 0, 0, 0, 0, 0, -4, 0, 0, 40, 0, 0, 112, 0, 0, 64, 0, 0, 20, 0, 0, -68, 0, 0, 48, 0, 0, 8, 0, 0, 100, 0, 0, -36, 0, 0, 60, 0, 0, 76, 0, 0, -108, 0, 0, 12, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 12, 0, 0, 20, 0, 0, 0, 0, 0, 144, 0, 0, -60, 0, 0, -44, 0, 0, -48, 0, 0, 92, 0, 0, -12, 0, 0, -20, 0, 0, 36, 0, 0, 72, 0, 0, -44, 0, 0, -96, 0, 0, 88, 0, 0, -96, 0, 0, -68, 0, 0, -52, 0, 0, -48, 0, 0, 96, 0, 0, 0, 0, 0, 4, 0, 0, -12, 0, 0, 188, 0, 0, -64, 0, 0, -72, 0, 0, 0, 0, 0, 144, 0, 0, -96, 0, 0, 108, 0, 0, -48, 0, 0, -48, 0, 0, -28, 0, 0, 0, 0, 0, 48, 0, 0, 8, 0, 0, -20, 0, 0, 12, 0, 0, 96, 0, 0, -52, 0, 0, 4, 0, 0, 120, 0, 0, 56, 0, 0, 104, 0, 0, -28, 0, 0, -36, 0, 0, -12, 0, 0, -36, 0, 0, 96, 0, 0, 68, 0, 0, 0, 0, 0, -80, 0, 0, 44, 0, 0, -116, 0, 0, -120, 0, 0, -156, 0, 0, 76, 0, 0, 88, 0, 0, -20, 0, 0, 12, 0, 0, 8, 0, 0, -36, 0, 0, 12, 0, 0, -40, 0, 0, -44, 0, 0, -44, 0, 0, 28, 0, 0, 0, 0, 0, -188, 0, 0, -84, 0, 0, -108, 0, 0, -24, 0, 0, 0, 0, 0, -88, 0, 0, 32, 0, 0, -20, 0, 0, -36, 0, 0, 12, 0, 0, -20, 0, 0, 72, 0, 0, -72, 0, 0, 44, 0, 0, 80, 0, 0, -196, 0, 0, 0, 0, 0, -128, 0, 0, 16, 0, 0, 36, 0, 0, -112, 0, 0, -16, 0, 0, -36, 0, 0, 44, 0, 0, 36, 0, 0, 24, 0, 0, -16, 0, 0, -12, 0, 0, -4, 0, 0, -36, 0, 0, 64, 0, 0, -12, 0, 0, 8, 0, 0, 0, 0, 0, -80, 0, 0, 132, 0, 0, -108, 0, 0, 80, 0, 0, 24, 0, 0, -28, 0, 0, 12, 0, 0, -24, 0, 0, -52, 0, 0, 228, 0, 0, -144, 0, 0, 52, 0, 0, 36, 0, 0, 76, 0, 0, -8, 0, 0, -68, 0, 0, 0, 0, 0, 120, 0, 0, -20, 0, 0, 56, 0, 0, 0, 0, 0, -116, 0, 0, 96, 0, 0, -180, 0, 0, -16, 0, 0, -44, 0, 0, 92, 0, 0, -76, 0, 0, -56, 0, 0, 60, 0, 0, 144, 0, 0, 180, 0, 0, -4, 0, 0, 0, 0, 0, -12, 0, 0, 172, 0, 0, -16, 0, 0, -180, 0, 0, -24, 0, 0, -60, 0, 0, -52, 0, 0, -52, 0, 0, -16, 0, 0, -8, 0, 0, 72, 0, 0, 216, 0, 0, 96, 0, 0, 28, 0, 0, -52, 0, 0, 132, 0, 0, 0, 0, 0, -60, 0, 0, 4, 0, 0, 56, 0, 0, 8, 0, 0, 216, 0, 0, -24, 0, 0, -92, 0, 0, 120, 0, 0, -44, 0, 0, 56, 0, 0, 268, 0, 0, -32, 0, 0, -28, 0, 0, 12, 0, 0, -180, 0, 0, 24, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, -28, 0, 0, 36, 0, 0, -72, 0, 0, -100, 0, 0, -24, 0, 0, 80, 0, 0, 280, 0, 0, -108, 0, 0, 24, 0, 0, 124, 0, 0, -40, 0, 0, -36, 0, 0, 72, 0, 0, 104, 0, 0, 0, 0, 0, -4, 0, 0, -120, 0, 0, 132, 0, 0, 20, 0, 0, 156, 0, 0, 4, 0, 0, -148, 0, 0, 100, 0, 0, -96, 0, 0, 104, 0, 0, -120, 0, 0, -168, 0, 0, -16, 0, 0, 92, 0, 0, 100, 0, 0, 48, 0, 0, 0, 0, 0, -20, 0, 0, 36, 0, 0, 8, 0, 0, 12, 0, 0, -76, 0, 0, -228, 0, 0, 24, 0, 0, -28, 0, 0, 44, 0, 0, -60, 0, 0, 84, 0, 0, -168, 0, 0, 0, 0, 0, 176, 0, 0, 104, 0, 0, -200, 0, 0, 0, 0, 0, -120, 0, 0, 64, 0, 0, -192, 0, 0, 60, 0, 0, -96, 0, 0, 164, 0, 0, 48, 0, 0, 124, 0, 0, 52, 0, 0, -20, 0, 0, 136, 0, 0, -76, 0, 0, 84, 0, 0, 148, 0, 0, -36, 0, 0, -168, 0, 0, 0, 0, 0, 108, 0, 0, -52, 0, 0, 192, 0, 0, 60, 0, 0, 100, 0, 0, -176, 0, 0, 120, 0, 0, 80, 0, 0, -216, 0, 0, 88, 0, 0, -176, 0, 0, -24, 0, 0, -56, 0, 0, 192, 0, 0, 104, 0, 0, -48], '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], [1.064882433048626, 0.0], [0.0, 0.0], [0.13397459621556135, 0.0], [1.8400110450905185, 0.0], [0.0, 0.0], [0.47923974831970456, 0.0], [-0.9222152390638918, 0.0], [0.0, 0.0], [1.9593954385323362, 0.0], [0.786467798409929, 0.0], [0.0, 0.0], [-0.9607689228305228, 0.0], [0.5103339892042982, 0.0], [0.0, 0.0], [-1.1160254037844386, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.22941573387056177, 0.0], [0.24651473679817526, 0.0], [0.0, 0.0], [0.8374957426851615, 0.0], [-0.22987617736639385, 0.0], [0.0, 0.0], [2.385640646055102, 0.0], [-1.0231059481412748, 0.0], [0.0, 0.0], [0.06420595177157966, 0.0], [-1.6029784830702027, 0.0], [0.0, 0.0], [1.9146381461491877, 0.0], [-0.2662206082621565, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8818064301546565, 0.0], [0.0, 0.0], [0.6898432088718918, 0.0], [-0.2443007848637199, 0.0], [0.0, 0.0], [-1.6968862258283537, 0.0], [-0.5795399054107293, 0.0], [0.0, 0.0], [-0.4166338422302918, 0.0], [0.10536670572851174, 0.0], [0.0, 0.0], [-0.24479110305384297, 0.0], [-0.6590054197284659, 0.0], [0.0, 0.0], [-0.7703292636304663, 0.0], [2.5404268155508527, 0.0], [0.0, 0.0], [-0.12871862849267912, 0.0], [-0.6205831513756418, 0.0], [0.0, 0.0], [1.4471094356822927, 0.0], [-0.44196219906557566, 0.0], [0.0, 0.0], [-1.7069836271763932, 0.0], [-0.9277694198747267, 0.0], [0.0, 0.0], [-0.9213729037249075, 0.0], [2.0388645274790576, 0.0], [0.0, 0.0], [0.8325317547305483, 