Embedded newform data - 504.2.r.e.169.1

Formats: - HTML - YAML - JSON - 2026-09-23T08:32:45.592099

• 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': 2016, 'analytic_conductor': 4.024460261872531, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 9, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 3, 'char_parity': 1, 'char_values': [504, 3, [127, 253, 281, 73], [3, 3, 2, 3]], 'cm_discs': [], 'conrey_index': 169, 'dim': 8, 'field_disc': 2091141441, 'field_disc_factorization': [[3, 4], [5081, 2]], 'field_poly': [81, -27, 9, 9, -15, 3, 1, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [4, 18, 65, 84, 93, -6, 17, 3, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18015566774141432, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 3, 'hecke_ring_index_factorization': [[3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 9, 3, 1, 3, 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': True, 'label': '504.2.r.e', 'level': 504, '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, 3, 7], 'level_radical': 42, 'minimal_twist': '504.2.r.e', 'nf_label': '8.0.2091141441.1', 'prim_orbit_index': 3, 'qexp_display': 'q+\\beta _{4}q^{3}+(\\beta _{2}+\\beta _{4}+\\beta _{6})q^{5}+(1+\\beta _{2}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '504.2.r', 'trace_display': [0, -1, -3, 4], 'trace_hash': 1409236919273133241, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.025', 'prec': 7}, {'__RealLiteral__': 0, 'data': '7.345', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.724', 'prec': 10}, {'__RealLiteral__': 0, 'data': '225.133', 'prec': 20}, {'__RealLiteral__': 0, 'data': '82.792', 'prec': 17}, {'__RealLiteral__': 0, 'data': '13051.366', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.005', 'prec': 4}, 'traces': [8, 0, -1, 0, -3, 0, 4, 0, -1, 0, 7, 0, 3, 0, -11, 0, 6, 0, -8, 0, 1, 0, 2, 0, -5, 0, 11, 0, -9, 0, 3, 0, -21, 0, -6, 0, 6, 0, 2, 0, 9, 0, 8, 0, 7, 0, 3, 0, -4, 0, -18, 0, 12, 0, -56, 0, 34, 0, 10, 0, 20, 0, -2, 0, 1, 0, 11, 0, -17, 0, -6, 0, -48, 0, 52, 0, -7, 0, 21, 0, -25, 0, 8, 0, 9, 0, -15, 0, 12, 0, 6, 0, 29, 0, 36, 0, 16, 0, 18, 0, -7, 0, 8, 0, 11, 0, -80, 0, -62, 0, -11, 0, -10, 0, 13, 0, -52, 0, 3, 0, 9, 0, -35, 0, 84, 0, -12, 0, 3, 0, -29, 0, -4, 0, -38, 0, 16, 0, 48, 0, -31, 0, 8, 0, -12, 0, 2, 0, -18, 0, 37, 0, 3, 0, 7, 0, 29, 0, -24, 0, 4, 0, 20, 0, 51, 0, 9, 0, 21, 0, -5, 0, -31, 0, 5, 0, 29, 0, -38, 0, -86, 0, 19, 0, -25, 0, -6, 0, -8, 0, 9, 0, 28, 0, -68, 0, 22, 0, -24, 0, 48, 0, 9, 0, 2, 0, 40, 0, -40, 0, -3, 0, -22, 0, -10, 0, 6, 0, 64, 0, -30, 0, 37, 0, -101, 0, 14, 0, 1, 0, -9, 0, 40, 0, -68, 0, 1, 0, -29, 0, 21, 0, 59, 0, -3, 0, 3, 0, 35, 0, -10, 0, 30, 0, 24, 0, 51, 0, 3, 0, -45, 0, 7, 0, 57, 0, -21, 0, 30, 0, -56, 0, 4, 0, 62, 0, 24, 0, 125, 0, -12, 0, 7, 0, 5, 0, 18, 0, -10, 0, 38, 0, -61, 0, -22, 0, 9, 0, 32, 0, -8, 0, -49, 0, -2, 0, -42, 0, 87, 0, 16, 0, -8, 0, -13, 0, -62, 0, 3, 0, 35, 0, -18, 0, -108, 0, 25, 0, -3, 0, -30, 0, 13, 0, -1, 0, -34, 0, -70, 0, 20, 0, -8, 0, 17, 0, 10, 0, 50, 0, 50, 0, 1, 0, -8, 0, 12, 0, -24, 0, -12, 0, -49, 0, 26, 0, -15, 0, -122, 0, 6, 0, 35, 0, -96, 0, -138, 0, 40, 0, 1, 0, 11, 0, -28, 0, -42, 0, -11, 0, 51, 0, 45, 0, -40, 0, 86, 0, 32, 0, -29, 0, 47, 0, 61, 0, 28, 0, -7, 0, -61, 0, 20, 0, 54, 0, -74, 0, 4, 0, -29, 0, 53, 0, 66, 0, -20, 0, -27, 0, -154, 0, 56, 0, -42, 0, -41, 0, -21, 0, -1, 0, 35, 0, 42, 0, -21, 0, 42, 0, 22, 0, 65, 0, -1, 0, -64, 0, 18, 0, 6, 0, 10, 0, 103, 0, -8, 0, 22, 0, 100, 0, -13, 0, 92, 0, -105, 0, 21, 0, 1, 0, -28, 0, 44, 0, -6, 0, -101, 0, 30, 0, 75, 0, 24, 0, -3, 0, -33, 0, -58, 0, -64, 0, -84, 0, -21, 0, -40, 0, -24, 0, -83, 0, 65, 0, -37, 0, 40, 0, 60, 0, -38, 0, 17, 0, 21, 0, 30, 0, 95, 0, -56, 0, 5, 0, 99, 0, -14, 0, 66, 0, -15, 0, 12, 0, -77, 0, 67, 0, -36, 0, -21, 0, -7, 0, 250, 0, -62, 0, 54, 0, 1, 0, -78, 0, -47, 0, 10, 0, 44, 0, -2, 0, 28, 0, 70, 0, -123, 0, -8, 0, -51, 0, 64, 0, -21, 0, 18, 0, -10, 0, -82, 0, 18, 0, 30, 0, 42, 0, 85, 0, -18, 0, -92, 0, -63, 0, 15, 0, 50, 0, -82, 0, -169, 0, -7, 0, 13, 0, -56, 0, 6, 0, -122, 0, 108, 0, -18, 0, 88, 0, -120, 0, 56, 0, 3, 0, -7, 0, -55, 0, 32, 0, 24, 0, -150, 0, -24, 0, 25, 0, -46, 0, -50, 0, 43, 0, -45, 0, 13, 0, 72, 0, 72, 0, 