Embedded newform data - 480.4.b.a.431.8

Formats: - HTML - YAML - JSON - 2026-07-26T14:10:08.841497

• 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': 7680, 'analytic_conductor': 28.320916802755495, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 24, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [480, 2, [31, 421, 161, 97], [1, 1, 1, 2]], 'cm_discs': [], 'conrey_index': 431, 'dim': 24, 'has_non_self_twist': 1, 'hecke_orbit': 1, 'hecke_orbit_code': 68786586080, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 24, 6, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '480.4.b.a', 'level': 480, '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, 5], 'level_radical': 30, 'minimal_twist': '120.4.b.a', 'prim_orbit_index': 6, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '3.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '480.4.b', 'trace_display': [0, 0, -120, 0], 'traces': [24, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 4, 0, 228, 0, 600, 0, -132, 0, 0, 0, 0, 0, 116, 0, 0, 0, 0, 0, -656, 0, 0, 0, 0, 0, 0, 0, -924, 0, -816, 0, 700, 0, -528, 0, 0, 0, -172, 0, 0, 0, 0, 0, 476, 0, 0, 0, -1632, 0, -980, 0, 216, 0, -216, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 252, 0, 0, 0, 1800, 0, 0, 0, 60, 0, 792, 0, 1328, 0, 648, 0, 0, 0, -20, 0, 0, 0, 0, 0, -1240, 0, 0, 0, -1140, 0, 2328, 0, -2496, 0, -2904, 0, -3324, 0, -3000, 0, 0, 0, 2232, 0, 0, 0, 0, 0, 660, 0, 0, 0, 3444, 0, -1436, 0, 2520, 0, 0, 0, 10300, 0, -3096, 0, 0, 0, 2384, 0, 0, 0, 0, 0, -3792, 0, 0, 0, -7584, 0, -580, 0, -3132, 0, -1536, 0, -6820, 0, 5232, 0, 0, 0, 380, 0, 0, 0, 0, 0, 6180, 0, 0, 0, 10584, 0, 6220, 0, 10656, 0, -4536, 0, 3280, 0, 5664, 0, 0, 0, 768, 0, 0, 0, 0, 0, -7112, 0, 0, 0, -16332, 0, 3088, 0, 0, 0, 864, 0, -12464, 0, -2232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10872, 0, 0, 0, 4620, 0, -6312, 0, 8904, 0, 4872, 0, 17100, 0, 4080, 0, 0, 0, 2992, 0, 0, 0, 0, 0, -3500, 0, 0, 0, -22632, 0, -9656, 0, -18300, 0, 2640, 0, -18904, 0, 5544, 0, 0, 0, -4304, 0, 0, 0, 0, 0, 14328, 0, 0, 0, 15768, 0, 860, 0, 11592, 0, -15264, 0, 23288, 0, -2256, 0, 0, 0, 4428, 0, 0, 0, 0, 0, -15164, 0, 0, 0, -18336, 0, 5076, 0, -12936, 0, -9216, 0, -2380, 0, -5856, 0, 0, 0, 11680, 0, 0, 0, 0, 0, 18772, 0, 0, 0, 27804, 0, -2672, 0, 8160, 0, 9936, 0, 29428, 0, -24, 0, 0, 0, 4900, 0, 0, 0, 0, 0, -23848, 0, 0, 0, -1080, 0, 6864, 0, -11160, 0, 3072, 0, -20448, 0, 1080, 0, 0, 0, -24128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14412, 0, 6188, 0, 15756, 0, 0, 0, 25956, 0, 576, 0, 0, 0, -19724, 0, 0, 0, 0, 0, -30624, 0, 0, 0, -27312, 0, -760, 0, -54936, 0, -5808, 0, -35724, 0, -2784, 0, 0, 0, 25388, 0, 0, 0, 0, 0, 35672, 0, 0, 0, 48024, 0, -4544, 0, 19656, 0, 24024, 0, -1260, 0, -29328, 0, 0, 0, 1112, 0, 0, 0, 0, 0, -32296, 0, 0, 0, -32352, 0, -22744, 0, -9000, 0, 14736, 0, -34620, 0, 624, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31280, 0, 0, 0, -300, 0, 552, 0, 67032, 0, -35976, 0, 11212, 0, -3960, 0, 0, 0, -15120, 0, 0, 0, 0, 0, -6640, 0, 0, 0, -36564, 0, -1820, 0, -39828, 0, -3240, 0, -17248, 0, 360, 0, 0, 0, 26468, 0, 0, 0, 0, 0, 72864, 0, 0, 0, -2232, 0, 100, 0, 68064, 0, 33792, 0, 18088, 0, 6096, 0, 0, 0, 16052, 0, 0, 0, 0, 0, -83392, 0, 0, 0, 27192, 0, 14888, 0, -95064, 0, 24768, 0, 6200, 0, -6384, 0, 0, 0, -48088, 0, 0, 0, 0, 0, 111976, 0, 0, 0, 39132, 0, -5256, 0, 5700, 0, -32304, 0, -1016, 0, 60936, 0, 0, 0, -11640, 0, 