Newform data - 256.12.a.k

Formats: - HTML - YAML - JSON - 2026-04-03T01:31:03.653787

• 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': 36864, 'analytic_conductor': 196.69585422325474, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1]], 'atkin_lehner_string': '-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [256, 1, [255, 5], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 6, 'field_disc': 304475940240258888300, 'field_disc_factorization': [[2, 2], [3, 1], [5, 2], [1583, 2], [636407, 2]], 'field_poly': [-42187500, 0, 512875, 0, -1640, 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': [[3, [-1909477048320000, 0, 97883320320, 0, -610624, 0, 1]], [5, [-172799611200, -84467280, -1628, 1]], [7, [-4793438289348518026936320000, 0, 9052003049663365120, 0, -5325722624, 0, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45035996475031808, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 164926744166400, 'hecke_ring_index_factorization': [[2, 41], [3, 1], [5, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 0]], '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': '256.12.a.k', 'level': 256, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '128.12.b.f', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{3}+(543+\\beta _{4})q^{5}+(-5\\beta _{1}-\\beta _{2}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '11.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '256.12.a', 'trace_display': [0, 0, 3256, 0], 'trace_hash': 532998351944128767, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.613', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '157.563', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6389.581', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.505', 'prec': 17}, 'traces': [6, 0, 0, 0, 3256, 0, 0, 0, 158366, 0, 0, 0, -1974152, 0, 0, 0, 5650868, 0, 0, 0, -5622272, 0, 0, 0, 50201138, 0, 0, 0, -78510600, 0, 0, 0, -185111168, 0, 0, 0, -187521320, 0, 0, 0, -729393436, 0, 0, 0, 94716312, 0, 0, 0, -1212515210, 0, 0, 0, -1345806024, 0, 0, 0, 4211057792, 0, 0, 0, 13682701080, 0, 0, 0, -9028891040, 0, 0, 0, -12746864128, 0, 0, 0, 20889754044, 0, 0, 0, 6919916032, 0, 0, 0, -106544843242, 0, 0, 0, -149487054448, 0, 0, 0, 165819876316, 0, 0, 0, 263298174976, 0, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
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0, 0, 0, 208663072234176, 45292773960078], [0, -9611337938976799, -130313496063707, 4163667572748, 0, 0], [5524195263438673686, 0, 0, 0, -213054522093952, -19283624949084], [0, 5499785770301573, 137814836288716, 5518096983476, 0, 0], [0, -4251371391461241, 95270848736067, 4811618514500, 0, 0], [0, 6098958988230438, 52614398056566, 5314045798004, 0, 0], [4746299810971305787, 0, 0, 0, 213679895318177, 4906857849420], [0, -6310257810550769, -108674714304892, -6050952211652, 0, 0], [0, 5314359102816912, 158010329704032, -2727873880984, 0, 0], [681063244123364062, 0, 0, 0, 1067008319483008, -3137621951316], [-4239282677169428497, 0, 0, 0, 191666891414229, -56978944781292], [0, -8371406279689890, 144402737146449, 2465161245743, 0, 0], [0, -17618586798667531, -47691648046724, -460523636412, 0, 0], [0, -1054790828328111, -77124473868099, -4766825493328, 