180, 0, -88, 0, -21, 0, -36, 0, 43, 0, 67, 0, -16, 0, 108, 0, -58, 0, -154, 0, -36, 0, 24, 0, 10, 0, 6, 0, -22, 0, -12, 0, 0, 0, -52, 0, -72, 0, 91, 0, 7, 0, -30, 0, 67, 0, -25, 0, -70, 0, -18, 0, 138, 0, 16, 0, 16, 0, -78, 0, 15, 0, -61, 0, 84, 0, -89, 0, 22, 0, 20, 0, -76, 0, -80, 0, 92, 0, -30, 0, -31, 0, -40, 0, -53, 0, 40, 0, 56, 0, 228, 0, -39, 0, 36, 0, -31, 0, -66, 0, 7, 0, 96, 0, 28, 0, 254, 0, 222, 0, -22, 0, -30, 0, 5, 0, 207, 0, 154, 0, -17, 0, -1, 0, -20, 0, 212, 0, -36, 0, 18, 0, -24, 0, -33, 0, -50, 0, -13, 0, 44, 0, -126, 0, -138, 0, 83, 0, 37, 0, -47, 0, -26, 0, -107, 0, -58, 0, 81, 0, 50, 0, 22, 0, -143, 0, -3, 0, -17, 0, 26, 0, 93, 0, -61, 0, 69, 0, -84, 0, 18, 0, -141, 0, 13, 0, 7, 0, -199, 0, -16, 0, -36, 0, -28, 0, -144, 0, 142, 0, -133, 0, -41, 0, -50, 0, -73, 0, 42, 0, -50, 0, 25, 0, 30, 0, 200, 0, 67, 0, -86, 0, -6, 0, -96, 0, -63, 0, 112, 0, 67, 0, 132, 0, 138, 0, 45, 0, 37, 0, 10, 0, 179, 0, -39, 0, 19, 0, 95, 0, -58, 0, 4, 0, -224, 0, -7, 0, -57, 0, -42, 0, 47, 0, 4, 0, -45, 0, 120, 0, -124, 0, -66, 0, -85, 0, 19, 0, -55, 0, 95, 0, -5, 0, -94, 0, -218, 0, -22, 0, 102, 0, -16, 0, -33, 0, 53, 0, 46, 0, -160, 0, 3, 0, 64, 0, 96, 0, 118, 0, 48, 0, -36, 0, 4, 0, 56, 0, -46, 0, -2, 0, 162, 0, -34, 0, -175, 0, -123, 0, -40, 0, 55, 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], [-0.7527759531710699, 0.6582768143626108], [0.0, 0.0], [-0.07357015927763354, -0.1274272537897961], [0.0, 0.0], [0.18898223650461363, -0.3273268353539886], [0.0, 0.0], [0.1333432713452258, -0.9910699127644595], [0.0, 0.0], [0.20035666355526116, -0.3470279209126959], [0.0, 0.0], [-0.42694390310277525, -0.7394885321557704], [0.0, 0.0], [0.13926425346289092, 0.04749464235015512], [0.0, 0.0], [1.7844347386471844, 0.0], [0.0, 0.0], [-0.6737270553356461, 0.0], [0.0, 0.0], [0.07321038321505731, 0.3708063950994472], [0.0, 0.0], [0.6971083775025616, 1.2074271282163416], [0.0, 0.0], [0.48917486332772725, -0.8472757170691851], [0.0, 0.0], [0.552020736799368, 0.8338303821182597], [0.0, 0.0], [0.7209774640939748, -1.2487695989229302], [0.0, 0.0], [0.2937537661848444, 0.508796447946859], [0.0, 0.0], [0.07761675589130242, 0.39312442016350807], [0.0, 0.0], [-0.05561381296115134, 0.0], [0.0, 0.0], [0.05408985685068659, 0.0], [0.0, 0.0], [0.8081812588139521, 0.27562191220660137], [0.0, 0.0], [-0.021169626854753192, -0.03666686928970706], [0.0, 0.0], [0.8360814412551218, -1.4481355355192846], [0.0, 0.0], [-0.13609940300873685, 0.05592160445848193], [0.0, 0.0], [-0.0832909609363522, 0.14426417615299664], [0.0, 0.0], [-0.07142857142857142, -0.12371791482634838], [0.0, 0.0], [-1.3432795612567032, 1.1746520151946465], [0.0, 0.0], [0.8829918773981338, 0.0], [0.0, 0.0], [-0.05896108660038319, 0.0], [0.0, 0.0], [0.5071655262574293, -0.4434988997362515], [0.0, 0.0], [-0.04845246668371516, -0.08392213404823297], [0.0, 0.0], [-0.5661727581386718, 0.9806399829575853], [0.0, 0.0], [-0.29920426851808174, -0.23094143967184083], [0.0, 0.0], [-0.06282066190777143, 0.10880857818936691], [0.0, 0.0], [-0.5236669657877334, -0.9070177909897873], [0.0, 0.0], [-1.3195877068752777, -0.4500318253197897], [0.0, 0.0], [0.19079798466610015, 0.0], [0.0, 0.0], [-1.579360430234485, 0.0], [0.0, 0.0], [0.18950288591024217, 0.9598212562130994], [0.0, 0.0], [-0.07572770075455132, -0.1311642252472549], [0.0, 0.0], [0.07075973846704703, -0.12255946215521135], [0.0, 0.0], [-0.964439143973907, -0.2643050085996812], [0.0, 0.0], [0.003473591553730845, -0.006016437055803941], [0.0, 0.0], [-0.13128114794281573, -0.22738561831292323], [0.0, 0.0], [0.2793015757036589, 1.4146464734112787], [0.0, 0.0], [1.1985474252453283, 0.0], [0.0, 0.0], [-0.322739254681486, 0.0], [0.0, 0.0], [-0.5560596762508581, -0.1896384376620728], [0.0, 0.0], [0.04956620677069452, 0.08585118846530738], [0.0, 0.0], [0.5598820379421064, -0.9697441359609342], [0.0, 0.0], [-0.317212718351504, -0.24484129929412202], [0.0, 0.0]], 'angles': [None, None, -0.09505297633294703, None, -0.38456162078972733, -0.15353824530977012, -0.07457439802421667, -0.3046830500242999, 0.03943185183837416, -0.28851322012255776, -0.03588104783404587, -0.24569514106424056, -0.08670283579813903, -0.2590871840706589, -0.42993821005037186, -0.17722398077095244, -0.09104780338962629, 