0.0], [-1.767825429787882, 0.0], [0.0, 0.0], [-0.7002814621828004, 0.0], [0.0, 0.0], [0.0, 0.0], [0.9390201768210139, 0.0], [1.6914800534780687, 0.0], [0.0, 0.0], [1.8872130834234426, 0.0], [0.7346019146855716, 0.0], [0.0, 0.0], [-0.030735880310805194, 0.0], [0.3769066297715265, 0.0], [0.0, 0.0], [-1.0125791108334214, 0.0], [-2.053499069564973, 0.0], [0.0, 0.0], [-0.6171418645225479, 0.0], [-0.8265090602261298, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4436660596045905, 0.0], [0.0, 0.0], [-0.7252925887266654, 0.0], [-1.7017243429565454, 0.0], [0.0, 0.0], [-0.4604386567706934, 0.0], [-0.03079756804223938, 0.0], [0.0, 0.0], [-0.7017632947526798, 0.0], [-0.4221274842393806, 0.0], [0.0, 0.0], [-0.7777809561274619, 0.0], [-0.8203101005033673, 0.0], [0.0, 0.0], [0.3196152422706632, 0.0], [-0.9284917865657426, 0.0], [0.0, 0.0], [0.44693534813828995, 0.0], [0.8860357418533084, 0.0], [0.0, 0.0], [-0.6608480961458771, 0.0], [1.2712794468796582, 0.0], [0.0, 0.0], [-0.8363787787376052, 0.0], [1.5410014167569839, 0.0], [0.0, 0.0], [-0.534843733628051, 0.0], [-0.6046397284766196, 0.0], [0.0, 0.0], [-0.4229747053573517, 0.0], [-0.21475839501156346, 0.0], [0.0, 0.0], [-0.9879653571443112, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.38146840206423926, 0.0], [-0.9811538194636569, 0.0], [0.0, 0.0], [0.25651287252924837, 0.0], [2.549594093267749, 0.0], [0.0, 0.0], [0.9697212272607175, 0.0], [1.1527690488298648, 0.0], [0.0, 0.0], [-1.8825262448777527, 0.0], [0.4299879732502055, 0.0], [0.0, 0.0], [-0.10994513856070834, 0.0], [-0.7457174272680698, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2176872861040557, 0.0], [0.0, 0.0], [0.848188929679971, 0.0], [0.11813966042025571, 0.0], [0.0, 0.0], [1.8012273948009458, 0.0], [-0.7556138195192003, 0.0], [0.0, 0.0], [-2.9494981138916176, 0.0], [2.009660059957155, 0.0], [0.0, 0.0], [0.09242146536065886, 0.0], [0.7402437968049382, 0.0], [0.0, 0.0], [0.5696519211398116, 0.0], [0.21157068585645827, 0.0], [0.0, 0.0], [0.4013612489432608, 0.0], [3.5229553362661394, 0.0], [0.0, 0.0], [1.5633290832640956, 0.0], [-1.0782777071985081, 0.0], [0.0, 0.0], [-0.48984885963308405, 0.0], [-0.11016580138576634, 0.0], [0.0, 0.0], [1.9371637244661422, 0.0], [-0.07764362481820708, 0.0], [0.0, 0.0], [-0.8801349789903344, 0.0], [-1.50659525579204, 0.0], [0.0, 0.0], [-0.07692307692307693, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.055818350782541236, 0.0], [-0.511125655753458, 0.0], [0.0, 0.0], [1.1432938227967044, 0.0], [-0.8777180422838995, 0.0], [0.0, 0.0], [-1.8121363587056405, 0.0], [0.47232550800345013, 0.0], [0.0, 0.0], [-1.609994003255628, 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[0.09558235867057424, 0.0], [1.6388544246495829, 0.0], [0.0, 0.0], [-0.14286512724636533, 0.0], [-0.976986200124902, 0.0], [0.0, 0.0], [0.5695677392624007, 0.0], [-0.41217058892945674, 0.0], [0.0, 0.0], [-0.4734722691064267, 0.0], [-0.5544936717214503, 0.0], [0.0, 0.0], [1.3842702135289604, 0.0], [-1.6194580825127267, 0.0], [0.0, 0.0], [-0.7998706372146739, 0.0], [0.0, 0.0], [0.0, 0.0], [-2.7721519111383284, 0.0], [-0.024172780120230046, 0.0], [0.0, 0.0], [-0.07834500484743953, 0.0], [-0.6721618363371837, 0.0], [0.0, 0.0], [1.5695400171860485, 0.0], [-0.07598569402713969, 0.0], [0.0, 0.0], [-0.09337887169370433, 0.0], [-0.14153931116080912, 0.0], [0.0, 0.0], [-0.18281482099718588, 0.0], [0.69258656209582, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.15857851983763727, 0.0], [0.0, 0.0], [-1.1200653814084098, 0.0], [-0.47020790950267977, 0.0], [0.0, 0.0], [-1.172393279021136, 0.0], [1.7278908567883637, 0.0], [0.0, 0.0], [0.4228199849533652, 0.0], [-0.10270638195861287, 0.0], [0.0, 0.0], [-0.9007156330055417, 0.0], [-0.7378050304362671, 0.0], [0.0, 0.0], [-0.9404768520154969, 0.0], [0.5893649153540513, 0.0], [0.0, 0.0], [0.12293116447168144, 0.0], [-0.7963608640130445, 0.0], [0.0, 0.0], [0.6728086660995526, 0.0], [0.7713212553814665, 0.0], [0.0, 0.0], [0.056158930552081696, 0.0], [1.2218668315750414, 0.0], [0.0, 0.0], [0.312956407384504, 0.0], [-0.700589906718126, 0.0], [0.0, 0.0], [-1.6150108922776019, 0.0], [-0.9802734704438034, 0.0], [0.0, 0.0], [1.4644522246071985, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.42179805218883726, 0.0], [1.2975252027806317, 0.0], [0.0, 0.0], [0.4647289568927013, 0.0], [-3.3343509152284923, 0.0], [0.0, 0.0], [0.13938190542965825, 0.0], [0.1511862119916836, 