Embedded newform data - 104.10.f.a.25.7

Formats: - HTML - YAML - JSON - 2025-09-14T04:19:58.497357

• 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': 10400, 'analytic_conductor': 53.5637269610428, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 13, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [104, 2, [79, 53, 41], [2, 2, 1]], 'cm_discs': [], 'conrey_index': 25, 'dim': 32, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 343765155944, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 13, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '104.10.f.a', 'level': 104, '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, 13], 'level_radical': 26, 'minimal_twist': '104.10.f.a', 'prim_orbit_index': 2, 'related_objects': [], 'relative_dim': 32, 'rm_discs': [], 'sato_tate_group': '9.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '104.10.f', 'trace_display': [0, -162, 0, 0], 'traces': [32, 0, -162, 0, 0, 0, 0, 0, 223074, 0, 0, 0, 66270, 0, 0, 0, -487902, 0, 0, 0, 0, 0, 3171556, 0, -13526722, 0, -3694974, 0, 8833508, 0, 0, 0, 0, 0, -8281126, 0, 0, 0, -12056860, 0, 0, 0, 89959038, 0, 0, 0, 0, 0, -172344874, 0, 51206562, 0, 139521112, 0, -84550176, 0, 0, 0, 0, 0, 372036836, 0, 0, 0, 241471810, 0, 0, 0, -486052516, 0, 0, 0, 0, 0, -604473728, 0, -1666197144, 0, 1165982916, 0, 859636544, 0, 0, 0, 0, 0, -1738691296, 0, 0, 0, -291718146, 0, 0, 0, 1741143356, 0, 0, 0, 0, 0, 545270284, 0, 3400959804, 0, 3322256974, 0, -2265734560, 0, 0, 0, 0, 0, -1019997248, 0, 0, 0, -867525446, 0, 0, 0, -11347879640, 0, 0, 0, 0, 0, 1559685276, 0, -248562414, 0, -9970952390, 0, 14717946940, 0, 0, 0, 0, 0, 19713963242, 0, 0, 0, 2570133976, 0, 0, 0, -32643766036, 0, 0, 0, 0, 0, -11061918240, 0, 44450908960, 0, 30816585432, 0, 643432540, 0, 0, 0, 0, 0, -56777003760, 0, 0, 0, -34968965652, 0, 0, 0, 1871057144, 0, 0, 0, 0, 0, -53108857378, 0, -38590862008, 0, -53068944304, 0, 75973211378, 0, 0, 0, 0, 0, 92235205480, 0, 0, 0, 166863598662, 0, 0, 0, -43719692088, 0, 0, 0, 0, 0, -229526032, 0, 156203699976, 0, 147706688392, 0, -207714697774, 0, 0, 0, 0, 0, -56453730536, 0, 0, 0, -42964111520, 0, 0, 0, -226606974018, 0, 0, 0, 0, 0, -274260866480, 0, -211214274366, 0, -49462355318, 0, 470015722380, 0, 0, 0, 0, 0, -159626599544, 0, 0, 0, 67621354300, 0, 0, 0, 151068717200, 0, 0, 0, 0, 0, 42667277970, 0, 473314824310, 0, 215919407556, 0, -68318638032, 0, 0, 0, 0, 0, -275786400348, 0, 0, 0, -16707978462, 0, 0, 0, -149436348076, 0, 0, 0, 0, 0, 50898993504, 0, -521771886332, 0, -859128078160, 0, 642998924986, 0, 0, 0, 0, 0, 659790472908, 0, 0, 0, 262615059320, 0, 0, 0, -124616188872, 0, 0, 0, 0, 0, 559043372292, 0, 257764515708, 0, -41912116862, 0, -527040406708, 0, 0, 0, 0, 0, -487753955480, 0, 0, 0, -614690838590, 0, 0, 0, 404694903398, 0, 0, 0, 0, 0, -135294059640, 0, 536293922118, 0, 513384538092, 