0.17912158171851592, -0.49561514632361103, -0.234793653636447, -0.3948767698272381, -0.40539548545095755, -0.41611382628885724, -0.14772805879516382, -0.3220898881294037, 0.20865749040472292, -0.49601546457339163, -0.38545366281376764, -0.37066683884025564, -0.05397675441638982, -0.30031923452795733, -0.13035864074819384, -0.2888966341825938, 0.031911056081434665, 0.022507457170840264, -0.3657141692601835, -0.026795041919096912, -0.1616970783260466, -0.009007212939993563, -0.42739363334670016, -0.29047241216633946, -0.3320895128394933, 0.2190587357378133, 0.04888192387325328, -0.2086712430459679, -0.33477578405993313, -0.04246689651570043, -0.24050074397150698, -0.32172771565249253, 0.00813167458792068, -0.22851573659044963, -0.46564333316538775, 0.2137990996040179, -0.22985319818727262, -0.08586257908339845, -0.401299324346835, -0.2702631844048822, -0.3147223065196038, -0.41334139060582664, 0.2901165718800847, -0.014365714176163214, -0.16430994451655945, -0.10976115698569414, 0.0325748080448292, -0.4133865281811584, 0.27801597043967713, -0.3730795171188525, -0.048952029122978385, -0.011289204599670609, -0.4013748359516369, -0.329301444833846, -0.32312125253750607, 0.25382483179274085, 0.09180707116009769, -0.17309121727952695, -0.041896169971125274, -0.41089382347769804, -0.29261601579432756, -0.08972545000918598, -0.47203874427007986, -0.09897753865051694, -0.4371568424991225, -0.320235028641695, -0.26827549819801855, 0.24951761521345103, -0.47718734650221833, -0.30924687231294257, -0.38129454782938055, 0.2749125880968081, -0.4981746100871599, -0.33067009354709875, -0.36751636990636904, -0.4190702312646123, -0.05983582113935878, -0.4725277044324198, -0.1908855074482789, -0.4836074533639604, -0.2770643601192074, -0.31043893937653816, -0.1718498791017138], 'char_orbit_index': 18, 'conrey_index': 169, 'dual_conrey_index': 337, 'dual_embedding_index': 1, 'dual_embedding_m': 5, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': -1.6992483737169188, 'embedding_root_real': 0.33549212273972456, 'hecke_orbit': 5, 'hecke_orbit_code': 18015566774141432, 'label': '504.2.r.e.169.1', 'level': 504, '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': 2016, 'analytic_conductor': 4.024460261872531, 'char_conductor': 9, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 3, 'char_parity': 1, 'char_values': [504, 3, [127, 253, 281, 73], [3, 3, 2, 3]], 'conrey_index': 169, 'cusp_dim': 176, 'dim': 36, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 1168264659448, 'hecke_orbit_dims': [2, 2, 6, 8, 8, 10], 'label': '504.2.r', 'level': 504, '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, 3, 7], 'level_radical': 42, 'mf_dim': 208, 'mf_new_dim': 36, 'num_forms': 6, 'prim_orbit_index': 3, 'relative_dim': 18, 'sturm_bound': 192, 'trace_bound': 3, 'trace_display': [0, -2, 0, 0], 'traces': [36, 0, -2, 0, 0, 0, 0, 0, 6, 0, 14, 0, 0, 0, 20, 0, 12, 0, -12, 0, 0, 0, 4, 0, -18, 0, -20, 0, -12, 0, 0, 0, -18, 0, -24, 0, 0, 0, -28, 0, -6, 0, 6, 0, 36, 0, -12, 0, -18, 0, 38, 0, 48, 0, 0, 0, 30, 0, 14, 0, 0, 0, -4, 0, -16, 0, 6, 0, -16, 0, 24, 0, 36, 0, -22, 0, -8, 0, 0, 0, 6, 0, 16, 0, -24, 0, 40, 0, -48, 0, 0, 0, -44, 0, 12, 0, -42, 0, 36, 0, 16, 0, -36, 0, 12, 0, -76, 0, 0, 0, -80, 0, 4, 0, -36, 0, 8, 0, 0, 0, -36, 0, 12, 0, 24, 0, -24, 0, -50, 0, -28, 0, 0, 0, -40, 0, 2, 0, 6, 0, 12, 0, 16, 0, 48, 0, 4, 0, -24, 0, 12, 0, -14, 0, -4, 0, 0, 0, 52, 0, 32, 0, 144, 0, -96, 0, -24, 0, -18, 0, -94, 0, 28, 0, 12, 0, 32, 0, -136, 0, 48, 0, -96, 0, 16, 0, -30, 0, 12, 0, -36, 0, -30, 0, 16, 0, -160, 0, 72, 0, 84, 0, 24, 0, -12, 0, 24, 0, -14, 0, -36, 0, 8, 0, 232, 0, 0, 0, 90, 0, -36, 0, 0, 0, -108, 0, 22, 0, 0, 0, 0, 0, 44, 0, 0, 0, -36, 0, -52, 0, -18, 0, 118, 0, 0, 0, 12, 0, 80, 0, 124, 0, 24, 0, 52, 0, 66, 0, 0, 0, 92, 0, 8, 0, 36, 0, -40, 0, 72, 0, 48, 0, -32, 0, 94, 0, 12, 0, 168, 0, 48, 0, -36, 0, 96, 0, 0, 0, 96, 0, 106, 0, 100, 0, -48, 0, 102, 0, -68, 0, 0, 0, -28, 0, 104, 0, -12, 0, 12, 0, -16, 0, -18, 0, -20, 0, -4, 0, -60, 0, 86, 0, 108, 0, -216, 0, -180, 0, -24, 0, -72, 0, 16, 0, 4, 0, -42, 0, -28, 0, -224, 0, 0, 0, -152, 0, 26, 0, 72, 0, 32, 0, -70, 0, -36, 0, 8, 0, -48, 0, 0, 