Newform data - 75.22.a.h

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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
  conrey_indexes	integer[]
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 36300, 'analytic_conductor': 209.60800821529656, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, 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': [75, 1, [26, 52], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 4, 'field_disc': 43896336178604178875209, 'field_disc_factorization': [[191, 1], [479, 1], [479799059762421481, 1]], 'field_poly': [2321089280000, 363520480, -3512166, -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, [2065963121664, 1891862624, -3210438, -897, 1]]], 'hecke_orbit': 8, 'hecke_orbit_code': 31525197760692299, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 3175200, 'hecke_ring_index_factorization': [[2, 5], [3, 4], [5, 2], [7, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '75.22.a.h', 'level': 75, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'minimal_twist': '15.22.a.e', 'prim_orbit_index': 1, 'qexp_display': 'q+(224+\\beta _{1})q^{2}+3^{10}q^{3}+(-290854+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '21.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '75.22.a', 'trace_display': [897, 236196, 0, 234577504], 'trace_hash': 370322514301634569, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.724', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '39.424', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '672.703', 'prec': 24}], 'trace_zratio': 0, 'traces': [4, 897, 236196, -1163123, 0, 52966953, 234577504, -76855629, 13947137604, 0, 31491830256, -68681250027, 27017977768, -2233308126672, 0, -11324681311775, 2946095028888, 3127645607697, -24270353300752, 0, 13851567033696, 56303932793676, -10350924920928, -4538248036821, 0, 474751622871378, 823564528378596, 1868468795909968, 4728924677079096, 0, -1094923910405536, -7933327650814221, 1859561084786544, 3862795623387294, 0, -4055559132844323, -4813435696247096, -21307487199674508, 1595384569222632, 0, 289731591445930344, -131874611571854928, -451091912658458000, 245434444420437276, 0, 645145648102459824, -813883435638492480, -668711106779001975, 1545180753004755300, 0, 173963965360807512, -884645329958480822, -697278335404085208, 184684345488900153, 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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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-969982719438453107971532248916, -10526934442494345048331434221], [382628209907633581949297647793068552, -271170969136295535507485930150640, -506737466803905178199412520000, 76215737590827533949103143664]], 'char_orbit_index': 1, 'field_poly': [2321089280000, 363520480, -3512166, -1, 1], 'hecke_orbit_code': 31525197760692299, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1, 22], 'hecke_ring_inverse_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [1756122, -154, 1, 0], [-270553984, 2190262, -711, 22]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [-1756122, 154, 1, 0], [-978048758, -2080768, 711, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '75.22.a.h', 'level': 75, 'maxp': 2999, 'weight': 22}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'AL_dims': [[[[3, -1], [5, -1]], 16, 2], [[[3, 1], [5, 1]], 15, 5], [[[3, 1], [5, -1]], 18, 2], [[[3, -1], [5, 1]], 17, 5]], 'ALdims': [15, 18, 17, 16], 'Nk2': 36300, 'analytic_conductor': 209.60800821529656, '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': [75, 1, [26, 52], [1, 1]], 'conrey_index': 1, 'cusp_dim': 204, 'dim': 66, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 369098827, 'hecke_orbit_dims': [1, 1, 1, 2, 3, 3, 3, 4, 6, 6, 8, 8, 10, 10], 'label': '75.22.a', 'level': 75, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'mf_dim': 216, 'mf_new_dim': 66, 'num_forms': 14, 'plus_dim': 31, 'prim_orbit_index': 1, 'relative_dim': 66, 'sturm_bound': 220, 'trace_bound': 2, 'trace_display': [1598, 0, 0, 559598932], 'traces': [66, 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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: 66326
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 8, 'source_is_minimal': False, 'source_label': '75.22.a.h', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 5, 'target_is_minimal': True, 'target_label': '15.22.a.e', 'target_level': 15, 'twist_class_label': '15.22.a.e', 'twist_class_level': 15, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 22}
  • id: 66327
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 8, 'source_is_minimal': False, 'source_label': '75.22.a.h', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '45.22.a.g', 'target_level': 45, 'twist_class_label': '15.22.a.e', 'twist_class_level': 15, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 22}
  • id: 66328
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 8, 'source_is_minimal': False, 'source_label': '75.22.a.h', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '75.22.a.h', 'target_level': 75, 'twist_class_label': '15.22.a.e', 'twist_class_level': 15, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 22}
  • id: 66329