0, 0, 0, 0, -117680, 0, 0, 0, 12480, 0, 9272, 0, -127032, 0, -8352, 0, 5468, 0, 14520, 0, 0, 0, 41400, 0, 0, 0, 0, 0, 16620, 0, 0, 0, 7044, 0, 13004, 0, 172368, 0, 15000, 0, -14936, 0, -15192, 0, 0, 0, 18020, 0, 0, 0, 0, 0, -118992, 0, 0, 0, 3768, 0, -11160, 0, -94068, 0, 16224, 0, -7200, 0, -30720, 0, 0, 0, -71568, 0, 0, 0, 0, 0, 138520, 0, 0, 0, -33120, 0, -39076, 0, 174864, 0, -25320, 0, -3300, 0, -23424, 0, 0, 0, -10792, 0, 0, 0, 0, 0, -151224, 0, 0, 0, 59340, 0, 54712, 0, -17220, 0, -9888, 0, 18772, 0, 37872, 0, 0, 0, 7180, 0, 0, 0, 0, 0, 158432, 0, 0, 0, -12600, 0, 47816, 0, 117744, 0, 83448, 0, -63652, 0, 0, 0, 0, 0, 29712, 0, 0, 0, 0, 0, -51500, 0, 0, 0, 63420, 0, -17368, 0, -189348, 0, 15480, 0, 32348, 0, -52056, 0, 0, 0, -94860, 0, 0, 0, 0, 0, 187128, 0, 0, 0, -67128, 0, -11920, 0, 178968, 0, -81240, 0, -29572, 0, 44880, 0, 0, 0, -56584, 0, 0, 0, 0, 0, -161492, 0, 0, 0, -64992, 0, 16948, 0, -130272, 0, -70320, 0, 18960, 0, 56688, 0, 0, 0, 91088, 0, 0, 0, 0, 0, 186632, 0, 0, 0, -63564, 0, 60768, 0, 37920, 0, 111768, 0, -70512, 0, -57816, 0, 0, 0, 2900, 0, 0, 0, 0, 0, -205008, 0, 0, 0, 15660, 0, -60784, 0, -228600, 0, 19080, 0, 124524, 0, 7680, 0, 0, 0, -55600, 0, 0, 0, 0, 0, 34100, 0, 0, 0, 12780, 0, -85432, 0, 128028, 0, -26160, 0, -42304, 0, 42216, 0, 0, 0, -27088, 0, 0, 0, 0, 0, -184320, 0, 0, 0, 217008, 0, -1900, 0, -241860, 0, -11112, 0, 21280, 0, 34224, 0, 0, 0, 107200, 0, 0, 0, 0, 0, 222724, 0, 0, 0, -94848, 0, 58736, 0, 273720, 0, 52632, 0, -30900, 0, -27696, 0, 0, 0, 40176, 0, 0, 0, 0, 0, -213004, 0, 0, 0, -42276, 0, -31256, 0, -52920, 0, 28008, 0, 92992, 0, -46488, 0, 0, 0, -31100, 0, 0, 0, 0, 0, 209344, 0, 0, 0, -53280, 0, -13520, 0, 252240, 0, -133728, 0, -160540, 0, 22680, 0, 0, 0, -48832, 0, 0, 0, 0, 0, -16400, 0, 0, 0, 163008, 0, 30792, 0, -295380, 0, -28320, 0, 42940, 0, 27240, 0, 0, 0, 115388, 0, 0, 0, 0, 0, 276480, 0], 'weight': 4, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [-0.6376976216782021, 0.7702867928933772], [0.0, 0.0], [-0.4472135954999579, 0.0], [0.0, 0.0], [0.0, -1.6669760864058523], [0.0, 0.0], [-0.18668348661192932, -0.9824201116764729], [0.0, 0.0], [0.0, -1.2553899424965824], [0.0, 0.0], [0.0, 1.6390942493545888], [0.0, 0.0], [0.28518704623248065, -0.3444827262159787], [0.0, 0.0], [0.0, 0.19813588027986495], [0.0, 0.0], [-0.5540621189873062, 0.0], [0.0, 0.0], [1.2840496634275174, 1.0630266856954491], [0.0, 0.0], [0.673928263064456, 0.0], [0.0, 0.0], [0.2, 0.0], [0.0, 0.0], [0.8757928525162457, 0.4826871445164637], [0.0, 0.0], [-0.5498375514351931, 0.0], [0.0, 0.0], [0.0, 1.3193903232519009], [0.0, 0.0], [0.9670102926362938, 0.8005591806088055], [0.0, 0.0], [0.0, 0.7454943692140098], [0.0, 0.0], [0.0, -0.024820489589191315], [0.0, 0.0], [-1.2625726525853238, -1.0452465045198391], [0.0, 0.0], [0.0, -0.23260872509288255], [0.0, 0.0], [-0.23107625471572957, 0.0], [0.0, 0.0], [0.08348739326818917, 0.4393516304343057], [0.0, 0.0], [-1.6422750975100289, 0.0], [0.0, 0.0], [-1.7788092726489717, 0.0], [0.0, 0.0], [-0.15262145177788333, -0.12635077962358687], [0.0, 0.0], [-0.058949574661255284, 0.0], [0.0, 0.0], [0.0, 0.5614274499383821], [0.0, 0.0], [0.3533240955401902, -0.42678673269844086], [0.0, 0.0], [0.0, -0.8494564655155605], [0.0, 0.0], [0.0, 1.235000871578047], [0.0, 0.0], [-1.6376708329688474, 0.31119690790895327], [0.0, 0.0], [0.0, -0.7330252326171703], [0.0, 0.0], [-0.673569988809535, 0.0], [0.0, 