0, -20, 0, 4, 0, 0, 0, -286, 0, 48, 0, 72, 0, -60, 0, -240, 0, 84, 0, -160, 0, -92, 0, -12, 0, -100, 0, -28, 0, -24, 0, 16, 0, -128, 0, 72, 0, 64, 0, -34, 0, -12, 0, 36, 0, -124, 0, -18, 0, -30, 0, 40, 0, 48, 0, -116, 0, -88, 0, -36, 0, 40, 0, 162, 0, -12, 0, 48, 0, -104, 0, 36, 0, -112, 0, -64, 0, -24, 0, 6, 0, 106, 0, 24, 0, -52, 0, 12, 0, -12, 0, 184, 0, 4, 0, 18, 0, -136, 0, -60, 0, 72, 0, 128, 0, 212, 0, 0, 0, 112, 0, -86, 0, 114, 0, -76, 0, 108, 0, 12, 0, -24, 0, 184, 0, -24, 0, 144, 0, 18, 0, 108, 0, 168, 0, -36, 0, -6, 0, -64, 0, -272, 0, 72, 0, 70, 0, 136, 0, -36, 0, -24, 0, 52, 0, -24, 0, 80, 0, 132, 0, -72, 0, -24, 0, 0, 0, -78, 0, -46, 0, 116, 0, 0, 0, -224, 0, -28, 0, -72, 0, 184, 0, -36, 0, -6, 0, 104, 0, -108, 0, -36, 0, -148, 0, 296, 0, -96, 0, 234, 0, 74, 0, -60, 0, -112, 0, -118, 0, 6, 0, -36, 0, 152, 0, 12, 0, -288, 0, -40, 0, -36, 0, 268, 0, -150, 0, 36, 0, -112, 0, -176, 0, 0, 0, -44, 0, 144, 0, 30, 0, 162, 0, -88, 0, 0, 0, -8, 0, -392, 0, -96, 0, -192, 0, 178, 0, 42, 0, -268, 0, 12, 0, -54, 0, 150, 0, -72, 0, 48, 0, 28, 0, -164, 0, 0, 0, -244, 0, -122, 0, 6, 0, -28, 0, -72, 0, -276, 0, 48, 0, -164, 0, 84, 0, 50, 0, 36, 0, 36, 0, 204, 0, 72, 0, -96, 0, -160, 0, 84, 0, 96, 0, -118, 0, 200, 0, 0, 0, -98, 0, -68, 0, -168, 0, -20, 0, -144, 0, 24, 0, 96, 0, 40, 0, 114, 0, 118, 0, -80, 0, 48, 0, 420, 0, 56, 0, 0, 0, -88, 0, 76, 0, 96, 0, -68, 0, 168, 0, 0, 0, 114, 0, -48, 0, -24, 0, -120, 0, 42, 0, -60, 0, 8, 0, 172, 0, -60, 0, 4, 0, -92, 0, -60, 0, 320, 0, -56, 0, -12, 0, -30, 0, 448, 0, 0, 0, 204, 0, 156, 0, 0, 0, 92, 0, 200, 0, 84, 0, 40, 0, 88, 0, -48, 0, -100, 0, 174, 0, 84, 0, 232, 0, 32, 0, 24, 0, -76, 0, -40, 0, 216, 0, 224, 0, 72, 0, 0, 0, -8, 0, -214, 0, 36, 0, 140, 0, 132, 0, -84, 0, 312, 0, 152, 0, 90, 0, -20, 0, -184, 0, 36, 0, -96, 0, 40, 0, 192, 0, -264, 0, -6, 0, 60, 0, 244, 0, 96, 0, 6, 0, -12, 0, -312, 0, 0, 0, -140, 0, 44, 0, 48, 0, -164, 0, -20, 0, 78, 0, 16, 0, 24, 0, 144, 0, -144, 0, 56, 0, -24, 0, -252, 0, 96, 0, 72, 0, -224, 0, -48, 0, 60, 0, 4, 0, -220, 0, 24, 0, -30, 0, -228, 0, 252, 0, -176, 0, 0, 0, 48, 0, 124, 0, -112, 0, 210, 0, -88, 0, -144, 0, -60, 0, 36, 0, 40, 0, 48, 0, -342, 0, -212, 0, -96, 0, -168, 0, 244, 0, 6, 0, -36, 0, -552, 0, -240, 0, -110, 0, -20, 0, 108, 0, 60, 0, 82, 0, 72, 0, -316, 0, -268, 0, -552, 0, 396, 0, 16, 0, -6, 0, -166, 0, 200, 0, -120, 0, -70, 0, 344, 0, 24, 0, 508, 0, -174, 0, -60, 0, -100, 0, 256, 0, -48, 0, -64, 0, -24, 0, -312, 0, 156, 0, -132, 0, -24, 0, 196, 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: 44567975
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 169, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015566774141432, 'source_is_minimal': True, 'source_label': '504.2.r.e.169.1', 'source_level': 504, 'target_conrey_index': 169, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18015566774141432, 'target_is_minimal': True, 'target_label': '504.2.r.e.169.1', 'target_level': 504, 'twist_class_label': '504.2.r.e.169.1', 'twist_class_level': 504, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 44567976
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 169, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015566774141432, 'source_is_minimal': True, 'source_label': '504.2.r.e.169.1', 'source_level': 504, 'target_conrey_index': 505, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18015566774142440, 'target_is_minimal': False, 'target_label': '1512.2.r.e.505.2', 'target_level': 1512, 'twist_class_label': '504.2.r.e.169.1', 'twist_class_level': 504, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 44567977
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 169, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015566774141432, 'source_is_minimal': True, 'source_label': '504.2.r.e.169.1', 'source_level': 504, 'target_conrey_index': 673, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 49540764165735408, 'target_is_minimal': False, 'target_label': '1008.2.r.l.673.4', 'target_level': 1008, 'twist_class_label': '504.2.r.e.169.1', 'twist_class_level': 504, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 44567978
