Embedded newform data - 832.2.bu.b.63.1

Formats: - HTML - YAML - JSON - 2025-10-11T02:16:01.829127

• 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': 3328, 'analytic_conductor': 6.643553448170528, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 52, 'char_degree': 4, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 47, 'char_orbit_label': 'bu', 'char_order': 12, 'char_parity': 1, 'char_values': [832, 12, [703, 261, 769], [6, 12, 7]], 'cm_discs': [], 'conrey_index': 63, 'dim': 4, 'field_disc': 144, 'field_disc_factorization': [[2, 4], [3, 2]], 'field_poly': [1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 12, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [4, 12, 14, 6, 1]], [5, [1, 2, 2, -2, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4506760756855616, 'hecke_ring_generator_nbound': 9, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 52, 12, 1, 12, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '832.2.bu.b', 'level': 832, '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': '416.2.bu.a', 'nf_label': '4.0.144.1', 'prim_orbit_index': 12, 'qexp_display': 'q+(-2+\\zeta_{12}+\\zeta_{12}^{2}-\\zeta_{12}^{3})q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c12', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '832.2.bu', 'trace_display': [0, -6, 2, 4], 'trace_hash': 472087782685728896, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.013', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.916', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.152', 'prec': 17}, {'__RealLiteral__': 0, 'data': '46.568', 'prec': 20}, {'__RealLiteral__': 0, 'data': '8.433', 'prec': 17}, {'__RealLiteral__': 0, 'data': '887.368', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.089', 'prec': 17}, 'traces': [4, 0, -6, 0, 2, 0, 4, 0, 2, 0, 4, 0, 14, 0, 2, 0, -12, 0, -14, 0, -8, 0, 14, 0, 0, 0, 0, 0, 2, 0, 4, 0, -8, 0, 12, 0, 4, 0, -18, 0, 12, 0, -16, 0, -2, 0, 4, 0, -24, 0, 12, 0, 0, 0, 12, 0, 20, 0, 16, 0, 4, 0, -16, 0, 4, 0, -18, 0, -48, 0, -14, 0, -6, 0, 12, 0, 0, 0, 0, 0, -2, 0, 4, 0, -24, 0, -18, 0, 34, 0, 20, 0, -4, 0, -14, 0, -6, 0, 8, 0, 24, 0, 20, 0, -8, 0, 6, 0, 24, 0, -22, 0, 4, 0, 22, 0, 4, 0, 12, 0, 0, 0, -30, 0, 10, 0, -22, 0, 0, 0, 0, 0, -28, 0, -8, 0, -6, 0, -24, 0, 16, 0, 20, 0, -8, 0, 22, 0, -20, 0, 12, 0, 24, 0, 28, 0, 76, 0, 6, 0, -16, 0, -24, 0, -8, 0, -4, 0, 46, 0, -22, 0, -12, 0, -12, 0, -32, 0, 4, 0, 0, 0, 0, 0, 10, 0, -24, 0, 32, 0, 66, 0, -12, 0, 10, 0, -2, 0, 2, 0, 48, 0, 20, 0, 42, 0, 52, 0, -16, 0, -90, 0, -28, 0, 16, 0, -28, 0, 6, 0, -48, 0, 6, 0, -42, 0, 14, 0, -56, 0, -16, 0, 0, 0, 0, 0, 24, 0, -36, 0, -6, 0, -6, 0, -2, 0, -52, 0, -4, 0, 22, 0, -40, 0, 12, 0, -6, 0, -40, 0, 52, 0, 24, 0, 6, 0, -76, 0, -16, 0, 48, 0, -28, 0, 24, 0, 48, 0, -22, 0, -50, 0, -28, 0, 0, 0, 0, 0, 8, 0, 12, 0, -6, 0, 24, 0, -16, 0, 70, 0, -40, 0, -42, 0, -4, 0, 56, 0, -36, 0, 36, 0, -32, 0, -36, 0, -2, 0, -28, 0, -4, 0, 78, 0, -6, 0, -84, 0, 36, 0, -64, 0, 2, 0, 6, 0, 0, 0, 0, 0, 8, 0, -24, 0, -8, 0, 78, 0, 14, 0, 0, 0, 82, 0, -14, 0, 12, 0, 64, 0, 48, 0, -12, 0, 48, 0, -30, 0, 42, 0, 0, 0, 34, 0, -10, 0, 10, 0, 34, 0, 48, 0, 0, 0, 32, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 48, 0, 26, 0, 26, 0, -16, 0, -28, 0, 40, 0, 24, 0, -48, 0, -32, 0, -8, 0, -90, 0, -46, 0, -22, 0, 6, 0, 76, 0, -40, 0, -52, 0, -30, 0, 10, 0, -4, 0, 20, 0, 0, 0, 0, 0, -26, 0, 40, 0, 58, 0, -12, 0, 0, 0, 48, 0, -12, 0, -24, 0, -52, 0, -36, 0, -24, 0, 0, 0, -24, 0, -126, 0, -64, 0, -36, 0, -12, 0, -26, 0, 26, 0, -40, 0, 42, 0, 20, 0, 48, 0, 36, 0, 0, 0, 0, 0, -28, 0, 12, 0, 32, 0, 72, 0, -18, 0, -48, 0, -2, 0, -48, 0, 40, 0, 4, 0, 48, 0, 96, 0, -120, 0, 36, 0, 24, 0, -18, 0, -58, 0, -28, 0, 66, 0, 2, 0, -24, 0, -52, 0, 102, 0, -22, 0, 0, 0, 0, 0, 56, 0, 44, 0, -24, 0, -6, 0, -26, 0, -32, 0, 24, 0, -12, 0, -4, 0, 28, 0, -60, 0, 104, 0, -120, 0, 60, 0, -10, 0, 42, 0, 32, 0, 12, 0, 2, 0, 32, 0, -48, 0, -32, 0, 66, 0, -48, 0, 0, 0, 0, 0, 16, 0, -60, 0, -12, 0, 18, 0, -28, 0, 2, 0, 48, 0, -30, 0, -62, 0, -60, 0, -24, 0, 104, 0, -8, 0, -24, 0, 54, 0, 56, 0, 92, 0, -62, 0, -72, 0, 98, 0, 120, 0, -36, 0, -32, 0, 14, 0, 0, 0, 0, 0, -48, 0, -36, 0, -12, 0, -12, 0, -84, 0, 42, 0, -92, 0, -26, 0, 36, 0, 16, 0, -36, 0, 48, 0, 48, 0, -84, 0, -44, 0, -46, 0, -6, 0, 56, 0, 0, 0, -80, 0, -24, 0, -80, 0, -78, 0, 12, 0, 0, 0, 0, 0, 4, 0, 12, 0, -68, 0, -84, 0, -76, 0, 36, 0, 36, 0, 36, 0, 20, 0, 24, 0, 42, 0, -96, 0, 92, 0, 60, 0, -6, 0, -22, 0, 24, 0, -4, 0, 76, 0, -20, 0, -48, 0, 8, 0, 16, 0, 48, 0, 0, 0, 0, 0, 36, 0, 80, 0, -2, 0, 36, 0, 18, 0, 68, 0, -2, 0, 2, 0, 50, 0, 12, 0, 12, 0, -36, 0, -112, 0, -48, 0, 26, 0, 78, 0, 12, 0, 52, 0, 8, 0, -6, 0, 36, 0, -78, 0, 128, 0, -12, 0, 0, 0, 0, 0, -12, 0, 84, 0, 12, 0, -48, 0, 92, 0, -68, 0, -18, 0, 76, 0, -72, 0, 24, 0, -12, 0, -116, 0, 108, 0, -36, 0, 16, 0, 26, 0, 32, 0, 50, 0, 2, 0, 12, 0, 84, 0, -46, 0, 70, 0, -22, 0, 0, 0, 0, 0, -60, 0, -140, 0, 60, 0, 48, 0, 48, 0, -66, 0, -66, 0, -52, 0, 42, 0, 48, 0, -6, 0, 132, 0, -8, 0, 24, 0, 80, 0, -20, 0, -52, 0, -4, 0, -192, 0, -22, 0, -18, 0, 8, 0, 14, 0, -16, 0, 0, 0, 0, 0, 8, 0, 8, 0, 108, 0, -6, 0, -100, 0, -28, 0, -6, 0, 22, 0, -80, 0, 100, 0, -108, 0, -72, 0, 124, 0, 60, 0, -76, 0, -174, 0, 32, 0, -26, 0, 6, 0, -14, 0, 24, 0, 78, 0, 56, 0, -12, 0, 0, 0, 0, 0, -6, 0, -48, 0, -60, 0, 54, 0, 56, 0, 60, 0, -68, 0, -16, 0, 138, 0, -12, 0, 30, 0, -16, 0, -248, 0, 90, 0, 64, 0, -2, 0, -16, 0, 40, 0], 'weight': 2, '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], [-1.3660254037844386, 