0.0], [-0.4297624505379253, 0.5191180403961241], [0.0, 0.0], [-0.17064584936613597, 0.0], [0.0, 0.0], [1.4391843651727074, 0.0], [0.0, 0.0], [-0.12753952433564042, 0.15405735857867545], [0.0, 0.0], [-2.092705013256221, 0.0], [0.0, 0.0], [0.0, 1.4534071100642951], [0.0, 0.0], [-0.9302985516528272, 0.3668032235308899], [0.0, 0.0], [0.0, 0.7788439576640775], [0.0, 0.0], [0.0, -0.08860905941750762], [0.0, 0.0], [0.35063009885958873, -0.4235326041073622], [0.0, 0.0], [0.0, 1.501850507714143], [0.0, 0.0], [2.7323309170394507, 0.0], [0.0, 0.0], [-1.016308940672263, -0.8413720712029714], [0.0, 0.0], [0.24778411236263873, 0.0], [0.0, 0.0], [0.9803079802650936, 0.0], [0.0, 0.0], [-1.2333203275050135, 0.23436057152281148], [0.0, 0.0]], 'angles': [None, None, None, -0.3431701955422151, -0.3919992619505557, 0.15288745794513597, 0.015793057957110727, -0.2946752463543317, -0.1952999441351741, -0.29432548273893827, 0.11465730063439496, -0.4980247974922159, -0.4814475988991768, -0.26842962326173925, -0.4033300816502904, -0.2546917376022858, -0.43018482598156793, 0.10592731091213008, -0.3046697753981115, -0.2635960959770762, -0.12216438740177626, 0.12947430173345317, 0.0636626056111652, 0.13519608310330092, -0.1684702683303962, -0.39871028279369053, 0.04038795782189723, -0.39486450328227973, 0.013194406050441027, -0.45548338539709016, 0.12031796950875198, 0.13750146752053297, 0.06566216472556945, -0.4412427528036878, -0.2406634549399268, -0.45006959973217786, 0.07661495918934853, -0.25172426057762837, -0.20232137557814223, -0.15890874318011267, -0.4685435360533855, 0.002363208223636175, -0.3220732824528439, -0.25219318209249364, -0.13174007533016674, -0.4493009732921874, -0.25851227691081535, 0.017347969279111943, -0.39917559282135284, 0.16278612996276426, 0.05146123102643648, -0.2700396677470636, -0.3693975785121166, 0.007931090277168167, -0.41493449340915645, -0.3289551531969725, -0.24699104303916922, 0.12700858595875109, -0.4427572773523119, -0.3860731710818719, -0.3398812787733782, -0.2451640185477667, -0.08360683996891927, -0.14771357691507786, -0.27611978125781417, -0.27921201732330714, -0.2562750611454796, -0.22994583301518462, -0.4972026110603386, -0.34009434573007746, -0.45916374735320065, -0.33925527396143074, 0.10487710749479028, 0.09514198288781626, -0.24245658776819995, -0.2549338119783701, -0.22051643539522087, 0.011292869465980822, 0.03159340946773786, -0.31288807931872376, -0.4525026160631099, 0.07092738750954991, -0.32748975588861384, -0.29194886288601496, 0.04754340691413076, 0.07195925756516579, 0.02175009078094532, -0.29204668783774734, -0.389703841790269, -0.37547325100174006, 0.10419575880752549, -0.1721324275427237, -0.4224112504480525, -0.3720991486787834, -0.3449864898161475, -0.4617481524282331, -0.2223800087551863, -0.46457562019539494, -0.3371848392212599, -0.3810068794748879], 'char_orbit_index': 2, 'conrey_index': 431, 'dual_conrey_index': 431, 'dual_embedding_index': 7, 'dual_embedding_m': 7, 'embedding_index': 8, 'embedding_m': 8, 'hecke_orbit': 1, 'hecke_orbit_code': 68786586080, 'label': '480.4.b.a.431.8', 'level': 480, 'weight': 4}