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 169, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015566774141432, 'source_is_minimal': True, 'source_label': '504.2.r.e.169.1', 'source_level': 504, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 108086391090450872, 'target_is_minimal': False, 'target_label': '4536.2.a.y.1.3', 'target_level': 4536, 'twist_class_label': '504.2.r.e.169.1', 'twist_class_level': 504, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 44567979
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 169, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015566774141432, 'source_is_minimal': True, 'source_label': '504.2.r.e.169.1', 'source_level': 504, 'target_conrey_index': 337, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18015566774141432, 'target_is_minimal': True, 'target_label': '504.2.r.e.337.1', 'target_level': 504, 'twist_class_label': '504.2.r.e.169.1', 'twist_class_level': 504, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 44567980
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 169, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015566774141432, 'source_is_minimal': True, 'source_label': '504.2.r.e.169.1', 'source_level': 504, 'target_conrey_index': 1009, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18015566774142440, 'target_is_minimal': False, 'target_label': '1512.2.r.e.1009.2', 'target_level': 1512, 'twist_class_label': '504.2.r.e.169.1', 'twist_class_level': 504, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 44567981
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 169, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015566774141432, 'source_is_minimal': True, 'source_label': '504.2.r.e.169.1', 'source_level': 504, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 112589990717821368, 'target_is_minimal': False, 'target_label': '4536.2.a.z.1.2', 'target_level': 4536, 'twist_class_label': '504.2.r.e.169.1', 'twist_class_level': 504, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 44567982
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 169, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015566774141432, 'source_is_minimal': True, 'source_label': '504.2.r.e.169.1', 'source_level': 504, 'target_conrey_index': 2017, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 54044363793107920, 'target_is_minimal': False, 'target_label': '3024.2.r.m.2017.2', 'target_level': 3024, 'twist_class_label': '504.2.r.e.169.1', 'twist_class_level': 504, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 44567983
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 169, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015566774141432, 'source_is_minimal': True, 'source_label': '504.2.r.e.169.1', 'source_level': 504, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 274719577303163760, 'target_is_minimal': False, 'target_label': '9072.2.a.cj.1.2', 'target_level': 9072, 'twist_class_label': '504.2.r.e.169.1', 'twist_class_level': 504, 'twisting_char_label': '36.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 44567984
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 169, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015566774141432, 'source_is_minimal': True, 'source_label': '504.2.r.e.169.1', 'source_level': 504, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 261208778421052272, 'target_is_minimal': False, 'target_label': '9072.2.a.cg.1.3', 'target_level': 9072, 'twist_class_label': '504.2.r.e.169.1', 'twist_class_level': 504, 'twisting_char_label': '36.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 44567985
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 169, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015566774141432, 'source_is_minimal': True, 'source_label': '504.2.r.e.169.1', 'source_level': 504, 'target_conrey_index': 1009, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 54044363793107920, 'target_is_minimal': False, 'target_label': '3024.2.r.m.1009.2', 'target_level': 3024, 'twist_class_label': '504.2.r.e.169.1', 'twist_class_level': 504, 'twisting_char_label': '36.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 44567986