0.7886751345948129], [0.0, 0.0], [-0.1636915368707627, -0.1636915368707627], [0.0, 0.0], [0.37796447300922725, -0.10127527531047731], [0.0, 0.0], [0.7440169358562925, -1.2886751345948129], [0.0, 0.0], [-0.2207216232893299, 0.8237443124448571], [0.0, 0.0], [0.970725343394151, -0.2401922307076307], [0.0, 0.0], [0.35270624262355954, 0.0945073528763984], [0.0, 0.0], [-0.0974808372963945, -0.05628058765390348], [0.0, 0.0], [-0.20691550786769647, -0.772219188236161], [0.0, 0.0], [-0.4364357804719848, 0.4364357804719848], [0.0, 0.0], [0.9103792288284155, 1.5768230784861887], [0.0, 0.0], [0.0, -0.9464101615137754], [0.0, 0.0], [0.0, 0.769800358919501], [0.0, 0.0], [0.4144814295398644, 0.7179028947568248], [0.0, 0.0], [-0.44256571481148027, 0.44256571481148027], [0.0, 0.0], [-0.3481553119113957, -1.2993333129783187], [0.0, 0.0], [-0.07844749093200996, -0.04529168000684668], [0.0, 0.0], [0.5915200853939818, 0.15849732918810616], [0.0, 0.0], [-1.136601839291814, 1.0936956297942542], [0.0, 0.0], [-0.4782318307349857, 1.784785490099646], [0.0, 0.0], [-0.8741295532281058, 1.5140367985885625], [0.0, 0.0], [-0.33273448899715413, 0.08915593762076973], [0.0, 0.0], [-0.3594261611420168, -0.3594261611420168], [0.0, 0.0], [-0.7334249423165088, 0.4234430878768221], [0.0, 0.0], [0.17754840017206996, 0.0], [0.0, 0.0], [-0.23791547571544325, 0.0], [0.0, 0.0], [0.17097023422948837, -0.09870971075580848], [0.0, 0.0], [0.8916819124030837, 0.8916819124030837], [0.0, 0.0], [0.7462494523241441, -0.19995693810242202], [0.0, 0.0], [-0.42637907328303365, 0.7385102182103479], [0.0, 0.0], [0.1507010400290075, -0.5624239381417272], [0.0, 0.0], [-0.19821695872853634, -0.11958208795063859], [0.0, 0.0], [-1.0787717114973223, -0.28905600891324756], [0.0, 0.0], [-2.4872023073146043, -1.435986921657145], [0.0, 0.0], [0.30407456495105956, 1.134821725686757], [0.0, 0.0], [-1.0878071816335018, 1.0878071816335018], [0.0, 0.0], [0.7464101615137755, 1.292820323027551], [0.0, 0.0], [0.0, 0.333699728113171], [0.0, 0.0], [0.0, -1.0647946220325928], [0.0, 0.0], [0.1368945341743197, 0.2371082884683957], [0.0, 0.0], [0.6801160854617204, -0.6801160854617204], [0.0, 0.0], [0.006744132183438448, 0.02516944396155272], [0.0, 0.0], [-1.1323843242966891, -0.653782394458806], [0.0, 0.0], [1.5435877624356158, 0.4136030943911869], [0.0, 0.0], [0.3425741585603184, -0.18909460630342062], [0.0, 0.0], [0.2555154345805073, -0.9535965839724948], [0.0, 0.0], [-0.09253542823821237, 0.16027606320872764], [0.0, 0.0], [-0.5919597110904548, 0.15861512653844806], [0.0, 0.0], [0.8973181868746337, 0.8973181868746337], [0.0, 0.0], [1.3725770501149186, -0.7924577293673507], [0.0, 0.0], [0.6633286762787188, 0.0], [0.0, 0.0], [0.1428816873017, 0.0], [0.0, 0.0], [0.061288637528957406, -0.035385011375608955], [0.0, 0.0], [1.0723969083810887, 1.0723969083810887], [0.0, 0.0], [-0.9330343659272676, 0.250005804860696], [0.0, 0.0], [-0.15033436412874604, 0.26038675679454826], [0.0, 0.0], [0.10909121798854844, -0.40713396819283465], [0.0, 0.0], [0.41270634031437914, -1.4296567000606326], [0.0, 0.0], [-0.042544125306514496, -0.011399664018569051], [0.0, 0.0], [0.23618874648666507, 0.13636363636363635], [0.0, 0.0], [-0.7543391069448773, -2.815231873254415], [0.0, 0.0], [-0.3186108707190594, 0.3186108707190594], [0.0, 0.0], [-0.25750409636851057, -0.44601017806737275], [0.0, 0.0], [0.0, -2.75761697218192], [0.0, 0.0], [0.0, 0.33234370592014767], [0.0, 0.0], [-0.156413421777301, -0.27091599350398565], [0.0, 0.0], [0.1260098038351979, -0.1260098038351979], [0.0, 0.0], [-0.12815364865751414, -0.4782759279651738], [0.0, 0.0], [0.5194610666282402, 0.2999109866513446], [0.0, 0.0], [0.7744557429202913, 0.2075147908891372], [0.0, 0.0], [-0.016403089623195435, 0.8526450996302862], [0.0, 0.0], [0.049667525960942926, -0.18536173037248524], [0.0, 0.0], [0.6679180686489917, -1.156868030193331], [0.0, 0.0], [-0.48056352573558053, 0.12876660863270187], [0.0, 0.0], [-0.03776805380961591, -0.03776805380961591], [0.0, 0.0], [-0.14505478773993846, 0.0837474207488975], [0.0, 0.0], [0.14488852404759775, 0.0], [0.0, 0.0], [1.7928304870389369, 0.0], [0.0, 0.0], [0.32499858378075513, -0.18763801983206613], [0.0, 0.0], [0.5037841968522819, 0.5037841968522819], [0.0, 0.0], [-0.6056209594866148, 0.16227564701380012], [0.0, 0.0], [-0.1556997888323046, 0.26967994498529685], [0.0, 0.0], [0.32470802319447956, -1.2118268401870513], [0.0, 0.0], [0.8846153846153846, -0.4663213712685439], [0.0, 0.0], [-1.149088308481804, -0.30789728428974417], [0.0, 0.0], [-1.4132542359075089, -0.8159427135345791], [0.0, 0.0], [-0.0958479496639409, -0.3577094179471318], [0.0, 0.0], [-0.8616946443639109, 0.8616946443639109], [0.0, 0.0], [0.2042030648758245, 0.35369008342621167], [0.0, 0.0], [0.0, 0.5348857971300204], [0.0, 0.0], [0.0, -1.3450982920396326], [0.0, 0.0], [-0.0708821604633534, -0.12277150327277798], [0.0, 0.0], [0.06787694262862048, 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-0.1588056340487699, 0.22916393015868103, 0.25261701484249055, -0.16589828618800007, -0.26897765138465085, -0.22854535877796678, -0.4867721819962, -0.30262816585588, 0.05826285733226577, 0.26467147316188405, -0.41064562491813367, -0.2951523352610604, -0.061009433695805734, -0.3412324131915674, -0.18773392508793854, -0.19619492997591165, -0.3277004579579575, 0.01198466992567627, -0.44068417761028067, -0.12478337622388636, 