Newform data - 48.12.a.f

Formats: - HTML - YAML - JSON - 2024-04-25T08:20:16.792124

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 6912, 'analytic_conductor': 36.880472666860264, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -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': [48, 1, [31, 37, 17], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [5370, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22517998338179120, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '48.12.a.f', 'level': 48, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '3.12.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+3^{5}q^{3}-5370q^{5}+27760q^{7}+3^{10}q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '11.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '48.12.a', 'trace_display': [0, 243, -5370, 27760], 'trace_hash': 292529548846418997, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.027', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.974', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.068', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.907', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.191', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.720', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 0, 243, 0, -5370, 0, 27760, 0, 59049, 0, -637836, 0, 766214, 0, -1304910, 0, 3084354, 0, 19511404, 0, 6745680, 0, -15312360, 0, -19991225, 0, 14348907, 0, 10751262, 0, 50937400, 0, -154994148, 0, -149071200, 0, 664740830, 0, 186190002, 0, 898833450, 0, 957947188, 0, -317093130, 0, 1555741344, 0, -1206709143, 0, 749498022, 0, 3792417030, 0, 3425179320, 0, 4741271172, 0, -555306924, 0, 4950420998, 0, 1639200240, 0, -4114569180, 0, -5292399284, 0, -3720903480, 0, 14831086248, 0, 13971005210, 0, -4857867675, 0, -17706327360, 0, -3720542360, 0, 3486784401, 0, -8768454036, 0, -16562980980, 0, 2612556666, 0, -25472769174, 0, 21270100640, 0, 12377788200, 0, -104776239480, 0, -39092494846, 0, -37663577964, 0, 9310781526, 0, -48575052512, 0, -36224301600, 0, -225595713276, 0, -69451179514, 0, 161532021690, 0, -359664575694, 0, 82227373200, 0, 45244170486, 0, 85621667040, 0, 121523092285, 0, 218416528350, 0, 369559909500, 0, -250273055864, 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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

  
  {'an': [[1], [0], [243], [0], [-5370], [0], [27760], [0], [59049], [0], [-637836], [0], [766214], [0], [-1304910], [0], [3084354], [0], [19511404], [0], [6745680], [0], [-15312360], [0], [-19991225], [0], [14348907], [0], [10751262], [0], [50937400], [0], [-154994148], [0], [-149071200], [0], [664740830], [0], [186190002], [0], [898833450], [0], [957947188], [0], [-317093130], [0], [1555741344], [0], [-1206709143], [0], [749498022], [0], [3792417030], [0], [3425179320], [0], [4741271172], [0], [-555306924], [0], [4950420998], [0], [1639200240], [0], [-4114569180], [0], [-5292399284], [0], [-3720903480], [0], [14831086248], [0], [13971005210], [0], [-4857867675], [0], [-17706327360], [0], [-3720542360], [0], [3486784401], [0], [-8768454036], [0], [-16562980980], [0], [2612556666], [0], [-25472769174], [0], [21270100640], [0], [12377788200], [0], [-104776239480], [0], [-39092494846], [0], [-37663577964], [0]], 'ap': [[0], [243], [-5370], [27760], [-637836], [766214], [3084354], [19511404], [-15312360], [10751262], [50937400], [664740830], [898833450], [957947188], [1555741344], [3792417030], [-555306924], [4950420998], [-5292399284], [14831086248], [13971005210], [-3720542360], [-8768454036], [-25472769174], [-39092494846], [9310781526], [-48575052512], [-225595713276], [-69451179514], [-359664575694], [-250273055864], [97891780812], [-155014706262], [1126265370436], [-1384580812362], [698601450208], [2131269853958], [163564486972], [8809425240], [-730851575394], [-3923714421540], [2279308973150], [-3387088726656], [-4929207776254], [6357850272342], [3785535410272], [-179493837380], [-2225684379704], [415847834940], [18124772488334], [-18764059878], [17625242631984], [-890116982734], [24228041356548], [7804917351426], [-16595574775368], [28523590257006], [-23379994087976], [-30364120269058], [15974859435594], [-28704507156044], [48175396168278], [-25735029040676], [-34604265524376], [12606588910058], [-81824296913634], [34011469184548], [-59943948292558], 