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 8, 'source_is_minimal': False, 'source_label': '75.22.a.h', 'source_level': 75, 'target_char_orbit': 2, 'target_dim': 8, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '75.22.b.h', 'target_level': 75, 'twist_class_label': '15.22.a.e', 'twist_class_level': 15, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 22}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 238925
    {'charpoly_factorization': [[[2065963121664, 1891862624, -3210438, -897, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 2}
  • id: 238926
    {'charpoly_factorization': [[[-59049, 1], 4]], 'hecke_orbit_code': 31525197760692299, 'p': 3}
  • id: 238927
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 31525197760692299, 'p': 5}
  • id: 238928
    {'charpoly_factorization': [[[383743482120644300925415661666304000, 396328883227766325337374720, -1862168801977510656, -234577504, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 7}
  • id: 238929
    {'charpoly_factorization': [[[28381277872317888219670139675616823821099264, 135828530855307080234681438933248, -19312068120074551638432, -31491830256, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 11}
  • id: 238930
    {'charpoly_factorization': [[[268873426021349807386537001480915737460523405584, -36800716070593616924938915126169504, -1108036936737950777531688, -27017977768, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 13}
  • id: 238931
    {'charpoly_factorization': [[[3126117540636703998211126081393748221064885507075856, -134270127188204789858228137516735511392, -161949279185939054113955496, -2946095028888, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 17}
  • id: 238932
    {'charpoly_factorization': [[[34500498078945485655609309571828525112069536990726400, -26784438194108588296787353606124744323840, -1122016742390773364602642464, 24270353300752, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 19}
  • id: 238933
    {'charpoly_factorization': [[[-97882467896375776778600843562402968945696606150590464000, 5857681076185688239010378768097020725985280, -87375522042917234112129801984, 10350924920928, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 23}
  • id: 238934
    {'charpoly_factorization': [[[-51698111869114919407013904642078816008357499442382589806742000, 55419366035739131036274669582211845253426230560, -8615954128680003089181792109416, -4728924677079096, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 29}
  • id: 238935
    {'charpoly_factorization': [[[15093410036755809776644877250045788748316048818091917312000000, -23497228991071117292317787916848512360253030400, -15156177263813620949946948216576, 1094923910405536, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 31}
  • id: 238936
    {'charpoly_factorization': [[[50902738028276392754835826318461524106289535057504308221626256400, -8983718392327521355605213392645332306489573484320, -1705834780620370056883044361244136, 4813435696247096, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 37}
  • id: 238937
    {'charpoly_factorization': [[[-70988148097466694306937224635755838526356528447560110781120580790000, 626717668457751634185028633974815287340950462916960, 20040100471128790395212720627129304, -289731591445930344, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 41}
  • id: 238938
    {'charpoly_factorization': [[[-168142645200656821462271400373249337797668046106286833261808276315904, -170723039919168078381360773034697421295228688889600, 53628003549075469769577221428204128, 451091912658458000, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 43}
  • id: 238939
    {'charpoly_factorization': [[[-2138282441670918163149287458126602544875689169627082198304261357727744, -41469855076302193875730133323223232087146163091640320, 70996736532884308065355717627189632, 813883435638492480, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 47}
  • id: 238940
    {'charpoly_factorization': [[[343049512911392603732127080919361151128523776416223802671027584756080400, -1112410904110422387734151233417074967993524228690487200, -1751504316097265064122009922806505384, 697278335404085208, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 53}
  • id: 238941
    {'charpoly_factorization': [[[97735591953825442742647737025190871064295690763197115617191783742714323200, 106209756365166093460538215589859685076290107897579700480, -20793368156049157056622924058857704864, -6622888614569598192, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 59}
  • id: 238942
    {'charpoly_factorization': [[[2772748853140256623478100799493790410058598971685572177396824249132296284176, 408657984562613119556592010625197705791750721801388802080, -94130994221938032607154340302683356648, -7390887218011683320, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 61}
  • id: 238943
    {'charpoly_factorization': [[[28101773869313131338352518536798403955571804051674653865985795157035971481856, 3775330820854699506521328410729408975665271817224760945408, -229042213596636635406215328262853083296, -24188188449376788688, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 67}
  • id: 238944
    {'charpoly_factorization': [[[-174155452652628671764487922142823029352266186382196214441059763328791533318144, -34885138177175458229586900690027461748786696708493950318592, -1139463428933347426505646390231682375296, 37390337803999713312, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 71}