0, 0], [-7567251545736057060, 0, 0, 0, -520542013825344, 8173974738414], [0, 19930684197546980, 2175771609172, -1366347449376, 0, 0], 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169559372035808, -5172256525216, 0, 0], [0, -245530887987171, 121762500820980, 8248423257484, 0, 0], [2391266144873993183, 0, 0, 0, 55740594409472, 87821014321761], [-1092905499651173869, 0, 0, 0, 311176925480289, 75413162299524], [0, -18760627026035064, -144519445749048, 3323676167216, 0, 0], [0, -16754492210332261, 56117912941975, 13693249841740, 0, 0], [4118013371396108151, 0, 0, 0, -543840400144576, 19525225592565], [0, -7444032909429943, -272213032640219, 1565464624248, 0, 0], [-9807538267688780009, 0, 0, 0, 1199810687859357, -7248110609340], [4495227996509114567, 0, 0, 0, -1403493700010011, 30229346285916], [0, 1086252005085526, 135317859453830, 8032130241156, 0, 0], [0, -15521095208322023, -47787720459118, -16858034630738, 0, 0], [5090742315218586812, 0, 0, 0, 952334393200320, -35535247455330], [-7147731644503135509, 0, 0, 0, -609826685390639, 16682032724652], [0, -4900042789668494, -129567093535261, 3785167108061, 0, 0], [-8549618541854772825, 0, 0, 0, 1346052688381184, 42067908564537], [0, -11902282615647278, -373848897082051, -1515380095229, 0, 0], [0, -3048954001707283, -257140630617527, -19459557595072, 0, 0]], 'char_orbit_index': 1, 'field_poly': [-42187500, 0, 512875, 0, -1640, 0, 1], 'hecke_orbit_code': 45035996475031808, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 9375, 3125, 3125, 125, 375], 'hecke_ring_inverse_denominators': [1, 40960, 1024, 8192, 1024, 8192], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0], [0, 981, 11, 1, 0, 0], [559771, 0, 0, 0, -44, 3], [0, 327063, 2953, 123, 0, 0], [567903415, 0, 0, 0, -68060, 4095], [0, 434013495, 3658345, 130395, 0, 0]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0], [0, 811500, 0, -5560, 0, 4], [0, -44734500, 0, 255080, 0, -172], [0, 354719000, 0, -987760, 0, 584], [-3065375, 0, 21840, 0, -16, 0], [-204847875, 0, 1088960, 0, -704, 0]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 6, 'label': '256.12.a.k', 'level': 256, 'maxp': 2999, 'weight': 12}
• 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': [44, 42], 'ALdims_eis_new': [2, 2], 'ALdims_eis_old': [10, 10], 'ALdims_old': [128, 126], 'Nk2': 36864, 'analytic_conductor': 196.69585422325474, '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': [256, 1, [255, 5], [1, 1]], 'conrey_index': 1, 'cusp_dim': 340, 'dim': 86, 'eis_dim': 24, 'eis_new_dim': 4, 'hecke_cutter_primes': [3, 5, 7], 'hecke_orbit_code': 201326848, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 2, 4, 4, 6, 6, 8, 8, 8, 10, 10, 12], 'label': '256.12.a', 'level': 256, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 364, 'mf_new_dim': 90, 'num_forms': 17, 'plus_dim': 44, 'prim_orbit_index': 1, 'relative_dim': 86, 'sturm_bound': 384, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [86, 0, 0, 0, 0, 0, 0, 0, 4842022, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 761718754, 0, 0, 0, 0, 0, 0, 0, 708584, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 20848125510, 0, 0, 0, 0, 0, 0, 0, -4525726280, 0, 0, 0, 0, 0, 0, 0, -3574618080, 0, 0, 