0, -180973870536, 0, 0, 0, 0, 0, -938033766046, 0, 0, 0, -110542855004, 0, 0, 0, 24729625762, 0, 0, 0, 0, 0, -552496003040, 0, -1629393451030, 0, 565656758676, 0, 418762428400, 0, 0, 0, 0, 0, 669351338252, 0, 0, 0, 759348945980, 0, 0, 0, 1560880366004, 0, 0, 0, 0, 0, 1970249884972, 0, 376816373272, 0, 74184337820, 0, -3146586831690, 0, 0, 0, 0, 0, 1430547537420, 0, 0, 0, -279265557464, 0, 0, 0, 493006711616, 0, 0, 0, 0, 0, -1550405674228, 0, -2516082716540, 0, -2481317203082, 0, 38229572894, 0, 0, 0, 0, 0, 4331946959236, 0, 0, 0, 69596855248, 0, 0, 0, 2052422726150, 0, 0, 0, 0, 0, 952760103420, 0, 1489067436458, 0, 3889750222614, 0, -5275644948996, 0, 0, 0, 0, 0, -6192443470368, 0, 0, 0, -4779416971020, 0, 0, 0, 2442254643382, 0, 0, 0, 0, 0, 1056168693104, 0, 1308436829520, 0, -3500624812864, 0, 5014640802588, 0, 0, 0, 0, 0, 5544530371900, 0, 0, 0, 455488811022, 0, 0, 0, -5810809276824, 0, 0, 0, 0, 0, 2466458487350, 0, 3404806010392, 0, 4810493519056, 0, -3437304119858, 0, 0, 0, 0, 0, -688470718476, 0, 0, 0, -3206917439270, 0, 0, 0, -2589258280260, 0, 0, 0, 0, 0, 1331917432136, 0, -13214514299444, 0, -3225597736206, 0, 5360315808792, 0, 0, 0, 0, 0, -919146493016, 0, 0, 0, 3280210265136, 0, 0, 0, -4194406562270, 0, 0, 0, 0, 0, 7750379767996, 0, 8713125960790, 0, -2159006790890, 0, 3129120166804, 0, 0, 0, 0, 0, -4086182540794, 0, 0, 0, 9375845033620, 0, 0, 0, 10376508196270, 0, 0, 0, 0, 0, -8693872068458, 0, 10914009524338, 0, 682578787256, 0, -7481251045760, 0, 0, 0, 0, 0, -7446589236076, 0, 0, 0, -5391269342820, 0, 0, 0, 10221686458232, 0, 0, 0, 0, 0, -16643952518178, 0, -3077328978104, 0, -687632451052, 0, 5608340916438, 0, 0, 0, 0, 0, 2586910672628, 0, 0, 0, -408277601426, 0, 0, 0, -30402196779120, 0, 0, 0, 0, 0, -11594854531244, 0, -12977292672524, 0, 23183399183252, 0, 14125348940608, 0, 0, 0, 0, 0, 8689663016350, 0, 0, 0, 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45618780146624, 0, 0, 0, -34339192614548, 0, 0, 0, -43150174257416, 0, 0, 0, 0, 0, -25924049337792, 0, -17301927314556, 0, -74066395240640, 0, 14413378792250, 0, 0, 0, 0, 0, 70460481738484, 0, 0, 0, -3787326683748, 0, 0, 0, -46270653445300, 0, 0, 0, 0, 0, -38230136186948, 0, -132706002981520, 0, 68503557759464, 0, 34033855234488, 0, 0, 0, 0, 0, 46366142194776, 0, 0, 0, -43652870210488, 0, 0, 0, 25640741980744, 0, 0, 0, 0, 0, 95720009304504, 0, 73205942737040, 0, 23123905159848, 0, -130625048841552, 0, 0, 0, 0, 0, -158656706451240, 0, 0, 0, 53568490059216, 0, 0, 0, 167760223797194, 0, 0, 0, 0, 0, -109413452883958, 0, 48987369372106, 0, 26415263532020, 0, 65386193641032, 0, 0, 0, 0, 0, 68399675656316, 0, 0, 0, -42400730830184, 0, 0, 0, 2694280194420, 0, 0, 0, 0, 0, -17444911688770, 0, 69381081933652, 0, -52230471895640, 0, -123674648436472, 0, 0, 0, 0, 0, 44636514058888, 0, 0, 0, -8148833378634, 0, 0, 0, 40342745658552, 0, 0, 