0.026570323749449495, -0.08148330758127767, -0.11818817540004453, -0.3316778565305881, -0.12925090478648718, -0.07308112232812665, -0.3424161943466634, -0.35041583739522925, -0.3185574505173102, -0.050603191085485694, 0.043089335852658624, -0.06804416925016998, -0.25236171745848585, 0.1574109630829147, -0.31663183810845363, 0.3562098883790834, -0.23360844956312982, 0.013163237638922394, 0.2564348624834928, -0.4548986362695417, -0.456660971564621, -0.07155016950963713, -0.3508555488879113, -0.33200324316837027, -0.38877677658792553, -0.4558775254902629, 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0.33433097852274607, -0.23731376288624045, -0.3056654726636863, -0.12637096475867937, -0.34690134925197486, -0.4445921284042329, -0.4485481538552435, -0.15282074358454642, -0.4167234876404884, -0.16549480988246865, -0.11845098274107851, 0.16065076371285236, -0.029247307062801736, -0.38709828092836585, -0.2335095037002444, 0.11808565619924626, -0.21511168285886575, -0.27926271291006927, -0.48712470598905844], 'char_orbit_index': 47, 'conrey_index': 63, 'dual_conrey_index': 383, 'dual_embedding_index': 1, 'dual_embedding_m': 3, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': -0.5, 'embedding_root_real': -0.8660254037844386, 'hecke_orbit': 2, 'hecke_orbit_code': 4506760756855616, 'label': '832.2.bu.b.63.1', 'level': 832, 'weight': 2}
• 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': 3328, 'analytic_conductor': 6.643553448170528, 'char_conductor': 52, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 47, 'char_orbit_label': 'bu', 'char_order': 12, 'char_parity': 1, 'char_values': [832, 12, [703, 261, 769], [6, 12, 7]], 'conrey_index': 63, 'cusp_dim': 400, 'dim': 104, 'eis_dim': 96, 'eis_new_dim': 16, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 3161129485120, 'hecke_orbit_dims': [4, 4, 4, 4, 4, 4, 4, 4, 8, 8, 8, 16, 16, 16], 'label': '832.2.bu', 'level': 832, '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': 496, 'mf_new_dim': 120, 'num_forms': 14, 'prim_orbit_index': 12, 'relative_dim': 26, 'sturm_bound': 224, 'trace_bound': 7, 'trace_display': [0, 0, 8, 0], 'traces': [104, 0, 0, 0, 8, 0, 0, 0, 40, 0, 0, 0, 8, 0, 0, 0, -12, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, -20, 0, 0, 0, 24, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 16, 0, 0, 0, -20, 0, 0, 0, 4, 0, 0, 0, -24, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 28, 0, 0, 0, -16, 0, 0, 0, 84, 0, 0, 0, -16, 0, 0, 0, 12, 0, 0, 0, -40, 0, 0, 0, 72, 0, 0, 0, -4, 0, 0, 0, -64, 0, 0, 0, -12, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, -16, 0, 0, 0, 20, 0, 0, 0, -36, 0, 0, 0, 200, 0, 0, 0, -48, 0, 0, 0, -240, 0, 0, 0, 52, 0, 0, 0, 60, 0, 0, 0, 32, 0, 0, 0, -132, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, -104, 0, 0, 0, 40, 0, 0, 0, -88, 0, 0, 0, -84, 0, 0, 0, -276, 0, 0, 0, -16, 0, 0, 0, -220, 0, 0, 0, -4, 0, 0, 0, -36, 0, 0, 0, 216, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, -96, 0, 0, 0, -8, 0, 0, 0, -148, 0, 0, 0, 12, 0, 0, 0, 108, 0, 0, 0, -32, 0, 0, 0, 72, 0, 0, 0, 4, 0, 0, 0, -148, 0, 0, 0, 12, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, -40, 0, 0, 0, 168, 0, 0, 0, -212, 0, 0, 0, -84, 0, 0, 0, 48, 0, 0, 0, -16, 0, 0, 0, -24, 0, 0, 0, -28, 0, 0, 0, 112, 0, 0, 0, -12, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, -44, 0, 0, 0, 136, 0, 0, 0, 32, 0, 0, 0, -48, 0, 0, 0, -12, 0, 0, 0, 368, 0, 0, 0, -120, 0, 0, 0, 4, 0, 0, 0, 52, 0, 0, 0, 492, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 248, 0, 0, 0, 96, 0, 0, 0, 100, 0, 0, 0, 72, 0, 0, 0, 252, 0, 0, 0, 344, 0, 0, 0, 280, 0, 0, 0, 200, 0, 0, 0, 180, 0, 0, 0, -36, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, -92, 0, 0, 0, 352, 0, 0, 0, 244, 0, 0, 0, 8, 0, 0, 0, 104, 0, 0, 0, -336, 0, 0, 0, 144, 0, 0, 0, -124, 0, 0, 0, 64, 0, 0, 0, 32, 0, 0, 0, 12, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, 52, 0, 0, 0, -36, 0, 0, 0, 296, 0, 0, 0, 328, 0, 0, 0, 12, 0, 0, 0, 48, 0, 0, 0, 52, 0, 0, 0, 32, 0, 0, 0, -8, 0, 0, 0, -12, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 80, 0, 0, 0, -8, 0, 0, 0, -176, 0, 0, 0, 180, 0, 0, 0, -12, 0, 0, 0, -760, 0, 0, 0, -80, 0, 0, 0, -108, 0, 0, 0, 200, 0, 0, 0, -564, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, -552, 0, 0, 0, 132, 0, 0, 0, -120, 0, 0, 0, 224, 0, 0, 0, -804, 0, 0, 0, -104, 0, 0, 0, -388, 0, 0, 0, -28, 0, 0, 0, -84, 0, 0, 0, -108, 0, 0, 0, -496, 0, 0, 0, 0, 0, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, -312, 0, 0, 0, 156, 0, 0, 0, -220, 0, 0, 0, -204, 0, 0, 0, -144, 0, 0, 0, -148, 0, 0, 0, 68, 0, 0, 0, -144, 0, 0, 0, -96, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, -8, 0, 0, 0, -44, 0, 0, 0, -572, 0, 0, 0, 96, 0, 0, 0, -288, 0, 0, 0, -56, 0, 0, 0, 88, 0, 0, 0, -36, 0, 0, 0, 84, 0, 0, 0, -12, 0, 0, 0, 452, 0, 0, 0, 0, 0, 0, 0, -156, 0, 0, 0, -16, 0, 0, 0, 368, 0, 0, 0, 64, 0, 0, 0, -328, 0, 0, 0, -48, 0, 0, 0, 784, 0, 0, 0, -88, 0, 0, 0, 108, 0, 0, 0, -20, 0, 0, 0, 972, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 660, 0, 0, 0, -92, 0, 0, 0, -8, 0, 0, 0, 88, 0, 0, 0, 732, 0, 0, 0, -424, 0, 0, 0, 232, 0, 0, 0, -16, 0, 0, 0, 104, 0, 0, 0, -300, 0, 0, 0, 200, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, -284, 0, 0, 0, -16, 0, 0, 0, -136, 0, 0, 0, 312, 0, 0, 0, 252, 0, 0, 0, 648, 0, 0, 0, 148, 0, 0, 0, -92, 0, 0, 0, -236, 0, 0, 0, 216, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, -100, 0, 0, 0, -48, 0, 0, 0, -116, 0, 0, 0, 396, 0, 0, 0, -344, 0, 0, 0, 336, 0, 0, 0, -160, 0, 0, 0, -216, 0, 0, 0, -52, 0, 0, 0, -24, 0, 0, 0, -12, 0, 0, 0, -164, 0, 0, 0, 0, 0, 0, 0, 148, 0, 0, 0, -432, 0, 0, 0, -60, 0, 0, 0, -120, 0, 0, 0, 16, 0, 0, 0, -132, 0, 0, 0, -744, 0, 0, 0, 492, 0, 0, 0, 36, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 39521334