0, 0, 0, 0, 0, 92385298388, 0, 0, 0, 0, 0, 0, 0, 244075616654, 0, 0, 0, 0, 0, 0, 0, -104349567180, 0, 0, 0, 0, 0, 0, 0, -291432459620, 0, 0, 0, 0, 0, 0, 0, 7713285888, 0, 0, 0, 0, 0, 0, 0, -280852321012, 0, 0, 0, 0, 0, 0, 0, 2569990421078, 0, 0, 0, 0, 0, 0, 0, -2155018176536, 0, 0, 0, 0, 0, 0, 0, 1287964354756, 0, 0, 0, 0, 0, 0, 0, 1528957082400, 0, 0, 0, 0, 0, 0, 0, 520110266076, 0, 0, 0, 0, 0, 0, 0, -4114734984448, 0, 0, 0, 0, 0, 0, 0, 9377049369170, 0, 0, 0, 0, 0, 0, 0, 4895449076008, 0, 0, 0, 0, 0, 0, 0, -12887986579808, 0, 0, 0, 0, 0, 0, 0, -1143877459620, 0, 0, 0, 0, 0, 0, 0, -22886251956488, 0, 0, 0, 0, 0, 0, 0, -6128668640088, 0, 0, 0, 0, 0, 0, 0, 25592349875200, 0, 0, 0, 0, 0, 0, 0, 70110628667602, 0, 0, 0, 0, 0, 0, 0, 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-468933607369578, 0, 0, 0, 0, 0, 0, 0, 796892738335068, 0, 0, 0, 0, 0, 0, 0, -2216065967800892, 0, 0, 0, 0, 0, 0, 0, -1830257599609856, 0, 0, 0, 0, 0, 0, 0, -243028384722632, 0, 0, 0, 0, 0, 0, 0, -3386846013586272, 0, 0, 0, 0, 0, 0, 0, -4040887519609352, 0, 0, 0, 0, 0, 0, 0, -4470662957299456, 0, 0, 0, 0, 0, 0, 0, -3341170241954400, 0, 0, 0, 0, 0, 0, 0, 403411526499664, 0, 0, 0, 0, 0, 0, 0, 3007983224879300, 0, 0, 0, 0, 0, 0, 0, 4909369439776550, 0, 0, 0, 0, 0, 0, 0, -9130252607391304, 0, 0, 0, 0, 0, 0, 0, 3012258616092576, 0, 0, 0, 0, 0, 0, 0, -2790445940324864, 0, 0, 0, 0, 0, 0, 0, 7572775745320656, 0, 0, 0, 0, 0, 0, 0, 1376371742740324, 0, 0, 0, 0, 0, 0, 0, -944377671040468, 0, 0, 0, 0, 0, 0, 0, -9947863408632416, 0, 0, 0, 0, 0, 0, 0, -13776645383447476, 0, 0, 0, 0, 0, 0, 0, 23315681214965556, 0, 0, 0, 0, 0, 0, 0, -15966117722597632, 0, 0, 0, 0, 0, 0, 0, 2585730087020820, 0, 0, 0, 0, 0, 0, 0, 517114904415398, 0, 0, 0, 0, 0, 0, 0, -2370781936431304, 0, 0, 0, 0, 0, 0, 0, -29136165506526244, 0, 0, 0, 0, 0, 0, 0, 6516806292212984, 0, 0, 0, 0, 0, 0, 0, 16754250788369908, 0, 0, 0, 0, 0, 0, 0, -26294037367755008, 0, 0, 0, 0, 0, 0, 0, 25005905188483100, 0, 0, 0, 0, 0, 0, 0, 29469120725234424, 0, 0, 0, 0, 0, 0, 0, 21655161487447840, 0, 0, 0, 0, 0, 0, 0, 1548197348263016, 0, 0, 0, 0, 0, 0, 0, 35511975265707520, 0, 0, 0, 0, 0, 0, 0, -4841305543388160, 0, 0, 0, 0, 0, 0, 0, -1223136112218880, 0, 0, 0, 0, 0, 0, 0, 58379147935512046, 0, 0, 0, 0, 0, 0, 0, -22445617705813400, 0, 0, 0, 0, 0, 0, 0, -31177737215229792, 0, 0, 0, 0, 0, 0, 0, -54462161663501272, 0, 0, 0, 0, 0, 0, 0, 13693678151402852, 0, 0, 0, 0, 0, 0, 0, -903742228053028, 0, 0, 0, 0, 0, 0, 0, 10451215643901696, 0, 0, 0, 0, 0, 0, 0, 41629150430838176, 0, 0, 0, 0, 0, 0, 0, -48223527787015776, 0, 0, 0, 0, 0, 0, 0, 82240223832950356, 0, 0, 0, 0, 0, 0, 0, 17245428131684356, 0, 0, 0, 0, 0, 0, 0, 43341519572109736, 0, 0, 0, 0, 0, 0, 0, 72591374928037816, 0, 0, 0, 0, 0, 0, 0, -8421085448493988, 0, 0, 0, 0, 0, 0, 0, -56045675583470030, 0, 0, 0, 0, 0, 0, 0, 35780155660226856, 0, 0, 0, 0, 0, 0, 0, -14608853304628444, 0, 0, 0, 0, 0, 0, 0, -169671056043964896, 0, 0, 0, 0, 0, 0, 0, -22094776804390788, 0, 0, 0, 0, 0, 0, 0, -32744357520571764, 0, 0, 0, 0, 0, 0, 0, -126612923316703232, 0, 0, 0, 0, 0, 0, 0, -102226972916180736, 0, 0, 0, 0, 0, 0, 0, 117571972520256160, 0, 0, 0, 0, 0, 0, 0, 69125727728302632, 0, 0, 0, 0, 0, 0, 0, 68304849472367416, 0, 0, 0, 0, 0, 0, 0, -23419452326666212, 0, 0, 0, 0, 0, 0, 0, -78479230848469740, 0, 0, 0, 0, 0, 0, 0, 351172707756231168, 0, 0, 0, 0, 0, 0, 0, 83695433623752548, 0, 0, 0, 0, 0, 0, 0, 76457857968439830, 0, 0, 0, 0, 0, 0, 0, -116131319956418960, 0, 0, 0, 0, 0, 0, 0, 25084628753247612, 0, 0, 0, 0, 0, 0, 0, -110339986596548832, 0, 0, 0, 0, 0, 0, 0, -53774296248961816, 0, 0, 0, 0, 0, 0, 0], 'weight': 12, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 206438