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[510281865590253146], [120453934861278], [-15192882075744632], [-890730891203861316], [677529054481947652], [-593243114021244286], [-1520060577011916396], [1589562447562958246], [69971709179496984], [1860853308387437342], [-134853070780172112], [-1426832561006316954], [-720171956971750350], [432876052703726812], [221064294312858744], [-2761918686836314054], [-2812980248190936132], [1829226412520424528], [-1550889483928340350], [-1964252535605949678], [-1457452719826739780], [-3080081533851666550], [-2441687998652935074], [162290519201227768], [-1124564690107172118], [-2941966959933316174], [1228749955233837820], [1591134529495886212], [1814500159041446112], [4239858752715888486], [3762437926461675782], [-2425319243974409586], [3234177293591528680], [-140151952575007764], [-238936035732896828], [-32764594960319868], [-1294049121957741562], [-1251988642476310974], [1153428863684137658], [-1953959796094914344], [-5079435715408269298], [1174119799525195290], [3471572618165179254], [653932658656941088], [3287974529946603966], [-2067288790032226980], [1580714990270326478], [5889941608844545348], [3258492283761670560], [2441047836708018342], [-3585646333015498916], [-6631429266836880838], [-4059348713022707250], [-4613335128978493064], [-4988294911703665234], [2273623873498051146], [6049895375043677184], [-3283436125656096444], [-3360155163277965918], [-3714403848276287256], [-2203788239432237506], [5760823127043089274], [-2927511105787413072], [5202701106207670596], [-4180611401373403316], [3132797379588730490], [-6683114760508033266], [-5113200035210844656], [3228162282877252106], [-1323844645625851524], [-9359349974945579756], [6460049525503315920], [2710417144331600646], [8110065773214896896], [3630956106089678870], [-8153377180322153556], [6304326448519379232], [-4948624225973923486], [-3924698535405340542], [-4465293981413555254], [-7907445325225780338], [8155850330320705002], [-10682375842877588192], [-3919789660791249246], [4588826428695804508], [8502787672725203928], [939395724091248136], [9362180583347524766], [-717452170483577132], [-3671876128256864976], [5757292136871561794], [-534375151926608154], [-2258678401923775932], [-4116845892096177620], [-9871593505575901368], [-1943940422796578902], [-499507381328478680], [3848447736693211434], [15140856358861714900], [-1827016601541499626], [-5630777033064670522], [-12644755342370430606], [-1811154401922382280], [-3620513072172553350], [3434452585385782806], [6252381255078271600], [4399176367863243014], [-14857306465435362174], [-5424066481289070068], [-4373078750563583364], [-4217610023906544526], [17464418679207309846], [-6092328969411307740], [3992189947850532604], [6715645306316154746], [-8537397336078716466], [-8506088532993142656], [10003457796462437584], [352731723000101730], [-3807561697580393544], [-9605809694571481362], [-1155880902462658018], [-15408566150204655312], [17410405260649145316], [-16802974031724281446], [-12082689563400779154], [13064328531515147340], [14414036895378228330], [-5290193597767838876], [-567534879035334024]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 22517998338179120, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '48.12.a.f', 'level': 48, 'maxp': 2999, 'weight': 12}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[2, -1], [3, -1]], 3, 3], [[[2, 1], [3, -1]], 2, 2], [[[2, -1], [3, 1]], 3, 3], [[[2, 1], [3, 1]], 3, 2]], 'ALdims': [3, 2, 3, 3], 'Nk2': 6912, 'analytic_conductor': 36.880472666860264, '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': [48, 1, [31, 37, 17], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 82, 'dim': 11, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 201326640, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 2], 'label': '48.12.a', 'level': 48, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 94, 'mf_new_dim': 11, 'num_forms': 10, 'plus_dim': 6, 'prim_orbit_index': 1, 'relative_dim': 11, 'sturm_bound': 96, 'trace_bound': 5, 'trace_display': [0, -243, 2642, 84960], 'traces': [11, 0, -243, 0, 2642, 0, 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30792545221139409172, 0, -2979085825176302140, 0, 41708427865602082272, 0, 54793612343889926862, 0, -423924687440352324, 0, 13034466551079693864, 0, -38265123552578391744, 0, 18572177323704782876, 0, -15646428726239028996, 0, 25671760950397352416, 0, 87952477342310723384, 0, -15473483623016481312, 0, 15812700425389191264, 0, 31424605448958078994, 0, 26757692591466996198, 0, -82133767089480547668, 0, -35447292957842202384, 0, -1942069698686640150, 0, -43640636898170947544, 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: 38950