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 63, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4506760756855616, 'source_is_minimal': False, 'source_label': '832.2.bu.b.63.1', 'source_level': 832, 'target_conrey_index': 63, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506760756855616, 'target_is_minimal': False, 'target_label': '832.2.bu.b.63.1', 'target_level': 832, 'twist_class_label': '416.2.bu.a.63.1', 'twist_class_level': 416, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 39521335
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 63, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4506760756855616, 'source_is_minimal': False, 'source_label': '832.2.bu.b.63.1', 'source_level': 832, 'target_conrey_index': 63, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27024758893708096, 'target_is_minimal': False, 'target_label': '832.2.bu.g.63.1', 'target_level': 832, 'twist_class_label': '416.2.bu.a.63.1', 'twist_class_level': 416, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 39521336
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 63, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4506760756855616, 'source_is_minimal': False, 'source_label': '832.2.bu.b.63.1', 'source_level': 832, 'target_conrey_index': 63, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 3161129484704, 'target_is_minimal': True, 'target_label': '416.2.bu.a.63.1', 'target_level': 416, 'twist_class_label': '416.2.bu.a.63.1', 'twist_class_level': 416, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 39521337
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 63, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4506760756855616, 'source_is_minimal': False, 'source_label': '832.2.bu.b.63.1', 'source_level': 832, 'target_conrey_index': 63, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506760756855200, 'target_is_minimal': True, 'target_label': '416.2.bu.b.63.1', 'target_level': 416, 'twist_class_label': '416.2.bu.a.63.1', 'twist_class_level': 416, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 39521338
    {'conductor': 13, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 63, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4506760756855616, 'source_is_minimal': False, 'source_label': '832.2.bu.b.63.1', 'source_level': 832, 'target_conrey_index': 383, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27024758893708096, 'target_is_minimal': False, 'target_label': '832.2.bu.g.383.1', 'target_level': 832, 'twist_class_label': '416.2.bu.a.63.1', 'twist_class_level': 416, 'twisting_char_label': '13.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 39521339
    {'conductor': 52, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 63, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4506760756855616, 'source_is_minimal': False, 'source_label': '832.2.bu.b.63.1', 'source_level': 832, 'target_conrey_index': 383, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506760756855616, 'target_is_minimal': False, 'target_label': '832.2.bu.b.383.1', 'target_level': 832, 'twist_class_label': '416.2.bu.a.63.1', 'twist_class_level': 416, 'twisting_char_label': '52.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 39521340
    {'conductor': 104, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 63, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4506760756855616, 'source_is_minimal': False, 'source_label': '832.2.bu.b.63.1', 'source_level': 832, 'target_conrey_index': 383, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506760756855200, 'target_is_minimal': True, 'target_label': '416.2.bu.b.383.1', 'target_level': 416, 'twist_class_label': '416.2.bu.a.63.1', 'twist_class_level': 416, 'twisting_char_label': '104.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 39521341
    {'conductor': 104, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 63, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4506760756855616, 'source_is_minimal': False, 'source_label': '832.2.bu.b.63.1', 'source_level': 832, 'target_conrey_index': 383, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 3161129484704, 'target_is_minimal': True, 'target_label': '416.2.bu.a.383.1', 'target_level': 416, 'twist_class_label': '416.2.bu.a.63.1', 'twist_class_level': 416, 'twisting_char_label': '104.45', 'twisting_conrey_index': 45, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1385400
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4506760756855616, 'p': 2}
  • id: 1385401
    {'charpoly_factorization': [[[4, 12, 14, 6, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 3}
  • id: 1385402
    {'charpoly_factorization': [[[1, 2, 2, -2, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 5}
  • id: 1385403
    {'charpoly_factorization': [[[16, -32, 20, -4, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 7}
  • id: 1385404
    {'charpoly_factorization': [[[64, -32, 8, -4, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 11}
  • id: 1385405
    {'charpoly_factorization': [[[13, -7, 1], 2]], 'hecke_orbit_code': 4506760756855616, 'p': 13}
  • id: 1385406
    {'charpoly_factorization': [[[9, 36, 51, 12, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 17}
  • id: 1385407