0, 0, 0, 43259457799076, 0, -358068948368592, 0, -16254116959224, 0, 24057891439538, 0, 0, 0, 0, 0, 160153127065066, 0, 0, 0, -59624095430996, 0, 0, 0, -155878709057394, 0, 0, 0, 0, 0, 150040911058900, 0, 77154019113896, 0, 22180521306488, 0, -153285898619644, 0, 0, 0, 0, 0, -288211556240106, 0, 0, 0, 104011634908728, 0, 0, 0, 205638295969472, 0, 0, 0, 0, 0, 45700314643954, 0, 88943438626122, 0, 116864692577468, 0, 307715110490196, 0, 0, 0, 0, 0, 186029213664500, 0, 0, 0], 'weight': 10, '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], [-1.2746185595770088, 0.0], [0.0, 0.0], [0.0, -0.6243170351741515], [0.0, 0.0], [0.0, 1.9565979347112332], [0.0, 0.0], [0.6246524724181687, 0.0], [0.0, 0.0], [0.0, 0.4189341743263003], [0.0, 0.0], [0.6384974452971397, -0.7696239421620316], [0.0, 0.0], [0.0, 0.7957660800930657], [0.0, 0.0], [0.5299575095737787, 0.0], [0.0, 0.0], [0.0, -0.6243712916781442], [0.0, 0.0], [0.0, -2.4939160412129824], [0.0, 0.0], [-0.9168303867391091, 0.0], [0.0, 0.0], [0.6102282395913573, 0.0], [0.0, 0.0], [0.4784249249471454, 0.0], [0.0, 0.0], [1.0972940403014153, 0.0], [0.0, 0.0], [0.0, 0.6150349370276638], [0.0, 0.0], [0.0, -0.5339812738373724], [0.0, 0.0], [1.2215374216267851, 0.0], [0.0, 0.0], [0.0, -0.1119089707291967], [0.0, 0.0], [-0.8138406940182402, 0.9809769605745478], [0.0, 0.0], [0.0, 0.40943566491334704], [0.0, 0.0], [0.4992743693245579, 0.0], [0.0, 0.0], [0.0, -0.3899811795943145], [0.0, 0.0], [0.0, 0.028220923796383156], [0.0, 0.0], [-2.828275478116263, 0.0], [0.0, 0.0], [-0.6754936774899486, 0.0], [0.0, 0.0], [-1.68613674684873, 0.0], [0.0, 0.0], [0.2615477416485269, 0.0], [0.0, 0.0], [0.0, 0.7958352364400326], [0.0, 0.0], [0.0, 1.1337219151760942], [0.0, 0.0], [-0.015406719136075652, 0.0], [0.0, 0.0], [0.0, 1.2221937374456544], [0.0, 0.0], [-0.48048933776964214, -0.39862483201418025], [0.0, 0.0], [0.0, 1.3287813660338785], [0.0, 0.0], [1.168609026921835, 0.0], [0.0, 0.0], [0.0, 0.2795727576634032], [0.0, 0.0], [0.0, 0.1635690703540403], [0.0, 0.0], [-0.7778082397611497, 0.0], [0.0, 0.0], [-0.8196857402667949, 0.0], [0.0, 0.0], [-0.06357439543019291, 0.0], [0.0, 0.0], [-1.2344617611200377, 0.0], [0.0, 0.0], [0.0, -1.431926634156777], [0.0, 0.0], [0.0, -0.3308615011453785], [0.0, 0.0], [-1.3986313490814262, 0.0], [0.0, 0.0], [0.0, 0.11487834237148126], [0.0, 0.0], [1.5058446157385486, 1.2492827827867823], [0.0, 0.0], [0.0, -0.783934945523737], [0.0, 0.0], [-0.38980563366835436, 0.0], [0.0, 0.0], [0.0, 1.9104506021470453], [0.0, 0.0], [0.0, 0.26168826777338755], [0.0, 0.0], [0.9243021962093927, 0.0], [0.0, 0.0], [-0.4701847438164749, 0.0], [0.0, 0.0], [-1.556994268823346, 0.0], [0.0, 0.0], [-0.5384321270968425, 0.0], [0.0, 0.0], [0.0, 1.4168620094066835], [0.0, 0.0], [0.0, 0.14264125107459433], [0.0, 0.0], [-1.8019963235106178, 0.0], [0.0, 0.0], [0.0, 