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 169, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015566774141432, 'source_is_minimal': True, 'source_label': '504.2.r.e.169.1', 'source_level': 504, 'target_conrey_index': 337, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 49540764165735408, 'target_is_minimal': False, 'target_label': '1008.2.r.l.337.4', 'target_level': 1008, 'twist_class_label': '504.2.r.e.169.1', 'twist_class_level': 504, 'twisting_char_label': '36.31', 'twisting_conrey_index': 31, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 974625
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 18015566774141432, 'p': 2}
  • id: 974626
    {'charpoly_factorization': [[[81, 27, 9, -9, 3, -3, 1, 1, 1], 1]], 'hecke_orbit_code': 18015566774141432, 'p': 3}
  • id: 974627
    {'charpoly_factorization': [[[4, 18, 65, 84, 93, -6, 17, 3, 1], 1]], 'hecke_orbit_code': 18015566774141432, 'p': 5}
  • id: 974628
    {'charpoly_factorization': [[[1, -1, 1], 4]], 'hecke_orbit_code': 18015566774141432, 'p': 7}
  • id: 974629
    {'charpoly_factorization': [[[225, -180, 249, -126, 148, -73, 42, -7, 1], 1]], 'hecke_orbit_code': 18015566774141432, 'p': 11}
  • id: 974630
    {'charpoly_factorization': [[[100, 270, 839, -237, 192, -21, 20, -3, 1], 1]], 'hecke_orbit_code': 18015566774141432, 'p': 13}
  • id: 974631
    {'charpoly_factorization': [[[-9, -36, -27, -3, 1], 2]], 'hecke_orbit_code': 18015566774141432, 'p': 17}
  • id: 974632
    {'charpoly_factorization': [[[157, -35, -27, 4, 1], 2]], 'hecke_orbit_code': 18015566774141432, 'p': 19}
  • id: 974633
    {'charpoly_factorization': [[[1296, -756, 1485, 753, 763, 100, 33, -2, 1], 1]], 'hecke_orbit_code': 18015566774141432, 'p': 23}
  • id: 974634
    {'charpoly_factorization': [[[944784, 498636, 216513, 42120, 7893, 594, 129, 9, 1], 1]], 'hecke_orbit_code': 18015566774141432, 'p': 29}
  • id: 974635
    {'charpoly_factorization': [[[481636, 18738, 52085, 2166, 4863, 168, 83, -3, 1], 1]], 'hecke_orbit_code': 18015566774141432, 'p': 31}
  • id: 974636
    {'charpoly_factorization': [[[-2, 9, -8, -3, 1], 2]], 'hecke_orbit_code': 18015566774141432, 'p': 37}
  • id: 974637
    {'charpoly_factorization': [[[11881, 42510, 157223, -16368, 5610, -357, 128, -9, 1], 1]], 'hecke_orbit_code': 18015566774141432, 'p': 41}
  • id: 974638
    {'charpoly_factorization': [[[9, 81, 834, -897, 1438, 226, 99, -8, 1], 1]], 'hecke_orbit_code': 18015566774141432, 'p': 43}
  • id: 974639
    {'charpoly_factorization': [[[64, 360, 1721, 1662, 1317, 204, 47, -3, 1], 1]], 'hecke_orbit_code': 18015566774141432, 'p': 47}
  • id: 974640
    {'charpoly_factorization': [[[4068, 333, -153, -6, 1], 2]], 'hecke_orbit_code': 18015566774141432, 'p': 53}
  • id: 974641
    {'charpoly_factorization': [[[19881, 20727, 30774, -6735, 5554, 356, 165, -10, 1], 1]], 'hecke_orbit_code': 18015566774141432, 'p': 59}
  • id: 974642
    {'charpoly_factorization': [[[34152336, -9064044, 2376381, -241515, 36889, -3002, 405, -20, 1], 1]], 'hecke_orbit_code': 18015566774141432, 'p': 61}
  • id: 974643
    {'charpoly_factorization': [[[1265625, -843750, 489375, -73500, 13600, -785, 186, -11, 1], 1]], 'hecke_orbit_code': 18015566774141432, 'p': 67}
  • id: 974644
    {'charpoly_factorization': [[[16, -9, -8, 3, 1], 2]], 'hecke_orbit_code': 18015566774141432, 'p': 71}
  • id: 974645
    {'charpoly_factorization': [[[-2897, -333, 133, 24, 1], 2]], 'hecke_orbit_code': 18015566774141432, 'p': 73}
  • id: 974646
    {'charpoly_factorization': [[[3928324, -3204894, 2598833, -96180, 36003, -3066, 449, -21, 1], 1]], 'hecke_orbit_code': 18015566774141432, 'p': 79}
  • id: 974647
    {'charpoly_factorization': [[[64, -1016, 16057, -1271, 1105, -182, 73, -8, 1], 1]], 'hecke_orbit_code': 18015566774141432, 'p': 83}
  • id: 974648
    {'charpoly_factorization': [[[1674, 225, -93, -6, 1], 2]], 'hecke_orbit_code': 18015566774141432, 'p': 89}
  • id: 974649
    {'charpoly_factorization': [[[145161, -62865, 43608, -5097, 4870, -1018, 213, -16, 1], 1]], 'hecke_orbit_code': 18015566774141432, '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': 18, 'hecke_orbit': 5, 'label': '504.2.r.e', 'level': 504, '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

  
  Showing the first 100 of 258 matching records in this table.