0.0], [0.0, 0.0], [0.8690841516043383, 0.0], [0.5524527488319696, 0.0], [0.0, 0.0], [-0.5703352134495938, 0.0], [-3.06912375114257, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.48536220349764697, 0.0], [0.0, 0.0], [0.5576079717445924, 0.0], [-2.9624067485198555, 0.0], [0.0, 0.0], [1.3364365237108464, 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[0.2891966739966143, 0.0], [0.0, 0.0], [1.0418430260444436, 0.0], [-0.0060569396531145216, 0.0], [0.0, 0.0], [0.30746934440216567, 0.0], [0.5835641485246118, 0.0], [0.0, 0.0], [2.665839230689598, 0.0], [-0.7057826902816963, 0.0], [0.0, 0.0], [-0.01895293243065806, 0.0], [1.3244689318077216, 0.0], [0.0, 0.0], [0.30265481068405614, 0.0], [0.3517959736049932, 0.0], [0.0, 0.0], [-1.523980457613468, 0.0], [0.7473632531817892, 0.0], [0.0, 0.0], [0.40648584918738884, 0.0], [1.3829841973066366, 0.0], [0.0, 0.0], [1.0282755669156307, 0.0], [-0.6452450851119802, 0.0], [0.0, 0.0], [-1.3383513975056174, 0.0], [-0.18989751567179655, 0.0], [0.0, 0.0], [-0.6797508466471748, 0.0], [1.1295762462876004, 0.0], [0.0, 0.0], [-2.9472129465194215, 0.0], [0.0, 0.0], [0.0, 0.0], [0.02953007861846018, 0.0], [0.09577419501337271, 0.0], [0.0, 0.0], [-0.5547654709639214, 0.0], [-0.5097161318697644, 0.0], [0.0, 0.0], [0.8632197633509624, 0.0], [2.5387986282753072, 0.0], [0.0, 0.0], [1.0428466596008488, 0.0], [-0.30472554886076053, 0.0], [0.0, 0.0], [-2.3512745262388037, 0.0]], 'angles': [-0.16063736982396568, None, -0.06409197414996937, -0.21148859410617732, -0.18567813246439607, -0.3297514300099943, -0.25, None, -0.26833348364713494, -0.3979793074847602, -0.04666690039299521, -0.1939527492079553, -0.2967893998063947, -0.283399271486851, -0.3034405410908528, -0.3002133418567301, -0.326772406239114, -0.32619836628107285, -0.30693311971127185, -0.08957969301469079, -0.05370464819399959, -0.3344916483247213, -0.31780401092232136, -0.4119599113449994, -0.3135707758579215, -0.3268373013070846, -0.2141311437858886, -0.1403682007707967, -0.31866757984109184, -0.2988805359950895, -0.16943516500537023, -0.21551340412837872, -0.14581683968414216, -0.18029622377113905, -0.18965795758900647, -0.20403209528577573, -0.10718546409589322, -0.040000831250312265, -0.3857690048943375, -0.29113038304651306, -0.21205507486492955, -0.39891657153979837, -0.2043172862804754, -0.19140405987573164, -0.39781415768706935, -0.12883014440836127, -0.3066535318235252, -0.1629323611716626, -0.22230647451958446, -0.13284481759718764, -0.20056237598869403, -0.25359797315402705, -0.26126696391545845, -0.21389640360444245, -0.1705155063578396, -0.40917333518579074, -0.16009433506552853, -0.15989343365979838, -0.2529057627547587, -0.06210761302621981, -0.17607487401566646, -0.23409515636130296, -0.2636418768389351, -0.2518209102027234, -0.2993841847592247, -0.24146138613246446, -0.25703430583600645, -0.25782257792223356, -0.3101204671873975, -0.12645586387987293, -0.2593441584398207, -0.435495406667023, -0.17467494219994012, -0.24315703874340944, -0.20502702006361573, -0.3045324351204304, -0.34116240227119454, -0.2614179329618878, -0.26637910852884866, -0.11025270646674336, -0.25585595567705866, -0.25567953117436143, -0.31949706313241044, -0.2053750005410003, -0.30334767806916896, -0.2817302774097381, -0.2931470950295784, -0.3093969006893744, -0.2890612122785153, -0.25885197325712556, 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-0.12931022032696357, -0.3607997685408938, -0.3837524513516254, -0.334491701585959, -0.28470203463876964, -0.33122662624931515, -0.2040390836879128, -0.2947109882450064, -0.12833511219680355, -0.3045507817335565, -0.34460571820153746, -0.08399304376204181, -0.21609723831061026, -0.3101331901966835, -0.22499295198009106, -0.33152658105456556, -0.11924071393128234, -0.1376434106599709, -0.13352861694774446, -0.3626044357943073, -0.17099608958488874, -0.34237159308081916, -0.31960261219839753, -0.21989433739449654, -0.44134538378622007, -0.22690549868926024, -0.22582261257750325, -0.18904763131108043, -0.3022822208553913, -0.15447894584153202, -0.294733500283567, -0.16270062733682977], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': 1.5059711791502262, 'hecke_orbit': 9, 'hecke_orbit_code': 36028797052518913, 'label': '513.2.a.i.1.3', 'level': 513, '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': [5, 7, 7, 5], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [2, 3, 3, 3], 'ALdims_old': [7, 