0.5723928288065312], [0.0, 0.0], [0.3988390078375427, -0.48074749830373065], [0.0, 0.0], [0.0, 1.036913768716764], [0.0, 0.0], [0.824494157581541, 0.0], [0.0, 0.0], [0.0, -0.5218742974513052], [0.0, 0.0], [0.0, -1.0052929204953693], [0.0, 0.0], [0.5845344140433145, 0.0], [0.0, 0.0], [-0.6363843774621875, 0.0], [0.0, 0.0], [-1.9024819063312854, 0.0], [0.0, 0.0], [1.221643579790442, 0.0], [0.0, 0.0], [0.0, -0.2986888306964178], [0.0, 0.0], [0.0, -1.2594953776787736], [0.0, 0.0], [0.6994140336727721, 0.0], [0.0, 0.0], [0.0, -0.03597091323927843], [0.0, 0.0], [0.322421770751403, 0.26748840005500935], [0.0, 0.0], [0.0, -0.6850593619552454], 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-0.16367005452196012, -0.4363823632026203, 0.09815522844853815, -0.3370088589703114, -0.46506307161265786, -0.33721218049543533, 0.10363049500529009, 0.11227661012544293, -0.3048268653695517, -0.39906294987767993], 'char_orbit_index': 6, 'conrey_index': 25, 'dual_conrey_index': 25, 'dual_embedding_index': 8, 'dual_embedding_m': 8, 'embedding_index': 7, 'embedding_m': 7, 'hecke_orbit': 1, 'hecke_orbit_code': 343765155944, 'label': '104.10.f.a.25.7', 'level': 104, 'weight': 10}
• 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': 10400, 'analytic_conductor': 53.5637269610428, 'char_conductor': 13, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [104, 2, [79, 53, 41], [2, 2, 1]], 'conrey_index': 25, 'cusp_dim': 122, 'dim': 32, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_orbit_code': 343765155944, 'hecke_orbit_dims': [32], 'label': '104.10.f', 'level': 104, '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, 13], 'level_radical': 26, 'mf_dim': 130, 'mf_new_dim': 32, 'num_forms': 1, 'prim_orbit_index': 2, 'relative_dim': 32, 'sturm_bound': 140, 'trace_bound': 0, 'trace_display': [0, -162, 0, 0], 'traces': [32, 0, -162, 0, 0, 0, 0, 0, 223074, 0, 0, 0, 66270, 0, 0, 0, -487902, 0, 0, 0, 0, 0, 3171556, 0, -13526722, 0, -3694974, 0, 8833508, 0, 0, 0, 0, 0, -8281126, 0, 0, 0, -12056860, 0, 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• 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: 3753767
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 25, 'source_dim': 32, 'source_embedding_index': 7, 'source_hecke_orbit_code': 343765155944, 'source_is_minimal': True, 'source_label': '104.10.f.a.25.7', 'source_level': 104, 'target_conrey_index': 25, 'target_dim': 32, 'target_embedding_index': 7, 'target_hecke_orbit_code': 343765155944, 'target_is_minimal': True, 'target_label': '104.10.f.a.25.7', 'target_level': 104, 'twist_class_label': '104.10.f.a.25.7', 'twist_class_level': 104, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 3753768