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '256.12.a.k', 'source_level': 256, 'target_char_orbit': 2, 'target_dim': 12, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '128.12.b.f', 'target_level': 128, 'twist_class_label': '128.12.b.f', 'twist_class_level': 128, 'twisting_char_label': '16.e', 'twisting_char_orbit': 5, 'weight': 12}
  • id: 206439
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '256.12.a.k', 'source_level': 256, 'target_char_orbit': 2, 'target_dim': 12, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '128.12.b.f', 'target_level': 128, 'twist_class_label': '128.12.b.f', 'twist_class_level': 128, 'twisting_char_label': '16.f', 'twisting_char_orbit': 6, 'weight': 12}
  • id: 206440
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '256.12.a.k', 'source_level': 256, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '256.12.a.j', 'target_level': 256, 'twist_class_label': '128.12.b.f', 'twist_class_level': 128, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 12}
  • id: 206441
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '256.12.a.k', 'source_level': 256, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '256.12.a.j', 'target_level': 256, 'twist_class_label': '128.12.b.f', 'twist_class_level': 128, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 12}
  • id: 206442
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '256.12.a.k', 'source_level': 256, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '256.12.a.k', 'target_level': 256, 'twist_class_label': '128.12.b.f', 'twist_class_level': 128, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 12}
  • id: 206443
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 11, 'source_is_minimal': False, 'source_label': '256.12.a.k', 'source_level': 256, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '256.12.a.k', 'target_level': 256, 'twist_class_label': '128.12.b.f', 'twist_class_level': 128, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 12}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 600150
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 45035996475031808, 'p': 2}
  • id: 600151
    {'charpoly_factorization': [[[-1909477048320000, 0, 97883320320, 0, -610624, 0, 1], 1]], 'hecke_orbit_code': 45035996475031808, 'p': 3}
  • id: 600152
    {'charpoly_factorization': [[[-172799611200, -84467280, -1628, 1], 2]], 'hecke_orbit_code': 45035996475031808, 'p': 5}
  • id: 600153
    {'charpoly_factorization': [[[-4793438289348518026936320000, 0, 9052003049663365120, 0, -5325722624, 0, 1], 1]], 'hecke_orbit_code': 45035996475031808, 'p': 7}
  • id: 600154
    {'charpoly_factorization': [[[-40883527628390911008451276800000000, 0, 605586135720109110784000, 0, -1490801148224, 0, 1], 1]], 'hecke_orbit_code': 45035996475031808, 'p': 11}