• 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': 7680, 'analytic_conductor': 28.320916802755495, 'char_conductor': 24, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [480, 2, [31, 421, 161, 97], [1, 1, 1, 2]], 'conrey_index': 431, 'cusp_dim': 272, 'dim': 48, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_orbit_code': 68786586080, 'hecke_orbit_dims': [24, 24], 'label': '480.4.b', 'level': 480, '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, 5], 'level_radical': 30, 'mf_dim': 304, 'mf_new_dim': 48, 'num_forms': 2, 'prim_orbit_index': 6, 'relative_dim': 48, 'sturm_bound': 384, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 'traces': [48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 1200, 0, -264, 0, 0, 0, 0, 0, 232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1632, 0, 1400, 0, 0, 0, 0, 0, -344, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3264, 0, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3600, 0, 0, 0, 0, 0, 1584, 0, 2656, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2280, 0, 0, 0, 0, 0, -5808, 0, -6648, 0, 0, 0, 0, 0, 4464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6888, 0, 0, 0, 0, 0, 0, 0, 20600, 0, 0, 0, 0, 0, 4768, 0, 0, 0, 0, 0, 0, 0, 0, 0, -15168, 0, 0, 0, 0, 0, -3072, 0, -13640, 0, 0, 0, 0, 0, 760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21168, 0, 0, 0, 0, 0, -9072, 0, 6560, 0, 0, 0, 0, 0, 1536, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32664, 0, 0, 0, 0, 0, 1728, 0, -24928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9240, 0, 0, 0, 0, 0, 9744, 0, 34200, 0, 0, 0, 0, 0, 5984, 0, 0, 0, 0, 0, 0, 0, 0, 0, -45264, 0, 0, 0, 0, 0, 5280, 0, -37808, 0, 0, 0, 0, 0, -8608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31536, 0, 0, 0, 0, 0, -30528, 0, 46576, 0, 0, 0, 0, 0, 8856, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36672, 0, 0, 0, 0, 0, -18432, 0, -4760, 0, 0, 0, 0, 0, 23360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 55608, 0, 0, 0, 0, 0, 19872, 0, 58856, 0, 0, 0, 0, 0, 9800, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2160, 0, 0, 0, 0, 0, 6144, 0, -40896, 0, 0, 0, 0, 0, -48256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28824, 0, 0, 0, 0, 0, 0, 0, 51912, 0, 0, 0, 0, 0, -39448, 0, 0, 0, 0, 0, 0, 0, 0, 0, -54624, 0, 0, 0, 0, 0, -11616, 0, -71448, 0, 0, 0, 0, 0, 50776, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96048, 0, 0, 0, 0, 0, 48048, 0, -2520, 0, 0, 0, 0, 0, 2224, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64704, 0, 0, 0, 0, 0, 29472, 0, -69240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -600, 0, 0, 0, 0, 0, -71952, 0, 22424, 0, 0, 0, 0, 0, -30240, 0, 0, 0, 0, 0, 0, 0, 0, 0, -73128, 0, 0, 0, 0, 0, -6480, 0, -34496, 0, 0, 0, 0, 0, 52936, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4464, 0, 0, 0, 0, 0, 67584, 0, 36176, 0, 0, 0, 0, 0, 32104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54384, 0, 0, 0, 0, 0, 49536, 0, 12400, 0, 0, 0, 0, 0, -96176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 78264, 0, 0, 0, 0, 0, -64608, 0, -2032, 0, 0, 0, 0, 0, -23280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24960, 0, 0, 0, 0, 0, -16704, 0, 10936, 0, 0, 0, 0, 0, 82800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14088, 0, 0, 0, 0, 0, 30000, 0, -29872, 0, 0, 0, 0, 0, 36040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7536, 0, 0, 0, 0, 0, 32448, 0, -14400, 0, 0, 0, 0, 0, -143136, 0, 0, 0, 0, 0, 0, 0, 0, 0, -66240, 0, 0, 0, 0, 0, -50640, 0, -6600, 0, 0, 0, 0, 0, -21584, 0, 0, 0, 0, 0, 0, 0, 0, 0, 118680, 0, 0, 0, 0, 0, -19776, 0, 37544, 0, 0, 0, 0, 0, 14360, 0, 0, 0, 0, 0, 0, 0, 0, 0, -25200, 0, 0, 0, 0, 0, 166896, 0, -127304, 0, 0, 0, 0, 0, 