Newform data - 64.24.a.i

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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': 36864, 'analytic_conductor': 214.53058390086645, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1]], 'atkin_lehner_string': '+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [64, 1, [63, 5], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 47384113806964, 'field_disc_factorization': [[2, 2], [11, 1], [815587, 1], [1320413, 1]], 'field_poly': [-103489260, -1841764, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [17474586120020160, -141374520144, 32708, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797421617216, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 31457280, 'hecke_ring_index_factorization': [[2, 21], [3, 1], [5, 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': '64.24.a.i', 'level': 64, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '8.24.a.b', 'prim_orbit_index': 1, 'qexp_display': 'q+(-10903-\\beta _{1})q^{3}+(-10493544+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '23.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '64.24.a', 'trace_display': [0, -32708, -31480650, 993025320], 'trace_hash': 418966512933408810, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.003', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.988', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.195', 'prec': 17}, {'__RealLiteral__': 0, 'data': '23.271', 'prec': 20}, {'__RealLiteral__': 0, 'data': '4.281', 'prec': 17}, {'__RealLiteral__': 0, 'data': '260.215', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [3, 0, -32708, 0, -31480650, 0, 993025320, 0, 1389317071, 0, 23441525844, 0, -2019379246962, 0, -4994553094600, 0, -2160517821354, 0, -312191787410964, 0, -825707464014048, 0, 4776103684514040, 0, 19807036356305925, 0, -60172513040762216, 0, -172150256810092098, 0, 424442363135920032, 0, 956775180295468688, 0, -1538966670967748400, 0, -2543857445080432362, 0, 1740226054689893144, 0, 2761653172426159758, 0, 5964473505832923060, 0, 11432054542232660750, 0, -52578892233811303824, 0, -36206020957260388773, 0, 140919484512501823160, 0, -15683594666449490106, 0, -255144484970133759000, 0, 312667957724352284272, 0, 104790862916257022052, 0, -1281299617116320867298, 0, 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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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'hecke_ring_denominators': [1, 361, 361], 'hecke_ring_inverse_denominators': [1, 122880, 122880], 'hecke_ring_inverse_numerators': [[1, 0, 0], [14, 41, 1], [150877193558, -340123, 157]], 'hecke_ring_numerators': [[1, 0, 0], [157163741, 20096, -128], [-6443718435, 43535744, 5248]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 3, 'label': '64.24.a.i', 'level': 64, 'maxp': 2999, 'weight': 24}
• mf_newspaces •