    {'charpoly_factorization': [[[484, 220, 74, 14, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 19}
  • id: 1385408
    {'charpoly_factorization': [[[2116, -644, 150, -14, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 23}
  • id: 1385409
    {'charpoly_factorization': [[[121, 22, 15, -2, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 29}
  • id: 1385410
    {'charpoly_factorization': [[[484, 88, 8, -4, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 31}
  • id: 1385411
    {'charpoly_factorization': [[[529, -230, 29, -4, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 37}
  • id: 1385412
    {'charpoly_factorization': [[[12321, -1998, 117, -12, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 41}
  • id: 1385413
    {'charpoly_factorization': [[[2704, 832, 204, 16, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 43}
  • id: 1385414
    {'charpoly_factorization': [[[484, 88, 8, -4, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 47}
  • id: 1385415
    {'charpoly_factorization': [[[-3, 0, 1], 2]], 'hecke_orbit_code': 4506760756855616, 'p': 53}
  • id: 1385416
    {'charpoly_factorization': [[[2704, -1040, 164, -16, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 59}
  • id: 1385417
    {'charpoly_factorization': [[[5041, 284, 87, -4, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 61}
  • id: 1385418
    {'charpoly_factorization': [[[36, 36, 90, 18, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 67}
  • id: 1385419
    {'charpoly_factorization': [[[9604, 1372, 98, 14, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 71}
  • id: 1385420
    {'charpoly_factorization': [[[13689, -702, 18, 6, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 73}
  • id: 1385421
    {'charpoly_factorization': [[[576, 0, 96, 0, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 79}
  • id: 1385422
    {'charpoly_factorization': [[[2704, 208, 8, -4, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 83}
  • id: 1385423
    {'charpoly_factorization': [[[20164, -3692, 458, -34, 1], 1]], 'hecke_orbit_code': 4506760756855616, 'p': 89}
  • id: 1385424
    {'charpoly_factorization': [[[4356, 1188, 90, 6, 1], 1]], 'hecke_orbit_code': 4506760756855616, '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': 47, 'hecke_orbit': 2, 'label': '832.2.bu.b', 'level': 832, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 25575259
    {'hecke_orbit_code': 4506760756855616, 'n': 1, 'trace_an': 4}
  • id: 25575260
    {'hecke_orbit_code': 4506760756855616, 'n': 2, 'trace_an': 0}
  • id: 25575261
    {'hecke_orbit_code': 4506760756855616, 'n': 3, 'trace_an': -6}
  • id: 25575262
    {'hecke_orbit_code': 4506760756855616, 'n': 4, 'trace_an': 0}
  • id: 25575263
    {'hecke_orbit_code': 4506760756855616, 'n': 5, 'trace_an': 2}
  • id: 25575264
    {'hecke_orbit_code': 4506760756855616, 'n': 6, 'trace_an': 0}
  • id: 25575265
    {'hecke_orbit_code': 4506760756855616, 'n': 7, 'trace_an': 4}
  • id: 25575266
    {'hecke_orbit_code': 4506760756855616, 'n': 8, 'trace_an': 0}
  • id: 25575267
    {'hecke_orbit_code': 4506760756855616, 'n': 9, 'trace_an': 2}
  • id: 25575268
    {'hecke_orbit_code': 4506760756855616, 'n': 10, 'trace_an': 0}
  • id: 25575269
    {'hecke_orbit_code': 4506760756855616, 'n': 11, 'trace_an': 4}
  • id: 25575270
    {'hecke_orbit_code': 4506760756855616, 'n': 12, 'trace_an': 0}
  • id: 25575271
    {'hecke_orbit_code': 4506760756855616, 'n': 13, 'trace_an': 14}
  • id: 25575272
    {'hecke_orbit_code': 4506760756855616, 'n': 14, 'trace_an': 0}
  • id: 25575273
    {'hecke_orbit_code': 4506760756855616, 'n': 15, 'trace_an': 2}
  • id: 25575274
    {'hecke_orbit_code': 4506760756855616, 'n': 16, 'trace_an': 0}
  • id: 25575275
    {'hecke_orbit_code': 4506760756855616, 'n': 17, 'trace_an': -12}
  • id: 25575276
    {'hecke_orbit_code': 4506760756855616, 'n': 18, 'trace_an': 0}
  • id: 25575277
    {'hecke_orbit_code': 4506760756855616, 'n': 19, 'trace_an': -14}
  • id: 25575278
    {'hecke_orbit_code': 4506760756855616, 'n': 20, 'trace_an': 0}
  • id: 25575279
    {'hecke_orbit_code': 4506760756855616, 'n': 21, 'trace_an': -8}
  • id: 25575280
    {'hecke_orbit_code': 4506760756855616, 'n': 22, 'trace_an': 0}
  • id: 25575281
    {'hecke_orbit_code': 4506760756855616, 'n': 23, 'trace_an': 14}
  • id: 25575282
    {'hecke_orbit_code': 4506760756855616, 'n': 24, 'trace_an': 0}
  • id: 25575283
    {'hecke_orbit_code': 4506760756855616, 'n': 25, 'trace_an': 0}
  • id: 25575284
    {'hecke_orbit_code': 4506760756855616, 'n': 26, 'trace_an': 0}
  • id: 25575285
    {'hecke_orbit_code': 4506760756855616, 'n': 27, 'trace_an': 0}
  • id: 25575286
    {'hecke_orbit_code': 4506760756855616, 'n': 28, 'trace_an': 0}
  • id: 25575287
    {'hecke_orbit_code': 4506760756855616, 'n': 29, 'trace_an': 2}
  • id: 25575288
    {'hecke_orbit_code': 4506760756855616, 'n': 30, 'trace_an': 0}
  • id: 25575289
    {'hecke_orbit_code': 4506760756855616, 'n': 31, 'trace_an': 4}
  • id: 25575290
    {'hecke_orbit_code': 4506760756855616, 'n': 32, 'trace_an': 0}
  • id: 25575291
    {'hecke_orbit_code': 4506760756855616, 'n': 33, 'trace_an': -8}
  • id: 25575292
    {'hecke_orbit_code': 4506760756855616, 'n': 34, 'trace_an': 0}
  • id: 25575293
    {'hecke_orbit_code': 4506760756855616, 'n': 35, 'trace_an': 12}
  • id: 25575294
    {'hecke_orbit_code': 4506760756855616, 'n': 36, 'trace_an': 0}
  • id: 25575295
    {'hecke_orbit_code': 4506760756855616, 'n': 37, 'trace_an': 4}
