Newform data - 3.12.a.a

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• 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': 432, 'analytic_conductor': 2.3050295416787665, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1]], 'atkin_lehner_string': '+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3, 1, [2], [1]], 'cm_discs': [], 'conrey_index': 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': [], 'hecke_orbit': 1, 'hecke_orbit_code': 201326595, '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_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '3.12.a.a', 'level': 3, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3], 'level_radical': 3, 'minimal_twist': '3.12.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+78q^{2}-3^{5}q^{3}+4036q^{4}-5370q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '11.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3.12.a', 'trace_display': [78, -243, -5370, -27760], 'trace_hash': 890658222227714411, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.018', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.977', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.034', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.916', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.115', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.745', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 78, -243, 4036, -5370, -18954, -27760, 155064, 59049, -418860, 637836, -980748, 766214, -2165280, 1304910, 3829264, 3084354, 4605822, -19511404, -21673320, 6745680, 49751208, 15312360, -37680552, -19991225, 59764692, -14348907, -112039360, 10751262, 101782980, -50937400, -18888480, -154994148, 240579612, 149071200, 238321764, 664740830, -1521889512, -186190002, -832693680, 898833450, 526163040, -957947188, 2574306096, -317093130, 1194364080, -1555741344, -930511152, -1206709143, -1559315550, -749498022, 3092439704, 3792417030, -1119214746, -3425179320, -4304576640, 4741271172, 838598436, 555306924, 5266616760, 4950420998, -3973117200, -1639200240, -9315634112, -4114569180, -12089543544, 5292399284, 12448452744, -3720903480, 11627553600, -14831086248, 9156374136, 13971005210, 51849784740, 4857867675, -78748026544, -17706327360, -14522820156, 3720542360, -20563147680, 3486784401, 70109009100, 8768454036, 27225564480, 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'weight': 12, 'weight_parity': 1}
• 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], [78], [-243], [4036], [-5370], [-18954], [-27760], [155064], [59049], [-418860], [637836], [-980748], [766214], [-2165280], [1304910], [3829264], [3084354], [4605822], [-19511404], [-21673320], [6745680], [49751208], [15312360], [-37680552], [-19991225], [59764692], [-14348907], [-112039360], [10751262], [101782980], [-50937400], [-18888480], [-154994148], [240579612], [149071200], [238321764], [664740830], [-1521889512], [-186190002], [-832693680], [898833450], [526163040], [-957947188], [2574306096], [-317093130], [1194364080], [-1555741344], [-930511152], [-1206709143], [-1559315550], [-749498022], [3092439704], [3792417030], [-1119214746], [-3425179320], [-4304576640], [4741271172], [838598436], [555306924], [5266616760], [4950420998], [-3973117200], [-1639200240], [-9315634112], [-4114569180], [-12089543544], [5292399284], [12448452744], [-3720903480], [11627553600], [-14831086248], [9156374136], [13971005210], [51849784740], [4857867675], [-78748026544], [-17706327360], [-14522820156], [3720542360], [-20563147680], [3486784401], [70109009100], [8768454036], [27225564480], [-16562980980], [-74719880664], [-2612556666], [98905401504], [-25472769174], [-24733264140], [-21270100640], [61800684960], [12377788200], [-121347824832], [104776239480], [4589900640], [-39092494846], [-94123313154], [37663577964], [-80684584100]], 