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 25, 'source_dim': 32, 'source_embedding_index': 7, 'source_hecke_orbit_code': 343765155944, 'source_is_minimal': True, 'source_label': '104.10.f.a.25.7', 'source_level': 104, 'target_conrey_index': 129, 'target_dim': 32, 'target_embedding_index': 26, 'target_hecke_orbit_code': 13511142647267536, 'target_is_minimal': False, 'target_label': '208.10.f.d.129.26', 'target_level': 208, 'twist_class_label': '104.10.f.a.25.7', 'twist_class_level': 104, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 3753769
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 25, 'source_dim': 32, 'source_embedding_index': 7, 'source_hecke_orbit_code': 343765155944, 'source_is_minimal': True, 'source_label': '104.10.f.a.25.7', 'source_level': 104, 'target_conrey_index': 25, 'target_dim': 32, 'target_embedding_index': 8, 'target_hecke_orbit_code': 343765155944, 'target_is_minimal': True, 'target_label': '104.10.f.a.25.8', 'target_level': 104, 'twist_class_label': '104.10.f.a.25.7', 'twist_class_level': 104, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 10}
  • id: 3753770
    {'conductor': 52, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 25, 'source_dim': 32, 'source_embedding_index': 7, 'source_hecke_orbit_code': 343765155944, 'source_is_minimal': True, 'source_label': '104.10.f.a.25.7', 'source_level': 104, 'target_conrey_index': 129, 'target_dim': 32, 'target_embedding_index': 25, 'target_hecke_orbit_code': 13511142647267536, 'target_is_minimal': False, 'target_label': '208.10.f.d.129.25', 'target_level': 208, 'twist_class_label': '104.10.f.a.25.7', 'twist_class_level': 104, 'twisting_char_label': '52.51', 'twisting_conrey_index': 51, 'weight': 10}
• hecke_orbit_code 343765155944 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': 6, 'hecke_orbit': 1, 'label': '104.10.f.a', 'level': 104, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 8574954
    {'hecke_orbit_code': 343765155944, 'n': 1, 'trace_an': 32}
  • id: 8574955
    {'hecke_orbit_code': 343765155944, 'n': 2, 'trace_an': 0}
  • id: 8574956
    {'hecke_orbit_code': 343765155944, 'n': 3, 'trace_an': -162}
  • id: 8574957
    {'hecke_orbit_code': 343765155944, 'n': 4, 'trace_an': 0}
  • id: 8574958
    {'hecke_orbit_code': 343765155944, 'n': 5, 'trace_an': 0}
  • id: 8574959
    {'hecke_orbit_code': 343765155944, 'n': 6, 'trace_an': 0}
  • id: 8574960
    {'hecke_orbit_code': 343765155944, 'n': 7, 'trace_an': 0}
  • id: 8574961
    {'hecke_orbit_code': 343765155944, 'n': 8, 'trace_an': 0}
  • id: 8574962
    {'hecke_orbit_code': 343765155944, 'n': 9, 'trace_an': 223074}
  • id: 8574963
    {'hecke_orbit_code': 343765155944, 'n': 10, 'trace_an': 0}
  • id: 8574964
    {'hecke_orbit_code': 343765155944, 'n': 11, 'trace_an': 0}
  • id: 8574965
    {'hecke_orbit_code': 343765155944, 'n': 12, 'trace_an': 0}
  • id: 8574966
    {'hecke_orbit_code': 343765155944, 'n': 13, 'trace_an': 66270}
  • id: 8574967
    {'hecke_orbit_code': 343765155944, 'n': 14, 'trace_an': 0}