  • id: 25575296
    {'hecke_orbit_code': 4506760756855616, 'n': 38, 'trace_an': 0}
  • id: 25575297
    {'hecke_orbit_code': 4506760756855616, 'n': 39, 'trace_an': -18}
  • id: 25575298
    {'hecke_orbit_code': 4506760756855616, 'n': 40, 'trace_an': 0}
  • id: 25575299
    {'hecke_orbit_code': 4506760756855616, 'n': 41, 'trace_an': 12}
  • id: 25575300
    {'hecke_orbit_code': 4506760756855616, 'n': 42, 'trace_an': 0}
  • id: 25575301
    {'hecke_orbit_code': 4506760756855616, 'n': 43, 'trace_an': -16}
  • id: 25575302
    {'hecke_orbit_code': 4506760756855616, 'n': 44, 'trace_an': 0}
  • id: 25575303
    {'hecke_orbit_code': 4506760756855616, 'n': 45, 'trace_an': -2}
  • id: 25575304
    {'hecke_orbit_code': 4506760756855616, 'n': 46, 'trace_an': 0}
  • id: 25575305
    {'hecke_orbit_code': 4506760756855616, 'n': 47, 'trace_an': 4}
  • id: 25575306
    {'hecke_orbit_code': 4506760756855616, 'n': 48, 'trace_an': 0}
  • id: 25575307
    {'hecke_orbit_code': 4506760756855616, 'n': 49, 'trace_an': -24}
  • id: 25575308
    {'hecke_orbit_code': 4506760756855616, 'n': 50, 'trace_an': 0}
  • id: 25575309
    {'hecke_orbit_code': 4506760756855616, 'n': 51, 'trace_an': 12}
  • id: 25575310
    {'hecke_orbit_code': 4506760756855616, 'n': 52, 'trace_an': 0}
  • id: 25575311
    {'hecke_orbit_code': 4506760756855616, 'n': 53, 'trace_an': 0}
  • id: 25575312
    {'hecke_orbit_code': 4506760756855616, 'n': 54, 'trace_an': 0}
  • id: 25575313
    {'hecke_orbit_code': 4506760756855616, 'n': 55, 'trace_an': 12}
  • id: 25575314
    {'hecke_orbit_code': 4506760756855616, 'n': 56, 'trace_an': 0}
  • id: 25575315
    {'hecke_orbit_code': 4506760756855616, 'n': 57, 'trace_an': 20}
  • id: 25575316
    {'hecke_orbit_code': 4506760756855616, 'n': 58, 'trace_an': 0}
  • id: 25575317
    {'hecke_orbit_code': 4506760756855616, 'n': 59, 'trace_an': 16}
  • id: 25575318
    {'hecke_orbit_code': 4506760756855616, 'n': 60, 'trace_an': 0}
  • id: 25575319
    {'hecke_orbit_code': 4506760756855616, 'n': 61, 'trace_an': 4}
  • id: 25575320
    {'hecke_orbit_code': 4506760756855616, 'n': 62, 'trace_an': 0}
  • id: 25575321
    {'hecke_orbit_code': 4506760756855616, 'n': 63, 'trace_an': -16}
  • id: 25575322
    {'hecke_orbit_code': 4506760756855616, 'n': 64, 'trace_an': 0}
  • id: 25575323
    {'hecke_orbit_code': 4506760756855616, 'n': 65, 'trace_an': 4}
  • id: 25575324
    {'hecke_orbit_code': 4506760756855616, 'n': 66, 'trace_an': 0}
  • id: 25575325
    {'hecke_orbit_code': 4506760756855616, 'n': 67, 'trace_an': -18}
  • id: 25575326
    {'hecke_orbit_code': 4506760756855616, 'n': 68, 'trace_an': 0}
  • id: 25575327
    {'hecke_orbit_code': 4506760756855616, 'n': 69, 'trace_an': -48}
  • id: 25575328
    {'hecke_orbit_code': 4506760756855616, 'n': 70, 'trace_an': 0}
  • id: 25575329
    {'hecke_orbit_code': 4506760756855616, 'n': 71, 'trace_an': -14}
  • id: 25575330
    {'hecke_orbit_code': 4506760756855616, 'n': 72, 'trace_an': 0}
  • id: 25575331
    {'hecke_orbit_code': 4506760756855616, 'n': 73, 'trace_an': -6}
  • id: 25575332
    {'hecke_orbit_code': 4506760756855616, 'n': 74, 'trace_an': 0}
  • id: 25575333
    {'hecke_orbit_code': 4506760756855616, 'n': 75, 'trace_an': 12}
  • id: 25575334
    {'hecke_orbit_code': 4506760756855616, 'n': 76, 'trace_an': 0}
  • id: 25575335
    {'hecke_orbit_code': 4506760756855616, 'n': 77, 'trace_an': 0}
  • id: 25575336
    {'hecke_orbit_code': 4506760756855616, 'n': 78, 'trace_an': 0}
  • id: 25575337
    {'hecke_orbit_code': 4506760756855616, 'n': 79, 'trace_an': 0}
  • id: 25575338
    {'hecke_orbit_code': 4506760756855616, 'n': 80, 'trace_an': 0}
  • id: 25575339
    {'hecke_orbit_code': 4506760756855616, 'n': 81, 'trace_an': -2}
  • id: 25575340
    {'hecke_orbit_code': 4506760756855616, 'n': 82, 'trace_an': 0}
  • id: 25575341
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  • id: 25575342
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  • id: 25575343
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  • id: 25575344
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  • id: 25575345
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  • id: 25575346
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  • id: 25575347
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  • id: 25575348
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  • id: 25575349
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  • id: 25575350
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  • id: 25575351
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  • id: 25575352
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  • id: 25575353
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  • id: 25575354
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  • id: 25575355
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  • id: 25575356
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  • id: 25575357
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  • id: 25575358
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  • id: 25575359
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  • id: 25575360
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  • id: 25575361
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  • id: 25575362
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  • id: 25575363
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  • id: 25575364