'ap': [[78], [-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], [97868505351324], [-142789606547098], [144245920772994], [-124349284943496], [-160109534089768], [-34725822875218], [-146500203674500], [64341851639808], [-39890033609466], [106551979242806], [34144491481698], [53334901088234], [-101287654153404], [-157928472303826], [513171359936640], [-74924767954222], [-368335241090320], [-111247830230916], [-88331413841262], [-9420937722310], [-697133548616898], [-187941271733848], [320006635626996], [-150382370364240], [176546273555504], [-860958181676292], [601209457412516], [1092030351829704], [876371101334814], [-371989239852150], [-973507481712628], [1746062781765590], [174624425985380], [1583649005842494], [-975797917848204], [1924274391870426], [1611320399461196], [-2532503285394046], [-3115075841122404], [-2207230435400238], [3411585709398408], [-1575452477398774], [-505592119502056], [-1983747166907074], [-1930986428345862], [947688701475164], [1005926522765312], [1131443807632530], [-868305558659068], [-1376364875369256], [2552758540391838], [926792107209060], [-1903318977724498], [4929900506581730], [430293314013702], [-3812440532297652], [4037287750902356], [-4712672943685602], [866706096098606], [26266614058368], [-5680181884175392], [-1623115878038218], [3647940323190644], [6760448268703752], [26483336560376], [7373643624794558], [6209832596186874], [-8861954082034942], [-2950474409673642], [13554522166415156], [-15992249482082994], [9458590804847370], [-10799627434960948], [-11041089876780186], [12610352980858976], [-786172343593716], [-5925892982962570], [21020885793462840], [-19837829468018002], [7966388437568826], [-15974892909578980], [-4029257485765728], [9769575093688790], [16258292298256914], [16606117429647572], [-19131414356441544], [-10725166653853684], [-28224866626031568], [18355082826013760], [-11012509124864814], [8363567050915322], [22294170304617630], [-37803832630940892], [4795681030490394], [33741958118885504], [35858687142537900], [-12002334917621406], [-4426868496055080], [-37916708594080408], [57600280458878]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 201326595, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '3.12.a.a', 'level': 3, 'maxp': 997, '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': [1, 0], 'ALdims_eis_new': [0, 0], 'ALdims_eis_old': [1, 1], 'ALdims_old': [1, 1], 'Nk2': 432, 'analytic_conductor': 2.3050295416787665, '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': [3, 1, [2], [1]], 'conrey_index': 1, 'cusp_dim': 3, 'dim': 1, 'eis_dim': 2, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 201326595, 'hecke_orbit_dims': [1], 'label': '3.12.a', 'level': 3, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3], 'level_radical': 3, 'mf_dim': 5, 'mf_new_dim': 1, 'num_forms': 1, 'plus_dim': 1, 'prim_orbit_index': 1, 'relative_dim': 1, 'sturm_bound': 4, 'trace_bound': 0, 'trace_display': [78, -243, -5370, -27760], 'traces': [1, 78, -243, 4036, -5370, -18954, -27760, 155064, 59049, -418860, 637836, -980748, 766214, -2165280, 1304910, 3829264, 3084354, 4605822, -19511404, -21673320, 6745680, 49751208, 15312360, -37680552, -19991225, 59764692, -14348907, -112039360, 10751262, 101782980, -50937400, -18888480, -154994148, 240579612, 149071200, 238321764, 664740830, -1521889512, -186190002, -832693680, 898833450, 526163040, -957947188, 2574306096, -317093130, 1194364080, -1555741344, -930511152, -1206709143, -1559315550, -749498022, 3092439704, 3792417030, -1119214746, -3425179320, -4304576640, 4741271172, 838598436, 555306924, 5266616760, 4950420998, -3973117200, -1639200240, -9315634112, -4114569180, -12089543544, 5292399284, 12448452744, -3720903480, 11627553600, -14831086248, 9156374136, 13971005210, 51849784740, 4857867675, -78748026544, -17706327360, -14522820156, 3720542360, -20563147680, 3486784401, 70109009100, 8768454036, 27225564480, -16562980980, -74719880664, -2612556666, 98905401504, -25472769174, -24733264140, -21270100640, 61800684960, 12377788200, -121347824832, 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• 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: 774