7, 9, 8], 'Nk2': 2052, 'analytic_conductor': 4.096325623691683, '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': [513, 1, [191, 325], [1, 1]], 'conrey_index': 1, 'cusp_dim': 55, 'dim': 24, 'eis_dim': 11, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 33554945, 'hecke_orbit_dims': [1, 1, 2, 3, 3, 3, 3, 4, 4], 'label': '513.2.a', 'level': 513, '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, 19], 'level_radical': 57, 'mf_dim': 66, 'mf_new_dim': 24, 'num_forms': 9, 'plus_dim': 10, 'prim_orbit_index': 1, 'relative_dim': 24, 'sturm_bound': 120, 'trace_bound': 4, 'trace_display': [0, 0, 0, 4], 'traces': [24, 0, 0, 24, 0, 0, 4, 0, 0, -4, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 20, 0, 0, 8, 0, 0, 16, 0, 0, 20, 0, 0, -44, 0, 0, 24, 0, 0, 12, 0, 0, 4, 0, 0, 28, 0, 0, -8, 0, 0, -12, 0, 0, -52, 0, 0, -32, 0, 0, -12, 0, 0, -36, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 56, 0, 0, -60, 0, 0, -84, 0, 0, 68, 0, 0, -12, 0, 0, 4, 0, 0, -20, 0, 0, -4, 0, 0, -8, 0, 0, -28, 0, 0, 92, 0, 0, 68, 0, 0, -56, 0, 0, 100, 0, 0, -52, 0, 0, -24, 0, 0, -120, 0, 0, -16, 0, 0, -36, 0, 0, 52, 0, 0, 84, 0, 0, -32, 0, 0, -136, 0, 0, 92, 0, 0, -80, 0, 0, 32, 0, 0, 64, 0, 0, 40, 0, 0, 20, 0, 0, -44, 0, 0, 72, 0, 0, 28, 0, 0, 8, 0, 0, 56, 0, 0, 48, 0, 0, 8, 0, 0, 16, 0, 0, -24, 0, 0, -112, 0, 0, 80, 0, 0, 12, 0, 0, 44, 0, 0, -44, 0, 0, 124, 0, 0, -40, 0, 0, 36, 0, 0, -36, 0, 0, 68, 0, 0, -40, 0, 0, -56, 0, 0, -72, 0, 0, 36, 0, 0, 92, 0, 0, -76, 0, 0, 44, 0, 0, 4, 0, 0, -48, 0, 0, -76, 0, 0, -216, 0, 0, 24, 0, 0, 80, 0, 0, -144, 0, 0, -12, 0, 0, -120, 0, 0, -60, 0, 0, -72, 0, 0, -84, 0, 0, 88, 0, 0, 116, 0, 0, 4, 0, 0, 48, 0, 0, 108, 0, 0, 36, 0, 0, -88, 0, 0, 0, 0, 0, 72, 0, 0, 340, 0, 0, -64, 0, 0, 32, 0, 0, -152, 0, 0, 176, 0, 0, -112, 0, 0, 120, 0, 0, 92, 0, 0, 64, 0, 0, 8, 0, 0, -72, 0, 0, 80, 0, 0, 196, 0, 0, -28, 0, 0, -64, 0, 0, -24, 0, 0, 52, 0, 0, 24, 0, 0, 124, 0, 0, -136, 0, 0, 148, 0, 0, -28, 0, 0, 300, 0, 0, 28, 0, 0, 96, 0, 0, 84, 0, 0, -64, 0, 0, -68, 0, 0, -132, 0, 0, 92, 0, 0, -272, 0, 0, -144, 0, 0, -128, 0, 0, 132, 0, 0, 136, 0, 0, -28, 0, 0, 32, 0, 0, -144, 0, 0, -36, 0, 0, -52, 0, 0, -116, 0, 0, 44, 0, 0, -260, 0, 0, -8, 0, 0, 136, 0, 0, -136, 0, 0, -152, 0, 0, -216, 0, 0, -12, 0, 0, 40, 0, 0, -44, 0, 0, 60, 0, 0, -256, 0, 0, 32, 0, 0, 96, 0, 0, -8, 0, 0, -84, 0, 0, 120, 0, 0, 248, 0, 0, 0, 0, 0, -416, 0, 0, 164, 0, 0, 116, 0, 0, -212, 0, 0, 196, 0, 0, -56, 0, 0, 156, 0, 0, -236, 0, 0, 56, 0, 0, 204, 0, 0, -180, 0, 0, 72, 0, 0, -52, 0, 0, 132, 0, 0, -32, 0, 0, 224, 0, 0, -284, 0, 0, -152, 0, 0, 76, 0, 0, -84, 0, 0, 28, 0, 0, -32, 0, 0, 92, 0, 0, -140, 0, 0, 44, 0, 0, -48, 0, 0, 84, 0, 0, -140, 0, 0, 168, 0, 0, -192, 0, 0, -4, 0, 0, 100, 0, 0, 76, 0, 0, 20, 0, 0, -112, 0, 0, -96, 0, 0, -176, 0, 0, -88, 0, 0, -56, 0, 0, -28, 0, 0, -232, 0, 0, -168, 0, 0, -384, 0, 0, -16, 0, 0, -16, 0, 0, 104, 0, 0, 328, 0, 0, 56, 0, 0, 164, 0, 0, 132, 0, 0, -36, 0, 0, -156, 0, 0, -80, 0, 0, -20, 0, 0, 164, 0, 0, 76, 0, 0, -156, 0, 0, -96, 0, 0, 300, 0, 0, 0, 0, 0, 136, 0, 0, 100, 0, 0, 152, 0, 0, 152, 0, 0, -60, 0, 0, 24, 0, 0, 24, 0, 0, -108, 0, 0, 236, 0, 0, -204, 0, 0, -220, 0, 0, 8, 0, 0, 380, 0, 0, -164, 0, 0, 168, 0, 0, 360, 0, 0, 336, 0, 0, 220, 0, 0, 352, 0, 0, 128, 0, 0, 404, 0, 0, 24, 0, 0, 56, 0, 0, -20, 0, 0, -236, 0, 0, -288, 0, 0, 76, 0, 0, -52, 0, 0, 44, 0, 0, 152, 0, 0, 84, 0, 0, -164, 0, 0, -264, 0, 0, -232, 0, 0, -24, 0, 0, 236, 0, 0, -516, 0, 0, 36, 0, 0, 8, 0, 0, -256, 0, 0, -108, 0, 0, 196, 0, 0, 364, 0, 0, 84, 0, 0, -284, 0, 0, 120, 0, 0, 120, 0, 0, 212, 0, 0, 36, 0, 0, 24, 0, 0, -32, 0, 0, 348, 0, 0, -20, 0, 0, 164, 0, 0, -100, 0, 0, 180, 0, 0, -148, 0, 0, 12, 0, 0, 380, 0, 0, -64, 0, 0, 56, 0, 0, -180, 0, 0, -132, 0, 0, 136, 0, 0, 68, 0, 0, -380, 0, 0, -204, 0, 0, 268, 0, 0, 8, 0, 0, 64, 0, 0, -324, 0, 0, -76, 0, 0, -32, 0, 0, 232, 0, 0, -32, 0, 0, -56, 0, 0, -136, 0, 0, -52, 0, 0, -12, 0, 0, 84, 0, 0, -408, 0, 0, -180, 0, 0, -412, 0, 0, 204, 0, 0, 24, 0, 0, 92, 0, 0, -44, 0, 0, 32, 0, 0, 36, 0, 0, 4, 0, 0, 216, 0, 0, 260, 0, 0, -388, 0, 0, -232, 0, 0, -336, 0, 0, 60, 0, 0, -312, 0, 0, 116, 0, 0, 64, 0, 0, 228, 0, 0, -52, 0, 0, 140, 0, 0, -16, 0, 0, -372, 0, 0, 56, 0, 0, 20, 0, 0, -112, 0, 0, 136, 0, 0, 348, 0, 0, 308, 0, 0, 48], '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: 46446887