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  • id: 25575365
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  • id: 25575366
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  • id: 25575367
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  • id: 25575368
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  • id: 25575369
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  • id: 25575370
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  • id: 25575371
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  • id: 25575372
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  • id: 25575373
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  • id: 25575374
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  • id: 25575375
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  • id: 25575376
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  • id: 25575377
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  • id: 25575378
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  • id: 25575379
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  • id: 25575380
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  • id: 25575381
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  • id: 25575382
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  • id: 25575383
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  • id: 25575384
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  • id: 25575385
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  • id: 25575386
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  • id: 25575387
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  • id: 25575388
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  • id: 25575389
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  • id: 25575390
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  • id: 25575391
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  • id: 25575392
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  • id: 25575393
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  • id: 25575394
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  • id: 25575395
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  • id: 25575396
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  • id: 25575397
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  • id: 25575398
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  • id: 25575399
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  • id: 25575400
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  • id: 25575401
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  • id: 25575402
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  • id: 25575403
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  • id: 25575404
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  • id: 25575405
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  • id: 25575406
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  • id: 25575407
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  • id: 25575408
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  • id: 25575409
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  • id: 25575410
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  • id: 25575411
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  • id: 25575412
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  • id: 25575413
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  • id: 25575414
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  • id: 25575415
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  • id: 25575416
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  • id: 25575417
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  • id: 25575418
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  • id: 25575419
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  • id: 25575420
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  • id: 25575421
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  • id: 25575422
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  • id: 25575423
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  • id: 25575424
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  • id: 25575425
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  • id: 25575426
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  • id: 25575427
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  • id: 25575428
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  • id: 25575429
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  • id: 25575430
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  • id: 25575431
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  • id: 25575432
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  • id: 25575433
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  • id: 25575434
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  • id: 25575435
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  • id: 25575436
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  • id: 25575437
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  • id: 25575438
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  • id: 25575439
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  • id: 25575440
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  • id: 25575441
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  • id: 25575442