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '3.12.a.a', 'source_level': 3, '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': '1.a', 'twisting_char_orbit': 1, 'weight': 12}
  • id: 775
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '3.12.a.a', 'source_level': 3, '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': '3.b', 'twisting_char_orbit': 2, 'weight': 12}
  • id: 776
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '3.12.a.a', 'source_level': 3, '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': '4.b', 'twisting_char_orbit': 2, 'weight': 12}
  • id: 777
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '3.12.a.a', 'source_level': 3, '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': '5.b', 'twisting_char_orbit': 2, 'weight': 12}
  • id: 778
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '3.12.a.a', 'source_level': 3, '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': '5.c', 'twisting_char_orbit': 3, 'weight': 12}
  • id: 779
    {'conductor': 9, 'degree': 2, 'multiplicity': 2, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '3.12.a.a', 'source_level': 3, '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': '9.c', 'twisting_char_orbit': 3, 'weight': 12}
  • id: 780
    {'conductor': 9, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '3.12.a.a', 'source_level': 3, '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': '9.d', 'twisting_char_orbit': 4, 'weight': 12}
  • id: 781
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '3.12.a.a', 'source_level': 3, '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': '12.b', 'twisting_char_orbit': 2, 'weight': 12}
  • id: 782
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '3.12.a.a', 'source_level': 3, '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': '7.b', 'twisting_char_orbit': 2, 'weight': 12}
  • id: 783
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '3.12.a.a', 'source_level': 3, '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.d', 'twisting_char_orbit': 4, 'weight': 12}
  • id: 784
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '3.12.a.a', 'source_level': 3, '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.b', 'twisting_char_orbit': 2, 'weight': 12}
  • id: 785
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '3.12.a.a', 'source_level': 3, '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': '15.d', 'twisting_char_orbit': 4, 'weight': 12}
  • id: 786
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '3.12.a.a', 'source_level': 3, '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': '15.e', 'twisting_char_orbit': 5, 'weight': 12}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 8850
    {'charpoly_factorization': [[[-78, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 2}
  • id: 8851
    {'charpoly_factorization': [[[243, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 3}
  • id: 8852
    {'charpoly_factorization': [[[5370, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 5}
  • id: 8853
    {'charpoly_factorization': [[[27760, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 7}
  • id: 8854
    {'charpoly_factorization': [[[-637836, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 11}
  • id: 8855
    {'charpoly_factorization': [[[-766214, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 13}
  • id: 8856
    {'charpoly_factorization': [[[-3084354, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 17}
  • id: 8857
    {'charpoly_factorization': [[[19511404, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 19}
  • id: 8858
    {'charpoly_factorization': [[[-15312360, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 23}
  • id: 8859
    {'charpoly_factorization': [[[-10751262, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 29}
  • id: 8860
    {'charpoly_factorization': [[[50937400, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 31}
  • id: 8861