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028797052518913, 'source_is_minimal': True, 'source_label': '513.2.a.i.1.3', 'source_level': 513, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36028797052518913, 'target_is_minimal': True, 'target_label': '513.2.a.i.1.3', 'target_level': 513, 'twist_class_label': '513.2.a.i.1.2', 'twist_class_level': 513, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46446888
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028797052518913, 'source_is_minimal': True, 'source_label': '513.2.a.i.1.3', 'source_level': 513, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36028797052518913, 'target_is_minimal': True, 'target_label': '513.2.a.i.1.2', 'target_level': 513, 'twist_class_label': '513.2.a.i.1.2', 'twist_class_level': 513, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46446889
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028797052518913, 'source_is_minimal': True, 'source_label': '513.2.a.i.1.3', 'source_level': 513, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 202661983265234960, 'target_is_minimal': False, 'target_label': '8208.2.a.bt.1.4', 'target_level': 8208, 'twist_class_label': '513.2.a.i.1.2', 'twist_class_level': 513, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46446890
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028797052518913, 'source_is_minimal': True, 'source_label': '513.2.a.i.1.3', 'source_level': 513, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 202661983265234960, 'target_is_minimal': False, 'target_label': '8208.2.a.bt.1.1', 'target_level': 8208, 'twist_class_label': '513.2.a.i.1.2', 'twist_class_level': 513, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46446891
    {'conductor': 19, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028797052518913, 'source_is_minimal': True, 'source_label': '513.2.a.i.1.3', 'source_level': 513, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 139611588482049555, 'target_is_minimal': False, 'target_label': '9747.2.a.bf.1.2', 'target_level': 9747, 'twist_class_label': '513.2.a.i.1.2', 'twist_class_level': 513, 'twisting_char_label': '19.18', 'twisting_conrey_index': 18, 'weight': 2}
  • id: 46446892
    {'conductor': 57, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028797052518913, 'source_is_minimal': True, 'source_label': '513.2.a.i.1.3', 'source_level': 513, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 139611588482049555, 'target_is_minimal': False, 'target_label': '9747.2.a.bf.1.3', 'target_level': 9747, 'twist_class_label': '513.2.a.i.1.2', 'twist_class_level': 513, 'twisting_char_label': '57.56', 'twisting_conrey_index': 56, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 990800
    {'charpoly_factorization': [[[13, 0, -8, 0, 1], 1]], 'hecke_orbit_code': 36028797052518913, 'p': 2}
  • id: 990801
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028797052518913, 'p': 3}
  • id: 990802
    {'charpoly_factorization': [[[52, 0, -20, 0, 1], 1]], 'hecke_orbit_code': 36028797052518913, 'p': 5}
  • id: 990803
    {'charpoly_factorization': [[[6, -6, 1], 2]], 'hecke_orbit_code': 36028797052518913, 'p': 7}
  • id: 990804
    {'charpoly_factorization': [[[117, 0, -24, 0, 1], 1]], 'hecke_orbit_code': 36028797052518913, 'p': 11}
  • id: 990805
    {'charpoly_factorization': [[[-12, 0, 1], 2]], 'hecke_orbit_code': 36028797052518913, 'p': 13}
  • id: 990806
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028797052518913, 'p': 17}
  • id: 990807
    {'charpoly_factorization': [[[1, 1], 4]], 'hecke_orbit_code': 36028797052518913, 'p': 19}
  • id: 990808
    {'charpoly_factorization': [[[52, 0, -44, 0, 1], 1]], 'hecke_orbit_code': 36028797052518913, 'p': 23}
  • id: 990809
    {'charpoly_factorization': [[[2197, 0, -104, 0, 1], 1]], 'hecke_orbit_code': 36028797052518913, 'p': 29}
  • id: 990810
    {'charpoly_factorization': [[[-71, -4, 1], 2]], 'hecke_orbit_code': 36028797052518913, 'p': 31}
  • id: 990811
    {'charpoly_factorization': [[[-26, 2, 1], 2]], 'hecke_orbit_code': 36028797052518913, 'p': 37}
  • id: 990812
    {'charpoly_factorization': [[[1573, 0, -128, 0, 1], 1]], 'hecke_orbit_code': 36028797052518913, 'p': 41}
  • id: 990813
    {'charpoly_factorization': [[[-2, 2, 1], 2]], 'hecke_orbit_code': 36028797052518913, 'p': 43}
  • id: 990814
    {'charpoly_factorization': [[[1053, 0, -72, 0, 1], 1]], 'hecke_orbit_code': 36028797052518913, 'p': 47}
  • id: 990815