  • id: 41525851
    {'hecke_orbit_code': 18015566774141432, 'n': 1, 'trace_an': 8}
  • id: 41525852
    {'hecke_orbit_code': 18015566774141432, 'n': 2, 'trace_an': 0}
  • id: 41525853
    {'hecke_orbit_code': 18015566774141432, 'n': 3, 'trace_an': -1}
  • id: 41525854
    {'hecke_orbit_code': 18015566774141432, 'n': 4, 'trace_an': 0}
  • id: 41525855
    {'hecke_orbit_code': 18015566774141432, 'n': 5, 'trace_an': -3}
  • id: 41525856
    {'hecke_orbit_code': 18015566774141432, 'n': 6, 'trace_an': 0}
  • id: 41525857
    {'hecke_orbit_code': 18015566774141432, 'n': 7, 'trace_an': 4}
  • id: 41525858
    {'hecke_orbit_code': 18015566774141432, 'n': 8, 'trace_an': 0}
  • id: 41525859
    {'hecke_orbit_code': 18015566774141432, 'n': 9, 'trace_an': -1}
  • id: 41525860
    {'hecke_orbit_code': 18015566774141432, 'n': 10, 'trace_an': 0}
  • id: 41525861
    {'hecke_orbit_code': 18015566774141432, 'n': 11, 'trace_an': 7}
  • id: 41525862
    {'hecke_orbit_code': 18015566774141432, 'n': 12, 'trace_an': 0}
  • id: 41525863
    {'hecke_orbit_code': 18015566774141432, 'n': 13, 'trace_an': 3}
  • id: 41525864
    {'hecke_orbit_code': 18015566774141432, 'n': 14, 'trace_an': 0}
  • id: 41525865
    {'hecke_orbit_code': 18015566774141432, 'n': 15, 'trace_an': -11}
  • id: 41525866
    {'hecke_orbit_code': 18015566774141432, 'n': 16, 'trace_an': 0}
  • id: 41525867
    {'hecke_orbit_code': 18015566774141432, 'n': 17, 'trace_an': 6}
  • id: 41525868
    {'hecke_orbit_code': 18015566774141432, 'n': 18, 'trace_an': 0}
  • id: 41525869
    {'hecke_orbit_code': 18015566774141432, 'n': 19, 'trace_an': -8}
  • id: 41525870
    {'hecke_orbit_code': 18015566774141432, 'n': 20, 'trace_an': 0}
  • id: 41525871
    {'hecke_orbit_code': 18015566774141432, 'n': 21, 'trace_an': 1}
  • id: 41525872
    {'hecke_orbit_code': 18015566774141432, 'n': 22, 'trace_an': 0}
  • id: 41525873
    {'hecke_orbit_code': 18015566774141432, 'n': 23, 'trace_an': 2}
  • id: 41525874
    {'hecke_orbit_code': 18015566774141432, 'n': 24, 'trace_an': 0}
  • id: 41525875
    {'hecke_orbit_code': 18015566774141432, 'n': 25, 'trace_an': -5}
  • id: 41525876
    {'hecke_orbit_code': 18015566774141432, 'n': 26, 'trace_an': 0}
  • id: 41525877
    {'hecke_orbit_code': 18015566774141432, 'n': 27, 'trace_an': 11}
  • id: 41525878
    {'hecke_orbit_code': 18015566774141432, 'n': 28, 'trace_an': 0}
  • id: 41525879
    {'hecke_orbit_code': 18015566774141432, 'n': 29, 'trace_an': -9}
  • id: 41525880
    {'hecke_orbit_code': 18015566774141432, 'n': 30, 'trace_an': 0}
  • id: 41525881
    {'hecke_orbit_code': 18015566774141432, 'n': 31, 'trace_an': 3}
  • id: 41525882
    {'hecke_orbit_code': 18015566774141432, 'n': 32, 'trace_an': 0}
  • id: 41525883
    {'hecke_orbit_code': 18015566774141432, 'n': 33, 'trace_an': -21}
  • id: 41525884
    {'hecke_orbit_code': 18015566774141432, 'n': 34, 'trace_an': 0}
  • id: 41525885
    {'hecke_orbit_code': 18015566774141432, 'n': 35, 'trace_an': -6}
  • id: 41525886
    {'hecke_orbit_code': 18015566774141432, 'n': 36, 'trace_an': 0}
  • id: 41525887
    {'hecke_orbit_code': 18015566774141432, 'n': 37, 'trace_an': 6}
  • id: 41525888
    {'hecke_orbit_code': 18015566774141432, 'n': 38, 'trace_an': 0}
  • id: 41525889
    {'hecke_orbit_code': 18015566774141432, 'n': 39, 'trace_an': 2}
  • id: 41525890
    {'hecke_orbit_code': 18015566774141432, 'n': 40, 'trace_an': 0}
  • id: 41525891
    {'hecke_orbit_code': 18015566774141432, 'n': 41, 'trace_an': 9}
  • id: 41525892
    {'hecke_orbit_code': 18015566774141432, 'n': 42, 'trace_an': 0}
  • id: 41525893
    {'hecke_orbit_code': 18015566774141432, 'n': 43, 'trace_an': 8}
  • id: 41525894
    {'hecke_orbit_code': 18015566774141432, 'n': 44, 'trace_an': 0}
  • id: 41525895
    {'hecke_orbit_code': 18015566774141432, 'n': 45, 'trace_an': 7}
  • id: 41525896
    {'hecke_orbit_code': 18015566774141432, 'n': 46, 'trace_an': 0}
  • id: 41525897
    {'hecke_orbit_code': 18015566774141432, 'n': 47, 'trace_an': 3}
  • id: 41525898
    {'hecke_orbit_code': 18015566774141432, 'n': 48, 'trace_an': 0}
  • id: 41525899
    {'hecke_orbit_code': 18015566774141432, 'n': 49, 'trace_an': -4}
  • id: 41525900
    {'hecke_orbit_code': 18015566774141432, 'n': 50, 'trace_an': 0}
  • id: 41525901