    {'charpoly_factorization': [[[-664740830, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 37}
  • id: 8862
    {'charpoly_factorization': [[[-898833450, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 41}
  • id: 8863
    {'charpoly_factorization': [[[957947188, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 43}
  • id: 8864
    {'charpoly_factorization': [[[1555741344, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 47}
  • id: 8865
    {'charpoly_factorization': [[[-3792417030, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 53}
  • id: 8866
    {'charpoly_factorization': [[[-555306924, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 59}
  • id: 8867
    {'charpoly_factorization': [[[-4950420998, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 61}
  • id: 8868
    {'charpoly_factorization': [[[-5292399284, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 67}
  • id: 8869
    {'charpoly_factorization': [[[14831086248, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 71}
  • id: 8870
    {'charpoly_factorization': [[[-13971005210, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 73}
  • id: 8871
    {'charpoly_factorization': [[[-3720542360, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 79}
  • id: 8872
    {'charpoly_factorization': [[[-8768454036, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 83}
  • id: 8873
    {'charpoly_factorization': [[[25472769174, 1], 1]], 'hecke_orbit_code': 201326595, 'p': 89}
  • id: 8874
    {'charpoly_factorization': [[[39092494846, 1], 1]], 'hecke_orbit_code': 201326595, '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': 1, 'label': '3.12.a.a', 'level': 3, 'portrait': 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', 'weight': 12}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 3769122
    {'hecke_orbit_code': 201326595, 'n': 1, 'trace_an': 1}
  • id: 3769123
    {'hecke_orbit_code': 201326595, 'n': 2, 'trace_an': 78}
  • id: 3769124
    {'hecke_orbit_code': 201326595, 'n': 3, 'trace_an': -243}
  • id: 3769125
    {'hecke_orbit_code': 201326595, 'n': 4, 'trace_an': 4036}
  • id: 3769126
    {'hecke_orbit_code': 201326595, 'n': 5, 'trace_an': -5370}
  • id: 3769127
    {'hecke_orbit_code': 201326595, 'n': 6, 'trace_an': -18954}
  • id: 3769128
    {'hecke_orbit_code': 201326595, 'n': 7, 'trace_an': -27760}
  • id: 3769129
    {'hecke_orbit_code': 201326595, 'n': 8, 'trace_an': 155064}
  • id: 3769130
    {'hecke_orbit_code': 201326595, 'n': 9, 'trace_an': 59049}
  • id: 3769131
    {'hecke_orbit_code': 201326595, 'n': 10, 'trace_an': -418860}
  • id: 3769132
    {'hecke_orbit_code': 201326595, 'n': 11, 'trace_an': 637836}
  • id: 3769133
    {'hecke_orbit_code': 201326595, 'n': 12, 'trace_an': -980748}
  • id: 3769134
    {'hecke_orbit_code': 201326595, 'n': 13, 'trace_an': 766214}
  • id: 3769135
    {'hecke_orbit_code': 201326595, 'n': 14, 'trace_an': -2165280}
  • id: 3769136
    {'hecke_orbit_code': 201326595, 'n': 15, 'trace_an': 1304910}
  • id: 3769137
    {'hecke_orbit_code': 201326595, 'n': 16, 'trace_an': 3829264}
  • id: 3769138
    {'hecke_orbit_code': 201326595, 'n': 17, 'trace_an': 3084354}
  • id: 3769139
    {'hecke_orbit_code': 201326595, 'n': 18, 'trace_an': 4605822}
  • id: 3769140
    {'hecke_orbit_code': 201326595, 'n': 19, 'trace_an': -19511404}
  • id: 3769141
    {'hecke_orbit_code': 201326595, 'n': 20, 'trace_an': -21673320}
  • id: 3769142
    {'hecke_orbit_code': 201326595, 'n': 21, 'trace_an': 6745680}
  • id: 3769143
    {'hecke_orbit_code': 201326595, 'n': 22, 'trace_an': 49751208}
  • id: 3769144
    {'hecke_orbit_code': 201326595, 'n': 23, 'trace_an': 15312360}
  • id: 3769145
    {'hecke_orbit_code': 201326595, 'n': 24, 'trace_an': -37680552}
  • id: 3769146
    {'hecke_orbit_code': 201326595, 'n': 25, 'trace_an': -19991225}
  • id: 3769147
    {'hecke_orbit_code': 201326595, 'n': 26, 'trace_an': 59764692}
  • id: 3769148
    {'hecke_orbit_code': 201326595, 'n': 27, 'trace_an': -14348907}
