Newform data - 175.10.a.d

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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': 17500, 'analytic_conductor': 90.1312713286778, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[5, 1], [7, 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': [175, 1, [127, 101], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 5976345, 'field_disc_factorization': [[3, 1], [5, 1], [398423, 1]], 'field_poly': [2016, -426, -1, 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': [[2, [-19080, -1326, 21, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510799049883823, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 6, 'hecke_ring_index_factorization': [[2, 1], [3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '175.10.a.d', 'level': 175, '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': [5, 7], 'level_radical': 35, 'minimal_twist': '7.10.a.b', 'prim_orbit_index': 1, 'qexp_display': 'q+(-7+\\beta _{2})q^{2}+(-28+\\beta _{1}+\\beta _{2})q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '175.10.a', 'trace_display': [-21, -84, 0, -7203], 'trace_hash': 2271978734856442200, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.824', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '21.170', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '232.634', 'prec': 24}], 'trace_zratio': 0, 'traces': [3, -21, -84, 1557, 0, 4914, -7203, -14055, -26001, 0, -3444, 106386, 19782, 50421, 0, 482961, -1016694, 273267, 222852, 0, 201684, 2847048, -1885632, -1449630, 0, -8785056, -551880, -3738357, 4081818, 0, 2869440, -25221951, 20259792, -3981642, 0, -35396379, -1395618, -43479870, -8990688, 0, -14420658, -11798514, 61631172, 97011984, 0, 89747664, 10368960, -16798782, 17294403, 0, -26146728, 80908044, -67502610, -117879300, 0, 33746055, -8471112, 159163830, -42590100, 0, 191746842, 46983468, 62428401, 7852161, 0, -8057952, 255175788, -743485806, 257903856, 0, 296514504, 609314265, -344213310, -690696462, 0, 728839986, 8269044, -280132776, -960412656, 0, -35827677, -562675302, 1100517180, -255432786, 0, -880982256, 621821592, -1206124800, 506816478, 0, -47496582, -691123488, -1693258512, 1388004828, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
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[45702593452460, -14454576681874, -35559433326682], [361528676057920, 15130134646508, 22638760147388], [-543691594145238, 6599078628953, -56209891673055], [1659229895079932, -507251321625, 29652446751495], [53691806197750, -12490620494856, 43228782572088], [2221542856861022, -511455304640, 21625197766480], [-949217003452144, -7834486702342, 14123089793450], [-1361288238897370, -501249429156, 5387534372940], [-1214409656795370, -5081788626348, 27237996715524], [145308159105536, 1322270796050, 6529894979266], [-358413264914796, -20889627865051, 28707985584837], [-400219113681170, -377342423360, -22256326684192], [1001023866053216, 15697327447816, -7109422290320], [-189547371275334, -2842403234132, 66647142885484], [1778367288401578, -2384075202396, -22530517784284], [621619478079432, 14710368374380, -28922825155020], [-1160417680968476, -10107597184860, 44266979294684], [610514817745252, -14765135132733, 9331963099635], [1158067755684238, 8604763126050, 27782304334842], [516324478596290, 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[-4048935329992266, -11040726915667, 1269516914469], [-3019644225854872, 7440829266438, -15521686763274], [239250744260626, -8418764239368, -82652223348456], [2024471406771802, -12215828613730, -108321744026650], [-2263233536401964, 27339884874597, -138168134962395], [2019561220283068, -14520382627281, -18693391310257], [1829780004317342, -5275024866532, -88726658209204], [2052768027011114, -3444395458854, -99120758813558], [-438124835036100, 2872233779982, 64569843492294], [-3768855264588148, -13546154488608, 1460307167640], [984324226801494, 2511855179008, 83467641218752], [-807204898545234, -21427198193855, 64354042350249], [1318455868050720, 46312932546748, 15198484595580], [-4028321665528216, 17339952245834, -10372992749398], [-2682931218955554, 1443497143242, 83134891779114], [2982210521595256, -15607053806660, 51621449469260], [-373818079515314, -266320884914, -119098186932754], [-2801886284917958, -9046469188023, 27702784418385], [-440201764900816, -16228753508408, -55527004915928], [-325664267616604, -13730303780417, -90005858881169], [-3039284809589210, -21109695219354, -13853674598106], [-1905594136222574, 33831968383977, -4499283977551], [2040581949081620, 5864673733926, -86263159298546], [2029869721179162, -844193186424, -106578285739128], [-2006398765600124, -8396939733281, -26647863375281], [-2469302109012536, 7728585028114, 24708957244754]], 'char_orbit_index': 1, 'field_poly': [2016, -426, -1, 1], 'hecke_orbit_code': 13510799049883823, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 6, 6], 'hecke_ring_inverse_denominators': [1, 6, 6], 