  • id: 600155
    {'charpoly_factorization': [[[-3813675746759790400, -3523750674256, 987076, 1], 2]], 'hecke_orbit_code': 45035996475031808, 'p': 13}
  • id: 600156
    {'charpoly_factorization': [[[-94202176812466019192, -67848646870900, -2825434, 1], 2]], 'hecke_orbit_code': 45035996475031808, 'p': 17}
  • id: 600157
    {'charpoly_factorization': [[[-4914790431015374024444254437009677844480000, 0, 107120491707216908259511889920, 0, -610059110352704, 0, 1], 1]], 'hecke_orbit_code': 45035996475031808, 'p': 19}
  • id: 600158
    {'charpoly_factorization': [[[-38473010518193918345517278785594479083520000, 0, 864370114883802436662612459520, 0, -3681817861428224, 0, 1], 1]], 'hecke_orbit_code': 45035996475031808, 'p': 23}
  • id: 600159
    {'charpoly_factorization': [[[655605153738472241505472, -16973335795802448, 39255300, 1], 2]], 'hecke_orbit_code': 45035996475031808, 'p': 29}
  • id: 600160
    {'charpoly_factorization': [[[-7534424912770650733688402246877836640748830720000, 0, 1230770821363509106140538344570880, 0, -62777582363672576, 0, 1], 1]], 'hecke_orbit_code': 45035996475031808, 'p': 31}
  • id: 600161
    {'charpoly_factorization': [[[3768166252600501522540992, -59755461884984528, 93760660, 1], 2]], 'hecke_orbit_code': 45035996475031808, 'p': 37}
  • id: 600162
    {'charpoly_factorization': [[[37648321759024562512895400, -955683671782009620, 364696718, 1], 2]], 'hecke_orbit_code': 45035996475031808, 'p': 41}
  • id: 600163
    {'charpoly_factorization': [[[-337928773684351399562317117675223772805124338974720000, 0, 7090629625764784685552644875758202880, 0, -5297416180151840576, 0, 1], 1]], 'hecke_orbit_code': 45035996475031808, 'p': 43}
  • id: 600164
    {'charpoly_factorization': [[[-440513854852730603108625591964513249634593800192000000, 0, 17475908327361096127362976524009472000, 0, -8506891693118443520, 0, 1], 1]], 'hecke_orbit_code': 45035996475031808, 'p': 47}
  • id: 600165
    {'charpoly_factorization': [[[-6678743415058573456860927296, -8034205623022412880, 672903012, 1], 2]], 'hecke_orbit_code': 45035996475031808, 'p': 53}
  • id: 600166
    {'charpoly_factorization': [[[-4611848170279249114706618965135115222563463346892800000000, 0, 924113385341453062877500630178185605120, 0, -54690442201605559104, 0, 1], 1]], 'hecke_orbit_code': 45035996475031808, 'p': 59}
  • id: 600167
    {'charpoly_factorization': [[[305613690060319586527359858624, -50062776409399941072, -6841350540, 1], 2]], 'hecke_orbit_code': 45035996475031808, 'p': 61}
  • id: 600168
    {'charpoly_factorization': [[[-2870697223387724298093821643014747866066807148579256238080000, 0, 86194562313525873283558208576294811463680, 0, -552808611043429011264, 0, 1], 1]], 'hecke_orbit_code': 45035996475031808, 'p': 67}
  • id: 600169
    {'charpoly_factorization': [[[-16625369928334285411134768462826230282627421886195926302720000, 0, 331657967065882845591111880138038921134080, 0, -1182503700534581605376, 0, 1], 1]], 'hecke_orbit_code': 45035996475031808, 'p': 71}
  • id: 600170
    {'charpoly_factorization': [[[1341334416775602476291908641048, -148712834318121340884, -10444877022, 1], 2]], 'hecke_orbit_code': 45035996475031808, 'p': 73}