59424, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126840, 0, 0, 0, 0, 0, 30960, 0, 64696, 0, 0, 0, 0, 0, -189720, 0, 0, 0, 0, 0, 0, 0, 0, 0, -134256, 0, 0, 0, 0, 0, -162480, 0, -59144, 0, 0, 0, 0, 0, -113168, 0, 0, 0, 0, 0, 0, 0, 0, 0, -129984, 0, 0, 0, 0, 0, -140640, 0, 37920, 0, 0, 0, 0, 0, 182176, 0, 0, 0, 0, 0, 0, 0, 0, 0, -127128, 0, 0, 0, 0, 0, 223536, 0, -141024, 0, 0, 0, 0, 0, 5800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31320, 0, 0, 0, 0, 0, 38160, 0, 249048, 0, 0, 0, 0, 0, -111200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25560, 0, 0, 0, 0, 0, -52320, 0, -84608, 0, 0, 0, 0, 0, -54176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 434016, 0, 0, 0, 0, 0, -22224, 0, 42560, 0, 0, 0, 0, 0, 214400, 0, 0, 0, 0, 0, 0, 0, 0, 0, -189696, 0, 0, 0, 0, 0, 105264, 0, -61800, 0, 0, 0, 0, 0, 80352, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84552, 0, 0, 0, 0, 0, 56016, 0, 185984, 0, 0, 0, 0, 0, -62200, 0, 0, 0, 0, 0, 0, 0, 0, 0, -106560, 0, 0, 0, 0, 0, -267456, 0, -321080, 0, 0, 0, 0, 0, -97664, 0, 0, 0, 0, 0, 0, 0, 0, 0, 326016, 0, 0, 0, 0, 0, -56640, 0, 85880, 0, 0, 0, 0, 0, 230776, 0, 0, 0, 0, 0, 0, 0], 'weight': 4, '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: 633243
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 431, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 68786586080, 'source_is_minimal': False, 'source_label': '480.4.b.a.431.8', 'source_level': 480, 'target_conrey_index': 431, 'target_dim': 24, 'target_embedding_index': 8, 'target_hecke_orbit_code': 68786586080, 'target_is_minimal': False, 'target_label': '480.4.b.a.431.8', 'target_level': 480, 'twist_class_label': '120.4.b.a.11.13', 'twist_class_level': 120, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 633244
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 431, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 68786586080, 'source_is_minimal': False, 'source_label': '480.4.b.a.431.8', 'source_level': 480, 'target_conrey_index': 431, 'target_dim': 24, 'target_embedding_index': 7, 'target_hecke_orbit_code': 4503668413956576, 'target_is_minimal': False, 'target_label': '480.4.b.b.431.7', 'target_level': 480, 'twist_class_label': '120.4.b.a.11.13', 'twist_class_level': 120, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 633245
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 431, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 68786586080, 'source_is_minimal': False, 'source_label': '480.4.b.a.431.8', 'source_level': 480, 'target_conrey_index': 11, 'target_dim': 24, 'target_embedding_index': 12, 'target_hecke_orbit_code': 4503668413956216, 'target_is_minimal': True, 'target_label': '120.4.b.b.11.12', 'target_level': 120, 'twist_class_label': '120.4.b.a.11.13', 'twist_class_level': 120, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 633246
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 431, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 68786586080, 'source_is_minimal': False, 'source_label': '480.4.b.a.431.8', 'source_level': 480, 'target_conrey_index': 431, 'target_dim': 24, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4503668413956576, 'target_is_minimal': False, 'target_label': '480.4.b.b.431.8', 'target_level': 480, 'twist_class_label': '120.4.b.a.11.13', 'twist_class_level': 120, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 633247