  • id: 8574968
    {'hecke_orbit_code': 343765155944, 'n': 15, 'trace_an': 0}
  • id: 8574969
    {'hecke_orbit_code': 343765155944, 'n': 16, 'trace_an': 0}
  • id: 8574970
    {'hecke_orbit_code': 343765155944, 'n': 17, 'trace_an': -487902}
  • id: 8574971
    {'hecke_orbit_code': 343765155944, 'n': 18, 'trace_an': 0}
  • id: 8574972
    {'hecke_orbit_code': 343765155944, 'n': 19, 'trace_an': 0}
  • id: 8574973
    {'hecke_orbit_code': 343765155944, 'n': 20, 'trace_an': 0}
  • id: 8574974
    {'hecke_orbit_code': 343765155944, 'n': 21, 'trace_an': 0}
  • id: 8574975
    {'hecke_orbit_code': 343765155944, 'n': 22, 'trace_an': 0}
  • id: 8574976
    {'hecke_orbit_code': 343765155944, 'n': 23, 'trace_an': 3171556}
  • id: 8574977
    {'hecke_orbit_code': 343765155944, 'n': 24, 'trace_an': 0}
  • id: 8574978
    {'hecke_orbit_code': 343765155944, 'n': 25, 'trace_an': -13526722}
  • id: 8574979
    {'hecke_orbit_code': 343765155944, 'n': 26, 'trace_an': 0}
  • id: 8574980
    {'hecke_orbit_code': 343765155944, 'n': 27, 'trace_an': -3694974}
  • id: 8574981
    {'hecke_orbit_code': 343765155944, 'n': 28, 'trace_an': 0}
  • id: 8574982
    {'hecke_orbit_code': 343765155944, 'n': 29, 'trace_an': 8833508}
  • id: 8574983
    {'hecke_orbit_code': 343765155944, 'n': 30, 'trace_an': 0}
  • id: 8574984
    {'hecke_orbit_code': 343765155944, 'n': 31, 'trace_an': 0}
  • id: 8574985
    {'hecke_orbit_code': 343765155944, 'n': 32, 'trace_an': 0}
  • id: 8574986
    {'hecke_orbit_code': 343765155944, 'n': 33, 'trace_an': 0}
  • id: 8574987
    {'hecke_orbit_code': 343765155944, 'n': 34, 'trace_an': 0}
  • id: 8574988
    {'hecke_orbit_code': 343765155944, 'n': 35, 'trace_an': -8281126}
  • id: 8574989
    {'hecke_orbit_code': 343765155944, 'n': 36, 'trace_an': 0}
  • id: 8574990
    {'hecke_orbit_code': 343765155944, 'n': 37, 'trace_an': 0}
  • id: 8574991
    {'hecke_orbit_code': 343765155944, 'n': 38, 'trace_an': 0}
  • id: 8574992
    {'hecke_orbit_code': 343765155944, 'n': 39, 'trace_an': -12056860}
  • id: 8574993
    {'hecke_orbit_code': 343765155944, 'n': 40, 'trace_an': 0}
  • id: 8574994
    {'hecke_orbit_code': 343765155944, 'n': 41, 'trace_an': 0}
  • id: 8574995
    {'hecke_orbit_code': 343765155944, 'n': 42, 'trace_an': 0}
  • id: 8574996
    {'hecke_orbit_code': 343765155944, 'n': 43, 'trace_an': 89959038}
  • id: 8574997
    {'hecke_orbit_code': 343765155944, 'n': 44, 'trace_an': 0}
  • id: 8574998
    {'hecke_orbit_code': 343765155944, 'n': 45, 'trace_an': 0}
  • id: 8574999
    {'hecke_orbit_code': 343765155944, 'n': 46, 'trace_an': 0}
  • id: 8575000
    {'hecke_orbit_code': 343765155944, 'n': 47, 'trace_an': 0}
  • id: 8575001
    {'hecke_orbit_code': 343765155944, 'n': 48, 'trace_an': 0}
  • id: 8575002
    {'hecke_orbit_code': 343765155944, 'n': 49, 'trace_an': -172344874}