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

  
  {'ALdims': [23, 22], 'ALdims_eis_new': [1, 1], 'ALdims_eis_old': [5, 5], 'ALdims_old': [67, 66], 'Nk2': 36864, 'analytic_conductor': 214.53058390086645, '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': [64, 1, [63, 5], [1, 1]], 'conrey_index': 1, 'cusp_dim': 178, 'dim': 45, 'eis_dim': 12, 'eis_new_dim': 2, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 402653248, 'hecke_orbit_dims': [1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 4, 6, 6, 6], 'label': '64.24.a', 'level': 64, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 190, 'mf_new_dim': 47, 'num_forms': 15, 'plus_dim': 23, 'prim_orbit_index': 1, 'relative_dim': 45, 'sturm_bound': 192, 'trace_bound': 3, 'trace_display': [0, 0, 2, 0], 'traces': [45, 0, 0, 0, 2, 0, 0, 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68306790618042918683773422058339021, 0, 0, 0, 161975607788370447696884536874043044, 0, 0, 0, 82915407279756606714571387642870720, 0, 0, 0, 37100360598760789591915045849714880, 0, 0, 0, 81693218208641581359993814207378138, 0, 0, 0, -126540312006849637877533371362094030, 0, 0, 0, -10434254143158790727136699693394156, 0, 0, 0, -16675218857990820778830496108635072, 0, 0, 0, -151557988386058829032931642123302112, 0, 0, 0, 479514986024998033480910439867714, 0, 0, 0], 'weight': 24, 'weight_parity': 1}
• 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: 56533
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '64.24.a.i', 'source_level': 64, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '8.24.a.b', 'target_level': 8, 'twist_class_label': '8.24.a.b', 'twist_class_level': 8, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 24}
  • id: 56534
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '64.24.a.i', 'source_level': 64, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '16.24.a.d', 'target_level': 16, 'twist_class_label': '8.24.a.b', 'twist_class_level': 8, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 24}
  • id: 56535
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '64.24.a.i', 'source_level': 64, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '64.24.a.i', 'target_level': 64, 'twist_class_label': '8.24.a.b', 'twist_class_level': 8, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 24}
  • id: 56536
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '64.24.a.i', 'source_level': 64, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '64.24.a.j', 'target_level': 64, 'twist_class_label': '8.24.a.b', 'twist_class_level': 8, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 24}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 210975
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 36028797421617216, 'p': 2}
  • id: 210976
    {'charpoly_factorization': [[[17474586120020160, -141374520144, 32708, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 3}
  • id: 210977
    {'charpoly_factorization': [[[581541212529950017075000, -27289395948558900, 31480650, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 5}
  • id: 210978
    {'charpoly_factorization': [[[19843160635748915996347740672, -22457060888410628928, -993025320, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 7}
  • id: 210979
    {'charpoly_factorization': [[[506482442381597297468959275740490304, -2124201539987910573905616, -23441525844, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 11}
  • id: 210980
    {'charpoly_factorization': [[[-161254636955218179053617029896905158056, -81457516572409857322228500, 2019379246962, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 13}
  • id: 210981
    {'charpoly_factorization': [[[1410656412749624633667377945510743724783800, -36555707677107275606507232180, 2160517821354, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 17}
  • id: 210982
    {'charpoly_factorization': [[[-174954012137530841578179905127713826853670464, -444063945480011818977077101776, 312191787410964, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 19}
  • id: 210983
    {'charpoly_factorization': [[[2768799270373920653053152026327041372158551552, -30641707861355259476552907425088, -4776103684514040, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 23}
  • id: 210984
    {'charpoly_factorization': [[[36754736375459389862926507361895362199973786091928, 7772659067738968576390653254929836, 172150256810092098, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 29}
  • id: 210985
    {'charpoly_factorization': [[[-2726684386619758150502393181071133434404682510336000, 59348670292848531570474545976314880, -424442363135920032, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 31}
  • id: 210986
    {'charpoly_factorization': [[[233843730661472878639498523993857603364609286236911032, 1772560431727679899569166843612041036, 2543857445080432362, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 37}
  • id: 210987
    {'charpoly_factorization': [[[-902356210895079426565933520942818541360366187682031016, -3444797691622737859579915646769775380, -2761653172426159758, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 41}
  • id: 210988
    {'charpoly_factorization': [[[-50114947020537178953849798803939582853821794784570784704, -69685860918735127679042276710436359632, -5964473505832923060, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 43}
  • id: 210989
    {'charpoly_factorization': [[[3995606498978652515774359880256230007387052089586604224512, 853157864523029763157979895480208718592, 52578892233811303824, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 47}
  • id: 210990
    {'charpoly_factorization': [[[-260065141263679775506986258934546287358452876743464870550792, -6900606633635043478998073184311577875188, 15683594666449490106, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 53}
  • id: 210991
    {'charpoly_factorization': [[[14886635171788549604254008700409789521277913888190556502988096, -164068658340572454191489706398415964948560, -104790862916257022052, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 59}
  • id: 210992
    {'charpoly_factorization': [[[52729287431239616320378647859218439777643313560804808370687000, 494614316189363037354534555701738819236140, 1281299617116320867298, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 61}
  • id: 210993
    {'charpoly_factorization': [[[-195502769457118793862829287865251328526473720154283013984316224, -963627789090905987122101167073518177762640, -805429647134646351612, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 67}
  • id: 210994
    {'charpoly_factorization': [[[-4718511400417091369703200251542951582355639049473307241271139840, -290973958497815494954577169519005125920576, 3282309189857685782424, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 71}
  • id: 210995
    {'charpoly_factorization': [[[379314123391975055230773195991474676074613900043103696129001432, 1282473118938136525105381427251298523512172, -2509034598106619331630, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 73}
  • id: 210996
    {'charpoly_factorization': [[[57910742481218019659050725502924284887971064885968439875447869440, 70906483842026815626807809961772151895288576, 17558070599920224291312, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 79}
  • id: 210997
    {'charpoly_factorization': [[[44659920341494199015677957588181637644536734823077334983345587648, -24356558239828712655398553488008178493927120, -15528616638328360005804, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 83}
  • id: 210998
    {'charpoly_factorization': [[[-40565778065323111204713819584598713460412979470365979753082211772776, -2431232467653472092108824576703963309535494996, 13507192466673039723906, 1], 1]], 'hecke_orbit_code': 36028797421617216, 'p': 89}
  • id: 210999
    {'charpoly_factorization': [[[-35983729040769934361518487862393178473847457735364132977120391529352, -5065929346249207664631219776787599035402872948, 1279961410088837059866, 1], 1]], 'hecke_orbit_code': 36028797421617216, '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': 9, 'label': '64.24.a.i', 'level': 64, 'portrait': 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', 'weight': 24}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 51892033
    {'hecke_orbit_code': 36028797421617216, 'n': 1, 'trace_an': 3}
  • id: 51892034
    {'hecke_orbit_code': 36028797421617216, 'n': 2, 'trace_an': 0}
  • id: 51892035
    {'hecke_orbit_code': 36028797421617216, 'n': 3, 'trace_an': -32708}
  • id: 51892036
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