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '48.12.a.f', 'source_level': 48, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '3.12.a.a', 'target_level': 3, 'twist_class_label': '3.12.a.a', 'twist_class_level': 3, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 12}
  • id: 38951
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '48.12.a.f', 'source_level': 48, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '9.12.a.a', 'target_level': 9, 'twist_class_label': '3.12.a.a', 'twist_class_level': 3, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 12}
  • id: 38952
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '48.12.a.f', 'source_level': 48, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '48.12.a.f', 'target_level': 48, 'twist_class_label': '3.12.a.a', 'twist_class_level': 3, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 12}
  • id: 38953
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '48.12.a.f', 'source_level': 48, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '75.12.a.a', 'target_level': 75, 'twist_class_label': '3.12.a.a', 'twist_class_level': 3, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 12}
  • id: 38954
    {'conductor': 20, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '48.12.a.f', 'source_level': 48, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '75.12.b.a', 'target_level': 75, 'twist_class_label': '3.12.a.a', 'twist_class_level': 3, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 12}
  • id: 38955
    {'conductor': 36, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '48.12.a.f', 'source_level': 48, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '81.12.c.a', 'target_level': 81, 'twist_class_label': '3.12.a.a', 'twist_class_level': 3, 'twisting_char_label': '36.f', 'twisting_char_orbit': 6, 'weight': 12}
  • id: 38956
    {'conductor': 36, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '48.12.a.f', 'source_level': 48, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '81.12.c.e', 'target_level': 81, 'twist_class_label': '3.12.a.a', 'twist_class_level': 3, 'twisting_char_label': '36.h', 'twisting_char_orbit': 8, 'weight': 12}
  • id: 38957
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '48.12.a.f', 'source_level': 48, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '144.12.a.l', 'target_level': 144, 'twist_class_label': '3.12.a.a', 'twist_class_level': 3, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 12}
  • id: 38958
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '48.12.a.f', 'source_level': 48, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '147.12.a.c', 'target_level': 147, 'twist_class_label': '3.12.a.a', 'twist_class_level': 3, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 12}
  • id: 38959
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '48.12.a.f', 'source_level': 48, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '192.12.a.g', 'target_level': 192, 'twist_class_label': '3.12.a.a', 'twist_class_level': 3, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 12}
  • id: 38960
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '48.12.a.f', 'source_level': 48, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '192.12.a.q', 'target_level': 192, 'twist_class_label': '3.12.a.a', 'twist_class_level': 3, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 12}
  • id: 38961
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '48.12.a.f', 'source_level': 48, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '225.12.a.f', 'target_level': 225, 'twist_class_label': '3.12.a.a', 'twist_class_level': 3, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 12}
  • id: 38962
    {'conductor': 60, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 6, 'source_is_minimal': False, 'source_label': '48.12.a.f', 'source_level': 48, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '225.12.b.a', 'target_level': 225, 'twist_class_label': '3.12.a.a', 'twist_class_level': 3, 'twisting_char_label': '60.l', 'twisting_char_orbit': 12, 'weight': 12}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 158900
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 2}
  • id: 158901
    {'charpoly_factorization': [[[-243, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 3}
  • id: 158902
    {'charpoly_factorization': [[[5370, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 5}
  • id: 158903