    {'charpoly_factorization': [[[1053, 0, -72, 0, 1], 1]], 'hecke_orbit_code': 36028797052518913, 'p': 53}
  • id: 990816
    {'charpoly_factorization': [[[468, 0, -60, 0, 1], 1]], 'hecke_orbit_code': 36028797052518913, 'p': 59}
  • id: 990817
    {'charpoly_factorization': [[[-23, 4, 1], 2]], 'hecke_orbit_code': 36028797052518913, 'p': 61}
  • id: 990818
    {'charpoly_factorization': [[[13, 8, 1], 2]], 'hecke_orbit_code': 36028797052518913, 'p': 67}
  • id: 990819
    {'charpoly_factorization': [[[7488, 0, -240, 0, 1], 1]], 'hecke_orbit_code': 36028797052518913, 'p': 71}
  • id: 990820
    {'charpoly_factorization': [[[-131, -8, 1], 2]], 'hecke_orbit_code': 36028797052518913, 'p': 73}
  • id: 990821
    {'charpoly_factorization': [[[9, 1], 4]], 'hecke_orbit_code': 36028797052518913, 'p': 79}
  • id: 990822
    {'charpoly_factorization': [[[8125, 0, -200, 0, 1], 1]], 'hecke_orbit_code': 36028797052518913, 'p': 83}
  • id: 990823
    {'charpoly_factorization': [[[65533, 0, -512, 0, 1], 1]], 'hecke_orbit_code': 36028797052518913, 'p': 89}
  • id: 990824
    {'charpoly_factorization': [[[-74, -2, 1], 2]], 'hecke_orbit_code': 36028797052518913, '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': 9, 'label': '513.2.a.i', 'level': 513, '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

  
  
  • id: 50294239
    {'hecke_orbit_code': 36028797052518913, 'n': 1, 'trace_an': 4}
  • id: 50294240
    {'hecke_orbit_code': 36028797052518913, 'n': 2, 'trace_an': 0}
  • id: 50294241
    {'hecke_orbit_code': 36028797052518913, 'n': 3, 'trace_an': 0}
  • id: 50294242
    {'hecke_orbit_code': 36028797052518913, 'n': 4, 'trace_an': 8}
  • id: 50294243
    {'hecke_orbit_code': 36028797052518913, 'n': 5, 'trace_an': 0}
  • id: 50294244
    {'hecke_orbit_code': 36028797052518913, 'n': 6, 'trace_an': 0}
  • id: 50294245
    {'hecke_orbit_code': 36028797052518913, 'n': 7, 'trace_an': 12}
  • id: 50294246
    {'hecke_orbit_code': 36028797052518913, 'n': 8, 'trace_an': 0}
  • id: 50294247
    {'hecke_orbit_code': 36028797052518913, 'n': 9, 'trace_an': 0}
  • id: 50294248
    {'hecke_orbit_code': 36028797052518913, 'n': 10, 'trace_an': 4}
  • id: 50294249
    {'hecke_orbit_code': 36028797052518913, 'n': 11, 'trace_an': 0}
  • id: 50294250
    {'hecke_orbit_code': 36028797052518913, 'n': 12, 'trace_an': 0}
  • id: 50294251
    {'hecke_orbit_code': 36028797052518913, 'n': 13, 'trace_an': 0}
  • id: 50294252
    {'hecke_orbit_code': 36028797052518913, 'n': 14, 'trace_an': 0}
  • id: 50294253
    {'hecke_orbit_code': 36028797052518913, 'n': 15, 'trace_an': 0}
  • id: 50294254
    {'hecke_orbit_code': 36028797052518913, 'n': 16, 'trace_an': -4}
  • id: 50294255
    {'hecke_orbit_code': 36028797052518913, 'n': 17, 'trace_an': 0}
  • id: 50294256
    {'hecke_orbit_code': 36028797052518913, 'n': 18, 'trace_an': 0}
  • id: 50294257
    {'hecke_orbit_code': 36028797052518913, 'n': 19, 'trace_an': -4}
  • id: 50294258
    {'hecke_orbit_code': 36028797052518913, 'n': 20, 'trace_an': 0}
  • id: 50294259
    {'hecke_orbit_code': 36028797052518913, 'n': 21, 'trace_an': 0}
  • id: 50294260
    {'hecke_orbit_code': 36028797052518913, 'n': 22, 'trace_an': -12}
  • id: 50294261
    {'hecke_orbit_code': 36028797052518913, 'n': 23, 'trace_an': 0}
  • id: 50294262
    {'hecke_orbit_code': 36028797052518913, 'n': 24, 'trace_an': 0}
  • id: 50294263
    {'hecke_orbit_code': 36028797052518913, 'n': 25, 'trace_an': 20}
  • id: 50294264
    {'hecke_orbit_code': 36028797052518913, 'n': 26, 'trace_an': 0}
  • id: 50294265
    {'hecke_orbit_code': 36028797052518913, 'n': 27, 'trace_an': 0}
  • id: 50294266
    {'hecke_orbit_code': 36028797052518913, 'n': 28, 'trace_an': 36}
  • id: 50294267
    {'hecke_orbit_code': 36028797052518913, 'n': 29, 'trace_an': 0}
  • id: 50294268
    {'hecke_orbit_code': 36028797052518913, 'n': 30, 'trace_an': 0}
  • id: 50294269
    {'hecke_orbit_code': 36028797052518913, 'n': 31, 'trace_an': 8}
  • id: 50294270
    {'hecke_orbit_code': 36028797052518913, 'n': 32, 'trace_an': 0}
  • id: 50294271
    {'hecke_orbit_code': 36028797052518913, 'n': 33, 'trace_an': 0}
  • id: 50294272
    {'hecke_orbit_code': 36028797052518913, 'n': 34, 'trace_an': 0}
  • id: 50294273
    {'hecke_orbit_code': 36028797052518913, 'n': 35, 'trace_an': 0}
  • id: 50294274
    {'hecke_orbit_code': 36028797052518913, 'n': 36, 'trace_an': 0}
  • id: 50294275
    {'hecke_orbit_code': 36028797052518913, 'n': 37, 'trace_an': -4}