  • id: 600171
    {'charpoly_factorization': [[[-2612602349665878027566389694815376823964779831604565382266880000, 0, 9118215646018495531662326220621166327889920, 0, -5727400859819997679616, 0, 1], 1]], 'hecke_orbit_code': 45035996475031808, 'p': 79}
  • id: 600172
    {'charpoly_factorization': [[[-781810999429345096437882045524358032619353440118821359943680000, 0, 3165543654605047705720871154288677465681920, 0, -3358438945125291977024, 0, 1], 1]], 'hecke_orbit_code': 45035996475031808, 'p': 83}
  • id: 600173
    {'charpoly_factorization': [[[-8212459518051701846763982473000, 1698982594605624502380, -82909938158, 1], 2]], 'hecke_orbit_code': 45035996475031808, 'p': 89}
  • id: 600174
    {'charpoly_factorization': [[[-1194042262506530856455402858528568, -15968373809158274687540, 99193897654, 1], 2]], 'hecke_orbit_code': 45035996475031808, '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': 11, 'label': '256.12.a.k', 'level': 256, 'portrait': 'data:image/png;base64,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', 'weight': 12}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 55362133
    {'hecke_orbit_code': 45035996475031808, 'n': 1, 'trace_an': 6}
  • id: 55362134
    {'hecke_orbit_code': 45035996475031808, 'n': 2, 'trace_an': 0}
  • id: 55362135
    {'hecke_orbit_code': 45035996475031808, 'n': 3, 'trace_an': 0}
  • id: 55362136
    {'hecke_orbit_code': 45035996475031808, 'n': 4, 'trace_an': 0}
  • id: 55362137
    {'hecke_orbit_code': 45035996475031808, 'n': 5, 'trace_an': 3256}
  • id: 55362138
    {'hecke_orbit_code': 45035996475031808, 'n': 6, 'trace_an': 0}
  • id: 55362139
    {'hecke_orbit_code': 45035996475031808, 'n': 7, 'trace_an': 0}
  • id: 55362140
    {'hecke_orbit_code': 45035996475031808, 'n': 8, 'trace_an': 0}
  • id: 55362141
    {'hecke_orbit_code': 45035996475031808, 'n': 9, 'trace_an': 158366}
  • id: 55362142
    {'hecke_orbit_code': 45035996475031808, 'n': 10, 'trace_an': 0}
  • id: 55362143
    {'hecke_orbit_code': 45035996475031808, 'n': 11, 'trace_an': 0}
  • id: 55362144
    {'hecke_orbit_code': 45035996475031808, 'n': 12, 'trace_an': 0}
  • id: 55362145
    {'hecke_orbit_code': 45035996475031808, 'n': 13, 'trace_an': -1974152}
  • id: 55362146
    {'hecke_orbit_code': 45035996475031808, 'n': 14, 'trace_an': 0}
  • id: 55362147
    {'hecke_orbit_code': 45035996475031808, 'n': 15, 'trace_an': 0}
  • id: 55362148
    {'hecke_orbit_code': 45035996475031808, 'n': 16, 'trace_an': 0}
  • id: 55362149
    {'hecke_orbit_code': 45035996475031808, 'n': 17, 'trace_an': 5650868}
  • id: 55362150
    {'hecke_orbit_code': 45035996475031808, 'n': 18, 'trace_an': 0}
  • id: 55362151
    {'hecke_orbit_code': 45035996475031808, 'n': 19, 'trace_an': 0}
  • id: 55362152
    {'hecke_orbit_code': 45035996475031808, 'n': 20, 'trace_an': 0}
  • id: 55362153
    {'hecke_orbit_code': 45035996475031808, 'n': 21, 'trace_an': -5622272}
  • id: 55362154
    {'hecke_orbit_code': 45035996475031808, 'n': 22, 'trace_an': 0}
  • id: 55362155
    {'hecke_orbit_code': 45035996475031808, 'n': 23, 'trace_an': 0}
  • id: 55362156
    {'hecke_orbit_code': 45035996475031808, 'n': 24, 'trace_an': 0}
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