    {'charpoly_factorization': [[[-27760, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 7}
  • id: 158904
    {'charpoly_factorization': [[[637836, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 11}
  • id: 158905
    {'charpoly_factorization': [[[-766214, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 13}
  • id: 158906
    {'charpoly_factorization': [[[-3084354, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 17}
  • id: 158907
    {'charpoly_factorization': [[[-19511404, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 19}
  • id: 158908
    {'charpoly_factorization': [[[15312360, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 23}
  • id: 158909
    {'charpoly_factorization': [[[-10751262, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 29}
  • id: 158910
    {'charpoly_factorization': [[[-50937400, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 31}
  • id: 158911
    {'charpoly_factorization': [[[-664740830, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 37}
  • id: 158912
    {'charpoly_factorization': [[[-898833450, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 41}
  • id: 158913
    {'charpoly_factorization': [[[-957947188, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 43}
  • id: 158914
    {'charpoly_factorization': [[[-1555741344, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 47}
  • id: 158915
    {'charpoly_factorization': [[[-3792417030, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 53}
  • id: 158916
    {'charpoly_factorization': [[[555306924, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 59}
  • id: 158917
    {'charpoly_factorization': [[[-4950420998, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 61}
  • id: 158918
    {'charpoly_factorization': [[[5292399284, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 67}
  • id: 158919
    {'charpoly_factorization': [[[-14831086248, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 71}
  • id: 158920
    {'charpoly_factorization': [[[-13971005210, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 73}
  • id: 158921
    {'charpoly_factorization': [[[3720542360, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 79}
  • id: 158922
    {'charpoly_factorization': [[[8768454036, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 83}
  • id: 158923
    {'charpoly_factorization': [[[25472769174, 1], 1]], 'hecke_orbit_code': 22517998338179120, 'p': 89}
  • id: 158924
    {'charpoly_factorization': [[[39092494846, 1], 1]], 'hecke_orbit_code': 22517998338179120, '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': 6, 'label': '48.12.a.f', 'level': 48, 'portrait': 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', 'weight': 12}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 170229000
    {'hecke_orbit_code': 22517998338179120, 'n': 1, 'trace_an': 1}
  • id: 170229001
    {'hecke_orbit_code': 22517998338179120, 'n': 2, 'trace_an': 0}
  • id: 170229002
    {'hecke_orbit_code': 22517998338179120, 'n': 3, 'trace_an': 243}
  • id: 170229003
    {'hecke_orbit_code': 22517998338179120, 'n': 4, 'trace_an': 0}
  • id: 170229004
    {'hecke_orbit_code': 22517998338179120, 'n': 5, 'trace_an': -5370}
  • id: 170229005
    {'hecke_orbit_code': 22517998338179120, 'n': 6, 'trace_an': 0}
  • id: 170229006
    {'hecke_orbit_code': 22517998338179120, 'n': 7, 'trace_an': 27760}
  • id: 170229007
    {'hecke_orbit_code': 22517998338179120, 'n': 8, 'trace_an': 0}
  • id: 170229008
    {'hecke_orbit_code': 22517998338179120, 'n': 9, 'trace_an': 59049}
  • id: 170229009
    {'hecke_orbit_code': 22517998338179120, 'n': 10, 'trace_an': 0}
  • id: 170229010
    {'hecke_orbit_code': 22517998338179120, 'n': 11, 'trace_an': -637836}
  • id: 170229011
    {'hecke_orbit_code': 22517998338179120, 'n': 12, 'trace_an': 0}
  • id: 170229012
    {'hecke_orbit_code': 22517998338179120, 'n': 13, 'trace_an': 766214}
  • id: 170229013
    {'hecke_orbit_code': 22517998338179120, 'n': 14, 'trace_an': 0}
  • id: 170229014
    {'hecke_orbit_code': 22517998338179120, 'n': 15, 'trace_an': -1304910}
  • id: 170229015
    {'hecke_orbit_code': 22517998338179120, 'n': 16, 'trace_an': 0}
  • id: 170229016
    {'hecke_orbit_code': 22517998338179120, 'n': 17, 'trace_an': 3084354}
  • id: 170229017
    {'hecke_orbit_code': 22517998338179120, 'n': 18, 'trace_an': 0}
  • id: 170229018
    {'hecke_orbit_code': 22517998338179120, 'n': 19, 'trace_an': 19511404}
  • id: 170229019