  • id: 50294276
    {'hecke_orbit_code': 36028797052518913, 'n': 38, 'trace_an': 0}
  • id: 50294277
    {'hecke_orbit_code': 36028797052518913, 'n': 39, 'trace_an': 0}
  • id: 50294278
    {'hecke_orbit_code': 36028797052518913, 'n': 40, 'trace_an': -36}
  • id: 50294279
    {'hecke_orbit_code': 36028797052518913, 'n': 41, 'trace_an': 0}
  • id: 50294280
    {'hecke_orbit_code': 36028797052518913, 'n': 42, 'trace_an': 0}
  • id: 50294281
    {'hecke_orbit_code': 36028797052518913, 'n': 43, 'trace_an': -4}
  • id: 50294282
    {'hecke_orbit_code': 36028797052518913, 'n': 44, 'trace_an': 0}
  • id: 50294283
    {'hecke_orbit_code': 36028797052518913, 'n': 45, 'trace_an': 0}
  • id: 50294284
    {'hecke_orbit_code': 36028797052518913, 'n': 46, 'trace_an': 28}
  • id: 50294285
    {'hecke_orbit_code': 36028797052518913, 'n': 47, 'trace_an': 0}
  • id: 50294286
    {'hecke_orbit_code': 36028797052518913, 'n': 48, 'trace_an': 0}
  • id: 50294287
    {'hecke_orbit_code': 36028797052518913, 'n': 49, 'trace_an': 20}
  • id: 50294288
    {'hecke_orbit_code': 36028797052518913, 'n': 50, 'trace_an': 0}
  • id: 50294289
    {'hecke_orbit_code': 36028797052518913, 'n': 51, 'trace_an': 0}
  • id: 50294290
    {'hecke_orbit_code': 36028797052518913, 'n': 52, 'trace_an': 24}
  • id: 50294291
    {'hecke_orbit_code': 36028797052518913, 'n': 53, 'trace_an': 0}
  • id: 50294292
    {'hecke_orbit_code': 36028797052518913, 'n': 54, 'trace_an': 0}
  • id: 50294293
    {'hecke_orbit_code': 36028797052518913, 'n': 55, 'trace_an': 36}
  • id: 50294294
    {'hecke_orbit_code': 36028797052518913, 'n': 56, 'trace_an': 0}
  • id: 50294295
    {'hecke_orbit_code': 36028797052518913, 'n': 57, 'trace_an': 0}
  • id: 50294296
    {'hecke_orbit_code': 36028797052518913, 'n': 58, 'trace_an': -52}
  • id: 50294297
    {'hecke_orbit_code': 36028797052518913, 'n': 59, 'trace_an': 0}
  • id: 50294298
    {'hecke_orbit_code': 36028797052518913, 'n': 60, 'trace_an': 0}
  • id: 50294299
    {'hecke_orbit_code': 36028797052518913, 'n': 61, 'trace_an': -8}
  • id: 50294300
    {'hecke_orbit_code': 36028797052518913, 'n': 62, 'trace_an': 0}
  • id: 50294301
    {'hecke_orbit_code': 36028797052518913, 'n': 63, 'trace_an': 0}
  • id: 50294302
    {'hecke_orbit_code': 36028797052518913, 'n': 64, 'trace_an': -8}
  • id: 50294303
    {'hecke_orbit_code': 36028797052518913, 'n': 65, 'trace_an': 0}
  • id: 50294304
    {'hecke_orbit_code': 36028797052518913, 'n': 66, 'trace_an': 0}
  • id: 50294305
    {'hecke_orbit_code': 36028797052518913, 'n': 67, 'trace_an': -16}
  • id: 50294306
    {'hecke_orbit_code': 36028797052518913, 'n': 68, 'trace_an': 0}
  • id: 50294307
    {'hecke_orbit_code': 36028797052518913, 'n': 69, 'trace_an': 0}
  • id: 50294308
    {'hecke_orbit_code': 36028797052518913, 'n': 70, 'trace_an': -24}
  • id: 50294309
    {'hecke_orbit_code': 36028797052518913, 'n': 71, 'trace_an': 0}
  • id: 50294310
    {'hecke_orbit_code': 36028797052518913, 'n': 72, 'trace_an': 0}
  • id: 50294311
    {'hecke_orbit_code': 36028797052518913, 'n': 73, 'trace_an': 16}
  • id: 50294312
    {'hecke_orbit_code': 36028797052518913, 'n': 74, 'trace_an': 0}
  • id: 50294313
    {'hecke_orbit_code': 36028797052518913, 'n': 75, 'trace_an': 0}
  • id: 50294314
    {'hecke_orbit_code': 36028797052518913, 'n': 76, 'trace_an': -8}
  • id: 50294315
    {'hecke_orbit_code': 36028797052518913, 'n': 77, 'trace_an': 0}
  • id: 50294316
    {'hecke_orbit_code': 36028797052518913, 'n': 78, 'trace_an': 0}
  • id: 50294317
    {'hecke_orbit_code': 36028797052518913, 'n': 79, 'trace_an': -36}
  • id: 50294318
    {'hecke_orbit_code': 36028797052518913, 'n': 80, 'trace_an': 0}
  • id: 50294319
    {'hecke_orbit_code': 36028797052518913, 'n': 81, 'trace_an': 0}
  • id: 50294320
    {'hecke_orbit_code': 36028797052518913, 'n': 82, 'trace_an': 40}
  • id: 50294321
    {'hecke_orbit_code': 36028797052518913, 'n': 83, 'trace_an': 0}
  • id: 50294322
    {'hecke_orbit_code': 36028797052518913, 'n': 84, 'trace_an': 0}
  • id: 50294323
    {'hecke_orbit_code': 36028797052518913, 'n': 85, 'trace_an': 0}
  • id: 50294324
    {'hecke_orbit_code': 36028797052518913, 'n': 86, 'trace_an': 0}
  • id: 50294325
    {'hecke_orbit_code': 36028797052518913, 'n': 87, 'trace_an': 0}
  • id: 50294326
    {'hecke_orbit_code': 36028797052518913, 'n': 88, 'trace_an': -48}
  • id: 50294327