  • id: 8575003
    {'hecke_orbit_code': 343765155944, 'n': 50, 'trace_an': 0}
  • id: 8575004
    {'hecke_orbit_code': 343765155944, 'n': 51, 'trace_an': 51206562}
  • id: 8575005
    {'hecke_orbit_code': 343765155944, 'n': 52, 'trace_an': 0}
  • id: 8575006
    {'hecke_orbit_code': 343765155944, 'n': 53, 'trace_an': 139521112}
  • id: 8575007
    {'hecke_orbit_code': 343765155944, 'n': 54, 'trace_an': 0}
  • id: 8575008
    {'hecke_orbit_code': 343765155944, 'n': 55, 'trace_an': -84550176}
  • id: 8575009
    {'hecke_orbit_code': 343765155944, 'n': 56, 'trace_an': 0}
  • id: 8575010
    {'hecke_orbit_code': 343765155944, 'n': 57, 'trace_an': 0}
  • id: 8575011
    {'hecke_orbit_code': 343765155944, 'n': 58, 'trace_an': 0}
  • id: 8575012
    {'hecke_orbit_code': 343765155944, 'n': 59, 'trace_an': 0}
  • id: 8575013
    {'hecke_orbit_code': 343765155944, 'n': 60, 'trace_an': 0}
  • id: 8575014
    {'hecke_orbit_code': 343765155944, 'n': 61, 'trace_an': 372036836}
  • id: 8575015
    {'hecke_orbit_code': 343765155944, 'n': 62, 'trace_an': 0}
  • id: 8575016
    {'hecke_orbit_code': 343765155944, 'n': 63, 'trace_an': 0}
  • id: 8575017
    {'hecke_orbit_code': 343765155944, 'n': 64, 'trace_an': 0}
  • id: 8575018
    {'hecke_orbit_code': 343765155944, 'n': 65, 'trace_an': 241471810}
  • id: 8575019
    {'hecke_orbit_code': 343765155944, 'n': 66, 'trace_an': 0}
  • id: 8575020
    {'hecke_orbit_code': 343765155944, 'n': 67, 'trace_an': 0}
  • id: 8575021
    {'hecke_orbit_code': 343765155944, 'n': 68, 'trace_an': 0}
  • id: 8575022
    {'hecke_orbit_code': 343765155944, 'n': 69, 'trace_an': -486052516}
  • id: 8575023
    {'hecke_orbit_code': 343765155944, 'n': 70, 'trace_an': 0}
  • id: 8575024
    {'hecke_orbit_code': 343765155944, 'n': 71, 'trace_an': 0}
  • id: 8575025
    {'hecke_orbit_code': 343765155944, 'n': 72, 'trace_an': 0}
  • id: 8575026
    {'hecke_orbit_code': 343765155944, 'n': 73, 'trace_an': 0}
  • id: 8575027
    {'hecke_orbit_code': 343765155944, 'n': 74, 'trace_an': 0}
  • id: 8575028
    {'hecke_orbit_code': 343765155944, 'n': 75, 'trace_an': -604473728}
  • id: 8575029
    {'hecke_orbit_code': 343765155944, 'n': 76, 'trace_an': 0}
  • id: 8575030
    {'hecke_orbit_code': 343765155944, 'n': 77, 'trace_an': -1666197144}
  • id: 8575031
    {'hecke_orbit_code': 343765155944, 'n': 78, 'trace_an': 0}
  • id: 8575032
    {'hecke_orbit_code': 343765155944, 'n': 79, 'trace_an': 1165982916}
  • id: 8575033
    {'hecke_orbit_code': 343765155944, 'n': 80, 'trace_an': 0}
  • id: 8575034
    {'hecke_orbit_code': 343765155944, 'n': 81, 'trace_an': 859636544}
  • id: 8575035
    {'hecke_orbit_code': 343765155944, 'n': 82, 'trace_an': 0}
  • id: 8575036
    {'hecke_orbit_code': 343765155944, 'n': 83, 'trace_an': 0}
  • id: 8575037
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