    {'hecke_orbit_code': 22517998338179120, 'n': 20, 'trace_an': 0}
  • id: 170229020
    {'hecke_orbit_code': 22517998338179120, 'n': 21, 'trace_an': 6745680}
  • id: 170229021
    {'hecke_orbit_code': 22517998338179120, 'n': 22, 'trace_an': 0}
  • id: 170229022
    {'hecke_orbit_code': 22517998338179120, 'n': 23, 'trace_an': -15312360}
  • id: 170229023
    {'hecke_orbit_code': 22517998338179120, 'n': 24, 'trace_an': 0}
  • id: 170229024
    {'hecke_orbit_code': 22517998338179120, 'n': 25, 'trace_an': -19991225}
  • id: 170229025
    {'hecke_orbit_code': 22517998338179120, 'n': 26, 'trace_an': 0}
  • id: 170229026
    {'hecke_orbit_code': 22517998338179120, 'n': 27, 'trace_an': 14348907}
  • id: 170229027
    {'hecke_orbit_code': 22517998338179120, 'n': 28, 'trace_an': 0}
  • id: 170229028
    {'hecke_orbit_code': 22517998338179120, 'n': 29, 'trace_an': 10751262}
  • id: 170229029
    {'hecke_orbit_code': 22517998338179120, 'n': 30, 'trace_an': 0}
  • id: 170229030
    {'hecke_orbit_code': 22517998338179120, 'n': 31, 'trace_an': 50937400}
  • id: 170229031
    {'hecke_orbit_code': 22517998338179120, 'n': 32, 'trace_an': 0}
  • id: 170229032
    {'hecke_orbit_code': 22517998338179120, 'n': 33, 'trace_an': -154994148}
  • id: 170229033
    {'hecke_orbit_code': 22517998338179120, 'n': 34, 'trace_an': 0}
  • id: 170229034
    {'hecke_orbit_code': 22517998338179120, 'n': 35, 'trace_an': -149071200}
  • id: 170229035
    {'hecke_orbit_code': 22517998338179120, 'n': 36, 'trace_an': 0}
  • id: 170229036
    {'hecke_orbit_code': 22517998338179120, 'n': 37, 'trace_an': 664740830}
  • id: 170229037
    {'hecke_orbit_code': 22517998338179120, 'n': 38, 'trace_an': 0}
  • id: 170229038
    {'hecke_orbit_code': 22517998338179120, 'n': 39, 'trace_an': 186190002}
  • id: 170229039
    {'hecke_orbit_code': 22517998338179120, 'n': 40, 'trace_an': 0}
  • id: 170229040
    {'hecke_orbit_code': 22517998338179120, 'n': 41, 'trace_an': 898833450}
  • id: 170229041
    {'hecke_orbit_code': 22517998338179120, 'n': 42, 'trace_an': 0}
  • id: 170229042
    {'hecke_orbit_code': 22517998338179120, 'n': 43, 'trace_an': 957947188}
  • id: 170229043
    {'hecke_orbit_code': 22517998338179120, 'n': 44, 'trace_an': 0}
  • id: 170229044
    {'hecke_orbit_code': 22517998338179120, 'n': 45, 'trace_an': -317093130}
  • id: 170229045
    {'hecke_orbit_code': 22517998338179120, 'n': 46, 'trace_an': 0}
  • id: 170229046
    {'hecke_orbit_code': 22517998338179120, 'n': 47, 'trace_an': 1555741344}
  • id: 170229047
    {'hecke_orbit_code': 22517998338179120, 'n': 48, 'trace_an': 0}
  • id: 170229048
    {'hecke_orbit_code': 22517998338179120, 'n': 49, 'trace_an': -1206709143}
  • id: 170229049
    {'hecke_orbit_code': 22517998338179120, 'n': 50, 'trace_an': 0}
  • id: 170229050
    {'hecke_orbit_code': 22517998338179120, 'n': 51, 'trace_an': 749498022}
  • id: 170229051
    {'hecke_orbit_code': 22517998338179120, 'n': 52, 'trace_an': 0}
  • id: 170229052
    {'hecke_orbit_code': 22517998338179120, 'n': 53, 'trace_an': 3792417030}
  • id: 170229053
    {'hecke_orbit_code': 22517998338179120, 'n': 54, 'trace_an': 0}
  • id: 170229054
    {'hecke_orbit_code': 22517998338179120, 'n': 55, 'trace_an': 3425179320}
  • id: 170229055
    {'hecke_orbit_code': 22517998338179120, 'n': 56, 'trace_an': 0}
  • id: 170229056
    {'hecke_orbit_code': 22517998338179120, 'n': 57, 'trace_an': 4741271172}
  • id: 170229057
    {'hecke_orbit_code': 22517998338179120, 'n': 58, 'trace_an': 0}
  • id: 170229058
    {'hecke_orbit_code': 22517998338179120, 'n': 59, 'trace_an': -555306924}
  • id: 170229059
    {'hecke_orbit_code': 22517998338179120, 'n': 60, 'trace_an': 0}
  • id: 170229060
    {'hecke_orbit_code': 22517998338179120, 'n': 61, 'trace_an': 4950420998}
  • id: 170229061
    {'hecke_orbit_code': 22517998338179120, 'n': 62, 'trace_an': 0}
  • id: 170229062
    {'hecke_orbit_code': 22517998338179120, 'n': 63, 'trace_an': 1639200240}
  • id: 170229063
    {'hecke_orbit_code': 22517998338179120, 'n': 64, 'trace_an': 0}
  • id: 170229064
    {'hecke_orbit_code': 22517998338179120, 'n': 65, 'trace_an': -4114569180}
  • id: 170229065
    {'hecke_orbit_code': 22517998338179120, 'n': 66, 'trace_an': 0}
  • id: 170229066
    {'hecke_orbit_code': 22517998338179120, 'n': 67, 'trace_an': -5292399284}
  • id: 170229067
    {'hecke_orbit_code': 22517998338179120, 'n': 68, 'trace_an': 0}
  • id: 170229068
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