    {'hecke_orbit_code': 36028797052518913, 'n': 89, 'trace_an': 0}
  • id: 50294328
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  • id: 50294364
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  • id: 50294392
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  • id: 50294396
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  • id: 50294397
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  • id: 50294402
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  • id: 50294404
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  • id: 50294408
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  • id: 50294412
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  • id: 50294413
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  • id: 50294415
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  • id: 50294416
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  • id: 50294417
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  • id: 50294419
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  • id: 50294420
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  • id: 50294421
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  • id: 50294422
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  • id: 50294423
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  • id: 50294424
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  • id: 50294425
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  • id: 50294426
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  • id: 50294427
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  • id: 50294428
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  • id: 50294429
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  • id: 50294430
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  • id: 50294431
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  • id: 50294432
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  • id: 50294433
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  • id: 50294434
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  • id: 50294435
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  • id: 50294436
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  • id: 50294437
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  • id: 50294438
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  • id: 50294439
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  • id: 50294440
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  • id: 50294441
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  • id: 50294442
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  • id: 50294443
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  • id: 50294446
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  • id: 50294447
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  • id: 50294448
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  • id: 50294451
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  • id: 50294452
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  • id: 50294453
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  • id: 50294454
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  • id: 50294456
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  • id: 50294460
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  • id: 50294461
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  • id: 50294462
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  • id: 50294464
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  • id: 50294469
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  • id: 50294471
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  • id: 50294472
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  • id: 50294473
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  • id: 50294474
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  • id: 50294476
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  • id: 50294478
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  • id: 50294480
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  • id: 50294482
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  • id: 50294484
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  • id: 50294486
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  • id: 50294491
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