  • id: 238945
    {'charpoly_factorization': [[[-99224270188047384046262956583035411054218726917645555817471227781947804162800, 12178398494082618130220355106486656860561566991319385743520, -34326670508947858402927007441557140264, -37253672904265201432, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 73}
  • id: 238946
    {'charpoly_factorization': [[[-12491659494476605469195544050095629894496474702724019536037320574822150144000000, -979320490199289162418845200807165522419367125829420083200000, -7989976050687852877434024218805467769600, 109751291042259570400, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 79}
  • id: 238947
    {'charpoly_factorization': [[[-79906271600397952499194113081421659552297186737552301904332541122481503618445056, 3510562983549102883166340450603451397844516592423171290594048, -30149560645279164228205996073477325581472, -149023592088638482896, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 83}
  • id: 238948
    {'charpoly_factorization': [[[85928687855151514423903558307575585638097404912023250992369418199007126089866000, -4988745067107050271415050446682710227600024951734344794507680, 88379878473011091764935528702921534539096, -558502237151273959848, 1], 1]], 'hecke_orbit_code': 31525197760692299, 'p': 89}
  • id: 238949
    {'charpoly_factorization': [[[-16986617770411665031361304084824596665919882978220925885493241279225356388816010224, -236981001326529697888318286476571490238100529544085777828411872, -800778384912282913045222904652702838836456, -236244923748673777528, 1], 1]], 'hecke_orbit_code': 31525197760692299, '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': 8, 'label': '75.22.a.h', 'level': 75, 'portrait': 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', 'weight': 22}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 192644000
    {'hecke_orbit_code': 31525197760692299, 'n': 1, 'trace_an': 4}
  • id: 192644001
    {'hecke_orbit_code': 31525197760692299, 'n': 2, 'trace_an': 897}
  • id: 192644002
    {'hecke_orbit_code': 31525197760692299, 'n': 3, 'trace_an': 236196}
  • id: 192644003
    {'hecke_orbit_code': 31525197760692299, 'n': 4, 'trace_an': -1163123}
  • id: 192644004
    {'hecke_orbit_code': 31525197760692299, 'n': 5, 'trace_an': 0}
  • id: 192644005
    {'hecke_orbit_code': 31525197760692299, 'n': 6, 'trace_an': 52966953}
  • id: 192644006
    {'hecke_orbit_code': 31525197760692299, 'n': 7, 'trace_an': 234577504}
  • id: 192644007
    {'hecke_orbit_code': 31525197760692299, 'n': 8, 'trace_an': -76855629}
  • id: 192644008
    {'hecke_orbit_code': 31525197760692299, 'n': 9, 'trace_an': 13947137604}
  • id: 192644009
    {'hecke_orbit_code': 31525197760692299, 'n': 10, 'trace_an': 0}
  • id: 192644010
    {'hecke_orbit_code': 31525197760692299, 'n': 11, 'trace_an': 31491830256}
  • id: 192644011
    {'hecke_orbit_code': 31525197760692299, 'n': 12, 'trace_an': -68681250027}
  • id: 192644012
    {'hecke_orbit_code': 31525197760692299, 'n': 13, 'trace_an': 27017977768}
  • id: 192644013
    {'hecke_orbit_code': 31525197760692299, 'n': 14, 'trace_an': -2233308126672}
  • id: 192644014
    {'hecke_orbit_code': 31525197760692299, 'n': 15, 'trace_an': 0}
  • id: 192644015
    {'hecke_orbit_code': 31525197760692299, 'n': 16, 'trace_an': -11324681311775}
  • id: 192644016
    {'hecke_orbit_code': 31525197760692299, 'n': 17, 'trace_an': 2946095028888}
  • id: 192644017
    {'hecke_orbit_code': 31525197760692299, 'n': 18, 'trace_an': 3127645607697}
  • id: 192644018
    {'hecke_orbit_code': 31525197760692299, 'n': 19, 'trace_an': -24270353300752}
  • id: 192644019
    {'hecke_orbit_code': 31525197760692299, 'n': 20, 'trace_an': 0}
  • id: 192644020
    {'hecke_orbit_code': 31525197760692299, 'n': 21, 'trace_an': 13851567033696}
  • id: 192644021
    {'hecke_orbit_code': 31525197760692299, 'n': 22, 'trace_an': 56303932793676}
  • id: 192644022
    {'hecke_orbit_code': 31525197760692299, 'n': 23, 'trace_an': -10350924920928}
  • id: 192644023
    {'hecke_orbit_code': 31525197760692299, 'n': 24, 'trace_an': -4538248036821}
  • id: 192644024
    {'hecke_orbit_code': 31525197760692299, 'n': 25, 'trace_an': 0}
  • id: 192644025
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    {'hecke_orbit_code': 31525197760692299, 'n': 993, 'trace_an': 17488518632233175574622132705872}
  • id: 192644993
    {'hecke_orbit_code': 31525197760692299, 'n': 994, 'trace_an': -3134537688166259063789885414784}
  • id: 192644994
    {'hecke_orbit_code': 31525197760692299, 'n': 995, 'trace_an': 0}
  • id: 192644995
    {'hecke_orbit_code': 31525197760692299, 'n': 996, 'trace_an': 2726315730923106494425145485860}
  • id: 192644996
    {'hecke_orbit_code': 31525197760692299, 'n': 997, 'trace_an': 56915770803417157787957429631112}
  • id: 192644997
    {'hecke_orbit_code': 31525197760692299, 'n': 998, 'trace_an': -52115558657241545923062529702668}
  • id: 192644998
    {'hecke_orbit_code': 31525197760692299, 'n': 999, 'trace_an': -991043724765109622366763389304}
  • id: 192644999
    {'hecke_orbit_code': 31525197760692299, 'n': 1000, 'trace_an': 0}