'hecke_ring_inverse_numerators': [[1, 0, 0], [2, 1, 1], [1706, -11, 25]], 'hecke_ring_numerators': [[1, 0, 0], [276, 25, -1], [-288, 11, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 3, 'label': '175.10.a.d', 'level': 175, 'maxp': 2999, 'weight': 10}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_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': [19, 22, 23, 21], 'Nk2': 17500, 'analytic_conductor': 90.1312713286778, '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': [175, 1, [127, 101], [1, 1]], 'conrey_index': 1, 'cusp_dim': 174, 'dim': 85, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 167772335, 'hecke_orbit_dims': [1, 2, 2, 3, 4, 5, 6, 8, 8, 10, 10, 13, 13], 'label': '175.10.a', 'level': 175, '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': [5, 7], 'level_radical': 35, 'mf_dim': 186, 'mf_new_dim': 85, 'num_forms': 13, 'plus_dim': 40, 'prim_orbit_index': 1, 'relative_dim': 85, 'sturm_bound': 200, 'trace_bound': 2, 'trace_display': [-17, 294, 0, 2401], 'traces': [85, -17, 294, 22273, 0, -11386, 2401, -7905, 522233, 0, -54432, 480838, 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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: 146923
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '175.10.a.d', 'source_level': 175, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '7.10.a.b', 'target_level': 7, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 10}
  • id: 146924
    {'conductor': 35, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '175.10.a.d', 'source_level': 175, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '49.10.a.c', 'target_level': 49, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '35.c', 'twisting_char_orbit': 3, 'weight': 10}
  • id: 146925
    {'conductor': 35, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '175.10.a.d', 'source_level': 175, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '49.10.c.d', 'target_level': 49, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '35.j', 'twisting_char_orbit': 10, 'weight': 10}
  • id: 146926
    {'conductor': 35, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '175.10.a.d', 'source_level': 175, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '49.10.c.e', 'target_level': 49, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '35.i', 'twisting_char_orbit': 9, 'weight': 10}
  • id: 146927
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '175.10.a.d', 'source_level': 175, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '63.10.a.e', 'target_level': 63, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 10}
  • id: 146928
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '175.10.a.d', 'source_level': 175, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '112.10.a.h', 'target_level': 112, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 10}
  • id: 146929
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '175.10.a.d', 'source_level': 175, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '175.10.a.d', 'target_level': 175, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 10}
  • id: 146930
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '175.10.a.d', 'source_level': 175, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '175.10.b.d', 'target_level': 175, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 451350
    {'charpoly_factorization': [[[-19080, -1326, 21, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 2}
  • id: 451351
    {'charpoly_factorization': [[[-3024, -12996, 84, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 3}
  • id: 451352
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13510799049883823, 'p': 5}
  • id: 451353
    {'charpoly_factorization': [[[2401, 1], 3]], 'hecke_orbit_code': 13510799049883823, 'p': 7}
  • id: 451354
    {'charpoly_factorization': [[[108859759460352, -6618499968, 3444, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 11}
  • id: 451355
    {'charpoly_factorization': [[[41548412541440, -12931283064, -19782, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 13}
  • id: 451356
    {'charpoly_factorization': [[[21973894921381032, 293494511292, 1016694, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 17}
  • id: 451357
    {'charpoly_factorization': [[[-43011870587515760, -353981719620, -222852, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 19}
  • id: 451358
    {'charpoly_factorization': [[[-974648214470209536, 14194696128, 1885632, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 23}
  • id: 451359
    {'charpoly_factorization': [[[4423213168251517800, -4782422143620, -4081818, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 29}
  • id: 451360
    {'charpoly_factorization': [[[-74172820551747190784, -58176366315792, -2869440, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 31}
  • id: 451361
    {'charpoly_factorization': [[[345369799719000886328, -127209247191204, 1395618, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 37}