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 431, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 68786586080, 'source_is_minimal': False, 'source_label': '480.4.b.a.431.8', 'source_level': 480, 'target_conrey_index': 11, 'target_dim': 24, 'target_embedding_index': 14, 'target_hecke_orbit_code': 68786585720, 'target_is_minimal': True, 'target_label': '120.4.b.a.11.14', 'target_level': 120, 'twist_class_label': '120.4.b.a.11.13', 'twist_class_level': 120, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 633248
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 431, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 68786586080, 'source_is_minimal': False, 'source_label': '480.4.b.a.431.8', 'source_level': 480, 'target_conrey_index': 11, 'target_dim': 24, 'target_embedding_index': 13, 'target_hecke_orbit_code': 68786585720, 'target_is_minimal': True, 'target_label': '120.4.b.a.11.13', 'target_level': 120, 'twist_class_label': '120.4.b.a.11.13', 'twist_class_level': 120, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 633249
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 431, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 68786586080, 'source_is_minimal': False, 'source_label': '480.4.b.a.431.8', 'source_level': 480, 'target_conrey_index': 11, 'target_dim': 24, 'target_embedding_index': 11, 'target_hecke_orbit_code': 4503668413956216, 'target_is_minimal': True, 'target_label': '120.4.b.b.11.11', 'target_level': 120, 'twist_class_label': '120.4.b.a.11.13', 'twist_class_level': 120, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 633250
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 431, 'source_dim': 24, 'source_embedding_index': 8, 'source_hecke_orbit_code': 68786586080, 'source_is_minimal': False, 'source_label': '480.4.b.a.431.8', 'source_level': 480, 'target_conrey_index': 431, 'target_dim': 24, 'target_embedding_index': 7, 'target_hecke_orbit_code': 68786586080, 'target_is_minimal': False, 'target_label': '480.4.b.a.431.7', 'target_level': 480, 'twist_class_label': '120.4.b.a.11.13', 'twist_class_level': 120, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 4}
• hecke_orbit_code 68786586080 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 2, 'hecke_orbit': 1, 'label': '480.4.b.a', 'level': 480, 'portrait': 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', 'weight': 4}
• 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: 4842949
    {'hecke_orbit_code': 68786586080, 'n': 1, 'trace_an': 24}
  • id: 4842950
    {'hecke_orbit_code': 68786586080, 'n': 2, 'trace_an': 0}
  • id: 4842951
    {'hecke_orbit_code': 68786586080, 'n': 3, 'trace_an': 0}
  • id: 4842952
    {'hecke_orbit_code': 68786586080, 'n': 4, 'trace_an': 0}
  • id: 4842953
    {'hecke_orbit_code': 68786586080, 'n': 5, 'trace_an': -120}
  • id: 4842954
    {'hecke_orbit_code': 68786586080, 'n': 6, 'trace_an': 0}
  • id: 4842955
    {'hecke_orbit_code': 68786586080, 'n': 7, 'trace_an': 0}
  • id: 4842956
    {'hecke_orbit_code': 68786586080, 'n': 8, 'trace_an': 0}
  • id: 4842957
    {'hecke_orbit_code': 68786586080, 'n': 9, 'trace_an': 0}
  • id: 4842958
    {'hecke_orbit_code': 68786586080, 'n': 10, 'trace_an': 0}
  • id: 4842959
    {'hecke_orbit_code': 68786586080, 'n': 11, 'trace_an': 0}
  • id: 4842960
    {'hecke_orbit_code': 68786586080, 'n': 12, 'trace_an': 0}
  • id: 4842961
    {'hecke_orbit_code': 68786586080, 'n': 13, 'trace_an': 0}
  • id: 4842962