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  • id: 25575443
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  • id: 25575444
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  • id: 25575445
    {'hecke_orbit_code': 4506760756855616, 'n': 547, 'trace_an': 0}
  • id: 25575446
    {'hecke_orbit_code': 4506760756855616, 'n': 557, 'trace_an': -26}
  • id: 25575447
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  • id: 25575448
    {'hecke_orbit_code': 4506760756855616, 'n': 569, 'trace_an': -60}
  • id: 25575449
    {'hecke_orbit_code': 4506760756855616, 'n': 571, 'trace_an': 104}
  • id: 25575450
    {'hecke_orbit_code': 4506760756855616, 'n': 577, 'trace_an': -10}
  • id: 25575451
    {'hecke_orbit_code': 4506760756855616, 'n': 587, 'trace_an': 32}
  • id: 25575452
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  • id: 25575453
    {'hecke_orbit_code': 4506760756855616, 'n': 599, 'trace_an': 0}
  • id: 25575454
    {'hecke_orbit_code': 4506760756855616, 'n': 601, 'trace_an': 16}
  • id: 25575455
    {'hecke_orbit_code': 4506760756855616, 'n': 607, 'trace_an': 18}
  • id: 25575456
    {'hecke_orbit_code': 4506760756855616, 'n': 613, 'trace_an': 48}
  • id: 25575457
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  • id: 25575458
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  • id: 25575459
    {'hecke_orbit_code': 4506760756855616, 'n': 625, 'trace_an': -8}
  • id: 25575460
    {'hecke_orbit_code': 4506760756855616, 'n': 631, 'trace_an': 56}
  • id: 25575461
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  • id: 25575462
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  • id: 25575463
    {'hecke_orbit_code': 4506760756855616, 'n': 647, 'trace_an': 14}
  • id: 25575464
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  • id: 25575465
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  • id: 25575466
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  • id: 25575467
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  • id: 25575468
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  • id: 25575469
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  • id: 25575470
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  • id: 25575471
    {'hecke_orbit_code': 4506760756855616, 'n': 701, 'trace_an': 0}
  • id: 25575472
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  • id: 25575473
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  • id: 25575474
    {'hecke_orbit_code': 4506760756855616, 'n': 727, 'trace_an': -96}
  • id: 25575475
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  • id: 25575476
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  • id: 25575477
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  • id: 25575478
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  • id: 25575479
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  • id: 25575480
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  • id: 25575481
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  • id: 25575482
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  • id: 25575483
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  • id: 25575484
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  • id: 25575485
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  • id: 25575486
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  • id: 25575487
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  • id: 25575488
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  • id: 25575489
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  • id: 25575490
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  • id: 25575491
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  • id: 25575492
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  • id: 25575493
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  • id: 25575494
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  • id: 25575495
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  • id: 25575496
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  • id: 25575497
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  • id: 25575498
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  • id: 25575499
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  • id: 25575500
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  • id: 25575501
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  • id: 25575502
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  • id: 25575503
    {'hecke_orbit_code': 4506760756855616, 'n': 911, 'trace_an': 0}
  • id: 25575504
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  • id: 25575505
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  • id: 25575506
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  • id: 25575507
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  • id: 25575508
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  • id: 25575509
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  • id: 25575510
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  • id: 25575511
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  • id: 25575512
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  • id: 25575513
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  • id: 25575514
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  • id: 25575515
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  • id: 25575516
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