  • id: 451362
    {'charpoly_factorization': [[[-1983508183225662258312, -217166148381924, 14420658, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 41}
  • id: 451363
    {'charpoly_factorization': [[[-6883868434203007924480, 1179825167354496, -61631172, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 43}
  • id: 451364
    {'charpoly_factorization': [[[4382944923230012111616, -410564457968592, -10368960, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 47}
  • id: 451365
    {'charpoly_factorization': [[[-238763987118322051705128, -3604244065118868, 67502610, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 53}
  • id: 451366
    {'charpoly_factorization': [[[42255218866385698714800, -6912010951598820, 42590100, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 59}
  • id: 451367
    {'charpoly_factorization': [[[51129364193607680723008, 3514240390404936, -191746842, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 61}
  • id: 451368
    {'charpoly_factorization': [[[2046203321476325564406464, -1447084483230480, -255175788, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 67}
  • id: 451369
    {'charpoly_factorization': [[[1678437708012594690785280, 10350223039033344, -296514504, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 71}
  • id: 451370
    {'charpoly_factorization': [[[-19666111377492988250804248, -93316419822721428, 344213310, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 73}
  • id: 451371
    {'charpoly_factorization': [[[-11393072303017048698752000, 207231646446206400, 960412656, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 79}
  • id: 451372
    {'charpoly_factorization': [[[-18999627411523605407800848, 313075935079720092, -1100517180, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 83}
  • id: 451373
    {'charpoly_factorization': [[[199603832029143905001240, -94874685327766740, -506816478, 1], 1]], 'hecke_orbit_code': 13510799049883823, 'p': 89}
  • id: 451374
    {'charpoly_factorization': [[[494596474576725271584703016, -1460996931372270852, -647498250, 1], 1]], 'hecke_orbit_code': 13510799049883823, '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': 4, 'label': '175.10.a.d', 'level': 175, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 35476267
    {'hecke_orbit_code': 13510799049883823, 'n': 1, 'trace_an': 3}
  • id: 35476268
    {'hecke_orbit_code': 13510799049883823, 'n': 2, 'trace_an': -21}
  • id: 35476269
    {'hecke_orbit_code': 13510799049883823, 'n': 3, 'trace_an': -84}
  • id: 35476270
    {'hecke_orbit_code': 13510799049883823, 'n': 4, 'trace_an': 1557}
  • id: 35476271
    {'hecke_orbit_code': 13510799049883823, 'n': 5, 'trace_an': 0}
  • id: 35476272
    {'hecke_orbit_code': 13510799049883823, 'n': 6, 'trace_an': 4914}
  • id: 35476273
    {'hecke_orbit_code': 13510799049883823, 'n': 7, 'trace_an': -7203}
  • id: 35476274
    {'hecke_orbit_code': 13510799049883823, 'n': 8, 'trace_an': -14055}
  • id: 35476275
    {'hecke_orbit_code': 13510799049883823, 'n': 9, 'trace_an': -26001}
  • id: 35476276
    {'hecke_orbit_code': 13510799049883823, 'n': 10, 'trace_an': 0}
  • id: 35476277
    {'hecke_orbit_code': 13510799049883823, 'n': 11, 'trace_an': -3444}
  • id: 35476278
    {'hecke_orbit_code': 13510799049883823, 'n': 12, 'trace_an': 106386}
  • id: 35476279
    {'hecke_orbit_code': 13510799049883823, 'n': 13, 'trace_an': 19782}
  • id: 35476280
    {'hecke_orbit_code': 13510799049883823, 'n': 14, 'trace_an': 50421}
  • id: 35476281
    {'hecke_orbit_code': 13510799049883823, 'n': 15, 'trace_an': 0}
  • id: 35476282
    {'hecke_orbit_code': 13510799049883823, 'n': 16, 'trace_an': 482961}
  • id: 35476283
    {'hecke_orbit_code': 13510799049883823, 'n': 17, 'trace_an': -1016694}
  • id: 35476284
    {'hecke_orbit_code': 13510799049883823, 'n': 18, 'trace_an': 273267}
  • id: 35476285
    {'hecke_orbit_code': 13510799049883823, 'n': 19, 'trace_an': 222852}
  • id: 35476286
    {'hecke_orbit_code': 13510799049883823, 'n': 20, 'trace_an': 0}
  • id: 35476287
    {'hecke_orbit_code': 13510799049883823, 'n': 21, 'trace_an': 201684}
  • id: 35476288
    {'hecke_orbit_code': 13510799049883823, 'n': 22, 'trace_an': 2847048}
  • id: 35476289
    {'hecke_orbit_code': 13510799049883823, 'n': 23, 'trace_an': -1885632}
  • id: 35476290
    {'hecke_orbit_code': 13510799049883823, 'n': 24, 'trace_an': -1449630}
  • id: 35476291
    {'hecke_orbit_code': 13510799049883823, 'n': 25, 'trace_an': 0}
  • id: 35476292
    {'hecke_orbit_code': 13510799049883823, 'n': 26, 'trace_an': -8785056}
  • id: 35476293
    {'hecke_orbit_code': 13510799049883823, 'n': 27, 'trace_an': -551880}
  • id: 35476294
    {'hecke_orbit_code': 13510799049883823, 'n': 28, 'trace_an': -3738357}
  • id: 35476295
    {'hecke_orbit_code': 13510799049883823, 'n': 29, 'trace_an': 4081818}
  • id: 35476296
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