    {'hecke_orbit_code': 18015566774141432, 'n': 51, 'trace_an': -18}
  • id: 41525902
    {'hecke_orbit_code': 18015566774141432, 'n': 52, 'trace_an': 0}
  • id: 41525903
    {'hecke_orbit_code': 18015566774141432, 'n': 53, 'trace_an': 12}
  • id: 41525904
    {'hecke_orbit_code': 18015566774141432, 'n': 54, 'trace_an': 0}
  • id: 41525905
    {'hecke_orbit_code': 18015566774141432, 'n': 55, 'trace_an': -56}
  • id: 41525906
    {'hecke_orbit_code': 18015566774141432, 'n': 56, 'trace_an': 0}
  • id: 41525907
    {'hecke_orbit_code': 18015566774141432, 'n': 57, 'trace_an': 34}
  • id: 41525908
    {'hecke_orbit_code': 18015566774141432, 'n': 58, 'trace_an': 0}
  • id: 41525909
    {'hecke_orbit_code': 18015566774141432, 'n': 59, 'trace_an': 10}
  • id: 41525910
    {'hecke_orbit_code': 18015566774141432, 'n': 60, 'trace_an': 0}
  • id: 41525911
    {'hecke_orbit_code': 18015566774141432, 'n': 61, 'trace_an': 20}
  • id: 41525912
    {'hecke_orbit_code': 18015566774141432, 'n': 62, 'trace_an': 0}
  • id: 41525913
    {'hecke_orbit_code': 18015566774141432, 'n': 63, 'trace_an': -2}
  • id: 41525914
    {'hecke_orbit_code': 18015566774141432, 'n': 64, 'trace_an': 0}
  • id: 41525915
    {'hecke_orbit_code': 18015566774141432, 'n': 65, 'trace_an': 1}
  • id: 41525916
    {'hecke_orbit_code': 18015566774141432, 'n': 66, 'trace_an': 0}
  • id: 41525917
    {'hecke_orbit_code': 18015566774141432, 'n': 67, 'trace_an': 11}
  • id: 41525918
    {'hecke_orbit_code': 18015566774141432, 'n': 68, 'trace_an': 0}
  • id: 41525919
    {'hecke_orbit_code': 18015566774141432, 'n': 69, 'trace_an': -17}
  • id: 41525920
    {'hecke_orbit_code': 18015566774141432, 'n': 70, 'trace_an': 0}
  • id: 41525921
    {'hecke_orbit_code': 18015566774141432, 'n': 71, 'trace_an': -6}
  • id: 41525922
    {'hecke_orbit_code': 18015566774141432, 'n': 72, 'trace_an': 0}
  • id: 41525923
    {'hecke_orbit_code': 18015566774141432, 'n': 73, 'trace_an': -48}
  • id: 41525924
    {'hecke_orbit_code': 18015566774141432, 'n': 74, 'trace_an': 0}
  • id: 41525925
    {'hecke_orbit_code': 18015566774141432, 'n': 75, 'trace_an': 52}
  • id: 41525926
    {'hecke_orbit_code': 18015566774141432, 'n': 76, 'trace_an': 0}
  • id: 41525927
    {'hecke_orbit_code': 18015566774141432, 'n': 77, 'trace_an': -7}
  • id: 41525928
    {'hecke_orbit_code': 18015566774141432, 'n': 78, 'trace_an': 0}
  • id: 41525929
    {'hecke_orbit_code': 18015566774141432, 'n': 79, 'trace_an': 21}
  • id: 41525930
    {'hecke_orbit_code': 18015566774141432, 'n': 80, 'trace_an': 0}
  • id: 41525931
    {'hecke_orbit_code': 18015566774141432, 'n': 81, 'trace_an': -25}
  • id: 41525932
    {'hecke_orbit_code': 18015566774141432, 'n': 82, 'trace_an': 0}
  • id: 41525933
    {'hecke_orbit_code': 18015566774141432, 'n': 83, 'trace_an': 8}
  • id: 41525934
    {'hecke_orbit_code': 18015566774141432, 'n': 84, 'trace_an': 0}
  • id: 41525935
    {'hecke_orbit_code': 18015566774141432, 'n': 85, 'trace_an': 9}
  • id: 41525936
    {'hecke_orbit_code': 18015566774141432, 'n': 86, 'trace_an': 0}
  • id: 41525937
    {'hecke_orbit_code': 18015566774141432, 'n': 87, 'trace_an': -15}
  • id: 41525938
    {'hecke_orbit_code': 18015566774141432, 'n': 88, 'trace_an': 0}
  • id: 41525939
    {'hecke_orbit_code': 18015566774141432, 'n': 89, 'trace_an': 12}
  • id: 41525940
    {'hecke_orbit_code': 18015566774141432, 'n': 90, 'trace_an': 0}
  • id: 41525941
    {'hecke_orbit_code': 18015566774141432, 'n': 91, 'trace_an': 6}
  • id: 41525942
    {'hecke_orbit_code': 18015566774141432, 'n': 92, 'trace_an': 0}
  • id: 41525943
    {'hecke_orbit_code': 18015566774141432, 'n': 93, 'trace_an': 29}
  • id: 41525944
    {'hecke_orbit_code': 18015566774141432, 'n': 94, 'trace_an': 0}
  • id: 41525945
    {'hecke_orbit_code': 18015566774141432, 'n': 95, 'trace_an': 36}
  • id: 41525946
    {'hecke_orbit_code': 18015566774141432, 'n': 96, 'trace_an': 0}
  • id: 41525947
    {'hecke_orbit_code': 18015566774141432, 'n': 97, 'trace_an': 16}
  • id: 41525948
    {'hecke_orbit_code': 18015566774141432, 'n': 98, 'trace_an': 0}
  • id: 41525949
    {'hecke_orbit_code': 18015566774141432, 'n': 99, 'trace_an': 18}
  • id: 41525950
    {'hecke_orbit_code': 18015566774141432, 'n': 100, 'trace_an': 0}