    {'hecke_orbit_code': 68786586080, 'n': 14, 'trace_an': 0}
  • id: 4842963
    {'hecke_orbit_code': 68786586080, 'n': 15, 'trace_an': 0}
  • id: 4842964
    {'hecke_orbit_code': 68786586080, 'n': 16, 'trace_an': 0}
  • id: 4842965
    {'hecke_orbit_code': 68786586080, 'n': 17, 'trace_an': 0}
  • id: 4842966
    {'hecke_orbit_code': 68786586080, 'n': 18, 'trace_an': 0}
  • id: 4842967
    {'hecke_orbit_code': 68786586080, 'n': 19, 'trace_an': -12}
  • id: 4842968
    {'hecke_orbit_code': 68786586080, 'n': 20, 'trace_an': 0}
  • id: 4842969
    {'hecke_orbit_code': 68786586080, 'n': 21, 'trace_an': 4}
  • id: 4842970
    {'hecke_orbit_code': 68786586080, 'n': 22, 'trace_an': 0}
  • id: 4842971
    {'hecke_orbit_code': 68786586080, 'n': 23, 'trace_an': 228}
  • id: 4842972
    {'hecke_orbit_code': 68786586080, 'n': 24, 'trace_an': 0}
  • id: 4842973
    {'hecke_orbit_code': 68786586080, 'n': 25, 'trace_an': 600}
  • id: 4842974
    {'hecke_orbit_code': 68786586080, 'n': 26, 'trace_an': 0}
  • id: 4842975
    {'hecke_orbit_code': 68786586080, 'n': 27, 'trace_an': -132}
  • id: 4842976
    {'hecke_orbit_code': 68786586080, 'n': 28, 'trace_an': 0}
  • id: 4842977
    {'hecke_orbit_code': 68786586080, 'n': 29, 'trace_an': 0}
  • id: 4842978
    {'hecke_orbit_code': 68786586080, 'n': 30, 'trace_an': 0}
  • id: 4842979
    {'hecke_orbit_code': 68786586080, 'n': 31, 'trace_an': 0}
  • id: 4842980
    {'hecke_orbit_code': 68786586080, 'n': 32, 'trace_an': 0}
  • id: 4842981
    {'hecke_orbit_code': 68786586080, 'n': 33, 'trace_an': 116}
  • id: 4842982
    {'hecke_orbit_code': 68786586080, 'n': 34, 'trace_an': 0}
  • id: 4842983
    {'hecke_orbit_code': 68786586080, 'n': 35, 'trace_an': 0}
  • id: 4842984
    {'hecke_orbit_code': 68786586080, 'n': 36, 'trace_an': 0}
  • id: 4842985
    {'hecke_orbit_code': 68786586080, 'n': 37, 'trace_an': 0}
  • id: 4842986
    {'hecke_orbit_code': 68786586080, 'n': 38, 'trace_an': 0}
  • id: 4842987
    {'hecke_orbit_code': 68786586080, 'n': 39, 'trace_an': -656}
  • id: 4842988
    {'hecke_orbit_code': 68786586080, 'n': 40, 'trace_an': 0}
  • id: 4842989
    {'hecke_orbit_code': 68786586080, 'n': 41, 'trace_an': 0}
  • id: 4842990
    {'hecke_orbit_code': 68786586080, 'n': 42, 'trace_an': 0}
  • id: 4842991
    {'hecke_orbit_code': 68786586080, 'n': 43, 'trace_an': 0}
  • id: 4842992
    {'hecke_orbit_code': 68786586080, 'n': 44, 'trace_an': 0}
  • id: 4842993
    {'hecke_orbit_code': 68786586080, 'n': 45, 'trace_an': 0}
  • id: 4842994
    {'hecke_orbit_code': 68786586080, 'n': 46, 'trace_an': 0}
  • id: 4842995
    {'hecke_orbit_code': 68786586080, 'n': 47, 'trace_an': -924}
  • id: 4842996
    {'hecke_orbit_code': 68786586080, 'n': 48, 'trace_an': 0}
  • id: 4842997
    {'hecke_orbit_code': 68786586080, 'n': 49, 'trace_an': -816}
  • id: 4842998
    {'hecke_orbit_code': 68786586080, 'n': 50, 'trace_an': 0}
  • id: 4842999
    {'hecke_orbit_code': 68786586080, 'n': 51, 'trace_an': 700}
  • id: 4843000
    {'hecke_orbit_code': 68786586080, 'n': 52, 'trace_an': 0}
  • id: 4843001
    {'hecke_orbit_code': 68786586080, 'n': 53, 'trace_an': -528}
  • id: 4843002
    {'hecke_orbit_code': 68786586080, 'n': 54, 'trace_an': 0}
  • id: 4843003
    {'hecke_orbit_code': 68786586080, 'n': 55, 'trace_an': 0}
  • id: 4843004
    {'hecke_orbit_code': 68786586080, 'n': 56, 'trace_an': 0}
  • id: 4843005
    {'hecke_orbit_code': 68786586080, 'n': 57, 'trace_an': -172}