  • id: 3769149
    {'hecke_orbit_code': 201326595, 'n': 28, 'trace_an': -112039360}
  • id: 3769150
    {'hecke_orbit_code': 201326595, 'n': 29, 'trace_an': 10751262}
  • id: 3769151
    {'hecke_orbit_code': 201326595, 'n': 30, 'trace_an': 101782980}
  • id: 3769152
    {'hecke_orbit_code': 201326595, 'n': 31, 'trace_an': -50937400}
  • id: 3769153
    {'hecke_orbit_code': 201326595, 'n': 32, 'trace_an': -18888480}
  • id: 3769154
    {'hecke_orbit_code': 201326595, 'n': 33, 'trace_an': -154994148}
  • id: 3769155
    {'hecke_orbit_code': 201326595, 'n': 34, 'trace_an': 240579612}
  • id: 3769156
    {'hecke_orbit_code': 201326595, 'n': 35, 'trace_an': 149071200}
  • id: 3769157
    {'hecke_orbit_code': 201326595, 'n': 36, 'trace_an': 238321764}
  • id: 3769158
    {'hecke_orbit_code': 201326595, 'n': 37, 'trace_an': 664740830}
  • id: 3769159
    {'hecke_orbit_code': 201326595, 'n': 38, 'trace_an': -1521889512}
  • id: 3769160
    {'hecke_orbit_code': 201326595, 'n': 39, 'trace_an': -186190002}
  • id: 3769161
    {'hecke_orbit_code': 201326595, 'n': 40, 'trace_an': -832693680}
  • id: 3769162
    {'hecke_orbit_code': 201326595, 'n': 41, 'trace_an': 898833450}
  • id: 3769163
    {'hecke_orbit_code': 201326595, 'n': 42, 'trace_an': 526163040}
  • id: 3769164
    {'hecke_orbit_code': 201326595, 'n': 43, 'trace_an': -957947188}
  • id: 3769165
    {'hecke_orbit_code': 201326595, 'n': 44, 'trace_an': 2574306096}
  • id: 3769166
    {'hecke_orbit_code': 201326595, 'n': 45, 'trace_an': -317093130}
  • id: 3769167
    {'hecke_orbit_code': 201326595, 'n': 46, 'trace_an': 1194364080}
  • id: 3769168
    {'hecke_orbit_code': 201326595, 'n': 47, 'trace_an': -1555741344}
  • id: 3769169
    {'hecke_orbit_code': 201326595, 'n': 48, 'trace_an': -930511152}
  • id: 3769170
    {'hecke_orbit_code': 201326595, 'n': 49, 'trace_an': -1206709143}
  • id: 3769171
    {'hecke_orbit_code': 201326595, 'n': 50, 'trace_an': -1559315550}
  • id: 3769172
    {'hecke_orbit_code': 201326595, 'n': 51, 'trace_an': -749498022}
  • id: 3769173
    {'hecke_orbit_code': 201326595, 'n': 52, 'trace_an': 3092439704}
  • id: 3769174
    {'hecke_orbit_code': 201326595, 'n': 53, 'trace_an': 3792417030}
  • id: 3769175
    {'hecke_orbit_code': 201326595, 'n': 54, 'trace_an': -1119214746}
  • id: 3769176
    {'hecke_orbit_code': 201326595, 'n': 55, 'trace_an': -3425179320}
  • id: 3769177
    {'hecke_orbit_code': 201326595, 'n': 56, 'trace_an': -4304576640}
  • id: 3769178
    {'hecke_orbit_code': 201326595, 'n': 57, 'trace_an': 4741271172}
  • id: 3769179
    {'hecke_orbit_code': 201326595, 'n': 58, 'trace_an': 838598436}
  • id: 3769180
    {'hecke_orbit_code': 201326595, 'n': 59, 'trace_an': 555306924}
  • id: 3769181
    {'hecke_orbit_code': 201326595, 'n': 60, 'trace_an': 5266616760}
  • id: 3769182
    {'hecke_orbit_code': 201326595, 'n': 61, 'trace_an': 4950420998}
  • id: 3769183
    {'hecke_orbit_code': 201326595, 'n': 62, 'trace_an': -3973117200}
  • id: 3769184
    {'hecke_orbit_code': 201326595, 'n': 63, 'trace_an': -1639200240}
  • id: 3769185
    {'hecke_orbit_code': 201326595, 'n': 64, 'trace_an': -9315634112}
  • id: 3769186
    {'hecke_orbit_code': 201326595, 'n': 65, 'trace_an': -4114569180}
  • id: 3769187
    {'hecke_orbit_code': 201326595, 'n': 66, 'trace_an': -12089543544}
  • id: 3769188
    {'hecke_orbit_code': 201326595, 'n': 67, 'trace_an': 5292399284}
  • id: 3769189
    {'hecke_orbit_code': 201326595, 'n': 68, 'trace_an': 12448452744}
  • id: 3769190
    {'hecke_orbit_code': 201326595, 'n': 69, 'trace_an': -3720903480}
  • id: 3769191
    {'hecke_orbit_code': 201326595, 'n': 70, 'trace_an': 11627553600}
  • id: 3769192
    {'hecke_orbit_code': 201326595, 'n': 71, 'trace_an': -14831086248}
  • id: 3769193
    {'hecke_orbit_code': 201326595, 'n': 72, 'trace_an': 9156374136}
  • id: 3769194
    {'hecke_orbit_code': 201326595, 'n': 73, 'trace_an': 13971005210}
  • id: 3769195
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