  • id: 4843006
    {'hecke_orbit_code': 68786586080, 'n': 58, 'trace_an': 0}
  • id: 4843007
    {'hecke_orbit_code': 68786586080, 'n': 59, 'trace_an': 0}
  • id: 4843008
    {'hecke_orbit_code': 68786586080, 'n': 60, 'trace_an': 0}
  • id: 4843009
    {'hecke_orbit_code': 68786586080, 'n': 61, 'trace_an': 0}
  • id: 4843010
    {'hecke_orbit_code': 68786586080, 'n': 62, 'trace_an': 0}
  • id: 4843011
    {'hecke_orbit_code': 68786586080, 'n': 63, 'trace_an': 476}
  • id: 4843012
    {'hecke_orbit_code': 68786586080, 'n': 64, 'trace_an': 0}
  • id: 4843013
    {'hecke_orbit_code': 68786586080, 'n': 65, 'trace_an': 0}
  • id: 4843014
    {'hecke_orbit_code': 68786586080, 'n': 66, 'trace_an': 0}
  • id: 4843015
    {'hecke_orbit_code': 68786586080, 'n': 67, 'trace_an': -1632}
  • id: 4843016
    {'hecke_orbit_code': 68786586080, 'n': 68, 'trace_an': 0}
  • id: 4843017
    {'hecke_orbit_code': 68786586080, 'n': 69, 'trace_an': -980}
  • id: 4843018
    {'hecke_orbit_code': 68786586080, 'n': 70, 'trace_an': 0}
  • id: 4843019
    {'hecke_orbit_code': 68786586080, 'n': 71, 'trace_an': 216}
  • id: 4843020
    {'hecke_orbit_code': 68786586080, 'n': 72, 'trace_an': 0}
  • id: 4843021
    {'hecke_orbit_code': 68786586080, 'n': 73, 'trace_an': -216}
  • id: 4843022
    {'hecke_orbit_code': 68786586080, 'n': 74, 'trace_an': 0}
  • id: 4843023
    {'hecke_orbit_code': 68786586080, 'n': 75, 'trace_an': 0}
  • id: 4843024
    {'hecke_orbit_code': 68786586080, 'n': 76, 'trace_an': 0}
  • id: 4843025
    {'hecke_orbit_code': 68786586080, 'n': 77, 'trace_an': 0}
  • id: 4843026
    {'hecke_orbit_code': 68786586080, 'n': 78, 'trace_an': 0}
  • id: 4843027
    {'hecke_orbit_code': 68786586080, 'n': 79, 'trace_an': 0}
  • id: 4843028
    {'hecke_orbit_code': 68786586080, 'n': 80, 'trace_an': 0}
  • id: 4843029
    {'hecke_orbit_code': 68786586080, 'n': 81, 'trace_an': 152}
  • id: 4843030
    {'hecke_orbit_code': 68786586080, 'n': 82, 'trace_an': 0}
  • id: 4843031
    {'hecke_orbit_code': 68786586080, 'n': 83, 'trace_an': 0}
  • id: 4843032
    {'hecke_orbit_code': 68786586080, 'n': 84, 'trace_an': 0}
  • id: 4843033
    {'hecke_orbit_code': 68786586080, 'n': 85, 'trace_an': 0}
  • id: 4843034
    {'hecke_orbit_code': 68786586080, 'n': 86, 'trace_an': 0}
  • id: 4843035
    {'hecke_orbit_code': 68786586080, 'n': 87, 'trace_an': 252}
  • id: 4843036
    {'hecke_orbit_code': 68786586080, 'n': 88, 'trace_an': 0}
  • id: 4843037
    {'hecke_orbit_code': 68786586080, 'n': 89, 'trace_an': 0}
  • id: 4843038
    {'hecke_orbit_code': 68786586080, 'n': 90, 'trace_an': 0}
  • id: 4843039
    {'hecke_orbit_code': 68786586080, 'n': 91, 'trace_an': 1800}
  • id: 4843040
    {'hecke_orbit_code': 68786586080, 'n': 92, 'trace_an': 0}
  • id: 4843041
    {'hecke_orbit_code': 68786586080, 'n': 93, 'trace_an': 0}
  • id: 4843042
    {'hecke_orbit_code': 68786586080, 'n': 94, 'trace_an': 0}
  • id: 4843043
    {'hecke_orbit_code': 68786586080, 'n': 95, 'trace_an': 60}
  • id: 4843044
    {'hecke_orbit_code': 68786586080, 'n': 96, 'trace_an': 0}
  • id: 4843045
    {'hecke_orbit_code': 68786586080, 'n': 97, 'trace_an': 792}
  • id: 4843046
    {'hecke_orbit_code': 68786586080, 'n': 98, 'trace_an': 0}
  • id: 4843047
    {'hecke_orbit_code': 68786586080, 'n': 99, 'trace_an': 1328}
  • id: 4843048
    {'hecke_orbit_code': 68786586080, 'n': 100, 'trace_an': 0}